--- 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 -537.88 -551.87
2 -537.95 -550.18
--------------------------------------
TOTAL -537.92 -551.35
--------------------------------------
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} 0.034615 0.000128 0.014617 0.056515 0.033212 1501.00 1501.00 1.000
r(A<->C){all} 0.064461 0.003481 0.000001 0.181798 0.046432 117.80 119.00 1.000
r(A<->G){all} 0.066635 0.004166 0.000001 0.195401 0.046662 46.26 90.19 1.006
r(A<->T){all} 0.110257 0.005877 0.006763 0.258831 0.094375 84.72 87.29 1.014
r(C<->G){all} 0.207301 0.012422 0.020246 0.422499 0.188812 73.13 75.38 1.008
r(C<->T){all} 0.302443 0.012130 0.103478 0.516811 0.293626 98.53 109.69 1.004
r(G<->T){all} 0.248904 0.011004 0.055212 0.449842 0.240458 99.49 121.04 1.012
pi(A){all} 0.252509 0.000565 0.203963 0.295738 0.251578 883.45 917.20 1.000
pi(C){all} 0.245455 0.000541 0.197642 0.288034 0.245313 803.58 852.03 1.000
pi(G){all} 0.199057 0.000474 0.157013 0.240416 0.198411 858.25 859.38 1.002
pi(T){all} 0.302980 0.000640 0.254000 0.351105 0.302557 767.27 794.93 1.001
alpha{1,2} 1.030269 0.950957 0.001082 2.985852 0.751136 726.09 748.44 1.000
alpha{3} 1.014892 0.951383 0.000211 2.862093 0.733411 601.72 706.60 1.001
pinvar{all} 0.370653 0.053048 0.000014 0.769990 0.350425 262.10 302.49 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -510.985393
Model 2: PositiveSelection -510.380745
Model 7: beta -511.001141
Model 8: beta&w>1 -510.380745
Model 2 vs 1 1.209296
Model 8 vs 7 1.240792
-- Starting log on Thu Dec 22 09:28:13 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 09:30:20 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 15:02:37 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result/gapped_alignment/codeml,Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.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 327 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C65
Taxon 2 -> C10
Taxon 3 -> C67
Taxon 4 -> C9
Taxon 5 -> C73
Taxon 6 -> C72
Taxon 7 -> C74
Taxon 8 -> C16
Taxon 9 -> C80
Taxon 10 -> C81
Taxon 11 -> C58
Taxon 12 -> C87
Taxon 13 -> C60
Taxon 14 -> C107
Taxon 15 -> C115
Taxon 16 -> C114
Taxon 17 -> C61
Taxon 18 -> C8
Taxon 19 -> C117
Taxon 20 -> C15
Taxon 21 -> C124
Taxon 22 -> C11
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C18
Taxon 26 -> C77
Taxon 27 -> C136
Taxon 28 -> C7
Taxon 29 -> C25
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1671721360
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) = 300904641
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 = 5083677741
Seed = 1890407019
Swapseed = 1671721360
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 9 unique site patterns
Division 2 has 4 unique site patterns
Division 3 has 9 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 -- -881.227461 -- 82.122948
Chain 2 -- -891.721722 -- 82.122948
Chain 3 -- -898.557686 -- 82.122948
Chain 4 -- -911.333816 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -893.943544 -- 82.122948
Chain 2 -- -892.010191 -- 82.122948
Chain 3 -- -895.160601 -- 82.122948
Chain 4 -- -901.829752 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-881.227] (-891.722) (-898.558) (-911.334) * [-893.944] (-892.010) (-895.161) (-901.830)
1000 -- (-588.064) (-576.423) [-568.610] (-573.967) * (-601.668) (-581.511) [-571.266] (-579.438) -- 0:00:00
2000 -- (-577.862) (-547.135) [-551.550] (-558.602) * (-566.460) (-564.049) [-551.374] (-571.834) -- 0:00:00
3000 -- (-552.099) [-540.653] (-556.590) (-557.538) * (-557.965) (-555.075) (-538.617) [-544.435] -- 0:05:32
4000 -- [-546.512] (-542.203) (-555.376) (-550.191) * (-564.264) (-557.106) (-542.769) [-541.905] -- 0:04:09
5000 -- (-548.626) [-544.963] (-551.116) (-560.643) * [-539.338] (-550.277) (-542.445) (-544.866) -- 0:06:38
Average standard deviation of split frequencies: 0.079550
6000 -- [-543.292] (-566.787) (-556.531) (-542.849) * (-542.528) (-554.585) [-539.316] (-547.015) -- 0:05:31
7000 -- (-547.702) (-561.539) [-545.334] (-549.077) * (-565.392) [-540.872] (-542.785) (-540.241) -- 0:04:43
8000 -- (-556.275) (-543.797) (-561.386) [-542.636] * (-553.130) (-544.202) [-541.018] (-551.814) -- 0:06:12
9000 -- (-546.724) (-556.537) (-550.557) [-540.675] * (-541.615) [-539.924] (-539.858) (-552.135) -- 0:05:30
10000 -- (-549.969) (-546.891) [-547.993] (-547.324) * [-543.871] (-552.897) (-539.920) (-555.777) -- 0:06:36
Average standard deviation of split frequencies: 0.067815
11000 -- (-557.208) (-564.277) (-549.299) [-541.647] * [-547.963] (-546.226) (-539.950) (-575.071) -- 0:05:59
12000 -- (-557.208) (-558.948) [-544.989] (-554.266) * (-546.941) [-540.905] (-543.810) (-550.920) -- 0:05:29
13000 -- (-548.399) (-544.900) (-546.536) [-545.899] * (-570.761) [-538.362] (-552.205) (-546.149) -- 0:06:19
14000 -- (-550.270) (-546.292) [-549.830] (-544.342) * (-562.506) (-544.618) [-541.351] (-559.875) -- 0:05:52
15000 -- (-546.122) (-551.058) [-542.502] (-546.101) * (-563.053) [-541.069] (-544.516) (-609.502) -- 0:06:34
Average standard deviation of split frequencies: 0.061909
16000 -- (-554.098) (-541.246) (-558.687) [-537.302] * (-565.913) (-549.236) [-538.746] (-574.520) -- 0:06:09
17000 -- (-560.647) (-539.505) [-548.297] (-549.945) * (-557.263) (-552.320) [-540.634] (-575.223) -- 0:05:46
18000 -- [-543.978] (-552.820) (-549.983) (-546.113) * (-576.448) [-542.281] (-546.452) (-567.013) -- 0:06:21
19000 -- (-544.246) [-539.409] (-547.890) (-590.912) * (-562.782) [-539.917] (-545.157) (-571.501) -- 0:06:01
20000 -- (-546.701) (-545.307) [-540.436] (-588.567) * (-562.453) [-544.917] (-549.471) (-567.847) -- 0:05:43
Average standard deviation of split frequencies: 0.055285
21000 -- [-544.460] (-535.804) (-555.295) (-570.620) * (-567.740) [-543.163] (-537.302) (-565.607) -- 0:06:12
22000 -- [-544.605] (-547.805) (-567.196) (-570.074) * (-563.775) [-538.373] (-542.569) (-569.242) -- 0:05:55
23000 -- [-541.420] (-545.624) (-588.865) (-573.181) * (-559.995) [-540.742] (-539.685) (-577.010) -- 0:06:22
24000 -- (-551.666) [-540.218] (-598.018) (-584.850) * (-574.263) (-542.733) [-538.128] (-569.810) -- 0:06:06
25000 -- (-545.568) [-538.288] (-583.755) (-566.844) * (-585.374) [-537.896] (-543.771) (-568.803) -- 0:05:51
Average standard deviation of split frequencies: 0.038204
26000 -- (-538.615) [-543.295] (-570.230) (-566.970) * (-558.801) [-537.832] (-546.767) (-566.802) -- 0:06:14
27000 -- [-539.760] (-550.714) (-570.805) (-565.727) * (-568.987) [-541.661] (-544.640) (-560.788) -- 0:06:00
28000 -- (-543.034) [-552.377] (-583.082) (-574.574) * (-567.253) (-547.232) [-541.062] (-581.578) -- 0:06:21
29000 -- [-542.106] (-541.763) (-572.014) (-582.436) * (-559.319) [-538.926] (-544.495) (-562.794) -- 0:06:08
30000 -- (-543.127) [-541.106] (-575.730) (-581.568) * (-568.955) (-539.090) [-539.729] (-554.925) -- 0:05:55
Average standard deviation of split frequencies: 0.040703
31000 -- [-538.090] (-545.755) (-575.115) (-573.110) * (-568.527) [-544.864] (-539.287) (-566.282) -- 0:06:15
32000 -- [-540.719] (-542.225) (-571.712) (-569.397) * (-566.636) (-543.633) [-537.499] (-564.029) -- 0:06:03
33000 -- [-539.733] (-546.214) (-577.196) (-567.187) * (-565.514) (-545.144) [-541.725] (-567.636) -- 0:05:51
34000 -- [-547.571] (-551.262) (-578.943) (-571.850) * (-564.451) (-551.160) [-537.669] (-561.138) -- 0:06:09
35000 -- (-547.865) [-554.014] (-575.210) (-571.504) * (-564.622) (-542.303) [-538.994] (-565.183) -- 0:05:58
Average standard deviation of split frequencies: 0.038868
36000 -- (-542.133) [-538.997] (-568.441) (-571.119) * (-565.034) (-541.998) [-540.848] (-573.016) -- 0:06:14
37000 -- (-547.791) [-540.393] (-586.172) (-572.427) * (-574.943) [-544.436] (-537.613) (-567.222) -- 0:06:04
38000 -- [-548.532] (-549.419) (-570.599) (-566.670) * (-577.733) [-539.606] (-544.210) (-564.604) -- 0:05:54
39000 -- (-541.184) [-543.517] (-571.823) (-571.116) * (-564.643) (-544.534) [-537.253] (-565.473) -- 0:06:09
40000 -- (-574.095) [-539.608] (-573.882) (-570.100) * (-560.901) [-548.600] (-537.885) (-568.940) -- 0:06:00
Average standard deviation of split frequencies: 0.037826
41000 -- (-568.045) [-538.371] (-583.374) (-576.286) * (-576.547) [-539.569] (-546.194) (-564.776) -- 0:06:14
42000 -- (-567.073) [-549.662] (-573.583) (-570.975) * (-565.034) (-544.160) [-537.221] (-569.984) -- 0:06:04
43000 -- (-573.501) [-537.458] (-589.140) (-573.465) * (-563.029) [-539.932] (-543.059) (-561.611) -- 0:05:56
44000 -- (-565.270) [-543.212] (-584.237) (-573.186) * (-563.419) (-545.513) [-541.074] (-559.792) -- 0:06:09
45000 -- (-564.903) [-541.892] (-577.579) (-571.895) * (-560.233) [-542.805] (-544.990) (-569.573) -- 0:06:00
Average standard deviation of split frequencies: 0.035282
46000 -- (-561.394) [-544.934] (-574.772) (-572.018) * (-561.819) (-546.548) [-540.267] (-569.319) -- 0:05:52
47000 -- (-566.322) [-543.197] (-574.023) (-568.497) * (-566.804) [-549.383] (-548.835) (-568.179) -- 0:06:04
48000 -- (-565.515) [-548.233] (-568.508) (-565.030) * (-578.795) (-545.044) [-540.375] (-575.790) -- 0:05:57
49000 -- (-563.994) [-546.904] (-571.913) (-567.610) * (-571.608) (-548.586) [-539.757] (-561.819) -- 0:06:08
50000 -- (-564.596) [-542.824] (-562.717) (-570.109) * (-570.668) (-548.528) [-541.648] (-567.785) -- 0:06:01
Average standard deviation of split frequencies: 0.033081
51000 -- (-574.815) [-541.816] (-573.623) (-567.956) * (-569.796) (-549.437) [-539.413] (-557.743) -- 0:05:53
52000 -- (-568.547) [-545.451] (-577.450) (-563.539) * (-575.037) (-550.625) [-537.985] (-562.205) -- 0:06:04
53000 -- (-562.785) [-546.844] (-562.523) (-571.086) * (-575.178) (-543.201) [-541.027] (-564.394) -- 0:05:57
54000 -- (-564.701) [-544.671] (-570.369) (-568.562) * (-558.860) [-540.781] (-546.022) (-570.322) -- 0:06:07
55000 -- (-561.490) [-546.497] (-578.331) (-564.459) * (-567.272) (-547.406) [-538.837] (-568.835) -- 0:06:00
Average standard deviation of split frequencies: 0.029734
56000 -- (-573.089) [-543.100] (-570.725) (-572.321) * (-587.215) (-546.980) [-538.018] (-564.824) -- 0:05:54
57000 -- (-568.618) [-546.357] (-567.668) (-571.771) * (-573.168) (-546.634) [-538.794] (-558.417) -- 0:06:03
58000 -- (-565.240) [-537.077] (-569.723) (-561.742) * (-575.124) [-539.348] (-542.576) (-558.249) -- 0:05:57
59000 -- (-574.825) [-546.699] (-567.313) (-558.921) * (-571.413) [-543.951] (-540.547) (-560.122) -- 0:05:50
60000 -- (-560.377) [-547.187] (-564.295) (-578.350) * (-566.169) (-540.431) [-538.700] (-558.327) -- 0:06:00
Average standard deviation of split frequencies: 0.030036
61000 -- (-569.589) [-550.556] (-566.552) (-578.596) * (-563.684) (-542.212) [-538.525] (-569.655) -- 0:05:54
62000 -- (-560.767) [-547.063] (-568.709) (-581.046) * (-576.839) (-545.352) [-546.561] (-566.516) -- 0:06:03
63000 -- (-565.616) [-552.579] (-569.079) (-574.335) * (-562.129) (-552.347) [-543.372] (-566.555) -- 0:05:56
64000 -- (-578.806) [-552.719] (-568.422) (-560.602) * (-569.323) (-542.827) [-536.376] (-582.120) -- 0:05:51
65000 -- (-568.747) [-542.963] (-571.205) (-567.870) * (-559.770) [-539.674] (-541.707) (-567.636) -- 0:05:59
Average standard deviation of split frequencies: 0.027717
66000 -- (-569.356) [-542.971] (-573.163) (-578.384) * (-559.864) (-545.227) [-541.062] (-561.942) -- 0:05:53
67000 -- (-562.861) [-538.075] (-562.094) (-582.964) * (-561.010) (-574.934) [-542.581] (-569.673) -- 0:06:02
68000 -- (-567.271) [-543.969] (-578.606) (-569.369) * (-570.392) (-561.393) [-542.254] (-568.993) -- 0:05:56
69000 -- (-569.707) [-544.899] (-571.314) (-569.234) * (-578.220) (-565.042) [-539.501] (-563.022) -- 0:05:50
70000 -- (-561.470) [-540.021] (-568.698) (-574.749) * (-586.694) (-560.050) [-540.446] (-560.048) -- 0:05:58
Average standard deviation of split frequencies: 0.026468
71000 -- (-571.545) [-538.071] (-575.095) (-566.705) * (-559.060) (-570.267) [-541.363] (-559.031) -- 0:05:53
72000 -- (-574.200) [-540.617] (-564.452) (-571.063) * (-558.278) (-565.867) [-537.804] (-561.629) -- 0:05:48
73000 -- (-588.683) [-539.892] (-593.762) (-578.075) * (-562.083) (-562.294) [-542.093] (-561.123) -- 0:05:55
74000 -- (-571.131) [-545.786] (-575.064) (-567.347) * (-569.916) (-566.123) [-539.210] (-561.049) -- 0:05:50
75000 -- (-576.748) [-546.113] (-565.669) (-564.912) * (-568.695) (-556.501) [-539.882] (-576.497) -- 0:05:57
Average standard deviation of split frequencies: 0.026392
76000 -- (-565.354) [-538.667] (-572.340) (-564.874) * (-565.711) (-571.011) [-537.158] (-564.921) -- 0:05:52
77000 -- (-561.327) [-538.838] (-567.525) (-563.858) * (-573.667) (-569.562) [-540.942] (-562.715) -- 0:05:47
78000 -- (-577.633) [-537.974] (-579.685) (-557.574) * (-571.437) (-567.409) [-535.819] (-559.332) -- 0:05:54
79000 -- (-567.200) [-541.338] (-572.811) (-564.165) * (-580.855) (-569.405) [-543.062] (-566.678) -- 0:05:49
80000 -- (-565.300) [-540.632] (-560.149) (-568.349) * (-574.668) (-570.308) [-540.909] (-558.737) -- 0:05:45
Average standard deviation of split frequencies: 0.022740
81000 -- (-577.367) [-539.371] (-575.709) (-575.508) * (-572.283) (-563.336) [-542.671] (-557.005) -- 0:05:51
82000 -- (-558.889) [-543.349] (-574.505) (-569.357) * (-565.248) (-561.146) [-545.406] (-566.626) -- 0:05:47
83000 -- (-573.083) [-538.119] (-580.584) (-577.518) * (-578.063) (-562.031) [-537.128] (-572.910) -- 0:05:53
84000 -- (-567.301) [-543.953] (-580.227) (-565.472) * (-576.657) (-558.871) [-540.676] (-560.217) -- 0:05:48
85000 -- (-579.611) [-545.858] (-574.629) (-564.637) * (-577.458) (-564.460) [-539.445] (-555.430) -- 0:05:44
Average standard deviation of split frequencies: 0.021723
86000 -- (-564.746) [-540.968] (-570.054) (-576.883) * (-562.023) (-563.530) [-539.501] (-564.650) -- 0:05:50
87000 -- (-563.221) [-539.573] (-574.448) (-582.989) * (-563.479) (-568.563) [-540.063] (-569.880) -- 0:05:46
88000 -- (-571.049) [-539.994] (-568.682) (-568.602) * (-572.454) (-575.537) [-549.092] (-574.151) -- 0:05:52
89000 -- (-565.560) [-544.590] (-568.919) (-577.837) * (-575.356) (-557.881) [-541.035] (-568.659) -- 0:05:48
90000 -- (-567.565) [-542.136] (-569.463) (-571.856) * (-558.760) (-558.931) [-542.566] (-569.989) -- 0:05:43
Average standard deviation of split frequencies: 0.022813
91000 -- (-560.285) [-545.783] (-587.152) (-579.780) * (-570.519) (-557.571) [-537.062] (-567.645) -- 0:05:49
92000 -- (-561.751) [-543.239] (-585.457) (-579.184) * (-570.540) (-561.516) [-548.182] (-566.486) -- 0:05:45
93000 -- (-563.181) [-544.795] (-588.951) (-571.531) * (-572.549) (-558.480) [-541.700] (-565.566) -- 0:05:51
94000 -- (-588.343) [-540.812] (-597.691) (-577.158) * (-575.012) (-564.488) [-540.655] (-565.085) -- 0:05:46
95000 -- (-574.363) [-543.513] (-566.467) (-566.451) * (-573.372) (-564.115) [-542.817] (-563.897) -- 0:05:42
Average standard deviation of split frequencies: 0.021060
96000 -- (-561.189) [-540.957] (-570.524) (-570.694) * (-566.034) (-558.006) [-542.527] (-570.527) -- 0:05:48
97000 -- (-563.378) [-535.973] (-569.918) (-564.529) * (-570.122) (-554.162) [-544.770] (-571.243) -- 0:05:44
98000 -- (-562.181) [-542.040] (-582.751) (-566.152) * (-566.118) (-554.160) [-546.432] (-565.223) -- 0:05:40
99000 -- (-562.140) [-543.770] (-566.166) (-569.574) * (-560.558) (-561.693) [-542.981] (-557.356) -- 0:05:45
100000 -- (-570.190) [-541.699] (-567.256) (-572.572) * (-558.653) (-562.757) [-539.264] (-566.977) -- 0:05:42
Average standard deviation of split frequencies: 0.020624
101000 -- (-569.452) [-540.331] (-573.168) (-567.147) * (-556.629) (-559.449) [-539.060] (-560.896) -- 0:05:47
102000 -- (-572.861) [-543.527] (-564.518) (-572.366) * (-564.021) (-575.749) [-544.062] (-562.899) -- 0:05:43
103000 -- (-565.393) [-537.272] (-571.557) (-573.993) * (-563.766) (-577.174) [-537.881] (-565.009) -- 0:05:39
104000 -- (-570.838) [-542.069] (-579.085) (-561.244) * (-558.529) (-565.828) [-538.416] (-560.693) -- 0:05:44
105000 -- (-561.084) [-537.649] (-568.075) (-563.546) * (-563.516) (-556.936) [-537.222] (-581.303) -- 0:05:40
Average standard deviation of split frequencies: 0.019072
106000 -- (-563.832) [-542.881] (-575.000) (-569.637) * (-574.250) (-561.031) [-542.208] (-580.205) -- 0:05:45
107000 -- (-568.007) [-543.306] (-571.983) (-565.248) * (-565.399) (-560.738) [-542.518] (-565.921) -- 0:05:42
108000 -- (-570.446) [-544.394] (-573.770) (-571.786) * (-565.708) (-565.412) [-545.383] (-571.972) -- 0:05:38
109000 -- (-572.733) [-544.306] (-559.360) (-570.908) * (-560.981) (-574.048) [-546.589] (-562.978) -- 0:05:43
110000 -- (-565.146) [-542.666] (-568.499) (-557.994) * (-561.692) (-562.425) [-541.499] (-565.497) -- 0:05:39
Average standard deviation of split frequencies: 0.019210
111000 -- (-564.686) [-543.146] (-562.979) (-560.092) * (-567.702) (-565.990) [-537.091] (-567.462) -- 0:05:36
112000 -- (-569.328) [-539.264] (-562.288) (-565.266) * (-578.413) (-565.454) [-540.745] (-554.324) -- 0:05:40
113000 -- (-565.431) [-545.007] (-561.906) (-565.602) * (-567.441) (-564.085) [-539.610] (-572.397) -- 0:05:37
114000 -- (-572.304) [-538.747] (-569.628) (-575.428) * (-570.869) (-559.585) [-541.407] (-583.923) -- 0:05:41
115000 -- (-571.612) [-548.120] (-564.151) (-571.320) * (-559.619) (-566.130) [-544.259] (-568.979) -- 0:05:38
Average standard deviation of split frequencies: 0.019368
116000 -- (-559.515) [-546.088] (-570.742) (-565.128) * (-560.690) (-563.621) [-536.524] (-566.915) -- 0:05:35
117000 -- (-567.902) [-539.311] (-566.726) (-568.965) * (-562.339) (-566.259) [-540.109] (-569.003) -- 0:05:39
118000 -- (-572.408) [-544.267] (-566.244) (-567.269) * (-558.757) (-565.899) [-538.251] (-563.549) -- 0:05:36
119000 -- (-569.471) [-538.939] (-573.174) (-559.457) * (-563.979) (-556.842) [-540.953] (-556.925) -- 0:05:40
120000 -- (-569.881) [-545.269] (-558.874) (-563.382) * (-588.881) (-560.932) [-547.021] (-562.951) -- 0:05:37
Average standard deviation of split frequencies: 0.018120
121000 -- (-572.367) [-543.608] (-564.545) (-588.409) * (-581.618) (-564.059) [-539.077] (-556.032) -- 0:05:34
122000 -- (-567.899) [-543.049] (-562.985) (-564.028) * (-583.427) (-571.745) [-547.028] (-559.539) -- 0:05:38
123000 -- (-559.403) [-547.963] (-566.008) (-583.409) * (-565.200) (-560.988) [-539.403] (-567.200) -- 0:05:35
124000 -- (-572.680) [-542.207] (-580.223) (-563.758) * (-563.546) (-555.665) [-537.020] (-559.670) -- 0:05:39
125000 -- (-567.076) [-542.109] (-579.063) (-566.460) * (-565.369) (-564.213) [-546.264] (-553.338) -- 0:05:36
Average standard deviation of split frequencies: 0.017436
126000 -- (-568.355) [-538.320] (-566.128) (-565.963) * (-564.689) (-571.990) [-543.073] (-563.776) -- 0:05:32
127000 -- (-561.362) [-540.541] (-558.809) (-570.591) * (-562.984) (-561.597) [-540.269] (-557.717) -- 0:05:36
128000 -- (-567.614) [-540.710] (-571.494) (-560.036) * (-567.162) (-563.154) [-540.477] (-559.788) -- 0:05:33
129000 -- (-572.883) [-538.828] (-566.172) (-563.241) * (-555.099) (-568.074) [-543.211] (-558.693) -- 0:05:30
130000 -- (-562.540) [-541.459] (-572.821) (-566.725) * (-560.589) (-558.849) [-545.750] (-560.482) -- 0:05:34
Average standard deviation of split frequencies: 0.017553
131000 -- (-569.897) [-551.566] (-560.892) (-560.654) * (-564.385) (-558.422) [-544.632] (-557.359) -- 0:05:31
132000 -- (-580.533) [-542.989] (-571.664) (-569.432) * (-571.234) (-570.506) [-537.190] (-570.686) -- 0:05:35
133000 -- (-572.247) [-542.906] (-572.657) (-580.223) * (-578.702) (-567.767) [-541.699] (-556.422) -- 0:05:32
134000 -- (-583.939) [-539.988] (-570.586) (-568.717) * (-571.285) (-562.139) [-539.934] (-562.491) -- 0:05:29
135000 -- (-565.175) [-538.576] (-572.582) (-579.630) * (-566.851) (-565.854) [-550.400] (-555.958) -- 0:05:33
Average standard deviation of split frequencies: 0.017886
136000 -- (-570.258) [-540.415] (-571.105) (-572.082) * (-568.519) (-565.011) [-539.498] (-564.974) -- 0:05:30
137000 -- (-560.193) [-542.606] (-574.895) (-588.476) * (-563.301) (-572.820) [-541.114] (-563.195) -- 0:05:33
138000 -- (-565.852) [-542.315] (-578.825) (-569.877) * (-563.716) (-565.746) [-544.926] (-571.331) -- 0:05:31
139000 -- (-566.146) [-541.518] (-566.840) (-569.695) * (-558.836) (-569.014) [-541.646] (-569.265) -- 0:05:28
140000 -- (-562.586) [-537.767] (-562.424) (-562.424) * (-560.856) (-564.504) [-545.221] (-558.864) -- 0:05:31
Average standard deviation of split frequencies: 0.018851
141000 -- (-580.788) [-537.929] (-568.121) (-567.651) * (-572.637) (-572.475) [-539.386] (-555.750) -- 0:05:28
142000 -- (-565.391) [-540.832] (-565.044) (-569.577) * (-564.811) (-560.769) [-537.512] (-556.297) -- 0:05:32
143000 -- (-566.345) [-539.942] (-583.239) (-571.575) * (-563.605) (-558.442) [-544.176] (-558.248) -- 0:05:29
144000 -- (-568.875) [-541.516] (-573.367) (-565.545) * (-563.689) (-568.760) [-541.038] (-562.746) -- 0:05:26
145000 -- (-567.585) [-538.541] (-574.850) (-568.617) * (-566.594) (-574.294) [-542.834] (-560.019) -- 0:05:30
Average standard deviation of split frequencies: 0.018356
146000 -- (-569.115) [-541.924] (-580.571) (-565.491) * (-564.056) (-558.978) [-538.212] (-564.554) -- 0:05:27
147000 -- (-569.411) [-542.562] (-581.157) (-578.199) * (-566.734) (-557.681) [-539.474] (-570.024) -- 0:05:24
148000 -- (-566.359) [-548.020] (-570.613) (-570.880) * (-562.565) (-563.274) [-538.538] (-564.387) -- 0:05:28
149000 -- (-563.180) [-538.779] (-574.478) (-574.405) * (-558.691) (-570.237) [-544.596] (-559.926) -- 0:05:25
150000 -- (-564.733) [-538.358] (-563.686) (-576.437) * (-568.327) (-562.532) [-542.918] (-561.185) -- 0:05:28
Average standard deviation of split frequencies: 0.018390
151000 -- (-569.559) [-548.364] (-562.406) (-573.153) * (-564.245) (-557.143) [-537.494] (-562.920) -- 0:05:26
152000 -- (-566.383) [-547.666] (-567.682) (-572.185) * (-563.983) (-561.863) [-539.761] (-565.683) -- 0:05:23
153000 -- (-569.400) [-543.697] (-570.215) (-568.887) * (-567.466) (-563.231) [-547.110] (-559.991) -- 0:05:26
154000 -- (-592.505) [-539.992] (-567.657) (-569.157) * (-565.578) (-555.882) [-547.850] (-557.906) -- 0:05:24
155000 -- (-571.315) [-538.179] (-564.673) (-571.327) * (-576.377) (-572.951) [-543.467] (-558.229) -- 0:05:27
Average standard deviation of split frequencies: 0.017587
156000 -- (-568.032) [-537.883] (-561.941) (-565.490) * (-560.310) (-563.891) [-538.662] (-564.162) -- 0:05:24
157000 -- (-570.102) [-541.675] (-561.003) (-565.537) * (-567.157) (-580.059) [-540.218] (-565.381) -- 0:05:22
158000 -- (-568.020) [-536.950] (-571.434) (-575.170) * (-566.585) (-576.832) [-544.381] (-559.061) -- 0:05:25
159000 -- (-567.687) [-537.011] (-565.062) (-569.599) * (-565.067) (-567.151) [-540.324] (-559.986) -- 0:05:22
160000 -- (-570.854) [-541.352] (-564.213) (-563.558) * (-572.430) (-564.609) [-540.489] (-553.424) -- 0:05:20
Average standard deviation of split frequencies: 0.017349
161000 -- (-573.707) [-541.720] (-584.908) (-572.855) * (-568.001) (-572.291) [-544.358] (-557.883) -- 0:05:23
162000 -- (-577.907) [-538.119] (-570.431) (-564.604) * (-573.656) (-566.319) [-538.732] (-564.076) -- 0:05:20
163000 -- (-585.248) [-538.610] (-562.332) (-567.959) * (-565.882) (-565.290) [-543.571] (-560.186) -- 0:05:23
164000 -- (-568.908) [-537.915] (-573.600) (-578.662) * (-568.550) (-574.174) [-544.394] (-559.213) -- 0:05:21
165000 -- (-565.287) [-536.237] (-563.787) (-579.408) * (-561.454) (-565.775) [-537.990] (-555.758) -- 0:05:18
Average standard deviation of split frequencies: 0.015034
166000 -- (-574.117) [-542.552] (-565.684) (-577.660) * (-563.173) (-561.223) [-548.676] (-556.066) -- 0:05:21
167000 -- (-565.910) [-539.524] (-568.205) (-574.947) * (-566.794) (-565.660) [-534.725] (-559.213) -- 0:05:19
168000 -- (-559.714) [-542.423] (-559.739) (-572.178) * (-566.319) (-559.694) [-538.071] (-566.936) -- 0:05:21
169000 -- (-567.995) [-537.457] (-558.761) (-566.859) * (-582.321) (-572.446) [-536.329] (-557.238) -- 0:05:19
170000 -- (-569.660) [-538.135] (-560.132) (-573.756) * (-572.231) (-569.723) [-539.006] (-570.057) -- 0:05:17
Average standard deviation of split frequencies: 0.014962
171000 -- (-573.586) [-544.487] (-566.874) (-588.466) * (-563.069) (-572.872) [-538.091] (-566.657) -- 0:05:19
172000 -- (-568.730) [-553.520] (-569.056) (-574.024) * (-557.335) (-578.589) [-538.551] (-564.111) -- 0:05:17
173000 -- (-563.171) [-543.724] (-583.199) (-589.522) * (-569.394) (-561.282) [-538.756] (-558.917) -- 0:05:20
174000 -- (-564.376) [-535.314] (-580.827) (-569.369) * (-570.732) (-555.041) [-537.684] (-568.634) -- 0:05:18
175000 -- (-561.153) [-538.766] (-583.168) (-598.682) * (-572.877) (-562.366) [-535.842] (-576.405) -- 0:05:15
Average standard deviation of split frequencies: 0.015547
176000 -- (-566.758) [-541.611] (-579.816) (-575.150) * (-575.110) (-560.012) [-540.555] (-556.108) -- 0:05:18
177000 -- (-560.556) [-542.480] (-578.922) (-579.685) * (-582.074) (-561.419) [-539.075] (-573.687) -- 0:05:16
178000 -- (-556.036) [-543.379] (-586.059) (-564.191) * (-569.547) (-561.663) [-536.418] (-572.343) -- 0:05:14
179000 -- (-560.163) [-536.162] (-570.435) (-573.777) * (-569.956) (-559.580) [-536.520] (-571.262) -- 0:05:16
180000 -- (-563.793) [-543.531] (-565.438) (-575.848) * (-574.911) (-570.247) [-540.770] (-573.631) -- 0:05:14
Average standard deviation of split frequencies: 0.015549
181000 -- (-563.229) [-544.346] (-560.533) (-562.049) * (-568.703) (-565.474) [-543.002] (-569.974) -- 0:05:16
182000 -- (-561.905) [-541.370] (-562.145) (-565.431) * (-566.515) (-570.094) [-538.039] (-566.522) -- 0:05:14
183000 -- (-567.806) [-534.045] (-564.118) (-573.909) * (-562.858) (-559.007) [-539.824] (-564.279) -- 0:05:12
184000 -- (-559.572) [-540.616] (-569.688) (-574.996) * (-569.140) (-567.701) [-538.460] (-560.754) -- 0:05:14
185000 -- (-567.048) [-551.197] (-567.876) (-574.554) * (-559.476) (-557.144) [-542.777] (-564.281) -- 0:05:12
Average standard deviation of split frequencies: 0.015455
186000 -- (-565.920) [-544.558] (-572.214) (-590.136) * (-557.943) (-559.777) [-538.844] (-569.084) -- 0:05:15
187000 -- (-573.656) [-540.151] (-578.164) (-578.543) * (-566.539) (-555.147) [-540.019] (-561.425) -- 0:05:13
188000 -- (-558.723) [-535.755] (-572.682) (-579.186) * (-560.992) (-555.805) [-548.539] (-558.152) -- 0:05:10
189000 -- (-568.030) [-539.900] (-567.548) (-575.028) * (-567.628) (-558.552) [-541.559] (-563.320) -- 0:05:13
190000 -- (-579.265) [-542.067] (-568.139) (-561.664) * (-572.171) (-566.594) [-540.834] (-566.007) -- 0:05:11
Average standard deviation of split frequencies: 0.015319
191000 -- (-573.682) [-537.872] (-569.384) (-564.158) * (-580.412) (-558.542) [-535.623] (-556.101) -- 0:05:13
192000 -- (-574.511) [-539.252] (-579.736) (-577.550) * (-565.393) (-558.797) [-541.365] (-565.293) -- 0:05:11
193000 -- (-570.835) [-541.465] (-581.848) (-568.513) * (-562.671) (-558.249) [-547.742] (-555.723) -- 0:05:09
194000 -- (-572.263) [-539.406] (-580.420) (-569.755) * (-577.462) (-561.419) [-538.100] (-556.133) -- 0:05:11
195000 -- (-571.516) [-540.428] (-578.487) (-569.947) * (-569.241) (-567.091) [-542.307] (-555.428) -- 0:05:09
Average standard deviation of split frequencies: 0.015681
196000 -- (-562.430) [-541.262] (-564.825) (-563.650) * (-564.941) (-568.948) [-539.647] (-556.194) -- 0:05:07
197000 -- (-567.367) [-536.184] (-572.665) (-570.020) * (-559.453) (-558.375) [-545.020] (-557.799) -- 0:05:09
198000 -- (-577.821) [-535.926] (-576.133) (-583.391) * (-563.316) (-561.461) [-542.624] (-552.369) -- 0:05:07
199000 -- (-586.057) [-540.985] (-568.338) (-584.371) * (-573.701) (-570.756) [-544.275] (-573.398) -- 0:05:09
200000 -- (-584.031) [-546.142] (-580.612) (-582.836) * (-577.456) (-559.902) [-547.002] (-558.547) -- 0:05:08
Average standard deviation of split frequencies: 0.015514
201000 -- (-563.986) [-541.203] (-570.132) (-574.899) * (-569.639) (-579.639) [-542.172] (-561.897) -- 0:05:06
202000 -- (-570.211) [-548.663] (-564.243) (-578.163) * (-562.885) (-570.553) [-542.009] (-564.928) -- 0:05:08
203000 -- (-573.128) [-546.259] (-566.479) (-568.388) * (-568.367) (-575.547) [-540.917] (-560.519) -- 0:05:06
204000 -- (-564.816) [-535.623] (-569.852) (-574.618) * (-564.576) (-562.079) [-540.032] (-554.458) -- 0:05:04
205000 -- (-561.614) [-537.849] (-563.630) (-572.268) * (-565.751) (-558.064) [-542.454] (-557.252) -- 0:05:06
Average standard deviation of split frequencies: 0.015525
206000 -- (-566.115) [-541.987] (-564.208) (-567.146) * (-559.075) (-569.370) [-544.697] (-570.091) -- 0:05:04
207000 -- (-590.501) [-550.407] (-557.681) (-568.936) * (-561.115) (-566.648) [-542.449] (-561.810) -- 0:05:06
208000 -- (-574.082) [-543.329] (-564.789) (-568.749) * (-571.418) (-568.823) [-541.601] (-569.505) -- 0:05:04
209000 -- (-570.877) [-540.133] (-570.474) (-569.290) * (-562.554) (-574.228) [-543.304] (-558.283) -- 0:05:02
210000 -- (-573.687) [-547.142] (-573.826) (-568.244) * (-560.963) (-567.205) [-550.276] (-578.458) -- 0:05:04
Average standard deviation of split frequencies: 0.014545
211000 -- (-572.826) [-546.581] (-574.423) (-571.009) * (-558.224) (-568.405) [-545.813] (-568.678) -- 0:05:02
212000 -- (-561.848) [-546.204] (-562.357) (-588.628) * (-564.296) (-571.552) [-539.050] (-567.257) -- 0:05:04
213000 -- (-568.852) [-545.872] (-569.023) (-575.837) * (-563.018) (-586.608) [-539.214] (-567.933) -- 0:05:02
214000 -- (-575.046) [-543.764] (-565.759) (-566.317) * (-562.884) (-576.540) [-553.408] (-565.473) -- 0:05:01
215000 -- (-575.946) [-541.894] (-567.571) (-565.228) * (-573.838) (-575.471) [-544.706] (-570.289) -- 0:05:03
Average standard deviation of split frequencies: 0.015364
216000 -- (-561.387) [-541.533] (-577.910) (-567.792) * (-558.019) (-562.781) [-535.428] (-573.511) -- 0:05:01
217000 -- (-573.163) [-552.902] (-576.094) (-563.118) * (-573.649) (-572.923) [-538.285] (-554.680) -- 0:04:59
218000 -- (-567.636) [-544.492] (-558.790) (-566.824) * (-571.289) (-564.739) [-534.993] (-553.614) -- 0:05:01
219000 -- (-572.169) [-545.058] (-573.301) (-565.760) * (-577.838) (-557.793) [-536.916] (-554.310) -- 0:04:59
220000 -- (-570.573) [-540.645] (-575.604) (-576.027) * (-569.615) (-567.594) [-542.700] (-553.824) -- 0:05:01
Average standard deviation of split frequencies: 0.014569
221000 -- (-570.912) [-541.464] (-573.140) (-575.128) * (-564.913) (-555.446) [-538.396] (-557.336) -- 0:04:59
222000 -- (-572.967) [-537.704] (-570.398) (-565.101) * (-567.254) (-560.238) [-541.899] (-554.548) -- 0:04:57
223000 -- (-570.043) [-546.671] (-566.930) (-571.569) * (-562.473) (-561.663) [-545.543] (-562.886) -- 0:04:59
224000 -- (-583.221) [-546.710] (-561.903) (-571.901) * (-561.824) (-564.471) [-538.918] (-558.142) -- 0:04:57
225000 -- (-572.793) [-541.590] (-571.238) (-576.140) * (-567.649) (-570.089) [-541.321] (-559.658) -- 0:04:59
Average standard deviation of split frequencies: 0.014935
226000 -- (-568.944) [-537.464] (-570.424) (-566.938) * (-562.973) (-572.788) [-549.062] (-555.761) -- 0:04:57
227000 -- (-574.680) [-546.289] (-578.121) (-577.862) * (-560.590) (-566.380) [-540.755] (-556.072) -- 0:04:56
228000 -- (-562.614) [-544.522] (-567.433) (-566.321) * (-563.355) (-554.772) [-540.131] (-561.628) -- 0:04:57
229000 -- (-574.144) [-551.218] (-568.885) (-573.838) * (-558.046) (-556.709) [-544.785] (-565.802) -- 0:04:56
230000 -- (-563.814) [-541.032] (-564.880) (-576.053) * (-565.960) (-565.046) [-539.697] (-567.746) -- 0:04:54
Average standard deviation of split frequencies: 0.014837
231000 -- (-573.217) [-542.842] (-576.580) (-578.024) * (-557.884) (-562.851) [-541.977] (-570.284) -- 0:04:56
232000 -- (-565.841) [-538.737] (-564.563) (-575.956) * (-572.399) (-563.128) [-544.826] (-563.628) -- 0:04:54
233000 -- (-574.254) [-539.487] (-572.642) (-567.039) * (-570.196) (-561.030) [-543.682] (-568.217) -- 0:04:56
234000 -- (-561.733) [-540.306] (-567.853) (-568.916) * (-563.732) (-563.603) [-545.989] (-581.434) -- 0:04:54
235000 -- (-564.461) [-537.436] (-567.278) (-575.948) * (-570.727) (-559.573) [-542.768] (-558.965) -- 0:04:52
Average standard deviation of split frequencies: 0.014674
236000 -- (-564.039) [-542.295] (-569.310) (-583.032) * (-557.094) (-562.235) [-542.311] (-568.244) -- 0:04:54
237000 -- (-573.464) [-539.420] (-563.111) (-573.925) * (-561.430) (-578.979) [-539.403] (-571.537) -- 0:04:52
238000 -- (-578.326) [-541.255] (-562.539) (-563.338) * (-567.951) (-592.948) [-540.238] (-560.544) -- 0:04:51
239000 -- (-573.847) [-543.581] (-563.376) (-581.990) * (-561.145) (-569.838) [-536.776] (-567.623) -- 0:04:52
240000 -- (-574.462) [-541.500] (-565.061) (-569.879) * (-561.735) (-574.575) [-544.621] (-569.949) -- 0:04:51
Average standard deviation of split frequencies: 0.014471
241000 -- (-574.253) [-542.109] (-566.312) (-581.435) * (-558.048) (-570.993) [-543.916] (-560.543) -- 0:04:52
242000 -- (-573.112) [-543.994] (-562.226) (-576.531) * (-566.446) (-566.054) [-540.041] (-565.160) -- 0:04:51
243000 -- (-582.792) [-543.626] (-575.747) (-575.926) * (-567.269) (-560.668) [-541.378] (-571.115) -- 0:04:49
244000 -- (-583.423) [-541.962] (-561.077) (-575.973) * (-578.058) (-568.985) [-542.360] (-566.764) -- 0:04:51
245000 -- (-580.136) [-541.064] (-570.670) (-573.603) * (-564.440) (-572.884) [-541.849] (-565.431) -- 0:04:49
Average standard deviation of split frequencies: 0.013776
246000 -- (-589.341) [-544.301] (-573.577) (-576.555) * (-567.723) (-575.905) [-540.500] (-565.429) -- 0:04:51
247000 -- (-560.476) [-541.679] (-566.836) (-579.131) * (-561.523) (-571.195) [-536.943] (-564.402) -- 0:04:49
248000 -- (-561.722) [-539.160] (-575.399) (-575.081) * (-564.033) (-568.118) [-547.249] (-568.095) -- 0:04:48
249000 -- (-575.482) [-546.820] (-569.390) (-570.752) * (-562.290) (-569.796) [-540.674] (-556.423) -- 0:04:49
250000 -- (-570.911) [-538.047] (-567.183) (-571.368) * (-568.888) (-571.252) [-539.840] (-563.822) -- 0:04:48
Average standard deviation of split frequencies: 0.012648
251000 -- (-563.182) [-539.874] (-565.352) (-575.113) * (-570.545) (-574.241) [-544.473] (-557.983) -- 0:04:46
252000 -- (-561.252) [-538.550] (-578.558) (-581.117) * (-562.566) (-565.555) [-535.749] (-557.399) -- 0:04:47
253000 -- (-559.590) [-541.447] (-576.726) (-569.673) * (-570.685) (-566.802) [-540.359] (-560.977) -- 0:04:46
254000 -- (-563.427) [-544.554] (-567.983) (-566.575) * (-569.529) (-570.298) [-539.591] (-556.771) -- 0:04:47
255000 -- (-578.468) [-538.352] (-573.918) (-578.913) * (-565.904) (-579.015) [-543.735] (-571.140) -- 0:04:46
Average standard deviation of split frequencies: 0.012853
256000 -- (-565.441) [-542.803] (-568.820) (-573.916) * (-560.840) (-569.159) [-544.514] (-562.598) -- 0:04:44
257000 -- (-571.189) [-542.815] (-562.075) (-571.004) * (-553.176) (-564.898) [-538.998] (-560.865) -- 0:04:46
258000 -- (-572.181) [-541.596] (-563.146) (-560.317) * (-558.924) (-562.222) [-541.356] (-556.319) -- 0:04:44
259000 -- (-577.434) [-540.782] (-566.908) (-568.537) * (-564.263) (-558.235) [-537.291] (-554.123) -- 0:04:43
260000 -- (-567.957) [-537.044] (-564.545) (-581.196) * (-557.222) (-574.831) [-540.123] (-555.520) -- 0:04:44
Average standard deviation of split frequencies: 0.013049
261000 -- (-565.757) [-539.593] (-563.883) (-569.941) * (-563.263) (-563.613) [-539.450] (-556.439) -- 0:04:43
262000 -- (-565.356) [-543.351] (-571.023) (-583.241) * (-563.014) (-554.766) [-538.200] (-556.314) -- 0:04:44
263000 -- (-557.256) [-543.307] (-566.015) (-566.738) * (-574.334) (-560.100) [-538.715] (-555.830) -- 0:04:43
264000 -- (-558.303) [-542.124] (-564.729) (-579.079) * (-572.138) (-574.404) [-536.889] (-559.462) -- 0:04:41
265000 -- (-576.123) [-542.970] (-567.338) (-567.948) * (-579.360) (-570.716) [-540.711] (-555.697) -- 0:04:42
Average standard deviation of split frequencies: 0.012340
266000 -- (-558.714) [-538.875] (-561.362) (-570.392) * (-565.615) (-563.901) [-542.127] (-566.364) -- 0:04:41
267000 -- (-560.516) [-537.950] (-567.172) (-560.326) * (-558.328) (-560.722) [-533.720] (-562.219) -- 0:04:42
268000 -- (-562.353) [-539.164] (-585.245) (-566.114) * (-559.357) (-561.372) [-538.620] (-562.761) -- 0:04:41
269000 -- (-561.990) [-541.775] (-576.772) (-565.096) * (-555.582) (-561.468) [-535.626] (-571.989) -- 0:04:39
270000 -- (-560.074) [-542.814] (-581.744) (-565.848) * (-559.403) (-563.097) [-542.535] (-562.980) -- 0:04:41
Average standard deviation of split frequencies: 0.012853
271000 -- (-560.551) [-541.997] (-579.793) (-564.004) * (-558.429) (-559.404) [-538.973] (-571.367) -- 0:04:39
272000 -- (-562.996) [-540.773] (-564.370) (-577.360) * (-562.610) (-572.067) [-541.416] (-571.436) -- 0:04:38
273000 -- (-555.592) [-542.183] (-565.341) (-566.168) * (-570.415) (-562.480) [-540.886] (-565.964) -- 0:04:39
274000 -- (-571.643) [-537.307] (-575.482) (-563.678) * (-565.559) (-564.490) [-542.525] (-557.013) -- 0:04:38
275000 -- (-563.918) [-538.530] (-575.452) (-576.603) * (-554.859) (-570.586) [-537.093] (-555.722) -- 0:04:39
Average standard deviation of split frequencies: 0.012864
276000 -- (-558.940) [-541.685] (-567.942) (-564.687) * (-565.936) (-564.685) [-539.067] (-559.049) -- 0:04:38
277000 -- (-565.092) [-543.154] (-588.958) (-563.518) * (-572.198) (-572.033) [-550.149] (-565.696) -- 0:04:36
278000 -- (-561.671) [-541.671] (-575.923) (-564.546) * (-566.736) (-559.926) [-545.535] (-562.848) -- 0:04:37
279000 -- (-569.847) [-538.245] (-564.915) (-560.879) * (-559.773) (-562.487) [-546.318] (-573.613) -- 0:04:36
280000 -- (-564.829) [-541.261] (-561.797) (-566.165) * (-564.767) (-555.171) [-540.719] (-572.348) -- 0:04:35
Average standard deviation of split frequencies: 0.012562
281000 -- (-573.083) [-542.018] (-570.318) (-562.305) * (-560.859) (-561.756) [-542.931] (-571.154) -- 0:04:36
282000 -- (-569.949) [-540.154] (-563.120) (-570.607) * (-561.240) (-557.115) [-542.740] (-573.478) -- 0:04:34
283000 -- (-569.338) [-540.658] (-572.739) (-569.074) * (-563.814) (-567.531) [-544.351] (-559.186) -- 0:04:36
284000 -- (-577.560) [-544.133] (-566.005) (-585.534) * (-562.993) (-561.756) [-539.081] (-567.308) -- 0:04:34
285000 -- (-561.716) [-542.116] (-577.823) (-568.521) * (-560.976) (-569.094) [-543.041] (-557.998) -- 0:04:33
Average standard deviation of split frequencies: 0.012443
286000 -- (-562.498) [-541.909] (-562.271) (-570.845) * (-573.955) (-587.918) [-540.916] (-562.531) -- 0:04:34
287000 -- (-562.998) [-544.430] (-555.438) (-574.501) * (-574.792) (-565.570) [-545.659] (-560.971) -- 0:04:33
288000 -- (-568.972) [-540.583] (-556.226) (-574.859) * (-559.112) (-567.385) [-547.556] (-565.573) -- 0:04:31
289000 -- (-570.351) [-551.110] (-555.891) (-561.495) * (-556.192) (-566.189) [-540.042] (-580.046) -- 0:04:33
290000 -- (-564.803) [-535.333] (-555.132) (-563.074) * (-564.531) (-558.193) [-542.054] (-563.150) -- 0:04:31
Average standard deviation of split frequencies: 0.012710
291000 -- (-569.041) [-539.982] (-558.294) (-581.172) * (-559.310) (-558.508) [-541.241] (-561.848) -- 0:04:32
292000 -- (-567.737) [-545.883] (-559.374) (-585.176) * (-564.709) (-561.084) [-536.261] (-572.766) -- 0:04:31
293000 -- (-573.090) [-543.126] (-552.753) (-570.202) * (-562.879) (-564.864) [-547.046] (-563.451) -- 0:04:30
294000 -- (-567.042) [-541.029] (-558.454) (-569.851) * (-568.569) (-558.444) [-538.719] (-566.128) -- 0:04:31
295000 -- (-564.866) [-540.129] (-561.315) (-568.259) * (-558.512) (-561.921) [-540.365] (-572.949) -- 0:04:30
Average standard deviation of split frequencies: 0.012475
296000 -- (-573.948) [-544.306] (-568.334) (-574.932) * (-572.401) (-557.073) [-539.765] (-571.347) -- 0:04:31
297000 -- (-564.986) [-537.484] (-570.047) (-560.978) * (-568.580) (-569.489) [-553.978] (-559.955) -- 0:04:29
298000 -- (-588.571) [-542.462] (-564.763) (-565.115) * (-575.723) (-559.097) [-542.440] (-565.846) -- 0:04:28
299000 -- (-580.669) [-539.670] (-565.206) (-562.498) * (-569.422) (-556.887) [-537.218] (-562.996) -- 0:04:29
300000 -- (-567.303) [-543.503] (-563.576) (-568.847) * (-570.669) (-555.612) [-542.735] (-560.645) -- 0:04:28
Average standard deviation of split frequencies: 0.012703
301000 -- (-580.020) [-535.565] (-570.535) (-571.009) * (-571.669) (-554.770) [-536.001] (-559.793) -- 0:04:27
302000 -- (-581.060) [-545.856] (-555.276) (-569.618) * (-568.145) (-558.459) [-537.823] (-561.691) -- 0:04:28
303000 -- (-578.146) [-537.465] (-555.102) (-580.495) * (-562.091) (-575.451) [-539.324] (-564.226) -- 0:04:26
304000 -- (-571.573) [-545.421] (-568.316) (-570.036) * (-568.300) (-561.961) [-544.055] (-568.312) -- 0:04:27
305000 -- (-560.042) [-540.357] (-560.849) (-575.415) * (-558.937) (-572.274) [-543.351] (-569.564) -- 0:04:26
Average standard deviation of split frequencies: 0.012848
306000 -- (-570.367) [-545.445] (-566.958) (-566.379) * (-577.734) (-566.897) [-540.898] (-561.719) -- 0:04:25
307000 -- (-565.172) [-539.825] (-569.280) (-571.825) * (-567.638) (-556.476) [-536.202] (-562.144) -- 0:04:26
308000 -- (-561.747) [-544.908] (-553.049) (-564.852) * (-570.025) (-564.289) [-541.659] (-559.880) -- 0:04:25
309000 -- (-567.545) [-544.915] (-559.239) (-560.334) * (-571.517) (-566.820) [-543.382] (-556.762) -- 0:04:23
310000 -- (-564.878) [-543.016] (-566.125) (-568.213) * (-565.000) (-564.961) [-544.347] (-576.462) -- 0:04:24
Average standard deviation of split frequencies: 0.013440
311000 -- (-562.575) [-540.809] (-583.308) (-567.175) * (-566.939) (-559.348) [-540.892] (-570.831) -- 0:04:23
312000 -- (-561.426) [-541.852] (-574.476) (-569.067) * (-566.254) (-567.070) [-538.243] (-566.955) -- 0:04:24
313000 -- (-560.660) [-539.389] (-559.130) (-566.593) * (-568.564) (-561.895) [-542.791] (-558.645) -- 0:04:23
314000 -- (-566.233) [-544.782] (-551.985) (-585.160) * (-564.889) (-563.444) [-542.894] (-570.134) -- 0:04:22
315000 -- (-574.221) [-539.404] (-556.896) (-590.579) * (-562.274) (-554.512) [-543.249] (-562.797) -- 0:04:23
Average standard deviation of split frequencies: 0.013337
316000 -- (-573.543) [-547.517] (-560.665) (-577.561) * (-568.303) (-562.660) [-538.823] (-569.062) -- 0:04:21
317000 -- (-568.984) [-542.485] (-558.514) (-569.463) * (-565.300) (-559.967) [-533.936] (-563.133) -- 0:04:22
318000 -- (-576.745) [-544.949] (-564.849) (-576.221) * (-561.591) (-572.444) [-541.173] (-557.292) -- 0:04:21
319000 -- (-560.027) [-546.000] (-570.866) (-568.118) * (-563.597) (-571.281) [-546.614] (-561.549) -- 0:04:20
320000 -- (-565.539) [-538.104] (-577.124) (-582.264) * (-575.865) (-566.523) [-541.950] (-560.761) -- 0:04:21
Average standard deviation of split frequencies: 0.013261
321000 -- (-563.067) [-536.890] (-560.295) (-577.083) * (-561.802) (-559.753) [-547.722] (-575.252) -- 0:04:20
322000 -- (-573.866) [-540.074] (-570.207) (-568.331) * (-569.682) (-561.624) [-542.483] (-570.186) -- 0:04:18
323000 -- (-577.575) [-540.443] (-563.638) (-569.949) * (-561.651) (-565.698) [-534.969] (-560.060) -- 0:04:19
324000 -- (-565.813) [-543.563] (-562.850) (-567.448) * (-559.505) (-565.928) [-536.043] (-558.249) -- 0:04:18
325000 -- (-569.944) [-536.782] (-564.049) (-565.060) * (-566.880) (-563.800) [-533.551] (-570.528) -- 0:04:19
Average standard deviation of split frequencies: 0.013221
326000 -- (-563.777) [-539.860] (-563.415) (-560.090) * (-566.910) (-568.281) [-536.902] (-566.640) -- 0:04:18
327000 -- (-569.400) [-539.475] (-568.273) (-571.928) * (-574.766) (-555.740) [-539.639] (-555.148) -- 0:04:17
328000 -- (-572.632) [-538.987] (-570.387) (-570.382) * (-555.054) (-564.303) [-542.176] (-569.994) -- 0:04:18
329000 -- (-559.435) [-541.417] (-564.093) (-576.239) * (-556.321) (-567.792) [-541.868] (-559.125) -- 0:04:16
330000 -- (-558.069) [-540.688] (-558.475) (-571.694) * (-570.178) (-568.872) [-543.090] (-568.671) -- 0:04:15
Average standard deviation of split frequencies: 0.012714
331000 -- (-562.029) [-546.552] (-567.823) (-569.677) * (-558.070) (-568.648) [-543.514] (-559.471) -- 0:04:16
332000 -- (-559.927) [-548.439] (-572.193) (-578.127) * (-562.328) (-569.847) [-545.732] (-569.573) -- 0:04:15
333000 -- (-572.200) [-541.221] (-564.027) (-581.992) * (-564.951) (-564.767) [-542.556] (-568.479) -- 0:04:16
334000 -- (-562.079) [-544.331] (-569.438) (-578.274) * (-566.425) (-566.818) [-543.319] (-558.563) -- 0:04:15
335000 -- (-569.354) [-545.419] (-562.932) (-575.247) * (-565.665) (-568.929) [-543.863] (-566.523) -- 0:04:14
Average standard deviation of split frequencies: 0.012656
336000 -- (-561.767) [-541.625] (-559.962) (-565.154) * (-571.859) (-566.590) [-538.319] (-558.818) -- 0:04:14
337000 -- (-556.046) [-555.820] (-566.371) (-579.722) * (-561.423) (-571.083) [-538.322] (-558.220) -- 0:04:13
338000 -- (-562.635) [-550.312] (-558.211) (-570.280) * (-563.725) (-570.739) [-546.514] (-561.286) -- 0:04:14
339000 -- (-559.128) [-542.757] (-556.344) (-564.411) * (-557.379) (-564.635) [-544.280] (-558.044) -- 0:04:13
340000 -- (-569.717) [-539.870] (-564.869) (-567.699) * (-577.051) (-569.331) [-540.856] (-566.803) -- 0:04:12
Average standard deviation of split frequencies: 0.012800
341000 -- (-566.235) [-541.492] (-560.743) (-564.876) * (-561.158) (-559.632) [-542.865] (-561.132) -- 0:04:13
342000 -- (-562.991) [-546.281] (-563.018) (-561.304) * (-562.632) (-571.253) [-544.157] (-563.323) -- 0:04:12
343000 -- (-563.638) [-540.735] (-574.870) (-562.276) * (-561.455) (-575.884) [-539.739] (-566.943) -- 0:04:10
344000 -- (-570.183) [-543.828] (-560.813) (-572.790) * (-559.635) (-569.154) [-541.278] (-566.231) -- 0:04:11
345000 -- (-563.309) [-541.222] (-555.094) (-582.239) * (-566.320) (-563.885) [-542.126] (-566.473) -- 0:04:10
Average standard deviation of split frequencies: 0.012689
346000 -- (-570.238) [-536.921] (-560.926) (-580.029) * (-571.928) (-557.467) [-543.607] (-561.852) -- 0:04:11
347000 -- (-567.713) [-540.258] (-561.180) (-568.928) * (-569.862) (-565.398) [-541.841] (-556.214) -- 0:04:10
348000 -- (-562.940) [-538.263] (-558.379) (-564.932) * (-559.124) (-557.408) [-540.003] (-557.671) -- 0:04:09
349000 -- (-562.056) [-538.368] (-559.862) (-571.316) * (-576.145) (-559.311) [-546.251] (-561.499) -- 0:04:09
350000 -- (-572.545) [-542.442] (-559.089) (-568.976) * (-589.647) (-570.558) [-544.179] (-566.919) -- 0:04:08
Average standard deviation of split frequencies: 0.012932
351000 -- (-569.541) [-540.621] (-571.932) (-569.560) * (-573.972) (-568.159) [-541.330] (-565.581) -- 0:04:09
352000 -- (-568.101) [-537.360] (-565.407) (-561.667) * (-572.696) (-561.976) [-541.228] (-554.200) -- 0:04:08
353000 -- (-571.804) [-540.044] (-565.299) (-563.957) * (-573.417) (-561.331) [-545.156] (-555.420) -- 0:04:07
354000 -- (-569.834) [-539.911] (-566.228) (-565.493) * (-578.155) (-562.823) [-544.854] (-567.786) -- 0:04:08
355000 -- (-568.027) [-543.533] (-573.907) (-573.962) * (-569.551) (-559.014) [-541.634] (-565.231) -- 0:04:07
Average standard deviation of split frequencies: 0.012739
356000 -- (-569.004) [-543.182] (-563.513) (-575.411) * (-568.350) (-567.224) [-544.382] (-555.424) -- 0:04:06
357000 -- (-560.420) [-541.367] (-566.516) (-574.921) * (-563.383) (-564.270) [-543.981] (-561.032) -- 0:04:06
358000 -- (-560.727) [-541.667] (-571.368) (-573.599) * (-563.514) (-575.164) [-541.198] (-559.728) -- 0:04:05
359000 -- (-562.268) [-542.590] (-574.570) (-579.347) * (-557.449) (-564.024) [-538.212] (-559.892) -- 0:04:06
360000 -- (-558.045) [-550.567] (-558.279) (-577.642) * (-555.895) (-563.361) [-542.483] (-563.299) -- 0:04:05
Average standard deviation of split frequencies: 0.012404
361000 -- (-576.441) [-553.266] (-573.932) (-567.417) * (-564.922) (-563.197) [-544.217] (-575.841) -- 0:04:04
362000 -- (-565.901) [-546.411] (-555.286) (-573.952) * (-573.857) (-562.094) [-542.249] (-563.899) -- 0:04:04
363000 -- (-571.492) [-540.932] (-560.304) (-570.808) * (-569.397) (-558.236) [-538.547] (-561.658) -- 0:04:03
364000 -- (-558.800) [-541.034] (-562.604) (-573.031) * (-571.814) (-566.134) [-541.885] (-561.075) -- 0:04:04
365000 -- (-562.206) [-542.628] (-572.212) (-568.653) * (-564.791) (-566.576) [-542.588] (-561.177) -- 0:04:03
Average standard deviation of split frequencies: 0.012310
366000 -- (-563.260) [-539.484] (-562.562) (-577.383) * (-562.524) (-575.179) [-536.722] (-568.938) -- 0:04:02
367000 -- (-575.788) [-542.566] (-562.203) (-573.671) * (-560.745) (-567.178) [-539.669] (-556.762) -- 0:04:03
368000 -- (-578.321) [-539.913] (-583.153) (-570.973) * (-569.763) (-558.146) [-542.538] (-558.048) -- 0:04:02
369000 -- (-571.068) [-544.726] (-577.295) (-570.227) * (-585.478) (-564.371) [-538.585] (-561.379) -- 0:04:01
370000 -- (-575.796) [-543.761] (-564.581) (-560.917) * (-562.408) (-567.290) [-538.267] (-563.704) -- 0:04:01
Average standard deviation of split frequencies: 0.012056
371000 -- (-566.272) [-549.392] (-563.355) (-567.681) * (-561.770) (-575.407) [-540.426] (-555.498) -- 0:04:00
372000 -- (-574.276) [-555.034] (-577.105) (-570.489) * (-568.845) (-570.161) [-541.673] (-561.776) -- 0:04:01
373000 -- (-583.433) [-543.851] (-569.435) (-568.887) * (-558.261) (-566.507) [-539.978] (-559.815) -- 0:04:00
374000 -- (-575.864) [-543.529] (-558.544) (-578.273) * (-566.878) (-566.922) [-540.618] (-559.264) -- 0:03:59
375000 -- (-574.236) [-548.339] (-566.103) (-575.604) * (-569.163) (-557.930) [-536.523] (-556.923) -- 0:04:00
Average standard deviation of split frequencies: 0.011754
376000 -- (-559.478) [-546.490] (-561.829) (-585.014) * (-559.797) (-559.476) [-541.665] (-560.089) -- 0:03:58
377000 -- (-564.319) [-541.057] (-566.250) (-573.555) * (-559.179) (-562.439) [-541.854] (-571.670) -- 0:03:57
378000 -- (-562.587) [-543.903] (-563.353) (-578.131) * (-571.823) (-563.468) [-543.687] (-563.430) -- 0:03:58
379000 -- (-563.337) [-546.061] (-563.503) (-572.009) * (-569.601) (-558.519) [-540.946] (-563.424) -- 0:03:57
380000 -- (-568.916) [-544.592] (-563.987) (-579.296) * (-565.449) (-578.519) [-540.927] (-558.926) -- 0:03:58
Average standard deviation of split frequencies: 0.011868
381000 -- (-573.739) [-543.386] (-562.685) (-569.104) * (-563.838) (-566.006) [-538.808] (-563.288) -- 0:03:57
382000 -- (-569.908) [-542.106] (-571.661) (-566.349) * (-558.611) (-562.494) [-541.356] (-574.089) -- 0:03:56
383000 -- (-588.061) [-541.523] (-562.981) (-556.938) * (-554.926) (-568.425) [-539.547] (-568.340) -- 0:03:56
384000 -- (-578.272) [-540.238] (-562.321) (-564.288) * (-564.689) (-575.360) [-534.624] (-566.445) -- 0:03:55
385000 -- (-568.289) [-545.699] (-554.332) (-580.264) * (-569.178) (-573.577) [-542.717] (-578.155) -- 0:03:54
Average standard deviation of split frequencies: 0.011856
386000 -- (-566.973) [-549.351] (-570.003) (-574.467) * (-571.936) (-563.572) [-541.231] (-559.954) -- 0:03:55
387000 -- (-567.577) [-549.140] (-571.837) (-560.606) * (-571.806) (-564.610) [-545.289] (-562.143) -- 0:03:54
388000 -- (-564.220) [-543.295] (-571.356) (-568.004) * (-567.116) (-566.992) [-538.716] (-570.110) -- 0:03:55
389000 -- (-579.637) [-541.498] (-561.018) (-562.053) * (-562.521) (-558.665) [-538.343] (-557.350) -- 0:03:54
390000 -- (-569.531) [-538.747] (-561.892) (-566.006) * (-560.977) (-567.216) [-536.345] (-557.768) -- 0:03:53
Average standard deviation of split frequencies: 0.011463
391000 -- (-562.290) [-538.713] (-562.950) (-572.009) * (-567.125) (-568.760) [-541.973] (-556.086) -- 0:03:53
392000 -- (-559.279) [-537.546] (-559.810) (-571.592) * (-570.675) (-574.575) [-541.415] (-560.361) -- 0:03:52
393000 -- (-567.370) [-538.043] (-571.739) (-567.632) * (-565.830) (-571.020) [-537.000] (-562.101) -- 0:03:51
394000 -- (-570.521) [-543.368] (-561.643) (-572.751) * (-568.721) (-567.383) [-539.089] (-574.876) -- 0:03:52
395000 -- (-566.454) [-538.252] (-575.499) (-570.528) * (-571.065) (-586.396) [-541.510] (-564.291) -- 0:03:51
Average standard deviation of split frequencies: 0.011296
396000 -- (-567.473) [-542.997] (-564.444) (-572.225) * (-567.540) (-565.493) [-544.009] (-567.590) -- 0:03:51
397000 -- (-563.806) [-543.311] (-560.821) (-577.562) * (-570.467) (-573.184) [-540.006] (-562.491) -- 0:03:50
398000 -- (-579.568) [-544.075] (-553.186) (-569.112) * (-571.551) (-564.837) [-538.482] (-566.408) -- 0:03:49
399000 -- (-577.645) [-544.844] (-566.739) (-576.984) * (-568.164) (-564.228) [-538.805] (-564.075) -- 0:03:50
400000 -- (-576.283) [-537.266] (-560.278) (-566.611) * (-567.340) (-563.588) [-544.098] (-575.791) -- 0:03:49
Average standard deviation of split frequencies: 0.011190
401000 -- (-567.587) [-538.500] (-563.660) (-572.671) * (-574.658) (-561.417) [-545.006] (-562.603) -- 0:03:48
402000 -- (-575.304) [-550.802] (-570.717) (-568.118) * (-563.928) (-559.830) [-540.411] (-557.512) -- 0:03:49
403000 -- (-565.322) [-540.241] (-562.607) (-569.160) * (-555.261) (-572.156) [-541.382] (-558.803) -- 0:03:48
404000 -- (-579.555) [-544.720] (-570.579) (-564.616) * (-558.817) (-559.682) [-549.051] (-564.040) -- 0:03:48
405000 -- (-571.024) [-543.661] (-556.974) (-571.258) * (-558.082) (-569.492) [-542.889] (-564.318) -- 0:03:47
Average standard deviation of split frequencies: 0.010545
406000 -- (-574.034) [-543.639] (-562.198) (-572.238) * (-563.795) (-562.531) [-543.201] (-580.274) -- 0:03:46
407000 -- (-579.777) [-538.867] (-561.070) (-594.268) * (-579.237) (-563.760) [-544.117] (-571.512) -- 0:03:47
408000 -- (-574.776) [-540.974] (-558.318) (-573.855) * (-576.648) (-558.829) [-538.825] (-563.201) -- 0:03:46
409000 -- (-569.659) [-541.417] (-557.768) (-566.112) * (-576.879) (-558.099) [-542.469] (-560.676) -- 0:03:46
410000 -- (-562.477) [-537.441] (-561.493) (-563.489) * (-577.325) (-574.888) [-537.638] (-561.127) -- 0:03:45
Average standard deviation of split frequencies: 0.010380
411000 -- (-564.402) [-539.313] (-559.668) (-583.085) * (-580.085) (-560.959) [-542.745] (-555.464) -- 0:03:44
412000 -- (-563.445) [-544.023] (-557.886) (-573.406) * (-574.723) (-558.212) [-538.285] (-557.393) -- 0:03:45
413000 -- (-569.011) [-544.353] (-562.076) (-562.213) * (-574.526) (-558.785) [-538.948] (-555.843) -- 0:03:44
414000 -- (-562.715) [-545.881] (-557.926) (-567.037) * (-577.119) (-565.414) [-539.016] (-564.866) -- 0:03:43
415000 -- (-561.850) [-535.186] (-559.032) (-567.490) * (-569.979) (-558.311) [-538.779] (-556.777) -- 0:03:44
Average standard deviation of split frequencies: 0.010677
416000 -- (-562.813) [-543.947] (-562.388) (-561.017) * (-561.417) (-556.432) [-540.153] (-566.657) -- 0:03:43
417000 -- (-569.839) [-543.931] (-558.706) (-572.932) * (-574.560) (-566.363) [-542.467] (-575.887) -- 0:03:43
418000 -- (-572.270) [-541.874] (-568.252) (-565.057) * (-565.950) (-564.078) [-539.662] (-567.431) -- 0:03:42
419000 -- (-575.526) [-544.219] (-565.391) (-576.617) * (-561.945) (-560.172) [-540.425] (-565.375) -- 0:03:41
420000 -- (-582.780) [-549.375] (-556.665) (-564.359) * (-575.060) (-563.536) [-545.171] (-573.575) -- 0:03:42
Average standard deviation of split frequencies: 0.010792
421000 -- (-582.450) [-537.706] (-551.347) (-566.756) * (-573.105) (-563.794) [-543.485] (-564.442) -- 0:03:41
422000 -- (-574.485) [-540.569] (-560.297) (-570.883) * (-571.137) (-562.827) [-538.232] (-566.054) -- 0:03:40
423000 -- (-572.431) [-544.942] (-557.495) (-570.353) * (-565.322) (-564.356) [-545.022] (-572.061) -- 0:03:40
424000 -- (-581.768) [-541.591] (-565.384) (-562.747) * (-569.287) (-564.976) [-544.020] (-558.415) -- 0:03:40
425000 -- (-590.437) [-547.477] (-560.869) (-562.679) * (-557.816) (-562.584) [-539.120] (-556.717) -- 0:03:40
Average standard deviation of split frequencies: 0.010524
426000 -- (-567.160) [-540.601] (-555.375) (-564.861) * (-563.826) (-562.404) [-541.654] (-567.471) -- 0:03:39
427000 -- (-559.771) [-541.700] (-556.376) (-569.503) * (-568.505) (-564.473) [-542.833] (-566.270) -- 0:03:38
428000 -- (-562.922) [-536.122] (-560.949) (-568.192) * (-560.996) (-573.125) [-538.053] (-572.505) -- 0:03:39
429000 -- (-576.798) [-547.541] (-565.995) (-561.724) * (-573.632) (-568.476) [-539.002] (-565.869) -- 0:03:38
430000 -- (-574.676) [-539.176] (-572.407) (-568.776) * (-564.767) (-577.955) [-537.722] (-560.925) -- 0:03:37
Average standard deviation of split frequencies: 0.010732
431000 -- (-580.846) [-538.687] (-557.644) (-570.682) * (-574.224) (-578.147) [-542.947] (-555.459) -- 0:03:37
432000 -- (-571.151) [-543.434] (-567.021) (-575.480) * (-562.560) (-589.787) [-543.683] (-559.074) -- 0:03:36
433000 -- (-589.387) [-544.346] (-562.259) (-571.878) * (-559.548) (-576.724) [-539.505] (-555.072) -- 0:03:37
434000 -- (-573.650) [-539.739] (-567.685) (-560.394) * (-562.185) (-559.376) [-538.752] (-568.390) -- 0:03:36
435000 -- (-569.752) [-540.221] (-557.502) (-560.281) * (-564.540) (-579.884) [-541.285] (-576.708) -- 0:03:35
Average standard deviation of split frequencies: 0.010671
436000 -- (-571.789) [-541.782] (-560.047) (-567.920) * (-558.091) (-573.665) [-543.663] (-560.275) -- 0:03:36
437000 -- (-575.625) [-546.854] (-558.777) (-563.535) * (-571.397) (-563.769) [-547.844] (-571.269) -- 0:03:35
438000 -- (-560.396) [-540.533] (-558.608) (-570.747) * (-569.210) (-569.020) [-544.904] (-569.889) -- 0:03:34
439000 -- (-565.843) [-539.217] (-558.184) (-561.362) * (-567.698) (-563.906) [-548.822] (-560.677) -- 0:03:34
440000 -- (-565.128) [-542.742] (-564.724) (-562.461) * (-567.199) (-562.403) [-536.906] (-563.826) -- 0:03:33
Average standard deviation of split frequencies: 0.010907
441000 -- (-565.576) [-538.547] (-556.315) (-558.491) * (-566.917) (-567.211) [-540.777] (-566.475) -- 0:03:32
442000 -- (-563.179) [-540.035] (-568.962) (-570.079) * (-558.649) (-571.029) [-547.975] (-568.598) -- 0:03:33
443000 -- (-578.790) [-541.337] (-553.954) (-577.933) * (-555.477) (-566.144) [-541.439] (-563.283) -- 0:03:32
444000 -- (-585.808) [-539.722] (-552.175) (-579.059) * (-563.402) (-566.950) [-537.854] (-564.630) -- 0:03:32
445000 -- (-578.687) [-538.221] (-556.350) (-559.618) * (-571.948) (-572.119) [-536.943] (-573.813) -- 0:03:32
Average standard deviation of split frequencies: 0.010095
446000 -- (-575.041) [-543.587] (-561.596) (-572.196) * (-570.677) (-563.053) [-541.397] (-565.196) -- 0:03:31
447000 -- (-575.547) [-538.982] (-557.581) (-569.124) * (-559.880) (-560.750) [-536.318] (-573.418) -- 0:03:31
448000 -- (-579.637) [-542.978] (-554.857) (-574.465) * (-566.985) (-566.832) [-539.020] (-565.997) -- 0:03:30
449000 -- (-562.328) [-544.754] (-556.242) (-575.418) * (-571.919) (-566.595) [-536.046] (-562.729) -- 0:03:29
450000 -- (-559.168) [-540.794] (-560.248) (-572.700) * (-564.827) (-567.197) [-546.882] (-558.320) -- 0:03:30
Average standard deviation of split frequencies: 0.010165
451000 -- (-566.754) [-541.248] (-560.488) (-571.525) * (-561.799) (-568.968) [-540.400] (-564.020) -- 0:03:29
452000 -- (-565.072) [-545.232] (-572.946) (-562.786) * (-563.633) (-563.526) [-538.028] (-576.741) -- 0:03:29
453000 -- (-566.700) [-544.116] (-560.481) (-585.790) * (-567.358) (-573.435) [-540.745] (-575.323) -- 0:03:28
454000 -- (-562.291) [-541.867] (-559.950) (-571.891) * (-568.017) (-564.456) [-548.453] (-560.276) -- 0:03:28
455000 -- (-565.945) [-547.167] (-572.325) (-563.961) * (-565.812) (-563.363) [-542.902] (-561.775) -- 0:03:28
Average standard deviation of split frequencies: 0.009956
456000 -- (-566.688) [-545.504] (-553.819) (-560.107) * (-559.240) (-568.814) [-539.640] (-556.644) -- 0:03:27
457000 -- (-563.258) [-543.825] (-562.193) (-569.087) * (-561.678) (-571.897) [-542.622] (-560.356) -- 0:03:26
458000 -- (-575.068) [-541.045] (-564.463) (-565.173) * (-570.687) (-577.740) [-545.767] (-554.957) -- 0:03:27
459000 -- (-578.656) [-541.023] (-565.715) (-562.723) * (-568.270) (-572.876) [-543.323] (-569.619) -- 0:03:26
460000 -- (-574.052) [-545.361] (-564.512) (-574.727) * (-567.331) (-565.816) [-543.627] (-554.329) -- 0:03:26
Average standard deviation of split frequencies: 0.010233
461000 -- (-560.896) [-542.621] (-566.357) (-556.296) * (-562.777) (-561.860) [-538.832] (-560.192) -- 0:03:25
462000 -- (-556.250) [-544.974] (-572.996) (-570.672) * (-562.762) (-563.790) [-539.936] (-550.362) -- 0:03:24
463000 -- (-559.056) [-539.851] (-571.004) (-580.730) * (-568.823) (-555.743) [-540.831] (-565.456) -- 0:03:25
464000 -- (-565.581) [-540.368] (-563.249) (-568.496) * (-557.451) (-575.295) [-541.065] (-572.997) -- 0:03:24
465000 -- (-569.927) [-541.528] (-565.465) (-580.642) * (-565.083) (-564.630) [-545.829] (-566.070) -- 0:03:24
Average standard deviation of split frequencies: 0.010072
466000 -- (-566.738) [-539.273] (-564.046) (-579.977) * (-566.730) (-561.085) [-542.472] (-560.394) -- 0:03:23
467000 -- (-570.794) [-542.220] (-562.886) (-572.540) * (-570.230) (-561.985) [-537.700] (-563.245) -- 0:03:23
468000 -- (-566.446) [-538.572] (-562.437) (-584.816) * (-578.314) (-561.966) [-540.073] (-554.229) -- 0:03:23
469000 -- (-567.736) [-543.258] (-564.833) (-575.064) * (-567.458) (-568.897) [-539.033] (-568.586) -- 0:03:22
470000 -- (-566.640) [-537.709] (-570.645) (-574.557) * (-570.097) (-568.507) [-534.785] (-565.440) -- 0:03:21
Average standard deviation of split frequencies: 0.010016
471000 -- (-560.143) [-538.039] (-567.340) (-559.613) * (-565.988) (-559.800) [-540.242] (-567.407) -- 0:03:22
472000 -- (-563.495) [-536.709] (-559.501) (-564.272) * (-570.744) (-556.605) [-541.143] (-562.631) -- 0:03:21
473000 -- (-565.822) [-538.618] (-574.056) (-565.215) * (-568.505) (-567.078) [-549.406] (-570.456) -- 0:03:21
474000 -- (-574.742) [-541.379] (-566.732) (-568.484) * (-566.153) (-567.488) [-542.805] (-557.906) -- 0:03:20
475000 -- (-572.749) [-542.539] (-565.517) (-561.079) * (-568.409) (-562.565) [-539.654] (-563.845) -- 0:03:20
Average standard deviation of split frequencies: 0.009688
476000 -- (-570.859) [-544.470] (-572.477) (-567.035) * (-568.594) (-556.627) [-545.735] (-561.120) -- 0:03:20
477000 -- (-578.056) [-536.083] (-569.642) (-564.792) * (-578.729) (-569.016) [-546.311] (-567.768) -- 0:03:19
478000 -- (-581.870) [-534.010] (-562.654) (-567.418) * (-569.492) (-565.739) [-547.594] (-572.225) -- 0:03:18
479000 -- (-587.974) [-537.873] (-558.788) (-563.461) * (-561.245) (-567.289) [-541.273] (-580.137) -- 0:03:19
480000 -- (-580.794) [-545.515] (-554.000) (-568.570) * (-561.667) (-565.761) [-549.740] (-572.031) -- 0:03:18
Average standard deviation of split frequencies: 0.009509
481000 -- (-582.129) [-539.765] (-556.662) (-568.379) * (-559.670) (-568.292) [-538.055] (-552.184) -- 0:03:18
482000 -- (-560.665) [-537.799] (-562.821) (-571.054) * (-570.645) (-567.092) [-539.360] (-561.136) -- 0:03:17
483000 -- (-563.087) [-543.197] (-560.768) (-573.753) * (-571.567) (-562.042) [-535.313] (-562.661) -- 0:03:16
484000 -- (-558.551) [-538.556] (-559.047) (-574.389) * (-565.957) (-574.671) [-543.611] (-561.916) -- 0:03:17
485000 -- (-559.725) [-542.373] (-560.595) (-581.488) * (-560.034) (-571.707) [-541.099] (-560.603) -- 0:03:16
Average standard deviation of split frequencies: 0.009362
486000 -- (-567.429) [-539.456] (-568.918) (-571.426) * (-561.253) (-571.661) [-544.689] (-567.180) -- 0:03:16
487000 -- (-559.506) [-537.084] (-563.046) (-572.739) * (-567.805) (-561.221) [-547.835] (-570.974) -- 0:03:15
488000 -- (-563.933) [-540.161] (-561.656) (-566.495) * (-562.485) (-555.112) [-543.808] (-556.781) -- 0:03:15
489000 -- (-572.056) [-540.786] (-563.499) (-567.996) * (-558.646) (-559.477) [-545.366] (-557.713) -- 0:03:15
490000 -- (-567.125) [-537.210] (-560.022) (-576.882) * (-568.105) (-558.420) [-540.237] (-557.678) -- 0:03:14
Average standard deviation of split frequencies: 0.009252
491000 -- (-571.266) [-539.080] (-562.509) (-577.070) * (-567.838) (-555.321) [-540.577] (-556.273) -- 0:03:13
492000 -- (-567.459) [-543.770] (-572.572) (-582.723) * (-562.337) (-560.680) [-538.446] (-559.265) -- 0:03:14
493000 -- (-564.020) [-541.884] (-583.997) (-574.795) * (-566.089) (-565.963) [-554.951] (-570.427) -- 0:03:13
494000 -- (-576.958) [-538.123] (-563.555) (-571.595) * (-563.197) (-568.751) [-544.196] (-566.162) -- 0:03:13
495000 -- (-560.336) [-546.894] (-555.359) (-568.675) * (-561.623) (-564.865) [-540.783] (-558.527) -- 0:03:12
Average standard deviation of split frequencies: 0.009174
496000 -- (-569.218) [-541.660] (-565.629) (-561.164) * (-569.696) (-567.094) [-542.753] (-552.349) -- 0:03:12
497000 -- (-580.505) [-548.599] (-568.240) (-571.508) * (-578.070) (-566.619) [-541.466] (-559.127) -- 0:03:12
498000 -- (-564.452) [-539.108] (-559.958) (-589.664) * (-567.896) (-559.887) [-543.136] (-561.497) -- 0:03:11
499000 -- (-561.431) [-537.352] (-560.726) (-577.651) * (-567.615) (-558.681) [-540.768] (-563.652) -- 0:03:10
500000 -- (-562.156) [-541.667] (-564.418) (-563.772) * (-568.878) (-551.432) [-542.078] (-566.095) -- 0:03:11
Average standard deviation of split frequencies: 0.009170
501000 -- (-564.568) [-539.121] (-554.741) (-572.344) * (-570.620) (-562.189) [-541.629] (-558.596) -- 0:03:10
502000 -- (-570.779) [-540.868] (-559.064) (-571.567) * (-574.920) (-566.543) [-547.304] (-560.782) -- 0:03:10
503000 -- (-576.032) [-543.591] (-564.810) (-561.138) * (-590.570) (-568.541) [-544.405] (-562.862) -- 0:03:09
504000 -- (-572.367) [-538.735] (-567.922) (-570.679) * (-583.632) (-567.413) [-538.976] (-562.632) -- 0:03:08
505000 -- (-566.482) [-539.086] (-558.565) (-573.330) * (-563.088) (-558.772) [-541.386] (-557.880) -- 0:03:09
Average standard deviation of split frequencies: 0.009098
506000 -- (-560.927) [-541.822] (-561.362) (-576.311) * (-570.701) (-562.076) [-536.408] (-561.731) -- 0:03:08
507000 -- (-558.822) [-541.113] (-570.204) (-572.307) * (-562.574) (-563.896) [-536.389] (-561.751) -- 0:03:08
508000 -- (-563.236) [-541.052] (-561.999) (-564.728) * (-567.381) (-557.212) [-545.692] (-558.326) -- 0:03:07
509000 -- (-571.243) [-540.227] (-569.200) (-570.339) * (-565.275) (-559.830) [-536.090] (-562.025) -- 0:03:07
510000 -- (-562.758) [-548.355] (-561.839) (-573.193) * (-575.471) (-558.317) [-540.123] (-565.883) -- 0:03:07
Average standard deviation of split frequencies: 0.009311
511000 -- (-568.971) [-540.131] (-554.016) (-575.483) * (-568.473) (-567.134) [-538.581] (-562.118) -- 0:03:06
512000 -- (-568.941) [-544.567] (-557.016) (-569.264) * (-566.029) (-557.530) [-538.732] (-567.851) -- 0:03:05
513000 -- (-557.737) [-538.437] (-547.842) (-575.492) * (-558.597) (-559.211) [-536.970] (-557.776) -- 0:03:06
514000 -- (-565.580) [-544.105] (-560.571) (-560.633) * (-568.440) (-564.601) [-545.028] (-576.339) -- 0:03:05
515000 -- (-564.051) [-541.880] (-574.394) (-571.005) * (-557.588) (-561.441) [-542.254] (-570.392) -- 0:03:05
Average standard deviation of split frequencies: 0.008937
516000 -- (-570.136) [-540.057] (-562.532) (-567.839) * (-559.700) (-568.912) [-548.003] (-563.715) -- 0:03:04
517000 -- (-581.605) [-535.355] (-564.222) (-556.930) * (-563.508) (-562.960) [-553.190] (-559.301) -- 0:03:04
518000 -- (-569.836) [-537.926] (-563.862) (-569.985) * (-564.155) (-561.544) [-543.734] (-557.589) -- 0:03:04
519000 -- (-566.660) [-536.099] (-556.945) (-571.257) * (-564.986) (-561.664) [-542.878] (-560.538) -- 0:03:03
520000 -- (-559.835) [-534.696] (-561.772) (-571.864) * (-563.986) (-569.528) [-540.094] (-552.397) -- 0:03:02
Average standard deviation of split frequencies: 0.008404
521000 -- (-575.114) [-540.791] (-566.244) (-568.797) * (-559.769) (-563.245) [-541.662] (-567.506) -- 0:03:02
522000 -- (-563.795) [-540.569] (-569.954) (-559.766) * (-566.525) (-565.287) [-542.698] (-563.026) -- 0:03:02
523000 -- (-565.637) [-541.708] (-553.505) (-564.341) * (-566.565) (-573.193) [-542.773] (-555.106) -- 0:03:02
524000 -- (-566.394) [-543.176] (-559.637) (-572.251) * (-570.627) (-556.003) [-537.672] (-557.776) -- 0:03:01
525000 -- (-577.609) [-538.318] (-558.273) (-577.768) * (-562.371) (-563.903) [-546.724] (-555.109) -- 0:03:00
Average standard deviation of split frequencies: 0.008475
526000 -- (-566.087) [-543.552] (-562.093) (-567.454) * (-560.399) (-565.153) [-538.019] (-557.894) -- 0:03:01
527000 -- (-570.539) [-539.500] (-558.401) (-566.864) * (-556.827) (-577.065) [-540.193] (-561.518) -- 0:03:00
528000 -- (-570.173) [-540.708] (-559.590) (-584.577) * (-569.786) (-573.457) [-544.480] (-559.129) -- 0:02:59
529000 -- (-571.554) [-539.622] (-558.251) (-574.271) * (-558.312) (-560.007) [-545.521] (-564.516) -- 0:02:59
530000 -- (-574.430) [-546.810] (-563.166) (-569.735) * (-560.455) (-562.356) [-542.093] (-587.670) -- 0:02:59
Average standard deviation of split frequencies: 0.008555
531000 -- (-571.145) [-553.038] (-556.149) (-573.080) * (-569.223) (-568.858) [-543.945] (-569.042) -- 0:02:59
532000 -- (-569.589) [-545.799] (-559.867) (-589.115) * (-562.716) (-566.958) [-540.554] (-561.769) -- 0:02:58
533000 -- (-561.155) [-537.682] (-567.482) (-570.689) * (-572.461) (-565.412) [-542.339] (-564.044) -- 0:02:57
534000 -- (-565.925) [-539.063] (-575.913) (-567.539) * (-554.103) (-564.740) [-544.352] (-559.557) -- 0:02:58
535000 -- (-577.125) [-545.121] (-564.080) (-566.278) * (-558.645) (-565.610) [-541.780] (-566.534) -- 0:02:57
Average standard deviation of split frequencies: 0.008585
536000 -- (-572.264) [-541.517] (-563.409) (-563.099) * (-560.914) (-567.866) [-542.393] (-570.373) -- 0:02:57
537000 -- (-574.424) [-537.289] (-563.991) (-563.536) * (-571.028) (-565.607) [-542.081] (-565.765) -- 0:02:56
538000 -- (-579.626) [-548.282] (-566.181) (-568.033) * (-567.171) (-568.258) [-537.019] (-564.188) -- 0:02:56
539000 -- (-576.629) [-539.977] (-565.921) (-559.926) * (-564.725) (-560.018) [-539.377] (-564.182) -- 0:02:56
540000 -- (-571.261) [-540.458] (-563.685) (-571.171) * (-556.308) (-558.558) [-540.221] (-561.443) -- 0:02:55
Average standard deviation of split frequencies: 0.008548
541000 -- (-575.640) [-541.370] (-565.472) (-564.851) * (-564.417) (-556.046) [-549.134] (-569.653) -- 0:02:54
542000 -- (-571.138) [-547.859] (-564.264) (-566.607) * (-557.579) (-559.344) [-538.441] (-561.581) -- 0:02:54
543000 -- (-567.522) [-541.962] (-559.425) (-569.696) * (-568.025) (-564.262) [-536.858] (-562.814) -- 0:02:54
544000 -- (-563.103) [-539.737] (-563.947) (-571.695) * (-557.689) (-560.637) [-543.418] (-579.312) -- 0:02:54
545000 -- (-566.626) [-539.750] (-559.701) (-573.319) * (-558.576) (-555.821) [-542.559] (-564.029) -- 0:02:53
Average standard deviation of split frequencies: 0.008258
546000 -- (-567.409) [-541.240] (-566.518) (-566.521) * (-560.300) (-564.463) [-542.442] (-556.948) -- 0:02:52
547000 -- (-564.342) [-545.180] (-556.970) (-568.728) * (-562.112) (-559.833) [-539.624] (-568.136) -- 0:02:53
548000 -- (-561.184) [-537.196] (-568.654) (-563.571) * (-565.959) (-556.259) [-545.003] (-559.354) -- 0:02:52
549000 -- (-567.670) [-539.483] (-562.663) (-566.413) * (-562.513) (-569.773) [-541.459] (-561.286) -- 0:02:52
550000 -- (-575.306) [-537.551] (-564.796) (-562.813) * (-560.134) (-577.129) [-542.047] (-565.255) -- 0:02:51
Average standard deviation of split frequencies: 0.007909
551000 -- (-562.898) [-540.365] (-584.325) (-571.513) * (-558.475) (-565.909) [-548.582] (-556.421) -- 0:02:51
552000 -- (-571.327) [-538.914] (-564.460) (-558.093) * (-559.337) (-561.201) [-540.355] (-557.166) -- 0:02:51
553000 -- (-572.422) [-541.074] (-562.614) (-565.694) * (-570.843) (-559.570) [-543.951] (-557.824) -- 0:02:50
554000 -- (-571.498) [-544.871] (-574.358) (-568.528) * (-569.149) (-578.360) [-538.475] (-556.281) -- 0:02:49
555000 -- (-566.412) [-544.232] (-564.418) (-570.262) * (-567.047) (-579.457) [-544.269] (-558.424) -- 0:02:49
Average standard deviation of split frequencies: 0.007962
556000 -- (-573.152) [-538.176] (-560.117) (-568.373) * (-561.783) (-566.284) [-534.216] (-556.453) -- 0:02:49
557000 -- (-580.838) [-541.721] (-565.314) (-561.005) * (-560.565) (-572.485) [-539.742] (-553.373) -- 0:02:49
558000 -- (-582.585) [-540.495] (-579.931) (-568.026) * (-566.011) (-564.587) [-544.685] (-550.524) -- 0:02:48
559000 -- (-565.347) [-537.383] (-568.004) (-580.574) * (-563.873) (-566.520) [-543.076] (-555.663) -- 0:02:48
560000 -- (-570.540) [-539.152] (-565.156) (-570.710) * (-561.114) (-568.574) [-540.173] (-562.212) -- 0:02:48
Average standard deviation of split frequencies: 0.008170
561000 -- (-558.976) [-539.527] (-579.371) (-562.760) * (-589.960) (-566.577) [-542.129] (-566.657) -- 0:02:47
562000 -- (-559.559) [-533.821] (-555.529) (-574.137) * (-563.424) (-561.039) [-547.276] (-569.971) -- 0:02:47
563000 -- (-564.382) [-543.470] (-559.685) (-561.713) * (-566.475) (-566.429) [-544.645] (-576.588) -- 0:02:46
564000 -- (-570.498) [-539.713] (-560.768) (-574.821) * (-573.048) (-567.345) [-541.066] (-564.151) -- 0:02:46
565000 -- (-564.854) [-542.942] (-562.160) (-562.666) * (-565.920) (-561.866) [-540.616] (-563.398) -- 0:02:46
Average standard deviation of split frequencies: 0.007930
566000 -- (-571.901) [-542.624] (-577.581) (-572.470) * (-576.144) (-571.400) [-536.340] (-557.512) -- 0:02:45
567000 -- (-571.584) [-540.723] (-569.702) (-586.154) * (-561.517) (-580.599) [-539.460] (-556.343) -- 0:02:44
568000 -- (-582.325) [-549.843] (-558.263) (-575.801) * (-563.766) (-565.015) [-537.672] (-557.799) -- 0:02:45
569000 -- (-579.544) [-541.356] (-561.558) (-575.914) * (-562.316) (-565.139) [-546.255] (-559.586) -- 0:02:44
570000 -- (-575.346) [-537.352] (-575.661) (-584.189) * (-575.840) (-563.257) [-535.512] (-563.670) -- 0:02:44
Average standard deviation of split frequencies: 0.007991
571000 -- (-571.762) [-541.235] (-563.441) (-593.424) * (-573.054) (-562.431) [-538.346] (-565.535) -- 0:02:43
572000 -- (-571.129) [-542.257] (-557.016) (-569.710) * (-561.636) (-566.490) [-537.621] (-574.261) -- 0:02:43
573000 -- (-569.075) [-538.449] (-567.355) (-554.861) * (-566.887) (-555.362) [-533.575] (-561.901) -- 0:02:43
574000 -- (-564.238) [-546.615] (-568.801) (-563.984) * (-559.857) (-563.292) [-536.366] (-561.081) -- 0:02:42
575000 -- (-567.101) [-538.919] (-561.701) (-571.112) * (-567.234) (-555.661) [-547.817] (-569.984) -- 0:02:42
Average standard deviation of split frequencies: 0.007810
576000 -- (-563.402) [-541.891] (-567.394) (-569.571) * (-561.152) (-562.284) [-543.254] (-566.061) -- 0:02:41
577000 -- (-565.385) [-538.768] (-567.473) (-569.792) * (-559.314) (-559.717) [-541.029] (-571.025) -- 0:02:41
578000 -- (-587.590) [-546.676] (-562.266) (-561.590) * (-565.678) (-568.247) [-544.127] (-565.998) -- 0:02:41
579000 -- (-569.331) [-541.970] (-556.563) (-564.554) * (-563.524) (-564.450) [-540.868] (-558.171) -- 0:02:40
580000 -- (-560.396) [-544.233] (-560.471) (-568.108) * (-567.831) (-573.322) [-539.435] (-559.211) -- 0:02:40
Average standard deviation of split frequencies: 0.007897
581000 -- (-569.825) [-539.838] (-565.076) (-568.592) * (-569.771) (-567.514) [-541.488] (-562.713) -- 0:02:40
582000 -- (-560.274) [-548.693] (-569.017) (-562.847) * (-571.097) (-563.838) [-542.727] (-554.545) -- 0:02:39
583000 -- (-570.437) [-541.887] (-573.999) (-568.284) * (-568.941) (-583.395) [-545.211] (-556.855) -- 0:02:39
584000 -- (-565.727) [-539.032] (-566.002) (-586.539) * (-566.902) (-565.120) [-542.673] (-555.187) -- 0:02:38
585000 -- (-569.685) [-536.261] (-570.942) (-571.831) * (-561.724) (-565.104) [-543.578] (-563.692) -- 0:02:38
Average standard deviation of split frequencies: 0.007362
586000 -- (-569.093) [-535.885] (-579.647) (-560.308) * (-559.925) (-557.461) [-541.532] (-564.492) -- 0:02:38
587000 -- (-569.896) [-549.557] (-572.066) (-568.644) * (-567.467) (-566.607) [-548.656] (-561.236) -- 0:02:37
588000 -- (-570.647) [-543.535] (-564.188) (-574.363) * (-566.151) (-560.624) [-542.586] (-566.014) -- 0:02:36
589000 -- (-564.859) [-545.340] (-559.356) (-574.450) * (-557.599) (-569.073) [-540.354] (-559.152) -- 0:02:37
590000 -- (-562.574) [-545.135] (-558.204) (-577.583) * (-564.791) (-566.935) [-554.464] (-564.091) -- 0:02:36
Average standard deviation of split frequencies: 0.007715
591000 -- (-563.890) [-541.716] (-560.180) (-567.638) * (-567.335) (-573.576) [-542.220] (-568.354) -- 0:02:36
592000 -- (-565.266) [-550.538] (-555.087) (-573.086) * (-565.189) (-562.182) [-539.535] (-563.744) -- 0:02:35
593000 -- (-565.359) [-545.410] (-561.080) (-572.990) * (-557.522) (-567.526) [-539.704] (-555.210) -- 0:02:35
594000 -- (-575.015) [-547.997] (-554.706) (-566.639) * (-565.183) (-568.362) [-538.808] (-563.967) -- 0:02:35
595000 -- (-564.659) [-542.050] (-562.588) (-574.566) * (-569.878) (-567.633) [-540.812] (-560.584) -- 0:02:34
Average standard deviation of split frequencies: 0.007945
596000 -- (-563.570) [-544.148] (-568.776) (-570.652) * (-565.414) (-579.054) [-542.520] (-572.379) -- 0:02:33
597000 -- (-571.096) [-546.179] (-560.624) (-569.231) * (-563.404) (-581.257) [-537.513] (-569.999) -- 0:02:33
598000 -- (-572.639) [-549.635] (-563.319) (-565.335) * (-572.192) (-569.209) [-548.788] (-560.981) -- 0:02:33
599000 -- (-567.277) [-547.257] (-559.648) (-565.725) * (-572.773) (-566.058) [-545.064] (-566.936) -- 0:02:33
600000 -- (-562.298) [-548.538] (-558.137) (-571.191) * (-568.558) (-563.763) [-546.808] (-554.240) -- 0:02:32
Average standard deviation of split frequencies: 0.008075
601000 -- (-560.765) [-540.782] (-567.406) (-582.636) * (-566.645) (-570.538) [-545.406] (-555.506) -- 0:02:32
602000 -- (-567.828) [-539.480] (-562.324) (-563.583) * (-577.394) (-562.594) [-540.819] (-559.302) -- 0:02:32
603000 -- (-576.946) [-538.141] (-565.549) (-573.459) * (-564.437) (-561.467) [-544.280] (-570.895) -- 0:02:31
604000 -- (-570.109) [-545.346] (-555.229) (-572.009) * (-571.357) (-570.206) [-544.622] (-565.765) -- 0:02:30
605000 -- (-564.220) [-544.703] (-556.623) (-565.622) * (-572.964) (-574.578) [-541.132] (-560.408) -- 0:02:30
Average standard deviation of split frequencies: 0.008083
606000 -- (-557.949) [-543.175] (-563.278) (-575.536) * (-563.291) (-573.560) [-540.338] (-567.530) -- 0:02:30
607000 -- (-565.227) [-551.291] (-559.073) (-570.693) * (-556.433) (-576.420) [-542.808] (-565.032) -- 0:02:30
608000 -- (-568.358) [-541.942] (-562.538) (-571.485) * (-556.565) (-573.122) [-539.425] (-560.966) -- 0:02:29
609000 -- (-568.415) [-544.849] (-570.143) (-582.834) * (-563.271) (-572.045) [-536.083] (-561.582) -- 0:02:28
610000 -- (-564.404) [-546.598] (-570.173) (-572.948) * (-558.913) (-569.320) [-536.191] (-560.394) -- 0:02:28
Average standard deviation of split frequencies: 0.008337
611000 -- (-559.654) [-540.883] (-566.295) (-575.550) * (-562.890) (-570.060) [-539.178] (-569.780) -- 0:02:28
612000 -- (-564.134) [-537.621] (-575.478) (-578.554) * (-562.309) (-575.967) [-539.106] (-560.249) -- 0:02:28
613000 -- (-567.260) [-545.585] (-578.372) (-574.589) * (-562.255) (-576.363) [-544.531] (-555.876) -- 0:02:27
614000 -- (-567.053) [-542.074] (-554.543) (-591.662) * (-563.318) (-567.053) [-537.698] (-554.641) -- 0:02:27
615000 -- (-562.241) [-545.278] (-557.621) (-591.421) * (-558.641) (-576.851) [-534.564] (-569.612) -- 0:02:27
Average standard deviation of split frequencies: 0.008214
616000 -- (-567.846) [-548.065] (-567.961) (-566.776) * (-559.461) (-563.660) [-538.171] (-562.416) -- 0:02:26
617000 -- (-556.134) [-534.429] (-563.287) (-574.925) * (-560.775) (-569.873) [-537.838] (-557.048) -- 0:02:25
618000 -- (-564.064) [-543.871] (-569.231) (-560.048) * (-565.500) (-558.929) [-543.177] (-556.879) -- 0:02:25
619000 -- (-579.872) [-544.055] (-557.980) (-564.472) * (-563.921) (-567.780) [-542.087] (-554.711) -- 0:02:25
620000 -- (-571.740) [-539.809] (-558.918) (-568.105) * (-559.713) (-571.103) [-541.143] (-556.608) -- 0:02:25
Average standard deviation of split frequencies: 0.008051
621000 -- (-566.928) [-542.796] (-562.635) (-577.560) * (-567.639) (-575.232) [-544.027] (-564.702) -- 0:02:24
622000 -- (-565.777) [-538.682] (-557.824) (-567.563) * (-558.705) (-574.996) [-543.157] (-554.984) -- 0:02:24
623000 -- (-554.638) [-543.179] (-561.627) (-563.719) * (-559.201) (-565.770) [-543.025] (-572.266) -- 0:02:24
624000 -- (-571.901) [-542.555] (-566.122) (-568.750) * (-560.871) (-574.376) [-539.238] (-570.589) -- 0:02:23
625000 -- (-574.888) [-539.194] (-562.208) (-561.231) * (-565.562) (-562.343) [-544.388] (-563.000) -- 0:02:22
Average standard deviation of split frequencies: 0.008099
626000 -- (-560.963) [-540.029] (-563.845) (-563.991) * (-563.126) (-563.504) [-543.082] (-565.069) -- 0:02:22
627000 -- (-565.316) [-544.630] (-566.166) (-573.175) * (-571.192) (-563.974) [-538.044] (-557.497) -- 0:02:22
628000 -- (-566.758) [-538.089] (-579.082) (-580.875) * (-563.414) (-565.908) [-542.038] (-558.017) -- 0:02:22
629000 -- (-574.953) [-540.103] (-572.767) (-569.257) * (-575.097) (-566.489) [-545.885] (-562.158) -- 0:02:21
630000 -- (-566.521) [-539.887] (-560.732) (-570.262) * (-566.081) (-558.035) [-556.779] (-571.039) -- 0:02:20
Average standard deviation of split frequencies: 0.008023
631000 -- (-570.142) [-540.778] (-562.568) (-566.835) * (-559.209) (-560.856) [-547.911] (-566.642) -- 0:02:20
632000 -- (-574.786) [-543.081] (-559.203) (-574.824) * (-561.063) (-555.850) [-547.468] (-561.809) -- 0:02:20
633000 -- (-566.948) [-541.660] (-567.428) (-580.565) * (-565.940) (-562.149) [-552.657] (-570.129) -- 0:02:19
634000 -- (-570.979) [-547.599] (-564.745) (-582.150) * (-566.445) (-562.590) [-537.251] (-562.830) -- 0:02:19
635000 -- (-570.065) [-542.807] (-565.643) (-566.426) * (-566.327) (-565.960) [-541.299] (-571.130) -- 0:02:19
Average standard deviation of split frequencies: 0.007992
636000 -- (-565.741) [-541.045] (-574.783) (-574.481) * (-560.099) (-556.919) [-539.826] (-565.737) -- 0:02:19
637000 -- (-564.722) [-549.238] (-575.623) (-567.013) * (-567.950) (-576.658) [-539.530] (-567.322) -- 0:02:18
638000 -- (-572.140) [-544.491] (-557.530) (-564.530) * (-576.460) (-556.938) [-539.174] (-569.235) -- 0:02:17
639000 -- (-565.354) [-544.015] (-576.206) (-573.026) * (-568.354) (-556.977) [-535.714] (-560.211) -- 0:02:17
640000 -- (-563.808) [-546.130] (-567.699) (-568.299) * (-583.017) (-567.708) [-537.104] (-557.017) -- 0:02:17
Average standard deviation of split frequencies: 0.008111
641000 -- (-582.641) [-540.128] (-556.861) (-574.199) * (-578.041) (-567.632) [-535.530] (-559.130) -- 0:02:16
642000 -- (-579.749) [-541.710] (-568.331) (-564.957) * (-580.552) (-571.017) [-540.445] (-566.210) -- 0:02:16
643000 -- (-571.519) [-536.786] (-564.667) (-568.787) * (-568.613) (-560.902) [-539.730] (-568.424) -- 0:02:16
644000 -- (-562.995) [-544.374] (-563.007) (-561.747) * (-561.388) (-563.548) [-537.451] (-557.590) -- 0:02:15
645000 -- (-564.713) [-545.690] (-559.753) (-573.904) * (-573.678) (-573.067) [-538.331] (-559.859) -- 0:02:15
Average standard deviation of split frequencies: 0.007995
646000 -- (-568.574) [-552.232] (-572.955) (-571.248) * (-559.936) (-568.377) [-545.822] (-562.223) -- 0:02:14
647000 -- (-563.998) [-552.915] (-558.157) (-572.041) * (-568.346) (-561.637) [-543.704] (-561.527) -- 0:02:14
648000 -- (-567.747) [-546.755] (-562.700) (-573.809) * (-565.528) (-559.081) [-547.670] (-561.593) -- 0:02:14
649000 -- (-566.301) [-540.633] (-561.648) (-570.550) * (-565.770) (-572.324) [-538.283] (-565.632) -- 0:02:13
650000 -- (-564.538) [-543.804] (-560.471) (-572.812) * (-566.762) (-560.773) [-543.641] (-564.583) -- 0:02:13
Average standard deviation of split frequencies: 0.008002
651000 -- (-575.300) [-542.343] (-556.639) (-579.788) * (-559.708) (-568.128) [-536.925] (-579.317) -- 0:02:12
652000 -- (-584.039) [-545.516] (-551.973) (-557.735) * (-563.992) (-568.989) [-537.281] (-570.490) -- 0:02:12
653000 -- (-582.432) [-541.349] (-554.235) (-564.119) * (-563.490) (-570.896) [-547.307] (-571.696) -- 0:02:12
654000 -- (-571.074) [-541.504] (-564.376) (-561.575) * (-562.640) (-565.468) [-541.612] (-575.651) -- 0:02:11
655000 -- (-566.599) [-538.480] (-563.736) (-566.429) * (-561.716) (-568.251) [-541.776] (-570.619) -- 0:02:11
Average standard deviation of split frequencies: 0.008240
656000 -- (-569.740) [-542.218] (-552.533) (-571.305) * (-569.845) (-572.398) [-542.972] (-563.233) -- 0:02:11
657000 -- (-574.000) [-538.517] (-562.633) (-576.440) * (-564.408) (-556.462) [-539.921] (-570.883) -- 0:02:11
658000 -- (-569.585) [-539.481] (-579.256) (-558.654) * (-573.636) (-568.474) [-544.067] (-558.807) -- 0:02:10
659000 -- (-568.827) [-541.380] (-578.286) (-563.964) * (-574.636) (-566.290) [-539.240] (-565.515) -- 0:02:09
660000 -- (-561.706) [-539.276] (-568.713) (-567.316) * (-562.392) (-570.524) [-543.683] (-565.487) -- 0:02:09
Average standard deviation of split frequencies: 0.008166
661000 -- (-573.227) [-539.474] (-565.721) (-561.505) * (-579.177) (-558.888) [-542.917] (-554.336) -- 0:02:09
662000 -- (-569.602) [-538.331] (-559.869) (-559.746) * (-568.737) (-558.587) [-545.465] (-557.154) -- 0:02:08
663000 -- (-569.967) [-538.027] (-561.975) (-567.034) * (-564.860) (-559.518) [-540.792] (-562.511) -- 0:02:08
664000 -- (-568.245) [-539.387] (-575.971) (-561.728) * (-567.142) (-573.783) [-541.539] (-561.332) -- 0:02:08
665000 -- (-559.852) [-541.110] (-554.308) (-560.044) * (-561.209) (-565.283) [-539.498] (-552.459) -- 0:02:07
Average standard deviation of split frequencies: 0.008217
666000 -- (-570.112) [-545.689] (-560.549) (-563.523) * (-587.054) (-563.734) [-538.652] (-562.543) -- 0:02:07
667000 -- (-564.644) [-551.232] (-562.865) (-559.048) * (-576.241) (-568.867) [-541.428] (-559.318) -- 0:02:06
668000 -- (-572.585) [-537.471] (-565.379) (-565.515) * (-566.808) (-573.217) [-540.785] (-553.081) -- 0:02:06
669000 -- (-591.895) [-535.698] (-559.353) (-571.336) * (-563.655) (-571.691) [-539.257] (-561.076) -- 0:02:06
670000 -- (-586.284) [-534.670] (-555.127) (-566.705) * (-565.540) (-580.215) [-546.928] (-567.708) -- 0:02:05
Average standard deviation of split frequencies: 0.008175
671000 -- (-589.180) [-535.653] (-566.449) (-559.764) * (-571.997) (-566.431) [-544.376] (-560.833) -- 0:02:05
672000 -- (-577.757) [-538.487] (-563.547) (-566.248) * (-570.589) (-562.462) [-539.507] (-560.502) -- 0:02:04
673000 -- (-570.718) [-543.434] (-553.113) (-566.094) * (-573.918) (-569.821) [-541.213] (-568.756) -- 0:02:04
674000 -- (-571.611) [-546.378] (-564.754) (-568.455) * (-566.284) (-563.572) [-540.630] (-557.404) -- 0:02:04
675000 -- (-577.423) [-542.416] (-561.745) (-575.752) * (-564.634) (-575.972) [-545.644] (-566.722) -- 0:02:04
Average standard deviation of split frequencies: 0.007913
676000 -- (-579.582) [-537.540] (-554.747) (-566.001) * (-571.623) (-568.798) [-539.945] (-559.973) -- 0:02:03
677000 -- (-586.144) [-540.131] (-552.251) (-569.144) * (-560.640) (-574.866) [-537.886] (-568.414) -- 0:02:03
678000 -- (-576.960) [-542.216] (-557.309) (-566.693) * (-558.005) (-564.702) [-543.735] (-570.844) -- 0:02:03
679000 -- (-577.271) [-544.555] (-562.803) (-565.087) * (-567.047) (-559.740) [-540.409] (-571.589) -- 0:02:02
680000 -- (-586.285) [-545.140] (-573.801) (-566.528) * (-566.928) (-567.810) [-540.464] (-559.323) -- 0:02:01
Average standard deviation of split frequencies: 0.008018
681000 -- (-577.052) [-542.116] (-566.745) (-562.337) * (-571.618) (-558.777) [-544.140] (-554.478) -- 0:02:01
682000 -- (-576.763) [-543.338] (-557.822) (-562.107) * (-563.241) (-556.152) [-542.140] (-563.222) -- 0:02:01
683000 -- (-567.577) [-540.633] (-563.185) (-566.630) * (-572.105) (-554.832) [-539.741] (-559.853) -- 0:02:01
684000 -- (-571.289) [-542.698] (-564.984) (-574.250) * (-571.854) (-567.407) [-541.458] (-569.575) -- 0:02:00
685000 -- (-566.013) [-542.278] (-558.721) (-576.460) * (-573.917) (-566.122) [-539.336] (-571.154) -- 0:02:00
Average standard deviation of split frequencies: 0.008063
686000 -- (-575.444) [-548.311] (-564.207) (-568.287) * (-575.403) (-559.102) [-548.728] (-554.511) -- 0:01:59
687000 -- (-571.055) [-542.359] (-554.527) (-572.936) * (-563.512) (-561.327) [-537.280] (-558.188) -- 0:01:59
688000 -- (-562.050) [-542.358] (-556.011) (-571.666) * (-558.518) (-575.245) [-539.483] (-564.411) -- 0:01:59
689000 -- (-562.580) [-539.892] (-556.022) (-571.628) * (-567.553) (-576.127) [-536.493] (-563.679) -- 0:01:58
690000 -- (-565.151) [-539.114] (-557.260) (-577.563) * (-561.069) (-567.943) [-544.625] (-558.750) -- 0:01:58
Average standard deviation of split frequencies: 0.008054
691000 -- (-568.388) [-538.866] (-557.550) (-569.599) * (-564.296) (-572.218) [-541.318] (-562.005) -- 0:01:58
692000 -- (-575.549) [-540.461] (-563.739) (-564.793) * (-568.958) (-563.329) [-543.146] (-563.765) -- 0:01:57
693000 -- (-578.035) [-541.255] (-561.794) (-561.363) * (-563.104) (-572.492) [-538.144] (-565.696) -- 0:01:56
694000 -- (-569.092) [-536.715] (-572.724) (-560.202) * (-561.228) (-579.777) [-544.244] (-561.579) -- 0:01:56
695000 -- (-570.257) [-536.441] (-565.447) (-575.587) * (-559.576) (-565.790) [-546.404] (-565.534) -- 0:01:56
Average standard deviation of split frequencies: 0.008278
696000 -- (-587.705) [-538.386] (-555.098) (-558.381) * (-558.738) (-563.086) [-543.580] (-559.730) -- 0:01:56
697000 -- (-577.146) [-539.668] (-553.662) (-556.833) * (-565.196) (-567.435) [-544.375] (-557.107) -- 0:01:55
698000 -- (-581.580) [-545.368] (-573.249) (-558.978) * (-568.451) (-559.487) [-547.001] (-559.074) -- 0:01:55
699000 -- (-568.595) [-539.319] (-573.393) (-558.626) * (-566.958) (-572.858) [-544.897] (-556.590) -- 0:01:54
700000 -- (-587.329) [-544.167] (-559.762) (-559.606) * (-568.610) (-565.806) [-538.084] (-559.463) -- 0:01:54
Average standard deviation of split frequencies: 0.008343
701000 -- (-582.074) [-547.929] (-573.002) (-561.626) * (-570.420) (-574.136) [-541.160] (-573.057) -- 0:01:54
702000 -- (-569.964) [-536.169] (-559.634) (-567.213) * (-576.221) (-557.314) [-538.496] (-560.106) -- 0:01:53
703000 -- (-576.389) [-539.238] (-563.845) (-573.213) * (-566.514) (-561.485) [-547.312] (-563.622) -- 0:01:53
704000 -- (-573.709) [-539.693] (-560.949) (-574.470) * (-565.313) (-566.087) [-541.331] (-560.059) -- 0:01:53
705000 -- (-565.616) [-542.776] (-561.738) (-574.722) * (-563.524) (-562.935) [-542.522] (-559.957) -- 0:01:52
Average standard deviation of split frequencies: 0.008517
706000 -- (-571.621) [-542.401] (-556.812) (-572.395) * (-562.363) (-560.338) [-546.012] (-566.744) -- 0:01:52
707000 -- (-586.386) [-547.953] (-559.500) (-568.517) * (-558.697) (-576.968) [-539.362] (-561.557) -- 0:01:51
708000 -- (-570.344) [-540.966] (-567.472) (-565.466) * (-577.226) (-568.382) [-540.931] (-559.076) -- 0:01:51
709000 -- (-575.062) [-539.819] (-574.711) (-561.164) * (-567.708) (-560.184) [-544.543] (-556.314) -- 0:01:51
710000 -- (-576.022) [-540.349] (-561.320) (-563.221) * (-574.631) (-561.422) [-541.313] (-578.472) -- 0:01:50
Average standard deviation of split frequencies: 0.008461
711000 -- (-575.720) [-543.135] (-552.005) (-574.634) * (-582.082) (-563.541) [-542.923] (-572.375) -- 0:01:50
712000 -- (-583.413) [-538.454] (-553.111) (-573.409) * (-565.719) (-563.728) [-542.854] (-570.821) -- 0:01:50
713000 -- (-581.011) [-540.809] (-562.214) (-560.898) * (-570.031) (-569.512) [-542.962] (-562.869) -- 0:01:49
714000 -- (-574.615) [-542.662] (-561.082) (-572.309) * (-565.864) (-562.426) [-540.105] (-558.488) -- 0:01:48
715000 -- (-568.244) [-544.625] (-567.990) (-573.469) * (-567.734) (-564.838) [-544.478] (-573.051) -- 0:01:48
Average standard deviation of split frequencies: 0.008244
716000 -- (-573.191) [-538.431] (-556.089) (-565.736) * (-559.975) (-573.430) [-541.528] (-561.102) -- 0:01:48
717000 -- (-566.553) [-542.365] (-552.449) (-569.286) * (-571.487) (-571.353) [-545.920] (-557.348) -- 0:01:48
718000 -- (-564.561) [-543.425] (-566.430) (-577.754) * (-572.676) (-575.037) [-538.671] (-556.303) -- 0:01:47
719000 -- (-572.684) [-542.263] (-568.137) (-566.508) * (-576.841) (-577.215) [-536.259] (-565.203) -- 0:01:47
720000 -- (-569.589) [-541.506] (-568.944) (-572.403) * (-568.310) (-564.856) [-550.287] (-567.273) -- 0:01:46
Average standard deviation of split frequencies: 0.008006
721000 -- (-564.795) [-538.959] (-559.439) (-566.573) * (-563.764) (-560.052) [-546.875] (-566.521) -- 0:01:46
722000 -- (-569.644) [-536.526] (-564.464) (-576.646) * (-558.943) (-568.424) [-545.099] (-573.823) -- 0:01:46
723000 -- (-575.545) [-540.286] (-565.688) (-577.109) * (-563.888) (-557.338) [-536.733] (-574.127) -- 0:01:45
724000 -- (-583.856) [-541.731] (-561.095) (-574.277) * (-567.240) (-565.931) [-539.140] (-560.546) -- 0:01:45
725000 -- (-578.007) [-535.569] (-567.204) (-568.932) * (-562.948) (-567.908) [-538.958] (-565.083) -- 0:01:45
Average standard deviation of split frequencies: 0.007834
726000 -- (-569.122) [-541.476] (-561.779) (-573.444) * (-554.803) (-568.860) [-541.801] (-567.943) -- 0:01:44
727000 -- (-570.941) [-543.839] (-563.792) (-567.897) * (-566.708) (-570.274) [-547.019] (-565.823) -- 0:01:44
728000 -- (-567.634) [-539.877] (-555.489) (-574.725) * (-558.036) (-568.529) [-544.984] (-556.702) -- 0:01:43
729000 -- (-563.346) [-542.868] (-561.712) (-569.277) * (-570.924) (-578.161) [-541.088] (-557.178) -- 0:01:43
730000 -- (-567.252) [-542.630] (-556.503) (-562.220) * (-565.811) (-582.616) [-540.411] (-557.244) -- 0:01:43
Average standard deviation of split frequencies: 0.007826
731000 -- (-574.358) [-539.401] (-558.108) (-566.483) * (-561.553) (-583.623) [-544.690] (-553.635) -- 0:01:42
732000 -- (-565.194) [-540.989] (-569.044) (-581.362) * (-568.323) (-572.382) [-545.239] (-554.591) -- 0:01:42
733000 -- (-582.502) [-543.307] (-559.310) (-574.785) * (-578.963) (-565.877) [-536.964] (-563.754) -- 0:01:41
734000 -- (-578.587) [-537.945] (-557.454) (-569.743) * (-566.675) (-565.012) [-538.817] (-567.246) -- 0:01:41
735000 -- (-584.118) [-537.386] (-563.346) (-575.015) * (-565.397) (-571.547) [-541.130] (-564.856) -- 0:01:40
Average standard deviation of split frequencies: 0.007769
736000 -- (-573.198) [-540.546] (-570.313) (-567.025) * (-564.075) (-566.148) [-540.657] (-576.004) -- 0:01:40
737000 -- (-571.039) [-539.101] (-565.555) (-564.853) * (-558.025) (-567.102) [-541.036] (-557.062) -- 0:01:40
738000 -- (-576.203) [-541.806] (-561.037) (-567.856) * (-574.516) (-562.338) [-547.718] (-549.846) -- 0:01:40
739000 -- (-563.998) [-543.833] (-559.781) (-561.562) * (-572.041) (-568.600) [-536.953] (-565.454) -- 0:01:39
740000 -- (-563.584) [-540.838] (-564.151) (-574.924) * (-575.712) (-558.772) [-541.127] (-562.280) -- 0:01:39
Average standard deviation of split frequencies: 0.007790
741000 -- (-566.379) [-545.434] (-551.016) (-571.895) * (-561.010) (-558.169) [-538.831] (-560.596) -- 0:01:38
742000 -- (-572.731) [-539.814] (-554.702) (-575.399) * (-573.518) (-556.190) [-540.499] (-561.689) -- 0:01:38
743000 -- (-574.192) [-541.587] (-563.971) (-573.838) * (-570.230) (-558.344) [-539.411] (-562.042) -- 0:01:38
744000 -- (-573.006) [-539.699] (-567.955) (-569.798) * (-563.895) (-558.599) [-538.262] (-563.722) -- 0:01:37
745000 -- (-574.827) [-538.320] (-565.005) (-573.679) * (-572.937) (-562.634) [-546.336] (-552.373) -- 0:01:37
Average standard deviation of split frequencies: 0.007610
746000 -- (-571.605) [-538.799] (-572.723) (-571.945) * (-577.531) (-568.167) [-542.951] (-559.469) -- 0:01:37
747000 -- (-561.672) [-540.631] (-563.532) (-572.792) * (-570.270) (-582.692) [-540.221] (-556.778) -- 0:01:36
748000 -- (-565.125) [-539.039] (-560.847) (-567.170) * (-562.602) (-571.540) [-542.146] (-563.054) -- 0:01:36
749000 -- (-570.205) [-539.949] (-572.380) (-568.495) * (-565.156) (-575.931) [-543.054] (-564.967) -- 0:01:35
750000 -- (-567.342) [-537.118] (-580.666) (-560.767) * (-569.307) (-583.230) [-545.789] (-561.066) -- 0:01:35
Average standard deviation of split frequencies: 0.007850
751000 -- (-567.045) [-536.231] (-572.540) (-559.941) * (-562.634) (-572.830) [-538.120] (-562.085) -- 0:01:35
752000 -- (-562.619) [-537.032] (-565.619) (-558.833) * (-558.423) (-566.328) [-539.310] (-564.680) -- 0:01:34
753000 -- (-562.394) [-539.641] (-556.195) (-573.347) * (-574.300) (-560.894) [-536.813] (-564.184) -- 0:01:34
754000 -- (-564.318) [-538.142] (-568.233) (-566.216) * (-577.396) (-555.812) [-535.709] (-561.684) -- 0:01:33
755000 -- (-573.366) [-535.878] (-561.835) (-559.600) * (-559.913) (-572.782) [-542.660] (-576.513) -- 0:01:33
Average standard deviation of split frequencies: 0.007862
756000 -- (-574.823) [-546.491] (-564.851) (-565.076) * (-567.821) (-564.576) [-536.932] (-568.806) -- 0:01:32
757000 -- (-572.151) [-540.838] (-562.151) (-564.565) * (-563.093) (-576.223) [-535.818] (-570.862) -- 0:01:32
758000 -- (-571.034) [-542.184] (-557.611) (-579.919) * (-569.193) (-568.966) [-542.439] (-558.421) -- 0:01:32
759000 -- (-566.613) [-542.549] (-559.222) (-576.241) * (-561.490) (-573.408) [-535.524] (-561.615) -- 0:01:32
760000 -- (-574.128) [-537.605] (-561.469) (-568.794) * (-555.440) (-577.333) [-545.007] (-562.443) -- 0:01:31
Average standard deviation of split frequencies: 0.007774
761000 -- (-561.604) [-544.064] (-558.700) (-579.443) * (-562.037) (-577.036) [-540.886] (-559.293) -- 0:01:31
762000 -- (-562.020) [-550.982] (-567.682) (-564.950) * (-554.657) (-583.112) [-542.422] (-563.184) -- 0:01:30
763000 -- (-564.014) [-543.971] (-557.329) (-565.427) * (-557.188) (-561.187) [-538.954] (-563.705) -- 0:01:30
764000 -- (-564.808) [-547.727] (-559.605) (-564.652) * (-558.522) (-562.445) [-544.772] (-579.498) -- 0:01:30
765000 -- (-565.353) [-550.522] (-565.508) (-566.945) * (-560.047) (-569.080) [-542.821] (-579.275) -- 0:01:29
Average standard deviation of split frequencies: 0.007920
766000 -- (-581.268) [-546.685] (-563.080) (-562.630) * (-561.110) (-574.563) [-543.291] (-567.195) -- 0:01:29
767000 -- (-578.256) [-546.194] (-566.329) (-567.752) * (-564.161) (-567.903) [-543.664] (-556.825) -- 0:01:29
768000 -- (-576.666) [-549.104] (-567.744) (-582.440) * (-564.315) (-559.558) [-546.156] (-569.690) -- 0:01:28
769000 -- (-571.903) [-553.314] (-570.718) (-576.599) * (-573.132) (-568.575) [-543.533] (-557.142) -- 0:01:28
770000 -- (-562.269) [-546.340] (-569.911) (-580.179) * (-564.239) (-573.278) [-542.606] (-558.011) -- 0:01:27
Average standard deviation of split frequencies: 0.007473
771000 -- (-566.483) [-545.549] (-560.989) (-565.496) * (-558.856) (-552.781) [-543.333] (-559.043) -- 0:01:27
772000 -- (-562.720) [-538.393] (-558.578) (-571.480) * (-568.783) (-563.772) [-544.238] (-561.903) -- 0:01:27
773000 -- (-558.301) [-540.041] (-576.468) (-579.624) * (-556.089) (-558.016) [-545.312] (-568.443) -- 0:01:26
774000 -- (-571.538) [-542.426] (-562.961) (-568.530) * (-565.264) (-560.423) [-535.827] (-573.570) -- 0:01:26
775000 -- (-576.787) [-542.830] (-579.335) (-565.256) * (-565.414) (-560.329) [-536.873] (-563.092) -- 0:01:25
Average standard deviation of split frequencies: 0.007475
776000 -- (-582.168) [-544.799] (-559.358) (-566.874) * (-565.033) (-561.429) [-542.724] (-561.559) -- 0:01:25
777000 -- (-572.391) [-542.655] (-559.761) (-572.647) * (-559.109) (-563.756) [-536.740] (-570.060) -- 0:01:24
778000 -- (-574.319) [-541.383] (-567.537) (-580.737) * (-559.557) (-567.698) [-542.312] (-556.326) -- 0:01:24
779000 -- (-570.653) [-542.660] (-566.924) (-582.398) * (-564.035) (-570.597) [-545.765] (-559.623) -- 0:01:24
780000 -- (-568.739) [-537.395] (-562.457) (-587.752) * (-559.189) (-566.274) [-538.583] (-556.605) -- 0:01:24
Average standard deviation of split frequencies: 0.007496
781000 -- (-572.031) [-542.220] (-556.311) (-571.208) * (-557.602) (-568.562) [-536.788] (-560.539) -- 0:01:23
782000 -- (-577.816) [-542.734] (-560.642) (-576.797) * (-560.854) (-574.750) [-541.395] (-555.174) -- 0:01:23
783000 -- (-568.449) [-537.407] (-553.005) (-581.406) * (-565.029) (-577.693) [-540.973] (-560.162) -- 0:01:22
784000 -- (-559.621) [-544.158] (-563.709) (-573.354) * (-575.728) (-568.507) [-550.154] (-554.951) -- 0:01:22
785000 -- (-563.226) [-540.097] (-567.462) (-568.234) * (-568.544) (-558.723) [-540.513] (-555.536) -- 0:01:22
Average standard deviation of split frequencies: 0.007458
786000 -- (-574.682) [-540.392] (-566.906) (-561.155) * (-561.537) (-558.186) [-543.605] (-561.075) -- 0:01:21
787000 -- (-573.370) [-537.537] (-569.471) (-570.424) * (-563.377) (-556.100) [-541.784] (-565.722) -- 0:01:21
788000 -- (-571.813) [-540.470] (-570.535) (-576.203) * (-568.432) (-556.158) [-541.211] (-566.497) -- 0:01:20
789000 -- (-570.087) [-539.921] (-560.872) (-572.151) * (-567.481) (-558.334) [-541.798] (-573.015) -- 0:01:20
790000 -- (-570.538) [-541.542] (-558.244) (-573.632) * (-560.332) (-557.480) [-537.419] (-562.446) -- 0:01:20
Average standard deviation of split frequencies: 0.007504
791000 -- (-591.196) [-546.062] (-562.550) (-567.598) * (-560.961) (-555.862) [-540.902] (-568.050) -- 0:01:19
792000 -- (-571.750) [-539.403] (-554.114) (-560.266) * (-555.871) (-558.022) [-546.201] (-560.234) -- 0:01:19
793000 -- (-569.941) [-540.384] (-564.678) (-576.529) * (-557.989) (-557.856) [-542.039] (-571.648) -- 0:01:19
794000 -- (-563.207) [-545.800] (-560.319) (-566.155) * (-576.459) (-568.340) [-547.568] (-575.316) -- 0:01:18
795000 -- (-571.265) [-542.218] (-561.133) (-569.055) * (-563.601) (-566.881) [-543.328] (-570.042) -- 0:01:18
Average standard deviation of split frequencies: 0.007570
796000 -- (-562.297) [-540.830] (-556.344) (-565.544) * (-561.223) (-561.938) [-537.530] (-566.175) -- 0:01:17
797000 -- (-557.041) [-540.230] (-556.034) (-566.569) * (-569.064) (-577.827) [-539.419] (-560.118) -- 0:01:17
798000 -- (-570.508) [-558.556] (-569.147) (-576.964) * (-565.320) (-572.274) [-544.934] (-569.896) -- 0:01:16
799000 -- (-575.473) [-552.903] (-575.506) (-572.289) * (-571.509) (-564.307) [-543.176] (-573.479) -- 0:01:16
800000 -- (-571.226) [-544.313] (-561.546) (-581.365) * (-559.984) (-584.105) [-541.536] (-568.274) -- 0:01:16
Average standard deviation of split frequencies: 0.007475
801000 -- (-568.333) [-548.211] (-564.397) (-567.569) * (-564.812) (-570.352) [-543.356] (-560.078) -- 0:01:16
802000 -- (-567.098) [-538.937] (-565.968) (-583.760) * (-559.994) (-554.951) [-541.545] (-561.772) -- 0:01:15
803000 -- (-576.699) [-548.333] (-562.425) (-573.720) * (-566.211) (-578.869) [-543.835] (-555.196) -- 0:01:15
804000 -- (-571.870) [-542.449] (-557.388) (-572.900) * (-560.938) (-569.238) [-540.527] (-568.333) -- 0:01:14
805000 -- (-577.621) [-540.691] (-564.827) (-569.748) * (-559.552) (-579.084) [-540.558] (-563.723) -- 0:01:14
Average standard deviation of split frequencies: 0.007285
806000 -- (-571.794) [-548.613] (-556.603) (-568.553) * (-560.543) (-588.302) [-541.191] (-573.954) -- 0:01:14
807000 -- (-572.139) [-544.892] (-558.923) (-576.371) * (-561.395) (-576.432) [-546.194] (-559.919) -- 0:01:13
808000 -- (-570.220) [-543.826] (-568.491) (-579.513) * (-557.219) (-564.449) [-539.707] (-565.854) -- 0:01:13
809000 -- (-577.733) [-543.412] (-555.883) (-568.807) * (-567.920) (-564.451) [-542.555] (-561.606) -- 0:01:12
810000 -- (-574.303) [-545.036] (-558.034) (-571.154) * (-571.438) (-560.393) [-539.829] (-554.302) -- 0:01:12
Average standard deviation of split frequencies: 0.007572
811000 -- (-566.853) [-541.083] (-566.167) (-580.376) * (-562.636) (-569.483) [-545.082] (-558.066) -- 0:01:12
812000 -- (-567.870) [-545.733] (-562.420) (-577.960) * (-574.224) (-561.162) [-539.827] (-558.331) -- 0:01:11
813000 -- (-577.557) [-542.309] (-564.380) (-578.486) * (-567.288) (-558.355) [-540.848] (-568.393) -- 0:01:11
814000 -- (-578.117) [-542.687] (-565.196) (-576.247) * (-567.072) (-570.674) [-547.277] (-565.870) -- 0:01:11
815000 -- (-567.066) [-542.444] (-555.915) (-585.005) * (-572.922) (-569.501) [-545.346] (-567.504) -- 0:01:10
Average standard deviation of split frequencies: 0.007716
816000 -- (-576.237) [-539.572] (-556.216) (-575.787) * (-564.450) (-560.147) [-540.790] (-565.482) -- 0:01:10
817000 -- (-571.191) [-543.213] (-561.873) (-566.756) * (-558.970) (-561.235) [-542.279] (-569.039) -- 0:01:09
818000 -- (-563.192) [-538.434] (-561.483) (-576.282) * (-562.079) (-566.021) [-545.498] (-565.091) -- 0:01:09
819000 -- (-577.708) [-539.863] (-569.895) (-578.880) * (-560.114) (-571.016) [-539.014] (-562.007) -- 0:01:08
820000 -- (-583.610) [-541.903] (-564.236) (-568.579) * (-561.593) (-570.511) [-543.422] (-559.496) -- 0:01:08
Average standard deviation of split frequencies: 0.007582
821000 -- (-575.629) [-542.762] (-559.768) (-576.751) * (-564.517) (-568.712) [-546.471] (-553.690) -- 0:01:08
822000 -- (-565.772) [-543.150] (-560.965) (-564.644) * (-567.450) (-578.532) [-542.922] (-556.443) -- 0:01:07
823000 -- (-579.361) [-543.634] (-577.030) (-571.482) * (-566.582) (-573.076) [-537.872] (-557.175) -- 0:01:07
824000 -- (-569.868) [-542.502] (-571.495) (-565.390) * (-572.207) (-580.205) [-541.088] (-561.854) -- 0:01:07
825000 -- (-566.943) [-540.215] (-577.739) (-564.520) * (-578.234) (-560.836) [-540.327] (-558.696) -- 0:01:06
Average standard deviation of split frequencies: 0.007382
826000 -- (-571.491) [-544.884] (-567.001) (-565.340) * (-565.804) (-554.835) [-540.746] (-562.487) -- 0:01:06
827000 -- (-569.826) [-538.699] (-563.233) (-580.519) * (-559.889) (-560.868) [-536.344] (-570.095) -- 0:01:05
828000 -- (-574.543) [-538.573] (-559.498) (-584.899) * (-573.121) (-562.952) [-543.071] (-564.406) -- 0:01:05
829000 -- (-564.527) [-539.187] (-561.901) (-567.799) * (-564.252) (-565.186) [-534.707] (-554.219) -- 0:01:05
830000 -- (-566.855) [-540.376] (-575.786) (-565.405) * (-570.120) (-563.961) [-538.441] (-564.701) -- 0:01:04
Average standard deviation of split frequencies: 0.007693
831000 -- (-574.678) [-543.494] (-572.577) (-568.536) * (-587.407) (-574.841) [-541.972] (-566.804) -- 0:01:04
832000 -- (-557.642) [-541.775] (-590.063) (-573.414) * (-566.752) (-572.302) [-542.356] (-563.570) -- 0:01:04
833000 -- (-561.776) [-542.755] (-571.878) (-574.270) * (-560.801) (-583.568) [-541.274] (-568.116) -- 0:01:03
834000 -- (-565.323) [-535.487] (-552.280) (-574.110) * (-561.099) (-577.277) [-538.253] (-555.779) -- 0:01:03
835000 -- (-579.230) [-540.129] (-556.313) (-574.172) * (-573.163) (-566.124) [-546.245] (-562.384) -- 0:01:02
Average standard deviation of split frequencies: 0.007502
836000 -- (-581.362) [-542.001] (-580.643) (-575.236) * (-560.991) (-578.134) [-539.109] (-562.647) -- 0:01:02
837000 -- (-575.438) [-547.509] (-565.671) (-568.134) * (-571.900) (-578.125) [-536.831] (-562.520) -- 0:01:02
838000 -- (-565.938) [-540.388] (-573.496) (-566.280) * (-579.580) (-580.810) [-540.015] (-550.749) -- 0:01:01
839000 -- (-579.129) [-546.720] (-573.660) (-574.963) * (-577.894) (-578.928) [-538.307] (-557.471) -- 0:01:01
840000 -- (-572.977) [-542.745] (-563.385) (-566.922) * (-569.552) (-572.847) [-537.132] (-564.361) -- 0:01:00
Average standard deviation of split frequencies: 0.007595
841000 -- (-573.767) [-542.837] (-567.196) (-573.996) * (-566.167) (-565.336) [-544.802] (-563.499) -- 0:01:00
842000 -- (-578.683) [-539.699] (-571.509) (-570.546) * (-576.990) (-567.888) [-538.282] (-556.449) -- 0:01:00
843000 -- (-569.737) [-538.834] (-561.513) (-581.791) * (-561.970) (-557.971) [-539.969] (-557.269) -- 0:00:59
844000 -- (-565.928) [-534.970] (-564.200) (-575.041) * (-565.643) (-572.826) [-548.301] (-568.436) -- 0:00:59
845000 -- (-562.742) [-537.396] (-555.406) (-574.980) * (-568.874) (-571.250) [-538.149] (-563.749) -- 0:00:59
Average standard deviation of split frequencies: 0.007716
846000 -- (-599.374) [-540.887] (-555.895) (-567.650) * (-556.233) (-563.757) [-536.378] (-577.206) -- 0:00:58
847000 -- (-584.190) [-540.110] (-554.639) (-563.337) * (-557.105) (-561.441) [-538.612] (-565.419) -- 0:00:58
848000 -- (-582.181) [-540.039] (-556.412) (-568.519) * (-571.407) (-567.221) [-541.296] (-559.741) -- 0:00:57
849000 -- (-572.923) [-540.843] (-561.531) (-567.143) * (-580.314) (-558.444) [-538.919] (-557.051) -- 0:00:57
850000 -- (-568.269) [-536.249] (-555.175) (-575.856) * (-573.778) (-564.432) [-539.357] (-567.323) -- 0:00:57
Average standard deviation of split frequencies: 0.007288
851000 -- (-559.203) [-537.036] (-561.088) (-574.043) * (-567.279) (-562.751) [-549.085] (-570.912) -- 0:00:56
852000 -- (-564.850) [-540.450] (-564.058) (-576.928) * (-565.500) (-564.811) [-543.731] (-570.102) -- 0:00:56
853000 -- (-564.078) [-543.762] (-566.213) (-565.768) * (-563.816) (-560.837) [-539.982] (-574.262) -- 0:00:56
854000 -- (-574.347) [-536.943] (-559.133) (-570.822) * (-559.249) (-563.490) [-542.981] (-572.533) -- 0:00:55
855000 -- (-577.485) [-543.500] (-568.108) (-571.726) * (-555.860) (-558.598) [-544.694] (-567.574) -- 0:00:55
Average standard deviation of split frequencies: 0.007315
856000 -- (-559.428) [-536.979] (-561.738) (-577.392) * (-559.577) (-563.327) [-543.147] (-563.088) -- 0:00:54
857000 -- (-565.422) [-542.165] (-561.506) (-567.386) * (-563.740) (-557.415) [-546.813] (-556.477) -- 0:00:54
858000 -- (-559.765) [-538.928] (-571.221) (-579.188) * (-558.838) (-561.843) [-543.849] (-559.371) -- 0:00:54
859000 -- (-562.476) [-540.547] (-573.456) (-565.057) * (-560.960) (-557.384) [-540.864] (-562.818) -- 0:00:53
860000 -- (-563.818) [-537.963] (-578.229) (-587.946) * (-562.892) (-557.022) [-539.730] (-568.778) -- 0:00:53
Average standard deviation of split frequencies: 0.007228
861000 -- (-555.370) [-539.961] (-576.974) (-570.189) * (-573.679) (-557.131) [-542.163] (-566.282) -- 0:00:52
862000 -- (-564.793) [-537.112] (-578.001) (-574.739) * (-588.909) (-557.561) [-540.997] (-559.361) -- 0:00:52
863000 -- (-561.221) [-540.790] (-563.683) (-576.234) * (-572.008) (-559.746) [-542.043] (-561.663) -- 0:00:52
864000 -- (-562.577) [-535.421] (-569.549) (-580.844) * (-565.021) (-566.350) [-543.006] (-565.391) -- 0:00:51
865000 -- (-562.124) [-544.071] (-575.503) (-578.553) * (-572.828) (-563.404) [-538.176] (-558.052) -- 0:00:51
Average standard deviation of split frequencies: 0.007195
866000 -- (-561.112) [-542.183] (-576.419) (-567.340) * (-576.939) (-587.744) [-543.593] (-560.847) -- 0:00:51
867000 -- (-566.483) [-535.196] (-577.824) (-566.824) * (-573.799) (-562.193) [-549.718] (-564.707) -- 0:00:50
868000 -- (-562.878) [-545.530] (-569.860) (-572.300) * (-565.312) (-560.542) [-541.356] (-567.619) -- 0:00:50
869000 -- (-570.059) [-541.368] (-576.797) (-571.826) * (-560.875) (-561.466) [-542.627] (-560.342) -- 0:00:49
870000 -- (-568.240) [-543.518] (-563.677) (-569.557) * (-565.734) (-556.869) [-535.691] (-556.187) -- 0:00:49
Average standard deviation of split frequencies: 0.007097
871000 -- (-567.607) [-539.916] (-565.389) (-572.079) * (-572.227) (-573.584) [-538.750] (-555.765) -- 0:00:49
872000 -- (-569.291) [-541.832] (-555.982) (-579.164) * (-567.982) (-565.831) [-539.841] (-566.598) -- 0:00:48
873000 -- (-559.414) [-540.447] (-574.493) (-574.101) * (-565.040) (-552.573) [-543.353] (-565.809) -- 0:00:48
874000 -- (-560.912) [-539.257] (-568.763) (-573.802) * (-556.698) (-567.815) [-542.571] (-560.306) -- 0:00:48
875000 -- (-569.881) [-545.345] (-563.669) (-576.171) * (-562.754) (-562.791) [-537.408] (-551.738) -- 0:00:47
Average standard deviation of split frequencies: 0.007113
876000 -- (-570.511) [-545.555] (-561.963) (-570.203) * (-560.414) (-562.004) [-540.216] (-576.453) -- 0:00:47
877000 -- (-562.039) [-541.164] (-567.157) (-566.128) * (-570.948) (-560.510) [-540.948] (-555.720) -- 0:00:46
878000 -- (-568.494) [-539.118] (-559.746) (-560.611) * (-569.353) (-568.980) [-538.908] (-564.992) -- 0:00:46
879000 -- (-570.447) [-538.041] (-559.330) (-564.812) * (-557.523) (-566.853) [-542.272] (-580.241) -- 0:00:46
880000 -- (-566.363) [-537.244] (-562.807) (-572.618) * (-556.831) (-560.020) [-544.126] (-573.170) -- 0:00:45
Average standard deviation of split frequencies: 0.007122
881000 -- (-559.932) [-540.080] (-569.012) (-566.881) * (-562.302) (-569.911) [-541.620] (-563.469) -- 0:00:45
882000 -- (-566.952) [-540.396] (-563.143) (-567.905) * (-559.167) (-576.372) [-542.900] (-564.348) -- 0:00:45
883000 -- (-563.462) [-544.094] (-561.883) (-561.434) * (-560.602) (-571.714) [-541.453] (-551.572) -- 0:00:44
884000 -- (-572.347) [-540.709] (-566.038) (-563.334) * (-563.887) (-569.988) [-543.972] (-568.173) -- 0:00:44
885000 -- (-581.194) [-541.308] (-567.669) (-565.989) * (-565.327) (-577.799) [-544.406] (-560.972) -- 0:00:43
Average standard deviation of split frequencies: 0.007148
886000 -- (-568.252) [-539.967] (-562.484) (-571.761) * (-571.573) (-567.225) [-547.204] (-558.605) -- 0:00:43
887000 -- (-568.065) [-540.382] (-560.877) (-566.486) * (-557.968) (-568.622) [-542.535] (-556.946) -- 0:00:43
888000 -- (-560.493) [-542.274] (-566.236) (-573.431) * (-563.116) (-574.738) [-547.084] (-568.049) -- 0:00:42
889000 -- (-571.624) [-540.046] (-564.496) (-582.450) * (-564.886) (-572.025) [-543.864] (-560.662) -- 0:00:42
890000 -- (-558.267) [-538.624] (-563.012) (-571.871) * (-579.408) (-563.129) [-544.913] (-568.788) -- 0:00:42
Average standard deviation of split frequencies: 0.006961
891000 -- (-580.296) [-539.053] (-559.845) (-575.649) * (-563.339) (-563.897) [-542.688] (-569.440) -- 0:00:41
892000 -- (-585.049) [-537.582] (-555.114) (-582.182) * (-563.004) (-562.430) [-544.110] (-578.207) -- 0:00:41
893000 -- (-585.630) [-538.150] (-561.526) (-571.056) * (-564.709) (-568.968) [-538.672] (-558.085) -- 0:00:40
894000 -- (-564.784) [-538.782] (-561.788) (-578.827) * (-564.226) (-560.059) [-541.165] (-563.078) -- 0:00:40
895000 -- (-566.125) [-538.642] (-563.847) (-572.459) * (-572.105) (-565.042) [-538.351] (-556.188) -- 0:00:40
Average standard deviation of split frequencies: 0.006725
896000 -- (-573.054) [-538.460] (-566.110) (-572.904) * (-565.208) (-560.928) [-541.086] (-560.444) -- 0:00:39
897000 -- (-575.625) [-539.093] (-554.911) (-573.846) * (-566.384) (-563.897) [-539.065] (-556.947) -- 0:00:39
898000 -- (-574.075) [-543.642] (-558.120) (-573.408) * (-567.777) (-567.790) [-541.365] (-557.407) -- 0:00:38
899000 -- (-563.986) [-543.353] (-561.868) (-573.696) * (-568.180) (-567.988) [-542.489] (-559.443) -- 0:00:38
900000 -- (-569.250) [-546.436] (-564.455) (-567.804) * (-569.835) (-572.987) [-550.058] (-563.196) -- 0:00:38
Average standard deviation of split frequencies: 0.006827
901000 -- (-569.020) [-538.145] (-562.215) (-574.167) * (-566.119) (-571.189) [-542.682] (-567.304) -- 0:00:37
902000 -- (-569.822) [-539.542] (-560.982) (-577.720) * (-563.564) (-568.174) [-542.908] (-554.850) -- 0:00:37
903000 -- (-583.282) [-536.570] (-559.840) (-566.517) * (-557.317) (-564.069) [-543.928] (-566.417) -- 0:00:37
904000 -- (-567.745) [-541.355] (-574.823) (-577.188) * (-566.986) (-568.510) [-546.113] (-558.958) -- 0:00:36
905000 -- (-580.963) [-539.792] (-567.535) (-574.125) * (-563.708) (-575.034) [-539.105] (-563.071) -- 0:00:36
Average standard deviation of split frequencies: 0.006855
906000 -- (-572.329) [-540.147] (-560.836) (-572.497) * (-570.727) (-561.680) [-537.139] (-558.986) -- 0:00:35
907000 -- (-574.375) [-545.308] (-569.193) (-565.235) * (-576.876) (-570.738) [-539.963] (-553.368) -- 0:00:35
908000 -- (-572.414) [-550.022] (-576.688) (-560.476) * (-576.875) (-563.196) [-536.989] (-559.129) -- 0:00:35
909000 -- (-574.387) [-541.774] (-561.892) (-575.923) * (-568.502) (-572.013) [-538.577] (-555.099) -- 0:00:34
910000 -- (-570.324) [-547.664] (-567.271) (-567.269) * (-572.678) (-566.906) [-543.025] (-564.764) -- 0:00:34
Average standard deviation of split frequencies: 0.006808
911000 -- (-566.317) [-542.333] (-572.294) (-572.358) * (-560.626) (-569.930) [-539.516] (-562.482) -- 0:00:33
912000 -- (-571.881) [-545.957] (-583.420) (-563.665) * (-570.023) (-568.210) [-545.779] (-554.859) -- 0:00:33
913000 -- (-565.992) [-541.304] (-567.027) (-568.004) * (-569.957) (-561.362) [-551.164] (-557.616) -- 0:00:33
914000 -- (-563.676) [-542.433] (-568.785) (-566.330) * (-565.530) (-567.902) [-541.686] (-556.569) -- 0:00:32
915000 -- (-573.651) [-539.509] (-553.743) (-579.758) * (-564.360) (-571.869) [-536.634] (-559.762) -- 0:00:32
Average standard deviation of split frequencies: 0.006668
916000 -- (-573.360) [-539.665] (-555.146) (-580.627) * (-566.122) (-566.636) [-538.459] (-565.379) -- 0:00:32
917000 -- (-576.101) [-537.965] (-557.008) (-569.524) * (-563.496) (-564.500) [-540.979] (-568.228) -- 0:00:31
918000 -- (-571.746) [-540.120] (-567.952) (-572.562) * (-570.146) (-565.388) [-538.043] (-570.184) -- 0:00:31
919000 -- (-574.942) [-543.249] (-565.560) (-572.372) * (-569.811) (-564.874) [-541.737] (-563.808) -- 0:00:30
920000 -- (-567.280) [-540.423] (-571.605) (-589.178) * (-574.465) (-562.655) [-544.563] (-554.759) -- 0:00:30
Average standard deviation of split frequencies: 0.006489
921000 -- (-567.118) [-540.727] (-563.280) (-574.372) * (-569.384) (-564.009) [-536.815] (-550.999) -- 0:00:30
922000 -- (-564.301) [-537.944] (-558.665) (-570.158) * (-568.493) (-559.921) [-537.253] (-560.797) -- 0:00:29
923000 -- (-563.458) [-541.669] (-568.373) (-571.530) * (-568.456) (-560.404) [-539.375] (-556.298) -- 0:00:29
924000 -- (-570.027) [-539.297] (-570.320) (-581.501) * (-568.467) (-575.049) [-536.501] (-558.216) -- 0:00:29
925000 -- (-574.751) [-543.122] (-560.374) (-575.655) * (-562.473) (-579.429) [-537.101] (-566.220) -- 0:00:28
Average standard deviation of split frequencies: 0.006541
926000 -- (-571.978) [-546.781] (-565.419) (-573.669) * (-568.109) (-564.704) [-539.393] (-563.119) -- 0:00:28
927000 -- (-565.273) [-539.640] (-563.791) (-579.324) * (-565.331) (-563.493) [-540.482] (-564.613) -- 0:00:27
928000 -- (-567.580) [-546.670] (-556.705) (-574.497) * (-560.818) (-577.192) [-540.234] (-565.337) -- 0:00:27
929000 -- (-571.189) [-541.586] (-571.796) (-568.909) * (-564.487) (-574.040) [-541.485] (-555.634) -- 0:00:27
930000 -- (-575.887) [-542.237] (-564.141) (-575.213) * (-562.182) (-578.722) [-547.266] (-567.397) -- 0:00:26
Average standard deviation of split frequencies: 0.006475
931000 -- (-569.702) [-545.418] (-561.515) (-579.616) * (-559.374) (-567.678) [-547.379] (-556.956) -- 0:00:26
932000 -- (-581.784) [-539.182] (-562.316) (-568.506) * (-574.265) (-565.983) [-541.857] (-563.185) -- 0:00:25
933000 -- (-576.918) [-532.804] (-562.978) (-555.934) * (-566.267) (-563.513) [-545.045] (-570.860) -- 0:00:25
934000 -- (-568.268) [-537.017] (-558.200) (-567.708) * (-569.505) (-571.836) [-542.725] (-568.423) -- 0:00:25
935000 -- (-567.726) [-537.959] (-563.876) (-574.815) * (-567.580) (-565.319) [-543.497] (-569.015) -- 0:00:24
Average standard deviation of split frequencies: 0.006482
936000 -- (-588.251) [-541.377] (-560.937) (-580.390) * (-563.891) (-564.396) [-536.819] (-563.778) -- 0:00:24
937000 -- (-579.800) [-539.624] (-560.071) (-568.161) * (-572.858) (-565.071) [-541.527] (-577.244) -- 0:00:24
938000 -- (-565.454) [-542.437] (-568.594) (-568.847) * (-559.560) (-565.664) [-536.925] (-566.476) -- 0:00:23
939000 -- (-577.468) [-540.132] (-562.413) (-571.152) * (-567.015) (-560.549) [-539.804] (-565.988) -- 0:00:23
940000 -- (-576.558) [-538.601] (-568.729) (-573.092) * (-578.769) (-560.137) [-537.671] (-572.758) -- 0:00:22
Average standard deviation of split frequencies: 0.006842
941000 -- (-568.868) [-539.852] (-556.636) (-564.260) * (-564.356) (-561.204) [-544.643] (-559.094) -- 0:00:22
942000 -- (-573.568) [-541.431] (-558.901) (-565.379) * (-565.371) (-574.301) [-544.673] (-555.945) -- 0:00:22
943000 -- (-580.362) [-539.344] (-558.348) (-559.714) * (-575.685) (-563.571) [-537.441] (-564.714) -- 0:00:21
944000 -- (-576.878) [-538.350] (-559.371) (-557.090) * (-565.735) (-568.242) [-540.718] (-557.729) -- 0:00:21
945000 -- (-571.624) [-542.989] (-565.209) (-566.327) * (-566.833) (-572.121) [-541.893] (-559.716) -- 0:00:21
Average standard deviation of split frequencies: 0.006944
946000 -- (-562.619) [-542.994] (-564.336) (-570.860) * (-563.395) (-577.571) [-541.189] (-570.981) -- 0:00:20
947000 -- (-574.489) [-546.081] (-566.341) (-561.047) * (-563.759) (-569.005) [-538.675] (-565.798) -- 0:00:20
948000 -- (-584.878) [-549.847] (-568.424) (-556.396) * (-562.246) (-565.367) [-538.386] (-584.731) -- 0:00:19
949000 -- (-582.069) [-542.424] (-564.699) (-567.926) * (-570.961) (-559.716) [-537.727] (-572.515) -- 0:00:19
950000 -- (-579.039) [-541.867] (-566.548) (-559.299) * (-571.971) (-564.477) [-537.736] (-577.248) -- 0:00:19
Average standard deviation of split frequencies: 0.006759
951000 -- (-594.483) [-543.510] (-561.543) (-566.500) * (-578.810) (-557.459) [-536.107] (-568.717) -- 0:00:18
952000 -- (-589.115) [-537.832] (-555.400) (-574.383) * (-570.685) (-561.524) [-537.957] (-574.532) -- 0:00:18
953000 -- (-579.827) [-539.889] (-562.267) (-558.057) * (-576.801) (-573.434) [-542.080] (-564.125) -- 0:00:17
954000 -- (-573.054) [-540.153] (-566.450) (-571.220) * (-559.820) (-556.855) [-539.864] (-568.698) -- 0:00:17
955000 -- (-565.018) [-541.572] (-562.025) (-574.465) * (-570.345) (-554.598) [-540.442] (-571.361) -- 0:00:17
Average standard deviation of split frequencies: 0.006614
956000 -- (-570.520) [-542.133] (-574.198) (-572.616) * (-562.599) (-558.638) [-537.564] (-568.713) -- 0:00:16
957000 -- (-564.856) [-543.564] (-556.781) (-567.789) * (-582.341) (-560.096) [-544.852] (-567.668) -- 0:00:16
958000 -- (-572.010) [-542.529] (-554.458) (-564.938) * (-585.036) (-557.923) [-542.156] (-571.393) -- 0:00:16
959000 -- (-571.618) [-538.826] (-562.775) (-567.639) * (-562.027) (-576.004) [-541.588] (-562.464) -- 0:00:15
960000 -- (-561.912) [-542.755] (-560.981) (-563.301) * (-561.658) (-580.139) [-539.505] (-555.108) -- 0:00:15
Average standard deviation of split frequencies: 0.006411
961000 -- (-566.095) [-538.336] (-562.013) (-572.231) * (-570.874) (-564.180) [-537.745] (-569.486) -- 0:00:14
962000 -- (-572.971) [-546.098] (-557.798) (-578.320) * (-554.537) (-565.508) [-547.154] (-561.386) -- 0:00:14
963000 -- (-572.659) [-542.815] (-558.631) (-577.351) * (-562.226) (-570.118) [-536.250] (-568.609) -- 0:00:14
964000 -- (-577.483) [-543.598] (-560.749) (-570.180) * (-559.387) (-561.097) [-540.145] (-561.027) -- 0:00:13
965000 -- (-568.860) [-543.317] (-558.594) (-566.438) * (-558.250) (-562.794) [-543.059] (-564.460) -- 0:00:13
Average standard deviation of split frequencies: 0.006514
966000 -- (-559.264) [-539.769] (-570.677) (-560.670) * (-560.888) (-563.181) [-543.288] (-571.549) -- 0:00:12
967000 -- (-559.339) [-542.787] (-559.303) (-568.728) * (-557.031) (-565.013) [-537.118] (-568.293) -- 0:00:12
968000 -- (-567.344) [-547.781] (-559.312) (-562.148) * (-572.825) (-552.156) [-539.934] (-565.271) -- 0:00:12
969000 -- (-564.685) [-549.092] (-561.393) (-572.886) * (-566.552) (-556.617) [-540.243] (-562.289) -- 0:00:11
970000 -- (-563.460) [-547.755] (-552.016) (-571.632) * (-576.961) (-553.632) [-539.077] (-558.099) -- 0:00:11
Average standard deviation of split frequencies: 0.006324
971000 -- (-581.181) [-542.679] (-558.568) (-573.103) * (-562.549) (-557.907) [-547.217] (-574.833) -- 0:00:11
972000 -- (-574.887) [-544.649] (-553.526) (-571.728) * (-555.969) (-554.653) [-537.319] (-568.403) -- 0:00:10
973000 -- (-560.087) [-541.390] (-563.270) (-563.048) * (-570.609) (-565.719) [-541.449] (-583.704) -- 0:00:10
974000 -- (-561.217) [-539.443] (-574.432) (-559.855) * (-574.028) (-555.499) [-544.822] (-562.731) -- 0:00:09
975000 -- (-561.503) [-541.471] (-569.611) (-569.217) * (-573.246) (-550.693) [-538.769] (-564.831) -- 0:00:09
Average standard deviation of split frequencies: 0.006457
976000 -- (-568.281) [-544.534] (-572.454) (-586.887) * (-567.821) (-558.515) [-543.954] (-560.784) -- 0:00:09
977000 -- (-576.435) [-538.121] (-563.345) (-566.699) * (-566.230) (-560.658) [-537.085] (-560.803) -- 0:00:08
978000 -- (-564.027) [-545.279] (-555.385) (-584.836) * (-562.646) (-554.096) [-543.000] (-566.425) -- 0:00:08
979000 -- (-562.442) [-541.429] (-567.309) (-577.517) * (-558.563) (-572.544) [-550.727] (-562.121) -- 0:00:08
980000 -- (-565.936) [-545.871] (-563.032) (-563.866) * (-577.288) (-577.010) [-545.179] (-563.447) -- 0:00:07
Average standard deviation of split frequencies: 0.006594
981000 -- (-584.511) [-542.232] (-567.695) (-561.796) * (-567.110) (-570.126) [-545.884] (-557.146) -- 0:00:07
982000 -- (-573.549) [-536.090] (-567.101) (-564.124) * (-570.097) (-572.787) [-536.687] (-562.377) -- 0:00:06
983000 -- (-576.492) [-540.923] (-567.159) (-566.048) * (-561.044) (-552.549) [-539.993] (-564.355) -- 0:00:06
984000 -- (-574.455) [-542.571] (-574.051) (-573.712) * (-569.564) (-555.641) [-539.148] (-559.015) -- 0:00:06
985000 -- (-565.768) [-538.165] (-569.779) (-567.821) * (-563.940) (-559.696) [-537.986] (-559.761) -- 0:00:05
Average standard deviation of split frequencies: 0.006486
986000 -- (-573.083) [-539.501] (-566.530) (-563.970) * (-576.513) (-563.008) [-542.172] (-570.573) -- 0:00:05
987000 -- (-566.922) [-542.350] (-574.181) (-571.053) * (-562.739) (-555.328) [-537.697] (-561.648) -- 0:00:04
988000 -- (-570.344) [-540.710] (-559.951) (-566.569) * (-582.201) (-553.398) [-538.019] (-563.489) -- 0:00:04
989000 -- (-565.738) [-540.791] (-562.015) (-574.072) * (-575.290) (-573.598) [-539.464] (-558.167) -- 0:00:04
990000 -- (-563.201) [-538.065] (-564.773) (-583.971) * (-579.606) (-563.413) [-543.652] (-556.828) -- 0:00:03
Average standard deviation of split frequencies: 0.006383
991000 -- (-574.464) [-540.274] (-570.092) (-568.895) * (-563.621) (-566.171) [-544.366] (-556.709) -- 0:00:03
992000 -- (-574.976) [-548.171] (-564.571) (-562.121) * (-558.265) (-560.344) [-536.441] (-562.953) -- 0:00:03
993000 -- (-574.905) [-533.535] (-557.606) (-567.934) * (-566.649) (-557.667) [-541.359] (-563.367) -- 0:00:02
994000 -- (-571.437) [-542.403] (-559.722) (-584.871) * (-558.419) (-564.827) [-545.387] (-564.966) -- 0:00:02
995000 -- (-576.167) [-546.656] (-565.191) (-574.406) * (-567.461) (-563.061) [-541.536] (-559.144) -- 0:00:01
Average standard deviation of split frequencies: 0.006163
996000 -- (-578.844) [-540.826] (-560.972) (-573.879) * (-560.634) (-563.809) [-537.694] (-558.441) -- 0:00:01
997000 -- (-585.756) [-538.041] (-564.711) (-570.854) * (-562.456) (-572.038) [-539.997] (-562.682) -- 0:00:01
998000 -- (-579.210) [-552.001] (-554.504) (-568.483) * (-572.561) (-574.186) [-539.631] (-558.482) -- 0:00:00
999000 -- (-583.492) [-544.529] (-562.962) (-568.281) * (-564.102) (-575.439) [-540.065] (-565.526) -- 0:00:00
1000000 -- (-569.813) [-550.218] (-576.117) (-576.936) * (-564.771) (-553.634) [-540.070] (-562.254) -- 0:00:00
Average standard deviation of split frequencies: 0.006206
Analysis completed in 6 mins 21 seconds
Analysis used 381.38 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -530.89
Likelihood of best state for "cold" chain of run 2 was -533.71
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
73.6 % ( 62 %) Dirichlet(Revmat{all})
89.9 % ( 86 %) Slider(Revmat{all})
38.8 % ( 38 %) Dirichlet(Pi{all})
38.6 % ( 21 %) Slider(Pi{all})
79.0 % ( 58 %) Multiplier(Alpha{1,2})
78.6 % ( 57 %) Multiplier(Alpha{3})
93.9 % ( 93 %) Slider(Pinvar{all})
79.5 % ( 77 %) ExtSPR(Tau{all},V{all})
71.7 % ( 71 %) ExtTBR(Tau{all},V{all})
85.2 % ( 94 %) NNI(Tau{all},V{all})
38.5 % ( 45 %) ParsSPR(Tau{all},V{all})
27.8 % ( 24 %) Multiplier(V{all})
86.9 % ( 84 %) Nodeslider(V{all})
29.0 % ( 18 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
73.1 % ( 64 %) Dirichlet(Revmat{all})
89.2 % ( 81 %) Slider(Revmat{all})
39.0 % ( 31 %) Dirichlet(Pi{all})
39.5 % ( 25 %) Slider(Pi{all})
79.5 % ( 64 %) Multiplier(Alpha{1,2})
78.3 % ( 61 %) Multiplier(Alpha{3})
94.0 % ( 81 %) Slider(Pinvar{all})
79.3 % ( 76 %) ExtSPR(Tau{all},V{all})
71.9 % ( 72 %) ExtTBR(Tau{all},V{all})
85.0 % ( 87 %) NNI(Tau{all},V{all})
38.7 % ( 22 %) ParsSPR(Tau{all},V{all})
27.8 % ( 22 %) Multiplier(V{all})
87.0 % ( 91 %) Nodeslider(V{all})
29.5 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.01 0.00 0.00
2 | 167311 0.18 0.02
3 | 166586 166671 0.31
4 | 166145 166819 166468
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.02 0.00 0.00
2 | 166291 0.17 0.02
3 | 166741 166494 0.32
4 | 166665 167043 166766
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)
+------------------------------------------------------------+ -539.55
|22 1 1 2 |
| 2 2 1 2 12 2 2 |
| 2 2 2 1 1 1 1 2 |
|11 1 2 21 1 1 2 1 1 21 1 11 2212|
| 1 1 2 11 2 11 * 2 2 1 2 211 |
| 1 * 122 2 11 2 22 122 * 2 |
| 2 1 2 *1 2 2 2 1 1 |
| 2 2* 2 2 11 2 2 |
| 21 2 12 2 2 |
| 2 1 2 1 1|
| 1 1 1 1 1 |
| 1 2 2 1 |
| |
| |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -545.45
^ ^
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 -537.88 -551.87
2 -537.95 -550.18
--------------------------------------
TOTAL -537.92 -551.35
--------------------------------------
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} 0.034615 0.000128 0.014617 0.056515 0.033212 1501.00 1501.00 1.000
r(A<->C){all} 0.064461 0.003481 0.000001 0.181798 0.046432 117.80 119.00 1.000
r(A<->G){all} 0.066635 0.004166 0.000001 0.195401 0.046662 46.26 90.19 1.006
r(A<->T){all} 0.110257 0.005877 0.006763 0.258831 0.094375 84.72 87.29 1.014
r(C<->G){all} 0.207301 0.012422 0.020246 0.422499 0.188812 73.13 75.38 1.008
r(C<->T){all} 0.302443 0.012130 0.103478 0.516811 0.293626 98.53 109.69 1.004
r(G<->T){all} 0.248904 0.011004 0.055212 0.449842 0.240458 99.49 121.04 1.012
pi(A){all} 0.252509 0.000565 0.203963 0.295738 0.251578 883.45 917.20 1.000
pi(C){all} 0.245455 0.000541 0.197642 0.288034 0.245313 803.58 852.03 1.000
pi(G){all} 0.199057 0.000474 0.157013 0.240416 0.198411 858.25 859.38 1.002
pi(T){all} 0.302980 0.000640 0.254000 0.351105 0.302557 767.27 794.93 1.001
alpha{1,2} 1.030269 0.950957 0.001082 2.985852 0.751136 726.09 748.44 1.000
alpha{3} 1.014892 0.951383 0.000211 2.862093 0.733411 601.72 706.60 1.001
pinvar{all} 0.370653 0.053048 0.000014 0.769990 0.350425 262.10 302.49 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C65
2 -- C10
3 -- C67
4 -- C9
5 -- C73
6 -- C72
7 -- C74
8 -- C16
9 -- C80
10 -- C81
11 -- C58
12 -- C87
13 -- C60
14 -- C107
15 -- C115
16 -- C114
17 -- C61
18 -- C8
19 -- C117
20 -- C15
21 -- C124
22 -- C11
23 -- C130
24 -- C131
25 -- C18
26 -- C77
27 -- C136
28 -- C7
29 -- C25
30 -- C84
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- .*.**..*..*..*...*.*.*..*..**.
32 -- ....*........*................
33 -- .*.*...*...........*.*..*.....
34 -- .....**.....*.***.*.*.*..*...*
35 -- .*......................*.....
36 -- ...*....................*.....
37 -- .*.....*...........*.*..*.....
38 -- ...*...*......................
39 -- .*.*...*...........*....*.....
40 -- ...........................**.
41 -- .*.**..*.....*.....*.*..*.....
42 -- .*.*...*..*........*.*..*.....
43 -- .*.*...*...........*.*..*..*..
44 -- .*.................*..........
45 -- .*.*...*.............*..*.....
46 -- .................*..........*.
47 -- .*.*...*..*......*.*.*..*..**.
48 -- ...*.................*........
49 -- ..........*......*............
50 -- .*...................*........
51 -- .*.**..*..*..*.....*.*..*..**.
52 -- ..........*.................*.
53 -- .*.....*......................
54 -- ...*...............*..........
55 -- ....*.....*..*...*.........**.
56 -- .......*...........*..........
57 -- .*.*..........................
58 -- ....*.....*..*................
59 -- .*.*...............*.*..*.....
60 -- .*.**..*..*..*...*.*.*..*..*..
61 -- .....................*..*.....
62 -- .*.**..*.....*...*.*.*..*..**.
63 -- .................*.........*..
64 -- ....*........*..............*.
65 -- .*.*...*...........*.*..*...*.
66 -- ...................*.*........
67 -- ...................*....*.....
68 -- .*.*...*.........*.*.*..*.....
69 -- .......*.............*........
70 -- ..........*................*..
71 -- ....*........*.............*..
72 -- .*.*...*...........*.*........
73 -- ...*...*...........*.*..*.....
74 -- .*.**..*..*..*...*.*.*..*...*.
75 -- ....*........*...*............
76 -- .......*................*.....
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 2981 0.993005 0.001413 0.992005 0.994004 2
33 2972 0.990007 0.001884 0.988674 0.991339 2
34 2838 0.945370 0.004711 0.942039 0.948701 2
35 369 0.122918 0.007066 0.117921 0.127915 2
36 362 0.120586 0.001884 0.119254 0.121919 2
37 362 0.120586 0.012248 0.111925 0.129247 2
38 357 0.118921 0.007066 0.113924 0.123917 2
39 351 0.116922 0.001413 0.115923 0.117921 2
40 347 0.115590 0.006124 0.111259 0.119920 2
41 346 0.115256 0.015075 0.104597 0.125916 2
42 345 0.114923 0.007066 0.109927 0.119920 2
43 344 0.114590 0.005653 0.110593 0.118588 2
44 344 0.114590 0.016017 0.103264 0.125916 2
45 344 0.114590 0.003769 0.111925 0.117255 2
46 343 0.114257 0.010835 0.106596 0.121919 2
47 341 0.113591 0.007066 0.108594 0.118588 2
48 340 0.113258 0.006595 0.108594 0.117921 2
49 340 0.113258 0.001884 0.111925 0.114590 2
50 340 0.113258 0.001884 0.111925 0.114590 2
51 339 0.112925 0.007066 0.107928 0.117921 2
52 338 0.112592 0.007537 0.107262 0.117921 2
53 337 0.112258 0.013662 0.102598 0.121919 2
54 335 0.111592 0.019315 0.097935 0.125250 2
55 335 0.111592 0.006124 0.107262 0.115923 2
56 332 0.110593 0.009422 0.103931 0.117255 2
57 332 0.110593 0.002827 0.108594 0.112592 2
58 332 0.110593 0.011306 0.102598 0.118588 2
59 329 0.109594 0.003298 0.107262 0.111925 2
60 329 0.109594 0.000471 0.109260 0.109927 2
61 325 0.108261 0.007066 0.103264 0.113258 2
62 323 0.107595 0.008951 0.101266 0.113924 2
63 322 0.107262 0.000942 0.106596 0.107928 2
64 322 0.107262 0.002827 0.105263 0.109260 2
65 320 0.106596 0.007537 0.101266 0.111925 2
66 320 0.106596 0.014133 0.096602 0.116589 2
67 320 0.106596 0.018844 0.093271 0.119920 2
68 317 0.105596 0.008009 0.099933 0.111259 2
69 317 0.105596 0.000471 0.105263 0.105929 2
70 315 0.104930 0.002355 0.103264 0.106596 2
71 311 0.103598 0.000471 0.103264 0.103931 2
72 310 0.103264 0.002827 0.101266 0.105263 2
73 310 0.103264 0.000942 0.102598 0.103931 2
74 308 0.102598 0.005653 0.098601 0.106596 2
75 306 0.101932 0.002827 0.099933 0.103931 2
76 302 0.100600 0.000942 0.099933 0.101266 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] 0.000512 0.000000 0.000000 0.001623 0.000335 1.000 2
length{all}[2] 0.000516 0.000000 0.000000 0.001584 0.000335 1.000 2
length{all}[3] 0.000526 0.000000 0.000000 0.001637 0.000350 1.000 2
length{all}[4] 0.000499 0.000000 0.000000 0.001553 0.000330 1.000 2
length{all}[5] 0.000528 0.000000 0.000000 0.001600 0.000337 1.000 2
length{all}[6] 0.000520 0.000000 0.000000 0.001636 0.000339 1.000 2
length{all}[7] 0.000508 0.000000 0.000000 0.001585 0.000332 1.000 2
length{all}[8] 0.000518 0.000000 0.000000 0.001624 0.000339 1.000 2
length{all}[9] 0.000549 0.000000 0.000000 0.001671 0.000371 1.001 2
length{all}[10] 0.000515 0.000000 0.000000 0.001611 0.000338 1.000 2
length{all}[11] 0.000499 0.000000 0.000000 0.001527 0.000325 1.000 2
length{all}[12] 0.001016 0.000001 0.000017 0.002621 0.000795 1.002 2
length{all}[13] 0.000535 0.000000 0.000000 0.001707 0.000349 1.002 2
length{all}[14] 0.000515 0.000000 0.000001 0.001570 0.000348 1.000 2
length{all}[15] 0.000529 0.000000 0.000000 0.001623 0.000360 1.001 2
length{all}[16] 0.000511 0.000000 0.000000 0.001638 0.000326 1.000 2
length{all}[17] 0.001552 0.000001 0.000098 0.003627 0.001299 1.000 2
length{all}[18] 0.000505 0.000000 0.000000 0.001500 0.000334 1.000 2
length{all}[19] 0.001021 0.000001 0.000035 0.002571 0.000813 1.000 2
length{all}[20] 0.000503 0.000000 0.000000 0.001659 0.000316 1.001 2
length{all}[21] 0.000532 0.000000 0.000000 0.001669 0.000363 1.001 2
length{all}[22] 0.000523 0.000000 0.000000 0.001598 0.000346 1.000 2
length{all}[23] 0.000534 0.000000 0.000001 0.001701 0.000346 1.000 2
length{all}[24] 0.000540 0.000000 0.000000 0.001662 0.000353 1.000 2
length{all}[25] 0.000498 0.000000 0.000000 0.001567 0.000324 1.000 2
length{all}[26] 0.000496 0.000000 0.000000 0.001595 0.000319 1.000 2
length{all}[27] 0.000517 0.000000 0.000000 0.001619 0.000337 1.000 2
length{all}[28] 0.000521 0.000000 0.000000 0.001679 0.000329 1.000 2
length{all}[29] 0.000517 0.000000 0.000000 0.001618 0.000342 1.000 2
length{all}[30] 0.001067 0.000001 0.000004 0.002660 0.000857 1.000 2
length{all}[31] 0.001562 0.000001 0.000137 0.003720 0.001285 1.000 2
length{all}[32] 0.001022 0.000001 0.000041 0.002635 0.000822 1.000 2
length{all}[33] 0.001019 0.000001 0.000016 0.002595 0.000796 1.000 2
length{all}[34] 0.001026 0.000001 0.000021 0.002559 0.000821 1.001 2
length{all}[35] 0.000536 0.000000 0.000002 0.001682 0.000346 1.005 2
length{all}[36] 0.000520 0.000000 0.000003 0.001636 0.000341 0.998 2
length{all}[37] 0.000476 0.000000 0.000000 0.001506 0.000302 1.003 2
length{all}[38] 0.000554 0.000000 0.000003 0.001789 0.000354 0.997 2
length{all}[39] 0.000547 0.000000 0.000001 0.001651 0.000361 0.998 2
length{all}[40] 0.000460 0.000000 0.000000 0.001577 0.000282 1.000 2
length{all}[41] 0.000516 0.000000 0.000001 0.001605 0.000327 0.998 2
length{all}[42] 0.000519 0.000000 0.000001 0.001514 0.000378 0.998 2
length{all}[43] 0.000510 0.000000 0.000000 0.001380 0.000350 0.999 2
length{all}[44] 0.000466 0.000000 0.000003 0.001350 0.000322 0.997 2
length{all}[45] 0.000492 0.000000 0.000001 0.001588 0.000310 0.998 2
length{all}[46] 0.000494 0.000000 0.000004 0.001474 0.000300 0.997 2
length{all}[47] 0.000512 0.000000 0.000001 0.001695 0.000349 1.005 2
length{all}[48] 0.000513 0.000000 0.000003 0.001472 0.000325 1.006 2
length{all}[49] 0.000481 0.000000 0.000001 0.001682 0.000300 0.997 2
length{all}[50] 0.000504 0.000000 0.000000 0.001453 0.000350 1.001 2
length{all}[51] 0.000504 0.000000 0.000002 0.001433 0.000349 0.997 2
length{all}[52] 0.000434 0.000000 0.000001 0.001315 0.000279 0.997 2
length{all}[53] 0.000549 0.000000 0.000002 0.001917 0.000346 1.008 2
length{all}[54] 0.000486 0.000000 0.000000 0.001489 0.000307 1.002 2
length{all}[55] 0.000552 0.000000 0.000003 0.001574 0.000359 0.999 2
length{all}[56] 0.000549 0.000000 0.000001 0.001621 0.000357 0.999 2
length{all}[57] 0.000542 0.000000 0.000001 0.001633 0.000354 1.003 2
length{all}[58] 0.000500 0.000000 0.000007 0.001531 0.000303 0.997 2
length{all}[59] 0.000540 0.000000 0.000001 0.001623 0.000381 0.998 2
length{all}[60] 0.000500 0.000000 0.000003 0.001497 0.000319 1.001 2
length{all}[61] 0.000535 0.000000 0.000000 0.001890 0.000315 1.005 2
length{all}[62] 0.000487 0.000000 0.000000 0.001616 0.000321 0.998 2
length{all}[63] 0.000488 0.000000 0.000002 0.001644 0.000316 1.013 2
length{all}[64] 0.000504 0.000000 0.000000 0.001466 0.000331 0.998 2
length{all}[65] 0.000518 0.000000 0.000006 0.001668 0.000366 0.998 2
length{all}[66] 0.000496 0.000000 0.000000 0.001640 0.000314 0.997 2
length{all}[67] 0.000474 0.000000 0.000000 0.001541 0.000302 0.998 2
length{all}[68] 0.000511 0.000000 0.000001 0.001408 0.000355 1.013 2
length{all}[69] 0.000499 0.000000 0.000000 0.001459 0.000342 0.997 2
length{all}[70] 0.000514 0.000000 0.000002 0.001641 0.000319 0.997 2
length{all}[71] 0.000502 0.000000 0.000003 0.001502 0.000329 0.997 2
length{all}[72] 0.000492 0.000000 0.000000 0.001478 0.000329 0.997 2
length{all}[73] 0.000483 0.000000 0.000001 0.001524 0.000286 0.997 2
length{all}[74] 0.000538 0.000000 0.000001 0.001749 0.000354 0.997 2
length{all}[75] 0.000509 0.000000 0.000004 0.001505 0.000380 0.997 2
length{all}[76] 0.000511 0.000000 0.000001 0.001669 0.000334 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.006206
Maximum standard deviation of split frequencies = 0.019315
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.013
Clade credibility values:
/--------------------------------------------------------------------- C65 (1)
|
|--------------------------------------------------------------------- C67 (3)
|
|--------------------------------------------------------------------- C80 (9)
|
|--------------------------------------------------------------------- C81 (10)
|
|--------------------------------------------------------------------- C87 (12)
|
|--------------------------------------------------------------------- C131 (24)
|
|--------------------------------------------------------------------- C136 (27)
|
| /----------------------- C10 (2)
| |
| |----------------------- C9 (4)
| |
| |----------------------- C16 (8)
| /----------99----------+
| | |----------------------- C15 (20)
| | |
| | |----------------------- C11 (22)
| | |
+ | \----------------------- C18 (25)
| |
| | /----------------------- C73 (5)
| |----------99----------+
|----------100---------+ \----------------------- C107 (14)
| |
| |---------------------------------------------- C58 (11)
| |
| |---------------------------------------------- C8 (18)
| |
| |---------------------------------------------- C7 (28)
| |
| \---------------------------------------------- C25 (29)
|
| /----------------------- C72 (6)
| |
| |----------------------- C74 (7)
| |
| |----------------------- C60 (13)
| |
| |----------------------- C115 (15)
| |
| |----------------------- C114 (16)
| |
\----------------------95---------------------+----------------------- C61 (17)
|
|----------------------- C117 (19)
|
|----------------------- C124 (21)
|
|----------------------- C130 (23)
|
|----------------------- C77 (26)
|
\----------------------- C84 (30)
Phylogram (based on average branch lengths):
/--------- C65 (1)
|
|---------- C67 (3)
|
|---------- C80 (9)
|
|--------- C81 (10)
|
|---------------------- C87 (12)
|
|---------- C131 (24)
|
|--------- C136 (27)
|
| /---------- C10 (2)
| |
| |---------- C9 (4)
| |
| |---------- C16 (8)
| /---------------------+
| | |--------- C15 (20)
| | |
| | |---------- C11 (22)
| | |
+ | \---------- C18 (25)
| |
| | /---------- C73 (5)
| |----------------------+
|-----------------------------------+ \---------- C107 (14)
| |
| |--------- C58 (11)
| |
| |--------- C8 (18)
| |
| |--------- C7 (28)
| |
| \---------- C25 (29)
|
| /---------- C72 (6)
| |
| |--------- C74 (7)
| |
| |---------- C60 (13)
| |
| |---------- C115 (15)
| |
| |--------- C114 (16)
| |
\----------------------+------------------------------------- C61 (17)
|
|----------------------- C117 (19)
|
|---------- C124 (21)
|
|---------- C130 (23)
|
|--------- C77 (26)
|
\------------------------ C84 (30)
|-------------| 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 Thu Dec 22 09:28:13 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 18:59:33 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result/original_alignment/codeml,Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.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 C107 327 sites
reading seq# 2 C114 327 sites
reading seq# 3 C115 327 sites
reading seq# 4 C58 327 sites
reading seq# 5 C8 327 sites
reading seq# 6 C61 327 sites
reading seq# 7 C117 327 sites
reading seq# 8 C60 327 sites
reading seq# 9 C7 327 sites
reading seq#10 C15 327 sites
reading seq#11 C10 327 sites
reading seq#12 C65 327 sites
reading seq#13 C67 327 sites
reading seq#14 C124 327 sites
reading seq#15 C11 327 sites
reading seq#16 C73 327 sites
reading seq#17 C9 327 sites
reading seq#18 C72 327 sites
reading seq#19 C131 327 sites
reading seq#20 C130 327 sites
reading seq#21 C16 327 sites
reading seq#22 C74 327 sites
reading seq#23 C77 327 sites
reading seq#24 C136 327 sites
reading seq#25 C18 327 sites
reading seq#26 C81 327 sites
reading seq#27 C80 327 sites
reading seq#28 C84 327 sites
reading seq#29 C25 327 sites
reading seq#30 C87 327 sitesns = 30 ls = 327
Reading sequences, sequential format..
Reading seq # 1: C107
Reading seq # 2: C114
Reading seq # 3: C115
Reading seq # 4: C58
Reading seq # 5: C8
Reading seq # 6: C61
Reading seq # 7: C117
Reading seq # 8: C60
Reading seq # 9: C7
Reading seq #10: C15
Reading seq #11: C10
Reading seq #12: C65
Reading seq #13: C67
Reading seq #14: C124
Reading seq #15: C11
Reading seq #16: C73
Reading seq #17: C9
Reading seq #18: C72
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C16
Reading seq #22: C74
Reading seq #23: C77
Reading seq #24: C136
Reading seq #25: C18
Reading seq #26: C81
Reading seq #27: C80
Reading seq #28: C84
Reading seq #29: C25
Reading seq #30: C87
Sequences read..
Counting site patterns.. 0:00
Compressing, 54 patterns at 109 / 109 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 54 patterns at 109 / 109 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
52704 bytes for conP
4752 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
131760 bytes for conP, adjusted
0.063706 0.030196 0.059149 0.015456 0.077139 0.013951 0.103953 0.023883 0.073226 0.042738 0.088599 0.082472 0.108390 0.088270 0.061205 0.101541 0.050020 0.040529 0.083755 0.063220 0.068677 0.070889 0.065663 0.100359 0.092311 0.082656 0.089822 0.108918 0.102180 0.084931 0.098308 0.067304 0.025148 0.100761 0.300000 0.779819 0.105317
ntime & nrate & np: 34 2 37
Bounds (np=37):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 19.422488
np = 37
lnL0 = -678.339134
Iterating by ming2
Initial: fx= 678.339134
x= 0.06371 0.03020 0.05915 0.01546 0.07714 0.01395 0.10395 0.02388 0.07323 0.04274 0.08860 0.08247 0.10839 0.08827 0.06121 0.10154 0.05002 0.04053 0.08375 0.06322 0.06868 0.07089 0.06566 0.10036 0.09231 0.08266 0.08982 0.10892 0.10218 0.08493 0.09831 0.06730 0.02515 0.10076 0.30000 0.77982 0.10532
1 h-m-p 0.0000 0.0002 445.8926 +++ 640.393464 m 0.0002 43 | 1/37
2 h-m-p 0.0000 0.0000 377.8293 ++ 638.119828 m 0.0000 83 | 2/37
3 h-m-p 0.0000 0.0000 2680.9249 ++ 622.790093 m 0.0000 123 | 3/37
4 h-m-p 0.0000 0.0002 186.8555 ++ 616.784452 m 0.0002 163 | 4/37
5 h-m-p 0.0001 0.0003 163.9326 ++ 605.553391 m 0.0003 203 | 5/37
6 h-m-p 0.0000 0.0000 450096.5824 ++ 601.395484 m 0.0000 243 | 6/37
7 h-m-p 0.0000 0.0000 228860.8128 ++ 595.733079 m 0.0000 283 | 7/37
8 h-m-p 0.0000 0.0000 5697.6429 ++ 584.583172 m 0.0000 323 | 8/37
9 h-m-p 0.0000 0.0000 159882.1713 ++ 581.061336 m 0.0000 363 | 9/37
10 h-m-p 0.0000 0.0000 3123.7522 ++ 580.445481 m 0.0000 403 | 10/37
11 h-m-p 0.0000 0.0000 22434.6568 ++ 579.888377 m 0.0000 443 | 11/37
12 h-m-p 0.0000 0.0000 2316.8042 ++ 578.069581 m 0.0000 483 | 12/37
13 h-m-p 0.0000 0.0000 13459.6405 ++ 576.258074 m 0.0000 523 | 13/37
14 h-m-p 0.0000 0.0000 2169.8842 ++ 574.509784 m 0.0000 563 | 14/37
15 h-m-p 0.0000 0.0000 8367.4947 ++ 566.533295 m 0.0000 603 | 15/37
16 h-m-p 0.0000 0.0000 2308.1372 ++ 565.010104 m 0.0000 643 | 16/37
17 h-m-p 0.0000 0.0000 5117.6888 ++ 563.420260 m 0.0000 683 | 17/37
18 h-m-p 0.0000 0.0000 1671.4341 ++ 561.927851 m 0.0000 723 | 18/37
19 h-m-p 0.0000 0.0000 3094.7510 ++ 560.606469 m 0.0000 763 | 19/37
20 h-m-p 0.0000 0.0000 1201.0138 ++ 560.068439 m 0.0000 803 | 20/37
21 h-m-p 0.0000 0.0000 1964.1374 ++ 559.925318 m 0.0000 843 | 21/37
22 h-m-p 0.0000 0.0000 926.6632 ++ 558.238878 m 0.0000 883 | 22/37
23 h-m-p 0.0000 0.0000 968.9640 ++ 557.818075 m 0.0000 923 | 22/37
24 h-m-p 0.0000 0.0000 5281.9694
h-m-p: 1.17249686e-23 5.86248431e-23 5.28196940e+03 557.818075
.. | 22/37
25 h-m-p 0.0000 0.0000 285.8794 ++ 557.047974 m 0.0000 1000 | 23/37
26 h-m-p 0.0000 0.0000 698.5261 ++ 554.634835 m 0.0000 1040 | 23/37
27 h-m-p -0.0000 -0.0000 8433.3928
h-m-p: -1.41234620e-23 -7.06173099e-23 8.43339282e+03 554.634835
.. | 23/37
28 h-m-p 0.0000 0.0000 256.8975 ++ 552.018370 m 0.0000 1117 | 24/37
29 h-m-p 0.0000 0.0000 814.9138 ++ 550.223998 m 0.0000 1157 | 25/37
30 h-m-p 0.0000 0.0000 421520.4344 ++ 547.436376 m 0.0000 1197 | 26/37
31 h-m-p 0.0000 0.0000 687.4576 ++ 545.387207 m 0.0000 1237 | 26/37
32 h-m-p -0.0000 -0.0000 9132.6379
h-m-p: -1.93787718e-23 -9.68938590e-23 9.13263792e+03 545.387207
.. | 26/37
33 h-m-p 0.0000 0.0010 185.0140 +++YCYYYCC 520.454702 6 0.0009 1326 | 26/37
34 h-m-p 0.0000 0.0001 536.9131 +YYCYCC 518.427293 5 0.0000 1374 | 26/37
35 h-m-p 0.0000 0.0001 375.8408 YCCCCC 517.568340 5 0.0000 1423 | 26/37
36 h-m-p 0.0000 0.0002 151.0550 YCYCCC 516.816861 5 0.0001 1471 | 26/37
37 h-m-p 0.0000 0.0002 288.4980 +YYCYCCC 514.928270 6 0.0001 1521 | 26/37
38 h-m-p 0.0001 0.0003 61.4899 CCC 514.856553 2 0.0001 1565 | 26/37
39 h-m-p 0.0001 0.0024 43.7829 +YCY 514.536608 2 0.0006 1609 | 26/37
40 h-m-p 0.0001 0.0011 191.1412 YCCC 513.891643 3 0.0003 1654 | 26/37
41 h-m-p 0.0005 0.0023 101.7876 YCCCC 513.623714 4 0.0003 1701 | 26/37
42 h-m-p 0.0007 0.0064 38.2518 +CYCCC 512.454648 4 0.0035 1749 | 26/37
43 h-m-p 0.0040 0.0202 1.8693 ++ 512.364732 m 0.0202 1789 | 27/37
44 h-m-p 0.1889 1.7954 0.1195 +YYYYCC 511.804962 5 0.7321 1836 | 27/37
45 h-m-p 0.7812 8.0000 0.1120 YCCC 511.381394 3 1.3297 1891 | 27/37
46 h-m-p 0.9791 4.8957 0.1210 YCCCC 511.215792 4 1.0529 1948 | 27/37
47 h-m-p 0.7397 4.7389 0.1722 CC 511.056969 1 0.9323 2000 | 27/37
48 h-m-p 1.6000 8.0000 0.0520 YCCC 510.994730 3 2.6528 2055 | 27/37
49 h-m-p 1.6000 8.0000 0.0287 CCC 510.985911 2 1.3485 2109 | 27/37
50 h-m-p 1.6000 8.0000 0.0018 CC 510.985502 1 1.3057 2161 | 27/37
51 h-m-p 1.6000 8.0000 0.0012 C 510.985411 0 1.6312 2211 | 27/37
52 h-m-p 1.6000 8.0000 0.0004 C 510.985395 0 1.6036 2261 | 27/37
53 h-m-p 1.6000 8.0000 0.0004 Y 510.985393 0 1.2677 2311 | 27/37
54 h-m-p 1.6000 8.0000 0.0001 C 510.985393 0 1.3743 2361 | 27/37
55 h-m-p 1.6000 8.0000 0.0000 C 510.985393 0 1.3416 2411 | 27/37
56 h-m-p 1.6000 8.0000 0.0000 Y 510.985393 0 1.2088 2461 | 27/37
57 h-m-p 1.6000 8.0000 0.0000 C 510.985393 0 1.5808 2511 | 27/37
58 h-m-p 1.5196 8.0000 0.0000 Y 510.985393 0 2.4678 2561 | 27/37
59 h-m-p 1.6000 8.0000 0.0000 C 510.985393 0 0.4000 2611 | 27/37
60 h-m-p 0.7102 8.0000 0.0000 Y 510.985393 0 0.4496 2661 | 27/37
61 h-m-p 0.8740 8.0000 0.0000 ----------C 510.985393 0 0.0000 2721
Out..
lnL = -510.985393
2722 lfun, 8166 eigenQcodon, 185096 P(t)
end of tree file.
Time used: 0:48
Model 2: PositiveSelection
TREE # 1
(12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
0.052071 0.095504 0.076957 0.086399 0.086927 0.086341 0.102717 0.080920 0.106413 0.068884 0.038098 0.105087 0.084665 0.071805 0.048292 0.072766 0.012810 0.025440 0.037474 0.104352 0.018027 0.105280 0.033442 0.050882 0.061804 0.086319 0.069422 0.012582 0.072093 0.019163 0.105225 0.100293 0.039023 0.013870 1.011239 1.749565 0.365949 0.375555 1.514310
ntime & nrate & np: 34 3 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 0.000100 -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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 9.122086
np = 39
lnL0 = -693.190636
Iterating by ming2
Initial: fx= 693.190636
x= 0.05207 0.09550 0.07696 0.08640 0.08693 0.08634 0.10272 0.08092 0.10641 0.06888 0.03810 0.10509 0.08467 0.07181 0.04829 0.07277 0.01281 0.02544 0.03747 0.10435 0.01803 0.10528 0.03344 0.05088 0.06180 0.08632 0.06942 0.01258 0.07209 0.01916 0.10522 0.10029 0.03902 0.01387 1.01124 1.74957 0.36595 0.37556 1.51431
1 h-m-p 0.0000 0.0002 464.5096 ++ 660.858502 m 0.0002 44 | 1/39
2 h-m-p 0.0000 0.0000 47555.2710 ++ 660.382367 m 0.0000 86 | 2/39
3 h-m-p 0.0000 0.0000 13062.8828 ++ 647.966531 m 0.0000 128 | 3/39
4 h-m-p 0.0000 0.0000 1035.7585 ++ 631.429762 m 0.0000 170 | 4/39
5 h-m-p 0.0000 0.0001 579.6400 ++ 608.351573 m 0.0001 212 | 5/39
6 h-m-p 0.0000 0.0000 221.7569 ++ 607.208913 m 0.0000 254 | 6/39
7 h-m-p 0.0000 0.0000 621441.8784 ++ 606.094566 m 0.0000 296 | 7/39
8 h-m-p 0.0000 0.0000 1780.2219 ++ 590.862692 m 0.0000 338 | 8/39
9 h-m-p 0.0000 0.0000 760.4444 ++ 588.483612 m 0.0000 380 | 9/39
10 h-m-p 0.0000 0.0000 2029.1138 ++ 586.375233 m 0.0000 422 | 10/39
11 h-m-p 0.0000 0.0000 8822.4662 ++ 574.649513 m 0.0000 464 | 11/39
12 h-m-p 0.0000 0.0000 4778.4989 ++ 565.627568 m 0.0000 506 | 12/39
13 h-m-p 0.0000 0.0000 728921.8064 ++ 563.347961 m 0.0000 548 | 13/39
14 h-m-p 0.0000 0.0000 72974.1785 ++ 560.121066 m 0.0000 590 | 14/39
15 h-m-p 0.0000 0.0000 5726.6877 ++ 556.882605 m 0.0000 632 | 15/39
16 h-m-p 0.0000 0.0000 152831.9036 ++ 549.911668 m 0.0000 674 | 16/39
17 h-m-p 0.0000 0.0000 43592.4033 ++ 548.774322 m 0.0000 716 | 17/39
18 h-m-p 0.0000 0.0000 28718.0292 ++ 548.732341 m 0.0000 758 | 18/39
19 h-m-p 0.0000 0.0000 1641.7698 ++ 548.198347 m 0.0000 800 | 19/39
20 h-m-p 0.0000 0.0000 8376.8030 ++ 543.642610 m 0.0000 842 | 20/39
21 h-m-p 0.0000 0.0000 3763.9899 ++ 542.227474 m 0.0000 884 | 21/39
22 h-m-p 0.0000 0.0000 3918.1889 ++ 540.605874 m 0.0000 926 | 22/39
23 h-m-p 0.0000 0.0000 1149.7696 ++ 540.407415 m 0.0000 968 | 23/39
24 h-m-p 0.0000 0.0000 1044.1320 ++ 539.803199 m 0.0000 1010 | 24/39
25 h-m-p 0.0000 0.0000 495.2963 ++ 539.650352 m 0.0000 1052 | 25/39
26 h-m-p 0.0000 0.0000 226.8400 ++ 539.524313 m 0.0000 1094 | 26/39
27 h-m-p 0.0000 0.0016 52.1251 +++YCYYYCYCCC 533.660488 10 0.0014 1153 | 26/39
28 h-m-p 0.0007 0.0034 32.9728 +YYYYYCCCCC 528.632118 9 0.0028 1209 | 26/39
29 h-m-p 0.0004 0.0022 15.3250 YCYCCC 528.390444 5 0.0009 1259 | 26/39
30 h-m-p 0.0004 0.0238 32.9418 ++YCYYYYC 512.599886 6 0.0211 1311 | 26/39
31 h-m-p 0.0012 0.0061 8.4759 CCCCC 512.382328 4 0.0018 1361 | 26/39
32 h-m-p 0.0125 0.0898 1.1991 +YYYCYCCCC 511.412593 8 0.0582 1416 | 26/39
33 h-m-p 0.1221 0.6107 0.2613 CYCCC 511.260442 4 0.1989 1465 | 26/39
34 h-m-p 0.1008 1.6857 0.5155 YCCC 511.120335 3 0.2168 1525 | 26/39
35 h-m-p 0.1960 0.9798 0.4637 YYC 511.064664 2 0.1696 1582 | 26/39
36 h-m-p 0.1618 0.8090 0.2609 YCC 511.055175 2 0.0683 1640 | 26/39
37 h-m-p 0.1373 5.1519 0.1297 +CCC 511.031473 2 0.8033 1700 | 26/39
38 h-m-p 1.0214 8.0000 0.1020 +YC 510.955272 1 2.6036 1757 | 26/39
39 h-m-p 0.3805 1.9025 0.3135 YC 510.890745 1 0.7215 1813 | 26/39
40 h-m-p 0.0808 0.4040 0.5307 ++ 510.776875 m 0.4040 1868 | 27/39
41 h-m-p 0.7687 5.3096 0.2668 YCCC 510.640104 3 1.3860 1928 | 27/39
42 h-m-p 0.4586 8.0000 0.8064 CC 510.587812 1 0.4332 1984 | 27/39
43 h-m-p 1.0064 5.6349 0.3471 CCCC 510.498479 3 1.3921 2044 | 27/39
44 h-m-p 1.4832 8.0000 0.3258 CYC 510.443167 2 1.6856 2101 | 27/39
45 h-m-p 1.3712 8.0000 0.4005 CCC 510.398115 2 1.9213 2159 | 27/39
46 h-m-p 1.6000 8.0000 0.2273 CC 510.390459 1 1.3102 2215 | 27/39
47 h-m-p 1.6000 8.0000 0.0836 YC 510.389885 1 1.1521 2270 | 27/39
48 h-m-p 1.6000 8.0000 0.0248 C 510.389761 0 1.4880 2324 | 27/39
49 h-m-p 1.6000 8.0000 0.0173 ++ 510.389141 m 8.0000 2378 | 27/39
50 h-m-p 0.9574 8.0000 0.1443 ++ 510.385775 m 8.0000 2432 | 27/39
51 h-m-p 1.6000 8.0000 0.1686 CC 510.382671 1 2.0741 2488 | 27/39
52 h-m-p 0.8784 8.0000 0.3980 YC 510.381962 1 1.5623 2543 | 27/39
53 h-m-p 1.6000 8.0000 0.2507 YC 510.381291 1 3.4825 2598 | 27/39
54 h-m-p 1.6000 8.0000 0.3549 CY 510.380984 1 1.8919 2654 | 27/39
55 h-m-p 1.6000 8.0000 0.3460 YC 510.380837 1 3.1205 2709 | 27/39
56 h-m-p 1.6000 8.0000 0.3235 C 510.380786 0 2.2008 2763 | 27/39
57 h-m-p 1.6000 8.0000 0.3434 Y 510.380762 0 2.8636 2817 | 27/39
58 h-m-p 1.6000 8.0000 0.3345 C 510.380752 0 2.2752 2871 | 27/39
59 h-m-p 1.6000 8.0000 0.3559 Y 510.380748 0 2.7504 2925 | 27/39
60 h-m-p 1.6000 8.0000 0.3429 C 510.380747 0 2.2933 2979 | 27/39
61 h-m-p 1.6000 8.0000 0.3515 Y 510.380746 0 2.7857 3033 | 27/39
62 h-m-p 1.6000 8.0000 0.3472 C 510.380746 0 2.3291 3087 | 27/39
63 h-m-p 1.6000 8.0000 0.3471 Y 510.380745 0 2.7644 3141 | 27/39
64 h-m-p 1.6000 8.0000 0.3539 C 510.380745 0 2.4164 3195 | 27/39
65 h-m-p 1.6000 8.0000 0.3397 Y 510.380745 0 2.5958 3249 | 27/39
66 h-m-p 1.6000 8.0000 0.3683 Y 510.380745 0 2.7359 3303 | 27/39
67 h-m-p 1.6000 8.0000 0.3553 C 510.380745 0 2.2511 3357 | 27/39
68 h-m-p 1.6000 8.0000 0.3248 Y 510.380745 0 2.9543 3411 | 27/39
69 h-m-p 1.6000 8.0000 0.4772 Y 510.380745 0 2.8167 3465 | 27/39
70 h-m-p 1.6000 8.0000 0.7598 Y 510.380745 0 3.4743 3519 | 27/39
71 h-m-p 1.6000 8.0000 0.0386 Y 510.380745 0 0.8054 3573 | 27/39
72 h-m-p 1.6000 8.0000 0.0135 C 510.380745 0 0.5408 3627 | 27/39
73 h-m-p 1.1755 8.0000 0.0062 -C 510.380745 0 0.0735 3682 | 27/39
74 h-m-p 0.0801 8.0000 0.0057 Y 510.380745 0 0.0801 3736 | 27/39
75 h-m-p 0.0160 8.0000 0.0922 ----------Y 510.380745 0 0.0000 3800 | 27/39
76 h-m-p 0.0160 8.0000 0.0001 ------------Y 510.380745 0 0.0000 3866 | 27/39
77 h-m-p 0.0160 8.0000 0.0001 ----------Y 510.380745 0 0.0000 3930
Out..
lnL = -510.380745
3931 lfun, 15724 eigenQcodon, 400962 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) = -513.904879 S = -493.264820 -20.874974
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 54 patterns 2:33
did 20 / 54 patterns 2:33
did 30 / 54 patterns 2:33
did 40 / 54 patterns 2:33
did 50 / 54 patterns 2:33
did 54 / 54 patterns 2:33end of tree file.
Time used: 2:33
Model 7: beta
TREE # 1
(12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
0.063448 0.081264 0.046080 0.045828 0.048608 0.095977 0.047654 0.106676 0.101882 0.027540 0.090223 0.023243 0.014005 0.102253 0.063866 0.095948 0.068226 0.088338 0.042730 0.012157 0.018214 0.013704 0.057018 0.090274 0.042809 0.014089 0.066060 0.019037 0.094823 0.035006 0.037136 0.052976 0.036062 0.085933 1.111773 1.197523 1.899523
ntime & nrate & np: 34 1 37
Bounds (np=37):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 11.854940
np = 37
lnL0 = -668.251826
Iterating by ming2
Initial: fx= 668.251826
x= 0.06345 0.08126 0.04608 0.04583 0.04861 0.09598 0.04765 0.10668 0.10188 0.02754 0.09022 0.02324 0.01400 0.10225 0.06387 0.09595 0.06823 0.08834 0.04273 0.01216 0.01821 0.01370 0.05702 0.09027 0.04281 0.01409 0.06606 0.01904 0.09482 0.03501 0.03714 0.05298 0.03606 0.08593 1.11177 1.19752 1.89952
1 h-m-p 0.0000 0.0001 479.6581 ++ 635.387773 m 0.0001 42 | 1/37
2 h-m-p 0.0000 0.0001 296.6842 +YYCYYYYC 629.211208 7 0.0001 91 | 1/37
3 h-m-p 0.0000 0.0002 253.5074 ++ 625.050902 m 0.0002 131 | 3/37
4 h-m-p 0.0000 0.0001 296.6185 ++ 621.661875 m 0.0001 171 | 4/37
5 h-m-p 0.0000 0.0002 512.3606 ++ 607.115788 m 0.0002 211 | 5/37
6 h-m-p 0.0000 0.0000 905.9009 ++ 605.938078 m 0.0000 251 | 6/37
7 h-m-p 0.0000 0.0000 1419699.4523 ++ 591.862962 m 0.0000 291 | 7/37
8 h-m-p 0.0000 0.0000 1023.5497 ++ 582.017386 m 0.0000 331 | 8/37
9 h-m-p 0.0000 0.0000 12611.5791 ++ 571.954894 m 0.0000 371 | 9/37
10 h-m-p 0.0000 0.0000 1856.6780 ++ 570.001413 m 0.0000 411 | 10/37
11 h-m-p 0.0000 0.0000 4581.1362 ++ 560.566030 m 0.0000 451 | 11/37
12 h-m-p 0.0000 0.0000 3292.6681 ++ 555.111020 m 0.0000 491 | 12/37
13 h-m-p 0.0000 0.0000 3104.2999 ++ 552.893155 m 0.0000 531 | 13/37
14 h-m-p 0.0000 0.0000 2124.5489 ++ 552.545408 m 0.0000 571 | 14/37
15 h-m-p 0.0000 0.0000 109700.7722 ++ 550.531258 m 0.0000 611 | 15/37
16 h-m-p 0.0000 0.0000 1314.8530 ++ 546.645144 m 0.0000 651 | 16/37
17 h-m-p 0.0000 0.0000 29903.1813 ++ 533.480087 m 0.0000 691 | 17/37
18 h-m-p 0.0000 0.0000 428.4592 ++ 533.097245 m 0.0000 731 | 18/37
19 h-m-p 0.0000 0.0000 59457.2665 ++ 530.328546 m 0.0000 771 | 19/37
20 h-m-p 0.0000 0.0000 1031.9130 ++ 527.366262 m 0.0000 811 | 20/37
21 h-m-p 0.0000 0.0000 4979.9748 ++ 520.984642 m 0.0000 851 | 21/37
22 h-m-p 0.0000 0.0000 544.8680 ++ 517.621465 m 0.0000 891 | 22/37
23 h-m-p 0.0000 0.0000 1875.9746 ++ 515.905230 m 0.0000 931 | 23/37
24 h-m-p 0.0000 0.0000 667.0773 ++ 515.377379 m 0.0000 971 | 24/37
25 h-m-p 0.0000 0.0000 857.9885 ++ 514.902249 m 0.0000 1011 | 25/37
26 h-m-p 0.0000 0.0000 289.7540 ++ 513.872131 m 0.0000 1051 | 26/37
27 h-m-p 0.0067 0.0577 0.8146 +YYCYCCC 512.875022 6 0.0321 1101 | 26/37
28 h-m-p 0.0050 0.0251 1.8514 CCCC 512.473309 3 0.0081 1158 | 26/37
29 h-m-p 0.0077 0.0503 1.9621 YCCCC 512.201839 4 0.0172 1205 | 26/37
30 h-m-p 0.0354 0.1771 0.6199 YCC 512.124393 2 0.0211 1248 | 26/37
31 h-m-p 0.0083 1.4510 1.5667 ++CCCC 511.709059 3 0.1326 1307 | 26/37
32 h-m-p 0.4322 2.1610 0.1805 CYCCC 511.533515 4 0.7356 1354 | 26/37
33 h-m-p 0.6924 6.8040 0.1918 +YYCC 511.483076 3 2.0395 1410 | 26/37
34 h-m-p 0.4543 2.2713 0.5772 CCCCC 511.444083 4 0.6244 1469 | 26/37
35 h-m-p 0.1550 0.7748 1.3931 +YYYCYC 511.329334 5 0.5666 1527 | 26/37
36 h-m-p 0.0059 0.0295 10.2421 CYCCC 511.320311 4 0.0091 1574 | 26/37
37 h-m-p 0.0537 0.2686 0.8359 ++ 511.088000 m 0.2686 1614 | 26/37
38 h-m-p 1.2138 7.1687 0.1850 --C 511.085603 0 0.0190 1667 | 26/37
39 h-m-p 0.0017 0.0083 0.4830 ++ 511.081637 m 0.0083 1718 | 26/37
40 h-m-p -0.0000 -0.0000 0.0172
h-m-p: -0.00000000e+00 -0.00000000e+00 1.72036109e-02 511.081637
.. | 26/37
41 h-m-p 0.0000 0.0005 35.0717 ++YYCC 511.004802 3 0.0001 1823 | 26/37
42 h-m-p 0.0010 0.0055 4.0712 -YC 511.003906 1 0.0001 1865 | 26/37
43 h-m-p 0.0004 0.0986 1.2192 CC 511.003807 1 0.0001 1907 | 26/37
44 h-m-p 0.0014 0.5383 0.1311 Y 511.003798 0 0.0010 1947 | 26/37
45 h-m-p 0.0001 0.0535 1.2906 ++YYYY 511.003606 3 0.0017 2003 | 26/37
46 h-m-p 0.0002 0.0076 9.5308 YY 511.003561 1 0.0001 2044 | 26/37
47 h-m-p 0.0002 0.0273 2.2744 ++YC 511.002438 1 0.0084 2087 | 26/37
48 h-m-p 0.0001 0.0003 102.9270 +YC 511.001232 1 0.0002 2129 | 26/37
49 h-m-p 0.0344 0.1718 0.0450 ---Y 511.001232 0 0.0001 2172 | 26/37
50 h-m-p 0.0007 0.1441 0.0065 ++++ 511.001198 m 0.1441 2225 | 27/37
51 h-m-p 0.0001 0.0015 8.6300 Y 511.001179 0 0.0001 2276 | 27/37
52 h-m-p 0.0115 4.9096 0.0802 C 511.001154 0 0.0115 2316 | 27/37
53 h-m-p 1.0058 8.0000 0.0009 C 511.001144 0 0.9726 2366 | 27/37
54 h-m-p 1.6000 8.0000 0.0001 C 511.001143 0 1.9461 2416 | 27/37
55 h-m-p 1.6000 8.0000 0.0001 Y 511.001142 0 2.8530 2466 | 27/37
56 h-m-p 1.6000 8.0000 0.0001 C 511.001142 0 1.9081 2516 | 27/37
57 h-m-p 1.6000 8.0000 0.0001 Y 511.001141 0 2.6293 2566 | 27/37
58 h-m-p 1.6000 8.0000 0.0000 C 511.001141 0 1.4307 2616 | 27/37
59 h-m-p 1.6000 8.0000 0.0000 Y 511.001141 0 1.0904 2666 | 27/37
60 h-m-p 1.6000 8.0000 0.0000 Y 511.001141 0 1.1029 2716 | 27/37
61 h-m-p 1.6000 8.0000 0.0000 C 511.001141 0 1.6000 2766 | 27/37
62 h-m-p 1.6000 8.0000 0.0000 -------------C 511.001141 0 0.0000 2829
Out..
lnL = -511.001141
2830 lfun, 31130 eigenQcodon, 962200 P(t)
end of tree file.
Time used: 6:47
Model 8: beta&w>1
TREE # 1
(12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
0.025779 0.020194 0.100056 0.011729 0.104719 0.088955 0.075072 0.063506 0.091971 0.092781 0.101449 0.083358 0.086786 0.029186 0.048410 0.067513 0.042572 0.109622 0.099588 0.092401 0.055244 0.094336 0.103433 0.109431 0.083116 0.068534 0.066880 0.083406 0.090519 0.058293 0.071977 0.010540 0.082343 0.059660 0.983000 0.900000 0.801329 1.169911 1.300000
ntime & nrate & np: 34 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 0.000100 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 10.717084
np = 39
lnL0 = -693.782253
Iterating by ming2
Initial: fx= 693.782253
x= 0.02578 0.02019 0.10006 0.01173 0.10472 0.08896 0.07507 0.06351 0.09197 0.09278 0.10145 0.08336 0.08679 0.02919 0.04841 0.06751 0.04257 0.10962 0.09959 0.09240 0.05524 0.09434 0.10343 0.10943 0.08312 0.06853 0.06688 0.08341 0.09052 0.05829 0.07198 0.01054 0.08234 0.05966 0.98300 0.90000 0.80133 1.16991 1.30000
1 h-m-p 0.0000 0.0002 393.4332 ++ 670.291017 m 0.0002 44 | 1/39
2 h-m-p 0.0000 0.0000 2909.4580 ++ 667.443905 m 0.0000 86 | 2/39
3 h-m-p 0.0000 0.0003 267.3928 ++ 650.183021 m 0.0003 128 | 3/39
4 h-m-p 0.0000 0.0000 1664.5536 ++ 638.434293 m 0.0000 170 | 4/39
5 h-m-p 0.0000 0.0000 1331.3592 ++ 632.005240 m 0.0000 212 | 5/39
6 h-m-p 0.0000 0.0000 31886.2183 ++ 606.083337 m 0.0000 254 | 6/39
7 h-m-p 0.0000 0.0000 4245.3237 ++ 596.362183 m 0.0000 296 | 7/39
8 h-m-p 0.0000 0.0000 11655.0614 ++ 584.522097 m 0.0000 338 | 8/39
9 h-m-p 0.0000 0.0000 41560.9339 ++ 564.450299 m 0.0000 380 | 9/39
10 h-m-p 0.0000 0.0000 160422.8687 ++ 561.834927 m 0.0000 422 | 10/39
11 h-m-p 0.0000 0.0000 39230.7604 ++ 556.739231 m 0.0000 464 | 11/39
12 h-m-p 0.0000 0.0000 8236.7826 ++ 552.135627 m 0.0000 506 | 12/39
13 h-m-p 0.0000 0.0000 9445.1467 ++ 542.974817 m 0.0000 548 | 13/39
14 h-m-p 0.0000 0.0000 3532.1762 ++ 542.647616 m 0.0000 590 | 14/39
15 h-m-p 0.0000 0.0000 7497.6889 ++ 542.104590 m 0.0000 632 | 15/39
16 h-m-p 0.0000 0.0000 4014.6172 ++ 541.809881 m 0.0000 674 | 16/39
17 h-m-p 0.0000 0.0000 6138.4382 ++ 539.377204 m 0.0000 716 | 17/39
18 h-m-p 0.0000 0.0000 3617.1011 ++ 536.707436 m 0.0000 758 | 18/39
19 h-m-p 0.0000 0.0000 2161.2566 ++ 534.815158 m 0.0000 800 | 19/39
20 h-m-p 0.0000 0.0000 2235.9123 ++ 534.614833 m 0.0000 842 | 20/39
21 h-m-p 0.0000 0.0000 2205.7388 ++ 533.656265 m 0.0000 884 | 21/39
22 h-m-p 0.0000 0.0000 1584.5298 ++ 530.998796 m 0.0000 926 | 22/39
23 h-m-p 0.0000 0.0000 865.3165 ++ 530.379110 m 0.0000 968 | 23/39
24 h-m-p 0.0000 0.0000 845.3323 ++ 530.271801 m 0.0000 1010 | 24/39
25 h-m-p 0.0000 0.0000 565.0621 ++ 528.175862 m 0.0000 1052 | 25/39
26 h-m-p 0.0000 0.0000 264.7427 ++ 527.987431 m 0.0000 1094 | 26/39
27 h-m-p 0.0000 0.0010 150.0375 +++CYYCYCYCC 514.112504 8 0.0009 1151 | 26/39
28 h-m-p 0.0004 0.0021 9.5373 CCCC 513.916398 3 0.0005 1199 | 26/39
29 h-m-p 0.0001 0.0006 24.2974 CYCCC 513.824656 4 0.0002 1248 | 26/39
30 h-m-p 0.0006 0.0119 6.5530 +CCCC 513.642379 3 0.0033 1297 | 26/39
31 h-m-p 0.0001 0.0007 100.2926 CCCC 513.506978 3 0.0002 1345 | 26/39
32 h-m-p 0.0005 0.0100 35.5773 ++YCYCCC 511.873501 5 0.0057 1397 | 26/39
33 h-m-p 0.0012 0.0062 25.8729 CCC 511.619876 2 0.0014 1443 | 26/39
34 h-m-p 0.0240 0.2401 1.5245 +YCC 511.315382 2 0.0642 1489 | 26/39
35 h-m-p 0.0292 0.1461 1.8937 +CCC 510.883041 2 0.1222 1536 | 26/39
36 h-m-p 0.0385 0.1923 0.2619 ++ 510.848849 m 0.1923 1578
QuantileBeta(0.15, 0.00494, 1.24633) = 7.313497e-163 2000 rounds
| 27/39
37 h-m-p 0.0336 0.7819 1.0607 +CCCC 510.731925 3 0.2481 1640 | 27/39
38 h-m-p 1.0288 5.8071 0.2558 CCCCC 510.638985 4 1.2117 1690 | 27/39
39 h-m-p 1.5725 7.8624 0.1936 CCCC 510.538461 3 2.0570 1750 | 27/39
40 h-m-p 0.5979 2.9893 0.2742 +YYYCYC 510.473299 5 2.2278 1812 | 27/39
41 h-m-p 0.5537 2.7685 0.1036 YYYC 510.469952 3 0.5137 1869 | 27/39
42 h-m-p 0.1810 7.0689 0.2941 YC 510.455848 1 0.4150 1924 | 27/39
43 h-m-p 1.0539 8.0000 0.1158 +CC 510.421295 1 3.7590 1981 | 27/39
44 h-m-p 1.6000 8.0000 0.1530 CCC 510.397134 2 2.3807 2039 | 27/39
45 h-m-p 1.6000 8.0000 0.1311 CYC 510.387782 2 1.7389 2096 | 27/39
46 h-m-p 1.1354 8.0000 0.2008 CCC 510.383492 2 1.1842 2154 | 27/39
47 h-m-p 1.6000 8.0000 0.0494 C 510.381738 0 1.7418 2208 | 27/39
48 h-m-p 1.6000 8.0000 0.0052 CC 510.381328 1 2.0579 2264 | 27/39
49 h-m-p 0.9485 8.0000 0.0114 +YC 510.381138 1 2.3744 2320 | 27/39
50 h-m-p 1.6000 8.0000 0.0119 YC 510.381015 1 2.6134 2375 | 27/39
51 h-m-p 1.6000 8.0000 0.0070 C 510.380963 0 1.8597 2429 | 27/39
52 h-m-p 1.6000 8.0000 0.0038 +Y 510.380885 0 7.0695 2484 | 27/39
53 h-m-p 1.6000 8.0000 0.0119 YC 510.380818 1 2.7300 2539 | 27/39
54 h-m-p 1.6000 8.0000 0.0131 Y 510.380789 0 2.9450 2593 | 27/39
55 h-m-p 1.6000 8.0000 0.0153 Y 510.380772 0 2.8952 2647 | 27/39
56 h-m-p 1.6000 8.0000 0.0193 Y 510.380761 0 3.4424 2701 | 27/39
57 h-m-p 1.6000 8.0000 0.0273 Y 510.380755 0 2.7424 2755 | 27/39
58 h-m-p 1.6000 8.0000 0.0331 Y 510.380751 0 3.1867 2809 | 27/39
59 h-m-p 1.6000 8.0000 0.0437 Y 510.380749 0 3.0189 2863 | 27/39
60 h-m-p 1.6000 8.0000 0.0605 Y 510.380747 0 3.2355 2917 | 27/39
61 h-m-p 1.6000 8.0000 0.0816 Y 510.380747 0 2.9477 2971 | 27/39
62 h-m-p 1.6000 8.0000 0.1119 Y 510.380746 0 3.3980 3025 | 27/39
63 h-m-p 1.6000 8.0000 0.1601
QuantileBeta(0.15, 0.00500, 2.56157) = 9.890882e-161 2000 rounds
Y 510.380746 0 3.0119 3079 | 27/39
64 h-m-p 1.6000 8.0000 0.2282
QuantileBeta(0.15, 0.00500, 2.38417) = 1.080171e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 3.47969) = 6.878900e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
Y 510.380745 0 3.4422 3133
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 9.174577e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80475) = 8.864582e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80448) = 8.865618e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 2.80462) = 8.865100e-161 2000 rounds
| 27/39
65 h-m-p 1.6000 8.0000 0.3303
QuantileBeta(0.15, 0.00500, 3.33316) = 7.230897e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 4.91878) = 4.651408e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
Y 510.380745 0 2.9463 3187
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.476946e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77806) = 6.258163e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77774) = 6.258767e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 3.77790) = 6.258465e-161 2000 rounds
| 27/39
66 h-m-p 1.6000 8.0000 0.4699
QuantileBeta(0.15, 0.00500, 4.52975) = 5.098026e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 6.78528) = 3.274142e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
Y 510.380745 0 3.7140 3241
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.236927e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52333) = 4.093847e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52293) = 4.094166e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 5.52313) = 4.094006e-161 2000 rounds
| 27/39
67 h-m-p 1.6000 8.0000 0.7271
QuantileBeta(0.15, 0.00500, 6.68649) = 3.326294e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 10.17656) = 2.128259e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
Y 510.380745 0 2.8103 3295
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 3.014639e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56672) = 2.912852e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56624) = 2.913046e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 7.56648) = 2.912949e-161 2000 rounds
| 27/39
68 h-m-p 1.6000 8.0000 1.0765
QuantileBeta(0.15, 0.00500, 9.28885) = 2.342940e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 14.45598) = 1.476113e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 16.17835) = 1.314036e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
Y 510.380745 0 4.1291 3350
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.851803e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01139) = 1.789337e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
| 27/39
69 h-m-p 0.8274 4.1372 2.9020
QuantileBeta(0.15, 0.00500, 9.61011) = 2.260427e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 11.41106) = 1.887697e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 11.86130) = 1.812954e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 11.97386) = 1.795184e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.00200) = 1.790796e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.00904) = 1.789702e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01080) = 1.789429e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789361e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01135) = 1.789344e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789340e-161 2000 rounds
C 510.380745 0 0.0000 3400
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.851805e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01138) = 1.789338e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789339e-161 2000 rounds
| 27/39
70 h-m-p 0.0303 8.0000 0.0003
QuantileBeta(0.15, 0.00500, 12.01137) = 1.789340e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01136) = 1.789341e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 12.01133) = 1.789346e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 12.01119) = 1.789367e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
C 510.380745 0 0.7272 3444
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.851816e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01162) = 1.789301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01099) = 1.789398e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01131) = 1.789350e-161 2000 rounds
| 27/39
71 h-m-p 1.6000 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 12.01120) = 1.789366e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01128) = 1.789354e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
C 510.380745 0 0.5997 3498
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.851822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01158) = 1.789307e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01096) = 1.789404e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01127) = 1.789356e-161 2000 rounds
| 27/39
72 h-m-p 0.5150 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01118) = 1.789369e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
C 510.380745 0 0.5150 3552
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.851825e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01156) = 1.789311e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01094) = 1.789408e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01125) = 1.789359e-161 2000 rounds
| 27/39
73 h-m-p 0.6807 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 12.01123) = 1.789362e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
Y 510.380745 0 0.0940 3606
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.851826e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01156) = 1.789311e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01093) = 1.789408e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
| 27/39
74 h-m-p 0.1062 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-..
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.851826e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01156) = 1.789311e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01093) = 1.789408e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
| 27/39
75 h-m-p 0.0160 8.0000 0.0018
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.851826e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01156) = 1.789311e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01093) = 1.789408e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
| 27/39
76 h-m-p 0.0160 8.0000 0.0018
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
Out..
lnL = -510.380745
3803 lfun, 45636 eigenQcodon, 1422322 P(t)
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -513.513781 S = -493.264821 -24.692934
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 54 patterns 13:23
did 20 / 54 patterns 13:23
did 30 / 54 patterns 13:23
did 40 / 54 patterns 13:23
did 50 / 54 patterns 13:23
did 54 / 54 patterns 13:23
QuantileBeta(0.15, 0.00500, 12.01124) = 1.789360e-161 2000 rounds
end of tree file.
Time used: 13:23
The loglikelihoods for models M1, M2, M7 and M8 are -510.985393 -510.380745 -511.001141 -510.380745 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS MDYVSLLNQIWQKYLNSSYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVN
*****************.******************************************
KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEQEPFSN
KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSQEEESFSN
KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEQEPFSN
Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEDESFSN
Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS STKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN
Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS STKALAKQYAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
******** ********************************:*:*.***
>KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAACAGGAGCCATTCTCCAAC >KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCTTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCCAGGAAGAGGAGTCATTCTCCAAC >KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCATCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAACAGGAGCCATTCTCCAAC >Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCTTTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC >Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGACGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGATGAGTCATTCTCCAAC >Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATTCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGGACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGCCATTCTCCAAC >Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS ATGGATTACGTGTCTCTGCTTAATCAAATTTGGCAGAAGTACCTTAATTCACCGTATACTACTTGTTTGTATATCCCTAAACCCACAGCTAAGTATACACCTTTAGTTGGCACTTCATTGCACCCTGTGCTGTGGAACTGTCAGCTATCCTTTGCTGGTTATACTGAATCTGCTGTTAATTCTACAAAAGCTTTGGCCAAACAGTACGCAGCTCAGCGAATCGCTTGGTTGCTACATAAGGATGGAGGAATCCCTGATGGATGTTCCCTCTACCTCCGGCACTCAAGTTTATTCGCGCAAAGCGAGGAAGAGGAGTCATTCTCCAAC
>KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEQEPFSN >KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSQEEESFSN >KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS MDYVSLLNQIWQKYLNSSYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEQEPFSN >Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN >Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEDESFSN >Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQDAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEEPFSN >Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS MDYVSLLNQIWQKYLNSPYTTCLYIPKPTAKYTPLVGTSLHPVLWNCQLSFAGYTESAVNSTKALAKQYAAQRIAWLLHKDGGIPDGCSLYLRHSSLFAQSEEEESFSN
Reading sequence file /data//pss_subsets/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result/original_alignment/codeml/fasta/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result.1
Found 30 sequences of length 327
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.7%
Found 5 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 6 polymorphic sites
**p-Value(s)**
----------
NSS: 1.00e+00 (1000 permutations)
Max Chi^2: 9.19e-01 (1000 permutations)
PHI (Permutation): 1.00e+00 (1000 permutations)
PHI (Normal): 1.00e+00
#NEXUS
[ID: 5083677741]
begin taxa;
dimensions ntax=30;
taxlabels
Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS
Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS
Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS
Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS
Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS
Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS
Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS
Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS
Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS
Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS
Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS
Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS
Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS
KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS
KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS
KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS
Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS
Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS
KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS
Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS
MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS
Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS
MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS
Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS
Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS
Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS
Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS
Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS
Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS
Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS
;
end;
begin trees;
translate
1 Hu_Jeddah_KSA_C20860_2015_orf4a_ALW82755_1_2015_02_10_SA_Human_MERS,
2 Al_Hasa_12_2013_NA_AGV08446_1_2013_05_07_SA_Human_MERS,
3 Hu_Jordan_201440011123_2014_orf4a_ALX27245_1_2014_04_21_Jordan_Human_MERS,
4 Al_Hasa_15_2013_NA_AGV08548_1_2013_05_11_SA_Human_MERS,
5 Hu_Oman_2874_2013_ns3b_AKM76241_1_2013_12_28_Oman_Human_MERS,
6 Hu_Najran_KSA_C20915_2015_orf4a_ALW82744_1_2015_02_13_SA_Human_MERS,
7 Hu_Riyadh_KSA_16077_2015_orf4a_AMQ49061_1_2015_08_27_SA_Human_MERS,
8 Al_Hasa_21_2013_NA_AGV08494_1_2013_05_30_SA_Human_MERS,
9 Hu_Riyadh_KSA_2345_2015_NA_AKI29257_1_2015_01_21_SA_Human_MERS,
10 Hu_Riyadh_KSA_2343_2015_NA_AKI29267_1_2015_01_21_SA_Human_MERS,
11 Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74444_1_2013_05_07_France_Human_MERS,
12 Hu_Taif_KSA_7032_2014_orf4a_AMQ48995_1_2014_11_04_SA_Human_MERS,
13 Hu_Hufuf_KSA_11002_2015_orf4a_ALW82660_1_2015_05_10_SA_Human_MERS,
14 KFU_HKU_1_NA_AHX00733_1_2013_11_30_SA_Camel_MERS,
15 KOREA_Seoul_163_1_2015_NA_ALB08259_1_2015_06_19_SK_Human_MERS,
16 KOREA_Seoul_163_2_2015_NA_ALB08248_1_2015_06_29_SK_Human_MERS,
17 Hu_Hufuf_KSA_9158_2015_orf4a_ALW82671_1_2015_03_27_SA_Human_MERS,
18 Abu_Dhabi_UAE_9_2013_ns3b_AIY60580_1_2013_11_15_UAE_Human_MERS,
19 KOREA_Seoul_168_2_2015_NA_ALB08324_1_2015_06_24_SK_Human_MERS,
20 Al_Hasa_1_2013_NA_AGN70964_1_2013_05_09_SA_Human_MERS,
21 MERS_CoV_KOR_Seoul_050_1_2015_orf4a_ANC28647_1_2015_06_11_SK_Human_MERS,
22 Al_Hasa_16_2013_NA_AGV08537_1_2013_05_12_SA_Human_MERS,
23 MERS_CoV_KOR_Seoul_177_3_2015_orf4a_ANC28713_1_2015_07_03_SK_Human_MERS,
24 Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23980_1_2014_04_15_SA_Human_MERS,
25 Al_Hasa_2_2013_NA_AGN70953_1_2013_04_21_SA_Human_MERS,
26 Hu_Riyadh_KSA_16098_2015_orf4a_AMQ49072_1_2015_08_24_SA_Human_MERS,
27 Qatar4_orf4a_AHC74100_1_2013_10_17_Qatar_Human_MERS,
28 Abu_Dhabi_UAE_8_2014_ns3b_AIY60520_1_2014_04_07_UAE_Human_MERS,
29 Camel_UAE_D1164_11_2014_NA_AJG44082_1_2014_06_UAE_Camel_MERS,
30 Hu_Riyadh_KSA_2959_2015_ns3b_AKK52604_1_2015_02_10_SA_Human_MERS
;
[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 = (1:3.347889e-04,3:3.498658e-04,9:3.711125e-04,10:3.376718e-04,12:7.946964e-04,24:3.530537e-04,27:3.368580e-04,((2:3.353671e-04,4:3.297498e-04,8:3.386255e-04,20:3.163251e-04,22:3.464540e-04,25:3.235739e-04)0.990:7.961368e-04,(5:3.368199e-04,14:3.480388e-04)0.993:8.217385e-04,11:3.245242e-04,18:3.335655e-04,28:3.294109e-04,29:3.416446e-04)1.000:1.285276e-03,(6:3.394130e-04,7:3.318283e-04,13:3.485589e-04,15:3.599344e-04,16:3.264574e-04,17:1.299398e-03,19:8.128669e-04,21:3.630461e-04,23:3.461855e-04,26:3.186190e-04,30:8.567372e-04)0.945:8.206611e-04);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:3.347889e-04,3:3.498658e-04,9:3.711125e-04,10:3.376718e-04,12:7.946964e-04,24:3.530537e-04,27:3.368580e-04,((2:3.353671e-04,4:3.297498e-04,8:3.386255e-04,20:3.163251e-04,22:3.464540e-04,25:3.235739e-04):7.961368e-04,(5:3.368199e-04,14:3.480388e-04):8.217385e-04,11:3.245242e-04,18:3.335655e-04,28:3.294109e-04,29:3.416446e-04):1.285276e-03,(6:3.394130e-04,7:3.318283e-04,13:3.485589e-04,15:3.599344e-04,16:3.264574e-04,17:1.299398e-03,19:8.128669e-04,21:3.630461e-04,23:3.461855e-04,26:3.186190e-04,30:8.567372e-04):8.206611e-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 -537.88 -551.87
2 -537.95 -550.18
--------------------------------------
TOTAL -537.92 -551.35
--------------------------------------
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} 0.034615 0.000128 0.014617 0.056515 0.033212 1501.00 1501.00 1.000
r(A<->C){all} 0.064461 0.003481 0.000001 0.181798 0.046432 117.80 119.00 1.000
r(A<->G){all} 0.066635 0.004166 0.000001 0.195401 0.046662 46.26 90.19 1.006
r(A<->T){all} 0.110257 0.005877 0.006763 0.258831 0.094375 84.72 87.29 1.014
r(C<->G){all} 0.207301 0.012422 0.020246 0.422499 0.188812 73.13 75.38 1.008
r(C<->T){all} 0.302443 0.012130 0.103478 0.516811 0.293626 98.53 109.69 1.004
r(G<->T){all} 0.248904 0.011004 0.055212 0.449842 0.240458 99.49 121.04 1.012
pi(A){all} 0.252509 0.000565 0.203963 0.295738 0.251578 883.45 917.20 1.000
pi(C){all} 0.245455 0.000541 0.197642 0.288034 0.245313 803.58 852.03 1.000
pi(G){all} 0.199057 0.000474 0.157013 0.240416 0.198411 858.25 859.38 1.002
pi(T){all} 0.302980 0.000640 0.254000 0.351105 0.302557 767.27 794.93 1.001
alpha{1,2} 1.030269 0.950957 0.001082 2.985852 0.751136 726.09 748.44 1.000
alpha{3} 1.014892 0.951383 0.000211 2.862093 0.733411 601.72 706.60 1.001
pinvar{all} 0.370653 0.053048 0.000014 0.769990 0.350425 262.10 302.49 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/Hu_Riyadh_KSA_4050_2015_ns3b_AKK52614_1_2015_03_01_SA_Human_MERS.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 109
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 1 | Ser TCT 3 3 3 3 3 3 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 3 3 3 3 3 3
TTC 2 2 2 2 2 2 | TCC 3 3 3 3 3 3 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 3 4 4 3 3 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 4 4 4 4 4 4 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 4 4 4 4 4 5 | His CAT 1 1 1 1 1 1 | Arg CGT 0 0 0 0 0 0
CTC 2 2 2 2 2 2 | CCC 1 1 1 1 1 1 | CAC 2 2 2 2 2 2 | CGC 0 0 0 0 0 0
CTA 2 2 2 2 2 2 | CCA 1 0 0 1 1 0 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 2 2 | CCG 1 1 1 1 1 0 | CAG 5 4 4 4 4 5 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 2 1 1 2 2 1 | Thr ACT 4 4 4 4 4 4 | Asn AAT 3 3 3 3 3 3 | Ser AGT 1 1 1 1 1 1
ATC 2 3 3 2 2 3 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 0 0 0 0 0 0 | ACA 3 3 3 3 3 3 | Lys AAA 3 3 3 3 3 3 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 2 2 2 2 2 2 | Ala GCT 6 6 6 6 6 6 | Asp GAT 3 2 2 3 3 2 | Gly GGT 1 1 1 1 1 1
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 2 2 1 1 2 | GGC 1 1 1 1 1 1
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 2 2 2 2 2 2 | GGA 3 3 3 3 3 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 2 3 3 3 3 2 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 1 | Ser TCT 3 3 3 4 4 3 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 3 3 3 3 3 3
TTC 2 2 2 2 2 2 | TCC 3 3 3 3 3 3 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 4 4 3 2 2 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 4 4 4 4 4 4 | TCG 1 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 4 4 4 4 4 4 | His CAT 1 1 1 1 1 1 | Arg CGT 0 0 0 0 0 0
CTC 2 2 2 2 2 2 | CCC 1 1 1 1 1 1 | CAC 2 2 2 2 2 2 | CGC 0 0 0 0 0 0
CTA 2 2 2 2 2 2 | CCA 0 0 1 1 1 0 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 2 2 | CCG 0 1 1 1 1 1 | CAG 4 4 4 4 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 1 2 2 2 1 | Thr ACT 4 4 4 4 4 4 | Asn AAT 3 3 3 3 3 3 | Ser AGT 1 1 1 1 1 1
ATC 3 3 2 2 2 3 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 0 0 0 0 0 0 | ACA 3 3 3 3 3 3 | Lys AAA 3 3 3 3 3 3 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 2 2 2 2 2 2 | Ala GCT 6 6 6 6 6 6 | Asp GAT 2 2 3 3 3 3 | Gly GGT 1 1 1 1 1 1
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 2 2 1 1 1 1 | GGC 1 1 1 1 1 1
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 2 2 2 2 2 2 | GGA 3 3 3 3 3 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 3 3 3 3 3 3 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 1 | Ser TCT 3 3 4 3 4 3 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 3 3 3 3 3 3
TTC 2 2 2 2 2 2 | TCC 3 3 3 3 3 3 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 4 4 2 3 2 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 4 4 4 4 4 4 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 4 4 4 4 4 4 | His CAT 1 1 1 1 1 1 | Arg CGT 0 0 0 0 0 0
CTC 2 2 2 2 2 2 | CCC 1 1 1 1 1 1 | CAC 2 2 2 2 2 2 | CGC 0 0 0 0 0 0
CTA 2 2 2 2 2 2 | CCA 0 0 1 1 1 0 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 2 2 | CCG 1 1 1 1 1 1 | CAG 4 4 4 5 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 1 2 2 2 1 | Thr ACT 4 4 4 4 4 4 | Asn AAT 3 3 3 3 3 3 | Ser AGT 1 1 1 1 1 1
ATC 3 3 2 2 2 3 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 0 0 0 0 0 0 | ACA 3 3 3 3 3 3 | Lys AAA 3 3 3 3 3 3 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 2 2 2 2 2 2 | Ala GCT 6 6 6 6 6 6 | Asp GAT 3 2 3 3 3 2 | Gly GGT 1 1 1 1 1 1
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 2 1 1 1 2 | GGC 1 1 1 1 1 1
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 2 2 2 2 2 2 | GGA 3 3 3 3 3 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 3 3 3 2 3 3 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 1 | Ser TCT 3 3 4 3 3 3 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 3 3 3 3 3 3
TTC 2 2 2 2 2 2 | TCC 3 3 3 3 3 3 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 4 4 2 4 4 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 4 4 4 4 4 4 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 4 4 4 4 4 4 | His CAT 1 1 1 1 1 1 | Arg CGT 0 0 0 0 0 0
CTC 2 2 2 2 2 2 | CCC 1 1 1 1 1 1 | CAC 2 2 2 2 2 2 | CGC 0 0 0 0 0 0
CTA 2 2 2 2 2 2 | CCA 0 0 1 0 0 0 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 2 2 | CCG 1 1 1 1 1 1 | CAG 4 4 4 4 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 1 1 2 1 1 1 | Thr ACT 4 4 4 4 4 4 | Asn AAT 3 3 3 3 3 3 | Ser AGT 1 1 1 1 1 1
ATC 3 3 2 3 3 3 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 0 0 0 0 0 0 | ACA 3 3 3 3 3 3 | Lys AAA 3 3 3 3 3 3 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 2 2 2 2 2 2 | Ala GCT 6 6 6 6 6 6 | Asp GAT 3 2 3 2 2 3 | Gly GGT 1 1 1 1 1 1
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 2 1 2 2 1 | GGC 1 1 1 1 1 1
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 2 2 2 2 2 2 | GGA 3 3 3 3 3 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 3 3 3 3 3 3 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 1 1 1 1 1 1 | Ser TCT 4 3 3 3 3 3 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 3 3 3 3 3 3
TTC 2 2 2 2 2 2 | TCC 3 3 3 3 3 3 | TAC 3 3 3 3 3 4 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 2 4 4 4 3 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 4 4 4 4 4 4 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 2 2 2 | Pro CCT 4 4 4 4 4 4 | His CAT 1 1 1 1 1 1 | Arg CGT 0 0 0 0 0 0
CTC 2 2 2 2 2 2 | CCC 1 1 1 1 1 1 | CAC 2 2 2 2 2 2 | CGC 0 0 0 0 0 0
CTA 2 2 2 2 2 2 | CCA 1 0 0 0 1 0 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 2 2 | CCG 1 1 1 1 1 1 | CAG 4 4 4 4 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 2 1 1 1 2 1 | Thr ACT 4 4 4 4 4 4 | Asn AAT 3 3 3 3 3 3 | Ser AGT 1 1 1 1 1 1
ATC 2 3 3 3 2 3 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 0 0 0 0 0 0 | ACA 3 3 3 3 3 3 | Lys AAA 3 3 3 3 3 3 | Arg AGA 0 0 0 0 0 0
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 2 2 2 2 2 2 | Ala GCT 6 6 6 6 6 6 | Asp GAT 3 3 3 3 3 3 | Gly GGT 1 1 1 1 1 1
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 1 1 2 1 0 | GGC 1 1 1 1 1 1
GTA 0 0 0 0 0 0 | GCA 1 1 1 1 1 1 | Glu GAA 2 2 2 2 2 2 | GGA 3 3 3 3 3 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 3 3 3 2 3 3 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C107
position 1: T:0.28440 C:0.24771 A:0.22936 G:0.23853
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24465 A:0.25688 G:0.20183
#2: C114
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#3: C115
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#4: C58
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#5: C8
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#6: C61
position 1: T:0.29358 C:0.23853 A:0.22936 G:0.23853
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.21101 A:0.21101 G:0.22018
Average T:0.29664 C:0.24771 A:0.25688 G:0.19878
#7: C117
position 1: T:0.30275 C:0.22018 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#8: C60
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#9: C7
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#10: C15
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#11: C10
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#12: C65
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#13: C67
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#14: C124
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#15: C11
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#16: C73
position 1: T:0.28440 C:0.24771 A:0.22936 G:0.23853
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24465 A:0.25688 G:0.20183
#17: C9
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#18: C72
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#19: C131
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#20: C130
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#21: C16
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#22: C74
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#23: C77
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.34862 C:0.21101 A:0.21101 G:0.22936
Average T:0.29358 C:0.24465 A:0.25688 G:0.20489
#24: C136
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#25: C18
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.37615 C:0.19266 A:0.20183 G:0.22936
Average T:0.29969 C:0.24159 A:0.25382 G:0.20489
#26: C81
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#27: C80
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#28: C84
position 1: T:0.29358 C:0.22936 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.21101 A:0.21101 G:0.22018
Average T:0.29664 C:0.24465 A:0.25688 G:0.20183
#29: C25
position 1: T:0.28440 C:0.23853 A:0.22936 G:0.24771
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36697 C:0.19266 A:0.21101 G:0.22936
Average T:0.29664 C:0.24159 A:0.25688 G:0.20489
#30: C87
position 1: T:0.30275 C:0.22936 A:0.22936 G:0.23853
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.35780 C:0.20183 A:0.21101 G:0.22936
Average T:0.29969 C:0.24159 A:0.25688 G:0.20183
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 30 | Ser S TCT 96 | Tyr Y TAT 120 | Cys C TGT 90
TTC 60 | TCC 90 | TAC 91 | TGC 0
Leu L TTA 60 | TCA 102 | *** * TAA 0 | *** * TGA 0
TTG 120 | TCG 1 | TAG 0 | Trp W TGG 90
------------------------------------------------------------------------------
Leu L CTT 60 | Pro P CCT 121 | His H CAT 30 | Arg R CGT 0
CTC 60 | CCC 30 | CAC 60 | CGC 0
CTA 60 | CCA 12 | Gln Q CAA 60 | CGA 30
CTG 60 | CCG 28 | CAG 123 | CGG 30
------------------------------------------------------------------------------
Ile I ATT 42 | Thr T ACT 120 | Asn N AAT 90 | Ser S AGT 30
ATC 78 | ACC 0 | AAC 60 | AGC 30
ATA 0 | ACA 90 | Lys K AAA 90 | Arg R AGA 0
Met M ATG 30 | ACG 0 | AAG 90 | AGG 0
------------------------------------------------------------------------------
Val V GTT 60 | Ala A GCT 180 | Asp D GAT 80 | Gly G GGT 30
GTC 0 | GCC 30 | GAC 40 | GGC 30
GTA 0 | GCA 30 | Glu E GAA 60 | GGA 90
GTG 60 | GCG 30 | GAG 86 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.29052 C:0.23364 A:0.22936 G:0.24648
position 2: T:0.23853 C:0.29358 A:0.33028 G:0.13761
position 3: T:0.36055 C:0.20153 A:0.20917 G:0.22875
Average T:0.29653 C:0.24292 A:0.25627 G:0.20428
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
lnL(ntime: 34 np: 37): -510.985393 +0.000000
31..12 31..13 31..27 31..26 31..30 31..19 31..24 31..32 32..33 33..11 33..17 33..21 33..10 33..15 33..25 32..34 34..16 34..1 32..4 32..5 32..9 32..29 31..35 35..18 35..22 35..8 35..3 35..2 35..6 35..7 35..14 35..20 35..23 35..28
0.000004 0.000004 0.000004 0.000004 0.009503 0.000004 0.000004 0.019012 0.009455 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009456 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009476 0.000004 0.000004 0.000004 0.000004 0.000004 0.019005 0.009496 0.000004 0.000004 0.000004 0.009453 1.011239 0.665286 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.094960
(12: 0.000004, 13: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.009503, 19: 0.000004, 24: 0.000004, ((11: 0.000004, 17: 0.000004, 21: 0.000004, 10: 0.000004, 15: 0.000004, 25: 0.000004): 0.009455, (16: 0.000004, 1: 0.000004): 0.009456, 4: 0.000004, 5: 0.000004, 9: 0.000004, 29: 0.000004): 0.019012, (18: 0.000004, 22: 0.000004, 8: 0.000004, 3: 0.000004, 2: 0.000004, 6: 0.019005, 7: 0.009496, 14: 0.000004, 20: 0.000004, 23: 0.000004, 28: 0.009453): 0.009476);
(C65: 0.000004, C67: 0.000004, C80: 0.000004, C81: 0.000004, C87: 0.009503, C131: 0.000004, C136: 0.000004, ((C10: 0.000004, C9: 0.000004, C16: 0.000004, C15: 0.000004, C11: 0.000004, C18: 0.000004): 0.009455, (C73: 0.000004, C107: 0.000004): 0.009456, C58: 0.000004, C8: 0.000004, C7: 0.000004, C25: 0.000004): 0.019012, (C72: 0.000004, C74: 0.000004, C60: 0.000004, C115: 0.000004, C114: 0.000004, C61: 0.019005, C117: 0.009496, C124: 0.000004, C130: 0.000004, C77: 0.000004, C84: 0.009453): 0.009476);
Detailed output identifying parameters
kappa (ts/tv) = 1.01124
MLEs of dN/dS (w) for site classes (K=2)
p: 0.66529 0.33471
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..13 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..27 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..26 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..30 0.010 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
31..19 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..24 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..32 0.019 251.8 75.2 0.3347 0.0043 0.0130 1.1 1.0
32..33 0.009 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
33..11 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
33..17 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
33..21 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
33..10 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
33..15 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
33..25 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
32..34 0.009 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
34..16 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
34..1 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
32..4 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
32..5 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
32..9 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
32..29 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
31..35 0.009 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
35..18 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..22 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..8 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..3 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..2 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..6 0.019 251.8 75.2 0.3347 0.0043 0.0130 1.1 1.0
35..7 0.009 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
35..14 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..20 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..23 0.000 251.8 75.2 0.3347 0.0000 0.0000 0.0 0.0
35..28 0.009 251.8 75.2 0.3347 0.0022 0.0065 0.5 0.5
Time used: 0:48
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
lnL(ntime: 34 np: 39): -510.380745 +0.000000
31..12 31..13 31..27 31..26 31..30 31..19 31..24 31..32 32..33 33..11 33..17 33..21 33..10 33..15 33..25 32..34 34..16 34..1 32..4 32..5 32..9 32..29 31..35 35..18 35..22 35..8 35..3 35..2 35..6 35..7 35..14 35..20 35..23 35..28
0.000004 0.000004 0.000004 0.000004 0.009890 0.000004 0.000004 0.019661 0.009668 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009709 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009772 0.000004 0.000004 0.000004 0.000004 0.000004 0.019558 0.009844 0.000004 0.000004 0.000004 0.009636 1.111773 0.879690 0.000000 0.000001 4.039639
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.097841
(12: 0.000004, 13: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.009890, 19: 0.000004, 24: 0.000004, ((11: 0.000004, 17: 0.000004, 21: 0.000004, 10: 0.000004, 15: 0.000004, 25: 0.000004): 0.009668, (16: 0.000004, 1: 0.000004): 0.009709, 4: 0.000004, 5: 0.000004, 9: 0.000004, 29: 0.000004): 0.019661, (18: 0.000004, 22: 0.000004, 8: 0.000004, 3: 0.000004, 2: 0.000004, 6: 0.019558, 7: 0.009844, 14: 0.000004, 20: 0.000004, 23: 0.000004, 28: 0.009636): 0.009772);
(C65: 0.000004, C67: 0.000004, C80: 0.000004, C81: 0.000004, C87: 0.009890, C131: 0.000004, C136: 0.000004, ((C10: 0.000004, C9: 0.000004, C16: 0.000004, C15: 0.000004, C11: 0.000004, C18: 0.000004): 0.009668, (C73: 0.000004, C107: 0.000004): 0.009709, C58: 0.000004, C8: 0.000004, C7: 0.000004, C25: 0.000004): 0.019661, (C72: 0.000004, C74: 0.000004, C60: 0.000004, C115: 0.000004, C114: 0.000004, C61: 0.019558, C117: 0.009844, C124: 0.000004, C130: 0.000004, C77: 0.000004, C84: 0.009636): 0.009772);
Detailed output identifying parameters
kappa (ts/tv) = 1.11177
MLEs of dN/dS (w) for site classes (K=3)
p: 0.87969 0.00000 0.12031
w: 0.00000 1.00000 4.03964
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..13 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..27 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..26 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..30 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
31..19 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..24 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..32 0.020 250.6 76.4 0.4860 0.0053 0.0108 1.3 0.8
32..33 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.6 0.4
33..11 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..17 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..21 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..10 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..15 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..25 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..34 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.7 0.4
34..16 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
34..1 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..4 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..5 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..9 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..29 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..35 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
35..18 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..22 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..8 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..3 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..2 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..6 0.020 250.6 76.4 0.4860 0.0052 0.0108 1.3 0.8
35..7 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
35..14 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..20 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..23 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..28 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.6 0.4
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C107)
Pr(w>1) post mean +- SE for w
18 P 1.000** 4.040
69 D 1.000** 4.040
102 E 1.000** 4.040
104 Q 1.000** 4.040
106 P 1.000** 4.040
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: C107)
Pr(w>1) post mean +- SE for w
104 Q 0.675 3.838 +- 3.111
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: 0.283 0.227 0.169 0.117 0.078 0.050 0.032 0.021 0.013 0.009
w2: 0.210 0.145 0.118 0.102 0.091 0.082 0.073 0.066 0.059 0.053
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.004
0.001 0.003 0.007
0.000 0.001 0.001 0.004 0.011
0.000 0.000 0.001 0.001 0.002 0.007 0.018
0.000 0.000 0.000 0.001 0.001 0.002 0.004 0.012 0.029
0.000 0.000 0.000 0.000 0.001 0.001 0.002 0.004 0.007 0.020 0.045
0.000 0.000 0.000 0.000 0.000 0.001 0.001 0.002 0.004 0.007 0.012 0.032 0.064
0.000 0.000 0.000 0.000 0.000 0.001 0.001 0.001 0.002 0.004 0.006 0.011 0.019 0.048 0.083
0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.001 0.002 0.002 0.004 0.006 0.009 0.016 0.029 0.066 0.094
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.001 0.002 0.003 0.004 0.006 0.009 0.014 0.024 0.039 0.081 0.093
sum of density on p0-p1 = 1.000000
Time used: 2:33
Model 7: beta (10 categories)
TREE # 1: (12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
lnL(ntime: 34 np: 37): -511.001141 +0.000000
31..12 31..13 31..27 31..26 31..30 31..19 31..24 31..32 32..33 33..11 33..17 33..21 33..10 33..15 33..25 32..34 34..16 34..1 32..4 32..5 32..9 32..29 31..35 35..18 35..22 35..8 35..3 35..2 35..6 35..7 35..14 35..20 35..23 35..28
0.000004 0.000004 0.000004 0.000004 0.009489 0.000004 0.000004 0.018988 0.009443 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009441 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009459 0.000004 0.000004 0.000004 0.000004 0.000004 0.018971 0.009480 0.000004 0.000004 0.000004 0.009434 0.983000 0.005000 0.011666
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.094807
(12: 0.000004, 13: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.009489, 19: 0.000004, 24: 0.000004, ((11: 0.000004, 17: 0.000004, 21: 0.000004, 10: 0.000004, 15: 0.000004, 25: 0.000004): 0.009443, (16: 0.000004, 1: 0.000004): 0.009441, 4: 0.000004, 5: 0.000004, 9: 0.000004, 29: 0.000004): 0.018988, (18: 0.000004, 22: 0.000004, 8: 0.000004, 3: 0.000004, 2: 0.000004, 6: 0.018971, 7: 0.009480, 14: 0.000004, 20: 0.000004, 23: 0.000004, 28: 0.009434): 0.009459);
(C65: 0.000004, C67: 0.000004, C80: 0.000004, C81: 0.000004, C87: 0.009489, C131: 0.000004, C136: 0.000004, ((C10: 0.000004, C9: 0.000004, C16: 0.000004, C15: 0.000004, C11: 0.000004, C18: 0.000004): 0.009443, (C73: 0.000004, C107: 0.000004): 0.009441, C58: 0.000004, C8: 0.000004, C7: 0.000004, C25: 0.000004): 0.018988, (C72: 0.000004, C74: 0.000004, C60: 0.000004, C115: 0.000004, C114: 0.000004, C61: 0.018971, C117: 0.009480, C124: 0.000004, C130: 0.000004, C77: 0.000004, C84: 0.009434): 0.009459);
Detailed output identifying parameters
kappa (ts/tv) = 0.98300
Parameters in M7 (beta):
p = 0.00500 q = 0.01167
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 1.00000 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..13 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..27 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..26 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..30 0.009 252.1 74.9 0.3000 0.0021 0.0069 0.5 0.5
31..19 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..24 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..32 0.019 252.1 74.9 0.3000 0.0041 0.0137 1.0 1.0
32..33 0.009 252.1 74.9 0.3000 0.0021 0.0068 0.5 0.5
33..11 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
33..17 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
33..21 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
33..10 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
33..15 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
33..25 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
32..34 0.009 252.1 74.9 0.3000 0.0021 0.0068 0.5 0.5
34..16 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
34..1 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
32..4 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
32..5 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
32..9 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
32..29 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
31..35 0.009 252.1 74.9 0.3000 0.0021 0.0068 0.5 0.5
35..18 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..22 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..8 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..3 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..2 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..6 0.019 252.1 74.9 0.3000 0.0041 0.0137 1.0 1.0
35..7 0.009 252.1 74.9 0.3000 0.0021 0.0069 0.5 0.5
35..14 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..20 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..23 0.000 252.1 74.9 0.3000 0.0000 0.0000 0.0 0.0
35..28 0.009 252.1 74.9 0.3000 0.0020 0.0068 0.5 0.5
Time used: 6:47
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 13, 27, 26, 30, 19, 24, ((11, 17, 21, 10, 15, 25), (16, 1), 4, 5, 9, 29), (18, 22, 8, 3, 2, 6, 7, 14, 20, 23, 28)); MP score: 10
check convergence..
lnL(ntime: 34 np: 39): -510.380745 +0.000000
31..12 31..13 31..27 31..26 31..30 31..19 31..24 31..32 32..33 33..11 33..17 33..21 33..10 33..15 33..25 32..34 34..16 34..1 32..4 32..5 32..9 32..29 31..35 35..18 35..22 35..8 35..3 35..2 35..6 35..7 35..14 35..20 35..23 35..28
0.000004 0.000004 0.000004 0.000004 0.009890 0.000004 0.000004 0.019660 0.009668 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009709 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009772 0.000004 0.000004 0.000004 0.000004 0.000004 0.019558 0.009844 0.000004 0.000004 0.000004 0.009636 1.111774 0.879689 0.005000 12.011244 4.039585
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.097840
(12: 0.000004, 13: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.009890, 19: 0.000004, 24: 0.000004, ((11: 0.000004, 17: 0.000004, 21: 0.000004, 10: 0.000004, 15: 0.000004, 25: 0.000004): 0.009668, (16: 0.000004, 1: 0.000004): 0.009709, 4: 0.000004, 5: 0.000004, 9: 0.000004, 29: 0.000004): 0.019660, (18: 0.000004, 22: 0.000004, 8: 0.000004, 3: 0.000004, 2: 0.000004, 6: 0.019558, 7: 0.009844, 14: 0.000004, 20: 0.000004, 23: 0.000004, 28: 0.009636): 0.009772);
(C65: 0.000004, C67: 0.000004, C80: 0.000004, C81: 0.000004, C87: 0.009890, C131: 0.000004, C136: 0.000004, ((C10: 0.000004, C9: 0.000004, C16: 0.000004, C15: 0.000004, C11: 0.000004, C18: 0.000004): 0.009668, (C73: 0.000004, C107: 0.000004): 0.009709, C58: 0.000004, C8: 0.000004, C7: 0.000004, C25: 0.000004): 0.019660, (C72: 0.000004, C74: 0.000004, C60: 0.000004, C115: 0.000004, C114: 0.000004, C61: 0.019558, C117: 0.009844, C124: 0.000004, C130: 0.000004, C77: 0.000004, C84: 0.009636): 0.009772);
Detailed output identifying parameters
kappa (ts/tv) = 1.11177
Parameters in M8 (beta&w>1):
p0 = 0.87969 p = 0.00500 q = 12.01124
(p1 = 0.12031) w = 4.03958
MLEs of dN/dS (w) for site classes (K=11)
p: 0.08797 0.08797 0.08797 0.08797 0.08797 0.08797 0.08797 0.08797 0.08797 0.08797 0.12031
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 4.03958
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..13 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..27 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..26 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..30 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
31..19 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..24 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..32 0.020 250.6 76.4 0.4860 0.0053 0.0108 1.3 0.8
32..33 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.6 0.4
33..11 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..17 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..21 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..10 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..15 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
33..25 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..34 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.7 0.4
34..16 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
34..1 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..4 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..5 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..9 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
32..29 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
31..35 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
35..18 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..22 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..8 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..3 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..2 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..6 0.020 250.6 76.4 0.4860 0.0052 0.0108 1.3 0.8
35..7 0.010 250.6 76.4 0.4860 0.0026 0.0054 0.7 0.4
35..14 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..20 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..23 0.000 250.6 76.4 0.4860 0.0000 0.0000 0.0 0.0
35..28 0.010 250.6 76.4 0.4860 0.0026 0.0053 0.6 0.4
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C107)
Pr(w>1) post mean +- SE for w
18 P 1.000** 4.040
69 D 1.000** 4.040
102 E 1.000** 4.040
104 Q 1.000** 4.040
106 P 1.000** 4.040
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: C107)
Pr(w>1) post mean +- SE for w
104 Q 0.793 4.223 +- 3.093
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 0.001 0.002 0.006 0.015 0.033 0.074 0.200 0.667
p : 0.235 0.184 0.142 0.110 0.086 0.069 0.056 0.046 0.039 0.034
q : 0.016 0.043 0.064 0.082 0.099 0.114 0.128 0.140 0.151 0.161
ws: 0.205 0.143 0.118 0.103 0.093 0.084 0.075 0.067 0.059 0.052
Time used: 13:23
Model 1: NearlyNeutral -510.985393 Model 2: PositiveSelection -510.380745 Model 7: beta -511.001141 Model 8: beta&w>1 -510.380745 Model 2 vs 1 1.209296 Model 8 vs 7 1.240792
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
