--- 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 -1900.35 -1926.59
2 -1897.86 -1925.36
--------------------------------------
TOTAL -1898.47 -1926.15
--------------------------------------
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} 0.084306 0.000256 0.055029 0.115905 0.082714 1056.45 1151.05 1.000
r(A<->C){all} 0.049620 0.000514 0.010752 0.091629 0.045951 597.33 729.85 1.002
r(A<->G){all} 0.135237 0.001969 0.061439 0.231267 0.129683 480.54 542.63 1.000
r(A<->T){all} 0.025012 0.000382 0.000006 0.063761 0.020645 465.78 595.44 1.002
r(C<->G){all} 0.046947 0.000596 0.006201 0.094274 0.043176 741.65 746.82 1.000
r(C<->T){all} 0.645530 0.004078 0.523578 0.774151 0.647242 531.82 572.09 1.000
r(G<->T){all} 0.097654 0.001605 0.029480 0.176098 0.091904 390.31 442.48 1.000
pi(A){all} 0.280728 0.000190 0.254682 0.307842 0.280668 1135.16 1140.70 1.000
pi(C){all} 0.276865 0.000186 0.250129 0.302900 0.276790 1065.50 1152.47 1.000
pi(G){all} 0.222465 0.000170 0.199146 0.250210 0.222550 1155.44 1176.51 1.000
pi(T){all} 0.219941 0.000152 0.196327 0.244465 0.219729 1105.34 1120.18 1.000
alpha{1,2} 0.384920 0.232241 0.000233 1.208362 0.240684 991.54 1030.43 1.000
alpha{3} 1.473955 1.118861 0.001804 3.488639 1.201474 948.77 968.71 1.002
pinvar{all} 0.730174 0.008879 0.548103 0.877043 0.748539 586.59 663.84 1.002
------------------------------------------------------------------------------------------------------
* 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 -1824.326234
Model 2: PositiveSelection -1824.326112
Model 7: beta -1824.339646
Model 8: beta&w>1 -1824.339768
Model 2 vs 1 .000244
Model 8 vs 7 -.000244
-- Starting log on Tue Nov 08 20:15:01 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:13 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:45:43 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/gapped_alignment/codeml,NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.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 1026 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C1
Taxon 2 -> C10
Taxon 3 -> C11
Taxon 4 -> C14
Taxon 5 -> C15
Taxon 6 -> C2
Taxon 7 -> C20
Taxon 8 -> C21
Taxon 9 -> C22
Taxon 10 -> C23
Taxon 11 -> C24
Taxon 12 -> C26
Taxon 13 -> C28
Taxon 14 -> C3
Taxon 15 -> C33
Taxon 16 -> C34
Taxon 17 -> C36
Taxon 18 -> C37
Taxon 19 -> C40
Taxon 20 -> C42
Taxon 21 -> C45
Taxon 22 -> C46
Taxon 23 -> C5
Taxon 24 -> C51
Taxon 25 -> C52
Taxon 26 -> C54
Taxon 27 -> C58
Taxon 28 -> C6
Taxon 29 -> C8
Taxon 30 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667940345
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) = 1584313661
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 = 9772773053
Seed = 2138227920
Swapseed = 1667940345
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 10 unique site patterns
Division 2 has 10 unique site patterns
Division 3 has 36 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 -- -3001.731325 -- 82.122948
Chain 2 -- -2979.191373 -- 82.122948
Chain 3 -- -3006.863163 -- 82.122948
Chain 4 -- -3016.782303 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -3017.193811 -- 82.122948
Chain 2 -- -2997.458656 -- 82.122948
Chain 3 -- -2968.240097 -- 82.122948
Chain 4 -- -3019.648243 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-3001.731] (-2979.191) (-3006.863) (-3016.782) * [-3017.194] (-2997.459) (-2968.240) (-3019.648)
1000 -- (-2015.364) [-2027.035] (-2039.991) (-2031.934) * (-2011.687) (-1995.260) [-1974.142] (-2029.521) -- 0:16:39
2000 -- (-1966.050) (-1952.652) [-1937.541] (-1947.917) * (-1969.319) (-1951.765) [-1944.599] (-1959.079) -- 0:08:19
3000 -- (-1936.551) (-1938.061) [-1931.543] (-1935.709) * (-1950.262) [-1909.919] (-1931.185) (-1947.242) -- 0:11:04
4000 -- (-1945.059) (-1923.974) (-1926.465) [-1928.785] * (-1942.784) [-1915.357] (-1919.509) (-1923.790) -- 0:08:18
5000 -- (-1932.454) (-1916.895) [-1909.850] (-1934.253) * (-1919.294) (-1926.110) (-1930.221) [-1924.895] -- 0:09:57
Average standard deviation of split frequencies: 0.078567
6000 -- (-1918.037) (-1929.010) (-1927.100) [-1909.972] * (-1922.843) [-1912.558] (-1928.958) (-1914.193) -- 0:11:02
7000 -- (-1910.828) (-1916.876) (-1918.257) [-1919.188] * (-1912.720) [-1909.958] (-1932.766) (-1912.927) -- 0:09:27
8000 -- (-1920.435) (-1921.491) [-1897.902] (-1920.436) * (-1932.268) [-1905.587] (-1920.963) (-1927.029) -- 0:10:20
9000 -- (-1929.281) (-1915.309) (-1911.617) [-1916.532] * (-1926.614) [-1909.297] (-1924.217) (-1925.579) -- 0:09:10
10000 -- (-1927.225) (-1907.493) (-1909.636) [-1905.768] * (-1915.613) (-1908.740) (-1910.218) [-1908.602] -- 0:09:54
Average standard deviation of split frequencies: 0.068802
11000 -- (-1950.758) [-1903.591] (-1917.197) (-1901.605) * (-1915.764) (-1916.437) (-1935.021) [-1928.124] -- 0:10:29
12000 -- (-1917.904) (-1925.891) (-1918.074) [-1910.334] * (-1904.146) [-1912.851] (-1946.128) (-1925.685) -- 0:09:36
13000 -- (-1915.943) (-1910.508) (-1909.757) [-1909.732] * [-1901.562] (-1930.962) (-1923.857) (-1911.436) -- 0:10:07
14000 -- (-1912.808) [-1910.395] (-1904.071) (-1921.325) * [-1916.088] (-1907.211) (-1915.575) (-1909.003) -- 0:09:23
15000 -- (-1926.080) (-1922.315) (-1926.881) [-1918.242] * (-1920.106) (-1905.779) (-1917.296) [-1909.536] -- 0:09:51
Average standard deviation of split frequencies: 0.064282
16000 -- (-1927.670) (-1922.098) (-1910.229) [-1903.811] * [-1916.182] (-1912.296) (-1950.625) (-1920.223) -- 0:10:15
17000 -- (-1934.824) (-1904.183) (-1910.934) [-1907.189] * [-1906.670] (-1912.151) (-1928.723) (-1914.268) -- 0:09:38
18000 -- (-1925.820) [-1903.469] (-1916.057) (-1912.065) * (-1911.697) (-1928.119) (-1915.798) [-1915.296] -- 0:10:00
19000 -- (-1923.392) (-1904.558) (-1916.643) [-1905.020] * (-1911.869) [-1909.801] (-1917.037) (-1912.115) -- 0:09:27
20000 -- (-1937.736) (-1926.041) (-1907.295) [-1908.294] * (-1922.232) (-1913.329) [-1900.386] (-1902.582) -- 0:09:48
Average standard deviation of split frequencies: 0.060135
21000 -- (-1921.278) (-1923.820) (-1941.802) [-1907.185] * [-1904.474] (-1947.088) (-1920.005) (-1919.923) -- 0:10:06
22000 -- [-1908.164] (-1923.605) (-1916.258) (-1922.219) * (-1915.868) (-1921.416) (-1920.884) [-1906.404] -- 0:09:37
23000 -- (-1910.855) (-1920.870) (-1926.557) [-1910.414] * [-1905.724] (-1927.645) (-1922.690) (-1918.470) -- 0:09:54
24000 -- (-1921.990) (-1920.388) (-1920.431) [-1915.325] * [-1902.241] (-1904.408) (-1924.510) (-1920.748) -- 0:09:29
25000 -- (-1927.253) (-1911.539) (-1923.491) [-1912.439] * [-1919.353] (-1917.884) (-1935.682) (-1913.699) -- 0:09:45
Average standard deviation of split frequencies: 0.048349
26000 -- (-1907.799) (-1916.120) (-1936.279) [-1908.406] * [-1913.200] (-1933.568) (-1932.139) (-1912.491) -- 0:09:21
27000 -- (-1906.303) (-1916.534) (-1940.312) [-1903.497] * [-1903.708] (-1908.639) (-1934.171) (-1924.461) -- 0:09:36
28000 -- [-1912.896] (-1910.971) (-1911.462) (-1910.986) * [-1906.506] (-1911.350) (-1926.917) (-1921.544) -- 0:09:50
29000 -- [-1914.021] (-1918.170) (-1921.942) (-1919.506) * (-1913.146) (-1914.404) (-1947.661) [-1903.881] -- 0:09:29
30000 -- (-1905.936) [-1922.407] (-1923.025) (-1923.456) * (-1911.775) (-1916.400) (-1943.814) [-1916.860] -- 0:09:42
Average standard deviation of split frequencies: 0.049959
31000 -- (-1920.204) (-1918.878) [-1915.653] (-1919.432) * (-1923.235) (-1915.188) [-1903.831] (-1914.002) -- 0:09:22
32000 -- (-1916.844) (-1927.173) [-1910.455] (-1914.269) * (-1923.545) (-1915.586) (-1925.147) [-1923.696] -- 0:09:34
33000 -- (-1922.308) (-1936.340) (-1912.145) [-1897.169] * (-1926.728) [-1913.308] (-1931.863) (-1917.755) -- 0:09:16
34000 -- (-1932.835) (-1924.909) [-1912.250] (-1920.286) * (-1904.397) [-1903.722] (-1921.161) (-1932.889) -- 0:09:28
35000 -- [-1920.125] (-1922.167) (-1910.970) (-1914.462) * (-1921.001) [-1906.567] (-1914.988) (-1910.200) -- 0:09:39
Average standard deviation of split frequencies: 0.051651
36000 -- [-1910.879] (-1913.805) (-1943.590) (-1923.269) * (-1913.662) (-1919.296) (-1928.106) [-1919.494] -- 0:09:22
37000 -- (-1919.619) [-1918.718] (-1929.106) (-1906.557) * (-1925.783) (-1909.758) (-1908.948) [-1909.112] -- 0:09:32
38000 -- (-1944.121) (-1920.106) (-1917.865) [-1901.119] * (-1921.007) [-1904.859] (-1916.960) (-1910.154) -- 0:09:16
39000 -- (-1943.205) (-1920.925) (-1920.799) [-1909.520] * (-1913.841) [-1902.015] (-1904.265) (-1923.111) -- 0:09:26
40000 -- (-1918.625) [-1911.042] (-1924.505) (-1917.484) * (-1907.119) [-1920.531] (-1918.580) (-1931.900) -- 0:09:36
Average standard deviation of split frequencies: 0.046609
41000 -- [-1911.579] (-1917.582) (-1921.156) (-1949.496) * (-1916.962) [-1903.871] (-1912.033) (-1905.792) -- 0:09:21
42000 -- [-1903.861] (-1943.396) (-1908.284) (-1939.481) * [-1905.630] (-1909.778) (-1914.540) (-1913.078) -- 0:09:30
43000 -- (-1916.706) (-1928.918) (-1897.331) [-1908.824] * (-1934.119) [-1913.102] (-1916.073) (-1923.175) -- 0:09:16
44000 -- (-1910.632) [-1901.040] (-1913.163) (-1928.574) * (-1926.746) (-1912.892) (-1921.010) [-1905.736] -- 0:09:24
45000 -- (-1913.635) (-1917.702) [-1914.964] (-1932.452) * (-1908.534) [-1903.749] (-1933.189) (-1926.080) -- 0:09:11
Average standard deviation of split frequencies: 0.039048
46000 -- (-1916.038) [-1912.489] (-1914.876) (-1937.834) * (-1900.592) [-1902.298] (-1920.688) (-1921.268) -- 0:09:19
47000 -- [-1911.789] (-1898.386) (-1926.391) (-1923.175) * (-1913.504) [-1902.009] (-1927.101) (-1917.137) -- 0:09:27
48000 -- (-1916.986) [-1912.022] (-1912.305) (-1909.310) * [-1902.872] (-1912.252) (-1908.424) (-1918.420) -- 0:09:15
49000 -- (-1923.006) (-1905.162) (-1915.865) [-1899.491] * [-1911.963] (-1925.589) (-1932.590) (-1917.053) -- 0:09:22
50000 -- (-1923.281) (-1922.347) (-1919.079) [-1906.607] * (-1906.839) (-1914.555) (-1916.381) [-1914.350] -- 0:09:11
Average standard deviation of split frequencies: 0.038094
51000 -- (-1934.884) [-1913.342] (-1913.492) (-1920.618) * (-1913.169) (-1911.157) (-1923.821) [-1907.653] -- 0:09:18
52000 -- (-1910.495) (-1917.160) [-1906.837] (-1919.386) * (-1930.549) [-1898.309] (-1913.236) (-1923.417) -- 0:09:25
53000 -- (-1927.997) (-1915.936) [-1914.811] (-1913.029) * (-1912.995) [-1915.002] (-1927.229) (-1931.459) -- 0:09:13
54000 -- (-1919.279) [-1911.179] (-1921.576) (-1899.655) * (-1931.335) (-1909.034) [-1907.184] (-1915.163) -- 0:09:20
55000 -- [-1917.329] (-1916.008) (-1929.708) (-1924.818) * (-1920.966) (-1922.725) (-1916.254) [-1902.538] -- 0:09:09
Average standard deviation of split frequencies: 0.031988
56000 -- [-1908.163] (-1911.238) (-1916.692) (-1933.617) * (-1921.816) (-1932.036) (-1916.301) [-1920.381] -- 0:09:16
57000 -- [-1910.557] (-1920.391) (-1919.609) (-1917.604) * (-1914.466) (-1913.624) [-1904.419] (-1915.898) -- 0:09:05
58000 -- (-1927.105) (-1927.538) (-1925.808) [-1914.135] * [-1902.190] (-1932.147) (-1914.290) (-1936.818) -- 0:09:12
59000 -- (-1918.957) (-1913.565) (-1927.797) [-1910.607] * [-1920.266] (-1921.421) (-1926.869) (-1923.321) -- 0:09:18
60000 -- (-1921.971) [-1905.009] (-1922.570) (-1910.259) * [-1912.251] (-1914.754) (-1935.102) (-1921.327) -- 0:09:08
Average standard deviation of split frequencies: 0.028664
61000 -- (-1903.381) (-1911.712) (-1933.014) [-1911.165] * (-1905.307) [-1907.541] (-1921.164) (-1929.413) -- 0:09:14
62000 -- [-1903.855] (-1928.480) (-1931.114) (-1903.702) * [-1910.874] (-1934.927) (-1911.506) (-1922.215) -- 0:09:04
63000 -- (-1907.754) (-1940.341) (-1918.245) [-1897.171] * (-1903.812) (-1947.681) [-1902.293] (-1924.884) -- 0:09:10
64000 -- (-1906.492) (-1936.223) (-1932.716) [-1906.449] * [-1904.518] (-1946.526) (-1917.463) (-1923.843) -- 0:09:15
65000 -- (-1919.325) (-1936.739) (-1921.217) [-1910.708] * (-1915.260) (-1925.906) [-1905.192] (-1925.616) -- 0:09:06
Average standard deviation of split frequencies: 0.030251
66000 -- (-1911.611) (-1928.967) (-1924.229) [-1905.904] * (-1934.965) [-1904.259] (-1913.792) (-1933.538) -- 0:09:11
67000 -- (-1921.076) (-1916.821) (-1921.966) [-1912.129] * (-1923.691) [-1908.335] (-1924.456) (-1916.402) -- 0:09:03
68000 -- [-1912.009] (-1919.190) (-1906.743) (-1931.981) * (-1914.438) [-1905.606] (-1912.092) (-1909.756) -- 0:09:08
69000 -- [-1913.712] (-1922.575) (-1908.331) (-1924.241) * [-1908.497] (-1911.848) (-1932.203) (-1923.112) -- 0:09:13
70000 -- [-1914.407] (-1917.918) (-1908.940) (-1915.657) * (-1896.966) [-1907.058] (-1920.775) (-1910.225) -- 0:09:04
Average standard deviation of split frequencies: 0.027228
71000 -- (-1903.421) (-1919.443) (-1922.158) [-1918.625] * [-1916.766] (-1910.621) (-1928.880) (-1921.968) -- 0:09:09
72000 -- (-1906.264) (-1925.677) [-1916.914] (-1912.086) * (-1913.375) (-1922.595) (-1931.274) [-1909.933] -- 0:09:01
73000 -- (-1910.983) (-1922.700) (-1908.909) [-1903.119] * (-1922.642) (-1928.416) (-1928.659) [-1911.724] -- 0:09:06
74000 -- (-1925.615) (-1920.173) (-1931.131) [-1919.035] * (-1927.318) (-1934.203) (-1916.788) [-1914.759] -- 0:09:10
75000 -- [-1905.019] (-1911.606) (-1915.866) (-1910.728) * (-1912.108) (-1922.860) (-1933.392) [-1908.540] -- 0:09:02
Average standard deviation of split frequencies: 0.032279
76000 -- (-1925.208) (-1921.734) [-1913.874] (-1909.934) * [-1907.493] (-1920.149) (-1912.696) (-1938.060) -- 0:09:07
77000 -- (-1909.467) (-1918.295) (-1917.188) [-1911.327] * (-1920.653) [-1906.521] (-1909.937) (-1915.063) -- 0:08:59
78000 -- (-1915.589) (-1938.042) (-1918.215) [-1911.027] * (-1915.852) [-1916.262] (-1914.429) (-1939.469) -- 0:09:03
79000 -- [-1903.716] (-1915.756) (-1914.805) (-1943.494) * (-1914.182) [-1897.390] (-1914.495) (-1938.713) -- 0:09:07
80000 -- [-1909.056] (-1920.263) (-1952.905) (-1920.202) * (-1903.818) (-1919.185) (-1912.536) [-1907.482] -- 0:09:00
Average standard deviation of split frequencies: 0.029592
81000 -- (-1903.835) (-1923.016) [-1903.966] (-1931.250) * [-1911.500] (-1912.013) (-1925.553) (-1909.575) -- 0:09:04
82000 -- (-1909.227) (-1940.955) [-1900.614] (-1923.554) * (-1912.885) (-1925.912) [-1897.217] (-1923.031) -- 0:08:57
83000 -- [-1908.802] (-1945.440) (-1900.103) (-1905.322) * [-1908.876] (-1928.609) (-1897.959) (-1914.675) -- 0:09:01
84000 -- [-1906.360] (-1946.449) (-1905.716) (-1918.193) * (-1918.426) (-1929.059) [-1896.821] (-1929.523) -- 0:09:05
85000 -- (-1928.137) (-1925.036) (-1907.456) [-1911.417] * (-1912.198) (-1926.541) [-1917.480] (-1929.138) -- 0:08:58
Average standard deviation of split frequencies: 0.027636
86000 -- (-1918.916) (-1934.151) (-1920.272) [-1904.001] * (-1915.466) (-1937.559) [-1895.967] (-1905.556) -- 0:09:02
87000 -- (-1917.513) (-1906.509) (-1935.780) [-1900.403] * (-1942.636) (-1919.983) [-1895.516] (-1909.328) -- 0:08:55
88000 -- (-1929.573) (-1929.166) (-1911.919) [-1901.334] * (-1922.288) (-1926.554) [-1905.995] (-1920.368) -- 0:08:58
89000 -- (-1914.954) (-1930.610) (-1912.149) [-1913.439] * [-1919.609] (-1920.928) (-1900.434) (-1924.230) -- 0:09:02
90000 -- (-1922.969) (-1935.700) (-1905.138) [-1906.717] * (-1918.708) (-1920.819) (-1915.431) [-1914.531] -- 0:08:55
Average standard deviation of split frequencies: 0.026845
91000 -- (-1911.115) (-1928.962) (-1919.980) [-1908.984] * [-1909.106] (-1919.032) (-1915.131) (-1932.895) -- 0:08:59
92000 -- (-1926.663) (-1929.196) (-1914.629) [-1914.022] * [-1905.390] (-1912.195) (-1923.606) (-1932.356) -- 0:08:52
93000 -- (-1935.135) (-1927.445) [-1909.104] (-1920.473) * [-1904.451] (-1915.187) (-1922.691) (-1924.740) -- 0:08:56
94000 -- (-1915.156) [-1907.042] (-1910.862) (-1915.780) * (-1911.751) (-1915.067) (-1934.114) [-1912.554] -- 0:08:50
95000 -- (-1912.661) (-1911.230) [-1904.632] (-1923.363) * (-1913.958) [-1901.579] (-1929.893) (-1917.691) -- 0:08:53
Average standard deviation of split frequencies: 0.023592
96000 -- (-1910.861) (-1913.520) [-1913.481] (-1909.597) * (-1914.154) (-1907.137) (-1915.577) [-1915.242] -- 0:08:56
97000 -- (-1912.009) (-1915.568) (-1931.401) [-1917.732] * (-1926.998) (-1918.002) (-1915.373) [-1903.515] -- 0:08:50
98000 -- (-1924.845) (-1920.981) (-1906.991) [-1911.058] * [-1918.195] (-1946.558) (-1909.030) (-1908.760) -- 0:08:53
99000 -- (-1919.791) (-1921.572) [-1905.060] (-1911.081) * (-1925.231) (-1924.814) [-1915.024] (-1906.721) -- 0:08:47
100000 -- (-1935.652) (-1925.713) [-1906.531] (-1917.211) * (-1918.808) (-1924.045) (-1925.561) [-1916.190] -- 0:08:51
Average standard deviation of split frequencies: 0.021749
101000 -- (-1911.439) (-1923.940) [-1903.506] (-1926.878) * (-1920.702) (-1936.401) (-1925.616) [-1913.794] -- 0:08:54
102000 -- (-1912.469) (-1906.116) [-1916.967] (-1926.837) * (-1932.901) [-1911.558] (-1920.814) (-1916.486) -- 0:08:48
103000 -- (-1941.530) (-1934.752) [-1909.059] (-1913.991) * (-1923.357) [-1910.865] (-1917.589) (-1919.211) -- 0:08:51
104000 -- (-1933.667) [-1911.290] (-1905.583) (-1917.126) * (-1915.879) (-1912.446) (-1905.365) [-1906.039] -- 0:08:45
105000 -- (-1926.574) (-1936.818) (-1909.281) [-1918.261] * (-1920.813) (-1925.624) [-1902.400] (-1903.423) -- 0:08:48
Average standard deviation of split frequencies: 0.021076
106000 -- [-1915.730] (-1917.480) (-1913.381) (-1917.502) * (-1924.551) (-1916.241) (-1921.536) [-1908.869] -- 0:08:51
107000 -- (-1908.470) [-1908.401] (-1910.436) (-1903.353) * (-1914.384) (-1914.145) (-1930.696) [-1901.993] -- 0:08:45
108000 -- (-1914.779) [-1925.172] (-1919.623) (-1906.090) * (-1920.904) (-1912.712) (-1915.253) [-1906.463] -- 0:08:48
109000 -- (-1916.155) (-1937.094) (-1931.279) [-1911.873] * (-1908.025) (-1917.026) (-1942.697) [-1893.516] -- 0:08:43
110000 -- [-1901.949] (-1920.988) (-1935.284) (-1903.536) * (-1919.627) (-1909.382) (-1919.375) [-1910.367] -- 0:08:45
Average standard deviation of split frequencies: 0.020766
111000 -- (-1901.028) (-1913.961) (-1942.849) [-1915.735] * (-1913.803) (-1945.412) (-1929.568) [-1903.848] -- 0:08:48
112000 -- (-1912.142) (-1925.361) (-1928.899) [-1915.032] * (-1916.432) (-1922.942) (-1909.720) [-1913.489] -- 0:08:43
113000 -- (-1899.142) (-1929.669) (-1935.230) [-1912.967] * [-1915.466] (-1917.124) (-1928.726) (-1922.532) -- 0:08:45
114000 -- (-1911.903) (-1909.086) (-1941.982) [-1900.302] * (-1909.899) (-1919.577) (-1926.714) [-1926.908] -- 0:08:40
115000 -- (-1916.647) [-1903.118] (-1947.156) (-1913.581) * [-1914.326] (-1915.503) (-1909.872) (-1939.110) -- 0:08:43
Average standard deviation of split frequencies: 0.020742
116000 -- (-1925.230) [-1909.202] (-1941.778) (-1911.083) * (-1922.652) (-1909.627) (-1921.501) [-1906.032] -- 0:08:45
117000 -- (-1902.471) [-1899.406] (-1925.501) (-1922.130) * (-1920.553) (-1914.459) (-1927.371) [-1909.606] -- 0:08:40
118000 -- [-1899.673] (-1914.925) (-1920.236) (-1901.726) * (-1941.557) (-1911.480) (-1913.322) [-1894.921] -- 0:08:43
119000 -- (-1907.183) [-1906.134] (-1917.881) (-1901.650) * (-1918.266) (-1915.453) (-1915.715) [-1910.156] -- 0:08:38
120000 -- (-1919.803) (-1924.084) (-1933.552) [-1906.963] * (-1907.846) (-1907.745) (-1933.937) [-1913.286] -- 0:08:40
Average standard deviation of split frequencies: 0.019360
121000 -- [-1900.635] (-1945.671) (-1905.807) (-1914.253) * [-1910.718] (-1914.794) (-1926.021) (-1905.424) -- 0:08:35
122000 -- (-1906.742) (-1937.036) (-1904.919) [-1908.521] * [-1905.809] (-1923.587) (-1914.163) (-1911.986) -- 0:08:38
123000 -- (-1906.838) (-1935.308) (-1918.953) [-1899.574] * [-1915.072] (-1911.985) (-1915.827) (-1907.121) -- 0:08:40
124000 -- (-1913.842) (-1923.208) (-1927.317) [-1917.203] * [-1916.962] (-1906.823) (-1921.312) (-1908.869) -- 0:08:35
125000 -- [-1901.320] (-1942.714) (-1925.147) (-1909.377) * [-1915.599] (-1910.177) (-1925.893) (-1916.274) -- 0:08:38
Average standard deviation of split frequencies: 0.019503
126000 -- [-1910.654] (-1918.147) (-1926.087) (-1906.126) * (-1909.185) [-1893.893] (-1929.209) (-1924.025) -- 0:08:33
127000 -- [-1906.600] (-1917.781) (-1925.927) (-1901.423) * [-1921.610] (-1903.942) (-1921.166) (-1916.513) -- 0:08:35
128000 -- (-1910.948) (-1918.344) [-1907.507] (-1930.391) * [-1913.676] (-1906.623) (-1925.236) (-1936.473) -- 0:08:37
129000 -- [-1908.283] (-1916.067) (-1907.534) (-1923.414) * (-1910.827) (-1914.503) [-1903.295] (-1917.749) -- 0:08:33
130000 -- (-1909.291) (-1925.210) [-1908.892] (-1918.270) * (-1911.108) (-1923.598) [-1908.859] (-1927.526) -- 0:08:35
Average standard deviation of split frequencies: 0.016940
131000 -- (-1909.413) (-1922.262) [-1906.029] (-1916.908) * [-1896.841] (-1929.299) (-1920.528) (-1929.686) -- 0:08:30
132000 -- [-1915.163] (-1932.776) (-1932.464) (-1909.580) * (-1908.557) (-1918.258) (-1916.656) [-1915.003] -- 0:08:32
133000 -- (-1907.988) [-1923.167] (-1914.359) (-1909.169) * (-1911.069) (-1911.760) (-1920.866) [-1912.636] -- 0:08:34
134000 -- [-1905.521] (-1905.843) (-1920.673) (-1918.701) * (-1917.056) (-1931.482) (-1920.435) [-1899.943] -- 0:08:30
135000 -- [-1907.004] (-1909.445) (-1933.911) (-1919.426) * (-1918.487) (-1935.750) [-1907.744] (-1917.679) -- 0:08:32
Average standard deviation of split frequencies: 0.015834
136000 -- [-1905.580] (-1918.798) (-1908.261) (-1926.109) * (-1918.698) (-1937.719) [-1899.225] (-1919.525) -- 0:08:28
137000 -- [-1904.602] (-1926.206) (-1911.323) (-1927.151) * (-1934.043) (-1921.601) [-1918.370] (-1913.276) -- 0:08:30
138000 -- [-1905.972] (-1917.578) (-1915.778) (-1925.854) * (-1929.532) [-1901.071] (-1924.797) (-1923.447) -- 0:08:32
139000 -- [-1903.718] (-1898.392) (-1927.871) (-1946.007) * [-1902.576] (-1919.476) (-1921.434) (-1909.917) -- 0:08:27
140000 -- [-1902.857] (-1904.388) (-1910.622) (-1944.221) * (-1908.039) [-1916.752] (-1922.438) (-1913.553) -- 0:08:29
Average standard deviation of split frequencies: 0.013862
141000 -- (-1914.467) [-1910.064] (-1923.128) (-1915.820) * (-1905.663) (-1921.616) (-1918.206) [-1908.149] -- 0:08:25
142000 -- [-1923.818] (-1916.875) (-1934.742) (-1916.885) * (-1940.276) (-1905.048) [-1923.839] (-1915.124) -- 0:08:27
143000 -- [-1902.781] (-1912.908) (-1938.365) (-1920.305) * [-1917.058] (-1907.504) (-1917.253) (-1929.717) -- 0:08:23
144000 -- [-1911.241] (-1931.819) (-1906.790) (-1907.221) * (-1945.880) (-1930.750) [-1927.885] (-1927.327) -- 0:08:25
145000 -- [-1907.738] (-1923.235) (-1913.815) (-1922.575) * (-1924.149) (-1945.214) (-1923.236) [-1920.662] -- 0:08:27
Average standard deviation of split frequencies: 0.014740
146000 -- [-1913.025] (-1939.203) (-1916.810) (-1916.898) * (-1902.257) (-1947.910) (-1925.982) [-1906.989] -- 0:08:23
147000 -- (-1912.025) (-1911.953) [-1906.326] (-1924.617) * [-1903.848] (-1913.520) (-1917.227) (-1905.635) -- 0:08:24
148000 -- (-1909.588) (-1923.379) (-1915.005) [-1927.411] * [-1899.759] (-1918.921) (-1921.724) (-1914.358) -- 0:08:20
149000 -- (-1927.270) (-1921.073) [-1905.906] (-1925.391) * [-1910.459] (-1914.634) (-1925.733) (-1900.760) -- 0:08:22
150000 -- (-1912.552) (-1935.984) [-1901.117] (-1919.541) * [-1901.487] (-1932.340) (-1930.893) (-1907.921) -- 0:08:24
Average standard deviation of split frequencies: 0.013002
151000 -- [-1911.399] (-1931.577) (-1904.200) (-1929.037) * (-1929.945) (-1930.678) (-1918.078) [-1912.934] -- 0:08:20
152000 -- [-1911.974] (-1916.611) (-1923.795) (-1940.401) * (-1924.695) [-1912.298] (-1930.657) (-1923.570) -- 0:08:22
153000 -- (-1913.267) (-1921.528) [-1909.976] (-1936.914) * (-1918.073) [-1915.096] (-1921.264) (-1925.394) -- 0:08:18
154000 -- (-1912.123) (-1913.971) [-1902.983] (-1934.031) * (-1940.822) [-1906.528] (-1926.288) (-1928.712) -- 0:08:19
155000 -- (-1912.505) (-1935.699) [-1907.293] (-1918.393) * (-1927.532) [-1903.398] (-1909.587) (-1920.660) -- 0:08:21
Average standard deviation of split frequencies: 0.013138
156000 -- (-1896.796) (-1932.009) [-1914.484] (-1921.311) * (-1925.804) [-1926.741] (-1906.945) (-1942.001) -- 0:08:17
157000 -- [-1906.085] (-1940.654) (-1924.987) (-1913.763) * (-1919.584) (-1929.174) [-1906.400] (-1912.894) -- 0:08:19
158000 -- [-1908.171] (-1932.102) (-1918.289) (-1919.779) * (-1920.715) [-1901.723] (-1907.202) (-1918.868) -- 0:08:15
159000 -- [-1909.235] (-1931.188) (-1905.620) (-1926.605) * (-1932.894) [-1905.526] (-1907.815) (-1927.700) -- 0:08:17
160000 -- [-1908.692] (-1917.156) (-1913.650) (-1919.159) * (-1926.133) (-1910.094) [-1907.952] (-1920.069) -- 0:08:13
Average standard deviation of split frequencies: 0.013270
161000 -- [-1901.719] (-1927.753) (-1920.040) (-1929.368) * (-1940.935) [-1899.910] (-1922.847) (-1925.535) -- 0:08:15
162000 -- (-1917.421) [-1909.746] (-1917.219) (-1916.491) * (-1917.971) [-1916.695] (-1924.191) (-1909.385) -- 0:08:16
163000 -- (-1924.608) [-1907.621] (-1929.236) (-1925.406) * (-1909.162) [-1905.880] (-1929.275) (-1909.725) -- 0:08:12
164000 -- (-1928.173) [-1917.910] (-1907.176) (-1918.260) * (-1908.789) [-1912.315] (-1928.811) (-1926.986) -- 0:08:14
165000 -- (-1929.006) [-1916.223] (-1911.207) (-1905.021) * [-1914.565] (-1913.677) (-1915.590) (-1932.307) -- 0:08:10
Average standard deviation of split frequencies: 0.013458
166000 -- (-1931.131) (-1923.203) [-1905.641] (-1914.143) * (-1913.636) [-1908.428] (-1933.787) (-1920.380) -- 0:08:12
167000 -- (-1937.662) (-1911.349) (-1921.597) [-1898.280] * (-1915.186) (-1918.567) (-1908.204) [-1906.078] -- 0:08:08
168000 -- (-1929.337) (-1902.315) (-1924.960) [-1905.635] * (-1936.616) (-1911.588) [-1912.223] (-1913.478) -- 0:08:10
169000 -- (-1932.148) [-1909.959] (-1918.522) (-1917.357) * [-1908.142] (-1909.143) (-1925.875) (-1918.598) -- 0:08:11
170000 -- (-1916.341) [-1920.726] (-1927.361) (-1936.095) * (-1908.650) [-1916.318] (-1942.084) (-1904.252) -- 0:08:08
Average standard deviation of split frequencies: 0.015836
171000 -- [-1907.262] (-1916.365) (-1920.864) (-1921.302) * (-1913.644) (-1911.994) (-1916.909) [-1916.252] -- 0:08:09
172000 -- [-1917.695] (-1933.315) (-1915.171) (-1910.249) * (-1933.400) [-1909.886] (-1922.364) (-1901.484) -- 0:08:06
173000 -- (-1913.729) [-1914.143] (-1926.629) (-1912.143) * (-1945.910) (-1921.218) [-1908.025] (-1923.242) -- 0:08:07
174000 -- (-1909.237) [-1913.196] (-1932.965) (-1914.169) * (-1914.236) (-1937.028) [-1899.600] (-1909.939) -- 0:08:08
175000 -- (-1911.892) [-1915.526] (-1935.868) (-1926.717) * (-1909.599) (-1920.024) (-1909.806) [-1910.439] -- 0:08:05
Average standard deviation of split frequencies: 0.015261
176000 -- (-1909.659) [-1913.834] (-1926.750) (-1923.593) * (-1916.392) (-1922.621) (-1922.444) [-1912.824] -- 0:08:06
177000 -- (-1930.691) (-1924.053) (-1905.083) [-1906.315] * [-1903.543] (-1931.320) (-1906.816) (-1920.119) -- 0:08:03
178000 -- (-1914.556) (-1919.998) (-1914.854) [-1900.545] * [-1895.908] (-1921.053) (-1910.448) (-1922.982) -- 0:08:04
179000 -- (-1934.353) (-1907.580) [-1906.039] (-1915.960) * [-1905.990] (-1914.743) (-1908.919) (-1910.759) -- 0:08:01
180000 -- (-1908.820) (-1907.543) [-1910.677] (-1920.352) * (-1917.263) (-1921.029) [-1908.807] (-1921.983) -- 0:08:02
Average standard deviation of split frequencies: 0.015429
181000 -- (-1913.902) [-1907.454] (-1915.323) (-1915.763) * [-1915.771] (-1931.151) (-1928.309) (-1910.264) -- 0:08:04
182000 -- [-1925.595] (-1925.225) (-1914.712) (-1913.808) * [-1908.414] (-1923.629) (-1917.265) (-1919.721) -- 0:08:00
183000 -- (-1935.871) (-1916.657) (-1917.372) [-1906.259] * [-1902.476] (-1934.137) (-1930.407) (-1914.298) -- 0:08:02
184000 -- (-1914.481) (-1917.830) (-1905.881) [-1913.468] * [-1909.406] (-1922.493) (-1922.938) (-1921.615) -- 0:07:58
185000 -- (-1929.845) (-1912.717) (-1912.314) [-1916.038] * [-1904.843] (-1925.363) (-1925.134) (-1930.507) -- 0:08:00
Average standard deviation of split frequencies: 0.016555
186000 -- (-1919.277) (-1905.029) [-1909.844] (-1912.875) * [-1907.035] (-1937.398) (-1912.722) (-1916.998) -- 0:08:01
187000 -- (-1905.491) (-1919.680) (-1922.564) [-1907.564] * [-1914.716] (-1918.381) (-1925.406) (-1940.073) -- 0:07:58
188000 -- (-1911.945) (-1905.076) (-1927.174) [-1899.366] * [-1897.584] (-1928.476) (-1928.370) (-1918.911) -- 0:07:59
189000 -- (-1921.048) [-1907.395] (-1932.924) (-1907.986) * [-1909.712] (-1912.666) (-1921.467) (-1918.038) -- 0:08:00
190000 -- (-1913.032) [-1902.508] (-1927.195) (-1920.989) * (-1908.546) [-1906.507] (-1923.866) (-1922.347) -- 0:07:57
Average standard deviation of split frequencies: 0.016732
191000 -- (-1922.661) [-1910.454] (-1913.269) (-1915.312) * (-1908.917) [-1907.701] (-1922.302) (-1931.822) -- 0:07:58
192000 -- (-1918.668) (-1912.593) (-1928.479) [-1907.112] * (-1909.358) (-1921.717) [-1911.619] (-1923.486) -- 0:07:55
193000 -- (-1909.165) [-1902.206] (-1919.587) (-1925.348) * (-1912.901) (-1928.319) (-1907.032) [-1905.844] -- 0:07:56
194000 -- [-1910.296] (-1914.869) (-1927.390) (-1911.940) * [-1906.993] (-1937.423) (-1896.984) (-1920.630) -- 0:07:53
195000 -- (-1901.055) (-1916.655) (-1934.967) [-1906.250] * (-1913.545) (-1933.437) [-1901.218] (-1910.300) -- 0:07:54
Average standard deviation of split frequencies: 0.017929
196000 -- (-1919.055) (-1927.732) (-1918.984) [-1914.002] * [-1904.532] (-1906.265) (-1928.774) (-1926.760) -- 0:07:55
197000 -- (-1900.840) (-1926.938) (-1909.790) [-1903.586] * [-1906.818] (-1908.644) (-1926.532) (-1909.402) -- 0:07:52
198000 -- [-1903.785] (-1911.596) (-1921.390) (-1905.759) * (-1914.547) (-1908.379) (-1922.539) [-1903.223] -- 0:07:53
199000 -- (-1908.965) (-1922.911) [-1921.990] (-1918.891) * (-1929.079) (-1906.350) (-1932.139) [-1904.526] -- 0:07:50
200000 -- [-1922.191] (-1943.831) (-1914.165) (-1922.344) * (-1923.272) [-1900.668] (-1922.521) (-1906.518) -- 0:07:52
Average standard deviation of split frequencies: 0.019629
201000 -- (-1931.233) (-1937.352) (-1908.381) [-1921.737] * (-1923.538) [-1913.675] (-1929.862) (-1908.455) -- 0:07:53
202000 -- [-1907.933] (-1932.553) (-1910.822) (-1915.915) * (-1911.320) (-1921.879) (-1919.013) [-1905.978] -- 0:07:50
203000 -- (-1911.326) (-1939.989) [-1907.180] (-1924.198) * [-1920.139] (-1923.270) (-1933.446) (-1916.876) -- 0:07:51
204000 -- (-1908.404) [-1909.203] (-1905.310) (-1923.037) * [-1903.830] (-1911.782) (-1926.369) (-1922.496) -- 0:07:48
205000 -- (-1914.483) [-1903.010] (-1922.560) (-1922.508) * [-1900.801] (-1925.101) (-1931.913) (-1909.952) -- 0:07:49
Average standard deviation of split frequencies: 0.016985
206000 -- (-1907.061) [-1904.277] (-1916.972) (-1929.402) * [-1899.150] (-1914.727) (-1931.321) (-1911.214) -- 0:07:50
207000 -- (-1904.293) [-1909.768] (-1923.165) (-1929.541) * (-1903.393) [-1909.840] (-1928.771) (-1909.459) -- 0:07:47
208000 -- (-1920.883) (-1910.528) [-1910.481] (-1921.890) * [-1900.996] (-1908.061) (-1945.395) (-1913.584) -- 0:07:48
209000 -- (-1923.965) (-1909.246) [-1904.866] (-1913.383) * (-1900.147) (-1932.300) (-1943.574) [-1903.351] -- 0:07:45
210000 -- (-1921.006) (-1913.897) [-1897.921] (-1917.951) * [-1906.797] (-1912.548) (-1917.310) (-1918.004) -- 0:07:46
Average standard deviation of split frequencies: 0.017901
211000 -- (-1938.806) (-1912.038) (-1912.611) [-1907.262] * (-1902.901) (-1926.326) (-1921.455) [-1901.968] -- 0:07:47
212000 -- (-1944.099) (-1910.786) (-1917.679) [-1920.829] * [-1904.309] (-1936.122) (-1916.588) (-1910.406) -- 0:07:44
213000 -- [-1922.069] (-1922.599) (-1935.394) (-1935.259) * [-1907.835] (-1922.750) (-1919.232) (-1935.310) -- 0:07:45
214000 -- (-1908.559) [-1906.860] (-1938.649) (-1936.280) * [-1910.900] (-1922.065) (-1918.619) (-1930.453) -- 0:07:42
215000 -- (-1914.688) (-1914.384) (-1931.768) [-1903.621] * [-1906.883] (-1907.425) (-1911.072) (-1943.711) -- 0:07:43
Average standard deviation of split frequencies: 0.016940
216000 -- (-1915.225) (-1921.218) (-1905.722) [-1908.577] * (-1921.745) [-1913.262] (-1913.025) (-1949.526) -- 0:07:44
217000 -- (-1938.188) (-1919.049) (-1911.158) [-1906.441] * [-1908.883] (-1920.054) (-1918.222) (-1930.232) -- 0:07:41
218000 -- (-1934.210) (-1922.580) (-1915.628) [-1909.604] * [-1902.666] (-1918.451) (-1914.683) (-1922.043) -- 0:07:42
219000 -- [-1922.194] (-1922.900) (-1927.317) (-1910.801) * [-1921.530] (-1910.608) (-1929.637) (-1921.092) -- 0:07:40
220000 -- [-1909.098] (-1907.907) (-1914.513) (-1916.898) * (-1927.020) [-1902.586] (-1914.848) (-1924.711) -- 0:07:40
Average standard deviation of split frequencies: 0.018028
221000 -- [-1905.578] (-1916.460) (-1926.819) (-1913.271) * (-1924.645) [-1906.249] (-1922.104) (-1912.872) -- 0:07:41
222000 -- (-1918.372) [-1906.417] (-1936.678) (-1940.736) * (-1923.000) (-1901.071) (-1914.767) [-1895.023] -- 0:07:39
223000 -- [-1915.164] (-1917.083) (-1909.582) (-1911.711) * (-1918.919) [-1919.242] (-1930.554) (-1905.308) -- 0:07:39
224000 -- (-1927.844) (-1906.993) [-1914.138] (-1903.164) * (-1915.323) (-1921.528) (-1917.785) [-1903.025] -- 0:07:37
225000 -- (-1910.477) (-1913.420) (-1922.347) [-1900.395] * [-1912.179] (-1913.813) (-1924.633) (-1922.519) -- 0:07:38
Average standard deviation of split frequencies: 0.017730
226000 -- (-1908.108) (-1911.017) (-1916.047) [-1900.677] * (-1921.547) (-1917.638) [-1903.312] (-1924.580) -- 0:07:38
227000 -- (-1923.001) (-1916.387) (-1925.547) [-1897.016] * (-1915.787) [-1903.772] (-1916.068) (-1922.841) -- 0:07:36
228000 -- (-1911.755) [-1913.665] (-1926.060) (-1899.765) * [-1914.211] (-1909.682) (-1935.921) (-1912.340) -- 0:07:37
229000 -- (-1922.866) (-1924.246) (-1922.815) [-1904.301] * (-1907.727) (-1909.016) (-1938.303) [-1907.910] -- 0:07:34
230000 -- (-1908.015) [-1903.278] (-1920.985) (-1935.364) * [-1916.637] (-1904.183) (-1930.271) (-1920.824) -- 0:07:35
Average standard deviation of split frequencies: 0.017680
231000 -- (-1913.711) (-1915.579) (-1924.984) [-1907.438] * (-1914.754) [-1915.407] (-1928.017) (-1926.420) -- 0:07:36
232000 -- (-1905.672) [-1911.854] (-1920.124) (-1912.885) * (-1919.539) [-1905.268] (-1923.078) (-1931.771) -- 0:07:33
233000 -- (-1910.654) (-1929.470) [-1905.040] (-1922.066) * (-1916.720) [-1902.150] (-1938.019) (-1916.011) -- 0:07:34
234000 -- (-1918.802) [-1908.028] (-1915.745) (-1912.735) * (-1913.688) [-1904.813] (-1932.438) (-1918.661) -- 0:07:31
235000 -- (-1913.810) (-1923.335) (-1910.909) [-1909.228] * [-1911.607] (-1919.465) (-1929.132) (-1916.386) -- 0:07:32
Average standard deviation of split frequencies: 0.018263
236000 -- (-1914.886) (-1943.196) (-1906.219) [-1911.885] * (-1908.468) [-1897.964] (-1919.438) (-1941.079) -- 0:07:33
237000 -- [-1913.577] (-1920.020) (-1921.995) (-1899.228) * (-1935.255) [-1904.197] (-1908.346) (-1924.319) -- 0:07:30
238000 -- (-1906.346) (-1928.488) [-1920.488] (-1902.558) * (-1936.406) (-1910.925) [-1904.595] (-1913.904) -- 0:07:31
239000 -- (-1911.156) (-1922.852) (-1965.053) [-1913.045] * (-1911.783) (-1927.774) [-1911.071] (-1911.507) -- 0:07:28
240000 -- (-1922.762) (-1932.179) (-1936.039) [-1911.102] * (-1927.781) [-1919.983] (-1909.304) (-1921.115) -- 0:07:29
Average standard deviation of split frequencies: 0.019000
241000 -- (-1918.539) (-1926.012) (-1927.686) [-1917.215] * (-1930.644) (-1907.695) (-1920.873) [-1908.873] -- 0:07:30
242000 -- (-1933.725) (-1912.389) (-1934.720) [-1909.686] * (-1919.746) [-1903.356] (-1916.408) (-1922.202) -- 0:07:27
243000 -- (-1915.877) [-1904.394] (-1925.726) (-1910.451) * (-1915.476) (-1912.948) (-1927.790) [-1909.906] -- 0:07:28
244000 -- (-1921.607) (-1922.503) (-1910.144) [-1916.939] * (-1947.232) (-1912.464) (-1922.588) [-1901.702] -- 0:07:26
245000 -- (-1913.611) [-1913.342] (-1937.286) (-1911.059) * (-1947.489) (-1921.284) (-1922.082) [-1913.634] -- 0:07:26
Average standard deviation of split frequencies: 0.018379
246000 -- [-1918.801] (-1908.887) (-1931.861) (-1916.748) * (-1943.691) (-1926.541) (-1913.933) [-1911.380] -- 0:07:27
247000 -- (-1920.398) [-1910.651] (-1910.977) (-1925.173) * (-1927.588) (-1925.382) [-1914.757] (-1928.588) -- 0:07:25
248000 -- [-1910.572] (-1920.070) (-1916.569) (-1930.383) * (-1932.807) (-1912.723) (-1910.930) [-1918.533] -- 0:07:25
249000 -- (-1914.896) (-1913.209) [-1905.409] (-1936.695) * (-1935.759) (-1907.753) (-1926.072) [-1907.407] -- 0:07:23
250000 -- (-1913.015) [-1908.105] (-1907.791) (-1925.364) * (-1940.825) (-1908.097) (-1913.751) [-1905.847] -- 0:07:24
Average standard deviation of split frequencies: 0.019035
251000 -- (-1918.928) [-1906.482] (-1907.506) (-1929.474) * (-1931.615) (-1918.046) (-1909.679) [-1896.214] -- 0:07:21
252000 -- (-1922.033) [-1908.916] (-1917.460) (-1924.034) * (-1956.691) [-1916.113] (-1910.654) (-1915.330) -- 0:07:22
253000 -- (-1940.004) [-1904.073] (-1911.691) (-1911.461) * (-1930.336) (-1948.235) [-1901.755] (-1904.597) -- 0:07:22
254000 -- [-1905.405] (-1921.876) (-1913.954) (-1921.588) * (-1913.072) (-1929.350) (-1921.457) [-1914.346] -- 0:07:20
255000 -- (-1902.731) [-1912.064] (-1915.888) (-1915.860) * [-1908.380] (-1935.944) (-1932.829) (-1906.994) -- 0:07:21
Average standard deviation of split frequencies: 0.020211
256000 -- (-1910.416) (-1924.433) (-1919.565) [-1920.169] * (-1910.376) (-1917.858) (-1924.215) [-1911.025] -- 0:07:18
257000 -- (-1938.792) (-1916.383) [-1909.613] (-1909.443) * (-1908.322) (-1924.602) [-1909.803] (-1925.496) -- 0:07:19
258000 -- (-1952.801) (-1908.551) (-1904.089) [-1915.274] * (-1910.412) (-1927.370) [-1911.219] (-1922.348) -- 0:07:20
259000 -- (-1920.326) (-1914.143) (-1929.024) [-1913.586] * (-1917.160) (-1926.587) [-1906.831] (-1922.985) -- 0:07:17
260000 -- [-1921.370] (-1931.120) (-1912.067) (-1921.934) * (-1928.330) (-1908.346) [-1910.427] (-1923.280) -- 0:07:18
Average standard deviation of split frequencies: 0.019809
261000 -- [-1909.264] (-1914.126) (-1950.471) (-1916.521) * (-1917.347) (-1929.986) [-1910.336] (-1903.843) -- 0:07:16
262000 -- (-1912.177) [-1901.882] (-1944.624) (-1904.512) * (-1921.109) [-1907.218] (-1927.654) (-1925.246) -- 0:07:16
263000 -- (-1924.552) [-1903.140] (-1920.118) (-1912.847) * [-1903.097] (-1920.801) (-1914.773) (-1906.527) -- 0:07:17
264000 -- [-1913.021] (-1921.505) (-1915.988) (-1916.451) * (-1936.676) (-1910.757) [-1913.793] (-1925.435) -- 0:07:14
265000 -- [-1904.046] (-1912.391) (-1920.111) (-1923.444) * (-1925.117) (-1918.810) [-1922.637] (-1912.675) -- 0:07:15
Average standard deviation of split frequencies: 0.019414
266000 -- [-1917.826] (-1914.087) (-1911.012) (-1935.200) * (-1910.960) [-1901.190] (-1924.806) (-1917.305) -- 0:07:13
267000 -- [-1911.735] (-1911.491) (-1916.380) (-1923.243) * [-1903.036] (-1910.686) (-1949.496) (-1913.736) -- 0:07:13
268000 -- (-1908.531) (-1924.899) [-1896.918] (-1925.306) * [-1904.400] (-1908.561) (-1920.379) (-1936.054) -- 0:07:11
269000 -- (-1937.096) (-1921.474) (-1903.145) [-1908.613] * [-1918.189] (-1925.005) (-1926.220) (-1936.338) -- 0:07:12
270000 -- [-1903.175] (-1937.957) (-1915.993) (-1913.211) * (-1919.067) (-1909.983) [-1915.292] (-1928.053) -- 0:07:12
Average standard deviation of split frequencies: 0.018875
271000 -- (-1914.857) (-1929.730) (-1921.209) [-1910.843] * (-1931.476) [-1903.892] (-1915.452) (-1906.204) -- 0:07:10
272000 -- [-1905.441] (-1926.636) (-1919.173) (-1921.209) * (-1943.592) [-1901.464] (-1920.876) (-1905.532) -- 0:07:10
273000 -- [-1906.736] (-1924.475) (-1914.522) (-1920.664) * (-1927.933) (-1916.232) (-1915.503) [-1926.595] -- 0:07:08
274000 -- (-1916.431) (-1923.774) (-1923.617) [-1915.564] * (-1913.871) (-1916.967) (-1919.376) [-1911.377] -- 0:07:09
275000 -- (-1912.347) [-1912.159] (-1915.908) (-1926.002) * (-1931.828) (-1913.805) (-1910.360) [-1908.651] -- 0:07:09
Average standard deviation of split frequencies: 0.018341
276000 -- [-1905.735] (-1930.169) (-1929.441) (-1914.181) * (-1915.892) (-1924.241) [-1912.249] (-1907.219) -- 0:07:07
277000 -- [-1915.669] (-1934.247) (-1920.274) (-1912.830) * (-1932.687) (-1916.564) [-1911.637] (-1912.336) -- 0:07:08
278000 -- (-1931.044) (-1920.034) (-1918.645) [-1910.213] * (-1919.689) (-1915.464) [-1906.708] (-1933.494) -- 0:07:05
279000 -- [-1909.486] (-1913.238) (-1919.264) (-1906.684) * (-1918.346) (-1907.440) [-1911.507] (-1918.771) -- 0:07:06
280000 -- (-1933.016) (-1934.006) [-1919.979] (-1917.968) * (-1917.473) [-1915.930] (-1925.582) (-1919.862) -- 0:07:04
Average standard deviation of split frequencies: 0.017888
281000 -- (-1925.274) (-1939.760) (-1914.767) [-1908.451] * [-1914.102] (-1899.047) (-1916.680) (-1929.349) -- 0:07:04
282000 -- (-1931.294) (-1920.192) (-1918.896) [-1900.825] * (-1909.270) (-1911.558) [-1900.527] (-1929.106) -- 0:07:05
283000 -- (-1916.912) (-1928.305) (-1925.930) [-1901.455] * (-1912.709) (-1914.885) [-1910.435] (-1922.969) -- 0:07:03
284000 -- (-1917.015) (-1930.645) [-1901.115] (-1913.122) * (-1919.242) (-1913.045) [-1901.722] (-1921.427) -- 0:07:03
285000 -- (-1932.198) [-1914.308] (-1920.555) (-1914.005) * (-1901.628) (-1917.646) [-1904.389] (-1934.584) -- 0:07:01
Average standard deviation of split frequencies: 0.016559
286000 -- (-1938.758) (-1927.836) [-1909.217] (-1911.467) * (-1910.181) (-1914.050) [-1902.336] (-1918.967) -- 0:07:01
287000 -- (-1917.165) (-1939.542) (-1908.389) [-1908.080] * (-1921.085) (-1911.766) (-1913.743) [-1914.583] -- 0:07:02
288000 -- (-1923.845) (-1930.092) [-1901.675] (-1911.111) * (-1915.739) [-1905.563] (-1914.047) (-1904.227) -- 0:07:00
289000 -- (-1926.917) (-1912.781) [-1908.728] (-1911.552) * [-1910.145] (-1924.564) (-1933.149) (-1918.409) -- 0:07:00
290000 -- (-1929.888) [-1907.541] (-1903.756) (-1907.941) * (-1915.009) [-1916.687] (-1926.437) (-1913.999) -- 0:06:58
Average standard deviation of split frequencies: 0.016495
291000 -- (-1925.540) [-1907.688] (-1918.239) (-1914.113) * [-1905.309] (-1926.496) (-1920.323) (-1901.892) -- 0:06:59
292000 -- (-1909.523) [-1909.081] (-1911.837) (-1926.873) * (-1916.668) (-1917.390) [-1908.091] (-1923.985) -- 0:06:57
293000 -- (-1905.811) [-1905.478] (-1917.224) (-1923.128) * (-1928.501) [-1909.095] (-1928.052) (-1919.360) -- 0:06:57
294000 -- (-1924.342) (-1918.712) (-1934.834) [-1908.701] * (-1903.025) [-1906.171] (-1913.420) (-1912.585) -- 0:06:57
295000 -- (-1923.013) [-1903.854] (-1932.479) (-1911.513) * (-1921.881) (-1926.096) [-1904.474] (-1919.010) -- 0:06:55
Average standard deviation of split frequencies: 0.016523
296000 -- (-1926.771) (-1918.738) (-1915.867) [-1910.045] * (-1916.618) (-1928.768) (-1913.431) [-1914.560] -- 0:06:56
297000 -- (-1928.127) (-1925.734) [-1906.800] (-1907.239) * (-1921.506) (-1918.334) (-1922.391) [-1915.652] -- 0:06:54
298000 -- (-1919.536) [-1910.963] (-1916.779) (-1913.803) * (-1926.214) (-1933.423) (-1915.305) [-1916.072] -- 0:06:54
299000 -- (-1922.150) [-1908.175] (-1914.838) (-1917.898) * (-1923.606) (-1921.155) [-1922.399] (-1910.910) -- 0:06:54
300000 -- (-1937.245) (-1921.721) [-1912.909] (-1918.527) * (-1903.034) [-1917.934] (-1935.747) (-1909.500) -- 0:06:53
Average standard deviation of split frequencies: 0.015832
301000 -- (-1935.785) [-1908.057] (-1913.969) (-1926.321) * [-1902.777] (-1919.650) (-1914.571) (-1941.937) -- 0:06:53
302000 -- (-1906.254) [-1913.415] (-1921.972) (-1919.548) * (-1920.911) (-1923.685) [-1916.149] (-1918.604) -- 0:06:51
303000 -- (-1929.655) [-1904.757] (-1909.389) (-1926.939) * [-1919.840] (-1938.033) (-1908.496) (-1933.191) -- 0:06:51
304000 -- (-1921.920) (-1912.251) [-1904.651] (-1928.053) * (-1932.099) (-1914.180) [-1902.602] (-1922.833) -- 0:06:52
305000 -- [-1910.056] (-1920.492) (-1925.843) (-1931.219) * (-1921.258) [-1893.015] (-1908.545) (-1946.271) -- 0:06:50
Average standard deviation of split frequencies: 0.015593
306000 -- [-1902.441] (-1908.352) (-1921.703) (-1919.318) * (-1922.952) (-1909.838) [-1909.032] (-1930.971) -- 0:06:50
307000 -- [-1908.518] (-1920.288) (-1916.235) (-1912.172) * (-1914.793) [-1907.853] (-1910.081) (-1924.842) -- 0:06:48
308000 -- (-1914.444) (-1921.320) (-1930.143) [-1916.284] * [-1906.057] (-1908.725) (-1919.134) (-1928.856) -- 0:06:48
309000 -- (-1918.426) [-1915.470] (-1916.376) (-1915.349) * [-1914.170] (-1907.599) (-1912.916) (-1921.385) -- 0:06:49
310000 -- (-1917.824) [-1901.075] (-1913.913) (-1922.716) * [-1909.040] (-1925.832) (-1926.902) (-1910.820) -- 0:06:47
Average standard deviation of split frequencies: 0.015729
311000 -- (-1914.563) (-1923.960) [-1907.132] (-1927.887) * [-1905.194] (-1922.071) (-1910.635) (-1920.078) -- 0:06:47
312000 -- (-1922.839) (-1903.168) [-1907.772] (-1931.801) * [-1905.004] (-1932.536) (-1918.671) (-1938.239) -- 0:06:45
313000 -- [-1918.854] (-1910.284) (-1917.414) (-1926.898) * (-1911.691) (-1930.917) [-1907.629] (-1929.825) -- 0:06:46
314000 -- (-1930.001) [-1910.013] (-1912.940) (-1923.650) * (-1908.361) (-1926.269) [-1900.211] (-1949.554) -- 0:06:44
315000 -- [-1913.811] (-1922.447) (-1917.564) (-1923.693) * (-1904.288) [-1907.609] (-1926.443) (-1950.029) -- 0:06:44
Average standard deviation of split frequencies: 0.014918
316000 -- [-1910.026] (-1924.017) (-1923.698) (-1923.699) * [-1904.494] (-1936.841) (-1925.225) (-1918.143) -- 0:06:44
317000 -- [-1900.243] (-1921.478) (-1937.819) (-1915.606) * (-1908.428) (-1932.831) (-1923.194) [-1916.261] -- 0:06:42
318000 -- (-1918.448) (-1913.891) (-1927.832) [-1907.155] * (-1905.528) [-1920.935] (-1922.492) (-1912.929) -- 0:06:43
319000 -- (-1910.036) [-1912.365] (-1921.297) (-1904.124) * [-1901.729] (-1947.369) (-1909.351) (-1923.547) -- 0:06:41
320000 -- (-1933.228) (-1905.858) (-1925.938) [-1908.763] * (-1915.186) (-1917.207) (-1912.232) [-1909.080] -- 0:06:41
Average standard deviation of split frequencies: 0.014627
321000 -- (-1936.413) (-1913.228) [-1898.323] (-1906.595) * (-1905.451) [-1914.668] (-1925.211) (-1913.139) -- 0:06:41
322000 -- (-1921.277) (-1912.515) [-1912.423] (-1901.678) * [-1921.640] (-1921.974) (-1907.385) (-1933.549) -- 0:06:40
323000 -- (-1929.212) [-1899.999] (-1911.361) (-1905.977) * (-1923.000) (-1919.929) [-1901.409] (-1908.564) -- 0:06:40
324000 -- (-1907.193) [-1908.607] (-1916.368) (-1931.493) * (-1923.963) (-1909.533) [-1902.510] (-1927.551) -- 0:06:38
325000 -- (-1941.901) [-1906.729] (-1905.766) (-1918.682) * (-1952.902) [-1901.868] (-1919.070) (-1911.077) -- 0:06:38
Average standard deviation of split frequencies: 0.014390
326000 -- (-1930.085) [-1909.796] (-1910.452) (-1926.074) * (-1932.913) (-1907.851) [-1912.379] (-1921.951) -- 0:06:39
327000 -- (-1918.748) [-1899.795] (-1911.299) (-1925.374) * (-1921.710) [-1912.254] (-1918.103) (-1930.092) -- 0:06:37
328000 -- (-1936.038) (-1901.080) [-1906.369] (-1928.234) * [-1915.787] (-1913.003) (-1922.706) (-1942.032) -- 0:06:37
329000 -- (-1914.853) [-1908.272] (-1914.313) (-1930.233) * [-1905.505] (-1909.471) (-1912.016) (-1923.633) -- 0:06:35
330000 -- (-1915.430) (-1912.523) [-1923.530] (-1922.843) * [-1904.589] (-1916.389) (-1921.694) (-1933.065) -- 0:06:35
Average standard deviation of split frequencies: 0.014731
331000 -- (-1903.049) (-1933.361) [-1915.547] (-1935.796) * (-1913.646) [-1902.982] (-1919.001) (-1925.134) -- 0:06:36
332000 -- (-1911.518) (-1928.394) [-1912.174] (-1919.424) * (-1912.206) (-1907.204) [-1918.378] (-1925.559) -- 0:06:34
333000 -- (-1949.139) [-1910.589] (-1902.612) (-1918.986) * (-1912.511) (-1921.392) [-1906.438] (-1916.199) -- 0:06:34
334000 -- (-1917.300) [-1910.880] (-1944.293) (-1907.947) * (-1906.796) [-1918.293] (-1936.092) (-1913.405) -- 0:06:32
335000 -- (-1913.970) [-1912.573] (-1923.399) (-1902.856) * (-1918.966) [-1913.150] (-1907.020) (-1915.064) -- 0:06:33
Average standard deviation of split frequencies: 0.014626
336000 -- [-1912.655] (-1921.538) (-1933.521) (-1907.963) * (-1912.849) [-1905.987] (-1914.793) (-1931.123) -- 0:06:33
337000 -- (-1927.748) [-1905.746] (-1933.600) (-1912.470) * [-1903.824] (-1926.545) (-1915.900) (-1914.048) -- 0:06:31
338000 -- (-1947.500) (-1906.546) (-1942.561) [-1910.848] * [-1910.516] (-1915.243) (-1921.601) (-1943.336) -- 0:06:31
339000 -- (-1925.416) [-1907.064] (-1920.485) (-1912.817) * [-1902.386] (-1917.964) (-1908.397) (-1941.266) -- 0:06:29
340000 -- (-1920.690) [-1906.552] (-1928.776) (-1913.883) * (-1927.071) (-1929.860) [-1909.104] (-1904.792) -- 0:06:30
Average standard deviation of split frequencies: 0.014910
341000 -- (-1930.231) (-1933.016) [-1913.445] (-1908.860) * [-1919.428] (-1920.122) (-1944.954) (-1906.294) -- 0:06:30
342000 -- (-1919.390) (-1920.510) [-1909.453] (-1907.191) * (-1919.915) [-1897.226] (-1923.814) (-1913.462) -- 0:06:28
343000 -- (-1913.391) (-1915.977) [-1904.944] (-1941.793) * [-1909.311] (-1911.468) (-1936.476) (-1925.657) -- 0:06:28
344000 -- [-1896.228] (-1910.669) (-1929.266) (-1907.419) * (-1930.551) [-1907.079] (-1918.406) (-1938.930) -- 0:06:27
345000 -- [-1912.808] (-1923.797) (-1922.837) (-1926.309) * (-1937.772) [-1903.153] (-1913.400) (-1937.050) -- 0:06:27
Average standard deviation of split frequencies: 0.013624
346000 -- (-1926.460) [-1909.446] (-1924.908) (-1914.233) * (-1911.000) [-1901.081] (-1928.514) (-1921.601) -- 0:06:27
347000 -- (-1917.489) [-1909.208] (-1937.101) (-1929.084) * (-1952.146) [-1908.005] (-1924.741) (-1934.416) -- 0:06:25
348000 -- (-1910.340) [-1900.561] (-1930.623) (-1920.258) * (-1922.695) [-1904.739] (-1920.926) (-1934.790) -- 0:06:25
349000 -- [-1913.881] (-1913.944) (-1919.837) (-1918.412) * (-1921.405) [-1902.015] (-1924.769) (-1922.320) -- 0:06:24
350000 -- (-1906.887) [-1914.274] (-1924.074) (-1939.490) * (-1925.844) (-1912.747) [-1918.311] (-1926.441) -- 0:06:24
Average standard deviation of split frequencies: 0.013868
351000 -- (-1922.477) (-1925.293) [-1916.444] (-1925.477) * [-1908.828] (-1912.805) (-1930.232) (-1909.178) -- 0:06:24
352000 -- (-1919.870) (-1942.635) (-1916.536) [-1912.031] * [-1917.621] (-1923.639) (-1924.339) (-1921.206) -- 0:06:22
353000 -- [-1912.440] (-1929.537) (-1912.714) (-1909.423) * [-1909.273] (-1921.573) (-1910.310) (-1911.829) -- 0:06:23
354000 -- [-1908.071] (-1916.194) (-1920.328) (-1918.771) * [-1908.964] (-1936.663) (-1922.252) (-1904.385) -- 0:06:21
355000 -- (-1934.454) (-1921.042) (-1925.999) [-1928.759] * (-1923.376) (-1950.623) [-1906.301] (-1909.329) -- 0:06:21
Average standard deviation of split frequencies: 0.013344
356000 -- (-1927.763) (-1912.264) (-1924.885) [-1916.662] * (-1925.141) (-1910.483) (-1919.433) [-1902.210] -- 0:06:19
357000 -- [-1907.029] (-1922.008) (-1907.746) (-1919.584) * [-1911.970] (-1925.267) (-1944.084) (-1909.541) -- 0:06:20
358000 -- [-1915.272] (-1926.388) (-1935.097) (-1922.596) * [-1910.032] (-1917.232) (-1918.087) (-1928.924) -- 0:06:20
359000 -- (-1918.120) (-1916.204) (-1916.336) [-1916.446] * [-1909.625] (-1931.416) (-1923.956) (-1922.071) -- 0:06:18
360000 -- [-1918.306] (-1917.660) (-1910.797) (-1918.576) * [-1913.839] (-1918.404) (-1914.887) (-1920.837) -- 0:06:18
Average standard deviation of split frequencies: 0.013103
361000 -- (-1939.817) (-1908.417) [-1925.615] (-1927.220) * (-1912.035) [-1908.349] (-1921.542) (-1925.842) -- 0:06:17
362000 -- [-1915.343] (-1914.216) (-1912.685) (-1923.078) * (-1928.088) [-1908.573] (-1900.736) (-1933.867) -- 0:06:17
363000 -- (-1923.645) (-1923.529) (-1936.561) [-1901.725] * (-1903.773) (-1921.094) [-1911.554] (-1925.458) -- 0:06:17
364000 -- (-1942.782) (-1907.861) (-1917.775) [-1906.024] * (-1924.453) (-1928.879) [-1912.152] (-1925.151) -- 0:06:15
365000 -- (-1917.003) (-1941.239) (-1911.716) [-1904.729] * (-1910.230) (-1905.190) [-1901.548] (-1928.079) -- 0:06:15
Average standard deviation of split frequencies: 0.013248
366000 -- [-1913.108] (-1948.763) (-1917.616) (-1903.001) * (-1907.176) (-1914.327) [-1906.306] (-1938.701) -- 0:06:14
367000 -- [-1905.975] (-1931.696) (-1925.612) (-1910.007) * [-1915.865] (-1914.312) (-1906.171) (-1938.892) -- 0:06:14
368000 -- (-1913.853) (-1925.843) [-1911.848] (-1915.576) * (-1925.771) [-1906.966] (-1922.232) (-1921.161) -- 0:06:14
369000 -- (-1914.120) (-1923.632) (-1945.034) [-1924.622] * [-1903.403] (-1915.044) (-1918.286) (-1933.098) -- 0:06:12
370000 -- (-1925.823) (-1930.741) [-1911.999] (-1908.128) * (-1915.712) [-1916.112] (-1912.848) (-1920.280) -- 0:06:12
Average standard deviation of split frequencies: 0.013449
371000 -- (-1921.050) (-1924.253) [-1903.360] (-1911.125) * (-1931.725) (-1909.461) (-1925.218) [-1899.000] -- 0:06:11
372000 -- (-1930.578) (-1919.052) [-1914.249] (-1900.806) * (-1919.384) [-1912.637] (-1918.159) (-1921.302) -- 0:06:11
373000 -- (-1924.194) (-1921.359) (-1919.421) [-1901.832] * (-1935.310) (-1916.266) (-1917.107) [-1914.577] -- 0:06:11
374000 -- (-1924.545) (-1942.374) [-1923.395] (-1908.719) * (-1919.341) (-1929.407) [-1905.727] (-1920.788) -- 0:06:09
375000 -- (-1928.739) (-1920.139) (-1920.370) [-1911.347] * (-1922.409) [-1910.761] (-1912.573) (-1916.806) -- 0:06:10
Average standard deviation of split frequencies: 0.014199
376000 -- (-1929.571) [-1901.177] (-1917.362) (-1937.029) * [-1901.575] (-1909.673) (-1914.165) (-1919.176) -- 0:06:08
377000 -- (-1915.431) [-1913.983] (-1909.048) (-1925.913) * [-1913.902] (-1908.522) (-1910.217) (-1915.033) -- 0:06:08
378000 -- (-1931.031) [-1906.389] (-1907.764) (-1919.712) * [-1910.406] (-1912.676) (-1924.221) (-1913.450) -- 0:06:06
379000 -- (-1926.818) [-1911.558] (-1912.122) (-1923.048) * [-1911.056] (-1929.766) (-1915.383) (-1920.228) -- 0:06:07
380000 -- (-1925.519) [-1909.449] (-1932.963) (-1931.162) * (-1926.065) [-1905.741] (-1912.642) (-1924.577) -- 0:06:07
Average standard deviation of split frequencies: 0.014697
381000 -- [-1916.724] (-1917.235) (-1927.156) (-1912.894) * [-1918.973] (-1924.451) (-1905.480) (-1933.978) -- 0:06:05
382000 -- (-1922.077) [-1919.374] (-1933.889) (-1922.049) * (-1906.773) (-1905.663) [-1916.788] (-1940.691) -- 0:06:05
383000 -- (-1905.969) (-1915.094) (-1920.360) [-1917.751] * (-1907.828) (-1917.827) [-1897.858] (-1934.623) -- 0:06:04
384000 -- (-1910.258) (-1905.961) (-1927.039) [-1912.878] * [-1907.949] (-1921.035) (-1905.476) (-1929.326) -- 0:06:04
385000 -- (-1913.148) [-1908.746] (-1919.557) (-1931.181) * (-1911.547) (-1913.079) (-1920.160) [-1908.951] -- 0:06:04
Average standard deviation of split frequencies: 0.014289
386000 -- [-1904.073] (-1913.804) (-1924.690) (-1930.345) * [-1912.894] (-1915.619) (-1919.673) (-1919.379) -- 0:06:02
387000 -- (-1910.808) [-1909.375] (-1937.399) (-1924.863) * (-1915.440) (-1913.531) [-1912.670] (-1940.624) -- 0:06:02
388000 -- [-1918.997] (-1904.843) (-1921.881) (-1929.318) * (-1913.795) (-1921.127) [-1907.950] (-1925.165) -- 0:06:01
389000 -- [-1905.189] (-1907.211) (-1924.346) (-1926.322) * (-1906.914) (-1942.049) (-1921.295) [-1905.311] -- 0:06:01
390000 -- [-1906.737] (-1908.867) (-1919.839) (-1922.786) * [-1902.319] (-1943.891) (-1913.663) (-1914.917) -- 0:06:01
Average standard deviation of split frequencies: 0.014480
391000 -- (-1913.931) (-1908.367) (-1909.917) [-1915.575] * [-1901.094] (-1917.668) (-1940.654) (-1913.168) -- 0:05:59
392000 -- (-1916.340) (-1915.425) (-1935.129) [-1915.092] * [-1911.556] (-1914.300) (-1929.118) (-1921.566) -- 0:05:59
393000 -- (-1920.856) [-1908.955] (-1926.303) (-1916.729) * [-1908.387] (-1924.521) (-1920.592) (-1920.250) -- 0:05:58
394000 -- (-1932.172) (-1904.789) (-1920.644) [-1904.427] * (-1927.662) (-1922.588) (-1919.169) [-1914.585] -- 0:05:58
395000 -- (-1921.158) [-1903.820] (-1908.149) (-1906.641) * (-1929.686) (-1931.163) (-1922.763) [-1911.403] -- 0:05:56
Average standard deviation of split frequencies: 0.013736
396000 -- [-1899.483] (-1925.967) (-1940.545) (-1899.794) * (-1930.487) [-1910.850] (-1916.517) (-1904.771) -- 0:05:56
397000 -- [-1910.058] (-1910.895) (-1919.529) (-1922.390) * (-1932.552) [-1910.550] (-1918.233) (-1909.063) -- 0:05:56
398000 -- (-1911.993) (-1918.035) [-1912.687] (-1928.911) * (-1917.331) (-1927.605) (-1938.605) [-1914.937] -- 0:05:55
399000 -- (-1914.426) [-1903.354] (-1910.128) (-1911.251) * (-1927.592) (-1912.731) (-1918.343) [-1900.163] -- 0:05:55
400000 -- [-1903.794] (-1925.130) (-1919.417) (-1920.495) * (-1901.511) (-1931.387) (-1911.423) [-1912.072] -- 0:05:54
Average standard deviation of split frequencies: 0.013907
401000 -- (-1922.691) (-1912.861) [-1905.170] (-1929.858) * [-1895.831] (-1941.511) (-1919.906) (-1906.258) -- 0:05:54
402000 -- (-1907.473) [-1908.534] (-1911.879) (-1906.559) * (-1913.270) (-1934.305) [-1910.715] (-1937.632) -- 0:05:52
403000 -- (-1902.995) (-1913.141) [-1925.398] (-1926.222) * [-1911.021] (-1937.441) (-1927.486) (-1914.759) -- 0:05:52
404000 -- [-1915.602] (-1915.118) (-1913.100) (-1925.452) * [-1914.999] (-1918.481) (-1915.751) (-1962.956) -- 0:05:52
405000 -- [-1907.226] (-1944.077) (-1919.572) (-1906.505) * (-1919.282) [-1912.412] (-1915.137) (-1911.317) -- 0:05:51
Average standard deviation of split frequencies: 0.014514
406000 -- (-1909.793) (-1923.021) [-1906.028] (-1923.014) * (-1908.182) [-1920.150] (-1926.276) (-1911.159) -- 0:05:51
407000 -- (-1914.112) (-1925.619) (-1927.618) [-1905.068] * (-1921.769) [-1912.964] (-1929.486) (-1911.413) -- 0:05:49
408000 -- (-1910.632) (-1931.719) (-1916.717) [-1907.941] * [-1911.722] (-1932.784) (-1934.320) (-1915.274) -- 0:05:49
409000 -- (-1914.284) (-1921.559) (-1920.038) [-1907.474] * [-1906.154] (-1925.520) (-1929.867) (-1911.229) -- 0:05:49
410000 -- (-1923.170) (-1933.087) (-1912.964) [-1898.733] * [-1911.687] (-1925.865) (-1921.494) (-1937.754) -- 0:05:48
Average standard deviation of split frequencies: 0.013745
411000 -- (-1921.238) (-1912.902) [-1915.652] (-1914.502) * [-1904.338] (-1949.593) (-1916.768) (-1912.220) -- 0:05:48
412000 -- (-1916.934) (-1911.614) (-1912.684) [-1902.808] * [-1903.945] (-1927.606) (-1931.651) (-1911.269) -- 0:05:46
413000 -- [-1912.528] (-1920.030) (-1923.393) (-1911.443) * (-1930.796) (-1915.985) (-1945.339) [-1910.426] -- 0:05:46
414000 -- (-1911.252) (-1925.291) [-1905.103] (-1908.766) * (-1904.368) [-1896.282] (-1932.384) (-1903.521) -- 0:05:46
415000 -- (-1935.648) (-1929.934) [-1911.437] (-1904.600) * (-1914.293) (-1909.844) (-1920.004) [-1902.757] -- 0:05:45
Average standard deviation of split frequencies: 0.013482
416000 -- (-1922.047) (-1944.581) [-1908.538] (-1918.208) * [-1908.023] (-1909.686) (-1909.169) (-1911.407) -- 0:05:45
417000 -- (-1938.775) (-1930.293) (-1903.867) [-1910.754] * (-1913.744) (-1920.707) (-1917.607) [-1916.386] -- 0:05:43
418000 -- (-1918.344) [-1911.309] (-1916.816) (-1919.546) * (-1909.669) (-1916.824) (-1922.601) [-1905.098] -- 0:05:43
419000 -- (-1917.951) (-1923.144) (-1927.303) [-1905.159] * (-1918.485) (-1909.978) (-1927.406) [-1913.783] -- 0:05:42
420000 -- [-1915.004] (-1936.113) (-1921.019) (-1910.747) * (-1917.373) [-1910.814] (-1942.633) (-1905.288) -- 0:05:42
Average standard deviation of split frequencies: 0.013045
421000 -- (-1918.712) (-1921.111) (-1926.241) [-1913.711] * (-1918.986) (-1923.670) (-1920.915) [-1904.549] -- 0:05:42
422000 -- (-1924.641) (-1919.064) (-1928.787) [-1907.547] * (-1919.014) (-1927.825) (-1921.415) [-1905.666] -- 0:05:41
423000 -- (-1928.200) (-1912.665) (-1934.203) [-1902.637] * (-1910.373) (-1927.417) [-1901.451] (-1941.552) -- 0:05:41
424000 -- (-1949.549) (-1910.777) (-1935.788) [-1905.460] * (-1908.275) (-1932.623) [-1905.923] (-1922.648) -- 0:05:39
425000 -- (-1953.001) (-1904.993) (-1925.289) [-1921.343] * (-1929.744) (-1930.715) [-1905.211] (-1910.049) -- 0:05:39
Average standard deviation of split frequencies: 0.012882
426000 -- (-1928.334) (-1921.244) [-1921.994] (-1910.522) * (-1919.868) (-1922.865) [-1903.620] (-1915.337) -- 0:05:39
427000 -- (-1910.429) (-1918.892) (-1936.988) [-1914.066] * (-1912.074) (-1925.216) (-1915.390) [-1907.286] -- 0:05:38
428000 -- (-1910.436) (-1925.186) (-1928.504) [-1903.587] * [-1910.689] (-1933.506) (-1918.636) (-1914.093) -- 0:05:38
429000 -- (-1925.824) (-1921.959) (-1925.412) [-1912.401] * [-1913.124] (-1933.613) (-1935.894) (-1918.110) -- 0:05:36
430000 -- (-1916.824) [-1900.137] (-1929.049) (-1911.901) * [-1916.879] (-1925.586) (-1932.100) (-1916.767) -- 0:05:36
Average standard deviation of split frequencies: 0.013332
431000 -- (-1925.472) (-1915.284) [-1911.174] (-1906.696) * (-1911.824) (-1930.210) (-1927.327) [-1913.162] -- 0:05:36
432000 -- (-1913.138) (-1909.824) (-1925.342) [-1905.771] * [-1908.242] (-1924.584) (-1918.183) (-1923.631) -- 0:05:35
433000 -- (-1915.258) (-1925.175) (-1904.935) [-1904.747] * (-1913.043) (-1934.750) (-1942.698) [-1908.976] -- 0:05:35
434000 -- [-1907.307] (-1922.578) (-1914.429) (-1925.056) * (-1932.401) (-1924.486) (-1912.901) [-1904.251] -- 0:05:33
435000 -- [-1916.900] (-1906.564) (-1926.975) (-1939.112) * (-1928.189) (-1921.254) (-1926.652) [-1917.514] -- 0:05:33
Average standard deviation of split frequencies: 0.012461
436000 -- [-1906.172] (-1914.965) (-1931.771) (-1922.817) * (-1939.575) (-1917.661) (-1906.391) [-1914.348] -- 0:05:32
437000 -- (-1918.609) [-1910.717] (-1914.645) (-1919.064) * (-1943.356) (-1924.685) [-1905.220] (-1912.882) -- 0:05:32
438000 -- (-1945.090) (-1929.741) (-1917.826) [-1906.862] * (-1922.583) [-1908.880] (-1909.745) (-1930.807) -- 0:05:32
439000 -- (-1934.106) (-1924.833) (-1916.149) [-1911.972] * (-1922.793) (-1925.653) [-1906.071] (-1934.034) -- 0:05:30
440000 -- (-1931.436) (-1925.245) (-1911.928) [-1911.358] * [-1917.599] (-1925.736) (-1913.061) (-1944.904) -- 0:05:30
Average standard deviation of split frequencies: 0.012168
441000 -- [-1909.268] (-1932.681) (-1917.510) (-1912.405) * [-1902.636] (-1920.961) (-1924.628) (-1925.598) -- 0:05:29
442000 -- (-1903.242) (-1927.527) (-1905.077) [-1897.670] * [-1902.930] (-1921.449) (-1916.025) (-1907.900) -- 0:05:29
443000 -- (-1911.135) (-1925.543) [-1903.513] (-1918.346) * (-1915.360) [-1923.219] (-1914.116) (-1909.526) -- 0:05:29
444000 -- (-1915.124) [-1906.033] (-1907.509) (-1915.607) * [-1905.220] (-1923.640) (-1897.492) (-1921.469) -- 0:05:28
445000 -- (-1907.040) [-1908.755] (-1935.361) (-1927.641) * (-1904.568) (-1925.150) [-1903.732] (-1937.030) -- 0:05:28
Average standard deviation of split frequencies: 0.012419
446000 -- (-1923.728) [-1913.817] (-1922.712) (-1908.742) * (-1898.004) [-1909.030] (-1936.402) (-1931.910) -- 0:05:26
447000 -- (-1908.458) (-1917.538) (-1930.758) [-1901.991] * (-1899.316) [-1908.663] (-1946.281) (-1929.284) -- 0:05:26
448000 -- [-1903.642] (-1908.073) (-1927.914) (-1905.942) * [-1914.811] (-1919.008) (-1930.801) (-1914.476) -- 0:05:26
449000 -- (-1931.961) (-1903.162) (-1930.065) [-1914.973] * (-1919.817) (-1912.852) (-1927.535) [-1916.883] -- 0:05:25
450000 -- (-1924.000) [-1906.427] (-1925.836) (-1926.521) * (-1929.349) (-1915.619) [-1902.486] (-1911.597) -- 0:05:25
Average standard deviation of split frequencies: 0.012186
451000 -- (-1933.126) [-1918.673] (-1939.679) (-1921.635) * (-1922.119) (-1929.105) [-1903.046] (-1925.792) -- 0:05:23
452000 -- (-1913.377) (-1924.294) [-1907.663] (-1917.499) * [-1901.500] (-1916.512) (-1912.269) (-1912.085) -- 0:05:23
453000 -- (-1927.680) (-1912.830) [-1902.553] (-1913.543) * (-1912.416) [-1909.188] (-1927.572) (-1908.648) -- 0:05:23
454000 -- (-1917.712) (-1922.314) [-1905.374] (-1915.514) * (-1909.978) [-1916.020] (-1943.470) (-1916.077) -- 0:05:22
455000 -- (-1917.979) (-1922.765) [-1911.611] (-1910.759) * (-1906.330) [-1913.477] (-1915.014) (-1913.590) -- 0:05:22
Average standard deviation of split frequencies: 0.012095
456000 -- (-1932.115) (-1914.901) (-1906.151) [-1915.898] * [-1903.048] (-1919.584) (-1909.921) (-1913.739) -- 0:05:22
457000 -- (-1921.213) [-1903.493] (-1909.631) (-1915.356) * (-1924.797) (-1910.241) (-1918.948) [-1900.468] -- 0:05:20
458000 -- (-1906.421) [-1901.014] (-1906.433) (-1919.693) * (-1926.314) (-1932.583) [-1909.118] (-1915.542) -- 0:05:20
459000 -- (-1918.865) [-1917.337] (-1917.787) (-1914.769) * (-1914.276) (-1920.634) [-1917.312] (-1914.433) -- 0:05:19
460000 -- [-1907.850] (-1918.931) (-1917.190) (-1920.897) * (-1911.286) (-1916.157) [-1916.016] (-1919.756) -- 0:05:19
Average standard deviation of split frequencies: 0.012280
461000 -- (-1919.115) (-1906.601) [-1908.789] (-1926.795) * (-1948.457) (-1925.188) [-1913.527] (-1912.522) -- 0:05:19
462000 -- (-1926.519) [-1909.102] (-1908.565) (-1922.096) * (-1916.266) (-1920.306) [-1911.359] (-1923.575) -- 0:05:17
463000 -- (-1914.517) [-1905.204] (-1902.615) (-1920.785) * (-1924.463) (-1924.431) [-1915.984] (-1923.398) -- 0:05:17
464000 -- (-1924.087) [-1899.066] (-1922.097) (-1907.434) * (-1924.174) [-1908.268] (-1904.488) (-1934.836) -- 0:05:16
465000 -- (-1922.796) (-1910.057) (-1905.249) [-1906.713] * (-1930.727) (-1901.482) (-1931.512) [-1914.926] -- 0:05:16
Average standard deviation of split frequencies: 0.012243
466000 -- (-1908.298) [-1905.353] (-1917.409) (-1934.304) * (-1925.542) (-1908.395) [-1903.149] (-1916.076) -- 0:05:15
467000 -- (-1905.072) (-1930.680) [-1908.663] (-1914.508) * [-1918.801] (-1918.992) (-1917.138) (-1911.202) -- 0:05:15
468000 -- [-1899.518] (-1926.948) (-1902.500) (-1912.851) * (-1931.471) (-1931.534) [-1905.576] (-1907.625) -- 0:05:14
469000 -- [-1900.357] (-1914.930) (-1915.223) (-1929.384) * (-1916.675) (-1922.051) [-1897.578] (-1922.244) -- 0:05:13
470000 -- [-1902.514] (-1919.295) (-1903.901) (-1913.982) * (-1910.397) (-1919.616) [-1905.459] (-1928.741) -- 0:05:13
Average standard deviation of split frequencies: 0.012532
471000 -- (-1915.576) (-1911.895) [-1907.602] (-1919.457) * (-1921.944) (-1921.777) [-1908.316] (-1933.080) -- 0:05:12
472000 -- (-1910.572) (-1911.445) [-1908.124] (-1914.234) * (-1926.576) (-1915.190) [-1904.380] (-1913.466) -- 0:05:12
473000 -- (-1904.831) [-1896.909] (-1910.428) (-1911.377) * [-1907.455] (-1907.624) (-1918.942) (-1919.045) -- 0:05:11
474000 -- (-1913.588) [-1916.231] (-1928.730) (-1906.464) * [-1915.256] (-1933.078) (-1920.169) (-1910.572) -- 0:05:10
475000 -- [-1919.232] (-1934.846) (-1921.101) (-1915.768) * (-1906.552) (-1918.775) (-1930.606) [-1903.562] -- 0:05:10
Average standard deviation of split frequencies: 0.012553
476000 -- [-1913.412] (-1931.170) (-1919.239) (-1926.387) * (-1921.783) (-1927.082) (-1935.163) [-1910.477] -- 0:05:09
477000 -- [-1902.735] (-1910.386) (-1911.012) (-1913.469) * [-1901.875] (-1923.894) (-1918.475) (-1918.063) -- 0:05:09
478000 -- (-1924.215) (-1915.522) [-1908.420] (-1925.251) * [-1919.744] (-1900.896) (-1927.687) (-1936.067) -- 0:05:09
479000 -- (-1914.126) (-1937.561) [-1921.529] (-1923.964) * [-1904.450] (-1916.596) (-1925.579) (-1910.575) -- 0:05:07
480000 -- (-1919.218) [-1901.107] (-1917.890) (-1941.936) * (-1907.782) (-1918.691) (-1912.391) [-1919.060] -- 0:05:07
Average standard deviation of split frequencies: 0.012982
481000 -- (-1932.072) [-1914.019] (-1922.390) (-1925.221) * [-1905.924] (-1931.019) (-1914.861) (-1925.142) -- 0:05:06
482000 -- [-1913.731] (-1911.847) (-1919.469) (-1933.538) * (-1917.175) (-1916.196) (-1933.633) [-1905.211] -- 0:05:06
483000 -- [-1908.076] (-1905.804) (-1923.726) (-1930.942) * [-1913.391] (-1907.183) (-1921.170) (-1920.795) -- 0:05:06
484000 -- (-1910.376) (-1914.953) [-1908.013] (-1923.191) * [-1910.419] (-1932.642) (-1922.547) (-1906.597) -- 0:05:04
485000 -- [-1911.646] (-1902.399) (-1920.801) (-1931.313) * (-1915.281) (-1925.949) [-1922.959] (-1904.021) -- 0:05:04
Average standard deviation of split frequencies: 0.012207
486000 -- (-1905.058) [-1902.383] (-1923.198) (-1936.665) * (-1916.926) (-1918.519) (-1930.604) [-1912.397] -- 0:05:03
487000 -- [-1903.081] (-1928.241) (-1913.771) (-1941.833) * (-1914.935) (-1925.775) [-1914.604] (-1929.614) -- 0:05:03
488000 -- (-1909.090) (-1917.614) [-1908.895] (-1930.351) * [-1910.137] (-1936.497) (-1908.205) (-1919.964) -- 0:05:03
489000 -- (-1907.359) [-1912.277] (-1925.071) (-1938.305) * (-1909.564) (-1918.123) [-1911.672] (-1924.389) -- 0:05:02
490000 -- (-1921.725) (-1901.615) (-1941.308) [-1912.155] * [-1910.415] (-1917.101) (-1916.314) (-1925.897) -- 0:05:01
Average standard deviation of split frequencies: 0.012711
491000 -- (-1915.439) (-1914.571) [-1926.770] (-1914.514) * [-1905.601] (-1928.792) (-1907.216) (-1923.836) -- 0:05:00
492000 -- (-1934.280) [-1902.440] (-1928.808) (-1919.566) * [-1905.507] (-1918.158) (-1920.920) (-1921.528) -- 0:05:00
493000 -- (-1935.216) (-1918.753) (-1922.596) [-1907.212] * [-1911.139] (-1916.870) (-1917.053) (-1935.006) -- 0:05:00
494000 -- [-1925.084] (-1916.031) (-1928.511) (-1906.370) * (-1908.239) (-1923.346) [-1920.265] (-1932.511) -- 0:04:59
495000 -- [-1918.626] (-1927.968) (-1943.388) (-1910.250) * [-1909.772] (-1907.992) (-1912.215) (-1929.312) -- 0:04:58
Average standard deviation of split frequencies: 0.012989
496000 -- (-1902.517) (-1922.693) (-1926.670) [-1914.919] * (-1910.488) (-1915.103) [-1918.248] (-1932.982) -- 0:04:57
497000 -- (-1933.440) (-1926.036) (-1918.469) [-1901.688] * (-1940.699) [-1912.481] (-1903.004) (-1910.978) -- 0:04:57
498000 -- (-1910.091) (-1922.170) (-1915.037) [-1905.388] * (-1934.385) (-1924.810) [-1916.488] (-1922.983) -- 0:04:56
499000 -- (-1914.986) (-1922.456) [-1908.021] (-1925.885) * (-1921.593) (-1913.242) (-1936.895) [-1906.838] -- 0:04:56
500000 -- (-1917.776) (-1910.096) (-1935.825) [-1907.750] * (-1915.756) (-1932.448) [-1914.039] (-1910.802) -- 0:04:56
Average standard deviation of split frequencies: 0.013205
501000 -- (-1924.717) (-1914.102) (-1919.158) [-1905.916] * (-1914.006) [-1911.250] (-1912.469) (-1916.183) -- 0:04:54
502000 -- (-1925.406) (-1925.818) (-1912.939) [-1914.933] * (-1949.686) [-1902.985] (-1908.364) (-1909.280) -- 0:04:54
503000 -- (-1930.162) (-1922.182) (-1916.872) [-1905.979] * (-1935.821) (-1912.634) [-1907.628] (-1932.707) -- 0:04:53
504000 -- (-1933.123) (-1922.315) (-1919.705) [-1902.485] * (-1924.763) (-1908.169) [-1905.290] (-1915.258) -- 0:04:53
505000 -- (-1935.177) [-1908.013] (-1927.476) (-1906.435) * (-1938.628) (-1912.360) [-1911.892] (-1916.411) -- 0:04:53
Average standard deviation of split frequencies: 0.013136
506000 -- (-1919.877) (-1920.175) [-1911.271] (-1907.941) * (-1931.980) (-1927.039) [-1917.822] (-1924.194) -- 0:04:51
507000 -- (-1924.860) (-1919.245) [-1905.726] (-1919.442) * (-1920.052) (-1923.798) [-1910.594] (-1920.233) -- 0:04:51
508000 -- (-1921.858) [-1912.496] (-1916.867) (-1931.597) * [-1908.968] (-1924.421) (-1927.095) (-1914.584) -- 0:04:50
509000 -- (-1920.279) [-1908.501] (-1926.182) (-1924.598) * [-1922.049] (-1907.544) (-1919.298) (-1906.409) -- 0:04:50
510000 -- (-1921.148) (-1918.437) (-1915.961) [-1914.059] * [-1919.838] (-1911.621) (-1928.920) (-1923.112) -- 0:04:50
Average standard deviation of split frequencies: 0.012601
511000 -- (-1911.830) [-1906.826] (-1910.348) (-1914.811) * (-1931.779) (-1916.729) [-1921.777] (-1915.634) -- 0:04:48
512000 -- (-1922.673) (-1913.195) (-1919.062) [-1907.587] * (-1954.222) (-1926.279) (-1924.951) [-1906.068] -- 0:04:48
513000 -- [-1921.800] (-1908.318) (-1914.525) (-1914.187) * (-1936.001) (-1911.967) (-1913.547) [-1897.795] -- 0:04:47
514000 -- (-1908.166) (-1931.684) (-1938.292) [-1912.661] * (-1941.222) (-1913.754) (-1913.301) [-1920.124] -- 0:04:47
515000 -- (-1916.211) [-1898.994] (-1921.445) (-1925.349) * (-1924.296) (-1923.835) [-1905.306] (-1938.073) -- 0:04:46
Average standard deviation of split frequencies: 0.011808
516000 -- (-1920.282) [-1912.981] (-1913.777) (-1951.502) * (-1928.433) (-1921.604) [-1896.708] (-1916.558) -- 0:04:46
517000 -- (-1913.486) [-1910.233] (-1920.395) (-1932.087) * (-1929.109) [-1915.928] (-1915.588) (-1928.228) -- 0:04:45
518000 -- (-1903.670) (-1914.297) [-1896.174] (-1918.592) * (-1937.904) (-1924.255) [-1902.338] (-1926.472) -- 0:04:44
519000 -- (-1904.848) (-1919.289) [-1915.303] (-1915.222) * (-1931.946) [-1912.058] (-1927.913) (-1928.171) -- 0:04:44
520000 -- (-1924.024) (-1908.746) [-1907.152] (-1914.979) * (-1940.136) (-1907.167) (-1927.156) [-1917.060] -- 0:04:43
Average standard deviation of split frequencies: 0.012300
521000 -- (-1931.410) [-1916.249] (-1908.507) (-1921.258) * [-1918.179] (-1907.822) (-1923.884) (-1924.775) -- 0:04:43
522000 -- (-1916.017) (-1908.997) [-1906.620] (-1945.768) * [-1916.285] (-1912.656) (-1902.034) (-1927.968) -- 0:04:42
523000 -- (-1926.562) (-1921.408) (-1906.868) [-1907.842] * (-1907.922) (-1908.785) [-1910.087] (-1920.401) -- 0:04:41
524000 -- (-1915.507) (-1916.830) [-1901.812] (-1915.595) * [-1909.074] (-1904.783) (-1920.882) (-1928.385) -- 0:04:41
525000 -- (-1929.841) [-1915.485] (-1912.354) (-1918.050) * [-1904.323] (-1911.063) (-1906.972) (-1935.610) -- 0:04:40
Average standard deviation of split frequencies: 0.012659
526000 -- (-1928.030) (-1923.627) [-1904.618] (-1909.011) * (-1912.822) (-1911.693) [-1904.964] (-1914.072) -- 0:04:40
527000 -- (-1918.146) (-1932.971) (-1908.158) [-1904.000] * (-1925.951) (-1912.861) (-1922.642) [-1897.046] -- 0:04:40
528000 -- (-1901.749) (-1937.377) (-1914.572) [-1904.200] * (-1916.529) (-1907.117) (-1960.022) [-1908.044] -- 0:04:38
529000 -- (-1908.226) (-1921.904) (-1920.007) [-1906.253] * [-1922.892] (-1912.270) (-1939.550) (-1907.986) -- 0:04:38
530000 -- (-1914.940) [-1909.162] (-1907.185) (-1921.872) * [-1906.793] (-1922.373) (-1924.080) (-1924.946) -- 0:04:37
Average standard deviation of split frequencies: 0.012913
531000 -- (-1933.390) [-1913.379] (-1910.186) (-1910.816) * (-1911.757) (-1919.336) (-1912.307) [-1915.282] -- 0:04:37
532000 -- (-1933.342) (-1913.567) [-1916.763] (-1921.371) * (-1924.336) (-1930.387) (-1915.917) [-1911.510] -- 0:04:36
533000 -- (-1918.268) (-1906.591) [-1915.334] (-1925.419) * (-1909.892) [-1901.986] (-1927.290) (-1916.129) -- 0:04:35
534000 -- (-1935.469) (-1903.624) [-1902.232] (-1917.120) * [-1903.430] (-1929.119) (-1925.321) (-1918.869) -- 0:04:35
535000 -- (-1943.256) [-1912.721] (-1912.767) (-1923.438) * [-1914.400] (-1918.529) (-1928.102) (-1909.702) -- 0:04:34
Average standard deviation of split frequencies: 0.012972
536000 -- (-1912.165) (-1923.870) [-1914.209] (-1906.698) * (-1899.855) (-1914.293) (-1935.659) [-1920.138] -- 0:04:34
537000 -- (-1917.352) (-1928.026) (-1919.909) [-1906.106] * (-1912.819) [-1912.743] (-1930.848) (-1908.805) -- 0:04:33
538000 -- (-1907.324) (-1917.315) (-1915.087) [-1906.524] * (-1911.437) (-1922.564) [-1910.556] (-1915.092) -- 0:04:33
539000 -- [-1913.912] (-1917.629) (-1912.107) (-1915.512) * (-1911.307) [-1912.938] (-1935.392) (-1912.366) -- 0:04:32
540000 -- (-1913.951) (-1931.526) (-1929.351) [-1918.843] * (-1909.288) [-1919.069] (-1940.596) (-1910.904) -- 0:04:31
Average standard deviation of split frequencies: 0.012904
541000 -- [-1901.905] (-1938.305) (-1932.514) (-1910.163) * (-1932.459) (-1909.528) (-1948.535) [-1907.631] -- 0:04:31
542000 -- (-1915.577) (-1921.718) [-1916.975] (-1922.977) * [-1912.317] (-1905.421) (-1927.499) (-1927.812) -- 0:04:30
543000 -- (-1917.903) [-1913.448] (-1910.941) (-1935.434) * [-1906.851] (-1903.390) (-1915.275) (-1920.532) -- 0:04:30
544000 -- (-1921.864) (-1938.601) (-1909.026) [-1909.878] * (-1899.249) [-1912.733] (-1906.066) (-1923.500) -- 0:04:29
545000 -- (-1911.326) (-1930.680) (-1910.530) [-1908.820] * (-1910.278) (-1910.782) [-1905.507] (-1922.547) -- 0:04:28
Average standard deviation of split frequencies: 0.012551
546000 -- [-1910.764] (-1910.011) (-1920.156) (-1914.939) * (-1932.098) (-1920.109) (-1910.387) [-1916.228] -- 0:04:28
547000 -- (-1918.704) (-1910.916) (-1917.380) [-1913.201] * (-1911.246) (-1909.919) (-1909.076) [-1900.200] -- 0:04:27
548000 -- (-1917.575) (-1935.632) (-1916.096) [-1905.643] * (-1920.750) (-1905.581) [-1912.389] (-1928.858) -- 0:04:27
549000 -- (-1924.463) (-1932.105) (-1906.608) [-1908.460] * (-1934.156) [-1906.055] (-1923.847) (-1904.978) -- 0:04:26
550000 -- (-1927.115) (-1923.875) [-1910.050] (-1916.125) * (-1950.225) [-1903.244] (-1915.924) (-1912.792) -- 0:04:25
Average standard deviation of split frequencies: 0.012549
551000 -- (-1922.677) [-1911.308] (-1916.369) (-1916.637) * (-1951.935) (-1932.281) (-1916.918) [-1916.697] -- 0:04:25
552000 -- (-1914.417) (-1923.944) [-1913.136] (-1915.761) * (-1927.646) (-1916.145) (-1909.194) [-1907.817] -- 0:04:24
553000 -- (-1907.029) (-1927.865) (-1912.314) [-1918.898] * (-1922.533) (-1911.789) [-1919.642] (-1903.464) -- 0:04:24
554000 -- (-1942.848) (-1918.394) [-1912.220] (-1918.297) * [-1916.779] (-1910.395) (-1916.992) (-1924.529) -- 0:04:24
555000 -- (-1931.733) (-1918.396) [-1913.256] (-1905.463) * (-1922.323) (-1910.558) [-1905.096] (-1935.671) -- 0:04:22
Average standard deviation of split frequencies: 0.012532
556000 -- (-1932.313) (-1922.729) [-1911.772] (-1897.541) * (-1920.949) [-1906.049] (-1919.562) (-1923.046) -- 0:04:22
557000 -- (-1932.058) (-1935.429) (-1907.854) [-1911.668] * [-1914.827] (-1910.515) (-1934.900) (-1918.071) -- 0:04:21
558000 -- (-1930.519) (-1924.699) [-1902.597] (-1912.615) * (-1913.829) (-1911.196) (-1931.647) [-1912.334] -- 0:04:21
559000 -- (-1909.772) (-1912.793) (-1921.199) [-1903.170] * (-1903.528) (-1909.269) (-1927.489) [-1911.483] -- 0:04:21
560000 -- (-1912.762) (-1923.507) (-1916.967) [-1910.816] * (-1906.627) [-1912.741] (-1941.397) (-1918.062) -- 0:04:20
Average standard deviation of split frequencies: 0.012570
561000 -- (-1920.040) (-1924.921) (-1910.694) [-1905.592] * (-1910.781) [-1898.986] (-1951.669) (-1918.621) -- 0:04:19
562000 -- (-1922.386) (-1912.862) (-1950.198) [-1898.773] * (-1901.967) (-1915.632) [-1928.876] (-1930.854) -- 0:04:18
563000 -- (-1932.669) (-1924.708) (-1920.875) [-1908.340] * [-1907.202] (-1915.138) (-1933.497) (-1935.833) -- 0:04:18
564000 -- (-1913.972) (-1911.548) [-1910.324] (-1951.012) * [-1904.447] (-1905.208) (-1915.457) (-1937.924) -- 0:04:18
565000 -- [-1916.619] (-1901.979) (-1928.705) (-1920.633) * (-1919.921) [-1904.922] (-1902.531) (-1924.451) -- 0:04:17
Average standard deviation of split frequencies: 0.011924
566000 -- (-1911.162) (-1908.489) (-1922.530) [-1900.006] * [-1902.638] (-1915.266) (-1911.361) (-1910.545) -- 0:04:16
567000 -- (-1918.045) (-1928.955) [-1914.857] (-1902.394) * (-1916.780) (-1915.864) (-1939.353) [-1915.926] -- 0:04:15
568000 -- (-1918.423) (-1900.279) [-1911.213] (-1938.873) * (-1907.882) (-1915.730) [-1919.787] (-1926.555) -- 0:04:15
569000 -- [-1904.746] (-1922.328) (-1929.147) (-1943.023) * [-1919.367] (-1916.726) (-1910.023) (-1937.726) -- 0:04:14
570000 -- (-1899.400) [-1894.732] (-1917.945) (-1922.334) * (-1922.853) (-1906.393) [-1926.831] (-1927.561) -- 0:04:14
Average standard deviation of split frequencies: 0.011289
571000 -- (-1911.694) [-1910.249] (-1925.409) (-1909.937) * [-1904.758] (-1923.150) (-1923.241) (-1920.490) -- 0:04:13
572000 -- (-1917.242) [-1914.857] (-1922.256) (-1928.817) * [-1903.611] (-1920.974) (-1916.635) (-1919.269) -- 0:04:12
573000 -- [-1906.896] (-1906.378) (-1921.171) (-1933.474) * (-1907.611) [-1909.531] (-1926.278) (-1917.608) -- 0:04:12
574000 -- (-1911.475) [-1907.918] (-1926.384) (-1911.631) * (-1906.835) [-1904.476] (-1914.456) (-1939.303) -- 0:04:11
575000 -- (-1915.701) (-1915.444) (-1923.892) [-1909.545] * [-1907.636] (-1898.425) (-1935.825) (-1930.213) -- 0:04:11
Average standard deviation of split frequencies: 0.011204
576000 -- (-1914.820) (-1947.135) [-1903.045] (-1923.007) * (-1914.232) (-1926.499) (-1935.127) [-1906.228] -- 0:04:11
577000 -- (-1926.422) (-1924.367) (-1909.980) [-1901.105] * (-1930.631) (-1921.934) (-1920.987) [-1904.613] -- 0:04:09
578000 -- (-1911.958) (-1926.020) (-1925.157) [-1916.024] * (-1927.014) [-1914.181] (-1920.598) (-1898.420) -- 0:04:09
579000 -- (-1915.033) [-1915.600] (-1942.424) (-1926.064) * (-1916.581) [-1903.941] (-1933.105) (-1916.722) -- 0:04:09
580000 -- [-1906.025] (-1917.629) (-1920.573) (-1919.521) * (-1925.203) [-1918.255] (-1931.852) (-1913.596) -- 0:04:08
Average standard deviation of split frequencies: 0.011158
581000 -- (-1904.689) (-1921.574) [-1911.537] (-1924.409) * (-1912.331) [-1908.089] (-1919.795) (-1907.445) -- 0:04:08
582000 -- (-1918.472) (-1936.293) (-1918.094) [-1911.519] * (-1923.795) (-1901.765) (-1905.758) [-1909.487] -- 0:04:07
583000 -- (-1911.375) (-1941.174) (-1921.363) [-1910.432] * (-1911.435) [-1904.589] (-1915.950) (-1924.121) -- 0:04:06
584000 -- [-1904.700] (-1936.030) (-1963.238) (-1909.854) * [-1911.010] (-1912.989) (-1920.432) (-1918.016) -- 0:04:06
585000 -- [-1908.588] (-1947.369) (-1918.994) (-1910.427) * (-1925.618) (-1923.201) [-1902.272] (-1926.023) -- 0:04:05
Average standard deviation of split frequencies: 0.011094
586000 -- [-1909.022] (-1923.790) (-1935.308) (-1906.406) * (-1912.538) (-1913.581) [-1902.032] (-1942.630) -- 0:04:05
587000 -- (-1932.996) (-1920.657) [-1919.095] (-1916.536) * (-1934.080) [-1898.900] (-1911.130) (-1935.385) -- 0:04:04
588000 -- (-1925.309) [-1917.546] (-1923.946) (-1903.815) * (-1925.033) (-1910.875) [-1914.370] (-1925.736) -- 0:04:03
589000 -- (-1932.069) [-1921.874] (-1935.688) (-1908.241) * (-1909.539) (-1921.144) [-1907.636] (-1908.286) -- 0:04:03
590000 -- (-1929.378) (-1920.646) (-1914.789) [-1904.008] * (-1901.095) (-1929.656) [-1905.015] (-1911.910) -- 0:04:02
Average standard deviation of split frequencies: 0.011699
591000 -- (-1916.451) (-1929.112) (-1931.960) [-1902.906] * (-1915.009) (-1921.136) [-1911.201] (-1917.175) -- 0:04:02
592000 -- [-1930.231] (-1926.129) (-1934.889) (-1912.523) * (-1919.194) (-1931.133) [-1911.510] (-1924.627) -- 0:04:01
593000 -- (-1920.828) (-1925.007) (-1930.125) [-1903.342] * (-1910.930) [-1913.931] (-1926.642) (-1932.859) -- 0:04:00
594000 -- (-1923.096) [-1917.331] (-1925.948) (-1924.671) * (-1907.301) [-1910.388] (-1914.923) (-1934.034) -- 0:04:00
595000 -- (-1917.830) (-1911.154) (-1934.512) [-1910.579] * (-1928.435) (-1917.093) [-1909.511] (-1933.290) -- 0:03:59
Average standard deviation of split frequencies: 0.011556
596000 -- (-1918.829) [-1903.525] (-1913.809) (-1923.612) * (-1930.986) [-1908.121] (-1931.402) (-1911.957) -- 0:03:59
597000 -- (-1923.630) [-1900.177] (-1909.650) (-1918.295) * (-1928.111) (-1914.695) (-1920.448) [-1908.223] -- 0:03:58
598000 -- (-1916.761) (-1909.001) (-1919.529) [-1906.396] * [-1907.350] (-1933.280) (-1931.698) (-1913.972) -- 0:03:57
599000 -- (-1938.023) (-1924.550) (-1906.920) [-1904.410] * (-1917.121) (-1927.176) (-1914.529) [-1905.486] -- 0:03:57
600000 -- [-1905.372] (-1922.592) (-1910.548) (-1923.082) * (-1914.119) [-1905.676] (-1926.416) (-1910.419) -- 0:03:56
Average standard deviation of split frequencies: 0.011242
601000 -- (-1905.883) (-1924.923) [-1906.663] (-1910.756) * (-1915.495) [-1909.080] (-1905.698) (-1931.155) -- 0:03:56
602000 -- (-1923.155) (-1931.721) [-1908.062] (-1911.408) * (-1918.516) (-1913.043) [-1904.226] (-1913.305) -- 0:03:55
603000 -- (-1914.046) (-1914.753) (-1924.274) [-1906.655] * [-1912.581] (-1927.395) (-1924.796) (-1916.114) -- 0:03:55
604000 -- (-1928.690) [-1920.112] (-1941.149) (-1923.244) * (-1915.946) (-1918.599) [-1911.058] (-1920.347) -- 0:03:54
605000 -- (-1925.625) (-1910.776) (-1924.464) [-1903.928] * (-1928.071) (-1916.131) [-1906.593] (-1910.556) -- 0:03:53
Average standard deviation of split frequencies: 0.011061
606000 -- (-1903.918) [-1911.744] (-1911.041) (-1914.374) * (-1929.186) (-1914.559) [-1917.398] (-1914.714) -- 0:03:53
607000 -- (-1895.865) (-1929.783) (-1921.475) [-1900.260] * (-1915.853) (-1913.175) (-1913.197) [-1914.550] -- 0:03:52
608000 -- [-1904.175] (-1927.597) (-1916.276) (-1931.230) * (-1915.284) [-1911.603] (-1917.733) (-1938.470) -- 0:03:52
609000 -- (-1906.838) (-1904.645) [-1906.614] (-1944.548) * [-1905.733] (-1910.134) (-1916.419) (-1929.368) -- 0:03:51
610000 -- (-1907.890) [-1919.234] (-1914.496) (-1930.685) * (-1906.516) (-1928.826) [-1922.805] (-1929.271) -- 0:03:50
Average standard deviation of split frequencies: 0.011896
611000 -- (-1907.119) [-1910.138] (-1916.958) (-1924.338) * [-1905.658] (-1935.555) (-1925.603) (-1908.788) -- 0:03:50
612000 -- (-1921.455) (-1922.085) [-1915.489] (-1918.685) * [-1904.984] (-1935.963) (-1922.539) (-1923.607) -- 0:03:49
613000 -- (-1925.638) (-1930.569) [-1910.910] (-1920.165) * (-1923.800) (-1921.771) [-1915.821] (-1915.662) -- 0:03:49
614000 -- [-1904.100] (-1929.310) (-1902.927) (-1934.676) * [-1911.574] (-1907.213) (-1929.288) (-1907.756) -- 0:03:48
615000 -- (-1908.481) (-1913.137) [-1909.074] (-1920.563) * (-1912.843) [-1903.242] (-1921.316) (-1910.450) -- 0:03:47
Average standard deviation of split frequencies: 0.011813
616000 -- (-1920.710) (-1902.532) [-1906.265] (-1911.563) * [-1903.887] (-1899.263) (-1908.580) (-1912.329) -- 0:03:47
617000 -- (-1927.315) (-1914.063) (-1920.463) [-1901.058] * (-1906.748) (-1914.874) [-1909.072] (-1923.902) -- 0:03:46
618000 -- (-1928.164) (-1905.269) [-1903.674] (-1911.560) * (-1915.086) (-1920.398) (-1928.842) [-1907.722] -- 0:03:46
619000 -- [-1903.835] (-1918.160) (-1911.352) (-1942.108) * [-1910.861] (-1938.191) (-1920.318) (-1928.799) -- 0:03:45
620000 -- [-1896.222] (-1902.973) (-1912.104) (-1921.945) * [-1908.328] (-1916.149) (-1934.237) (-1921.716) -- 0:03:44
Average standard deviation of split frequencies: 0.011568
621000 -- [-1912.073] (-1913.486) (-1912.510) (-1938.535) * (-1922.149) [-1913.248] (-1920.524) (-1932.885) -- 0:03:44
622000 -- [-1898.471] (-1933.873) (-1917.716) (-1926.738) * [-1910.915] (-1910.067) (-1915.266) (-1939.646) -- 0:03:43
623000 -- [-1906.102] (-1919.117) (-1914.062) (-1912.008) * (-1923.654) [-1917.594] (-1924.366) (-1939.001) -- 0:03:43
624000 -- (-1912.604) (-1937.667) [-1911.470] (-1913.140) * (-1925.374) (-1918.098) [-1910.277] (-1916.006) -- 0:03:42
625000 -- (-1912.911) (-1920.768) (-1926.665) [-1909.128] * (-1926.943) [-1908.809] (-1914.402) (-1941.187) -- 0:03:42
Average standard deviation of split frequencies: 0.010818
626000 -- (-1925.141) (-1915.210) [-1902.375] (-1922.722) * (-1915.138) [-1908.781] (-1929.972) (-1922.912) -- 0:03:41
627000 -- (-1911.904) (-1906.706) (-1913.305) [-1909.394] * [-1913.781] (-1925.951) (-1939.669) (-1929.450) -- 0:03:40
628000 -- (-1934.108) (-1921.223) (-1907.655) [-1911.155] * (-1905.772) (-1908.172) [-1919.348] (-1918.468) -- 0:03:40
629000 -- (-1925.492) (-1907.258) (-1918.193) [-1901.756] * (-1912.579) (-1910.867) (-1935.943) [-1917.190] -- 0:03:39
630000 -- (-1938.965) (-1922.365) [-1910.701] (-1904.084) * (-1913.973) [-1896.093] (-1927.985) (-1930.143) -- 0:03:39
Average standard deviation of split frequencies: 0.010482
631000 -- (-1930.026) (-1909.775) (-1923.907) [-1912.504] * (-1915.454) (-1902.625) [-1904.225] (-1936.116) -- 0:03:38
632000 -- (-1920.383) (-1909.244) [-1916.611] (-1925.691) * (-1923.872) [-1900.702] (-1929.081) (-1913.148) -- 0:03:37
633000 -- [-1900.290] (-1911.435) (-1912.447) (-1937.229) * [-1912.116] (-1920.194) (-1925.111) (-1901.560) -- 0:03:37
634000 -- [-1903.623] (-1909.487) (-1916.950) (-1941.211) * (-1926.877) (-1909.768) (-1917.721) [-1901.053] -- 0:03:36
635000 -- (-1923.565) (-1919.192) (-1915.722) [-1908.478] * (-1910.810) (-1913.422) (-1927.182) [-1916.419] -- 0:03:36
Average standard deviation of split frequencies: 0.010800
636000 -- (-1925.311) (-1915.554) [-1902.045] (-1909.446) * (-1920.345) (-1915.463) (-1920.377) [-1907.115] -- 0:03:35
637000 -- (-1929.727) (-1919.294) [-1922.165] (-1928.127) * (-1911.252) (-1917.837) [-1907.161] (-1918.849) -- 0:03:34
638000 -- (-1912.318) (-1914.391) (-1904.359) [-1915.929] * (-1920.689) [-1911.612] (-1920.343) (-1927.971) -- 0:03:34
639000 -- (-1921.599) (-1922.199) (-1916.680) [-1914.784] * [-1904.161] (-1928.357) (-1921.526) (-1916.334) -- 0:03:33
640000 -- [-1912.456] (-1917.914) (-1938.556) (-1917.189) * (-1928.504) [-1913.282] (-1914.043) (-1911.317) -- 0:03:33
Average standard deviation of split frequencies: 0.011195
641000 -- [-1907.352] (-1932.609) (-1927.818) (-1940.251) * (-1929.220) (-1922.789) (-1924.832) [-1900.951] -- 0:03:32
642000 -- [-1909.240] (-1912.300) (-1943.929) (-1932.596) * (-1942.059) (-1927.921) [-1903.560] (-1911.264) -- 0:03:31
643000 -- [-1908.102] (-1922.923) (-1919.175) (-1916.673) * (-1926.244) (-1921.930) [-1909.752] (-1932.270) -- 0:03:31
644000 -- [-1898.328] (-1916.804) (-1938.589) (-1909.587) * (-1921.552) [-1910.015] (-1917.046) (-1928.813) -- 0:03:30
645000 -- [-1899.724] (-1926.872) (-1932.719) (-1913.677) * (-1910.605) (-1910.914) [-1911.565] (-1936.421) -- 0:03:30
Average standard deviation of split frequencies: 0.011467
646000 -- [-1908.768] (-1927.466) (-1919.161) (-1938.151) * (-1919.387) [-1897.029] (-1912.873) (-1937.623) -- 0:03:29
647000 -- [-1898.990] (-1915.883) (-1941.499) (-1919.181) * (-1921.927) [-1909.093] (-1912.069) (-1939.105) -- 0:03:28
648000 -- (-1909.772) [-1915.053] (-1927.166) (-1928.480) * (-1947.932) (-1907.655) [-1908.676] (-1923.285) -- 0:03:28
649000 -- [-1907.644] (-1927.187) (-1945.247) (-1912.549) * (-1910.642) (-1913.671) [-1911.944] (-1922.789) -- 0:03:27
650000 -- (-1909.585) (-1926.726) [-1901.315] (-1936.270) * (-1910.280) (-1910.493) [-1902.352] (-1921.849) -- 0:03:27
Average standard deviation of split frequencies: 0.010867
651000 -- [-1909.049] (-1914.860) (-1913.670) (-1940.857) * [-1903.283] (-1913.352) (-1914.985) (-1919.362) -- 0:03:26
652000 -- (-1903.029) (-1917.166) [-1901.262] (-1937.892) * (-1933.756) (-1929.084) [-1913.094] (-1921.084) -- 0:03:26
653000 -- (-1903.713) [-1909.289] (-1917.101) (-1929.492) * [-1910.829] (-1922.577) (-1916.158) (-1918.561) -- 0:03:25
654000 -- (-1926.014) (-1920.451) (-1909.118) [-1906.438] * (-1915.707) (-1922.548) [-1910.328] (-1925.873) -- 0:03:24
655000 -- (-1904.444) [-1916.250] (-1930.933) (-1907.249) * (-1918.171) (-1935.602) [-1899.585] (-1917.872) -- 0:03:24
Average standard deviation of split frequencies: 0.010334
656000 -- (-1918.362) [-1917.885] (-1915.561) (-1915.154) * (-1921.899) (-1925.355) (-1914.669) [-1902.727] -- 0:03:23
657000 -- (-1931.652) (-1917.042) (-1908.220) [-1905.919] * (-1915.913) (-1900.430) (-1915.466) [-1915.402] -- 0:03:23
658000 -- (-1923.957) (-1913.982) [-1905.747] (-1930.504) * [-1906.495] (-1920.932) (-1915.751) (-1922.901) -- 0:03:22
659000 -- (-1924.580) (-1911.046) [-1902.985] (-1918.677) * [-1900.024] (-1897.920) (-1906.650) (-1920.987) -- 0:03:21
660000 -- (-1941.750) [-1907.806] (-1899.869) (-1920.791) * (-1919.499) (-1909.804) (-1915.539) [-1910.356] -- 0:03:21
Average standard deviation of split frequencies: 0.010380
661000 -- (-1922.288) (-1908.626) [-1904.427] (-1941.663) * (-1921.783) (-1917.639) [-1910.397] (-1911.299) -- 0:03:20
662000 -- (-1919.756) (-1922.296) [-1901.017] (-1921.370) * [-1907.032] (-1914.781) (-1898.187) (-1932.072) -- 0:03:20
663000 -- (-1933.089) [-1913.665] (-1904.877) (-1932.150) * [-1904.690] (-1933.734) (-1905.226) (-1924.504) -- 0:03:19
664000 -- [-1910.648] (-1914.386) (-1922.240) (-1912.304) * (-1923.758) (-1917.370) [-1906.737] (-1919.479) -- 0:03:18
665000 -- [-1921.326] (-1915.212) (-1905.882) (-1922.159) * (-1914.972) (-1910.076) (-1905.417) [-1905.797] -- 0:03:18
Average standard deviation of split frequencies: 0.010348
666000 -- (-1911.688) [-1904.023] (-1935.251) (-1940.697) * (-1913.344) (-1927.006) (-1910.320) [-1916.284] -- 0:03:17
667000 -- (-1915.113) (-1916.924) [-1910.299] (-1927.576) * (-1917.206) (-1927.467) [-1918.623] (-1911.857) -- 0:03:17
668000 -- (-1912.397) (-1927.459) [-1912.229] (-1941.330) * (-1910.159) [-1904.745] (-1922.148) (-1913.633) -- 0:03:16
669000 -- (-1924.044) [-1909.587] (-1918.578) (-1920.806) * (-1923.057) [-1910.828] (-1916.081) (-1914.310) -- 0:03:15
670000 -- [-1920.960] (-1927.215) (-1914.010) (-1922.653) * (-1912.917) (-1920.090) [-1907.038] (-1916.416) -- 0:03:15
Average standard deviation of split frequencies: 0.009840
671000 -- [-1911.762] (-1921.729) (-1910.000) (-1928.330) * [-1897.774] (-1910.787) (-1912.461) (-1941.051) -- 0:03:14
672000 -- [-1917.084] (-1918.659) (-1915.893) (-1922.909) * (-1922.322) [-1905.026] (-1906.907) (-1916.496) -- 0:03:14
673000 -- (-1923.285) [-1912.158] (-1904.834) (-1899.635) * (-1909.735) (-1922.029) [-1902.672] (-1902.088) -- 0:03:13
674000 -- (-1923.856) (-1926.076) (-1914.742) [-1904.940] * (-1922.682) (-1919.660) [-1906.988] (-1915.161) -- 0:03:12
675000 -- (-1905.293) (-1904.846) (-1932.301) [-1901.508] * (-1913.543) (-1916.911) (-1930.280) [-1908.536] -- 0:03:12
Average standard deviation of split frequencies: 0.009564
676000 -- (-1910.178) (-1921.690) (-1933.442) [-1900.350] * (-1906.413) (-1923.619) [-1898.191] (-1916.159) -- 0:03:11
677000 -- (-1925.411) (-1926.109) (-1935.764) [-1907.991] * (-1900.912) (-1914.522) (-1907.742) [-1905.214] -- 0:03:11
678000 -- [-1914.681] (-1902.859) (-1931.503) (-1912.084) * [-1905.610] (-1912.581) (-1951.509) (-1907.430) -- 0:03:10
679000 -- (-1919.635) (-1917.286) (-1923.895) [-1905.775] * (-1929.872) (-1904.028) [-1922.838] (-1912.709) -- 0:03:10
680000 -- [-1905.792] (-1922.916) (-1932.800) (-1913.137) * [-1912.048] (-1923.070) (-1929.648) (-1917.338) -- 0:03:09
Average standard deviation of split frequencies: 0.009679
681000 -- [-1917.638] (-1931.612) (-1924.278) (-1902.336) * (-1926.722) (-1918.715) [-1918.220] (-1913.077) -- 0:03:08
682000 -- (-1907.918) (-1920.767) (-1918.620) [-1908.008] * (-1917.805) (-1918.298) [-1912.027] (-1914.887) -- 0:03:08
683000 -- (-1928.353) (-1931.837) (-1910.281) [-1901.400] * (-1909.249) [-1917.248] (-1927.787) (-1920.791) -- 0:03:07
684000 -- [-1919.222] (-1928.410) (-1906.415) (-1926.272) * [-1908.302] (-1919.212) (-1910.636) (-1930.944) -- 0:03:07
685000 -- (-1916.163) (-1926.321) [-1906.787] (-1912.238) * (-1911.326) (-1914.797) (-1914.789) [-1917.359] -- 0:03:06
Average standard deviation of split frequencies: 0.009506
686000 -- (-1920.460) (-1935.025) [-1902.564] (-1901.384) * (-1944.699) (-1907.885) (-1923.978) [-1910.975] -- 0:03:05
687000 -- [-1897.944] (-1924.476) (-1906.180) (-1922.032) * (-1933.931) [-1908.955] (-1924.398) (-1905.126) -- 0:03:05
688000 -- [-1902.555] (-1927.956) (-1911.373) (-1927.806) * (-1936.830) [-1915.605] (-1922.751) (-1905.439) -- 0:03:05
689000 -- (-1908.210) (-1925.960) [-1920.214] (-1911.236) * (-1939.128) [-1905.680] (-1918.276) (-1912.486) -- 0:03:04
690000 -- [-1901.249] (-1932.031) (-1921.395) (-1920.141) * (-1926.997) (-1911.932) (-1919.022) [-1903.136] -- 0:03:03
Average standard deviation of split frequencies: 0.009655
691000 -- (-1917.929) (-1924.685) (-1932.109) [-1914.346] * (-1909.047) [-1906.633] (-1922.482) (-1940.508) -- 0:03:02
692000 -- (-1928.566) (-1924.101) (-1929.832) [-1921.488] * [-1902.014] (-1913.906) (-1923.740) (-1930.695) -- 0:03:02
693000 -- (-1918.292) (-1903.673) (-1930.428) [-1919.504] * [-1907.065] (-1928.848) (-1914.126) (-1920.834) -- 0:03:02
694000 -- (-1925.325) (-1922.618) (-1911.685) [-1900.293] * (-1900.983) (-1937.043) (-1932.494) [-1919.347] -- 0:03:01
695000 -- [-1903.968] (-1923.975) (-1905.882) (-1912.480) * [-1908.506] (-1927.037) (-1917.297) (-1919.282) -- 0:03:00
Average standard deviation of split frequencies: 0.009730
696000 -- (-1914.035) (-1909.439) (-1919.516) [-1912.465] * [-1907.463] (-1928.887) (-1913.285) (-1916.957) -- 0:03:00
697000 -- [-1919.618] (-1923.290) (-1926.420) (-1922.161) * (-1908.793) [-1909.384] (-1919.822) (-1933.035) -- 0:02:59
698000 -- (-1927.081) [-1925.613] (-1918.595) (-1915.463) * (-1905.601) (-1926.794) [-1912.082] (-1916.851) -- 0:02:59
699000 -- [-1907.995] (-1923.656) (-1930.743) (-1924.146) * (-1923.261) (-1924.566) (-1911.189) [-1904.927] -- 0:02:58
700000 -- (-1918.677) [-1916.760] (-1922.629) (-1921.635) * (-1916.385) (-1922.258) (-1912.659) [-1902.807] -- 0:02:57
Average standard deviation of split frequencies: 0.009756
701000 -- [-1914.280] (-1911.281) (-1911.309) (-1907.278) * (-1940.196) (-1907.104) (-1919.125) [-1912.252] -- 0:02:57
702000 -- (-1909.205) [-1907.318] (-1920.200) (-1922.190) * (-1923.366) [-1895.371] (-1915.045) (-1920.301) -- 0:02:56
703000 -- (-1933.721) (-1902.612) (-1921.104) [-1913.929] * (-1925.704) (-1913.748) (-1936.204) [-1909.096] -- 0:02:56
704000 -- (-1926.556) (-1906.809) (-1925.257) [-1905.871] * (-1922.800) (-1919.580) (-1927.495) [-1923.156] -- 0:02:55
705000 -- (-1923.605) (-1925.643) [-1911.840] (-1911.187) * [-1908.196] (-1928.153) (-1941.453) (-1926.978) -- 0:02:54
Average standard deviation of split frequencies: 0.009857
706000 -- (-1934.926) (-1937.601) [-1905.798] (-1926.672) * (-1932.083) (-1915.493) (-1936.943) [-1904.691] -- 0:02:54
707000 -- [-1914.346] (-1925.912) (-1918.277) (-1913.340) * [-1909.404] (-1919.457) (-1921.983) (-1915.708) -- 0:02:53
708000 -- (-1906.963) (-1925.726) [-1915.538] (-1903.870) * (-1922.319) (-1929.103) [-1918.490] (-1915.222) -- 0:02:53
709000 -- (-1917.896) (-1938.068) (-1922.013) [-1915.188] * [-1915.772] (-1913.552) (-1918.347) (-1917.511) -- 0:02:52
710000 -- (-1906.033) (-1938.540) [-1904.460] (-1930.257) * [-1918.141] (-1909.739) (-1924.547) (-1912.528) -- 0:02:51
Average standard deviation of split frequencies: 0.009760
711000 -- (-1899.537) (-1938.654) (-1918.892) [-1918.491] * [-1909.867] (-1905.164) (-1930.860) (-1913.753) -- 0:02:51
712000 -- [-1897.074] (-1929.527) (-1911.821) (-1920.924) * [-1904.749] (-1901.686) (-1924.659) (-1914.147) -- 0:02:50
713000 -- (-1902.464) (-1938.436) (-1915.355) [-1910.823] * [-1912.765] (-1921.237) (-1918.091) (-1924.821) -- 0:02:50
714000 -- [-1901.896] (-1916.260) (-1917.639) (-1915.437) * [-1909.275] (-1908.925) (-1913.027) (-1932.117) -- 0:02:49
715000 -- (-1911.648) (-1908.084) [-1902.834] (-1918.684) * [-1902.921] (-1909.597) (-1911.466) (-1919.598) -- 0:02:49
Average standard deviation of split frequencies: 0.009421
716000 -- (-1922.633) [-1912.365] (-1905.068) (-1926.840) * (-1918.959) [-1917.252] (-1911.874) (-1936.616) -- 0:02:48
717000 -- (-1917.514) (-1916.654) [-1912.646] (-1904.782) * (-1906.994) (-1932.502) [-1913.736] (-1929.883) -- 0:02:47
718000 -- [-1912.507] (-1940.183) (-1910.521) (-1922.467) * [-1912.198] (-1913.347) (-1920.663) (-1915.521) -- 0:02:47
719000 -- [-1905.539] (-1919.659) (-1904.160) (-1918.557) * (-1928.868) (-1912.580) [-1912.196] (-1920.408) -- 0:02:46
720000 -- (-1909.636) [-1905.640] (-1923.960) (-1928.179) * (-1905.909) (-1908.651) [-1916.375] (-1935.481) -- 0:02:46
Average standard deviation of split frequencies: 0.009557
721000 -- (-1900.220) [-1906.102] (-1931.908) (-1936.455) * (-1901.403) (-1925.522) [-1903.754] (-1923.607) -- 0:02:45
722000 -- (-1910.861) [-1907.841] (-1917.328) (-1930.228) * (-1911.791) [-1904.837] (-1927.264) (-1926.762) -- 0:02:44
723000 -- [-1909.388] (-1909.873) (-1916.282) (-1924.816) * (-1912.724) [-1904.756] (-1907.884) (-1915.200) -- 0:02:44
724000 -- (-1915.281) [-1902.649] (-1906.775) (-1906.421) * (-1917.436) (-1906.250) [-1914.229] (-1924.982) -- 0:02:43
725000 -- (-1923.583) (-1914.105) [-1914.767] (-1913.744) * (-1910.158) [-1915.324] (-1920.031) (-1917.497) -- 0:02:43
Average standard deviation of split frequencies: 0.009154
726000 -- (-1920.300) (-1922.043) (-1926.375) [-1901.879] * (-1914.137) (-1919.665) [-1908.320] (-1920.142) -- 0:02:42
727000 -- (-1929.775) [-1906.102] (-1921.586) (-1908.249) * (-1903.131) (-1911.884) [-1910.508] (-1916.040) -- 0:02:41
728000 -- (-1923.042) (-1914.431) (-1917.129) [-1901.739] * (-1908.402) (-1915.570) (-1944.731) [-1903.753] -- 0:02:41
729000 -- (-1932.485) [-1917.177] (-1919.898) (-1899.695) * (-1918.895) (-1912.483) [-1919.880] (-1912.947) -- 0:02:40
730000 -- (-1924.623) (-1918.441) [-1916.188] (-1925.019) * (-1910.200) (-1932.214) (-1926.085) [-1908.494] -- 0:02:40
Average standard deviation of split frequencies: 0.008771
731000 -- (-1918.348) [-1913.911] (-1913.719) (-1905.547) * [-1906.750] (-1906.812) (-1918.298) (-1941.474) -- 0:02:39
732000 -- (-1914.968) [-1908.399] (-1921.054) (-1911.272) * (-1929.775) [-1912.907] (-1906.461) (-1920.167) -- 0:02:38
733000 -- (-1913.712) (-1917.288) [-1912.437] (-1923.009) * (-1920.084) (-1910.722) [-1895.789] (-1921.480) -- 0:02:38
734000 -- (-1919.734) [-1914.847] (-1906.407) (-1916.246) * (-1914.490) (-1915.980) (-1906.287) [-1908.941] -- 0:02:37
735000 -- (-1931.756) (-1908.488) [-1911.727] (-1930.953) * (-1920.821) (-1914.858) [-1906.742] (-1928.854) -- 0:02:37
Average standard deviation of split frequencies: 0.008982
736000 -- (-1916.760) (-1926.403) [-1914.517] (-1928.922) * (-1919.007) (-1909.703) [-1900.390] (-1936.317) -- 0:02:36
737000 -- [-1902.879] (-1916.455) (-1916.521) (-1935.831) * (-1922.933) [-1903.969] (-1924.149) (-1927.657) -- 0:02:35
738000 -- [-1913.147] (-1926.329) (-1915.075) (-1921.621) * (-1923.992) (-1903.119) (-1929.665) [-1904.532] -- 0:02:35
739000 -- (-1907.200) (-1914.308) [-1920.963] (-1933.428) * (-1927.349) (-1903.138) (-1929.748) [-1910.265] -- 0:02:34
740000 -- (-1904.224) (-1916.889) [-1912.283] (-1939.176) * (-1907.765) [-1910.479] (-1933.761) (-1910.733) -- 0:02:34
Average standard deviation of split frequencies: 0.009077
741000 -- (-1918.806) [-1895.799] (-1922.615) (-1916.928) * (-1921.201) (-1921.406) (-1928.734) [-1904.022] -- 0:02:33
742000 -- (-1925.582) (-1917.822) [-1904.129] (-1927.124) * (-1917.666) (-1913.997) (-1924.747) [-1910.688] -- 0:02:32
743000 -- (-1932.453) (-1908.877) [-1911.991] (-1909.753) * (-1925.077) (-1915.877) (-1909.446) [-1908.379] -- 0:02:32
744000 -- (-1921.447) (-1909.549) (-1908.521) [-1902.261] * (-1920.434) (-1919.628) [-1920.015] (-1914.446) -- 0:02:31
745000 -- (-1926.394) (-1902.553) (-1915.953) [-1919.112] * (-1933.282) (-1926.271) [-1900.438] (-1905.897) -- 0:02:31
Average standard deviation of split frequencies: 0.009042
746000 -- (-1931.648) (-1921.481) (-1903.324) [-1904.828] * (-1948.447) [-1903.190] (-1905.696) (-1912.763) -- 0:02:30
747000 -- (-1939.602) [-1928.051] (-1913.134) (-1906.448) * (-1927.275) (-1920.161) (-1909.923) [-1908.063] -- 0:02:30
748000 -- [-1906.944] (-1922.594) (-1910.113) (-1918.794) * (-1936.199) (-1921.106) (-1907.646) [-1902.306] -- 0:02:29
749000 -- (-1926.554) (-1911.469) (-1909.444) [-1909.872] * (-1916.542) (-1912.661) (-1933.555) [-1909.280] -- 0:02:28
750000 -- (-1915.740) (-1911.697) [-1905.061] (-1930.622) * (-1911.947) (-1926.882) (-1921.286) [-1900.279] -- 0:02:28
Average standard deviation of split frequencies: 0.008926
751000 -- (-1949.350) (-1937.890) (-1903.860) [-1915.600] * (-1918.688) (-1921.025) (-1921.241) [-1909.242] -- 0:02:27
752000 -- (-1910.204) [-1906.964] (-1919.935) (-1934.679) * [-1901.683] (-1917.011) (-1913.329) (-1909.612) -- 0:02:27
753000 -- [-1900.887] (-1908.872) (-1922.306) (-1913.945) * (-1923.516) (-1918.761) (-1910.891) [-1912.037] -- 0:02:26
754000 -- (-1915.700) [-1914.728] (-1935.777) (-1903.078) * [-1907.625] (-1940.417) (-1920.438) (-1906.914) -- 0:02:25
755000 -- (-1932.029) (-1914.903) (-1930.407) [-1913.908] * [-1923.496] (-1929.484) (-1925.609) (-1916.870) -- 0:02:25
Average standard deviation of split frequencies: 0.008774
756000 -- [-1908.621] (-1905.809) (-1927.256) (-1911.743) * [-1913.245] (-1939.166) (-1919.829) (-1930.088) -- 0:02:24
757000 -- (-1913.340) (-1929.962) (-1920.280) [-1912.541] * [-1907.610] (-1902.962) (-1924.419) (-1919.924) -- 0:02:24
758000 -- (-1919.689) (-1923.347) [-1903.532] (-1916.511) * (-1915.048) [-1921.562] (-1925.473) (-1917.064) -- 0:02:23
759000 -- [-1916.655] (-1931.316) (-1911.747) (-1920.355) * (-1925.104) (-1925.718) (-1916.581) [-1910.321] -- 0:02:22
760000 -- [-1896.900] (-1940.930) (-1914.230) (-1916.304) * (-1927.900) [-1904.146] (-1907.999) (-1935.174) -- 0:02:22
Average standard deviation of split frequencies: 0.008858
761000 -- (-1916.859) (-1917.366) [-1907.242] (-1926.280) * (-1913.294) (-1923.585) [-1912.008] (-1921.690) -- 0:02:21
762000 -- (-1916.221) [-1901.337] (-1914.552) (-1913.927) * [-1919.522] (-1913.693) (-1910.597) (-1922.477) -- 0:02:21
763000 -- (-1919.905) [-1902.669] (-1934.351) (-1903.802) * (-1913.370) [-1912.791] (-1921.864) (-1928.344) -- 0:02:20
764000 -- (-1909.710) [-1912.476] (-1942.944) (-1920.918) * (-1918.223) [-1906.681] (-1909.542) (-1923.427) -- 0:02:19
765000 -- [-1905.802] (-1910.462) (-1933.452) (-1920.712) * [-1901.056] (-1900.384) (-1909.388) (-1929.169) -- 0:02:19
Average standard deviation of split frequencies: 0.008879
766000 -- [-1904.576] (-1927.188) (-1917.458) (-1938.063) * (-1908.783) [-1906.162] (-1926.264) (-1929.217) -- 0:02:18
767000 -- [-1919.384] (-1917.327) (-1920.218) (-1928.209) * [-1906.272] (-1900.216) (-1918.897) (-1923.544) -- 0:02:18
768000 -- (-1912.488) (-1917.768) [-1912.234] (-1919.094) * (-1923.478) (-1911.516) [-1914.360] (-1926.934) -- 0:02:17
769000 -- (-1916.197) (-1946.931) (-1916.362) [-1910.839] * (-1934.422) [-1924.706] (-1923.751) (-1909.533) -- 0:02:16
770000 -- (-1917.829) (-1926.937) (-1922.478) [-1905.408] * (-1938.767) (-1937.460) (-1912.213) [-1901.276] -- 0:02:16
Average standard deviation of split frequencies: 0.008447
771000 -- (-1926.299) (-1912.165) (-1912.825) [-1906.567] * (-1915.167) (-1949.470) (-1929.668) [-1903.600] -- 0:02:15
772000 -- (-1926.458) [-1905.347] (-1904.755) (-1920.240) * (-1918.742) (-1917.958) (-1906.186) [-1902.660] -- 0:02:15
773000 -- (-1940.339) (-1907.995) [-1906.911] (-1918.208) * (-1909.471) (-1924.662) [-1916.526] (-1918.529) -- 0:02:14
774000 -- (-1943.187) (-1917.643) [-1915.491] (-1923.357) * [-1900.713] (-1927.194) (-1915.152) (-1921.399) -- 0:02:14
775000 -- (-1907.264) (-1914.831) [-1917.313] (-1928.189) * (-1921.368) [-1903.287] (-1910.682) (-1911.077) -- 0:02:13
Average standard deviation of split frequencies: 0.008693
776000 -- [-1909.009] (-1925.517) (-1909.604) (-1918.092) * [-1910.414] (-1910.159) (-1927.216) (-1910.735) -- 0:02:12
777000 -- [-1901.296] (-1939.575) (-1910.072) (-1933.691) * (-1897.891) (-1909.457) (-1928.950) [-1903.452] -- 0:02:12
778000 -- (-1917.071) (-1936.091) (-1912.221) [-1906.673] * (-1914.934) (-1920.245) (-1927.930) [-1911.130] -- 0:02:11
779000 -- (-1920.848) (-1913.410) [-1928.268] (-1922.956) * [-1907.444] (-1929.945) (-1924.861) (-1915.516) -- 0:02:11
780000 -- (-1917.783) [-1915.494] (-1925.909) (-1920.348) * [-1917.507] (-1918.613) (-1928.969) (-1925.500) -- 0:02:10
Average standard deviation of split frequencies: 0.008799
781000 -- [-1905.257] (-1917.727) (-1921.982) (-1913.608) * (-1921.025) (-1931.861) [-1924.941] (-1924.719) -- 0:02:09
782000 -- (-1923.422) [-1908.870] (-1920.903) (-1916.769) * (-1913.206) [-1897.703] (-1925.187) (-1915.692) -- 0:02:09
783000 -- (-1926.042) (-1914.813) (-1918.947) [-1903.153] * (-1933.531) [-1917.239] (-1923.625) (-1912.376) -- 0:02:08
784000 -- (-1913.025) [-1912.189] (-1927.265) (-1927.219) * (-1921.921) (-1907.825) (-1938.861) [-1911.898] -- 0:02:08
785000 -- [-1922.783] (-1919.591) (-1924.435) (-1908.410) * (-1915.759) [-1905.071] (-1920.572) (-1908.905) -- 0:02:07
Average standard deviation of split frequencies: 0.008554
786000 -- (-1921.073) (-1917.014) (-1935.477) [-1905.369] * (-1929.322) (-1902.778) (-1916.385) [-1919.700] -- 0:02:06
787000 -- [-1907.009] (-1917.086) (-1922.256) (-1902.094) * (-1936.599) (-1931.827) (-1919.597) [-1903.857] -- 0:02:06
788000 -- (-1928.151) [-1911.065] (-1924.604) (-1911.418) * (-1915.800) (-1905.346) (-1920.801) [-1909.760] -- 0:02:05
789000 -- (-1941.732) [-1903.096] (-1917.241) (-1907.750) * (-1906.250) [-1913.294] (-1922.138) (-1917.090) -- 0:02:05
790000 -- (-1925.241) [-1899.338] (-1905.436) (-1926.627) * (-1903.633) (-1912.522) (-1915.091) [-1911.494] -- 0:02:04
Average standard deviation of split frequencies: 0.008631
791000 -- [-1913.785] (-1912.627) (-1931.533) (-1924.585) * (-1923.379) (-1924.656) [-1900.484] (-1914.601) -- 0:02:03
792000 -- (-1906.772) [-1920.526] (-1921.396) (-1930.296) * (-1920.387) [-1913.537] (-1913.481) (-1923.432) -- 0:02:03
793000 -- (-1914.982) [-1911.237] (-1903.400) (-1941.363) * (-1917.259) [-1916.079] (-1917.906) (-1920.476) -- 0:02:02
794000 -- [-1915.469] (-1919.330) (-1916.207) (-1925.640) * (-1936.301) (-1919.134) (-1917.526) [-1904.974] -- 0:02:02
795000 -- [-1913.062] (-1926.363) (-1917.638) (-1925.604) * (-1914.703) [-1902.024] (-1912.125) (-1929.032) -- 0:02:01
Average standard deviation of split frequencies: 0.008686
796000 -- [-1906.702] (-1921.171) (-1909.090) (-1909.840) * (-1903.509) [-1912.156] (-1910.621) (-1927.824) -- 0:02:00
797000 -- (-1912.686) [-1913.137] (-1918.475) (-1932.530) * (-1920.754) (-1903.391) (-1907.049) [-1910.921] -- 0:02:00
798000 -- (-1915.706) [-1909.476] (-1909.103) (-1948.943) * (-1932.133) [-1905.775] (-1909.224) (-1922.502) -- 0:01:59
799000 -- (-1919.213) (-1899.005) [-1907.194] (-1916.913) * (-1920.959) (-1914.572) (-1904.598) [-1921.464] -- 0:01:59
800000 -- (-1943.436) [-1908.491] (-1921.322) (-1909.883) * (-1909.634) (-1925.868) [-1903.199] (-1926.433) -- 0:01:58
Average standard deviation of split frequencies: 0.008544
801000 -- (-1911.693) [-1916.034] (-1931.455) (-1922.009) * (-1919.930) [-1915.110] (-1914.381) (-1912.919) -- 0:01:58
802000 -- (-1908.936) [-1904.462] (-1935.906) (-1907.771) * (-1929.845) [-1906.750] (-1916.564) (-1908.000) -- 0:01:57
803000 -- [-1913.028] (-1916.936) (-1942.687) (-1912.770) * (-1928.251) (-1907.378) (-1927.062) [-1919.251] -- 0:01:56
804000 -- (-1911.671) (-1922.477) (-1937.473) [-1914.958] * (-1917.161) [-1910.485] (-1914.994) (-1929.701) -- 0:01:56
805000 -- (-1918.891) (-1916.191) (-1922.001) [-1901.611] * (-1923.440) (-1917.621) (-1930.160) [-1903.627] -- 0:01:55
Average standard deviation of split frequencies: 0.008231
806000 -- (-1918.445) (-1918.721) [-1909.442] (-1929.470) * (-1922.697) [-1914.971] (-1926.735) (-1918.045) -- 0:01:55
807000 -- (-1953.175) (-1924.501) (-1930.486) [-1909.329] * (-1922.740) (-1929.226) [-1920.412] (-1926.547) -- 0:01:54
808000 -- [-1899.174] (-1917.689) (-1947.912) (-1912.610) * (-1921.746) (-1945.991) (-1911.114) [-1902.177] -- 0:01:53
809000 -- [-1906.526] (-1910.954) (-1931.196) (-1921.993) * [-1909.886] (-1931.395) (-1916.217) (-1910.273) -- 0:01:53
810000 -- (-1920.602) (-1916.328) (-1925.563) [-1922.199] * (-1905.278) (-1942.555) [-1909.504] (-1923.032) -- 0:01:52
Average standard deviation of split frequencies: 0.008453
811000 -- (-1917.165) (-1936.795) (-1916.054) [-1910.967] * (-1929.626) (-1915.607) [-1900.204] (-1917.300) -- 0:01:52
812000 -- [-1910.069] (-1922.393) (-1931.634) (-1923.371) * (-1918.843) (-1904.669) [-1911.778] (-1917.385) -- 0:01:51
813000 -- (-1909.029) (-1919.452) (-1921.987) [-1905.642] * (-1911.284) (-1917.835) [-1904.918] (-1926.012) -- 0:01:50
814000 -- (-1914.207) [-1910.907] (-1918.556) (-1916.647) * (-1917.865) (-1921.727) [-1906.830] (-1943.206) -- 0:01:50
815000 -- (-1921.972) [-1902.841] (-1918.937) (-1903.231) * (-1921.118) (-1909.798) [-1909.504] (-1916.969) -- 0:01:49
Average standard deviation of split frequencies: 0.008849
816000 -- [-1907.834] (-1940.577) (-1911.842) (-1915.645) * (-1915.637) (-1912.681) (-1909.768) [-1912.071] -- 0:01:49
817000 -- (-1925.604) [-1909.710] (-1920.347) (-1923.155) * (-1921.860) [-1902.752] (-1920.123) (-1901.778) -- 0:01:48
818000 -- (-1910.991) (-1929.871) (-1918.166) [-1906.676] * (-1928.503) [-1901.581] (-1936.615) (-1923.165) -- 0:01:47
819000 -- [-1904.664] (-1923.017) (-1904.104) (-1919.319) * (-1947.923) [-1912.736] (-1915.294) (-1908.637) -- 0:01:47
820000 -- (-1898.261) (-1923.928) (-1933.253) [-1919.096] * (-1935.648) (-1928.561) [-1914.037] (-1914.411) -- 0:01:46
Average standard deviation of split frequencies: 0.008840
821000 -- [-1914.718] (-1930.875) (-1920.985) (-1913.849) * (-1945.165) (-1903.760) [-1921.226] (-1914.747) -- 0:01:46
822000 -- (-1918.873) (-1926.194) (-1931.316) [-1902.830] * (-1928.409) [-1900.095] (-1917.930) (-1910.419) -- 0:01:45
823000 -- (-1916.470) (-1914.445) (-1914.782) [-1901.701] * (-1926.982) [-1911.973] (-1928.275) (-1904.960) -- 0:01:44
824000 -- (-1931.290) (-1908.708) (-1924.289) [-1914.982] * (-1910.064) (-1916.229) (-1912.121) [-1910.181] -- 0:01:44
825000 -- (-1927.921) [-1923.487] (-1918.340) (-1905.170) * (-1927.746) [-1909.868] (-1914.386) (-1941.602) -- 0:01:43
Average standard deviation of split frequencies: 0.008832
826000 -- (-1927.773) (-1927.478) (-1927.439) [-1906.635] * (-1915.490) [-1906.955] (-1913.842) (-1920.968) -- 0:01:43
827000 -- (-1909.303) [-1916.608] (-1921.371) (-1903.483) * [-1910.503] (-1915.707) (-1915.080) (-1900.237) -- 0:01:42
828000 -- (-1907.961) (-1924.650) [-1912.630] (-1915.307) * (-1911.418) (-1919.122) (-1931.335) [-1903.218] -- 0:01:42
829000 -- (-1910.815) (-1931.069) (-1936.575) [-1913.201] * [-1906.511] (-1928.992) (-1922.933) (-1898.164) -- 0:01:41
830000 -- [-1905.075] (-1914.083) (-1921.712) (-1915.073) * [-1911.899] (-1920.813) (-1922.737) (-1917.878) -- 0:01:40
Average standard deviation of split frequencies: 0.008931
831000 -- (-1915.613) (-1934.395) [-1920.282] (-1919.557) * [-1908.450] (-1910.072) (-1929.201) (-1918.026) -- 0:01:40
832000 -- (-1919.375) (-1922.046) [-1913.554] (-1927.805) * (-1909.139) (-1921.556) (-1922.690) [-1910.448] -- 0:01:39
833000 -- (-1945.703) (-1910.688) [-1907.184] (-1930.175) * [-1906.674] (-1926.747) (-1911.893) (-1922.606) -- 0:01:39
834000 -- [-1901.537] (-1908.024) (-1918.652) (-1940.300) * (-1905.410) (-1927.902) (-1918.804) [-1906.156] -- 0:01:38
835000 -- (-1938.364) [-1906.421] (-1919.083) (-1930.856) * [-1901.196] (-1903.903) (-1904.319) (-1928.866) -- 0:01:38
Average standard deviation of split frequencies: 0.008582
836000 -- (-1923.587) [-1900.870] (-1922.838) (-1921.092) * (-1909.725) (-1930.229) [-1904.547] (-1918.516) -- 0:01:37
837000 -- (-1917.831) [-1913.002] (-1913.999) (-1924.069) * (-1905.638) [-1921.223] (-1913.188) (-1916.881) -- 0:01:36
838000 -- (-1919.193) (-1935.049) (-1916.334) [-1911.281] * [-1902.017] (-1927.685) (-1918.266) (-1922.307) -- 0:01:36
839000 -- [-1912.511] (-1909.199) (-1914.528) (-1927.915) * (-1905.055) [-1901.467] (-1918.611) (-1930.351) -- 0:01:35
840000 -- (-1941.497) (-1902.125) [-1910.344] (-1922.861) * (-1921.258) (-1906.949) [-1920.554] (-1912.022) -- 0:01:35
Average standard deviation of split frequencies: 0.008302
841000 -- (-1906.279) (-1910.495) (-1909.935) [-1920.272] * (-1902.192) [-1904.784] (-1929.235) (-1931.135) -- 0:01:34
842000 -- (-1908.579) (-1926.912) [-1898.567] (-1924.976) * (-1907.993) [-1902.354] (-1926.728) (-1919.405) -- 0:01:33
843000 -- (-1912.105) (-1916.167) [-1911.165] (-1914.108) * (-1916.031) [-1905.406] (-1927.120) (-1910.384) -- 0:01:33
844000 -- [-1909.822] (-1922.194) (-1905.715) (-1911.952) * (-1925.557) [-1903.102] (-1929.667) (-1926.583) -- 0:01:32
845000 -- (-1917.467) (-1926.764) [-1907.798] (-1920.331) * (-1920.694) (-1918.802) [-1915.463] (-1905.905) -- 0:01:32
Average standard deviation of split frequencies: 0.008073
846000 -- (-1930.706) (-1926.749) [-1919.272] (-1917.424) * (-1910.483) [-1906.849] (-1916.708) (-1918.838) -- 0:01:31
847000 -- (-1936.404) (-1935.062) (-1922.123) [-1917.895] * (-1910.165) [-1904.785] (-1913.106) (-1929.417) -- 0:01:30
848000 -- (-1918.632) (-1927.189) [-1905.229] (-1923.191) * [-1908.620] (-1911.174) (-1927.493) (-1922.723) -- 0:01:30
849000 -- (-1915.182) (-1923.298) [-1910.777] (-1920.612) * (-1912.630) (-1914.023) [-1917.458] (-1927.328) -- 0:01:29
850000 -- [-1899.460] (-1935.104) (-1924.258) (-1911.378) * (-1911.357) (-1928.742) [-1907.780] (-1916.507) -- 0:01:29
Average standard deviation of split frequencies: 0.008029
851000 -- [-1899.227] (-1920.892) (-1915.063) (-1922.869) * (-1912.676) (-1937.854) [-1911.232] (-1917.846) -- 0:01:28
852000 -- (-1922.411) (-1908.090) (-1933.903) [-1924.382] * (-1929.700) (-1944.556) (-1910.314) [-1914.858] -- 0:01:27
853000 -- (-1915.771) (-1901.454) (-1924.824) [-1916.665] * (-1916.430) (-1914.611) [-1905.816] (-1916.345) -- 0:01:27
854000 -- [-1906.159] (-1910.835) (-1916.516) (-1935.508) * (-1913.514) (-1903.064) [-1910.548] (-1949.245) -- 0:01:26
855000 -- [-1901.408] (-1913.235) (-1923.739) (-1929.775) * (-1919.534) [-1911.179] (-1911.869) (-1944.727) -- 0:01:26
Average standard deviation of split frequencies: 0.008193
856000 -- (-1907.028) [-1905.765] (-1932.908) (-1920.313) * (-1929.725) [-1909.864] (-1922.855) (-1919.206) -- 0:01:25
857000 -- (-1932.232) [-1903.739] (-1933.355) (-1906.483) * (-1940.781) (-1917.592) [-1916.035] (-1930.242) -- 0:01:24
858000 -- (-1931.504) (-1925.140) [-1926.734] (-1921.105) * (-1952.539) [-1908.452] (-1905.281) (-1917.651) -- 0:01:24
859000 -- (-1931.203) (-1929.338) (-1926.136) [-1903.254] * (-1925.050) (-1918.301) (-1924.962) [-1916.651] -- 0:01:23
860000 -- (-1909.624) [-1916.805] (-1926.533) (-1912.863) * [-1911.339] (-1914.409) (-1912.255) (-1925.365) -- 0:01:23
Average standard deviation of split frequencies: 0.007962
861000 -- (-1918.724) (-1907.823) (-1930.693) [-1913.136] * (-1915.734) (-1925.732) (-1914.931) [-1914.066] -- 0:01:22
862000 -- (-1934.407) (-1936.084) [-1908.245] (-1907.022) * [-1909.197] (-1906.124) (-1922.009) (-1907.680) -- 0:01:21
863000 -- (-1931.918) (-1938.701) [-1915.559] (-1907.904) * [-1908.405] (-1920.631) (-1933.647) (-1910.095) -- 0:01:21
864000 -- (-1914.812) (-1947.096) [-1905.996] (-1923.554) * (-1922.629) (-1925.878) (-1915.806) [-1919.528] -- 0:01:20
865000 -- (-1903.564) (-1932.193) [-1916.869] (-1921.502) * (-1930.022) (-1926.367) [-1916.279] (-1918.265) -- 0:01:20
Average standard deviation of split frequencies: 0.007958
866000 -- (-1909.109) (-1922.531) [-1909.069] (-1933.850) * (-1931.165) (-1911.925) (-1917.810) [-1910.926] -- 0:01:19
867000 -- (-1914.280) (-1919.451) (-1910.821) [-1908.221] * [-1906.956] (-1916.288) (-1920.937) (-1919.780) -- 0:01:19
868000 -- [-1914.558] (-1930.173) (-1908.261) (-1913.814) * [-1909.090] (-1926.409) (-1917.630) (-1919.214) -- 0:01:18
869000 -- (-1917.698) [-1923.117] (-1917.821) (-1923.447) * [-1896.768] (-1926.125) (-1923.073) (-1934.716) -- 0:01:17
870000 -- [-1914.521] (-1916.044) (-1925.896) (-1914.225) * [-1900.901] (-1929.008) (-1914.250) (-1945.970) -- 0:01:17
Average standard deviation of split frequencies: 0.008121
871000 -- (-1921.490) (-1924.963) (-1908.205) [-1907.312] * (-1911.516) [-1910.841] (-1917.505) (-1899.983) -- 0:01:16
872000 -- (-1923.396) (-1926.524) [-1912.812] (-1928.489) * (-1915.511) (-1908.804) (-1914.234) [-1899.955] -- 0:01:16
873000 -- (-1921.132) (-1955.116) [-1904.626] (-1932.960) * (-1937.917) [-1914.357] (-1931.381) (-1907.923) -- 0:01:15
874000 -- (-1913.264) [-1905.459] (-1923.982) (-1934.344) * (-1939.114) (-1906.035) (-1918.989) [-1907.096] -- 0:01:14
875000 -- (-1920.612) [-1904.302] (-1930.657) (-1930.319) * (-1926.150) (-1938.652) [-1915.755] (-1926.439) -- 0:01:14
Average standard deviation of split frequencies: 0.008558
876000 -- (-1921.903) [-1905.767] (-1917.479) (-1919.650) * (-1936.747) (-1919.646) [-1925.098] (-1931.409) -- 0:01:13
877000 -- (-1950.896) (-1916.246) [-1904.834] (-1922.351) * (-1926.515) (-1916.714) [-1903.744] (-1925.890) -- 0:01:13
878000 -- [-1918.680] (-1913.711) (-1919.095) (-1914.136) * (-1931.371) [-1900.335] (-1913.970) (-1905.499) -- 0:01:12
879000 -- (-1926.443) (-1905.379) (-1916.433) [-1915.342] * (-1914.044) (-1927.256) (-1924.460) [-1905.039] -- 0:01:11
880000 -- (-1913.635) [-1909.381] (-1910.657) (-1912.013) * (-1913.476) [-1906.705] (-1920.783) (-1917.326) -- 0:01:11
Average standard deviation of split frequencies: 0.008225
881000 -- [-1904.871] (-1912.303) (-1926.153) (-1918.683) * (-1909.551) [-1902.973] (-1905.865) (-1918.662) -- 0:01:10
882000 -- [-1903.949] (-1915.286) (-1925.411) (-1918.187) * (-1908.098) [-1913.723] (-1922.577) (-1930.350) -- 0:01:10
883000 -- (-1925.228) [-1911.411] (-1946.191) (-1926.647) * (-1928.501) [-1899.513] (-1923.446) (-1938.331) -- 0:01:09
884000 -- [-1921.424] (-1914.221) (-1946.670) (-1915.859) * (-1920.035) [-1905.625] (-1925.384) (-1917.652) -- 0:01:08
885000 -- (-1918.589) [-1901.224] (-1937.442) (-1917.598) * (-1913.752) (-1915.477) [-1907.235] (-1925.759) -- 0:01:08
Average standard deviation of split frequencies: 0.008310
886000 -- [-1909.871] (-1908.160) (-1939.340) (-1939.744) * [-1908.768] (-1917.765) (-1917.685) (-1906.453) -- 0:01:07
887000 -- (-1930.345) [-1930.601] (-1914.787) (-1922.582) * (-1921.005) [-1908.307] (-1912.569) (-1922.702) -- 0:01:07
888000 -- (-1928.307) (-1935.028) (-1921.384) [-1912.843] * (-1932.103) [-1905.931] (-1920.037) (-1943.130) -- 0:01:06
889000 -- (-1923.908) (-1922.091) (-1920.140) [-1903.209] * (-1932.479) (-1916.930) [-1914.915] (-1920.473) -- 0:01:05
890000 -- (-1908.054) (-1906.547) [-1908.301] (-1916.663) * (-1923.401) (-1922.232) (-1911.867) [-1910.275] -- 0:01:05
Average standard deviation of split frequencies: 0.008305
891000 -- (-1917.368) [-1903.668] (-1918.230) (-1917.587) * (-1924.006) (-1931.707) (-1913.962) [-1911.332] -- 0:01:04
892000 -- (-1920.479) (-1907.591) (-1937.738) [-1910.273] * (-1913.415) [-1916.547] (-1928.182) (-1899.373) -- 0:01:04
893000 -- (-1903.986) (-1915.223) (-1923.188) [-1916.362] * (-1925.797) (-1922.180) (-1916.387) [-1908.210] -- 0:01:03
894000 -- (-1913.687) (-1920.919) [-1914.493] (-1929.492) * (-1920.754) (-1916.549) [-1901.824] (-1910.404) -- 0:01:02
895000 -- (-1923.543) (-1935.319) (-1906.046) [-1913.660] * [-1909.963] (-1914.835) (-1913.214) (-1928.847) -- 0:01:02
Average standard deviation of split frequencies: 0.008305
896000 -- (-1922.004) [-1912.464] (-1907.168) (-1935.686) * (-1912.923) (-1921.565) [-1908.661] (-1928.152) -- 0:01:01
897000 -- (-1918.074) (-1927.988) [-1908.221] (-1926.557) * [-1912.421] (-1923.748) (-1920.075) (-1926.241) -- 0:01:01
898000 -- [-1916.782] (-1927.433) (-1906.607) (-1940.469) * (-1912.403) (-1917.023) (-1928.444) [-1914.516] -- 0:01:00
899000 -- (-1917.179) (-1923.690) [-1910.050] (-1919.871) * [-1910.301] (-1921.969) (-1926.719) (-1924.103) -- 0:00:59
900000 -- (-1921.420) [-1910.451] (-1924.961) (-1925.666) * (-1926.259) [-1905.667] (-1911.528) (-1933.893) -- 0:00:59
Average standard deviation of split frequencies: 0.008183
901000 -- (-1899.686) [-1902.927] (-1929.311) (-1930.555) * [-1921.507] (-1922.976) (-1910.179) (-1911.723) -- 0:00:58
902000 -- (-1902.413) [-1914.051] (-1918.713) (-1927.296) * (-1898.591) (-1904.282) (-1936.941) [-1900.631] -- 0:00:58
903000 -- (-1904.151) (-1924.014) (-1916.493) [-1913.830] * (-1904.195) [-1903.965] (-1932.215) (-1926.415) -- 0:00:57
904000 -- [-1896.949] (-1907.103) (-1918.622) (-1908.873) * (-1912.195) [-1906.409] (-1931.115) (-1920.873) -- 0:00:57
905000 -- [-1907.449] (-1920.982) (-1920.763) (-1906.657) * (-1917.308) [-1909.143] (-1921.235) (-1922.885) -- 0:00:56
Average standard deviation of split frequencies: 0.008350
906000 -- (-1917.734) [-1921.323] (-1914.253) (-1920.130) * [-1908.821] (-1924.585) (-1910.415) (-1938.024) -- 0:00:55
907000 -- (-1906.695) (-1928.767) (-1932.686) [-1911.555] * [-1914.963] (-1916.348) (-1912.523) (-1929.885) -- 0:00:55
908000 -- (-1921.582) (-1914.085) (-1925.805) [-1907.276] * [-1916.835] (-1928.771) (-1922.682) (-1942.048) -- 0:00:54
909000 -- [-1899.894] (-1918.312) (-1936.487) (-1909.078) * (-1914.772) (-1938.514) [-1909.294] (-1923.788) -- 0:00:54
910000 -- [-1915.000] (-1921.666) (-1935.971) (-1928.512) * [-1907.550] (-1929.648) (-1926.364) (-1910.549) -- 0:00:53
Average standard deviation of split frequencies: 0.008800
911000 -- (-1911.664) (-1931.452) (-1939.515) [-1917.538] * (-1906.281) (-1942.096) [-1906.920] (-1904.418) -- 0:00:52
912000 -- [-1923.195] (-1933.440) (-1918.730) (-1906.490) * (-1903.183) (-1907.728) (-1941.892) [-1905.734] -- 0:00:52
913000 -- (-1918.742) (-1930.083) (-1924.394) [-1905.203] * (-1901.398) [-1906.768] (-1916.073) (-1921.563) -- 0:00:51
914000 -- [-1905.538] (-1926.638) (-1948.048) (-1911.499) * [-1910.628] (-1913.420) (-1907.132) (-1910.687) -- 0:00:51
915000 -- (-1909.328) (-1933.570) [-1909.830] (-1909.869) * [-1912.779] (-1927.884) (-1935.245) (-1916.603) -- 0:00:50
Average standard deviation of split frequencies: 0.009163
916000 -- [-1908.734] (-1912.529) (-1907.578) (-1908.312) * (-1920.488) [-1921.873] (-1926.661) (-1932.377) -- 0:00:49
917000 -- (-1925.889) (-1920.555) [-1909.872] (-1918.913) * (-1920.257) (-1927.325) (-1928.749) [-1915.378] -- 0:00:49
918000 -- (-1915.536) (-1943.680) [-1920.968] (-1925.979) * (-1917.452) (-1930.718) (-1938.963) [-1913.050] -- 0:00:48
919000 -- (-1924.996) (-1947.738) (-1910.685) [-1908.518] * [-1907.007] (-1936.602) (-1916.445) (-1900.528) -- 0:00:48
920000 -- (-1928.135) (-1914.800) [-1904.742] (-1905.637) * (-1909.535) (-1939.710) (-1910.097) [-1903.157] -- 0:00:47
Average standard deviation of split frequencies: 0.009017
921000 -- (-1926.553) (-1946.494) (-1906.895) [-1911.709] * (-1904.678) (-1927.119) (-1925.313) [-1899.034] -- 0:00:46
922000 -- (-1938.070) (-1939.749) (-1912.500) [-1903.815] * [-1916.151] (-1931.571) (-1912.425) (-1913.370) -- 0:00:46
923000 -- (-1923.634) (-1927.492) (-1908.566) [-1912.534] * (-1925.285) (-1920.471) (-1903.972) [-1913.392] -- 0:00:45
924000 -- (-1920.882) (-1915.459) [-1909.310] (-1905.583) * (-1908.125) (-1933.628) (-1911.452) [-1913.514] -- 0:00:45
925000 -- (-1911.906) [-1914.339] (-1923.116) (-1918.151) * (-1928.805) (-1929.348) (-1908.902) [-1907.641] -- 0:00:44
Average standard deviation of split frequencies: 0.008940
926000 -- [-1896.943] (-1921.745) (-1926.910) (-1922.066) * (-1931.497) (-1931.219) (-1913.760) [-1908.258] -- 0:00:43
927000 -- [-1906.850] (-1911.334) (-1923.221) (-1923.114) * (-1922.243) (-1931.567) [-1909.992] (-1914.389) -- 0:00:43
928000 -- [-1904.030] (-1917.870) (-1918.537) (-1927.275) * (-1913.418) (-1927.367) [-1913.083] (-1916.080) -- 0:00:42
929000 -- (-1921.281) [-1906.273] (-1925.795) (-1916.811) * (-1921.077) (-1925.456) (-1906.407) [-1905.610] -- 0:00:42
930000 -- (-1919.596) [-1912.994] (-1923.669) (-1909.961) * (-1921.249) (-1935.359) (-1915.276) [-1903.232] -- 0:00:41
Average standard deviation of split frequencies: 0.008961
931000 -- [-1912.708] (-1929.779) (-1914.000) (-1911.539) * (-1928.137) (-1918.213) [-1898.416] (-1901.577) -- 0:00:40
932000 -- (-1918.390) (-1910.175) [-1905.177] (-1904.450) * (-1922.899) [-1921.060] (-1907.539) (-1914.205) -- 0:00:40
933000 -- (-1917.121) (-1925.286) (-1904.439) [-1907.673] * (-1930.294) [-1910.689] (-1911.491) (-1905.882) -- 0:00:39
934000 -- (-1900.867) (-1922.501) (-1927.353) [-1907.152] * (-1925.042) [-1912.529] (-1939.599) (-1912.592) -- 0:00:39
935000 -- (-1910.241) [-1905.652] (-1918.119) (-1905.159) * [-1918.335] (-1911.871) (-1933.500) (-1906.419) -- 0:00:38
Average standard deviation of split frequencies: 0.008955
936000 -- (-1913.310) [-1912.870] (-1904.589) (-1915.688) * (-1914.165) (-1907.852) (-1932.029) [-1922.745] -- 0:00:38
937000 -- (-1930.888) (-1921.225) (-1920.005) [-1902.363] * [-1896.869] (-1917.728) (-1929.372) (-1913.876) -- 0:00:37
938000 -- (-1925.579) (-1907.451) (-1921.866) [-1900.391] * [-1906.796] (-1913.384) (-1917.773) (-1924.693) -- 0:00:36
939000 -- (-1907.819) (-1943.302) (-1923.548) [-1910.214] * [-1908.102] (-1927.200) (-1913.260) (-1942.134) -- 0:00:36
940000 -- [-1911.839] (-1925.317) (-1926.270) (-1911.384) * (-1909.819) (-1926.720) [-1910.688] (-1952.865) -- 0:00:35
Average standard deviation of split frequencies: 0.008776
941000 -- [-1905.566] (-1903.938) (-1924.621) (-1921.639) * [-1914.386] (-1915.622) (-1919.482) (-1916.622) -- 0:00:35
942000 -- [-1905.425] (-1924.194) (-1925.949) (-1912.477) * (-1915.479) (-1910.563) (-1926.261) [-1908.411] -- 0:00:34
943000 -- (-1933.619) [-1904.703] (-1911.911) (-1906.843) * (-1929.833) (-1929.240) (-1906.747) [-1917.370] -- 0:00:33
944000 -- (-1927.089) (-1919.197) [-1897.413] (-1900.829) * [-1909.326] (-1916.460) (-1925.253) (-1915.579) -- 0:00:33
945000 -- (-1944.251) (-1921.178) (-1907.213) [-1912.391] * (-1907.730) (-1914.540) (-1934.508) [-1909.426] -- 0:00:32
Average standard deviation of split frequencies: 0.008685
946000 -- (-1931.898) (-1912.275) [-1899.861] (-1909.019) * [-1901.389] (-1921.796) (-1945.075) (-1906.287) -- 0:00:32
947000 -- [-1921.297] (-1935.171) (-1911.957) (-1924.339) * (-1910.614) (-1929.229) (-1925.148) [-1901.389] -- 0:00:31
948000 -- (-1916.171) [-1906.451] (-1934.261) (-1921.605) * [-1917.995] (-1931.061) (-1926.465) (-1921.743) -- 0:00:30
949000 -- [-1909.731] (-1910.635) (-1922.165) (-1942.152) * [-1915.824] (-1938.834) (-1919.959) (-1924.943) -- 0:00:30
950000 -- (-1917.598) [-1933.707] (-1918.157) (-1907.565) * [-1906.224] (-1929.684) (-1922.229) (-1922.260) -- 0:00:29
Average standard deviation of split frequencies: 0.008583
951000 -- (-1905.468) (-1933.122) [-1916.255] (-1919.628) * [-1906.408] (-1913.343) (-1932.621) (-1927.260) -- 0:00:29
952000 -- [-1909.998] (-1923.034) (-1908.214) (-1908.905) * [-1900.253] (-1918.276) (-1921.579) (-1924.466) -- 0:00:28
953000 -- (-1915.433) (-1904.297) (-1917.497) [-1904.730] * [-1909.529] (-1921.505) (-1924.919) (-1922.352) -- 0:00:27
954000 -- (-1914.305) (-1918.116) (-1915.474) [-1910.723] * [-1899.763] (-1917.245) (-1908.723) (-1923.910) -- 0:00:27
955000 -- (-1914.927) [-1903.456] (-1914.271) (-1918.322) * (-1927.879) (-1917.410) (-1910.182) [-1916.049] -- 0:00:26
Average standard deviation of split frequencies: 0.008635
956000 -- (-1926.024) (-1930.685) [-1906.602] (-1911.626) * (-1921.485) (-1928.806) (-1933.073) [-1915.123] -- 0:00:26
957000 -- (-1918.264) (-1939.018) [-1904.350] (-1920.571) * [-1906.413] (-1932.659) (-1904.944) (-1928.807) -- 0:00:25
958000 -- (-1915.417) (-1922.071) [-1910.066] (-1929.476) * [-1914.285] (-1917.783) (-1914.364) (-1907.096) -- 0:00:24
959000 -- (-1917.643) [-1906.513] (-1903.330) (-1928.695) * (-1909.879) (-1917.435) [-1910.511] (-1915.607) -- 0:00:24
960000 -- (-1912.172) (-1918.848) (-1912.327) [-1900.293] * (-1916.629) (-1912.636) [-1901.144] (-1918.296) -- 0:00:23
Average standard deviation of split frequencies: 0.008701
961000 -- (-1907.478) [-1915.276] (-1926.637) (-1904.733) * (-1942.406) [-1907.244] (-1920.873) (-1931.835) -- 0:00:23
962000 -- (-1909.417) [-1909.974] (-1934.142) (-1916.469) * (-1925.034) (-1915.131) [-1907.361] (-1933.563) -- 0:00:22
963000 -- [-1915.022] (-1920.546) (-1908.060) (-1916.179) * [-1915.685] (-1922.814) (-1904.649) (-1926.543) -- 0:00:21
964000 -- (-1911.645) [-1902.530] (-1911.645) (-1933.827) * (-1910.925) (-1938.118) (-1904.258) [-1920.716] -- 0:00:21
965000 -- (-1908.211) [-1905.334] (-1927.369) (-1949.350) * [-1908.348] (-1933.712) (-1924.092) (-1910.480) -- 0:00:20
Average standard deviation of split frequencies: 0.008748
966000 -- (-1931.571) (-1918.274) (-1916.190) [-1917.649] * (-1910.225) (-1917.627) [-1922.317] (-1915.072) -- 0:00:20
967000 -- (-1916.695) [-1898.112] (-1922.631) (-1920.965) * (-1923.233) [-1917.371] (-1915.920) (-1923.418) -- 0:00:19
968000 -- (-1919.897) [-1904.074] (-1922.283) (-1932.776) * (-1942.334) (-1914.645) (-1923.886) [-1921.485] -- 0:00:19
969000 -- (-1917.326) [-1908.060] (-1913.440) (-1923.990) * (-1919.202) [-1909.802] (-1905.751) (-1928.491) -- 0:00:18
970000 -- [-1904.678] (-1910.749) (-1924.255) (-1930.697) * [-1908.144] (-1910.028) (-1919.715) (-1911.768) -- 0:00:17
Average standard deviation of split frequencies: 0.008669
971000 -- (-1933.446) [-1902.873] (-1921.284) (-1925.476) * (-1919.000) [-1909.374] (-1931.532) (-1915.036) -- 0:00:17
972000 -- (-1939.704) [-1902.903] (-1910.855) (-1917.383) * (-1914.799) [-1900.216] (-1916.005) (-1910.963) -- 0:00:16
973000 -- (-1935.921) [-1914.345] (-1917.131) (-1941.669) * (-1920.656) [-1904.767] (-1905.310) (-1916.568) -- 0:00:16
974000 -- (-1958.437) (-1917.099) [-1918.989] (-1927.305) * (-1926.212) (-1917.107) [-1906.331] (-1918.354) -- 0:00:15
975000 -- (-1915.927) (-1914.142) [-1916.522] (-1928.835) * (-1914.875) [-1913.366] (-1912.385) (-1913.706) -- 0:00:14
Average standard deviation of split frequencies: 0.008034
976000 -- (-1949.542) (-1914.918) [-1909.388] (-1926.101) * (-1920.198) [-1913.667] (-1916.910) (-1920.693) -- 0:00:14
977000 -- (-1924.771) [-1912.640] (-1921.083) (-1936.909) * (-1934.649) [-1917.218] (-1910.981) (-1908.359) -- 0:00:13
978000 -- [-1901.530] (-1920.221) (-1927.088) (-1929.150) * (-1919.778) [-1904.967] (-1940.224) (-1916.542) -- 0:00:13
979000 -- (-1906.124) [-1903.667] (-1949.988) (-1908.315) * [-1906.488] (-1905.304) (-1937.722) (-1922.524) -- 0:00:12
980000 -- [-1917.871] (-1904.310) (-1922.042) (-1907.270) * (-1905.285) [-1906.365] (-1930.361) (-1907.651) -- 0:00:11
Average standard deviation of split frequencies: 0.007937
981000 -- (-1932.954) (-1941.710) [-1915.358] (-1909.090) * [-1915.321] (-1908.927) (-1920.180) (-1912.368) -- 0:00:11
982000 -- (-1927.151) (-1941.798) [-1905.930] (-1913.571) * (-1929.137) (-1903.986) (-1925.434) [-1906.423] -- 0:00:10
983000 -- (-1921.377) (-1911.672) [-1918.202] (-1917.949) * (-1939.935) (-1909.138) (-1924.844) [-1910.955] -- 0:00:10
984000 -- (-1916.300) (-1917.094) (-1918.464) [-1914.384] * (-1899.261) [-1907.153] (-1938.746) (-1941.524) -- 0:00:09
985000 -- (-1909.806) (-1906.782) (-1916.964) [-1917.217] * [-1912.319] (-1919.057) (-1920.765) (-1898.115) -- 0:00:08
Average standard deviation of split frequencies: 0.007661
986000 -- (-1920.430) [-1903.605] (-1931.690) (-1916.610) * (-1913.227) (-1914.111) (-1944.699) [-1913.505] -- 0:00:08
987000 -- [-1899.126] (-1899.315) (-1913.348) (-1928.739) * [-1917.033] (-1905.613) (-1934.346) (-1922.335) -- 0:00:07
988000 -- [-1918.140] (-1903.033) (-1917.356) (-1918.360) * (-1915.445) [-1914.340] (-1946.558) (-1913.632) -- 0:00:07
989000 -- (-1938.980) (-1910.918) [-1915.356] (-1932.792) * (-1922.874) (-1922.842) (-1907.804) [-1904.162] -- 0:00:06
990000 -- (-1923.071) [-1906.183] (-1908.547) (-1934.353) * [-1911.884] (-1905.852) (-1918.861) (-1911.364) -- 0:00:05
Average standard deviation of split frequencies: 0.007207
991000 -- (-1922.612) [-1911.370] (-1901.290) (-1950.930) * (-1906.114) [-1898.661] (-1906.922) (-1935.484) -- 0:00:05
992000 -- [-1927.003] (-1908.378) (-1904.388) (-1927.523) * (-1916.938) (-1918.100) [-1913.007] (-1912.684) -- 0:00:04
993000 -- (-1917.636) (-1923.724) [-1908.858] (-1932.551) * (-1924.525) (-1919.003) [-1900.819] (-1898.690) -- 0:00:04
994000 -- (-1917.898) [-1915.600] (-1918.692) (-1940.980) * (-1914.423) (-1900.246) [-1910.556] (-1914.862) -- 0:00:03
995000 -- [-1908.688] (-1911.024) (-1918.367) (-1940.140) * (-1917.424) (-1912.703) [-1919.347] (-1924.990) -- 0:00:02
Average standard deviation of split frequencies: 0.007169
996000 -- (-1926.786) [-1912.129] (-1920.187) (-1930.970) * (-1918.855) (-1910.930) [-1907.894] (-1939.980) -- 0:00:02
997000 -- (-1947.513) [-1903.537] (-1924.372) (-1940.920) * [-1901.094] (-1921.180) (-1910.862) (-1929.062) -- 0:00:01
998000 -- (-1931.301) (-1904.400) [-1911.353] (-1931.484) * (-1914.928) (-1910.104) [-1900.232] (-1931.462) -- 0:00:01
999000 -- (-1930.194) [-1897.018] (-1904.554) (-1925.543) * (-1912.344) (-1913.405) (-1905.754) [-1896.967] -- 0:00:00
1000000 -- (-1921.045) (-1921.825) (-1912.489) [-1912.703] * (-1918.892) [-1901.824] (-1914.827) (-1910.223) -- 0:00:00
Average standard deviation of split frequencies: 0.006951
Analysis completed in 9 mins 55 seconds
Analysis used 593.96 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1888.74
Likelihood of best state for "cold" chain of run 2 was -1890.92
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
58.4 % ( 56 %) Dirichlet(Revmat{all})
74.6 % ( 69 %) Slider(Revmat{all})
25.2 % ( 20 %) Dirichlet(Pi{all})
27.5 % ( 31 %) Slider(Pi{all})
73.6 % ( 53 %) Multiplier(Alpha{1,2})
62.1 % ( 31 %) Multiplier(Alpha{3})
56.1 % ( 31 %) Slider(Pinvar{all})
38.3 % ( 39 %) ExtSPR(Tau{all},V{all})
36.9 % ( 40 %) ExtTBR(Tau{all},V{all})
48.1 % ( 60 %) NNI(Tau{all},V{all})
23.2 % ( 31 %) ParsSPR(Tau{all},V{all})
27.4 % ( 26 %) Multiplier(V{all})
69.5 % ( 69 %) Nodeslider(V{all})
25.8 % ( 25 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
57.4 % ( 49 %) Dirichlet(Revmat{all})
75.2 % ( 65 %) Slider(Revmat{all})
25.4 % ( 28 %) Dirichlet(Pi{all})
27.2 % ( 27 %) Slider(Pi{all})
72.8 % ( 46 %) Multiplier(Alpha{1,2})
63.2 % ( 30 %) Multiplier(Alpha{3})
55.6 % ( 32 %) Slider(Pinvar{all})
38.6 % ( 44 %) ExtSPR(Tau{all},V{all})
36.6 % ( 40 %) ExtTBR(Tau{all},V{all})
48.1 % ( 56 %) NNI(Tau{all},V{all})
23.2 % ( 24 %) ParsSPR(Tau{all},V{all})
27.3 % ( 22 %) Multiplier(V{all})
69.3 % ( 66 %) Nodeslider(V{all})
26.0 % ( 33 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.40 0.10 0.01
2 | 166524 0.42 0.11
3 | 166542 166815 0.43
4 | 166462 166530 167127
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.40 0.10 0.02
2 | 167163 0.42 0.11
3 | 166559 166436 0.42
4 | 165877 166807 167158
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)
+------------------------------------------------------------+ -1905.77
| 2 1 1 |
| 1 2 2 |
| 1 1 2 2|
|1 2 1 1 2 1 2 2 2 2 |
| 11 * 2 1 1* 2 21 12 1 2 1 2 |
| *11 *1 11 12 1 *1 1 1 21 |
| 2 2 1 2 22 1* 2 2 2 2 22 |
|22 2 1 2 2 222 *2 2 121 12 12 1 |
| 2 * 2 11 2 * 1 121|
| 1 1 12 2 2 |
| 1 1 1 |
| 12 1 |
| |
| 1 |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1914.38
^ ^
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 -1900.35 -1926.59
2 -1897.86 -1925.36
--------------------------------------
TOTAL -1898.47 -1926.15
--------------------------------------
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} 0.084306 0.000256 0.055029 0.115905 0.082714 1056.45 1151.05 1.000
r(A<->C){all} 0.049620 0.000514 0.010752 0.091629 0.045951 597.33 729.85 1.002
r(A<->G){all} 0.135237 0.001969 0.061439 0.231267 0.129683 480.54 542.63 1.000
r(A<->T){all} 0.025012 0.000382 0.000006 0.063761 0.020645 465.78 595.44 1.002
r(C<->G){all} 0.046947 0.000596 0.006201 0.094274 0.043176 741.65 746.82 1.000
r(C<->T){all} 0.645530 0.004078 0.523578 0.774151 0.647242 531.82 572.09 1.000
r(G<->T){all} 0.097654 0.001605 0.029480 0.176098 0.091904 390.31 442.48 1.000
pi(A){all} 0.280728 0.000190 0.254682 0.307842 0.280668 1135.16 1140.70 1.000
pi(C){all} 0.276865 0.000186 0.250129 0.302900 0.276790 1065.50 1152.47 1.000
pi(G){all} 0.222465 0.000170 0.199146 0.250210 0.222550 1155.44 1176.51 1.000
pi(T){all} 0.219941 0.000152 0.196327 0.244465 0.219729 1105.34 1120.18 1.000
alpha{1,2} 0.384920 0.232241 0.000233 1.208362 0.240684 991.54 1030.43 1.000
alpha{3} 1.473955 1.118861 0.001804 3.488639 1.201474 948.77 968.71 1.002
pinvar{all} 0.730174 0.008879 0.548103 0.877043 0.748539 586.59 663.84 1.002
------------------------------------------------------------------------------------------------------
* 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 -- C1
2 -- C10
3 -- C11
4 -- C14
5 -- C15
6 -- C2
7 -- C20
8 -- C21
9 -- C22
10 -- C23
11 -- C24
12 -- C26
13 -- C28
14 -- C3
15 -- C33
16 -- C34
17 -- C36
18 -- C37
19 -- C40
20 -- C42
21 -- C45
22 -- C46
23 -- C5
24 -- C51
25 -- C52
26 -- C54
27 -- C58
28 -- C6
29 -- C8
30 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- .........**...................
32 -- .*.**.*.*..**.********.****..*
33 -- .........**..*................
34 -- .*.**.***..**.********.****.**
35 -- .....*...**..*................
36 -- ...........*.....*............
37 -- ..................*.......*...
38 -- ....*.*.*...*.***.**....***..*
39 -- ....*....................*....
40 -- ......*.......*...*.......*...
41 -- ...............**.............
42 -- .*.*.......*.....*..**.*......
43 -- .*.************************.**
44 -- .*.**.***..**.*************.**
45 -- .*.***************************
46 -- .......*....................*.
47 -- .*.**.*.*..**.********.****.**
48 -- ......*.......*...............
49 -- ..............*...*.......*...
50 -- .*.**.***..**.****************
51 -- ......*...........*.......*...
52 -- .....*...**..*........*.......
53 -- .**************************.**
54 -- ..*..*...**..*................
55 -- .*.**.***..**.********.****..*
56 -- .*.*******************.****.**
57 -- .*...................*........
58 -- ...*.......*.....*............
59 -- .*.*..........................
60 -- ...*.................*........
61 -- ......................*....*..
62 -- ...........*.....*.....*......
63 -- .*..................*.........
64 -- .*.....................*......
65 -- ....................**........
66 -- .....................*.*......
67 -- .*.........*.....*............
68 -- ...........*.....*...*........
69 -- ....................*..*......
70 -- ...*...................*......
71 -- ...........*.....*..*.........
------------------------------------
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 2999 0.999001 0.001413 0.998001 1.000000 2
34 2983 0.993671 0.000471 0.993338 0.994004 2
35 2968 0.988674 0.000942 0.988008 0.989340 2
36 2929 0.975683 0.002355 0.974017 0.977348 2
37 2926 0.974684 0.014133 0.964690 0.984677 2
38 2914 0.970686 0.011306 0.962692 0.978681 2
39 2872 0.956696 0.009422 0.950033 0.963358 2
40 2433 0.810460 0.009893 0.803464 0.817455 2
41 2367 0.788474 0.002355 0.786809 0.790140 2
42 2080 0.692871 0.021670 0.677548 0.708195 2
43 2006 0.668221 0.014133 0.658228 0.678215 2
44 1644 0.547635 0.006595 0.542971 0.552298 2
45 1540 0.512991 0.006595 0.508328 0.517655 2
46 1389 0.462692 0.007066 0.457695 0.467688 2
47 1137 0.378748 0.014604 0.368421 0.389074 2
48 990 0.329780 0.022612 0.313791 0.345769 2
49 949 0.316123 0.004240 0.313125 0.319121 2
50 927 0.308794 0.008951 0.302465 0.315123 2
51 910 0.303131 0.008480 0.297135 0.309127 2
52 675 0.224850 0.003298 0.222518 0.227182 2
53 575 0.191539 0.005182 0.187875 0.195203 2
54 546 0.181879 0.005653 0.177881 0.185876 2
55 469 0.156229 0.005182 0.152565 0.159893 2
56 354 0.117921 0.006595 0.113258 0.122585 2
57 346 0.115256 0.001884 0.113924 0.116589 2
58 328 0.109260 0.004711 0.105929 0.112592 2
59 320 0.106596 0.005653 0.102598 0.110593 2
60 316 0.105263 0.002827 0.103264 0.107262 2
61 309 0.102931 0.001413 0.101932 0.103931 2
62 309 0.102931 0.003298 0.100600 0.105263 2
63 308 0.102598 0.005653 0.098601 0.106596 2
64 307 0.102265 0.008009 0.096602 0.107928 2
65 306 0.101932 0.011306 0.093937 0.109927 2
66 303 0.100933 0.009893 0.093937 0.107928 2
67 301 0.100266 0.006124 0.095936 0.104597 2
68 300 0.099933 0.003769 0.097268 0.102598 2
69 298 0.099267 0.011306 0.091272 0.107262 2
70 294 0.097935 0.004711 0.094604 0.101266 2
71 292 0.097268 0.011306 0.089274 0.105263 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.000717 0.000001 0.000000 0.002186 0.000489 1.000 2
length{all}[2] 0.000654 0.000000 0.000000 0.001902 0.000459 1.000 2
length{all}[3] 0.001058 0.000001 0.000002 0.002745 0.000825 1.001 2
length{all}[4] 0.000640 0.000000 0.000000 0.002010 0.000426 1.000 2
length{all}[5] 0.000671 0.000000 0.000000 0.001977 0.000466 1.000 2
length{all}[6] 0.001511 0.000001 0.000013 0.003717 0.001265 1.000 2
length{all}[7] 0.000650 0.000000 0.000000 0.001936 0.000439 1.000 2
length{all}[8] 0.003152 0.000003 0.000742 0.006395 0.002906 1.000 2
length{all}[9] 0.000643 0.000000 0.000000 0.001930 0.000455 1.000 2
length{all}[10] 0.000646 0.000000 0.000000 0.001985 0.000443 1.000 2
length{all}[11] 0.000646 0.000000 0.000000 0.001986 0.000434 1.000 2
length{all}[12] 0.001927 0.000001 0.000189 0.004245 0.001696 1.000 2
length{all}[13] 0.001310 0.000001 0.000002 0.003199 0.001077 1.000 2
length{all}[14] 0.004601 0.000005 0.001031 0.008801 0.004255 1.000 2
length{all}[15] 0.000675 0.000001 0.000000 0.002082 0.000452 1.000 2
length{all}[16] 0.001394 0.000001 0.000006 0.003398 0.001141 1.001 2
length{all}[17] 0.000789 0.000001 0.000000 0.002360 0.000545 1.001 2
length{all}[18] 0.000677 0.000000 0.000000 0.002040 0.000474 1.000 2
length{all}[19] 0.002570 0.000002 0.000447 0.005259 0.002299 1.000 2
length{all}[20] 0.001274 0.000001 0.000026 0.003094 0.001055 1.000 2
length{all}[21] 0.000649 0.000000 0.000000 0.001912 0.000429 1.000 2
length{all}[22] 0.001260 0.000001 0.000006 0.003187 0.001000 1.000 2
length{all}[23] 0.002156 0.000002 0.000062 0.004759 0.001873 1.000 2
length{all}[24] 0.000650 0.000000 0.000000 0.002033 0.000435 1.000 2
length{all}[25] 0.000635 0.000000 0.000000 0.001912 0.000424 1.000 2
length{all}[26] 0.000670 0.000000 0.000000 0.002028 0.000473 1.000 2
length{all}[27] 0.000651 0.000000 0.000000 0.002098 0.000425 1.000 2
length{all}[28] 0.002834 0.000003 0.000377 0.006105 0.002494 1.001 2
length{all}[29] 0.001360 0.000001 0.000010 0.003341 0.001129 1.000 2
length{all}[30] 0.000655 0.000000 0.000001 0.001927 0.000440 1.000 2
length{all}[31] 0.013714 0.000017 0.006663 0.022119 0.013186 1.000 2
length{all}[32] 0.003253 0.000003 0.000506 0.006561 0.003023 1.002 2
length{all}[33] 0.003459 0.000004 0.000579 0.007282 0.003087 1.001 2
length{all}[34] 0.002069 0.000002 0.000243 0.004513 0.001839 1.000 2
length{all}[35] 0.002277 0.000002 0.000135 0.005113 0.002017 1.000 2
length{all}[36] 0.001268 0.000001 0.000054 0.003034 0.001035 1.000 2
length{all}[37] 0.001336 0.000001 0.000030 0.003332 0.001086 1.000 2
length{all}[38] 0.001534 0.000001 0.000018 0.003683 0.001295 1.001 2
length{all}[39] 0.001274 0.000001 0.000056 0.003117 0.001040 1.000 2
length{all}[40] 0.001276 0.000001 0.000032 0.003112 0.001055 1.000 2
length{all}[41] 0.001275 0.000001 0.000024 0.003105 0.001060 1.001 2
length{all}[42] 0.001284 0.000001 0.000004 0.003124 0.001048 1.000 2
length{all}[43] 0.002348 0.000002 0.000264 0.004881 0.002155 1.000 2
length{all}[44] 0.001545 0.000001 0.000003 0.003857 0.001287 0.999 2
length{all}[45] 0.001434 0.000001 0.000001 0.003578 0.001187 1.000 2
length{all}[46] 0.001230 0.000001 0.000002 0.003238 0.000950 0.999 2
length{all}[47] 0.001039 0.000001 0.000001 0.002855 0.000822 1.002 2
length{all}[48] 0.000760 0.000001 0.000001 0.002315 0.000483 0.999 2
length{all}[49] 0.000694 0.000000 0.000001 0.001972 0.000507 1.003 2
length{all}[50] 0.001944 0.000002 0.000072 0.004598 0.001695 0.999 2
length{all}[51] 0.000725 0.000001 0.000001 0.002266 0.000480 1.001 2
length{all}[52] 0.001038 0.000001 0.000000 0.002766 0.000768 0.999 2
length{all}[53] 0.001009 0.000001 0.000001 0.002782 0.000736 1.002 2
length{all}[54] 0.001279 0.000001 0.000013 0.003098 0.001087 0.998 2
length{all}[55] 0.000726 0.000001 0.000001 0.002336 0.000504 0.998 2
length{all}[56] 0.000916 0.000001 0.000000 0.002596 0.000689 0.997 2
length{all}[57] 0.000650 0.000000 0.000001 0.001857 0.000433 0.998 2
length{all}[58] 0.000663 0.000001 0.000003 0.002125 0.000443 0.997 2
length{all}[59] 0.000654 0.000000 0.000003 0.001933 0.000484 0.998 2
length{all}[60] 0.000659 0.000001 0.000009 0.001730 0.000450 0.997 2
length{all}[61] 0.001465 0.000001 0.000048 0.003758 0.001167 1.015 2
length{all}[62] 0.000630 0.000000 0.000000 0.001995 0.000418 0.999 2
length{all}[63] 0.000606 0.000000 0.000003 0.001757 0.000416 0.999 2
length{all}[64] 0.000702 0.000001 0.000000 0.002036 0.000444 0.997 2
length{all}[65] 0.000538 0.000000 0.000001 0.001524 0.000421 1.002 2
length{all}[66] 0.000625 0.000000 0.000009 0.001835 0.000460 0.998 2
length{all}[67] 0.000635 0.000000 0.000001 0.001810 0.000460 0.999 2
length{all}[68] 0.000657 0.000000 0.000002 0.001962 0.000444 1.010 2
length{all}[69] 0.000631 0.000000 0.000001 0.001960 0.000413 1.000 2
length{all}[70] 0.000662 0.000000 0.000002 0.002053 0.000449 0.997 2
length{all}[71] 0.000693 0.000000 0.000000 0.002107 0.000484 1.003 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.006951
Maximum standard deviation of split frequencies = 0.022612
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.015
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C11 (3)
|
| /---------------- C10 (2)
| |
| |---------------- C14 (4)
| |
| | /-------- C26 (12)
| |---98--+
| /------69------+ \-------- C37 (18)
| | |
| | |---------------- C45 (21)
| | |
| | |---------------- C46 (22)
| | |
| | \---------------- C51 (24)
| |
| | /-------- C15 (5)
| | /------96------+
| | | \-------- C54 (26)
| /--100--+ |
| | | | /---------------- C20 (7)
| | | | |
| | | | |---------------- C33 (15)
| | | |--81--+
| | | | | /-------- C40 (19)
+ | | | \---97--+
| | | | \-------- C58 (27)
| | | |
| | | |----------------------- C22 (9)
| | \---97--+
| | |----------------------- C28 (13)
| | |
| /---99--+ | /-------- C34 (16)
| | | |------79------+
| | | | \-------- C36 (17)
| | | |
| | | |----------------------- C42 (20)
| | | |
| | | |----------------------- C52 (25)
| /--55--+ | |
| | | | \----------------------- C9 (30)
| | | |
| | | |--------------------------------------- C21 (8)
| | | |
| | | \--------------------------------------- C8 (29)
| /---67--+ |
| | | \----------------------------------------------- C5 (23)
| | |
| | | /----------------------- C2 (6)
| | | |
| | | | /-------- C23 (10)
\---51--+ \--------------99--------------+ /--100--+
| | | \-------- C24 (11)
| \--100-+
| \---------------- C3 (14)
|
\-------------------------------------------------------------- C6 (28)
Phylogram (based on average branch lengths):
/-- C1 (1)
|
|--- C11 (3)
|
| /-- C10 (2)
| |
| |-- C14 (4)
| |
| | /----- C26 (12)
| |---+
| /--+ \- C37 (18)
| | |
| | |-- C45 (21)
| | |
| | |---- C46 (22)
| | |
| | \-- C51 (24)
| |
| | /-- C15 (5)
| | /--+
| | | \-- C54 (26)
| /--------+ |
| | | | /- C20 (7)
| | | | |
| | | | |- C33 (15)
| | | |---+
| | | | | /------- C40 (19)
+ | | | \--+
| | | | \- C58 (27)
| | | |
| | | |-- C22 (9)
| | \---+
| | |---- C28 (13)
| | |
| /-----+ | /--- C34 (16)
| | | |---+
| | | | \- C36 (17)
| | | |
| | | |---- C42 (20)
| | | |
| | | |-- C52 (25)
| /---+ | |
| | | | \-- C9 (30)
| | | |
| | | |--------- C21 (8)
| | | |
| | | \--- C8 (29)
| /------+ |
| | | \------ C5 (23)
| | |
| | | /---- C2 (6)
| | | |
| | | | /- C23 (10)
\---+ \-----+ /-----------------------------------------+
| | | \- C24 (11)
| \---------+
| \------------- C3 (14)
|
\-------- C6 (28)
|--------------| 0.005 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 Tue Nov 08 20:15:01 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 21:33:51 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/codeml,NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.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 C52 1026 sites
reading seq# 2 C2 1026 sites
reading seq# 3 C34 1026 sites
reading seq# 4 C9 1026 sites
reading seq# 5 C5 1026 sites
reading seq# 6 C1 1026 sites
reading seq# 7 C42 1026 sites
reading seq# 8 C33 1026 sites
reading seq# 9 C11 1026 sites
reading seq#10 C23 1026 sites
reading seq#11 C20 1026 sites
reading seq#12 C45 1026 sites
reading seq#13 C22 1026 sites
reading seq#14 C54 1026 sites
reading seq#15 C21 1026 sites
reading seq#16 C28 1026 sites
reading seq#17 C3 1026 sites
reading seq#18 C58 1026 sites
reading seq#19 C10 1026 sites
reading seq#20 C14 1026 sites
reading seq#21 C46 1026 sites
reading seq#22 C8 1026 sites
reading seq#23 C15 1026 sites
reading seq#24 C26 1026 sites
reading seq#25 C51 1026 sites
reading seq#26 C40 1026 sites
reading seq#27 C36 1026 sites
reading seq#28 C6 1026 sites
reading seq#29 C37 1026 sites
reading seq#30 C24 1026 sitesns = 30 ls = 1026
Reading sequences, sequential format..
Reading seq # 1: C52
Reading seq # 2: C2
Reading seq # 3: C34
Reading seq # 4: C9
Reading seq # 5: C5
Reading seq # 6: C1
Reading seq # 7: C42
Reading seq # 8: C33
Reading seq # 9: C11
Reading seq #10: C23
Reading seq #11: C20
Reading seq #12: C45
Reading seq #13: C22
Reading seq #14: C54
Reading seq #15: C21
Reading seq #16: C28
Reading seq #17: C3
Reading seq #18: C58
Reading seq #19: C10
Reading seq #20: C14
Reading seq #21: C46
Reading seq #22: C8
Reading seq #23: C15
Reading seq #24: C26
Reading seq #25: C51
Reading seq #26: C40
Reading seq #27: C36
Reading seq #28: C6
Reading seq #29: C37
Reading seq #30: C24
Sequences read..
Counting site patterns.. 0:00
Compressing, 105 patterns at 342 / 342 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 105 patterns at 342 / 342 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
102480 bytes for conP
9240 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
819840 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.013978 0.060398 0.074187 0.068270 0.031226 0.082099 0.098036 0.051800 0.096994 0.082914 0.101538 0.082618 0.028408 0.028280 0.080872 0.095513 0.089725 0.066945 0.050654 0.048320 0.032683 0.088728 0.101429 0.030602 0.081671 0.046241 0.044954 0.044895 0.068421 0.101512 0.039458 0.058947 0.095891 0.033451 0.062075 0.102391 0.086037 0.017094 0.070628 0.056295 0.041159 0.060555 0.071959 0.059006 0.023512 0.300000 0.702556 0.494932
ntime & nrate & np: 45 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 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 11.113031
np = 48
lnL0 = -2638.019750
Iterating by ming2
Initial: fx= 2638.019750
x= 0.01398 0.06040 0.07419 0.06827 0.03123 0.08210 0.09804 0.05180 0.09699 0.08291 0.10154 0.08262 0.02841 0.02828 0.08087 0.09551 0.08973 0.06695 0.05065 0.04832 0.03268 0.08873 0.10143 0.03060 0.08167 0.04624 0.04495 0.04489 0.06842 0.10151 0.03946 0.05895 0.09589 0.03345 0.06208 0.10239 0.08604 0.01709 0.07063 0.05629 0.04116 0.06055 0.07196 0.05901 0.02351 0.30000 0.70256 0.49493
1 h-m-p 0.0000 0.0000 1853.6824 ++ 2476.951935 m 0.0000 53 | 1/48
2 h-m-p 0.0000 0.0000 18618.0446 ++ 2333.792242 m 0.0000 104 | 2/48
3 h-m-p 0.0000 0.0000 278719.2647 ++ 2332.201762 m 0.0000 155 | 3/48
4 h-m-p 0.0000 0.0000 502531.4720 ++ 2286.204852 m 0.0000 206 | 4/48
5 h-m-p 0.0000 0.0000 18886.4820 ++ 2256.022970 m 0.0000 257 | 5/48
6 h-m-p 0.0000 0.0000 22798.1815 ++ 2240.256017 m 0.0000 308 | 6/48
7 h-m-p 0.0000 0.0000 9125.0777 ++ 2204.882586 m 0.0000 359 | 7/48
8 h-m-p 0.0000 0.0000 10707.1207 ++ 2195.417576 m 0.0000 410 | 8/48
9 h-m-p 0.0000 0.0000 16593.1155 ++ 2184.023882 m 0.0000 461 | 9/48
10 h-m-p 0.0000 0.0000 13048.2465 ++ 2170.280504 m 0.0000 512 | 10/48
11 h-m-p 0.0000 0.0000 7976.6914 ++ 2126.689195 m 0.0000 563 | 11/48
12 h-m-p 0.0000 0.0000 6864.5094 ++ 2086.643313 m 0.0000 614 | 12/48
13 h-m-p 0.0000 0.0000 16439.6602 ++ 2042.356428 m 0.0000 665 | 13/48
14 h-m-p 0.0000 0.0000 5167.5071 ++ 2026.545568 m 0.0000 716 | 14/48
15 h-m-p 0.0000 0.0000 8313.1826 ++ 2012.366191 m 0.0000 767 | 15/48
16 h-m-p 0.0000 0.0000 5831.3471 ++ 2011.547851 m 0.0000 818 | 16/48
17 h-m-p 0.0000 0.0000 2929.7502 ++ 2010.111073 m 0.0000 869 | 17/48
18 h-m-p 0.0000 0.0000 2078.3438 ++ 2006.587251 m 0.0000 920 | 18/48
19 h-m-p 0.0000 0.0001 830.3286 ++ 1990.131420 m 0.0001 971 | 18/48
20 h-m-p 0.0000 0.0001 723.2362 +YYYYCCCCC 1981.155448 8 0.0000 1035 | 18/48
21 h-m-p 0.0000 0.0001 418.4059 +YYYYYC 1977.124577 5 0.0000 1092 | 18/48
22 h-m-p 0.0000 0.0000 2956.4335 +YYCYC 1974.952732 4 0.0000 1149 | 18/48
23 h-m-p 0.0000 0.0000 2524.9682 YCYCCC 1972.803754 5 0.0000 1208 | 18/48
24 h-m-p 0.0000 0.0000 1335.0563 YCYCCC 1970.324156 5 0.0000 1267 | 18/48
25 h-m-p 0.0000 0.0000 1173.3631 +YCYCC 1967.550343 4 0.0000 1325 | 17/48
26 h-m-p 0.0000 0.0000 3198.2257 +CC 1965.533877 1 0.0000 1379 | 17/48
27 h-m-p 0.0000 0.0000 2007.3287 ++ 1964.770631 m 0.0000 1430 | 18/48
28 h-m-p 0.0000 0.0000 2133.4717 +YYCCC 1962.017074 4 0.0000 1488 | 18/48
29 h-m-p 0.0000 0.0000 857.0333 +YCYCCC 1960.625300 5 0.0000 1548 | 18/48
30 h-m-p 0.0000 0.0001 314.7019 +YYYYCYCCC 1957.122385 8 0.0001 1611 | 18/48
31 h-m-p 0.0000 0.0001 371.1752 +YYYCCCCC 1950.648513 7 0.0001 1674 | 18/48
32 h-m-p 0.0000 0.0000 4938.5722 +CYYCC 1947.005926 4 0.0000 1732 | 18/48
33 h-m-p 0.0000 0.0000 46254.3651 ++ 1907.935534 m 0.0000 1783 | 18/48
34 h-m-p 0.0000 0.0000 266.1412
h-m-p: 2.22808205e-19 1.11404103e-18 2.66141241e+02 1907.935534
.. | 18/48
35 h-m-p 0.0000 0.0000 20142.8992 -YYCYCYC 1903.042755 6 0.0000 1891 | 18/48
36 h-m-p 0.0000 0.0000 1303.3919 +YYCCCC 1890.968134 5 0.0000 1951 | 18/48
37 h-m-p 0.0000 0.0000 864.5913 +YYCYCCC 1883.195629 6 0.0000 2012 | 18/48
38 h-m-p 0.0000 0.0000 2755.0686 +YYCCCC 1881.556144 5 0.0000 2072 | 18/48
39 h-m-p 0.0000 0.0000 1521.6291 +YYCCC 1880.142783 4 0.0000 2130 | 18/48
40 h-m-p 0.0000 0.0000 2241.0111 +YYCCC 1878.816752 4 0.0000 2188 | 18/48
41 h-m-p 0.0000 0.0000 606.5463 +YCYCCC 1876.966910 5 0.0000 2248 | 18/48
42 h-m-p 0.0000 0.0001 314.8687 YCCCC 1876.195162 4 0.0000 2306 | 18/48
43 h-m-p 0.0000 0.0000 609.8734 CCCC 1875.569708 3 0.0000 2363 | 18/48
44 h-m-p 0.0000 0.0001 278.1116 CCCC 1875.203228 3 0.0000 2420 | 18/48
45 h-m-p 0.0000 0.0001 296.7676 +YCC 1874.278892 2 0.0001 2475 | 18/48
46 h-m-p 0.0000 0.0000 1223.6600 ++ 1873.308789 m 0.0000 2526 | 19/48
47 h-m-p 0.0000 0.0000 4409.9717 +YYCYCYC 1868.477112 6 0.0000 2586 | 19/48
48 h-m-p 0.0000 0.0000 30374.5700 +CYYYC 1860.938137 4 0.0000 2643 | 19/48
49 h-m-p 0.0000 0.0000 34529.4241 +YCYCCC 1854.059206 5 0.0000 2703 | 19/48
50 h-m-p 0.0000 0.0001 419.4449 YYC 1853.854560 2 0.0000 2756 | 19/48
51 h-m-p 0.0000 0.0001 94.8141 YYYC 1853.788929 3 0.0000 2810 | 19/48
52 h-m-p 0.0000 0.0004 157.0330 YC 1853.660990 1 0.0000 2862 | 19/48
53 h-m-p 0.0000 0.0003 286.9207 +YYYYC 1853.188324 4 0.0001 2918 | 19/48
54 h-m-p 0.0000 0.0002 1215.8867 +YYC 1851.704115 2 0.0001 2972 | 19/48
55 h-m-p 0.0000 0.0000 1843.8511 YCCC 1851.163870 3 0.0000 3028 | 19/48
56 h-m-p 0.0000 0.0001 1112.5209 YCCCC 1850.275566 4 0.0000 3086 | 19/48
57 h-m-p 0.0000 0.0001 1868.4943 YCCC 1848.790682 3 0.0000 3142 | 19/48
58 h-m-p 0.0000 0.0001 3010.5411 +YYCCC 1844.269086 4 0.0001 3200 | 19/48
59 h-m-p 0.0000 0.0001 9531.4690 YCCC 1841.634625 3 0.0000 3256 | 19/48
60 h-m-p 0.0000 0.0000 1940.1644 CCC 1841.260069 2 0.0000 3311 | 19/48
61 h-m-p 0.0001 0.0003 200.3257 YCC 1841.114672 2 0.0000 3365 | 19/48
62 h-m-p 0.0015 0.0076 3.3218 -CC 1841.112259 1 0.0001 3419 | 19/48
63 h-m-p 0.0001 0.0488 4.6147 ++++YYCC 1837.907502 3 0.0197 3478 | 19/48
64 h-m-p 0.0001 0.0004 86.9625 YCY 1837.791178 2 0.0001 3532 | 19/48
65 h-m-p 0.0087 2.3120 0.5077 +++YCYCCC 1830.559505 5 1.3030 3594 | 18/48
66 h-m-p 0.0102 0.0509 11.5568 CCC 1830.528675 2 0.0021 3678 | 18/48
67 h-m-p 0.0563 0.4143 0.4212 ++ 1828.779747 m 0.4143 3729 | 19/48
68 h-m-p 0.3494 1.7779 0.4986 YCCC 1827.145579 3 0.8498 3815 | 19/48
69 h-m-p 0.8981 6.1607 0.4718 CYCC 1826.073012 3 1.1678 3900 | 19/48
70 h-m-p 0.2100 1.0500 0.6115 YCCCC 1825.636862 4 0.4547 3987 | 19/48
71 h-m-p 0.6033 3.2607 0.4609 YCCC 1824.896871 3 1.3085 4072 | 19/48
72 h-m-p 1.2722 6.3609 0.2966 CCC 1824.636243 2 1.4130 4156 | 19/48
73 h-m-p 1.5204 8.0000 0.2757 YCC 1824.543722 2 1.0002 4239 | 19/48
74 h-m-p 1.6000 8.0000 0.1161 CYC 1824.496030 2 1.7738 4322 | 19/48
75 h-m-p 1.6000 8.0000 0.0893 CC 1824.441429 1 2.5425 4404 | 19/48
76 h-m-p 1.6000 8.0000 0.0783 CYC 1824.385145 2 1.5484 4487 | 19/48
77 h-m-p 1.6000 8.0000 0.0196 CYC 1824.358314 2 1.4417 4570 | 19/48
78 h-m-p 1.0167 8.0000 0.0279 YC 1824.348300 1 2.1933 4651 | 19/48
79 h-m-p 1.6000 8.0000 0.0150 CC 1824.340634 1 2.2713 4733 | 19/48
80 h-m-p 1.6000 8.0000 0.0145 CC 1824.336937 1 2.4763 4815 | 19/48
81 h-m-p 1.6000 8.0000 0.0072 YC 1824.332484 1 3.2925 4896 | 19/48
82 h-m-p 1.6000 8.0000 0.0082 CC 1824.330297 1 1.9603 4978 | 19/48
83 h-m-p 1.6000 8.0000 0.0061 YC 1824.327899 1 3.9650 5059 | 19/48
84 h-m-p 1.6000 8.0000 0.0083 CC 1824.326969 1 2.0800 5141 | 19/48
85 h-m-p 1.6000 8.0000 0.0014 C 1824.326618 0 1.8935 5221 | 19/48
86 h-m-p 1.6000 8.0000 0.0007 C 1824.326470 0 2.2413 5301 | 19/48
87 h-m-p 0.3866 8.0000 0.0038 +YC 1824.326296 1 2.8872 5383 | 19/48
88 h-m-p 1.6000 8.0000 0.0016 C 1824.326242 0 1.6929 5463 | 19/48
89 h-m-p 1.5578 8.0000 0.0017 C 1824.326235 0 1.5161 5543 | 19/48
90 h-m-p 1.6000 8.0000 0.0001 C 1824.326234 0 1.3868 5623 | 19/48
91 h-m-p 1.6000 8.0000 0.0000 Y 1824.326234 0 1.1209 5703 | 19/48
92 h-m-p 0.9542 8.0000 0.0000 C 1824.326234 0 1.1154 5783 | 19/48
93 h-m-p 1.6000 8.0000 0.0000 Y 1824.326234 0 3.2503 5863 | 19/48
94 h-m-p 1.6000 8.0000 0.0000 Y 1824.326234 0 0.2497 5943 | 19/48
95 h-m-p 0.3150 8.0000 0.0000 C 1824.326234 0 0.0788 6023 | 19/48
96 h-m-p 0.0894 8.0000 0.0000 C 1824.326234 0 0.0894 6103 | 19/48
97 h-m-p 0.0803 8.0000 0.0000 --------------.. | 19/48
98 h-m-p 0.0011 0.5738 0.0109 ----------- | 19/48
99 h-m-p 0.0011 0.5738 0.0109 -----------
Out..
lnL = -1824.326234
6374 lfun, 19122 eigenQcodon, 573660 P(t)
end of tree file.
Time used: 3:19
Model 2: PositiveSelection
TREE # 1
(6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.026759 0.032858 0.013040 0.093685 0.062452 0.036667 0.088067 0.048167 0.101056 0.082630 0.057836 0.071059 0.015074 0.098189 0.035860 0.021356 0.078502 0.056771 0.064988 0.066948 0.062718 0.065400 0.064612 0.079998 0.012749 0.103388 0.023092 0.076366 0.027344 0.016786 0.096338 0.091260 0.041285 0.048287 0.048472 0.058309 0.083398 0.057263 0.045529 0.034240 0.058669 0.059628 0.088110 0.086345 0.077929 5.534390 1.622096 0.269760 0.199728 1.361173
ntime & nrate & np: 45 3 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.716544
np = 50
lnL0 = -2388.331593
Iterating by ming2
Initial: fx= 2388.331593
x= 0.02676 0.03286 0.01304 0.09369 0.06245 0.03667 0.08807 0.04817 0.10106 0.08263 0.05784 0.07106 0.01507 0.09819 0.03586 0.02136 0.07850 0.05677 0.06499 0.06695 0.06272 0.06540 0.06461 0.08000 0.01275 0.10339 0.02309 0.07637 0.02734 0.01679 0.09634 0.09126 0.04129 0.04829 0.04847 0.05831 0.08340 0.05726 0.04553 0.03424 0.05867 0.05963 0.08811 0.08634 0.07793 5.53439 1.62210 0.26976 0.19973 1.36117
1 h-m-p 0.0000 0.0001 1495.1070 ++ 2264.953497 m 0.0001 105 | 1/50
2 h-m-p 0.0000 0.0000 9162.5819 ++ 2253.464480 m 0.0000 208 | 2/50
3 h-m-p 0.0000 0.0000 259730.4404 ++ 2208.900631 m 0.0000 310 | 3/50
4 h-m-p 0.0000 0.0000 1710.3438 ++ 2195.569650 m 0.0000 411 | 4/50
5 h-m-p 0.0000 0.0000 1005.1604 ++ 2171.443095 m 0.0000 511 | 5/50
6 h-m-p 0.0000 0.0000 1441.2094 ++ 2110.300272 m 0.0000 610 | 5/50
7 h-m-p 0.0000 0.0000 6715.5160 ++ 2077.784084 m 0.0000 708 | 6/50
8 h-m-p 0.0000 0.0000 2878.6326 ++ 2045.185423 m 0.0000 806 | 7/50
9 h-m-p 0.0000 0.0000 17658.2338 +CYCYYCCC 2033.404569 7 0.0000 915 | 7/50
10 h-m-p 0.0000 0.0000 18908.4947 ++ 1972.405385 m 0.0000 1011 | 8/50
11 h-m-p 0.0000 0.0000 9740.9615 ++ 1970.714182 m 0.0000 1107 | 9/50
12 h-m-p 0.0000 0.0000 55708.4017 ++ 1969.328121 m 0.0000 1202 | 10/50
13 h-m-p 0.0000 0.0000 21419.0437 ++ 1964.078817 m 0.0000 1296 | 11/50
14 h-m-p 0.0000 0.0000 16801.7372 ++ 1958.244616 m 0.0000 1389 | 12/50
15 h-m-p 0.0000 0.0000 14152.5278 ++ 1927.419670 m 0.0000 1481 | 13/50
16 h-m-p 0.0000 0.0000 4632.9169 ++ 1915.157408 m 0.0000 1572 | 14/50
17 h-m-p 0.0000 0.0000 4665.0122 ++ 1906.086765 m 0.0000 1662 | 15/50
18 h-m-p 0.0000 0.0000 3022.3018 ++ 1903.571110 m 0.0000 1751 | 16/50
19 h-m-p 0.0000 0.0000 4207.0825 ++ 1901.467505 m 0.0000 1839 | 17/50
20 h-m-p 0.0000 0.0000 2155.3693 ++ 1898.966124 m 0.0000 1926 | 18/50
21 h-m-p 0.0000 0.0001 290.0127 +YCYYYCYCCC 1889.948069 9 0.0001 2026 | 18/50
22 h-m-p 0.0000 0.0000 3183.0471 +CYYCYCCC 1877.493818 7 0.0000 2123 | 18/50
23 h-m-p 0.0000 0.0000 13942.6887 +YYCCCC 1872.585174 5 0.0000 2217 | 18/50
24 h-m-p 0.0000 0.0001 396.9309 +YYCCC 1870.311583 4 0.0000 2309 | 18/50
25 h-m-p 0.0000 0.0001 220.6099 YCCCC 1869.235348 4 0.0001 2401 | 18/50
26 h-m-p 0.0000 0.0002 202.2426 YCCCC 1867.847754 4 0.0001 2493 | 18/50
27 h-m-p 0.0000 0.0002 173.0085 CYCCC 1867.205017 4 0.0001 2585 | 18/50
28 h-m-p 0.0001 0.0003 64.7483 YCYCCC 1866.461226 5 0.0001 2678 | 18/50
29 h-m-p 0.0000 0.0002 221.8645 +YYYCYCCC 1862.632228 7 0.0002 2774 | 18/50
30 h-m-p 0.0000 0.0001 979.7596 +YCYCC 1860.123708 4 0.0000 2866 | 18/50
31 h-m-p 0.0000 0.0001 642.6027 CCCC 1859.108333 3 0.0000 2957 | 18/50
32 h-m-p 0.0001 0.0004 33.3774 YCYCCC 1858.652744 5 0.0002 3050 | 18/50
33 h-m-p 0.0000 0.0003 642.5478 ++YCYCCCC 1847.834928 6 0.0003 3148 | 18/50
34 h-m-p 0.0011 0.0053 46.2294 +YCCC 1842.798118 3 0.0048 3239 | 18/50
35 h-m-p 0.0001 0.0003 71.8580 ++ 1842.162943 m 0.0003 3324 | 19/50
36 h-m-p 0.0003 0.0023 71.0023 ++ 1839.883040 m 0.0023 3409 | 20/50
37 h-m-p 0.0025 0.0125 13.3894 +YYCCC 1837.848940 4 0.0085 3500 | 20/50
38 h-m-p 0.0033 0.0165 13.3407 CYCCC 1835.932701 4 0.0063 3590 | 19/50
39 h-m-p 0.0109 0.0547 6.5096 CCC 1835.811436 2 0.0026 3677 | 19/50
40 h-m-p 0.0032 0.0161 2.2228 +YCCC 1835.274428 3 0.0107 3767 | 19/50
41 h-m-p 0.0196 0.0979 0.2567 +YCYCCC 1834.327806 5 0.0586 3860 | 19/50
42 h-m-p 0.0500 0.3266 0.3010 YCCC 1833.180104 3 0.0953 3949 | 19/50
43 h-m-p 0.0844 0.4222 0.1463 CCC 1832.420456 2 0.0960 4037 | 19/50
44 h-m-p 0.0380 1.1947 0.3693 ++YCCC 1831.248010 3 0.4375 4128 | 19/50
45 h-m-p 0.1929 0.9646 0.2741 CCC 1830.793548 2 0.2041 4216 | 19/50
46 h-m-p 0.1190 2.7549 0.4702 +YC 1829.565414 1 0.9180 4302 | 19/50
47 h-m-p 1.0754 5.3769 0.2132 CYCC 1829.001350 3 0.8078 4391 | 19/50
48 h-m-p 0.3175 1.7056 0.5423 YCCC 1828.377203 3 0.5617 4480 | 19/50
49 h-m-p 0.7604 3.8020 0.2969 CCCC 1827.826799 3 1.3427 4570 | 19/50
50 h-m-p 1.4359 8.0000 0.2776 CCC 1827.493209 2 1.4605 4658 | 19/50
51 h-m-p 1.0955 5.4774 0.3207 CCCC 1827.260239 3 1.1971 4748 | 19/50
52 h-m-p 1.6000 8.0000 0.1522 YCC 1827.129922 2 1.2465 4835 | 19/50
53 h-m-p 0.5938 6.9213 0.3196 YC 1827.032277 1 1.0062 4920 | 19/50
54 h-m-p 1.6000 8.0000 0.1286 CC 1826.953992 1 1.6947 5006 | 19/50
55 h-m-p 1.1666 8.0000 0.1868 CCC 1826.902947 2 1.0381 5094 | 19/50
56 h-m-p 1.4988 8.0000 0.1294 CCC 1826.848840 2 1.6171 5182 | 19/50
57 h-m-p 1.5728 8.0000 0.1330 CC 1826.811955 1 1.3332 5268 | 19/50
58 h-m-p 1.6000 8.0000 0.0844 CC 1826.784762 1 1.7199 5354 | 19/50
59 h-m-p 1.6000 8.0000 0.0901 CCC 1826.748843 2 1.8119 5442 | 19/50
60 h-m-p 1.6000 8.0000 0.0663 YCC 1826.680367 2 2.8992 5529 | 19/50
61 h-m-p 1.6000 8.0000 0.1090 YC 1826.565491 1 3.2112 5614 | 19/50
62 h-m-p 1.6000 8.0000 0.2019 CCC 1826.466115 2 1.8668 5702 | 19/50
63 h-m-p 1.5506 8.0000 0.2431 CC 1826.388462 1 1.6670 5788 | 19/50
64 h-m-p 1.6000 8.0000 0.1961 CC 1826.345941 1 2.1421 5874 | 19/50
65 h-m-p 1.6000 8.0000 0.1817 YC 1826.292054 1 2.7737 5959 | 19/50
66 h-m-p 1.6000 8.0000 0.1988 YC 1826.202965 1 2.9920 6044 | 19/50
67 h-m-p 1.6000 8.0000 0.1706 YC 1826.082938 1 3.2418 6129 | 19/50
68 h-m-p 1.6000 8.0000 0.2201 YCC 1825.980124 2 2.7104 6216 | 19/50
69 h-m-p 1.6000 8.0000 0.2759 +YC 1825.786269 1 4.2501 6302 | 19/50
70 h-m-p 1.6000 8.0000 0.4782 YCCC 1825.576942 3 2.6762 6391 | 19/50
71 h-m-p 1.6000 8.0000 0.5907 YCCC 1825.243567 3 3.2997 6480 | 19/50
72 h-m-p 1.4131 8.0000 1.3792 YC 1824.947728 1 2.9832 6565 | 19/50
73 h-m-p 1.6000 8.0000 2.2055 CCC 1824.752489 2 2.0848 6653 | 19/50
74 h-m-p 1.3972 8.0000 3.2910 CCCC 1824.568354 3 2.2696 6743 | 19/50
75 h-m-p 1.6000 8.0000 4.5437 CYC 1824.410236 2 2.2123 6830 | 19/50
76 h-m-p 1.6000 8.0000 4.5656 CCC 1824.360339 2 1.3701 6918 | 19/50
77 h-m-p 1.6000 8.0000 3.3532 CC 1824.340185 1 1.4049 7004 | 19/50
78 h-m-p 1.6000 8.0000 2.0573 CC 1824.329116 1 1.9937 7090 | 19/50
79 h-m-p 1.6000 8.0000 0.5372 C 1824.326596 0 1.5508 7174 | 19/50
80 h-m-p 1.6000 8.0000 0.1859 C 1824.326177 0 1.8421 7258 | 19/50
81 h-m-p 1.6000 8.0000 0.1027 C 1824.326118 0 1.5090 7342 | 19/50
82 h-m-p 1.6000 8.0000 0.0416 C 1824.326113 0 1.4394 7426 | 19/50
83 h-m-p 1.6000 8.0000 0.0109 C 1824.326112 0 1.4620 7510 | 19/50
84 h-m-p 1.6000 8.0000 0.0010 Y 1824.326112 0 1.2070 7594 | 19/50
85 h-m-p 1.4807 8.0000 0.0008 C 1824.326112 0 1.3777 7678 | 19/50
86 h-m-p 1.6000 8.0000 0.0000 +C 1824.326112 0 6.6541 7763 | 19/50
87 h-m-p 1.6000 8.0000 0.0002 --Y 1824.326112 0 0.0460 7849 | 19/50
88 h-m-p 0.0675 8.0000 0.0001 ----Y 1824.326112 0 0.0001 7937
Out..
lnL = -1824.326112
7938 lfun, 31752 eigenQcodon, 1071630 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) = -1834.473273 S = -1786.635131 -65.515494
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 105 patterns 9:30
did 20 / 105 patterns 9:30
did 30 / 105 patterns 9:30
did 40 / 105 patterns 9:30
did 50 / 105 patterns 9:30
did 60 / 105 patterns 9:30
did 70 / 105 patterns 9:30
did 80 / 105 patterns 9:30
did 90 / 105 patterns 9:31
did 100 / 105 patterns 9:31
did 105 / 105 patterns 9:31end of tree file.
Time used: 9:31
Model 7: beta
TREE # 1
(6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.081323 0.016324 0.017944 0.094451 0.070232 0.059210 0.019932 0.069296 0.035181 0.025202 0.082569 0.060567 0.094692 0.107045 0.088901 0.108708 0.091809 0.108776 0.088508 0.099329 0.103981 0.057389 0.105778 0.082042 0.010263 0.040958 0.048465 0.024364 0.020539 0.034174 0.108737 0.099111 0.046438 0.047214 0.023889 0.078732 0.068634 0.108886 0.038903 0.085005 0.030227 0.069996 0.088066 0.017550 0.060881 5.534354 0.978638 1.778055
ntime & nrate & np: 45 1 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 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 4.388656
np = 48
lnL0 = -2538.868187
Iterating by ming2
Initial: fx= 2538.868187
x= 0.08132 0.01632 0.01794 0.09445 0.07023 0.05921 0.01993 0.06930 0.03518 0.02520 0.08257 0.06057 0.09469 0.10704 0.08890 0.10871 0.09181 0.10878 0.08851 0.09933 0.10398 0.05739 0.10578 0.08204 0.01026 0.04096 0.04846 0.02436 0.02054 0.03417 0.10874 0.09911 0.04644 0.04721 0.02389 0.07873 0.06863 0.10889 0.03890 0.08500 0.03023 0.07000 0.08807 0.01755 0.06088 5.53435 0.97864 1.77806
1 h-m-p 0.0000 0.0001 1579.0696 ++ 2361.613178 m 0.0001 101 | 1/48
2 h-m-p 0.0000 0.0000 62191.7427 ++ 2309.187290 m 0.0000 200 | 2/48
3 h-m-p 0.0000 0.0000 89086.3690 ++ 2260.725508 m 0.0000 298 | 2/48
4 h-m-p 0.0000 0.0000 133387.1132 ++ 2244.659942 m 0.0000 395 | 2/48
5 h-m-p 0.0000 0.0000 103251.7236 ++ 2231.957539 m 0.0000 492 | 3/48
6 h-m-p 0.0000 0.0000 381607.3723 ++ 2202.068321 m 0.0000 589 | 3/48
7 h-m-p 0.0000 0.0000 40049.7119 ++ 2177.498170 m 0.0000 685 | 4/48
8 h-m-p 0.0000 0.0000 48147.9033 ++ 2166.953493 m 0.0000 781 | 4/48
9 h-m-p -0.0000 -0.0000 31382.1932
h-m-p: -0.00000000e+00 -0.00000000e+00 3.13821932e+04 2166.953493
.. | 4/48
10 h-m-p 0.0000 0.0000 296885.5420 -CYYCYCCC 2160.342122 7 0.0000 981 | 4/48
11 h-m-p 0.0000 0.0000 3750.6521 ++ 2144.022525 m 0.0000 1076 | 5/48
12 h-m-p 0.0000 0.0000 1748.2209 ++ 2138.245586 m 0.0000 1171 | 6/48
13 h-m-p 0.0000 0.0000 136002.7728 ++ 2129.495310 m 0.0000 1265 | 7/48
14 h-m-p 0.0000 0.0000 164627.1580 ++ 2067.490646 m 0.0000 1358 | 8/48
15 h-m-p 0.0000 0.0000 12948.5611 +YCYYCC 2009.522099 5 0.0000 1459 | 8/48
16 h-m-p 0.0000 0.0000 5328.0362 +YYCYCCC 1990.531247 6 0.0000 1560 | 8/48
17 h-m-p 0.0000 0.0000 42164.9811 YCYCCC 1989.182441 5 0.0000 1659 | 8/48
18 h-m-p 0.0000 0.0000 4276.2301 +YYYCC 1985.633686 4 0.0000 1756 | 7/48
19 h-m-p 0.0000 0.0000 39895.9763 +YYCCC 1984.187756 4 0.0000 1854 | 7/48
20 h-m-p 0.0000 0.0000 26144.7998 ++ 1982.967772 m 0.0000 1946 | 8/48
21 h-m-p 0.0000 0.0000 6451.0201 +YYCYCCC 1971.315654 6 0.0000 2049 | 8/48
22 h-m-p 0.0000 0.0000 1857.5683 +YYCYCC 1965.330602 5 0.0000 2148 | 8/48
23 h-m-p 0.0000 0.0000 1566.1127 +YYYCCCCC 1959.071157 7 0.0000 2251 | 8/48
24 h-m-p 0.0000 0.0000 9088.9237 +YYYCCC 1952.642182 5 0.0000 2350 | 8/48
25 h-m-p 0.0000 0.0000 1152.0480 +YYYYCCC 1946.852992 6 0.0000 2450 | 8/48
26 h-m-p 0.0000 0.0000 6362.4160 +YYCYCC 1944.605998 5 0.0000 2549 | 8/48
27 h-m-p 0.0000 0.0000 14006.0419 +YCYYYCCCCC 1931.753288 9 0.0000 2655 | 8/48
28 h-m-p 0.0000 0.0000 5226.2803 +YYCCCC 1930.720617 5 0.0000 2755 | 8/48
29 h-m-p 0.0000 0.0000 6623.1741 +YYYYYYCCCC 1927.752627 9 0.0000 2859 | 8/48
30 h-m-p 0.0000 0.0000 8056.2887 ++ 1922.094359 m 0.0000 2950 | 9/48
31 h-m-p 0.0000 0.0000 2780.1014 +YYYCCCCC 1916.053272 7 0.0000 3053 | 9/48
32 h-m-p 0.0000 0.0000 4675.5199 +YYCYCYC 1910.287130 6 0.0000 3152 | 9/48
33 h-m-p 0.0000 0.0000 2911.4944 ++ 1908.379931 m 0.0000 3242 | 10/48
34 h-m-p 0.0000 0.0000 39343.2756 +CYYCCCCC 1899.903858 7 0.0000 3345 | 10/48
35 h-m-p 0.0000 0.0000 2182.7990 ++ 1895.946484 m 0.0000 3434 | 11/48
36 h-m-p 0.0000 0.0000 7164.0870 ++ 1887.629336 m 0.0000 3523 | 12/48
37 h-m-p 0.0000 0.0000 10203.7374 ++ 1887.461989 m 0.0000 3611 | 13/48
38 h-m-p 0.0000 0.0000 27513.9895 ++ 1880.495533 m 0.0000 3698 | 14/48
39 h-m-p 0.0000 0.0000 1147.1769 ++ 1878.781540 m 0.0000 3784 | 15/48
40 h-m-p 0.0000 0.0000 1995.6695 ++ 1877.473916 m 0.0000 3869 | 16/48
41 h-m-p 0.0000 0.0000 556.4622 ++ 1877.330179 m 0.0000 3953 | 17/48
42 h-m-p 0.0000 0.0000 282.8394 ++ 1873.236887 m 0.0000 4036 | 18/48
43 h-m-p 0.0004 0.0475 13.0041 +++CYYCYCCC 1855.916829 7 0.0388 4132 | 18/48
44 h-m-p 0.0040 0.0202 23.8855 CYCCC 1853.477650 4 0.0083 4220 | 18/48
45 h-m-p 0.0299 0.1495 1.9965 CYCCCC 1852.684274 5 0.0417 4310 | 18/48
46 h-m-p 0.0129 0.0647 5.7341 +YYYCYYCCC 1846.012654 8 0.0570 4404 | 18/48
47 h-m-p 0.3558 1.7830 0.9184 +YYCCC 1840.359759 4 1.0769 4492 | 18/48
48 h-m-p 0.0853 0.4267 3.4474 CYCCC 1839.381808 4 0.0745 4580 | 18/48
49 h-m-p 0.2328 1.1641 0.0471 YCYCCC 1837.092091 5 0.6064 4669 | 18/48
50 h-m-p 0.0306 0.9350 0.9326 ++YCYCCC 1834.747957 5 0.6005 4760 | 18/48
51 h-m-p 0.2414 1.2068 0.4065 +YYCCC 1831.961889 4 0.8452 4848 | 18/48
52 h-m-p 0.1255 0.6277 0.2053 YCYCCC 1831.273117 5 0.3260 4937 | 17/48
53 h-m-p 0.0004 0.0018 35.1659 --YC 1831.272847 1 0.0000 5021 | 17/48
54 h-m-p 0.0051 1.3906 0.0762 +++CCC 1830.495566 2 0.3895 5110 | 17/48
55 h-m-p 0.0388 0.1939 0.1133 ++ 1830.261274 m 0.1939 5192 | 18/48
56 h-m-p 0.0528 2.5771 0.4161 ++YYY 1829.413505 2 0.8447 5278 | 18/48
57 h-m-p 0.8619 4.3096 0.2092 CCCC 1828.850389 3 1.3588 5365 | 18/48
58 h-m-p 0.7860 3.9302 0.1309 CCCC 1828.434531 3 1.3192 5452 | 17/48
59 h-m-p 0.0016 0.0078 44.0721 ---Y 1828.434469 0 0.0000 5536 | 17/48
60 h-m-p 0.0160 8.0000 0.0866 ++++YCC 1827.687158 2 3.4717 5625 | 17/48
61 h-m-p 0.3472 1.7359 0.2260 ++ 1826.765570 m 1.7359 5707 | 18/48
62 h-m-p 1.1264 5.6321 0.0160 CCC 1826.430351 2 1.0638 5793 | 18/48
63 h-m-p 0.0661 5.5165 0.2572 ++CCC 1826.218426 2 1.1912 5880 | 18/48
64 h-m-p 1.1537 5.7687 0.0742 CCCC 1826.066297 3 1.6135 5967 | 18/48
65 h-m-p 0.6718 8.0000 0.1783 YC 1825.986249 1 1.4736 6049 | 18/48
66 h-m-p 1.6000 8.0000 0.0800 CCC 1825.909945 2 2.0043 6134 | 18/48
67 h-m-p 1.6000 8.0000 0.0982 YC 1825.795684 1 2.8942 6216 | 18/48
68 h-m-p 1.6000 8.0000 0.1557 CCC 1825.689179 2 2.1382 6301 | 18/48
69 h-m-p 1.6000 8.0000 0.0675 YC 1825.587927 1 3.7871 6383 | 18/48
70 h-m-p 1.6000 8.0000 0.1469 YC 1825.423248 1 3.8388 6465 | 18/48
71 h-m-p 1.6000 8.0000 0.1508 CCC 1825.341844 2 1.7821 6550 | 18/48
72 h-m-p 1.4491 8.0000 0.1855 YC 1825.284649 1 2.5785 6632 | 18/48
73 h-m-p 1.6000 8.0000 0.1378 YC 1825.221402 1 3.2139 6714 | 18/48
74 h-m-p 1.6000 8.0000 0.1277 YC 1825.163282 1 3.1994 6796 | 18/48
75 h-m-p 1.6000 8.0000 0.0422 YC 1825.127054 1 2.6564 6878 | 18/48
76 h-m-p 1.4104 8.0000 0.0794 YC 1825.095611 1 2.9204 6960 | 18/48
77 h-m-p 1.6000 8.0000 0.0752 +YC 1825.030651 1 5.2656 7043 | 18/48
78 h-m-p 0.9294 8.0000 0.4263 +CCC 1824.928786 2 3.2552 7129 | 18/48
79 h-m-p 1.6000 8.0000 0.3779 +YC 1824.815245 1 4.6856 7212 | 18/48
80 h-m-p 1.6000 8.0000 0.5167 YCCC 1824.655964 3 2.9417 7298 | 18/48
81 h-m-p 1.6000 8.0000 0.0924 CCC 1824.638660 2 1.7242 7383 | 18/48
82 h-m-p 1.6000 8.0000 0.0645 YC 1824.625988 1 3.4305 7465 | 18/48
83 h-m-p 1.6000 8.0000 0.1034 YC 1824.614196 1 3.0200 7547 | 18/48
84 h-m-p 1.6000 8.0000 0.1821 +YC 1824.590076 1 4.9072 7630 | 18/48
85 h-m-p 1.6000 8.0000 0.0315 YC 1824.552724 1 3.6181 7712 | 18/48
86 h-m-p 1.6000 8.0000 0.0259 YC 1824.533221 1 2.6006 7794 | 18/48
87 h-m-p 0.2580 8.0000 0.2612 ++YC 1824.509684 1 3.3955 7878 | 18/48
88 h-m-p 1.6000 8.0000 0.0882 CC 1824.500809 1 1.8132 7961 | 18/48
89 h-m-p 1.6000 8.0000 0.0613 +YC 1824.495592 1 4.2039 8044 | 18/48
90 h-m-p 1.6000 8.0000 0.0421 +C 1824.479505 0 6.5451 8126 | 18/48
91 h-m-p 0.9473 8.0000 0.2912 +YC 1824.463242 1 2.9315 8209 | 18/48
92 h-m-p 1.6000 8.0000 0.0600 YC 1824.452179 1 2.9700 8291 | 18/48
93 h-m-p 1.6000 8.0000 0.0458 CC 1824.449573 1 1.7996 8374 | 18/48
94 h-m-p 1.6000 8.0000 0.0163 ++ 1824.441188 m 8.0000 8455 | 18/48
95 h-m-p 0.7859 8.0000 0.1663 +CC 1824.413844 1 3.5994 8539 | 18/48
96 h-m-p 1.3396 8.0000 0.4467 CC 1824.402300 1 1.5447 8622 | 18/48
97 h-m-p 1.6000 8.0000 0.0092 YC 1824.402138 1 1.1255 8704 | 18/48
98 h-m-p 1.6000 8.0000 0.0019 ++ 1824.402021 m 8.0000 8785 | 18/48
99 h-m-p 0.4981 8.0000 0.0303 +++ 1824.400650 m 8.0000 8867 | 18/48
100 h-m-p 0.3511 8.0000 0.6911 +CC 1824.398130 1 1.2645 8951 | 18/48
101 h-m-p 1.6000 8.0000 0.0113 C 1824.397831 0 1.7273 9032 | 18/48
102 h-m-p 1.6000 8.0000 0.0098 ++ 1824.397217 m 8.0000 9113 | 18/48
103 h-m-p 0.0566 8.0000 1.3900 ++YC 1824.391232 1 1.4556 9197 | 18/48
104 h-m-p 1.6000 8.0000 0.5172 CC 1824.389004 1 2.1671 9280 | 18/48
105 h-m-p 1.6000 8.0000 0.0881 C 1824.388972 0 1.4526 9361 | 18/48
106 h-m-p 1.6000 8.0000 0.0138 ++ 1824.388841 m 8.0000 9442 | 18/48
107 h-m-p 0.2830 8.0000 0.3896 +YC 1824.387868 1 2.6645 9525 | 18/48
108 h-m-p 1.6000 8.0000 0.2623 ++ 1824.382775 m 8.0000 9606 | 18/48
109 h-m-p 1.6000 8.0000 1.2098 CY 1824.381999 1 1.7499 9689 | 18/48
110 h-m-p 1.6000 8.0000 0.2164 YC 1824.381863 1 2.6188 9771 | 18/48
111 h-m-p 1.6000 8.0000 0.1036 ++ 1824.380806 m 8.0000 9852 | 18/48
112 h-m-p 0.0844 7.2125 9.8273 ++YCC 1824.364738 2 2.2037 9938 | 18/48
113 h-m-p 1.6000 8.0000 3.2150 CC 1824.359577 1 2.0781 10021 | 18/48
114 h-m-p 1.6000 8.0000 2.2998 +YC 1824.355116 1 4.0547 10104 | 18/48
115 h-m-p 1.6000 8.0000 0.7675 CC 1824.353737 1 1.8506 10187 | 18/48
116 h-m-p 1.6000 8.0000 0.6676 C 1824.353549 0 1.5006 10268 | 18/48
117 h-m-p 1.6000 8.0000 0.3153 YC 1824.353494 1 3.8588 10350 | 18/48
118 h-m-p 1.6000 8.0000 0.3534 ++ 1824.353289 m 8.0000 10431 | 18/48
119 h-m-p 1.6000 8.0000 0.4204 ++ 1824.351387 m 8.0000 10512 | 18/48
120 h-m-p 0.1581 1.7093 21.2775 ++ 1824.341705 m 1.7093 10593 | 19/48
121 h-m-p 1.6000 8.0000 0.3645 YC 1824.341423 1 0.2297 10675 | 19/48
122 h-m-p 0.0274 2.2360 3.0541 C 1824.339671 0 0.0292 10755 | 19/48
123 h-m-p 1.6000 8.0000 0.0027 Y 1824.339646 0 1.0568 10835 | 19/48
124 h-m-p 1.6000 8.0000 0.0002 C 1824.339646 0 1.3191 10915 | 19/48
125 h-m-p 1.6000 8.0000 0.0000 C 1824.339646 0 0.5718 10995 | 19/48
126 h-m-p 1.2277 8.0000 0.0000 --Y 1824.339646 0 0.0345 11077
Out..
lnL = -1824.339646
11078 lfun, 121858 eigenQcodon, 4985100 P(t)
end of tree file.
Time used: 38:12
Model 8: beta&w>1
TREE # 1
(6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.059582 0.011412 0.027924 0.107952 0.034355 0.053516 0.093362 0.063598 0.060714 0.074315 0.068711 0.044760 0.031223 0.070421 0.038351 0.076012 0.011274 0.021196 0.015847 0.073295 0.032638 0.095898 0.095070 0.040073 0.029883 0.024403 0.109026 0.020041 0.043105 0.036189 0.057338 0.098557 0.085399 0.047267 0.038325 0.019996 0.048520 0.049753 0.096601 0.063206 0.095160 0.033755 0.072139 0.092259 0.061287 5.536393 0.900000 0.562869 1.017427 1.300000
ntime & nrate & np: 45 2 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 3.919335
np = 50
lnL0 = -2350.280106
Iterating by ming2
Initial: fx= 2350.280106
x= 0.05958 0.01141 0.02792 0.10795 0.03435 0.05352 0.09336 0.06360 0.06071 0.07431 0.06871 0.04476 0.03122 0.07042 0.03835 0.07601 0.01127 0.02120 0.01585 0.07330 0.03264 0.09590 0.09507 0.04007 0.02988 0.02440 0.10903 0.02004 0.04310 0.03619 0.05734 0.09856 0.08540 0.04727 0.03833 0.02000 0.04852 0.04975 0.09660 0.06321 0.09516 0.03376 0.07214 0.09226 0.06129 5.53639 0.90000 0.56287 1.01743 1.30000
1 h-m-p 0.0000 0.0001 1396.1205 ++ 2221.500150 m 0.0001 105 | 1/50
2 h-m-p 0.0000 0.0000 52462.3024 ++ 2155.787984 m 0.0000 208 | 2/50
3 h-m-p 0.0000 0.0000 32512.6037 ++ 2124.368404 m 0.0000 310 | 2/50
4 h-m-p 0.0000 0.0000 81869.5302 ++ 2120.914392 m 0.0000 411 | 3/50
5 h-m-p 0.0000 0.0000 168179.3979 ++ 2114.529859 m 0.0000 512 | 3/50
6 h-m-p 0.0000 0.0000 57293.3303 ++ 2112.389534 m 0.0000 612 | 4/50
7 h-m-p 0.0000 0.0000 63378.3671 ++ 2092.170038 m 0.0000 712 | 5/50
8 h-m-p 0.0000 0.0000 6941.0833 ++ 2027.525807 m 0.0000 811 | 6/50
9 h-m-p 0.0000 0.0000 65188.0487 YCYCCC 2027.281594 5 0.0000 917 | 6/50
10 h-m-p 0.0000 0.0000 89198.7292 +YYYYCC 2025.384882 5 0.0000 1021 | 6/50
11 h-m-p 0.0000 0.0000 37859.7840 +YCYYYC 2018.850246 5 0.0000 1125 | 6/50
12 h-m-p 0.0000 0.0000 32404.0929 +YYCYCCC 2005.041905 6 0.0000 1232 | 6/50
13 h-m-p 0.0000 0.0000 150071.4472 ++ 1999.631413 m 0.0000 1329 | 6/50
14 h-m-p -0.0000 -0.0000 19012.8399
h-m-p: -0.00000000e+00 -0.00000000e+00 1.90128399e+04 1999.631413
.. | 6/50
15 h-m-p 0.0000 0.0000 24888.8303 CYCYCYCC 1979.314979 7 0.0000 1532 | 6/50
16 h-m-p 0.0000 0.0000 1612.2595 ++ 1963.601745 m 0.0000 1629 | 7/50
17 h-m-p 0.0000 0.0000 2561.5349 ++ 1948.178446 m 0.0000 1726 | 8/50
18 h-m-p 0.0000 0.0000 22298.9084 ++ 1919.601280 m 0.0000 1822 | 9/50
19 h-m-p 0.0000 0.0000 131057.2758 ++ 1908.629976 m 0.0000 1917 | 10/50
20 h-m-p 0.0000 0.0000 35985.6548 ++ 1899.970086 m 0.0000 2011 | 11/50
21 h-m-p 0.0000 0.0000 9585.5533 ++ 1898.983174 m 0.0000 2104 | 12/50
22 h-m-p 0.0000 0.0000 2267.7257 ++ 1896.446297 m 0.0000 2196 | 13/50
23 h-m-p 0.0000 0.0000 1875.4302 ++ 1892.726745 m 0.0000 2287 | 14/50
24 h-m-p 0.0000 0.0000 13088.1959 ++ 1875.885862 m 0.0000 2377 | 15/50
25 h-m-p 0.0000 0.0000 11653.8129 ++ 1861.490256 m 0.0000 2466 | 16/50
26 h-m-p 0.0000 0.0000 6696.9616 ++ 1860.541744 m 0.0000 2554 | 17/50
27 h-m-p 0.0000 0.0000 793.8587 +YYYYYCCCCC 1857.202775 9 0.0000 2655 | 17/50
28 h-m-p 0.0000 0.0000 1712.1407 ++ 1852.965640 m 0.0000 2741 | 18/50
29 h-m-p 0.0000 0.0000 1479.9381 +YYYCCC 1846.559813 5 0.0000 2835 | 18/50
30 h-m-p 0.0000 0.0000 350.3340 +YCYCC 1845.188523 4 0.0000 2927 | 18/50
31 h-m-p 0.0000 0.0001 229.2262 CCCC 1844.843222 3 0.0000 3018 | 18/50
32 h-m-p 0.0000 0.0001 216.2471 CCCC 1844.488205 3 0.0000 3109 | 18/50
33 h-m-p 0.0000 0.0003 143.7994 CCC 1844.281576 2 0.0000 3198 | 18/50
34 h-m-p 0.0000 0.0003 165.0247 +YYCC 1843.741530 3 0.0001 3288 | 18/50
35 h-m-p 0.0000 0.0003 432.6854 YCCCC 1842.790011 4 0.0001 3380 | 18/50
36 h-m-p 0.0001 0.0003 411.6949 YCCCC 1840.859481 4 0.0002 3472 | 18/50
37 h-m-p 0.0000 0.0000 2473.9978 ++ 1837.555935 m 0.0000 3557 | 19/50
38 h-m-p 0.0000 0.0001 2454.4144 +YYCCCCC 1836.072267 6 0.0001 3653 | 19/50
39 h-m-p 0.0000 0.0000 2805.0260 YCYCCC 1835.476288 5 0.0000 3745 | 19/50
40 h-m-p 0.0001 0.0003 194.2636 YC 1835.411740 1 0.0000 3830 | 19/50
41 h-m-p 0.0000 0.0013 223.1224 ++YYCCC 1834.474537 4 0.0004 3922 | 19/50
42 h-m-p 0.0000 0.0001 1112.1142 CCCCC 1834.058792 4 0.0000 4014 | 19/50
43 h-m-p 0.0001 0.0003 121.5299 YCC 1834.018333 2 0.0000 4101 | 19/50
44 h-m-p 0.0003 0.0015 13.5522 C 1834.011457 0 0.0001 4185 | 19/50
45 h-m-p 0.0000 0.0017 28.0300 +YC 1833.967084 1 0.0003 4271 | 19/50
46 h-m-p 0.0000 0.0009 268.6608 +++ 1831.992931 m 0.0009 4356 | 20/50
47 h-m-p 0.0059 0.0293 10.4342 YCC 1831.164399 2 0.0092 4443 | 20/50
48 h-m-p 0.0191 0.2793 5.0010 +CCCC 1828.858569 3 0.0927 4533 | 20/50
49 h-m-p 0.0481 0.2405 1.2999 CYC 1828.241687 2 0.0538 4619 | 20/50
50 h-m-p 0.0637 0.3183 0.3901 YCCCC 1827.625707 4 0.1366 4709 | 20/50
51 h-m-p 0.0462 0.2312 0.6722 CCCC 1827.299578 3 0.0599 4798 | 20/50
52 h-m-p 0.0340 0.1698 0.2346 YCYCCC 1826.748992 5 0.0832 4889 | 20/50
53 h-m-p 0.0150 0.5136 1.3020 +CC 1826.504299 1 0.0846 4975 | 20/50
54 h-m-p 0.2522 1.2612 0.0962 CCCC 1826.367392 3 0.3110 5064 | 20/50
55 h-m-p 0.1616 0.8079 0.1507 YCC 1826.229829 2 0.1199 5150 | 20/50
56 h-m-p 0.0989 2.2833 0.1828 +CCC 1826.049524 2 0.5162 5238 | 20/50
57 h-m-p 0.4347 2.1736 0.1680 CYC 1825.900928 2 0.4057 5324 | 20/50
58 h-m-p 0.7164 3.5819 0.0643 CCC 1825.743811 2 0.7905 5411 | 20/50
59 h-m-p 0.7754 5.4318 0.0656 CCCC 1825.520292 3 1.1729 5500 | 20/50
60 h-m-p 0.4957 3.8168 0.1552 YCCC 1825.197373 3 1.0685 5588 | 20/50
61 h-m-p 0.6345 3.1726 0.1754 CCCC 1825.002817 3 0.8332 5677 | 20/50
62 h-m-p 0.8814 4.4072 0.0291 CYC 1824.890611 2 0.8370 5763 | 20/50
63 h-m-p 0.7717 8.0000 0.0316 CCC 1824.834514 2 0.9950 5850 | 20/50
64 h-m-p 1.0499 8.0000 0.0299 CCC 1824.778973 2 1.1881 5937 | 20/50
65 h-m-p 0.6688 6.1815 0.0531 CCC 1824.734583 2 0.8162 6024 | 20/50
66 h-m-p 0.7521 8.0000 0.0577 CCC 1824.701703 2 1.0703 6111 | 20/50
67 h-m-p 1.2246 8.0000 0.0504 YC 1824.688195 1 0.8267 6195 | 20/50
68 h-m-p 1.2511 8.0000 0.0333 YC 1824.680947 1 0.7115 6279 | 20/50
69 h-m-p 0.5925 8.0000 0.0400 YC 1824.676527 1 1.1321 6363 | 20/50
70 h-m-p 1.6000 8.0000 0.0206 YC 1824.671824 1 3.4272 6447 | 20/50
71 h-m-p 0.9253 8.0000 0.0763 +C 1824.656832 0 3.8597 6531 | 20/50
72 h-m-p 1.2168 8.0000 0.2420 +YC 1824.617389 1 3.4107 6616 | 20/50
73 h-m-p 1.4860 8.0000 0.5554 YCC 1824.563533 2 2.4010 6702 | 20/50
74 h-m-p 1.6000 8.0000 0.8065 YC 1824.508395 1 2.5674 6786 | 20/50
75 h-m-p 1.6000 8.0000 1.2500 YCC 1824.453829 2 2.8352 6872 | 20/50
76 h-m-p 1.6000 8.0000 1.9278 CC 1824.418800 1 2.0020 6957 | 20/50
77 h-m-p 1.6000 8.0000 2.1003 YCC 1824.397549 2 2.4723 7043 | 20/50
78 h-m-p 1.6000 8.0000 2.7443 YC 1824.377908 1 3.2734 7127 | 20/50
79 h-m-p 1.6000 8.0000 4.1617 YCC 1824.362819 2 2.6959 7213 | 20/50
80 h-m-p 1.6000 8.0000 6.1129 YC 1824.352330 1 2.6567 7297 | 20/50
81 h-m-p 1.0607 5.3037 8.1364 YC 1824.345412 1 2.6046 7381 | 20/50
82 h-m-p 0.3941 1.9707 11.1438 ++ 1824.340443 m 1.9707 7464 | 20/50
83 h-m-p 0.0000 0.0000 23.4288
h-m-p: 0.00000000e+00 0.00000000e+00 2.34288135e+01 1824.340443
.. | 20/50
84 h-m-p 0.0000 0.0017 6.6647 C 1824.340171 0 0.0000 7627 | 20/50
85 h-m-p 0.0000 0.0054 3.3988 C 1824.340057 0 0.0000 7710 | 20/50
86 h-m-p 0.0001 0.0265 1.0071 C 1824.340046 0 0.0000 7793 | 20/50
87 h-m-p 0.0001 0.0184 0.3540 C 1824.340045 0 0.0000 7876 | 20/50
88 h-m-p 0.0002 0.0949 0.2214 Y 1824.340044 0 0.0000 7959 | 20/50
89 h-m-p 0.0004 0.2181 0.0794 -C 1824.340044 0 0.0000 8043 | 20/50
90 h-m-p 0.0004 0.1792 0.0466 --C 1824.340044 0 0.0000 8128 | 20/50
91 h-m-p 0.0020 1.0166 0.0231 --C 1824.340044 0 0.0000 8213 | 20/50
92 h-m-p 0.0031 1.5496 0.0234 --Y 1824.340044 0 0.0001 8298 | 20/50
93 h-m-p 0.0009 0.4528 0.0721 --C 1824.340044 0 0.0000 8383 | 20/50
94 h-m-p 0.0029 1.4653 0.0333 --Y 1824.340044 0 0.0001 8468 | 20/50
95 h-m-p 0.0076 3.8092 0.0372 --Y 1824.340044 0 0.0001 8553 | 20/50
96 h-m-p 0.0014 0.6869 0.1982 -Y 1824.340044 0 0.0002 8637 | 20/50
97 h-m-p 0.0004 0.1851 2.3316 C 1824.340041 0 0.0003 8720 | 20/50
98 h-m-p 0.0004 0.1780 29.9921 C 1824.339984 0 0.0005 8803 | 20/50
99 h-m-p 0.0000 0.0094 463.6834 C 1824.339902 0 0.0000 8886 | 20/50
100 h-m-p 0.0001 0.0039 240.3333 Y 1824.339891 0 0.0000 8969 | 20/50
101 h-m-p 0.0009 0.0818 2.9210 -Y 1824.339890 0 0.0000 9053 | 20/50
102 h-m-p 0.0021 0.3197 0.0503 -------C 1824.339890 0 0.0000 9143 | 20/50
103 h-m-p 0.0158 7.9185 0.0106 ---C 1824.339890 0 0.0001 9229 | 20/50
104 h-m-p 0.0160 8.0000 0.0153 Y 1824.339890 0 0.0024 9312 | 20/50
105 h-m-p 0.0051 2.5686 4.5913 Y 1824.339859 0 0.0031 9395 | 20/50
106 h-m-p 0.0000 0.0144 282.7615 C 1824.339815 0 0.0001 9478 | 20/50
107 h-m-p 0.0000 0.0093 741.4451 Y 1824.339788 0 0.0000 9561 | 20/50
108 h-m-p 0.3825 1.9123 0.0090 ----Y 1824.339788 0 0.0002 9648 | 20/50
109 h-m-p 0.0160 8.0000 0.1057 +C 1824.339768 0 0.0946 9732 | 20/50
110 h-m-p 0.0105 0.0799 0.9486 ----C 1824.339768 0 0.0000 9819 | 20/50
111 h-m-p 0.0360 8.0000 0.0004 --------Y 1824.339768 0 0.0000 9910 | 20/50
112 h-m-p 0.0093 4.6601 0.0053 ----------C 1824.339768 0 0.0000 10003 | 20/50
113 h-m-p 0.0153 7.6407 0.0009 C 1824.339768 0 0.0228 10086 | 20/50
114 h-m-p 0.0000 0.0070 1.0331 Y 1824.339768 0 0.0000 10169 | 20/50
115 h-m-p 0.0799 8.0000 0.0005 -------Y 1824.339768 0 0.0000 10259 | 20/50
116 h-m-p 0.0108 5.4115 0.0012 C 1824.339768 0 0.0108 10342 | 20/50
117 h-m-p 0.0119 5.9652 0.0013 ++Y 1824.339768 0 0.1514 10427 | 20/50
118 h-m-p 0.2885 8.0000 0.0007 Y 1824.339768 0 0.2276 10510 | 20/50
119 h-m-p 0.1926 7.6823 0.0008 +Y 1824.339768 0 0.5217 10594 | 20/50
120 h-m-p 0.3942 5.4036 0.0011 Y 1824.339768 0 0.7658 10677 | 20/50
121 h-m-p 0.6016 3.6309 0.0014 Y 1824.339768 0 1.3751 10760 | 20/50
122 h-m-p 0.3678 1.8391 0.0017 ++ 1824.339768 m 1.8391 10843 | 21/50
123 h-m-p 0.3997 8.0000 0.0012 +Y 1824.339768 0 1.2111 10927 | 21/50
124 h-m-p 1.6000 8.0000 0.0002 C 1824.339768 0 2.3584 11009 | 21/50
125 h-m-p 1.6000 8.0000 0.0002 Y 1824.339768 0 0.9794 11091 | 21/50
126 h-m-p 1.6000 8.0000 0.0000 ++ 1824.339768 m 8.0000 11173 | 21/50
127 h-m-p 1.4411 8.0000 0.0001 -----C 1824.339768 0 0.0004 11260
Out..
lnL = -1824.339768
11261 lfun, 135132 eigenQcodon, 5574195 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) = -1834.021362 S = -1786.632866 -72.567905
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 105 patterns 1:10:18
did 20 / 105 patterns 1:10:18
did 30 / 105 patterns 1:10:18
did 40 / 105 patterns 1:10:18
did 50 / 105 patterns 1:10:19
did 60 / 105 patterns 1:10:19
did 70 / 105 patterns 1:10:19
did 80 / 105 patterns 1:10:19
did 90 / 105 patterns 1:10:19
did 100 / 105 patterns 1:10:19
did 105 / 105 patterns 1:10:20end of tree file.
Time used: 1:10:20
The loglikelihoods for models M1, M2, M7 and M8 are -1824.326234 -1824.326112 -1824.339646 -1824.339768 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGT
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGT
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFHVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWLRYTRQKPGGT
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGT
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGT
**************:********:*****************..*****************
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 LIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 PIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPK
************************ ********:*************************
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNPRGTGNQPRKRDQSAPAA
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAA
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 HQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNPRGTGNQPRKRDQSAPAA
******************************************.*****************
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRFRTGANVGSADTEKTGMADPRIMALARHVPGVQ
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 VRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQ
*************************** ********************************
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYETPTKPTKDKK
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 EMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
*************.**********:*************************.*********
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 PGKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
*.****************************************
>USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCTAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGACACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTTGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCGTGGTTTCAGGTGCTCAAAGCTCAAAATAAAAAGGCTACTCACCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTCTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGATAAACAAGACCAGTCTGCTAAACCTAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGACTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTATTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGTAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCTCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGGCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGTTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATCACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAATCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGGCAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAATCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCACGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTATTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAAACCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGTGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTTTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCGTGGTTTCAGGTGCTCAAAGCTCAAAATAAAAAGGCTACTCACCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTCTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGATAAACAAGACCAGTCTGCTAAACCTAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGACTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG
>USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYETPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTLIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPGKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFHVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRFRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWLRYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKGSGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTISQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLESNFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKKPDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
Reading sequence file /data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/codeml/fasta/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Found 30 sequences of length 1026
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.9%
Found 40 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 3
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 35 polymorphic sites
**p-Value(s)**
----------
NSS: 3.25e-01 (1000 permutations)
Max Chi^2: 7.92e-01 (1000 permutations)
PHI (Permutation): 4.80e-02 (1000 permutations)
PHI (Normal): 4.22e-02
#NEXUS
[ID: 9772773053]
begin taxa;
dimensions ntax=30;
taxlabels
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
2 IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15,
3 HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15,
4 MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15,
5 NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
6 CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15,
7 OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15,
8 PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
9 PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15,
10 PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15,
11 PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15,
12 PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15,
13 PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
14 CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15,
15 PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15,
16 PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15,
17 PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15,
18 USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15,
19 SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
20 USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15,
21 USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
22 USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15,
23 CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15,
24 USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15,
25 USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15,
26 USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
27 USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15,
28 CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15,
29 CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15,
30 IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:4.894767e-04,3:8.252278e-04,((((((2:4.589942e-04,4:4.262496e-04,(12:1.695865e-03,18:4.744046e-04)0.976:1.034761e-03,21:4.293816e-04,22:1.000306e-03,24:4.349425e-04)0.693:1.047871e-03,((5:4.657597e-04,26:4.726034e-04)0.957:1.039895e-03,(7:4.387514e-04,15:4.520704e-04,(19:2.298561e-03,27:4.245691e-04)0.975:1.085612e-03)0.810:1.054944e-03,9:4.548407e-04,13:1.076617e-03,(16:1.140860e-03,17:5.449971e-04)0.788:1.060173e-03,20:1.055109e-03,25:4.240220e-04,30:4.399204e-04)0.971:1.295015e-03)1.000:3.023077e-03,8:2.905945e-03,29:1.128595e-03)0.994:1.839004e-03,23:1.872738e-03)0.548:1.286549e-03,(6:1.264568e-03,((10:4.429192e-04,11:4.344954e-04)1.000:1.318576e-02,14:4.255033e-03)0.999:3.086962e-03)0.989:2.017086e-03)0.668:2.155285e-03,28:2.494320e-03)0.513:1.186812e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:4.894767e-04,3:8.252278e-04,((((((2:4.589942e-04,4:4.262496e-04,(12:1.695865e-03,18:4.744046e-04):1.034761e-03,21:4.293816e-04,22:1.000306e-03,24:4.349425e-04):1.047871e-03,((5:4.657597e-04,26:4.726034e-04):1.039895e-03,(7:4.387514e-04,15:4.520704e-04,(19:2.298561e-03,27:4.245691e-04):1.085612e-03):1.054944e-03,9:4.548407e-04,13:1.076617e-03,(16:1.140860e-03,17:5.449971e-04):1.060173e-03,20:1.055109e-03,25:4.240220e-04,30:4.399204e-04):1.295015e-03):3.023077e-03,8:2.905945e-03,29:1.128595e-03):1.839004e-03,23:1.872738e-03):1.286549e-03,(6:1.264568e-03,((10:4.429192e-04,11:4.344954e-04):1.318576e-02,14:4.255033e-03):3.086962e-03):2.017086e-03):2.155285e-03,28:2.494320e-03):1.186812e-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 -1900.35 -1926.59
2 -1897.86 -1925.36
--------------------------------------
TOTAL -1898.47 -1926.15
--------------------------------------
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} 0.084306 0.000256 0.055029 0.115905 0.082714 1056.45 1151.05 1.000
r(A<->C){all} 0.049620 0.000514 0.010752 0.091629 0.045951 597.33 729.85 1.002
r(A<->G){all} 0.135237 0.001969 0.061439 0.231267 0.129683 480.54 542.63 1.000
r(A<->T){all} 0.025012 0.000382 0.000006 0.063761 0.020645 465.78 595.44 1.002
r(C<->G){all} 0.046947 0.000596 0.006201 0.094274 0.043176 741.65 746.82 1.000
r(C<->T){all} 0.645530 0.004078 0.523578 0.774151 0.647242 531.82 572.09 1.000
r(G<->T){all} 0.097654 0.001605 0.029480 0.176098 0.091904 390.31 442.48 1.000
pi(A){all} 0.280728 0.000190 0.254682 0.307842 0.280668 1135.16 1140.70 1.000
pi(C){all} 0.276865 0.000186 0.250129 0.302900 0.276790 1065.50 1152.47 1.000
pi(G){all} 0.222465 0.000170 0.199146 0.250210 0.222550 1155.44 1176.51 1.000
pi(T){all} 0.219941 0.000152 0.196327 0.244465 0.219729 1105.34 1120.18 1.000
alpha{1,2} 0.384920 0.232241 0.000233 1.208362 0.240684 991.54 1030.43 1.000
alpha{3} 1.473955 1.118861 0.001804 3.488639 1.201474 948.77 968.71 1.002
pinvar{all} 0.730174 0.008879 0.548103 0.877043 0.748539 586.59 663.84 1.002
------------------------------------------------------------------------------------------------------
* 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/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 342
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 6 6 6 6 6 7 | Ser TCT 10 11 10 10 11 11 | Tyr TAT 6 6 6 6 6 6 | Cys TGT 0 0 0 0 0 0
TTC 5 5 5 5 5 4 | TCC 4 3 4 4 3 3 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 1 1 1 1 1 1 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 7 6 6 6 | Pro CCT 15 15 14 15 14 14 | His CAT 6 6 6 6 6 6 | Arg CGT 7 7 7 7 7 7
CTC 4 4 4 4 4 4 | CCC 9 9 9 9 10 10 | CAC 1 1 1 1 1 1 | CGC 3 3 3 3 3 3
CTA 2 2 2 2 2 2 | CCA 11 10 11 11 9 10 | Gln CAA 7 8 7 7 8 8 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 3 3 | CCG 1 2 1 1 2 2 | CAG 15 14 15 15 14 14 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 4 4 4 4 4 | Thr ACT 13 13 13 13 13 13 | Asn AAT 7 6 7 7 7 6 | Ser AGT 1 1 1 1 1 1
ATC 3 3 3 3 3 3 | ACC 10 10 10 10 10 10 | AAC 10 11 10 10 10 11 | AGC 1 1 1 1 1 1
ATA 1 1 1 1 1 1 | ACA 3 3 3 3 4 3 | Lys AAA 15 14 15 15 15 15 | Arg AGA 9 9 9 9 9 9
Met ATG 4 4 4 4 4 4 | ACG 2 2 2 2 2 2 | AAG 16 17 16 16 16 16 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 10 9 9 9 | Ala GCT 13 13 13 13 13 11 | Asp GAT 7 7 7 7 7 7 | Gly GGT 11 11 11 11 10 10
GTC 4 4 3 4 4 4 | GCC 5 5 5 5 5 7 | GAC 10 10 10 10 10 10 | GGC 10 10 10 10 11 11
GTA 4 4 4 4 4 4 | GCA 7 7 7 7 8 7 | Glu GAA 4 4 4 4 4 4 | GGA 6 6 6 6 6 6
GTG 2 2 2 2 2 2 | GCG 5 5 5 5 4 5 | GAG 8 8 8 8 8 8 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 7 6 7 6 6 6 | Ser TCT 10 10 11 10 10 10 | Tyr TAT 6 6 6 6 6 7 | Cys TGT 0 0 0 0 0 0
TTC 4 5 4 5 5 5 | TCC 4 4 3 2 4 4 | TAC 3 3 3 3 3 2 | TGC 0 0 0 0 0 0
Leu TTA 1 2 1 1 2 1 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 1 1 1 2 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 6 4 6 6 | Pro CCT 15 15 14 18 15 15 | His CAT 6 6 6 5 6 6 | Arg CGT 7 7 7 7 7 7
CTC 4 4 4 5 4 4 | CCC 9 9 10 8 9 8 | CAC 1 1 1 2 1 1 | CGC 3 3 3 3 3 3
CTA 2 1 2 2 1 2 | CCA 11 11 10 9 11 11 | Gln CAA 7 7 8 8 7 7 | CGA 1 1 1 1 1 1
CTG 3 3 3 4 3 3 | CCG 1 1 2 2 1 2 | CAG 15 15 14 14 15 15 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 4 4 4 4 4 | Thr ACT 13 13 13 15 13 13 | Asn AAT 7 7 6 7 7 7 | Ser AGT 1 1 1 1 1 1
ATC 3 3 3 2 3 3 | ACC 10 10 10 8 10 10 | AAC 10 10 11 10 10 10 | AGC 1 1 1 1 1 1
ATA 1 1 1 1 1 1 | ACA 3 3 3 3 3 3 | Lys AAA 15 15 15 16 15 15 | Arg AGA 9 9 9 9 9 9
Met ATG 4 4 4 5 4 4 | ACG 2 2 2 2 2 2 | AAG 16 16 16 15 16 16 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 9 9 | Ala GCT 13 13 11 14 13 13 | Asp GAT 7 7 7 7 7 7 | Gly GGT 11 11 11 10 11 11
GTC 4 4 4 3 4 4 | GCC 5 5 7 5 5 5 | GAC 10 10 10 10 10 10 | GGC 10 10 10 11 10 10
GTA 4 4 4 4 4 4 | GCA 7 7 7 7 7 7 | Glu GAA 4 4 4 4 4 4 | GGA 6 6 6 6 6 6
GTG 2 2 2 2 2 2 | GCG 5 5 5 5 5 5 | GAG 8 8 8 8 8 8 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 6 6 6 6 6 6 | Ser TCT 10 10 11 10 11 11 | Tyr TAT 6 6 6 6 6 6 | Cys TGT 0 0 0 0 0 0
TTC 5 5 5 5 5 5 | TCC 4 4 3 4 3 4 | TAC 3 3 3 3 3 3 | TGC 0 0 0 0 0 0
Leu TTA 1 1 1 1 1 2 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 6 6 5 6 | Pro CCT 15 15 14 15 15 15 | His CAT 6 6 6 6 6 6 | Arg CGT 7 7 6 7 7 7
CTC 4 4 4 5 4 4 | CCC 9 9 9 8 9 9 | CAC 1 1 1 1 1 1 | CGC 3 3 4 3 3 3
CTA 2 2 2 2 2 1 | CCA 11 11 11 11 10 11 | Gln CAA 7 7 7 7 8 7 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 4 3 | CCG 1 1 2 1 2 1 | CAG 15 15 15 15 14 15 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 5 4 4 3 4 | Thr ACT 13 13 14 13 13 13 | Asn AAT 7 7 7 7 7 7 | Ser AGT 1 1 1 1 1 1
ATC 3 3 3 3 3 3 | ACC 10 10 9 10 10 10 | AAC 10 10 10 10 10 10 | AGC 1 1 1 1 1 1
ATA 1 1 1 1 1 1 | ACA 3 3 3 3 3 3 | Lys AAA 15 15 15 15 14 15 | Arg AGA 9 9 9 9 9 9
Met ATG 4 4 4 4 5 4 | ACG 2 2 2 2 2 2 | AAG 16 16 16 16 17 16 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 8 9 9 8 9 | Ala GCT 13 13 12 13 13 12 | Asp GAT 7 7 7 7 7 7 | Gly GGT 11 11 11 11 11 11
GTC 4 4 4 4 4 4 | GCC 5 5 6 5 6 5 | GAC 10 10 10 10 9 10 | GGC 10 10 10 10 10 10
GTA 4 4 4 4 4 4 | GCA 7 7 8 7 7 7 | Glu GAA 4 4 4 4 4 4 | GGA 6 6 6 6 6 6
GTG 2 2 2 2 2 2 | GCG 5 5 4 5 5 5 | GAG 8 8 8 8 8 8 | GGG 1 1 1 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 6 6 6 6 6 6 | Ser TCT 10 10 10 11 10 10 | Tyr TAT 7 7 7 6 6 7 | Cys TGT 0 0 0 0 0 0
TTC 5 5 5 5 5 5 | TCC 4 4 4 3 4 4 | TAC 2 2 2 3 3 2 | TGC 0 0 0 0 0 0
Leu TTA 1 1 1 1 1 1 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 6 6 6 6 | Pro CCT 15 15 15 14 15 16 | His CAT 6 6 6 6 6 6 | Arg CGT 7 7 7 7 7 7
CTC 4 4 4 4 4 4 | CCC 8 8 8 9 9 7 | CAC 1 1 1 2 1 1 | CGC 3 3 3 3 3 3
CTA 2 2 2 2 2 2 | CCA 11 11 11 11 11 11 | Gln CAA 7 7 7 7 7 7 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 3 3 | CCG 2 2 2 2 1 1 | CAG 15 15 15 14 15 15 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 4 4 4 5 4 | Thr ACT 13 13 13 13 13 13 | Asn AAT 7 7 8 7 7 7 | Ser AGT 1 1 1 1 1 1
ATC 3 3 3 3 3 3 | ACC 10 10 10 10 10 11 | AAC 10 10 9 10 10 10 | AGC 1 1 1 1 1 1
ATA 1 1 1 1 1 1 | ACA 3 3 3 3 3 3 | Lys AAA 15 15 15 15 15 15 | Arg AGA 9 9 9 9 9 9
Met ATG 4 4 4 4 4 4 | ACG 2 2 2 2 2 2 | AAG 16 16 16 16 16 16 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 8 9 | Ala GCT 13 13 13 12 13 13 | Asp GAT 7 7 7 7 7 7 | Gly GGT 11 11 11 10 11 11
GTC 4 4 4 4 4 4 | GCC 5 5 5 6 5 5 | GAC 10 10 10 10 10 10 | GGC 10 10 10 11 10 10
GTA 4 4 4 4 4 4 | GCA 7 7 7 7 7 7 | Glu GAA 4 4 4 4 4 4 | GGA 6 6 6 6 6 6
GTG 2 2 2 2 2 3 | GCG 5 5 5 5 5 4 | GAG 8 8 8 8 8 8 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 6 6 6 8 6 6 | Ser TCT 10 11 10 10 10 10 | Tyr TAT 7 6 6 6 7 6 | Cys TGT 0 0 0 0 0 0
TTC 5 5 5 4 5 5 | TCC 4 4 4 3 4 2 | TAC 2 3 3 3 2 3 | TGC 0 0 0 0 0 0
Leu TTA 1 2 1 1 1 1 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 0 0 0 0 0 0 | TCG 1 1 1 1 1 2 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 7 6 6 4 | Pro CCT 15 15 14 14 16 18 | His CAT 6 6 6 6 6 5 | Arg CGT 7 7 7 6 7 7
CTC 4 4 4 4 4 5 | CCC 8 10 9 10 8 8 | CAC 1 1 1 1 1 2 | CGC 3 3 3 4 3 3
CTA 2 1 2 2 2 2 | CCA 11 10 11 10 11 9 | Gln CAA 7 8 7 8 7 8 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 3 4 | CCG 2 1 1 2 1 2 | CAG 15 14 15 14 15 14 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 4 4 4 4 4 | Thr ACT 13 13 13 13 13 15 | Asn AAT 7 7 7 7 7 7 | Ser AGT 1 1 1 1 1 1
ATC 3 3 3 3 3 2 | ACC 10 10 10 10 10 8 | AAC 10 10 10 10 10 10 | AGC 1 1 1 1 1 1
ATA 1 1 1 1 1 1 | ACA 3 3 3 3 3 3 | Lys AAA 15 15 15 15 15 16 | Arg AGA 9 9 9 9 9 9
Met ATG 4 4 4 4 4 5 | ACG 2 2 2 2 2 2 | AAG 16 16 16 16 16 15 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 9 9 | Ala GCT 13 11 13 11 13 14 | Asp GAT 7 7 7 7 7 7 | Gly GGT 11 11 11 10 11 10
GTC 4 4 4 4 4 3 | GCC 5 6 5 7 5 5 | GAC 10 10 10 10 10 10 | GGC 10 10 10 11 10 11
GTA 4 4 4 4 4 4 | GCA 7 7 7 8 7 7 | Glu GAA 4 4 4 4 4 4 | GGA 6 6 6 6 6 6
GTG 2 2 2 2 2 2 | GCG 5 5 5 4 5 5 | GAG 8 8 8 8 8 8 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C52
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21637 C:0.27875 A:0.28070 G:0.22417
#2: C2
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21053 G:0.19591
Average T:0.21637 C:0.27875 A:0.27973 G:0.22515
#3: C34
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.17251 C:0.32164 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23684 A:0.21345 G:0.19298
Average T:0.21832 C:0.27680 A:0.28070 G:0.22417
#4: C9
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21637 C:0.27875 A:0.28070 G:0.22417
#5: C5
position 1: T:0.12573 C:0.26901 A:0.29532 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35088 C:0.24269 A:0.21637 G:0.19006
Average T:0.21540 C:0.27875 A:0.28265 G:0.22320
#6: C1
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.34503 C:0.24854 A:0.21345 G:0.19298
Average T:0.21345 C:0.28168 A:0.28070 G:0.22417
#7: C42
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23684 A:0.21345 G:0.19298
Average T:0.21735 C:0.27778 A:0.28070 G:0.22417
#8: C33
position 1: T:0.12865 C:0.26901 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21735 C:0.27778 A:0.28070 G:0.22417
#9: C11
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.34795 C:0.24561 A:0.21345 G:0.19298
Average T:0.21442 C:0.28070 A:0.28070 G:0.22417
#10: C23
position 1: T:0.12281 C:0.27485 A:0.29240 G:0.30994
position 2: T:0.16667 C:0.32749 A:0.33626 G:0.16959
position 3: T:0.35965 C:0.22807 A:0.21345 G:0.19883
Average T:0.21637 C:0.27680 A:0.28070 G:0.22612
#11: C20
position 1: T:0.12865 C:0.26901 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21735 C:0.27778 A:0.28070 G:0.22417
#12: C45
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23392 A:0.21345 G:0.19591
Average T:0.21735 C:0.27680 A:0.28070 G:0.22515
#13: C22
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21637 C:0.27875 A:0.28070 G:0.22417
#14: C54
position 1: T:0.12573 C:0.27193 A:0.29532 G:0.30702
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21637 C:0.27875 A:0.28168 G:0.22320
#15: C21
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35088 C:0.23977 A:0.21637 G:0.19298
Average T:0.21540 C:0.27875 A:0.28168 G:0.22417
#16: C28
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.17251 C:0.32164 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21735 C:0.27778 A:0.28070 G:0.22417
#17: C3
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16667 C:0.32749 A:0.33333 G:0.17251
position 3: T:0.34795 C:0.23684 A:0.21053 G:0.20468
Average T:0.21345 C:0.27875 A:0.27875 G:0.22904
#18: C58
position 1: T:0.13158 C:0.26901 A:0.29240 G:0.30702
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21832 C:0.27778 A:0.28070 G:0.22320
#19: C10
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23392 A:0.21345 G:0.19591
Average T:0.21735 C:0.27680 A:0.28070 G:0.22515
#20: C14
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23392 A:0.21345 G:0.19591
Average T:0.21735 C:0.27680 A:0.28070 G:0.22515
#21: C46
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35965 C:0.23099 A:0.21345 G:0.19591
Average T:0.21832 C:0.27583 A:0.28070 G:0.22515
#22: C8
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.34795 C:0.24561 A:0.21345 G:0.19298
Average T:0.21442 C:0.28070 A:0.28070 G:0.22417
#23: C15
position 1: T:0.12573 C:0.27193 A:0.29532 G:0.30702
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21637 C:0.27875 A:0.28168 G:0.22320
#24: C26
position 1: T:0.12573 C:0.26901 A:0.29532 G:0.30994
position 2: T:0.17251 C:0.32164 A:0.33626 G:0.16959
position 3: T:0.35965 C:0.23392 A:0.21345 G:0.19298
Average T:0.21930 C:0.27485 A:0.28168 G:0.22417
#25: C51
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35673 C:0.23392 A:0.21345 G:0.19591
Average T:0.21735 C:0.27680 A:0.28070 G:0.22515
#26: C40
position 1: T:0.13158 C:0.26901 A:0.29240 G:0.30702
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35088 C:0.24561 A:0.21345 G:0.19006
Average T:0.21735 C:0.27973 A:0.28070 G:0.22222
#27: C36
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.17251 C:0.32164 A:0.33626 G:0.16959
position 3: T:0.35380 C:0.23977 A:0.21345 G:0.19298
Average T:0.21735 C:0.27778 A:0.28070 G:0.22417
#28: C6
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.17251 C:0.32164 A:0.33626 G:0.16959
position 3: T:0.34503 C:0.24854 A:0.21637 G:0.19006
Average T:0.21442 C:0.28070 A:0.28168 G:0.22320
#29: C37
position 1: T:0.12573 C:0.27193 A:0.29240 G:0.30994
position 2: T:0.16959 C:0.32456 A:0.33626 G:0.16959
position 3: T:0.35965 C:0.23392 A:0.21345 G:0.19298
Average T:0.21832 C:0.27680 A:0.28070 G:0.22417
#30: C24
position 1: T:0.12281 C:0.27485 A:0.29240 G:0.30994
position 2: T:0.16667 C:0.32749 A:0.33626 G:0.16959
position 3: T:0.35965 C:0.22807 A:0.21345 G:0.19883
Average T:0.21637 C:0.27680 A:0.28070 G:0.22612
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 185 | Ser S TCT 309 | Tyr Y TAT 187 | Cys C TGT 0
TTC 146 | TCC 108 | TAC 83 | TGC 0
Leu L TTA 34 | TCA 60 | *** * TAA 0 | *** * TGA 0
TTG 0 | TCG 32 | TAG 0 | Trp W TGG 150
------------------------------------------------------------------------------
Leu L CTT 177 | Pro P CCT 450 | His H CAT 178 | Arg R CGT 208
CTC 123 | CCC 264 | CAC 33 | CGC 92
CTA 56 | CCA 318 | Gln Q CAA 219 | CGA 30
CTG 93 | CCG 45 | CAG 440 | CGG 60
------------------------------------------------------------------------------
Ile I ATT 121 | Thr T ACT 395 | Asn N AAT 208 | Ser S AGT 30
ATC 88 | ACC 296 | AAC 302 | AGC 30
ATA 30 | ACA 91 | Lys K AAA 450 | Arg R AGA 270
Met M ATG 123 | ACG 60 | AAG 480 | AGG 30
------------------------------------------------------------------------------
Val V GTT 268 | Ala A GCT 381 | Asp D GAT 210 | Gly G GGT 324
GTC 117 | GCC 160 | GAC 299 | GGC 306
GTA 120 | GCA 213 | Glu E GAA 120 | GGA 180
GTG 61 | GCG 146 | GAG 240 | GGG 31
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.12612 C:0.27154 A:0.29279 G:0.30955
position 2: T:0.16979 C:0.32437 A:0.33616 G:0.16969
position 3: T:0.35390 C:0.23850 A:0.21355 G:0.19405
Average T:0.21660 C:0.27814 A:0.28083 G:0.22443
Model 1: NearlyNeutral (2 categories)
TREE # 1: (6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
check convergence..
lnL(ntime: 45 np: 48): -1824.326234 +0.000000
31..6 31..9 31..32 32..33 33..34 34..35 35..36 36..37 37..19 37..20 37..38 38..24 38..29 37..12 37..21 37..25 36..39 39..40 40..23 40..14 39..41 41..11 41..8 41..42 42..26 42..18 39..13 39..16 39..43 43..3 43..27 39..7 39..1 39..4 35..15 35..22 34..5 33..44 44..2 44..45 45..46 46..10 46..30 45..17 32..28
0.000004 0.002992 0.000004 0.006342 0.002943 0.006330 0.012005 0.003005 0.000004 0.000004 0.003013 0.006028 0.000004 0.000004 0.003008 0.000004 0.003030 0.003003 0.000004 0.000004 0.003004 0.000004 0.000004 0.003009 0.009079 0.000004 0.000004 0.003006 0.003005 0.003008 0.000004 0.003003 0.000004 0.000004 0.012150 0.003089 0.008776 0.005430 0.006304 0.012296 0.057727 0.000004 0.000004 0.017037 0.012036 5.534390 0.999990 0.099929
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.213728
(6: 0.000004, 9: 0.002992, ((((((19: 0.000004, 20: 0.000004, (24: 0.006028, 29: 0.000004): 0.003013, 12: 0.000004, 21: 0.003008, 25: 0.000004): 0.003005, ((23: 0.000004, 14: 0.000004): 0.003003, (11: 0.000004, 8: 0.000004, (26: 0.009079, 18: 0.000004): 0.003009): 0.003004, 13: 0.000004, 16: 0.003006, (3: 0.003008, 27: 0.000004): 0.003005, 7: 0.003003, 1: 0.000004, 4: 0.000004): 0.003030): 0.012005, 15: 0.012150, 22: 0.003089): 0.006330, 5: 0.008776): 0.002943, (2: 0.006304, ((10: 0.000004, 30: 0.000004): 0.057727, 17: 0.017037): 0.012296): 0.005430): 0.006342, 28: 0.012036): 0.000004);
(C1: 0.000004, C11: 0.002992, ((((((C10: 0.000004, C14: 0.000004, (C26: 0.006028, C37: 0.000004): 0.003013, C45: 0.000004, C46: 0.003008, C51: 0.000004): 0.003005, ((C15: 0.000004, C54: 0.000004): 0.003003, (C20: 0.000004, C33: 0.000004, (C40: 0.009079, C58: 0.000004): 0.003009): 0.003004, C22: 0.000004, C28: 0.003006, (C34: 0.003008, C36: 0.000004): 0.003005, C42: 0.003003, C52: 0.000004, C9: 0.000004): 0.003030): 0.012005, C21: 0.012150, C8: 0.003089): 0.006330, C5: 0.008776): 0.002943, (C2: 0.006304, ((C23: 0.000004, C24: 0.000004): 0.057727, C3: 0.017037): 0.012296): 0.005430): 0.006342, C6: 0.012036): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 5.53439
MLEs of dN/dS (w) for site classes (K=2)
p: 0.99999 0.00001
w: 0.09993 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
31..9 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
31..32 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
32..33 0.006 706.1 319.9 0.0999 0.0006 0.0056 0.4 1.8
33..34 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
34..35 0.006 706.1 319.9 0.0999 0.0006 0.0055 0.4 1.8
35..36 0.012 706.1 319.9 0.0999 0.0011 0.0105 0.7 3.4
36..37 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
37..19 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..20 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..38 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
38..24 0.006 706.1 319.9 0.0999 0.0005 0.0053 0.4 1.7
38..29 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..12 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..21 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
37..25 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
36..39 0.003 706.1 319.9 0.0999 0.0003 0.0027 0.2 0.8
39..40 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
40..23 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
40..14 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..41 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
41..11 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
41..8 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
41..42 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
42..26 0.009 706.1 319.9 0.0999 0.0008 0.0080 0.6 2.5
42..18 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..13 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..16 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
39..43 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
43..3 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
43..27 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..7 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
39..1 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..4 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
35..15 0.012 706.1 319.9 0.0999 0.0011 0.0106 0.8 3.4
35..22 0.003 706.1 319.9 0.0999 0.0003 0.0027 0.2 0.9
34..5 0.009 706.1 319.9 0.0999 0.0008 0.0077 0.5 2.5
33..44 0.005 706.1 319.9 0.0999 0.0005 0.0048 0.3 1.5
44..2 0.006 706.1 319.9 0.0999 0.0006 0.0055 0.4 1.8
44..45 0.012 706.1 319.9 0.0999 0.0011 0.0108 0.8 3.4
45..46 0.058 706.1 319.9 0.0999 0.0051 0.0506 3.6 16.2
46..10 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
46..30 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
45..17 0.017 706.1 319.9 0.0999 0.0015 0.0149 1.1 4.8
32..28 0.012 706.1 319.9 0.0999 0.0011 0.0105 0.7 3.4
Time used: 3:19
Model 2: PositiveSelection (3 categories)
TREE # 1: (6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
lnL(ntime: 45 np: 50): -1824.326112 +0.000000
31..6 31..9 31..32 32..33 33..34 34..35 35..36 36..37 37..19 37..20 37..38 38..24 38..29 37..12 37..21 37..25 36..39 39..40 40..23 40..14 39..41 41..11 41..8 41..42 42..26 42..18 39..13 39..16 39..43 43..3 43..27 39..7 39..1 39..4 35..15 35..22 34..5 33..44 44..2 44..45 45..46 46..10 46..30 45..17 32..28
0.000004 0.002992 0.000004 0.006342 0.002943 0.006330 0.012005 0.003005 0.000004 0.000004 0.003013 0.006028 0.000004 0.000004 0.003008 0.000004 0.003030 0.003003 0.000004 0.000004 0.003004 0.000004 0.000004 0.003009 0.009079 0.000004 0.000004 0.003006 0.003005 0.003007 0.000004 0.003003 0.000004 0.000004 0.012150 0.003089 0.008776 0.005431 0.006304 0.012296 0.057727 0.000004 0.000004 0.017036 0.012036 5.534354 1.000000 0.000000 0.099936 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.213727
(6: 0.000004, 9: 0.002992, ((((((19: 0.000004, 20: 0.000004, (24: 0.006028, 29: 0.000004): 0.003013, 12: 0.000004, 21: 0.003008, 25: 0.000004): 0.003005, ((23: 0.000004, 14: 0.000004): 0.003003, (11: 0.000004, 8: 0.000004, (26: 0.009079, 18: 0.000004): 0.003009): 0.003004, 13: 0.000004, 16: 0.003006, (3: 0.003007, 27: 0.000004): 0.003005, 7: 0.003003, 1: 0.000004, 4: 0.000004): 0.003030): 0.012005, 15: 0.012150, 22: 0.003089): 0.006330, 5: 0.008776): 0.002943, (2: 0.006304, ((10: 0.000004, 30: 0.000004): 0.057727, 17: 0.017036): 0.012296): 0.005431): 0.006342, 28: 0.012036): 0.000004);
(C1: 0.000004, C11: 0.002992, ((((((C10: 0.000004, C14: 0.000004, (C26: 0.006028, C37: 0.000004): 0.003013, C45: 0.000004, C46: 0.003008, C51: 0.000004): 0.003005, ((C15: 0.000004, C54: 0.000004): 0.003003, (C20: 0.000004, C33: 0.000004, (C40: 0.009079, C58: 0.000004): 0.003009): 0.003004, C22: 0.000004, C28: 0.003006, (C34: 0.003007, C36: 0.000004): 0.003005, C42: 0.003003, C52: 0.000004, C9: 0.000004): 0.003030): 0.012005, C21: 0.012150, C8: 0.003089): 0.006330, C5: 0.008776): 0.002943, (C2: 0.006304, ((C23: 0.000004, C24: 0.000004): 0.057727, C3: 0.017036): 0.012296): 0.005431): 0.006342, C6: 0.012036): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 5.53435
MLEs of dN/dS (w) for site classes (K=3)
p: 1.00000 0.00000 0.00000
w: 0.09994 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
31..9 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
31..32 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
32..33 0.006 706.1 319.9 0.0999 0.0006 0.0056 0.4 1.8
33..34 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
34..35 0.006 706.1 319.9 0.0999 0.0006 0.0055 0.4 1.8
35..36 0.012 706.1 319.9 0.0999 0.0011 0.0105 0.7 3.4
36..37 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
37..19 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..20 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..38 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
38..24 0.006 706.1 319.9 0.0999 0.0005 0.0053 0.4 1.7
38..29 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..12 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
37..21 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
37..25 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
36..39 0.003 706.1 319.9 0.0999 0.0003 0.0027 0.2 0.8
39..40 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
40..23 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
40..14 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..41 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
41..11 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
41..8 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
41..42 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
42..26 0.009 706.1 319.9 0.0999 0.0008 0.0080 0.6 2.5
42..18 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..13 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..16 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
39..43 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
43..3 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
43..27 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..7 0.003 706.1 319.9 0.0999 0.0003 0.0026 0.2 0.8
39..1 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
39..4 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
35..15 0.012 706.1 319.9 0.0999 0.0011 0.0106 0.8 3.4
35..22 0.003 706.1 319.9 0.0999 0.0003 0.0027 0.2 0.9
34..5 0.009 706.1 319.9 0.0999 0.0008 0.0077 0.5 2.5
33..44 0.005 706.1 319.9 0.0999 0.0005 0.0048 0.3 1.5
44..2 0.006 706.1 319.9 0.0999 0.0006 0.0055 0.4 1.8
44..45 0.012 706.1 319.9 0.0999 0.0011 0.0108 0.8 3.4
45..46 0.058 706.1 319.9 0.0999 0.0051 0.0506 3.6 16.2
46..10 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
46..30 0.000 706.1 319.9 0.0999 0.0000 0.0000 0.0 0.0
45..17 0.017 706.1 319.9 0.0999 0.0015 0.0149 1.1 4.8
32..28 0.012 706.1 319.9 0.0999 0.0011 0.0105 0.7 3.4
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: C52)
Pr(w>1) post mean +- SE for w
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: 0.981 0.019 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.726 0.196 0.053 0.016 0.005 0.002 0.001 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.021
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 0.001 0.039 0.938
sum of density on p0-p1 = 1.000000
Time used: 9:31
Model 7: beta (10 categories)
TREE # 1: (6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
lnL(ntime: 45 np: 48): -1824.339646 +0.000000
31..6 31..9 31..32 32..33 33..34 34..35 35..36 36..37 37..19 37..20 37..38 38..24 38..29 37..12 37..21 37..25 36..39 39..40 40..23 40..14 39..41 41..11 41..8 41..42 42..26 42..18 39..13 39..16 39..43 43..3 43..27 39..7 39..1 39..4 35..15 35..22 34..5 33..44 44..2 44..45 45..46 46..10 46..30 45..17 32..28
0.000004 0.002992 0.000004 0.006343 0.002943 0.006330 0.012006 0.003005 0.000004 0.000004 0.003013 0.006028 0.000004 0.000004 0.003009 0.000004 0.003030 0.003003 0.000004 0.000004 0.003004 0.000004 0.000004 0.003009 0.009079 0.000004 0.000004 0.003006 0.003005 0.003008 0.000004 0.003003 0.000004 0.000004 0.012151 0.003090 0.008777 0.005431 0.006305 0.012295 0.057734 0.000004 0.000004 0.017039 0.012036 5.536393 11.052044 99.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.213744
(6: 0.000004, 9: 0.002992, ((((((19: 0.000004, 20: 0.000004, (24: 0.006028, 29: 0.000004): 0.003013, 12: 0.000004, 21: 0.003009, 25: 0.000004): 0.003005, ((23: 0.000004, 14: 0.000004): 0.003003, (11: 0.000004, 8: 0.000004, (26: 0.009079, 18: 0.000004): 0.003009): 0.003004, 13: 0.000004, 16: 0.003006, (3: 0.003008, 27: 0.000004): 0.003005, 7: 0.003003, 1: 0.000004, 4: 0.000004): 0.003030): 0.012006, 15: 0.012151, 22: 0.003090): 0.006330, 5: 0.008777): 0.002943, (2: 0.006305, ((10: 0.000004, 30: 0.000004): 0.057734, 17: 0.017039): 0.012295): 0.005431): 0.006343, 28: 0.012036): 0.000004);
(C1: 0.000004, C11: 0.002992, ((((((C10: 0.000004, C14: 0.000004, (C26: 0.006028, C37: 0.000004): 0.003013, C45: 0.000004, C46: 0.003009, C51: 0.000004): 0.003005, ((C15: 0.000004, C54: 0.000004): 0.003003, (C20: 0.000004, C33: 0.000004, (C40: 0.009079, C58: 0.000004): 0.003009): 0.003004, C22: 0.000004, C28: 0.003006, (C34: 0.003008, C36: 0.000004): 0.003005, C42: 0.003003, C52: 0.000004, C9: 0.000004): 0.003030): 0.012006, C21: 0.012151, C8: 0.003090): 0.006330, C5: 0.008777): 0.002943, (C2: 0.006305, ((C23: 0.000004, C24: 0.000004): 0.057734, C3: 0.017039): 0.012295): 0.005431): 0.006343, C6: 0.012036): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 5.53639
Parameters in M7 (beta):
p = 11.05204 q = 99.00000
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: 0.05797 0.07125 0.08000 0.08744 0.09448 0.10161 0.10929 0.11824 0.13000 0.15115
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
31..9 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
31..32 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
32..33 0.006 706.1 319.9 0.1001 0.0006 0.0056 0.4 1.8
33..34 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
34..35 0.006 706.1 319.9 0.1001 0.0006 0.0055 0.4 1.8
35..36 0.012 706.1 319.9 0.1001 0.0011 0.0105 0.7 3.4
36..37 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
37..19 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..20 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..38 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
38..24 0.006 706.1 319.9 0.1001 0.0005 0.0053 0.4 1.7
38..29 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..12 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..21 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
37..25 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
36..39 0.003 706.1 319.9 0.1001 0.0003 0.0027 0.2 0.8
39..40 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
40..23 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
40..14 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..41 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
41..11 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
41..8 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
41..42 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
42..26 0.009 706.1 319.9 0.1001 0.0008 0.0079 0.6 2.5
42..18 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..13 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..16 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
39..43 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
43..3 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
43..27 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..7 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
39..1 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..4 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
35..15 0.012 706.1 319.9 0.1001 0.0011 0.0106 0.8 3.4
35..22 0.003 706.1 319.9 0.1001 0.0003 0.0027 0.2 0.9
34..5 0.009 706.1 319.9 0.1001 0.0008 0.0077 0.5 2.5
33..44 0.005 706.1 319.9 0.1001 0.0005 0.0048 0.3 1.5
44..2 0.006 706.1 319.9 0.1001 0.0006 0.0055 0.4 1.8
44..45 0.012 706.1 319.9 0.1001 0.0011 0.0108 0.8 3.4
45..46 0.058 706.1 319.9 0.1001 0.0051 0.0506 3.6 16.2
46..10 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
46..30 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
45..17 0.017 706.1 319.9 0.1001 0.0015 0.0149 1.1 4.8
32..28 0.012 706.1 319.9 0.1001 0.0011 0.0105 0.7 3.4
Time used: 38:12
Model 8: beta&w>1 (11 categories)
TREE # 1: (6, 9, ((((((19, 20, (24, 29), 12, 21, 25), ((23, 14), (11, 8, (26, 18)), 13, 16, (3, 27), 7, 1, 4)), 15, 22), 5), (2, ((10, 30), 17))), 28)); MP score: 70
lnL(ntime: 45 np: 50): -1824.339768 +0.000000
31..6 31..9 31..32 32..33 33..34 34..35 35..36 36..37 37..19 37..20 37..38 38..24 38..29 37..12 37..21 37..25 36..39 39..40 40..23 40..14 39..41 41..11 41..8 41..42 42..26 42..18 39..13 39..16 39..43 43..3 43..27 39..7 39..1 39..4 35..15 35..22 34..5 33..44 44..2 44..45 45..46 46..10 46..30 45..17 32..28
0.000004 0.002992 0.000004 0.006343 0.002943 0.006330 0.012006 0.003005 0.000004 0.000004 0.003013 0.006028 0.000004 0.000004 0.003008 0.000004 0.003030 0.003003 0.000004 0.000004 0.003004 0.000004 0.000004 0.003009 0.009079 0.000004 0.000004 0.003006 0.003005 0.003008 0.000004 0.003003 0.000004 0.000004 0.012151 0.003089 0.008777 0.005431 0.006305 0.012295 0.057734 0.000004 0.000004 0.017039 0.012036 5.536184 0.999990 11.050043 99.000000 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.213743
(6: 0.000004, 9: 0.002992, ((((((19: 0.000004, 20: 0.000004, (24: 0.006028, 29: 0.000004): 0.003013, 12: 0.000004, 21: 0.003008, 25: 0.000004): 0.003005, ((23: 0.000004, 14: 0.000004): 0.003003, (11: 0.000004, 8: 0.000004, (26: 0.009079, 18: 0.000004): 0.003009): 0.003004, 13: 0.000004, 16: 0.003006, (3: 0.003008, 27: 0.000004): 0.003005, 7: 0.003003, 1: 0.000004, 4: 0.000004): 0.003030): 0.012006, 15: 0.012151, 22: 0.003089): 0.006330, 5: 0.008777): 0.002943, (2: 0.006305, ((10: 0.000004, 30: 0.000004): 0.057734, 17: 0.017039): 0.012295): 0.005431): 0.006343, 28: 0.012036): 0.000004);
(C1: 0.000004, C11: 0.002992, ((((((C10: 0.000004, C14: 0.000004, (C26: 0.006028, C37: 0.000004): 0.003013, C45: 0.000004, C46: 0.003008, C51: 0.000004): 0.003005, ((C15: 0.000004, C54: 0.000004): 0.003003, (C20: 0.000004, C33: 0.000004, (C40: 0.009079, C58: 0.000004): 0.003009): 0.003004, C22: 0.000004, C28: 0.003006, (C34: 0.003008, C36: 0.000004): 0.003005, C42: 0.003003, C52: 0.000004, C9: 0.000004): 0.003030): 0.012006, C21: 0.012151, C8: 0.003089): 0.006330, C5: 0.008777): 0.002943, (C2: 0.006305, ((C23: 0.000004, C24: 0.000004): 0.057734, C3: 0.017039): 0.012295): 0.005431): 0.006343, C6: 0.012036): 0.000004);
Detailed output identifying parameters
kappa (ts/tv) = 5.53618
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 11.05004 q = 99.00000
(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: 0.05796 0.07123 0.07998 0.08743 0.09447 0.10159 0.10928 0.11822 0.12998 0.15113 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
31..9 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
31..32 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
32..33 0.006 706.1 319.9 0.1001 0.0006 0.0056 0.4 1.8
33..34 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
34..35 0.006 706.1 319.9 0.1001 0.0006 0.0055 0.4 1.8
35..36 0.012 706.1 319.9 0.1001 0.0011 0.0105 0.7 3.4
36..37 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
37..19 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..20 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..38 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
38..24 0.006 706.1 319.9 0.1001 0.0005 0.0053 0.4 1.7
38..29 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..12 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
37..21 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
37..25 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
36..39 0.003 706.1 319.9 0.1001 0.0003 0.0027 0.2 0.8
39..40 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
40..23 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
40..14 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..41 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
41..11 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
41..8 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
41..42 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
42..26 0.009 706.1 319.9 0.1001 0.0008 0.0080 0.6 2.5
42..18 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..13 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..16 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
39..43 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
43..3 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
43..27 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..7 0.003 706.1 319.9 0.1001 0.0003 0.0026 0.2 0.8
39..1 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
39..4 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
35..15 0.012 706.1 319.9 0.1001 0.0011 0.0106 0.8 3.4
35..22 0.003 706.1 319.9 0.1001 0.0003 0.0027 0.2 0.9
34..5 0.009 706.1 319.9 0.1001 0.0008 0.0077 0.5 2.5
33..44 0.005 706.1 319.9 0.1001 0.0005 0.0048 0.3 1.5
44..2 0.006 706.1 319.9 0.1001 0.0006 0.0055 0.4 1.8
44..45 0.012 706.1 319.9 0.1001 0.0011 0.0108 0.8 3.4
45..46 0.058 706.1 319.9 0.1001 0.0051 0.0506 3.6 16.2
46..10 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
46..30 0.000 706.1 319.9 0.1001 0.0000 0.0000 0.0 0.0
45..17 0.017 706.1 319.9 0.1001 0.0015 0.0149 1.1 4.8
32..28 0.012 706.1 319.9 0.1001 0.0011 0.0105 0.7 3.4
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: C52)
Pr(w>1) post mean +- SE for w
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 : 0.978 0.021 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.001 0.013 0.043 0.088 0.139 0.191 0.240 0.286
ws: 0.882 0.101 0.014 0.002 0.001 0.000 0.000 0.000 0.000 0.000
Time used: 1:10:20
Model 1: NearlyNeutral -1824.326234 Model 2: PositiveSelection -1824.326112 Model 7: beta -1824.339646 Model 8: beta&w>1 -1824.339768 Model 2 vs 1 .000244 Model 8 vs 7 -.000244
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
