--- 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 -589.54 -605.15
2 -589.93 -606.17
--------------------------------------
TOTAL -589.71 -605.79
--------------------------------------
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} 0.078476 0.000589 0.037946 0.129316 0.074769 845.70 847.84 1.000
r(A<->C){all} 0.088002 0.003670 0.000601 0.202319 0.074698 176.78 230.83 1.004
r(A<->G){all} 0.210242 0.006594 0.057109 0.363295 0.199846 151.83 170.07 1.000
r(A<->T){all} 0.054851 0.001091 0.003111 0.115342 0.048935 265.36 273.80 1.000
r(C<->G){all} 0.068074 0.004021 0.000026 0.194790 0.049080 84.96 113.01 1.003
r(C<->T){all} 0.518761 0.010180 0.332527 0.717673 0.518872 137.30 150.51 1.001
r(G<->T){all} 0.060070 0.001955 0.000299 0.148668 0.048964 195.56 269.88 1.002
pi(A){all} 0.320324 0.000608 0.271798 0.368666 0.320245 837.93 893.46 1.000
pi(C){all} 0.134634 0.000318 0.100301 0.169285 0.133864 713.77 855.71 1.000
pi(G){all} 0.190718 0.000442 0.152745 0.234339 0.189361 688.72 750.68 1.000
pi(T){all} 0.354324 0.000656 0.306813 0.407215 0.353881 590.46 734.17 1.000
alpha{1,2} 0.553555 0.514096 0.000470 2.084553 0.279106 595.14 638.07 1.000
alpha{3} 1.365435 1.232903 0.002734 3.556780 1.099491 720.22 836.76 1.000
pinvar{all} 0.484314 0.051695 0.027943 0.824818 0.519032 302.86 309.64 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 Fri Nov 18 14:40:34 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 15:00:30 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:40:34 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 04:09:34 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/fubar,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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 330 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C109
Taxon 2 -> C192
Taxon 3 -> C256
Taxon 4 -> C37
Taxon 5 -> C69
Taxon 6 -> C101
Taxon 7 -> C138
Taxon 8 -> C165
Taxon 9 -> C191
Taxon 10 -> C217
Taxon 11 -> C240
Taxon 12 -> C57
Taxon 13 -> C258
Taxon 14 -> C276
Taxon 15 -> C31
Taxon 16 -> C34
Taxon 17 -> C38
Taxon 18 -> C44
Taxon 19 -> C49
Taxon 20 -> C51
Taxon 21 -> C55
Taxon 22 -> C66
Taxon 23 -> C252
Taxon 24 -> C13
Taxon 25 -> C73
Taxon 26 -> C79
Taxon 27 -> C84
Taxon 28 -> C86
Taxon 29 -> C90
Taxon 30 -> C14
Taxon 31 -> C104
Taxon 32 -> C108
Taxon 33 -> C114
Taxon 34 -> C153
Taxon 35 -> C119
Taxon 36 -> C121
Taxon 37 -> C125
Taxon 38 -> C136
Taxon 39 -> C139
Taxon 40 -> C143
Taxon 41 -> C149
Taxon 42 -> C154
Taxon 43 -> C156
Taxon 44 -> C160
Taxon 45 -> C16
Taxon 46 -> C171
Taxon 47 -> C174
Taxon 48 -> C178
Taxon 49 -> C184
Taxon 50 -> C189
Taxon 51 -> C17
Taxon 52 -> C195
Taxon 53 -> C206
Taxon 54 -> C209
Taxon 55 -> C213
Taxon 56 -> C126
Taxon 57 -> C219
Taxon 58 -> C224
Taxon 59 -> C226
Taxon 60 -> C230
Taxon 61 -> C241
Taxon 62 -> C244
Taxon 63 -> C248
Taxon 64 -> C254
Taxon 65 -> C259
Taxon 66 -> C261
Taxon 67 -> C232
Taxon 68 -> C265
Taxon 69 -> C21
Taxon 70 -> C279
Taxon 71 -> C77
Taxon 72 -> C128
Taxon 73 -> C130
Taxon 74 -> C131
Taxon 75 -> C129
Taxon 76 -> C22
Taxon 77 -> C43
Taxon 78 -> C2
Taxon 79 -> C135
Taxon 80 -> C80
Taxon 81 -> C137
Taxon 82 -> C15
Taxon 83 -> C32
Taxon 84 -> C33
Taxon 85 -> C45
Taxon 86 -> C142
Taxon 87 -> C87
Taxon 88 -> C144
Taxon 89 -> C6
Taxon 90 -> C145
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668830976
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) = 1051997948
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 = 8333767097
Seed = 1572805199
Swapseed = 1668830976
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 6 unique site patterns
Division 2 has 9 unique site patterns
Division 3 has 26 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 -- -1905.198281 -- 149.597508
Chain 2 -- -1920.004592 -- 149.597508
Chain 3 -- -1885.069894 -- 149.597508
Chain 4 -- -1883.948561 -- 149.597508
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1942.565428 -- 149.597508
Chain 2 -- -1884.295586 -- 149.597508
Chain 3 -- -1886.808121 -- 149.597508
Chain 4 -- -1890.418298 -- 149.597508
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1905.198] (-1920.005) (-1885.070) (-1883.949) * [-1942.565] (-1884.296) (-1886.808) (-1890.418)
1000 -- (-1172.384) [-1198.762] (-1245.700) (-1235.603) * (-1221.823) [-1202.639] (-1269.977) (-1236.872) -- 0:33:18
2000 -- [-1031.160] (-1129.526) (-1066.996) (-1085.620) * (-1089.982) [-1024.306] (-1039.478) (-1088.342) -- 0:33:16
3000 -- [-938.045] (-1042.432) (-938.908) (-1037.451) * (-1031.632) [-949.613] (-963.945) (-1002.363) -- 0:27:41
4000 -- [-861.810] (-987.095) (-856.548) (-948.353) * (-953.904) [-908.950] (-928.004) (-924.177) -- 0:29:03
5000 -- [-838.119] (-881.822) (-835.077) (-908.239) * (-899.137) [-863.977] (-925.253) (-886.452) -- 0:29:51
Average standard deviation of split frequencies: 0.086989
6000 -- [-825.565] (-874.077) (-808.817) (-858.289) * (-869.337) [-844.518] (-913.449) (-860.836) -- 0:30:22
7000 -- [-794.873] (-844.497) (-797.757) (-834.420) * (-857.636) [-787.899] (-895.477) (-850.793) -- 0:30:44
8000 -- [-789.627] (-844.521) (-794.197) (-830.103) * (-835.878) [-782.048] (-884.152) (-841.338) -- 0:31:00
9000 -- [-783.427] (-843.078) (-793.217) (-807.331) * (-838.246) [-790.417] (-862.602) (-827.821) -- 0:31:11
10000 -- [-782.339] (-816.531) (-779.530) (-811.154) * (-830.656) [-777.870] (-845.192) (-808.581) -- 0:31:21
Average standard deviation of split frequencies: 0.125587
11000 -- [-773.104] (-816.451) (-782.859) (-805.384) * (-835.988) [-771.072] (-822.140) (-820.276) -- 0:31:28
12000 -- [-774.260] (-814.762) (-784.948) (-796.992) * (-831.369) [-766.203] (-820.686) (-801.032) -- 0:31:33
13000 -- [-771.133] (-806.762) (-793.976) (-798.663) * (-845.975) [-761.578] (-817.171) (-810.517) -- 0:31:38
14000 -- [-762.947] (-805.710) (-796.469) (-830.556) * (-836.694) [-750.424] (-818.839) (-807.951) -- 0:31:41
15000 -- [-764.639] (-814.336) (-788.272) (-823.374) * (-834.998) [-748.954] (-816.465) (-804.280) -- 0:31:44
Average standard deviation of split frequencies: 0.137988
16000 -- [-768.142] (-794.543) (-787.275) (-839.695) * (-821.778) [-742.645] (-813.221) (-805.838) -- 0:31:46
17000 -- [-752.804] (-790.950) (-800.525) (-830.057) * (-815.246) [-739.975] (-806.497) (-793.132) -- 0:31:48
18000 -- [-736.695] (-803.850) (-788.590) (-822.427) * (-818.217) [-742.311] (-807.923) (-787.131) -- 0:31:49
19000 -- [-744.041] (-800.283) (-804.308) (-822.737) * (-801.416) [-743.929] (-818.937) (-777.889) -- 0:31:50
20000 -- [-741.893] (-793.093) (-795.878) (-814.383) * (-783.886) [-738.070] (-805.970) (-781.744) -- 0:31:51
Average standard deviation of split frequencies: 0.140701
21000 -- [-744.870] (-804.618) (-790.341) (-810.510) * (-783.278) [-737.304] (-809.544) (-781.806) -- 0:31:51
22000 -- [-741.779] (-796.334) (-788.362) (-821.042) * (-787.037) [-738.844] (-806.638) (-788.671) -- 0:31:51
23000 -- [-741.973] (-794.393) (-788.992) (-811.514) * (-785.508) [-738.481] (-809.297) (-786.204) -- 0:31:51
24000 -- [-739.779] (-791.869) (-786.338) (-815.742) * (-785.271) [-735.578] (-798.658) (-789.327) -- 0:31:51
25000 -- [-730.983] (-795.511) (-788.025) (-809.979) * (-795.321) [-737.605] (-809.856) (-789.591) -- 0:31:51
Average standard deviation of split frequencies: 0.104624
26000 -- [-744.312] (-802.520) (-787.924) (-805.667) * (-797.068) [-741.798] (-795.718) (-790.624) -- 0:31:50
27000 -- [-742.182] (-797.258) (-798.533) (-812.195) * (-788.324) [-745.563] (-797.945) (-783.399) -- 0:31:49
28000 -- [-741.764] (-793.983) (-793.465) (-810.482) * (-797.152) [-746.294] (-797.508) (-792.796) -- 0:31:49
29000 -- [-732.461] (-799.996) (-784.679) (-796.116) * (-790.697) [-741.544] (-790.536) (-785.314) -- 0:31:48
30000 -- [-728.436] (-794.895) (-786.224) (-794.695) * (-797.190) [-740.370] (-793.795) (-786.830) -- 0:31:47
Average standard deviation of split frequencies: 0.090950
31000 -- [-733.250] (-802.156) (-790.544) (-796.112) * (-791.668) [-739.761] (-798.671) (-799.071) -- 0:31:46
32000 -- [-737.991] (-793.238) (-778.864) (-801.885) * (-802.770) [-747.413] (-800.569) (-793.281) -- 0:31:45
33000 -- [-741.575] (-786.282) (-784.211) (-796.836) * (-809.755) [-745.208] (-807.920) (-784.350) -- 0:31:44
34000 -- [-736.896] (-786.963) (-787.916) (-805.672) * (-808.874) [-745.716] (-807.348) (-803.008) -- 0:31:43
35000 -- [-737.760] (-787.522) (-790.889) (-786.171) * (-819.483) [-746.733] (-813.881) (-790.705) -- 0:31:42
Average standard deviation of split frequencies: 0.084261
36000 -- [-741.869] (-791.367) (-800.086) (-794.949) * (-812.229) [-749.689] (-815.843) (-780.878) -- 0:31:41
37000 -- [-734.318] (-790.447) (-784.498) (-790.259) * (-808.204) [-747.541] (-817.371) (-787.594) -- 0:31:39
38000 -- [-737.346] (-799.620) (-779.409) (-786.153) * (-813.698) [-749.187] (-815.823) (-800.463) -- 0:31:38
39000 -- [-733.277] (-797.391) (-778.520) (-809.337) * (-796.776) [-745.906] (-800.128) (-794.610) -- 0:31:37
40000 -- [-740.748] (-805.500) (-792.905) (-793.295) * (-787.803) [-741.356] (-800.397) (-797.694) -- 0:32:00
Average standard deviation of split frequencies: 0.074110
41000 -- [-735.047] (-801.032) (-789.820) (-797.035) * (-791.022) [-749.582] (-807.580) (-789.678) -- 0:31:58
42000 -- [-733.716] (-787.414) (-789.709) (-794.391) * (-795.304) [-745.209] (-802.761) (-786.195) -- 0:31:56
43000 -- [-742.562] (-786.752) (-786.052) (-775.231) * (-794.871) [-744.839] (-792.981) (-786.529) -- 0:31:54
44000 -- [-734.433] (-793.470) (-781.629) (-782.849) * (-783.566) [-735.693] (-799.701) (-791.481) -- 0:31:52
45000 -- [-746.261] (-791.646) (-781.637) (-789.968) * (-783.368) [-747.436] (-814.138) (-780.865) -- 0:31:50
Average standard deviation of split frequencies: 0.066453
46000 -- [-742.851] (-778.778) (-777.958) (-799.048) * (-788.734) [-741.172] (-788.949) (-785.397) -- 0:31:48
47000 -- [-734.877] (-795.647) (-774.050) (-792.810) * (-789.749) [-738.243] (-811.003) (-786.277) -- 0:31:46
48000 -- [-728.889] (-787.554) (-782.523) (-791.341) * (-791.224) [-734.459] (-804.517) (-785.561) -- 0:31:44
49000 -- [-736.819] (-787.457) (-780.018) (-781.780) * (-786.514) [-733.313] (-803.205) (-787.267) -- 0:32:01
50000 -- [-734.907] (-784.655) (-775.223) (-801.402) * (-782.385) [-742.875] (-804.334) (-786.293) -- 0:31:59
Average standard deviation of split frequencies: 0.059959
51000 -- [-734.969] (-793.396) (-797.058) (-790.307) * (-780.060) [-738.053] (-808.589) (-792.529) -- 0:31:56
52000 -- [-730.523] (-788.775) (-798.451) (-789.038) * (-786.450) [-733.561] (-808.409) (-796.205) -- 0:31:54
53000 -- [-739.953] (-793.065) (-798.223) (-796.613) * (-785.097) [-740.090] (-796.256) (-802.756) -- 0:31:51
54000 -- [-752.876] (-792.137) (-787.867) (-796.972) * (-785.211) [-739.094] (-805.923) (-799.422) -- 0:31:49
55000 -- [-746.398] (-798.750) (-786.731) (-807.583) * (-786.659) [-746.247] (-800.839) (-804.830) -- 0:31:47
Average standard deviation of split frequencies: 0.055465
56000 -- [-744.339] (-791.439) (-786.728) (-799.674) * (-784.998) [-743.236] (-802.157) (-803.251) -- 0:31:44
57000 -- [-744.167] (-795.921) (-780.028) (-802.081) * (-787.098) [-740.213] (-803.651) (-786.296) -- 0:31:42
58000 -- [-742.727] (-785.164) (-776.714) (-785.326) * (-793.390) [-737.473] (-796.207) (-789.613) -- 0:31:56
59000 -- [-741.756] (-777.363) (-785.071) (-781.976) * (-783.421) [-741.562] (-797.435) (-788.022) -- 0:31:53
60000 -- [-734.820] (-790.911) (-783.527) (-785.216) * (-784.564) [-743.397] (-800.175) (-795.251) -- 0:31:51
Average standard deviation of split frequencies: 0.051959
61000 -- [-738.653] (-790.161) (-784.500) (-782.361) * (-788.118) [-743.285] (-803.053) (-803.297) -- 0:31:48
62000 -- [-732.531] (-793.483) (-786.079) (-791.502) * (-784.005) [-744.059] (-788.789) (-797.837) -- 0:31:46
63000 -- [-734.610] (-791.449) (-789.417) (-789.971) * (-787.893) [-753.547] (-790.741) (-799.937) -- 0:31:43
64000 -- [-747.365] (-793.015) (-807.502) (-789.759) * (-788.978) [-735.241] (-797.765) (-809.148) -- 0:31:41
65000 -- [-738.418] (-788.165) (-790.767) (-800.485) * (-796.558) [-732.796] (-799.542) (-789.375) -- 0:31:38
Average standard deviation of split frequencies: 0.044563
66000 -- [-736.616] (-786.518) (-789.374) (-792.617) * (-796.376) [-740.230] (-796.098) (-784.437) -- 0:31:36
67000 -- [-735.443] (-786.963) (-789.300) (-808.144) * (-804.778) [-743.109] (-809.769) (-801.037) -- 0:31:33
68000 -- [-735.053] (-796.219) (-777.263) (-794.075) * (-798.078) [-743.812] (-800.491) (-812.661) -- 0:31:31
69000 -- [-738.520] (-798.702) (-789.135) (-787.676) * (-793.269) [-739.374] (-794.288) (-794.291) -- 0:31:28
70000 -- [-735.221] (-796.922) (-787.988) (-785.300) * (-792.236) [-746.734] (-797.498) (-803.379) -- 0:31:26
Average standard deviation of split frequencies: 0.043748
71000 -- [-736.490] (-793.778) (-780.556) (-793.574) * (-802.861) [-744.519] (-792.931) (-801.561) -- 0:31:24
72000 -- [-749.941] (-787.212) (-781.888) (-788.562) * (-794.555) [-742.391] (-809.352) (-796.106) -- 0:31:21
73000 -- [-748.771] (-780.192) (-783.301) (-788.577) * (-794.979) [-741.569] (-796.171) (-783.258) -- 0:31:19
74000 -- [-746.952] (-780.987) (-781.531) (-793.030) * (-796.761) [-746.832] (-803.662) (-777.962) -- 0:31:17
75000 -- [-750.366] (-786.628) (-789.500) (-797.628) * (-799.766) [-741.254] (-791.498) (-778.091) -- 0:31:14
Average standard deviation of split frequencies: 0.038457
76000 -- [-744.783] (-803.362) (-793.046) (-793.408) * (-806.165) [-734.012] (-801.005) (-783.035) -- 0:31:12
77000 -- [-736.888] (-815.142) (-784.912) (-793.161) * (-790.766) [-734.414] (-792.911) (-786.297) -- 0:31:09
78000 -- [-736.666] (-816.380) (-788.197) (-790.838) * (-794.372) [-732.190] (-798.915) (-784.209) -- 0:31:19
79000 -- [-732.516] (-818.041) (-791.863) (-797.086) * (-791.484) [-734.935] (-799.162) (-790.413) -- 0:31:16
80000 -- [-737.854] (-815.841) (-785.606) (-797.120) * (-788.963) [-735.582] (-799.670) (-803.690) -- 0:31:14
Average standard deviation of split frequencies: 0.036173
81000 -- [-749.192] (-810.056) (-778.661) (-785.863) * (-790.225) [-729.196] (-819.147) (-796.336) -- 0:31:12
82000 -- [-736.767] (-805.513) (-772.105) (-789.991) * (-787.901) [-732.328] (-815.655) (-789.963) -- 0:31:09
83000 -- [-732.523] (-815.655) (-775.546) (-788.443) * (-793.170) [-742.923] (-798.014) (-789.650) -- 0:31:07
84000 -- [-731.781] (-815.972) (-784.166) (-797.328) * (-802.073) [-744.210] (-799.304) (-804.424) -- 0:31:04
85000 -- [-733.675] (-817.071) (-789.302) (-796.359) * (-793.252) [-740.400] (-802.161) (-808.730) -- 0:31:02
Average standard deviation of split frequencies: 0.033150
86000 -- [-734.121] (-794.076) (-796.847) (-794.162) * (-797.122) [-751.781] (-791.430) (-790.982) -- 0:30:59
87000 -- [-732.203] (-800.042) (-796.435) (-788.078) * (-798.324) [-744.655] (-814.960) (-781.747) -- 0:30:57
88000 -- [-745.404] (-791.515) (-784.627) (-786.674) * (-789.072) [-748.595] (-796.137) (-788.285) -- 0:31:05
89000 -- [-754.422] (-780.782) (-776.598) (-778.698) * (-790.464) [-750.319] (-791.909) (-794.543) -- 0:31:02
90000 -- [-748.570] (-785.069) (-793.457) (-784.991) * (-789.492) [-765.479] (-787.032) (-805.752) -- 0:31:00
Average standard deviation of split frequencies: 0.030386
91000 -- [-750.444] (-788.996) (-801.526) (-791.395) * (-786.286) [-754.968] (-805.398) (-802.866) -- 0:30:57
92000 -- [-742.128] (-783.859) (-803.150) (-787.398) * (-782.790) [-743.815] (-795.086) (-805.878) -- 0:30:55
93000 -- [-738.478] (-776.837) (-799.628) (-781.807) * (-790.971) [-739.201] (-788.244) (-801.602) -- 0:30:53
94000 -- [-744.559] (-779.495) (-817.184) (-785.493) * (-789.151) [-732.546] (-794.118) (-801.107) -- 0:30:50
95000 -- [-738.347] (-778.454) (-805.215) (-797.543) * (-787.923) [-750.541] (-793.464) (-815.466) -- 0:30:48
Average standard deviation of split frequencies: 0.030802
96000 -- [-737.090] (-780.227) (-797.855) (-791.212) * (-796.590) [-738.991] (-794.872) (-813.769) -- 0:30:45
97000 -- [-743.830] (-767.453) (-794.584) (-796.368) * (-786.575) [-742.529] (-794.965) (-804.111) -- 0:30:43
98000 -- [-740.316] (-769.606) (-779.355) (-796.217) * (-784.541) [-745.594] (-790.136) (-807.709) -- 0:30:40
99000 -- [-737.948] (-782.648) (-790.492) (-794.625) * (-786.990) [-747.267] (-796.998) (-809.461) -- 0:30:38
100000 -- [-741.916] (-790.506) (-791.913) (-790.167) * (-785.607) [-734.830] (-801.820) (-823.053) -- 0:30:36
Average standard deviation of split frequencies: 0.029187
101000 -- [-737.805] (-785.396) (-795.376) (-785.538) * (-788.062) [-734.931] (-800.660) (-800.812) -- 0:30:33
102000 -- [-741.795] (-790.275) (-796.384) (-791.243) * (-795.913) [-734.976] (-794.225) (-784.946) -- 0:30:40
103000 -- [-750.632] (-787.548) (-798.098) (-790.288) * (-788.094) [-738.944] (-797.878) (-802.070) -- 0:30:37
104000 -- [-758.143] (-789.245) (-785.831) (-791.300) * (-787.539) [-747.043] (-792.527) (-801.081) -- 0:30:35
105000 -- [-750.286] (-786.357) (-783.273) (-799.865) * (-789.839) [-744.009] (-794.649) (-802.760) -- 0:30:32
Average standard deviation of split frequencies: 0.029296
106000 -- [-743.999] (-787.126) (-783.742) (-781.761) * (-794.368) [-738.728] (-795.326) (-807.228) -- 0:30:30
107000 -- [-748.879] (-794.429) (-770.766) (-793.106) * (-792.287) [-749.032] (-784.007) (-792.103) -- 0:30:27
108000 -- [-738.565] (-797.047) (-780.985) (-787.004) * (-791.881) [-749.923] (-789.538) (-791.126) -- 0:30:25
109000 -- [-738.985] (-778.624) (-785.562) (-801.374) * (-790.427) [-738.544] (-783.599) (-794.593) -- 0:30:22
110000 -- [-738.598] (-790.172) (-779.758) (-797.871) * (-785.475) [-738.741] (-796.953) (-805.840) -- 0:30:20
Average standard deviation of split frequencies: 0.028585
111000 -- [-739.772] (-789.967) (-782.100) (-797.033) * (-794.448) [-745.765] (-794.138) (-796.061) -- 0:30:18
112000 -- [-742.361] (-796.317) (-782.376) (-787.414) * (-785.908) [-747.019] (-799.898) (-799.838) -- 0:30:15
113000 -- [-738.371] (-798.301) (-787.376) (-792.415) * (-786.587) [-748.796] (-800.533) (-795.556) -- 0:30:13
114000 -- [-745.567] (-805.586) (-781.877) (-790.235) * (-786.885) [-737.016] (-797.847) (-800.853) -- 0:30:10
115000 -- [-740.820] (-807.400) (-784.863) (-786.372) * (-788.205) [-740.839] (-807.957) (-795.058) -- 0:30:08
Average standard deviation of split frequencies: 0.030674
116000 -- [-731.063] (-812.039) (-782.275) (-791.769) * (-779.742) [-735.684] (-802.287) (-796.946) -- 0:29:58
117000 -- [-729.763] (-797.366) (-780.745) (-795.422) * (-779.943) [-740.577] (-806.575) (-789.998) -- 0:29:56
118000 -- [-735.476] (-792.183) (-783.047) (-791.551) * (-781.565) [-736.367] (-799.921) (-805.185) -- 0:29:53
119000 -- [-733.979] (-794.099) (-782.467) (-808.927) * (-784.341) [-738.830] (-795.391) (-810.869) -- 0:29:51
120000 -- [-741.178] (-785.365) (-782.114) (-796.144) * (-791.934) [-735.354] (-800.798) (-805.460) -- 0:29:56
Average standard deviation of split frequencies: 0.030193
121000 -- [-739.308] (-784.576) (-785.047) (-804.224) * (-795.347) [-742.620] (-783.891) (-804.859) -- 0:29:47
122000 -- [-738.836] (-787.979) (-775.966) (-818.433) * (-781.080) [-734.699] (-796.182) (-798.143) -- 0:29:44
123000 -- [-751.204] (-789.758) (-774.355) (-799.495) * (-792.863) [-739.059] (-791.545) (-802.453) -- 0:29:42
124000 -- [-752.966] (-782.449) (-780.682) (-802.045) * (-791.427) [-739.724] (-794.313) (-800.109) -- 0:29:47
125000 -- [-744.082] (-793.646) (-774.814) (-793.801) * (-793.883) [-739.365] (-787.583) (-805.149) -- 0:29:45
Average standard deviation of split frequencies: 0.027778
126000 -- [-738.252] (-777.160) (-786.849) (-797.869) * (-789.806) [-737.564] (-791.747) (-797.872) -- 0:29:42
127000 -- [-734.201] (-780.340) (-794.761) (-788.448) * (-797.881) [-736.745] (-804.256) (-791.623) -- 0:29:40
128000 -- [-730.859] (-801.969) (-790.656) (-795.508) * (-795.427) [-742.228] (-792.340) (-786.252) -- 0:29:38
129000 -- [-723.413] (-792.434) (-795.123) (-800.716) * (-779.360) [-737.611] (-800.478) (-793.949) -- 0:29:35
130000 -- [-728.844] (-797.225) (-786.077) (-789.578) * (-795.552) [-742.993] (-791.405) (-794.627) -- 0:29:33
Average standard deviation of split frequencies: 0.027709
131000 -- [-737.506] (-796.678) (-783.178) (-788.670) * (-787.195) [-732.804] (-796.227) (-792.814) -- 0:29:31
132000 -- [-743.471] (-793.457) (-787.385) (-787.670) * (-792.725) [-748.115] (-792.884) (-790.012) -- 0:29:28
133000 -- [-741.646] (-788.697) (-791.883) (-797.458) * (-785.112) [-739.848] (-815.614) (-780.985) -- 0:29:26
134000 -- [-740.397] (-801.890) (-778.497) (-783.225) * (-782.498) [-737.588] (-807.971) (-782.673) -- 0:29:24
135000 -- [-744.045] (-785.279) (-784.420) (-781.677) * (-789.091) [-742.494] (-797.888) (-791.602) -- 0:29:28
Average standard deviation of split frequencies: 0.028596
136000 -- [-748.529] (-790.336) (-779.107) (-787.692) * (-785.631) [-747.080] (-792.139) (-795.805) -- 0:29:26
137000 -- [-744.546] (-787.405) (-778.311) (-789.658) * (-785.399) [-740.346] (-798.170) (-802.605) -- 0:29:23
138000 -- [-746.247] (-782.935) (-779.244) (-796.043) * (-780.035) [-750.545] (-800.511) (-801.006) -- 0:29:21
139000 -- [-737.044] (-786.350) (-781.831) (-783.151) * (-805.828) [-750.503] (-783.970) (-801.799) -- 0:29:19
140000 -- [-741.537] (-793.643) (-777.042) (-790.410) * (-799.365) [-752.396] (-798.639) (-795.602) -- 0:29:16
Average standard deviation of split frequencies: 0.028047
141000 -- [-738.563] (-788.244) (-790.067) (-788.473) * (-809.928) [-743.229] (-794.801) (-797.636) -- 0:29:14
142000 -- [-740.840] (-792.938) (-790.419) (-780.490) * (-806.153) [-749.065] (-790.800) (-792.691) -- 0:29:12
143000 -- [-736.407] (-789.205) (-781.297) (-781.734) * (-795.826) [-744.643] (-791.048) (-795.441) -- 0:29:09
144000 -- [-739.441] (-797.504) (-782.137) (-781.093) * (-786.791) [-752.885] (-779.090) (-801.703) -- 0:29:07
145000 -- [-738.861] (-785.065) (-783.028) (-786.626) * (-791.833) [-747.554] (-788.604) (-794.219) -- 0:29:05
Average standard deviation of split frequencies: 0.027491
146000 -- [-744.717] (-789.545) (-782.710) (-785.823) * (-794.723) [-752.180] (-794.360) (-809.856) -- 0:29:03
147000 -- [-744.951] (-791.613) (-776.007) (-795.969) * (-796.589) [-745.359] (-802.419) (-801.160) -- 0:29:00
148000 -- [-739.356] (-797.224) (-775.730) (-798.701) * (-778.892) [-744.431] (-816.204) (-796.792) -- 0:28:58
149000 -- [-735.985] (-802.534) (-776.500) (-790.526) * (-782.067) [-740.639] (-808.408) (-793.883) -- 0:28:56
150000 -- [-737.770] (-799.796) (-762.939) (-789.084) * (-779.077) [-748.315] (-799.866) (-795.466) -- 0:28:54
Average standard deviation of split frequencies: 0.027298
151000 -- [-732.443] (-810.700) (-774.152) (-787.591) * (-772.104) [-745.929] (-793.755) (-797.249) -- 0:28:51
152000 -- [-730.243] (-801.659) (-780.026) (-788.029) * (-780.027) [-741.721] (-797.665) (-805.321) -- 0:28:49
153000 -- [-741.240] (-800.677) (-788.595) (-783.191) * (-776.915) [-741.894] (-785.673) (-800.514) -- 0:28:47
154000 -- [-735.740] (-797.161) (-786.190) (-786.321) * (-786.353) [-746.348] (-798.569) (-804.435) -- 0:28:44
155000 -- [-727.685] (-802.548) (-781.840) (-793.284) * (-789.366) [-740.106] (-797.939) (-796.073) -- 0:28:42
Average standard deviation of split frequencies: 0.026145
156000 -- [-731.020] (-807.071) (-781.292) (-789.817) * (-794.063) [-733.562] (-801.059) (-802.617) -- 0:28:40
157000 -- [-742.686] (-800.295) (-777.914) (-781.080) * (-786.020) [-734.080] (-796.548) (-799.159) -- 0:28:38
158000 -- [-741.526] (-796.321) (-783.402) (-780.869) * (-790.976) [-742.240] (-790.975) (-806.563) -- 0:28:41
159000 -- [-732.661] (-795.425) (-777.789) (-787.586) * (-785.331) [-744.335] (-787.911) (-806.691) -- 0:28:39
160000 -- [-737.232] (-797.674) (-788.308) (-798.658) * (-792.009) [-744.811] (-796.344) (-803.090) -- 0:28:36
Average standard deviation of split frequencies: 0.024691
161000 -- [-747.501] (-800.574) (-809.294) (-788.176) * (-799.856) [-744.301] (-792.865) (-791.298) -- 0:28:34
162000 -- [-737.775] (-793.912) (-797.313) (-789.485) * (-803.206) [-742.811] (-793.558) (-789.839) -- 0:28:32
163000 -- [-745.105] (-810.581) (-787.739) (-794.882) * (-783.977) [-739.673] (-789.656) (-791.177) -- 0:28:29
164000 -- [-752.396] (-790.263) (-781.170) (-793.756) * (-779.889) [-747.639] (-796.985) (-789.028) -- 0:28:27
165000 -- [-749.751] (-792.750) (-776.207) (-795.652) * (-787.588) [-739.822] (-788.257) (-806.802) -- 0:28:25
Average standard deviation of split frequencies: 0.023205
166000 -- [-740.608] (-796.299) (-781.592) (-796.486) * (-801.677) [-738.811] (-786.103) (-801.109) -- 0:28:23
167000 -- [-740.773] (-809.452) (-781.914) (-787.101) * (-804.860) [-740.860] (-784.572) (-802.010) -- 0:28:20
168000 -- [-744.287] (-801.689) (-782.444) (-785.542) * (-801.183) [-741.914] (-788.025) (-798.214) -- 0:28:23
169000 -- [-736.782] (-812.920) (-781.200) (-783.929) * (-789.961) [-737.784] (-798.968) (-794.614) -- 0:28:21
170000 -- [-744.591] (-795.944) (-777.858) (-787.871) * (-784.636) [-746.144] (-797.091) (-796.180) -- 0:28:19
Average standard deviation of split frequencies: 0.024117
171000 -- [-740.314] (-794.020) (-772.257) (-787.361) * (-787.165) [-749.594] (-803.595) (-795.259) -- 0:28:16
172000 -- [-734.995] (-799.082) (-778.191) (-795.094) * (-798.590) [-747.278] (-800.639) (-793.254) -- 0:28:14
173000 -- [-759.333] (-804.713) (-767.841) (-793.804) * (-790.507) [-747.534] (-802.937) (-800.448) -- 0:28:12
174000 -- [-748.416] (-805.163) (-778.757) (-789.834) * (-801.825) [-743.503] (-788.726) (-806.970) -- 0:28:09
175000 -- [-745.515] (-798.084) (-777.023) (-789.864) * (-807.400) [-747.667] (-789.917) (-810.570) -- 0:28:07
Average standard deviation of split frequencies: 0.023476
176000 -- [-745.640] (-794.605) (-779.347) (-800.904) * (-804.561) [-744.170] (-782.748) (-798.361) -- 0:28:05
177000 -- [-746.472] (-798.199) (-772.489) (-793.788) * (-808.294) [-738.797] (-782.219) (-792.252) -- 0:28:03
178000 -- [-751.363] (-798.337) (-775.533) (-796.407) * (-793.971) [-731.312] (-779.296) (-801.762) -- 0:28:00
179000 -- [-751.100] (-806.482) (-775.836) (-795.258) * (-795.958) [-749.211] (-787.589) (-788.882) -- 0:27:58
180000 -- [-742.586] (-803.537) (-767.713) (-799.371) * (-795.727) [-747.111] (-785.833) (-789.569) -- 0:28:01
Average standard deviation of split frequencies: 0.023690
181000 -- [-741.415] (-794.275) (-763.668) (-809.022) * (-797.225) [-750.846] (-798.471) (-796.450) -- 0:27:58
182000 -- [-737.662] (-794.069) (-765.061) (-807.749) * (-802.947) [-755.085] (-804.032) (-791.748) -- 0:27:56
183000 -- [-734.743] (-788.318) (-775.997) (-796.487) * (-804.841) [-751.314] (-798.316) (-783.732) -- 0:27:54
184000 -- [-737.520] (-791.557) (-777.639) (-797.073) * (-805.609) [-743.139] (-793.735) (-783.503) -- 0:27:51
185000 -- [-743.717] (-781.199) (-794.776) (-793.862) * (-806.488) [-743.111] (-808.500) (-795.723) -- 0:27:49
Average standard deviation of split frequencies: 0.023037
186000 -- [-733.961] (-781.966) (-782.587) (-799.284) * (-798.190) [-736.799] (-797.877) (-784.684) -- 0:27:47
187000 -- [-740.126] (-794.024) (-782.759) (-809.687) * (-804.430) [-747.857] (-814.037) (-794.747) -- 0:27:45
188000 -- [-734.750] (-792.725) (-785.668) (-807.313) * (-798.613) [-749.035] (-818.310) (-799.011) -- 0:27:42
189000 -- [-733.829] (-795.558) (-791.110) (-810.700) * (-796.609) [-746.710] (-806.671) (-793.756) -- 0:27:40
190000 -- [-747.813] (-796.040) (-783.952) (-795.360) * (-805.317) [-747.903] (-793.783) (-792.091) -- 0:27:38
Average standard deviation of split frequencies: 0.021403
191000 -- [-744.612] (-793.840) (-787.594) (-787.157) * (-807.879) [-739.138] (-803.151) (-798.571) -- 0:27:36
192000 -- [-747.849] (-797.842) (-772.402) (-799.170) * (-812.804) [-739.717] (-806.756) (-805.184) -- 0:27:33
193000 -- [-738.694] (-802.507) (-782.395) (-794.609) * (-809.624) [-735.463] (-804.546) (-792.360) -- 0:27:31
194000 -- [-736.718] (-818.549) (-782.872) (-799.900) * (-806.648) [-731.600] (-806.170) (-786.988) -- 0:27:29
195000 -- [-735.359] (-813.933) (-782.451) (-789.246) * (-793.452) [-735.626] (-803.863) (-770.418) -- 0:27:27
Average standard deviation of split frequencies: 0.022295
196000 -- [-732.344] (-794.207) (-778.038) (-804.011) * (-791.615) [-738.323] (-793.187) (-774.161) -- 0:27:24
197000 -- [-738.151] (-785.866) (-773.812) (-805.809) * (-785.293) [-745.885] (-789.467) (-792.417) -- 0:27:22
198000 -- [-740.245] (-783.622) (-777.542) (-805.378) * (-780.494) [-740.578] (-781.129) (-806.189) -- 0:27:20
199000 -- [-744.576] (-782.789) (-774.680) (-816.891) * (-786.499) [-745.942] (-790.754) (-796.051) -- 0:27:18
200000 -- [-741.707] (-787.674) (-779.993) (-806.660) * (-784.756) [-745.860] (-788.106) (-784.757) -- 0:27:16
Average standard deviation of split frequencies: 0.022024
201000 -- [-742.971] (-787.048) (-769.491) (-812.771) * (-795.597) [-734.170] (-786.589) (-782.269) -- 0:27:13
202000 -- [-737.624] (-792.656) (-767.198) (-800.340) * (-803.924) [-748.788] (-794.106) (-786.174) -- 0:27:11
203000 -- [-736.940] (-797.722) (-772.105) (-796.330) * (-805.773) [-747.936] (-787.887) (-783.558) -- 0:27:09
204000 -- [-735.128] (-780.561) (-778.936) (-809.496) * (-797.242) [-743.491] (-785.719) (-779.100) -- 0:27:07
205000 -- [-746.125] (-787.482) (-787.666) (-809.661) * (-799.018) [-742.203] (-783.413) (-778.410) -- 0:27:04
Average standard deviation of split frequencies: 0.021705
206000 -- [-742.246] (-779.916) (-776.221) (-804.723) * (-787.151) [-746.284] (-798.191) (-789.082) -- 0:27:06
207000 -- [-739.242] (-776.288) (-772.066) (-803.834) * (-795.463) [-749.204] (-790.155) (-794.043) -- 0:27:04
208000 -- [-736.120] (-774.794) (-767.625) (-806.375) * (-783.049) [-741.842] (-792.136) (-791.613) -- 0:27:02
209000 -- [-737.624] (-777.774) (-767.699) (-804.312) * (-783.405) [-737.862] (-797.724) (-782.099) -- 0:26:59
210000 -- [-737.377] (-780.266) (-773.541) (-801.945) * (-785.012) [-741.654] (-812.408) (-782.723) -- 0:26:57
Average standard deviation of split frequencies: 0.021150
211000 -- [-737.191] (-784.758) (-776.810) (-803.475) * (-796.287) [-751.449] (-807.140) (-781.175) -- 0:26:55
212000 -- [-739.795] (-791.379) (-775.142) (-823.920) * (-793.570) [-740.720] (-792.422) (-793.469) -- 0:26:53
213000 -- [-746.804] (-782.103) (-784.010) (-808.498) * (-791.645) [-739.067] (-792.677) (-783.720) -- 0:26:54
214000 -- [-743.767] (-780.003) (-780.522) (-810.088) * (-787.559) [-745.277] (-804.924) (-784.170) -- 0:26:52
215000 -- [-741.008] (-781.223) (-781.835) (-801.268) * (-796.406) [-746.700] (-801.134) (-794.964) -- 0:26:50
Average standard deviation of split frequencies: 0.022527
216000 -- [-743.890] (-780.058) (-784.019) (-785.923) * (-792.523) [-745.789] (-804.510) (-798.911) -- 0:26:47
217000 -- [-742.428] (-783.219) (-784.298) (-788.292) * (-787.919) [-745.312] (-786.434) (-808.524) -- 0:26:45
218000 -- [-741.968] (-777.387) (-790.623) (-780.980) * (-790.240) [-735.852] (-795.534) (-798.810) -- 0:26:43
219000 -- [-740.814] (-776.904) (-784.005) (-791.790) * (-785.602) [-737.440] (-788.341) (-795.124) -- 0:26:44
220000 -- [-740.994] (-793.531) (-784.164) (-781.287) * (-779.646) [-738.782] (-794.587) (-808.207) -- 0:26:42
Average standard deviation of split frequencies: 0.022039
221000 -- [-749.228] (-784.162) (-772.229) (-788.474) * (-777.225) [-741.952] (-801.553) (-801.717) -- 0:26:40
222000 -- [-743.724] (-783.385) (-775.643) (-794.579) * (-779.376) [-736.074] (-786.898) (-799.214) -- 0:26:38
223000 -- [-745.610] (-784.989) (-770.891) (-805.326) * (-784.398) [-741.482] (-790.968) (-800.248) -- 0:26:35
224000 -- [-754.088] (-781.862) (-780.417) (-793.214) * (-789.557) [-739.611] (-787.134) (-806.491) -- 0:26:33
225000 -- [-746.050] (-781.079) (-774.573) (-790.454) * (-790.780) [-738.021] (-788.029) (-797.157) -- 0:26:31
Average standard deviation of split frequencies: 0.020533
226000 -- [-742.712] (-789.476) (-786.544) (-806.033) * (-789.751) [-738.353] (-786.119) (-793.464) -- 0:26:29
227000 -- [-747.948] (-792.242) (-784.576) (-803.201) * (-779.802) [-740.662] (-778.987) (-798.169) -- 0:26:26
228000 -- [-742.091] (-793.958) (-768.885) (-812.035) * (-781.888) [-732.378] (-789.299) (-788.510) -- 0:26:24
229000 -- [-737.423] (-793.145) (-773.474) (-804.809) * (-781.735) [-739.917] (-797.320) (-790.726) -- 0:26:22
230000 -- [-740.046] (-792.192) (-775.839) (-810.560) * (-786.239) [-743.843] (-805.010) (-787.851) -- 0:26:23
Average standard deviation of split frequencies: 0.018840
231000 -- [-740.991] (-790.147) (-780.998) (-809.607) * (-783.562) [-745.529] (-804.653) (-794.594) -- 0:26:21
232000 -- [-739.847] (-785.960) (-780.669) (-815.380) * (-785.104) [-741.323] (-795.786) (-794.326) -- 0:26:19
233000 -- [-740.258] (-790.856) (-771.594) (-797.712) * (-786.406) [-738.855] (-801.359) (-790.658) -- 0:26:16
234000 -- [-741.675] (-788.637) (-778.429) (-807.256) * (-786.241) [-736.048] (-790.095) (-801.903) -- 0:26:14
235000 -- [-740.853] (-785.507) (-795.339) (-816.993) * (-786.425) [-744.359] (-790.160) (-786.955) -- 0:26:12
Average standard deviation of split frequencies: 0.018358
236000 -- [-746.250] (-788.393) (-789.187) (-813.672) * (-782.262) [-740.165] (-791.693) (-792.726) -- 0:26:10
237000 -- [-748.064] (-782.694) (-787.245) (-807.510) * (-783.109) [-735.579] (-793.687) (-793.285) -- 0:26:07
238000 -- [-741.459] (-791.314) (-786.125) (-811.419) * (-787.309) [-736.051] (-790.300) (-815.750) -- 0:26:05
239000 -- [-749.699] (-783.990) (-790.398) (-805.853) * (-790.457) [-737.027] (-790.540) (-807.270) -- 0:26:03
240000 -- [-745.158] (-780.035) (-791.544) (-811.307) * (-790.579) [-730.739] (-806.506) (-792.103) -- 0:26:01
Average standard deviation of split frequencies: 0.019272
241000 -- [-737.281] (-791.900) (-776.955) (-813.468) * (-791.482) [-739.423] (-796.914) (-790.083) -- 0:25:58
242000 -- [-737.878] (-791.585) (-784.938) (-798.350) * (-779.308) [-740.661] (-800.081) (-801.674) -- 0:25:56
243000 -- [-742.440] (-789.756) (-785.235) (-816.203) * (-788.722) [-741.698] (-797.478) (-795.218) -- 0:25:54
244000 -- [-739.224] (-795.038) (-779.366) (-816.912) * (-795.931) [-737.252] (-792.022) (-799.336) -- 0:25:52
245000 -- [-728.361] (-788.058) (-789.600) (-809.948) * (-783.821) [-742.014] (-793.233) (-806.745) -- 0:25:50
Average standard deviation of split frequencies: 0.018085
246000 -- [-744.452] (-784.796) (-777.877) (-803.389) * (-785.567) [-730.363] (-803.411) (-787.810) -- 0:25:47
247000 -- [-741.921] (-784.821) (-772.582) (-807.892) * (-781.169) [-737.846] (-794.289) (-797.825) -- 0:25:45
248000 -- [-741.230] (-779.219) (-772.250) (-799.552) * (-780.582) [-741.470] (-799.797) (-796.481) -- 0:25:43
249000 -- [-735.816] (-788.089) (-773.002) (-809.682) * (-790.875) [-743.150] (-786.981) (-799.195) -- 0:25:44
250000 -- [-736.838] (-789.801) (-776.132) (-798.471) * (-787.538) [-741.361] (-787.621) (-793.951) -- 0:25:42
Average standard deviation of split frequencies: 0.017983
251000 -- [-732.993] (-791.657) (-768.999) (-800.684) * (-783.226) [-737.922] (-790.643) (-797.451) -- 0:25:39
252000 -- [-738.480] (-790.760) (-768.392) (-792.700) * (-794.708) [-738.704] (-797.217) (-789.998) -- 0:25:37
253000 -- [-734.249] (-790.237) (-775.217) (-809.427) * (-779.904) [-736.048] (-796.962) (-794.643) -- 0:25:35
254000 -- [-738.225] (-786.619) (-781.991) (-791.351) * (-774.763) [-730.187] (-799.301) (-800.460) -- 0:25:33
255000 -- [-741.176] (-788.426) (-782.694) (-787.236) * (-784.416) [-731.684] (-797.589) (-802.557) -- 0:25:30
Average standard deviation of split frequencies: 0.018155
256000 -- [-746.900] (-799.140) (-779.671) (-778.729) * (-784.287) [-736.222] (-801.177) (-792.816) -- 0:25:28
257000 -- [-742.675] (-793.424) (-775.794) (-790.523) * (-797.604) [-749.076] (-805.954) (-788.472) -- 0:25:26
258000 -- [-745.273] (-789.796) (-780.364) (-791.075) * (-806.399) [-738.825] (-807.474) (-788.755) -- 0:25:24
259000 -- [-743.679] (-785.584) (-784.546) (-787.786) * (-788.545) [-736.840] (-816.153) (-794.765) -- 0:25:22
260000 -- [-741.286] (-786.735) (-795.110) (-794.970) * (-789.198) [-731.446] (-784.918) (-786.694) -- 0:25:19
Average standard deviation of split frequencies: 0.018023
261000 -- [-746.401] (-786.938) (-797.021) (-798.576) * (-789.402) [-747.845] (-788.006) (-793.490) -- 0:25:17
262000 -- [-742.958] (-802.265) (-800.341) (-790.795) * (-786.596) [-740.249] (-787.617) (-798.413) -- 0:25:15
263000 -- [-733.522] (-803.727) (-797.375) (-796.944) * (-788.096) [-739.521] (-793.825) (-791.671) -- 0:25:13
264000 -- [-738.649] (-798.575) (-795.468) (-800.049) * (-784.525) [-737.193] (-794.860) (-793.633) -- 0:25:11
265000 -- [-743.179] (-787.773) (-784.774) (-798.359) * (-788.630) [-735.279] (-788.804) (-796.475) -- 0:25:08
Average standard deviation of split frequencies: 0.017054
266000 -- [-739.586] (-802.929) (-782.269) (-796.206) * (-783.374) [-738.041] (-788.498) (-802.326) -- 0:25:06
267000 -- [-733.379] (-807.901) (-793.714) (-784.407) * (-793.046) [-737.393] (-792.550) (-799.007) -- 0:25:04
268000 -- [-733.005] (-812.391) (-787.280) (-783.742) * (-787.028) [-746.689] (-790.147) (-795.780) -- 0:25:04
269000 -- [-741.913] (-796.888) (-787.399) (-775.046) * (-784.455) [-759.076] (-789.756) (-790.150) -- 0:25:02
270000 -- [-735.674] (-794.657) (-800.072) (-776.695) * (-785.029) [-760.018] (-793.408) (-805.744) -- 0:24:57
Average standard deviation of split frequencies: 0.017136
271000 -- [-745.396] (-800.848) (-787.248) (-784.434) * (-789.822) [-745.665] (-804.955) (-799.350) -- 0:24:58
272000 -- [-742.972] (-791.650) (-791.258) (-789.805) * (-790.669) [-754.287] (-819.956) (-788.763) -- 0:24:56
273000 -- [-742.701] (-789.105) (-805.759) (-796.040) * (-787.547) [-746.991] (-814.988) (-793.996) -- 0:24:53
274000 -- [-748.133] (-796.819) (-796.317) (-794.212) * (-792.959) [-739.575] (-808.865) (-790.062) -- 0:24:51
275000 -- [-747.151] (-793.468) (-806.223) (-793.050) * (-786.780) [-740.038] (-805.729) (-791.053) -- 0:24:49
Average standard deviation of split frequencies: 0.017752
276000 -- [-748.156] (-800.259) (-801.301) (-786.873) * (-774.672) [-744.133] (-804.748) (-791.855) -- 0:24:47
277000 -- [-749.098] (-786.678) (-806.168) (-804.675) * (-779.215) [-744.995] (-813.175) (-800.948) -- 0:24:45
278000 -- [-739.404] (-775.620) (-803.976) (-804.314) * (-785.984) [-744.610] (-814.120) (-809.087) -- 0:24:42
279000 -- [-734.498] (-784.510) (-804.808) (-804.535) * (-792.030) [-743.499] (-808.838) (-801.236) -- 0:24:40
280000 -- [-742.112] (-783.575) (-792.631) (-805.405) * (-788.984) [-738.598] (-821.083) (-800.310) -- 0:24:38
Average standard deviation of split frequencies: 0.018923
281000 -- [-733.990] (-780.981) (-798.733) (-810.556) * (-782.871) [-732.989] (-801.657) (-799.097) -- 0:24:36
282000 -- [-740.111] (-779.359) (-787.632) (-814.593) * (-787.515) [-736.892] (-802.044) (-798.361) -- 0:24:34
283000 -- [-744.907] (-781.861) (-780.635) (-802.897) * (-785.112) [-738.934] (-804.371) (-793.615) -- 0:24:32
284000 -- [-734.771] (-786.318) (-793.411) (-803.682) * (-781.134) [-743.614] (-813.388) (-786.836) -- 0:24:27
285000 -- [-732.512] (-788.501) (-797.005) (-797.212) * (-797.544) [-745.212] (-807.380) (-780.383) -- 0:24:25
Average standard deviation of split frequencies: 0.018563
286000 -- [-733.701] (-784.762) (-787.726) (-785.358) * (-794.046) [-738.105] (-805.853) (-787.116) -- 0:24:25
287000 -- [-736.961] (-794.758) (-781.276) (-799.385) * (-792.898) [-735.702] (-811.933) (-798.393) -- 0:24:23
288000 -- [-738.186] (-800.439) (-770.679) (-800.941) * (-780.259) [-731.299] (-815.824) (-789.725) -- 0:24:21
289000 -- [-736.356] (-785.269) (-769.441) (-779.213) * (-781.337) [-739.371] (-803.879) (-795.013) -- 0:24:18
290000 -- [-736.863] (-785.830) (-767.380) (-780.802) * (-793.996) [-735.161] (-796.444) (-800.701) -- 0:24:16
Average standard deviation of split frequencies: 0.018813
291000 -- [-744.729] (-783.652) (-769.798) (-801.817) * (-783.160) [-741.345] (-803.214) (-803.137) -- 0:24:14
292000 -- [-738.203] (-799.146) (-776.060) (-798.738) * (-783.894) [-741.278] (-810.825) (-805.666) -- 0:24:12
293000 -- [-744.664] (-787.018) (-777.001) (-803.389) * (-786.131) [-741.800] (-807.097) (-806.154) -- 0:24:10
294000 -- [-747.531] (-778.649) (-783.320) (-790.688) * (-793.287) [-738.296] (-794.621) (-803.838) -- 0:24:08
295000 -- [-742.454] (-783.915) (-787.615) (-790.995) * (-800.583) [-730.499] (-796.087) (-791.403) -- 0:24:05
Average standard deviation of split frequencies: 0.019030
296000 -- [-737.477] (-786.894) (-783.335) (-788.927) * (-784.515) [-736.014] (-799.538) (-788.352) -- 0:24:06
297000 -- [-737.917] (-790.190) (-784.354) (-801.864) * (-782.028) [-735.508] (-795.728) (-783.959) -- 0:24:03
298000 -- [-742.022] (-786.727) (-779.361) (-798.675) * (-787.078) [-736.675] (-798.075) (-790.582) -- 0:24:01
299000 -- [-746.427] (-785.418) (-782.606) (-798.518) * (-790.154) [-733.715] (-794.135) (-789.379) -- 0:23:59
300000 -- [-738.376] (-791.110) (-779.944) (-803.637) * (-785.806) [-731.283] (-799.427) (-792.743) -- 0:23:57
Average standard deviation of split frequencies: 0.018869
301000 -- [-739.020] (-776.389) (-774.154) (-813.143) * (-784.631) [-740.037] (-795.870) (-795.304) -- 0:23:55
302000 -- [-750.308] (-775.029) (-786.934) (-796.579) * (-781.660) [-737.026] (-803.457) (-800.771) -- 0:23:52
303000 -- [-752.725] (-779.882) (-785.910) (-786.356) * (-782.737) [-741.701] (-798.004) (-799.937) -- 0:23:50
304000 -- [-747.827] (-772.513) (-784.256) (-806.475) * (-786.947) [-739.284] (-803.526) (-787.136) -- 0:23:48
305000 -- [-751.366] (-787.862) (-775.329) (-802.884) * (-797.255) [-735.250] (-805.157) (-783.141) -- 0:23:46
Average standard deviation of split frequencies: 0.019165
306000 -- [-749.133] (-790.626) (-783.194) (-794.437) * (-794.982) [-736.104] (-797.905) (-795.409) -- 0:23:44
307000 -- [-735.164] (-797.100) (-786.076) (-795.522) * (-791.537) [-733.600] (-795.295) (-783.672) -- 0:23:42
308000 -- [-731.819] (-801.520) (-779.663) (-785.346) * (-795.862) [-736.349] (-806.560) (-785.598) -- 0:23:39
309000 -- [-739.685] (-800.466) (-781.637) (-788.412) * (-801.165) [-729.390] (-793.055) (-780.624) -- 0:23:37
310000 -- [-738.906] (-792.082) (-780.680) (-788.727) * (-801.954) [-743.429] (-790.068) (-788.956) -- 0:23:35
Average standard deviation of split frequencies: 0.018877
311000 -- [-736.994] (-800.114) (-779.945) (-786.704) * (-802.688) [-735.861] (-792.413) (-787.211) -- 0:23:33
312000 -- [-742.271] (-793.986) (-783.919) (-795.477) * (-794.638) [-736.238] (-795.451) (-787.970) -- 0:23:31
313000 -- [-738.073] (-787.745) (-783.295) (-788.871) * (-798.984) [-737.557] (-797.237) (-796.196) -- 0:23:29
314000 -- [-734.881] (-782.270) (-787.079) (-790.115) * (-802.315) [-740.910] (-807.594) (-794.428) -- 0:23:26
315000 -- [-733.183] (-781.217) (-793.761) (-795.007) * (-798.490) [-737.130] (-792.200) (-785.305) -- 0:23:24
Average standard deviation of split frequencies: 0.019267
316000 -- [-728.596] (-777.670) (-800.343) (-805.807) * (-804.132) [-743.442] (-795.623) (-789.345) -- 0:23:22
317000 -- [-729.449] (-777.883) (-784.218) (-802.479) * (-805.699) [-746.043] (-796.186) (-786.919) -- 0:23:20
318000 -- [-738.618] (-775.957) (-782.183) (-799.983) * (-806.174) [-742.351] (-795.666) (-786.180) -- 0:23:18
319000 -- [-743.685] (-773.191) (-786.092) (-800.329) * (-799.404) [-751.805] (-810.947) (-781.858) -- 0:23:16
320000 -- [-741.766] (-775.007) (-784.848) (-801.359) * (-803.403) [-756.875] (-796.228) (-778.781) -- 0:23:14
Average standard deviation of split frequencies: 0.020201
321000 -- [-755.514] (-776.376) (-790.722) (-799.959) * (-806.532) [-750.281] (-798.477) (-789.753) -- 0:23:11
322000 -- [-739.702] (-773.965) (-789.338) (-782.930) * (-801.931) [-742.146] (-815.038) (-782.908) -- 0:23:09
323000 -- [-738.308] (-786.089) (-787.243) (-787.965) * (-795.720) [-740.074] (-798.194) (-782.699) -- 0:23:07
324000 -- [-755.959] (-780.247) (-778.046) (-791.345) * (-787.739) [-737.370] (-819.827) (-775.502) -- 0:23:05
325000 -- [-762.699] (-779.039) (-786.510) (-795.574) * (-789.753) [-736.833] (-812.012) (-777.260) -- 0:23:03
Average standard deviation of split frequencies: 0.019877
326000 -- [-751.203] (-779.211) (-782.317) (-799.521) * (-797.625) [-741.577] (-810.904) (-788.105) -- 0:23:01
327000 -- [-735.452] (-780.735) (-780.032) (-783.101) * (-803.017) [-745.990] (-817.732) (-791.575) -- 0:22:58
328000 -- [-732.791] (-780.814) (-783.445) (-788.983) * (-793.886) [-752.790] (-808.245) (-799.586) -- 0:22:56
329000 -- [-738.751] (-790.600) (-769.813) (-794.399) * (-792.999) [-752.021] (-793.804) (-797.415) -- 0:22:54
330000 -- [-747.617] (-794.841) (-767.516) (-795.597) * (-791.939) [-756.104] (-782.724) (-807.349) -- 0:22:52
Average standard deviation of split frequencies: 0.020573
331000 -- [-748.256] (-787.920) (-763.705) (-807.452) * (-795.766) [-761.394] (-796.582) (-800.988) -- 0:22:50
332000 -- [-738.939] (-775.118) (-770.420) (-809.186) * (-803.073) [-755.027] (-801.042) (-796.262) -- 0:22:48
333000 -- [-737.630] (-782.746) (-782.523) (-821.079) * (-810.482) [-745.607] (-800.161) (-800.958) -- 0:22:48
334000 -- [-739.496] (-787.017) (-784.687) (-814.648) * (-805.410) [-749.048] (-789.717) (-794.865) -- 0:22:45
335000 -- [-740.098] (-786.679) (-782.846) (-810.041) * (-811.150) [-751.877] (-790.414) (-788.190) -- 0:22:43
Average standard deviation of split frequencies: 0.021259
336000 -- [-740.410] (-784.514) (-777.845) (-809.437) * (-804.334) [-743.451] (-787.834) (-784.592) -- 0:22:41
337000 -- [-740.365] (-783.582) (-771.495) (-803.415) * (-795.735) [-739.133] (-792.709) (-780.532) -- 0:22:39
338000 -- [-742.024] (-782.084) (-780.779) (-797.986) * (-798.688) [-743.290] (-798.119) (-784.454) -- 0:22:37
339000 -- [-732.204] (-790.531) (-778.069) (-794.777) * (-801.159) [-743.002] (-798.767) (-787.265) -- 0:22:35
340000 -- [-734.289] (-791.884) (-779.948) (-799.018) * (-804.380) [-734.811] (-803.628) (-784.965) -- 0:22:33
Average standard deviation of split frequencies: 0.021671
341000 -- [-737.101] (-801.537) (-778.468) (-803.272) * (-799.429) [-738.943] (-805.967) (-779.817) -- 0:22:30
342000 -- [-733.506] (-795.647) (-781.229) (-795.145) * (-801.940) [-732.898] (-802.042) (-776.441) -- 0:22:28
343000 -- [-727.241] (-786.923) (-783.663) (-803.821) * (-798.438) [-739.122] (-802.799) (-776.971) -- 0:22:26
344000 -- [-737.752] (-796.417) (-773.812) (-806.955) * (-808.711) [-736.862] (-802.229) (-774.898) -- 0:22:24
345000 -- [-735.119] (-777.430) (-773.175) (-800.245) * (-797.941) [-746.079] (-802.240) (-783.477) -- 0:22:22
Average standard deviation of split frequencies: 0.020898
346000 -- [-731.928] (-787.462) (-780.261) (-805.526) * (-794.426) [-745.339] (-826.305) (-781.409) -- 0:22:20
347000 -- [-737.889] (-780.854) (-776.042) (-795.026) * (-795.097) [-746.851] (-805.088) (-792.477) -- 0:22:17
348000 -- [-735.692] (-789.200) (-779.331) (-799.492) * (-792.985) [-732.438] (-804.914) (-800.595) -- 0:22:15
349000 -- [-740.816] (-781.384) (-780.404) (-805.599) * (-796.283) [-734.734] (-800.486) (-795.083) -- 0:22:13
350000 -- [-748.692] (-785.486) (-773.526) (-803.625) * (-792.849) [-740.328] (-791.186) (-784.792) -- 0:22:11
Average standard deviation of split frequencies: 0.020484
351000 -- [-745.139] (-777.093) (-772.998) (-802.306) * (-807.687) [-736.546] (-792.319) (-794.154) -- 0:22:09
352000 -- [-743.808] (-771.112) (-776.289) (-795.926) * (-790.969) [-748.211] (-793.383) (-794.753) -- 0:22:07
353000 -- [-743.723] (-784.334) (-765.628) (-791.680) * (-787.539) [-740.768] (-795.960) (-800.223) -- 0:22:05
354000 -- [-756.251] (-782.917) (-775.452) (-806.590) * (-790.142) [-733.496] (-791.777) (-786.938) -- 0:22:03
355000 -- [-755.988] (-785.191) (-783.034) (-784.984) * (-797.787) [-731.574] (-800.616) (-781.428) -- 0:22:00
Average standard deviation of split frequencies: 0.021054
356000 -- [-750.130] (-792.359) (-783.336) (-792.416) * (-793.075) [-740.073] (-787.249) (-788.930) -- 0:21:58
357000 -- [-747.975] (-791.422) (-786.620) (-794.982) * (-802.050) [-744.805] (-795.544) (-776.524) -- 0:21:56
358000 -- [-743.671] (-787.649) (-792.018) (-797.659) * (-800.511) [-739.530] (-791.597) (-788.401) -- 0:21:54
359000 -- [-748.696] (-797.397) (-776.956) (-798.801) * (-801.410) [-739.259] (-791.715) (-805.942) -- 0:21:52
360000 -- [-741.085] (-791.274) (-795.084) (-792.447) * (-796.435) [-740.462] (-795.172) (-817.582) -- 0:21:50
Average standard deviation of split frequencies: 0.022087
361000 -- [-745.439] (-791.187) (-778.660) (-803.341) * (-796.211) [-741.628] (-800.402) (-819.069) -- 0:21:48
362000 -- [-739.574] (-801.547) (-772.994) (-795.594) * (-794.733) [-747.170] (-803.720) (-799.717) -- 0:21:45
363000 -- [-744.564] (-780.069) (-764.092) (-802.434) * (-796.847) [-744.054] (-801.320) (-806.965) -- 0:21:43
364000 -- [-742.815] (-815.816) (-785.508) (-778.363) * (-788.894) [-752.143] (-786.532) (-800.370) -- 0:21:41
365000 -- [-741.000] (-786.147) (-783.508) (-790.476) * (-789.891) [-745.458] (-806.503) (-802.455) -- 0:21:39
Average standard deviation of split frequencies: 0.022077
366000 -- [-744.477] (-797.754) (-767.582) (-799.737) * (-789.651) [-746.719] (-805.735) (-798.072) -- 0:21:37
367000 -- [-750.004] (-792.663) (-775.942) (-792.444) * (-799.169) [-738.031] (-797.959) (-800.900) -- 0:21:35
368000 -- [-746.070] (-782.649) (-780.206) (-791.670) * (-779.236) [-738.307] (-784.825) (-804.478) -- 0:21:33
369000 -- [-747.857] (-778.248) (-768.329) (-792.328) * (-775.378) [-744.031] (-793.477) (-797.096) -- 0:21:31
370000 -- [-744.610] (-781.447) (-776.505) (-797.223) * (-784.363) [-740.887] (-790.070) (-790.819) -- 0:21:28
Average standard deviation of split frequencies: 0.020527
371000 -- [-744.128] (-775.780) (-773.205) (-795.925) * (-780.115) [-733.035] (-789.222) (-801.472) -- 0:21:26
372000 -- [-731.122] (-803.005) (-769.380) (-789.237) * (-781.876) [-733.420] (-787.783) (-800.754) -- 0:21:24
373000 -- [-730.914] (-797.944) (-773.697) (-806.979) * (-784.823) [-739.218] (-794.795) (-799.359) -- 0:21:22
374000 -- [-738.543] (-811.851) (-773.901) (-796.960) * (-786.384) [-735.373] (-798.421) (-807.071) -- 0:21:20
375000 -- [-737.997] (-798.076) (-779.033) (-784.815) * (-790.371) [-735.632] (-787.784) (-799.366) -- 0:21:20
Average standard deviation of split frequencies: 0.020588
376000 -- [-737.530] (-798.655) (-770.233) (-788.735) * (-789.675) [-732.132] (-801.067) (-806.884) -- 0:21:17
377000 -- [-739.870] (-810.960) (-777.362) (-799.549) * (-785.029) [-747.345] (-794.350) (-800.470) -- 0:21:15
378000 -- [-739.389] (-799.124) (-771.709) (-802.044) * (-793.912) [-735.784] (-801.790) (-813.575) -- 0:21:13
379000 -- [-748.213] (-795.125) (-772.266) (-798.235) * (-786.275) [-740.680] (-791.710) (-803.422) -- 0:21:11
380000 -- [-750.167] (-794.226) (-782.971) (-792.057) * (-793.673) [-734.948] (-805.148) (-784.735) -- 0:21:09
Average standard deviation of split frequencies: 0.021210
381000 -- [-757.768] (-796.164) (-771.560) (-789.362) * (-785.873) [-735.980] (-818.934) (-789.214) -- 0:21:07
382000 -- [-744.853] (-794.295) (-772.979) (-796.946) * (-788.185) [-735.926] (-803.235) (-781.445) -- 0:21:05
383000 -- [-744.769] (-791.242) (-770.048) (-807.543) * (-799.611) [-736.022] (-804.235) (-789.724) -- 0:21:02
384000 -- [-739.030] (-802.205) (-781.496) (-792.214) * (-797.563) [-737.119] (-807.262) (-786.517) -- 0:21:00
385000 -- [-746.575] (-786.390) (-786.366) (-797.378) * (-793.497) [-746.698] (-804.209) (-777.818) -- 0:20:58
Average standard deviation of split frequencies: 0.020720
386000 -- [-743.731] (-787.015) (-794.740) (-809.436) * (-803.524) [-747.495] (-802.499) (-789.457) -- 0:20:58
387000 -- [-746.730] (-788.590) (-773.395) (-812.940) * (-791.299) [-731.507] (-813.449) (-785.073) -- 0:20:56
388000 -- [-744.211] (-786.363) (-783.046) (-805.220) * (-799.035) [-734.381] (-811.697) (-782.328) -- 0:20:53
389000 -- [-746.953] (-778.937) (-776.769) (-802.248) * (-808.388) [-730.600] (-808.159) (-786.317) -- 0:20:51
390000 -- [-742.115] (-779.971) (-775.698) (-794.268) * (-804.074) [-730.353] (-802.346) (-788.473) -- 0:20:49
Average standard deviation of split frequencies: 0.021085
391000 -- [-738.138] (-768.421) (-777.695) (-771.555) * (-810.077) [-744.321] (-792.397) (-786.414) -- 0:20:47
392000 -- [-736.868] (-781.534) (-780.975) (-785.950) * (-801.315) [-733.024] (-795.805) (-781.333) -- 0:20:45
393000 -- [-734.219] (-783.259) (-782.898) (-780.517) * (-806.065) [-736.956] (-800.325) (-775.979) -- 0:20:43
394000 -- [-735.221] (-776.674) (-778.027) (-785.068) * (-797.013) [-738.861] (-801.051) (-782.596) -- 0:20:41
395000 -- [-744.633] (-784.854) (-783.044) (-781.695) * (-789.982) [-732.343] (-796.451) (-783.162) -- 0:20:39
Average standard deviation of split frequencies: 0.021024
396000 -- [-737.783] (-779.689) (-776.609) (-793.650) * (-783.329) [-738.819] (-796.034) (-791.308) -- 0:20:36
397000 -- [-735.846] (-786.770) (-781.789) (-819.797) * (-793.324) [-742.166] (-795.410) (-789.204) -- 0:20:34
398000 -- [-745.156] (-789.290) (-789.723) (-804.452) * (-806.650) [-739.274] (-790.322) (-791.335) -- 0:20:32
399000 -- [-739.915] (-790.904) (-784.209) (-808.507) * (-819.960) [-743.752] (-786.584) (-789.782) -- 0:20:30
400000 -- [-747.155] (-794.738) (-788.398) (-808.403) * (-806.097) [-734.467] (-798.812) (-794.256) -- 0:20:28
Average standard deviation of split frequencies: 0.020758
401000 -- [-736.348] (-795.770) (-784.549) (-798.992) * (-791.039) [-737.766] (-795.866) (-787.123) -- 0:20:26
402000 -- [-738.858] (-780.709) (-789.014) (-790.013) * (-789.650) [-738.822] (-800.449) (-789.572) -- 0:20:24
403000 -- [-744.452] (-774.880) (-778.262) (-799.258) * (-794.372) [-738.020] (-791.232) (-798.354) -- 0:20:22
404000 -- [-745.964] (-772.503) (-778.966) (-797.360) * (-793.304) [-735.809] (-799.440) (-788.206) -- 0:20:20
405000 -- [-747.446] (-777.762) (-779.416) (-794.632) * (-787.794) [-738.451] (-802.735) (-793.384) -- 0:20:17
Average standard deviation of split frequencies: 0.020635
406000 -- [-741.359] (-791.527) (-772.832) (-804.754) * (-797.455) [-738.604] (-795.073) (-793.876) -- 0:20:15
407000 -- [-747.142] (-776.158) (-778.940) (-811.324) * (-792.418) [-738.918] (-799.952) (-791.681) -- 0:20:13
408000 -- [-737.222] (-793.765) (-781.828) (-807.864) * (-796.213) [-741.949] (-799.250) (-791.066) -- 0:20:11
409000 -- [-731.970] (-801.463) (-784.226) (-821.818) * (-785.418) [-749.641] (-806.382) (-793.756) -- 0:20:09
410000 -- [-732.741] (-791.199) (-770.383) (-813.550) * (-783.856) [-749.540] (-803.387) (-781.586) -- 0:20:07
Average standard deviation of split frequencies: 0.020326
411000 -- [-734.592] (-792.477) (-769.623) (-818.800) * (-786.047) [-731.961] (-799.421) (-782.712) -- 0:20:05
412000 -- [-742.300] (-786.006) (-772.905) (-809.671) * (-786.931) [-739.263] (-793.207) (-780.171) -- 0:20:03
413000 -- [-736.931] (-797.441) (-774.098) (-815.440) * (-787.584) [-738.621] (-807.413) (-787.926) -- 0:20:01
414000 -- [-734.585] (-794.237) (-777.677) (-814.411) * (-789.040) [-743.076] (-793.250) (-786.147) -- 0:19:58
415000 -- [-735.185] (-780.288) (-774.191) (-815.339) * (-784.266) [-746.840] (-795.185) (-793.122) -- 0:19:56
Average standard deviation of split frequencies: 0.019900
416000 -- [-741.770] (-782.081) (-773.673) (-805.821) * (-783.343) [-748.721] (-801.809) (-792.303) -- 0:19:56
417000 -- [-741.810] (-790.374) (-782.558) (-804.165) * (-779.202) [-754.213] (-816.752) (-792.985) -- 0:19:53
418000 -- [-728.511] (-777.795) (-777.673) (-824.293) * (-792.359) [-751.740] (-811.145) (-783.040) -- 0:19:51
419000 -- [-731.438] (-779.591) (-791.218) (-813.649) * (-789.367) [-739.075] (-812.482) (-796.986) -- 0:19:49
420000 -- [-736.422] (-777.942) (-783.271) (-818.808) * (-792.274) [-747.232] (-821.369) (-794.315) -- 0:19:47
Average standard deviation of split frequencies: 0.018834
421000 -- [-741.456] (-779.152) (-780.102) (-822.944) * (-790.808) [-744.749] (-813.460) (-807.904) -- 0:19:45
422000 -- [-744.818] (-779.227) (-778.617) (-818.032) * (-791.987) [-745.416] (-821.054) (-798.616) -- 0:19:43
423000 -- [-747.617] (-788.220) (-778.433) (-818.385) * (-796.582) [-740.086] (-820.437) (-792.568) -- 0:19:41
424000 -- [-736.185] (-775.463) (-774.455) (-812.358) * (-797.203) [-743.882] (-810.520) (-794.442) -- 0:19:39
425000 -- [-737.846] (-767.712) (-791.826) (-804.071) * (-793.015) [-735.498] (-805.067) (-795.782) -- 0:19:37
Average standard deviation of split frequencies: 0.018981
426000 -- [-737.911] (-776.653) (-769.219) (-795.966) * (-793.394) [-736.693] (-806.236) (-783.552) -- 0:19:34
427000 -- [-761.953] (-773.979) (-769.210) (-796.454) * (-795.329) [-737.606] (-805.973) (-784.835) -- 0:19:32
428000 -- [-741.789] (-782.500) (-773.246) (-800.966) * (-803.186) [-736.170] (-801.263) (-783.465) -- 0:19:30
429000 -- [-744.270] (-780.413) (-782.450) (-801.399) * (-813.560) [-735.538] (-805.261) (-789.673) -- 0:19:28
430000 -- [-739.960] (-787.066) (-774.924) (-803.109) * (-801.171) [-741.731] (-811.186) (-793.930) -- 0:19:26
Average standard deviation of split frequencies: 0.018512
431000 -- [-742.493] (-771.316) (-781.832) (-796.655) * (-805.857) [-738.448] (-800.703) (-790.753) -- 0:19:25
432000 -- [-733.634] (-768.430) (-768.888) (-797.317) * (-809.552) [-746.475] (-789.607) (-797.523) -- 0:19:23
433000 -- [-734.121] (-779.709) (-785.643) (-784.073) * (-807.895) [-750.189] (-790.872) (-791.425) -- 0:19:21
434000 -- [-740.849] (-774.822) (-778.169) (-786.203) * (-795.794) [-750.892] (-787.169) (-793.123) -- 0:19:19
435000 -- [-741.596] (-787.245) (-788.951) (-781.325) * (-798.990) [-745.753] (-793.393) (-799.856) -- 0:19:17
Average standard deviation of split frequencies: 0.018979
436000 -- [-748.435] (-793.233) (-789.964) (-787.966) * (-815.144) [-744.075] (-790.665) (-801.399) -- 0:19:15
437000 -- [-744.053] (-792.840) (-780.291) (-799.300) * (-810.380) [-741.534] (-788.008) (-802.192) -- 0:19:13
438000 -- [-751.260] (-801.303) (-777.918) (-791.961) * (-804.976) [-746.976] (-792.719) (-794.753) -- 0:19:10
439000 -- [-747.145] (-793.899) (-779.818) (-796.533) * (-803.181) [-733.556] (-794.681) (-795.344) -- 0:19:07
440000 -- [-738.768] (-793.933) (-774.018) (-794.233) * (-798.855) [-738.839] (-791.000) (-795.892) -- 0:19:05
Average standard deviation of split frequencies: 0.018505
441000 -- [-740.880] (-792.631) (-776.222) (-795.581) * (-796.811) [-744.792] (-791.101) (-791.756) -- 0:19:03
442000 -- [-738.845] (-792.790) (-774.612) (-795.681) * (-795.396) [-741.538] (-796.035) (-803.149) -- 0:19:01
443000 -- [-733.859] (-786.658) (-774.730) (-815.522) * (-798.839) [-744.950] (-798.976) (-790.883) -- 0:18:59
444000 -- [-739.341] (-793.123) (-780.862) (-822.673) * (-791.782) [-748.330] (-797.701) (-786.236) -- 0:18:57
445000 -- [-741.886] (-791.228) (-771.439) (-821.384) * (-784.103) [-741.619] (-801.941) (-780.802) -- 0:18:54
Average standard deviation of split frequencies: 0.018686
446000 -- [-741.840] (-797.780) (-767.780) (-822.769) * (-790.299) [-740.905] (-806.026) (-794.497) -- 0:18:52
447000 -- [-734.336] (-794.653) (-776.729) (-798.987) * (-795.738) [-741.730] (-815.312) (-784.562) -- 0:18:50
448000 -- [-736.162] (-786.788) (-770.098) (-797.771) * (-796.155) [-741.773] (-817.973) (-791.579) -- 0:18:48
449000 -- [-736.948] (-799.508) (-775.674) (-814.519) * (-776.896) [-740.198] (-808.890) (-792.463) -- 0:18:46
450000 -- [-735.338] (-787.456) (-788.905) (-799.579) * (-799.015) [-735.813] (-816.829) (-797.522) -- 0:18:44
Average standard deviation of split frequencies: 0.019095
451000 -- [-741.309] (-794.376) (-788.941) (-790.056) * (-804.107) [-737.921] (-816.437) (-783.574) -- 0:18:43
452000 -- [-734.334] (-814.889) (-771.200) (-807.501) * (-799.204) [-735.368] (-812.916) (-782.859) -- 0:18:41
453000 -- [-736.027] (-810.218) (-768.684) (-793.485) * (-807.165) [-732.613] (-817.581) (-794.070) -- 0:18:39
454000 -- [-730.273] (-796.712) (-775.344) (-789.332) * (-797.827) [-730.495] (-813.547) (-791.088) -- 0:18:37
455000 -- [-732.674] (-792.102) (-778.637) (-796.110) * (-797.436) [-731.086] (-824.966) (-790.984) -- 0:18:35
Average standard deviation of split frequencies: 0.018756
456000 -- [-734.907] (-794.100) (-779.649) (-807.645) * (-801.753) [-737.570] (-801.314) (-786.405) -- 0:18:33
457000 -- [-736.302] (-784.767) (-776.854) (-808.712) * (-813.996) [-734.379] (-788.459) (-789.149) -- 0:18:30
458000 -- [-748.466] (-783.534) (-771.989) (-801.446) * (-804.084) [-738.460] (-795.090) (-785.578) -- 0:18:28
459000 -- [-742.996] (-789.869) (-776.143) (-807.615) * (-797.408) [-752.144] (-795.633) (-797.259) -- 0:18:26
460000 -- [-731.521] (-788.595) (-775.159) (-810.515) * (-795.508) [-746.398] (-794.377) (-785.295) -- 0:18:24
Average standard deviation of split frequencies: 0.018010
461000 -- [-732.262] (-777.836) (-779.818) (-803.565) * (-790.388) [-738.543] (-803.368) (-779.422) -- 0:18:22
462000 -- [-728.103] (-783.232) (-774.724) (-805.422) * (-790.533) [-743.761] (-820.521) (-775.871) -- 0:18:20
463000 -- [-739.871] (-798.190) (-786.349) (-810.155) * (-802.744) [-737.903] (-805.062) (-782.317) -- 0:18:18
464000 -- [-746.989] (-788.104) (-776.983) (-804.991) * (-806.493) [-739.238] (-795.166) (-780.107) -- 0:18:17
465000 -- [-741.909] (-775.848) (-791.852) (-823.685) * (-807.679) [-737.369] (-798.727) (-786.304) -- 0:18:15
Average standard deviation of split frequencies: 0.017775
466000 -- [-744.771] (-778.400) (-776.558) (-805.535) * (-801.869) [-746.008] (-799.662) (-789.626) -- 0:18:13
467000 -- [-740.714] (-780.308) (-782.570) (-794.649) * (-800.690) [-746.980] (-800.063) (-793.279) -- 0:18:11
468000 -- [-736.554] (-787.808) (-778.767) (-806.837) * (-795.733) [-741.746] (-804.897) (-792.286) -- 0:18:09
469000 -- [-739.946] (-803.317) (-787.140) (-803.465) * (-789.049) [-735.172] (-797.010) (-778.972) -- 0:18:06
470000 -- [-747.203] (-809.411) (-785.506) (-797.805) * (-790.133) [-741.132] (-793.962) (-781.189) -- 0:18:04
Average standard deviation of split frequencies: 0.017682
471000 -- [-746.260] (-810.442) (-770.377) (-806.251) * (-790.334) [-743.575] (-795.684) (-786.462) -- 0:18:02
472000 -- [-740.240] (-806.709) (-777.157) (-811.963) * (-794.339) [-738.893] (-800.876) (-798.515) -- 0:18:01
473000 -- [-738.391] (-820.159) (-779.635) (-803.619) * (-783.633) [-739.069] (-807.686) (-786.653) -- 0:17:59
474000 -- [-732.920] (-815.716) (-784.451) (-796.705) * (-784.634) [-737.789] (-798.657) (-782.000) -- 0:17:57
475000 -- [-742.138] (-817.319) (-776.675) (-800.284) * (-789.206) [-733.216] (-800.727) (-784.811) -- 0:17:55
Average standard deviation of split frequencies: 0.017808
476000 -- [-735.812] (-811.427) (-787.155) (-790.885) * (-795.880) [-730.424] (-799.631) (-788.150) -- 0:17:53
477000 -- [-742.744] (-811.720) (-777.000) (-787.515) * (-797.496) [-739.503] (-809.724) (-791.279) -- 0:17:51
478000 -- [-744.922] (-818.610) (-785.323) (-796.223) * (-795.271) [-743.382] (-823.211) (-787.361) -- 0:17:49
479000 -- [-737.748] (-813.203) (-786.559) (-798.938) * (-788.859) [-743.082] (-818.009) (-792.521) -- 0:17:47
480000 -- [-736.339] (-795.643) (-780.020) (-795.906) * (-789.634) [-740.767] (-806.582) (-793.110) -- 0:17:44
Average standard deviation of split frequencies: 0.018295
481000 -- [-742.086] (-800.582) (-785.301) (-793.804) * (-783.878) [-738.917] (-803.270) (-791.361) -- 0:17:42
482000 -- [-742.120] (-805.201) (-782.653) (-793.519) * (-778.931) [-749.237] (-801.275) (-791.095) -- 0:17:40
483000 -- [-739.352] (-803.551) (-780.783) (-789.434) * (-784.559) [-738.125] (-807.790) (-788.172) -- 0:17:38
484000 -- [-736.361] (-816.386) (-784.016) (-795.595) * (-789.841) [-743.641] (-800.993) (-788.450) -- 0:17:36
485000 -- [-737.422] (-798.006) (-774.802) (-786.014) * (-792.474) [-735.986] (-806.602) (-792.459) -- 0:17:34
Average standard deviation of split frequencies: 0.018603
486000 -- [-731.740] (-791.832) (-777.452) (-800.155) * (-795.403) [-735.829] (-799.671) (-791.234) -- 0:17:32
487000 -- [-731.804] (-777.116) (-786.778) (-799.973) * (-806.322) [-727.155] (-809.528) (-793.740) -- 0:17:30
488000 -- [-732.162] (-780.071) (-773.670) (-798.333) * (-800.358) [-737.892] (-801.676) (-797.510) -- 0:17:28
489000 -- [-738.063] (-778.764) (-787.645) (-806.524) * (-802.119) [-729.010] (-798.811) (-794.346) -- 0:17:26
490000 -- [-752.331] (-776.797) (-779.356) (-796.023) * (-803.970) [-735.646] (-794.601) (-794.075) -- 0:17:23
Average standard deviation of split frequencies: 0.018201
491000 -- [-746.549] (-782.636) (-775.794) (-779.664) * (-796.903) [-740.471] (-802.445) (-794.070) -- 0:17:21
492000 -- [-744.362] (-789.160) (-779.425) (-789.266) * (-811.759) [-745.021] (-805.386) (-796.457) -- 0:17:19
493000 -- [-749.281] (-779.870) (-784.278) (-789.027) * (-804.998) [-750.690] (-792.756) (-790.390) -- 0:17:18
494000 -- [-748.894] (-790.149) (-788.799) (-784.222) * (-794.040) [-734.721] (-801.572) (-788.560) -- 0:17:16
495000 -- [-746.051] (-792.541) (-795.055) (-797.049) * (-785.581) [-738.731] (-802.007) (-782.822) -- 0:17:14
Average standard deviation of split frequencies: 0.018165
496000 -- [-743.251] (-793.217) (-790.524) (-791.829) * (-790.342) [-744.455] (-798.442) (-788.772) -- 0:17:12
497000 -- [-739.000] (-795.673) (-795.124) (-782.815) * (-787.940) [-746.252] (-809.429) (-784.424) -- 0:17:10
498000 -- [-746.414] (-809.058) (-787.247) (-780.780) * (-798.863) [-738.388] (-796.652) (-783.645) -- 0:17:08
499000 -- [-741.030] (-807.181) (-788.840) (-785.774) * (-785.089) [-738.074] (-798.845) (-788.485) -- 0:17:06
500000 -- [-742.304] (-797.062) (-783.147) (-784.050) * (-792.146) [-738.126] (-794.778) (-795.293) -- 0:17:04
Average standard deviation of split frequencies: 0.018209
501000 -- [-739.681] (-809.355) (-777.057) (-781.976) * (-796.292) [-735.813] (-801.719) (-790.278) -- 0:17:01
502000 -- [-742.202] (-797.469) (-772.910) (-789.496) * (-792.175) [-728.331] (-803.223) (-806.655) -- 0:16:59
503000 -- [-736.513] (-798.699) (-780.844) (-784.247) * (-794.603) [-741.839] (-807.952) (-792.500) -- 0:16:57
504000 -- [-743.702] (-787.957) (-785.338) (-780.278) * (-792.691) [-737.511] (-808.304) (-793.241) -- 0:16:55
505000 -- [-746.857] (-787.109) (-789.279) (-777.188) * (-793.150) [-741.418] (-803.656) (-798.662) -- 0:16:53
Average standard deviation of split frequencies: 0.018439
506000 -- [-750.437] (-793.027) (-791.117) (-795.803) * (-793.458) [-737.519] (-800.261) (-791.035) -- 0:16:51
507000 -- [-738.905] (-787.638) (-802.749) (-782.247) * (-786.167) [-733.837] (-793.892) (-782.980) -- 0:16:50
508000 -- [-739.203] (-788.106) (-802.799) (-787.469) * (-778.298) [-742.332] (-803.410) (-797.031) -- 0:16:48
509000 -- [-749.036] (-783.763) (-786.640) (-795.890) * (-781.467) [-739.266] (-803.348) (-795.491) -- 0:16:45
510000 -- [-738.720] (-795.471) (-794.372) (-782.694) * (-783.118) [-742.767] (-788.657) (-807.763) -- 0:16:43
Average standard deviation of split frequencies: 0.018120
511000 -- [-738.710] (-784.335) (-788.394) (-792.259) * (-781.081) [-741.810] (-801.328) (-794.633) -- 0:16:40
512000 -- [-743.514] (-786.688) (-801.314) (-787.273) * (-793.332) [-741.358] (-793.074) (-799.913) -- 0:16:38
513000 -- [-748.964] (-784.620) (-781.583) (-787.845) * (-785.140) [-733.749] (-801.926) (-807.490) -- 0:16:36
514000 -- [-743.959] (-775.946) (-799.584) (-794.932) * (-783.005) [-736.167] (-801.367) (-810.678) -- 0:16:34
515000 -- [-740.185] (-778.437) (-794.080) (-795.352) * (-797.379) [-740.512] (-809.858) (-793.555) -- 0:16:33
Average standard deviation of split frequencies: 0.017882
516000 -- [-748.919] (-780.221) (-807.840) (-793.381) * (-788.682) [-742.694] (-811.496) (-801.689) -- 0:16:31
517000 -- [-746.342] (-786.072) (-794.567) (-795.724) * (-782.776) [-743.761] (-810.278) (-793.020) -- 0:16:29
518000 -- [-751.066] (-785.481) (-791.981) (-803.566) * (-787.069) [-754.317] (-801.952) (-800.501) -- 0:16:27
519000 -- [-744.333] (-787.636) (-788.798) (-797.388) * (-788.828) [-752.542] (-799.028) (-802.759) -- 0:16:25
520000 -- [-740.762] (-775.990) (-795.796) (-796.588) * (-784.275) [-746.867] (-796.308) (-817.213) -- 0:16:23
Average standard deviation of split frequencies: 0.018208
521000 -- [-747.868] (-789.256) (-796.216) (-792.994) * (-793.795) [-741.951] (-805.888) (-807.463) -- 0:16:20
522000 -- [-744.057] (-776.712) (-791.089) (-788.318) * (-794.015) [-738.586] (-787.734) (-805.219) -- 0:16:18
523000 -- [-746.949] (-781.708) (-786.614) (-777.747) * (-790.737) [-736.727] (-798.729) (-810.467) -- 0:16:16
524000 -- [-756.759] (-784.720) (-784.539) (-783.843) * (-788.022) [-737.040] (-805.299) (-799.335) -- 0:16:14
525000 -- [-748.703] (-787.904) (-790.466) (-807.739) * (-784.148) [-737.737] (-802.329) (-793.605) -- 0:16:12
Average standard deviation of split frequencies: 0.018071
526000 -- [-747.322] (-787.526) (-800.663) (-809.394) * (-782.219) [-737.128] (-792.867) (-791.928) -- 0:16:10
527000 -- [-752.879] (-796.440) (-784.213) (-797.030) * (-785.853) [-735.730] (-797.509) (-797.074) -- 0:16:08
528000 -- [-743.570] (-781.269) (-785.830) (-801.057) * (-790.571) [-745.525] (-803.886) (-787.803) -- 0:16:06
529000 -- [-753.777] (-795.009) (-789.319) (-804.179) * (-786.549) [-755.490] (-800.720) (-794.514) -- 0:16:04
530000 -- [-751.868] (-779.644) (-789.884) (-799.929) * (-794.864) [-760.380] (-796.014) (-798.930) -- 0:16:03
Average standard deviation of split frequencies: 0.018832
531000 -- [-750.386] (-782.553) (-784.959) (-781.915) * (-778.444) [-751.516] (-797.434) (-817.190) -- 0:16:00
532000 -- [-747.456] (-790.801) (-767.498) (-788.476) * (-783.431) [-750.153] (-803.834) (-820.457) -- 0:15:58
533000 -- [-745.342] (-789.250) (-781.566) (-794.774) * (-787.019) [-741.888] (-804.742) (-814.590) -- 0:15:56
534000 -- [-745.348] (-782.617) (-777.724) (-802.347) * (-794.482) [-743.218] (-812.439) (-805.881) -- 0:15:54
535000 -- [-746.150] (-784.681) (-783.366) (-795.452) * (-795.067) [-740.502] (-820.932) (-816.584) -- 0:15:52
Average standard deviation of split frequencies: 0.018956
536000 -- [-737.670] (-780.678) (-785.622) (-781.649) * (-790.746) [-737.125] (-813.511) (-811.592) -- 0:15:50
537000 -- [-732.959] (-773.868) (-783.037) (-790.941) * (-788.472) [-740.334] (-815.661) (-818.416) -- 0:15:48
538000 -- [-731.923] (-784.826) (-782.878) (-791.577) * (-792.035) [-749.157] (-807.715) (-811.924) -- 0:15:46
539000 -- [-734.133] (-786.504) (-792.059) (-800.668) * (-790.415) [-746.783] (-802.427) (-801.020) -- 0:15:44
540000 -- [-741.259] (-789.046) (-783.229) (-794.080) * (-790.110) [-742.284] (-794.551) (-794.989) -- 0:15:42
Average standard deviation of split frequencies: 0.018979
541000 -- [-740.348] (-780.984) (-799.659) (-786.949) * (-783.923) [-740.201] (-796.915) (-804.488) -- 0:15:40
542000 -- [-736.136] (-787.943) (-792.700) (-790.716) * (-779.259) [-737.448] (-789.874) (-792.127) -- 0:15:38
543000 -- [-740.150] (-797.268) (-788.041) (-784.142) * (-780.969) [-735.748] (-795.113) (-795.698) -- 0:15:36
544000 -- [-739.573] (-792.275) (-786.579) (-785.114) * (-783.850) [-746.401] (-795.560) (-804.871) -- 0:15:34
545000 -- [-737.581] (-782.358) (-786.345) (-784.836) * (-784.249) [-746.089] (-798.469) (-788.359) -- 0:15:32
Average standard deviation of split frequencies: 0.018919
546000 -- [-736.715] (-786.014) (-774.713) (-788.830) * (-794.656) [-740.103] (-786.666) (-792.540) -- 0:15:30
547000 -- [-738.265] (-777.612) (-771.639) (-791.341) * (-800.218) [-737.929] (-781.520) (-803.309) -- 0:15:28
548000 -- [-735.790] (-790.785) (-784.683) (-802.724) * (-790.796) [-741.086] (-781.276) (-795.421) -- 0:15:26
549000 -- [-736.679] (-787.869) (-791.576) (-798.288) * (-794.752) [-738.505] (-787.491) (-796.776) -- 0:15:24
550000 -- [-739.584] (-779.444) (-788.544) (-792.506) * (-805.015) [-738.574] (-784.515) (-786.542) -- 0:15:22
Average standard deviation of split frequencies: 0.019449
551000 -- [-740.027] (-784.397) (-785.605) (-790.644) * (-797.061) [-748.293] (-794.028) (-779.955) -- 0:15:20
552000 -- [-744.152] (-782.380) (-786.141) (-779.505) * (-796.408) [-741.242] (-803.784) (-799.095) -- 0:15:17
553000 -- [-733.587] (-791.179) (-787.320) (-803.293) * (-793.381) [-734.193] (-789.630) (-782.841) -- 0:15:15
554000 -- [-738.223] (-782.675) (-789.089) (-806.145) * (-789.023) [-741.188] (-796.926) (-786.793) -- 0:15:13
555000 -- [-742.304] (-783.564) (-787.665) (-795.772) * (-797.568) [-747.434] (-795.836) (-795.186) -- 0:15:11
Average standard deviation of split frequencies: 0.019158
556000 -- [-742.439] (-781.585) (-786.360) (-790.717) * (-791.695) [-747.161] (-802.621) (-795.710) -- 0:15:09
557000 -- [-737.824] (-779.955) (-780.311) (-798.443) * (-791.305) [-747.452] (-813.745) (-790.709) -- 0:15:07
558000 -- [-734.293] (-776.416) (-781.420) (-807.030) * (-787.308) [-743.183] (-810.908) (-799.525) -- 0:15:05
559000 -- [-731.595] (-775.047) (-786.124) (-812.600) * (-792.995) [-730.739] (-792.287) (-802.151) -- 0:15:03
560000 -- [-740.894] (-777.949) (-783.704) (-799.749) * (-797.414) [-736.522] (-785.249) (-803.363) -- 0:15:01
Average standard deviation of split frequencies: 0.018422
561000 -- [-736.526] (-774.655) (-766.118) (-819.496) * (-781.558) [-743.272] (-792.437) (-786.863) -- 0:14:59
562000 -- [-743.709] (-772.690) (-764.595) (-813.708) * (-781.520) [-733.741] (-810.738) (-794.283) -- 0:14:57
563000 -- [-730.963] (-780.890) (-764.255) (-812.416) * (-788.351) [-742.229] (-800.568) (-796.777) -- 0:14:54
564000 -- [-744.843] (-785.372) (-770.724) (-804.184) * (-800.222) [-739.714] (-790.039) (-795.414) -- 0:14:52
565000 -- [-745.315] (-783.800) (-763.481) (-799.982) * (-807.827) [-736.310] (-791.919) (-800.537) -- 0:14:50
Average standard deviation of split frequencies: 0.017981
566000 -- [-744.262] (-774.860) (-763.141) (-796.630) * (-802.977) [-740.318] (-795.323) (-799.254) -- 0:14:48
567000 -- [-745.115] (-778.405) (-764.311) (-801.402) * (-801.946) [-730.475] (-791.816) (-790.112) -- 0:14:47
568000 -- [-734.214] (-788.770) (-767.206) (-802.148) * (-794.298) [-733.364] (-801.120) (-797.240) -- 0:14:45
569000 -- [-735.695] (-775.763) (-780.157) (-805.090) * (-793.514) [-743.798] (-791.144) (-787.833) -- 0:14:43
570000 -- [-742.999] (-777.291) (-797.714) (-799.782) * (-801.459) [-749.712] (-790.945) (-790.991) -- 0:14:41
Average standard deviation of split frequencies: 0.017716
571000 -- [-741.247] (-782.084) (-785.971) (-798.725) * (-801.602) [-759.551] (-814.494) (-795.768) -- 0:14:39
572000 -- [-735.242] (-780.482) (-783.818) (-791.079) * (-796.466) [-757.060] (-805.237) (-803.134) -- 0:14:36
573000 -- [-734.613] (-783.687) (-783.113) (-799.678) * (-801.162) [-759.220] (-800.512) (-792.540) -- 0:14:34
574000 -- [-732.828] (-788.804) (-800.387) (-793.538) * (-806.033) [-755.120] (-804.707) (-797.827) -- 0:14:32
575000 -- [-743.661] (-783.326) (-788.554) (-802.338) * (-811.037) [-746.800] (-812.444) (-807.415) -- 0:14:30
Average standard deviation of split frequencies: 0.017727
576000 -- [-742.916] (-772.673) (-778.667) (-792.056) * (-789.873) [-737.403] (-810.209) (-802.137) -- 0:14:28
577000 -- [-743.163] (-770.344) (-779.860) (-797.240) * (-803.499) [-740.513] (-812.774) (-801.229) -- 0:14:26
578000 -- [-742.988] (-772.266) (-789.774) (-793.296) * (-808.018) [-743.676] (-817.451) (-804.051) -- 0:14:24
579000 -- [-738.243] (-778.596) (-790.537) (-800.471) * (-806.152) [-737.057] (-810.823) (-802.637) -- 0:14:22
580000 -- [-741.663] (-778.468) (-795.747) (-794.514) * (-796.004) [-728.110] (-808.363) (-809.241) -- 0:14:20
Average standard deviation of split frequencies: 0.017918
581000 -- [-738.768] (-784.652) (-789.790) (-786.897) * (-801.932) [-727.521] (-812.089) (-807.166) -- 0:14:18
582000 -- [-747.973] (-782.084) (-779.349) (-789.077) * (-796.246) [-726.638] (-808.684) (-807.175) -- 0:14:16
583000 -- [-754.579] (-781.622) (-781.897) (-786.739) * (-787.176) [-727.798] (-800.283) (-795.695) -- 0:14:14
584000 -- [-739.972] (-780.163) (-784.466) (-785.535) * (-782.167) [-740.853] (-804.629) (-807.518) -- 0:14:12
585000 -- [-736.728] (-784.592) (-790.342) (-787.543) * (-789.495) [-749.283] (-805.101) (-816.754) -- 0:14:10
Average standard deviation of split frequencies: 0.017543
586000 -- [-740.784] (-783.033) (-789.222) (-785.237) * (-799.880) [-739.888] (-797.844) (-812.056) -- 0:14:08
587000 -- [-749.084] (-782.419) (-793.842) (-789.863) * (-792.260) [-737.962] (-804.975) (-808.417) -- 0:14:06
588000 -- [-740.206] (-787.764) (-799.197) (-790.596) * (-797.666) [-748.967] (-792.421) (-804.706) -- 0:14:04
589000 -- [-742.065] (-785.562) (-791.301) (-795.808) * (-795.038) [-742.686] (-796.219) (-796.381) -- 0:14:02
590000 -- [-741.588] (-790.966) (-792.935) (-788.352) * (-777.337) [-740.893] (-796.984) (-789.788) -- 0:14:00
Average standard deviation of split frequencies: 0.017159
591000 -- [-746.446] (-783.074) (-789.688) (-801.166) * (-779.583) [-746.812] (-780.544) (-801.462) -- 0:13:58
592000 -- [-748.591] (-786.154) (-784.900) (-799.044) * (-777.686) [-739.674] (-794.450) (-793.344) -- 0:13:55
593000 -- [-743.289] (-785.199) (-777.809) (-797.901) * (-787.094) [-733.402] (-788.740) (-796.340) -- 0:13:53
594000 -- [-749.309] (-791.578) (-777.597) (-802.233) * (-785.396) [-734.615] (-794.014) (-789.537) -- 0:13:51
595000 -- [-742.363] (-803.963) (-775.153) (-788.960) * (-786.515) [-740.382] (-792.405) (-804.993) -- 0:13:49
Average standard deviation of split frequencies: 0.017292
596000 -- [-732.714] (-810.075) (-773.968) (-806.173) * (-779.691) [-735.163] (-783.869) (-788.929) -- 0:13:47
597000 -- [-734.759] (-794.771) (-779.534) (-809.768) * (-785.664) [-733.967] (-789.627) (-791.588) -- 0:13:45
598000 -- [-729.053] (-799.404) (-763.475) (-791.373) * (-785.411) [-733.661] (-806.168) (-793.258) -- 0:13:43
599000 -- [-728.956] (-806.370) (-770.047) (-796.667) * (-785.528) [-731.823] (-795.631) (-797.936) -- 0:13:41
600000 -- [-738.208] (-801.908) (-772.061) (-799.446) * (-780.622) [-735.082] (-791.603) (-794.692) -- 0:13:39
Average standard deviation of split frequencies: 0.017816
601000 -- [-733.214] (-807.982) (-778.918) (-790.836) * (-779.179) [-741.416] (-800.620) (-798.582) -- 0:13:37
602000 -- [-732.445] (-789.352) (-783.227) (-796.542) * (-778.872) [-736.510] (-800.503) (-789.445) -- 0:13:35
603000 -- [-738.358] (-791.807) (-786.976) (-784.907) * (-788.908) [-737.327] (-807.099) (-781.686) -- 0:13:33
604000 -- [-749.196] (-799.916) (-779.686) (-793.131) * (-784.278) [-735.588] (-813.112) (-776.148) -- 0:13:31
605000 -- [-749.030] (-789.216) (-779.713) (-793.386) * (-784.396) [-741.175] (-822.798) (-780.536) -- 0:13:28
Average standard deviation of split frequencies: 0.017784
606000 -- [-738.067] (-807.120) (-790.475) (-790.526) * (-790.829) [-746.547] (-815.570) (-786.086) -- 0:13:26
607000 -- [-743.578] (-793.512) (-787.072) (-793.120) * (-794.056) [-744.589] (-822.300) (-793.877) -- 0:13:25
608000 -- [-744.261] (-795.635) (-783.727) (-798.663) * (-789.604) [-742.071] (-816.755) (-789.714) -- 0:13:23
609000 -- [-744.869] (-803.892) (-786.431) (-782.457) * (-796.783) [-738.061] (-801.973) (-806.212) -- 0:13:21
610000 -- [-741.361] (-800.768) (-775.780) (-786.710) * (-790.600) [-749.771] (-809.053) (-803.104) -- 0:13:19
Average standard deviation of split frequencies: 0.017622
611000 -- [-734.693] (-797.900) (-781.217) (-793.024) * (-786.329) [-739.966] (-803.927) (-790.144) -- 0:13:17
612000 -- [-732.625] (-794.192) (-794.448) (-788.610) * (-791.849) [-737.329] (-797.063) (-801.485) -- 0:13:15
613000 -- [-734.617] (-787.287) (-787.281) (-797.260) * (-789.687) [-732.326] (-791.326) (-792.486) -- 0:13:12
614000 -- [-738.723] (-804.630) (-779.349) (-787.633) * (-785.355) [-741.566] (-797.881) (-788.405) -- 0:13:10
615000 -- [-737.012] (-798.233) (-779.280) (-798.148) * (-788.877) [-751.167] (-801.950) (-784.076) -- 0:13:08
Average standard deviation of split frequencies: 0.017707
616000 -- [-735.382] (-796.809) (-788.906) (-812.631) * (-793.984) [-746.529] (-795.322) (-788.768) -- 0:13:06
617000 -- [-737.829] (-795.893) (-778.503) (-797.697) * (-791.452) [-750.127] (-801.568) (-791.710) -- 0:13:04
618000 -- [-747.365] (-795.338) (-780.415) (-806.509) * (-784.210) [-738.395] (-792.868) (-799.015) -- 0:13:02
619000 -- [-749.875] (-795.198) (-784.285) (-812.384) * (-782.003) [-739.004] (-798.725) (-796.230) -- 0:13:01
620000 -- [-744.353] (-790.119) (-780.240) (-820.848) * (-780.257) [-738.961] (-806.004) (-806.096) -- 0:12:59
Average standard deviation of split frequencies: 0.017351
621000 -- [-737.601] (-791.618) (-777.704) (-810.737) * (-786.564) [-742.133] (-802.234) (-801.094) -- 0:12:56
622000 -- [-736.557] (-791.328) (-790.089) (-808.767) * (-783.334) [-741.178] (-821.795) (-801.278) -- 0:12:54
623000 -- [-735.400] (-786.878) (-790.305) (-805.383) * (-789.416) [-739.431] (-828.748) (-799.993) -- 0:12:52
624000 -- [-733.588] (-783.077) (-785.164) (-804.241) * (-793.886) [-743.660] (-822.051) (-799.949) -- 0:12:50
625000 -- [-743.199] (-787.717) (-788.465) (-801.929) * (-790.786) [-747.474] (-801.337) (-793.822) -- 0:12:48
Average standard deviation of split frequencies: 0.017502
626000 -- [-743.222] (-779.345) (-772.983) (-793.900) * (-784.621) [-745.122] (-787.425) (-807.441) -- 0:12:46
627000 -- [-742.835] (-773.882) (-773.526) (-800.354) * (-785.436) [-744.725] (-795.227) (-798.961) -- 0:12:44
628000 -- [-747.575] (-780.062) (-783.445) (-797.528) * (-787.024) [-739.500] (-793.253) (-799.425) -- 0:12:42
629000 -- [-744.603] (-786.715) (-785.791) (-794.739) * (-787.637) [-746.809] (-790.636) (-805.963) -- 0:12:40
630000 -- [-744.874] (-771.698) (-789.972) (-815.882) * (-783.394) [-739.573] (-799.774) (-790.350) -- 0:12:38
Average standard deviation of split frequencies: 0.017716
631000 -- [-749.542] (-784.162) (-784.546) (-808.937) * (-795.228) [-742.462] (-806.468) (-802.784) -- 0:12:36
632000 -- [-744.059] (-772.891) (-775.765) (-811.796) * (-790.655) [-743.421] (-802.123) (-805.451) -- 0:12:34
633000 -- [-733.275] (-783.578) (-783.451) (-788.683) * (-797.291) [-740.559] (-812.185) (-806.384) -- 0:12:32
634000 -- [-734.158] (-779.168) (-799.152) (-791.775) * (-792.641) [-738.287] (-796.334) (-800.991) -- 0:12:30
635000 -- [-731.494] (-788.500) (-800.657) (-813.135) * (-789.696) [-736.046] (-809.273) (-793.832) -- 0:12:28
Average standard deviation of split frequencies: 0.017204
636000 -- [-725.396] (-794.182) (-799.925) (-797.976) * (-797.176) [-746.888] (-812.547) (-795.515) -- 0:12:26
637000 -- [-727.736] (-791.960) (-782.519) (-796.359) * (-797.398) [-750.830] (-813.380) (-787.400) -- 0:12:24
638000 -- [-730.558] (-788.819) (-789.260) (-797.855) * (-807.377) [-751.920] (-819.332) (-796.046) -- 0:12:22
639000 -- [-738.528] (-789.297) (-777.253) (-793.142) * (-793.236) [-753.582] (-810.897) (-802.324) -- 0:12:20
640000 -- [-734.902] (-771.005) (-779.994) (-798.676) * (-791.951) [-747.122] (-821.204) (-804.506) -- 0:12:18
Average standard deviation of split frequencies: 0.017285
641000 -- [-740.668] (-780.841) (-779.634) (-801.028) * (-796.004) [-740.478] (-816.067) (-798.403) -- 0:12:15
642000 -- [-738.439] (-784.629) (-782.836) (-796.172) * (-792.255) [-749.098] (-810.683) (-787.377) -- 0:12:13
643000 -- [-732.155] (-778.409) (-789.135) (-795.485) * (-796.382) [-748.155] (-812.795) (-793.804) -- 0:12:11
644000 -- [-747.757] (-776.948) (-783.482) (-783.606) * (-801.906) [-736.535] (-832.724) (-784.096) -- 0:12:09
645000 -- [-753.431] (-788.004) (-788.248) (-790.852) * (-797.154) [-741.449] (-822.278) (-789.677) -- 0:12:07
Average standard deviation of split frequencies: 0.017254
646000 -- [-741.231] (-775.652) (-787.936) (-786.980) * (-801.126) [-746.353] (-819.211) (-782.394) -- 0:12:06
647000 -- [-741.526] (-777.498) (-770.706) (-786.787) * (-791.084) [-743.959] (-818.840) (-782.373) -- 0:12:04
648000 -- [-750.319] (-792.877) (-776.019) (-790.676) * (-783.568) [-741.632] (-803.232) (-779.322) -- 0:12:01
649000 -- [-752.744] (-792.683) (-778.833) (-791.189) * (-792.477) [-738.717] (-800.324) (-786.224) -- 0:11:59
650000 -- [-751.457] (-796.721) (-789.568) (-796.963) * (-791.631) [-742.985] (-808.249) (-781.915) -- 0:11:57
Average standard deviation of split frequencies: 0.017500
651000 -- [-744.060] (-798.185) (-788.034) (-798.992) * (-790.021) [-746.434] (-799.398) (-787.945) -- 0:11:55
652000 -- [-748.522] (-806.200) (-778.598) (-796.460) * (-789.932) [-747.755] (-800.259) (-781.358) -- 0:11:53
653000 -- [-750.755] (-789.357) (-781.562) (-805.583) * (-795.185) [-742.116] (-802.856) (-784.511) -- 0:11:51
654000 -- [-748.623] (-782.494) (-776.764) (-797.025) * (-802.131) [-740.862] (-804.527) (-790.753) -- 0:11:49
655000 -- [-745.298] (-791.839) (-786.106) (-789.407) * (-810.552) [-744.812] (-812.825) (-788.857) -- 0:11:47
Average standard deviation of split frequencies: 0.017185
656000 -- [-743.277] (-791.113) (-790.910) (-788.239) * (-823.208) [-742.170] (-812.056) (-789.081) -- 0:11:45
657000 -- [-740.563] (-780.728) (-776.078) (-789.408) * (-818.533) [-743.993] (-808.268) (-790.972) -- 0:11:43
658000 -- [-748.069] (-773.679) (-789.459) (-790.395) * (-808.565) [-728.976] (-797.014) (-795.330) -- 0:11:41
659000 -- [-753.435] (-783.118) (-784.024) (-787.374) * (-793.966) [-736.786] (-795.919) (-790.029) -- 0:11:39
660000 -- [-760.273] (-771.137) (-782.221) (-788.640) * (-786.879) [-742.916] (-798.389) (-785.803) -- 0:11:37
Average standard deviation of split frequencies: 0.017026
661000 -- [-753.337] (-787.788) (-778.720) (-784.606) * (-787.921) [-748.362] (-795.499) (-785.825) -- 0:11:35
662000 -- [-752.413] (-798.272) (-777.882) (-782.845) * (-793.260) [-748.444] (-791.941) (-787.592) -- 0:11:33
663000 -- [-748.844] (-803.833) (-783.035) (-788.682) * (-795.586) [-744.681] (-797.782) (-786.247) -- 0:11:31
664000 -- [-757.143] (-796.827) (-779.230) (-789.270) * (-803.974) [-743.554] (-801.446) (-789.924) -- 0:11:29
665000 -- [-740.398] (-791.976) (-780.725) (-799.424) * (-797.849) [-753.170] (-791.040) (-793.712) -- 0:11:27
Average standard deviation of split frequencies: 0.016902
666000 -- [-737.244] (-797.593) (-786.176) (-789.042) * (-793.482) [-745.173] (-791.539) (-791.137) -- 0:11:25
667000 -- [-736.470] (-785.968) (-787.765) (-791.071) * (-799.339) [-739.020] (-801.535) (-792.926) -- 0:11:22
668000 -- [-729.190] (-792.201) (-774.925) (-801.549) * (-797.403) [-743.826] (-797.394) (-796.815) -- 0:11:20
669000 -- [-735.842] (-788.966) (-771.572) (-794.509) * (-782.907) [-740.068] (-792.161) (-802.330) -- 0:11:19
670000 -- [-744.441] (-785.460) (-773.882) (-796.390) * (-789.874) [-745.390] (-794.442) (-803.323) -- 0:11:17
Average standard deviation of split frequencies: 0.016482
671000 -- [-747.816] (-799.027) (-782.035) (-813.174) * (-787.902) [-742.876] (-794.626) (-794.106) -- 0:11:15
672000 -- [-735.698] (-794.278) (-782.108) (-813.845) * (-791.115) [-748.877] (-800.434) (-808.512) -- 0:11:13
673000 -- [-742.963] (-785.189) (-781.428) (-800.854) * (-785.614) [-747.572] (-792.155) (-808.814) -- 0:11:11
674000 -- [-730.994] (-789.618) (-771.779) (-803.123) * (-789.227) [-746.974] (-804.693) (-808.069) -- 0:11:08
675000 -- [-729.567] (-785.769) (-791.847) (-785.556) * (-787.625) [-757.682] (-801.704) (-802.589) -- 0:11:06
Average standard deviation of split frequencies: 0.015956
676000 -- [-725.070] (-792.634) (-789.786) (-796.094) * (-799.130) [-751.154] (-804.227) (-804.005) -- 0:11:04
677000 -- [-735.300] (-789.226) (-789.381) (-800.478) * (-797.529) [-751.104] (-811.109) (-803.278) -- 0:11:02
678000 -- [-738.339] (-793.257) (-798.963) (-804.616) * (-786.241) [-741.311] (-815.932) (-797.798) -- 0:11:00
679000 -- [-728.168] (-789.812) (-790.057) (-798.323) * (-790.225) [-743.128] (-811.998) (-812.566) -- 0:10:58
680000 -- [-737.257] (-794.195) (-796.866) (-799.373) * (-788.947) [-752.207] (-802.025) (-799.618) -- 0:10:56
Average standard deviation of split frequencies: 0.016335
681000 -- [-729.592] (-793.116) (-786.732) (-820.121) * (-803.238) [-742.113] (-790.025) (-811.717) -- 0:10:54
682000 -- [-736.250] (-787.338) (-789.916) (-804.389) * (-801.834) [-746.610] (-804.899) (-790.964) -- 0:10:52
683000 -- [-737.087] (-800.601) (-787.016) (-804.774) * (-802.943) [-740.796] (-797.723) (-779.169) -- 0:10:50
684000 -- [-732.067] (-797.403) (-784.099) (-824.342) * (-794.196) [-739.644] (-791.971) (-791.377) -- 0:10:48
685000 -- [-741.418] (-793.857) (-790.539) (-800.740) * (-792.309) [-749.969] (-796.823) (-793.696) -- 0:10:46
Average standard deviation of split frequencies: 0.016131
686000 -- [-734.945] (-793.083) (-787.291) (-803.217) * (-791.351) [-755.133] (-790.962) (-803.527) -- 0:10:44
687000 -- [-745.021] (-785.233) (-783.314) (-800.016) * (-793.937) [-753.805] (-792.101) (-796.583) -- 0:10:41
688000 -- [-746.112] (-800.837) (-787.586) (-798.027) * (-785.721) [-742.779] (-805.739) (-794.782) -- 0:10:39
689000 -- [-743.074] (-803.166) (-786.784) (-809.546) * (-777.551) [-744.510] (-804.183) (-788.210) -- 0:10:37
690000 -- [-740.516] (-799.618) (-791.484) (-810.531) * (-781.510) [-751.760] (-801.473) (-789.976) -- 0:10:35
Average standard deviation of split frequencies: 0.016487
691000 -- [-732.820] (-809.959) (-783.999) (-806.253) * (-781.199) [-745.624] (-802.553) (-792.423) -- 0:10:33
692000 -- [-735.832] (-789.122) (-791.429) (-806.480) * (-792.850) [-751.673] (-808.095) (-790.601) -- 0:10:32
693000 -- [-738.740] (-790.818) (-790.792) (-796.150) * (-790.597) [-753.634] (-793.356) (-798.962) -- 0:10:29
694000 -- [-736.687] (-787.930) (-787.377) (-793.744) * (-787.191) [-749.799] (-797.388) (-796.769) -- 0:10:27
695000 -- [-741.485] (-793.118) (-785.462) (-787.051) * (-790.205) [-741.312] (-790.344) (-793.553) -- 0:10:25
Average standard deviation of split frequencies: 0.016292
696000 -- [-739.737] (-783.015) (-799.269) (-795.105) * (-786.454) [-744.714] (-807.974) (-823.368) -- 0:10:23
697000 -- [-742.796] (-789.648) (-797.271) (-803.287) * (-797.600) [-747.523] (-797.768) (-825.679) -- 0:10:21
698000 -- [-745.994] (-792.478) (-772.321) (-802.169) * (-785.341) [-745.566] (-819.134) (-811.804) -- 0:10:19
699000 -- [-737.337] (-787.175) (-771.452) (-802.051) * (-788.563) [-750.877] (-790.540) (-811.347) -- 0:10:17
700000 -- [-732.399] (-788.715) (-783.164) (-805.448) * (-773.581) [-736.616] (-802.457) (-799.686) -- 0:10:15
Average standard deviation of split frequencies: 0.016430
701000 -- [-733.624] (-777.994) (-771.228) (-813.102) * (-789.830) [-742.553] (-812.730) (-797.622) -- 0:10:13
702000 -- [-733.007] (-796.718) (-779.055) (-821.174) * (-792.333) [-743.321] (-811.948) (-789.560) -- 0:10:11
703000 -- [-728.059] (-793.926) (-779.789) (-803.012) * (-801.902) [-743.727] (-803.196) (-791.649) -- 0:10:09
704000 -- [-735.377] (-794.939) (-786.317) (-788.509) * (-795.406) [-740.813] (-801.074) (-800.052) -- 0:10:07
705000 -- [-735.383] (-796.671) (-792.466) (-803.798) * (-783.296) [-739.208] (-803.753) (-798.200) -- 0:10:05
Average standard deviation of split frequencies: 0.016612
706000 -- [-732.228] (-807.745) (-789.195) (-812.628) * (-791.603) [-749.109] (-805.068) (-784.608) -- 0:10:03
707000 -- [-735.167] (-801.386) (-774.371) (-812.855) * (-787.421) [-748.654] (-795.146) (-783.275) -- 0:10:01
708000 -- [-727.760] (-802.463) (-775.930) (-815.147) * (-779.296) [-749.395] (-795.632) (-786.979) -- 0:09:59
709000 -- [-731.927] (-806.583) (-766.000) (-808.022) * (-769.968) [-743.271] (-797.721) (-789.706) -- 0:09:57
710000 -- [-736.024] (-801.032) (-772.086) (-799.928) * (-768.774) [-747.318] (-815.034) (-780.467) -- 0:09:55
Average standard deviation of split frequencies: 0.016879
711000 -- [-736.444] (-795.084) (-764.823) (-803.111) * (-784.607) [-744.200] (-816.184) (-782.289) -- 0:09:53
712000 -- [-737.407] (-803.419) (-778.826) (-795.988) * (-780.363) [-750.083] (-810.242) (-794.240) -- 0:09:51
713000 -- [-738.732] (-801.378) (-780.981) (-804.522) * (-788.715) [-755.423] (-801.783) (-803.103) -- 0:09:48
714000 -- [-745.499] (-792.794) (-783.068) (-800.285) * (-788.429) [-754.864] (-800.387) (-809.498) -- 0:09:46
715000 -- [-748.542] (-808.137) (-778.310) (-794.647) * (-790.091) [-750.976] (-828.156) (-793.048) -- 0:09:45
Average standard deviation of split frequencies: 0.017412
716000 -- [-735.771] (-802.858) (-777.410) (-792.926) * (-794.628) [-753.136] (-827.956) (-808.341) -- 0:09:43
717000 -- [-736.884] (-790.626) (-774.961) (-802.996) * (-795.173) [-749.582] (-813.705) (-809.054) -- 0:09:40
718000 -- [-743.387] (-783.273) (-781.187) (-798.435) * (-795.354) [-741.209] (-815.018) (-802.627) -- 0:09:38
719000 -- [-739.785] (-789.998) (-789.759) (-797.052) * (-796.002) [-740.903] (-833.018) (-793.882) -- 0:09:36
720000 -- [-738.505] (-786.797) (-789.047) (-798.608) * (-782.822) [-734.486] (-833.792) (-792.602) -- 0:09:34
Average standard deviation of split frequencies: 0.017288
721000 -- [-736.234] (-775.289) (-782.383) (-774.109) * (-783.542) [-737.225] (-831.498) (-787.849) -- 0:09:32
722000 -- [-732.836] (-777.304) (-786.124) (-786.042) * (-792.557) [-736.941] (-821.125) (-791.148) -- 0:09:30
723000 -- [-737.590] (-779.657) (-771.872) (-800.220) * (-784.370) [-731.311] (-821.836) (-780.520) -- 0:09:28
724000 -- [-738.292] (-791.817) (-770.277) (-789.062) * (-775.248) [-732.476] (-811.540) (-780.766) -- 0:09:26
725000 -- [-735.015] (-805.840) (-779.556) (-789.231) * (-778.643) [-734.941] (-807.499) (-782.832) -- 0:09:24
Average standard deviation of split frequencies: 0.017862
726000 -- [-729.057] (-808.099) (-786.759) (-799.947) * (-789.415) [-739.825] (-796.150) (-786.140) -- 0:09:21
727000 -- [-741.301] (-804.095) (-784.424) (-795.805) * (-789.814) [-737.244] (-794.012) (-781.410) -- 0:09:19
728000 -- [-733.186] (-806.017) (-783.423) (-790.361) * (-784.361) [-732.808] (-796.411) (-782.870) -- 0:09:17
729000 -- [-742.317] (-806.715) (-776.865) (-782.276) * (-798.771) [-733.055] (-796.670) (-788.039) -- 0:09:16
730000 -- [-736.347] (-808.346) (-782.216) (-796.120) * (-808.471) [-738.499] (-801.715) (-779.518) -- 0:09:14
Average standard deviation of split frequencies: 0.017662
731000 -- [-739.365] (-787.380) (-791.375) (-811.757) * (-803.378) [-739.220] (-795.496) (-784.705) -- 0:09:11
732000 -- [-740.665] (-802.764) (-781.601) (-798.261) * (-801.763) [-753.913] (-792.777) (-788.449) -- 0:09:09
733000 -- [-733.664] (-804.089) (-775.491) (-789.390) * (-793.478) [-754.404] (-787.801) (-788.872) -- 0:09:07
734000 -- [-742.503] (-817.847) (-776.621) (-782.108) * (-807.863) [-744.344] (-802.467) (-795.014) -- 0:09:05
735000 -- [-736.303] (-805.509) (-777.844) (-791.145) * (-804.927) [-746.781] (-797.904) (-789.459) -- 0:09:03
Average standard deviation of split frequencies: 0.017648
736000 -- [-733.941] (-803.560) (-772.488) (-784.387) * (-816.424) [-739.869] (-796.944) (-796.550) -- 0:09:01
737000 -- [-737.163] (-801.608) (-773.892) (-789.167) * (-813.901) [-741.788] (-805.644) (-793.772) -- 0:08:59
738000 -- [-739.198] (-807.958) (-780.936) (-780.664) * (-809.752) [-739.936] (-804.604) (-796.475) -- 0:08:57
739000 -- [-738.640] (-793.885) (-771.232) (-791.197) * (-808.317) [-732.614] (-820.686) (-793.066) -- 0:08:55
740000 -- [-738.581] (-799.349) (-764.237) (-787.227) * (-805.863) [-735.093] (-809.343) (-786.463) -- 0:08:53
Average standard deviation of split frequencies: 0.016957
741000 -- [-736.678] (-796.130) (-766.273) (-783.954) * (-807.624) [-746.286] (-795.654) (-781.359) -- 0:08:51
742000 -- [-740.470] (-789.269) (-780.581) (-785.957) * (-789.567) [-731.177] (-801.084) (-782.711) -- 0:08:49
743000 -- [-740.567] (-800.331) (-770.740) (-805.680) * (-800.899) [-740.277] (-803.184) (-775.894) -- 0:08:47
744000 -- [-736.975] (-796.076) (-769.428) (-791.002) * (-811.620) [-741.237] (-802.835) (-785.815) -- 0:08:45
745000 -- [-734.119] (-796.962) (-774.847) (-787.796) * (-810.543) [-737.162] (-796.769) (-790.616) -- 0:08:43
Average standard deviation of split frequencies: 0.017222
746000 -- [-747.841] (-795.980) (-771.292) (-786.593) * (-803.938) [-748.434] (-791.476) (-796.834) -- 0:08:40
747000 -- [-739.667] (-794.540) (-764.370) (-805.524) * (-813.610) [-751.586] (-790.111) (-795.882) -- 0:08:38
748000 -- [-746.001] (-788.873) (-771.570) (-793.297) * (-801.286) [-743.379] (-800.789) (-787.503) -- 0:08:36
749000 -- [-737.917] (-791.075) (-771.331) (-796.464) * (-795.539) [-761.023] (-796.224) (-789.345) -- 0:08:35
750000 -- [-740.055] (-791.040) (-776.502) (-803.224) * (-793.765) [-747.091] (-806.914) (-778.442) -- 0:08:33
Average standard deviation of split frequencies: 0.017606
751000 -- [-746.354] (-776.396) (-776.461) (-793.370) * (-801.169) [-745.648] (-815.313) (-786.040) -- 0:08:30
752000 -- [-741.815] (-776.882) (-784.167) (-796.348) * (-795.711) [-741.261] (-804.746) (-789.585) -- 0:08:28
753000 -- [-731.641] (-790.700) (-779.460) (-791.868) * (-791.750) [-746.640] (-807.093) (-787.581) -- 0:08:26
754000 -- [-742.434] (-790.374) (-783.066) (-792.219) * (-790.474) [-749.755] (-797.902) (-785.966) -- 0:08:24
755000 -- [-739.828] (-780.280) (-777.479) (-791.453) * (-787.188) [-734.116] (-805.603) (-794.007) -- 0:08:22
Average standard deviation of split frequencies: 0.017006
756000 -- [-730.491] (-776.951) (-768.721) (-799.051) * (-786.451) [-735.174] (-817.179) (-782.707) -- 0:08:20
757000 -- [-734.220] (-782.065) (-772.708) (-805.557) * (-787.706) [-731.681] (-810.614) (-793.942) -- 0:08:18
758000 -- [-733.787] (-788.489) (-776.105) (-799.890) * (-790.356) [-730.735] (-800.686) (-802.423) -- 0:08:16
759000 -- [-734.211] (-786.566) (-780.913) (-809.266) * (-790.153) [-736.097] (-809.256) (-790.852) -- 0:08:14
760000 -- [-737.194] (-799.672) (-784.113) (-797.288) * (-798.303) [-739.257] (-802.978) (-790.360) -- 0:08:12
Average standard deviation of split frequencies: 0.017242
761000 -- [-735.846] (-796.169) (-774.487) (-797.382) * (-801.422) [-737.173] (-812.802) (-778.558) -- 0:08:10
762000 -- [-738.491] (-801.445) (-783.496) (-796.402) * (-803.887) [-737.419] (-809.525) (-792.650) -- 0:08:08
763000 -- [-734.173] (-791.852) (-781.552) (-791.724) * (-812.162) [-735.851] (-795.381) (-791.106) -- 0:08:06
764000 -- [-754.182] (-806.639) (-778.112) (-789.698) * (-808.570) [-740.627] (-798.306) (-789.960) -- 0:08:04
765000 -- [-746.165] (-803.026) (-777.795) (-787.902) * (-818.908) [-742.059] (-813.523) (-793.647) -- 0:08:01
Average standard deviation of split frequencies: 0.017620
766000 -- [-739.905] (-802.288) (-775.757) (-794.795) * (-809.639) [-740.939] (-803.455) (-797.701) -- 0:07:59
767000 -- [-747.877] (-806.302) (-779.350) (-795.896) * (-812.814) [-743.875] (-815.703) (-802.005) -- 0:07:57
768000 -- [-755.191] (-820.376) (-779.479) (-794.201) * (-818.142) [-747.636] (-804.888) (-804.441) -- 0:07:55
769000 -- [-753.696] (-813.989) (-776.631) (-785.886) * (-830.271) [-749.708] (-802.366) (-800.888) -- 0:07:53
770000 -- [-758.832] (-796.512) (-770.062) (-792.939) * (-818.640) [-737.713] (-800.762) (-801.310) -- 0:07:51
Average standard deviation of split frequencies: 0.017428
771000 -- [-746.055] (-797.352) (-779.417) (-785.060) * (-809.822) [-743.788] (-787.628) (-801.767) -- 0:07:49
772000 -- [-746.266] (-791.833) (-788.969) (-788.566) * (-802.803) [-744.655] (-798.241) (-797.247) -- 0:07:47
773000 -- [-747.059] (-792.733) (-789.394) (-790.933) * (-798.710) [-740.136] (-796.979) (-781.142) -- 0:07:45
774000 -- [-739.834] (-799.751) (-787.209) (-779.672) * (-794.237) [-743.896] (-795.260) (-778.512) -- 0:07:43
775000 -- [-738.380] (-796.517) (-784.657) (-779.493) * (-790.333) [-741.861] (-803.747) (-787.112) -- 0:07:41
Average standard deviation of split frequencies: 0.017020
776000 -- [-736.548] (-796.999) (-787.391) (-788.110) * (-785.671) [-744.497] (-810.229) (-788.731) -- 0:07:39
777000 -- [-737.291] (-801.281) (-795.831) (-794.550) * (-784.353) [-737.749] (-804.080) (-793.916) -- 0:07:37
778000 -- [-737.464] (-797.052) (-784.133) (-793.275) * (-793.961) [-743.898] (-804.152) (-806.291) -- 0:07:35
779000 -- [-737.352] (-799.052) (-785.858) (-799.514) * (-810.843) [-737.705] (-797.021) (-791.030) -- 0:07:33
780000 -- [-736.888] (-803.384) (-786.164) (-808.602) * (-807.078) [-732.308] (-802.102) (-797.107) -- 0:07:31
Average standard deviation of split frequencies: 0.016930
781000 -- [-741.059] (-806.984) (-782.424) (-804.683) * (-796.933) [-739.827] (-798.192) (-787.629) -- 0:07:28
782000 -- [-747.759] (-785.081) (-775.640) (-793.558) * (-787.349) [-739.564] (-796.041) (-789.255) -- 0:07:26
783000 -- [-743.481] (-787.240) (-785.361) (-794.245) * (-790.414) [-746.756] (-795.945) (-789.803) -- 0:07:24
784000 -- [-743.244] (-782.330) (-782.598) (-796.161) * (-792.295) [-734.549] (-803.535) (-793.659) -- 0:07:22
785000 -- [-740.310] (-796.812) (-786.684) (-794.522) * (-806.715) [-742.459] (-806.383) (-788.659) -- 0:07:20
Average standard deviation of split frequencies: 0.016718
786000 -- [-747.339] (-795.712) (-778.689) (-795.435) * (-793.741) [-738.270] (-806.854) (-791.803) -- 0:07:18
787000 -- [-755.242] (-794.059) (-780.058) (-794.345) * (-786.276) [-746.369] (-802.555) (-795.451) -- 0:07:16
788000 -- [-741.630] (-797.295) (-777.723) (-784.210) * (-787.239) [-747.211] (-803.718) (-799.750) -- 0:07:14
789000 -- [-747.725] (-806.997) (-785.401) (-781.474) * (-786.703) [-747.372] (-808.690) (-798.768) -- 0:07:12
790000 -- [-740.278] (-804.064) (-787.310) (-790.468) * (-789.169) [-745.340] (-803.695) (-777.293) -- 0:07:10
Average standard deviation of split frequencies: 0.016131
791000 -- [-736.244] (-793.850) (-778.410) (-795.031) * (-795.043) [-744.811] (-801.831) (-776.353) -- 0:07:08
792000 -- [-726.216] (-794.140) (-768.732) (-784.591) * (-786.240) [-745.195] (-811.834) (-784.842) -- 0:07:06
793000 -- [-729.963] (-802.650) (-771.872) (-791.424) * (-788.429) [-748.335] (-813.742) (-796.078) -- 0:07:04
794000 -- [-731.452] (-791.153) (-773.690) (-795.162) * (-778.950) [-746.003] (-811.764) (-793.485) -- 0:07:02
795000 -- [-733.348] (-803.925) (-776.780) (-799.330) * (-783.677) [-741.196] (-808.380) (-783.396) -- 0:07:00
Average standard deviation of split frequencies: 0.015766
796000 -- [-731.564] (-794.185) (-767.656) (-793.503) * (-782.927) [-739.432] (-807.360) (-779.580) -- 0:06:58
797000 -- [-732.652] (-805.322) (-777.853) (-789.404) * (-797.255) [-737.215] (-809.182) (-781.715) -- 0:06:56
798000 -- [-724.596] (-784.179) (-778.698) (-788.291) * (-792.906) [-739.464] (-811.183) (-774.151) -- 0:06:54
799000 -- [-732.109] (-781.380) (-787.605) (-796.762) * (-786.521) [-748.992] (-806.139) (-782.357) -- 0:06:52
800000 -- [-735.500] (-776.438) (-790.215) (-796.704) * (-778.330) [-750.067] (-822.394) (-795.377) -- 0:06:50
Average standard deviation of split frequencies: 0.015897
801000 -- [-734.333] (-775.794) (-791.314) (-813.031) * (-793.477) [-745.204] (-816.362) (-794.275) -- 0:06:47
802000 -- [-737.136] (-786.435) (-781.468) (-797.236) * (-795.855) [-741.098] (-820.984) (-800.969) -- 0:06:45
803000 -- [-751.518] (-771.499) (-786.626) (-806.725) * (-803.327) [-738.147] (-829.158) (-786.808) -- 0:06:43
804000 -- [-744.261] (-781.927) (-777.841) (-811.089) * (-800.757) [-738.201] (-823.252) (-785.213) -- 0:06:41
805000 -- [-742.121] (-781.115) (-792.579) (-810.443) * (-791.096) [-734.866] (-826.289) (-791.370) -- 0:06:39
Average standard deviation of split frequencies: 0.015607
806000 -- [-734.729] (-783.215) (-779.698) (-792.649) * (-791.870) [-735.259] (-834.120) (-789.218) -- 0:06:37
807000 -- [-743.618] (-785.308) (-776.466) (-799.554) * (-791.584) [-737.039] (-815.494) (-789.981) -- 0:06:35
808000 -- [-740.677] (-788.764) (-771.714) (-794.681) * (-783.373) [-739.435] (-811.469) (-790.538) -- 0:06:33
809000 -- [-746.734] (-791.835) (-785.327) (-793.588) * (-779.982) [-737.957] (-812.644) (-793.978) -- 0:06:31
810000 -- [-749.356] (-799.363) (-776.916) (-802.243) * (-804.552) [-730.981] (-812.704) (-787.103) -- 0:06:29
Average standard deviation of split frequencies: 0.015668
811000 -- [-742.440] (-799.762) (-789.749) (-819.556) * (-791.405) [-733.919] (-816.465) (-803.047) -- 0:06:27
812000 -- [-743.236] (-812.590) (-790.069) (-809.741) * (-799.572) [-735.653] (-811.935) (-802.395) -- 0:06:25
813000 -- [-745.889] (-805.892) (-789.002) (-807.103) * (-797.415) [-742.996] (-815.798) (-807.869) -- 0:06:23
814000 -- [-752.871] (-799.940) (-786.640) (-808.515) * (-807.436) [-735.835] (-822.412) (-803.621) -- 0:06:21
815000 -- [-744.541] (-790.406) (-785.502) (-808.987) * (-815.355) [-733.767] (-820.924) (-803.351) -- 0:06:19
Average standard deviation of split frequencies: 0.015673
816000 -- [-727.658] (-797.958) (-789.725) (-799.904) * (-799.826) [-734.219] (-803.284) (-794.521) -- 0:06:17
817000 -- [-732.664] (-788.641) (-785.596) (-804.568) * (-798.724) [-735.091] (-808.659) (-794.843) -- 0:06:15
818000 -- [-730.550] (-783.267) (-785.323) (-797.029) * (-809.099) [-733.105] (-805.938) (-801.682) -- 0:06:13
819000 -- [-732.349] (-784.088) (-775.604) (-785.932) * (-807.937) [-735.185] (-806.447) (-792.872) -- 0:06:11
820000 -- [-736.418] (-782.831) (-774.231) (-783.071) * (-806.485) [-737.912] (-814.079) (-792.852) -- 0:06:09
Average standard deviation of split frequencies: 0.015435
821000 -- [-745.903] (-794.619) (-781.997) (-807.201) * (-805.175) [-752.216] (-807.630) (-791.150) -- 0:06:07
822000 -- [-744.151] (-785.204) (-783.764) (-807.273) * (-802.737) [-747.298] (-804.131) (-792.013) -- 0:06:05
823000 -- [-744.854] (-802.869) (-788.483) (-807.783) * (-798.098) [-747.100] (-807.300) (-807.380) -- 0:06:03
824000 -- [-745.736] (-802.338) (-790.267) (-792.136) * (-794.359) [-741.071] (-808.306) (-801.158) -- 0:06:00
825000 -- [-741.637] (-804.434) (-788.317) (-791.014) * (-787.585) [-740.819] (-798.580) (-804.374) -- 0:05:59
Average standard deviation of split frequencies: 0.015596
826000 -- [-748.196] (-805.928) (-782.813) (-791.832) * (-800.921) [-742.753] (-805.215) (-799.921) -- 0:05:57
827000 -- [-740.352] (-798.175) (-778.252) (-802.888) * (-801.898) [-736.951] (-801.194) (-787.112) -- 0:05:54
828000 -- [-745.903] (-798.788) (-774.682) (-792.036) * (-796.473) [-736.801] (-794.382) (-804.725) -- 0:05:52
829000 -- [-748.166] (-823.415) (-778.641) (-791.022) * (-800.558) [-744.409] (-801.248) (-808.597) -- 0:05:50
830000 -- [-744.992] (-810.617) (-779.705) (-780.352) * (-792.472) [-743.531] (-798.913) (-798.688) -- 0:05:48
Average standard deviation of split frequencies: 0.015238
831000 -- [-739.641] (-805.255) (-778.497) (-785.107) * (-792.439) [-745.221] (-790.003) (-794.151) -- 0:05:46
832000 -- [-735.498] (-804.629) (-785.878) (-784.992) * (-791.131) [-743.209] (-788.706) (-796.054) -- 0:05:44
833000 -- [-737.248] (-809.922) (-785.870) (-781.556) * (-787.000) [-762.161] (-790.807) (-792.498) -- 0:05:42
834000 -- [-743.268] (-800.085) (-779.832) (-784.287) * (-787.580) [-753.755] (-792.007) (-798.836) -- 0:05:40
835000 -- [-732.373] (-789.939) (-775.676) (-784.972) * (-787.286) [-753.254] (-796.499) (-798.936) -- 0:05:38
Average standard deviation of split frequencies: 0.014901
836000 -- [-738.924] (-784.972) (-778.531) (-786.833) * (-787.906) [-749.388] (-788.286) (-791.860) -- 0:05:36
837000 -- [-737.770] (-790.029) (-792.228) (-785.866) * (-791.955) [-744.658] (-789.017) (-792.895) -- 0:05:34
838000 -- [-736.868] (-784.428) (-792.027) (-777.614) * (-784.533) [-743.344] (-792.482) (-798.568) -- 0:05:32
839000 -- [-741.260] (-775.288) (-800.432) (-792.578) * (-792.011) [-741.514] (-795.624) (-798.326) -- 0:05:30
840000 -- [-732.099] (-775.939) (-799.413) (-788.315) * (-790.324) [-740.813] (-795.195) (-790.163) -- 0:05:28
Average standard deviation of split frequencies: 0.014683
841000 -- [-735.283] (-783.982) (-789.384) (-800.985) * (-786.067) [-742.492] (-799.960) (-791.848) -- 0:05:26
842000 -- [-740.493] (-780.905) (-791.378) (-791.569) * (-775.213) [-747.634] (-807.291) (-790.130) -- 0:05:24
843000 -- [-742.397] (-783.131) (-799.033) (-784.484) * (-789.529) [-749.122] (-808.407) (-794.296) -- 0:05:22
844000 -- [-747.222] (-776.617) (-808.332) (-786.656) * (-788.061) [-751.079] (-804.855) (-782.302) -- 0:05:20
845000 -- [-729.460] (-778.740) (-803.263) (-778.205) * (-795.174) [-742.673] (-813.951) (-778.665) -- 0:05:18
Average standard deviation of split frequencies: 0.014230
846000 -- [-728.824] (-779.203) (-805.199) (-800.591) * (-790.305) [-736.505] (-807.655) (-800.920) -- 0:05:16
847000 -- [-748.149] (-782.052) (-799.840) (-800.078) * (-809.956) [-747.335] (-810.776) (-798.314) -- 0:05:13
848000 -- [-747.422] (-779.601) (-796.351) (-801.351) * (-792.611) [-750.433] (-799.886) (-791.239) -- 0:05:11
849000 -- [-739.170] (-775.223) (-787.226) (-795.322) * (-791.480) [-742.355] (-793.457) (-796.779) -- 0:05:09
850000 -- [-730.420] (-785.650) (-798.462) (-784.438) * (-788.431) [-740.144] (-797.797) (-798.268) -- 0:05:07
Average standard deviation of split frequencies: 0.013977
851000 -- [-735.809] (-787.248) (-775.014) (-799.804) * (-792.444) [-749.603] (-800.238) (-794.013) -- 0:05:05
852000 -- [-738.935] (-787.717) (-786.790) (-790.264) * (-796.957) [-745.119] (-809.995) (-793.204) -- 0:05:03
853000 -- [-732.134] (-790.385) (-784.857) (-787.952) * (-799.516) [-740.874] (-809.391) (-787.926) -- 0:05:01
854000 -- [-727.923] (-793.755) (-787.515) (-793.362) * (-800.736) [-741.415] (-806.259) (-787.510) -- 0:04:59
855000 -- [-729.463] (-802.645) (-780.154) (-795.581) * (-786.232) [-737.985] (-807.465) (-805.018) -- 0:04:57
Average standard deviation of split frequencies: 0.013727
856000 -- [-738.790] (-792.978) (-782.523) (-788.514) * (-796.808) [-740.956] (-802.756) (-806.271) -- 0:04:55
857000 -- [-742.414] (-804.131) (-788.710) (-779.847) * (-798.298) [-739.340] (-791.723) (-811.231) -- 0:04:53
858000 -- [-733.068] (-793.601) (-785.117) (-785.825) * (-792.248) [-733.092] (-803.818) (-804.028) -- 0:04:51
859000 -- [-733.476] (-806.978) (-794.041) (-798.718) * (-795.132) [-735.373] (-816.762) (-811.418) -- 0:04:49
860000 -- [-738.927] (-793.441) (-785.427) (-787.897) * (-781.871) [-735.515] (-808.260) (-788.850) -- 0:04:47
Average standard deviation of split frequencies: 0.013455
861000 -- [-741.144] (-797.199) (-779.669) (-789.902) * (-786.971) [-740.913] (-816.642) (-792.071) -- 0:04:45
862000 -- [-747.760] (-790.887) (-781.988) (-793.275) * (-785.900) [-732.841] (-820.148) (-788.759) -- 0:04:43
863000 -- [-745.001] (-792.434) (-778.392) (-786.256) * (-793.541) [-740.601] (-818.214) (-797.982) -- 0:04:41
864000 -- [-748.398] (-795.399) (-780.241) (-791.166) * (-799.204) [-741.625] (-821.422) (-799.035) -- 0:04:39
865000 -- [-743.907] (-794.940) (-780.786) (-797.549) * (-803.923) [-739.824] (-804.463) (-797.998) -- 0:04:37
Average standard deviation of split frequencies: 0.013527
866000 -- [-744.395] (-789.860) (-779.493) (-789.917) * (-800.296) [-739.693] (-803.585) (-795.456) -- 0:04:34
867000 -- [-734.930] (-791.531) (-773.869) (-788.284) * (-787.419) [-740.277] (-804.388) (-789.343) -- 0:04:32
868000 -- [-739.163] (-789.806) (-762.417) (-784.910) * (-794.080) [-735.264] (-811.925) (-800.536) -- 0:04:30
869000 -- [-738.304] (-798.090) (-773.215) (-799.615) * (-811.252) [-736.189] (-806.567) (-806.659) -- 0:04:28
870000 -- [-730.869] (-805.445) (-780.553) (-793.595) * (-809.468) [-738.672] (-815.138) (-794.230) -- 0:04:26
Average standard deviation of split frequencies: 0.013546
871000 -- [-736.028] (-792.802) (-784.070) (-802.139) * (-794.234) [-728.738] (-803.686) (-783.912) -- 0:04:24
872000 -- [-741.955] (-803.040) (-777.057) (-806.050) * (-800.087) [-727.274] (-807.548) (-783.662) -- 0:04:22
873000 -- [-740.784] (-806.977) (-777.025) (-796.287) * (-796.284) [-731.826] (-805.796) (-780.084) -- 0:04:20
874000 -- [-741.928] (-819.335) (-775.943) (-792.036) * (-787.511) [-739.508] (-803.216) (-789.969) -- 0:04:18
875000 -- [-737.157] (-804.193) (-781.116) (-784.853) * (-788.981) [-747.631] (-810.133) (-779.345) -- 0:04:16
Average standard deviation of split frequencies: 0.013433
876000 -- [-749.712] (-797.999) (-778.155) (-802.589) * (-791.697) [-746.247] (-794.987) (-782.465) -- 0:04:14
877000 -- [-742.467] (-802.167) (-782.356) (-790.736) * (-807.462) [-748.914] (-805.490) (-778.249) -- 0:04:12
878000 -- [-739.646] (-805.489) (-777.726) (-793.265) * (-802.055) [-741.413] (-808.212) (-782.115) -- 0:04:10
879000 -- [-734.625] (-806.083) (-783.248) (-787.566) * (-802.147) [-757.940] (-803.854) (-781.111) -- 0:04:08
880000 -- [-742.300] (-804.905) (-780.445) (-788.437) * (-805.363) [-741.594] (-805.108) (-786.698) -- 0:04:06
Average standard deviation of split frequencies: 0.013313
881000 -- [-747.891] (-809.105) (-783.412) (-783.373) * (-805.040) [-742.568] (-802.890) (-792.545) -- 0:04:04
882000 -- [-733.765] (-797.999) (-789.087) (-796.958) * (-801.002) [-748.875] (-808.174) (-793.483) -- 0:04:02
883000 -- [-729.161] (-794.534) (-795.823) (-785.849) * (-796.331) [-734.740] (-804.938) (-786.877) -- 0:04:00
884000 -- [-732.447] (-792.127) (-807.334) (-794.550) * (-789.430) [-738.738] (-799.580) (-787.893) -- 0:03:58
885000 -- [-734.436] (-787.544) (-816.291) (-791.207) * (-784.838) [-741.474] (-804.059) (-794.873) -- 0:03:55
Average standard deviation of split frequencies: 0.013292
886000 -- [-744.242] (-804.262) (-794.779) (-792.975) * (-785.559) [-743.289] (-798.990) (-804.218) -- 0:03:53
887000 -- [-757.354] (-802.539) (-799.819) (-793.946) * (-782.830) [-738.874] (-804.510) (-794.318) -- 0:03:51
888000 -- [-739.344] (-791.073) (-785.211) (-798.356) * (-796.489) [-736.931] (-808.486) (-791.826) -- 0:03:49
889000 -- [-741.096] (-792.701) (-794.743) (-797.230) * (-793.639) [-737.949] (-804.473) (-789.473) -- 0:03:47
890000 -- [-747.520] (-796.080) (-809.623) (-792.725) * (-783.741) [-732.085] (-808.113) (-780.704) -- 0:03:45
Average standard deviation of split frequencies: 0.013330
891000 -- [-742.495] (-797.253) (-809.719) (-792.246) * (-788.679) [-738.154] (-806.162) (-779.545) -- 0:03:43
892000 -- [-746.398] (-792.998) (-813.344) (-791.999) * (-784.262) [-736.241] (-805.683) (-784.059) -- 0:03:41
893000 -- [-746.064] (-798.676) (-798.790) (-783.292) * (-787.269) [-738.222] (-793.022) (-788.826) -- 0:03:39
894000 -- [-764.330] (-786.501) (-808.415) (-789.611) * (-796.864) [-731.177] (-805.603) (-792.748) -- 0:03:37
895000 -- [-755.670] (-780.753) (-800.974) (-783.250) * (-792.201) [-728.306] (-802.085) (-803.266) -- 0:03:35
Average standard deviation of split frequencies: 0.013289
896000 -- [-761.634] (-782.868) (-809.220) (-785.499) * (-800.756) [-733.465] (-785.428) (-795.521) -- 0:03:33
897000 -- [-765.803] (-781.616) (-793.232) (-783.235) * (-788.572) [-736.313] (-780.113) (-802.692) -- 0:03:31
898000 -- [-761.474] (-792.629) (-795.709) (-777.754) * (-797.463) [-740.916] (-784.099) (-799.814) -- 0:03:29
899000 -- [-747.996] (-794.948) (-807.121) (-778.376) * (-808.392) [-745.049] (-789.587) (-805.965) -- 0:03:27
900000 -- [-761.325] (-792.769) (-787.848) (-777.119) * (-808.136) [-746.875] (-792.320) (-794.535) -- 0:03:25
Average standard deviation of split frequencies: 0.013124
901000 -- [-762.177] (-784.891) (-795.338) (-775.830) * (-825.758) [-743.283] (-796.139) (-796.125) -- 0:03:23
902000 -- [-756.161] (-789.915) (-795.179) (-778.905) * (-807.492) [-735.866] (-787.200) (-789.439) -- 0:03:21
903000 -- [-746.396] (-789.061) (-786.905) (-794.913) * (-794.694) [-740.474] (-794.739) (-798.918) -- 0:03:19
904000 -- [-739.154] (-780.446) (-787.729) (-790.724) * (-802.582) [-728.923] (-789.854) (-791.710) -- 0:03:16
905000 -- [-739.846] (-786.067) (-789.404) (-794.943) * (-805.462) [-733.283] (-798.552) (-792.295) -- 0:03:14
Average standard deviation of split frequencies: 0.013273
906000 -- [-747.636] (-784.606) (-798.304) (-792.595) * (-798.746) [-735.395] (-798.021) (-798.582) -- 0:03:12
907000 -- [-732.572] (-779.286) (-790.030) (-799.241) * (-795.798) [-736.001] (-815.462) (-787.334) -- 0:03:10
908000 -- [-741.647] (-788.219) (-800.564) (-797.231) * (-806.753) [-736.704] (-808.025) (-796.367) -- 0:03:08
909000 -- [-741.553] (-777.608) (-789.581) (-794.832) * (-795.880) [-757.670] (-822.600) (-786.941) -- 0:03:06
910000 -- [-734.729] (-780.033) (-788.734) (-790.827) * (-791.299) [-755.676] (-821.193) (-791.613) -- 0:03:04
Average standard deviation of split frequencies: 0.012804
911000 -- [-744.029] (-780.251) (-785.497) (-802.125) * (-793.589) [-750.318] (-819.708) (-800.219) -- 0:03:02
912000 -- [-744.889] (-782.250) (-785.844) (-788.127) * (-786.181) [-746.515] (-813.254) (-810.386) -- 0:03:00
913000 -- [-744.601] (-782.180) (-781.026) (-780.601) * (-792.440) [-750.210] (-806.371) (-813.701) -- 0:02:58
914000 -- [-741.267] (-774.620) (-781.990) (-791.979) * (-795.079) [-750.882] (-799.530) (-819.442) -- 0:02:56
915000 -- [-739.547] (-787.277) (-771.863) (-794.883) * (-782.164) [-744.919] (-793.644) (-808.000) -- 0:02:54
Average standard deviation of split frequencies: 0.013380
916000 -- [-745.786] (-779.499) (-804.742) (-800.521) * (-785.678) [-757.353] (-803.332) (-791.113) -- 0:02:52
917000 -- [-750.525] (-780.141) (-791.192) (-792.747) * (-790.067) [-747.476] (-806.030) (-797.286) -- 0:02:50
918000 -- [-746.382] (-784.862) (-792.464) (-796.832) * (-784.844) [-741.296] (-810.148) (-800.097) -- 0:02:48
919000 -- [-754.031] (-784.763) (-799.434) (-793.862) * (-786.362) [-752.778] (-812.163) (-811.845) -- 0:02:46
920000 -- [-749.321] (-790.038) (-791.962) (-793.721) * (-785.426) [-748.875] (-802.651) (-798.785) -- 0:02:44
Average standard deviation of split frequencies: 0.013795
921000 -- [-744.631] (-795.221) (-790.088) (-801.419) * (-788.376) [-746.584] (-802.565) (-798.768) -- 0:02:42
922000 -- [-739.735] (-793.366) (-777.773) (-791.153) * (-781.543) [-739.221] (-803.303) (-799.234) -- 0:02:40
923000 -- [-735.619] (-784.250) (-783.514) (-793.743) * (-790.980) [-740.489] (-815.859) (-798.112) -- 0:02:38
924000 -- [-736.800] (-781.945) (-781.133) (-781.380) * (-788.032) [-738.531] (-811.478) (-780.720) -- 0:02:35
925000 -- [-742.544] (-783.328) (-779.345) (-789.421) * (-789.322) [-748.058] (-802.332) (-786.568) -- 0:02:33
Average standard deviation of split frequencies: 0.013716
926000 -- [-733.799] (-780.787) (-781.036) (-798.807) * (-787.614) [-758.945] (-812.783) (-804.377) -- 0:02:31
927000 -- [-740.453] (-794.194) (-782.726) (-793.453) * (-795.556) [-747.480] (-812.845) (-795.403) -- 0:02:29
928000 -- [-753.254] (-785.502) (-784.555) (-793.232) * (-785.954) [-743.900] (-807.299) (-787.616) -- 0:02:27
929000 -- [-760.835] (-790.963) (-780.187) (-788.156) * (-787.055) [-739.953] (-817.639) (-805.177) -- 0:02:25
930000 -- [-748.608] (-804.571) (-792.676) (-792.138) * (-784.903) [-741.510] (-821.232) (-791.382) -- 0:02:23
Average standard deviation of split frequencies: 0.013725
931000 -- [-743.403] (-795.532) (-798.135) (-806.757) * (-780.089) [-750.478] (-804.539) (-796.344) -- 0:02:21
932000 -- [-750.753] (-789.815) (-775.496) (-789.420) * (-779.132) [-738.443] (-799.599) (-799.815) -- 0:02:19
933000 -- [-745.557] (-782.725) (-792.052) (-790.019) * (-774.442) [-735.871] (-803.199) (-801.761) -- 0:02:17
934000 -- [-737.229] (-793.797) (-796.295) (-777.950) * (-782.811) [-743.660] (-807.491) (-799.160) -- 0:02:15
935000 -- [-735.917] (-787.028) (-804.595) (-783.074) * (-784.030) [-739.749] (-812.186) (-793.250) -- 0:02:13
Average standard deviation of split frequencies: 0.013695
936000 -- [-738.025] (-779.746) (-803.765) (-790.025) * (-791.007) [-730.393] (-802.239) (-794.217) -- 0:02:11
937000 -- [-734.938] (-783.819) (-798.136) (-782.468) * (-797.531) [-734.920] (-802.496) (-805.448) -- 0:02:09
938000 -- [-743.051] (-777.614) (-800.433) (-788.560) * (-789.108) [-735.004] (-799.619) (-814.101) -- 0:02:07
939000 -- [-729.233] (-777.533) (-791.686) (-787.347) * (-784.380) [-734.738] (-805.371) (-803.995) -- 0:02:05
940000 -- [-741.826] (-780.043) (-798.256) (-791.793) * (-782.804) [-738.271] (-793.996) (-806.900) -- 0:02:03
Average standard deviation of split frequencies: 0.014013
941000 -- [-743.520] (-778.862) (-790.170) (-788.297) * (-796.526) [-741.932] (-785.018) (-798.822) -- 0:02:01
942000 -- [-741.236] (-773.835) (-786.245) (-792.921) * (-796.623) [-737.421] (-796.123) (-801.997) -- 0:01:59
943000 -- [-745.734] (-787.028) (-791.225) (-791.186) * (-790.150) [-740.393] (-790.431) (-799.897) -- 0:01:56
944000 -- [-747.053] (-801.521) (-788.327) (-792.341) * (-794.827) [-741.673] (-800.911) (-806.142) -- 0:01:54
945000 -- [-742.279] (-782.665) (-783.301) (-790.769) * (-795.456) [-740.828] (-806.895) (-793.500) -- 0:01:52
Average standard deviation of split frequencies: 0.014010
946000 -- [-748.282] (-768.311) (-784.946) (-796.083) * (-778.219) [-731.976] (-825.528) (-790.593) -- 0:01:50
947000 -- [-737.775] (-778.778) (-780.078) (-791.406) * (-789.329) [-744.030] (-806.632) (-796.015) -- 0:01:48
948000 -- [-745.000] (-780.947) (-791.741) (-786.916) * (-789.660) [-736.812] (-808.772) (-794.406) -- 0:01:46
949000 -- [-741.770] (-777.627) (-795.805) (-793.315) * (-785.351) [-751.189] (-806.766) (-789.590) -- 0:01:44
950000 -- [-732.226] (-787.348) (-801.338) (-781.499) * (-796.155) [-742.942] (-812.295) (-792.857) -- 0:01:42
Average standard deviation of split frequencies: 0.013865
951000 -- [-738.347] (-780.000) (-795.430) (-786.348) * (-792.165) [-741.983] (-805.729) (-795.922) -- 0:01:40
952000 -- [-739.798] (-789.639) (-787.219) (-796.523) * (-796.276) [-738.166] (-785.464) (-786.581) -- 0:01:38
953000 -- [-740.461] (-790.177) (-787.217) (-789.416) * (-792.466) [-738.304] (-791.644) (-788.259) -- 0:01:36
954000 -- [-744.474] (-794.164) (-782.807) (-786.018) * (-784.136) [-735.620] (-799.067) (-785.581) -- 0:01:34
955000 -- [-754.890] (-795.128) (-784.753) (-789.988) * (-790.175) [-747.718] (-795.515) (-784.391) -- 0:01:32
Average standard deviation of split frequencies: 0.013968
956000 -- [-757.432] (-784.764) (-797.138) (-793.909) * (-787.549) [-740.899] (-809.085) (-791.363) -- 0:01:30
957000 -- [-751.646] (-779.930) (-782.686) (-791.333) * (-800.851) [-741.345] (-816.964) (-784.665) -- 0:01:28
958000 -- [-761.215] (-783.050) (-779.760) (-785.732) * (-796.522) [-736.470] (-806.449) (-796.264) -- 0:01:26
959000 -- [-760.784] (-781.862) (-781.926) (-782.742) * (-796.372) [-731.996] (-804.537) (-800.762) -- 0:01:24
960000 -- [-767.302] (-779.002) (-767.918) (-777.297) * (-787.258) [-734.921] (-804.959) (-787.059) -- 0:01:22
Average standard deviation of split frequencies: 0.014240
961000 -- [-762.073] (-786.489) (-779.692) (-794.331) * (-796.882) [-733.524] (-808.998) (-790.221) -- 0:01:19
962000 -- [-757.378] (-783.405) (-778.951) (-797.768) * (-792.169) [-736.796] (-815.763) (-795.827) -- 0:01:17
963000 -- [-756.688] (-797.141) (-781.234) (-792.375) * (-791.810) [-730.747] (-818.952) (-782.025) -- 0:01:15
964000 -- [-750.796] (-798.803) (-777.913) (-803.542) * (-794.755) [-733.896] (-821.585) (-781.731) -- 0:01:13
965000 -- [-755.498] (-796.901) (-775.262) (-802.793) * (-795.763) [-743.161] (-816.778) (-783.351) -- 0:01:11
Average standard deviation of split frequencies: 0.014612
966000 -- [-757.742] (-794.215) (-776.076) (-801.174) * (-802.829) [-737.445] (-804.228) (-787.184) -- 0:01:09
967000 -- [-754.793] (-799.221) (-766.059) (-795.431) * (-792.258) [-739.862] (-806.320) (-783.162) -- 0:01:07
968000 -- [-746.326] (-792.911) (-760.624) (-783.887) * (-787.031) [-734.440] (-817.112) (-790.653) -- 0:01:05
969000 -- [-742.723] (-787.200) (-773.889) (-790.555) * (-793.104) [-742.615] (-809.199) (-797.036) -- 0:01:03
970000 -- [-745.156] (-798.072) (-777.313) (-803.648) * (-802.281) [-738.344] (-805.482) (-790.017) -- 0:01:01
Average standard deviation of split frequencies: 0.015335
971000 -- [-733.280] (-792.546) (-770.255) (-804.961) * (-796.088) [-742.766] (-812.246) (-784.064) -- 0:00:59
972000 -- [-736.964] (-785.764) (-781.882) (-798.667) * (-803.947) [-743.511] (-813.643) (-785.453) -- 0:00:57
973000 -- [-738.709] (-802.557) (-776.499) (-794.099) * (-814.276) [-740.744] (-800.780) (-781.592) -- 0:00:55
974000 -- [-741.099] (-803.878) (-772.693) (-782.821) * (-804.100) [-744.237] (-801.303) (-778.389) -- 0:00:53
975000 -- [-735.678] (-794.966) (-780.888) (-797.615) * (-798.926) [-742.609] (-802.807) (-787.338) -- 0:00:51
Average standard deviation of split frequencies: 0.015642
976000 -- [-732.441] (-783.255) (-786.071) (-791.741) * (-788.538) [-742.888] (-812.794) (-799.625) -- 0:00:49
977000 -- [-737.121] (-779.422) (-792.211) (-791.270) * (-787.871) [-744.452] (-807.581) (-804.102) -- 0:00:47
978000 -- [-731.365] (-779.898) (-794.740) (-794.515) * (-777.105) [-739.989] (-816.688) (-780.854) -- 0:00:45
979000 -- [-732.491] (-779.672) (-806.715) (-790.541) * (-791.973) [-739.950] (-819.729) (-781.293) -- 0:00:43
980000 -- [-744.639] (-789.376) (-795.126) (-795.492) * (-803.882) [-749.483] (-810.564) (-785.473) -- 0:00:41
Average standard deviation of split frequencies: 0.015937
981000 -- [-746.356] (-785.935) (-793.615) (-800.872) * (-803.215) [-745.554] (-812.176) (-783.551) -- 0:00:38
982000 -- [-738.678] (-783.597) (-787.235) (-800.447) * (-809.338) [-740.313] (-812.754) (-804.628) -- 0:00:36
983000 -- [-735.942] (-782.150) (-782.389) (-793.527) * (-824.037) [-749.421] (-814.125) (-788.384) -- 0:00:34
984000 -- [-735.237] (-788.958) (-785.736) (-796.091) * (-805.801) [-743.608] (-810.029) (-785.244) -- 0:00:32
985000 -- [-734.500] (-787.166) (-780.955) (-805.318) * (-801.138) [-752.246] (-802.645) (-779.963) -- 0:00:30
Average standard deviation of split frequencies: 0.016136
986000 -- [-738.779] (-792.297) (-790.036) (-812.873) * (-805.924) [-740.176] (-801.224) (-785.087) -- 0:00:28
987000 -- [-737.528] (-790.884) (-784.977) (-801.832) * (-806.266) [-738.942] (-809.085) (-790.202) -- 0:00:26
988000 -- [-734.513] (-789.201) (-783.474) (-793.366) * (-808.211) [-748.313] (-812.707) (-790.527) -- 0:00:24
989000 -- [-731.278] (-801.983) (-788.171) (-790.156) * (-798.026) [-747.648] (-814.371) (-785.022) -- 0:00:22
990000 -- [-733.843] (-793.868) (-786.502) (-783.180) * (-799.630) [-744.977] (-797.828) (-779.651) -- 0:00:20
Average standard deviation of split frequencies: 0.016340
991000 -- [-729.447] (-794.216) (-784.963) (-790.369) * (-801.973) [-744.574] (-800.364) (-782.699) -- 0:00:18
992000 -- [-731.216] (-793.026) (-777.054) (-799.285) * (-795.571) [-747.739] (-810.312) (-777.058) -- 0:00:16
993000 -- [-738.779] (-793.624) (-781.972) (-804.254) * (-799.027) [-746.700] (-815.525) (-775.435) -- 0:00:14
994000 -- [-739.209] (-784.928) (-778.774) (-798.327) * (-798.887) [-740.069] (-810.576) (-781.715) -- 0:00:12
995000 -- [-739.987] (-780.487) (-784.419) (-780.365) * (-816.664) [-739.485] (-810.088) (-788.746) -- 0:00:10
Average standard deviation of split frequencies: 0.016484
996000 -- [-750.475] (-786.856) (-784.935) (-790.044) * (-807.652) [-741.308] (-804.247) (-795.396) -- 0:00:08
997000 -- [-738.260] (-789.473) (-784.833) (-779.396) * (-804.278) [-744.436] (-795.811) (-799.279) -- 0:00:06
998000 -- [-746.040] (-786.047) (-782.099) (-778.155) * (-802.575) [-737.277] (-801.404) (-795.655) -- 0:00:04
999000 -- [-742.617] (-781.212) (-775.709) (-784.908) * (-803.997) [-742.691] (-808.164) (-793.026) -- 0:00:02
1000000 -- [-740.460] (-785.338) (-784.220) (-788.328) * (-816.624) [-748.494] (-806.434) (-806.793) -- 0:00:00
Average standard deviation of split frequencies: 0.016289
Analysis completed in 34 mins 11 seconds
Analysis used 2048.02 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -721.65
Likelihood of best state for "cold" chain of run 2 was -758.02
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
62.0 % ( 63 %) Dirichlet(Revmat{all})
79.3 % ( 67 %) Slider(Revmat{all})
38.2 % ( 24 %) Dirichlet(Pi{all})
36.7 % ( 29 %) Slider(Pi{all})
74.2 % ( 60 %) Multiplier(Alpha{1,2})
68.3 % ( 46 %) Multiplier(Alpha{3})
79.0 % ( 79 %) Slider(Pinvar{all})
80.0 % ( 76 %) ExtSPR(Tau{all},V{all})
74.0 % ( 72 %) ExtTBR(Tau{all},V{all})
84.7 % ( 83 %) NNI(Tau{all},V{all})
55.0 % ( 59 %) ParsSPR(Tau{all},V{all})
27.7 % ( 33 %) Multiplier(V{all})
88.1 % ( 90 %) Nodeslider(V{all})
26.8 % ( 30 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
62.1 % ( 57 %) Dirichlet(Revmat{all})
78.8 % ( 78 %) Slider(Revmat{all})
37.0 % ( 31 %) Dirichlet(Pi{all})
36.1 % ( 20 %) Slider(Pi{all})
74.5 % ( 40 %) Multiplier(Alpha{1,2})
67.7 % ( 29 %) Multiplier(Alpha{3})
79.7 % ( 64 %) Slider(Pinvar{all})
80.2 % ( 76 %) ExtSPR(Tau{all},V{all})
73.9 % ( 76 %) ExtTBR(Tau{all},V{all})
84.5 % ( 78 %) NNI(Tau{all},V{all})
55.0 % ( 59 %) ParsSPR(Tau{all},V{all})
27.7 % ( 16 %) Multiplier(V{all})
88.1 % ( 89 %) Nodeslider(V{all})
26.9 % ( 28 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166489 0.02 0.00
3 | 166638 167548 0.08
4 | 165576 167280 166469
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 167245 0.02 0.00
3 | 166238 166650 0.08
4 | 166261 167300 166306
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)
+------------------------------------------------------------+ -733.53
| 1 |
| 1 1 |
| 2 1 1 1 2 12 1 |
| 2 2 1 2 1 1 1 2 2 1|
|21 2 2222 11 2 1 1 1 1 2 1 2 |
|1 *1 1 22 * 1 11 1 2 211 2 2 |
| * 1 1 2 2 2 1 2 2 11 2 1 |
| 1 1 22 1 2 221 2 21 1 2 |
| 2 1 1 1 1 2 2 2 2 2 11 |
| 2 2 2 2 2 2 2 2 22|
| 1 2 1 1 |
| 1 1 1 2 |
| 2 1 2 |
| |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -751.61
^ ^
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 -729.44 -762.17
2 -731.34 -766.44
--------------------------------------
TOTAL -729.99 -765.76
--------------------------------------
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} 0.142646 0.001519 0.079595 0.221651 0.136254 560.24 724.27 1.001
r(A<->C){all} 0.085824 0.002287 0.007698 0.175517 0.078930 191.53 201.81 1.004
r(A<->G){all} 0.157943 0.003625 0.050517 0.273746 0.149766 150.66 151.19 1.000
r(A<->T){all} 0.029799 0.000362 0.003114 0.069119 0.025804 298.92 310.20 1.001
r(C<->G){all} 0.042068 0.001520 0.000041 0.124104 0.029832 181.99 215.93 1.003
r(C<->T){all} 0.616685 0.007245 0.444857 0.774882 0.621324 96.91 128.92 1.006
r(G<->T){all} 0.067681 0.001161 0.011821 0.132393 0.062513 268.70 283.67 1.000
pi(A){all} 0.316430 0.000629 0.268946 0.365964 0.315750 661.45 667.07 1.000
pi(C){all} 0.135298 0.000349 0.098981 0.170512 0.134102 521.77 558.72 1.000
pi(G){all} 0.188128 0.000446 0.147049 0.229854 0.187153 520.66 659.02 1.000
pi(T){all} 0.360144 0.000647 0.314282 0.412693 0.360913 636.47 738.22 1.001
alpha{1,2} 0.677116 0.670114 0.000616 2.217160 0.408340 732.90 883.66 1.001
alpha{3} 1.258913 0.989723 0.002956 3.232084 1.002137 549.35 555.19 1.000
pinvar{all} 0.502288 0.035581 0.103329 0.788412 0.542167 272.96 278.34 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C109
2 -- C192
3 -- C256
4 -- C37
5 -- C69
6 -- C101
7 -- C138
8 -- C165
9 -- C191
10 -- C217
11 -- C240
12 -- C57
13 -- C258
14 -- C276
15 -- C31
16 -- C34
17 -- C38
18 -- C44
19 -- C49
20 -- C51
21 -- C55
22 -- C66
23 -- C252
24 -- C13
25 -- C73
26 -- C79
27 -- C84
28 -- C86
29 -- C90
30 -- C14
31 -- C104
32 -- C108
33 -- C114
34 -- C153
35 -- C119
36 -- C121
37 -- C125
38 -- C136
39 -- C139
40 -- C143
41 -- C149
42 -- C154
43 -- C156
44 -- C160
45 -- C16
46 -- C171
47 -- C174
48 -- C178
49 -- C184
50 -- C189
51 -- C17
52 -- C195
53 -- C206
54 -- C209
55 -- C213
56 -- C126
57 -- C219
58 -- C224
59 -- C226
60 -- C230
61 -- C241
62 -- C244
63 -- C248
64 -- C254
65 -- C259
66 -- C261
67 -- C232
68 -- C265
69 -- C21
70 -- C279
71 -- C77
72 -- C128
73 -- C130
74 -- C131
75 -- C129
76 -- C22
77 -- C43
78 -- C2
79 -- C135
80 -- C80
81 -- C137
82 -- C15
83 -- C32
84 -- C33
85 -- C45
86 -- C142
87 -- C87
88 -- C144
89 -- C6
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 -- .......................................................................
91 -- .........*...........................................**................
92 -- ....**.......*.......*.................................................
93 -- .***************************************************************.******
94 -- .*.*..*.*.....******...*.*****...*...***************.............*.**.*
95 -- .*.*******.*.*******.*.*.*****...*...******************..........*.**.*
96 -- ....*................*.................................................
97 -- .........................****.........................................*
98 -- ..........*...........*...........**.....................*..****.......
99 -- ..........*...........*...........**.....................*..****.....*.
100 -- ..........*...........*...........**........................****.......
101 -- .........*...........................................*.................
102 -- .......*............................................*..................
103 -- .*.*******.*.*******.*.*.*****.*.*...******************..........*.**.*
104 -- .....*.......*.........................................................
105 -- .*.*..****.*..******...*.*****...*...******************..........*.**.*
106 -- .***************************************************************.******
107 -- .**********************************************************************
108 -- ..........*...........*...........**.....................*..****.......
109 -- ..........*...........*...........**........................****.......
110 -- .....................................................*.................
111 -- ................................................................*......
112 -- .........*.............................................................
113 -- .........................................................*.............
114 -- .........*...........................................*.................
115 -- ....**.*.....*.......*..............................*..................
116 -- ....**...............*.................................................
117 -- ...........................**..........................................
118 -- .........................*............................................*
119 -- ..........................*.*..........................................
120 -- .........................*.*...........................................
121 -- ...........................*..........................................*
122 -- .........................*.**.........................................*
123 -- .........................**............................................
124 -- ............................*.........................................*
125 -- .........*.*.........................................**................
126 -- ....*........*.......*.................................................
127 -- ..........................***.........................................*
128 -- .........................****..........................................
129 -- .........................***..........................................*
130 -- .........................**.*.........................................*
131 -- ..........................*...........................................*
132 -- .*.*..*.*.....******...*.*****...*...***************.............*.**.*
133 -- ..........................**...........................................
134 -- .*.*..*.**....******...*.*****...*...***************.**..........*.**.*
135 -- .*.*..*.*..*..******...*.*****...*...***************.............*.**.*
136 -- .........................*..*..........................................
137 -- .........*...........................................**................
138 -- ...........*...........................................................
139 -- .*.*..*.**.*..******...*.*****...*...***************.**..........*.**.*
140 -- .......*.*..........................................***................
141 -- .*.*..***.....******...*.*****...*...****************............*.**.*
142 -- ..............................................................**.......
--------------------------------------------------------------------------------
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 -- ..................*
91 -- .*.................
92 -- ...................
93 -- ***.***************
94 -- ....***************
95 -- .**.***************
96 -- ...................
97 -- ...................
98 -- *..................
99 -- *..................
100 -- ...................
101 -- .*.................
102 -- ...................
103 -- .**.***************
104 -- ...................
105 -- .**.***************
106 -- *******************
107 -- ***.***************
108 -- ...................
109 -- *..................
110 -- .*.................
111 -- ...*...............
112 -- .*.................
113 -- *..................
114 -- ...................
115 -- ...................
116 -- ...................
117 -- ...................
118 -- ...................
119 -- ...................
120 -- ...................
121 -- ...................
122 -- ...................
123 -- ...................
124 -- ...................
125 -- .*.................
126 -- ...................
127 -- ...................
128 -- ...................
129 -- ...................
130 -- ...................
131 -- ...................
132 -- ..*.***************
133 -- ...................
134 -- .*..***************
135 -- ....***************
136 -- ...................
137 -- .**................
138 -- ..*................
139 -- .**.***************
140 -- .*.................
141 -- ....***************
142 -- ...................
--------------------------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
91 3002 1.000000 0.000000 1.000000 1.000000 2
92 3002 1.000000 0.000000 1.000000 1.000000 2
93 2991 0.996336 0.003298 0.994004 0.998668 2
94 2985 0.994337 0.008009 0.988674 1.000000 2
95 2962 0.986676 0.015075 0.976016 0.997335 2
96 2940 0.979347 0.010364 0.972019 0.986676 2
97 2835 0.944370 0.020257 0.930047 0.958694 2
98 2814 0.937375 0.011306 0.929380 0.945370 2
99 2813 0.937042 0.006124 0.932712 0.941372 2
100 2771 0.923051 0.010835 0.915390 0.930713 2
101 2586 0.861426 0.017901 0.848767 0.874084 2
102 2342 0.780147 0.007537 0.774817 0.785476 2
103 2177 0.725183 0.010835 0.717522 0.732845 2
104 1907 0.635243 0.094689 0.568288 0.702199 2
105 1254 0.417722 0.096102 0.349767 0.485676 2
106 1031 0.343438 0.002355 0.341772 0.345103 2
107 1023 0.340773 0.002355 0.339107 0.342438 2
108 988 0.329114 0.009422 0.322452 0.335776 2
109 961 0.320120 0.001413 0.319121 0.321119 2
110 952 0.317122 0.002827 0.315123 0.319121 2
111 947 0.315456 0.005182 0.311792 0.319121 2
112 933 0.310793 0.007066 0.305796 0.315789 2
113 925 0.308128 0.013662 0.298468 0.317788 2
114 907 0.302132 0.015546 0.291139 0.313125 2
115 803 0.267488 0.046638 0.234510 0.300466 2
116 651 0.216855 0.064539 0.171219 0.262492 2
117 466 0.155230 0.005653 0.151233 0.159227 2
118 451 0.150233 0.001413 0.149234 0.151233 2
119 448 0.149234 0.016959 0.137242 0.161226 2
120 448 0.149234 0.023555 0.132578 0.165889 2
121 444 0.147901 0.013191 0.138574 0.157229 2
122 443 0.147568 0.032505 0.124584 0.170553 2
123 440 0.146569 0.032976 0.123251 0.169887 2
124 436 0.145237 0.009422 0.138574 0.151899 2
125 425 0.141572 0.009893 0.134577 0.148568 2
126 424 0.141239 0.032034 0.118588 0.163891 2
127 423 0.140906 0.010835 0.133245 0.148568 2
128 416 0.138574 0.028265 0.118588 0.158561 2
129 412 0.137242 0.010364 0.129913 0.144570 2
130 405 0.134910 0.004240 0.131912 0.137908 2
131 404 0.134577 0.008480 0.128581 0.140573 2
132 403 0.134244 0.009893 0.127249 0.141239 2
133 400 0.133245 0.000000 0.133245 0.133245 2
134 397 0.132245 0.024026 0.115256 0.149234 2
135 396 0.131912 0.011306 0.123917 0.139907 2
136 394 0.131246 0.004711 0.127915 0.134577 2
137 372 0.123917 0.001884 0.122585 0.125250 2
138 354 0.117921 0.002827 0.115923 0.119920 2
139 323 0.107595 0.008951 0.101266 0.113924 2
140 309 0.102931 0.009893 0.095936 0.109927 2
141 303 0.100933 0.022141 0.085276 0.116589 2
142 244 0.081279 0.028265 0.061292 0.101266 2
-----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
--------------------------------------------------------------------------------------------
length{all}[1] 0.000656 0.000000 0.000000 0.002084 0.000444 1.000 2
length{all}[2] 0.000664 0.000001 0.000000 0.002089 0.000437 1.003 2
length{all}[3] 0.000648 0.000001 0.000001 0.001983 0.000438 1.000 2
length{all}[4] 0.000651 0.000000 0.000001 0.002002 0.000440 1.000 2
length{all}[5] 0.002373 0.000002 0.000277 0.004987 0.002096 1.000 2
length{all}[6] 0.001067 0.000001 0.000001 0.002962 0.000795 1.000 2
length{all}[7] 0.000605 0.000000 0.000000 0.001823 0.000414 1.000 2
length{all}[8] 0.000649 0.000000 0.000000 0.002019 0.000425 1.003 2
length{all}[9] 0.000702 0.000001 0.000000 0.002152 0.000451 1.000 2
length{all}[10] 0.002631 0.000002 0.000363 0.005491 0.002278 1.002 2
length{all}[11] 0.000613 0.000000 0.000000 0.001811 0.000429 1.000 2
length{all}[12] 0.000658 0.000000 0.000000 0.001947 0.000466 1.001 2
length{all}[13] 0.001339 0.000001 0.000022 0.003347 0.001089 1.003 2
length{all}[14] 0.000844 0.000001 0.000000 0.002511 0.000571 1.000 2
length{all}[15] 0.000649 0.000000 0.000000 0.002085 0.000408 1.003 2
length{all}[16] 0.000681 0.000001 0.000000 0.002129 0.000444 1.000 2
length{all}[17] 0.000686 0.000000 0.000000 0.002033 0.000461 1.000 2
length{all}[18] 0.001347 0.000001 0.000027 0.003193 0.001138 1.000 2
length{all}[19] 0.000623 0.000000 0.000000 0.001939 0.000428 1.001 2
length{all}[20] 0.000690 0.000001 0.000000 0.002167 0.000464 1.007 2
length{all}[21] 0.000669 0.000001 0.000001 0.002091 0.000425 1.002 2
length{all}[22] 0.000947 0.000001 0.000000 0.002621 0.000684 1.000 2
length{all}[23] 0.000661 0.000000 0.000000 0.002078 0.000445 1.000 2
length{all}[24] 0.000672 0.000001 0.000000 0.002012 0.000457 1.000 2
length{all}[25] 0.000644 0.000000 0.000000 0.001955 0.000431 1.000 2
length{all}[26] 0.000621 0.000000 0.000000 0.001911 0.000420 1.002 2
length{all}[27] 0.000676 0.000001 0.000000 0.002038 0.000460 1.002 2
length{all}[28] 0.000636 0.000000 0.000000 0.001958 0.000426 1.001 2
length{all}[29] 0.000628 0.000000 0.000001 0.001984 0.000410 1.001 2
length{all}[30] 0.000672 0.000000 0.000000 0.002033 0.000452 1.000 2
length{all}[31] 0.000640 0.000000 0.000001 0.001968 0.000440 1.000 2
length{all}[32] 0.000890 0.000001 0.000000 0.002747 0.000585 1.001 2
length{all}[33] 0.000651 0.000001 0.000000 0.002000 0.000427 1.000 2
length{all}[34] 0.000650 0.000000 0.000000 0.001949 0.000431 1.001 2
length{all}[35] 0.000657 0.000001 0.000000 0.001974 0.000421 1.002 2
length{all}[36] 0.000713 0.000001 0.000000 0.002166 0.000488 1.001 2
length{all}[37] 0.000670 0.000000 0.000000 0.002066 0.000429 1.000 2
length{all}[38] 0.000683 0.000001 0.000000 0.002167 0.000440 1.001 2
length{all}[39] 0.001371 0.000001 0.000034 0.003491 0.001107 1.001 2
length{all}[40] 0.000676 0.000000 0.000001 0.002109 0.000453 1.000 2
length{all}[41] 0.000734 0.000001 0.000000 0.002223 0.000501 1.000 2
length{all}[42] 0.000663 0.000000 0.000000 0.002079 0.000445 1.000 2
length{all}[43] 0.000636 0.000000 0.000001 0.001933 0.000435 1.001 2
length{all}[44] 0.002071 0.000002 0.000155 0.004718 0.001742 1.000 2
length{all}[45] 0.001338 0.000001 0.000036 0.003392 0.001062 1.002 2
length{all}[46] 0.001303 0.000001 0.000023 0.003204 0.001083 1.000 2
length{all}[47] 0.000636 0.000000 0.000000 0.001890 0.000427 1.006 2
length{all}[48] 0.000667 0.000001 0.000000 0.001986 0.000458 1.000 2
length{all}[49] 0.000659 0.000000 0.000001 0.002085 0.000448 1.001 2
length{all}[50] 0.000647 0.000000 0.000000 0.001968 0.000442 1.001 2
length{all}[51] 0.000673 0.000001 0.000000 0.002062 0.000449 1.000 2
length{all}[52] 0.000669 0.000001 0.000000 0.002043 0.000441 1.000 2
length{all}[53] 0.001322 0.000001 0.000040 0.003412 0.001041 1.006 2
length{all}[54] 0.001381 0.000001 0.000013 0.003399 0.001104 1.004 2
length{all}[55] 0.001378 0.000001 0.000001 0.003394 0.001135 1.000 2
length{all}[56] 0.000647 0.000000 0.000000 0.002006 0.000432 1.001 2
length{all}[57] 0.000660 0.000000 0.000000 0.001986 0.000452 1.001 2
length{all}[58] 0.000683 0.000000 0.000000 0.002081 0.000481 1.000 2
length{all}[59] 0.000634 0.000000 0.000000 0.001980 0.000423 1.000 2
length{all}[60] 0.000652 0.000000 0.000000 0.002126 0.000413 1.002 2
length{all}[61] 0.000658 0.000000 0.000001 0.001928 0.000468 1.000 2
length{all}[62] 0.000677 0.000001 0.000000 0.002086 0.000448 1.001 2
length{all}[63] 0.000628 0.000000 0.000000 0.001942 0.000429 1.001 2
length{all}[64] 0.000649 0.000000 0.000000 0.001932 0.000455 1.000 2
length{all}[65] 0.000634 0.000000 0.000000 0.001921 0.000411 1.000 2
length{all}[66] 0.000646 0.000000 0.000001 0.001890 0.000447 1.002 2
length{all}[67] 0.000644 0.000000 0.000001 0.001921 0.000411 1.001 2
length{all}[68] 0.000640 0.000000 0.000000 0.002002 0.000428 1.000 2
length{all}[69] 0.000733 0.000001 0.000000 0.002285 0.000474 1.000 2
length{all}[70] 0.000723 0.000001 0.000000 0.002278 0.000482 1.000 2
length{all}[71] 0.000668 0.000001 0.000000 0.002183 0.000418 1.005 2
length{all}[72] 0.000675 0.000001 0.000003 0.002042 0.000449 1.003 2
length{all}[73] 0.000655 0.000001 0.000001 0.002065 0.000439 1.000 2
length{all}[74] 0.001329 0.000001 0.000049 0.003542 0.001047 1.000 2
length{all}[75] 0.000666 0.000000 0.000000 0.001958 0.000475 1.001 2
length{all}[76] 0.000666 0.000001 0.000000 0.002052 0.000430 1.002 2
length{all}[77] 0.000693 0.000001 0.000000 0.002231 0.000468 1.003 2
length{all}[78] 0.000655 0.000001 0.000000 0.002045 0.000418 1.001 2
length{all}[79] 0.000673 0.000001 0.000000 0.002137 0.000450 1.000 2
length{all}[80] 0.001361 0.000001 0.000022 0.003274 0.001118 1.000 2
length{all}[81] 0.000644 0.000000 0.000000 0.002012 0.000420 1.002 2
length{all}[82] 0.000682 0.000000 0.000000 0.002119 0.000470 1.002 2
length{all}[83] 0.000677 0.000001 0.000000 0.002086 0.000446 1.000 2
length{all}[84] 0.000651 0.000000 0.000000 0.001987 0.000439 1.000 2
length{all}[85] 0.000659 0.000000 0.000000 0.001981 0.000449 1.000 2
length{all}[86] 0.000624 0.000000 0.000001 0.001937 0.000399 1.000 2
length{all}[87] 0.000687 0.000000 0.000001 0.002064 0.000470 1.000 2
length{all}[88] 0.000691 0.000001 0.000000 0.002125 0.000467 1.004 2
length{all}[89] 0.000682 0.000001 0.000000 0.002162 0.000442 1.001 2
length{all}[90] 0.000671 0.000000 0.000001 0.002027 0.000451 1.000 2
length{all}[91] 0.002133 0.000002 0.000119 0.004897 0.001819 1.004 2
length{all}[92] 0.002082 0.000002 0.000198 0.004689 0.001791 1.001 2
length{all}[93] 0.001315 0.000001 0.000023 0.003447 0.001025 1.000 2
length{all}[94] 0.002079 0.000002 0.000194 0.004797 0.001781 1.003 2
length{all}[95] 0.001955 0.000002 0.000020 0.004572 0.001627 1.000 2
length{all}[96] 0.001682 0.000001 0.000036 0.004000 0.001455 1.016 2
length{all}[97] 0.001328 0.000001 0.000017 0.003379 0.001027 1.000 2
length{all}[98] 0.001349 0.000001 0.000018 0.003313 0.001110 1.000 2
length{all}[99] 0.001471 0.000001 0.000020 0.003544 0.001162 1.000 2
length{all}[100] 0.001345 0.000001 0.000029 0.003272 0.001090 1.000 2
length{all}[101] 0.001248 0.000001 0.000001 0.003086 0.001006 1.000 2
length{all}[102] 0.001220 0.000001 0.000003 0.003058 0.000979 1.000 2
length{all}[103] 0.001285 0.000001 0.000003 0.003219 0.001063 1.002 2
length{all}[104] 0.001115 0.000001 0.000004 0.002658 0.000925 1.008 2
length{all}[105] 0.001384 0.000001 0.000003 0.003797 0.001070 1.000 2
length{all}[106] 0.000667 0.000001 0.000003 0.002237 0.000397 1.005 2
length{all}[107] 0.000672 0.000000 0.000001 0.002161 0.000461 1.002 2
length{all}[108] 0.000646 0.000000 0.000001 0.002044 0.000425 1.000 2
length{all}[109] 0.000678 0.000001 0.000001 0.002104 0.000434 1.006 2
length{all}[110] 0.000683 0.000000 0.000000 0.002030 0.000453 1.000 2
length{all}[111] 0.000664 0.000000 0.000001 0.002083 0.000444 1.004 2
length{all}[112] 0.000688 0.000001 0.000002 0.002307 0.000424 0.999 2
length{all}[113] 0.000726 0.000001 0.000001 0.002127 0.000477 1.000 2
length{all}[114] 0.000647 0.000000 0.000000 0.001856 0.000438 1.001 2
length{all}[115] 0.001264 0.000001 0.000011 0.003434 0.000954 0.999 2
length{all}[116] 0.000954 0.000001 0.000003 0.002583 0.000713 1.000 2
length{all}[117] 0.000652 0.000000 0.000001 0.002086 0.000440 1.001 2
length{all}[118] 0.000578 0.000000 0.000000 0.001787 0.000385 0.999 2
length{all}[119] 0.000645 0.000000 0.000002 0.002057 0.000419 0.999 2
length{all}[120] 0.000670 0.000000 0.000001 0.002095 0.000434 0.998 2
length{all}[121] 0.000676 0.000001 0.000001 0.002016 0.000447 0.998 2
length{all}[122] 0.000694 0.000000 0.000003 0.002247 0.000454 1.020 2
length{all}[123] 0.000691 0.000001 0.000003 0.002219 0.000496 0.998 2
length{all}[124] 0.000646 0.000000 0.000003 0.002034 0.000427 0.999 2
length{all}[125] 0.000699 0.000001 0.000003 0.002295 0.000487 0.998 2
length{all}[126] 0.000787 0.000001 0.000002 0.002421 0.000521 1.004 2
length{all}[127] 0.000785 0.000001 0.000006 0.002450 0.000530 1.020 2
length{all}[128] 0.000621 0.000000 0.000001 0.001928 0.000405 1.001 2
length{all}[129] 0.000717 0.000001 0.000004 0.002033 0.000476 1.007 2
length{all}[130] 0.000690 0.000001 0.000000 0.002125 0.000407 0.998 2
length{all}[131] 0.000655 0.000001 0.000002 0.002077 0.000422 1.007 2
length{all}[132] 0.000655 0.000000 0.000003 0.002159 0.000427 1.003 2
length{all}[133] 0.000623 0.000000 0.000004 0.001998 0.000437 0.999 2
length{all}[134] 0.000757 0.000001 0.000001 0.002434 0.000478 1.011 2
length{all}[135] 0.000660 0.000001 0.000003 0.001883 0.000436 0.998 2
length{all}[136] 0.000692 0.000001 0.000001 0.002144 0.000479 0.998 2
length{all}[137] 0.000685 0.000001 0.000005 0.002034 0.000472 1.001 2
length{all}[138] 0.000638 0.000000 0.000004 0.001970 0.000444 0.998 2
length{all}[139] 0.000745 0.000001 0.000005 0.002319 0.000504 1.000 2
length{all}[140] 0.000623 0.000001 0.000003 0.001643 0.000422 0.998 2
length{all}[141] 0.000688 0.000000 0.000009 0.002195 0.000451 0.998 2
length{all}[142] 0.000612 0.000000 0.000004 0.001680 0.000416 1.002 2
--------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.016289
Maximum standard deviation of split frequencies = 0.096102
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.020
Clade credibility values:
/--------------------------------------------------------------------- C109 (1)
|
|--------------------------------------------------------------------- C259 (65)
|
|--------------------------------------------------------------------- C129 (75)
|
| /----------------------- C192 (2)
| |
| |----------------------- C37 (4)
| |
| |----------------------- C138 (7)
| |
| |----------------------- C191 (9)
| |
| |----------------------- C31 (15)
| |
| |----------------------- C34 (16)
| |
| |----------------------- C38 (17)
| |
| |----------------------- C44 (18)
| |
| |----------------------- C49 (19)
| |
| |----------------------- C51 (20)
| |
| |----------------------- C13 (24)
| |
| | /----------- C79 (26)
| | |
| | |----------- C84 (27)
| | |
| |-----94----+----------- C86 (28)
| | |
| | |----------- C90 (29)
| | |
| | \----------- C77 (71)
| |
| |----------------------- C14 (30)
| |
| |----------------------- C153 (34)
| |
| |----------------------- C136 (38)
| |
| |----------------------- C139 (39)
| |
| |----------------------- C143 (40)
| |
| |----------------------- C149 (41)
| |
| |----------------------- C154 (42)
| |
| |----------------------- C156 (43)
| |
| |----------------------- C160 (44)
| |
| /----99----+----------------------- C16 (45)
| | |
| | |----------------------- C171 (46)
| | |
| | |----------------------- C174 (47)
| | |
| | |----------------------- C178 (48)
| | |
| | |----------------------- C184 (49)
| | |
| | |----------------------- C189 (50)
| | |
| | |----------------------- C17 (51)
| | |
| | |----------------------- C195 (52)
| | |
| | |----------------------- C261 (66)
+ | |
| | |----------------------- C265 (68)
| | |
| | |----------------------- C21 (69)
| | |
| | |----------------------- C22 (76)
| | |
| | |----------------------- C43 (77)
| | |
| | |----------------------- C2 (78)
| | |
| | |----------------------- C135 (79)
| | |
| | |----------------------- C80 (80)
| | |
| | |----------------------- C137 (81)
| | |
| | |----------------------- C15 (82)
| | |
| | |----------------------- C32 (83)
| /-----99----+ |
| | | |----------------------- C33 (84)
| | | |
| | | |----------------------- C45 (85)
| | | |
| | | |----------------------- C142 (86)
| | | |
| | | |----------------------- C87 (87)
| | | |
| | | |----------------------- C144 (88)
| | | |
| | | |----------------------- C6 (89)
| | | |
| | | \----------------------- C145 (90)
| | |
| | | /----------- C69 (5)
| | | /-----98----+
| | | | \----------- C66 (22)
| | |----100---+
| | | | /----------- C101 (6)
| /----73----+ | \-----64----+
| | | | \----------- C276 (14)
| | | |
| | | | /----------- C165 (8)
| | | |----------78----------+
| | | | \----------- C206 (53)
| | | |
| | | | /----------- C217 (10)
| | | | |
| | | | /-----86----+----------- C209 (54)
| | | | | |
| | | |----100---+ \----------- C130 (73)
| | | | |
| | | | \----------------------- C213 (55)
| | | |
| | | |---------------------------------- C57 (12)
| | | |
| | | \---------------------------------- C131 (74)
| | |
| | \---------------------------------------------- C108 (32)
| |
| |--------------------------------------------------------- C256 (3)
| |
| | /----------- C240 (11)
| | |
| | |----------- C252 (23)
| | |
| | |----------- C119 (35)
| | |
| | |----------- C121 (36)
| | /-----92----+
| | | |----------- C241 (61)
| | | |
\----100----+ | |----------- C244 (62)
| | |
| | |----------- C248 (63)
| /----94----+ |
| | | \----------- C254 (64)
| | |
| | |----------------------- C224 (58)
|----------94----------+ |
| | \----------------------- C128 (72)
| |
| \---------------------------------- C279 (70)
|
|--------------------------------------------------------- C258 (13)
|
|--------------------------------------------------------- C55 (21)
|
|--------------------------------------------------------- C73 (25)
|
|--------------------------------------------------------- C104 (31)
|
|--------------------------------------------------------- C114 (33)
|
|--------------------------------------------------------- C125 (37)
|
|--------------------------------------------------------- C126 (56)
|
|--------------------------------------------------------- C219 (57)
|
|--------------------------------------------------------- C226 (59)
|
|--------------------------------------------------------- C230 (60)
|
\--------------------------------------------------------- C232 (67)
Phylogram (based on average branch lengths):
/--- C109 (1)
|
|--- C259 (65)
|
|---- C129 (75)
|
| /--- C192 (2)
| |
| |--- C37 (4)
| |
| |--- C138 (7)
| |
| |---- C191 (9)
| |
| |--- C31 (15)
| |
| |--- C34 (16)
| |
| |---- C38 (17)
| |
| |--------- C44 (18)
| |
| |--- C49 (19)
| |
| |---- C51 (20)
| |
| |---- C13 (24)
| |
| | /--- C79 (26)
| | |
| | |---- C84 (27)
| | |
| |-------+--- C86 (28)
| | |
| | |--- C90 (29)
| | |
| | \--- C77 (71)
| |
| |---- C14 (30)
| |
| |--- C153 (34)
| |
| |--- C136 (38)
| |
| |--------- C139 (39)
| |
| |---- C143 (40)
| |
| |---- C149 (41)
| |
| |--- C154 (42)
| |
| |--- C156 (43)
| |
| |-------------- C160 (44)
| |
| /-------------+-------- C16 (45)
| | |
| | |-------- C171 (46)
| | |
| | |--- C174 (47)
| | |
| | |---- C178 (48)
| | |
| | |---- C184 (49)
| | |
| | |--- C189 (50)
| | |
| | |---- C17 (51)
| | |
| | |--- C195 (52)
| | |
| | |---- C261 (66)
+ | |
| | |--- C265 (68)
| | |
| | |---- C21 (69)
| | |
| | |--- C22 (76)
| | |
| | |---- C43 (77)
| | |
| | |--- C2 (78)
| | |
| | |---- C135 (79)
| | |
| | |--------- C80 (80)
| | |
| | |--- C137 (81)
| | |
| | |---- C15 (82)
| | |
| | |--- C32 (83)
| /------------+ |
| | | |--- C33 (84)
| | | |
| | | |---- C45 (85)
| | | |
| | | |--- C142 (86)
| | | |
| | | |---- C87 (87)
| | | |
| | | |---- C144 (88)
| | | |
| | | |--- C6 (89)
| | | |
| | | \---- C145 (90)
| | |
| | | /----------------- C69 (5)
| | | /----------+
| | | | \------ C66 (22)
| | |-------------+
| | | | /------- C101 (6)
| /-------+ | \------+
| | | | \----- C276 (14)
| | | |
| | | | /--- C165 (8)
| | | |-------+
| | | | \-------- C206 (53)
| | | |
| | | | /------------------ C217 (10)
| | | | |
| | | | /-------+--------- C209 (54)
| | | | | |
| | | |-------------+ \---- C130 (73)
| | | | |
| | | | \--------- C213 (55)
| | | |
| | | |---- C57 (12)
| | | |
| | | \-------- C131 (74)
| | |
| | \----- C108 (32)
| |
| |--- C256 (3)
| |
| | /---- C240 (11)
| | |
| | |---- C252 (23)
| | |
| | |---- C119 (35)
| | |
| | |---- C121 (36)
| | /-------+
| | | |---- C241 (61)
| | | |
\-------+ | |---- C244 (62)
| | |
| | |---- C248 (63)
| /--------+ |
| | | \---- C254 (64)
| | |
| | |---- C224 (58)
|--------+ |
| | \--- C128 (72)
| |
| \---- C279 (70)
|
|--------- C258 (13)
|
|--- C55 (21)
|
|--- C73 (25)
|
|--- C104 (31)
|
|--- C114 (33)
|
|--- C125 (37)
|
|--- C126 (56)
|
|---- C219 (57)
|
|--- C226 (59)
|
|--- C230 (60)
|
\--- C232 (67)
|--------------| 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: `(C109,C259,C129,((((C192,C37,C138,C191,C31,C34,C38,C44,C49,C51,C13,(C79,C84,C86,C90,C77),C14,C153,C136,C139,C143,C149,C154,C156,C160,C16,C171,C174,C178,C184,C189,C17,C195,C261,C265,C21,C22,C43,C2,C135,C80,C137,C15,C32,C33,C45,C142,C87,C144,C6,C145),((C69,C66),(C101,C276)),(C165,C206),((C217,C209,C130),C213),C57,C131),C108),C256,(((C240,C252,C119,C121,C241,C244,C248,C254),C224,C128),C279),C258,C55,C73,C104,C114,C125,C126,C219,C226,C230,C232))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **90** sequences, **110** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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) = -687.92, AIC-c = 1600.69 (112 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.113
### 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 = 0.286
* 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=0.13 sec, SCORE=1000, Nseq=90, Len=110
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_109 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_152 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_153 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_16 NNELMPAKLKIQVVNSGPDHTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_126 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_132 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_192 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_156 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_17 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 NNELMPVKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_101 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_138 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_165 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_191 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_117 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_140 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_158 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_176 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_14 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_18 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_14 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_19 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_11 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_15 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_16 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_13 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_13 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_14 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_16 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
1908A_2010_nsp6_VIPR_ALG4_701216617_12576_12905_1_2010_03_China_Human_Betacoronavirus_10 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_14 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_104 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_108 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_114 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_119 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_121 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_125 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_136 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_139 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_143 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_149 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_154 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_156 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_160 NNELMPAKLKIQVVNSGPDQICNTPTQCYYNNSNNGKIVYAILSDVAGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_171 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_174 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_178 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_184 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_189 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_17 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_195 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_106 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_109 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_113 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_119 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_124 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_126 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_130 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_141 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_144 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_148 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_154 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_159 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_161 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_165 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_179 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_128 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_130 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_131 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSYNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_129 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_13 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_135 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_10 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_137 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_15 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_13 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_15 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_142 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_17 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_144 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_145 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK
******.*** ********: ************ ************ ***
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_109 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_152 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_153 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_16 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_126 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_132 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_192 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_156 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_17 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_101 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_138 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_165 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_191 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_117 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_140 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_158 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_176 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_14 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_18 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_14 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_19 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_11 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_15 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_16 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_13 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_13 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_14 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_16 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
1908A_2010_nsp6_VIPR_ALG4_701216617_12576_12905_1_2010_03_China_Human_Betacoronavirus_10 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_14 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_104 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_108 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_114 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_119 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_121 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_125 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_136 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_139 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_143 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_149 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_154 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_156 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_160 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_171 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_174 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_178 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_184 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_189 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_17 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_195 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_106 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_109 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_113 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_119 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_124 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_126 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_130 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_141 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_144 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_148 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_154 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_159 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_161 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_165 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_179 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_128 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_130 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_131 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_129 YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_13 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_135 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_10 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_137 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_15 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_13 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_15 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_142 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_17 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_144 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_145 YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV
**************************.***********************
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_109 GTISSTVRLQ
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_152 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_153 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_16 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_126 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_132 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 GTISSTVRLQ
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_192 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_156 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_17 GTISSTVRLQ
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_101 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_138 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_165 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_191 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_117 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_140 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_158 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_176 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_14 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_18 GTISSTVRLQ
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_14 GTISSTVRLQ
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_19 GTISSTVRLQ
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_11 GTISSTVRLQ
12689_2012_nsp6_VIPR_ALG4_701216729_12576_12905_1_2012_05_China_Human_Betacoronavirus_15 GTISSTVRLQ
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_16 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_13 GTISSTVRLQ
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_13 GTISSTVRLQ
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_19 GTISSTVRLQ
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_14 GTISSTVRLQ
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_16 GTISSTVRLQ
1908A_2010_nsp6_VIPR_ALG4_701216617_12576_12905_1_2010_03_China_Human_Betacoronavirus_10 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_14 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_104 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_108 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_114 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_119 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_121 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_125 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_136 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_139 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_143 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_149 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_154 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_156 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_160 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_171 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_174 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_178 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_184 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_189 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_17 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_195 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_106 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_109 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_113 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_119 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_124 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_126 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_130 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_141 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_144 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_148 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_154 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_159 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_161 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_165 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_11 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_179 GTISSTVRLQ
12694_2012_nsp6_VIPR_ALG4_701216743_12576_12905_1_2012_05_China_Human_Betacoronavirus_17 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_128 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_130 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_131 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_129 GTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 GTISSTVRLQ
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_13 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_135 GTISSTVRLQ
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_10 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_137 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_15 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_12 GTISSTVRLQ
10290_2010_nsp6_VIPR_ALG4_701216883_12576_12905_1_2010_07_China_Human_Betacoronavirus_13 GTISSTVRLQ
10574_2010_nsp6_VIPR_ALG4_701216890_12576_12905_1_2010_09_China_Human_Betacoronavirus_15 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_142 GTISSTVRLQ
1783A_10_nsp6_VIPR_ALG4_744516694_12576_12905_1_2010_01_China_Human_Betacoronavirus_17 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_144 GTISSTVRLQ
10108_2010_nsp6_VIPR_ALG4_701216841_12576_12905_1_2010_05_China_Human_Betacoronavirus_145 GTISSTVRLQ
**********
>IWT_15_nsp6_VIPR_ALG4_BBM61064_1_12549_12878_1_2016_01_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGACTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >BJ232_nsp6_VIPR_ALG4_AQT26494_1_12510_12839_1_2014_China_Dog_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U732_12_nsp6_VIPR_ALG4_AQN78709_1_12576_12905_1_2012_06_25_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCATACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_12_nsp6_VIPR_ALG4_BBM61324_1_12552_12881_1_2008_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >DcCoV_HKU23_camel_Nigeria_NV1092_2015_nsp6_VIPR_ALG4_QEY10646_1_12575_12904_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 AATAATGAATTAATGCCTGTTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAACAATAGTAACAATGGAAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTCTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAACAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MDS2_nsp6_VIPR_ALG4_QBP84710_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAACAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp6_VIPR_ALG4_ARC95200_1_12538_12867_1_2015_09_15_USA_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAATAATGGTAAGATTGTTTATGCTATACTTAGTGACGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_7_nsp6_VIPR_ALG4_BBM61384_1_12550_12879_1_2008_01_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCCCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5352_2007_nsp6_VIPR_ALG4_701216673_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5479_2007_nsp6_VIPR_ALG4_701216792_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5566_2007_nsp6_VIPR_ALG4_701216834_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGTAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >892A_2008_nsp6_VIPR_ALG4_701216876_12576_12905_1_2008_10_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >BCoV_LUN_nsp6_VIPR_ALG4_18033972_12577_12906_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp6_VIPR_ALG4_QEY10622_1_12569_12898_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGAAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >E_AH65_TC_nsp6_VIPR_ALG4_145208907_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC0839_2019_nsp6_VIPR_ALG4_QEG03763_1_12573_12902_1_2019_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGTAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC2730_2015_nsp6_VIPR_ALG4_ARK08657_1_12544_12873_1_2015_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGTAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC2854_2015_nsp6_VIPR_ALG4_ARU07583_1_12542_12871_1_2015_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGTAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC9430_2018_nsp6_VIPR_ALG4_QEG03790_1_12667_12996_1_2019_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGTAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2007_09_nsp6_VIPR_ALG4_ATP16764_1_12547_12876_1_2007_France_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_10_nsp6_VIPR_ALG4_BBM60934_1_12553_12882_1_2012_05_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_14_nsp6_VIPR_ALG4_BBM61054_1_12538_12867_1_2015_11_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_2_nsp6_VIPR_ALG4_BBM60954_1_12553_12882_1_2010_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_24_nsp6_VIPR_ALG4_BBM61154_1_12553_12882_1_2017_01_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_26_nsp6_VIPR_ALG4_BBM61174_1_12549_12878_1_2017_02_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_5_nsp6_VIPR_ALG4_BBM60984_1_12553_12882_1_2011_11_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MDS14_nsp6_VIPR_ALG4_QBP84746_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MDS4_nsp6_VIPR_ALG4_QBP84719_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U1057_12_nsp6_VIPR_ALG4_AQN78749_1_12576_12905_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U413_12_nsp6_VIPR_ALG4_AQN78677_1_12576_12905_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U774_12_nsp6_VIPR_ALG4_AQN78717_1_12576_12905_1_2012_07_04_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U868_12_nsp6_VIPR_ALG4_AQN78725_1_12576_12905_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >N07_1609B_nsp6_VIPR_ALG4_ARB07411_1_12557_12886_1_2016_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGATTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGCTGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_871_25_1987_nsp6_VIPR_ALG4_530802434_12549_12878_1_1987_01_22_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_873_19_1987_nsp6_VIPR_ALG4_530802412_12557_12886_1_1987_03_17_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_912_10_1991_nsp6_VIPR_ALG4_530802237_12570_12899_1_1991_02_07_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_913_29_1991_nsp6_VIPR_ALG4_530802368_12557_12886_1_1991_03_14_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2151A_2010_nsp6_VIPR_ALG4_701216666_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_953_23_1995_nsp6_VIPR_ALG4_530802325_12557_12886_1_1995_03_09_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >Obihiro12_1_nsp6_VIPR_ALG4_914047562_12680_13009_1_2012_Japan_Horse_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACCCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAACAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAGTGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTCGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >SHG_2_nsp6_VIPR_ALG4_BBM61204_1_12546_12875_1_2014_09_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_11_nsp6_VIPR_ALG4_BBM61314_1_12547_12876_1_2008_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_21_nsp6_VIPR_ALG4_BBM61454_1_12541_12870_1_2016_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_24_nsp6_VIPR_ALG4_BBM61484_1_12545_12874_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_28_nsp6_VIPR_ALG4_BBM61524_1_12548_12877_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_9_nsp6_VIPR_ALG4_BBM61424_1_12538_12867_1_2008_03_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGACTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >3194A_2012_nsp6_VIPR_ALG4_701216757_12576_12905_1_2012_03_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >US_OH3_2003_nsp6_VIPR_ALG4_145208987_12561_12890_1_NA_USA_Giraffe_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC0776_2019_nsp6_VIPR_ALG4_QEG03810_1_12538_12867_1_2019_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGTAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_8_nsp6_VIPR_ALG4_BBM61014_1_12546_12875_1_2012_01_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTTACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGACTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MDS12_nsp6_VIPR_ALG4_QBP84737_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC0841_2019_nsp6_VIPR_ALG4_QEG03773_1_12574_12903_1_2019_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAGGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MDS16_nsp6_VIPR_ALG4_QBQ01836_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2058A_10_nsp6_VIPR_ALG4_744516684_12576_12905_1_2010_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5595_2007_nsp6_VIPR_ALG4_701216848_12576_12905_1_2007_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U1024_12_nsp6_VIPR_ALG4_AQN78741_1_12576_12905_1_2012_08_24_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HCoV_OC43_Seattle_USA_SC2924_2015_nsp6_VIPR_ALG4_ARK08632_1_12538_12867_1_2015_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U1140_12_nsp6_VIPR_ALG4_AQN78757_1_12576_12905_1_2012_09_10_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >MY_U1758_13_nsp6_VIPR_ALG4_AQN78765_1_12576_12905_1_2013_01_02_Malaysia_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA
>IWT_15_nsp6_VIPR_ALG4_BBM61064_1_12549_12878_1_2016_01_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >BJ232_nsp6_VIPR_ALG4_AQT26494_1_12510_12839_1_2014_China_Dog_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U732_12_nsp6_VIPR_ALG4_AQN78709_1_12576_12905_1_2012_06_25_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDHTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_12_nsp6_VIPR_ALG4_BBM61324_1_12552_12881_1_2008_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >DcCoV_HKU23_camel_Nigeria_NV1092_2015_nsp6_VIPR_ALG4_QEY10646_1_12575_12904_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 NNELMPVKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MDS2_nsp6_VIPR_ALG4_QBP84710_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp6_VIPR_ALG4_ARC95200_1_12538_12867_1_2015_09_15_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_7_nsp6_VIPR_ALG4_BBM61384_1_12550_12879_1_2008_01_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5352_2007_nsp6_VIPR_ALG4_701216673_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5479_2007_nsp6_VIPR_ALG4_701216792_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5566_2007_nsp6_VIPR_ALG4_701216834_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >892A_2008_nsp6_VIPR_ALG4_701216876_12576_12905_1_2008_10_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >BCoV_LUN_nsp6_VIPR_ALG4_18033972_12577_12906_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp6_VIPR_ALG4_QEY10622_1_12569_12898_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >E_AH65_TC_nsp6_VIPR_ALG4_145208907_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC0839_2019_nsp6_VIPR_ALG4_QEG03763_1_12573_12902_1_2019_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC2730_2015_nsp6_VIPR_ALG4_ARK08657_1_12544_12873_1_2015_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC2854_2015_nsp6_VIPR_ALG4_ARU07583_1_12542_12871_1_2015_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC9430_2018_nsp6_VIPR_ALG4_QEG03790_1_12667_12996_1_2019_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >2007_09_nsp6_VIPR_ALG4_ATP16764_1_12547_12876_1_2007_France_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_10_nsp6_VIPR_ALG4_BBM60934_1_12553_12882_1_2012_05_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_14_nsp6_VIPR_ALG4_BBM61054_1_12538_12867_1_2015_11_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_2_nsp6_VIPR_ALG4_BBM60954_1_12553_12882_1_2010_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_24_nsp6_VIPR_ALG4_BBM61154_1_12553_12882_1_2017_01_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_26_nsp6_VIPR_ALG4_BBM61174_1_12549_12878_1_2017_02_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_5_nsp6_VIPR_ALG4_BBM60984_1_12553_12882_1_2011_11_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MDS14_nsp6_VIPR_ALG4_QBP84746_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MDS4_nsp6_VIPR_ALG4_QBP84719_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U1057_12_nsp6_VIPR_ALG4_AQN78749_1_12576_12905_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U413_12_nsp6_VIPR_ALG4_AQN78677_1_12576_12905_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U774_12_nsp6_VIPR_ALG4_AQN78717_1_12576_12905_1_2012_07_04_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U868_12_nsp6_VIPR_ALG4_AQN78725_1_12576_12905_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >N07_1609B_nsp6_VIPR_ALG4_ARB07411_1_12557_12886_1_2016_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQICNTPTQCYYNNSNNGKIVYAILSDVAGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_871_25_1987_nsp6_VIPR_ALG4_530802434_12549_12878_1_1987_01_22_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_873_19_1987_nsp6_VIPR_ALG4_530802412_12557_12886_1_1987_03_17_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_912_10_1991_nsp6_VIPR_ALG4_530802237_12570_12899_1_1991_02_07_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_913_29_1991_nsp6_VIPR_ALG4_530802368_12557_12886_1_1991_03_14_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >2151A_2010_nsp6_VIPR_ALG4_701216666_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >OC43_human_USA_953_23_1995_nsp6_VIPR_ALG4_530802325_12557_12886_1_1995_03_09_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >Obihiro12_1_nsp6_VIPR_ALG4_914047562_12680_13009_1_2012_Japan_Horse_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >SHG_2_nsp6_VIPR_ALG4_BBM61204_1_12546_12875_1_2014_09_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_11_nsp6_VIPR_ALG4_BBM61314_1_12547_12876_1_2008_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_21_nsp6_VIPR_ALG4_BBM61454_1_12541_12870_1_2016_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_24_nsp6_VIPR_ALG4_BBM61484_1_12545_12874_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_28_nsp6_VIPR_ALG4_BBM61524_1_12548_12877_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TCG_9_nsp6_VIPR_ALG4_BBM61424_1_12538_12867_1_2008_03_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >3194A_2012_nsp6_VIPR_ALG4_701216757_12576_12905_1_2012_03_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >US_OH3_2003_nsp6_VIPR_ALG4_145208987_12561_12890_1_NA_USA_Giraffe_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC0776_2019_nsp6_VIPR_ALG4_QEG03810_1_12538_12867_1_2019_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_8_nsp6_VIPR_ALG4_BBM61014_1_12546_12875_1_2012_01_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSYNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MDS12_nsp6_VIPR_ALG4_QBP84737_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC0841_2019_nsp6_VIPR_ALG4_QEG03773_1_12574_12903_1_2019_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MDS16_nsp6_VIPR_ALG4_QBQ01836_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >2058A_10_nsp6_VIPR_ALG4_744516684_12576_12905_1_2010_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >5595_2007_nsp6_VIPR_ALG4_701216848_12576_12905_1_2007_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U1024_12_nsp6_VIPR_ALG4_AQN78741_1_12576_12905_1_2012_08_24_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >HCoV_OC43_Seattle_USA_SC2924_2015_nsp6_VIPR_ALG4_ARK08632_1_12538_12867_1_2015_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U1140_12_nsp6_VIPR_ALG4_AQN78757_1_12576_12905_1_2012_09_10_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ >MY_U1758_13_nsp6_VIPR_ALG4_AQN78765_1_12576_12905_1_2013_01_02_Malaysia_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLK YTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVV GTISSTVRLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 90 sequences of length 330
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.1%
Found 15 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 4
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 19 polymorphic sites
**p-Value(s)**
----------
NSS: 8.61e-01 (1000 permutations)
Max Chi^2: 8.43e-01 (1000 permutations)
PHI (Permutation): 5.25e-01 (1000 permutations)
PHI (Normal): 4.20e-01
#NEXUS
[ID: 8333767097]
begin taxa;
dimensions ntax=90;
taxlabels
IWT_15_nsp6_VIPR_ALG4_BBM61064_1_12549_12878_1_2016_01_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1
TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1
5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1092_2015_nsp6_VIPR_ALG4_QEY10646_1_12575_12904_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1
HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1
MDS2_nsp6_VIPR_ALG4_QBP84710_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1
NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1
OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp6_VIPR_ALG4_ARC95200_1_12538_12867_1_2015_09_15_USA_Swine_Betacoronavirus_1
TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1
BJ232_nsp6_VIPR_ALG4_AQT26494_1_12510_12839_1_2014_China_Dog_Betacoronavirus_1
TCG_7_nsp6_VIPR_ALG4_BBM61384_1_12550_12879_1_2008_01_Japan_Unknown_Betacoronavirus_1
UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1
5352_2007_nsp6_VIPR_ALG4_701216673_12576_12905_1_2007_05_China_Human_Betacoronavirus_1
5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1
5479_2007_nsp6_VIPR_ALG4_701216792_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
5566_2007_nsp6_VIPR_ALG4_701216834_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1
892A_2008_nsp6_VIPR_ALG4_701216876_12576_12905_1_2008_10_China_Human_Betacoronavirus_1
BCoV_LUN_nsp6_VIPR_ALG4_18033972_12577_12906_1_NA_NA_Unknown_Betacoronavirus_1
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp6_VIPR_ALG4_QEY10622_1_12569_12898_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1
TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1
2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1
E_AH65_TC_nsp6_VIPR_ALG4_145208907_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0839_2019_nsp6_VIPR_ALG4_QEG03763_1_12573_12902_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2730_2015_nsp6_VIPR_ALG4_ARK08657_1_12544_12873_1_2015_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2854_2015_nsp6_VIPR_ALG4_ARU07583_1_12542_12871_1_2015_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC9430_2018_nsp6_VIPR_ALG4_QEG03790_1_12667_12996_1_2019_USA_Human_Betacoronavirus_1
2007_09_nsp6_VIPR_ALG4_ATP16764_1_12547_12876_1_2007_France_Human_Betacoronavirus_1
IWT_10_nsp6_VIPR_ALG4_BBM60934_1_12553_12882_1_2012_05_Japan_Unknown_Betacoronavirus_1
IWT_14_nsp6_VIPR_ALG4_BBM61054_1_12538_12867_1_2015_11_Japan_Unknown_Betacoronavirus_1
IWT_2_nsp6_VIPR_ALG4_BBM60954_1_12553_12882_1_2010_12_Japan_Unknown_Betacoronavirus_1
MY_U732_12_nsp6_VIPR_ALG4_AQN78709_1_12576_12905_1_2012_06_25_Malaysia_Human_Betacoronavirus_1
IWT_24_nsp6_VIPR_ALG4_BBM61154_1_12553_12882_1_2017_01_Japan_Unknown_Betacoronavirus_1
IWT_26_nsp6_VIPR_ALG4_BBM61174_1_12549_12878_1_2017_02_Japan_Unknown_Betacoronavirus_1
IWT_5_nsp6_VIPR_ALG4_BBM60984_1_12553_12882_1_2011_11_Japan_Unknown_Betacoronavirus_1
MDS14_nsp6_VIPR_ALG4_QBP84746_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1
MDS4_nsp6_VIPR_ALG4_QBP84719_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1
MY_U1057_12_nsp6_VIPR_ALG4_AQN78749_1_12576_12905_1_2012_08_27_Malaysia_Human_Betacoronavirus_1
MY_U413_12_nsp6_VIPR_ALG4_AQN78677_1_12576_12905_1_2012_05_02_Malaysia_Human_Betacoronavirus_1
MY_U774_12_nsp6_VIPR_ALG4_AQN78717_1_12576_12905_1_2012_07_04_Malaysia_Human_Betacoronavirus_1
MY_U868_12_nsp6_VIPR_ALG4_AQN78725_1_12576_12905_1_2012_07_16_Malaysia_Human_Betacoronavirus_1
N07_1609B_nsp6_VIPR_ALG4_ARB07411_1_12557_12886_1_2016_USA_Human_Betacoronavirus_1
2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1
OC43_human_USA_871_25_1987_nsp6_VIPR_ALG4_530802434_12549_12878_1_1987_01_22_USA_Human_Betacoronavirus_1
OC43_human_USA_873_19_1987_nsp6_VIPR_ALG4_530802412_12557_12886_1_1987_03_17_USA_Human_Betacoronavirus_1
OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1
OC43_human_USA_912_10_1991_nsp6_VIPR_ALG4_530802237_12570_12899_1_1991_02_07_USA_Human_Betacoronavirus_1
OC43_human_USA_913_29_1991_nsp6_VIPR_ALG4_530802368_12557_12886_1_1991_03_14_USA_Human_Betacoronavirus_1
2151A_2010_nsp6_VIPR_ALG4_701216666_12576_12905_1_2010_07_China_Human_Betacoronavirus_1
OC43_human_USA_953_23_1995_nsp6_VIPR_ALG4_530802325_12557_12886_1_1995_03_09_USA_Human_Betacoronavirus_1
Obihiro12_1_nsp6_VIPR_ALG4_914047562_12680_13009_1_2012_Japan_Horse_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1
IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1
R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1
SHG_2_nsp6_VIPR_ALG4_BBM61204_1_12546_12875_1_2014_09_Japan_Unknown_Betacoronavirus_1
SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1
TCG_11_nsp6_VIPR_ALG4_BBM61314_1_12547_12876_1_2008_12_Japan_Unknown_Betacoronavirus_1
TCG_21_nsp6_VIPR_ALG4_BBM61454_1_12541_12870_1_2016_12_Japan_Unknown_Betacoronavirus_1
TCG_24_nsp6_VIPR_ALG4_BBM61484_1_12545_12874_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_28_nsp6_VIPR_ALG4_BBM61524_1_12548_12877_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_9_nsp6_VIPR_ALG4_BBM61424_1_12538_12867_1_2008_03_Japan_Unknown_Betacoronavirus_1
TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1
TCG_12_nsp6_VIPR_ALG4_BBM61324_1_12552_12881_1_2008_12_Japan_Unknown_Betacoronavirus_1
TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1
3194A_2012_nsp6_VIPR_ALG4_701216757_12576_12905_1_2012_03_China_Human_Betacoronavirus_1
US_OH3_2003_nsp6_VIPR_ALG4_145208987_12561_12890_1_NA_USA_Giraffe_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0776_2019_nsp6_VIPR_ALG4_QEG03810_1_12538_12867_1_2019_USA_Human_Betacoronavirus_1
IWT_8_nsp6_VIPR_ALG4_BBM61014_1_12546_12875_1_2012_01_Japan_Unknown_Betacoronavirus_1
JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1
Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1
IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1
3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1
5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1
MDS12_nsp6_VIPR_ALG4_QBP84737_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0841_2019_nsp6_VIPR_ALG4_QEG03773_1_12574_12903_1_2019_USA_Human_Betacoronavirus_1
MDS16_nsp6_VIPR_ALG4_QBQ01836_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1
2058A_10_nsp6_VIPR_ALG4_744516684_12576_12905_1_2010_06_China_Human_Betacoronavirus_1
5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1
5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
5595_2007_nsp6_VIPR_ALG4_701216848_12576_12905_1_2007_07_China_Human_Betacoronavirus_1
MY_U1024_12_nsp6_VIPR_ALG4_AQN78741_1_12576_12905_1_2012_08_24_Malaysia_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2924_2015_nsp6_VIPR_ALG4_ARK08632_1_12538_12867_1_2015_USA_Human_Betacoronavirus_1
MY_U1140_12_nsp6_VIPR_ALG4_AQN78757_1_12576_12905_1_2012_09_10_Malaysia_Human_Betacoronavirus_1
12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1
MY_U1758_13_nsp6_VIPR_ALG4_AQN78765_1_12576_12905_1_2013_01_02_Malaysia_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 IWT_15_nsp6_VIPR_ALG4_BBM61064_1_12549_12878_1_2016_01_Japan_Unknown_Betacoronavirus_1,
2 OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1,
3 TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1,
4 5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
5 DcCoV_HKU23_camel_Nigeria_NV1092_2015_nsp6_VIPR_ALG4_QEY10646_1_12575_12904_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1,
6 HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1,
7 MDS2_nsp6_VIPR_ALG4_QBP84710_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1,
8 NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1,
9 OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1,
10 PHEV_CoV_swine_USA_15TOSU25049_2015_nsp6_VIPR_ALG4_ARC95200_1_12538_12867_1_2015_09_15_USA_Swine_Betacoronavirus_1,
11 TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1,
12 BJ232_nsp6_VIPR_ALG4_AQT26494_1_12510_12839_1_2014_China_Dog_Betacoronavirus_1,
13 TCG_7_nsp6_VIPR_ALG4_BBM61384_1_12550_12879_1_2008_01_Japan_Unknown_Betacoronavirus_1,
14 UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1,
15 5352_2007_nsp6_VIPR_ALG4_701216673_12576_12905_1_2007_05_China_Human_Betacoronavirus_1,
16 5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1,
17 5479_2007_nsp6_VIPR_ALG4_701216792_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
18 5566_2007_nsp6_VIPR_ALG4_701216834_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
19 8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1,
20 892A_2008_nsp6_VIPR_ALG4_701216876_12576_12905_1_2008_10_China_Human_Betacoronavirus_1,
21 BCoV_LUN_nsp6_VIPR_ALG4_18033972_12577_12906_1_NA_NA_Unknown_Betacoronavirus_1,
22 DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp6_VIPR_ALG4_QEY10622_1_12569_12898_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1,
23 TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1,
24 2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1,
25 E_AH65_TC_nsp6_VIPR_ALG4_145208907_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1,
26 HCoV_OC43_Seattle_USA_SC0839_2019_nsp6_VIPR_ALG4_QEG03763_1_12573_12902_1_2019_USA_Human_Betacoronavirus_1,
27 HCoV_OC43_Seattle_USA_SC2730_2015_nsp6_VIPR_ALG4_ARK08657_1_12544_12873_1_2015_USA_Human_Betacoronavirus_1,
28 HCoV_OC43_Seattle_USA_SC2854_2015_nsp6_VIPR_ALG4_ARU07583_1_12542_12871_1_2015_USA_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC9430_2018_nsp6_VIPR_ALG4_QEG03790_1_12667_12996_1_2019_USA_Human_Betacoronavirus_1,
30 2007_09_nsp6_VIPR_ALG4_ATP16764_1_12547_12876_1_2007_France_Human_Betacoronavirus_1,
31 IWT_10_nsp6_VIPR_ALG4_BBM60934_1_12553_12882_1_2012_05_Japan_Unknown_Betacoronavirus_1,
32 IWT_14_nsp6_VIPR_ALG4_BBM61054_1_12538_12867_1_2015_11_Japan_Unknown_Betacoronavirus_1,
33 IWT_2_nsp6_VIPR_ALG4_BBM60954_1_12553_12882_1_2010_12_Japan_Unknown_Betacoronavirus_1,
34 MY_U732_12_nsp6_VIPR_ALG4_AQN78709_1_12576_12905_1_2012_06_25_Malaysia_Human_Betacoronavirus_1,
35 IWT_24_nsp6_VIPR_ALG4_BBM61154_1_12553_12882_1_2017_01_Japan_Unknown_Betacoronavirus_1,
36 IWT_26_nsp6_VIPR_ALG4_BBM61174_1_12549_12878_1_2017_02_Japan_Unknown_Betacoronavirus_1,
37 IWT_5_nsp6_VIPR_ALG4_BBM60984_1_12553_12882_1_2011_11_Japan_Unknown_Betacoronavirus_1,
38 MDS14_nsp6_VIPR_ALG4_QBP84746_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1,
39 MDS4_nsp6_VIPR_ALG4_QBP84719_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1,
40 MY_U1057_12_nsp6_VIPR_ALG4_AQN78749_1_12576_12905_1_2012_08_27_Malaysia_Human_Betacoronavirus_1,
41 MY_U413_12_nsp6_VIPR_ALG4_AQN78677_1_12576_12905_1_2012_05_02_Malaysia_Human_Betacoronavirus_1,
42 MY_U774_12_nsp6_VIPR_ALG4_AQN78717_1_12576_12905_1_2012_07_04_Malaysia_Human_Betacoronavirus_1,
43 MY_U868_12_nsp6_VIPR_ALG4_AQN78725_1_12576_12905_1_2012_07_16_Malaysia_Human_Betacoronavirus_1,
44 N07_1609B_nsp6_VIPR_ALG4_ARB07411_1_12557_12886_1_2016_USA_Human_Betacoronavirus_1,
45 2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1,
46 OC43_human_USA_871_25_1987_nsp6_VIPR_ALG4_530802434_12549_12878_1_1987_01_22_USA_Human_Betacoronavirus_1,
47 OC43_human_USA_873_19_1987_nsp6_VIPR_ALG4_530802412_12557_12886_1_1987_03_17_USA_Human_Betacoronavirus_1,
48 OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1,
49 OC43_human_USA_912_10_1991_nsp6_VIPR_ALG4_530802237_12570_12899_1_1991_02_07_USA_Human_Betacoronavirus_1,
50 OC43_human_USA_913_29_1991_nsp6_VIPR_ALG4_530802368_12557_12886_1_1991_03_14_USA_Human_Betacoronavirus_1,
51 2151A_2010_nsp6_VIPR_ALG4_701216666_12576_12905_1_2010_07_China_Human_Betacoronavirus_1,
52 OC43_human_USA_953_23_1995_nsp6_VIPR_ALG4_530802325_12557_12886_1_1995_03_09_USA_Human_Betacoronavirus_1,
53 Obihiro12_1_nsp6_VIPR_ALG4_914047562_12680_13009_1_2012_Japan_Horse_Betacoronavirus_1,
54 PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1,
55 PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1,
56 IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1,
57 R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1,
58 SHG_2_nsp6_VIPR_ALG4_BBM61204_1_12546_12875_1_2014_09_Japan_Unknown_Betacoronavirus_1,
59 SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1,
60 TCG_11_nsp6_VIPR_ALG4_BBM61314_1_12547_12876_1_2008_12_Japan_Unknown_Betacoronavirus_1,
61 TCG_21_nsp6_VIPR_ALG4_BBM61454_1_12541_12870_1_2016_12_Japan_Unknown_Betacoronavirus_1,
62 TCG_24_nsp6_VIPR_ALG4_BBM61484_1_12545_12874_1_2017_12_Japan_Unknown_Betacoronavirus_1,
63 TCG_28_nsp6_VIPR_ALG4_BBM61524_1_12548_12877_1_2017_12_Japan_Unknown_Betacoronavirus_1,
64 TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1,
65 TCG_9_nsp6_VIPR_ALG4_BBM61424_1_12538_12867_1_2008_03_Japan_Unknown_Betacoronavirus_1,
66 TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1,
67 TCG_12_nsp6_VIPR_ALG4_BBM61324_1_12552_12881_1_2008_12_Japan_Unknown_Betacoronavirus_1,
68 TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1,
69 3194A_2012_nsp6_VIPR_ALG4_701216757_12576_12905_1_2012_03_China_Human_Betacoronavirus_1,
70 US_OH3_2003_nsp6_VIPR_ALG4_145208987_12561_12890_1_NA_USA_Giraffe_Betacoronavirus_1,
71 HCoV_OC43_Seattle_USA_SC0776_2019_nsp6_VIPR_ALG4_QEG03810_1_12538_12867_1_2019_USA_Human_Betacoronavirus_1,
72 IWT_8_nsp6_VIPR_ALG4_BBM61014_1_12546_12875_1_2012_01_Japan_Unknown_Betacoronavirus_1,
73 JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1,
74 Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1,
75 IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1,
76 3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1,
77 5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
78 10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1,
79 MDS12_nsp6_VIPR_ALG4_QBP84737_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1,
80 HCoV_OC43_Seattle_USA_SC0841_2019_nsp6_VIPR_ALG4_QEG03773_1_12574_12903_1_2019_USA_Human_Betacoronavirus_1,
81 MDS16_nsp6_VIPR_ALG4_QBQ01836_1_12556_12885_1_NA_NA_Unknown_Betacoronavirus_1,
82 2058A_10_nsp6_VIPR_ALG4_744516684_12576_12905_1_2010_06_China_Human_Betacoronavirus_1,
83 5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1,
84 5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
85 5595_2007_nsp6_VIPR_ALG4_701216848_12576_12905_1_2007_07_China_Human_Betacoronavirus_1,
86 MY_U1024_12_nsp6_VIPR_ALG4_AQN78741_1_12576_12905_1_2012_08_24_Malaysia_Human_Betacoronavirus_1,
87 HCoV_OC43_Seattle_USA_SC2924_2015_nsp6_VIPR_ALG4_ARK08632_1_12538_12867_1_2015_USA_Human_Betacoronavirus_1,
88 MY_U1140_12_nsp6_VIPR_ALG4_AQN78757_1_12576_12905_1_2012_09_10_Malaysia_Human_Betacoronavirus_1,
89 12691_2012_nsp6_VIPR_ALG4_701216736_12576_12905_1_2012_05_China_Human_Betacoronavirus_1,
90 MY_U1758_13_nsp6_VIPR_ALG4_AQN78765_1_12576_12905_1_2013_01_02_Malaysia_Human_Betacoronavirus_1
;
[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 = (1:4.444667e-04,65:4.113855e-04,75:4.751994e-04,((((2:4.373043e-04,4:4.401813e-04,7:4.144639e-04,9:4.508456e-04,15:4.077334e-04,16:4.441096e-04,17:4.611473e-04,18:1.137884e-03,19:4.281568e-04,20:4.639891e-04,24:4.574516e-04,(26:4.195775e-04,27:4.598360e-04,28:4.260335e-04,29:4.101963e-04,71:4.176101e-04)0.944:1.027422e-03,30:4.517216e-04,34:4.306777e-04,38:4.395616e-04,39:1.107165e-03,40:4.527890e-04,41:5.013252e-04,42:4.447024e-04,43:4.346056e-04,44:1.742250e-03,45:1.061568e-03,46:1.083360e-03,47:4.267009e-04,48:4.576736e-04,49:4.476628e-04,50:4.421150e-04,51:4.485168e-04,52:4.413317e-04,66:4.473060e-04,68:4.279120e-04,69:4.742045e-04,76:4.299540e-04,77:4.678086e-04,78:4.178919e-04,79:4.496483e-04,80:1.117899e-03,81:4.203131e-04,82:4.702273e-04,83:4.455698e-04,84:4.389389e-04,85:4.485889e-04,86:3.988007e-04,87:4.701400e-04,88:4.674248e-04,89:4.421838e-04,90:4.507507e-04)0.994:1.780754e-03,((5:2.095557e-03,22:6.838804e-04)0.979:1.454544e-03,(6:7.945369e-04,14:5.711437e-04)0.635:9.253856e-04)1.000:1.791490e-03,(8:4.247142e-04,53:1.040578e-03)0.780:9.791293e-04,((10:2.277557e-03,54:1.104338e-03,73:4.393924e-04)0.861:1.006314e-03,55:1.135206e-03)1.000:1.818533e-03,12:4.660247e-04,74:1.046536e-03)0.987:1.627377e-03,32:5.847255e-04)0.725:1.062523e-03,3:4.381821e-04,(((11:4.293823e-04,23:4.452115e-04,35:4.206664e-04,36:4.878862e-04,61:4.681170e-04,62:4.479527e-04,63:4.290261e-04,64:4.546129e-04)0.923:1.089860e-03,58:4.814558e-04,72:4.491966e-04)0.937:1.110173e-03,70:4.824154e-04)0.937:1.162009e-03,13:1.088664e-03,21:4.247368e-04,25:4.312604e-04,31:4.400510e-04,33:4.270434e-04,37:4.291649e-04,56:4.324270e-04,57:4.521711e-04,59:4.232828e-04,60:4.129159e-04,67:4.105067e-04)0.996:1.024562e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:4.444667e-04,65:4.113855e-04,75:4.751994e-04,((((2:4.373043e-04,4:4.401813e-04,7:4.144639e-04,9:4.508456e-04,15:4.077334e-04,16:4.441096e-04,17:4.611473e-04,18:1.137884e-03,19:4.281568e-04,20:4.639891e-04,24:4.574516e-04,(26:4.195775e-04,27:4.598360e-04,28:4.260335e-04,29:4.101963e-04,71:4.176101e-04):1.027422e-03,30:4.517216e-04,34:4.306777e-04,38:4.395616e-04,39:1.107165e-03,40:4.527890e-04,41:5.013252e-04,42:4.447024e-04,43:4.346056e-04,44:1.742250e-03,45:1.061568e-03,46:1.083360e-03,47:4.267009e-04,48:4.576736e-04,49:4.476628e-04,50:4.421150e-04,51:4.485168e-04,52:4.413317e-04,66:4.473060e-04,68:4.279120e-04,69:4.742045e-04,76:4.299540e-04,77:4.678086e-04,78:4.178919e-04,79:4.496483e-04,80:1.117899e-03,81:4.203131e-04,82:4.702273e-04,83:4.455698e-04,84:4.389389e-04,85:4.485889e-04,86:3.988007e-04,87:4.701400e-04,88:4.674248e-04,89:4.421838e-04,90:4.507507e-04):1.780754e-03,((5:2.095557e-03,22:6.838804e-04):1.454544e-03,(6:7.945369e-04,14:5.711437e-04):9.253856e-04):1.791490e-03,(8:4.247142e-04,53:1.040578e-03):9.791293e-04,((10:2.277557e-03,54:1.104338e-03,73:4.393924e-04):1.006314e-03,55:1.135206e-03):1.818533e-03,12:4.660247e-04,74:1.046536e-03):1.627377e-03,32:5.847255e-04):1.062523e-03,3:4.381821e-04,(((11:4.293823e-04,23:4.452115e-04,35:4.206664e-04,36:4.878862e-04,61:4.681170e-04,62:4.479527e-04,63:4.290261e-04,64:4.546129e-04):1.089860e-03,58:4.814558e-04,72:4.491966e-04):1.110173e-03,70:4.824154e-04):1.162009e-03,13:1.088664e-03,21:4.247368e-04,25:4.312604e-04,31:4.400510e-04,33:4.270434e-04,37:4.291649e-04,56:4.324270e-04,57:4.521711e-04,59:4.232828e-04,60:4.129159e-04,67:4.105067e-04):1.024562e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -589.54 -605.15
2 -589.93 -606.17
--------------------------------------
TOTAL -589.71 -605.79
--------------------------------------
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} 0.078476 0.000589 0.037946 0.129316 0.074769 845.70 847.84 1.000
r(A<->C){all} 0.088002 0.003670 0.000601 0.202319 0.074698 176.78 230.83 1.004
r(A<->G){all} 0.210242 0.006594 0.057109 0.363295 0.199846 151.83 170.07 1.000
r(A<->T){all} 0.054851 0.001091 0.003111 0.115342 0.048935 265.36 273.80 1.000
r(C<->G){all} 0.068074 0.004021 0.000026 0.194790 0.049080 84.96 113.01 1.003
r(C<->T){all} 0.518761 0.010180 0.332527 0.717673 0.518872 137.30 150.51 1.001
r(G<->T){all} 0.060070 0.001955 0.000299 0.148668 0.048964 195.56 269.88 1.002
pi(A){all} 0.320324 0.000608 0.271798 0.368666 0.320245 837.93 893.46 1.000
pi(C){all} 0.134634 0.000318 0.100301 0.169285 0.133864 713.77 855.71 1.000
pi(G){all} 0.190718 0.000442 0.152745 0.234339 0.189361 688.72 750.68 1.000
pi(T){all} 0.354324 0.000656 0.306813 0.407215 0.353881 590.46 734.17 1.000
alpha{1,2} 0.553555 0.514096 0.000470 2.084553 0.279106 595.14 638.07 1.000
alpha{3} 1.365435 1.232903 0.002734 3.556780 1.099491 720.22 836.76 1.000
pinvar{all} 0.484314 0.051695 0.027943 0.824818 0.519032 302.86 309.64 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: `(C109,C259,C129,((((C192,C37,C138,C191,C31,C34,C38,C44,C49,C51,C13,(C79,C84,C86,C90,C77),C14,C153,C136,C139,C143,C149,C154,C156,C160,C16,C171,C174,C178,C184,C189,C17,C195,C261,C265,C21,C22,C43,C2,C135,C80,C137,C15,C32,C33,C45,C142,C87,C144,C6,C145),((C69,C66),(C101,C276)),(C165,C206),((C217,C209,C130),C213),C57,C131),C108),C256,(((C240,C252,C119,C121,C241,C244,C248,C254),C224,C128),C279),C258,C55,C73,C104,C114,C125,C126,C219,C226,C230,C232))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **110** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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) = -687.92, AIC-c = 1600.69 (112 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.113 ### 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 = 0.286 * 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
