--- 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 -1597.94 -1631.77
2 -1597.88 -1626.60
--------------------------------------
TOTAL -1597.91 -1631.08
--------------------------------------
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} 0.209584 0.000672 0.159976 0.260605 0.207728 712.79 1106.90 1.000
r(A<->C){all} 0.141028 0.001540 0.071792 0.221910 0.138815 513.84 557.94 1.000
r(A<->G){all} 0.200779 0.002161 0.111705 0.291271 0.197789 583.95 609.66 1.000
r(A<->T){all} 0.075992 0.000555 0.030503 0.120984 0.073421 861.54 921.14 1.000
r(C<->G){all} 0.065990 0.000999 0.014304 0.131858 0.062268 640.46 674.29 1.000
r(C<->T){all} 0.396777 0.002607 0.295763 0.496783 0.394717 553.08 598.70 1.000
r(G<->T){all} 0.119434 0.000905 0.060891 0.175061 0.117081 802.42 827.70 1.000
pi(A){all} 0.229424 0.000237 0.200886 0.260892 0.229206 1126.69 1177.43 1.000
pi(C){all} 0.195045 0.000220 0.167692 0.224765 0.194943 755.62 830.44 1.000
pi(G){all} 0.197214 0.000203 0.170236 0.224697 0.196959 915.12 991.74 1.000
pi(T){all} 0.378318 0.000315 0.343173 0.413175 0.378483 1156.69 1173.12 1.000
alpha{1,2} 0.838821 0.633646 0.000494 2.340800 0.605708 800.73 1001.44 1.000
alpha{3} 1.333005 1.033418 0.073511 3.307808 1.030137 1195.30 1261.90 1.000
pinvar{all} 0.308232 0.027115 0.000129 0.568187 0.313706 523.68 688.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -124.640578
Model 2: PositiveSelection -124.640578
Model 7: beta -124.644644
Model 8: beta&w>1 -124.640578
Model 2 vs 1 0
Model 8 vs 7 .008132
-- Starting log on Thu Nov 17 16:36:21 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 16:38:23 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 23:33:58 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result/gapped_alignment/codeml,LZW_NA_AIJ01342_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 672 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C65
Taxon 2 -> C325
Taxon 3 -> C183
Taxon 4 -> C182
Taxon 5 -> C438
Taxon 6 -> C229
Taxon 7 -> C194
Taxon 8 -> C292
Taxon 9 -> C185
Taxon 10 -> C657
Taxon 11 -> C517
Taxon 12 -> C337
Taxon 13 -> C60
Taxon 14 -> C258
Taxon 15 -> C270
Taxon 16 -> C367
Taxon 17 -> C109
Taxon 18 -> C111
Taxon 19 -> C190
Taxon 20 -> C266
Taxon 21 -> C284
Taxon 22 -> C7
Taxon 23 -> C314
Taxon 24 -> C562
Taxon 25 -> C385
Taxon 26 -> C129
Taxon 27 -> C136
Taxon 28 -> C533
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) = 1668728040
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) = 1345684230
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 = 0336882482
Seed = 1214427129
Swapseed = 1668728040
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 42 unique site patterns
Division 2 has 38 unique site patterns
Division 3 has 67 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 -- -2673.912587 -- 82.122948
Chain 2 -- -2565.911376 -- 82.122948
Chain 3 -- -2675.254976 -- 82.122948
Chain 4 -- -2660.729841 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2626.037658 -- 82.122948
Chain 2 -- -2693.005500 -- 82.122948
Chain 3 -- -2702.027729 -- 82.122948
Chain 4 -- -2598.335323 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2673.913] (-2565.911) (-2675.255) (-2660.730) * [-2626.038] (-2693.006) (-2702.028) (-2598.335)
1000 -- (-1785.951) (-1717.888) (-1736.981) [-1666.980] * (-1720.852) [-1672.962] (-1685.957) (-1706.142) -- 0:16:39
2000 -- (-1669.069) [-1636.070] (-1649.140) (-1641.121) * (-1642.815) (-1645.636) [-1610.213] (-1672.436) -- 0:16:38
3000 -- (-1630.101) (-1628.183) [-1614.010] (-1635.070) * (-1636.620) (-1623.488) [-1611.859] (-1661.086) -- 0:16:37
4000 -- (-1642.296) (-1612.543) [-1613.906] (-1632.894) * (-1609.367) (-1616.547) [-1609.637] (-1653.634) -- 0:16:36
5000 -- (-1625.035) (-1619.750) (-1614.272) [-1610.610] * [-1605.331] (-1620.278) (-1632.368) (-1618.280) -- 0:16:35
Average standard deviation of split frequencies: 0.086036
6000 -- (-1622.584) (-1629.870) (-1624.650) [-1615.881] * [-1612.994] (-1624.588) (-1628.141) (-1622.089) -- 0:16:34
7000 -- (-1640.932) (-1608.827) (-1625.737) [-1606.356] * [-1614.080] (-1604.967) (-1645.943) (-1621.034) -- 0:16:33
8000 -- (-1633.452) [-1607.831] (-1624.140) (-1604.000) * (-1630.893) (-1608.218) (-1651.296) [-1603.724] -- 0:16:32
9000 -- (-1626.336) (-1618.009) [-1614.518] (-1612.486) * [-1628.608] (-1609.769) (-1641.400) (-1615.527) -- 0:16:31
10000 -- (-1625.230) (-1612.301) (-1607.954) [-1599.440] * (-1639.400) [-1622.282] (-1639.219) (-1614.782) -- 0:16:30
Average standard deviation of split frequencies: 0.077340
11000 -- (-1637.958) [-1609.580] (-1627.886) (-1612.320) * (-1620.257) (-1600.409) (-1616.360) [-1601.528] -- 0:16:29
12000 -- (-1622.084) (-1625.843) [-1618.796] (-1622.659) * (-1619.344) [-1613.500] (-1633.840) (-1603.234) -- 0:16:28
13000 -- (-1654.865) (-1617.857) [-1616.421] (-1605.219) * (-1623.559) [-1611.062] (-1612.489) (-1619.170) -- 0:16:27
14000 -- (-1630.935) (-1617.524) [-1609.434] (-1626.001) * (-1627.208) (-1619.628) (-1623.008) [-1600.521] -- 0:16:26
15000 -- [-1611.995] (-1625.117) (-1614.153) (-1622.525) * [-1614.172] (-1607.547) (-1631.001) (-1622.535) -- 0:16:25
Average standard deviation of split frequencies: 0.056659
16000 -- [-1597.228] (-1611.340) (-1601.779) (-1632.628) * (-1621.085) [-1621.206] (-1630.627) (-1611.584) -- 0:16:24
17000 -- [-1610.002] (-1632.902) (-1611.379) (-1637.706) * (-1608.833) (-1615.771) (-1620.101) [-1606.833] -- 0:16:23
18000 -- [-1614.980] (-1629.093) (-1614.652) (-1638.049) * (-1610.071) (-1624.863) (-1614.922) [-1613.424] -- 0:16:22
19000 -- (-1625.741) (-1615.713) [-1606.688] (-1616.699) * (-1622.764) (-1635.553) [-1606.915] (-1611.185) -- 0:16:21
20000 -- (-1640.774) (-1616.764) (-1618.896) [-1613.150] * [-1619.292] (-1622.598) (-1594.726) (-1624.491) -- 0:16:20
Average standard deviation of split frequencies: 0.047140
21000 -- (-1622.953) (-1614.932) (-1610.494) [-1609.606] * (-1618.096) (-1628.466) (-1619.803) [-1610.063] -- 0:16:19
22000 -- (-1618.460) (-1606.044) (-1618.158) [-1618.732] * [-1614.534] (-1616.510) (-1615.111) (-1624.306) -- 0:16:18
23000 -- [-1611.353] (-1626.528) (-1616.298) (-1618.718) * (-1630.211) (-1610.023) [-1609.146] (-1620.350) -- 0:16:17
24000 -- [-1616.569] (-1617.666) (-1619.734) (-1614.190) * [-1621.141] (-1622.891) (-1624.076) (-1626.214) -- 0:16:16
25000 -- (-1616.967) (-1628.337) (-1619.590) [-1628.882] * [-1622.257] (-1617.331) (-1636.426) (-1623.115) -- 0:16:15
Average standard deviation of split frequencies: 0.040911
26000 -- (-1628.309) [-1621.265] (-1629.739) (-1615.787) * (-1604.005) [-1606.753] (-1631.476) (-1631.849) -- 0:16:14
27000 -- (-1627.814) [-1614.362] (-1621.771) (-1606.025) * (-1609.927) [-1602.623] (-1628.349) (-1634.722) -- 0:16:13
28000 -- (-1616.543) [-1617.521] (-1635.138) (-1607.106) * (-1612.392) (-1618.186) [-1611.127] (-1630.360) -- 0:16:12
29000 -- [-1612.267] (-1627.703) (-1627.589) (-1617.251) * (-1606.736) (-1619.808) (-1622.571) [-1617.678] -- 0:16:11
30000 -- (-1631.941) (-1639.001) (-1620.054) [-1608.175] * [-1603.115] (-1613.270) (-1615.769) (-1620.942) -- 0:16:10
Average standard deviation of split frequencies: 0.038222
31000 -- (-1626.508) (-1603.508) (-1635.224) [-1615.028] * [-1603.191] (-1610.073) (-1628.429) (-1618.733) -- 0:16:09
32000 -- (-1612.348) [-1602.831] (-1624.167) (-1611.439) * (-1613.198) [-1611.914] (-1613.665) (-1634.699) -- 0:16:08
33000 -- (-1628.521) (-1616.810) [-1604.412] (-1607.893) * (-1608.727) [-1608.892] (-1606.717) (-1616.930) -- 0:16:07
34000 -- (-1615.760) [-1612.073] (-1618.542) (-1611.493) * [-1606.060] (-1626.997) (-1611.560) (-1609.729) -- 0:16:06
35000 -- (-1612.569) (-1599.745) [-1618.298] (-1625.332) * (-1617.592) [-1611.160] (-1628.768) (-1623.255) -- 0:16:05
Average standard deviation of split frequencies: 0.033728
36000 -- (-1633.699) (-1612.021) [-1598.739] (-1625.099) * (-1624.356) (-1613.701) (-1628.802) [-1594.459] -- 0:16:04
37000 -- (-1639.047) (-1609.099) [-1609.352] (-1615.367) * (-1621.765) (-1608.846) (-1617.534) [-1604.337] -- 0:16:29
38000 -- (-1635.960) [-1608.648] (-1620.050) (-1615.551) * (-1603.472) [-1605.558] (-1616.966) (-1627.146) -- 0:16:27
39000 -- (-1622.320) (-1616.517) (-1615.716) [-1607.639] * (-1620.196) [-1610.503] (-1624.617) (-1619.110) -- 0:16:25
40000 -- (-1626.721) (-1615.041) [-1614.710] (-1626.021) * (-1631.930) (-1611.698) [-1604.567] (-1617.690) -- 0:16:24
Average standard deviation of split frequencies: 0.037094
41000 -- (-1611.451) [-1602.184] (-1614.414) (-1631.629) * (-1639.491) (-1614.418) [-1601.558] (-1616.349) -- 0:16:22
42000 -- (-1642.210) (-1621.033) [-1604.898] (-1631.143) * (-1620.313) [-1605.361] (-1613.709) (-1617.863) -- 0:16:20
43000 -- (-1617.418) (-1631.111) (-1623.643) [-1608.020] * (-1617.907) [-1602.151] (-1612.534) (-1615.404) -- 0:16:19
44000 -- (-1614.736) (-1624.747) (-1620.693) [-1609.079] * (-1622.420) (-1616.867) (-1615.574) [-1619.497] -- 0:16:17
45000 -- [-1605.226] (-1629.419) (-1623.242) (-1607.865) * (-1623.479) (-1616.800) [-1619.661] (-1619.811) -- 0:16:16
Average standard deviation of split frequencies: 0.038882
46000 -- (-1631.096) (-1619.514) (-1632.808) [-1601.055] * [-1626.078] (-1620.265) (-1619.576) (-1628.079) -- 0:16:14
47000 -- (-1622.829) (-1629.833) (-1631.061) [-1599.795] * (-1635.048) (-1628.226) [-1605.303] (-1606.252) -- 0:16:13
48000 -- (-1638.037) (-1613.280) (-1614.962) [-1609.403] * (-1626.490) (-1630.036) (-1619.019) [-1612.321] -- 0:16:11
49000 -- [-1618.240] (-1626.770) (-1608.615) (-1629.411) * (-1628.930) (-1637.292) [-1624.422] (-1614.738) -- 0:16:10
50000 -- (-1603.659) [-1603.065] (-1620.480) (-1618.559) * (-1617.765) (-1635.625) [-1616.695] (-1616.257) -- 0:16:09
Average standard deviation of split frequencies: 0.041321
51000 -- (-1628.080) [-1604.129] (-1616.818) (-1617.301) * [-1597.681] (-1615.908) (-1618.625) (-1629.929) -- 0:16:07
52000 -- (-1617.152) (-1603.702) (-1608.175) [-1616.325] * (-1604.414) (-1624.894) [-1615.559] (-1608.979) -- 0:16:06
53000 -- [-1605.522] (-1627.239) (-1621.880) (-1604.868) * (-1614.941) (-1629.671) [-1611.534] (-1606.282) -- 0:16:04
54000 -- [-1603.231] (-1607.948) (-1628.506) (-1621.541) * [-1611.947] (-1623.123) (-1618.771) (-1601.035) -- 0:16:03
55000 -- (-1621.565) (-1629.541) (-1633.966) [-1610.320] * (-1617.923) (-1613.179) [-1616.912] (-1624.431) -- 0:16:02
Average standard deviation of split frequencies: 0.043620
56000 -- (-1623.629) (-1640.158) (-1615.334) [-1607.162] * [-1603.530] (-1630.824) (-1600.334) (-1608.585) -- 0:16:00
57000 -- [-1600.786] (-1626.790) (-1621.357) (-1612.858) * (-1611.526) (-1617.617) (-1615.311) [-1612.738] -- 0:15:59
58000 -- (-1620.593) (-1619.872) [-1613.739] (-1618.990) * (-1617.573) (-1616.687) [-1609.646] (-1608.918) -- 0:15:58
59000 -- (-1636.546) [-1620.005] (-1609.824) (-1619.693) * (-1610.395) (-1615.525) [-1604.902] (-1630.372) -- 0:15:56
60000 -- (-1625.556) (-1636.366) [-1610.428] (-1648.782) * (-1612.259) (-1633.470) [-1614.146] (-1617.224) -- 0:15:55
Average standard deviation of split frequencies: 0.044437
61000 -- (-1617.947) [-1610.553] (-1611.405) (-1627.296) * [-1603.360] (-1628.082) (-1612.915) (-1623.959) -- 0:15:54
62000 -- (-1627.639) [-1621.336] (-1598.177) (-1626.733) * (-1622.709) [-1610.890] (-1619.318) (-1613.697) -- 0:15:53
63000 -- (-1610.234) (-1631.197) (-1621.073) [-1609.852] * (-1618.946) (-1616.359) [-1606.059] (-1617.679) -- 0:15:51
64000 -- (-1615.462) (-1640.118) [-1622.905] (-1615.277) * (-1617.460) [-1621.463] (-1613.490) (-1648.037) -- 0:15:50
65000 -- (-1608.707) (-1625.635) (-1633.275) [-1612.404] * (-1618.562) (-1633.889) [-1616.556] (-1626.903) -- 0:15:49
Average standard deviation of split frequencies: 0.046751
66000 -- (-1612.910) (-1627.900) [-1617.022] (-1613.072) * [-1621.772] (-1620.397) (-1635.462) (-1639.786) -- 0:15:48
67000 -- [-1614.667] (-1631.564) (-1621.223) (-1606.733) * (-1630.082) (-1616.938) [-1617.377] (-1625.957) -- 0:15:46
68000 -- [-1607.262] (-1610.342) (-1621.913) (-1626.709) * (-1625.804) (-1606.378) (-1622.784) [-1614.665] -- 0:15:45
69000 -- [-1605.347] (-1615.497) (-1611.787) (-1608.379) * (-1608.146) [-1601.010] (-1611.523) (-1614.468) -- 0:15:44
70000 -- (-1620.646) (-1619.740) [-1608.280] (-1627.982) * (-1630.009) (-1607.534) [-1603.369] (-1628.238) -- 0:15:43
Average standard deviation of split frequencies: 0.046487
71000 -- (-1602.667) (-1605.589) [-1610.902] (-1625.911) * [-1611.484] (-1615.876) (-1617.329) (-1632.560) -- 0:15:42
72000 -- (-1607.983) (-1613.964) [-1610.117] (-1646.958) * (-1619.458) [-1615.349] (-1611.213) (-1631.067) -- 0:15:40
73000 -- (-1618.555) [-1626.291] (-1611.767) (-1621.083) * (-1624.933) [-1606.618] (-1618.088) (-1627.848) -- 0:15:52
74000 -- (-1613.107) (-1615.198) [-1619.388] (-1623.665) * (-1612.492) [-1614.969] (-1620.500) (-1631.834) -- 0:16:03
75000 -- (-1609.779) (-1621.912) [-1608.581] (-1635.700) * (-1609.464) (-1624.579) [-1603.017] (-1617.986) -- 0:16:01
Average standard deviation of split frequencies: 0.039817
76000 -- [-1617.027] (-1620.934) (-1610.567) (-1633.323) * (-1608.496) [-1617.891] (-1611.896) (-1626.151) -- 0:16:12
77000 -- (-1633.148) (-1618.277) [-1608.082] (-1617.597) * [-1600.753] (-1620.105) (-1627.137) (-1604.675) -- 0:16:10
78000 -- (-1638.565) [-1618.219] (-1618.369) (-1615.909) * [-1611.977] (-1610.625) (-1606.994) (-1622.180) -- 0:16:21
79000 -- (-1625.284) (-1613.351) (-1604.664) [-1608.051] * (-1617.539) (-1617.346) [-1609.132] (-1627.937) -- 0:16:19
80000 -- (-1634.819) (-1627.355) (-1614.121) [-1621.123] * (-1615.296) (-1629.123) [-1607.772] (-1621.283) -- 0:16:29
Average standard deviation of split frequencies: 0.039587
81000 -- (-1621.962) (-1619.658) [-1597.333] (-1622.095) * [-1602.411] (-1631.308) (-1607.609) (-1624.511) -- 0:16:27
82000 -- [-1615.822] (-1603.361) (-1615.548) (-1613.052) * (-1620.858) (-1631.229) [-1606.808] (-1606.255) -- 0:16:36
83000 -- (-1608.971) (-1613.870) [-1606.433] (-1623.469) * (-1636.948) (-1627.777) [-1612.098] (-1619.653) -- 0:16:45
84000 -- (-1624.055) [-1607.990] (-1619.008) (-1618.774) * (-1623.910) (-1666.054) [-1606.045] (-1618.013) -- 0:16:43
85000 -- (-1612.970) [-1603.317] (-1630.092) (-1599.696) * (-1612.262) (-1639.771) (-1610.497) [-1613.890] -- 0:16:51
Average standard deviation of split frequencies: 0.034882
86000 -- (-1634.614) (-1610.590) [-1621.003] (-1613.637) * (-1622.057) (-1628.223) [-1602.521] (-1619.896) -- 0:16:49
87000 -- (-1618.016) [-1592.882] (-1624.733) (-1615.583) * (-1627.036) (-1643.858) (-1611.230) [-1608.798] -- 0:16:57
88000 -- (-1621.764) [-1602.216] (-1617.171) (-1614.112) * [-1619.089] (-1642.372) (-1620.555) (-1607.782) -- 0:16:55
89000 -- (-1622.676) (-1611.889) [-1622.454] (-1604.194) * (-1623.508) (-1634.105) [-1623.362] (-1605.230) -- 0:17:03
90000 -- (-1632.378) (-1606.826) [-1612.457] (-1620.806) * (-1602.406) (-1625.304) (-1613.844) [-1606.691] -- 0:17:01
Average standard deviation of split frequencies: 0.031349
91000 -- [-1614.438] (-1596.349) (-1616.907) (-1624.728) * (-1605.272) (-1623.131) (-1618.642) [-1611.439] -- 0:17:08
92000 -- [-1612.099] (-1608.438) (-1627.581) (-1616.842) * (-1601.968) (-1620.476) [-1609.431] (-1615.505) -- 0:17:06
93000 -- [-1603.966] (-1605.720) (-1613.270) (-1626.588) * (-1620.048) (-1624.126) [-1613.430] (-1633.670) -- 0:17:13
94000 -- [-1609.332] (-1611.016) (-1618.241) (-1618.741) * (-1619.755) [-1623.227] (-1616.909) (-1622.032) -- 0:17:11
95000 -- (-1607.952) [-1608.087] (-1622.071) (-1622.009) * (-1627.594) [-1602.725] (-1617.433) (-1633.139) -- 0:17:18
Average standard deviation of split frequencies: 0.027441
96000 -- [-1617.770] (-1612.233) (-1619.645) (-1619.746) * [-1607.020] (-1620.624) (-1603.392) (-1625.597) -- 0:17:15
97000 -- (-1626.651) [-1608.448] (-1613.943) (-1614.862) * [-1603.624] (-1624.464) (-1632.813) (-1614.901) -- 0:17:22
98000 -- (-1609.786) [-1618.934] (-1607.492) (-1608.093) * [-1619.208] (-1626.247) (-1623.354) (-1608.593) -- 0:17:29
99000 -- (-1619.814) (-1614.778) [-1611.439] (-1621.232) * (-1619.639) (-1629.332) [-1602.911] (-1621.113) -- 0:17:26
100000 -- (-1610.537) (-1623.020) [-1626.567] (-1626.275) * (-1609.605) [-1612.782] (-1615.313) (-1618.201) -- 0:17:33
Average standard deviation of split frequencies: 0.028243
101000 -- (-1630.830) [-1608.678] (-1611.601) (-1615.693) * (-1615.211) (-1625.233) (-1599.845) [-1605.720] -- 0:17:30
102000 -- (-1613.700) [-1607.053] (-1615.456) (-1616.835) * (-1616.976) (-1620.628) (-1615.800) [-1619.562] -- 0:17:36
103000 -- [-1629.450] (-1631.578) (-1619.143) (-1606.535) * (-1628.654) (-1607.684) [-1599.553] (-1619.504) -- 0:17:33
104000 -- (-1617.680) (-1611.492) [-1619.182] (-1618.771) * (-1620.081) [-1619.766] (-1609.773) (-1637.204) -- 0:17:39
105000 -- (-1631.971) (-1621.147) (-1607.202) [-1612.685] * (-1624.317) [-1602.056] (-1606.555) (-1630.972) -- 0:17:45
Average standard deviation of split frequencies: 0.027064
106000 -- (-1629.551) (-1629.357) [-1617.022] (-1613.233) * (-1611.401) (-1615.874) (-1622.935) [-1619.129] -- 0:17:42
107000 -- (-1635.801) [-1616.337] (-1600.545) (-1616.522) * (-1608.488) (-1621.221) [-1606.437] (-1622.957) -- 0:17:48
108000 -- [-1620.463] (-1617.633) (-1619.303) (-1616.508) * [-1604.878] (-1614.166) (-1622.503) (-1619.871) -- 0:17:45
109000 -- (-1612.780) (-1604.468) [-1607.896] (-1630.679) * [-1608.451] (-1622.199) (-1613.084) (-1613.755) -- 0:17:50
110000 -- (-1619.764) (-1614.915) [-1608.954] (-1625.412) * [-1613.477] (-1617.212) (-1615.142) (-1633.057) -- 0:17:48
Average standard deviation of split frequencies: 0.026532
111000 -- [-1610.534] (-1628.792) (-1599.269) (-1644.116) * (-1627.498) (-1615.058) [-1607.893] (-1627.989) -- 0:17:53
112000 -- [-1623.968] (-1622.476) (-1620.561) (-1631.729) * (-1621.188) [-1616.070] (-1614.236) (-1642.435) -- 0:17:50
113000 -- (-1622.119) (-1612.084) (-1619.779) [-1619.391] * (-1621.958) (-1621.424) [-1615.447] (-1622.196) -- 0:17:55
114000 -- (-1617.930) (-1630.811) (-1614.411) [-1599.953] * [-1607.099] (-1640.896) (-1611.766) (-1619.644) -- 0:18:00
115000 -- (-1628.202) (-1618.286) (-1619.148) [-1606.890] * (-1604.949) (-1644.330) (-1625.018) [-1605.458] -- 0:17:57
Average standard deviation of split frequencies: 0.022112
116000 -- (-1612.854) (-1631.942) (-1623.531) [-1626.523] * [-1607.340] (-1629.554) (-1622.821) (-1618.742) -- 0:18:02
117000 -- (-1617.689) (-1627.419) [-1609.873] (-1612.471) * (-1620.343) [-1606.502] (-1613.495) (-1615.929) -- 0:17:59
118000 -- (-1609.627) (-1616.229) (-1620.894) [-1614.350] * (-1619.932) (-1619.450) (-1608.322) [-1618.963] -- 0:18:03
119000 -- (-1600.519) [-1602.793] (-1606.996) (-1628.787) * (-1634.489) (-1627.246) (-1611.876) [-1609.455] -- 0:18:08
120000 -- [-1595.563] (-1619.801) (-1605.972) (-1632.154) * (-1618.743) (-1615.765) [-1612.986] (-1617.480) -- 0:18:05
Average standard deviation of split frequencies: 0.021427
121000 -- (-1608.726) (-1634.173) [-1600.373] (-1623.812) * [-1610.004] (-1620.539) (-1616.531) (-1625.922) -- 0:18:02
122000 -- (-1618.014) (-1618.526) [-1607.811] (-1612.343) * (-1608.965) (-1626.010) [-1611.461] (-1620.692) -- 0:17:59
123000 -- [-1598.259] (-1621.876) (-1613.579) (-1622.594) * (-1620.329) (-1626.352) (-1619.795) [-1618.552] -- 0:17:56
124000 -- (-1616.167) (-1621.895) [-1605.136] (-1639.170) * (-1640.744) (-1624.108) (-1612.109) [-1619.902] -- 0:17:53
125000 -- (-1605.527) [-1615.120] (-1609.482) (-1630.698) * (-1627.203) (-1603.268) [-1615.006] (-1615.818) -- 0:17:51
Average standard deviation of split frequencies: 0.020067
126000 -- (-1607.652) [-1606.545] (-1614.832) (-1614.101) * (-1622.078) [-1606.279] (-1619.224) (-1625.097) -- 0:17:55
127000 -- [-1604.449] (-1625.810) (-1618.605) (-1622.797) * (-1614.642) [-1607.642] (-1617.541) (-1617.804) -- 0:17:52
128000 -- (-1606.771) [-1594.584] (-1616.578) (-1614.643) * [-1611.954] (-1619.572) (-1610.488) (-1633.065) -- 0:17:56
129000 -- [-1619.396] (-1605.642) (-1618.733) (-1630.066) * (-1636.843) [-1609.485] (-1616.273) (-1619.255) -- 0:18:00
130000 -- (-1623.476) (-1615.631) [-1607.523] (-1647.565) * [-1626.490] (-1615.609) (-1629.350) (-1631.788) -- 0:17:57
Average standard deviation of split frequencies: 0.020970
131000 -- (-1612.463) [-1620.166] (-1612.224) (-1637.633) * [-1613.838] (-1617.437) (-1607.145) (-1622.979) -- 0:18:01
132000 -- (-1617.786) [-1627.676] (-1621.379) (-1611.509) * [-1612.949] (-1611.508) (-1619.045) (-1625.424) -- 0:17:58
133000 -- [-1622.111] (-1619.726) (-1630.394) (-1613.185) * (-1618.767) [-1610.322] (-1636.146) (-1625.949) -- 0:18:02
134000 -- (-1637.931) [-1612.945] (-1610.800) (-1603.137) * (-1629.053) (-1613.494) (-1628.470) [-1603.589] -- 0:18:05
135000 -- [-1620.680] (-1623.213) (-1615.658) (-1618.181) * (-1624.899) (-1613.331) [-1630.975] (-1613.888) -- 0:18:02
Average standard deviation of split frequencies: 0.020039
136000 -- [-1602.031] (-1618.619) (-1625.042) (-1627.394) * [-1612.778] (-1621.790) (-1616.333) (-1614.985) -- 0:18:06
137000 -- [-1610.233] (-1635.859) (-1624.483) (-1610.696) * (-1618.196) [-1611.713] (-1623.262) (-1606.131) -- 0:18:03
138000 -- (-1612.288) (-1618.660) (-1628.411) [-1608.847] * (-1621.089) [-1611.191] (-1634.184) (-1603.995) -- 0:18:00
139000 -- [-1605.263] (-1610.463) (-1608.588) (-1626.635) * (-1612.463) [-1610.764] (-1633.591) (-1615.498) -- 0:17:57
140000 -- [-1614.335] (-1598.174) (-1605.810) (-1642.619) * (-1616.043) (-1618.598) (-1622.765) [-1619.590] -- 0:17:55
Average standard deviation of split frequencies: 0.020107
141000 -- (-1624.235) [-1601.365] (-1615.871) (-1639.416) * (-1621.754) (-1633.825) (-1605.200) [-1613.291] -- 0:17:52
142000 -- (-1612.291) [-1612.390] (-1624.858) (-1632.325) * (-1614.405) [-1607.620] (-1602.566) (-1629.274) -- 0:17:49
143000 -- (-1624.689) (-1611.340) [-1606.197] (-1625.338) * [-1603.158] (-1612.161) (-1625.796) (-1618.446) -- 0:17:46
144000 -- (-1626.279) (-1622.591) [-1611.470] (-1631.829) * (-1605.474) (-1619.065) (-1631.056) [-1618.514] -- 0:17:44
145000 -- (-1629.806) (-1611.322) [-1602.372] (-1616.336) * (-1613.581) (-1627.900) [-1619.836] (-1615.101) -- 0:17:41
Average standard deviation of split frequencies: 0.020607
146000 -- (-1607.294) (-1615.216) [-1609.972] (-1619.543) * (-1617.043) (-1614.482) (-1617.504) [-1614.575] -- 0:17:38
147000 -- (-1622.540) [-1608.631] (-1619.479) (-1615.294) * (-1627.174) [-1601.851] (-1613.082) (-1613.308) -- 0:17:36
148000 -- (-1623.299) (-1608.221) (-1624.145) [-1605.614] * [-1617.157] (-1611.876) (-1604.907) (-1628.189) -- 0:17:33
149000 -- [-1625.445] (-1602.395) (-1608.098) (-1623.524) * [-1608.542] (-1624.806) (-1628.800) (-1619.361) -- 0:17:30
150000 -- (-1625.723) [-1614.023] (-1598.286) (-1632.201) * (-1613.131) (-1626.311) (-1620.518) [-1606.025] -- 0:17:28
Average standard deviation of split frequencies: 0.021902
151000 -- (-1619.795) (-1620.781) [-1609.865] (-1618.976) * (-1616.652) [-1611.822] (-1625.075) (-1614.889) -- 0:17:25
152000 -- [-1617.720] (-1628.448) (-1635.614) (-1627.785) * (-1606.726) (-1605.315) [-1609.297] (-1625.681) -- 0:17:23
153000 -- (-1622.465) (-1630.516) [-1610.949] (-1612.436) * [-1611.205] (-1620.058) (-1634.010) (-1612.401) -- 0:17:20
154000 -- (-1611.185) (-1632.048) [-1604.769] (-1609.595) * [-1605.492] (-1633.290) (-1628.385) (-1607.077) -- 0:17:18
155000 -- (-1608.552) (-1617.681) [-1607.097] (-1603.910) * [-1619.024] (-1616.687) (-1634.651) (-1619.931) -- 0:17:15
Average standard deviation of split frequencies: 0.022435
156000 -- (-1629.578) (-1636.799) (-1622.295) [-1612.040] * (-1617.115) (-1625.580) (-1624.005) [-1594.598] -- 0:17:13
157000 -- [-1629.786] (-1635.632) (-1610.149) (-1612.529) * (-1615.787) [-1610.253] (-1624.407) (-1615.511) -- 0:17:10
158000 -- (-1637.311) [-1618.305] (-1620.508) (-1611.651) * (-1630.253) (-1603.289) (-1620.695) [-1613.956] -- 0:17:08
159000 -- (-1627.322) [-1609.928] (-1614.843) (-1614.204) * (-1628.634) (-1616.736) (-1607.945) [-1612.857] -- 0:17:06
160000 -- (-1631.435) (-1617.406) (-1611.491) [-1615.278] * (-1631.883) (-1607.716) (-1613.563) [-1615.887] -- 0:17:03
Average standard deviation of split frequencies: 0.023106
161000 -- (-1622.446) (-1613.193) [-1616.087] (-1624.959) * [-1609.922] (-1628.647) (-1623.121) (-1621.765) -- 0:17:01
162000 -- [-1602.658] (-1634.170) (-1603.691) (-1625.618) * [-1615.717] (-1616.916) (-1634.463) (-1616.205) -- 0:16:59
163000 -- (-1615.005) (-1615.487) (-1605.018) [-1603.474] * [-1608.930] (-1614.767) (-1635.944) (-1635.599) -- 0:16:56
164000 -- (-1627.835) [-1610.570] (-1608.381) (-1618.939) * [-1605.514] (-1627.383) (-1626.415) (-1612.090) -- 0:16:54
165000 -- (-1621.452) (-1630.539) [-1612.475] (-1616.977) * (-1618.671) (-1616.707) [-1600.171] (-1627.842) -- 0:16:52
Average standard deviation of split frequencies: 0.021427
166000 -- [-1608.174] (-1622.728) (-1612.363) (-1624.176) * (-1617.231) (-1604.131) (-1607.288) [-1597.134] -- 0:16:54
167000 -- [-1604.184] (-1624.586) (-1617.865) (-1619.139) * (-1620.927) (-1611.252) [-1617.760] (-1618.560) -- 0:16:52
168000 -- (-1629.662) (-1623.165) (-1612.097) [-1623.540] * (-1606.538) (-1607.476) [-1597.345] (-1612.131) -- 0:16:50
169000 -- (-1627.944) [-1614.399] (-1615.263) (-1627.331) * (-1622.163) (-1621.843) [-1607.530] (-1637.993) -- 0:16:48
170000 -- (-1635.182) (-1623.093) (-1625.962) [-1623.255] * (-1625.638) (-1613.352) [-1612.434] (-1634.002) -- 0:16:45
Average standard deviation of split frequencies: 0.021427
171000 -- (-1615.510) (-1615.020) (-1615.040) [-1613.401] * [-1611.194] (-1617.668) (-1626.847) (-1604.958) -- 0:16:43
172000 -- (-1604.598) [-1597.723] (-1623.284) (-1646.649) * [-1616.912] (-1619.840) (-1640.808) (-1618.192) -- 0:16:41
173000 -- (-1612.808) [-1606.082] (-1623.407) (-1617.060) * [-1608.711] (-1608.314) (-1628.686) (-1623.466) -- 0:16:39
174000 -- [-1617.997] (-1614.241) (-1611.159) (-1619.597) * [-1609.990] (-1620.724) (-1621.457) (-1620.736) -- 0:16:36
175000 -- (-1613.310) [-1612.488] (-1604.581) (-1619.573) * [-1607.847] (-1630.778) (-1609.647) (-1620.635) -- 0:16:34
Average standard deviation of split frequencies: 0.021184
176000 -- [-1610.676] (-1612.628) (-1623.002) (-1611.154) * (-1613.863) (-1626.739) (-1609.170) [-1607.843] -- 0:16:32
177000 -- (-1617.447) [-1610.248] (-1631.212) (-1616.992) * (-1615.945) (-1639.448) (-1613.763) [-1602.572] -- 0:16:30
178000 -- (-1621.422) (-1615.811) (-1630.176) [-1627.241] * (-1599.007) (-1611.127) (-1621.685) [-1608.686] -- 0:16:32
179000 -- (-1617.862) [-1614.734] (-1613.667) (-1643.905) * (-1616.743) (-1622.692) (-1619.019) [-1604.912] -- 0:16:30
180000 -- [-1604.332] (-1614.702) (-1610.875) (-1616.356) * (-1602.907) (-1624.048) (-1627.914) [-1609.112] -- 0:16:33
Average standard deviation of split frequencies: 0.020083
181000 -- (-1609.744) (-1617.673) [-1610.950] (-1620.458) * (-1612.121) (-1629.149) (-1620.309) [-1609.433] -- 0:16:30
182000 -- (-1619.906) (-1631.246) [-1623.068] (-1626.397) * (-1628.116) (-1621.070) [-1613.717] (-1611.547) -- 0:16:33
183000 -- [-1614.056] (-1633.115) (-1613.541) (-1625.140) * (-1624.112) [-1603.922] (-1607.575) (-1620.646) -- 0:16:31
184000 -- (-1621.950) (-1641.156) [-1613.565] (-1619.066) * (-1631.591) (-1611.065) [-1606.285] (-1611.334) -- 0:16:33
185000 -- [-1610.301] (-1624.522) (-1612.481) (-1620.023) * (-1621.211) [-1609.276] (-1611.114) (-1625.200) -- 0:16:35
Average standard deviation of split frequencies: 0.019246
186000 -- [-1611.800] (-1614.481) (-1635.589) (-1606.547) * (-1630.356) (-1621.562) [-1603.469] (-1614.222) -- 0:16:33
187000 -- (-1607.772) [-1608.632] (-1634.939) (-1615.739) * (-1627.566) [-1601.482] (-1615.112) (-1608.662) -- 0:16:35
188000 -- (-1615.983) (-1626.682) [-1614.408] (-1626.975) * (-1626.392) [-1605.037] (-1628.816) (-1609.501) -- 0:16:33
189000 -- (-1624.385) (-1617.559) (-1622.060) [-1621.032] * [-1613.804] (-1606.808) (-1633.452) (-1613.644) -- 0:16:35
190000 -- [-1621.863] (-1623.495) (-1633.144) (-1612.829) * (-1606.807) (-1622.012) [-1612.748] (-1618.818) -- 0:16:33
Average standard deviation of split frequencies: 0.018852
191000 -- (-1617.078) [-1606.544] (-1625.273) (-1620.944) * (-1620.660) (-1634.149) [-1618.532] (-1627.917) -- 0:16:35
192000 -- (-1631.916) [-1603.870] (-1620.538) (-1621.898) * [-1607.093] (-1614.772) (-1612.844) (-1621.808) -- 0:16:33
193000 -- (-1641.002) [-1607.541] (-1626.439) (-1613.339) * (-1614.690) (-1612.455) [-1610.204] (-1625.446) -- 0:16:30
194000 -- (-1623.056) [-1611.753] (-1616.456) (-1611.281) * (-1621.094) [-1611.712] (-1640.342) (-1629.249) -- 0:16:28
195000 -- (-1634.130) [-1618.355] (-1617.411) (-1625.543) * (-1638.569) (-1608.160) [-1622.884] (-1626.145) -- 0:16:26
Average standard deviation of split frequencies: 0.018189
196000 -- (-1617.564) (-1625.598) (-1624.158) [-1611.263] * (-1611.009) (-1604.647) [-1608.924] (-1627.012) -- 0:16:24
197000 -- (-1623.813) (-1616.560) (-1622.950) [-1612.435] * [-1613.511] (-1619.731) (-1617.715) (-1631.072) -- 0:16:22
198000 -- [-1611.364] (-1603.900) (-1621.525) (-1607.454) * [-1612.506] (-1624.459) (-1623.176) (-1625.377) -- 0:16:20
199000 -- [-1611.521] (-1609.031) (-1631.540) (-1622.837) * (-1617.361) [-1601.534] (-1614.429) (-1620.550) -- 0:16:18
200000 -- (-1604.152) (-1609.399) (-1624.007) [-1608.478] * (-1626.667) [-1599.972] (-1616.266) (-1610.165) -- 0:16:16
Average standard deviation of split frequencies: 0.017766
201000 -- [-1605.248] (-1610.162) (-1623.143) (-1612.577) * (-1618.907) (-1611.942) (-1615.053) [-1607.979] -- 0:16:17
202000 -- (-1613.664) (-1611.723) (-1626.204) [-1615.398] * (-1615.586) [-1613.845] (-1620.804) (-1611.622) -- 0:16:15
203000 -- [-1620.700] (-1628.104) (-1616.566) (-1616.807) * [-1606.283] (-1619.061) (-1627.467) (-1613.505) -- 0:16:17
204000 -- (-1613.602) (-1616.818) (-1609.531) [-1604.527] * (-1605.516) [-1593.618] (-1614.900) (-1608.720) -- 0:16:19
205000 -- (-1608.680) (-1622.634) [-1612.665] (-1626.264) * [-1607.642] (-1619.619) (-1637.381) (-1616.245) -- 0:16:17
Average standard deviation of split frequencies: 0.018446
206000 -- (-1628.461) (-1602.493) (-1627.368) [-1623.751] * [-1616.198] (-1628.435) (-1619.912) (-1628.203) -- 0:16:19
207000 -- (-1638.147) (-1606.533) [-1614.934] (-1630.086) * (-1615.048) [-1626.670] (-1630.828) (-1617.537) -- 0:16:16
208000 -- (-1630.030) (-1609.163) (-1602.472) [-1615.690] * (-1625.855) [-1606.998] (-1616.455) (-1642.639) -- 0:16:18
209000 -- (-1623.605) (-1621.222) [-1599.965] (-1629.119) * (-1620.449) (-1635.166) (-1610.977) [-1610.653] -- 0:16:16
210000 -- (-1626.694) (-1609.298) (-1622.949) [-1605.762] * (-1619.524) (-1616.962) [-1609.953] (-1614.326) -- 0:16:18
Average standard deviation of split frequencies: 0.016681
211000 -- (-1635.664) (-1613.736) (-1625.834) [-1609.306] * [-1606.667] (-1620.830) (-1614.380) (-1629.365) -- 0:16:15
212000 -- (-1620.316) (-1622.540) [-1602.726] (-1617.779) * (-1612.566) (-1618.261) [-1600.797] (-1643.023) -- 0:16:17
213000 -- (-1628.026) (-1619.872) (-1603.042) [-1600.817] * (-1620.235) (-1612.114) [-1599.769] (-1643.082) -- 0:16:19
214000 -- (-1636.396) (-1610.559) (-1604.883) [-1611.016] * (-1633.345) [-1612.320] (-1602.878) (-1632.428) -- 0:16:16
215000 -- [-1615.023] (-1617.450) (-1620.119) (-1603.620) * (-1637.508) [-1612.933] (-1614.129) (-1612.358) -- 0:16:18
Average standard deviation of split frequencies: 0.016818
216000 -- (-1622.972) (-1630.535) (-1606.729) [-1605.198] * (-1636.377) (-1635.240) (-1603.159) [-1606.628] -- 0:16:16
217000 -- (-1639.366) (-1620.205) (-1629.764) [-1606.707] * (-1625.275) (-1621.474) (-1606.119) [-1611.760] -- 0:16:17
218000 -- (-1621.742) (-1609.978) (-1616.754) [-1622.348] * (-1617.108) (-1617.552) [-1596.292] (-1619.076) -- 0:16:19
219000 -- (-1607.150) (-1626.602) (-1624.817) [-1608.540] * (-1611.353) (-1625.563) [-1600.920] (-1615.913) -- 0:16:17
220000 -- (-1607.247) (-1616.543) [-1620.710] (-1629.113) * (-1613.547) (-1618.831) [-1605.989] (-1614.779) -- 0:16:18
Average standard deviation of split frequencies: 0.016637
221000 -- (-1607.246) (-1624.245) [-1605.607] (-1618.012) * [-1611.580] (-1618.722) (-1621.299) (-1625.171) -- 0:16:16
222000 -- [-1607.808] (-1623.280) (-1605.779) (-1628.043) * (-1631.524) [-1605.812] (-1616.887) (-1612.623) -- 0:16:17
223000 -- (-1618.310) [-1604.794] (-1616.882) (-1614.377) * (-1607.818) (-1615.768) (-1614.004) [-1599.753] -- 0:16:19
224000 -- (-1618.790) [-1596.586] (-1606.839) (-1621.615) * [-1599.704] (-1622.333) (-1614.717) (-1627.259) -- 0:16:16
225000 -- (-1617.290) [-1595.888] (-1620.057) (-1617.980) * [-1609.748] (-1618.339) (-1620.953) (-1606.302) -- 0:16:18
Average standard deviation of split frequencies: 0.016441
226000 -- (-1608.209) [-1600.415] (-1606.434) (-1628.737) * [-1606.139] (-1627.516) (-1610.595) (-1616.469) -- 0:16:16
227000 -- (-1627.143) [-1605.991] (-1615.092) (-1617.493) * (-1625.309) [-1627.319] (-1618.061) (-1616.744) -- 0:16:17
228000 -- (-1637.546) (-1616.359) [-1608.531] (-1623.463) * (-1628.671) (-1616.190) [-1614.105] (-1622.141) -- 0:16:18
229000 -- [-1622.328] (-1609.610) (-1625.478) (-1614.771) * [-1600.230] (-1632.344) (-1611.264) (-1626.587) -- 0:16:16
230000 -- (-1618.052) (-1618.822) [-1604.767] (-1620.555) * [-1606.274] (-1613.244) (-1623.763) (-1623.036) -- 0:16:17
Average standard deviation of split frequencies: 0.016541
231000 -- [-1599.223] (-1613.612) (-1627.040) (-1610.286) * (-1639.015) (-1607.523) (-1615.598) [-1618.065] -- 0:16:15
232000 -- (-1606.731) [-1612.323] (-1617.837) (-1622.821) * (-1623.692) (-1617.016) [-1609.650] (-1614.574) -- 0:16:16
233000 -- [-1620.614] (-1605.536) (-1622.113) (-1602.534) * (-1640.497) (-1617.799) [-1610.567] (-1620.280) -- 0:16:17
234000 -- (-1623.150) (-1636.427) (-1632.932) [-1601.555] * (-1623.149) [-1599.069] (-1625.950) (-1639.246) -- 0:16:15
235000 -- (-1615.473) (-1621.770) [-1606.852] (-1624.923) * [-1602.684] (-1604.662) (-1627.701) (-1639.510) -- 0:16:16
Average standard deviation of split frequencies: 0.015793
236000 -- [-1613.770] (-1626.099) (-1615.550) (-1621.751) * [-1605.009] (-1631.095) (-1621.071) (-1646.259) -- 0:16:17
237000 -- [-1607.034] (-1625.804) (-1623.181) (-1618.226) * [-1600.795] (-1611.576) (-1629.430) (-1613.848) -- 0:16:15
238000 -- (-1608.871) (-1616.981) [-1615.096] (-1635.909) * (-1617.095) [-1607.339] (-1635.919) (-1612.531) -- 0:16:16
239000 -- (-1619.344) [-1617.193] (-1626.552) (-1630.934) * [-1604.469] (-1621.756) (-1629.490) (-1624.763) -- 0:16:14
240000 -- (-1623.304) [-1608.552] (-1612.840) (-1637.480) * [-1617.928] (-1638.733) (-1618.572) (-1628.866) -- 0:16:15
Average standard deviation of split frequencies: 0.015303
241000 -- (-1624.183) (-1633.699) [-1605.928] (-1616.199) * [-1609.613] (-1634.864) (-1602.901) (-1634.582) -- 0:16:13
242000 -- (-1616.993) [-1615.094] (-1624.318) (-1616.377) * (-1625.656) (-1621.478) [-1602.654] (-1616.651) -- 0:16:10
243000 -- (-1617.102) [-1626.011] (-1621.883) (-1611.814) * (-1620.114) [-1614.387] (-1616.078) (-1617.951) -- 0:16:08
244000 -- (-1616.854) (-1623.037) (-1618.779) [-1602.869] * [-1623.393] (-1625.508) (-1626.744) (-1621.352) -- 0:16:06
245000 -- (-1615.464) (-1621.735) (-1625.144) [-1615.052] * (-1622.793) (-1624.396) [-1615.754] (-1628.904) -- 0:16:04
Average standard deviation of split frequencies: 0.015853
246000 -- (-1622.831) [-1615.035] (-1626.202) (-1614.865) * (-1610.369) (-1632.760) [-1613.878] (-1619.279) -- 0:16:02
247000 -- (-1617.977) (-1614.491) (-1616.436) [-1607.868] * (-1607.469) (-1620.276) (-1607.434) [-1604.164] -- 0:16:00
248000 -- (-1614.151) [-1618.965] (-1631.549) (-1612.068) * [-1610.997] (-1613.302) (-1623.067) (-1614.251) -- 0:15:58
249000 -- (-1624.991) (-1622.446) (-1626.977) [-1614.550] * (-1608.522) (-1613.259) (-1619.194) [-1608.326] -- 0:15:56
250000 -- (-1617.868) (-1627.783) [-1604.775] (-1636.095) * [-1601.084] (-1612.751) (-1633.158) (-1626.996) -- 0:15:53
Average standard deviation of split frequencies: 0.016632
251000 -- (-1616.666) (-1617.404) [-1616.789] (-1630.541) * [-1600.309] (-1619.315) (-1628.259) (-1610.710) -- 0:15:51
252000 -- (-1630.335) (-1617.570) (-1629.546) [-1628.117] * [-1614.605] (-1622.738) (-1612.391) (-1625.200) -- 0:15:49
253000 -- [-1625.782] (-1635.268) (-1623.696) (-1629.730) * (-1610.669) (-1623.720) (-1623.029) [-1607.013] -- 0:15:47
254000 -- (-1610.852) [-1609.585] (-1608.396) (-1638.365) * (-1611.478) [-1605.841] (-1635.885) (-1610.434) -- 0:15:45
255000 -- (-1632.337) [-1620.114] (-1613.777) (-1625.985) * (-1621.278) (-1625.079) (-1612.580) [-1610.044] -- 0:15:43
Average standard deviation of split frequencies: 0.017091
256000 -- (-1622.102) (-1612.900) [-1617.861] (-1627.071) * (-1625.070) (-1619.033) (-1612.794) [-1609.870] -- 0:15:41
257000 -- (-1615.091) (-1603.481) [-1601.319] (-1617.532) * (-1624.050) [-1612.187] (-1605.358) (-1616.495) -- 0:15:39
258000 -- (-1616.532) [-1615.778] (-1602.183) (-1626.485) * [-1602.086] (-1629.840) (-1602.560) (-1610.123) -- 0:15:37
259000 -- (-1616.145) (-1623.660) (-1632.484) [-1612.410] * (-1604.182) (-1612.443) [-1610.224] (-1603.875) -- 0:15:35
260000 -- [-1617.365] (-1628.549) (-1639.305) (-1623.354) * (-1613.305) (-1614.457) (-1611.999) [-1616.436] -- 0:15:33
Average standard deviation of split frequencies: 0.016785
261000 -- [-1607.285] (-1606.141) (-1626.072) (-1608.841) * (-1611.374) (-1606.317) (-1610.929) [-1610.475] -- 0:15:31
262000 -- (-1624.762) (-1617.796) (-1642.521) [-1601.918] * (-1622.349) [-1607.308] (-1626.647) (-1608.307) -- 0:15:29
263000 -- (-1611.248) (-1628.615) (-1630.508) [-1624.065] * (-1621.997) (-1622.329) (-1617.086) [-1617.734] -- 0:15:27
264000 -- (-1621.250) (-1621.444) (-1636.385) [-1604.772] * (-1620.491) [-1602.980] (-1617.293) (-1624.375) -- 0:15:25
265000 -- (-1620.227) (-1613.410) (-1645.350) [-1618.897] * (-1604.700) (-1615.781) [-1601.085] (-1627.036) -- 0:15:23
Average standard deviation of split frequencies: 0.016702
266000 -- [-1607.883] (-1619.280) (-1657.458) (-1621.462) * [-1611.357] (-1640.775) (-1612.920) (-1614.315) -- 0:15:21
267000 -- [-1607.786] (-1611.668) (-1654.326) (-1618.819) * (-1624.497) (-1606.570) (-1617.874) [-1604.865] -- 0:15:19
268000 -- (-1615.190) (-1609.547) (-1633.655) [-1603.903] * (-1618.955) (-1620.264) (-1629.696) [-1612.929] -- 0:15:17
269000 -- (-1632.333) (-1626.570) (-1622.281) [-1609.776] * (-1631.028) [-1613.597] (-1619.903) (-1611.844) -- 0:15:15
270000 -- (-1617.277) (-1607.325) [-1603.577] (-1606.492) * (-1632.299) [-1602.924] (-1642.049) (-1618.331) -- 0:15:13
Average standard deviation of split frequencies: 0.017258
271000 -- (-1615.302) [-1617.603] (-1616.129) (-1608.884) * (-1617.351) [-1603.236] (-1626.237) (-1616.350) -- 0:15:11
272000 -- (-1618.191) (-1621.759) [-1622.637] (-1615.209) * (-1616.893) (-1629.769) [-1619.270] (-1615.362) -- 0:15:10
273000 -- (-1608.343) [-1610.461] (-1619.884) (-1626.609) * (-1629.425) (-1634.109) [-1616.811] (-1624.192) -- 0:15:08
274000 -- [-1607.098] (-1610.865) (-1618.307) (-1627.483) * [-1596.077] (-1618.320) (-1622.934) (-1630.832) -- 0:15:06
275000 -- (-1623.324) (-1611.523) [-1615.544] (-1617.932) * (-1599.846) (-1613.180) [-1618.384] (-1634.772) -- 0:15:04
Average standard deviation of split frequencies: 0.016821
276000 -- (-1622.886) [-1602.249] (-1615.150) (-1627.265) * (-1629.832) [-1611.232] (-1606.254) (-1623.243) -- 0:15:02
277000 -- (-1612.820) [-1612.650] (-1621.940) (-1612.009) * (-1627.108) [-1620.667] (-1616.566) (-1630.417) -- 0:15:00
278000 -- (-1619.934) (-1622.606) [-1614.484] (-1616.402) * (-1614.481) (-1612.165) [-1608.776] (-1628.279) -- 0:14:58
279000 -- (-1608.964) (-1605.812) [-1604.687] (-1626.791) * (-1626.263) (-1630.788) [-1600.204] (-1622.637) -- 0:14:56
280000 -- (-1624.141) [-1604.318] (-1612.775) (-1627.070) * (-1629.063) [-1606.037] (-1612.050) (-1625.468) -- 0:14:54
Average standard deviation of split frequencies: 0.015574
281000 -- [-1612.027] (-1608.908) (-1621.767) (-1619.648) * [-1618.182] (-1605.768) (-1618.867) (-1623.365) -- 0:14:52
282000 -- [-1615.432] (-1619.121) (-1620.057) (-1625.393) * (-1625.055) [-1611.619] (-1638.175) (-1611.013) -- 0:14:51
283000 -- (-1606.744) (-1626.201) [-1607.536] (-1625.530) * (-1626.462) (-1613.289) (-1626.968) [-1618.138] -- 0:14:49
284000 -- [-1612.188] (-1630.929) (-1608.569) (-1623.858) * [-1616.644] (-1612.852) (-1631.793) (-1619.590) -- 0:14:47
285000 -- (-1630.899) (-1623.827) (-1610.896) [-1614.594] * (-1614.446) (-1617.771) (-1618.205) [-1608.915] -- 0:14:45
Average standard deviation of split frequencies: 0.014635
286000 -- (-1615.781) (-1612.445) (-1613.276) [-1607.735] * (-1621.284) (-1614.432) [-1605.311] (-1617.651) -- 0:14:43
287000 -- [-1616.072] (-1608.699) (-1616.673) (-1635.834) * (-1621.229) (-1608.894) (-1613.252) [-1613.938] -- 0:14:41
288000 -- (-1616.294) (-1627.696) (-1609.366) [-1610.445] * (-1618.886) [-1619.694] (-1614.319) (-1628.327) -- 0:14:40
289000 -- (-1621.162) (-1619.737) [-1604.623] (-1601.447) * [-1620.445] (-1615.174) (-1612.019) (-1628.004) -- 0:14:40
290000 -- (-1622.233) [-1614.598] (-1616.810) (-1613.793) * [-1611.507] (-1622.317) (-1616.150) (-1605.514) -- 0:14:38
Average standard deviation of split frequencies: 0.013761
291000 -- (-1609.374) (-1619.228) [-1614.138] (-1622.033) * (-1624.635) (-1618.946) [-1625.062] (-1613.854) -- 0:14:37
292000 -- (-1622.900) (-1618.522) [-1598.045] (-1622.570) * [-1612.124] (-1638.699) (-1617.747) (-1631.549) -- 0:14:35
293000 -- (-1636.907) (-1608.959) (-1619.255) [-1601.385] * [-1608.622] (-1617.244) (-1619.927) (-1639.352) -- 0:14:33
294000 -- (-1619.392) (-1604.998) (-1622.576) [-1620.364] * [-1608.849] (-1625.133) (-1623.061) (-1618.836) -- 0:14:31
295000 -- (-1616.377) (-1623.256) (-1607.284) [-1616.678] * (-1614.956) [-1609.861] (-1633.194) (-1623.464) -- 0:14:29
Average standard deviation of split frequencies: 0.012982
296000 -- (-1614.390) [-1607.436] (-1629.655) (-1610.206) * (-1613.708) [-1600.080] (-1634.215) (-1621.286) -- 0:14:28
297000 -- (-1605.153) (-1620.081) [-1613.295] (-1616.667) * (-1621.567) [-1605.600] (-1621.059) (-1607.814) -- 0:14:26
298000 -- (-1608.669) (-1602.953) [-1616.705] (-1613.951) * [-1611.492] (-1606.182) (-1622.601) (-1621.382) -- 0:14:24
299000 -- [-1613.054] (-1610.535) (-1616.686) (-1625.767) * [-1609.857] (-1609.431) (-1621.736) (-1619.032) -- 0:14:22
300000 -- (-1612.814) (-1631.974) (-1626.368) [-1621.359] * (-1613.247) [-1600.127] (-1626.416) (-1610.098) -- 0:14:21
Average standard deviation of split frequencies: 0.012543
301000 -- (-1615.909) (-1612.242) [-1618.343] (-1618.405) * (-1621.706) (-1611.361) [-1619.726] (-1628.923) -- 0:14:19
302000 -- (-1606.188) (-1617.900) (-1618.659) [-1619.914] * (-1616.512) (-1627.338) (-1622.294) [-1608.309] -- 0:14:17
303000 -- [-1615.114] (-1608.612) (-1614.748) (-1612.418) * (-1629.893) (-1619.112) [-1614.611] (-1606.170) -- 0:14:18
304000 -- [-1608.224] (-1618.010) (-1612.359) (-1615.665) * (-1632.773) (-1628.461) [-1606.694] (-1618.828) -- 0:14:16
305000 -- (-1620.803) (-1628.735) (-1617.816) [-1602.765] * (-1632.454) (-1621.092) (-1626.024) [-1610.648] -- 0:14:14
Average standard deviation of split frequencies: 0.012884
306000 -- (-1631.682) (-1615.767) (-1615.014) [-1612.597] * (-1616.543) [-1610.098] (-1615.848) (-1628.701) -- 0:14:12
307000 -- [-1606.365] (-1610.717) (-1619.188) (-1620.947) * [-1617.558] (-1618.722) (-1614.482) (-1609.846) -- 0:14:11
308000 -- [-1618.493] (-1618.515) (-1607.474) (-1615.511) * (-1610.828) (-1622.396) [-1615.282] (-1617.389) -- 0:14:09
309000 -- [-1602.982] (-1622.445) (-1625.215) (-1627.243) * (-1606.502) (-1630.761) (-1614.834) [-1612.283] -- 0:14:07
310000 -- (-1617.569) [-1616.894] (-1622.755) (-1631.183) * (-1612.614) (-1644.712) [-1614.643] (-1632.905) -- 0:14:05
Average standard deviation of split frequencies: 0.011909
311000 -- (-1596.978) (-1619.488) [-1615.423] (-1629.722) * (-1615.909) (-1623.480) [-1613.160] (-1624.792) -- 0:14:04
312000 -- [-1608.643] (-1620.818) (-1633.767) (-1616.242) * [-1613.547] (-1623.003) (-1614.647) (-1626.139) -- 0:14:02
313000 -- (-1615.329) (-1608.310) (-1612.539) [-1598.496] * (-1615.307) (-1615.340) [-1615.999] (-1618.265) -- 0:14:00
314000 -- (-1626.572) (-1606.674) (-1607.722) [-1592.061] * (-1616.256) (-1614.887) [-1612.972] (-1617.901) -- 0:13:58
315000 -- (-1624.012) (-1626.922) [-1601.264] (-1606.969) * (-1623.702) (-1615.150) (-1605.277) [-1609.971] -- 0:13:57
Average standard deviation of split frequencies: 0.013290
316000 -- (-1626.561) (-1624.556) (-1606.706) [-1612.894] * [-1610.680] (-1615.641) (-1627.225) (-1610.632) -- 0:13:55
317000 -- (-1621.471) (-1620.282) [-1614.617] (-1625.770) * (-1626.747) [-1602.473] (-1628.504) (-1603.366) -- 0:13:53
318000 -- (-1628.087) [-1601.581] (-1620.723) (-1619.543) * [-1603.628] (-1611.757) (-1618.697) (-1632.409) -- 0:13:52
319000 -- (-1617.711) [-1606.559] (-1609.043) (-1625.297) * (-1606.252) (-1607.406) [-1616.342] (-1617.548) -- 0:13:50
320000 -- (-1611.046) [-1603.958] (-1632.236) (-1625.658) * (-1624.758) [-1608.222] (-1615.002) (-1623.968) -- 0:13:50
Average standard deviation of split frequencies: 0.013231
321000 -- (-1615.952) [-1604.275] (-1636.714) (-1631.005) * (-1621.187) (-1626.302) [-1611.004] (-1617.790) -- 0:13:51
322000 -- [-1611.048] (-1615.213) (-1616.899) (-1638.009) * (-1614.873) (-1621.759) [-1603.398] (-1622.563) -- 0:13:49
323000 -- (-1630.336) [-1609.665] (-1614.179) (-1618.639) * (-1606.030) (-1615.179) (-1612.942) [-1610.783] -- 0:13:50
324000 -- [-1625.196] (-1630.214) (-1608.644) (-1622.135) * (-1604.559) (-1620.834) [-1602.984] (-1628.615) -- 0:13:50
325000 -- (-1630.670) [-1608.054] (-1609.378) (-1625.038) * [-1604.268] (-1622.728) (-1617.839) (-1631.807) -- 0:13:48
Average standard deviation of split frequencies: 0.012532
326000 -- [-1613.812] (-1624.527) (-1617.192) (-1628.452) * [-1610.984] (-1626.931) (-1611.957) (-1638.244) -- 0:13:49
327000 -- [-1607.396] (-1619.149) (-1624.530) (-1631.005) * (-1619.102) [-1626.495] (-1613.306) (-1635.231) -- 0:13:47
328000 -- (-1634.962) (-1626.883) [-1611.442] (-1611.738) * (-1614.007) [-1611.194] (-1608.928) (-1612.038) -- 0:13:47
329000 -- (-1644.539) (-1633.592) (-1617.975) [-1607.666] * (-1623.376) [-1611.461] (-1612.967) (-1628.012) -- 0:13:48
330000 -- (-1626.868) (-1635.559) [-1617.053] (-1605.391) * (-1635.894) (-1625.804) [-1613.448] (-1615.811) -- 0:13:46
Average standard deviation of split frequencies: 0.011880
331000 -- (-1621.137) (-1625.189) (-1625.863) [-1609.474] * (-1624.969) (-1606.435) (-1620.779) [-1601.795] -- 0:13:46
332000 -- (-1613.846) (-1627.719) (-1624.473) [-1601.014] * (-1633.450) (-1619.441) [-1620.566] (-1626.023) -- 0:13:46
333000 -- (-1620.718) (-1617.332) [-1620.530] (-1622.971) * (-1611.429) (-1618.152) (-1623.611) [-1615.114] -- 0:13:45
334000 -- (-1621.424) (-1615.027) (-1644.869) [-1609.635] * (-1616.900) (-1617.723) (-1630.033) [-1605.249] -- 0:13:45
335000 -- (-1631.055) (-1631.739) (-1619.847) [-1605.091] * (-1621.336) (-1604.895) (-1639.368) [-1604.063] -- 0:13:45
Average standard deviation of split frequencies: 0.012244
336000 -- [-1609.097] (-1630.395) (-1617.657) (-1608.867) * (-1614.276) [-1606.741] (-1618.756) (-1621.460) -- 0:13:44
337000 -- (-1604.758) (-1617.886) [-1605.426] (-1614.757) * (-1614.329) [-1611.546] (-1616.366) (-1632.551) -- 0:13:44
338000 -- (-1627.985) (-1616.166) [-1610.548] (-1608.891) * (-1622.754) (-1609.552) [-1614.127] (-1614.742) -- 0:13:44
339000 -- (-1635.761) (-1622.630) (-1620.805) [-1605.174] * (-1626.780) [-1609.336] (-1620.484) (-1628.819) -- 0:13:42
340000 -- (-1628.738) (-1616.498) (-1618.747) [-1600.660] * (-1627.255) (-1614.578) (-1602.741) [-1612.444] -- 0:13:43
Average standard deviation of split frequencies: 0.012035
341000 -- (-1609.634) (-1612.744) (-1615.703) [-1613.491] * [-1603.503] (-1603.326) (-1625.834) (-1616.992) -- 0:13:43
342000 -- [-1606.402] (-1614.856) (-1615.939) (-1627.020) * (-1613.862) [-1609.753] (-1615.978) (-1632.002) -- 0:13:41
343000 -- (-1621.085) (-1599.254) (-1599.370) [-1606.031] * [-1612.207] (-1637.952) (-1615.475) (-1641.051) -- 0:13:41
344000 -- (-1622.555) (-1612.709) [-1604.405] (-1615.437) * [-1602.167] (-1614.991) (-1632.030) (-1654.708) -- 0:13:40
345000 -- (-1615.873) (-1623.460) (-1629.572) [-1616.764] * [-1608.451] (-1616.609) (-1607.637) (-1628.110) -- 0:13:38
Average standard deviation of split frequencies: 0.011808
346000 -- (-1614.483) [-1613.417] (-1639.183) (-1622.264) * [-1615.370] (-1620.034) (-1615.011) (-1621.965) -- 0:13:36
347000 -- [-1616.642] (-1627.495) (-1601.992) (-1647.256) * (-1621.969) (-1623.935) (-1606.984) [-1618.901] -- 0:13:34
348000 -- (-1628.081) (-1615.116) [-1608.530] (-1623.925) * (-1625.319) (-1628.060) (-1620.166) [-1606.185] -- 0:13:33
349000 -- (-1618.140) (-1614.006) [-1604.325] (-1631.535) * (-1615.908) [-1620.514] (-1618.424) (-1610.834) -- 0:13:33
350000 -- (-1629.015) [-1614.866] (-1615.529) (-1620.137) * (-1633.493) (-1625.658) (-1609.997) [-1614.272] -- 0:13:33
Average standard deviation of split frequencies: 0.012221
351000 -- [-1612.552] (-1612.934) (-1625.166) (-1614.752) * (-1608.958) (-1624.281) (-1628.159) [-1608.817] -- 0:13:31
352000 -- [-1605.877] (-1625.077) (-1617.041) (-1613.923) * [-1608.119] (-1608.810) (-1626.249) (-1617.199) -- 0:13:31
353000 -- (-1616.809) (-1640.148) (-1625.565) [-1613.708] * (-1636.919) (-1623.743) (-1628.213) [-1614.197] -- 0:13:31
354000 -- (-1623.148) [-1613.940] (-1608.232) (-1610.807) * (-1625.102) (-1627.747) (-1618.544) [-1616.940] -- 0:13:30
355000 -- (-1626.425) [-1615.325] (-1617.115) (-1612.422) * (-1608.871) (-1626.331) [-1607.523] (-1621.672) -- 0:13:30
Average standard deviation of split frequencies: 0.012399
356000 -- (-1629.451) (-1614.772) (-1614.499) [-1608.706] * (-1610.925) (-1641.250) (-1624.633) [-1599.337] -- 0:13:30
357000 -- (-1614.113) (-1627.844) [-1606.032] (-1624.847) * [-1597.408] (-1605.767) (-1611.856) (-1617.132) -- 0:13:28
358000 -- (-1613.836) (-1622.273) [-1606.359] (-1609.080) * (-1623.450) (-1624.282) [-1611.422] (-1621.194) -- 0:13:28
359000 -- (-1624.568) (-1620.686) [-1611.129] (-1631.455) * (-1620.092) [-1605.717] (-1606.999) (-1612.597) -- 0:13:28
360000 -- [-1613.953] (-1631.564) (-1615.544) (-1633.621) * (-1625.575) (-1621.927) (-1613.453) [-1614.906] -- 0:13:27
Average standard deviation of split frequencies: 0.012793
361000 -- [-1604.540] (-1621.996) (-1621.292) (-1630.851) * (-1620.478) (-1629.313) [-1608.509] (-1605.485) -- 0:13:27
362000 -- (-1624.336) (-1652.471) [-1602.386] (-1609.038) * (-1629.774) (-1627.157) (-1614.314) [-1601.111] -- 0:13:27
363000 -- (-1624.285) (-1617.767) (-1624.721) [-1612.675] * (-1627.396) (-1609.375) (-1612.975) [-1614.279] -- 0:13:25
364000 -- (-1630.807) [-1602.077] (-1626.744) (-1611.626) * [-1600.862] (-1618.870) (-1610.480) (-1618.637) -- 0:13:23
365000 -- (-1611.470) [-1607.969] (-1612.969) (-1610.268) * (-1621.855) [-1607.932] (-1619.719) (-1616.768) -- 0:13:23
Average standard deviation of split frequencies: 0.012724
366000 -- (-1615.056) (-1613.850) (-1628.937) [-1613.093] * (-1626.238) [-1610.305] (-1612.945) (-1620.625) -- 0:13:22
367000 -- (-1625.637) [-1613.254] (-1614.939) (-1622.677) * (-1634.133) [-1604.533] (-1613.878) (-1617.653) -- 0:13:20
368000 -- (-1619.283) [-1605.526] (-1609.296) (-1613.560) * (-1621.246) (-1616.514) (-1616.244) [-1614.936] -- 0:13:18
369000 -- (-1614.023) (-1613.876) (-1612.024) [-1606.299] * (-1616.629) [-1618.900] (-1621.013) (-1604.857) -- 0:13:16
370000 -- (-1627.229) (-1631.067) (-1612.832) [-1607.739] * (-1620.756) (-1620.471) (-1612.354) [-1606.294] -- 0:13:15
Average standard deviation of split frequencies: 0.013620
371000 -- (-1620.038) (-1622.006) (-1616.067) [-1618.585] * (-1626.333) (-1633.117) (-1624.864) [-1606.139] -- 0:13:13
372000 -- (-1627.216) (-1627.214) (-1636.421) [-1605.819] * (-1625.818) [-1609.772] (-1619.312) (-1624.851) -- 0:13:11
373000 -- [-1612.421] (-1629.222) (-1631.299) (-1624.134) * [-1611.911] (-1609.996) (-1617.855) (-1624.568) -- 0:13:11
374000 -- (-1598.439) (-1640.848) (-1623.991) [-1628.353] * [-1605.945] (-1609.939) (-1609.491) (-1617.240) -- 0:13:10
375000 -- [-1609.043] (-1620.703) (-1617.725) (-1623.686) * (-1611.594) (-1630.987) [-1600.035] (-1625.780) -- 0:13:08
Average standard deviation of split frequencies: 0.013791
376000 -- (-1619.223) [-1601.393] (-1605.700) (-1627.484) * (-1609.029) (-1619.939) [-1602.500] (-1626.644) -- 0:13:06
377000 -- (-1618.418) [-1611.044] (-1617.635) (-1613.731) * [-1608.687] (-1627.898) (-1612.430) (-1624.642) -- 0:13:04
378000 -- (-1616.482) (-1622.693) (-1624.702) [-1617.169] * (-1609.238) (-1620.364) (-1610.614) [-1610.586] -- 0:13:03
379000 -- (-1624.436) (-1619.171) [-1603.794] (-1621.693) * (-1612.739) (-1612.701) (-1619.646) [-1607.501] -- 0:13:01
380000 -- [-1607.111] (-1629.542) (-1619.798) (-1617.648) * [-1617.783] (-1616.473) (-1631.574) (-1609.427) -- 0:12:59
Average standard deviation of split frequencies: 0.013127
381000 -- [-1613.843] (-1622.852) (-1610.754) (-1626.158) * (-1623.298) (-1624.746) (-1624.849) [-1602.132] -- 0:12:58
382000 -- (-1623.942) [-1601.185] (-1624.923) (-1618.968) * [-1611.091] (-1624.087) (-1612.251) (-1602.754) -- 0:12:56
383000 -- (-1635.362) [-1599.396] (-1613.616) (-1607.774) * (-1621.391) [-1621.832] (-1614.122) (-1620.155) -- 0:12:54
384000 -- (-1618.660) (-1607.403) (-1618.487) [-1599.976] * [-1607.135] (-1605.020) (-1622.326) (-1617.726) -- 0:12:53
385000 -- (-1614.470) [-1609.647] (-1618.665) (-1620.925) * (-1613.163) (-1623.566) (-1621.679) [-1600.371] -- 0:12:53
Average standard deviation of split frequencies: 0.012725
386000 -- (-1614.264) [-1606.950] (-1625.097) (-1618.243) * (-1633.906) [-1608.241] (-1629.038) (-1611.107) -- 0:12:51
387000 -- (-1613.965) (-1615.814) (-1632.385) [-1630.887] * (-1617.232) [-1614.045] (-1635.688) (-1634.794) -- 0:12:51
388000 -- (-1611.318) (-1618.897) [-1615.068] (-1630.300) * (-1627.064) [-1604.847] (-1646.579) (-1622.895) -- 0:12:49
389000 -- [-1627.456] (-1614.484) (-1615.896) (-1620.732) * (-1636.897) (-1616.653) (-1621.548) [-1620.332] -- 0:12:48
390000 -- (-1615.082) (-1609.317) (-1614.355) [-1614.975] * (-1630.398) [-1616.649] (-1621.509) (-1631.502) -- 0:12:46
Average standard deviation of split frequencies: 0.012767
391000 -- (-1622.931) (-1619.016) (-1612.467) [-1606.697] * (-1623.651) (-1631.670) [-1623.465] (-1620.866) -- 0:12:46
392000 -- [-1615.948] (-1635.230) (-1615.370) (-1607.420) * (-1625.103) (-1618.302) [-1614.851] (-1618.811) -- 0:12:44
393000 -- (-1627.023) (-1620.809) (-1614.028) [-1613.822] * [-1619.066] (-1618.219) (-1610.515) (-1607.060) -- 0:12:44
394000 -- (-1635.743) [-1612.539] (-1620.098) (-1610.101) * (-1612.782) (-1622.111) [-1609.560] (-1624.485) -- 0:12:44
395000 -- (-1620.486) [-1611.910] (-1636.629) (-1618.989) * (-1617.412) (-1610.523) [-1603.302] (-1625.465) -- 0:12:42
Average standard deviation of split frequencies: 0.012480
396000 -- [-1608.560] (-1616.113) (-1626.404) (-1613.584) * (-1623.234) (-1605.572) (-1623.684) [-1632.105] -- 0:12:41
397000 -- [-1610.182] (-1613.497) (-1616.935) (-1623.568) * (-1618.398) (-1616.565) [-1615.679] (-1626.073) -- 0:12:39
398000 -- [-1600.036] (-1632.174) (-1622.602) (-1607.015) * (-1609.063) [-1614.326] (-1610.218) (-1627.161) -- 0:12:37
399000 -- [-1609.031] (-1632.680) (-1617.113) (-1607.117) * [-1613.255] (-1616.291) (-1625.850) (-1613.553) -- 0:12:37
400000 -- (-1606.569) (-1622.864) (-1621.775) [-1610.944] * [-1600.465] (-1602.846) (-1621.997) (-1629.667) -- 0:12:36
Average standard deviation of split frequencies: 0.012280
401000 -- [-1606.610] (-1622.797) (-1630.717) (-1616.926) * [-1605.216] (-1614.989) (-1637.162) (-1617.287) -- 0:12:34
402000 -- (-1617.519) (-1628.661) (-1608.619) [-1603.662] * [-1603.713] (-1624.487) (-1626.000) (-1613.327) -- 0:12:32
403000 -- (-1628.780) [-1610.041] (-1621.864) (-1632.483) * [-1617.132] (-1628.364) (-1616.626) (-1614.762) -- 0:12:32
404000 -- (-1612.654) (-1612.108) (-1614.480) [-1619.225] * (-1620.359) (-1621.472) (-1611.512) [-1607.988] -- 0:12:32
405000 -- (-1607.800) [-1609.340] (-1622.580) (-1613.735) * (-1619.686) (-1621.211) (-1600.669) [-1597.389] -- 0:12:30
Average standard deviation of split frequencies: 0.012210
406000 -- (-1618.225) [-1605.166] (-1617.933) (-1645.496) * (-1626.538) (-1620.435) (-1621.226) [-1615.430] -- 0:12:29
407000 -- (-1606.800) [-1608.308] (-1628.207) (-1620.634) * [-1613.931] (-1645.665) (-1619.673) (-1622.136) -- 0:12:27
408000 -- (-1601.790) (-1600.499) [-1628.175] (-1624.163) * [-1610.529] (-1617.448) (-1619.733) (-1622.772) -- 0:12:25
409000 -- [-1603.825] (-1620.686) (-1621.305) (-1642.582) * (-1608.901) [-1608.412] (-1635.073) (-1608.480) -- 0:12:24
410000 -- (-1608.775) [-1614.835] (-1623.535) (-1642.665) * (-1615.872) [-1609.059] (-1628.255) (-1625.572) -- 0:12:22
Average standard deviation of split frequencies: 0.012257
411000 -- (-1623.087) [-1610.257] (-1614.146) (-1619.874) * [-1613.895] (-1609.784) (-1639.382) (-1614.956) -- 0:12:20
412000 -- (-1620.335) [-1613.849] (-1613.696) (-1615.301) * (-1625.140) [-1611.075] (-1635.326) (-1610.931) -- 0:12:19
413000 -- (-1622.175) [-1605.805] (-1615.896) (-1612.774) * [-1617.420] (-1618.673) (-1625.713) (-1608.123) -- 0:12:17
414000 -- (-1629.357) (-1611.351) (-1605.740) [-1606.347] * (-1639.202) (-1615.228) (-1614.109) [-1606.171] -- 0:12:17
415000 -- (-1629.167) [-1606.386] (-1618.797) (-1618.935) * (-1621.261) [-1616.977] (-1632.025) (-1610.064) -- 0:12:15
Average standard deviation of split frequencies: 0.012063
416000 -- [-1613.162] (-1612.371) (-1635.863) (-1627.454) * (-1596.977) [-1603.448] (-1620.790) (-1619.968) -- 0:12:14
417000 -- (-1611.541) (-1624.279) (-1638.223) [-1623.043] * (-1616.747) (-1611.196) [-1605.891] (-1624.137) -- 0:12:12
418000 -- [-1608.589] (-1635.268) (-1641.701) (-1623.819) * (-1617.642) (-1617.035) [-1612.302] (-1617.083) -- 0:12:10
419000 -- (-1607.928) (-1624.572) (-1622.219) [-1622.376] * (-1622.306) (-1623.060) [-1600.046] (-1617.563) -- 0:12:09
420000 -- (-1614.594) (-1620.371) [-1612.462] (-1623.445) * (-1627.977) (-1616.727) [-1617.060] (-1625.637) -- 0:12:07
Average standard deviation of split frequencies: 0.011893
421000 -- (-1618.987) (-1614.404) (-1622.426) [-1611.437] * (-1635.411) [-1623.499] (-1612.497) (-1620.929) -- 0:12:06
422000 -- (-1616.512) [-1614.090] (-1628.116) (-1615.397) * (-1622.719) [-1618.651] (-1623.401) (-1626.826) -- 0:12:04
423000 -- (-1610.147) (-1626.559) (-1615.343) [-1611.053] * (-1620.606) [-1597.805] (-1619.331) (-1605.180) -- 0:12:02
424000 -- (-1602.571) [-1614.501] (-1634.718) (-1615.853) * (-1629.470) [-1604.616] (-1617.376) (-1612.888) -- 0:12:01
425000 -- (-1608.818) (-1615.306) [-1609.679] (-1627.010) * (-1632.198) [-1604.317] (-1624.280) (-1636.500) -- 0:11:59
Average standard deviation of split frequencies: 0.011923
426000 -- (-1611.630) (-1627.301) [-1608.666] (-1624.102) * (-1642.364) [-1609.884] (-1620.853) (-1617.247) -- 0:11:58
427000 -- (-1624.066) (-1624.443) [-1611.642] (-1611.081) * (-1630.317) (-1625.046) (-1639.625) [-1612.146] -- 0:11:56
428000 -- (-1627.378) [-1625.057] (-1629.941) (-1614.270) * (-1624.822) [-1618.182] (-1643.200) (-1628.328) -- 0:11:55
429000 -- (-1610.607) (-1609.767) (-1616.633) [-1601.881] * (-1613.784) [-1610.680] (-1620.021) (-1614.892) -- 0:11:53
430000 -- [-1614.763] (-1625.879) (-1621.384) (-1611.591) * [-1603.932] (-1620.189) (-1619.270) (-1620.793) -- 0:11:51
Average standard deviation of split frequencies: 0.012358
431000 -- [-1620.501] (-1637.342) (-1622.640) (-1606.743) * (-1605.641) (-1637.049) [-1601.788] (-1615.944) -- 0:11:50
432000 -- (-1620.665) (-1622.437) (-1627.243) [-1613.744] * (-1608.924) (-1638.990) [-1613.370] (-1626.522) -- 0:11:48
433000 -- (-1610.528) (-1613.703) (-1633.541) [-1601.388] * (-1610.205) (-1634.372) [-1606.591] (-1626.937) -- 0:11:47
434000 -- [-1598.022] (-1612.202) (-1624.420) (-1605.291) * (-1604.243) (-1633.645) [-1605.981] (-1613.949) -- 0:11:45
435000 -- (-1613.221) [-1612.608] (-1612.677) (-1616.794) * [-1594.654] (-1623.897) (-1611.338) (-1624.583) -- 0:11:43
Average standard deviation of split frequencies: 0.012722
436000 -- (-1626.386) [-1608.208] (-1643.235) (-1628.051) * (-1614.030) [-1608.353] (-1629.874) (-1632.654) -- 0:11:43
437000 -- (-1607.011) (-1621.083) (-1633.207) [-1609.654] * [-1615.418] (-1602.661) (-1624.429) (-1642.940) -- 0:11:42
438000 -- (-1612.984) (-1625.336) (-1633.892) [-1601.105] * (-1622.417) (-1609.306) [-1613.433] (-1617.476) -- 0:11:40
439000 -- (-1620.981) (-1636.923) (-1626.900) [-1612.811] * (-1630.623) [-1616.517] (-1601.409) (-1599.791) -- 0:11:39
440000 -- [-1606.796] (-1610.017) (-1613.654) (-1630.018) * [-1615.614] (-1637.499) (-1611.781) (-1620.288) -- 0:11:37
Average standard deviation of split frequencies: 0.012659
441000 -- (-1607.921) (-1625.263) (-1614.890) [-1603.970] * (-1629.908) (-1611.687) (-1612.175) [-1614.321] -- 0:11:35
442000 -- [-1611.770] (-1639.549) (-1610.609) (-1612.312) * (-1635.597) (-1623.262) [-1606.515] (-1622.419) -- 0:11:34
443000 -- [-1619.529] (-1649.411) (-1625.890) (-1614.373) * (-1628.894) (-1621.587) [-1597.066] (-1606.777) -- 0:11:32
444000 -- (-1610.600) (-1633.552) (-1617.898) [-1606.862] * (-1619.757) (-1615.084) [-1602.345] (-1620.786) -- 0:11:31
445000 -- [-1607.888] (-1624.490) (-1617.010) (-1611.707) * (-1651.784) (-1626.189) [-1600.433] (-1611.830) -- 0:11:29
Average standard deviation of split frequencies: 0.012684
446000 -- (-1613.829) [-1602.224] (-1626.067) (-1610.819) * (-1641.416) (-1638.787) (-1604.773) [-1624.521] -- 0:11:28
447000 -- (-1607.570) [-1621.162] (-1629.404) (-1603.614) * [-1631.268] (-1633.422) (-1609.044) (-1621.099) -- 0:11:26
448000 -- (-1618.330) [-1607.407] (-1642.756) (-1605.726) * (-1620.417) [-1611.791] (-1624.799) (-1638.793) -- 0:11:25
449000 -- [-1608.780] (-1618.569) (-1629.250) (-1608.180) * [-1617.223] (-1625.881) (-1630.661) (-1612.542) -- 0:11:23
450000 -- (-1621.790) (-1606.981) [-1626.179] (-1624.852) * (-1639.441) (-1616.170) (-1618.511) [-1611.221] -- 0:11:22
Average standard deviation of split frequencies: 0.012448
451000 -- (-1634.112) [-1606.324] (-1618.592) (-1626.385) * (-1619.961) (-1605.097) (-1614.944) [-1607.884] -- 0:11:20
452000 -- (-1609.988) [-1611.244] (-1624.941) (-1620.353) * (-1613.488) (-1616.697) [-1613.828] (-1623.051) -- 0:11:18
453000 -- (-1614.584) [-1629.742] (-1622.182) (-1624.371) * (-1611.142) [-1615.807] (-1624.197) (-1616.142) -- 0:11:17
454000 -- (-1623.110) (-1616.724) [-1609.549] (-1630.965) * [-1610.884] (-1612.344) (-1617.414) (-1609.494) -- 0:11:15
455000 -- [-1604.069] (-1621.716) (-1614.561) (-1633.397) * (-1618.427) [-1617.127] (-1636.776) (-1606.222) -- 0:11:14
Average standard deviation of split frequencies: 0.012509
456000 -- (-1618.610) (-1605.255) (-1629.610) [-1613.856] * (-1637.145) (-1614.709) [-1611.658] (-1613.417) -- 0:11:12
457000 -- (-1615.519) (-1606.187) (-1615.128) [-1616.156] * (-1617.114) (-1608.534) [-1618.126] (-1634.268) -- 0:11:11
458000 -- (-1613.048) (-1612.331) [-1605.095] (-1606.990) * (-1621.100) (-1607.692) (-1620.495) [-1612.048] -- 0:11:09
459000 -- (-1614.375) [-1595.969] (-1617.587) (-1618.295) * (-1625.558) (-1618.614) (-1615.228) [-1611.711] -- 0:11:08
460000 -- (-1616.425) [-1604.872] (-1617.261) (-1600.074) * [-1606.324] (-1617.540) (-1617.220) (-1636.554) -- 0:11:06
Average standard deviation of split frequencies: 0.012689
461000 -- (-1635.950) (-1620.992) (-1622.159) [-1601.570] * [-1601.944] (-1613.837) (-1608.516) (-1642.511) -- 0:11:06
462000 -- (-1624.171) (-1623.104) [-1623.893] (-1611.955) * (-1609.216) [-1613.340] (-1613.614) (-1632.011) -- 0:11:04
463000 -- [-1600.875] (-1606.519) (-1638.195) (-1645.217) * (-1625.271) (-1618.104) [-1609.442] (-1622.032) -- 0:11:03
464000 -- [-1608.468] (-1624.554) (-1643.394) (-1611.705) * (-1615.580) (-1615.357) [-1608.849] (-1619.240) -- 0:11:01
465000 -- [-1603.558] (-1628.147) (-1616.617) (-1606.832) * (-1651.155) (-1619.016) (-1612.369) [-1615.747] -- 0:11:00
Average standard deviation of split frequencies: 0.012476
466000 -- (-1624.116) [-1611.945] (-1623.129) (-1616.338) * (-1614.494) (-1625.686) [-1600.527] (-1620.411) -- 0:10:58
467000 -- [-1611.138] (-1616.706) (-1626.105) (-1622.172) * (-1615.413) (-1623.867) (-1610.974) [-1604.260] -- 0:10:57
468000 -- (-1615.826) (-1617.632) [-1610.477] (-1609.518) * (-1625.423) [-1614.650] (-1610.955) (-1619.913) -- 0:10:55
469000 -- (-1624.272) (-1614.630) (-1614.676) [-1603.574] * [-1610.294] (-1612.173) (-1624.135) (-1619.363) -- 0:10:54
470000 -- (-1611.273) (-1626.751) [-1623.028] (-1615.813) * (-1611.024) (-1616.862) (-1618.556) [-1615.175] -- 0:10:52
Average standard deviation of split frequencies: 0.012419
471000 -- (-1623.588) (-1612.673) (-1615.316) [-1606.443] * (-1607.677) [-1621.334] (-1633.803) (-1618.610) -- 0:10:51
472000 -- (-1625.868) [-1613.787] (-1628.360) (-1611.469) * [-1605.282] (-1615.558) (-1634.916) (-1624.429) -- 0:10:49
473000 -- (-1620.996) (-1605.445) (-1601.648) [-1606.890] * (-1614.218) (-1641.246) [-1613.543] (-1621.948) -- 0:10:48
474000 -- (-1624.518) (-1617.442) (-1618.510) [-1604.065] * (-1611.329) (-1618.321) [-1616.659] (-1616.459) -- 0:10:46
475000 -- (-1616.167) (-1617.335) [-1616.367] (-1612.038) * (-1618.730) [-1612.080] (-1636.656) (-1618.464) -- 0:10:45
Average standard deviation of split frequencies: 0.011785
476000 -- (-1617.417) (-1626.843) [-1614.698] (-1628.244) * [-1627.333] (-1607.385) (-1630.687) (-1625.303) -- 0:10:43
477000 -- (-1621.122) [-1616.767] (-1631.198) (-1606.828) * (-1624.099) [-1607.554] (-1629.385) (-1631.576) -- 0:10:43
478000 -- (-1629.813) [-1610.631] (-1620.857) (-1620.683) * (-1609.732) [-1615.576] (-1649.650) (-1621.984) -- 0:10:42
479000 -- [-1613.567] (-1623.528) (-1603.735) (-1631.573) * (-1619.115) (-1614.085) (-1627.058) [-1616.787] -- 0:10:41
480000 -- (-1614.572) (-1620.284) (-1606.240) [-1613.176] * (-1613.096) [-1610.006] (-1621.578) (-1619.726) -- 0:10:40
Average standard deviation of split frequencies: 0.012005
481000 -- (-1606.234) (-1612.953) [-1598.409] (-1623.564) * (-1614.473) [-1606.994] (-1630.866) (-1624.021) -- 0:10:39
482000 -- (-1633.934) (-1614.883) [-1609.865] (-1622.950) * [-1607.420] (-1628.351) (-1623.260) (-1611.383) -- 0:10:38
483000 -- (-1623.552) (-1608.453) (-1606.762) [-1603.221] * [-1614.262] (-1628.120) (-1613.591) (-1619.514) -- 0:10:37
484000 -- (-1631.731) (-1629.406) (-1611.265) [-1602.248] * [-1608.238] (-1603.819) (-1630.443) (-1615.673) -- 0:10:36
485000 -- (-1630.151) (-1609.742) (-1620.814) [-1610.517] * (-1614.107) (-1618.694) (-1625.317) [-1619.062] -- 0:10:34
Average standard deviation of split frequencies: 0.011995
486000 -- (-1605.808) (-1599.985) (-1619.173) [-1616.206] * (-1609.586) (-1612.966) (-1629.616) [-1612.678] -- 0:10:33
487000 -- (-1607.493) (-1620.985) (-1628.688) [-1613.624] * (-1624.255) (-1626.266) (-1620.555) [-1610.190] -- 0:10:32
488000 -- [-1607.550] (-1618.241) (-1623.194) (-1630.459) * (-1617.773) (-1616.166) (-1620.895) [-1623.584] -- 0:10:30
489000 -- (-1619.414) (-1610.868) [-1615.629] (-1628.113) * (-1630.013) (-1623.079) (-1612.210) [-1604.877] -- 0:10:29
490000 -- (-1617.262) (-1625.273) (-1614.164) [-1608.630] * (-1630.817) (-1639.476) (-1613.501) [-1610.356] -- 0:10:27
Average standard deviation of split frequencies: 0.012394
491000 -- (-1627.967) [-1623.429] (-1631.368) (-1610.085) * [-1612.900] (-1630.819) (-1625.969) (-1619.474) -- 0:10:26
492000 -- (-1616.354) [-1614.805] (-1622.379) (-1604.720) * [-1606.960] (-1626.384) (-1621.712) (-1619.466) -- 0:10:24
493000 -- (-1614.289) (-1647.205) (-1615.148) [-1614.897] * [-1598.249] (-1620.108) (-1627.889) (-1619.681) -- 0:10:23
494000 -- (-1618.559) (-1633.883) [-1617.840] (-1632.632) * (-1614.016) [-1622.897] (-1625.232) (-1636.888) -- 0:10:21
495000 -- (-1613.500) (-1643.066) [-1613.344] (-1623.506) * (-1604.142) (-1628.581) (-1626.935) [-1612.090] -- 0:10:20
Average standard deviation of split frequencies: 0.012749
496000 -- (-1617.265) (-1618.047) (-1627.973) [-1625.903] * (-1606.108) (-1622.555) [-1612.306] (-1614.429) -- 0:10:18
497000 -- (-1611.786) [-1610.929] (-1623.577) (-1614.193) * (-1622.558) (-1639.568) (-1619.264) [-1610.333] -- 0:10:17
498000 -- (-1620.088) (-1613.222) (-1629.529) [-1615.332] * [-1611.863] (-1619.883) (-1622.130) (-1624.677) -- 0:10:15
499000 -- [-1608.976] (-1606.747) (-1621.793) (-1614.413) * (-1613.585) (-1626.198) (-1618.014) [-1626.680] -- 0:10:14
500000 -- (-1627.784) (-1610.336) (-1632.528) [-1613.199] * [-1617.060] (-1620.102) (-1629.817) (-1615.571) -- 0:10:13
Average standard deviation of split frequencies: 0.012106
501000 -- (-1633.754) [-1603.034] (-1602.869) (-1607.349) * (-1634.545) [-1614.720] (-1638.558) (-1627.672) -- 0:10:11
502000 -- (-1625.883) (-1609.248) (-1610.696) [-1613.484] * (-1625.292) (-1607.922) [-1608.979] (-1610.317) -- 0:10:10
503000 -- (-1647.343) (-1619.450) [-1613.936] (-1609.546) * (-1624.082) [-1608.568] (-1617.758) (-1610.324) -- 0:10:08
504000 -- (-1617.770) [-1605.103] (-1616.213) (-1609.718) * (-1608.212) (-1607.165) [-1600.315] (-1627.320) -- 0:10:07
505000 -- (-1606.282) (-1617.689) (-1605.224) [-1610.866] * (-1603.315) [-1606.379] (-1607.944) (-1629.039) -- 0:10:05
Average standard deviation of split frequencies: 0.012946
506000 -- [-1598.327] (-1603.230) (-1618.053) (-1624.301) * [-1607.967] (-1627.278) (-1635.907) (-1627.916) -- 0:10:04
507000 -- [-1612.444] (-1621.579) (-1631.115) (-1603.127) * [-1616.831] (-1599.906) (-1627.677) (-1620.804) -- 0:10:02
508000 -- (-1606.098) (-1620.433) (-1616.535) [-1600.704] * (-1618.240) [-1611.229] (-1611.470) (-1610.142) -- 0:10:02
509000 -- [-1613.024] (-1618.884) (-1619.597) (-1604.755) * (-1630.622) (-1609.320) [-1613.459] (-1628.534) -- 0:10:00
510000 -- (-1609.792) (-1629.480) (-1618.240) [-1615.111] * (-1624.246) (-1619.342) [-1610.792] (-1635.038) -- 0:09:59
Average standard deviation of split frequencies: 0.011754
511000 -- [-1609.341] (-1624.108) (-1613.933) (-1620.393) * (-1630.222) (-1612.874) [-1604.809] (-1635.952) -- 0:09:58
512000 -- (-1616.334) (-1627.387) [-1598.084] (-1612.605) * (-1621.233) (-1608.417) [-1614.246] (-1621.619) -- 0:09:56
513000 -- (-1601.769) [-1607.650] (-1606.006) (-1620.985) * [-1598.653] (-1624.166) (-1632.789) (-1604.745) -- 0:09:55
514000 -- (-1619.730) (-1616.345) [-1611.056] (-1607.446) * [-1601.012] (-1624.655) (-1619.009) (-1613.829) -- 0:09:53
515000 -- (-1622.921) (-1618.456) (-1616.199) [-1607.964] * [-1608.464] (-1610.076) (-1617.618) (-1610.319) -- 0:09:52
Average standard deviation of split frequencies: 0.010931
516000 -- [-1615.457] (-1619.556) (-1614.356) (-1613.793) * (-1614.443) (-1599.855) [-1603.312] (-1642.404) -- 0:09:50
517000 -- (-1616.211) [-1596.142] (-1619.746) (-1613.909) * (-1620.968) (-1619.485) [-1611.287] (-1628.149) -- 0:09:49
518000 -- (-1615.901) [-1598.918] (-1610.088) (-1621.033) * (-1605.548) [-1599.740] (-1613.037) (-1622.976) -- 0:09:48
519000 -- (-1636.490) (-1628.665) [-1606.207] (-1630.272) * (-1613.319) [-1606.430] (-1616.611) (-1626.236) -- 0:09:46
520000 -- [-1611.487] (-1636.607) (-1613.788) (-1613.479) * (-1614.506) [-1608.031] (-1609.569) (-1623.050) -- 0:09:45
Average standard deviation of split frequencies: 0.011544
521000 -- (-1620.614) (-1628.815) [-1602.210] (-1617.930) * (-1623.526) [-1612.008] (-1613.838) (-1609.967) -- 0:09:43
522000 -- (-1620.462) (-1621.015) [-1605.544] (-1626.738) * (-1605.951) (-1612.756) [-1603.247] (-1612.863) -- 0:09:42
523000 -- [-1608.896] (-1620.470) (-1610.470) (-1635.410) * (-1620.607) (-1622.801) (-1615.739) [-1621.172] -- 0:09:40
524000 -- (-1605.148) (-1630.010) [-1612.861] (-1615.381) * (-1611.988) [-1612.212] (-1606.316) (-1615.489) -- 0:09:39
525000 -- (-1606.971) (-1623.573) [-1609.002] (-1615.561) * [-1602.433] (-1620.747) (-1599.323) (-1611.664) -- 0:09:38
Average standard deviation of split frequencies: 0.010466
526000 -- (-1610.236) (-1619.372) [-1613.251] (-1616.346) * [-1606.641] (-1620.359) (-1610.375) (-1608.891) -- 0:09:36
527000 -- [-1609.169] (-1607.334) (-1617.249) (-1620.564) * [-1608.931] (-1623.097) (-1606.588) (-1612.170) -- 0:09:35
528000 -- [-1617.522] (-1627.835) (-1616.830) (-1630.157) * (-1607.299) (-1625.165) (-1620.054) [-1601.597] -- 0:09:34
529000 -- (-1624.761) (-1617.571) (-1610.161) [-1617.489] * [-1612.232] (-1606.715) (-1630.067) (-1617.116) -- 0:09:33
530000 -- [-1601.532] (-1624.627) (-1614.926) (-1613.910) * [-1604.195] (-1618.802) (-1616.994) (-1608.753) -- 0:09:31
Average standard deviation of split frequencies: 0.010819
531000 -- (-1604.087) (-1606.592) (-1630.158) [-1602.541] * [-1604.220] (-1631.153) (-1622.820) (-1620.358) -- 0:09:30
532000 -- (-1612.497) [-1610.813] (-1624.723) (-1622.894) * (-1615.953) (-1617.282) (-1628.528) [-1606.052] -- 0:09:29
533000 -- (-1611.460) (-1616.318) [-1619.621] (-1619.030) * (-1616.374) (-1629.950) [-1610.696] (-1611.439) -- 0:09:27
534000 -- (-1628.967) [-1599.452] (-1608.624) (-1612.508) * (-1614.613) (-1638.135) (-1630.492) [-1616.852] -- 0:09:26
535000 -- (-1629.240) (-1612.305) [-1607.459] (-1641.484) * (-1624.419) (-1634.671) [-1615.780] (-1621.476) -- 0:09:24
Average standard deviation of split frequencies: 0.010554
536000 -- (-1628.003) [-1607.515] (-1612.852) (-1635.569) * (-1615.030) [-1629.355] (-1649.318) (-1624.939) -- 0:09:23
537000 -- [-1616.708] (-1615.715) (-1628.772) (-1610.680) * [-1606.607] (-1625.011) (-1614.405) (-1622.303) -- 0:09:22
538000 -- (-1629.688) (-1619.466) (-1618.415) [-1601.473] * (-1622.207) [-1611.033] (-1615.434) (-1623.152) -- 0:09:20
539000 -- (-1612.467) (-1616.076) (-1616.531) [-1597.448] * (-1634.225) [-1618.336] (-1615.014) (-1618.210) -- 0:09:19
540000 -- (-1613.415) (-1621.898) (-1629.710) [-1614.366] * (-1623.270) [-1610.395] (-1619.764) (-1618.954) -- 0:09:17
Average standard deviation of split frequencies: 0.011054
541000 -- [-1612.027] (-1623.976) (-1629.197) (-1614.792) * (-1618.120) (-1622.828) [-1619.861] (-1631.193) -- 0:09:16
542000 -- (-1609.297) [-1604.086] (-1636.964) (-1601.059) * (-1619.285) [-1600.799] (-1619.533) (-1619.130) -- 0:09:15
543000 -- (-1620.729) (-1617.122) (-1637.886) [-1608.909] * (-1622.092) (-1608.227) (-1613.088) [-1612.882] -- 0:09:13
544000 -- (-1636.978) [-1615.791] (-1634.550) (-1607.378) * (-1624.886) [-1615.501] (-1611.148) (-1625.504) -- 0:09:12
545000 -- (-1621.135) (-1622.228) (-1624.949) [-1612.359] * (-1615.860) [-1604.403] (-1624.629) (-1607.514) -- 0:09:11
Average standard deviation of split frequencies: 0.010450
546000 -- [-1609.822] (-1607.530) (-1620.519) (-1628.287) * (-1624.993) [-1600.871] (-1621.717) (-1615.303) -- 0:09:09
547000 -- (-1616.561) (-1616.997) (-1613.701) [-1602.899] * (-1627.426) (-1613.158) (-1625.574) [-1615.908] -- 0:09:09
548000 -- (-1621.732) [-1621.944] (-1618.407) (-1616.222) * (-1608.333) (-1602.443) (-1639.671) [-1614.315] -- 0:09:08
549000 -- (-1626.584) [-1612.777] (-1631.363) (-1623.119) * [-1615.024] (-1611.817) (-1618.743) (-1639.873) -- 0:09:07
550000 -- [-1620.673] (-1621.314) (-1629.222) (-1632.367) * (-1622.744) [-1610.934] (-1613.887) (-1631.060) -- 0:09:06
Average standard deviation of split frequencies: 0.010242
551000 -- (-1630.782) (-1619.114) [-1617.176] (-1638.307) * (-1621.285) [-1605.132] (-1643.013) (-1629.857) -- 0:09:05
552000 -- (-1619.419) (-1610.664) [-1620.932] (-1614.699) * (-1608.746) [-1603.713] (-1619.473) (-1622.380) -- 0:09:04
553000 -- (-1603.905) (-1635.587) (-1622.044) [-1592.511] * (-1605.020) [-1611.575] (-1617.565) (-1634.117) -- 0:09:03
554000 -- (-1616.619) (-1615.459) (-1627.805) [-1610.103] * [-1625.569] (-1623.947) (-1618.180) (-1639.322) -- 0:09:03
555000 -- [-1607.509] (-1614.958) (-1623.123) (-1616.925) * (-1611.535) [-1630.001] (-1624.086) (-1627.453) -- 0:09:02
Average standard deviation of split frequencies: 0.009690
556000 -- (-1624.515) (-1611.827) (-1620.464) [-1602.005] * (-1606.067) [-1612.297] (-1627.292) (-1617.262) -- 0:09:01
557000 -- (-1628.066) (-1616.711) (-1617.308) [-1611.902] * (-1617.903) [-1614.393] (-1624.796) (-1622.810) -- 0:09:00
558000 -- (-1618.142) (-1632.335) (-1600.852) [-1601.782] * (-1610.999) (-1621.676) [-1613.617] (-1612.768) -- 0:08:59
559000 -- (-1626.452) (-1615.588) [-1602.162] (-1625.377) * (-1624.303) (-1615.100) [-1608.942] (-1621.787) -- 0:08:58
560000 -- (-1635.656) (-1603.278) (-1603.080) [-1604.283] * [-1613.905] (-1632.324) (-1614.342) (-1620.371) -- 0:08:56
Average standard deviation of split frequencies: 0.009309
561000 -- (-1616.204) (-1605.878) (-1611.941) [-1617.337] * (-1621.073) (-1623.595) [-1609.022] (-1611.928) -- 0:08:55
562000 -- (-1627.178) (-1614.352) [-1603.716] (-1609.002) * (-1640.774) (-1615.941) (-1608.038) [-1610.807] -- 0:08:53
563000 -- (-1609.732) [-1605.952] (-1617.859) (-1618.761) * (-1619.018) (-1610.976) (-1615.183) [-1604.743] -- 0:08:52
564000 -- [-1610.183] (-1607.980) (-1619.656) (-1620.979) * (-1627.034) (-1602.552) [-1598.408] (-1605.350) -- 0:08:51
565000 -- (-1624.444) (-1611.692) (-1627.201) [-1616.740] * [-1601.262] (-1609.155) (-1607.719) (-1619.691) -- 0:08:49
Average standard deviation of split frequencies: 0.009191
566000 -- (-1622.308) (-1620.145) (-1642.966) [-1617.446] * (-1615.330) [-1611.175] (-1611.470) (-1619.820) -- 0:08:49
567000 -- (-1612.872) (-1612.739) (-1623.003) [-1610.538] * (-1627.551) (-1634.935) (-1610.934) [-1611.121] -- 0:08:47
568000 -- (-1604.134) [-1605.384] (-1617.148) (-1628.652) * (-1628.655) (-1616.795) [-1614.279] (-1612.086) -- 0:08:47
569000 -- (-1608.267) (-1625.146) (-1627.996) [-1603.934] * [-1607.129] (-1637.033) (-1627.859) (-1624.580) -- 0:08:46
570000 -- (-1609.347) [-1612.471] (-1624.295) (-1623.745) * (-1615.634) (-1619.754) (-1617.490) [-1605.391] -- 0:08:45
Average standard deviation of split frequencies: 0.009117
571000 -- (-1624.344) (-1615.404) (-1626.640) [-1613.927] * (-1617.126) (-1627.322) (-1607.041) [-1602.976] -- 0:08:44
572000 -- (-1621.584) [-1609.636] (-1633.470) (-1610.699) * [-1620.371] (-1621.354) (-1613.295) (-1600.614) -- 0:08:43
573000 -- (-1616.025) (-1608.935) [-1624.015] (-1608.869) * (-1625.527) (-1617.313) (-1617.891) [-1612.036] -- 0:08:42
574000 -- (-1620.675) (-1610.758) (-1628.570) [-1608.820] * (-1624.550) [-1617.526] (-1609.250) (-1617.416) -- 0:08:41
575000 -- (-1623.357) (-1617.889) (-1631.375) [-1607.063] * (-1626.107) (-1628.448) [-1607.366] (-1638.806) -- 0:08:40
Average standard deviation of split frequencies: 0.008623
576000 -- (-1611.272) [-1616.600] (-1624.954) (-1616.373) * (-1604.302) (-1629.534) [-1605.123] (-1627.273) -- 0:08:39
577000 -- [-1613.193] (-1611.048) (-1631.026) (-1627.771) * (-1610.850) (-1616.905) (-1624.143) [-1603.048] -- 0:08:39
578000 -- [-1613.475] (-1597.126) (-1633.357) (-1627.966) * (-1626.791) (-1623.404) [-1613.329] (-1618.468) -- 0:08:37
579000 -- [-1595.640] (-1614.390) (-1619.112) (-1614.253) * [-1596.908] (-1626.886) (-1625.142) (-1613.505) -- 0:08:36
580000 -- [-1596.627] (-1614.484) (-1623.388) (-1613.598) * [-1606.421] (-1627.079) (-1613.387) (-1611.188) -- 0:08:36
Average standard deviation of split frequencies: 0.008389
581000 -- (-1602.807) [-1608.175] (-1629.856) (-1626.773) * (-1599.291) (-1618.834) (-1615.262) [-1619.527] -- 0:08:34
582000 -- (-1604.597) (-1639.944) [-1619.846] (-1617.507) * [-1611.861] (-1617.147) (-1635.965) (-1617.839) -- 0:08:34
583000 -- (-1606.593) (-1629.651) (-1631.145) [-1615.199] * [-1605.159] (-1611.026) (-1629.628) (-1617.668) -- 0:08:33
584000 -- (-1599.979) (-1622.610) [-1616.561] (-1622.193) * [-1611.381] (-1614.489) (-1628.900) (-1615.460) -- 0:08:32
585000 -- [-1603.409] (-1627.281) (-1633.484) (-1612.272) * (-1613.718) [-1615.426] (-1623.763) (-1634.663) -- 0:08:31
Average standard deviation of split frequencies: 0.008016
586000 -- (-1614.211) [-1599.451] (-1625.573) (-1614.083) * (-1603.589) [-1606.734] (-1624.452) (-1617.730) -- 0:08:30
587000 -- (-1627.752) (-1610.992) [-1609.407] (-1615.720) * (-1609.651) (-1639.034) (-1613.737) [-1617.984] -- 0:08:29
588000 -- (-1640.077) (-1618.892) [-1612.467] (-1621.362) * (-1618.832) [-1612.560] (-1626.243) (-1628.495) -- 0:08:28
589000 -- (-1638.617) (-1614.250) (-1624.726) [-1612.089] * (-1642.148) [-1604.560] (-1618.791) (-1614.421) -- 0:08:27
590000 -- (-1639.359) (-1607.858) [-1622.510] (-1627.220) * (-1612.093) (-1607.010) [-1611.237] (-1609.981) -- 0:08:26
Average standard deviation of split frequencies: 0.007411
591000 -- (-1621.871) (-1622.331) [-1620.197] (-1604.484) * (-1618.947) [-1601.041] (-1620.882) (-1609.387) -- 0:08:25
592000 -- (-1616.067) (-1613.464) (-1636.663) [-1617.976] * [-1622.986] (-1610.246) (-1627.253) (-1627.540) -- 0:08:25
593000 -- (-1616.749) [-1618.583] (-1631.801) (-1608.209) * [-1609.679] (-1608.771) (-1621.288) (-1621.780) -- 0:08:23
594000 -- (-1614.912) (-1612.489) (-1619.646) [-1599.155] * (-1612.202) (-1619.470) [-1609.864] (-1627.502) -- 0:08:23
595000 -- (-1621.109) (-1614.949) (-1620.877) [-1603.547] * (-1619.077) (-1609.324) (-1611.074) [-1606.463] -- 0:08:22
Average standard deviation of split frequencies: 0.007034
596000 -- [-1615.448] (-1610.259) (-1612.345) (-1622.026) * [-1615.672] (-1621.334) (-1638.798) (-1621.864) -- 0:08:20
597000 -- (-1604.474) (-1613.901) (-1623.173) [-1618.297] * [-1607.695] (-1632.344) (-1608.986) (-1625.238) -- 0:08:20
598000 -- [-1609.828] (-1617.576) (-1624.157) (-1622.865) * (-1611.440) (-1619.591) [-1607.023] (-1612.267) -- 0:08:19
599000 -- [-1605.778] (-1622.367) (-1618.777) (-1618.994) * (-1622.755) (-1624.268) (-1622.729) [-1609.442] -- 0:08:18
600000 -- (-1608.944) (-1607.726) [-1617.753] (-1639.443) * (-1627.973) (-1630.202) [-1598.280] (-1622.879) -- 0:08:17
Average standard deviation of split frequencies: 0.007848
601000 -- (-1626.030) [-1609.711] (-1619.368) (-1623.102) * [-1620.550] (-1618.021) (-1618.733) (-1630.354) -- 0:08:15
602000 -- [-1608.701] (-1615.202) (-1615.777) (-1623.293) * (-1610.363) (-1632.435) (-1618.977) [-1603.832] -- 0:08:15
603000 -- (-1625.250) (-1623.828) [-1606.141] (-1626.118) * (-1632.730) (-1623.041) [-1625.846] (-1613.282) -- 0:08:14
604000 -- (-1628.744) (-1609.261) [-1602.689] (-1618.925) * (-1626.608) (-1616.676) (-1629.333) [-1608.140] -- 0:08:13
605000 -- (-1616.564) [-1603.860] (-1612.479) (-1606.414) * (-1606.296) (-1625.496) (-1621.860) [-1593.425] -- 0:08:12
Average standard deviation of split frequencies: 0.007279
606000 -- (-1627.738) (-1620.618) (-1626.768) [-1604.691] * [-1606.150] (-1613.126) (-1628.115) (-1617.519) -- 0:08:11
607000 -- (-1613.010) [-1608.874] (-1619.854) (-1605.906) * (-1616.031) (-1615.920) (-1625.386) [-1615.051] -- 0:08:10
608000 -- [-1619.176] (-1603.370) (-1615.451) (-1614.927) * (-1626.981) (-1631.583) (-1615.538) [-1606.440] -- 0:08:09
609000 -- (-1619.294) [-1606.903] (-1612.400) (-1630.940) * (-1624.391) (-1619.844) (-1611.214) [-1613.550] -- 0:08:07
610000 -- (-1604.972) (-1611.847) [-1615.462] (-1631.277) * [-1618.747] (-1622.037) (-1609.855) (-1631.045) -- 0:08:07
Average standard deviation of split frequencies: 0.007278
611000 -- (-1634.983) [-1613.092] (-1614.059) (-1614.171) * (-1614.256) (-1616.251) [-1603.552] (-1635.282) -- 0:08:06
612000 -- (-1616.367) (-1619.652) [-1607.295] (-1626.580) * (-1612.775) (-1630.528) [-1607.967] (-1623.376) -- 0:08:05
613000 -- (-1617.505) [-1609.520] (-1602.540) (-1617.516) * (-1617.004) (-1645.671) (-1618.204) [-1614.448] -- 0:08:04
614000 -- (-1628.978) (-1607.277) (-1626.114) [-1608.390] * (-1625.105) (-1618.946) [-1609.601] (-1619.941) -- 0:08:03
615000 -- (-1633.231) (-1619.058) [-1597.627] (-1611.918) * (-1623.444) (-1621.200) [-1600.706] (-1617.945) -- 0:08:02
Average standard deviation of split frequencies: 0.007735
616000 -- [-1616.469] (-1615.733) (-1624.463) (-1604.391) * [-1606.105] (-1620.529) (-1607.592) (-1617.724) -- 0:08:01
617000 -- (-1619.001) (-1611.044) (-1606.655) [-1621.862] * (-1604.279) [-1597.710] (-1611.937) (-1610.990) -- 0:08:00
618000 -- (-1622.993) (-1612.747) [-1607.383] (-1617.140) * (-1619.733) [-1602.017] (-1627.285) (-1614.167) -- 0:07:59
619000 -- (-1610.267) (-1617.177) [-1607.363] (-1620.100) * (-1624.749) [-1607.609] (-1620.015) (-1605.568) -- 0:07:58
620000 -- (-1610.321) (-1616.397) (-1617.384) [-1624.519] * (-1632.101) (-1616.792) [-1605.476] (-1638.806) -- 0:07:56
Average standard deviation of split frequencies: 0.007921
621000 -- (-1617.801) (-1604.265) [-1599.845] (-1616.409) * (-1622.241) (-1616.787) [-1608.843] (-1619.237) -- 0:07:56
622000 -- [-1612.493] (-1612.837) (-1609.886) (-1625.985) * (-1620.083) (-1629.857) [-1602.665] (-1630.765) -- 0:07:55
623000 -- (-1603.057) (-1629.017) [-1604.963] (-1612.102) * [-1606.754] (-1620.547) (-1607.026) (-1623.988) -- 0:07:53
624000 -- (-1617.455) (-1619.531) [-1608.815] (-1621.470) * (-1620.077) (-1615.795) (-1626.553) [-1597.721] -- 0:07:53
625000 -- (-1621.972) (-1618.209) [-1614.986] (-1613.540) * (-1611.507) [-1608.657] (-1618.994) (-1617.051) -- 0:07:52
Average standard deviation of split frequencies: 0.007450
626000 -- (-1615.938) (-1601.266) [-1621.571] (-1621.263) * (-1635.332) (-1627.398) (-1619.577) [-1599.395] -- 0:07:50
627000 -- [-1613.100] (-1610.200) (-1622.165) (-1618.428) * (-1609.513) (-1609.236) (-1624.234) [-1605.124] -- 0:07:49
628000 -- (-1622.448) (-1617.159) (-1625.049) [-1614.537] * (-1608.793) (-1621.397) (-1623.980) [-1614.939] -- 0:07:49
629000 -- (-1619.902) [-1609.847] (-1627.774) (-1632.970) * (-1609.160) (-1620.190) (-1614.053) [-1602.790] -- 0:07:47
630000 -- (-1627.582) (-1606.394) (-1626.491) [-1604.815] * (-1612.866) [-1605.766] (-1625.787) (-1607.946) -- 0:07:46
Average standard deviation of split frequencies: 0.007795
631000 -- (-1638.517) (-1620.361) (-1621.784) [-1617.386] * (-1621.882) [-1599.987] (-1617.754) (-1610.707) -- 0:07:46
632000 -- (-1603.830) [-1614.732] (-1610.819) (-1626.376) * (-1626.822) (-1597.554) [-1610.098] (-1598.349) -- 0:07:44
633000 -- (-1619.188) (-1616.293) [-1613.948] (-1608.269) * (-1628.878) (-1614.243) (-1613.351) [-1599.966] -- 0:07:43
634000 -- (-1622.584) [-1606.145] (-1613.044) (-1618.644) * (-1613.544) [-1613.197] (-1610.606) (-1609.601) -- 0:07:42
635000 -- (-1609.679) [-1599.909] (-1623.085) (-1623.445) * (-1627.982) (-1601.296) [-1609.717] (-1611.575) -- 0:07:41
Average standard deviation of split frequencies: 0.008206
636000 -- [-1607.494] (-1609.535) (-1618.560) (-1619.394) * (-1623.374) [-1602.390] (-1614.147) (-1617.384) -- 0:07:40
637000 -- (-1619.361) [-1609.934] (-1621.013) (-1624.975) * (-1618.946) [-1592.528] (-1628.379) (-1617.262) -- 0:07:39
638000 -- (-1624.364) [-1616.595] (-1607.689) (-1623.239) * [-1613.374] (-1596.262) (-1614.941) (-1606.218) -- 0:07:38
639000 -- (-1623.740) (-1634.412) [-1603.631] (-1621.352) * (-1614.423) (-1622.249) (-1639.427) [-1611.924] -- 0:07:37
640000 -- (-1609.613) (-1630.806) [-1602.673] (-1614.539) * (-1633.790) (-1621.947) [-1613.232] (-1627.480) -- 0:07:36
Average standard deviation of split frequencies: 0.008278
641000 -- (-1607.095) (-1629.014) [-1617.225] (-1611.475) * (-1638.234) (-1616.243) (-1626.998) [-1613.694] -- 0:07:35
642000 -- [-1612.798] (-1619.082) (-1625.406) (-1623.778) * [-1608.427] (-1620.602) (-1617.280) (-1622.007) -- 0:07:34
643000 -- (-1619.866) (-1607.674) [-1600.379] (-1636.251) * (-1616.751) (-1618.234) [-1610.713] (-1608.289) -- 0:07:33
644000 -- (-1605.339) [-1600.213] (-1606.830) (-1615.191) * (-1628.559) (-1642.180) [-1600.823] (-1624.699) -- 0:07:32
645000 -- (-1622.151) (-1616.516) [-1612.092] (-1649.762) * (-1617.440) [-1629.683] (-1617.566) (-1614.104) -- 0:07:31
Average standard deviation of split frequencies: 0.007975
646000 -- (-1626.238) (-1619.574) [-1614.191] (-1627.562) * (-1624.064) (-1618.301) (-1608.530) [-1617.564] -- 0:07:30
647000 -- (-1610.463) [-1600.847] (-1617.210) (-1605.261) * (-1631.027) (-1615.855) (-1622.672) [-1605.374] -- 0:07:29
648000 -- [-1603.493] (-1615.896) (-1620.415) (-1615.502) * [-1611.694] (-1614.281) (-1618.827) (-1601.547) -- 0:07:28
649000 -- (-1634.656) [-1612.506] (-1628.148) (-1603.754) * (-1640.286) (-1619.679) (-1621.708) [-1600.179] -- 0:07:26
650000 -- (-1624.316) (-1609.729) [-1598.794] (-1618.542) * (-1638.320) (-1621.314) (-1621.309) [-1607.180] -- 0:07:25
Average standard deviation of split frequencies: 0.009204
651000 -- (-1651.098) (-1619.186) (-1610.057) [-1614.756] * (-1639.267) [-1613.660] (-1621.174) (-1610.710) -- 0:07:24
652000 -- (-1640.711) (-1609.560) [-1604.645] (-1619.776) * (-1637.390) (-1614.785) (-1628.311) [-1607.547] -- 0:07:23
653000 -- (-1626.166) [-1606.893] (-1622.962) (-1611.107) * (-1639.539) [-1604.616] (-1624.160) (-1613.663) -- 0:07:22
654000 -- (-1621.844) (-1614.435) (-1610.771) [-1614.157] * (-1645.439) [-1608.259] (-1609.488) (-1626.327) -- 0:07:21
655000 -- (-1614.733) (-1611.715) (-1624.144) [-1627.166] * (-1633.070) (-1619.966) [-1608.455] (-1649.073) -- 0:07:20
Average standard deviation of split frequencies: 0.010327
656000 -- (-1614.430) (-1622.088) [-1604.509] (-1615.454) * (-1612.712) (-1620.385) [-1606.404] (-1646.910) -- 0:07:18
657000 -- (-1604.875) [-1620.665] (-1605.744) (-1622.081) * (-1614.732) (-1621.230) [-1609.261] (-1621.144) -- 0:07:18
658000 -- (-1629.392) (-1605.271) [-1610.343] (-1628.721) * (-1623.532) (-1637.913) [-1618.855] (-1611.077) -- 0:07:16
659000 -- (-1630.188) (-1607.010) (-1607.649) [-1619.780] * (-1622.380) (-1643.706) [-1598.524] (-1614.362) -- 0:07:15
660000 -- (-1622.751) [-1613.775] (-1610.406) (-1614.616) * (-1623.185) [-1622.153] (-1608.481) (-1647.175) -- 0:07:13
Average standard deviation of split frequencies: 0.010333
661000 -- (-1609.887) [-1626.993] (-1621.719) (-1614.626) * [-1612.136] (-1620.271) (-1629.928) (-1606.702) -- 0:07:12
662000 -- (-1619.127) [-1612.724] (-1630.651) (-1606.747) * (-1611.383) [-1616.852] (-1616.115) (-1613.163) -- 0:07:10
663000 -- (-1612.975) [-1605.822] (-1627.595) (-1619.923) * (-1611.224) (-1623.084) (-1626.730) [-1606.335] -- 0:07:09
664000 -- [-1611.788] (-1609.421) (-1620.955) (-1627.059) * (-1614.304) (-1617.420) (-1629.021) [-1602.308] -- 0:07:08
665000 -- [-1610.126] (-1621.363) (-1624.785) (-1625.536) * (-1612.030) (-1619.508) (-1644.794) [-1602.727] -- 0:07:06
Average standard deviation of split frequencies: 0.010460
666000 -- (-1605.136) [-1608.013] (-1602.588) (-1621.438) * [-1615.118] (-1603.162) (-1628.121) (-1620.925) -- 0:07:05
667000 -- (-1624.499) (-1610.818) (-1631.929) [-1612.264] * [-1595.655] (-1626.567) (-1625.043) (-1604.368) -- 0:07:03
668000 -- [-1612.531] (-1609.094) (-1626.430) (-1637.139) * [-1614.703] (-1623.511) (-1632.627) (-1605.213) -- 0:07:02
669000 -- (-1620.181) (-1616.790) (-1619.077) [-1602.746] * (-1613.473) (-1610.264) [-1596.814] (-1611.857) -- 0:07:01
670000 -- [-1616.299] (-1625.872) (-1623.252) (-1611.489) * (-1611.164) (-1610.782) [-1608.955] (-1603.851) -- 0:06:59
Average standard deviation of split frequencies: 0.010752
671000 -- (-1603.466) (-1626.385) (-1633.141) [-1608.532] * (-1626.837) (-1623.017) [-1620.532] (-1616.440) -- 0:06:58
672000 -- (-1623.913) (-1607.921) (-1623.944) [-1599.144] * (-1627.235) (-1614.637) (-1623.365) [-1620.215] -- 0:06:56
673000 -- (-1621.524) (-1620.449) (-1608.760) [-1607.151] * (-1603.784) (-1606.678) [-1601.765] (-1621.312) -- 0:06:55
674000 -- (-1627.200) (-1616.626) (-1623.159) [-1618.101] * (-1632.582) (-1614.987) [-1605.680] (-1606.263) -- 0:06:54
675000 -- [-1602.190] (-1611.119) (-1618.670) (-1619.561) * [-1611.363] (-1605.097) (-1612.117) (-1604.504) -- 0:06:53
Average standard deviation of split frequencies: 0.011158
676000 -- [-1614.497] (-1609.887) (-1621.745) (-1629.289) * (-1620.019) (-1608.622) [-1600.765] (-1624.966) -- 0:06:51
677000 -- (-1618.313) (-1611.588) (-1638.874) [-1608.974] * (-1623.535) (-1606.982) [-1612.781] (-1619.612) -- 0:06:50
678000 -- (-1607.796) (-1612.503) [-1610.861] (-1628.140) * (-1613.122) [-1610.705] (-1624.392) (-1621.954) -- 0:06:48
679000 -- [-1602.677] (-1608.340) (-1625.421) (-1624.492) * (-1609.348) [-1603.678] (-1615.876) (-1634.965) -- 0:06:47
680000 -- (-1606.584) [-1606.905] (-1621.385) (-1619.065) * (-1610.037) (-1626.373) [-1616.636] (-1624.066) -- 0:06:46
Average standard deviation of split frequencies: 0.010883
681000 -- [-1597.599] (-1618.909) (-1612.906) (-1628.453) * (-1618.255) [-1617.577] (-1607.554) (-1611.044) -- 0:06:44
682000 -- [-1600.756] (-1613.929) (-1614.260) (-1616.508) * (-1620.037) (-1617.291) (-1623.510) [-1618.772] -- 0:06:43
683000 -- (-1605.362) (-1614.891) (-1618.633) [-1620.125] * (-1613.623) [-1620.216] (-1636.454) (-1608.838) -- 0:06:41
684000 -- [-1616.559] (-1628.209) (-1621.934) (-1619.855) * (-1616.703) (-1625.067) (-1623.108) [-1606.205] -- 0:06:40
685000 -- (-1626.373) [-1617.363] (-1650.660) (-1609.588) * (-1625.652) (-1613.217) (-1608.679) [-1606.893] -- 0:06:39
Average standard deviation of split frequencies: 0.011044
686000 -- [-1609.031] (-1618.098) (-1626.495) (-1632.987) * (-1622.700) [-1604.575] (-1623.086) (-1614.617) -- 0:06:37
687000 -- (-1614.698) [-1611.204] (-1609.119) (-1620.742) * (-1623.220) [-1609.126] (-1617.835) (-1635.112) -- 0:06:36
688000 -- (-1602.021) (-1616.136) [-1606.617] (-1626.216) * (-1625.330) [-1613.323] (-1623.858) (-1618.391) -- 0:06:34
689000 -- (-1615.405) (-1641.201) [-1604.977] (-1623.612) * (-1619.834) (-1606.797) (-1631.777) [-1612.992] -- 0:06:33
690000 -- [-1611.097] (-1618.581) (-1606.180) (-1615.167) * (-1609.430) (-1617.120) (-1632.001) [-1610.976] -- 0:06:32
Average standard deviation of split frequencies: 0.010750
691000 -- [-1603.357] (-1606.704) (-1615.952) (-1628.715) * (-1617.381) [-1612.353] (-1625.996) (-1609.276) -- 0:06:30
692000 -- (-1615.058) (-1626.668) (-1618.193) [-1615.247] * (-1605.813) (-1610.286) (-1631.808) [-1609.632] -- 0:06:29
693000 -- (-1618.669) (-1628.132) (-1608.106) [-1610.683] * (-1612.376) (-1611.213) (-1628.234) [-1603.132] -- 0:06:28
694000 -- (-1629.678) [-1625.540] (-1616.970) (-1617.398) * [-1613.351] (-1618.367) (-1622.185) (-1604.658) -- 0:06:26
695000 -- (-1636.002) (-1618.946) (-1602.267) [-1605.653] * (-1618.498) (-1619.588) [-1599.377] (-1599.252) -- 0:06:25
Average standard deviation of split frequencies: 0.011200
696000 -- (-1628.837) [-1610.269] (-1605.719) (-1614.584) * (-1629.760) [-1618.654] (-1613.629) (-1608.729) -- 0:06:23
697000 -- (-1605.879) (-1605.186) (-1609.379) [-1616.500] * (-1634.243) (-1612.564) [-1605.408] (-1614.981) -- 0:06:22
698000 -- [-1604.109] (-1620.073) (-1619.719) (-1649.723) * (-1603.465) (-1617.137) [-1602.539] (-1632.858) -- 0:06:21
699000 -- [-1616.924] (-1608.184) (-1618.800) (-1623.782) * (-1624.246) (-1611.829) (-1620.103) [-1613.554] -- 0:06:20
700000 -- (-1620.779) [-1614.560] (-1624.899) (-1627.795) * (-1613.472) (-1618.686) [-1611.498] (-1615.937) -- 0:06:18
Average standard deviation of split frequencies: 0.011245
701000 -- [-1611.702] (-1611.903) (-1610.308) (-1609.892) * (-1597.569) (-1621.374) [-1607.506] (-1626.039) -- 0:06:17
702000 -- (-1610.809) (-1614.912) (-1619.405) [-1619.374] * [-1603.005] (-1622.201) (-1607.990) (-1615.787) -- 0:06:16
703000 -- [-1594.629] (-1614.662) (-1614.862) (-1636.211) * [-1607.285] (-1616.122) (-1613.770) (-1628.947) -- 0:06:14
704000 -- (-1608.522) (-1620.329) [-1621.579] (-1624.298) * (-1627.530) (-1630.897) (-1603.362) [-1611.031] -- 0:06:13
705000 -- [-1608.693] (-1610.984) (-1618.019) (-1609.125) * (-1628.693) (-1615.256) [-1610.266] (-1622.651) -- 0:06:11
Average standard deviation of split frequencies: 0.011756
706000 -- [-1612.204] (-1621.780) (-1605.548) (-1615.945) * (-1629.929) [-1610.065] (-1616.459) (-1626.091) -- 0:06:10
707000 -- [-1617.618] (-1623.403) (-1606.767) (-1623.767) * (-1628.479) (-1605.414) [-1605.723] (-1614.404) -- 0:06:09
708000 -- (-1606.513) [-1617.541] (-1634.819) (-1614.069) * (-1626.774) [-1594.871] (-1616.180) (-1624.826) -- 0:06:08
709000 -- (-1618.784) (-1612.611) (-1619.693) [-1618.948] * (-1627.342) (-1619.173) [-1614.798] (-1605.711) -- 0:06:06
710000 -- [-1605.291] (-1632.890) (-1624.674) (-1637.833) * (-1636.373) (-1622.957) (-1613.873) [-1606.510] -- 0:06:05
Average standard deviation of split frequencies: 0.011277
711000 -- (-1614.384) [-1621.921] (-1630.107) (-1614.902) * (-1625.613) (-1626.808) [-1605.433] (-1616.619) -- 0:06:04
712000 -- (-1617.589) (-1626.922) (-1619.688) [-1611.071] * (-1617.965) (-1616.684) [-1605.038] (-1601.053) -- 0:06:02
713000 -- (-1602.721) (-1617.525) (-1624.793) [-1603.572] * (-1619.264) (-1618.709) (-1611.354) [-1606.454] -- 0:06:01
714000 -- (-1609.137) (-1629.685) (-1621.900) [-1600.124] * (-1625.724) [-1608.535] (-1639.088) (-1624.820) -- 0:06:00
715000 -- (-1614.591) (-1623.915) (-1613.956) [-1604.739] * (-1629.510) [-1603.466] (-1620.070) (-1616.282) -- 0:05:58
Average standard deviation of split frequencies: 0.010887
716000 -- (-1611.368) [-1597.381] (-1629.948) (-1629.478) * (-1633.616) [-1611.666] (-1612.216) (-1630.676) -- 0:05:57
717000 -- (-1608.565) (-1614.576) (-1625.085) [-1605.688] * (-1629.352) [-1615.473] (-1614.259) (-1627.970) -- 0:05:56
718000 -- (-1617.398) (-1621.108) [-1613.916] (-1628.247) * (-1620.813) [-1607.592] (-1629.203) (-1610.989) -- 0:05:54
719000 -- (-1615.593) (-1619.423) [-1617.456] (-1613.578) * (-1616.279) (-1622.250) (-1620.640) [-1618.112] -- 0:05:53
720000 -- (-1601.743) [-1604.596] (-1622.111) (-1605.093) * (-1618.848) (-1617.975) (-1619.239) [-1628.993] -- 0:05:51
Average standard deviation of split frequencies: 0.011167
721000 -- [-1601.762] (-1622.656) (-1629.702) (-1621.303) * [-1615.541] (-1634.902) (-1627.115) (-1615.247) -- 0:05:50
722000 -- (-1616.751) (-1623.217) (-1632.878) [-1601.964] * (-1618.281) [-1625.056] (-1636.435) (-1622.706) -- 0:05:49
723000 -- (-1623.569) [-1611.199] (-1636.357) (-1613.533) * [-1603.246] (-1628.585) (-1624.411) (-1617.732) -- 0:05:48
724000 -- [-1599.305] (-1611.638) (-1644.970) (-1614.768) * (-1620.833) (-1612.370) [-1604.997] (-1609.108) -- 0:05:46
725000 -- (-1610.888) (-1610.017) (-1662.655) [-1610.748] * [-1604.260] (-1616.026) (-1607.432) (-1614.502) -- 0:05:45
Average standard deviation of split frequencies: 0.011618
726000 -- (-1627.318) [-1606.404] (-1622.468) (-1609.310) * (-1629.858) (-1634.645) (-1608.735) [-1607.383] -- 0:05:44
727000 -- (-1612.061) (-1608.003) (-1614.138) [-1611.645] * (-1623.390) (-1616.518) [-1609.150] (-1609.330) -- 0:05:42
728000 -- (-1617.682) (-1612.476) (-1615.951) [-1609.834] * (-1624.941) (-1610.212) [-1612.602] (-1607.885) -- 0:05:41
729000 -- (-1636.267) (-1624.959) [-1612.660] (-1619.542) * (-1621.676) [-1610.758] (-1638.707) (-1610.965) -- 0:05:40
730000 -- (-1619.783) (-1607.833) (-1628.535) [-1610.371] * [-1604.135] (-1603.956) (-1633.599) (-1622.186) -- 0:05:39
Average standard deviation of split frequencies: 0.011705
731000 -- (-1614.052) [-1603.037] (-1609.992) (-1615.578) * (-1608.323) (-1608.786) (-1613.522) [-1606.678] -- 0:05:37
732000 -- (-1608.852) (-1623.278) (-1631.126) [-1605.238] * (-1620.629) (-1617.790) (-1617.982) [-1606.578] -- 0:05:36
733000 -- [-1607.456] (-1617.933) (-1615.801) (-1625.998) * [-1608.977] (-1611.933) (-1611.672) (-1633.463) -- 0:05:35
734000 -- (-1611.600) (-1627.007) [-1620.646] (-1617.593) * [-1605.158] (-1640.634) (-1610.467) (-1625.364) -- 0:05:33
735000 -- [-1618.566] (-1642.745) (-1630.197) (-1604.687) * [-1615.290] (-1637.097) (-1612.172) (-1605.940) -- 0:05:32
Average standard deviation of split frequencies: 0.012009
736000 -- (-1647.186) (-1617.583) (-1615.349) [-1607.884] * [-1601.361] (-1615.830) (-1639.470) (-1638.918) -- 0:05:31
737000 -- (-1633.928) (-1617.382) (-1623.577) [-1617.214] * (-1601.994) (-1624.597) [-1607.457] (-1614.504) -- 0:05:29
738000 -- (-1628.079) [-1597.287] (-1623.983) (-1634.909) * (-1608.073) (-1615.222) (-1630.906) [-1606.597] -- 0:05:28
739000 -- (-1621.162) (-1616.196) [-1606.616] (-1616.530) * [-1614.922] (-1624.826) (-1615.776) (-1618.620) -- 0:05:27
740000 -- (-1623.972) [-1604.756] (-1628.440) (-1606.026) * (-1620.770) (-1630.475) [-1620.120] (-1635.729) -- 0:05:25
Average standard deviation of split frequencies: 0.011928
741000 -- (-1616.428) (-1617.170) (-1626.856) [-1605.916] * [-1608.530] (-1614.292) (-1598.295) (-1626.912) -- 0:05:24
742000 -- (-1607.246) (-1623.450) (-1617.726) [-1600.727] * (-1609.509) (-1630.917) [-1605.989] (-1645.457) -- 0:05:23
743000 -- [-1608.963] (-1616.723) (-1626.440) (-1612.782) * [-1611.874] (-1625.341) (-1620.221) (-1624.342) -- 0:05:21
744000 -- [-1612.308] (-1630.715) (-1627.979) (-1623.019) * (-1633.154) [-1610.943] (-1616.976) (-1605.472) -- 0:05:20
745000 -- (-1606.101) (-1622.175) [-1606.450] (-1620.963) * (-1615.580) (-1606.520) [-1612.660] (-1612.418) -- 0:05:19
Average standard deviation of split frequencies: 0.011468
746000 -- [-1610.582] (-1623.295) (-1605.257) (-1628.031) * (-1619.355) (-1620.913) [-1622.692] (-1628.784) -- 0:05:17
747000 -- (-1625.255) (-1637.662) [-1613.361] (-1611.235) * (-1631.899) [-1602.713] (-1606.487) (-1621.881) -- 0:05:16
748000 -- (-1629.854) [-1620.051] (-1630.564) (-1624.308) * (-1630.842) [-1601.743] (-1628.102) (-1610.823) -- 0:05:15
749000 -- (-1624.374) (-1628.009) [-1607.353] (-1614.217) * (-1621.084) [-1605.181] (-1614.079) (-1619.783) -- 0:05:13
750000 -- (-1624.213) (-1617.993) (-1613.299) [-1605.350] * [-1618.478] (-1613.645) (-1625.204) (-1624.295) -- 0:05:12
Average standard deviation of split frequencies: 0.011118
751000 -- [-1611.541] (-1613.932) (-1618.772) (-1613.853) * (-1620.328) (-1614.109) [-1619.358] (-1635.170) -- 0:05:11
752000 -- (-1647.574) [-1616.499] (-1616.629) (-1614.966) * (-1621.902) (-1609.307) [-1595.424] (-1610.489) -- 0:05:10
753000 -- (-1607.846) (-1605.532) (-1626.797) [-1607.018] * (-1616.399) (-1616.071) [-1594.643] (-1622.794) -- 0:05:08
754000 -- (-1627.151) [-1603.770] (-1614.785) (-1614.507) * (-1616.672) (-1625.092) [-1600.323] (-1633.708) -- 0:05:07
755000 -- (-1614.256) [-1624.343] (-1611.271) (-1633.197) * (-1632.189) (-1623.208) [-1598.130] (-1627.321) -- 0:05:06
Average standard deviation of split frequencies: 0.011247
756000 -- (-1609.643) (-1634.798) (-1608.023) [-1620.563] * (-1619.904) (-1612.570) [-1622.683] (-1642.524) -- 0:05:04
757000 -- (-1605.557) [-1622.277] (-1628.660) (-1621.744) * (-1630.005) (-1615.377) (-1600.613) [-1619.566] -- 0:05:03
758000 -- (-1614.811) (-1608.770) [-1610.686] (-1621.371) * (-1608.969) (-1614.895) (-1609.717) [-1619.509] -- 0:05:02
759000 -- (-1622.840) [-1603.703] (-1615.207) (-1611.611) * (-1607.815) (-1609.584) (-1624.670) [-1601.744] -- 0:05:01
760000 -- (-1642.056) (-1623.271) [-1604.228] (-1615.065) * (-1606.371) (-1603.179) [-1616.434] (-1637.493) -- 0:05:00
Average standard deviation of split frequencies: 0.010948
761000 -- (-1608.904) (-1621.237) (-1631.134) [-1606.788] * (-1616.421) (-1635.849) (-1606.840) [-1604.463] -- 0:04:58
762000 -- [-1605.664] (-1621.611) (-1622.795) (-1611.466) * (-1608.353) (-1615.430) (-1623.044) [-1615.648] -- 0:04:57
763000 -- (-1620.739) (-1619.968) [-1618.076] (-1624.459) * (-1610.318) [-1602.176] (-1634.207) (-1609.969) -- 0:04:56
764000 -- [-1601.092] (-1616.948) (-1614.043) (-1618.140) * [-1609.013] (-1619.104) (-1624.109) (-1633.780) -- 0:04:55
765000 -- (-1606.953) [-1603.641] (-1623.834) (-1626.315) * (-1625.529) (-1606.226) [-1596.181] (-1633.816) -- 0:04:54
Average standard deviation of split frequencies: 0.011283
766000 -- (-1616.724) (-1611.246) [-1613.153] (-1637.121) * (-1612.641) (-1621.836) [-1596.697] (-1620.379) -- 0:04:53
767000 -- [-1611.744] (-1611.596) (-1622.532) (-1603.444) * (-1624.018) (-1624.284) [-1606.401] (-1613.370) -- 0:04:52
768000 -- (-1613.740) (-1613.402) (-1625.237) [-1601.917] * (-1602.738) (-1625.178) (-1609.974) [-1617.944] -- 0:04:51
769000 -- [-1602.706] (-1623.026) (-1618.538) (-1618.207) * [-1595.782] (-1621.125) (-1622.143) (-1622.773) -- 0:04:49
770000 -- [-1607.843] (-1622.253) (-1625.202) (-1619.199) * [-1610.831] (-1617.140) (-1611.222) (-1613.690) -- 0:04:48
Average standard deviation of split frequencies: 0.012321
771000 -- (-1602.032) (-1616.414) [-1610.181] (-1617.587) * (-1623.062) (-1622.485) [-1604.340] (-1623.959) -- 0:04:47
772000 -- (-1607.890) (-1604.203) (-1617.551) [-1621.528] * (-1627.906) (-1625.624) [-1612.526] (-1619.934) -- 0:04:46
773000 -- (-1612.576) (-1611.302) (-1623.105) [-1613.630] * (-1623.728) (-1632.953) (-1630.202) [-1609.123] -- 0:04:45
774000 -- (-1620.586) [-1606.953] (-1622.844) (-1625.188) * [-1613.915] (-1632.306) (-1634.768) (-1609.428) -- 0:04:44
775000 -- (-1621.393) (-1621.030) (-1614.080) [-1614.408] * (-1599.324) (-1620.644) (-1638.236) [-1605.461] -- 0:04:43
Average standard deviation of split frequencies: 0.011925
776000 -- [-1610.765] (-1620.064) (-1636.891) (-1623.503) * (-1610.258) [-1613.910] (-1626.831) (-1604.065) -- 0:04:42
777000 -- [-1617.744] (-1613.084) (-1622.361) (-1624.212) * (-1616.672) (-1617.623) (-1610.743) [-1609.058] -- 0:04:40
778000 -- (-1626.732) [-1605.595] (-1614.753) (-1609.762) * (-1625.527) (-1620.514) (-1619.379) [-1613.087] -- 0:04:39
779000 -- (-1618.417) [-1614.831] (-1617.745) (-1625.190) * (-1630.041) (-1617.032) [-1612.298] (-1621.475) -- 0:04:38
780000 -- (-1625.882) (-1615.124) [-1624.831] (-1619.921) * (-1626.574) [-1617.288] (-1607.557) (-1609.954) -- 0:04:37
Average standard deviation of split frequencies: 0.012010
781000 -- (-1608.700) (-1607.718) [-1613.384] (-1618.125) * (-1634.591) (-1607.875) [-1603.853] (-1601.602) -- 0:04:35
782000 -- (-1616.096) [-1609.957] (-1614.492) (-1613.671) * (-1632.978) (-1621.020) (-1626.642) [-1611.434] -- 0:04:34
783000 -- (-1619.998) [-1611.720] (-1613.883) (-1612.761) * (-1634.207) (-1618.909) (-1613.018) [-1607.391] -- 0:04:33
784000 -- (-1626.057) (-1606.251) (-1606.172) [-1603.523] * (-1601.236) (-1621.031) (-1629.417) [-1604.441] -- 0:04:31
785000 -- (-1612.917) (-1602.806) (-1621.497) [-1614.571] * (-1613.958) (-1604.826) (-1642.340) [-1607.932] -- 0:04:30
Average standard deviation of split frequencies: 0.011684
786000 -- [-1608.352] (-1614.389) (-1622.237) (-1614.967) * [-1608.656] (-1618.313) (-1619.772) (-1621.824) -- 0:04:29
787000 -- (-1619.185) (-1611.400) [-1608.164] (-1606.721) * (-1620.193) (-1623.350) (-1619.432) [-1607.144] -- 0:04:28
788000 -- (-1616.188) (-1607.817) [-1603.792] (-1615.280) * (-1641.831) [-1633.418] (-1623.106) (-1616.984) -- 0:04:26
789000 -- (-1630.467) [-1612.495] (-1613.521) (-1629.482) * (-1628.090) (-1634.229) [-1606.325] (-1628.875) -- 0:04:25
790000 -- (-1620.551) [-1605.896] (-1602.211) (-1630.685) * (-1629.855) (-1630.358) (-1605.580) [-1602.424] -- 0:04:24
Average standard deviation of split frequencies: 0.011196
791000 -- (-1616.162) (-1610.480) (-1605.138) [-1621.964] * [-1601.825] (-1618.029) (-1600.668) (-1607.649) -- 0:04:22
792000 -- (-1604.224) [-1609.852] (-1614.953) (-1625.346) * (-1608.010) (-1619.869) [-1605.147] (-1615.532) -- 0:04:21
793000 -- [-1606.928] (-1613.283) (-1614.562) (-1607.738) * [-1606.358] (-1626.337) (-1629.005) (-1623.648) -- 0:04:20
794000 -- (-1623.818) (-1630.769) (-1616.152) [-1612.159] * (-1626.438) [-1617.475] (-1614.703) (-1622.830) -- 0:04:18
795000 -- (-1620.473) (-1627.483) [-1603.267] (-1614.885) * (-1609.815) (-1613.181) (-1621.205) [-1604.095] -- 0:04:17
Average standard deviation of split frequencies: 0.011515
796000 -- (-1618.024) (-1630.125) (-1625.267) [-1608.652] * (-1631.700) (-1620.760) (-1614.268) [-1603.712] -- 0:04:16
797000 -- (-1603.529) (-1632.918) (-1615.833) [-1612.256] * (-1611.478) (-1609.443) (-1631.990) [-1604.779] -- 0:04:14
798000 -- (-1613.107) (-1639.655) [-1597.925] (-1621.615) * (-1610.925) (-1643.608) (-1628.926) [-1615.818] -- 0:04:13
799000 -- (-1604.555) [-1610.298] (-1616.210) (-1635.752) * [-1606.490] (-1623.383) (-1635.068) (-1625.059) -- 0:04:12
800000 -- (-1613.870) (-1615.891) [-1616.618] (-1628.412) * (-1624.538) (-1626.232) (-1611.211) [-1611.918] -- 0:04:11
Average standard deviation of split frequencies: 0.011099
801000 -- (-1622.643) (-1619.214) [-1613.453] (-1626.004) * (-1619.611) (-1628.127) [-1602.713] (-1624.984) -- 0:04:09
802000 -- (-1618.108) [-1611.198] (-1616.185) (-1613.178) * (-1620.794) (-1636.909) [-1606.248] (-1616.218) -- 0:04:08
803000 -- (-1638.293) [-1597.439] (-1622.318) (-1606.327) * (-1627.032) (-1626.492) [-1605.441] (-1630.105) -- 0:04:07
804000 -- (-1620.555) (-1620.559) (-1605.273) [-1613.260] * (-1617.289) (-1612.480) [-1603.766] (-1627.763) -- 0:04:05
805000 -- (-1621.557) [-1628.753] (-1617.644) (-1623.387) * (-1631.816) [-1611.170] (-1613.085) (-1604.397) -- 0:04:04
Average standard deviation of split frequencies: 0.010939
806000 -- [-1609.368] (-1623.625) (-1609.982) (-1620.387) * (-1636.010) [-1610.953] (-1617.439) (-1617.406) -- 0:04:03
807000 -- (-1614.395) (-1623.471) (-1618.765) [-1605.590] * (-1619.576) (-1610.833) [-1610.513] (-1625.593) -- 0:04:01
808000 -- [-1615.022] (-1630.221) (-1626.255) (-1620.729) * (-1608.613) [-1605.954] (-1614.962) (-1629.198) -- 0:04:00
809000 -- (-1623.849) (-1600.923) [-1622.928] (-1633.245) * (-1628.779) [-1600.129] (-1619.201) (-1621.842) -- 0:03:59
810000 -- [-1612.279] (-1603.611) (-1621.756) (-1625.467) * (-1642.083) (-1607.584) [-1609.001] (-1634.964) -- 0:03:58
Average standard deviation of split frequencies: 0.011264
811000 -- (-1615.176) [-1605.625] (-1624.111) (-1630.071) * (-1630.589) [-1611.762] (-1601.454) (-1612.717) -- 0:03:56
812000 -- (-1609.823) (-1618.274) (-1639.192) [-1614.642] * (-1622.681) [-1604.012] (-1607.553) (-1611.241) -- 0:03:55
813000 -- (-1622.146) [-1603.108] (-1616.869) (-1618.777) * (-1615.501) (-1605.399) [-1611.020] (-1623.898) -- 0:03:54
814000 -- (-1631.835) [-1600.754] (-1606.741) (-1630.183) * (-1632.244) [-1610.818] (-1612.741) (-1607.700) -- 0:03:52
815000 -- (-1607.791) [-1618.796] (-1607.929) (-1627.234) * (-1631.235) (-1628.155) [-1610.018] (-1615.159) -- 0:03:51
Average standard deviation of split frequencies: 0.011430
816000 -- [-1607.038] (-1604.288) (-1617.926) (-1629.361) * (-1619.730) (-1631.295) [-1605.382] (-1614.104) -- 0:03:50
817000 -- (-1620.090) (-1614.311) [-1612.030] (-1612.278) * (-1623.583) [-1613.691] (-1615.782) (-1617.436) -- 0:03:48
818000 -- (-1624.739) (-1624.834) (-1624.729) [-1614.002] * (-1609.118) (-1644.942) (-1610.874) [-1609.217] -- 0:03:47
819000 -- [-1606.007] (-1629.706) (-1616.258) (-1620.053) * (-1620.975) [-1612.443] (-1608.110) (-1622.503) -- 0:03:46
820000 -- [-1604.286] (-1620.722) (-1631.207) (-1643.424) * (-1614.444) (-1612.020) [-1609.720] (-1612.232) -- 0:03:45
Average standard deviation of split frequencies: 0.011020
821000 -- [-1614.600] (-1617.360) (-1632.096) (-1620.007) * [-1606.136] (-1617.777) (-1619.911) (-1618.181) -- 0:03:43
822000 -- [-1610.379] (-1633.373) (-1636.026) (-1628.056) * [-1612.645] (-1614.939) (-1614.979) (-1623.586) -- 0:03:42
823000 -- (-1625.227) (-1620.745) (-1624.342) [-1620.893] * (-1608.850) (-1631.915) [-1611.713] (-1611.192) -- 0:03:41
824000 -- [-1621.943] (-1627.179) (-1619.627) (-1630.195) * [-1621.111] (-1627.949) (-1607.166) (-1617.413) -- 0:03:39
825000 -- [-1613.837] (-1623.335) (-1622.481) (-1629.616) * [-1605.810] (-1625.359) (-1602.151) (-1644.992) -- 0:03:38
Average standard deviation of split frequencies: 0.011287
826000 -- [-1617.657] (-1639.122) (-1618.735) (-1616.983) * (-1628.817) (-1609.022) [-1612.188] (-1634.001) -- 0:03:37
827000 -- (-1619.124) (-1620.555) (-1615.519) [-1615.871] * (-1618.150) [-1613.134] (-1618.477) (-1624.215) -- 0:03:35
828000 -- (-1629.831) (-1628.404) [-1614.589] (-1621.737) * (-1625.657) (-1609.094) [-1600.445] (-1628.853) -- 0:03:34
829000 -- [-1607.741] (-1623.668) (-1624.044) (-1627.758) * (-1615.441) [-1603.396] (-1620.816) (-1632.199) -- 0:03:33
830000 -- [-1605.586] (-1604.234) (-1621.045) (-1632.052) * [-1602.260] (-1622.947) (-1619.618) (-1628.858) -- 0:03:31
Average standard deviation of split frequencies: 0.011035
831000 -- (-1620.616) (-1618.789) [-1601.160] (-1625.849) * (-1617.056) (-1617.735) (-1642.923) [-1615.990] -- 0:03:30
832000 -- (-1606.367) [-1604.169] (-1629.585) (-1627.917) * [-1611.724] (-1622.802) (-1623.760) (-1616.783) -- 0:03:29
833000 -- (-1612.804) [-1606.337] (-1632.753) (-1629.337) * (-1609.270) (-1635.910) [-1602.724] (-1607.594) -- 0:03:28
834000 -- (-1607.781) [-1628.862] (-1625.191) (-1615.741) * (-1614.684) [-1613.098] (-1614.658) (-1640.487) -- 0:03:26
835000 -- [-1604.716] (-1624.660) (-1635.772) (-1627.973) * [-1622.200] (-1623.405) (-1609.025) (-1626.003) -- 0:03:25
Average standard deviation of split frequencies: 0.010814
836000 -- [-1612.252] (-1631.931) (-1624.592) (-1611.974) * (-1626.658) [-1609.858] (-1614.378) (-1640.546) -- 0:03:24
837000 -- (-1619.188) (-1635.103) (-1632.410) [-1610.547] * (-1621.495) (-1621.928) [-1608.266] (-1632.352) -- 0:03:22
838000 -- (-1618.614) [-1614.856] (-1613.922) (-1607.225) * [-1618.967] (-1614.276) (-1625.107) (-1628.503) -- 0:03:21
839000 -- (-1608.618) (-1624.684) (-1609.871) [-1611.831] * (-1631.028) (-1623.630) [-1604.456] (-1635.630) -- 0:03:20
840000 -- (-1619.698) [-1614.533] (-1633.606) (-1608.496) * (-1631.524) (-1610.938) [-1611.980] (-1627.276) -- 0:03:19
Average standard deviation of split frequencies: 0.010895
841000 -- (-1619.341) (-1623.096) (-1622.450) [-1615.182] * (-1650.893) (-1635.628) [-1604.886] (-1610.110) -- 0:03:17
842000 -- (-1646.358) (-1613.471) [-1618.517] (-1610.835) * (-1639.572) [-1619.012] (-1606.614) (-1636.030) -- 0:03:16
843000 -- (-1615.918) (-1609.867) (-1618.216) [-1623.767] * (-1638.086) (-1622.884) (-1610.856) [-1620.718] -- 0:03:15
844000 -- (-1638.716) [-1615.407] (-1619.694) (-1634.473) * (-1623.834) (-1612.565) (-1622.529) [-1614.996] -- 0:03:14
845000 -- [-1609.780] (-1595.039) (-1606.767) (-1633.338) * (-1610.477) (-1620.808) (-1633.342) [-1607.149] -- 0:03:12
Average standard deviation of split frequencies: 0.011144
846000 -- (-1607.520) [-1600.252] (-1603.524) (-1635.101) * [-1607.860] (-1606.537) (-1621.175) (-1617.094) -- 0:03:11
847000 -- (-1649.174) [-1601.475] (-1616.647) (-1627.809) * [-1604.006] (-1603.345) (-1622.147) (-1631.300) -- 0:03:10
848000 -- (-1634.468) (-1599.802) (-1634.060) [-1626.120] * (-1614.499) [-1607.052] (-1615.787) (-1606.166) -- 0:03:08
849000 -- (-1626.121) (-1604.604) [-1607.406] (-1627.246) * (-1624.723) (-1606.579) (-1616.116) [-1606.296] -- 0:03:07
850000 -- [-1619.705] (-1620.552) (-1620.772) (-1618.920) * (-1605.137) (-1628.431) (-1622.918) [-1607.187] -- 0:03:06
Average standard deviation of split frequencies: 0.011412
851000 -- (-1617.124) (-1620.196) (-1621.906) [-1624.491] * (-1604.400) (-1625.315) (-1603.842) [-1598.086] -- 0:03:05
852000 -- [-1604.683] (-1612.640) (-1644.010) (-1619.666) * (-1611.194) (-1630.298) (-1630.680) [-1600.559] -- 0:03:03
853000 -- (-1615.077) [-1614.732] (-1635.684) (-1610.604) * [-1606.142] (-1633.203) (-1629.943) (-1614.985) -- 0:03:02
854000 -- (-1624.101) (-1627.627) (-1607.192) [-1607.059] * (-1622.976) [-1604.179] (-1616.411) (-1619.426) -- 0:03:01
855000 -- (-1622.480) (-1625.233) [-1609.944] (-1620.385) * (-1621.933) [-1608.189] (-1613.951) (-1605.131) -- 0:02:59
Average standard deviation of split frequencies: 0.011073
856000 -- (-1618.965) (-1623.305) [-1603.580] (-1616.231) * [-1610.644] (-1618.638) (-1619.789) (-1616.404) -- 0:02:58
857000 -- (-1604.220) (-1604.370) [-1603.894] (-1606.878) * (-1635.815) [-1606.393] (-1624.527) (-1609.029) -- 0:02:57
858000 -- [-1601.643] (-1602.866) (-1631.051) (-1628.072) * (-1631.495) [-1600.542] (-1628.481) (-1621.954) -- 0:02:56
859000 -- [-1605.617] (-1604.537) (-1612.638) (-1629.768) * (-1630.148) [-1619.838] (-1638.008) (-1614.677) -- 0:02:54
860000 -- [-1604.851] (-1603.654) (-1630.895) (-1635.901) * (-1629.096) (-1611.443) [-1607.354] (-1621.830) -- 0:02:53
Average standard deviation of split frequencies: 0.010857
861000 -- (-1620.547) [-1605.320] (-1622.615) (-1619.138) * (-1634.159) [-1615.178] (-1602.906) (-1636.649) -- 0:02:52
862000 -- (-1616.268) [-1603.987] (-1614.211) (-1620.574) * (-1627.980) [-1608.097] (-1620.550) (-1615.090) -- 0:02:51
863000 -- (-1639.408) [-1607.393] (-1622.792) (-1624.930) * (-1632.868) [-1605.379] (-1627.087) (-1620.772) -- 0:02:49
864000 -- (-1630.459) [-1611.571] (-1610.084) (-1618.873) * (-1610.128) [-1608.795] (-1621.972) (-1618.147) -- 0:02:48
865000 -- (-1618.696) [-1604.286] (-1614.605) (-1623.716) * (-1608.955) [-1611.983] (-1624.459) (-1613.821) -- 0:02:47
Average standard deviation of split frequencies: 0.010401
866000 -- (-1631.569) (-1616.969) [-1619.138] (-1612.578) * (-1598.969) [-1614.656] (-1621.006) (-1609.744) -- 0:02:46
867000 -- (-1621.389) (-1629.521) (-1626.298) [-1610.054] * (-1611.676) (-1614.773) (-1622.366) [-1607.080] -- 0:02:44
868000 -- (-1613.336) (-1623.592) (-1628.724) [-1613.387] * (-1614.402) [-1605.038] (-1642.008) (-1624.259) -- 0:02:43
869000 -- (-1632.755) (-1622.736) [-1609.279] (-1624.722) * (-1625.966) (-1606.842) (-1633.120) [-1607.208] -- 0:02:42
870000 -- (-1621.891) [-1599.139] (-1614.039) (-1626.239) * (-1606.463) [-1610.625] (-1620.050) (-1610.501) -- 0:02:40
Average standard deviation of split frequencies: 0.010732
871000 -- [-1617.123] (-1614.301) (-1619.289) (-1615.010) * [-1607.734] (-1618.871) (-1637.150) (-1632.949) -- 0:02:39
872000 -- (-1623.386) [-1604.708] (-1623.768) (-1622.299) * [-1607.540] (-1618.493) (-1615.553) (-1628.430) -- 0:02:38
873000 -- (-1628.110) (-1611.139) (-1612.346) [-1610.349] * (-1605.927) [-1615.641] (-1630.976) (-1640.309) -- 0:02:37
874000 -- (-1622.566) [-1605.505] (-1619.014) (-1625.355) * (-1606.029) [-1617.181] (-1623.877) (-1644.447) -- 0:02:36
875000 -- (-1625.901) (-1620.127) [-1610.282] (-1628.817) * [-1605.386] (-1619.375) (-1620.797) (-1643.559) -- 0:02:35
Average standard deviation of split frequencies: 0.010916
876000 -- (-1621.190) [-1608.305] (-1619.811) (-1618.677) * (-1614.194) (-1633.149) [-1616.076] (-1623.744) -- 0:02:33
877000 -- (-1630.731) (-1620.180) (-1625.787) [-1627.577] * (-1622.828) (-1621.802) [-1615.285] (-1630.094) -- 0:02:32
878000 -- (-1615.116) (-1630.254) (-1628.984) [-1624.077] * (-1641.855) (-1603.698) [-1607.935] (-1628.605) -- 0:02:31
879000 -- [-1608.463] (-1612.495) (-1617.522) (-1635.592) * (-1624.369) (-1626.682) (-1603.267) [-1620.246] -- 0:02:30
880000 -- (-1619.150) [-1610.496] (-1613.333) (-1622.551) * (-1644.453) (-1614.071) (-1613.330) [-1623.134] -- 0:02:29
Average standard deviation of split frequencies: 0.011031
881000 -- (-1637.088) (-1611.239) [-1629.441] (-1622.639) * (-1628.132) (-1610.324) [-1608.535] (-1628.482) -- 0:02:27
882000 -- (-1617.918) [-1629.659] (-1624.064) (-1619.098) * (-1623.757) [-1605.067] (-1607.096) (-1620.155) -- 0:02:26
883000 -- [-1614.599] (-1626.272) (-1610.942) (-1606.002) * (-1613.812) (-1623.281) [-1607.147] (-1623.888) -- 0:02:25
884000 -- [-1627.140] (-1627.904) (-1624.945) (-1622.149) * (-1607.791) [-1601.851] (-1612.694) (-1638.559) -- 0:02:24
885000 -- (-1611.883) [-1608.977] (-1645.615) (-1620.717) * [-1602.883] (-1621.746) (-1620.343) (-1618.143) -- 0:02:23
Average standard deviation of split frequencies: 0.011528
886000 -- (-1624.376) [-1602.457] (-1622.108) (-1631.309) * [-1613.663] (-1610.925) (-1615.332) (-1629.241) -- 0:02:21
887000 -- [-1608.984] (-1606.682) (-1608.365) (-1643.764) * [-1611.767] (-1617.682) (-1621.623) (-1624.750) -- 0:02:20
888000 -- (-1621.565) [-1603.607] (-1607.384) (-1619.320) * (-1623.389) (-1612.614) (-1605.675) [-1619.867] -- 0:02:19
889000 -- (-1611.074) [-1607.973] (-1619.867) (-1628.185) * (-1628.834) (-1609.486) [-1613.655] (-1630.866) -- 0:02:18
890000 -- (-1629.413) (-1611.752) [-1609.626] (-1630.095) * (-1628.085) (-1610.200) [-1608.388] (-1625.212) -- 0:02:17
Average standard deviation of split frequencies: 0.010869
891000 -- (-1619.176) (-1604.044) [-1604.964] (-1610.873) * (-1621.426) (-1634.275) [-1614.945] (-1617.648) -- 0:02:16
892000 -- [-1617.777] (-1608.590) (-1615.146) (-1612.528) * (-1639.972) (-1625.786) (-1608.471) [-1625.198] -- 0:02:14
893000 -- (-1625.588) (-1640.854) [-1615.931] (-1618.619) * (-1649.701) (-1609.042) [-1598.794] (-1603.805) -- 0:02:13
894000 -- [-1614.634] (-1623.386) (-1619.572) (-1622.759) * (-1627.771) (-1625.855) (-1610.469) [-1600.862] -- 0:02:12
895000 -- [-1598.114] (-1624.053) (-1627.087) (-1617.857) * (-1635.417) (-1624.134) (-1611.654) [-1610.211] -- 0:02:11
Average standard deviation of split frequencies: 0.010579
896000 -- [-1611.416] (-1615.290) (-1632.261) (-1626.776) * (-1619.021) (-1628.814) (-1623.247) [-1604.636] -- 0:02:10
897000 -- [-1611.025] (-1634.318) (-1614.749) (-1638.147) * [-1606.528] (-1623.907) (-1606.584) (-1608.839) -- 0:02:08
898000 -- [-1615.322] (-1617.904) (-1624.082) (-1623.833) * [-1598.231] (-1617.736) (-1625.616) (-1611.987) -- 0:02:07
899000 -- [-1609.918] (-1622.926) (-1622.666) (-1625.011) * [-1615.691] (-1616.200) (-1633.985) (-1610.522) -- 0:02:06
900000 -- (-1623.164) [-1616.347] (-1614.410) (-1629.477) * (-1606.178) (-1627.907) (-1624.179) [-1608.936] -- 0:02:05
Average standard deviation of split frequencies: 0.010599
901000 -- [-1617.772] (-1607.401) (-1620.810) (-1619.168) * [-1609.692] (-1625.391) (-1623.282) (-1612.999) -- 0:02:03
902000 -- (-1626.013) (-1615.036) [-1616.523] (-1617.967) * (-1598.406) (-1631.168) (-1641.629) [-1603.621] -- 0:02:02
903000 -- [-1610.068] (-1621.827) (-1616.519) (-1627.537) * (-1611.936) (-1641.470) (-1609.697) [-1601.562] -- 0:02:01
904000 -- [-1596.628] (-1629.883) (-1614.878) (-1628.091) * (-1612.932) (-1624.956) [-1605.842] (-1618.394) -- 0:02:00
905000 -- (-1609.207) (-1625.706) (-1618.605) [-1614.511] * (-1621.659) (-1621.566) [-1601.020] (-1611.806) -- 0:01:58
Average standard deviation of split frequencies: 0.010871
906000 -- (-1619.250) (-1624.711) (-1620.619) [-1610.386] * [-1603.492] (-1613.706) (-1611.661) (-1630.966) -- 0:01:57
907000 -- [-1614.509] (-1634.371) (-1604.966) (-1628.595) * (-1613.891) (-1609.324) [-1606.171] (-1643.081) -- 0:01:56
908000 -- (-1617.796) (-1620.648) (-1612.218) [-1616.564] * [-1610.786] (-1610.085) (-1632.476) (-1621.845) -- 0:01:54
909000 -- (-1628.557) (-1626.865) [-1618.037] (-1613.504) * (-1626.024) (-1614.400) (-1626.366) [-1606.644] -- 0:01:53
910000 -- (-1617.747) [-1612.197] (-1627.563) (-1620.849) * (-1623.068) (-1621.198) (-1627.974) [-1616.765] -- 0:01:52
Average standard deviation of split frequencies: 0.011092
911000 -- [-1613.989] (-1608.353) (-1608.245) (-1622.247) * [-1606.165] (-1621.044) (-1629.586) (-1625.852) -- 0:01:51
912000 -- [-1598.222] (-1624.303) (-1603.245) (-1614.954) * (-1615.111) (-1613.911) (-1625.452) [-1605.878] -- 0:01:49
913000 -- [-1609.406] (-1622.147) (-1606.279) (-1615.403) * [-1608.210] (-1614.489) (-1613.746) (-1614.080) -- 0:01:48
914000 -- [-1613.613] (-1615.941) (-1621.770) (-1615.587) * (-1616.499) (-1619.841) (-1632.675) [-1630.363] -- 0:01:47
915000 -- (-1624.886) (-1602.566) (-1605.097) [-1601.033] * (-1628.672) (-1633.785) (-1619.449) [-1621.395] -- 0:01:45
Average standard deviation of split frequencies: 0.010991
916000 -- (-1630.477) (-1622.889) [-1615.824] (-1605.652) * [-1612.896] (-1626.280) (-1632.964) (-1613.871) -- 0:01:44
917000 -- (-1616.647) [-1610.691] (-1639.284) (-1621.880) * (-1608.620) (-1628.224) [-1628.355] (-1614.607) -- 0:01:43
918000 -- (-1603.983) [-1609.377] (-1622.243) (-1623.139) * (-1629.877) (-1608.300) (-1621.152) [-1614.700] -- 0:01:42
919000 -- (-1617.404) [-1604.030] (-1609.165) (-1622.017) * [-1608.031] (-1605.893) (-1610.830) (-1617.219) -- 0:01:41
920000 -- (-1626.450) (-1614.509) (-1615.304) [-1623.942] * (-1626.734) [-1601.751] (-1613.646) (-1624.955) -- 0:01:39
Average standard deviation of split frequencies: 0.010753
921000 -- [-1625.766] (-1610.151) (-1613.666) (-1627.563) * (-1630.377) (-1627.672) (-1605.084) [-1603.240] -- 0:01:38
922000 -- (-1626.545) [-1607.076] (-1612.557) (-1618.358) * (-1628.137) (-1628.658) (-1610.678) [-1614.740] -- 0:01:37
923000 -- (-1627.543) (-1603.077) (-1621.390) [-1614.933] * (-1641.394) (-1618.879) (-1619.037) [-1607.483] -- 0:01:35
924000 -- [-1608.677] (-1608.894) (-1644.530) (-1624.667) * (-1636.191) [-1624.095] (-1631.987) (-1614.566) -- 0:01:34
925000 -- (-1621.931) [-1606.590] (-1610.160) (-1632.206) * [-1628.554] (-1605.448) (-1639.909) (-1610.775) -- 0:01:33
Average standard deviation of split frequencies: 0.011000
926000 -- [-1609.323] (-1616.441) (-1612.272) (-1634.708) * (-1628.553) (-1605.067) (-1622.456) [-1603.582] -- 0:01:32
927000 -- (-1607.610) [-1604.722] (-1621.537) (-1615.366) * (-1623.380) (-1635.804) [-1607.876] (-1622.232) -- 0:01:30
928000 -- [-1606.147] (-1608.616) (-1621.788) (-1618.564) * (-1607.948) (-1646.945) (-1602.662) [-1618.608] -- 0:01:29
929000 -- [-1609.924] (-1617.771) (-1616.719) (-1611.891) * [-1607.232] (-1619.366) (-1610.231) (-1619.399) -- 0:01:28
930000 -- [-1591.602] (-1627.581) (-1618.259) (-1603.901) * [-1608.212] (-1615.731) (-1606.816) (-1633.062) -- 0:01:27
Average standard deviation of split frequencies: 0.010975
931000 -- (-1612.629) (-1612.271) (-1638.126) [-1606.829] * (-1613.964) (-1613.199) [-1607.395] (-1627.627) -- 0:01:25
932000 -- (-1609.529) (-1612.751) (-1620.813) [-1606.273] * (-1620.477) [-1616.480] (-1620.214) (-1615.513) -- 0:01:24
933000 -- (-1623.125) [-1615.209] (-1614.053) (-1614.441) * [-1603.895] (-1602.706) (-1624.804) (-1619.636) -- 0:01:23
934000 -- (-1632.637) [-1610.128] (-1614.257) (-1625.964) * (-1619.990) [-1600.075] (-1613.769) (-1612.179) -- 0:01:22
935000 -- (-1605.561) (-1625.816) [-1613.856] (-1616.373) * (-1619.166) [-1604.936] (-1616.855) (-1605.157) -- 0:01:20
Average standard deviation of split frequencies: 0.010632
936000 -- (-1619.528) [-1607.321] (-1619.340) (-1603.543) * (-1640.472) (-1623.114) [-1617.018] (-1612.771) -- 0:01:19
937000 -- [-1609.227] (-1625.371) (-1633.274) (-1605.765) * (-1619.302) [-1618.558] (-1611.222) (-1620.520) -- 0:01:18
938000 -- [-1599.608] (-1620.540) (-1615.090) (-1608.087) * (-1624.273) (-1617.678) [-1610.369] (-1626.275) -- 0:01:17
939000 -- [-1607.154] (-1622.189) (-1631.956) (-1592.291) * (-1624.894) (-1622.416) [-1606.075] (-1630.243) -- 0:01:15
940000 -- (-1617.789) (-1612.831) (-1620.676) [-1611.393] * (-1611.267) (-1618.480) [-1622.023] (-1627.764) -- 0:01:14
Average standard deviation of split frequencies: 0.010691
941000 -- (-1628.282) (-1623.014) (-1611.405) [-1609.364] * [-1608.277] (-1633.030) (-1626.343) (-1625.225) -- 0:01:13
942000 -- [-1611.905] (-1644.452) (-1617.940) (-1610.975) * [-1607.890] (-1627.569) (-1614.161) (-1624.800) -- 0:01:12
943000 -- [-1610.117] (-1628.746) (-1607.801) (-1621.433) * (-1605.931) [-1617.348] (-1646.391) (-1632.737) -- 0:01:10
944000 -- (-1604.573) (-1622.459) (-1599.201) [-1611.254] * (-1618.482) [-1605.214] (-1615.891) (-1621.815) -- 0:01:09
945000 -- [-1594.547] (-1617.377) (-1621.381) (-1624.222) * (-1611.813) [-1598.989] (-1642.294) (-1631.887) -- 0:01:08
Average standard deviation of split frequencies: 0.010391
946000 -- [-1603.148] (-1622.029) (-1618.839) (-1617.871) * (-1613.007) (-1603.320) [-1624.233] (-1629.631) -- 0:01:07
947000 -- (-1607.534) (-1627.416) [-1621.060] (-1609.207) * (-1616.359) (-1617.055) [-1604.573] (-1638.605) -- 0:01:05
948000 -- [-1602.200] (-1617.063) (-1617.865) (-1621.251) * (-1630.225) (-1603.140) [-1609.514] (-1619.428) -- 0:01:04
949000 -- [-1600.372] (-1624.306) (-1625.105) (-1609.415) * (-1637.983) (-1629.294) (-1614.430) [-1618.624] -- 0:01:03
950000 -- (-1608.491) [-1616.827] (-1628.647) (-1611.435) * (-1619.474) [-1613.077] (-1633.964) (-1623.614) -- 0:01:02
Average standard deviation of split frequencies: 0.010376
951000 -- (-1613.945) [-1604.077] (-1607.080) (-1623.429) * (-1617.728) [-1621.607] (-1607.600) (-1627.738) -- 0:01:00
952000 -- (-1626.266) [-1604.680] (-1621.783) (-1617.160) * [-1615.122] (-1637.321) (-1607.563) (-1616.894) -- 0:00:59
953000 -- (-1625.034) [-1615.005] (-1605.703) (-1610.757) * (-1620.814) (-1629.586) [-1610.295] (-1613.512) -- 0:00:58
954000 -- (-1622.338) [-1617.072] (-1621.051) (-1615.711) * (-1615.276) (-1650.062) (-1612.512) [-1608.904] -- 0:00:56
955000 -- [-1605.125] (-1625.721) (-1610.802) (-1613.638) * [-1612.601] (-1653.054) (-1617.912) (-1612.931) -- 0:00:55
Average standard deviation of split frequencies: 0.010593
956000 -- [-1604.888] (-1609.400) (-1624.217) (-1609.813) * [-1618.202] (-1636.861) (-1610.710) (-1611.251) -- 0:00:54
957000 -- [-1604.392] (-1629.816) (-1617.920) (-1623.701) * (-1617.940) (-1623.692) [-1605.663] (-1604.559) -- 0:00:53
958000 -- (-1625.672) (-1639.743) [-1611.632] (-1611.204) * (-1616.717) (-1619.535) [-1627.753] (-1617.431) -- 0:00:51
959000 -- (-1620.292) (-1631.631) (-1612.340) [-1607.556] * (-1623.812) (-1620.987) (-1618.453) [-1612.054] -- 0:00:50
960000 -- [-1618.043] (-1628.687) (-1624.194) (-1630.243) * (-1615.683) (-1630.246) (-1612.660) [-1612.030] -- 0:00:49
Average standard deviation of split frequencies: 0.010850
961000 -- (-1612.257) [-1602.940] (-1618.543) (-1619.398) * (-1604.535) (-1645.333) (-1622.730) [-1603.355] -- 0:00:48
962000 -- (-1625.462) [-1620.061] (-1618.719) (-1609.356) * (-1611.969) [-1604.370] (-1618.166) (-1626.269) -- 0:00:47
963000 -- [-1611.538] (-1607.298) (-1613.591) (-1614.163) * (-1625.552) [-1603.170] (-1621.506) (-1605.762) -- 0:00:45
964000 -- (-1615.647) [-1598.299] (-1614.817) (-1616.265) * (-1609.789) [-1610.875] (-1624.366) (-1621.480) -- 0:00:44
965000 -- [-1606.960] (-1617.323) (-1612.778) (-1612.457) * (-1602.191) [-1612.834] (-1624.441) (-1620.138) -- 0:00:43
Average standard deviation of split frequencies: 0.011332
966000 -- (-1607.626) [-1604.722] (-1612.298) (-1618.743) * (-1613.582) (-1638.104) (-1625.485) [-1621.891] -- 0:00:42
967000 -- [-1609.345] (-1628.296) (-1619.094) (-1604.757) * (-1621.777) (-1633.480) [-1604.569] (-1631.031) -- 0:00:40
968000 -- (-1605.139) (-1632.296) [-1595.954] (-1603.064) * [-1616.739] (-1624.252) (-1633.380) (-1634.806) -- 0:00:39
969000 -- (-1618.338) (-1613.753) (-1604.945) [-1609.897] * (-1615.618) (-1624.664) (-1629.419) [-1609.731] -- 0:00:38
970000 -- (-1627.209) (-1615.647) [-1617.226] (-1610.504) * (-1628.827) (-1630.852) [-1614.466] (-1610.802) -- 0:00:37
Average standard deviation of split frequencies: 0.011134
971000 -- (-1622.501) [-1615.649] (-1610.435) (-1613.523) * (-1615.574) (-1622.358) [-1608.213] (-1620.445) -- 0:00:35
972000 -- (-1609.919) [-1606.519] (-1613.098) (-1633.642) * (-1643.383) [-1614.265] (-1610.537) (-1608.639) -- 0:00:34
973000 -- [-1605.147] (-1613.460) (-1625.079) (-1649.269) * (-1633.688) (-1624.174) (-1619.993) [-1605.716] -- 0:00:33
974000 -- (-1616.184) (-1622.756) (-1640.816) [-1608.452] * (-1631.257) (-1628.825) [-1600.544] (-1604.925) -- 0:00:32
975000 -- (-1630.591) (-1615.560) (-1635.182) [-1610.895] * (-1624.852) (-1624.011) (-1608.639) [-1618.862] -- 0:00:30
Average standard deviation of split frequencies: 0.010557
976000 -- (-1630.987) (-1617.780) (-1626.858) [-1607.245] * (-1624.085) (-1610.041) (-1611.428) [-1606.721] -- 0:00:29
977000 -- (-1621.203) (-1636.087) (-1613.573) [-1610.649] * (-1627.102) (-1618.292) [-1599.470] (-1596.467) -- 0:00:28
978000 -- (-1603.743) (-1606.242) [-1602.130] (-1605.846) * (-1624.349) (-1621.986) (-1604.879) [-1617.350] -- 0:00:27
979000 -- (-1612.600) (-1616.073) [-1601.550] (-1605.575) * (-1624.619) (-1615.395) (-1601.581) [-1598.847] -- 0:00:25
980000 -- (-1617.310) (-1628.043) (-1611.708) [-1611.092] * (-1615.351) (-1625.404) [-1615.122] (-1607.774) -- 0:00:24
Average standard deviation of split frequencies: 0.010112
981000 -- (-1629.692) (-1629.034) (-1607.240) [-1601.837] * [-1609.561] (-1610.792) (-1609.335) (-1617.307) -- 0:00:23
982000 -- (-1621.313) (-1629.242) (-1616.532) [-1622.560] * [-1620.009] (-1614.363) (-1613.393) (-1644.413) -- 0:00:22
983000 -- (-1631.852) (-1631.819) [-1598.827] (-1623.719) * (-1613.555) [-1627.695] (-1619.799) (-1612.122) -- 0:00:20
984000 -- [-1624.374] (-1625.967) (-1606.539) (-1641.118) * (-1624.129) (-1616.714) (-1610.222) [-1603.111] -- 0:00:19
985000 -- (-1625.364) (-1611.570) [-1606.959] (-1619.399) * (-1623.488) (-1618.875) (-1625.302) [-1605.576] -- 0:00:18
Average standard deviation of split frequencies: 0.009491
986000 -- [-1617.700] (-1614.897) (-1611.483) (-1638.774) * (-1615.749) (-1623.078) (-1602.373) [-1609.504] -- 0:00:17
987000 -- (-1625.902) [-1599.828] (-1619.390) (-1615.217) * (-1617.319) (-1618.398) (-1611.034) [-1607.115] -- 0:00:16
988000 -- [-1609.594] (-1609.815) (-1624.974) (-1617.724) * (-1624.700) (-1608.302) [-1611.187] (-1609.837) -- 0:00:14
989000 -- (-1619.936) [-1598.584] (-1620.604) (-1608.643) * (-1625.076) (-1612.875) (-1618.754) [-1612.201] -- 0:00:13
990000 -- [-1602.482] (-1613.480) (-1617.060) (-1613.047) * [-1610.344] (-1604.747) (-1614.072) (-1613.446) -- 0:00:12
Average standard deviation of split frequencies: 0.009587
991000 -- [-1593.935] (-1611.898) (-1635.580) (-1622.430) * (-1616.139) (-1602.777) [-1611.805] (-1617.867) -- 0:00:11
992000 -- [-1607.976] (-1625.440) (-1631.079) (-1616.170) * (-1614.472) [-1609.517] (-1626.938) (-1630.294) -- 0:00:09
993000 -- [-1609.164] (-1610.743) (-1632.019) (-1616.973) * (-1634.289) (-1606.906) [-1602.480] (-1634.885) -- 0:00:08
994000 -- (-1609.379) (-1602.052) (-1622.181) [-1620.130] * (-1613.734) (-1618.331) [-1608.741] (-1622.085) -- 0:00:07
995000 -- [-1607.800] (-1617.353) (-1620.707) (-1624.542) * (-1643.616) (-1609.792) [-1603.943] (-1619.667) -- 0:00:06
Average standard deviation of split frequencies: 0.009676
996000 -- (-1627.368) (-1621.448) (-1611.931) [-1614.298] * (-1631.321) (-1621.219) [-1609.668] (-1624.686) -- 0:00:04
997000 -- (-1626.513) [-1616.295] (-1617.048) (-1612.142) * (-1623.565) (-1612.234) (-1628.319) [-1620.676] -- 0:00:03
998000 -- [-1610.457] (-1628.766) (-1608.059) (-1610.956) * (-1623.914) [-1608.535] (-1619.815) (-1624.329) -- 0:00:02
999000 -- (-1610.254) (-1620.018) (-1630.370) [-1612.941] * (-1629.745) [-1610.043] (-1608.286) (-1605.506) -- 0:00:01
1000000 -- (-1643.951) (-1626.254) [-1608.116] (-1604.918) * (-1641.116) (-1637.153) (-1614.713) [-1610.375] -- 0:00:00
Average standard deviation of split frequencies: 0.009369
Analysis completed in 20 mins 30 seconds
Analysis used 1228.69 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1589.12
Likelihood of best state for "cold" chain of run 2 was -1589.13
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
56.6 % ( 50 %) Dirichlet(Revmat{all})
72.8 % ( 57 %) Slider(Revmat{all})
27.8 % ( 19 %) Dirichlet(Pi{all})
29.9 % ( 23 %) Slider(Pi{all})
70.7 % ( 48 %) Multiplier(Alpha{1,2})
65.1 % ( 28 %) Multiplier(Alpha{3})
81.1 % ( 74 %) Slider(Pinvar{all})
50.3 % ( 56 %) ExtSPR(Tau{all},V{all})
45.7 % ( 45 %) ExtTBR(Tau{all},V{all})
57.7 % ( 55 %) NNI(Tau{all},V{all})
41.1 % ( 48 %) ParsSPR(Tau{all},V{all})
27.3 % ( 23 %) Multiplier(V{all})
71.3 % ( 76 %) Nodeslider(V{all})
25.7 % ( 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
57.6 % ( 41 %) Dirichlet(Revmat{all})
71.1 % ( 64 %) Slider(Revmat{all})
27.1 % ( 28 %) Dirichlet(Pi{all})
29.1 % ( 23 %) Slider(Pi{all})
70.0 % ( 53 %) Multiplier(Alpha{1,2})
65.4 % ( 34 %) Multiplier(Alpha{3})
80.0 % ( 60 %) Slider(Pinvar{all})
50.6 % ( 55 %) ExtSPR(Tau{all},V{all})
45.6 % ( 49 %) ExtTBR(Tau{all},V{all})
57.7 % ( 51 %) NNI(Tau{all},V{all})
41.1 % ( 31 %) ParsSPR(Tau{all},V{all})
27.3 % ( 28 %) Multiplier(V{all})
71.1 % ( 69 %) Nodeslider(V{all})
25.7 % ( 26 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.52 0.22 0.07
2 | 166538 0.55 0.24
3 | 167233 166686 0.57
4 | 167030 166453 166060
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.52 0.21 0.07
2 | 167350 0.54 0.23
3 | 166498 166818 0.56
4 | 166275 166741 166318
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)
+------------------------------------------------------------+ -1605.71
| 22 2 |
| 12 |
| 2 1 |
| 1 * 1 2 2 2 2 1 |
| 1 222 2 1 1 21 1 2 1 1 |
|22 1 21 * 1 1 1|
| 1 * * 2 12 22 1 2*2 2 1 |
| 1 1* 2 1 2 11 1 12 2|
| * 122 1 2 21 2 2 21 12 2 2 2 2 22 |
|1 2 1 1 1 1 * |
| 2 1 21 1 1 2 |
| 1 2 2 22 1 1 |
| 1 12 1 |
| 1 1 |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1614.73
^ ^
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 -1597.94 -1631.77
2 -1597.88 -1626.60
--------------------------------------
TOTAL -1597.91 -1631.08
--------------------------------------
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} 0.209584 0.000672 0.159976 0.260605 0.207728 712.79 1106.90 1.000
r(A<->C){all} 0.141028 0.001540 0.071792 0.221910 0.138815 513.84 557.94 1.000
r(A<->G){all} 0.200779 0.002161 0.111705 0.291271 0.197789 583.95 609.66 1.000
r(A<->T){all} 0.075992 0.000555 0.030503 0.120984 0.073421 861.54 921.14 1.000
r(C<->G){all} 0.065990 0.000999 0.014304 0.131858 0.062268 640.46 674.29 1.000
r(C<->T){all} 0.396777 0.002607 0.295763 0.496783 0.394717 553.08 598.70 1.000
r(G<->T){all} 0.119434 0.000905 0.060891 0.175061 0.117081 802.42 827.70 1.000
pi(A){all} 0.229424 0.000237 0.200886 0.260892 0.229206 1126.69 1177.43 1.000
pi(C){all} 0.195045 0.000220 0.167692 0.224765 0.194943 755.62 830.44 1.000
pi(G){all} 0.197214 0.000203 0.170236 0.224697 0.196959 915.12 991.74 1.000
pi(T){all} 0.378318 0.000315 0.343173 0.413175 0.378483 1156.69 1173.12 1.000
alpha{1,2} 0.838821 0.633646 0.000494 2.340800 0.605708 800.73 1001.44 1.000
alpha{3} 1.333005 1.033418 0.073511 3.307808 1.030137 1195.30 1261.90 1.000
pinvar{all} 0.308232 0.027115 0.000129 0.568187 0.313706 523.68 688.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C65
2 -- C325
3 -- C183
4 -- C182
5 -- C438
6 -- C229
7 -- C194
8 -- C292
9 -- C185
10 -- C657
11 -- C517
12 -- C337
13 -- C60
14 -- C258
15 -- C270
16 -- C367
17 -- C109
18 -- C111
19 -- C190
20 -- C266
21 -- C284
22 -- C7
23 -- C314
24 -- C562
25 -- C385
26 -- C129
27 -- C136
28 -- C533
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 -- .**.**************************
------------------------------------
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 2997 0.998334 0.002355 0.996669 1.000000 2
34 2992 0.996669 0.000942 0.996003 0.997335 2
35 2935 0.977682 0.007066 0.972685 0.982678 2
36 2748 0.915390 0.007537 0.910060 0.920720 2
37 2463 0.820453 0.018373 0.807462 0.833444 2
38 2417 0.805130 0.018373 0.792139 0.818121 2
39 2327 0.775150 0.006124 0.770819 0.779480 2
40 2148 0.715523 0.033919 0.691539 0.739507 2
41 1875 0.624584 0.018373 0.611592 0.637575 2
42 1169 0.389407 0.008009 0.383744 0.395070 2
43 1126 0.375083 0.017901 0.362425 0.387742 2
44 1069 0.356096 0.004240 0.353098 0.359094 2
45 1040 0.346436 0.008480 0.340440 0.352432 2
46 982 0.327115 0.010364 0.319787 0.334444 2
47 944 0.314457 0.003769 0.311792 0.317122 2
48 885 0.294803 0.015546 0.283811 0.305796 2
49 876 0.291805 0.001884 0.290473 0.293138 2
50 479 0.159560 0.006124 0.155230 0.163891 2
51 417 0.138907 0.008951 0.132578 0.145237 2
52 398 0.132578 0.012248 0.123917 0.141239 2
53 356 0.118588 0.008480 0.112592 0.124584 2
54 352 0.117255 0.023555 0.100600 0.133911 2
55 327 0.108927 0.008009 0.103264 0.114590 2
56 312 0.103931 0.000942 0.103264 0.104597 2
57 299 0.099600 0.001413 0.098601 0.100600 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.002492 0.000003 0.000040 0.006083 0.002070 1.001 2
length{all}[2] 0.001088 0.000001 0.000000 0.003243 0.000760 1.000 2
length{all}[3] 0.007217 0.000009 0.002448 0.013281 0.006810 1.000 2
length{all}[4] 0.036263 0.000105 0.019132 0.057523 0.034859 1.000 2
length{all}[5] 0.001115 0.000001 0.000000 0.003307 0.000758 1.000 2
length{all}[6] 0.004501 0.000006 0.000851 0.009348 0.004041 1.000 2
length{all}[7] 0.001059 0.000001 0.000000 0.003211 0.000739 1.000 2
length{all}[8] 0.001105 0.000001 0.000001 0.003239 0.000774 1.000 2
length{all}[9] 0.004170 0.000005 0.000151 0.008460 0.003808 1.000 2
length{all}[10] 0.022610 0.000037 0.011878 0.034653 0.022058 1.000 2
length{all}[11] 0.001127 0.000001 0.000000 0.003380 0.000761 1.000 2
length{all}[12] 0.002273 0.000003 0.000087 0.005611 0.001872 1.000 2
length{all}[13] 0.002784 0.000003 0.000049 0.006317 0.002438 1.000 2
length{all}[14] 0.004457 0.000005 0.000740 0.008793 0.004066 1.000 2
length{all}[15] 0.001075 0.000001 0.000000 0.003264 0.000777 1.000 2
length{all}[16] 0.001086 0.000001 0.000000 0.003221 0.000749 1.000 2
length{all}[17] 0.003071 0.000004 0.000005 0.006894 0.002671 1.000 2
length{all}[18] 0.001126 0.000001 0.000000 0.003402 0.000779 1.000 2
length{all}[19] 0.001074 0.000001 0.000002 0.003301 0.000737 1.000 2
length{all}[20] 0.005533 0.000007 0.001195 0.010506 0.005124 1.001 2
length{all}[21] 0.002423 0.000003 0.000050 0.005730 0.001998 1.000 2
length{all}[22] 0.018432 0.000031 0.008830 0.029482 0.017712 1.000 2
length{all}[23] 0.001080 0.000001 0.000001 0.003242 0.000749 1.000 2
length{all}[24] 0.001119 0.000001 0.000001 0.003391 0.000774 1.000 2
length{all}[25] 0.001073 0.000001 0.000001 0.003158 0.000742 1.000 2
length{all}[26] 0.001800 0.000003 0.000000 0.005162 0.001355 1.001 2
length{all}[27] 0.003525 0.000004 0.000462 0.007486 0.003151 1.002 2
length{all}[28] 0.001101 0.000001 0.000000 0.003290 0.000766 1.000 2
length{all}[29] 0.001091 0.000001 0.000000 0.003371 0.000768 1.003 2
length{all}[30] 0.003362 0.000004 0.000309 0.007382 0.002937 1.000 2
length{all}[31] 0.008272 0.000013 0.002309 0.015313 0.007743 1.000 2
length{all}[32] 0.003728 0.000005 0.000274 0.008014 0.003249 1.000 2
length{all}[33] 0.014539 0.000022 0.006125 0.024306 0.014263 1.000 2
length{all}[34] 0.003998 0.000005 0.000602 0.008321 0.003633 1.000 2
length{all}[35] 0.002220 0.000003 0.000062 0.005247 0.001875 1.000 2
length{all}[36] 0.005904 0.000008 0.001119 0.011489 0.005448 1.000 2
length{all}[37] 0.002519 0.000003 0.000093 0.006357 0.002088 1.002 2
length{all}[38] 0.002291 0.000003 0.000013 0.005594 0.001889 1.000 2
length{all}[39] 0.002267 0.000003 0.000000 0.005582 0.001900 1.000 2
length{all}[40] 0.002266 0.000003 0.000040 0.005570 0.001847 1.000 2
length{all}[41] 0.002216 0.000002 0.000028 0.005177 0.001889 1.000 2
length{all}[42] 0.002079 0.000003 0.000000 0.005446 0.001644 1.003 2
length{all}[43] 0.001818 0.000002 0.000001 0.004802 0.001478 0.999 2
length{all}[44] 0.001132 0.000001 0.000001 0.003345 0.000784 1.002 2
length{all}[45] 0.001813 0.000003 0.000002 0.005263 0.001360 1.000 2
length{all}[46] 0.001125 0.000001 0.000000 0.003296 0.000762 1.000 2
length{all}[47] 0.001145 0.000001 0.000001 0.003587 0.000760 0.999 2
length{all}[48] 0.001902 0.000002 0.000002 0.005166 0.001520 1.000 2
length{all}[49] 0.002401 0.000004 0.000010 0.006438 0.001914 0.999 2
length{all}[50] 0.001803 0.000002 0.000002 0.004895 0.001466 0.998 2
length{all}[51] 0.001445 0.000002 0.000000 0.003835 0.001039 1.003 2
length{all}[52] 0.001331 0.000002 0.000005 0.003860 0.000960 1.003 2
length{all}[53] 0.002098 0.000003 0.000000 0.005367 0.001769 0.998 2
length{all}[54] 0.002671 0.000004 0.000068 0.006732 0.002345 1.003 2
length{all}[55] 0.002710 0.000005 0.000009 0.006808 0.002300 1.001 2
length{all}[56] 0.001116 0.000001 0.000002 0.003320 0.000788 0.997 2
length{all}[57] 0.002169 0.000002 0.000003 0.005409 0.001800 1.017 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 = 0.009369
Maximum standard deviation of split frequencies = 0.033919
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.017
Clade credibility values:
/--------------------------------------------------------------------- C65 (1)
|
| /------- C438 (5)
|-----------------------------100-----------------------------+
| \------- C258 (14)
|
| /------- C325 (2)
| |
| /--------------------------98--------------------------+------- C367 (16)
| | |
| | \------- C111 (18)
| |
| | /------- C183 (3)
| | /--100-+
| | | \------- C60 (13)
| | |
| | |-------------- C657 (10)
+ | |
| | /--100-+-------------- C109 (17)
| | | |
| | | |-------------- C266 (20)
| | /--92--+ |
| | | | \-------------- C142 (30)
| | | |
| | /-100-+ \--------------------- C7 (22)
| | | |
| | /--78--+ \---------------------------- C129 (26)
| | | |
| | /--81--+ \---------------------------------- C284 (21)
| | | |
| | /--82--+ \----------------------------------------- C337 (12)
| | | |
| |--72--+ \------------------------------------------------ C229 (6)
\--62--+ |
| \------------------------------------------------------- C136 (27)
|
|-------------------------------------------------------------- C182 (4)
|
|-------------------------------------------------------------- C194 (7)
|
|-------------------------------------------------------------- C292 (8)
|
|-------------------------------------------------------------- C185 (9)
|
|-------------------------------------------------------------- C517 (11)
|
|-------------------------------------------------------------- C270 (15)
|
|-------------------------------------------------------------- C190 (19)
|
|-------------------------------------------------------------- C314 (23)
|
|-------------------------------------------------------------- C562 (24)
|
|-------------------------------------------------------------- C385 (25)
|
|-------------------------------------------------------------- C533 (28)
|
\-------------------------------------------------------------- C391 (29)
Phylogram (based on average branch lengths):
/-- C65 (1)
|
| /- C438 (5)
|---+
| \----- C258 (14)
|
| /- C325 (2)
| |
| /-+- C367 (16)
| | |
| | \- C111 (18)
| |
| | /-------- C183 (3)
| | /---+
| | | \--- C60 (13)
| | |
| | |-------------------------- C657 (10)
+ | |
| | /--------+--- C109 (17)
| | | |
| | | |------ C266 (20)
| | /-----+ |
| | | | \---- C142 (30)
| | | |
| | /----------------+ \--------------------- C7 (22)
| | | |
| | /-+ \- C129 (26)
| | | |
| | /-+ \--- C284 (21)
| | | |
| | /--+ \-- C337 (12)
| | | |
| |-+ \----- C229 (6)
\-+ |
| \---- C136 (27)
|
|----------------------------------------- C182 (4)
|
|- C194 (7)
|
|- C292 (8)
|
|----- C185 (9)
|
|- C517 (11)
|
|- C270 (15)
|
|- C190 (19)
|
|- C314 (23)
|
|- C562 (24)
|
|- C385 (25)
|
|- C533 (28)
|
\- C391 (29)
|----------| 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 16:36:21 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Fri Nov 18 05:12:32 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml,LZW_NA_AIJ01342_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 C258 672 sites
reading seq# 2 C367 672 sites
reading seq# 3 C270 672 sites
reading seq# 4 C517 672 sites
reading seq# 5 C111 672 sites
reading seq# 6 C109 672 sites
reading seq# 7 C190 672 sites
reading seq# 8 C60 672 sites
reading seq# 9 C533 672 sites
reading seq#10 C266 672 sites
reading seq#11 C325 672 sites
reading seq#12 C65 672 sites
reading seq#13 C183 672 sites
reading seq#14 C284 672 sites
reading seq#15 C7 672 sites
reading seq#16 C438 672 sites
reading seq#17 C182 672 sites
reading seq#18 C229 672 sites
reading seq#19 C562 672 sites
reading seq#20 C314 672 sites
reading seq#21 C292 672 sites
reading seq#22 C194 672 sites
reading seq#23 C129 672 sites
reading seq#24 C136 672 sites
reading seq#25 C385 672 sites
reading seq#26 C657 672 sites
reading seq#27 C185 672 sites
reading seq#28 C142 672 sites
reading seq#29 C391 672 sites
reading seq#30 C337 672 sitesns = 30 ls = 672
Reading sequences, sequential format..
Reading seq # 1: C258
Reading seq # 2: C367
Reading seq # 3: C270
Reading seq # 4: C517
Reading seq # 5: C111
Reading seq # 6: C109
Reading seq # 7: C190
Reading seq # 8: C60
Reading seq # 9: C533
Reading seq #10: C266
Reading seq #11: C325
Reading seq #12: C65
Reading seq #13: C183
Reading seq #14: C284
Reading seq #15: C7
Reading seq #16: C438
Reading seq #17: C182
Reading seq #18: C229
Reading seq #19: C562
Reading seq #20: C314
Reading seq #21: C292
Reading seq #22: C194
Reading seq #23: C129
Reading seq #24: C136
Reading seq #25: C385
Reading seq #26: C657
Reading seq #27: C185
Reading seq #28: C142
Reading seq #29: C391
Reading seq #30: C337
Sites with gaps or missing data are removed.
18 ambiguity characters in seq. 14
213 ambiguity characters in seq. 15
399 ambiguity characters in seq. 17
240 ambiguity characters in seq. 26
208 sites are removed. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224
Sequences read..
Counting site patterns.. 0:00
Compressing, 16 patterns at 16 / 16 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 16 patterns at 16 / 16 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
15616 bytes for conP
1408 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
93696 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.087547 0.011901 0.012734 0.010287 0.014079 0.058008 0.082881 0.056042 0.011121 0.051791 0.095010 0.054429 0.096486 0.092388 0.075249 0.077371 0.088585 0.071224 0.077619 0.011258 0.085500 0.030013 0.104072 0.050637 0.089661 0.042884 0.044347 0.030879 0.095314 0.046056 0.040352 0.060734 0.030969 0.013522 0.054729 0.090737 0.024023 0.052156 0.098321 0.028388 0.029729 0.300000 0.718792 0.280998
ntime & nrate & np: 41 2 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 9.804377
np = 44
lnL0 = -168.844083
Iterating by ming2
Initial: fx= 168.844083
x= 0.08755 0.01190 0.01273 0.01029 0.01408 0.05801 0.08288 0.05604 0.01112 0.05179 0.09501 0.05443 0.09649 0.09239 0.07525 0.07737 0.08858 0.07122 0.07762 0.01126 0.08550 0.03001 0.10407 0.05064 0.08966 0.04288 0.04435 0.03088 0.09531 0.04606 0.04035 0.06073 0.03097 0.01352 0.05473 0.09074 0.02402 0.05216 0.09832 0.02839 0.02973 0.30000 0.71879 0.28100
1 h-m-p 0.0000 0.0008 181.4480 ++++ 154.378752 m 0.0008 51 | 1/44
2 h-m-p 0.0000 0.0001 95.8060 ++ 153.896521 m 0.0001 98 | 2/44
3 h-m-p 0.0000 0.0000 1415.9738 ++ 153.620587 m 0.0000 145 | 3/44
4 h-m-p 0.0000 0.0000 91.0313 ++ 153.554494 m 0.0000 192 | 4/44
5 h-m-p 0.0000 0.0001 72.2239 ++ 153.289597 m 0.0001 239 | 5/44
6 h-m-p 0.0000 0.0002 33.8562 ++ 152.999080 m 0.0002 286 | 6/44
7 h-m-p 0.0000 0.0000 354.7244 ++ 152.792173 m 0.0000 333 | 7/44
8 h-m-p 0.0000 0.0005 153.2855 +++ 149.517371 m 0.0005 381 | 8/44
9 h-m-p 0.0000 0.0000 1310.7743 ++ 148.098928 m 0.0000 428 | 9/44
10 h-m-p 0.0001 0.0004 38.2191 ++ 147.736462 m 0.0004 475 | 10/44
11 h-m-p 0.0002 0.0012 7.0796 ++ 147.324982 m 0.0012 522 | 11/44
12 h-m-p 0.0000 0.0000 218.6117 ++ 147.252515 m 0.0000 569 | 12/44
13 h-m-p 0.0000 0.0003 70.0527 ++ 146.091912 m 0.0003 616 | 13/44
14 h-m-p 0.0001 0.0005 57.6754 ++ 144.647370 m 0.0005 663 | 14/44
15 h-m-p 0.0000 0.0000 136.0970 ++ 144.557114 m 0.0000 710 | 15/44
16 h-m-p 0.0000 0.0002 145.6677 ++ 143.381686 m 0.0002 757 | 16/44
17 h-m-p 0.0000 0.0002 122.4630 ++ 141.990533 m 0.0002 804 | 17/44
18 h-m-p 0.0000 0.0001 90.8999 ++ 141.713752 m 0.0001 851 | 18/44
19 h-m-p 0.0000 0.0001 73.1696 ++ 141.502421 m 0.0001 898 | 19/44
20 h-m-p 0.0000 0.0000 293.2469 ++ 141.199305 m 0.0000 945 | 20/44
21 h-m-p 0.0000 0.0002 92.0366 ++ 140.539395 m 0.0002 992 | 21/44
22 h-m-p 0.0000 0.0002 412.0800 ++ 137.095589 m 0.0002 1039 | 22/44
23 h-m-p 0.0000 0.0000 700.6048 ++ 137.064288 m 0.0000 1086 | 23/44
24 h-m-p 0.0000 0.0000 2740.5197 ++ 136.791599 m 0.0000 1133 | 24/44
25 h-m-p 0.0000 0.0001 105.0620 ++ 136.295489 m 0.0001 1180 | 25/44
26 h-m-p 0.0000 0.0000 4398.8907 ++ 136.189525 m 0.0000 1227 | 26/44
27 h-m-p 0.0000 0.0000 98.5200 ++ 136.184531 m 0.0000 1274 | 27/44
28 h-m-p 0.0000 0.0000 1900.4972 ++ 136.163406 m 0.0000 1321 | 28/44
29 h-m-p 0.0000 0.0003 86.5418 +++ 135.336593 m 0.0003 1369 | 29/44
30 h-m-p 0.0000 0.0000 1831.5815 ++ 135.264929 m 0.0000 1416 | 30/44
31 h-m-p 0.0000 0.0003 114.5356 +++ 134.166597 m 0.0003 1464 | 31/44
32 h-m-p 0.0000 0.0000 880.4886 ++ 133.176056 m 0.0000 1511 | 32/44
33 h-m-p 0.0000 0.0000 312.2399 ++ 133.021335 m 0.0000 1558 | 33/44
34 h-m-p 0.0000 0.0001 158.4298 ++ 132.601980 m 0.0001 1605 | 34/44
35 h-m-p 0.0000 0.0002 131.2284 ++ 132.071921 m 0.0002 1652 | 35/44
36 h-m-p 0.0001 0.0003 42.7081 ++ 131.909414 m 0.0003 1699 | 36/44
37 h-m-p 0.0067 0.8454 0.7146 +++YCYCCCC 129.731343 6 0.5593 1759 | 36/44
38 h-m-p 0.2891 1.4457 0.6990 +YCCC 127.866319 3 0.7913 1820 | 36/44
39 h-m-p 1.2331 6.1656 0.1314 +YCCCC 126.113846 4 3.4490 1883 | 36/44
40 h-m-p 0.5454 2.7269 0.2492 CYCCCC 125.454916 5 1.0788 1947 | 36/44
41 h-m-p 1.3413 6.7065 0.1492 CCCC 125.131714 3 2.0063 2008 | 36/44
42 h-m-p 1.3230 6.6150 0.0971 CYCCC 125.038665 4 1.1064 2070 | 36/44
43 h-m-p 1.6000 8.0000 0.0225 YCCC 124.981014 3 2.4440 2130 | 36/44
44 h-m-p 1.6000 8.0000 0.0296 ++ 124.845643 m 8.0000 2185 | 36/44
45 h-m-p 1.3122 6.5609 0.1402 CCCC 124.760850 3 1.5241 2246 | 36/44
46 h-m-p 1.6000 8.0000 0.0962 YCCC 124.734453 3 1.0455 2306 | 36/44
47 h-m-p 1.6000 8.0000 0.0166 CC 124.731577 1 2.1064 2363 | 36/44
48 h-m-p 1.6000 8.0000 0.0114 +YC 124.725241 1 4.5647 2420 | 36/44
49 h-m-p 1.0556 6.4933 0.0493 ++ 124.668526 m 6.4933 2475 | 37/44
50 h-m-p 0.8420 4.2098 0.1828 CCC 124.650722 2 0.2442 2534 | 37/44
51 h-m-p 1.6000 8.0000 0.0212 YCC 124.642308 2 1.0633 2591 | 37/44
52 h-m-p 1.6000 8.0000 0.0053 CC 124.640667 1 1.9980 2647 | 37/44
53 h-m-p 1.6000 8.0000 0.0018 YC 124.640579 1 1.0695 2702 | 37/44
54 h-m-p 1.6000 8.0000 0.0002 Y 124.640578 0 1.2205 2756 | 37/44
55 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 1.0603 2810 | 37/44
56 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 1.0157 2864 | 37/44
57 h-m-p 1.6000 8.0000 0.0000 C 124.640578 0 0.4000 2918 | 37/44
58 h-m-p 0.6229 8.0000 0.0000 C 124.640578 0 0.1557 2972
Out..
lnL = -124.640578
2973 lfun, 8919 eigenQcodon, 243786 P(t)
end of tree file.
Time used: 1:06
Model 2: PositiveSelection
TREE # 1
(12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.086043 0.041715 0.104041 0.046966 0.022465 0.076228 0.017272 0.104992 0.013957 0.097303 0.052890 0.090303 0.066025 0.025029 0.079648 0.105785 0.051513 0.044116 0.040452 0.016398 0.036125 0.104933 0.039762 0.020100 0.027303 0.084228 0.037914 0.015143 0.057372 0.047687 0.100829 0.093455 0.086905 0.031550 0.028517 0.064778 0.089234 0.035448 0.060834 0.091257 0.052062 1.119659 1.636631 0.219618 0.408659 1.552432
ntime & nrate & np: 41 3 46
Bounds (np=46):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 5.673857
np = 46
lnL0 = -173.020915
Iterating by ming2
Initial: fx= 173.020915
x= 0.08604 0.04171 0.10404 0.04697 0.02247 0.07623 0.01727 0.10499 0.01396 0.09730 0.05289 0.09030 0.06603 0.02503 0.07965 0.10578 0.05151 0.04412 0.04045 0.01640 0.03612 0.10493 0.03976 0.02010 0.02730 0.08423 0.03791 0.01514 0.05737 0.04769 0.10083 0.09346 0.08690 0.03155 0.02852 0.06478 0.08923 0.03545 0.06083 0.09126 0.05206 1.11966 1.63663 0.21962 0.40866 1.55243
1 h-m-p 0.0000 0.0011 202.0287 ++++ 152.200545 m 0.0011 53 | 1/46
2 h-m-p 0.0000 0.0001 90.1843 ++ 151.764658 m 0.0001 102 | 2/46
3 h-m-p 0.0000 0.0000 427.9447 ++ 150.881451 m 0.0000 151 | 3/46
4 h-m-p 0.0000 0.0000 124.1197 ++ 150.649431 m 0.0000 200 | 4/46
5 h-m-p 0.0001 0.0011 46.5230 ++ 148.892963 m 0.0011 249 | 5/46
6 h-m-p 0.0005 0.0026 14.9785 ++ 146.627116 m 0.0026 298 | 6/46
7 h-m-p 0.0000 0.0000 2477.1511 ++ 146.533315 m 0.0000 347 | 7/46
8 h-m-p 0.0000 0.0003 62.8623 ++ 145.535244 m 0.0003 396 | 8/46
9 h-m-p 0.0000 0.0001 250.1980 ++ 144.306915 m 0.0001 445 | 9/46
10 h-m-p 0.0000 0.0001 46.2712 ++ 144.161678 m 0.0001 494 | 10/46
11 h-m-p 0.0001 0.0005 38.5801 ++ 143.342348 m 0.0005 543 | 11/46
12 h-m-p 0.0000 0.0000 57.2043 ++ 143.297614 m 0.0000 592 | 12/46
13 h-m-p 0.0000 0.0003 148.3024 +++ 141.987040 m 0.0003 642 | 13/46
14 h-m-p 0.0002 0.0009 49.9371 ++ 140.756846 m 0.0009 691 | 14/46
15 h-m-p 0.0000 0.0001 111.0391 ++ 140.303230 m 0.0001 740 | 15/46
16 h-m-p 0.0001 0.0003 95.7652 ++ 139.718140 m 0.0003 789 | 16/46
17 h-m-p 0.0002 0.0009 33.1360 ++ 139.006468 m 0.0009 838 | 17/46
18 h-m-p 0.0000 0.0001 215.2546 ++ 138.539941 m 0.0001 887 | 18/46
19 h-m-p 0.0000 0.0002 221.5660 ++ 137.593374 m 0.0002 936 | 19/46
20 h-m-p 0.0000 0.0002 188.3950 ++ 137.022137 m 0.0002 985 | 20/46
21 h-m-p 0.0000 0.0002 239.6165 ++ 136.304055 m 0.0002 1034 | 21/46
22 h-m-p 0.0001 0.0006 302.2491 ++ 133.767766 m 0.0006 1083 | 22/46
23 h-m-p 0.0000 0.0000 3947.4303 ++ 133.281778 m 0.0000 1132 | 23/46
24 h-m-p 0.0000 0.0000 458.0334 ++ 133.185319 m 0.0000 1181 | 24/46
25 h-m-p 0.0000 0.0001 189.9135 ++ 132.966122 m 0.0001 1230 | 25/46
26 h-m-p 0.0000 0.0000 1559.9603 ++ 132.812910 m 0.0000 1279 | 26/46
27 h-m-p 0.0000 0.0001 212.8159 ++ 132.654480 m 0.0001 1328 | 27/46
28 h-m-p 0.0000 0.0000 12011.1482 ++ 132.610547 m 0.0000 1377 | 28/46
29 h-m-p 0.0000 0.0001 202.8818 ++ 132.401450 m 0.0001 1426 | 29/46
30 h-m-p 0.0000 0.0000 27254.2896 ++ 132.334191 m 0.0000 1475 | 30/46
31 h-m-p 0.0000 0.0000 212.6810 ++ 132.291572 m 0.0000 1524 | 31/46
32 h-m-p 0.0000 0.0000 626.4286 ++ 132.193657 m 0.0000 1573 | 32/46
33 h-m-p 0.0001 0.0008 130.4819 ++ 131.309737 m 0.0008 1622 | 33/46
34 h-m-p 0.0000 0.0000 89816.6036 ++ 130.903371 m 0.0000 1671 | 34/46
35 h-m-p 0.0002 0.0011 62.5770 ++ 130.445387 m 0.0011 1720 | 35/46
36 h-m-p 0.0000 0.0001 41.4552 ++ 130.420116 m 0.0001 1769 | 36/46
37 h-m-p 0.0016 0.3989 2.9900 +++CCYCC 128.714002 4 0.2476 1829 | 36/46
38 h-m-p 0.0870 0.4348 1.5904 +YCYCCC 127.781784 5 0.2533 1887 | 36/46
39 h-m-p 0.3634 1.8170 0.6931 CYCCC 126.949252 4 0.5114 1943 | 36/46
40 h-m-p 0.6588 3.2939 0.2144 ++ 125.716900 m 3.2939 2002 | 36/46
41 h-m-p -0.0000 -0.0000 0.3118
h-m-p: -0.00000000e+00 -0.00000000e+00 3.11848162e-01 125.716900
.. | 36/46
42 h-m-p 0.0000 0.0244 9.4901 ++++YYYC 125.177594 3 0.0115 2124 | 36/46
43 h-m-p 0.0106 0.0922 10.2945 CYCCC 124.951928 4 0.0084 2180 | 36/46
44 h-m-p 0.0136 0.0681 4.6779 CCYC 124.847121 3 0.0135 2234 | 36/46
45 h-m-p 0.1136 0.9053 0.5541 YCCC 124.835558 3 0.0671 2288 | 36/46
46 h-m-p 0.0117 0.4321 3.1782 +CCCC 124.760012 3 0.0781 2354 | 36/46
47 h-m-p 0.1871 0.9357 0.5704 -CC 124.758478 1 0.0137 2406 | 36/46
48 h-m-p 0.0255 0.3950 0.3078 ++ 124.750447 m 0.3950 2465 | 36/46
49 h-m-p -0.0000 -0.0000 0.1302
h-m-p: -0.00000000e+00 -0.00000000e+00 1.30174595e-01 124.750447
.. | 36/46
50 h-m-p 0.0002 0.1033 0.9468 ++YC 124.747139 1 0.0072 2583 | 36/46
51 h-m-p 0.0098 2.0299 0.6974 +YC 124.742925 1 0.0244 2644 | 36/46
52 h-m-p 0.0168 0.7112 1.0124 CC 124.737724 1 0.0264 2705 | 36/46
53 h-m-p 0.1055 2.6985 0.2529 YC 124.736187 1 0.0629 2755 | 36/46
54 h-m-p 0.0169 1.8118 0.9432 YC 124.733526 1 0.0328 2815 | 36/46
55 h-m-p 0.0866 0.4331 0.1751 ++ 124.727587 m 0.4331 2874 | 37/46
56 h-m-p 0.0270 0.2700 2.8040 YC 124.725438 1 0.0149 2934 | 37/46
57 h-m-p 0.0669 1.1564 0.6254 +++ 124.662618 m 1.1564 2984 | 38/46
58 h-m-p 1.6000 8.0000 0.1120 YCC 124.647951 2 1.1998 3045 | 38/46
59 h-m-p 0.2636 5.4572 0.5096 YCC 124.640921 2 0.1846 3105 | 38/46
60 h-m-p 1.6000 8.0000 0.0051 YC 124.640578 1 1.0702 3163 | 38/46
61 h-m-p 1.6000 8.0000 0.0002 Y 124.640578 0 0.9884 3220 | 38/46
62 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 0.9564 3277 | 38/46
63 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 0.8394 3334 | 38/46
64 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 1.2462 3391 | 38/46
65 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 0.6583 3448 | 38/46
66 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 1.6000 3505 | 38/46
67 h-m-p 1.6000 8.0000 0.0000 ------------Y 124.640578 0 0.0000 3574
Out..
lnL = -124.640578
3575 lfun, 14300 eigenQcodon, 439725 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) = -126.426786 S = -115.256135 -10.232645
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 16 patterns 3:41
did 16 / 16 patterns 3:41end of tree file.
Time used: 3:41
Model 7: beta
TREE # 1
(12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.066993 0.035773 0.013453 0.073614 0.072405 0.084335 0.071810 0.077032 0.042679 0.026644 0.077927 0.078175 0.083207 0.032360 0.068640 0.024428 0.068157 0.030192 0.072653 0.108564 0.093176 0.010627 0.049523 0.096221 0.076827 0.093402 0.076588 0.057983 0.077937 0.033160 0.038541 0.016981 0.071056 0.011735 0.049321 0.097952 0.097212 0.040485 0.011018 0.038717 0.082135 1.119659 0.811284 1.794769
ntime & nrate & np: 41 1 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 8.623010
np = 44
lnL0 = -174.773909
Iterating by ming2
Initial: fx= 174.773909
x= 0.06699 0.03577 0.01345 0.07361 0.07241 0.08434 0.07181 0.07703 0.04268 0.02664 0.07793 0.07817 0.08321 0.03236 0.06864 0.02443 0.06816 0.03019 0.07265 0.10856 0.09318 0.01063 0.04952 0.09622 0.07683 0.09340 0.07659 0.05798 0.07794 0.03316 0.03854 0.01698 0.07106 0.01174 0.04932 0.09795 0.09721 0.04049 0.01102 0.03872 0.08213 1.11966 0.81128 1.79477
1 h-m-p 0.0000 0.0008 249.5573 ++++ 154.996662 m 0.0008 51 | 1/44
2 h-m-p 0.0000 0.0000 89.0114 ++ 154.981536 m 0.0000 98 | 2/44
3 h-m-p 0.0000 0.0000 867.7158 ++ 154.648895 m 0.0000 145 | 3/44
4 h-m-p 0.0002 0.0008 24.6037 ++ 153.976066 m 0.0008 192 | 4/44
5 h-m-p 0.0002 0.0010 27.1612 ++ 152.843462 m 0.0010 239 | 5/44
6 h-m-p 0.0000 0.0002 347.0799 ++ 149.646479 m 0.0002 286 | 6/44
7 h-m-p 0.0001 0.0004 229.9517 ++ 146.433382 m 0.0004 333 | 7/44
8 h-m-p 0.0000 0.0001 161.0683 ++ 145.791050 m 0.0001 380 | 8/44
9 h-m-p 0.0000 0.0000 982.0233 ++ 145.733794 m 0.0000 427 | 9/44
10 h-m-p 0.0000 0.0001 380.5843 ++ 145.045894 m 0.0001 474 | 10/44
11 h-m-p 0.0000 0.0002 187.0471 ++ 143.563216 m 0.0002 521 | 11/44
12 h-m-p 0.0000 0.0002 305.9588 ++ 141.942757 m 0.0002 568 | 12/44
13 h-m-p 0.0000 0.0002 312.7788 ++ 140.104031 m 0.0002 615 | 13/44
14 h-m-p 0.0000 0.0001 330.4539 ++ 138.999886 m 0.0001 662 | 14/44
15 h-m-p 0.0000 0.0001 220.0383 ++ 138.340585 m 0.0001 709 | 15/44
16 h-m-p 0.0000 0.0001 646.4051 ++ 135.766897 m 0.0001 756 | 16/44
17 h-m-p 0.0000 0.0001 349.1772 ++ 135.070617 m 0.0001 803 | 17/44
18 h-m-p 0.0000 0.0000 1255.3978 ++ 134.272501 m 0.0000 850 | 18/44
19 h-m-p 0.0000 0.0000 298.1832 ++ 134.217673 m 0.0000 897 | 19/44
20 h-m-p 0.0000 0.0000 3743.3077 ++ 133.572087 m 0.0000 944 | 20/44
21 h-m-p 0.0000 0.0000 278.3947 ++ 133.230100 m 0.0000 991 | 21/44
22 h-m-p 0.0000 0.0000 2284051.0806 ++ 132.884222 m 0.0000 1038 | 22/44
23 h-m-p 0.0000 0.0000 477.4072 ++ 132.508421 m 0.0000 1085 | 23/44
24 h-m-p 0.0000 0.0000 19435.3761 ++ 132.303344 m 0.0000 1132 | 24/44
25 h-m-p 0.0000 0.0000 519.2973 ++ 132.043825 m 0.0000 1179 | 25/44
26 h-m-p 0.0000 0.0000 3938.6300 ++ 131.880680 m 0.0000 1226 | 26/44
27 h-m-p 0.0000 0.0000 437.5919 ++ 131.459931 m 0.0000 1273 | 27/44
28 h-m-p 0.0000 0.0000 518.2256 ++ 131.414865 m 0.0000 1320 | 28/44
29 h-m-p 0.0000 0.0000 1068.0242 ++ 131.252725 m 0.0000 1367 | 29/44
30 h-m-p 0.0000 0.0001 271.2170 ++ 130.855944 m 0.0001 1414 | 30/44
31 h-m-p 0.0000 0.0000 626.8071 ++ 130.770161 m 0.0000 1461 | 31/44
32 h-m-p 0.0000 0.0000 269.6518 ++ 130.723985 m 0.0000 1508 | 32/44
33 h-m-p 0.0000 0.0000 235.9725 ++ 130.545275 m 0.0000 1555 | 33/44
34 h-m-p 0.0001 0.0006 169.6341 ++ 129.021671 m 0.0006 1602 | 34/44
35 h-m-p 0.0001 0.0004 81.8485 ++ 128.516968 m 0.0004 1649 | 35/44
36 h-m-p 0.0001 0.0003 34.4614 ++ 128.397259 m 0.0003 1696 | 36/44
37 h-m-p 0.0044 0.8508 1.1615 +++YCYYCCC 127.700091 6 0.4719 1755 | 36/44
38 h-m-p 0.7622 3.8108 0.3577 CYCCC 126.826557 4 1.3918 1809 | 36/44
39 h-m-p 0.7994 3.9971 0.1285 +YCYCCC 125.917877 5 2.4042 1873 | 36/44
40 h-m-p 0.4098 2.3117 0.7538 CYCCC 125.516144 4 0.4856 1935 | 36/44
41 h-m-p 1.5591 8.0000 0.2348 YCCC 124.881310 3 2.7652 1995 | 36/44
42 h-m-p 1.6000 8.0000 0.1832 CYC 124.775905 2 1.6916 2053 | 36/44
43 h-m-p 1.6000 8.0000 0.1498 CYC 124.759263 2 1.3999 2111 | 36/44
44 h-m-p 1.6000 8.0000 0.0227 CC 124.756044 1 2.0777 2168 | 36/44
45 h-m-p 1.6000 8.0000 0.0225 CC 124.755291 1 2.2424 2225 | 36/44
46 h-m-p 1.6000 8.0000 0.0154 +CC 124.754317 1 5.7520 2283 | 36/44
47 h-m-p 1.6000 8.0000 0.0509 ++ 124.747785 m 8.0000 2338 | 36/44
48 h-m-p 0.0123 0.0690 33.0699 CYCYC 124.738916 4 0.0238 2399 | 36/44
49 h-m-p 0.6542 3.2711 0.4314 YCC 124.737577 2 0.3667 2449 | 36/44
50 h-m-p 0.6564 8.0000 0.2410 ----------------.. | 36/44
51 h-m-p 0.0003 0.1604 1.5552 ++YCC 124.726895 2 0.0090 2578 | 36/44
52 h-m-p 0.0291 1.8171 0.4784 YC 124.726310 1 0.0056 2626 | 36/44
53 h-m-p 0.0159 6.4017 0.1689 ++CC 124.721894 1 0.3482 2685 | 36/44
54 h-m-p 0.0334 0.5782 1.7627 YC 124.720014 1 0.0149 2741 | 36/44
55 h-m-p 0.3190 8.0000 0.0822 CC 124.719016 1 0.3694 2790 | 36/44
56 h-m-p 0.0229 0.7033 1.3236 CC 124.718202 1 0.0193 2847 | 36/44
57 h-m-p 0.0908 3.3669 0.2819 CC 124.717504 1 0.0870 2896 | 36/44
58 h-m-p 0.3132 8.0000 0.0783 +++ 124.687318 m 8.0000 2952 | 36/44
59 h-m-p 0.0371 0.1855 2.8979 YCCC 124.686436 3 0.0223 3012 | 36/44
60 h-m-p 0.1555 8.0000 0.4154 ---------------.. | 36/44
61 h-m-p 0.0049 2.4295 0.3131 +CC 124.685116 1 0.0272 3130 | 36/44
62 h-m-p 0.0129 0.5824 0.6595 YC 124.682543 1 0.0309 3186 | 36/44
63 h-m-p 0.0093 0.4139 2.1987 CC 124.679825 1 0.0105 3243 | 36/44
64 h-m-p 0.2861 7.8642 0.0809 CC 124.679502 1 0.1084 3292 | 36/44
65 h-m-p 0.0134 1.2125 0.6522 +CC 124.678191 1 0.0582 3350 | 36/44
66 h-m-p 0.0625 1.1944 0.6071 YC 124.675682 1 0.1247 3406 | 36/44
67 h-m-p 0.0177 0.1513 4.2799 CCC 124.671439 2 0.0294 3465 | 36/44
68 h-m-p 0.1633 0.8163 0.5312 YCYYC 124.654378 4 0.5195 3518 | 36/44
69 h-m-p 0.0729 0.3647 0.5295 CYCCC 124.651921 4 0.1131 3580 | 36/44
70 h-m-p 0.1337 0.6685 0.3164 YYCCCCC 124.646170 6 0.1763 3645 | 36/44
71 h-m-p 0.6294 3.1471 0.0405 YYC 124.645352 2 0.5605 3702 | 36/44
72 h-m-p 1.0607 5.3035 0.0209 YYYYCYC 124.644963 6 1.5728 3764 | 36/44
73 h-m-p 0.3835 1.9176 0.0393 YYYYYC 124.644837 5 0.3835 3824 | 36/44
74 h-m-p 0.3808 1.9040 0.0338 YYC 124.644754 2 0.2558 3881 | 36/44
75 h-m-p 0.4265 3.0662 0.0203 CY 124.644650 1 0.5790 3938 | 36/44
76 h-m-p 1.2426 6.2130 0.0069 Y 124.644648 0 0.3106 3993 | 36/44
77 h-m-p 0.3007 5.5358 0.0072 Y 124.644647 0 0.3007 4048 | 36/44
78 h-m-p 0.2145 3.6937 0.0100 Y 124.644646 0 0.2145 4103 | 36/44
79 h-m-p 0.1693 2.7248 0.0127 Y 124.644645 0 0.0999 4158 | 36/44
80 h-m-p 0.0642 1.6774 0.0198 C 124.644645 0 0.0650 4213 | 36/44
81 h-m-p 0.0350 0.8657 0.0367 Y 124.644645 0 0.0240 4268 | 36/44
82 h-m-p 0.0089 0.3122 0.0987 Y 124.644645 0 0.0068 4323 | 36/44
83 h-m-p 0.0009 0.0429 0.7029 Y 124.644645 0 0.0004 4378 | 36/44
84 h-m-p 0.0001 0.0111 2.6825 --------Y 124.644645 0 0.0000 4441 | 36/44
85 h-m-p 0.0160 8.0000 0.0006 ++Y 124.644644 0 0.6187 4490 | 36/44
86 h-m-p 1.6000 8.0000 0.0001 ----------C 124.644644 0 0.0000 4555
Out..
lnL = -124.644644
4556 lfun, 50116 eigenQcodon, 1867960 P(t)
end of tree file.
Time used: 12:12
Model 8: beta&w>1
TREE # 1
(12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.099982 0.089161 0.088508 0.061289 0.084428 0.048987 0.033732 0.061857 0.051008 0.083467 0.081122 0.039224 0.085404 0.015637 0.067403 0.093345 0.062568 0.033169 0.046583 0.055504 0.012290 0.047413 0.018948 0.037549 0.073734 0.065251 0.057621 0.055641 0.099879 0.065914 0.031114 0.108204 0.047790 0.049979 0.095311 0.062755 0.065678 0.102716 0.103331 0.081319 0.062663 1.105038 0.900000 0.989811 1.466878 1.300000
ntime & nrate & np: 41 2 46
Bounds (np=46):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.837978
np = 46
lnL0 = -174.082067
Iterating by ming2
Initial: fx= 174.082067
x= 0.09998 0.08916 0.08851 0.06129 0.08443 0.04899 0.03373 0.06186 0.05101 0.08347 0.08112 0.03922 0.08540 0.01564 0.06740 0.09334 0.06257 0.03317 0.04658 0.05550 0.01229 0.04741 0.01895 0.03755 0.07373 0.06525 0.05762 0.05564 0.09988 0.06591 0.03111 0.10820 0.04779 0.04998 0.09531 0.06276 0.06568 0.10272 0.10333 0.08132 0.06266 1.10504 0.90000 0.98981 1.46688 1.30000
1 h-m-p 0.0000 0.0010 174.4625 ++++ 157.372681 m 0.0010 53 | 1/46
2 h-m-p 0.0001 0.0004 94.9424 ++ 154.103852 m 0.0004 102 | 2/46
3 h-m-p 0.0000 0.0001 1425.8985 ++ 148.464420 m 0.0001 151 | 3/46
4 h-m-p 0.0001 0.0003 88.8889 ++ 146.915411 m 0.0003 200 | 4/46
5 h-m-p 0.0000 0.0000 2304.6517 ++ 144.830156 m 0.0000 249 | 5/46
6 h-m-p 0.0002 0.0012 80.1436 ++ 141.463082 m 0.0012 298 | 6/46
7 h-m-p 0.0000 0.0000 579.3024 ++ 140.932422 m 0.0000 347 | 7/46
8 h-m-p 0.0000 0.0000 4724.2297 ++ 140.642093 m 0.0000 396 | 8/46
9 h-m-p 0.0000 0.0001 942.9055 ++ 138.590342 m 0.0001 445 | 9/46
10 h-m-p 0.0000 0.0000 566.1333 ++ 137.982493 m 0.0000 494 | 10/46
11 h-m-p 0.0000 0.0000 228.3393 ++ 137.909309 m 0.0000 543 | 11/46
12 h-m-p 0.0000 0.0000 71444.3558 ++ 137.872924 m 0.0000 592 | 12/46
13 h-m-p 0.0000 0.0000 2362.4253 ++ 137.246852 m 0.0000 641 | 13/46
14 h-m-p 0.0000 0.0000 204304.6197 ++ 136.791627 m 0.0000 690 | 14/46
15 h-m-p 0.0000 0.0000 3023.9655 ++ 136.469110 m 0.0000 739 | 15/46
16 h-m-p 0.0000 0.0000 7792.0850 ++ 136.444986 m 0.0000 788 | 16/46
17 h-m-p 0.0000 0.0000 1777.7484 ++ 135.716629 m 0.0000 837 | 17/46
18 h-m-p 0.0000 0.0000 6827.4520 ++ 133.871455 m 0.0000 886 | 18/46
19 h-m-p 0.0000 0.0000 2395.5078 ++ 132.189791 m 0.0000 935 | 19/46
20 h-m-p 0.0000 0.0000 1218.7236 ++ 132.129090 m 0.0000 984 | 20/46
21 h-m-p 0.0000 0.0000 1444.3240 ++ 132.090128 m 0.0000 1033 | 21/46
22 h-m-p 0.0000 0.0000 2519.7313 ++ 131.872098 m 0.0000 1082 | 22/46
23 h-m-p 0.0000 0.0000 1009.8130 ++ 131.651314 m 0.0000 1131 | 23/46
24 h-m-p 0.0000 0.0000 1402.2277 ++ 131.483657 m 0.0000 1180 | 24/46
25 h-m-p 0.0000 0.0000 1018.3600 ++ 130.868137 m 0.0000 1229 | 25/46
26 h-m-p 0.0000 0.0000 759.5637 ++ 130.799079 m 0.0000 1278 | 26/46
27 h-m-p 0.0000 0.0000 815.8546 ++ 130.725418 m 0.0000 1327 | 27/46
28 h-m-p 0.0000 0.0000 665.1616 ++ 130.097837 m 0.0000 1376 | 28/46
29 h-m-p 0.0000 0.0000 476.5970 ++ 129.602380 m 0.0000 1425 | 29/46
30 h-m-p 0.0000 0.0000 320.7403 ++ 129.589221 m 0.0000 1474 | 30/46
31 h-m-p 0.0000 0.0000 433.6679 ++ 129.415023 m 0.0000 1523 | 31/46
32 h-m-p 0.0000 0.0000 258.7505 ++ 129.395003 m 0.0000 1572 | 32/46
33 h-m-p 0.0000 0.0000 307.5116 ++ 129.380189 m 0.0000 1621 | 33/46
34 h-m-p 0.0000 0.0001 110.5306 ++ 129.203158 m 0.0001 1670 | 34/46
35 h-m-p 0.0000 0.0001 80.3433 ++ 129.126958 m 0.0001 1719 | 35/46
36 h-m-p 0.0000 0.0002 38.8093 ++ 129.039681 m 0.0002 1768 | 36/46
37 h-m-p 0.0053 0.4855 0.7316 ++YCCCCC 128.321476 5 0.2080 1828 | 36/46
38 h-m-p 0.0708 0.3541 1.3438 +YCCCC 127.375147 4 0.2216 1895 | 36/46
39 h-m-p 0.0289 0.1446 1.1528 ++ 126.819715 m 0.1446 1944 | 36/46
40 h-m-p -0.0000 -0.0000 0.3083
h-m-p: -0.00000000e+00 -0.00000000e+00 3.08265709e-01 126.819715
.. | 36/46
41 h-m-p 0.0061 3.0360 23.3166 YYYCCC 125.410246 5 0.0073 2056 | 36/46
42 h-m-p 0.0006 0.0032 7.9059 ++ 125.242740 m 0.0032 2105 | 37/46
43 h-m-p 0.0332 0.1658 0.5861 YCCC 125.230239 3 0.0215 2159 | 37/46
44 h-m-p 0.0085 0.2166 1.4787 +YYC 125.171702 2 0.0280 2220 | 37/46
45 h-m-p 0.0169 0.2786 2.4512 +CCCCC 124.749756 4 0.0877 2278 | 37/46
46 h-m-p 0.0403 0.2017 1.2131 CC 124.740815 1 0.0117 2329 | 37/46
47 h-m-p 0.0568 3.7082 0.2508 ++YCCC 124.705930 3 0.6496 2385 | 37/46
48 h-m-p 1.6000 8.0000 0.0868 YC 124.695200 1 0.8618 2444 | 37/46
49 h-m-p 0.5228 8.0000 0.1430 CC 124.689441 1 0.5455 2504 | 37/46
50 h-m-p 0.8681 8.0000 0.0899 +YC 124.679895 1 2.7873 2564 | 37/46
51 h-m-p 0.8883 4.4417 0.1612 ++ 124.652359 m 4.4417 2622 | 38/46
52 h-m-p 0.6757 3.3787 0.2273 -CC 124.651303 1 0.0488 2683 | 38/46
53 h-m-p 0.3148 8.0000 0.0352 +YCC 124.641295 2 1.0183 2744 | 38/46
54 h-m-p 1.6000 8.0000 0.0068 YC 124.640590 1 1.1018 2802 | 38/46
55 h-m-p 1.6000 8.0000 0.0008 YC 124.640578 1 1.0196 2860 | 38/46
56 h-m-p 1.6000 8.0000 0.0001 Y 124.640578 0 1.0533 2917 | 38/46
57 h-m-p 1.6000 8.0000 0.0000 Y 124.640578 0 1.0684 2974 | 38/46
58 h-m-p 1.6000 8.0000 0.0000 C 124.640578 0 1.6000 3031 | 38/46
59 h-m-p 0.8473 8.0000 0.0000 ++ 124.640578 m 8.0000 3088 | 38/46
60 h-m-p 0.1304 8.0000 0.0001 ++C 124.640578 0 2.5604 3147 | 38/46
61 h-m-p 1.6000 8.0000 0.0001 ++ 124.640578 m 8.0000 3204 | 38/46
62 h-m-p 0.0160 8.0000 0.2541 +++
QuantileBeta(0.15, 0.00500, 2.56120) = 9.892647e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.55304) = 6.715192e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
Y 124.640578 0 2.8275 3265
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.208867e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23905) = 1.168009e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23881) = 1.168170e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.23893) = 1.168089e-160 2000 rounds
| 38/46
63 h-m-p 1.6000 8.0000 0.1412
QuantileBeta(0.15, 0.00500, 2.46487) = 1.036758e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 3.14269) = 7.745825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
Y 124.640578 0 3.2987 3322
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.583175e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70488) = 9.259360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70461) = 9.260470e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.70475) = 9.259915e-161 2000 rounds
| 38/46
64 h-m-p 1.4595 8.0000 0.3192
QuantileBeta(0.15, 0.00500, 3.17056) = 7.665969e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.56801) = 5.050343e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 5.25800) = 4.321208e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
Y 124.640578 0 6.6874 3380
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.901788e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83926) = 4.736243e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83889) = 4.736639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.83907) = 4.736441e-161 2000 rounds
| 38/46
65 h-m-p 1.6000 8.0000 0.5608
QuantileBeta(0.15, 0.00500, 5.73640) = 3.927853e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 8.42838) = 2.596821e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
C 124.640578 0 1.8610 3437
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.954802e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88298) = 3.821254e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88257) = 3.821542e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.88278) = 3.821398e-161 2000 rounds
| 38/46
66 h-m-p 1.5964 8.0000 0.6538
QuantileBeta(0.15, 0.00500, 6.92648) = 3.202377e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.05759) = 2.154721e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 11.11315) = 1.940634e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
Y 124.640578 0 6.7649 3495
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.173594e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30593) = 2.100213e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30536) = 2.100335e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.30564) = 2.100274e-161 2000 rounds
| 38/46
67 h-m-p 1.6000 8.0000 1.3912
QuantileBeta(0.15, 0.00500, 12.53150) = 1.712048e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 19.20905) = 1.101258e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
C 124.640578 0 2.0733 3552
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.679942e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18999) = 1.623273e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
| 38/46
68 h-m-p 1.6000 8.0000 0.1266
QuantileBeta(0.15, 0.00500, 12.98740) = 1.649588e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.37967) = 1.733910e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
Y 124.640578 0 0.9224 3601
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.695535e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07352) = 1.638298e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07286) = 1.638384e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.07319) = 1.638341e-161 2000 rounds
| 38/46
69 h-m-p 0.0952 8.0000 1.2270
QuantileBeta(0.15, 0.00500, 13.18998) = 1.623274e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.54035) = 1.579689e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 14.94184) = 1.426482e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
Y 124.640578 0 0.6515 3659
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.594240e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540462e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
| 38/46
70 h-m-p 0.1218 8.0000 6.5652
QuantileBeta(0.15, 0.00500, 14.67208) = 1.453618e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 17.07041) = 1.243328e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
Y 124.640578 0 0.0648 3708
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.545141e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29785) = 1.493019e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29784) = 1.493020e-161 2000 rounds
| 38/46
71 h-m-p 0.2146 7.2142 1.9812
QuantileBeta(0.15, 0.00500, 13.87264) = 1.540463e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.19154) = 1.504605e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.27127) = 1.495900e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29120) = 1.493739e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29618) = 1.493200e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29743) = 1.493065e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29774) = 1.493031e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
C 124.640578 0 0.0000 3763
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.545144e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493022e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29782) = 1.493023e-161 2000 rounds
| 38/46
72 h-m-p 1.2287 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 14.29779) = 1.493026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29772) = 1.493034e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
Y 124.640578 0 2.3267 3812
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.545149e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29812) = 1.492990e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29742) = 1.493066e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29777) = 1.493028e-161 2000 rounds
| 38/46
73 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29771) = 1.493035e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
Y 124.640578 0 1.1056 3869
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.545150e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29811) = 1.492992e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29741) = 1.493067e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29776) = 1.493029e-161 2000 rounds
| 38/46
74 h-m-p 1.5183 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29772) = 1.493034e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
C 124.640578 0 1.2218 3926
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.545151e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29810) = 1.492993e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29740) = 1.493068e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
| 38/46
75 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 14.29774) = 1.493031e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
Y 124.640578 0 0.0000 3997
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
Out..
lnL = -124.640578
3998 lfun, 47976 eigenQcodon, 1803098 P(t)
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
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) = -126.710567 S = -115.262231 -12.707179
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 16 patterns 20:56
did 16 / 16 patterns 20:56
QuantileBeta(0.15, 0.00500, 14.29775) = 1.493030e-161 2000 rounds
end of tree file.
Time used: 20:56
The loglikelihoods for models M1, M2, M7 and M8 are -124.640578 -124.640578 -124.644644 -124.640578 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIIQASNVTGFLFTSVFIYFFALF
PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFFFTSVFIYFFALF
PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV ------------------------------------------------------------
S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV MFLGLFPYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALF
KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIIFCTLIGRLCLVCFYSWRYKNAL
PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV KASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV KASSLRRNYVMLAARFAVIFIYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV ----------MLAARFAVVFLYCPLLYYCGALLDATIICCALIGRLCLVCFYSWRYKNAL
S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV RASSLRRNYIMLAARFAVIFLSVAHL----------------------------------
KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV KASSLRRNYTMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV KASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNAL
PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV KASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNAL
********:.: . *
KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQAAD
IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQEAD
USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV FIILNTTTLSFLNGKAAYYDGKSIVVLEGGDHYITFGNSFVAFVSSINLYLAIRGRQEAD
PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQEAD
NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV FIIFNTTTLSFLNGKADYYDGKSIVILEGGDHYITFGNSFVAFVSSI------RGRQEAD
85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV FIIFNTTTLSFLNGKAAYY-GKSVVILEGGDHYITFGNSFVAFVSNIDLYLAIRGRQEAD
S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV ---------------------------------------LAGFV----------------
KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSNIDLYLAIRGRQEAD
USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAVRGRQEAD
PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV FIIFNTTTLSFLNGKAAFMTANPL------------------------------------
HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV FVIFNTTTLSFLNGKADYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLHLAIRGRQEAD
PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV FIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEAD
KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV LHLLRTVELLDGKKLYVFSQHHIVGITNAAFDSIQLDEYATISE
IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV LHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV LHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV LHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV LHLLRTVELLDGKKLCVFSQHQIVGITNAAFDSIQLDEYATISE
S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV --------------------------------------------
KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV --------------------------------------------
HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV LHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV LQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
>KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTATTCAAGCTTCTAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTATTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTTTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAGATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCAATTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCAATTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGATGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTACTGTGGTGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTCGTTGCTTTCGTTAGTAGCATTAACTTGTATCTAGCTATACGTGGGCGGCAAGCAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCATATTGTTGGCATTACTAATGCTGCATTTGATTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGACGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCTTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTACTGTGGTGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGATCATTACATCACTTTTGGCAACTCTTTCGTTGCTTTCGTTAGTAGCATCAACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGATTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGATGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGGCAAGCTTCAAATGTGACTGGTTTTTTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTACTGTGGTGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCCTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGGTTCTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTCGTTGCTTTCGTTAGTAGCATTAACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGATTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCAATTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCCAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTATTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGACGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCTTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTCGCTGTCATCTTTATTTATTGCCCACTTTTATATTACTGTGGCGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGTTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGATCATTACATCACTTTTGGCAACTCTTTCGTTGCTTTCGTTAGTAGCATTAACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGATTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAGCATT------------------CGTGGGCGGCAAGAAGCCGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ATGTTGGCAGCGCGTTTTGCTGTCGTCTTTCTCTATTGCCCACTTTTATATTACTGTGGTGCACTTTTAGATGCAACTATTATTTGTTGCGCACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTTTTTATTATCTTTAATACTACGACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTAC---GGCAAATCCGTTGTGATTCTAGAAGGTGGCGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAACATTGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTGTGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCTAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTATTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAGATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCGAAGTCTGCCAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAGAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTTTTCTTTCTGTTGCACACTTA---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------TTGGCAGGCTTTGTT------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ >KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAACATTGACTTGTATCTAGCTATCCGCGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCTAACTTGTCTTCGGACGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAGCATTGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCCGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATACTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAGCATCGACTTGTATCTAGCTGTACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGATGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTACTGTGGTGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTTTATGACGGCAAATCCATTG------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ >HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTGTTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGATTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTACCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATAGACACAGTCGTCAAAGATGTCTCTAAGTCTGCCAACTTGTCTTCGGATGCTGTCCAAGAGTTGGAGCTTAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACTGGTTTTCTTTTCACCAGTGTTTTTATTTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATGTTATGTTGGCAGCGCGTTTTGCTGTCATCTTTCTTTATTGCCCACTTTTATATTACTGTGGTGCATTTTTAGATGCAACTATTATCTGTTGCACACTTATTGGCAGGCTCTTTTTAGTCTGCTTTTATTCCTGGCGCTATAAAAATGCGCTCTTTATTATCTTTAATACTACTACACTTTCTTTTCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTCTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTCGTTGCTTTCGTTAGTAGCATTAACTTGCATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACATCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV ATGTTTCTTGGACTTTTTCAATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTTGTTAGTAGCATCGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCTGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA >PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV ATGTTTCTTGGACTTTTTCCATACACGATTGACACAGTTGTCAAAGATGTCTCAAAGTCTGCTAACTTGTCTTTGGATGCTGTCCAAGAGTTGGAGCTCAATGTAGTTCCAATTAGACAAGCTTCAAATGTGACGGGTTTTCTTTTCACCAGTGTTTTTATCTACTTCTTTGCACTGTTTAAAGCGTCTTCTTTGAGGCGCAATTATATTATGTTGGCAGCGCGTTTTGCTGTCATTGTTCTTTATTGCCCACTTTTATATTATTGTGGTGCATTTTTAGATGCAACTATTATTTGTTGCACACTTATTGGCAGGCTTTGTTTAGTCTGCTTTTACTCCTGGCGCTATAAAAATGCGCTCTTTATTATTTTTAATACTACGACACTTTCTTTCCTCAATGGTAAAGCAGCTTATTATGACGGCAAATCCATTGTGATTTTAGAAGGTGGTGACCATTACATCACTTTTGGCAACTCTTTTGTTGCTTTCGTTAGTAGCATTGACTTGTATCTAGCTATACGTGGGCGGCAAGAAGCCGACCTACAGCTGTTGCGAACTGTTGAGCTTCTTGATGGCAAGAAGCTTTATGTCTTTTCGCAACATCAAATTGTTGGCATTACTAATGCTGCATTTGACTCAATTCAACTAGACGAGTATGCTACAATTAGTGAA
>KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIIQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIIFCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQAADLHLLRTVELLDGKKLYVFSQHHIVGITNAAFDSIQLDEYATISE >IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQEADLHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFFFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIILNTTTLSFLNGKAAYYDGKSIVVLEGGDHYITFGNSFVAFVSSINLYLAIRGRQEADLHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPILYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFIYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLYLAIRGRQEADLHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKADYYDGKSIVILEGGDHYITFGNSFVAFVSSI------RGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV ----------------------------------------------------------------------MLAARFAVVFLYCPLLYYCGALLDATIICCALIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYY-GKSVVILEGGDHYITFGNSFVAFVSNIDLYLAIRGRQEADLHLLRTVELLDGKKLCVFSQHQIVGITNAAFDSIQLDEYATISE >S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFRASSLRRNYIMLAARFAVIFLSVAHL-------------------------------------------------------------------------LAGFV------------------------------------------------------------ >KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSNIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYTMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAVRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAFMTANPL-------------------------------------------------------------------------------- >HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFVIFNTTTLSFLNGKADYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSSDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYVMLAARFAVIFLYCPLLYYCGAFLDATIICCTLIGRLFLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSINLHLAIRGRQEADLHLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV MFLGLFQYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE >PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV MFLGLFPYTIDTVVKDVSKSANLSLDAVQELELNVVPIRQASNVTGFLFTSVFIYFFALFKASSLRRNYIMLAARFAVIVLYCPLLYYCGAFLDATIICCTLIGRLCLVCFYSWRYKNALFIIFNTTTLSFLNGKAAYYDGKSIVILEGGDHYITFGNSFVAFVSSIDLYLAIRGRQEADLQLLRTVELLDGKKLYVFSQHQIVGITNAAFDSIQLDEYATISE
Reading sequence file /data//pss_subsets/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml/fasta/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result.1
Found 30 sequences of length 672
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.6%
Found 35 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 4
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 9 polymorphic sites
**p-Value(s)**
----------
NSS: 1.04e-01 (1000 permutations)
Max Chi^2: 5.95e-01 (1000 permutations)
PHI (Permutation): 1.20e-01 (1000 permutations)
PHI (Normal): 9.61e-02
#NEXUS
[ID: 0336882482]
begin taxa;
dimensions ntax=30;
taxlabels
CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV
PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV
HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV
HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV
S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV
KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV
IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV
OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV
HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV
YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV
USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV
PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV
CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV
KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV
MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV
PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV
FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV
FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV
IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV
LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV
NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV
85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV
USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV
PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV
GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV
GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV
USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV
PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV
GDS32_ORF3_QCQ19997_1_2013_02_06_China_Swine_PEDV
;
end;
begin trees;
translate
1 CH_SCZG_2017_ORF3_AZL47199_1_2017_01_05_China_Swine_PEDV,
2 PEDV_1842_2016_ITA_ORF3_AQY61720_1_2016_01_28_Italy_Swine_PEDV,
3 HM2017_NA_QER78628_1_2016_03_China_Swine_PEDV,
4 HLJBY_NA_AKJ85724_1_NA_China_Swine_PEDV,
5 S97_NA_QCO95405_1_2018_04_18_South_Korea_Swine_PEDV,
6 KNU_1305_ORF3_AID66721_1_2013_12_South_Korea_Swine_PEDV,
7 IBR_4_JPN_2014_ORF3_BAT33306_1_2014_04_Japan_Pig_PEDV,
8 OH9097_14_ORF3_ALM31945_1_2014_10_19_USA_Swine_PEDV,
9 HUA_14PED96_NA_ALR74758_1_2014_10_15_Viet_Nam_Swine_PEDV,
10 YN60_NA_ALM09376_1_2014_02_05_China_Swine_PEDV,
11 USA_Iowa161_2014_NA_AKJ21978_1_2014_02_17_USA_Swine_PEDV,
12 PEDV_8C_ORF3_AJP67409_1_NA_China_Swine_PEDV,
13 CH_SCAZ10_2017_ORF3_AZL47211_1_2017_11_27_China_Swine_PEDV,
14 KNU_1909_NA_QOC68775_1_2019_03_South_Korea_Swine_PEDV,
15 MEX_104_2013_NA_AID57106_1_2013_11_03_Mexico_Swine_PEDV,
16 PEDV_GER_L01015_K01_15_05_2015_mp_SNQ28058_1_NA_NA_Unknown_PEDV,
17 FL2013_NA_AKO90056_1_2013_07_China_Swine_PEDV,
18 FR_001_2014_ORF3_AKE47379_1_2014_12_01_France_Swine_PEDV,
19 IA2_ORF3_AGY31035_1_2013_USA_Swine_PEDV,
20 LW_L_NA_QBM00062_1_2010_02_China_Swine_PEDV,
21 NW17_ORF3_ATY72307_1_2015_China_Swine_PEDV,
22 85_7_mutant1_ORF3_AST13222_1_2015_09_China_Unknown_PEDV,
23 PEDV_1456_Zaragoza_Egea_de_los_Caballeros_ORF3_QKV43734_1_2014_04_29_Spain_Swine_PEDV,
24 USA_Minnesota309_2014_NA_AKJ22122_1_2014_04_17_USA_Swine_PEDV,
25 PEDV_MEX_GTO_02_2016_NA_AVU05341_1_2016_07_19_Mexico_Swine_PEDV,
26 GDS19_ORF3_QCQ19877_1_2012_06_04_China_Swine_PEDV,
27 GDS26_ORF3_QCQ19829_1_2012_09_17_China_Swine_PEDV,
28 USA_Kansas29_2013_NA_AID56680_1_2013_07_15_USA_Swine_PEDV,
29 PEDV_MEX_JAL_04_2017_NA_AVU05390_1_2017_02_20_Mexico_Swine_PEDV,
30 GDS32_ORF3_QCQ19997_1_2013_02_06_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 = (1:2.069890e-03,(5:7.582722e-04,14:4.066062e-03)1.000:3.248529e-03,((2:7.604364e-04,16:7.487089e-04,18:7.789676e-04)0.978:1.875201e-03,((((((((3:6.810195e-03,13:2.438498e-03)0.997:3.633090e-03,10:2.205836e-02,17:2.670790e-03,20:5.123956e-03,30:2.936784e-03)1.000:7.743356e-03,22:1.771200e-02)0.915:5.447562e-03,26:1.355298e-03)0.998:1.426255e-02,21:1.998244e-03)0.775:1.899951e-03,12:1.872214e-03)0.805:1.888559e-03,6:4.041338e-03)0.820:2.088240e-03,27:3.151223e-03)0.716:1.847257e-03,4:3.485874e-02,7:7.387632e-04,8:7.741748e-04,9:3.808397e-03,11:7.605667e-04,15:7.773509e-04,19:7.369013e-04,23:7.487546e-04,24:7.739946e-04,25:7.419173e-04,28:7.656202e-04,29:7.676732e-04)0.625:1.889108e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:2.069890e-03,(5:7.582722e-04,14:4.066062e-03):3.248529e-03,((2:7.604364e-04,16:7.487089e-04,18:7.789676e-04):1.875201e-03,((((((((3:6.810195e-03,13:2.438498e-03):3.633090e-03,10:2.205836e-02,17:2.670790e-03,20:5.123956e-03,30:2.936784e-03):7.743356e-03,22:1.771200e-02):5.447562e-03,26:1.355298e-03):1.426255e-02,21:1.998244e-03):1.899951e-03,12:1.872214e-03):1.888559e-03,6:4.041338e-03):2.088240e-03,27:3.151223e-03):1.847257e-03,4:3.485874e-02,7:7.387632e-04,8:7.741748e-04,9:3.808397e-03,11:7.605667e-04,15:7.773509e-04,19:7.369013e-04,23:7.487546e-04,24:7.739946e-04,25:7.419173e-04,28:7.656202e-04,29:7.676732e-04):1.889108e-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 -1597.94 -1631.77
2 -1597.88 -1626.60
--------------------------------------
TOTAL -1597.91 -1631.08
--------------------------------------
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} 0.209584 0.000672 0.159976 0.260605 0.207728 712.79 1106.90 1.000
r(A<->C){all} 0.141028 0.001540 0.071792 0.221910 0.138815 513.84 557.94 1.000
r(A<->G){all} 0.200779 0.002161 0.111705 0.291271 0.197789 583.95 609.66 1.000
r(A<->T){all} 0.075992 0.000555 0.030503 0.120984 0.073421 861.54 921.14 1.000
r(C<->G){all} 0.065990 0.000999 0.014304 0.131858 0.062268 640.46 674.29 1.000
r(C<->T){all} 0.396777 0.002607 0.295763 0.496783 0.394717 553.08 598.70 1.000
r(G<->T){all} 0.119434 0.000905 0.060891 0.175061 0.117081 802.42 827.70 1.000
pi(A){all} 0.229424 0.000237 0.200886 0.260892 0.229206 1126.69 1177.43 1.000
pi(C){all} 0.195045 0.000220 0.167692 0.224765 0.194943 755.62 830.44 1.000
pi(G){all} 0.197214 0.000203 0.170236 0.224697 0.196959 915.12 991.74 1.000
pi(T){all} 0.378318 0.000315 0.343173 0.413175 0.378483 1156.69 1173.12 1.000
alpha{1,2} 0.838821 0.633646 0.000494 2.340800 0.605708 800.73 1001.44 1.000
alpha{3} 1.333005 1.033418 0.073511 3.307808 1.030137 1195.30 1261.90 1.000
pinvar{all} 0.308232 0.027115 0.000129 0.568187 0.313706 523.68 688.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/LZW_NA_AIJ01342_1_2012_02_China_Unknown_PEDV.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 16
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 2 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 1 1 1 1 1 1 | Cys TGT 0 0 0 0 0 0
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 1 1 1 1 1 1
Leu TTA 1 1 1 1 1 1 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 1 2 2 1 2 | Pro CCT 0 0 0 0 0 0 | His CAT 0 0 0 0 0 0 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 0 0 0 0 0 0 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 2 1 1 2 0 | Thr ACT 0 0 0 0 0 0 | Asn AAT 0 0 0 0 0 0 | Ser AGT 0 0 0 0 0 0
ATC 0 0 0 0 0 1 | ACC 0 0 0 0 0 0 | AAC 0 0 0 0 0 0 | AGC 0 0 0 0 0 0
ATA 0 0 0 0 0 0 | ACA 0 0 0 0 0 0 | Lys AAA 0 0 0 0 0 0 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 0 0 0 0 0 0 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 1 1 1 1 1 0 | Ala GCT 1 1 1 1 1 1 | Asp GAT 0 0 0 0 0 0 | Gly GGT 0 0 0 0 0 0
GTC 1 1 1 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 0 0 0 0 0 0
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 0 0 0 0 0 0 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 2 1 2 1 1 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 1 1 1 1 1 1 | Cys TGT 0 0 0 0 0 0
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 1 1 1 1 1 1
Leu TTA 1 1 1 1 1 1 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 1 2 | Pro CCT 0 0 0 0 0 0 | His CAT 0 0 0 0 0 0 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 0 0 0 0 0 0 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 0 1 0 2 1 | Thr ACT 0 0 0 0 0 0 | Asn AAT 0 0 0 0 0 0 | Ser AGT 0 0 0 0 0 0
ATC 0 1 0 1 0 0 | ACC 0 0 0 0 0 0 | AAC 0 0 0 0 0 0 | AGC 0 0 0 0 0 0
ATA 0 0 0 0 0 0 | ACA 0 0 0 0 0 0 | Lys AAA 0 0 0 0 0 0 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 0 0 0 0 0 0 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 1 0 1 0 1 1 | Ala GCT 1 1 1 1 1 1 | Asp GAT 0 0 0 0 0 0 | Gly GGT 0 0 0 0 0 0
GTC 1 1 1 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 0 0 0 0 0 0
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 0 0 0 0 0 0 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 2 1 2 1 | Ser TCT 0 0 0 0 1 0 | Tyr TAT 1 1 1 1 0 1 | Cys TGT 0 0 0 0 0 0
TTC 1 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 1 1 1 1 0 1
Leu TTA 1 1 1 1 1 1 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 1 2 1 2 1 2 | Pro CCT 0 0 0 0 0 0 | His CAT 0 0 0 0 0 0 | Arg CGT 1 1 1 1 1 1
CTC 0 0 1 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 1 0 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 0 1 | Gln CAA 0 0 0 0 0 0 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 1 0 1 1 1 | Thr ACT 0 0 0 0 0 0 | Asn AAT 0 0 0 0 0 0 | Ser AGT 0 0 0 0 0 0
ATC 1 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 0 0 0 0 0 0 | AGC 0 0 0 0 0 0
ATA 0 0 0 0 0 0 | ACA 0 0 0 0 0 0 | Lys AAA 0 0 0 0 0 0 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 0 0 0 0 0 0 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 0 1 0 1 1 1 | Ala GCT 1 1 1 1 1 1 | Asp GAT 0 0 0 0 0 0 | Gly GGT 0 0 0 0 0 0
GTC 1 1 2 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 0 0 0 0 0 0
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 2 1 | Glu GAA 0 0 0 0 0 0 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 2 1 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 1 1 1 1 1 1 | Cys TGT 0 0 0 0 0 0
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 1 1 1 1 1 1
Leu TTA 1 1 1 1 1 1 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 0 0 0 0 0 0 | His CAT 0 0 0 0 0 0 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 0 0 0 0 0 0 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 1 1 1 0 1 | Thr ACT 0 0 0 0 0 0 | Asn AAT 0 0 0 0 0 0 | Ser AGT 0 0 0 0 0 0
ATC 0 0 0 0 1 0 | ACC 0 0 0 0 0 0 | AAC 0 0 0 0 0 0 | AGC 0 0 0 0 0 0
ATA 0 0 0 0 0 0 | ACA 0 0 0 0 0 0 | Lys AAA 0 0 0 0 0 0 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 0 0 0 0 0 0 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 1 1 1 1 0 1 | Ala GCT 1 1 1 1 1 1 | Asp GAT 0 0 0 0 0 0 | Gly GGT 0 0 0 0 0 0
GTC 1 1 1 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 0 0 0 0 0 0
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 0 0 0 0 0 0 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 2 1 2 1 1 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 1 1 1 1 1 1 | Cys TGT 0 0 0 0 0 0
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 1 1 1 1 1 1
Leu TTA 1 1 1 1 1 1 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 0 0 0 0 0 0 | His CAT 0 0 0 0 0 0 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 0 0 0 0 0 0 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 0 1 0 1 1 | Thr ACT 0 0 0 0 0 0 | Asn AAT 0 0 0 0 0 0 | Ser AGT 0 0 0 0 0 0
ATC 0 1 0 1 0 0 | ACC 0 0 0 0 0 0 | AAC 0 0 0 0 0 0 | AGC 0 0 0 0 0 0
ATA 0 0 0 0 0 0 | ACA 0 0 0 0 0 0 | Lys AAA 0 0 0 0 0 0 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 0 0 0 0 0 0 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 1 0 1 0 1 1 | Ala GCT 1 1 1 1 1 1 | Asp GAT 0 0 0 0 0 0 | Gly GGT 0 0 0 0 0 0
GTC 1 1 1 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 0 0 0 0 0 0
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 0 0 0 0 0 0 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C258
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#2: C367
position 1: T:0.31250 C:0.18750 A:0.18750 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.18750 A:0.14583 G:0.20833
#3: C270
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#4: C517
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#5: C111
position 1: T:0.31250 C:0.18750 A:0.18750 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.18750 A:0.14583 G:0.20833
#6: C109
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#7: C190
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#8: C60
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#9: C533
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#10: C266
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#11: C325
position 1: T:0.31250 C:0.18750 A:0.18750 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.18750 A:0.14583 G:0.20833
#12: C65
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#13: C183
position 1: T:0.37500 C:0.18750 A:0.18750 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.37500 C:0.25000 A:0.18750 G:0.18750
Average T:0.43750 C:0.22917 A:0.14583 G:0.18750
#14: C284
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#15: C7
position 1: T:0.37500 C:0.25000 A:0.06250 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.37500 C:0.25000 A:0.18750 G:0.18750
Average T:0.43750 C:0.25000 A:0.10417 G:0.20833
#16: C438
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#17: C182
position 1: T:0.31250 C:0.18750 A:0.12500 G:0.37500
position 2: T:0.56250 C:0.31250 A:0.06250 G:0.06250
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#18: C229
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#19: C562
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#20: C314
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#21: C292
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#22: C194
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#23: C129
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#24: C136
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#25: C385
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#26: C657
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#27: C185
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#28: C142
position 1: T:0.37500 C:0.25000 A:0.12500 G:0.25000
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.43750 C:0.18750 A:0.18750 G:0.18750
Average T:0.45833 C:0.22917 A:0.12500 G:0.18750
#29: C391
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
#30: C337
position 1: T:0.31250 C:0.25000 A:0.12500 G:0.31250
position 2: T:0.56250 C:0.25000 A:0.06250 G:0.12500
position 3: T:0.50000 C:0.12500 A:0.18750 G:0.18750
Average T:0.45833 C:0.20833 A:0.12500 G:0.20833
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 38 | Ser S TCT 1 | Tyr Y TAT 29 | Cys C TGT 0
TTC 1 | TCC 0 | TAC 0 | TGC 29
Leu L TTA 30 | TCA 0 | *** * TAA 0 | *** * TGA 0
TTG 30 | TCG 0 | TAG 0 | Trp W TGG 0
------------------------------------------------------------------------------
Leu L CTT 54 | Pro P CCT 0 | His H CAT 0 | Arg R CGT 30
CTC 1 | CCC 0 | CAC 1 | CGC 0
CTA 0 | CCA 29 | Gln Q CAA 0 | CGA 0
CTG 0 | CCG 0 | CAG 0 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 26 | Thr T ACT 0 | Asn N AAT 0 | Ser S AGT 0
ATC 7 | ACC 0 | AAC 0 | AGC 0
ATA 0 | ACA 0 | Lys K AAA 0 | Arg R AGA 0
Met M ATG 30 | ACG 0 | AAG 0 | AGG 0
------------------------------------------------------------------------------
Val V GTT 22 | Ala A GCT 30 | Asp D GAT 0 | Gly G GGT 0
GTC 31 | GCC 0 | GAC 0 | GGC 0
GTA 0 | GCA 31 | Glu E GAA 0 | GGA 0
GTG 0 | GCG 30 | GAG 0 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.32917 C:0.23958 A:0.13125 G:0.30000
position 2: T:0.56250 C:0.25208 A:0.06250 G:0.12292
position 3: T:0.47917 C:0.14583 A:0.18750 G:0.18750
Average T:0.45694 C:0.21250 A:0.12708 G:0.20347
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
lnL(ntime: 41 np: 44): -124.640578 +0.000000
31..12 31..32 32..16 32..1 31..33 33..34 34..11 34..2 34..5 33..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..13 42..8 41..26 41..6 41..10 41..28 40..15 39..23 38..14 37..30 36..18 35..24 33..17 33..22 33..21 33..27 33..4 33..3 33..7 33..20 33..19 33..25 33..9 33..29
0.000004 0.000004 0.000004 0.000004 0.000004 0.066567 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.137328 0.000004 0.000004 0.000004 0.143385 0.000004 0.000004 0.000004 0.000004 0.000004 0.141538 0.000004 0.000004 0.000004 0.000004 0.000004 0.624127 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 1.119659 0.271843 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 1.113089
(12: 0.000004, (16: 0.000004, 1: 0.000004): 0.000004, ((11: 0.000004, 2: 0.000004, 5: 0.000004): 0.066567, ((((((((13: 0.143385, 8: 0.000004): 0.000004, 26: 0.000004, 6: 0.000004, 10: 0.000004, 28: 0.000004): 0.000004, 15: 0.141538): 0.000004, 23: 0.000004): 0.137328, 14: 0.000004): 0.000004, 30: 0.000004): 0.000004, 18: 0.000004): 0.000004, 24: 0.000004): 0.000004, 17: 0.624127, 22: 0.000004, 21: 0.000004, 27: 0.000004, 4: 0.000004, 3: 0.000004, 7: 0.000004, 20: 0.000004, 19: 0.000004, 25: 0.000004, 9: 0.000004, 29: 0.000004): 0.000004);
(C65: 0.000004, (C438: 0.000004, C258: 0.000004): 0.000004, ((C325: 0.000004, C367: 0.000004, C111: 0.000004): 0.066567, ((((((((C183: 0.143385, C60: 0.000004): 0.000004, C657: 0.000004, C109: 0.000004, C266: 0.000004, C142: 0.000004): 0.000004, C7: 0.141538): 0.000004, C129: 0.000004): 0.137328, C284: 0.000004): 0.000004, C337: 0.000004): 0.000004, C229: 0.000004): 0.000004, C136: 0.000004): 0.000004, C182: 0.624127, C194: 0.000004, C292: 0.000004, C185: 0.000004, C517: 0.000004, C270: 0.000004, C190: 0.000004, C314: 0.000004, C562: 0.000004, C385: 0.000004, C533: 0.000004, C391: 0.000004): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 1.11966
MLEs of dN/dS (w) for site classes (K=2)
p: 0.27184 0.72816
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..32 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..16 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..1 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..33 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..34 0.067 35.0 13.0 0.7282 0.0202 0.0277 0.7 0.4
34..11 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..2 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..5 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..35 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..36 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..37 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..38 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..39 0.137 35.0 13.0 0.7282 0.0416 0.0571 1.5 0.7
39..40 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..41 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..42 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
42..13 0.143 35.0 13.0 0.7282 0.0434 0.0596 1.5 0.8
42..8 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..26 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..6 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..10 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..28 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..15 0.142 35.0 13.0 0.7282 0.0428 0.0588 1.5 0.8
39..23 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..14 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..30 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..18 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..24 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..17 0.624 35.0 13.0 0.7282 0.1889 0.2595 6.6 3.4
33..22 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..21 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..27 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..4 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..3 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..7 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..20 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..19 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..25 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..9 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..29 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
Time used: 1:06
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
lnL(ntime: 41 np: 46): -124.640578 +0.000000
31..12 31..32 32..16 32..1 31..33 33..34 34..11 34..2 34..5 33..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..13 42..8 41..26 41..6 41..10 41..28 40..15 39..23 38..14 37..30 36..18 35..24 33..17 33..22 33..21 33..27 33..4 33..3 33..7 33..20 33..19 33..25 33..9 33..29
0.000004 0.000004 0.000004 0.000004 0.000004 0.066567 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.137328 0.000004 0.000004 0.000004 0.143385 0.000004 0.000004 0.000004 0.000004 0.000004 0.141538 0.000004 0.000004 0.000004 0.000004 0.000004 0.624127 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 1.119659 0.271843 0.535104 0.000001 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 1.113089
(12: 0.000004, (16: 0.000004, 1: 0.000004): 0.000004, ((11: 0.000004, 2: 0.000004, 5: 0.000004): 0.066567, ((((((((13: 0.143385, 8: 0.000004): 0.000004, 26: 0.000004, 6: 0.000004, 10: 0.000004, 28: 0.000004): 0.000004, 15: 0.141538): 0.000004, 23: 0.000004): 0.137328, 14: 0.000004): 0.000004, 30: 0.000004): 0.000004, 18: 0.000004): 0.000004, 24: 0.000004): 0.000004, 17: 0.624127, 22: 0.000004, 21: 0.000004, 27: 0.000004, 4: 0.000004, 3: 0.000004, 7: 0.000004, 20: 0.000004, 19: 0.000004, 25: 0.000004, 9: 0.000004, 29: 0.000004): 0.000004);
(C65: 0.000004, (C438: 0.000004, C258: 0.000004): 0.000004, ((C325: 0.000004, C367: 0.000004, C111: 0.000004): 0.066567, ((((((((C183: 0.143385, C60: 0.000004): 0.000004, C657: 0.000004, C109: 0.000004, C266: 0.000004, C142: 0.000004): 0.000004, C7: 0.141538): 0.000004, C129: 0.000004): 0.137328, C284: 0.000004): 0.000004, C337: 0.000004): 0.000004, C229: 0.000004): 0.000004, C136: 0.000004): 0.000004, C182: 0.624127, C194: 0.000004, C292: 0.000004, C185: 0.000004, C517: 0.000004, C270: 0.000004, C190: 0.000004, C314: 0.000004, C562: 0.000004, C385: 0.000004, C533: 0.000004, C391: 0.000004): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 1.11966
MLEs of dN/dS (w) for site classes (K=3)
p: 0.27184 0.53510 0.19305
w: 0.00000 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..32 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..16 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..1 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..33 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..34 0.067 35.0 13.0 0.7282 0.0202 0.0277 0.7 0.4
34..11 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..2 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..5 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..35 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..36 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..37 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..38 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..39 0.137 35.0 13.0 0.7282 0.0416 0.0571 1.5 0.7
39..40 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..41 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..42 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
42..13 0.143 35.0 13.0 0.7282 0.0434 0.0596 1.5 0.8
42..8 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..26 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..6 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..10 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..28 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..15 0.142 35.0 13.0 0.7282 0.0428 0.0588 1.5 0.8
39..23 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..14 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..30 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..18 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..24 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..17 0.624 35.0 13.0 0.7282 0.1889 0.2595 6.6 3.4
33..22 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..21 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..27 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..4 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..3 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..7 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..20 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..19 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..25 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..9 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..29 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
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: C258)
Pr(w>1) post mean +- SE for w
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: 0.098 0.110 0.120 0.125 0.124 0.115 0.101 0.084 0.068 0.054
w2: 0.245 0.149 0.111 0.092 0.081 0.074 0.068 0.063 0.060 0.057
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.019
0.008 0.016 0.025
0.004 0.007 0.012 0.021 0.031
0.002 0.004 0.006 0.010 0.015 0.026 0.034
0.001 0.002 0.003 0.005 0.008 0.013 0.018 0.029 0.036
0.001 0.001 0.002 0.003 0.004 0.007 0.010 0.015 0.019 0.029 0.034
0.001 0.001 0.001 0.002 0.003 0.004 0.006 0.008 0.011 0.016 0.019 0.028 0.032
0.000 0.001 0.001 0.001 0.002 0.003 0.004 0.005 0.006 0.009 0.011 0.016 0.018 0.026 0.029
0.000 0.000 0.001 0.001 0.002 0.002 0.003 0.004 0.004 0.006 0.007 0.009 0.010 0.015 0.017 0.023 0.026
0.000 0.000 0.001 0.001 0.001 0.002 0.002 0.003 0.003 0.004 0.005 0.006 0.007 0.009 0.010 0.014 0.015 0.021 0.023
sum of density on p0-p1 = 1.000000
Time used: 3:41
Model 7: beta (10 categories)
TREE # 1: (12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
lnL(ntime: 41 np: 44): -124.644644 +0.000000
31..12 31..32 32..16 32..1 31..33 33..34 34..11 34..2 34..5 33..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..13 42..8 41..26 41..6 41..10 41..28 40..15 39..23 38..14 37..30 36..18 35..24 33..17 33..22 33..21 33..27 33..4 33..3 33..7 33..20 33..19 33..25 33..9 33..29
0.000004 0.000004 0.000004 0.000004 0.000004 0.066234 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.136768 0.000004 0.000004 0.000004 0.142549 0.000004 0.000004 0.000004 0.000004 0.000004 0.140960 0.000004 0.000004 0.000004 0.000004 0.000004 0.623424 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 1.105038 0.035088 0.017355
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 1.110079
(12: 0.000004, (16: 0.000004, 1: 0.000004): 0.000004, ((11: 0.000004, 2: 0.000004, 5: 0.000004): 0.066234, ((((((((13: 0.142549, 8: 0.000004): 0.000004, 26: 0.000004, 6: 0.000004, 10: 0.000004, 28: 0.000004): 0.000004, 15: 0.140960): 0.000004, 23: 0.000004): 0.136768, 14: 0.000004): 0.000004, 30: 0.000004): 0.000004, 18: 0.000004): 0.000004, 24: 0.000004): 0.000004, 17: 0.623424, 22: 0.000004, 21: 0.000004, 27: 0.000004, 4: 0.000004, 3: 0.000004, 7: 0.000004, 20: 0.000004, 19: 0.000004, 25: 0.000004, 9: 0.000004, 29: 0.000004): 0.000004);
(C65: 0.000004, (C438: 0.000004, C258: 0.000004): 0.000004, ((C325: 0.000004, C367: 0.000004, C111: 0.000004): 0.066234, ((((((((C183: 0.142549, C60: 0.000004): 0.000004, C657: 0.000004, C109: 0.000004, C266: 0.000004, C142: 0.000004): 0.000004, C7: 0.140960): 0.000004, C129: 0.000004): 0.136768, C284: 0.000004): 0.000004, C337: 0.000004): 0.000004, C229: 0.000004): 0.000004, C136: 0.000004): 0.000004, C182: 0.623424, C194: 0.000004, C292: 0.000004, C185: 0.000004, C517: 0.000004, C270: 0.000004, C190: 0.000004, C314: 0.000004, C562: 0.000004, C385: 0.000004, C533: 0.000004, C391: 0.000004): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 1.10504
Parameters in M7 (beta):
p = 0.03509 q = 0.01735
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 0.00033 0.84721 0.99999 1.00000 1.00000 1.00000 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
31..32 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
32..16 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
32..1 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
31..33 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..34 0.066 35.0 13.0 0.6848 0.0196 0.0287 0.7 0.4
34..11 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
34..2 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
34..5 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..35 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
35..36 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
36..37 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
37..38 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
38..39 0.137 35.0 13.0 0.6848 0.0405 0.0592 1.4 0.8
39..40 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
40..41 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
41..42 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
42..13 0.143 35.0 13.0 0.6848 0.0423 0.0617 1.5 0.8
42..8 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
41..26 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
41..6 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
41..10 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
41..28 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
40..15 0.141 35.0 13.0 0.6848 0.0418 0.0610 1.5 0.8
39..23 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
38..14 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
37..30 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
36..18 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
35..24 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..17 0.623 35.0 13.0 0.6848 0.1848 0.2699 6.5 3.5
33..22 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..21 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..27 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..4 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..3 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..7 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..20 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..19 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..25 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..9 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
33..29 0.000 35.0 13.0 0.6848 0.0000 0.0000 0.0 0.0
Time used: 12:12
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, (16, 1), ((11, 2, 5), ((((((((13, 8), 26, 6, 10, 28), 15), 23), 14), 30), 18), 24), 17, 22, 21, 27, 4, 3, 7, 20, 19, 25, 9, 29)); MP score: 12
lnL(ntime: 41 np: 46): -124.640578 +0.000000
31..12 31..32 32..16 32..1 31..33 33..34 34..11 34..2 34..5 33..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..13 42..8 41..26 41..6 41..10 41..28 40..15 39..23 38..14 37..30 36..18 35..24 33..17 33..22 33..21 33..27 33..4 33..3 33..7 33..20 33..19 33..25 33..9 33..29
0.000004 0.000004 0.000004 0.000004 0.000004 0.066567 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.137328 0.000004 0.000004 0.000004 0.143385 0.000004 0.000004 0.000004 0.000004 0.000004 0.141538 0.000004 0.000004 0.000004 0.000004 0.000004 0.624127 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 1.119659 0.271843 0.005000 14.297751 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 1.113090
(12: 0.000004, (16: 0.000004, 1: 0.000004): 0.000004, ((11: 0.000004, 2: 0.000004, 5: 0.000004): 0.066567, ((((((((13: 0.143385, 8: 0.000004): 0.000004, 26: 0.000004, 6: 0.000004, 10: 0.000004, 28: 0.000004): 0.000004, 15: 0.141538): 0.000004, 23: 0.000004): 0.137328, 14: 0.000004): 0.000004, 30: 0.000004): 0.000004, 18: 0.000004): 0.000004, 24: 0.000004): 0.000004, 17: 0.624127, 22: 0.000004, 21: 0.000004, 27: 0.000004, 4: 0.000004, 3: 0.000004, 7: 0.000004, 20: 0.000004, 19: 0.000004, 25: 0.000004, 9: 0.000004, 29: 0.000004): 0.000004);
(C65: 0.000004, (C438: 0.000004, C258: 0.000004): 0.000004, ((C325: 0.000004, C367: 0.000004, C111: 0.000004): 0.066567, ((((((((C183: 0.143385, C60: 0.000004): 0.000004, C657: 0.000004, C109: 0.000004, C266: 0.000004, C142: 0.000004): 0.000004, C7: 0.141538): 0.000004, C129: 0.000004): 0.137328, C284: 0.000004): 0.000004, C337: 0.000004): 0.000004, C229: 0.000004): 0.000004, C136: 0.000004): 0.000004, C182: 0.624127, C194: 0.000004, C292: 0.000004, C185: 0.000004, C517: 0.000004, C270: 0.000004, C190: 0.000004, C314: 0.000004, C562: 0.000004, C385: 0.000004, C533: 0.000004, C391: 0.000004): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 1.11966
Parameters in M8 (beta&w>1):
p0 = 0.27184 p = 0.00500 q = 14.29775
(p1 = 0.72816) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.02718 0.02718 0.02718 0.02718 0.02718 0.02718 0.02718 0.02718 0.02718 0.02718 0.72816
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..32 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..16 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
32..1 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
31..33 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..34 0.067 35.0 13.0 0.7282 0.0202 0.0277 0.7 0.4
34..11 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..2 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
34..5 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..35 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..36 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..37 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..38 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..39 0.137 35.0 13.0 0.7282 0.0416 0.0571 1.5 0.7
39..40 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..41 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..42 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
42..13 0.143 35.0 13.0 0.7282 0.0434 0.0596 1.5 0.8
42..8 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..26 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..6 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..10 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
41..28 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
40..15 0.142 35.0 13.0 0.7282 0.0428 0.0588 1.5 0.8
39..23 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
38..14 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
37..30 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
36..18 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
35..24 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..17 0.624 35.0 13.0 0.7282 0.1889 0.2595 6.6 3.4
33..22 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..21 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..27 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..4 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..3 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..7 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..20 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..19 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..25 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..9 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
33..29 0.000 35.0 13.0 0.7282 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
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: C258)
Pr(w>1) post mean +- SE for w
13 C 0.578 2.497 +- 2.483
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: 0.003 0.007 0.016 0.028 0.045 0.067 0.098 0.148 0.233 0.354
p : 0.048 0.074 0.091 0.103 0.111 0.115 0.116 0.116 0.114 0.112
q : 0.079 0.100 0.109 0.111 0.110 0.107 0.103 0.098 0.093 0.089
ws: 0.329 0.165 0.108 0.082 0.068 0.059 0.053 0.048 0.045 0.042
Time used: 20:56
Model 1: NearlyNeutral -124.640578 Model 2: PositiveSelection -124.640578 Model 7: beta -124.644644 Model 8: beta&w>1 -124.640578 Model 2 vs 1 0 Model 8 vs 7 .008132
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
