--- 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 -355.52 -361.71
2 -355.40 -361.64
--------------------------------------
TOTAL -355.46 -361.67
--------------------------------------
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} 0.073306 0.948863 0.000621 0.030118 0.011171 673.35 982.16 1.001
r(A<->C){all} 0.256533 0.019625 0.017862 0.527995 0.235234 45.01 63.92 1.012
r(A<->G){all} 0.124371 0.013842 0.000031 0.373113 0.086948 47.04 54.60 1.018
r(A<->T){all} 0.112872 0.011389 0.000026 0.321023 0.084464 39.88 50.74 1.035
r(C<->G){all} 0.151007 0.015211 0.000029 0.398965 0.123960 52.60 58.96 1.002
r(C<->T){all} 0.233187 0.016405 0.030756 0.486688 0.216587 29.80 61.99 1.054
r(G<->T){all} 0.122032 0.010318 0.000151 0.323259 0.094889 69.80 74.26 1.000
pi(A){all} 0.252997 0.000725 0.202133 0.309849 0.252853 891.45 893.32 1.001
pi(C){all} 0.206323 0.000666 0.160869 0.260619 0.205153 939.42 940.56 1.002
pi(G){all} 0.194589 0.000608 0.144627 0.238646 0.193724 854.26 891.40 1.000
pi(T){all} 0.346091 0.000882 0.288778 0.404812 0.345350 784.81 822.49 1.000
alpha{1,2} 0.999406 0.985290 0.000157 2.982926 0.686912 707.68 766.68 1.002
alpha{3} 1.011694 1.009468 0.000032 3.007333 0.690803 745.23 798.84 1.002
pinvar{all} 0.455030 0.077818 0.000556 0.924903 0.431920 163.67 220.12 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Thu Dec 22 09:27:57 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 09:29:57 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 09:27:57 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result--
-- Starting log on Thu Dec 22 14:09:10 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/gapped_alignment/fubar,Hu_Riyadh_KSA_4050_2015_E_AKK52617_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 90 taxa and 246 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C52
Taxon 2 -> C65
Taxon 3 -> C10
Taxon 4 -> C67
Taxon 5 -> C68
Taxon 6 -> C9
Taxon 7 -> C14
Taxon 8 -> C73
Taxon 9 -> C72
Taxon 10 -> C17
Taxon 11 -> C74
Taxon 12 -> C59
Taxon 13 -> C75
Taxon 14 -> C16
Taxon 15 -> C21
Taxon 16 -> C80
Taxon 17 -> C79
Taxon 18 -> C24
Taxon 19 -> C81
Taxon 20 -> C82
Taxon 21 -> C23
Taxon 22 -> C28
Taxon 23 -> C58
Taxon 24 -> C87
Taxon 25 -> C86
Taxon 26 -> C31
Taxon 27 -> C88
Taxon 28 -> C89
Taxon 29 -> C30
Taxon 30 -> C35
Taxon 31 -> C94
Taxon 32 -> C93
Taxon 33 -> C38
Taxon 34 -> C3
Taxon 35 -> C95
Taxon 36 -> C96
Taxon 37 -> C37
Taxon 38 -> C42
Taxon 39 -> C101
Taxon 40 -> C100
Taxon 41 -> C45
Taxon 42 -> C102
Taxon 43 -> C103
Taxon 44 -> C44
Taxon 45 -> C60
Taxon 46 -> C49
Taxon 47 -> C108
Taxon 48 -> C107
Taxon 49 -> C1
Taxon 50 -> C109
Taxon 51 -> C110
Taxon 52 -> C51
Taxon 53 -> C56
Taxon 54 -> C115
Taxon 55 -> C114
Taxon 56 -> C61
Taxon 57 -> C8
Taxon 58 -> C116
Taxon 59 -> C117
Taxon 60 -> C4
Taxon 61 -> C63
Taxon 62 -> C122
Taxon 63 -> C121
Taxon 64 -> C15
Taxon 65 -> C123
Taxon 66 -> C124
Taxon 67 -> C2
Taxon 68 -> C11
Taxon 69 -> C70
Taxon 70 -> C129
Taxon 71 -> C128
Taxon 72 -> C22
Taxon 73 -> C130
Taxon 74 -> C131
Taxon 75 -> C18
Taxon 76 -> C77
Taxon 77 -> C136
Taxon 78 -> C7
Taxon 79 -> C135
Taxon 80 -> C29
Taxon 81 -> C137
Taxon 82 -> C138
Taxon 83 -> C25
Taxon 84 -> C84
Taxon 85 -> C143
Taxon 86 -> C142
Taxon 87 -> C36
Taxon 88 -> C144
Taxon 89 -> C66
Taxon 90 -> C145
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1671718153
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) = 333026252
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 = 4264159696
Seed = 1464745580
Swapseed = 1671718153
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 10 unique site patterns
Division 2 has 6 unique site patterns
Division 3 has 12 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 -- -894.420060 -- 149.597508
Chain 2 -- -894.420034 -- 149.597508
Chain 3 -- -894.419745 -- 149.597508
Chain 4 -- -894.419908 -- 149.597508
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -894.420020 -- 149.597508
Chain 2 -- -894.419739 -- 149.597508
Chain 3 -- -894.419902 -- 149.597508
Chain 4 -- -894.419827 -- 149.597508
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-894.420] (-894.420) (-894.420) (-894.420) * [-894.420] (-894.420) (-894.420) (-894.420)
1000 -- (-692.117) (-590.062) [-573.769] (-588.211) * (-578.808) [-569.816] (-598.866) (-597.026) -- 0:16:39
2000 -- (-626.739) (-606.839) [-575.429] (-569.080) * (-581.586) [-538.072] (-571.128) (-660.309) -- 0:24:57
3000 -- (-598.426) (-610.968) [-539.380] (-567.458) * (-558.303) [-529.317] (-590.196) (-617.122) -- 0:22:09
4000 -- (-604.072) (-613.157) [-535.013] (-551.851) * (-536.662) [-530.773] (-604.558) (-621.005) -- 0:20:45
5000 -- (-594.369) (-639.061) [-521.568] (-530.632) * (-525.489) [-531.091] (-579.924) (-601.629) -- 0:19:54
Average standard deviation of split frequencies: 0.080542
6000 -- (-593.168) (-599.477) [-519.754] (-531.591) * (-524.026) [-511.107] (-573.338) (-569.342) -- 0:22:05
7000 -- (-570.366) (-571.017) [-512.259] (-535.128) * (-519.277) [-520.931] (-571.774) (-584.035) -- 0:21:16
8000 -- (-568.087) (-569.888) [-515.493] (-538.256) * (-517.233) [-511.484] (-572.295) (-580.062) -- 0:20:40
9000 -- (-565.842) (-565.638) [-513.841] (-539.442) * (-518.347) [-505.362] (-575.419) (-559.668) -- 0:22:01
10000 -- (-556.058) (-563.675) [-521.520] (-529.220) * (-520.456) [-506.590] (-575.507) (-570.086) -- 0:21:27
Average standard deviation of split frequencies: 0.092231
11000 -- (-555.445) (-563.252) [-523.216] (-533.962) * (-523.509) [-509.026] (-572.098) (-572.244) -- 0:20:58
12000 -- (-560.817) (-566.326) (-521.973) [-517.109] * (-528.798) [-525.420] (-574.981) (-571.687) -- 0:21:57
13000 -- (-576.012) (-559.082) [-518.011] (-532.888) * (-536.978) [-504.394] (-572.135) (-565.997) -- 0:21:30
14000 -- (-561.012) (-564.093) [-517.542] (-529.645) * (-531.328) [-506.632] (-578.939) (-574.098) -- 0:21:07
15000 -- (-563.826) (-563.653) [-516.625] (-527.111) * (-526.010) [-506.272] (-575.946) (-565.020) -- 0:21:53
Average standard deviation of split frequencies: 0.091067
16000 -- (-563.348) (-575.576) [-515.214] (-528.286) * (-531.783) [-510.077] (-581.355) (-564.484) -- 0:21:31
17000 -- (-562.173) (-568.590) [-517.166] (-530.259) * (-526.177) [-509.954] (-576.915) (-568.986) -- 0:21:12
18000 -- (-560.428) (-569.674) [-516.855] (-527.364) * (-525.877) [-517.905] (-584.108) (-565.580) -- 0:21:49
19000 -- (-566.664) (-561.407) [-512.332] (-533.929) * (-525.408) [-518.148] (-587.531) (-566.457) -- 0:21:30
20000 -- (-564.859) (-567.650) [-514.409] (-532.660) * (-528.555) [-517.048] (-580.164) (-571.032) -- 0:21:14
Average standard deviation of split frequencies: 0.087981
21000 -- (-571.432) (-563.658) [-517.925] (-524.668) * (-523.469) [-516.300] (-585.053) (-572.759) -- 0:21:45
22000 -- (-577.063) (-560.880) [-515.754] (-532.455) * (-526.596) [-508.011] (-583.667) (-572.486) -- 0:21:29
23000 -- (-570.816) (-567.743) [-515.323] (-522.844) * (-524.797) [-519.907] (-576.424) (-569.465) -- 0:21:14
24000 -- (-569.841) (-560.963) (-526.556) [-522.513] * (-536.908) [-523.741] (-583.280) (-573.651) -- 0:21:41
25000 -- (-554.470) (-571.470) (-519.753) [-513.426] * (-526.725) [-526.498] (-573.396) (-577.466) -- 0:21:27
Average standard deviation of split frequencies: 0.068898
26000 -- (-573.203) (-563.178) (-535.618) [-520.622] * (-530.661) [-526.974] (-569.595) (-577.613) -- 0:21:51
27000 -- (-568.593) (-559.405) (-537.497) [-523.149] * (-524.287) [-523.886] (-576.480) (-576.650) -- 0:21:37
28000 -- (-567.358) (-572.721) (-529.930) [-521.850] * [-509.328] (-526.404) (-567.341) (-579.468) -- 0:21:24
29000 -- (-564.679) (-575.232) (-533.414) [-515.413] * [-513.546] (-526.328) (-577.477) (-576.194) -- 0:21:45
30000 -- (-560.943) (-562.959) (-527.864) [-515.012] * [-508.453] (-526.680) (-574.314) (-582.307) -- 0:21:33
Average standard deviation of split frequencies: 0.076859
31000 -- (-557.621) (-563.969) (-529.737) [-514.880] * [-512.731] (-524.982) (-577.853) (-572.490) -- 0:21:52
32000 -- (-567.976) (-564.531) (-534.303) [-509.391] * (-521.160) [-517.704] (-579.382) (-569.855) -- 0:21:40
33000 -- (-565.811) (-567.310) (-537.966) [-511.514] * [-526.068] (-526.662) (-575.729) (-568.937) -- 0:21:29
34000 -- (-564.104) (-566.064) (-529.416) [-513.850] * [-512.536] (-518.765) (-575.255) (-567.771) -- 0:21:46
35000 -- (-571.297) (-563.925) (-525.017) [-515.516] * [-514.303] (-525.200) (-580.604) (-574.089) -- 0:21:35
Average standard deviation of split frequencies: NA (no splits above min. frequency)
36000 -- (-571.498) (-559.663) (-531.134) [-515.067] * [-511.343] (-528.161) (-578.129) (-572.370) -- 0:21:25
37000 -- (-567.748) (-569.887) (-538.072) [-517.196] * [-523.575] (-524.282) (-567.443) (-580.905) -- 0:21:41
38000 -- (-567.999) (-571.551) (-530.859) [-518.264] * [-523.353] (-521.528) (-567.436) (-572.406) -- 0:21:31
39000 -- (-579.776) (-555.256) (-531.376) [-517.827] * [-521.832] (-531.881) (-569.613) (-567.126) -- 0:21:21
40000 -- (-565.901) (-558.345) (-525.418) [-518.717] * [-521.929] (-525.081) (-578.967) (-562.561) -- 0:21:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
41000 -- (-563.599) (-558.386) (-540.777) [-521.443] * [-518.329] (-524.764) (-577.005) (-569.273) -- 0:21:26
42000 -- (-564.919) (-567.814) [-531.529] (-528.278) * [-518.573] (-553.116) (-571.097) (-566.958) -- 0:21:40
43000 -- (-562.586) (-564.395) [-527.386] (-528.832) * [-517.217] (-562.008) (-574.276) (-566.469) -- 0:21:30
44000 -- (-559.147) (-563.862) [-528.645] (-572.136) * [-510.280] (-561.914) (-576.302) (-567.718) -- 0:21:21
45000 -- (-555.031) (-564.766) [-516.213] (-565.030) * [-515.992] (-553.740) (-574.507) (-570.040) -- 0:21:34
Average standard deviation of split frequencies: NA (no splits above min. frequency)
46000 -- (-556.671) (-572.306) [-515.446] (-564.303) * [-522.708] (-576.331) (-579.935) (-580.081) -- 0:21:25
47000 -- (-580.926) (-566.600) [-511.915] (-559.525) * [-520.035] (-572.378) (-587.592) (-574.400) -- 0:21:37
48000 -- (-573.137) (-570.658) [-523.750] (-560.388) * [-518.319] (-571.133) (-576.718) (-574.635) -- 0:21:29
49000 -- (-579.689) (-562.109) [-524.464] (-560.401) * [-514.770] (-574.340) (-575.881) (-575.423) -- 0:21:40
50000 -- (-560.052) (-573.083) [-522.213] (-564.520) * [-517.866] (-569.288) (-573.894) (-575.659) -- 0:21:32
Average standard deviation of split frequencies: NA (no splits above min. frequency)
51000 -- (-565.730) (-565.008) [-521.208] (-562.778) * [-517.939] (-571.690) (-574.761) (-575.703) -- 0:21:23
52000 -- (-574.565) (-567.803) [-523.138] (-559.467) * [-516.646] (-562.933) (-573.961) (-577.931) -- 0:21:34
53000 -- (-574.658) (-574.207) [-522.584] (-555.613) * [-518.730] (-561.849) (-581.288) (-589.859) -- 0:21:26
54000 -- (-564.567) (-574.440) [-523.306] (-564.654) * [-524.413] (-563.257) (-576.799) (-601.635) -- 0:21:36
55000 -- (-569.393) (-570.399) [-511.904] (-559.727) * [-523.213] (-563.200) (-571.361) (-573.653) -- 0:21:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
56000 -- (-567.215) (-568.104) [-515.871] (-558.430) * [-523.769] (-561.589) (-572.728) (-578.472) -- 0:21:38
57000 -- (-562.355) (-571.490) [-511.617] (-565.143) * [-522.735] (-563.835) (-572.940) (-560.696) -- 0:21:30
58000 -- (-554.286) (-567.880) [-512.164] (-567.714) * [-520.504] (-563.886) (-578.216) (-591.897) -- 0:21:23
59000 -- (-555.095) (-564.579) [-510.412] (-565.484) * [-520.071] (-567.997) (-577.173) (-585.305) -- 0:21:31
60000 -- (-556.394) (-566.754) [-511.768] (-565.673) * [-517.415] (-563.123) (-574.788) (-584.657) -- 0:21:24
Average standard deviation of split frequencies: NA (no splits above min. frequency)
61000 -- (-559.873) (-565.165) [-509.267] (-570.179) * [-514.648] (-561.194) (-571.559) (-579.941) -- 0:21:33
62000 -- (-566.214) (-565.328) [-512.077] (-565.944) * [-515.147] (-561.062) (-568.044) (-575.573) -- 0:21:25
63000 -- (-562.502) (-571.614) [-507.790] (-564.938) * [-517.106] (-561.279) (-575.660) (-574.452) -- 0:21:19
64000 -- (-561.096) (-568.231) [-508.860] (-555.664) * [-523.588] (-565.738) (-583.043) (-574.699) -- 0:21:27
65000 -- (-560.473) (-565.068) [-511.591] (-554.464) * [-521.284] (-568.752) (-578.998) (-568.976) -- 0:21:20
Average standard deviation of split frequencies: NA (no splits above min. frequency)
66000 -- (-561.004) (-565.608) [-513.991] (-554.172) * [-521.208] (-574.134) (-581.611) (-564.073) -- 0:21:27
67000 -- (-570.233) (-567.073) [-511.754] (-560.966) * [-520.217] (-578.080) (-577.935) (-564.847) -- 0:21:21
68000 -- (-572.626) (-566.531) [-511.299] (-560.221) * [-519.257] (-563.642) (-578.061) (-568.126) -- 0:21:28
69000 -- (-574.844) (-561.420) [-512.233] (-558.933) * [-519.344] (-560.420) (-578.988) (-576.436) -- 0:21:21
70000 -- (-576.324) (-564.511) [-512.656] (-557.595) * [-517.081] (-560.863) (-576.761) (-572.437) -- 0:21:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
71000 -- (-578.143) (-560.759) [-508.278] (-562.915) * [-517.647] (-569.748) (-572.456) (-570.054) -- 0:21:22
72000 -- (-569.234) (-564.026) [-514.399] (-558.336) * [-518.144] (-560.528) (-570.374) (-571.552) -- 0:21:28
73000 -- (-571.896) (-554.470) [-517.021] (-567.280) * [-521.657] (-565.842) (-566.438) (-577.501) -- 0:21:22
74000 -- (-574.919) (-553.855) [-516.952] (-565.944) * [-524.040] (-555.169) (-582.591) (-567.170) -- 0:21:28
75000 -- (-566.610) (-566.336) [-517.991] (-559.417) * [-521.178] (-566.661) (-572.257) (-568.222) -- 0:21:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
76000 -- (-568.471) (-560.451) [-516.365] (-554.815) * [-525.540] (-560.513) (-572.210) (-570.219) -- 0:21:28
77000 -- (-562.218) (-562.453) [-524.082] (-559.811) * [-519.315] (-566.620) (-569.612) (-577.097) -- 0:21:22
78000 -- (-568.073) (-567.092) [-528.735] (-563.623) * [-515.598] (-572.043) (-569.516) (-575.319) -- 0:21:16
79000 -- (-566.332) (-570.403) [-523.070] (-562.911) * [-518.347] (-572.762) (-571.757) (-577.289) -- 0:21:22
80000 -- (-573.063) (-571.753) [-509.964] (-559.348) * [-519.556] (-570.221) (-575.442) (-586.346) -- 0:21:16
Average standard deviation of split frequencies: NA (no splits above min. frequency)
81000 -- (-576.673) (-568.836) [-514.702] (-552.080) * [-519.411] (-570.886) (-573.546) (-576.871) -- 0:21:22
82000 -- (-571.806) (-565.216) [-517.110] (-566.587) * [-518.307] (-571.813) (-577.296) (-573.185) -- 0:21:16
83000 -- (-570.422) (-564.463) [-510.304] (-569.980) * [-520.086] (-569.275) (-585.597) (-574.180) -- 0:21:21
84000 -- (-573.393) (-564.475) [-513.978] (-568.136) * [-518.398] (-558.533) (-567.564) (-569.190) -- 0:21:15
85000 -- (-571.309) (-569.023) [-513.556] (-561.560) * [-517.996] (-558.494) (-577.822) (-577.822) -- 0:21:21
Average standard deviation of split frequencies: NA (no splits above min. frequency)
86000 -- (-565.047) (-569.180) [-513.194] (-561.001) * [-517.070] (-559.172) (-573.898) (-571.563) -- 0:21:15
87000 -- (-566.373) (-554.425) [-515.939] (-561.512) * [-520.732] (-557.308) (-573.420) (-568.606) -- 0:21:20
88000 -- (-565.858) (-551.933) [-512.494] (-562.741) * [-519.274] (-571.741) (-574.347) (-570.176) -- 0:21:14
89000 -- (-564.716) (-555.699) [-516.531] (-567.289) * [-517.991] (-573.181) (-573.198) (-573.525) -- 0:21:19
90000 -- (-568.425) (-552.676) [-513.880] (-558.767) * [-519.942] (-571.008) (-572.110) (-571.788) -- 0:21:14
Average standard deviation of split frequencies: NA (no splits above min. frequency)
91000 -- (-568.262) (-556.275) [-513.833] (-555.174) * [-518.357] (-569.449) (-567.800) (-572.363) -- 0:21:18
92000 -- (-567.785) (-561.079) [-513.814] (-553.453) * [-513.551] (-554.352) (-568.710) (-565.948) -- 0:21:13
93000 -- (-566.033) (-555.891) [-511.856] (-571.773) * [-510.608] (-562.550) (-573.425) (-567.064) -- 0:21:17
94000 -- (-566.254) (-559.830) [-515.722] (-569.187) * [-512.279] (-558.857) (-573.775) (-567.524) -- 0:21:12
95000 -- (-565.992) (-555.680) [-517.403] (-568.774) * [-516.948] (-558.786) (-570.436) (-567.633) -- 0:21:16
Average standard deviation of split frequencies: NA (no splits above min. frequency)
96000 -- (-568.557) (-564.389) [-515.556] (-570.082) * [-523.265] (-562.426) (-568.167) (-571.639) -- 0:21:11
97000 -- (-567.482) (-559.778) [-513.749] (-567.654) * [-528.771] (-577.516) (-570.910) (-578.232) -- 0:21:06
98000 -- (-560.016) (-556.391) [-516.897] (-572.305) * [-529.951] (-569.584) (-570.609) (-571.022) -- 0:21:10
99000 -- (-561.449) (-557.221) [-516.219] (-567.452) * [-523.175] (-563.370) (-572.829) (-571.357) -- 0:21:05
100000 -- (-562.420) (-555.817) [-518.485] (-562.418) * [-518.002] (-563.530) (-568.943) (-570.213) -- 0:21:09
Average standard deviation of split frequencies: NA (no splits above min. frequency)
101000 -- (-558.648) (-557.212) [-522.568] (-565.503) * [-516.360] (-565.606) (-573.933) (-577.334) -- 0:21:03
102000 -- (-550.326) (-557.217) [-516.118] (-570.206) * [-522.509] (-571.156) (-578.386) (-574.369) -- 0:21:07
103000 -- (-584.972) (-559.440) [-525.377] (-561.555) * [-518.785] (-569.425) (-583.439) (-572.706) -- 0:21:02
104000 -- (-586.129) (-555.540) [-520.629] (-570.362) * [-525.237] (-566.411) (-579.623) (-578.989) -- 0:21:06
105000 -- (-584.803) (-559.922) [-520.198] (-566.996) * [-524.220] (-564.200) (-578.627) (-572.430) -- 0:21:01
Average standard deviation of split frequencies: NA (no splits above min. frequency)
106000 -- (-556.429) (-557.761) [-519.519] (-558.726) * [-514.647] (-561.445) (-580.326) (-580.228) -- 0:21:05
107000 -- (-557.285) (-557.854) [-517.218] (-560.894) * [-514.924] (-560.563) (-577.644) (-584.777) -- 0:21:00
108000 -- (-553.791) (-561.145) [-516.743] (-561.268) * [-516.178] (-564.714) (-573.918) (-577.947) -- 0:21:03
109000 -- (-557.841) (-566.897) [-516.533] (-556.883) * [-508.304] (-571.470) (-573.364) (-566.520) -- 0:20:58
110000 -- (-560.563) (-569.274) [-517.381] (-552.906) * [-505.590] (-573.590) (-572.189) (-566.979) -- 0:20:54
Average standard deviation of split frequencies: NA (no splits above min. frequency)
111000 -- (-560.126) (-570.343) [-521.913] (-557.423) * [-511.499] (-573.191) (-570.352) (-566.973) -- 0:20:57
112000 -- (-557.042) (-571.415) [-521.918] (-555.291) * [-515.276] (-568.128) (-567.601) (-561.547) -- 0:20:52
113000 -- (-559.630) (-568.874) [-525.935] (-559.666) * [-511.520] (-573.362) (-573.976) (-563.564) -- 0:20:55
114000 -- (-553.622) (-573.748) [-530.198] (-561.354) * [-509.975] (-575.698) (-575.770) (-566.073) -- 0:20:51
115000 -- (-557.613) (-566.821) [-526.940] (-557.085) * [-514.957] (-566.640) (-572.743) (-564.557) -- 0:20:54
Average standard deviation of split frequencies: NA (no splits above min. frequency)
116000 -- (-565.629) (-567.598) [-520.708] (-557.349) * [-510.455] (-565.383) (-574.791) (-568.090) -- 0:20:49
117000 -- (-570.381) (-567.747) [-523.779] (-564.494) * [-511.007] (-569.444) (-572.787) (-565.150) -- 0:20:52
118000 -- (-569.276) (-563.534) [-518.698] (-576.187) * [-513.527] (-567.434) (-569.167) (-564.218) -- 0:20:48
119000 -- (-572.468) (-563.099) [-517.080] (-564.913) * [-507.490] (-567.729) (-577.935) (-559.394) -- 0:20:51
120000 -- (-564.180) (-565.548) [-518.322] (-558.828) * [-511.657] (-567.388) (-571.931) (-565.479) -- 0:20:46
Average standard deviation of split frequencies: NA (no splits above min. frequency)
121000 -- (-564.952) (-572.362) [-517.739] (-565.088) * [-503.535] (-569.731) (-576.708) (-573.259) -- 0:20:49
122000 -- (-562.466) (-570.787) [-513.513] (-566.039) * [-504.574] (-573.199) (-574.606) (-559.928) -- 0:20:45
123000 -- (-568.737) (-572.411) [-514.558] (-564.416) * [-503.664] (-577.196) (-573.799) (-563.910) -- 0:20:47
124000 -- (-563.814) (-575.619) [-517.845] (-571.045) * [-506.325] (-571.810) (-578.868) (-568.220) -- 0:20:43
125000 -- (-565.588) (-570.299) [-511.846] (-566.878) * [-509.167] (-576.578) (-577.264) (-569.491) -- 0:20:46
Average standard deviation of split frequencies: NA (no splits above min. frequency)
126000 -- (-562.126) (-567.124) [-520.307] (-565.081) * [-508.144] (-576.401) (-575.028) (-567.721) -- 0:20:41
127000 -- (-567.363) (-572.308) [-516.495] (-566.644) * [-507.669] (-554.898) (-569.530) (-570.731) -- 0:20:44
128000 -- (-565.262) (-573.082) [-510.098] (-558.030) * [-508.531] (-560.143) (-567.874) (-572.704) -- 0:20:39
129000 -- (-567.738) (-572.736) [-521.046] (-557.581) * [-511.304] (-561.493) (-572.062) (-578.871) -- 0:20:42
130000 -- (-563.448) (-577.047) [-520.501] (-556.976) * [-512.453] (-563.053) (-571.647) (-572.947) -- 0:20:38
Average standard deviation of split frequencies: NA (no splits above min. frequency)
131000 -- (-558.060) (-573.630) [-519.993] (-556.896) * [-514.005] (-566.574) (-567.281) (-573.851) -- 0:20:33
132000 -- (-558.627) (-583.457) [-521.414] (-557.401) * [-512.934] (-570.950) (-564.261) (-570.340) -- 0:20:36
133000 -- (-558.903) (-583.042) [-519.261] (-562.285) * [-512.414] (-565.319) (-574.032) (-571.599) -- 0:20:32
134000 -- (-561.227) (-583.113) [-517.953] (-559.989) * [-510.904] (-568.178) (-567.423) (-568.001) -- 0:20:34
135000 -- (-564.542) (-583.263) [-518.849] (-559.934) * [-510.907] (-572.517) (-563.495) (-570.637) -- 0:20:30
Average standard deviation of split frequencies: NA (no splits above min. frequency)
136000 -- (-567.136) (-566.146) [-523.550] (-563.446) * [-512.451] (-568.250) (-564.810) (-573.434) -- 0:20:32
137000 -- (-562.392) (-570.789) [-517.206] (-559.722) * [-520.092] (-573.799) (-565.281) (-577.908) -- 0:20:28
138000 -- (-571.143) (-567.717) [-520.641] (-561.745) * [-518.057] (-555.511) (-564.812) (-570.408) -- 0:20:30
139000 -- (-570.326) (-567.436) [-520.620] (-563.525) * [-521.238] (-560.302) (-576.406) (-572.563) -- 0:20:26
140000 -- (-567.866) (-571.008) [-522.145] (-560.524) * [-519.512] (-568.887) (-575.220) (-575.795) -- 0:20:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
141000 -- (-567.308) (-569.169) [-523.733] (-565.851) * [-518.280] (-567.879) (-574.215) (-570.721) -- 0:20:24
142000 -- (-564.476) (-568.376) [-521.991] (-574.282) * [-522.950] (-569.579) (-572.709) (-568.325) -- 0:20:20
143000 -- (-569.945) (-565.947) [-516.101] (-561.886) * [-520.290] (-568.738) (-567.264) (-567.538) -- 0:20:22
144000 -- (-563.382) (-562.304) [-521.769] (-562.326) * [-522.433] (-564.063) (-569.207) (-562.321) -- 0:20:18
145000 -- (-566.822) (-560.381) [-518.133] (-565.867) * [-516.690] (-567.889) (-565.555) (-570.307) -- 0:20:20
Average standard deviation of split frequencies: NA (no splits above min. frequency)
146000 -- (-560.529) (-557.575) [-521.202] (-561.273) * [-521.357] (-562.099) (-563.666) (-573.117) -- 0:20:16
147000 -- (-563.724) (-561.488) [-519.428] (-556.866) * [-521.199] (-573.618) (-562.539) (-574.069) -- 0:20:18
148000 -- (-565.400) (-562.916) [-516.080] (-557.197) * [-528.087] (-574.842) (-566.223) (-575.375) -- 0:20:14
149000 -- (-551.820) (-555.303) [-519.681] (-563.805) * [-516.285] (-559.581) (-571.076) (-576.387) -- 0:20:16
150000 -- (-556.874) (-560.482) [-519.212] (-565.998) * [-519.059] (-559.102) (-565.599) (-564.389) -- 0:20:12
Average standard deviation of split frequencies: NA (no splits above min. frequency)
151000 -- (-555.842) (-561.006) [-519.677] (-557.993) * [-514.867] (-560.610) (-565.879) (-577.163) -- 0:20:14
152000 -- (-559.058) (-562.964) [-517.518] (-557.623) * [-504.872] (-565.297) (-560.572) (-574.881) -- 0:20:10
153000 -- (-558.063) (-559.262) [-515.564] (-566.358) * [-505.399] (-572.062) (-564.645) (-574.328) -- 0:20:12
154000 -- (-555.621) (-555.495) [-515.963] (-564.974) * [-509.486] (-559.857) (-567.145) (-572.658) -- 0:20:08
155000 -- (-560.646) (-555.614) [-521.454] (-568.520) * [-510.942] (-564.757) (-564.790) (-578.734) -- 0:20:10
Average standard deviation of split frequencies: NA (no splits above min. frequency)
156000 -- (-558.033) (-554.778) [-522.903] (-564.725) * [-512.681] (-560.956) (-569.648) (-579.913) -- 0:20:06
157000 -- (-559.569) (-550.826) [-513.763] (-565.333) * [-512.864] (-569.299) (-568.478) (-576.469) -- 0:20:02
158000 -- (-559.545) (-561.351) [-517.378] (-562.461) * [-512.635] (-567.027) (-574.720) (-573.648) -- 0:20:04
159000 -- (-574.109) (-561.070) [-519.265] (-558.546) * [-515.524] (-560.484) (-573.057) (-572.201) -- 0:20:00
160000 -- (-569.244) (-559.761) [-518.869] (-557.416) * [-516.681] (-563.849) (-569.204) (-574.894) -- 0:20:02
Average standard deviation of split frequencies: NA (no splits above min. frequency)
161000 -- (-566.277) (-554.708) [-521.298] (-561.246) * [-514.825] (-562.357) (-582.496) (-574.892) -- 0:19:58
162000 -- (-568.061) (-562.756) [-512.217] (-558.810) * [-518.779] (-564.542) (-577.357) (-573.675) -- 0:20:00
163000 -- (-574.591) (-563.411) [-514.452] (-566.070) * [-518.668] (-567.272) (-576.820) (-576.442) -- 0:19:56
164000 -- (-567.589) (-561.787) [-512.284] (-567.721) * [-519.586] (-562.046) (-575.971) (-577.387) -- 0:19:57
165000 -- (-560.930) (-564.683) [-514.430] (-565.119) * [-516.951] (-553.265) (-571.692) (-576.124) -- 0:19:54
Average standard deviation of split frequencies: NA (no splits above min. frequency)
166000 -- (-559.805) (-564.518) [-524.549] (-562.329) * [-518.762] (-554.754) (-576.581) (-568.852) -- 0:19:55
167000 -- (-559.892) (-569.780) [-518.022] (-568.291) * [-517.018] (-560.127) (-580.876) (-577.549) -- 0:19:52
168000 -- (-562.920) (-565.956) [-522.137] (-564.980) * [-518.443] (-559.152) (-581.208) (-567.222) -- 0:19:53
169000 -- (-566.157) (-567.496) [-516.327] (-562.230) * [-521.908] (-558.799) (-582.098) (-563.435) -- 0:19:49
170000 -- (-566.530) (-563.484) [-516.258] (-560.933) * [-521.401] (-564.374) (-574.748) (-563.513) -- 0:19:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
171000 -- (-565.367) (-570.591) [-516.763] (-565.376) * [-517.526] (-564.388) (-572.387) (-564.621) -- 0:19:47
172000 -- (-563.529) (-571.517) [-519.507] (-563.421) * [-517.608] (-568.578) (-569.144) (-571.505) -- 0:19:49
173000 -- (-559.602) (-574.312) [-512.472] (-563.403) * [-515.997] (-560.767) (-567.302) (-570.106) -- 0:19:45
174000 -- (-560.487) (-576.951) [-511.502] (-561.380) * [-513.590] (-573.250) (-570.377) (-576.390) -- 0:19:46
175000 -- (-564.336) (-569.709) [-516.962] (-555.281) * [-519.035] (-566.344) (-567.715) (-572.480) -- 0:19:43
Average standard deviation of split frequencies: NA (no splits above min. frequency)
176000 -- (-565.264) (-567.309) [-518.866] (-555.018) * [-515.752] (-564.122) (-580.156) (-569.240) -- 0:19:44
177000 -- (-560.688) (-565.211) [-515.982] (-559.810) * [-520.137] (-562.432) (-579.566) (-562.546) -- 0:19:41
178000 -- (-565.800) (-557.574) [-517.503] (-554.680) * [-515.175] (-567.233) (-588.092) (-569.209) -- 0:19:42
179000 -- (-566.497) (-561.840) [-513.730] (-553.119) * [-515.272] (-559.342) (-580.601) (-568.569) -- 0:19:43
180000 -- (-562.170) (-565.461) [-513.949] (-559.694) * [-519.669] (-556.293) (-575.114) (-571.301) -- 0:19:39
Average standard deviation of split frequencies: NA (no splits above min. frequency)
181000 -- (-565.546) (-562.723) [-511.471] (-558.718) * [-516.750] (-561.571) (-578.224) (-569.983) -- 0:19:40
182000 -- (-568.019) (-562.328) [-511.275] (-564.030) * [-514.357] (-559.255) (-578.165) (-570.593) -- 0:19:37
183000 -- (-560.709) (-566.421) [-514.690] (-569.156) * [-514.720] (-563.712) (-580.521) (-571.903) -- 0:19:34
184000 -- (-563.514) (-568.314) [-509.939] (-566.968) * [-513.974] (-560.250) (-580.807) (-569.837) -- 0:19:35
185000 -- (-562.174) (-567.167) [-510.423] (-559.690) * [-518.101] (-567.183) (-569.465) (-568.906) -- 0:19:31
Average standard deviation of split frequencies: NA (no splits above min. frequency)
186000 -- (-558.700) (-562.673) [-516.247] (-557.674) * [-520.993] (-561.121) (-570.170) (-571.101) -- 0:19:32
187000 -- (-558.849) (-563.397) [-513.198] (-558.736) * [-513.857] (-564.180) (-568.729) (-563.085) -- 0:19:29
188000 -- (-555.208) (-570.814) [-513.897] (-561.586) * [-514.814] (-563.616) (-572.547) (-563.252) -- 0:19:30
189000 -- (-561.511) (-565.746) [-513.666] (-557.897) * [-514.309] (-565.482) (-575.418) (-559.899) -- 0:19:27
190000 -- (-557.155) (-562.906) [-515.734] (-555.138) * [-508.994] (-568.681) (-581.163) (-563.251) -- 0:19:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
191000 -- (-558.513) (-565.851) [-512.972] (-557.897) * [-515.877] (-569.013) (-582.125) (-567.829) -- 0:19:24
192000 -- (-555.531) (-562.078) [-515.842] (-558.933) * [-513.302] (-570.856) (-582.682) (-581.039) -- 0:19:25
193000 -- (-552.722) (-567.306) [-519.778] (-566.832) * [-515.087] (-579.165) (-583.527) (-594.546) -- 0:19:22
194000 -- (-557.015) (-564.249) [-520.483] (-562.067) * [-518.570] (-578.072) (-581.851) (-578.361) -- 0:19:23
195000 -- (-560.482) (-568.444) [-505.020] (-560.144) * [-519.575] (-579.819) (-576.931) (-575.400) -- 0:19:20
Average standard deviation of split frequencies: NA (no splits above min. frequency)
196000 -- (-560.890) (-565.928) [-509.863] (-564.040) * [-525.711] (-580.802) (-580.432) (-575.685) -- 0:19:20
197000 -- (-560.775) (-569.286) [-510.397] (-565.907) * [-528.718] (-578.772) (-581.937) (-578.978) -- 0:19:17
198000 -- (-563.463) (-566.600) [-516.644] (-561.550) * [-523.010] (-579.813) (-582.169) (-578.939) -- 0:19:14
199000 -- (-565.867) (-568.771) [-517.295] (-561.639) * [-526.514] (-578.531) (-596.149) (-581.604) -- 0:19:15
200000 -- (-561.263) (-579.030) [-521.013] (-556.057) * [-524.410] (-577.043) (-585.604) (-586.233) -- 0:19:12
Average standard deviation of split frequencies: NA (no splits above min. frequency)
201000 -- (-565.714) (-571.676) [-522.255] (-560.048) * [-516.631] (-562.645) (-578.628) (-574.915) -- 0:19:12
202000 -- (-565.946) (-572.099) [-517.222] (-553.318) * [-523.978] (-559.304) (-573.816) (-578.589) -- 0:19:09
203000 -- (-555.826) (-575.801) [-520.239] (-554.587) * [-520.921] (-559.517) (-574.528) (-576.573) -- 0:19:06
204000 -- (-558.447) (-568.874) [-517.730] (-555.087) * [-518.718] (-557.290) (-580.002) (-575.918) -- 0:19:07
205000 -- (-563.380) (-583.049) [-516.764] (-552.940) * [-519.044] (-566.874) (-573.897) (-588.850) -- 0:19:04
Average standard deviation of split frequencies: NA (no splits above min. frequency)
206000 -- (-560.609) (-574.482) [-515.515] (-559.591) * [-515.520] (-563.725) (-570.065) (-578.828) -- 0:19:04
207000 -- (-558.990) (-565.286) [-530.029] (-560.119) * [-514.138] (-563.729) (-577.437) (-579.101) -- 0:19:01
208000 -- (-561.747) (-565.246) [-523.999] (-555.773) * [-514.761] (-566.130) (-574.784) (-572.112) -- 0:19:02
209000 -- (-563.394) (-575.193) [-521.374] (-556.849) * [-513.226] (-572.400) (-566.513) (-580.684) -- 0:18:59
210000 -- (-561.852) (-572.254) [-519.627] (-558.344) * [-517.964] (-570.100) (-572.310) (-581.720) -- 0:18:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
211000 -- (-567.532) (-568.414) [-521.918] (-559.796) * [-513.413] (-571.701) (-571.634) (-580.607) -- 0:18:56
212000 -- (-566.195) (-567.326) [-522.351] (-560.387) * [-510.453] (-574.024) (-572.668) (-587.867) -- 0:18:57
213000 -- (-565.379) (-571.024) [-512.810] (-567.809) * [-510.692] (-557.810) (-570.004) (-576.068) -- 0:18:54
214000 -- (-559.836) (-566.253) [-511.509] (-562.587) * [-514.377] (-558.373) (-587.707) (-572.154) -- 0:18:54
215000 -- (-559.948) (-567.039) [-515.824] (-553.859) * [-512.575] (-557.995) (-582.637) (-575.783) -- 0:18:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
216000 -- (-563.142) (-565.983) [-515.328] (-558.999) * [-516.067] (-560.449) (-584.306) (-571.546) -- 0:18:52
217000 -- (-576.053) (-560.941) [-518.744] (-560.997) * [-518.087] (-561.313) (-585.222) (-573.202) -- 0:18:49
218000 -- (-574.138) (-561.556) [-520.848] (-571.657) * [-518.199] (-578.298) (-583.146) (-568.581) -- 0:18:49
219000 -- (-574.624) (-560.459) [-528.845] (-567.377) * [-518.669] (-571.461) (-581.056) (-572.742) -- 0:18:46
220000 -- (-576.035) (-568.251) [-523.790] (-566.783) * [-512.133] (-573.151) (-577.874) (-568.497) -- 0:18:47
Average standard deviation of split frequencies: NA (no splits above min. frequency)
221000 -- (-573.990) (-558.070) [-525.006] (-570.124) * [-516.723] (-569.281) (-576.147) (-569.529) -- 0:18:44
222000 -- (-573.604) (-558.862) [-522.128] (-563.583) * [-516.889] (-561.712) (-580.597) (-573.030) -- 0:18:44
223000 -- (-572.383) (-560.639) [-524.500] (-565.445) * [-513.448] (-563.408) (-577.303) (-564.183) -- 0:18:45
224000 -- (-576.331) (-556.963) [-520.941] (-556.812) * [-514.243] (-572.567) (-572.827) (-570.082) -- 0:18:42
225000 -- (-573.017) (-557.812) [-521.755] (-568.115) * [-520.042] (-563.309) (-580.538) (-564.657) -- 0:18:42
Average standard deviation of split frequencies: NA (no splits above min. frequency)
226000 -- (-580.722) (-566.136) [-524.275] (-563.485) * [-518.679] (-562.886) (-581.538) (-565.510) -- 0:18:39
227000 -- (-573.007) (-566.550) [-522.662] (-573.456) * [-510.521] (-566.645) (-584.603) (-563.297) -- 0:18:40
228000 -- (-568.048) (-567.181) [-528.741] (-572.693) * [-512.312] (-571.278) (-580.200) (-561.980) -- 0:18:37
229000 -- (-572.890) (-572.362) [-506.451] (-566.417) * [-511.871] (-571.783) (-583.107) (-566.406) -- 0:18:37
230000 -- (-575.552) (-567.452) [-527.241] (-561.866) * [-523.219] (-568.480) (-585.513) (-569.470) -- 0:18:34
Average standard deviation of split frequencies: NA (no splits above min. frequency)
231000 -- (-581.550) (-564.467) [-526.735] (-560.135) * [-520.708] (-574.091) (-580.330) (-568.528) -- 0:18:35
232000 -- (-577.563) (-569.343) [-527.880] (-559.384) * [-519.897] (-577.608) (-574.357) (-565.524) -- 0:18:32
233000 -- (-577.356) (-566.299) [-532.771] (-558.150) * [-520.523] (-568.589) (-570.661) (-569.700) -- 0:18:32
234000 -- (-575.655) (-565.372) [-532.724] (-552.704) * [-513.283] (-568.928) (-574.164) (-576.646) -- 0:18:29
235000 -- (-573.546) (-564.473) [-535.128] (-555.854) * [-520.566] (-565.764) (-570.442) (-574.664) -- 0:18:30
Average standard deviation of split frequencies: NA (no splits above min. frequency)
236000 -- (-560.068) (-562.432) [-525.914] (-556.633) * [-519.621] (-565.000) (-580.160) (-578.277) -- 0:18:27
237000 -- (-558.687) (-564.647) [-528.080] (-558.414) * [-513.421] (-562.120) (-580.072) (-583.177) -- 0:18:24
238000 -- (-556.631) (-563.653) [-528.557] (-563.456) * [-515.316] (-570.137) (-572.952) (-579.904) -- 0:18:24
239000 -- (-560.103) (-566.934) [-526.400] (-559.358) * [-511.862] (-568.306) (-574.594) (-584.193) -- 0:18:24
240000 -- (-564.361) (-562.458) [-527.449] (-561.518) * [-516.121] (-566.760) (-582.072) (-578.991) -- 0:18:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
241000 -- (-566.220) (-567.489) [-526.027] (-570.298) * [-517.911] (-561.808) (-578.642) (-587.461) -- 0:18:19
242000 -- (-560.569) (-564.968) [-516.216] (-564.114) * [-518.652] (-560.430) (-578.779) (-589.844) -- 0:18:19
243000 -- (-559.700) (-565.111) [-513.086] (-564.706) * [-515.573] (-563.262) (-571.817) (-580.786) -- 0:18:16
244000 -- (-569.405) (-564.280) [-527.371] (-565.300) * [-517.048] (-563.806) (-573.106) (-579.642) -- 0:18:16
245000 -- (-566.820) (-566.493) [-521.407] (-570.808) * [-514.657] (-574.419) (-572.205) (-570.232) -- 0:18:13
Average standard deviation of split frequencies: NA (no splits above min. frequency)
246000 -- (-566.756) (-566.185) [-521.700] (-569.996) * [-520.085] (-573.469) (-569.811) (-572.176) -- 0:18:14
247000 -- (-571.147) (-577.141) [-519.491] (-565.876) * [-519.957] (-570.279) (-565.793) (-566.005) -- 0:18:11
248000 -- (-572.610) (-576.799) [-517.062] (-557.761) * [-518.104] (-571.195) (-568.592) (-559.991) -- 0:18:08
249000 -- (-573.630) (-579.528) [-521.316] (-559.856) * [-519.040] (-574.100) (-562.808) (-563.262) -- 0:18:08
250000 -- (-581.318) (-579.177) [-528.185] (-563.576) * [-519.400] (-568.991) (-567.858) (-565.789) -- 0:18:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
251000 -- (-577.502) (-576.057) [-524.979] (-554.886) * [-518.263] (-571.709) (-566.791) (-564.046) -- 0:18:06
252000 -- (-581.020) (-567.592) [-520.654] (-558.664) * [-520.508] (-573.012) (-571.585) (-567.405) -- 0:18:03
253000 -- (-579.858) (-571.568) [-519.438] (-559.278) * [-518.781] (-572.238) (-565.370) (-565.313) -- 0:18:03
254000 -- (-570.289) (-576.746) [-516.137] (-562.820) * [-518.434] (-570.240) (-567.986) (-567.672) -- 0:18:00
255000 -- (-573.261) (-558.689) [-518.518] (-560.713) * [-519.126] (-568.999) (-564.607) (-571.082) -- 0:17:58
Average standard deviation of split frequencies: NA (no splits above min. frequency)
256000 -- (-572.143) (-557.958) [-511.096] (-557.311) * [-521.314] (-572.505) (-565.041) (-574.925) -- 0:17:58
257000 -- (-576.994) (-564.149) [-511.383] (-556.443) * [-520.967] (-576.946) (-572.009) (-573.680) -- 0:17:58
258000 -- (-579.218) (-561.339) [-513.069] (-554.999) * [-516.706] (-573.854) (-571.078) (-570.903) -- 0:17:55
259000 -- (-564.782) (-563.320) [-506.294] (-560.341) * [-517.853] (-571.424) (-559.434) (-568.281) -- 0:17:55
260000 -- (-562.083) (-559.953) [-512.189] (-557.667) * [-522.812] (-569.397) (-581.915) (-574.880) -- 0:17:53
Average standard deviation of split frequencies: NA (no splits above min. frequency)
261000 -- (-565.264) (-563.046) [-504.523] (-562.452) * [-527.212] (-571.383) (-581.192) (-577.446) -- 0:17:53
262000 -- (-572.190) (-561.046) [-508.785] (-556.550) * [-518.842] (-566.411) (-574.683) (-569.101) -- 0:17:50
263000 -- (-558.955) (-569.908) [-510.295] (-552.539) * [-517.547] (-569.303) (-578.864) (-570.165) -- 0:17:50
264000 -- (-569.261) (-567.111) [-513.230] (-560.514) * [-519.614] (-561.219) (-575.061) (-574.511) -- 0:17:47
265000 -- (-566.212) (-562.573) [-515.724] (-561.267) * [-525.365] (-573.765) (-568.120) (-582.592) -- 0:17:47
Average standard deviation of split frequencies: NA (no splits above min. frequency)
266000 -- (-562.392) (-571.626) [-518.098] (-557.121) * [-520.763] (-566.641) (-573.310) (-573.791) -- 0:17:45
267000 -- (-560.587) (-565.157) [-514.934] (-559.093) * [-517.533] (-561.686) (-575.571) (-583.285) -- 0:17:45
268000 -- (-555.920) (-564.794) [-515.015] (-570.108) * [-523.403] (-579.979) (-578.070) (-575.783) -- 0:17:45
269000 -- (-562.072) (-566.935) [-512.598] (-567.177) * [-523.218] (-568.804) (-576.054) (-574.564) -- 0:17:42
270000 -- (-561.188) (-567.425) [-507.414] (-561.399) * [-518.817] (-578.077) (-570.502) (-570.419) -- 0:17:42
Average standard deviation of split frequencies: NA (no splits above min. frequency)
271000 -- (-560.830) (-567.493) [-505.216] (-561.981) * [-523.487] (-573.305) (-576.767) (-572.887) -- 0:17:39
272000 -- (-557.048) (-563.612) [-509.332] (-561.784) * [-520.675] (-573.723) (-567.276) (-565.931) -- 0:17:39
273000 -- (-556.188) (-571.902) [-507.806] (-563.002) * [-523.523] (-569.034) (-566.039) (-572.089) -- 0:17:37
274000 -- (-568.982) (-569.443) [-519.069] (-555.438) * [-517.839] (-571.850) (-567.429) (-577.598) -- 0:17:37
275000 -- (-569.440) (-567.383) [-521.923] (-566.026) * [-518.482] (-568.238) (-570.439) (-576.194) -- 0:17:34
Average standard deviation of split frequencies: NA (no splits above min. frequency)
276000 -- (-566.457) (-569.811) [-512.535] (-559.640) * [-519.061] (-573.683) (-575.635) (-581.298) -- 0:17:34
277000 -- (-574.569) (-566.438) [-513.853] (-560.769) * [-514.475] (-567.552) (-571.506) (-579.705) -- 0:17:31
278000 -- (-564.317) (-572.082) [-515.800] (-562.143) * [-517.236] (-570.168) (-574.668) (-583.956) -- 0:17:31
279000 -- (-567.659) (-574.672) [-521.515] (-563.306) * [-516.311] (-574.504) (-574.288) (-590.854) -- 0:17:29
280000 -- (-563.751) (-568.319) [-517.308] (-564.200) * [-519.321] (-579.874) (-565.219) (-588.214) -- 0:17:29
Average standard deviation of split frequencies: NA (no splits above min. frequency)
281000 -- (-564.580) (-565.367) [-516.623] (-560.356) * [-518.409] (-580.462) (-566.639) (-589.742) -- 0:17:26
282000 -- (-565.056) (-564.317) [-517.126] (-553.222) * [-521.214] (-575.171) (-574.366) (-590.740) -- 0:17:26
283000 -- (-568.370) (-563.121) [-517.073] (-554.431) * [-520.521] (-564.625) (-573.756) (-590.081) -- 0:17:23
284000 -- (-571.059) (-560.442) [-517.414] (-560.696) * [-518.234] (-573.901) (-572.965) (-587.684) -- 0:17:23
285000 -- (-563.012) (-561.162) [-519.024] (-553.243) * [-523.247] (-573.952) (-568.425) (-587.006) -- 0:17:21
Average standard deviation of split frequencies: NA (no splits above min. frequency)
286000 -- (-571.858) (-564.913) [-514.808] (-547.048) * [-523.490] (-567.725) (-570.539) (-571.247) -- 0:17:21
287000 -- (-568.050) (-566.720) [-512.315] (-548.065) * [-520.121] (-569.650) (-578.862) (-568.842) -- 0:17:18
288000 -- (-567.354) (-564.110) [-512.099] (-551.418) * [-520.811] (-570.900) (-578.603) (-567.446) -- 0:17:18
289000 -- (-571.481) (-556.586) [-513.912] (-553.739) * [-526.839] (-565.193) (-575.310) (-566.129) -- 0:17:15
290000 -- (-569.537) (-562.099) [-512.916] (-570.567) * [-522.517] (-560.057) (-575.244) (-571.234) -- 0:17:13
Average standard deviation of split frequencies: NA (no splits above min. frequency)
291000 -- (-570.046) (-562.784) [-511.774] (-567.425) * [-521.399] (-557.977) (-571.430) (-584.865) -- 0:17:13
292000 -- (-567.733) (-564.230) [-510.956] (-568.250) * [-530.105] (-559.840) (-569.547) (-586.609) -- 0:17:10
293000 -- (-572.717) (-561.507) [-510.060] (-566.468) * [-530.645] (-558.216) (-568.955) (-584.942) -- 0:17:10
294000 -- (-566.623) (-567.732) [-505.982] (-564.241) * [-528.802] (-563.580) (-567.491) (-579.850) -- 0:17:07
295000 -- (-563.499) (-568.164) [-505.168] (-564.766) * [-524.237] (-565.736) (-570.540) (-580.810) -- 0:17:07
Average standard deviation of split frequencies: NA (no splits above min. frequency)
296000 -- (-566.346) (-573.102) [-509.602] (-562.855) * [-524.661] (-567.398) (-571.545) (-579.859) -- 0:17:05
297000 -- (-569.088) (-576.314) [-507.122] (-560.958) * [-522.705] (-571.911) (-575.800) (-578.992) -- 0:17:04
298000 -- (-565.095) (-575.487) [-505.181] (-565.901) * [-527.258] (-573.404) (-572.114) (-584.086) -- 0:17:02
299000 -- (-563.695) (-571.104) [-507.731] (-559.706) * [-524.179] (-568.374) (-568.074) (-582.116) -- 0:16:59
300000 -- (-561.301) (-569.232) [-509.185] (-564.753) * [-521.562] (-573.088) (-571.037) (-576.130) -- 0:16:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
301000 -- (-560.515) (-563.838) [-505.528] (-557.447) * [-519.780] (-577.699) (-567.969) (-576.835) -- 0:16:57
302000 -- (-561.389) (-568.414) [-510.979] (-562.383) * [-519.270] (-572.971) (-567.075) (-576.770) -- 0:16:56
303000 -- (-557.310) (-573.745) [-516.105] (-562.922) * [-518.755] (-571.743) (-572.123) (-575.603) -- 0:16:54
304000 -- (-551.500) (-566.590) [-516.194] (-564.668) * [-517.812] (-570.844) (-572.406) (-573.348) -- 0:16:54
305000 -- (-555.516) (-566.876) [-516.430] (-570.067) * [-520.355] (-569.601) (-567.840) (-577.959) -- 0:16:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
306000 -- (-553.042) (-566.097) [-517.806] (-568.349) * [-524.045] (-569.023) (-569.690) (-571.450) -- 0:16:51
307000 -- (-559.212) (-565.252) [-513.013] (-565.854) * [-521.674] (-566.369) (-573.643) (-582.790) -- 0:16:49
308000 -- (-556.503) (-572.153) [-513.914] (-565.302) * [-519.111] (-565.322) (-572.858) (-580.480) -- 0:16:48
309000 -- (-572.238) (-571.552) [-513.618] (-562.315) * [-520.102] (-569.281) (-570.530) (-581.396) -- 0:16:48
310000 -- (-567.791) (-577.641) [-512.841] (-558.747) * [-516.877] (-565.163) (-573.933) (-572.775) -- 0:16:46
Average standard deviation of split frequencies: NA (no splits above min. frequency)
311000 -- (-568.257) (-565.680) [-523.245] (-558.770) * [-518.122] (-572.593) (-579.363) (-575.620) -- 0:16:45
312000 -- (-567.870) (-562.872) [-528.863] (-561.937) * [-516.686] (-569.671) (-574.196) (-570.493) -- 0:16:43
313000 -- (-568.039) (-563.470) [-520.874] (-556.935) * [-518.017] (-558.576) (-573.997) (-575.221) -- 0:16:43
314000 -- (-560.797) (-571.430) [-523.695] (-561.402) * [-518.513] (-557.671) (-571.742) (-574.152) -- 0:16:40
315000 -- (-566.440) (-569.661) [-523.224] (-564.285) * [-520.805] (-557.062) (-574.086) (-570.928) -- 0:16:40
Average standard deviation of split frequencies: NA (no splits above min. frequency)
316000 -- (-569.042) (-571.396) [-524.147] (-560.668) * [-523.662] (-560.551) (-565.265) (-573.318) -- 0:16:37
317000 -- (-570.332) (-569.080) [-524.860] (-559.497) * [-525.726] (-566.355) (-568.956) (-575.609) -- 0:16:37
318000 -- (-575.609) (-572.901) [-525.655] (-564.725) * [-522.210] (-571.759) (-568.210) (-566.633) -- 0:16:35
319000 -- (-563.189) (-574.326) [-523.273] (-560.779) * [-525.197] (-561.408) (-574.606) (-565.187) -- 0:16:34
320000 -- (-561.941) (-571.443) [-519.724] (-565.109) * [-516.841] (-563.228) (-571.202) (-568.463) -- 0:16:32
Average standard deviation of split frequencies: NA (no splits above min. frequency)
321000 -- (-561.135) (-575.896) [-522.758] (-557.589) * [-521.716] (-559.342) (-571.889) (-563.925) -- 0:16:32
322000 -- (-559.548) (-580.472) [-523.186] (-560.584) * [-519.960] (-567.005) (-573.520) (-562.216) -- 0:16:29
323000 -- (-559.271) (-576.111) [-522.166] (-554.205) * [-516.919] (-565.801) (-574.210) (-566.996) -- 0:16:29
324000 -- (-558.572) (-577.213) [-521.882] (-567.211) * [-515.137] (-559.033) (-574.554) (-566.877) -- 0:16:28
325000 -- (-563.988) (-562.459) [-524.972] (-568.155) * [-517.907] (-567.265) (-574.956) (-574.401) -- 0:16:26
Average standard deviation of split frequencies: NA (no splits above min. frequency)
326000 -- (-557.838) (-563.339) [-515.658] (-563.913) * [-519.930] (-563.410) (-574.637) (-569.340) -- 0:16:26
327000 -- (-562.232) (-561.602) [-507.467] (-567.824) * [-523.151] (-564.151) (-575.451) (-567.073) -- 0:16:23
328000 -- (-559.161) (-560.925) [-510.095] (-573.679) * [-516.539] (-561.972) (-577.622) (-566.859) -- 0:16:23
329000 -- (-561.980) (-562.319) [-515.588] (-564.432) * [-514.806] (-565.423) (-576.314) (-570.129) -- 0:16:21
330000 -- (-564.897) (-564.798) [-506.944] (-565.994) * [-516.467] (-567.422) (-578.738) (-582.591) -- 0:16:20
Average standard deviation of split frequencies: NA (no splits above min. frequency)
331000 -- (-569.894) (-560.708) [-507.223] (-564.699) * [-519.561] (-568.302) (-577.135) (-579.462) -- 0:16:18
332000 -- (-574.880) (-567.421) [-508.129] (-566.840) * [-518.318] (-569.181) (-571.442) (-574.203) -- 0:16:17
333000 -- (-568.848) (-566.100) [-504.714] (-568.122) * [-514.735] (-561.545) (-572.074) (-578.832) -- 0:16:15
334000 -- (-566.240) (-560.343) [-505.204] (-565.657) * [-514.613] (-561.738) (-583.273) (-577.337) -- 0:16:13
335000 -- (-572.726) (-561.940) [-512.837] (-561.600) * [-515.430] (-564.212) (-574.605) (-579.586) -- 0:16:12
Average standard deviation of split frequencies: NA (no splits above min. frequency)
336000 -- (-572.571) (-562.770) [-509.675] (-565.631) * [-515.563] (-564.497) (-571.744) (-577.490) -- 0:16:12
337000 -- (-552.648) (-566.972) [-518.619] (-565.546) * [-516.534] (-564.742) (-571.480) (-576.433) -- 0:16:09
338000 -- (-561.373) (-561.796) [-518.488] (-568.925) * [-516.899] (-558.356) (-570.313) (-571.945) -- 0:16:09
339000 -- (-560.667) (-559.908) [-517.847] (-555.359) * [-515.498] (-555.920) (-577.096) (-574.292) -- 0:16:07
340000 -- (-564.931) (-557.346) [-517.322] (-553.709) * [-519.239] (-571.093) (-572.325) (-587.012) -- 0:16:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
341000 -- (-562.303) (-557.593) [-516.523] (-555.278) * [-520.870] (-570.654) (-574.503) (-582.112) -- 0:16:04
342000 -- (-558.167) (-557.258) [-516.461] (-554.459) * [-519.581] (-565.709) (-571.168) (-588.140) -- 0:16:03
343000 -- (-569.746) (-560.026) [-517.172] (-561.633) * [-518.280] (-555.993) (-574.953) (-586.720) -- 0:16:01
344000 -- (-575.070) (-560.970) [-517.136] (-565.669) * [-523.405] (-554.622) (-575.377) (-586.996) -- 0:16:01
345000 -- (-571.647) (-564.711) [-522.146] (-560.938) * [-522.056] (-567.359) (-573.793) (-573.138) -- 0:15:58
Average standard deviation of split frequencies: NA (no splits above min. frequency)
346000 -- (-571.533) (-565.407) [-520.498] (-561.811) * [-524.150] (-567.005) (-581.704) (-570.897) -- 0:15:56
347000 -- (-568.900) (-566.916) [-524.769] (-554.028) * [-518.610] (-564.466) (-575.341) (-581.805) -- 0:15:55
348000 -- (-569.263) (-573.055) [-517.203] (-551.705) * [-516.875] (-556.665) (-562.927) (-581.167) -- 0:15:53
349000 -- (-567.857) (-572.887) [-518.235] (-551.690) * [-512.392] (-563.944) (-556.480) (-587.017) -- 0:15:53
350000 -- (-563.765) (-568.437) [-521.001] (-559.628) * [-508.071] (-567.014) (-560.643) (-579.619) -- 0:15:50
Average standard deviation of split frequencies: NA (no splits above min. frequency)
351000 -- (-566.107) (-569.372) [-516.464] (-556.304) * [-511.173] (-565.077) (-562.508) (-580.923) -- 0:15:50
352000 -- (-564.838) (-563.766) [-509.681] (-553.471) * [-513.749] (-564.057) (-565.289) (-579.444) -- 0:15:48
353000 -- (-573.192) (-564.778) [-509.036] (-553.491) * [-517.819] (-558.375) (-569.635) (-579.511) -- 0:15:47
354000 -- (-568.456) (-562.966) [-512.972] (-554.395) * [-516.648] (-559.169) (-583.190) (-574.702) -- 0:15:45
355000 -- (-568.700) (-569.531) [-507.886] (-558.225) * [-518.488] (-559.459) (-575.033) (-568.068) -- 0:15:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
356000 -- (-568.572) (-565.921) [-510.732] (-555.768) * [-519.011] (-557.899) (-572.875) (-568.510) -- 0:15:42
357000 -- (-578.182) (-562.663) [-515.000] (-556.626) * [-519.199] (-561.182) (-570.611) (-565.752) -- 0:15:41
358000 -- (-563.811) (-561.666) [-512.199] (-553.517) * [-517.529] (-561.183) (-574.166) (-566.654) -- 0:15:39
359000 -- (-581.415) (-559.214) [-522.338] (-552.083) * [-513.541] (-558.912) (-579.682) (-569.282) -- 0:15:39
360000 -- (-583.510) (-567.657) [-519.854] (-549.600) * [-523.303] (-569.041) (-576.407) (-570.329) -- 0:15:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
361000 -- (-570.419) (-559.136) [-526.351] (-560.904) * [-520.565] (-567.037) (-574.024) (-575.757) -- 0:15:36
362000 -- (-572.253) (-555.508) [-521.578] (-552.304) * [-523.276] (-568.127) (-575.460) (-571.850) -- 0:15:34
363000 -- (-570.307) (-558.747) [-518.809] (-555.572) * [-525.840] (-558.410) (-570.988) (-577.582) -- 0:15:33
364000 -- (-569.755) (-562.508) [-513.913] (-549.527) * [-524.828] (-561.521) (-573.009) (-577.298) -- 0:15:33
365000 -- (-571.168) (-565.981) [-517.625] (-568.539) * [-518.314] (-567.504) (-571.738) (-576.724) -- 0:15:30
Average standard deviation of split frequencies: NA (no splits above min. frequency)
366000 -- (-573.610) (-566.698) [-518.215] (-564.502) * [-516.202] (-570.164) (-579.893) (-576.121) -- 0:15:30
367000 -- (-571.880) (-566.677) [-524.442] (-560.366) * [-521.497] (-573.455) (-573.877) (-578.562) -- 0:15:27
368000 -- (-573.112) (-565.585) [-518.484] (-575.596) * [-522.071] (-576.247) (-578.639) (-575.221) -- 0:15:27
369000 -- (-566.007) (-574.212) [-517.693] (-564.859) * [-516.828] (-570.869) (-579.854) (-570.957) -- 0:15:25
370000 -- (-566.507) (-574.235) [-515.783] (-570.178) * [-521.608] (-568.688) (-572.949) (-567.609) -- 0:15:24
Average standard deviation of split frequencies: NA (no splits above min. frequency)
371000 -- (-571.208) (-579.940) [-513.261] (-570.847) * [-517.033] (-569.224) (-574.010) (-573.089) -- 0:15:22
372000 -- (-575.062) (-568.624) [-518.293] (-570.277) * [-517.810] (-574.616) (-578.457) (-572.825) -- 0:15:21
373000 -- (-575.073) (-577.182) [-517.596] (-573.616) * [-521.528] (-572.494) (-574.663) (-572.991) -- 0:15:19
374000 -- (-571.647) (-581.193) [-515.478] (-577.894) * [-525.748] (-572.934) (-579.657) (-567.581) -- 0:15:18
375000 -- (-571.131) (-579.745) [-523.108] (-582.448) * [-524.303] (-566.891) (-576.022) (-565.888) -- 0:15:16
Average standard deviation of split frequencies: NA (no splits above min. frequency)
376000 -- (-565.230) (-574.391) [-526.795] (-577.869) * [-516.802] (-572.908) (-573.940) (-562.940) -- 0:15:16
377000 -- (-564.474) (-570.153) [-523.407] (-573.022) * [-520.845] (-573.769) (-576.676) (-564.374) -- 0:15:13
378000 -- (-561.830) (-574.879) [-521.643] (-567.910) * [-520.577] (-570.663) (-578.917) (-564.262) -- 0:15:13
379000 -- (-568.313) (-571.466) [-522.175] (-568.212) * [-515.601] (-568.841) (-570.459) (-563.854) -- 0:15:11
380000 -- (-570.446) (-573.736) [-519.588] (-563.750) * [-517.649] (-567.619) (-577.151) (-569.907) -- 0:15:10
Average standard deviation of split frequencies: NA (no splits above min. frequency)
381000 -- (-566.801) (-572.416) [-527.842] (-562.301) * [-519.552] (-572.172) (-570.302) (-567.528) -- 0:15:08
382000 -- (-562.973) (-571.910) [-519.107] (-563.315) * [-520.484] (-573.033) (-573.278) (-577.651) -- 0:15:07
383000 -- (-562.454) (-573.192) [-521.219] (-576.084) * [-523.020] (-567.070) (-567.033) (-565.253) -- 0:15:05
384000 -- (-566.741) (-575.491) [-521.392] (-566.506) * [-519.031] (-565.569) (-568.197) (-568.729) -- 0:15:04
385000 -- (-568.432) (-577.346) [-521.801] (-568.463) * [-519.180] (-568.271) (-567.537) (-571.518) -- 0:15:02
Average standard deviation of split frequencies: NA (no splits above min. frequency)
386000 -- (-562.380) (-582.126) [-522.273] (-565.415) * [-520.889] (-565.437) (-571.803) (-571.977) -- 0:15:01
387000 -- (-566.520) (-560.090) [-517.349] (-563.240) * [-517.240] (-565.084) (-568.499) (-572.468) -- 0:14:59
388000 -- (-570.386) (-561.952) [-529.493] (-559.515) * [-518.551] (-567.105) (-571.992) (-576.598) -- 0:14:59
389000 -- (-565.624) (-559.401) [-531.011] (-557.753) * [-515.864] (-566.908) (-574.699) (-571.875) -- 0:14:56
390000 -- (-575.548) (-557.564) [-523.954] (-562.560) * [-516.965] (-569.275) (-576.063) (-573.726) -- 0:14:56
Average standard deviation of split frequencies: NA (no splits above min. frequency)
391000 -- (-577.008) (-567.636) [-528.716] (-557.475) * [-514.370] (-567.208) (-568.092) (-571.798) -- 0:14:54
392000 -- (-570.329) (-569.852) [-525.511] (-558.018) * [-516.183] (-564.734) (-574.750) (-578.479) -- 0:14:53
393000 -- (-569.886) (-572.797) [-523.323] (-554.341) * [-516.127] (-567.315) (-571.059) (-578.546) -- 0:14:51
394000 -- (-567.404) (-566.422) [-522.799] (-555.467) * [-521.184] (-564.905) (-567.595) (-575.363) -- 0:14:50
395000 -- (-560.108) (-569.986) [-522.486] (-555.399) * [-517.198] (-562.452) (-568.824) (-577.822) -- 0:14:48
Average standard deviation of split frequencies: NA (no splits above min. frequency)
396000 -- (-557.956) (-568.512) [-526.162] (-567.499) * [-516.979] (-564.117) (-564.651) (-579.554) -- 0:14:47
397000 -- (-559.957) (-567.555) [-523.724] (-554.762) * [-514.735] (-568.223) (-574.941) (-585.488) -- 0:14:45
398000 -- (-558.574) (-568.168) [-529.761] (-557.565) * [-522.121] (-565.150) (-571.234) (-580.807) -- 0:14:43
399000 -- (-559.599) (-569.637) [-523.161] (-566.959) * [-510.790] (-564.329) (-582.006) (-578.480) -- 0:14:42
400000 -- (-570.779) (-570.530) [-520.165] (-558.588) * [-511.357] (-567.319) (-568.046) (-580.514) -- 0:14:42
Average standard deviation of split frequencies: NA (no splits above min. frequency)
401000 -- (-563.100) (-567.551) [-519.723] (-562.214) * [-514.626] (-570.482) (-569.180) (-577.047) -- 0:14:39
402000 -- (-578.142) (-564.625) [-521.383] (-563.859) * [-513.349] (-561.485) (-562.539) (-583.998) -- 0:14:39
403000 -- (-562.276) (-558.025) [-523.384] (-568.923) * [-517.767] (-564.425) (-558.924) (-585.378) -- 0:14:36
404000 -- (-560.252) (-569.570) [-522.251] (-565.523) * [-517.753] (-569.166) (-558.630) (-585.774) -- 0:14:36
405000 -- (-559.276) (-568.122) [-520.574] (-563.713) * [-512.546] (-568.543) (-572.435) (-583.661) -- 0:14:34
Average standard deviation of split frequencies: NA (no splits above min. frequency)
406000 -- (-568.199) (-568.919) [-522.762] (-563.699) * [-515.955] (-555.444) (-578.815) (-585.558) -- 0:14:33
407000 -- (-570.072) (-578.738) [-514.806] (-564.363) * [-516.211] (-558.078) (-578.402) (-580.278) -- 0:14:31
408000 -- (-575.885) (-576.274) [-518.046] (-557.768) * [-520.569] (-561.986) (-573.154) (-587.464) -- 0:14:30
409000 -- (-571.398) (-567.168) [-517.598] (-561.734) * [-520.858] (-566.291) (-576.276) (-579.811) -- 0:14:28
410000 -- (-571.094) (-571.404) [-521.443] (-569.348) * [-515.268] (-566.136) (-580.572) (-578.558) -- 0:14:27
Average standard deviation of split frequencies: NA (no splits above min. frequency)
411000 -- (-561.712) (-565.578) [-518.524] (-559.633) * [-510.357] (-562.871) (-579.624) (-579.966) -- 0:14:25
412000 -- (-562.119) (-570.079) [-512.831] (-555.060) * [-520.987] (-561.692) (-573.659) (-574.903) -- 0:14:24
413000 -- (-565.810) (-569.458) [-513.485] (-558.002) * [-513.295] (-563.912) (-576.460) (-578.495) -- 0:14:22
414000 -- (-565.976) (-568.030) [-511.282] (-557.351) * [-522.253] (-575.758) (-577.764) (-577.784) -- 0:14:22
415000 -- (-560.972) (-579.922) [-517.502] (-557.350) * [-520.865] (-569.857) (-582.269) (-583.572) -- 0:14:19
Average standard deviation of split frequencies: NA (no splits above min. frequency)
416000 -- (-561.051) (-573.140) [-512.155] (-566.386) * [-521.407] (-568.199) (-574.037) (-567.344) -- 0:14:19
417000 -- (-565.543) (-572.034) [-522.043] (-561.524) * [-522.876] (-562.440) (-572.006) (-566.442) -- 0:14:18
418000 -- (-573.078) (-568.708) [-521.042] (-562.028) * [-520.265] (-568.392) (-582.219) (-569.579) -- 0:14:16
419000 -- (-562.044) (-564.739) [-524.305] (-557.387) * [-520.358] (-572.637) (-581.525) (-574.593) -- 0:14:15
420000 -- (-566.589) (-567.828) [-520.003] (-558.878) * [-520.238] (-564.187) (-581.720) (-573.062) -- 0:14:13
Average standard deviation of split frequencies: NA (no splits above min. frequency)
421000 -- (-556.348) (-568.009) [-519.943] (-561.945) * [-515.347] (-567.022) (-582.189) (-576.366) -- 0:14:12
422000 -- (-553.030) (-567.485) [-522.719] (-557.914) * [-511.287] (-571.513) (-579.885) (-572.366) -- 0:14:10
423000 -- (-568.717) (-566.913) [-519.738] (-559.639) * [-518.908] (-568.034) (-580.284) (-575.516) -- 0:14:09
424000 -- (-566.434) (-570.427) [-515.629] (-553.611) * [-516.764] (-565.344) (-575.078) (-572.904) -- 0:14:07
425000 -- (-568.193) (-575.217) [-519.231] (-554.907) * [-516.742] (-559.981) (-575.926) (-569.249) -- 0:14:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
426000 -- (-563.851) (-571.144) [-514.941] (-557.936) * [-515.363] (-566.946) (-573.389) (-574.048) -- 0:14:06
427000 -- (-558.442) (-576.126) [-515.389] (-557.923) * [-512.151] (-565.359) (-572.098) (-571.257) -- 0:14:04
428000 -- (-567.953) (-571.416) [-514.566] (-555.332) * [-512.734] (-567.925) (-581.209) (-573.101) -- 0:14:01
429000 -- (-564.495) (-569.873) [-520.746] (-560.117) * [-516.976] (-551.042) (-583.256) (-577.903) -- 0:14:01
430000 -- (-567.923) (-574.647) [-516.287] (-559.000) * [-513.743] (-562.847) (-577.388) (-574.187) -- 0:13:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
431000 -- (-564.681) (-570.073) [-520.914] (-559.867) * [-512.225] (-559.250) (-579.492) (-581.060) -- 0:13:58
432000 -- (-572.844) (-568.830) [-521.204] (-560.833) * [-512.902] (-561.419) (-584.305) (-573.159) -- 0:13:56
433000 -- (-568.458) (-578.484) [-521.402] (-567.275) * [-512.849] (-563.042) (-581.128) (-567.962) -- 0:13:55
434000 -- (-569.505) (-574.170) [-518.688] (-570.893) * [-518.364] (-562.821) (-590.551) (-569.850) -- 0:13:53
435000 -- (-571.109) (-570.827) [-515.499] (-571.981) * [-518.248] (-561.569) (-574.767) (-567.819) -- 0:13:52
Average standard deviation of split frequencies: NA (no splits above min. frequency)
436000 -- (-570.735) (-584.386) [-516.435] (-565.767) * [-528.270] (-566.564) (-566.930) (-570.175) -- 0:13:50
437000 -- (-568.729) (-581.306) [-513.938] (-558.184) * [-528.787] (-571.123) (-566.678) (-566.354) -- 0:13:49
438000 -- (-571.357) (-580.046) [-510.355] (-559.813) * [-522.852] (-567.402) (-576.526) (-565.262) -- 0:13:47
439000 -- (-579.649) (-581.097) [-508.182] (-559.801) * [-521.432] (-570.324) (-573.049) (-565.027) -- 0:13:45
440000 -- (-580.713) (-578.409) [-509.850] (-557.259) * [-520.216] (-562.800) (-588.292) (-568.686) -- 0:13:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
441000 -- (-573.092) (-576.751) [-514.671] (-563.649) * [-518.470] (-568.247) (-588.427) (-566.858) -- 0:13:42
442000 -- (-575.932) (-581.558) [-514.090] (-558.805) * [-517.172] (-560.665) (-569.592) (-561.945) -- 0:13:41
443000 -- (-569.559) (-582.826) [-514.447] (-561.089) * [-514.549] (-560.693) (-562.850) (-568.962) -- 0:13:39
444000 -- (-565.095) (-590.001) [-513.505] (-570.586) * [-515.679] (-561.868) (-564.086) (-571.866) -- 0:13:38
445000 -- (-563.922) (-576.632) [-520.646] (-567.395) * [-517.313] (-560.702) (-566.822) (-570.372) -- 0:13:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
446000 -- (-567.642) (-579.962) [-518.680] (-565.435) * [-520.490] (-561.421) (-572.092) (-567.303) -- 0:13:36
447000 -- (-560.933) (-584.508) [-516.702] (-562.725) * [-512.566] (-561.213) (-571.188) (-570.983) -- 0:13:34
448000 -- (-561.893) (-582.320) [-519.287] (-562.396) * [-516.851] (-558.453) (-566.541) (-568.402) -- 0:13:33
449000 -- (-557.746) (-580.921) [-522.796] (-564.986) * [-511.863] (-563.603) (-572.948) (-572.334) -- 0:13:31
450000 -- (-555.526) (-580.957) [-523.680] (-560.473) * [-509.240] (-566.249) (-571.928) (-573.635) -- 0:13:30
Average standard deviation of split frequencies: NA (no splits above min. frequency)
451000 -- (-566.693) (-580.078) [-521.914] (-566.048) * [-516.504] (-555.693) (-574.029) (-572.275) -- 0:13:28
452000 -- (-565.898) (-573.297) [-522.019] (-560.789) * [-515.639] (-559.986) (-573.609) (-574.026) -- 0:13:27
453000 -- (-572.811) (-567.930) [-517.980] (-560.178) * [-516.069] (-557.887) (-580.801) (-570.444) -- 0:13:25
454000 -- (-560.058) (-567.254) [-516.545] (-559.430) * [-514.323] (-571.620) (-575.454) (-568.137) -- 0:13:24
455000 -- (-562.848) (-567.868) [-516.175] (-561.471) * [-513.147] (-571.388) (-570.976) (-573.673) -- 0:13:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
456000 -- (-560.016) (-568.753) [-517.714] (-560.484) * [-512.092] (-564.305) (-571.734) (-568.942) -- 0:13:21
457000 -- (-560.744) (-566.721) [-515.325] (-556.157) * [-507.781] (-570.034) (-575.696) (-570.442) -- 0:13:19
458000 -- (-558.336) (-564.722) [-518.606] (-556.136) * [-527.873] (-568.081) (-575.148) (-570.806) -- 0:13:18
459000 -- (-564.112) (-566.916) [-517.961] (-558.852) * [-525.790] (-564.842) (-566.909) (-572.672) -- 0:13:16
460000 -- (-560.204) (-574.163) [-520.839] (-560.930) * [-524.224] (-562.702) (-574.988) (-581.259) -- 0:13:15
Average standard deviation of split frequencies: NA (no splits above min. frequency)
461000 -- (-558.281) (-572.331) [-520.514] (-556.189) * [-512.635] (-574.426) (-574.164) (-575.153) -- 0:13:13
462000 -- (-563.682) (-574.854) [-525.219] (-559.136) * [-515.101] (-576.205) (-565.648) (-577.109) -- 0:13:13
463000 -- (-564.059) (-574.074) [-521.953] (-558.389) * [-516.808] (-572.581) (-570.110) (-569.550) -- 0:13:12
464000 -- (-562.493) (-568.846) [-513.526] (-556.394) * [-517.096] (-567.106) (-569.674) (-578.778) -- 0:13:10
465000 -- (-564.704) (-562.386) [-521.635] (-557.988) * [-522.093] (-571.373) (-574.121) (-581.284) -- 0:13:08
Average standard deviation of split frequencies: NA (no splits above min. frequency)
466000 -- (-567.369) (-563.102) [-521.817] (-560.621) * [-523.741] (-571.108) (-571.778) (-575.198) -- 0:13:07
467000 -- (-567.881) (-560.276) [-523.653] (-558.054) * [-524.335] (-568.645) (-578.327) (-577.975) -- 0:13:05
468000 -- (-570.246) (-560.537) [-523.109] (-563.319) * [-523.360] (-582.035) (-573.408) (-583.409) -- 0:13:04
469000 -- (-567.410) (-562.380) [-519.645] (-561.430) * [-519.451] (-577.315) (-571.717) (-583.450) -- 0:13:03
470000 -- (-571.397) (-567.336) [-522.753] (-563.520) * [-528.596] (-574.505) (-570.210) (-581.585) -- 0:13:01
Average standard deviation of split frequencies: NA (no splits above min. frequency)
471000 -- (-558.875) (-565.240) [-519.534] (-566.907) * [-525.623] (-560.321) (-577.585) (-569.068) -- 0:13:00
472000 -- (-560.627) (-558.604) [-523.969] (-567.256) * [-524.259] (-562.199) (-577.545) (-561.204) -- 0:12:58
473000 -- (-563.478) (-559.856) [-522.170] (-562.632) * [-523.321] (-560.218) (-582.920) (-566.183) -- 0:12:57
474000 -- (-565.289) (-564.077) [-524.141] (-557.194) * [-526.268] (-564.941) (-580.388) (-559.128) -- 0:12:55
475000 -- (-569.127) (-568.581) [-526.867] (-554.134) * [-510.889] (-566.472) (-576.158) (-560.822) -- 0:12:54
Average standard deviation of split frequencies: NA (no splits above min. frequency)
476000 -- (-579.585) (-559.931) [-520.029] (-557.798) * [-513.838] (-570.326) (-575.185) (-564.183) -- 0:12:52
477000 -- (-571.640) (-560.740) [-520.949] (-564.287) * [-515.812] (-572.639) (-575.320) (-563.751) -- 0:12:51
478000 -- (-574.189) (-560.766) [-519.770] (-569.564) * [-517.940] (-572.208) (-568.554) (-565.257) -- 0:12:49
479000 -- (-572.432) (-558.412) [-519.546] (-560.367) * [-508.869] (-572.953) (-573.140) (-559.978) -- 0:12:48
480000 -- (-568.908) (-562.575) [-525.849] (-567.699) * [-516.259] (-560.734) (-571.717) (-561.144) -- 0:12:48
Average standard deviation of split frequencies: NA (no splits above min. frequency)
481000 -- (-573.475) (-557.600) [-526.862] (-565.389) * [-518.050] (-562.076) (-570.511) (-577.451) -- 0:12:46
482000 -- (-567.558) (-555.622) [-522.792] (-567.046) * [-518.773] (-565.030) (-568.399) (-575.628) -- 0:12:45
483000 -- (-569.326) (-563.426) [-514.744] (-565.543) * [-512.447] (-565.680) (-571.378) (-576.534) -- 0:12:43
484000 -- (-567.613) (-564.454) [-516.104] (-576.337) * [-513.924] (-562.445) (-571.761) (-570.503) -- 0:12:41
485000 -- (-566.880) (-566.335) [-521.445] (-570.288) * [-519.561] (-567.988) (-567.504) (-574.242) -- 0:12:40
Average standard deviation of split frequencies: NA (no splits above min. frequency)
486000 -- (-558.803) (-582.339) [-524.380] (-560.489) * [-519.974] (-562.466) (-572.754) (-578.652) -- 0:12:38
487000 -- (-561.208) (-581.051) [-525.500] (-561.475) * [-519.818] (-559.710) (-568.037) (-573.968) -- 0:12:37
488000 -- (-564.078) (-579.010) [-530.654] (-560.389) * [-513.403] (-557.669) (-569.098) (-575.098) -- 0:12:35
489000 -- (-561.865) (-578.762) [-533.193] (-563.299) * [-517.486] (-561.605) (-570.244) (-574.978) -- 0:12:34
490000 -- (-556.548) (-571.013) [-529.360] (-564.351) * [-512.566] (-565.673) (-568.240) (-573.013) -- 0:12:32
Average standard deviation of split frequencies: NA (no splits above min. frequency)
491000 -- (-559.077) (-582.502) [-526.241] (-566.998) * [-511.669] (-559.891) (-571.935) (-564.353) -- 0:12:31
492000 -- (-568.819) (-580.243) [-526.902] (-572.656) * [-515.856] (-557.030) (-568.761) (-571.651) -- 0:12:29
493000 -- (-569.387) (-574.402) [-527.898] (-571.776) * [-512.665] (-561.774) (-568.947) (-569.974) -- 0:12:28
494000 -- (-570.541) (-570.006) [-534.998] (-565.832) * [-511.990] (-565.028) (-570.363) (-577.874) -- 0:12:26
495000 -- (-570.896) (-572.726) [-534.424] (-564.517) * [-513.369] (-560.352) (-572.123) (-573.990) -- 0:12:25
Average standard deviation of split frequencies: NA (no splits above min. frequency)
496000 -- (-571.242) (-563.133) [-528.990] (-563.535) * [-524.946] (-559.613) (-576.251) (-577.911) -- 0:12:23
497000 -- (-567.713) (-561.770) [-525.724] (-557.067) * [-511.716] (-567.496) (-576.953) (-565.845) -- 0:12:22
498000 -- (-564.059) (-557.846) [-526.786] (-559.062) * [-512.757] (-571.942) (-571.309) (-571.247) -- 0:12:20
499000 -- (-559.852) (-558.563) [-522.408] (-559.934) * [-514.085] (-570.438) (-579.980) (-576.767) -- 0:12:19
500000 -- (-560.044) (-558.006) [-525.990] (-557.563) * [-513.364] (-566.979) (-581.465) (-573.844) -- 0:12:18
Average standard deviation of split frequencies: NA (no splits above min. frequency)
501000 -- (-568.488) (-563.068) [-515.789] (-558.781) * [-514.885] (-566.781) (-578.895) (-572.555) -- 0:12:17
502000 -- (-573.882) (-557.647) [-517.253] (-562.896) * [-515.565] (-565.537) (-579.431) (-575.600) -- 0:12:15
503000 -- (-569.526) (-559.299) [-517.867] (-560.300) * [-512.572] (-570.075) (-577.650) (-583.172) -- 0:12:14
504000 -- (-568.986) (-569.817) [-520.375] (-561.302) * [-514.698] (-566.004) (-577.242) (-587.771) -- 0:12:13
505000 -- (-569.873) (-566.617) [-512.635] (-559.145) * [-516.766] (-567.238) (-576.694) (-572.054) -- 0:12:11
Average standard deviation of split frequencies: NA (no splits above min. frequency)
506000 -- (-571.520) (-572.367) [-512.407] (-560.686) * [-519.310] (-574.632) (-580.082) (-568.125) -- 0:12:10
507000 -- (-561.471) (-569.740) [-510.612] (-564.207) * [-524.025] (-576.707) (-586.512) (-568.443) -- 0:12:08
508000 -- (-560.239) (-571.137) [-509.449] (-562.648) * [-526.341] (-576.530) (-591.058) (-566.016) -- 0:12:07
509000 -- (-568.046) (-566.708) [-513.049] (-558.658) * [-518.669] (-555.271) (-583.438) (-564.746) -- 0:12:05
510000 -- (-569.035) (-564.393) [-514.800] (-558.281) * [-516.291] (-558.820) (-583.085) (-572.976) -- 0:12:04
Average standard deviation of split frequencies: NA (no splits above min. frequency)
511000 -- (-567.756) (-568.813) [-524.046] (-561.582) * [-522.068] (-559.409) (-583.512) (-572.459) -- 0:12:02
512000 -- (-571.666) (-577.697) [-518.291] (-564.871) * [-520.644] (-554.534) (-582.073) (-567.325) -- 0:12:01
513000 -- (-564.779) (-572.853) [-510.801] (-578.450) * [-520.847] (-559.716) (-581.913) (-567.274) -- 0:11:59
514000 -- (-554.321) (-565.006) [-516.529] (-573.879) * [-518.357] (-555.108) (-581.625) (-581.664) -- 0:11:58
515000 -- (-559.828) (-568.680) [-520.194] (-572.931) * [-521.650] (-550.372) (-582.708) (-578.205) -- 0:11:57
Average standard deviation of split frequencies: NA (no splits above min. frequency)
516000 -- (-564.803) (-568.035) [-521.449] (-571.094) * [-520.460] (-566.004) (-584.040) (-580.140) -- 0:11:55
517000 -- (-560.497) (-564.308) [-517.817] (-567.062) * [-514.831] (-573.196) (-594.981) (-572.768) -- 0:11:54
518000 -- (-575.223) (-564.561) [-515.348] (-565.724) * [-511.923] (-568.360) (-594.489) (-574.795) -- 0:11:52
519000 -- (-564.903) (-560.928) [-514.237] (-562.892) * [-513.676] (-564.988) (-586.413) (-568.709) -- 0:11:51
520000 -- (-564.456) (-563.137) [-518.066] (-559.182) * [-509.894] (-564.160) (-588.700) (-569.051) -- 0:11:49
Average standard deviation of split frequencies: NA (no splits above min. frequency)
521000 -- (-565.503) (-560.654) [-526.716] (-566.309) * [-509.414] (-566.914) (-568.726) (-572.758) -- 0:11:48
522000 -- (-571.653) (-558.820) [-531.868] (-555.109) * [-515.321] (-564.256) (-571.893) (-576.120) -- 0:11:46
523000 -- (-575.403) (-563.061) [-510.098] (-556.196) * [-511.634] (-570.712) (-569.285) (-572.984) -- 0:11:45
524000 -- (-563.443) (-555.181) [-511.762] (-554.488) * [-512.016] (-573.530) (-570.323) (-580.076) -- 0:11:44
525000 -- (-566.178) (-554.544) [-513.486] (-556.782) * [-513.263] (-569.667) (-567.889) (-574.539) -- 0:11:43
Average standard deviation of split frequencies: NA (no splits above min. frequency)
526000 -- (-566.260) (-554.840) [-516.194] (-554.023) * [-514.971] (-573.782) (-565.934) (-579.624) -- 0:11:41
527000 -- (-578.069) (-558.877) [-518.497] (-557.664) * [-510.021] (-566.095) (-563.233) (-583.181) -- 0:11:40
528000 -- (-572.815) (-564.029) [-521.050] (-555.081) * [-509.986] (-564.449) (-564.556) (-577.610) -- 0:11:38
529000 -- (-566.947) (-570.190) [-516.203] (-564.765) * [-510.124] (-557.852) (-567.865) (-577.471) -- 0:11:37
530000 -- (-571.144) (-558.593) [-517.957] (-562.580) * [-512.358] (-569.966) (-568.554) (-573.569) -- 0:11:35
Average standard deviation of split frequencies: NA (no splits above min. frequency)
531000 -- (-570.845) (-553.298) [-517.966] (-567.860) * [-523.041] (-560.485) (-576.081) (-572.353) -- 0:11:34
532000 -- (-574.102) (-556.539) [-517.478] (-568.426) * [-521.718] (-562.500) (-570.570) (-586.219) -- 0:11:32
533000 -- (-578.619) (-562.782) [-517.836] (-564.168) * [-523.649] (-558.160) (-570.824) (-596.428) -- 0:11:30
534000 -- (-580.949) (-565.038) [-519.134] (-557.603) * [-518.142] (-565.345) (-574.171) (-592.028) -- 0:11:29
535000 -- (-584.620) (-563.071) [-520.863] (-555.616) * [-520.307] (-565.287) (-574.367) (-584.388) -- 0:11:27
Average standard deviation of split frequencies: NA (no splits above min. frequency)
536000 -- (-575.857) (-563.858) [-518.872] (-557.270) * [-519.776] (-557.938) (-568.409) (-582.155) -- 0:11:26
537000 -- (-583.982) (-558.719) [-516.197] (-559.182) * [-520.557] (-551.945) (-576.432) (-581.600) -- 0:11:24
538000 -- (-579.268) (-558.748) [-514.848] (-555.868) * [-515.025] (-556.414) (-580.367) (-583.505) -- 0:11:22
539000 -- (-573.453) (-556.844) [-515.145] (-554.190) * [-517.993] (-558.591) (-574.261) (-579.699) -- 0:11:21
540000 -- (-565.510) (-557.307) [-518.667] (-553.003) * [-516.915] (-558.398) (-574.113) (-582.571) -- 0:11:19
Average standard deviation of split frequencies: NA (no splits above min. frequency)
541000 -- (-563.337) (-564.182) [-520.058] (-561.114) * [-515.815] (-560.629) (-578.466) (-584.382) -- 0:11:18
542000 -- (-569.082) (-566.909) [-523.754] (-560.152) * [-514.829] (-560.409) (-572.687) (-570.606) -- 0:11:16
543000 -- (-563.995) (-566.907) [-521.045] (-558.900) * [-508.149] (-562.039) (-574.242) (-567.588) -- 0:11:15
544000 -- (-556.994) (-577.276) [-518.941] (-558.864) * [-510.944] (-560.706) (-576.776) (-566.779) -- 0:11:14
545000 -- (-560.302) (-574.330) [-516.682] (-556.778) * [-511.265] (-556.911) (-574.625) (-576.668) -- 0:11:12
Average standard deviation of split frequencies: NA (no splits above min. frequency)
546000 -- (-566.223) (-569.724) [-510.635] (-557.578) * [-503.074] (-558.655) (-581.200) (-576.370) -- 0:11:11
547000 -- (-565.074) (-577.802) [-510.119] (-557.732) * [-510.727] (-558.741) (-575.276) (-583.497) -- 0:11:09
548000 -- (-562.105) (-575.790) [-514.339] (-560.359) * [-512.686] (-566.312) (-579.910) (-575.074) -- 0:11:08
549000 -- (-567.252) (-571.597) [-510.159] (-559.438) * [-515.939] (-561.943) (-579.688) (-575.316) -- 0:11:07
550000 -- (-556.015) (-572.620) [-511.364] (-556.727) * [-518.664] (-556.785) (-581.048) (-576.809) -- 0:11:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
551000 -- (-553.142) (-577.121) [-513.239] (-562.621) * [-519.460] (-567.332) (-578.198) (-574.832) -- 0:11:04
552000 -- (-568.408) (-574.092) [-508.963] (-565.642) * [-517.286] (-565.405) (-575.212) (-578.031) -- 0:11:03
553000 -- (-566.871) (-568.451) [-515.703] (-566.437) * [-518.907] (-566.339) (-576.925) (-576.916) -- 0:11:01
554000 -- (-564.093) (-576.422) [-514.465] (-557.001) * [-512.495] (-562.349) (-572.113) (-576.201) -- 0:11:00
555000 -- (-563.869) (-573.496) [-511.881] (-560.840) * [-512.011] (-565.632) (-570.051) (-576.131) -- 0:10:58
Average standard deviation of split frequencies: NA (no splits above min. frequency)
556000 -- (-564.013) (-579.827) [-514.741] (-561.868) * [-515.809] (-559.386) (-569.057) (-567.944) -- 0:10:57
557000 -- (-565.908) (-571.779) [-513.452] (-565.156) * [-518.151] (-565.986) (-571.939) (-567.086) -- 0:10:55
558000 -- (-565.416) (-562.212) [-513.530] (-563.909) * [-521.004] (-564.886) (-571.179) (-570.222) -- 0:10:54
559000 -- (-569.712) (-568.282) [-513.461] (-565.168) * [-519.934] (-563.679) (-573.329) (-575.242) -- 0:10:52
560000 -- (-569.912) (-566.840) [-512.728] (-561.826) * [-519.598] (-566.701) (-575.237) (-569.762) -- 0:10:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
561000 -- (-572.467) (-569.656) [-513.644] (-560.572) * [-523.536] (-560.379) (-580.943) (-569.212) -- 0:10:50
562000 -- (-571.387) (-568.866) [-513.765] (-565.313) * [-519.756] (-563.458) (-583.529) (-572.094) -- 0:10:48
563000 -- (-573.070) (-566.337) [-518.092] (-562.511) * [-518.437] (-563.206) (-572.949) (-565.050) -- 0:10:47
564000 -- (-572.709) (-569.514) [-515.884] (-567.751) * [-516.188] (-554.030) (-570.842) (-571.137) -- 0:10:45
565000 -- (-573.755) (-575.684) [-515.110] (-566.208) * [-513.599] (-559.829) (-572.947) (-576.547) -- 0:10:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
566000 -- (-574.319) (-578.335) [-514.600] (-558.149) * [-518.049] (-560.539) (-573.340) (-577.133) -- 0:10:42
567000 -- (-569.770) (-576.285) [-514.543] (-560.827) * [-520.564] (-561.150) (-574.088) (-577.946) -- 0:10:41
568000 -- (-572.107) (-576.740) [-516.586] (-560.623) * [-523.011] (-560.797) (-577.454) (-573.199) -- 0:10:39
569000 -- (-566.834) (-575.262) [-515.474] (-559.912) * [-521.274] (-564.493) (-581.996) (-571.689) -- 0:10:38
570000 -- (-567.973) (-572.779) [-513.459] (-562.188) * [-523.882] (-571.123) (-577.245) (-567.500) -- 0:10:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
571000 -- (-574.528) (-559.898) [-509.830] (-558.168) * [-525.278] (-563.674) (-579.052) (-584.984) -- 0:10:35
572000 -- (-568.407) (-568.017) [-512.399] (-555.884) * [-531.502] (-569.191) (-569.403) (-574.099) -- 0:10:33
573000 -- (-567.638) (-564.790) [-514.672] (-556.675) * [-522.891] (-563.952) (-566.899) (-578.085) -- 0:10:32
574000 -- (-568.762) (-564.682) [-513.854] (-556.895) * [-531.056] (-559.509) (-569.810) (-577.017) -- 0:10:30
575000 -- (-570.466) (-563.122) [-513.734] (-558.091) * [-525.753] (-559.639) (-574.018) (-571.743) -- 0:10:29
Average standard deviation of split frequencies: NA (no splits above min. frequency)
576000 -- (-564.965) (-567.760) [-514.556] (-556.305) * [-524.606] (-563.319) (-563.308) (-572.918) -- 0:10:27
577000 -- (-564.826) (-566.005) [-520.411] (-558.012) * [-515.444] (-560.521) (-575.380) (-577.047) -- 0:10:26
578000 -- (-559.119) (-574.453) [-524.144] (-562.726) * [-515.562] (-555.657) (-576.059) (-584.202) -- 0:10:24
579000 -- (-562.338) (-568.977) [-521.970] (-566.322) * [-522.505] (-557.409) (-581.993) (-585.162) -- 0:10:23
580000 -- (-564.401) (-572.468) [-517.673] (-554.851) * [-525.032] (-559.884) (-567.539) (-574.464) -- 0:10:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
581000 -- (-567.222) (-575.706) [-519.086] (-556.806) * [-517.978] (-561.634) (-577.645) (-575.643) -- 0:10:20
582000 -- (-564.352) (-578.816) [-515.554] (-556.577) * [-519.784] (-562.361) (-571.543) (-574.754) -- 0:10:19
583000 -- (-567.057) (-571.737) [-519.389] (-557.261) * [-517.786] (-560.623) (-572.431) (-577.996) -- 0:10:17
584000 -- (-573.734) (-581.425) [-518.984] (-555.989) * [-515.239] (-561.801) (-569.109) (-564.942) -- 0:10:15
585000 -- (-566.046) (-577.010) [-516.383] (-553.975) * [-512.894] (-558.394) (-570.961) (-564.216) -- 0:10:14
Average standard deviation of split frequencies: NA (no splits above min. frequency)
586000 -- (-567.862) (-569.442) [-518.093] (-553.972) * [-519.531] (-557.702) (-570.181) (-564.145) -- 0:10:12
587000 -- (-569.052) (-578.787) [-521.325] (-558.407) * [-513.516] (-572.201) (-567.558) (-562.373) -- 0:10:11
588000 -- (-566.836) (-577.525) [-521.645] (-560.025) * [-520.630] (-566.611) (-565.658) (-566.015) -- 0:10:09
589000 -- (-574.684) (-557.574) [-519.366] (-556.536) * [-517.215] (-567.776) (-566.491) (-576.857) -- 0:10:08
590000 -- (-573.246) (-557.086) [-515.747] (-561.799) * [-520.390] (-566.817) (-571.244) (-572.412) -- 0:10:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
591000 -- (-575.486) (-558.932) [-519.791] (-559.098) * [-520.004] (-564.933) (-567.947) (-575.312) -- 0:10:05
592000 -- (-576.692) (-562.413) [-521.262] (-559.271) * [-516.738] (-564.292) (-569.762) (-580.022) -- 0:10:03
593000 -- (-575.018) (-559.871) [-519.215] (-561.506) * [-517.352] (-567.179) (-571.455) (-576.352) -- 0:10:02
594000 -- (-574.017) (-564.677) [-518.001] (-554.943) * [-520.219] (-568.253) (-579.295) (-576.318) -- 0:10:00
595000 -- (-582.545) (-557.676) [-525.855] (-557.697) * [-516.233] (-567.544) (-577.335) (-574.866) -- 0:09:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
596000 -- (-585.015) (-558.710) [-525.025] (-554.694) * [-517.455] (-566.006) (-576.128) (-582.638) -- 0:09:57
597000 -- (-572.680) (-557.802) [-520.592] (-558.973) * [-520.785] (-569.550) (-567.314) (-575.821) -- 0:09:56
598000 -- (-571.861) (-554.821) [-519.131] (-563.907) * [-516.937] (-568.588) (-563.776) (-578.191) -- 0:09:54
599000 -- (-574.314) (-557.815) [-515.446] (-563.148) * [-523.989] (-568.184) (-568.576) (-576.277) -- 0:09:53
600000 -- (-571.245) (-556.364) [-513.325] (-558.859) * [-519.120] (-559.000) (-567.901) (-581.124) -- 0:09:52
Average standard deviation of split frequencies: NA (no splits above min. frequency)
601000 -- (-574.055) (-555.452) [-514.940] (-558.642) * [-514.284] (-561.915) (-571.583) (-579.178) -- 0:09:50
602000 -- (-574.736) (-577.278) [-514.796] (-560.214) * [-514.517] (-558.400) (-575.675) (-575.365) -- 0:09:49
603000 -- (-570.789) (-578.427) [-512.135] (-560.155) * [-520.161] (-560.822) (-577.465) (-575.828) -- 0:09:47
604000 -- (-567.664) (-572.018) [-513.880] (-560.489) * [-523.661] (-558.718) (-573.859) (-575.779) -- 0:09:46
605000 -- (-567.491) (-577.518) [-523.530] (-555.740) * [-520.079] (-558.134) (-575.044) (-574.011) -- 0:09:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
606000 -- (-567.664) (-573.903) [-515.488] (-558.229) * [-517.541] (-565.478) (-570.291) (-576.249) -- 0:09:43
607000 -- (-563.328) (-565.019) [-511.342] (-560.881) * [-512.710] (-563.284) (-567.754) (-569.272) -- 0:09:42
608000 -- (-571.308) (-570.126) [-509.959] (-555.213) * [-512.230] (-569.531) (-570.969) (-568.244) -- 0:09:40
609000 -- (-573.693) (-564.391) [-510.811] (-554.145) * [-514.898] (-577.618) (-569.524) (-571.460) -- 0:09:39
610000 -- (-577.822) (-564.752) [-510.661] (-555.624) * [-518.145] (-571.816) (-563.498) (-572.387) -- 0:09:37
Average standard deviation of split frequencies: NA (no splits above min. frequency)
611000 -- (-571.023) (-561.936) [-523.206] (-559.130) * [-525.949] (-571.383) (-564.995) (-569.080) -- 0:09:36
612000 -- (-573.052) (-566.495) [-525.230] (-568.062) * [-526.594] (-568.195) (-568.092) (-572.482) -- 0:09:35
613000 -- (-572.782) (-572.667) [-525.417] (-565.793) * [-524.301] (-567.917) (-565.794) (-569.444) -- 0:09:33
614000 -- (-566.257) (-567.542) [-530.629] (-565.059) * [-522.418] (-560.040) (-569.540) (-570.061) -- 0:09:32
615000 -- (-569.145) (-567.136) [-520.756] (-565.687) * [-519.489] (-562.194) (-560.525) (-565.574) -- 0:09:30
Average standard deviation of split frequencies: NA (no splits above min. frequency)
616000 -- (-568.875) (-576.023) [-521.000] (-567.627) * [-521.290] (-565.276) (-569.318) (-561.569) -- 0:09:29
617000 -- (-573.297) (-580.854) [-518.364] (-559.211) * [-514.202] (-576.988) (-563.699) (-563.227) -- 0:09:27
618000 -- (-569.945) (-565.013) [-523.972] (-558.700) * [-512.839] (-579.129) (-562.574) (-578.131) -- 0:09:26
619000 -- (-573.028) (-561.838) [-518.930] (-556.463) * [-510.936] (-574.509) (-566.852) (-587.930) -- 0:09:24
620000 -- (-565.097) (-560.093) [-514.660] (-554.973) * [-513.204] (-565.294) (-572.433) (-588.926) -- 0:09:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
621000 -- (-566.959) (-566.799) [-515.233] (-553.448) * [-515.195] (-559.045) (-569.616) (-581.649) -- 0:09:21
622000 -- (-564.276) (-569.483) [-516.844] (-553.864) * [-514.313] (-557.266) (-569.028) (-578.268) -- 0:09:19
623000 -- (-560.346) (-563.215) [-520.447] (-555.985) * [-512.925] (-553.641) (-574.464) (-572.983) -- 0:09:18
624000 -- (-563.850) (-567.026) [-512.929] (-554.286) * [-513.388] (-551.990) (-577.028) (-569.156) -- 0:09:16
625000 -- (-563.253) (-565.265) [-516.152] (-553.344) * [-514.747] (-553.011) (-570.125) (-566.755) -- 0:09:15
Average standard deviation of split frequencies: NA (no splits above min. frequency)
626000 -- (-563.407) (-568.327) [-511.072] (-555.461) * [-514.572] (-551.411) (-570.469) (-568.324) -- 0:09:13
627000 -- (-564.698) (-568.564) [-515.835] (-556.668) * [-514.004] (-550.394) (-566.250) (-578.717) -- 0:09:12
628000 -- (-563.353) (-564.947) [-516.665] (-557.457) * [-518.820] (-568.549) (-573.411) (-574.253) -- 0:09:10
629000 -- (-562.531) (-561.730) [-516.130] (-569.129) * [-511.833] (-567.322) (-574.474) (-573.769) -- 0:09:09
630000 -- (-561.937) (-565.006) [-514.440] (-571.733) * [-513.046] (-565.649) (-575.550) (-573.802) -- 0:09:07
Average standard deviation of split frequencies: NA (no splits above min. frequency)
631000 -- (-573.672) (-562.621) [-515.107] (-573.795) * [-513.756] (-567.856) (-575.763) (-578.027) -- 0:09:06
632000 -- (-569.468) (-563.688) [-516.647] (-567.653) * [-514.036] (-575.876) (-576.264) (-582.796) -- 0:09:05
633000 -- (-566.950) (-559.901) [-512.578] (-567.717) * [-512.006] (-566.866) (-575.930) (-582.993) -- 0:09:03
634000 -- (-565.973) (-561.615) [-513.794] (-567.444) * [-510.888] (-566.753) (-570.000) (-578.400) -- 0:09:02
635000 -- (-562.295) (-560.278) [-514.024] (-565.689) * [-511.862] (-568.988) (-567.954) (-576.386) -- 0:09:00
Average standard deviation of split frequencies: NA (no splits above min. frequency)
636000 -- (-560.512) (-562.247) [-514.319] (-566.292) * [-514.590] (-567.601) (-569.692) (-575.453) -- 0:08:59
637000 -- (-558.492) (-560.500) [-514.952] (-566.678) * [-520.547] (-564.699) (-576.539) (-573.805) -- 0:08:57
638000 -- (-563.546) (-565.718) [-516.871] (-566.287) * [-515.032] (-558.814) (-577.422) (-575.566) -- 0:08:56
639000 -- (-568.066) (-565.538) [-525.251] (-567.193) * [-516.415] (-562.475) (-563.863) (-585.190) -- 0:08:54
640000 -- (-562.656) (-558.484) [-528.911] (-567.751) * [-517.447] (-559.052) (-571.715) (-580.797) -- 0:08:53
Average standard deviation of split frequencies: NA (no splits above min. frequency)
641000 -- (-566.312) (-562.846) [-523.953] (-571.666) * [-513.077] (-558.844) (-573.994) (-581.314) -- 0:08:51
642000 -- (-558.220) (-557.419) [-528.418] (-583.646) * [-520.611] (-565.267) (-566.113) (-576.171) -- 0:08:50
643000 -- (-559.578) (-554.896) [-529.355] (-580.284) * [-517.813] (-562.281) (-561.222) (-583.730) -- 0:08:48
644000 -- (-559.936) (-568.178) [-524.699] (-575.520) * [-515.062] (-570.538) (-567.724) (-580.477) -- 0:08:47
645000 -- (-556.910) (-569.789) [-523.945] (-575.911) * [-523.890] (-568.269) (-574.275) (-575.824) -- 0:08:45
Average standard deviation of split frequencies: NA (no splits above min. frequency)
646000 -- (-554.625) (-567.362) [-528.645] (-569.396) * [-519.670] (-572.911) (-569.262) (-568.529) -- 0:08:44
647000 -- (-557.605) (-560.282) [-527.266] (-565.808) * [-513.460] (-576.085) (-569.395) (-575.759) -- 0:08:43
648000 -- (-556.481) (-563.833) [-522.951] (-574.108) * [-513.440] (-566.643) (-567.661) (-567.876) -- 0:08:41
649000 -- (-560.257) (-563.113) [-518.939] (-573.705) * [-516.415] (-569.783) (-576.241) (-572.238) -- 0:08:40
650000 -- (-566.825) (-564.863) [-519.639] (-556.790) * [-522.743] (-568.074) (-578.255) (-576.599) -- 0:08:38
Average standard deviation of split frequencies: NA (no splits above min. frequency)
651000 -- (-567.247) (-561.159) [-525.227] (-553.289) * [-525.479] (-571.748) (-572.868) (-579.830) -- 0:08:37
652000 -- (-578.850) (-564.766) [-511.391] (-557.056) * [-519.471] (-569.305) (-566.751) (-579.415) -- 0:08:35
653000 -- (-579.827) (-566.395) [-513.815] (-563.202) * [-521.524] (-574.856) (-563.436) (-575.245) -- 0:08:34
654000 -- (-580.730) (-575.019) [-517.251] (-561.621) * [-516.515] (-577.581) (-563.328) (-573.548) -- 0:08:32
655000 -- (-568.701) (-570.958) [-516.783] (-561.437) * [-513.754] (-559.035) (-564.689) (-577.008) -- 0:08:31
Average standard deviation of split frequencies: NA (no splits above min. frequency)
656000 -- (-560.383) (-560.293) [-517.721] (-565.555) * [-516.099] (-563.386) (-569.327) (-578.624) -- 0:08:29
657000 -- (-566.685) (-562.880) [-518.674] (-562.307) * [-518.816] (-558.310) (-568.689) (-581.545) -- 0:08:28
658000 -- (-563.986) (-560.433) [-515.325] (-555.708) * [-520.484] (-558.843) (-566.749) (-581.571) -- 0:08:26
659000 -- (-570.510) (-567.825) [-517.873] (-570.607) * [-517.218] (-567.245) (-557.947) (-579.762) -- 0:08:25
660000 -- (-566.329) (-565.546) [-515.597] (-575.283) * [-525.556] (-560.339) (-565.223) (-582.050) -- 0:08:23
Average standard deviation of split frequencies: NA (no splits above min. frequency)
661000 -- (-566.086) (-565.054) [-516.043] (-575.822) * [-516.876] (-566.074) (-565.849) (-580.252) -- 0:08:22
662000 -- (-572.992) (-561.481) [-518.001] (-576.129) * [-528.030] (-556.506) (-571.672) (-571.388) -- 0:08:21
663000 -- (-575.996) (-558.460) [-518.005] (-575.437) * [-522.180] (-560.834) (-570.620) (-564.486) -- 0:08:19
664000 -- (-584.409) (-565.737) [-522.616] (-580.166) * [-519.456] (-567.092) (-571.180) (-563.622) -- 0:08:18
665000 -- (-580.963) (-558.511) [-526.824] (-578.551) * [-512.828] (-564.307) (-562.633) (-572.961) -- 0:08:16
Average standard deviation of split frequencies: NA (no splits above min. frequency)
666000 -- (-570.546) (-563.253) [-522.049] (-566.602) * [-510.746] (-566.051) (-567.182) (-576.600) -- 0:08:15
667000 -- (-564.168) (-565.146) [-517.839] (-566.016) * [-516.160] (-563.584) (-573.619) (-570.615) -- 0:08:13
668000 -- (-559.092) (-569.783) [-519.656] (-565.541) * [-513.888] (-559.476) (-576.785) (-571.317) -- 0:08:12
669000 -- (-558.320) (-565.635) [-516.183] (-563.603) * [-513.968] (-556.339) (-572.551) (-575.547) -- 0:08:10
670000 -- (-569.761) (-563.767) [-518.121] (-560.784) * [-513.310] (-562.515) (-572.560) (-573.557) -- 0:08:09
Average standard deviation of split frequencies: NA (no splits above min. frequency)
671000 -- (-564.216) (-558.976) [-513.750] (-564.354) * [-509.554] (-550.682) (-571.559) (-572.870) -- 0:08:07
672000 -- (-567.577) (-562.137) [-511.351] (-567.083) * [-512.222] (-572.236) (-573.898) (-581.408) -- 0:08:06
673000 -- (-574.602) (-563.466) [-520.508] (-572.912) * [-515.361] (-566.382) (-577.586) (-580.708) -- 0:08:04
674000 -- (-570.621) (-556.183) [-516.912] (-564.842) * [-514.497] (-566.545) (-573.034) (-582.092) -- 0:08:03
675000 -- (-574.782) (-552.505) [-519.482] (-560.893) * [-518.428] (-564.497) (-574.445) (-574.663) -- 0:08:01
Average standard deviation of split frequencies: NA (no splits above min. frequency)
676000 -- (-563.303) (-556.315) [-521.923] (-562.558) * [-518.453] (-562.049) (-578.337) (-576.192) -- 0:08:00
677000 -- (-564.142) (-553.446) [-519.365] (-561.009) * [-516.856] (-562.677) (-575.490) (-579.453) -- 0:07:59
678000 -- (-566.374) (-550.941) [-520.218] (-564.795) * [-515.813] (-576.639) (-575.582) (-578.923) -- 0:07:57
679000 -- (-567.894) (-556.432) [-517.223] (-567.389) * [-518.887] (-557.870) (-575.352) (-582.935) -- 0:07:56
680000 -- (-576.956) (-565.847) [-519.122] (-559.805) * [-517.718] (-553.538) (-572.310) (-579.958) -- 0:07:54
Average standard deviation of split frequencies: NA (no splits above min. frequency)
681000 -- (-573.470) (-567.556) [-512.660] (-560.926) * [-517.986] (-557.522) (-570.943) (-574.124) -- 0:07:53
682000 -- (-569.410) (-559.748) [-521.516] (-559.202) * [-519.264] (-554.168) (-575.289) (-573.625) -- 0:07:51
683000 -- (-565.559) (-564.478) [-521.014] (-562.465) * [-514.925] (-550.321) (-577.257) (-568.455) -- 0:07:50
684000 -- (-573.207) (-559.836) [-529.107] (-565.524) * [-519.848] (-556.217) (-577.737) (-572.929) -- 0:07:48
685000 -- (-567.872) (-564.304) [-517.001] (-555.088) * [-512.518] (-552.127) (-572.244) (-577.591) -- 0:07:47
Average standard deviation of split frequencies: NA (no splits above min. frequency)
686000 -- (-572.596) (-556.431) [-515.217] (-560.659) * [-515.994] (-557.984) (-566.969) (-577.480) -- 0:07:45
687000 -- (-575.752) (-562.254) [-517.595] (-556.966) * [-513.985] (-558.552) (-569.310) (-565.079) -- 0:07:44
688000 -- (-565.538) (-564.434) [-512.587] (-559.356) * [-515.435] (-557.863) (-569.186) (-579.163) -- 0:07:42
689000 -- (-564.216) (-564.075) [-514.645] (-554.833) * [-511.397] (-559.197) (-563.479) (-573.851) -- 0:07:40
690000 -- (-567.651) (-561.044) [-513.112] (-558.927) * [-516.908] (-559.164) (-563.516) (-578.688) -- 0:07:39
Average standard deviation of split frequencies: NA (no splits above min. frequency)
691000 -- (-570.693) (-561.545) [-511.560] (-557.616) * [-513.920] (-561.566) (-565.750) (-578.163) -- 0:07:37
692000 -- (-576.301) (-564.654) [-514.559] (-556.849) * [-523.723] (-564.067) (-566.614) (-581.095) -- 0:07:36
693000 -- (-556.889) (-563.150) [-512.231] (-555.083) * [-516.057] (-562.307) (-571.385) (-575.623) -- 0:07:34
694000 -- (-566.832) (-564.408) [-523.905] (-561.346) * [-520.293] (-571.301) (-567.414) (-580.733) -- 0:07:33
695000 -- (-563.825) (-566.016) [-518.100] (-560.274) * [-520.000] (-569.393) (-572.495) (-582.893) -- 0:07:32
Average standard deviation of split frequencies: NA (no splits above min. frequency)
696000 -- (-566.977) (-568.800) [-517.895] (-558.004) * [-515.235] (-567.012) (-564.400) (-581.896) -- 0:07:30
697000 -- (-564.435) (-565.323) [-514.605] (-557.434) * [-514.429] (-560.837) (-564.304) (-566.358) -- 0:07:29
698000 -- (-569.797) (-563.277) [-512.506] (-562.985) * [-519.018] (-567.887) (-564.289) (-569.416) -- 0:07:27
699000 -- (-561.664) (-566.704) [-512.449] (-563.553) * [-527.358] (-562.795) (-559.504) (-565.516) -- 0:07:26
700000 -- (-570.118) (-575.228) [-511.230] (-563.849) * [-526.331] (-564.152) (-562.183) (-568.971) -- 0:07:24
Average standard deviation of split frequencies: NA (no splits above min. frequency)
701000 -- (-564.287) (-572.868) [-515.825] (-563.748) * [-527.144] (-570.622) (-582.859) (-575.763) -- 0:07:23
702000 -- (-567.725) (-566.229) [-526.056] (-561.562) * [-517.872] (-574.981) (-582.129) (-575.727) -- 0:07:21
703000 -- (-568.385) (-571.322) [-521.894] (-557.526) * [-520.618] (-575.797) (-575.914) (-571.303) -- 0:07:20
704000 -- (-564.052) (-571.320) [-520.404] (-561.443) * [-521.514] (-575.841) (-579.644) (-576.065) -- 0:07:18
705000 -- (-563.771) (-572.176) [-518.268] (-568.766) * [-521.522] (-568.926) (-577.755) (-569.903) -- 0:07:17
Average standard deviation of split frequencies: NA (no splits above min. frequency)
706000 -- (-565.695) (-575.432) [-522.755] (-568.310) * [-518.869] (-570.168) (-583.935) (-569.572) -- 0:07:16
707000 -- (-563.832) (-574.191) [-521.870] (-564.358) * [-515.501] (-575.417) (-584.127) (-570.876) -- 0:07:14
708000 -- (-568.356) (-575.710) [-517.173] (-567.614) * [-519.770] (-574.839) (-588.184) (-571.199) -- 0:07:13
709000 -- (-566.061) (-559.607) [-520.804] (-564.665) * [-517.439] (-578.726) (-584.710) (-573.241) -- 0:07:11
710000 -- (-562.628) (-577.747) [-520.877] (-564.296) * [-522.883] (-576.682) (-591.735) (-572.174) -- 0:07:10
Average standard deviation of split frequencies: NA (no splits above min. frequency)
711000 -- (-571.752) (-578.265) [-525.865] (-569.164) * [-530.213] (-559.341) (-586.142) (-573.470) -- 0:07:08
712000 -- (-565.395) (-575.226) [-524.190] (-565.719) * [-528.479] (-560.732) (-582.094) (-572.891) -- 0:07:07
713000 -- (-565.232) (-568.830) [-528.571] (-563.510) * [-522.672] (-560.666) (-576.827) (-578.309) -- 0:07:05
714000 -- (-559.188) (-567.755) [-526.208] (-561.929) * [-518.523] (-560.640) (-580.228) (-574.904) -- 0:07:04
715000 -- (-565.271) (-565.252) [-527.130] (-567.707) * [-517.844] (-555.142) (-577.103) (-578.340) -- 0:07:02
Average standard deviation of split frequencies: NA (no splits above min. frequency)
716000 -- (-568.297) (-565.128) [-524.138] (-565.136) * [-516.899] (-559.890) (-581.787) (-576.310) -- 0:07:01
717000 -- (-568.157) (-564.082) [-520.793] (-567.992) * [-518.034] (-554.742) (-571.726) (-576.344) -- 0:07:00
718000 -- (-562.841) (-572.508) [-521.744] (-563.744) * [-524.724] (-562.285) (-581.229) (-575.189) -- 0:06:58
719000 -- (-572.410) (-566.534) [-522.005] (-568.423) * [-516.537] (-557.097) (-578.982) (-571.262) -- 0:06:57
720000 -- (-580.186) (-565.730) [-520.149] (-564.097) * [-516.393] (-561.043) (-580.046) (-571.645) -- 0:06:55
Average standard deviation of split frequencies: NA (no splits above min. frequency)
721000 -- (-581.021) (-561.024) [-517.974] (-569.383) * [-529.041] (-564.001) (-593.352) (-573.433) -- 0:06:54
722000 -- (-574.574) (-572.269) [-525.411] (-566.840) * [-518.925] (-564.081) (-578.186) (-575.195) -- 0:06:52
723000 -- (-578.162) (-570.133) [-527.163] (-569.014) * [-524.563] (-569.833) (-580.100) (-575.103) -- 0:06:51
724000 -- (-575.307) (-567.408) [-524.578] (-563.285) * [-521.739] (-566.630) (-570.110) (-566.327) -- 0:06:49
725000 -- (-573.135) (-567.637) [-527.480] (-562.584) * [-524.532] (-564.379) (-571.113) (-582.066) -- 0:06:48
Average standard deviation of split frequencies: NA (no splits above min. frequency)
726000 -- (-574.362) (-573.895) [-524.461] (-565.625) * [-517.012] (-562.352) (-572.741) (-578.561) -- 0:06:46
727000 -- (-559.009) (-565.549) [-526.341] (-562.659) * [-516.662] (-566.027) (-579.699) (-577.767) -- 0:06:45
728000 -- (-563.294) (-556.891) [-526.283] (-565.717) * [-518.662] (-561.744) (-581.749) (-577.968) -- 0:06:43
729000 -- (-567.582) (-569.327) [-527.009] (-557.275) * [-518.886] (-560.278) (-579.741) (-575.825) -- 0:06:42
730000 -- (-566.576) (-571.169) [-525.671] (-563.778) * [-517.960] (-568.529) (-577.982) (-578.084) -- 0:06:40
Average standard deviation of split frequencies: NA (no splits above min. frequency)
731000 -- (-566.674) (-575.034) [-526.934] (-565.378) * [-518.086] (-559.886) (-578.579) (-577.089) -- 0:06:39
732000 -- (-563.274) (-578.990) [-525.154] (-567.123) * [-517.426] (-555.782) (-574.949) (-577.066) -- 0:06:37
733000 -- (-569.853) (-577.438) [-528.059] (-558.066) * [-518.221] (-554.980) (-580.485) (-584.702) -- 0:06:36
734000 -- (-565.721) (-573.423) [-518.492] (-554.539) * [-523.251] (-557.274) (-578.119) (-566.378) -- 0:06:35
735000 -- (-564.557) (-579.251) [-520.752] (-555.129) * [-524.063] (-552.888) (-576.227) (-569.360) -- 0:06:33
Average standard deviation of split frequencies: NA (no splits above min. frequency)
736000 -- (-566.836) (-583.587) [-518.145] (-554.507) * [-521.525] (-553.442) (-578.925) (-566.888) -- 0:06:32
737000 -- (-569.113) (-567.695) [-519.087] (-560.496) * [-525.167] (-552.994) (-575.833) (-564.668) -- 0:06:30
738000 -- (-567.684) (-569.807) [-523.008] (-559.249) * [-520.117] (-555.987) (-577.530) (-574.744) -- 0:06:29
739000 -- (-562.495) (-569.943) [-519.487] (-557.276) * [-517.716] (-559.109) (-586.053) (-566.359) -- 0:06:27
740000 -- (-564.511) (-569.027) [-522.717] (-561.873) * [-516.278] (-560.205) (-579.936) (-564.321) -- 0:06:26
Average standard deviation of split frequencies: NA (no splits above min. frequency)
741000 -- (-567.510) (-574.747) [-521.885] (-560.267) * [-514.135] (-558.322) (-578.147) (-563.771) -- 0:06:24
742000 -- (-564.536) (-569.838) [-516.898] (-558.825) * [-513.957] (-558.256) (-574.432) (-567.559) -- 0:06:23
743000 -- (-554.998) (-564.355) [-515.164] (-559.391) * [-510.182] (-570.995) (-578.511) (-572.106) -- 0:06:21
744000 -- (-568.308) (-564.815) [-514.874] (-557.029) * [-509.375] (-573.626) (-577.011) (-563.741) -- 0:06:20
745000 -- (-564.734) (-562.881) [-514.982] (-558.596) * [-506.437] (-563.506) (-575.360) (-571.952) -- 0:06:18
Average standard deviation of split frequencies: NA (no splits above min. frequency)
746000 -- (-569.207) (-573.633) [-528.232] (-562.492) * [-504.313] (-554.840) (-571.675) (-574.285) -- 0:06:17
747000 -- (-570.251) (-560.700) [-525.495] (-561.937) * [-508.936] (-574.865) (-577.775) (-571.766) -- 0:06:15
748000 -- (-575.989) (-576.895) [-526.381] (-562.772) * [-508.275] (-574.055) (-575.792) (-566.468) -- 0:06:14
749000 -- (-565.662) (-572.771) [-525.035] (-549.932) * [-510.920] (-571.575) (-572.003) (-568.061) -- 0:06:12
750000 -- (-562.541) (-580.922) [-524.323] (-550.446) * [-514.514] (-565.639) (-572.459) (-571.690) -- 0:06:11
Average standard deviation of split frequencies: NA (no splits above min. frequency)
751000 -- (-561.931) (-574.541) [-527.261] (-550.073) * [-514.712] (-564.156) (-576.413) (-576.884) -- 0:06:10
752000 -- (-567.064) (-560.485) [-525.693] (-565.193) * [-512.511] (-567.043) (-573.846) (-573.046) -- 0:06:08
753000 -- (-564.089) (-560.038) [-526.108] (-567.064) * [-516.903] (-564.590) (-571.393) (-569.692) -- 0:06:07
754000 -- (-562.744) (-565.615) [-522.265] (-574.262) * [-515.140] (-570.415) (-575.609) (-571.013) -- 0:06:05
755000 -- (-563.737) (-568.115) [-521.098] (-569.374) * [-521.904] (-568.595) (-570.363) (-575.056) -- 0:06:04
Average standard deviation of split frequencies: NA (no splits above min. frequency)
756000 -- (-566.163) (-567.397) [-524.339] (-568.552) * [-518.924] (-567.678) (-574.260) (-574.565) -- 0:06:02
757000 -- (-562.037) (-568.810) [-530.254] (-569.653) * [-519.731] (-564.650) (-576.301) (-574.847) -- 0:06:01
758000 -- (-562.818) (-569.290) [-519.897] (-566.572) * [-516.779] (-568.398) (-569.444) (-569.556) -- 0:05:59
759000 -- (-563.968) (-564.420) [-518.750] (-566.052) * [-516.296] (-571.625) (-574.165) (-575.695) -- 0:05:58
760000 -- (-563.433) (-561.672) [-519.912] (-568.795) * [-512.437] (-568.426) (-570.524) (-574.345) -- 0:05:56
Average standard deviation of split frequencies: NA (no splits above min. frequency)
761000 -- (-563.116) (-559.548) [-524.864] (-556.464) * [-514.517] (-571.297) (-570.497) (-575.818) -- 0:05:55
762000 -- (-566.009) (-560.875) [-528.961] (-560.959) * [-516.522] (-566.690) (-574.505) (-574.668) -- 0:05:53
763000 -- (-567.386) (-576.314) [-521.834] (-562.492) * [-513.197] (-563.960) (-568.533) (-577.888) -- 0:05:52
764000 -- (-560.662) (-557.346) [-525.029] (-556.992) * [-514.646] (-559.776) (-570.712) (-576.468) -- 0:05:50
765000 -- (-561.988) (-567.520) [-519.684] (-561.215) * [-516.111] (-551.132) (-575.375) (-578.848) -- 0:05:49
Average standard deviation of split frequencies: NA (no splits above min. frequency)
766000 -- (-563.617) (-567.283) [-524.924] (-552.901) * [-519.532] (-554.280) (-575.167) (-572.982) -- 0:05:47
767000 -- (-565.197) (-564.177) [-518.466] (-563.656) * [-525.082] (-561.430) (-578.744) (-569.037) -- 0:05:46
768000 -- (-568.991) (-565.893) [-524.910] (-565.609) * [-521.091] (-560.167) (-573.583) (-572.545) -- 0:05:44
769000 -- (-565.798) (-565.093) [-520.814] (-567.010) * [-519.645] (-561.441) (-572.543) (-570.957) -- 0:05:43
770000 -- (-556.610) (-557.567) [-523.622] (-565.320) * [-525.192] (-555.885) (-577.462) (-563.498) -- 0:05:42
Average standard deviation of split frequencies: NA (no splits above min. frequency)
771000 -- (-560.795) (-557.773) [-526.306] (-567.698) * [-525.412] (-550.630) (-577.314) (-570.677) -- 0:05:40
772000 -- (-556.791) (-562.735) [-526.711] (-563.444) * [-520.025] (-550.907) (-573.148) (-569.189) -- 0:05:39
773000 -- (-564.407) (-564.320) [-525.948] (-554.986) * [-519.089] (-557.112) (-571.707) (-572.796) -- 0:05:37
774000 -- (-564.983) (-567.297) [-526.663] (-555.516) * [-517.543] (-574.542) (-575.053) (-570.802) -- 0:05:36
775000 -- (-565.584) (-566.864) [-522.412] (-553.488) * [-518.791] (-557.718) (-573.070) (-571.703) -- 0:05:34
Average standard deviation of split frequencies: NA (no splits above min. frequency)
776000 -- (-574.525) (-564.095) [-524.740] (-553.726) * [-523.310] (-557.310) (-575.580) (-577.469) -- 0:05:33
777000 -- (-571.670) (-560.663) [-526.755] (-552.711) * [-526.114] (-560.583) (-567.828) (-574.019) -- 0:05:31
778000 -- (-564.358) (-566.651) [-516.612] (-559.630) * [-526.296] (-566.799) (-572.485) (-571.647) -- 0:05:30
779000 -- (-565.383) (-559.649) [-517.032] (-555.671) * [-524.597] (-579.067) (-572.300) (-569.230) -- 0:05:28
780000 -- (-562.220) (-563.930) [-514.150] (-553.915) * [-523.560] (-574.984) (-570.702) (-569.939) -- 0:05:27
Average standard deviation of split frequencies: NA (no splits above min. frequency)
781000 -- (-567.348) (-560.355) [-519.739] (-557.956) * [-525.097] (-569.152) (-567.665) (-574.414) -- 0:05:25
782000 -- (-561.757) (-562.957) [-513.852] (-555.462) * [-523.307] (-563.936) (-565.179) (-572.956) -- 0:05:24
783000 -- (-574.068) (-554.983) [-516.042] (-562.035) * [-517.853] (-568.211) (-567.313) (-571.646) -- 0:05:22
784000 -- (-568.914) (-559.908) [-516.336] (-561.714) * [-519.140] (-570.011) (-570.091) (-568.286) -- 0:05:21
785000 -- (-567.025) (-560.487) [-518.345] (-560.535) * [-521.217] (-572.955) (-572.149) (-574.018) -- 0:05:19
Average standard deviation of split frequencies: NA (no splits above min. frequency)
786000 -- (-570.585) (-561.927) [-515.435] (-555.112) * [-518.945] (-561.591) (-560.585) (-571.493) -- 0:05:18
787000 -- (-575.416) (-568.817) [-516.129] (-557.062) * [-520.189] (-567.942) (-563.724) (-574.013) -- 0:05:16
788000 -- (-578.025) (-559.878) [-516.921] (-561.073) * [-524.082] (-564.004) (-566.722) (-566.004) -- 0:05:15
789000 -- (-571.894) (-565.948) [-519.338] (-556.245) * [-524.120] (-563.386) (-569.442) (-569.517) -- 0:05:13
790000 -- (-574.197) (-569.847) [-514.008] (-573.923) * [-523.807] (-568.500) (-572.693) (-572.969) -- 0:05:12
Average standard deviation of split frequencies: NA (no splits above min. frequency)
791000 -- (-574.947) (-569.669) [-515.093] (-572.793) * [-520.972] (-569.042) (-572.502) (-572.421) -- 0:05:10
792000 -- (-577.112) (-569.638) [-515.923] (-556.645) * [-520.026] (-573.084) (-568.877) (-573.228) -- 0:05:09
793000 -- (-562.578) (-570.132) [-513.840] (-558.685) * [-524.280] (-572.947) (-570.099) (-572.526) -- 0:05:08
794000 -- (-567.625) (-561.488) [-515.124] (-555.797) * [-522.593] (-566.636) (-566.524) (-567.467) -- 0:05:06
795000 -- (-566.874) (-561.750) [-517.964] (-562.151) * [-515.054] (-572.191) (-573.452) (-575.423) -- 0:05:05
Average standard deviation of split frequencies: NA (no splits above min. frequency)
796000 -- (-563.873) (-563.668) [-522.499] (-561.726) * [-511.899] (-566.706) (-572.738) (-577.480) -- 0:05:03
797000 -- (-571.531) (-565.092) [-517.642] (-566.924) * [-511.719] (-564.980) (-573.756) (-576.232) -- 0:05:02
798000 -- (-568.776) (-562.609) [-523.505] (-563.810) * [-513.319] (-565.520) (-574.742) (-583.059) -- 0:05:00
799000 -- (-574.758) (-566.898) [-522.728] (-564.439) * [-514.896] (-562.842) (-573.740) (-575.846) -- 0:04:59
800000 -- (-574.090) (-562.895) [-513.429] (-564.968) * [-514.464] (-557.358) (-570.079) (-579.943) -- 0:04:57
Average standard deviation of split frequencies: NA (no splits above min. frequency)
801000 -- (-565.335) (-559.889) [-514.920] (-559.090) * [-517.469] (-561.749) (-569.919) (-577.980) -- 0:04:56
802000 -- (-564.178) (-556.661) [-513.523] (-559.891) * [-513.225] (-566.333) (-566.865) (-581.853) -- 0:04:54
803000 -- (-563.959) (-563.380) [-517.744] (-562.758) * [-515.040] (-566.159) (-567.030) (-577.080) -- 0:04:53
804000 -- (-569.942) (-563.658) [-514.079] (-560.782) * [-522.000] (-559.505) (-567.958) (-576.406) -- 0:04:51
805000 -- (-567.435) (-563.393) [-517.953] (-556.703) * [-522.154] (-560.741) (-566.253) (-575.987) -- 0:04:50
Average standard deviation of split frequencies: NA (no splits above min. frequency)
806000 -- (-574.876) (-564.895) [-517.712] (-559.785) * [-520.365] (-559.526) (-564.795) (-565.192) -- 0:04:48
807000 -- (-565.765) (-573.052) [-519.887] (-565.155) * [-518.779] (-556.168) (-570.192) (-570.510) -- 0:04:47
808000 -- (-562.333) (-577.346) [-511.827] (-570.212) * [-523.053] (-560.609) (-574.230) (-576.921) -- 0:04:45
809000 -- (-558.181) (-578.777) [-516.958] (-569.860) * [-518.476] (-559.388) (-570.477) (-572.580) -- 0:04:44
810000 -- (-560.559) (-565.122) [-517.405] (-559.295) * [-516.351] (-560.090) (-570.688) (-575.700) -- 0:04:42
Average standard deviation of split frequencies: NA (no splits above min. frequency)
811000 -- (-564.617) (-562.231) [-514.973] (-558.036) * [-516.653] (-557.151) (-565.803) (-574.795) -- 0:04:41
812000 -- (-557.054) (-563.770) [-516.085] (-555.521) * [-515.523] (-558.277) (-567.349) (-568.375) -- 0:04:39
813000 -- (-558.264) (-574.980) [-517.312] (-558.004) * [-517.949] (-557.858) (-564.792) (-566.332) -- 0:04:38
814000 -- (-561.684) (-569.087) [-520.401] (-560.451) * [-522.534] (-562.814) (-568.362) (-567.435) -- 0:04:36
815000 -- (-559.529) (-573.862) [-519.088] (-553.136) * [-517.271] (-561.645) (-568.098) (-569.827) -- 0:04:35
Average standard deviation of split frequencies: NA (no splits above min. frequency)
816000 -- (-559.720) (-569.797) [-520.457] (-559.380) * [-517.363] (-564.106) (-568.695) (-567.565) -- 0:04:33
817000 -- (-569.759) (-578.199) [-522.053] (-554.289) * [-515.731] (-556.224) (-567.226) (-570.869) -- 0:04:32
818000 -- (-570.277) (-572.335) [-519.489] (-552.394) * [-518.630] (-558.244) (-566.240) (-575.313) -- 0:04:30
819000 -- (-567.490) (-576.015) [-519.577] (-556.871) * [-517.508] (-583.247) (-572.076) (-567.307) -- 0:04:29
820000 -- (-570.385) (-568.624) [-520.621] (-553.635) * [-518.709] (-550.589) (-564.127) (-571.266) -- 0:04:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
821000 -- (-570.341) (-563.608) [-516.088] (-555.211) * [-520.088] (-554.679) (-565.846) (-565.777) -- 0:04:26
822000 -- (-567.443) (-570.128) [-519.545] (-554.929) * [-524.469] (-568.292) (-565.643) (-569.997) -- 0:04:25
823000 -- (-567.186) (-570.595) [-518.027] (-558.068) * [-523.125] (-568.051) (-570.808) (-566.323) -- 0:04:23
824000 -- (-563.854) (-562.778) [-517.343] (-556.685) * [-522.867] (-572.949) (-572.298) (-571.863) -- 0:04:22
825000 -- (-571.241) (-566.642) [-513.149] (-559.282) * [-527.112] (-568.501) (-570.836) (-575.180) -- 0:04:20
Average standard deviation of split frequencies: NA (no splits above min. frequency)
826000 -- (-567.070) (-570.649) [-519.930] (-557.876) * [-520.475] (-567.424) (-574.097) (-576.711) -- 0:04:19
827000 -- (-569.314) (-572.547) [-513.081] (-559.951) * [-526.948] (-563.192) (-570.769) (-574.219) -- 0:04:17
828000 -- (-570.510) (-573.357) [-515.841] (-560.666) * [-519.700] (-567.082) (-563.846) (-577.784) -- 0:04:16
829000 -- (-566.442) (-571.413) [-520.642] (-557.308) * [-521.852] (-563.962) (-566.770) (-582.900) -- 0:04:14
830000 -- (-566.897) (-575.329) [-523.597] (-562.034) * [-516.873] (-561.687) (-568.225) (-577.249) -- 0:04:13
Average standard deviation of split frequencies: NA (no splits above min. frequency)
831000 -- (-566.880) (-572.854) [-518.102] (-561.677) * [-517.520] (-566.209) (-565.917) (-572.545) -- 0:04:11
832000 -- (-570.623) (-568.433) [-522.184] (-558.848) * [-512.292] (-563.325) (-570.096) (-573.423) -- 0:04:10
833000 -- (-572.758) (-564.736) [-516.613] (-561.244) * [-519.239] (-561.969) (-563.808) (-574.213) -- 0:04:08
834000 -- (-569.503) (-563.696) [-527.609] (-564.029) * [-517.353] (-560.730) (-565.043) (-579.573) -- 0:04:07
835000 -- (-560.723) (-566.491) [-521.196] (-567.229) * [-518.989] (-560.500) (-567.806) (-578.547) -- 0:04:05
Average standard deviation of split frequencies: NA (no splits above min. frequency)
836000 -- (-561.071) (-564.419) [-520.034] (-563.854) * [-512.982] (-567.578) (-561.872) (-576.315) -- 0:04:04
837000 -- (-562.168) (-568.552) [-520.772] (-560.058) * [-521.753] (-566.473) (-564.396) (-575.977) -- 0:04:02
838000 -- (-565.152) (-569.060) [-524.808] (-565.649) * [-518.787] (-565.735) (-568.052) (-581.980) -- 0:04:01
839000 -- (-568.037) (-572.806) [-526.025] (-566.039) * [-519.427] (-565.802) (-576.118) (-583.126) -- 0:03:59
840000 -- (-568.916) (-565.401) [-520.090] (-570.289) * [-523.158] (-564.568) (-577.582) (-575.303) -- 0:03:58
Average standard deviation of split frequencies: NA (no splits above min. frequency)
841000 -- (-567.100) (-564.924) [-518.498] (-571.207) * [-515.872] (-564.004) (-571.990) (-579.561) -- 0:03:56
842000 -- (-566.416) (-561.383) [-512.856] (-567.565) * [-517.049] (-566.090) (-572.811) (-576.388) -- 0:03:55
843000 -- (-569.682) (-563.867) [-514.613] (-565.702) * [-508.860] (-566.735) (-576.589) (-574.550) -- 0:03:53
844000 -- (-576.525) (-559.231) [-524.365] (-567.687) * [-510.886] (-562.672) (-582.440) (-575.840) -- 0:03:52
845000 -- (-560.460) (-574.490) [-517.145] (-566.528) * [-507.566] (-563.800) (-577.161) (-569.027) -- 0:03:50
Average standard deviation of split frequencies: NA (no splits above min. frequency)
846000 -- (-565.472) (-561.773) [-521.501] (-559.914) * [-515.170] (-560.552) (-583.927) (-570.786) -- 0:03:49
847000 -- (-561.453) (-559.961) [-517.550] (-557.019) * [-517.812] (-557.282) (-579.572) (-576.642) -- 0:03:47
848000 -- (-563.583) (-569.986) [-524.156] (-555.977) * [-517.405] (-553.269) (-578.221) (-579.494) -- 0:03:46
849000 -- (-560.767) (-565.221) [-522.122] (-560.515) * [-518.456] (-561.756) (-577.304) (-579.413) -- 0:03:44
850000 -- (-561.665) (-568.578) [-521.105] (-562.979) * [-518.651] (-568.661) (-575.217) (-576.275) -- 0:03:43
Average standard deviation of split frequencies: NA (no splits above min. frequency)
851000 -- (-566.401) (-563.385) [-519.983] (-562.956) * [-516.938] (-571.896) (-580.795) (-574.866) -- 0:03:42
852000 -- (-564.536) (-562.348) [-520.366] (-562.095) * [-528.251] (-569.610) (-590.525) (-573.420) -- 0:03:40
853000 -- (-558.716) (-563.902) [-520.738] (-561.355) * [-522.196] (-574.342) (-590.285) (-567.507) -- 0:03:39
854000 -- (-557.772) (-567.821) [-520.040] (-555.544) * [-519.950] (-570.397) (-588.522) (-568.552) -- 0:03:37
855000 -- (-559.312) (-564.563) [-515.111] (-565.603) * [-519.231] (-567.333) (-569.896) (-575.967) -- 0:03:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
856000 -- (-557.068) (-566.851) [-517.625] (-561.101) * [-520.650] (-566.645) (-567.900) (-571.910) -- 0:03:34
857000 -- (-551.975) (-569.575) [-514.627] (-565.621) * [-520.623] (-559.858) (-563.411) (-577.320) -- 0:03:33
858000 -- (-583.944) (-561.793) [-514.117] (-568.288) * [-516.858] (-563.591) (-566.952) (-575.888) -- 0:03:31
859000 -- (-583.373) (-569.917) [-511.408] (-564.536) * [-513.570] (-559.436) (-565.957) (-572.384) -- 0:03:30
860000 -- (-581.398) (-570.092) [-521.015] (-558.649) * [-513.142] (-558.750) (-569.972) (-578.304) -- 0:03:28
Average standard deviation of split frequencies: NA (no splits above min. frequency)
861000 -- (-566.357) (-573.799) [-516.173] (-568.309) * [-511.739] (-559.736) (-572.226) (-573.790) -- 0:03:27
862000 -- (-561.844) (-568.936) [-515.655] (-572.492) * [-516.154] (-566.390) (-567.595) (-576.552) -- 0:03:25
863000 -- (-564.846) (-571.444) [-515.055] (-565.570) * [-523.777] (-567.938) (-570.750) (-568.585) -- 0:03:24
864000 -- (-563.613) (-571.481) [-518.537] (-572.984) * [-522.344] (-564.498) (-571.890) (-575.098) -- 0:03:22
865000 -- (-566.114) (-565.685) [-521.372] (-567.010) * [-515.867] (-562.186) (-574.104) (-565.337) -- 0:03:21
Average standard deviation of split frequencies: NA (no splits above min. frequency)
866000 -- (-566.064) (-562.689) [-521.426] (-568.204) * [-515.487] (-564.593) (-571.731) (-564.983) -- 0:03:19
867000 -- (-574.014) (-560.232) [-519.660] (-564.559) * [-517.438] (-570.238) (-572.522) (-566.191) -- 0:03:18
868000 -- (-568.320) (-564.266) [-513.580] (-562.161) * [-519.646] (-561.531) (-576.285) (-565.229) -- 0:03:16
869000 -- (-563.251) (-557.573) [-515.830] (-570.269) * [-517.014] (-573.061) (-573.817) (-570.271) -- 0:03:15
870000 -- (-564.247) (-557.939) [-515.149] (-566.159) * [-520.012] (-564.072) (-577.040) (-579.705) -- 0:03:13
Average standard deviation of split frequencies: NA (no splits above min. frequency)
871000 -- (-566.391) (-560.373) [-515.331] (-563.023) * [-518.245] (-562.366) (-569.180) (-586.676) -- 0:03:12
872000 -- (-570.524) (-562.539) [-516.097] (-561.865) * [-518.192] (-565.686) (-575.909) (-579.210) -- 0:03:10
873000 -- (-564.276) (-565.377) [-518.624] (-570.414) * [-520.278] (-557.994) (-573.377) (-587.162) -- 0:03:09
874000 -- (-567.416) (-566.078) [-521.390] (-568.125) * [-519.704] (-556.856) (-584.982) (-583.570) -- 0:03:07
875000 -- (-575.946) (-568.760) [-515.961] (-561.697) * [-521.793] (-559.787) (-588.893) (-583.681) -- 0:03:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
876000 -- (-565.078) (-565.410) [-524.786] (-565.969) * [-526.495] (-565.104) (-581.895) (-578.615) -- 0:03:04
877000 -- (-564.795) (-568.243) [-517.434] (-562.220) * [-529.402] (-571.533) (-584.266) (-576.567) -- 0:03:03
878000 -- (-561.337) (-565.175) [-525.155] (-566.820) * [-525.933] (-556.897) (-586.829) (-572.959) -- 0:03:01
879000 -- (-569.569) (-572.600) [-520.234] (-563.591) * [-516.500] (-553.647) (-579.109) (-577.400) -- 0:03:00
880000 -- (-569.582) (-562.024) [-520.767] (-564.341) * [-516.500] (-555.348) (-583.614) (-579.241) -- 0:02:58
Average standard deviation of split frequencies: NA (no splits above min. frequency)
881000 -- (-569.167) (-555.668) [-521.404] (-570.185) * [-520.074] (-560.293) (-579.633) (-575.018) -- 0:02:57
882000 -- (-569.328) (-559.861) [-520.092] (-566.508) * [-524.779] (-560.616) (-584.344) (-575.858) -- 0:02:55
883000 -- (-569.204) (-555.738) [-527.655] (-563.557) * [-511.462] (-561.794) (-575.301) (-582.122) -- 0:02:54
884000 -- (-576.674) (-560.204) [-510.541] (-567.578) * [-517.108] (-558.213) (-579.963) (-571.685) -- 0:02:52
885000 -- (-580.453) (-556.174) [-515.546] (-569.853) * [-518.383] (-559.042) (-580.329) (-576.069) -- 0:02:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
886000 -- (-576.967) (-558.443) [-519.954] (-566.280) * [-514.007] (-556.979) (-580.043) (-580.406) -- 0:02:49
887000 -- (-579.227) (-563.913) [-520.179] (-567.794) * [-515.083] (-560.058) (-577.694) (-575.678) -- 0:02:48
888000 -- (-580.175) (-568.186) [-514.921] (-569.221) * [-521.326] (-559.832) (-577.358) (-570.966) -- 0:02:46
889000 -- (-581.652) (-566.255) [-517.187] (-567.787) * [-514.441] (-560.470) (-577.361) (-572.675) -- 0:02:45
890000 -- (-578.908) (-564.704) [-514.226] (-558.281) * [-514.984] (-557.601) (-576.992) (-571.649) -- 0:02:43
Average standard deviation of split frequencies: NA (no splits above min. frequency)
891000 -- (-571.648) (-569.587) [-520.777] (-559.115) * [-520.176] (-551.863) (-578.442) (-574.934) -- 0:02:42
892000 -- (-573.139) (-570.635) [-517.968] (-561.166) * [-514.080] (-553.718) (-581.099) (-576.055) -- 0:02:41
893000 -- (-580.549) (-576.941) [-523.278] (-558.137) * [-512.981] (-555.313) (-569.854) (-573.327) -- 0:02:39
894000 -- (-570.861) (-572.284) [-515.676] (-564.679) * [-512.430] (-557.231) (-568.916) (-568.319) -- 0:02:38
895000 -- (-568.895) (-576.202) [-517.399] (-559.607) * [-515.678] (-563.474) (-570.821) (-570.905) -- 0:02:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
896000 -- (-576.414) (-574.006) [-518.874] (-554.992) * [-514.041] (-554.611) (-570.733) (-566.499) -- 0:02:35
897000 -- (-572.955) (-573.430) [-519.051] (-553.994) * [-515.830] (-556.425) (-571.944) (-568.865) -- 0:02:33
898000 -- (-567.289) (-560.355) [-517.149] (-556.023) * [-517.450] (-564.492) (-568.682) (-564.894) -- 0:02:32
899000 -- (-563.382) (-562.036) [-515.488] (-561.197) * [-521.183] (-564.596) (-565.643) (-571.702) -- 0:02:30
900000 -- (-575.808) (-564.877) [-513.046] (-559.036) * [-517.639] (-560.725) (-571.180) (-574.015) -- 0:02:29
Average standard deviation of split frequencies: NA (no splits above min. frequency)
901000 -- (-571.886) (-574.032) [-516.275] (-561.662) * [-513.000] (-566.666) (-568.949) (-578.649) -- 0:02:27
902000 -- (-575.032) (-570.187) [-514.631] (-565.205) * [-510.653] (-564.112) (-567.400) (-569.735) -- 0:02:26
903000 -- (-570.250) (-575.046) [-503.671] (-552.088) * [-514.017] (-567.008) (-570.792) (-578.519) -- 0:02:24
904000 -- (-557.443) (-567.407) [-522.695] (-560.780) * [-512.390] (-565.512) (-566.109) (-570.821) -- 0:02:23
905000 -- (-557.864) (-565.792) [-526.789] (-554.562) * [-516.646] (-567.398) (-568.153) (-572.255) -- 0:02:21
Average standard deviation of split frequencies: NA (no splits above min. frequency)
906000 -- (-557.447) (-563.733) [-516.348] (-555.782) * [-511.781] (-563.421) (-569.776) (-576.647) -- 0:02:20
907000 -- (-559.067) (-565.540) [-526.524] (-555.770) * [-508.468] (-575.771) (-574.012) (-571.452) -- 0:02:18
908000 -- (-558.835) (-558.553) [-516.588] (-562.509) * [-511.785] (-575.947) (-572.534) (-574.906) -- 0:02:17
909000 -- (-565.836) (-565.999) [-514.586] (-567.837) * [-516.275] (-575.370) (-577.709) (-572.270) -- 0:02:15
910000 -- (-566.312) (-558.812) [-514.938] (-570.457) * [-521.762] (-578.661) (-586.460) (-572.160) -- 0:02:14
Average standard deviation of split frequencies: NA (no splits above min. frequency)
911000 -- (-566.857) (-567.305) [-516.423] (-576.224) * [-515.092] (-577.866) (-575.406) (-569.086) -- 0:02:12
912000 -- (-572.509) (-565.213) [-519.994] (-568.497) * [-515.469] (-575.151) (-586.356) (-572.787) -- 0:02:11
913000 -- (-566.638) (-564.833) [-515.918] (-562.780) * [-516.043] (-571.962) (-576.772) (-572.124) -- 0:02:09
914000 -- (-563.217) (-562.464) [-520.801] (-562.068) * [-508.165] (-570.006) (-574.682) (-570.083) -- 0:02:08
915000 -- (-561.000) (-576.806) [-524.516] (-559.416) * [-505.613] (-571.710) (-576.981) (-572.646) -- 0:02:06
Average standard deviation of split frequencies: NA (no splits above min. frequency)
916000 -- (-558.008) (-565.913) [-525.770] (-568.381) * [-525.960] (-568.302) (-582.909) (-572.163) -- 0:02:05
917000 -- (-556.072) (-571.326) [-517.399] (-572.452) * [-526.808] (-567.582) (-581.298) (-573.830) -- 0:02:03
918000 -- (-563.581) (-572.919) [-518.732] (-556.870) * [-528.551] (-568.560) (-578.711) (-566.810) -- 0:02:02
919000 -- (-558.833) (-567.682) [-523.096] (-557.274) * [-526.468] (-566.619) (-582.212) (-570.227) -- 0:02:00
920000 -- (-559.254) (-563.739) [-524.188] (-562.212) * [-523.730] (-567.400) (-580.424) (-572.444) -- 0:01:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
921000 -- (-566.326) (-576.301) [-525.474] (-551.529) * [-523.437] (-571.770) (-586.328) (-564.549) -- 0:01:57
922000 -- (-564.032) (-569.849) [-519.192] (-553.766) * [-524.563] (-578.106) (-585.193) (-565.970) -- 0:01:56
923000 -- (-577.189) (-569.672) [-522.240] (-559.385) * [-521.149] (-577.793) (-582.776) (-567.686) -- 0:01:54
924000 -- (-573.252) (-576.493) [-517.369] (-560.962) * [-523.113] (-571.912) (-589.454) (-581.932) -- 0:01:53
925000 -- (-561.318) (-578.023) [-519.154] (-564.320) * [-519.915] (-571.257) (-584.949) (-574.429) -- 0:01:51
Average standard deviation of split frequencies: NA (no splits above min. frequency)
926000 -- (-563.354) (-572.597) [-524.478] (-565.663) * [-515.618] (-570.547) (-584.103) (-582.473) -- 0:01:50
927000 -- (-565.894) (-569.472) [-526.104] (-571.540) * [-515.140] (-573.749) (-586.366) (-587.262) -- 0:01:48
928000 -- (-558.893) (-562.286) [-521.607] (-573.552) * [-519.418] (-570.445) (-584.785) (-585.503) -- 0:01:47
929000 -- (-554.961) (-566.275) [-515.656] (-558.484) * [-512.556] (-562.361) (-581.156) (-591.632) -- 0:01:45
930000 -- (-559.064) (-565.187) [-518.194] (-552.378) * [-516.058] (-566.878) (-582.200) (-579.780) -- 0:01:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
931000 -- (-556.018) (-563.170) [-517.573] (-547.968) * [-519.997] (-564.102) (-581.659) (-572.721) -- 0:01:42
932000 -- (-555.163) (-559.977) [-517.853] (-554.793) * [-523.542] (-562.158) (-580.652) (-571.701) -- 0:01:41
933000 -- (-555.712) (-557.572) [-516.422] (-559.432) * [-524.344] (-564.442) (-579.552) (-572.739) -- 0:01:39
934000 -- (-558.781) (-559.019) [-517.640] (-568.149) * [-505.043] (-566.037) (-572.561) (-574.618) -- 0:01:38
935000 -- (-568.170) (-558.510) [-518.049] (-566.309) * [-508.209] (-563.299) (-570.273) (-573.286) -- 0:01:36
Average standard deviation of split frequencies: NA (no splits above min. frequency)
936000 -- (-564.150) (-569.199) [-517.508] (-560.787) * [-509.192] (-564.720) (-569.381) (-577.048) -- 0:01:35
937000 -- (-572.856) (-573.101) [-512.696] (-559.135) * [-510.344] (-564.532) (-570.135) (-575.626) -- 0:01:33
938000 -- (-573.900) (-570.566) [-511.887] (-566.708) * [-510.351] (-565.726) (-567.438) (-567.608) -- 0:01:32
939000 -- (-570.435) (-571.168) [-516.989] (-562.719) * [-515.124] (-568.424) (-563.682) (-572.286) -- 0:01:30
940000 -- (-560.477) (-569.222) [-512.739] (-555.497) * [-513.077] (-564.914) (-561.689) (-570.706) -- 0:01:29
Average standard deviation of split frequencies: NA (no splits above min. frequency)
941000 -- (-560.133) (-563.866) [-521.858] (-558.809) * [-523.189] (-570.621) (-566.795) (-567.067) -- 0:01:27
942000 -- (-564.052) (-570.914) [-521.009] (-557.262) * [-519.572] (-564.757) (-563.751) (-576.727) -- 0:01:26
943000 -- (-564.423) (-571.532) [-511.902] (-562.038) * [-523.738] (-568.266) (-571.536) (-572.459) -- 0:01:25
944000 -- (-564.711) (-574.462) [-517.657] (-563.068) * [-518.434] (-570.858) (-571.650) (-564.273) -- 0:01:23
945000 -- (-577.090) (-575.239) [-513.259] (-563.714) * [-515.844] (-571.627) (-577.866) (-567.533) -- 0:01:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
946000 -- (-573.134) (-570.331) [-512.328] (-564.491) * [-516.351] (-567.260) (-576.831) (-573.567) -- 0:01:20
947000 -- (-568.062) (-570.278) [-514.337] (-561.701) * [-522.312] (-561.938) (-568.606) (-571.831) -- 0:01:19
948000 -- (-564.745) (-573.180) [-508.055] (-561.882) * [-520.425] (-562.879) (-568.768) (-574.702) -- 0:01:17
949000 -- (-564.151) (-573.375) [-528.477] (-562.383) * [-526.012] (-564.190) (-570.555) (-570.915) -- 0:01:16
950000 -- (-563.375) (-572.760) [-529.888] (-556.517) * [-517.746] (-559.815) (-570.454) (-571.428) -- 0:01:14
Average standard deviation of split frequencies: NA (no splits above min. frequency)
951000 -- (-565.435) (-569.018) [-525.931] (-562.757) * [-517.390] (-562.813) (-573.777) (-569.569) -- 0:01:13
952000 -- (-565.873) (-567.625) [-527.274] (-556.393) * [-517.208] (-574.993) (-580.759) (-571.477) -- 0:01:11
953000 -- (-566.814) (-565.580) [-527.569] (-556.556) * [-522.996] (-566.730) (-578.731) (-568.239) -- 0:01:10
954000 -- (-566.603) (-563.766) [-526.107] (-556.279) * [-518.076] (-568.408) (-580.578) (-573.793) -- 0:01:08
955000 -- (-574.374) (-571.581) [-523.222] (-560.437) * [-519.890] (-569.678) (-580.056) (-577.548) -- 0:01:07
Average standard deviation of split frequencies: NA (no splits above min. frequency)
956000 -- (-573.021) (-560.996) [-526.865] (-553.968) * [-517.034] (-568.848) (-583.468) (-565.266) -- 0:01:05
957000 -- (-566.798) (-565.781) [-517.552] (-558.367) * [-519.037] (-574.849) (-585.134) (-566.097) -- 0:01:04
958000 -- (-559.375) (-557.094) [-515.248] (-560.028) * [-518.743] (-566.018) (-585.904) (-563.895) -- 0:01:02
959000 -- (-561.404) (-559.411) [-514.258] (-556.721) * [-519.835] (-563.889) (-581.756) (-563.706) -- 0:01:01
960000 -- (-560.161) (-555.452) [-516.663] (-560.292) * [-517.411] (-564.111) (-565.823) (-560.629) -- 0:00:59
Average standard deviation of split frequencies: NA (no splits above min. frequency)
961000 -- (-560.803) (-555.655) [-515.014] (-560.616) * [-522.396] (-566.235) (-563.713) (-562.503) -- 0:00:58
962000 -- (-566.063) (-556.994) [-512.483] (-560.419) * [-518.145] (-557.648) (-566.714) (-577.792) -- 0:00:56
963000 -- (-567.231) (-566.290) [-516.154] (-556.574) * [-518.769] (-568.889) (-564.843) (-580.827) -- 0:00:55
964000 -- (-562.535) (-562.541) [-513.454] (-559.993) * [-519.156] (-563.231) (-565.475) (-588.846) -- 0:00:53
965000 -- (-557.981) (-559.439) [-512.271] (-557.896) * [-525.558] (-566.329) (-570.580) (-569.510) -- 0:00:52
Average standard deviation of split frequencies: NA (no splits above min. frequency)
966000 -- (-563.472) (-559.966) [-509.819] (-554.930) * [-520.400] (-562.504) (-568.067) (-564.608) -- 0:00:50
967000 -- (-556.211) (-559.387) [-512.819] (-557.659) * [-520.380] (-563.512) (-565.722) (-574.272) -- 0:00:49
968000 -- (-559.997) (-564.358) [-513.162] (-548.994) * [-515.639] (-562.756) (-580.488) (-570.819) -- 0:00:47
969000 -- (-563.239) (-565.143) [-510.579] (-555.796) * [-513.313] (-560.129) (-577.393) (-574.695) -- 0:00:46
970000 -- (-566.008) (-565.475) [-511.657] (-553.036) * [-515.644] (-558.299) (-577.312) (-576.742) -- 0:00:44
Average standard deviation of split frequencies: NA (no splits above min. frequency)
971000 -- (-568.279) (-562.717) [-514.254] (-554.812) * [-515.861] (-559.262) (-578.874) (-575.974) -- 0:00:43
972000 -- (-558.738) (-570.482) [-514.868] (-560.172) * [-516.286] (-563.036) (-578.080) (-565.403) -- 0:00:41
973000 -- (-564.244) (-561.160) [-518.620] (-561.924) * [-511.263] (-558.387) (-580.785) (-563.349) -- 0:00:40
974000 -- (-565.477) (-560.485) [-515.976] (-566.025) * [-509.019] (-562.758) (-584.009) (-582.838) -- 0:00:38
975000 -- (-566.185) (-565.843) [-513.565] (-573.720) * [-517.707] (-567.337) (-579.011) (-576.815) -- 0:00:37
Average standard deviation of split frequencies: NA (no splits above min. frequency)
976000 -- (-567.156) (-570.803) [-516.481] (-563.494) * [-516.036] (-565.229) (-582.447) (-583.306) -- 0:00:35
977000 -- (-563.841) (-567.231) [-515.027] (-563.534) * [-519.710] (-559.477) (-575.025) (-583.575) -- 0:00:34
978000 -- (-561.754) (-569.647) [-517.400] (-564.168) * [-520.688] (-565.011) (-578.216) (-580.115) -- 0:00:32
979000 -- (-562.217) (-575.958) [-513.600] (-570.270) * [-515.422] (-563.341) (-567.808) (-578.504) -- 0:00:31
980000 -- (-570.430) (-578.200) [-521.170] (-565.608) * [-514.252] (-567.187) (-569.785) (-577.806) -- 0:00:29
Average standard deviation of split frequencies: NA (no splits above min. frequency)
981000 -- (-573.623) (-572.805) [-521.212] (-557.654) * [-518.361] (-565.051) (-572.950) (-567.980) -- 0:00:28
982000 -- (-566.554) (-571.378) [-528.087] (-561.887) * [-512.256] (-569.462) (-574.037) (-570.247) -- 0:00:26
983000 -- (-558.518) (-574.753) [-514.862] (-555.379) * [-512.124] (-569.949) (-570.680) (-571.800) -- 0:00:25
984000 -- (-565.823) (-576.167) [-518.149] (-566.377) * [-509.390] (-566.000) (-571.855) (-578.795) -- 0:00:23
985000 -- (-565.393) (-574.284) [-518.021] (-561.643) * [-505.981] (-561.584) (-579.204) (-577.310) -- 0:00:22
Average standard deviation of split frequencies: NA (no splits above min. frequency)
986000 -- (-564.269) (-570.223) [-520.921] (-565.744) * [-511.530] (-555.773) (-572.118) (-571.266) -- 0:00:20
987000 -- (-559.896) (-569.014) [-521.936] (-561.219) * [-511.338] (-554.926) (-571.740) (-579.368) -- 0:00:19
988000 -- (-562.981) (-565.488) [-523.644] (-558.971) * [-510.329] (-560.435) (-570.323) (-572.956) -- 0:00:17
989000 -- (-561.465) (-566.270) [-524.395] (-564.115) * [-514.676] (-561.575) (-567.270) (-580.226) -- 0:00:16
990000 -- (-566.671) (-566.857) [-521.267] (-564.100) * [-519.525] (-569.317) (-584.660) (-567.047) -- 0:00:14
Average standard deviation of split frequencies: NA (no splits above min. frequency)
991000 -- (-569.435) (-566.105) [-520.063] (-566.300) * [-520.989] (-564.642) (-578.578) (-568.324) -- 0:00:13
992000 -- (-569.724) (-567.033) [-518.007] (-562.004) * [-514.420] (-567.408) (-576.814) (-570.006) -- 0:00:11
993000 -- (-566.009) (-567.087) [-519.298] (-550.756) * [-514.677] (-564.784) (-578.786) (-573.269) -- 0:00:10
994000 -- (-560.702) (-567.281) [-517.412] (-554.534) * [-521.637] (-569.349) (-580.027) (-569.113) -- 0:00:08
995000 -- (-564.771) (-566.423) [-509.044] (-554.175) * [-519.490] (-568.667) (-571.481) (-569.223) -- 0:00:07
Average standard deviation of split frequencies: NA (no splits above min. frequency)
996000 -- (-568.339) (-571.131) [-509.201] (-555.775) * [-528.776] (-568.980) (-572.480) (-566.999) -- 0:00:05
997000 -- (-571.349) (-571.527) [-517.664] (-557.248) * [-517.079] (-559.473) (-573.087) (-565.479) -- 0:00:04
998000 -- (-573.422) (-573.291) [-521.119] (-556.382) * [-522.111] (-571.131) (-577.158) (-568.293) -- 0:00:02
999000 -- (-567.886) (-565.652) [-518.895] (-551.878) * [-518.316] (-565.738) (-581.180) (-558.537) -- 0:00:01
1000000 -- (-568.974) (-562.717) [-521.538] (-546.241) * [-521.484] (-561.857) (-584.543) (-578.899) -- 0:00:00
Average standard deviation of split frequencies: NA (no splits above min. frequency)
Analysis completed in 24 mins 54 seconds
Analysis used 1492.43 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -501.86
Likelihood of best state for "cold" chain of run 2 was -511.53
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
72.6 % ( 66 %) Dirichlet(Revmat{all})
83.9 % ( 70 %) Slider(Revmat{all})
43.6 % ( 42 %) Dirichlet(Pi{all})
42.3 % ( 36 %) Slider(Pi{all})
79.7 % ( 61 %) Multiplier(Alpha{1,2})
68.8 % ( 42 %) Multiplier(Alpha{3})
87.4 % ( 77 %) Slider(Pinvar{all})
98.6 % ( 99 %) ExtSPR(Tau{all},V{all})
98.2 % ( 98 %) ExtTBR(Tau{all},V{all})
100.0 % (100 %) NNI(Tau{all},V{all})
97.9 % ( 98 %) ParsSPR(Tau{all},V{all})
27.8 % ( 30 %) Multiplier(V{all})
95.4 % ( 97 %) Nodeslider(V{all})
27.0 % ( 31 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
73.0 % ( 67 %) Dirichlet(Revmat{all})
85.1 % ( 69 %) Slider(Revmat{all})
43.0 % ( 44 %) Dirichlet(Pi{all})
42.8 % ( 34 %) Slider(Pi{all})
79.6 % ( 53 %) Multiplier(Alpha{1,2})
67.7 % ( 38 %) Multiplier(Alpha{3})
87.5 % ( 69 %) Slider(Pinvar{all})
98.5 % ( 98 %) ExtSPR(Tau{all},V{all})
98.3 % ( 99 %) ExtTBR(Tau{all},V{all})
100.0 % (100 %) NNI(Tau{all},V{all})
98.0 % ( 96 %) ParsSPR(Tau{all},V{all})
27.9 % ( 29 %) Multiplier(V{all})
95.3 % ( 98 %) Nodeslider(V{all})
27.0 % ( 31 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166988 0.02 0.00
3 | 166549 166838 0.09
4 | 166373 166821 166431
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166548 0.02 0.00
3 | 167109 166066 0.09
4 | 166487 166517 167273
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)
+------------------------------------------------------------+ -509.39
| 1 |
| 1 2 |
| 1 |
| 211 2 2 12 |
|1 1 1 1 2212 1 1 2 1 1 2 2 |
| 1 22 2 2 21 2 2 2 2 1 2 1 2 |
| 2 21 212 211 2 122 1 2 12 21 11 2 *|
| 2 22 * 1 1 21 11 12 *2 22 1 2 1 |
|22 2 1 1 1 2 1221 2 11 1 |
| 2 21 2 2 2 * 1 |
| 1 1 1 |
| 1 11 1 |
| 2 1 |
| |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -528.79
^ ^
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 -509.36 -528.97
2 -508.99 -526.41
--------------------------------------
TOTAL -509.15 -528.35
--------------------------------------
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} 0.114113 0.000633 0.071769 0.165911 0.111468 1379.14 1430.16 1.002
r(A<->C){all} 0.151176 0.004753 0.032252 0.285982 0.144092 103.33 148.64 1.001
r(A<->G){all} 0.193149 0.006025 0.053459 0.344407 0.185104 138.80 143.70 1.000
r(A<->T){all} 0.138769 0.003174 0.038683 0.246734 0.132476 161.76 190.56 1.000
r(C<->G){all} 0.126033 0.004072 0.020347 0.253272 0.118233 147.34 148.01 1.000
r(C<->T){all} 0.277549 0.006392 0.132907 0.444538 0.271503 135.52 135.80 1.001
r(G<->T){all} 0.113323 0.003003 0.016864 0.215024 0.106074 190.28 207.18 1.001
pi(A){all} 0.250833 0.000679 0.201560 0.304221 0.249668 632.34 681.08 1.000
pi(C){all} 0.211841 0.000626 0.162803 0.260412 0.210915 663.99 738.39 1.000
pi(G){all} 0.192674 0.000563 0.144468 0.235730 0.192313 675.51 746.66 1.000
pi(T){all} 0.344651 0.000801 0.292126 0.401101 0.343876 707.42 796.51 1.000
alpha{1,2} 1.010182 1.015354 0.000603 3.051433 0.702926 599.63 720.73 1.000
alpha{3} 1.854119 1.425223 0.150071 4.218905 1.573236 712.39 839.63 1.000
pinvar{all} 0.191357 0.021458 0.000092 0.474689 0.160714 475.29 506.13 1.008
------------------------------------------------------------------------------------------------------
* 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 -- C52
2 -- C65
3 -- C10
4 -- C67
5 -- C68
6 -- C9
7 -- C14
8 -- C73
9 -- C72
10 -- C17
11 -- C74
12 -- C59
13 -- C75
14 -- C16
15 -- C21
16 -- C80
17 -- C79
18 -- C24
19 -- C81
20 -- C82
21 -- C23
22 -- C28
23 -- C58
24 -- C87
25 -- C86
26 -- C31
27 -- C88
28 -- C89
29 -- C30
30 -- C35
31 -- C94
32 -- C93
33 -- C38
34 -- C3
35 -- C95
36 -- C96
37 -- C37
38 -- C42
39 -- C101
40 -- C100
41 -- C45
42 -- C102
43 -- C103
44 -- C44
45 -- C60
46 -- C49
47 -- C108
48 -- C107
49 -- C1
50 -- C109
51 -- C110
52 -- C51
53 -- C56
54 -- C115
55 -- C114
56 -- C61
57 -- C8
58 -- C116
59 -- C117
60 -- C4
61 -- C63
62 -- C122
63 -- C121
64 -- C15
65 -- C123
66 -- C124
67 -- C2
68 -- C11
69 -- C70
70 -- C129
71 -- C128
72 -- C22
73 -- C130
74 -- C131
75 -- C18
76 -- C77
77 -- C136
78 -- C7
79 -- C135
80 -- C29
81 -- C137
82 -- C138
83 -- C25
84 -- C84
85 -- C143
86 -- C142
87 -- C36
88 -- C144
89 -- C66
90 -- C145
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
--------------------------------------------------------------------------------
1 -- .**********************************************************************
2 -- .*.....................................................................
3 -- ..*....................................................................
4 -- ...*...................................................................
5 -- ....*..................................................................
6 -- .....*.................................................................
7 -- ......*................................................................
8 -- .......*...............................................................
9 -- ........*..............................................................
10 -- .........*.............................................................
11 -- ..........*............................................................
12 -- ...........*...........................................................
13 -- ............*..........................................................
14 -- .............*.........................................................
15 -- ..............*........................................................
16 -- ...............*.......................................................
17 -- ................*......................................................
18 -- .................*.....................................................
19 -- ..................*....................................................
20 -- ...................*...................................................
21 -- ....................*..................................................
22 -- .....................*.................................................
23 -- ......................*................................................
24 -- .......................*...............................................
25 -- ........................*..............................................
26 -- .........................*.............................................
27 -- ..........................*............................................
28 -- ...........................*...........................................
29 -- ............................*..........................................
30 -- .............................*.........................................
31 -- ..............................*........................................
32 -- ...............................*.......................................
33 -- ................................*......................................
34 -- .................................*.....................................
35 -- ..................................*....................................
36 -- ...................................*...................................
37 -- ....................................*..................................
38 -- .....................................*.................................
39 -- ......................................*................................
40 -- .......................................*...............................
41 -- ........................................*..............................
42 -- .........................................*.............................
43 -- ..........................................*............................
44 -- ...........................................*...........................
45 -- ............................................*..........................
46 -- .............................................*.........................
47 -- ..............................................*........................
48 -- ...............................................*.......................
49 -- ................................................*......................
50 -- .................................................*.....................
51 -- ..................................................*....................
52 -- ...................................................*...................
53 -- ....................................................*..................
54 -- .....................................................*.................
55 -- ......................................................*................
56 -- .......................................................*...............
57 -- ........................................................*..............
58 -- .........................................................*.............
59 -- ..........................................................*............
60 -- ...........................................................*...........
61 -- ............................................................*..........
62 -- .............................................................*.........
63 -- ..............................................................*........
64 -- ...............................................................*.......
65 -- ................................................................*......
66 -- .................................................................*.....
67 -- ..................................................................*....
68 -- ...................................................................*...
69 -- ....................................................................*..
70 -- .....................................................................*.
71 -- ......................................................................*
72 -- .......................................................................
73 -- .......................................................................
74 -- .......................................................................
75 -- .......................................................................
76 -- .......................................................................
77 -- .......................................................................
78 -- .......................................................................
79 -- .......................................................................
80 -- .......................................................................
81 -- .......................................................................
82 -- .......................................................................
83 -- .......................................................................
84 -- .......................................................................
85 -- .......................................................................
86 -- .......................................................................
87 -- .......................................................................
88 -- .......................................................................
89 -- .......................................................................
90 -- .......................................................................
--------------------------------------------------------------------------------
ID -- Partition (continued)
--------------------------------------------------------------------------------
1 -- *******************
2 -- ...................
3 -- ...................
4 -- ...................
5 -- ...................
6 -- ...................
7 -- ...................
8 -- ...................
9 -- ...................
10 -- ...................
11 -- ...................
12 -- ...................
13 -- ...................
14 -- ...................
15 -- ...................
16 -- ...................
17 -- ...................
18 -- ...................
19 -- ...................
20 -- ...................
21 -- ...................
22 -- ...................
23 -- ...................
24 -- ...................
25 -- ...................
26 -- ...................
27 -- ...................
28 -- ...................
29 -- ...................
30 -- ...................
31 -- ...................
32 -- ...................
33 -- ...................
34 -- ...................
35 -- ...................
36 -- ...................
37 -- ...................
38 -- ...................
39 -- ...................
40 -- ...................
41 -- ...................
42 -- ...................
43 -- ...................
44 -- ...................
45 -- ...................
46 -- ...................
47 -- ...................
48 -- ...................
49 -- ...................
50 -- ...................
51 -- ...................
52 -- ...................
53 -- ...................
54 -- ...................
55 -- ...................
56 -- ...................
57 -- ...................
58 -- ...................
59 -- ...................
60 -- ...................
61 -- ...................
62 -- ...................
63 -- ...................
64 -- ...................
65 -- ...................
66 -- ...................
67 -- ...................
68 -- ...................
69 -- ...................
70 -- ...................
71 -- ...................
72 -- *..................
73 -- .*.................
74 -- ..*................
75 -- ...*...............
76 -- ....*..............
77 -- .....*.............
78 -- ......*............
79 -- .......*...........
80 -- ........*..........
81 -- .........*.........
82 -- ..........*........
83 -- ...........*.......
84 -- ............*......
85 -- .............*.....
86 -- ..............*....
87 -- ...............*...
88 -- ................*..
89 -- .................*.
90 -- ..................*
--------------------------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
----------------------------------------------------------------
+ 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] 0.000573 0.000000 0.000000 0.001761 0.000385 1.004 2
length{all}[2] 0.000521 0.000000 0.000000 0.001611 0.000349 1.007 2
length{all}[3] 0.000545 0.000000 0.000000 0.001634 0.000356 1.000 2
length{all}[4] 0.001095 0.000001 0.000035 0.002762 0.000866 1.000 2
length{all}[5] 0.000574 0.000000 0.000000 0.001788 0.000374 1.000 2
length{all}[6] 0.000564 0.000000 0.000000 0.001709 0.000363 1.001 2
length{all}[7] 0.000537 0.000000 0.000000 0.001679 0.000351 1.000 2
length{all}[8] 0.000577 0.000000 0.000000 0.001709 0.000377 1.003 2
length{all}[9] 0.000570 0.000000 0.000000 0.001763 0.000384 1.003 2
length{all}[10] 0.000578 0.000000 0.000001 0.001825 0.000401 1.000 2
length{all}[11] 0.000561 0.000000 0.000000 0.001736 0.000373 1.000 2
length{all}[12] 0.000555 0.000000 0.000000 0.001766 0.000368 1.002 2
length{all}[13] 0.000591 0.000000 0.000000 0.001749 0.000416 1.000 2
length{all}[14] 0.000577 0.000000 0.000000 0.001847 0.000349 1.000 2
length{all}[15] 0.000542 0.000000 0.000000 0.001630 0.000367 1.001 2
length{all}[16] 0.000575 0.000000 0.000000 0.001949 0.000364 1.001 2
length{all}[17] 0.000589 0.000000 0.000000 0.001843 0.000399 1.000 2
length{all}[18] 0.000542 0.000000 0.000000 0.001626 0.000381 1.003 2
length{all}[19] 0.000537 0.000000 0.000000 0.001652 0.000379 1.000 2
length{all}[20] 0.000538 0.000000 0.000000 0.001646 0.000362 1.000 2
length{all}[21] 0.001157 0.000001 0.000035 0.002877 0.000957 1.000 2
length{all}[22] 0.000560 0.000000 0.000000 0.001709 0.000381 1.000 2
length{all}[23] 0.000530 0.000000 0.000001 0.001587 0.000369 1.001 2
length{all}[24] 0.000544 0.000000 0.000000 0.001701 0.000339 1.000 2
length{all}[25] 0.000538 0.000000 0.000000 0.001668 0.000349 1.002 2
length{all}[26] 0.000550 0.000000 0.000001 0.001682 0.000370 1.001 2
length{all}[27] 0.000561 0.000000 0.000001 0.001649 0.000386 1.000 2
length{all}[28] 0.000566 0.000000 0.000000 0.001770 0.000361 1.001 2
length{all}[29] 0.000583 0.000000 0.000000 0.001823 0.000367 1.000 2
length{all}[30] 0.000597 0.000000 0.000000 0.001853 0.000410 1.000 2
length{all}[31] 0.000552 0.000000 0.000000 0.001737 0.000369 1.000 2
length{all}[32] 0.000541 0.000000 0.000000 0.001623 0.000359 1.000 2
length{all}[33] 0.000593 0.000000 0.000000 0.001759 0.000423 1.000 2
length{all}[34] 0.000591 0.000000 0.000001 0.001860 0.000398 1.000 2
length{all}[35] 0.000584 0.000000 0.000000 0.001806 0.000385 1.000 2
length{all}[36] 0.000559 0.000000 0.000001 0.001695 0.000362 1.000 2
length{all}[37] 0.000527 0.000000 0.000000 0.001550 0.000369 1.000 2
length{all}[38] 0.000564 0.000000 0.000000 0.001716 0.000382 1.000 2
length{all}[39] 0.000560 0.000000 0.000000 0.001627 0.000398 1.000 2
length{all}[40] 0.000528 0.000000 0.000000 0.001580 0.000363 1.002 2
length{all}[41] 0.000554 0.000000 0.000002 0.001690 0.000356 1.007 2
length{all}[42] 0.000521 0.000000 0.000001 0.001572 0.000351 1.000 2
length{all}[43] 0.000559 0.000000 0.000000 0.001624 0.000390 1.001 2
length{all}[44] 0.001179 0.000001 0.000033 0.002902 0.000986 1.000 2
length{all}[45] 0.000604 0.000000 0.000000 0.001736 0.000431 1.000 2
length{all}[46] 0.000545 0.000000 0.000000 0.001687 0.000363 1.000 2
length{all}[47] 0.000561 0.000000 0.000000 0.001739 0.000377 1.000 2
length{all}[48] 0.000538 0.000000 0.000000 0.001788 0.000343 1.000 2
length{all}[49] 0.000569 0.000000 0.000002 0.001698 0.000388 1.001 2
length{all}[50] 0.000550 0.000000 0.000000 0.001663 0.000362 1.000 2
length{all}[51] 0.000536 0.000000 0.000001 0.001623 0.000366 1.002 2
length{all}[52] 0.000555 0.000000 0.000001 0.001717 0.000376 1.000 2
length{all}[53] 0.000571 0.000000 0.000000 0.001762 0.000391 1.000 2
length{all}[54] 0.000570 0.000000 0.000000 0.001696 0.000393 1.001 2
length{all}[55] 0.000581 0.000000 0.000000 0.001711 0.000395 1.000 2
length{all}[56] 0.000554 0.000000 0.000001 0.001646 0.000386 1.001 2
length{all}[57] 0.000561 0.000000 0.000001 0.001616 0.000395 1.001 2
length{all}[58] 0.000537 0.000000 0.000001 0.001745 0.000340 1.002 2
length{all}[59] 0.000576 0.000000 0.000000 0.001726 0.000389 1.000 2
length{all}[60] 0.000551 0.000000 0.000000 0.001805 0.000364 1.000 2
length{all}[61] 0.000561 0.000000 0.000000 0.001697 0.000370 1.000 2
length{all}[62] 0.000514 0.000000 0.000000 0.001561 0.000354 1.000 2
length{all}[63] 0.000566 0.000000 0.000000 0.001773 0.000373 1.002 2
length{all}[64] 0.000565 0.000000 0.000000 0.001706 0.000398 1.001 2
length{all}[65] 0.000532 0.000000 0.000000 0.001614 0.000353 1.001 2
length{all}[66] 0.000582 0.000000 0.000001 0.001744 0.000407 1.001 2
length{all}[67] 0.000542 0.000000 0.000000 0.001621 0.000365 1.001 2
length{all}[68] 0.001062 0.000001 0.000019 0.002649 0.000833 1.003 2
length{all}[69] 0.000558 0.000000 0.000000 0.001785 0.000366 1.000 2
length{all}[70] 0.000582 0.000000 0.000000 0.001860 0.000364 1.001 2
length{all}[71] 0.000561 0.000000 0.000000 0.001748 0.000360 1.002 2
length{all}[72] 0.000560 0.000000 0.000001 0.001719 0.000361 1.000 2
length{all}[73] 0.000560 0.000000 0.000000 0.001786 0.000358 1.002 2
length{all}[74] 0.000608 0.000000 0.000000 0.001848 0.000413 1.000 2
length{all}[75] 0.000541 0.000000 0.000000 0.001600 0.000356 1.000 2
length{all}[76] 0.000567 0.000000 0.000000 0.001756 0.000387 1.000 2
length{all}[77] 0.000533 0.000000 0.000000 0.001632 0.000367 1.000 2
length{all}[78] 0.000586 0.000000 0.000000 0.001834 0.000373 1.000 2
length{all}[79] 0.000578 0.000000 0.000000 0.001740 0.000396 1.002 2
length{all}[80] 0.000553 0.000000 0.000000 0.001634 0.000393 1.006 2
length{all}[81] 0.000532 0.000000 0.000001 0.001561 0.000372 1.001 2
length{all}[82] 0.000588 0.000000 0.000000 0.001737 0.000413 1.000 2
length{all}[83] 0.000560 0.000000 0.000000 0.001725 0.000373 1.000 2
length{all}[84] 0.000565 0.000000 0.000000 0.001692 0.000395 1.000 2
length{all}[85] 0.000599 0.000000 0.000000 0.001785 0.000424 1.000 2
length{all}[86] 0.012916 0.000014 0.006220 0.020544 0.012450 1.002 2
length{all}[87] 0.000604 0.000000 0.000000 0.001970 0.000399 1.000 2
length{all}[88] 0.000523 0.000000 0.000001 0.001565 0.000352 1.000 2
length{all}[89] 0.000535 0.000000 0.000000 0.001620 0.000350 1.001 2
length{all}[90] 0.000554 0.000000 0.000000 0.001705 0.000364 1.000 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = -nan
Maximum standard deviation of split frequencies = 0.000000
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.007
Clade credibility values:
/--------------------------------------------------------------------- C52 (1)
|
|--------------------------------------------------------------------- C65 (2)
|
|--------------------------------------------------------------------- C10 (3)
|
|--------------------------------------------------------------------- C67 (4)
|
|--------------------------------------------------------------------- C68 (5)
|
|--------------------------------------------------------------------- C9 (6)
|
|--------------------------------------------------------------------- C14 (7)
|
|--------------------------------------------------------------------- C73 (8)
|
|--------------------------------------------------------------------- C72 (9)
|
|--------------------------------------------------------------------- C17 (10)
|
|--------------------------------------------------------------------- C74 (11)
|
|--------------------------------------------------------------------- C59 (12)
|
|--------------------------------------------------------------------- C75 (13)
|
|--------------------------------------------------------------------- C16 (14)
|
|--------------------------------------------------------------------- C21 (15)
|
|--------------------------------------------------------------------- C80 (16)
|
|--------------------------------------------------------------------- C79 (17)
|
|--------------------------------------------------------------------- C24 (18)
|
|--------------------------------------------------------------------- C81 (19)
|
|--------------------------------------------------------------------- C82 (20)
|
|--------------------------------------------------------------------- C23 (21)
|
|--------------------------------------------------------------------- C28 (22)
|
|--------------------------------------------------------------------- C58 (23)
|
|--------------------------------------------------------------------- C87 (24)
|
|--------------------------------------------------------------------- C86 (25)
|
|--------------------------------------------------------------------- C31 (26)
|
|--------------------------------------------------------------------- C88 (27)
|
|--------------------------------------------------------------------- C89 (28)
|
|--------------------------------------------------------------------- C30 (29)
|
|--------------------------------------------------------------------- C35 (30)
|
|--------------------------------------------------------------------- C94 (31)
|
|--------------------------------------------------------------------- C93 (32)
|
|--------------------------------------------------------------------- C38 (33)
|
|--------------------------------------------------------------------- C3 (34)
|
|--------------------------------------------------------------------- C95 (35)
|
|--------------------------------------------------------------------- C96 (36)
|
|--------------------------------------------------------------------- C37 (37)
|
|--------------------------------------------------------------------- C42 (38)
|
|--------------------------------------------------------------------- C101 (39)
|
|--------------------------------------------------------------------- C100 (40)
|
|--------------------------------------------------------------------- C45 (41)
|
|--------------------------------------------------------------------- C102 (42)
|
|--------------------------------------------------------------------- C103 (43)
|
|--------------------------------------------------------------------- C44 (44)
|
|--------------------------------------------------------------------- C60 (45)
+
|--------------------------------------------------------------------- C49 (46)
|
|--------------------------------------------------------------------- C108 (47)
|
|--------------------------------------------------------------------- C107 (48)
|
|--------------------------------------------------------------------- C1 (49)
|
|--------------------------------------------------------------------- C109 (50)
|
|--------------------------------------------------------------------- C110 (51)
|
|--------------------------------------------------------------------- C51 (52)
|
|--------------------------------------------------------------------- C56 (53)
|
|--------------------------------------------------------------------- C115 (54)
|
|--------------------------------------------------------------------- C114 (55)
|
|--------------------------------------------------------------------- C61 (56)
|
|--------------------------------------------------------------------- C8 (57)
|
|--------------------------------------------------------------------- C116 (58)
|
|--------------------------------------------------------------------- C117 (59)
|
|--------------------------------------------------------------------- C4 (60)
|
|--------------------------------------------------------------------- C63 (61)
|
|--------------------------------------------------------------------- C122 (62)
|
|--------------------------------------------------------------------- C121 (63)
|
|--------------------------------------------------------------------- C15 (64)
|
|--------------------------------------------------------------------- C123 (65)
|
|--------------------------------------------------------------------- C124 (66)
|
|--------------------------------------------------------------------- C2 (67)
|
|--------------------------------------------------------------------- C11 (68)
|
|--------------------------------------------------------------------- C70 (69)
|
|--------------------------------------------------------------------- C129 (70)
|
|--------------------------------------------------------------------- C128 (71)
|
|--------------------------------------------------------------------- C22 (72)
|
|--------------------------------------------------------------------- C130 (73)
|
|--------------------------------------------------------------------- C131 (74)
|
|--------------------------------------------------------------------- C18 (75)
|
|--------------------------------------------------------------------- C77 (76)
|
|--------------------------------------------------------------------- C136 (77)
|
|--------------------------------------------------------------------- C7 (78)
|
|--------------------------------------------------------------------- C135 (79)
|
|--------------------------------------------------------------------- C29 (80)
|
|--------------------------------------------------------------------- C137 (81)
|
|--------------------------------------------------------------------- C138 (82)
|
|--------------------------------------------------------------------- C25 (83)
|
|--------------------------------------------------------------------- C84 (84)
|
|--------------------------------------------------------------------- C143 (85)
|
|--------------------------------------------------------------------- C142 (86)
|
|--------------------------------------------------------------------- C36 (87)
|
|--------------------------------------------------------------------- C144 (88)
|
|--------------------------------------------------------------------- C66 (89)
|
\--------------------------------------------------------------------- C145 (90)
Phylogram (based on average branch lengths):
/-- C52 (1)
|
|-- C65 (2)
|
|-- C10 (3)
|
|----- C67 (4)
|
|-- C68 (5)
|
|-- C9 (6)
|
|-- C14 (7)
|
|-- C73 (8)
|
|-- C72 (9)
|
|-- C17 (10)
|
|-- C74 (11)
|
|-- C59 (12)
|
|-- C75 (13)
|
|-- C16 (14)
|
|-- C21 (15)
|
|-- C80 (16)
|
|-- C79 (17)
|
|-- C24 (18)
|
|-- C81 (19)
|
|-- C82 (20)
|
|----- C23 (21)
|
|-- C28 (22)
|
|-- C58 (23)
|
|-- C87 (24)
|
|-- C86 (25)
|
|-- C31 (26)
|
|-- C88 (27)
|
|-- C89 (28)
|
|-- C30 (29)
|
|-- C35 (30)
|
|-- C94 (31)
|
|-- C93 (32)
|
|-- C38 (33)
|
|-- C3 (34)
|
|-- C95 (35)
|
|-- C96 (36)
|
|-- C37 (37)
|
|-- C42 (38)
|
|-- C101 (39)
|
|-- C100 (40)
|
|-- C45 (41)
|
|-- C102 (42)
|
|-- C103 (43)
|
|----- C44 (44)
|
|-- C60 (45)
+
|-- C49 (46)
|
|-- C108 (47)
|
|-- C107 (48)
|
|-- C1 (49)
|
|-- C109 (50)
|
|-- C110 (51)
|
|-- C51 (52)
|
|-- C56 (53)
|
|-- C115 (54)
|
|-- C114 (55)
|
|-- C61 (56)
|
|-- C8 (57)
|
|-- C116 (58)
|
|-- C117 (59)
|
|-- C4 (60)
|
|-- C63 (61)
|
|-- C122 (62)
|
|-- C121 (63)
|
|-- C15 (64)
|
|-- C123 (65)
|
|-- C124 (66)
|
|-- C2 (67)
|
|----- C11 (68)
|
|-- C70 (69)
|
|-- C129 (70)
|
|-- C128 (71)
|
|-- C22 (72)
|
|-- C130 (73)
|
|-- C131 (74)
|
|-- C18 (75)
|
|-- C77 (76)
|
|-- C136 (77)
|
|-- C7 (78)
|
|-- C135 (79)
|
|-- C29 (80)
|
|-- C137 (81)
|
|-- C138 (82)
|
|-- C25 (83)
|
|-- C84 (84)
|
|-- C143 (85)
|
|--------------------------------------------------------------------- C142 (86)
|
|-- C36 (87)
|
|-- C144 (88)
|
|-- C66 (89)
|
\-- C145 (90)
|----------| 0.002 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'
Running FUBAR...
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\
***************** TYPES OF STANDARD ANALYSES *****************
(1) Selection Analyses
(2) Evolutionary Hypothesis Testing
(3) Relative evolutionary rate inference
(4) Coevolutionary analysis
(5) Basic Analyses
(6) Codon Selection Analyses
(7) Compartmentalization
(8) Data File Tools
(9) Miscellaneous
(10) Model Comparison
(11) Kernel Analysis Tools
(12) Molecular Clock
(13) Phylogeny Reconstruction
(14) Positive Selection
(15) Recombination
(16) Selection/Recombination
(17) Relative Rate
(18) Relative Ratio
(19) Substitution Rates
Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' *****************
(1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution).
(2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood).
(3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting).
(4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection).
(5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification).
(6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood).
(7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation).
Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types):
Analysis Description
--------------------
Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a
coding sequence alignment to determine whether some sites have been
subject to pervasive purifying or diversifying selection. v2.1
introduces two more methods for estimating the posterior distribution of
grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation
Bayes approximation (fastest). Please note that a FUBAR analysis
generates a cache and a results JSON file in the same directory as
directory as the original alignment. HyPhy needs to have write
privileges to this directory. For example if the original file is in
/home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there
will also exist FUBAR-generated files
/home/sergei/FUBAR/data/pol.nex.FUBAR.json,
/home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide
checkpointing so that a partially completed analysis can be restarted.
- __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree
(one per partition)
- __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring
selection (2013), Mol Biol Evol. 30(5):1196-205
- __Written by__: Sergei L Kosakovsky Pond
- __Contact Information__: spond@temple.edu
- __Analysis Version__: 2.1
####Choose Genetic Code
1. [**Universal**] Universal code. (Genebank transl_table=1).
2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2).
3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3).
4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4).
5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5).
6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6).
7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9).
8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10).
9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12).
10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13).
11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14).
12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15).
13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16).
14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21).
15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22).
16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23).
17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24).
18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25).
19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26).
>Please choose an option (or press q to cancel selection):
>Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`)
>A tree was found in the data file: `(C52,C65,C10,C67,C68,C9,C14,C73,C72,C17,C74,C59,C75,C16,C21,C80,C79,C24,C81,C82,C23,C28,C58,C87,C86,C31,C88,C89,C30,C35,C94,C93,C38,C3,C95,C96,C37,C42,C101,C100,C45,C102,C103,C44,C60,C49,C108,C107,C1,C109,C110,C51,C56,C115,C114,C61,C8,C116,C117,C4,C63,C122,C121,C15,C123,C124,C2,C11,C70,C129,C128,C22,C130,C131,C18,C77,C136,C7,C135,C29,C137,C138,C25,C84,C143,C142,C36,C144,C66,C145)`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **90** sequences, **82** codons, and **1** partitions from `/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna.FUBAR.json_, respectively
> Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer):
####Posterior estimation method
1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation)
2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed)
3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default)
>Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5):
### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model
* Log(L) = -460.57, AIC-c = 1118.01 (98 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.112
### Computing the phylogenetic likelihood function on the grid
* Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid
* Best scaling achieved for
* synonymous rate = 2.815
* non-synonymous rate = 0.714
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
----
## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.20 sec, SCORE=1000, Nseq=90, Len=82
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS2 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS9 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS0 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS1 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS0 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS7 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS3 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS2 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS7 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS1 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS0 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS9 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS1 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS2 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS3 MLPFVQERVGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS7 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS1 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS9 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS0 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS3 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS7 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS2 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS01 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS00 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS02 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS03 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS9 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS08 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS07 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS09 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS10 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS1 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS15 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS14 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS16 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS17 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS3 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS22 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS21 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS23 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS24 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS1 MLPFVQERIGLFIVKFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS0 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS29 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS28 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS2 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS30 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS31 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS8 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS7 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS36 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS35 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS9 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS37 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS38 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS5 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS4 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS43 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS42 MLPFVQQQIGSFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCITGVNTL
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS6 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS44 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS45 MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL
******:::* ***:****************************:**.***
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS2 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS9 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS0 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS0 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS7 LVQPALYLYNTGRSVYVKFQDSKPPLPSDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS3 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS2 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS7 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS0 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS9 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS2 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS3 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS7 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS9 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS0 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS3 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS7 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS2 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS01 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS00 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS02 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS03 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPHEWV
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS9 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS08 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS07 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS09 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS10 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_30_2014_E_AIY60553_1_2014_04_19_UAE_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS15 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS14 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS16 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS17 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_8_2014_E_AIY60523_1_2014_04_07_UAE_Human_MERS3 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS22 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS21 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS23 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS24 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS1 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS0 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS29 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS28 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS2 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS30 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS31 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS8 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS7 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS36 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS35 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS9 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS37 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS38 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS5 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS4 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS43 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS42 LVQPAVYMYNTGRSVYVKFQESKPPLPPEEWV
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS6 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS44 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS45 LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
*****:*:************:******..***
>HCoV_EMC_E_AFS88941_1_2012_06_13_NA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_France_FRA2_130569_2013_Isolate_Sanger_NA_AIZ74456_1_2013_05_07_France_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74443_1_2013_05_07_France_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Hufuf_KSA_11002_2015_E_ALW82663_1_2015_05_10_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Hufuf_KSA_9158_2015_E_ALW82674_1_2015_03_27_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Jordan_201440011123_2014_E_ALX27248_1_2014_04_21_Jordan_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Jeddah_KSA_C20860_2015_E_ALW82758_1_2015_02_10_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_15_2013_NA_AGV08551_1_2013_05_11_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Jordan_20140010168_2014_E_ALX27237_1_2014_01_22_Jordan_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCATCTGACGAGTGGGTT >Hu_Kharj_KSA_2598_2015_E_ALW82736_1_2015_02_02_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_19_2013_NA_AGV08485_1_2013_05_23_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Oman_2285_2013_E_AKM76234_1_2013_10_28_Oman_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Oman_2874_2013_E_AKM76244_1_2013_12_28_Oman_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_25_2013_NA_AHI48522_1_2013_05_02_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_16098_2015_E_AMQ49075_1_2015_08_24_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_16077_2015_E_AMQ49064_1_2015_08_27_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_21_2013_NA_AGV08497_1_2013_05_30_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_4_2013_NA_AGN70934_1_2013_05_01_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_2343_2015_NA_AKI29270_1_2015_01_21_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_16121_2015_E_AMQ49031_1_2015_08_24_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D1164_11_2014_NA_AJG44085_1_2014_06_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_2345_2015_NA_AKI29260_1_2015_01_21_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_2716_2015_E_ALW82714_1_2015_02_05_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Buraidah_1_2013_NA_AGV08472_1_2013_05_13_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAGTAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D1209_2014_NA_AJG44129_1_NA_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Taif_KSA_7032_2014_E_AMQ48998_1_2014_11_04_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D469_14_E_ALT66885_1_2014_03_04_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Taif_KSA_7032_2014_S530del_E_AMQ49009_1_2014_11_04_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Indiana_USA_1_SA_2014_E_AHZ58506_1_2014_04_30_USA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D1339_2_2014_NA_AJG44107_1_2014_06_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >D1164_1_14_E_ANI69829_1_2014_06_02_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Jeddah_C8826_KSA_2014_04_12_NA_AIL23950_1_2014_04_12_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Jeddah_C7569_KSA_2014_04_03_NA_AIL23928_1_2014_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >D252_15_E_ANI69851_1_2015_01_30_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Jeddah_C7770_KSA_2014_04_07_NA_AIL23939_1_2014_04_07_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Jeddah_C9055_KSA_2014_04_14_NA_AIL23961_1_2014_04_14_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >D1271_15_E_ANI69916_1_2015_05_29_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >D389_15_E_ANI69883_1_2015_02_15_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFMC_2_NA_AKN24799_1_2014_05_11_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFMC_3_NA_AKN24763_1_2014_05_09_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >England_1_E_AFY13312_1_2012_09_11_UK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFMC_4_NA_AKN24781_1_2014_05_12_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFMC_5_NA_AKN24754_1_2014_05_12_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >D998_15_E_ANI69894_1_2015_04_23_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTCACGAGTGGGTT >England_4_2013_NA_AJD81445_1_2013_02_13_UK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFU_HKU_13_NA_AHX00716_1_2013_12_30_SA_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFMC_8_NA_AKN24817_1_2014_04_30_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KFU_HKU_19Dam_NA_AHX00726_1_2013_12_30_SA_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KOREA_Seoul_014_1_2015_NA_ALB08272_1_2015_05_31_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Florida_USA_2_SA_2014_E_AHZ64062_1_2014_05_10_USA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_France_UAE_FRA1_1627_2013_BAL_Sanger_NA_AIZ74422_1_2013_04_26_France_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KOREA_Seoul_035_1_2015_NA_ALB08294_1_2015_06_03_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KOREA_Seoul_014_2_2015_NA_ALB08283_1_2015_06_13_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KOREA_Seoul_168_1_2015_NA_ALB08316_1_2015_06_21_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KOREA_Seoul_168_2_2015_NA_ALB08327_1_2015_06_24_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Jeddah_KSA_3RS2702_2015_E_AMQ49020_1_2015_07_12_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KSA_1725_NA_ALL26401_1_2014_09_SA_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KSA_CAMEL_376_NA_AHY22569_1_2013_11_SA_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_1_2013_NA_AGN70967_1_2013_05_09_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >KSA_CAMEL_378_NA_AHY22539_1_2013_11_SA_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Korea_Seoul_SNU1_035_2015_NA_AML60275_1_2015_06_08_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_16_2013_NA_AGV08540_1_2013_05_12_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAAATTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Najran_KSA_C20915_2015_E_ALW82747_1_2015_02_13_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_Jeddah_human_1_NA_AHE78115_1_2013_11_05_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_KOR_Seoul_050_1_2015_E_ANC28650_1_2015_06_11_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_Qatar_2_2014_NA_AHX71951_1_2014_02_16_Qatar_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_KOR_KNIH_002_05_2015_NA_AKL59406_1_2015_05_20_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_KOR_Seoul_066_2015_E_ANC28661_1_2015_06_04_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Al_Hasa_3_2013_NA_AGN70978_1_2013_04_22_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_16120_2015_E_AMQ49042_1_2015_08_24_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Munich_NA_AGN72644_1_2013_UAE_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_KOR_Seoul_169_2015_E_ANC28705_1_2015_06_26_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D1243_12_2014_NA_AJG44118_1_2014_06_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23983_1_2014_04_15_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >MERS_CoV_KOR_Seoul_177_3_2015_E_ANC28716_1_2015_07_03_SK_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Camel_UAE_D1164_10_2014_NA_AJG44074_1_2014_06_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Hu_Riyadh_KSA_2959_2015_E_AKK52607_1_2015_02_10_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Riyadh_14_2013_NA_AHI48577_1_2013_08_15_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Neoromicia_PML_PHE1_RSA_2011_E_AIG13101_1_2011_South_Africa_Bat_MERS ATGTTACCCTTTGTCCAACAACAAATTGGGTCATTCATAGTAAACTTTTTCATCTTTACCGTAGTATGTGCTATTACCCTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGCATAACAGGTGTTAACACCCTGTTAGTTCAGCCCGCAGTTTATATGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGAGAGTAAACCCCCTCTACCTCCCGAAGAGTGGGTT >D1189_1_15_E_ANI69927_1_2015_05_18_UAE_Camel_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Riyadh_2_2012_NA_AGV08589_1_2012_10_30_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT >Riyadh_1_2012_NA_AGV08384_1_2012_10_23_SA_Human_MERS ATGTTACCCTTTGTCCAAGAACGAATAGGGTTGTTCATAGTAAACTTTTTCATTTTTACCGTAGTATGTGCTATAACACTCTTGGTGTGTATGGCTTTCCTTACGGCTACTAGATTATGTGTGCAATGTATGACAGGCTTCAATACCCTGTTAGTTCAGCCCGCATTATACTTGTATAATACTGGACGTTCAGTCTATGTAAAATTCCAGGATAGTAAACCCCCTCTACCACCTGACGAGTGGGTT
>HCoV_EMC_E_AFS88941_1_2012_06_13_NA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_France_FRA2_130569_2013_Isolate_Sanger_NA_AIZ74456_1_2013_05_07_France_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74443_1_2013_05_07_France_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Hufuf_KSA_11002_2015_E_ALW82663_1_2015_05_10_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Hufuf_KSA_9158_2015_E_ALW82674_1_2015_03_27_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Jordan_201440011123_2014_E_ALX27248_1_2014_04_21_Jordan_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Jeddah_KSA_C20860_2015_E_ALW82758_1_2015_02_10_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_15_2013_NA_AGV08551_1_2013_05_11_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Jordan_20140010168_2014_E_ALX27237_1_2014_01_22_Jordan_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPSDEWV >Hu_Kharj_KSA_2598_2015_E_ALW82736_1_2015_02_02_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_19_2013_NA_AGV08485_1_2013_05_23_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Oman_2285_2013_E_AKM76234_1_2013_10_28_Oman_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Oman_2874_2013_E_AKM76244_1_2013_12_28_Oman_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_25_2013_NA_AHI48522_1_2013_05_02_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_16098_2015_E_AMQ49075_1_2015_08_24_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_16077_2015_E_AMQ49064_1_2015_08_27_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_21_2013_NA_AGV08497_1_2013_05_30_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_4_2013_NA_AGN70934_1_2013_05_01_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_2343_2015_NA_AKI29270_1_2015_01_21_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_16121_2015_E_AMQ49031_1_2015_08_24_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D1164_11_2014_NA_AJG44085_1_2014_06_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_2345_2015_NA_AKI29260_1_2015_01_21_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_2716_2015_E_ALW82714_1_2015_02_05_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Buraidah_1_2013_NA_AGV08472_1_2013_05_13_SA_Human_MERS MLPFVQERVGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D1209_2014_NA_AJG44129_1_NA_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Taif_KSA_7032_2014_E_AMQ48998_1_2014_11_04_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D469_14_E_ALT66885_1_2014_03_04_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Taif_KSA_7032_2014_S530del_E_AMQ49009_1_2014_11_04_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Indiana_USA_1_SA_2014_E_AHZ58506_1_2014_04_30_USA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D1339_2_2014_NA_AJG44107_1_2014_06_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >D1164_1_14_E_ANI69829_1_2014_06_02_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Jeddah_C8826_KSA_2014_04_12_NA_AIL23950_1_2014_04_12_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Jeddah_C7569_KSA_2014_04_03_NA_AIL23928_1_2014_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >D252_15_E_ANI69851_1_2015_01_30_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Jeddah_C7770_KSA_2014_04_07_NA_AIL23939_1_2014_04_07_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Jeddah_C9055_KSA_2014_04_14_NA_AIL23961_1_2014_04_14_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >D1271_15_E_ANI69916_1_2015_05_29_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >D389_15_E_ANI69883_1_2015_02_15_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFMC_2_NA_AKN24799_1_2014_05_11_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFMC_3_NA_AKN24763_1_2014_05_09_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >England_1_E_AFY13312_1_2012_09_11_UK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFMC_4_NA_AKN24781_1_2014_05_12_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFMC_5_NA_AKN24754_1_2014_05_12_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >D998_15_E_ANI69894_1_2015_04_23_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPHEWV >England_4_2013_NA_AJD81445_1_2013_02_13_UK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFU_HKU_13_NA_AHX00716_1_2013_12_30_SA_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFMC_8_NA_AKN24817_1_2014_04_30_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KFU_HKU_19Dam_NA_AHX00726_1_2013_12_30_SA_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KOREA_Seoul_014_1_2015_NA_ALB08272_1_2015_05_31_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Florida_USA_2_SA_2014_E_AHZ64062_1_2014_05_10_USA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_France_UAE_FRA1_1627_2013_BAL_Sanger_NA_AIZ74422_1_2013_04_26_France_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KOREA_Seoul_035_1_2015_NA_ALB08294_1_2015_06_03_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KOREA_Seoul_014_2_2015_NA_ALB08283_1_2015_06_13_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KOREA_Seoul_168_1_2015_NA_ALB08316_1_2015_06_21_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KOREA_Seoul_168_2_2015_NA_ALB08327_1_2015_06_24_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Jeddah_KSA_3RS2702_2015_E_AMQ49020_1_2015_07_12_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KSA_1725_NA_ALL26401_1_2014_09_SA_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KSA_CAMEL_376_NA_AHY22569_1_2013_11_SA_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_1_2013_NA_AGN70967_1_2013_05_09_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >KSA_CAMEL_378_NA_AHY22539_1_2013_11_SA_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Korea_Seoul_SNU1_035_2015_NA_AML60275_1_2015_06_08_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_16_2013_NA_AGV08540_1_2013_05_12_SA_Human_MERS MLPFVQERIGLFIVKFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Najran_KSA_C20915_2015_E_ALW82747_1_2015_02_13_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_Jeddah_human_1_NA_AHE78115_1_2013_11_05_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_KOR_Seoul_050_1_2015_E_ANC28650_1_2015_06_11_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_Qatar_2_2014_NA_AHX71951_1_2014_02_16_Qatar_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_KOR_KNIH_002_05_2015_NA_AKL59406_1_2015_05_20_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_KOR_Seoul_066_2015_E_ANC28661_1_2015_06_04_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Al_Hasa_3_2013_NA_AGN70978_1_2013_04_22_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_16120_2015_E_AMQ49042_1_2015_08_24_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Munich_NA_AGN72644_1_2013_UAE_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_KOR_Seoul_169_2015_E_ANC28705_1_2015_06_26_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D1243_12_2014_NA_AJG44118_1_2014_06_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23983_1_2014_04_15_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >MERS_CoV_KOR_Seoul_177_3_2015_E_ANC28716_1_2015_07_03_SK_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Camel_UAE_D1164_10_2014_NA_AJG44074_1_2014_06_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Hu_Riyadh_KSA_2959_2015_E_AKK52607_1_2015_02_10_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Riyadh_14_2013_NA_AHI48577_1_2013_08_15_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Neoromicia_PML_PHE1_RSA_2011_E_AIG13101_1_2011_South_Africa_Bat_MERS MLPFVQQQIGSFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCITGVNTL LVQPAVYMYNTGRSVYVKFQESKPPLPPEEWV >D1189_1_15_E_ANI69927_1_2015_05_18_UAE_Camel_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Riyadh_2_2012_NA_AGV08589_1_2012_10_30_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV >Riyadh_1_2012_NA_AGV08384_1_2012_10_23_SA_Human_MERS MLPFVQERIGLFIVNFFIFTVVCAITLLVCMAFLTATRLCVQCMTGFNTL LVQPALYLYNTGRSVYVKFQDSKPPLPPDEWV
Reading sequence file /data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/fasta/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1 Found 90 sequences of length 246 Alignment looks like a valid DNA alignment. Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.2% Found 0 informative sites. Writing alignment of informative sites to: Phi.inf.sites Writing list of informative sites to: Phi.inf.list Calculating all pairwise incompatibilities... 100.0% Using a window size of 80 with k as 1 Too few informative sites to use normal approximation. Try doing a permutation test or increasing alignment length Can also try decreasing windowsize.
#NEXUS
[ID: 4264159696]
begin taxa;
dimensions ntax=90;
taxlabels
HCoV_EMC_E_AFS88941_1_2012_06_13_NA_Human_MERS
Hu_Jeddah_KSA_C20860_2015_E_ALW82758_1_2015_02_10_SA_Human_MERS
Al_Hasa_15_2013_NA_AGV08551_1_2013_05_11_SA_Human_MERS
Hu_Jordan_20140010168_2014_E_ALX27237_1_2014_01_22_Jordan_Human_MERS
Hu_Kharj_KSA_2598_2015_E_ALW82736_1_2015_02_02_SA_Human_MERS
Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS
Al_Hasa_19_2013_NA_AGV08485_1_2013_05_23_SA_Human_MERS
Hu_Oman_2285_2013_E_AKM76234_1_2013_10_28_Oman_Human_MERS
Hu_Oman_2874_2013_E_AKM76244_1_2013_12_28_Oman_Human_MERS
Al_Hasa_25_2013_NA_AHI48522_1_2013_05_02_SA_Human_MERS
Hu_Riyadh_KSA_16098_2015_E_AMQ49075_1_2015_08_24_SA_Human_MERS
Hu_France_FRA2_130569_2013_Isolate_Sanger_NA_AIZ74456_1_2013_05_07_France_Human_MERS
Hu_Riyadh_KSA_16077_2015_E_AMQ49064_1_2015_08_27_SA_Human_MERS
Al_Hasa_21_2013_NA_AGV08497_1_2013_05_30_SA_Human_MERS
Al_Hasa_4_2013_NA_AGN70934_1_2013_05_01_SA_Human_MERS
Hu_Riyadh_KSA_2343_2015_NA_AKI29270_1_2015_01_21_SA_Human_MERS
Hu_Riyadh_KSA_16121_2015_E_AMQ49031_1_2015_08_24_SA_Human_MERS
Camel_UAE_D1164_11_2014_NA_AJG44085_1_2014_06_UAE_Camel_MERS
Hu_Riyadh_KSA_2345_2015_NA_AKI29260_1_2015_01_21_SA_Human_MERS
Hu_Riyadh_KSA_2716_2015_E_ALW82714_1_2015_02_05_SA_Human_MERS
Buraidah_1_2013_NA_AGV08472_1_2013_05_13_SA_Human_MERS
Camel_UAE_D1209_2014_NA_AJG44129_1_NA_UAE_Camel_MERS
Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74443_1_2013_05_07_France_Human_MERS
Hu_Taif_KSA_7032_2014_E_AMQ48998_1_2014_11_04_SA_Human_MERS
Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS
Camel_UAE_D469_14_E_ALT66885_1_2014_03_04_UAE_Camel_MERS
Hu_Taif_KSA_7032_2014_S530del_E_AMQ49009_1_2014_11_04_SA_Human_MERS
Indiana_USA_1_SA_2014_E_AHZ58506_1_2014_04_30_USA_Human_MERS
Camel_UAE_D1339_2_2014_NA_AJG44107_1_2014_06_UAE_Camel_MERS
D1164_1_14_E_ANI69829_1_2014_06_02_UAE_Camel_MERS
Jeddah_C8826_KSA_2014_04_12_NA_AIL23950_1_2014_04_12_SA_Human_MERS
Jeddah_C7569_KSA_2014_04_03_NA_AIL23928_1_2014_SA_Human_MERS
D252_15_E_ANI69851_1_2015_01_30_UAE_Camel_MERS
Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS
Jeddah_C7770_KSA_2014_04_07_NA_AIL23939_1_2014_04_07_SA_Human_MERS
Jeddah_C9055_KSA_2014_04_14_NA_AIL23961_1_2014_04_14_SA_Human_MERS
D1271_15_E_ANI69916_1_2015_05_29_UAE_Camel_MERS
D389_15_E_ANI69883_1_2015_02_15_UAE_Camel_MERS
KFMC_2_NA_AKN24799_1_2014_05_11_SA_Human_MERS
KFMC_3_NA_AKN24763_1_2014_05_09_SA_Human_MERS
England_1_E_AFY13312_1_2012_09_11_UK_Human_MERS
KFMC_4_NA_AKN24781_1_2014_05_12_SA_Human_MERS
KFMC_5_NA_AKN24754_1_2014_05_12_SA_Human_MERS
D998_15_E_ANI69894_1_2015_04_23_UAE_Camel_MERS
Hu_Hufuf_KSA_11002_2015_E_ALW82663_1_2015_05_10_SA_Human_MERS
England_4_2013_NA_AJD81445_1_2013_02_13_UK_Human_MERS
KFU_HKU_13_NA_AHX00716_1_2013_12_30_SA_Camel_MERS
KFMC_8_NA_AKN24817_1_2014_04_30_SA_Human_MERS
Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS
KFU_HKU_19Dam_NA_AHX00726_1_2013_12_30_SA_Camel_MERS
KOREA_Seoul_014_1_2015_NA_ALB08272_1_2015_05_31_SK_Human_MERS
Florida_USA_2_SA_2014_E_AHZ64062_1_2014_05_10_USA_Human_MERS
Hu_France_UAE_FRA1_1627_2013_BAL_Sanger_NA_AIZ74422_1_2013_04_26_France_Human_MERS
KOREA_Seoul_035_1_2015_NA_ALB08294_1_2015_06_03_SK_Human_MERS
KOREA_Seoul_014_2_2015_NA_ALB08283_1_2015_06_13_SK_Human_MERS
Hu_Hufuf_KSA_9158_2015_E_ALW82674_1_2015_03_27_SA_Human_MERS
Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS
KOREA_Seoul_168_1_2015_NA_ALB08316_1_2015_06_21_SK_Human_MERS
KOREA_Seoul_168_2_2015_NA_ALB08327_1_2015_06_24_SK_Human_MERS
Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS
Hu_Jeddah_KSA_3RS2702_2015_E_AMQ49020_1_2015_07_12_SA_Human_MERS
KSA_1725_NA_ALL26401_1_2014_09_SA_Camel_MERS
KSA_CAMEL_376_NA_AHY22569_1_2013_11_SA_Camel_MERS
Al_Hasa_1_2013_NA_AGN70967_1_2013_05_09_SA_Human_MERS
KSA_CAMEL_378_NA_AHY22539_1_2013_11_SA_Camel_MERS
Korea_Seoul_SNU1_035_2015_NA_AML60275_1_2015_06_08_SK_Human_MERS
Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS
Al_Hasa_16_2013_NA_AGV08540_1_2013_05_12_SA_Human_MERS
Hu_Najran_KSA_C20915_2015_E_ALW82747_1_2015_02_13_SA_Human_MERS
MERS_CoV_Jeddah_human_1_NA_AHE78115_1_2013_11_05_SA_Human_MERS
MERS_CoV_KOR_Seoul_050_1_2015_E_ANC28650_1_2015_06_11_SK_Human_MERS
Camel_Qatar_2_2014_NA_AHX71951_1_2014_02_16_Qatar_Camel_MERS
MERS_CoV_KOR_KNIH_002_05_2015_NA_AKL59406_1_2015_05_20_SK_Human_MERS
MERS_CoV_KOR_Seoul_066_2015_E_ANC28661_1_2015_06_04_SK_Human_MERS
Al_Hasa_3_2013_NA_AGN70978_1_2013_04_22_SA_Human_MERS
Hu_Riyadh_KSA_16120_2015_E_AMQ49042_1_2015_08_24_SA_Human_MERS
Munich_NA_AGN72644_1_2013_UAE_Human_MERS
Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS
MERS_CoV_KOR_Seoul_169_2015_E_ANC28705_1_2015_06_26_SK_Human_MERS
Camel_UAE_D1243_12_2014_NA_AJG44118_1_2014_06_UAE_Camel_MERS
Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23983_1_2014_04_15_SA_Human_MERS
MERS_CoV_KOR_Seoul_177_3_2015_E_ANC28716_1_2015_07_03_SK_Human_MERS
Camel_UAE_D1164_10_2014_NA_AJG44074_1_2014_06_UAE_Camel_MERS
Hu_Riyadh_KSA_2959_2015_E_AKK52607_1_2015_02_10_SA_Human_MERS
Riyadh_14_2013_NA_AHI48577_1_2013_08_15_SA_Human_MERS
Neoromicia_PML_PHE1_RSA_2011_E_AIG13101_1_2011_South_Africa_Bat_MERS
D1189_1_15_E_ANI69927_1_2015_05_18_UAE_Camel_MERS
Riyadh_2_2012_NA_AGV08589_1_2012_10_30_SA_Human_MERS
Hu_Jordan_201440011123_2014_E_ALX27248_1_2014_04_21_Jordan_Human_MERS
Riyadh_1_2012_NA_AGV08384_1_2012_10_23_SA_Human_MERS
;
end;
begin trees;
translate
1 HCoV_EMC_E_AFS88941_1_2012_06_13_NA_Human_MERS,
2 Hu_Jeddah_KSA_C20860_2015_E_ALW82758_1_2015_02_10_SA_Human_MERS,
3 Al_Hasa_15_2013_NA_AGV08551_1_2013_05_11_SA_Human_MERS,
4 Hu_Jordan_20140010168_2014_E_ALX27237_1_2014_01_22_Jordan_Human_MERS,
5 Hu_Kharj_KSA_2598_2015_E_ALW82736_1_2015_02_02_SA_Human_MERS,
6 Abu_Dhabi_UAE_9_2013_E_AIY60583_1_2013_11_15_UAE_Human_MERS,
7 Al_Hasa_19_2013_NA_AGV08485_1_2013_05_23_SA_Human_MERS,
8 Hu_Oman_2285_2013_E_AKM76234_1_2013_10_28_Oman_Human_MERS,
9 Hu_Oman_2874_2013_E_AKM76244_1_2013_12_28_Oman_Human_MERS,
10 Al_Hasa_25_2013_NA_AHI48522_1_2013_05_02_SA_Human_MERS,
11 Hu_Riyadh_KSA_16098_2015_E_AMQ49075_1_2015_08_24_SA_Human_MERS,
12 Hu_France_FRA2_130569_2013_Isolate_Sanger_NA_AIZ74456_1_2013_05_07_France_Human_MERS,
13 Hu_Riyadh_KSA_16077_2015_E_AMQ49064_1_2015_08_27_SA_Human_MERS,
14 Al_Hasa_21_2013_NA_AGV08497_1_2013_05_30_SA_Human_MERS,
15 Al_Hasa_4_2013_NA_AGN70934_1_2013_05_01_SA_Human_MERS,
16 Hu_Riyadh_KSA_2343_2015_NA_AKI29270_1_2015_01_21_SA_Human_MERS,
17 Hu_Riyadh_KSA_16121_2015_E_AMQ49031_1_2015_08_24_SA_Human_MERS,
18 Camel_UAE_D1164_11_2014_NA_AJG44085_1_2014_06_UAE_Camel_MERS,
19 Hu_Riyadh_KSA_2345_2015_NA_AKI29260_1_2015_01_21_SA_Human_MERS,
20 Hu_Riyadh_KSA_2716_2015_E_ALW82714_1_2015_02_05_SA_Human_MERS,
21 Buraidah_1_2013_NA_AGV08472_1_2013_05_13_SA_Human_MERS,
22 Camel_UAE_D1209_2014_NA_AJG44129_1_NA_UAE_Camel_MERS,
23 Hu_France_FRA2_130569_2013_InSpu_Sanger_NA_AIZ74443_1_2013_05_07_France_Human_MERS,
24 Hu_Taif_KSA_7032_2014_E_AMQ48998_1_2014_11_04_SA_Human_MERS,
25 Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS,
26 Camel_UAE_D469_14_E_ALT66885_1_2014_03_04_UAE_Camel_MERS,
27 Hu_Taif_KSA_7032_2014_S530del_E_AMQ49009_1_2014_11_04_SA_Human_MERS,
28 Indiana_USA_1_SA_2014_E_AHZ58506_1_2014_04_30_USA_Human_MERS,
29 Camel_UAE_D1339_2_2014_NA_AJG44107_1_2014_06_UAE_Camel_MERS,
30 D1164_1_14_E_ANI69829_1_2014_06_02_UAE_Camel_MERS,
31 Jeddah_C8826_KSA_2014_04_12_NA_AIL23950_1_2014_04_12_SA_Human_MERS,
32 Jeddah_C7569_KSA_2014_04_03_NA_AIL23928_1_2014_SA_Human_MERS,
33 D252_15_E_ANI69851_1_2015_01_30_UAE_Camel_MERS,
34 Abu_Dhabi_UAE_16_2014_E_AIY60543_1_2014_04_10_UAE_Human_MERS,
35 Jeddah_C7770_KSA_2014_04_07_NA_AIL23939_1_2014_04_07_SA_Human_MERS,
36 Jeddah_C9055_KSA_2014_04_14_NA_AIL23961_1_2014_04_14_SA_Human_MERS,
37 D1271_15_E_ANI69916_1_2015_05_29_UAE_Camel_MERS,
38 D389_15_E_ANI69883_1_2015_02_15_UAE_Camel_MERS,
39 KFMC_2_NA_AKN24799_1_2014_05_11_SA_Human_MERS,
40 KFMC_3_NA_AKN24763_1_2014_05_09_SA_Human_MERS,
41 England_1_E_AFY13312_1_2012_09_11_UK_Human_MERS,
42 KFMC_4_NA_AKN24781_1_2014_05_12_SA_Human_MERS,
43 KFMC_5_NA_AKN24754_1_2014_05_12_SA_Human_MERS,
44 D998_15_E_ANI69894_1_2015_04_23_UAE_Camel_MERS,
45 Hu_Hufuf_KSA_11002_2015_E_ALW82663_1_2015_05_10_SA_Human_MERS,
46 England_4_2013_NA_AJD81445_1_2013_02_13_UK_Human_MERS,
47 KFU_HKU_13_NA_AHX00716_1_2013_12_30_SA_Camel_MERS,
48 KFMC_8_NA_AKN24817_1_2014_04_30_SA_Human_MERS,
49 Abu_Dhabi_Gayathi_UAE_2_2014_E_AIY60563_1_2014_03_07_UAE_Human_MERS,
50 KFU_HKU_19Dam_NA_AHX00726_1_2013_12_30_SA_Camel_MERS,
51 KOREA_Seoul_014_1_2015_NA_ALB08272_1_2015_05_31_SK_Human_MERS,
52 Florida_USA_2_SA_2014_E_AHZ64062_1_2014_05_10_USA_Human_MERS,
53 Hu_France_UAE_FRA1_1627_2013_BAL_Sanger_NA_AIZ74422_1_2013_04_26_France_Human_MERS,
54 KOREA_Seoul_035_1_2015_NA_ALB08294_1_2015_06_03_SK_Human_MERS,
55 KOREA_Seoul_014_2_2015_NA_ALB08283_1_2015_06_13_SK_Human_MERS,
56 Hu_Hufuf_KSA_9158_2015_E_ALW82674_1_2015_03_27_SA_Human_MERS,
57 Al_Hasa_12_2013_NA_AGV08449_1_2013_05_07_SA_Human_MERS,
58 KOREA_Seoul_168_1_2015_NA_ALB08316_1_2015_06_21_SK_Human_MERS,
59 KOREA_Seoul_168_2_2015_NA_ALB08327_1_2015_06_24_SK_Human_MERS,
60 Abu_Dhabi_UAE_26_2014_E_AIY60593_1_2014_04_13_UAE_Human_MERS,
61 Hu_Jeddah_KSA_3RS2702_2015_E_AMQ49020_1_2015_07_12_SA_Human_MERS,
62 KSA_1725_NA_ALL26401_1_2014_09_SA_Camel_MERS,
63 KSA_CAMEL_376_NA_AHY22569_1_2013_11_SA_Camel_MERS,
64 Al_Hasa_1_2013_NA_AGN70967_1_2013_05_09_SA_Human_MERS,
65 KSA_CAMEL_378_NA_AHY22539_1_2013_11_SA_Camel_MERS,
66 Korea_Seoul_SNU1_035_2015_NA_AML60275_1_2015_06_08_SK_Human_MERS,
67 Abu_Dhabi_UAE_18_2014_E_AIY60533_1_2014_04_10_UAE_Human_MERS,
68 Al_Hasa_16_2013_NA_AGV08540_1_2013_05_12_SA_Human_MERS,
69 Hu_Najran_KSA_C20915_2015_E_ALW82747_1_2015_02_13_SA_Human_MERS,
70 MERS_CoV_Jeddah_human_1_NA_AHE78115_1_2013_11_05_SA_Human_MERS,
71 MERS_CoV_KOR_Seoul_050_1_2015_E_ANC28650_1_2015_06_11_SK_Human_MERS,
72 Camel_Qatar_2_2014_NA_AHX71951_1_2014_02_16_Qatar_Camel_MERS,
73 MERS_CoV_KOR_KNIH_002_05_2015_NA_AKL59406_1_2015_05_20_SK_Human_MERS,
74 MERS_CoV_KOR_Seoul_066_2015_E_ANC28661_1_2015_06_04_SK_Human_MERS,
75 Al_Hasa_3_2013_NA_AGN70978_1_2013_04_22_SA_Human_MERS,
76 Hu_Riyadh_KSA_16120_2015_E_AMQ49042_1_2015_08_24_SA_Human_MERS,
77 Munich_NA_AGN72644_1_2013_UAE_Human_MERS,
78 Abu_Dhabi_UAE_33_2014_E_AIY60573_1_2014_04_17_UAE_Human_MERS,
79 MERS_CoV_KOR_Seoul_169_2015_E_ANC28705_1_2015_06_26_SK_Human_MERS,
80 Camel_UAE_D1243_12_2014_NA_AJG44118_1_2014_06_UAE_Camel_MERS,
81 Makkah_C9355_KSA_Makkah_2014_04_15_NA_AIL23983_1_2014_04_15_SA_Human_MERS,
82 MERS_CoV_KOR_Seoul_177_3_2015_E_ANC28716_1_2015_07_03_SK_Human_MERS,
83 Camel_UAE_D1164_10_2014_NA_AJG44074_1_2014_06_UAE_Camel_MERS,
84 Hu_Riyadh_KSA_2959_2015_E_AKK52607_1_2015_02_10_SA_Human_MERS,
85 Riyadh_14_2013_NA_AHI48577_1_2013_08_15_SA_Human_MERS,
86 Neoromicia_PML_PHE1_RSA_2011_E_AIG13101_1_2011_South_Africa_Bat_MERS,
87 D1189_1_15_E_ANI69927_1_2015_05_18_UAE_Camel_MERS,
88 Riyadh_2_2012_NA_AGV08589_1_2012_10_30_SA_Human_MERS,
89 Hu_Jordan_201440011123_2014_E_ALX27248_1_2014_04_21_Jordan_Human_MERS,
90 Riyadh_1_2012_NA_AGV08384_1_2012_10_23_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 = (1:3.845307e-04,2:3.490555e-04,3:3.560184e-04,4:8.657911e-04,5:3.741507e-04,6:3.631187e-04,7:3.506813e-04,8:3.769352e-04,9:3.835856e-04,10:4.008564e-04,11:3.730487e-04,12:3.682972e-04,13:4.164486e-04,14:3.489572e-04,15:3.669434e-04,16:3.640039e-04,17:3.985387e-04,18:3.806073e-04,19:3.791317e-04,20:3.621523e-04,21:9.570897e-04,22:3.808951e-04,23:3.691425e-04,24:3.391358e-04,25:3.494206e-04,26:3.702505e-04,27:3.859481e-04,28:3.605536e-04,29:3.669457e-04,30:4.098400e-04,31:3.694022e-04,32:3.593744e-04,33:4.229508e-04,34:3.981416e-04,35:3.852133e-04,36:3.622347e-04,37:3.688251e-04,38:3.820593e-04,39:3.982187e-04,40:3.633713e-04,41:3.564283e-04,42:3.509089e-04,43:3.898878e-04,44:9.856715e-04,45:4.314020e-04,46:3.630032e-04,47:3.771663e-04,48:3.429224e-04,49:3.881826e-04,50:3.618961e-04,51:3.663957e-04,52:3.763362e-04,53:3.910865e-04,54:3.927254e-04,55:3.954899e-04,56:3.856190e-04,57:3.945306e-04,58:3.403738e-04,59:3.885778e-04,60:3.642584e-04,61:3.702820e-04,62:3.538742e-04,63:3.734413e-04,64:3.977877e-04,65:3.534931e-04,66:4.074861e-04,67:3.649985e-04,68:8.334313e-04,69:3.658858e-04,70:3.638905e-04,71:3.602169e-04,72:3.607033e-04,73:3.583259e-04,74:4.127353e-04,75:3.564832e-04,76:3.866845e-04,77:3.674103e-04,78:3.733348e-04,79:3.955067e-04,80:3.928398e-04,81:3.717324e-04,82:4.128490e-04,83:3.733451e-04,84:3.949917e-04,85:4.243226e-04,86:1.244990e-02,87:3.987239e-04,88:3.515821e-04,89:3.496166e-04,90:3.637193e-04);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:3.845307e-04,2:3.490555e-04,3:3.560184e-04,4:8.657911e-04,5:3.741507e-04,6:3.631187e-04,7:3.506813e-04,8:3.769352e-04,9:3.835856e-04,10:4.008564e-04,11:3.730487e-04,12:3.682972e-04,13:4.164486e-04,14:3.489572e-04,15:3.669434e-04,16:3.640039e-04,17:3.985387e-04,18:3.806073e-04,19:3.791317e-04,20:3.621523e-04,21:9.570897e-04,22:3.808951e-04,23:3.691425e-04,24:3.391358e-04,25:3.494206e-04,26:3.702505e-04,27:3.859481e-04,28:3.605536e-04,29:3.669457e-04,30:4.098400e-04,31:3.694022e-04,32:3.593744e-04,33:4.229508e-04,34:3.981416e-04,35:3.852133e-04,36:3.622347e-04,37:3.688251e-04,38:3.820593e-04,39:3.982187e-04,40:3.633713e-04,41:3.564283e-04,42:3.509089e-04,43:3.898878e-04,44:9.856715e-04,45:4.314020e-04,46:3.630032e-04,47:3.771663e-04,48:3.429224e-04,49:3.881826e-04,50:3.618961e-04,51:3.663957e-04,52:3.763362e-04,53:3.910865e-04,54:3.927254e-04,55:3.954899e-04,56:3.856190e-04,57:3.945306e-04,58:3.403738e-04,59:3.885778e-04,60:3.642584e-04,61:3.702820e-04,62:3.538742e-04,63:3.734413e-04,64:3.977877e-04,65:3.534931e-04,66:4.074861e-04,67:3.649985e-04,68:8.334313e-04,69:3.658858e-04,70:3.638905e-04,71:3.602169e-04,72:3.607033e-04,73:3.583259e-04,74:4.127353e-04,75:3.564832e-04,76:3.866845e-04,77:3.674103e-04,78:3.733348e-04,79:3.955067e-04,80:3.928398e-04,81:3.717324e-04,82:4.128490e-04,83:3.733451e-04,84:3.949917e-04,85:4.243226e-04,86:1.244990e-02,87:3.987239e-04,88:3.515821e-04,89:3.496166e-04,90:3.637193e-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 -355.52 -361.71
2 -355.40 -361.64
--------------------------------------
TOTAL -355.46 -361.67
--------------------------------------
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} 0.073306 0.948863 0.000621 0.030118 0.011171 673.35 982.16 1.001
r(A<->C){all} 0.256533 0.019625 0.017862 0.527995 0.235234 45.01 63.92 1.012
r(A<->G){all} 0.124371 0.013842 0.000031 0.373113 0.086948 47.04 54.60 1.018
r(A<->T){all} 0.112872 0.011389 0.000026 0.321023 0.084464 39.88 50.74 1.035
r(C<->G){all} 0.151007 0.015211 0.000029 0.398965 0.123960 52.60 58.96 1.002
r(C<->T){all} 0.233187 0.016405 0.030756 0.486688 0.216587 29.80 61.99 1.054
r(G<->T){all} 0.122032 0.010318 0.000151 0.323259 0.094889 69.80 74.26 1.000
pi(A){all} 0.252997 0.000725 0.202133 0.309849 0.252853 891.45 893.32 1.001
pi(C){all} 0.206323 0.000666 0.160869 0.260619 0.205153 939.42 940.56 1.002
pi(G){all} 0.194589 0.000608 0.144627 0.238646 0.193724 854.26 891.40 1.000
pi(T){all} 0.346091 0.000882 0.288778 0.404812 0.345350 784.81 822.49 1.000
alpha{1,2} 0.999406 0.985290 0.000157 2.982926 0.686912 707.68 766.68 1.002
alpha{3} 1.011694 1.009468 0.000032 3.007333 0.690803 745.23 798.84 1.002
pinvar{all} 0.455030 0.077818 0.000556 0.924903 0.431920 163.67 220.12 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C52,C65,C10,C67,C68,C9,C14,C73,C72,C17,C74,C59,C75,C16,C21,C80,C79,C24,C81,C82,C23,C28,C58,C87,C86,C31,C88,C89,C30,C35,C94,C93,C38,C3,C95,C96,C37,C42,C101,C100,C45,C102,C103,C44,C60,C49,C108,C107,C1,C109,C110,C51,C56,C115,C114,C61,C8,C116,C117,C4,C63,C122,C121,C15,C123,C124,C2,C11,C70,C129,C128,C22,C130,C131,C18,C77,C136,C7,C135,C29,C137,C138,C25,C84,C143,C142,C36,C144,C66,C145)` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **82** codons, and **1** partitions from `/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result/original_alignment/fubar/results/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1/Hu_Riyadh_KSA_4050_2015_E_AKK52617_1_2015_03_01_SA_Human_MERS.result.1.fna.FUBAR.json_, respectively > Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer): ####Posterior estimation method 1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation) 2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed) 3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default) >Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5): ### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model * Log(L) = -460.57, AIC-c = 1118.01 (98 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.112 ### Computing the phylogenetic likelihood function on the grid * Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid * Best scaling achieved for * synonymous rate = 2.815 * non-synonymous rate = 0.714 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results ---- ## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
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
