--- 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 -1063.44 -1092.47
2 -1066.14 -1092.09
--------------------------------------
TOTAL -1064.07 -1092.30
--------------------------------------
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} 0.039507 0.000106 0.020128 0.058597 0.038153 734.47 1117.73 1.000
r(A<->C){all} 0.044523 0.001851 0.000009 0.128537 0.032093 104.97 144.47 1.000
r(A<->G){all} 0.134127 0.004582 0.015229 0.259500 0.124370 182.54 224.61 1.000
r(A<->T){all} 0.051103 0.001357 0.001756 0.125681 0.042489 197.62 276.79 1.000
r(C<->G){all} 0.056361 0.002931 0.000022 0.169161 0.038053 133.48 169.12 1.002
r(C<->T){all} 0.628058 0.009331 0.443979 0.815674 0.628751 113.95 147.16 1.001
r(G<->T){all} 0.085827 0.002655 0.003387 0.186040 0.076495 169.29 223.29 1.001
pi(A){all} 0.229118 0.000248 0.199014 0.260011 0.228598 891.74 911.00 1.000
pi(C){all} 0.164482 0.000190 0.138925 0.193458 0.164366 690.74 796.71 1.000
pi(G){all} 0.170430 0.000210 0.143493 0.199813 0.170284 811.31 848.06 1.001
pi(T){all} 0.435970 0.000343 0.400952 0.472872 0.436028 744.23 757.51 1.001
alpha{1,2} 1.157004 1.032890 0.000036 3.122554 0.867713 782.46 807.52 1.000
alpha{3} 0.652398 0.591226 0.000174 2.144866 0.380692 646.79 753.34 1.000
pinvar{all} 0.713134 0.029204 0.347904 0.938372 0.757427 266.45 284.65 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -1033.976870
Model 2: PositiveSelection -1033.698020
Model 7: beta -1033.989400
Model 8: beta&w>1 -1033.698010
Model 2 vs 1 .557700
Model 8 vs 7 .582780
-- Starting log on Sat Nov 05 01:39:57 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 01:40:31 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 02:18:18 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/gapped_alignment/codeml,NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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 678 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C1
Taxon 2 -> C10
Taxon 3 -> C11
Taxon 4 -> C12
Taxon 5 -> C13
Taxon 6 -> C15
Taxon 7 -> C16
Taxon 8 -> C17
Taxon 9 -> C19
Taxon 10 -> C20
Taxon 11 -> C22
Taxon 12 -> C23
Taxon 13 -> C24
Taxon 14 -> C25
Taxon 15 -> C35
Taxon 16 -> C39
Taxon 17 -> C4
Taxon 18 -> C40
Taxon 19 -> C41
Taxon 20 -> C44
Taxon 21 -> C47
Taxon 22 -> C48
Taxon 23 -> C49
Taxon 24 -> C52
Taxon 25 -> C54
Taxon 26 -> C55
Taxon 27 -> C6
Taxon 28 -> C7
Taxon 29 -> C8
Taxon 30 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667614701
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) = 226114245
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 = 3246306871
Seed = 568425597
Swapseed = 1667614701
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 10 unique site patterns
Division 2 has 8 unique site patterns
Division 3 has 16 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 -- -1703.141500 -- 82.122948
Chain 2 -- -1706.496025 -- 82.122948
Chain 3 -- -1668.825107 -- 82.122948
Chain 4 -- -1704.971363 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1697.503333 -- 82.122948
Chain 2 -- -1698.921015 -- 82.122948
Chain 3 -- -1704.736360 -- 82.122948
Chain 4 -- -1698.256411 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1703.141] (-1706.496) (-1668.825) (-1704.971) * [-1697.503] (-1698.921) (-1704.736) (-1698.256)
1000 -- (-1133.843) [-1124.151] (-1110.116) (-1154.145) * [-1149.703] (-1149.546) (-1169.722) (-1129.065) -- 0:00:00
2000 -- [-1082.261] (-1104.905) (-1100.636) (-1096.207) * [-1097.684] (-1114.686) (-1135.152) (-1089.010) -- 0:00:00
3000 -- [-1080.746] (-1083.675) (-1093.983) (-1097.292) * (-1097.658) (-1093.651) (-1103.700) [-1074.952] -- 0:05:32
4000 -- (-1076.819) (-1096.285) (-1093.716) [-1088.415] * (-1083.001) (-1092.603) (-1102.072) [-1071.068] -- 0:04:09
5000 -- (-1069.581) (-1100.223) (-1081.728) [-1078.623] * (-1081.930) (-1098.706) (-1091.992) [-1073.055] -- 0:06:38
Average standard deviation of split frequencies: 0.090302
6000 -- (-1076.335) (-1087.368) [-1088.386] (-1095.720) * [-1073.956] (-1088.455) (-1100.664) (-1076.104) -- 0:05:31
7000 -- (-1078.395) (-1095.970) (-1083.906) [-1078.618] * (-1098.083) (-1084.550) [-1082.595] (-1081.548) -- 0:07:05
8000 -- (-1069.735) [-1071.827] (-1116.479) (-1087.410) * (-1083.702) (-1087.172) (-1128.983) [-1074.839] -- 0:06:12
9000 -- [-1066.975] (-1080.195) (-1106.363) (-1081.333) * [-1074.402] (-1086.723) (-1123.124) (-1078.743) -- 0:07:20
10000 -- (-1080.900) [-1079.275] (-1129.182) (-1082.989) * [-1074.349] (-1081.964) (-1132.385) (-1077.732) -- 0:06:36
Average standard deviation of split frequencies: 0.088388
11000 -- (-1077.579) [-1072.444] (-1110.210) (-1078.690) * [-1075.980] (-1084.161) (-1139.465) (-1072.323) -- 0:07:29
12000 -- [-1073.641] (-1075.183) (-1102.530) (-1095.468) * (-1083.088) [-1077.251] (-1128.522) (-1089.461) -- 0:06:51
13000 -- [-1070.589] (-1070.682) (-1111.251) (-1104.886) * (-1083.830) [-1073.777] (-1128.775) (-1073.212) -- 0:06:19
14000 -- (-1070.885) [-1071.088] (-1123.460) (-1102.310) * (-1081.105) [-1068.132] (-1130.088) (-1078.666) -- 0:07:02
15000 -- (-1070.989) [-1064.805] (-1122.005) (-1116.878) * [-1080.322] (-1076.895) (-1134.190) (-1091.620) -- 0:06:34
Average standard deviation of split frequencies: 0.071095
16000 -- [-1072.856] (-1083.323) (-1113.176) (-1126.231) * [-1076.208] (-1080.886) (-1126.784) (-1097.883) -- 0:07:10
17000 -- [-1079.061] (-1099.642) (-1116.503) (-1122.844) * [-1078.269] (-1090.312) (-1144.788) (-1082.735) -- 0:06:44
18000 -- [-1073.775] (-1089.136) (-1107.296) (-1117.399) * [-1080.228] (-1092.568) (-1147.143) (-1086.075) -- 0:07:16
19000 -- [-1068.279] (-1091.154) (-1104.827) (-1103.272) * (-1080.677) (-1090.879) (-1125.238) [-1075.408] -- 0:06:53
20000 -- [-1069.262] (-1081.699) (-1109.547) (-1104.167) * (-1086.315) (-1084.710) (-1143.534) [-1078.071] -- 0:07:21
Average standard deviation of split frequencies: 0.050422
21000 -- [-1072.257] (-1078.742) (-1108.330) (-1105.775) * [-1073.749] (-1080.754) (-1139.155) (-1079.912) -- 0:06:59
22000 -- [-1073.277] (-1079.125) (-1116.514) (-1113.074) * (-1088.394) (-1105.363) (-1127.171) [-1080.301] -- 0:07:24
23000 -- [-1069.246] (-1075.768) (-1113.654) (-1115.870) * (-1081.917) (-1127.308) (-1134.809) [-1066.281] -- 0:07:04
24000 -- [-1073.672] (-1087.198) (-1100.795) (-1115.474) * (-1082.997) (-1134.992) (-1144.764) [-1067.630] -- 0:06:46
25000 -- (-1070.900) [-1070.800] (-1109.150) (-1123.626) * [-1075.107] (-1138.010) (-1125.948) (-1070.658) -- 0:07:09
Average standard deviation of split frequencies: 0.050993
26000 -- [-1079.270] (-1081.959) (-1104.708) (-1126.833) * (-1080.990) (-1115.696) (-1121.291) [-1067.620] -- 0:06:52
27000 -- [-1072.928] (-1070.181) (-1118.149) (-1118.809) * (-1085.283) (-1121.787) (-1110.433) [-1071.828] -- 0:07:12
28000 -- [-1074.808] (-1080.524) (-1116.216) (-1121.179) * (-1090.227) (-1118.117) (-1127.995) [-1069.508] -- 0:06:56
29000 -- [-1074.081] (-1080.846) (-1123.893) (-1120.928) * (-1084.159) (-1113.353) (-1119.307) [-1069.659] -- 0:07:15
30000 -- [-1082.311] (-1072.315) (-1124.033) (-1117.618) * (-1077.518) (-1122.140) (-1122.649) [-1065.995] -- 0:07:00
Average standard deviation of split frequencies: 0.059238
31000 -- [-1068.220] (-1084.859) (-1115.777) (-1109.781) * (-1084.807) (-1124.304) (-1127.714) [-1073.730] -- 0:07:17
32000 -- (-1078.027) [-1071.586] (-1122.725) (-1121.280) * (-1076.336) (-1115.667) (-1134.074) [-1080.760] -- 0:07:03
33000 -- (-1086.235) [-1069.865] (-1119.781) (-1111.773) * (-1073.181) (-1119.853) (-1109.489) [-1076.564] -- 0:06:50
34000 -- (-1071.990) [-1076.275] (-1144.865) (-1116.481) * (-1095.238) (-1124.874) (-1125.556) [-1080.796] -- 0:07:06
35000 -- (-1076.515) [-1071.310] (-1127.367) (-1122.748) * (-1079.390) (-1111.638) (-1127.162) [-1081.250] -- 0:06:53
Average standard deviation of split frequencies: 0.067967
36000 -- [-1082.718] (-1075.504) (-1106.668) (-1122.234) * (-1098.821) (-1114.938) (-1119.114) [-1085.565] -- 0:07:08
37000 -- (-1081.032) [-1075.271] (-1104.786) (-1108.579) * [-1069.782] (-1122.577) (-1110.509) (-1079.952) -- 0:06:56
38000 -- [-1077.458] (-1072.435) (-1118.705) (-1118.304) * (-1073.724) (-1131.628) (-1119.368) [-1073.801] -- 0:07:10
39000 -- (-1084.342) [-1068.640] (-1112.144) (-1122.273) * [-1076.026] (-1126.536) (-1125.154) (-1078.006) -- 0:06:58
40000 -- (-1080.104) [-1072.675] (-1108.781) (-1117.487) * [-1073.031] (-1130.436) (-1138.337) (-1093.775) -- 0:07:12
Average standard deviation of split frequencies: 0.067707
41000 -- [-1075.370] (-1081.669) (-1113.549) (-1107.227) * [-1064.650] (-1128.515) (-1120.841) (-1080.145) -- 0:07:01
42000 -- [-1077.686] (-1090.870) (-1108.580) (-1119.443) * [-1078.751] (-1119.185) (-1112.079) (-1092.430) -- 0:06:50
43000 -- (-1084.474) [-1080.467] (-1130.947) (-1122.039) * [-1070.604] (-1117.280) (-1121.954) (-1091.463) -- 0:07:02
44000 -- (-1076.920) [-1082.877] (-1112.911) (-1117.449) * [-1083.007] (-1106.194) (-1113.313) (-1103.901) -- 0:06:52
45000 -- [-1072.685] (-1084.623) (-1122.549) (-1105.264) * [-1074.351] (-1116.738) (-1125.995) (-1083.102) -- 0:07:04
Average standard deviation of split frequencies: 0.056250
46000 -- (-1074.328) [-1088.357] (-1112.817) (-1110.982) * [-1073.515] (-1117.557) (-1122.627) (-1086.777) -- 0:06:54
47000 -- [-1073.250] (-1089.557) (-1107.071) (-1108.364) * [-1077.698] (-1111.369) (-1132.194) (-1075.277) -- 0:07:05
48000 -- (-1072.413) [-1077.062] (-1106.397) (-1129.739) * [-1069.989] (-1109.765) (-1120.646) (-1081.366) -- 0:06:56
49000 -- [-1074.990] (-1086.431) (-1118.633) (-1122.872) * [-1080.855] (-1109.755) (-1128.236) (-1087.865) -- 0:07:06
50000 -- (-1081.347) [-1075.679] (-1113.483) (-1121.315) * [-1077.486] (-1116.149) (-1116.068) (-1085.946) -- 0:06:58
Average standard deviation of split frequencies: 0.049243
51000 -- (-1080.580) [-1071.849] (-1101.536) (-1115.895) * [-1072.106] (-1123.348) (-1119.549) (-1076.804) -- 0:06:49
52000 -- (-1081.096) [-1073.594] (-1100.556) (-1114.580) * [-1070.798] (-1116.156) (-1123.374) (-1075.057) -- 0:06:59
53000 -- (-1076.801) [-1082.085] (-1101.023) (-1111.999) * (-1086.388) (-1116.816) (-1119.706) [-1077.197] -- 0:06:50
54000 -- (-1094.943) [-1081.497] (-1111.225) (-1122.171) * (-1086.933) (-1114.197) (-1111.688) [-1069.775] -- 0:07:00
55000 -- (-1090.624) [-1076.364] (-1110.935) (-1119.808) * [-1074.326] (-1121.115) (-1125.818) (-1073.112) -- 0:06:52
Average standard deviation of split frequencies: 0.044032
56000 -- (-1086.857) [-1071.466] (-1119.760) (-1111.981) * [-1085.455] (-1133.231) (-1132.531) (-1080.964) -- 0:07:01
57000 -- [-1067.856] (-1089.778) (-1123.227) (-1109.815) * [-1072.394] (-1124.808) (-1121.583) (-1082.942) -- 0:06:53
58000 -- (-1073.225) [-1082.492] (-1111.993) (-1113.164) * (-1074.772) (-1114.084) (-1130.843) [-1067.514] -- 0:06:46
59000 -- (-1082.979) [-1078.254] (-1113.077) (-1112.158) * [-1078.073] (-1116.344) (-1121.067) (-1080.187) -- 0:06:54
60000 -- (-1095.893) [-1080.489] (-1120.242) (-1106.749) * (-1085.638) (-1120.681) (-1112.379) [-1070.202] -- 0:06:47
Average standard deviation of split frequencies: 0.041306
61000 -- [-1084.272] (-1080.437) (-1123.728) (-1122.975) * (-1088.096) (-1127.279) (-1121.175) [-1072.340] -- 0:06:55
62000 -- (-1085.025) [-1074.589] (-1120.690) (-1113.962) * (-1078.327) (-1116.767) (-1119.219) [-1081.971] -- 0:06:48
63000 -- [-1064.345] (-1089.649) (-1115.887) (-1102.484) * (-1078.053) (-1107.947) (-1109.082) [-1076.752] -- 0:06:56
64000 -- [-1063.250] (-1085.183) (-1118.564) (-1119.084) * (-1073.963) (-1109.539) (-1114.954) [-1078.969] -- 0:06:49
65000 -- [-1076.002] (-1090.122) (-1107.638) (-1119.080) * (-1087.752) (-1123.849) (-1118.260) [-1072.283] -- 0:06:57
Average standard deviation of split frequencies: 0.035177
66000 -- (-1094.511) [-1073.752] (-1107.892) (-1122.361) * [-1075.490] (-1111.813) (-1116.147) (-1072.997) -- 0:06:50
67000 -- [-1072.795] (-1083.955) (-1112.575) (-1130.176) * (-1076.046) (-1118.796) (-1113.125) [-1082.093] -- 0:06:43
68000 -- [-1072.093] (-1081.496) (-1127.273) (-1116.524) * [-1078.498] (-1107.787) (-1126.215) (-1086.337) -- 0:06:51
69000 -- [-1068.712] (-1069.954) (-1126.761) (-1109.564) * [-1073.291] (-1111.106) (-1118.806) (-1088.809) -- 0:06:44
70000 -- (-1085.868) [-1082.736] (-1120.761) (-1117.295) * (-1073.149) (-1118.659) (-1121.709) [-1070.233] -- 0:06:51
Average standard deviation of split frequencies: 0.031815
71000 -- (-1085.379) [-1080.568] (-1111.534) (-1128.466) * (-1071.950) (-1110.579) (-1116.257) [-1080.605] -- 0:06:45
72000 -- (-1082.425) [-1083.895] (-1122.669) (-1110.599) * (-1072.578) (-1105.806) (-1126.904) [-1083.692] -- 0:06:52
73000 -- (-1066.583) [-1074.255] (-1103.756) (-1115.439) * (-1089.870) (-1113.650) (-1115.527) [-1087.408] -- 0:06:46
74000 -- [-1074.896] (-1074.525) (-1124.769) (-1105.319) * [-1074.316] (-1111.655) (-1121.539) (-1082.378) -- 0:06:40
75000 -- (-1075.191) [-1069.689] (-1111.237) (-1114.327) * [-1081.807] (-1118.306) (-1122.659) (-1081.039) -- 0:06:47
Average standard deviation of split frequencies: 0.031013
76000 -- (-1078.974) [-1075.109] (-1125.765) (-1113.598) * [-1078.084] (-1115.240) (-1113.320) (-1089.487) -- 0:06:41
77000 -- (-1079.532) [-1078.703] (-1122.754) (-1120.151) * [-1069.682] (-1119.039) (-1129.646) (-1077.720) -- 0:06:47
78000 -- [-1074.625] (-1075.827) (-1113.996) (-1130.565) * (-1076.484) (-1119.845) (-1121.625) [-1084.140] -- 0:06:41
79000 -- [-1085.947] (-1083.684) (-1106.135) (-1128.393) * [-1066.858] (-1116.593) (-1130.727) (-1083.833) -- 0:06:48
80000 -- [-1083.042] (-1081.256) (-1110.807) (-1115.238) * (-1073.614) (-1120.819) (-1129.423) [-1076.430] -- 0:06:42
Average standard deviation of split frequencies: 0.028903
81000 -- (-1077.143) [-1072.131] (-1119.246) (-1115.163) * [-1073.760] (-1124.287) (-1131.883) (-1069.106) -- 0:06:37
82000 -- [-1072.991] (-1076.813) (-1107.089) (-1105.752) * [-1070.438] (-1120.900) (-1119.407) (-1078.808) -- 0:06:43
83000 -- (-1077.605) [-1075.849] (-1115.095) (-1111.604) * (-1073.299) (-1121.723) (-1120.726) [-1074.603] -- 0:06:37
84000 -- (-1081.660) [-1078.902] (-1102.337) (-1117.831) * (-1077.402) (-1123.551) (-1109.310) [-1070.839] -- 0:06:43
85000 -- (-1079.470) [-1073.146] (-1117.545) (-1112.092) * [-1082.634] (-1113.933) (-1115.128) (-1071.614) -- 0:06:38
Average standard deviation of split frequencies: 0.030666
86000 -- (-1081.789) [-1084.979] (-1109.569) (-1114.802) * (-1071.788) (-1122.981) (-1112.104) [-1070.853] -- 0:06:43
87000 -- (-1079.663) [-1083.632] (-1117.026) (-1116.639) * (-1087.655) (-1130.201) (-1112.226) [-1081.647] -- 0:06:38
88000 -- (-1088.795) [-1087.482] (-1124.559) (-1116.199) * [-1071.512] (-1115.209) (-1121.511) (-1074.588) -- 0:06:44
89000 -- (-1092.820) [-1078.898] (-1103.931) (-1124.150) * (-1076.115) (-1118.982) (-1130.087) [-1073.854] -- 0:06:39
90000 -- [-1081.438] (-1084.691) (-1118.463) (-1123.550) * (-1077.867) (-1109.269) (-1123.859) [-1065.149] -- 0:06:34
Average standard deviation of split frequencies: 0.030040
91000 -- (-1082.403) [-1084.225] (-1110.770) (-1115.448) * (-1084.843) (-1108.425) (-1121.171) [-1069.839] -- 0:06:39
92000 -- (-1079.095) [-1086.729] (-1112.484) (-1124.346) * (-1086.474) (-1112.826) (-1119.149) [-1075.050] -- 0:06:34
93000 -- [-1073.373] (-1077.431) (-1115.728) (-1123.067) * (-1083.206) (-1113.199) (-1139.760) [-1065.418] -- 0:06:39
94000 -- [-1071.803] (-1077.657) (-1109.641) (-1132.339) * (-1083.826) (-1115.563) (-1136.238) [-1067.458] -- 0:06:35
95000 -- [-1072.202] (-1082.353) (-1109.983) (-1111.681) * (-1083.526) (-1113.681) (-1117.840) [-1069.503] -- 0:06:40
Average standard deviation of split frequencies: 0.025234
96000 -- [-1075.444] (-1083.712) (-1112.932) (-1117.068) * (-1078.949) (-1110.086) (-1109.557) [-1069.917] -- 0:06:35
97000 -- (-1073.601) [-1071.858] (-1116.487) (-1114.726) * (-1079.153) (-1126.404) (-1127.199) [-1072.692] -- 0:06:40
98000 -- [-1065.532] (-1079.739) (-1109.100) (-1115.471) * (-1073.320) (-1115.336) (-1124.457) [-1076.346] -- 0:06:35
99000 -- [-1075.443] (-1092.169) (-1110.075) (-1103.418) * [-1076.186] (-1122.763) (-1131.021) (-1086.308) -- 0:06:31
100000 -- (-1074.521) [-1075.742] (-1114.860) (-1108.933) * (-1082.059) (-1116.238) (-1122.398) [-1072.887] -- 0:06:36
Average standard deviation of split frequencies: 0.023013
101000 -- (-1073.845) [-1077.967] (-1114.948) (-1119.346) * (-1079.778) (-1122.451) (-1127.654) [-1073.838] -- 0:06:31
102000 -- [-1066.802] (-1071.080) (-1118.037) (-1114.883) * (-1093.270) (-1119.682) (-1109.777) [-1076.812] -- 0:06:36
103000 -- [-1074.674] (-1082.705) (-1107.029) (-1119.669) * (-1080.450) (-1100.718) (-1124.570) [-1069.662] -- 0:06:31
104000 -- [-1076.155] (-1080.678) (-1111.846) (-1111.074) * (-1092.449) (-1115.614) (-1127.205) [-1070.284] -- 0:06:36
105000 -- [-1070.670] (-1074.142) (-1117.295) (-1116.585) * (-1087.449) (-1103.570) (-1114.500) [-1074.891] -- 0:06:32
Average standard deviation of split frequencies: 0.022363
106000 -- [-1069.472] (-1074.897) (-1105.507) (-1121.701) * [-1081.100] (-1127.158) (-1116.461) (-1085.133) -- 0:06:36
107000 -- [-1073.611] (-1085.770) (-1116.070) (-1118.570) * [-1079.639] (-1125.188) (-1124.252) (-1088.725) -- 0:06:32
108000 -- [-1068.839] (-1084.714) (-1124.110) (-1113.854) * [-1077.043] (-1117.597) (-1130.465) (-1091.774) -- 0:06:28
109000 -- [-1074.078] (-1093.221) (-1111.278) (-1114.289) * [-1080.607] (-1122.727) (-1121.555) (-1075.860) -- 0:06:32
110000 -- [-1084.676] (-1095.622) (-1127.092) (-1112.838) * (-1074.251) (-1126.607) (-1114.922) [-1070.186] -- 0:06:28
Average standard deviation of split frequencies: 0.023124
111000 -- [-1074.758] (-1088.701) (-1121.245) (-1116.936) * [-1075.315] (-1132.792) (-1117.569) (-1079.014) -- 0:06:32
112000 -- [-1078.027] (-1076.810) (-1117.809) (-1107.350) * [-1082.027] (-1113.513) (-1113.607) (-1074.835) -- 0:06:28
113000 -- [-1083.327] (-1094.635) (-1103.630) (-1107.748) * [-1074.843] (-1125.726) (-1123.618) (-1074.707) -- 0:06:32
114000 -- [-1073.386] (-1085.656) (-1110.287) (-1123.087) * [-1069.795] (-1114.571) (-1117.717) (-1095.926) -- 0:06:28
115000 -- [-1073.175] (-1079.081) (-1102.879) (-1113.015) * (-1076.860) (-1112.140) (-1128.375) [-1079.296] -- 0:06:32
Average standard deviation of split frequencies: 0.023570
116000 -- (-1077.597) [-1068.038] (-1126.210) (-1117.520) * [-1079.037] (-1098.510) (-1126.863) (-1075.476) -- 0:06:28
117000 -- (-1086.806) [-1086.612] (-1127.966) (-1116.180) * (-1100.812) (-1104.108) (-1121.474) [-1073.234] -- 0:06:32
118000 -- [-1085.197] (-1073.032) (-1113.365) (-1123.357) * (-1088.775) (-1105.090) (-1117.804) [-1072.036] -- 0:06:28
119000 -- [-1074.785] (-1087.290) (-1113.028) (-1111.589) * (-1095.335) (-1110.714) (-1119.222) [-1084.173] -- 0:06:24
120000 -- [-1073.937] (-1087.834) (-1103.541) (-1116.421) * [-1081.934] (-1111.781) (-1123.504) (-1087.877) -- 0:06:28
Average standard deviation of split frequencies: 0.020650
121000 -- [-1074.292] (-1085.612) (-1121.490) (-1113.483) * [-1079.302] (-1107.833) (-1117.044) (-1085.837) -- 0:06:25
122000 -- [-1070.985] (-1081.805) (-1131.078) (-1108.909) * [-1072.159] (-1110.459) (-1116.831) (-1090.503) -- 0:06:28
123000 -- (-1083.758) [-1082.196] (-1116.237) (-1119.998) * [-1061.592] (-1115.356) (-1114.626) (-1087.084) -- 0:06:25
124000 -- (-1084.046) [-1070.837] (-1120.705) (-1125.525) * [-1078.331] (-1130.715) (-1108.365) (-1080.976) -- 0:06:28
125000 -- (-1091.532) [-1064.809] (-1112.830) (-1120.437) * (-1084.785) (-1117.909) (-1113.247) [-1080.976] -- 0:06:25
Average standard deviation of split frequencies: 0.020161
126000 -- (-1075.065) [-1074.457] (-1110.027) (-1122.687) * [-1085.674] (-1120.872) (-1121.556) (-1084.978) -- 0:06:21
127000 -- (-1072.630) [-1079.875] (-1104.769) (-1121.769) * (-1084.656) (-1114.905) (-1125.347) [-1076.235] -- 0:06:24
128000 -- (-1095.057) [-1070.341] (-1121.703) (-1119.892) * [-1081.328] (-1105.243) (-1125.120) (-1080.194) -- 0:06:21
129000 -- (-1087.808) [-1071.365] (-1108.756) (-1114.162) * [-1078.338] (-1116.365) (-1137.066) (-1084.565) -- 0:06:24
130000 -- (-1087.519) [-1072.072] (-1102.107) (-1131.137) * (-1082.522) (-1121.070) (-1124.806) [-1073.352] -- 0:06:21
Average standard deviation of split frequencies: 0.018339
131000 -- (-1083.552) [-1077.298] (-1110.368) (-1109.513) * (-1077.639) (-1123.908) (-1121.058) [-1078.934] -- 0:06:24
132000 -- (-1087.803) [-1080.764] (-1116.680) (-1123.223) * [-1073.860] (-1125.282) (-1119.267) (-1088.905) -- 0:06:21
133000 -- (-1081.613) [-1076.601] (-1109.554) (-1117.531) * [-1070.068] (-1107.916) (-1122.481) (-1089.413) -- 0:06:24
134000 -- (-1079.402) [-1074.354] (-1105.246) (-1117.272) * [-1076.000] (-1116.116) (-1116.573) (-1079.679) -- 0:06:21
135000 -- [-1069.679] (-1072.500) (-1109.587) (-1105.003) * [-1073.734] (-1110.630) (-1123.462) (-1083.519) -- 0:06:18
Average standard deviation of split frequencies: 0.018643
136000 -- [-1066.535] (-1080.573) (-1108.935) (-1116.299) * [-1071.653] (-1108.563) (-1118.088) (-1085.478) -- 0:06:21
137000 -- [-1072.869] (-1081.668) (-1099.854) (-1120.129) * [-1065.400] (-1114.196) (-1129.610) (-1098.300) -- 0:06:17
138000 -- [-1072.633] (-1080.024) (-1110.010) (-1127.111) * [-1064.900] (-1106.250) (-1122.011) (-1089.236) -- 0:06:21
139000 -- [-1063.505] (-1078.816) (-1108.177) (-1122.985) * [-1080.177] (-1114.945) (-1115.041) (-1076.688) -- 0:06:17
140000 -- [-1066.361] (-1076.905) (-1112.360) (-1109.109) * (-1079.224) (-1117.535) (-1119.978) [-1075.346] -- 0:06:20
Average standard deviation of split frequencies: 0.021317
141000 -- [-1069.145] (-1079.612) (-1104.303) (-1117.084) * [-1068.582] (-1117.131) (-1133.069) (-1083.378) -- 0:06:17
142000 -- [-1081.773] (-1089.050) (-1112.317) (-1110.318) * (-1071.759) (-1115.533) (-1130.577) [-1071.438] -- 0:06:20
143000 -- [-1073.436] (-1080.647) (-1112.343) (-1119.752) * (-1076.580) (-1118.221) (-1123.588) [-1068.070] -- 0:06:17
144000 -- [-1070.415] (-1090.808) (-1111.288) (-1122.970) * [-1064.848] (-1120.085) (-1128.060) (-1071.283) -- 0:06:14
145000 -- (-1075.584) [-1083.351] (-1104.192) (-1116.165) * [-1073.827] (-1127.983) (-1118.413) (-1077.423) -- 0:06:17
Average standard deviation of split frequencies: 0.023947
146000 -- [-1066.888] (-1078.288) (-1112.657) (-1113.979) * [-1073.869] (-1125.214) (-1111.709) (-1086.137) -- 0:06:14
147000 -- [-1073.150] (-1084.297) (-1107.955) (-1118.739) * [-1079.036] (-1114.201) (-1126.409) (-1094.806) -- 0:06:17
148000 -- [-1077.188] (-1083.296) (-1116.975) (-1119.988) * (-1077.184) (-1114.995) (-1107.483) [-1080.392] -- 0:06:14
149000 -- (-1085.569) [-1086.243] (-1107.280) (-1129.811) * [-1081.798] (-1116.496) (-1122.051) (-1082.443) -- 0:06:16
150000 -- (-1083.013) [-1074.460] (-1115.344) (-1122.113) * [-1087.450] (-1116.190) (-1117.984) (-1088.184) -- 0:06:14
Average standard deviation of split frequencies: 0.022755
151000 -- (-1083.061) [-1073.306] (-1113.920) (-1115.908) * [-1083.638] (-1118.204) (-1114.375) (-1082.392) -- 0:06:11
152000 -- (-1073.809) [-1075.864] (-1118.390) (-1120.427) * [-1083.094] (-1118.999) (-1111.628) (-1087.384) -- 0:06:13
153000 -- (-1085.153) [-1075.450] (-1116.512) (-1116.752) * [-1078.353] (-1116.863) (-1114.267) (-1093.953) -- 0:06:10
154000 -- (-1102.564) [-1069.440] (-1112.210) (-1113.652) * [-1068.272] (-1115.103) (-1134.458) (-1079.938) -- 0:06:13
155000 -- (-1095.809) [-1082.735] (-1108.159) (-1121.517) * [-1074.969] (-1115.167) (-1118.087) (-1081.157) -- 0:06:10
Average standard deviation of split frequencies: 0.021427
156000 -- (-1094.280) [-1073.471] (-1101.779) (-1121.333) * [-1074.094] (-1115.329) (-1124.692) (-1071.382) -- 0:06:13
157000 -- (-1092.017) [-1077.058] (-1118.575) (-1135.073) * [-1077.211] (-1134.103) (-1122.727) (-1073.605) -- 0:06:10
158000 -- (-1099.911) [-1070.486] (-1114.517) (-1107.779) * (-1079.205) (-1121.434) (-1116.203) [-1077.296] -- 0:06:13
159000 -- (-1085.197) [-1077.150] (-1125.181) (-1109.995) * [-1066.613] (-1121.951) (-1127.951) (-1079.103) -- 0:06:10
160000 -- (-1088.116) [-1076.805] (-1111.118) (-1116.649) * [-1066.054] (-1125.184) (-1127.097) (-1078.591) -- 0:06:07
Average standard deviation of split frequencies: 0.019116
161000 -- [-1077.066] (-1080.983) (-1110.506) (-1116.963) * [-1066.140] (-1110.364) (-1115.181) (-1093.768) -- 0:06:09
162000 -- (-1076.940) [-1090.816] (-1108.580) (-1118.510) * [-1068.142] (-1117.232) (-1117.616) (-1092.336) -- 0:06:07
163000 -- [-1063.985] (-1083.231) (-1107.162) (-1114.335) * [-1069.994] (-1123.389) (-1112.012) (-1086.992) -- 0:06:09
164000 -- [-1062.867] (-1081.193) (-1107.962) (-1128.778) * (-1078.366) (-1114.784) (-1111.671) [-1075.530] -- 0:06:07
165000 -- (-1075.614) [-1066.086] (-1100.021) (-1115.179) * [-1074.884] (-1111.638) (-1132.021) (-1074.187) -- 0:06:09
Average standard deviation of split frequencies: 0.019965
166000 -- [-1078.077] (-1078.211) (-1095.642) (-1116.796) * (-1086.032) (-1133.277) (-1122.447) [-1066.500] -- 0:06:06
167000 -- [-1077.740] (-1091.201) (-1126.293) (-1123.807) * [-1077.354] (-1110.527) (-1122.204) (-1083.533) -- 0:06:04
168000 -- (-1085.944) [-1091.193] (-1114.888) (-1108.547) * (-1077.171) (-1123.198) (-1122.603) [-1071.239] -- 0:06:06
169000 -- [-1077.074] (-1089.129) (-1105.132) (-1115.824) * (-1078.110) (-1126.542) (-1125.700) [-1079.659] -- 0:06:03
170000 -- [-1082.770] (-1079.302) (-1109.927) (-1117.534) * [-1073.483] (-1124.703) (-1126.697) (-1078.414) -- 0:06:06
Average standard deviation of split frequencies: 0.022181
171000 -- [-1082.374] (-1079.404) (-1109.193) (-1125.309) * (-1086.941) (-1119.240) (-1128.159) [-1069.029] -- 0:06:03
172000 -- (-1090.421) [-1073.857] (-1106.519) (-1120.870) * (-1097.557) (-1132.331) (-1119.254) [-1076.347] -- 0:06:05
173000 -- (-1098.791) [-1067.317] (-1119.583) (-1129.747) * [-1084.211] (-1130.102) (-1121.614) (-1078.748) -- 0:06:03
174000 -- [-1080.355] (-1080.363) (-1111.900) (-1111.239) * (-1087.844) (-1114.241) (-1122.291) [-1086.417] -- 0:06:05
175000 -- (-1081.483) [-1075.722] (-1115.095) (-1129.664) * (-1084.643) (-1122.404) (-1121.080) [-1079.977] -- 0:06:03
Average standard deviation of split frequencies: 0.022564
176000 -- [-1073.435] (-1080.169) (-1116.861) (-1107.664) * (-1082.795) (-1119.290) (-1128.390) [-1081.349] -- 0:06:00
177000 -- (-1077.479) [-1079.283] (-1106.781) (-1123.636) * [-1071.571] (-1119.298) (-1108.783) (-1076.152) -- 0:06:02
178000 -- [-1090.315] (-1081.898) (-1108.448) (-1118.345) * (-1067.408) (-1116.867) (-1124.733) [-1080.478] -- 0:06:00
179000 -- (-1091.637) [-1077.571] (-1126.589) (-1108.383) * [-1079.057] (-1119.280) (-1116.594) (-1087.058) -- 0:06:02
180000 -- [-1077.046] (-1074.125) (-1109.321) (-1118.450) * [-1072.685] (-1133.527) (-1115.918) (-1103.142) -- 0:05:59
Average standard deviation of split frequencies: 0.021718
181000 -- [-1073.422] (-1071.999) (-1120.229) (-1114.355) * [-1071.319] (-1123.543) (-1127.270) (-1097.892) -- 0:06:01
182000 -- [-1073.378] (-1066.241) (-1119.226) (-1112.016) * [-1066.900] (-1131.159) (-1118.092) (-1102.498) -- 0:05:59
183000 -- [-1066.359] (-1070.032) (-1125.289) (-1117.846) * [-1066.611] (-1121.772) (-1114.164) (-1099.097) -- 0:06:01
184000 -- [-1067.860] (-1063.522) (-1117.455) (-1115.446) * [-1069.939] (-1111.998) (-1108.594) (-1084.973) -- 0:05:59
185000 -- (-1070.508) [-1067.928] (-1113.839) (-1107.416) * [-1074.351] (-1118.033) (-1108.740) (-1080.642) -- 0:05:56
Average standard deviation of split frequencies: 0.021468
186000 -- (-1072.529) [-1066.859] (-1111.276) (-1110.773) * (-1085.757) (-1113.224) (-1125.980) [-1075.424] -- 0:05:58
187000 -- (-1083.396) [-1068.920] (-1098.893) (-1131.130) * [-1085.870] (-1111.029) (-1113.148) (-1076.300) -- 0:05:56
188000 -- [-1065.929] (-1080.393) (-1107.687) (-1135.030) * (-1083.371) (-1114.825) (-1120.784) [-1078.301] -- 0:05:58
189000 -- [-1075.650] (-1082.152) (-1120.363) (-1118.331) * [-1065.211] (-1113.436) (-1125.518) (-1085.122) -- 0:05:56
190000 -- (-1075.095) [-1074.246] (-1114.817) (-1110.449) * [-1069.882] (-1107.955) (-1118.946) (-1078.150) -- 0:05:58
Average standard deviation of split frequencies: 0.020943
191000 -- (-1080.705) [-1069.043] (-1119.222) (-1122.430) * [-1078.787] (-1115.339) (-1129.217) (-1092.763) -- 0:05:55
192000 -- [-1085.470] (-1076.265) (-1119.488) (-1112.529) * (-1081.850) (-1113.988) (-1129.113) [-1088.855] -- 0:05:57
193000 -- (-1078.370) [-1082.491] (-1125.286) (-1128.249) * [-1077.097] (-1113.675) (-1117.423) (-1075.048) -- 0:05:55
194000 -- [-1063.388] (-1083.566) (-1121.979) (-1112.709) * (-1091.602) (-1116.290) (-1124.463) [-1072.349] -- 0:05:53
195000 -- [-1080.607] (-1088.766) (-1107.260) (-1108.420) * (-1094.462) (-1121.424) (-1124.556) [-1071.781] -- 0:05:55
Average standard deviation of split frequencies: 0.019948
196000 -- [-1076.837] (-1088.093) (-1108.951) (-1124.600) * [-1072.192] (-1109.179) (-1113.522) (-1070.899) -- 0:05:52
197000 -- [-1076.501] (-1081.541) (-1117.440) (-1121.345) * [-1072.867] (-1117.042) (-1129.164) (-1083.459) -- 0:05:54
198000 -- (-1091.516) [-1089.503] (-1112.556) (-1118.694) * (-1082.772) (-1126.445) (-1129.697) [-1080.805] -- 0:05:52
199000 -- (-1085.449) [-1077.468] (-1105.134) (-1108.335) * [-1072.311] (-1118.547) (-1122.185) (-1085.308) -- 0:05:54
200000 -- [-1073.412] (-1084.957) (-1111.903) (-1114.681) * [-1071.743] (-1131.720) (-1117.602) (-1092.766) -- 0:05:52
Average standard deviation of split frequencies: 0.020452
201000 -- (-1081.251) [-1081.750] (-1119.444) (-1114.831) * [-1080.470] (-1120.955) (-1125.979) (-1087.172) -- 0:05:53
202000 -- (-1083.294) [-1088.871] (-1105.834) (-1110.645) * (-1081.808) (-1117.853) (-1117.949) [-1079.366] -- 0:05:51
203000 -- (-1082.672) [-1080.626] (-1107.839) (-1111.331) * [-1074.996] (-1116.396) (-1124.575) (-1086.573) -- 0:05:49
204000 -- (-1099.552) [-1071.277] (-1116.406) (-1111.944) * (-1077.318) (-1123.738) (-1114.960) [-1071.356] -- 0:05:51
205000 -- (-1086.532) [-1077.981] (-1119.986) (-1117.006) * (-1074.721) (-1118.990) (-1124.615) [-1068.840] -- 0:05:49
Average standard deviation of split frequencies: 0.020730
206000 -- (-1085.818) [-1065.933] (-1116.855) (-1114.143) * (-1080.467) (-1121.217) (-1123.820) [-1069.399] -- 0:05:50
207000 -- (-1103.180) [-1067.794] (-1117.295) (-1122.964) * (-1084.194) (-1116.414) (-1121.145) [-1064.383] -- 0:05:48
208000 -- (-1085.291) [-1063.895] (-1107.144) (-1120.314) * (-1083.181) (-1114.806) (-1122.731) [-1072.822] -- 0:05:50
209000 -- (-1090.110) [-1063.642] (-1107.063) (-1118.043) * [-1078.549] (-1116.814) (-1118.835) (-1081.306) -- 0:05:48
210000 -- (-1081.006) [-1072.347] (-1109.890) (-1110.978) * [-1074.416] (-1108.182) (-1119.835) (-1090.336) -- 0:05:49
Average standard deviation of split frequencies: 0.020139
211000 -- [-1072.382] (-1080.034) (-1117.379) (-1106.256) * (-1082.084) (-1119.943) (-1115.559) [-1081.172] -- 0:05:47
212000 -- [-1063.834] (-1082.636) (-1114.267) (-1108.197) * (-1087.943) (-1106.665) (-1115.860) [-1074.063] -- 0:05:45
213000 -- [-1066.057] (-1075.572) (-1103.101) (-1111.833) * [-1080.828] (-1105.709) (-1121.455) (-1086.259) -- 0:05:47
214000 -- [-1078.743] (-1078.216) (-1102.529) (-1117.796) * (-1076.797) (-1120.872) (-1111.220) [-1073.054] -- 0:05:45
215000 -- [-1073.991] (-1084.319) (-1118.024) (-1105.479) * [-1067.823] (-1112.191) (-1130.345) (-1070.099) -- 0:05:46
Average standard deviation of split frequencies: 0.022081
216000 -- [-1070.969] (-1079.334) (-1109.599) (-1122.239) * (-1080.325) (-1123.414) (-1124.590) [-1068.072] -- 0:05:44
217000 -- [-1080.868] (-1070.699) (-1102.482) (-1114.597) * (-1084.824) (-1107.192) (-1124.542) [-1074.246] -- 0:05:46
218000 -- [-1091.639] (-1085.562) (-1103.508) (-1127.384) * (-1084.333) (-1105.689) (-1112.056) [-1073.330] -- 0:05:44
219000 -- [-1083.383] (-1080.386) (-1117.463) (-1097.912) * [-1077.281] (-1121.281) (-1125.152) (-1077.223) -- 0:05:42
220000 -- (-1078.613) [-1074.926] (-1115.397) (-1108.454) * (-1085.971) (-1123.751) (-1117.873) [-1071.317] -- 0:05:43
Average standard deviation of split frequencies: 0.022180
221000 -- (-1084.191) [-1075.528] (-1111.114) (-1113.005) * (-1075.463) (-1121.385) (-1125.839) [-1077.701] -- 0:05:41
222000 -- (-1086.611) [-1073.596] (-1095.381) (-1111.124) * [-1069.176] (-1123.982) (-1120.476) (-1093.571) -- 0:05:43
223000 -- (-1078.391) [-1075.398] (-1109.583) (-1104.321) * [-1077.016] (-1111.122) (-1123.838) (-1088.730) -- 0:05:41
224000 -- [-1077.448] (-1084.701) (-1107.024) (-1120.025) * (-1080.694) (-1111.879) (-1109.226) [-1082.883] -- 0:05:42
225000 -- [-1076.441] (-1088.188) (-1113.836) (-1121.909) * (-1080.878) (-1119.711) (-1114.896) [-1083.382] -- 0:05:41
Average standard deviation of split frequencies: 0.021840
226000 -- [-1068.980] (-1085.899) (-1108.975) (-1122.561) * (-1078.549) (-1124.999) (-1116.939) [-1082.687] -- 0:05:42
227000 -- (-1068.644) [-1088.363] (-1105.293) (-1124.642) * [-1076.347] (-1130.128) (-1119.211) (-1079.646) -- 0:05:40
228000 -- (-1096.184) [-1069.959] (-1119.151) (-1117.492) * [-1080.428] (-1121.223) (-1115.388) (-1090.480) -- 0:05:38
229000 -- (-1073.274) [-1081.068] (-1128.069) (-1114.870) * [-1071.826] (-1122.156) (-1130.293) (-1088.581) -- 0:05:40
230000 -- (-1080.705) [-1079.299] (-1132.123) (-1109.701) * [-1075.972] (-1129.117) (-1118.587) (-1079.190) -- 0:05:38
Average standard deviation of split frequencies: 0.019941
231000 -- (-1070.725) [-1071.574] (-1129.312) (-1104.537) * (-1067.958) (-1129.514) (-1143.115) [-1073.090] -- 0:05:39
232000 -- (-1073.560) [-1082.830] (-1110.713) (-1120.880) * [-1069.272] (-1115.786) (-1138.315) (-1079.076) -- 0:05:37
233000 -- [-1061.864] (-1078.488) (-1102.609) (-1111.095) * (-1065.120) (-1115.369) (-1128.923) [-1073.853] -- 0:05:39
234000 -- (-1080.263) [-1083.489] (-1109.311) (-1122.156) * [-1064.838] (-1116.293) (-1120.784) (-1079.444) -- 0:05:37
235000 -- (-1085.598) [-1077.263] (-1105.547) (-1111.521) * [-1076.504] (-1120.072) (-1129.279) (-1074.934) -- 0:05:38
Average standard deviation of split frequencies: 0.021535
236000 -- [-1074.230] (-1085.714) (-1113.590) (-1110.239) * [-1071.320] (-1117.800) (-1112.703) (-1084.938) -- 0:05:36
237000 -- (-1071.469) [-1068.702] (-1108.313) (-1115.311) * [-1078.798] (-1117.139) (-1118.584) (-1079.062) -- 0:05:34
238000 -- (-1089.173) [-1063.853] (-1125.409) (-1127.570) * [-1072.769] (-1118.902) (-1113.252) (-1085.398) -- 0:05:36
239000 -- (-1083.488) [-1071.768] (-1116.726) (-1116.459) * [-1073.785] (-1115.861) (-1124.552) (-1089.443) -- 0:05:34
240000 -- (-1097.330) [-1075.238] (-1110.171) (-1124.551) * [-1072.638] (-1102.346) (-1135.052) (-1088.416) -- 0:05:35
Average standard deviation of split frequencies: 0.022281
241000 -- [-1091.745] (-1078.191) (-1102.212) (-1130.117) * [-1074.434] (-1117.365) (-1119.758) (-1080.549) -- 0:05:33
242000 -- (-1078.967) [-1084.447] (-1125.942) (-1126.854) * [-1070.237] (-1110.065) (-1117.270) (-1090.861) -- 0:05:35
243000 -- (-1091.297) [-1080.511] (-1105.217) (-1118.390) * [-1068.325] (-1108.761) (-1128.110) (-1082.579) -- 0:05:33
244000 -- [-1080.878] (-1087.882) (-1103.908) (-1112.873) * [-1070.825] (-1112.998) (-1117.812) (-1077.711) -- 0:05:34
245000 -- [-1070.189] (-1098.562) (-1113.645) (-1116.616) * [-1072.702] (-1105.281) (-1128.977) (-1077.973) -- 0:05:32
Average standard deviation of split frequencies: 0.022240
246000 -- [-1070.094] (-1078.685) (-1123.297) (-1112.747) * [-1080.506] (-1118.541) (-1117.910) (-1082.032) -- 0:05:31
247000 -- (-1074.996) [-1078.560] (-1102.017) (-1127.567) * [-1078.094] (-1108.616) (-1110.707) (-1088.980) -- 0:05:32
248000 -- [-1078.370] (-1069.748) (-1110.282) (-1120.160) * [-1071.540] (-1104.066) (-1120.120) (-1101.207) -- 0:05:30
249000 -- (-1077.157) [-1077.379] (-1112.321) (-1131.434) * (-1071.386) (-1121.655) (-1112.476) [-1074.221] -- 0:05:31
250000 -- (-1084.147) [-1081.523] (-1101.773) (-1118.026) * (-1073.678) (-1108.813) (-1109.385) [-1078.580] -- 0:05:30
Average standard deviation of split frequencies: 0.022681
251000 -- [-1080.707] (-1082.407) (-1113.386) (-1115.756) * (-1076.363) (-1117.597) (-1121.658) [-1076.558] -- 0:05:31
252000 -- (-1077.924) [-1077.424] (-1107.143) (-1120.304) * [-1079.354] (-1113.108) (-1115.252) (-1077.249) -- 0:05:29
253000 -- [-1073.189] (-1078.579) (-1095.733) (-1120.485) * [-1082.315] (-1113.293) (-1119.410) (-1081.334) -- 0:05:27
254000 -- [-1074.383] (-1077.186) (-1110.849) (-1113.525) * [-1071.825] (-1116.310) (-1119.277) (-1079.813) -- 0:05:28
255000 -- (-1080.684) [-1082.811] (-1116.858) (-1109.979) * (-1075.591) (-1103.768) (-1109.048) [-1080.744] -- 0:05:27
Average standard deviation of split frequencies: 0.023883
256000 -- (-1102.121) [-1071.335] (-1113.463) (-1106.003) * (-1087.247) (-1111.803) (-1121.726) [-1072.265] -- 0:05:28
257000 -- [-1084.109] (-1068.665) (-1119.641) (-1112.165) * [-1070.962] (-1115.256) (-1111.199) (-1072.222) -- 0:05:26
258000 -- [-1079.738] (-1082.557) (-1118.266) (-1109.036) * [-1072.348] (-1125.749) (-1114.730) (-1075.770) -- 0:05:27
259000 -- [-1076.889] (-1076.533) (-1121.644) (-1114.132) * [-1074.996] (-1111.251) (-1116.755) (-1074.889) -- 0:05:26
260000 -- (-1069.462) [-1074.970] (-1113.556) (-1115.821) * (-1079.194) (-1120.713) (-1123.940) [-1074.426] -- 0:05:27
Average standard deviation of split frequencies: 0.021975
261000 -- [-1064.766] (-1066.686) (-1112.926) (-1116.852) * [-1068.560] (-1106.564) (-1125.051) (-1080.583) -- 0:05:25
262000 -- [-1080.793] (-1073.050) (-1101.900) (-1117.033) * [-1074.981] (-1114.184) (-1113.931) (-1072.084) -- 0:05:23
263000 -- (-1098.895) [-1075.442] (-1106.094) (-1122.256) * (-1080.506) (-1105.788) (-1123.528) [-1080.157] -- 0:05:25
264000 -- (-1085.860) [-1075.147] (-1097.891) (-1129.547) * [-1079.834] (-1116.407) (-1116.451) (-1087.203) -- 0:05:23
265000 -- (-1085.798) [-1080.052] (-1111.266) (-1120.230) * [-1070.795] (-1117.308) (-1120.724) (-1079.934) -- 0:05:24
Average standard deviation of split frequencies: 0.021535
266000 -- (-1099.923) [-1087.213] (-1108.098) (-1127.494) * [-1070.813] (-1109.478) (-1126.443) (-1077.353) -- 0:05:22
267000 -- [-1086.078] (-1078.849) (-1109.488) (-1117.993) * [-1066.373] (-1120.726) (-1123.576) (-1082.154) -- 0:05:23
268000 -- [-1091.031] (-1083.853) (-1117.487) (-1127.080) * [-1070.828] (-1119.579) (-1122.785) (-1076.965) -- 0:05:22
269000 -- (-1090.077) [-1068.414] (-1106.831) (-1121.393) * [-1072.906] (-1114.091) (-1122.132) (-1069.337) -- 0:05:20
270000 -- (-1071.998) [-1068.664] (-1115.958) (-1113.499) * [-1069.089] (-1109.020) (-1122.018) (-1071.293) -- 0:05:21
Average standard deviation of split frequencies: 0.018559
271000 -- [-1079.172] (-1084.348) (-1108.544) (-1111.269) * [-1062.711] (-1114.880) (-1113.941) (-1087.537) -- 0:05:20
272000 -- [-1070.003] (-1081.641) (-1116.422) (-1109.864) * [-1066.751] (-1107.557) (-1114.284) (-1084.407) -- 0:05:21
273000 -- [-1065.637] (-1075.706) (-1111.579) (-1113.834) * (-1080.922) (-1110.813) (-1124.936) [-1078.095] -- 0:05:19
274000 -- (-1067.815) [-1077.790] (-1111.969) (-1104.503) * (-1076.093) (-1108.255) (-1123.461) [-1070.479] -- 0:05:20
275000 -- [-1068.792] (-1071.604) (-1113.551) (-1110.269) * (-1081.213) (-1111.006) (-1125.341) [-1064.056] -- 0:05:19
Average standard deviation of split frequencies: 0.018147
276000 -- [-1072.787] (-1073.385) (-1112.515) (-1137.022) * (-1083.074) (-1108.742) (-1129.906) [-1071.834] -- 0:05:20
277000 -- (-1075.548) [-1070.392] (-1116.010) (-1133.857) * (-1101.670) (-1118.262) (-1114.445) [-1080.197] -- 0:05:18
278000 -- [-1070.970] (-1069.353) (-1108.340) (-1122.493) * [-1087.120] (-1108.415) (-1135.191) (-1079.636) -- 0:05:16
279000 -- [-1068.497] (-1089.409) (-1112.752) (-1116.114) * (-1080.489) (-1117.738) (-1118.697) [-1079.004] -- 0:05:17
280000 -- [-1074.966] (-1085.377) (-1102.047) (-1111.469) * [-1085.268] (-1116.648) (-1120.869) (-1082.397) -- 0:05:16
Average standard deviation of split frequencies: 0.018213
281000 -- [-1074.331] (-1093.272) (-1106.303) (-1114.998) * [-1099.145] (-1118.613) (-1122.371) (-1088.645) -- 0:05:17
282000 -- (-1075.453) [-1073.139] (-1111.985) (-1110.354) * (-1080.414) (-1112.698) (-1124.701) [-1082.053] -- 0:05:15
283000 -- (-1088.674) [-1070.999] (-1127.118) (-1121.097) * [-1073.372] (-1111.039) (-1138.456) (-1078.136) -- 0:05:16
284000 -- [-1072.183] (-1064.605) (-1116.480) (-1122.363) * [-1067.635] (-1127.928) (-1118.909) (-1068.496) -- 0:05:15
285000 -- (-1077.703) [-1072.110] (-1111.462) (-1107.198) * (-1086.113) (-1111.492) (-1117.884) [-1072.709] -- 0:05:13
Average standard deviation of split frequencies: 0.018182
286000 -- (-1081.726) [-1076.250] (-1118.326) (-1120.223) * [-1081.622] (-1115.521) (-1111.363) (-1064.506) -- 0:05:14
287000 -- [-1069.500] (-1074.733) (-1116.175) (-1131.601) * (-1083.631) (-1116.864) (-1112.953) [-1071.144] -- 0:05:13
288000 -- (-1072.872) [-1071.591] (-1108.409) (-1109.538) * (-1088.059) (-1115.310) (-1122.149) [-1066.876] -- 0:05:13
289000 -- [-1074.243] (-1084.301) (-1115.420) (-1101.663) * (-1080.259) (-1113.318) (-1119.036) [-1081.920] -- 0:05:12
290000 -- (-1076.758) [-1073.466] (-1103.897) (-1117.240) * [-1080.911] (-1108.050) (-1120.703) (-1074.028) -- 0:05:13
Average standard deviation of split frequencies: 0.017421
291000 -- (-1081.347) [-1079.655] (-1105.392) (-1118.986) * (-1089.970) (-1113.676) (-1134.628) [-1075.177] -- 0:05:11
292000 -- (-1079.646) [-1075.274] (-1106.124) (-1113.540) * [-1086.315] (-1123.466) (-1115.447) (-1084.188) -- 0:05:12
293000 -- (-1069.669) [-1074.507] (-1115.692) (-1129.164) * (-1080.350) (-1107.109) (-1105.342) [-1086.716] -- 0:05:11
294000 -- (-1081.000) [-1075.815] (-1117.186) (-1118.930) * [-1077.502] (-1115.476) (-1127.793) (-1082.015) -- 0:05:09
295000 -- (-1081.387) [-1072.885] (-1120.232) (-1113.233) * [-1071.790] (-1100.225) (-1117.733) (-1078.656) -- 0:05:10
Average standard deviation of split frequencies: 0.017518
296000 -- [-1075.226] (-1086.861) (-1109.396) (-1122.966) * [-1079.473] (-1117.879) (-1114.826) (-1089.949) -- 0:05:09
297000 -- [-1073.386] (-1091.879) (-1106.973) (-1112.789) * [-1077.366] (-1107.626) (-1135.699) (-1096.865) -- 0:05:10
298000 -- [-1070.455] (-1091.155) (-1119.134) (-1105.161) * [-1065.084] (-1107.239) (-1119.437) (-1086.097) -- 0:05:08
299000 -- [-1079.934] (-1078.255) (-1112.005) (-1116.595) * (-1078.988) (-1104.422) (-1136.771) [-1081.992] -- 0:05:09
300000 -- (-1076.529) [-1083.744] (-1110.528) (-1118.162) * [-1081.086] (-1117.885) (-1140.026) (-1078.518) -- 0:05:08
Average standard deviation of split frequencies: 0.017044
301000 -- [-1074.160] (-1090.576) (-1117.609) (-1106.279) * (-1080.082) (-1121.014) (-1119.133) [-1076.431] -- 0:05:06
302000 -- (-1086.060) [-1082.759] (-1111.770) (-1115.081) * [-1084.116] (-1118.563) (-1121.806) (-1077.381) -- 0:05:07
303000 -- [-1067.227] (-1086.000) (-1115.334) (-1119.613) * [-1078.130] (-1126.145) (-1117.713) (-1085.181) -- 0:05:05
304000 -- [-1069.474] (-1084.122) (-1112.948) (-1106.766) * [-1069.125] (-1115.782) (-1127.227) (-1071.624) -- 0:05:06
305000 -- [-1069.562] (-1074.081) (-1112.947) (-1112.385) * (-1076.834) (-1108.136) (-1120.878) [-1082.395] -- 0:05:05
Average standard deviation of split frequencies: 0.017592
306000 -- [-1070.151] (-1084.757) (-1117.073) (-1107.641) * (-1093.869) (-1116.180) (-1135.640) [-1074.278] -- 0:05:06
307000 -- [-1076.554] (-1068.615) (-1104.913) (-1106.490) * (-1098.146) (-1109.860) (-1114.005) [-1079.479] -- 0:05:04
308000 -- (-1079.997) [-1072.392] (-1111.596) (-1134.868) * (-1083.307) (-1111.659) (-1118.387) [-1077.404] -- 0:05:05
309000 -- [-1078.241] (-1079.938) (-1110.076) (-1122.348) * [-1085.097] (-1118.699) (-1107.596) (-1096.699) -- 0:05:04
310000 -- (-1090.156) [-1077.997] (-1134.784) (-1109.008) * [-1081.624] (-1121.412) (-1112.054) (-1089.631) -- 0:05:02
Average standard deviation of split frequencies: 0.017426
311000 -- (-1082.391) [-1066.182] (-1107.700) (-1118.078) * [-1070.981] (-1124.612) (-1115.601) (-1086.934) -- 0:05:03
312000 -- (-1092.027) [-1074.808] (-1117.336) (-1123.893) * [-1071.401] (-1125.756) (-1118.403) (-1080.173) -- 0:05:02
313000 -- (-1087.284) [-1064.389] (-1119.417) (-1112.497) * [-1075.794] (-1121.183) (-1118.787) (-1075.959) -- 0:05:02
314000 -- (-1079.127) [-1071.392] (-1108.917) (-1108.279) * [-1070.555] (-1112.438) (-1126.132) (-1069.090) -- 0:05:01
315000 -- (-1092.505) [-1066.332] (-1105.940) (-1113.627) * [-1070.788] (-1116.382) (-1117.493) (-1074.010) -- 0:05:02
Average standard deviation of split frequencies: 0.017420
316000 -- (-1082.313) [-1076.774] (-1117.752) (-1114.631) * [-1081.220] (-1116.258) (-1118.088) (-1069.711) -- 0:05:00
317000 -- (-1082.831) [-1078.080] (-1105.451) (-1127.670) * (-1074.942) (-1119.914) (-1126.209) [-1072.596] -- 0:05:01
318000 -- [-1072.830] (-1075.937) (-1104.209) (-1120.045) * [-1081.421] (-1122.850) (-1113.186) (-1086.108) -- 0:05:00
319000 -- (-1083.819) [-1067.791] (-1100.810) (-1107.457) * (-1084.853) (-1111.502) (-1118.651) [-1071.398] -- 0:05:01
320000 -- [-1075.945] (-1082.052) (-1103.268) (-1105.386) * [-1078.126] (-1113.276) (-1122.098) (-1076.983) -- 0:04:59
Average standard deviation of split frequencies: 0.018933
321000 -- [-1069.465] (-1081.599) (-1103.677) (-1119.495) * (-1086.684) (-1120.815) (-1119.303) [-1068.030] -- 0:04:58
322000 -- [-1073.721] (-1079.879) (-1096.779) (-1121.517) * [-1073.214] (-1113.081) (-1136.100) (-1089.239) -- 0:04:58
323000 -- (-1081.998) [-1073.398] (-1101.515) (-1125.909) * [-1074.412] (-1122.405) (-1119.341) (-1079.448) -- 0:04:57
324000 -- (-1076.183) [-1072.780] (-1119.351) (-1114.176) * [-1081.021] (-1115.335) (-1117.365) (-1089.236) -- 0:04:58
325000 -- (-1070.230) [-1060.811] (-1118.228) (-1114.289) * [-1077.958] (-1127.704) (-1121.503) (-1084.801) -- 0:04:57
Average standard deviation of split frequencies: 0.019237
326000 -- (-1069.689) [-1078.006] (-1128.145) (-1104.548) * [-1069.527] (-1119.385) (-1129.004) (-1072.224) -- 0:04:57
327000 -- (-1065.619) [-1070.696] (-1115.740) (-1120.578) * (-1083.201) (-1107.012) (-1118.375) [-1077.552] -- 0:04:56
328000 -- [-1068.600] (-1082.245) (-1126.369) (-1128.697) * (-1084.237) (-1109.113) (-1116.386) [-1080.747] -- 0:04:57
329000 -- (-1080.789) [-1070.389] (-1125.604) (-1112.967) * (-1080.023) (-1120.862) (-1123.993) [-1076.972] -- 0:04:55
330000 -- (-1078.812) [-1082.560] (-1111.953) (-1122.581) * (-1075.864) (-1103.844) (-1117.491) [-1071.631] -- 0:04:54
Average standard deviation of split frequencies: 0.019051
331000 -- [-1079.352] (-1077.658) (-1103.220) (-1143.221) * (-1082.494) (-1114.121) (-1124.217) [-1080.543] -- 0:04:55
332000 -- (-1088.460) [-1070.099] (-1120.582) (-1127.367) * [-1080.790] (-1113.787) (-1118.198) (-1074.657) -- 0:04:53
333000 -- [-1072.211] (-1081.034) (-1126.052) (-1119.343) * (-1090.845) (-1112.778) (-1110.935) [-1074.632] -- 0:04:54
334000 -- (-1072.272) [-1073.371] (-1115.940) (-1112.698) * (-1091.874) (-1119.005) (-1113.819) [-1076.988] -- 0:04:53
335000 -- (-1078.880) [-1071.153] (-1112.804) (-1116.717) * (-1085.730) (-1130.568) (-1108.811) [-1078.691] -- 0:04:53
Average standard deviation of split frequencies: 0.019514
336000 -- (-1078.016) [-1083.821] (-1111.059) (-1117.070) * [-1075.498] (-1121.574) (-1112.374) (-1091.600) -- 0:04:52
337000 -- (-1079.775) [-1078.492] (-1104.813) (-1111.180) * (-1090.445) (-1106.778) (-1130.134) [-1076.340] -- 0:04:51
338000 -- (-1076.807) [-1075.821] (-1104.007) (-1113.941) * (-1075.310) (-1128.292) (-1133.192) [-1074.836] -- 0:04:51
339000 -- [-1074.293] (-1090.205) (-1114.017) (-1117.592) * [-1077.010] (-1138.611) (-1120.509) (-1092.023) -- 0:04:50
340000 -- [-1072.061] (-1093.083) (-1104.356) (-1114.273) * [-1066.929] (-1117.801) (-1128.899) (-1100.393) -- 0:04:51
Average standard deviation of split frequencies: 0.019457
341000 -- [-1071.900] (-1081.898) (-1114.021) (-1115.503) * [-1068.332] (-1119.926) (-1110.706) (-1073.769) -- 0:04:49
342000 -- (-1071.979) [-1080.104] (-1113.615) (-1125.969) * [-1076.637] (-1121.697) (-1114.669) (-1069.260) -- 0:04:50
343000 -- (-1082.274) [-1074.780] (-1101.005) (-1122.486) * (-1077.578) (-1108.690) (-1116.380) [-1077.810] -- 0:04:49
344000 -- [-1084.109] (-1085.025) (-1118.234) (-1121.714) * [-1073.439] (-1126.338) (-1118.055) (-1074.488) -- 0:04:49
345000 -- (-1091.183) [-1072.211] (-1122.491) (-1121.453) * (-1075.248) (-1114.505) (-1114.034) [-1069.616] -- 0:04:48
Average standard deviation of split frequencies: 0.019900
346000 -- [-1071.825] (-1074.243) (-1117.668) (-1107.508) * [-1068.744] (-1128.596) (-1116.678) (-1078.188) -- 0:04:49
347000 -- [-1079.936] (-1073.905) (-1108.181) (-1106.160) * [-1072.433] (-1117.962) (-1116.688) (-1095.233) -- 0:04:47
348000 -- (-1087.122) [-1074.287] (-1108.565) (-1113.101) * [-1076.605] (-1116.696) (-1131.689) (-1093.450) -- 0:04:46
349000 -- (-1079.808) [-1069.069] (-1111.160) (-1106.671) * [-1070.004] (-1114.238) (-1125.635) (-1083.648) -- 0:04:47
350000 -- [-1074.715] (-1078.243) (-1106.153) (-1125.733) * [-1070.004] (-1112.302) (-1121.515) (-1086.877) -- 0:04:46
Average standard deviation of split frequencies: 0.018861
351000 -- [-1078.580] (-1075.774) (-1116.144) (-1106.783) * [-1072.732] (-1113.299) (-1133.364) (-1084.642) -- 0:04:46
352000 -- [-1086.048] (-1076.527) (-1112.514) (-1110.507) * [-1067.940] (-1121.479) (-1120.289) (-1075.421) -- 0:04:45
353000 -- [-1071.374] (-1080.888) (-1112.818) (-1114.571) * (-1074.373) (-1128.227) (-1116.364) [-1079.135] -- 0:04:45
354000 -- (-1083.865) [-1073.311] (-1124.769) (-1115.457) * [-1081.463] (-1132.230) (-1132.375) (-1075.188) -- 0:04:44
355000 -- [-1079.081] (-1082.034) (-1111.597) (-1122.375) * (-1079.988) (-1113.212) (-1130.137) [-1082.300] -- 0:04:43
Average standard deviation of split frequencies: 0.018057
356000 -- (-1080.575) [-1064.834] (-1121.433) (-1114.359) * (-1073.461) (-1113.219) (-1126.742) [-1077.511] -- 0:04:44
357000 -- [-1076.887] (-1071.522) (-1134.026) (-1113.961) * [-1073.519] (-1114.439) (-1128.476) (-1077.593) -- 0:04:42
358000 -- [-1066.189] (-1081.521) (-1113.007) (-1103.106) * [-1076.228] (-1108.519) (-1118.302) (-1079.995) -- 0:04:43
359000 -- (-1073.398) [-1068.687] (-1134.108) (-1111.401) * [-1071.281] (-1120.606) (-1116.684) (-1078.350) -- 0:04:42
360000 -- (-1082.246) [-1076.645] (-1121.965) (-1125.200) * (-1079.823) (-1125.406) (-1128.759) [-1073.414] -- 0:04:42
Average standard deviation of split frequencies: 0.016665
361000 -- (-1072.868) [-1068.845] (-1124.590) (-1113.493) * (-1084.455) (-1115.035) (-1119.363) [-1079.683] -- 0:04:41
362000 -- (-1071.322) [-1074.404] (-1106.596) (-1114.556) * [-1071.094] (-1114.115) (-1120.029) (-1092.634) -- 0:04:41
363000 -- (-1088.207) [-1071.354] (-1117.599) (-1119.625) * [-1069.029] (-1120.736) (-1122.450) (-1075.754) -- 0:04:40
364000 -- [-1075.577] (-1083.419) (-1127.131) (-1107.309) * [-1077.250] (-1132.827) (-1114.322) (-1071.545) -- 0:04:41
365000 -- [-1069.311] (-1073.422) (-1131.206) (-1117.405) * [-1071.630] (-1113.126) (-1118.044) (-1071.789) -- 0:04:40
Average standard deviation of split frequencies: 0.017173
366000 -- [-1074.869] (-1075.407) (-1119.360) (-1111.528) * [-1076.825] (-1115.232) (-1141.000) (-1073.330) -- 0:04:38
367000 -- (-1074.596) [-1075.495] (-1122.025) (-1111.903) * [-1065.353] (-1117.003) (-1132.091) (-1079.967) -- 0:04:39
368000 -- [-1078.552] (-1082.020) (-1126.421) (-1115.425) * (-1070.129) (-1117.524) (-1114.198) [-1084.094] -- 0:04:38
369000 -- (-1069.486) [-1065.415] (-1119.042) (-1127.009) * [-1076.730] (-1112.368) (-1121.890) (-1085.833) -- 0:04:38
370000 -- [-1068.009] (-1076.857) (-1121.120) (-1134.439) * [-1097.821] (-1116.182) (-1133.061) (-1090.664) -- 0:04:37
Average standard deviation of split frequencies: 0.016891
371000 -- [-1071.037] (-1077.699) (-1109.107) (-1130.140) * [-1074.298] (-1111.606) (-1110.829) (-1088.930) -- 0:04:38
372000 -- (-1071.134) [-1074.328] (-1105.940) (-1129.954) * (-1073.919) (-1120.947) (-1106.460) [-1087.156] -- 0:04:36
373000 -- (-1068.929) [-1073.506] (-1091.732) (-1127.375) * [-1081.523] (-1113.227) (-1115.763) (-1092.409) -- 0:04:37
374000 -- (-1085.008) [-1084.609] (-1106.271) (-1142.275) * [-1075.461] (-1126.064) (-1120.859) (-1083.248) -- 0:04:36
375000 -- (-1089.814) [-1079.147] (-1110.329) (-1121.743) * [-1068.336] (-1113.601) (-1117.451) (-1087.544) -- 0:04:35
Average standard deviation of split frequencies: 0.019110
376000 -- (-1090.456) [-1076.230] (-1101.686) (-1108.915) * [-1079.443] (-1116.274) (-1109.758) (-1090.240) -- 0:04:35
377000 -- [-1074.166] (-1088.498) (-1121.117) (-1108.973) * [-1081.412] (-1116.840) (-1123.861) (-1096.658) -- 0:04:34
378000 -- (-1083.286) [-1091.761] (-1118.268) (-1107.954) * [-1075.510] (-1115.931) (-1133.348) (-1084.400) -- 0:04:34
379000 -- [-1064.468] (-1085.481) (-1123.726) (-1124.532) * (-1079.539) (-1127.132) (-1115.708) [-1065.568] -- 0:04:33
380000 -- (-1084.286) [-1078.239] (-1118.309) (-1108.201) * (-1080.709) (-1121.681) (-1129.695) [-1066.222] -- 0:04:34
Average standard deviation of split frequencies: 0.018988
381000 -- [-1075.854] (-1078.545) (-1111.610) (-1111.197) * (-1076.490) (-1117.397) (-1118.982) [-1063.068] -- 0:04:32
382000 -- (-1084.583) [-1075.627] (-1105.118) (-1123.062) * (-1074.931) (-1109.799) (-1115.486) [-1067.947] -- 0:04:33
383000 -- (-1084.412) [-1075.812] (-1104.730) (-1118.933) * [-1073.847] (-1115.285) (-1141.831) (-1081.639) -- 0:04:32
384000 -- (-1084.864) [-1071.602] (-1116.823) (-1117.665) * [-1083.293] (-1123.528) (-1131.624) (-1092.076) -- 0:04:31
385000 -- [-1074.999] (-1076.725) (-1112.027) (-1123.770) * (-1094.102) (-1112.094) (-1127.012) [-1085.321] -- 0:04:31
Average standard deviation of split frequencies: 0.019059
386000 -- [-1076.980] (-1081.774) (-1103.259) (-1120.843) * [-1080.186] (-1115.710) (-1111.803) (-1081.511) -- 0:04:30
387000 -- [-1076.085] (-1081.225) (-1102.786) (-1130.943) * [-1078.535] (-1120.857) (-1115.339) (-1092.801) -- 0:04:30
388000 -- [-1078.672] (-1078.992) (-1111.540) (-1113.746) * (-1078.980) (-1120.142) (-1119.172) [-1076.639] -- 0:04:29
389000 -- [-1077.362] (-1074.912) (-1116.014) (-1113.359) * [-1072.856] (-1107.269) (-1126.995) (-1081.421) -- 0:04:30
390000 -- [-1073.627] (-1085.373) (-1118.748) (-1105.861) * (-1086.963) (-1111.712) (-1126.276) [-1082.420] -- 0:04:29
Average standard deviation of split frequencies: 0.018758
391000 -- [-1067.307] (-1079.971) (-1111.896) (-1115.315) * (-1099.555) (-1121.370) (-1132.345) [-1082.179] -- 0:04:27
392000 -- [-1068.952] (-1077.836) (-1103.184) (-1126.158) * (-1079.799) (-1117.998) (-1122.500) [-1084.258] -- 0:04:28
393000 -- [-1068.850] (-1077.464) (-1116.085) (-1125.349) * (-1091.131) (-1122.010) (-1123.084) [-1070.831] -- 0:04:27
394000 -- (-1067.954) [-1075.072] (-1113.158) (-1129.952) * (-1080.882) (-1101.986) (-1122.177) [-1073.244] -- 0:04:27
395000 -- [-1070.669] (-1088.867) (-1108.820) (-1112.225) * (-1082.485) (-1108.674) (-1123.766) [-1068.451] -- 0:04:26
Average standard deviation of split frequencies: 0.018686
396000 -- (-1084.883) [-1084.080] (-1105.983) (-1105.787) * (-1067.459) (-1107.985) (-1109.578) [-1069.247] -- 0:04:26
397000 -- [-1079.402] (-1088.781) (-1123.535) (-1113.618) * [-1073.174] (-1117.075) (-1119.812) (-1094.331) -- 0:04:25
398000 -- [-1074.095] (-1085.090) (-1118.994) (-1115.912) * [-1073.513] (-1127.450) (-1111.567) (-1095.578) -- 0:04:26
399000 -- [-1078.160] (-1081.268) (-1122.168) (-1117.161) * (-1073.613) (-1117.173) (-1112.951) [-1083.636] -- 0:04:25
400000 -- [-1076.567] (-1097.594) (-1124.402) (-1105.755) * (-1077.931) (-1115.942) (-1127.822) [-1071.855] -- 0:04:24
Average standard deviation of split frequencies: 0.018254
401000 -- [-1082.182] (-1115.103) (-1104.025) (-1115.865) * (-1071.885) (-1112.830) (-1113.258) [-1075.868] -- 0:04:24
402000 -- [-1079.218] (-1119.179) (-1113.927) (-1113.242) * [-1072.367] (-1113.470) (-1113.420) (-1082.155) -- 0:04:23
403000 -- [-1077.009] (-1121.970) (-1106.495) (-1107.396) * [-1069.845] (-1117.820) (-1119.808) (-1085.443) -- 0:04:23
404000 -- [-1077.780] (-1115.028) (-1113.411) (-1117.585) * (-1080.250) (-1111.139) (-1119.818) [-1074.906] -- 0:04:22
405000 -- [-1085.453] (-1114.902) (-1115.436) (-1119.309) * (-1082.032) (-1110.036) (-1120.164) [-1076.702] -- 0:04:22
Average standard deviation of split frequencies: 0.017768
406000 -- [-1072.681] (-1109.139) (-1109.345) (-1103.710) * (-1081.580) (-1107.636) (-1128.956) [-1070.423] -- 0:04:21
407000 -- [-1072.590] (-1113.594) (-1113.895) (-1099.750) * (-1086.992) (-1116.418) (-1116.370) [-1069.969] -- 0:04:20
408000 -- [-1074.635] (-1110.948) (-1111.951) (-1110.497) * [-1072.626] (-1115.324) (-1121.868) (-1065.525) -- 0:04:21
409000 -- [-1069.703] (-1106.817) (-1102.877) (-1117.802) * [-1068.765] (-1113.190) (-1137.554) (-1073.687) -- 0:04:20
410000 -- [-1065.820] (-1122.540) (-1108.971) (-1119.187) * (-1085.411) (-1128.149) (-1136.383) [-1078.570] -- 0:04:20
Average standard deviation of split frequencies: 0.017497
411000 -- [-1064.122] (-1114.000) (-1114.902) (-1099.893) * [-1079.456] (-1105.808) (-1117.632) (-1089.984) -- 0:04:19
412000 -- [-1075.215] (-1110.413) (-1113.062) (-1112.200) * (-1085.279) (-1105.061) (-1122.129) [-1073.696] -- 0:04:19
413000 -- [-1074.341] (-1114.281) (-1114.239) (-1097.682) * (-1078.063) (-1104.839) (-1134.168) [-1068.789] -- 0:04:18
414000 -- [-1076.134] (-1118.320) (-1123.088) (-1099.350) * (-1082.768) (-1116.839) (-1129.298) [-1080.496] -- 0:04:17
415000 -- [-1074.618] (-1109.565) (-1117.903) (-1120.191) * [-1080.936] (-1125.768) (-1119.213) (-1075.490) -- 0:04:17
Average standard deviation of split frequencies: 0.019087
416000 -- [-1081.134] (-1112.939) (-1116.971) (-1120.245) * (-1087.399) (-1112.382) (-1110.919) [-1077.330] -- 0:04:16
417000 -- [-1075.273] (-1111.170) (-1106.061) (-1125.941) * (-1080.272) (-1112.843) (-1133.544) [-1071.559] -- 0:04:17
418000 -- [-1073.861] (-1104.581) (-1118.901) (-1130.910) * [-1075.952] (-1112.194) (-1131.207) (-1071.438) -- 0:04:16
419000 -- [-1069.452] (-1106.731) (-1109.412) (-1109.551) * (-1077.157) (-1116.614) (-1122.203) [-1064.143] -- 0:04:16
420000 -- [-1068.475] (-1115.306) (-1105.049) (-1103.134) * (-1092.617) (-1119.722) (-1124.470) [-1076.512] -- 0:04:15
Average standard deviation of split frequencies: 0.018665
421000 -- [-1083.203] (-1104.848) (-1111.572) (-1115.190) * (-1084.339) (-1107.232) (-1122.573) [-1067.434] -- 0:04:15
422000 -- [-1064.953] (-1105.076) (-1109.826) (-1102.098) * [-1079.044] (-1113.356) (-1120.455) (-1081.354) -- 0:04:14
423000 -- [-1072.435] (-1119.981) (-1107.975) (-1108.453) * (-1077.923) (-1122.047) (-1111.903) [-1069.267] -- 0:04:13
424000 -- [-1078.879] (-1108.683) (-1110.730) (-1106.786) * (-1076.709) (-1109.265) (-1121.527) [-1071.798] -- 0:04:14
425000 -- [-1085.347] (-1113.678) (-1112.638) (-1108.451) * [-1079.006] (-1126.374) (-1120.499) (-1073.052) -- 0:04:13
Average standard deviation of split frequencies: 0.017705
426000 -- [-1086.525] (-1106.409) (-1110.567) (-1115.898) * [-1075.671] (-1118.355) (-1122.569) (-1095.969) -- 0:04:13
427000 -- [-1077.821] (-1095.937) (-1110.361) (-1116.080) * (-1088.772) (-1123.449) (-1126.311) [-1072.570] -- 0:04:12
428000 -- [-1079.809] (-1103.021) (-1115.676) (-1105.418) * (-1086.579) (-1116.937) (-1138.818) [-1075.228] -- 0:04:12
429000 -- [-1084.100] (-1107.075) (-1126.741) (-1119.817) * (-1081.090) (-1123.854) (-1124.816) [-1068.320] -- 0:04:11
430000 -- [-1086.963] (-1102.230) (-1105.694) (-1125.012) * (-1066.110) (-1110.292) (-1121.244) [-1071.882] -- 0:04:10
Average standard deviation of split frequencies: 0.016898
431000 -- [-1069.169] (-1105.737) (-1116.203) (-1114.734) * (-1076.780) (-1113.440) (-1102.765) [-1067.579] -- 0:04:10
432000 -- [-1075.304] (-1111.158) (-1105.486) (-1131.719) * [-1069.263] (-1117.357) (-1121.378) (-1076.717) -- 0:04:09
433000 -- [-1065.788] (-1114.507) (-1110.507) (-1118.779) * (-1078.747) (-1108.313) (-1115.469) [-1081.321] -- 0:04:10
434000 -- [-1074.112] (-1107.492) (-1108.056) (-1127.351) * [-1068.524] (-1092.432) (-1114.132) (-1084.182) -- 0:04:09
435000 -- [-1079.314] (-1103.275) (-1102.330) (-1124.142) * [-1071.299] (-1110.965) (-1119.560) (-1085.019) -- 0:04:09
Average standard deviation of split frequencies: 0.015407
436000 -- [-1066.359] (-1125.149) (-1097.744) (-1116.828) * (-1086.317) (-1108.178) (-1109.541) [-1072.511] -- 0:04:08
437000 -- [-1068.580] (-1120.755) (-1109.367) (-1110.219) * [-1085.143] (-1119.367) (-1111.969) (-1076.267) -- 0:04:07
438000 -- [-1067.517] (-1120.103) (-1112.381) (-1106.777) * (-1076.221) (-1113.525) (-1115.065) [-1079.984] -- 0:04:07
439000 -- [-1072.480] (-1113.235) (-1104.516) (-1118.037) * (-1083.604) (-1119.500) (-1111.356) [-1076.107] -- 0:04:06
440000 -- [-1069.036] (-1110.496) (-1114.555) (-1111.980) * (-1081.409) (-1126.071) (-1114.818) [-1073.087] -- 0:04:06
Average standard deviation of split frequencies: 0.014459
441000 -- [-1073.774] (-1104.384) (-1111.637) (-1115.717) * (-1073.128) (-1112.588) (-1117.477) [-1078.139] -- 0:04:05
442000 -- [-1068.734] (-1115.996) (-1101.221) (-1112.678) * (-1084.157) (-1111.890) (-1105.437) [-1072.047] -- 0:04:06
443000 -- [-1083.308] (-1108.144) (-1111.733) (-1120.612) * [-1072.649] (-1125.099) (-1116.080) (-1079.631) -- 0:04:05
444000 -- [-1072.211] (-1101.654) (-1113.182) (-1113.652) * [-1066.242] (-1119.598) (-1120.191) (-1080.188) -- 0:04:05
445000 -- [-1065.320] (-1115.458) (-1126.842) (-1115.003) * (-1076.779) (-1126.275) (-1106.993) [-1076.896] -- 0:04:04
Average standard deviation of split frequencies: 0.013468
446000 -- [-1066.957] (-1107.053) (-1120.311) (-1099.779) * [-1072.811] (-1128.891) (-1111.313) (-1083.179) -- 0:04:03
447000 -- [-1070.092] (-1106.822) (-1109.845) (-1106.432) * [-1074.446] (-1112.290) (-1123.701) (-1086.082) -- 0:04:03
448000 -- [-1070.025] (-1102.552) (-1110.705) (-1113.224) * [-1080.531] (-1117.345) (-1134.863) (-1096.725) -- 0:04:02
449000 -- [-1071.513] (-1108.340) (-1107.800) (-1124.443) * [-1083.581] (-1122.751) (-1119.624) (-1077.855) -- 0:04:02
450000 -- [-1065.504] (-1113.529) (-1105.588) (-1109.567) * [-1075.722] (-1104.680) (-1113.894) (-1072.360) -- 0:04:02
Average standard deviation of split frequencies: 0.014296
451000 -- [-1067.252] (-1111.303) (-1115.654) (-1118.983) * (-1081.901) (-1107.666) (-1125.277) [-1076.961] -- 0:04:02
452000 -- [-1071.727] (-1115.438) (-1131.764) (-1106.099) * (-1087.186) (-1101.319) (-1108.687) [-1067.614] -- 0:04:01
453000 -- [-1082.022] (-1109.108) (-1122.371) (-1100.222) * [-1077.052] (-1119.200) (-1122.546) (-1080.447) -- 0:04:00
454000 -- [-1066.888] (-1102.452) (-1112.792) (-1106.344) * (-1094.976) (-1116.744) (-1121.377) [-1083.312] -- 0:04:00
455000 -- [-1072.269] (-1108.739) (-1111.718) (-1104.670) * (-1096.256) (-1112.441) (-1119.206) [-1071.581] -- 0:03:59
Average standard deviation of split frequencies: 0.014266
456000 -- [-1068.082] (-1108.743) (-1116.725) (-1119.710) * (-1094.079) (-1121.773) (-1131.183) [-1071.686] -- 0:03:59
457000 -- [-1076.153] (-1104.467) (-1110.641) (-1117.509) * (-1086.977) (-1116.218) (-1125.531) [-1079.256] -- 0:03:58
458000 -- [-1083.383] (-1110.998) (-1112.474) (-1125.523) * (-1097.612) (-1118.294) (-1110.788) [-1079.069] -- 0:03:59
459000 -- [-1086.235] (-1116.569) (-1117.466) (-1119.512) * [-1077.568] (-1117.045) (-1120.432) (-1079.029) -- 0:03:58
460000 -- [-1071.135] (-1113.811) (-1125.668) (-1108.874) * [-1074.938] (-1125.800) (-1131.591) (-1072.889) -- 0:03:57
Average standard deviation of split frequencies: 0.013610
461000 -- [-1071.126] (-1099.790) (-1114.331) (-1126.765) * (-1069.033) (-1116.729) (-1130.106) [-1075.378] -- 0:03:57
462000 -- [-1080.752] (-1105.793) (-1117.062) (-1120.660) * (-1083.949) (-1111.755) (-1124.943) [-1083.624] -- 0:03:56
463000 -- [-1076.682] (-1102.976) (-1104.681) (-1101.754) * [-1075.535] (-1121.069) (-1116.598) (-1087.125) -- 0:03:56
464000 -- [-1071.782] (-1102.071) (-1106.438) (-1094.501) * [-1076.708] (-1136.437) (-1118.999) (-1090.452) -- 0:03:55
465000 -- [-1067.069] (-1106.858) (-1110.765) (-1111.286) * (-1069.059) (-1115.817) (-1116.211) [-1077.381] -- 0:03:55
Average standard deviation of split frequencies: 0.014097
466000 -- [-1069.134] (-1121.803) (-1105.029) (-1123.557) * [-1073.631] (-1119.391) (-1131.861) (-1076.503) -- 0:03:54
467000 -- [-1069.721] (-1116.515) (-1103.282) (-1115.738) * [-1075.099] (-1115.822) (-1122.311) (-1091.197) -- 0:03:55
468000 -- [-1074.862] (-1112.104) (-1106.567) (-1106.521) * (-1087.378) (-1128.251) (-1109.333) [-1068.955] -- 0:03:54
469000 -- [-1067.559] (-1100.477) (-1107.400) (-1109.331) * (-1090.274) (-1117.027) (-1108.654) [-1068.271] -- 0:03:53
470000 -- [-1069.558] (-1098.971) (-1115.848) (-1102.562) * (-1089.920) (-1112.424) (-1114.572) [-1079.954] -- 0:03:53
Average standard deviation of split frequencies: 0.014280
471000 -- [-1081.893] (-1100.062) (-1129.851) (-1097.329) * (-1088.211) (-1107.636) (-1129.024) [-1062.777] -- 0:03:52
472000 -- [-1079.179] (-1108.545) (-1138.541) (-1104.607) * (-1075.230) (-1109.929) (-1122.817) [-1072.734] -- 0:03:52
473000 -- [-1069.233] (-1099.600) (-1115.081) (-1124.304) * (-1079.691) (-1124.530) (-1114.368) [-1084.091] -- 0:03:51
474000 -- [-1073.420] (-1096.736) (-1120.605) (-1111.237) * (-1080.638) (-1114.428) (-1133.202) [-1088.817] -- 0:03:51
475000 -- [-1067.022] (-1099.536) (-1109.348) (-1100.269) * (-1081.259) (-1119.921) (-1123.313) [-1076.992] -- 0:03:51
Average standard deviation of split frequencies: 0.015111
476000 -- [-1078.912] (-1106.375) (-1107.866) (-1107.979) * (-1085.742) (-1113.205) (-1120.632) [-1074.420] -- 0:03:50
477000 -- [-1065.707] (-1111.358) (-1103.742) (-1114.016) * (-1086.835) (-1104.247) (-1129.171) [-1073.450] -- 0:03:50
478000 -- [-1080.265] (-1116.181) (-1110.262) (-1104.639) * (-1084.745) (-1111.386) (-1121.564) [-1081.515] -- 0:03:49
479000 -- [-1081.328] (-1122.239) (-1122.446) (-1101.497) * (-1096.827) (-1128.131) (-1112.632) [-1081.060] -- 0:03:49
480000 -- [-1077.457] (-1109.767) (-1130.934) (-1113.417) * (-1089.129) (-1112.261) (-1111.473) [-1070.293] -- 0:03:48
Average standard deviation of split frequencies: 0.015344
481000 -- [-1069.352] (-1087.217) (-1108.838) (-1109.674) * (-1097.921) (-1108.182) (-1131.965) [-1071.702] -- 0:03:48
482000 -- [-1066.359] (-1105.034) (-1113.010) (-1109.596) * (-1087.932) (-1108.202) (-1120.722) [-1079.432] -- 0:03:47
483000 -- [-1069.039] (-1110.492) (-1120.184) (-1101.988) * [-1075.733] (-1119.778) (-1127.554) (-1075.137) -- 0:03:47
484000 -- [-1071.565] (-1105.667) (-1105.688) (-1103.293) * (-1088.916) (-1121.200) (-1132.705) [-1077.050] -- 0:03:47
485000 -- [-1069.214] (-1114.424) (-1114.841) (-1103.026) * (-1094.226) (-1132.945) (-1123.784) [-1074.130] -- 0:03:46
Average standard deviation of split frequencies: 0.014988
486000 -- [-1073.433] (-1114.216) (-1118.575) (-1092.777) * (-1103.737) (-1117.943) (-1120.973) [-1073.222] -- 0:03:46
487000 -- [-1068.457] (-1105.403) (-1112.649) (-1111.451) * (-1093.340) (-1117.427) (-1128.308) [-1066.876] -- 0:03:45
488000 -- [-1073.614] (-1101.793) (-1114.977) (-1105.532) * (-1091.707) (-1120.904) (-1133.122) [-1063.289] -- 0:03:45
489000 -- [-1073.680] (-1115.776) (-1110.511) (-1107.114) * (-1092.864) (-1109.770) (-1126.261) [-1069.493] -- 0:03:44
490000 -- [-1070.003] (-1106.200) (-1124.337) (-1111.010) * (-1086.000) (-1107.871) (-1116.817) [-1071.897] -- 0:03:44
Average standard deviation of split frequencies: 0.014318
491000 -- [-1065.989] (-1110.059) (-1125.876) (-1112.369) * (-1089.050) (-1109.244) (-1116.069) [-1072.033] -- 0:03:43
492000 -- [-1069.115] (-1119.796) (-1126.883) (-1110.023) * (-1087.740) (-1114.747) (-1119.353) [-1069.506] -- 0:03:43
493000 -- [-1073.923] (-1115.351) (-1124.898) (-1096.130) * [-1081.094] (-1106.974) (-1115.584) (-1088.093) -- 0:03:43
494000 -- [-1084.119] (-1100.360) (-1111.034) (-1095.745) * (-1084.382) (-1110.301) (-1132.742) [-1075.497] -- 0:03:42
495000 -- [-1078.385] (-1116.205) (-1124.171) (-1107.564) * (-1067.758) (-1114.303) (-1120.481) [-1075.549] -- 0:03:42
Average standard deviation of split frequencies: 0.013908
496000 -- [-1070.720] (-1110.755) (-1134.466) (-1103.776) * [-1073.347] (-1121.506) (-1121.227) (-1069.126) -- 0:03:41
497000 -- [-1069.838] (-1113.855) (-1131.061) (-1109.840) * (-1088.803) (-1123.228) (-1129.324) [-1063.711] -- 0:03:41
498000 -- [-1070.088] (-1101.581) (-1123.171) (-1109.430) * (-1090.155) (-1110.639) (-1115.440) [-1066.992] -- 0:03:40
499000 -- [-1075.283] (-1104.933) (-1129.021) (-1114.610) * [-1083.938] (-1113.297) (-1116.771) (-1074.273) -- 0:03:40
500000 -- [-1070.768] (-1115.978) (-1128.404) (-1094.662) * (-1091.436) (-1126.688) (-1112.840) [-1073.311] -- 0:03:40
Average standard deviation of split frequencies: 0.013433
501000 -- [-1075.507] (-1110.932) (-1106.298) (-1101.694) * (-1091.609) (-1108.862) (-1112.324) [-1075.546] -- 0:03:39
502000 -- [-1077.806] (-1117.692) (-1106.919) (-1093.743) * (-1072.656) (-1105.746) (-1111.058) [-1071.603] -- 0:03:39
503000 -- [-1081.040] (-1120.278) (-1109.442) (-1095.783) * (-1084.686) (-1105.624) (-1127.424) [-1073.026] -- 0:03:38
504000 -- [-1080.060] (-1104.731) (-1113.763) (-1103.151) * (-1086.927) (-1113.382) (-1133.759) [-1070.181] -- 0:03:38
505000 -- [-1084.480] (-1107.136) (-1111.077) (-1095.062) * [-1086.764] (-1106.749) (-1118.273) (-1077.759) -- 0:03:37
Average standard deviation of split frequencies: 0.012266
506000 -- [-1071.960] (-1109.014) (-1127.065) (-1114.696) * (-1081.926) (-1118.191) (-1127.109) [-1075.084] -- 0:03:37
507000 -- [-1074.435] (-1119.766) (-1126.840) (-1112.718) * (-1072.015) (-1101.061) (-1113.775) [-1077.367] -- 0:03:36
508000 -- [-1087.442] (-1106.727) (-1105.416) (-1108.774) * [-1067.417] (-1113.618) (-1135.262) (-1070.707) -- 0:03:36
509000 -- [-1073.459] (-1116.663) (-1110.056) (-1099.850) * [-1074.116] (-1124.406) (-1127.171) (-1068.105) -- 0:03:36
510000 -- [-1061.346] (-1111.044) (-1109.752) (-1102.721) * (-1089.825) (-1112.245) (-1118.833) [-1061.794] -- 0:03:35
Average standard deviation of split frequencies: 0.011570
511000 -- [-1067.471] (-1127.596) (-1107.282) (-1105.435) * (-1077.283) (-1108.868) (-1121.486) [-1065.172] -- 0:03:35
512000 -- [-1066.697] (-1106.750) (-1108.244) (-1105.697) * (-1084.727) (-1115.328) (-1130.701) [-1068.893] -- 0:03:34
513000 -- [-1074.994] (-1101.683) (-1114.825) (-1122.293) * (-1088.360) (-1116.633) (-1128.196) [-1070.540] -- 0:03:34
514000 -- [-1076.765] (-1109.916) (-1107.818) (-1101.735) * [-1084.867] (-1111.787) (-1105.298) (-1072.560) -- 0:03:33
515000 -- [-1064.494] (-1116.739) (-1103.645) (-1114.484) * [-1070.821] (-1123.618) (-1116.916) (-1080.668) -- 0:03:33
Average standard deviation of split frequencies: 0.011602
516000 -- [-1069.459] (-1116.802) (-1106.778) (-1105.071) * (-1078.267) (-1113.228) (-1114.317) [-1081.596] -- 0:03:32
517000 -- [-1073.701] (-1121.528) (-1109.661) (-1103.944) * (-1081.927) (-1110.328) (-1120.682) [-1071.959] -- 0:03:33
518000 -- [-1079.471] (-1126.243) (-1108.701) (-1106.305) * (-1076.018) (-1115.952) (-1120.962) [-1069.169] -- 0:03:32
519000 -- [-1075.453] (-1110.481) (-1103.474) (-1106.793) * (-1079.179) (-1114.656) (-1125.959) [-1072.830] -- 0:03:31
520000 -- [-1072.866] (-1117.633) (-1107.953) (-1110.185) * (-1097.471) (-1114.303) (-1120.198) [-1071.842] -- 0:03:31
Average standard deviation of split frequencies: 0.011830
521000 -- [-1080.891] (-1112.331) (-1118.960) (-1098.779) * [-1077.926] (-1106.223) (-1112.951) (-1067.246) -- 0:03:30
522000 -- [-1076.663] (-1111.045) (-1118.489) (-1109.148) * [-1078.244] (-1110.594) (-1112.448) (-1071.064) -- 0:03:30
523000 -- [-1074.998] (-1108.854) (-1117.395) (-1110.823) * [-1078.399] (-1124.906) (-1110.263) (-1069.547) -- 0:03:29
524000 -- [-1060.083] (-1111.179) (-1107.092) (-1118.702) * [-1068.642] (-1118.195) (-1121.929) (-1067.707) -- 0:03:29
525000 -- [-1064.160] (-1104.993) (-1103.023) (-1119.257) * [-1083.561] (-1105.153) (-1135.903) (-1074.303) -- 0:03:29
Average standard deviation of split frequencies: 0.011737
526000 -- [-1067.364] (-1106.017) (-1111.469) (-1122.206) * (-1082.392) (-1114.757) (-1123.520) [-1066.457] -- 0:03:29
527000 -- [-1063.951] (-1128.319) (-1111.095) (-1111.494) * (-1080.252) (-1115.266) (-1118.645) [-1064.950] -- 0:03:28
528000 -- [-1071.482] (-1118.937) (-1104.528) (-1101.638) * (-1076.436) (-1116.009) (-1126.697) [-1071.807] -- 0:03:27
529000 -- [-1073.423] (-1096.191) (-1118.743) (-1114.551) * [-1076.985] (-1118.767) (-1125.830) (-1076.035) -- 0:03:27
530000 -- [-1078.145] (-1088.535) (-1108.167) (-1121.327) * [-1066.233] (-1121.438) (-1124.241) (-1077.293) -- 0:03:26
Average standard deviation of split frequencies: 0.011874
531000 -- [-1075.655] (-1105.599) (-1105.254) (-1095.214) * [-1066.641] (-1113.496) (-1108.370) (-1073.878) -- 0:03:26
532000 -- [-1067.321] (-1105.160) (-1104.457) (-1096.854) * [-1067.610] (-1118.479) (-1122.790) (-1072.417) -- 0:03:25
533000 -- [-1071.401] (-1105.360) (-1104.888) (-1112.201) * [-1066.176] (-1117.078) (-1131.873) (-1080.542) -- 0:03:25
534000 -- [-1073.076] (-1106.023) (-1108.778) (-1109.373) * [-1075.754] (-1122.073) (-1118.998) (-1088.197) -- 0:03:25
535000 -- [-1063.659] (-1103.927) (-1112.498) (-1114.615) * (-1078.120) (-1121.365) (-1130.422) [-1078.635] -- 0:03:24
Average standard deviation of split frequencies: 0.011036
536000 -- [-1078.216] (-1106.389) (-1101.010) (-1105.253) * [-1083.372] (-1114.775) (-1125.249) (-1081.511) -- 0:03:24
537000 -- [-1083.967] (-1108.392) (-1107.499) (-1098.512) * [-1073.897] (-1102.222) (-1140.351) (-1084.154) -- 0:03:23
538000 -- [-1074.987] (-1102.170) (-1109.926) (-1117.790) * [-1077.011] (-1106.420) (-1138.136) (-1088.283) -- 0:03:23
539000 -- [-1078.669] (-1096.856) (-1123.742) (-1111.751) * [-1076.085] (-1109.532) (-1107.282) (-1091.243) -- 0:03:22
540000 -- [-1088.349] (-1106.569) (-1119.506) (-1108.662) * [-1081.244] (-1113.899) (-1120.691) (-1082.656) -- 0:03:22
Average standard deviation of split frequencies: 0.011451
541000 -- [-1078.094] (-1106.800) (-1125.349) (-1106.471) * [-1079.593] (-1125.446) (-1126.466) (-1085.090) -- 0:03:21
542000 -- [-1080.367] (-1108.432) (-1112.446) (-1127.376) * [-1083.240] (-1107.010) (-1128.266) (-1078.409) -- 0:03:21
543000 -- [-1069.154] (-1108.284) (-1115.019) (-1117.187) * [-1083.802] (-1110.623) (-1128.173) (-1082.492) -- 0:03:21
544000 -- [-1085.577] (-1104.202) (-1109.830) (-1105.127) * [-1069.796] (-1112.572) (-1118.570) (-1084.468) -- 0:03:20
545000 -- [-1078.778] (-1100.981) (-1105.685) (-1117.736) * (-1073.515) (-1125.304) (-1124.082) [-1075.759] -- 0:03:20
Average standard deviation of split frequencies: 0.011080
546000 -- [-1074.712] (-1112.084) (-1118.418) (-1100.642) * (-1095.825) (-1106.884) (-1109.981) [-1074.108] -- 0:03:19
547000 -- [-1072.091] (-1099.141) (-1112.816) (-1104.814) * [-1075.087] (-1111.189) (-1116.456) (-1083.723) -- 0:03:19
548000 -- [-1074.541] (-1116.903) (-1111.894) (-1115.509) * (-1078.967) (-1118.820) (-1124.482) [-1071.013] -- 0:03:18
549000 -- [-1072.526] (-1099.481) (-1115.120) (-1112.006) * (-1085.513) (-1113.316) (-1114.845) [-1074.373] -- 0:03:18
550000 -- [-1066.437] (-1107.854) (-1114.889) (-1106.927) * (-1082.717) (-1108.069) (-1118.097) [-1080.923] -- 0:03:18
Average standard deviation of split frequencies: 0.010935
551000 -- [-1075.887] (-1105.273) (-1112.953) (-1121.840) * (-1099.482) (-1120.252) (-1124.603) [-1077.638] -- 0:03:17
552000 -- [-1072.687] (-1102.028) (-1101.634) (-1112.051) * (-1089.439) (-1129.743) (-1127.238) [-1074.301] -- 0:03:17
553000 -- [-1069.952] (-1103.636) (-1116.383) (-1108.491) * (-1093.583) (-1115.850) (-1124.478) [-1072.750] -- 0:03:16
554000 -- [-1071.355] (-1099.563) (-1129.962) (-1101.374) * [-1086.889] (-1112.168) (-1122.646) (-1075.087) -- 0:03:16
555000 -- [-1072.435] (-1109.048) (-1119.645) (-1117.744) * (-1084.953) (-1110.718) (-1131.076) [-1069.873] -- 0:03:15
Average standard deviation of split frequencies: 0.012253
556000 -- [-1076.002] (-1097.884) (-1111.615) (-1106.443) * (-1093.488) (-1106.852) (-1121.988) [-1071.940] -- 0:03:15
557000 -- [-1076.312] (-1095.402) (-1108.108) (-1119.711) * (-1084.170) (-1132.274) (-1132.135) [-1074.125] -- 0:03:14
558000 -- [-1078.709] (-1118.403) (-1118.499) (-1108.937) * (-1087.930) (-1117.525) (-1128.170) [-1078.217] -- 0:03:14
559000 -- [-1081.719] (-1107.094) (-1114.210) (-1091.673) * (-1087.382) (-1109.288) (-1118.043) [-1074.410] -- 0:03:14
560000 -- [-1080.266] (-1112.821) (-1124.706) (-1099.402) * (-1084.591) (-1117.101) (-1120.054) [-1081.824] -- 0:03:13
Average standard deviation of split frequencies: 0.012883
561000 -- [-1071.110] (-1113.874) (-1119.805) (-1097.773) * (-1081.172) (-1122.448) (-1112.747) [-1082.976] -- 0:03:13
562000 -- [-1076.165] (-1104.946) (-1112.126) (-1097.194) * [-1072.736] (-1111.220) (-1117.152) (-1078.457) -- 0:03:12
563000 -- [-1076.522] (-1112.526) (-1113.288) (-1096.296) * (-1074.061) (-1113.522) (-1107.311) [-1072.642] -- 0:03:12
564000 -- [-1084.645] (-1119.815) (-1099.266) (-1100.092) * (-1078.608) (-1123.019) (-1115.557) [-1074.974] -- 0:03:11
565000 -- [-1088.019] (-1120.481) (-1124.022) (-1108.444) * (-1104.407) (-1127.874) (-1136.436) [-1076.999] -- 0:03:10
Average standard deviation of split frequencies: 0.013245
566000 -- [-1078.349] (-1112.283) (-1115.989) (-1110.956) * (-1084.137) (-1119.938) (-1119.885) [-1070.962] -- 0:03:10
567000 -- [-1071.714] (-1117.903) (-1111.144) (-1112.628) * [-1083.621] (-1116.605) (-1120.654) (-1084.757) -- 0:03:10
568000 -- [-1077.988] (-1109.130) (-1106.735) (-1108.541) * (-1086.540) (-1120.315) (-1124.135) [-1077.992] -- 0:03:10
569000 -- [-1065.742] (-1106.245) (-1115.728) (-1112.248) * (-1088.892) (-1118.004) (-1123.435) [-1078.874] -- 0:03:09
570000 -- [-1071.073] (-1113.323) (-1120.588) (-1106.540) * (-1090.190) (-1115.450) (-1110.178) [-1081.595] -- 0:03:09
Average standard deviation of split frequencies: 0.013643
571000 -- [-1063.715] (-1107.462) (-1121.262) (-1104.655) * (-1082.496) (-1113.858) (-1112.468) [-1078.971] -- 0:03:08
572000 -- [-1068.221] (-1097.674) (-1115.430) (-1101.450) * [-1076.325] (-1119.175) (-1125.807) (-1076.609) -- 0:03:07
573000 -- [-1064.228] (-1100.034) (-1109.014) (-1115.485) * (-1079.182) (-1111.027) (-1133.355) [-1081.985] -- 0:03:07
574000 -- [-1070.143] (-1102.930) (-1109.903) (-1115.947) * (-1072.698) (-1112.676) (-1126.527) [-1068.854] -- 0:03:07
575000 -- [-1065.378] (-1104.265) (-1099.604) (-1109.503) * [-1071.994] (-1116.056) (-1118.357) (-1073.128) -- 0:03:07
Average standard deviation of split frequencies: 0.013887
576000 -- [-1077.250] (-1116.846) (-1110.816) (-1100.808) * (-1083.374) (-1117.657) (-1115.073) [-1064.612] -- 0:03:06
577000 -- [-1077.494] (-1109.964) (-1112.024) (-1119.824) * (-1074.760) (-1113.111) (-1114.068) [-1077.546] -- 0:03:06
578000 -- [-1070.042] (-1104.710) (-1108.784) (-1110.696) * (-1093.173) (-1124.874) (-1117.738) [-1071.235] -- 0:03:05
579000 -- [-1073.921] (-1104.510) (-1114.926) (-1112.221) * (-1086.501) (-1123.731) (-1119.768) [-1071.485] -- 0:03:04
580000 -- [-1066.314] (-1122.075) (-1104.842) (-1101.320) * (-1087.916) (-1125.188) (-1118.480) [-1077.398] -- 0:03:04
Average standard deviation of split frequencies: 0.014011
581000 -- [-1068.551] (-1119.575) (-1110.027) (-1103.524) * (-1080.109) (-1119.847) (-1126.735) [-1066.151] -- 0:03:03
582000 -- [-1067.888] (-1114.953) (-1120.589) (-1112.803) * [-1078.370] (-1117.790) (-1120.153) (-1074.366) -- 0:03:03
583000 -- [-1077.682] (-1129.412) (-1105.320) (-1106.945) * (-1078.744) (-1129.140) (-1117.094) [-1070.539] -- 0:03:03
584000 -- [-1074.767] (-1109.863) (-1114.265) (-1117.032) * [-1074.466] (-1106.855) (-1125.694) (-1073.974) -- 0:03:03
585000 -- [-1072.969] (-1104.300) (-1095.353) (-1105.257) * (-1072.891) (-1112.733) (-1127.238) [-1075.157] -- 0:03:02
Average standard deviation of split frequencies: 0.014688
586000 -- [-1071.357] (-1103.465) (-1108.850) (-1111.658) * (-1074.975) (-1121.040) (-1125.255) [-1070.680] -- 0:03:02
587000 -- [-1076.272] (-1106.767) (-1105.438) (-1105.868) * (-1070.423) (-1117.640) (-1117.117) [-1063.878] -- 0:03:01
588000 -- [-1074.242] (-1103.296) (-1121.457) (-1109.011) * (-1072.325) (-1117.428) (-1112.511) [-1070.540] -- 0:03:00
589000 -- [-1088.406] (-1103.211) (-1127.651) (-1111.363) * [-1083.276] (-1114.637) (-1121.319) (-1069.415) -- 0:03:00
590000 -- [-1089.784] (-1097.069) (-1107.269) (-1112.166) * (-1086.563) (-1112.606) (-1130.690) [-1074.993] -- 0:02:59
Average standard deviation of split frequencies: 0.014263
591000 -- [-1068.398] (-1105.792) (-1120.430) (-1126.967) * (-1080.555) (-1112.154) (-1116.494) [-1073.775] -- 0:02:59
592000 -- [-1081.892] (-1096.425) (-1106.672) (-1108.684) * [-1069.289] (-1122.955) (-1132.129) (-1069.555) -- 0:02:59
593000 -- [-1085.260] (-1103.489) (-1116.002) (-1116.607) * (-1090.950) (-1125.665) (-1125.883) [-1072.627] -- 0:02:59
594000 -- [-1075.838] (-1101.591) (-1112.316) (-1114.438) * [-1079.599] (-1115.522) (-1122.477) (-1079.288) -- 0:02:58
595000 -- [-1073.076] (-1112.973) (-1122.541) (-1112.247) * (-1078.467) (-1110.622) (-1129.367) [-1074.190] -- 0:02:57
Average standard deviation of split frequencies: 0.013293
596000 -- [-1071.141] (-1101.951) (-1123.015) (-1120.026) * [-1073.577] (-1116.276) (-1119.390) (-1094.784) -- 0:02:57
597000 -- [-1074.065] (-1102.253) (-1106.700) (-1108.277) * (-1076.933) (-1106.626) (-1127.396) [-1076.552] -- 0:02:56
598000 -- [-1069.209] (-1110.165) (-1112.828) (-1101.985) * (-1069.218) (-1115.889) (-1123.024) [-1079.425] -- 0:02:56
599000 -- [-1076.926] (-1117.896) (-1114.852) (-1098.917) * (-1075.012) (-1116.721) (-1126.833) [-1079.350] -- 0:02:56
600000 -- [-1070.401] (-1117.431) (-1102.211) (-1115.414) * (-1085.882) (-1117.250) (-1113.186) [-1079.708] -- 0:02:56
Average standard deviation of split frequencies: 0.013392
601000 -- [-1072.741] (-1119.662) (-1105.951) (-1104.623) * [-1069.176] (-1112.774) (-1119.378) (-1077.870) -- 0:02:55
602000 -- [-1073.010] (-1102.296) (-1110.592) (-1104.451) * [-1066.444] (-1109.481) (-1122.003) (-1085.642) -- 0:02:54
603000 -- [-1065.788] (-1114.572) (-1101.419) (-1096.978) * [-1074.405] (-1113.801) (-1126.602) (-1077.962) -- 0:02:54
604000 -- [-1072.587] (-1106.571) (-1099.675) (-1125.336) * [-1073.523] (-1124.980) (-1108.933) (-1077.832) -- 0:02:53
605000 -- [-1070.189] (-1113.324) (-1110.809) (-1096.743) * [-1062.581] (-1122.676) (-1109.587) (-1075.685) -- 0:02:53
Average standard deviation of split frequencies: 0.012773
606000 -- [-1075.969] (-1098.191) (-1118.786) (-1101.726) * [-1070.395] (-1111.455) (-1120.964) (-1082.079) -- 0:02:52
607000 -- [-1087.306] (-1107.162) (-1117.127) (-1099.430) * [-1071.328] (-1116.293) (-1114.675) (-1085.004) -- 0:02:52
608000 -- [-1079.099] (-1102.043) (-1102.478) (-1101.248) * [-1080.063] (-1123.160) (-1104.432) (-1079.966) -- 0:02:52
609000 -- [-1074.392] (-1113.367) (-1118.035) (-1107.577) * [-1077.709] (-1112.039) (-1118.922) (-1071.933) -- 0:02:51
610000 -- [-1076.046] (-1102.902) (-1124.819) (-1107.135) * [-1068.793] (-1112.581) (-1114.521) (-1076.168) -- 0:02:51
Average standard deviation of split frequencies: 0.011828
611000 -- [-1074.031] (-1100.101) (-1125.787) (-1123.296) * [-1067.030] (-1118.437) (-1129.488) (-1080.318) -- 0:02:50
612000 -- [-1073.425] (-1114.371) (-1118.242) (-1111.436) * [-1072.884] (-1104.871) (-1126.842) (-1084.089) -- 0:02:50
613000 -- [-1070.501] (-1093.310) (-1117.239) (-1110.306) * [-1067.702] (-1109.906) (-1119.877) (-1091.165) -- 0:02:49
614000 -- [-1065.775] (-1099.672) (-1116.314) (-1122.101) * (-1072.479) (-1107.625) (-1123.835) [-1071.090] -- 0:02:49
615000 -- [-1081.631] (-1106.860) (-1116.044) (-1108.110) * [-1075.577] (-1123.260) (-1119.357) (-1075.058) -- 0:02:49
Average standard deviation of split frequencies: 0.011553
616000 -- [-1080.752] (-1097.166) (-1110.366) (-1110.001) * [-1073.611] (-1113.955) (-1124.999) (-1074.267) -- 0:02:48
617000 -- [-1068.321] (-1117.812) (-1107.744) (-1113.423) * [-1072.250] (-1126.062) (-1125.249) (-1086.254) -- 0:02:48
618000 -- [-1069.510] (-1105.635) (-1111.400) (-1104.722) * [-1071.513] (-1121.972) (-1116.169) (-1086.026) -- 0:02:47
619000 -- [-1073.152] (-1109.064) (-1106.571) (-1118.488) * (-1076.078) (-1107.808) (-1132.167) [-1075.767] -- 0:02:47
620000 -- [-1066.884] (-1104.410) (-1106.097) (-1109.354) * (-1071.307) (-1106.111) (-1125.444) [-1076.172] -- 0:02:46
Average standard deviation of split frequencies: 0.011491
621000 -- [-1064.855] (-1101.832) (-1106.370) (-1110.196) * (-1083.734) (-1119.924) (-1124.923) [-1074.155] -- 0:02:46
622000 -- [-1070.687] (-1113.910) (-1114.970) (-1100.329) * (-1083.394) (-1122.423) (-1121.878) [-1079.912] -- 0:02:45
623000 -- [-1075.310] (-1098.992) (-1116.539) (-1112.516) * (-1078.307) (-1119.606) (-1121.192) [-1084.516] -- 0:02:45
624000 -- [-1068.487] (-1102.242) (-1105.620) (-1114.657) * [-1067.703] (-1120.658) (-1119.261) (-1074.354) -- 0:02:45
625000 -- [-1064.461] (-1099.166) (-1113.548) (-1111.170) * (-1082.926) (-1114.538) (-1120.263) [-1070.907] -- 0:02:44
Average standard deviation of split frequencies: 0.012049
626000 -- [-1066.451] (-1096.474) (-1125.638) (-1103.577) * (-1091.716) (-1123.782) (-1116.863) [-1074.520] -- 0:02:44
627000 -- [-1078.276] (-1098.935) (-1106.194) (-1097.395) * (-1079.021) (-1114.207) (-1128.167) [-1068.153] -- 0:02:43
628000 -- [-1076.168] (-1103.492) (-1108.541) (-1112.426) * (-1075.269) (-1135.267) (-1112.106) [-1067.418] -- 0:02:43
629000 -- [-1080.440] (-1116.583) (-1112.638) (-1113.304) * (-1074.937) (-1113.973) (-1119.686) [-1073.340] -- 0:02:42
630000 -- [-1065.622] (-1103.652) (-1102.172) (-1110.012) * [-1068.668] (-1114.799) (-1121.708) (-1082.986) -- 0:02:42
Average standard deviation of split frequencies: 0.012249
631000 -- [-1065.205] (-1093.472) (-1108.296) (-1115.226) * [-1071.681] (-1106.318) (-1114.183) (-1080.783) -- 0:02:41
632000 -- [-1067.497] (-1101.557) (-1111.370) (-1112.900) * (-1077.046) (-1115.470) (-1121.453) [-1062.513] -- 0:02:41
633000 -- [-1076.255] (-1106.387) (-1104.126) (-1095.434) * (-1069.831) (-1108.819) (-1113.961) [-1066.338] -- 0:02:41
634000 -- [-1073.622] (-1105.102) (-1103.691) (-1113.223) * (-1071.201) (-1115.157) (-1111.794) [-1073.132] -- 0:02:40
635000 -- [-1066.877] (-1100.977) (-1121.027) (-1106.532) * [-1074.705] (-1110.154) (-1119.171) (-1075.007) -- 0:02:40
Average standard deviation of split frequencies: 0.011788
636000 -- [-1069.708] (-1116.200) (-1104.916) (-1114.554) * (-1080.907) (-1123.826) (-1131.935) [-1069.741] -- 0:02:39
637000 -- [-1082.100] (-1130.965) (-1106.998) (-1117.269) * (-1078.310) (-1121.479) (-1122.531) [-1076.725] -- 0:02:39
638000 -- [-1072.076] (-1097.013) (-1110.498) (-1115.942) * (-1083.605) (-1128.441) (-1116.840) [-1074.859] -- 0:02:38
639000 -- [-1081.730] (-1100.893) (-1113.701) (-1103.241) * [-1078.763] (-1125.679) (-1111.521) (-1073.029) -- 0:02:38
640000 -- [-1079.462] (-1105.747) (-1106.695) (-1100.029) * [-1073.812] (-1116.527) (-1114.776) (-1072.646) -- 0:02:38
Average standard deviation of split frequencies: 0.012072
641000 -- [-1072.627] (-1114.207) (-1125.341) (-1108.650) * [-1074.643] (-1114.872) (-1114.398) (-1078.605) -- 0:02:37
642000 -- [-1081.004] (-1100.380) (-1119.988) (-1114.657) * [-1079.714] (-1114.096) (-1118.358) (-1077.947) -- 0:02:37
643000 -- [-1071.768] (-1099.633) (-1120.691) (-1097.282) * (-1075.289) (-1114.936) (-1121.572) [-1071.461] -- 0:02:36
644000 -- [-1069.331] (-1096.376) (-1117.981) (-1101.064) * (-1077.866) (-1126.816) (-1123.031) [-1091.560] -- 0:02:36
645000 -- [-1068.899] (-1111.185) (-1122.045) (-1111.206) * [-1085.954] (-1121.859) (-1119.611) (-1078.372) -- 0:02:35
Average standard deviation of split frequencies: 0.013300
646000 -- [-1071.362] (-1107.772) (-1107.981) (-1106.763) * (-1076.851) (-1114.100) (-1110.356) [-1075.215] -- 0:02:35
647000 -- [-1078.379] (-1118.313) (-1132.727) (-1106.525) * (-1076.396) (-1112.680) (-1119.520) [-1072.226] -- 0:02:34
648000 -- [-1080.222] (-1127.445) (-1107.535) (-1118.962) * [-1078.083] (-1104.930) (-1123.074) (-1073.668) -- 0:02:34
649000 -- [-1072.753] (-1109.831) (-1104.072) (-1118.642) * (-1080.873) (-1109.621) (-1130.629) [-1080.327] -- 0:02:34
650000 -- [-1070.524] (-1105.050) (-1101.974) (-1118.906) * [-1081.283] (-1122.062) (-1126.493) (-1086.172) -- 0:02:33
Average standard deviation of split frequencies: 0.013508
651000 -- [-1074.342] (-1106.117) (-1101.054) (-1107.462) * (-1077.299) (-1113.517) (-1126.256) [-1093.448] -- 0:02:33
652000 -- [-1071.570] (-1113.264) (-1113.298) (-1109.051) * [-1076.067] (-1104.635) (-1130.705) (-1078.424) -- 0:02:32
653000 -- [-1066.010] (-1107.680) (-1104.383) (-1111.272) * (-1083.604) (-1113.611) (-1116.817) [-1073.752] -- 0:02:32
654000 -- [-1067.959] (-1108.603) (-1104.645) (-1106.324) * [-1065.087] (-1116.495) (-1111.526) (-1080.056) -- 0:02:31
655000 -- [-1079.123] (-1108.264) (-1112.488) (-1103.797) * [-1066.116] (-1108.850) (-1114.385) (-1090.925) -- 0:02:31
Average standard deviation of split frequencies: 0.013491
656000 -- [-1073.022] (-1100.972) (-1111.035) (-1102.053) * (-1073.993) (-1108.823) (-1125.823) [-1078.864] -- 0:02:31
657000 -- [-1075.772] (-1118.096) (-1119.470) (-1108.295) * (-1081.174) (-1116.623) (-1130.135) [-1067.495] -- 0:02:30
658000 -- [-1076.759] (-1106.166) (-1121.470) (-1115.526) * (-1076.167) (-1114.543) (-1135.632) [-1078.018] -- 0:02:30
659000 -- [-1065.084] (-1102.270) (-1119.693) (-1107.513) * (-1080.756) (-1120.486) (-1120.762) [-1072.568] -- 0:02:29
660000 -- [-1072.672] (-1116.293) (-1133.829) (-1110.527) * (-1087.440) (-1111.762) (-1128.168) [-1068.951] -- 0:02:29
Average standard deviation of split frequencies: 0.014271
661000 -- [-1068.963] (-1105.926) (-1108.413) (-1097.726) * [-1078.011] (-1116.109) (-1127.049) (-1088.118) -- 0:02:28
662000 -- [-1067.848] (-1112.590) (-1099.481) (-1095.294) * [-1075.202] (-1121.957) (-1138.685) (-1076.694) -- 0:02:28
663000 -- [-1067.036] (-1117.505) (-1112.701) (-1103.793) * (-1085.733) (-1122.638) (-1134.548) [-1070.633] -- 0:02:27
664000 -- [-1068.622] (-1104.108) (-1110.773) (-1100.294) * (-1068.835) (-1135.637) (-1130.553) [-1074.530] -- 0:02:27
665000 -- [-1065.750] (-1098.836) (-1108.661) (-1105.485) * (-1080.268) (-1133.401) (-1115.962) [-1079.496] -- 0:02:27
Average standard deviation of split frequencies: 0.014818
666000 -- [-1072.558] (-1102.781) (-1111.099) (-1099.910) * (-1077.211) (-1122.429) (-1117.633) [-1073.922] -- 0:02:26
667000 -- [-1075.176] (-1106.486) (-1114.893) (-1124.110) * (-1079.862) (-1117.838) (-1123.831) [-1088.817] -- 0:02:26
668000 -- [-1072.811] (-1105.425) (-1112.799) (-1108.797) * [-1068.578] (-1124.392) (-1120.856) (-1089.334) -- 0:02:25
669000 -- [-1088.592] (-1102.149) (-1119.881) (-1096.039) * (-1075.497) (-1102.898) (-1112.470) [-1082.985] -- 0:02:25
670000 -- [-1079.716] (-1115.261) (-1117.787) (-1109.282) * (-1075.636) (-1111.213) (-1125.853) [-1070.251] -- 0:02:24
Average standard deviation of split frequencies: 0.014919
671000 -- [-1060.459] (-1105.477) (-1122.211) (-1110.932) * [-1065.616] (-1106.449) (-1122.693) (-1079.123) -- 0:02:24
672000 -- [-1068.431] (-1106.877) (-1113.024) (-1107.278) * [-1076.336] (-1108.065) (-1126.473) (-1077.773) -- 0:02:23
673000 -- [-1072.139] (-1110.116) (-1101.676) (-1105.124) * (-1088.688) (-1110.044) (-1125.667) [-1075.621] -- 0:02:23
674000 -- [-1063.951] (-1112.664) (-1114.738) (-1111.346) * (-1088.554) (-1111.160) (-1132.951) [-1073.581] -- 0:02:23
675000 -- [-1074.658] (-1106.966) (-1113.504) (-1092.577) * [-1085.279] (-1115.220) (-1128.894) (-1079.493) -- 0:02:22
Average standard deviation of split frequencies: 0.015612
676000 -- [-1070.930] (-1104.046) (-1114.281) (-1102.691) * [-1077.335] (-1113.249) (-1112.939) (-1076.809) -- 0:02:22
677000 -- [-1078.342] (-1115.673) (-1103.809) (-1100.658) * (-1075.388) (-1121.899) (-1130.548) [-1075.293] -- 0:02:21
678000 -- [-1071.622] (-1105.114) (-1111.781) (-1100.730) * (-1079.941) (-1111.278) (-1123.001) [-1074.028] -- 0:02:21
679000 -- [-1079.300] (-1096.249) (-1101.952) (-1106.773) * [-1076.761] (-1111.574) (-1115.444) (-1079.500) -- 0:02:20
680000 -- [-1075.073] (-1096.350) (-1109.228) (-1101.754) * (-1077.015) (-1108.003) (-1118.031) [-1071.509] -- 0:02:20
Average standard deviation of split frequencies: 0.015639
681000 -- [-1067.671] (-1112.568) (-1114.596) (-1098.723) * [-1072.737] (-1119.869) (-1109.655) (-1073.144) -- 0:02:20
682000 -- [-1074.377] (-1112.914) (-1109.817) (-1112.527) * [-1072.534] (-1110.551) (-1122.358) (-1078.160) -- 0:02:19
683000 -- [-1071.069] (-1105.483) (-1109.243) (-1125.149) * [-1069.366] (-1124.623) (-1134.482) (-1084.881) -- 0:02:19
684000 -- [-1064.931] (-1109.299) (-1105.231) (-1099.808) * (-1072.117) (-1104.799) (-1129.667) [-1070.119] -- 0:02:18
685000 -- [-1069.177] (-1104.796) (-1112.302) (-1097.368) * (-1080.106) (-1114.552) (-1115.485) [-1073.435] -- 0:02:18
Average standard deviation of split frequencies: 0.015916
686000 -- [-1070.117] (-1112.246) (-1104.137) (-1110.220) * (-1073.052) (-1112.399) (-1132.781) [-1084.391] -- 0:02:17
687000 -- [-1068.963] (-1092.485) (-1110.466) (-1123.468) * [-1074.845] (-1123.591) (-1116.980) (-1081.205) -- 0:02:17
688000 -- [-1071.570] (-1096.512) (-1121.751) (-1120.939) * [-1073.397] (-1112.059) (-1109.965) (-1081.086) -- 0:02:16
689000 -- [-1070.271] (-1099.365) (-1111.579) (-1139.818) * [-1080.738] (-1116.966) (-1126.937) (-1072.075) -- 0:02:16
690000 -- [-1070.941] (-1115.696) (-1107.630) (-1124.836) * [-1075.494] (-1114.187) (-1120.558) (-1089.632) -- 0:02:16
Average standard deviation of split frequencies: 0.015786
691000 -- [-1069.893] (-1110.200) (-1102.212) (-1121.451) * [-1080.065] (-1132.576) (-1118.125) (-1079.938) -- 0:02:15
692000 -- [-1072.965] (-1102.267) (-1105.207) (-1121.108) * [-1071.382] (-1122.253) (-1111.367) (-1072.983) -- 0:02:15
693000 -- [-1071.277] (-1100.445) (-1101.831) (-1110.206) * [-1084.681] (-1107.865) (-1129.174) (-1069.242) -- 0:02:14
694000 -- [-1067.763] (-1111.174) (-1104.341) (-1109.356) * [-1070.232] (-1110.810) (-1123.441) (-1088.798) -- 0:02:14
695000 -- [-1071.458] (-1119.724) (-1104.958) (-1095.183) * [-1066.584] (-1112.905) (-1118.921) (-1092.023) -- 0:02:13
Average standard deviation of split frequencies: 0.016518
696000 -- [-1062.720] (-1110.929) (-1108.573) (-1102.837) * [-1072.222] (-1116.327) (-1121.777) (-1068.372) -- 0:02:13
697000 -- [-1068.454] (-1092.884) (-1118.207) (-1116.096) * [-1078.688] (-1109.722) (-1118.192) (-1078.907) -- 0:02:13
698000 -- [-1072.306] (-1111.651) (-1106.890) (-1096.474) * (-1088.754) (-1113.150) (-1116.658) [-1066.506] -- 0:02:12
699000 -- [-1077.568] (-1123.961) (-1109.135) (-1097.850) * (-1090.113) (-1111.675) (-1112.137) [-1065.242] -- 0:02:12
700000 -- [-1075.986] (-1110.987) (-1119.762) (-1103.818) * (-1086.108) (-1116.710) (-1124.440) [-1080.800] -- 0:02:11
Average standard deviation of split frequencies: 0.016950
701000 -- [-1074.720] (-1109.376) (-1119.038) (-1104.301) * (-1083.596) (-1123.163) (-1111.122) [-1071.903] -- 0:02:11
702000 -- [-1066.866] (-1096.449) (-1108.365) (-1102.867) * (-1088.235) (-1117.448) (-1118.950) [-1082.036] -- 0:02:10
703000 -- [-1071.787] (-1104.950) (-1110.061) (-1105.123) * [-1081.388] (-1121.226) (-1119.721) (-1082.810) -- 0:02:10
704000 -- [-1079.887] (-1098.085) (-1113.132) (-1107.626) * [-1087.716] (-1105.613) (-1116.258) (-1088.671) -- 0:02:09
705000 -- [-1076.495] (-1102.678) (-1117.152) (-1108.961) * [-1079.885] (-1120.321) (-1117.881) (-1071.479) -- 0:02:09
Average standard deviation of split frequencies: 0.017167
706000 -- [-1086.408] (-1111.910) (-1128.323) (-1110.011) * (-1094.165) (-1121.785) (-1112.572) [-1082.822] -- 0:02:09
707000 -- [-1069.526] (-1109.209) (-1121.589) (-1099.293) * [-1080.815] (-1115.576) (-1132.395) (-1085.990) -- 0:02:08
708000 -- [-1076.738] (-1117.885) (-1114.748) (-1102.849) * (-1071.885) (-1114.870) (-1131.743) [-1071.700] -- 0:02:08
709000 -- [-1076.618] (-1113.259) (-1106.499) (-1112.236) * [-1085.493] (-1118.163) (-1124.365) (-1075.184) -- 0:02:07
710000 -- [-1074.574] (-1102.033) (-1114.774) (-1104.963) * (-1071.208) (-1115.319) (-1129.953) [-1078.524] -- 0:02:07
Average standard deviation of split frequencies: 0.016433
711000 -- [-1080.774] (-1110.624) (-1115.876) (-1111.493) * (-1080.091) (-1113.863) (-1123.257) [-1077.424] -- 0:02:06
712000 -- [-1075.803] (-1116.100) (-1115.990) (-1123.689) * (-1093.526) (-1121.447) (-1124.521) [-1070.373] -- 0:02:06
713000 -- [-1077.115] (-1109.341) (-1111.607) (-1097.610) * (-1089.590) (-1117.797) (-1118.054) [-1080.751] -- 0:02:05
714000 -- [-1079.681] (-1117.538) (-1126.976) (-1103.900) * (-1084.046) (-1112.081) (-1127.782) [-1075.831] -- 0:02:05
715000 -- [-1070.449] (-1099.712) (-1101.934) (-1097.501) * [-1077.845] (-1118.067) (-1125.664) (-1072.667) -- 0:02:05
Average standard deviation of split frequencies: 0.016162
716000 -- [-1088.891] (-1107.772) (-1111.529) (-1097.033) * [-1085.548] (-1121.767) (-1121.366) (-1089.228) -- 0:02:04
717000 -- [-1079.530] (-1103.492) (-1125.224) (-1098.311) * (-1082.154) (-1123.009) (-1125.673) [-1073.798] -- 0:02:04
718000 -- [-1068.642] (-1120.608) (-1110.031) (-1094.437) * (-1077.191) (-1121.786) (-1126.857) [-1069.672] -- 0:02:03
719000 -- [-1074.845] (-1113.324) (-1109.271) (-1101.666) * [-1066.566] (-1124.760) (-1124.780) (-1075.073) -- 0:02:03
720000 -- [-1071.716] (-1123.842) (-1103.322) (-1103.985) * (-1074.572) (-1106.764) (-1127.826) [-1082.411] -- 0:02:02
Average standard deviation of split frequencies: 0.016015
721000 -- [-1077.051] (-1112.507) (-1113.789) (-1111.016) * (-1069.719) (-1111.092) (-1120.726) [-1071.039] -- 0:02:02
722000 -- [-1064.084] (-1107.818) (-1103.250) (-1100.149) * [-1069.147] (-1122.092) (-1116.160) (-1086.908) -- 0:02:02
723000 -- [-1073.378] (-1120.405) (-1100.800) (-1109.111) * (-1066.375) (-1118.097) (-1116.819) [-1076.997] -- 0:02:01
724000 -- [-1069.980] (-1112.226) (-1101.975) (-1087.279) * [-1069.989] (-1109.208) (-1124.588) (-1067.644) -- 0:02:01
725000 -- [-1071.014] (-1105.370) (-1112.413) (-1106.055) * (-1089.091) (-1113.298) (-1110.706) [-1079.309] -- 0:02:00
Average standard deviation of split frequencies: 0.015856
726000 -- [-1074.605] (-1112.168) (-1104.073) (-1109.940) * (-1068.487) (-1119.657) (-1118.693) [-1067.722] -- 0:02:00
727000 -- [-1082.571] (-1105.678) (-1096.803) (-1111.605) * [-1072.137] (-1112.382) (-1125.190) (-1078.537) -- 0:01:59
728000 -- [-1070.029] (-1103.190) (-1111.814) (-1110.467) * [-1070.754] (-1118.855) (-1116.507) (-1081.268) -- 0:01:59
729000 -- [-1065.063] (-1103.280) (-1102.971) (-1111.191) * [-1075.524] (-1124.084) (-1121.746) (-1088.477) -- 0:01:58
730000 -- [-1071.533] (-1096.984) (-1104.814) (-1108.812) * [-1069.190] (-1109.266) (-1130.289) (-1079.168) -- 0:01:58
Average standard deviation of split frequencies: 0.015942
731000 -- [-1071.875] (-1111.193) (-1115.481) (-1102.589) * [-1067.749] (-1116.745) (-1120.869) (-1080.324) -- 0:01:58
732000 -- [-1063.723] (-1097.239) (-1115.926) (-1102.711) * (-1070.523) (-1126.085) (-1118.060) [-1071.810] -- 0:01:57
733000 -- [-1077.392] (-1115.422) (-1121.248) (-1107.022) * [-1073.614] (-1120.411) (-1122.180) (-1093.990) -- 0:01:57
734000 -- [-1075.085] (-1101.908) (-1101.043) (-1108.441) * [-1074.153] (-1136.991) (-1121.688) (-1100.962) -- 0:01:56
735000 -- [-1064.999] (-1107.199) (-1103.894) (-1113.068) * [-1077.252] (-1123.319) (-1118.645) (-1089.929) -- 0:01:56
Average standard deviation of split frequencies: 0.015661
736000 -- [-1074.727] (-1110.561) (-1122.099) (-1114.449) * [-1065.630] (-1125.937) (-1120.324) (-1088.393) -- 0:01:55
737000 -- [-1073.668] (-1108.885) (-1127.906) (-1107.825) * [-1067.485] (-1124.871) (-1118.398) (-1088.649) -- 0:01:55
738000 -- [-1073.525] (-1114.789) (-1126.099) (-1115.332) * [-1071.348] (-1107.126) (-1116.625) (-1084.172) -- 0:01:55
739000 -- [-1077.734] (-1110.751) (-1127.435) (-1108.489) * [-1072.240] (-1125.778) (-1115.934) (-1075.393) -- 0:01:54
740000 -- [-1079.348] (-1105.285) (-1122.940) (-1115.364) * (-1079.276) (-1112.112) (-1113.326) [-1085.550] -- 0:01:54
Average standard deviation of split frequencies: 0.015727
741000 -- [-1077.502] (-1102.997) (-1112.434) (-1116.780) * (-1085.968) (-1111.199) (-1123.590) [-1072.795] -- 0:01:53
742000 -- [-1083.478] (-1106.020) (-1132.012) (-1111.939) * [-1086.160] (-1117.694) (-1112.193) (-1083.464) -- 0:01:53
743000 -- [-1072.262] (-1096.818) (-1123.594) (-1109.207) * (-1083.048) (-1123.740) (-1104.740) [-1072.962] -- 0:01:52
744000 -- [-1073.327] (-1106.889) (-1111.487) (-1101.336) * [-1074.374] (-1119.204) (-1113.902) (-1087.888) -- 0:01:52
745000 -- [-1089.563] (-1111.056) (-1122.846) (-1111.193) * (-1080.175) (-1122.056) (-1107.638) [-1074.183] -- 0:01:51
Average standard deviation of split frequencies: 0.015431
746000 -- [-1066.422] (-1107.748) (-1105.108) (-1105.115) * (-1074.022) (-1138.518) (-1113.755) [-1073.730] -- 0:01:51
747000 -- [-1072.483] (-1097.727) (-1121.727) (-1115.045) * (-1075.512) (-1122.434) (-1110.914) [-1078.787] -- 0:01:51
748000 -- [-1083.548] (-1102.157) (-1116.247) (-1102.179) * [-1069.074] (-1136.623) (-1121.163) (-1076.637) -- 0:01:50
749000 -- [-1070.748] (-1106.542) (-1104.701) (-1103.077) * [-1070.945] (-1126.870) (-1123.842) (-1074.548) -- 0:01:50
750000 -- [-1067.141] (-1111.058) (-1106.694) (-1104.423) * (-1086.881) (-1117.925) (-1131.253) [-1068.763] -- 0:01:49
Average standard deviation of split frequencies: 0.015254
751000 -- [-1069.640] (-1104.349) (-1107.894) (-1107.951) * (-1074.972) (-1128.244) (-1122.292) [-1068.688] -- 0:01:49
752000 -- [-1075.763] (-1113.916) (-1105.468) (-1101.617) * (-1064.569) (-1114.486) (-1127.981) [-1076.124] -- 0:01:48
753000 -- [-1079.188] (-1117.492) (-1105.049) (-1099.358) * (-1085.096) (-1120.682) (-1120.054) [-1068.895] -- 0:01:48
754000 -- [-1068.608] (-1099.244) (-1124.217) (-1111.915) * [-1071.855] (-1120.138) (-1128.754) (-1086.973) -- 0:01:47
755000 -- [-1083.048] (-1104.981) (-1120.065) (-1116.310) * (-1077.308) (-1134.635) (-1128.623) [-1076.739] -- 0:01:47
Average standard deviation of split frequencies: 0.015488
756000 -- [-1073.517] (-1106.268) (-1116.317) (-1112.208) * (-1075.038) (-1118.407) (-1120.015) [-1076.290] -- 0:01:47
757000 -- [-1083.345] (-1095.144) (-1106.631) (-1107.882) * (-1088.645) (-1118.959) (-1123.416) [-1082.918] -- 0:01:46
758000 -- [-1081.622] (-1102.387) (-1111.477) (-1108.447) * (-1083.486) (-1119.499) (-1127.064) [-1065.958] -- 0:01:45
759000 -- [-1075.375] (-1101.620) (-1111.676) (-1103.972) * (-1088.716) (-1117.113) (-1113.978) [-1066.568] -- 0:01:45
760000 -- [-1072.688] (-1099.351) (-1111.436) (-1112.508) * (-1080.011) (-1115.700) (-1120.260) [-1068.822] -- 0:01:45
Average standard deviation of split frequencies: 0.014873
761000 -- [-1069.997] (-1095.061) (-1130.854) (-1102.940) * (-1089.171) (-1110.698) (-1116.695) [-1072.385] -- 0:01:44
762000 -- [-1082.400] (-1107.666) (-1119.832) (-1094.677) * (-1094.315) (-1127.161) (-1119.028) [-1071.500] -- 0:01:44
763000 -- [-1081.051] (-1110.816) (-1117.434) (-1095.584) * (-1083.785) (-1123.987) (-1119.529) [-1077.066] -- 0:01:44
764000 -- [-1088.557] (-1110.550) (-1107.115) (-1097.608) * (-1076.016) (-1111.218) (-1135.908) [-1072.128] -- 0:01:43
765000 -- [-1085.904] (-1111.283) (-1117.704) (-1093.879) * [-1076.716] (-1098.176) (-1136.803) (-1075.082) -- 0:01:42
Average standard deviation of split frequencies: 0.014849
766000 -- [-1080.918] (-1112.987) (-1109.157) (-1096.613) * [-1077.385] (-1108.148) (-1132.153) (-1073.773) -- 0:01:42
767000 -- [-1073.783] (-1104.051) (-1108.077) (-1100.174) * (-1077.390) (-1098.867) (-1130.710) [-1081.059] -- 0:01:42
768000 -- [-1068.083] (-1099.358) (-1110.870) (-1115.715) * (-1078.104) (-1107.669) (-1136.386) [-1075.434] -- 0:01:41
769000 -- [-1071.881] (-1097.016) (-1110.713) (-1114.682) * (-1077.481) (-1119.567) (-1116.294) [-1069.916] -- 0:01:41
770000 -- [-1061.659] (-1104.798) (-1111.425) (-1104.449) * (-1082.810) (-1107.346) (-1128.685) [-1070.024] -- 0:01:40
Average standard deviation of split frequencies: 0.014996
771000 -- [-1074.741] (-1110.932) (-1117.288) (-1111.769) * [-1072.091] (-1133.715) (-1118.833) (-1074.780) -- 0:01:40
772000 -- [-1068.985] (-1113.488) (-1102.313) (-1115.907) * (-1083.349) (-1116.658) (-1122.422) [-1085.322] -- 0:01:39
773000 -- [-1074.069] (-1123.583) (-1108.199) (-1115.916) * [-1074.859] (-1105.267) (-1115.668) (-1075.083) -- 0:01:39
774000 -- [-1078.855] (-1110.403) (-1105.530) (-1113.062) * [-1079.713] (-1107.596) (-1132.800) (-1089.789) -- 0:01:38
775000 -- [-1072.255] (-1110.309) (-1115.298) (-1112.189) * (-1085.616) (-1122.234) (-1129.419) [-1074.084] -- 0:01:38
Average standard deviation of split frequencies: 0.014932
776000 -- [-1070.968] (-1110.993) (-1131.031) (-1102.137) * [-1081.861] (-1132.562) (-1124.246) (-1078.519) -- 0:01:38
777000 -- [-1076.367] (-1111.166) (-1114.930) (-1101.328) * (-1094.288) (-1116.040) (-1119.799) [-1076.678] -- 0:01:37
778000 -- [-1076.162] (-1122.129) (-1119.831) (-1118.117) * (-1090.501) (-1101.471) (-1113.976) [-1083.667] -- 0:01:37
779000 -- [-1075.171] (-1109.468) (-1110.259) (-1116.975) * [-1075.882] (-1111.618) (-1128.110) (-1082.100) -- 0:01:37
780000 -- [-1069.372] (-1107.143) (-1123.027) (-1112.117) * (-1079.804) (-1116.002) (-1127.590) [-1070.457] -- 0:01:36
Average standard deviation of split frequencies: 0.014746
781000 -- [-1074.589] (-1107.810) (-1104.011) (-1102.682) * (-1096.251) (-1116.797) (-1130.451) [-1080.965] -- 0:01:35
782000 -- [-1067.859] (-1112.458) (-1105.202) (-1092.077) * (-1092.216) (-1110.996) (-1120.181) [-1073.125] -- 0:01:35
783000 -- [-1071.993] (-1108.188) (-1109.752) (-1101.787) * (-1092.617) (-1111.511) (-1120.321) [-1061.801] -- 0:01:35
784000 -- [-1082.077] (-1108.513) (-1110.695) (-1099.815) * (-1079.636) (-1116.544) (-1128.290) [-1073.393] -- 0:01:34
785000 -- [-1076.334] (-1112.716) (-1112.785) (-1101.047) * (-1077.408) (-1124.360) (-1127.329) [-1066.780] -- 0:01:34
Average standard deviation of split frequencies: 0.014936
786000 -- [-1064.101] (-1110.980) (-1099.952) (-1116.614) * (-1077.025) (-1107.236) (-1132.189) [-1064.206] -- 0:01:33
787000 -- [-1072.155] (-1097.290) (-1116.270) (-1104.166) * (-1074.858) (-1112.352) (-1121.419) [-1068.270] -- 0:01:33
788000 -- [-1069.070] (-1110.754) (-1110.108) (-1101.808) * (-1093.322) (-1120.861) (-1131.281) [-1074.556] -- 0:01:33
789000 -- [-1069.265] (-1112.223) (-1111.357) (-1108.863) * (-1081.157) (-1112.702) (-1118.626) [-1080.173] -- 0:01:32
790000 -- [-1063.081] (-1110.875) (-1111.054) (-1109.777) * (-1087.510) (-1106.414) (-1114.940) [-1082.684] -- 0:01:31
Average standard deviation of split frequencies: 0.015613
791000 -- [-1070.867] (-1111.028) (-1114.320) (-1096.022) * (-1087.739) (-1117.196) (-1126.470) [-1079.518] -- 0:01:31
792000 -- [-1071.590] (-1117.464) (-1102.725) (-1111.412) * (-1083.157) (-1113.998) (-1130.959) [-1068.764] -- 0:01:31
793000 -- [-1070.168] (-1103.419) (-1109.325) (-1118.670) * [-1073.079] (-1112.919) (-1138.403) (-1070.926) -- 0:01:30
794000 -- [-1084.919] (-1104.584) (-1114.116) (-1111.096) * (-1070.664) (-1100.671) (-1121.554) [-1072.423] -- 0:01:30
795000 -- [-1070.864] (-1100.320) (-1113.626) (-1107.213) * (-1069.941) (-1109.230) (-1127.320) [-1061.559] -- 0:01:29
Average standard deviation of split frequencies: 0.015712
796000 -- [-1078.311] (-1104.559) (-1107.157) (-1108.485) * (-1076.740) (-1107.735) (-1113.652) [-1064.438] -- 0:01:29
797000 -- [-1074.738] (-1100.816) (-1111.683) (-1106.047) * (-1087.953) (-1118.511) (-1130.225) [-1068.836] -- 0:01:28
798000 -- [-1081.717] (-1100.931) (-1110.743) (-1114.905) * (-1082.720) (-1123.770) (-1117.327) [-1069.343] -- 0:01:28
799000 -- [-1070.975] (-1095.717) (-1116.970) (-1099.142) * (-1075.220) (-1111.442) (-1142.222) [-1066.612] -- 0:01:28
800000 -- [-1072.287] (-1102.549) (-1113.623) (-1115.841) * (-1080.572) (-1116.799) (-1134.334) [-1078.287] -- 0:01:27
Average standard deviation of split frequencies: 0.015142
801000 -- [-1074.063] (-1106.046) (-1103.985) (-1107.860) * (-1082.429) (-1129.356) (-1125.668) [-1074.771] -- 0:01:27
802000 -- [-1069.742] (-1106.028) (-1102.929) (-1106.134) * (-1097.154) (-1137.532) (-1107.508) [-1069.620] -- 0:01:26
803000 -- [-1078.195] (-1110.669) (-1110.124) (-1104.262) * [-1086.606] (-1121.372) (-1122.653) (-1072.406) -- 0:01:26
804000 -- [-1086.380] (-1098.927) (-1102.282) (-1093.838) * [-1083.830] (-1119.812) (-1111.737) (-1081.485) -- 0:01:26
805000 -- [-1069.280] (-1104.568) (-1104.336) (-1104.715) * (-1088.761) (-1122.054) (-1119.211) [-1073.681] -- 0:01:25
Average standard deviation of split frequencies: 0.015353
806000 -- [-1072.498] (-1098.934) (-1103.258) (-1111.674) * (-1083.696) (-1106.470) (-1119.513) [-1075.051] -- 0:01:24
807000 -- [-1080.779] (-1101.250) (-1104.859) (-1111.026) * (-1084.802) (-1116.864) (-1129.083) [-1073.743] -- 0:01:24
808000 -- [-1081.206] (-1106.011) (-1115.691) (-1105.423) * (-1089.899) (-1102.378) (-1126.065) [-1081.196] -- 0:01:24
809000 -- [-1073.465] (-1103.413) (-1118.114) (-1112.228) * (-1082.247) (-1117.066) (-1116.102) [-1078.291] -- 0:01:23
810000 -- [-1060.597] (-1100.865) (-1110.715) (-1105.623) * [-1068.574] (-1116.829) (-1137.189) (-1080.177) -- 0:01:23
Average standard deviation of split frequencies: 0.015628
811000 -- [-1074.897] (-1096.135) (-1114.430) (-1105.122) * (-1083.847) (-1104.419) (-1122.276) [-1077.293] -- 0:01:22
812000 -- [-1079.923] (-1094.336) (-1104.218) (-1105.419) * (-1085.737) (-1114.044) (-1118.009) [-1064.757] -- 0:01:22
813000 -- [-1077.674] (-1094.556) (-1121.441) (-1112.597) * [-1076.621] (-1111.545) (-1119.481) (-1076.075) -- 0:01:22
814000 -- [-1068.812] (-1099.379) (-1104.803) (-1089.505) * (-1078.176) (-1112.628) (-1107.827) [-1085.690] -- 0:01:21
815000 -- [-1065.570] (-1094.730) (-1111.339) (-1104.987) * (-1074.449) (-1108.395) (-1113.075) [-1068.633] -- 0:01:21
Average standard deviation of split frequencies: 0.016176
816000 -- [-1074.555] (-1104.691) (-1106.273) (-1108.521) * (-1072.742) (-1107.378) (-1116.650) [-1073.631] -- 0:01:20
817000 -- [-1068.282] (-1108.008) (-1102.181) (-1107.564) * (-1070.988) (-1115.118) (-1116.909) [-1075.192] -- 0:01:20
818000 -- [-1073.662] (-1108.186) (-1121.287) (-1110.703) * [-1073.416] (-1112.017) (-1119.452) (-1085.662) -- 0:01:19
819000 -- [-1070.656] (-1116.452) (-1114.010) (-1109.445) * [-1067.338] (-1116.571) (-1119.367) (-1087.503) -- 0:01:19
820000 -- [-1069.487] (-1115.006) (-1108.165) (-1110.430) * [-1077.360] (-1119.385) (-1116.172) (-1092.542) -- 0:01:19
Average standard deviation of split frequencies: 0.016066
821000 -- [-1067.434] (-1110.767) (-1102.966) (-1106.128) * [-1074.112] (-1127.428) (-1121.870) (-1086.969) -- 0:01:18
822000 -- [-1065.522] (-1107.840) (-1101.614) (-1100.073) * [-1076.828] (-1123.013) (-1118.280) (-1082.415) -- 0:01:17
823000 -- [-1060.733] (-1103.479) (-1106.982) (-1107.678) * (-1077.293) (-1126.781) (-1126.675) [-1075.904] -- 0:01:17
824000 -- [-1069.070] (-1105.844) (-1111.446) (-1107.719) * (-1087.099) (-1124.603) (-1116.147) [-1086.752] -- 0:01:17
825000 -- [-1066.704] (-1113.047) (-1117.389) (-1110.567) * [-1076.209] (-1118.015) (-1134.885) (-1084.669) -- 0:01:16
Average standard deviation of split frequencies: 0.016604
826000 -- [-1073.239] (-1102.344) (-1122.887) (-1120.298) * [-1082.442] (-1120.699) (-1118.214) (-1077.399) -- 0:01:16
827000 -- [-1067.830] (-1105.163) (-1109.738) (-1107.998) * (-1081.125) (-1131.436) (-1120.608) [-1073.463] -- 0:01:15
828000 -- [-1076.460] (-1092.893) (-1113.333) (-1108.730) * [-1080.489] (-1118.543) (-1121.396) (-1101.616) -- 0:01:15
829000 -- [-1075.372] (-1096.632) (-1120.782) (-1106.345) * [-1077.380] (-1119.125) (-1123.133) (-1083.946) -- 0:01:14
830000 -- [-1075.154] (-1104.078) (-1126.963) (-1104.436) * [-1071.551] (-1123.433) (-1123.168) (-1072.222) -- 0:01:14
Average standard deviation of split frequencies: 0.017238
831000 -- [-1086.103] (-1094.595) (-1122.761) (-1099.026) * (-1081.005) (-1123.370) (-1111.356) [-1062.919] -- 0:01:14
832000 -- [-1081.085] (-1102.252) (-1116.554) (-1096.086) * [-1074.039] (-1118.707) (-1113.137) (-1078.988) -- 0:01:13
833000 -- [-1071.798] (-1100.929) (-1121.096) (-1098.586) * (-1082.725) (-1118.667) (-1114.627) [-1070.749] -- 0:01:13
834000 -- [-1074.113] (-1105.754) (-1125.799) (-1100.357) * [-1084.387] (-1112.805) (-1110.092) (-1066.365) -- 0:01:12
835000 -- [-1072.360] (-1115.665) (-1105.323) (-1113.253) * (-1079.488) (-1113.110) (-1121.550) [-1080.396] -- 0:01:12
Average standard deviation of split frequencies: 0.016969
836000 -- [-1076.502] (-1099.198) (-1108.148) (-1107.061) * [-1077.996] (-1118.398) (-1126.168) (-1089.834) -- 0:01:11
837000 -- [-1066.382] (-1099.153) (-1126.703) (-1110.045) * (-1081.962) (-1134.650) (-1123.750) [-1072.928] -- 0:01:11
838000 -- [-1072.055] (-1103.593) (-1128.469) (-1109.249) * (-1075.333) (-1115.479) (-1127.403) [-1068.420] -- 0:01:10
839000 -- [-1071.777] (-1112.002) (-1128.722) (-1107.500) * (-1091.589) (-1119.180) (-1114.275) [-1066.353] -- 0:01:10
840000 -- [-1071.487] (-1111.198) (-1110.888) (-1110.281) * (-1081.785) (-1107.328) (-1112.209) [-1067.721] -- 0:01:10
Average standard deviation of split frequencies: 0.016998
841000 -- [-1076.967] (-1102.368) (-1115.548) (-1108.843) * (-1077.202) (-1108.663) (-1113.507) [-1071.867] -- 0:01:09
842000 -- [-1071.461] (-1103.706) (-1103.707) (-1106.434) * (-1072.049) (-1119.165) (-1115.640) [-1073.392] -- 0:01:09
843000 -- [-1069.663] (-1101.299) (-1119.997) (-1113.785) * [-1066.255] (-1122.317) (-1117.720) (-1088.362) -- 0:01:08
844000 -- [-1077.124] (-1105.885) (-1108.759) (-1093.803) * [-1062.412] (-1110.086) (-1133.008) (-1087.607) -- 0:01:08
845000 -- [-1071.658] (-1119.454) (-1110.807) (-1103.369) * [-1069.981] (-1123.223) (-1126.738) (-1083.866) -- 0:01:07
Average standard deviation of split frequencies: 0.016786
846000 -- [-1073.788] (-1110.684) (-1119.699) (-1107.678) * [-1067.020] (-1119.298) (-1110.151) (-1087.282) -- 0:01:07
847000 -- [-1074.351] (-1108.368) (-1117.297) (-1105.069) * [-1072.373] (-1113.973) (-1120.619) (-1075.520) -- 0:01:07
848000 -- [-1080.360] (-1103.857) (-1123.219) (-1112.201) * (-1082.022) (-1107.699) (-1129.516) [-1068.913] -- 0:01:06
849000 -- [-1074.976] (-1091.995) (-1116.072) (-1109.571) * [-1071.232] (-1113.449) (-1127.458) (-1075.840) -- 0:01:06
850000 -- [-1083.378] (-1111.000) (-1105.239) (-1112.296) * [-1072.540] (-1109.813) (-1120.244) (-1085.735) -- 0:01:05
Average standard deviation of split frequencies: 0.016452
851000 -- [-1085.963] (-1101.512) (-1104.645) (-1114.396) * (-1073.814) (-1108.405) (-1112.793) [-1074.038] -- 0:01:05
852000 -- [-1066.576] (-1108.857) (-1110.575) (-1108.461) * (-1082.574) (-1111.771) (-1113.724) [-1072.053] -- 0:01:04
853000 -- [-1063.048] (-1107.936) (-1094.546) (-1101.895) * (-1086.319) (-1109.194) (-1128.121) [-1071.720] -- 0:01:04
854000 -- [-1065.002] (-1099.344) (-1111.671) (-1110.832) * [-1083.771] (-1107.102) (-1127.565) (-1092.693) -- 0:01:03
855000 -- [-1070.537] (-1104.657) (-1131.446) (-1105.383) * [-1081.212] (-1119.804) (-1124.272) (-1089.449) -- 0:01:03
Average standard deviation of split frequencies: 0.016366
856000 -- [-1065.895] (-1104.895) (-1106.153) (-1105.118) * (-1091.162) (-1111.628) (-1128.855) [-1079.548] -- 0:01:03
857000 -- [-1081.165] (-1105.170) (-1107.050) (-1101.261) * [-1075.631] (-1114.691) (-1113.646) (-1074.811) -- 0:01:02
858000 -- [-1079.793] (-1111.216) (-1115.008) (-1108.689) * (-1083.651) (-1108.201) (-1115.892) [-1066.034] -- 0:01:02
859000 -- [-1076.537] (-1113.128) (-1121.342) (-1104.343) * (-1074.740) (-1132.432) (-1131.001) [-1074.242] -- 0:01:01
860000 -- [-1082.400] (-1109.220) (-1123.667) (-1099.692) * (-1082.692) (-1117.365) (-1119.645) [-1073.470] -- 0:01:01
Average standard deviation of split frequencies: 0.016038
861000 -- [-1064.644] (-1115.853) (-1134.115) (-1108.145) * [-1073.645] (-1124.365) (-1111.843) (-1074.709) -- 0:01:00
862000 -- [-1067.604] (-1121.299) (-1124.723) (-1111.629) * (-1073.845) (-1122.130) (-1125.098) [-1067.166] -- 0:01:00
863000 -- [-1064.825] (-1121.731) (-1127.851) (-1106.905) * [-1077.410] (-1117.198) (-1109.502) (-1093.924) -- 0:01:00
864000 -- [-1065.927] (-1102.660) (-1124.448) (-1111.363) * (-1081.293) (-1121.233) (-1132.937) [-1079.727] -- 0:00:59
865000 -- [-1070.396] (-1113.047) (-1118.355) (-1107.680) * [-1085.080] (-1121.092) (-1122.858) (-1083.840) -- 0:00:59
Average standard deviation of split frequencies: 0.016024
866000 -- [-1073.232] (-1106.616) (-1104.616) (-1096.046) * (-1088.228) (-1103.504) (-1120.734) [-1072.040] -- 0:00:58
867000 -- [-1070.722] (-1111.029) (-1108.935) (-1097.526) * (-1086.116) (-1113.726) (-1124.002) [-1064.284] -- 0:00:58
868000 -- [-1070.903] (-1101.570) (-1112.616) (-1109.353) * [-1093.464] (-1115.097) (-1118.909) (-1077.196) -- 0:00:57
869000 -- [-1071.899] (-1105.651) (-1128.955) (-1108.733) * (-1083.305) (-1124.026) (-1128.086) [-1081.896] -- 0:00:57
870000 -- [-1071.754] (-1106.134) (-1128.734) (-1110.676) * (-1086.114) (-1115.215) (-1131.256) [-1074.981] -- 0:00:56
Average standard deviation of split frequencies: 0.015431
871000 -- [-1079.027] (-1108.946) (-1117.491) (-1110.599) * (-1073.163) (-1130.061) (-1118.705) [-1069.192] -- 0:00:56
872000 -- [-1076.291] (-1108.191) (-1104.931) (-1112.639) * (-1085.466) (-1113.260) (-1115.702) [-1078.351] -- 0:00:56
873000 -- [-1077.407] (-1135.912) (-1109.009) (-1107.559) * (-1074.469) (-1114.873) (-1117.999) [-1067.496] -- 0:00:55
874000 -- [-1066.162] (-1116.829) (-1099.417) (-1124.713) * [-1066.293] (-1122.694) (-1112.987) (-1080.338) -- 0:00:55
875000 -- [-1078.724] (-1110.327) (-1104.761) (-1113.316) * [-1070.243] (-1126.503) (-1118.058) (-1083.075) -- 0:00:54
Average standard deviation of split frequencies: 0.014950
876000 -- [-1067.836] (-1111.520) (-1113.739) (-1099.890) * [-1066.741] (-1106.358) (-1128.061) (-1104.004) -- 0:00:54
877000 -- [-1070.164] (-1115.947) (-1125.279) (-1104.490) * [-1081.651] (-1113.305) (-1115.432) (-1100.188) -- 0:00:53
878000 -- [-1073.769] (-1099.580) (-1112.013) (-1105.764) * [-1080.631] (-1118.311) (-1129.304) (-1099.164) -- 0:00:53
879000 -- [-1074.665] (-1112.913) (-1100.529) (-1109.914) * [-1072.917] (-1123.872) (-1112.601) (-1096.921) -- 0:00:52
880000 -- [-1078.924] (-1109.797) (-1113.136) (-1100.930) * [-1069.207] (-1105.778) (-1117.451) (-1076.436) -- 0:00:52
Average standard deviation of split frequencies: 0.015322
881000 -- [-1077.243] (-1117.050) (-1102.752) (-1097.069) * [-1084.445] (-1112.799) (-1125.121) (-1083.512) -- 0:00:52
882000 -- [-1084.356] (-1101.039) (-1104.214) (-1105.458) * [-1083.056] (-1115.681) (-1133.131) (-1089.235) -- 0:00:51
883000 -- [-1087.402] (-1105.515) (-1108.777) (-1099.532) * [-1083.130] (-1114.659) (-1116.117) (-1098.842) -- 0:00:51
884000 -- [-1078.594] (-1102.599) (-1110.139) (-1107.432) * [-1069.776] (-1116.488) (-1122.257) (-1087.687) -- 0:00:50
885000 -- [-1076.831] (-1099.629) (-1100.014) (-1106.598) * [-1069.096] (-1113.015) (-1115.537) (-1083.071) -- 0:00:50
Average standard deviation of split frequencies: 0.015247
886000 -- [-1071.655] (-1105.322) (-1122.981) (-1093.930) * [-1085.993] (-1115.757) (-1118.207) (-1081.012) -- 0:00:49
887000 -- [-1080.545] (-1100.797) (-1119.590) (-1105.092) * [-1076.794] (-1121.207) (-1122.944) (-1082.255) -- 0:00:49
888000 -- [-1077.350] (-1104.764) (-1120.101) (-1099.920) * (-1080.856) (-1116.087) (-1125.665) [-1069.671] -- 0:00:49
889000 -- [-1086.475] (-1104.827) (-1123.428) (-1108.229) * (-1079.873) (-1109.723) (-1124.403) [-1065.286] -- 0:00:48
890000 -- [-1075.259] (-1101.373) (-1121.532) (-1114.409) * (-1086.110) (-1115.699) (-1113.437) [-1070.962] -- 0:00:48
Average standard deviation of split frequencies: 0.014671
891000 -- [-1083.429] (-1108.901) (-1114.041) (-1114.278) * (-1097.604) (-1114.209) (-1111.556) [-1060.870] -- 0:00:47
892000 -- [-1081.397] (-1097.623) (-1114.461) (-1109.504) * (-1099.072) (-1117.204) (-1112.835) [-1070.932] -- 0:00:47
893000 -- [-1072.002] (-1106.273) (-1111.345) (-1107.759) * (-1088.532) (-1122.416) (-1115.331) [-1074.674] -- 0:00:46
894000 -- [-1078.999] (-1105.475) (-1122.468) (-1109.160) * (-1082.315) (-1117.867) (-1111.556) [-1079.451] -- 0:00:46
895000 -- [-1074.095] (-1109.355) (-1124.388) (-1110.357) * [-1081.032] (-1106.941) (-1118.316) (-1092.729) -- 0:00:45
Average standard deviation of split frequencies: 0.014485
896000 -- [-1078.415] (-1095.142) (-1105.587) (-1114.221) * [-1069.840] (-1116.608) (-1132.364) (-1085.711) -- 0:00:45
897000 -- [-1062.243] (-1100.034) (-1106.403) (-1102.609) * [-1071.026] (-1110.740) (-1111.138) (-1095.161) -- 0:00:45
898000 -- [-1070.463] (-1108.791) (-1105.527) (-1089.717) * (-1087.168) (-1117.011) (-1109.442) [-1073.477] -- 0:00:44
899000 -- [-1068.895] (-1108.522) (-1129.578) (-1099.801) * (-1094.206) (-1119.418) (-1116.404) [-1072.513] -- 0:00:44
900000 -- [-1067.765] (-1108.243) (-1103.748) (-1097.789) * (-1084.376) (-1116.093) (-1124.152) [-1065.415] -- 0:00:43
Average standard deviation of split frequencies: 0.014917
901000 -- [-1069.469] (-1120.659) (-1102.251) (-1102.730) * [-1081.425] (-1108.145) (-1114.723) (-1074.778) -- 0:00:43
902000 -- [-1069.529] (-1103.365) (-1118.928) (-1102.539) * (-1081.873) (-1107.018) (-1114.009) [-1085.157] -- 0:00:42
903000 -- [-1085.558] (-1107.790) (-1116.558) (-1095.411) * (-1073.453) (-1116.371) (-1119.712) [-1075.576] -- 0:00:42
904000 -- [-1074.800] (-1118.286) (-1119.737) (-1098.184) * (-1081.959) (-1111.255) (-1124.024) [-1076.373] -- 0:00:42
905000 -- [-1081.362] (-1111.317) (-1117.553) (-1096.738) * [-1079.775] (-1109.795) (-1125.793) (-1074.403) -- 0:00:41
Average standard deviation of split frequencies: 0.014764
906000 -- [-1095.014] (-1102.812) (-1108.506) (-1102.739) * (-1077.492) (-1123.600) (-1123.302) [-1068.652] -- 0:00:41
907000 -- [-1082.874] (-1106.345) (-1105.596) (-1105.241) * (-1079.546) (-1124.229) (-1123.899) [-1080.225] -- 0:00:40
908000 -- [-1077.783] (-1098.532) (-1120.241) (-1103.389) * (-1082.730) (-1113.746) (-1128.764) [-1083.082] -- 0:00:40
909000 -- [-1082.697] (-1110.160) (-1125.437) (-1105.567) * (-1088.855) (-1128.744) (-1129.914) [-1084.646] -- 0:00:39
910000 -- [-1080.710] (-1110.182) (-1120.675) (-1104.120) * (-1089.707) (-1124.657) (-1116.986) [-1066.411] -- 0:00:39
Average standard deviation of split frequencies: 0.014203
911000 -- [-1083.442] (-1119.035) (-1112.518) (-1101.786) * [-1077.491] (-1119.680) (-1124.930) (-1073.774) -- 0:00:38
912000 -- [-1068.076] (-1114.320) (-1112.849) (-1109.656) * (-1094.971) (-1115.350) (-1110.370) [-1066.741] -- 0:00:38
913000 -- [-1076.915] (-1111.873) (-1102.619) (-1105.070) * (-1075.311) (-1117.910) (-1115.781) [-1067.090] -- 0:00:38
914000 -- [-1082.045] (-1111.050) (-1120.231) (-1104.531) * [-1080.801] (-1113.194) (-1113.476) (-1075.022) -- 0:00:37
915000 -- [-1087.182] (-1104.204) (-1109.417) (-1101.740) * [-1068.257] (-1117.206) (-1130.571) (-1081.958) -- 0:00:37
Average standard deviation of split frequencies: 0.013220
916000 -- [-1077.157] (-1116.716) (-1115.957) (-1100.229) * [-1071.579] (-1105.356) (-1110.460) (-1072.716) -- 0:00:36
917000 -- [-1087.731] (-1100.924) (-1116.593) (-1113.261) * (-1081.080) (-1114.273) (-1132.826) [-1069.169] -- 0:00:36
918000 -- [-1077.842] (-1096.981) (-1113.227) (-1106.184) * [-1074.888] (-1121.573) (-1123.694) (-1086.161) -- 0:00:35
919000 -- [-1070.606] (-1096.764) (-1116.405) (-1110.940) * (-1081.205) (-1129.287) (-1124.164) [-1071.912] -- 0:00:35
920000 -- [-1076.591] (-1103.201) (-1114.292) (-1097.581) * (-1076.387) (-1122.113) (-1123.647) [-1069.406] -- 0:00:35
Average standard deviation of split frequencies: 0.013569
921000 -- [-1070.588] (-1100.912) (-1119.773) (-1116.735) * (-1080.684) (-1106.124) (-1118.543) [-1070.154] -- 0:00:34
922000 -- [-1076.213] (-1104.035) (-1127.509) (-1118.634) * (-1089.284) (-1120.678) (-1126.539) [-1076.349] -- 0:00:34
923000 -- [-1071.014] (-1108.691) (-1110.724) (-1123.510) * (-1079.196) (-1130.604) (-1120.883) [-1078.434] -- 0:00:33
924000 -- [-1069.953] (-1109.944) (-1119.885) (-1105.926) * (-1076.520) (-1126.651) (-1128.649) [-1073.015] -- 0:00:33
925000 -- [-1066.322] (-1117.373) (-1102.188) (-1100.765) * (-1070.878) (-1123.952) (-1132.173) [-1067.682] -- 0:00:32
Average standard deviation of split frequencies: 0.013379
926000 -- [-1069.517] (-1104.994) (-1110.048) (-1109.756) * (-1085.240) (-1119.121) (-1112.273) [-1069.373] -- 0:00:32
927000 -- [-1074.181] (-1103.189) (-1103.487) (-1109.017) * (-1082.322) (-1124.998) (-1112.489) [-1071.843] -- 0:00:31
928000 -- [-1071.785] (-1111.407) (-1107.328) (-1106.125) * [-1071.265] (-1128.638) (-1115.621) (-1087.740) -- 0:00:31
929000 -- [-1071.572] (-1106.157) (-1109.402) (-1099.706) * (-1066.358) (-1113.415) (-1115.346) [-1077.271] -- 0:00:31
930000 -- [-1068.003] (-1104.011) (-1099.202) (-1112.995) * [-1071.767] (-1120.444) (-1126.078) (-1094.213) -- 0:00:30
Average standard deviation of split frequencies: 0.013185
931000 -- [-1073.863] (-1104.941) (-1111.645) (-1102.446) * [-1068.058] (-1121.981) (-1129.075) (-1088.848) -- 0:00:30
932000 -- [-1070.359] (-1105.454) (-1117.658) (-1101.085) * [-1062.295] (-1122.441) (-1120.395) (-1075.576) -- 0:00:29
933000 -- [-1075.685] (-1111.979) (-1117.164) (-1099.073) * (-1070.927) (-1125.914) (-1124.200) [-1084.963] -- 0:00:29
934000 -- [-1081.952] (-1107.833) (-1102.366) (-1099.805) * [-1069.249] (-1111.344) (-1122.070) (-1075.056) -- 0:00:28
935000 -- [-1069.970] (-1112.473) (-1108.492) (-1102.132) * [-1063.465] (-1113.329) (-1120.740) (-1080.448) -- 0:00:28
Average standard deviation of split frequencies: 0.012607
936000 -- [-1081.106] (-1117.610) (-1115.003) (-1104.869) * (-1077.100) (-1117.405) (-1125.073) [-1073.388] -- 0:00:28
937000 -- [-1082.945] (-1104.479) (-1105.087) (-1109.539) * [-1072.472] (-1115.704) (-1117.453) (-1077.273) -- 0:00:27
938000 -- [-1075.448] (-1103.792) (-1117.287) (-1110.464) * [-1067.152] (-1112.261) (-1130.548) (-1075.007) -- 0:00:27
939000 -- [-1077.271] (-1097.447) (-1105.422) (-1106.391) * [-1074.578] (-1109.930) (-1115.646) (-1078.944) -- 0:00:26
940000 -- [-1078.473] (-1119.977) (-1101.247) (-1109.779) * [-1074.114] (-1123.455) (-1123.517) (-1080.230) -- 0:00:26
Average standard deviation of split frequencies: 0.012074
941000 -- [-1059.628] (-1110.067) (-1109.478) (-1105.599) * [-1068.400] (-1112.025) (-1118.523) (-1073.911) -- 0:00:25
942000 -- [-1060.404] (-1099.739) (-1114.553) (-1106.548) * [-1073.631] (-1107.290) (-1129.851) (-1081.669) -- 0:00:25
943000 -- [-1077.828] (-1115.496) (-1118.772) (-1107.810) * (-1080.537) (-1111.599) (-1115.842) [-1072.109] -- 0:00:24
944000 -- [-1076.264] (-1116.750) (-1112.339) (-1112.274) * (-1070.369) (-1118.258) (-1130.639) [-1067.442] -- 0:00:24
945000 -- [-1071.981] (-1103.357) (-1129.170) (-1095.092) * [-1068.802] (-1107.120) (-1130.070) (-1086.450) -- 0:00:24
Average standard deviation of split frequencies: 0.012022
946000 -- [-1072.866] (-1101.126) (-1119.947) (-1094.603) * [-1064.548] (-1120.957) (-1119.349) (-1089.630) -- 0:00:23
947000 -- [-1075.261] (-1093.578) (-1118.043) (-1098.514) * [-1070.438] (-1114.697) (-1111.720) (-1078.681) -- 0:00:23
948000 -- [-1081.011] (-1094.458) (-1120.887) (-1105.736) * (-1065.616) (-1115.448) (-1115.416) [-1071.722] -- 0:00:22
949000 -- [-1080.833] (-1116.535) (-1106.830) (-1100.361) * (-1074.531) (-1110.586) (-1118.989) [-1067.099] -- 0:00:22
950000 -- [-1068.622] (-1117.261) (-1127.409) (-1102.624) * [-1076.521] (-1109.182) (-1117.987) (-1075.495) -- 0:00:21
Average standard deviation of split frequencies: 0.011947
951000 -- [-1065.549] (-1105.772) (-1120.224) (-1097.421) * [-1074.011] (-1121.395) (-1119.003) (-1098.095) -- 0:00:21
952000 -- [-1074.236] (-1105.610) (-1106.008) (-1107.454) * (-1075.480) (-1106.778) (-1121.281) [-1077.138] -- 0:00:21
953000 -- [-1068.844] (-1107.540) (-1107.764) (-1104.971) * [-1072.616] (-1108.964) (-1118.884) (-1085.477) -- 0:00:20
954000 -- [-1064.842] (-1105.256) (-1109.741) (-1108.595) * [-1061.700] (-1106.137) (-1117.552) (-1079.822) -- 0:00:20
955000 -- [-1068.115] (-1109.735) (-1110.314) (-1093.673) * [-1069.234] (-1110.682) (-1112.804) (-1078.745) -- 0:00:19
Average standard deviation of split frequencies: 0.011542
956000 -- [-1069.275] (-1112.088) (-1105.556) (-1096.447) * [-1063.419] (-1120.468) (-1122.154) (-1091.190) -- 0:00:19
957000 -- [-1072.730] (-1109.508) (-1105.965) (-1113.834) * (-1076.893) (-1115.213) (-1122.406) [-1073.071] -- 0:00:18
958000 -- [-1070.312] (-1100.782) (-1115.975) (-1115.350) * (-1079.882) (-1120.609) (-1125.017) [-1074.011] -- 0:00:18
959000 -- [-1076.642] (-1112.751) (-1121.842) (-1108.077) * (-1092.025) (-1111.836) (-1123.888) [-1071.989] -- 0:00:17
960000 -- [-1080.106] (-1113.477) (-1107.859) (-1099.494) * (-1091.670) (-1129.868) (-1126.421) [-1077.824] -- 0:00:17
Average standard deviation of split frequencies: 0.011639
961000 -- [-1079.015] (-1109.889) (-1109.618) (-1113.905) * (-1086.443) (-1115.520) (-1138.180) [-1080.027] -- 0:00:17
962000 -- [-1083.445] (-1094.980) (-1103.519) (-1106.428) * [-1069.894] (-1117.435) (-1133.482) (-1080.093) -- 0:00:16
963000 -- [-1079.680] (-1104.749) (-1121.693) (-1101.111) * [-1071.381] (-1118.947) (-1121.833) (-1081.146) -- 0:00:16
964000 -- [-1080.543] (-1119.613) (-1117.200) (-1112.264) * [-1078.388] (-1110.454) (-1120.448) (-1075.218) -- 0:00:15
965000 -- [-1081.027] (-1109.631) (-1113.782) (-1113.380) * (-1074.635) (-1114.058) (-1129.484) [-1075.896] -- 0:00:15
Average standard deviation of split frequencies: 0.011666
966000 -- [-1079.973] (-1119.862) (-1118.882) (-1111.884) * [-1075.928] (-1119.221) (-1110.860) (-1084.169) -- 0:00:14
967000 -- [-1072.216] (-1108.060) (-1104.420) (-1134.495) * [-1076.797] (-1126.114) (-1119.258) (-1079.724) -- 0:00:14
968000 -- [-1070.586] (-1109.496) (-1109.313) (-1113.113) * (-1072.816) (-1125.386) (-1118.070) [-1079.312] -- 0:00:14
969000 -- [-1074.774] (-1116.394) (-1106.661) (-1115.214) * (-1091.809) (-1122.028) (-1112.915) [-1077.884] -- 0:00:13
970000 -- [-1073.400] (-1115.790) (-1107.403) (-1119.277) * (-1095.148) (-1120.678) (-1129.494) [-1068.520] -- 0:00:13
Average standard deviation of split frequencies: 0.011929
971000 -- [-1080.289] (-1100.350) (-1114.971) (-1121.593) * (-1082.297) (-1122.409) (-1124.094) [-1079.402] -- 0:00:12
972000 -- [-1085.110] (-1104.232) (-1103.826) (-1114.842) * (-1090.274) (-1126.857) (-1130.015) [-1077.273] -- 0:00:12
973000 -- [-1078.821] (-1117.854) (-1099.888) (-1106.784) * (-1083.496) (-1126.539) (-1109.021) [-1068.982] -- 0:00:11
974000 -- [-1072.050] (-1103.704) (-1111.000) (-1095.808) * (-1091.074) (-1127.682) (-1113.929) [-1067.146] -- 0:00:11
975000 -- [-1065.954] (-1104.736) (-1113.164) (-1101.211) * (-1078.783) (-1132.760) (-1111.438) [-1070.864] -- 0:00:10
Average standard deviation of split frequencies: 0.011516
976000 -- [-1062.626] (-1097.889) (-1110.174) (-1104.881) * (-1077.099) (-1120.312) (-1117.312) [-1070.609] -- 0:00:10
977000 -- [-1067.153] (-1107.963) (-1112.407) (-1108.129) * [-1065.869] (-1109.596) (-1124.536) (-1080.502) -- 0:00:10
978000 -- [-1064.420] (-1109.079) (-1114.120) (-1108.015) * (-1073.488) (-1114.301) (-1112.174) [-1078.352] -- 0:00:09
979000 -- [-1072.852] (-1105.074) (-1107.402) (-1103.748) * [-1070.379] (-1129.920) (-1113.216) (-1090.730) -- 0:00:09
980000 -- [-1073.216] (-1103.999) (-1109.462) (-1099.084) * (-1081.344) (-1122.315) (-1106.972) [-1074.766] -- 0:00:08
Average standard deviation of split frequencies: 0.011639
981000 -- [-1078.270] (-1106.336) (-1109.511) (-1094.886) * [-1085.212] (-1118.783) (-1128.638) (-1074.069) -- 0:00:08
982000 -- [-1076.872] (-1115.116) (-1112.993) (-1101.469) * [-1074.600] (-1110.639) (-1126.211) (-1082.538) -- 0:00:07
983000 -- [-1078.342] (-1108.715) (-1125.493) (-1103.299) * (-1080.977) (-1109.280) (-1106.450) [-1077.951] -- 0:00:07
984000 -- [-1079.364] (-1098.352) (-1125.834) (-1111.593) * [-1073.739] (-1135.840) (-1108.722) (-1072.460) -- 0:00:07
985000 -- [-1076.667] (-1111.923) (-1116.673) (-1097.083) * [-1084.601] (-1116.216) (-1116.535) (-1083.252) -- 0:00:06
Average standard deviation of split frequencies: 0.011619
986000 -- [-1074.985] (-1111.386) (-1118.374) (-1098.572) * [-1079.350] (-1110.190) (-1120.811) (-1076.492) -- 0:00:06
987000 -- [-1064.987] (-1106.374) (-1119.768) (-1104.221) * [-1074.083] (-1133.046) (-1125.348) (-1082.413) -- 0:00:05
988000 -- [-1067.716] (-1111.331) (-1106.886) (-1100.464) * [-1078.600] (-1121.780) (-1120.670) (-1092.401) -- 0:00:05
989000 -- [-1069.881] (-1104.653) (-1118.942) (-1109.086) * [-1080.609] (-1124.227) (-1113.218) (-1086.236) -- 0:00:04
990000 -- [-1067.512] (-1109.974) (-1106.092) (-1099.153) * [-1079.905] (-1107.986) (-1123.461) (-1082.750) -- 0:00:04
Average standard deviation of split frequencies: 0.011536
991000 -- [-1071.444] (-1112.307) (-1122.530) (-1105.516) * [-1080.940] (-1103.037) (-1111.505) (-1091.404) -- 0:00:03
992000 -- [-1080.666] (-1110.007) (-1110.726) (-1106.117) * (-1078.904) (-1109.342) (-1127.644) [-1081.569] -- 0:00:03
993000 -- [-1071.461] (-1107.470) (-1125.225) (-1112.759) * [-1073.073] (-1116.942) (-1129.096) (-1086.283) -- 0:00:03
994000 -- [-1071.743] (-1107.155) (-1114.228) (-1100.684) * [-1068.342] (-1121.886) (-1119.014) (-1087.629) -- 0:00:02
995000 -- [-1078.595] (-1106.613) (-1112.856) (-1113.460) * [-1071.001] (-1104.167) (-1142.512) (-1099.363) -- 0:00:02
Average standard deviation of split frequencies: 0.011746
996000 -- [-1072.941] (-1107.525) (-1116.354) (-1101.588) * [-1069.167] (-1121.075) (-1129.385) (-1089.953) -- 0:00:01
997000 -- [-1085.410] (-1113.301) (-1124.411) (-1108.757) * [-1078.323] (-1120.117) (-1133.782) (-1075.291) -- 0:00:01
998000 -- [-1075.202] (-1112.892) (-1116.373) (-1095.824) * (-1083.979) (-1121.586) (-1109.138) [-1074.397] -- 0:00:00
999000 -- [-1075.955] (-1110.888) (-1123.897) (-1104.991) * (-1079.171) (-1111.666) (-1124.529) [-1070.293] -- 0:00:00
1000000 -- [-1069.042] (-1120.782) (-1116.071) (-1106.445) * (-1074.877) (-1111.932) (-1122.129) [-1072.785] -- 0:00:00
Average standard deviation of split frequencies: 0.011535
Analysis completed in 7 mins 18 seconds
Analysis used 438.54 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1055.77
Likelihood of best state for "cold" chain of run 2 was -1058.58
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
65.2 % ( 70 %) Dirichlet(Revmat{all})
85.4 % ( 76 %) Slider(Revmat{all})
27.8 % ( 32 %) Dirichlet(Pi{all})
30.0 % ( 22 %) Slider(Pi{all})
76.2 % ( 51 %) Multiplier(Alpha{1,2})
76.1 % ( 58 %) Multiplier(Alpha{3})
70.9 % ( 65 %) Slider(Pinvar{all})
60.6 % ( 59 %) ExtSPR(Tau{all},V{all})
59.9 % ( 59 %) ExtTBR(Tau{all},V{all})
70.8 % ( 66 %) NNI(Tau{all},V{all})
43.5 % ( 36 %) ParsSPR(Tau{all},V{all})
27.7 % ( 18 %) Multiplier(V{all})
78.6 % ( 84 %) Nodeslider(V{all})
27.2 % ( 29 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
66.4 % ( 59 %) Dirichlet(Revmat{all})
84.7 % ( 76 %) Slider(Revmat{all})
27.5 % ( 23 %) Dirichlet(Pi{all})
30.1 % ( 28 %) Slider(Pi{all})
76.2 % ( 58 %) Multiplier(Alpha{1,2})
76.1 % ( 56 %) Multiplier(Alpha{3})
69.9 % ( 62 %) Slider(Pinvar{all})
61.1 % ( 56 %) ExtSPR(Tau{all},V{all})
60.5 % ( 61 %) ExtTBR(Tau{all},V{all})
71.1 % ( 69 %) NNI(Tau{all},V{all})
43.7 % ( 48 %) ParsSPR(Tau{all},V{all})
27.6 % ( 34 %) Multiplier(V{all})
78.4 % ( 77 %) Nodeslider(V{all})
27.5 % ( 26 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.10 0.00 0.00
2 | 166830 0.10 0.01
3 | 166294 166846 0.31
4 | 166617 167038 166375
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.23 0.00 0.00
2 | 166940 0.01 0.00
3 | 166215 166245 0.30
4 | 166933 166732 166935
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)
+------------------------------------------------------------+ -1068.99
| 1 |
| 1 1 |
| 2 |
| 1 1 2 2 |
| 21 * 1 * * 2 1 1 |
| 1 2 2 21 1 1 1 * |
| 1 2 11 2 2 2 2 2 1 1 1|
| 1 2 1 * 11 11 2 1 2 |
|2 1 2 112 2 122 1 2 1 2 2 |
| 12 1 2 1 21 2 2 2 * * 22 2 |
| 1 2 *1 12 2 1 1 22 1 1 22|
| 2 2 2 2 * 1 2 1 1 |
|1 1 2 1 |
| 22 2 |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1078.89
^ ^
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 -1063.44 -1092.47
2 -1066.14 -1092.09
--------------------------------------
TOTAL -1064.07 -1092.30
--------------------------------------
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} 0.039507 0.000106 0.020128 0.058597 0.038153 734.47 1117.73 1.000
r(A<->C){all} 0.044523 0.001851 0.000009 0.128537 0.032093 104.97 144.47 1.000
r(A<->G){all} 0.134127 0.004582 0.015229 0.259500 0.124370 182.54 224.61 1.000
r(A<->T){all} 0.051103 0.001357 0.001756 0.125681 0.042489 197.62 276.79 1.000
r(C<->G){all} 0.056361 0.002931 0.000022 0.169161 0.038053 133.48 169.12 1.002
r(C<->T){all} 0.628058 0.009331 0.443979 0.815674 0.628751 113.95 147.16 1.001
r(G<->T){all} 0.085827 0.002655 0.003387 0.186040 0.076495 169.29 223.29 1.001
pi(A){all} 0.229118 0.000248 0.199014 0.260011 0.228598 891.74 911.00 1.000
pi(C){all} 0.164482 0.000190 0.138925 0.193458 0.164366 690.74 796.71 1.000
pi(G){all} 0.170430 0.000210 0.143493 0.199813 0.170284 811.31 848.06 1.001
pi(T){all} 0.435970 0.000343 0.400952 0.472872 0.436028 744.23 757.51 1.001
alpha{1,2} 1.157004 1.032890 0.000036 3.122554 0.867713 782.46 807.52 1.000
alpha{3} 0.652398 0.591226 0.000174 2.144866 0.380692 646.79 753.34 1.000
pinvar{all} 0.713134 0.029204 0.347904 0.938372 0.757427 266.45 284.65 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
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 -- C1
2 -- C10
3 -- C11
4 -- C12
5 -- C13
6 -- C15
7 -- C16
8 -- C17
9 -- C19
10 -- C20
11 -- C22
12 -- C23
13 -- C24
14 -- C25
15 -- C35
16 -- C39
17 -- C4
18 -- C40
19 -- C41
20 -- C44
21 -- C47
22 -- C48
23 -- C49
24 -- C52
25 -- C54
26 -- C55
27 -- C6
28 -- C7
29 -- C8
30 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ...........**.................
32 -- .................*.*..........
33 -- ..........*..*................
34 -- ..*.......................*...
35 -- ..........*..*...*.*..........
36 -- ....*.....*..*.*.*.*.......*..
37 -- ...*..............*...........
38 -- .***.*****.**.*.*.*.*******.**
39 -- .*...................*........
40 -- .*..*.....*..*.*.*.*.*.....*..
41 -- ..**.*****.**.*.*.*.*.*****.**
42 -- ..*........**.*...........*...
43 -- ..*........**.*...*.......*...
44 -- ...........**.*...............
45 -- ..*...........*...........*...
46 -- ..*........**.............*...
47 -- ....*..........*..............
48 -- ....*......................*..
49 -- ....*.....*..*.*.*.*.*.....*..
50 -- ...............*...........*..
51 -- ....*.....*..*...*.*..........
52 -- ....*.....*..*.*.*.*..........
53 -- ..........*..*.*.*.*..........
54 -- ..........*..*...*.*.......*..
55 -- .*..*.....*..*.*.*.*.......*..
56 -- ....*..........*...........*..
57 -- ....*.....*..*...*.*.......*..
58 -- ..........*..*.*.*.*.......*..
59 -- ..............*...*...........
60 -- .***.*****.**.*.*.*.*.*****.**
61 -- ..**.*****.**.*.*.*.*******.**
62 -- ..*...........*...*.......*...
63 -- .*..*.....*..*.*.*.*.*....**..
------------------------------------
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 2997 0.998334 0.001413 0.997335 0.999334 2
32 2991 0.996336 0.004240 0.993338 0.999334 2
33 2911 0.969687 0.002355 0.968021 0.971352 2
34 2283 0.760493 0.073961 0.708195 0.812791 2
35 2264 0.754164 0.001884 0.752831 0.755496 2
36 1544 0.514324 0.002827 0.512325 0.516322 2
37 1201 0.400067 0.007066 0.395070 0.405063 2
38 1191 0.396736 0.001413 0.395736 0.397735 2
39 946 0.315123 0.011306 0.307129 0.323118 2
40 849 0.282811 0.011777 0.274484 0.291139 2
41 849 0.282811 0.005182 0.279147 0.286476 2
42 768 0.255829 0.032976 0.232512 0.279147 2
43 750 0.249833 0.016017 0.238508 0.261159 2
44 727 0.242172 0.003298 0.239840 0.244504 2
45 560 0.186542 0.037687 0.159893 0.213191 2
46 486 0.161892 0.002827 0.159893 0.163891 2
47 474 0.157895 0.007537 0.152565 0.163225 2
48 471 0.156895 0.001413 0.155896 0.157895 2
49 440 0.146569 0.006595 0.141905 0.151233 2
50 430 0.143238 0.015075 0.132578 0.153897 2
51 421 0.140240 0.002355 0.138574 0.141905 2
52 417 0.138907 0.015546 0.127915 0.149900 2
53 411 0.136909 0.013662 0.127249 0.146569 2
54 401 0.133578 0.011777 0.125250 0.141905 2
55 366 0.121919 0.002827 0.119920 0.123917 2
56 363 0.120919 0.001413 0.119920 0.121919 2
57 357 0.118921 0.001413 0.117921 0.119920 2
58 355 0.118254 0.003298 0.115923 0.120586 2
59 352 0.117255 0.021670 0.101932 0.132578 2
60 347 0.115590 0.005182 0.111925 0.119254 2
61 322 0.107262 0.005653 0.103264 0.111259 2
62 275 0.091606 0.012719 0.082612 0.100600 2
63 249 0.082945 0.036274 0.057295 0.108594 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] 0.001336 0.000001 0.000054 0.003086 0.001150 1.000 2
length{all}[2] 0.001482 0.000001 0.000129 0.003384 0.001292 1.000 2
length{all}[3] 0.000673 0.000000 0.000000 0.002007 0.000455 1.006 2
length{all}[4] 0.000756 0.000000 0.000001 0.002067 0.000571 1.000 2
length{all}[5] 0.000943 0.000001 0.000011 0.002349 0.000772 1.001 2
length{all}[6] 0.000487 0.000000 0.000000 0.001522 0.000323 1.000 2
length{all}[7] 0.000476 0.000000 0.000000 0.001476 0.000330 1.000 2
length{all}[8] 0.000461 0.000000 0.000000 0.001424 0.000304 1.001 2
length{all}[9] 0.000501 0.000000 0.000000 0.001564 0.000323 1.000 2
length{all}[10] 0.000480 0.000000 0.000000 0.001419 0.000326 1.001 2
length{all}[11] 0.000489 0.000000 0.000000 0.001452 0.000328 1.000 2
length{all}[12] 0.000481 0.000000 0.000000 0.001488 0.000331 1.000 2
length{all}[13] 0.000504 0.000000 0.000001 0.001559 0.000332 1.000 2
length{all}[14] 0.000496 0.000000 0.000000 0.001554 0.000337 1.001 2
length{all}[15] 0.000557 0.000000 0.000000 0.001645 0.000368 1.000 2
length{all}[16] 0.000479 0.000000 0.000000 0.001426 0.000338 1.000 2
length{all}[17] 0.000467 0.000000 0.000000 0.001389 0.000322 1.000 2
length{all}[18] 0.000492 0.000000 0.000000 0.001426 0.000342 1.000 2
length{all}[19] 0.001525 0.000001 0.000100 0.003418 0.001313 1.000 2
length{all}[20] 0.000463 0.000000 0.000000 0.001405 0.000313 1.000 2
length{all}[21] 0.000465 0.000000 0.000000 0.001425 0.000321 1.000 2
length{all}[22] 0.000532 0.000000 0.000000 0.001695 0.000355 1.000 2
length{all}[23] 0.000469 0.000000 0.000000 0.001491 0.000307 1.000 2
length{all}[24] 0.000912 0.000000 0.000029 0.002270 0.000738 1.000 2
length{all}[25] 0.000951 0.000001 0.000025 0.002367 0.000767 1.001 2
length{all}[26] 0.000967 0.000001 0.000022 0.002351 0.000790 1.000 2
length{all}[27] 0.001079 0.000001 0.000001 0.002753 0.000872 1.001 2
length{all}[28] 0.001446 0.000001 0.000131 0.003199 0.001261 1.000 2
length{all}[29] 0.000472 0.000000 0.000000 0.001465 0.000305 1.000 2
length{all}[30] 0.000956 0.000001 0.000010 0.002297 0.000772 1.000 2
length{all}[31] 0.001580 0.000001 0.000152 0.003500 0.001358 1.000 2
length{all}[32] 0.001091 0.000001 0.000009 0.002695 0.000884 1.001 2
length{all}[33] 0.001079 0.000001 0.000033 0.002665 0.000873 1.000 2
length{all}[34] 0.001067 0.000001 0.000022 0.002575 0.000879 1.000 2
length{all}[35] 0.000908 0.000001 0.000006 0.002305 0.000729 1.001 2
length{all}[36] 0.000944 0.000001 0.000005 0.002417 0.000747 0.999 2
length{all}[37] 0.000942 0.000001 0.000002 0.002378 0.000774 1.002 2
length{all}[38] 0.000957 0.000001 0.000005 0.002371 0.000755 1.000 2
length{all}[39] 0.000661 0.000000 0.000000 0.001964 0.000462 1.000 2
length{all}[40] 0.000870 0.000000 0.000003 0.002124 0.000706 1.000 2
length{all}[41] 0.000941 0.000001 0.000005 0.002289 0.000749 0.999 2
length{all}[42] 0.000865 0.000001 0.000011 0.002206 0.000712 0.999 2
length{all}[43] 0.000921 0.000000 0.000024 0.002222 0.000767 0.999 2
length{all}[44] 0.000680 0.000000 0.000001 0.001879 0.000487 1.001 2
length{all}[45] 0.000624 0.000000 0.000002 0.001788 0.000453 1.000 2
length{all}[46] 0.000618 0.000000 0.000000 0.001802 0.000399 0.998 2
length{all}[47] 0.000479 0.000000 0.000002 0.001504 0.000315 1.004 2
length{all}[48] 0.000467 0.000000 0.000001 0.001509 0.000308 0.998 2
length{all}[49] 0.000730 0.000001 0.000000 0.002250 0.000500 1.002 2
length{all}[50] 0.000450 0.000000 0.000001 0.001381 0.000315 1.001 2
length{all}[51] 0.000511 0.000000 0.000001 0.001420 0.000364 0.998 2
length{all}[52] 0.000567 0.000000 0.000001 0.001803 0.000368 1.000 2
length{all}[53] 0.000454 0.000000 0.000001 0.001270 0.000313 0.998 2
length{all}[54] 0.000424 0.000000 0.000000 0.001441 0.000294 0.998 2
length{all}[55] 0.000636 0.000000 0.000000 0.001830 0.000456 0.998 2
length{all}[56] 0.000516 0.000000 0.000003 0.001544 0.000326 0.997 2
length{all}[57] 0.000512 0.000000 0.000001 0.001690 0.000330 0.999 2
length{all}[58] 0.000482 0.000000 0.000000 0.001546 0.000339 1.005 2
length{all}[59] 0.000562 0.000000 0.000001 0.001807 0.000327 0.998 2
length{all}[60] 0.000677 0.000001 0.000000 0.002250 0.000442 0.997 2
length{all}[61] 0.000637 0.000000 0.000005 0.001987 0.000430 1.001 2
length{all}[62] 0.000705 0.000000 0.000008 0.001744 0.000580 0.998 2
length{all}[63] 0.000975 0.000001 0.000067 0.002307 0.000828 1.000 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 = 0.011535
Maximum standard deviation of split frequencies = 0.073961
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.006
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C10 (2)
|
|---------------------------------------------------------------------- C12 (4)
|
|---------------------------------------------------------------------- C15 (6)
|
|---------------------------------------------------------------------- C16 (7)
|
|---------------------------------------------------------------------- C17 (8)
|
|---------------------------------------------------------------------- C19 (9)
|
|---------------------------------------------------------------------- C20 (10)
|
|---------------------------------------------------------------------- C35 (15)
|
|---------------------------------------------------------------------- C4 (17)
|
|---------------------------------------------------------------------- C41 (19)
|
|---------------------------------------------------------------------- C47 (21)
|
|---------------------------------------------------------------------- C48 (22)
|
+---------------------------------------------------------------------- C49 (23)
|
|---------------------------------------------------------------------- C52 (24)
|
|---------------------------------------------------------------------- C54 (25)
|
|---------------------------------------------------------------------- C55 (26)
|
|---------------------------------------------------------------------- C8 (29)
|
|---------------------------------------------------------------------- C9 (30)
|
| /----------------- C23 (12)
|-------------------------100------------------------+
| \----------------- C24 (13)
|
| /----------------- C11 (3)
|-------------------------76-------------------------+
| \----------------- C6 (27)
|
| /---------------------------------------------------- C13 (5)
| |
| | /----------------- C22 (11)
| | /--------97-------+
| | | \----------------- C25 (14)
| |-------75-------+
\--------51-------+ | /----------------- C40 (18)
| \-------100-------+
| \----------------- C44 (20)
|
|---------------------------------------------------- C39 (16)
|
\---------------------------------------------------- C7 (28)
Phylogram (based on average branch lengths):
/------------------------------ C1 (1)
|
|--------------------------------- C10 (2)
|
|--------------- C12 (4)
|
|-------- C15 (6)
|
|--------- C16 (7)
|
|-------- C17 (8)
|
|-------- C19 (9)
|
|-------- C20 (10)
|
|---------- C35 (15)
|
|-------- C4 (17)
|
|---------------------------------- C41 (19)
|
|-------- C47 (21)
|
|--------- C48 (22)
|
+-------- C49 (23)
|
|------------------- C52 (24)
|
|-------------------- C54 (25)
|
|-------------------- C55 (26)
|
|-------- C8 (29)
|
|-------------------- C9 (30)
|
| /--------- C23 (12)
|----------------------------------+
| \--------- C24 (13)
|
| /------------ C11 (3)
|----------------------+
| \---------------------- C6 (27)
|
| /-------------------- C13 (5)
| |
| | /-------- C22 (11)
| | /----------------------+
| | | \--------- C25 (14)
| |------------------+
\------------------+ | /--------- C40 (18)
| \----------------------+
| \-------- C44 (20)
|
|--------- C39 (16)
|
\--------------------------------- C7 (28)
|-----------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Sat Nov 05 01:39:57 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 04:16:21 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml,NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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 C52 678 sites
reading seq# 2 C4 678 sites
reading seq# 3 C44 678 sites
reading seq# 4 C9 678 sites
reading seq# 5 C7 678 sites
reading seq# 6 C11 678 sites
reading seq# 7 C48 678 sites
reading seq# 8 C39 678 sites
reading seq# 9 C13 678 sites
reading seq#10 C35 678 sites
reading seq#11 C17 678 sites
reading seq#12 C24 678 sites
reading seq#13 C16 678 sites
reading seq#14 C54 678 sites
reading seq#15 C15 678 sites
reading seq#16 C40 678 sites
reading seq#17 C12 678 sites
reading seq#18 C25 678 sites
reading seq#19 C23 678 sites
reading seq#20 C47 678 sites
reading seq#21 C41 678 sites
reading seq#22 C55 678 sites
reading seq#23 C1 678 sites
reading seq#24 C19 678 sites
reading seq#25 C20 678 sites
reading seq#26 C10 678 sites
reading seq#27 C6 678 sites
reading seq#28 C49 678 sites
reading seq#29 C8 678 sites
reading seq#30 C22 678 sitesns = 30 ls = 678
Reading sequences, sequential format..
Reading seq # 1: C52
Reading seq # 2: C4
Reading seq # 3: C44
Reading seq # 4: C9
Reading seq # 5: C7
Reading seq # 6: C11
Reading seq # 7: C48
Reading seq # 8: C39
Reading seq # 9: C13
Reading seq #10: C35
Reading seq #11: C17
Reading seq #12: C24
Reading seq #13: C16
Reading seq #14: C54
Reading seq #15: C15
Reading seq #16: C40
Reading seq #17: C12
Reading seq #18: C25
Reading seq #19: C23
Reading seq #20: C47
Reading seq #21: C41
Reading seq #22: C55
Reading seq #23: C1
Reading seq #24: C19
Reading seq #25: C20
Reading seq #26: C10
Reading seq #27: C6
Reading seq #28: C49
Reading seq #29: C8
Reading seq #30: C22
Sites with gaps or missing data are removed.
3 ambiguity characters in seq. 1
3 ambiguity characters in seq. 2
3 ambiguity characters in seq. 3
3 ambiguity characters in seq. 4
3 ambiguity characters in seq. 5
3 ambiguity characters in seq. 6
3 ambiguity characters in seq. 7
3 ambiguity characters in seq. 8
3 ambiguity characters in seq. 9
3 ambiguity characters in seq. 10
3 ambiguity characters in seq. 11
3 ambiguity characters in seq. 12
3 ambiguity characters in seq. 13
3 ambiguity characters in seq. 14
3 ambiguity characters in seq. 15
3 ambiguity characters in seq. 16
3 ambiguity characters in seq. 17
3 ambiguity characters in seq. 18
3 ambiguity characters in seq. 19
3 ambiguity characters in seq. 20
3 ambiguity characters in seq. 21
3 ambiguity characters in seq. 22
3 ambiguity characters in seq. 23
3 ambiguity characters in seq. 24
3 ambiguity characters in seq. 25
3 ambiguity characters in seq. 26
3 ambiguity characters in seq. 27
3 ambiguity characters in seq. 28
3 ambiguity characters in seq. 29
3 ambiguity characters in seq. 30
1 sites are removed. 100
Sequences read..
Counting site patterns.. 0:00
Compressing, 63 patterns at 225 / 225 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 63 patterns at 225 / 225 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
61488 bytes for conP
5544 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
215208 bytes for conP, adjusted
0.018542 0.097780 0.090584 0.063633 0.103651 0.080816 0.105213 0.084015 0.035926 0.097440 0.099715 0.032467 0.063528 0.101130 0.074242 0.039848 0.010980 0.018900 0.102306 0.090422 0.048236 0.044796 0.065415 0.095965 0.038934 0.044242 0.084881 0.064324 0.022546 0.080150 0.092976 0.010829 0.060103 0.046755 0.060642 0.036024 0.300000 0.652680 0.410506
ntime & nrate & np: 36 2 39
Bounds (np=39):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 9.153879
np = 39
lnL0 = -1437.815197
Iterating by ming2
Initial: fx= 1437.815197
x= 0.01854 0.09778 0.09058 0.06363 0.10365 0.08082 0.10521 0.08401 0.03593 0.09744 0.09971 0.03247 0.06353 0.10113 0.07424 0.03985 0.01098 0.01890 0.10231 0.09042 0.04824 0.04480 0.06542 0.09597 0.03893 0.04424 0.08488 0.06432 0.02255 0.08015 0.09298 0.01083 0.06010 0.04676 0.06064 0.03602 0.30000 0.65268 0.41051
1 h-m-p 0.0000 0.0001 957.3228 ++ 1340.680256 m 0.0001 44 | 1/39
2 h-m-p 0.0000 0.0000 20253.2866 ++ 1278.218945 m 0.0000 86 | 2/39
3 h-m-p 0.0000 0.0000 30275.8858 ++ 1230.322861 m 0.0000 128 | 3/39
4 h-m-p 0.0000 0.0000 24105.9674 ++ 1220.328870 m 0.0000 170 | 4/39
5 h-m-p 0.0000 0.0000 24164.7523 ++ 1219.022062 m 0.0000 212 | 5/39
6 h-m-p 0.0000 0.0000 28248.9163 ++ 1176.395531 m 0.0000 254 | 6/39
7 h-m-p 0.0000 0.0000 32401.3464 ++ 1175.640699 m 0.0000 296 | 7/39
8 h-m-p 0.0000 0.0000 22762.7624 ++ 1167.519547 m 0.0000 338 | 8/39
9 h-m-p 0.0000 0.0000 6812.1825 ++ 1125.551211 m 0.0000 380 | 9/39
10 h-m-p 0.0000 0.0000 32711.8423 ++ 1125.534009 m 0.0000 422 | 10/39
11 h-m-p 0.0000 0.0000 18058.1535 ++ 1119.465844 m 0.0000 464 | 11/39
12 h-m-p 0.0000 0.0000 5251.4479 ++ 1104.801725 m 0.0000 506 | 12/39
13 h-m-p 0.0000 0.0000 2376.5779 ++ 1102.696084 m 0.0000 548 | 13/39
14 h-m-p 0.0000 0.0000 5422.9753 ++ 1100.693658 m 0.0000 590 | 14/39
15 h-m-p 0.0000 0.0000 1488.6782 ++ 1098.005289 m 0.0000 632 | 15/39
16 h-m-p 0.0000 0.0000 5056.7826 ++ 1096.581374 m 0.0000 674 | 16/39
17 h-m-p 0.0000 0.0000 1203.0680 ++ 1095.963652 m 0.0000 716 | 17/39
18 h-m-p 0.0000 0.0001 270.1963 +CCCCC 1094.197298 4 0.0001 768 | 17/39
19 h-m-p 0.0001 0.0007 97.5575 +YYCCC 1092.304009 4 0.0005 817 | 17/39
20 h-m-p 0.0001 0.0003 337.8218 YCYCCC 1090.543954 5 0.0002 867 | 17/39
21 h-m-p 0.0001 0.0005 592.9894 +YYYYCYCCCC 1082.184253 9 0.0004 923 | 17/39
22 h-m-p 0.0000 0.0001 7037.4065 +YCYYYYCCCC 1069.908852 10 0.0000 980 | 17/39
23 h-m-p 0.0000 0.0000 18598.8014 ++ 1066.924821 m 0.0000 1022 | 17/39
24 h-m-p 0.0029 0.0153 35.0629 CYCCC 1066.075268 4 0.0020 1071 | 17/39
25 h-m-p 0.0070 0.0349 2.3716 +YYYCCC 1063.440642 5 0.0253 1121 | 17/39
26 h-m-p 0.0037 0.0183 5.8751 YCYCCC 1062.003133 5 0.0096 1171 | 17/39
27 h-m-p 0.0010 0.0049 11.3233 +YCCC 1060.486005 3 0.0043 1219 | 17/39
28 h-m-p 0.0004 0.0019 3.4928 ++ 1060.138844 m 0.0019 1261 | 18/39
29 h-m-p 0.0045 0.0836 1.0495 +YCYCCC 1056.991147 5 0.0462 1312 | 17/39
30 h-m-p 0.0002 0.0010 64.3830 YC 1056.802105 1 0.0002 1355 | 17/39
31 h-m-p 0.0180 0.1249 0.5372 +YCYCCC 1052.329823 5 0.0863 1406 | 17/39
32 h-m-p 0.0057 0.0284 0.4597 YCYCCC 1051.380050 5 0.0156 1478 | 17/39
33 h-m-p 0.0041 0.0204 0.8558 ++ 1050.902310 m 0.0204 1542 | 18/39
34 h-m-p 0.0190 0.1161 0.8996 +YYYYC 1048.497821 4 0.0737 1611 | 18/39
35 h-m-p 0.2216 1.1081 0.1818 YCCC 1045.399722 3 0.5564 1679 | 18/39
36 h-m-p 0.0829 0.4147 0.1852 YCYCCC 1044.801416 5 0.2177 1750 | 18/39
37 h-m-p 0.1580 1.2734 0.2552 +YYYCCCC 1043.414861 6 0.6468 1823 | 18/39
38 h-m-p 0.0706 0.3529 0.7288 +YYCCCC 1042.336543 5 0.2172 1895 | 18/39
39 h-m-p 0.4233 3.9553 0.3740 +YYCC 1040.289282 3 1.2428 1963 | 18/39
40 h-m-p 0.2358 1.1789 0.4089 +YYCCCC 1038.571767 5 0.7840 2035 | 18/39
41 h-m-p 0.6355 3.1775 0.3936 YCCC 1037.248754 3 1.3205 2103 | 18/39
42 h-m-p 0.5764 2.8822 0.4241 YCCCC 1036.163895 4 1.3597 2173 | 18/39
43 h-m-p 0.9510 4.7551 0.5139 CYC 1035.563461 2 0.9994 2239 | 18/39
44 h-m-p 1.1130 5.5648 0.2963 CCC 1035.290442 2 1.2964 2306 | 18/39
45 h-m-p 1.6000 8.0000 0.1781 CCC 1035.106803 2 1.9080 2373 | 18/39
46 h-m-p 1.6000 8.0000 0.0637 CCC 1035.012435 2 2.5006 2440 | 18/39
47 h-m-p 1.6000 8.0000 0.0630 YCCC 1034.941447 3 2.5507 2508 | 18/39
48 h-m-p 1.6000 8.0000 0.0496 +YCC 1034.822748 2 4.5361 2575 | 18/39
49 h-m-p 1.6000 8.0000 0.1146 CYC 1034.709020 2 1.6218 2641 | 18/39
50 h-m-p 1.5488 8.0000 0.1200 +YC 1034.592362 1 4.7446 2706 | 18/39
51 h-m-p 1.6000 8.0000 0.0810 YCCC 1034.423976 3 3.6392 2774 | 18/39
52 h-m-p 1.6000 8.0000 0.1336 CCC 1034.365047 2 1.7654 2841 | 18/39
53 h-m-p 1.0344 8.0000 0.2281 CC 1034.331163 1 1.1803 2906 | 18/39
54 h-m-p 1.6000 8.0000 0.1656 YC 1034.271931 1 3.7441 2970 | 18/39
55 h-m-p 1.6000 8.0000 0.1908 +YC 1034.160639 1 4.1753 3035 | 18/39
56 h-m-p 1.6000 8.0000 0.1270 CCC 1034.126280 2 2.2047 3102 | 18/39
57 h-m-p 1.6000 8.0000 0.0112 YC 1034.097172 1 3.7951 3166 | 18/39
58 h-m-p 0.3786 8.0000 0.1126 +YC 1034.070501 1 2.7476 3231 | 18/39
59 h-m-p 1.6000 8.0000 0.0602 YC 1034.052240 1 2.7512 3295 | 18/39
60 h-m-p 1.5317 8.0000 0.1081 +YC 1034.019884 1 4.1489 3360 | 18/39
61 h-m-p 1.6000 8.0000 0.2178 CCC 1033.990542 2 2.1909 3427 | 18/39
62 h-m-p 1.6000 8.0000 0.1224 CC 1033.986715 1 1.5062 3492 | 18/39
63 h-m-p 1.6000 8.0000 0.0333 YC 1033.985054 1 2.7008 3556 | 18/39
64 h-m-p 1.6000 8.0000 0.0005 +YC 1033.982251 1 5.1883 3621 | 18/39
65 h-m-p 1.6000 8.0000 0.0013 YC 1033.978699 1 2.9045 3685 | 18/39
66 h-m-p 0.4361 8.0000 0.0085 +CC 1033.977369 1 1.9556 3751 | 18/39
67 h-m-p 1.6000 8.0000 0.0077 CC 1033.977037 1 2.3130 3816 | 18/39
68 h-m-p 0.9980 8.0000 0.0179 YC 1033.976896 1 2.4565 3880 | 18/39
69 h-m-p 1.6000 8.0000 0.0031 C 1033.976871 0 1.5125 3943 | 18/39
70 h-m-p 1.6000 8.0000 0.0014 C 1033.976870 0 1.2926 4006 | 18/39
71 h-m-p 1.5065 8.0000 0.0012 C 1033.976870 0 1.6874 4069 | 18/39
72 h-m-p 1.6000 8.0000 0.0001 C 1033.976870 0 1.3315 4132 | 18/39
73 h-m-p 1.6000 8.0000 0.0000 Y 1033.976870 0 0.2116 4195 | 18/39
74 h-m-p 0.0748 8.0000 0.0001 Y 1033.976870 0 0.0748 4258 | 18/39
75 h-m-p 0.2848 8.0000 0.0000 Y 1033.976870 0 0.2848 4321 | 18/39
76 h-m-p 0.2247 8.0000 0.0000 -C 1033.976870 0 0.0140 4385 | 18/39
77 h-m-p 0.0160 8.0000 0.0001 --------C 1033.976870 0 0.0000 4456
Out..
lnL = -1033.976870
4457 lfun, 13371 eigenQcodon, 320904 P(t)
end of tree file.
Time used: 1:29
Model 2: PositiveSelection
TREE # 1
(23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
0.073921 0.068141 0.080787 0.025111 0.026307 0.043761 0.014034 0.038192 0.069208 0.075085 0.062923 0.031296 0.037693 0.027282 0.035305 0.098398 0.043723 0.104314 0.082475 0.092292 0.104052 0.016709 0.021161 0.018686 0.044983 0.079698 0.056591 0.025500 0.101162 0.065158 0.011318 0.048318 0.100606 0.105812 0.039497 0.047930 9.629007 1.731549 0.175502 0.385195 1.406351
ntime & nrate & np: 36 3 41
Bounds (np=41):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 1.762381
np = 41
lnL0 = -1344.867128
Iterating by ming2
Initial: fx= 1344.867128
x= 0.07392 0.06814 0.08079 0.02511 0.02631 0.04376 0.01403 0.03819 0.06921 0.07508 0.06292 0.03130 0.03769 0.02728 0.03530 0.09840 0.04372 0.10431 0.08248 0.09229 0.10405 0.01671 0.02116 0.01869 0.04498 0.07970 0.05659 0.02550 0.10116 0.06516 0.01132 0.04832 0.10061 0.10581 0.03950 0.04793 9.62901 1.73155 0.17550 0.38520 1.40635
1 h-m-p 0.0000 0.0001 975.5966 ++ 1283.902056 m 0.0001 46 | 1/41
2 h-m-p 0.0000 0.0000 17400.0754 ++ 1271.349157 m 0.0000 90 | 2/41
3 h-m-p 0.0000 0.0000 46239.9598 ++ 1256.730986 m 0.0000 134 | 3/41
4 h-m-p 0.0000 0.0000 1217.5133 ++ 1247.202172 m 0.0000 178 | 4/41
5 h-m-p 0.0000 0.0000 986.7689 ++ 1232.103004 m 0.0000 222 | 5/41
6 h-m-p 0.0000 0.0000 2923.9785 ++ 1228.884375 m 0.0000 266 | 6/41
7 h-m-p 0.0000 0.0000 23488.5552 ++ 1226.499260 m 0.0000 310 | 7/41
8 h-m-p 0.0000 0.0000 1204.5462 ++ 1218.134010 m 0.0000 354 | 8/41
9 h-m-p 0.0000 0.0000 2751.1656 ++ 1204.631170 m 0.0000 398 | 9/41
10 h-m-p 0.0000 0.0000 20382.5908 ++ 1203.173510 m 0.0000 442 | 10/41
11 h-m-p 0.0000 0.0000 792370.1539 ++ 1195.462224 m 0.0000 486 | 11/41
12 h-m-p 0.0000 0.0000 3743.2236 ++ 1170.477952 m 0.0000 530 | 12/41
13 h-m-p 0.0000 0.0000 175069.9093 ++ 1154.461240 m 0.0000 574 | 13/41
14 h-m-p 0.0000 0.0000 5600.3845 ++ 1130.490187 m 0.0000 618 | 14/41
15 h-m-p 0.0000 0.0000 6221.9271 ++ 1128.602319 m 0.0000 662 | 15/41
16 h-m-p 0.0000 0.0000 1531.2294 ++ 1127.437755 m 0.0000 706 | 16/41
17 h-m-p 0.0000 0.0000 879.6907 ++ 1127.149059 m 0.0000 750 | 17/41
18 h-m-p 0.0000 0.0003 360.1850 +++ 1099.734773 m 0.0003 795 | 17/41
19 h-m-p 0.0000 0.0000 2270.4347 YYC 1099.706937 2 0.0000 841 | 17/41
20 h-m-p 0.0000 0.0000 1345.1997 YCYCCC 1098.814409 5 0.0000 893 | 17/41
21 h-m-p 0.0000 0.0000 175.0217 +YCYCCC 1098.249744 5 0.0000 946 | 17/41
22 h-m-p 0.0000 0.0000 330.3348 +YYYYYYCCCC 1095.508030 9 0.0000 1003 | 17/41
23 h-m-p 0.0000 0.0000 5489.2700 +YYCYYCCC 1084.634462 7 0.0000 1059 | 17/41
24 h-m-p 0.0000 0.0002 263.8136 +YYYYYYYYY 1077.497951 8 0.0001 1112 | 17/41
25 h-m-p 0.0000 0.0000 2169.8234 +YYYCCC 1074.544426 5 0.0000 1164 | 17/41
26 h-m-p 0.0000 0.0001 271.0482 +YYYCC 1072.859546 4 0.0001 1214 | 17/41
27 h-m-p 0.0000 0.0000 593.9830 +YYYC 1070.791163 3 0.0000 1262 | 17/41
28 h-m-p 0.0001 0.0004 111.8573 +YCYCCC 1068.256646 5 0.0002 1315 | 17/41
29 h-m-p 0.0003 0.0015 25.8573 +YYCYC 1066.884884 4 0.0010 1365 | 17/41
30 h-m-p 0.0001 0.0005 182.4760 +YYCCCC 1064.286863 5 0.0003 1418 | 17/41
31 h-m-p 0.0001 0.0007 95.8626 YCYCCC 1063.020748 5 0.0003 1470 | 17/41
32 h-m-p 0.0001 0.0004 154.0665 YCYCCC 1061.854141 5 0.0002 1522 | 17/41
33 h-m-p 0.0006 0.0029 28.2685 +YCYCCC 1060.215614 5 0.0016 1575 | 17/41
34 h-m-p 0.0027 0.0135 8.7375 +YCYCCC 1058.460498 5 0.0076 1628 | 17/41
35 h-m-p 0.0010 0.0048 31.4936 +YYCYCC 1056.125037 5 0.0034 1680 | 17/41
36 h-m-p 0.0047 0.0236 17.5767 ++ 1049.003073 m 0.0236 1724 | 18/41
37 h-m-p 0.0034 0.0169 15.2543 ++ 1044.597370 m 0.0169 1768 | 19/41
38 h-m-p 0.0053 0.0263 0.7316 +YCYCCC 1044.060964 5 0.0149 1821 | 19/41
39 h-m-p 0.0003 0.0016 4.4365 ----------.. | 19/41
40 h-m-p 0.0000 0.0001 37634.8428 -CYCYYYC 1039.430575 6 0.0000 1948 | 19/41
41 h-m-p 0.0000 0.0001 1274.0037 CYCCC 1036.715585 4 0.0000 1999 | 19/41
42 h-m-p 0.0000 0.0001 326.4702 YCYCCC 1034.660433 5 0.0000 2051 | 19/41
43 h-m-p 0.0000 0.0001 138.2109 YCCCC 1034.412515 4 0.0000 2102 | 19/41
44 h-m-p 0.0001 0.0003 40.0237 YC 1034.395273 1 0.0000 2147 | 19/41
45 h-m-p 0.0001 0.0011 17.8880 CC 1034.389328 1 0.0000 2193 | 19/41
46 h-m-p 0.0002 0.0057 4.6867 YC 1034.389040 1 0.0000 2238 | 19/41
47 h-m-p 0.0001 0.0144 1.4353 C 1034.388940 0 0.0001 2282 | 19/41
48 h-m-p 0.0000 0.0120 3.9651 +CC 1034.388509 1 0.0002 2329 | 19/41
49 h-m-p 0.0000 0.0043 19.5569 +C 1034.386906 0 0.0001 2374 | 19/41
50 h-m-p 0.0000 0.0060 85.9782 ++C 1034.361191 0 0.0005 2420 | 19/41
51 h-m-p 0.0000 0.0009 1293.8977 +YC 1034.283302 1 0.0001 2466 | 19/41
52 h-m-p 0.0001 0.0004 671.9147 YC 1034.270655 1 0.0000 2511 | 19/41
53 h-m-p 0.0003 0.0020 63.8997 -CC 1034.269461 1 0.0000 2558 | 19/41
54 h-m-p 0.0004 0.0058 4.6195 -C 1034.269397 0 0.0000 2603 | 19/41
55 h-m-p 0.0002 0.0259 0.4936 Y 1034.269390 0 0.0000 2647 | 18/41
56 h-m-p 0.0002 0.1024 0.6144 +YC 1034.269199 1 0.0006 2715 | 18/41
57 h-m-p 0.0000 0.0122 11.0912 ++YC 1034.266577 1 0.0005 2785 | 18/41
58 h-m-p 0.0000 0.0076 107.5213 ++CCC 1034.223049 2 0.0008 2835 | 18/41
59 h-m-p 0.0001 0.0017 1551.3318 +CC 1034.041847 1 0.0002 2882 | 18/41
60 h-m-p 0.0002 0.0009 305.0855 CC 1034.035643 1 0.0000 2928 | 18/41
61 h-m-p 0.0424 4.3730 0.3016 ++YCCC 1033.832235 3 1.4315 2979 | 18/41
62 h-m-p 1.6000 8.0000 0.1008 YC 1033.815841 1 0.8371 3047 | 18/41
63 h-m-p 1.6000 8.0000 0.0396 CC 1033.811163 1 2.4207 3116 | 18/41
64 h-m-p 1.1003 8.0000 0.0870 +C 1033.797825 0 4.4268 3184 | 18/41
65 h-m-p 1.6000 8.0000 0.2300 YCCC 1033.772911 3 3.3719 3256 | 18/41
66 h-m-p 1.6000 8.0000 0.3179 CCC 1033.743443 2 2.0269 3327 | 18/41
67 h-m-p 0.5760 8.0000 1.1187 CC 1033.728775 1 0.5760 3396 | 18/41
68 h-m-p 1.6000 8.0000 0.2311 YCC 1033.717972 2 1.0991 3443 | 18/41
69 h-m-p 1.1693 8.0000 0.2172 +YC 1033.706117 1 3.8120 3512 | 18/41
70 h-m-p 1.6000 8.0000 0.2686 CC 1033.700243 1 1.4487 3581 | 18/41
71 h-m-p 1.6000 8.0000 0.0984 YC 1033.699976 1 0.9399 3649 | 18/41
72 h-m-p 1.6000 8.0000 0.0154 C 1033.699895 0 1.6462 3716 | 18/41
73 h-m-p 1.4305 8.0000 0.0177 ++ 1033.699423 m 8.0000 3783 | 18/41
74 h-m-p 1.3317 8.0000 0.1062 C 1033.699067 0 1.3880 3850 | 18/41
75 h-m-p 1.6000 8.0000 0.0202 Y 1033.699023 0 0.6898 3917 | 18/41
76 h-m-p 1.0245 8.0000 0.0136 C 1033.699019 0 1.0377 3984 | 18/41
77 h-m-p 1.6000 8.0000 0.0009 ++ 1033.699010 m 8.0000 4051 | 18/41
78 h-m-p 0.0718 8.0000 0.0985 ++YC 1033.698894 1 2.2247 4121 | 18/41
79 h-m-p 1.6000 8.0000 0.1140 ++ 1033.698353 m 8.0000 4188 | 18/41
80 h-m-p 1.6000 8.0000 0.5001 YY 1033.698160 1 2.4455 4256 | 18/41
81 h-m-p 1.6000 8.0000 0.4054 C 1033.698076 0 1.4717 4323 | 18/41
82 h-m-p 1.6000 8.0000 0.3005 Y 1033.698046 0 3.1111 4390 | 18/41
83 h-m-p 1.6000 8.0000 0.3750 C 1033.698030 0 2.0940 4457 | 18/41
84 h-m-p 1.6000 8.0000 0.3395 C 1033.698025 0 2.3043 4524 | 18/41
85 h-m-p 1.6000 8.0000 0.3873 C 1033.698022 0 2.1585 4591 | 18/41
86 h-m-p 1.6000 8.0000 0.3586 C 1033.698021 0 2.4820 4658 | 18/41
87 h-m-p 1.6000 8.0000 0.3386 C 1033.698020 0 2.2295 4725 | 18/41
88 h-m-p 1.6000 8.0000 0.3822 Y 1033.698020 0 3.4106 4792 | 18/41
89 h-m-p 1.6000 8.0000 0.2930 C 1033.698020 0 1.5509 4859 | 18/41
90 h-m-p 1.2630 8.0000 0.3598 +C 1033.698020 0 4.7215 4927 | 18/41
91 h-m-p 1.6000 8.0000 0.3452 C 1033.698020 0 1.6000 4994 | 18/41
92 h-m-p 1.6000 8.0000 0.1757 Y 1033.698020 0 0.7886 5061 | 18/41
93 h-m-p 0.4939 8.0000 0.2805 Y 1033.698020 0 0.9034 5128 | 18/41
94 h-m-p 0.3537 8.0000 0.7164 +Y 1033.698020 0 1.0247 5196 | 18/41
95 h-m-p 0.3694 8.0000 1.9873 Y 1033.698020 0 0.3694 5263 | 18/41
96 h-m-p 0.0278 3.0562 26.4211 ++Y 1033.698020 0 0.2879 5309 | 18/41
97 h-m-p 0.3547 3.4108 21.4447 Y 1033.698020 0 0.2346 5353 | 18/41
98 h-m-p 0.2030 2.7483 24.7837 Y 1033.698020 0 0.3858 5397 | 18/41
99 h-m-p 0.3179 1.9463 30.0838 Y 1033.698020 0 0.1478 5441 | 18/41
100 h-m-p 0.1802 2.1921 24.6810 C 1033.698020 0 0.1802 5485 | 18/41
101 h-m-p 0.2065 2.3064 21.5298 -------Y 1033.698020 0 0.0000 5536 | 18/41
102 h-m-p 0.0005 0.2293 216.5985 -----------.. | 18/41
103 h-m-p 0.0006 0.2910 0.0318 ----------- | 18/41
104 h-m-p 0.0160 8.0000 0.0566 -----Y 1033.698020 0 0.0000 5714 | 18/41
105 h-m-p 0.0119 5.9438 0.0103 ---Y 1033.698020 0 0.0000 5784 | 18/41
106 h-m-p 0.0126 6.3106 0.0028 --Y 1033.698020 0 0.0001 5853 | 18/41
107 h-m-p 0.0160 8.0000 0.0015 -----Y 1033.698020 0 0.0000 5925 | 18/41
108 h-m-p 0.0160 8.0000 0.0001 -------------.. | 18/41
109 h-m-p 0.0160 8.0000 0.0395 ------------Y 1033.698020 0 0.0000 6082 | 18/41
110 h-m-p 0.0157 7.8658 0.0054 ------------Y 1033.698020 0 0.0000 6161 | 18/41
111 h-m-p 0.0027 1.3627 0.0324 ------------.. | 18/41
112 h-m-p 0.0160 8.0000 0.0395 -------------
Out..
lnL = -1033.698020
6317 lfun, 25268 eigenQcodon, 682236 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) = -1042.787725 S = -1012.574044 -22.401841
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 63 patterns 4:36
did 20 / 63 patterns 4:36
did 30 / 63 patterns 4:36
did 40 / 63 patterns 4:36
did 50 / 63 patterns 4:36
did 60 / 63 patterns 4:36
did 63 / 63 patterns 4:36end of tree file.
Time used: 4:36
Model 7: beta
TREE # 1
(23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
0.034515 0.041182 0.087146 0.079121 0.033110 0.068487 0.016460 0.029210 0.101901 0.015273 0.090615 0.037826 0.032384 0.050609 0.054766 0.043707 0.042935 0.089235 0.078260 0.032440 0.048702 0.017723 0.098308 0.024884 0.055228 0.060393 0.086604 0.045181 0.042989 0.058408 0.093581 0.079296 0.085042 0.010489 0.099994 0.010017 9.825713 0.249601 1.886920
ntime & nrate & np: 36 1 39
Bounds (np=39):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 4.055341
np = 39
lnL0 = -1339.635135
Iterating by ming2
Initial: fx= 1339.635135
x= 0.03452 0.04118 0.08715 0.07912 0.03311 0.06849 0.01646 0.02921 0.10190 0.01527 0.09062 0.03783 0.03238 0.05061 0.05477 0.04371 0.04293 0.08923 0.07826 0.03244 0.04870 0.01772 0.09831 0.02488 0.05523 0.06039 0.08660 0.04518 0.04299 0.05841 0.09358 0.07930 0.08504 0.01049 0.09999 0.01002 9.82571 0.24960 1.88692
1 h-m-p 0.0000 0.0001 965.9904 ++ 1286.034458 m 0.0001 83 | 1/39
2 h-m-p 0.0000 0.0000 86845.4265 ++ 1261.849990 m 0.0000 164 | 2/39
3 h-m-p 0.0000 0.0000 7906.2792 ++ 1255.974642 m 0.0000 244 | 3/39
4 h-m-p 0.0000 0.0000 6336.4998 ++ 1241.753082 m 0.0000 323 | 4/39
5 h-m-p 0.0000 0.0000 4331.5557 ++ 1218.205526 m 0.0000 401 | 5/39
6 h-m-p 0.0000 0.0000 13479.7603 ++ 1208.299896 m 0.0000 478 | 6/39
7 h-m-p 0.0000 0.0000 21857.0900 ++ 1195.847780 m 0.0000 554 | 7/39
8 h-m-p 0.0000 0.0000 5202.5098 ++ 1181.641041 m 0.0000 629 | 8/39
9 h-m-p 0.0000 0.0000 4103.6523 ++ 1162.357262 m 0.0000 703 | 9/39
10 h-m-p 0.0000 0.0000 25113.6352 ++ 1148.758189 m 0.0000 776 | 10/39
11 h-m-p 0.0000 0.0000 150995.5405 ++ 1119.801014 m 0.0000 848 | 11/39
12 h-m-p 0.0000 0.0000 3471.3378 ++ 1111.793129 m 0.0000 919 | 12/39
13 h-m-p 0.0000 0.0000 6731.5990 ++ 1095.990756 m 0.0000 989 | 13/39
14 h-m-p 0.0000 0.0000 2640.5565 ++ 1086.019845 m 0.0000 1058 | 14/39
15 h-m-p 0.0000 0.0000 1867.2868 ++ 1084.302581 m 0.0000 1126 | 15/39
16 h-m-p 0.0000 0.0000 1427.9905 ++ 1078.109506 m 0.0000 1193 | 16/39
17 h-m-p 0.0000 0.0000 705.9586 ++ 1076.926157 m 0.0000 1259 | 17/39
18 h-m-p 0.0000 0.0002 296.6446 ++YCYYYYYC 1061.780673 7 0.0002 1334 | 17/39
19 h-m-p 0.0000 0.0000 528.2249 +YCYCCC 1060.711378 5 0.0000 1407 | 17/39
20 h-m-p 0.0001 0.0003 133.4892 +YCYYCCC 1054.996721 6 0.0002 1481 | 17/39
21 h-m-p 0.0000 0.0000 1580.4603 +CYCCC 1052.101231 4 0.0000 1553 | 17/39
22 h-m-p 0.0000 0.0000 841.3574 +YYCCC 1050.615505 4 0.0000 1624 | 17/39
23 h-m-p 0.0000 0.0000 2385.6639 +YYYYYYYY 1047.386956 7 0.0000 1696 | 17/39
24 h-m-p 0.0000 0.0000 669.5532 +YCYCCC 1045.285563 5 0.0000 1769 | 17/39
25 h-m-p 0.0000 0.0000 556.1646 YCYCCC 1044.503191 5 0.0000 1841 | 17/39
26 h-m-p 0.0000 0.0001 392.6953 +YCYCCC 1043.335488 5 0.0000 1914 | 17/39
27 h-m-p 0.0000 0.0000 544.8565 YCYCCC 1042.900956 5 0.0000 1986 | 17/39
28 h-m-p 0.0000 0.0002 38.3382 CCC 1042.774013 2 0.0001 2054 | 17/39
29 h-m-p 0.0000 0.0003 56.3260 +YCCC 1042.558162 3 0.0001 2124 | 17/39
30 h-m-p 0.0003 0.0026 17.8983 +YYYYCCCCC 1041.683557 8 0.0013 2201 | 17/39
31 h-m-p 0.0011 0.0054 5.8485 YCYCCC 1041.104959 5 0.0028 2273 | 17/39
32 h-m-p 0.0015 0.0076 7.9045 +YCYCCC 1039.760137 5 0.0042 2346 | 17/39
33 h-m-p 0.0011 0.0055 7.9340 YCCCC 1039.476669 4 0.0022 2417 | 17/39
34 h-m-p 0.0113 0.0564 1.1760 YCYCCC 1038.588394 5 0.0308 2489 | 17/39
35 h-m-p 0.0160 0.0801 0.8869 +YCYCCC 1037.462151 5 0.0451 2562 | 17/39
36 h-m-p 0.0440 1.6168 0.9082 +CYC 1036.746284 2 0.2162 2630 | 17/39
37 h-m-p 0.1725 0.8625 0.5030 CYCCC 1036.389074 4 0.1292 2701 | 17/39
38 h-m-p 0.2137 1.0686 0.0649 CYCCC 1035.920549 4 0.3165 2772 | 17/39
39 h-m-p 0.0359 2.0138 0.5731 ++YCC 1035.657113 2 0.4006 2841 | 17/39
40 h-m-p 0.1798 0.8992 0.9332 CCCCC 1035.478530 4 0.2429 2913 | 17/39
41 h-m-p 0.1605 0.8633 1.4124 +YYYYCCYCC 1034.615898 8 0.7602 2990 | 17/39
42 h-m-p 0.0022 0.0110 17.5086 +YCCC 1034.533263 3 0.0066 3060 | 17/39
43 h-m-p 0.0121 0.0605 0.9267 +YYCYC 1034.490599 4 0.0429 3130 | 17/39
44 h-m-p 0.0218 0.1092 0.3920 ++ 1034.277021 m 0.1092 3194 | 17/39
45 h-m-p 1.1481 5.7406 0.0115 YCCC 1034.059882 3 0.7832 3263 | 17/39
46 h-m-p 0.3180 8.0000 0.0283 +YCC 1034.011631 2 0.8686 3331 | 17/39
47 h-m-p 0.7582 3.7909 0.0086 YC 1033.995549 1 1.6816 3396 | 17/39
48 h-m-p 0.5117 2.5585 0.0074 +CC 1033.991099 1 1.7742 3463 | 17/39
49 h-m-p 0.4925 2.4623 0.0040 +YC 1033.990130 1 1.4692 3529 | 17/39
50 h-m-p 0.2206 1.1030 0.0042 ++ 1033.989786 m 1.1030 3593 | 17/39
51 h-m-p -0.0000 -0.0000 0.0052
h-m-p: -0.00000000e+00 -0.00000000e+00 5.22075084e-03 1033.989786
.. | 17/39
52 h-m-p 0.0000 0.0015 4.9893 YC 1033.989526 1 0.0000 3719 | 17/39
53 h-m-p 0.0001 0.0492 0.6965 C 1033.989516 0 0.0000 3783 | 17/39
54 h-m-p 0.0013 0.6362 0.1819 --Y 1033.989516 0 0.0000 3849 | 17/39
55 h-m-p 0.0004 0.1990 0.1461 Y 1033.989515 0 0.0001 3913 | 17/39
56 h-m-p 0.0036 1.8131 0.1178 C 1033.989510 0 0.0013 3977 | 17/39
57 h-m-p 0.0001 0.0500 2.5349 C 1033.989508 0 0.0000 4041 | 17/39
58 h-m-p 0.0007 0.3747 0.1992 -C 1033.989507 0 0.0000 4106 | 17/39
59 h-m-p 0.0023 1.1386 0.0176 --Y 1033.989507 0 0.0001 4172 | 17/39
60 h-m-p 0.0049 2.4517 0.0111 ---C 1033.989507 0 0.0000 4239 | 17/39
61 h-m-p 0.0011 0.5694 0.0050 +Y 1033.989507 0 0.0093 4304 | 17/39
62 h-m-p 0.0000 0.0015 1.9072 +Y 1033.989507 0 0.0002 4369 | 17/39
63 h-m-p 0.0000 0.0002 12.5849 ++ 1033.989499 m 0.0002 4433 | 17/39
64 h-m-p -0.0000 -0.0000 38.4682
h-m-p: -0.00000000e+00 -0.00000000e+00 3.84682320e+01 1033.989499
.. | 17/39
65 h-m-p 0.0002 0.0787 0.1938 C 1033.989498 0 0.0000 4558 | 17/39
66 h-m-p 0.0003 0.1727 0.1065 -Y 1033.989498 0 0.0000 4623 | 17/39
67 h-m-p 0.0030 1.5072 0.0229 --C 1033.989498 0 0.0000 4689 | 17/39
68 h-m-p 0.0039 1.9314 0.0096 -Y 1033.989498 0 0.0001 4754 | 17/39
69 h-m-p 0.0057 2.8599 0.0447 Y 1033.989498 0 0.0010 4818 | 17/39
70 h-m-p 0.0016 0.7937 0.0495 --C 1033.989498 0 0.0000 4884 | 17/39
71 h-m-p 0.0044 2.1808 0.0170 --C 1033.989498 0 0.0001 4950 | 17/39
72 h-m-p 0.0159 7.9348 0.0055 --Y 1033.989498 0 0.0002 5016 | 17/39
73 h-m-p 0.0001 0.0491 0.0145 +Y 1033.989498 0 0.0007 5081 | 17/39
74 h-m-p 0.0000 0.0011 0.5920 ++++ 1033.989496 m 0.0011 5147 | 18/39
75 h-m-p 0.0000 0.0017 41.3252 +C 1033.989492 0 0.0001 5212 | 18/39
76 h-m-p 0.0001 0.0020 33.2598 C 1033.989490 0 0.0000 5275 | 18/39
77 h-m-p 0.0204 1.3686 0.0482 ------C 1033.989490 0 0.0000 5344 | 18/39
78 h-m-p 0.0064 3.2182 0.0122 --C 1033.989490 0 0.0001 5409 | 18/39
79 h-m-p 0.0160 8.0000 0.0094 C 1033.989490 0 0.0202 5472 | 18/39
80 h-m-p 0.0004 0.1844 8.7334 +C 1033.989472 0 0.0019 5536 | 18/39
81 h-m-p 0.0001 0.0051 310.0335 +Y 1033.989416 0 0.0002 5600 | 18/39
82 h-m-p 0.0020 0.0415 24.8401 --Y 1033.989415 0 0.0000 5665 | 18/39
83 h-m-p 0.0374 6.7783 0.0135 --C 1033.989415 0 0.0007 5730 | 18/39
84 h-m-p 0.0160 8.0000 0.3226 Y 1033.989401 0 0.0391 5793 | 18/39
85 h-m-p 0.0004 0.0601 34.7086 -C 1033.989400 0 0.0000 5857 | 18/39
86 h-m-p 0.6653 8.0000 0.0011 --------Y 1033.989400 0 0.0000 5928 | 18/39
87 h-m-p 0.0160 8.0000 0.0007 ++Y 1033.989400 0 0.6280 5993 | 18/39
88 h-m-p 0.0002 0.0911 2.0468 -Y 1033.989400 0 0.0000 6057 | 18/39
89 h-m-p 0.0860 8.0000 0.0005 +Y 1033.989400 0 0.2520 6121 | 18/39
90 h-m-p 1.6000 8.0000 0.0000 Y 1033.989400 0 0.8067 6184 | 18/39
91 h-m-p 0.3952 8.0000 0.0001 Y 1033.989400 0 0.7394 6247 | 18/39
92 h-m-p 0.6967 8.0000 0.0001 C 1033.989400 0 1.0173 6310 | 18/39
93 h-m-p 1.6000 8.0000 0.0000 +Y 1033.989400 0 6.4000 6374 | 18/39
94 h-m-p 1.2261 8.0000 0.0001 ----Y 1033.989400 0 0.0012 6441
Out..
lnL = -1033.989400
6442 lfun, 70862 eigenQcodon, 2319120 P(t)
end of tree file.
Time used: 15:20
Model 8: beta&w>1
TREE # 1
(23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
0.080509 0.089369 0.037252 0.097677 0.058997 0.084349 0.047451 0.040914 0.010213 0.106959 0.104055 0.092260 0.037546 0.014438 0.069511 0.046342 0.031538 0.040655 0.012432 0.056188 0.088843 0.094587 0.038230 0.061542 0.046328 0.036829 0.090358 0.066297 0.060001 0.020067 0.039336 0.088491 0.033444 0.054449 0.051767 0.081299 9.769898 0.900000 0.854494 1.238022 1.300000
ntime & nrate & np: 36 2 41
Bounds (np=41):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 1.999746
np = 41
lnL0 = -1325.493653
Iterating by ming2
Initial: fx= 1325.493653
x= 0.08051 0.08937 0.03725 0.09768 0.05900 0.08435 0.04745 0.04091 0.01021 0.10696 0.10405 0.09226 0.03755 0.01444 0.06951 0.04634 0.03154 0.04065 0.01243 0.05619 0.08884 0.09459 0.03823 0.06154 0.04633 0.03683 0.09036 0.06630 0.06000 0.02007 0.03934 0.08849 0.03344 0.05445 0.05177 0.08130 9.76990 0.90000 0.85449 1.23802 1.30000
1 h-m-p 0.0000 0.0001 763.9991 ++ 1266.381619 m 0.0001 87 | 1/41
2 h-m-p 0.0000 0.0000 100109.6403 ++ 1244.190104 m 0.0000 172 | 2/41
3 h-m-p 0.0000 0.0000 5598.1050 +YYCCCCC 1227.185985 6 0.0000 268 | 2/41
4 h-m-p 0.0000 0.0000 78854.7210 ++ 1200.988139 m 0.0000 351 | 2/41
5 h-m-p 0.0000 0.0000 16497.5393 ++ 1196.216734 m 0.0000 434 | 3/41
6 h-m-p 0.0000 0.0000 4277.3861 ++ 1173.890937 m 0.0000 517 | 4/41
7 h-m-p 0.0000 0.0000 18921.3822 ++ 1169.579127 m 0.0000 599 | 5/41
8 h-m-p 0.0000 0.0000 56149.0657 ++ 1168.751598 m 0.0000 680 | 6/41
9 h-m-p 0.0000 0.0000 71223.0986 ++ 1149.205681 m 0.0000 760 | 7/41
10 h-m-p 0.0000 0.0000 85750.5602 ++ 1138.311668 m 0.0000 839 | 8/41
11 h-m-p 0.0000 0.0000 75120.2004 ++ 1131.077454 m 0.0000 917 | 9/41
12 h-m-p 0.0000 0.0000 17040.5018 ++ 1121.022615 m 0.0000 994 | 10/41
13 h-m-p 0.0000 0.0000 7647.4239 ++ 1111.433824 m 0.0000 1070 | 11/41
14 h-m-p 0.0000 0.0000 3106.0208 ++ 1090.516684 m 0.0000 1145 | 11/41
15 h-m-p 0.0000 0.0000 6144.1004 ++ 1077.724841 m 0.0000 1219 | 12/41
16 h-m-p 0.0000 0.0000 3024.0825 +YYYCYCCC 1073.352670 7 0.0000 1304 | 12/41
17 h-m-p 0.0000 0.0000 3453.7323 ++ 1068.905809 m 0.0000 1377 | 13/41
18 h-m-p 0.0000 0.0000 944.9568 ++ 1068.342662 m 0.0000 1450 | 14/41
19 h-m-p 0.0000 0.0000 1065.9055 +YYYCC 1066.609180 4 0.0000 1528 | 14/41
20 h-m-p 0.0000 0.0000 4018.3734 ++ 1065.908928 m 0.0000 1599 | 15/41
21 h-m-p 0.0000 0.0000 1907.4759 ++ 1065.341314 m 0.0000 1670 | 16/41
22 h-m-p 0.0000 0.0000 1260.4885 ++ 1063.471210 m 0.0000 1740 | 17/41
23 h-m-p 0.0000 0.0001 144.4892 +YCYCCC 1062.911556 5 0.0000 1818 | 17/41
24 h-m-p 0.0000 0.0002 372.7701 +YYYYC 1061.778386 4 0.0001 1891 | 17/41
25 h-m-p 0.0001 0.0003 255.5527 YCCCC 1060.121860 4 0.0001 1966 | 17/41
26 h-m-p 0.0006 0.0036 49.0861 +YYC 1058.008424 2 0.0018 2037 | 17/41
27 h-m-p 0.0063 0.0315 11.8476 ++ 1051.337936 m 0.0315 2105 | 18/41
28 h-m-p 0.0008 0.0040 57.4801 ++ 1048.938470 m 0.0040 2173 | 19/41
29 h-m-p 0.0004 0.0018 255.6253 YCYC 1047.053030 3 0.0010 2244 | 19/41
30 h-m-p 0.0120 0.0602 9.7378 CCCC 1046.405506 3 0.0144 2316 | 18/41
31 h-m-p 0.0006 0.0028 169.3733 YCC 1045.726980 2 0.0009 2385 | 18/41
32 h-m-p 0.0134 0.0670 1.7686 CYCCC 1045.071711 4 0.0275 2459 | 17/41
33 h-m-p 0.0029 0.0143 6.1768 CYCCC 1044.610055 4 0.0050 2533 | 17/41
34 h-m-p 0.0048 0.0273 6.5135 YCCC 1043.967835 3 0.0118 2606 | 17/41
35 h-m-p 0.0026 0.0132 7.3492 +CYC 1043.767459 2 0.0098 2678 | 17/41
36 h-m-p 0.0006 0.0030 8.0008 Y 1043.767423 0 0.0001 2746 | 17/41
37 h-m-p 0.0001 0.0709 9.2447 +++YCC 1043.712407 2 0.0070 2820 | 17/41
38 h-m-p 0.0018 0.0091 11.0338 +YC 1043.404937 1 0.0080 2890 | 17/41
39 h-m-p 0.0002 0.0009 25.8857 ++ 1043.370205 m 0.0009 2958 | 18/41
40 h-m-p 0.0009 0.0586 27.8356 +CC 1043.356485 1 0.0044 3029 | 18/41
41 h-m-p 0.0013 0.0163 93.5537 +YYCYYYYYYY 1042.944860 10 0.0108 3107 | 18/41
42 h-m-p 0.2057 1.0283 0.0569 +YCYCCC 1041.234236 5 0.6006 3183 | 18/41
43 h-m-p 0.0515 1.1483 0.6632 ++YCYC 1038.748716 3 0.5211 3256 | 18/41
44 h-m-p 0.3022 1.5111 0.3393 YCYCCC 1038.091969 5 0.7665 3331 | 18/41
45 h-m-p 1.0658 5.3291 0.0321 CCCC 1037.495471 3 1.4500 3404 | 18/41
46 h-m-p 0.3552 7.7595 0.1309 +CCCCC 1037.079136 4 2.6030 3480 | 18/41
47 h-m-p 1.6000 8.0000 0.1096 YCCC 1036.951856 3 1.0595 3552 | 18/41
48 h-m-p 1.0385 5.1927 0.1110 CCC 1036.876979 2 1.1993 3623 | 18/41
49 h-m-p 1.6000 8.0000 0.0577 C 1036.853445 0 1.5800 3690 | 18/41
50 h-m-p 1.6000 8.0000 0.0492 YYCYCCC 1036.823284 6 2.9822 3767 | 18/41
51 h-m-p 0.4605 2.3025 0.1066 YYYCCYCYC 1036.808147 8 0.6500 3845 | 18/41
52 h-m-p 1.5266 8.0000 0.0454 CC 1036.801582 1 0.5855 3914 | 18/41
53 h-m-p 1.1048 8.0000 0.0241 --------------C 1036.801582 0 0.0000 3995 | 18/41
54 h-m-p 0.0021 1.0662 1.1550 ++CYC 1036.796020 2 0.0370 4067 | 18/41
55 h-m-p 1.6000 8.0000 0.0171 +YC 1036.753497 1 5.1585 4136 | 18/41
56 h-m-p 1.6000 8.0000 0.0405 YCC 1036.693671 2 3.0475 4206 | 18/41
57 h-m-p 1.6000 8.0000 0.0264 CYC 1036.658577 2 1.7988 4276 | 18/41
58 h-m-p 1.6000 8.0000 0.0178 YC 1036.613594 1 3.0073 4344 | 18/41
59 h-m-p 1.1184 8.0000 0.0480 YC 1036.554417 1 2.5091 4412 | 18/41
60 h-m-p 1.6000 8.0000 0.0382 CCC 1036.524057 2 1.9415 4483 | 18/41
61 h-m-p 1.6000 8.0000 0.0133 CC 1036.511321 1 2.3300 4552 | 18/41
62 h-m-p 0.8442 8.0000 0.0368 +CC 1036.492000 1 3.8099 4622 | 18/41
63 h-m-p 1.6000 8.0000 0.0641 YC 1036.461108 1 3.6102 4690 | 18/41
64 h-m-p 1.6000 8.0000 0.0834 YC 1036.421311 1 3.6526 4758 | 18/41
65 h-m-p 1.6000 8.0000 0.0907 YCYCYCC 1036.349215 6 3.2170 4835 | 18/41
66 h-m-p 1.2394 6.7035 0.2354 CCC 1036.252601 2 1.2660 4906 | 18/41
67 h-m-p 0.8269 8.0000 0.3604 +YC 1036.089675 1 2.2394 4975 | 18/41
68 h-m-p 1.6000 8.0000 0.1543 CCC 1036.025893 2 1.8785 5046 | 18/41
69 h-m-p 1.6000 8.0000 0.0705 +YC 1035.845618 1 6.9895 5115 | 18/41
70 h-m-p 1.6000 8.0000 0.2890 +YCCC 1035.478429 3 3.9929 5188 | 18/41
71 h-m-p 1.6000 8.0000 0.4021 CCCC 1035.318912 3 1.9355 5261 | 18/41
72 h-m-p 1.6000 8.0000 0.1751 YCC 1035.243998 2 2.5730 5331 | 18/41
73 h-m-p 1.6000 8.0000 0.0453 CCC 1035.170200 2 2.3659 5402 | 18/41
74 h-m-p 1.6000 8.0000 0.0338 CC 1035.123411 1 2.0936 5471 | 18/41
75 h-m-p 0.9879 8.0000 0.0716 YC 1035.084278 1 2.4308 5539 | 18/41
76 h-m-p 1.6000 8.0000 0.0423 +YC 1035.045485 1 4.5874 5608 | 18/41
77 h-m-p 1.6000 8.0000 0.0864 YCCC 1034.941852 3 3.9869 5680 | 18/41
78 h-m-p 0.6576 8.0000 0.5236 +YYC 1034.855025 2 2.2550 5750 | 18/41
79 h-m-p 1.6000 8.0000 0.1598 YC 1034.802874 1 2.5834 5818 | 18/41
80 h-m-p 1.6000 8.0000 0.0899 +CCC 1034.642736 2 5.5608 5890 | 18/41
81 h-m-p 1.6000 8.0000 0.2829 YCCC 1034.386025 3 3.1938 5962 | 18/41
82 h-m-p 1.6000 8.0000 0.3066
QuantileBeta(0.15, 0.00500, 3.17964) = 7.640298e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.58726) = 6.641455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.90740) = 8.492254e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.88771) = 8.561235e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.42225) = 1.059244e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87341) = 8.612047e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.64783) = 9.500925e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
C 1033.966387 3 5.1944 6035
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.916039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87264) = 8.614787e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87237) = 8.615779e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.87251) = 8.615283e-161 2000 rounds
| 18/41
83 h-m-p 1.0364 5.1821 0.5459
QuantileBeta(0.15, 0.00500, 3.36855) = 7.142629e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.85669) = 4.717376e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.57769) = 6.661916e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 4.21719) = 5.523974e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.69232) = 6.424811e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.95476) = 5.940546e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.70796) = 6.393761e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.83136) = 6.158856e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
C 1033.726046 3 1.7516 6108
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.611030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71102) = 6.387714e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71070) = 6.388337e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.71086) = 6.388026e-161 2000 rounds
| 18/41
84 h-m-p 1.6000 8.0000 0.0612
QuantileBeta(0.15, 0.00500, 3.79549) = 6.225342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.04937) = 5.783335e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77362) = 6.266579e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.77544) = 6.263142e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.78546) = 6.244185e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
C 1033.712492 2 1.2234 6178
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.481524e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77573) = 6.262586e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77541) = 6.263191e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77557) = 6.262888e-161 2000 rounds
| 18/41
85 h-m-p 1.0441 8.0000 0.0718
QuantileBeta(0.15, 0.00500, 3.83770) = 6.147243e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.02410) = 5.824511e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85011) = 6.124652e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 3.93710) = 5.970824e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
C 1033.710307 1 1.2674 6247
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.336814e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85115) = 6.122768e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85083) = 6.123352e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.85099) = 6.123060e-161 2000 rounds
| 18/41
86 h-m-p 1.6000 8.0000 0.0375
QuantileBeta(0.15, 0.00500, 3.86722) = 6.093773e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91592) = 6.007563e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86188) = 6.103388e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
C 1033.709822 1 1.0653 6315
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.316602e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86196) = 6.103239e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86164) = 6.103820e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.86180) = 6.103530e-161 2000 rounds
| 18/41
87 h-m-p 1.6000 8.0000 0.0134
QuantileBeta(0.15, 0.00500, 3.88097) = 6.069189e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.93849) = 5.968439e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
C 1033.709697 0 1.6985 6382
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.278888e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88231) = 6.066800e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88199) = 6.067376e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.88215) = 6.067088e-161 2000 rounds
| 18/41
88 h-m-p 1.6000 8.0000 0.0073
QuantileBeta(0.15, 0.00500, 3.89368) = 6.046635e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.92827) = 5.986093e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90785) = 6.021685e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
C 1033.709616 1 3.5654 6450
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.231915e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90800) = 6.021415e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90768) = 6.021984e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.90784) = 6.021700e-161 2000 rounds
| 18/41
89 h-m-p 1.6000 8.0000 0.0089
QuantileBeta(0.15, 0.00500, 3.91707) = 6.005561e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.94476) = 5.957657e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
C 1033.709580 0 2.0222 6517
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.210821e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91967) = 6.001033e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91934) = 6.001600e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91951) = 6.001317e-161 2000 rounds
| 18/41
90 h-m-p 1.6000 8.0000 0.0010
QuantileBeta(0.15, 0.00500, 3.91784) = 6.004212e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91286) = 6.012916e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
+ 1033.709541 m 8.0000 6584
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.225833e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91136) = 6.015539e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91103) = 6.016107e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.91120) = 6.015823e-161 2000 rounds
| 18/41
91 h-m-p 0.8292 8.0000 0.0101
QuantileBeta(0.15, 0.00500, 3.90288) = 6.030410e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.87794) = 6.074597e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
+ 1033.709085 m 8.0000 6651
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.374590e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83113) = 6.159267e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83081) = 6.159857e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.83097) = 6.159562e-161 2000 rounds
| 18/41
92 h-m-p 0.1463 7.0067 0.5497
QuantileBeta(0.15, 0.00500, 3.75109) = 6.309659e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.51143) = 6.807103e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 2.55279) = 9.932394e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.03159) = 8.081300e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.80485) = 8.864217e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
C 1033.705867 2 1.8796 6722
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 9.174484e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80478) = 8.864491e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80450) = 8.865528e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80464) = 8.865010e-161 2000 rounds
| 18/41
93 h-m-p 1.6000 8.0000 0.3441
QuantileBeta(0.15, 0.00500, 2.26831) = 1.149180e-160 2000 rounds
+YYYC 1033.698347 3 5.7279 6793 | 18/41
94 h-m-p 1.3077 6.5383 0.1363 YY 1033.698084 1 1.1215 6861 | 18/41
95 h-m-p 1.6000 8.0000 0.0212 Y 1033.698071 0 1.1695 6928 | 18/41
96 h-m-p 1.6000 8.0000 0.0082 Y 1033.698071 0 1.1637 6995 | 18/41
97 h-m-p 1.6000 8.0000 0.0020 C 1033.698071 0 1.4320 7062 | 18/41
98 h-m-p 1.6000 8.0000 0.0008 C 1033.698071 0 0.5090 7129 | 18/41
99 h-m-p 0.7669 8.0000 0.0005 Y 1033.698071 0 0.4757 7196 | 18/41
100 h-m-p 0.3717 8.0000 0.0006 Y 1033.698071 0 0.6397 7263 | 18/41
101 h-m-p 0.8915 8.0000 0.0005 C 1033.698071 0 1.1580 7330 | 18/41
102 h-m-p 0.9854 8.0000 0.0005 Y 1033.698071 0 2.1504 7397 | 18/41
103 h-m-p 1.6000 8.0000 0.0004 ++ 1033.698071 m 8.0000 7464 | 18/41
104 h-m-p 1.6000 8.0000 0.0003 ++ 1033.698070 m 8.0000 7531 | 18/41
105 h-m-p 0.2072 8.0000 0.0103 ++Y 1033.698065 0 2.4080 7600 | 18/41
106 h-m-p 0.7989 8.0000 0.0309 ++ 1033.698043 m 8.0000 7667 | 18/41
107 h-m-p 1.5283 8.0000 0.1619 +
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
+ 1033.698022 m 8.0000 7734
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.162412e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31040) = 1.123126e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31015) = 1.123276e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.31027) = 1.123201e-160 2000 rounds
| 18/41
108 h-m-p 1.6000 8.0000 0.1476
QuantileBeta(0.15, 0.00500, 2.54640) = 9.962793e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.25478) = 7.434327e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
C 1033.698020 0 1.5330 7801
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.035966e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53664) = 1.000958e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53638) = 1.001084e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.53651) = 1.001021e-160 2000 rounds
| 18/41
109 h-m-p 1.4118 8.0000 0.1603
QuantileBeta(0.15, 0.00500, 2.76279) = 9.026315e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.44163) = 6.967006e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
+ 1033.698016 m 8.0000 7868
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.397852e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81892) = 6.181743e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81860) = 6.182336e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.81876) = 6.182039e-161 2000 rounds
| 18/41
110 h-m-p 1.6000 8.0000 0.6339
QuantileBeta(0.15, 0.00500, 4.83298) = 4.743063e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.87565) = 2.791076e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
Y 1033.698014 0 2.7880 7935
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.184711e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58624) = 4.043396e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58584) = 4.043709e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.58604) = 4.043552e-161 2000 rounds
| 18/41
111 h-m-p 1.6000 8.0000 0.6350
QuantileBeta(0.15, 0.00500, 6.60210) = 3.372175e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 9.65027) = 2.250517e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
Y 1033.698013 0 2.8307 8002
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 3.094533e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38390) = 2.990047e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38344) = 2.990249e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.38367) = 2.990148e-161 2000 rounds
| 18/41
112 h-m-p 1.6000 8.0000 0.9801
QuantileBeta(0.15, 0.00500, 8.95178) = 2.436246e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 13.65613) = 1.565797e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.22425) = 1.399137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
Y 1033.698012 0 4.0174 8070
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.969838e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32131) = 1.903338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32071) = 1.903444e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.32101) = 1.903391e-161 2000 rounds
| 18/41
113 h-m-p 1.6000 8.0000 1.3280
QuantileBeta(0.15, 0.00500, 13.44587) = 1.591211e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 19.82042) = 1.066422e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
C 1033.698012 0 2.2471 8137
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.544320e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30553) = 1.492190e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30483) = 1.492265e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.30518) = 1.492227e-161 2000 rounds
| 18/41
114 h-m-p 1.4078 8.0000 2.1198
QuantileBeta(0.15, 0.00500, 17.28935) = 1.227122e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 26.24186) = 8.004629e-162 2000 rounds
+
QuantileBeta(0.15, 0.00500, 31.26339) = 6.698259e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
Y 1033.698011 0 6.8145 8205
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.548611e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75096) = 7.293840e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.74987) = 7.294120e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 28.75042) = 7.293980e-162 2000 rounds
| 18/41
115 h-m-p 1.6000 8.0000 3.7939
QuantileBeta(0.15, 0.00500, 34.82066) = 4.837188e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 53.03141) = 1.891159e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
C 1033.698011 0 1.6704 8272
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.963955e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08853) = 4.799733e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08729) = 4.799904e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 35.08791) = 4.799818e-162 2000 rounds
| 18/41
116 h-m-p 1.3221 8.0000 4.7936
QuantileBeta(0.15, 0.00500, 41.42541) = 4.056629e-162 2000 rounds
QuantileBeta(0.15, 0.00500, 60.43789) = 8.789423e-165 2000 rounds
++ 1033.698010 m 8.0000 8339 | 18/41
117 h-m-p 0.2686 1.3431 19.0335 ++ 1033.698010 m 1.3431 8406 | 19/41
118 h-m-p 1.6000 8.0000 0.0001 -Y 1033.698010 0 0.1000 8474 | 19/41
119 h-m-p 0.1395 8.0000 0.0001 --------Y 1033.698010 0 0.0000 8548
Out..
lnL = -1033.698010
8549 lfun, 102588 eigenQcodon, 3385404 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -1042.710223 S = -1012.574134 -53.632592
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 63 patterns 31:56
did 20 / 63 patterns 31:57
did 30 / 63 patterns 31:57
did 40 / 63 patterns 31:57
did 50 / 63 patterns 31:57
did 60 / 63 patterns 31:57
did 63 / 63 patterns 31:57end of tree file.
Time used: 31:58
The loglikelihoods for models M1, M2, M7 and M8 are -1033.976870 -1033.698020 -1033.989400 -1033.698010 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPSHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTFESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFAL
**********:**************.**********************************
NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 FKPLTARGRVVCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 FKPLTARGRVSCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 FKPLTARYRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 FKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 FKPLTARGRVVCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNF
******* ** *************************************************
NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVLGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYIVLGGETITFVSFDDLYVAIRG
NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 SFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRG
************* ************************:*********************
NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 SCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
*********************************************
>NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAACCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCTTTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTTAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCATCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTTAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATATCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTTGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTTTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCTTTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTACTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGTTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTTGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATTACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTACTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTTCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTCACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGATATCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 ATGCCTTTTGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTTAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT >NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTTAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGCTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGACTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCTTCTCAACTATACGAAGATGTTCCTTCGATTAAT >N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 ATGCCTTTCGGTGGCCTATTTCAACTTACTCTTGAAAGTACTATTAATAAGAGTGTGGCTAATCTCAAATTACCACCTCATGATGTTACTGTCTTGCGTGACAATCTCAAACCTGTTACTACACTTAGTACTATCACTGCTTATTTGTTAGTTAGTTTGTTTGTCACTTATTTTGCTTTATTCAAACCTCTTACTGCTAGAGGTCGTGTTGTTTGTTTTGTTTTAAAACTATTGACACTATTTGTCTATGTGCCTTTATTGGTTCTTTTTGGTATGTATCTTGACAGTTTTATAATT---TTTTCTACGCTGTTGTTTCGATTCATACATGTTGGCTATTATGCCTATCTCTATAAAAATTTTTCATTTGTTTTGTTCAATGTTACTAAACTATGCTTCGTTTCAGGCAAGTGTTGGTATCTTGAACAATCATTTTATGAAAATCGTTTTGCTGCTATTTATGGTGGTGACCACTATGTCGTTTTAGGTGGTGAAACTATTACTTTTGTTTCTTTTGATGACCTTTATGTTGCTATTAGAGGTTCTTGTGAAAAGAACCTACAACTTATGCGTAAGGTTGATTTGTATAATGGTGCTGTCATTTACATTTTTGCCGAAGAGCCTGTTGTTGGTATAGTCTACTCCTCTCAACTATACGAAGATGTTCCTTCGATTAAT
>NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVLGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPSHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYIVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTFESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVVCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVSCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARYRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVACFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN >N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63 MPFGGLFQLTLESTINKSVANLKLPPHDVTVLRDNLKPVTTLSTITAYLLVSLFVTYFALFKPLTARGRVVCFVLKLLTLFVYVPLLVLFGMYLDSFIIFSTLLFRFIHVGYYAYLYKNFSFVLFNVTKLCFVSGKCWYLEQSFYENRFAAIYGGDHYVVLGGETITFVSFDDLYVAIRGSCEKNLQLMRKVDLYNGAVIYIFAEEPVVGIVYSSQLYEDVPSIN
Reading sequence file /data//pss_subsets/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml/fasta/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Found 30 sequences of length 678
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.4%
Found 9 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 1
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 12 polymorphic sites
**p-Value(s)**
----------
NSS: 1.00e-02 (1000 permutations)
Max Chi^2: 9.63e-01 (1000 permutations)
PHI (Permutation): 3.89e-01 (1000 permutations)
PHI (Normal): 1.81e-01
#NEXUS
[ID: 3246306871]
begin taxa;
dimensions ntax=30;
taxlabels
Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63
ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63
HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63
Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63
N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63
N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63
N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63
N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63
CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63
NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63
NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63
NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63
NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63
NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63
NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63
ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63
CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63
ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63
ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63
;
end;
begin trees;
translate
1 Amsterdam_057_NA_ABE97138_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
2 ChinaGD05_NS3_QED88027_1_2018_08_14_China_Human_Human_coronavirus_NL63,
3 ChinaGD04_NS3_QED88041_1_2018_07_25_China_Human_Human_coronavirus_NL63,
4 HCoV_NL63_Haiti_1_2015_ORF3_AKT07953_1_2015_01_16_Haiti_Human_Human_coronavirus_NL63,
5 HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07595_1_2015_USA_Human_Human_coronavirus_NL63,
6 Kilifi_HH_0512_04_Jun_2010_NA_AWK59944_1_2010_06_04_Kenya_Human_Human_coronavirus_NL63,
7 Kilifi_HH_3807_11_May_2010_NA_AWK59950_1_2010_05_11_Kenya_Human_Human_coronavirus_NL63,
8 Kilifi_HH_0522_21_May_2010_NA_AWK59968_1_2010_05_21_Kenya_Human_Human_coronavirus_NL63,
9 Kilifi_HH_5402_20_May_2010_NA_AWK59962_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63,
10 Kilifi_HH_5709_19_May_2010_NA_AWK59932_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63,
11 N07_185B_NA_ARE29970_1_2016_USA_Human_Human_coronavirus_NL63,
12 N07_196B_NA_ARE29976_1_2016_USA_Human_Human_coronavirus_NL63,
13 N07_262B_NA_ARK08628_1_2015_USA_Human_Human_coronavirus_NL63,
14 N07_324B_182X_NA_ARE29982_1_2016_USA_Human_Human_coronavirus_NL63,
15 NL63_DEN_2005_271_NS3_AFD98807_1_2005_01_23_USA_Human_Human_coronavirus_NL63,
16 NL63_DEN_2009_15_NS3_AFD98765_1_2009_02_13_USA_Human_Human_coronavirus_NL63,
17 CBJ_037_ORF3_AFO70498_1_2008_11_04_China_Human_Human_coronavirus_NL63,
18 NL63_DEN_2009_20_NS3_AFD98779_1_2009_03_12_USA_Human_Human_coronavirus_NL63,
19 NL63_RPTEC_2004_NA_AFV53149_1_2004_USA_Human_Human_coronavirus_NL63,
20 NL63_UF_2_2015_ORF3_APF29072_1_2015_09_USA_Human_Human_coronavirus_NL63,
21 NL63_human_USA_838_9_1983_NS3_AGT51367_1_1983_08_16_USA_Human_Human_coronavirus_NL63,
22 NL63_human_USA_8712_17_1987_NS3_AGT51339_1_1987_12_16_USA_Human_Human_coronavirus_NL63,
23 NL63_human_USA_891_6_1989_NS3_AGT51353_1_1989_01_05_USA_Human_Human_coronavirus_NL63,
24 NL63_human_USA_903_28_1990_NS3_AGT51360_1_1990_03_21_USA_Human_Human_coronavirus_NL63,
25 NL63_human_USA_905_25_1990_NS3_AGT51388_1_1990_05_29_USA_Human_Human_coronavirus_NL63,
26 NL63_human_USA_911_56_1991_NS3_AGT51346_1_1991_01_24_USA_Human_Human_coronavirus_NL63,
27 ChinaGD01_NS3_QED88034_1_2018_09_01_China_Human_Human_coronavirus_NL63,
28 CN0601_14_NA_AVA26874_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63,
29 ChinaGD03_NS3_QED88020_1_2018_07_13_China_Human_Human_coronavirus_NL63,
30 ChinaGD02_NS3_QED88013_1_2018_08_15_China_Human_Human_coronavirus_NL63
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.150239e-03,2:1.291553e-03,4:5.712043e-04,6:3.232525e-04,7:3.304417e-04,8:3.036838e-04,9:3.226088e-04,10:3.256830e-04,15:3.677519e-04,17:3.221408e-04,19:1.313264e-03,21:3.211248e-04,22:3.552202e-04,23:3.073970e-04,24:7.375203e-04,25:7.671727e-04,26:7.899226e-04,29:3.054183e-04,30:7.717612e-04,(12:3.313356e-04,13:3.321522e-04)0.998:1.357837e-03,(3:4.554180e-04,27:8.720030e-04)0.760:8.790495e-04,(5:7.724033e-04,((11:3.280359e-04,14:3.367763e-04)0.970:8.727813e-04,(18:3.421642e-04,20:3.133099e-04)0.996:8.838924e-04)0.754:7.293760e-04,16:3.376225e-04,28:1.260859e-03)0.514:7.474461e-04);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.150239e-03,2:1.291553e-03,4:5.712043e-04,6:3.232525e-04,7:3.304417e-04,8:3.036838e-04,9:3.226088e-04,10:3.256830e-04,15:3.677519e-04,17:3.221408e-04,19:1.313264e-03,21:3.211248e-04,22:3.552202e-04,23:3.073970e-04,24:7.375203e-04,25:7.671727e-04,26:7.899226e-04,29:3.054183e-04,30:7.717612e-04,(12:3.313356e-04,13:3.321522e-04):1.357837e-03,(3:4.554180e-04,27:8.720030e-04):8.790495e-04,(5:7.724033e-04,((11:3.280359e-04,14:3.367763e-04):8.727813e-04,(18:3.421642e-04,20:3.133099e-04):8.838924e-04):7.293760e-04,16:3.376225e-04,28:1.260859e-03):7.474461e-04);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1063.44 -1092.47
2 -1066.14 -1092.09
--------------------------------------
TOTAL -1064.07 -1092.30
--------------------------------------
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} 0.039507 0.000106 0.020128 0.058597 0.038153 734.47 1117.73 1.000
r(A<->C){all} 0.044523 0.001851 0.000009 0.128537 0.032093 104.97 144.47 1.000
r(A<->G){all} 0.134127 0.004582 0.015229 0.259500 0.124370 182.54 224.61 1.000
r(A<->T){all} 0.051103 0.001357 0.001756 0.125681 0.042489 197.62 276.79 1.000
r(C<->G){all} 0.056361 0.002931 0.000022 0.169161 0.038053 133.48 169.12 1.002
r(C<->T){all} 0.628058 0.009331 0.443979 0.815674 0.628751 113.95 147.16 1.001
r(G<->T){all} 0.085827 0.002655 0.003387 0.186040 0.076495 169.29 223.29 1.001
pi(A){all} 0.229118 0.000248 0.199014 0.260011 0.228598 891.74 911.00 1.000
pi(C){all} 0.164482 0.000190 0.138925 0.193458 0.164366 690.74 796.71 1.000
pi(G){all} 0.170430 0.000210 0.143493 0.199813 0.170284 811.31 848.06 1.001
pi(T){all} 0.435970 0.000343 0.400952 0.472872 0.436028 744.23 757.51 1.001
alpha{1,2} 1.157004 1.032890 0.000036 3.122554 0.867713 782.46 807.52 1.000
alpha{3} 0.652398 0.591226 0.000174 2.144866 0.380692 646.79 753.34 1.000
pinvar{all} 0.713134 0.029204 0.347904 0.938372 0.757427 266.45 284.65 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/NL63_human_USA_012_31_2001_NS3_AGT51332_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 225
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 16 16 16 17 17 | Ser TCT 5 5 5 5 5 5 | Tyr TAT 14 14 14 14 14 14 | Cys TGT 3 3 3 3 3 3
TTC 5 5 5 5 4 4 | TCC 0 0 1 0 1 0 | TAC 3 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 6 6 6 7 6 6 | TCA 3 3 2 2 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 8 8 8 8 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 9 10 9 11 | Pro CCT 7 7 7 7 6 7 | His CAT 2 2 2 2 2 2 | Arg CGT 4 4 4 4 4 4
CTC 2 2 3 2 3 1 | CCC 0 0 0 0 0 0 | CAC 1 1 1 1 1 1 | CGC 0 0 0 0 0 0
CTA 6 6 6 6 6 6 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 8 8 8 8 8 | Thr ACT 11 11 11 11 11 11 | Asn AAT 7 8 8 8 8 8 | Ser AGT 5 5 5 5 5 5
ATC 1 1 1 1 1 1 | ACC 0 0 0 0 0 0 | AAC 2 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 3 3 3 3 3 3 | ACA 2 2 2 2 2 2 | Lys AAA 6 6 6 6 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 3 3 3 3 3 3 | ACG 1 1 1 1 1 1 | AAG 4 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 17 17 17 17 17 17 | Ala GCT 9 9 9 9 9 9 | Asp GAT 3 3 4 3 3 3 | Gly GGT 10 10 10 10 10 10
GTC 6 6 6 6 6 6 | GCC 2 2 2 2 2 2 | GAC 5 5 4 5 5 5 | GGC 3 3 3 3 3 3
GTA 0 0 0 0 0 0 | GCA 0 0 0 0 0 0 | Glu GAA 7 7 7 7 7 7 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 16 16 17 16 18 | Ser TCT 4 4 4 5 5 5 | Tyr TAT 14 14 14 14 14 14 | Cys TGT 3 3 3 3 3 3
TTC 5 5 5 4 5 3 | TCC 1 1 1 0 0 0 | TAC 3 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 6 6 6 6 6 6 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 8 8 8 8 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 9 9 10 10 10 | Pro CCT 7 7 7 7 7 7 | His CAT 2 2 2 2 2 2 | Arg CGT 4 4 4 4 4 4
CTC 2 3 3 2 2 2 | CCC 0 0 0 0 0 0 | CAC 1 1 1 1 1 1 | CGC 0 0 0 0 0 0
CTA 6 6 6 6 6 6 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 8 8 8 8 8 | Thr ACT 11 11 11 11 11 11 | Asn AAT 8 8 8 8 8 8 | Ser AGT 5 5 5 5 5 5
ATC 1 1 2 1 1 1 | ACC 0 0 0 0 0 0 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 3 3 3 3 3 3 | ACA 2 2 2 2 2 2 | Lys AAA 6 6 6 6 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 3 3 3 3 3 3 | ACG 1 1 1 1 1 1 | AAG 4 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 17 17 17 17 17 17 | Ala GCT 9 9 9 9 9 9 | Asp GAT 3 3 3 3 3 4 | Gly GGT 10 10 10 10 10 10
GTC 6 6 5 6 6 6 | GCC 2 2 2 2 2 2 | GAC 5 5 5 5 5 4 | GGC 3 3 3 3 3 3
GTA 0 0 0 0 0 0 | GCA 0 0 0 0 0 0 | Glu GAA 7 7 7 7 7 7 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 17 16 16 16 16 | Ser TCT 5 5 5 5 5 4 | Tyr TAT 14 14 14 14 13 14 | Cys TGT 3 3 3 3 3 3
TTC 5 5 5 5 5 5 | TCC 0 0 0 1 0 1 | TAC 3 3 3 3 4 3 | TGC 1 1 1 1 1 1
Leu TTA 6 6 6 6 6 6 | TCA 3 3 3 2 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 8 8 8 8 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 9 10 9 10 9 | Pro CCT 7 7 7 7 7 7 | His CAT 2 2 2 2 2 2 | Arg CGT 4 4 4 4 4 4
CTC 2 2 2 3 2 3 | CCC 0 0 0 0 0 0 | CAC 1 1 1 1 1 1 | CGC 0 0 0 0 0 0
CTA 6 6 6 6 6 6 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 8 8 8 8 8 | Thr ACT 11 11 11 11 11 11 | Asn AAT 8 8 8 8 8 8 | Ser AGT 5 5 5 5 5 5
ATC 1 1 1 1 1 1 | ACC 0 0 0 0 0 0 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 3 3 3 3 3 3 | ACA 2 2 2 2 2 2 | Lys AAA 6 6 6 6 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 3 3 3 3 3 3 | ACG 1 1 1 1 1 1 | AAG 4 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 17 17 17 17 17 18 | Ala GCT 9 9 9 9 9 8 | Asp GAT 3 3 3 4 3 4 | Gly GGT 10 10 10 10 10 10
GTC 6 6 6 6 6 6 | GCC 2 2 2 2 2 2 | GAC 5 5 5 4 5 4 | GGC 3 3 3 3 3 3
GTA 0 0 0 0 0 0 | GCA 0 0 0 0 0 0 | Glu GAA 7 7 7 7 7 7 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 18 16 17 16 16 16 | Ser TCT 5 5 5 6 5 5 | Tyr TAT 14 14 13 14 14 14 | Cys TGT 3 3 3 3 3 3
TTC 3 5 4 5 5 5 | TCC 0 0 0 0 0 0 | TAC 3 3 4 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 6 6 6 6 6 6 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 8 8 8 8 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 10 10 8 10 | Pro CCT 7 7 7 7 7 7 | His CAT 2 2 2 2 2 2 | Arg CGT 4 4 4 4 4 4
CTC 2 2 2 2 4 2 | CCC 0 0 0 0 0 0 | CAC 1 1 1 1 1 1 | CGC 0 0 0 0 0 0
CTA 6 6 6 6 6 6 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 8 9 8 8 8 | Thr ACT 11 11 11 11 11 11 | Asn AAT 8 8 8 8 8 8 | Ser AGT 5 5 5 5 5 5
ATC 1 1 0 1 1 1 | ACC 0 0 0 0 0 0 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 3 3 3 3 3 3 | ACA 2 2 2 2 2 2 | Lys AAA 6 6 6 6 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 3 3 3 3 3 3 | ACG 1 1 1 1 1 1 | AAG 4 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 17 17 17 17 17 17 | Ala GCT 9 9 9 8 9 9 | Asp GAT 4 3 3 3 3 3 | Gly GGT 10 10 10 10 10 10
GTC 6 6 6 6 6 6 | GCC 2 2 2 2 2 2 | GAC 4 5 5 5 5 5 | GGC 3 3 3 3 3 3
GTA 0 0 0 0 0 0 | GCA 0 0 0 0 0 0 | Glu GAA 7 7 7 7 7 7 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 16 17 16 16 16 | Ser TCT 5 4 4 5 5 4 | Tyr TAT 14 15 14 14 14 14 | Cys TGT 3 3 3 3 3 3
TTC 5 5 4 5 5 5 | TCC 0 1 1 0 0 1 | TAC 3 3 3 3 3 3 | TGC 1 1 1 1 1 1
Leu TTA 6 6 6 6 6 6 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 8 8 8 8 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 11 10 10 9 | Pro CCT 7 7 7 7 7 7 | His CAT 2 2 2 2 2 2 | Arg CGT 4 4 4 4 4 4
CTC 2 2 1 2 2 3 | CCC 0 0 0 0 0 0 | CAC 1 1 1 1 1 1 | CGC 0 0 0 0 0 0
CTA 6 6 6 6 6 6 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 0 0 0 0 0 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 8 8 8 8 8 | Thr ACT 11 11 11 11 11 11 | Asn AAT 8 8 8 8 8 8 | Ser AGT 5 5 5 5 5 5
ATC 1 1 1 1 1 1 | ACC 0 0 0 0 0 0 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 3 3 3 3 3 3 | ACA 2 2 2 2 2 2 | Lys AAA 6 6 6 6 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 3 3 3 3 3 3 | ACG 1 1 1 1 1 1 | AAG 4 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 17 17 17 17 17 18 | Ala GCT 9 9 9 9 9 8 | Asp GAT 3 3 3 3 3 4 | Gly GGT 10 9 10 10 10 10
GTC 6 6 6 6 6 6 | GCC 2 2 2 2 2 2 | GAC 5 5 5 5 5 4 | GGC 3 3 3 3 3 3
GTA 0 0 0 0 0 0 | GCA 0 0 0 0 0 0 | Glu GAA 7 7 7 7 7 7 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C52
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43111 C:0.16593 A:0.22963 G:0.17333
#2: C4
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#3: C44
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13778 A:0.17778 G:0.09778
Average T:0.43259 C:0.16593 A:0.22815 G:0.17333
#4: C9
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.42222 C:0.18222 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43407 C:0.16296 A:0.22963 G:0.17333
#5: C7
position 1: T:0.29778 C:0.16889 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#6: C11
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.59556 C:0.12444 A:0.18222 G:0.09778
Average T:0.43556 C:0.16148 A:0.22963 G:0.17333
#7: C48
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43111 C:0.16593 A:0.22963 G:0.17333
#8: C39
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.57778 C:0.14222 A:0.18222 G:0.09778
Average T:0.42963 C:0.16741 A:0.22963 G:0.17333
#9: C13
position 1: T:0.29333 C:0.17333 A:0.24889 G:0.28444
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.57778 C:0.14222 A:0.18222 G:0.09778
Average T:0.42963 C:0.16741 A:0.23111 G:0.17185
#10: C35
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.59111 C:0.12889 A:0.18222 G:0.09778
Average T:0.43407 C:0.16296 A:0.22963 G:0.17333
#11: C17
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#12: C24
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.60000 C:0.12000 A:0.18222 G:0.09778
Average T:0.43704 C:0.16000 A:0.22963 G:0.17333
#13: C16
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#14: C54
position 1: T:0.29778 C:0.16889 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43407 C:0.16296 A:0.22963 G:0.17333
#15: C15
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#16: C40
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13778 A:0.17778 G:0.09778
Average T:0.43259 C:0.16593 A:0.22815 G:0.17333
#17: C12
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43111 C:0.16593 A:0.22963 G:0.17333
#18: C25
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.42222 C:0.18222 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#19: C23
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.60000 C:0.12000 A:0.18222 G:0.09778
Average T:0.43704 C:0.16000 A:0.22963 G:0.17333
#20: C47
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#21: C41
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.59111 C:0.12889 A:0.18222 G:0.09778
Average T:0.43407 C:0.16296 A:0.22963 G:0.17333
#22: C55
position 1: T:0.29778 C:0.17333 A:0.24444 G:0.28444
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43407 C:0.16444 A:0.22963 G:0.17185
#23: C1
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.57778 C:0.14222 A:0.18222 G:0.09778
Average T:0.42963 C:0.16741 A:0.22963 G:0.17333
#24: C19
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#25: C20
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#26: C10
position 1: T:0.29778 C:0.17333 A:0.24444 G:0.28444
position 2: T:0.41778 C:0.18667 A:0.26667 G:0.12889
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43259 C:0.16593 A:0.23111 G:0.17037
#27: C6
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.59111 C:0.12889 A:0.18222 G:0.09778
Average T:0.43407 C:0.16296 A:0.22963 G:0.17333
#28: C49
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#29: C8
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.41778 C:0.18667 A:0.26222 G:0.13333
position 3: T:0.58667 C:0.13333 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
#30: C22
position 1: T:0.29333 C:0.17333 A:0.24444 G:0.28889
position 2: T:0.42222 C:0.18222 A:0.26222 G:0.13333
position 3: T:0.58222 C:0.13778 A:0.18222 G:0.09778
Average T:0.43259 C:0.16444 A:0.22963 G:0.17333
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 490 | Ser S TCT 144 | Tyr Y TAT 419 | Cys C TGT 90
TTC 141 | TCC 10 | TAC 92 | TGC 30
Leu L TTA 181 | TCA 87 | *** * TAA 0 | *** * TGA 0
TTG 240 | TCG 30 | TAG 0 | Trp W TGG 30
------------------------------------------------------------------------------
Leu L CTT 292 | Pro P CCT 209 | His H CAT 60 | Arg R CGT 120
CTC 67 | CCC 0 | CAC 30 | CGC 0
CTA 180 | CCA 30 | Gln Q CAA 120 | CGA 30
CTG 30 | CCG 0 | CAG 0 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 241 | Thr T ACT 330 | Asn N AAT 239 | Ser S AGT 150
ATC 30 | ACC 0 | AAC 31 | AGC 0
ATA 90 | ACA 60 | Lys K AAA 180 | Arg R AGA 60
Met M ATG 90 | ACG 30 | AAG 120 | AGG 0
------------------------------------------------------------------------------
Val V GTT 512 | Ala A GCT 267 | Asp D GAT 96 | Gly G GGT 299
GTC 179 | GCC 60 | GAC 144 | GGC 90
GTA 0 | GCA 0 | Glu E GAA 210 | GGA 0
GTG 60 | GCG 0 | GAG 30 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.29393 C:0.17304 A:0.24459 G:0.28844
position 2: T:0.41822 C:0.18622 A:0.26237 G:0.13319
position 3: T:0.58637 C:0.13393 A:0.18193 G:0.09778
Average T:0.43284 C:0.16440 A:0.22963 G:0.17314
Model 1: NearlyNeutral (2 categories)
TREE # 1: (23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
lnL(ntime: 36 np: 39): -1033.976870 +0.000000
31..23 31..26 31..17 31..15 31..13 31..11 31..24 31..25 31..10 31..2 31..21 31..20 31..7 31..28 31..1 31..14 31..22 31..29 31..4 31..32 32..19 32..12 31..33 33..6 33..27 31..34 34..9 34..35 35..36 36..30 36..18 35..37 37..16 37..3 34..8 34..5
0.008870 0.013483 0.004423 0.000004 0.000004 0.000004 0.000004 0.000004 0.004458 0.000004 0.013521 0.000004 0.004428 0.000004 0.004426 0.004439 0.004459 0.000004 0.004433 0.013617 0.000004 0.000004 0.008984 0.000004 0.004494 0.008877 0.004401 0.004399 0.004429 0.000004 0.000004 0.004488 0.000004 0.000004 0.000004 0.008860 9.629007 0.906648 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.129557
(23: 0.008870, 26: 0.013483, 17: 0.004423, 15: 0.000004, 13: 0.000004, 11: 0.000004, 24: 0.000004, 25: 0.000004, 10: 0.004458, 2: 0.000004, 21: 0.013521, 20: 0.000004, 7: 0.004428, 28: 0.000004, 1: 0.004426, 14: 0.004439, 22: 0.004459, 29: 0.000004, 4: 0.004433, (19: 0.000004, 12: 0.000004): 0.013617, (6: 0.000004, 27: 0.004494): 0.008984, (9: 0.004401, ((30: 0.000004, 18: 0.000004): 0.004429, (16: 0.000004, 3: 0.000004): 0.004488): 0.004399, 8: 0.000004, 5: 0.008860): 0.008877);
(C1: 0.008870, C10: 0.013483, C12: 0.004423, C15: 0.000004, C16: 0.000004, C17: 0.000004, C19: 0.000004, C20: 0.000004, C35: 0.004458, C4: 0.000004, C41: 0.013521, C47: 0.000004, C48: 0.004428, C49: 0.000004, C52: 0.004426, C54: 0.004439, C55: 0.004459, C8: 0.000004, C9: 0.004433, (C23: 0.000004, C24: 0.000004): 0.013617, (C11: 0.000004, C6: 0.004494): 0.008984, (C13: 0.004401, ((C22: 0.000004, C25: 0.000004): 0.004429, (C40: 0.000004, C44: 0.000004): 0.004488): 0.004399, C39: 0.000004, C7: 0.008860): 0.008877);
Detailed output identifying parameters
kappa (ts/tv) = 9.62901
MLEs of dN/dS (w) for site classes (K=2)
p: 0.90665 0.09335
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..23 0.009 537.0 138.0 0.0934 0.0010 0.0106 0.5 1.5
31..26 0.013 537.0 138.0 0.0934 0.0015 0.0161 0.8 2.2
31..17 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..15 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..13 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..11 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..24 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..25 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..10 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..2 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..21 0.014 537.0 138.0 0.0934 0.0015 0.0162 0.8 2.2
31..20 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..7 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..28 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..1 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..14 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..22 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..29 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..4 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
31..32 0.014 537.0 138.0 0.0934 0.0015 0.0163 0.8 2.2
32..19 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
32..12 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
31..33 0.009 537.0 138.0 0.0934 0.0010 0.0107 0.5 1.5
33..6 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
33..27 0.004 537.0 138.0 0.0934 0.0005 0.0054 0.3 0.7
31..34 0.009 537.0 138.0 0.0934 0.0010 0.0106 0.5 1.5
34..9 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
34..35 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
35..36 0.004 537.0 138.0 0.0934 0.0005 0.0053 0.3 0.7
36..30 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
36..18 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
35..37 0.004 537.0 138.0 0.0934 0.0005 0.0054 0.3 0.7
37..16 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
37..3 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
34..8 0.000 537.0 138.0 0.0934 0.0000 0.0000 0.0 0.0
34..5 0.009 537.0 138.0 0.0934 0.0010 0.0106 0.5 1.5
Time used: 1:29
Model 2: PositiveSelection (3 categories)
TREE # 1: (23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
check convergence..
lnL(ntime: 36 np: 41): -1033.698020 +0.000000
31..23 31..26 31..17 31..15 31..13 31..11 31..24 31..25 31..10 31..2 31..21 31..20 31..7 31..28 31..1 31..14 31..22 31..29 31..4 31..32 32..19 32..12 31..33 33..6 33..27 31..34 34..9 34..35 35..36 36..30 36..18 35..37 37..16 37..3 34..8 34..5
0.008952 0.013666 0.004461 0.000004 0.000004 0.000004 0.000004 0.000004 0.004494 0.000004 0.013654 0.000004 0.004465 0.000004 0.004463 0.004479 0.004511 0.000004 0.004472 0.013746 0.000004 0.000004 0.009064 0.000004 0.004529 0.008959 0.004438 0.004456 0.004445 0.000004 0.000004 0.004542 0.000004 0.000004 0.000004 0.008931 9.825713 0.935895 0.000000 0.000001 1.754013
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.130796
(23: 0.008952, 26: 0.013666, 17: 0.004461, 15: 0.000004, 13: 0.000004, 11: 0.000004, 24: 0.000004, 25: 0.000004, 10: 0.004494, 2: 0.000004, 21: 0.013654, 20: 0.000004, 7: 0.004465, 28: 0.000004, 1: 0.004463, 14: 0.004479, 22: 0.004511, 29: 0.000004, 4: 0.004472, (19: 0.000004, 12: 0.000004): 0.013746, (6: 0.000004, 27: 0.004529): 0.009064, (9: 0.004438, ((30: 0.000004, 18: 0.000004): 0.004445, (16: 0.000004, 3: 0.000004): 0.004542): 0.004456, 8: 0.000004, 5: 0.008931): 0.008959);
(C1: 0.008952, C10: 0.013666, C12: 0.004461, C15: 0.000004, C16: 0.000004, C17: 0.000004, C19: 0.000004, C20: 0.000004, C35: 0.004494, C4: 0.000004, C41: 0.013654, C47: 0.000004, C48: 0.004465, C49: 0.000004, C52: 0.004463, C54: 0.004479, C55: 0.004511, C8: 0.000004, C9: 0.004472, (C23: 0.000004, C24: 0.000004): 0.013746, (C11: 0.000004, C6: 0.004529): 0.009064, (C13: 0.004438, ((C22: 0.000004, C25: 0.000004): 0.004445, (C40: 0.000004, C44: 0.000004): 0.004542): 0.004456, C39: 0.000004, C7: 0.008931): 0.008959);
Detailed output identifying parameters
kappa (ts/tv) = 9.82571
MLEs of dN/dS (w) for site classes (K=3)
p: 0.93589 0.00000 0.06411
w: 0.00000 1.00000 1.75401
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..23 0.009 536.8 138.2 0.1124 0.0011 0.0101 0.6 1.4
31..26 0.014 536.8 138.2 0.1124 0.0017 0.0155 0.9 2.1
31..17 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..15 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..13 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..11 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..24 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..25 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..10 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..2 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..21 0.014 536.8 138.2 0.1124 0.0017 0.0155 0.9 2.1
31..20 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..7 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..28 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..1 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..14 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..22 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..29 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..4 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..32 0.014 536.8 138.2 0.1124 0.0018 0.0156 0.9 2.2
32..19 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
32..12 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..33 0.009 536.8 138.2 0.1124 0.0012 0.0103 0.6 1.4
33..6 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
33..27 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..34 0.009 536.8 138.2 0.1124 0.0011 0.0102 0.6 1.4
34..9 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
34..35 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
35..36 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
36..30 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
36..18 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
35..37 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
37..16 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
37..3 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
34..8 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
34..5 0.009 536.8 138.2 0.1124 0.0011 0.0101 0.6 1.4
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
11 L 1.000** 1.754
26 P 1.000** 1.754
68 G 1.000** 1.754
71 A 1.000** 1.754
134 S 1.000** 1.754
159 V 1.000** 1.754
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: C52)
Pr(w>1) post mean +- SE for w
68 G 0.724 2.663 +- 1.899
71 A 0.650 2.382 +- 1.757
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: 0.988 0.012 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.320 0.255 0.172 0.106 0.063 0.037 0.022 0.013 0.008 0.005
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.047
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.006 0.063 0.882
sum of density on p0-p1 = 1.000000
Time used: 4:36
Model 7: beta (10 categories)
TREE # 1: (23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
lnL(ntime: 36 np: 39): -1033.989400 +0.000000
31..23 31..26 31..17 31..15 31..13 31..11 31..24 31..25 31..10 31..2 31..21 31..20 31..7 31..28 31..1 31..14 31..22 31..29 31..4 31..32 32..19 32..12 31..33 33..6 33..27 31..34 34..9 34..35 35..36 36..30 36..18 35..37 37..16 37..3 34..8 34..5
0.008920 0.013557 0.004448 0.000004 0.000004 0.000004 0.000004 0.000004 0.004482 0.000004 0.013594 0.000004 0.004453 0.000004 0.004451 0.004464 0.004483 0.000004 0.004458 0.013688 0.000004 0.000004 0.009032 0.000004 0.004518 0.008927 0.004426 0.004424 0.004454 0.000004 0.000004 0.004513 0.000004 0.000004 0.000004 0.008911 9.769898 0.005000 0.049203
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.130272
(23: 0.008920, 26: 0.013557, 17: 0.004448, 15: 0.000004, 13: 0.000004, 11: 0.000004, 24: 0.000004, 25: 0.000004, 10: 0.004482, 2: 0.000004, 21: 0.013594, 20: 0.000004, 7: 0.004453, 28: 0.000004, 1: 0.004451, 14: 0.004464, 22: 0.004483, 29: 0.000004, 4: 0.004458, (19: 0.000004, 12: 0.000004): 0.013688, (6: 0.000004, 27: 0.004518): 0.009032, (9: 0.004426, ((30: 0.000004, 18: 0.000004): 0.004454, (16: 0.000004, 3: 0.000004): 0.004513): 0.004424, 8: 0.000004, 5: 0.008911): 0.008927);
(C1: 0.008920, C10: 0.013557, C12: 0.004448, C15: 0.000004, C16: 0.000004, C17: 0.000004, C19: 0.000004, C20: 0.000004, C35: 0.004482, C4: 0.000004, C41: 0.013594, C47: 0.000004, C48: 0.004453, C49: 0.000004, C52: 0.004451, C54: 0.004464, C55: 0.004483, C8: 0.000004, C9: 0.004458, (C23: 0.000004, C24: 0.000004): 0.013688, (C11: 0.000004, C6: 0.004518): 0.009032, (C13: 0.004426, ((C22: 0.000004, C25: 0.000004): 0.004454, (C40: 0.000004, C44: 0.000004): 0.004513): 0.004424, C39: 0.000004, C7: 0.008911): 0.008927);
Detailed output identifying parameters
kappa (ts/tv) = 9.76990
Parameters in M7 (beta):
p = 0.00500 q = 0.04920
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..23 0.009 536.9 138.1 0.1000 0.0010 0.0105 0.6 1.4
31..26 0.014 536.9 138.1 0.1000 0.0016 0.0159 0.9 2.2
31..17 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
31..15 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..13 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..11 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..24 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..25 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..10 0.004 536.9 138.1 0.1000 0.0005 0.0053 0.3 0.7
31..2 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..21 0.014 536.9 138.1 0.1000 0.0016 0.0159 0.9 2.2
31..20 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..7 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
31..28 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..1 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
31..14 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
31..22 0.004 536.9 138.1 0.1000 0.0005 0.0053 0.3 0.7
31..29 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..4 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
31..32 0.014 536.9 138.1 0.1000 0.0016 0.0161 0.9 2.2
32..19 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
32..12 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
31..33 0.009 536.9 138.1 0.1000 0.0011 0.0106 0.6 1.5
33..6 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
33..27 0.005 536.9 138.1 0.1000 0.0005 0.0053 0.3 0.7
31..34 0.009 536.9 138.1 0.1000 0.0010 0.0105 0.6 1.4
34..9 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
34..35 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
35..36 0.004 536.9 138.1 0.1000 0.0005 0.0052 0.3 0.7
36..30 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
36..18 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
35..37 0.005 536.9 138.1 0.1000 0.0005 0.0053 0.3 0.7
37..16 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
37..3 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
34..8 0.000 536.9 138.1 0.1000 0.0000 0.0000 0.0 0.0
34..5 0.009 536.9 138.1 0.1000 0.0010 0.0105 0.6 1.4
Time used: 15:20
Model 8: beta&w>1 (11 categories)
TREE # 1: (23, 26, 17, 15, 13, 11, 24, 25, 10, 2, 21, 20, 7, 28, 1, 14, 22, 29, 4, (19, 12), (6, 27), (9, ((30, 18), (16, 3)), 8, 5)); MP score: 28
lnL(ntime: 36 np: 41): -1033.698010 +0.000000
31..23 31..26 31..17 31..15 31..13 31..11 31..24 31..25 31..10 31..2 31..21 31..20 31..7 31..28 31..1 31..14 31..22 31..29 31..4 31..32 32..19 32..12 31..33 33..6 33..27 31..34 34..9 34..35 35..36 36..30 36..18 35..37 37..16 37..3 34..8 34..5
0.008952 0.013666 0.004461 0.000004 0.000004 0.000004 0.000004 0.000004 0.004495 0.000004 0.013654 0.000004 0.004466 0.000004 0.004463 0.004480 0.004512 0.000004 0.004472 0.013747 0.000004 0.000004 0.009064 0.000004 0.004529 0.008959 0.004438 0.004456 0.004445 0.000004 0.000004 0.004542 0.000004 0.000004 0.000004 0.008931 9.825583 0.935896 0.005000 99.000000 1.754070
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.130800
(23: 0.008952, 26: 0.013666, 17: 0.004461, 15: 0.000004, 13: 0.000004, 11: 0.000004, 24: 0.000004, 25: 0.000004, 10: 0.004495, 2: 0.000004, 21: 0.013654, 20: 0.000004, 7: 0.004466, 28: 0.000004, 1: 0.004463, 14: 0.004480, 22: 0.004512, 29: 0.000004, 4: 0.004472, (19: 0.000004, 12: 0.000004): 0.013747, (6: 0.000004, 27: 0.004529): 0.009064, (9: 0.004438, ((30: 0.000004, 18: 0.000004): 0.004445, (16: 0.000004, 3: 0.000004): 0.004542): 0.004456, 8: 0.000004, 5: 0.008931): 0.008959);
(C1: 0.008952, C10: 0.013666, C12: 0.004461, C15: 0.000004, C16: 0.000004, C17: 0.000004, C19: 0.000004, C20: 0.000004, C35: 0.004495, C4: 0.000004, C41: 0.013654, C47: 0.000004, C48: 0.004466, C49: 0.000004, C52: 0.004463, C54: 0.004480, C55: 0.004512, C8: 0.000004, C9: 0.004472, (C23: 0.000004, C24: 0.000004): 0.013747, (C11: 0.000004, C6: 0.004529): 0.009064, (C13: 0.004438, ((C22: 0.000004, C25: 0.000004): 0.004445, (C40: 0.000004, C44: 0.000004): 0.004542): 0.004456, C39: 0.000004, C7: 0.008931): 0.008959);
Detailed output identifying parameters
kappa (ts/tv) = 9.82558
Parameters in M8 (beta&w>1):
p0 = 0.93590 p = 0.00500 q = 99.00000
(p1 = 0.06410) w = 1.75407
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09359 0.09359 0.09359 0.09359 0.09359 0.09359 0.09359 0.09359 0.09359 0.09359 0.06410
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.75407
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..23 0.009 536.8 138.2 0.1124 0.0011 0.0101 0.6 1.4
31..26 0.014 536.8 138.2 0.1124 0.0017 0.0155 0.9 2.1
31..17 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..15 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..13 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..11 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..24 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..25 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..10 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..2 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..21 0.014 536.8 138.2 0.1124 0.0017 0.0155 0.9 2.1
31..20 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..7 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..28 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..1 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..14 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..22 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..29 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..4 0.004 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..32 0.014 536.8 138.2 0.1124 0.0018 0.0156 0.9 2.2
32..19 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
32..12 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
31..33 0.009 536.8 138.2 0.1124 0.0012 0.0103 0.6 1.4
33..6 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
33..27 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
31..34 0.009 536.8 138.2 0.1124 0.0011 0.0102 0.6 1.4
34..9 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
34..35 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
35..36 0.004 536.8 138.2 0.1124 0.0006 0.0050 0.3 0.7
36..30 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
36..18 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
35..37 0.005 536.8 138.2 0.1124 0.0006 0.0051 0.3 0.7
37..16 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
37..3 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
34..8 0.000 536.8 138.2 0.1124 0.0000 0.0000 0.0 0.0
34..5 0.009 536.8 138.2 0.1124 0.0011 0.0101 0.6 1.4
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
11 L 1.000** 1.754
26 P 1.000** 1.754
68 G 1.000** 1.754
71 A 1.000** 1.754
134 S 1.000** 1.754
159 V 1.000** 1.754
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: C52)
Pr(w>1) post mean +- SE for w
68 G 0.792 2.178 +- 1.496
71 A 0.739 2.030 +- 1.453
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.006 0.994
p : 0.965 0.033 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.005 0.022 0.054 0.094 0.138 0.183 0.229 0.274
ws: 0.471 0.274 0.134 0.063 0.030 0.014 0.007 0.004 0.002 0.001
Time used: 31:58
Model 1: NearlyNeutral -1033.976870 Model 2: PositiveSelection -1033.698020 Model 7: beta -1033.989400 Model 8: beta&w>1 -1033.698010 Model 2 vs 1 .557700 Model 8 vs 7 .582780
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
