--- 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 -1979.93 -2009.16
2 -1979.34 -2008.06
--------------------------------------
TOTAL -1979.59 -2008.76
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.208105 0.000777 0.156734 0.266364 0.205888 1416.24 1430.59 1.002
r(A<->C){all} 0.062806 0.000795 0.012863 0.117896 0.059327 586.07 633.22 1.000
r(A<->G){all} 0.245263 0.002406 0.159051 0.346518 0.241560 584.62 603.22 1.000
r(A<->T){all} 0.048826 0.000286 0.019368 0.083297 0.046830 627.42 916.48 1.000
r(C<->G){all} 0.017885 0.000270 0.000008 0.049938 0.013168 734.94 780.58 1.000
r(C<->T){all} 0.541407 0.003342 0.422944 0.648202 0.543139 609.36 610.79 1.000
r(G<->T){all} 0.083813 0.000506 0.043931 0.129946 0.081692 828.83 882.33 1.001
pi(A){all} 0.253076 0.000190 0.228451 0.281707 0.252884 1150.68 1184.29 1.000
pi(C){all} 0.150485 0.000129 0.128504 0.173110 0.150194 996.03 1108.98 1.001
pi(G){all} 0.222474 0.000187 0.197237 0.249934 0.222357 1049.88 1065.30 1.001
pi(T){all} 0.373965 0.000241 0.345825 0.405475 0.373586 1092.15 1184.08 1.000
alpha{1,2} 0.091050 0.003018 0.000122 0.179526 0.090901 892.46 1044.23 1.002
alpha{3} 3.137800 1.952261 1.008626 5.968073 2.893633 1383.14 1442.07 1.000
pinvar{all} 0.568108 0.004894 0.437935 0.708250 0.572757 1294.12 1315.17 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 -1861.658328
Model 2: PositiveSelection -1861.658328
Model 7: beta -1861.347369
Model 8: beta&w>1 -1861.347411
Model 2 vs 1 0
Model 8 vs 7 -.000084
-- Starting log on Fri Nov 18 14:40:00 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:56:35 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 03:28:10 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_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 909 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C208
Taxon 2 -> C270
Taxon 3 -> C50
Taxon 4 -> C112
Taxon 5 -> C174
Taxon 6 -> C199
Taxon 7 -> C246
Taxon 8 -> C280
Taxon 9 -> C38
Taxon 10 -> C53
Taxon 11 -> C287
Taxon 12 -> C73
Taxon 13 -> C44
Taxon 14 -> C182
Taxon 15 -> C213
Taxon 16 -> C217
Taxon 17 -> C151
Taxon 18 -> C223
Taxon 19 -> C230
Taxon 20 -> C258
Taxon 21 -> C30
Taxon 22 -> C122
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C72
Taxon 26 -> C31
Taxon 27 -> C136
Taxon 28 -> C77
Taxon 29 -> C79
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668828492
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) = 709624066
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 = 8630379750
Seed = 449522603
Swapseed = 1668828492
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 17 unique site patterns
Division 2 has 10 unique site patterns
Division 3 has 60 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 -- -4100.479579 -- 82.122948
Chain 2 -- -3867.194969 -- 82.122948
Chain 3 -- -4215.494915 -- 82.122948
Chain 4 -- -3970.681499 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -4008.468053 -- 82.122948
Chain 2 -- -4031.579601 -- 82.122948
Chain 3 -- -3930.374144 -- 82.122948
Chain 4 -- -4061.491392 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-4100.480] (-3867.195) (-4215.495) (-3970.681) * [-4008.468] (-4031.580) (-3930.374) (-4061.491)
1000 -- (-2341.640) (-2273.582) [-2085.872] (-2114.349) * (-2121.905) (-2443.066) [-2123.114] (-2345.559) -- 0:00:00
2000 -- (-2128.489) (-2074.978) (-2034.254) [-2032.608] * [-2020.514] (-2096.812) (-2041.906) (-2088.221) -- 0:08:19
3000 -- (-2026.851) (-2037.754) (-2014.323) [-2007.920] * (-2029.204) (-2052.860) (-2016.776) [-2023.529] -- 0:11:04
4000 -- (-2007.270) (-2016.975) [-2015.876] (-2005.080) * [-1995.299] (-2033.020) (-1995.270) (-2020.340) -- 0:12:27
5000 -- [-1995.123] (-2024.872) (-2007.662) (-1997.788) * (-2008.008) (-2020.876) [-1994.320] (-2015.685) -- 0:09:57
Average standard deviation of split frequencies: 0.074548
6000 -- [-1999.563] (-2005.686) (-2004.154) (-2018.592) * (-2012.429) (-2019.981) (-1995.739) [-2001.162] -- 0:11:02
7000 -- (-2006.650) [-2000.925] (-2004.517) (-2005.677) * (-1997.672) [-1994.007] (-1997.992) (-2018.166) -- 0:11:49
8000 -- (-2019.619) (-2004.227) [-1993.574] (-2003.876) * (-1994.922) (-1996.826) [-1994.729] (-1993.786) -- 0:12:24
9000 -- (-1996.254) [-1986.180] (-2003.440) (-1996.918) * [-1984.735] (-2019.010) (-2009.427) (-1994.961) -- 0:11:00
10000 -- (-1995.470) (-1999.974) [-1992.817] (-2021.037) * (-1990.077) (-2004.589) (-2020.762) [-1996.180] -- 0:11:33
Average standard deviation of split frequencies: 0.072415
11000 -- (-2015.870) [-1995.717] (-1997.836) (-1995.820) * (-1989.932) [-1990.174] (-2009.835) (-2013.432) -- 0:11:59
12000 -- (-2010.568) (-2003.443) [-1987.113] (-1997.414) * (-1984.661) (-2006.599) [-2006.308] (-2020.802) -- 0:12:21
13000 -- (-2024.290) (-1992.501) [-2006.757] (-2010.833) * (-2004.745) [-1990.027] (-1984.756) (-2015.189) -- 0:12:39
14000 -- (-2005.137) (-2002.525) [-2000.360] (-1995.615) * (-2005.167) (-1993.982) (-2002.362) [-1997.883] -- 0:11:44
15000 -- (-1997.718) [-1990.762] (-1988.705) (-1987.149) * (-1999.629) (-2021.473) (-2010.811) [-2000.602] -- 0:12:02
Average standard deviation of split frequencies: 0.063836
16000 -- (-2026.802) (-2009.320) (-1999.484) [-1993.124] * (-2007.327) (-2004.087) (-2001.344) [-1991.892] -- 0:12:18
17000 -- (-2018.796) (-2003.849) (-1995.562) [-1991.520] * (-2015.448) (-2009.879) (-2015.768) [-1997.524] -- 0:11:33
18000 -- [-1990.658] (-2003.498) (-1997.796) (-2008.293) * (-1993.496) (-2009.255) (-1998.262) [-2005.395] -- 0:11:49
19000 -- [-1997.932] (-1994.436) (-2004.815) (-1990.393) * (-1996.758) (-2005.048) [-1991.350] (-2003.370) -- 0:12:02
20000 -- [-2003.633] (-2009.882) (-2015.021) (-1990.353) * (-1995.271) (-2009.480) (-2003.371) [-1984.913] -- 0:12:15
Average standard deviation of split frequencies: 0.047845
21000 -- (-2003.378) (-1991.748) [-2009.900] (-1995.292) * (-1992.635) (-2020.168) [-1992.876] (-1995.634) -- 0:11:39
22000 -- (-2000.215) (-2001.832) (-1989.122) [-1988.905] * [-2008.772] (-1998.212) (-1985.153) (-1998.744) -- 0:11:51
23000 -- (-1999.345) (-1999.028) [-1980.627] (-2002.972) * [-1994.145] (-2004.815) (-2010.377) (-1999.059) -- 0:12:02
24000 -- (-1991.230) (-2002.954) (-1992.620) [-1995.041] * [-1985.103] (-1990.776) (-1995.179) (-1997.502) -- 0:12:12
25000 -- (-1999.656) (-1994.360) [-1996.847] (-2003.324) * (-1983.787) [-1986.742] (-1995.448) (-2002.114) -- 0:12:21
Average standard deviation of split frequencies: 0.039586
26000 -- [-1987.908] (-2026.802) (-2010.159) (-2001.308) * (-1989.455) (-1992.556) (-1998.582) [-1987.028] -- 0:11:51
27000 -- [-1981.482] (-2021.936) (-2006.152) (-1988.638) * (-1991.316) [-1990.690] (-1994.622) (-1991.747) -- 0:12:00
28000 -- (-1994.429) (-2015.408) (-2010.894) [-1987.696] * [-1998.142] (-2002.432) (-2008.850) (-2009.728) -- 0:12:09
29000 -- (-1989.467) (-2030.591) (-2004.573) [-1979.706] * (-2009.891) [-1981.932] (-2003.525) (-1996.234) -- 0:12:16
30000 -- [-1989.000] (-2002.375) (-1992.656) (-1993.699) * (-2010.110) (-1987.086) [-1980.671] (-2000.345) -- 0:11:51
Average standard deviation of split frequencies: 0.037676
31000 -- (-2002.428) (-2014.439) (-1995.877) [-1988.511] * (-2005.921) (-1995.553) (-1993.705) [-1999.667] -- 0:11:58
32000 -- [-1995.473] (-1998.276) (-2000.180) (-1988.801) * (-2008.972) [-1993.628] (-1994.548) (-1992.002) -- 0:12:06
33000 -- [-1999.807] (-2022.793) (-2010.378) (-1996.859) * (-2013.372) (-1997.328) [-1988.696] (-1998.958) -- 0:12:12
34000 -- (-2008.448) (-2001.541) [-1984.463] (-1989.673) * (-2017.961) (-2000.797) [-1984.605] (-1995.702) -- 0:11:50
35000 -- (-2022.092) [-1986.832] (-2002.512) (-1989.132) * (-2015.369) (-1996.038) [-1988.440] (-2013.590) -- 0:11:56
Average standard deviation of split frequencies: 0.034826
36000 -- (-2012.261) (-1986.648) [-1989.567] (-1994.412) * (-2014.379) (-1997.578) [-1995.368] (-2015.912) -- 0:12:03
37000 -- [-1992.824] (-2011.615) (-2011.356) (-1999.203) * (-1991.518) (-2007.784) (-1992.652) [-1985.710] -- 0:12:08
38000 -- [-1996.857] (-2001.275) (-1992.259) (-2005.281) * [-1978.978] (-2008.824) (-2006.478) (-2001.969) -- 0:11:48
39000 -- (-1996.164) [-1991.130] (-2002.537) (-2025.644) * (-2005.126) (-2006.851) [-1986.833] (-2006.946) -- 0:11:54
40000 -- (-1991.258) (-1999.819) [-1996.040] (-2034.162) * (-2010.763) (-1996.904) [-1995.097] (-2007.547) -- 0:12:00
Average standard deviation of split frequencies: 0.031329
41000 -- [-1990.159] (-1993.342) (-2012.981) (-2002.609) * (-1994.666) (-2007.065) [-1984.389] (-2004.356) -- 0:12:05
42000 -- (-1994.743) [-1998.865] (-2002.380) (-2010.339) * (-1990.078) (-1990.945) (-1982.685) [-2002.363] -- 0:11:47
43000 -- (-1995.162) [-1996.918] (-2013.991) (-1991.259) * (-1993.059) (-1990.610) (-2008.994) [-1993.519] -- 0:11:52
44000 -- (-1990.106) [-1993.414] (-2012.527) (-2012.934) * (-1995.168) (-2008.955) (-2016.631) [-1995.990] -- 0:11:57
45000 -- [-1985.521] (-2005.788) (-2001.940) (-2005.675) * (-1988.764) [-1982.203] (-2018.817) (-1997.140) -- 0:12:01
Average standard deviation of split frequencies: 0.031949
46000 -- [-1993.540] (-2006.725) (-1997.549) (-2019.174) * (-1992.575) (-1996.498) (-2014.702) [-1984.637] -- 0:12:05
47000 -- (-1999.705) [-1990.939] (-1989.009) (-2005.230) * (-2004.555) (-2005.336) (-1993.972) [-1989.978] -- 0:11:49
48000 -- [-1984.086] (-2004.980) (-2005.571) (-2003.973) * (-2001.484) (-1999.089) (-2008.165) [-1988.680] -- 0:11:54
49000 -- [-1999.375] (-2015.270) (-2006.240) (-1991.728) * (-1998.122) [-1992.435] (-2010.134) (-1995.016) -- 0:11:58
50000 -- (-2007.862) (-2003.644) [-1997.410] (-1995.480) * (-1996.580) [-2004.306] (-1999.612) (-1994.362) -- 0:12:02
Average standard deviation of split frequencies: 0.031718
51000 -- (-1993.205) (-2010.534) (-2013.082) [-1991.587] * (-2011.618) [-1984.943] (-1988.068) (-2011.878) -- 0:11:47
52000 -- (-1988.791) (-1990.355) (-2026.458) [-1989.398] * (-2016.071) [-1992.126] (-1987.123) (-2014.620) -- 0:11:51
53000 -- (-1993.803) (-1998.717) (-1994.943) [-1999.298] * (-1999.333) [-1983.121] (-1985.090) (-2009.622) -- 0:11:54
54000 -- [-1988.514] (-2017.522) (-2018.889) (-1992.506) * (-2008.024) [-1988.996] (-2013.357) (-2004.924) -- 0:11:58
55000 -- [-1999.097] (-2008.436) (-2016.621) (-1995.261) * [-1987.395] (-1994.267) (-2010.749) (-2024.859) -- 0:11:44
Average standard deviation of split frequencies: 0.028973
56000 -- [-1992.151] (-2005.065) (-2016.905) (-1989.712) * (-1998.002) [-1988.491] (-2001.506) (-2025.086) -- 0:11:48
57000 -- (-2001.554) [-1988.848] (-2020.835) (-1992.918) * [-1990.245] (-1999.667) (-2010.213) (-2013.112) -- 0:11:51
58000 -- [-1987.627] (-2001.560) (-2009.338) (-2012.914) * [-1987.189] (-2019.313) (-2024.947) (-2009.242) -- 0:11:54
59000 -- (-1992.395) (-2010.763) [-1993.913] (-2000.255) * [-1989.052] (-1999.487) (-2027.543) (-2003.478) -- 0:11:41
60000 -- (-1997.053) (-1997.173) (-2003.258) [-1985.731] * [-1988.472] (-1988.906) (-2011.568) (-2004.889) -- 0:11:45
Average standard deviation of split frequencies: 0.029139
61000 -- (-1992.814) (-2016.375) (-2006.780) [-2006.921] * [-1991.908] (-1990.717) (-2008.738) (-1994.045) -- 0:11:48
62000 -- (-2014.162) (-1996.212) (-1998.316) [-1999.008] * (-1992.342) (-1990.119) (-2003.399) [-1988.998] -- 0:11:51
63000 -- (-2011.037) [-1999.367] (-1996.563) (-2010.672) * [-1999.342] (-1986.909) (-1985.443) (-1994.826) -- 0:11:39
64000 -- [-1999.068] (-1995.080) (-2002.302) (-2003.843) * (-2006.079) [-1982.291] (-1992.851) (-2009.889) -- 0:11:42
65000 -- (-2009.052) [-2003.466] (-2000.496) (-2009.734) * (-1998.142) [-1978.599] (-1988.367) (-2004.741) -- 0:11:44
Average standard deviation of split frequencies: 0.026898
66000 -- (-2000.054) [-1983.005] (-2006.088) (-1999.848) * (-2007.586) (-1987.353) [-1990.612] (-2002.991) -- 0:11:47
67000 -- (-1997.352) (-1991.577) (-1996.851) [-2001.010] * (-2004.218) (-1990.968) (-1994.469) [-2003.983] -- 0:11:36
68000 -- (-1997.515) (-1996.227) (-2009.887) [-1985.484] * (-2013.946) (-1996.498) (-2014.123) [-1996.180] -- 0:11:39
69000 -- (-2011.839) (-1992.955) (-1985.429) [-1991.482] * [-2006.274] (-2009.223) (-1995.956) (-1987.852) -- 0:11:41
70000 -- [-1996.295] (-2007.077) (-1995.166) (-2000.156) * (-1996.669) (-1998.210) (-2002.223) [-1976.567] -- 0:11:44
Average standard deviation of split frequencies: 0.028310
71000 -- (-1998.166) (-1997.592) (-2000.511) [-1989.791] * (-2015.460) (-1992.124) (-1994.244) [-1980.783] -- 0:11:33
72000 -- (-2000.238) [-1991.162] (-2021.059) (-1998.032) * (-2003.740) (-1991.073) (-2006.259) [-1996.927] -- 0:11:36
73000 -- (-2006.486) (-2013.339) [-1993.373] (-2006.808) * [-1991.800] (-2000.498) (-1997.097) (-2010.889) -- 0:11:38
74000 -- [-1995.600] (-2001.406) (-1992.936) (-2001.561) * [-2005.974] (-2002.318) (-2018.188) (-2002.026) -- 0:11:40
75000 -- (-1985.332) [-1994.700] (-1980.580) (-2014.680) * [-1997.676] (-1990.210) (-2019.873) (-2005.279) -- 0:11:43
Average standard deviation of split frequencies: 0.026109
76000 -- [-1988.498] (-1999.965) (-2009.097) (-2001.238) * [-1986.407] (-1984.906) (-2009.383) (-1994.873) -- 0:11:33
77000 -- (-1983.901) (-1997.541) [-2000.304] (-1995.922) * [-1985.072] (-1998.400) (-2010.323) (-1984.729) -- 0:11:35
78000 -- [-1997.616] (-2008.975) (-1993.584) (-2004.713) * [-1997.448] (-2010.066) (-1996.979) (-1993.948) -- 0:11:37
79000 -- (-2002.438) (-1993.720) [-1988.748] (-2016.998) * [-1988.318] (-2014.096) (-2009.546) (-2002.835) -- 0:11:27
80000 -- [-1997.258] (-1997.291) (-2000.297) (-2005.487) * (-1998.588) [-1993.256] (-2016.464) (-2024.997) -- 0:11:30
Average standard deviation of split frequencies: 0.022564
81000 -- (-2004.035) (-1996.427) (-1995.518) [-1999.653] * (-2005.652) (-2005.784) [-1985.468] (-2016.835) -- 0:11:32
82000 -- (-1996.918) [-1987.109] (-1998.339) (-2008.493) * (-2001.379) (-2011.926) (-1989.416) [-1992.089] -- 0:11:34
83000 -- (-1996.465) (-2001.971) [-2000.807] (-2011.262) * [-1982.242] (-1990.238) (-1990.089) (-2016.022) -- 0:11:24
84000 -- [-1997.230] (-2001.793) (-2002.198) (-2007.789) * (-1987.871) (-1995.425) [-1989.347] (-2023.829) -- 0:11:27
85000 -- (-2013.251) (-2007.829) [-1990.281] (-2015.464) * (-1992.292) (-2001.916) [-1985.150] (-2014.141) -- 0:11:28
Average standard deviation of split frequencies: 0.023368
86000 -- (-1988.169) (-1997.375) (-1997.577) [-2003.424] * (-2002.516) [-1984.328] (-1992.974) (-2012.707) -- 0:11:30
87000 -- (-1990.009) [-2000.697] (-2009.632) (-1994.058) * (-2007.159) (-1990.916) [-1986.538] (-2011.078) -- 0:11:22
88000 -- (-2012.919) (-2013.220) (-2005.557) [-1981.736] * (-1993.673) (-2001.095) [-1991.906] (-2016.035) -- 0:11:24
89000 -- [-1990.809] (-1989.968) (-2023.433) (-2000.023) * (-2002.396) [-1993.307] (-1999.203) (-1995.327) -- 0:11:25
90000 -- (-1988.555) (-1995.980) [-2002.732] (-1996.178) * (-1995.701) [-1978.839] (-2001.998) (-2014.052) -- 0:11:27
Average standard deviation of split frequencies: 0.023889
91000 -- [-1995.692] (-2005.985) (-2003.624) (-2008.271) * (-1997.005) (-2000.340) (-2017.044) [-1998.959] -- 0:11:19
92000 -- (-1995.837) (-1987.153) [-1998.645] (-2005.909) * (-1993.149) [-1986.428] (-2013.421) (-2010.374) -- 0:11:21
93000 -- (-2013.744) (-2012.201) (-2002.068) [-1991.751] * (-2007.930) [-1980.340] (-2011.111) (-1995.409) -- 0:11:22
94000 -- (-2000.739) (-2000.961) (-2000.081) [-1999.323] * (-1997.833) [-1993.574] (-2012.688) (-2015.481) -- 0:11:24
95000 -- (-2002.787) [-1991.859] (-1989.548) (-1982.127) * (-1990.909) (-2010.598) [-1996.689] (-1992.377) -- 0:11:16
Average standard deviation of split frequencies: 0.023711
96000 -- (-2010.812) (-1996.364) [-1991.142] (-2000.383) * (-1987.585) (-1994.650) (-2003.214) [-1998.403] -- 0:11:18
97000 -- [-1990.996] (-1992.244) (-1987.092) (-2004.368) * (-2013.532) [-1984.149] (-2003.738) (-1990.783) -- 0:11:19
98000 -- (-2001.464) [-1990.108] (-2004.184) (-1998.928) * (-1992.129) (-2003.340) [-1992.157] (-2003.258) -- 0:11:21
99000 -- (-2005.761) [-2002.060] (-2011.433) (-1992.934) * (-2011.413) (-2002.109) (-2005.119) [-1989.660] -- 0:11:13
100000 -- (-2004.068) [-1991.511] (-2008.165) (-1993.592) * (-2000.061) (-1991.550) [-1989.165] (-2006.808) -- 0:11:15
Average standard deviation of split frequencies: 0.023013
101000 -- (-2003.514) (-1996.276) (-2004.928) [-1996.918] * (-1996.835) [-1994.700] (-2002.952) (-2017.960) -- 0:11:16
102000 -- (-2012.356) (-1996.131) (-1983.621) [-1995.798] * (-2004.212) [-2000.520] (-1996.604) (-1998.952) -- 0:11:17
103000 -- (-2008.723) (-2002.742) [-1989.516] (-1992.307) * (-2029.357) (-2006.275) [-2001.805] (-2005.471) -- 0:11:10
104000 -- (-2002.673) [-1996.982] (-1996.607) (-1993.601) * [-2008.550] (-1990.193) (-2014.375) (-2000.277) -- 0:11:12
105000 -- (-1996.005) (-2009.080) (-1995.388) [-1998.017] * (-2031.088) (-1998.767) (-2012.275) [-1985.646] -- 0:11:13
Average standard deviation of split frequencies: 0.020711
106000 -- (-2000.423) (-1998.392) [-1991.685] (-1999.842) * (-2001.038) [-1990.676] (-2003.922) (-2002.379) -- 0:11:14
107000 -- [-2001.952] (-1990.589) (-2000.488) (-2012.780) * (-2010.362) [-1995.333] (-1994.877) (-1997.642) -- 0:11:07
108000 -- (-1989.803) (-2007.206) [-1994.755] (-2025.472) * (-2001.537) [-1987.197] (-2021.311) (-2003.617) -- 0:11:09
109000 -- (-1989.140) (-2004.894) [-1997.806] (-2005.996) * (-2015.065) [-1992.960] (-1996.964) (-2007.483) -- 0:11:10
110000 -- [-1991.059] (-2012.142) (-2012.517) (-1995.589) * (-1997.413) [-1996.293] (-1993.214) (-2008.545) -- 0:11:11
Average standard deviation of split frequencies: 0.018222
111000 -- (-1987.520) (-2017.008) (-1993.690) [-1989.949] * [-1993.283] (-2019.170) (-1999.382) (-1998.936) -- 0:11:04
112000 -- [-1977.709] (-2011.986) (-1999.837) (-1994.475) * [-1982.165] (-2004.429) (-1994.008) (-1992.097) -- 0:11:06
113000 -- (-1991.266) (-2007.722) (-1997.286) [-1989.371] * [-1985.644] (-2002.073) (-2006.542) (-2006.747) -- 0:11:07
114000 -- [-1982.096] (-1997.680) (-2010.138) (-1994.970) * (-1989.382) (-2006.197) [-1991.090] (-1987.595) -- 0:11:08
115000 -- (-1992.057) (-1997.005) [-2001.158] (-2004.407) * (-1992.709) (-2006.255) (-2000.259) [-1993.598] -- 0:11:09
Average standard deviation of split frequencies: 0.017416
116000 -- [-1978.595] (-2006.053) (-1994.638) (-2016.691) * (-2003.209) (-1993.105) (-1999.943) [-1998.833] -- 0:11:03
117000 -- [-1992.758] (-2004.463) (-1994.397) (-2001.950) * (-1992.229) (-2013.529) (-1996.329) [-1987.333] -- 0:11:04
118000 -- [-1989.806] (-2008.616) (-1989.125) (-2000.725) * (-2003.086) (-2011.007) (-2004.114) [-1994.761] -- 0:11:05
119000 -- (-1995.234) (-1997.878) (-2009.089) [-1995.846] * [-1990.050] (-2010.997) (-1992.714) (-2000.362) -- 0:11:06
120000 -- (-1992.456) (-1991.337) [-1992.502] (-1989.376) * (-1993.077) (-2012.895) (-2009.689) [-1998.646] -- 0:11:00
Average standard deviation of split frequencies: 0.016316
121000 -- (-2008.776) (-2000.392) [-1985.483] (-1992.650) * (-1996.442) (-1999.707) [-1990.758] (-2004.485) -- 0:11:01
122000 -- [-1988.032] (-1992.766) (-1984.210) (-1995.737) * (-1985.999) (-1998.983) [-1997.189] (-2009.971) -- 0:11:02
123000 -- (-2010.056) (-2002.356) (-1989.612) [-1985.544] * [-1985.228] (-2001.811) (-1993.250) (-2011.504) -- 0:11:03
124000 -- (-2019.453) (-2010.521) (-1995.460) [-1990.015] * (-1993.294) [-1991.139] (-1993.900) (-2012.463) -- 0:10:57
125000 -- (-2005.683) (-2014.657) (-1988.709) [-1983.253] * (-1999.792) (-1994.315) [-1980.093] (-2005.378) -- 0:10:58
Average standard deviation of split frequencies: 0.018914
126000 -- (-1995.159) (-2005.536) [-1995.445] (-2000.761) * (-1997.470) (-1994.933) [-1990.766] (-2008.211) -- 0:10:58
127000 -- (-2013.010) [-2000.317] (-2002.729) (-2006.105) * (-2004.730) [-1997.758] (-2002.076) (-2004.775) -- 0:10:59
128000 -- (-1996.621) [-2003.763] (-1992.917) (-2018.743) * [-1996.876] (-1997.512) (-1991.120) (-2018.001) -- 0:10:54
129000 -- [-1999.857] (-1988.364) (-1997.275) (-1995.244) * [-1984.198] (-1994.367) (-2002.783) (-2019.092) -- 0:10:54
130000 -- [-1996.465] (-2008.251) (-1984.201) (-2001.393) * [-1993.112] (-2003.927) (-1992.622) (-2004.459) -- 0:10:55
Average standard deviation of split frequencies: 0.021546
131000 -- (-2017.365) (-2024.570) [-1987.308] (-1997.482) * [-1991.466] (-2000.152) (-1977.440) (-2016.332) -- 0:10:56
132000 -- (-2028.670) [-1998.293] (-1997.774) (-2020.287) * (-1990.063) (-2022.319) [-1992.106] (-1999.396) -- 0:10:51
133000 -- (-1999.015) [-1988.815] (-1996.626) (-2004.986) * (-2009.067) [-1997.124] (-1995.123) (-1997.589) -- 0:10:51
134000 -- [-1999.865] (-1987.071) (-2026.585) (-1994.975) * (-1997.648) (-1997.580) (-2000.151) [-1982.512] -- 0:10:52
135000 -- (-2003.626) [-1989.322] (-2000.796) (-1999.911) * (-2010.975) [-2003.652] (-2018.656) (-1989.736) -- 0:10:53
Average standard deviation of split frequencies: 0.022580
136000 -- (-2010.444) (-1991.999) [-2004.946] (-1989.433) * (-2004.714) (-1999.417) (-2008.966) [-1989.520] -- 0:10:54
137000 -- (-2007.281) [-1987.451] (-2008.952) (-2007.525) * (-1990.929) (-2019.022) [-1985.462] (-1989.383) -- 0:10:48
138000 -- (-2006.767) (-1995.494) (-2002.385) [-1996.460] * [-1990.650] (-2010.063) (-1990.010) (-1998.633) -- 0:10:49
139000 -- (-2002.940) (-2000.488) [-1979.489] (-1996.905) * (-2003.364) (-2009.028) (-2009.810) [-1987.370] -- 0:10:50
140000 -- (-2015.194) (-2012.339) (-1987.806) [-1995.542] * (-1997.060) (-2019.213) [-1979.795] (-1998.219) -- 0:10:51
Average standard deviation of split frequencies: 0.022079
141000 -- (-1997.891) (-2008.788) (-2017.843) [-1986.551] * (-1989.855) (-2001.059) [-1974.733] (-1999.267) -- 0:10:45
142000 -- (-2009.024) (-2022.664) [-1989.906] (-1987.357) * (-2009.598) (-2001.640) [-1982.995] (-2008.576) -- 0:10:46
143000 -- (-1997.001) (-2014.266) [-1986.380] (-2001.082) * (-2019.720) (-1995.769) [-1989.440] (-1988.379) -- 0:10:47
144000 -- (-2002.582) (-2000.006) [-1997.588] (-1991.522) * (-1995.773) [-1994.632] (-2003.775) (-2017.534) -- 0:10:47
145000 -- (-2005.306) (-2018.481) [-1994.781] (-1998.124) * (-2006.423) [-1999.484] (-1999.293) (-2014.110) -- 0:10:42
Average standard deviation of split frequencies: 0.022325
146000 -- [-1995.285] (-1991.098) (-2009.095) (-1994.500) * (-2008.597) [-1989.369] (-1996.652) (-2005.510) -- 0:10:43
147000 -- (-1997.977) [-1994.685] (-2018.837) (-2005.475) * (-2016.559) [-1987.883] (-2001.820) (-1990.001) -- 0:10:44
148000 -- (-1998.993) (-1993.160) [-2000.932] (-2003.184) * [-1996.742] (-1998.114) (-1997.977) (-1995.126) -- 0:10:44
149000 -- (-1996.477) [-1983.490] (-2006.890) (-2007.843) * (-1986.205) (-2007.685) [-1991.258] (-2008.198) -- 0:10:45
150000 -- [-1994.493] (-1993.767) (-1999.341) (-2003.658) * [-1989.421] (-2008.789) (-2009.561) (-2002.867) -- 0:10:40
Average standard deviation of split frequencies: 0.023031
151000 -- (-1984.784) [-1987.828] (-2005.961) (-1990.497) * (-1986.245) (-2004.855) [-2004.422] (-2011.610) -- 0:10:40
152000 -- (-2015.143) (-1987.954) [-1998.877] (-2010.590) * (-1987.933) [-1991.519] (-1999.052) (-2010.324) -- 0:10:41
153000 -- (-2004.583) [-1995.908] (-1991.047) (-2011.244) * (-1999.902) (-2005.353) [-1990.979] (-2012.658) -- 0:10:42
154000 -- (-2006.268) [-1996.082] (-2006.885) (-2007.933) * (-1995.391) (-2008.270) (-1988.062) [-1994.776] -- 0:10:37
155000 -- (-2021.735) (-2004.336) (-2005.761) [-1991.209] * (-2000.153) (-2016.511) [-1991.338] (-2002.801) -- 0:10:37
Average standard deviation of split frequencies: 0.021843
156000 -- (-2016.546) (-2003.376) [-1988.786] (-1999.921) * [-1987.669] (-2019.811) (-1996.720) (-2010.643) -- 0:10:38
157000 -- [-1992.758] (-1995.397) (-1995.442) (-2005.657) * (-1997.784) (-2008.678) [-1998.903] (-1995.332) -- 0:10:38
158000 -- (-2012.481) (-2007.392) (-2010.752) [-1987.373] * (-2007.850) (-2021.156) [-1998.846] (-1994.471) -- 0:10:34
159000 -- (-1982.078) (-2006.499) (-1997.494) [-1997.701] * [-1985.544] (-2014.964) (-1991.493) (-2007.743) -- 0:10:34
160000 -- [-1991.570] (-2019.301) (-1982.417) (-1997.576) * [-1998.197] (-2008.367) (-2018.324) (-2008.763) -- 0:10:35
Average standard deviation of split frequencies: 0.021109
161000 -- [-2002.041] (-2021.678) (-1997.027) (-1995.571) * (-1990.170) (-2000.907) (-2005.175) [-1999.100] -- 0:10:35
162000 -- (-1988.914) (-2006.358) [-1993.766] (-2001.120) * (-1986.898) (-2005.677) [-1991.331] (-1994.113) -- 0:10:31
163000 -- (-1986.750) (-2008.107) (-1989.118) [-1995.562] * (-1997.956) [-1993.811] (-1987.254) (-2011.073) -- 0:10:31
164000 -- [-1983.136] (-1993.734) (-2024.018) (-1999.320) * (-1997.627) [-1984.907] (-1991.383) (-2013.808) -- 0:10:32
165000 -- [-1990.490] (-1992.400) (-1993.035) (-2015.930) * (-1994.374) [-1988.956] (-1993.126) (-2010.819) -- 0:10:32
Average standard deviation of split frequencies: 0.019879
166000 -- [-1993.933] (-1990.660) (-2000.384) (-1994.292) * (-1994.373) (-2003.618) [-2004.208] (-2008.673) -- 0:10:28
167000 -- [-1985.484] (-2005.597) (-1996.111) (-2004.982) * [-1993.485] (-2005.603) (-2004.990) (-2002.354) -- 0:10:28
168000 -- [-1994.708] (-1992.662) (-2006.371) (-2005.182) * (-1998.716) (-2015.250) [-1993.681] (-1997.974) -- 0:10:28
169000 -- [-1983.251] (-2011.111) (-2006.575) (-1999.803) * (-1998.495) (-2013.151) [-1987.522] (-2004.420) -- 0:10:29
170000 -- [-1993.981] (-2006.445) (-2012.007) (-2001.360) * [-1987.090] (-2001.454) (-2000.966) (-2014.139) -- 0:10:24
Average standard deviation of split frequencies: 0.018798
171000 -- [-1986.410] (-1990.582) (-2006.373) (-2004.955) * [-1997.600] (-1996.469) (-2000.982) (-2017.094) -- 0:10:25
172000 -- (-1993.261) [-1989.509] (-1999.397) (-2013.874) * [-1993.685] (-2005.009) (-1989.184) (-1991.259) -- 0:10:25
173000 -- (-1983.236) [-2001.726] (-2002.792) (-2001.247) * (-2002.987) (-1998.572) (-1994.027) [-1987.670] -- 0:10:26
174000 -- [-1990.473] (-1992.690) (-1993.783) (-2011.217) * [-1993.918] (-1988.234) (-2001.222) (-2002.067) -- 0:10:21
175000 -- [-1991.482] (-1989.555) (-2009.331) (-2002.358) * [-1993.011] (-1999.978) (-2001.298) (-2020.701) -- 0:10:22
Average standard deviation of split frequencies: 0.018979
176000 -- (-2004.252) (-1997.044) (-1994.447) [-1975.361] * (-2008.422) (-2017.551) (-1995.953) [-1988.670] -- 0:10:22
177000 -- (-2005.103) [-1988.323] (-2003.781) (-1991.553) * (-2005.103) (-1996.567) (-2007.841) [-1986.870] -- 0:10:23
178000 -- (-1990.014) [-1980.589] (-1992.554) (-1996.560) * (-2010.001) [-1985.718] (-2009.142) (-2011.626) -- 0:10:23
179000 -- (-2005.364) (-2011.185) (-2004.170) [-1992.075] * (-2016.837) [-1995.368] (-2004.240) (-2003.580) -- 0:10:19
180000 -- (-1999.957) (-2016.990) (-1995.489) [-1996.959] * (-1996.578) [-1997.560] (-2003.752) (-2016.386) -- 0:10:19
Average standard deviation of split frequencies: 0.017612
181000 -- (-2020.940) (-1996.220) (-1991.270) [-1978.711] * [-2008.304] (-2006.835) (-1995.567) (-1994.360) -- 0:10:19
182000 -- (-1992.416) (-2010.953) (-1990.042) [-2002.816] * (-1998.435) [-2001.664] (-1997.258) (-2007.311) -- 0:10:20
183000 -- (-1990.995) (-2000.821) [-1988.362] (-1985.527) * [-1996.483] (-2006.259) (-2003.297) (-2003.642) -- 0:10:16
184000 -- [-1998.435] (-1994.092) (-1996.500) (-2002.429) * (-2002.001) (-1998.395) (-1998.035) [-1982.739] -- 0:10:16
185000 -- (-2011.224) [-1990.665] (-2013.322) (-1995.081) * [-1994.421] (-2015.214) (-2000.297) (-1996.808) -- 0:10:16
Average standard deviation of split frequencies: 0.018509
186000 -- (-2020.972) (-1989.539) (-2016.133) [-1986.225] * [-1986.382] (-2007.203) (-1991.719) (-1997.651) -- 0:10:17
187000 -- (-1992.880) (-1993.912) (-2000.325) [-1985.437] * (-2003.207) (-1998.620) (-1996.856) [-1990.706] -- 0:10:13
188000 -- (-1999.146) (-1998.720) [-1986.985] (-2001.243) * [-1983.134] (-2001.583) (-2009.433) (-1997.317) -- 0:10:13
189000 -- (-2002.274) (-1994.250) (-1991.499) [-1980.174] * [-1995.986] (-1997.633) (-1986.105) (-1998.067) -- 0:10:13
190000 -- (-2008.348) [-1988.362] (-1995.720) (-1991.464) * (-1999.737) (-2012.938) [-1989.413] (-1996.806) -- 0:10:13
Average standard deviation of split frequencies: 0.017307
191000 -- (-1999.914) (-2007.243) (-1998.558) [-1982.279] * [-1985.692] (-2004.354) (-1997.874) (-1993.938) -- 0:10:09
192000 -- (-1996.891) (-2000.137) (-2002.975) [-1991.893] * (-2005.916) (-2010.176) [-1993.885] (-1999.997) -- 0:10:10
193000 -- (-1999.370) (-1991.315) [-1986.720] (-1999.407) * [-1988.229] (-1997.116) (-1990.158) (-1999.987) -- 0:10:10
194000 -- (-2007.694) (-1993.257) (-1998.561) [-2000.495] * (-1983.931) (-2009.425) (-1996.641) [-1986.398] -- 0:10:10
195000 -- (-2006.185) (-1983.223) (-1995.018) [-2000.690] * (-2000.414) (-2020.712) [-1997.786] (-2000.875) -- 0:10:06
Average standard deviation of split frequencies: 0.016836
196000 -- (-2003.364) (-1981.769) [-1995.585] (-2023.580) * (-1987.441) [-1980.373] (-2000.378) (-2006.423) -- 0:10:07
197000 -- (-2014.844) (-1991.919) [-2001.094] (-2002.101) * [-1979.977] (-2003.501) (-2000.314) (-2003.457) -- 0:10:07
198000 -- (-2002.156) (-2006.150) (-1996.310) [-1993.227] * (-1982.353) (-1986.387) [-2004.992] (-1997.251) -- 0:10:07
199000 -- (-2001.630) (-1993.580) (-2000.666) [-1991.308] * (-1993.242) [-2008.525] (-1996.856) (-2006.268) -- 0:10:03
200000 -- (-1996.129) [-1980.570] (-1986.182) (-1992.884) * [-1979.438] (-2008.526) (-1994.886) (-2017.785) -- 0:10:04
Average standard deviation of split frequencies: 0.016053
201000 -- (-1992.608) (-2000.226) (-2006.307) [-1985.936] * (-1986.686) (-2001.613) [-1994.728] (-1989.090) -- 0:10:04
202000 -- (-2008.814) (-1990.995) (-2008.002) [-1992.580] * (-1995.713) (-1994.579) (-2000.187) [-1989.203] -- 0:10:04
203000 -- (-2000.954) [-1989.433] (-2009.219) (-1980.366) * (-2002.584) (-2009.304) [-2000.370] (-1991.005) -- 0:10:00
204000 -- (-1986.668) [-1981.669] (-1999.816) (-1985.724) * (-2000.106) (-1992.969) (-1997.047) [-1986.526] -- 0:10:00
205000 -- (-2002.125) (-1997.633) (-2003.107) [-1984.506] * (-2002.317) (-2003.080) (-2012.097) [-1978.882] -- 0:10:01
Average standard deviation of split frequencies: 0.015518
206000 -- [-1992.410] (-2016.294) (-2002.310) (-1989.952) * (-2009.103) [-1997.068] (-2005.972) (-1994.641) -- 0:10:01
207000 -- [-1993.975] (-2008.509) (-1999.385) (-1979.332) * (-2002.622) (-1996.169) (-2010.838) [-1985.251] -- 0:09:57
208000 -- (-2022.300) [-1996.208] (-2004.504) (-1992.796) * (-2003.136) (-1995.327) (-1989.263) [-1982.118] -- 0:09:57
209000 -- (-1998.629) [-1988.990] (-2008.871) (-1983.665) * (-2006.233) (-2006.612) (-1991.023) [-1994.528] -- 0:09:57
210000 -- (-1999.068) [-2008.394] (-2005.281) (-1990.746) * (-2005.867) (-1992.716) [-1995.438] (-2009.277) -- 0:09:58
Average standard deviation of split frequencies: 0.015447
211000 -- (-1999.348) (-2012.192) (-1998.205) [-1990.730] * (-2011.284) (-1990.194) [-1994.162] (-2003.314) -- 0:09:54
212000 -- (-1981.211) (-2003.449) [-1993.049] (-2003.490) * (-1998.720) (-2004.762) [-1987.374] (-2011.336) -- 0:09:54
213000 -- [-1997.166] (-2017.973) (-1996.308) (-2006.599) * (-1984.693) (-2022.115) [-1990.908] (-2012.167) -- 0:09:54
214000 -- (-1998.194) [-1994.620] (-2015.148) (-2013.363) * (-1994.790) (-2015.837) [-1988.254] (-1997.545) -- 0:09:55
215000 -- (-2002.593) [-1990.618] (-2002.115) (-2004.031) * (-2011.890) (-2010.960) (-1998.334) [-1982.888] -- 0:09:55
Average standard deviation of split frequencies: 0.014675
216000 -- (-2007.966) (-1995.136) (-2003.300) [-1994.145] * (-1998.071) (-1987.770) [-2002.298] (-1996.008) -- 0:09:51
217000 -- (-2007.017) (-1987.412) (-2005.290) [-1987.620] * [-1992.856] (-1990.587) (-2018.357) (-1982.989) -- 0:09:51
218000 -- (-1998.001) [-1985.319] (-2008.715) (-1998.734) * (-1979.242) (-2004.709) [-1995.497] (-2001.492) -- 0:09:51
219000 -- (-2008.004) [-1989.850] (-1993.775) (-1998.384) * (-1988.538) (-2006.153) [-1992.735] (-1998.533) -- 0:09:51
220000 -- (-2028.313) (-1982.497) [-1985.385] (-2003.497) * (-2000.126) (-2016.612) (-2006.659) [-1998.069] -- 0:09:48
Average standard deviation of split frequencies: 0.014496
221000 -- (-2014.965) [-1972.741] (-2008.152) (-2005.088) * (-2003.870) (-1993.616) (-2009.087) [-1994.379] -- 0:09:48
222000 -- (-2007.735) [-1979.139] (-1990.160) (-2015.433) * (-1977.680) [-1985.936] (-2009.237) (-1996.295) -- 0:09:48
223000 -- (-2013.567) [-1990.456] (-2015.036) (-1998.689) * (-1987.145) (-1990.545) (-2010.455) [-1996.701] -- 0:09:48
224000 -- [-1995.187] (-1998.256) (-2010.949) (-1999.334) * (-1992.520) [-1993.389] (-2006.997) (-2008.708) -- 0:09:48
225000 -- (-1997.867) (-1996.203) [-1995.566] (-1999.325) * [-1991.821] (-1989.609) (-1993.627) (-2005.502) -- 0:09:45
Average standard deviation of split frequencies: 0.014026
226000 -- (-2001.495) [-1995.438] (-2027.662) (-2006.939) * (-1991.494) [-1994.079] (-1987.850) (-2004.915) -- 0:09:45
227000 -- (-1999.406) [-1981.621] (-2015.473) (-1998.463) * (-1982.692) [-1992.396] (-2009.747) (-2005.430) -- 0:09:45
228000 -- [-1998.628] (-2008.413) (-1997.217) (-1987.964) * (-1990.222) (-1998.489) (-1997.242) [-1995.321] -- 0:09:45
229000 -- (-1995.629) (-2008.886) (-2001.471) [-1984.777] * (-1992.623) (-2003.778) (-1990.689) [-1982.481] -- 0:09:42
230000 -- (-1985.232) [-1986.840] (-2017.772) (-1991.005) * (-1988.651) [-1984.764] (-2000.677) (-1990.985) -- 0:09:42
Average standard deviation of split frequencies: 0.014087
231000 -- (-1989.340) (-1988.751) (-2022.576) [-1988.997] * (-1993.913) [-1994.941] (-2005.911) (-1994.304) -- 0:09:42
232000 -- (-2003.160) (-2010.393) (-2004.171) [-1990.392] * [-1992.116] (-2003.645) (-2001.138) (-1995.888) -- 0:09:42
233000 -- [-1989.413] (-2004.347) (-2018.911) (-1993.006) * [-1980.356] (-1991.498) (-2029.459) (-2000.616) -- 0:09:39
234000 -- [-1992.303] (-1994.294) (-2004.186) (-1996.737) * (-1989.470) (-1999.844) (-2011.617) [-1983.664] -- 0:09:39
235000 -- (-1987.808) (-1998.141) [-1989.210] (-1991.357) * [-1987.088] (-1998.839) (-2000.540) (-1992.351) -- 0:09:39
Average standard deviation of split frequencies: 0.013412
236000 -- (-1996.891) (-1996.097) (-2022.017) [-1991.340] * (-2007.885) [-2005.877] (-2003.217) (-2014.491) -- 0:09:39
237000 -- (-1990.976) (-2011.259) (-2022.739) [-1999.289] * (-2012.577) (-1996.959) [-1994.553] (-1997.117) -- 0:09:36
238000 -- [-1994.153] (-1987.207) (-2011.839) (-2004.560) * (-2012.335) (-1989.463) (-2003.711) [-2012.278] -- 0:09:36
239000 -- (-2000.101) [-1989.909] (-2005.369) (-2013.113) * (-2005.590) [-1997.407] (-1997.053) (-2014.238) -- 0:09:36
240000 -- (-2005.893) [-1992.418] (-2012.396) (-2003.508) * (-2000.468) [-1989.897] (-2003.130) (-2000.965) -- 0:09:36
Average standard deviation of split frequencies: 0.014219
241000 -- [-1991.805] (-2000.747) (-2031.218) (-1993.521) * (-2012.736) (-1997.413) [-2000.289] (-1989.417) -- 0:09:36
242000 -- [-1983.151] (-2005.836) (-2005.512) (-2002.251) * (-1992.967) (-2011.604) (-2017.715) [-1992.098] -- 0:09:33
243000 -- (-1990.032) [-2009.571] (-2012.687) (-2007.453) * [-1988.122] (-2000.405) (-2008.965) (-2006.214) -- 0:09:33
244000 -- [-1992.397] (-2003.703) (-2012.165) (-2003.141) * (-1986.314) (-1993.873) [-1989.666] (-2007.192) -- 0:09:33
245000 -- [-1991.791] (-2010.288) (-1986.769) (-2004.818) * [-1986.997] (-2011.634) (-2002.151) (-1994.970) -- 0:09:33
Average standard deviation of split frequencies: 0.014053
246000 -- (-1996.150) (-2003.819) (-1988.136) [-1991.656] * (-2006.384) (-2001.793) [-1996.036] (-2005.767) -- 0:09:30
247000 -- [-1995.388] (-2015.422) (-1997.105) (-2001.889) * (-2002.780) [-1983.926] (-1994.233) (-1987.644) -- 0:09:30
248000 -- (-2006.229) (-2003.581) [-2001.029] (-1992.815) * (-1999.185) (-1992.532) (-1990.215) [-1985.266] -- 0:09:30
249000 -- (-2014.069) (-2003.774) [-1993.910] (-1998.422) * [-1981.544] (-1997.413) (-2002.379) (-1986.538) -- 0:09:30
250000 -- (-2020.051) [-1992.750] (-2002.764) (-1994.303) * (-1996.389) (-2005.265) [-1994.248] (-2002.492) -- 0:09:27
Average standard deviation of split frequencies: 0.014843
251000 -- (-1997.559) (-1997.661) (-2006.179) [-1985.015] * [-1993.872] (-1993.516) (-1997.190) (-2002.917) -- 0:09:26
252000 -- [-1982.437] (-1990.033) (-1997.801) (-2004.235) * (-1979.956) [-1991.043] (-2008.847) (-1985.048) -- 0:09:26
253000 -- (-1992.956) (-2010.673) [-1992.694] (-1990.099) * (-1985.257) (-1987.278) [-1997.824] (-2006.943) -- 0:09:26
254000 -- [-2001.960] (-2004.665) (-2002.305) (-1988.575) * (-2017.736) (-2010.075) [-1992.392] (-2008.629) -- 0:09:23
255000 -- (-2007.138) (-2011.752) (-1986.826) [-1995.521] * (-1992.963) (-2011.234) [-1991.090] (-2008.605) -- 0:09:23
Average standard deviation of split frequencies: 0.015258
256000 -- [-1994.359] (-2003.281) (-1996.647) (-2017.373) * [-1990.071] (-2014.384) (-2002.168) (-2016.195) -- 0:09:23
257000 -- [-2002.316] (-2010.594) (-1996.352) (-2011.059) * (-1991.937) (-2005.364) (-2011.034) [-1999.900] -- 0:09:23
258000 -- (-2020.981) (-1997.126) (-1995.049) [-1982.470] * (-1980.743) (-1986.333) (-1998.698) [-1989.918] -- 0:09:23
259000 -- (-2004.717) (-1989.877) [-1999.155] (-1992.896) * [-1988.205] (-2000.489) (-1998.529) (-2005.345) -- 0:09:20
260000 -- (-2001.365) [-1996.078] (-1991.749) (-1985.896) * [-1984.722] (-2007.719) (-2001.970) (-1995.910) -- 0:09:20
Average standard deviation of split frequencies: 0.015941
261000 -- (-2001.655) (-1996.357) (-2018.625) [-1997.513] * (-1990.042) [-2006.809] (-2006.599) (-2000.261) -- 0:09:20
262000 -- [-2006.000] (-2006.144) (-2011.632) (-1995.704) * (-2005.615) (-2005.584) (-2000.978) [-2001.670] -- 0:09:20
263000 -- (-2013.739) (-2010.563) [-1987.433] (-1991.894) * (-1991.779) (-1999.249) (-2008.036) [-1972.977] -- 0:09:17
264000 -- (-2005.729) (-2018.299) [-1997.392] (-2004.251) * [-1998.257] (-1991.056) (-2004.304) (-2001.411) -- 0:09:17
265000 -- (-2011.443) (-2002.468) [-1989.756] (-2002.927) * (-1994.547) (-1996.509) (-2013.477) [-1993.182] -- 0:09:17
Average standard deviation of split frequencies: 0.016072
266000 -- (-2014.069) [-1995.221] (-1997.165) (-2010.334) * (-2015.454) [-1986.058] (-1988.784) (-2004.631) -- 0:09:17
267000 -- (-1998.054) (-1992.735) [-1991.099] (-2005.263) * (-1986.200) [-1986.885] (-2007.442) (-2013.907) -- 0:09:17
268000 -- (-2026.252) [-1990.169] (-1998.301) (-1998.650) * [-1992.342] (-2020.941) (-2005.440) (-2002.910) -- 0:09:14
269000 -- (-2022.395) (-2001.220) (-2001.154) [-1988.613] * [-1992.861] (-1991.352) (-1988.537) (-2024.196) -- 0:09:14
270000 -- (-1999.478) [-1991.482] (-2004.721) (-1991.267) * (-1996.782) (-1986.386) (-2000.802) [-1991.397] -- 0:09:14
Average standard deviation of split frequencies: 0.015933
271000 -- (-1984.377) [-1989.122] (-2000.701) (-2013.212) * (-1994.843) [-1994.296] (-1993.689) (-2011.011) -- 0:09:14
272000 -- (-2002.004) (-2008.785) [-1986.222] (-2003.408) * (-1989.221) (-2008.814) [-1989.107] (-2013.771) -- 0:09:11
273000 -- (-1997.365) (-2015.591) [-1982.951] (-2008.918) * (-2001.295) [-1994.082] (-2012.513) (-1998.503) -- 0:09:11
274000 -- [-1990.240] (-2013.486) (-2000.968) (-2002.872) * (-1995.786) [-1985.634] (-2012.111) (-1987.800) -- 0:09:11
275000 -- [-1986.863] (-2003.575) (-2006.655) (-1988.587) * (-1997.326) (-1994.050) (-1996.804) [-1997.840] -- 0:09:11
Average standard deviation of split frequencies: 0.014613
276000 -- [-1987.136] (-2002.718) (-1993.081) (-1999.097) * [-1987.554] (-1995.204) (-1999.241) (-1991.846) -- 0:09:10
277000 -- (-1991.016) [-1983.167] (-1990.692) (-2007.511) * (-1988.819) (-1989.164) (-2019.923) [-1989.769] -- 0:09:08
278000 -- (-1981.873) (-1991.613) (-1998.002) [-1997.073] * [-1996.660] (-2020.006) (-2001.888) (-1991.138) -- 0:09:07
279000 -- (-1987.052) (-1995.504) (-2011.654) [-1990.589] * (-2000.588) (-2009.705) [-1992.290] (-2003.074) -- 0:09:07
280000 -- (-2006.417) (-1983.275) [-2004.692] (-1991.258) * (-1989.704) (-2002.832) (-2011.740) [-2006.104] -- 0:09:07
Average standard deviation of split frequencies: 0.014245
281000 -- (-2000.496) (-1987.051) (-1993.204) [-1990.714] * (-1989.179) [-1999.899] (-1996.203) (-2021.307) -- 0:09:05
282000 -- [-2005.617] (-2001.796) (-1987.800) (-1995.372) * [-1991.911] (-1996.103) (-2000.150) (-2011.541) -- 0:09:04
283000 -- [-1993.675] (-1990.453) (-1998.440) (-2008.615) * [-1978.106] (-2000.747) (-1996.664) (-2003.932) -- 0:09:04
284000 -- [-1993.978] (-1990.542) (-2009.888) (-2005.534) * [-1986.979] (-1994.891) (-1997.217) (-2009.690) -- 0:09:04
285000 -- (-2003.022) [-1985.544] (-2017.489) (-1986.298) * [-1981.800] (-1988.145) (-2001.657) (-2015.401) -- 0:09:01
Average standard deviation of split frequencies: 0.013834
286000 -- (-2000.414) (-1985.705) (-2006.493) [-1998.946] * (-1999.968) (-1986.301) (-2009.355) [-2000.506] -- 0:09:01
287000 -- (-2011.074) (-2003.452) (-2008.185) [-1988.635] * (-2011.823) (-1995.090) (-1995.112) [-1979.287] -- 0:09:01
288000 -- (-2004.106) (-1991.680) (-2001.175) [-1990.962] * (-2013.692) (-1991.767) [-1995.142] (-1997.745) -- 0:09:01
289000 -- (-1998.770) [-1983.875] (-1991.622) (-1987.059) * [-1987.992] (-2007.235) (-1993.172) (-2001.128) -- 0:08:58
290000 -- (-1994.218) (-2001.721) [-1983.493] (-1999.953) * (-1996.799) (-1997.889) (-2002.056) [-1992.556] -- 0:08:58
Average standard deviation of split frequencies: 0.013215
291000 -- (-1986.663) (-2018.280) [-1994.510] (-2017.387) * (-1997.335) [-1997.992] (-2014.671) (-2004.520) -- 0:08:58
292000 -- (-1995.276) (-2020.369) [-2000.361] (-1994.776) * (-1996.956) [-1993.341] (-2001.496) (-1992.839) -- 0:08:58
293000 -- (-2000.515) [-2001.058] (-2007.049) (-2008.218) * (-2007.381) [-2002.348] (-2001.968) (-1991.882) -- 0:08:58
294000 -- (-2008.689) [-1999.324] (-1999.287) (-2011.396) * (-1989.222) [-1999.319] (-2006.460) (-1995.136) -- 0:08:55
295000 -- (-2001.795) [-1993.604] (-2008.270) (-1986.663) * [-1992.049] (-2001.927) (-2002.372) (-2024.132) -- 0:08:55
Average standard deviation of split frequencies: 0.013253
296000 -- (-2002.915) (-2003.381) [-1995.561] (-1992.738) * [-1988.542] (-2003.879) (-1991.193) (-2001.943) -- 0:08:55
297000 -- (-1997.445) [-1983.830] (-2005.431) (-2014.944) * (-2006.877) [-2002.292] (-1993.309) (-2000.632) -- 0:08:54
298000 -- (-1993.584) [-1998.141] (-2016.760) (-2007.207) * (-2024.372) (-2005.845) [-1984.751] (-1997.728) -- 0:08:52
299000 -- (-2007.704) (-1997.955) [-1994.412] (-2012.033) * [-1986.996] (-2006.679) (-1996.745) (-2015.669) -- 0:08:52
300000 -- [-2002.969] (-1996.621) (-2002.658) (-1994.945) * (-1997.276) [-1995.097] (-2003.491) (-1999.731) -- 0:08:52
Average standard deviation of split frequencies: 0.013568
301000 -- (-2000.644) (-1994.953) [-2002.412] (-2005.522) * (-1999.688) (-1990.171) (-1986.561) [-1994.905] -- 0:08:51
302000 -- (-2034.511) (-2004.564) [-1996.732] (-1997.490) * (-1999.527) [-1990.749] (-1994.075) (-1998.240) -- 0:08:49
303000 -- (-2006.524) (-1999.402) [-1988.358] (-2007.405) * (-2000.107) [-1995.853] (-2008.176) (-2004.818) -- 0:08:49
304000 -- (-2011.763) (-2000.789) [-1987.453] (-1999.439) * (-2010.766) (-1993.188) (-1983.387) [-1992.654] -- 0:08:48
305000 -- (-1989.945) [-1996.031] (-2009.308) (-1996.032) * (-2002.077) (-1999.170) [-1993.842] (-2011.894) -- 0:08:48
Average standard deviation of split frequencies: 0.013123
306000 -- [-1987.270] (-1993.067) (-2005.946) (-1999.946) * [-1989.736] (-1998.543) (-1985.883) (-2006.577) -- 0:08:46
307000 -- (-2009.035) [-1982.660] (-2021.785) (-1998.014) * [-1986.588] (-1987.801) (-1988.747) (-2006.567) -- 0:08:45
308000 -- (-2005.002) (-1989.262) (-1996.736) [-1990.926] * [-1986.137] (-1990.286) (-1989.273) (-2013.256) -- 0:08:45
309000 -- (-2013.924) [-1994.994] (-1992.076) (-2003.645) * [-1983.282] (-1995.792) (-1992.718) (-1994.218) -- 0:08:45
310000 -- (-1995.171) [-1989.667] (-1994.693) (-2004.296) * (-1997.186) (-1983.924) (-2012.138) [-1976.033] -- 0:08:43
Average standard deviation of split frequencies: 0.014036
311000 -- (-2008.067) (-2008.439) [-1990.739] (-1991.493) * (-1991.501) [-1989.743] (-2009.997) (-1996.248) -- 0:08:42
312000 -- (-2021.930) [-1991.463] (-1997.889) (-2001.584) * (-1997.658) [-1986.543] (-2010.275) (-1999.714) -- 0:08:42
313000 -- (-2004.691) [-1991.285] (-1989.870) (-1998.160) * [-1996.279] (-1989.597) (-2003.995) (-2001.994) -- 0:08:42
314000 -- [-1987.252] (-2000.937) (-2000.384) (-2004.146) * (-2011.297) [-1989.551] (-1995.610) (-2003.660) -- 0:08:39
315000 -- (-1993.233) (-1996.021) (-1998.881) [-2005.883] * (-1998.901) [-1986.770] (-1999.195) (-2008.169) -- 0:08:39
Average standard deviation of split frequencies: 0.014200
316000 -- [-1993.981] (-1989.239) (-2014.210) (-1989.721) * (-2004.986) [-2000.371] (-2017.037) (-1997.826) -- 0:08:39
317000 -- (-1991.908) [-1988.263] (-2004.193) (-1990.810) * [-1993.634] (-1990.953) (-2001.975) (-1996.905) -- 0:08:39
318000 -- [-1995.674] (-1991.856) (-2008.681) (-2003.175) * (-2000.783) [-1997.518] (-1988.429) (-1999.710) -- 0:08:36
319000 -- [-1992.094] (-2011.199) (-2022.715) (-2011.130) * (-2015.111) (-2011.513) (-1986.426) [-2001.478] -- 0:08:36
320000 -- (-1993.342) (-2007.203) (-2012.511) [-1993.408] * (-2019.475) [-1991.317] (-1996.225) (-2003.520) -- 0:08:36
Average standard deviation of split frequencies: 0.013721
321000 -- [-1992.951] (-1996.686) (-2009.722) (-2001.146) * [-1987.530] (-1996.996) (-1998.139) (-1997.218) -- 0:08:36
322000 -- (-2018.039) (-1992.349) (-1990.074) [-1999.059] * (-2008.388) [-1993.001] (-1998.336) (-1990.871) -- 0:08:33
323000 -- (-2011.419) [-1992.776] (-2003.963) (-1997.948) * (-2006.994) [-1991.991] (-1995.416) (-2009.850) -- 0:08:33
324000 -- [-1991.260] (-1994.006) (-2005.526) (-2000.086) * (-2010.345) (-1989.828) [-1986.405] (-2020.575) -- 0:08:33
325000 -- [-1996.554] (-2016.261) (-2014.848) (-2013.477) * (-2006.743) [-1989.779] (-1995.474) (-2015.904) -- 0:08:33
Average standard deviation of split frequencies: 0.013710
326000 -- (-2008.452) (-2000.899) (-1989.618) [-2000.782] * (-1995.505) (-2003.712) [-1991.981] (-2011.091) -- 0:08:30
327000 -- (-1992.089) (-2001.948) [-1995.724] (-2013.303) * (-1990.747) (-2004.814) [-1992.967] (-2009.493) -- 0:08:30
328000 -- [-1991.825] (-2001.025) (-1984.133) (-2017.363) * (-1998.382) (-2014.374) [-1995.290] (-2019.051) -- 0:08:30
329000 -- [-1994.325] (-2012.085) (-2008.381) (-2012.276) * (-2028.956) (-2019.989) [-1983.707] (-1997.310) -- 0:08:29
330000 -- (-1997.012) (-2010.542) (-2007.394) [-1990.716] * (-1998.997) (-1993.431) (-1995.887) [-2000.477] -- 0:08:29
Average standard deviation of split frequencies: 0.013147
331000 -- [-2006.365] (-2014.293) (-2005.108) (-1985.867) * (-2003.865) (-1996.312) [-1989.491] (-2008.957) -- 0:08:27
332000 -- (-2008.445) [-1990.304] (-1990.898) (-1994.438) * (-1997.256) [-2001.511] (-1998.821) (-2011.586) -- 0:08:27
333000 -- (-2016.455) (-1989.877) (-2017.119) [-1992.498] * [-1993.655] (-1996.909) (-1999.242) (-2012.658) -- 0:08:26
334000 -- (-1996.795) [-1986.100] (-2009.781) (-2007.024) * (-2008.871) [-2001.842] (-1996.362) (-1997.838) -- 0:08:26
335000 -- (-1991.029) (-1988.350) [-1977.998] (-1996.944) * (-2014.989) (-1988.669) [-1992.705] (-1991.249) -- 0:08:24
Average standard deviation of split frequencies: 0.012055
336000 -- (-1996.916) (-1992.736) (-1994.846) [-1993.880] * (-2000.999) [-1999.276] (-1998.096) (-1991.056) -- 0:08:23
337000 -- [-1992.265] (-1993.953) (-2002.851) (-1999.715) * [-2002.835] (-2007.407) (-2008.016) (-1999.988) -- 0:08:23
338000 -- (-2009.912) [-1993.256] (-2009.757) (-1998.037) * (-1990.879) (-1997.675) (-2006.978) [-1993.150] -- 0:08:23
339000 -- [-1992.901] (-1990.259) (-1999.161) (-2012.214) * (-1995.463) (-2005.826) (-1994.640) [-1989.289] -- 0:08:21
340000 -- [-1986.975] (-1994.012) (-2031.319) (-1996.988) * [-1980.578] (-2017.394) (-1995.485) (-1999.068) -- 0:08:20
Average standard deviation of split frequencies: 0.011283
341000 -- [-1986.051] (-2001.143) (-1990.995) (-2016.268) * (-1992.157) (-2004.008) (-2000.536) [-1989.885] -- 0:08:20
342000 -- [-1983.270] (-1990.569) (-2012.780) (-1992.798) * (-1993.992) (-2004.250) [-1987.453] (-2003.748) -- 0:08:20
343000 -- [-2002.123] (-1999.077) (-2021.692) (-1989.261) * [-1998.073] (-2004.706) (-1989.480) (-2011.313) -- 0:08:19
344000 -- (-1994.817) (-1992.578) (-2023.485) [-1990.207] * (-1992.018) [-1991.980] (-1994.256) (-2000.628) -- 0:08:17
345000 -- [-1984.693] (-2014.407) (-2001.418) (-2007.474) * (-2002.154) (-2001.975) (-2014.680) [-1992.805] -- 0:08:17
Average standard deviation of split frequencies: 0.011476
346000 -- (-2005.616) [-1996.775] (-2005.809) (-1998.810) * (-1999.556) [-1997.138] (-2001.897) (-2019.439) -- 0:08:17
347000 -- (-2015.247) (-2006.424) [-2016.449] (-2000.222) * (-1993.428) [-1984.889] (-1996.767) (-2012.395) -- 0:08:16
348000 -- (-1982.428) (-2024.945) (-2000.233) [-1986.296] * (-1994.930) [-1996.563] (-2021.478) (-1995.832) -- 0:08:14
349000 -- (-1990.983) (-2001.609) [-1986.896] (-2006.267) * [-1993.275] (-1999.175) (-1992.091) (-1982.528) -- 0:08:14
350000 -- (-2016.136) (-1999.514) (-1997.539) [-2000.108] * (-1993.109) (-1993.904) (-2005.332) [-1984.866] -- 0:08:14
Average standard deviation of split frequencies: 0.010904
351000 -- (-2007.516) [-1998.952] (-2010.568) (-2000.983) * (-2004.349) [-1989.685] (-2000.342) (-1999.699) -- 0:08:13
352000 -- (-1992.637) (-2004.922) [-2006.671] (-1990.001) * (-1994.321) (-2012.058) [-1987.600] (-2002.512) -- 0:08:11
353000 -- (-1996.235) (-2000.724) [-1989.542] (-2006.202) * (-1999.649) (-1989.516) [-1982.215] (-2008.638) -- 0:08:11
354000 -- (-1995.669) (-2001.717) (-2002.933) [-2000.261] * [-1999.448] (-2019.356) (-1994.748) (-2008.425) -- 0:08:10
355000 -- (-2009.044) [-1992.950] (-1996.700) (-1992.594) * (-1991.671) (-2011.335) [-1991.527] (-2015.715) -- 0:08:10
Average standard deviation of split frequencies: 0.011255
356000 -- [-2006.274] (-1991.374) (-2004.806) (-2002.831) * [-1987.362] (-2023.877) (-1990.567) (-2003.454) -- 0:08:10
357000 -- [-1987.523] (-2017.797) (-2000.245) (-1996.561) * (-1987.746) [-2008.629] (-1997.167) (-2012.191) -- 0:08:08
358000 -- (-2008.230) (-1993.392) [-1991.287] (-2005.511) * [-1990.618] (-1993.925) (-1998.525) (-2000.112) -- 0:08:07
359000 -- (-2001.434) (-1995.161) [-1998.931] (-1992.503) * (-1985.129) (-2009.860) [-1995.522] (-2003.164) -- 0:08:07
360000 -- (-1996.923) (-2021.513) (-2013.560) [-1992.034] * (-1996.468) (-1998.325) (-2003.679) [-1984.403] -- 0:08:07
Average standard deviation of split frequencies: 0.011261
361000 -- (-1983.163) [-2004.878] (-2013.285) (-1999.857) * [-1987.973] (-2011.586) (-1982.515) (-1994.319) -- 0:08:05
362000 -- [-1986.404] (-2006.241) (-2005.782) (-2000.116) * [-1993.809] (-2013.618) (-1995.493) (-2012.653) -- 0:08:04
363000 -- [-1975.735] (-2005.447) (-2001.167) (-1991.858) * (-2004.865) (-1999.706) [-1987.338] (-1999.323) -- 0:08:04
364000 -- [-1980.951] (-1996.986) (-2014.142) (-2007.472) * (-2006.969) [-1995.578] (-1990.880) (-2005.437) -- 0:08:03
365000 -- [-1985.065] (-2000.541) (-1997.902) (-1996.214) * (-2001.783) (-2002.877) [-2000.563] (-1989.370) -- 0:08:01
Average standard deviation of split frequencies: 0.010781
366000 -- (-1985.736) [-1983.347] (-2008.749) (-2007.307) * (-2004.149) (-1982.136) (-2004.272) [-1988.799] -- 0:08:01
367000 -- [-1991.285] (-1995.588) (-1990.311) (-1992.175) * (-2009.707) (-1994.920) [-1996.809] (-2002.165) -- 0:08:01
368000 -- [-1986.423] (-2004.710) (-1993.569) (-2003.554) * (-2008.088) (-1997.974) (-2009.409) [-1999.317] -- 0:08:00
369000 -- (-1989.255) (-2018.853) [-1990.964] (-2002.572) * [-1996.832] (-1989.191) (-2011.481) (-2005.631) -- 0:08:00
370000 -- (-1987.941) (-2022.511) [-1980.411] (-2005.034) * (-1991.688) [-1993.974] (-2005.767) (-1997.164) -- 0:07:58
Average standard deviation of split frequencies: 0.010787
371000 -- (-2001.779) (-2003.694) [-1987.072] (-2012.245) * [-1995.840] (-2011.439) (-2002.142) (-2008.983) -- 0:07:58
372000 -- [-2002.062] (-2011.927) (-1996.759) (-2017.477) * (-1993.755) [-1994.305] (-2001.685) (-2006.371) -- 0:07:57
373000 -- (-2011.405) [-1996.714] (-2016.547) (-2001.051) * (-2011.752) [-1983.378] (-2010.286) (-2006.255) -- 0:07:57
374000 -- (-2004.995) [-1995.035] (-1993.842) (-2009.924) * (-2007.604) [-1984.611] (-1994.325) (-2006.456) -- 0:07:55
375000 -- (-2012.302) (-2005.854) (-2003.731) [-1986.261] * [-2005.547] (-2001.628) (-2002.890) (-2012.272) -- 0:07:55
Average standard deviation of split frequencies: 0.009240
376000 -- (-2007.164) (-2001.740) (-1995.743) [-1991.409] * (-1988.739) (-1997.968) [-1987.858] (-2006.519) -- 0:07:54
377000 -- (-2015.094) (-1994.787) (-1996.165) [-1989.340] * (-1993.551) (-2010.736) [-1994.600] (-2013.699) -- 0:07:54
378000 -- (-2012.957) (-1987.475) (-1991.659) [-1997.378] * [-1985.353] (-1997.237) (-1999.398) (-2016.013) -- 0:07:52
379000 -- (-2009.014) (-2006.424) [-1985.530] (-1980.392) * (-2002.166) (-1979.775) [-1988.935] (-1982.894) -- 0:07:51
380000 -- (-2010.023) (-2006.420) (-2000.835) [-1996.626] * (-1990.656) (-2002.913) [-1991.230] (-2005.325) -- 0:07:51
Average standard deviation of split frequencies: 0.009586
381000 -- (-2002.243) (-2002.595) (-1986.543) [-1984.298] * (-1995.814) (-2004.568) (-1995.064) [-1998.762] -- 0:07:51
382000 -- [-1992.597] (-2012.099) (-1997.467) (-1995.031) * [-1987.081] (-2000.396) (-1998.619) (-1994.950) -- 0:07:50
383000 -- (-2002.089) (-2005.897) [-1989.438] (-1992.118) * (-1995.624) [-1991.254] (-2003.680) (-2003.038) -- 0:07:48
384000 -- (-1997.187) (-2021.816) (-1996.625) [-1994.120] * [-1994.529] (-2000.242) (-2005.324) (-1995.617) -- 0:07:48
385000 -- (-1997.817) (-2008.241) (-1997.070) [-1986.541] * [-1995.016] (-2002.829) (-1999.067) (-2010.537) -- 0:07:48
Average standard deviation of split frequencies: 0.010032
386000 -- [-1988.196] (-2012.845) (-2002.506) (-1995.975) * (-1996.947) (-1984.699) (-2003.494) [-2000.751] -- 0:07:47
387000 -- [-1992.543] (-2014.517) (-2014.167) (-1992.760) * (-1990.383) (-1993.311) (-1996.527) [-1993.837] -- 0:07:45
388000 -- (-1996.227) (-2003.736) (-2018.546) [-1987.596] * (-2011.364) [-1984.159] (-2001.054) (-2026.339) -- 0:07:45
389000 -- (-2001.455) (-2013.752) (-2009.738) [-1993.308] * (-2002.732) (-1994.510) (-2007.935) [-2003.205] -- 0:07:44
390000 -- [-1991.277] (-2002.838) (-1990.902) (-1996.768) * [-1999.601] (-1999.612) (-1989.988) (-2006.221) -- 0:07:44
Average standard deviation of split frequencies: 0.009296
391000 -- [-1992.669] (-2003.132) (-1999.942) (-2006.715) * (-1993.087) (-2019.249) [-1982.757] (-2002.671) -- 0:07:42
392000 -- [-1976.395] (-1986.068) (-1989.389) (-2021.574) * [-1987.873] (-1988.931) (-2003.883) (-2025.023) -- 0:07:42
393000 -- [-2002.902] (-1999.180) (-2014.568) (-1993.964) * (-1994.141) (-1989.656) [-2003.748] (-2009.300) -- 0:07:41
394000 -- (-2001.994) [-1990.992] (-2013.654) (-1999.175) * (-1990.678) [-1983.428] (-2011.888) (-2009.560) -- 0:07:41
395000 -- (-2003.694) (-1990.023) [-1995.633] (-2015.373) * (-1988.900) [-1991.009] (-2004.138) (-2017.098) -- 0:07:41
Average standard deviation of split frequencies: 0.009127
396000 -- (-2009.913) [-1984.415] (-2001.839) (-2012.608) * (-1994.910) (-1984.685) [-1985.672] (-2020.941) -- 0:07:39
397000 -- (-2005.081) (-1987.863) (-2010.781) [-1998.147] * (-2005.028) (-1992.841) [-2002.095] (-1990.232) -- 0:07:38
398000 -- (-1998.989) [-1990.091] (-2003.257) (-1998.687) * (-2016.491) (-1987.548) [-1981.301] (-2005.287) -- 0:07:38
399000 -- (-2005.769) [-1990.562] (-2005.387) (-2008.424) * (-1998.116) (-1993.005) [-1989.954] (-2009.994) -- 0:07:37
400000 -- (-2002.781) (-2002.749) (-2004.550) [-1995.743] * (-2006.967) (-1982.771) (-1991.381) [-1989.290] -- 0:07:36
Average standard deviation of split frequencies: 0.009282
401000 -- (-2014.710) (-1987.714) (-2003.084) [-1988.059] * (-1997.860) (-2016.973) (-2004.861) [-1987.428] -- 0:07:35
402000 -- (-2011.315) [-1997.296] (-2006.660) (-2005.772) * (-1994.129) (-2022.289) [-2002.437] (-1995.236) -- 0:07:35
403000 -- (-2021.288) [-1985.737] (-1982.364) (-1991.416) * (-2003.998) (-2020.633) [-1987.552] (-2003.713) -- 0:07:34
404000 -- (-1994.237) [-1992.470] (-1994.696) (-2011.503) * (-2000.912) (-2006.323) (-1984.279) [-1995.838] -- 0:07:32
405000 -- [-1987.086] (-1989.357) (-2005.828) (-2005.141) * (-2003.654) [-1996.776] (-2001.251) (-2012.673) -- 0:07:32
Average standard deviation of split frequencies: 0.009762
406000 -- (-2011.919) [-1982.251] (-2003.636) (-1989.280) * (-2000.860) (-1989.416) [-1984.455] (-2005.546) -- 0:07:32
407000 -- (-2014.240) (-1990.171) [-2004.858] (-1989.360) * (-1984.472) [-1987.797] (-2005.661) (-2005.721) -- 0:07:31
408000 -- [-2000.468] (-2008.874) (-2002.860) (-1995.604) * [-1982.452] (-1982.752) (-1997.708) (-2009.976) -- 0:07:29
409000 -- (-1996.707) [-1978.708] (-1999.324) (-2019.582) * (-1995.898) (-1994.967) [-1988.491] (-2011.275) -- 0:07:29
410000 -- (-2007.119) (-1985.629) [-1993.067] (-2009.163) * (-1990.673) (-2006.530) [-1994.287] (-2002.872) -- 0:07:28
Average standard deviation of split frequencies: 0.010044
411000 -- (-2024.679) (-1994.274) [-1999.868] (-2010.808) * (-2007.074) (-1999.058) (-2004.289) [-1990.712] -- 0:07:28
412000 -- (-2007.694) (-2005.211) [-1997.791] (-1994.749) * (-1985.612) [-1990.625] (-2015.376) (-1994.409) -- 0:07:26
413000 -- (-1989.212) [-1994.885] (-2008.208) (-2004.130) * (-2000.362) [-1987.058] (-1992.957) (-1994.811) -- 0:07:26
414000 -- (-1984.564) (-2004.415) (-2017.468) [-1994.618] * [-1987.210] (-2014.545) (-1999.208) (-1997.457) -- 0:07:25
415000 -- (-1984.239) [-1993.768] (-2005.296) (-2002.841) * [-1997.460] (-2008.559) (-2005.808) (-1990.640) -- 0:07:25
Average standard deviation of split frequencies: 0.009025
416000 -- [-1988.493] (-2014.200) (-1992.082) (-2004.001) * (-2006.522) (-1983.867) [-1986.403] (-2013.350) -- 0:07:25
417000 -- (-2003.138) (-2021.021) [-1992.542] (-2002.879) * (-1997.252) [-1983.488] (-2002.172) (-1997.717) -- 0:07:23
418000 -- (-2005.805) (-2010.939) [-1988.493] (-2017.036) * (-1986.913) [-1998.508] (-1995.753) (-2008.352) -- 0:07:22
419000 -- (-2000.139) (-1997.982) [-1983.727] (-2006.941) * (-1990.077) [-1995.966] (-2001.966) (-2008.647) -- 0:07:22
420000 -- (-2006.523) [-1989.935] (-1986.636) (-2011.945) * [-1987.368] (-1987.125) (-1983.208) (-1992.868) -- 0:07:21
Average standard deviation of split frequencies: 0.009445
421000 -- (-2009.407) (-1997.651) (-1994.134) [-1987.245] * (-1992.496) (-1993.906) (-1990.148) [-1991.014] -- 0:07:20
422000 -- (-2013.432) (-1987.353) (-2008.439) [-1991.776] * (-1999.119) [-1984.669] (-1992.056) (-2009.667) -- 0:07:19
423000 -- (-2013.776) (-1992.992) [-1992.937] (-2000.710) * (-2001.809) (-1996.204) (-1988.226) [-1989.666] -- 0:07:19
424000 -- (-2012.913) (-1990.498) (-1998.733) [-2001.039] * (-1999.670) (-2003.928) (-1989.270) [-1991.642] -- 0:07:17
425000 -- [-1994.942] (-1984.074) (-2013.552) (-1996.066) * [-1990.228] (-1991.846) (-1998.893) (-2006.340) -- 0:07:17
Average standard deviation of split frequencies: 0.009445
426000 -- (-1993.183) (-1982.154) [-1999.631] (-1988.413) * (-2027.768) (-2001.420) [-1987.472] (-1999.555) -- 0:07:16
427000 -- [-1984.381] (-1990.048) (-2006.956) (-2008.035) * (-2005.240) [-1988.798] (-1986.241) (-2013.138) -- 0:07:16
428000 -- [-1984.999] (-1992.946) (-2000.257) (-2006.505) * (-1992.332) (-1993.411) [-1997.607] (-2004.088) -- 0:07:14
429000 -- (-2001.171) [-1990.425] (-2015.795) (-1999.971) * (-1991.680) (-2001.798) [-1983.282] (-2005.555) -- 0:07:13
430000 -- (-2004.363) [-1996.216] (-2004.022) (-1999.197) * [-1994.378] (-2005.080) (-1990.771) (-1999.048) -- 0:07:13
Average standard deviation of split frequencies: 0.008718
431000 -- (-1996.165) (-1989.006) [-1994.776] (-2013.301) * (-2011.368) (-2017.642) [-2002.858] (-1991.012) -- 0:07:13
432000 -- [-1993.881] (-2015.156) (-2015.530) (-2004.550) * (-1997.719) (-1999.396) (-2009.844) [-1991.215] -- 0:07:11
433000 -- (-2005.672) (-1996.983) (-2006.596) [-1998.544] * (-1996.549) (-2005.219) (-2008.350) [-1992.180] -- 0:07:10
434000 -- [-1995.770] (-1997.924) (-2022.805) (-1996.749) * (-2006.963) (-2009.959) (-2010.856) [-1988.710] -- 0:07:10
435000 -- (-1983.385) (-1998.758) (-1999.072) [-1993.036] * (-2018.867) (-1993.120) [-1990.287] (-1995.255) -- 0:07:09
Average standard deviation of split frequencies: 0.008997
436000 -- (-2003.011) [-1991.242] (-1994.016) (-2003.713) * [-1997.530] (-2011.093) (-1989.207) (-2020.282) -- 0:07:09
437000 -- (-2010.394) (-1999.982) [-1989.207] (-2010.150) * (-1991.989) [-1988.329] (-2000.801) (-1996.002) -- 0:07:07
438000 -- (-1994.308) (-1992.517) [-1990.265] (-2000.602) * (-1991.066) [-1996.292] (-2000.516) (-2015.536) -- 0:07:07
439000 -- (-2001.327) (-1987.590) (-1992.818) [-1990.336] * [-1984.759] (-1993.189) (-1999.475) (-1996.287) -- 0:07:06
440000 -- (-2003.704) (-2002.021) [-1997.626] (-2004.707) * [-1990.456] (-1994.803) (-1987.248) (-1991.731) -- 0:07:06
Average standard deviation of split frequencies: 0.009131
441000 -- (-2009.927) (-2000.662) (-1997.189) [-1990.398] * (-2002.714) (-2000.531) (-1984.696) [-1996.784] -- 0:07:04
442000 -- (-2014.309) [-1987.431] (-1997.074) (-1992.958) * (-2007.364) (-2016.539) [-1984.401] (-1992.866) -- 0:07:04
443000 -- (-2005.389) [-1985.843] (-1991.988) (-2002.026) * (-1991.078) (-2005.230) [-1982.446] (-2002.840) -- 0:07:03
444000 -- (-1999.405) (-1992.071) [-1991.472] (-2016.678) * (-1986.772) (-1989.647) [-1996.974] (-2003.808) -- 0:07:03
445000 -- [-1987.426] (-2008.585) (-1994.153) (-2017.254) * (-1998.678) [-1987.340] (-2007.781) (-2000.740) -- 0:07:01
Average standard deviation of split frequencies: 0.008682
446000 -- (-2003.443) (-2014.319) (-1989.899) [-1986.492] * (-1993.107) [-1986.555] (-1988.684) (-2035.967) -- 0:07:01
447000 -- (-2010.099) (-2010.572) (-1992.941) [-1987.190] * [-1982.738] (-1984.243) (-1999.458) (-2034.203) -- 0:07:00
448000 -- (-2019.114) (-2006.402) (-1989.257) [-2000.411] * (-1987.634) [-1988.386] (-2014.487) (-2005.859) -- 0:07:00
449000 -- (-1988.869) (-2010.864) [-1983.265] (-2007.319) * (-1990.731) [-1999.013] (-2009.770) (-2003.021) -- 0:06:59
450000 -- (-1992.986) (-1996.816) [-1999.425] (-1995.245) * [-1997.481] (-1992.417) (-1999.067) (-2004.907) -- 0:06:58
Average standard deviation of split frequencies: 0.009190
451000 -- [-1986.870] (-1992.890) (-1983.479) (-2000.342) * (-2015.062) (-1994.609) (-2008.180) [-1992.294] -- 0:06:57
452000 -- (-1991.475) [-1994.705] (-2020.629) (-1998.907) * (-1997.769) (-1987.827) (-1995.253) [-1987.462] -- 0:06:57
453000 -- [-2003.711] (-2006.178) (-2012.082) (-1987.028) * (-1993.486) [-1990.344] (-1992.486) (-1988.783) -- 0:06:56
454000 -- (-2003.671) (-2008.429) (-1990.153) [-1988.392] * (-2004.970) (-1990.515) (-2016.437) [-1974.637] -- 0:06:54
455000 -- (-1988.218) (-1993.860) [-1989.636] (-2003.036) * (-2003.024) [-1992.612] (-2010.318) (-2000.063) -- 0:06:54
Average standard deviation of split frequencies: 0.008676
456000 -- (-1994.131) (-2000.307) [-1992.581] (-1991.380) * (-2005.583) [-1991.590] (-1993.705) (-2015.455) -- 0:06:53
457000 -- (-1999.626) (-2000.127) (-2006.849) [-1982.924] * [-1992.932] (-1994.612) (-1994.738) (-2002.354) -- 0:06:53
458000 -- (-2001.540) (-1996.292) (-1999.851) [-1995.563] * (-2024.929) (-2000.805) (-2002.828) [-2004.844] -- 0:06:53
459000 -- (-2018.643) (-1987.604) (-2009.767) [-1992.419] * (-2019.838) (-2001.547) [-1997.567] (-2008.438) -- 0:06:51
460000 -- (-2013.504) (-1993.398) [-1995.837] (-1997.430) * (-2010.146) (-2008.837) [-1993.601] (-2000.139) -- 0:06:50
Average standard deviation of split frequencies: 0.009172
461000 -- (-2000.153) [-1991.602] (-2013.310) (-2003.551) * (-1998.122) [-1988.712] (-1995.560) (-2002.684) -- 0:06:50
462000 -- (-2004.433) (-1994.277) (-1997.927) [-2000.246] * (-2013.237) (-2000.826) (-2006.824) [-1997.820] -- 0:06:49
463000 -- (-1991.231) (-1990.068) [-1992.123] (-1997.763) * (-1999.037) [-1987.277] (-1996.855) (-1998.854) -- 0:06:48
464000 -- [-1993.839] (-1994.441) (-2003.181) (-2000.575) * (-2010.404) (-1992.295) (-1993.809) [-1992.197] -- 0:06:47
465000 -- (-1983.235) [-1978.402] (-2011.308) (-2019.828) * (-2009.204) (-2001.869) [-1990.496] (-1993.693) -- 0:06:47
Average standard deviation of split frequencies: 0.009329
466000 -- (-1991.668) (-1985.449) (-2006.137) [-1992.752] * (-2011.165) (-2013.687) [-1985.091] (-1988.394) -- 0:06:46
467000 -- (-2000.352) [-1986.526] (-2004.888) (-2006.411) * [-1992.568] (-1997.782) (-1997.853) (-2002.200) -- 0:06:45
468000 -- (-1993.208) (-2009.798) [-1986.691] (-1993.949) * (-2006.231) [-1995.314] (-2025.945) (-1996.292) -- 0:06:44
469000 -- (-2000.562) (-1995.543) (-1996.929) [-1993.319] * [-1992.696] (-2006.090) (-2012.901) (-1993.187) -- 0:06:44
470000 -- (-1989.846) [-1986.714] (-2004.292) (-1981.840) * (-1996.353) (-1987.691) [-1996.358] (-2002.898) -- 0:06:43
Average standard deviation of split frequencies: 0.009125
471000 -- (-2016.333) [-2004.407] (-1991.644) (-2009.998) * (-2001.752) (-1979.494) (-2016.312) [-2001.368] -- 0:06:43
472000 -- (-1995.557) (-2005.759) (-1993.822) [-1988.394] * (-1997.824) [-2000.810] (-2009.189) (-2005.286) -- 0:06:41
473000 -- (-1994.771) [-1996.976] (-1990.041) (-2008.218) * (-2003.788) (-1990.713) [-1989.431] (-1998.513) -- 0:06:41
474000 -- [-1993.478] (-1994.759) (-1998.742) (-2006.891) * [-1999.178] (-1988.854) (-1986.063) (-2024.996) -- 0:06:40
475000 -- [-1980.851] (-2009.158) (-1999.745) (-2017.430) * (-2007.030) [-1980.571] (-1991.199) (-2000.705) -- 0:06:40
Average standard deviation of split frequencies: 0.009243
476000 -- (-1989.969) [-1996.863] (-2006.202) (-1991.232) * (-1999.393) (-1994.584) (-2001.724) [-2004.335] -- 0:06:38
477000 -- (-2004.828) (-2029.169) [-1990.288] (-1986.588) * [-1997.292] (-1992.446) (-2000.098) (-2016.137) -- 0:06:38
478000 -- (-2007.061) (-2014.571) [-2000.787] (-2015.697) * (-1993.307) (-1993.609) (-2002.360) [-1990.671] -- 0:06:37
479000 -- [-1994.758] (-1995.459) (-2007.562) (-2012.437) * (-2003.658) (-2018.361) (-2007.345) [-1982.666] -- 0:06:37
480000 -- [-1986.765] (-1991.921) (-2006.887) (-2022.756) * (-1985.363) (-1995.860) [-1988.082] (-1998.996) -- 0:06:35
Average standard deviation of split frequencies: 0.008899
481000 -- (-1995.659) (-1989.830) (-1995.437) [-2000.754] * [-1990.211] (-1986.847) (-2010.540) (-1992.142) -- 0:06:34
482000 -- (-2001.865) (-2002.070) [-1983.888] (-2009.718) * (-2010.869) (-2007.928) [-1990.864] (-2000.947) -- 0:06:34
483000 -- (-2000.539) (-1994.855) (-1992.132) [-1995.777] * (-2003.104) (-2005.809) [-1996.836] (-1996.309) -- 0:06:33
484000 -- (-2002.449) (-2001.936) (-1987.685) [-1983.344] * (-2012.364) (-2002.733) [-1996.160] (-1997.613) -- 0:06:33
485000 -- (-1994.791) (-2018.816) [-1999.092] (-1999.962) * (-2001.263) (-1999.598) (-2000.718) [-2003.729] -- 0:06:31
Average standard deviation of split frequencies: 0.008730
486000 -- (-1999.454) (-2017.547) (-1997.709) [-2001.067] * (-2004.833) (-1998.674) (-2006.007) [-1989.829] -- 0:06:31
487000 -- (-1994.784) (-2014.945) [-1983.586] (-1990.310) * (-1993.053) [-1987.514] (-2001.632) (-1998.108) -- 0:06:30
488000 -- (-1994.812) (-1999.142) [-1987.708] (-1988.065) * (-1999.114) (-2015.201) [-1981.729] (-2001.606) -- 0:06:30
489000 -- [-1986.111] (-1992.237) (-1991.586) (-1994.554) * [-1982.495] (-1998.471) (-1975.000) (-2009.238) -- 0:06:28
490000 -- (-1996.570) [-2000.542] (-2004.302) (-2020.816) * [-1989.722] (-1993.802) (-2003.122) (-1990.147) -- 0:06:28
Average standard deviation of split frequencies: 0.008469
491000 -- (-1988.302) [-2008.965] (-2021.988) (-2028.555) * (-2013.490) (-2004.567) (-2000.804) [-1992.592] -- 0:06:27
492000 -- [-2000.707] (-2000.485) (-1991.005) (-2025.077) * (-2008.304) (-1999.618) (-2014.825) [-1986.428] -- 0:06:27
493000 -- (-1985.817) (-2003.041) (-1990.686) [-2010.136] * (-2000.932) [-1989.823] (-2001.753) (-1996.921) -- 0:06:26
494000 -- (-1999.270) (-2000.950) (-2006.465) [-2010.352] * (-2006.032) (-1989.464) [-1991.843] (-1997.628) -- 0:06:25
495000 -- (-1986.492) (-1990.593) [-1992.225] (-2000.151) * (-2002.489) (-1994.549) [-1981.582] (-1993.107) -- 0:06:24
Average standard deviation of split frequencies: 0.008765
496000 -- (-2007.234) (-1997.537) [-1988.430] (-2002.735) * (-2021.311) (-1996.497) (-1992.041) [-1991.024] -- 0:06:24
497000 -- (-1990.906) (-1995.761) [-1988.002] (-1987.025) * (-2014.323) (-2008.930) (-1999.952) [-2001.474] -- 0:06:23
498000 -- (-2009.028) (-2005.121) [-1997.285] (-1997.282) * (-2002.317) (-1989.711) (-1989.441) [-1987.145] -- 0:06:22
499000 -- (-2000.347) (-2024.506) (-2004.925) [-1991.341] * [-2005.068] (-2007.370) (-2001.416) (-2006.116) -- 0:06:21
500000 -- (-1982.118) (-2001.202) [-1995.622] (-2003.598) * (-1995.586) (-2003.431) [-1989.090] (-2001.511) -- 0:06:21
Average standard deviation of split frequencies: 0.008927
501000 -- (-1999.873) (-2008.294) [-1992.294] (-1998.549) * (-2014.226) [-2001.745] (-1989.924) (-1999.496) -- 0:06:20
502000 -- (-1989.920) (-2000.331) (-2022.647) [-1986.003] * (-1990.880) [-1992.758] (-1998.810) (-2016.742) -- 0:06:18
503000 -- [-1981.655] (-2003.590) (-2022.553) (-1990.917) * (-2001.611) (-1989.638) (-1981.127) [-1989.156] -- 0:06:18
504000 -- (-1994.971) [-1994.197] (-2009.134) (-2000.323) * (-1998.572) (-2000.495) [-1979.657] (-2004.726) -- 0:06:17
505000 -- (-2004.551) [-1986.044] (-2008.163) (-2005.349) * (-1995.539) (-1989.115) [-1994.982] (-1989.762) -- 0:06:17
Average standard deviation of split frequencies: 0.009316
506000 -- (-2009.054) [-1991.093] (-2004.667) (-1993.611) * (-1988.031) [-1983.132] (-2011.056) (-1987.292) -- 0:06:16
507000 -- (-1993.764) (-2007.962) (-2008.972) [-1981.144] * (-2010.576) (-1989.168) [-1986.231] (-2001.607) -- 0:06:15
508000 -- (-1987.979) (-2015.749) (-1998.517) [-1987.919] * (-1998.232) (-2006.544) [-1992.801] (-2012.151) -- 0:06:14
509000 -- (-2002.409) (-2000.070) [-1991.061] (-1996.271) * (-2000.093) [-1990.456] (-2020.820) (-2004.615) -- 0:06:14
510000 -- [-1989.334] (-2002.122) (-2011.283) (-1989.074) * [-1990.092] (-2000.273) (-1991.812) (-2002.661) -- 0:06:13
Average standard deviation of split frequencies: 0.009641
511000 -- (-2003.152) (-1996.456) [-1999.335] (-1991.086) * (-1996.340) [-1989.181] (-2001.341) (-1994.998) -- 0:06:12
512000 -- (-2008.781) (-1993.226) [-1985.331] (-2005.179) * [-1992.686] (-1998.289) (-1991.657) (-1998.907) -- 0:06:11
513000 -- (-1998.499) [-1986.363] (-2016.110) (-2004.763) * (-1990.144) (-2004.250) (-2002.715) [-1988.361] -- 0:06:11
514000 -- (-1993.727) (-2001.432) [-2002.280] (-2007.422) * [-1994.232] (-2002.994) (-2010.259) (-1998.767) -- 0:06:10
515000 -- (-2013.402) [-1992.580] (-1998.595) (-1999.678) * [-1998.846] (-2012.737) (-2002.893) (-1994.137) -- 0:06:09
Average standard deviation of split frequencies: 0.009508
516000 -- (-1997.475) (-2008.147) (-1987.975) [-1995.741] * [-1979.548] (-2020.453) (-2010.386) (-2000.019) -- 0:06:08
517000 -- (-1991.681) [-1998.981] (-1987.515) (-1997.632) * (-1989.466) (-2033.528) [-1992.695] (-1997.534) -- 0:06:08
518000 -- [-1984.842] (-2005.625) (-1985.555) (-1991.912) * (-1982.684) [-1983.952] (-2006.805) (-2007.177) -- 0:06:07
519000 -- [-1985.297] (-2000.045) (-1993.892) (-2000.206) * (-1988.133) [-1994.956] (-2023.789) (-1987.925) -- 0:06:07
520000 -- (-2006.265) (-2009.597) [-1999.686] (-1996.539) * [-1978.516] (-2004.692) (-2002.757) (-2001.737) -- 0:06:05
Average standard deviation of split frequencies: 0.009792
521000 -- (-2034.521) (-1997.532) (-1994.753) [-1998.871] * [-1997.638] (-1999.174) (-2004.629) (-2007.659) -- 0:06:04
522000 -- (-2007.975) [-1993.074] (-2011.770) (-2006.913) * [-1994.856] (-1998.097) (-1989.236) (-2009.199) -- 0:06:04
523000 -- (-2021.630) [-1996.599] (-2007.728) (-2008.725) * (-1990.892) (-2022.620) (-2003.649) [-1990.492] -- 0:06:03
524000 -- (-2004.992) [-1988.823] (-2033.117) (-1993.779) * [-1990.825] (-2009.218) (-2009.951) (-1999.760) -- 0:06:02
525000 -- (-2017.752) [-1990.252] (-2009.032) (-1992.892) * (-1994.315) (-2016.999) [-2006.351] (-1996.756) -- 0:06:01
Average standard deviation of split frequencies: 0.009442
526000 -- (-1992.417) (-1998.772) [-1997.971] (-1988.115) * (-1999.320) [-1991.628] (-2008.962) (-2011.646) -- 0:06:01
527000 -- (-2000.039) [-1992.148] (-1996.448) (-1992.257) * (-1992.548) (-1994.214) [-2000.124] (-2009.150) -- 0:06:00
528000 -- (-2009.042) (-1998.917) (-2000.702) [-1996.433] * (-1997.824) [-1984.827] (-1998.987) (-2010.216) -- 0:05:59
529000 -- (-2005.282) (-1993.476) [-1990.205] (-1998.982) * [-1994.617] (-2003.971) (-1992.223) (-2015.939) -- 0:05:58
530000 -- (-2021.604) [-1987.829] (-1997.720) (-1993.204) * (-1991.248) (-2004.018) [-1989.026] (-2016.889) -- 0:05:58
Average standard deviation of split frequencies: 0.009772
531000 -- (-2008.568) [-1997.332] (-1998.067) (-2000.689) * (-1998.937) (-2004.169) [-1996.228] (-2005.529) -- 0:05:57
532000 -- (-2005.179) [-1993.412] (-2005.181) (-2028.328) * (-2005.900) (-2005.993) [-1983.974] (-1993.497) -- 0:05:56
533000 -- (-1996.822) (-2032.689) [-1993.080] (-2003.398) * (-2007.633) (-2002.578) [-1997.026] (-2001.971) -- 0:05:55
534000 -- (-1995.834) (-2006.227) (-1995.795) [-1993.834] * (-1997.658) (-2000.406) (-2010.086) [-1987.349] -- 0:05:55
535000 -- [-1988.615] (-1999.207) (-2002.616) (-1992.153) * (-2004.954) (-1997.776) (-2005.552) [-1989.486] -- 0:05:54
Average standard deviation of split frequencies: 0.009023
536000 -- (-1998.374) (-1985.258) (-2014.767) [-1988.645] * (-2009.367) (-2004.762) (-2012.267) [-1990.909] -- 0:05:53
537000 -- (-2000.978) [-1994.837] (-2002.203) (-1993.288) * (-2002.198) [-1997.891] (-1998.578) (-2015.813) -- 0:05:52
538000 -- (-1987.902) (-2008.304) (-2011.689) [-1991.008] * (-2000.361) [-1991.088] (-1996.452) (-2004.028) -- 0:05:52
539000 -- [-1993.015] (-2011.888) (-2001.863) (-1996.421) * (-2009.045) (-1992.574) [-1988.373] (-1994.283) -- 0:05:51
540000 -- (-1996.117) (-2017.585) (-1996.288) [-2000.697] * (-1991.284) [-1986.402] (-2003.043) (-1993.745) -- 0:05:50
Average standard deviation of split frequencies: 0.008816
541000 -- (-2013.370) (-2002.912) [-2000.588] (-1999.798) * (-1994.357) (-1982.760) (-2008.487) [-1979.539] -- 0:05:49
542000 -- [-1993.678] (-2008.250) (-2014.348) (-1988.841) * (-1987.444) (-1992.866) (-2008.512) [-1997.513] -- 0:05:48
543000 -- [-1985.754] (-2012.860) (-1998.424) (-1997.265) * (-1999.993) [-1989.395] (-1994.822) (-2009.737) -- 0:05:48
544000 -- (-2002.328) (-2012.075) [-1996.793] (-1985.565) * (-1991.417) (-2006.674) [-1990.621] (-1989.669) -- 0:05:47
545000 -- (-2002.548) [-2002.569] (-2004.746) (-1986.136) * (-1991.788) [-1989.155] (-2003.770) (-1990.866) -- 0:05:46
Average standard deviation of split frequencies: 0.008922
546000 -- (-2001.679) (-1984.454) [-1996.706] (-2010.492) * (-1997.554) [-1995.050] (-2015.879) (-1976.439) -- 0:05:45
547000 -- (-1999.845) [-1991.006] (-1994.575) (-2004.327) * [-1993.803] (-1998.430) (-2028.484) (-1999.133) -- 0:05:45
548000 -- [-1984.316] (-2011.802) (-1996.877) (-2007.530) * (-1992.042) (-1995.635) [-2001.370] (-1997.318) -- 0:05:43
549000 -- [-1982.547] (-2004.589) (-1995.437) (-1985.811) * (-1996.843) (-1994.099) (-1986.413) [-1996.491] -- 0:05:43
550000 -- (-2000.131) (-1989.683) (-2003.012) [-1986.651] * (-1993.297) (-1992.332) [-2000.514] (-2004.118) -- 0:05:42
Average standard deviation of split frequencies: 0.008878
551000 -- (-2003.248) (-1993.646) (-2002.790) [-1987.638] * [-2004.106] (-2009.486) (-1985.698) (-2001.810) -- 0:05:42
552000 -- (-1991.153) (-1997.647) (-2012.731) [-1984.983] * (-1999.121) (-2003.808) (-1992.200) [-1995.666] -- 0:05:40
553000 -- (-2010.946) (-1976.400) [-1994.578] (-2007.159) * (-1981.457) [-1995.102] (-2012.246) (-1996.472) -- 0:05:40
554000 -- (-2013.594) (-1985.048) [-1992.419] (-2002.669) * [-1984.735] (-2000.271) (-1998.637) (-1996.858) -- 0:05:39
555000 -- (-2002.756) (-1990.268) [-1993.997] (-2004.488) * (-1994.386) (-2005.783) (-2006.539) [-1994.216] -- 0:05:39
Average standard deviation of split frequencies: 0.009075
556000 -- [-2001.127] (-2005.064) (-2000.346) (-2010.436) * (-2005.414) [-1994.617] (-2002.567) (-2004.668) -- 0:05:38
557000 -- (-2000.136) (-2013.775) [-2002.140] (-1994.021) * (-2003.856) (-2000.292) [-1993.204] (-2016.238) -- 0:05:37
558000 -- (-2008.060) (-2009.442) [-1982.492] (-1980.818) * (-2016.734) [-2001.152] (-1993.405) (-2021.904) -- 0:05:36
559000 -- (-1998.498) (-2019.888) [-1995.401] (-1986.113) * (-2020.792) (-2000.019) [-1996.659] (-2016.406) -- 0:05:36
560000 -- (-1997.520) (-2017.128) [-1980.065] (-2006.204) * [-1984.959] (-2010.061) (-1988.448) (-1999.882) -- 0:05:35
Average standard deviation of split frequencies: 0.009609
561000 -- (-2009.409) (-2003.222) [-1993.900] (-1995.128) * (-1992.189) [-1980.527] (-1993.708) (-1998.662) -- 0:05:34
562000 -- (-2006.306) (-2004.988) (-1985.729) [-2001.534] * [-1984.488] (-1997.396) (-2007.628) (-1986.588) -- 0:05:33
563000 -- (-2012.160) (-1984.109) [-1996.165] (-2009.124) * (-2009.030) [-1994.135] (-2002.113) (-1994.177) -- 0:05:32
564000 -- (-1996.552) [-1983.562] (-2006.570) (-2000.006) * (-2008.002) [-1994.312] (-2009.931) (-1990.283) -- 0:05:32
565000 -- (-2011.134) (-1997.990) [-2010.666] (-1990.900) * (-1992.250) (-1996.600) (-2008.194) [-1991.946] -- 0:05:31
Average standard deviation of split frequencies: 0.009637
566000 -- [-1995.940] (-2013.847) (-2011.564) (-2012.569) * [-1984.993] (-2001.487) (-2005.116) (-1999.593) -- 0:05:30
567000 -- (-1990.163) (-2007.280) (-1999.232) [-1988.386] * (-2002.765) [-2002.519] (-2004.480) (-1982.686) -- 0:05:29
568000 -- (-1984.611) [-1977.641] (-1995.289) (-1983.925) * (-1996.441) [-1987.565] (-1996.733) (-2001.573) -- 0:05:29
569000 -- (-1998.180) [-1994.355] (-1999.953) (-1990.528) * (-2006.657) (-1995.035) (-1991.518) [-1999.304] -- 0:05:28
570000 -- (-2002.972) (-1992.367) (-1997.030) [-1984.934] * (-2006.289) [-1985.305] (-1998.644) (-2004.555) -- 0:05:27
Average standard deviation of split frequencies: 0.009770
571000 -- (-2013.191) (-2015.792) [-1994.294] (-1991.312) * (-2014.259) [-1983.640] (-2003.091) (-1993.619) -- 0:05:26
572000 -- (-1996.853) (-1998.619) [-1989.497] (-1997.096) * (-1997.560) (-1990.390) [-1995.128] (-1999.352) -- 0:05:26
573000 -- (-1988.244) [-1988.912] (-1992.792) (-2016.200) * (-2013.120) [-1991.887] (-2008.360) (-2002.865) -- 0:05:25
574000 -- [-1999.763] (-1991.877) (-2005.586) (-2010.008) * (-1998.925) [-1989.112] (-1993.370) (-1987.681) -- 0:05:24
575000 -- (-2005.719) [-1992.366] (-1991.637) (-2030.160) * (-2014.286) (-1996.036) [-1985.826] (-1996.057) -- 0:05:23
Average standard deviation of split frequencies: 0.009567
576000 -- (-2007.856) (-1992.445) [-2004.444] (-2004.014) * (-1997.509) (-2002.575) [-1981.486] (-2000.207) -- 0:05:23
577000 -- (-1996.620) (-1990.731) [-1994.970] (-1996.003) * (-2004.679) [-1985.493] (-1980.711) (-1995.892) -- 0:05:22
578000 -- (-2031.956) [-1990.313] (-2005.608) (-2001.224) * (-1996.508) (-1990.199) [-1988.495] (-1999.973) -- 0:05:21
579000 -- (-2014.577) (-1975.036) (-2006.980) [-1990.655] * (-1991.738) (-2003.184) (-1982.639) [-1995.026] -- 0:05:20
580000 -- (-2008.126) (-1991.882) (-2001.658) [-1990.435] * (-1991.577) [-1981.879] (-1992.665) (-2016.427) -- 0:05:20
Average standard deviation of split frequencies: 0.009910
581000 -- (-2019.109) [-1997.894] (-2002.480) (-1996.346) * (-1999.986) (-2010.278) [-1987.309] (-2010.924) -- 0:05:19
582000 -- (-2018.951) (-1988.342) [-1990.156] (-1992.643) * (-1991.876) (-2013.639) [-1994.062] (-1999.290) -- 0:05:18
583000 -- [-1988.246] (-2000.154) (-1992.982) (-1996.817) * (-1999.730) (-2001.875) [-1994.576] (-2010.319) -- 0:05:17
584000 -- (-2009.968) (-2013.243) [-1989.913] (-2002.241) * [-1986.858] (-1993.828) (-1991.841) (-1996.359) -- 0:05:16
585000 -- (-1998.481) (-2019.106) (-1993.774) [-1988.914] * [-1989.068] (-2005.665) (-1987.667) (-2002.943) -- 0:05:16
Average standard deviation of split frequencies: 0.010190
586000 -- (-2003.546) [-1994.600] (-2015.969) (-2010.240) * (-1991.379) (-2002.829) (-2016.846) [-2004.144] -- 0:05:15
587000 -- (-1987.216) (-2004.985) (-2004.826) [-1984.815] * (-1989.973) [-1982.959] (-1992.341) (-2029.441) -- 0:05:14
588000 -- (-2007.401) (-1998.263) [-1991.137] (-2002.722) * (-2001.236) [-1996.770] (-1986.918) (-2012.337) -- 0:05:13
589000 -- (-2011.287) (-2005.578) (-1999.233) [-1986.384] * (-1996.743) [-1995.630] (-1986.837) (-2025.829) -- 0:05:13
590000 -- (-2004.342) [-1988.943] (-1995.484) (-2017.733) * (-2020.721) (-2007.011) [-1997.989] (-2006.054) -- 0:05:12
Average standard deviation of split frequencies: 0.009742
591000 -- (-2000.527) (-1988.453) (-2002.154) [-1993.223] * [-2007.234] (-1996.355) (-2007.426) (-1998.544) -- 0:05:11
592000 -- [-2006.426] (-2000.871) (-2010.709) (-1990.156) * [-1998.182] (-2007.665) (-2013.627) (-1991.753) -- 0:05:10
593000 -- (-2010.909) (-2003.504) (-1989.933) [-1988.506] * (-2009.507) (-2012.073) [-2004.995] (-2000.813) -- 0:05:10
594000 -- (-2002.117) (-1993.172) [-1987.612] (-1996.392) * (-2008.016) [-1994.704] (-2018.668) (-1987.480) -- 0:05:09
595000 -- [-1996.519] (-2011.569) (-1998.111) (-2002.490) * (-1997.715) (-2000.278) (-2022.198) [-2001.294] -- 0:05:08
Average standard deviation of split frequencies: 0.009573
596000 -- (-2003.536) [-1988.316] (-2005.503) (-2013.475) * [-1998.897] (-2010.130) (-2001.757) (-1992.752) -- 0:05:07
597000 -- (-1996.557) (-1995.531) [-2000.652] (-2011.355) * (-2007.099) (-2003.583) (-2002.715) [-1988.305] -- 0:05:07
598000 -- (-1995.077) (-2025.045) (-1991.195) [-1986.639] * (-2005.438) (-2011.009) [-1984.222] (-1996.066) -- 0:05:06
599000 -- (-2000.259) (-2006.715) (-1998.930) [-1991.284] * (-2005.368) [-1990.783] (-2009.130) (-1993.460) -- 0:05:05
600000 -- [-1997.800] (-2003.806) (-1994.548) (-1989.509) * (-2021.511) (-2000.165) [-1991.618] (-1989.415) -- 0:05:04
Average standard deviation of split frequencies: 0.009472
601000 -- (-2007.517) (-2015.581) [-1984.336] (-1998.451) * (-1999.951) (-2010.075) (-1990.976) [-1997.012] -- 0:05:04
602000 -- (-2000.502) (-2003.183) [-1984.337] (-1989.072) * [-1992.266] (-2004.631) (-1993.958) (-2005.984) -- 0:05:03
603000 -- (-1999.473) (-2004.878) [-1990.779] (-1989.433) * [-1991.549] (-2017.344) (-1998.341) (-1998.836) -- 0:05:02
604000 -- [-1982.573] (-1986.348) (-1990.874) (-1996.232) * [-1991.880] (-2014.510) (-2019.265) (-2005.342) -- 0:05:01
605000 -- (-1989.755) (-1997.755) [-1987.635] (-2000.710) * (-2008.954) [-1998.225] (-2012.828) (-1993.951) -- 0:05:00
Average standard deviation of split frequencies: 0.009683
606000 -- (-2001.561) [-1984.980] (-2002.511) (-1995.943) * (-2012.226) (-2001.259) (-1994.426) [-1987.556] -- 0:05:00
607000 -- [-1984.495] (-1988.179) (-2002.005) (-1983.878) * (-2002.047) [-1996.102] (-1999.648) (-1994.621) -- 0:04:59
608000 -- (-2013.036) (-1985.819) [-1995.362] (-2002.439) * [-1997.244] (-1993.798) (-2012.430) (-1993.384) -- 0:04:58
609000 -- [-1990.188] (-1994.560) (-1997.993) (-2009.591) * (-2003.686) (-2006.332) (-1997.381) [-1998.703] -- 0:04:57
610000 -- (-2007.934) [-1991.338] (-1991.331) (-1997.678) * [-1995.449] (-2004.021) (-2007.302) (-1997.245) -- 0:04:57
Average standard deviation of split frequencies: 0.009982
611000 -- [-1992.959] (-1987.105) (-1993.422) (-1990.476) * (-2001.178) (-2012.391) (-1996.072) [-1983.090] -- 0:04:56
612000 -- (-2009.973) [-1987.423] (-2014.660) (-1999.976) * (-2003.680) (-1991.857) (-2000.103) [-1989.913] -- 0:04:56
613000 -- (-2000.285) (-1987.846) [-1983.460] (-2007.723) * (-2022.600) [-1989.728] (-2001.384) (-1985.113) -- 0:04:54
614000 -- (-2014.062) [-1983.856] (-2005.117) (-1991.866) * (-1997.321) (-2000.856) [-1996.580] (-1989.151) -- 0:04:54
615000 -- (-1988.142) (-2002.219) [-1985.437] (-1995.764) * (-2011.948) (-1978.054) (-1990.883) [-1978.212] -- 0:04:53
Average standard deviation of split frequencies: 0.010160
616000 -- (-1984.234) [-2001.157] (-1998.870) (-1985.159) * (-2017.123) (-1998.272) (-1992.618) [-1988.736] -- 0:04:52
617000 -- (-2011.103) (-1992.307) (-1999.329) [-1993.154] * (-2017.679) [-1991.040] (-2010.523) (-1992.901) -- 0:04:51
618000 -- (-2000.602) (-1989.058) (-1989.238) [-1981.403] * (-1997.122) (-2020.946) (-2008.392) [-1986.183] -- 0:04:51
619000 -- (-2006.874) (-1999.299) [-1988.180] (-1985.228) * (-2002.640) [-1985.813] (-2016.408) (-2000.084) -- 0:04:50
620000 -- (-2016.402) (-1995.455) [-1982.743] (-2003.808) * (-1992.372) [-1992.306] (-2021.646) (-1992.789) -- 0:04:49
Average standard deviation of split frequencies: 0.009481
621000 -- (-2002.553) (-2012.140) [-1983.169] (-2005.628) * (-2010.483) [-2000.130] (-2013.971) (-2003.290) -- 0:04:48
622000 -- (-1998.660) (-2024.215) (-1992.706) [-1995.600] * (-2005.945) (-1999.225) (-2004.191) [-1990.643] -- 0:04:48
623000 -- (-1992.093) (-2023.017) [-1986.224] (-2009.703) * (-1996.956) (-2011.334) [-2002.044] (-1996.470) -- 0:04:47
624000 -- [-1989.955] (-2007.958) (-1987.606) (-1998.198) * (-2000.022) [-1982.872] (-1996.670) (-2012.403) -- 0:04:46
625000 -- (-1991.944) (-2012.482) [-1986.672] (-2001.824) * (-2004.393) [-1990.012] (-2007.912) (-2001.050) -- 0:04:45
Average standard deviation of split frequencies: 0.008959
626000 -- (-1994.856) (-2005.076) [-1988.673] (-1999.991) * [-1989.718] (-2003.153) (-2003.658) (-2004.523) -- 0:04:44
627000 -- (-2001.714) (-2005.106) (-1990.432) [-1992.979] * (-2000.988) [-1991.237] (-1998.085) (-1988.157) -- 0:04:44
628000 -- (-1998.911) (-1996.958) [-1987.773] (-2003.677) * [-1997.943] (-1994.684) (-1993.786) (-1991.494) -- 0:04:43
629000 -- (-2000.503) (-1992.572) [-2000.438] (-2001.866) * (-2012.032) (-1986.213) [-1986.890] (-2004.174) -- 0:04:43
630000 -- (-2007.328) (-2001.198) [-1990.701] (-1998.356) * (-1996.228) (-1993.201) (-1995.125) [-1998.955] -- 0:04:41
Average standard deviation of split frequencies: 0.008970
631000 -- (-2012.506) [-1993.318] (-1989.719) (-1996.396) * (-2001.720) (-1996.075) (-1983.486) [-1982.972] -- 0:04:41
632000 -- (-1998.068) [-1986.329] (-1995.850) (-2010.770) * (-1999.284) [-1988.640] (-1984.434) (-2005.715) -- 0:04:40
633000 -- (-2007.652) (-1988.345) (-1992.985) [-1983.134] * (-2000.185) (-1999.902) (-1983.569) [-1993.447] -- 0:04:40
634000 -- (-2010.186) [-1985.627] (-1989.160) (-1998.108) * (-2018.869) [-1991.329] (-2001.438) (-2009.363) -- 0:04:38
635000 -- (-2004.551) [-1992.070] (-2002.966) (-2006.599) * (-2017.460) (-1997.181) [-2003.053] (-2005.857) -- 0:04:38
Average standard deviation of split frequencies: 0.008894
636000 -- (-2015.781) (-1990.117) [-1988.952] (-1997.111) * (-1992.735) [-2001.616] (-2013.661) (-2007.199) -- 0:04:37
637000 -- (-2012.058) [-1979.942] (-1988.896) (-2005.237) * (-2000.909) (-2010.157) (-1989.951) [-1984.597] -- 0:04:36
638000 -- (-2009.606) (-1993.328) [-2000.768] (-2005.233) * [-1990.392] (-1995.127) (-2000.867) (-1989.477) -- 0:04:35
639000 -- (-2006.053) (-2007.189) [-1994.978] (-1995.067) * (-2005.703) (-2005.280) [-1993.174] (-1990.385) -- 0:04:35
640000 -- (-2004.252) (-1998.366) (-2000.059) [-1989.156] * (-2005.784) (-2008.244) (-1992.832) [-1990.841] -- 0:04:34
Average standard deviation of split frequencies: 0.008514
641000 -- (-2018.498) (-1997.403) (-1994.671) [-1986.172] * (-2004.604) (-2019.803) [-1986.885] (-1995.607) -- 0:04:33
642000 -- (-2011.582) [-1992.112] (-1988.258) (-2007.761) * (-1982.419) (-1993.888) [-2002.848] (-1997.462) -- 0:04:32
643000 -- (-2002.135) [-1987.792] (-2002.337) (-2008.576) * [-1993.667] (-1999.583) (-1998.247) (-2003.881) -- 0:04:32
644000 -- (-1997.480) (-2007.125) [-1997.569] (-2009.186) * (-2003.720) [-1987.946] (-1992.336) (-1987.744) -- 0:04:31
645000 -- (-2002.751) [-1999.303] (-1991.498) (-1993.573) * (-1995.784) (-2002.751) (-2021.350) [-1979.731] -- 0:04:30
Average standard deviation of split frequencies: 0.008626
646000 -- (-2011.614) (-2001.373) [-1987.217] (-2002.979) * (-1993.002) (-1991.550) (-1989.450) [-1997.011] -- 0:04:29
647000 -- (-2002.594) (-2004.514) [-1986.238] (-2000.544) * (-1999.006) (-2005.374) [-1999.949] (-2002.660) -- 0:04:28
648000 -- [-1982.205] (-1999.330) (-1992.461) (-2004.767) * (-1993.515) (-2004.067) [-1981.517] (-2007.472) -- 0:04:28
649000 -- [-1995.825] (-2001.998) (-1991.891) (-1999.789) * (-2002.799) [-1989.532] (-1992.878) (-1990.265) -- 0:04:27
650000 -- (-1990.507) (-1999.901) (-2013.920) [-1999.970] * (-1995.078) [-1998.560] (-2003.244) (-1997.973) -- 0:04:26
Average standard deviation of split frequencies: 0.008409
651000 -- (-1998.707) (-2004.362) (-1987.214) [-1998.963] * [-1993.886] (-1989.555) (-1995.312) (-1994.364) -- 0:04:25
652000 -- (-2013.033) (-1991.375) [-1992.138] (-1992.740) * (-1989.313) (-2004.377) (-2004.564) [-1990.768] -- 0:04:25
653000 -- (-1995.919) (-2002.682) [-1993.516] (-2009.401) * (-2013.022) (-2016.374) (-1997.199) [-2000.057] -- 0:04:24
654000 -- (-1996.481) [-1997.015] (-2004.744) (-1991.387) * (-2016.351) (-1992.956) [-1996.000] (-2001.762) -- 0:04:23
655000 -- (-1996.627) (-2005.631) (-2007.347) [-1982.070] * (-2015.485) [-1977.385] (-2003.381) (-1991.266) -- 0:04:22
Average standard deviation of split frequencies: 0.008444
656000 -- (-1994.058) (-2007.030) (-2002.803) [-1992.139] * (-1999.946) [-1979.089] (-2008.210) (-1993.851) -- 0:04:22
657000 -- (-2010.016) (-2001.992) (-2016.890) [-1988.232] * (-2009.839) (-2004.809) (-2008.166) [-1995.053] -- 0:04:21
658000 -- [-1992.757] (-2001.316) (-2000.520) (-2000.187) * (-2005.423) (-1992.993) [-1994.849] (-1999.458) -- 0:04:20
659000 -- (-2001.912) (-1982.146) [-1998.214] (-1998.313) * [-1991.626] (-2000.196) (-2005.373) (-2003.339) -- 0:04:19
660000 -- (-2022.559) [-1988.201] (-1993.437) (-1985.748) * [-1996.538] (-1990.890) (-1990.126) (-1998.018) -- 0:04:19
Average standard deviation of split frequencies: 0.008282
661000 -- [-1983.711] (-1986.776) (-1998.570) (-1998.445) * (-2001.583) (-1998.206) [-2002.671] (-2014.218) -- 0:04:18
662000 -- (-1984.535) (-1994.588) (-1980.252) [-1989.102] * (-2005.756) [-2008.498] (-2005.091) (-2004.266) -- 0:04:17
663000 -- [-1999.819] (-1998.961) (-1995.249) (-2003.191) * [-1991.882] (-2015.644) (-1992.163) (-1994.750) -- 0:04:16
664000 -- (-1995.895) [-1997.095] (-1999.066) (-1993.745) * (-2003.460) (-1995.828) [-1990.923] (-2004.360) -- 0:04:16
665000 -- (-1994.011) (-2008.112) [-1990.597] (-2021.432) * (-2005.379) [-1992.557] (-1990.513) (-2011.612) -- 0:04:15
Average standard deviation of split frequencies: 0.008468
666000 -- (-2002.708) [-1982.753] (-1983.921) (-2015.056) * (-1996.883) [-2000.014] (-1992.176) (-1999.628) -- 0:04:14
667000 -- (-1988.289) (-2002.202) [-1987.158] (-2003.277) * (-2007.316) (-2001.518) (-2013.053) [-1998.100] -- 0:04:13
668000 -- [-1993.350] (-1996.706) (-1988.911) (-2001.866) * [-1991.360] (-2009.895) (-1995.385) (-1996.921) -- 0:04:12
669000 -- (-1996.203) (-1997.504) (-1987.806) [-1994.940] * [-1991.623] (-2005.303) (-2004.866) (-1988.507) -- 0:04:12
670000 -- [-1988.326] (-1981.525) (-2005.165) (-1995.847) * (-2011.533) (-2014.315) [-1985.749] (-1996.376) -- 0:04:11
Average standard deviation of split frequencies: 0.008937
671000 -- [-1986.309] (-1983.908) (-2006.874) (-1995.786) * (-2017.172) (-1990.265) [-1989.937] (-1988.900) -- 0:04:10
672000 -- [-1997.417] (-1996.893) (-1998.237) (-1995.534) * [-1988.670] (-1999.781) (-1981.094) (-1994.067) -- 0:04:09
673000 -- (-1992.172) [-1988.891] (-2015.573) (-1988.780) * (-2004.587) [-1985.596] (-1983.499) (-1990.761) -- 0:04:09
674000 -- (-1997.910) [-1974.344] (-1998.160) (-1987.780) * (-2001.284) (-2013.175) (-1999.409) [-1982.607] -- 0:04:08
675000 -- (-2005.378) [-1985.675] (-1994.603) (-1999.162) * (-2012.409) (-1998.389) [-1987.602] (-1992.498) -- 0:04:07
Average standard deviation of split frequencies: 0.008966
676000 -- (-1990.851) [-1990.011] (-1994.977) (-1995.402) * (-2000.647) (-2004.961) (-1988.525) [-1996.873] -- 0:04:06
677000 -- (-1992.938) (-1999.912) (-2000.441) [-2003.321] * (-1990.195) (-2003.909) [-1987.041] (-2002.823) -- 0:04:06
678000 -- [-1987.645] (-1998.128) (-1998.345) (-1996.068) * (-2000.543) (-1994.701) [-1981.764] (-2016.726) -- 0:04:05
679000 -- [-1990.681] (-2013.066) (-1999.279) (-1993.138) * (-1997.333) (-2002.445) [-1990.032] (-1998.646) -- 0:04:04
680000 -- [-1999.703] (-1997.502) (-1992.923) (-2010.356) * (-2010.940) (-2004.404) [-1992.496] (-2002.265) -- 0:04:03
Average standard deviation of split frequencies: 0.008657
681000 -- (-1991.145) (-2005.964) (-2001.016) [-1986.510] * (-1987.522) [-1991.699] (-2001.709) (-2006.487) -- 0:04:03
682000 -- (-2005.591) (-1996.081) [-2000.358] (-2003.641) * (-1998.845) [-1996.969] (-2015.985) (-2002.949) -- 0:04:02
683000 -- (-2006.831) [-1982.403] (-2003.442) (-1990.425) * (-2007.918) (-2007.894) [-2010.040] (-2003.663) -- 0:04:01
684000 -- (-2012.817) [-1990.825] (-2009.983) (-2008.968) * [-1999.010] (-2007.116) (-1996.382) (-2009.254) -- 0:04:00
685000 -- (-2015.790) (-1999.481) (-1998.927) [-2002.841] * (-2001.899) (-1985.052) [-1993.116] (-2006.336) -- 0:04:00
Average standard deviation of split frequencies: 0.008835
686000 -- (-2000.142) [-2009.220] (-2014.779) (-2000.028) * (-2008.023) (-1992.523) [-2001.423] (-2006.801) -- 0:03:59
687000 -- (-2008.432) (-2019.817) [-1985.717] (-1996.389) * (-1988.368) (-2000.425) [-1992.229] (-1995.246) -- 0:03:58
688000 -- (-2025.233) (-1996.917) [-1994.793] (-1991.146) * (-2008.894) (-2002.359) [-1997.427] (-2002.166) -- 0:03:58
689000 -- (-1998.024) (-2003.837) [-1987.989] (-1999.385) * (-2012.175) [-2006.330] (-2000.003) (-2000.142) -- 0:03:56
690000 -- (-1989.491) (-2014.904) [-1986.903] (-1994.808) * [-2014.601] (-1992.980) (-2001.706) (-2001.594) -- 0:03:56
Average standard deviation of split frequencies: 0.008751
691000 -- [-1989.538] (-2009.374) (-1991.252) (-2015.243) * (-2020.842) [-1991.093] (-1987.941) (-2001.252) -- 0:03:55
692000 -- [-1992.180] (-2023.286) (-1995.679) (-1988.408) * (-1999.470) (-1984.116) [-1991.676] (-1997.678) -- 0:03:55
693000 -- (-1992.797) [-1997.939] (-2002.995) (-2001.934) * (-1994.740) (-2003.985) [-1998.602] (-2003.530) -- 0:03:53
694000 -- [-1977.853] (-2017.877) (-2005.339) (-1999.969) * (-2012.513) [-1989.605] (-2009.138) (-1985.956) -- 0:03:53
695000 -- (-1990.332) (-2003.965) [-1989.347] (-1986.880) * (-1998.938) (-2012.854) [-1994.034] (-1995.709) -- 0:03:52
Average standard deviation of split frequencies: 0.008539
696000 -- (-2010.214) (-1999.468) (-2002.465) [-1994.825] * (-1990.413) (-2001.781) [-1985.463] (-2000.858) -- 0:03:51
697000 -- (-2004.208) (-1992.622) (-2000.181) [-1990.651] * [-2002.531] (-1994.937) (-1991.248) (-2014.855) -- 0:03:50
698000 -- [-1992.877] (-2005.164) (-1997.832) (-1996.915) * (-1995.746) (-1998.689) [-1996.233] (-2024.692) -- 0:03:50
699000 -- [-1988.029] (-1993.105) (-2016.668) (-2004.881) * (-2002.989) [-1992.931] (-1981.071) (-2001.589) -- 0:03:49
700000 -- (-2003.911) [-1989.030] (-2010.719) (-1984.612) * (-2001.131) (-1998.256) [-1984.685] (-2001.179) -- 0:03:48
Average standard deviation of split frequencies: 0.008314
701000 -- (-2014.293) [-1989.262] (-1986.175) (-1999.507) * (-2019.066) (-2002.262) [-1995.389] (-2003.868) -- 0:03:48
702000 -- (-2034.181) (-2000.516) [-1990.291] (-2000.659) * (-1993.528) (-2013.765) [-1984.594] (-2005.322) -- 0:03:47
703000 -- (-2016.407) (-1991.289) [-1990.584] (-1992.750) * (-1991.156) (-2024.775) (-2018.898) [-1990.363] -- 0:03:46
704000 -- (-2004.928) [-1985.696] (-2000.926) (-2010.268) * (-1982.186) (-2023.206) [-1990.594] (-1994.454) -- 0:03:45
705000 -- (-2003.936) [-1997.024] (-2007.832) (-1995.165) * [-1994.454] (-2008.481) (-2005.865) (-1994.229) -- 0:03:45
Average standard deviation of split frequencies: 0.008036
706000 -- (-1996.730) [-2001.025] (-2002.987) (-2010.029) * (-1994.376) (-2009.182) (-1993.620) [-1983.529] -- 0:03:44
707000 -- [-1993.385] (-1997.682) (-2005.229) (-2000.930) * (-2000.211) (-2020.650) [-1999.401] (-1996.735) -- 0:03:43
708000 -- (-2004.839) (-2014.851) [-1987.859] (-2005.576) * [-1983.281] (-2004.687) (-1996.158) (-1992.867) -- 0:03:42
709000 -- (-2009.488) (-2007.264) (-1992.700) [-1985.409] * [-1986.746] (-2021.988) (-2002.904) (-2006.507) -- 0:03:42
710000 -- (-1999.205) (-2006.721) [-1981.083] (-1994.035) * (-1995.844) (-1997.477) [-1994.866] (-2001.027) -- 0:03:41
Average standard deviation of split frequencies: 0.008078
711000 -- (-2000.534) (-2004.756) (-1983.803) [-1991.649] * (-1984.866) (-2004.834) [-1990.336] (-2028.248) -- 0:03:40
712000 -- (-2018.274) (-1997.575) [-1979.914] (-1996.469) * (-1989.759) [-1994.499] (-1999.030) (-2008.745) -- 0:03:39
713000 -- (-2018.690) (-2011.757) [-1988.776] (-1992.301) * (-2002.189) (-2003.077) [-1990.355] (-2006.434) -- 0:03:38
714000 -- (-2006.623) (-1998.031) (-2001.685) [-1995.629] * (-2000.104) (-2010.660) [-1983.176] (-1992.074) -- 0:03:38
715000 -- [-2005.871] (-1997.532) (-2007.631) (-2001.623) * (-1995.019) [-1992.369] (-1996.178) (-1993.349) -- 0:03:37
Average standard deviation of split frequencies: 0.008300
716000 -- (-2004.741) [-1992.841] (-2017.101) (-1998.730) * (-1984.847) (-2015.406) (-1986.404) [-1986.818] -- 0:03:36
717000 -- (-2012.852) [-1981.709] (-2007.890) (-1996.081) * (-1994.763) (-1994.876) (-1990.072) [-1980.641] -- 0:03:35
718000 -- (-1986.049) (-2001.780) [-1999.283] (-1999.047) * (-2004.614) [-1989.980] (-2006.096) (-2002.155) -- 0:03:35
719000 -- [-1993.296] (-1997.318) (-2008.328) (-2002.141) * [-2002.959] (-1995.329) (-2015.547) (-1996.272) -- 0:03:34
720000 -- [-1985.371] (-2001.074) (-2014.421) (-1999.483) * (-1995.952) (-2003.985) (-2006.312) [-1999.946] -- 0:03:33
Average standard deviation of split frequencies: 0.008690
721000 -- (-1998.465) (-1993.811) (-1994.150) [-1991.709] * (-2001.381) (-2006.673) (-1986.685) [-1992.750] -- 0:03:32
722000 -- (-2025.301) (-1993.432) (-2027.483) [-1991.805] * [-1993.601] (-2018.919) (-2010.141) (-1984.576) -- 0:03:32
723000 -- [-2008.094] (-1981.849) (-2018.206) (-2017.641) * [-1986.139] (-2010.717) (-2004.376) (-2010.730) -- 0:03:31
724000 -- [-1990.193] (-1987.632) (-2000.233) (-2007.208) * (-1982.665) (-2022.329) [-1997.757] (-2005.711) -- 0:03:30
725000 -- (-2009.424) (-1989.588) [-1999.694] (-2002.169) * (-2003.965) [-1996.196] (-1989.987) (-2017.791) -- 0:03:29
Average standard deviation of split frequencies: 0.008665
726000 -- (-2012.418) [-1990.186] (-2000.119) (-1999.254) * (-2014.180) (-2009.063) (-1991.499) [-1993.849] -- 0:03:29
727000 -- (-2004.606) (-2006.436) (-2016.624) [-1992.628] * [-1988.039] (-2015.022) (-1999.646) (-1994.137) -- 0:03:28
728000 -- (-2001.193) [-1985.180] (-2001.397) (-1990.181) * [-1983.113] (-2001.704) (-2015.089) (-1991.772) -- 0:03:27
729000 -- (-2009.716) (-2005.739) [-1989.382] (-1987.490) * [-1987.369] (-2009.360) (-1991.579) (-2004.308) -- 0:03:26
730000 -- (-2020.197) (-1997.516) [-1991.460] (-1999.091) * [-1984.216] (-1997.249) (-2002.229) (-2006.984) -- 0:03:26
Average standard deviation of split frequencies: 0.008364
731000 -- (-1998.922) (-2003.368) [-1990.963] (-2008.894) * (-1990.945) (-1992.648) [-1990.364] (-2006.317) -- 0:03:25
732000 -- [-1993.765] (-2008.629) (-2010.079) (-1990.483) * [-1998.307] (-1985.793) (-2007.681) (-2010.726) -- 0:03:24
733000 -- (-2000.518) (-1995.519) [-1995.677] (-2006.605) * (-1991.596) [-1983.216] (-2000.454) (-2014.834) -- 0:03:23
734000 -- [-1991.869] (-2023.157) (-2011.619) (-1996.128) * (-1986.416) [-1984.759] (-1991.534) (-2014.526) -- 0:03:22
735000 -- [-1981.945] (-2008.848) (-2014.635) (-1989.235) * (-1987.039) [-1997.676] (-1993.630) (-2005.456) -- 0:03:22
Average standard deviation of split frequencies: 0.008349
736000 -- (-2001.901) (-2007.296) [-1995.850] (-1982.992) * [-1986.641] (-2000.833) (-1981.116) (-2015.413) -- 0:03:21
737000 -- (-1994.152) (-2004.713) [-1994.520] (-1990.689) * (-2008.399) [-2002.132] (-1996.265) (-2041.501) -- 0:03:20
738000 -- (-1988.012) (-1994.896) (-2017.344) [-1993.659] * (-2020.352) (-2002.823) [-1982.715] (-1989.188) -- 0:03:19
739000 -- [-1991.383] (-1991.316) (-2021.406) (-1995.537) * (-2018.182) [-1981.861] (-1983.153) (-1999.679) -- 0:03:19
740000 -- [-2000.311] (-2009.995) (-1997.670) (-2000.338) * (-2019.000) (-1997.589) [-1998.628] (-2005.013) -- 0:03:18
Average standard deviation of split frequencies: 0.008274
741000 -- (-1995.338) [-1993.905] (-2002.231) (-2011.611) * (-1989.908) [-1990.339] (-1999.593) (-2019.883) -- 0:03:17
742000 -- (-2009.536) [-1987.724] (-2014.432) (-1998.185) * (-2000.434) (-2005.991) (-1994.266) [-1986.369] -- 0:03:16
743000 -- (-2015.003) (-1992.743) [-2002.228] (-1993.011) * [-1975.447] (-2010.343) (-1989.699) (-2009.768) -- 0:03:16
744000 -- (-2007.526) [-1995.942] (-2005.377) (-1984.739) * (-1988.387) (-2008.759) [-1988.052] (-2000.586) -- 0:03:15
745000 -- [-1996.394] (-1992.658) (-1990.269) (-1999.023) * (-2002.345) [-1982.800] (-2004.697) (-1999.027) -- 0:03:14
Average standard deviation of split frequencies: 0.008508
746000 -- (-1995.868) (-1993.683) [-1989.857] (-2003.904) * (-2006.798) (-2003.966) (-2009.261) [-1993.751] -- 0:03:13
747000 -- (-2000.989) [-1987.545] (-2002.933) (-1995.426) * (-1998.876) (-2010.662) [-1990.905] (-1994.114) -- 0:03:13
748000 -- (-2013.532) [-1975.596] (-2003.194) (-1999.104) * (-1999.773) (-2008.245) [-1991.376] (-2007.479) -- 0:03:12
749000 -- [-1974.406] (-2004.002) (-2009.931) (-1991.220) * (-2015.497) (-2002.922) (-2001.258) [-2002.487] -- 0:03:11
750000 -- (-1988.596) (-1994.498) (-2007.809) [-1982.943] * [-1983.983] (-2002.112) (-1995.212) (-2010.731) -- 0:03:10
Average standard deviation of split frequencies: 0.008500
751000 -- (-1993.830) (-1995.937) (-2008.242) [-1990.195] * (-2003.734) (-2009.483) [-1987.240] (-1998.690) -- 0:03:09
752000 -- [-1992.131] (-1998.149) (-2025.156) (-1987.365) * (-1991.260) (-1999.029) [-1978.970] (-2012.101) -- 0:03:09
753000 -- (-1988.502) (-2011.262) [-1988.497] (-2013.400) * (-1992.087) (-2015.260) (-1999.240) [-1993.689] -- 0:03:08
754000 -- (-1997.635) (-2018.522) [-2001.677] (-1992.938) * (-1998.085) [-1985.417] (-2004.993) (-1994.066) -- 0:03:07
755000 -- (-2003.311) (-1995.389) [-1989.659] (-2012.035) * [-1998.300] (-2004.003) (-2007.144) (-2008.089) -- 0:03:06
Average standard deviation of split frequencies: 0.008618
756000 -- [-1984.824] (-2000.555) (-1989.786) (-2001.434) * (-2007.886) (-2015.857) (-2000.363) [-1988.718] -- 0:03:06
757000 -- (-2013.330) [-1994.218] (-1984.929) (-1996.998) * [-1994.210] (-1993.889) (-2017.498) (-1998.976) -- 0:03:05
758000 -- (-2011.578) (-2003.094) (-2007.956) [-1989.227] * (-1998.759) [-1987.273] (-2015.103) (-2013.165) -- 0:03:04
759000 -- (-1993.865) [-1991.412] (-1990.893) (-1986.874) * (-1992.781) [-2000.693] (-2007.486) (-1993.035) -- 0:03:03
760000 -- (-2020.758) (-2001.178) (-2001.636) [-1990.012] * [-1993.661] (-2002.710) (-2012.227) (-1983.945) -- 0:03:03
Average standard deviation of split frequencies: 0.008499
761000 -- (-2001.396) [-1991.915] (-1990.766) (-1988.457) * (-2007.762) [-1996.897] (-2016.917) (-1988.144) -- 0:03:02
762000 -- (-1989.221) [-2000.163] (-1994.843) (-2010.534) * [-1991.555] (-2009.086) (-1987.215) (-1987.311) -- 0:03:01
763000 -- (-1986.229) [-1997.627] (-2004.278) (-2020.533) * (-2000.496) (-2005.514) (-2017.738) [-1985.494] -- 0:03:00
764000 -- (-2007.918) (-2001.752) [-1988.227] (-1980.022) * (-2004.138) (-2008.248) (-2008.308) [-2005.049] -- 0:03:00
765000 -- [-1992.475] (-2008.426) (-1996.219) (-1992.011) * (-1990.294) (-2004.753) (-2006.110) [-1977.831] -- 0:02:59
Average standard deviation of split frequencies: 0.008264
766000 -- [-1999.878] (-2006.820) (-1999.071) (-1998.445) * (-2005.009) (-1998.589) (-2009.055) [-1984.400] -- 0:02:58
767000 -- (-1996.411) (-1996.367) (-2003.545) [-1975.736] * (-2016.410) [-1997.342] (-1996.820) (-1998.259) -- 0:02:57
768000 -- (-2008.438) (-2004.562) [-1988.350] (-1990.380) * [-2001.948] (-2002.661) (-1988.905) (-1991.554) -- 0:02:57
769000 -- (-2005.591) (-2010.231) [-1993.744] (-1985.524) * [-1986.154] (-1994.941) (-1998.104) (-2007.604) -- 0:02:56
770000 -- (-2003.953) [-2004.136] (-1989.881) (-1991.365) * (-1993.772) [-1982.649] (-2004.570) (-2012.842) -- 0:02:55
Average standard deviation of split frequencies: 0.008170
771000 -- [-1983.923] (-2020.490) (-1991.951) (-1996.717) * (-2025.937) [-1995.325] (-2009.054) (-2002.738) -- 0:02:54
772000 -- (-2009.575) [-1994.703] (-2003.873) (-2006.042) * (-2008.021) (-2002.074) (-2021.796) [-1996.782] -- 0:02:53
773000 -- (-2003.321) [-1991.503] (-1996.044) (-1990.677) * (-2004.984) [-1986.520] (-2016.048) (-1993.873) -- 0:02:53
774000 -- [-1989.396] (-1990.183) (-2003.062) (-2006.001) * (-1993.802) (-2003.135) (-2005.530) [-1990.306] -- 0:02:52
775000 -- [-1991.182] (-1991.760) (-1980.706) (-2008.326) * (-1994.519) (-1985.077) [-1985.470] (-2000.435) -- 0:02:51
Average standard deviation of split frequencies: 0.007998
776000 -- (-1996.824) (-1992.732) (-2007.386) [-1997.748] * (-2000.572) (-1987.679) [-2002.208] (-2003.079) -- 0:02:50
777000 -- [-1988.906] (-1989.771) (-1989.923) (-2019.120) * (-1999.284) [-1988.182] (-2001.768) (-2003.608) -- 0:02:50
778000 -- (-1992.096) (-1997.926) [-1995.785] (-2000.709) * (-2007.497) (-1992.545) [-1998.867] (-1998.930) -- 0:02:49
779000 -- (-1997.543) [-1995.236] (-2002.994) (-1995.268) * (-1999.267) (-1997.702) [-1991.707] (-1997.710) -- 0:02:48
780000 -- [-1983.476] (-1996.294) (-2009.911) (-2004.743) * [-1986.888] (-1994.239) (-1992.491) (-2012.425) -- 0:02:47
Average standard deviation of split frequencies: 0.008172
781000 -- (-1998.763) (-2014.019) [-1995.970] (-2000.401) * (-1987.858) (-1997.864) [-1986.443] (-2023.453) -- 0:02:47
782000 -- (-2007.450) (-2017.502) (-1995.292) [-1988.860] * (-1998.111) (-1988.891) [-1987.227] (-2007.198) -- 0:02:46
783000 -- (-2008.032) (-2006.743) (-1994.179) [-1997.493] * (-2002.277) [-1988.707] (-2011.707) (-2002.856) -- 0:02:45
784000 -- (-1999.760) (-2000.431) [-1993.689] (-1992.392) * (-2008.969) [-1990.837] (-2000.201) (-1999.164) -- 0:02:44
785000 -- (-1993.528) (-1998.836) [-1992.192] (-2004.826) * [-1993.493] (-1995.415) (-1992.131) (-1995.136) -- 0:02:44
Average standard deviation of split frequencies: 0.007937
786000 -- [-2006.073] (-1998.437) (-2002.387) (-2002.734) * [-1983.211] (-1985.285) (-2005.620) (-2000.290) -- 0:02:43
787000 -- [-1990.680] (-1988.786) (-2019.370) (-1995.124) * (-1988.917) (-1999.277) (-2010.291) [-1987.059] -- 0:02:42
788000 -- (-2003.558) (-2004.737) (-2001.976) [-1982.098] * [-1985.358] (-1992.697) (-2012.567) (-1987.867) -- 0:02:41
789000 -- (-1989.323) (-1992.734) [-1985.883] (-2009.019) * (-1989.256) (-1997.335) (-1997.081) [-1992.032] -- 0:02:40
790000 -- (-1991.964) (-1999.827) [-1992.562] (-2000.189) * (-1999.562) (-2009.066) (-2002.758) [-1995.744] -- 0:02:40
Average standard deviation of split frequencies: 0.008466
791000 -- (-2006.444) [-1994.607] (-1992.844) (-2007.886) * (-2000.836) [-1999.309] (-2018.545) (-2009.785) -- 0:02:39
792000 -- (-2006.804) (-2040.756) [-1999.492] (-1997.308) * [-1987.342] (-1985.374) (-2025.179) (-2004.070) -- 0:02:38
793000 -- (-2001.997) [-1995.808] (-2004.274) (-1994.902) * [-1984.568] (-1991.639) (-2012.734) (-2000.633) -- 0:02:37
794000 -- [-1989.500] (-2011.759) (-2001.281) (-1995.711) * [-1996.287] (-1994.932) (-2010.408) (-2003.714) -- 0:02:37
795000 -- [-1990.570] (-2005.495) (-2004.077) (-1994.761) * (-1992.854) [-1994.068] (-2008.522) (-2007.198) -- 0:02:36
Average standard deviation of split frequencies: 0.008370
796000 -- (-2009.132) (-2005.764) [-1989.392] (-2000.413) * [-1992.015] (-1991.636) (-2004.950) (-2007.561) -- 0:02:35
797000 -- (-2000.475) (-1998.369) [-1983.301] (-2023.204) * (-1995.111) (-1989.887) (-1986.619) [-2003.512] -- 0:02:34
798000 -- (-2001.770) (-1986.920) (-1998.682) [-1994.279] * [-1999.871] (-1994.683) (-2008.588) (-1993.803) -- 0:02:34
799000 -- (-2000.152) (-1995.152) (-2003.414) [-1992.680] * (-2019.485) [-1985.516] (-1997.991) (-1989.021) -- 0:02:33
800000 -- [-1995.300] (-1982.772) (-2002.152) (-2017.248) * (-2010.458) [-1988.948] (-1990.517) (-1992.505) -- 0:02:32
Average standard deviation of split frequencies: 0.008304
801000 -- [-1982.000] (-1997.575) (-2016.788) (-1996.898) * [-1990.688] (-2003.218) (-2017.129) (-1999.174) -- 0:02:31
802000 -- [-2000.139] (-1989.358) (-1985.848) (-2004.130) * (-1990.601) (-1992.750) (-2003.848) [-2008.980] -- 0:02:31
803000 -- (-1998.891) (-1995.677) [-1990.919] (-2024.357) * (-1993.542) (-1998.654) (-1999.941) [-2007.493] -- 0:02:30
804000 -- (-1997.413) (-2005.766) [-1988.214] (-2000.181) * (-1987.300) (-2006.457) [-1997.775] (-2004.704) -- 0:02:29
805000 -- (-2011.832) (-2000.955) [-1993.473] (-2010.210) * (-1991.384) (-2009.651) (-1986.429) [-1997.982] -- 0:02:28
Average standard deviation of split frequencies: 0.008148
806000 -- (-1999.130) (-2010.260) [-1997.187] (-2008.319) * [-2001.394] (-2028.223) (-1995.278) (-1996.382) -- 0:02:28
807000 -- (-1995.353) (-2003.198) [-1986.361] (-2001.620) * (-1999.649) (-2007.497) [-1987.502] (-1994.270) -- 0:02:27
808000 -- (-1997.668) [-1990.523] (-2009.009) (-2004.842) * (-2010.682) (-1998.896) (-2012.538) [-1996.130] -- 0:02:26
809000 -- (-1997.328) (-1981.158) [-1989.470] (-2007.759) * (-2007.206) [-1993.812] (-1996.102) (-2022.039) -- 0:02:25
810000 -- [-1992.702] (-2010.190) (-2009.111) (-2012.396) * (-2008.583) (-2003.404) [-1998.432] (-1979.259) -- 0:02:24
Average standard deviation of split frequencies: 0.008021
811000 -- [-1985.049] (-1999.352) (-2018.467) (-2003.093) * (-2027.363) (-2001.673) (-1987.508) [-1989.949] -- 0:02:24
812000 -- [-1989.620] (-1991.802) (-1999.063) (-1993.134) * (-2010.689) (-1993.889) [-1982.005] (-1999.918) -- 0:02:23
813000 -- (-2005.653) [-1990.902] (-2007.426) (-2017.910) * (-1995.890) [-1999.685] (-2014.072) (-1992.210) -- 0:02:22
814000 -- (-1999.327) (-2008.204) [-1994.390] (-1998.498) * (-2010.130) (-1998.441) (-1993.264) [-1983.369] -- 0:02:21
815000 -- (-1996.345) (-2017.067) (-1996.871) [-2008.841] * (-2010.156) (-2003.646) (-2000.886) [-1995.322] -- 0:02:21
Average standard deviation of split frequencies: 0.007829
816000 -- [-1991.723] (-2002.361) (-2021.395) (-2006.368) * (-2015.906) (-1997.878) (-1996.945) [-1988.771] -- 0:02:20
817000 -- [-1992.360] (-2006.962) (-2000.274) (-2018.237) * (-1996.930) (-1994.263) (-2016.659) [-1991.025] -- 0:02:19
818000 -- [-1988.015] (-2006.347) (-1991.653) (-2007.252) * (-1995.801) (-1995.444) (-1998.986) [-1982.814] -- 0:02:18
819000 -- (-2001.550) (-2001.961) (-2002.762) [-1993.697] * [-1982.299] (-2011.199) (-1999.687) (-1982.645) -- 0:02:18
820000 -- (-1999.868) (-2004.955) (-2023.091) [-1992.256] * (-2007.747) (-2000.802) (-2007.617) [-1993.953] -- 0:02:17
Average standard deviation of split frequencies: 0.007685
821000 -- (-1998.493) (-1985.741) [-2005.467] (-2007.092) * (-1987.453) (-1993.338) (-1997.846) [-1993.801] -- 0:02:16
822000 -- (-2017.268) (-2004.294) [-1991.928] (-2006.442) * (-1997.957) [-1985.904] (-2017.257) (-2005.251) -- 0:02:15
823000 -- (-2001.749) (-2006.096) (-2006.352) [-1989.031] * (-2011.360) (-1986.395) [-1994.541] (-2010.099) -- 0:02:15
824000 -- [-2010.209] (-2007.237) (-2002.194) (-2002.379) * [-1985.245] (-1996.377) (-2024.413) (-2004.460) -- 0:02:14
825000 -- [-2003.335] (-1988.439) (-2007.270) (-1997.565) * [-1995.703] (-2004.911) (-2001.387) (-1998.019) -- 0:02:13
Average standard deviation of split frequencies: 0.007793
826000 -- (-1995.015) (-1981.941) (-2019.950) [-1981.813] * [-1991.678] (-1995.605) (-1993.059) (-2008.606) -- 0:02:12
827000 -- (-1988.334) [-1989.667] (-2019.162) (-2003.719) * [-1997.089] (-2014.890) (-2004.952) (-1998.272) -- 0:02:11
828000 -- [-1989.206] (-1987.046) (-2001.323) (-1999.249) * (-2000.946) (-2013.493) (-1999.265) [-1987.663] -- 0:02:11
829000 -- (-1986.921) [-1991.077] (-1999.346) (-1998.420) * (-2009.874) [-1992.880] (-1998.103) (-1996.635) -- 0:02:10
830000 -- [-1990.687] (-1998.541) (-1998.630) (-1990.759) * (-1986.484) (-2004.733) [-1996.946] (-1984.159) -- 0:02:09
Average standard deviation of split frequencies: 0.007710
831000 -- [-1990.735] (-2016.919) (-2001.699) (-2003.665) * (-2005.445) (-1991.557) [-1999.555] (-2008.663) -- 0:02:08
832000 -- (-2012.354) (-2002.429) [-1985.797] (-1995.409) * [-1998.259] (-1990.443) (-2004.809) (-2006.658) -- 0:02:08
833000 -- (-1993.112) (-1993.151) (-2001.771) [-1984.973] * (-1988.451) (-2000.003) [-1990.964] (-2004.390) -- 0:02:07
834000 -- (-2007.747) (-2001.505) (-1990.801) [-1981.619] * (-2011.681) (-2007.768) [-1982.408] (-2004.146) -- 0:02:06
835000 -- (-2010.795) (-2002.046) [-1986.211] (-1998.756) * (-1997.489) (-2018.317) [-1982.001] (-2010.567) -- 0:02:05
Average standard deviation of split frequencies: 0.007408
836000 -- (-1997.188) (-2012.603) [-1986.343] (-1997.008) * (-1998.119) (-1994.929) [-1989.492] (-1994.985) -- 0:02:05
837000 -- (-1986.540) (-2012.667) [-1994.751] (-1986.541) * (-2002.649) [-1987.055] (-2013.803) (-1987.730) -- 0:02:04
838000 -- [-1998.461] (-2005.314) (-1998.024) (-1993.152) * (-2022.233) (-1991.718) (-1998.189) [-1989.594] -- 0:02:03
839000 -- [-2000.352] (-2021.750) (-2000.411) (-2011.126) * (-2003.774) (-2000.379) [-1989.007] (-2028.851) -- 0:02:02
840000 -- (-2005.111) (-2022.142) [-1979.649] (-2010.663) * (-2003.209) (-2019.302) [-1998.425] (-2011.621) -- 0:02:02
Average standard deviation of split frequencies: 0.007290
841000 -- (-2005.761) [-1987.176] (-2005.355) (-2006.337) * (-1994.301) (-2008.259) [-1986.998] (-1998.703) -- 0:02:01
842000 -- (-2004.049) [-1989.775] (-1995.574) (-2006.583) * (-1985.278) (-2007.283) [-1996.475] (-1990.204) -- 0:02:00
843000 -- (-2012.629) (-1998.373) (-1985.037) [-1991.629] * (-1989.852) [-2000.890] (-1991.569) (-2005.900) -- 0:01:59
844000 -- [-2003.641] (-1994.475) (-1983.794) (-1998.801) * (-2001.217) (-2001.290) [-1979.060] (-2017.933) -- 0:01:59
845000 -- [-1996.160] (-1992.893) (-1995.351) (-2009.911) * (-1993.035) (-2005.993) [-1982.194] (-2023.488) -- 0:01:58
Average standard deviation of split frequencies: 0.006840
846000 -- (-2001.309) [-1996.229] (-1991.696) (-2015.969) * [-1985.723] (-2000.271) (-1979.690) (-2017.268) -- 0:01:57
847000 -- (-1998.623) (-1997.527) [-1985.202] (-2014.292) * [-1986.223] (-2004.923) (-2002.071) (-2000.149) -- 0:01:56
848000 -- (-1985.495) [-1981.340] (-1979.022) (-1994.596) * (-2001.145) [-1994.912] (-2009.872) (-2001.977) -- 0:01:55
849000 -- (-1994.797) (-1986.007) (-2006.347) [-1995.513] * (-1996.976) [-2001.689] (-2009.512) (-1996.377) -- 0:01:55
850000 -- (-2013.742) [-1992.432] (-2009.290) (-1992.620) * (-1990.504) [-1985.784] (-1992.849) (-1998.011) -- 0:01:54
Average standard deviation of split frequencies: 0.007013
851000 -- (-2009.770) [-1996.277] (-2001.740) (-2013.633) * [-1993.062] (-1990.644) (-1983.254) (-1994.198) -- 0:01:53
852000 -- (-2007.220) (-2018.739) [-1990.591] (-1997.801) * [-1984.820] (-2005.680) (-1981.890) (-2013.782) -- 0:01:52
853000 -- (-1995.084) (-2020.120) (-2001.239) [-1999.656] * (-2005.412) (-1992.441) [-1997.789] (-2002.164) -- 0:01:52
854000 -- (-2011.112) (-2007.901) (-1993.763) [-1994.684] * [-1986.134] (-2002.134) (-2002.187) (-2010.519) -- 0:01:51
855000 -- [-1996.761] (-2010.587) (-1992.649) (-2006.043) * (-1986.609) [-1992.907] (-1990.414) (-2006.996) -- 0:01:50
Average standard deviation of split frequencies: 0.006533
856000 -- (-2005.453) (-2008.595) [-1988.661] (-1986.063) * (-1999.346) [-1989.284] (-1992.994) (-2004.730) -- 0:01:50
857000 -- (-2003.645) (-2005.902) (-1995.000) [-1991.207] * [-1994.327] (-1997.260) (-2017.861) (-1986.677) -- 0:01:49
858000 -- (-1988.682) (-2010.358) (-1998.655) [-1986.773] * (-1983.867) (-2006.379) (-1994.873) [-1990.227] -- 0:01:48
859000 -- (-1998.729) (-2002.966) (-1996.960) [-1995.076] * [-1991.589] (-2002.846) (-2002.533) (-1989.919) -- 0:01:47
860000 -- (-2013.937) [-1999.263] (-2000.987) (-2000.222) * (-2003.316) (-2022.939) (-1994.237) [-1993.794] -- 0:01:46
Average standard deviation of split frequencies: 0.006807
861000 -- (-2011.898) [-1993.566] (-1994.203) (-2002.155) * [-1998.830] (-2006.702) (-2001.529) (-1991.435) -- 0:01:46
862000 -- (-1993.625) (-2003.345) [-1993.082] (-1999.055) * (-2013.672) [-1989.729] (-1992.663) (-1993.337) -- 0:01:45
863000 -- (-1994.200) (-2005.344) [-1996.459] (-1992.574) * (-1999.543) (-1993.998) [-1987.922] (-2001.640) -- 0:01:44
864000 -- [-1997.606] (-2015.564) (-1995.078) (-1996.536) * (-1978.033) (-2014.692) [-1981.192] (-1996.064) -- 0:01:43
865000 -- (-1989.664) (-2015.130) (-1988.405) [-2000.208] * [-1982.464] (-2010.506) (-1994.270) (-2000.878) -- 0:01:43
Average standard deviation of split frequencies: 0.006420
866000 -- [-1996.665] (-1996.925) (-1994.409) (-1992.391) * (-1991.111) (-2005.884) (-1998.235) [-1989.664] -- 0:01:42
867000 -- (-2011.012) (-2015.680) (-1988.991) [-1982.644] * (-1999.127) [-1993.399] (-1997.275) (-2000.354) -- 0:01:41
868000 -- (-2018.406) (-2003.388) [-1989.906] (-1993.791) * [-1991.912] (-2008.477) (-1998.751) (-1994.661) -- 0:01:40
869000 -- (-2014.961) (-1995.687) (-2000.313) [-1992.541] * (-1991.173) (-2013.524) (-1992.109) [-1978.398] -- 0:01:39
870000 -- (-1988.388) (-2001.858) [-1997.552] (-2007.260) * (-1998.867) (-1998.738) (-2000.849) [-1988.475] -- 0:01:39
Average standard deviation of split frequencies: 0.006478
871000 -- (-1991.612) (-2001.959) (-2004.037) [-1995.585] * (-2005.979) (-1986.297) [-1992.369] (-2008.104) -- 0:01:38
872000 -- [-1990.772] (-1990.060) (-1990.984) (-1993.568) * (-1988.678) [-1997.434] (-1992.391) (-2007.032) -- 0:01:37
873000 -- [-2000.638] (-2006.626) (-1981.848) (-2010.880) * (-1995.939) (-1998.203) [-1987.705] (-1990.056) -- 0:01:36
874000 -- [-1986.585] (-2001.738) (-1996.980) (-1989.453) * (-2014.439) (-1992.679) [-1989.370] (-1998.145) -- 0:01:36
875000 -- [-1988.073] (-1986.316) (-2009.446) (-1996.601) * (-2007.252) (-1996.933) [-1993.801] (-2001.605) -- 0:01:35
Average standard deviation of split frequencies: 0.006625
876000 -- (-1993.588) [-1994.894] (-1997.001) (-1992.429) * (-2008.665) (-1998.192) [-1999.054] (-2002.758) -- 0:01:34
877000 -- (-1987.340) (-1984.601) (-2025.771) [-1998.339] * (-2008.882) (-2003.602) [-1993.340] (-2005.508) -- 0:01:33
878000 -- (-1981.877) [-1995.151] (-2012.670) (-2002.220) * (-2002.147) (-1995.906) [-1997.809] (-2016.384) -- 0:01:33
879000 -- (-1986.142) (-2001.575) [-1989.827] (-1999.970) * (-2007.526) (-2014.428) (-1997.304) [-1987.437] -- 0:01:32
880000 -- (-2015.329) (-2010.863) [-1994.966] (-2013.858) * [-1990.092] (-2004.428) (-1988.230) (-1990.970) -- 0:01:31
Average standard deviation of split frequencies: 0.006959
881000 -- [-1997.149] (-2017.616) (-2004.193) (-2014.077) * (-2008.736) (-2003.266) (-2001.182) [-1998.849] -- 0:01:30
882000 -- [-2003.569] (-2027.244) (-1996.384) (-2010.325) * [-1996.993] (-2025.562) (-1992.009) (-1992.258) -- 0:01:30
883000 -- (-2001.990) (-2006.524) [-2000.836] (-2012.209) * (-2007.073) (-2013.626) (-1982.197) [-1983.456] -- 0:01:29
884000 -- (-1997.128) (-2035.702) (-2011.188) [-1998.913] * (-1994.874) (-2004.313) (-2011.419) [-1980.088] -- 0:01:28
885000 -- [-1979.662] (-2000.057) (-1999.174) (-2000.536) * (-2003.633) (-2020.741) [-1991.365] (-1995.970) -- 0:01:27
Average standard deviation of split frequencies: 0.006697
886000 -- (-1995.879) (-2011.167) [-1988.832] (-1988.882) * [-1994.832] (-1996.109) (-1990.967) (-2005.559) -- 0:01:26
887000 -- [-1991.822] (-1999.615) (-2002.062) (-1988.732) * (-2001.405) [-1991.346] (-2004.488) (-2019.137) -- 0:01:26
888000 -- (-2016.938) (-1994.151) (-2005.189) [-1997.673] * (-1994.241) (-1995.199) [-1987.765] (-2004.615) -- 0:01:25
889000 -- (-1990.757) (-2005.788) (-2003.913) [-1985.481] * (-1993.831) (-1994.756) (-1987.294) [-1991.791] -- 0:01:24
890000 -- [-1986.792] (-1995.581) (-1988.391) (-1992.860) * (-2020.784) [-1991.096] (-2024.243) (-1997.468) -- 0:01:23
Average standard deviation of split frequencies: 0.006461
891000 -- (-1984.913) [-1987.174] (-2002.076) (-1992.245) * (-2005.339) (-1977.927) (-2009.407) [-1987.297] -- 0:01:23
892000 -- [-1980.376] (-2010.129) (-1991.046) (-1982.029) * (-2014.722) [-1983.746] (-1994.673) (-2010.316) -- 0:01:22
893000 -- [-1988.179] (-2004.839) (-2002.493) (-1985.413) * (-2011.290) [-1985.725] (-2011.288) (-2001.187) -- 0:01:21
894000 -- (-1990.075) (-2008.831) (-2017.917) [-1987.344] * (-2000.616) [-1989.232] (-2006.398) (-2005.130) -- 0:01:20
895000 -- [-1988.847] (-2026.714) (-1992.618) (-1987.100) * (-1988.493) (-1987.178) [-1992.248] (-2010.509) -- 0:01:20
Average standard deviation of split frequencies: 0.006495
896000 -- (-2006.599) (-2011.156) [-1991.648] (-1987.953) * (-2006.854) (-1999.013) [-1986.626] (-2008.365) -- 0:01:19
897000 -- (-2008.245) (-1994.785) [-1995.853] (-1989.825) * (-1998.313) (-2021.554) (-1993.875) [-1999.982] -- 0:01:18
898000 -- (-2013.897) (-1998.691) (-1997.255) [-1985.000] * [-1984.245] (-2003.984) (-1990.233) (-2004.551) -- 0:01:17
899000 -- [-1991.854] (-1998.053) (-2001.292) (-2003.257) * [-1985.231] (-2000.045) (-1992.030) (-2020.044) -- 0:01:17
900000 -- (-1995.619) (-1994.763) [-1992.282] (-2010.499) * (-1999.513) (-1997.171) [-1996.434] (-2017.942) -- 0:01:16
Average standard deviation of split frequencies: 0.006191
901000 -- (-2005.403) (-2008.692) (-1985.679) [-2002.422] * (-2005.586) [-1984.039] (-2015.494) (-2005.212) -- 0:01:15
902000 -- (-1991.304) (-1980.402) (-2000.530) [-1995.877] * (-1989.983) (-1997.740) (-2026.601) [-1986.429] -- 0:01:14
903000 -- [-1990.662] (-1997.110) (-2004.964) (-1999.865) * (-1996.355) [-1999.226] (-1996.350) (-2006.810) -- 0:01:14
904000 -- [-1989.558] (-1981.367) (-2006.817) (-1999.936) * (-1997.878) [-2004.189] (-2010.582) (-2011.841) -- 0:01:13
905000 -- [-1999.625] (-1995.268) (-2008.357) (-2010.748) * [-1988.006] (-2001.664) (-2008.973) (-1992.079) -- 0:01:12
Average standard deviation of split frequencies: 0.006355
906000 -- (-2006.194) (-2004.834) (-1995.097) [-1984.732] * [-1988.627] (-2001.419) (-1989.299) (-2002.440) -- 0:01:11
907000 -- (-2013.669) [-1988.331] (-2004.368) (-1999.647) * [-2000.311] (-2003.460) (-1987.031) (-1994.897) -- 0:01:10
908000 -- (-2007.591) [-1994.743] (-2019.311) (-1999.818) * (-2003.384) (-2014.553) [-1981.199] (-2003.550) -- 0:01:10
909000 -- (-1996.408) (-2006.674) (-2010.748) [-1986.629] * (-1994.488) [-1995.779] (-2004.750) (-2000.680) -- 0:01:09
910000 -- (-1987.344) [-1986.836] (-2024.331) (-2000.581) * (-1993.041) [-1995.656] (-1995.076) (-1993.655) -- 0:01:08
Average standard deviation of split frequencies: 0.006711
911000 -- (-2001.818) [-1989.115] (-2009.319) (-2013.411) * (-2008.035) (-1997.218) [-2000.341] (-2011.183) -- 0:01:07
912000 -- (-2020.358) [-1999.961] (-1991.438) (-2016.689) * (-2008.278) [-1986.658] (-2009.592) (-2000.486) -- 0:01:07
913000 -- (-1999.732) (-2004.223) [-1990.775] (-2003.287) * (-2001.237) [-1986.820] (-2005.640) (-1998.252) -- 0:01:06
914000 -- (-2022.905) [-2001.855] (-1989.707) (-1989.469) * (-2024.489) (-1996.012) (-1991.144) [-1991.930] -- 0:01:05
915000 -- (-1999.135) (-2007.299) [-1993.951] (-1990.902) * (-2004.441) [-1996.962] (-1998.773) (-1997.579) -- 0:01:04
Average standard deviation of split frequencies: 0.006598
916000 -- (-1993.156) (-1992.404) (-1998.976) [-1996.886] * (-1999.538) (-1996.724) (-1991.725) [-1995.896] -- 0:01:04
917000 -- [-1979.679] (-1989.820) (-1997.092) (-2018.019) * (-2001.560) (-1986.998) [-1984.309] (-2003.533) -- 0:01:03
918000 -- [-1984.147] (-2001.300) (-1988.967) (-2007.506) * (-1997.242) [-1979.797] (-1996.670) (-2004.932) -- 0:01:02
919000 -- (-1984.171) (-2006.413) (-1994.671) [-1992.632] * (-2005.146) (-1991.822) (-1995.928) [-1995.980] -- 0:01:01
920000 -- [-1977.709] (-2011.608) (-1997.743) (-2000.317) * (-1993.921) (-2003.170) [-1994.441] (-1994.431) -- 0:01:01
Average standard deviation of split frequencies: 0.006565
921000 -- (-2011.219) [-2008.227] (-1987.375) (-1986.043) * (-1993.846) [-1993.884] (-2007.303) (-2008.106) -- 0:01:00
922000 -- [-1992.518] (-2009.423) (-1987.367) (-2009.942) * [-1993.733] (-2006.832) (-2006.111) (-1998.788) -- 0:00:59
923000 -- [-1992.906] (-2005.341) (-1994.425) (-2009.465) * (-1992.412) (-2004.830) [-1987.077] (-1994.581) -- 0:00:58
924000 -- (-2022.036) (-2015.825) [-1985.811] (-2000.239) * (-1991.067) (-1989.327) [-1981.238] (-1990.398) -- 0:00:58
925000 -- (-2006.885) (-1979.873) (-1994.836) [-1986.672] * (-1989.876) [-1997.079] (-2002.834) (-1996.340) -- 0:00:57
Average standard deviation of split frequencies: 0.006565
926000 -- [-1993.177] (-2003.856) (-2001.609) (-1995.858) * [-1998.257] (-1996.457) (-2003.441) (-1991.547) -- 0:00:56
927000 -- [-1984.507] (-1999.043) (-2005.610) (-1996.136) * (-1999.500) (-2003.445) (-2018.948) [-1991.268] -- 0:00:55
928000 -- (-1995.036) [-1991.246] (-2001.620) (-1992.366) * (-2006.402) [-1998.429] (-2014.593) (-1985.296) -- 0:00:55
929000 -- (-1988.271) [-1988.675] (-2013.934) (-1974.239) * (-1991.807) (-1990.923) (-2017.552) [-1989.467] -- 0:00:54
930000 -- (-2000.507) (-1994.661) (-1999.730) [-1987.514] * (-1992.848) [-1999.487] (-1999.923) (-2000.568) -- 0:00:53
Average standard deviation of split frequencies: 0.007004
931000 -- (-1994.854) [-1994.032] (-2004.512) (-1990.315) * (-2015.981) (-2004.895) [-1999.298] (-1990.528) -- 0:00:52
932000 -- (-1994.774) [-1985.687] (-2018.060) (-1997.858) * (-2002.577) (-1993.684) [-1989.119] (-1998.520) -- 0:00:51
933000 -- [-1987.483] (-1998.844) (-1997.256) (-2000.173) * (-2018.923) [-1996.144] (-1997.644) (-1998.442) -- 0:00:51
934000 -- [-1984.929] (-2009.539) (-2005.027) (-1997.685) * (-2007.021) (-1999.935) [-1983.048] (-1992.298) -- 0:00:50
935000 -- [-1995.415] (-2019.042) (-1991.241) (-1998.955) * (-2020.770) (-2005.400) (-1988.873) [-1992.157] -- 0:00:49
Average standard deviation of split frequencies: 0.006947
936000 -- (-1991.545) (-2004.069) (-1985.612) [-1988.204] * (-2018.135) (-1996.606) (-1992.624) [-1988.190] -- 0:00:48
937000 -- (-1998.208) (-1990.974) (-2010.383) [-1990.489] * (-2028.216) (-2004.178) [-1988.101] (-1990.335) -- 0:00:48
938000 -- (-2022.441) (-1990.039) (-2012.339) [-1990.255] * (-2004.226) (-2005.188) (-1990.412) [-1993.188] -- 0:00:47
939000 -- (-2004.837) [-1996.279] (-2008.558) (-2000.804) * [-1988.127] (-2026.091) (-2011.739) (-1994.661) -- 0:00:46
940000 -- (-2014.124) [-1990.701] (-1993.360) (-1998.202) * (-2009.448) (-2025.495) (-2005.487) [-1994.790] -- 0:00:45
Average standard deviation of split frequencies: 0.006653
941000 -- (-2005.497) (-1994.283) (-1994.541) [-2002.890] * (-2011.717) (-2013.140) (-1999.391) [-1985.732] -- 0:00:45
942000 -- (-2003.020) (-2003.182) [-1986.926] (-1999.893) * (-2006.722) [-1995.774] (-2010.319) (-2005.689) -- 0:00:44
943000 -- (-2013.345) (-1996.384) [-1997.754] (-1997.668) * (-1995.397) (-2010.489) (-2006.819) [-1981.208] -- 0:00:43
944000 -- (-2000.048) [-1987.704] (-1995.203) (-2000.196) * (-2004.302) [-1993.671] (-1993.850) (-1999.085) -- 0:00:42
945000 -- (-1996.850) (-2005.428) (-1982.247) [-1988.565] * [-1990.945] (-2009.738) (-1999.472) (-2001.740) -- 0:00:42
Average standard deviation of split frequencies: 0.006444
946000 -- (-2023.562) (-2015.804) (-2003.435) [-1989.808] * [-1990.013] (-2002.332) (-1989.804) (-2003.988) -- 0:00:41
947000 -- (-2034.022) [-1988.006] (-2000.190) (-1999.339) * (-1996.157) (-2002.201) [-1984.908] (-1990.801) -- 0:00:40
948000 -- (-2024.147) [-1995.511] (-2001.412) (-1994.019) * (-2018.544) (-2009.725) (-1985.865) [-1996.420] -- 0:00:39
949000 -- (-2005.879) (-2014.745) [-1991.722] (-1995.994) * (-2026.976) (-2003.959) (-1989.179) [-1994.066] -- 0:00:38
950000 -- (-2001.435) (-1998.859) (-1990.505) [-1995.339] * (-2017.165) (-2005.494) (-1989.348) [-1984.141] -- 0:00:38
Average standard deviation of split frequencies: 0.006549
951000 -- (-2014.520) (-1992.374) (-2008.698) [-1992.255] * (-2007.846) (-2018.375) [-1986.733] (-1998.065) -- 0:00:37
952000 -- (-1987.324) [-1985.044] (-2019.969) (-2006.957) * [-1991.422] (-1984.716) (-1995.718) (-1999.912) -- 0:00:36
953000 -- [-1985.333] (-1992.875) (-2010.074) (-2012.042) * (-1997.550) [-1996.849] (-1987.686) (-1997.330) -- 0:00:35
954000 -- (-1993.840) (-1998.703) [-1983.127] (-2009.358) * (-2005.806) (-1998.202) [-1984.312] (-1992.319) -- 0:00:35
955000 -- [-2003.202] (-2000.896) (-1992.986) (-1995.315) * (-1995.859) (-2001.357) [-1989.990] (-2002.900) -- 0:00:34
Average standard deviation of split frequencies: 0.006274
956000 -- (-1992.032) [-1995.015] (-1996.453) (-2002.391) * (-2009.971) [-1985.024] (-1986.332) (-1992.064) -- 0:00:33
957000 -- (-2008.426) (-2000.523) (-1990.401) [-1986.116] * (-2000.000) (-1995.439) [-1981.225] (-1995.837) -- 0:00:32
958000 -- (-2016.788) (-2013.338) (-1991.347) [-1990.003] * [-2006.584] (-1986.480) (-1987.046) (-2007.677) -- 0:00:32
959000 -- [-2002.506] (-1999.530) (-1993.955) (-2021.616) * (-2016.025) [-1980.471] (-2003.286) (-2015.041) -- 0:00:31
960000 -- (-1998.640) [-2001.392] (-2005.951) (-2000.038) * (-2006.263) [-1993.477] (-1992.691) (-2004.824) -- 0:00:30
Average standard deviation of split frequencies: 0.006498
961000 -- (-2009.155) [-1995.348] (-2004.339) (-2000.803) * [-2011.154] (-1996.164) (-1998.134) (-2013.711) -- 0:00:29
962000 -- (-2018.944) [-1993.678] (-1988.670) (-1995.473) * (-1993.994) [-1990.264] (-1981.662) (-2002.734) -- 0:00:29
963000 -- (-2001.409) (-1987.573) [-1991.296] (-2001.023) * (-1998.647) [-1983.317] (-1993.805) (-1992.718) -- 0:00:28
964000 -- (-1995.925) (-2002.110) (-2000.504) [-2001.983] * (-1999.452) (-1991.450) (-2002.368) [-1988.375] -- 0:00:27
965000 -- (-1993.118) [-1986.966] (-1995.412) (-1992.694) * (-2007.954) (-1985.446) [-1990.820] (-2000.803) -- 0:00:26
Average standard deviation of split frequencies: 0.006765
966000 -- (-1985.954) (-2005.780) [-1985.690] (-2000.586) * (-1995.154) (-2003.446) (-2008.040) [-1983.692] -- 0:00:25
967000 -- [-1997.450] (-1987.555) (-1997.318) (-2007.671) * (-1993.657) [-2002.171] (-2012.338) (-2004.615) -- 0:00:25
968000 -- [-1988.821] (-1997.709) (-2004.324) (-2014.993) * (-1987.136) (-2003.428) [-1990.861] (-2005.241) -- 0:00:24
969000 -- [-1993.916] (-1995.182) (-2019.562) (-2018.271) * (-1987.700) (-2004.058) [-1991.893] (-2025.173) -- 0:00:23
970000 -- [-1985.473] (-1985.468) (-1999.754) (-2024.329) * (-2009.466) [-1987.240] (-2010.837) (-2013.192) -- 0:00:22
Average standard deviation of split frequencies: 0.006598
971000 -- [-2001.959] (-1988.390) (-1998.785) (-1999.893) * (-2002.256) [-1981.533] (-2015.243) (-2001.279) -- 0:00:22
972000 -- (-1996.946) [-1994.216] (-1991.072) (-1995.586) * (-1991.516) [-1985.241] (-2008.719) (-1988.797) -- 0:00:21
973000 -- (-2002.225) (-2001.938) (-2000.041) [-1981.954] * (-2028.171) (-1993.525) (-2009.119) [-1985.639] -- 0:00:20
974000 -- (-1998.191) (-2008.349) (-1995.306) [-1987.011] * (-2013.763) (-2002.882) [-1990.372] (-2001.042) -- 0:00:19
975000 -- (-2016.702) [-1983.643] (-2007.763) (-2007.209) * (-2023.460) [-1998.807] (-1995.324) (-2000.294) -- 0:00:19
Average standard deviation of split frequencies: 0.006595
976000 -- [-1993.649] (-2005.607) (-2018.565) (-2016.460) * (-2016.345) (-2003.683) [-1993.085] (-1994.797) -- 0:00:18
977000 -- (-1994.446) (-2020.732) [-1997.171] (-2012.608) * (-2002.576) (-1996.946) [-1990.819] (-1989.075) -- 0:00:17
978000 -- (-2005.397) (-2009.290) [-1981.619] (-1998.963) * (-2015.317) (-2000.434) (-2013.510) [-2003.987] -- 0:00:16
979000 -- (-2010.968) (-2008.551) (-2000.267) [-1997.266] * (-2016.149) [-1989.968] (-1999.867) (-1996.548) -- 0:00:16
980000 -- (-1993.411) (-2010.640) [-1993.535] (-2003.015) * (-1996.508) [-1987.191] (-1991.361) (-2011.268) -- 0:00:15
Average standard deviation of split frequencies: 0.006713
981000 -- (-1997.059) (-1999.521) (-2011.547) [-1994.510] * (-2024.517) (-1994.519) (-2000.718) [-1988.488] -- 0:00:14
982000 -- (-2012.073) (-2011.182) [-1988.743] (-1998.223) * (-1999.238) (-1999.267) (-2002.491) [-1994.761] -- 0:00:13
983000 -- (-2010.042) [-1987.796] (-2007.026) (-1992.917) * (-2020.620) [-2013.535] (-2003.137) (-2009.612) -- 0:00:12
984000 -- (-2007.985) [-1992.019] (-2008.218) (-1995.630) * (-1997.111) (-2007.953) [-1989.043] (-2007.349) -- 0:00:12
985000 -- (-2020.088) (-1995.735) [-1986.236] (-2003.265) * [-1983.405] (-2002.353) (-1998.642) (-2009.253) -- 0:00:11
Average standard deviation of split frequencies: 0.006759
986000 -- (-2011.338) (-2001.065) [-2002.565] (-2011.747) * [-1981.017] (-2006.256) (-1997.805) (-2019.071) -- 0:00:10
987000 -- (-1994.168) [-1987.700] (-1999.295) (-2012.196) * (-1993.575) [-1988.449] (-2009.002) (-2003.564) -- 0:00:09
988000 -- [-1998.772] (-1995.152) (-2005.192) (-1998.869) * (-2003.612) (-2001.789) [-2004.123] (-1992.795) -- 0:00:09
989000 -- (-2029.155) (-1988.440) [-1999.190] (-1996.754) * (-2013.899) (-2009.874) [-2007.988] (-1984.279) -- 0:00:08
990000 -- (-2006.053) [-1988.289] (-2012.683) (-1990.611) * (-2008.060) (-2011.422) (-2002.081) [-1988.321] -- 0:00:07
Average standard deviation of split frequencies: 0.006924
991000 -- (-2003.471) (-1988.190) (-2006.286) [-1991.753] * (-2001.561) [-1990.723] (-1994.682) (-1980.106) -- 0:00:06
992000 -- (-2006.913) [-1988.580] (-1996.792) (-1994.167) * [-1989.728] (-1996.843) (-1987.795) (-1998.227) -- 0:00:06
993000 -- (-2013.456) (-1980.194) [-1994.332] (-1987.653) * (-1998.383) (-1984.578) [-1985.194] (-2011.323) -- 0:00:05
994000 -- (-2001.301) [-1992.963] (-2003.806) (-1994.910) * (-2008.319) (-1992.039) (-1982.404) [-1984.886] -- 0:00:04
995000 -- (-2001.252) (-1999.776) [-1992.538] (-1981.857) * (-2003.424) [-1992.713] (-2005.237) (-1992.312) -- 0:00:03
Average standard deviation of split frequencies: 0.006920
996000 -- [-1987.794] (-2008.035) (-1990.408) (-1990.503) * (-2014.879) (-1994.348) [-2000.220] (-2008.528) -- 0:00:03
997000 -- (-1999.168) (-1992.822) [-1988.561] (-1994.853) * [-1994.047] (-1997.117) (-2001.171) (-1993.781) -- 0:00:02
998000 -- (-1991.129) (-2002.486) [-1990.019] (-2010.797) * (-2006.473) [-1988.406] (-1996.715) (-2002.755) -- 0:00:01
999000 -- [-1997.151] (-2015.094) (-2007.145) (-2003.903) * (-2003.991) (-1981.845) [-1987.877] (-2014.592) -- 0:00:00
1000000 -- (-1993.105) (-2005.785) (-2004.648) [-2004.003] * (-2017.252) (-2008.042) (-2003.152) [-1995.525] -- 0:00:00
Average standard deviation of split frequencies: 0.006628
Analysis completed in 12 mins 44 seconds
Analysis used 763.04 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1970.33
Likelihood of best state for "cold" chain of run 2 was -1970.77
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
50.7 % ( 45 %) Dirichlet(Revmat{all})
68.0 % ( 57 %) Slider(Revmat{all})
25.5 % ( 22 %) Dirichlet(Pi{all})
27.8 % ( 26 %) Slider(Pi{all})
60.9 % ( 39 %) Multiplier(Alpha{1,2})
56.9 % ( 33 %) Multiplier(Alpha{3})
58.4 % ( 28 %) Slider(Pinvar{all})
45.8 % ( 48 %) ExtSPR(Tau{all},V{all})
40.7 % ( 46 %) ExtTBR(Tau{all},V{all})
53.9 % ( 56 %) NNI(Tau{all},V{all})
42.1 % ( 41 %) ParsSPR(Tau{all},V{all})
27.2 % ( 20 %) Multiplier(V{all})
63.9 % ( 56 %) Nodeslider(V{all})
25.8 % ( 28 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
50.7 % ( 49 %) Dirichlet(Revmat{all})
68.6 % ( 60 %) Slider(Revmat{all})
26.3 % ( 27 %) Dirichlet(Pi{all})
27.9 % ( 27 %) Slider(Pi{all})
61.9 % ( 46 %) Multiplier(Alpha{1,2})
55.3 % ( 31 %) Multiplier(Alpha{3})
57.4 % ( 30 %) Slider(Pinvar{all})
46.1 % ( 44 %) ExtSPR(Tau{all},V{all})
40.6 % ( 49 %) ExtTBR(Tau{all},V{all})
53.9 % ( 53 %) NNI(Tau{all},V{all})
41.5 % ( 32 %) ParsSPR(Tau{all},V{all})
27.2 % ( 27 %) Multiplier(V{all})
63.8 % ( 52 %) Nodeslider(V{all})
25.8 % ( 32 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.50 0.19 0.06
2 | 166699 0.52 0.21
3 | 166396 166520 0.54
4 | 167041 167206 166138
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.50 0.19 0.05
2 | 166402 0.52 0.21
3 | 166505 166623 0.54
4 | 166656 167100 166714
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)
+------------------------------------------------------------+ -1987.85
| 1 |
| 1 |
| 2 2 11 |
| 21 1 2 |
| 2 2 2 1 2 1 2 22 |
| 1 1 12 11 11 21 2 22 2 2 |
| 2 1 2 2 2 1 2 21 2 1 1 |
| 212 1 21 1 1 1 2 21 1 22 1 |
| 1* * 2 21 1 2 12 2 2 |
|21 1 1 2 2 1 1 1 2 2 |
| 2 122 2 1 1 2 2 2 2 2 1 111 11 12|
| 1 1 2 1 1 2 |
|1 2 2 1|
| 1 2 |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1995.47
^ ^
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 -1979.93 -2009.16
2 -1979.34 -2008.06
--------------------------------------
TOTAL -1979.59 -2008.76
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.208105 0.000777 0.156734 0.266364 0.205888 1416.24 1430.59 1.002
r(A<->C){all} 0.062806 0.000795 0.012863 0.117896 0.059327 586.07 633.22 1.000
r(A<->G){all} 0.245263 0.002406 0.159051 0.346518 0.241560 584.62 603.22 1.000
r(A<->T){all} 0.048826 0.000286 0.019368 0.083297 0.046830 627.42 916.48 1.000
r(C<->G){all} 0.017885 0.000270 0.000008 0.049938 0.013168 734.94 780.58 1.000
r(C<->T){all} 0.541407 0.003342 0.422944 0.648202 0.543139 609.36 610.79 1.000
r(G<->T){all} 0.083813 0.000506 0.043931 0.129946 0.081692 828.83 882.33 1.001
pi(A){all} 0.253076 0.000190 0.228451 0.281707 0.252884 1150.68 1184.29 1.000
pi(C){all} 0.150485 0.000129 0.128504 0.173110 0.150194 996.03 1108.98 1.001
pi(G){all} 0.222474 0.000187 0.197237 0.249934 0.222357 1049.88 1065.30 1.001
pi(T){all} 0.373965 0.000241 0.345825 0.405475 0.373586 1092.15 1184.08 1.000
alpha{1,2} 0.091050 0.003018 0.000122 0.179526 0.090901 892.46 1044.23 1.002
alpha{3} 3.137800 1.952261 1.008626 5.968073 2.893633 1383.14 1442.07 1.000
pinvar{all} 0.568108 0.004894 0.437935 0.708250 0.572757 1294.12 1315.17 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 -- C208
2 -- C270
3 -- C50
4 -- C112
5 -- C174
6 -- C199
7 -- C246
8 -- C280
9 -- C38
10 -- C53
11 -- C287
12 -- C73
13 -- C44
14 -- C182
15 -- C213
16 -- C217
17 -- C151
18 -- C223
19 -- C230
20 -- C258
21 -- C30
22 -- C122
23 -- C130
24 -- C131
25 -- C72
26 -- C31
27 -- C136
28 -- C77
29 -- C79
30 -- C84
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ......*............*.*........
32 -- ..*.**..*.*.**..*........*****
33 -- .*.*..**.*.*.....*****..*.....
34 -- ...*.............*............
35 -- .*************..******.*******
36 -- .*************.***************
37 -- .*.*..**.*.*.....*****.**.....
38 -- ..*..*..*.*.**..*........*****
39 -- ............................**
40 -- .......*...*........*.........
41 -- ..*.....*.*.*...*........*****
42 -- .......*............*.........
43 -- .*************.*******.*******
44 -- .*.*..**...*.....*****..*.....
45 -- ...............*......*.......
46 -- .....*.......*................
47 -- ......*............*..........
48 -- ...................*.*........
49 -- ..*..*..*.*.*...*........*****
50 -- ......*..............*........
51 -- ..*.....*.*.**..*........*****
52 -- .......*...*..................
53 -- ......**...*.......***........
54 -- ...........*........*.........
55 -- ...*.............**...........
56 -- ...*.............*......*.....
57 -- ..................*.....*.....
58 -- .*................*...........
59 -- .*......................*.....
------------------------------------
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 3002 1.000000 0.000000 1.000000 1.000000 2
36 3000 0.999334 0.000000 0.999334 0.999334 2
37 2999 0.999001 0.000471 0.998668 0.999334 2
38 2992 0.996669 0.000942 0.996003 0.997335 2
39 2772 0.923384 0.009422 0.916722 0.930047 2
40 2482 0.826782 0.016959 0.814790 0.838774 2
41 2160 0.719520 0.002827 0.717522 0.721519 2
42 2132 0.710193 0.021670 0.694870 0.725516 2
43 1667 0.555296 0.003298 0.552965 0.557628 2
44 1140 0.379747 0.019786 0.365756 0.393738 2
45 1123 0.374084 0.008009 0.368421 0.379747 2
46 1109 0.369420 0.008009 0.363757 0.375083 2
47 1047 0.348767 0.002355 0.347102 0.350433 2
48 1007 0.335443 0.005182 0.331779 0.339107 2
49 964 0.321119 0.010364 0.313791 0.328448 2
50 948 0.315789 0.002827 0.313791 0.317788 2
51 781 0.260160 0.012719 0.251166 0.269154 2
52 446 0.148568 0.015075 0.137908 0.159227 2
53 431 0.143571 0.009893 0.136576 0.150566 2
54 329 0.109594 0.006124 0.105263 0.113924 2
55 317 0.105596 0.002355 0.103931 0.107262 2
56 316 0.105263 0.004711 0.101932 0.108594 2
57 301 0.100266 0.012719 0.091272 0.109260 2
58 300 0.099933 0.000942 0.099267 0.100600 2
59 293 0.097602 0.015546 0.086609 0.108594 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] 0.001094 0.000001 0.000001 0.003312 0.000770 1.000 2
length{all}[2] 0.002161 0.000003 0.000018 0.005265 0.001802 1.000 2
length{all}[3] 0.002106 0.000002 0.000077 0.005222 0.001750 1.000 2
length{all}[4] 0.002113 0.000003 0.000007 0.005346 0.001713 1.000 2
length{all}[5] 0.004429 0.000005 0.000890 0.009233 0.004010 1.000 2
length{all}[6] 0.003380 0.000004 0.000267 0.007392 0.002943 1.000 2
length{all}[7] 0.004377 0.000005 0.000577 0.008774 0.003946 1.000 2
length{all}[8] 0.002592 0.000004 0.000029 0.006271 0.002180 1.000 2
length{all}[9] 0.001035 0.000001 0.000000 0.003056 0.000706 1.000 2
length{all}[10] 0.007274 0.000009 0.002326 0.013362 0.006790 1.000 2
length{all}[11] 0.002153 0.000002 0.000034 0.005182 0.001779 1.000 2
length{all}[12] 0.002324 0.000003 0.000019 0.005533 0.001945 1.000 2
length{all}[13] 0.001057 0.000001 0.000000 0.003166 0.000730 1.000 2
length{all}[14] 0.001166 0.000001 0.000000 0.003534 0.000782 1.000 2
length{all}[15] 0.001072 0.000001 0.000000 0.003241 0.000739 1.001 2
length{all}[16] 0.009552 0.000017 0.002516 0.017827 0.009012 1.000 2
length{all}[17] 0.001035 0.000001 0.000000 0.003104 0.000710 1.000 2
length{all}[18] 0.001129 0.000001 0.000002 0.003367 0.000800 1.000 2
length{all}[19] 0.002223 0.000002 0.000114 0.005331 0.001859 1.001 2
length{all}[20] 0.001082 0.000001 0.000000 0.003358 0.000705 1.000 2
length{all}[21] 0.005999 0.000008 0.001421 0.011638 0.005588 1.000 2
length{all}[22] 0.003277 0.000004 0.000272 0.007040 0.002919 1.002 2
length{all}[23] 0.007028 0.000010 0.001971 0.013221 0.006540 1.001 2
length{all}[24] 0.001199 0.000001 0.000001 0.003699 0.000825 1.000 2
length{all}[25] 0.002166 0.000002 0.000015 0.005142 0.001773 1.000 2
length{all}[26] 0.001073 0.000001 0.000001 0.003118 0.000763 1.000 2
length{all}[27] 0.001070 0.000001 0.000000 0.003216 0.000733 1.000 2
length{all}[28] 0.001076 0.000001 0.000000 0.003219 0.000729 1.000 2
length{all}[29] 0.002220 0.000003 0.000017 0.005364 0.001880 1.000 2
length{all}[30] 0.003319 0.000004 0.000248 0.007147 0.002919 1.000 2
length{all}[31] 0.005509 0.000007 0.001266 0.010635 0.005092 1.000 2
length{all}[32] 0.014335 0.000029 0.005253 0.025430 0.013591 1.001 2
length{all}[33] 0.005066 0.000006 0.000693 0.009698 0.004741 1.000 2
length{all}[34] 0.004408 0.000005 0.000706 0.008671 0.004025 1.001 2
length{all}[35] 0.043466 0.000103 0.025454 0.063301 0.042343 1.001 2
length{all}[36] 0.009014 0.000015 0.001942 0.016547 0.008548 1.000 2
length{all}[37] 0.011864 0.000025 0.003226 0.021947 0.011273 1.000 2
length{all}[38] 0.004518 0.000006 0.000542 0.009003 0.004121 1.000 2
length{all}[39] 0.002174 0.000002 0.000094 0.005145 0.001834 1.000 2
length{all}[40] 0.002200 0.000003 0.000011 0.005468 0.001768 1.000 2
length{all}[41] 0.002139 0.000002 0.000013 0.005073 0.001790 1.003 2
length{all}[42] 0.002223 0.000003 0.000011 0.005530 0.001843 1.000 2
length{all}[43] 0.004440 0.000009 0.000001 0.010041 0.003871 1.000 2
length{all}[44] 0.002005 0.000002 0.000003 0.005059 0.001611 1.000 2
length{all}[45] 0.004086 0.000009 0.000003 0.009487 0.003569 1.000 2
length{all}[46] 0.001410 0.000002 0.000002 0.004148 0.001032 1.002 2
length{all}[47] 0.001138 0.000001 0.000002 0.003665 0.000770 0.999 2
length{all}[48] 0.001148 0.000001 0.000000 0.003394 0.000792 0.999 2
length{all}[49] 0.001376 0.000002 0.000001 0.003909 0.001003 0.999 2
length{all}[50] 0.001109 0.000001 0.000000 0.003291 0.000779 1.001 2
length{all}[51] 0.001125 0.000001 0.000000 0.003095 0.000801 0.999 2
length{all}[52] 0.001410 0.000002 0.000003 0.003839 0.001067 1.001 2
length{all}[53] 0.001749 0.000003 0.000004 0.004948 0.001222 0.998 2
length{all}[54] 0.001218 0.000001 0.000005 0.003310 0.000905 0.998 2
length{all}[55] 0.001005 0.000001 0.000003 0.002866 0.000736 1.001 2
length{all}[56] 0.001094 0.000001 0.000003 0.003114 0.000780 0.998 2
length{all}[57] 0.000998 0.000001 0.000004 0.002966 0.000697 1.014 2
length{all}[58] 0.001188 0.000002 0.000003 0.003400 0.000800 1.003 2
length{all}[59] 0.001155 0.000002 0.000003 0.003458 0.000799 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.006628
Maximum standard deviation of split frequencies = 0.021670
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.014
Clade credibility values:
/--------------------------------------------------------------------- C208 (1)
|
|--------------------------------------------------------------------- C213 (15)
|
| /-------------------------- C270 (2)
| |
| | /--------- C112 (4)
| |-------100------+
| | \--------- C223 (18)
| |
| | /--------- C246 (7)
| | |
| |-------100------+--------- C258 (20)
| | |
| | \--------- C122 (22)
| /--100--+
| | | /--------- C280 (8)
| | | /---71--+
| | | | \--------- C30 (21)
| | |---83---+
| | | \----------------- C73 (12)
| | |
| /---100--+ |-------------------------- C53 (10)
| | | |
| | | |-------------------------- C230 (19)
| | | |
+ | | \-------------------------- C72 (25)
| | |
| | \---------------------------------- C131 (24)
| |
| | /----------------- C50 (3)
| | |
| | |----------------- C38 (9)
| | |
| | |----------------- C287 (11)
| | |
| /---100--+ |----------------- C44 (13)
| | | |
| | | |----------------- C151 (17)
| | | /---72---+
| | | | |----------------- C31 (26)
| | | | |
| | | | |----------------- C136 (27)
| | | | |
| | | | |----------------- C77 (28)
| | | | |
| /---56--+ | /--100--+ | /--------- C79 (29)
| | | | | | \---92--+
| | | | | | \--------- C84 (30)
| | | | | |
| | | \---100--+ |-------------------------- C199 (6)
| | | | |
\---100--+ | | \-------------------------- C182 (14)
| | |
| | \---------------------------------- C174 (5)
| |
| \---------------------------------------------------- C217 (16)
|
\------------------------------------------------------------ C130 (23)
Phylogram (based on average branch lengths):
/- C208 (1)
|
|- C213 (15)
|
| /-- C270 (2)
| |
| | /-- C112 (4)
| |--+
| | \- C223 (18)
| |
| | /---- C246 (7)
| | |
| |---+- C258 (20)
| | |
| | \--- C122 (22)
| /---+
| | | /-- C280 (8)
| | |/-+
| | || \----- C30 (21)
| | |+
| | |\-- C73 (12)
| | |
| /---------+ |------ C53 (10)
| | | |
| | | |-- C230 (19)
| | | |
+ | | \-- C72 (25)
| | |
| | \- C131 (24)
| |
| | /-- C50 (3)
| | |
| | |- C38 (9)
| | |
| | |-- C287 (11)
| | |
| /------------------------------------+ |- C44 (13)
| | | |
| | | |- C151 (17)
| | | /-+
| | | | |- C31 (26)
| | | | |
| | | | |- C136 (27)
| | | | |
| | | | |- C77 (28)
| | | | |
| /---+ | /--+ | /- C79 (29)
| | | | | | \-+
| | | | | | \-- C84 (30)
| | | | | |
| | | \-----------+ |--- C199 (6)
| | | | |
\------+ | | \- C182 (14)
| | |
| | \--- C174 (5)
| |
| \-------- C217 (16)
|
\------ C130 (23)
|-------| 0.010 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 14:40:00 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 10:44:18 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_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 C182 909 sites
reading seq# 2 C217 909 sites
reading seq# 3 C213 909 sites
reading seq# 4 C287 909 sites
reading seq# 5 C223 909 sites
reading seq# 6 C151 909 sites
reading seq# 7 C230 909 sites
reading seq# 8 C44 909 sites
reading seq# 9 C77 909 sites
reading seq#10 C258 909 sites
reading seq#11 C270 909 sites
reading seq#12 C208 909 sites
reading seq#13 C50 909 sites
reading seq#14 C30 909 sites
reading seq#15 C122 909 sites
reading seq#16 C174 909 sites
reading seq#17 C112 909 sites
reading seq#18 C199 909 sites
reading seq#19 C131 909 sites
reading seq#20 C130 909 sites
reading seq#21 C280 909 sites
reading seq#22 C246 909 sites
reading seq#23 C31 909 sites
reading seq#24 C136 909 sites
reading seq#25 C72 909 sites
reading seq#26 C53 909 sites
reading seq#27 C38 909 sites
reading seq#28 C84 909 sites
reading seq#29 C79 909 sites
reading seq#30 C73 909 sitesns = 30 ls = 909
Reading sequences, sequential format..
Reading seq # 1: C182
Reading seq # 2: C217
Reading seq # 3: C213
Reading seq # 4: C287
Reading seq # 5: C223
Reading seq # 6: C151
Reading seq # 7: C230
Reading seq # 8: C44
Reading seq # 9: C77
Reading seq #10: C258
Reading seq #11: C270
Reading seq #12: C208
Reading seq #13: C50
Reading seq #14: C30
Reading seq #15: C122
Reading seq #16: C174
Reading seq #17: C112
Reading seq #18: C199
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C280
Reading seq #22: C246
Reading seq #23: C31
Reading seq #24: C136
Reading seq #25: C72
Reading seq #26: C53
Reading seq #27: C38
Reading seq #28: C84
Reading seq #29: C79
Reading seq #30: C73
Sequences read..
Counting site patterns.. 0:00
Compressing, 130 patterns at 303 / 303 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 130 patterns at 303 / 303 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
126880 bytes for conP
11440 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
888160 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.031460 0.098359 0.076494 0.085582 0.075309 0.052583 0.094794 0.030793 0.069711 0.108633 0.097595 0.080290 0.093959 0.103352 0.052650 0.086139 0.029857 0.015317 0.043305 0.063971 0.019011 0.083482 0.045666 0.023108 0.079793 0.032761 0.102150 0.030959 0.026157 0.054977 0.021116 0.097631 0.105500 0.068621 0.107252 0.041698 0.047750 0.055860 0.102416 0.073053 0.092879 0.050223 0.091607 0.300000 0.875169 0.245059
ntime & nrate & np: 43 2 46
Bounds (np=46):
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 999.000000 0.999990 1.000000
Qfactor_NS = 15.832861
np = 46
lnL0 = -2505.980437
Iterating by ming2
Initial: fx= 2505.980437
x= 0.03146 0.09836 0.07649 0.08558 0.07531 0.05258 0.09479 0.03079 0.06971 0.10863 0.09759 0.08029 0.09396 0.10335 0.05265 0.08614 0.02986 0.01532 0.04331 0.06397 0.01901 0.08348 0.04567 0.02311 0.07979 0.03276 0.10215 0.03096 0.02616 0.05498 0.02112 0.09763 0.10550 0.06862 0.10725 0.04170 0.04775 0.05586 0.10242 0.07305 0.09288 0.05022 0.09161 0.30000 0.87517 0.24506
1 h-m-p 0.0000 0.0001 1579.7398 ++ 2309.629593 m 0.0001 51 | 0/46
2 h-m-p 0.0000 0.0000 119878.3810 ++ 2308.735821 m 0.0000 100 | 1/46
3 h-m-p 0.0000 0.0000 1894.2088 ++ 2290.185065 m 0.0000 149 | 2/46
4 h-m-p 0.0000 0.0000 8887.0791 ++ 2275.743183 m 0.0000 198 | 3/46
5 h-m-p 0.0000 0.0000 43231.1309 ++ 2238.313048 m 0.0000 247 | 4/46
6 h-m-p 0.0000 0.0000 7262.6700 ++ 2179.584333 m 0.0000 296 | 4/46
7 h-m-p 0.0000 0.0000 6803.1040 ++ 2119.529711 m 0.0000 345 | 4/46
8 h-m-p 0.0000 0.0000 50500.2781 +CYYCYCCC 2107.953440 7 0.0000 406 | 4/46
9 h-m-p 0.0000 0.0000 31171.5997 ++ 2100.520495 m 0.0000 455 | 5/46
10 h-m-p 0.0000 0.0000 1047.7472 ++ 2095.799132 m 0.0000 504 | 6/46
11 h-m-p 0.0000 0.0001 534.6147 +CYCCC 2077.114542 4 0.0001 561 | 6/46
12 h-m-p 0.0000 0.0000 649.3626 ++ 2072.520379 m 0.0000 610 | 7/46
13 h-m-p 0.0000 0.0000 885.4016 ++ 2071.487972 m 0.0000 659 | 8/46
14 h-m-p 0.0000 0.0000 987.6896 ++ 2070.071583 m 0.0000 708 | 9/46
15 h-m-p 0.0000 0.0000 2048.9748 ++ 2066.401243 m 0.0000 757 | 10/46
16 h-m-p 0.0000 0.0000 53805.1414 ++ 2065.629963 m 0.0000 806 | 11/46
17 h-m-p 0.0000 0.0000 467.3713 ++ 2065.292838 m 0.0000 855 | 12/46
18 h-m-p 0.0000 0.0003 203.0261 +++ 2051.215508 m 0.0003 905 | 11/46
19 h-m-p 0.0000 0.0000 1343.1744
h-m-p: 1.01563009e-22 5.07815044e-22 1.34317437e+03 2051.215508
.. | 11/46
20 h-m-p 0.0000 0.0001 233323.7017 --YYCYYCC 2039.607082 6 0.0000 1011 | 11/46
21 h-m-p 0.0000 0.0000 4719.3487 ++ 2025.358501 m 0.0000 1060 | 12/46
22 h-m-p 0.0000 0.0001 793.0050 ++ 2000.610349 m 0.0001 1109 | 12/46
23 h-m-p 0.0000 0.0000 3395.0229 +YYCYCCC 1985.960933 6 0.0000 1169 | 12/46
24 h-m-p 0.0000 0.0000 2738.4282 +YCYYCCC 1979.569589 6 0.0000 1228 | 12/46
25 h-m-p 0.0000 0.0000 10343.9230 +YYYYC 1975.476466 4 0.0000 1282 | 12/46
26 h-m-p 0.0000 0.0000 2313.4048 +YYCCC 1970.959468 4 0.0000 1338 | 12/46
27 h-m-p 0.0000 0.0000 4845.9816 +YYCCCC 1969.682209 5 0.0000 1396 | 12/46
28 h-m-p 0.0000 0.0000 2702.4095 +YYYCCC 1967.442026 5 0.0000 1453 | 12/46
29 h-m-p 0.0000 0.0000 3093.8652 +YYYCCC 1962.012481 5 0.0000 1510 | 12/46
30 h-m-p 0.0000 0.0000 2316.8419 ++ 1956.832075 m 0.0000 1559 | 12/46
31 h-m-p -0.0000 -0.0000 916.9055
h-m-p: -2.93549436e-22 -1.46774718e-21 9.16905531e+02 1956.832075
.. | 12/46
32 h-m-p 0.0000 0.0001 793.3434 +YCCCC 1950.655804 4 0.0000 1662 | 12/46
33 h-m-p 0.0000 0.0001 384.8417 +YYYYCCCCC 1945.447991 8 0.0001 1724 | 12/46
34 h-m-p 0.0000 0.0000 561.5560 +YYCYC 1944.130288 4 0.0000 1779 | 12/46
35 h-m-p 0.0000 0.0000 1168.2580 +YYCCCC 1940.480246 5 0.0000 1837 | 12/46
36 h-m-p 0.0000 0.0001 1073.1054 +YYCCCC 1936.531267 5 0.0000 1895 | 12/46
37 h-m-p 0.0000 0.0000 3819.5804 +YCYCCC 1929.561528 5 0.0000 1953 | 12/46
38 h-m-p 0.0000 0.0000 2190.2596 +YYCCC 1926.308258 4 0.0000 2009 | 12/46
39 h-m-p 0.0000 0.0001 452.1559 YCCC 1924.256569 3 0.0001 2063 | 12/46
40 h-m-p 0.0000 0.0002 727.6753 YCCCC 1920.561838 4 0.0001 2119 | 12/46
41 h-m-p 0.0000 0.0001 1775.6510 +YCCCC 1913.148778 4 0.0001 2176 | 12/46
42 h-m-p 0.0000 0.0001 2032.4527 +YYYYC 1907.630946 4 0.0000 2230 | 12/46
43 h-m-p 0.0000 0.0001 7634.2166 YYCCC 1903.653787 4 0.0000 2285 | 12/46
44 h-m-p 0.0000 0.0001 2297.4514 +YCCCC 1900.529364 4 0.0000 2342 | 12/46
45 h-m-p 0.0000 0.0001 1089.5601 +YYYCCC 1897.470509 5 0.0000 2399 | 12/46
46 h-m-p 0.0000 0.0000 2797.4354 +YCYCC 1896.086542 4 0.0000 2455 | 12/46
47 h-m-p 0.0000 0.0001 427.5992 YCYCCC 1895.406401 5 0.0000 2512 | 12/46
48 h-m-p 0.0000 0.0001 245.5252 CCCC 1895.154301 3 0.0000 2567 | 12/46
49 h-m-p 0.0000 0.0002 294.8735 YC 1894.598566 1 0.0001 2617 | 12/46
50 h-m-p 0.0000 0.0003 435.5390 CYC 1894.056162 2 0.0000 2669 | 12/46
51 h-m-p 0.0000 0.0001 268.1247 CCCC 1893.741505 3 0.0000 2724 | 12/46
52 h-m-p 0.0000 0.0001 380.2835 CCCC 1893.503328 3 0.0000 2779 | 12/46
53 h-m-p 0.0000 0.0001 149.8606 CCC 1893.397248 2 0.0000 2832 | 12/46
54 h-m-p 0.0000 0.0003 169.7703 CCC 1893.245490 2 0.0000 2885 | 12/46
55 h-m-p 0.0001 0.0006 99.1029 YC 1893.180623 1 0.0000 2935 | 12/46
56 h-m-p 0.0002 0.0018 17.6175 CC 1893.169530 1 0.0001 2986 | 12/46
57 h-m-p 0.0002 0.0053 7.0505 YC 1893.166234 1 0.0001 3036 | 12/46
58 h-m-p 0.0001 0.0026 7.0845 YC 1893.164124 1 0.0001 3086 | 12/46
59 h-m-p 0.0001 0.0063 3.5669 YC 1893.154922 1 0.0004 3136 | 12/46
60 h-m-p 0.0001 0.0038 13.4242 +CCC 1893.091030 2 0.0004 3190 | 12/46
61 h-m-p 0.0001 0.0010 37.5460 CCC 1892.969822 2 0.0002 3243 | 12/46
62 h-m-p 0.0001 0.0016 53.1328 YCC 1892.658775 2 0.0003 3295 | 12/46
63 h-m-p 0.0002 0.0008 80.4765 YCCCC 1892.041225 4 0.0003 3351 | 12/46
64 h-m-p 0.0001 0.0007 234.8355 +CYCCC 1888.490675 4 0.0005 3408 | 12/46
65 h-m-p 0.0001 0.0004 776.1030 +YYCCC 1881.778164 4 0.0003 3464 | 12/46
66 h-m-p 0.0000 0.0000 1234.3559 +YYCCCC 1880.734392 5 0.0000 3522 | 12/46
67 h-m-p 0.0132 0.0662 2.4926 +YCYCCC 1878.069387 5 0.0388 3580 | 12/46
68 h-m-p 0.2101 1.0524 0.4603 YCCC 1875.133762 3 0.4026 3634 | 12/46
69 h-m-p 0.4048 2.0238 0.4157 YCCC 1871.874910 3 0.8129 3722 | 12/46
70 h-m-p 0.2878 1.4391 0.3827 +CCC 1867.912882 2 1.2136 3810 | 12/46
71 h-m-p 0.3205 1.6026 0.4616 +YCCC 1865.389850 3 0.8685 3899 | 12/46
72 h-m-p 0.4377 2.1886 0.3587 YCCCC 1863.695040 4 1.1308 3989 | 12/46
73 h-m-p 0.2324 1.1621 0.5312 YCY 1863.184600 2 0.3703 4075 | 12/46
74 h-m-p 0.4992 4.1165 0.3940 YCC 1862.411272 2 0.8843 4161 | 12/46
75 h-m-p 1.3336 8.0000 0.2612 CCC 1862.041500 2 1.1885 4248 | 12/46
76 h-m-p 0.9473 4.7366 0.2603 CC 1861.857374 1 0.8440 4333 | 12/46
77 h-m-p 1.6000 8.0000 0.1022 YCC 1861.795875 2 1.0185 4419 | 12/46
78 h-m-p 1.6000 8.0000 0.0607 CYC 1861.745376 2 1.5250 4505 | 12/46
79 h-m-p 1.6000 8.0000 0.0242 CCC 1861.686559 2 2.0260 4592 | 12/46
80 h-m-p 1.6000 8.0000 0.0108 YC 1861.671228 1 1.2562 4676 | 12/46
81 h-m-p 0.6807 8.0000 0.0200 YC 1861.666964 1 1.2156 4760 | 12/46
82 h-m-p 1.6000 8.0000 0.0087 CC 1861.665403 1 1.3714 4845 | 12/46
83 h-m-p 1.6000 8.0000 0.0005 CC 1861.664242 1 2.2731 4930 | 12/46
84 h-m-p 0.7736 8.0000 0.0015 YC 1861.663011 1 1.7460 5014 | 12/46
85 h-m-p 1.0949 8.0000 0.0025 YC 1861.661078 1 2.1578 5098 | 12/46
86 h-m-p 0.5738 8.0000 0.0092 +YC 1861.659779 1 1.8030 5183 | 12/46
87 h-m-p 1.6000 8.0000 0.0070 C 1861.658796 0 1.7421 5266 | 12/46
88 h-m-p 1.6000 8.0000 0.0006 YC 1861.658458 1 1.2482 5350 | 12/46
89 h-m-p 0.3703 8.0000 0.0020 +Y 1861.658371 0 1.1198 5434 | 12/46
90 h-m-p 1.6000 8.0000 0.0011 C 1861.658340 0 1.3154 5517 | 12/46
91 h-m-p 1.6000 8.0000 0.0008 C 1861.658330 0 1.7092 5600 | 12/46
92 h-m-p 1.6000 8.0000 0.0004 C 1861.658328 0 1.2865 5683 | 12/46
93 h-m-p 1.6000 8.0000 0.0001 Y 1861.658328 0 1.2370 5766 | 12/46
94 h-m-p 1.6000 8.0000 0.0000 C 1861.658328 0 1.5649 5849 | 12/46
95 h-m-p 1.6000 8.0000 0.0000 Y 1861.658328 0 2.5843 5932 | 12/46
96 h-m-p 1.6000 8.0000 0.0000 C 1861.658328 0 0.4511 6015 | 12/46
97 h-m-p 0.7647 8.0000 0.0000 C 1861.658328 0 0.1912 6098 | 12/46
98 h-m-p 0.2402 8.0000 0.0000 ---------C 1861.658328 0 0.0000 6190
Out..
lnL = -1861.658328
6191 lfun, 18573 eigenQcodon, 532426 P(t)
end of tree file.
Time used: 3:12
Model 2: PositiveSelection
TREE # 1
(12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.023415 0.103769 0.073063 0.028338 0.094683 0.012103 0.046813 0.062996 0.061182 0.013571 0.028379 0.018128 0.022773 0.042299 0.090854 0.094296 0.049694 0.046549 0.017170 0.026429 0.016537 0.033947 0.108832 0.041510 0.100974 0.064670 0.099242 0.032182 0.020661 0.047262 0.082547 0.088450 0.056773 0.066781 0.043963 0.104683 0.087587 0.049951 0.052484 0.054100 0.030567 0.047014 0.051948 4.697518 1.679115 0.381912 0.399918 1.433554
ntime & nrate & np: 43 3 48
Bounds (np=48):
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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.405214
np = 48
lnL0 = -2328.179714
Iterating by ming2
Initial: fx= 2328.179714
x= 0.02342 0.10377 0.07306 0.02834 0.09468 0.01210 0.04681 0.06300 0.06118 0.01357 0.02838 0.01813 0.02277 0.04230 0.09085 0.09430 0.04969 0.04655 0.01717 0.02643 0.01654 0.03395 0.10883 0.04151 0.10097 0.06467 0.09924 0.03218 0.02066 0.04726 0.08255 0.08845 0.05677 0.06678 0.04396 0.10468 0.08759 0.04995 0.05248 0.05410 0.03057 0.04701 0.05195 4.69752 1.67911 0.38191 0.39992 1.43355
1 h-m-p 0.0000 0.0001 1274.5838 ++ 2197.716267 m 0.0001 53 | 0/48
2 h-m-p 0.0000 0.0000 44900.8322 ++ 2190.764757 m 0.0000 104 | 1/48
3 h-m-p 0.0000 0.0000 5174.8595 ++ 2174.110045 m 0.0000 155 | 2/48
4 h-m-p 0.0000 0.0000 7589.9215 ++ 2153.472137 m 0.0000 206 | 3/48
5 h-m-p 0.0000 0.0000 593199.1319 ++ 2098.710320 m 0.0000 257 | 4/48
6 h-m-p 0.0000 0.0000 16830.7416 ++ 2092.303689 m 0.0000 308 | 5/48
7 h-m-p 0.0000 0.0000 70348.3890 ++ 2087.645820 m 0.0000 359 | 6/48
8 h-m-p 0.0000 0.0000 101882.4644 ++ 2062.328312 m 0.0000 410 | 7/48
9 h-m-p 0.0000 0.0000 13258.3022 ++ 2055.509982 m 0.0000 461 | 8/48
10 h-m-p 0.0000 0.0000 8564.2928 ++ 2034.875128 m 0.0000 512 | 9/48
11 h-m-p 0.0000 0.0000 2606.9576 ++ 2009.684647 m 0.0000 563 | 10/48
12 h-m-p 0.0000 0.0000 3748.4561 ++ 2001.923607 m 0.0000 614 | 11/48
13 h-m-p 0.0000 0.0000 2719.4684 ++ 1988.248119 m 0.0000 665 | 12/48
14 h-m-p 0.0000 0.0000 828.5225 +YCYYCYCCC 1977.067895 8 0.0000 729 | 12/48
15 h-m-p 0.0000 0.0000 4449.5701 +YYCCC 1971.982707 4 0.0000 787 | 12/48
16 h-m-p 0.0000 0.0000 714.3958 YCCC 1971.038122 3 0.0000 843 | 12/48
17 h-m-p 0.0000 0.0001 246.4190 YCCCC 1970.028845 4 0.0000 901 | 12/48
18 h-m-p 0.0000 0.0001 297.8219 YCCCC 1969.391768 4 0.0000 959 | 12/48
19 h-m-p 0.0000 0.0001 477.1580 +YYCCC 1967.524554 4 0.0001 1017 | 12/48
20 h-m-p 0.0000 0.0001 284.5666 CCCC 1967.101743 3 0.0000 1074 | 12/48
21 h-m-p 0.0000 0.0001 296.4251 CCC 1966.708821 2 0.0000 1129 | 12/48
22 h-m-p 0.0000 0.0002 153.5787 CCC 1966.478153 2 0.0000 1184 | 12/48
23 h-m-p 0.0000 0.0002 235.8320 +YYYYYC 1965.565447 5 0.0001 1241 | 12/48
24 h-m-p 0.0000 0.0002 1723.6368 ++ 1956.845845 m 0.0002 1292 | 12/48
25 h-m-p 0.0000 0.0000 178731.0208 +YYCCCC 1955.506414 5 0.0000 1352 | 12/48
26 h-m-p 0.0000 0.0000 8705.1448 +YYYYYC 1948.597297 5 0.0000 1409 | 12/48
27 h-m-p 0.0000 0.0000 22160.2487 ++ 1944.834287 m 0.0000 1460 | 13/48
28 h-m-p 0.0000 0.0000 33284.1568 +YYCYYCCC 1933.174347 7 0.0000 1522 | 13/48
29 h-m-p 0.0000 0.0000 132080.7916 +YYCYC 1930.880597 4 0.0000 1579 | 13/48
30 h-m-p 0.0000 0.0000 68584.6522 +YYCYCC 1925.727733 5 0.0000 1638 | 13/48
31 h-m-p 0.0000 0.0000 6590.4368 YCYCCC 1922.627472 5 0.0000 1697 | 13/48
32 h-m-p 0.0000 0.0000 6525.2691 +YYYCCC 1919.691907 5 0.0000 1756 | 13/48
33 h-m-p 0.0000 0.0000 13036.9369 +CYC 1916.758844 2 0.0000 1811 | 13/48
34 h-m-p 0.0000 0.0000 7143.5129 YCCC 1915.580565 3 0.0000 1867 | 13/48
35 h-m-p 0.0000 0.0000 960.3327 ++ 1915.170999 m 0.0000 1918 | 13/48
36 h-m-p 0.0000 0.0000 86.8987
h-m-p: 9.82363034e-21 4.91181517e-20 8.68987183e+01 1915.170999
.. | 12/48
37 h-m-p 0.0000 0.0001 14738.5324 YYCYCCCC 1887.391312 7 0.0000 2028 | 12/48
38 h-m-p 0.0000 0.0000 933.9532 ++ 1886.399568 m 0.0000 2079 | 13/48
39 h-m-p 0.0000 0.0000 543.9535 +YYCCCC 1883.597456 5 0.0000 2139 | 13/48
40 h-m-p 0.0000 0.0000 1637.5905 YCCCC 1882.136546 4 0.0000 2197 | 13/48
41 h-m-p 0.0000 0.0000 1558.6657 +YCYCCC 1878.553448 5 0.0000 2257 | 13/48
42 h-m-p 0.0000 0.0000 1939.4685 YCCCC 1877.564565 4 0.0000 2315 | 13/48
43 h-m-p 0.0000 0.0000 381.4287 YCCCC 1877.061071 4 0.0000 2373 | 13/48
44 h-m-p 0.0000 0.0001 576.4907 YCCC 1876.083765 3 0.0000 2429 | 13/48
45 h-m-p 0.0000 0.0000 767.2008 CCCC 1875.393970 3 0.0000 2486 | 13/48
46 h-m-p 0.0000 0.0000 223.2047 CC 1875.278996 1 0.0000 2539 | 13/48
47 h-m-p 0.0000 0.0001 235.8550 CCC 1875.112564 2 0.0000 2594 | 13/48
48 h-m-p 0.0000 0.0001 98.6854 YYC 1875.068504 2 0.0000 2647 | 13/48
49 h-m-p 0.0000 0.0001 133.1163 CC 1875.040114 1 0.0000 2700 | 13/48
50 h-m-p 0.0000 0.0004 64.0418 +YCC 1874.981813 2 0.0001 2755 | 13/48
51 h-m-p 0.0000 0.0001 252.8345 YCC 1874.950839 2 0.0000 2809 | 13/48
52 h-m-p 0.0000 0.0005 136.0937 YC 1874.886861 1 0.0000 2861 | 13/48
53 h-m-p 0.0000 0.0002 196.8082 CCC 1874.800279 2 0.0000 2916 | 13/48
54 h-m-p 0.0000 0.0001 150.9606 YYC 1874.758833 2 0.0000 2969 | 13/48
55 h-m-p 0.0000 0.0001 406.7346 CCC 1874.701813 2 0.0000 3024 | 13/48
56 h-m-p 0.0000 0.0004 176.3945 CCC 1874.630952 2 0.0000 3079 | 13/48
57 h-m-p 0.0001 0.0005 111.3670 CC 1874.575803 1 0.0000 3132 | 13/48
58 h-m-p 0.0001 0.0008 45.5723 CYC 1874.562818 2 0.0000 3186 | 13/48
59 h-m-p 0.0000 0.0008 51.3741 YC 1874.534784 1 0.0001 3238 | 13/48
60 h-m-p 0.0001 0.0007 66.6189 CC 1874.505843 1 0.0001 3291 | 13/48
61 h-m-p 0.0001 0.0028 65.4938 +CC 1874.387532 1 0.0003 3345 | 13/48
62 h-m-p 0.0001 0.0017 153.1248 YCC 1874.205295 2 0.0002 3399 | 13/48
63 h-m-p 0.0001 0.0012 397.7632 +CYCCC 1872.789860 4 0.0005 3458 | 13/48
64 h-m-p 0.0001 0.0004 888.4679 YCYCCC 1871.757252 5 0.0002 3517 | 13/48
65 h-m-p 0.0001 0.0003 2622.2152 YCCC 1869.770378 3 0.0001 3573 | 13/48
66 h-m-p 0.0001 0.0004 2978.6663 CCCC 1868.711596 3 0.0001 3630 | 13/48
67 h-m-p 0.0002 0.0008 46.5747 CCC 1868.695450 2 0.0001 3685 | 13/48
68 h-m-p 0.0005 0.0066 5.2491 CC 1868.692122 1 0.0002 3738 | 13/48
69 h-m-p 0.0003 0.0059 2.4876 YC 1868.686986 1 0.0003 3790 | 13/48
70 h-m-p 0.0001 0.0243 4.5639 +++YCYCCC 1866.954395 5 0.0122 3852 | 13/48
71 h-m-p 0.0287 0.6635 1.9441 +CYCCC 1863.605268 4 0.1598 3911 | 13/48
72 h-m-p 0.6449 3.2244 0.1359 YCCC 1862.266204 3 1.3684 3967 | 13/48
73 h-m-p 1.6000 8.0000 0.0946 YCCC 1861.927727 3 1.0709 4058 | 13/48
74 h-m-p 1.6000 8.0000 0.0395 CYC 1861.789307 2 1.4497 4147 | 13/48
75 h-m-p 1.6000 8.0000 0.0067 C 1861.722659 0 1.6050 4233 | 13/48
76 h-m-p 0.4141 8.0000 0.0259 +YC 1861.675958 1 1.3720 4321 | 13/48
77 h-m-p 1.6000 8.0000 0.0176 YC 1861.663876 1 1.1642 4408 | 13/48
78 h-m-p 1.6000 8.0000 0.0075 YC 1861.661292 1 1.0069 4495 | 13/48
79 h-m-p 1.6000 8.0000 0.0041 C 1861.659262 0 1.6000 4581 | 13/48
80 h-m-p 1.6000 8.0000 0.0015 C 1861.658646 0 1.5350 4667 | 13/48
81 h-m-p 0.9835 8.0000 0.0023 C 1861.658477 0 0.9143 4753 | 13/48
82 h-m-p 1.6000 8.0000 0.0010 C 1861.658420 0 1.7977 4839 | 13/48
83 h-m-p 1.6000 8.0000 0.0004 C 1861.658371 0 2.2627 4925 | 13/48
84 h-m-p 1.6000 8.0000 0.0001 C 1861.658347 0 1.8265 5011 | 13/48
85 h-m-p 0.9429 8.0000 0.0002 +Y 1861.658334 0 2.4413 5098 | 13/48
86 h-m-p 1.4977 8.0000 0.0003 C 1861.658329 0 1.3530 5184 | 13/48
87 h-m-p 1.6000 8.0000 0.0001 C 1861.658328 0 1.4708 5270 | 13/48
88 h-m-p 1.6000 8.0000 0.0000 C 1861.658328 0 1.7319 5356 | 13/48
89 h-m-p 1.6000 8.0000 0.0000 C 1861.658328 0 1.4724 5442 | 13/48
90 h-m-p 1.6000 8.0000 0.0000 C 1861.658328 0 2.2385 5528 | 13/48
91 h-m-p 1.6000 8.0000 0.0000 -Y 1861.658328 0 0.1919 5615 | 13/48
92 h-m-p 0.4975 8.0000 0.0000 C 1861.658328 0 0.1918 5701 | 13/48
93 h-m-p 0.2269 8.0000 0.0000 ---------------.. | 13/48
94 h-m-p 0.0029 1.4587 0.0093 ------------ | 13/48
95 h-m-p 0.0029 1.4587 0.0093 ------------
Out..
lnL = -1861.658328
5993 lfun, 23972 eigenQcodon, 773097 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) = -1880.938959 S = -1826.200261 -58.154810
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 130 patterns 7:50
did 20 / 130 patterns 7:50
did 30 / 130 patterns 7:50
did 40 / 130 patterns 7:51
did 50 / 130 patterns 7:51
did 60 / 130 patterns 7:51
did 70 / 130 patterns 7:51
did 80 / 130 patterns 7:51
did 90 / 130 patterns 7:51
did 100 / 130 patterns 7:51
did 110 / 130 patterns 7:51
did 120 / 130 patterns 7:51
did 130 / 130 patterns 7:51end of tree file.
Time used: 7:51
Model 7: beta
TREE # 1
(12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.071331 0.093295 0.021930 0.070482 0.063619 0.035357 0.107103 0.091465 0.084362 0.102854 0.026417 0.102707 0.083167 0.078430 0.088133 0.095646 0.064966 0.077338 0.078343 0.010545 0.018109 0.105245 0.090967 0.022183 0.047438 0.012034 0.011952 0.011381 0.079531 0.015041 0.012356 0.033307 0.082299 0.040162 0.080009 0.068494 0.016131 0.104268 0.094432 0.017513 0.108763 0.037367 0.024705 4.697512 0.852335 1.110644
ntime & nrate & np: 43 1 46
Bounds (np=46):
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 999.000000 99.000000 99.000000
Qfactor_NS = 4.530393
np = 46
lnL0 = -2309.116160
Iterating by ming2
Initial: fx= 2309.116160
x= 0.07133 0.09330 0.02193 0.07048 0.06362 0.03536 0.10710 0.09146 0.08436 0.10285 0.02642 0.10271 0.08317 0.07843 0.08813 0.09565 0.06497 0.07734 0.07834 0.01054 0.01811 0.10525 0.09097 0.02218 0.04744 0.01203 0.01195 0.01138 0.07953 0.01504 0.01236 0.03331 0.08230 0.04016 0.08001 0.06849 0.01613 0.10427 0.09443 0.01751 0.10876 0.03737 0.02471 4.69751 0.85233 1.11064
1 h-m-p 0.0000 0.0001 997.5656 ++ 2243.702148 m 0.0001 97 | 1/46
2 h-m-p 0.0000 0.0000 9304.3491 ++ 2219.814865 m 0.0000 192 | 2/46
3 h-m-p 0.0000 0.0000 158001.7465 ++ 2188.412696 m 0.0000 286 | 3/46
4 h-m-p 0.0000 0.0000 13970.6213 ++ 2179.127661 m 0.0000 379 | 4/46
5 h-m-p 0.0000 0.0000 21852.8910 ++ 2151.111218 m 0.0000 471 | 5/46
6 h-m-p 0.0000 0.0000 1767.8723 ++ 2124.234590 m 0.0000 562 | 6/46
7 h-m-p 0.0000 0.0000 5839.6060 ++ 2085.287273 m 0.0000 652 | 6/46
8 h-m-p 0.0000 0.0000 181381.3091 YCYCCC 2082.934986 5 0.0000 749 | 6/46
9 h-m-p 0.0000 0.0000 7050.1235 ++ 2043.838108 m 0.0000 838 | 6/46
10 h-m-p 0.0000 0.0000 21497.5347 +YYCYCCC 2030.618963 6 0.0000 937 | 6/46
11 h-m-p 0.0000 0.0000 5374.5169 ++ 2014.174308 m 0.0000 1026 | 7/46
12 h-m-p 0.0000 0.0000 27417.2212 ++ 2010.292360 m 0.0000 1115 | 8/46
13 h-m-p 0.0000 0.0000 12897.2874 ++ 2009.523381 m 0.0000 1203 | 9/46
14 h-m-p 0.0000 0.0000 31710.3745 ++ 2009.013751 m 0.0000 1290 | 10/46
15 h-m-p 0.0000 0.0000 2729.6258 ++ 2005.118390 m 0.0000 1376 | 11/46
16 h-m-p 0.0000 0.0000 2417.5585 ++ 1986.065652 m 0.0000 1461 | 12/46
17 h-m-p 0.0001 0.0003 209.7022 +YYYCCC 1979.824744 5 0.0002 1553 | 12/46
18 h-m-p 0.0000 0.0002 379.9974 +YYYCCC 1974.253852 5 0.0001 1644 | 12/46
19 h-m-p 0.0000 0.0001 879.4981 +YCYCCC 1969.457057 5 0.0000 1736 | 12/46
20 h-m-p 0.0000 0.0001 621.8716 +YYYCCC 1963.526536 5 0.0001 1827 | 12/46
21 h-m-p 0.0000 0.0000 1232.7627 +YYCCC 1960.870628 4 0.0000 1917 | 12/46
22 h-m-p 0.0000 0.0000 772.0714 +YYCYC 1959.287324 4 0.0000 2006 | 12/46
23 h-m-p 0.0000 0.0002 250.8982 +YCCCC 1957.317763 4 0.0001 2097 | 12/46
24 h-m-p 0.0000 0.0002 345.1764 YCYCCC 1955.413630 5 0.0001 2188 | 12/46
25 h-m-p 0.0000 0.0000 1392.9885 +YYYCYCCC 1951.654727 7 0.0000 2282 | 12/46
26 h-m-p 0.0000 0.0000 14145.9383 ++ 1943.091501 m 0.0000 2365 | 12/46
27 h-m-p -0.0000 -0.0000 383632.7031
h-m-p: -4.09449177e-24 -2.04724589e-23 3.83632703e+05 1943.091501
.. | 12/46
28 h-m-p 0.0000 0.0001 884795.2020 ----YYCCCCC 1938.722836 6 0.0000 2543 | 12/46
29 h-m-p 0.0000 0.0001 3199.7357 YYYCCC 1913.688017 5 0.0000 2633 | 12/46
30 h-m-p 0.0000 0.0001 569.9810 +YYYCCC 1904.875441 5 0.0001 2724 | 12/46
31 h-m-p 0.0000 0.0000 717.2611 +YCCCC 1902.962164 4 0.0000 2815 | 12/46
32 h-m-p 0.0000 0.0002 402.4119 +YYCC 1899.372667 3 0.0001 2903 | 12/46
33 h-m-p 0.0000 0.0001 432.8795 +YYCCC 1896.527690 4 0.0001 2993 | 12/46
34 h-m-p 0.0000 0.0001 554.6225 ++ 1892.877724 m 0.0001 3076 | 12/46
35 h-m-p -0.0000 -0.0000 2659.7695
h-m-p: -4.48544294e-22 -2.24272147e-21 2.65976951e+03 1892.877724
.. | 12/46
36 h-m-p 0.0000 0.0001 686.4933 YYCCC 1890.392193 4 0.0000 3245 | 12/46
37 h-m-p 0.0000 0.0001 320.5541 YCYCCC 1889.033247 5 0.0000 3336 | 12/46
38 h-m-p 0.0000 0.0002 277.8136 YCC 1887.783030 2 0.0001 3422 | 12/46
39 h-m-p 0.0000 0.0004 329.2197 +YCCC 1885.001092 3 0.0001 3511 | 12/46
40 h-m-p 0.0000 0.0002 667.9572 +YYCCC 1879.578074 4 0.0001 3601 | 12/46
41 h-m-p 0.0000 0.0000 5172.6256 YCCCCC 1875.466235 5 0.0000 3693 | 12/46
42 h-m-p 0.0000 0.0000 3311.9876 CYCCC 1871.405657 4 0.0000 3784 | 12/46
43 h-m-p 0.0000 0.0000 973.1200 CCCCC 1870.587187 4 0.0000 3875 | 12/46
44 h-m-p 0.0000 0.0002 112.3268 CCC 1870.534520 2 0.0000 3962 | 12/46
45 h-m-p 0.0000 0.0007 33.5309 CCC 1870.510591 2 0.0000 4049 | 12/46
46 h-m-p 0.0000 0.0005 41.5623 YC 1870.497126 1 0.0000 4133 | 12/46
47 h-m-p 0.0000 0.0004 56.9690 CC 1870.480603 1 0.0000 4218 | 12/46
48 h-m-p 0.0000 0.0007 66.5167 +YC 1870.443110 1 0.0001 4303 | 12/46
49 h-m-p 0.0000 0.0004 163.2082 YC 1870.353729 1 0.0001 4387 | 12/46
50 h-m-p 0.0000 0.0005 266.6053 CC 1870.219111 1 0.0001 4472 | 12/46
51 h-m-p 0.0000 0.0002 366.3725 CYC 1870.134518 2 0.0000 4558 | 12/46
52 h-m-p 0.0000 0.0002 529.2976 YC 1869.964392 1 0.0000 4642 | 12/46
53 h-m-p 0.0000 0.0002 427.1384 CCCC 1869.732540 3 0.0001 4731 | 12/46
54 h-m-p 0.0000 0.0004 1095.8438 YC 1869.220500 1 0.0001 4815 | 12/46
55 h-m-p 0.0000 0.0002 1331.8846 CCCC 1868.702430 3 0.0001 4904 | 12/46
56 h-m-p 0.0000 0.0001 2003.3415 YCCC 1868.206786 3 0.0000 4992 | 12/46
57 h-m-p 0.0000 0.0002 2005.8189 YCCC 1867.456078 3 0.0001 5080 | 12/46
58 h-m-p 0.0000 0.0001 2562.0588 CC 1866.940784 1 0.0000 5165 | 12/46
59 h-m-p 0.0001 0.0003 1443.3691 YCCC 1865.901897 3 0.0001 5253 | 12/46
60 h-m-p 0.0000 0.0001 1789.9977 YCCCC 1865.294647 4 0.0000 5343 | 12/46
61 h-m-p 0.0000 0.0002 1428.9617 CYCC 1864.888470 3 0.0000 5431 | 12/46
62 h-m-p 0.0001 0.0003 64.6177 CC 1864.879901 1 0.0000 5516 | 12/46
63 h-m-p 0.0001 0.0030 10.9561 C 1864.878503 0 0.0000 5599 | 12/46
64 h-m-p 0.0001 0.0035 3.2056 CC 1864.878246 1 0.0000 5684 | 12/46
65 h-m-p 0.0003 0.0554 0.4477 +C 1864.875328 0 0.0012 5768 | 12/46
66 h-m-p 0.0001 0.0196 6.2149 +++YYCCCC 1864.425612 5 0.0058 5862 | 12/46
67 h-m-p 0.0000 0.0003 764.7051 YCCC 1863.397584 3 0.0001 5950 | 12/46
68 h-m-p 0.0002 0.0011 25.9129 CC 1863.386067 1 0.0001 6035 | 12/46
69 h-m-p 0.0024 0.0474 0.6047 CC 1863.383730 1 0.0009 6120 | 12/46
70 h-m-p 0.0001 0.0578 4.0657 ++++YYCC 1862.425176 3 0.0266 6211 | 12/46
71 h-m-p 0.8419 4.2097 0.0527 CCC 1862.048002 2 1.1229 6298 | 12/46
72 h-m-p 1.6000 8.0000 0.0270 CYC 1861.900893 2 1.4505 6384 | 12/46
73 h-m-p 1.6000 8.0000 0.0170 YC 1861.863189 1 1.0439 6468 | 12/46
74 h-m-p 0.5670 8.0000 0.0313 YC 1861.829300 1 1.3977 6552 | 12/46
75 h-m-p 0.7947 8.0000 0.0551 +YCC 1861.788406 2 2.4429 6639 | 12/46
76 h-m-p 0.6198 8.0000 0.2172 +YCCCCC 1861.621425 5 2.9990 6732 | 12/46
77 h-m-p 0.4150 2.0748 0.7593 YCYCCCC 1861.500888 6 0.6191 6825 | 12/46
78 h-m-p 0.7236 3.6178 0.2059 YYYYYC 1861.374743 5 0.7103 6913 | 12/46
79 h-m-p 1.6000 8.0000 0.0452 YC 1861.352013 1 0.9144 6997 | 12/46
80 h-m-p 0.6499 8.0000 0.0636 C 1861.349181 0 0.6499 7080 | 12/46
81 h-m-p 1.1215 8.0000 0.0368 YC 1861.348005 1 0.8235 7164 | 12/46
82 h-m-p 1.6000 8.0000 0.0013 YC 1861.347693 1 1.2610 7248 | 12/46
83 h-m-p 1.6000 8.0000 0.0007 YC 1861.347468 1 2.6964 7332 | 12/46
84 h-m-p 1.6000 8.0000 0.0005 C 1861.347376 0 1.7058 7415 | 12/46
85 h-m-p 1.6000 8.0000 0.0001 Y 1861.347369 0 1.0418 7498 | 12/46
86 h-m-p 1.6000 8.0000 0.0001 Y 1861.347369 0 1.0709 7581 | 12/46
87 h-m-p 1.6000 8.0000 0.0000 Y 1861.347369 0 0.8417 7664 | 12/46
88 h-m-p 1.2337 8.0000 0.0000 ----Y 1861.347369 0 0.0012 7751
Out..
lnL = -1861.347369
7752 lfun, 85272 eigenQcodon, 3333360 P(t)
end of tree file.
Time used: 27:54
Model 8: beta&w>1
TREE # 1
(12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.017951 0.104979 0.095613 0.045942 0.069962 0.017300 0.032952 0.057520 0.044814 0.086458 0.020544 0.102813 0.086920 0.066525 0.022681 0.103061 0.056140 0.073782 0.070919 0.106924 0.055615 0.095727 0.070567 0.012713 0.088394 0.080834 0.038332 0.051859 0.041318 0.088770 0.107043 0.100794 0.069585 0.055746 0.108415 0.063444 0.030433 0.104685 0.019766 0.041506 0.089387 0.104918 0.035644 4.639841 0.900000 0.947135 1.874959 1.300000
ntime & nrate & np: 43 2 48
Bounds (np=48):
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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 4.592657
np = 48
lnL0 = -2299.115819
Iterating by ming2
Initial: fx= 2299.115819
x= 0.01795 0.10498 0.09561 0.04594 0.06996 0.01730 0.03295 0.05752 0.04481 0.08646 0.02054 0.10281 0.08692 0.06652 0.02268 0.10306 0.05614 0.07378 0.07092 0.10692 0.05562 0.09573 0.07057 0.01271 0.08839 0.08083 0.03833 0.05186 0.04132 0.08877 0.10704 0.10079 0.06958 0.05575 0.10842 0.06344 0.03043 0.10469 0.01977 0.04151 0.08939 0.10492 0.03564 4.63984 0.90000 0.94714 1.87496 1.30000
1 h-m-p 0.0000 0.0001 976.2906 ++ 2217.922133 m 0.0001 101 | 1/48
2 h-m-p 0.0000 0.0000 5827.3444 ++ 2204.157546 m 0.0000 200 | 2/48
3 h-m-p 0.0000 0.0000 71213.9882 ++ 2192.985293 m 0.0000 298 | 3/48
4 h-m-p 0.0000 0.0001 1629.0265 ++ 2139.144818 m 0.0001 395 | 3/48
5 h-m-p 0.0000 0.0000 35520.4259 ++ 2126.995160 m 0.0000 491 | 4/48
6 h-m-p 0.0000 0.0000 2099.8203 ++ 2081.928137 m 0.0000 587 | 5/48
7 h-m-p 0.0000 0.0000 2741.7991 ++ 2053.264160 m 0.0000 682 | 6/48
8 h-m-p 0.0000 0.0000 3354.2464 ++ 2048.757726 m 0.0000 776 | 7/48
9 h-m-p 0.0000 0.0000 6243.1156 ++ 1995.883916 m 0.0000 869 | 8/48
10 h-m-p 0.0000 0.0000 5149.9326 ++ 1987.626688 m 0.0000 961 | 9/48
11 h-m-p 0.0000 0.0000 4073.5267 ++ 1986.273144 m 0.0000 1052 | 10/48
12 h-m-p 0.0000 0.0000 2653.7541 ++ 1980.766319 m 0.0000 1142 | 11/48
13 h-m-p 0.0000 0.0000 1223.9586 ++ 1977.218901 m 0.0000 1231 | 12/48
14 h-m-p 0.0000 0.0001 201.4207 +YYYCCC 1975.375239 5 0.0001 1327 | 12/48
15 h-m-p 0.0000 0.0001 567.9796 +YYYYYYC 1969.829133 6 0.0001 1421 | 12/48
16 h-m-p 0.0000 0.0000 733.7998 +YYYCCC 1967.164781 5 0.0000 1516 | 12/48
17 h-m-p 0.0000 0.0000 953.5731 +YYYYC 1963.449693 4 0.0000 1608 | 12/48
18 h-m-p 0.0000 0.0000 822.3848 +YYYYCCCC 1959.663489 7 0.0000 1706 | 12/48
19 h-m-p 0.0000 0.0000 1605.4713 +YYYYCYCCC 1955.851322 8 0.0000 1805 | 12/48
20 h-m-p 0.0000 0.0000 2968.4092 +YYYCCC 1949.418657 5 0.0000 1900 | 12/48
21 h-m-p 0.0000 0.0000 1342.4928 +YYYYCC 1943.583279 5 0.0000 1994 | 12/48
22 h-m-p 0.0000 0.0000 4210.5236 YCCCC 1942.860767 4 0.0000 2088 | 12/48
23 h-m-p 0.0000 0.0001 488.7804 +YYYYC 1940.007001 4 0.0001 2180 | 12/48
24 h-m-p 0.0000 0.0000 1950.8818 +YYCCCC 1938.880745 5 0.0000 2276 | 12/48
25 h-m-p 0.0000 0.0001 1034.9783 +YYCCC 1935.587829 4 0.0000 2370 | 12/48
26 h-m-p 0.0000 0.0001 389.0243 +YCYCCC 1933.501416 5 0.0001 2466 | 12/48
27 h-m-p 0.0000 0.0001 657.5246 +YCCC 1929.499893 3 0.0001 2559 | 12/48
28 h-m-p 0.0000 0.0000 1637.4417 +YCYCCC 1927.602110 5 0.0000 2655 | 12/48
29 h-m-p 0.0000 0.0000 1509.5888 +YYYCCC 1925.363439 5 0.0000 2750 | 12/48
30 h-m-p 0.0000 0.0000 1329.4424 ++ 1923.489881 m 0.0000 2837 | 13/48
31 h-m-p 0.0000 0.0001 919.3065 +CYCCC 1920.179822 4 0.0001 2932 | 13/48
32 h-m-p 0.0000 0.0000 1137.2716 +YYYCCC 1918.272087 5 0.0000 3026 | 13/48
33 h-m-p 0.0000 0.0001 520.1484 +YYCCC 1916.199796 4 0.0001 3119 | 13/48
34 h-m-p 0.0000 0.0002 1995.9400 +YYYYYYC 1907.233019 6 0.0001 3212 | 13/48
35 h-m-p 0.0000 0.0002 578.8136 CCCCC 1905.880465 4 0.0001 3306 | 13/48
36 h-m-p 0.0001 0.0007 131.0633 YYC 1905.440873 2 0.0001 3394 | 12/48
37 h-m-p 0.0001 0.0011 161.2222 YCCC 1903.820059 3 0.0002 3485 | 12/48
38 h-m-p 0.0002 0.0012 51.8052 YCCC 1903.080348 3 0.0004 3577 | 12/48
39 h-m-p 0.0003 0.0018 81.5506 +YYCCC 1900.851979 4 0.0008 3671 | 12/48
40 h-m-p 0.0001 0.0003 279.4317 +YYCCC 1898.990041 4 0.0002 3765 | 12/48
41 h-m-p 0.0002 0.0011 140.9608 +CYCCC 1894.294783 4 0.0009 3860 | 12/48
42 h-m-p 0.0000 0.0001 401.3456 ++ 1893.340336 m 0.0001 3947 | 12/48
43 h-m-p -0.0000 -0.0000 181.7672
h-m-p: -0.00000000e+00 -0.00000000e+00 1.81767159e+02 1893.340336
.. | 12/48
44 h-m-p 0.0000 0.0001 275520.2150 --CYCCCYC 1882.801812 6 0.0000 4131 | 12/48
45 h-m-p 0.0000 0.0001 3351.1010 YYCYCCC 1876.178537 6 0.0000 4228 | 12/48
46 h-m-p 0.0000 0.0001 640.4757 +YCYC 1870.857238 3 0.0000 4320 | 12/48
47 h-m-p 0.0000 0.0000 316.6431 +YYCCCC 1869.721308 5 0.0000 4416 | 12/48
48 h-m-p 0.0000 0.0001 278.0738 CCCCC 1868.863792 4 0.0000 4511 | 12/48
49 h-m-p 0.0000 0.0002 259.9085 CCCC 1868.295621 3 0.0000 4604 | 12/48
50 h-m-p 0.0000 0.0002 285.2198 +YCC 1866.262288 2 0.0001 4695 | 12/48
51 h-m-p 0.0000 0.0000 688.9700 ++ 1865.463803 m 0.0000 4782 | 12/48
52 h-m-p 0.0000 0.0000 346.0865
h-m-p: 3.36285783e-21 1.68142892e-20 3.46086465e+02 1865.463803
.. | 12/48
53 h-m-p 0.0000 0.0001 263.0686 +YCCCC 1864.438315 4 0.0000 4961 | 12/48
54 h-m-p 0.0000 0.0001 174.6967 CCCC 1864.010762 3 0.0000 5054 | 12/48
55 h-m-p 0.0000 0.0003 163.4622 YCCC 1863.466233 3 0.0001 5146 | 12/48
56 h-m-p 0.0000 0.0002 285.5486 CCCC 1863.065279 3 0.0000 5239 | 12/48
57 h-m-p 0.0000 0.0002 206.9119 CCCC 1862.730112 3 0.0000 5332 | 12/48
58 h-m-p 0.0000 0.0002 276.1425 CYC 1862.480587 2 0.0000 5422 | 12/48
59 h-m-p 0.0000 0.0004 292.0439 +YCCC 1861.838682 3 0.0001 5515 | 12/48
60 h-m-p 0.0000 0.0002 208.2891 YC 1861.739487 1 0.0000 5603 | 12/48
61 h-m-p 0.0000 0.0004 130.3513 CCC 1861.608719 2 0.0001 5694 | 12/48
62 h-m-p 0.0001 0.0005 66.9127 YCC 1861.556705 2 0.0001 5784 | 12/48
63 h-m-p 0.0000 0.0002 60.6332 YC 1861.540574 1 0.0000 5872 | 12/48
64 h-m-p 0.0001 0.0007 26.2376 YC 1861.535359 1 0.0000 5960 | 12/48
65 h-m-p 0.0001 0.0007 10.4596 CC 1861.531705 1 0.0001 6049 | 12/48
66 h-m-p 0.0000 0.0002 22.8614 YC 1861.529860 1 0.0000 6137 | 12/48
67 h-m-p 0.0000 0.0003 14.2598 +YC 1861.525715 1 0.0001 6226 | 12/48
68 h-m-p 0.0000 0.0002 11.8398 +YC 1861.523665 1 0.0001 6315 | 12/48
69 h-m-p 0.0000 0.0000 19.3804 +CC 1861.522499 1 0.0000 6405 | 12/48
70 h-m-p 0.0000 0.0000 15.3268 ++ 1861.521848 m 0.0000 6492 | 13/48
71 h-m-p 0.0000 0.0023 10.6181 +YC 1861.520795 1 0.0001 6581 | 13/48
72 h-m-p 0.0001 0.0025 6.9585 C 1861.520544 0 0.0000 6667 | 13/48
73 h-m-p 0.0000 0.0067 7.7891 YC 1861.520091 1 0.0001 6754 | 13/48
74 h-m-p 0.0001 0.0187 3.6268 YC 1861.519819 1 0.0001 6841 | 13/48
75 h-m-p 0.0003 0.0091 1.2595 -C 1861.519801 0 0.0000 6928 | 13/48
76 h-m-p 0.0001 0.0336 1.1232 C 1861.519770 0 0.0001 7014 | 13/48
77 h-m-p 0.0001 0.0717 0.5262 C 1861.519723 0 0.0001 7100 | 13/48
78 h-m-p 0.0001 0.0066 1.5491 Y 1861.519677 0 0.0000 7186 | 13/48
79 h-m-p 0.0001 0.0330 1.3748 +C 1861.519199 0 0.0003 7273 | 13/48
80 h-m-p 0.0002 0.0048 2.0802 YC 1861.518714 1 0.0001 7360 | 13/48
81 h-m-p 0.0000 0.0122 12.0010 ++YC 1861.490203 1 0.0009 7449 | 13/48
82 h-m-p 0.0001 0.0018 148.3699 CCC 1861.451393 2 0.0001 7539 | 13/48
83 h-m-p 0.0001 0.0003 228.9196 CC 1861.439585 1 0.0000 7627 | 13/48
84 h-m-p 0.0003 0.0022 12.7750 -YC 1861.438454 1 0.0000 7715 | 13/48
85 h-m-p 0.0003 0.0030 1.8550 -Y 1861.438435 0 0.0000 7802 | 13/48
86 h-m-p 0.0012 0.5916 0.0578 Y 1861.438427 0 0.0009 7888 | 13/48
87 h-m-p 0.0036 1.8026 0.8292 ++YC 1861.432773 1 0.0381 7977 | 13/48
88 h-m-p 0.6871 8.0000 0.0460 +C 1861.429033 0 2.9513 8064 | 13/48
89 h-m-p 0.8991 8.0000 0.1510 +YYY 1861.409964 2 3.3547 8153 | 13/48
90 h-m-p 0.3582 1.7911 0.8261 YCCC 1861.405465 3 0.2000 8244 | 13/48
91 h-m-p 0.6668 5.0498 0.2478 CCC 1861.384463 2 0.9026 8334 | 13/48
92 h-m-p 0.5496 2.7481 0.0524 ++ 1861.353016 m 2.7481 8420 | 14/48
93 h-m-p 0.3240 8.0000 0.4436 YC 1861.350672 1 0.0546 8507 | 14/48
94 h-m-p 0.2569 8.0000 0.0942 YC 1861.347706 1 0.5447 8593 | 14/48
95 h-m-p 1.6000 8.0000 0.0117 YC 1861.347413 1 0.8215 8679 | 14/48
96 h-m-p 1.6000 8.0000 0.0005 Y 1861.347411 0 0.8758 8764 | 14/48
97 h-m-p 1.6000 8.0000 0.0000 Y 1861.347411 0 1.2251 8849 | 14/48
98 h-m-p 1.6000 8.0000 0.0000 -------Y 1861.347411 0 0.0000 8941
Out..
lnL = -1861.347411
8942 lfun, 107304 eigenQcodon, 4229566 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) = -1887.719034 S = -1826.577156 -82.130555
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 130 patterns 53:22
did 20 / 130 patterns 53:22
did 30 / 130 patterns 53:22
did 40 / 130 patterns 53:23
did 50 / 130 patterns 53:23
did 60 / 130 patterns 53:23
did 70 / 130 patterns 53:23
did 80 / 130 patterns 53:23
did 90 / 130 patterns 53:23
did 100 / 130 patterns 53:24
did 110 / 130 patterns 53:24
did 120 / 130 patterns 53:24
did 130 / 130 patterns 53:24end of tree file.
Time used: 53:24
The loglikelihoods for models M1, M2, M7 and M8 are -1861.658328 -1861.658328 -1861.347369 -1861.347411 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVESCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCTVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSVSDMTNPDYTNLLCR
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSVSDMTNPDYTNLLCR
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCR
**************.* ****************************.**************
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCILVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNPRTPKYTFGVVKPGETFTVLAAYNG
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 VTSSDFIVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYIFGVVKPGETFTVLAAYNG
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGDTFTVLAAYNG
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGDTFTVLAAYNG
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 VTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNG
****** ***************:**:*********.***** *******:**********
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGD
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 KPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGD
*******************************:****************************
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYILSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 FYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFS
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 FYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFS
**************:**** ****:**************:********************
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 QFKSDLVIDALASMTGVSLETILAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 QFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 QFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 QFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLASIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 QVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGI
*.*******************:**:***********************************
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 KLQ
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 KLQ
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 KLQ
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 KLQ
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 KLQ
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 KLQ
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 KLQ
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 KLQ
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 KLQ
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 KLQ
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 KLQ
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 KLQ
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 KLQ
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 KLQ
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 KLQ
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 KLQ
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 KLQ
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 KLQ
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 KLQ
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 KLQ
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 KLQ
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 KLQ
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 KLQ
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 KLQ
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 KLQ
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 KLQ
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 KLQ
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 KLQ
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 KLQ
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 KLQ
***
>OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 TCAGGTATTGTGAAAATGGTTAACCCTACTTCTAAGGTGGAACCATGTATTGTTAGCGTTACATATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCAAGACATGTTATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTATGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTACCAAATGCGGGGTTGTATGCTTGTGCTTACTGTGACCTTGCAAAATTCTCGTACACCAAAATATACATTTGGTGTTGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTTACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGGTCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTCTATATGCATCAATTGGAGCTTAGCACTGGTTGTCATACTGGTACCGACTTCAATGGGGATTTTTATGGTCCTTATAAAGATGCTCAGGTTGTTCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTCTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTATCCAATGGATTTAGCCAATTTAAGTCTGATCTTGTTATAGATGCTTTGGCTTCTATGACGGGTGTGTCATTGGAAACAATCTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGGCGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTCTATCAACAGCTTGCTGGTATCAAGTTACAA >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 TCAGGTATTGTGAAAATGGTTAACCCTACTTCTAAGGTGGAACCATGTGTTGTTAGTGTTACATATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCAAGACATGTTATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTATGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTACCAAATGCAGGGTTGTATGCTTGTGCTTACTGTGACCTTGCAAAATTCTCGTACACCAAAATATACATTTGGTGTTGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTTACTATGCGTAGTAGTTATACCATTAAGGGTTCTTTCTTATGTGGATCTTGTGGGTCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTTAATGGGGATTTTTATGGTCCTTACAAAGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTATCCAATGGATTTAGCCAATTTAAGTCTGATCTTGTTATAGATGCTTTGGCTTCTATGACGGGTGTGTCATTGGAAACACTCTTGGCCGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGGCGTCAGATTATGGGTAGTTGCTCTTTTGAGGACGAATTGACACCTAGCGATGTCTATCAACAGCTCGCTGGTATCAAGTTACAA >YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAATCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTACGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCGTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCCAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATTCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACCTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTGAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACATTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 TCAGGTATTGTGAAAATGGTTAACCCTACTTCTAAGGTGGAACCATGTGTTGTTAGTGTTACATATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCAAGACATGTTATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTATGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTACCAAATGCAGGGTTGTATGCTTGTGCTTACTGTGACCTTGCAAAATTCTCGTACACCAAAATATACATTTGGTGTTGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTTACTATGCGTAGTAGTTATACCATTAAGGGTTCTTTCTTATGTGGATCTTGTGGGTCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTTAATGGGGATTTTTATGGTCCTTACAAAGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTATCCAATGGATTTAGCCAATTTAAGTCTGATCTTGTTATAGATGCTTTGGCTTCTATGACGGGTGTGTCATTGGAAACACTCTTGGCCGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGGCGTCAGATTATGGGTAGTTGCTCTTTTGAGGACGAATTGACACCTAGCGATGTCTATCAACAGCTCGCTGGTATCAAGTTACAA >87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGTGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAACTCTCGTACGCCTAAATATACATTTGGTGTGGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACATTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACCTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTGAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATCCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTCGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACATTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTTCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCAGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGACGCTCAGGTTGTTCAATTGCCCATTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTACTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTACGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCGTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCCAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAAGTCTACTGTCCCAGACATGTAATATGTTCAGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTTAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 TCAGGTATTGTGAAAATGGTTAACCCTACTTCTAAGGTGGAACCATGTATTGTTAGTGTTACATATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCAAGACATGTTATATGTTCTGTTTCAGATATGACTAATCCAGATTATACAAATTTGTTATGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTACCAAATGCAGGGTTGTATGCTTGTGCTTACTGTGACCTTGCAAAATTCTCGTACACCAAAATATACATTTGGTGTTGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCTTTTCATGTTACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTCTTATGCGGATCTTGTGGGTCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGCACTGGTTGTCATACTGGTACTGACTTCAATGGAGATTTTTATGGTCCTTACAAAGATGCTCAGGTTGTTCAATTGCCCGTTCAGGATTATATACTATCTGTTAATTTTGTAGCATGGCTCTATGCTGCTATACTTAACAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTATCCAATGGATTTAGCCAATTTAAGTCTGATCTTGTTATAGATGCTTTGGCTTCTATGACGGGTGTGTCATTGGAAACACTCTTGGCCGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGGCGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTCTATCAACAGCTCGCTGGTATCAAGTTACAA >US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTATTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACATTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACCTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGTTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTGAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACATTATTGGCTGCCATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTGTGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 TCTGGTATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGCGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGCCCCAGACATGTTATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATATATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTTCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTCTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGATACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAGGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGACGTTTATCAACAACTCGCTGGTATCAAGTTACAA >HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 TCCGGTATTGTGAAAATGGTAAATCCTACTTCTAAGGTAGAACCATGTGTTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGACAAGGTCTACTGTCCCAGACATGTAATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCGGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAACCTGGTGATACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTAACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTAATAATGGGTGATTGTGTTAAATTTGTTTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGACTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTTCAGTTGCCCATTCAGGATTATATACAATCTGTTAATTTTTTAGCATGGCTTTATGCTGCTATACTTAACAATTGTAATTGGTTTATACAAAGTGATAAGTGTTCTGTAGAAGATTTTAATGTGTGGGCTCTGTCCAATGGATTTAGCCAAGTTAAATCTGACCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTGTTGGCTGCTATTAAGCGTCTTAAGAATGGTTTCCAAGGACGTCAGATTATGGGTAGTTGCTCTTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA >E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 TCTGGCATTGTGAAAATGGTTAATCCTACTTCTAAGGTAGAACCATGTATTGTCAGTGTTACCTATGGTAATATGACATTGAATGGTTTATGGTTGGATGATAAGGTCTACTGTCCCAGACATGTGATATGTTCTGCTTCAGATATGACTAATCCAGATTATACAAATTTGTTGTGTAGAGTAACATCAAGTGATTTTACTGTATTGTTTGATCGTTTAAGCCTTACAGTGATGTCTTATCAAATGCAGGGTTGTATGCTTGTTCTTACAGTGACCCTGCAAAATTCTCGTACGCCAAAATATACATTTGGTGTGGTTAAGCCTGGTGAGACTTTTACTGTTTTAGCTGCTTATAACGGCAAACCACAAGGAGCCTTTCATGTGACTATGCGTAGTAGTTATACCATTAAGGGTTCCTTTTTATGCGGATCTTGTGGATCTGTTGGTTATGTGCTAATGGGTGATTGTGTTAAATTTGTGTATATGCATCAATTGGAGCTTAGTACTGGTTGTCATACTGGTACTGATTTCAATGGGGATTTTTATGGTCCTTATAAGGATGCTCAGGTTGTCCAATTGCCCGTTCAGGATTATATACAATCTGTTAATTTTGTAGCATGGCTTTATGCTGCTATACTTAATAATTGTAATTGGTTTGTACAAAGTGATAAGTGTTCTGTTGAAGATTTTAATGTGTGGGCTTTGTCTAATGGGTTTAGCCAAGTTAAGTCTGATCTTGTTATAGATGCTTTAGCTTCTATGACTGGTGTGTCTTTGGAAACACTATTGGCTGCTATTAAGCGTCTCAAGAATGGTTTTCAAGGACGTCAGATTATGGGTAGTTGCTCCTTTGAGGATGAATTGACACCTAGCGATGTTTATCAACAACTCGCTGGTATCAAGTTACAA
>OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQFKSDLVIDALASMTGVSLETILAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVESCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCILVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNPRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCTVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSVSDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYILSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQFKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFIVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSVSDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYIFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLASIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGDTFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1 SGIVKMVNPTSKVEPCVVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMRGCMLVLTVTLQNSRTPKYTFGVVKPGDTFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVIMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPIQDYIQSVNFLAWLYAAILNNCNWFIQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ >E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1 SGIVKMVNPTSKVEPCIVSVTYGNMTLNGLWLDDKVYCPRHVICSASDMTNPDYTNLLCRVTSSDFTVLFDRLSLTVMSYQMQGCMLVLTVTLQNSRTPKYTFGVVKPGETFTVLAAYNGKPQGAFHVTMRSSYTIKGSFLCGSCGSVGYVLMGDCVKFVYMHQLELSTGCHTGTDFNGDFYGPYKDAQVVQLPVQDYIQSVNFVAWLYAAILNNCNWFVQSDKCSVEDFNVWALSNGFSQVKSDLVIDALASMTGVSLETLLAAIKRLKNGFQGRQIMGSCSFEDELTPSDVYQQLAGIKLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 909
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.7%
Found 69 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 6
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 63 polymorphic sites
**p-Value(s)**
----------
NSS: 7.84e-01 (1000 permutations)
Max Chi^2: 1.37e-01 (1000 permutations)
PHI (Permutation): 4.05e-01 (1000 permutations)
PHI (Normal): 3.64e-01
#NEXUS
[ID: 8630379750]
begin taxa;
dimensions ntax=30;
taxlabels
PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1
UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1
87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1
IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1
OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1
TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1
US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1
5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1
BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1
YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1
E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1
5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1
OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1
MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1
SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1
TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1
TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1
4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1
IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1
JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1
Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1
E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1
5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1
MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1
GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 PHEV_CoV_USA_15TOSU1582_nsp2_VIPR_ALG4_ARC95273_1_9944_10852_1_2015_07_25_USA_Swine_Betacoronavirus_1,
2 UNKNOWN_FJ425185_nsp2_VIPR_ALG4_215478110_9906_10814_1_1994_01_01_USA_Antelope_Betacoronavirus_1,
3 87309_Belgium_2003_nsp2_VIPR_ALG4_62530889_9949_10857_1_NA_Belgium_Unknown_Betacoronavirus_1,
4 IWT_18_nsp2_VIPR_ALG4_BBM61074_1_9925_10833_1_2016_12_Japan_Unknown_Betacoronavirus_1,
5 OC43_human_USA_873_6_1987_nsp2_VIPR_ALG4_530802456_9929_10837_1_1987_03_05_USA_Human_Betacoronavirus_1,
6 OC43_human_USA_9712_13_1997_nsp2_VIPR_ALG4_530802292_9929_10837_1_1997_12_11_USA_Human_Betacoronavirus_1,
7 TCG_27_nsp2_VIPR_ALG4_BBM61514_1_9922_10830_1_2017_12_Japan_Unknown_Betacoronavirus_1,
8 US_OH3_TC_2006_nsp2_VIPR_ALG4_145208979_9933_10841_1_NA_USA_Giraffe_Betacoronavirus_1,
9 5479_2007_nsp2_VIPR_ALG4_701216792_9948_10856_1_2007_06_China_Human_Betacoronavirus_1,
10 BCOV_China_SWUN_A10_2018_nsp2_VIPR_ALG4_QOV05174_1_9949_10857_1_2018_11_01_China_Cattle_Betacoronavirus_1,
11 YC_68_nsp2_VIPR_ALG4_AXX83360_1_9862_10770_1_2015_06_05_China_Unknown_Betacoronavirus_1,
12 E_AH65_nsp2_VIPR_ALG4_145208890_9949_10857_1_NA_USA_Cattle_Betacoronavirus_1,
13 5566_2007_nsp2_VIPR_ALG4_701216834_9948_10856_1_2007_06_China_Human_Betacoronavirus_1,
14 OC43_human_USA_911_38_1991_nsp2_VIPR_ALG4_530802555_9926_10834_1_1991_01_15_USA_Human_Betacoronavirus_1,
15 PHEV_CoV_swine_USA_15TOSU1655_2015_nsp2_VIPR_ALG4_ARC95241_1_9950_10858_1_2015_08_01_USA_Swine_Betacoronavirus_1,
16 PHEV_CoV_swine_USA_15TOSU25049_2015_nsp2_VIPR_ALG4_ARC95200_1_9910_10818_1_2015_09_15_USA_Swine_Betacoronavirus_1,
17 MY_U523_12_nsp2_VIPR_ALG4_AQN78693_1_9948_10856_1_2012_05_18_Malaysia_Human_Betacoronavirus_1,
18 SHG_3_nsp2_VIPR_ALG4_BBM61214_1_9925_10833_1_2014_12_Japan_Unknown_Betacoronavirus_1,
19 TCG_12_nsp2_VIPR_ALG4_BBM61324_1_9924_10832_1_2008_12_Japan_Unknown_Betacoronavirus_1,
20 TCG_8_nsp2_VIPR_ALG4_BBM61394_1_9922_10830_1_2008_01_Japan_Unknown_Betacoronavirus_1,
21 4_17_25_nsp2_VIPR_ALG4_AVZ61106_1_9949_10857_1_2017_04_USA_Cattle_Betacoronavirus_1,
22 IWT_3_nsp2_VIPR_ALG4_BBM60964_1_9925_10833_1_2011_06_Japan_Unknown_Betacoronavirus_1,
23 JL_2008_nsp2_VIPR_ALG4_AUF40271_1_9946_10854_1_2008_08_21_China_Swine_Betacoronavirus_1,
24 Kakegawa_nsp2_VIPR_ALG4_155369168_9949_10857_1_NA_Japan_Unknown_Betacoronavirus_1,
25 E_AH187_TC_nsp2_VIPR_ALG4_251748090_9933_10841_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
26 5345_2007_nsp2_VIPR_ALG4_701216659_9948_10856_1_2007_05_China_Human_Betacoronavirus_1,
27 MDS14_nsp2_VIPR_ALG4_QBP84746_1_9928_10836_1_NA_NA_Unknown_Betacoronavirus_1,
28 GZYF_26_nsp2_VIPR_ALG4_AXX83330_1_9873_10781_1_2015_05_21_China_Unknown_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0839_2019_nsp2_VIPR_ALG4_QEG03763_1_9945_10853_1_2019_USA_Human_Betacoronavirus_1,
30 HCoV_OC43_Seattle_USA_SC2481_2015_nsp2_VIPR_ALG4_ARU07564_1_9910_10818_1_2015_USA_Human_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:7.703134e-04,15:7.390206e-04,(((((2:1.801511e-03,(4:1.712534e-03,18:8.002391e-04)1.000:4.025026e-03,(7:3.946203e-03,20:7.049649e-04,22:2.918845e-03)1.000:5.092049e-03,((8:2.179563e-03,21:5.587951e-03)0.710:1.842736e-03,12:1.945132e-03)0.827:1.768234e-03,10:6.789823e-03,19:1.858535e-03,25:1.772758e-03)1.000:4.741110e-03,24:8.245385e-04)0.999:1.127266e-02,(((3:1.750310e-03,9:7.061709e-04,11:1.778707e-03,13:7.295345e-04,17:7.098450e-04,26:7.631212e-04,27:7.330031e-04,28:7.288828e-04,(29:1.879950e-03,30:2.919219e-03)0.923:1.833787e-03)0.720:1.789734e-03,6:2.943193e-03,14:7.821492e-04)0.997:4.121106e-03,5:4.009571e-03)1.000:1.359077e-02)1.000:4.234318e-02,16:9.012178e-03)0.555:3.871444e-03,23:6.539622e-03)0.999:8.547985e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:7.703134e-04,15:7.390206e-04,(((((2:1.801511e-03,(4:1.712534e-03,18:8.002391e-04):4.025026e-03,(7:3.946203e-03,20:7.049649e-04,22:2.918845e-03):5.092049e-03,((8:2.179563e-03,21:5.587951e-03):1.842736e-03,12:1.945132e-03):1.768234e-03,10:6.789823e-03,19:1.858535e-03,25:1.772758e-03):4.741110e-03,24:8.245385e-04):1.127266e-02,(((3:1.750310e-03,9:7.061709e-04,11:1.778707e-03,13:7.295345e-04,17:7.098450e-04,26:7.631212e-04,27:7.330031e-04,28:7.288828e-04,(29:1.879950e-03,30:2.919219e-03):1.833787e-03):1.789734e-03,6:2.943193e-03,14:7.821492e-04):4.121106e-03,5:4.009571e-03):1.359077e-02):4.234318e-02,16:9.012178e-03):3.871444e-03,23:6.539622e-03):8.547985e-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 -1979.93 -2009.16
2 -1979.34 -2008.06
--------------------------------------
TOTAL -1979.59 -2008.76
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.208105 0.000777 0.156734 0.266364 0.205888 1416.24 1430.59 1.002
r(A<->C){all} 0.062806 0.000795 0.012863 0.117896 0.059327 586.07 633.22 1.000
r(A<->G){all} 0.245263 0.002406 0.159051 0.346518 0.241560 584.62 603.22 1.000
r(A<->T){all} 0.048826 0.000286 0.019368 0.083297 0.046830 627.42 916.48 1.000
r(C<->G){all} 0.017885 0.000270 0.000008 0.049938 0.013168 734.94 780.58 1.000
r(C<->T){all} 0.541407 0.003342 0.422944 0.648202 0.543139 609.36 610.79 1.000
r(G<->T){all} 0.083813 0.000506 0.043931 0.129946 0.081692 828.83 882.33 1.001
pi(A){all} 0.253076 0.000190 0.228451 0.281707 0.252884 1150.68 1184.29 1.000
pi(C){all} 0.150485 0.000129 0.128504 0.173110 0.150194 996.03 1108.98 1.001
pi(G){all} 0.222474 0.000187 0.197237 0.249934 0.222357 1049.88 1065.30 1.001
pi(T){all} 0.373965 0.000241 0.345825 0.405475 0.373586 1092.15 1184.08 1.000
alpha{1,2} 0.091050 0.003018 0.000122 0.179526 0.090901 892.46 1044.23 1.002
alpha{3} 3.137800 1.952261 1.008626 5.968073 2.893633 1383.14 1442.07 1.000
pinvar{all} 0.568108 0.004894 0.437935 0.708250 0.572757 1294.12 1315.17 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_nsp2_VIPR_ALG4_QEY10630_1_9939_10847_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 = 303
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 13 14 14 13 14 13 | Ser TCT 13 11 12 12 13 12 | Tyr TAT 13 12 11 13 12 13 | Cys TGT 10 10 11 10 10 10
TTC 2 2 2 2 1 2 | TCC 2 2 1 3 2 3 | TAC 1 2 3 1 2 1 | TGC 2 2 1 2 2 2
Leu TTA 6 7 7 6 6 6 | TCA 2 4 4 3 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 11 11 10 11 10 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 8 8 7 8 | Pro CCT 4 4 4 4 3 4 | His CAT 4 4 4 4 4 4 | Arg CGT 5 5 5 5 5 5
CTC 1 1 2 1 2 1 | CCC 2 1 1 2 3 2 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 0 0 1 2 1 | CCA 4 5 5 3 4 4 | Gln CAA 11 11 11 11 12 11 | CGA 0 0 0 0 0 0
CTG 3 0 0 3 1 3 | CCG 0 0 0 0 0 0 | CAG 4 4 5 4 4 4 | CGG 1 1 0 1 0 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 4 5 5 5 | Thr ACT 10 9 10 10 10 10 | Asn AAT 13 12 12 13 14 13 | Ser AGT 7 5 7 7 7 7
ATC 1 2 1 1 1 1 | ACC 3 3 2 3 3 3 | AAC 2 3 3 2 1 2 | AGC 3 5 3 3 3 3
ATA 6 5 5 6 4 6 | ACA 8 9 9 8 8 8 | Lys AAA 6 5 5 6 5 6 | Arg AGA 2 2 2 2 2 2
Met ATG 11 11 11 11 11 11 | ACG 1 1 1 1 1 1 | AAG 8 9 9 8 9 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 16 17 14 14 14 | Ala GCT 12 12 11 12 11 12 | Asp GAT 14 16 15 14 17 14 | Gly GGT 16 16 16 16 16 16
GTC 2 3 3 2 3 2 | GCC 1 1 2 1 1 1 | GAC 3 1 2 3 0 3 | GGC 1 1 1 1 1 1
GTA 8 5 5 8 5 8 | GCA 1 1 1 1 1 1 | Glu GAA 4 4 4 4 4 4 | GGA 5 3 3 5 4 5
GTG 6 7 7 6 10 6 | GCG 0 0 0 0 1 0 | GAG 3 3 3 3 3 3 | GGG 1 3 3 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 13 13 14 14 14 | Ser TCT 13 12 12 13 13 12 | Tyr TAT 13 13 13 13 13 11 | Cys TGT 10 10 10 10 10 11
TTC 1 2 2 1 1 2 | TCC 2 3 3 2 2 1 | TAC 1 1 1 1 1 3 | TGC 2 2 2 2 2 1
Leu TTA 6 6 6 6 6 7 | TCA 2 2 2 2 2 4 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 10 10 12 11 11 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 7 8 8 7 7 8 | Pro CCT 4 4 4 4 4 4 | His CAT 4 4 4 4 4 4 | Arg CGT 5 5 5 5 5 5
CTC 2 1 1 2 2 2 | CCC 2 2 2 2 2 1 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 2 1 1 1 2 0 | CCA 4 4 4 4 4 5 | Gln CAA 12 11 11 12 12 11 | CGA 0 0 0 0 0 0
CTG 1 3 3 1 1 0 | CCG 0 0 0 0 0 0 | CAG 4 4 4 4 4 5 | CGG 0 1 1 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 5 5 5 5 4 | Thr ACT 10 10 10 9 10 10 | Asn AAT 14 13 13 14 13 12 | Ser AGT 7 7 7 7 7 7
ATC 1 1 1 1 1 1 | ACC 3 3 3 4 3 2 | AAC 1 2 2 1 2 3 | AGC 3 3 3 3 3 3
ATA 4 6 6 4 4 5 | ACA 8 8 8 8 8 9 | Lys AAA 5 6 6 5 5 5 | Arg AGA 2 2 2 2 2 2
Met ATG 10 11 11 11 11 11 | ACG 1 1 1 1 1 1 | AAG 9 8 8 9 9 9 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 14 14 15 14 17 | Ala GCT 12 12 12 12 12 11 | Asp GAT 17 14 14 17 17 15 | Gly GGT 16 16 16 16 16 16
GTC 3 2 2 3 3 3 | GCC 1 1 1 1 1 2 | GAC 0 3 3 0 0 2 | GGC 1 1 1 1 1 1
GTA 5 8 8 5 5 5 | GCA 1 1 1 1 1 1 | Glu GAA 4 4 4 4 4 4 | GGA 4 5 5 4 4 3
GTG 10 6 6 9 10 7 | GCG 0 0 0 0 0 0 | GAG 3 3 3 3 3 3 | GGG 2 1 1 2 2 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 13 14 13 13 14 13 | Ser TCT 12 13 12 13 13 12 | Tyr TAT 13 13 13 13 12 13 | Cys TGT 11 10 10 10 10 10
TTC 2 1 2 2 1 2 | TCC 3 2 2 2 2 2 | TAC 1 1 1 1 2 1 | TGC 1 2 2 2 2 2
Leu TTA 6 6 6 5 6 6 | TCA 2 2 2 2 2 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 11 12 10 11 10 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 7 7 9 7 8 | Pro CCT 4 5 5 3 3 4 | His CAT 4 4 4 4 4 4 | Arg CGT 5 5 5 5 5 5
CTC 1 2 2 1 2 1 | CCC 2 2 2 2 3 2 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 2 1 1 2 1 | CCA 4 3 4 5 4 4 | Gln CAA 11 12 12 12 12 11 | CGA 0 0 0 0 0 0
CTG 3 1 1 2 1 3 | CCG 0 0 0 0 0 0 | CAG 4 4 4 3 4 4 | CGG 1 0 0 1 0 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 4 5 | Thr ACT 10 10 9 10 11 10 | Asn AAT 13 13 14 13 14 13 | Ser AGT 7 7 7 7 7 7
ATC 1 1 1 1 1 1 | ACC 3 3 4 3 3 3 | AAC 2 2 1 2 1 2 | AGC 3 3 3 3 3 3
ATA 6 4 4 5 4 6 | ACA 8 8 8 8 8 8 | Lys AAA 6 4 5 6 5 7 | Arg AGA 2 2 2 2 2 2
Met ATG 11 11 11 11 11 11 | ACG 1 1 1 1 1 1 | AAG 8 10 9 8 9 7 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 15 15 14 14 14 | Ala GCT 12 12 12 12 11 12 | Asp GAT 14 17 17 13 17 14 | Gly GGT 16 16 16 16 16 16
GTC 2 2 3 2 3 2 | GCC 1 1 1 1 1 1 | GAC 3 0 0 4 0 3 | GGC 1 1 1 1 1 1
GTA 8 5 5 10 5 8 | GCA 1 1 1 1 1 1 | Glu GAA 4 4 4 4 4 4 | GGA 5 4 4 5 4 5
GTG 6 10 9 6 10 6 | GCG 0 0 0 0 1 0 | GAG 3 3 3 3 3 3 | GGG 1 2 2 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 13 14 14 13 13 | Ser TCT 13 11 13 14 12 12 | Tyr TAT 13 11 13 13 13 13 | Cys TGT 10 10 10 10 10 10
TTC 1 3 1 1 2 2 | TCC 2 2 2 1 3 3 | TAC 1 3 1 1 1 1 | TGC 2 2 2 2 2 2
Leu TTA 5 7 7 6 6 6 | TCA 2 4 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 11 11 12 10 10 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 7 7 7 8 8 | Pro CCT 4 4 4 4 4 4 | His CAT 4 4 4 4 4 4 | Arg CGT 5 5 5 5 5 5
CTC 1 3 2 2 1 1 | CCC 2 1 2 2 2 2 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 2 1 1 1 1 1 | CCA 4 5 4 4 4 4 | Gln CAA 12 10 12 12 11 11 | CGA 0 0 0 0 0 0
CTG 1 0 1 1 3 3 | CCG 0 0 0 0 0 0 | CAG 4 5 4 4 4 4 | CGG 0 0 0 0 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 6 5 5 5 | Thr ACT 10 10 9 9 10 10 | Asn AAT 14 12 14 14 13 13 | Ser AGT 7 6 7 7 7 7
ATC 1 1 1 1 1 1 | ACC 3 2 3 4 3 3 | AAC 1 3 1 1 2 2 | AGC 3 4 3 3 3 3
ATA 5 5 4 4 6 6 | ACA 8 9 8 8 8 8 | Lys AAA 5 5 4 5 6 6 | Arg AGA 2 2 2 2 2 2
Met ATG 11 11 11 11 11 11 | ACG 1 1 1 1 1 1 | AAG 9 9 10 9 8 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 17 14 16 14 14 | Ala GCT 12 11 12 10 12 12 | Asp GAT 17 16 17 17 14 14 | Gly GGT 16 16 16 16 16 16
GTC 3 2 3 3 2 2 | GCC 1 1 1 2 1 1 | GAC 0 1 0 0 3 3 | GGC 1 1 1 1 1 1
GTA 6 5 5 5 8 8 | GCA 1 1 1 1 1 1 | Glu GAA 4 4 4 4 4 4 | GGA 4 4 4 4 5 5
GTG 9 8 10 9 6 6 | GCG 0 0 0 0 0 0 | GAG 3 3 3 3 3 3 | GGG 2 2 2 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 14 13 13 13 14 | Ser TCT 13 14 12 12 12 13 | Tyr TAT 13 13 13 13 13 13 | Cys TGT 10 9 10 10 10 10
TTC 1 1 2 2 2 1 | TCC 2 2 3 3 3 2 | TAC 1 1 1 1 1 1 | TGC 2 3 2 2 2 2
Leu TTA 5 5 6 6 7 6 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 12 11 10 10 10 11 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 7 7 8 8 8 7 | Pro CCT 4 4 4 4 4 4 | His CAT 4 4 4 4 4 4 | Arg CGT 5 5 5 5 5 5
CTC 2 2 1 1 1 2 | CCC 2 2 2 2 2 2 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 2 3 1 1 0 2 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 11 10 11 12 | CGA 0 0 0 0 0 0
CTG 1 1 3 3 3 1 | CCG 0 0 0 0 0 0 | CAG 4 4 4 5 4 4 | CGG 0 0 1 1 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 5 5 | Thr ACT 10 10 10 10 10 10 | Asn AAT 14 14 13 13 13 14 | Ser AGT 7 6 7 7 7 7
ATC 1 1 1 1 1 1 | ACC 3 3 3 3 3 3 | AAC 1 1 2 2 2 1 | AGC 3 4 3 3 3 3
ATA 4 5 6 6 6 4 | ACA 8 7 8 8 8 8 | Lys AAA 5 5 6 6 6 4 | Arg AGA 2 2 2 2 2 2
Met ATG 11 11 11 11 11 11 | ACG 1 1 1 1 1 1 | AAG 9 9 8 8 8 10 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 15 14 14 14 14 | Ala GCT 12 11 12 12 12 12 | Asp GAT 17 17 14 14 15 17 | Gly GGT 16 16 16 16 16 15
GTC 3 3 2 2 2 3 | GCC 1 1 1 1 1 1 | GAC 0 0 3 4 3 0 | GGC 1 1 1 1 1 2
GTA 5 5 8 8 8 5 | GCA 1 1 1 1 1 1 | Glu GAA 4 4 4 4 4 4 | GGA 4 4 5 5 5 4
GTG 10 9 6 6 6 10 | GCG 0 0 0 0 0 0 | GAG 3 3 3 2 2 3 | GGG 2 2 1 1 1 2
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C182
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.53135 C:0.08581 A:0.21122 G:0.17162
Average T:0.36964 C:0.15072 A:0.25963 G:0.22002
#2: C217
position 1: T:0.26733 C:0.14521 A:0.28383 G:0.30363
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52475 C:0.09571 A:0.20132 G:0.17822
Average T:0.37074 C:0.14961 A:0.25633 G:0.22332
#3: C213
position 1: T:0.26733 C:0.14851 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.53135 C:0.08911 A:0.20132 G:0.17822
Average T:0.37294 C:0.14851 A:0.25523 G:0.22332
#4: C287
position 1: T:0.26073 C:0.15512 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36964 C:0.15072 A:0.25963 G:0.22002
#5: C223
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.53465 C:0.08251 A:0.19472 G:0.18812
Average T:0.37184 C:0.14851 A:0.25303 G:0.22662
#6: C151
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#7: C230
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54785 C:0.07591 A:0.19472 G:0.18152
Average T:0.37624 C:0.14631 A:0.25303 G:0.22442
#8: C44
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#9: C77
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#10: C258
position 1: T:0.26403 C:0.15182 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54455 C:0.07921 A:0.19142 G:0.18482
Average T:0.37624 C:0.14631 A:0.25193 G:0.22552
#11: C270
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54125 C:0.07921 A:0.19472 G:0.18482
Average T:0.37404 C:0.14741 A:0.25303 G:0.22552
#12: C208
position 1: T:0.26733 C:0.14851 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.53135 C:0.08911 A:0.20132 G:0.17822
Average T:0.37294 C:0.14851 A:0.25523 G:0.22332
#13: C50
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.53135 C:0.08581 A:0.21122 G:0.17162
Average T:0.36964 C:0.15072 A:0.25963 G:0.22002
#14: C30
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54785 C:0.07591 A:0.18812 G:0.18812
Average T:0.37624 C:0.14631 A:0.25083 G:0.22662
#15: C122
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54125 C:0.08251 A:0.19142 G:0.18482
Average T:0.37404 C:0.14851 A:0.25193 G:0.22552
#16: C174
position 1: T:0.25413 C:0.15842 A:0.28053 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21782 G:0.16502
Average T:0.36744 C:0.15182 A:0.26073 G:0.22002
#17: C112
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.31683 C:0.21122 A:0.28713 G:0.18482
position 3: T:0.53465 C:0.08251 A:0.19472 G:0.18812
Average T:0.37074 C:0.14961 A:0.25303 G:0.22662
#18: C199
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08581 A:0.21782 G:0.16832
Average T:0.36854 C:0.15072 A:0.26183 G:0.21892
#19: C131
position 1: T:0.25743 C:0.15512 A:0.28053 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54785 C:0.07261 A:0.19802 G:0.18152
Average T:0.37514 C:0.14521 A:0.25523 G:0.22442
#20: C130
position 1: T:0.26733 C:0.14851 A:0.28053 G:0.30363
position 2: T:0.32673 C:0.20462 A:0.28383 G:0.18482
position 3: T:0.52145 C:0.09571 A:0.20462 G:0.17822
Average T:0.37184 C:0.14961 A:0.25633 G:0.22222
#21: C280
position 1: T:0.26403 C:0.15182 A:0.27723 G:0.30693
position 2: T:0.32343 C:0.20462 A:0.28713 G:0.18482
position 3: T:0.54455 C:0.07591 A:0.19142 G:0.18812
Average T:0.37734 C:0.14411 A:0.25193 G:0.22662
#22: C246
position 1: T:0.26403 C:0.15182 A:0.27723 G:0.30693
position 2: T:0.32343 C:0.20462 A:0.28713 G:0.18482
position 3: T:0.54455 C:0.07921 A:0.19142 G:0.18482
Average T:0.37734 C:0.14521 A:0.25193 G:0.22552
#23: C31
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#24: C136
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#25: C72
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54455 C:0.07591 A:0.19142 G:0.18812
Average T:0.37514 C:0.14631 A:0.25193 G:0.22662
#26: C53
position 1: T:0.26073 C:0.15842 A:0.27723 G:0.30363
position 2: T:0.32343 C:0.20462 A:0.28713 G:0.18482
position 3: T:0.54125 C:0.08251 A:0.19472 G:0.18152
Average T:0.37514 C:0.14851 A:0.25303 G:0.22332
#27: C38
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.08911 A:0.21122 G:0.17162
Average T:0.36854 C:0.15182 A:0.25963 G:0.22002
#28: C84
position 1: T:0.25743 C:0.15842 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.52805 C:0.09241 A:0.20792 G:0.17162
Average T:0.36854 C:0.15292 A:0.25853 G:0.22002
#29: C79
position 1: T:0.26073 C:0.15512 A:0.28383 G:0.30033
position 2: T:0.32013 C:0.20792 A:0.28383 G:0.18812
position 3: T:0.53135 C:0.08911 A:0.21122 G:0.16832
Average T:0.37074 C:0.15072 A:0.25963 G:0.21892
#30: C73
position 1: T:0.26073 C:0.15512 A:0.27723 G:0.30693
position 2: T:0.32013 C:0.20792 A:0.28713 G:0.18482
position 3: T:0.54125 C:0.07921 A:0.19142 G:0.18812
Average T:0.37404 C:0.14741 A:0.25193 G:0.22662
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 405 | Ser S TCT 374 | Tyr Y TAT 381 | Cys C TGT 302
TTC 49 | TCC 67 | TAC 39 | TGC 58
Leu L TTA 182 | TCA 70 | *** * TAA 0 | *** * TGA 0
TTG 321 | TCG 0 | TAG 0 | Trp W TGG 120
------------------------------------------------------------------------------
Leu L CTT 228 | Pro P CCT 119 | His H CAT 120 | Arg R CGT 150
CTC 46 | CCC 58 | CAC 0 | CGC 0
CTA 36 | CCA 123 | Gln Q CAA 342 | CGA 0
CTG 51 | CCG 0 | CAG 123 | CGG 14
------------------------------------------------------------------------------
Ile I ATT 149 | Thr T ACT 296 | Asn N AAT 397 | Ser S AGT 206
ATC 31 | ACC 90 | AAC 53 | AGC 94
ATA 151 | ACA 243 | Lys K AAA 161 | Arg R AGA 60
Met M ATG 329 | ACG 30 | AAG 259 | AGG 0
------------------------------------------------------------------------------
Val V GTT 437 | Ala A GCT 352 | Asp D GAT 465 | Gly G GGT 479
GTC 75 | GCC 33 | GAC 47 | GGC 31
GTA 192 | GCA 30 | Glu E GAA 120 | GGA 130
GTG 232 | GCG 2 | GAG 88 | GGG 50
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.26051 C:0.15512 A:0.28042 G:0.30396
position 2: T:0.32057 C:0.20759 A:0.28548 G:0.18636
position 3: T:0.53465 C:0.08482 A:0.20242 G:0.17811
Average T:0.37191 C:0.14917 A:0.25611 G:0.22281
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
lnL(ntime: 43 np: 46): -1861.658328 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..17 37..5 36..38 38..22 38..10 38..15 36..39 39..40 40..21 40..14 39..30 36..26 36..7 36..25 35..19 34..41 41..42 42..43 43..13 43..27 43..4 43..8 43..6 43..23 43..24 43..9 43..44 44..29 44..28 42..18 42..1 41..16 33..2 32..20
0.000004 0.000004 0.030069 0.007907 0.133545 0.036156 0.014497 0.003560 0.010745 0.003539 0.000004 0.014454 0.010764 0.000004 0.007131 0.003591 0.003570 0.003622 0.014492 0.003558 0.021782 0.003573 0.003572 0.000004 0.040356 0.010972 0.003494 0.003492 0.000004 0.003484 0.000004 0.000004 0.000004 0.000004 0.000004 0.003518 0.003489 0.006949 0.007030 0.000004 0.010295 0.024263 0.016958 4.697518 0.971024 0.019654
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.464475
(12: 0.000004, 3: 0.000004, (((((11: 0.003560, (17: 0.003539, 5: 0.000004): 0.010745, (22: 0.010764, 10: 0.000004, 15: 0.007131): 0.014454, ((21: 0.003622, 14: 0.014492): 0.003570, 30: 0.003558): 0.003591, 26: 0.021782, 7: 0.003573, 25: 0.003572): 0.014497, 19: 0.000004): 0.036156, (((13: 0.003492, 27: 0.000004, 4: 0.003484, 8: 0.000004, 6: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, (29: 0.003489, 28: 0.006949): 0.003518): 0.003494, 18: 0.007030, 1: 0.000004): 0.010972, 16: 0.010295): 0.040356): 0.133545, 2: 0.024263): 0.007907, 20: 0.016958): 0.030069);
(C208: 0.000004, C213: 0.000004, (((((C270: 0.003560, (C112: 0.003539, C223: 0.000004): 0.010745, (C246: 0.010764, C258: 0.000004, C122: 0.007131): 0.014454, ((C280: 0.003622, C30: 0.014492): 0.003570, C73: 0.003558): 0.003591, C53: 0.021782, C230: 0.003573, C72: 0.003572): 0.014497, C131: 0.000004): 0.036156, (((C50: 0.003492, C38: 0.000004, C287: 0.003484, C44: 0.000004, C151: 0.000004, C31: 0.000004, C136: 0.000004, C77: 0.000004, (C79: 0.003489, C84: 0.006949): 0.003518): 0.003494, C199: 0.007030, C182: 0.000004): 0.010972, C174: 0.010295): 0.040356): 0.133545, C217: 0.024263): 0.007907, C130: 0.016958): 0.030069);
Detailed output identifying parameters
kappa (ts/tv) = 4.69752
MLEs of dN/dS (w) for site classes (K=2)
p: 0.97102 0.02898
w: 0.01965 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
31..3 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
31..32 0.030 755.2 153.8 0.0481 0.0023 0.0479 1.7 7.4
32..33 0.008 755.2 153.8 0.0481 0.0006 0.0126 0.5 1.9
33..34 0.134 755.2 153.8 0.0481 0.0102 0.2128 7.7 32.7
34..35 0.036 755.2 153.8 0.0481 0.0028 0.0576 2.1 8.9
35..36 0.014 755.2 153.8 0.0481 0.0011 0.0231 0.8 3.6
36..11 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..37 0.011 755.2 153.8 0.0481 0.0008 0.0171 0.6 2.6
37..17 0.004 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
37..5 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
36..38 0.014 755.2 153.8 0.0481 0.0011 0.0230 0.8 3.5
38..22 0.011 755.2 153.8 0.0481 0.0008 0.0172 0.6 2.6
38..10 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
38..15 0.007 755.2 153.8 0.0481 0.0005 0.0114 0.4 1.7
36..39 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
39..40 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
40..21 0.004 755.2 153.8 0.0481 0.0003 0.0058 0.2 0.9
40..14 0.014 755.2 153.8 0.0481 0.0011 0.0231 0.8 3.6
39..30 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..26 0.022 755.2 153.8 0.0481 0.0017 0.0347 1.3 5.3
36..7 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..25 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
35..19 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
34..41 0.040 755.2 153.8 0.0481 0.0031 0.0643 2.3 9.9
41..42 0.011 755.2 153.8 0.0481 0.0008 0.0175 0.6 2.7
42..43 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..13 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..27 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..4 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..8 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..6 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..23 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..24 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..9 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..44 0.004 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
44..29 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
44..28 0.007 755.2 153.8 0.0481 0.0005 0.0111 0.4 1.7
42..18 0.007 755.2 153.8 0.0481 0.0005 0.0112 0.4 1.7
42..1 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
41..16 0.010 755.2 153.8 0.0481 0.0008 0.0164 0.6 2.5
33..2 0.024 755.2 153.8 0.0481 0.0019 0.0387 1.4 5.9
32..20 0.017 755.2 153.8 0.0481 0.0013 0.0270 1.0 4.2
Time used: 3:12
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
check convergence..
lnL(ntime: 43 np: 48): -1861.658328 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..17 37..5 36..38 38..22 38..10 38..15 36..39 39..40 40..21 40..14 39..30 36..26 36..7 36..25 35..19 34..41 41..42 42..43 43..13 43..27 43..4 43..8 43..6 43..23 43..24 43..9 43..44 44..29 44..28 42..18 42..1 41..16 33..2 32..20
0.000004 0.000004 0.030069 0.007907 0.133546 0.036156 0.014497 0.003560 0.010745 0.003539 0.000004 0.014454 0.010764 0.000004 0.007131 0.003591 0.003570 0.003622 0.014492 0.003558 0.021782 0.003573 0.003572 0.000004 0.040357 0.010972 0.003494 0.003492 0.000004 0.003484 0.000004 0.000004 0.000004 0.000004 0.000004 0.003518 0.003489 0.006948 0.007030 0.000004 0.010295 0.024263 0.016958 4.697512 0.971024 0.013140 0.019654 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.464475
(12: 0.000004, 3: 0.000004, (((((11: 0.003560, (17: 0.003539, 5: 0.000004): 0.010745, (22: 0.010764, 10: 0.000004, 15: 0.007131): 0.014454, ((21: 0.003622, 14: 0.014492): 0.003570, 30: 0.003558): 0.003591, 26: 0.021782, 7: 0.003573, 25: 0.003572): 0.014497, 19: 0.000004): 0.036156, (((13: 0.003492, 27: 0.000004, 4: 0.003484, 8: 0.000004, 6: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, (29: 0.003489, 28: 0.006948): 0.003518): 0.003494, 18: 0.007030, 1: 0.000004): 0.010972, 16: 0.010295): 0.040357): 0.133546, 2: 0.024263): 0.007907, 20: 0.016958): 0.030069);
(C208: 0.000004, C213: 0.000004, (((((C270: 0.003560, (C112: 0.003539, C223: 0.000004): 0.010745, (C246: 0.010764, C258: 0.000004, C122: 0.007131): 0.014454, ((C280: 0.003622, C30: 0.014492): 0.003570, C73: 0.003558): 0.003591, C53: 0.021782, C230: 0.003573, C72: 0.003572): 0.014497, C131: 0.000004): 0.036156, (((C50: 0.003492, C38: 0.000004, C287: 0.003484, C44: 0.000004, C151: 0.000004, C31: 0.000004, C136: 0.000004, C77: 0.000004, (C79: 0.003489, C84: 0.006948): 0.003518): 0.003494, C199: 0.007030, C182: 0.000004): 0.010972, C174: 0.010295): 0.040357): 0.133546, C217: 0.024263): 0.007907, C130: 0.016958): 0.030069);
Detailed output identifying parameters
kappa (ts/tv) = 4.69751
MLEs of dN/dS (w) for site classes (K=3)
p: 0.97102 0.01314 0.01584
w: 0.01965 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
31..3 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
31..32 0.030 755.2 153.8 0.0481 0.0023 0.0479 1.7 7.4
32..33 0.008 755.2 153.8 0.0481 0.0006 0.0126 0.5 1.9
33..34 0.134 755.2 153.8 0.0481 0.0102 0.2128 7.7 32.7
34..35 0.036 755.2 153.8 0.0481 0.0028 0.0576 2.1 8.9
35..36 0.014 755.2 153.8 0.0481 0.0011 0.0231 0.8 3.6
36..11 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..37 0.011 755.2 153.8 0.0481 0.0008 0.0171 0.6 2.6
37..17 0.004 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
37..5 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
36..38 0.014 755.2 153.8 0.0481 0.0011 0.0230 0.8 3.5
38..22 0.011 755.2 153.8 0.0481 0.0008 0.0172 0.6 2.6
38..10 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
38..15 0.007 755.2 153.8 0.0481 0.0005 0.0114 0.4 1.7
36..39 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
39..40 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
40..21 0.004 755.2 153.8 0.0481 0.0003 0.0058 0.2 0.9
40..14 0.014 755.2 153.8 0.0481 0.0011 0.0231 0.8 3.6
39..30 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..26 0.022 755.2 153.8 0.0481 0.0017 0.0347 1.3 5.3
36..7 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
36..25 0.004 755.2 153.8 0.0481 0.0003 0.0057 0.2 0.9
35..19 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
34..41 0.040 755.2 153.8 0.0481 0.0031 0.0643 2.3 9.9
41..42 0.011 755.2 153.8 0.0481 0.0008 0.0175 0.6 2.7
42..43 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..13 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..27 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..4 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
43..8 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..6 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..23 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..24 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..9 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
43..44 0.004 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
44..29 0.003 755.2 153.8 0.0481 0.0003 0.0056 0.2 0.9
44..28 0.007 755.2 153.8 0.0481 0.0005 0.0111 0.4 1.7
42..18 0.007 755.2 153.8 0.0481 0.0005 0.0112 0.4 1.7
42..1 0.000 755.2 153.8 0.0481 0.0000 0.0000 0.0 0.0
41..16 0.010 755.2 153.8 0.0481 0.0008 0.0164 0.6 2.5
33..2 0.024 755.2 153.8 0.0481 0.0019 0.0387 1.4 5.9
32..20 0.017 755.2 153.8 0.0481 0.0013 0.0270 1.0 4.2
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: C182)
Pr(w>1) post mean +- SE for w
83 R 0.656 1.930 +- 1.613
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: 0.661 0.153 0.063 0.036 0.025 0.019 0.014 0.011 0.009 0.008
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: 7:51
Model 7: beta (10 categories)
TREE # 1: (12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
lnL(ntime: 43 np: 46): -1861.347369 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..17 37..5 36..38 38..22 38..10 38..15 36..39 39..40 40..21 40..14 39..30 36..26 36..7 36..25 35..19 34..41 41..42 42..43 43..13 43..27 43..4 43..8 43..6 43..23 43..24 43..9 43..44 44..29 44..28 42..18 42..1 41..16 33..2 32..20
0.000004 0.000004 0.029974 0.007647 0.132243 0.035263 0.014456 0.003551 0.010715 0.003527 0.000004 0.014414 0.010758 0.000004 0.007117 0.003582 0.003579 0.003598 0.014473 0.003549 0.021742 0.003563 0.003563 0.000004 0.040967 0.010936 0.003482 0.003481 0.000004 0.003472 0.000004 0.000004 0.000004 0.000004 0.000004 0.003507 0.003478 0.006923 0.007005 0.000004 0.010234 0.024261 0.016858 4.639841 0.049950 0.933938
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.461964
(12: 0.000004, 3: 0.000004, (((((11: 0.003551, (17: 0.003527, 5: 0.000004): 0.010715, (22: 0.010758, 10: 0.000004, 15: 0.007117): 0.014414, ((21: 0.003598, 14: 0.014473): 0.003579, 30: 0.003549): 0.003582, 26: 0.021742, 7: 0.003563, 25: 0.003563): 0.014456, 19: 0.000004): 0.035263, (((13: 0.003481, 27: 0.000004, 4: 0.003472, 8: 0.000004, 6: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, (29: 0.003478, 28: 0.006923): 0.003507): 0.003482, 18: 0.007005, 1: 0.000004): 0.010936, 16: 0.010234): 0.040967): 0.132243, 2: 0.024261): 0.007647, 20: 0.016858): 0.029974);
(C208: 0.000004, C213: 0.000004, (((((C270: 0.003551, (C112: 0.003527, C223: 0.000004): 0.010715, (C246: 0.010758, C258: 0.000004, C122: 0.007117): 0.014414, ((C280: 0.003598, C30: 0.014473): 0.003579, C73: 0.003549): 0.003582, C53: 0.021742, C230: 0.003563, C72: 0.003563): 0.014456, C131: 0.000004): 0.035263, (((C50: 0.003481, C38: 0.000004, C287: 0.003472, C44: 0.000004, C151: 0.000004, C31: 0.000004, C136: 0.000004, C77: 0.000004, (C79: 0.003478, C84: 0.006923): 0.003507): 0.003482, C199: 0.007005, C182: 0.000004): 0.010936, C174: 0.010234): 0.040967): 0.132243, C217: 0.024261): 0.007647, C130: 0.016858): 0.029974);
Detailed output identifying parameters
kappa (ts/tv) = 4.63984
Parameters in M7 (beta):
p = 0.04995 q = 0.93394
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 0.00020 0.00352 0.04301 0.38889
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
31..3 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
31..32 0.030 755.3 153.7 0.0436 0.0021 0.0487 1.6 7.5
32..33 0.008 755.3 153.7 0.0436 0.0005 0.0124 0.4 1.9
33..34 0.132 755.3 153.7 0.0436 0.0094 0.2147 7.1 33.0
34..35 0.035 755.3 153.7 0.0436 0.0025 0.0573 1.9 8.8
35..36 0.014 755.3 153.7 0.0436 0.0010 0.0235 0.8 3.6
36..11 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..37 0.011 755.3 153.7 0.0436 0.0008 0.0174 0.6 2.7
37..17 0.004 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
37..5 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
36..38 0.014 755.3 153.7 0.0436 0.0010 0.0234 0.8 3.6
38..22 0.011 755.3 153.7 0.0436 0.0008 0.0175 0.6 2.7
38..10 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
38..15 0.007 755.3 153.7 0.0436 0.0005 0.0116 0.4 1.8
36..39 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
39..40 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
40..21 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
40..14 0.014 755.3 153.7 0.0436 0.0010 0.0235 0.8 3.6
39..30 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..26 0.022 755.3 153.7 0.0436 0.0015 0.0353 1.2 5.4
36..7 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..25 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
35..19 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
34..41 0.041 755.3 153.7 0.0436 0.0029 0.0665 2.2 10.2
41..42 0.011 755.3 153.7 0.0436 0.0008 0.0178 0.6 2.7
42..43 0.003 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
43..13 0.003 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
43..27 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..4 0.003 755.3 153.7 0.0436 0.0002 0.0056 0.2 0.9
43..8 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..6 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..23 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..24 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..9 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..44 0.004 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
44..29 0.003 755.3 153.7 0.0436 0.0002 0.0056 0.2 0.9
44..28 0.007 755.3 153.7 0.0436 0.0005 0.0112 0.4 1.7
42..18 0.007 755.3 153.7 0.0436 0.0005 0.0114 0.4 1.7
42..1 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
41..16 0.010 755.3 153.7 0.0436 0.0007 0.0166 0.5 2.6
33..2 0.024 755.3 153.7 0.0436 0.0017 0.0394 1.3 6.1
32..20 0.017 755.3 153.7 0.0436 0.0012 0.0274 0.9 4.2
Time used: 27:54
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 3, (((((11, (17, 5), (22, 10, 15), ((21, 14), 30), 26, 7, 25), 19), (((13, 27, 4, 8, 6, 23, 24, 9, (29, 28)), 18, 1), 16)), 2), 20)); MP score: 121
lnL(ntime: 43 np: 48): -1861.347411 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..17 37..5 36..38 38..22 38..10 38..15 36..39 39..40 40..21 40..14 39..30 36..26 36..7 36..25 35..19 34..41 41..42 42..43 43..13 43..27 43..4 43..8 43..6 43..23 43..24 43..9 43..44 44..29 44..28 42..18 42..1 41..16 33..2 32..20
0.000004 0.000004 0.029974 0.007646 0.132244 0.035263 0.014456 0.003551 0.010715 0.003527 0.000004 0.014414 0.010758 0.000004 0.007117 0.003582 0.003579 0.003598 0.014473 0.003549 0.021742 0.003563 0.003563 0.000004 0.040967 0.010936 0.003482 0.003481 0.000004 0.003472 0.000004 0.000004 0.000004 0.000004 0.000004 0.003507 0.003478 0.006923 0.007005 0.000004 0.010234 0.024261 0.016858 4.639856 0.999990 0.049954 0.934163 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.461966
(12: 0.000004, 3: 0.000004, (((((11: 0.003551, (17: 0.003527, 5: 0.000004): 0.010715, (22: 0.010758, 10: 0.000004, 15: 0.007117): 0.014414, ((21: 0.003598, 14: 0.014473): 0.003579, 30: 0.003549): 0.003582, 26: 0.021742, 7: 0.003563, 25: 0.003563): 0.014456, 19: 0.000004): 0.035263, (((13: 0.003481, 27: 0.000004, 4: 0.003472, 8: 0.000004, 6: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, (29: 0.003478, 28: 0.006923): 0.003507): 0.003482, 18: 0.007005, 1: 0.000004): 0.010936, 16: 0.010234): 0.040967): 0.132244, 2: 0.024261): 0.007646, 20: 0.016858): 0.029974);
(C208: 0.000004, C213: 0.000004, (((((C270: 0.003551, (C112: 0.003527, C223: 0.000004): 0.010715, (C246: 0.010758, C258: 0.000004, C122: 0.007117): 0.014414, ((C280: 0.003598, C30: 0.014473): 0.003579, C73: 0.003549): 0.003582, C53: 0.021742, C230: 0.003563, C72: 0.003563): 0.014456, C131: 0.000004): 0.035263, (((C50: 0.003481, C38: 0.000004, C287: 0.003472, C44: 0.000004, C151: 0.000004, C31: 0.000004, C136: 0.000004, C77: 0.000004, (C79: 0.003478, C84: 0.006923): 0.003507): 0.003482, C199: 0.007005, C182: 0.000004): 0.010936, C174: 0.010234): 0.040967): 0.132244, C217: 0.024261): 0.007646, C130: 0.016858): 0.029974);
Detailed output identifying parameters
kappa (ts/tv) = 4.63986
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 0.04995 q = 0.93416
(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 0.00000 0.00000 0.00000 0.00001 0.00020 0.00352 0.04301 0.38880 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
31..3 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
31..32 0.030 755.3 153.7 0.0436 0.0021 0.0487 1.6 7.5
32..33 0.008 755.3 153.7 0.0436 0.0005 0.0124 0.4 1.9
33..34 0.132 755.3 153.7 0.0436 0.0094 0.2147 7.1 33.0
34..35 0.035 755.3 153.7 0.0436 0.0025 0.0573 1.9 8.8
35..36 0.014 755.3 153.7 0.0436 0.0010 0.0235 0.8 3.6
36..11 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..37 0.011 755.3 153.7 0.0436 0.0008 0.0174 0.6 2.7
37..17 0.004 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
37..5 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
36..38 0.014 755.3 153.7 0.0436 0.0010 0.0234 0.8 3.6
38..22 0.011 755.3 153.7 0.0436 0.0008 0.0175 0.6 2.7
38..10 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
38..15 0.007 755.3 153.7 0.0436 0.0005 0.0116 0.4 1.8
36..39 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
39..40 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
40..21 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
40..14 0.014 755.3 153.7 0.0436 0.0010 0.0235 0.8 3.6
39..30 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..26 0.022 755.3 153.7 0.0436 0.0015 0.0353 1.2 5.4
36..7 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
36..25 0.004 755.3 153.7 0.0436 0.0003 0.0058 0.2 0.9
35..19 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
34..41 0.041 755.3 153.7 0.0436 0.0029 0.0665 2.2 10.2
41..42 0.011 755.3 153.7 0.0436 0.0008 0.0178 0.6 2.7
42..43 0.003 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
43..13 0.003 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
43..27 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..4 0.003 755.3 153.7 0.0436 0.0002 0.0056 0.2 0.9
43..8 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..6 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..23 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..24 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..9 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
43..44 0.004 755.3 153.7 0.0436 0.0002 0.0057 0.2 0.9
44..29 0.003 755.3 153.7 0.0436 0.0002 0.0056 0.2 0.9
44..28 0.007 755.3 153.7 0.0436 0.0005 0.0112 0.4 1.7
42..18 0.007 755.3 153.7 0.0436 0.0005 0.0114 0.4 1.7
42..1 0.000 755.3 153.7 0.0436 0.0000 0.0000 0.0 0.0
41..16 0.010 755.3 153.7 0.0436 0.0007 0.0166 0.5 2.6
33..2 0.024 755.3 153.7 0.0436 0.0017 0.0394 1.3 6.1
32..20 0.017 755.3 153.7 0.0436 0.0012 0.0274 0.9 4.2
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: C182)
Pr(w>1) post mean +- SE for w
17 V 0.575 1.149 +- 0.644
83 R 0.783 1.584 +- 1.141
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 0.001 0.009 0.056 0.230 0.704
ws: 0.820 0.107 0.031 0.015 0.009 0.006 0.004 0.003 0.003 0.002
Time used: 53:24
Model 1: NearlyNeutral -1861.658328 Model 2: PositiveSelection -1861.658328 Model 7: beta -1861.347369 Model 8: beta&w>1 -1861.347411 Model 2 vs 1 0 Model 8 vs 7 -.000084
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
