--- 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 -3808.64 -3845.83
2 -3811.56 -3852.33
--------------------------------------
TOTAL -3809.28 -3851.64
--------------------------------------
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} 0.392014 0.001590 0.311744 0.466401 0.389694 423.26 430.30 1.001
r(A<->C){all} 0.065707 0.000465 0.024799 0.107462 0.063763 730.30 776.87 1.000
r(A<->G){all} 0.171306 0.000755 0.121753 0.226377 0.170048 821.44 878.08 1.000
r(A<->T){all} 0.083007 0.000256 0.053667 0.115133 0.082193 1000.79 1042.02 1.000
r(C<->G){all} 0.033876 0.000250 0.005025 0.063975 0.032112 643.78 787.02 1.001
r(C<->T){all} 0.578472 0.001519 0.503451 0.652212 0.578186 641.45 724.40 1.000
r(G<->T){all} 0.067632 0.000211 0.039870 0.094991 0.066977 994.55 1062.13 1.000
pi(A){all} 0.266325 0.000118 0.245776 0.288149 0.266408 1058.99 1068.60 1.001
pi(C){all} 0.161294 0.000075 0.144281 0.177536 0.161182 808.61 964.79 1.000
pi(G){all} 0.218568 0.000100 0.197612 0.236867 0.218770 1109.76 1135.35 1.000
pi(T){all} 0.353813 0.000130 0.332583 0.376223 0.353628 981.11 1117.51 1.001
alpha{1,2} 0.083318 0.001768 0.000440 0.147564 0.087838 947.66 985.46 1.001
alpha{3} 3.729668 2.312053 1.213511 6.599697 3.472047 1038.42 1206.78 1.000
pinvar{all} 0.359155 0.004575 0.226703 0.483333 0.361669 645.19 795.71 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -3579.734159
Model 2: PositiveSelection -3579.734159
Model 7: beta -3579.803013
Model 8: beta&w>1 -3579.803193
Model 2 vs 1 0
Model 8 vs 7 -.000360
-- Starting log on Fri Nov 18 14:39:55 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:54:54 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 01:32:28 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_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 30 taxa and 1563 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C216
Taxon 2 -> C298
Taxon 3 -> C85
Taxon 4 -> C161
Taxon 5 -> C237
Taxon 6 -> C269
Taxon 7 -> C47
Taxon 8 -> C19
Taxon 9 -> C22
Taxon 10 -> C61
Taxon 11 -> C4
Taxon 12 -> C29
Taxon 13 -> C182
Taxon 14 -> C251
Taxon 15 -> C192
Taxon 16 -> C235
Taxon 17 -> C66
Taxon 18 -> C279
Taxon 19 -> C94
Taxon 20 -> C122
Taxon 21 -> C64
Taxon 22 -> C30
Taxon 23 -> C130
Taxon 24 -> C71
Taxon 25 -> C8
Taxon 26 -> C135
Taxon 27 -> C134
Taxon 28 -> C45
Taxon 29 -> C83
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668821551
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) = 122404164
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 = 8675493753
Seed = 999504555
Swapseed = 1668821551
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 23 unique site patterns
Division 2 has 26 unique site patterns
Division 3 has 98 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 -- -6761.150476 -- 82.122948
Chain 2 -- -6789.203200 -- 82.122948
Chain 3 -- -6771.205702 -- 82.122948
Chain 4 -- -6651.172110 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -6501.647135 -- 82.122948
Chain 2 -- -6848.178188 -- 82.122948
Chain 3 -- -7103.322277 -- 82.122948
Chain 4 -- -6609.205747 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-6761.150] (-6789.203) (-6771.206) (-6651.172) * [-6501.647] (-6848.178) (-7103.322) (-6609.206)
1000 -- [-4315.873] (-4363.966) (-4346.259) (-4479.054) * (-4330.422) [-4267.804] (-4300.345) (-4395.035) -- 0:16:39
2000 -- (-4092.678) (-4098.635) [-4053.810] (-4085.290) * (-4140.250) [-3914.964] (-4031.955) (-4000.691) -- 0:16:38
3000 -- (-3985.782) (-3912.368) [-3875.983] (-3892.350) * (-3873.790) (-3876.730) (-3899.486) [-3861.749] -- 0:16:37
4000 -- (-3863.846) (-3877.394) [-3839.172] (-3850.457) * (-3863.014) [-3839.799] (-3865.461) (-3865.788) -- 0:16:36
5000 -- (-3823.897) (-3836.441) [-3831.974] (-3851.763) * (-3854.671) (-3839.515) [-3830.528] (-3858.115) -- 0:16:35
Average standard deviation of split frequencies: 0.088617
6000 -- (-3838.048) [-3823.736] (-3835.652) (-3848.854) * (-3852.530) [-3828.077] (-3831.185) (-3832.736) -- 0:16:34
7000 -- (-3842.856) (-3834.014) (-3842.043) [-3834.740] * (-3832.895) [-3829.822] (-3847.822) (-3840.968) -- 0:16:33
8000 -- [-3842.112] (-3846.384) (-3844.356) (-3832.030) * (-3835.729) (-3839.298) [-3839.556] (-3847.841) -- 0:16:32
9000 -- (-3823.316) (-3841.812) [-3833.991] (-3833.837) * [-3823.660] (-3840.312) (-3845.905) (-3845.896) -- 0:18:21
10000 -- (-3832.030) (-3863.282) (-3856.317) [-3835.758] * [-3824.205] (-3826.337) (-3844.239) (-3849.170) -- 0:18:09
Average standard deviation of split frequencies: 0.075558
11000 -- [-3828.600] (-3847.935) (-3848.002) (-3831.210) * (-3841.694) (-3833.408) [-3824.962] (-3837.119) -- 0:17:58
12000 -- (-3838.415) [-3830.314] (-3846.649) (-3835.350) * (-3842.985) (-3829.492) (-3841.336) [-3819.086] -- 0:17:50
13000 -- (-3843.753) (-3844.745) (-3853.776) [-3821.069] * (-3838.989) [-3829.595] (-3834.686) (-3826.576) -- 0:17:42
14000 -- (-3839.453) (-3845.069) (-3844.084) [-3822.715] * (-3848.742) [-3826.202] (-3839.931) (-3824.539) -- 0:17:36
15000 -- (-3836.506) [-3843.127] (-3823.648) (-3836.237) * (-3827.566) [-3828.059] (-3854.531) (-3824.731) -- 0:17:30
Average standard deviation of split frequencies: 0.045697
16000 -- [-3813.535] (-3854.801) (-3816.577) (-3841.926) * (-3831.427) [-3828.437] (-3833.623) (-3840.150) -- 0:17:25
17000 -- (-3869.257) (-3849.609) [-3830.600] (-3819.726) * (-3828.554) (-3851.430) [-3832.509] (-3850.159) -- 0:17:20
18000 -- (-3856.070) [-3822.777] (-3855.262) (-3832.019) * (-3827.476) [-3831.415] (-3826.108) (-3846.896) -- 0:18:11
19000 -- (-3844.156) (-3821.198) [-3838.751] (-3833.804) * [-3838.619] (-3832.594) (-3824.285) (-3857.564) -- 0:18:04
20000 -- (-3840.483) [-3833.813] (-3850.984) (-3827.750) * (-3837.929) [-3824.782] (-3824.419) (-3842.995) -- 0:17:58
Average standard deviation of split frequencies: 0.033672
21000 -- (-3844.315) (-3850.608) (-3835.594) [-3835.420] * (-3826.506) (-3832.332) [-3821.552] (-3839.312) -- 0:17:52
22000 -- [-3826.774] (-3837.048) (-3849.938) (-3832.746) * (-3847.848) (-3819.569) [-3839.443] (-3849.598) -- 0:17:46
23000 -- (-3831.730) (-3823.534) [-3828.661] (-3849.017) * (-3836.727) (-3840.295) [-3827.417] (-3829.293) -- 0:17:41
24000 -- [-3826.365] (-3820.069) (-3833.087) (-3848.175) * (-3822.971) (-3837.829) [-3822.176] (-3840.046) -- 0:17:37
25000 -- (-3828.737) [-3839.933] (-3851.621) (-3833.709) * (-3818.105) (-3837.608) [-3821.281] (-3836.762) -- 0:18:12
Average standard deviation of split frequencies: 0.032320
26000 -- (-3835.264) [-3849.833] (-3840.387) (-3823.481) * [-3823.139] (-3855.749) (-3833.528) (-3841.608) -- 0:18:06
27000 -- (-3841.279) (-3849.024) (-3828.279) [-3829.421] * (-3843.314) (-3841.671) [-3830.817] (-3848.927) -- 0:18:01
28000 -- [-3835.023] (-3845.919) (-3832.448) (-3833.464) * (-3824.417) (-3823.522) (-3836.427) [-3827.167] -- 0:17:56
29000 -- (-3824.415) (-3823.685) [-3831.593] (-3841.407) * (-3839.548) (-3829.161) [-3832.420] (-3838.775) -- 0:17:51
30000 -- (-3845.150) (-3844.254) (-3843.020) [-3811.566] * (-3847.343) (-3840.998) [-3836.623] (-3854.127) -- 0:17:47
Average standard deviation of split frequencies: 0.036600
31000 -- (-3856.216) (-3830.123) [-3833.332] (-3835.044) * [-3836.924] (-3837.659) (-3850.070) (-3845.216) -- 0:17:42
32000 -- (-3841.363) [-3818.526] (-3819.122) (-3832.434) * (-3834.631) (-3842.024) (-3845.065) [-3826.832] -- 0:18:09
33000 -- (-3833.237) (-3828.361) (-3841.554) [-3819.333] * (-3836.940) [-3829.669] (-3847.990) (-3841.050) -- 0:18:04
34000 -- (-3825.227) [-3816.279] (-3849.465) (-3833.668) * (-3816.635) (-3831.371) [-3828.187] (-3851.797) -- 0:17:59
35000 -- (-3860.111) [-3818.259] (-3832.369) (-3850.056) * (-3854.818) (-3837.058) [-3825.388] (-3845.189) -- 0:17:55
Average standard deviation of split frequencies: 0.040531
36000 -- (-3825.429) (-3822.943) (-3840.052) [-3823.680] * (-3843.085) (-3856.393) [-3830.445] (-3826.849) -- 0:17:51
37000 -- [-3833.782] (-3836.425) (-3823.098) (-3816.346) * [-3830.097] (-3847.917) (-3831.838) (-3818.198) -- 0:18:13
38000 -- (-3834.204) (-3844.668) (-3842.892) [-3822.349] * (-3832.855) (-3838.486) [-3825.758] (-3837.337) -- 0:18:08
39000 -- (-3828.728) (-3841.496) (-3836.534) [-3818.796] * (-3831.381) [-3828.487] (-3835.942) (-3850.901) -- 0:18:04
40000 -- (-3845.182) [-3823.722] (-3848.495) (-3834.321) * [-3835.336] (-3818.312) (-3826.040) (-3838.596) -- 0:18:00
Average standard deviation of split frequencies: 0.041612
41000 -- (-3854.828) (-3832.375) (-3848.351) [-3816.649] * [-3830.591] (-3824.068) (-3844.172) (-3851.560) -- 0:17:55
42000 -- (-3837.606) (-3819.450) (-3845.123) [-3814.822] * (-3835.890) [-3830.244] (-3845.796) (-3851.201) -- 0:17:52
43000 -- (-3833.267) (-3848.910) (-3824.135) [-3825.606] * (-3861.414) (-3830.248) [-3822.672] (-3841.890) -- 0:17:48
44000 -- [-3830.637] (-3830.484) (-3818.112) (-3830.530) * (-3838.551) [-3821.906] (-3842.330) (-3832.681) -- 0:18:06
45000 -- (-3831.677) (-3834.328) (-3838.378) [-3821.022] * (-3835.615) (-3828.942) [-3826.719] (-3827.231) -- 0:18:02
Average standard deviation of split frequencies: 0.032650
46000 -- (-3827.831) (-3838.151) (-3838.569) [-3815.181] * (-3851.488) (-3837.611) (-3828.686) [-3834.110] -- 0:17:58
47000 -- [-3808.992] (-3832.071) (-3834.333) (-3830.202) * (-3853.089) (-3830.168) (-3864.017) [-3815.730] -- 0:17:54
48000 -- (-3828.651) (-3831.247) (-3844.007) [-3832.034] * (-3851.224) [-3813.954] (-3841.361) (-3828.504) -- 0:17:51
49000 -- (-3822.624) [-3829.677] (-3848.951) (-3824.112) * [-3836.139] (-3825.601) (-3850.398) (-3830.566) -- 0:17:47
50000 -- (-3817.933) (-3826.596) (-3840.256) [-3823.376] * (-3837.782) (-3819.622) (-3855.366) [-3836.289] -- 0:18:03
Average standard deviation of split frequencies: 0.034720
51000 -- (-3826.031) (-3844.359) (-3840.603) [-3822.697] * [-3832.247] (-3826.755) (-3839.041) (-3832.210) -- 0:17:59
52000 -- (-3828.198) (-3823.775) (-3834.252) [-3831.867] * [-3824.827] (-3841.189) (-3826.362) (-3845.320) -- 0:17:55
53000 -- (-3830.944) [-3825.884] (-3840.216) (-3830.521) * (-3838.338) [-3816.928] (-3835.342) (-3848.113) -- 0:17:52
54000 -- (-3838.750) [-3828.066] (-3840.275) (-3833.019) * (-3841.147) [-3815.295] (-3835.525) (-3849.705) -- 0:17:48
55000 -- (-3861.837) (-3834.210) (-3832.871) [-3833.660] * (-3833.233) (-3820.909) [-3829.466] (-3837.057) -- 0:17:45
Average standard deviation of split frequencies: 0.026937
56000 -- (-3848.682) [-3839.623] (-3827.457) (-3828.478) * (-3836.479) (-3829.413) [-3835.515] (-3843.769) -- 0:17:58
57000 -- [-3831.931] (-3839.736) (-3847.312) (-3823.776) * (-3846.770) (-3838.324) [-3811.164] (-3842.039) -- 0:17:55
58000 -- (-3838.845) (-3838.575) (-3838.365) [-3842.026] * (-3842.513) (-3833.292) [-3820.747] (-3841.539) -- 0:17:51
59000 -- (-3824.351) (-3830.945) (-3835.146) [-3824.549] * (-3844.769) (-3833.205) [-3824.614] (-3834.026) -- 0:17:48
60000 -- (-3827.720) (-3844.990) [-3828.193] (-3840.466) * (-3829.633) (-3831.174) (-3848.428) [-3821.818] -- 0:17:45
Average standard deviation of split frequencies: 0.025304
61000 -- (-3843.202) (-3851.563) (-3833.362) [-3819.694] * (-3826.949) (-3837.967) [-3824.793] (-3838.925) -- 0:17:42
62000 -- [-3838.643] (-3826.814) (-3842.897) (-3814.721) * (-3836.490) (-3842.269) (-3841.134) [-3827.815] -- 0:17:54
63000 -- [-3830.384] (-3845.982) (-3825.660) (-3832.505) * (-3824.025) (-3851.807) [-3823.465] (-3839.694) -- 0:17:50
64000 -- [-3823.370] (-3838.488) (-3854.235) (-3845.785) * [-3838.364] (-3848.273) (-3827.945) (-3836.751) -- 0:17:47
65000 -- (-3826.341) (-3855.591) (-3832.492) [-3832.184] * [-3825.997] (-3849.120) (-3829.542) (-3844.483) -- 0:17:44
Average standard deviation of split frequencies: 0.025434
66000 -- [-3828.827] (-3847.527) (-3829.269) (-3836.832) * [-3828.265] (-3837.466) (-3838.497) (-3824.082) -- 0:17:41
67000 -- (-3828.779) (-3845.146) [-3813.659] (-3834.210) * (-3840.933) [-3828.788] (-3839.390) (-3829.427) -- 0:17:38
68000 -- (-3836.171) (-3848.880) [-3821.651] (-3831.345) * [-3817.063] (-3841.448) (-3862.130) (-3825.281) -- 0:17:35
69000 -- (-3840.166) (-3834.116) (-3833.212) [-3837.200] * (-3823.821) [-3839.985] (-3834.127) (-3830.848) -- 0:17:45
70000 -- (-3837.277) [-3822.923] (-3828.899) (-3837.092) * (-3846.777) (-3841.402) [-3818.815] (-3830.055) -- 0:17:42
Average standard deviation of split frequencies: 0.023014
71000 -- (-3849.887) (-3831.477) [-3814.846] (-3843.461) * (-3838.506) (-3840.547) (-3833.017) [-3825.567] -- 0:17:39
72000 -- (-3849.003) [-3824.290] (-3824.697) (-3826.891) * [-3829.326] (-3838.325) (-3859.233) (-3828.412) -- 0:17:36
73000 -- (-3854.474) (-3826.878) [-3842.489] (-3839.751) * (-3845.780) (-3841.150) [-3833.735] (-3830.391) -- 0:17:33
74000 -- (-3842.110) [-3824.435] (-3868.867) (-3839.370) * (-3857.831) [-3826.626] (-3826.742) (-3846.040) -- 0:17:31
75000 -- (-3830.118) [-3825.850] (-3847.506) (-3833.069) * (-3831.271) [-3831.514] (-3834.606) (-3857.149) -- 0:17:28
Average standard deviation of split frequencies: 0.024334
76000 -- (-3827.954) (-3855.659) (-3820.697) [-3823.276] * (-3842.430) (-3831.083) (-3840.395) [-3834.416] -- 0:17:37
77000 -- (-3832.996) (-3858.552) [-3819.043] (-3823.423) * (-3846.278) [-3830.070] (-3845.752) (-3832.361) -- 0:17:34
78000 -- (-3828.433) [-3832.010] (-3832.387) (-3830.281) * (-3838.463) (-3860.013) (-3846.245) [-3831.413] -- 0:17:32
79000 -- (-3836.439) (-3829.591) [-3820.605] (-3838.053) * [-3831.103] (-3840.057) (-3852.470) (-3835.750) -- 0:17:29
80000 -- [-3837.484] (-3835.802) (-3829.501) (-3820.621) * (-3819.960) (-3851.231) (-3838.831) [-3827.068] -- 0:17:26
Average standard deviation of split frequencies: 0.023837
81000 -- (-3835.319) (-3845.328) (-3850.394) [-3822.301] * (-3838.424) (-3830.370) [-3815.139] (-3819.968) -- 0:17:23
82000 -- (-3831.145) [-3831.593] (-3844.924) (-3831.400) * [-3829.649] (-3833.854) (-3823.219) (-3847.578) -- 0:17:21
83000 -- (-3834.070) (-3846.620) (-3852.479) [-3821.703] * [-3810.302] (-3824.768) (-3831.254) (-3837.814) -- 0:17:18
84000 -- (-3811.314) (-3837.437) (-3826.158) [-3831.872] * [-3845.580] (-3834.308) (-3840.389) (-3845.374) -- 0:17:26
85000 -- (-3822.932) [-3821.263] (-3822.610) (-3831.374) * (-3840.152) (-3841.488) (-3828.811) [-3824.499] -- 0:17:24
Average standard deviation of split frequencies: 0.019762
86000 -- (-3842.785) (-3825.341) (-3834.014) [-3828.114] * [-3816.446] (-3836.578) (-3827.840) (-3830.906) -- 0:17:21
87000 -- (-3837.715) [-3834.945] (-3833.933) (-3838.973) * [-3820.946] (-3837.366) (-3834.513) (-3837.455) -- 0:17:18
88000 -- (-3837.565) [-3830.275] (-3821.659) (-3835.980) * [-3821.763] (-3835.294) (-3844.084) (-3829.301) -- 0:17:16
89000 -- [-3813.364] (-3853.714) (-3820.101) (-3827.499) * [-3832.415] (-3836.252) (-3841.901) (-3837.812) -- 0:17:13
90000 -- (-3829.794) (-3857.322) [-3833.761] (-3838.537) * (-3853.149) (-3832.154) (-3836.494) [-3823.942] -- 0:17:11
Average standard deviation of split frequencies: 0.017706
91000 -- (-3839.578) (-3834.691) (-3834.226) [-3822.699] * (-3845.519) (-3832.718) (-3835.617) [-3821.548] -- 0:17:18
92000 -- (-3833.891) (-3833.942) [-3821.022] (-3828.972) * (-3846.502) [-3819.923] (-3837.986) (-3841.582) -- 0:17:16
93000 -- (-3844.915) (-3824.345) [-3819.972] (-3826.628) * [-3824.418] (-3847.518) (-3831.933) (-3845.188) -- 0:17:13
94000 -- [-3825.841] (-3835.325) (-3829.146) (-3838.437) * (-3837.809) [-3831.683] (-3836.136) (-3825.023) -- 0:17:11
95000 -- (-3827.284) [-3827.910] (-3825.413) (-3855.506) * (-3850.191) [-3828.268] (-3837.495) (-3833.769) -- 0:17:08
Average standard deviation of split frequencies: 0.019775
96000 -- (-3828.042) [-3823.528] (-3835.902) (-3834.655) * (-3826.983) [-3819.409] (-3838.213) (-3832.894) -- 0:17:06
97000 -- (-3834.103) (-3846.106) [-3831.991] (-3844.426) * [-3826.321] (-3823.526) (-3846.684) (-3827.532) -- 0:17:13
98000 -- (-3844.894) [-3830.220] (-3840.405) (-3837.759) * (-3849.124) [-3823.835] (-3837.121) (-3821.819) -- 0:17:10
99000 -- (-3837.318) (-3826.273) [-3813.064] (-3837.683) * (-3833.986) (-3824.413) (-3836.529) [-3819.007] -- 0:17:08
100000 -- [-3828.706] (-3843.058) (-3821.531) (-3843.450) * (-3849.452) (-3830.030) [-3819.503] (-3843.868) -- 0:17:06
Average standard deviation of split frequencies: 0.021566
101000 -- (-3830.273) [-3822.928] (-3824.355) (-3839.615) * (-3848.099) (-3838.693) [-3814.071] (-3832.148) -- 0:17:03
102000 -- [-3826.003] (-3838.354) (-3831.635) (-3831.639) * (-3854.655) (-3837.903) [-3836.229] (-3810.195) -- 0:17:01
103000 -- (-3834.860) (-3822.871) (-3831.005) [-3830.193] * (-3845.072) [-3831.727] (-3842.544) (-3846.652) -- 0:17:07
104000 -- (-3854.480) (-3830.484) [-3833.206] (-3840.783) * [-3837.670] (-3832.169) (-3837.597) (-3838.907) -- 0:17:05
105000 -- (-3826.198) (-3835.001) (-3841.417) [-3821.448] * (-3838.797) (-3844.826) [-3822.827] (-3818.909) -- 0:17:02
Average standard deviation of split frequencies: 0.019952
106000 -- (-3833.521) [-3820.497] (-3848.158) (-3832.713) * (-3861.751) (-3849.097) [-3831.273] (-3825.786) -- 0:17:00
107000 -- [-3828.087] (-3837.555) (-3837.831) (-3842.409) * [-3829.622] (-3839.663) (-3852.605) (-3821.932) -- 0:16:58
108000 -- [-3832.155] (-3821.258) (-3833.162) (-3825.982) * (-3841.815) (-3837.220) [-3831.165] (-3822.693) -- 0:16:55
109000 -- (-3830.651) [-3826.451] (-3840.982) (-3823.900) * (-3829.475) (-3832.832) [-3841.674] (-3830.530) -- 0:16:53
110000 -- (-3827.710) (-3821.206) (-3832.307) [-3818.849] * [-3838.163] (-3833.127) (-3828.115) (-3836.075) -- 0:16:59
Average standard deviation of split frequencies: 0.020377
111000 -- (-3828.377) (-3830.244) (-3823.927) [-3829.536] * [-3826.685] (-3830.312) (-3840.200) (-3839.304) -- 0:16:57
112000 -- (-3821.231) (-3852.296) (-3831.834) [-3824.320] * (-3839.765) (-3843.444) [-3815.299] (-3821.308) -- 0:16:54
113000 -- (-3833.671) (-3830.486) (-3846.296) [-3824.540] * (-3841.411) (-3843.783) (-3842.123) [-3831.066] -- 0:16:52
114000 -- (-3833.982) [-3818.762] (-3844.780) (-3834.377) * (-3831.613) (-3839.932) [-3828.503] (-3838.771) -- 0:16:50
115000 -- [-3820.900] (-3836.001) (-3843.828) (-3825.501) * (-3832.820) (-3836.514) [-3823.039] (-3839.531) -- 0:16:48
Average standard deviation of split frequencies: 0.021496
116000 -- [-3827.062] (-3852.389) (-3841.978) (-3843.303) * (-3839.188) (-3842.120) [-3820.669] (-3840.496) -- 0:16:53
117000 -- (-3831.753) (-3820.672) [-3827.507] (-3858.082) * (-3843.739) (-3831.281) [-3833.415] (-3856.275) -- 0:16:51
118000 -- (-3831.569) [-3817.608] (-3839.201) (-3841.055) * (-3834.931) (-3843.908) [-3829.933] (-3874.870) -- 0:16:49
119000 -- [-3838.460] (-3830.518) (-3845.560) (-3840.291) * (-3832.444) (-3828.332) [-3840.338] (-3868.534) -- 0:16:46
120000 -- (-3843.837) [-3820.078] (-3821.397) (-3832.730) * (-3827.126) [-3828.046] (-3838.972) (-3858.766) -- 0:16:44
Average standard deviation of split frequencies: 0.023748
121000 -- (-3862.928) (-3814.041) [-3837.015] (-3832.333) * (-3854.314) (-3829.646) (-3819.169) [-3851.506] -- 0:16:42
122000 -- (-3837.972) (-3833.262) [-3822.805] (-3820.645) * (-3831.721) [-3823.825] (-3846.172) (-3845.874) -- 0:16:47
123000 -- [-3832.097] (-3833.631) (-3828.901) (-3837.967) * (-3836.416) [-3829.425] (-3822.886) (-3852.466) -- 0:16:45
124000 -- (-3832.248) (-3830.710) (-3837.444) [-3836.828] * (-3851.151) (-3846.739) (-3835.368) [-3821.463] -- 0:16:43
125000 -- [-3819.595] (-3840.224) (-3839.728) (-3844.411) * (-3849.784) (-3826.763) (-3823.341) [-3829.998] -- 0:16:41
Average standard deviation of split frequencies: 0.021680
126000 -- [-3805.906] (-3850.405) (-3832.028) (-3828.734) * (-3843.898) (-3818.411) (-3844.506) [-3826.491] -- 0:16:38
127000 -- [-3809.092] (-3825.546) (-3835.451) (-3830.965) * (-3856.718) (-3818.457) [-3830.718] (-3828.356) -- 0:16:43
128000 -- [-3811.568] (-3825.840) (-3834.194) (-3841.254) * (-3847.512) [-3818.169] (-3832.005) (-3830.086) -- 0:16:41
129000 -- (-3818.059) (-3851.127) [-3823.772] (-3822.141) * [-3837.698] (-3840.591) (-3839.073) (-3844.779) -- 0:16:39
130000 -- (-3823.293) (-3846.118) (-3839.828) [-3838.882] * (-3845.134) (-3848.399) (-3842.754) [-3833.938] -- 0:16:37
Average standard deviation of split frequencies: 0.023589
131000 -- (-3827.476) (-3854.828) [-3825.763] (-3852.505) * (-3849.335) (-3822.736) (-3845.512) [-3831.155] -- 0:16:35
132000 -- (-3838.486) (-3826.926) (-3856.312) [-3836.575] * (-3836.332) (-3848.677) (-3837.843) [-3831.437] -- 0:16:32
133000 -- (-3864.986) (-3829.402) [-3845.319] (-3816.221) * (-3843.605) (-3844.328) [-3829.738] (-3843.490) -- 0:16:37
134000 -- (-3836.305) (-3835.014) [-3825.254] (-3827.405) * (-3845.567) (-3839.333) [-3839.051] (-3852.829) -- 0:16:35
135000 -- [-3832.937] (-3839.951) (-3839.720) (-3845.536) * (-3827.388) (-3829.132) (-3851.646) [-3826.521] -- 0:16:33
Average standard deviation of split frequencies: 0.024441
136000 -- (-3844.658) (-3831.322) (-3839.910) [-3811.155] * (-3843.267) (-3837.520) (-3825.810) [-3825.597] -- 0:16:31
137000 -- (-3832.840) (-3849.259) [-3815.063] (-3826.475) * (-3847.907) (-3850.992) (-3825.817) [-3818.203] -- 0:16:28
138000 -- (-3849.392) (-3842.970) [-3823.952] (-3826.980) * (-3814.123) [-3850.208] (-3843.054) (-3831.582) -- 0:16:26
139000 -- (-3862.929) (-3856.451) (-3836.532) [-3814.291] * [-3821.233] (-3829.480) (-3830.408) (-3843.296) -- 0:16:24
140000 -- (-3839.144) [-3820.718] (-3846.195) (-3838.894) * (-3835.193) (-3845.370) (-3826.481) [-3830.149] -- 0:16:29
Average standard deviation of split frequencies: 0.024605
141000 -- [-3838.187] (-3830.614) (-3857.288) (-3819.299) * (-3867.889) [-3830.011] (-3831.742) (-3823.341) -- 0:16:26
142000 -- (-3836.060) [-3847.146] (-3855.518) (-3842.708) * (-3844.870) (-3838.890) (-3859.316) [-3827.279] -- 0:16:24
143000 -- [-3835.136] (-3839.706) (-3846.181) (-3821.659) * (-3832.482) [-3829.791] (-3854.442) (-3834.797) -- 0:16:22
144000 -- (-3845.192) (-3836.088) [-3825.611] (-3822.200) * [-3837.584] (-3844.023) (-3843.048) (-3834.918) -- 0:16:20
145000 -- (-3842.694) (-3833.458) (-3854.292) [-3825.536] * (-3853.926) (-3842.987) (-3842.172) [-3818.296] -- 0:16:18
Average standard deviation of split frequencies: 0.023026
146000 -- (-3832.434) (-3844.661) (-3831.143) [-3823.864] * [-3835.684] (-3831.579) (-3838.391) (-3816.282) -- 0:16:16
147000 -- (-3855.733) [-3821.480] (-3837.936) (-3850.045) * (-3841.822) (-3846.008) [-3833.215] (-3825.242) -- 0:16:20
148000 -- (-3839.945) (-3829.322) [-3825.029] (-3820.381) * (-3839.193) (-3824.955) [-3825.727] (-3823.362) -- 0:16:18
149000 -- (-3834.537) [-3829.686] (-3840.030) (-3827.784) * [-3829.190] (-3829.243) (-3833.767) (-3823.804) -- 0:16:16
150000 -- (-3840.959) (-3848.485) [-3820.607] (-3823.476) * (-3842.597) [-3813.433] (-3845.509) (-3833.339) -- 0:16:14
Average standard deviation of split frequencies: 0.024125
151000 -- (-3837.734) [-3826.939] (-3824.736) (-3840.279) * (-3855.543) (-3837.642) [-3827.007] (-3825.786) -- 0:16:12
152000 -- [-3818.744] (-3829.280) (-3827.194) (-3854.371) * [-3844.886] (-3828.570) (-3836.304) (-3829.357) -- 0:16:10
153000 -- [-3833.995] (-3834.255) (-3838.469) (-3834.275) * (-3834.434) [-3812.075] (-3850.381) (-3824.315) -- 0:16:14
154000 -- (-3849.130) (-3848.379) [-3827.466] (-3812.079) * [-3830.899] (-3817.058) (-3844.144) (-3822.744) -- 0:16:12
155000 -- (-3852.605) (-3838.616) [-3821.300] (-3816.674) * (-3826.988) (-3839.222) [-3817.969] (-3842.559) -- 0:16:10
Average standard deviation of split frequencies: 0.022107
156000 -- (-3832.679) (-3835.776) (-3834.044) [-3821.076] * (-3821.709) (-3829.057) (-3838.891) [-3834.656] -- 0:16:08
157000 -- (-3833.835) (-3850.902) [-3818.999] (-3843.578) * [-3827.177] (-3839.613) (-3839.687) (-3857.407) -- 0:16:06
158000 -- (-3828.829) (-3863.445) (-3832.906) [-3818.072] * [-3819.326] (-3832.573) (-3851.162) (-3837.205) -- 0:16:04
159000 -- (-3832.424) (-3862.133) (-3840.395) [-3836.975] * (-3837.811) (-3836.976) [-3834.291] (-3851.999) -- 0:16:02
160000 -- (-3836.792) (-3843.944) [-3827.723] (-3836.536) * (-3838.968) [-3821.537] (-3834.231) (-3845.464) -- 0:16:06
Average standard deviation of split frequencies: 0.022546
161000 -- (-3844.203) [-3842.111] (-3828.433) (-3836.321) * (-3836.154) (-3833.234) (-3838.534) [-3835.966] -- 0:16:04
162000 -- [-3820.519] (-3831.230) (-3835.739) (-3830.234) * (-3833.421) [-3831.684] (-3836.174) (-3852.393) -- 0:16:02
163000 -- (-3832.364) (-3829.639) (-3829.322) [-3834.138] * (-3828.920) (-3828.832) (-3835.334) [-3850.055] -- 0:16:00
164000 -- (-3851.477) (-3834.526) [-3824.382] (-3847.533) * (-3824.532) [-3810.222] (-3831.306) (-3846.089) -- 0:15:58
165000 -- (-3863.011) [-3824.698] (-3837.899) (-3840.800) * (-3820.754) (-3823.096) [-3827.597] (-3831.113) -- 0:16:01
Average standard deviation of split frequencies: 0.023540
166000 -- (-3860.432) [-3824.120] (-3831.697) (-3847.618) * (-3839.049) [-3831.506] (-3825.513) (-3835.456) -- 0:15:59
167000 -- (-3859.669) [-3818.912] (-3840.772) (-3839.281) * (-3835.335) (-3853.192) (-3830.969) [-3833.598] -- 0:15:57
168000 -- (-3855.381) (-3820.866) [-3822.697] (-3824.218) * (-3830.187) (-3846.617) (-3825.039) [-3844.770] -- 0:15:55
169000 -- (-3860.245) (-3827.650) (-3851.214) [-3825.390] * (-3824.903) (-3833.984) [-3822.365] (-3857.075) -- 0:15:53
170000 -- (-3849.490) (-3823.545) (-3838.965) [-3822.851] * (-3831.583) (-3839.754) [-3830.741] (-3839.802) -- 0:15:52
Average standard deviation of split frequencies: 0.026488
171000 -- (-3823.579) [-3815.454] (-3841.867) (-3821.307) * (-3824.231) (-3843.982) (-3823.115) [-3831.218] -- 0:15:55
172000 -- (-3845.960) (-3827.092) [-3823.929] (-3837.679) * [-3821.545] (-3840.527) (-3831.354) (-3837.893) -- 0:15:53
173000 -- [-3830.452] (-3830.159) (-3835.351) (-3843.453) * [-3844.460] (-3854.979) (-3822.342) (-3855.997) -- 0:15:51
174000 -- (-3839.771) [-3834.453] (-3832.466) (-3823.120) * (-3819.957) (-3847.873) [-3838.000] (-3849.954) -- 0:15:49
175000 -- [-3828.534] (-3856.023) (-3840.757) (-3852.533) * (-3828.225) (-3843.361) (-3837.600) [-3831.403] -- 0:15:47
Average standard deviation of split frequencies: 0.025234
176000 -- [-3830.247] (-3831.964) (-3851.768) (-3838.344) * (-3829.543) (-3834.856) [-3834.185] (-3842.549) -- 0:15:45
177000 -- (-3835.620) (-3820.701) [-3850.021] (-3838.435) * (-3832.093) [-3848.230] (-3825.231) (-3835.552) -- 0:15:43
178000 -- (-3844.485) (-3827.820) (-3844.277) [-3825.638] * (-3828.739) (-3839.438) [-3828.533] (-3847.081) -- 0:15:46
179000 -- (-3836.344) [-3829.233] (-3829.736) (-3855.586) * (-3822.729) (-3843.764) (-3827.918) [-3831.752] -- 0:15:44
180000 -- [-3835.644] (-3833.806) (-3825.750) (-3854.052) * (-3825.976) (-3858.823) (-3829.561) [-3825.733] -- 0:15:43
Average standard deviation of split frequencies: 0.027150
181000 -- [-3823.417] (-3834.075) (-3818.348) (-3819.221) * [-3812.097] (-3829.207) (-3814.962) (-3842.136) -- 0:15:41
182000 -- (-3818.549) (-3831.864) [-3824.209] (-3829.351) * (-3844.491) (-3821.468) [-3814.552] (-3827.807) -- 0:15:39
183000 -- [-3816.872] (-3844.566) (-3826.525) (-3822.631) * (-3826.944) [-3841.296] (-3827.191) (-3836.298) -- 0:15:37
184000 -- [-3820.508] (-3827.913) (-3829.091) (-3839.404) * (-3842.367) (-3840.563) (-3841.167) [-3814.696] -- 0:15:40
185000 -- (-3821.583) [-3820.901] (-3836.553) (-3841.099) * (-3822.537) (-3841.614) (-3847.649) [-3824.387] -- 0:15:38
Average standard deviation of split frequencies: 0.025745
186000 -- [-3824.639] (-3832.827) (-3824.029) (-3850.171) * (-3830.527) [-3840.022] (-3834.865) (-3825.275) -- 0:15:36
187000 -- (-3819.673) (-3836.314) (-3847.268) [-3824.853] * (-3811.858) [-3828.458] (-3846.232) (-3830.453) -- 0:15:34
188000 -- [-3815.543] (-3849.575) (-3841.852) (-3828.248) * (-3848.891) (-3830.494) [-3818.182] (-3831.789) -- 0:15:32
189000 -- (-3836.510) (-3847.892) (-3870.413) [-3817.286] * (-3841.326) (-3844.210) [-3816.710] (-3830.930) -- 0:15:35
190000 -- (-3827.159) [-3839.049] (-3849.831) (-3816.948) * (-3844.661) (-3829.478) (-3839.372) [-3818.174] -- 0:15:33
Average standard deviation of split frequencies: 0.026351
191000 -- (-3825.172) (-3831.006) (-3852.049) [-3822.235] * (-3825.818) [-3821.735] (-3831.760) (-3846.130) -- 0:15:31
192000 -- [-3823.419] (-3834.816) (-3824.451) (-3822.832) * (-3858.923) [-3820.236] (-3826.911) (-3837.507) -- 0:15:30
193000 -- (-3823.663) [-3827.591] (-3836.711) (-3830.332) * (-3868.280) (-3827.864) [-3843.544] (-3808.943) -- 0:15:28
194000 -- (-3849.593) [-3829.489] (-3836.781) (-3823.615) * (-3842.079) (-3844.228) (-3856.463) [-3814.507] -- 0:15:26
195000 -- (-3836.812) [-3825.816] (-3844.559) (-3832.131) * (-3831.254) (-3822.757) [-3835.721] (-3830.534) -- 0:15:28
Average standard deviation of split frequencies: 0.027912
196000 -- (-3835.471) (-3837.077) (-3854.768) [-3819.205] * [-3807.443] (-3832.733) (-3846.634) (-3839.462) -- 0:15:27
197000 -- (-3829.837) (-3839.423) (-3852.436) [-3813.459] * [-3830.804] (-3832.279) (-3837.458) (-3849.427) -- 0:15:25
198000 -- (-3832.525) (-3844.834) (-3825.661) [-3823.375] * (-3847.882) (-3843.634) [-3829.332] (-3837.722) -- 0:15:23
199000 -- (-3842.456) [-3840.624] (-3832.237) (-3807.328) * (-3838.239) (-3826.875) (-3831.902) [-3826.022] -- 0:15:21
200000 -- (-3845.920) (-3843.667) (-3829.980) [-3819.195] * (-3843.443) (-3821.107) (-3850.487) [-3822.483] -- 0:15:20
Average standard deviation of split frequencies: 0.028444
201000 -- (-3834.262) [-3829.591] (-3833.082) (-3844.426) * [-3835.288] (-3824.745) (-3840.430) (-3839.829) -- 0:15:22
202000 -- (-3855.271) (-3840.550) [-3830.785] (-3829.521) * (-3836.489) (-3839.749) [-3835.849] (-3814.350) -- 0:15:20
203000 -- [-3831.884] (-3830.040) (-3825.123) (-3843.389) * [-3828.779] (-3831.044) (-3838.707) (-3822.824) -- 0:15:18
204000 -- (-3847.672) (-3849.668) [-3829.467] (-3840.399) * [-3822.365] (-3839.222) (-3839.738) (-3813.454) -- 0:15:16
205000 -- (-3841.028) [-3816.346] (-3827.143) (-3836.895) * [-3814.566] (-3831.713) (-3839.206) (-3827.895) -- 0:15:15
Average standard deviation of split frequencies: 0.026170
206000 -- (-3830.906) [-3816.461] (-3841.039) (-3822.844) * (-3834.667) (-3834.536) (-3846.718) [-3821.966] -- 0:15:17
207000 -- (-3845.663) (-3838.984) (-3850.234) [-3820.060] * [-3815.351] (-3837.666) (-3829.772) (-3832.785) -- 0:15:15
208000 -- (-3839.849) (-3832.428) [-3824.637] (-3830.734) * (-3835.001) (-3860.378) (-3859.140) [-3821.551] -- 0:15:13
209000 -- (-3854.599) (-3828.823) [-3828.164] (-3831.579) * (-3833.453) [-3838.478] (-3841.460) (-3839.261) -- 0:15:12
210000 -- (-3850.805) (-3840.769) (-3836.994) [-3825.488] * (-3854.047) (-3820.791) [-3818.014] (-3830.483) -- 0:15:10
Average standard deviation of split frequencies: 0.023926
211000 -- (-3855.697) (-3846.655) [-3827.897] (-3840.483) * (-3827.769) [-3834.607] (-3843.685) (-3835.885) -- 0:15:08
212000 -- (-3856.895) (-3836.179) (-3830.908) [-3839.707] * (-3817.016) (-3838.576) [-3838.081] (-3823.841) -- 0:15:06
213000 -- (-3852.046) (-3837.711) (-3829.147) [-3825.917] * [-3833.754] (-3858.403) (-3825.299) (-3828.792) -- 0:15:08
214000 -- (-3835.862) (-3854.256) [-3823.991] (-3830.814) * (-3862.007) (-3849.160) (-3831.271) [-3817.380] -- 0:15:07
215000 -- (-3825.338) [-3823.046] (-3830.303) (-3841.677) * (-3827.674) (-3831.773) (-3835.081) [-3816.766] -- 0:15:05
Average standard deviation of split frequencies: 0.021997
216000 -- (-3843.501) (-3855.417) (-3829.770) [-3813.906] * (-3826.660) (-3840.888) (-3835.039) [-3814.721] -- 0:15:03
217000 -- [-3813.777] (-3834.691) (-3823.931) (-3840.841) * (-3832.483) [-3822.922] (-3835.375) (-3817.826) -- 0:15:02
218000 -- (-3818.810) (-3842.521) (-3831.919) [-3829.252] * [-3825.225] (-3820.270) (-3834.426) (-3828.732) -- 0:15:00
219000 -- (-3820.228) (-3854.904) (-3836.644) [-3841.197] * (-3832.604) (-3831.662) (-3859.418) [-3831.665] -- 0:15:02
220000 -- [-3836.377] (-3846.590) (-3818.125) (-3833.944) * (-3821.745) (-3824.444) (-3824.994) [-3815.471] -- 0:15:00
Average standard deviation of split frequencies: 0.019957
221000 -- (-3835.012) (-3845.580) [-3812.659] (-3842.447) * (-3842.663) (-3843.644) [-3823.399] (-3836.409) -- 0:14:58
222000 -- [-3816.984] (-3824.190) (-3805.838) (-3861.768) * [-3830.691] (-3841.782) (-3860.006) (-3833.704) -- 0:14:57
223000 -- [-3836.370] (-3862.347) (-3825.884) (-3849.971) * (-3827.902) [-3830.463] (-3838.676) (-3837.556) -- 0:14:55
224000 -- (-3827.840) (-3848.574) [-3831.442] (-3841.524) * [-3813.043] (-3832.149) (-3836.668) (-3858.927) -- 0:14:53
225000 -- (-3841.072) (-3842.358) [-3820.890] (-3849.361) * [-3819.908] (-3835.218) (-3843.486) (-3839.972) -- 0:14:55
Average standard deviation of split frequencies: 0.021073
226000 -- (-3842.276) (-3836.732) [-3809.170] (-3824.165) * (-3828.485) [-3836.894] (-3828.428) (-3849.995) -- 0:14:53
227000 -- (-3819.472) [-3824.248] (-3820.384) (-3842.446) * (-3836.172) [-3833.064] (-3814.655) (-3834.940) -- 0:14:52
228000 -- [-3819.732] (-3832.423) (-3822.967) (-3847.391) * (-3841.123) (-3843.413) [-3817.883] (-3819.023) -- 0:14:50
229000 -- (-3825.688) (-3841.771) (-3844.574) [-3823.968] * (-3844.136) (-3835.303) (-3837.731) [-3826.841] -- 0:14:48
230000 -- (-3826.984) (-3841.872) (-3823.475) [-3821.923] * (-3841.463) (-3824.138) [-3816.844] (-3846.193) -- 0:14:47
Average standard deviation of split frequencies: 0.021458
231000 -- (-3828.563) (-3839.884) (-3829.639) [-3824.538] * (-3846.343) (-3827.306) (-3831.183) [-3834.456] -- 0:14:48
232000 -- (-3831.630) (-3860.159) (-3826.713) [-3842.077] * (-3842.374) (-3835.105) [-3821.645] (-3834.089) -- 0:14:47
233000 -- (-3835.530) (-3854.616) (-3812.996) [-3826.550] * (-3843.057) (-3838.345) [-3820.922] (-3820.964) -- 0:14:45
234000 -- (-3839.859) (-3823.688) [-3817.590] (-3851.739) * [-3824.022] (-3854.484) (-3828.132) (-3827.481) -- 0:14:43
235000 -- [-3825.356] (-3844.303) (-3834.560) (-3857.667) * (-3829.507) (-3846.467) [-3838.363] (-3847.755) -- 0:14:45
Average standard deviation of split frequencies: 0.019770
236000 -- [-3820.358] (-3852.062) (-3830.083) (-3828.270) * (-3820.901) (-3848.212) [-3831.854] (-3831.632) -- 0:14:43
237000 -- [-3829.250] (-3838.826) (-3844.651) (-3837.022) * [-3813.145] (-3837.231) (-3828.747) (-3837.316) -- 0:14:42
238000 -- (-3862.775) [-3831.281] (-3818.649) (-3829.846) * [-3819.957] (-3849.027) (-3847.138) (-3834.891) -- 0:14:40
239000 -- (-3857.556) (-3832.745) (-3822.303) [-3826.569] * (-3824.701) (-3838.055) (-3856.046) [-3831.518] -- 0:14:38
240000 -- (-3840.182) (-3822.124) [-3823.113] (-3829.431) * [-3824.709] (-3837.523) (-3841.275) (-3845.612) -- 0:14:40
Average standard deviation of split frequencies: 0.019537
241000 -- (-3831.018) [-3829.032] (-3818.577) (-3829.377) * [-3820.205] (-3851.078) (-3828.465) (-3847.173) -- 0:14:38
242000 -- (-3843.848) [-3830.010] (-3833.550) (-3844.841) * (-3823.175) [-3818.581] (-3851.177) (-3828.523) -- 0:14:37
243000 -- (-3838.488) (-3843.713) [-3833.742] (-3844.424) * (-3822.144) [-3822.481] (-3857.006) (-3830.514) -- 0:14:35
244000 -- (-3809.421) [-3824.602] (-3837.833) (-3848.075) * (-3822.591) [-3830.517] (-3854.210) (-3830.340) -- 0:14:33
245000 -- [-3828.623] (-3849.469) (-3816.969) (-3839.200) * [-3816.766] (-3837.152) (-3829.039) (-3835.677) -- 0:14:32
Average standard deviation of split frequencies: 0.017199
246000 -- (-3846.076) (-3840.830) [-3827.892] (-3828.142) * (-3824.117) (-3835.763) [-3821.970] (-3842.283) -- 0:14:33
247000 -- (-3858.154) (-3837.419) (-3849.912) [-3831.172] * (-3839.658) (-3821.333) (-3822.693) [-3818.065] -- 0:14:31
248000 -- (-3851.750) [-3834.784] (-3830.449) (-3844.042) * (-3833.824) (-3828.067) (-3829.863) [-3831.130] -- 0:14:30
249000 -- (-3835.634) (-3837.347) (-3841.078) [-3837.252] * (-3833.404) (-3854.148) [-3831.118] (-3821.747) -- 0:14:28
250000 -- (-3846.986) (-3845.807) (-3839.236) [-3822.977] * (-3833.118) [-3827.067] (-3847.673) (-3826.152) -- 0:14:26
Average standard deviation of split frequencies: 0.014225
251000 -- (-3816.646) (-3844.713) (-3840.659) [-3825.086] * (-3857.367) [-3829.372] (-3834.295) (-3822.239) -- 0:14:25
252000 -- [-3819.562] (-3829.391) (-3853.009) (-3809.505) * [-3829.863] (-3861.962) (-3835.417) (-3848.915) -- 0:14:26
253000 -- (-3824.711) [-3820.200] (-3845.143) (-3827.454) * (-3823.314) [-3821.737] (-3847.450) (-3833.808) -- 0:14:25
254000 -- (-3835.346) (-3820.832) (-3835.186) [-3834.551] * [-3825.810] (-3841.892) (-3846.671) (-3827.225) -- 0:14:23
255000 -- (-3828.335) (-3842.371) (-3845.442) [-3828.189] * (-3845.744) (-3838.210) (-3840.236) [-3820.062] -- 0:14:21
Average standard deviation of split frequencies: 0.011727
256000 -- (-3831.677) (-3857.374) [-3843.885] (-3830.442) * (-3864.579) (-3839.906) (-3825.075) [-3813.370] -- 0:14:20
257000 -- (-3845.207) (-3834.577) [-3829.140] (-3839.730) * [-3829.559] (-3836.953) (-3842.333) (-3828.043) -- 0:14:21
258000 -- (-3850.042) [-3816.855] (-3829.440) (-3854.064) * (-3841.464) (-3848.866) [-3825.766] (-3831.004) -- 0:14:19
259000 -- (-3865.223) [-3835.855] (-3829.099) (-3844.725) * (-3836.058) (-3827.241) [-3819.226] (-3828.164) -- 0:14:18
260000 -- (-3838.365) (-3838.268) (-3830.176) [-3826.092] * (-3857.012) [-3833.092] (-3824.712) (-3827.118) -- 0:14:16
Average standard deviation of split frequencies: 0.011041
261000 -- (-3846.176) (-3847.271) (-3834.506) [-3833.974] * (-3844.695) [-3819.756] (-3832.442) (-3825.168) -- 0:14:15
262000 -- [-3831.059] (-3831.450) (-3828.164) (-3836.258) * (-3837.388) [-3827.769] (-3826.658) (-3817.810) -- 0:14:13
263000 -- (-3829.067) (-3842.345) [-3825.988] (-3826.884) * (-3834.243) [-3833.388] (-3842.106) (-3818.195) -- 0:14:11
264000 -- (-3822.393) (-3823.275) [-3819.705] (-3826.453) * (-3843.474) (-3821.733) [-3815.707] (-3840.102) -- 0:14:13
265000 -- (-3849.999) [-3825.420] (-3828.836) (-3824.274) * [-3826.701] (-3832.479) (-3827.454) (-3848.733) -- 0:14:11
Average standard deviation of split frequencies: 0.011053
266000 -- (-3852.285) (-3827.141) (-3819.223) [-3827.661] * (-3834.567) (-3816.058) [-3829.898] (-3818.129) -- 0:14:09
267000 -- (-3834.820) (-3832.085) (-3838.614) [-3823.624] * (-3838.177) (-3823.672) (-3853.077) [-3828.306] -- 0:14:08
268000 -- (-3849.371) [-3822.134] (-3842.033) (-3840.805) * (-3834.412) (-3843.573) [-3826.024] (-3817.455) -- 0:14:06
269000 -- (-3827.572) (-3824.654) (-3831.452) [-3824.605] * (-3834.969) (-3828.726) (-3829.177) [-3834.421] -- 0:14:07
270000 -- (-3837.842) (-3833.633) [-3829.482] (-3839.282) * (-3836.294) (-3820.905) [-3819.613] (-3845.913) -- 0:14:06
Average standard deviation of split frequencies: 0.011962
271000 -- (-3850.896) (-3828.474) [-3842.976] (-3834.131) * (-3832.327) (-3825.648) [-3820.793] (-3862.062) -- 0:14:04
272000 -- (-3870.181) (-3833.887) [-3825.512] (-3831.701) * (-3847.468) (-3829.662) [-3830.286] (-3849.757) -- 0:14:03
273000 -- (-3838.746) (-3835.695) [-3816.436] (-3836.524) * (-3831.940) [-3826.803] (-3831.933) (-3849.631) -- 0:14:01
274000 -- (-3820.538) (-3828.048) [-3810.931] (-3830.706) * [-3824.765] (-3822.090) (-3817.758) (-3852.773) -- 0:13:59
275000 -- (-3838.437) [-3823.011] (-3840.915) (-3844.519) * [-3832.055] (-3829.529) (-3824.066) (-3853.538) -- 0:13:58
Average standard deviation of split frequencies: 0.011192
276000 -- (-3839.180) (-3817.915) (-3840.122) [-3831.108] * (-3830.445) (-3824.509) [-3835.543] (-3835.990) -- 0:13:59
277000 -- (-3823.625) (-3833.077) (-3822.579) [-3826.760] * [-3829.419] (-3839.283) (-3838.842) (-3834.196) -- 0:13:57
278000 -- [-3820.709] (-3828.529) (-3816.423) (-3829.333) * (-3848.031) (-3833.791) (-3838.072) [-3831.389] -- 0:13:56
279000 -- (-3821.262) (-3834.531) [-3826.775] (-3825.574) * (-3847.481) (-3833.895) (-3836.881) [-3820.204] -- 0:13:54
280000 -- (-3827.446) [-3839.730] (-3825.814) (-3833.916) * (-3834.114) (-3832.916) (-3851.660) [-3832.044] -- 0:13:53
Average standard deviation of split frequencies: 0.010962
281000 -- (-3828.251) [-3818.605] (-3833.377) (-3851.956) * (-3849.933) (-3828.850) [-3827.247] (-3813.454) -- 0:13:51
282000 -- [-3818.796] (-3827.665) (-3839.879) (-3820.524) * (-3848.017) [-3820.915] (-3852.476) (-3833.702) -- 0:13:52
283000 -- [-3821.725] (-3833.058) (-3865.257) (-3822.795) * (-3838.597) (-3828.249) (-3830.115) [-3823.774] -- 0:13:51
284000 -- (-3833.021) (-3834.233) (-3835.982) [-3812.201] * (-3837.099) [-3829.703] (-3844.982) (-3828.833) -- 0:13:49
285000 -- (-3845.078) (-3828.800) [-3824.828] (-3828.002) * (-3825.648) (-3829.575) (-3841.998) [-3822.530] -- 0:13:47
Average standard deviation of split frequencies: 0.011147
286000 -- (-3837.013) (-3831.242) [-3834.955] (-3837.907) * (-3820.862) (-3849.923) [-3820.898] (-3813.090) -- 0:13:46
287000 -- (-3844.641) (-3849.221) [-3826.533] (-3842.271) * (-3846.623) (-3842.471) [-3829.358] (-3823.647) -- 0:13:44
288000 -- (-3846.193) (-3859.457) (-3832.615) [-3825.851] * (-3823.394) (-3846.822) (-3848.427) [-3812.716] -- 0:13:43
289000 -- (-3845.637) (-3831.711) (-3829.056) [-3837.278] * [-3833.458] (-3841.252) (-3852.624) (-3829.689) -- 0:13:41
290000 -- [-3843.193] (-3840.486) (-3842.973) (-3825.407) * [-3838.798] (-3841.062) (-3852.086) (-3842.878) -- 0:13:42
Average standard deviation of split frequencies: 0.010840
291000 -- (-3835.532) (-3823.270) [-3815.552] (-3825.781) * (-3833.627) [-3836.790] (-3825.829) (-3859.717) -- 0:13:41
292000 -- (-3842.462) (-3834.892) [-3823.158] (-3837.467) * (-3834.799) [-3837.127] (-3838.131) (-3830.903) -- 0:13:39
293000 -- (-3846.331) (-3848.792) [-3838.358] (-3822.299) * (-3835.284) [-3819.598] (-3845.601) (-3834.466) -- 0:13:37
294000 -- (-3817.475) (-3833.613) (-3846.819) [-3804.974] * (-3843.196) (-3830.826) [-3829.444] (-3841.183) -- 0:13:36
295000 -- (-3829.247) (-3854.036) [-3830.841] (-3824.436) * (-3850.901) (-3821.214) (-3837.790) [-3835.838] -- 0:13:34
Average standard deviation of split frequencies: 0.010478
296000 -- [-3820.699] (-3832.032) (-3855.030) (-3814.685) * (-3830.911) [-3828.770] (-3831.455) (-3832.752) -- 0:13:35
297000 -- (-3839.703) (-3842.328) (-3859.604) [-3823.199] * (-3859.011) (-3834.497) [-3822.526] (-3832.156) -- 0:13:34
298000 -- (-3837.647) (-3847.056) (-3850.406) [-3834.446] * (-3833.220) (-3837.837) [-3824.870] (-3845.759) -- 0:13:32
299000 -- (-3840.250) [-3837.998] (-3837.359) (-3836.935) * [-3822.603] (-3831.812) (-3818.021) (-3839.620) -- 0:13:31
300000 -- [-3818.012] (-3827.620) (-3842.743) (-3845.481) * [-3819.613] (-3835.391) (-3841.278) (-3831.987) -- 0:13:29
Average standard deviation of split frequencies: 0.010356
301000 -- (-3828.507) (-3828.447) (-3845.806) [-3824.814] * [-3838.240] (-3844.162) (-3830.544) (-3833.613) -- 0:13:28
302000 -- (-3839.286) (-3836.507) [-3817.171] (-3829.262) * (-3829.050) [-3835.743] (-3828.522) (-3834.626) -- 0:13:26
303000 -- (-3833.989) (-3842.771) (-3831.459) [-3828.765] * (-3832.741) [-3828.498] (-3840.624) (-3834.757) -- 0:13:27
304000 -- [-3822.992] (-3830.424) (-3818.473) (-3823.939) * (-3857.500) (-3832.481) (-3836.109) [-3841.958] -- 0:13:25
305000 -- (-3819.285) (-3850.880) (-3835.357) [-3824.842] * (-3847.954) (-3842.318) (-3845.840) [-3822.784] -- 0:13:24
Average standard deviation of split frequencies: 0.009915
306000 -- (-3825.954) [-3822.772] (-3845.690) (-3841.392) * (-3835.403) (-3854.150) (-3841.400) [-3845.336] -- 0:13:22
307000 -- (-3846.730) (-3834.837) (-3837.651) [-3833.139] * (-3822.505) [-3828.971] (-3842.599) (-3821.292) -- 0:13:21
308000 -- [-3823.174] (-3825.887) (-3833.715) (-3833.976) * (-3824.824) [-3830.868] (-3840.303) (-3840.167) -- 0:13:19
309000 -- [-3829.504] (-3823.580) (-3839.616) (-3838.271) * (-3832.158) (-3841.616) [-3831.397] (-3845.512) -- 0:13:20
310000 -- (-3845.767) (-3833.084) (-3836.994) [-3838.326] * (-3830.616) (-3833.832) (-3836.641) [-3832.229] -- 0:13:19
Average standard deviation of split frequencies: 0.011283
311000 -- (-3843.021) (-3835.588) [-3835.518] (-3835.545) * (-3827.728) (-3832.263) [-3819.877] (-3861.302) -- 0:13:17
312000 -- (-3857.588) [-3829.396] (-3855.063) (-3827.557) * (-3839.714) [-3831.051] (-3828.846) (-3872.534) -- 0:13:16
313000 -- [-3830.655] (-3832.474) (-3857.769) (-3842.181) * [-3824.483] (-3832.879) (-3846.446) (-3840.531) -- 0:13:14
314000 -- (-3823.560) (-3831.096) (-3831.370) [-3823.509] * (-3840.811) (-3840.974) [-3830.623] (-3824.222) -- 0:13:13
315000 -- (-3828.414) (-3835.593) [-3827.541] (-3838.582) * (-3833.912) [-3812.135] (-3840.039) (-3822.545) -- 0:13:13
Average standard deviation of split frequencies: 0.013732
316000 -- (-3819.722) (-3854.810) [-3808.011] (-3835.855) * (-3857.049) (-3814.166) [-3831.871] (-3836.955) -- 0:13:12
317000 -- (-3821.664) [-3815.720] (-3838.218) (-3836.622) * (-3822.264) (-3838.597) [-3829.523] (-3830.005) -- 0:13:10
318000 -- (-3839.346) (-3819.277) (-3825.221) [-3830.624] * [-3822.158] (-3815.093) (-3825.691) (-3845.199) -- 0:13:09
319000 -- (-3844.203) [-3830.657] (-3823.697) (-3842.720) * [-3825.175] (-3816.413) (-3831.887) (-3835.409) -- 0:13:07
320000 -- (-3853.206) (-3831.413) [-3820.152] (-3845.305) * [-3830.659] (-3828.076) (-3857.842) (-3840.908) -- 0:13:08
Average standard deviation of split frequencies: 0.014927
321000 -- (-3831.657) (-3831.365) [-3814.827] (-3851.629) * [-3829.369] (-3833.237) (-3836.063) (-3849.047) -- 0:13:06
322000 -- (-3840.926) (-3839.561) (-3833.188) [-3832.146] * (-3831.279) [-3830.053] (-3839.038) (-3838.482) -- 0:13:05
323000 -- [-3824.788] (-3833.966) (-3830.843) (-3835.800) * (-3837.809) (-3832.333) [-3817.386] (-3836.606) -- 0:13:03
324000 -- (-3839.869) (-3846.024) (-3841.522) [-3820.988] * [-3841.207] (-3838.822) (-3843.793) (-3833.912) -- 0:13:02
325000 -- (-3856.712) [-3834.895] (-3856.409) (-3832.466) * (-3844.280) (-3839.107) [-3825.591] (-3838.628) -- 0:13:03
Average standard deviation of split frequencies: 0.015870
326000 -- (-3847.515) (-3829.179) (-3855.556) [-3822.749] * (-3826.780) [-3836.629] (-3820.908) (-3852.727) -- 0:13:01
327000 -- (-3838.552) (-3824.795) [-3836.593] (-3840.061) * (-3830.576) (-3839.803) (-3837.495) [-3843.469] -- 0:13:00
328000 -- (-3849.338) [-3828.879] (-3827.054) (-3828.463) * [-3822.156] (-3836.593) (-3817.436) (-3837.363) -- 0:12:58
329000 -- (-3851.427) [-3840.653] (-3822.293) (-3835.436) * [-3830.751] (-3831.175) (-3819.374) (-3846.325) -- 0:12:57
330000 -- (-3837.647) [-3840.862] (-3841.923) (-3827.065) * [-3821.941] (-3846.971) (-3826.460) (-3846.809) -- 0:12:55
Average standard deviation of split frequencies: 0.016929
331000 -- (-3844.673) [-3823.207] (-3847.243) (-3850.139) * [-3833.687] (-3850.684) (-3816.220) (-3851.265) -- 0:12:54
332000 -- (-3824.612) [-3822.039] (-3839.602) (-3841.585) * (-3849.864) (-3831.599) [-3821.239] (-3846.639) -- 0:12:54
333000 -- [-3826.137] (-3823.147) (-3843.941) (-3847.659) * [-3815.556] (-3843.967) (-3823.883) (-3830.939) -- 0:12:53
334000 -- (-3839.365) (-3827.526) [-3825.559] (-3857.529) * (-3822.792) (-3833.906) [-3824.813] (-3839.060) -- 0:12:51
335000 -- (-3843.237) [-3826.130] (-3818.857) (-3834.524) * (-3836.288) [-3839.694] (-3844.752) (-3849.059) -- 0:12:50
Average standard deviation of split frequencies: 0.016275
336000 -- [-3819.125] (-3825.588) (-3838.748) (-3836.289) * (-3834.102) (-3842.710) [-3826.185] (-3850.813) -- 0:12:48
337000 -- (-3841.757) [-3820.685] (-3826.863) (-3834.765) * (-3832.737) (-3824.629) [-3821.903] (-3836.404) -- 0:12:47
338000 -- (-3829.272) [-3827.648] (-3837.928) (-3837.423) * (-3836.148) (-3824.994) (-3839.054) [-3832.409] -- 0:12:45
339000 -- [-3827.753] (-3837.128) (-3845.085) (-3839.904) * (-3828.449) (-3830.714) (-3831.286) [-3837.707] -- 0:12:46
340000 -- [-3832.991] (-3833.025) (-3843.539) (-3827.540) * (-3833.179) [-3817.086] (-3843.229) (-3849.897) -- 0:12:44
Average standard deviation of split frequencies: 0.015325
341000 -- [-3830.656] (-3844.220) (-3819.443) (-3844.407) * (-3825.831) (-3836.875) [-3825.061] (-3842.660) -- 0:12:43
342000 -- (-3833.502) (-3832.400) [-3823.720] (-3852.993) * (-3826.120) (-3818.150) [-3838.475] (-3847.628) -- 0:12:41
343000 -- (-3830.661) (-3835.294) (-3829.209) [-3827.830] * (-3837.860) (-3821.818) [-3830.997] (-3847.304) -- 0:12:40
344000 -- [-3822.901] (-3836.835) (-3827.835) (-3845.034) * (-3819.202) (-3827.789) [-3816.787] (-3844.229) -- 0:12:38
345000 -- (-3823.701) (-3848.966) [-3817.662] (-3850.476) * (-3841.502) [-3820.069] (-3828.187) (-3823.973) -- 0:12:37
Average standard deviation of split frequencies: 0.016860
346000 -- (-3842.672) (-3844.941) [-3817.433] (-3834.986) * [-3830.204] (-3828.013) (-3827.068) (-3842.274) -- 0:12:36
347000 -- (-3840.467) (-3860.619) [-3823.325] (-3816.001) * [-3829.586] (-3846.031) (-3832.248) (-3830.964) -- 0:12:36
348000 -- (-3844.731) (-3846.994) [-3817.056] (-3837.973) * (-3838.325) [-3847.182] (-3833.621) (-3831.010) -- 0:12:35
349000 -- (-3841.428) (-3856.557) (-3836.402) [-3830.806] * [-3820.263] (-3848.099) (-3829.776) (-3856.576) -- 0:12:33
350000 -- (-3845.754) (-3835.691) [-3819.675] (-3830.039) * (-3825.478) [-3837.165] (-3843.621) (-3852.318) -- 0:12:32
Average standard deviation of split frequencies: 0.018182
351000 -- (-3833.097) (-3856.070) (-3824.863) [-3819.574] * (-3829.789) (-3853.311) [-3830.449] (-3828.670) -- 0:12:30
352000 -- (-3821.749) (-3834.300) (-3827.878) [-3837.842] * [-3810.737] (-3838.128) (-3833.267) (-3824.944) -- 0:12:29
353000 -- [-3820.922] (-3841.115) (-3835.857) (-3849.726) * [-3823.184] (-3841.718) (-3825.283) (-3842.718) -- 0:12:29
354000 -- [-3825.662] (-3852.590) (-3817.763) (-3834.893) * (-3829.056) (-3828.841) [-3826.055] (-3850.974) -- 0:12:28
355000 -- (-3829.446) (-3838.187) (-3834.062) [-3822.409] * (-3847.229) (-3817.908) (-3845.731) [-3818.702] -- 0:12:26
Average standard deviation of split frequencies: 0.018836
356000 -- (-3828.866) [-3831.310] (-3825.527) (-3840.371) * (-3834.306) [-3825.815] (-3845.715) (-3813.837) -- 0:12:25
357000 -- [-3821.729] (-3828.893) (-3830.009) (-3837.753) * (-3825.374) (-3842.264) (-3852.046) [-3826.290] -- 0:12:23
358000 -- (-3830.057) [-3838.522] (-3829.736) (-3831.794) * (-3832.084) (-3821.521) (-3831.270) [-3828.104] -- 0:12:22
359000 -- (-3845.476) [-3828.232] (-3820.608) (-3831.629) * (-3843.064) [-3823.159] (-3837.317) (-3835.139) -- 0:12:20
360000 -- (-3841.200) [-3836.051] (-3832.623) (-3838.006) * (-3838.540) (-3849.500) (-3844.105) [-3848.481] -- 0:12:21
Average standard deviation of split frequencies: 0.017896
361000 -- (-3839.297) [-3824.501] (-3844.571) (-3838.541) * (-3828.598) [-3814.148] (-3837.182) (-3861.870) -- 0:12:19
362000 -- (-3828.505) (-3841.246) [-3825.355] (-3855.264) * (-3827.083) (-3837.178) [-3826.148] (-3843.536) -- 0:12:18
363000 -- [-3839.933] (-3861.423) (-3819.394) (-3849.458) * [-3825.001] (-3842.218) (-3833.954) (-3848.319) -- 0:12:17
364000 -- [-3833.050] (-3857.334) (-3845.257) (-3843.040) * (-3846.357) (-3831.530) [-3828.746] (-3829.541) -- 0:12:15
365000 -- (-3834.025) [-3835.415] (-3832.727) (-3838.769) * [-3835.630] (-3837.288) (-3850.186) (-3844.889) -- 0:12:14
Average standard deviation of split frequencies: 0.018957
366000 -- (-3840.744) (-3836.132) (-3845.151) [-3832.072] * [-3826.098] (-3823.548) (-3834.842) (-3842.330) -- 0:12:12
367000 -- (-3842.095) [-3811.853] (-3841.704) (-3834.583) * (-3820.986) [-3830.056] (-3822.804) (-3851.684) -- 0:12:13
368000 -- (-3839.126) (-3838.465) [-3823.153] (-3842.949) * [-3824.039] (-3840.522) (-3847.041) (-3836.231) -- 0:12:11
369000 -- (-3848.588) [-3833.060] (-3845.394) (-3841.745) * (-3838.158) [-3820.929] (-3845.070) (-3834.034) -- 0:12:10
370000 -- (-3837.963) (-3846.351) [-3827.297] (-3827.360) * [-3843.242] (-3830.881) (-3840.824) (-3832.176) -- 0:12:08
Average standard deviation of split frequencies: 0.019207
371000 -- [-3832.643] (-3822.404) (-3839.614) (-3828.561) * (-3846.720) (-3841.337) (-3849.358) [-3825.125] -- 0:12:07
372000 -- [-3828.424] (-3849.791) (-3845.199) (-3831.060) * (-3838.271) (-3817.063) (-3864.949) [-3824.683] -- 0:12:05
373000 -- [-3827.331] (-3834.716) (-3844.529) (-3829.203) * (-3836.901) (-3822.224) [-3831.969] (-3838.205) -- 0:12:04
374000 -- [-3836.474] (-3824.890) (-3847.504) (-3850.920) * (-3840.537) (-3828.534) [-3828.926] (-3845.051) -- 0:12:04
375000 -- [-3827.904] (-3824.979) (-3819.180) (-3853.331) * [-3825.678] (-3840.154) (-3863.142) (-3834.074) -- 0:12:03
Average standard deviation of split frequencies: 0.019128
376000 -- (-3843.568) [-3821.411] (-3831.744) (-3827.898) * (-3837.524) (-3847.274) (-3846.949) [-3830.313] -- 0:12:01
377000 -- (-3840.417) (-3818.001) (-3835.907) [-3820.627] * (-3827.937) (-3841.050) [-3826.187] (-3841.336) -- 0:12:00
378000 -- (-3846.767) [-3816.791] (-3833.901) (-3860.894) * (-3836.774) [-3809.640] (-3835.213) (-3848.447) -- 0:11:59
379000 -- [-3828.452] (-3830.388) (-3843.493) (-3854.840) * [-3818.831] (-3819.078) (-3830.279) (-3843.782) -- 0:11:57
380000 -- (-3854.156) [-3818.870] (-3823.420) (-3829.795) * (-3840.604) (-3832.632) [-3837.691] (-3833.814) -- 0:11:57
Average standard deviation of split frequencies: 0.018099
381000 -- (-3842.862) (-3829.383) [-3825.269] (-3826.682) * (-3834.863) [-3827.851] (-3823.700) (-3835.581) -- 0:11:56
382000 -- (-3842.174) (-3845.881) (-3836.299) [-3836.078] * [-3825.690] (-3827.805) (-3843.850) (-3856.826) -- 0:11:55
383000 -- [-3823.208] (-3865.596) (-3834.693) (-3837.543) * (-3849.567) (-3835.021) [-3833.853] (-3837.723) -- 0:11:53
384000 -- [-3835.208] (-3859.074) (-3825.236) (-3824.510) * (-3830.380) (-3838.147) (-3863.703) [-3819.907] -- 0:11:52
385000 -- (-3835.414) (-3833.949) [-3821.992] (-3835.388) * (-3835.502) (-3837.573) [-3827.108] (-3829.280) -- 0:11:50
Average standard deviation of split frequencies: 0.017223
386000 -- [-3822.742] (-3831.745) (-3842.090) (-3829.617) * (-3859.286) [-3816.347] (-3838.858) (-3844.864) -- 0:11:49
387000 -- (-3830.933) (-3824.043) (-3851.003) [-3814.607] * (-3850.808) [-3811.472] (-3846.966) (-3837.334) -- 0:11:49
388000 -- (-3840.850) (-3853.880) (-3821.284) [-3827.708] * (-3843.828) [-3818.903] (-3837.367) (-3825.481) -- 0:11:48
389000 -- (-3829.226) (-3837.899) [-3823.373] (-3832.691) * (-3841.122) (-3833.726) [-3823.323] (-3850.567) -- 0:11:46
390000 -- (-3818.744) (-3837.841) (-3836.265) [-3815.929] * (-3825.488) [-3826.817] (-3839.121) (-3857.589) -- 0:11:45
Average standard deviation of split frequencies: 0.015655
391000 -- (-3838.648) (-3829.838) [-3824.619] (-3821.107) * (-3836.968) [-3808.682] (-3839.457) (-3837.555) -- 0:11:44
392000 -- [-3838.138] (-3843.245) (-3842.664) (-3814.167) * (-3824.108) [-3823.428] (-3864.584) (-3827.906) -- 0:11:42
393000 -- (-3825.427) (-3826.140) (-3840.645) [-3816.127] * [-3825.376] (-3826.002) (-3834.623) (-3838.931) -- 0:11:42
394000 -- [-3835.064] (-3837.188) (-3821.205) (-3825.898) * (-3830.269) [-3833.546] (-3843.228) (-3812.932) -- 0:11:41
395000 -- [-3816.124] (-3836.837) (-3844.688) (-3852.598) * (-3830.032) (-3827.110) (-3837.404) [-3818.504] -- 0:11:39
Average standard deviation of split frequencies: 0.015381
396000 -- (-3840.549) (-3821.571) [-3822.240] (-3840.359) * (-3841.652) [-3815.025] (-3813.567) (-3829.916) -- 0:11:38
397000 -- (-3827.231) (-3837.865) (-3845.939) [-3835.277] * (-3856.674) [-3811.923] (-3828.123) (-3832.252) -- 0:11:37
398000 -- [-3825.882] (-3846.132) (-3826.072) (-3836.642) * (-3843.904) (-3843.060) (-3826.307) [-3822.067] -- 0:11:35
399000 -- [-3834.722] (-3837.937) (-3848.069) (-3822.350) * (-3830.993) (-3826.206) (-3853.412) [-3826.652] -- 0:11:35
400000 -- (-3844.480) (-3833.956) [-3828.385] (-3828.514) * (-3841.142) [-3820.190] (-3824.002) (-3847.358) -- 0:11:34
Average standard deviation of split frequencies: 0.014335
401000 -- [-3847.618] (-3827.622) (-3847.220) (-3837.734) * (-3837.508) (-3831.092) (-3810.023) [-3834.708] -- 0:11:33
402000 -- (-3837.350) [-3826.432] (-3840.308) (-3834.226) * (-3827.674) [-3833.481] (-3834.129) (-3844.422) -- 0:11:31
403000 -- (-3842.609) [-3824.239] (-3831.267) (-3841.724) * [-3815.144] (-3818.023) (-3845.638) (-3848.355) -- 0:11:30
404000 -- (-3831.832) (-3827.986) (-3844.506) [-3849.381] * [-3826.933] (-3828.217) (-3855.281) (-3855.573) -- 0:11:30
405000 -- (-3846.950) [-3817.900] (-3844.963) (-3843.721) * (-3846.311) (-3813.684) (-3862.269) [-3818.071] -- 0:11:29
Average standard deviation of split frequencies: 0.014422
406000 -- (-3837.790) [-3810.398] (-3844.238) (-3835.368) * (-3834.825) (-3835.749) [-3820.089] (-3823.447) -- 0:11:27
407000 -- (-3828.654) [-3826.912] (-3841.191) (-3832.100) * (-3823.502) [-3819.988] (-3835.011) (-3846.243) -- 0:11:26
408000 -- (-3824.915) [-3824.569] (-3846.830) (-3839.309) * (-3833.307) (-3831.893) (-3835.015) [-3813.963] -- 0:11:24
409000 -- (-3826.387) [-3827.122] (-3841.503) (-3844.170) * (-3842.294) (-3830.639) [-3822.980] (-3840.741) -- 0:11:23
410000 -- (-3835.144) [-3831.703] (-3832.016) (-3855.419) * (-3830.411) [-3822.750] (-3862.458) (-3826.759) -- 0:11:22
Average standard deviation of split frequencies: 0.013805
411000 -- (-3826.208) [-3810.576] (-3889.288) (-3829.607) * (-3829.480) [-3826.378] (-3836.923) (-3831.360) -- 0:11:22
412000 -- (-3838.321) (-3822.003) (-3852.506) [-3828.399] * [-3823.008] (-3838.268) (-3846.307) (-3832.282) -- 0:11:20
413000 -- (-3824.826) [-3809.704] (-3843.569) (-3841.369) * [-3823.358] (-3856.004) (-3866.653) (-3826.561) -- 0:11:19
414000 -- [-3826.464] (-3826.821) (-3847.839) (-3857.858) * (-3831.672) [-3844.326] (-3841.768) (-3835.363) -- 0:11:18
415000 -- (-3845.848) (-3835.097) [-3839.179] (-3835.596) * [-3840.675] (-3854.395) (-3839.562) (-3839.451) -- 0:11:16
Average standard deviation of split frequencies: 0.013121
416000 -- [-3820.361] (-3833.918) (-3847.648) (-3831.960) * (-3845.698) (-3834.965) (-3813.465) [-3835.501] -- 0:11:15
417000 -- (-3835.401) (-3834.764) [-3829.271] (-3829.005) * (-3848.534) (-3825.872) [-3821.812] (-3867.115) -- 0:11:15
418000 -- (-3837.475) [-3816.401] (-3861.381) (-3843.118) * [-3839.038] (-3834.190) (-3834.221) (-3848.662) -- 0:11:13
419000 -- [-3831.157] (-3834.964) (-3861.414) (-3830.872) * [-3827.803] (-3851.214) (-3844.570) (-3833.153) -- 0:11:12
420000 -- [-3831.780] (-3816.934) (-3836.462) (-3834.447) * (-3859.672) (-3835.368) (-3823.375) [-3836.518] -- 0:11:11
Average standard deviation of split frequencies: 0.012445
421000 -- (-3857.146) (-3820.639) (-3824.430) [-3823.923] * (-3850.376) (-3830.231) (-3831.596) [-3832.219] -- 0:11:09
422000 -- (-3860.640) [-3836.807] (-3840.507) (-3834.930) * (-3843.050) (-3838.973) (-3860.076) [-3826.360] -- 0:11:08
423000 -- (-3831.860) (-3831.635) [-3833.219] (-3833.781) * (-3830.407) [-3834.983] (-3836.123) (-3830.390) -- 0:11:07
424000 -- (-3836.082) [-3820.417] (-3850.336) (-3827.379) * (-3858.921) [-3836.263] (-3843.639) (-3830.375) -- 0:11:05
425000 -- (-3826.316) [-3822.875] (-3834.232) (-3842.012) * (-3831.692) (-3854.894) (-3839.807) [-3833.187] -- 0:11:04
Average standard deviation of split frequencies: 0.011910
426000 -- [-3844.250] (-3848.538) (-3839.883) (-3833.164) * [-3831.890] (-3857.819) (-3838.266) (-3843.958) -- 0:11:04
427000 -- (-3845.186) (-3845.856) [-3821.760] (-3827.131) * [-3840.541] (-3843.728) (-3818.199) (-3830.405) -- 0:11:02
428000 -- (-3828.535) [-3826.882] (-3828.650) (-3836.810) * (-3815.191) (-3866.354) [-3822.465] (-3845.298) -- 0:11:01
429000 -- (-3822.659) (-3839.698) (-3834.862) [-3823.744] * (-3827.561) (-3847.481) [-3824.337] (-3837.853) -- 0:11:00
430000 -- [-3827.532] (-3827.759) (-3847.791) (-3828.301) * (-3844.719) (-3827.673) [-3828.035] (-3857.490) -- 0:10:58
Average standard deviation of split frequencies: 0.010341
431000 -- (-3840.070) (-3848.066) (-3849.549) [-3832.336] * (-3836.088) (-3824.281) [-3822.401] (-3841.700) -- 0:10:57
432000 -- [-3836.357] (-3817.329) (-3846.514) (-3834.671) * (-3826.553) (-3846.495) [-3834.828] (-3847.043) -- 0:10:56
433000 -- (-3841.378) [-3829.521] (-3840.022) (-3814.207) * (-3834.055) [-3830.951] (-3837.839) (-3864.991) -- 0:10:54
434000 -- [-3820.202] (-3826.016) (-3829.250) (-3834.975) * (-3843.177) [-3817.975] (-3815.714) (-3853.483) -- 0:10:53
435000 -- (-3831.488) (-3841.505) [-3820.531] (-3835.474) * (-3852.090) [-3816.248] (-3813.334) (-3841.789) -- 0:10:53
Average standard deviation of split frequencies: 0.008223
436000 -- [-3827.423] (-3840.097) (-3832.318) (-3847.792) * (-3846.144) [-3808.728] (-3850.251) (-3835.845) -- 0:10:51
437000 -- [-3828.982] (-3865.938) (-3833.939) (-3828.771) * [-3832.605] (-3842.028) (-3851.641) (-3837.343) -- 0:10:50
438000 -- (-3833.711) (-3832.328) (-3822.321) [-3829.527] * (-3839.623) [-3816.969] (-3851.745) (-3839.598) -- 0:10:49
439000 -- [-3821.322] (-3831.609) (-3818.884) (-3843.767) * (-3848.100) [-3824.589] (-3821.580) (-3837.799) -- 0:10:47
440000 -- (-3840.059) (-3815.934) [-3822.529] (-3834.273) * (-3846.312) [-3812.432] (-3832.749) (-3825.699) -- 0:10:46
Average standard deviation of split frequencies: 0.007207
441000 -- [-3824.238] (-3818.023) (-3823.158) (-3819.325) * (-3834.182) [-3817.500] (-3833.213) (-3830.749) -- 0:10:45
442000 -- (-3832.213) [-3828.517] (-3828.593) (-3835.944) * [-3829.932] (-3824.141) (-3823.285) (-3827.540) -- 0:10:45
443000 -- (-3861.756) (-3826.739) [-3820.798] (-3831.579) * [-3810.725] (-3829.549) (-3831.464) (-3831.974) -- 0:10:43
444000 -- (-3845.392) (-3823.356) (-3829.281) [-3818.198] * [-3833.894] (-3821.034) (-3833.272) (-3845.505) -- 0:10:42
445000 -- [-3835.271] (-3832.426) (-3820.962) (-3823.753) * [-3831.812] (-3832.799) (-3824.557) (-3841.691) -- 0:10:41
Average standard deviation of split frequencies: 0.007482
446000 -- (-3838.676) [-3825.875] (-3837.785) (-3846.978) * [-3823.466] (-3824.898) (-3836.682) (-3866.811) -- 0:10:39
447000 -- (-3838.631) [-3821.115] (-3845.923) (-3819.236) * (-3821.862) (-3837.078) [-3826.716] (-3848.089) -- 0:10:38
448000 -- (-3839.797) (-3822.673) [-3824.691] (-3838.352) * [-3824.719] (-3845.507) (-3835.587) (-3835.761) -- 0:10:38
449000 -- (-3834.096) (-3834.837) [-3826.773] (-3840.219) * [-3827.105] (-3823.453) (-3834.622) (-3853.897) -- 0:10:36
450000 -- (-3839.846) (-3842.243) [-3841.653] (-3834.276) * (-3843.291) [-3831.229] (-3821.165) (-3827.439) -- 0:10:35
Average standard deviation of split frequencies: 0.007818
451000 -- (-3843.713) (-3837.963) (-3834.528) [-3840.600] * [-3830.104] (-3840.580) (-3828.445) (-3836.939) -- 0:10:34
452000 -- (-3848.223) (-3842.984) (-3839.134) [-3830.932] * (-3840.371) (-3849.941) (-3815.856) [-3836.217] -- 0:10:32
453000 -- [-3826.029] (-3829.143) (-3831.432) (-3839.488) * (-3824.711) [-3852.093] (-3845.589) (-3849.037) -- 0:10:31
454000 -- [-3842.157] (-3833.969) (-3841.006) (-3845.598) * (-3819.901) (-3848.401) (-3829.780) [-3829.440] -- 0:10:30
455000 -- [-3844.963] (-3840.715) (-3834.662) (-3848.876) * [-3823.756] (-3828.452) (-3852.846) (-3851.575) -- 0:10:30
Average standard deviation of split frequencies: 0.008297
456000 -- [-3821.026] (-3835.342) (-3826.762) (-3863.847) * (-3850.260) (-3839.455) [-3845.335] (-3842.440) -- 0:10:28
457000 -- [-3831.579] (-3829.370) (-3824.789) (-3832.239) * (-3845.139) [-3814.629] (-3839.791) (-3832.989) -- 0:10:27
458000 -- [-3833.505] (-3823.595) (-3831.711) (-3838.042) * (-3835.538) (-3826.666) [-3818.488] (-3830.725) -- 0:10:26
459000 -- (-3826.757) (-3828.367) (-3844.684) [-3818.880] * (-3834.451) (-3808.343) (-3859.344) [-3817.451] -- 0:10:24
460000 -- (-3829.030) (-3842.076) (-3846.667) [-3821.010] * [-3830.855] (-3834.265) (-3851.896) (-3814.214) -- 0:10:23
Average standard deviation of split frequencies: 0.008887
461000 -- (-3824.087) [-3822.826] (-3841.947) (-3825.706) * (-3830.663) (-3835.448) [-3817.872] (-3823.293) -- 0:10:23
462000 -- (-3834.652) (-3833.305) (-3836.060) [-3835.081] * (-3840.408) (-3839.063) (-3827.605) [-3820.510] -- 0:10:21
463000 -- (-3844.087) (-3845.221) [-3841.020] (-3836.835) * (-3827.414) (-3852.427) [-3833.795] (-3824.822) -- 0:10:20
464000 -- (-3857.505) (-3844.487) (-3843.373) [-3817.429] * (-3837.412) [-3826.730] (-3835.140) (-3832.970) -- 0:10:19
465000 -- (-3844.261) (-3849.553) (-3853.168) [-3823.661] * (-3839.412) (-3834.214) (-3857.703) [-3823.207] -- 0:10:17
Average standard deviation of split frequencies: 0.009876
466000 -- (-3831.801) (-3842.721) (-3849.176) [-3829.503] * (-3850.398) [-3829.979] (-3838.170) (-3827.211) -- 0:10:16
467000 -- (-3856.369) (-3841.115) (-3829.433) [-3836.714] * [-3825.902] (-3844.331) (-3819.262) (-3825.001) -- 0:10:16
468000 -- [-3841.825] (-3837.573) (-3840.572) (-3817.052) * (-3851.450) (-3830.648) [-3836.959] (-3829.141) -- 0:10:14
469000 -- [-3827.741] (-3840.272) (-3824.033) (-3827.428) * (-3854.645) (-3852.897) (-3828.572) [-3831.829] -- 0:10:13
470000 -- (-3821.525) (-3834.827) (-3831.430) [-3826.152] * (-3829.390) [-3823.784] (-3825.566) (-3839.359) -- 0:10:12
Average standard deviation of split frequencies: 0.011017
471000 -- [-3815.043] (-3814.278) (-3858.149) (-3850.564) * (-3848.033) (-3837.904) [-3833.302] (-3859.553) -- 0:10:10
472000 -- (-3822.674) [-3831.585] (-3846.166) (-3837.306) * (-3835.500) (-3825.022) [-3837.670] (-3868.699) -- 0:10:10
473000 -- [-3816.842] (-3829.981) (-3842.232) (-3845.043) * (-3829.632) (-3824.634) [-3832.246] (-3845.684) -- 0:10:09
474000 -- (-3847.175) [-3818.901] (-3829.241) (-3837.702) * [-3844.296] (-3828.795) (-3826.723) (-3831.287) -- 0:10:08
475000 -- (-3829.760) (-3838.196) (-3838.957) [-3838.271] * (-3842.490) (-3827.292) (-3841.950) [-3820.092] -- 0:10:06
Average standard deviation of split frequencies: 0.011519
476000 -- [-3836.975] (-3839.760) (-3824.962) (-3830.906) * (-3805.636) (-3825.864) [-3819.269] (-3825.648) -- 0:10:05
477000 -- (-3830.359) (-3841.496) (-3828.477) [-3825.436] * (-3849.549) [-3825.575] (-3832.588) (-3827.424) -- 0:10:04
478000 -- (-3825.969) [-3822.454] (-3848.459) (-3839.446) * (-3848.879) (-3829.493) [-3832.859] (-3837.767) -- 0:10:03
479000 -- (-3836.027) (-3842.444) [-3833.082] (-3837.487) * (-3835.239) [-3833.622] (-3831.060) (-3851.150) -- 0:10:02
480000 -- [-3826.769] (-3855.924) (-3832.500) (-3831.487) * (-3838.616) [-3832.584] (-3832.318) (-3841.366) -- 0:10:01
Average standard deviation of split frequencies: 0.012440
481000 -- [-3831.700] (-3830.959) (-3844.615) (-3838.273) * (-3856.501) (-3819.431) [-3819.972] (-3824.106) -- 0:09:59
482000 -- (-3830.793) (-3840.767) (-3836.282) [-3821.515] * (-3866.996) [-3834.429] (-3849.563) (-3832.057) -- 0:09:58
483000 -- (-3828.356) (-3833.617) (-3836.626) [-3847.598] * (-3838.838) [-3814.678] (-3838.355) (-3849.796) -- 0:09:57
484000 -- [-3824.156] (-3830.725) (-3829.458) (-3839.526) * (-3837.375) (-3835.640) (-3844.141) [-3830.775] -- 0:09:55
485000 -- (-3844.862) (-3835.838) [-3816.357] (-3827.533) * (-3833.442) [-3819.799] (-3833.416) (-3836.500) -- 0:09:54
Average standard deviation of split frequencies: 0.012839
486000 -- (-3842.385) (-3825.230) [-3824.510] (-3841.107) * [-3818.336] (-3830.935) (-3837.932) (-3844.641) -- 0:09:54
487000 -- [-3814.878] (-3836.690) (-3846.243) (-3833.978) * (-3828.985) [-3829.322] (-3829.319) (-3835.168) -- 0:09:53
488000 -- (-3838.770) (-3845.846) [-3831.628] (-3834.366) * [-3819.641] (-3837.589) (-3832.260) (-3829.530) -- 0:09:51
489000 -- (-3835.679) (-3850.113) (-3830.837) [-3827.808] * [-3831.862] (-3837.341) (-3825.712) (-3836.533) -- 0:09:50
490000 -- (-3849.492) [-3835.055] (-3840.651) (-3846.072) * (-3831.339) (-3842.270) [-3817.512] (-3825.220) -- 0:09:49
Average standard deviation of split frequencies: 0.014158
491000 -- [-3836.890] (-3857.615) (-3835.629) (-3841.455) * (-3818.937) [-3830.906] (-3838.538) (-3817.032) -- 0:09:47
492000 -- (-3854.165) (-3840.734) [-3842.747] (-3827.487) * (-3821.548) (-3844.723) (-3824.363) [-3826.775] -- 0:09:46
493000 -- (-3851.106) (-3838.163) [-3832.124] (-3836.263) * (-3832.576) (-3864.702) (-3833.772) [-3839.085] -- 0:09:46
494000 -- (-3840.844) (-3844.260) [-3824.802] (-3839.067) * (-3835.195) (-3844.511) (-3836.691) [-3822.055] -- 0:09:44
495000 -- (-3836.274) (-3814.681) (-3839.095) [-3841.585] * (-3843.544) (-3845.596) (-3844.501) [-3836.671] -- 0:09:43
Average standard deviation of split frequencies: 0.013731
496000 -- [-3835.895] (-3820.607) (-3846.985) (-3864.243) * (-3843.499) [-3820.778] (-3833.956) (-3823.926) -- 0:09:42
497000 -- (-3827.105) (-3841.351) (-3853.263) [-3831.030] * (-3845.801) (-3823.954) (-3853.187) [-3830.266] -- 0:09:40
498000 -- [-3826.556] (-3873.124) (-3833.536) (-3819.489) * (-3833.190) (-3828.762) (-3836.292) [-3821.581] -- 0:09:39
499000 -- (-3851.671) (-3843.123) (-3840.872) [-3813.416] * (-3848.309) (-3836.517) (-3847.494) [-3829.062] -- 0:09:38
500000 -- (-3837.392) (-3834.212) (-3849.552) [-3808.200] * (-3844.474) (-3821.585) [-3839.296] (-3851.720) -- 0:09:38
Average standard deviation of split frequencies: 0.014887
501000 -- (-3844.146) (-3824.006) (-3833.895) [-3822.177] * (-3832.943) (-3832.189) (-3853.605) [-3823.461] -- 0:09:36
502000 -- [-3818.486] (-3831.681) (-3849.717) (-3827.324) * (-3841.202) [-3832.603] (-3851.549) (-3826.086) -- 0:09:35
503000 -- (-3830.384) [-3823.401] (-3841.501) (-3874.951) * [-3832.922] (-3835.489) (-3828.941) (-3823.067) -- 0:09:34
504000 -- (-3831.444) (-3846.874) [-3826.981] (-3857.823) * (-3841.378) (-3849.664) (-3851.500) [-3826.903] -- 0:09:32
505000 -- [-3833.446] (-3853.473) (-3838.680) (-3837.401) * (-3827.130) (-3826.641) (-3839.964) [-3830.046] -- 0:09:31
Average standard deviation of split frequencies: 0.014856
506000 -- [-3821.411] (-3832.203) (-3842.442) (-3824.511) * (-3829.479) [-3827.490] (-3836.890) (-3825.370) -- 0:09:31
507000 -- (-3845.357) [-3834.288] (-3818.446) (-3838.860) * [-3829.355] (-3830.833) (-3829.054) (-3831.305) -- 0:09:29
508000 -- (-3840.911) (-3828.296) [-3836.113] (-3852.717) * [-3819.764] (-3832.632) (-3859.362) (-3842.260) -- 0:09:28
509000 -- (-3850.530) [-3819.633] (-3843.377) (-3841.936) * [-3823.498] (-3833.715) (-3855.461) (-3834.104) -- 0:09:27
510000 -- (-3851.777) (-3851.475) (-3821.527) [-3818.773] * (-3843.147) (-3836.997) [-3825.977] (-3826.322) -- 0:09:25
Average standard deviation of split frequencies: 0.014620
511000 -- (-3843.099) (-3842.458) (-3847.466) [-3825.634] * (-3829.451) (-3843.907) [-3822.140] (-3841.378) -- 0:09:24
512000 -- (-3851.547) (-3833.175) [-3828.860] (-3826.884) * [-3832.107] (-3832.037) (-3841.747) (-3836.447) -- 0:09:23
513000 -- (-3845.536) (-3844.929) [-3835.710] (-3832.723) * [-3816.781] (-3851.948) (-3841.347) (-3832.361) -- 0:09:22
514000 -- (-3855.604) [-3835.127] (-3832.402) (-3827.205) * [-3824.992] (-3869.603) (-3845.625) (-3851.792) -- 0:09:21
515000 -- [-3830.006] (-3824.221) (-3827.008) (-3843.178) * [-3831.674] (-3844.408) (-3861.795) (-3833.256) -- 0:09:20
Average standard deviation of split frequencies: 0.013605
516000 -- (-3825.938) (-3845.375) [-3824.349] (-3833.251) * [-3832.812] (-3842.524) (-3837.519) (-3832.150) -- 0:09:19
517000 -- (-3842.750) (-3822.145) (-3826.070) [-3825.093] * (-3837.298) [-3838.551] (-3851.206) (-3845.330) -- 0:09:17
518000 -- (-3833.830) (-3848.458) (-3842.114) [-3821.129] * (-3836.196) [-3830.668] (-3855.396) (-3848.242) -- 0:09:17
519000 -- [-3833.790] (-3832.938) (-3816.413) (-3831.878) * (-3847.105) (-3847.751) [-3840.749] (-3847.957) -- 0:09:16
520000 -- (-3847.797) (-3827.067) (-3828.219) [-3822.274] * [-3831.976] (-3847.458) (-3836.488) (-3849.089) -- 0:09:14
Average standard deviation of split frequencies: 0.012357
521000 -- [-3839.788] (-3836.905) (-3840.600) (-3826.690) * [-3830.302] (-3846.678) (-3832.132) (-3847.035) -- 0:09:13
522000 -- [-3821.539] (-3840.628) (-3838.283) (-3834.643) * (-3846.269) (-3839.991) (-3844.319) [-3849.802] -- 0:09:12
523000 -- [-3833.344] (-3835.660) (-3822.275) (-3860.315) * (-3842.876) (-3835.480) (-3848.580) [-3840.319] -- 0:09:10
524000 -- [-3819.864] (-3841.380) (-3839.266) (-3851.096) * (-3852.842) [-3829.128] (-3866.136) (-3835.497) -- 0:09:10
525000 -- [-3827.215] (-3847.414) (-3843.997) (-3850.064) * (-3832.626) [-3826.138] (-3837.382) (-3833.212) -- 0:09:09
Average standard deviation of split frequencies: 0.012959
526000 -- (-3848.039) [-3850.364] (-3858.164) (-3854.939) * (-3824.733) (-3822.915) [-3827.390] (-3839.117) -- 0:09:07
527000 -- (-3838.827) [-3820.876] (-3842.645) (-3844.048) * [-3816.740] (-3829.931) (-3843.602) (-3853.043) -- 0:09:06
528000 -- (-3828.627) (-3828.042) (-3834.661) [-3832.599] * (-3833.228) [-3825.885] (-3833.420) (-3851.191) -- 0:09:05
529000 -- (-3854.620) (-3836.273) [-3837.121] (-3848.137) * (-3825.773) (-3823.538) (-3835.480) [-3824.334] -- 0:09:04
530000 -- (-3834.362) (-3837.487) (-3845.323) [-3824.380] * (-3810.553) (-3849.518) (-3836.533) [-3814.860] -- 0:09:02
Average standard deviation of split frequencies: 0.012701
531000 -- (-3820.032) [-3830.752] (-3839.803) (-3841.257) * (-3822.232) (-3842.262) (-3845.741) [-3819.614] -- 0:09:02
532000 -- (-3840.747) [-3841.956] (-3826.712) (-3844.494) * (-3828.384) [-3832.994] (-3837.098) (-3828.092) -- 0:09:01
533000 -- (-3832.807) [-3833.164] (-3827.791) (-3845.919) * (-3851.447) [-3820.759] (-3838.376) (-3826.943) -- 0:08:59
534000 -- [-3830.038] (-3834.252) (-3819.396) (-3833.010) * (-3850.732) [-3826.481] (-3839.469) (-3827.284) -- 0:08:58
535000 -- [-3835.654] (-3841.633) (-3818.352) (-3869.056) * (-3832.090) (-3826.014) (-3844.844) [-3832.376] -- 0:08:57
Average standard deviation of split frequencies: 0.012955
536000 -- (-3845.673) (-3843.917) [-3811.961] (-3830.454) * (-3833.100) (-3838.724) (-3844.669) [-3830.510] -- 0:08:55
537000 -- (-3841.645) (-3840.432) [-3819.616] (-3831.657) * (-3845.340) (-3848.374) [-3826.706] (-3838.804) -- 0:08:54
538000 -- (-3853.376) [-3834.187] (-3816.220) (-3846.143) * (-3838.829) (-3839.133) [-3814.346] (-3842.579) -- 0:08:54
539000 -- [-3831.267] (-3829.982) (-3824.883) (-3846.895) * [-3828.153] (-3855.320) (-3842.944) (-3834.347) -- 0:08:52
540000 -- (-3818.387) (-3846.927) [-3813.259] (-3817.414) * (-3844.220) [-3831.716] (-3840.992) (-3831.008) -- 0:08:51
Average standard deviation of split frequencies: 0.011665
541000 -- (-3833.950) (-3845.018) (-3830.493) [-3823.266] * (-3837.718) (-3818.516) [-3835.669] (-3816.367) -- 0:08:50
542000 -- (-3833.230) (-3851.091) [-3816.506] (-3851.562) * (-3836.488) [-3821.930] (-3845.837) (-3828.990) -- 0:08:48
543000 -- (-3829.986) [-3837.902] (-3840.503) (-3834.457) * (-3836.981) (-3832.880) (-3837.869) [-3815.529] -- 0:08:48
544000 -- (-3843.610) (-3851.935) [-3822.747] (-3832.270) * (-3832.033) (-3824.487) [-3839.192] (-3840.304) -- 0:08:47
545000 -- (-3835.592) [-3838.697] (-3831.154) (-3834.886) * (-3845.639) [-3816.098] (-3830.617) (-3827.895) -- 0:08:45
Average standard deviation of split frequencies: 0.011667
546000 -- (-3846.569) (-3850.371) (-3837.824) [-3826.780] * (-3837.488) (-3834.530) [-3828.793] (-3830.763) -- 0:08:44
547000 -- [-3815.243] (-3833.715) (-3830.473) (-3834.155) * [-3813.945] (-3827.018) (-3839.029) (-3833.320) -- 0:08:43
548000 -- (-3823.918) [-3816.437] (-3838.942) (-3840.233) * [-3822.034] (-3840.448) (-3839.748) (-3848.166) -- 0:08:42
549000 -- (-3836.944) [-3828.339] (-3829.767) (-3831.887) * (-3814.200) [-3843.674] (-3835.555) (-3844.888) -- 0:08:41
550000 -- (-3810.234) [-3821.251] (-3843.423) (-3855.793) * [-3820.083] (-3840.313) (-3852.615) (-3835.473) -- 0:08:40
Average standard deviation of split frequencies: 0.012471
551000 -- [-3813.361] (-3820.983) (-3839.417) (-3850.264) * (-3827.456) (-3837.284) [-3849.146] (-3814.235) -- 0:08:39
552000 -- [-3829.115] (-3821.177) (-3826.696) (-3856.560) * (-3841.581) (-3828.957) (-3841.615) [-3829.946] -- 0:08:37
553000 -- [-3819.401] (-3840.824) (-3825.454) (-3847.236) * (-3836.402) (-3838.290) (-3833.920) [-3817.577] -- 0:08:36
554000 -- (-3855.545) (-3839.443) [-3809.572] (-3833.684) * (-3841.788) (-3833.190) (-3851.674) [-3827.712] -- 0:08:35
555000 -- (-3840.589) (-3828.922) [-3809.716] (-3837.554) * (-3825.663) [-3832.914] (-3837.680) (-3837.858) -- 0:08:34
Average standard deviation of split frequencies: 0.011641
556000 -- (-3834.352) [-3819.767] (-3831.385) (-3839.127) * [-3825.602] (-3825.907) (-3838.151) (-3827.377) -- 0:08:33
557000 -- (-3832.573) [-3830.703] (-3837.775) (-3853.859) * (-3854.388) (-3847.178) (-3831.034) [-3838.273] -- 0:08:32
558000 -- (-3852.675) [-3811.543] (-3834.613) (-3827.545) * [-3828.259] (-3852.398) (-3822.733) (-3849.717) -- 0:08:30
559000 -- (-3843.192) [-3839.292] (-3831.917) (-3821.805) * (-3834.217) (-3845.204) [-3830.241] (-3839.579) -- 0:08:29
560000 -- [-3824.913] (-3842.913) (-3835.612) (-3853.595) * [-3824.681] (-3865.163) (-3825.814) (-3827.272) -- 0:08:28
Average standard deviation of split frequencies: 0.012112
561000 -- (-3813.545) [-3847.486] (-3844.048) (-3838.646) * (-3828.454) (-3865.531) [-3822.100] (-3833.976) -- 0:08:27
562000 -- (-3841.757) (-3842.674) [-3822.026] (-3833.165) * (-3827.268) (-3845.513) [-3818.559] (-3847.975) -- 0:08:26
563000 -- (-3856.738) [-3827.925] (-3842.788) (-3838.412) * (-3830.768) (-3853.607) [-3832.189] (-3835.905) -- 0:08:25
564000 -- (-3839.192) [-3832.004] (-3837.220) (-3845.460) * (-3834.460) [-3814.428] (-3824.239) (-3844.862) -- 0:08:24
565000 -- (-3837.581) [-3818.334] (-3838.028) (-3834.412) * [-3827.114] (-3826.664) (-3847.285) (-3821.579) -- 0:08:22
Average standard deviation of split frequencies: 0.011975
566000 -- (-3837.256) [-3808.527] (-3849.032) (-3827.044) * (-3843.288) [-3831.299] (-3847.212) (-3822.743) -- 0:08:21
567000 -- (-3836.045) [-3814.897] (-3825.055) (-3837.623) * (-3840.348) [-3827.894] (-3852.792) (-3831.730) -- 0:08:20
568000 -- (-3818.277) (-3835.292) (-3839.776) [-3822.505] * (-3848.033) [-3833.469] (-3828.405) (-3851.761) -- 0:08:19
569000 -- [-3825.790] (-3832.434) (-3824.341) (-3833.569) * (-3833.020) (-3848.665) [-3827.499] (-3831.496) -- 0:08:18
570000 -- (-3831.802) (-3830.271) (-3827.625) [-3832.958] * [-3821.039] (-3833.014) (-3845.969) (-3832.557) -- 0:08:17
Average standard deviation of split frequencies: 0.010717
571000 -- [-3843.912] (-3869.760) (-3822.642) (-3832.444) * [-3815.574] (-3845.524) (-3841.584) (-3841.313) -- 0:08:15
572000 -- [-3821.131] (-3854.837) (-3833.173) (-3834.156) * [-3809.558] (-3846.382) (-3842.640) (-3837.594) -- 0:08:14
573000 -- [-3826.857] (-3850.288) (-3823.541) (-3835.415) * (-3827.277) (-3832.100) (-3840.105) [-3828.848] -- 0:08:13
574000 -- [-3820.850] (-3838.716) (-3840.995) (-3843.094) * (-3840.158) (-3833.199) (-3850.170) [-3825.922] -- 0:08:12
575000 -- [-3817.241] (-3838.651) (-3833.374) (-3839.885) * (-3841.779) (-3840.483) [-3848.638] (-3827.776) -- 0:08:11
Average standard deviation of split frequencies: 0.009498
576000 -- (-3836.451) [-3834.725] (-3836.439) (-3854.486) * [-3822.314] (-3825.222) (-3847.892) (-3822.045) -- 0:08:10
577000 -- (-3855.473) (-3825.862) [-3839.510] (-3845.554) * (-3846.547) (-3838.428) (-3844.941) [-3833.870] -- 0:08:08
578000 -- (-3832.974) [-3821.385] (-3854.792) (-3849.773) * (-3834.278) [-3837.295] (-3826.184) (-3829.718) -- 0:08:07
579000 -- (-3836.349) (-3836.783) (-3866.612) [-3839.413] * (-3831.156) [-3814.839] (-3831.175) (-3831.823) -- 0:08:06
580000 -- (-3820.295) [-3823.889] (-3849.842) (-3839.399) * (-3853.355) [-3823.727] (-3848.282) (-3832.690) -- 0:08:05
Average standard deviation of split frequencies: 0.009062
581000 -- (-3833.271) (-3835.216) (-3837.379) [-3833.283] * [-3828.527] (-3816.978) (-3840.352) (-3837.144) -- 0:08:04
582000 -- (-3836.514) (-3829.809) (-3839.379) [-3844.482] * [-3818.781] (-3836.057) (-3826.305) (-3842.828) -- 0:08:03
583000 -- (-3840.725) (-3826.035) [-3816.119] (-3836.438) * [-3815.472] (-3848.327) (-3850.770) (-3864.435) -- 0:08:02
584000 -- (-3828.282) [-3819.412] (-3818.480) (-3837.271) * (-3820.384) (-3825.135) [-3834.749] (-3838.300) -- 0:08:00
585000 -- (-3846.762) (-3828.772) [-3825.480] (-3848.362) * (-3835.470) [-3826.873] (-3847.584) (-3839.655) -- 0:07:59
Average standard deviation of split frequencies: 0.009357
586000 -- (-3829.277) (-3820.276) [-3834.846] (-3854.655) * (-3826.463) [-3835.528] (-3851.210) (-3847.688) -- 0:07:58
587000 -- (-3838.866) [-3824.015] (-3842.295) (-3852.695) * (-3858.175) (-3851.136) [-3829.814] (-3857.654) -- 0:07:57
588000 -- (-3834.509) (-3823.712) (-3845.016) [-3828.314] * (-3831.576) (-3860.388) (-3833.125) [-3827.576] -- 0:07:56
589000 -- (-3835.976) [-3827.692] (-3827.351) (-3844.542) * (-3816.895) (-3829.383) (-3836.748) [-3826.268] -- 0:07:55
590000 -- (-3854.523) (-3821.740) [-3819.940] (-3837.563) * (-3845.597) [-3823.468] (-3837.688) (-3846.556) -- 0:07:53
Average standard deviation of split frequencies: 0.008653
591000 -- (-3825.863) [-3825.212] (-3831.773) (-3831.367) * (-3819.293) (-3834.379) [-3824.011] (-3842.338) -- 0:07:52
592000 -- (-3832.932) (-3842.870) [-3822.038] (-3835.002) * [-3837.536] (-3844.192) (-3831.805) (-3852.481) -- 0:07:51
593000 -- (-3844.982) (-3848.937) [-3828.293] (-3839.134) * [-3827.132] (-3853.486) (-3828.770) (-3850.139) -- 0:07:50
594000 -- (-3843.083) (-3853.596) (-3833.854) [-3838.903] * (-3839.654) (-3851.069) [-3827.262] (-3848.401) -- 0:07:49
595000 -- (-3828.352) (-3850.176) (-3853.333) [-3842.922] * (-3827.663) (-3836.179) [-3823.454] (-3853.404) -- 0:07:48
Average standard deviation of split frequencies: 0.008222
596000 -- (-3831.345) [-3822.429] (-3841.656) (-3834.212) * (-3851.171) (-3825.591) [-3822.672] (-3826.374) -- 0:07:47
597000 -- (-3843.482) (-3844.000) (-3842.426) [-3823.446] * (-3851.432) (-3829.625) (-3824.833) [-3823.036] -- 0:07:45
598000 -- (-3836.390) (-3837.597) (-3840.189) [-3831.341] * (-3838.375) (-3837.765) [-3819.314] (-3825.645) -- 0:07:44
599000 -- [-3814.635] (-3826.882) (-3830.870) (-3830.045) * (-3833.307) (-3854.424) [-3827.670] (-3833.877) -- 0:07:43
600000 -- (-3812.744) [-3819.996] (-3838.752) (-3842.611) * (-3845.063) (-3841.419) (-3833.723) [-3832.623] -- 0:07:42
Average standard deviation of split frequencies: 0.008336
601000 -- (-3826.715) (-3854.076) [-3818.073] (-3844.359) * (-3834.509) [-3822.630] (-3831.965) (-3837.162) -- 0:07:41
602000 -- (-3820.609) [-3822.868] (-3847.718) (-3845.679) * (-3833.442) (-3853.871) [-3822.277] (-3827.129) -- 0:07:40
603000 -- (-3828.496) (-3848.552) (-3841.851) [-3834.172] * [-3817.004] (-3841.690) (-3828.451) (-3839.229) -- 0:07:38
604000 -- [-3822.298] (-3843.511) (-3837.086) (-3827.183) * (-3831.383) (-3835.439) [-3820.711] (-3853.074) -- 0:07:37
605000 -- [-3833.598] (-3821.152) (-3842.546) (-3829.786) * (-3832.155) (-3841.097) (-3833.745) [-3824.589] -- 0:07:36
Average standard deviation of split frequencies: 0.009069
606000 -- (-3847.670) [-3822.233] (-3840.130) (-3837.949) * (-3844.267) [-3832.442] (-3825.449) (-3829.269) -- 0:07:35
607000 -- (-3829.815) [-3832.958] (-3835.783) (-3843.131) * (-3831.153) (-3851.682) [-3820.897] (-3826.796) -- 0:07:34
608000 -- (-3822.872) (-3829.691) [-3835.455] (-3849.214) * (-3832.008) (-3864.228) [-3832.303] (-3834.994) -- 0:07:33
609000 -- [-3846.799] (-3825.679) (-3836.889) (-3837.514) * (-3831.590) (-3834.154) [-3830.289] (-3846.499) -- 0:07:31
610000 -- [-3821.478] (-3835.425) (-3824.774) (-3857.834) * (-3826.556) (-3853.017) (-3834.345) [-3836.462] -- 0:07:30
Average standard deviation of split frequencies: 0.009223
611000 -- (-3843.198) (-3844.690) [-3820.914] (-3840.824) * [-3829.189] (-3839.581) (-3833.861) (-3842.037) -- 0:07:29
612000 -- [-3838.416] (-3840.642) (-3841.269) (-3828.325) * [-3830.111] (-3829.575) (-3862.614) (-3839.665) -- 0:07:28
613000 -- (-3835.124) (-3854.166) (-3849.190) [-3814.596] * (-3831.584) [-3835.980] (-3867.276) (-3840.686) -- 0:07:27
614000 -- [-3820.088] (-3828.338) (-3816.454) (-3839.194) * (-3829.618) (-3856.141) (-3822.827) [-3828.710] -- 0:07:26
615000 -- (-3852.402) (-3848.412) (-3829.184) [-3826.148] * (-3850.465) (-3847.112) [-3822.242] (-3834.680) -- 0:07:25
Average standard deviation of split frequencies: 0.009266
616000 -- (-3833.350) (-3835.815) [-3821.584] (-3836.676) * (-3837.985) (-3835.884) [-3831.040] (-3846.904) -- 0:07:23
617000 -- (-3828.873) (-3824.647) [-3837.047] (-3827.257) * (-3848.636) (-3824.296) (-3816.687) [-3807.320] -- 0:07:22
618000 -- (-3825.203) [-3833.913] (-3840.655) (-3836.617) * (-3847.113) (-3835.636) [-3833.233] (-3827.661) -- 0:07:21
619000 -- (-3838.854) (-3852.370) [-3826.809] (-3817.831) * (-3822.367) (-3834.756) (-3855.159) [-3825.702] -- 0:07:20
620000 -- [-3826.685] (-3840.561) (-3823.281) (-3819.774) * (-3829.630) [-3833.891] (-3852.272) (-3827.632) -- 0:07:19
Average standard deviation of split frequencies: 0.009176
621000 -- (-3835.080) [-3818.984] (-3830.633) (-3847.460) * (-3829.027) [-3819.382] (-3838.310) (-3828.467) -- 0:07:18
622000 -- (-3835.451) [-3822.416] (-3828.152) (-3824.433) * (-3841.614) (-3834.297) [-3838.035] (-3832.305) -- 0:07:16
623000 -- [-3825.223] (-3848.525) (-3835.946) (-3848.794) * (-3854.828) [-3830.802] (-3847.200) (-3844.799) -- 0:07:15
624000 -- (-3823.013) [-3828.972] (-3865.694) (-3849.344) * (-3832.906) [-3829.816] (-3837.990) (-3832.689) -- 0:07:14
625000 -- [-3820.646] (-3826.640) (-3838.142) (-3828.145) * [-3844.752] (-3836.599) (-3831.679) (-3850.703) -- 0:07:13
Average standard deviation of split frequencies: 0.008487
626000 -- (-3832.229) (-3837.902) [-3826.227] (-3815.624) * (-3837.773) (-3842.555) [-3833.026] (-3827.899) -- 0:07:12
627000 -- (-3849.623) (-3847.172) (-3841.905) [-3825.933] * (-3834.753) (-3860.720) [-3833.305] (-3841.900) -- 0:07:11
628000 -- (-3842.818) (-3839.115) [-3837.879] (-3842.990) * (-3823.955) (-3838.633) (-3839.759) [-3827.009] -- 0:07:10
629000 -- [-3847.207] (-3842.534) (-3848.846) (-3842.269) * (-3829.377) [-3838.834] (-3831.878) (-3834.412) -- 0:07:08
630000 -- [-3820.638] (-3816.748) (-3843.074) (-3850.907) * [-3819.175] (-3829.985) (-3828.837) (-3845.419) -- 0:07:07
Average standard deviation of split frequencies: 0.008343
631000 -- [-3813.675] (-3829.296) (-3848.651) (-3834.814) * (-3821.163) (-3830.211) [-3823.886] (-3842.356) -- 0:07:06
632000 -- (-3847.007) [-3839.774] (-3834.288) (-3860.645) * [-3828.331] (-3822.773) (-3846.628) (-3831.471) -- 0:07:05
633000 -- (-3834.730) (-3816.404) [-3838.605] (-3836.173) * [-3828.449] (-3831.975) (-3854.049) (-3853.678) -- 0:07:04
634000 -- (-3853.154) [-3812.127] (-3833.142) (-3825.025) * [-3830.549] (-3851.277) (-3844.854) (-3847.511) -- 0:07:03
635000 -- (-3848.439) [-3830.858] (-3847.152) (-3843.682) * (-3831.799) [-3826.161] (-3844.557) (-3835.354) -- 0:07:01
Average standard deviation of split frequencies: 0.008474
636000 -- (-3845.020) [-3827.808] (-3823.899) (-3823.959) * [-3820.375] (-3840.050) (-3836.367) (-3836.951) -- 0:07:00
637000 -- (-3862.612) (-3836.601) [-3824.297] (-3824.390) * (-3829.715) (-3846.262) [-3825.829] (-3851.169) -- 0:06:59
638000 -- (-3854.847) (-3850.041) [-3824.600] (-3825.558) * [-3835.239] (-3830.818) (-3828.119) (-3838.748) -- 0:06:58
639000 -- (-3847.698) [-3830.814] (-3849.117) (-3819.834) * (-3832.714) (-3830.407) [-3836.152] (-3852.853) -- 0:06:56
640000 -- (-3820.716) (-3852.368) (-3851.615) [-3824.458] * [-3816.224] (-3846.849) (-3838.168) (-3857.295) -- 0:06:55
Average standard deviation of split frequencies: 0.008551
641000 -- (-3859.893) (-3823.589) (-3847.197) [-3826.715] * (-3851.052) (-3841.569) [-3836.541] (-3861.180) -- 0:06:55
642000 -- (-3851.321) (-3838.034) [-3827.559] (-3827.027) * (-3866.423) (-3834.182) (-3846.425) [-3836.183] -- 0:06:53
643000 -- (-3839.568) [-3839.314] (-3837.027) (-3830.302) * (-3847.508) [-3816.714] (-3858.106) (-3843.663) -- 0:06:52
644000 -- (-3844.674) (-3819.387) (-3834.781) [-3823.032] * (-3839.157) (-3851.221) (-3837.793) [-3841.133] -- 0:06:51
645000 -- (-3826.812) (-3846.651) (-3845.388) [-3819.845] * (-3859.106) (-3836.860) (-3847.860) [-3839.760] -- 0:06:50
Average standard deviation of split frequencies: 0.008145
646000 -- (-3825.464) (-3823.173) [-3836.329] (-3817.203) * (-3831.795) [-3829.373] (-3834.282) (-3852.837) -- 0:06:48
647000 -- (-3834.025) (-3833.420) [-3839.284] (-3828.964) * (-3854.506) [-3821.887] (-3823.048) (-3834.983) -- 0:06:47
648000 -- (-3837.179) (-3821.686) [-3824.695] (-3851.236) * [-3834.645] (-3849.085) (-3840.444) (-3838.494) -- 0:06:46
649000 -- (-3832.706) [-3815.958] (-3816.078) (-3843.932) * (-3836.739) [-3834.023] (-3851.851) (-3827.699) -- 0:06:45
650000 -- (-3832.374) [-3819.450] (-3847.883) (-3841.917) * (-3826.866) [-3828.042] (-3855.390) (-3847.391) -- 0:06:44
Average standard deviation of split frequencies: 0.007637
651000 -- (-3839.046) (-3831.576) [-3838.684] (-3847.644) * (-3830.850) [-3844.141] (-3847.965) (-3838.534) -- 0:06:43
652000 -- [-3818.251] (-3831.892) (-3836.682) (-3828.497) * (-3843.508) (-3830.628) [-3846.723] (-3835.111) -- 0:06:41
653000 -- (-3825.633) [-3821.544] (-3845.041) (-3838.456) * (-3832.714) [-3827.440] (-3861.336) (-3822.245) -- 0:06:40
654000 -- (-3827.260) [-3834.204] (-3845.695) (-3829.749) * (-3835.697) [-3835.432] (-3857.314) (-3830.425) -- 0:06:39
655000 -- (-3827.739) (-3832.589) [-3830.929] (-3822.312) * [-3822.585] (-3830.422) (-3821.151) (-3842.022) -- 0:06:38
Average standard deviation of split frequencies: 0.007167
656000 -- (-3822.751) (-3840.384) (-3832.982) [-3824.702] * (-3830.172) [-3817.751] (-3839.254) (-3832.182) -- 0:06:37
657000 -- (-3839.001) (-3829.638) (-3827.871) [-3834.221] * [-3816.152] (-3848.277) (-3831.986) (-3841.463) -- 0:06:36
658000 -- [-3826.293] (-3840.239) (-3830.220) (-3839.414) * [-3813.235] (-3828.202) (-3829.543) (-3850.840) -- 0:06:35
659000 -- (-3837.790) (-3829.977) [-3823.386] (-3843.023) * [-3821.418] (-3837.140) (-3829.758) (-3857.433) -- 0:06:33
660000 -- [-3827.230] (-3822.273) (-3838.079) (-3849.546) * (-3826.830) [-3834.579] (-3844.578) (-3851.902) -- 0:06:33
Average standard deviation of split frequencies: 0.007135
661000 -- [-3831.277] (-3832.938) (-3841.473) (-3845.482) * (-3844.796) [-3834.852] (-3827.292) (-3830.019) -- 0:06:31
662000 -- (-3824.331) (-3817.217) [-3838.102] (-3848.824) * (-3825.961) (-3844.726) (-3829.791) [-3830.066] -- 0:06:30
663000 -- (-3836.356) (-3818.486) [-3820.699] (-3837.714) * (-3830.251) (-3837.826) (-3838.002) [-3825.048] -- 0:06:29
664000 -- [-3822.072] (-3829.488) (-3840.632) (-3838.046) * (-3828.733) (-3823.313) (-3835.878) [-3814.156] -- 0:06:28
665000 -- (-3835.068) [-3826.767] (-3832.118) (-3845.187) * [-3834.986] (-3829.506) (-3824.797) (-3838.884) -- 0:06:27
Average standard deviation of split frequencies: 0.007041
666000 -- (-3844.967) (-3834.209) [-3831.509] (-3844.122) * (-3845.214) (-3824.561) (-3842.151) [-3810.569] -- 0:06:26
667000 -- (-3837.294) [-3829.945] (-3824.512) (-3827.301) * (-3836.798) [-3818.251] (-3833.767) (-3827.759) -- 0:06:24
668000 -- [-3837.783] (-3830.003) (-3841.761) (-3853.061) * (-3834.332) (-3824.768) (-3852.513) [-3823.750] -- 0:06:23
669000 -- (-3836.674) (-3855.180) [-3834.870] (-3837.920) * [-3817.423] (-3823.931) (-3841.101) (-3817.685) -- 0:06:22
670000 -- (-3827.619) (-3845.228) (-3828.168) [-3834.927] * [-3848.420] (-3837.952) (-3818.184) (-3821.983) -- 0:06:21
Average standard deviation of split frequencies: 0.007639
671000 -- (-3826.191) [-3838.297] (-3847.932) (-3856.808) * (-3851.724) (-3840.426) [-3828.849] (-3823.564) -- 0:06:20
672000 -- (-3819.674) [-3823.156] (-3847.296) (-3844.261) * (-3840.551) (-3840.472) (-3835.118) [-3827.293] -- 0:06:19
673000 -- (-3827.313) (-3825.563) (-3831.452) [-3820.354] * (-3847.350) [-3824.102] (-3848.621) (-3825.361) -- 0:06:18
674000 -- [-3823.438] (-3841.875) (-3828.469) (-3833.066) * [-3843.359] (-3834.501) (-3839.684) (-3833.899) -- 0:06:16
675000 -- [-3820.776] (-3848.334) (-3831.121) (-3836.084) * (-3828.272) [-3825.677] (-3827.939) (-3840.760) -- 0:06:16
Average standard deviation of split frequencies: 0.007873
676000 -- (-3826.402) (-3847.898) (-3839.125) [-3830.711] * (-3827.833) (-3814.513) (-3832.744) [-3823.491] -- 0:06:14
677000 -- (-3828.664) (-3854.004) [-3843.210] (-3852.536) * (-3831.806) [-3816.683] (-3842.315) (-3829.525) -- 0:06:13
678000 -- (-3841.255) (-3841.599) [-3832.773] (-3829.695) * (-3847.941) (-3831.168) [-3820.788] (-3833.978) -- 0:06:12
679000 -- (-3842.968) (-3854.325) [-3835.908] (-3829.658) * (-3846.758) (-3845.619) [-3824.580] (-3837.504) -- 0:06:11
680000 -- (-3841.576) [-3823.641] (-3828.514) (-3840.278) * (-3816.538) (-3833.718) [-3824.593] (-3834.944) -- 0:06:10
Average standard deviation of split frequencies: 0.008629
681000 -- [-3831.321] (-3818.545) (-3852.226) (-3834.321) * (-3839.861) [-3819.378] (-3836.479) (-3823.618) -- 0:06:09
682000 -- (-3826.677) (-3846.679) [-3836.325] (-3849.973) * (-3840.458) [-3818.596] (-3830.513) (-3840.890) -- 0:06:07
683000 -- (-3831.211) (-3843.110) [-3827.210] (-3859.900) * [-3829.140] (-3839.143) (-3821.187) (-3845.817) -- 0:06:06
684000 -- (-3835.530) (-3855.293) [-3831.277] (-3841.462) * [-3818.568] (-3830.643) (-3830.030) (-3826.578) -- 0:06:05
685000 -- [-3822.561] (-3841.467) (-3816.441) (-3834.634) * (-3848.486) (-3835.085) [-3835.968] (-3819.034) -- 0:06:04
Average standard deviation of split frequencies: 0.009241
686000 -- (-3830.926) (-3842.573) (-3853.407) [-3831.644] * (-3831.378) [-3835.980] (-3835.588) (-3821.579) -- 0:06:03
687000 -- (-3838.631) (-3832.409) [-3826.434] (-3834.928) * (-3830.814) [-3843.104] (-3838.448) (-3805.525) -- 0:06:02
688000 -- (-3833.780) (-3847.983) [-3822.503] (-3830.461) * [-3819.487] (-3833.278) (-3845.175) (-3831.882) -- 0:06:00
689000 -- (-3837.217) (-3844.555) [-3821.466] (-3821.084) * (-3815.240) [-3822.949] (-3826.291) (-3844.691) -- 0:05:59
690000 -- (-3836.157) (-3822.285) [-3836.538] (-3848.993) * (-3831.087) (-3834.563) [-3824.133] (-3830.618) -- 0:05:58
Average standard deviation of split frequencies: 0.010533
691000 -- (-3847.837) [-3817.049] (-3833.403) (-3851.624) * [-3836.324] (-3855.444) (-3821.909) (-3850.862) -- 0:05:57
692000 -- (-3835.865) (-3830.327) (-3824.540) [-3831.980] * (-3827.388) (-3840.975) (-3847.414) [-3825.303] -- 0:05:56
693000 -- [-3846.533] (-3810.664) (-3844.910) (-3832.368) * (-3826.739) (-3834.057) [-3840.462] (-3839.144) -- 0:05:55
694000 -- (-3854.877) (-3833.452) (-3854.213) [-3834.600] * (-3842.463) [-3837.615] (-3837.140) (-3836.953) -- 0:05:54
695000 -- (-3838.677) [-3832.361] (-3853.324) (-3843.088) * [-3843.843] (-3830.537) (-3837.563) (-3815.242) -- 0:05:52
Average standard deviation of split frequencies: 0.010837
696000 -- (-3850.070) (-3839.047) (-3838.400) [-3825.109] * (-3852.268) [-3840.389] (-3851.041) (-3830.552) -- 0:05:51
697000 -- (-3839.090) (-3839.242) [-3842.308] (-3835.913) * [-3810.191] (-3826.991) (-3826.837) (-3823.615) -- 0:05:50
698000 -- (-3832.425) [-3826.132] (-3841.995) (-3843.545) * (-3829.850) (-3829.757) (-3836.714) [-3821.735] -- 0:05:49
699000 -- [-3832.457] (-3833.035) (-3833.327) (-3828.353) * (-3843.046) [-3832.506] (-3831.830) (-3826.972) -- 0:05:48
700000 -- [-3843.403] (-3838.717) (-3843.420) (-3838.681) * (-3860.199) [-3844.873] (-3821.912) (-3824.438) -- 0:05:47
Average standard deviation of split frequencies: 0.010928
701000 -- [-3821.932] (-3848.107) (-3850.144) (-3843.925) * (-3836.939) (-3848.007) (-3835.900) [-3822.975] -- 0:05:45
702000 -- (-3825.912) (-3832.027) (-3847.514) [-3832.791] * [-3827.844] (-3853.042) (-3829.088) (-3836.838) -- 0:05:44
703000 -- [-3825.794] (-3836.785) (-3833.401) (-3846.437) * [-3826.241] (-3867.108) (-3823.228) (-3845.650) -- 0:05:43
704000 -- (-3843.528) [-3824.842] (-3837.855) (-3832.995) * [-3831.778] (-3845.981) (-3830.898) (-3844.605) -- 0:05:42
705000 -- (-3847.538) [-3818.521] (-3837.470) (-3826.584) * (-3832.272) (-3842.823) [-3829.982] (-3820.407) -- 0:05:41
Average standard deviation of split frequencies: 0.011369
706000 -- (-3833.717) (-3836.051) [-3822.841] (-3842.144) * [-3823.724] (-3832.990) (-3845.669) (-3837.305) -- 0:05:39
707000 -- (-3826.511) (-3847.023) [-3826.075] (-3848.520) * (-3834.418) [-3851.813] (-3832.870) (-3836.650) -- 0:05:39
708000 -- (-3855.025) (-3832.485) [-3827.752] (-3848.693) * (-3830.237) (-3844.341) (-3857.548) [-3816.591] -- 0:05:37
709000 -- [-3836.074] (-3835.353) (-3833.157) (-3828.981) * [-3816.067] (-3820.644) (-3836.936) (-3825.086) -- 0:05:36
710000 -- (-3854.153) (-3843.151) [-3818.263] (-3841.023) * [-3825.867] (-3844.677) (-3817.992) (-3823.106) -- 0:05:35
Average standard deviation of split frequencies: 0.011626
711000 -- (-3830.843) [-3832.941] (-3835.329) (-3862.263) * (-3831.577) [-3833.356] (-3826.816) (-3816.823) -- 0:05:34
712000 -- (-3833.175) (-3830.032) (-3858.183) [-3826.508] * (-3829.982) (-3839.290) (-3850.731) [-3833.563] -- 0:05:32
713000 -- [-3832.419] (-3841.146) (-3830.423) (-3834.428) * (-3851.996) (-3837.269) (-3850.768) [-3834.879] -- 0:05:32
714000 -- (-3843.710) (-3846.802) [-3832.435] (-3838.553) * (-3836.991) [-3829.466] (-3858.092) (-3829.534) -- 0:05:30
715000 -- (-3834.539) [-3815.961] (-3853.690) (-3843.488) * [-3825.846] (-3837.942) (-3855.809) (-3836.138) -- 0:05:29
Average standard deviation of split frequencies: 0.011348
716000 -- [-3838.202] (-3821.372) (-3846.812) (-3841.965) * (-3826.708) [-3810.683] (-3867.606) (-3828.914) -- 0:05:28
717000 -- [-3844.239] (-3831.478) (-3843.088) (-3834.596) * (-3847.578) [-3821.004] (-3826.055) (-3826.701) -- 0:05:27
718000 -- (-3848.870) (-3831.054) (-3832.241) [-3823.862] * (-3856.007) (-3840.458) [-3827.464] (-3850.653) -- 0:05:25
719000 -- (-3843.922) (-3841.836) (-3831.136) [-3833.509] * [-3828.167] (-3844.226) (-3835.105) (-3848.437) -- 0:05:24
720000 -- (-3852.931) [-3822.566] (-3831.402) (-3828.396) * [-3824.768] (-3836.086) (-3839.640) (-3817.902) -- 0:05:23
Average standard deviation of split frequencies: 0.011550
721000 -- (-3841.511) [-3828.951] (-3838.256) (-3843.414) * (-3826.617) [-3834.131] (-3842.332) (-3821.383) -- 0:05:22
722000 -- (-3839.662) [-3824.520] (-3841.447) (-3853.032) * (-3824.190) (-3849.362) (-3827.588) [-3827.429] -- 0:05:21
723000 -- (-3852.714) (-3825.129) (-3841.878) [-3835.544] * (-3844.094) (-3840.642) (-3846.858) [-3820.048] -- 0:05:20
724000 -- (-3863.508) (-3838.137) (-3825.019) [-3814.879] * (-3852.565) [-3828.948] (-3846.339) (-3831.868) -- 0:05:19
725000 -- (-3847.507) (-3832.548) [-3820.011] (-3826.008) * (-3831.879) [-3817.538] (-3847.782) (-3838.524) -- 0:05:17
Average standard deviation of split frequencies: 0.011363
726000 -- [-3821.106] (-3830.319) (-3827.846) (-3821.742) * (-3818.577) [-3822.586] (-3823.435) (-3852.700) -- 0:05:16
727000 -- (-3832.834) (-3850.343) [-3828.728] (-3834.817) * (-3842.182) [-3842.302] (-3834.254) (-3846.372) -- 0:05:15
728000 -- (-3829.217) (-3884.334) (-3835.999) [-3837.745] * (-3840.655) (-3819.865) (-3834.406) [-3842.528] -- 0:05:14
729000 -- (-3839.450) (-3861.093) (-3829.295) [-3822.028] * (-3843.932) (-3833.661) (-3832.109) [-3820.409] -- 0:05:13
730000 -- (-3828.958) [-3842.863] (-3820.579) (-3829.196) * (-3845.616) (-3819.076) (-3838.274) [-3817.697] -- 0:05:12
Average standard deviation of split frequencies: 0.011460
731000 -- (-3843.020) [-3819.810] (-3818.083) (-3844.388) * (-3832.428) [-3831.284] (-3853.478) (-3827.409) -- 0:05:10
732000 -- [-3837.887] (-3832.309) (-3833.029) (-3848.437) * (-3842.267) [-3842.329] (-3839.788) (-3826.000) -- 0:05:09
733000 -- (-3828.181) (-3855.679) [-3822.566] (-3844.979) * (-3830.067) (-3836.677) (-3856.058) [-3824.015] -- 0:05:08
734000 -- [-3826.702] (-3826.634) (-3824.854) (-3843.256) * (-3837.632) [-3839.747] (-3831.351) (-3825.589) -- 0:05:07
735000 -- (-3821.399) (-3824.105) [-3838.787] (-3840.055) * (-3845.315) (-3837.359) [-3828.720] (-3832.046) -- 0:05:06
Average standard deviation of split frequencies: 0.011192
736000 -- (-3827.306) (-3839.245) (-3852.036) [-3835.620] * (-3850.219) (-3848.410) (-3817.310) [-3819.956] -- 0:05:05
737000 -- (-3848.125) (-3838.496) [-3828.748] (-3833.580) * (-3848.370) (-3826.355) [-3819.144] (-3824.789) -- 0:05:04
738000 -- (-3825.366) (-3833.828) (-3839.382) [-3824.756] * (-3863.457) [-3837.111] (-3841.734) (-3830.263) -- 0:05:02
739000 -- [-3828.965] (-3827.804) (-3821.640) (-3843.432) * (-3843.015) (-3826.872) (-3841.757) [-3826.651] -- 0:05:01
740000 -- (-3843.336) (-3823.889) [-3828.119] (-3846.092) * (-3830.549) (-3835.655) (-3857.911) [-3822.498] -- 0:05:00
Average standard deviation of split frequencies: 0.011239
741000 -- [-3840.394] (-3830.064) (-3826.014) (-3837.948) * (-3838.392) (-3817.757) (-3830.226) [-3833.281] -- 0:04:59
742000 -- [-3828.044] (-3847.321) (-3826.914) (-3827.053) * (-3836.394) (-3837.398) [-3823.353] (-3823.945) -- 0:04:58
743000 -- [-3822.007] (-3829.370) (-3837.966) (-3829.011) * (-3860.589) (-3833.049) [-3824.896] (-3831.645) -- 0:04:57
744000 -- [-3828.346] (-3834.134) (-3845.312) (-3833.516) * (-3834.254) (-3819.990) [-3828.790] (-3841.595) -- 0:04:55
745000 -- [-3824.997] (-3831.600) (-3845.312) (-3834.980) * [-3831.935] (-3834.114) (-3813.445) (-3831.107) -- 0:04:54
Average standard deviation of split frequencies: 0.011574
746000 -- (-3856.634) (-3841.310) (-3865.479) [-3836.498] * (-3834.625) (-3836.267) [-3822.124] (-3852.118) -- 0:04:53
747000 -- (-3838.649) [-3832.487] (-3836.148) (-3841.035) * (-3824.342) (-3831.356) [-3831.441] (-3867.850) -- 0:04:52
748000 -- (-3828.497) (-3830.629) [-3839.295] (-3832.350) * (-3825.254) (-3807.001) [-3816.264] (-3873.699) -- 0:04:51
749000 -- (-3830.712) [-3828.364] (-3845.171) (-3833.775) * (-3839.606) (-3836.153) [-3822.934] (-3852.435) -- 0:04:50
750000 -- (-3848.282) (-3836.732) (-3850.231) [-3814.647] * (-3839.277) (-3843.930) [-3811.275] (-3823.216) -- 0:04:49
Average standard deviation of split frequencies: 0.013069
751000 -- (-3843.997) (-3850.439) (-3834.175) [-3815.500] * (-3825.005) (-3846.773) [-3826.620] (-3844.463) -- 0:04:47
752000 -- (-3840.353) (-3847.621) (-3834.810) [-3817.147] * [-3816.958] (-3852.920) (-3838.961) (-3840.324) -- 0:04:46
753000 -- (-3841.768) (-3834.416) (-3843.807) [-3831.191] * (-3850.447) (-3831.777) (-3842.425) [-3825.489] -- 0:04:45
754000 -- (-3847.599) (-3841.255) (-3838.801) [-3830.227] * [-3829.020] (-3826.579) (-3837.842) (-3848.594) -- 0:04:44
755000 -- [-3833.615] (-3826.261) (-3851.417) (-3837.479) * (-3856.753) (-3817.126) (-3826.613) [-3828.014] -- 0:04:43
Average standard deviation of split frequencies: 0.014005
756000 -- (-3854.210) (-3835.848) [-3838.317] (-3847.255) * (-3859.003) (-3827.825) [-3820.152] (-3845.521) -- 0:04:42
757000 -- (-3849.128) (-3823.109) [-3812.762] (-3833.198) * (-3838.601) [-3836.148] (-3834.879) (-3842.839) -- 0:04:40
758000 -- (-3850.268) (-3828.501) [-3830.885] (-3821.842) * (-3846.510) (-3845.830) (-3828.120) [-3829.156] -- 0:04:39
759000 -- (-3858.498) [-3823.172] (-3832.444) (-3853.837) * (-3827.708) (-3842.554) (-3831.592) [-3827.506] -- 0:04:38
760000 -- [-3836.812] (-3834.490) (-3825.090) (-3843.670) * (-3826.303) (-3841.019) (-3829.950) [-3831.777] -- 0:04:37
Average standard deviation of split frequencies: 0.015528
761000 -- [-3828.908] (-3834.217) (-3829.884) (-3836.993) * [-3813.896] (-3852.805) (-3831.062) (-3832.970) -- 0:04:36
762000 -- (-3826.912) (-3834.181) (-3826.805) [-3832.144] * [-3816.183] (-3842.895) (-3834.893) (-3838.347) -- 0:04:35
763000 -- (-3823.737) (-3836.496) (-3851.715) [-3821.942] * [-3824.554] (-3823.922) (-3846.020) (-3844.767) -- 0:04:33
764000 -- (-3824.528) [-3814.272] (-3853.734) (-3847.749) * (-3821.766) [-3822.215] (-3837.753) (-3845.948) -- 0:04:32
765000 -- (-3842.462) [-3819.029] (-3824.665) (-3829.856) * (-3840.859) (-3830.165) [-3831.498] (-3830.312) -- 0:04:31
Average standard deviation of split frequencies: 0.014899
766000 -- (-3852.392) (-3839.687) [-3828.803] (-3823.441) * (-3832.685) [-3823.149] (-3845.935) (-3833.100) -- 0:04:30
767000 -- (-3835.423) (-3836.692) (-3827.842) [-3824.251] * [-3837.529] (-3833.956) (-3843.085) (-3827.601) -- 0:04:29
768000 -- (-3838.931) [-3825.627] (-3834.230) (-3828.590) * [-3852.119] (-3843.978) (-3834.664) (-3847.880) -- 0:04:28
769000 -- (-3836.718) (-3835.217) (-3835.543) [-3819.840] * (-3854.376) (-3831.954) [-3819.195] (-3848.817) -- 0:04:27
770000 -- (-3850.258) (-3850.679) (-3848.498) [-3831.373] * (-3847.081) (-3829.379) [-3836.974] (-3849.566) -- 0:04:25
Average standard deviation of split frequencies: 0.014761
771000 -- [-3831.892] (-3848.209) (-3838.561) (-3846.189) * (-3863.817) [-3821.439] (-3847.843) (-3826.592) -- 0:04:24
772000 -- [-3840.300] (-3835.399) (-3834.266) (-3842.298) * (-3833.860) [-3837.576] (-3841.067) (-3824.239) -- 0:04:23
773000 -- (-3839.530) (-3846.099) (-3830.434) [-3828.657] * (-3833.189) (-3850.619) (-3840.422) [-3816.052] -- 0:04:22
774000 -- (-3847.254) (-3849.208) [-3835.631] (-3838.487) * (-3835.330) [-3831.327] (-3851.110) (-3825.400) -- 0:04:21
775000 -- (-3840.478) [-3823.349] (-3829.200) (-3827.730) * (-3842.901) (-3842.755) (-3833.557) [-3825.583] -- 0:04:20
Average standard deviation of split frequencies: 0.015235
776000 -- (-3822.583) (-3850.189) [-3813.010] (-3840.001) * (-3838.388) (-3840.583) (-3857.223) [-3811.219] -- 0:04:18
777000 -- (-3847.997) (-3831.220) (-3842.228) [-3834.494] * (-3839.240) (-3820.545) (-3833.992) [-3810.844] -- 0:04:18
778000 -- [-3814.364] (-3837.059) (-3850.818) (-3832.954) * (-3853.315) (-3843.484) (-3833.221) [-3814.560] -- 0:04:16
779000 -- (-3833.025) [-3819.153] (-3848.049) (-3841.487) * (-3859.827) (-3863.688) [-3816.189] (-3840.918) -- 0:04:15
780000 -- (-3830.247) (-3823.608) (-3844.322) [-3826.503] * (-3848.374) (-3871.433) [-3821.916] (-3840.809) -- 0:04:14
Average standard deviation of split frequencies: 0.015049
781000 -- (-3852.171) (-3838.300) (-3851.504) [-3831.677] * [-3833.590] (-3831.409) (-3825.245) (-3830.484) -- 0:04:13
782000 -- (-3842.485) [-3824.968] (-3823.997) (-3839.325) * [-3830.455] (-3857.205) (-3852.792) (-3831.435) -- 0:04:12
783000 -- (-3833.787) (-3823.006) (-3835.008) [-3825.244] * (-3811.935) [-3826.389] (-3848.294) (-3832.977) -- 0:04:11
784000 -- [-3817.097] (-3833.667) (-3839.253) (-3842.063) * [-3810.876] (-3840.443) (-3838.020) (-3826.183) -- 0:04:09
785000 -- (-3825.394) (-3838.391) [-3830.750] (-3835.657) * [-3824.647] (-3828.155) (-3834.957) (-3845.285) -- 0:04:08
Average standard deviation of split frequencies: 0.015357
786000 -- [-3815.914] (-3828.375) (-3836.060) (-3832.737) * (-3841.853) (-3830.952) [-3837.845] (-3839.387) -- 0:04:07
787000 -- (-3827.553) (-3842.154) [-3832.849] (-3841.210) * [-3836.172] (-3863.585) (-3848.834) (-3835.606) -- 0:04:06
788000 -- (-3829.666) (-3842.009) [-3825.120] (-3834.215) * (-3836.627) [-3829.007] (-3819.086) (-3831.043) -- 0:04:05
789000 -- (-3832.735) (-3852.754) [-3828.613] (-3837.994) * [-3830.220] (-3852.351) (-3827.737) (-3829.802) -- 0:04:03
790000 -- (-3839.023) (-3844.966) [-3848.716] (-3834.715) * (-3835.983) [-3826.870] (-3840.233) (-3839.337) -- 0:04:02
Average standard deviation of split frequencies: 0.015360
791000 -- (-3844.136) (-3837.516) (-3842.236) [-3842.377] * (-3832.961) (-3827.593) [-3816.933] (-3852.240) -- 0:04:01
792000 -- [-3834.281] (-3838.819) (-3836.832) (-3843.524) * (-3830.404) (-3826.785) [-3818.616] (-3840.670) -- 0:04:00
793000 -- (-3820.327) (-3832.392) [-3824.347] (-3823.668) * (-3840.555) (-3853.086) (-3818.091) [-3838.407] -- 0:03:59
794000 -- (-3820.792) (-3838.383) [-3831.302] (-3831.574) * (-3829.804) (-3850.716) (-3818.862) [-3835.409] -- 0:03:58
795000 -- (-3843.924) (-3851.657) [-3824.778] (-3833.050) * [-3820.300] (-3840.901) (-3839.427) (-3840.427) -- 0:03:56
Average standard deviation of split frequencies: 0.015558
796000 -- (-3839.751) (-3843.713) [-3822.885] (-3825.304) * (-3839.440) [-3833.000] (-3843.547) (-3834.600) -- 0:03:56
797000 -- (-3854.173) (-3830.307) [-3833.765] (-3847.846) * (-3825.195) (-3849.257) (-3840.954) [-3819.285] -- 0:03:54
798000 -- (-3844.984) (-3831.704) (-3822.365) [-3815.602] * [-3818.288] (-3835.996) (-3845.259) (-3826.428) -- 0:03:53
799000 -- [-3831.581] (-3815.532) (-3832.814) (-3837.498) * [-3821.761] (-3821.235) (-3854.479) (-3829.222) -- 0:03:52
800000 -- (-3841.411) [-3813.159] (-3829.573) (-3854.643) * (-3831.470) (-3831.982) (-3845.529) [-3819.024] -- 0:03:51
Average standard deviation of split frequencies: 0.016008
801000 -- (-3842.011) (-3834.009) [-3839.484] (-3827.835) * [-3832.885] (-3851.986) (-3829.155) (-3829.330) -- 0:03:50
802000 -- (-3827.873) (-3839.964) (-3832.274) [-3832.276] * (-3848.867) (-3836.064) [-3822.921] (-3828.763) -- 0:03:49
803000 -- (-3828.105) (-3834.041) (-3850.368) [-3838.703] * (-3849.593) (-3842.455) [-3828.985] (-3833.560) -- 0:03:47
804000 -- (-3837.844) (-3824.573) (-3851.964) [-3828.170] * [-3813.274] (-3847.609) (-3823.610) (-3864.161) -- 0:03:46
805000 -- (-3840.068) (-3833.967) [-3838.356] (-3828.368) * (-3817.825) (-3839.463) (-3838.496) [-3824.388] -- 0:03:45
Average standard deviation of split frequencies: 0.016392
806000 -- (-3835.381) (-3842.472) (-3846.671) [-3826.398] * (-3827.842) (-3861.660) (-3849.878) [-3826.808] -- 0:03:44
807000 -- (-3830.665) [-3818.312] (-3854.143) (-3833.303) * (-3848.245) (-3859.030) (-3833.503) [-3830.581] -- 0:03:43
808000 -- [-3821.676] (-3848.818) (-3851.695) (-3831.745) * (-3825.710) (-3834.358) (-3849.667) [-3833.324] -- 0:03:42
809000 -- (-3835.792) (-3853.804) [-3833.461] (-3825.805) * [-3819.702] (-3840.159) (-3846.034) (-3841.177) -- 0:03:40
810000 -- (-3839.956) (-3859.165) [-3832.449] (-3829.188) * (-3821.395) (-3830.073) [-3817.004] (-3847.847) -- 0:03:39
Average standard deviation of split frequencies: 0.015731
811000 -- (-3832.684) (-3833.269) (-3835.645) [-3840.143] * (-3838.651) (-3859.265) [-3835.960] (-3833.624) -- 0:03:38
812000 -- [-3823.067] (-3863.410) (-3841.113) (-3830.325) * (-3843.243) (-3844.404) (-3846.209) [-3846.609] -- 0:03:37
813000 -- (-3825.381) (-3841.215) [-3828.122] (-3847.434) * (-3839.949) [-3820.724] (-3843.618) (-3852.466) -- 0:03:36
814000 -- (-3821.704) [-3828.603] (-3835.652) (-3857.603) * (-3848.175) (-3842.041) (-3839.132) [-3830.183] -- 0:03:35
815000 -- (-3831.813) [-3834.338] (-3839.988) (-3844.351) * (-3825.857) (-3832.445) (-3825.588) [-3831.485] -- 0:03:34
Average standard deviation of split frequencies: 0.015887
816000 -- (-3833.708) [-3820.825] (-3844.013) (-3826.859) * (-3833.079) (-3840.518) (-3843.452) [-3842.998] -- 0:03:32
817000 -- [-3838.824] (-3835.384) (-3836.991) (-3834.277) * [-3817.885] (-3838.813) (-3830.113) (-3837.118) -- 0:03:31
818000 -- [-3829.952] (-3847.529) (-3833.692) (-3848.069) * (-3836.926) (-3838.852) (-3832.391) [-3830.117] -- 0:03:30
819000 -- (-3833.592) (-3848.831) [-3833.820] (-3847.723) * (-3853.245) (-3841.075) [-3818.392] (-3835.669) -- 0:03:29
820000 -- [-3827.501] (-3837.509) (-3826.470) (-3850.955) * (-3832.169) (-3846.908) [-3828.600] (-3834.564) -- 0:03:28
Average standard deviation of split frequencies: 0.015842
821000 -- (-3851.253) (-3833.439) [-3827.961] (-3835.563) * [-3839.490] (-3829.616) (-3816.987) (-3829.125) -- 0:03:27
822000 -- [-3823.233] (-3843.750) (-3871.791) (-3846.115) * (-3838.747) [-3814.585] (-3831.569) (-3841.148) -- 0:03:25
823000 -- [-3829.539] (-3857.552) (-3847.079) (-3844.905) * (-3844.510) [-3818.782] (-3835.433) (-3857.999) -- 0:03:24
824000 -- (-3834.017) (-3849.843) [-3841.772] (-3839.016) * (-3856.857) [-3813.129] (-3832.878) (-3857.917) -- 0:03:23
825000 -- (-3847.753) (-3840.755) (-3848.954) [-3834.753] * (-3850.122) [-3832.939] (-3836.296) (-3830.415) -- 0:03:22
Average standard deviation of split frequencies: 0.016100
826000 -- [-3819.388] (-3854.303) (-3841.152) (-3818.970) * (-3858.466) (-3844.758) [-3820.376] (-3835.080) -- 0:03:21
827000 -- (-3845.637) (-3839.468) (-3846.524) [-3828.414] * (-3829.097) (-3854.837) (-3830.799) [-3827.642] -- 0:03:20
828000 -- [-3841.867] (-3833.090) (-3826.366) (-3837.334) * (-3841.160) [-3835.075] (-3841.945) (-3846.175) -- 0:03:19
829000 -- (-3840.457) [-3828.321] (-3860.548) (-3829.500) * (-3862.005) (-3838.796) (-3847.090) [-3828.337] -- 0:03:17
830000 -- (-3838.400) (-3835.152) (-3835.338) [-3825.034] * (-3850.101) [-3828.995] (-3824.401) (-3833.019) -- 0:03:16
Average standard deviation of split frequencies: 0.016711
831000 -- (-3827.159) (-3841.529) (-3831.568) [-3822.829] * (-3855.800) [-3828.038] (-3830.187) (-3820.113) -- 0:03:15
832000 -- [-3833.398] (-3839.157) (-3845.908) (-3837.686) * (-3850.529) [-3821.575] (-3829.321) (-3810.734) -- 0:03:14
833000 -- (-3847.183) (-3848.371) (-3829.181) [-3832.117] * (-3849.845) [-3831.722] (-3836.798) (-3828.674) -- 0:03:13
834000 -- (-3851.014) (-3823.569) (-3820.521) [-3819.632] * (-3842.773) (-3843.104) [-3811.482] (-3831.348) -- 0:03:12
835000 -- (-3839.916) (-3830.916) (-3825.273) [-3823.548] * (-3832.542) [-3824.167] (-3842.761) (-3831.934) -- 0:03:10
Average standard deviation of split frequencies: 0.016605
836000 -- (-3839.387) (-3855.161) [-3820.555] (-3835.872) * [-3812.199] (-3833.740) (-3837.652) (-3831.935) -- 0:03:09
837000 -- (-3823.360) (-3838.756) [-3820.091] (-3841.201) * (-3836.416) (-3832.011) (-3839.131) [-3829.203] -- 0:03:08
838000 -- (-3824.211) [-3826.494] (-3834.806) (-3837.288) * (-3837.326) (-3839.181) (-3852.802) [-3821.086] -- 0:03:07
839000 -- [-3821.493] (-3819.810) (-3841.267) (-3839.827) * (-3849.530) [-3824.119] (-3839.858) (-3818.152) -- 0:03:06
840000 -- [-3828.013] (-3824.615) (-3836.087) (-3845.058) * (-3831.935) (-3819.050) [-3839.581] (-3820.024) -- 0:03:04
Average standard deviation of split frequencies: 0.016626
841000 -- [-3834.447] (-3830.043) (-3851.750) (-3842.632) * (-3817.994) [-3823.380] (-3852.280) (-3833.852) -- 0:03:03
842000 -- (-3836.861) [-3816.284] (-3857.693) (-3846.155) * (-3831.209) (-3827.884) (-3840.981) [-3819.640] -- 0:03:02
843000 -- (-3823.168) [-3830.992] (-3840.756) (-3842.296) * [-3831.722] (-3841.561) (-3849.401) (-3834.277) -- 0:03:01
844000 -- [-3822.492] (-3838.093) (-3834.726) (-3839.197) * (-3828.746) (-3839.043) (-3817.515) [-3832.089] -- 0:03:00
845000 -- [-3813.648] (-3842.672) (-3828.338) (-3841.743) * (-3822.092) (-3838.232) (-3818.951) [-3848.546] -- 0:02:59
Average standard deviation of split frequencies: 0.015979
846000 -- [-3819.352] (-3838.791) (-3851.589) (-3846.221) * [-3820.133] (-3850.535) (-3832.455) (-3849.093) -- 0:02:58
847000 -- (-3836.096) (-3835.959) [-3827.863] (-3836.109) * (-3826.965) (-3830.262) [-3837.082] (-3836.800) -- 0:02:56
848000 -- (-3842.024) (-3840.265) (-3835.069) [-3825.109] * [-3840.275] (-3834.449) (-3834.132) (-3834.013) -- 0:02:55
849000 -- (-3832.475) (-3837.578) [-3830.226] (-3830.927) * (-3859.322) (-3833.847) (-3838.420) [-3836.646] -- 0:02:54
850000 -- (-3850.913) (-3847.044) [-3851.792] (-3835.707) * (-3829.252) (-3835.062) (-3847.429) [-3831.201] -- 0:02:53
Average standard deviation of split frequencies: 0.015701
851000 -- [-3825.489] (-3837.775) (-3835.297) (-3832.492) * (-3831.097) (-3822.598) (-3835.092) [-3833.604] -- 0:02:52
852000 -- (-3840.613) [-3822.085] (-3838.963) (-3834.518) * (-3847.467) [-3823.679] (-3838.457) (-3847.027) -- 0:02:51
853000 -- (-3823.417) (-3819.865) [-3834.374] (-3863.613) * (-3840.531) [-3818.121] (-3839.613) (-3834.346) -- 0:02:49
854000 -- [-3832.393] (-3833.369) (-3850.354) (-3842.810) * (-3839.651) (-3835.079) (-3839.808) [-3824.187] -- 0:02:48
855000 -- (-3829.385) [-3840.132] (-3849.867) (-3845.920) * [-3828.701] (-3821.437) (-3827.007) (-3841.454) -- 0:02:47
Average standard deviation of split frequencies: 0.015297
856000 -- (-3848.508) (-3826.928) [-3817.038] (-3855.503) * (-3845.878) (-3835.224) [-3820.956] (-3840.954) -- 0:02:46
857000 -- (-3825.783) (-3847.030) [-3815.148] (-3840.729) * [-3817.620] (-3842.338) (-3834.064) (-3836.332) -- 0:02:45
858000 -- (-3827.770) (-3860.416) (-3835.027) [-3833.510] * [-3821.288] (-3826.067) (-3831.491) (-3835.846) -- 0:02:44
859000 -- [-3820.644] (-3832.654) (-3842.532) (-3839.835) * (-3832.290) (-3841.627) (-3827.512) [-3826.963] -- 0:02:42
860000 -- [-3827.485] (-3846.931) (-3835.090) (-3833.944) * (-3833.513) (-3853.274) [-3839.380] (-3830.942) -- 0:02:41
Average standard deviation of split frequencies: 0.014286
861000 -- (-3850.333) [-3830.290] (-3840.448) (-3841.685) * (-3833.148) (-3844.787) (-3841.928) [-3830.465] -- 0:02:40
862000 -- (-3841.528) (-3841.873) (-3854.445) [-3834.520] * (-3856.386) [-3825.804] (-3814.123) (-3826.100) -- 0:02:39
863000 -- (-3819.883) (-3854.714) (-3852.244) [-3820.794] * (-3849.989) (-3823.064) [-3817.200] (-3831.514) -- 0:02:38
864000 -- [-3822.676] (-3843.942) (-3845.994) (-3824.794) * (-3857.127) (-3825.006) [-3829.292] (-3827.912) -- 0:02:37
865000 -- (-3833.858) (-3836.481) [-3831.088] (-3846.401) * (-3834.781) [-3822.251] (-3837.550) (-3840.503) -- 0:02:36
Average standard deviation of split frequencies: 0.014108
866000 -- (-3842.174) (-3819.217) (-3833.186) [-3837.824] * (-3837.207) [-3836.112] (-3847.317) (-3845.509) -- 0:02:34
867000 -- (-3832.204) [-3807.994] (-3858.231) (-3845.029) * (-3841.566) (-3833.020) (-3842.070) [-3823.235] -- 0:02:33
868000 -- [-3831.602] (-3821.542) (-3849.441) (-3827.240) * (-3840.887) [-3815.033] (-3843.120) (-3844.831) -- 0:02:32
869000 -- (-3830.008) [-3812.548] (-3848.673) (-3830.278) * [-3822.055] (-3828.673) (-3841.197) (-3833.067) -- 0:02:31
870000 -- (-3847.613) [-3820.767] (-3827.119) (-3847.896) * [-3821.060] (-3853.204) (-3839.938) (-3844.357) -- 0:02:30
Average standard deviation of split frequencies: 0.013821
871000 -- (-3840.160) [-3826.872] (-3845.528) (-3843.329) * (-3822.461) [-3827.900] (-3855.509) (-3836.292) -- 0:02:29
872000 -- [-3823.016] (-3843.021) (-3836.013) (-3837.443) * [-3817.251] (-3841.100) (-3845.456) (-3844.625) -- 0:02:27
873000 -- (-3834.346) [-3835.748] (-3834.347) (-3847.537) * [-3825.676] (-3816.440) (-3857.512) (-3845.570) -- 0:02:26
874000 -- [-3822.207] (-3838.918) (-3845.476) (-3825.181) * (-3822.893) [-3830.799] (-3837.562) (-3827.536) -- 0:02:25
875000 -- (-3827.902) (-3826.061) (-3838.496) [-3834.029] * (-3826.286) (-3843.346) (-3841.775) [-3810.842] -- 0:02:24
Average standard deviation of split frequencies: 0.014021
876000 -- (-3846.817) [-3823.361] (-3836.339) (-3844.048) * [-3811.686] (-3846.912) (-3842.208) (-3829.523) -- 0:02:23
877000 -- [-3836.486] (-3830.415) (-3845.797) (-3830.363) * [-3816.799] (-3838.442) (-3836.383) (-3821.127) -- 0:02:22
878000 -- (-3837.094) [-3825.290] (-3855.240) (-3840.091) * (-3832.440) (-3835.418) [-3838.182] (-3833.581) -- 0:02:21
879000 -- (-3844.779) [-3828.309] (-3846.192) (-3823.500) * (-3829.022) (-3841.698) [-3818.812] (-3831.655) -- 0:02:19
880000 -- [-3829.236] (-3842.673) (-3851.917) (-3836.503) * (-3832.076) (-3836.872) [-3823.845] (-3849.104) -- 0:02:18
Average standard deviation of split frequencies: 0.014036
881000 -- (-3839.299) [-3828.220] (-3849.200) (-3840.812) * (-3843.498) (-3825.012) [-3816.696] (-3842.005) -- 0:02:17
882000 -- [-3838.878] (-3831.397) (-3843.141) (-3828.844) * (-3845.190) (-3825.384) [-3816.810] (-3837.598) -- 0:02:16
883000 -- (-3831.645) (-3826.751) (-3867.585) [-3825.356] * [-3821.435] (-3821.643) (-3849.378) (-3836.765) -- 0:02:15
884000 -- (-3849.753) (-3824.046) (-3843.260) [-3822.152] * (-3832.983) (-3821.595) [-3841.424] (-3832.456) -- 0:02:14
885000 -- (-3855.539) [-3811.028] (-3833.096) (-3817.046) * (-3827.138) (-3825.189) (-3837.309) [-3818.047] -- 0:02:12
Average standard deviation of split frequencies: 0.013680
886000 -- (-3843.268) (-3838.925) [-3830.137] (-3828.517) * [-3820.770] (-3848.183) (-3843.089) (-3808.975) -- 0:02:11
887000 -- [-3824.706] (-3839.656) (-3844.637) (-3838.500) * (-3829.013) (-3837.236) (-3841.346) [-3823.464] -- 0:02:10
888000 -- (-3833.995) [-3817.519] (-3859.787) (-3833.706) * [-3833.839] (-3853.024) (-3824.598) (-3815.158) -- 0:02:09
889000 -- [-3821.728] (-3828.519) (-3847.333) (-3829.481) * (-3843.540) (-3839.948) (-3825.043) [-3810.949] -- 0:02:08
890000 -- (-3857.388) (-3835.400) [-3828.803] (-3837.698) * (-3839.869) (-3818.022) (-3829.680) [-3815.790] -- 0:02:07
Average standard deviation of split frequencies: 0.014762
891000 -- (-3837.335) (-3837.885) (-3824.269) [-3822.732] * [-3823.418] (-3834.772) (-3834.823) (-3831.089) -- 0:02:06
892000 -- (-3824.765) (-3851.639) (-3839.000) [-3836.219] * (-3836.272) (-3835.755) [-3829.021] (-3824.542) -- 0:02:04
893000 -- [-3822.439] (-3835.196) (-3837.669) (-3824.982) * [-3831.967] (-3840.101) (-3833.701) (-3825.738) -- 0:02:03
894000 -- (-3841.464) (-3831.943) (-3846.294) [-3822.923] * [-3821.155] (-3858.581) (-3856.546) (-3828.916) -- 0:02:02
895000 -- (-3823.346) [-3832.213] (-3847.911) (-3834.603) * (-3827.142) (-3839.974) (-3843.109) [-3810.869] -- 0:02:01
Average standard deviation of split frequencies: 0.015286
896000 -- (-3829.620) (-3829.134) [-3824.344] (-3829.058) * (-3843.632) (-3845.647) [-3835.413] (-3826.314) -- 0:02:00
897000 -- (-3818.180) (-3835.365) [-3827.970] (-3834.422) * (-3847.153) (-3825.021) (-3828.637) [-3832.067] -- 0:01:59
898000 -- (-3833.251) (-3847.622) [-3816.791] (-3836.715) * [-3825.109] (-3840.984) (-3834.418) (-3824.572) -- 0:01:57
899000 -- [-3825.533] (-3848.906) (-3819.130) (-3844.719) * (-3839.884) (-3823.402) (-3835.156) [-3837.440] -- 0:01:56
900000 -- (-3827.588) (-3845.525) [-3809.583] (-3845.079) * [-3823.524] (-3820.344) (-3827.210) (-3844.444) -- 0:01:55
Average standard deviation of split frequencies: 0.016084
901000 -- (-3830.848) [-3828.808] (-3841.486) (-3837.835) * [-3822.085] (-3843.169) (-3827.819) (-3848.520) -- 0:01:54
902000 -- (-3832.515) (-3826.997) [-3831.112] (-3844.835) * [-3820.337] (-3862.044) (-3850.981) (-3829.077) -- 0:01:53
903000 -- (-3832.511) [-3826.741] (-3834.253) (-3837.579) * (-3820.919) [-3825.393] (-3845.387) (-3833.740) -- 0:01:52
904000 -- [-3828.007] (-3826.662) (-3845.299) (-3850.568) * (-3822.532) [-3834.103] (-3848.883) (-3841.783) -- 0:01:50
905000 -- [-3824.416] (-3837.352) (-3826.177) (-3854.864) * [-3819.424] (-3839.074) (-3838.434) (-3850.365) -- 0:01:49
Average standard deviation of split frequencies: 0.016185
906000 -- (-3816.701) (-3841.779) [-3818.436] (-3831.744) * (-3844.439) (-3852.615) [-3825.552] (-3837.755) -- 0:01:48
907000 -- (-3829.132) (-3838.566) [-3818.492] (-3836.708) * (-3817.360) (-3833.815) (-3838.004) [-3832.668] -- 0:01:47
908000 -- (-3846.574) (-3827.657) [-3829.228] (-3843.674) * [-3821.583] (-3837.575) (-3842.615) (-3835.278) -- 0:01:46
909000 -- (-3861.166) (-3847.745) [-3831.938] (-3831.674) * (-3829.379) [-3827.194] (-3840.444) (-3826.945) -- 0:01:45
910000 -- (-3852.027) (-3843.649) (-3848.750) [-3825.495] * (-3828.669) (-3847.818) (-3842.440) [-3832.990] -- 0:01:44
Average standard deviation of split frequencies: 0.016211
911000 -- (-3849.329) [-3829.659] (-3843.425) (-3829.604) * [-3830.204] (-3841.320) (-3838.031) (-3860.925) -- 0:01:42
912000 -- (-3853.024) [-3826.834] (-3820.002) (-3836.549) * (-3857.023) [-3837.253] (-3834.347) (-3841.386) -- 0:01:41
913000 -- (-3872.909) [-3828.816] (-3830.264) (-3849.967) * (-3858.857) (-3846.062) (-3852.464) [-3825.676] -- 0:01:40
914000 -- [-3817.043] (-3839.112) (-3838.628) (-3837.686) * (-3831.342) (-3842.812) [-3813.547] (-3826.100) -- 0:01:39
915000 -- [-3825.827] (-3828.706) (-3848.785) (-3826.396) * (-3838.215) (-3839.463) [-3811.578] (-3831.017) -- 0:01:38
Average standard deviation of split frequencies: 0.016143
916000 -- (-3835.951) (-3840.408) (-3849.756) [-3838.998] * (-3835.293) (-3837.265) [-3828.062] (-3837.273) -- 0:01:37
917000 -- [-3822.145] (-3829.965) (-3838.719) (-3828.014) * (-3833.931) (-3834.373) (-3829.578) [-3828.898] -- 0:01:35
918000 -- [-3830.013] (-3831.835) (-3843.746) (-3848.841) * (-3849.988) (-3831.472) (-3820.696) [-3815.518] -- 0:01:34
919000 -- (-3830.597) (-3826.494) (-3832.425) [-3832.051] * (-3848.199) (-3835.331) (-3822.482) [-3813.497] -- 0:01:33
920000 -- (-3835.889) [-3837.232] (-3831.680) (-3854.705) * (-3828.393) (-3833.627) [-3834.611] (-3853.630) -- 0:01:32
Average standard deviation of split frequencies: 0.016883
921000 -- (-3836.064) (-3828.513) [-3818.286] (-3823.082) * (-3830.508) [-3825.601] (-3835.098) (-3835.349) -- 0:01:31
922000 -- (-3836.873) [-3823.214] (-3826.073) (-3831.309) * (-3839.219) (-3826.795) (-3825.248) [-3831.782] -- 0:01:30
923000 -- (-3831.531) [-3833.233] (-3825.574) (-3864.540) * (-3853.605) [-3830.061] (-3817.206) (-3849.432) -- 0:01:29
924000 -- [-3827.296] (-3828.956) (-3818.563) (-3843.652) * (-3868.049) (-3836.220) [-3816.519] (-3828.966) -- 0:01:27
925000 -- (-3822.861) (-3834.224) [-3816.147] (-3852.026) * (-3843.584) (-3846.449) (-3829.389) [-3817.972] -- 0:01:26
Average standard deviation of split frequencies: 0.016744
926000 -- (-3838.023) (-3861.647) [-3825.962] (-3847.875) * [-3816.381] (-3832.856) (-3859.259) (-3837.289) -- 0:01:25
927000 -- (-3822.877) (-3849.356) (-3833.492) [-3846.697] * (-3821.458) (-3842.901) [-3824.919] (-3832.115) -- 0:01:24
928000 -- (-3829.558) [-3839.486] (-3835.878) (-3844.646) * (-3828.504) (-3849.556) (-3833.239) [-3814.039] -- 0:01:23
929000 -- (-3835.362) (-3841.944) [-3835.486] (-3825.668) * (-3818.498) [-3822.890] (-3837.294) (-3819.292) -- 0:01:22
930000 -- (-3832.618) (-3854.931) [-3829.917] (-3822.616) * (-3830.089) (-3839.406) [-3821.445] (-3819.337) -- 0:01:20
Average standard deviation of split frequencies: 0.017112
931000 -- (-3838.784) [-3825.468] (-3844.658) (-3829.199) * (-3837.223) (-3833.917) (-3827.544) [-3808.675] -- 0:01:19
932000 -- (-3839.154) (-3804.948) (-3834.091) [-3823.843] * (-3836.322) (-3846.629) (-3837.332) [-3812.959] -- 0:01:18
933000 -- (-3846.706) (-3831.943) (-3853.180) [-3825.066] * [-3822.568] (-3839.233) (-3848.961) (-3848.336) -- 0:01:17
934000 -- (-3833.419) [-3823.318] (-3844.581) (-3833.207) * [-3817.632] (-3857.727) (-3847.022) (-3835.507) -- 0:01:16
935000 -- (-3837.869) [-3830.507] (-3838.009) (-3830.938) * [-3819.904] (-3837.708) (-3833.483) (-3838.276) -- 0:01:15
Average standard deviation of split frequencies: 0.018201
936000 -- (-3829.728) [-3829.280] (-3831.256) (-3851.515) * (-3818.315) (-3839.460) [-3821.209] (-3831.734) -- 0:01:13
937000 -- (-3840.303) (-3843.924) (-3829.309) [-3809.803] * (-3842.404) [-3848.196] (-3823.581) (-3842.750) -- 0:01:12
938000 -- (-3853.673) (-3836.475) (-3814.431) [-3810.829] * (-3835.771) (-3835.616) [-3818.801] (-3850.361) -- 0:01:11
939000 -- (-3837.413) (-3828.377) (-3826.388) [-3816.545] * [-3840.203] (-3824.410) (-3820.299) (-3836.771) -- 0:01:10
940000 -- (-3852.673) (-3828.414) [-3812.056] (-3830.238) * (-3836.367) (-3836.556) (-3831.190) [-3833.224] -- 0:01:09
Average standard deviation of split frequencies: 0.017596
941000 -- (-3848.403) (-3839.074) [-3835.552] (-3827.516) * [-3822.454] (-3851.747) (-3837.664) (-3834.892) -- 0:01:08
942000 -- (-3853.329) (-3826.768) (-3830.595) [-3818.981] * (-3842.892) (-3860.809) [-3818.355] (-3827.162) -- 0:01:07
943000 -- (-3847.758) (-3833.233) [-3833.813] (-3833.342) * (-3839.594) (-3847.347) (-3836.306) [-3814.104] -- 0:01:05
944000 -- (-3830.684) (-3845.138) [-3825.016] (-3823.458) * (-3842.304) [-3829.480] (-3842.634) (-3832.846) -- 0:01:04
945000 -- (-3835.506) (-3843.384) [-3826.921] (-3846.045) * (-3837.318) [-3843.113] (-3850.240) (-3830.774) -- 0:01:03
Average standard deviation of split frequencies: 0.017289
946000 -- [-3819.889] (-3837.261) (-3824.764) (-3851.280) * [-3827.568] (-3832.224) (-3834.996) (-3849.236) -- 0:01:02
947000 -- [-3826.504] (-3829.005) (-3830.715) (-3817.957) * [-3824.067] (-3838.605) (-3835.535) (-3847.417) -- 0:01:01
948000 -- (-3826.666) [-3820.527] (-3817.289) (-3827.316) * (-3818.179) [-3821.010] (-3825.877) (-3848.013) -- 0:01:00
949000 -- [-3827.736] (-3835.639) (-3834.098) (-3817.876) * (-3829.539) [-3833.376] (-3837.658) (-3842.269) -- 0:00:58
950000 -- (-3825.229) [-3828.009] (-3838.446) (-3827.555) * (-3833.843) (-3840.607) [-3830.640] (-3843.844) -- 0:00:57
Average standard deviation of split frequencies: 0.016763
951000 -- (-3830.091) (-3849.337) [-3827.599] (-3829.393) * (-3851.148) (-3846.268) (-3818.977) [-3844.377] -- 0:00:56
952000 -- (-3849.437) (-3857.415) [-3831.744] (-3834.893) * (-3852.602) (-3835.767) [-3823.816] (-3832.075) -- 0:00:55
953000 -- [-3831.672] (-3856.061) (-3845.702) (-3823.226) * (-3850.031) (-3864.615) (-3813.529) [-3822.102] -- 0:00:54
954000 -- (-3839.107) (-3833.593) [-3827.735] (-3829.001) * (-3846.340) (-3836.098) (-3834.544) [-3821.521] -- 0:00:53
955000 -- (-3830.586) (-3857.666) (-3836.501) [-3819.152] * (-3829.157) (-3838.924) (-3830.810) [-3818.275] -- 0:00:52
Average standard deviation of split frequencies: 0.015752
956000 -- (-3813.624) (-3841.778) [-3819.210] (-3828.291) * (-3831.432) (-3849.673) [-3835.616] (-3820.815) -- 0:00:50
957000 -- (-3835.438) [-3816.530] (-3830.889) (-3833.417) * (-3853.757) (-3843.014) (-3829.646) [-3822.764] -- 0:00:49
958000 -- [-3832.311] (-3850.843) (-3822.309) (-3832.352) * (-3853.762) (-3844.543) (-3835.483) [-3817.555] -- 0:00:48
959000 -- [-3832.534] (-3843.515) (-3831.812) (-3828.556) * (-3842.768) (-3830.670) [-3827.444] (-3833.217) -- 0:00:47
960000 -- (-3827.688) (-3821.002) (-3854.046) [-3808.007] * (-3841.321) (-3832.932) [-3835.862] (-3833.276) -- 0:00:46
Average standard deviation of split frequencies: 0.014830
961000 -- (-3836.255) (-3829.401) (-3839.462) [-3814.810] * (-3847.177) [-3819.519] (-3834.477) (-3839.970) -- 0:00:45
962000 -- (-3849.737) (-3833.552) [-3828.236] (-3806.769) * (-3841.849) (-3826.586) [-3822.818] (-3836.710) -- 0:00:43
963000 -- (-3832.478) (-3837.815) (-3834.068) [-3816.614] * (-3825.178) [-3815.090] (-3815.806) (-3842.352) -- 0:00:42
964000 -- (-3835.787) (-3829.646) (-3824.930) [-3810.300] * [-3829.339] (-3834.065) (-3820.884) (-3847.647) -- 0:00:41
965000 -- (-3816.751) (-3830.182) (-3842.175) [-3817.706] * (-3845.749) [-3841.978] (-3832.237) (-3858.475) -- 0:00:40
Average standard deviation of split frequencies: 0.013664
966000 -- (-3822.267) (-3821.147) [-3810.651] (-3840.787) * [-3828.185] (-3841.696) (-3840.400) (-3832.363) -- 0:00:39
967000 -- [-3810.927] (-3813.801) (-3828.803) (-3822.135) * [-3817.427] (-3834.999) (-3833.451) (-3840.113) -- 0:00:38
968000 -- [-3829.974] (-3831.585) (-3830.201) (-3843.297) * (-3837.860) [-3826.588] (-3840.056) (-3828.869) -- 0:00:36
969000 -- (-3846.375) (-3841.822) [-3834.111] (-3834.211) * (-3831.953) (-3825.204) (-3830.979) [-3817.360] -- 0:00:35
970000 -- (-3848.584) (-3830.547) [-3827.263] (-3832.274) * (-3826.934) (-3845.353) (-3850.538) [-3821.144] -- 0:00:34
Average standard deviation of split frequencies: 0.013021
971000 -- (-3838.143) [-3817.368] (-3836.001) (-3852.090) * (-3826.098) [-3847.177] (-3842.095) (-3808.682) -- 0:00:33
972000 -- [-3831.010] (-3831.277) (-3844.157) (-3843.277) * (-3819.585) [-3831.071] (-3844.817) (-3830.678) -- 0:00:32
973000 -- [-3840.410] (-3847.658) (-3852.794) (-3830.947) * (-3818.642) (-3836.959) (-3846.165) [-3819.134] -- 0:00:31
974000 -- [-3824.759] (-3855.810) (-3843.001) (-3830.267) * (-3846.467) [-3822.708] (-3838.070) (-3817.421) -- 0:00:30
975000 -- [-3827.947] (-3844.584) (-3850.448) (-3820.552) * (-3845.380) (-3843.900) (-3833.289) [-3820.073] -- 0:00:28
Average standard deviation of split frequencies: 0.012819
976000 -- [-3824.098] (-3840.261) (-3833.078) (-3827.612) * (-3824.525) (-3840.419) [-3827.155] (-3824.506) -- 0:00:27
977000 -- (-3834.421) (-3858.311) (-3833.282) [-3812.644] * (-3847.386) (-3823.323) [-3827.767] (-3833.601) -- 0:00:26
978000 -- (-3830.473) (-3832.955) (-3824.268) [-3823.450] * (-3858.750) (-3840.676) (-3829.902) [-3829.402] -- 0:00:25
979000 -- (-3812.883) (-3849.780) [-3816.305] (-3820.692) * (-3840.427) (-3826.639) [-3818.489] (-3820.922) -- 0:00:24
980000 -- (-3827.967) (-3832.090) [-3826.970] (-3832.865) * (-3842.325) (-3837.286) [-3837.892] (-3824.154) -- 0:00:23
Average standard deviation of split frequencies: 0.012381
981000 -- (-3852.629) [-3825.568] (-3834.366) (-3825.630) * [-3820.305] (-3843.951) (-3833.707) (-3859.469) -- 0:00:21
982000 -- (-3848.819) (-3835.075) (-3843.660) [-3824.024] * (-3831.479) (-3855.631) (-3832.089) [-3830.722] -- 0:00:20
983000 -- (-3831.933) (-3838.323) [-3816.869] (-3845.153) * [-3828.847] (-3855.567) (-3839.143) (-3840.291) -- 0:00:19
984000 -- (-3830.788) (-3822.801) [-3812.586] (-3847.007) * [-3823.507] (-3842.020) (-3827.896) (-3843.707) -- 0:00:18
985000 -- (-3847.146) [-3819.141] (-3813.495) (-3814.876) * [-3817.121] (-3824.516) (-3856.523) (-3818.491) -- 0:00:17
Average standard deviation of split frequencies: 0.011565
986000 -- (-3850.946) [-3814.925] (-3812.169) (-3811.290) * (-3826.924) (-3839.746) [-3829.793] (-3830.747) -- 0:00:16
987000 -- (-3838.748) (-3817.857) (-3833.350) [-3820.303] * (-3841.159) (-3835.630) (-3828.340) [-3827.859] -- 0:00:15
988000 -- (-3834.443) (-3836.223) (-3832.191) [-3814.404] * (-3833.943) (-3842.658) [-3824.537] (-3847.755) -- 0:00:13
989000 -- (-3828.469) (-3865.250) (-3825.740) [-3822.271] * (-3842.051) (-3833.904) [-3826.076] (-3830.210) -- 0:00:12
990000 -- [-3839.079] (-3836.475) (-3840.085) (-3833.975) * (-3844.929) [-3824.673] (-3822.961) (-3812.863) -- 0:00:11
Average standard deviation of split frequencies: 0.011125
991000 -- (-3839.515) (-3848.503) (-3839.054) [-3815.021] * (-3844.697) (-3827.564) (-3833.014) [-3825.912] -- 0:00:10
992000 -- (-3856.678) [-3832.297] (-3829.771) (-3819.242) * (-3845.411) (-3828.383) [-3822.158] (-3830.940) -- 0:00:09
993000 -- (-3840.880) [-3826.283] (-3828.091) (-3841.733) * (-3837.066) (-3821.483) [-3816.843] (-3843.763) -- 0:00:08
994000 -- (-3839.167) [-3821.650] (-3843.451) (-3831.524) * (-3836.646) [-3817.795] (-3823.125) (-3861.900) -- 0:00:06
995000 -- (-3839.214) (-3851.448) (-3847.743) [-3824.101] * [-3838.890] (-3816.984) (-3825.467) (-3836.335) -- 0:00:05
Average standard deviation of split frequencies: 0.011372
996000 -- (-3842.702) (-3843.209) (-3843.517) [-3817.745] * (-3827.023) (-3836.219) [-3815.767] (-3845.716) -- 0:00:04
997000 -- (-3838.055) (-3831.156) (-3830.680) [-3820.781] * [-3837.912] (-3843.565) (-3830.683) (-3840.549) -- 0:00:03
998000 -- (-3841.514) (-3847.219) [-3813.369] (-3825.534) * (-3837.555) [-3830.141] (-3831.697) (-3832.359) -- 0:00:02
999000 -- (-3827.812) (-3838.256) [-3825.606] (-3841.659) * (-3849.037) [-3814.929] (-3827.947) (-3839.534) -- 0:00:01
1000000 -- (-3833.392) (-3820.697) (-3842.538) [-3831.385] * (-3842.665) [-3826.148] (-3817.675) (-3848.414) -- 0:00:00
Average standard deviation of split frequencies: 0.011267
Analysis completed in 19 mins 16 seconds
Analysis used 1155.60 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3799.35
Likelihood of best state for "cold" chain of run 2 was -3799.44
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
40.5 % ( 38 %) Dirichlet(Revmat{all})
59.8 % ( 42 %) Slider(Revmat{all})
20.6 % ( 28 %) Dirichlet(Pi{all})
25.6 % ( 31 %) Slider(Pi{all})
53.6 % ( 44 %) Multiplier(Alpha{1,2})
51.0 % ( 27 %) Multiplier(Alpha{3})
52.6 % ( 34 %) Slider(Pinvar{all})
33.9 % ( 42 %) ExtSPR(Tau{all},V{all})
32.6 % ( 44 %) ExtTBR(Tau{all},V{all})
42.4 % ( 44 %) NNI(Tau{all},V{all})
32.0 % ( 42 %) ParsSPR(Tau{all},V{all})
27.1 % ( 30 %) Multiplier(V{all})
58.0 % ( 56 %) Nodeslider(V{all})
25.1 % ( 24 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
40.3 % ( 31 %) Dirichlet(Revmat{all})
59.4 % ( 45 %) Slider(Revmat{all})
21.7 % ( 24 %) Dirichlet(Pi{all})
26.1 % ( 29 %) Slider(Pi{all})
51.6 % ( 27 %) Multiplier(Alpha{1,2})
51.2 % ( 22 %) Multiplier(Alpha{3})
52.7 % ( 28 %) Slider(Pinvar{all})
34.1 % ( 35 %) ExtSPR(Tau{all},V{all})
32.4 % ( 31 %) ExtTBR(Tau{all},V{all})
42.2 % ( 41 %) NNI(Tau{all},V{all})
31.9 % ( 30 %) ParsSPR(Tau{all},V{all})
27.0 % ( 33 %) Multiplier(V{all})
57.8 % ( 58 %) Nodeslider(V{all})
24.9 % ( 24 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.56 0.28 0.11
2 | 166467 0.60 0.31
3 | 166825 166828 0.62
4 | 166935 166307 166638
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.57 0.27 0.11
2 | 166601 0.59 0.31
3 | 167264 166358 0.62
4 | 167088 166610 166079
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)
+------------------------------------------------------------+ -3820.49
| 2 |
| 2 1 2 |
| 2 1 1|
| 2 1 2 1 |
| 1 1 2 1 1 2 2 * |
|2 1 2 1 2 1 1 2|
| 2 1 11 22 212 1 1 2 2 |
| 2 1 1 12 222 1 * 1 12 |
|1 2 2* *1 1 1 2**2 1 11 1 22 2 1 1 2 |
| 2 2 1 22 2 1 2 1 *1 1 * 2 *2 2 |
| 1 1 1 1 1 1 1 2 |
| 2 2 2 1 |
| 2 1 1 |
| 2 1 |
| 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3832.89
^ ^
250000 1000000
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -3808.64 -3845.83
2 -3811.56 -3852.33
--------------------------------------
TOTAL -3809.28 -3851.64
--------------------------------------
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} 0.392014 0.001590 0.311744 0.466401 0.389694 423.26 430.30 1.001
r(A<->C){all} 0.065707 0.000465 0.024799 0.107462 0.063763 730.30 776.87 1.000
r(A<->G){all} 0.171306 0.000755 0.121753 0.226377 0.170048 821.44 878.08 1.000
r(A<->T){all} 0.083007 0.000256 0.053667 0.115133 0.082193 1000.79 1042.02 1.000
r(C<->G){all} 0.033876 0.000250 0.005025 0.063975 0.032112 643.78 787.02 1.001
r(C<->T){all} 0.578472 0.001519 0.503451 0.652212 0.578186 641.45 724.40 1.000
r(G<->T){all} 0.067632 0.000211 0.039870 0.094991 0.066977 994.55 1062.13 1.000
pi(A){all} 0.266325 0.000118 0.245776 0.288149 0.266408 1058.99 1068.60 1.001
pi(C){all} 0.161294 0.000075 0.144281 0.177536 0.161182 808.61 964.79 1.000
pi(G){all} 0.218568 0.000100 0.197612 0.236867 0.218770 1109.76 1135.35 1.000
pi(T){all} 0.353813 0.000130 0.332583 0.376223 0.353628 981.11 1117.51 1.001
alpha{1,2} 0.083318 0.001768 0.000440 0.147564 0.087838 947.66 985.46 1.001
alpha{3} 3.729668 2.312053 1.213511 6.599697 3.472047 1038.42 1206.78 1.000
pinvar{all} 0.359155 0.004575 0.226703 0.483333 0.361669 645.19 795.71 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 -- C216
2 -- C298
3 -- C85
4 -- C161
5 -- C237
6 -- C269
7 -- C47
8 -- C19
9 -- C22
10 -- C61
11 -- C4
12 -- C29
13 -- C182
14 -- C251
15 -- C192
16 -- C235
17 -- C66
18 -- C279
19 -- C94
20 -- C122
21 -- C64
22 -- C30
23 -- C130
24 -- C71
25 -- C8
26 -- C135
27 -- C134
28 -- C45
29 -- C83
30 -- C142
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 -- ...................*..*..**...
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 3000 0.999334 0.000000 0.999334 0.999334 2
36 2992 0.996669 0.000942 0.996003 0.997335 2
37 2926 0.974684 0.000942 0.974017 0.975350 2
38 2737 0.911726 0.008009 0.906063 0.917388 2
39 2541 0.846436 0.011777 0.838108 0.854763 2
40 2326 0.774817 0.004711 0.771486 0.778148 2
41 2288 0.762159 0.016959 0.750167 0.774151 2
42 2201 0.733178 0.006124 0.728847 0.737508 2
43 2161 0.719853 0.014604 0.709527 0.730180 2
44 1946 0.648235 0.033919 0.624250 0.672219 2
45 1920 0.639574 0.031092 0.617588 0.661559 2
46 1745 0.581279 0.037216 0.554963 0.607595 2
47 1663 0.553964 0.000471 0.553631 0.554297 2
48 1178 0.392405 0.016017 0.381079 0.403731 2
49 1077 0.358761 0.031563 0.336442 0.381079 2
50 1047 0.348767 0.034390 0.324450 0.373085 2
51 947 0.315456 0.032505 0.292472 0.338441 2
52 936 0.311792 0.026381 0.293138 0.330446 2
53 866 0.288474 0.008480 0.282478 0.294470 2
54 621 0.206862 0.004240 0.203864 0.209860 2
55 594 0.197868 0.000942 0.197202 0.198534 2
56 593 0.197535 0.015546 0.186542 0.208528 2
57 592 0.197202 0.001884 0.195869 0.198534 2
58 561 0.186875 0.002355 0.185210 0.188541 2
59 536 0.178548 0.009422 0.171885 0.185210 2
60 521 0.173551 0.002355 0.171885 0.175217 2
61 514 0.171219 0.005653 0.167222 0.175217 2
62 498 0.165889 0.016017 0.154564 0.177215 2
63 490 0.163225 0.011306 0.155230 0.171219 2
64 470 0.156562 0.003769 0.153897 0.159227 2
65 384 0.127915 0.013191 0.118588 0.137242 2
66 304 0.101266 0.002827 0.099267 0.103264 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] 0.001491 0.000001 0.000050 0.003588 0.001259 1.001 2
length{all}[2] 0.001855 0.000002 0.000013 0.004215 0.001578 1.000 2
length{all}[3] 0.003779 0.000003 0.000751 0.006993 0.003510 1.000 2
length{all}[4] 0.000773 0.000001 0.000000 0.002289 0.000544 1.000 2
length{all}[5] 0.003841 0.000003 0.000901 0.007248 0.003587 1.000 2
length{all}[6] 0.001540 0.000001 0.000041 0.003684 0.001290 1.000 2
length{all}[7] 0.000752 0.000001 0.000000 0.002296 0.000514 1.000 2
length{all}[8] 0.000741 0.000001 0.000000 0.002256 0.000508 1.000 2
length{all}[9] 0.000768 0.000001 0.000000 0.002349 0.000540 1.000 2
length{all}[10] 0.001712 0.000001 0.000055 0.003948 0.001452 1.000 2
length{all}[11] 0.001524 0.000001 0.000066 0.003613 0.001258 1.001 2
length{all}[12] 0.000750 0.000001 0.000000 0.002233 0.000532 1.001 2
length{all}[13] 0.006824 0.000006 0.002447 0.011845 0.006517 1.000 2
length{all}[14] 0.000733 0.000001 0.000001 0.002201 0.000521 1.000 2
length{all}[15] 0.000976 0.000001 0.000001 0.002834 0.000707 1.000 2
length{all}[16] 0.001445 0.000001 0.000004 0.003388 0.001242 1.000 2
length{all}[17] 0.000744 0.000001 0.000000 0.002182 0.000519 1.000 2
length{all}[18] 0.220827 0.001013 0.162114 0.283290 0.218225 1.000 2
length{all}[19] 0.000763 0.000001 0.000000 0.002247 0.000533 1.000 2
length{all}[20] 0.000752 0.000001 0.000000 0.002256 0.000504 1.000 2
length{all}[21] 0.025176 0.000084 0.010480 0.043374 0.023795 1.001 2
length{all}[22] 0.005451 0.000004 0.002046 0.009773 0.005188 1.000 2
length{all}[23] 0.000712 0.000001 0.000000 0.002110 0.000491 1.000 2
length{all}[24] 0.014749 0.000013 0.008361 0.021647 0.014431 1.000 2
length{all}[25] 0.000764 0.000001 0.000000 0.002202 0.000526 1.000 2
length{all}[26] 0.000734 0.000001 0.000000 0.002190 0.000526 1.000 2
length{all}[27] 0.000742 0.000001 0.000000 0.002216 0.000515 1.000 2
length{all}[28] 0.001514 0.000001 0.000027 0.003598 0.001276 1.000 2
length{all}[29] 0.000749 0.000001 0.000000 0.002258 0.000525 1.000 2
length{all}[30] 0.004825 0.000004 0.001260 0.008916 0.004571 1.000 2
length{all}[31] 0.006776 0.000005 0.002821 0.011556 0.006517 1.001 2
length{all}[32] 0.014351 0.000014 0.007327 0.021760 0.014025 1.001 2
length{all}[33] 0.004844 0.000004 0.001392 0.008959 0.004553 1.000 2
length{all}[34] 0.003916 0.000003 0.000794 0.007352 0.003655 1.000 2
length{all}[35] 0.003804 0.000003 0.000990 0.007350 0.003570 1.000 2
length{all}[36] 0.006071 0.000005 0.002324 0.010929 0.005757 1.003 2
length{all}[37] 0.001537 0.000001 0.000011 0.003683 0.001279 1.000 2
length{all}[38] 0.003754 0.000003 0.000958 0.007531 0.003544 1.000 2
length{all}[39] 0.001485 0.000001 0.000013 0.003594 0.001229 1.000 2
length{all}[40] 0.001642 0.000001 0.000001 0.003942 0.001366 1.000 2
length{all}[41] 0.004713 0.000006 0.000007 0.009096 0.004568 1.000 2
length{all}[42] 0.001564 0.000001 0.000002 0.003960 0.001246 1.000 2
length{all}[43] 0.001497 0.000001 0.000007 0.003469 0.001262 1.000 2
length{all}[44] 0.007333 0.000008 0.002397 0.012895 0.006992 1.005 2
length{all}[45] 0.013886 0.000027 0.004000 0.023502 0.013586 1.000 2
length{all}[46] 0.002381 0.000002 0.000132 0.005116 0.002127 1.001 2
length{all}[47] 0.001538 0.000001 0.000001 0.003694 0.001282 1.005 2
length{all}[48] 0.000965 0.000001 0.000000 0.002696 0.000712 1.000 2
length{all}[49] 0.007457 0.000009 0.002523 0.013290 0.007093 0.999 2
length{all}[50] 0.005019 0.000005 0.001236 0.009475 0.004784 0.999 2
length{all}[51] 0.002415 0.000002 0.000311 0.005332 0.002139 0.999 2
length{all}[52] 0.000796 0.000001 0.000001 0.002324 0.000553 0.999 2
length{all}[53] 0.000785 0.000001 0.000001 0.002194 0.000574 0.999 2
length{all}[54] 0.000905 0.000001 0.000002 0.002623 0.000630 0.999 2
length{all}[55] 0.000760 0.000001 0.000000 0.002247 0.000530 0.999 2
length{all}[56] 0.002672 0.000004 0.000010 0.006192 0.002434 0.999 2
length{all}[57] 0.000699 0.000000 0.000001 0.002092 0.000490 0.999 2
length{all}[58] 0.000739 0.000001 0.000001 0.002344 0.000523 0.999 2
length{all}[59] 0.000717 0.000001 0.000001 0.002120 0.000481 1.009 2
length{all}[60] 0.000789 0.000001 0.000001 0.002390 0.000495 1.000 2
length{all}[61] 0.000759 0.000001 0.000003 0.002128 0.000519 1.000 2
length{all}[62] 0.000744 0.000001 0.000001 0.002260 0.000539 0.999 2
length{all}[63] 0.000747 0.000001 0.000001 0.002357 0.000485 1.001 2
length{all}[64] 0.000807 0.000001 0.000001 0.002224 0.000589 0.998 2
length{all}[65] 0.001480 0.000001 0.000005 0.003621 0.001219 0.997 2
length{all}[66] 0.001285 0.000001 0.000009 0.003420 0.001059 1.003 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 = 0.011267
Maximum standard deviation of split frequencies = 0.037216
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.009
Clade credibility values:
/--------------------------------------------------------------------- C216 (1)
|
|--------------------------------------------------------------------- C47 (7)
|
|--------------------------------------------------------------------- C4 (11)
|
|--------------------------------------------------------------------- C29 (12)
|
|--------------------------------------------------------------------- C94 (19)
|
|--------------------------------------------------------------------- C45 (28)
|
|--------------------------------------------------------------------- C83 (29)
|
| /--------------------------------------------------------------- C161 (4)
| |
| | /------ C237 (5)
| | /--100-+
| | | \------ C235 (16)
| | |
| | |------------- C269 (6)
| | /--77-+
| | | |------------- C251 (14)
| | | |
| | | | /------ C122 (20)
| | /--73-+ \--100-+
| | | | \------ C130 (23)
| | | |
| | | | /------ C135 (26)
+ | /--91-+ \-----100----+
|--85-+ | | \------ C134 (27)
| | | |
| | /--76--+ \------------------------- C30 (22)
| | | |
| | /--58-+ \------------------------------- C66 (17)
| | | |
| | /--65-+ \-------------------------------------- C71 (24)
| | | |
| | | \-------------------------------------------- C142 (30)
| | /-100-+
| | | | /------ C279 (18)
| | | \---------------------64--------------------+
| |--100-+ \------ C64 (21)
| | |
| | \-------------------------------------------------------- C182 (13)
| |
| \--------------------------------------------------------------- C22 (9)
|
| /------ C85 (3)
| /--97--+
| | \------ C8 (25)
| /-100-+
| | \------------- C19 (8)
|------------------------72-----------------------+
| \------------------- C192 (15)
|
| /------ C298 (2)
\------------------------------55------------------------------+
\------ C61 (10)
Phylogram (based on average branch lengths):
/ C216 (1)
|
| C47 (7)
|
| C4 (11)
|
| C29 (12)
|
| C94 (19)
|
| C45 (28)
|
| C83 (29)
|
| C161 (4)
|
| /- C237 (5)
| /+
| |\ C235 (16)
| |
| | C269 (6)
| /+
| || C251 (14)
| ||
| || / C122 (20)
| |\-+
| | \ C130 (23)
| |
| | / C135 (26)
+ /+-+
| || \ C134 (27)
| ||
| /+\-- C30 (22)
| ||
| /+\ C66 (17)
| ||
| /-+\---- C71 (24)
| | |
| | \-- C142 (30)
| /--+
| | | /------------------------------------------------------------ C279 (18)
| | \---+
|-+ \------- C64 (21)
| |
| \- C182 (13)
|
| C22 (9)
|
| /- C85 (3)
|/+
||\ C8 (25)
|+
|\ C19 (8)
|
|- C192 (15)
|
|- C298 (2)
|
\- C61 (10)
|------------| 0.050 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Fri Nov 18 14:39:55 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 09:24:26 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C251 1563 sites
reading seq# 2 C235 1563 sites
reading seq# 3 C192 1563 sites
reading seq# 4 C4 1563 sites
reading seq# 5 C279 1563 sites
reading seq# 6 C66 1563 sites
reading seq# 7 C94 1563 sites
reading seq# 8 C182 1563 sites
reading seq# 9 C45 1563 sites
reading seq#10 C122 1563 sites
reading seq#11 C298 1563 sites
reading seq#12 C216 1563 sites
reading seq#13 C85 1563 sites
reading seq#14 C64 1563 sites
reading seq#15 C30 1563 sites
reading seq#16 C237 1563 sites
reading seq#17 C161 1563 sites
reading seq#18 C269 1563 sites
reading seq#19 C71 1563 sites
reading seq#20 C130 1563 sites
reading seq#21 C19 1563 sites
reading seq#22 C47 1563 sites
reading seq#23 C135 1563 sites
reading seq#24 C134 1563 sites
reading seq#25 C8 1563 sites
reading seq#26 C61 1563 sites
reading seq#27 C22 1563 sites
reading seq#28 C142 1563 sites
reading seq#29 C83 1563 sites
reading seq#30 C29 1563 sitesns = 30 ls = 1563
Reading sequences, sequential format..
Reading seq # 1: C251
Reading seq # 2: C235
Reading seq # 3: C192
Reading seq # 4: C4
Reading seq # 5: C279
Reading seq # 6: C66
Reading seq # 7: C94
Reading seq # 8: C182
Reading seq # 9: C45
Reading seq #10: C122
Reading seq #11: C298
Reading seq #12: C216
Reading seq #13: C85
Reading seq #14: C64
Reading seq #15: C30
Reading seq #16: C237
Reading seq #17: C161
Reading seq #18: C269
Reading seq #19: C71
Reading seq #20: C130
Reading seq #21: C19
Reading seq #22: C47
Reading seq #23: C135
Reading seq #24: C134
Reading seq #25: C8
Reading seq #26: C61
Reading seq #27: C22
Reading seq #28: C142
Reading seq #29: C83
Reading seq #30: C29
Sequences read..
Counting site patterns.. 0:00
Compressing, 245 patterns at 521 / 521 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 245 patterns at 521 / 521 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
239120 bytes for conP
21560 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
2152080 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.102040 0.011392 0.068756 0.056852 0.063767 0.032856 0.050475 0.087589 0.030612 0.057216 0.063253 0.045255 0.051310 0.083505 0.013941 0.040067 0.082363 0.018852 0.087319 0.076088 0.017690 0.056600 0.040155 0.069729 0.048274 0.075424 0.074466 0.079089 0.018961 0.032875 0.044666 0.055068 0.024621 0.101803 0.028289 0.100203 0.062857 0.073084 0.064968 0.096150 0.035431 0.023096 0.043371 0.035759 0.065626 0.019374 0.090769 0.300000 0.742694 0.418472
ntime & nrate & np: 47 2 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 11.581769
np = 50
lnL0 = -4899.130383
Iterating by ming2
Initial: fx= 4899.130383
x= 0.10204 0.01139 0.06876 0.05685 0.06377 0.03286 0.05048 0.08759 0.03061 0.05722 0.06325 0.04526 0.05131 0.08350 0.01394 0.04007 0.08236 0.01885 0.08732 0.07609 0.01769 0.05660 0.04015 0.06973 0.04827 0.07542 0.07447 0.07909 0.01896 0.03287 0.04467 0.05507 0.02462 0.10180 0.02829 0.10020 0.06286 0.07308 0.06497 0.09615 0.03543 0.02310 0.04337 0.03576 0.06563 0.01937 0.09077 0.30000 0.74269 0.41847
1 h-m-p 0.0000 0.0000 2922.4491 ++ 4681.058701 m 0.0000 55 | 1/50
2 h-m-p 0.0000 0.0000 7238.8671 ++ 4527.011064 m 0.0000 108 | 2/50
3 h-m-p 0.0000 0.0000 25413.5813 ++ 4439.264457 m 0.0000 161 | 3/50
4 h-m-p 0.0000 0.0000 353418.2623 ++ 4408.536151 m 0.0000 214 | 4/50
5 h-m-p 0.0000 0.0000 81074107.4940 ++ 4383.240837 m 0.0000 267 | 5/50
6 h-m-p 0.0000 0.0000 21213.2752 ++ 4306.278693 m 0.0000 320 | 6/50
7 h-m-p 0.0000 0.0000 9288.4825 ++ 4258.424420 m 0.0000 373 | 7/50
8 h-m-p 0.0000 0.0000 9975.8917 ++ 4242.997471 m 0.0000 426 | 8/50
9 h-m-p 0.0000 0.0000 38831.6079 ++ 4195.717346 m 0.0000 479 | 9/50
10 h-m-p 0.0000 0.0000 105472.3047 ++ 4194.945168 m 0.0000 532 | 10/50
11 h-m-p 0.0000 0.0000 112385.6177 ++ 4158.007774 m 0.0000 585 | 11/50
12 h-m-p 0.0000 0.0000 23063.6327 ++ 4153.040685 m 0.0000 638 | 12/50
13 h-m-p 0.0000 0.0000 28863.7575 ++ 4124.718406 m 0.0000 691 | 13/50
14 h-m-p 0.0000 0.0000 28848.5002 ++ 4107.266601 m 0.0000 744 | 14/50
15 h-m-p 0.0000 0.0000 12475.3274 ++ 4090.819178 m 0.0000 797 | 15/50
16 h-m-p 0.0000 0.0000 8477.2585 ++ 4013.454280 m 0.0000 850 | 15/50
17 h-m-p 0.0000 0.0000 41020.4725 +YYYCCCC 4011.249028 6 0.0000 913 | 15/50
18 h-m-p 0.0000 0.0000 23492.9392 +CYYCCC 3994.337242 5 0.0000 976 | 15/50
19 h-m-p 0.0000 0.0000 15005.3464 +YYCYCYC 3989.062804 6 0.0000 1039 | 15/50
20 h-m-p 0.0000 0.0000 30200.0522 +YYYCYCCC 3984.376777 7 0.0000 1103 | 15/50
21 h-m-p 0.0000 0.0000 12273.2745 +YYYYC 3980.697965 4 0.0000 1161 | 15/50
22 h-m-p 0.0000 0.0000 8932.6096 +YYCYC 3978.131288 4 0.0000 1220 | 15/50
23 h-m-p 0.0000 0.0000 5539.6771 +YYCYYCCC 3973.387804 7 0.0000 1284 | 15/50
24 h-m-p 0.0000 0.0000 6572.8514 +YCYYC 3959.786197 4 0.0000 1344 | 15/50
25 h-m-p 0.0000 0.0000 265611.9123 +YYCYCC 3954.483292 5 0.0000 1405 | 15/50
26 h-m-p 0.0000 0.0000 4409.8896 ++ 3935.832797 m 0.0000 1458 | 15/50
27 h-m-p 0.0000 0.0000 14207.8911 +YYCCCC 3925.196512 5 0.0000 1520 | 15/50
28 h-m-p 0.0000 0.0000 2588.3223 +YCCCC 3920.753172 4 0.0000 1581 | 15/50
29 h-m-p 0.0000 0.0000 2601.9101 ++ 3912.994007 m 0.0000 1634 | 16/50
30 h-m-p 0.0000 0.0000 4245.6624 +YYYYYCC 3889.959587 6 0.0000 1695 | 16/50
31 h-m-p 0.0000 0.0000 3400.9491 +YYYYCCCCC 3873.541226 8 0.0000 1761 | 16/50
32 h-m-p 0.0000 0.0000 6704.0443 +YYYCCCCC 3851.257187 7 0.0000 1826 | 16/50
33 h-m-p 0.0000 0.0001 3459.2338 +CYCCC 3813.923520 4 0.0001 1887 | 16/50
34 h-m-p 0.0000 0.0000 32184.4440 ++ 3796.112923 m 0.0000 1940 | 16/50
35 h-m-p 0.0000 0.0000 3926.0988 YCCCC 3791.180727 4 0.0000 2000 | 16/50
36 h-m-p 0.0001 0.0003 740.1336 YCCCC 3778.969053 4 0.0001 2060 | 15/50
37 h-m-p 0.0000 0.0000 8510.6101 YYYC 3778.190928 3 0.0000 2116 | 15/50
38 h-m-p 0.0000 0.0002 325.0858 +YCC 3776.043286 2 0.0001 2173 | 14/50
39 h-m-p 0.0000 0.0002 928.1931 CYYCCC 3772.611338 5 0.0000 2234 | 14/50
40 h-m-p 0.0005 0.0026 15.9255 YCCC 3770.914504 3 0.0012 2292 | 14/50
41 h-m-p 0.0002 0.0011 86.5735 CCYC 3769.639131 3 0.0002 2350 | 14/50
42 h-m-p 0.0004 0.0020 33.7860 YCCC 3767.545738 3 0.0006 2408 | 14/50
43 h-m-p 0.0002 0.0011 36.6369 +YCYYYCCCCC 3752.798568 9 0.0010 2476 | 14/50
44 h-m-p 0.0024 0.0120 5.4661 +YCCCC 3746.587179 4 0.0069 2537 | 14/50
45 h-m-p 0.0027 0.0134 3.3963 +YYCCC 3741.495110 4 0.0095 2597 | 14/50
46 h-m-p 0.0007 0.0034 8.9924 +YCYCCC 3738.002537 5 0.0020 2659 | 14/50
47 h-m-p 0.0011 0.0053 13.5158 +CYC 3728.193085 2 0.0041 2716 | 14/50
48 h-m-p 0.0026 0.0132 4.4219 +YYCCCC 3713.760839 5 0.0092 2778 | 14/50
49 h-m-p 0.0097 0.0486 1.6633 +YCCC 3698.863460 3 0.0284 2837 | 14/50
50 h-m-p 0.0139 0.0693 1.4197 +YYYCCC 3668.239716 5 0.0517 2898 | 14/50
51 h-m-p 0.0163 0.0815 0.5730 +YYCCCC 3661.343733 5 0.0512 2960 | 14/50
52 h-m-p 0.0031 0.0156 1.1330 YYCC 3661.193940 3 0.0028 3053 | 14/50
53 h-m-p 0.0126 0.1503 0.2557 +CYCYC 3650.240275 4 0.1195 3114 | 14/50
54 h-m-p 0.1141 0.5704 0.1857 +YYCCC 3631.458498 4 0.4067 3210 | 14/50
55 h-m-p 0.0273 0.1365 0.2190 +YCYYYCC 3622.995182 6 0.1218 3308 | 14/50
56 h-m-p 0.0158 0.0790 0.3891 ++ 3616.980153 m 0.0790 3397 | 15/50
57 h-m-p 0.0835 0.4175 0.2402 +YCYCCC 3609.700967 5 0.2362 3495 | 15/50
58 h-m-p 0.1147 0.5734 0.4751 YCCC 3600.688041 3 0.2394 3588 | 15/50
59 h-m-p 0.2421 1.2107 0.1760 YCYCCC 3596.646996 5 0.6474 3684 | 15/50
60 h-m-p 0.4414 3.6945 0.2581 YCCC 3592.138468 3 0.9236 3777 | 15/50
61 h-m-p 0.5040 2.5198 0.0870 CCCCC 3590.066537 4 0.7978 3873 | 15/50
62 h-m-p 0.4267 2.1335 0.1136 CCC 3588.034774 2 0.6743 3965 | 15/50
63 h-m-p 1.3267 6.7337 0.0577 CCC 3586.476806 2 1.7599 4057 | 15/50
64 h-m-p 0.6845 3.4226 0.0629 CCCC 3585.815486 3 1.2135 4151 | 15/50
65 h-m-p 1.6000 8.0000 0.0308 CCC 3585.341411 2 2.1281 4243 | 15/50
66 h-m-p 1.6000 8.0000 0.0288 CCC 3584.904801 2 2.2405 4335 | 15/50
67 h-m-p 1.6000 8.0000 0.0183 YCCC 3584.491331 3 2.5103 4428 | 15/50
68 h-m-p 1.6000 8.0000 0.0242 YCC 3584.051059 2 2.7582 4519 | 15/50
69 h-m-p 1.6000 8.0000 0.0257 CCC 3583.883837 2 1.3399 4611 | 15/50
70 h-m-p 1.5887 8.0000 0.0217 YC 3583.783911 1 2.9277 4700 | 15/50
71 h-m-p 1.6000 8.0000 0.0141 YC 3583.710117 1 2.7687 4789 | 15/50
72 h-m-p 1.6000 8.0000 0.0011 YC 3583.631789 1 3.4988 4878 | 15/50
73 h-m-p 0.1812 8.0000 0.0220 ++YC 3583.550557 1 2.4391 4969 | 15/50
74 h-m-p 1.6000 8.0000 0.0051 YC 3583.475412 1 3.3901 5058 | 15/50
75 h-m-p 1.6000 8.0000 0.0011 +YC 3583.359105 1 4.7067 5148 | 15/50
76 h-m-p 0.4470 8.0000 0.0120 +YCC 3583.185604 2 3.0156 5240 | 15/50
77 h-m-p 1.6000 8.0000 0.0111 YC 3583.036945 1 3.5817 5329 | 15/50
78 h-m-p 1.6000 8.0000 0.0165 YC 3582.768509 1 3.5083 5418 | 15/50
79 h-m-p 1.6000 8.0000 0.0009 CC 3582.714696 1 1.8477 5508 | 15/50
80 h-m-p 1.6000 8.0000 0.0007 YC 3582.682804 1 2.7542 5597 | 15/50
81 h-m-p 1.0842 8.0000 0.0017 +YC 3582.601893 1 5.2197 5687 | 15/50
82 h-m-p 1.1461 8.0000 0.0078 +YC 3582.502493 1 3.1168 5777 | 15/50
83 h-m-p 1.6000 8.0000 0.0087 YC 3582.418402 1 3.0100 5866 | 15/50
84 h-m-p 1.6000 8.0000 0.0013 +YC 3582.341802 1 4.7776 5956 | 15/50
85 h-m-p 0.5451 8.0000 0.0112 +YC 3582.181282 1 4.1073 6046 | 15/50
86 h-m-p 1.6000 8.0000 0.0046 YCC 3582.091499 2 2.9793 6137 | 15/50
87 h-m-p 1.6000 8.0000 0.0073 YCCC 3582.006197 3 2.7842 6230 | 15/50
88 h-m-p 1.6000 8.0000 0.0109 CC 3581.963392 1 1.8244 6320 | 15/50
89 h-m-p 1.6000 8.0000 0.0083 CY 3581.939882 1 1.5213 6410 | 15/50
90 h-m-p 1.6000 8.0000 0.0037 YC 3581.928771 1 2.5884 6499 | 15/50
91 h-m-p 1.6000 8.0000 0.0012 +YC 3581.908805 1 4.0713 6589 | 15/50
92 h-m-p 1.6000 8.0000 0.0031 YC 3581.892035 1 3.1912 6678 | 15/50
93 h-m-p 1.6000 8.0000 0.0020 YC 3581.878829 1 3.2713 6767 | 15/50
94 h-m-p 1.5969 8.0000 0.0041 +CC 3581.851031 1 5.9621 6858 | 15/50
95 h-m-p 1.6000 8.0000 0.0037 +YC 3581.803794 1 4.6984 6948 | 15/50
96 h-m-p 1.6000 8.0000 0.0053 +CC 3581.660044 1 5.8463 7039 | 15/50
97 h-m-p 1.6000 8.0000 0.0036 CCC 3581.546831 2 2.4587 7131 | 15/50
98 h-m-p 1.6000 8.0000 0.0040 +YC 3581.427113 1 4.3377 7221 | 15/50
99 h-m-p 1.6000 8.0000 0.0025 YCCC 3581.163290 3 3.7043 7314 | 15/50
100 h-m-p 0.3828 8.0000 0.0241 +CCC 3581.062579 2 1.6614 7407 | 15/50
101 h-m-p 1.6000 8.0000 0.0015 CCC 3581.000872 2 1.7502 7499 | 15/50
102 h-m-p 1.3286 8.0000 0.0020 YC 3580.928549 1 2.3682 7588 | 15/50
103 h-m-p 0.7647 8.0000 0.0062 +CY 3580.829851 1 3.0144 7679 | 15/50
104 h-m-p 1.6000 8.0000 0.0072 CCC 3580.789298 2 1.7585 7771 | 15/50
105 h-m-p 1.6000 8.0000 0.0014 CC 3580.769793 1 2.0228 7861 | 15/50
106 h-m-p 1.6000 8.0000 0.0011 CC 3580.760459 1 2.3417 7951 | 15/50
107 h-m-p 1.6000 8.0000 0.0012 YC 3580.745972 1 3.6267 8040 | 15/50
108 h-m-p 1.6000 8.0000 0.0025 CC 3580.739207 1 2.0862 8130 | 15/50
109 h-m-p 1.6000 8.0000 0.0003 CC 3580.735937 1 2.3684 8220 | 15/50
110 h-m-p 1.3861 8.0000 0.0005 ++ 3580.721984 m 8.0000 8308 | 15/50
111 h-m-p 1.6000 8.0000 0.0006 YC 3580.696828 1 2.7764 8397 | 15/50
112 h-m-p 1.6000 8.0000 0.0005 YC 3580.689197 1 3.6558 8486 | 15/50
113 h-m-p 1.6000 8.0000 0.0003 CC 3580.682778 1 2.2828 8576 | 15/50
114 h-m-p 0.6227 8.0000 0.0010 YC 3580.682354 1 1.2756 8665 | 15/50
115 h-m-p 1.6000 8.0000 0.0001 +YC 3580.682075 1 4.1488 8755 | 15/50
116 h-m-p 1.6000 8.0000 0.0002 C 3580.681765 0 2.2126 8843 | 15/50
117 h-m-p 0.9611 8.0000 0.0004 Y 3580.681668 0 1.9803 8931 | 15/50
118 h-m-p 1.6000 8.0000 0.0000 ++ 3580.681285 m 8.0000 9019 | 15/50
119 h-m-p 0.5873 8.0000 0.0006 +C 3580.681018 0 2.6076 9108 | 15/50
120 h-m-p 1.6000 8.0000 0.0001 ++ 3580.679317 m 8.0000 9196 | 15/50
121 h-m-p 0.1612 8.0000 0.0050 ++YC 3580.658079 1 2.0346 9287 | 15/50
122 h-m-p 1.6000 8.0000 0.0005 ++ 3580.546229 m 8.0000 9375 | 15/50
123 h-m-p 1.2429 8.0000 0.0034 CC 3580.495701 1 1.6899 9465 | 15/50
124 h-m-p 1.6000 8.0000 0.0003 ++ 3580.326834 m 8.0000 9553 | 15/50
125 h-m-p 0.7842 5.9137 0.0028 +YYCC 3580.003514 3 2.5087 9646 | 15/50
126 h-m-p 0.8603 4.3015 0.0013 CYCCC 3579.865221 4 1.3604 9741 | 15/50
127 h-m-p 0.4780 8.0000 0.0036 +YCC 3579.821588 2 1.3649 9833 | 15/50
128 h-m-p 1.6000 8.0000 0.0007 YCC 3579.786007 2 2.4149 9924 | 15/50
129 h-m-p 1.6000 8.0000 0.0008 CC 3579.762423 1 2.2109 10014 | 15/50
130 h-m-p 0.5072 8.0000 0.0037 +CC 3579.741174 1 3.1231 10105 | 15/50
131 h-m-p 1.6000 8.0000 0.0031 C 3579.734417 0 1.7288 10193 | 15/50
132 h-m-p 1.6000 8.0000 0.0001 Y 3579.734161 0 1.1735 10281 | 15/50
133 h-m-p 1.6000 8.0000 0.0000 Y 3579.734159 0 1.1222 10369 | 15/50
134 h-m-p 1.6000 8.0000 0.0000 C 3579.734159 0 0.5824 10457 | 15/50
135 h-m-p 1.4670 8.0000 0.0000 C 3579.734159 0 1.3478 10545 | 15/50
136 h-m-p 1.6000 8.0000 0.0000 C 3579.734159 0 2.3670 10633 | 15/50
137 h-m-p 1.6000 8.0000 0.0000 C 3579.734159 0 0.3325 10721 | 15/50
138 h-m-p 0.5170 8.0000 0.0000 C 3579.734159 0 0.1469 10809 | 15/50
139 h-m-p 0.1461 8.0000 0.0000 C 3579.734159 0 0.1461 10897 | 15/50
140 h-m-p 0.2612 8.0000 0.0000 ---C 3579.734159 0 0.0010 10988
Out..
lnL = -3579.734159
10989 lfun, 32967 eigenQcodon, 1032966 P(t)
end of tree file.
Time used: 8:53
Model 2: PositiveSelection
TREE # 1
(12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.012893 0.094929 0.060399 0.027616 0.040399 0.063018 0.083770 0.061326 0.035253 0.097209 0.048760 0.027613 0.020187 0.041673 0.011564 0.027877 0.030452 0.030640 0.090902 0.035923 0.090759 0.042231 0.038471 0.107994 0.044473 0.037729 0.101489 0.046212 0.108493 0.040996 0.088260 0.057632 0.102247 0.087709 0.022717 0.026088 0.074246 0.049108 0.048851 0.089014 0.024645 0.109942 0.020994 0.086441 0.097218 0.055309 0.090873 2.477790 0.943419 0.496117 0.444245 1.475173
ntime & nrate & np: 47 3 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.376202
np = 52
lnL0 = -4744.994111
Iterating by ming2
Initial: fx= 4744.994111
x= 0.01289 0.09493 0.06040 0.02762 0.04040 0.06302 0.08377 0.06133 0.03525 0.09721 0.04876 0.02761 0.02019 0.04167 0.01156 0.02788 0.03045 0.03064 0.09090 0.03592 0.09076 0.04223 0.03847 0.10799 0.04447 0.03773 0.10149 0.04621 0.10849 0.04100 0.08826 0.05763 0.10225 0.08771 0.02272 0.02609 0.07425 0.04911 0.04885 0.08901 0.02464 0.10994 0.02099 0.08644 0.09722 0.05531 0.09087 2.47779 0.94342 0.49612 0.44425 1.47517
1 h-m-p 0.0000 0.0000 2742.4003 ++ 4469.591074 m 0.0000 57 | 0/52
2 h-m-p 0.0000 0.0000 216230.0686 ++ 4393.171247 m 0.0000 112 | 1/52
3 h-m-p 0.0000 0.0000 4951.4907 ++ 4322.416407 m 0.0000 167 | 2/52
4 h-m-p 0.0000 0.0000 61004.3522 ++ 4246.996719 m 0.0000 222 | 3/52
5 h-m-p 0.0000 0.0000 242950.6133 ++ 4198.754078 m 0.0000 277 | 4/52
6 h-m-p 0.0000 0.0000 111249.6534 ++ 4189.560857 m 0.0000 332 | 5/52
7 h-m-p 0.0000 0.0000 47117.1487 ++ 4181.421063 m 0.0000 387 | 6/52
8 h-m-p 0.0000 0.0000 49507.1119 ++ 4159.124015 m 0.0000 442 | 7/52
9 h-m-p 0.0000 0.0000 18427.6771 ++ 4146.380395 m 0.0000 497 | 8/52
10 h-m-p 0.0000 0.0000 26923.1127 ++ 4065.827362 m 0.0000 552 | 8/52
11 h-m-p 0.0000 0.0000 6098.1210 ++ 3998.451363 m 0.0000 607 | 9/52
12 h-m-p 0.0000 0.0000 6833.5252 ++ 3956.503749 m 0.0000 662 | 10/52
13 h-m-p 0.0000 0.0000 6300.9004 ++ 3943.093581 m 0.0000 717 | 11/52
14 h-m-p 0.0000 0.0000 7903.4344 ++ 3917.666709 m 0.0000 772 | 12/52
15 h-m-p 0.0000 0.0000 5667.0267 ++ 3900.083825 m 0.0000 827 | 13/52
16 h-m-p 0.0000 0.0000 3278.9661 ++ 3888.087041 m 0.0000 882 | 14/52
17 h-m-p 0.0000 0.0000 3029.4042 ++ 3887.692962 m 0.0000 937 | 15/52
18 h-m-p 0.0000 0.0001 623.8153 +YYCYCCC 3882.730297 6 0.0000 1002 | 15/52
19 h-m-p 0.0000 0.0001 644.8349 +YCCC 3880.111206 3 0.0000 1063 | 15/52
20 h-m-p 0.0000 0.0000 577.6534 +YYCCC 3878.097408 4 0.0000 1125 | 15/52
21 h-m-p 0.0000 0.0000 440.1390 +YYCCC 3876.683127 4 0.0000 1187 | 15/52
22 h-m-p 0.0000 0.0000 732.0161 YCCC 3875.526770 3 0.0000 1247 | 15/52
23 h-m-p 0.0000 0.0000 928.8689 +YCCC 3873.455538 3 0.0000 1308 | 15/52
24 h-m-p 0.0000 0.0001 689.0847 +YYYCCC 3869.368135 5 0.0001 1371 | 15/52
25 h-m-p 0.0000 0.0001 1458.3666 ++ 3857.341163 m 0.0001 1426 | 15/52
26 h-m-p -0.0000 -0.0000 2501.3843
h-m-p: -4.68493863e-22 -2.34246931e-21 2.50138430e+03 3857.341163
.. | 15/52
27 h-m-p 0.0000 0.0000 18770.1697 CYYCCC 3851.699293 5 0.0000 1542 | 15/52
28 h-m-p 0.0000 0.0000 1795.3700 +YYCC 3841.293968 3 0.0000 1602 | 15/52
29 h-m-p 0.0000 0.0000 1180.2858 +YCYYYYYC 3832.976477 7 0.0000 1666 | 15/52
30 h-m-p 0.0000 0.0000 4358.5102 +YYYCCC 3825.421008 5 0.0000 1729 | 15/52
31 h-m-p 0.0000 0.0000 4744.7710 +YYYCYCCC 3821.249343 7 0.0000 1795 | 15/52
32 h-m-p 0.0000 0.0000 10234.6498 +YYCCC 3811.845247 4 0.0000 1857 | 15/52
33 h-m-p 0.0000 0.0000 2771.3822 +CYCYC 3792.093872 4 0.0000 1919 | 15/52
34 h-m-p 0.0000 0.0000 13700.3412 +YYYYYY 3787.298467 5 0.0000 1980 | 15/52
35 h-m-p 0.0000 0.0000 5276.0750 +YYYYYC 3783.925562 5 0.0000 2041 | 15/52
36 h-m-p 0.0000 0.0000 7396.7520 YYYC 3775.698652 3 0.0000 2099 | 15/52
37 h-m-p 0.0000 0.0000 1393.3272 +CYYCCC 3763.673479 5 0.0000 2163 | 15/52
38 h-m-p 0.0000 0.0000 2416.3564 +YYCCC 3762.839192 4 0.0000 2225 | 15/52
39 h-m-p 0.0000 0.0000 1335.0625 +YYYYCC 3760.767532 5 0.0000 2287 | 15/52
40 h-m-p 0.0000 0.0000 4875.4650 +YYCYYCC 3754.093282 6 0.0000 2352 | 15/52
41 h-m-p 0.0000 0.0000 5729.9528 +CYCCC 3730.696644 4 0.0000 2415 | 15/52
42 h-m-p 0.0000 0.0000 11234.0711 +CYC 3725.579190 2 0.0000 2474 | 15/52
43 h-m-p 0.0000 0.0000 2920.0010 ++ 3722.749073 m 0.0000 2529 | 16/52
44 h-m-p 0.0000 0.0000 1046.5388 YCCCC 3722.238379 4 0.0000 2591 | 16/52
45 h-m-p 0.0000 0.0001 331.3164 YCCC 3721.258218 3 0.0001 2651 | 16/52
46 h-m-p 0.0000 0.0000 1123.0648 CC 3720.649130 1 0.0000 2708 | 16/52
47 h-m-p 0.0000 0.0001 307.7032 ++ 3713.778441 m 0.0001 2763 | 16/52
48 h-m-p 0.0000 0.0001 2662.1513 +YYCCC 3699.990683 4 0.0000 2825 | 16/52
49 h-m-p 0.0000 0.0000 1368.7939 YCCC 3698.137599 3 0.0000 2885 | 16/52
50 h-m-p 0.0000 0.0003 624.9389 +YCYCCC 3692.518235 5 0.0001 2949 | 16/52
51 h-m-p 0.0000 0.0000 2342.3018 +YCYCCC 3688.322326 5 0.0000 3013 | 16/52
52 h-m-p 0.0000 0.0001 3837.5645 +YYYYYC 3672.288088 5 0.0001 3074 | 16/52
53 h-m-p 0.0000 0.0000 7817.5213 +YYYYYCC 3656.944889 6 0.0000 3137 | 16/52
54 h-m-p 0.0000 0.0000 14315.7794 ++ 3638.031252 m 0.0000 3192 | 17/52
55 h-m-p 0.0000 0.0001 2879.6391 CYCC 3635.009328 3 0.0000 3252 | 17/52
56 h-m-p 0.0001 0.0003 774.7970 CCCC 3632.413707 3 0.0001 3313 | 16/52
57 h-m-p 0.0000 0.0001 1550.8810 CCCC 3629.528514 3 0.0000 3374 | 16/52
58 h-m-p 0.0002 0.0011 49.4936 YC 3629.510435 1 0.0000 3430 | 16/52
59 h-m-p 0.0001 0.0037 10.8138 C 3629.498662 0 0.0001 3485 | 16/52
60 h-m-p 0.0001 0.0023 27.9728 CC 3629.489698 1 0.0001 3542 | 16/52
61 h-m-p 0.0001 0.0071 14.5149 +CCC 3629.390171 2 0.0006 3602 | 16/52
62 h-m-p 0.0001 0.0088 72.1158 +++YYCCC 3623.875529 4 0.0061 3666 | 16/52
63 h-m-p 0.1876 0.9378 2.2506 +YYCCC 3598.386517 4 0.5508 3728 | 16/52
64 h-m-p 0.1538 0.7692 3.2954 YCCC 3592.603523 3 0.3429 3788 | 16/52
65 h-m-p 0.0694 0.3468 4.1621 CCCC 3590.628722 3 0.1138 3849 | 16/52
66 h-m-p 0.0681 0.3407 0.7641 +YYYC 3587.885695 3 0.2517 3908 | 16/52
67 h-m-p 0.2258 1.8872 0.8517 +YYCC 3583.482600 3 0.8476 4004 | 16/52
68 h-m-p 0.4364 2.1819 0.5237 CCCC 3582.006241 3 0.6080 4101 | 16/52
69 h-m-p 0.8075 4.0376 0.1193 CCC 3581.091979 2 1.1181 4196 | 16/52
70 h-m-p 0.3707 1.8537 0.1233 YCCCC 3580.608979 4 0.7157 4294 | 16/52
71 h-m-p 0.9862 7.3914 0.0895 YCC 3580.212851 2 1.6375 4388 | 16/52
72 h-m-p 1.0021 5.0104 0.0687 CCC 3579.987892 2 1.0699 4483 | 16/52
73 h-m-p 0.5504 6.3386 0.1335 CC 3579.867144 1 0.8054 4576 | 16/52
74 h-m-p 1.6000 8.0000 0.0332 YCC 3579.809512 2 1.0556 4670 | 16/52
75 h-m-p 1.4833 8.0000 0.0236 YC 3579.784644 1 1.1397 4762 | 16/52
76 h-m-p 1.2967 8.0000 0.0207 CY 3579.769109 1 1.2139 4855 | 16/52
77 h-m-p 1.6000 8.0000 0.0146 CC 3579.759672 1 1.7563 4948 | 16/52
78 h-m-p 1.6000 8.0000 0.0044 YC 3579.748667 1 2.9973 5040 | 16/52
79 h-m-p 1.4999 8.0000 0.0087 CC 3579.741255 1 1.6214 5133 | 16/52
80 h-m-p 1.6000 8.0000 0.0064 YC 3579.737270 1 1.0836 5225 | 16/52
81 h-m-p 1.6000 8.0000 0.0036 YC 3579.735545 1 1.2272 5317 | 16/52
82 h-m-p 1.6000 8.0000 0.0008 C 3579.734805 0 1.4975 5408 | 16/52
83 h-m-p 0.4182 8.0000 0.0029 +C 3579.734435 0 1.9886 5500 | 16/52
84 h-m-p 1.6000 8.0000 0.0028 C 3579.734262 0 1.7436 5591 | 16/52
85 h-m-p 1.6000 8.0000 0.0017 C 3579.734195 0 1.4716 5682 | 16/52
86 h-m-p 1.6000 8.0000 0.0006 C 3579.734167 0 1.7128 5773 | 16/52
87 h-m-p 1.6000 8.0000 0.0003 C 3579.734162 0 1.3251 5864 | 16/52
88 h-m-p 1.6000 8.0000 0.0002 C 3579.734160 0 1.8046 5955 | 16/52
89 h-m-p 1.6000 8.0000 0.0001 C 3579.734159 0 1.7895 6046 | 16/52
90 h-m-p 1.6000 8.0000 0.0001 Y 3579.734159 0 0.8953 6137 | 16/52
91 h-m-p 1.6000 8.0000 0.0000 Y 3579.734159 0 1.2406 6228 | 16/52
92 h-m-p 1.6000 8.0000 0.0000 C 3579.734159 0 2.1676 6319 | 16/52
93 h-m-p 1.6000 8.0000 0.0000 Y 3579.734159 0 2.7133 6410 | 16/52
94 h-m-p 1.1262 8.0000 0.0000 ----Y 3579.734159 0 0.0011 6505
Out..
lnL = -3579.734159
6506 lfun, 26024 eigenQcodon, 917346 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -3600.353370 S = -3478.619185 -112.540786
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 245 patterns 16:47
did 20 / 245 patterns 16:47
did 30 / 245 patterns 16:47
did 40 / 245 patterns 16:47
did 50 / 245 patterns 16:47
did 60 / 245 patterns 16:48
did 70 / 245 patterns 16:48
did 80 / 245 patterns 16:48
did 90 / 245 patterns 16:48
did 100 / 245 patterns 16:48
did 110 / 245 patterns 16:48
did 120 / 245 patterns 16:48
did 130 / 245 patterns 16:48
did 140 / 245 patterns 16:48
did 150 / 245 patterns 16:48
did 160 / 245 patterns 16:48
did 170 / 245 patterns 16:48
did 180 / 245 patterns 16:48
did 190 / 245 patterns 16:48
did 200 / 245 patterns 16:48
did 210 / 245 patterns 16:48
did 220 / 245 patterns 16:48
did 230 / 245 patterns 16:48
did 240 / 245 patterns 16:48
did 245 / 245 patterns 16:48end of tree file.
Time used: 16:49
Model 7: beta
TREE # 1
(12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.069526 0.102567 0.037475 0.079970 0.068258 0.034714 0.070873 0.071729 0.055800 0.082783 0.042881 0.082853 0.099056 0.109265 0.032006 0.060684 0.089509 0.092797 0.037232 0.067106 0.078641 0.062435 0.058307 0.049296 0.023020 0.088856 0.022429 0.094741 0.081241 0.080936 0.086992 0.056482 0.079913 0.011134 0.023101 0.109501 0.040870 0.068122 0.059541 0.074201 0.036811 0.010102 0.041871 0.017917 0.017534 0.067236 0.036352 2.477790 0.303826 1.139702
ntime & nrate & np: 47 1 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 10.338858
np = 50
lnL0 = -4799.030976
Iterating by ming2
Initial: fx= 4799.030976
x= 0.06953 0.10257 0.03747 0.07997 0.06826 0.03471 0.07087 0.07173 0.05580 0.08278 0.04288 0.08285 0.09906 0.10926 0.03201 0.06068 0.08951 0.09280 0.03723 0.06711 0.07864 0.06244 0.05831 0.04930 0.02302 0.08886 0.02243 0.09474 0.08124 0.08094 0.08699 0.05648 0.07991 0.01113 0.02310 0.10950 0.04087 0.06812 0.05954 0.07420 0.03681 0.01010 0.04187 0.01792 0.01753 0.06724 0.03635 2.47779 0.30383 1.13970
1 h-m-p 0.0000 0.0000 13410.0189 ++ 4220.840015 m 0.0000 55 | 1/50
2 h-m-p 0.0000 0.0000 1898.2399 ++ 4140.053745 m 0.0000 108 | 2/50
3 h-m-p 0.0000 0.0000 73983003.1862 ++ 4090.556450 m 0.0000 161 | 3/50
4 h-m-p 0.0000 0.0000 19081.6959 ++ 4087.690087 m 0.0000 214 | 4/50
5 h-m-p 0.0000 0.0000 3396.0281 ++ 3935.042019 m 0.0000 267 | 5/50
6 h-m-p 0.0000 0.0000 3644.2889 ++ 3921.885658 m 0.0000 320 | 6/50
7 h-m-p 0.0000 0.0000 7746.1014 ++ 3876.296060 m 0.0000 373 | 7/50
8 h-m-p 0.0000 0.0000 9940.3573 ++ 3851.287186 m 0.0000 426 | 8/50
9 h-m-p 0.0000 0.0000 79124.1908 ++ 3821.751755 m 0.0000 479 | 9/50
10 h-m-p 0.0000 0.0000 51715.2524 ++ 3801.144505 m 0.0000 532 | 10/50
11 h-m-p 0.0000 0.0000 14304.5320 ++ 3793.131472 m 0.0000 585 | 11/50
12 h-m-p 0.0000 0.0000 2425.5978 ++ 3771.507822 m 0.0000 638 | 12/50
13 h-m-p 0.0000 0.0000 3592.8208 ++ 3761.151727 m 0.0000 691 | 13/50
14 h-m-p 0.0000 0.0000 2910.3792 ++ 3732.984457 m 0.0000 744 | 14/50
15 h-m-p 0.0000 0.0000 1724.4650 ++ 3732.835548 m 0.0000 797 | 15/50
16 h-m-p 0.0000 0.0000 556.2308 ++ 3722.278408 m 0.0000 850 | 15/50
17 h-m-p 0.0000 0.0000 2260.9719 +YCYYYYCCCC 3713.773991 9 0.0000 917 | 15/50
18 h-m-p 0.0000 0.0000 3356.2394 +YYYYCYCCC 3708.272787 8 0.0000 982 | 15/50
19 h-m-p 0.0000 0.0000 1056.5431 +YYYCYCCC 3701.845997 7 0.0000 1046 | 15/50
20 h-m-p 0.0000 0.0000 7122.0135 +YYYYC 3699.043409 4 0.0000 1104 | 15/50
21 h-m-p 0.0000 0.0000 6368.7725 +YYCYC 3697.638495 4 0.0000 1163 | 15/50
22 h-m-p 0.0000 0.0000 13063.7956 +CYCCC 3681.985367 4 0.0000 1224 | 15/50
23 h-m-p 0.0000 0.0000 1173.5863 ++ 3670.918165 m 0.0000 1277 | 15/50
24 h-m-p 0.0000 0.0000 5765.3558 YCCC 3669.396841 3 0.0000 1335 | 15/50
25 h-m-p 0.0000 0.0000 1689.6499 +YYYYCC 3667.048599 5 0.0000 1395 | 15/50
26 h-m-p 0.0000 0.0000 3020.1553 +YYYCCC 3664.677437 5 0.0000 1456 | 15/50
27 h-m-p 0.0000 0.0001 678.7107 +YYCCC 3658.188833 4 0.0000 1516 | 15/50
28 h-m-p 0.0000 0.0000 1458.9376 YCYCCC 3656.166541 5 0.0000 1577 | 15/50
29 h-m-p 0.0000 0.0001 877.1027 +YCYCCC 3650.085958 5 0.0000 1639 | 15/50
30 h-m-p 0.0000 0.0000 4171.5361 +YCYCCC 3646.571140 5 0.0000 1701 | 15/50
31 h-m-p 0.0000 0.0000 1466.4516 +YYCYCC 3641.534251 5 0.0000 1762 | 15/50
32 h-m-p 0.0000 0.0000 2768.1021 +YYCCCC 3632.161442 5 0.0000 1824 | 15/50
33 h-m-p 0.0000 0.0001 638.1494 CCCC 3630.167773 3 0.0000 1883 | 15/50
34 h-m-p 0.0000 0.0001 485.1543 CYCCC 3628.505601 4 0.0000 1943 | 15/50
35 h-m-p 0.0000 0.0002 98.9567 YCCCC 3627.819233 4 0.0001 2003 | 15/50
36 h-m-p 0.0000 0.0001 360.2666 +YCCC 3625.476549 3 0.0001 2062 | 15/50
37 h-m-p 0.0000 0.0000 1510.2335 +YCCC 3621.815106 3 0.0000 2121 | 15/50
38 h-m-p 0.0000 0.0001 482.6967 +YYYCCC 3616.670123 5 0.0001 2182 | 15/50
39 h-m-p 0.0000 0.0000 567.1761 +YCYCC 3615.588119 4 0.0000 2242 | 15/50
40 h-m-p 0.0009 0.0093 12.4258 CCC 3614.560570 2 0.0013 2299 | 15/50
41 h-m-p 0.0010 0.0078 16.9148 YCCC 3612.039994 3 0.0015 2357 | 15/50
42 h-m-p 0.0006 0.0083 41.0178 ++ 3602.407120 m 0.0083 2410 | 15/50
43 h-m-p 0.0003 0.0013 255.1962 CCCC 3600.532079 3 0.0003 2469 | 15/50
44 h-m-p 0.0045 0.0226 3.3009 +YYYYCCC 3592.556847 6 0.0173 2531 | 15/50
45 h-m-p 0.0050 0.0251 4.3138 CCCC 3591.682970 3 0.0054 2590 | 15/50
46 h-m-p 0.0135 0.5803 1.7244 +CYCC 3589.968471 3 0.0692 2649 | 15/50
47 h-m-p 0.0506 0.3571 2.3572 YC 3586.717127 1 0.1259 2703 | 15/50
48 h-m-p 0.0124 0.0619 2.7635 YCYCC 3586.141795 4 0.0321 2762 | 15/50
49 h-m-p 0.0275 0.2466 3.2243 +YC 3585.546941 1 0.0694 2817 | 15/50
50 h-m-p 0.4306 2.1531 0.1652 YCCC 3583.541334 3 0.9249 2875 | 15/50
51 h-m-p 0.8826 4.4129 0.0459 YCCC 3583.156898 3 0.5010 2968 | 15/50
52 h-m-p 0.0891 1.8561 0.2580 +CCC 3583.025498 2 0.3643 3061 | 15/50
53 h-m-p 0.4283 2.1416 0.1373 CCC 3582.645647 2 0.4464 3153 | 15/50
54 h-m-p 1.1702 5.8509 0.0178 CCC 3582.295867 2 1.7053 3245 | 15/50
55 h-m-p 1.4046 8.0000 0.0216 CCC 3581.851241 2 1.5004 3337 | 15/50
56 h-m-p 1.1130 8.0000 0.0291 YCC 3581.452879 2 1.7660 3428 | 15/50
57 h-m-p 1.5325 8.0000 0.0336 CCC 3581.208725 2 1.7684 3520 | 15/50
58 h-m-p 1.6000 8.0000 0.0155 CC 3580.988170 1 2.2500 3610 | 15/50
59 h-m-p 1.1711 8.0000 0.0298 +YC 3580.764527 1 3.1834 3700 | 15/50
60 h-m-p 1.6000 8.0000 0.0314 CC 3580.573440 1 2.3227 3790 | 15/50
61 h-m-p 1.6000 8.0000 0.0229 YCC 3580.393744 2 2.8996 3881 | 15/50
62 h-m-p 1.6000 8.0000 0.0032 CC 3580.320447 1 2.2298 3971 | 15/50
63 h-m-p 1.6000 8.0000 0.0021 CC 3580.292104 1 2.1473 4061 | 15/50
64 h-m-p 0.4122 8.0000 0.0108 +YC 3580.268983 1 3.9409 4151 | 15/50
65 h-m-p 1.6000 8.0000 0.0068 +YC 3580.231860 1 4.2944 4241 | 15/50
66 h-m-p 1.5814 8.0000 0.0186 +YC 3580.174345 1 4.0574 4331 | 15/50
67 h-m-p 1.6000 8.0000 0.0107 YC 3580.132325 1 2.6201 4420 | 15/50
68 h-m-p 1.6000 8.0000 0.0048 CC 3580.112192 1 2.3905 4510 | 15/50
69 h-m-p 1.2580 8.0000 0.0091 +YC 3580.095077 1 3.6129 4600 | 15/50
70 h-m-p 1.6000 8.0000 0.0025 YC 3580.075993 1 3.1095 4689 | 15/50
71 h-m-p 0.3196 8.0000 0.0246 ++YC 3580.043628 1 3.5423 4780 | 15/50
72 h-m-p 1.6000 8.0000 0.0218 YC 3579.983478 1 3.8526 4869 | 15/50
73 h-m-p 1.6000 8.0000 0.0373 YC 3579.940181 1 2.6048 4958 | 15/50
74 h-m-p 1.6000 8.0000 0.0122 YC 3579.903033 1 3.6373 5047 | 15/50
75 h-m-p 1.6000 8.0000 0.0066 +YC 3579.873190 1 4.7712 5137 | 15/50
76 h-m-p 1.6000 8.0000 0.0105 CC 3579.852926 1 2.3712 5227 | 15/50
77 h-m-p 1.4386 8.0000 0.0172 +CC 3579.828985 1 5.4773 5318 | 15/50
78 h-m-p 1.6000 8.0000 0.0337 YC 3579.809759 1 2.6270 5407 | 15/50
79 h-m-p 1.6000 8.0000 0.0127 CC 3579.804292 1 1.8221 5497 | 15/50
80 h-m-p 1.6000 8.0000 0.0095 C 3579.803458 0 1.6471 5585 | 15/50
81 h-m-p 1.6000 8.0000 0.0025 C 3579.803112 0 2.2940 5673 | 15/50
82 h-m-p 1.6000 8.0000 0.0024 C 3579.803027 0 1.7934 5761 | 15/50
83 h-m-p 1.6000 8.0000 0.0005 C 3579.803014 0 1.6037 5849 | 15/50
84 h-m-p 1.6000 8.0000 0.0002 C 3579.803014 0 1.5383 5937 | 15/50
85 h-m-p 1.6000 8.0000 0.0000 Y 3579.803013 0 1.1801 6025 | 15/50
86 h-m-p 1.4067 8.0000 0.0000 C 3579.803013 0 1.7277 6113 | 15/50
87 h-m-p 1.6000 8.0000 0.0000 Y 3579.803013 0 2.5616 6201 | 15/50
88 h-m-p 1.6000 8.0000 0.0000 Y 3579.803013 0 1.2550 6289 | 15/50
89 h-m-p 1.6000 8.0000 0.0000 +C 3579.803013 0 5.4927 6378 | 15/50
90 h-m-p 1.4889 8.0000 0.0000 ------Y 3579.803013 0 0.0001 6472
Out..
lnL = -3579.803013
6473 lfun, 71203 eigenQcodon, 3042310 P(t)
end of tree file.
Time used: 43:00
Model 8: beta&w>1
TREE # 1
(12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.016645 0.083382 0.064111 0.082196 0.028397 0.080134 0.085605 0.044614 0.055930 0.047073 0.098351 0.020487 0.019347 0.108058 0.073526 0.013019 0.105021 0.088697 0.039357 0.055163 0.079940 0.012656 0.035066 0.011351 0.094247 0.050600 0.030353 0.087321 0.020386 0.051467 0.096332 0.065251 0.052321 0.060742 0.088875 0.056357 0.063241 0.105439 0.080300 0.038173 0.095205 0.100468 0.050324 0.018677 0.029152 0.106074 0.022245 2.426816 0.900000 0.544662 1.487271 1.300000
ntime & nrate & np: 47 2 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 7.694926
np = 52
lnL0 = -4497.784028
Iterating by ming2
Initial: fx= 4497.784028
x= 0.01665 0.08338 0.06411 0.08220 0.02840 0.08013 0.08560 0.04461 0.05593 0.04707 0.09835 0.02049 0.01935 0.10806 0.07353 0.01302 0.10502 0.08870 0.03936 0.05516 0.07994 0.01266 0.03507 0.01135 0.09425 0.05060 0.03035 0.08732 0.02039 0.05147 0.09633 0.06525 0.05232 0.06074 0.08888 0.05636 0.06324 0.10544 0.08030 0.03817 0.09520 0.10047 0.05032 0.01868 0.02915 0.10607 0.02224 2.42682 0.90000 0.54466 1.48727 1.30000
1 h-m-p 0.0000 0.0000 2852.8056 ++ 4267.454628 m 0.0000 57 | 1/52
2 h-m-p 0.0000 0.0000 2369.6712 ++ 4258.457311 m 0.0000 112 | 2/52
3 h-m-p 0.0000 0.0000 486791.7554 ++ 4207.840244 m 0.0000 167 | 3/52
4 h-m-p 0.0000 0.0000 19319.2126 ++ 4134.585639 m 0.0000 222 | 4/52
5 h-m-p 0.0000 0.0000 63619.2436 ++ 4112.051286 m 0.0000 277 | 5/52
6 h-m-p 0.0000 0.0000 19238.3073 ++ 4041.698955 m 0.0000 332 | 5/52
7 h-m-p 0.0000 0.0000 8166.4497 ++ 3985.269962 m 0.0000 387 | 6/52
8 h-m-p 0.0000 0.0000 17313.6895 ++ 3976.085973 m 0.0000 442 | 7/52
9 h-m-p 0.0000 0.0000 11377.2595 ++ 3960.384660 m 0.0000 497 | 8/52
10 h-m-p 0.0000 0.0000 38751.4153 ++ 3930.070026 m 0.0000 552 | 9/52
11 h-m-p 0.0000 0.0000 62479.4634 ++ 3860.636733 m 0.0000 607 | 10/52
12 h-m-p 0.0000 0.0000 79359.7936 ++ 3856.866446 m 0.0000 662 | 11/52
13 h-m-p 0.0000 0.0000 9319.7419 ++ 3851.046513 m 0.0000 717 | 12/52
14 h-m-p 0.0000 0.0000 3599.2500 ++ 3842.648048 m 0.0000 772 | 13/52
15 h-m-p 0.0000 0.0000 3428.7952 ++ 3835.028866 m 0.0000 827 | 14/52
16 h-m-p 0.0000 0.0000 3027.5460 ++ 3826.574599 m 0.0000 882 | 15/52
17 h-m-p 0.0000 0.0000 973.3735 +CCYC 3805.728561 3 0.0000 944 | 15/52
18 h-m-p 0.0000 0.0000 721.5111 +YYYCCC 3799.661435 5 0.0000 1007 | 15/52
19 h-m-p 0.0000 0.0000 2934.7549 +CYCCC 3794.032134 4 0.0000 1070 | 15/52
20 h-m-p 0.0000 0.0000 15197.9755 YCCCC 3790.056506 4 0.0000 1132 | 15/52
21 h-m-p 0.0000 0.0000 1776.4045 +YCCC 3788.342645 3 0.0000 1193 | 15/52
22 h-m-p 0.0000 0.0000 1205.6621 YCYCCC 3785.034746 5 0.0000 1256 | 15/52
23 h-m-p 0.0000 0.0000 818.4470 +YYYCCC 3779.027168 5 0.0000 1319 | 15/52
24 h-m-p 0.0000 0.0000 1381.5056 +CCC 3776.209640 2 0.0000 1379 | 15/52
25 h-m-p 0.0000 0.0000 3088.9383 +YYCCC 3774.884018 4 0.0000 1441 | 15/52
26 h-m-p 0.0000 0.0000 2103.8646 YCCCCC 3768.314772 5 0.0000 1505 | 15/52
27 h-m-p 0.0000 0.0000 1750.6516 YCCC 3764.008261 3 0.0000 1565 | 15/52
28 h-m-p 0.0000 0.0000 1444.4302 ++ 3748.289040 m 0.0000 1620 | 15/52
29 h-m-p 0.0000 0.0000 2623.1449 +YCYCCC 3741.766974 5 0.0000 1684 | 15/52
30 h-m-p 0.0000 0.0000 2363.1087 +YYYCCC 3727.671779 5 0.0000 1747 | 15/52
31 h-m-p 0.0000 0.0000 8372.6715 +CYCYCCC 3717.832529 6 0.0000 1813 | 15/52
32 h-m-p 0.0000 0.0000 1151.6002 +YYCCC 3716.418350 4 0.0000 1875 | 15/52
33 h-m-p 0.0000 0.0000 3083.2952 +YCYCC 3713.796855 4 0.0000 1937 | 15/52
34 h-m-p 0.0000 0.0000 2433.0587 +YYCCC 3710.803520 4 0.0000 1999 | 15/52
35 h-m-p 0.0000 0.0000 1852.0533 ++ 3707.659533 m 0.0000 2054 | 15/52
36 h-m-p 0.0000 0.0001 1282.9847 CCCCC 3705.257004 4 0.0000 2117 | 15/52
37 h-m-p 0.0000 0.0000 344.6277 +YC 3704.698436 1 0.0000 2174 | 15/52
38 h-m-p 0.0000 0.0001 192.5059 CCCC 3703.992252 3 0.0000 2235 | 15/52
39 h-m-p 0.0000 0.0003 154.5503 +YYCCC 3701.623845 4 0.0001 2297 | 15/52
40 h-m-p 0.0001 0.0006 108.1942 YCCC 3698.574693 3 0.0003 2357 | 15/52
41 h-m-p 0.0000 0.0000 709.6621 +YYCCC 3696.435701 4 0.0000 2419 | 15/52
42 h-m-p 0.0000 0.0000 323.1083 YCCCC 3695.906007 4 0.0000 2481 | 15/52
43 h-m-p 0.0002 0.0011 38.1460 ++ 3694.057354 m 0.0011 2536 | 15/52
44 h-m-p 0.0002 0.0012 88.9452 +YYYCCC 3689.883459 5 0.0009 2599 | 15/52
45 h-m-p 0.0006 0.0028 81.6240 ++ 3684.593439 m 0.0028 2654 | 15/52
46 h-m-p 0.0002 0.0009 340.2496 +CYYCC 3677.349169 4 0.0008 2716 | 15/52
47 h-m-p 0.0000 0.0001 2452.3772 ++ 3670.209391 m 0.0001 2771 | 15/52
48 h-m-p -0.0000 -0.0000 10.9244
h-m-p: -0.00000000e+00 -0.00000000e+00 1.09244236e+01 3670.209391
.. | 15/52
49 h-m-p 0.0000 0.0000 35111.2929 CYCCC 3661.428993 4 0.0000 2886 | 15/52
50 h-m-p 0.0000 0.0000 2756.9496 +YCCCC 3646.857065 4 0.0000 2949 | 16/52
51 h-m-p 0.0000 0.0000 1211.5054 +YCYYCCC 3637.930736 6 0.0000 3014 | 16/52
52 h-m-p 0.0000 0.0000 6388.2193 +YYCCC 3632.936926 4 0.0000 3076 | 16/52
53 h-m-p 0.0000 0.0000 3276.3554 YCCCC 3631.289253 4 0.0000 3138 | 16/52
54 h-m-p 0.0000 0.0001 2043.3722 YCCC 3618.660394 3 0.0000 3198 | 16/52
55 h-m-p 0.0000 0.0000 1524.0318 +YYYCCC 3613.829067 5 0.0000 3261 | 16/52
56 h-m-p 0.0000 0.0000 1651.1291 +YYCCC 3611.263156 4 0.0000 3323 | 16/52
57 h-m-p 0.0000 0.0000 2655.0581 +YYCCC 3609.855199 4 0.0000 3385 | 16/52
58 h-m-p 0.0000 0.0000 5122.8876 +YCCCC 3604.490605 4 0.0000 3448 | 16/52
59 h-m-p 0.0000 0.0000 1797.6634 +YYYYCC 3599.233401 5 0.0000 3510 | 16/52
60 h-m-p 0.0000 0.0000 2893.0963 +YYYCC 3595.757426 4 0.0000 3571 | 16/52
61 h-m-p 0.0000 0.0000 2402.3671 YCCC 3590.033165 3 0.0000 3631 | 16/52
62 h-m-p 0.0000 0.0000 576.5444 YCCCC 3589.276142 4 0.0000 3693 | 16/52
63 h-m-p 0.0000 0.0000 402.8453 CC 3588.855881 1 0.0000 3750 | 16/52
64 h-m-p 0.0000 0.0000 434.0956 YCCCC 3588.424008 4 0.0000 3812 | 16/52
65 h-m-p 0.0000 0.0001 331.9012 CCCC 3587.960542 3 0.0000 3873 | 16/52
66 h-m-p 0.0000 0.0001 325.1236 YCCC 3587.870038 3 0.0000 3933 | 16/52
67 h-m-p 0.0000 0.0002 74.5494 CCC 3587.806209 2 0.0000 3992 | 16/52
68 h-m-p 0.0000 0.0002 128.7491 CCC 3587.762381 2 0.0000 4051 | 16/52
69 h-m-p 0.0000 0.0004 74.6671 C 3587.728053 0 0.0000 4106 | 16/52
70 h-m-p 0.0001 0.0027 34.4773 CC 3587.700377 1 0.0001 4163 | 16/52
71 h-m-p 0.0001 0.0003 51.1215 YC 3587.689801 1 0.0000 4219 | 16/52
72 h-m-p 0.0000 0.0005 61.0802 YC 3587.668598 1 0.0000 4275 | 16/52
73 h-m-p 0.0000 0.0002 91.8944 YC 3587.634133 1 0.0001 4331 | 16/52
74 h-m-p 0.0000 0.0001 63.1504 CC 3587.621505 1 0.0000 4388 | 16/52
75 h-m-p 0.0001 0.0003 14.4905 CC 3587.617620 1 0.0001 4445 | 16/52
76 h-m-p 0.0002 0.0014 3.5310 CC 3587.616746 1 0.0001 4502 | 16/52
77 h-m-p 0.0000 0.0009 8.9641 +C 3587.613265 0 0.0001 4558 | 16/52
78 h-m-p 0.0000 0.0008 30.1312 +YC 3587.604190 1 0.0001 4615 | 16/52
79 h-m-p 0.0000 0.0019 138.3100 ++++ 3586.575350 m 0.0019 4672 | 16/52
80 h-m-p 0.0000 0.0000 2234.1937
h-m-p: 0.00000000e+00 0.00000000e+00 2.23419365e+03 3586.575350
.. | 16/52
81 h-m-p 0.0000 0.0000 567.1698 YCYCCC 3584.996569 5 0.0000 4787 | 16/52
82 h-m-p 0.0000 0.0000 489.8536 YCYCCC 3584.509745 5 0.0000 4850 | 16/52
83 h-m-p 0.0000 0.0003 306.0236 +CYC 3583.525303 2 0.0000 4909 | 16/52
84 h-m-p 0.0000 0.0000 336.0418 CCC 3583.363059 2 0.0000 4968 | 16/52
85 h-m-p 0.0000 0.0001 172.4660 YCCC 3583.148014 3 0.0000 5028 | 16/52
86 h-m-p 0.0000 0.0001 657.8256 CYC 3582.887627 2 0.0000 5086 | 16/52
87 h-m-p 0.0000 0.0002 207.3129 CCC 3582.553492 2 0.0000 5145 | 16/52
88 h-m-p 0.0000 0.0001 1033.1433 CCC 3582.264554 2 0.0000 5204 | 16/52
89 h-m-p 0.0000 0.0001 633.0602 +YCCC 3581.418170 3 0.0000 5265 | 16/52
90 h-m-p 0.0000 0.0000 1820.1934 CCC 3581.013607 2 0.0000 5324 | 16/52
91 h-m-p 0.0000 0.0000 617.0035 CCC 3580.847284 2 0.0000 5383 | 16/52
92 h-m-p 0.0000 0.0001 308.0685 YCC 3580.746304 2 0.0000 5441 | 16/52
93 h-m-p 0.0000 0.0001 321.4574 YCC 3580.563194 2 0.0000 5499 | 16/52
94 h-m-p 0.0000 0.0001 231.7806 CCCC 3580.356307 3 0.0000 5560 | 16/52
95 h-m-p 0.0000 0.0000 1171.6144 YCC 3580.206100 2 0.0000 5618 | 16/52
96 h-m-p 0.0000 0.0001 93.0721 YC 3580.186460 1 0.0000 5674 | 16/52
97 h-m-p 0.0000 0.0003 147.0261 YC 3580.149396 1 0.0000 5730 | 16/52
98 h-m-p 0.0000 0.0002 52.0346 CC 3580.141896 1 0.0000 5787 | 16/52
99 h-m-p 0.0000 0.0006 94.6295 YC 3580.121186 1 0.0000 5843 | 16/52
100 h-m-p 0.0001 0.0004 19.0882 YC 3580.119613 1 0.0000 5899 | 16/52
101 h-m-p 0.0000 0.0007 27.6974 C 3580.118402 0 0.0000 5954 | 16/52
102 h-m-p 0.0000 0.0041 6.4266 C 3580.117822 0 0.0000 6009 | 16/52
103 h-m-p 0.0000 0.0014 10.2200 C 3580.117642 0 0.0000 6064 | 16/52
104 h-m-p 0.0000 0.0083 13.4683 +YC 3580.115218 1 0.0001 6121 | 16/52
105 h-m-p 0.0001 0.0042 16.9853 YC 3580.113674 1 0.0001 6177 | 16/52
106 h-m-p 0.0000 0.0005 36.5406 C 3580.113295 0 0.0000 6232 | 16/52
107 h-m-p 0.0000 0.0062 24.2306 +C 3580.111619 0 0.0000 6288 | 16/52
108 h-m-p 0.0001 0.0036 10.7620 C 3580.111253 0 0.0000 6343 | 16/52
109 h-m-p 0.0001 0.0047 4.3372 CC 3580.110823 1 0.0001 6400 | 16/52
110 h-m-p 0.0001 0.0042 7.3513 +YC 3580.109760 1 0.0002 6457 | 16/52
111 h-m-p 0.0001 0.0044 24.3317 +CC 3580.105116 1 0.0002 6515 | 16/52
112 h-m-p 0.0000 0.0024 145.9156 YC 3580.096304 1 0.0001 6571 | 16/52
113 h-m-p 0.0000 0.0081 345.7241 ++YCC 3579.998867 2 0.0004 6631 | 16/52
114 h-m-p 0.0004 0.0120 279.5219 -C 3579.992990 0 0.0000 6687 | 16/52
115 h-m-p 0.0188 0.0942 0.4079 ---Y 3579.992984 0 0.0000 6745 | 16/52
116 h-m-p 0.0016 0.8208 0.5350 ++++YC 3579.864307 1 0.5634 6841 | 16/52
117 h-m-p 0.0486 0.2428 0.3809 ++ 3579.839867 m 0.2428 6932 | 17/52
118 h-m-p 0.1127 2.3849 0.8202 CCC 3579.827832 2 0.1386 7027 | 17/52
119 h-m-p 1.1847 8.0000 0.0959 YC 3579.806295 1 0.6439 7118 | 17/52
120 h-m-p 1.6000 8.0000 0.0039 YC 3579.803469 1 1.1881 7209 | 17/52
121 h-m-p 1.4357 8.0000 0.0033 YC 3579.803213 1 0.7971 7300 | 17/52
122 h-m-p 1.6000 8.0000 0.0014 Y 3579.803194 0 0.9525 7390 | 17/52
123 h-m-p 1.6000 8.0000 0.0005 Y 3579.803193 0 0.9996 7480 | 17/52
124 h-m-p 1.6000 8.0000 0.0001 Y 3579.803193 0 3.4197 7570 | 17/52
125 h-m-p 1.4525 8.0000 0.0002 -C 3579.803193 0 0.1219 7661 | 17/52
126 h-m-p 0.1380 8.0000 0.0002 Y 3579.803193 0 0.0221 7751 | 17/52
127 h-m-p 0.0228 8.0000 0.0001 C 3579.803193 0 0.0053 7841 | 17/52
128 h-m-p 0.0160 8.0000 0.0002 C 3579.803193 0 0.0160 7931 | 17/52
129 h-m-p 0.0168 8.0000 0.0001 -------------.. | 17/52
130 h-m-p 0.0002 0.1231 0.1090 ---------- | 17/52
131 h-m-p 0.0002 0.1231 0.1090 ----------
Out..
lnL = -3579.803193
8229 lfun, 98748 eigenQcodon, 4254393 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -3612.037440 S = -3479.989862 -130.275172
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 245 patterns 1:19:39
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did 245 / 245 patterns 1:19:43end of tree file.
Time used: 1:19:44
The loglikelihoods for models M1, M2, M7 and M8 are -3579.734159 -3579.734159 -3579.803013 -3579.803193 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 CTTNLFKDCSKSYVGYHPAHAPSFLAVDEKYKVNGDLAVCLGVGDSSVTYSRLISLMGFK
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 CSTNLFKDCSKNYSGYHPAHAPSFLAVDDKYKATGDLAVCLGISDSAVTYSRLISLMGFK
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSSVTYSRLISLMGFK
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFK
*:*********.* **************:***..********:.**:*************
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 LDLTLEGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDNIGTNFPLQLGFSTGIDFVVEA
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEA
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 LDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEA
**:**:****************************** *.*********************
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 TGLFSERDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFSDHLVDLSDSV
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIIQMFADHLIDLSDCV
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 TGLFADRDGYSFKKAAAKAPPGEQFKHLIPLMMRGQRWDVVRPRIVQMFADHLIDLSDCV
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIIQMFADHLIDLSDCV
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCV
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 TGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCV
****::*********.**************** **:*********:***:***:****.*
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 VLVTWAASFELTCLRYFVKLGKETCCNVCTNRATVYNSRTGYYGCWRHSVSCDYLYNPLI
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREICCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLI
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 VLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLI
*******.*********.*:*:* .*****:***.***************:*********
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 VDIQQWGYSGSLSSNHDMYCSIHKGAHIASSDAIMTRCLAIYDCFCNNINWNVEYPIISN
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 VDIQQWGYTGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 VDIQQWGYTGSLSSNHDLYCSIHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 VDIQQWGYTGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 VDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISN
******** ********:***:*****:************:*******************
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 ELSINSSCRTLQRVMLKAAMLCNRYSLCYDIGNPKAIACIKGYDFKFYDSQPIVKSVKTL
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYSLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 ELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTL
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 ELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTL
*****:***.****:**********:*********.***:*.:******:**********
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 VYSYEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 LYSFEAHKDFFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 LYFFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSSYVNKHAF
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 LYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAF
:* :***** ****************************************** *******
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 HTKPFFRAAFEHLKPMPFFYYSDTPCVYMDGMDVKQVDYVPLKSATCITRCNLGGAVCLK
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 HTNPFSRAAFEYLKPMPFFYYSDTPCVYMDGMDNKQVDYVPLKSATCITRCNLGGAVCLK
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 HTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 HTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 HTKPFVRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDVKQVDYVPLKSATCITRCNLGGAVCLK
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 HTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 HTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 HTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLK
**:** *****:********************* **************************
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 HAEDYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 HAEEYRECLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 HAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
***:*** *********************************
>TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAAGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTTTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGACGGCATGGATGTTAAACAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTATCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCTACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 TGTACTACTAATTTATTTAAAGATTGTAGCAAGAGCTATGTTGGCTACCATCCAGCTCATGCTCCTTCGTTTTTAGCAGTGGATGAAAAGTACAAGGTTAATGGTGATTTGGCTGTTTGCCTTGGAGTAGGTGATTCCTCTGTAACATATTCAAGACTAATATCACTCATGGGTTTTAAGTTAGATTTGACACTTGAGGGATATTGTAAGTTATTTATTACTAAAGAAGAGGCTGTCAAACGTGTTAGAGCATGGGTTGGGTTCGATGCTGAAGGCGCTCATGCTACGCGTGACAACATAGGGACTAACTTCCCACTTCAATTAGGGTTTTCCACTGGAATTGATTTTGTAGTGGAAGCCACTGGTTTGTTCTCTGAGAGAGATGGTTACAGTTTTAAAAAGGCTGTGGCGAAAGCTCCACCAGGCGAACAATTTAAGCACCTTATCCCTTTGATGACTAGAGGTCAGAGATGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTTCAGATCATTTAGTTGATCTGTCTGATAGCGTTGTACTTGTTACATGGGCTGCCAGCTTTGAGCTCACTTGTCTCCGATACTTTGTTAAGTTAGGTAAGGAGACTTGTTGTAATGTGTGTACTAACCGTGCCACAGTTTATAATTCTAGAACTGGTTACTATGGCTGCTGGCGTCATAGTGTTTCGTGTGATTACTTATACAACCCACTTATTGTTGATATTCAACAGTGGGGCTATTCAGGCTCTTTGTCAAGTAATCATGATATGTATTGTAGCATCCATAAAGGGGCTCATATTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCATTTATGATTGTTTTTGCAATAATATAAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATTCCTCTTGTAGGACGTTGCAGCGTGTTATGCTTAAAGCAGCAATGCTTTGCAACAGGTATAGTTTGTGCTACGATATAGGCAATCCAAAGGCGATTGCTTGTATCAAAGGCTATGATTTTAAGTTTTATGATTCTCAACCAATTGTTAAGTCTGTTAAGACTTTGGTTTATTCTTATGAGGCACATAAAGACAGTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGCAATGTAGATAAGTATCCACCTAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAACAATTTAAATCTGCCTGGCTGTAATGGTGGAAGTTTGTATGTTAATAAACATGCATTCCACACCAATCCCTTTTCTAGGGCAGCCTTTGAATATTTAAAGCCTATGCCATTTTTTTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGACAATAAGCAGGTTGATTATGTACCTTTGAAATCCGCTACCTGCATCACTAGATGTAATTTAGGTGGCGCTGTTTGTCTAAAACATGCTGAAGAGTATCGTGAATACCTTGAATCTTATAACACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACCTTTGATTTTTATAATTTGTGGAACACATTCACCAAGCTACAA >DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTATCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCCCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGGCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCCGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGTATTTGAAGCCTATGCCATTCTTTTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAATACCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTTTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGACGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAATACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAACTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATACTGGATCTTTATCAAGTAATCACGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTAGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCTATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCCGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGTATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGTTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTATCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGAGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGTATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGCCTCCGCTACTTTGCAAAAGTGGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTATAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCCGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTTAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGCATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTTTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAATTATAGTGGTTACCATCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTAGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTGGATGTTACCCTTGACGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCCACAGGAATTGATTTTGTTGTGGAAGCTACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGCGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGATGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACGTGGGCTGCCAACTTTGAGCTCACATGTCTCCGTTACTTTGCAAAAGTTGGACGTGAGATTTGTTGTAATGTGTGCACTAAACGTGCCACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATACTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGCATCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAACATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTGATGCTTAAAGCTGCCATGCTCTGCAATAGGTATAGTTTGTGTTATGATATTGGCAATCCTAAAGCGATTGCCTGTGTCAAAGATTTTGATTTCAAGTTCTATGACGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCATTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGCAATGTGGATAAGTATCCGCCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGGGGTAGTTTGTATGTTAATAAGCATGCATTCCACACCAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACGTGCATCACTAGATGCAATTTAGGTGGCGCAGTTTGTTTGAAACATGCTGAAGAGTATCGTGAGTACCTTGAGTCTTACAATACAGCTACTACAGCAGGTTTTACCTTTTGGGTCTATAAGACATTTGATTTTTACAATTTGTGGAATACATTCACCAAGCTACAA >4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGATAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTTATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATAGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCCTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGATTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGCTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGATAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCTATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCTCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAAGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGACGGCATGGATGTTAAACAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTGGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGACTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCATGCTCCCTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCAGTGTGTCTTGGTATTGGAGATTCTTCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTTCGTGCTTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTACAATTAGGCTTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCCAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTTCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTTTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTCTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTTTTGCAGCGTGTTATGCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGACTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGCAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAACAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTCTGAAATCTGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGACGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAATACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAACTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATACTGGATCTTTATCAAGTAATCACGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTAGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCTATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTATCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGTATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGCCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTATAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTTTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGCTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTCGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTTTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTATAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCACGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTTGATGTCACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGCGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCTACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGCTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGTTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGATACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGATCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCACAAAGGAGCACATGTTGCTTCATCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATTATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCAATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTCGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTTTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACCTAGAGTCTTATAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTATCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGTATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGCCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTATAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTTAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTTTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTATAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGTATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 TGTAGTACCAATTTATTTAAAGATTGTAGCAAGAGTTATAGTGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGTATTGGAGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAACTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCTTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCGTGATAGCATTGGGACAAATTTCCCACTTCAATTAGGGTTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCTAAAGCTCCTCCTGGTGAACAATTTAAGCATCTCATCCCTTTGATGACGAGAGGTCAGCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATCTCTTGTAATGTGTGCACTAAACGTGCCACAGCTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCCTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGTTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGGGTCTTGCAGCGTGTTATGCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAATCCAAAAGCGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTCAAGACTCTTTTGTATTTTTTTGAGGCACATAAGGACTCTTTTAAAGATGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACGAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTCGTATGTTAACAAACATGCATTCCACACTAAACCCTTTTCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTTTTCTATTATTCAGATACGCCTTGCGTGTATATGGATGGCATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCCGCCACTTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTGCCTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA >5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 TGTAGTACTAATTTATTTAAAGATTGTAGCAAGAGTTATAGCGGTTACCACCCAGCTCATGCTCCTTCATTTTTGGCAGTAGATGACAAATATAAGGCAACTGGCGATTTAGCCGTGTGTCTTGGCATTGGTGATTCTGCTGTTACATATTCAAGATTAATATCACTCATGGGTTTTAAATTGGATGTTACCCTTGATGGGTATTGTAAGCTTTTTATAACTAAAGAAGAAGCTGTTAAACGCGTGCGTGCCTGGGTTGGCTTTGATGCTGAAGGTGCTCATGCCACGCTTGATAGCATTGGGACAAATTTCCCACTCCAATTAGGATTTTCCACAGGAATTGATTTTGTTGTGGAAGCCACTGGTTTGTTTGCTGATAGAGATGGTTACAGCTTTAAAAAGGCTGTGGCGAAAGCTCCTCCTGGTGAACAATTTAAGCACCTCATCCCTTTGATGACGAGAGGTCATCGCTGGGATGTTGTTAGACCTAGAATAGTACAAATGTTTGCAGATCATTTAATTGATCTGTCTGATTGTGTTGTGCTAGTTACATGGGCAGCCAACTTTGAGCTCACTTGTCTCCGCTACTTTGCAAAAGTAGGTCGTGAGATTTCTTGTAATGTATGCACTAAACGTGCTACAGTTTACAATTCTAGAACTGGTTACTATGGTTGTTGGCGCCATAGTGTTACATGTGATTACTTGTATAATCCACTTATTGTTGATATTCAACAGTGGGGATATATTGGTTCTTTATCAAGTAATCATGATTTATATTGTAGTGTCCATAAAGGAGCACATGTTGCTTCCTCTGATGCTATAATGACACGGTGTTTGGCCGTTTATGATTGCTTTTGCAATAATATTAATTGGAATGTGGAGTATCCCATCATTTCAAATGAGTTAAGTATTAATACCTCTTGTAGAGTCTTGCAGCGTGTGATTCTTAAAGCTGCCATGCTCTGCAACAGATATACTTTGTGTTATGATATTGGCAACCCAAAAGGGATTGCCTGTGTCAAAGATTTTGATTTTAAGTTCTATGATGCCCAACCAATTGTTAAGTCTGTTAAGACTCTTTTGTATTCTTTTGAGGCACATAAGGACTCTTTTAAAGACGGTTTGTGTATGTTTTGGAACTGTAATGTGGATAAGTATCCACCGAATGCAGTTGTATGTAGATTTGACACTAGAGTGTTGAATAATTTAAATCTTCCTGGCTGTAATGGAGGTAGTTTGTATGTTAATAAACATGCATTCCACACTAAACCCTTTGCTAGGGCAGCCTTTGAGCATTTGAAGCCTATGCCATTCTTCTATTATTCAGATACGCCTTGTGTGTATATGGATGGTATGGATGCTAAGCAGGTTGATTATGTACCTTTGAAATCTGCCACGTGCATCACAAGATGCAATTTAGGTGGTGCAGTTTGTTTAAAACATGCTGAAGAGTATCGTGAGTACTTAGAGTCTTACAATACAGCTACTACAGCAGGTTTTACTTTTTGGGTCTATAAGACATTTGATTTTTATAATTTGTGGAATACGTTCACCAAGCTACAA
>TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFFRAAFEHLKPMPFFYYSDTPCVYMDGMDVKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1 CTTNLFKDCSKSYVGYHPAHAPSFLAVDEKYKVNGDLAVCLGVGDSSVTYSRLISLMGFKLDLTLEGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDNIGTNFPLQLGFSTGIDFVVEATGLFSERDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFSDHLVDLSDSVVLVTWAASFELTCLRYFVKLGKETCCNVCTNRATVYNSRTGYYGCWRHSVSCDYLYNPLIVDIQQWGYSGSLSSNHDMYCSIHKGAHIASSDAIMTRCLAIYDCFCNNINWNVEYPIISNELSINSSCRTLQRVMLKAAMLCNRYSLCYDIGNPKAIACIKGYDFKFYDSQPIVKSVKTLVYSYEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTNPFSRAAFEYLKPMPFFYYSDTPCVYMDGMDNKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDFFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIIQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYTGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFVRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1 CSTNLFKDCSKNYSGYHPAHAPSFLAVDDKYKATGDLAVCLGISDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAAAKAPPGEQFKHLIPLMMRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREICCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYTGSLSSNHDLYCSIHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYSLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEDYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDVKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSSVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIIQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYTGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEYLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATRDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGQRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATAYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVMLKAAMLCNRYTLCYDIGNPKAIACVKDFDFKFYDAQPIVKSVKTLLYFFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSSYVNKHAFHTKPFSRAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYRECLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ >5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1 CSTNLFKDCSKSYSGYHPAHAPSFLAVDDKYKATGDLAVCLGIGDSAVTYSRLISLMGFKLDVTLDGYCKLFITKEEAVKRVRAWVGFDAEGAHATLDSIGTNFPLQLGFSTGIDFVVEATGLFADRDGYSFKKAVAKAPPGEQFKHLIPLMTRGHRWDVVRPRIVQMFADHLIDLSDCVVLVTWAANFELTCLRYFAKVGREISCNVCTKRATVYNSRTGYYGCWRHSVTCDYLYNPLIVDIQQWGYIGSLSSNHDLYCSVHKGAHVASSDAIMTRCLAVYDCFCNNINWNVEYPIISNELSINTSCRVLQRVILKAAMLCNRYTLCYDIGNPKGIACVKDFDFKFYDAQPIVKSVKTLLYSFEAHKDSFKDGLCMFWNCNVDKYPPNAVVCRFDTRVLNNLNLPGCNGGSLYVNKHAFHTKPFARAAFEHLKPMPFFYYSDTPCVYMDGMDAKQVDYVPLKSATCITRCNLGGAVCLKHAEEYREYLESYNTATTAGFTFWVYKTFDFYNLWNTFTKLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1563
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.6%
Found 87 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 4
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 174 polymorphic sites
**p-Value(s)**
----------
NSS: 3.89e-01 (1000 permutations)
Max Chi^2: 1.70e-01 (1000 permutations)
PHI (Permutation): 4.50e-02 (1000 permutations)
PHI (Normal): 4.38e-02
#NEXUS
[ID: 8675493753]
begin taxa;
dimensions ntax=30;
taxlabels
OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1
YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1
MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1
SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1
TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1
69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1
3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1
3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1
BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1
10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1
5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1
OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1
TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1
SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1
DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1
Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1
IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1
CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1
4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1
IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1
1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1
IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1
IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1
5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1
K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_Betacoronavirus_1
;
end;
begin trees;
translate
1 OC43_human_USA_991_19_1999_nsp11_VIPR_ALG4_530802270_17891_19453_1_1999_01_15_USA_Human_Betacoronavirus_1,
2 YC_55_nsp11_VIPR_ALG4_AXX83348_1_17813_19375_1_2015_03_12_China_Unknown_Betacoronavirus_1,
3 HCoV_OC43_Seattle_USA_SC2476_2015_nsp11_VIPR_ALG4_ARK08667_1_17871_19433_1_2015_USA_Human_Betacoronavirus_1,
4 MY_U413_12_nsp11_VIPR_ALG4_AQN78677_1_17909_19471_1_2012_05_02_Malaysia_Human_Betacoronavirus_1,
5 SHG_4_nsp11_VIPR_ALG4_BBM61224_1_17886_19448_1_2015_10_Japan_Unknown_Betacoronavirus_1,
6 TCG_6_nsp11_VIPR_ALG4_BBM61374_1_17886_19448_1_2007_12_Japan_Unknown_Betacoronavirus_1,
7 69A_2007_nsp11_VIPR_ALG4_701216862_17909_19471_1_2007_05_China_Human_Betacoronavirus_1,
8 3074A_2012_nsp11_VIPR_ALG4_701216687_17909_19471_1_2012_02_China_Human_Betacoronavirus_1,
9 3269A_2012_nsp11_VIPR_ALG4_701216694_17909_19471_1_2012_06_China_Human_Betacoronavirus_1,
10 BJ_164_nsp11_VIPR_ALG4_AXX83306_1_17821_19383_1_2015_06_09_China_Unknown_Betacoronavirus_1,
11 10574_2010_nsp11_VIPR_ALG4_701216890_17909_19471_1_2010_09_China_Human_Betacoronavirus_1,
12 5240_2007_nsp11_VIPR_ALG4_701216652_17909_19471_1_2007_05_China_Human_Betacoronavirus_1,
13 OC43_human_USA_851_15_1985_nsp11_VIPR_ALG4_530802161_17890_19452_1_1985_01_08_USA_Human_Betacoronavirus_1,
14 TCG_2_nsp11_VIPR_ALG4_BBM61284_1_17861_19423_1_2006_12_Japan_Unknown_Betacoronavirus_1,
15 OC43_human_USA_901_54_1990_nsp11_VIPR_ALG4_530802467_17890_19452_1_1990_01_23_USA_Human_Betacoronavirus_1,
16 SHG_1_nsp11_VIPR_ALG4_BBM61194_1_17877_19439_1_2014_09_Japan_Unknown_Betacoronavirus_1,
17 DB2_nsp11_VIPR_ALG4_331264482_17895_19457_1_1983_NA_Cattle_Betacoronavirus_1,
18 Tokachi09_nsp11_VIPR_ALG4_914047551_18010_19572_1_2009_Japan_Horse_Betacoronavirus_1,
19 HCoV_OC43_Seattle_USA_SC9428_2018_nsp11_VIPR_ALG4_QEG03800_1_17871_19433_1_2019_USA_Human_Betacoronavirus_1,
20 IWT_17_nsp11_VIPR_ALG4_BBM61124_1_17879_19441_1_2016_11_Japan_Unknown_Betacoronavirus_1,
21 CC14_nsp11_VIPR_ALG4_AVV64331_1_17907_19469_1_2014_03_China_Swine_Betacoronavirus_1,
22 4_17_25_nsp11_VIPR_ALG4_AVZ61106_1_17910_19472_1_2017_04_USA_Cattle_Betacoronavirus_1,
23 IWT_24_nsp11_VIPR_ALG4_BBM61154_1_17886_19448_1_2017_01_Japan_Unknown_Betacoronavirus_1,
24 DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp11_VIPR_ALG4_QEY10654_1_17900_19462_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1,
25 1783A_10_nsp11_VIPR_ALG4_744516694_17909_19471_1_2010_01_China_Human_Betacoronavirus_1,
26 IWT_4_nsp11_VIPR_ALG4_BBM60974_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1,
27 IWT_3_nsp11_VIPR_ALG4_BBM60964_1_17886_19448_1_2011_06_Japan_Unknown_Betacoronavirus_1,
28 5617_2007_nsp11_VIPR_ALG4_701216855_17909_19471_1_2007_07_China_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC2269_2016_nsp11_VIPR_ALG4_ARA15417_1_17871_19433_1_2016_USA_Human_Betacoronavirus_1,
30 K37_nsp11_VIPR_ALG4_414005800_17910_19472_1_2008_South_Korea_Dog_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 = (1:1.258992e-03,7:5.140193e-04,11:1.258427e-03,12:5.317190e-04,19:5.330768e-04,28:1.276363e-03,29:5.245704e-04,(4:5.440718e-04,(((((((((5:3.586502e-03,16:1.242351e-03)0.999:3.569561e-03,6:1.290138e-03,14:5.210143e-04,(20:5.040189e-04,23:4.914336e-04)1.000:6.517302e-03)0.775:1.365873e-03,(26:5.259075e-04,27:5.149849e-04)0.997:5.757240e-03)0.733:1.245693e-03,22:5.187665e-03)0.912:3.543622e-03,17:5.187234e-04)0.762:4.568421e-03,24:1.443110e-02)0.581:2.127348e-03,30:4.570636e-03)0.648:6.991896e-03,(18:2.182246e-01,21:2.379473e-02)0.640:1.358590e-02)1.000:1.402495e-02,13:6.516941e-03)1.000:4.553211e-03,9:5.396822e-04)0.846:1.228693e-03,(((3:3.510144e-03,25:5.263459e-04)0.975:1.279219e-03,8:5.077439e-04)1.000:3.654709e-03,15:7.070932e-04)0.720:1.262495e-03,(2:1.578399e-03,10:1.451859e-03)0.554:1.281745e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.258992e-03,7:5.140193e-04,11:1.258427e-03,12:5.317190e-04,19:5.330768e-04,28:1.276363e-03,29:5.245704e-04,(4:5.440718e-04,(((((((((5:3.586502e-03,16:1.242351e-03):3.569561e-03,6:1.290138e-03,14:5.210143e-04,(20:5.040189e-04,23:4.914336e-04):6.517302e-03):1.365873e-03,(26:5.259075e-04,27:5.149849e-04):5.757240e-03):1.245693e-03,22:5.187665e-03):3.543622e-03,17:5.187234e-04):4.568421e-03,24:1.443110e-02):2.127348e-03,30:4.570636e-03):6.991896e-03,(18:2.182246e-01,21:2.379473e-02):1.358590e-02):1.402495e-02,13:6.516941e-03):4.553211e-03,9:5.396822e-04):1.228693e-03,(((3:3.510144e-03,25:5.263459e-04):1.279219e-03,8:5.077439e-04):3.654709e-03,15:7.070932e-04):1.262495e-03,(2:1.578399e-03,10:1.451859e-03):1.281745e-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 -3808.64 -3845.83
2 -3811.56 -3852.33
--------------------------------------
TOTAL -3809.28 -3851.64
--------------------------------------
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} 0.392014 0.001590 0.311744 0.466401 0.389694 423.26 430.30 1.001
r(A<->C){all} 0.065707 0.000465 0.024799 0.107462 0.063763 730.30 776.87 1.000
r(A<->G){all} 0.171306 0.000755 0.121753 0.226377 0.170048 821.44 878.08 1.000
r(A<->T){all} 0.083007 0.000256 0.053667 0.115133 0.082193 1000.79 1042.02 1.000
r(C<->G){all} 0.033876 0.000250 0.005025 0.063975 0.032112 643.78 787.02 1.001
r(C<->T){all} 0.578472 0.001519 0.503451 0.652212 0.578186 641.45 724.40 1.000
r(G<->T){all} 0.067632 0.000211 0.039870 0.094991 0.066977 994.55 1062.13 1.000
pi(A){all} 0.266325 0.000118 0.245776 0.288149 0.266408 1058.99 1068.60 1.001
pi(C){all} 0.161294 0.000075 0.144281 0.177536 0.161182 808.61 964.79 1.000
pi(G){all} 0.218568 0.000100 0.197612 0.236867 0.218770 1109.76 1135.35 1.000
pi(T){all} 0.353813 0.000130 0.332583 0.376223 0.353628 981.11 1117.51 1.001
alpha{1,2} 0.083318 0.001768 0.000440 0.147564 0.087838 947.66 985.46 1.001
alpha{3} 3.729668 2.312053 1.213511 6.599697 3.472047 1038.42 1206.78 1.000
pinvar{all} 0.359155 0.004575 0.226703 0.483333 0.361669 645.19 795.71 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp11_VIPR_ALG4_QEY10630_1_17900_19462_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 521
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 27 28 26 26 25 27 | Ser TCT 13 12 12 12 12 13 | Tyr TAT 23 23 24 23 25 23 | Cys TGT 21 21 20 20 19 20
TTC 5 5 6 6 5 5 | TCC 1 1 2 2 4 1 | TAC 8 8 7 8 9 8 | TGC 5 5 6 6 7 6
Leu TTA 12 12 12 12 12 11 | TCA 7 7 6 6 8 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 14 14 15 15 14 14 | TCG 0 0 0 0 2 0 | TAG 0 0 0 0 0 0 | Trp TGG 9 9 9 9 9 9
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 9 9 8 8 9 9 | Pro CCT 9 9 9 9 8 9 | His CAT 10 10 12 12 11 11 | Arg CGT 6 6 5 5 6 6
CTC 5 5 6 6 3 5 | CCC 2 2 2 2 2 2 | CAC 4 4 3 3 2 3 | CGC 3 3 4 4 0 3
CTA 2 2 2 2 3 3 | CCA 7 7 7 7 9 7 | Gln CAA 6 6 6 6 6 6 | CGA 1 1 0 0 1 1
CTG 1 1 1 1 2 1 | CCG 1 1 1 1 0 1 | CAG 4 4 3 3 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 14 15 15 10 13 | Thr ACT 12 12 13 13 15 12 | Asn AAT 23 23 23 23 22 23 | Ser AGT 8 8 7 7 7 8
ATC 3 3 3 3 5 4 | ACC 4 4 3 3 4 4 | AAC 4 4 4 4 9 4 | AGC 3 3 4 4 5 3
ATA 4 4 4 4 6 4 | ACA 11 11 11 11 8 11 | Lys AAA 18 19 18 18 13 18 | Arg AGA 10 10 11 11 11 10
Met ATG 10 10 9 9 11 10 | ACG 5 5 5 5 4 5 | AAG 14 13 14 14 18 14 | AGG 2 2 1 1 3 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 18 19 20 20 22 18 | Ala GCT 18 17 17 18 18 18 | Asp GAT 31 30 30 30 26 31 | Gly GGT 15 15 18 18 12 17
GTC 6 6 4 4 2 6 | GCC 10 10 11 10 5 10 | GAC 3 4 4 4 4 3 | GGC 6 6 5 5 11 5
GTA 5 5 6 6 8 5 | GCA 13 13 12 12 9 13 | Glu GAA 6 7 6 6 9 6 | GGA 6 6 5 5 4 5
GTG 10 10 10 10 7 10 | GCG 1 1 1 1 2 1 | GAG 9 8 9 9 9 9 | GGG 3 3 3 3 4 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 26 27 27 27 26 26 | Ser TCT 12 12 11 13 11 12 | Tyr TAT 23 24 23 23 24 23 | Cys TGT 20 20 20 21 20 20
TTC 6 5 6 5 6 6 | TCC 2 2 2 1 3 2 | TAC 8 8 8 8 8 8 | TGC 6 6 6 5 6 6
Leu TTA 12 12 12 13 12 12 | TCA 6 6 6 7 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 15 13 15 15 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 9 9 9 9 9 9
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 8 9 8 8 | Pro CCT 9 8 9 10 9 9 | His CAT 12 11 12 9 11 12 | Arg CGT 5 6 5 6 5 5
CTC 6 5 6 5 6 6 | CCC 2 3 2 2 2 2 | CAC 3 3 3 5 3 3 | CGC 4 4 4 3 4 4
CTA 2 2 2 2 2 2 | CCA 7 7 7 6 7 7 | Gln CAA 6 6 6 6 6 6 | CGA 0 0 0 1 0 0
CTG 1 1 1 1 1 1 | CCG 1 1 1 1 1 1 | CAG 3 3 3 4 3 3 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 15 15 15 13 15 15 | Thr ACT 13 13 13 13 13 13 | Asn AAT 23 23 23 23 23 23 | Ser AGT 7 7 7 8 7 7
ATC 3 3 3 3 3 3 | ACC 3 3 3 4 3 3 | AAC 4 4 4 4 4 4 | AGC 4 4 4 3 4 4
ATA 4 4 4 5 4 4 | ACA 11 11 11 11 11 11 | Lys AAA 18 18 18 18 18 18 | Arg AGA 11 10 11 10 11 11
Met ATG 9 9 9 10 9 9 | ACG 5 5 5 5 5 5 | AAG 14 14 14 14 14 14 | AGG 1 2 1 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 20 20 20 19 20 21 | Ala GCT 17 16 17 18 17 16 | Asp GAT 30 30 30 30 30 30 | Gly GGT 18 17 18 15 18 18
GTC 4 4 4 5 4 4 | GCC 11 12 11 10 11 11 | GAC 4 4 4 4 4 4 | GGC 5 5 5 6 5 5
GTA 6 6 6 4 6 6 | GCA 12 12 12 13 12 12 | Glu GAA 6 7 6 7 6 6 | GGA 5 5 5 6 5 5
GTG 10 10 10 10 10 10 | GCG 1 2 1 1 1 1 | GAG 9 8 9 8 9 9 | GGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 27 26 27 27 26 27 | Ser TCT 12 10 12 13 12 13 | Tyr TAT 25 22 23 23 23 23 | Cys TGT 18 19 20 21 20 21
TTC 5 6 5 5 6 5 | TCC 2 3 2 1 2 1 | TAC 6 9 8 8 8 8 | TGC 8 8 6 5 6 5
Leu TTA 12 10 11 12 12 11 | TCA 6 7 7 7 6 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 14 14 15 15 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 9 9 9 9 9 9
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 9 10 9 9 9 | Pro CCT 9 10 9 9 9 9 | His CAT 12 12 10 10 12 10 | Arg CGT 5 7 6 6 5 6
CTC 6 5 4 5 5 5 | CCC 2 2 2 2 2 2 | CAC 3 2 4 4 3 4 | CGC 4 3 3 3 4 3
CTA 2 2 3 2 2 2 | CCA 7 5 7 7 7 7 | Gln CAA 6 6 6 6 6 6 | CGA 0 0 1 1 0 1
CTG 1 2 1 1 1 1 | CCG 1 2 1 1 1 1 | CAG 3 4 4 4 3 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 15 13 14 14 15 14 | Thr ACT 13 10 12 12 13 12 | Asn AAT 23 25 23 23 23 23 | Ser AGT 8 8 8 7 7 8
ATC 3 4 2 3 3 3 | ACC 3 5 4 4 3 4 | AAC 4 3 4 4 4 4 | AGC 3 4 3 4 4 3
ATA 4 4 5 4 4 4 | ACA 11 11 11 11 11 11 | Lys AAA 18 17 18 19 18 18 | Arg AGA 11 9 10 10 11 10
Met ATG 9 11 10 10 9 10 | ACG 5 5 5 5 5 5 | AAG 14 15 14 13 14 14 | AGG 1 3 2 2 1 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 21 21 18 19 20 18 | Ala GCT 16 19 18 19 17 18 | Asp GAT 30 29 33 31 30 31 | Gly GGT 18 15 15 15 18 15
GTC 3 3 6 6 4 6 | GCC 12 10 10 9 11 10 | GAC 4 5 2 3 4 3 | GGC 4 6 6 6 5 6
GTA 5 4 5 5 6 5 | GCA 12 11 13 13 12 13 | Glu GAA 6 6 6 7 6 6 | GGA 6 4 6 6 5 6
GTG 11 10 10 10 10 10 | GCG 1 2 1 0 1 1 | GAG 9 9 8 8 9 9 | GGG 3 4 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 26 27 27 26 27 27 | Ser TCT 14 13 12 12 14 14 | Tyr TAT 23 23 25 23 24 24 | Cys TGT 19 21 19 20 20 20
TTC 6 5 5 6 5 5 | TCC 2 1 2 2 0 0 | TAC 8 8 6 8 7 7 | TGC 7 5 7 6 6 6
Leu TTA 11 13 12 12 12 12 | TCA 6 7 6 6 7 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 13 13 15 15 14 14 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 9 9 9 9 9 9
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 9 9 8 8 9 9 | Pro CCT 8 10 9 9 9 9 | His CAT 11 9 12 12 10 10 | Arg CGT 6 6 5 5 6 6
CTC 4 5 6 6 5 5 | CCC 3 2 2 2 2 2 | CAC 3 5 3 3 4 4 | CGC 4 3 4 4 3 3
CTA 4 2 2 2 2 2 | CCA 7 6 7 7 7 7 | Gln CAA 6 6 6 6 6 6 | CGA 0 1 0 0 1 1
CTG 2 1 1 1 1 1 | CCG 1 1 1 1 1 1 | CAG 4 4 3 3 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 13 15 15 14 14 | Thr ACT 13 13 13 13 13 13 | Asn AAT 22 23 23 23 23 23 | Ser AGT 8 8 8 7 8 8
ATC 3 3 3 3 3 3 | ACC 3 4 3 3 3 3 | AAC 5 4 4 4 4 4 | AGC 3 3 3 4 3 3
ATA 4 5 4 4 4 4 | ACA 11 11 11 11 11 11 | Lys AAA 18 18 18 18 18 18 | Arg AGA 10 10 11 11 10 10
Met ATG 10 10 9 9 10 10 | ACG 5 5 5 5 5 5 | AAG 14 14 14 14 14 14 | AGG 2 2 1 1 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 22 19 20 20 19 19 | Ala GCT 16 18 17 17 18 18 | Asp GAT 29 30 30 30 31 31 | Gly GGT 17 15 18 18 14 14
GTC 4 5 4 4 5 5 | GCC 11 10 11 11 10 10 | GAC 5 4 4 4 3 3 | GGC 6 6 5 5 7 7
GTA 5 4 6 6 5 5 | GCA 13 13 12 12 13 13 | Glu GAA 6 7 6 6 6 6 | GGA 5 6 5 5 6 6
GTG 8 10 10 10 10 10 | GCG 1 1 1 1 1 1 | GAG 9 8 9 9 9 9 | GGG 2 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 27 26 26 28 26 26 | Ser TCT 12 12 12 11 12 12 | Tyr TAT 25 25 23 23 23 23 | Cys TGT 19 20 20 20 20 20
TTC 5 6 6 5 6 6 | TCC 2 2 2 3 2 2 | TAC 6 7 8 7 8 8 | TGC 7 6 6 7 6 6
Leu TTA 12 12 12 11 12 12 | TCA 6 6 6 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 15 13 15 15 | TCG 0 0 0 1 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 9 9 9 9 9 9
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 9 8 8 8 | Pro CCT 9 9 9 9 9 9 | His CAT 12 11 12 12 12 12 | Arg CGT 5 5 5 6 5 5
CTC 6 6 5 5 6 6 | CCC 2 2 2 2 2 2 | CAC 3 3 3 2 3 3 | CGC 4 4 4 4 4 4
CTA 2 2 2 3 2 2 | CCA 7 7 7 7 7 7 | Gln CAA 6 6 6 6 6 6 | CGA 0 0 0 0 0 0
CTG 1 1 1 2 1 1 | CCG 1 1 1 1 1 1 | CAG 3 3 3 4 3 3 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 15 15 15 13 15 15 | Thr ACT 13 13 13 12 13 13 | Asn AAT 23 23 23 23 23 23 | Ser AGT 8 7 7 8 7 7
ATC 3 3 3 4 3 3 | ACC 3 3 3 4 3 3 | AAC 4 4 4 4 4 4 | AGC 3 4 4 3 4 4
ATA 4 4 4 4 4 4 | ACA 11 11 11 11 11 11 | Lys AAA 18 18 18 18 18 18 | Arg AGA 11 11 11 10 11 11
Met ATG 9 9 9 10 9 9 | ACG 5 5 5 5 5 5 | AAG 14 14 14 14 14 14 | AGG 1 1 1 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 21 20 20 19 20 20 | Ala GCT 17 17 17 17 17 17 | Asp GAT 30 30 30 31 30 30 | Gly GGT 18 18 18 17 18 18
GTC 3 4 4 5 4 4 | GCC 11 11 11 12 11 11 | GAC 4 4 4 3 4 4 | GGC 5 5 5 5 5 5
GTA 6 6 6 5 6 6 | GCA 12 12 12 12 12 12 | Glu GAA 6 6 6 6 6 6 | GGA 5 5 5 5 5 5
GTG 10 10 10 10 10 10 | GCG 1 1 1 1 1 1 | GAG 9 9 9 9 9 9 | GGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C251
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.13820 A:0.20729 G:0.16123
Average T:0.34997 C:0.16443 A:0.26615 G:0.21945
#2: C235
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49136 C:0.14012 A:0.21113 G:0.15739
Average T:0.35061 C:0.16379 A:0.26743 G:0.21817
#3: C192
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.14203 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#4: C4
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.14203 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#5: C279
position 1: T:0.28983 C:0.12860 A:0.28983 G:0.29175
position 2: T:0.27639 C:0.21113 A:0.32054 G:0.19194
position 3: T:0.47409 C:0.14779 A:0.20537 G:0.17274
Average T:0.34677 C:0.16251 A:0.27191 G:0.21881
#6: C66
position 1: T:0.27639 C:0.13820 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.13820 A:0.20537 G:0.16123
Average T:0.34997 C:0.16507 A:0.26552 G:0.21945
#7: C94
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35189 C:0.16443 A:0.26488 G:0.21881
#8: C182
position 1: T:0.28023 C:0.13244 A:0.27831 G:0.30902
position 2: T:0.28023 C:0.21689 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.14395 A:0.20345 G:0.15931
Average T:0.35125 C:0.16443 A:0.26488 G:0.21945
#9: C45
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28407 C:0.21305 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#10: C122
position 1: T:0.27831 C:0.13628 A:0.28023 G:0.30518
position 2: T:0.27639 C:0.22073 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.14012 A:0.20921 G:0.15739
Average T:0.34933 C:0.16571 A:0.26743 G:0.21753
#11: C298
position 1: T:0.28023 C:0.13244 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.14587 A:0.20345 G:0.15739
Average T:0.35189 C:0.16443 A:0.26488 G:0.21881
#12: C216
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28407 C:0.21305 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#13: C85
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49904 C:0.13820 A:0.20345 G:0.15931
Average T:0.35317 C:0.16251 A:0.26488 G:0.21945
#14: C64
position 1: T:0.27639 C:0.13820 A:0.28215 G:0.30326
position 2: T:0.27831 C:0.21497 A:0.31478 G:0.19194
position 3: T:0.48944 C:0.14971 A:0.18426 G:0.17658
Average T:0.34805 C:0.16763 A:0.26040 G:0.22393
#15: C30
position 1: T:0.27639 C:0.13820 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.13628 A:0.20921 G:0.15931
Average T:0.34997 C:0.16443 A:0.26679 G:0.21881
#16: C237
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.28023 C:0.21689 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.13820 A:0.21113 G:0.15547
Average T:0.35125 C:0.16379 A:0.26743 G:0.21753
#17: C161
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.14203 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#18: C269
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.13820 A:0.20537 G:0.16315
Average T:0.34997 C:0.16443 A:0.26552 G:0.22009
#19: C71
position 1: T:0.27639 C:0.14012 A:0.27831 G:0.30518
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.14779 A:0.20345 G:0.15547
Average T:0.34933 C:0.16891 A:0.26488 G:0.21689
#20: C130
position 1: T:0.27831 C:0.13628 A:0.28023 G:0.30518
position 2: T:0.27639 C:0.22073 A:0.31286 G:0.19002
position 3: T:0.49328 C:0.14012 A:0.20921 G:0.15739
Average T:0.34933 C:0.16571 A:0.26743 G:0.21753
#21: C19
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.50096 C:0.13820 A:0.20345 G:0.15739
Average T:0.35381 C:0.16251 A:0.26488 G:0.21881
#22: C47
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35189 C:0.16443 A:0.26488 G:0.21881
#23: C135
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.13436 A:0.20729 G:0.16123
Average T:0.35125 C:0.16315 A:0.26615 G:0.21945
#24: C134
position 1: T:0.27831 C:0.13628 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.13436 A:0.20729 G:0.16123
Average T:0.35125 C:0.16315 A:0.26615 G:0.21945
#25: C8
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.50288 C:0.13628 A:0.20345 G:0.15739
Average T:0.35445 C:0.16187 A:0.26488 G:0.21881
#26: C61
position 1: T:0.28023 C:0.13244 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.14203 A:0.20345 G:0.15739
Average T:0.35317 C:0.16315 A:0.26488 G:0.21881
#27: C22
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49712 C:0.14203 A:0.20345 G:0.15739
Average T:0.35253 C:0.16379 A:0.26488 G:0.21881
#28: C142
position 1: T:0.27639 C:0.13820 A:0.27831 G:0.30710
position 2: T:0.27831 C:0.21881 A:0.31094 G:0.19194
position 3: T:0.49328 C:0.14395 A:0.19962 G:0.16315
Average T:0.34933 C:0.16699 A:0.26296 G:0.22073
#29: C83
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35189 C:0.16443 A:0.26488 G:0.21881
#30: C29
position 1: T:0.27831 C:0.13436 A:0.27831 G:0.30902
position 2: T:0.28215 C:0.21497 A:0.31286 G:0.19002
position 3: T:0.49520 C:0.14395 A:0.20345 G:0.15739
Average T:0.35189 C:0.16443 A:0.26488 G:0.21881
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 797 | Ser S TCT 367 | Tyr Y TAT 704 | Cys C TGT 599
TTC 164 | TCC 54 | TAC 231 | TGC 183
Leu L TTA 355 | TCA 193 | *** * TAA 0 | *** * TGA 0
TTG 434 | TCG 3 | TAG 0 | Trp W TGG 270
------------------------------------------------------------------------------
Leu L CTT 256 | Pro P CCT 270 | His H CAT 334 | Arg R CGT 166
CTC 159 | CCC 62 | CAC 98 | CGC 105
CTA 66 | CCA 208 | Gln Q CAA 180 | CGA 11
CTG 34 | CCG 30 | CAG 104 | CGG 30
------------------------------------------------------------------------------
Ile I ATT 427 | Thr T ACT 382 | Asn N AAT 690 | Ser S AGT 225
ATC 94 | ACC 102 | AAC 125 | AGC 107
ATA 125 | ACA 327 | Lys K AAA 536 | Arg R AGA 315
Met M ATG 286 | ACG 149 | AAG 423 | AGG 47
------------------------------------------------------------------------------
Val V GTT 593 | Ala A GCT 520 | Asp D GAT 904 | Gly G GGT 498
GTC 132 | GCC 314 | GAC 113 | GGC 168
GTA 165 | GCA 367 | Glu E GAA 188 | GGA 158
GTG 296 | GCG 32 | GAG 264 | GGG 91
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.27857 C:0.13519 A:0.27895 G:0.30729
position 2: T:0.28042 C:0.21625 A:0.31312 G:0.19021
position 3: T:0.49469 C:0.14146 A:0.20435 G:0.15950
Average T:0.35123 C:0.16430 A:0.26547 G:0.21900
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
lnL(ntime: 47 np: 50): -3579.734159 +0.000000
31..12 31..22 31..4 31..30 31..7 31..9 31..29 31..32 32..17 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..16 41..2 40..18 40..1 40..42 42..10 42..20 39..43 43..23 43..24 38..15 37..6 36..19 35..28 34..44 44..5 44..14 33..8 32..27 31..45 45..46 46..47 47..13 47..25 46..21 45..3 31..48 48..11 48..26
0.002020 0.000004 0.002022 0.000004 0.000004 0.002020 0.000004 0.002021 0.000004 0.010365 0.034800 0.019720 0.004121 0.011937 0.008183 0.002015 0.002045 0.008229 0.008235 0.001974 0.002034 0.000004 0.016438 0.000004 0.000004 0.014402 0.000004 0.000004 0.012323 0.000004 0.037958 0.010959 0.035726 0.482858 0.047460 0.016338 0.000004 0.002022 0.008139 0.002031 0.008162 0.000004 0.000004 0.000004 0.002021 0.002022 0.002031 2.477790 0.964459 0.031185
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.822690
(12: 0.002020, 22: 0.000004, 4: 0.002022, 30: 0.000004, 7: 0.000004, 9: 0.002020, 29: 0.000004, (17: 0.000004, (((((((((16: 0.008235, 2: 0.001974): 0.008229, 18: 0.002034, 1: 0.000004, (10: 0.000004, 20: 0.000004): 0.016438): 0.002045, (23: 0.000004, 24: 0.000004): 0.014402): 0.002015, 15: 0.012323): 0.008183, 6: 0.000004): 0.011937, 19: 0.037958): 0.004121, 28: 0.010959): 0.019720, (5: 0.482858, 14: 0.047460): 0.035726): 0.034800, 8: 0.016338): 0.010365, 27: 0.000004): 0.002021, (((13: 0.008162, 25: 0.000004): 0.002031, 21: 0.000004): 0.008139, 3: 0.000004): 0.002022, (11: 0.002022, 26: 0.002031): 0.002021);
(C216: 0.002020, C47: 0.000004, C4: 0.002022, C29: 0.000004, C94: 0.000004, C45: 0.002020, C83: 0.000004, (C161: 0.000004, (((((((((C237: 0.008235, C235: 0.001974): 0.008229, C269: 0.002034, C251: 0.000004, (C122: 0.000004, C130: 0.000004): 0.016438): 0.002045, (C135: 0.000004, C134: 0.000004): 0.014402): 0.002015, C30: 0.012323): 0.008183, C66: 0.000004): 0.011937, C71: 0.037958): 0.004121, C142: 0.010959): 0.019720, (C279: 0.482858, C64: 0.047460): 0.035726): 0.034800, C182: 0.016338): 0.010365, C22: 0.000004): 0.002021, (((C85: 0.008162, C8: 0.000004): 0.002031, C19: 0.000004): 0.008139, C192: 0.000004): 0.002022, (C298: 0.002022, C61: 0.002031): 0.002021);
Detailed output identifying parameters
kappa (ts/tv) = 2.47779
MLEs of dN/dS (w) for site classes (K=2)
p: 0.96446 0.03554
w: 0.03119 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..22 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..4 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..30 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..7 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..9 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..29 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..32 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
32..17 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
32..33 0.010 1262.4 300.6 0.0656 0.0009 0.0141 1.2 4.2
33..34 0.035 1262.4 300.6 0.0656 0.0031 0.0473 3.9 14.2
34..35 0.020 1262.4 300.6 0.0656 0.0018 0.0268 2.2 8.1
35..36 0.004 1262.4 300.6 0.0656 0.0004 0.0056 0.5 1.7
36..37 0.012 1262.4 300.6 0.0656 0.0011 0.0162 1.3 4.9
37..38 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
38..39 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
39..40 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
40..41 0.008 1262.4 300.6 0.0656 0.0007 0.0112 0.9 3.4
41..16 0.008 1262.4 300.6 0.0656 0.0007 0.0112 0.9 3.4
41..2 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
40..18 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
40..1 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
40..42 0.016 1262.4 300.6 0.0656 0.0015 0.0223 1.8 6.7
42..10 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
42..20 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
39..43 0.014 1262.4 300.6 0.0656 0.0013 0.0196 1.6 5.9
43..23 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
43..24 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
38..15 0.012 1262.4 300.6 0.0656 0.0011 0.0167 1.4 5.0
37..6 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
36..19 0.038 1262.4 300.6 0.0656 0.0034 0.0516 4.3 15.5
35..28 0.011 1262.4 300.6 0.0656 0.0010 0.0149 1.2 4.5
34..44 0.036 1262.4 300.6 0.0656 0.0032 0.0485 4.0 14.6
44..5 0.483 1262.4 300.6 0.0656 0.0430 0.6560 54.3 197.2
44..14 0.047 1262.4 300.6 0.0656 0.0042 0.0645 5.3 19.4
33..8 0.016 1262.4 300.6 0.0656 0.0015 0.0222 1.8 6.7
32..27 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..45 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
45..46 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
46..47 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
47..13 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
47..25 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
46..21 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
45..3 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..48 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
48..11 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
48..26 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
Time used: 8:53
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
lnL(ntime: 47 np: 52): -3579.734159 +0.000000
31..12 31..22 31..4 31..30 31..7 31..9 31..29 31..32 32..17 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..16 41..2 40..18 40..1 40..42 42..10 42..20 39..43 43..23 43..24 38..15 37..6 36..19 35..28 34..44 44..5 44..14 33..8 32..27 31..45 45..46 46..47 47..13 47..25 46..21 45..3 31..48 48..11 48..26
0.002020 0.000004 0.002022 0.000004 0.000004 0.002020 0.000004 0.002021 0.000004 0.010365 0.034800 0.019720 0.004121 0.011937 0.008183 0.002015 0.002045 0.008229 0.008235 0.001974 0.002034 0.000004 0.016438 0.000004 0.000004 0.014402 0.000004 0.000004 0.012323 0.000004 0.037958 0.010959 0.035726 0.482860 0.047460 0.016338 0.000004 0.002022 0.008139 0.002031 0.008162 0.000004 0.000004 0.000004 0.002021 0.002022 0.002031 2.477790 0.964460 0.021296 0.031185 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.822691
(12: 0.002020, 22: 0.000004, 4: 0.002022, 30: 0.000004, 7: 0.000004, 9: 0.002020, 29: 0.000004, (17: 0.000004, (((((((((16: 0.008235, 2: 0.001974): 0.008229, 18: 0.002034, 1: 0.000004, (10: 0.000004, 20: 0.000004): 0.016438): 0.002045, (23: 0.000004, 24: 0.000004): 0.014402): 0.002015, 15: 0.012323): 0.008183, 6: 0.000004): 0.011937, 19: 0.037958): 0.004121, 28: 0.010959): 0.019720, (5: 0.482860, 14: 0.047460): 0.035726): 0.034800, 8: 0.016338): 0.010365, 27: 0.000004): 0.002021, (((13: 0.008162, 25: 0.000004): 0.002031, 21: 0.000004): 0.008139, 3: 0.000004): 0.002022, (11: 0.002022, 26: 0.002031): 0.002021);
(C216: 0.002020, C47: 0.000004, C4: 0.002022, C29: 0.000004, C94: 0.000004, C45: 0.002020, C83: 0.000004, (C161: 0.000004, (((((((((C237: 0.008235, C235: 0.001974): 0.008229, C269: 0.002034, C251: 0.000004, (C122: 0.000004, C130: 0.000004): 0.016438): 0.002045, (C135: 0.000004, C134: 0.000004): 0.014402): 0.002015, C30: 0.012323): 0.008183, C66: 0.000004): 0.011937, C71: 0.037958): 0.004121, C142: 0.010959): 0.019720, (C279: 0.482860, C64: 0.047460): 0.035726): 0.034800, C182: 0.016338): 0.010365, C22: 0.000004): 0.002021, (((C85: 0.008162, C8: 0.000004): 0.002031, C19: 0.000004): 0.008139, C192: 0.000004): 0.002022, (C298: 0.002022, C61: 0.002031): 0.002021);
Detailed output identifying parameters
kappa (ts/tv) = 2.47779
MLEs of dN/dS (w) for site classes (K=3)
p: 0.96446 0.02130 0.01424
w: 0.03119 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..22 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..4 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..30 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..7 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..9 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
31..29 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..32 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
32..17 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
32..33 0.010 1262.4 300.6 0.0656 0.0009 0.0141 1.2 4.2
33..34 0.035 1262.4 300.6 0.0656 0.0031 0.0473 3.9 14.2
34..35 0.020 1262.4 300.6 0.0656 0.0018 0.0268 2.2 8.1
35..36 0.004 1262.4 300.6 0.0656 0.0004 0.0056 0.5 1.7
36..37 0.012 1262.4 300.6 0.0656 0.0011 0.0162 1.3 4.9
37..38 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
38..39 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
39..40 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
40..41 0.008 1262.4 300.6 0.0656 0.0007 0.0112 0.9 3.4
41..16 0.008 1262.4 300.6 0.0656 0.0007 0.0112 0.9 3.4
41..2 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
40..18 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
40..1 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
40..42 0.016 1262.4 300.6 0.0656 0.0015 0.0223 1.8 6.7
42..10 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
42..20 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
39..43 0.014 1262.4 300.6 0.0656 0.0013 0.0196 1.6 5.9
43..23 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
43..24 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
38..15 0.012 1262.4 300.6 0.0656 0.0011 0.0167 1.4 5.0
37..6 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
36..19 0.038 1262.4 300.6 0.0656 0.0034 0.0516 4.3 15.5
35..28 0.011 1262.4 300.6 0.0656 0.0010 0.0149 1.2 4.5
34..44 0.036 1262.4 300.6 0.0656 0.0032 0.0485 4.0 14.6
44..5 0.483 1262.4 300.6 0.0656 0.0430 0.6560 54.3 197.2
44..14 0.047 1262.4 300.6 0.0656 0.0042 0.0645 5.3 19.4
33..8 0.016 1262.4 300.6 0.0656 0.0015 0.0222 1.8 6.7
32..27 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..45 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
45..46 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
46..47 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
47..13 0.008 1262.4 300.6 0.0656 0.0007 0.0111 0.9 3.3
47..25 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
46..21 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
45..3 0.000 1262.4 300.6 0.0656 0.0000 0.0000 0.0 0.0
31..48 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
48..11 0.002 1262.4 300.6 0.0656 0.0002 0.0027 0.2 0.8
48..26 0.002 1262.4 300.6 0.0656 0.0002 0.0028 0.2 0.8
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
249 I 0.556 1.276 +- 0.301
310 V 0.503 1.168 +- 0.452
370 S 0.523 1.255 +- 0.304
426 S 0.508 1.237 +- 0.332
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.983 0.015 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
sum of density on p0-p1 = 1.000000
Time used: 16:49
Model 7: beta (10 categories)
TREE # 1: (12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
lnL(ntime: 47 np: 50): -3579.803013 +0.000000
31..12 31..22 31..4 31..30 31..7 31..9 31..29 31..32 32..17 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..16 41..2 40..18 40..1 40..42 42..10 42..20 39..43 43..23 43..24 38..15 37..6 36..19 35..28 34..44 44..5 44..14 33..8 32..27 31..45 45..46 46..47 47..13 47..25 46..21 45..3 31..48 48..11 48..26
0.002027 0.000004 0.002029 0.000004 0.000004 0.002028 0.000004 0.002029 0.000004 0.010377 0.035000 0.019736 0.004153 0.012028 0.008247 0.002031 0.002061 0.008247 0.008249 0.002035 0.002050 0.000004 0.016556 0.000004 0.000004 0.014521 0.000004 0.000004 0.012406 0.000004 0.038287 0.011047 0.037294 0.479543 0.046434 0.016413 0.000004 0.002030 0.008167 0.002038 0.008190 0.000004 0.000004 0.000004 0.002032 0.002025 0.002034 2.426816 0.125204 1.782647
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.821403
(12: 0.002027, 22: 0.000004, 4: 0.002029, 30: 0.000004, 7: 0.000004, 9: 0.002028, 29: 0.000004, (17: 0.000004, (((((((((16: 0.008249, 2: 0.002035): 0.008247, 18: 0.002050, 1: 0.000004, (10: 0.000004, 20: 0.000004): 0.016556): 0.002061, (23: 0.000004, 24: 0.000004): 0.014521): 0.002031, 15: 0.012406): 0.008247, 6: 0.000004): 0.012028, 19: 0.038287): 0.004153, 28: 0.011047): 0.019736, (5: 0.479543, 14: 0.046434): 0.037294): 0.035000, 8: 0.016413): 0.010377, 27: 0.000004): 0.002029, (((13: 0.008190, 25: 0.000004): 0.002038, 21: 0.000004): 0.008167, 3: 0.000004): 0.002030, (11: 0.002025, 26: 0.002034): 0.002032);
(C216: 0.002027, C47: 0.000004, C4: 0.002029, C29: 0.000004, C94: 0.000004, C45: 0.002028, C83: 0.000004, (C161: 0.000004, (((((((((C237: 0.008249, C235: 0.002035): 0.008247, C269: 0.002050, C251: 0.000004, (C122: 0.000004, C130: 0.000004): 0.016556): 0.002061, (C135: 0.000004, C134: 0.000004): 0.014521): 0.002031, C30: 0.012406): 0.008247, C66: 0.000004): 0.012028, C71: 0.038287): 0.004153, C142: 0.011047): 0.019736, (C279: 0.479543, C64: 0.046434): 0.037294): 0.035000, C182: 0.016413): 0.010377, C22: 0.000004): 0.002029, (((C85: 0.008190, C8: 0.000004): 0.002038, C19: 0.000004): 0.008167, C192: 0.000004): 0.002030, (C298: 0.002025, C61: 0.002034): 0.002032);
Detailed output identifying parameters
kappa (ts/tv) = 2.42682
Parameters in M7 (beta):
p = 0.12520 q = 1.78265
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00001 0.00010 0.00077 0.00381 0.01458 0.04677 0.13532 0.39988
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..22 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..4 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..30 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..7 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..9 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..29 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..32 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
32..17 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
32..33 0.010 1263.4 299.6 0.0601 0.0009 0.0144 1.1 4.3
33..34 0.035 1263.4 299.6 0.0601 0.0029 0.0485 3.7 14.5
34..35 0.020 1263.4 299.6 0.0601 0.0016 0.0274 2.1 8.2
35..36 0.004 1263.4 299.6 0.0601 0.0003 0.0058 0.4 1.7
36..37 0.012 1263.4 299.6 0.0601 0.0010 0.0167 1.3 5.0
37..38 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
38..39 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
39..40 0.002 1263.4 299.6 0.0601 0.0002 0.0029 0.2 0.9
40..41 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
41..16 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
41..2 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
40..18 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.9
40..1 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
40..42 0.017 1263.4 299.6 0.0601 0.0014 0.0230 1.7 6.9
42..10 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
42..20 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
39..43 0.015 1263.4 299.6 0.0601 0.0012 0.0201 1.5 6.0
43..23 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
43..24 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
38..15 0.012 1263.4 299.6 0.0601 0.0010 0.0172 1.3 5.2
37..6 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
36..19 0.038 1263.4 299.6 0.0601 0.0032 0.0531 4.0 15.9
35..28 0.011 1263.4 299.6 0.0601 0.0009 0.0153 1.2 4.6
34..44 0.037 1263.4 299.6 0.0601 0.0031 0.0517 3.9 15.5
44..5 0.480 1263.4 299.6 0.0601 0.0400 0.6652 50.5 199.3
44..14 0.046 1263.4 299.6 0.0601 0.0039 0.0644 4.9 19.3
33..8 0.016 1263.4 299.6 0.0601 0.0014 0.0228 1.7 6.8
32..27 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..45 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
45..46 0.008 1263.4 299.6 0.0601 0.0007 0.0113 0.9 3.4
46..47 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
47..13 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
47..25 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
46..21 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
45..3 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..48 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
48..11 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
48..26 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
Time used: 43:00
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 22, 4, 30, 7, 9, 29, (17, (((((((((16, 2), 18, 1, (10, 20)), (23, 24)), 15), 6), 19), 28), (5, 14)), 8), 27), (((13, 25), 21), 3), (11, 26)); MP score: 301
check convergence..
lnL(ntime: 47 np: 52): -3579.803193 +0.000000
31..12 31..22 31..4 31..30 31..7 31..9 31..29 31..32 32..17 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..16 41..2 40..18 40..1 40..42 42..10 42..20 39..43 43..23 43..24 38..15 37..6 36..19 35..28 34..44 44..5 44..14 33..8 32..27 31..45 45..46 46..47 47..13 47..25 46..21 45..3 31..48 48..11 48..26
0.002027 0.000004 0.002029 0.000004 0.000004 0.002028 0.000004 0.002029 0.000004 0.010377 0.035000 0.019736 0.004153 0.012028 0.008247 0.002031 0.002062 0.008247 0.008249 0.002035 0.002050 0.000004 0.016555 0.000004 0.000004 0.014521 0.000004 0.000004 0.012406 0.000004 0.038288 0.011047 0.037293 0.479548 0.046433 0.016413 0.000004 0.002029 0.008167 0.002038 0.008191 0.000004 0.000004 0.000004 0.002032 0.002025 0.002034 2.426834 0.999990 0.125212 1.782965 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.821407
(12: 0.002027, 22: 0.000004, 4: 0.002029, 30: 0.000004, 7: 0.000004, 9: 0.002028, 29: 0.000004, (17: 0.000004, (((((((((16: 0.008249, 2: 0.002035): 0.008247, 18: 0.002050, 1: 0.000004, (10: 0.000004, 20: 0.000004): 0.016555): 0.002062, (23: 0.000004, 24: 0.000004): 0.014521): 0.002031, 15: 0.012406): 0.008247, 6: 0.000004): 0.012028, 19: 0.038288): 0.004153, 28: 0.011047): 0.019736, (5: 0.479548, 14: 0.046433): 0.037293): 0.035000, 8: 0.016413): 0.010377, 27: 0.000004): 0.002029, (((13: 0.008191, 25: 0.000004): 0.002038, 21: 0.000004): 0.008167, 3: 0.000004): 0.002029, (11: 0.002025, 26: 0.002034): 0.002032);
(C216: 0.002027, C47: 0.000004, C4: 0.002029, C29: 0.000004, C94: 0.000004, C45: 0.002028, C83: 0.000004, (C161: 0.000004, (((((((((C237: 0.008249, C235: 0.002035): 0.008247, C269: 0.002050, C251: 0.000004, (C122: 0.000004, C130: 0.000004): 0.016555): 0.002062, (C135: 0.000004, C134: 0.000004): 0.014521): 0.002031, C30: 0.012406): 0.008247, C66: 0.000004): 0.012028, C71: 0.038288): 0.004153, C142: 0.011047): 0.019736, (C279: 0.479548, C64: 0.046433): 0.037293): 0.035000, C182: 0.016413): 0.010377, C22: 0.000004): 0.002029, (((C85: 0.008191, C8: 0.000004): 0.002038, C19: 0.000004): 0.008167, C192: 0.000004): 0.002029, (C298: 0.002025, C61: 0.002034): 0.002032);
Detailed output identifying parameters
kappa (ts/tv) = 2.42683
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 0.12521 q = 1.78296
(p1 = 0.00001) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.00001
w: 0.00000 0.00000 0.00001 0.00010 0.00077 0.00381 0.01458 0.04677 0.13531 0.39983 1.00000
(note that p[10] is zero)
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..22 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..4 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..30 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..7 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..9 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
31..29 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..32 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
32..17 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
32..33 0.010 1263.4 299.6 0.0601 0.0009 0.0144 1.1 4.3
33..34 0.035 1263.4 299.6 0.0601 0.0029 0.0485 3.7 14.5
34..35 0.020 1263.4 299.6 0.0601 0.0016 0.0274 2.1 8.2
35..36 0.004 1263.4 299.6 0.0601 0.0003 0.0058 0.4 1.7
36..37 0.012 1263.4 299.6 0.0601 0.0010 0.0167 1.3 5.0
37..38 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
38..39 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
39..40 0.002 1263.4 299.6 0.0601 0.0002 0.0029 0.2 0.9
40..41 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
41..16 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
41..2 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
40..18 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.9
40..1 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
40..42 0.017 1263.4 299.6 0.0601 0.0014 0.0230 1.7 6.9
42..10 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
42..20 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
39..43 0.015 1263.4 299.6 0.0601 0.0012 0.0201 1.5 6.0
43..23 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
43..24 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
38..15 0.012 1263.4 299.6 0.0601 0.0010 0.0172 1.3 5.2
37..6 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
36..19 0.038 1263.4 299.6 0.0601 0.0032 0.0531 4.0 15.9
35..28 0.011 1263.4 299.6 0.0601 0.0009 0.0153 1.2 4.6
34..44 0.037 1263.4 299.6 0.0601 0.0031 0.0517 3.9 15.5
44..5 0.480 1263.4 299.6 0.0601 0.0400 0.6652 50.5 199.3
44..14 0.046 1263.4 299.6 0.0601 0.0039 0.0644 4.9 19.3
33..8 0.016 1263.4 299.6 0.0601 0.0014 0.0228 1.7 6.8
32..27 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..45 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
45..46 0.008 1263.4 299.6 0.0601 0.0007 0.0113 0.9 3.4
46..47 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
47..13 0.008 1263.4 299.6 0.0601 0.0007 0.0114 0.9 3.4
47..25 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
46..21 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
45..3 0.000 1263.4 299.6 0.0601 0.0000 0.0000 0.0 0.0
31..48 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
48..11 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
48..26 0.002 1263.4 299.6 0.0601 0.0002 0.0028 0.2 0.8
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
202 R 0.640 1.117 +- 0.541
249 I 0.724 1.233 +- 0.458
310 V 0.605 1.068 +- 0.565
370 S 0.679 1.186 +- 0.481
426 S 0.616 1.112 +- 0.519
432 H 0.532 1.020 +- 0.539
454 A 0.522 1.010 +- 0.539
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.013 0.135 0.852
ws: 0.995 0.004 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 1:19:44
Model 1: NearlyNeutral -3579.734159 Model 2: PositiveSelection -3579.734159 Model 7: beta -3579.803013 Model 8: beta&w>1 -3579.803193 Model 2 vs 1 0 Model 8 vs 7 -.000360
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
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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
