--- 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 -508.35 -531.69
2 -508.08 -525.92
--------------------------------------
TOTAL -508.20 -531.00
--------------------------------------
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} 0.092590 0.000687 0.047170 0.144311 0.088900 957.53 1097.06 1.000
r(A<->C){all} 0.045888 0.001760 0.000034 0.131895 0.034063 227.99 277.12 1.003
r(A<->G){all} 0.229276 0.008145 0.079351 0.417785 0.222075 144.23 162.31 1.020
r(A<->T){all} 0.025033 0.000535 0.000001 0.072533 0.018439 330.80 345.05 1.002
r(C<->G){all} 0.052183 0.002486 0.000057 0.154903 0.037670 119.42 157.28 1.000
r(C<->T){all} 0.496660 0.010543 0.303939 0.698713 0.496124 157.98 203.58 1.016
r(G<->T){all} 0.150960 0.004221 0.035035 0.271394 0.141802 153.18 239.17 1.000
pi(A){all} 0.249317 0.000675 0.199352 0.300352 0.248996 970.40 1032.22 1.000
pi(C){all} 0.169709 0.000496 0.124062 0.211144 0.168874 995.31 1015.44 1.000
pi(G){all} 0.214737 0.000603 0.165392 0.260688 0.214759 814.99 966.88 1.000
pi(T){all} 0.366237 0.000833 0.308105 0.420555 0.365867 841.46 943.00 1.000
alpha{1,2} 0.696756 0.699799 0.000909 2.381770 0.381485 587.18 701.98 1.000
alpha{3} 1.305145 1.157877 0.000146 3.363833 1.022485 705.12 861.01 1.000
pinvar{all} 0.433981 0.047284 0.009650 0.765273 0.452479 362.63 367.44 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Fri Nov 18 14:40:18 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:58:02 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:40:18 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 03:40:59 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/fubar,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_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 267 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C19
Taxon 2 -> C212
Taxon 3 -> C5
Taxon 4 -> C59
Taxon 5 -> C91
Taxon 6 -> C4
Taxon 7 -> C160
Taxon 8 -> C187
Taxon 9 -> C213
Taxon 10 -> C239
Taxon 11 -> C262
Taxon 12 -> C267
Taxon 13 -> C280
Taxon 14 -> C27
Taxon 15 -> C37
Taxon 16 -> C39
Taxon 17 -> C42
Taxon 18 -> C47
Taxon 19 -> C51
Taxon 20 -> C52
Taxon 21 -> C55
Taxon 22 -> C65
Taxon 23 -> C215
Taxon 24 -> C67
Taxon 25 -> C70
Taxon 26 -> C75
Taxon 27 -> C79
Taxon 28 -> C80
Taxon 29 -> C83
Taxon 30 -> C93
Taxon 31 -> C95
Taxon 32 -> C98
Taxon 33 -> C103
Taxon 34 -> C123
Taxon 35 -> C107
Taxon 36 -> C108
Taxon 37 -> C111
Taxon 38 -> C121
Taxon 39 -> C14
Taxon 40 -> C126
Taxon 41 -> C131
Taxon 42 -> C135
Taxon 43 -> C6
Taxon 44 -> C139
Taxon 45 -> C278
Taxon 46 -> C149
Taxon 47 -> C151
Taxon 48 -> C154
Taxon 49 -> C159
Taxon 50 -> C163
Taxon 51 -> C164
Taxon 52 -> C167
Taxon 53 -> C177
Taxon 54 -> C179
Taxon 55 -> C182
Taxon 56 -> C136
Taxon 57 -> C16
Taxon 58 -> C191
Taxon 59 -> C192
Taxon 60 -> C195
Taxon 61 -> C205
Taxon 62 -> C207
Taxon 63 -> C210
Taxon 64 -> C3
Taxon 65 -> C219
Taxon 66 -> C220
Taxon 67 -> C246
Taxon 68 -> C223
Taxon 69 -> C233
Taxon 70 -> C235
Taxon 71 -> C238
Taxon 72 -> C243
Taxon 73 -> C247
Taxon 74 -> C248
Taxon 75 -> C251
Taxon 76 -> C261
Taxon 77 -> C263
Taxon 78 -> C73
Taxon 79 -> C35
Taxon 80 -> C25
Taxon 81 -> C137
Taxon 82 -> C138
Taxon 83 -> C48
Taxon 84 -> C84
Taxon 85 -> C143
Taxon 86 -> C142
Taxon 87 -> C87
Taxon 88 -> C9
Taxon 89 -> C144
Taxon 90 -> C145
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668829261
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) = 197703060
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 = 8747011797
Seed = 2052380451
Swapseed = 1668829261
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 9 unique site patterns
Division 2 has 7 unique site patterns
Division 3 has 24 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 -- -1892.975774 -- 149.597508
Chain 2 -- -1919.366377 -- 149.597508
Chain 3 -- -1908.512812 -- 149.597508
Chain 4 -- -1881.278985 -- 149.597508
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1951.990840 -- 149.597508
Chain 2 -- -1913.145062 -- 149.597508
Chain 3 -- -1933.622832 -- 149.597508
Chain 4 -- -1777.806188 -- 149.597508
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1892.976] (-1919.366) (-1908.513) (-1881.279) * [-1951.991] (-1913.145) (-1933.623) (-1777.806)
1000 -- (-1151.385) (-1051.933) (-1096.675) [-1079.954] * (-1091.321) (-1169.837) (-1066.083) [-943.031] -- 0:33:18
2000 -- (-980.127) [-877.821] (-930.304) (-929.802) * (-960.542) (-1092.410) (-890.608) [-795.227] -- 0:33:16
3000 -- (-860.887) (-849.547) (-875.022) [-856.876] * (-832.526) (-946.630) (-903.956) [-768.551] -- 0:27:41
4000 -- (-807.859) (-818.237) (-831.587) [-794.749] * (-769.733) (-878.595) (-826.150) [-739.310] -- 0:29:03
5000 -- (-798.781) (-799.292) (-807.770) [-796.752] * (-756.196) (-817.605) (-786.613) [-739.858] -- 0:29:51
Average standard deviation of split frequencies: 0.086142
6000 -- (-766.977) (-762.301) (-783.032) [-768.699] * (-741.157) (-758.587) (-785.969) [-737.741] -- 0:27:36
7000 -- (-771.347) (-722.043) (-756.301) [-754.651] * (-735.386) (-762.726) (-771.171) [-726.783] -- 0:28:22
8000 -- (-768.218) (-715.720) (-743.583) [-747.797] * (-732.724) (-760.303) (-754.041) [-714.966] -- 0:28:56
9000 -- (-759.485) (-716.934) (-755.174) [-736.613] * (-714.804) (-750.014) (-738.832) [-705.657] -- 0:29:21
10000 -- (-741.849) (-709.221) (-754.282) [-724.207] * (-714.291) (-748.757) (-718.614) [-705.890] -- 0:29:42
Average standard deviation of split frequencies: 0.123517
11000 -- (-737.782) (-716.125) (-748.227) [-707.190] * (-722.515) (-734.432) (-711.053) [-696.774] -- 0:28:28
12000 -- (-736.005) (-710.794) (-718.280) [-697.135] * (-735.585) (-732.547) (-716.385) [-691.168] -- 0:28:49
13000 -- (-740.057) (-707.874) (-714.785) [-690.124] * (-736.950) (-732.381) (-709.647) [-692.979] -- 0:29:06
14000 -- (-740.971) (-696.123) (-730.285) [-699.112] * (-736.051) (-745.526) (-703.154) [-687.789] -- 0:28:10
15000 -- (-748.736) (-703.984) (-714.720) [-680.400] * (-732.632) (-736.692) (-710.953) [-694.319] -- 0:28:27
Average standard deviation of split frequencies: 0.122655
16000 -- (-766.579) (-708.482) (-719.201) [-684.958] * (-743.524) (-736.242) (-704.242) [-692.243] -- 0:28:42
17000 -- (-758.743) (-705.723) (-731.576) [-689.396] * (-725.248) (-722.693) (-700.950) [-691.835] -- 0:28:54
18000 -- (-751.495) (-714.096) (-723.762) [-686.823] * (-709.922) (-729.402) (-701.466) [-677.404] -- 0:29:05
19000 -- (-743.864) (-712.578) (-727.004) [-691.044] * (-708.518) (-714.979) (-701.204) [-671.253] -- 0:28:23
20000 -- (-737.845) (-708.920) (-728.863) [-688.882] * (-702.959) (-719.225) (-711.490) [-679.186] -- 0:28:35
Average standard deviation of split frequencies: 0.129602
21000 -- (-725.571) (-715.643) (-734.929) [-684.857] * (-716.989) (-726.044) (-711.418) [-690.166] -- 0:28:44
22000 -- (-733.215) (-714.111) (-728.196) [-684.162] * (-715.685) (-743.135) (-709.722) [-681.199] -- 0:28:09
23000 -- (-735.620) (-708.601) (-722.512) [-680.246] * (-721.361) (-735.556) (-722.258) [-678.900] -- 0:28:19
24000 -- (-732.298) (-705.751) (-708.804) [-679.550] * (-721.658) (-737.445) (-713.404) [-674.541] -- 0:28:28
25000 -- (-720.135) (-701.747) (-715.604) [-685.260] * (-711.768) (-729.716) (-714.479) [-690.161] -- 0:28:36
Average standard deviation of split frequencies: 0.101781
26000 -- (-726.981) (-714.350) (-717.557) [-676.495] * (-721.372) (-733.555) (-705.156) [-701.018] -- 0:28:05
27000 -- (-727.632) (-702.601) (-709.192) [-673.138] * (-731.210) (-734.992) (-701.274) [-699.296] -- 0:28:13
28000 -- (-735.003) (-707.802) (-717.535) [-681.739] * (-732.683) (-728.452) (-708.176) [-690.891] -- 0:27:46
29000 -- (-741.210) (-704.086) (-710.078) [-682.861] * (-733.464) (-724.977) (-707.516) [-690.177] -- 0:27:54
30000 -- (-744.237) (-704.770) (-713.971) [-679.881] * (-742.745) (-728.307) (-706.917) [-692.198] -- 0:27:29
Average standard deviation of split frequencies: 0.109799
31000 -- (-733.307) (-705.813) (-711.905) [-675.870] * (-720.858) (-726.174) (-707.671) [-699.222] -- 0:27:36
32000 -- (-721.887) (-703.605) (-712.338) [-680.507] * (-705.264) (-722.077) (-699.706) [-699.734] -- 0:27:43
33000 -- (-723.194) (-704.283) (-707.404) [-676.835] * (-712.165) (-714.139) (-705.431) [-693.223] -- 0:27:20
34000 -- (-728.952) (-703.921) (-717.744) [-669.528] * (-703.182) (-726.305) (-707.193) [-687.831] -- 0:27:27
35000 -- (-722.121) (-703.603) (-715.256) [-671.175] * (-718.019) (-721.113) (-709.807) [-688.289] -- 0:27:34
Average standard deviation of split frequencies: 0.120637
36000 -- (-725.585) (-707.189) (-714.411) [-674.911] * (-719.655) (-732.142) (-712.276) [-680.377] -- 0:27:13
37000 -- (-732.796) (-699.035) (-714.725) [-669.750] * (-705.747) (-721.731) (-716.919) [-680.351] -- 0:27:19
38000 -- (-742.131) (-704.732) (-718.192) [-682.136] * (-711.862) (-724.940) (-715.783) [-683.407] -- 0:27:25
39000 -- (-738.272) (-711.116) (-714.231) [-678.115] * (-717.475) (-736.052) (-706.957) [-683.236] -- 0:27:06
40000 -- (-737.416) (-706.326) (-704.395) [-674.176] * (-713.812) (-728.336) (-714.512) [-678.643] -- 0:27:12
Average standard deviation of split frequencies: 0.108916
41000 -- (-721.054) (-697.800) (-702.848) [-675.185] * (-716.943) (-721.587) (-719.379) [-681.234] -- 0:27:17
42000 -- (-734.498) (-700.846) (-718.309) [-668.132] * (-713.717) (-719.174) (-712.321) [-681.858] -- 0:26:59
43000 -- (-728.250) (-711.790) (-715.640) [-667.959] * (-708.168) (-736.539) (-712.195) [-686.393] -- 0:27:04
44000 -- (-729.180) (-706.794) (-706.739) [-670.827] * (-708.184) (-730.327) (-713.755) [-679.117] -- 0:26:47
45000 -- (-728.870) (-713.148) (-708.552) [-666.449] * (-712.354) (-717.833) (-707.496) [-683.941] -- 0:26:52
Average standard deviation of split frequencies: 0.103484
46000 -- (-738.060) (-712.979) (-717.667) [-666.853] * (-718.244) (-727.481) (-723.112) [-690.343] -- 0:26:57
47000 -- (-729.414) (-718.926) (-714.440) [-662.285] * (-718.416) (-730.085) (-726.124) [-701.396] -- 0:27:02
48000 -- (-737.559) (-710.859) (-702.013) [-665.182] * (-705.264) (-728.065) (-723.034) [-690.470] -- 0:26:46
49000 -- (-743.487) (-711.264) (-716.977) [-671.088] * (-721.931) (-733.122) (-720.216) [-681.399] -- 0:26:50
50000 -- (-738.615) (-698.893) (-712.284) [-674.846] * (-713.663) (-739.843) (-712.723) [-696.949] -- 0:26:55
Average standard deviation of split frequencies: 0.122087
51000 -- (-736.226) (-697.715) (-714.613) [-669.222] * (-714.382) (-739.941) (-714.955) [-677.847] -- 0:26:58
52000 -- (-732.096) (-702.788) (-716.340) [-664.609] * (-723.847) (-742.127) (-712.152) [-681.223] -- 0:26:44
53000 -- (-732.401) (-693.726) (-727.206) [-659.960] * (-725.546) (-734.475) (-711.820) [-679.303] -- 0:26:48
54000 -- (-725.581) (-702.669) (-729.729) [-656.543] * (-731.497) (-728.595) (-704.998) [-681.258] -- 0:26:51
55000 -- (-718.316) (-705.261) (-721.434) [-661.008] * (-728.436) (-734.965) (-707.688) [-678.739] -- 0:26:37
Average standard deviation of split frequencies: 0.117851
56000 -- (-719.306) (-706.396) (-725.297) [-659.161] * (-725.121) (-714.142) (-705.103) [-677.560] -- 0:26:41
57000 -- (-714.986) (-698.704) (-716.781) [-664.563] * (-722.089) (-721.555) (-702.882) [-681.064] -- 0:26:44
58000 -- (-711.169) (-694.125) (-716.068) [-659.007] * (-725.520) (-731.792) (-703.084) [-681.182] -- 0:26:47
59000 -- (-718.932) (-694.252) (-708.441) [-658.039] * (-724.905) (-726.226) (-711.204) [-674.894] -- 0:26:34
60000 -- (-716.120) (-702.510) (-713.983) [-657.590] * (-717.547) (-709.034) (-717.787) [-674.821] -- 0:26:38
Average standard deviation of split frequencies: 0.121863
61000 -- (-720.672) (-704.173) (-708.867) [-659.890] * (-722.985) (-708.598) (-725.164) [-675.724] -- 0:26:40
62000 -- (-701.822) (-700.810) (-722.147) [-667.691] * (-722.942) (-723.943) (-727.603) [-676.469] -- 0:26:43
63000 -- (-709.598) (-709.378) (-720.794) [-668.059] * (-726.512) (-711.151) (-710.197) [-673.652] -- 0:26:31
64000 -- (-708.405) (-716.560) (-725.306) [-663.142] * (-730.890) (-719.739) (-705.863) [-666.197] -- 0:26:34
65000 -- (-709.973) (-709.075) (-721.342) [-670.101] * (-735.269) (-723.042) (-714.235) [-671.311] -- 0:26:36
Average standard deviation of split frequencies: 0.123387
66000 -- (-716.102) (-701.095) (-725.798) [-671.971] * (-733.766) (-719.424) (-716.580) [-674.432] -- 0:26:24
67000 -- (-718.164) (-701.103) (-715.569) [-679.944] * (-726.003) (-721.223) (-705.717) [-675.885] -- 0:26:27
68000 -- (-710.338) (-701.884) (-719.298) [-667.868] * (-725.704) (-708.678) (-712.252) [-673.506] -- 0:26:29
69000 -- (-715.824) (-697.427) (-719.030) [-676.222] * (-726.814) (-710.508) (-709.651) [-670.209] -- 0:26:32
70000 -- (-719.675) (-705.126) (-710.676) [-675.120] * (-722.086) (-721.515) (-701.772) [-672.580] -- 0:26:21
Average standard deviation of split frequencies: 0.119099
71000 -- (-719.015) (-701.399) (-715.470) [-664.058] * (-714.975) (-718.200) (-709.441) [-670.244] -- 0:26:23
72000 -- (-712.060) (-706.256) (-707.631) [-665.340] * (-718.749) (-715.253) (-712.366) [-667.702] -- 0:26:25
73000 -- (-712.287) (-712.233) (-712.527) [-671.305] * (-716.886) (-715.398) (-706.330) [-672.707] -- 0:26:27
74000 -- (-709.401) (-709.546) (-721.124) [-671.757] * (-708.829) (-725.290) (-697.576) [-665.204] -- 0:26:29
75000 -- (-707.102) (-716.293) (-709.371) [-668.714] * (-707.943) (-734.172) (-707.624) [-658.975] -- 0:26:18
Average standard deviation of split frequencies: 0.108702
76000 -- (-713.708) (-710.461) (-708.348) [-661.974] * (-712.783) (-747.656) (-716.134) [-658.408] -- 0:26:20
77000 -- (-703.798) (-713.198) (-711.145) [-668.016] * (-706.613) (-726.514) (-708.166) [-666.203] -- 0:26:10
78000 -- (-708.579) (-708.223) (-707.880) [-670.540] * (-717.414) (-723.907) (-712.347) [-656.238] -- 0:26:12
79000 -- (-708.562) (-704.349) (-707.868) [-667.854] * (-728.961) (-716.787) (-717.237) [-659.631] -- 0:26:13
80000 -- (-711.213) (-697.968) (-724.130) [-672.155] * (-727.087) (-717.832) (-711.585) [-652.314] -- 0:26:04
Average standard deviation of split frequencies: 0.101593
81000 -- (-709.726) (-700.513) (-712.801) [-672.202] * (-709.050) (-708.486) (-706.884) [-652.410] -- 0:26:05
82000 -- (-703.651) (-711.011) (-709.079) [-669.123] * (-710.490) (-720.875) (-708.551) [-650.391] -- 0:26:07
83000 -- (-703.359) (-711.432) (-713.231) [-670.807] * (-716.655) (-710.516) (-710.166) [-654.377] -- 0:25:57
84000 -- (-716.024) (-721.165) (-720.896) [-666.771] * (-704.433) (-708.998) (-714.526) [-663.785] -- 0:25:59
85000 -- (-720.125) (-711.156) (-723.610) [-667.878] * (-708.964) (-721.601) (-719.198) [-655.410] -- 0:25:50
Average standard deviation of split frequencies: 0.093586
86000 -- (-713.618) (-717.723) (-726.800) [-671.855] * (-705.273) (-713.979) (-710.143) [-656.049] -- 0:25:51
87000 -- (-704.536) (-715.516) (-710.982) [-664.501] * (-707.554) (-720.533) (-715.942) [-657.228] -- 0:25:42
88000 -- (-711.063) (-718.554) (-723.750) [-657.347] * (-705.584) (-714.595) (-708.716) [-666.975] -- 0:25:44
89000 -- (-692.021) (-735.559) (-715.252) [-654.329] * (-688.845) (-730.521) (-718.556) [-660.705] -- 0:25:45
90000 -- (-691.903) (-724.436) (-716.193) [-653.653] * (-696.718) (-735.181) (-723.998) [-666.379] -- 0:25:36
Average standard deviation of split frequencies: 0.095147
91000 -- (-700.607) (-723.467) (-709.759) [-651.914] * (-701.472) (-728.216) (-716.298) [-662.725] -- 0:25:38
92000 -- (-704.334) (-732.433) (-706.541) [-656.177] * (-692.071) (-724.668) (-713.998) [-661.606] -- 0:25:29
93000 -- (-708.371) (-730.864) (-717.486) [-648.450] * (-693.458) (-724.271) (-720.781) [-666.824] -- 0:25:31
94000 -- (-705.062) (-716.699) (-732.228) [-656.375] * (-711.059) (-707.689) (-726.585) [-659.183] -- 0:25:32
95000 -- (-707.471) (-724.874) (-714.577) [-667.659] * (-710.781) (-712.798) (-716.963) [-663.719] -- 0:25:24
Average standard deviation of split frequencies: 0.093658
96000 -- (-727.791) (-727.826) (-706.459) [-665.391] * (-720.036) (-711.800) (-717.832) [-668.476] -- 0:25:25
97000 -- (-719.967) (-727.104) (-705.399) [-666.192] * (-704.013) (-709.757) (-718.845) [-664.864] -- 0:25:17
98000 -- (-730.887) (-723.445) (-702.770) [-674.179] * (-698.924) (-722.163) (-716.625) [-653.306] -- 0:25:18
99000 -- (-732.339) (-727.263) (-699.989) [-675.024] * (-696.857) (-722.095) (-723.929) [-660.262] -- 0:25:19
100000 -- (-741.395) (-724.474) (-704.560) [-671.063] * (-701.021) (-722.403) (-732.237) [-657.142] -- 0:25:21
Average standard deviation of split frequencies: 0.094684
101000 -- (-713.534) (-715.142) (-709.709) [-671.306] * (-703.837) (-733.865) (-716.254) [-659.600] -- 0:25:13
102000 -- (-724.811) (-705.651) (-704.277) [-665.649] * (-702.873) (-723.748) (-716.013) [-663.562] -- 0:25:14
103000 -- (-727.569) (-714.257) (-701.267) [-663.158] * (-700.113) (-716.294) (-717.753) [-660.976] -- 0:25:15
104000 -- (-724.131) (-734.694) (-700.086) [-659.789] * (-706.299) (-719.573) (-715.971) [-662.835] -- 0:25:07
105000 -- (-715.892) (-717.223) (-704.929) [-660.380] * (-704.383) (-716.576) (-711.470) [-661.480] -- 0:25:08
Average standard deviation of split frequencies: 0.092357
106000 -- (-714.621) (-712.928) (-703.048) [-657.063] * (-723.039) (-719.256) (-713.059) [-669.131] -- 0:25:09
107000 -- (-721.483) (-711.826) (-699.654) [-663.652] * (-718.244) (-709.690) (-717.980) [-665.821] -- 0:25:10
108000 -- (-716.427) (-714.801) (-703.113) [-665.689] * (-714.757) (-714.982) (-729.527) [-671.318] -- 0:25:03
109000 -- (-730.481) (-708.865) (-708.952) [-664.565] * (-729.799) (-729.247) (-718.948) [-674.530] -- 0:25:04
110000 -- (-732.463) (-710.135) (-707.674) [-652.670] * (-712.710) (-744.866) (-717.869) [-664.045] -- 0:25:04
Average standard deviation of split frequencies: 0.096482
111000 -- (-726.315) (-713.295) (-697.103) [-657.380] * (-718.218) (-731.142) (-714.084) [-659.215] -- 0:25:05
112000 -- (-727.885) (-711.554) (-699.573) [-662.427] * (-714.692) (-719.882) (-711.756) [-659.382] -- 0:24:58
113000 -- (-717.229) (-716.388) (-692.778) [-660.529] * (-721.168) (-721.807) (-715.040) [-656.787] -- 0:24:59
114000 -- (-723.057) (-709.347) (-684.283) [-656.243] * (-719.217) (-724.114) (-708.993) [-662.201] -- 0:24:59
115000 -- (-718.093) (-707.191) (-694.047) [-654.324] * (-720.136) (-729.004) (-710.648) [-666.636] -- 0:25:00
Average standard deviation of split frequencies: 0.089801
116000 -- (-719.827) (-706.477) (-713.470) [-660.773] * (-720.737) (-724.619) (-711.482) [-660.892] -- 0:24:53
117000 -- (-716.964) (-700.273) (-711.412) [-666.587] * (-712.780) (-708.620) (-711.179) [-657.003] -- 0:24:54
118000 -- (-705.065) (-705.980) (-707.018) [-663.116] * (-705.331) (-710.324) (-716.385) [-659.685] -- 0:24:47
119000 -- (-708.813) (-720.610) (-708.413) [-657.127] * (-711.431) (-720.320) (-720.928) [-656.666] -- 0:24:48
120000 -- (-716.957) (-714.472) (-713.290) [-672.062] * (-720.525) (-710.475) (-726.904) [-654.868] -- 0:24:48
Average standard deviation of split frequencies: 0.093059
121000 -- (-713.774) (-709.941) (-727.136) [-666.061] * (-713.521) (-702.583) (-712.143) [-666.621] -- 0:24:41
122000 -- (-720.444) (-724.982) (-712.098) [-670.046] * (-720.304) (-707.399) (-712.971) [-670.296] -- 0:24:42
123000 -- (-714.553) (-713.700) (-707.619) [-674.000] * (-709.060) (-722.221) (-716.709) [-677.656] -- 0:24:43
124000 -- (-713.931) (-713.385) (-707.178) [-668.951] * (-709.524) (-700.736) (-713.504) [-666.795] -- 0:24:43
125000 -- (-710.805) (-713.425) (-713.188) [-672.564] * (-718.886) (-709.817) (-725.343) [-661.776] -- 0:24:37
Average standard deviation of split frequencies: 0.088188
126000 -- (-726.334) (-716.401) (-719.896) [-668.488] * (-717.769) (-706.131) (-720.350) [-664.232] -- 0:24:37
127000 -- (-723.967) (-714.483) (-716.716) [-660.370] * (-716.356) (-705.206) (-715.996) [-672.811] -- 0:24:37
128000 -- (-730.221) (-698.067) (-719.033) [-665.350] * (-721.914) (-711.357) (-719.944) [-673.345] -- 0:24:31
129000 -- (-742.982) (-699.636) (-722.828) [-656.620] * (-710.898) (-712.957) (-716.968) [-669.299] -- 0:24:31
130000 -- (-723.933) (-701.913) (-718.706) [-665.493] * (-712.519) (-709.566) (-723.415) [-664.388] -- 0:24:32
Average standard deviation of split frequencies: 0.092281
131000 -- (-727.758) (-698.946) (-710.883) [-664.649] * (-703.109) (-712.466) (-717.280) [-673.741] -- 0:24:26
132000 -- (-718.522) (-706.134) (-733.973) [-664.757] * (-714.367) (-714.773) (-723.934) [-666.292] -- 0:24:26
133000 -- (-707.501) (-706.796) (-721.594) [-663.663] * (-712.186) (-709.735) (-729.941) [-660.790] -- 0:24:26
134000 -- (-706.366) (-695.530) (-711.340) [-663.243] * (-714.584) (-721.571) (-727.733) [-659.191] -- 0:24:20
135000 -- (-706.796) (-703.378) (-720.991) [-665.118] * (-715.970) (-713.290) (-725.989) [-653.086] -- 0:24:20
Average standard deviation of split frequencies: 0.087366
136000 -- (-704.010) (-706.659) (-710.007) [-661.042] * (-726.653) (-734.815) (-739.734) [-656.690] -- 0:24:21
137000 -- (-704.630) (-706.647) (-733.109) [-658.158] * (-711.378) (-715.769) (-739.820) [-664.020] -- 0:24:15
138000 -- (-713.480) (-708.339) (-723.161) [-661.919] * (-718.736) (-722.926) (-739.062) [-657.310] -- 0:24:15
139000 -- (-720.661) (-717.035) (-710.627) [-662.505] * (-735.070) (-721.231) (-739.495) [-661.671] -- 0:24:15
140000 -- (-722.590) (-711.098) (-714.023) [-657.692] * (-725.099) (-717.863) (-740.325) [-661.346] -- 0:24:09
Average standard deviation of split frequencies: 0.086852
141000 -- (-719.012) (-704.782) (-711.446) [-654.481] * (-725.548) (-712.072) (-734.941) [-655.214] -- 0:24:09
142000 -- (-721.221) (-706.850) (-720.876) [-663.973] * (-707.342) (-711.138) (-730.679) [-657.577] -- 0:24:10
143000 -- (-714.385) (-713.776) (-717.035) [-668.045] * (-705.009) (-710.809) (-726.345) [-661.314] -- 0:24:10
144000 -- (-714.956) (-704.698) (-719.351) [-666.418] * (-709.468) (-713.178) (-717.698) [-666.910] -- 0:24:04
145000 -- (-721.711) (-706.794) (-715.790) [-668.458] * (-705.860) (-727.053) (-724.184) [-657.770] -- 0:24:04
Average standard deviation of split frequencies: 0.076896
146000 -- (-736.806) (-702.897) (-724.901) [-669.637] * (-702.346) (-710.077) (-716.170) [-659.062] -- 0:24:04
147000 -- (-721.130) (-701.136) (-705.823) [-658.680] * (-706.301) (-706.128) (-716.838) [-658.036] -- 0:23:59
148000 -- (-731.816) (-698.392) (-719.702) [-667.332] * (-697.166) (-711.122) (-719.531) [-657.755] -- 0:23:59
149000 -- (-724.255) (-715.707) (-710.664) [-658.261] * (-715.954) (-716.307) (-732.388) [-662.456] -- 0:23:59
150000 -- (-716.228) (-719.033) (-697.504) [-662.490] * (-716.619) (-724.445) (-726.411) [-661.148] -- 0:23:53
Average standard deviation of split frequencies: 0.068208
151000 -- (-730.081) (-716.278) (-697.997) [-673.181] * (-723.554) (-723.870) (-716.610) [-664.232] -- 0:23:53
152000 -- (-720.429) (-722.331) (-703.490) [-674.243] * (-716.322) (-723.410) (-705.187) [-659.709] -- 0:23:53
153000 -- (-716.746) (-724.578) (-693.792) [-665.077] * (-707.089) (-718.625) (-722.772) [-662.582] -- 0:23:53
154000 -- (-710.862) (-726.482) (-702.178) [-662.257] * (-710.915) (-714.542) (-719.781) [-653.522] -- 0:23:48
155000 -- (-715.767) (-724.426) (-709.979) [-652.565] * (-709.529) (-707.100) (-716.891) [-659.908] -- 0:23:48
Average standard deviation of split frequencies: 0.065550
156000 -- (-720.788) (-721.782) (-707.279) [-655.104] * (-710.815) (-705.032) (-724.871) [-665.116] -- 0:23:48
157000 -- (-724.396) (-709.285) (-700.236) [-655.824] * (-710.789) (-709.141) (-725.107) [-655.452] -- 0:23:42
158000 -- (-722.834) (-708.808) (-711.779) [-650.667] * (-714.518) (-709.146) (-721.889) [-658.335] -- 0:23:42
159000 -- (-714.650) (-721.877) (-710.661) [-662.301] * (-708.649) (-714.915) (-726.206) [-658.386] -- 0:23:42
160000 -- (-724.449) (-708.670) (-707.083) [-658.501] * (-699.642) (-711.809) (-729.225) [-661.070] -- 0:23:37
Average standard deviation of split frequencies: 0.062805
161000 -- (-721.993) (-723.427) (-710.604) [-664.041] * (-716.269) (-705.422) (-734.213) [-664.249] -- 0:23:37
162000 -- (-727.799) (-713.755) (-712.470) [-660.981] * (-718.683) (-704.630) (-725.330) [-659.755] -- 0:23:37
163000 -- (-721.300) (-727.187) (-705.570) [-672.486] * (-710.325) (-709.468) (-721.951) [-657.493] -- 0:23:32
164000 -- (-721.745) (-726.593) (-704.670) [-664.059] * (-712.927) (-711.430) (-721.114) [-667.658] -- 0:23:32
165000 -- (-725.835) (-725.129) (-707.380) [-664.757] * (-701.749) (-711.400) (-735.720) [-653.790] -- 0:23:31
Average standard deviation of split frequencies: 0.056945
166000 -- (-723.245) (-714.419) (-710.125) [-665.093] * (-705.914) (-715.175) (-730.089) [-656.098] -- 0:23:26
167000 -- (-715.460) (-708.258) (-710.952) [-660.014] * (-706.642) (-718.969) (-726.580) [-661.191] -- 0:23:26
168000 -- (-713.965) (-712.642) (-718.459) [-660.930] * (-701.261) (-722.527) (-735.811) [-659.991] -- 0:23:26
169000 -- (-715.572) (-724.077) (-710.457) [-660.145] * (-709.693) (-716.850) (-731.441) [-666.897] -- 0:23:26
170000 -- (-719.891) (-719.452) (-710.016) [-657.971] * (-702.697) (-711.007) (-725.085) [-660.808] -- 0:23:21
Average standard deviation of split frequencies: 0.054869
171000 -- (-722.802) (-739.043) (-714.695) [-673.648] * (-709.794) (-713.639) (-722.462) [-663.737] -- 0:23:21
172000 -- (-714.398) (-726.195) (-716.109) [-660.436] * (-702.603) (-714.396) (-743.244) [-668.815] -- 0:23:16
173000 -- (-715.767) (-722.241) (-720.078) [-666.843] * (-692.509) (-717.375) (-731.551) [-664.702] -- 0:23:15
174000 -- (-720.309) (-732.561) (-711.576) [-672.566] * (-696.512) (-718.358) (-732.398) [-669.721] -- 0:23:15
175000 -- (-714.494) (-718.033) (-699.050) [-670.174] * (-693.674) (-727.032) (-747.002) [-664.757] -- 0:23:15
Average standard deviation of split frequencies: 0.054696
176000 -- (-718.167) (-733.265) (-705.526) [-671.350] * (-699.899) (-716.762) (-757.431) [-656.335] -- 0:23:10
177000 -- (-708.946) (-723.515) (-704.071) [-663.676] * (-693.541) (-723.870) (-724.039) [-660.791] -- 0:23:10
178000 -- (-723.439) (-734.214) (-707.252) [-670.392] * (-697.410) (-720.813) (-739.492) [-661.085] -- 0:23:10
179000 -- (-733.024) (-734.603) (-705.378) [-666.662] * (-701.444) (-717.913) (-736.472) [-670.244] -- 0:23:05
180000 -- (-727.083) (-723.478) (-706.134) [-674.473] * (-699.947) (-716.659) (-717.711) [-672.723] -- 0:23:04
Average standard deviation of split frequencies: 0.051480
181000 -- (-742.330) (-725.671) (-700.790) [-666.742] * (-700.600) (-721.743) (-713.860) [-663.341] -- 0:23:04
182000 -- (-743.063) (-716.083) (-702.464) [-663.004] * (-701.494) (-706.556) (-713.277) [-665.624] -- 0:22:59
183000 -- (-728.158) (-711.482) (-710.506) [-663.594] * (-696.747) (-698.734) (-721.862) [-666.701] -- 0:22:59
184000 -- (-731.186) (-717.473) (-710.008) [-663.252] * (-689.266) (-703.690) (-710.976) [-664.320] -- 0:22:54
185000 -- (-724.235) (-714.976) (-702.506) [-664.276] * (-693.817) (-719.519) (-703.785) [-658.977] -- 0:22:54
Average standard deviation of split frequencies: 0.048086
186000 -- (-729.828) (-717.594) (-698.765) [-658.408] * (-696.429) (-707.572) (-705.183) [-658.299] -- 0:22:54
187000 -- (-725.184) (-725.246) (-708.867) [-666.791] * (-697.749) (-707.047) (-706.941) [-662.232] -- 0:22:53
188000 -- (-726.772) (-728.911) (-697.709) [-668.598] * (-700.428) (-711.610) (-714.334) [-659.407] -- 0:22:49
189000 -- (-709.616) (-729.437) (-707.372) [-670.246] * (-709.928) (-715.176) (-712.438) [-655.331] -- 0:22:48
190000 -- (-709.539) (-729.614) (-702.056) [-666.818] * (-711.830) (-737.442) (-705.466) [-665.752] -- 0:22:48
Average standard deviation of split frequencies: 0.044641
191000 -- (-712.228) (-736.577) (-700.379) [-654.912] * (-710.065) (-717.188) (-717.210) [-657.088] -- 0:22:43
192000 -- (-704.210) (-735.258) (-704.377) [-657.134] * (-716.708) (-722.655) (-715.329) [-663.501] -- 0:22:43
193000 -- (-710.325) (-733.643) (-701.654) [-662.913] * (-701.470) (-713.321) (-716.575) [-664.421] -- 0:22:38
194000 -- (-718.376) (-726.859) (-709.933) [-666.058] * (-703.713) (-719.231) (-726.521) [-664.061] -- 0:22:38
195000 -- (-710.152) (-726.202) (-704.622) [-662.345] * (-704.763) (-721.941) (-727.470) [-660.547] -- 0:22:38
Average standard deviation of split frequencies: 0.045430
196000 -- (-710.865) (-723.613) (-701.000) [-658.209] * (-698.097) (-705.029) (-714.542) [-660.358] -- 0:22:37
197000 -- (-711.539) (-715.267) (-702.551) [-653.800] * (-696.552) (-714.942) (-717.597) [-661.487] -- 0:22:33
198000 -- (-708.016) (-725.343) (-724.512) [-659.866] * (-703.856) (-716.070) (-718.874) [-657.407] -- 0:22:32
199000 -- (-710.530) (-709.218) (-719.143) [-661.385] * (-704.473) (-713.384) (-710.830) [-659.565] -- 0:22:32
200000 -- (-706.247) (-718.303) (-724.943) [-667.969] * (-703.774) (-716.813) (-711.191) [-658.963] -- 0:22:28
Average standard deviation of split frequencies: 0.044358
201000 -- (-705.816) (-720.272) (-729.810) [-662.003] * (-703.687) (-718.912) (-721.895) [-654.796] -- 0:22:27
202000 -- (-721.468) (-717.785) (-717.327) [-672.125] * (-697.249) (-726.526) (-711.988) [-657.751] -- 0:22:27
203000 -- (-716.817) (-711.997) (-722.792) [-663.435] * (-708.079) (-713.906) (-704.858) [-661.302] -- 0:22:22
204000 -- (-711.543) (-723.625) (-723.245) [-664.592] * (-705.497) (-709.117) (-712.813) [-655.369] -- 0:22:22
205000 -- (-713.239) (-724.122) (-704.544) [-670.419] * (-708.325) (-704.433) (-710.960) [-669.843] -- 0:22:21
Average standard deviation of split frequencies: 0.042171
206000 -- (-709.917) (-726.206) (-708.159) [-672.528] * (-718.358) (-709.609) (-721.998) [-669.516] -- 0:22:17
207000 -- (-730.348) (-725.289) (-696.972) [-674.831] * (-717.766) (-711.478) (-717.721) [-665.308] -- 0:22:16
208000 -- (-724.234) (-723.151) (-707.633) [-671.194] * (-709.758) (-708.881) (-720.228) [-669.134] -- 0:22:16
209000 -- (-729.287) (-709.451) (-706.007) [-671.331] * (-707.959) (-711.777) (-719.510) [-672.316] -- 0:22:12
210000 -- (-717.085) (-709.421) (-719.601) [-672.571] * (-706.127) (-707.376) (-744.416) [-668.088] -- 0:22:11
Average standard deviation of split frequencies: 0.040143
211000 -- (-721.781) (-713.485) (-710.574) [-672.929] * (-705.416) (-713.792) (-737.398) [-672.969] -- 0:22:07
212000 -- (-722.546) (-708.137) (-712.390) [-668.880] * (-707.622) (-715.228) (-736.145) [-666.339] -- 0:22:06
213000 -- (-722.646) (-713.704) (-704.220) [-676.306] * (-705.748) (-720.556) (-745.318) [-666.563] -- 0:22:06
214000 -- (-727.784) (-717.841) (-708.001) [-666.292] * (-701.417) (-716.090) (-744.209) [-657.753] -- 0:22:05
215000 -- (-717.110) (-701.591) (-713.734) [-659.381] * (-702.234) (-729.600) (-731.942) [-665.952] -- 0:22:05
Average standard deviation of split frequencies: 0.040739
216000 -- (-720.094) (-703.781) (-722.949) [-661.802] * (-705.115) (-720.060) (-722.705) [-661.354] -- 0:22:01
217000 -- (-711.015) (-700.777) (-712.728) [-656.091] * (-696.875) (-713.759) (-731.092) [-663.838] -- 0:22:00
218000 -- (-709.125) (-712.222) (-716.598) [-673.029] * (-695.280) (-719.054) (-724.068) [-662.429] -- 0:22:00
219000 -- (-712.322) (-704.654) (-706.460) [-662.337] * (-710.412) (-717.967) (-714.847) [-660.492] -- 0:21:55
220000 -- (-711.837) (-708.161) (-712.546) [-665.821] * (-709.983) (-700.682) (-709.188) [-665.819] -- 0:21:55
Average standard deviation of split frequencies: 0.038518
221000 -- (-718.741) (-712.395) (-716.435) [-671.401] * (-707.899) (-708.633) (-706.371) [-657.855] -- 0:21:54
222000 -- (-718.054) (-702.054) (-721.193) [-667.773] * (-702.288) (-702.638) (-706.082) [-665.185] -- 0:21:54
223000 -- (-718.481) (-703.520) (-720.831) [-661.468] * (-712.743) (-713.370) (-710.754) [-662.793] -- 0:21:50
224000 -- (-715.418) (-702.893) (-727.629) [-665.750] * (-707.693) (-712.586) (-705.182) [-668.856] -- 0:21:49
225000 -- (-712.054) (-724.631) (-727.520) [-670.777] * (-708.515) (-708.986) (-704.473) [-668.009] -- 0:21:48
Average standard deviation of split frequencies: 0.037545
226000 -- (-705.114) (-726.071) (-718.538) [-668.589] * (-717.742) (-705.622) (-704.793) [-661.871] -- 0:21:44
227000 -- (-700.672) (-717.364) (-701.688) [-662.754] * (-707.995) (-718.902) (-719.661) [-660.336] -- 0:21:44
228000 -- (-718.581) (-707.407) (-706.917) [-656.580] * (-704.004) (-713.393) (-720.168) [-663.606] -- 0:21:43
229000 -- (-711.250) (-711.623) (-705.470) [-661.267] * (-713.601) (-718.424) (-721.313) [-658.858] -- 0:21:42
230000 -- (-714.404) (-709.831) (-716.728) [-665.008] * (-721.396) (-719.970) (-716.339) [-668.254] -- 0:21:38
Average standard deviation of split frequencies: 0.036005
231000 -- (-714.447) (-723.769) (-703.877) [-658.861] * (-731.843) (-716.216) (-710.214) [-668.935] -- 0:21:38
232000 -- (-709.867) (-714.476) (-713.033) [-661.560] * (-725.028) (-707.038) (-710.644) [-662.741] -- 0:21:34
233000 -- (-716.936) (-711.627) (-717.923) [-659.485] * (-731.401) (-710.877) (-714.165) [-657.804] -- 0:21:33
234000 -- (-715.492) (-706.775) (-724.440) [-652.668] * (-717.031) (-712.194) (-712.055) [-660.717] -- 0:21:33
235000 -- (-720.829) (-708.305) (-721.599) [-657.143] * (-729.161) (-726.657) (-731.251) [-658.291] -- 0:21:29
Average standard deviation of split frequencies: 0.034185
236000 -- (-720.769) (-696.993) (-706.936) [-660.906] * (-726.938) (-708.003) (-725.494) [-661.528] -- 0:21:28
237000 -- (-722.685) (-708.534) (-708.948) [-659.845] * (-727.343) (-708.037) (-713.098) [-663.230] -- 0:21:27
238000 -- (-713.259) (-719.312) (-739.133) [-664.149] * (-737.671) (-702.625) (-720.557) [-666.475] -- 0:21:27
239000 -- (-722.359) (-716.952) (-737.536) [-661.448] * (-734.035) (-718.941) (-710.874) [-662.229] -- 0:21:23
240000 -- (-731.056) (-716.117) (-733.782) [-668.718] * (-726.034) (-722.713) (-714.092) [-655.549] -- 0:21:22
Average standard deviation of split frequencies: 0.034130
241000 -- (-729.833) (-716.857) (-714.910) [-665.613] * (-729.167) (-710.242) (-717.304) [-653.409] -- 0:21:21
242000 -- (-719.229) (-710.587) (-703.442) [-671.088] * (-734.051) (-706.552) (-717.388) [-656.331] -- 0:21:17
243000 -- (-732.415) (-694.855) (-722.691) [-667.809] * (-729.544) (-720.655) (-712.894) [-661.885] -- 0:21:17
244000 -- (-733.253) (-709.787) (-713.557) [-666.775] * (-729.692) (-716.212) (-723.132) [-661.444] -- 0:21:16
245000 -- (-713.896) (-712.308) (-719.448) [-665.465] * (-728.692) (-726.849) (-734.657) [-664.908] -- 0:21:12
Average standard deviation of split frequencies: 0.034219
246000 -- (-730.304) (-705.474) (-720.912) [-664.108] * (-734.821) (-727.458) (-731.873) [-666.015] -- 0:21:11
247000 -- (-722.400) (-703.087) (-714.826) [-670.595] * (-739.534) (-723.191) (-732.233) [-675.397] -- 0:21:08
248000 -- (-748.129) (-701.777) (-715.962) [-668.741] * (-733.274) (-720.710) (-737.827) [-660.009] -- 0:21:07
249000 -- (-733.187) (-710.201) (-727.401) [-667.674] * (-750.509) (-725.569) (-735.574) [-658.674] -- 0:21:06
250000 -- (-737.094) (-708.983) (-720.214) [-673.070] * (-730.883) (-712.697) (-721.851) [-666.161] -- 0:21:06
Average standard deviation of split frequencies: 0.034711
251000 -- (-720.108) (-714.086) (-707.433) [-665.267] * (-730.355) (-707.881) (-723.950) [-666.543] -- 0:21:02
252000 -- (-730.348) (-725.425) (-718.521) [-666.692] * (-725.975) (-722.891) (-721.939) [-658.381] -- 0:21:01
253000 -- (-735.182) (-710.060) (-722.840) [-661.821] * (-745.873) (-709.698) (-723.094) [-667.285] -- 0:21:00
254000 -- (-719.670) (-704.412) (-715.513) [-663.085] * (-734.732) (-712.225) (-717.872) [-668.657] -- 0:20:59
255000 -- (-723.428) (-702.170) (-715.084) [-663.198] * (-732.458) (-724.696) (-709.316) [-668.762] -- 0:20:56
Average standard deviation of split frequencies: 0.034671
256000 -- (-715.716) (-709.417) (-717.468) [-654.135] * (-735.630) (-724.197) (-712.903) [-660.624] -- 0:20:55
257000 -- (-733.930) (-717.231) (-708.562) [-657.120] * (-726.347) (-708.963) (-708.763) [-658.474] -- 0:20:54
258000 -- (-718.985) (-714.053) (-707.843) [-653.525] * (-715.192) (-717.260) (-712.080) [-658.318] -- 0:20:51
259000 -- (-710.053) (-711.760) (-710.143) [-662.615] * (-706.590) (-713.695) (-714.751) [-668.258] -- 0:20:50
260000 -- (-728.373) (-708.167) (-715.311) [-656.977] * (-724.284) (-711.877) (-718.490) [-658.317] -- 0:20:49
Average standard deviation of split frequencies: 0.034520
261000 -- (-721.983) (-708.819) (-714.466) [-661.381] * (-709.945) (-709.729) (-714.243) [-659.410] -- 0:20:45
262000 -- (-727.652) (-702.303) (-702.849) [-659.504] * (-719.674) (-705.962) (-731.615) [-660.639] -- 0:20:45
263000 -- (-723.478) (-701.020) (-720.203) [-667.653] * (-725.367) (-717.785) (-725.828) [-647.040] -- 0:20:44
264000 -- (-737.060) (-713.326) (-714.834) [-662.492] * (-721.619) (-721.647) (-724.904) [-645.549] -- 0:20:40
265000 -- (-715.733) (-706.469) (-702.736) [-668.987] * (-725.389) (-717.236) (-712.082) [-665.776] -- 0:20:39
Average standard deviation of split frequencies: 0.034923
266000 -- (-721.480) (-706.641) (-717.522) [-660.178] * (-718.792) (-717.617) (-707.242) [-656.408] -- 0:20:38
267000 -- (-718.259) (-709.036) (-718.927) [-665.039] * (-724.967) (-715.141) (-718.556) [-656.168] -- 0:20:38
268000 -- (-710.953) (-711.913) (-713.270) [-666.396] * (-720.216) (-716.183) (-725.081) [-659.338] -- 0:20:34
269000 -- (-713.798) (-704.501) (-715.737) [-652.054] * (-714.293) (-714.824) (-726.985) [-659.232] -- 0:20:33
270000 -- (-716.581) (-705.698) (-717.219) [-653.599] * (-705.749) (-729.199) (-721.907) [-657.938] -- 0:20:32
Average standard deviation of split frequencies: 0.032743
271000 -- (-717.965) (-702.990) (-713.310) [-655.623] * (-712.666) (-725.586) (-723.991) [-658.254] -- 0:20:29
272000 -- (-729.298) (-709.605) (-720.806) [-664.802] * (-712.139) (-714.939) (-706.278) [-658.215] -- 0:20:28
273000 -- (-716.548) (-711.665) (-727.970) [-662.045] * (-694.822) (-731.388) (-712.334) [-659.747] -- 0:20:27
274000 -- (-720.995) (-706.696) (-722.518) [-668.683] * (-688.404) (-727.636) (-716.923) [-665.907] -- 0:20:24
275000 -- (-708.900) (-701.287) (-719.240) [-658.299] * (-701.762) (-714.229) (-711.467) [-663.698] -- 0:20:23
Average standard deviation of split frequencies: 0.031037
276000 -- (-706.711) (-696.517) (-704.955) [-664.940] * (-711.005) (-718.670) (-717.500) [-658.835] -- 0:20:22
277000 -- (-704.674) (-707.310) (-708.374) [-666.395] * (-712.812) (-717.656) (-715.064) [-655.462] -- 0:20:21
278000 -- (-710.607) (-716.416) (-697.533) [-658.104] * (-708.661) (-716.329) (-708.682) [-657.535] -- 0:20:18
279000 -- (-710.237) (-699.633) (-704.481) [-666.985] * (-706.367) (-713.906) (-703.207) [-656.530] -- 0:20:17
280000 -- (-707.627) (-701.974) (-700.092) [-675.886] * (-706.847) (-718.921) (-721.265) [-664.885] -- 0:20:16
Average standard deviation of split frequencies: 0.029113
281000 -- (-711.053) (-715.088) (-703.920) [-673.387] * (-694.572) (-712.831) (-723.159) [-656.949] -- 0:20:12
282000 -- (-716.026) (-712.953) (-701.169) [-669.554] * (-700.674) (-727.039) (-716.664) [-657.456] -- 0:20:11
283000 -- (-719.311) (-702.384) (-704.475) [-661.172] * (-706.759) (-710.343) (-703.368) [-654.422] -- 0:20:11
284000 -- (-722.534) (-707.491) (-718.073) [-662.975] * (-707.405) (-718.949) (-713.861) [-662.433] -- 0:20:07
285000 -- (-741.636) (-711.616) (-722.066) [-662.785] * (-698.961) (-712.821) (-714.060) [-667.385] -- 0:20:06
Average standard deviation of split frequencies: 0.027126
286000 -- (-721.907) (-703.484) (-713.508) [-664.863] * (-711.308) (-712.481) (-719.133) [-671.825] -- 0:20:05
287000 -- (-713.126) (-710.118) (-723.273) [-660.600] * (-710.808) (-702.354) (-712.389) [-671.945] -- 0:20:02
288000 -- (-727.033) (-714.084) (-721.784) [-658.678] * (-707.439) (-696.784) (-714.629) [-668.226] -- 0:20:01
289000 -- (-716.307) (-712.977) (-719.069) [-654.411] * (-704.869) (-708.080) (-731.959) [-664.850] -- 0:20:00
290000 -- (-711.188) (-704.753) (-714.130) [-658.535] * (-703.726) (-706.892) (-730.800) [-667.898] -- 0:19:57
Average standard deviation of split frequencies: 0.026690
291000 -- (-715.737) (-704.022) (-718.547) [-657.779] * (-713.814) (-702.692) (-728.668) [-666.202] -- 0:19:56
292000 -- (-718.700) (-706.936) (-721.184) [-656.596] * (-715.238) (-705.076) (-724.651) [-660.997] -- 0:19:52
293000 -- (-719.338) (-712.325) (-709.061) [-651.286] * (-716.292) (-704.159) (-718.217) [-664.117] -- 0:19:52
294000 -- (-739.632) (-714.048) (-715.514) [-653.130] * (-704.495) (-713.117) (-725.701) [-671.719] -- 0:19:51
295000 -- (-739.356) (-708.115) (-705.902) [-661.093] * (-699.411) (-712.449) (-722.425) [-664.972] -- 0:19:50
Average standard deviation of split frequencies: 0.026652
296000 -- (-722.685) (-723.083) (-713.877) [-671.723] * (-694.215) (-718.328) (-726.303) [-664.655] -- 0:19:46
297000 -- (-728.370) (-712.018) (-710.998) [-679.210] * (-700.378) (-711.707) (-702.509) [-678.535] -- 0:19:45
298000 -- (-734.105) (-701.731) (-707.606) [-666.979] * (-700.860) (-700.234) (-708.121) [-675.472] -- 0:19:42
299000 -- (-728.763) (-702.924) (-709.572) [-668.258] * (-715.089) (-714.036) (-706.146) [-674.049] -- 0:19:41
300000 -- (-733.791) (-705.031) (-707.415) [-663.700] * (-714.095) (-702.013) (-698.818) [-667.259] -- 0:19:40
Average standard deviation of split frequencies: 0.026561
301000 -- (-719.298) (-707.908) (-715.890) [-666.428] * (-715.213) (-716.979) (-702.201) [-661.065] -- 0:19:37
302000 -- (-727.109) (-709.366) (-711.322) [-659.216] * (-709.458) (-717.723) (-708.283) [-666.538] -- 0:19:36
303000 -- (-723.398) (-715.642) (-711.601) [-660.704] * (-703.720) (-706.428) (-702.212) [-664.171] -- 0:19:35
304000 -- (-717.597) (-714.587) (-720.625) [-656.878] * (-710.117) (-721.280) (-712.976) [-658.529] -- 0:19:34
305000 -- (-722.484) (-709.320) (-723.492) [-656.346] * (-727.090) (-716.116) (-713.248) [-663.768] -- 0:19:31
Average standard deviation of split frequencies: 0.026099
306000 -- (-733.991) (-712.797) (-715.800) [-661.196] * (-703.412) (-708.695) (-702.999) [-661.965] -- 0:19:30
307000 -- (-734.338) (-718.888) (-711.343) [-656.271] * (-725.194) (-705.785) (-708.219) [-662.858] -- 0:19:29
308000 -- (-728.038) (-713.983) (-718.683) [-654.515] * (-729.996) (-710.709) (-709.608) [-664.172] -- 0:19:28
309000 -- (-722.226) (-715.521) (-723.782) [-659.233] * (-729.094) (-704.149) (-712.509) [-661.377] -- 0:19:25
310000 -- (-728.808) (-714.127) (-728.766) [-669.480] * (-717.724) (-705.271) (-704.417) [-663.783] -- 0:19:24
Average standard deviation of split frequencies: 0.025394
311000 -- (-706.709) (-709.892) (-715.790) [-659.881] * (-708.599) (-706.319) (-702.155) [-669.353] -- 0:19:23
312000 -- (-721.798) (-711.730) (-712.629) [-658.593] * (-710.667) (-707.305) (-713.233) [-663.485] -- 0:19:19
313000 -- (-722.171) (-713.793) (-721.413) [-659.883] * (-715.267) (-696.449) (-708.381) [-655.214] -- 0:19:18
314000 -- (-729.142) (-712.988) (-727.212) [-656.212] * (-715.507) (-705.563) (-711.545) [-656.620] -- 0:19:17
315000 -- (-714.303) (-716.828) (-724.027) [-656.959] * (-725.107) (-699.015) (-716.055) [-663.727] -- 0:19:16
Average standard deviation of split frequencies: 0.024263
316000 -- (-716.835) (-715.240) (-729.674) [-654.495] * (-722.210) (-695.723) (-719.297) [-670.754] -- 0:19:15
317000 -- (-713.711) (-717.150) (-734.410) [-669.308] * (-714.646) (-708.864) (-705.983) [-676.309] -- 0:19:12
318000 -- (-708.216) (-705.824) (-742.387) [-662.216] * (-712.457) (-707.993) (-708.976) [-670.717] -- 0:19:11
319000 -- (-707.180) (-721.444) (-729.012) [-666.777] * (-718.175) (-701.908) (-717.180) [-658.896] -- 0:19:10
320000 -- (-714.131) (-713.841) (-733.676) [-664.886] * (-720.334) (-695.502) (-720.106) [-658.783] -- 0:19:07
Average standard deviation of split frequencies: 0.025083
321000 -- (-709.931) (-720.700) (-736.281) [-664.430] * (-726.999) (-701.167) (-711.261) [-666.102] -- 0:19:06
322000 -- (-701.934) (-735.493) (-727.237) [-669.261] * (-713.557) (-712.386) (-713.852) [-664.032] -- 0:19:05
323000 -- (-707.040) (-730.098) (-727.890) [-672.503] * (-724.161) (-708.131) (-721.456) [-668.020] -- 0:19:02
324000 -- (-709.587) (-718.571) (-728.926) [-663.802] * (-711.878) (-702.350) (-716.842) [-668.529] -- 0:19:01
325000 -- (-701.171) (-715.248) (-720.682) [-672.657] * (-707.656) (-701.878) (-733.967) [-673.236] -- 0:19:00
Average standard deviation of split frequencies: 0.024718
326000 -- (-706.476) (-721.493) (-725.673) [-665.592] * (-712.601) (-713.226) (-731.368) [-663.781] -- 0:18:57
327000 -- (-708.792) (-714.869) (-719.957) [-668.907] * (-705.989) (-714.331) (-723.964) [-668.767] -- 0:18:56
328000 -- (-703.705) (-712.475) (-719.215) [-664.541] * (-711.956) (-705.543) (-724.167) [-668.388] -- 0:18:55
329000 -- (-712.227) (-713.219) (-721.583) [-668.044] * (-719.273) (-705.299) (-707.085) [-677.706] -- 0:18:51
330000 -- (-712.588) (-711.355) (-733.366) [-671.099] * (-713.840) (-715.472) (-711.641) [-669.563] -- 0:18:50
Average standard deviation of split frequencies: 0.025618
331000 -- (-717.531) (-715.470) (-718.052) [-677.073] * (-717.560) (-712.164) (-710.406) [-658.310] -- 0:18:49
332000 -- (-712.886) (-709.999) (-720.440) [-672.311] * (-713.773) (-713.674) (-713.364) [-650.793] -- 0:18:46
333000 -- (-705.636) (-709.561) (-712.481) [-672.519] * (-712.573) (-708.617) (-727.686) [-662.852] -- 0:18:45
334000 -- (-713.373) (-710.348) (-714.425) [-665.732] * (-713.653) (-713.135) (-724.336) [-660.718] -- 0:18:44
335000 -- (-716.573) (-705.155) (-715.155) [-658.460] * (-726.068) (-709.681) (-719.940) [-657.518] -- 0:18:41
Average standard deviation of split frequencies: 0.025424
336000 -- (-708.965) (-709.421) (-720.099) [-662.524] * (-727.705) (-716.950) (-716.152) [-654.400] -- 0:18:40
337000 -- (-705.881) (-711.762) (-713.674) [-659.210] * (-721.394) (-711.028) (-712.105) [-654.946] -- 0:18:39
338000 -- (-706.387) (-720.152) (-709.649) [-657.385] * (-716.876) (-717.081) (-717.910) [-656.559] -- 0:18:36
339000 -- (-708.673) (-723.264) (-704.891) [-659.285] * (-704.821) (-710.955) (-734.847) [-661.057] -- 0:18:35
340000 -- (-710.580) (-721.177) (-709.258) [-654.830] * (-695.416) (-716.742) (-733.226) [-664.112] -- 0:18:32
Average standard deviation of split frequencies: 0.024321
341000 -- (-715.579) (-715.522) (-702.009) [-662.640] * (-699.019) (-723.845) (-735.041) [-653.924] -- 0:18:31
342000 -- (-714.788) (-726.997) (-719.404) [-667.181] * (-705.035) (-744.258) (-738.831) [-656.566] -- 0:18:30
343000 -- (-710.527) (-735.846) (-723.324) [-669.046] * (-700.447) (-712.601) (-722.719) [-658.586] -- 0:18:27
344000 -- (-718.000) (-728.669) (-716.021) [-666.746] * (-694.880) (-721.989) (-729.530) [-663.760] -- 0:18:26
345000 -- (-720.219) (-734.940) (-720.374) [-667.578] * (-709.260) (-709.138) (-730.469) [-668.019] -- 0:18:24
Average standard deviation of split frequencies: 0.023574
346000 -- (-716.313) (-729.819) (-720.039) [-669.914] * (-707.435) (-700.427) (-733.866) [-663.745] -- 0:18:23
347000 -- (-713.631) (-711.227) (-722.071) [-665.486] * (-713.484) (-702.408) (-716.935) [-658.501] -- 0:18:20
348000 -- (-720.952) (-708.971) (-714.276) [-668.731] * (-707.817) (-711.036) (-721.671) [-660.772] -- 0:18:19
349000 -- (-717.132) (-708.639) (-709.884) [-665.233] * (-705.368) (-710.142) (-726.603) [-660.336] -- 0:18:16
350000 -- (-709.403) (-713.738) (-696.104) [-658.320] * (-711.767) (-715.487) (-720.124) [-664.878] -- 0:18:15
Average standard deviation of split frequencies: 0.023912
351000 -- (-716.778) (-710.454) (-704.588) [-650.813] * (-710.200) (-706.351) (-725.914) [-658.101] -- 0:18:14
352000 -- (-726.575) (-709.566) (-699.295) [-655.091] * (-706.718) (-711.055) (-717.321) [-668.064] -- 0:18:13
353000 -- (-733.137) (-700.224) (-714.339) [-658.809] * (-710.156) (-708.077) (-725.846) [-658.817] -- 0:18:10
354000 -- (-720.486) (-703.563) (-718.688) [-663.175] * (-710.402) (-704.783) (-705.120) [-665.922] -- 0:18:09
355000 -- (-722.156) (-707.474) (-720.723) [-660.865] * (-710.158) (-716.994) (-709.003) [-667.015] -- 0:18:08
Average standard deviation of split frequencies: 0.024357
356000 -- (-723.407) (-716.882) (-717.958) [-647.498] * (-707.238) (-729.214) (-708.174) [-673.175] -- 0:18:07
357000 -- (-728.354) (-713.696) (-724.369) [-646.442] * (-696.767) (-723.293) (-717.971) [-672.863] -- 0:18:04
358000 -- (-723.510) (-722.691) (-718.755) [-656.223] * (-696.550) (-725.545) (-713.395) [-667.453] -- 0:18:03
359000 -- (-717.504) (-713.198) (-716.250) [-660.032] * (-691.499) (-731.386) (-713.331) [-670.671] -- 0:18:02
360000 -- (-711.582) (-715.010) (-705.664) [-664.674] * (-692.968) (-726.643) (-719.681) [-666.732] -- 0:17:59
Average standard deviation of split frequencies: 0.024279
361000 -- (-713.028) (-720.329) (-703.574) [-662.148] * (-703.350) (-712.993) (-708.761) [-668.205] -- 0:17:57
362000 -- (-721.778) (-713.103) (-712.366) [-666.498] * (-700.735) (-706.364) (-721.020) [-668.155] -- 0:17:56
363000 -- (-727.107) (-711.927) (-711.881) [-670.279] * (-705.377) (-718.476) (-721.109) [-661.563] -- 0:17:55
364000 -- (-721.841) (-706.125) (-706.221) [-668.856] * (-711.215) (-721.488) (-724.087) [-662.197] -- 0:17:52
365000 -- (-717.527) (-709.157) (-706.703) [-663.992] * (-713.143) (-713.246) (-720.598) [-660.193] -- 0:17:51
Average standard deviation of split frequencies: 0.023886
366000 -- (-712.087) (-710.221) (-719.222) [-670.382] * (-716.727) (-720.965) (-715.238) [-665.898] -- 0:17:50
367000 -- (-713.911) (-709.043) (-717.986) [-675.614] * (-716.192) (-716.602) (-716.261) [-666.340] -- 0:17:47
368000 -- (-714.296) (-709.102) (-709.812) [-660.855] * (-725.044) (-718.904) (-704.552) [-666.003] -- 0:17:46
369000 -- (-714.565) (-706.869) (-711.658) [-671.712] * (-719.352) (-716.019) (-711.247) [-671.720] -- 0:17:45
370000 -- (-721.531) (-700.184) (-715.966) [-674.034] * (-717.796) (-715.811) (-714.426) [-667.599] -- 0:17:44
Average standard deviation of split frequencies: 0.022518
371000 -- (-720.612) (-715.789) (-717.010) [-667.216] * (-718.810) (-724.954) (-724.122) [-671.401] -- 0:17:41
372000 -- (-729.063) (-713.551) (-726.707) [-664.567] * (-713.915) (-725.855) (-723.611) [-675.612] -- 0:17:40
373000 -- (-721.852) (-714.289) (-724.296) [-667.904] * (-721.362) (-717.093) (-728.140) [-668.405] -- 0:17:39
374000 -- (-719.008) (-710.190) (-712.629) [-661.905] * (-720.604) (-728.992) (-724.075) [-661.824] -- 0:17:36
375000 -- (-718.294) (-714.546) (-726.494) [-656.367] * (-718.401) (-730.103) (-714.310) [-667.289] -- 0:17:35
Average standard deviation of split frequencies: 0.020820
376000 -- (-728.861) (-708.739) (-723.251) [-662.957] * (-702.613) (-721.572) (-721.790) [-664.216] -- 0:17:33
377000 -- (-718.485) (-711.268) (-727.237) [-657.473] * (-696.456) (-716.863) (-723.627) [-662.822] -- 0:17:31
378000 -- (-706.968) (-714.206) (-722.779) [-656.515] * (-714.174) (-715.613) (-722.551) [-666.160] -- 0:17:29
379000 -- (-712.718) (-720.404) (-722.999) [-663.901] * (-707.211) (-710.530) (-725.533) [-667.282] -- 0:17:28
380000 -- (-714.014) (-708.722) (-713.738) [-667.422] * (-710.946) (-713.369) (-712.306) [-661.005] -- 0:17:27
Average standard deviation of split frequencies: 0.021202
381000 -- (-711.476) (-726.428) (-715.872) [-663.982] * (-720.247) (-708.208) (-729.523) [-660.762] -- 0:17:24
382000 -- (-718.515) (-721.645) (-712.192) [-668.032] * (-722.383) (-716.979) (-732.193) [-663.744] -- 0:17:23
383000 -- (-733.922) (-724.475) (-719.097) [-659.738] * (-729.182) (-712.294) (-731.273) [-658.189] -- 0:17:22
384000 -- (-734.668) (-729.037) (-735.774) [-661.666] * (-711.382) (-718.551) (-726.179) [-660.117] -- 0:17:19
385000 -- (-740.580) (-711.427) (-740.256) [-665.854] * (-730.077) (-715.554) (-735.049) [-660.979] -- 0:17:18
Average standard deviation of split frequencies: 0.022234
386000 -- (-720.999) (-704.102) (-728.992) [-668.884] * (-718.687) (-707.926) (-725.524) [-664.216] -- 0:17:17
387000 -- (-721.093) (-709.522) (-719.437) [-667.242] * (-715.554) (-701.354) (-736.070) [-658.170] -- 0:17:14
388000 -- (-716.660) (-715.127) (-719.851) [-672.173] * (-731.263) (-707.600) (-720.022) [-658.976] -- 0:17:13
389000 -- (-723.561) (-717.491) (-709.582) [-667.082] * (-714.928) (-695.355) (-717.752) [-666.912] -- 0:17:11
390000 -- (-735.794) (-715.821) (-704.063) [-661.296] * (-703.039) (-711.026) (-709.597) [-668.439] -- 0:17:09
Average standard deviation of split frequencies: 0.022394
391000 -- (-723.804) (-715.369) (-711.025) [-653.735] * (-706.116) (-716.298) (-722.753) [-661.343] -- 0:17:07
392000 -- (-727.771) (-707.714) (-700.976) [-656.286] * (-711.378) (-713.285) (-714.248) [-652.157] -- 0:17:06
393000 -- (-728.226) (-698.169) (-699.454) [-666.186] * (-711.675) (-714.372) (-719.837) [-647.984] -- 0:17:04
394000 -- (-736.434) (-711.196) (-712.702) [-658.131] * (-708.567) (-724.626) (-717.651) [-645.120] -- 0:17:02
395000 -- (-735.408) (-708.179) (-704.903) [-660.587] * (-704.226) (-701.859) (-700.635) [-654.242] -- 0:17:01
Average standard deviation of split frequencies: 0.021824
396000 -- (-730.309) (-712.969) (-707.524) [-657.888] * (-699.480) (-706.596) (-717.112) [-660.205] -- 0:16:58
397000 -- (-715.036) (-707.945) (-721.766) [-661.227] * (-702.446) (-706.216) (-716.965) [-655.790] -- 0:16:57
398000 -- (-729.314) (-705.938) (-715.980) [-659.575] * (-695.691) (-708.727) (-715.439) [-661.766] -- 0:16:56
399000 -- (-729.021) (-714.122) (-718.905) [-657.551] * (-705.805) (-709.407) (-713.918) [-657.495] -- 0:16:55
400000 -- (-738.185) (-706.992) (-716.617) [-659.831] * (-707.969) (-711.546) (-716.602) [-662.638] -- 0:16:52
Average standard deviation of split frequencies: 0.022134
401000 -- (-739.315) (-711.825) (-700.647) [-657.812] * (-724.236) (-713.698) (-728.410) [-655.066] -- 0:16:51
402000 -- (-733.497) (-705.154) (-716.825) [-662.645] * (-707.844) (-716.859) (-731.394) [-655.645] -- 0:16:50
403000 -- (-723.553) (-705.289) (-716.116) [-663.301] * (-706.494) (-716.974) (-734.469) [-657.352] -- 0:16:48
404000 -- (-732.135) (-717.569) (-716.966) [-663.235] * (-708.797) (-709.305) (-716.100) [-659.304] -- 0:16:46
405000 -- (-727.265) (-705.560) (-721.543) [-667.204] * (-714.954) (-710.944) (-728.040) [-662.195] -- 0:16:44
Average standard deviation of split frequencies: 0.021625
406000 -- (-742.092) (-705.417) (-714.238) [-651.599] * (-712.153) (-714.563) (-730.895) [-663.240] -- 0:16:42
407000 -- (-737.679) (-713.206) (-722.071) [-655.455] * (-713.313) (-721.443) (-719.644) [-669.097] -- 0:16:40
408000 -- (-729.874) (-703.403) (-731.058) [-661.383] * (-714.179) (-727.518) (-720.902) [-668.739] -- 0:16:39
409000 -- (-734.996) (-703.041) (-726.986) [-658.979] * (-708.930) (-737.411) (-727.303) [-663.333] -- 0:16:38
410000 -- (-721.232) (-709.731) (-721.058) [-662.941] * (-703.276) (-741.393) (-714.600) [-656.168] -- 0:16:37
Average standard deviation of split frequencies: 0.021057
411000 -- (-713.131) (-714.582) (-714.189) [-656.640] * (-708.952) (-746.802) (-715.842) [-662.340] -- 0:16:34
412000 -- (-712.358) (-705.794) (-706.304) [-660.185] * (-710.851) (-729.670) (-723.205) [-674.282] -- 0:16:33
413000 -- (-705.590) (-705.263) (-720.442) [-668.094] * (-712.935) (-728.959) (-733.036) [-667.660] -- 0:16:32
414000 -- (-716.617) (-704.630) (-717.796) [-657.901] * (-708.720) (-736.004) (-732.374) [-661.970] -- 0:16:29
415000 -- (-719.275) (-700.867) (-716.745) [-664.912] * (-709.548) (-718.961) (-737.136) [-663.854] -- 0:16:28
Average standard deviation of split frequencies: 0.021256
416000 -- (-714.388) (-702.140) (-716.835) [-671.534] * (-708.081) (-719.561) (-739.928) [-654.423] -- 0:16:26
417000 -- (-719.555) (-705.354) (-722.295) [-655.800] * (-698.997) (-723.299) (-734.076) [-661.694] -- 0:16:24
418000 -- (-712.352) (-695.067) (-722.963) [-655.295] * (-700.367) (-729.314) (-720.029) [-661.087] -- 0:16:22
419000 -- (-718.060) (-715.846) (-709.681) [-655.134] * (-702.937) (-729.116) (-727.272) [-667.899] -- 0:16:21
420000 -- (-721.176) (-705.668) (-713.069) [-654.303] * (-711.504) (-718.618) (-712.406) [-664.119] -- 0:16:19
Average standard deviation of split frequencies: 0.020171
421000 -- (-730.842) (-704.404) (-715.658) [-652.216] * (-713.540) (-716.612) (-729.596) [-660.852] -- 0:16:17
422000 -- (-719.089) (-703.195) (-718.348) [-653.357] * (-714.316) (-710.232) (-721.768) [-652.869] -- 0:16:16
423000 -- (-739.655) (-695.630) (-724.691) [-661.075] * (-714.281) (-719.494) (-745.420) [-656.121] -- 0:16:13
424000 -- (-734.775) (-696.954) (-724.843) [-663.659] * (-709.969) (-736.580) (-727.899) [-659.947] -- 0:16:12
425000 -- (-737.841) (-693.107) (-721.815) [-664.900] * (-721.118) (-723.509) (-732.742) [-664.711] -- 0:16:11
Average standard deviation of split frequencies: 0.020254
426000 -- (-728.360) (-688.853) (-720.212) [-669.344] * (-709.225) (-730.795) (-723.639) [-663.498] -- 0:16:10
427000 -- (-716.250) (-700.745) (-735.445) [-672.016] * (-712.778) (-733.457) (-724.355) [-671.424] -- 0:16:07
428000 -- (-720.786) (-698.670) (-710.176) [-669.018] * (-721.767) (-722.248) (-736.249) [-658.166] -- 0:16:06
429000 -- (-732.820) (-707.131) (-716.959) [-656.064] * (-720.342) (-711.502) (-714.841) [-664.371] -- 0:16:04
430000 -- (-711.256) (-702.966) (-722.964) [-652.115] * (-716.598) (-710.405) (-733.835) [-659.784] -- 0:16:02
Average standard deviation of split frequencies: 0.020300
431000 -- (-708.717) (-702.000) (-725.071) [-659.240] * (-714.400) (-714.499) (-719.810) [-658.858] -- 0:16:01
432000 -- (-706.321) (-703.111) (-719.773) [-663.596] * (-709.302) (-720.584) (-714.832) [-657.629] -- 0:15:58
433000 -- (-702.936) (-702.652) (-717.360) [-664.563] * (-707.890) (-720.399) (-729.090) [-660.847] -- 0:15:57
434000 -- (-716.982) (-719.043) (-710.749) [-661.247] * (-700.258) (-721.967) (-717.452) [-662.895] -- 0:15:55
435000 -- (-706.278) (-726.377) (-699.651) [-661.346] * (-697.459) (-727.239) (-720.630) [-663.992] -- 0:15:53
Average standard deviation of split frequencies: 0.020510
436000 -- (-707.128) (-730.435) (-702.487) [-655.426] * (-694.740) (-729.228) (-717.921) [-656.751] -- 0:15:52
437000 -- (-713.134) (-723.706) (-695.820) [-657.253] * (-705.408) (-733.399) (-718.149) [-656.150] -- 0:15:50
438000 -- (-713.066) (-716.902) (-702.848) [-662.229] * (-698.132) (-726.448) (-714.463) [-665.592] -- 0:15:48
439000 -- (-715.572) (-708.886) (-701.744) [-652.868] * (-699.156) (-727.964) (-721.198) [-662.388] -- 0:15:46
440000 -- (-712.811) (-726.675) (-696.450) [-654.121] * (-702.641) (-711.283) (-715.629) [-675.083] -- 0:15:45
Average standard deviation of split frequencies: 0.019223
441000 -- (-723.439) (-724.215) (-708.553) [-671.312] * (-713.873) (-711.558) (-742.580) [-662.416] -- 0:15:44
442000 -- (-716.202) (-711.287) (-713.796) [-665.773] * (-715.099) (-714.756) (-735.503) [-655.528] -- 0:15:41
443000 -- (-715.662) (-711.192) (-708.151) [-655.996] * (-709.663) (-709.073) (-726.004) [-664.934] -- 0:15:40
444000 -- (-733.918) (-710.260) (-702.518) [-659.311] * (-700.568) (-705.866) (-726.418) [-667.620] -- 0:15:37
445000 -- (-706.525) (-707.631) (-710.270) [-665.184] * (-701.635) (-710.551) (-715.741) [-673.904] -- 0:15:36
Average standard deviation of split frequencies: 0.019602
446000 -- (-707.576) (-705.185) (-704.423) [-668.507] * (-699.740) (-704.479) (-705.807) [-672.161] -- 0:15:34
447000 -- (-709.377) (-718.299) (-708.786) [-668.606] * (-707.996) (-702.106) (-715.177) [-672.607] -- 0:15:32
448000 -- (-711.702) (-713.020) (-712.379) [-665.899] * (-706.100) (-718.408) (-718.775) [-675.905] -- 0:15:31
449000 -- (-709.612) (-712.206) (-717.717) [-661.504] * (-705.213) (-712.683) (-709.850) [-679.603] -- 0:15:28
450000 -- (-703.765) (-709.485) (-724.120) [-658.857] * (-704.606) (-720.115) (-710.560) [-668.667] -- 0:15:27
Average standard deviation of split frequencies: 0.020698
451000 -- (-707.398) (-711.125) (-721.169) [-656.757] * (-708.295) (-717.357) (-710.144) [-671.869] -- 0:15:26
452000 -- (-701.183) (-715.311) (-717.202) [-656.836] * (-704.859) (-721.896) (-702.131) [-663.587] -- 0:15:25
453000 -- (-705.564) (-712.908) (-717.084) [-658.143] * (-702.148) (-718.550) (-715.492) [-661.636] -- 0:15:22
454000 -- (-708.841) (-720.014) (-718.458) [-661.999] * (-707.632) (-716.894) (-733.433) [-658.710] -- 0:15:21
455000 -- (-707.204) (-719.150) (-726.109) [-661.991] * (-705.743) (-713.040) (-726.515) [-667.336] -- 0:15:19
Average standard deviation of split frequencies: 0.022148
456000 -- (-709.376) (-722.542) (-725.398) [-660.411] * (-706.978) (-728.768) (-730.997) [-661.172] -- 0:15:18
457000 -- (-709.855) (-722.932) (-715.199) [-669.965] * (-703.954) (-722.343) (-732.324) [-663.709] -- 0:15:17
458000 -- (-711.448) (-723.917) (-715.842) [-670.554] * (-707.977) (-737.879) (-717.089) [-666.211] -- 0:15:14
459000 -- (-705.680) (-727.721) (-706.568) [-666.303] * (-701.061) (-733.179) (-708.715) [-670.308] -- 0:15:13
460000 -- (-703.636) (-719.586) (-712.397) [-669.602] * (-701.774) (-723.572) (-710.740) [-670.368] -- 0:15:12
Average standard deviation of split frequencies: 0.023102
461000 -- (-710.124) (-718.977) (-712.086) [-666.051] * (-708.114) (-722.320) (-714.322) [-667.935] -- 0:15:09
462000 -- (-704.234) (-723.703) (-709.197) [-669.471] * (-698.386) (-710.369) (-709.075) [-660.937] -- 0:15:08
463000 -- (-715.601) (-727.454) (-706.858) [-673.995] * (-692.001) (-721.897) (-714.177) [-665.875] -- 0:15:06
464000 -- (-710.701) (-719.709) (-717.850) [-675.809] * (-696.598) (-714.587) (-718.364) [-670.911] -- 0:15:04
465000 -- (-719.974) (-720.445) (-712.461) [-669.421] * (-698.253) (-716.993) (-717.670) [-658.706] -- 0:15:03
Average standard deviation of split frequencies: 0.024861
466000 -- (-704.891) (-725.656) (-715.920) [-669.111] * (-697.551) (-715.944) (-706.268) [-666.012] -- 0:15:01
467000 -- (-718.076) (-713.473) (-719.281) [-665.266] * (-698.117) (-718.106) (-717.828) [-667.100] -- 0:14:59
468000 -- (-716.636) (-717.662) (-708.900) [-673.198] * (-691.235) (-719.777) (-715.022) [-666.618] -- 0:14:58
469000 -- (-727.306) (-710.139) (-713.831) [-672.441] * (-694.177) (-721.207) (-709.795) [-672.303] -- 0:14:56
470000 -- (-724.609) (-698.799) (-705.654) [-676.692] * (-695.875) (-717.125) (-710.016) [-668.442] -- 0:14:54
Average standard deviation of split frequencies: 0.026891
471000 -- (-715.761) (-707.461) (-698.572) [-667.997] * (-693.679) (-725.713) (-713.823) [-662.640] -- 0:14:52
472000 -- (-709.516) (-705.630) (-700.540) [-673.966] * (-693.747) (-717.217) (-708.167) [-668.739] -- 0:14:51
473000 -- (-713.938) (-701.146) (-703.812) [-670.799] * (-692.287) (-726.360) (-709.597) [-668.825] -- 0:14:49
474000 -- (-721.381) (-709.378) (-690.714) [-671.271] * (-709.361) (-714.677) (-709.152) [-658.424] -- 0:14:47
475000 -- (-723.645) (-722.523) (-703.479) [-664.992] * (-723.124) (-709.430) (-726.858) [-670.626] -- 0:14:46
Average standard deviation of split frequencies: 0.027430
476000 -- (-715.199) (-727.590) (-695.224) [-663.763] * (-709.451) (-708.592) (-720.045) [-664.902] -- 0:14:45
477000 -- (-712.198) (-723.153) (-701.586) [-668.768] * (-707.243) (-719.375) (-727.948) [-668.998] -- 0:14:42
478000 -- (-715.097) (-717.092) (-701.805) [-677.484] * (-711.520) (-712.126) (-713.635) [-672.645] -- 0:14:41
479000 -- (-723.535) (-714.565) (-703.777) [-676.666] * (-704.914) (-717.436) (-712.622) [-663.836] -- 0:14:39
480000 -- (-720.151) (-713.447) (-709.344) [-676.280] * (-706.027) (-719.912) (-713.568) [-664.227] -- 0:14:38
Average standard deviation of split frequencies: 0.027547
481000 -- (-717.345) (-699.860) (-705.329) [-682.042] * (-711.778) (-709.838) (-720.073) [-670.587] -- 0:14:36
482000 -- (-718.717) (-707.310) (-706.684) [-668.211] * (-708.958) (-724.349) (-712.160) [-660.807] -- 0:14:34
483000 -- (-725.960) (-707.093) (-699.670) [-670.322] * (-709.084) (-729.108) (-711.128) [-657.828] -- 0:14:33
484000 -- (-724.454) (-706.787) (-708.374) [-674.579] * (-714.675) (-725.177) (-727.847) [-663.223] -- 0:14:32
485000 -- (-724.643) (-719.747) (-700.300) [-674.163] * (-715.902) (-709.624) (-711.910) [-676.862] -- 0:14:29
Average standard deviation of split frequencies: 0.026718
486000 -- (-714.406) (-725.047) (-700.266) [-675.775] * (-721.689) (-705.675) (-722.075) [-673.287] -- 0:14:28
487000 -- (-720.617) (-717.935) (-695.183) [-687.528] * (-708.339) (-705.974) (-713.129) [-656.126] -- 0:14:26
488000 -- (-718.967) (-739.139) (-704.907) [-677.205] * (-698.966) (-708.911) (-701.605) [-656.506] -- 0:14:24
489000 -- (-718.703) (-745.447) (-704.794) [-668.066] * (-702.696) (-717.205) (-708.482) [-664.102] -- 0:14:23
490000 -- (-710.631) (-715.656) (-710.536) [-665.207] * (-696.093) (-709.323) (-709.104) [-660.550] -- 0:14:21
Average standard deviation of split frequencies: 0.025707
491000 -- (-712.979) (-709.178) (-701.965) [-667.004] * (-700.153) (-714.407) (-703.213) [-663.667] -- 0:14:20
492000 -- (-713.967) (-701.888) (-699.383) [-667.723] * (-697.123) (-709.573) (-705.946) [-662.220] -- 0:14:18
493000 -- (-710.503) (-709.402) (-700.530) [-674.445] * (-688.791) (-723.994) (-703.445) [-656.713] -- 0:14:16
494000 -- (-707.084) (-709.611) (-697.107) [-673.909] * (-688.816) (-729.305) (-708.287) [-656.860] -- 0:14:15
495000 -- (-704.331) (-712.856) (-696.388) [-666.804] * (-703.325) (-713.447) (-707.377) [-659.956] -- 0:14:12
Average standard deviation of split frequencies: 0.024394
496000 -- (-705.904) (-707.204) (-705.818) [-653.454] * (-710.862) (-712.767) (-704.491) [-662.822] -- 0:14:11
497000 -- (-713.650) (-720.239) (-700.275) [-660.235] * (-706.162) (-717.189) (-718.001) [-656.096] -- 0:14:10
498000 -- (-717.592) (-723.795) (-700.349) [-670.653] * (-703.868) (-711.531) (-702.361) [-664.978] -- 0:14:07
499000 -- (-718.454) (-730.294) (-694.175) [-665.531] * (-694.786) (-709.929) (-703.332) [-662.212] -- 0:14:06
500000 -- (-725.987) (-712.352) (-710.947) [-663.959] * (-703.626) (-713.262) (-713.380) [-659.228] -- 0:14:05
Average standard deviation of split frequencies: 0.023156
501000 -- (-716.661) (-712.485) (-700.410) [-663.675] * (-696.879) (-724.228) (-713.348) [-656.862] -- 0:14:02
502000 -- (-732.060) (-715.045) (-699.219) [-665.902] * (-703.723) (-712.630) (-709.391) [-660.192] -- 0:14:01
503000 -- (-719.798) (-712.381) (-701.492) [-662.045] * (-701.264) (-709.591) (-710.499) [-653.735] -- 0:13:59
504000 -- (-724.577) (-705.250) (-705.021) [-665.680] * (-696.703) (-707.984) (-715.431) [-656.949] -- 0:13:58
505000 -- (-734.394) (-714.186) (-709.789) [-665.064] * (-703.513) (-713.126) (-717.131) [-653.277] -- 0:13:56
Average standard deviation of split frequencies: 0.022039
506000 -- (-734.605) (-713.605) (-703.688) [-663.291] * (-704.734) (-699.007) (-715.379) [-646.134] -- 0:13:54
507000 -- (-722.155) (-714.898) (-709.081) [-662.046] * (-698.483) (-702.862) (-706.887) [-648.576] -- 0:13:53
508000 -- (-725.131) (-708.302) (-712.722) [-659.080] * (-708.504) (-710.528) (-718.833) [-651.608] -- 0:13:51
509000 -- (-745.834) (-713.282) (-711.486) [-659.899] * (-700.271) (-713.575) (-732.915) [-660.646] -- 0:13:49
510000 -- (-722.069) (-706.481) (-711.974) [-661.243] * (-697.719) (-701.435) (-721.636) [-666.547] -- 0:13:48
Average standard deviation of split frequencies: 0.020972
511000 -- (-739.173) (-705.874) (-712.398) [-661.856] * (-704.552) (-711.316) (-715.261) [-663.699] -- 0:13:46
512000 -- (-745.841) (-710.716) (-714.218) [-658.188] * (-704.890) (-707.912) (-724.511) [-671.524] -- 0:13:45
513000 -- (-749.089) (-705.835) (-712.689) [-663.210] * (-712.303) (-706.441) (-715.438) [-662.343] -- 0:13:43
514000 -- (-741.234) (-710.986) (-716.036) [-670.940] * (-699.973) (-702.062) (-715.014) [-661.734] -- 0:13:41
515000 -- (-737.622) (-699.470) (-711.952) [-669.435] * (-697.399) (-694.869) (-714.507) [-661.605] -- 0:13:40
Average standard deviation of split frequencies: 0.021454
516000 -- (-728.717) (-712.597) (-708.536) [-662.605] * (-706.820) (-701.227) (-715.776) [-667.019] -- 0:13:38
517000 -- (-725.718) (-712.640) (-724.645) [-663.265] * (-704.824) (-707.374) (-717.423) [-668.842] -- 0:13:36
518000 -- (-728.483) (-700.778) (-710.679) [-659.114] * (-714.920) (-707.200) (-730.562) [-664.397] -- 0:13:35
519000 -- (-728.949) (-709.819) (-714.055) [-666.228] * (-705.817) (-695.989) (-718.057) [-667.681] -- 0:13:33
520000 -- (-726.323) (-717.590) (-714.936) [-657.836] * (-713.579) (-695.139) (-701.452) [-670.304] -- 0:13:32
Average standard deviation of split frequencies: 0.022313
521000 -- (-705.051) (-711.925) (-705.379) [-660.180] * (-716.867) (-705.541) (-709.213) [-662.882] -- 0:13:29
522000 -- (-698.803) (-706.254) (-708.145) [-658.885] * (-717.709) (-692.758) (-714.787) [-664.294] -- 0:13:28
523000 -- (-704.876) (-719.244) (-705.044) [-660.586] * (-713.351) (-702.371) (-711.462) [-657.802] -- 0:13:27
524000 -- (-710.535) (-713.314) (-706.593) [-661.246] * (-720.794) (-699.711) (-711.872) [-658.840] -- 0:13:25
525000 -- (-719.276) (-718.087) (-706.852) [-657.967] * (-720.661) (-710.239) (-713.942) [-661.873] -- 0:13:23
Average standard deviation of split frequencies: 0.022545
526000 -- (-721.498) (-738.336) (-707.093) [-661.397] * (-707.999) (-719.273) (-702.780) [-663.877] -- 0:13:22
527000 -- (-706.640) (-718.806) (-708.038) [-662.971] * (-711.419) (-721.329) (-714.076) [-660.370] -- 0:13:20
528000 -- (-710.695) (-714.444) (-705.281) [-661.492] * (-714.476) (-704.243) (-707.053) [-661.882] -- 0:13:19
529000 -- (-715.741) (-713.701) (-713.642) [-664.748] * (-710.003) (-706.341) (-710.160) [-651.483] -- 0:13:16
530000 -- (-707.498) (-717.721) (-707.940) [-662.843] * (-712.277) (-704.629) (-709.909) [-654.828] -- 0:13:15
Average standard deviation of split frequencies: 0.022867
531000 -- (-724.373) (-724.199) (-694.869) [-666.220] * (-704.350) (-703.485) (-717.624) [-651.524] -- 0:13:14
532000 -- (-720.043) (-731.219) (-711.188) [-664.890] * (-708.050) (-700.630) (-715.264) [-656.772] -- 0:13:12
533000 -- (-728.145) (-720.924) (-718.594) [-661.377] * (-707.783) (-704.085) (-720.407) [-660.031] -- 0:13:10
534000 -- (-721.501) (-713.274) (-719.035) [-666.495] * (-704.680) (-707.661) (-715.418) [-662.565] -- 0:13:08
535000 -- (-715.809) (-711.710) (-722.688) [-660.007] * (-699.990) (-712.782) (-712.174) [-667.158] -- 0:13:07
Average standard deviation of split frequencies: 0.021732
536000 -- (-716.000) (-699.926) (-704.521) [-662.410] * (-696.023) (-724.976) (-710.723) [-662.678] -- 0:13:05
537000 -- (-720.258) (-707.744) (-713.199) [-666.095] * (-700.802) (-717.046) (-710.239) [-663.794] -- 0:13:03
538000 -- (-718.554) (-708.652) (-702.184) [-665.474] * (-695.490) (-713.637) (-716.505) [-662.993] -- 0:13:02
539000 -- (-730.236) (-708.739) (-715.410) [-660.110] * (-701.744) (-712.312) (-726.190) [-660.197] -- 0:13:00
540000 -- (-727.138) (-712.103) (-731.384) [-656.252] * (-706.184) (-704.785) (-716.336) [-666.845] -- 0:12:58
Average standard deviation of split frequencies: 0.020024
541000 -- (-706.344) (-712.174) (-733.637) [-658.253] * (-707.308) (-717.816) (-719.430) [-656.457] -- 0:12:57
542000 -- (-712.847) (-706.481) (-722.195) [-660.419] * (-708.725) (-710.730) (-714.886) [-660.604] -- 0:12:55
543000 -- (-707.403) (-711.617) (-712.240) [-661.525] * (-718.667) (-715.707) (-713.970) [-659.828] -- 0:12:53
544000 -- (-716.165) (-707.537) (-716.631) [-661.260] * (-711.024) (-712.543) (-711.375) [-658.910] -- 0:12:52
545000 -- (-702.379) (-708.642) (-698.513) [-661.844] * (-703.562) (-711.138) (-709.609) [-658.454] -- 0:12:49
Average standard deviation of split frequencies: 0.019551
546000 -- (-706.655) (-713.460) (-712.843) [-664.760] * (-703.094) (-715.129) (-709.421) [-662.150] -- 0:12:48
547000 -- (-718.969) (-712.664) (-715.552) [-659.789] * (-694.748) (-712.831) (-712.096) [-662.790] -- 0:12:46
548000 -- (-728.310) (-722.368) (-713.895) [-661.677] * (-703.784) (-723.461) (-710.523) [-662.910] -- 0:12:45
549000 -- (-723.124) (-720.336) (-706.852) [-663.405] * (-700.369) (-730.949) (-715.009) [-658.862] -- 0:12:43
550000 -- (-709.936) (-720.367) (-702.186) [-663.864] * (-695.675) (-712.251) (-708.730) [-651.600] -- 0:12:41
Average standard deviation of split frequencies: 0.018673
551000 -- (-708.659) (-719.102) (-718.320) [-672.046] * (-694.633) (-713.801) (-705.981) [-661.317] -- 0:12:40
552000 -- (-719.896) (-712.051) (-713.546) [-670.024] * (-698.392) (-729.755) (-717.056) [-657.839] -- 0:12:38
553000 -- (-710.381) (-707.067) (-710.524) [-664.967] * (-700.877) (-728.460) (-721.935) [-664.527] -- 0:12:36
554000 -- (-704.460) (-717.823) (-705.751) [-667.778] * (-706.078) (-724.088) (-715.615) [-653.362] -- 0:12:35
555000 -- (-711.934) (-708.856) (-705.040) [-670.493] * (-703.249) (-719.133) (-715.687) [-663.632] -- 0:12:33
Average standard deviation of split frequencies: 0.018160
556000 -- (-713.416) (-713.000) (-716.626) [-667.592] * (-711.415) (-716.463) (-723.515) [-669.956] -- 0:12:31
557000 -- (-707.641) (-701.635) (-722.527) [-662.223] * (-700.905) (-722.909) (-720.069) [-658.865] -- 0:12:29
558000 -- (-709.782) (-708.448) (-707.239) [-666.643] * (-698.615) (-740.664) (-714.059) [-664.892] -- 0:12:28
559000 -- (-708.178) (-713.169) (-705.802) [-665.790] * (-702.740) (-726.883) (-719.429) [-658.084] -- 0:12:26
560000 -- (-706.036) (-705.119) (-702.043) [-666.519] * (-710.575) (-735.013) (-726.155) [-660.442] -- 0:12:24
Average standard deviation of split frequencies: 0.017792
561000 -- (-706.188) (-696.331) (-718.201) [-671.301] * (-719.654) (-713.359) (-717.142) [-657.170] -- 0:12:23
562000 -- (-709.389) (-700.879) (-718.742) [-670.612] * (-720.165) (-706.110) (-725.012) [-669.811] -- 0:12:21
563000 -- (-701.753) (-706.548) (-709.991) [-676.741] * (-708.752) (-709.727) (-713.697) [-671.133] -- 0:12:19
564000 -- (-700.118) (-704.519) (-710.541) [-666.728] * (-704.770) (-705.846) (-715.121) [-668.880] -- 0:12:18
565000 -- (-708.887) (-693.043) (-714.032) [-665.649] * (-709.649) (-703.110) (-706.090) [-667.176] -- 0:12:16
Average standard deviation of split frequencies: 0.017840
566000 -- (-705.104) (-697.529) (-711.915) [-670.802] * (-707.872) (-714.321) (-708.699) [-664.802] -- 0:12:15
567000 -- (-709.881) (-703.644) (-720.579) [-672.245] * (-712.667) (-709.014) (-724.846) [-658.277] -- 0:12:13
568000 -- (-705.133) (-705.233) (-715.841) [-661.368] * (-713.935) (-700.949) (-720.156) [-662.677] -- 0:12:12
569000 -- (-702.173) (-718.606) (-721.977) [-663.886] * (-703.696) (-705.118) (-732.024) [-666.751] -- 0:12:10
570000 -- (-713.845) (-712.494) (-705.593) [-675.943] * (-708.209) (-706.381) (-723.507) [-662.684] -- 0:12:08
Average standard deviation of split frequencies: 0.017347
571000 -- (-720.033) (-711.157) (-710.034) [-669.509] * (-716.317) (-705.013) (-719.787) [-665.456] -- 0:12:07
572000 -- (-713.479) (-707.467) (-711.186) [-678.566] * (-710.301) (-711.319) (-726.924) [-662.366] -- 0:12:05
573000 -- (-722.080) (-709.825) (-714.050) [-677.436] * (-728.890) (-710.458) (-715.796) [-668.117] -- 0:12:03
574000 -- (-724.721) (-715.387) (-718.696) [-670.771] * (-718.904) (-708.906) (-723.096) [-665.109] -- 0:12:02
575000 -- (-717.221) (-709.570) (-711.031) [-682.832] * (-725.525) (-706.060) (-734.797) [-665.788] -- 0:12:00
Average standard deviation of split frequencies: 0.017078
576000 -- (-720.167) (-699.531) (-714.218) [-666.193] * (-728.598) (-718.102) (-728.443) [-677.713] -- 0:11:59
577000 -- (-711.030) (-717.975) (-715.073) [-658.731] * (-727.075) (-710.184) (-715.196) [-662.053] -- 0:11:56
578000 -- (-716.761) (-715.949) (-711.143) [-663.556] * (-716.413) (-709.332) (-728.028) [-659.451] -- 0:11:55
579000 -- (-706.715) (-708.954) (-710.988) [-664.711] * (-709.731) (-708.474) (-733.174) [-663.848] -- 0:11:54
580000 -- (-702.651) (-717.203) (-724.673) [-668.185] * (-711.391) (-710.122) (-728.328) [-665.083] -- 0:11:51
Average standard deviation of split frequencies: 0.015398
581000 -- (-703.829) (-729.269) (-715.717) [-675.507] * (-706.193) (-710.864) (-724.015) [-662.437] -- 0:11:50
582000 -- (-699.652) (-728.562) (-713.310) [-677.294] * (-709.631) (-712.275) (-737.734) [-671.698] -- 0:11:48
583000 -- (-712.944) (-742.685) (-723.149) [-673.774] * (-704.665) (-710.504) (-738.824) [-671.268] -- 0:11:47
584000 -- (-709.970) (-736.086) (-716.059) [-668.331] * (-701.744) (-716.069) (-747.509) [-666.710] -- 0:11:45
585000 -- (-720.032) (-738.836) (-729.907) [-675.880] * (-707.687) (-711.659) (-725.218) [-663.957] -- 0:11:43
Average standard deviation of split frequencies: 0.015472
586000 -- (-722.102) (-729.795) (-723.294) [-671.268] * (-713.914) (-713.525) (-722.688) [-666.238] -- 0:11:41
587000 -- (-725.343) (-727.735) (-730.352) [-667.421] * (-709.625) (-720.328) (-740.099) [-660.488] -- 0:11:40
588000 -- (-721.209) (-714.365) (-728.342) [-662.343] * (-696.724) (-711.261) (-740.576) [-662.277] -- 0:11:38
589000 -- (-719.504) (-720.375) (-723.198) [-667.848] * (-697.295) (-714.929) (-743.386) [-660.861] -- 0:11:37
590000 -- (-711.708) (-710.167) (-729.760) [-664.859] * (-701.586) (-724.263) (-731.359) [-666.382] -- 0:11:34
Average standard deviation of split frequencies: 0.015696
591000 -- (-713.074) (-699.716) (-712.166) [-665.235] * (-705.910) (-719.823) (-724.642) [-669.772] -- 0:11:33
592000 -- (-710.028) (-713.007) (-709.162) [-667.604] * (-712.276) (-732.010) (-718.552) [-668.162] -- 0:11:31
593000 -- (-722.260) (-715.137) (-714.103) [-684.010] * (-713.191) (-735.454) (-728.970) [-671.947] -- 0:11:29
594000 -- (-720.587) (-704.039) (-714.598) [-662.923] * (-710.083) (-713.806) (-729.920) [-665.454] -- 0:11:28
595000 -- (-715.591) (-703.683) (-710.016) [-664.585] * (-692.260) (-717.506) (-726.005) [-670.987] -- 0:11:26
Average standard deviation of split frequencies: 0.016056
596000 -- (-727.216) (-710.934) (-723.885) [-658.669] * (-693.844) (-728.178) (-719.074) [-665.959] -- 0:11:24
597000 -- (-726.144) (-704.549) (-726.908) [-664.528] * (-713.540) (-722.899) (-725.421) [-660.690] -- 0:11:23
598000 -- (-711.545) (-710.211) (-727.581) [-659.451] * (-708.831) (-716.686) (-731.341) [-665.626] -- 0:11:21
599000 -- (-706.490) (-707.043) (-721.954) [-659.304] * (-695.993) (-718.828) (-711.871) [-665.714] -- 0:11:19
600000 -- (-711.699) (-700.060) (-719.300) [-664.318] * (-691.658) (-714.568) (-711.057) [-662.072] -- 0:11:18
Average standard deviation of split frequencies: 0.016557
601000 -- (-705.671) (-705.243) (-720.759) [-669.732] * (-689.294) (-724.239) (-712.856) [-656.210] -- 0:11:15
602000 -- (-711.051) (-706.485) (-725.478) [-666.079] * (-703.976) (-727.781) (-718.158) [-652.756] -- 0:11:14
603000 -- (-699.767) (-708.722) (-719.591) [-667.854] * (-697.609) (-717.709) (-714.613) [-666.497] -- 0:11:12
604000 -- (-703.147) (-716.203) (-718.025) [-664.668] * (-706.102) (-714.834) (-721.670) [-658.849] -- 0:11:11
605000 -- (-712.769) (-707.462) (-709.401) [-659.901] * (-705.118) (-703.921) (-720.970) [-664.843] -- 0:11:09
Average standard deviation of split frequencies: 0.016737
606000 -- (-714.328) (-710.721) (-696.505) [-671.817] * (-710.231) (-711.269) (-720.522) [-658.624] -- 0:11:07
607000 -- (-713.655) (-714.151) (-716.483) [-669.644] * (-706.884) (-719.650) (-726.149) [-666.988] -- 0:11:06
608000 -- (-705.364) (-709.636) (-723.204) [-673.084] * (-718.731) (-716.294) (-720.389) [-665.262] -- 0:11:04
609000 -- (-711.205) (-712.022) (-722.189) [-665.389] * (-698.648) (-712.825) (-712.313) [-661.685] -- 0:11:02
610000 -- (-722.417) (-710.545) (-704.944) [-656.909] * (-700.078) (-714.610) (-715.691) [-665.520] -- 0:11:01
Average standard deviation of split frequencies: 0.016957
611000 -- (-715.250) (-720.890) (-708.149) [-673.608] * (-707.166) (-707.426) (-715.713) [-672.334] -- 0:10:59
612000 -- (-721.643) (-718.919) (-708.280) [-666.646] * (-711.219) (-711.576) (-713.086) [-673.547] -- 0:10:57
613000 -- (-723.362) (-715.671) (-707.677) [-657.191] * (-710.751) (-705.554) (-724.102) [-659.923] -- 0:10:55
614000 -- (-721.590) (-706.768) (-715.871) [-664.419] * (-716.226) (-717.148) (-718.525) [-664.294] -- 0:10:54
615000 -- (-724.529) (-716.206) (-709.629) [-657.642] * (-704.459) (-712.268) (-721.075) [-652.258] -- 0:10:52
Average standard deviation of split frequencies: 0.017193
616000 -- (-729.376) (-718.104) (-714.053) [-657.116] * (-707.624) (-711.133) (-714.362) [-652.259] -- 0:10:50
617000 -- (-711.195) (-710.662) (-717.958) [-657.610] * (-703.960) (-708.461) (-719.712) [-654.996] -- 0:10:49
618000 -- (-710.144) (-715.081) (-710.012) [-653.354] * (-701.284) (-713.653) (-719.443) [-662.000] -- 0:10:47
619000 -- (-717.767) (-698.288) (-713.030) [-662.310] * (-709.916) (-716.982) (-737.088) [-659.942] -- 0:10:45
620000 -- (-723.301) (-710.361) (-700.134) [-666.308] * (-718.858) (-735.210) (-725.726) [-660.897] -- 0:10:44
Average standard deviation of split frequencies: 0.017899
621000 -- (-727.907) (-696.378) (-696.136) [-665.850] * (-713.116) (-729.001) (-729.149) [-664.650] -- 0:10:42
622000 -- (-719.723) (-699.549) (-716.167) [-666.117] * (-707.983) (-713.215) (-745.004) [-675.873] -- 0:10:40
623000 -- (-725.932) (-711.869) (-710.244) [-671.607] * (-719.813) (-716.911) (-738.421) [-676.089] -- 0:10:39
624000 -- (-729.404) (-696.646) (-700.618) [-670.535] * (-726.276) (-709.679) (-735.804) [-657.556] -- 0:10:37
625000 -- (-718.800) (-694.883) (-692.422) [-670.397] * (-708.831) (-707.943) (-739.211) [-655.592] -- 0:10:36
Average standard deviation of split frequencies: 0.018779
626000 -- (-715.840) (-701.328) (-713.200) [-668.318] * (-699.180) (-715.857) (-740.275) [-655.894] -- 0:10:33
627000 -- (-714.733) (-703.856) (-716.850) [-670.249] * (-698.182) (-722.910) (-733.610) [-659.786] -- 0:10:32
628000 -- (-735.749) (-703.309) (-710.086) [-669.642] * (-700.106) (-727.946) (-725.485) [-656.554] -- 0:10:30
629000 -- (-721.333) (-708.081) (-714.692) [-673.448] * (-702.813) (-715.694) (-733.439) [-659.103] -- 0:10:29
630000 -- (-727.912) (-709.364) (-716.538) [-667.581] * (-719.235) (-707.021) (-731.154) [-655.334] -- 0:10:27
Average standard deviation of split frequencies: 0.019948
631000 -- (-741.687) (-707.952) (-722.985) [-671.869] * (-705.200) (-706.371) (-724.488) [-664.275] -- 0:10:25
632000 -- (-730.817) (-704.530) (-710.444) [-675.566] * (-702.956) (-696.752) (-720.113) [-663.129] -- 0:10:24
633000 -- (-737.588) (-710.139) (-703.303) [-667.364] * (-698.992) (-713.105) (-718.746) [-666.476] -- 0:10:22
634000 -- (-720.018) (-717.940) (-704.441) [-673.941] * (-699.386) (-714.197) (-728.135) [-662.739] -- 0:10:20
635000 -- (-717.590) (-720.630) (-711.943) [-670.516] * (-705.819) (-715.042) (-730.142) [-664.541] -- 0:10:19
Average standard deviation of split frequencies: 0.020682
636000 -- (-722.454) (-711.985) (-718.350) [-675.640] * (-706.611) (-710.627) (-725.895) [-657.071] -- 0:10:17
637000 -- (-722.645) (-720.753) (-725.398) [-678.670] * (-701.629) (-707.627) (-728.242) [-656.917] -- 0:10:15
638000 -- (-729.397) (-720.051) (-731.772) [-669.848] * (-703.168) (-705.854) (-724.530) [-655.761] -- 0:10:13
639000 -- (-736.121) (-706.639) (-727.324) [-660.497] * (-707.093) (-711.419) (-728.624) [-657.373] -- 0:10:12
640000 -- (-729.034) (-715.843) (-713.542) [-658.805] * (-700.523) (-718.574) (-735.003) [-668.115] -- 0:10:10
Average standard deviation of split frequencies: 0.021552
641000 -- (-736.340) (-716.644) (-705.542) [-676.399] * (-702.197) (-720.473) (-737.284) [-667.143] -- 0:10:08
642000 -- (-725.011) (-722.734) (-711.788) [-672.551] * (-706.321) (-709.710) (-734.928) [-659.472] -- 0:10:07
643000 -- (-722.520) (-725.842) (-724.027) [-667.282] * (-708.194) (-699.234) (-735.999) [-668.974] -- 0:10:05
644000 -- (-718.506) (-709.130) (-720.225) [-667.159] * (-710.832) (-709.882) (-731.953) [-663.188] -- 0:10:03
645000 -- (-723.561) (-696.964) (-730.338) [-673.294] * (-718.919) (-703.200) (-721.817) [-659.406] -- 0:10:02
Average standard deviation of split frequencies: 0.022645
646000 -- (-723.081) (-701.916) (-729.181) [-676.529] * (-710.986) (-709.144) (-725.387) [-664.364] -- 0:10:00
647000 -- (-728.564) (-701.844) (-714.408) [-677.502] * (-709.930) (-713.967) (-723.394) [-667.731] -- 0:09:58
648000 -- (-725.438) (-700.417) (-717.828) [-669.854] * (-706.527) (-714.810) (-722.449) [-662.021] -- 0:09:56
649000 -- (-717.513) (-713.192) (-720.940) [-669.569] * (-696.436) (-703.764) (-725.588) [-656.368] -- 0:09:55
650000 -- (-733.003) (-706.995) (-727.259) [-674.386] * (-709.725) (-713.390) (-732.652) [-651.903] -- 0:09:53
Average standard deviation of split frequencies: 0.023651
651000 -- (-719.579) (-703.886) (-723.721) [-677.817] * (-703.647) (-705.249) (-718.098) [-653.209] -- 0:09:51
652000 -- (-722.894) (-699.307) (-716.678) [-678.822] * (-706.925) (-695.284) (-720.615) [-659.989] -- 0:09:50
653000 -- (-712.545) (-697.148) (-721.132) [-669.045] * (-714.094) (-699.410) (-729.198) [-673.214] -- 0:09:48
654000 -- (-722.626) (-697.851) (-723.240) [-678.004] * (-710.152) (-702.139) (-737.002) [-665.887] -- 0:09:46
655000 -- (-720.486) (-701.298) (-722.378) [-675.974] * (-703.218) (-704.694) (-745.982) [-657.890] -- 0:09:45
Average standard deviation of split frequencies: 0.024163
656000 -- (-725.384) (-698.229) (-708.862) [-665.684] * (-694.766) (-702.325) (-744.947) [-658.587] -- 0:09:43
657000 -- (-719.835) (-704.127) (-729.731) [-662.661] * (-698.688) (-703.516) (-745.351) [-653.197] -- 0:09:41
658000 -- (-718.842) (-694.931) (-717.371) [-664.546] * (-700.666) (-705.797) (-734.609) [-657.777] -- 0:09:40
659000 -- (-736.631) (-706.436) (-728.295) [-660.783] * (-708.777) (-710.168) (-733.714) [-670.179] -- 0:09:38
660000 -- (-740.237) (-705.751) (-718.963) [-662.097] * (-705.596) (-699.142) (-727.810) [-666.553] -- 0:09:36
Average standard deviation of split frequencies: 0.024582
661000 -- (-735.717) (-701.332) (-719.479) [-668.417] * (-716.043) (-704.865) (-731.864) [-662.841] -- 0:09:34
662000 -- (-732.842) (-706.453) (-716.367) [-666.267] * (-721.424) (-699.383) (-716.165) [-663.849] -- 0:09:33
663000 -- (-717.227) (-705.751) (-717.622) [-666.632] * (-705.787) (-699.841) (-725.463) [-659.850] -- 0:09:31
664000 -- (-716.172) (-708.346) (-713.706) [-662.380] * (-704.361) (-701.508) (-724.513) [-660.354] -- 0:09:30
665000 -- (-724.436) (-711.022) (-739.491) [-659.588] * (-712.933) (-708.901) (-719.620) [-664.844] -- 0:09:28
Average standard deviation of split frequencies: 0.023999
666000 -- (-716.457) (-708.084) (-740.426) [-664.062] * (-711.266) (-706.944) (-707.888) [-660.854] -- 0:09:26
667000 -- (-713.107) (-708.219) (-719.521) [-674.812] * (-721.377) (-716.170) (-708.474) [-665.826] -- 0:09:25
668000 -- (-711.908) (-715.543) (-715.467) [-673.031] * (-718.017) (-714.303) (-721.870) [-667.687] -- 0:09:23
669000 -- (-727.258) (-711.038) (-731.024) [-665.854] * (-722.451) (-713.827) (-716.950) [-660.569] -- 0:09:22
670000 -- (-707.786) (-713.888) (-720.409) [-666.607] * (-713.192) (-720.683) (-717.991) [-660.753] -- 0:09:20
Average standard deviation of split frequencies: 0.023810
671000 -- (-700.558) (-723.127) (-714.223) [-670.104] * (-706.426) (-717.868) (-713.016) [-656.665] -- 0:09:18
672000 -- (-715.754) (-722.902) (-709.902) [-658.651] * (-706.774) (-711.820) (-701.353) [-655.150] -- 0:09:16
673000 -- (-727.278) (-706.010) (-720.683) [-664.698] * (-710.126) (-708.700) (-709.675) [-659.831] -- 0:09:14
674000 -- (-717.363) (-700.196) (-722.382) [-654.112] * (-718.030) (-708.628) (-718.174) [-656.972] -- 0:09:13
675000 -- (-721.682) (-706.151) (-716.347) [-654.428] * (-716.416) (-706.199) (-719.028) [-647.892] -- 0:09:11
Average standard deviation of split frequencies: 0.023971
676000 -- (-718.309) (-711.442) (-720.180) [-650.449] * (-706.985) (-711.331) (-718.591) [-653.928] -- 0:09:09
677000 -- (-727.808) (-722.589) (-724.705) [-662.399] * (-714.285) (-709.513) (-717.457) [-660.242] -- 0:09:08
678000 -- (-725.228) (-708.191) (-712.347) [-656.865] * (-708.743) (-703.013) (-724.986) [-659.957] -- 0:09:06
679000 -- (-721.166) (-704.685) (-711.963) [-654.381] * (-715.692) (-704.072) (-735.515) [-661.504] -- 0:09:05
680000 -- (-735.657) (-705.920) (-711.952) [-666.964] * (-711.139) (-703.428) (-720.638) [-658.560] -- 0:09:03
Average standard deviation of split frequencies: 0.024798
681000 -- (-737.244) (-717.090) (-719.832) [-657.439] * (-714.415) (-714.214) (-724.628) [-660.076] -- 0:09:01
682000 -- (-728.034) (-715.717) (-715.473) [-652.788] * (-709.465) (-705.811) (-716.476) [-658.242] -- 0:08:59
683000 -- (-734.775) (-713.615) (-711.665) [-655.606] * (-692.404) (-710.795) (-723.371) [-657.140] -- 0:08:58
684000 -- (-732.158) (-708.196) (-706.246) [-662.909] * (-689.433) (-717.595) (-729.193) [-668.767] -- 0:08:56
685000 -- (-721.126) (-710.956) (-711.302) [-661.925] * (-696.273) (-710.585) (-723.373) [-670.760] -- 0:08:54
Average standard deviation of split frequencies: 0.023937
686000 -- (-711.455) (-719.777) (-717.714) [-661.157] * (-696.553) (-703.030) (-718.362) [-669.737] -- 0:08:53
687000 -- (-711.005) (-713.401) (-713.637) [-663.501] * (-697.479) (-705.751) (-723.142) [-658.052] -- 0:08:51
688000 -- (-704.845) (-711.447) (-715.060) [-664.438] * (-704.994) (-712.649) (-710.865) [-663.676] -- 0:08:49
689000 -- (-710.979) (-717.584) (-702.190) [-667.473] * (-713.582) (-712.399) (-716.331) [-658.788] -- 0:08:48
690000 -- (-728.156) (-716.713) (-709.602) [-663.208] * (-701.226) (-705.865) (-714.462) [-663.351] -- 0:08:46
Average standard deviation of split frequencies: 0.023707
691000 -- (-724.123) (-714.169) (-726.226) [-666.307] * (-700.425) (-710.587) (-717.519) [-668.356] -- 0:08:44
692000 -- (-724.261) (-713.118) (-713.731) [-660.481] * (-700.096) (-712.742) (-717.605) [-656.699] -- 0:08:42
693000 -- (-723.044) (-711.900) (-701.203) [-657.888] * (-692.894) (-697.209) (-729.328) [-666.467] -- 0:08:41
694000 -- (-711.538) (-717.547) (-707.980) [-661.225] * (-705.930) (-694.536) (-734.172) [-664.098] -- 0:08:39
695000 -- (-717.350) (-712.027) (-709.415) [-660.798] * (-696.835) (-707.302) (-735.183) [-665.308] -- 0:08:37
Average standard deviation of split frequencies: 0.023186
696000 -- (-724.688) (-703.534) (-703.555) [-666.689] * (-696.519) (-714.126) (-733.469) [-669.364] -- 0:08:36
697000 -- (-716.597) (-712.190) (-713.637) [-668.574] * (-697.425) (-713.555) (-730.508) [-660.620] -- 0:08:34
698000 -- (-733.800) (-711.093) (-711.055) [-657.617] * (-703.626) (-719.893) (-725.671) [-658.928] -- 0:08:32
699000 -- (-730.177) (-699.917) (-714.161) [-660.400] * (-704.116) (-717.858) (-702.078) [-666.322] -- 0:08:31
700000 -- (-724.196) (-706.163) (-702.409) [-658.056] * (-712.808) (-719.897) (-713.774) [-664.159] -- 0:08:29
Average standard deviation of split frequencies: 0.023144
701000 -- (-728.057) (-708.771) (-703.047) [-661.189] * (-725.755) (-716.902) (-713.736) [-664.860] -- 0:08:27
702000 -- (-728.616) (-720.929) (-708.056) [-658.677] * (-719.088) (-703.987) (-718.879) [-659.615] -- 0:08:26
703000 -- (-717.173) (-716.628) (-703.851) [-662.362] * (-719.033) (-709.451) (-714.154) [-661.874] -- 0:08:24
704000 -- (-723.112) (-714.688) (-700.310) [-665.625] * (-722.291) (-713.512) (-708.802) [-660.956] -- 0:08:22
705000 -- (-738.675) (-720.661) (-710.406) [-661.155] * (-720.039) (-711.084) (-704.719) [-663.294] -- 0:08:20
Average standard deviation of split frequencies: 0.022769
706000 -- (-718.408) (-720.217) (-711.715) [-663.919] * (-716.404) (-711.049) (-707.205) [-664.745] -- 0:08:19
707000 -- (-720.881) (-723.803) (-700.741) [-668.668] * (-712.531) (-714.284) (-716.239) [-664.883] -- 0:08:17
708000 -- (-720.548) (-723.720) (-704.952) [-661.798] * (-712.187) (-726.600) (-729.302) [-663.701] -- 0:08:15
709000 -- (-722.436) (-724.630) (-708.951) [-662.899] * (-715.861) (-724.694) (-727.738) [-663.910] -- 0:08:14
710000 -- (-725.238) (-709.376) (-719.018) [-662.364] * (-721.906) (-722.132) (-722.987) [-664.564] -- 0:08:12
Average standard deviation of split frequencies: 0.023172
711000 -- (-721.007) (-705.850) (-706.809) [-658.187] * (-717.080) (-718.427) (-726.328) [-659.829] -- 0:08:10
712000 -- (-720.100) (-707.700) (-712.669) [-656.056] * (-714.069) (-711.106) (-721.580) [-666.522] -- 0:08:09
713000 -- (-720.584) (-703.269) (-711.937) [-662.609] * (-708.657) (-709.361) (-725.164) [-669.389] -- 0:08:07
714000 -- (-724.333) (-697.756) (-703.976) [-663.731] * (-714.863) (-697.779) (-729.036) [-657.162] -- 0:08:05
715000 -- (-732.105) (-706.598) (-698.696) [-666.063] * (-720.704) (-706.481) (-722.900) [-663.904] -- 0:08:04
Average standard deviation of split frequencies: 0.023877
716000 -- (-732.837) (-717.960) (-715.011) [-665.364] * (-714.249) (-708.955) (-716.310) [-653.370] -- 0:08:02
717000 -- (-719.516) (-704.753) (-702.763) [-665.352] * (-710.598) (-710.894) (-715.669) [-660.283] -- 0:08:00
718000 -- (-712.906) (-704.281) (-702.743) [-670.790] * (-712.999) (-705.790) (-712.966) [-662.786] -- 0:07:59
719000 -- (-718.838) (-707.762) (-700.270) [-663.776] * (-708.265) (-704.381) (-722.011) [-658.740] -- 0:07:57
720000 -- (-724.912) (-707.123) (-701.529) [-666.219] * (-703.593) (-709.186) (-708.436) [-657.991] -- 0:07:55
Average standard deviation of split frequencies: 0.023657
721000 -- (-726.678) (-716.594) (-729.150) [-668.270] * (-705.542) (-703.889) (-706.106) [-662.959] -- 0:07:54
722000 -- (-721.194) (-714.542) (-729.293) [-674.435] * (-698.696) (-697.935) (-716.099) [-661.493] -- 0:07:52
723000 -- (-708.972) (-707.019) (-716.464) [-676.731] * (-699.329) (-706.263) (-722.959) [-671.389] -- 0:07:50
724000 -- (-714.050) (-710.862) (-704.270) [-662.751] * (-699.962) (-705.580) (-734.784) [-662.058] -- 0:07:48
725000 -- (-714.621) (-699.643) (-702.142) [-660.093] * (-704.491) (-702.374) (-718.317) [-660.178] -- 0:07:47
Average standard deviation of split frequencies: 0.022998
726000 -- (-718.784) (-702.976) (-716.418) [-653.618] * (-710.756) (-708.514) (-732.392) [-661.032] -- 0:07:45
727000 -- (-708.090) (-706.928) (-705.666) [-656.257] * (-702.197) (-705.693) (-717.714) [-669.650] -- 0:07:44
728000 -- (-705.646) (-703.919) (-704.513) [-660.703] * (-703.152) (-713.899) (-722.737) [-663.652] -- 0:07:42
729000 -- (-705.027) (-698.344) (-702.157) [-658.934] * (-717.885) (-715.561) (-722.563) [-663.462] -- 0:07:40
730000 -- (-717.302) (-705.056) (-711.042) [-672.787] * (-711.918) (-710.477) (-727.007) [-669.476] -- 0:07:39
Average standard deviation of split frequencies: 0.022290
731000 -- (-719.727) (-707.951) (-720.077) [-681.036] * (-717.337) (-704.338) (-736.623) [-666.714] -- 0:07:37
732000 -- (-713.604) (-699.727) (-701.113) [-667.806] * (-712.306) (-702.944) (-727.374) [-667.065] -- 0:07:35
733000 -- (-712.525) (-704.201) (-715.013) [-669.100] * (-706.447) (-707.681) (-718.830) [-663.427] -- 0:07:33
734000 -- (-713.287) (-712.329) (-724.855) [-664.056] * (-705.618) (-705.590) (-721.221) [-657.789] -- 0:07:32
735000 -- (-701.933) (-702.638) (-715.014) [-664.746] * (-706.884) (-702.478) (-705.580) [-664.298] -- 0:07:30
Average standard deviation of split frequencies: 0.021302
736000 -- (-701.671) (-702.196) (-731.193) [-672.606] * (-706.661) (-715.651) (-709.603) [-667.536] -- 0:07:28
737000 -- (-710.082) (-703.500) (-720.208) [-660.039] * (-704.452) (-722.698) (-717.363) [-677.763] -- 0:07:27
738000 -- (-716.500) (-707.151) (-709.975) [-659.798] * (-704.075) (-722.866) (-723.311) [-672.331] -- 0:07:25
739000 -- (-720.821) (-702.666) (-707.867) [-661.750] * (-704.768) (-722.723) (-717.835) [-662.297] -- 0:07:23
740000 -- (-737.340) (-696.553) (-719.111) [-659.756] * (-718.504) (-725.706) (-713.635) [-661.436] -- 0:07:22
Average standard deviation of split frequencies: 0.020921
741000 -- (-728.250) (-706.036) (-719.631) [-661.744] * (-707.653) (-732.177) (-717.879) [-669.864] -- 0:07:20
742000 -- (-727.498) (-709.981) (-728.513) [-657.091] * (-706.936) (-722.292) (-708.395) [-664.009] -- 0:07:18
743000 -- (-718.821) (-712.679) (-716.265) [-660.735] * (-705.733) (-711.813) (-708.927) [-663.273] -- 0:07:16
744000 -- (-719.873) (-699.813) (-717.710) [-658.745] * (-709.555) (-712.268) (-716.666) [-657.519] -- 0:07:15
745000 -- (-725.689) (-700.718) (-716.639) [-662.211] * (-712.839) (-707.264) (-717.841) [-660.716] -- 0:07:13
Average standard deviation of split frequencies: 0.020996
746000 -- (-721.815) (-698.905) (-703.419) [-664.998] * (-702.179) (-714.398) (-725.417) [-656.481] -- 0:07:11
747000 -- (-719.746) (-699.826) (-701.577) [-661.952] * (-707.001) (-713.581) (-731.166) [-664.178] -- 0:07:09
748000 -- (-714.883) (-698.462) (-700.448) [-667.270] * (-702.124) (-702.034) (-726.822) [-661.344] -- 0:07:08
749000 -- (-720.116) (-700.124) (-701.448) [-654.139] * (-706.479) (-713.064) (-719.218) [-679.229] -- 0:07:06
750000 -- (-721.647) (-706.922) (-703.646) [-663.465] * (-701.710) (-700.918) (-713.110) [-659.217] -- 0:07:04
Average standard deviation of split frequencies: 0.020663
751000 -- (-722.535) (-697.282) (-702.319) [-661.645] * (-696.676) (-712.744) (-708.006) [-661.465] -- 0:07:03
752000 -- (-719.330) (-712.777) (-724.623) [-671.549] * (-691.119) (-709.978) (-705.710) [-663.976] -- 0:07:01
753000 -- (-719.026) (-705.051) (-716.320) [-672.372] * (-690.026) (-717.252) (-712.361) [-662.749] -- 0:06:59
754000 -- (-707.862) (-702.405) (-711.130) [-674.803] * (-702.179) (-718.735) (-718.093) [-667.415] -- 0:06:57
755000 -- (-719.073) (-704.023) (-719.585) [-671.455] * (-702.280) (-730.992) (-726.238) [-666.321] -- 0:06:56
Average standard deviation of split frequencies: 0.020899
756000 -- (-725.434) (-701.195) (-728.951) [-668.394] * (-702.955) (-715.048) (-704.099) [-665.771] -- 0:06:54
757000 -- (-714.668) (-701.666) (-718.676) [-663.217] * (-706.322) (-713.401) (-710.070) [-666.481] -- 0:06:52
758000 -- (-723.712) (-713.119) (-711.887) [-670.624] * (-707.550) (-722.437) (-710.961) [-669.574] -- 0:06:51
759000 -- (-728.420) (-694.572) (-720.702) [-660.807] * (-713.610) (-719.230) (-714.508) [-671.686] -- 0:06:49
760000 -- (-710.394) (-700.046) (-727.718) [-665.090] * (-717.809) (-727.504) (-730.468) [-671.529] -- 0:06:48
Average standard deviation of split frequencies: 0.021051
761000 -- (-732.610) (-702.286) (-710.446) [-663.050] * (-713.218) (-726.952) (-710.419) [-666.728] -- 0:06:46
762000 -- (-735.450) (-711.280) (-719.170) [-656.760] * (-711.543) (-717.917) (-710.113) [-669.239] -- 0:06:44
763000 -- (-735.792) (-709.282) (-725.722) [-657.385] * (-707.620) (-712.769) (-713.595) [-665.173] -- 0:06:42
764000 -- (-717.619) (-704.302) (-714.665) [-665.093] * (-718.162) (-707.900) (-708.021) [-668.161] -- 0:06:41
765000 -- (-719.443) (-702.987) (-713.516) [-669.800] * (-699.950) (-719.459) (-717.759) [-669.766] -- 0:06:39
Average standard deviation of split frequencies: 0.021480
766000 -- (-723.779) (-714.849) (-714.007) [-659.119] * (-705.218) (-716.718) (-713.450) [-668.878] -- 0:06:37
767000 -- (-744.066) (-711.447) (-714.179) [-668.012] * (-709.656) (-715.081) (-716.052) [-672.524] -- 0:06:36
768000 -- (-732.348) (-708.408) (-712.771) [-663.043] * (-703.408) (-718.035) (-712.449) [-665.557] -- 0:06:34
769000 -- (-735.612) (-718.336) (-715.852) [-656.739] * (-718.645) (-716.370) (-715.546) [-673.854] -- 0:06:32
770000 -- (-734.798) (-719.704) (-717.222) [-663.342] * (-717.564) (-711.489) (-725.026) [-676.828] -- 0:06:31
Average standard deviation of split frequencies: 0.021725
771000 -- (-734.670) (-715.049) (-722.688) [-663.223] * (-705.835) (-706.121) (-730.100) [-687.936] -- 0:06:29
772000 -- (-742.521) (-706.009) (-722.807) [-663.587] * (-709.395) (-702.149) (-733.627) [-687.913] -- 0:06:27
773000 -- (-724.486) (-714.323) (-718.821) [-659.000] * (-703.489) (-705.286) (-727.482) [-679.107] -- 0:06:26
774000 -- (-730.326) (-715.737) (-734.783) [-661.509] * (-708.284) (-712.468) (-739.515) [-675.687] -- 0:06:24
775000 -- (-728.579) (-701.702) (-728.199) [-662.037] * (-715.458) (-708.400) (-727.927) [-675.212] -- 0:06:22
Average standard deviation of split frequencies: 0.022261
776000 -- (-734.125) (-707.420) (-729.115) [-665.031] * (-718.837) (-710.493) (-719.666) [-667.003] -- 0:06:21
777000 -- (-729.734) (-707.289) (-724.518) [-667.548] * (-708.707) (-721.489) (-733.707) [-666.047] -- 0:06:19
778000 -- (-716.508) (-708.292) (-719.874) [-658.718] * (-713.789) (-714.032) (-724.383) [-665.832] -- 0:06:17
779000 -- (-724.498) (-701.886) (-724.141) [-660.038] * (-710.210) (-710.923) (-709.353) [-675.756] -- 0:06:15
780000 -- (-731.759) (-701.479) (-721.551) [-668.812] * (-713.576) (-731.040) (-712.133) [-665.113] -- 0:06:14
Average standard deviation of split frequencies: 0.022705
781000 -- (-731.081) (-699.987) (-710.998) [-665.632] * (-703.722) (-713.841) (-722.467) [-670.895] -- 0:06:12
782000 -- (-723.878) (-700.113) (-722.376) [-674.204] * (-690.232) (-726.451) (-722.839) [-664.643] -- 0:06:10
783000 -- (-721.609) (-692.912) (-722.302) [-663.881] * (-700.704) (-713.288) (-730.740) [-663.795] -- 0:06:09
784000 -- (-711.356) (-698.461) (-722.568) [-660.550] * (-706.754) (-715.156) (-730.774) [-658.264] -- 0:06:07
785000 -- (-706.831) (-706.719) (-720.992) [-656.363] * (-709.069) (-715.032) (-740.991) [-658.038] -- 0:06:05
Average standard deviation of split frequencies: 0.023210
786000 -- (-710.891) (-704.801) (-715.119) [-661.853] * (-710.074) (-708.952) (-736.005) [-661.991] -- 0:06:04
787000 -- (-716.017) (-701.069) (-721.985) [-666.950] * (-709.070) (-715.175) (-717.690) [-661.582] -- 0:06:02
788000 -- (-722.502) (-704.462) (-731.050) [-675.348] * (-707.000) (-710.263) (-714.634) [-662.048] -- 0:06:00
789000 -- (-721.371) (-700.039) (-730.193) [-671.680] * (-716.261) (-714.415) (-711.524) [-660.369] -- 0:05:58
790000 -- (-723.415) (-694.546) (-712.478) [-661.984] * (-712.616) (-712.524) (-708.717) [-670.068] -- 0:05:57
Average standard deviation of split frequencies: 0.023332
791000 -- (-721.258) (-708.711) (-714.612) [-668.284] * (-720.916) (-716.850) (-711.008) [-665.188] -- 0:05:55
792000 -- (-731.099) (-707.418) (-721.372) [-669.562] * (-730.300) (-713.793) (-710.142) [-658.612] -- 0:05:53
793000 -- (-726.978) (-711.244) (-710.480) [-673.978] * (-713.415) (-714.756) (-707.850) [-658.956] -- 0:05:51
794000 -- (-722.258) (-720.873) (-713.404) [-669.382] * (-719.702) (-717.007) (-717.668) [-664.911] -- 0:05:50
795000 -- (-709.563) (-716.305) (-718.164) [-666.677] * (-729.706) (-713.563) (-713.374) [-662.800] -- 0:05:48
Average standard deviation of split frequencies: 0.022623
796000 -- (-716.504) (-711.204) (-709.635) [-668.379] * (-716.928) (-701.874) (-703.297) [-662.691] -- 0:05:46
797000 -- (-707.054) (-709.884) (-708.497) [-660.522] * (-718.070) (-706.103) (-703.961) [-662.301] -- 0:05:45
798000 -- (-709.641) (-705.613) (-718.473) [-663.965] * (-706.281) (-703.330) (-717.374) [-664.311] -- 0:05:43
799000 -- (-714.076) (-707.672) (-724.984) [-663.751] * (-708.252) (-700.082) (-717.877) [-664.104] -- 0:05:41
800000 -- (-716.310) (-708.103) (-717.549) [-662.831] * (-724.682) (-706.792) (-724.628) [-664.764] -- 0:05:40
Average standard deviation of split frequencies: 0.022157
801000 -- (-715.357) (-703.144) (-710.129) [-663.742] * (-719.858) (-700.988) (-717.461) [-656.753] -- 0:05:38
802000 -- (-708.476) (-699.099) (-714.995) [-655.969] * (-712.979) (-713.268) (-716.029) [-656.607] -- 0:05:36
803000 -- (-712.154) (-698.932) (-707.962) [-655.142] * (-704.345) (-707.201) (-711.687) [-665.381] -- 0:05:34
804000 -- (-707.235) (-699.055) (-706.979) [-669.808] * (-695.770) (-708.995) (-722.296) [-665.554] -- 0:05:33
805000 -- (-708.876) (-699.228) (-717.114) [-661.274] * (-697.548) (-709.142) (-723.221) [-658.226] -- 0:05:31
Average standard deviation of split frequencies: 0.022069
806000 -- (-714.390) (-698.591) (-712.870) [-663.134] * (-704.217) (-705.843) (-720.193) [-660.110] -- 0:05:29
807000 -- (-711.441) (-696.983) (-736.584) [-665.384] * (-697.444) (-714.538) (-719.044) [-671.678] -- 0:05:28
808000 -- (-723.098) (-704.027) (-731.713) [-666.873] * (-701.862) (-725.407) (-723.267) [-669.236] -- 0:05:26
809000 -- (-722.429) (-701.492) (-732.076) [-664.447] * (-695.505) (-725.225) (-727.894) [-661.246] -- 0:05:24
810000 -- (-718.084) (-706.127) (-727.722) [-658.288] * (-698.671) (-717.074) (-732.742) [-670.531] -- 0:05:23
Average standard deviation of split frequencies: 0.022000
811000 -- (-716.076) (-701.700) (-723.922) [-657.507] * (-701.778) (-730.916) (-716.224) [-658.062] -- 0:05:21
812000 -- (-708.138) (-701.329) (-716.464) [-662.943] * (-703.209) (-723.560) (-718.803) [-663.957] -- 0:05:19
813000 -- (-720.896) (-699.802) (-723.761) [-663.144] * (-706.097) (-723.105) (-721.373) [-662.301] -- 0:05:17
814000 -- (-721.291) (-699.305) (-721.406) [-663.157] * (-697.263) (-714.653) (-725.337) [-670.729] -- 0:05:16
815000 -- (-727.252) (-706.338) (-726.997) [-660.113] * (-710.137) (-710.131) (-718.293) [-654.940] -- 0:05:14
Average standard deviation of split frequencies: 0.022453
816000 -- (-715.292) (-714.412) (-722.935) [-673.367] * (-706.473) (-704.457) (-730.358) [-660.374] -- 0:05:12
817000 -- (-714.131) (-708.178) (-727.440) [-658.659] * (-711.091) (-707.693) (-719.101) [-659.595] -- 0:05:11
818000 -- (-714.431) (-706.792) (-728.482) [-667.511] * (-706.933) (-711.829) (-708.113) [-659.627] -- 0:05:09
819000 -- (-715.733) (-712.398) (-730.815) [-666.447] * (-712.180) (-715.532) (-713.348) [-668.947] -- 0:05:07
820000 -- (-712.654) (-714.175) (-731.215) [-675.071] * (-711.788) (-717.439) (-716.197) [-664.105] -- 0:05:06
Average standard deviation of split frequencies: 0.022977
821000 -- (-723.704) (-712.702) (-717.974) [-665.534] * (-700.728) (-714.251) (-718.199) [-661.815] -- 0:05:04
822000 -- (-717.974) (-714.873) (-708.971) [-676.983] * (-704.569) (-726.402) (-718.645) [-669.294] -- 0:05:02
823000 -- (-723.173) (-704.555) (-704.824) [-676.451] * (-708.199) (-723.637) (-727.884) [-663.407] -- 0:05:01
824000 -- (-708.126) (-699.687) (-716.199) [-668.914] * (-707.918) (-731.549) (-720.613) [-662.914] -- 0:04:59
825000 -- (-711.842) (-704.355) (-713.254) [-672.275] * (-706.509) (-724.374) (-705.978) [-666.648] -- 0:04:57
Average standard deviation of split frequencies: 0.022714
826000 -- (-714.796) (-712.195) (-727.832) [-667.936] * (-695.895) (-718.552) (-713.134) [-671.152] -- 0:04:55
827000 -- (-716.202) (-705.177) (-704.512) [-667.552] * (-699.462) (-703.357) (-712.217) [-656.745] -- 0:04:54
828000 -- (-715.427) (-707.230) (-710.443) [-674.975] * (-693.453) (-703.621) (-736.479) [-662.734] -- 0:04:52
829000 -- (-721.466) (-712.254) (-717.803) [-665.876] * (-699.408) (-705.978) (-714.170) [-661.307] -- 0:04:51
830000 -- (-722.347) (-703.172) (-709.774) [-663.437] * (-697.515) (-713.598) (-722.736) [-655.114] -- 0:04:49
Average standard deviation of split frequencies: 0.022322
831000 -- (-713.227) (-708.884) (-717.348) [-669.822] * (-695.558) (-716.605) (-727.068) [-658.230] -- 0:04:47
832000 -- (-707.382) (-704.108) (-719.124) [-659.212] * (-693.597) (-718.992) (-718.269) [-661.136] -- 0:04:45
833000 -- (-707.308) (-706.051) (-712.004) [-662.217] * (-696.368) (-730.005) (-722.046) [-658.228] -- 0:04:44
834000 -- (-713.848) (-717.934) (-722.686) [-662.499] * (-693.721) (-721.950) (-721.601) [-647.233] -- 0:04:42
835000 -- (-710.967) (-711.600) (-713.643) [-669.033] * (-699.540) (-715.997) (-718.168) [-655.923] -- 0:04:40
Average standard deviation of split frequencies: 0.022010
836000 -- (-716.616) (-729.452) (-711.305) [-667.080] * (-697.224) (-710.293) (-727.700) [-660.040] -- 0:04:39
837000 -- (-717.360) (-730.418) (-718.091) [-666.625] * (-699.601) (-702.856) (-723.943) [-664.663] -- 0:04:37
838000 -- (-704.004) (-727.834) (-719.059) [-667.280] * (-712.940) (-725.184) (-726.444) [-657.829] -- 0:04:35
839000 -- (-705.182) (-717.847) (-709.377) [-660.927] * (-706.921) (-705.453) (-716.415) [-664.010] -- 0:04:34
840000 -- (-707.456) (-719.815) (-702.293) [-659.815] * (-714.683) (-710.374) (-723.365) [-669.045] -- 0:04:32
Average standard deviation of split frequencies: 0.020820
841000 -- (-725.695) (-713.378) (-712.220) [-661.247] * (-704.606) (-715.371) (-713.566) [-665.196] -- 0:04:30
842000 -- (-713.520) (-716.162) (-710.873) [-664.502] * (-707.117) (-711.498) (-714.981) [-670.091] -- 0:04:28
843000 -- (-718.980) (-707.770) (-712.050) [-661.947] * (-724.372) (-701.279) (-712.247) [-668.505] -- 0:04:27
844000 -- (-712.221) (-704.471) (-723.210) [-666.782] * (-721.285) (-706.412) (-712.938) [-684.726] -- 0:04:25
845000 -- (-714.580) (-715.309) (-728.569) [-667.214] * (-713.564) (-705.545) (-719.726) [-668.661] -- 0:04:23
Average standard deviation of split frequencies: 0.019790
846000 -- (-708.676) (-704.499) (-740.924) [-662.590] * (-702.394) (-702.589) (-720.290) [-669.182] -- 0:04:22
847000 -- (-711.940) (-712.211) (-743.504) [-659.801] * (-699.203) (-708.134) (-714.486) [-669.862] -- 0:04:20
848000 -- (-717.987) (-706.609) (-732.858) [-660.299] * (-695.843) (-710.585) (-718.862) [-670.261] -- 0:04:18
849000 -- (-713.659) (-706.566) (-734.382) [-663.134] * (-690.942) (-717.059) (-716.964) [-667.393] -- 0:04:17
850000 -- (-726.559) (-708.365) (-720.510) [-652.115] * (-694.626) (-711.529) (-723.059) [-664.080] -- 0:04:15
Average standard deviation of split frequencies: 0.019735
851000 -- (-709.591) (-708.033) (-722.595) [-658.827] * (-697.575) (-712.835) (-722.095) [-670.215] -- 0:04:13
852000 -- (-717.430) (-708.611) (-733.229) [-655.970] * (-706.923) (-702.721) (-712.301) [-663.438] -- 0:04:11
853000 -- (-720.027) (-705.105) (-719.749) [-655.729] * (-710.374) (-701.580) (-711.872) [-665.696] -- 0:04:10
854000 -- (-723.103) (-716.754) (-719.540) [-663.042] * (-701.175) (-706.722) (-716.147) [-670.890] -- 0:04:08
855000 -- (-717.078) (-725.442) (-726.011) [-665.330] * (-695.860) (-700.284) (-716.190) [-657.933] -- 0:04:06
Average standard deviation of split frequencies: 0.020376
856000 -- (-718.725) (-715.206) (-727.979) [-668.968] * (-694.801) (-702.725) (-717.745) [-671.888] -- 0:04:05
857000 -- (-712.851) (-715.843) (-733.884) [-662.012] * (-696.596) (-699.316) (-706.970) [-662.482] -- 0:04:03
858000 -- (-711.172) (-709.801) (-720.149) [-663.854] * (-702.110) (-701.996) (-714.850) [-653.968] -- 0:04:01
859000 -- (-717.719) (-712.375) (-722.657) [-661.879] * (-703.798) (-710.874) (-714.505) [-656.213] -- 0:03:59
860000 -- (-704.323) (-712.174) (-730.279) [-668.759] * (-699.498) (-724.463) (-716.602) [-655.164] -- 0:03:58
Average standard deviation of split frequencies: 0.020831
861000 -- (-716.894) (-703.434) (-729.424) [-668.706] * (-695.155) (-733.721) (-707.707) [-663.628] -- 0:03:56
862000 -- (-721.840) (-708.512) (-724.985) [-663.546] * (-692.223) (-719.594) (-719.139) [-662.993] -- 0:03:54
863000 -- (-718.443) (-708.245) (-726.061) [-662.131] * (-695.116) (-714.346) (-714.439) [-663.278] -- 0:03:53
864000 -- (-714.632) (-717.007) (-721.640) [-666.552] * (-694.993) (-713.617) (-713.063) [-656.760] -- 0:03:51
865000 -- (-717.491) (-715.512) (-726.094) [-676.727] * (-695.760) (-711.110) (-727.510) [-666.000] -- 0:03:49
Average standard deviation of split frequencies: 0.021633
866000 -- (-718.581) (-711.547) (-716.268) [-674.894] * (-687.680) (-704.706) (-741.149) [-670.352] -- 0:03:48
867000 -- (-727.304) (-715.771) (-717.746) [-675.065] * (-691.689) (-727.396) (-732.999) [-673.208] -- 0:03:46
868000 -- (-710.795) (-723.371) (-723.579) [-670.081] * (-703.019) (-703.323) (-735.249) [-668.805] -- 0:03:44
869000 -- (-710.934) (-724.065) (-719.462) [-676.906] * (-703.468) (-726.072) (-733.453) [-666.791] -- 0:03:43
870000 -- (-711.440) (-733.206) (-711.411) [-673.853] * (-710.644) (-712.332) (-734.528) [-664.191] -- 0:03:41
Average standard deviation of split frequencies: 0.022884
871000 -- (-713.421) (-736.608) (-711.577) [-667.359] * (-708.829) (-702.682) (-724.223) [-668.958] -- 0:03:39
872000 -- (-729.573) (-735.268) (-710.956) [-661.843] * (-713.725) (-713.540) (-712.907) [-667.259] -- 0:03:37
873000 -- (-715.051) (-727.545) (-711.237) [-667.295] * (-711.189) (-716.578) (-721.239) [-656.241] -- 0:03:36
874000 -- (-720.233) (-725.577) (-711.749) [-670.745] * (-715.431) (-712.991) (-715.896) [-660.675] -- 0:03:34
875000 -- (-713.484) (-726.552) (-722.856) [-671.498] * (-716.298) (-706.629) (-711.297) [-662.818] -- 0:03:32
Average standard deviation of split frequencies: 0.022824
876000 -- (-726.196) (-714.333) (-724.661) [-670.070] * (-705.000) (-707.329) (-715.884) [-656.925] -- 0:03:31
877000 -- (-720.976) (-711.021) (-716.746) [-661.464] * (-711.107) (-709.356) (-721.032) [-656.726] -- 0:03:29
878000 -- (-722.483) (-704.830) (-730.491) [-662.360] * (-713.615) (-725.271) (-715.064) [-658.231] -- 0:03:27
879000 -- (-738.661) (-709.084) (-732.581) [-656.194] * (-710.702) (-721.175) (-719.784) [-650.382] -- 0:03:26
880000 -- (-730.632) (-705.932) (-720.750) [-655.228] * (-705.772) (-714.003) (-727.585) [-664.540] -- 0:03:24
Average standard deviation of split frequencies: 0.023903
881000 -- (-725.111) (-695.156) (-720.479) [-652.418] * (-707.288) (-704.562) (-721.904) [-666.832] -- 0:03:22
882000 -- (-722.114) (-709.360) (-723.905) [-653.439] * (-719.051) (-715.431) (-719.264) [-669.798] -- 0:03:20
883000 -- (-722.058) (-707.106) (-723.876) [-650.414] * (-702.387) (-718.101) (-715.230) [-665.582] -- 0:03:19
884000 -- (-720.473) (-711.760) (-726.041) [-653.880] * (-699.455) (-713.233) (-735.046) [-659.896] -- 0:03:17
885000 -- (-716.062) (-698.298) (-712.439) [-658.439] * (-695.462) (-706.148) (-728.361) [-664.047] -- 0:03:15
Average standard deviation of split frequencies: 0.024401
886000 -- (-716.170) (-710.525) (-715.613) [-662.154] * (-698.125) (-708.615) (-722.675) [-661.113] -- 0:03:14
887000 -- (-723.145) (-710.315) (-725.388) [-670.015] * (-696.755) (-704.721) (-720.598) [-666.077] -- 0:03:12
888000 -- (-707.280) (-710.457) (-727.874) [-662.626] * (-692.210) (-712.965) (-718.862) [-669.096] -- 0:03:10
889000 -- (-709.452) (-705.379) (-707.117) [-665.698] * (-692.862) (-708.710) (-708.860) [-672.715] -- 0:03:09
890000 -- (-723.163) (-696.272) (-719.592) [-663.812] * (-701.793) (-707.203) (-716.784) [-665.191] -- 0:03:07
Average standard deviation of split frequencies: 0.025113
891000 -- (-729.878) (-695.452) (-727.520) [-659.916] * (-706.144) (-718.999) (-724.643) [-659.706] -- 0:03:05
892000 -- (-727.406) (-695.128) (-736.580) [-658.676] * (-708.392) (-721.287) (-719.412) [-665.073] -- 0:03:03
893000 -- (-725.560) (-697.017) (-722.285) [-660.999] * (-703.094) (-729.793) (-722.305) [-662.294] -- 0:03:02
894000 -- (-716.345) (-703.180) (-712.198) [-674.453] * (-716.868) (-717.566) (-720.528) [-664.736] -- 0:03:00
895000 -- (-717.203) (-701.826) (-710.867) [-672.801] * (-702.336) (-724.473) (-723.195) [-663.405] -- 0:02:58
Average standard deviation of split frequencies: 0.025236
896000 -- (-722.840) (-699.253) (-714.350) [-675.315] * (-700.448) (-719.251) (-730.103) [-656.151] -- 0:02:57
897000 -- (-725.338) (-703.312) (-721.917) [-669.280] * (-694.330) (-726.728) (-728.354) [-662.730] -- 0:02:55
898000 -- (-725.510) (-704.449) (-726.199) [-666.238] * (-693.671) (-744.556) (-728.747) [-658.862] -- 0:02:53
899000 -- (-742.211) (-706.188) (-707.169) [-682.011] * (-698.293) (-734.326) (-722.773) [-658.094] -- 0:02:52
900000 -- (-735.270) (-698.652) (-714.773) [-666.933] * (-708.825) (-720.736) (-725.806) [-669.585] -- 0:02:50
Average standard deviation of split frequencies: 0.024816
901000 -- (-730.364) (-706.041) (-722.064) [-672.664] * (-703.890) (-716.780) (-716.871) [-664.853] -- 0:02:48
902000 -- (-726.150) (-701.658) (-720.018) [-667.771] * (-709.665) (-710.506) (-718.777) [-662.717] -- 0:02:46
903000 -- (-732.600) (-709.650) (-717.776) [-667.684] * (-701.220) (-710.727) (-726.719) [-666.461] -- 0:02:45
904000 -- (-729.844) (-711.258) (-721.709) [-674.075] * (-707.061) (-713.011) (-711.576) [-667.066] -- 0:02:43
905000 -- (-730.135) (-702.351) (-712.582) [-679.830] * (-705.791) (-701.774) (-720.133) [-663.878] -- 0:02:41
Average standard deviation of split frequencies: 0.024125
906000 -- (-740.183) (-695.972) (-715.908) [-660.980] * (-701.707) (-692.026) (-713.209) [-655.494] -- 0:02:40
907000 -- (-735.610) (-702.484) (-728.167) [-652.631] * (-694.324) (-701.663) (-708.861) [-665.268] -- 0:02:38
908000 -- (-739.581) (-706.698) (-713.580) [-662.554] * (-702.052) (-706.048) (-721.006) [-667.027] -- 0:02:36
909000 -- (-726.614) (-715.845) (-699.064) [-658.089] * (-711.146) (-692.149) (-717.446) [-661.332] -- 0:02:34
910000 -- (-717.124) (-700.213) (-705.914) [-660.450] * (-704.177) (-706.054) (-723.232) [-665.220] -- 0:02:33
Average standard deviation of split frequencies: 0.023615
911000 -- (-713.111) (-701.845) (-722.159) [-654.251] * (-703.712) (-703.690) (-712.594) [-668.783] -- 0:02:31
912000 -- (-726.730) (-704.786) (-721.853) [-667.899] * (-710.179) (-704.098) (-724.610) [-657.109] -- 0:02:29
913000 -- (-720.964) (-698.052) (-712.204) [-665.275] * (-702.658) (-713.679) (-704.724) [-660.286] -- 0:02:28
914000 -- (-726.900) (-705.450) (-703.157) [-664.132] * (-710.243) (-706.789) (-701.390) [-654.968] -- 0:02:26
915000 -- (-725.919) (-712.708) (-714.730) [-662.518] * (-715.781) (-722.740) (-708.988) [-671.572] -- 0:02:24
Average standard deviation of split frequencies: 0.022733
916000 -- (-725.535) (-704.314) (-733.535) [-657.944] * (-722.205) (-716.180) (-709.579) [-661.022] -- 0:02:23
917000 -- (-725.740) (-698.675) (-725.160) [-661.289] * (-714.251) (-711.133) (-705.625) [-660.034] -- 0:02:21
918000 -- (-733.780) (-704.009) (-731.054) [-657.222] * (-708.384) (-723.156) (-706.290) [-654.782] -- 0:02:19
919000 -- (-746.947) (-711.117) (-723.068) [-655.954] * (-705.483) (-710.515) (-721.022) [-664.725] -- 0:02:18
920000 -- (-736.866) (-704.231) (-722.669) [-658.877] * (-700.254) (-713.498) (-720.118) [-660.810] -- 0:02:16
Average standard deviation of split frequencies: 0.022229
921000 -- (-720.102) (-705.874) (-710.984) [-661.351] * (-705.342) (-715.876) (-709.925) [-659.198] -- 0:02:14
922000 -- (-728.094) (-704.720) (-705.037) [-657.550] * (-691.758) (-712.183) (-723.614) [-657.731] -- 0:02:12
923000 -- (-737.246) (-707.922) (-703.530) [-670.204] * (-691.142) (-709.191) (-719.706) [-663.560] -- 0:02:11
924000 -- (-743.370) (-707.577) (-706.689) [-667.397] * (-700.522) (-725.367) (-708.602) [-670.696] -- 0:02:09
925000 -- (-730.872) (-713.669) (-708.462) [-672.632] * (-705.514) (-730.742) (-719.994) [-660.469] -- 0:02:07
Average standard deviation of split frequencies: 0.021697
926000 -- (-727.766) (-711.935) (-706.787) [-674.680] * (-715.589) (-725.134) (-707.610) [-652.773] -- 0:02:06
927000 -- (-721.842) (-708.430) (-699.386) [-676.765] * (-710.574) (-729.620) (-713.356) [-661.149] -- 0:02:04
928000 -- (-711.211) (-700.627) (-699.137) [-669.655] * (-704.646) (-722.211) (-708.088) [-658.020] -- 0:02:02
929000 -- (-708.025) (-707.759) (-690.551) [-665.404] * (-709.031) (-730.014) (-717.550) [-656.211] -- 0:02:00
930000 -- (-719.203) (-713.230) (-699.712) [-666.199] * (-706.038) (-728.018) (-720.170) [-656.435] -- 0:01:59
Average standard deviation of split frequencies: 0.021396
931000 -- (-722.426) (-704.174) (-710.042) [-666.122] * (-715.135) (-721.720) (-726.065) [-656.799] -- 0:01:57
932000 -- (-712.480) (-702.023) (-701.296) [-656.217] * (-692.181) (-718.012) (-718.431) [-669.809] -- 0:01:55
933000 -- (-710.592) (-708.867) (-703.350) [-654.943] * (-700.007) (-705.771) (-720.026) [-669.313] -- 0:01:54
934000 -- (-703.858) (-709.642) (-709.131) [-655.704] * (-706.325) (-702.186) (-717.919) [-669.485] -- 0:01:52
935000 -- (-718.666) (-712.041) (-705.958) [-652.992] * (-718.569) (-701.947) (-724.085) [-668.137] -- 0:01:50
Average standard deviation of split frequencies: 0.021431
936000 -- (-721.522) (-712.584) (-697.714) [-656.229] * (-711.439) (-712.724) (-729.123) [-660.013] -- 0:01:49
937000 -- (-727.042) (-709.014) (-711.076) [-658.442] * (-702.163) (-707.985) (-716.560) [-665.631] -- 0:01:47
938000 -- (-731.148) (-705.266) (-709.738) [-656.145] * (-713.432) (-706.261) (-706.294) [-665.780] -- 0:01:45
939000 -- (-721.926) (-706.778) (-699.894) [-667.254] * (-723.145) (-719.589) (-704.330) [-666.079] -- 0:01:43
940000 -- (-722.361) (-705.513) (-707.409) [-667.972] * (-709.894) (-716.583) (-713.778) [-660.958] -- 0:01:42
Average standard deviation of split frequencies: 0.022050
941000 -- (-719.984) (-706.745) (-708.034) [-671.798] * (-714.234) (-709.922) (-715.909) [-666.164] -- 0:01:40
942000 -- (-740.554) (-714.989) (-699.880) [-665.733] * (-721.525) (-704.432) (-710.771) [-671.273] -- 0:01:38
943000 -- (-746.229) (-711.460) (-713.715) [-664.809] * (-716.969) (-705.540) (-712.222) [-672.675] -- 0:01:37
944000 -- (-744.899) (-711.394) (-727.705) [-659.494] * (-723.201) (-704.840) (-710.618) [-656.265] -- 0:01:35
945000 -- (-748.823) (-706.171) (-716.583) [-664.121] * (-718.777) (-715.156) (-706.195) [-658.278] -- 0:01:33
Average standard deviation of split frequencies: 0.022390
946000 -- (-749.324) (-701.090) (-718.873) [-658.204] * (-704.837) (-708.453) (-718.185) [-662.541] -- 0:01:32
947000 -- (-741.582) (-700.163) (-709.786) [-660.837] * (-693.142) (-713.290) (-715.171) [-665.448] -- 0:01:30
948000 -- (-723.712) (-706.479) (-716.789) [-655.153] * (-708.694) (-708.427) (-718.848) [-677.046] -- 0:01:28
949000 -- (-725.541) (-699.172) (-725.196) [-649.981] * (-706.068) (-707.709) (-716.836) [-669.997] -- 0:01:26
950000 -- (-745.254) (-694.887) (-715.595) [-656.294] * (-701.933) (-700.842) (-712.446) [-670.027] -- 0:01:25
Average standard deviation of split frequencies: 0.022331
951000 -- (-735.857) (-711.796) (-713.092) [-659.036] * (-707.497) (-712.563) (-704.253) [-658.942] -- 0:01:23
952000 -- (-749.817) (-716.267) (-713.372) [-660.614] * (-704.622) (-714.303) (-702.224) [-668.399] -- 0:01:21
953000 -- (-723.123) (-719.654) (-706.597) [-661.037] * (-700.717) (-706.536) (-706.114) [-666.608] -- 0:01:20
954000 -- (-719.888) (-709.914) (-705.647) [-663.166] * (-702.366) (-719.391) (-706.167) [-663.286] -- 0:01:18
955000 -- (-734.307) (-708.319) (-711.722) [-674.602] * (-694.867) (-707.953) (-705.311) [-666.633] -- 0:01:16
Average standard deviation of split frequencies: 0.022547
956000 -- (-732.609) (-705.845) (-701.925) [-681.995] * (-700.949) (-716.144) (-708.549) [-674.692] -- 0:01:14
957000 -- (-739.248) (-713.377) (-712.926) [-665.335] * (-705.096) (-726.173) (-702.542) [-664.591] -- 0:01:13
958000 -- (-746.056) (-717.383) (-703.636) [-663.895] * (-697.128) (-721.084) (-715.408) [-662.699] -- 0:01:11
959000 -- (-742.075) (-711.120) (-702.636) [-658.904] * (-690.384) (-717.401) (-716.481) [-659.930] -- 0:01:09
960000 -- (-732.515) (-720.886) (-700.520) [-660.043] * (-699.389) (-711.603) (-715.791) [-666.596] -- 0:01:08
Average standard deviation of split frequencies: 0.022911
961000 -- (-736.424) (-717.613) (-709.333) [-679.024] * (-698.077) (-713.973) (-715.390) [-662.249] -- 0:01:06
962000 -- (-728.193) (-724.077) (-698.042) [-674.506] * (-704.790) (-713.986) (-715.095) [-661.171] -- 0:01:04
963000 -- (-732.657) (-726.838) (-703.275) [-672.989] * (-704.792) (-714.749) (-712.149) [-668.587] -- 0:01:03
964000 -- (-736.721) (-724.601) (-705.206) [-671.781] * (-711.877) (-715.919) (-708.342) [-658.455] -- 0:01:01
965000 -- (-742.789) (-717.930) (-708.150) [-666.180] * (-719.509) (-721.648) (-705.274) [-667.765] -- 0:00:59
Average standard deviation of split frequencies: 0.023272
966000 -- (-736.278) (-720.295) (-700.439) [-665.212] * (-718.131) (-725.294) (-703.862) [-667.411] -- 0:00:57
967000 -- (-744.208) (-722.008) (-697.473) [-662.624] * (-704.712) (-722.598) (-704.296) [-669.797] -- 0:00:56
968000 -- (-738.438) (-729.377) (-712.936) [-660.017] * (-714.685) (-719.841) (-714.063) [-663.578] -- 0:00:54
969000 -- (-725.273) (-731.989) (-704.199) [-666.904] * (-706.239) (-723.276) (-714.976) [-666.991] -- 0:00:52
970000 -- (-739.008) (-737.809) (-701.670) [-671.114] * (-705.069) (-726.971) (-710.549) [-664.517] -- 0:00:51
Average standard deviation of split frequencies: 0.023780
971000 -- (-730.511) (-713.151) (-699.178) [-659.865] * (-721.618) (-718.729) (-722.424) [-660.682] -- 0:00:49
972000 -- (-728.432) (-716.105) (-704.027) [-662.391] * (-708.556) (-710.131) (-717.541) [-670.183] -- 0:00:47
973000 -- (-718.137) (-729.445) (-696.826) [-669.562] * (-704.298) (-702.199) (-712.946) [-677.048] -- 0:00:46
974000 -- (-717.267) (-723.364) (-697.907) [-659.454] * (-712.114) (-707.260) (-713.038) [-669.323] -- 0:00:44
975000 -- (-720.118) (-722.688) (-696.344) [-661.180] * (-716.077) (-712.884) (-715.199) [-671.715] -- 0:00:42
Average standard deviation of split frequencies: 0.023950
976000 -- (-713.057) (-729.431) (-701.211) [-657.534] * (-713.360) (-713.136) (-709.144) [-669.780] -- 0:00:40
977000 -- (-731.632) (-712.256) (-701.554) [-663.783] * (-708.923) (-722.984) (-713.505) [-665.374] -- 0:00:39
978000 -- (-717.006) (-705.462) (-704.301) [-669.568] * (-717.396) (-713.398) (-715.110) [-663.584] -- 0:00:37
979000 -- (-717.142) (-705.629) (-708.869) [-656.593] * (-711.496) (-719.245) (-714.801) [-667.978] -- 0:00:35
980000 -- (-724.597) (-706.281) (-706.111) [-662.747] * (-707.295) (-705.349) (-714.161) [-666.940] -- 0:00:34
Average standard deviation of split frequencies: 0.024300
981000 -- (-724.562) (-705.143) (-702.357) [-666.504] * (-722.129) (-702.732) (-722.850) [-656.020] -- 0:00:32
982000 -- (-732.718) (-696.976) (-694.460) [-676.779] * (-715.286) (-724.034) (-721.984) [-660.782] -- 0:00:30
983000 -- (-733.492) (-693.664) (-706.663) [-658.639] * (-716.201) (-727.355) (-717.243) [-653.433] -- 0:00:28
984000 -- (-723.219) (-702.787) (-711.070) [-656.210] * (-709.679) (-730.236) (-700.864) [-661.678] -- 0:00:27
985000 -- (-722.675) (-701.055) (-708.719) [-658.013] * (-699.098) (-713.034) (-704.536) [-668.794] -- 0:00:25
Average standard deviation of split frequencies: 0.024762
986000 -- (-712.072) (-707.608) (-703.032) [-655.854] * (-716.961) (-717.399) (-698.366) [-668.584] -- 0:00:23
987000 -- (-711.438) (-692.985) (-702.558) [-655.091] * (-707.128) (-718.153) (-702.327) [-681.539] -- 0:00:22
988000 -- (-712.455) (-687.550) (-701.005) [-665.120] * (-716.844) (-719.536) (-704.897) [-670.562] -- 0:00:20
989000 -- (-730.860) (-688.160) (-704.457) [-663.688] * (-704.975) (-726.381) (-696.875) [-670.474] -- 0:00:18
990000 -- (-724.091) (-693.321) (-702.389) [-659.204] * (-710.973) (-711.387) (-709.569) [-664.005] -- 0:00:17
Average standard deviation of split frequencies: 0.025072
991000 -- (-728.365) (-693.470) (-713.097) [-656.451] * (-711.422) (-715.015) (-708.890) [-662.211] -- 0:00:15
992000 -- (-726.109) (-697.985) (-711.358) [-658.741] * (-718.426) (-718.988) (-706.408) [-654.282] -- 0:00:13
993000 -- (-724.648) (-693.921) (-721.789) [-662.833] * (-704.542) (-718.894) (-712.443) [-654.155] -- 0:00:11
994000 -- (-736.389) (-698.154) (-723.567) [-663.153] * (-704.878) (-717.315) (-703.453) [-650.485] -- 0:00:10
995000 -- (-726.410) (-695.699) (-711.175) [-670.307] * (-697.131) (-713.029) (-700.465) [-654.398] -- 0:00:08
Average standard deviation of split frequencies: 0.025623
996000 -- (-728.327) (-702.042) (-708.896) [-668.422] * (-694.251) (-706.213) (-706.214) [-652.245] -- 0:00:06
997000 -- (-718.515) (-703.404) (-696.958) [-663.121] * (-700.415) (-712.564) (-706.420) [-665.891] -- 0:00:05
998000 -- (-713.470) (-708.699) (-702.487) [-656.246] * (-699.256) (-718.830) (-704.442) [-660.163] -- 0:00:03
999000 -- (-713.266) (-704.844) (-701.485) [-659.365] * (-695.521) (-715.798) (-710.261) [-657.093] -- 0:00:01
1000000 -- (-732.625) (-700.874) (-702.714) [-662.434] * (-699.208) (-705.847) (-709.876) [-668.707] -- 0:00:00
Average standard deviation of split frequencies: 0.026024
Analysis completed in 28 mins 23 seconds
Analysis used 1700.87 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -643.03
Likelihood of best state for "cold" chain of run 2 was -680.79
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
60.6 % ( 62 %) Dirichlet(Revmat{all})
79.7 % ( 69 %) Slider(Revmat{all})
41.2 % ( 37 %) Dirichlet(Pi{all})
39.9 % ( 29 %) Slider(Pi{all})
75.8 % ( 51 %) Multiplier(Alpha{1,2})
66.2 % ( 40 %) Multiplier(Alpha{3})
78.9 % ( 54 %) Slider(Pinvar{all})
82.9 % ( 80 %) ExtSPR(Tau{all},V{all})
78.8 % ( 73 %) ExtTBR(Tau{all},V{all})
87.2 % ( 89 %) NNI(Tau{all},V{all})
66.5 % ( 63 %) ParsSPR(Tau{all},V{all})
27.7 % ( 21 %) Multiplier(V{all})
88.1 % ( 88 %) Nodeslider(V{all})
27.2 % ( 23 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
60.6 % ( 53 %) Dirichlet(Revmat{all})
79.5 % ( 67 %) Slider(Revmat{all})
40.9 % ( 30 %) Dirichlet(Pi{all})
40.1 % ( 29 %) Slider(Pi{all})
76.4 % ( 55 %) Multiplier(Alpha{1,2})
66.6 % ( 37 %) Multiplier(Alpha{3})
79.2 % ( 66 %) Slider(Pinvar{all})
82.6 % ( 83 %) ExtSPR(Tau{all},V{all})
78.6 % ( 82 %) ExtTBR(Tau{all},V{all})
87.0 % ( 90 %) NNI(Tau{all},V{all})
66.1 % ( 74 %) ParsSPR(Tau{all},V{all})
27.6 % ( 20 %) Multiplier(V{all})
88.0 % ( 90 %) Nodeslider(V{all})
26.9 % ( 24 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 165949 0.02 0.00
3 | 166542 166102 0.08
4 | 166944 167264 167199
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166530 0.02 0.00
3 | 167172 166890 0.09
4 | 166089 166424 166895
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)
+------------------------------------------------------------+ -657.21
| 2 1 2 1 |
| 2 1 |
| 1 11 2 2 2 2 22 2 2|
|1 21 2 12211 2 2 2 1 2 1 1 |
| 1 2 * 2 1111 1 2 *2 1 11 2 *2 1|
|2 1 2 2 * 11222 2 1 |
| 22 1 1 2 1 1 *2 1 12 |
| 1 22 22 2 2 2 2 2* |
| 1 2* 2 1 1 1 112 1 2 |
| 2 1 1 1 |
| 2 1 1 |
| 1 1 1 |
| 1 |
| 1 |
| 1 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -674.65
^ ^
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 -653.10 -680.35
2 -651.28 -681.74
--------------------------------------
TOTAL -651.82 -681.27
--------------------------------------
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} 0.184612 0.001737 0.110011 0.264616 0.179706 977.33 1042.71 1.000
r(A<->C){all} 0.030668 0.000897 0.000018 0.089700 0.021764 169.06 202.62 1.000
r(A<->G){all} 0.249340 0.005943 0.106337 0.397306 0.244346 112.18 132.51 1.003
r(A<->T){all} 0.073291 0.001079 0.018808 0.142278 0.069044 326.95 344.40 1.000
r(C<->G){all} 0.036630 0.001265 0.000036 0.108439 0.025414 151.43 167.85 1.001
r(C<->T){all} 0.471083 0.007971 0.298071 0.633884 0.468005 162.04 162.38 1.004
r(G<->T){all} 0.138988 0.002848 0.045785 0.244817 0.132259 182.72 211.49 1.000
pi(A){all} 0.250564 0.000638 0.201969 0.299787 0.249660 628.05 737.18 1.001
pi(C){all} 0.166906 0.000465 0.123743 0.208409 0.166411 739.31 745.75 1.000
pi(G){all} 0.217289 0.000563 0.171428 0.263425 0.216934 792.44 807.31 1.001
pi(T){all} 0.365241 0.000814 0.310085 0.421604 0.364546 569.57 651.66 1.003
alpha{1,2} 0.217691 0.118014 0.000021 0.777290 0.115231 501.79 573.21 1.000
alpha{3} 1.727885 1.259100 0.200685 4.005015 1.445424 1017.58 1030.66 1.000
pinvar{all} 0.461074 0.024394 0.139941 0.739106 0.480429 445.75 468.35 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 -- C19
2 -- C212
3 -- C5
4 -- C59
5 -- C91
6 -- C4
7 -- C160
8 -- C187
9 -- C213
10 -- C239
11 -- C262
12 -- C267
13 -- C280
14 -- C27
15 -- C37
16 -- C39
17 -- C42
18 -- C47
19 -- C51
20 -- C52
21 -- C55
22 -- C65
23 -- C215
24 -- C67
25 -- C70
26 -- C75
27 -- C79
28 -- C80
29 -- C83
30 -- C93
31 -- C95
32 -- C98
33 -- C103
34 -- C123
35 -- C107
36 -- C108
37 -- C111
38 -- C121
39 -- C14
40 -- C126
41 -- C131
42 -- C135
43 -- C6
44 -- C139
45 -- C278
46 -- C149
47 -- C151
48 -- C154
49 -- C159
50 -- C163
51 -- C164
52 -- C167
53 -- C177
54 -- C179
55 -- C182
56 -- C136
57 -- C16
58 -- C191
59 -- C192
60 -- C195
61 -- C205
62 -- C207
63 -- C210
64 -- C3
65 -- C219
66 -- C220
67 -- C246
68 -- C223
69 -- C233
70 -- C235
71 -- C238
72 -- C243
73 -- C247
74 -- C248
75 -- C251
76 -- C261
77 -- C263
78 -- C73
79 -- C35
80 -- C25
81 -- C137
82 -- C138
83 -- C48
84 -- C84
85 -- C143
86 -- C142
87 -- C87
88 -- C9
89 -- C144
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 -- .....................*..**......*...........*...*..................*...
--------------------------------------------------------------------------------
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 -- ......*............
--------------------------------------------------------------------------------
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 2998 0.998668 0.000942 0.998001 0.999334 2
93 2994 0.997335 0.000942 0.996669 0.998001 2
94 2977 0.991672 0.008009 0.986009 0.997335 2
95 2954 0.984011 0.000942 0.983344 0.984677 2
96 2931 0.976349 0.013662 0.966689 0.986009 2
97 2920 0.972685 0.014133 0.962692 0.982678 2
98 2854 0.950700 0.024497 0.933378 0.968021 2
99 2576 0.858095 0.059357 0.816123 0.900067 2
100 2379 0.792472 0.052291 0.755496 0.829447 2
101 1611 0.536642 0.108822 0.459694 0.613591 2
102 1199 0.399400 0.085267 0.339107 0.459694 2
103 1038 0.345769 0.012248 0.337109 0.354430 2
104 1020 0.339773 0.006595 0.335110 0.344437 2
105 1019 0.339440 0.007066 0.334444 0.344437 2
106 1016 0.338441 0.015075 0.327781 0.349101 2
107 1011 0.336775 0.013662 0.327115 0.346436 2
108 1010 0.336442 0.018844 0.323118 0.349767 2
109 987 0.328781 0.008951 0.322452 0.335110 2
110 972 0.323784 0.000942 0.323118 0.324450 2
111 965 0.321452 0.024968 0.303797 0.339107 2
112 957 0.318787 0.007066 0.313791 0.323784 2
113 948 0.315789 0.109293 0.238508 0.393071 2
114 548 0.182545 0.034861 0.157895 0.207195 2
115 540 0.179880 0.034861 0.155230 0.204530 2
116 478 0.159227 0.030150 0.137908 0.180546 2
117 416 0.138574 0.051820 0.101932 0.175217 2
118 358 0.119254 0.004711 0.115923 0.122585 2
119 306 0.101932 0.004711 0.098601 0.105263 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] 0.000858 0.000001 0.000000 0.002568 0.000563 1.000 2
length{all}[2] 0.000839 0.000001 0.000001 0.002602 0.000569 1.000 2
length{all}[3] 0.000885 0.000001 0.000000 0.002837 0.000581 1.001 2
length{all}[4] 0.000895 0.000001 0.000000 0.002806 0.000603 1.000 2
length{all}[5] 0.000849 0.000001 0.000000 0.002562 0.000578 1.000 2
length{all}[6] 0.001001 0.000001 0.000000 0.002968 0.000680 1.000 2
length{all}[7] 0.000865 0.000001 0.000001 0.002700 0.000575 1.000 2
length{all}[8] 0.000881 0.000001 0.000000 0.002887 0.000541 1.000 2
length{all}[9] 0.000841 0.000001 0.000001 0.002483 0.000618 1.000 2
length{all}[10] 0.000781 0.000001 0.000000 0.002275 0.000555 1.000 2
length{all}[11] 0.001658 0.000002 0.000042 0.003989 0.001353 1.002 2
length{all}[12] 0.000886 0.000001 0.000000 0.002657 0.000615 1.000 2
length{all}[13] 0.000882 0.000001 0.000000 0.002691 0.000585 1.001 2
length{all}[14] 0.002588 0.000003 0.000299 0.005726 0.002260 1.000 2
length{all}[15] 0.000899 0.000001 0.000001 0.002774 0.000586 1.000 2
length{all}[16] 0.000869 0.000001 0.000000 0.002633 0.000596 1.000 2
length{all}[17] 0.000851 0.000001 0.000000 0.002567 0.000585 1.001 2
length{all}[18] 0.000854 0.000001 0.000001 0.002530 0.000580 1.001 2
length{all}[19] 0.000841 0.000001 0.000000 0.002566 0.000579 1.001 2
length{all}[20] 0.000851 0.000001 0.000000 0.002672 0.000566 1.000 2
length{all}[21] 0.001793 0.000002 0.000036 0.004410 0.001441 1.001 2
length{all}[22] 0.001629 0.000002 0.000048 0.004009 0.001311 1.000 2
length{all}[23] 0.000865 0.000001 0.000000 0.002651 0.000578 1.001 2
length{all}[24] 0.001693 0.000002 0.000014 0.004147 0.001378 1.002 2
length{all}[25] 0.001702 0.000002 0.000027 0.003976 0.001429 1.002 2
length{all}[26] 0.001715 0.000002 0.000070 0.004429 0.001388 1.000 2
length{all}[27] 0.001717 0.000002 0.000014 0.004196 0.001420 1.000 2
length{all}[28] 0.000821 0.000001 0.000000 0.002684 0.000509 1.000 2
length{all}[29] 0.000897 0.000001 0.000000 0.002847 0.000612 1.005 2
length{all}[30] 0.002719 0.000003 0.000395 0.006082 0.002365 1.001 2
length{all}[31] 0.000819 0.000001 0.000000 0.002527 0.000525 1.004 2
length{all}[32] 0.000876 0.000001 0.000001 0.002675 0.000593 1.001 2
length{all}[33] 0.001752 0.000002 0.000012 0.004261 0.001381 1.000 2
length{all}[34] 0.000916 0.000001 0.000000 0.002818 0.000596 1.000 2
length{all}[35] 0.000911 0.000001 0.000000 0.002722 0.000613 1.000 2
length{all}[36] 0.000859 0.000001 0.000001 0.002626 0.000561 1.001 2
length{all}[37] 0.000908 0.000001 0.000000 0.002727 0.000618 1.000 2
length{all}[38] 0.000881 0.000001 0.000000 0.002550 0.000631 1.001 2
length{all}[39] 0.000858 0.000001 0.000000 0.002637 0.000586 1.000 2
length{all}[40] 0.000827 0.000001 0.000001 0.002650 0.000515 1.000 2
length{all}[41] 0.000840 0.000001 0.000001 0.002753 0.000525 1.006 2
length{all}[42] 0.000957 0.000001 0.000000 0.002959 0.000647 1.015 2
length{all}[43] 0.000876 0.000001 0.000000 0.002587 0.000608 1.001 2
length{all}[44] 0.000844 0.000001 0.000001 0.002693 0.000548 1.000 2
length{all}[45] 0.000866 0.000001 0.000000 0.002636 0.000583 1.000 2
length{all}[46] 0.000870 0.000001 0.000000 0.002534 0.000603 1.001 2
length{all}[47] 0.000857 0.000001 0.000000 0.002534 0.000598 1.004 2
length{all}[48] 0.000855 0.000001 0.000001 0.002600 0.000598 1.001 2
length{all}[49] 0.001694 0.000002 0.000042 0.004277 0.001330 1.000 2
length{all}[50] 0.000836 0.000001 0.000000 0.002492 0.000567 1.000 2
length{all}[51] 0.000921 0.000001 0.000000 0.002926 0.000597 1.000 2
length{all}[52] 0.000850 0.000001 0.000000 0.002632 0.000571 1.003 2
length{all}[53] 0.000843 0.000001 0.000000 0.002483 0.000585 1.000 2
length{all}[54] 0.000868 0.000001 0.000001 0.002586 0.000589 1.000 2
length{all}[55] 0.001759 0.000001 0.000025 0.004038 0.001540 1.000 2
length{all}[56] 0.000820 0.000001 0.000001 0.002636 0.000512 1.000 2
length{all}[57] 0.000880 0.000001 0.000001 0.002628 0.000613 1.000 2
length{all}[58] 0.000873 0.000001 0.000001 0.002802 0.000551 1.000 2
length{all}[59] 0.000889 0.000001 0.000000 0.002664 0.000620 1.002 2
length{all}[60] 0.000840 0.000001 0.000000 0.002685 0.000557 1.001 2
length{all}[61] 0.001785 0.000002 0.000043 0.004305 0.001442 1.002 2
length{all}[62] 0.000896 0.000001 0.000000 0.002756 0.000580 1.000 2
length{all}[63] 0.000888 0.000001 0.000000 0.002731 0.000564 1.003 2
length{all}[64] 0.000860 0.000001 0.000000 0.002700 0.000570 1.001 2
length{all}[65] 0.003299 0.000003 0.000606 0.006911 0.002919 1.006 2
length{all}[66] 0.000827 0.000001 0.000000 0.002507 0.000554 1.000 2
length{all}[67] 0.000824 0.000001 0.000000 0.002625 0.000543 1.000 2
length{all}[68] 0.000868 0.000001 0.000000 0.002719 0.000597 1.001 2
length{all}[69] 0.000812 0.000001 0.000000 0.002456 0.000556 1.000 2
length{all}[70] 0.000875 0.000001 0.000000 0.002705 0.000586 1.000 2
length{all}[71] 0.000873 0.000001 0.000000 0.002691 0.000575 1.000 2
length{all}[72] 0.000827 0.000001 0.000000 0.002576 0.000553 1.000 2
length{all}[73] 0.000853 0.000001 0.000000 0.002524 0.000600 1.000 2
length{all}[74] 0.000865 0.000001 0.000000 0.002660 0.000590 1.001 2
length{all}[75] 0.000930 0.000001 0.000000 0.002867 0.000629 1.001 2
length{all}[76] 0.000825 0.000001 0.000001 0.002605 0.000542 1.000 2
length{all}[77] 0.000837 0.000001 0.000000 0.002541 0.000563 1.000 2
length{all}[78] 0.000837 0.000001 0.000001 0.002434 0.000576 1.000 2
length{all}[79] 0.000843 0.000001 0.000001 0.002537 0.000573 1.000 2
length{all}[80] 0.000909 0.000001 0.000001 0.002749 0.000596 1.001 2
length{all}[81] 0.000844 0.000001 0.000000 0.002486 0.000607 1.000 2
length{all}[82] 0.000879 0.000001 0.000000 0.002541 0.000596 1.000 2
length{all}[83] 0.001714 0.000002 0.000007 0.004409 0.001382 1.000 2
length{all}[84] 0.000875 0.000001 0.000002 0.002701 0.000591 1.002 2
length{all}[85] 0.000938 0.000001 0.000001 0.002786 0.000636 1.000 2
length{all}[86] 0.000829 0.000001 0.000000 0.002441 0.000561 1.002 2
length{all}[87] 0.000843 0.000001 0.000001 0.002698 0.000536 1.002 2
length{all}[88] 0.001720 0.000002 0.000047 0.004259 0.001394 1.010 2
length{all}[89] 0.000856 0.000001 0.000000 0.002591 0.000575 1.000 2
length{all}[90] 0.000854 0.000001 0.000000 0.002555 0.000612 1.001 2
length{all}[91] 0.003854 0.000004 0.000732 0.008123 0.003433 1.002 2
length{all}[92] 0.003291 0.000004 0.000387 0.007040 0.002951 1.000 2
length{all}[93] 0.002502 0.000003 0.000181 0.005540 0.002171 1.000 2
length{all}[94] 0.001826 0.000002 0.000016 0.004672 0.001469 1.000 2
length{all}[95] 0.002159 0.000002 0.000038 0.005038 0.001858 1.008 2
length{all}[96] 0.001702 0.000002 0.000038 0.004122 0.001376 1.000 2
length{all}[97] 0.002372 0.000003 0.000030 0.005528 0.002026 1.007 2
length{all}[98] 0.001783 0.000002 0.000054 0.004412 0.001404 1.001 2
length{all}[99] 0.001713 0.000002 0.000029 0.004204 0.001394 1.000 2
length{all}[100] 0.001662 0.000002 0.000007 0.004221 0.001306 1.000 2
length{all}[101] 0.001846 0.000002 0.000050 0.004727 0.001455 0.999 2
length{all}[102] 0.001673 0.000002 0.000016 0.004150 0.001320 1.001 2
length{all}[103] 0.001042 0.000001 0.000003 0.002910 0.000701 1.000 2
length{all}[104] 0.000871 0.000001 0.000002 0.002568 0.000618 0.999 2
length{all}[105] 0.000788 0.000001 0.000000 0.002379 0.000476 1.006 2
length{all}[106] 0.000845 0.000001 0.000001 0.002716 0.000558 1.000 2
length{all}[107] 0.000810 0.000001 0.000002 0.002379 0.000548 0.999 2
length{all}[108] 0.000867 0.000001 0.000002 0.002646 0.000607 0.999 2
length{all}[109] 0.000818 0.000001 0.000000 0.002563 0.000503 1.007 2
length{all}[110] 0.000839 0.000001 0.000000 0.002718 0.000544 1.002 2
length{all}[111] 0.000862 0.000001 0.000002 0.002680 0.000586 1.000 2
length{all}[112] 0.000782 0.000001 0.000001 0.002356 0.000511 0.999 2
length{all}[113] 0.001859 0.000003 0.000085 0.004690 0.001394 1.000 2
length{all}[114] 0.000968 0.000001 0.000001 0.003041 0.000632 0.998 2
length{all}[115] 0.000994 0.000002 0.000002 0.003298 0.000615 0.999 2
length{all}[116] 0.000856 0.000001 0.000000 0.002277 0.000540 1.001 2
length{all}[117] 0.000905 0.000001 0.000000 0.002832 0.000579 1.000 2
length{all}[118] 0.001075 0.000001 0.000003 0.003230 0.000769 1.027 2
length{all}[119] 0.001219 0.000001 0.000013 0.003295 0.000933 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 = 0.026024
Maximum standard deviation of split frequencies = 0.109293
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.027
Clade credibility values:
/--------------------------------------------------------------------- C19 (1)
|
|--------------------------------------------------------------------- C5 (3)
|
|--------------------------------------------------------------------- C59 (4)
|
|--------------------------------------------------------------------- C91 (5)
|
|--------------------------------------------------------------------- C160 (7)
|
|--------------------------------------------------------------------- C187 (8)
|
|--------------------------------------------------------------------- C267 (12)
|
|--------------------------------------------------------------------- C37 (15)
|
|--------------------------------------------------------------------- C39 (16)
|
|--------------------------------------------------------------------- C42 (17)
|
|--------------------------------------------------------------------- C47 (18)
|
|--------------------------------------------------------------------- C51 (19)
|
|--------------------------------------------------------------------- C52 (20)
|
|--------------------------------------------------------------------- C79 (27)
|
|--------------------------------------------------------------------- C80 (28)
|
|--------------------------------------------------------------------- C83 (29)
|
|--------------------------------------------------------------------- C93 (30)
|
|--------------------------------------------------------------------- C95 (31)
|
|--------------------------------------------------------------------- C98 (32)
|
|--------------------------------------------------------------------- C14 (39)
|
|--------------------------------------------------------------------- C6 (43)
|
|--------------------------------------------------------------------- C139 (44)
|
|--------------------------------------------------------------------- C149 (46)
|
|--------------------------------------------------------------------- C151 (47)
|
|--------------------------------------------------------------------- C154 (48)
|
|--------------------------------------------------------------------- C163 (50)
|
|--------------------------------------------------------------------- C164 (51)
|
|--------------------------------------------------------------------- C167 (52)
|
|--------------------------------------------------------------------- C182 (55)
|
|--------------------------------------------------------------------- C136 (56)
|
|--------------------------------------------------------------------- C16 (57)
|
|--------------------------------------------------------------------- C192 (59)
|
|--------------------------------------------------------------------- C195 (60)
|
|--------------------------------------------------------------------- C205 (61)
|
|--------------------------------------------------------------------- C207 (62)
|
|--------------------------------------------------------------------- C3 (64)
|
|--------------------------------------------------------------------- C263 (77)
|
|--------------------------------------------------------------------- C35 (79)
|
|--------------------------------------------------------------------- C137 (81)
|
|--------------------------------------------------------------------- C138 (82)
|
|--------------------------------------------------------------------- C84 (84)
|
|--------------------------------------------------------------------- C143 (85)
|
|--------------------------------------------------------------------- C142 (86)
|
|--------------------------------------------------------------------- C87 (87)
|
|--------------------------------------------------------------------- C9 (88)
+
|--------------------------------------------------------------------- C144 (89)
|
|--------------------------------------------------------------------- C145 (90)
|
| /---------- C212 (2)
| /-----------------------98-----------------------+
| | \---------- C210 (63)
| |
| | /---------- C213 (9)
| | |
| | /------------------99------------------+---------- C215 (23)
| | | |
| | | \---------- C220 (66)
| | |
| | | /-------------------- C239 (10)
| | | |
| | | |-------------------- C262 (11)
| | | |
| | | |-------------------- C280 (13)
| | | |
| | | |-------------------- C27 (14)
| | | |
| | | |-------------------- C55 (21)
| | | |
| | | |-------------------- C67 (24)
|---100---+ | |
| | | | /---------- C123 (34)
| | | | |
| | | |----98---+---------- C121 (38)
| | | | |
| | | | \---------- C243 (72)
| | | |
| | | |-------------------- C107 (35)
| | | |
| | | |-------------------- C108 (36)
| | | |
| | | /----79---+-------------------- C111 (37)
| | | | |
| | | | |-------------------- C126 (40)
| | | | |
| | | | |-------------------- C131 (41)
| | | | |
| | | | |-------------------- C246 (67)
| | | | |
| \----54---+ | |-------------------- C233 (69)
| | | |
| | | |-------------------- C235 (70)
| | | |
| | | |-------------------- C238 (71)
| | | |
| | | |-------------------- C247 (73)
| | | |
| | | |-------------------- C248 (74)
| | | |
| | | |-------------------- C251 (75)
| | /---100--+ |
| | | | |-------------------- C261 (76)
| | | | |
| | | | \-------------------- C48 (83)
| | | |
| | | |------------------------------ C65 (22)
| | | |
| | | | /---------- C70 (25)
| | | |---------95--------+
| | | | \---------- C103 (33)
| | | |
| |---100---+ |------------------------------ C75 (26)
| | | |
| | | |------------------------------ C278 (45)
| | | |
| | | |------------------------------ C159 (49)
| | | |
| | | |------------------------------ C223 (68)
| | | |
| | | \------------------------------ C73 (78)
| | |
| | \--------------------------------------- C25 (80)
| |
| \------------------------------------------------- C219 (65)
|
| /---------- C177 (53)
| |
|----------------------------97----------------------------+---------- C179 (54)
| |
| \---------- C191 (58)
|
| /---------- C4 (6)
\----------------------------86----------------------------+
\---------- C135 (42)
Phylogram (based on average branch lengths):
/--- C19 (1)
|
|--- C5 (3)
|
|--- C59 (4)
|
|--- C91 (5)
|
|--- C160 (7)
|
|--- C187 (8)
|
|--- C267 (12)
|
|--- C37 (15)
|
|--- C39 (16)
|
|--- C42 (17)
|
|--- C47 (18)
|
|--- C51 (19)
|
|--- C52 (20)
|
|------- C79 (27)
|
|--- C80 (28)
|
|--- C83 (29)
|
|------------ C93 (30)
|
|--- C95 (31)
|
|--- C98 (32)
|
|--- C14 (39)
|
|--- C6 (43)
|
|--- C139 (44)
|
|--- C149 (46)
|
|--- C151 (47)
|
|--- C154 (48)
|
|--- C163 (50)
|
|--- C164 (51)
|
|--- C167 (52)
|
|-------- C182 (55)
|
|--- C136 (56)
|
|--- C16 (57)
|
|--- C192 (59)
|
|--- C195 (60)
|
|------- C205 (61)
|
|--- C207 (62)
|
|--- C3 (64)
|
|--- C263 (77)
|
|--- C35 (79)
|
|--- C137 (81)
|
|--- C138 (82)
|
|--- C84 (84)
|
|--- C143 (85)
|
|--- C142 (86)
|
|--- C87 (87)
|
|------- C9 (88)
+
|--- C144 (89)
|
|--- C145 (90)
|
| /--- C212 (2)
| /---------+
| | \--- C210 (63)
| |
| | /--- C213 (9)
| | |
| | /------+--- C215 (23)
| | | |
| | | \--- C220 (66)
| | |
| | | /--- C239 (10)
| | | |
| | | |------- C262 (11)
| | | |
| | | |--- C280 (13)
| | | |
| | | |------------ C27 (14)
| | | |
| | | |-------- C55 (21)
| | | |
| | | |------- C67 (24)
|--------------+ | |
| | | | /---- C123 (34)
| | | | |
| | | |------+---- C121 (38)
| | | | |
| | | | \--- C243 (72)
| | | |
| | | |---- C107 (35)
| | | |
| | | |--- C108 (36)
| | | |
| | | /-----+---- C111 (37)
| | | | |
| | | | |--- C126 (40)
| | | | |
| | | | |--- C131 (41)
| | | | |
| | | | |--- C246 (67)
| | | | |
| \-------+ | |--- C233 (69)
| | | |
| | | |--- C235 (70)
| | | |
| | | |--- C238 (71)
| | | |
| | | |--- C247 (73)
| | | |
| | | |--- C248 (74)
| | | |
| | | |---- C251 (75)
| | /-----------+ |
| | | | |--- C261 (76)
| | | | |
| | | | \------- C48 (83)
| | | |
| | | |------ C65 (22)
| | | |
| | | | /------- C70 (25)
| | | |------+
| | | | \------- C103 (33)
| | | |
| |----------------+ |------- C75 (26)
| | | |
| | | |--- C278 (45)
| | | |
| | | |------ C159 (49)
| | | |
| | | |--- C223 (68)
| | | |
| | | \--- C73 (78)
| | |
| | \--- C25 (80)
| |
| \--------------- C219 (65)
|
| /--- C177 (53)
| |
|---------+--- C179 (54)
| |
| \--- C191 (58)
|
| /---- C4 (6)
\------+
\---- C135 (42)
|---------| 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: `(C19,C5,C59,C91,C160,C187,C267,C37,C39,C42,C47,C51,C52,C79,C80,C83,C93,C95,C98,C14,C6,C139,C149,C151,C154,C163,C164,C167,C182,C136,C16,C192,C195,C205,C207,C3,C263,C35,C137,C138,C84,C143,C142,C87,C9,C144,C145,((C212,C210),((C213,C215,C220),(((C239,C262,C280,C27,C55,C67,(C123,C121,C243),C107,C108,C111,C126,C131,C246,C233,C235,C238,C247,C248,C251,C261,C48),C65,(C70,C103),C75,C278,C159,C223,C73),C25),C219)),(C177,C179,C191),(C4,C135))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **90** sequences, **89** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_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_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_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) = -612.69, AIC-c = 1444.38 (109 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.143
### 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 = 0.429
* 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=0.24 sec, SCORE=1000, Nseq=90, Len=89
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_19 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_167 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_115 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_123 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_178 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_136 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_146 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_13 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_144 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_112 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_19 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_11 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_160 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_187 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_113 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_139 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_162 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_180 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_17 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_17 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_19 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_12 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_17 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_11 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_12 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_17 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_10 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_19 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_10 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_13 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_13 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_18 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_103 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_107 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_108 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_111 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_121 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_14 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_126 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_131 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_135 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_139 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_149 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_151 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_154 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_159 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_163 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_164 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_167 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_177 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_179 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_182 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_16 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_191 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_192 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_195 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_105 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_107 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_110 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_119 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_120 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_123 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_133 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_135 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_138 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_143 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_147 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_148 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_151 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_161 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_163 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_15 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_137 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_138 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_18 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_14 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_143 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_142 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_17 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_145 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE
*****************************:***************.****
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_19 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_167 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_115 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_123 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_178 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_136 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_146 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_13 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_144 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_112 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_19 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_11 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1 KLAQLLIILFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_160 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_187 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_113 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_139 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_162 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYVKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_180 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_17 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_17 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_19 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_12 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_17 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_11 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_12 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_17 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_10 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1783A_10_nsp4_VIPR_ALG4_744516694_11718_11984_1_2010_01_China_Human_Betacoronavirus_19 KLAQLLIVLFANPAAVDSKCLTSIEGVCDDYAKDNTVLQ
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_10 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_13 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_13 KLAQLLIVLFANPAAVDGKCLTSIEEVCDDYAKDNTVLQ
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_18 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_103 KLAQLLIVLFANPAAVDSKCLSSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_107 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_108 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_111 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_121 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_14 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_126 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_131 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_135 KLAQLLIILFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_139 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_149 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_151 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_154 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_159 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_163 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_164 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_167 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_177 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_179 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_182 KLAQLLIVLFANPAAVDSKCLASIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_16 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_191 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_192 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_195 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_105 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_107 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_110 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_119 KLAQLLIVLFANPAAVDSKCLTSIGEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_120 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_123 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_133 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_135 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_138 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_143 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_147 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_148 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_151 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_161 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_163 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10108_2010_nsp4_VIPR_ALG4_701216841_11718_11984_1_2010_05_China_Human_Betacoronavirus_15 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_137 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_138 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_18 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_14 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_143 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_142 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
12689_2012_nsp4_VIPR_ALG4_701216729_11718_11984_1_2012_05_China_Human_Betacoronavirus_17 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
10285_2010_nsp4_VIPR_ALG4_701216680_11718_11984_1_2010_07_China_Human_Betacoronavirus_145 KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
*******:*********.***:** *****.*******
>229_2005_nsp4_VIPR_ALG4_701216750_11718_11984_1_2005_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >TNP_F1832_2_nsp4_VIPR_ALG4_AWW13532_1_11695_11961_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp4_VIPR_ALG4_ARC95241_1_11720_11986_1_2015_08_01_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTTACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_26_nsp4_VIPR_ALG4_BBM61174_1_11691_11957_1_2017_02_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCGCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >UNKNOWN_FJ425189_nsp4_VIPR_ALG4_215478151_11689_11955_1_1994_01_01_USA_Deer_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >MDS11_nsp4_VIPR_ALG4_QBP84728_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_24_nsp4_VIPR_ALG4_BBM61484_1_11687_11953_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >E_AH187_TC_nsp4_VIPR_ALG4_251748090_11703_11969_1_2000_01_01_USA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U002_12_nsp4_VIPR_ALG4_AQN78653_1_11718_11984_1_2012_02_22_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU0582_2015_nsp4_VIPR_ALG4_ARC95217_1_11680_11946_1_2015_08_20_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCATTATTGTAGTACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >BJ_124_nsp4_VIPR_ALG4_AXX83300_1_11623_11889_1_2015_05_06_China_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC9428_2018_nsp4_VIPR_ALG4_QEG03800_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTATTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >N07_1541B_433X_nsp4_VIPR_ALG4_ARE29993_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_912_10_1991_nsp4_VIPR_ALG4_530802237_11712_11978_1_1991_02_07_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU1209_2015_nsp4_VIPR_ALG4_ARC95233_1_11680_11946_1_2015_07_25_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTTACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_18_nsp4_VIPR_ALG4_BBM61404_1_11688_11954_1_2016_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_8_nsp4_VIPR_ALG4_BBM61394_1_11692_11958_1_2008_01_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGTAAAGGACAATACTGTTTTGCAG >US_OH1_2003_nsp4_VIPR_ALG4_145208957_11704_11970_1_NA_USA_Antelope_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >4_17_03_nsp4_VIPR_ALG4_AVZ61096_1_11719_11985_1_2017_04_USA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGACTACGCAAAGGACAATACTGTTTTGCAG >5479_2007_nsp4_VIPR_ALG4_701216792_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >5484_2007_nsp4_VIPR_ALG4_701216799_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >5508_2007_nsp4_VIPR_ALG4_701216813_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >69A_2007_nsp4_VIPR_ALG4_701216862_11718_11984_1_2007_05_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >892A_2008_nsp4_VIPR_ALG4_701216876_11718_11984_1_2008_10_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >ATCC_VR_759_ORF1ab_YP_009555259_1_NA_USA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >BCoV_ENT_nsp4_VIPR_ALG4_NP_150073_3_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >DB2_nsp4_VIPR_ALG4_331264482_11704_11970_1_1983_NA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAACGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACACTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp4_VIPR_ALG4_QEY10654_1_11709_11975_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 TCAAAATTGACAGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >E_AH65_nsp4_VIPR_ALG4_145208890_11719_11985_1_NA_USA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTAGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC0682_2019_nsp4_VIPR_ALG4_QEG03736_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGGAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC0810_2019_nsp4_VIPR_ALG4_QEG03753_1_11715_11981_1_2019_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC2345_2015_nsp4_VIPR_ALG4_ARK08675_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_UK_London_2011_nsp4_VIPR_ALG4_998640292_11720_11986_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATGGCAAGTGTCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_USA_ACRI_0213_2016_nsp4_VIPR_ALG4_AZP73837_1_11715_11981_1_2016_12_19_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_USA_TCNP_0070_2016_nsp4_VIPR_ALG4_ATN39862_1_11713_11979_1_2016_02_01_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HKU23_368F_nsp4_VIPR_ALG4_600997095_11723_11989_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 TCAAAATTGACAGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGTCTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_11_nsp4_VIPR_ALG4_BBM61024_1_11692_11958_1_2013_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_13_nsp4_VIPR_ALG4_BBM61044_1_11684_11950_1_2015_06_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_15_nsp4_VIPR_ALG4_BBM61064_1_11691_11957_1_2016_01_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_23_nsp4_VIPR_ALG4_BBM61144_1_11685_11951_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCGCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >2058A_10_nsp4_VIPR_ALG4_744516684_11718_11984_1_2010_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_3_nsp4_VIPR_ALG4_BBM60964_1_11695_11961_1_2011_06_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >IWT_9_nsp4_VIPR_ALG4_BBM60924_1_11695_11961_1_2012_04_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >LY342_nsp4_VIPR_ALG4_721347205_11719_11985_1_2011_10_04_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTATTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MDS2_nsp4_VIPR_ALG4_QBP84710_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U208_12_nsp4_VIPR_ALG4_AQN78661_1_11718_11984_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U413_12_nsp4_VIPR_ALG4_AQN78677_1_11718_11984_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U710_12_nsp4_VIPR_ALG4_AQN78701_1_11718_11984_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >Mebus_nsp4_VIPR_ALG4_30061512_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAATATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >N07_1689B_116X_nsp4_VIPR_ALG4_ARE30002_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >N08_33B_360X_nsp4_VIPR_ALG4_ARE30011_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_KLF_01_2018_nsp4_VIPR_ALG4_QDH43722_1_11772_12038_1_2018_01_18_Kenya_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_873_6_1987_nsp4_VIPR_ALG4_530802456_11699_11965_1_1987_03_05_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAACTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_901_41_1990_nsp4_VIPR_ALG4_530802215_11699_11965_1_1990_01_17_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAACTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_901_54_1990_nsp4_VIPR_ALG4_530802467_11699_11965_1_1990_01_23_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGGCTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >2145A_2010_nsp4_VIPR_ALG4_701216631_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_9211_43_1992_nsp4_VIPR_ALG4_530802566_11699_11965_1_1992_11_30_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAACTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_913_29_1991_nsp4_VIPR_ALG4_530802368_11699_11965_1_1991_03_14_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_925_1_1992_nsp4_VIPR_ALG4_530802281_11699_11965_1_1992_05_04_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_982_4_1998_nsp4_VIPR_ALG4_530802259_11699_11965_1_1998_02_05_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTGTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >OC43_human_USA_991_19_1999_nsp4_VIPR_ALG4_530802270_11700_11966_1_1999_01_15_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp4_VIPR_ALG4_ARC95209_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCATTATTGTAGTACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp4_VIPR_ALG4_ARC95200_1_11680_11946_1_2015_09_15_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCCGTGGATAGCAAGTGCCTGACTAGTATTGGAGAAGTTTGCGATGATTACGCTAAGGACAATACTGTTTTGCAG >PHEV_CoV_swine_USA_15TOSU1785_2015_nsp4_VIPR_ALG4_ARC95225_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATTTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTTACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >R_AH65_TC_nsp4_VIPR_ALG4_145208921_11703_11969_1_NA_USA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_13_nsp4_VIPR_ALG4_BBM61334_1_11692_11958_1_2009_01_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_14_nsp4_VIPR_ALG4_BBM61344_1_11695_11961_1_2009_03_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_17_nsp4_VIPR_ALG4_BBM61414_1_11692_11958_1_2016_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_21_nsp4_VIPR_ALG4_BBM61454_1_11683_11949_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCGCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_25_nsp4_VIPR_ALG4_BBM61494_1_11690_11956_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_26_nsp4_VIPR_ALG4_BBM61504_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_29_nsp4_VIPR_ALG4_BBM61534_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TCG_9_nsp4_VIPR_ALG4_BBM61424_1_11680_11946_1_2008_03_Japan_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >TNP_12636_nsp4_VIPR_ALG4_AWW13571_1_11712_11978_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >5445_2007_nsp4_VIPR_ALG4_701216785_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >4408_nsp4_VIPR_ALG4_212571733_11719_11985_1_1988_Germany_Human_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAACTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MDS14_nsp4_VIPR_ALG4_QBP84746_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MDS12_nsp4_VIPR_ALG4_QBP84737_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >7_16_23_nsp4_VIPR_ALG4_AVZ61126_1_11719_11985_1_2016_07_USA_Cattle_Betacoronavirus_1 TCAAAATTGACTGATGTTAAATGTGCTAATGTTGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCAGTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCTGATCTGGGTGTTGCTTTTGAAAAGCTTGCTCAGTTGTTAATTGTTTTGTTTGCTAACCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGACGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC2476_2015_nsp4_VIPR_ALG4_ARK08667_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U1024_12_nsp4_VIPR_ALG4_AQN78741_1_11718_11984_1_2012_08_24_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MDS4_nsp4_VIPR_ALG4_QBP84719_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >HCoV_OC43_Seattle_USA_SC2854_2015_nsp4_VIPR_ALG4_ARU07583_1_11684_11950_1_2015_USA_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACACTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG >MY_U1057_12_nsp4_VIPR_ALG4_AQN78749_1_11718_11984_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 TCAAAATTGACTGATGTCAAATGTGCTAATGTCGTCTTGCTTAATTGCTTGCAACATTTGCATGTTGCTTCTAATTCTAAGTTGTGGCATTATTGTAGCACTTTGCACAATGAAATACTTGCCACTTCGGATCTGAGTGTTGCTTTTGAAAAGCTTGCTCAGTTATTAATTGTTTTGTTTGCTAATCCAGCTGCTGTGGATAGCAAGTGCCTGACTAGTATTGAAGAAGTTTGCGATGATTACGCAAAGGACAATACTGTTTTGCAG
>229_2005_nsp4_VIPR_ALG4_701216750_11718_11984_1_2005_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TNP_F1832_2_nsp4_VIPR_ALG4_AWW13532_1_11695_11961_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp4_VIPR_ALG4_ARC95241_1_11720_11986_1_2015_08_01_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_26_nsp4_VIPR_ALG4_BBM61174_1_11691_11957_1_2017_02_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >UNKNOWN_FJ425189_nsp4_VIPR_ALG4_215478151_11689_11955_1_1994_01_01_USA_Deer_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MDS11_nsp4_VIPR_ALG4_QBP84728_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_24_nsp4_VIPR_ALG4_BBM61484_1_11687_11953_1_2017_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >E_AH187_TC_nsp4_VIPR_ALG4_251748090_11703_11969_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U002_12_nsp4_VIPR_ALG4_AQN78653_1_11718_11984_1_2012_02_22_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU0582_2015_nsp4_VIPR_ALG4_ARC95217_1_11680_11946_1_2015_08_20_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >BJ_124_nsp4_VIPR_ALG4_AXX83300_1_11623_11889_1_2015_05_06_China_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC9428_2018_nsp4_VIPR_ALG4_QEG03800_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIILFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >N07_1541B_433X_nsp4_VIPR_ALG4_ARE29993_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_912_10_1991_nsp4_VIPR_ALG4_530802237_11712_11978_1_1991_02_07_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU1209_2015_nsp4_VIPR_ALG4_ARC95233_1_11680_11946_1_2015_07_25_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_18_nsp4_VIPR_ALG4_BBM61404_1_11688_11954_1_2016_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_8_nsp4_VIPR_ALG4_BBM61394_1_11692_11958_1_2008_01_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYVKDNTVLQ >US_OH1_2003_nsp4_VIPR_ALG4_145208957_11704_11970_1_NA_USA_Antelope_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >4_17_03_nsp4_VIPR_ALG4_AVZ61096_1_11719_11985_1_2017_04_USA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >5479_2007_nsp4_VIPR_ALG4_701216792_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >5484_2007_nsp4_VIPR_ALG4_701216799_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >5508_2007_nsp4_VIPR_ALG4_701216813_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >69A_2007_nsp4_VIPR_ALG4_701216862_11718_11984_1_2007_05_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >892A_2008_nsp4_VIPR_ALG4_701216876_11718_11984_1_2008_10_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >ATCC_VR_759_ORF1ab_YP_009555259_1_NA_USA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >BCoV_ENT_nsp4_VIPR_ALG4_NP_150073_3_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >DB2_nsp4_VIPR_ALG4_331264482_11704_11970_1_1983_NA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp4_VIPR_ALG4_QEY10654_1_11709_11975_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >E_AH65_nsp4_VIPR_ALG4_145208890_11719_11985_1_NA_USA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC0682_2019_nsp4_VIPR_ALG4_QEG03736_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEGVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC0810_2019_nsp4_VIPR_ALG4_QEG03753_1_11715_11981_1_2019_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC2345_2015_nsp4_VIPR_ALG4_ARK08675_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_UK_London_2011_nsp4_VIPR_ALG4_998640292_11720_11986_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDGKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_USA_ACRI_0213_2016_nsp4_VIPR_ALG4_AZP73837_1_11715_11981_1_2016_12_19_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_USA_TCNP_0070_2016_nsp4_VIPR_ALG4_ATN39862_1_11713_11979_1_2016_02_01_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HKU23_368F_nsp4_VIPR_ALG4_600997095_11723_11989_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLSSIEEVCDDYAKDNTVLQ >IWT_11_nsp4_VIPR_ALG4_BBM61024_1_11692_11958_1_2013_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_13_nsp4_VIPR_ALG4_BBM61044_1_11684_11950_1_2015_06_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_15_nsp4_VIPR_ALG4_BBM61064_1_11691_11957_1_2016_01_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_23_nsp4_VIPR_ALG4_BBM61144_1_11685_11951_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >2058A_10_nsp4_VIPR_ALG4_744516684_11718_11984_1_2010_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_3_nsp4_VIPR_ALG4_BBM60964_1_11695_11961_1_2011_06_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >IWT_9_nsp4_VIPR_ALG4_BBM60924_1_11695_11961_1_2012_04_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >LY342_nsp4_VIPR_ALG4_721347205_11719_11985_1_2011_10_04_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIILFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MDS2_nsp4_VIPR_ALG4_QBP84710_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U208_12_nsp4_VIPR_ALG4_AQN78661_1_11718_11984_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U413_12_nsp4_VIPR_ALG4_AQN78677_1_11718_11984_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U710_12_nsp4_VIPR_ALG4_AQN78701_1_11718_11984_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >Mebus_nsp4_VIPR_ALG4_30061512_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >N07_1689B_116X_nsp4_VIPR_ALG4_ARE30002_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >N08_33B_360X_nsp4_VIPR_ALG4_ARE30011_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_KLF_01_2018_nsp4_VIPR_ALG4_QDH43722_1_11772_12038_1_2018_01_18_Kenya_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_873_6_1987_nsp4_VIPR_ALG4_530802456_11699_11965_1_1987_03_05_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_901_41_1990_nsp4_VIPR_ALG4_530802215_11699_11965_1_1990_01_17_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_901_54_1990_nsp4_VIPR_ALG4_530802467_11699_11965_1_1990_01_23_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLASIEEVCDDYAKDNTVLQ >2145A_2010_nsp4_VIPR_ALG4_701216631_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_9211_43_1992_nsp4_VIPR_ALG4_530802566_11699_11965_1_1992_11_30_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_913_29_1991_nsp4_VIPR_ALG4_530802368_11699_11965_1_1991_03_14_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_925_1_1992_nsp4_VIPR_ALG4_530802281_11699_11965_1_1992_05_04_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_982_4_1998_nsp4_VIPR_ALG4_530802259_11699_11965_1_1998_02_05_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >OC43_human_USA_991_19_1999_nsp4_VIPR_ALG4_530802270_11700_11966_1_1999_01_15_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp4_VIPR_ALG4_ARC95209_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp4_VIPR_ALG4_ARC95200_1_11680_11946_1_2015_09_15_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIGEVCDDYAKDNTVLQ >PHEV_CoV_swine_USA_15TOSU1785_2015_nsp4_VIPR_ALG4_ARC95225_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >R_AH65_TC_nsp4_VIPR_ALG4_145208921_11703_11969_1_NA_USA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_13_nsp4_VIPR_ALG4_BBM61334_1_11692_11958_1_2009_01_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_14_nsp4_VIPR_ALG4_BBM61344_1_11695_11961_1_2009_03_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_17_nsp4_VIPR_ALG4_BBM61414_1_11692_11958_1_2016_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_21_nsp4_VIPR_ALG4_BBM61454_1_11683_11949_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_25_nsp4_VIPR_ALG4_BBM61494_1_11690_11956_1_2017_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_26_nsp4_VIPR_ALG4_BBM61504_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_29_nsp4_VIPR_ALG4_BBM61534_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TCG_9_nsp4_VIPR_ALG4_BBM61424_1_11680_11946_1_2008_03_Japan_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >TNP_12636_nsp4_VIPR_ALG4_AWW13571_1_11712_11978_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >5445_2007_nsp4_VIPR_ALG4_701216785_11718_11984_1_2007_06_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >4408_nsp4_VIPR_ALG4_212571733_11719_11985_1_1988_Germany_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MDS14_nsp4_VIPR_ALG4_QBP84746_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MDS12_nsp4_VIPR_ALG4_QBP84737_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >7_16_23_nsp4_VIPR_ALG4_AVZ61126_1_11719_11985_1_2016_07_USA_Cattle_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWQYCSTLHNEILATSDLGVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC2476_2015_nsp4_VIPR_ALG4_ARK08667_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U1024_12_nsp4_VIPR_ALG4_AQN78741_1_11718_11984_1_2012_08_24_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MDS4_nsp4_VIPR_ALG4_QBP84719_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >HCoV_OC43_Seattle_USA_SC2854_2015_nsp4_VIPR_ALG4_ARU07583_1_11684_11950_1_2015_USA_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ >MY_U1057_12_nsp4_VIPR_ALG4_AQN78749_1_11718_11984_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 SKLTDVKCANVVLLNCLQHLHVASNSKLWHYCSTLHNEILATSDLSVAFE KLAQLLIVLFANPAAVDSKCLTSIEEVCDDYAKDNTVLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 90 sequences of length 267
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.6%
Found 16 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 5
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: 4.00e-01 (1000 permutations)
Max Chi^2: 9.00e-03 (1000 permutations)
PHI (Permutation): 9.30e-01 (1000 permutations)
PHI (Normal): 8.74e-01
#NEXUS
[ID: 8747011797]
begin taxa;
dimensions ntax=90;
taxlabels
229_2005_nsp4_VIPR_ALG4_701216750_11718_11984_1_2005_06_China_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp4_VIPR_ALG4_ARC95217_1_11680_11946_1_2015_08_20_USA_Swine_Betacoronavirus_1
12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1
BJ_124_nsp4_VIPR_ALG4_AXX83300_1_11623_11889_1_2015_05_06_China_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC9428_2018_nsp4_VIPR_ALG4_QEG03800_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1
10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1
N07_1541B_433X_nsp4_VIPR_ALG4_ARE29993_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1
OC43_human_USA_912_10_1991_nsp4_VIPR_ALG4_530802237_11712_11978_1_1991_02_07_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp4_VIPR_ALG4_ARC95233_1_11680_11946_1_2015_07_25_USA_Swine_Betacoronavirus_1
TCG_18_nsp4_VIPR_ALG4_BBM61404_1_11688_11954_1_2016_Japan_Unknown_Betacoronavirus_1
TCG_8_nsp4_VIPR_ALG4_BBM61394_1_11692_11958_1_2008_01_Japan_Unknown_Betacoronavirus_1
TNP_F1832_2_nsp4_VIPR_ALG4_AWW13532_1_11695_11961_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1
US_OH1_2003_nsp4_VIPR_ALG4_145208957_11704_11970_1_NA_USA_Antelope_Betacoronavirus_1
4_17_03_nsp4_VIPR_ALG4_AVZ61096_1_11719_11985_1_2017_04_USA_Cattle_Betacoronavirus_1
5479_2007_nsp4_VIPR_ALG4_701216792_11718_11984_1_2007_06_China_Human_Betacoronavirus_1
5484_2007_nsp4_VIPR_ALG4_701216799_11718_11984_1_2007_06_China_Human_Betacoronavirus_1
5508_2007_nsp4_VIPR_ALG4_701216813_11718_11984_1_2007_06_China_Human_Betacoronavirus_1
69A_2007_nsp4_VIPR_ALG4_701216862_11718_11984_1_2007_05_China_Human_Betacoronavirus_1
892A_2008_nsp4_VIPR_ALG4_701216876_11718_11984_1_2008_10_China_Human_Betacoronavirus_1
ATCC_VR_759_ORF1ab_YP_009555259_1_NA_USA_Unknown_Betacoronavirus_1
BCoV_ENT_nsp4_VIPR_ALG4_NP_150073_3_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1
DB2_nsp4_VIPR_ALG4_331264482_11704_11970_1_1983_NA_Cattle_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp4_VIPR_ALG4_ARC95241_1_11720_11986_1_2015_08_01_USA_Swine_Betacoronavirus_1
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp4_VIPR_ALG4_QEY10654_1_11709_11975_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1
E_AH65_nsp4_VIPR_ALG4_145208890_11719_11985_1_NA_USA_Cattle_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0682_2019_nsp4_VIPR_ALG4_QEG03736_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0810_2019_nsp4_VIPR_ALG4_QEG03753_1_11715_11981_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2345_2015_nsp4_VIPR_ALG4_ARK08675_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1
HCoV_OC43_UK_London_2011_nsp4_VIPR_ALG4_998640292_11720_11986_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1
HCoV_OC43_USA_ACRI_0213_2016_nsp4_VIPR_ALG4_AZP73837_1_11715_11981_1_2016_12_19_USA_Human_Betacoronavirus_1
HCoV_OC43_USA_TCNP_0070_2016_nsp4_VIPR_ALG4_ATN39862_1_11713_11979_1_2016_02_01_USA_Human_Betacoronavirus_1
HKU23_368F_nsp4_VIPR_ALG4_600997095_11723_11989_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1
IWT_26_nsp4_VIPR_ALG4_BBM61174_1_11691_11957_1_2017_02_Japan_Unknown_Betacoronavirus_1
IWT_11_nsp4_VIPR_ALG4_BBM61024_1_11692_11958_1_2013_12_Japan_Unknown_Betacoronavirus_1
IWT_13_nsp4_VIPR_ALG4_BBM61044_1_11684_11950_1_2015_06_Japan_Unknown_Betacoronavirus_1
IWT_15_nsp4_VIPR_ALG4_BBM61064_1_11691_11957_1_2016_01_Japan_Unknown_Betacoronavirus_1
IWT_23_nsp4_VIPR_ALG4_BBM61144_1_11685_11951_1_2016_12_Japan_Unknown_Betacoronavirus_1
2058A_10_nsp4_VIPR_ALG4_744516684_11718_11984_1_2010_06_China_Human_Betacoronavirus_1
IWT_3_nsp4_VIPR_ALG4_BBM60964_1_11695_11961_1_2011_06_Japan_Unknown_Betacoronavirus_1
IWT_9_nsp4_VIPR_ALG4_BBM60924_1_11695_11961_1_2012_04_Japan_Unknown_Betacoronavirus_1
LY342_nsp4_VIPR_ALG4_721347205_11719_11985_1_2011_10_04_China_Human_Betacoronavirus_1
12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1
MDS2_nsp4_VIPR_ALG4_QBP84710_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1
UNKNOWN_FJ425189_nsp4_VIPR_ALG4_215478151_11689_11955_1_1994_01_01_USA_Deer_Betacoronavirus_1
MY_U208_12_nsp4_VIPR_ALG4_AQN78661_1_11718_11984_1_2012_03_28_Malaysia_Human_Betacoronavirus_1
MY_U413_12_nsp4_VIPR_ALG4_AQN78677_1_11718_11984_1_2012_05_02_Malaysia_Human_Betacoronavirus_1
MY_U710_12_nsp4_VIPR_ALG4_AQN78701_1_11718_11984_1_2012_06_20_Malaysia_Human_Betacoronavirus_1
Mebus_nsp4_VIPR_ALG4_30061512_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1
N07_1689B_116X_nsp4_VIPR_ALG4_ARE30002_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1
N08_33B_360X_nsp4_VIPR_ALG4_ARE30011_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1
OC43_KLF_01_2018_nsp4_VIPR_ALG4_QDH43722_1_11772_12038_1_2018_01_18_Kenya_Human_Betacoronavirus_1
OC43_human_USA_873_6_1987_nsp4_VIPR_ALG4_530802456_11699_11965_1_1987_03_05_USA_Human_Betacoronavirus_1
OC43_human_USA_901_41_1990_nsp4_VIPR_ALG4_530802215_11699_11965_1_1990_01_17_USA_Human_Betacoronavirus_1
OC43_human_USA_901_54_1990_nsp4_VIPR_ALG4_530802467_11699_11965_1_1990_01_23_USA_Human_Betacoronavirus_1
MDS11_nsp4_VIPR_ALG4_QBP84728_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1
2145A_2010_nsp4_VIPR_ALG4_701216631_11718_11984_1_2010_07_China_Human_Betacoronavirus_1
OC43_human_USA_9211_43_1992_nsp4_VIPR_ALG4_530802566_11699_11965_1_1992_11_30_USA_Human_Betacoronavirus_1
OC43_human_USA_913_29_1991_nsp4_VIPR_ALG4_530802368_11699_11965_1_1991_03_14_USA_Human_Betacoronavirus_1
OC43_human_USA_925_1_1992_nsp4_VIPR_ALG4_530802281_11699_11965_1_1992_05_04_USA_Human_Betacoronavirus_1
OC43_human_USA_982_4_1998_nsp4_VIPR_ALG4_530802259_11699_11965_1_1998_02_05_USA_Human_Betacoronavirus_1
OC43_human_USA_991_19_1999_nsp4_VIPR_ALG4_530802270_11700_11966_1_1999_01_15_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU0331_2015_nsp4_VIPR_ALG4_ARC95209_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1
10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp4_VIPR_ALG4_ARC95200_1_11680_11946_1_2015_09_15_USA_Swine_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1785_2015_nsp4_VIPR_ALG4_ARC95225_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1
TCG_24_nsp4_VIPR_ALG4_BBM61484_1_11687_11953_1_2017_12_Japan_Unknown_Betacoronavirus_1
R_AH65_TC_nsp4_VIPR_ALG4_145208921_11703_11969_1_NA_USA_Cattle_Betacoronavirus_1
TCG_13_nsp4_VIPR_ALG4_BBM61334_1_11692_11958_1_2009_01_Japan_Unknown_Betacoronavirus_1
TCG_14_nsp4_VIPR_ALG4_BBM61344_1_11695_11961_1_2009_03_Japan_Unknown_Betacoronavirus_1
TCG_17_nsp4_VIPR_ALG4_BBM61414_1_11692_11958_1_2016_Japan_Unknown_Betacoronavirus_1
TCG_21_nsp4_VIPR_ALG4_BBM61454_1_11683_11949_1_2016_12_Japan_Unknown_Betacoronavirus_1
TCG_25_nsp4_VIPR_ALG4_BBM61494_1_11690_11956_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_26_nsp4_VIPR_ALG4_BBM61504_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_29_nsp4_VIPR_ALG4_BBM61534_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_9_nsp4_VIPR_ALG4_BBM61424_1_11680_11946_1_2008_03_Japan_Unknown_Betacoronavirus_1
TNP_12636_nsp4_VIPR_ALG4_AWW13571_1_11712_11978_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1
E_AH187_TC_nsp4_VIPR_ALG4_251748090_11703_11969_1_2000_01_01_USA_Cattle_Betacoronavirus_1
5445_2007_nsp4_VIPR_ALG4_701216785_11718_11984_1_2007_06_China_Human_Betacoronavirus_1
4408_nsp4_VIPR_ALG4_212571733_11719_11985_1_1988_Germany_Human_Betacoronavirus_1
MDS14_nsp4_VIPR_ALG4_QBP84746_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1
MDS12_nsp4_VIPR_ALG4_QBP84737_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1
7_16_23_nsp4_VIPR_ALG4_AVZ61126_1_11719_11985_1_2016_07_USA_Cattle_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2476_2015_nsp4_VIPR_ALG4_ARK08667_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1
MY_U1024_12_nsp4_VIPR_ALG4_AQN78741_1_11718_11984_1_2012_08_24_Malaysia_Human_Betacoronavirus_1
MDS4_nsp4_VIPR_ALG4_QBP84719_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2854_2015_nsp4_VIPR_ALG4_ARU07583_1_11684_11950_1_2015_USA_Human_Betacoronavirus_1
1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1
MY_U002_12_nsp4_VIPR_ALG4_AQN78653_1_11718_11984_1_2012_02_22_Malaysia_Human_Betacoronavirus_1
MY_U1057_12_nsp4_VIPR_ALG4_AQN78749_1_11718_11984_1_2012_08_27_Malaysia_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 229_2005_nsp4_VIPR_ALG4_701216750_11718_11984_1_2005_06_China_Human_Betacoronavirus_1,
2 PHEV_CoV_swine_USA_15TOSU0582_2015_nsp4_VIPR_ALG4_ARC95217_1_11680_11946_1_2015_08_20_USA_Swine_Betacoronavirus_1,
3 12694_2012_nsp4_VIPR_ALG4_701216743_11718_11984_1_2012_05_China_Human_Betacoronavirus_1,
4 BJ_124_nsp4_VIPR_ALG4_AXX83300_1_11623_11889_1_2015_05_06_China_Unknown_Betacoronavirus_1,
5 HCoV_OC43_Seattle_USA_SC9428_2018_nsp4_VIPR_ALG4_QEG03800_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1,
6 10574_2010_nsp4_VIPR_ALG4_701216890_11718_11984_1_2010_09_China_Human_Betacoronavirus_1,
7 N07_1541B_433X_nsp4_VIPR_ALG4_ARE29993_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1,
8 OC43_human_USA_912_10_1991_nsp4_VIPR_ALG4_530802237_11712_11978_1_1991_02_07_USA_Human_Betacoronavirus_1,
9 PHEV_CoV_swine_USA_15TOSU1209_2015_nsp4_VIPR_ALG4_ARC95233_1_11680_11946_1_2015_07_25_USA_Swine_Betacoronavirus_1,
10 TCG_18_nsp4_VIPR_ALG4_BBM61404_1_11688_11954_1_2016_Japan_Unknown_Betacoronavirus_1,
11 TCG_8_nsp4_VIPR_ALG4_BBM61394_1_11692_11958_1_2008_01_Japan_Unknown_Betacoronavirus_1,
12 TNP_F1832_2_nsp4_VIPR_ALG4_AWW13532_1_11695_11961_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1,
13 US_OH1_2003_nsp4_VIPR_ALG4_145208957_11704_11970_1_NA_USA_Antelope_Betacoronavirus_1,
14 4_17_03_nsp4_VIPR_ALG4_AVZ61096_1_11719_11985_1_2017_04_USA_Cattle_Betacoronavirus_1,
15 5479_2007_nsp4_VIPR_ALG4_701216792_11718_11984_1_2007_06_China_Human_Betacoronavirus_1,
16 5484_2007_nsp4_VIPR_ALG4_701216799_11718_11984_1_2007_06_China_Human_Betacoronavirus_1,
17 5508_2007_nsp4_VIPR_ALG4_701216813_11718_11984_1_2007_06_China_Human_Betacoronavirus_1,
18 69A_2007_nsp4_VIPR_ALG4_701216862_11718_11984_1_2007_05_China_Human_Betacoronavirus_1,
19 892A_2008_nsp4_VIPR_ALG4_701216876_11718_11984_1_2008_10_China_Human_Betacoronavirus_1,
20 ATCC_VR_759_ORF1ab_YP_009555259_1_NA_USA_Unknown_Betacoronavirus_1,
21 BCoV_ENT_nsp4_VIPR_ALG4_NP_150073_3_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1,
22 DB2_nsp4_VIPR_ALG4_331264482_11704_11970_1_1983_NA_Cattle_Betacoronavirus_1,
23 PHEV_CoV_swine_USA_15TOSU1655_2015_nsp4_VIPR_ALG4_ARC95241_1_11720_11986_1_2015_08_01_USA_Swine_Betacoronavirus_1,
24 DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1,
25 DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp4_VIPR_ALG4_QEY10654_1_11709_11975_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1,
26 E_AH65_nsp4_VIPR_ALG4_145208890_11719_11985_1_NA_USA_Cattle_Betacoronavirus_1,
27 HCoV_OC43_Seattle_USA_SC0682_2019_nsp4_VIPR_ALG4_QEG03736_1_11680_11946_1_2019_USA_Human_Betacoronavirus_1,
28 HCoV_OC43_Seattle_USA_SC0810_2019_nsp4_VIPR_ALG4_QEG03753_1_11715_11981_1_2019_USA_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC2345_2015_nsp4_VIPR_ALG4_ARK08675_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1,
30 HCoV_OC43_UK_London_2011_nsp4_VIPR_ALG4_998640292_11720_11986_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1,
31 HCoV_OC43_USA_ACRI_0213_2016_nsp4_VIPR_ALG4_AZP73837_1_11715_11981_1_2016_12_19_USA_Human_Betacoronavirus_1,
32 HCoV_OC43_USA_TCNP_0070_2016_nsp4_VIPR_ALG4_ATN39862_1_11713_11979_1_2016_02_01_USA_Human_Betacoronavirus_1,
33 HKU23_368F_nsp4_VIPR_ALG4_600997095_11723_11989_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1,
34 IWT_26_nsp4_VIPR_ALG4_BBM61174_1_11691_11957_1_2017_02_Japan_Unknown_Betacoronavirus_1,
35 IWT_11_nsp4_VIPR_ALG4_BBM61024_1_11692_11958_1_2013_12_Japan_Unknown_Betacoronavirus_1,
36 IWT_13_nsp4_VIPR_ALG4_BBM61044_1_11684_11950_1_2015_06_Japan_Unknown_Betacoronavirus_1,
37 IWT_15_nsp4_VIPR_ALG4_BBM61064_1_11691_11957_1_2016_01_Japan_Unknown_Betacoronavirus_1,
38 IWT_23_nsp4_VIPR_ALG4_BBM61144_1_11685_11951_1_2016_12_Japan_Unknown_Betacoronavirus_1,
39 2058A_10_nsp4_VIPR_ALG4_744516684_11718_11984_1_2010_06_China_Human_Betacoronavirus_1,
40 IWT_3_nsp4_VIPR_ALG4_BBM60964_1_11695_11961_1_2011_06_Japan_Unknown_Betacoronavirus_1,
41 IWT_9_nsp4_VIPR_ALG4_BBM60924_1_11695_11961_1_2012_04_Japan_Unknown_Betacoronavirus_1,
42 LY342_nsp4_VIPR_ALG4_721347205_11719_11985_1_2011_10_04_China_Human_Betacoronavirus_1,
43 12691_2012_nsp4_VIPR_ALG4_701216736_11718_11984_1_2012_05_China_Human_Betacoronavirus_1,
44 MDS2_nsp4_VIPR_ALG4_QBP84710_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1,
45 UNKNOWN_FJ425189_nsp4_VIPR_ALG4_215478151_11689_11955_1_1994_01_01_USA_Deer_Betacoronavirus_1,
46 MY_U208_12_nsp4_VIPR_ALG4_AQN78661_1_11718_11984_1_2012_03_28_Malaysia_Human_Betacoronavirus_1,
47 MY_U413_12_nsp4_VIPR_ALG4_AQN78677_1_11718_11984_1_2012_05_02_Malaysia_Human_Betacoronavirus_1,
48 MY_U710_12_nsp4_VIPR_ALG4_AQN78701_1_11718_11984_1_2012_06_20_Malaysia_Human_Betacoronavirus_1,
49 Mebus_nsp4_VIPR_ALG4_30061512_11719_11985_1_NA_NA_Unknown_Betacoronavirus_1,
50 N07_1689B_116X_nsp4_VIPR_ALG4_ARE30002_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1,
51 N08_33B_360X_nsp4_VIPR_ALG4_ARE30011_1_11718_11984_1_2016_USA_Human_Betacoronavirus_1,
52 OC43_KLF_01_2018_nsp4_VIPR_ALG4_QDH43722_1_11772_12038_1_2018_01_18_Kenya_Human_Betacoronavirus_1,
53 OC43_human_USA_873_6_1987_nsp4_VIPR_ALG4_530802456_11699_11965_1_1987_03_05_USA_Human_Betacoronavirus_1,
54 OC43_human_USA_901_41_1990_nsp4_VIPR_ALG4_530802215_11699_11965_1_1990_01_17_USA_Human_Betacoronavirus_1,
55 OC43_human_USA_901_54_1990_nsp4_VIPR_ALG4_530802467_11699_11965_1_1990_01_23_USA_Human_Betacoronavirus_1,
56 MDS11_nsp4_VIPR_ALG4_QBP84728_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1,
57 2145A_2010_nsp4_VIPR_ALG4_701216631_11718_11984_1_2010_07_China_Human_Betacoronavirus_1,
58 OC43_human_USA_9211_43_1992_nsp4_VIPR_ALG4_530802566_11699_11965_1_1992_11_30_USA_Human_Betacoronavirus_1,
59 OC43_human_USA_913_29_1991_nsp4_VIPR_ALG4_530802368_11699_11965_1_1991_03_14_USA_Human_Betacoronavirus_1,
60 OC43_human_USA_925_1_1992_nsp4_VIPR_ALG4_530802281_11699_11965_1_1992_05_04_USA_Human_Betacoronavirus_1,
61 OC43_human_USA_982_4_1998_nsp4_VIPR_ALG4_530802259_11699_11965_1_1998_02_05_USA_Human_Betacoronavirus_1,
62 OC43_human_USA_991_19_1999_nsp4_VIPR_ALG4_530802270_11700_11966_1_1999_01_15_USA_Human_Betacoronavirus_1,
63 PHEV_CoV_swine_USA_15TOSU0331_2015_nsp4_VIPR_ALG4_ARC95209_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1,
64 10290_2010_nsp4_VIPR_ALG4_701216883_11718_11984_1_2010_07_China_Human_Betacoronavirus_1,
65 PHEV_CoV_swine_USA_15TOSU25049_2015_nsp4_VIPR_ALG4_ARC95200_1_11680_11946_1_2015_09_15_USA_Swine_Betacoronavirus_1,
66 PHEV_CoV_swine_USA_15TOSU1785_2015_nsp4_VIPR_ALG4_ARC95225_1_11680_11946_1_2015_08_15_USA_Swine_Betacoronavirus_1,
67 TCG_24_nsp4_VIPR_ALG4_BBM61484_1_11687_11953_1_2017_12_Japan_Unknown_Betacoronavirus_1,
68 R_AH65_TC_nsp4_VIPR_ALG4_145208921_11703_11969_1_NA_USA_Cattle_Betacoronavirus_1,
69 TCG_13_nsp4_VIPR_ALG4_BBM61334_1_11692_11958_1_2009_01_Japan_Unknown_Betacoronavirus_1,
70 TCG_14_nsp4_VIPR_ALG4_BBM61344_1_11695_11961_1_2009_03_Japan_Unknown_Betacoronavirus_1,
71 TCG_17_nsp4_VIPR_ALG4_BBM61414_1_11692_11958_1_2016_Japan_Unknown_Betacoronavirus_1,
72 TCG_21_nsp4_VIPR_ALG4_BBM61454_1_11683_11949_1_2016_12_Japan_Unknown_Betacoronavirus_1,
73 TCG_25_nsp4_VIPR_ALG4_BBM61494_1_11690_11956_1_2017_12_Japan_Unknown_Betacoronavirus_1,
74 TCG_26_nsp4_VIPR_ALG4_BBM61504_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1,
75 TCG_29_nsp4_VIPR_ALG4_BBM61534_1_11692_11958_1_2017_12_Japan_Unknown_Betacoronavirus_1,
76 TCG_9_nsp4_VIPR_ALG4_BBM61424_1_11680_11946_1_2008_03_Japan_Unknown_Betacoronavirus_1,
77 TNP_12636_nsp4_VIPR_ALG4_AWW13571_1_11712_11978_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1,
78 E_AH187_TC_nsp4_VIPR_ALG4_251748090_11703_11969_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
79 5445_2007_nsp4_VIPR_ALG4_701216785_11718_11984_1_2007_06_China_Human_Betacoronavirus_1,
80 4408_nsp4_VIPR_ALG4_212571733_11719_11985_1_1988_Germany_Human_Betacoronavirus_1,
81 MDS14_nsp4_VIPR_ALG4_QBP84746_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1,
82 MDS12_nsp4_VIPR_ALG4_QBP84737_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1,
83 7_16_23_nsp4_VIPR_ALG4_AVZ61126_1_11719_11985_1_2016_07_USA_Cattle_Betacoronavirus_1,
84 HCoV_OC43_Seattle_USA_SC2476_2015_nsp4_VIPR_ALG4_ARK08667_1_11680_11946_1_2015_USA_Human_Betacoronavirus_1,
85 MY_U1024_12_nsp4_VIPR_ALG4_AQN78741_1_11718_11984_1_2012_08_24_Malaysia_Human_Betacoronavirus_1,
86 MDS4_nsp4_VIPR_ALG4_QBP84719_1_11698_11964_1_NA_NA_Unknown_Betacoronavirus_1,
87 HCoV_OC43_Seattle_USA_SC2854_2015_nsp4_VIPR_ALG4_ARU07583_1_11684_11950_1_2015_USA_Human_Betacoronavirus_1,
88 1908A_2010_nsp4_VIPR_ALG4_701216617_11718_11984_1_2010_03_China_Human_Betacoronavirus_1,
89 MY_U002_12_nsp4_VIPR_ALG4_AQN78653_1_11718_11984_1_2012_02_22_Malaysia_Human_Betacoronavirus_1,
90 MY_U1057_12_nsp4_VIPR_ALG4_AQN78749_1_11718_11984_1_2012_08_27_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 = (1:5.630896e-04,3:5.806475e-04,4:6.034601e-04,5:5.779445e-04,7:5.751174e-04,8:5.413596e-04,12:6.150879e-04,15:5.860802e-04,16:5.955906e-04,17:5.851934e-04,18:5.798529e-04,19:5.793707e-04,20:5.661078e-04,27:1.420196e-03,28:5.094280e-04,29:6.118443e-04,30:2.365179e-03,31:5.251508e-04,32:5.926701e-04,39:5.856487e-04,43:6.080666e-04,44:5.475714e-04,46:6.025880e-04,47:5.979571e-04,48:5.980749e-04,50:5.669354e-04,51:5.972006e-04,52:5.713904e-04,55:1.540010e-03,56:5.119010e-04,57:6.134835e-04,59:6.204544e-04,60:5.569208e-04,61:1.442395e-03,62:5.798156e-04,64:5.697964e-04,77:5.631601e-04,79:5.727493e-04,81:6.067071e-04,82:5.962485e-04,84:5.907267e-04,85:6.364451e-04,86:5.609702e-04,87:5.355094e-04,88:1.393667e-03,89:5.749033e-04,90:6.115992e-04,((2:5.691856e-04,63:5.644039e-04)0.984:1.858500e-03,((9:6.178537e-04,23:5.782329e-04,66:5.544975e-04)0.992:1.468836e-03,(((10:5.554616e-04,11:1.353398e-03,13:5.846434e-04,14:2.260008e-03,21:1.441433e-03,24:1.378233e-03,(34:5.961156e-04,38:6.308230e-04,72:5.532409e-04)0.976:1.376194e-03,35:6.126741e-04,36:5.606308e-04,37:6.181441e-04,40:5.151642e-04,41:5.253116e-04,67:5.434880e-04,69:5.560251e-04,70:5.864195e-04,71:5.747358e-04,73:5.995129e-04,74:5.897663e-04,75:6.293632e-04,76:5.423663e-04,83:1.382251e-03)0.792:1.306168e-03,22:1.310845e-03,(25:1.428725e-03,33:1.381084e-03)0.951:1.403938e-03,26:1.388431e-03,45:5.828418e-04,49:1.330266e-03,68:5.966481e-04,78:5.758966e-04)0.997:2.170571e-03,80:5.957275e-04)1.000:3.433322e-03,65:2.919366e-03)0.537:1.454876e-03)0.999:2.950728e-03,(53:5.850922e-04,54:5.885676e-04,58:5.510182e-04)0.973:2.026190e-03,(6:6.795031e-04,42:6.468964e-04)0.858:1.393986e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:5.630896e-04,3:5.806475e-04,4:6.034601e-04,5:5.779445e-04,7:5.751174e-04,8:5.413596e-04,12:6.150879e-04,15:5.860802e-04,16:5.955906e-04,17:5.851934e-04,18:5.798529e-04,19:5.793707e-04,20:5.661078e-04,27:1.420196e-03,28:5.094280e-04,29:6.118443e-04,30:2.365179e-03,31:5.251508e-04,32:5.926701e-04,39:5.856487e-04,43:6.080666e-04,44:5.475714e-04,46:6.025880e-04,47:5.979571e-04,48:5.980749e-04,50:5.669354e-04,51:5.972006e-04,52:5.713904e-04,55:1.540010e-03,56:5.119010e-04,57:6.134835e-04,59:6.204544e-04,60:5.569208e-04,61:1.442395e-03,62:5.798156e-04,64:5.697964e-04,77:5.631601e-04,79:5.727493e-04,81:6.067071e-04,82:5.962485e-04,84:5.907267e-04,85:6.364451e-04,86:5.609702e-04,87:5.355094e-04,88:1.393667e-03,89:5.749033e-04,90:6.115992e-04,((2:5.691856e-04,63:5.644039e-04):1.858500e-03,((9:6.178537e-04,23:5.782329e-04,66:5.544975e-04):1.468836e-03,(((10:5.554616e-04,11:1.353398e-03,13:5.846434e-04,14:2.260008e-03,21:1.441433e-03,24:1.378233e-03,(34:5.961156e-04,38:6.308230e-04,72:5.532409e-04):1.376194e-03,35:6.126741e-04,36:5.606308e-04,37:6.181441e-04,40:5.151642e-04,41:5.253116e-04,67:5.434880e-04,69:5.560251e-04,70:5.864195e-04,71:5.747358e-04,73:5.995129e-04,74:5.897663e-04,75:6.293632e-04,76:5.423663e-04,83:1.382251e-03):1.306168e-03,22:1.310845e-03,(25:1.428725e-03,33:1.381084e-03):1.403938e-03,26:1.388431e-03,45:5.828418e-04,49:1.330266e-03,68:5.966481e-04,78:5.758966e-04):2.170571e-03,80:5.957275e-04):3.433322e-03,65:2.919366e-03):1.454876e-03):2.950728e-03,(53:5.850922e-04,54:5.885676e-04,58:5.510182e-04):2.026190e-03,(6:6.795031e-04,42:6.468964e-04):1.393986e-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 -508.35 -531.69
2 -508.08 -525.92
--------------------------------------
TOTAL -508.20 -531.00
--------------------------------------
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} 0.092590 0.000687 0.047170 0.144311 0.088900 957.53 1097.06 1.000
r(A<->C){all} 0.045888 0.001760 0.000034 0.131895 0.034063 227.99 277.12 1.003
r(A<->G){all} 0.229276 0.008145 0.079351 0.417785 0.222075 144.23 162.31 1.020
r(A<->T){all} 0.025033 0.000535 0.000001 0.072533 0.018439 330.80 345.05 1.002
r(C<->G){all} 0.052183 0.002486 0.000057 0.154903 0.037670 119.42 157.28 1.000
r(C<->T){all} 0.496660 0.010543 0.303939 0.698713 0.496124 157.98 203.58 1.016
r(G<->T){all} 0.150960 0.004221 0.035035 0.271394 0.141802 153.18 239.17 1.000
pi(A){all} 0.249317 0.000675 0.199352 0.300352 0.248996 970.40 1032.22 1.000
pi(C){all} 0.169709 0.000496 0.124062 0.211144 0.168874 995.31 1015.44 1.000
pi(G){all} 0.214737 0.000603 0.165392 0.260688 0.214759 814.99 966.88 1.000
pi(T){all} 0.366237 0.000833 0.308105 0.420555 0.365867 841.46 943.00 1.000
alpha{1,2} 0.696756 0.699799 0.000909 2.381770 0.381485 587.18 701.98 1.000
alpha{3} 1.305145 1.157877 0.000146 3.363833 1.022485 705.12 861.01 1.000
pinvar{all} 0.433981 0.047284 0.009650 0.765273 0.452479 362.63 367.44 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
[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: `(C19,C5,C59,C91,C160,C187,C267,C37,C39,C42,C47,C51,C52,C79,C80,C83,C93,C95,C98,C14,C6,C139,C149,C151,C154,C163,C164,C167,C182,C136,C16,C192,C195,C205,C207,C3,C263,C35,C137,C138,C84,C143,C142,C87,C9,C144,C145,((C212,C210),((C213,C215,C220),(((C239,C262,C280,C27,C55,C67,(C123,C121,C243),C107,C108,C111,C126,C131,C246,C233,C235,C238,C247,C248,C251,C261,C48),C65,(C70,C103),C75,C278,C159,C223,C73),C25),C219)),(C177,C179,C191),(C4,C135))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **89** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_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_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp4_VIPR_ALG4_QEY10630_1_11709_11975_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) = -612.69, AIC-c = 1444.38 (109 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.143 ### 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 = 0.429 * 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
