--- 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 -1907.34 -1928.35
2 -1907.15 -1933.14
--------------------------------------
TOTAL -1907.24 -1932.46
--------------------------------------
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} 0.044458 0.000058 0.030498 0.060222 0.044066 1469.73 1485.37 1.000
r(A<->C){all} 0.022776 0.000504 0.000001 0.066924 0.016076 573.28 583.16 1.000
r(A<->G){all} 0.148856 0.002745 0.055768 0.253536 0.142748 490.18 534.67 1.000
r(A<->T){all} 0.028884 0.000434 0.000048 0.067727 0.024425 657.48 689.93 1.000
r(C<->G){all} 0.025979 0.000639 0.000005 0.075452 0.018620 622.83 623.62 1.000
r(C<->T){all} 0.702477 0.004497 0.562480 0.826628 0.704738 481.69 579.31 1.001
r(G<->T){all} 0.071028 0.001212 0.011158 0.137789 0.065600 601.98 620.02 1.000
pi(A){all} 0.265678 0.000166 0.242060 0.291925 0.265588 1097.09 1162.79 1.000
pi(C){all} 0.205806 0.000131 0.183659 0.227648 0.205512 1157.09 1200.75 1.001
pi(G){all} 0.208470 0.000143 0.186076 0.232568 0.208702 1025.66 1078.63 1.000
pi(T){all} 0.320047 0.000183 0.292861 0.345476 0.320104 918.40 958.19 1.000
alpha{1,2} 0.613515 0.611067 0.000098 2.187750 0.322462 912.81 936.66 1.000
alpha{3} 1.293533 1.149110 0.001255 3.455173 0.997800 985.37 1006.10 1.000
pinvar{all} 0.458203 0.043453 0.038230 0.787972 0.486538 737.73 740.27 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -1789.422139
Model 2: PositiveSelection -1789.420516
Model 7: beta -1789.437266
Model 8: beta&w>1 -1789.420516
Model 2 vs 1 .003246
Model 8 vs 7 .033500
-- Starting log on Sat Nov 05 01:39:54 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 01:40:23 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 02:34:27 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/gapped_alignment/codeml,NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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 1131 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) = 1667615669
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) = 1819074769
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 = 3585091929
Seed = 1679476914
Swapseed = 1667615669
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 9 unique site patterns
Division 2 has 11 unique site patterns
Division 3 has 33 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 -- -3095.384229 -- 82.122948
Chain 2 -- -3081.220964 -- 82.122948
Chain 3 -- -3095.750150 -- 82.122948
Chain 4 -- -3052.256434 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -3042.909320 -- 82.122948
Chain 2 -- -3072.233982 -- 82.122948
Chain 3 -- -3096.653331 -- 82.122948
Chain 4 -- -3046.879023 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-3095.384] (-3081.221) (-3095.750) (-3052.256) * [-3042.909] (-3072.234) (-3096.653) (-3046.879)
1000 -- (-2020.112) (-2021.973) [-1972.752] (-1977.751) * (-1980.145) [-1968.828] (-1968.633) (-2015.806) -- 0:16:39
2000 -- (-1968.865) (-1950.034) (-1950.800) [-1943.755] * (-1962.467) (-1938.239) [-1940.974] (-1947.976) -- 0:16:38
3000 -- (-1936.677) (-1944.400) [-1934.860] (-1934.997) * (-1953.946) [-1932.921] (-1941.468) (-1936.892) -- 0:11:04
4000 -- (-1930.525) (-1939.996) [-1916.395] (-1925.079) * (-1948.766) [-1920.659] (-1935.918) (-1923.685) -- 0:12:27
5000 -- (-1922.510) (-1944.571) [-1918.620] (-1927.341) * (-1930.085) (-1933.387) (-1922.742) [-1921.988] -- 0:09:57
Average standard deviation of split frequencies: 0.080158
6000 -- (-1921.005) (-1931.088) (-1916.591) [-1924.940] * (-1942.258) (-1936.409) [-1919.045] (-1914.794) -- 0:11:02
7000 -- (-1925.877) (-1931.026) [-1913.048] (-1919.297) * (-1930.593) (-1924.783) (-1918.947) [-1908.638] -- 0:09:27
8000 -- (-1922.209) (-1936.062) (-1912.840) [-1916.458] * (-1928.393) (-1956.279) [-1911.981] (-1923.256) -- 0:10:20
9000 -- (-1930.428) (-1920.189) [-1913.576] (-1947.860) * (-1929.079) (-1927.521) (-1918.454) [-1912.870] -- 0:09:10
10000 -- (-1939.541) (-1917.696) [-1913.482] (-1907.067) * (-1921.328) (-1927.683) [-1920.948] (-1942.998) -- 0:09:54
Average standard deviation of split frequencies: 0.069385
11000 -- (-1927.594) (-1919.169) (-1915.088) [-1910.320] * (-1937.745) [-1921.319] (-1921.902) (-1921.570) -- 0:08:59
12000 -- (-1922.846) (-1939.507) [-1917.372] (-1924.741) * (-1914.362) [-1913.374] (-1923.313) (-1918.834) -- 0:09:36
13000 -- (-1922.581) (-1936.079) [-1912.521] (-1923.245) * (-1931.086) [-1912.300] (-1927.466) (-1914.451) -- 0:08:51
14000 -- (-1920.044) (-1927.484) [-1917.948] (-1928.625) * (-1923.674) (-1914.001) [-1925.154] (-1916.210) -- 0:09:23
15000 -- [-1913.870] (-1928.809) (-1906.245) (-1930.327) * (-1925.629) [-1909.921] (-1922.990) (-1909.260) -- 0:08:45
Average standard deviation of split frequencies: 0.059832
16000 -- (-1926.469) [-1911.255] (-1905.878) (-1930.742) * (-1922.973) [-1911.496] (-1932.120) (-1916.358) -- 0:09:13
17000 -- (-1927.628) [-1908.076] (-1925.497) (-1921.533) * [-1909.868] (-1934.348) (-1935.221) (-1923.720) -- 0:09:38
18000 -- (-1927.896) (-1930.857) [-1922.380] (-1905.474) * [-1916.503] (-1927.581) (-1917.565) (-1939.870) -- 0:09:05
19000 -- (-1934.191) (-1919.767) [-1908.788] (-1926.882) * (-1916.790) [-1927.584] (-1934.595) (-1923.930) -- 0:09:27
20000 -- (-1921.950) [-1906.282] (-1912.683) (-1920.771) * (-1923.242) [-1926.060] (-1917.619) (-1925.115) -- 0:08:59
Average standard deviation of split frequencies: 0.057481
21000 -- (-1930.420) (-1910.673) [-1923.138] (-1924.602) * (-1924.606) (-1920.648) (-1943.299) [-1916.025] -- 0:09:19
22000 -- (-1923.317) (-1920.810) [-1914.314] (-1927.210) * (-1917.758) (-1917.480) [-1928.347] (-1925.022) -- 0:08:53
23000 -- (-1919.160) (-1927.416) [-1917.395] (-1922.587) * (-1921.174) (-1912.220) [-1918.640] (-1914.643) -- 0:09:12
24000 -- (-1925.105) [-1920.348] (-1915.958) (-1922.681) * (-1916.227) [-1925.582] (-1928.778) (-1929.933) -- 0:08:48
25000 -- (-1925.312) [-1916.930] (-1922.397) (-1933.854) * [-1910.638] (-1929.561) (-1920.337) (-1920.922) -- 0:09:06
Average standard deviation of split frequencies: 0.045327
26000 -- (-1914.373) [-1921.516] (-1927.317) (-1922.786) * (-1920.801) [-1914.895] (-1920.409) (-1939.541) -- 0:08:44
27000 -- [-1924.003] (-1916.492) (-1919.980) (-1921.694) * (-1917.783) [-1922.035] (-1923.243) (-1941.017) -- 0:09:00
28000 -- [-1915.425] (-1929.233) (-1920.918) (-1913.995) * (-1924.789) (-1913.456) [-1911.703] (-1929.519) -- 0:08:40
29000 -- (-1927.990) [-1915.657] (-1921.775) (-1925.729) * (-1933.616) (-1918.727) [-1914.205] (-1932.048) -- 0:08:55
30000 -- [-1915.029] (-1910.788) (-1911.520) (-1928.438) * (-1934.502) [-1912.996] (-1926.459) (-1924.731) -- 0:08:37
Average standard deviation of split frequencies: 0.040707
31000 -- (-1921.337) (-1921.678) [-1909.460] (-1937.137) * (-1929.228) [-1909.905] (-1924.612) (-1926.629) -- 0:08:51
32000 -- (-1931.592) [-1922.002] (-1909.262) (-1912.973) * (-1925.049) (-1929.138) [-1909.048] (-1922.501) -- 0:08:34
33000 -- (-1936.232) (-1931.477) (-1922.794) [-1911.934] * (-1934.228) (-1926.590) (-1916.049) [-1915.063] -- 0:08:47
34000 -- (-1919.920) [-1913.607] (-1923.374) (-1937.297) * (-1938.311) (-1924.096) (-1919.996) [-1914.634] -- 0:08:31
35000 -- [-1921.392] (-1920.427) (-1929.062) (-1920.474) * (-1923.784) [-1917.638] (-1927.908) (-1919.000) -- 0:08:43
Average standard deviation of split frequencies: 0.038760
36000 -- (-1920.712) [-1908.357] (-1926.439) (-1924.336) * (-1937.747) (-1917.992) (-1921.256) [-1919.628] -- 0:08:55
37000 -- (-1935.159) (-1912.439) [-1923.036] (-1917.907) * (-1940.848) (-1923.776) (-1924.715) [-1909.429] -- 0:08:40
38000 -- (-1928.183) [-1909.700] (-1922.993) (-1926.261) * (-1931.799) (-1914.509) (-1914.922) [-1909.879] -- 0:08:51
39000 -- (-1938.308) (-1919.364) [-1916.554] (-1921.162) * [-1923.671] (-1923.218) (-1915.645) (-1923.976) -- 0:08:37
40000 -- (-1930.367) (-1910.171) (-1918.166) [-1925.891] * (-1934.758) (-1922.627) [-1927.256] (-1920.054) -- 0:08:48
Average standard deviation of split frequencies: 0.036749
41000 -- [-1919.003] (-1917.929) (-1925.229) (-1926.189) * [-1911.674] (-1932.767) (-1930.320) (-1917.903) -- 0:08:34
42000 -- [-1922.282] (-1927.887) (-1940.757) (-1942.159) * (-1916.019) (-1928.209) (-1921.074) [-1905.059] -- 0:08:44
43000 -- [-1911.646] (-1926.715) (-1918.748) (-1931.243) * (-1926.304) [-1925.304] (-1923.313) (-1923.261) -- 0:08:31
44000 -- [-1905.895] (-1906.718) (-1920.013) (-1929.692) * (-1922.782) (-1910.722) [-1919.941] (-1932.172) -- 0:08:41
45000 -- [-1906.196] (-1909.720) (-1945.288) (-1932.034) * (-1913.653) (-1931.580) (-1924.916) [-1916.849] -- 0:08:29
Average standard deviation of split frequencies: 0.032334
46000 -- (-1916.734) (-1912.561) [-1915.935] (-1937.628) * [-1924.560] (-1930.695) (-1930.104) (-1912.862) -- 0:08:38
47000 -- (-1925.250) [-1919.774] (-1921.379) (-1920.179) * (-1918.992) (-1924.655) [-1921.721] (-1919.404) -- 0:08:26
48000 -- (-1922.355) [-1920.178] (-1935.770) (-1931.404) * (-1927.205) (-1918.076) [-1910.216] (-1916.514) -- 0:08:35
49000 -- [-1917.067] (-1917.776) (-1926.416) (-1937.900) * [-1918.551] (-1930.169) (-1924.372) (-1913.268) -- 0:08:24
50000 -- (-1923.962) (-1923.825) [-1904.919] (-1938.954) * (-1933.112) (-1929.912) (-1923.227) [-1918.591] -- 0:08:33
Average standard deviation of split frequencies: 0.032290
51000 -- (-1914.997) [-1916.004] (-1918.735) (-1930.367) * (-1918.082) (-1927.366) (-1926.787) [-1916.256] -- 0:08:22
52000 -- (-1918.690) [-1916.885] (-1928.980) (-1912.456) * (-1933.704) [-1915.622] (-1918.564) (-1933.128) -- 0:08:30
53000 -- [-1916.488] (-1915.399) (-1922.681) (-1934.913) * [-1919.465] (-1917.877) (-1925.486) (-1926.830) -- 0:08:20
54000 -- [-1912.811] (-1915.418) (-1930.694) (-1930.395) * [-1917.359] (-1930.453) (-1916.383) (-1930.752) -- 0:08:28
55000 -- (-1910.793) [-1912.308] (-1920.125) (-1928.857) * (-1931.277) [-1914.076] (-1914.739) (-1938.957) -- 0:08:18
Average standard deviation of split frequencies: 0.031323
56000 -- [-1920.385] (-1927.985) (-1914.166) (-1934.705) * (-1936.009) (-1919.384) (-1915.475) [-1918.820] -- 0:08:25
57000 -- (-1921.984) (-1915.737) (-1928.988) [-1926.057] * (-1933.871) [-1914.281] (-1929.771) (-1914.979) -- 0:08:16
58000 -- (-1936.589) [-1914.820] (-1928.344) (-1919.708) * (-1930.325) (-1918.053) [-1913.287] (-1920.039) -- 0:08:23
59000 -- (-1938.077) (-1912.630) (-1912.064) [-1916.311] * (-1927.608) [-1923.721] (-1906.509) (-1935.300) -- 0:08:30
60000 -- (-1930.818) [-1923.519] (-1928.102) (-1919.747) * (-1918.544) [-1910.406] (-1920.103) (-1926.994) -- 0:08:21
Average standard deviation of split frequencies: 0.030887
61000 -- (-1914.890) (-1914.431) (-1919.414) [-1917.752] * (-1926.801) (-1919.170) (-1927.903) [-1923.489] -- 0:08:27
62000 -- (-1909.745) (-1934.477) [-1922.591] (-1924.485) * (-1924.670) (-1909.023) (-1931.199) [-1913.170] -- 0:08:19
63000 -- [-1911.375] (-1916.606) (-1935.559) (-1924.836) * (-1929.973) (-1923.551) (-1919.704) [-1920.435] -- 0:08:25
64000 -- [-1912.797] (-1919.779) (-1935.211) (-1920.025) * (-1921.094) (-1929.688) (-1924.790) [-1919.919] -- 0:08:17
65000 -- [-1907.628] (-1921.861) (-1931.616) (-1934.472) * (-1923.183) (-1922.829) (-1916.233) [-1912.700] -- 0:08:23
Average standard deviation of split frequencies: 0.030031
66000 -- (-1917.235) (-1933.266) [-1918.354] (-1929.179) * [-1912.537] (-1929.933) (-1916.149) (-1913.759) -- 0:08:15
67000 -- [-1912.457] (-1930.918) (-1924.939) (-1938.100) * (-1914.099) (-1935.212) [-1914.032] (-1926.407) -- 0:08:21
68000 -- (-1918.816) (-1922.738) (-1929.930) [-1921.654] * (-1908.932) (-1942.768) (-1922.558) [-1919.610] -- 0:08:13
69000 -- (-1924.414) [-1916.895] (-1929.981) (-1928.783) * (-1910.497) (-1921.770) (-1922.984) [-1904.679] -- 0:08:19
70000 -- [-1920.709] (-1926.676) (-1938.254) (-1917.165) * (-1916.590) (-1925.803) (-1932.877) [-1910.990] -- 0:08:11
Average standard deviation of split frequencies: 0.031191
71000 -- (-1933.661) (-1925.917) (-1947.588) [-1920.049] * (-1920.283) [-1912.645] (-1929.481) (-1930.743) -- 0:08:17
72000 -- (-1931.395) [-1921.312] (-1934.745) (-1927.312) * (-1925.418) [-1916.335] (-1914.732) (-1914.617) -- 0:08:09
73000 -- (-1925.644) (-1940.153) (-1920.101) [-1917.155] * [-1921.790] (-1918.297) (-1910.417) (-1921.630) -- 0:08:15
74000 -- (-1926.154) (-1923.934) (-1918.770) [-1909.474] * [-1916.099] (-1914.987) (-1915.954) (-1932.894) -- 0:08:08
75000 -- (-1923.188) (-1911.695) (-1923.131) [-1915.171] * [-1920.333] (-1914.445) (-1928.542) (-1932.852) -- 0:08:13
Average standard deviation of split frequencies: 0.028642
76000 -- (-1919.952) (-1923.219) (-1936.848) [-1917.286] * (-1933.464) [-1917.188] (-1937.237) (-1922.835) -- 0:08:06
77000 -- (-1916.644) (-1924.194) (-1925.784) [-1909.164] * (-1916.869) [-1912.665] (-1926.121) (-1923.308) -- 0:08:11
78000 -- (-1917.457) (-1936.678) (-1936.706) [-1911.117] * [-1913.090] (-1934.197) (-1923.246) (-1926.769) -- 0:08:16
79000 -- (-1918.762) (-1939.836) (-1926.297) [-1920.752] * (-1912.179) (-1923.377) (-1935.567) [-1907.169] -- 0:08:09
80000 -- (-1919.683) [-1936.469] (-1920.539) (-1917.067) * (-1923.594) (-1932.369) [-1922.601] (-1914.269) -- 0:08:14
Average standard deviation of split frequencies: 0.024210
81000 -- (-1930.452) (-1919.035) [-1923.955] (-1933.794) * (-1925.116) (-1936.665) (-1921.828) [-1915.359] -- 0:08:07
82000 -- (-1930.316) (-1918.584) [-1914.582] (-1930.399) * [-1929.716] (-1932.810) (-1932.064) (-1917.666) -- 0:08:12
83000 -- (-1940.605) [-1918.689] (-1925.228) (-1923.663) * [-1923.163] (-1926.919) (-1933.770) (-1914.823) -- 0:08:06
84000 -- (-1941.099) (-1917.413) (-1924.008) [-1918.381] * (-1922.250) [-1928.108] (-1945.099) (-1925.726) -- 0:08:10
85000 -- (-1945.367) [-1907.649] (-1925.157) (-1928.640) * (-1940.207) [-1918.918] (-1930.614) (-1933.279) -- 0:08:04
Average standard deviation of split frequencies: 0.025965
86000 -- (-1918.840) (-1915.498) (-1931.184) [-1913.352] * (-1914.367) (-1923.978) (-1937.663) [-1923.618] -- 0:08:08
87000 -- [-1921.957] (-1914.257) (-1938.108) (-1919.236) * [-1926.336] (-1936.763) (-1925.109) (-1932.260) -- 0:08:02
88000 -- (-1919.512) [-1910.415] (-1929.394) (-1922.526) * (-1919.334) (-1927.530) [-1923.630] (-1924.065) -- 0:08:07
89000 -- (-1916.762) (-1923.050) [-1912.760] (-1927.807) * (-1937.160) (-1933.192) (-1923.742) [-1910.798] -- 0:08:01
90000 -- (-1933.719) (-1921.125) [-1913.851] (-1923.513) * (-1927.440) (-1930.106) (-1921.253) [-1908.552] -- 0:08:05
Average standard deviation of split frequencies: 0.023633
91000 -- [-1922.636] (-1929.089) (-1920.855) (-1913.299) * (-1916.218) (-1920.912) [-1920.182] (-1909.340) -- 0:07:59
92000 -- (-1935.838) [-1907.268] (-1912.739) (-1923.219) * (-1923.480) (-1922.988) [-1911.429] (-1927.607) -- 0:08:03
93000 -- (-1926.633) [-1914.929] (-1930.254) (-1915.693) * (-1918.112) [-1923.599] (-1911.807) (-1916.379) -- 0:07:57
94000 -- (-1926.238) [-1913.852] (-1924.439) (-1912.135) * (-1920.872) [-1921.040] (-1916.846) (-1914.599) -- 0:08:01
95000 -- (-1919.558) [-1917.066] (-1926.880) (-1929.055) * (-1937.723) (-1920.479) [-1913.041] (-1932.804) -- 0:07:56
Average standard deviation of split frequencies: 0.023444
96000 -- [-1914.267] (-1917.974) (-1926.560) (-1919.432) * (-1927.893) (-1928.664) [-1909.454] (-1931.003) -- 0:08:00
97000 -- [-1911.136] (-1914.854) (-1940.860) (-1918.610) * (-1920.102) (-1918.809) [-1910.195] (-1937.173) -- 0:07:54
98000 -- [-1914.791] (-1914.278) (-1928.660) (-1912.260) * (-1909.489) (-1920.478) [-1907.022] (-1935.063) -- 0:07:58
99000 -- (-1925.202) [-1909.763] (-1928.287) (-1919.712) * (-1913.392) (-1919.916) (-1925.091) [-1926.773] -- 0:08:02
100000 -- (-1920.685) [-1908.544] (-1934.065) (-1922.527) * (-1917.481) (-1932.898) [-1913.444] (-1921.734) -- 0:07:57
Average standard deviation of split frequencies: 0.021909
101000 -- [-1907.227] (-1922.062) (-1924.544) (-1931.968) * [-1908.478] (-1948.710) (-1925.994) (-1926.275) -- 0:08:00
102000 -- [-1915.586] (-1933.060) (-1927.256) (-1924.463) * (-1926.244) (-1935.894) [-1908.593] (-1917.468) -- 0:07:55
103000 -- (-1922.592) [-1915.172] (-1930.392) (-1917.975) * (-1929.277) (-1913.731) (-1914.800) [-1908.047] -- 0:07:58
104000 -- [-1922.279] (-1922.220) (-1918.943) (-1931.996) * (-1939.731) (-1914.962) [-1908.307] (-1915.989) -- 0:07:53
105000 -- [-1912.552] (-1915.130) (-1915.215) (-1925.516) * (-1939.044) (-1920.221) (-1912.930) [-1918.994] -- 0:07:57
Average standard deviation of split frequencies: 0.020838
106000 -- (-1916.024) (-1912.559) [-1922.296] (-1932.536) * (-1930.717) [-1921.333] (-1919.169) (-1926.417) -- 0:07:52
107000 -- [-1912.522] (-1926.990) (-1923.300) (-1929.740) * (-1929.149) (-1913.638) [-1922.044] (-1918.931) -- 0:07:55
108000 -- [-1913.953] (-1915.491) (-1920.545) (-1926.193) * (-1915.733) (-1911.871) (-1930.773) [-1912.442] -- 0:07:50
109000 -- (-1919.086) [-1910.672] (-1922.870) (-1941.570) * (-1925.231) (-1912.331) [-1917.088] (-1930.545) -- 0:07:54
110000 -- (-1922.408) [-1916.553] (-1916.534) (-1926.574) * (-1917.792) (-1912.830) (-1921.044) [-1924.414] -- 0:07:49
Average standard deviation of split frequencies: 0.021040
111000 -- (-1919.744) [-1917.745] (-1924.793) (-1922.722) * (-1927.164) (-1916.343) [-1917.936] (-1924.263) -- 0:07:52
112000 -- (-1934.829) (-1926.556) [-1915.335] (-1925.712) * (-1923.355) (-1914.267) (-1936.180) [-1925.770] -- 0:07:47
113000 -- (-1941.472) (-1930.791) [-1913.057] (-1932.230) * (-1920.661) [-1915.076] (-1913.601) (-1922.412) -- 0:07:50
114000 -- [-1910.532] (-1921.326) (-1916.471) (-1934.618) * (-1941.144) (-1916.545) [-1915.740] (-1921.617) -- 0:07:54
115000 -- [-1919.621] (-1931.567) (-1916.710) (-1926.962) * (-1917.792) (-1935.202) (-1926.931) [-1914.734] -- 0:07:49
Average standard deviation of split frequencies: 0.018694
116000 -- [-1912.370] (-1918.636) (-1923.179) (-1930.125) * (-1916.572) (-1926.397) [-1909.974] (-1912.624) -- 0:07:52
117000 -- [-1916.149] (-1917.007) (-1917.746) (-1916.643) * (-1928.200) (-1922.801) [-1914.895] (-1928.901) -- 0:07:47
118000 -- (-1923.281) (-1943.279) [-1927.926] (-1922.155) * (-1919.715) (-1923.878) [-1914.680] (-1917.631) -- 0:07:50
119000 -- [-1916.791] (-1932.807) (-1909.021) (-1923.038) * (-1922.648) (-1925.518) [-1927.693] (-1912.848) -- 0:07:46
120000 -- (-1935.087) (-1952.675) [-1915.573] (-1916.979) * (-1930.785) (-1932.211) (-1911.164) [-1921.496] -- 0:07:49
Average standard deviation of split frequencies: 0.019155
121000 -- (-1929.134) (-1932.345) [-1911.621] (-1924.495) * [-1917.439] (-1917.552) (-1908.791) (-1931.594) -- 0:07:44
122000 -- (-1922.568) (-1932.282) [-1914.124] (-1937.690) * [-1913.214] (-1925.072) (-1916.912) (-1927.436) -- 0:07:47
123000 -- (-1934.909) (-1912.902) [-1922.966] (-1941.845) * (-1931.612) [-1915.584] (-1935.470) (-1929.912) -- 0:07:43
124000 -- (-1930.882) [-1913.749] (-1921.746) (-1928.780) * [-1931.320] (-1929.677) (-1936.517) (-1932.494) -- 0:07:46
125000 -- (-1923.241) (-1923.924) (-1920.305) [-1917.418] * [-1910.546] (-1926.534) (-1926.462) (-1938.701) -- 0:07:42
Average standard deviation of split frequencies: 0.019917
126000 -- [-1905.449] (-1939.898) (-1922.279) (-1927.692) * [-1913.934] (-1922.901) (-1920.759) (-1923.541) -- 0:07:44
127000 -- [-1914.750] (-1918.591) (-1937.706) (-1932.125) * [-1915.979] (-1933.072) (-1922.920) (-1918.462) -- 0:07:40
128000 -- (-1917.523) [-1910.264] (-1918.389) (-1939.055) * (-1920.534) [-1922.520] (-1928.023) (-1912.302) -- 0:07:43
129000 -- (-1941.247) [-1923.149] (-1919.665) (-1921.081) * (-1934.789) [-1926.303] (-1937.457) (-1936.052) -- 0:07:45
130000 -- (-1926.795) [-1918.069] (-1920.007) (-1931.011) * [-1916.761] (-1915.384) (-1939.128) (-1942.752) -- 0:07:41
Average standard deviation of split frequencies: 0.021064
131000 -- (-1915.813) (-1929.538) [-1921.626] (-1920.363) * (-1921.523) (-1906.893) [-1917.365] (-1932.506) -- 0:07:44
132000 -- (-1925.538) (-1938.345) (-1914.548) [-1914.101] * (-1927.384) [-1912.248] (-1926.513) (-1933.716) -- 0:07:40
133000 -- (-1918.411) (-1927.276) (-1929.767) [-1913.206] * (-1922.490) [-1912.667] (-1928.197) (-1923.467) -- 0:07:42
134000 -- (-1927.808) (-1920.039) [-1916.623] (-1911.659) * [-1912.225] (-1917.586) (-1930.461) (-1918.652) -- 0:07:38
135000 -- (-1925.260) (-1927.844) (-1924.997) [-1917.453] * (-1916.491) (-1932.451) (-1939.602) [-1923.790] -- 0:07:41
Average standard deviation of split frequencies: 0.021837
136000 -- (-1924.777) (-1925.187) (-1924.339) [-1915.551] * [-1919.345] (-1926.383) (-1919.898) (-1944.783) -- 0:07:37
137000 -- (-1930.645) (-1934.141) (-1919.680) [-1910.286] * (-1921.263) (-1928.115) [-1915.931] (-1943.543) -- 0:07:39
138000 -- [-1915.899] (-1935.774) (-1932.414) (-1915.237) * (-1931.511) [-1917.674] (-1915.820) (-1930.087) -- 0:07:35
139000 -- (-1914.479) (-1928.826) [-1918.850] (-1935.543) * (-1921.624) (-1919.362) [-1911.822] (-1939.873) -- 0:07:38
140000 -- [-1911.450] (-1932.183) (-1924.748) (-1925.653) * [-1923.539] (-1923.801) (-1917.741) (-1928.125) -- 0:07:34
Average standard deviation of split frequencies: 0.019884
141000 -- (-1918.412) (-1931.978) [-1925.510] (-1918.527) * (-1916.747) [-1916.459] (-1918.227) (-1938.598) -- 0:07:36
142000 -- (-1909.612) (-1930.370) (-1926.454) [-1909.822] * [-1917.416] (-1918.746) (-1916.221) (-1915.665) -- 0:07:39
143000 -- (-1919.007) (-1944.369) (-1933.868) [-1913.685] * [-1921.287] (-1912.092) (-1912.780) (-1933.893) -- 0:07:35
144000 -- (-1926.029) (-1931.879) (-1925.602) [-1914.582] * (-1930.686) [-1919.169] (-1925.122) (-1931.924) -- 0:07:37
145000 -- (-1927.820) (-1911.382) (-1936.770) [-1911.687] * (-1935.770) [-1922.247] (-1911.705) (-1927.157) -- 0:07:34
Average standard deviation of split frequencies: 0.020180
146000 -- [-1915.980] (-1912.626) (-1923.521) (-1922.672) * (-1918.873) (-1921.915) (-1917.273) [-1922.008] -- 0:07:36
147000 -- [-1913.912] (-1916.903) (-1944.132) (-1923.230) * (-1921.856) (-1934.843) (-1928.572) [-1919.540] -- 0:07:32
148000 -- [-1911.768] (-1925.691) (-1914.462) (-1937.337) * (-1921.782) (-1923.017) [-1916.768] (-1921.143) -- 0:07:34
149000 -- (-1925.683) (-1914.963) [-1916.563] (-1936.390) * (-1940.471) [-1911.003] (-1906.264) (-1913.752) -- 0:07:31
150000 -- [-1912.899] (-1926.886) (-1922.449) (-1934.822) * (-1941.873) (-1924.731) [-1905.648] (-1917.659) -- 0:07:33
Average standard deviation of split frequencies: 0.020826
151000 -- [-1920.932] (-1928.002) (-1922.777) (-1923.816) * (-1945.153) (-1925.241) [-1910.465] (-1937.985) -- 0:07:29
152000 -- (-1914.375) (-1925.525) (-1928.527) [-1917.653] * [-1915.676] (-1922.761) (-1919.801) (-1931.124) -- 0:07:31
153000 -- (-1929.240) [-1916.671] (-1920.289) (-1925.728) * [-1913.805] (-1919.832) (-1917.196) (-1927.204) -- 0:07:28
154000 -- [-1917.129] (-1918.289) (-1926.463) (-1928.036) * [-1917.097] (-1927.483) (-1917.442) (-1925.940) -- 0:07:30
155000 -- (-1913.607) [-1920.883] (-1920.211) (-1929.284) * (-1925.937) (-1918.686) [-1916.282] (-1935.541) -- 0:07:27
Average standard deviation of split frequencies: 0.019788
156000 -- (-1920.173) [-1910.537] (-1916.081) (-1921.521) * (-1921.213) [-1918.892] (-1912.145) (-1935.057) -- 0:07:29
157000 -- (-1924.183) [-1914.672] (-1930.589) (-1927.476) * (-1926.677) (-1938.163) (-1919.543) [-1925.721] -- 0:07:25
158000 -- (-1920.734) [-1914.421] (-1919.285) (-1916.003) * [-1914.255] (-1926.423) (-1930.919) (-1914.163) -- 0:07:27
159000 -- (-1920.069) [-1914.101] (-1927.603) (-1906.112) * [-1915.921] (-1918.577) (-1926.105) (-1920.609) -- 0:07:29
160000 -- (-1916.287) [-1908.895] (-1919.298) (-1919.794) * (-1930.952) (-1940.102) (-1937.664) [-1912.627] -- 0:07:26
Average standard deviation of split frequencies: 0.020538
161000 -- (-1928.253) [-1907.452] (-1925.179) (-1921.887) * (-1927.217) (-1919.208) (-1919.157) [-1924.050] -- 0:07:28
162000 -- (-1923.472) (-1914.775) [-1916.524] (-1929.703) * (-1920.810) [-1919.631] (-1919.981) (-1905.380) -- 0:07:24
163000 -- (-1924.598) [-1907.971] (-1929.851) (-1920.691) * (-1935.606) (-1910.041) (-1926.207) [-1929.304] -- 0:07:26
164000 -- (-1917.916) [-1912.541] (-1933.125) (-1913.731) * (-1936.174) (-1922.758) (-1918.196) [-1917.922] -- 0:07:23
165000 -- (-1912.456) (-1922.658) (-1928.974) [-1908.767] * (-1927.704) (-1935.049) [-1916.194] (-1925.511) -- 0:07:25
Average standard deviation of split frequencies: 0.021204
166000 -- (-1917.867) [-1914.301] (-1921.178) (-1913.984) * (-1928.046) (-1921.083) [-1910.365] (-1923.629) -- 0:07:22
167000 -- [-1918.699] (-1915.100) (-1929.790) (-1912.977) * (-1915.179) (-1927.570) [-1913.639] (-1919.262) -- 0:07:23
168000 -- (-1919.911) [-1921.784] (-1917.909) (-1927.278) * (-1916.095) (-1910.638) (-1931.964) [-1914.363] -- 0:07:20
169000 -- (-1923.769) (-1919.705) (-1923.835) [-1912.396] * (-1912.433) (-1922.036) [-1913.024] (-1933.299) -- 0:07:22
170000 -- (-1921.877) (-1933.453) [-1914.923] (-1918.854) * (-1926.509) (-1904.064) [-1907.653] (-1934.693) -- 0:07:19
Average standard deviation of split frequencies: 0.020808
171000 -- [-1921.924] (-1940.408) (-1922.389) (-1926.540) * (-1926.989) [-1908.292] (-1917.483) (-1923.029) -- 0:07:21
172000 -- (-1935.752) (-1910.970) [-1925.950] (-1923.731) * (-1945.969) [-1910.163] (-1914.576) (-1930.007) -- 0:07:18
173000 -- (-1924.757) (-1921.169) (-1919.970) [-1922.380] * (-1933.148) (-1920.736) [-1920.918] (-1921.173) -- 0:07:19
174000 -- (-1920.012) (-1929.184) (-1920.096) [-1912.219] * (-1926.465) (-1922.479) (-1913.609) [-1913.656] -- 0:07:21
175000 -- (-1921.481) (-1926.935) (-1914.079) [-1917.146] * (-1925.932) (-1934.778) (-1912.930) [-1912.632] -- 0:07:18
Average standard deviation of split frequencies: 0.020624
176000 -- (-1915.179) (-1926.406) [-1916.812] (-1922.225) * (-1938.338) (-1933.538) (-1918.582) [-1914.728] -- 0:07:20
177000 -- (-1915.630) (-1925.329) (-1930.522) [-1910.526] * (-1936.483) (-1941.356) (-1915.862) [-1916.878] -- 0:07:17
178000 -- [-1916.417] (-1920.949) (-1929.646) (-1925.086) * (-1935.280) (-1918.892) [-1904.748] (-1931.268) -- 0:07:18
179000 -- (-1924.861) (-1920.039) (-1937.289) [-1920.100] * (-1930.017) (-1922.838) [-1911.827] (-1944.481) -- 0:07:15
180000 -- [-1922.645] (-1928.997) (-1944.827) (-1918.061) * (-1932.566) (-1921.119) [-1909.006] (-1927.691) -- 0:07:17
Average standard deviation of split frequencies: 0.018445
181000 -- (-1915.593) (-1937.418) [-1917.978] (-1914.246) * (-1939.577) (-1923.279) [-1915.485] (-1912.182) -- 0:07:14
182000 -- [-1910.652] (-1922.661) (-1910.892) (-1916.307) * (-1922.093) (-1924.970) [-1914.125] (-1924.464) -- 0:07:15
183000 -- [-1912.967] (-1929.545) (-1930.184) (-1920.721) * (-1933.031) [-1921.695] (-1924.295) (-1911.695) -- 0:07:13
184000 -- (-1920.968) [-1914.896] (-1919.538) (-1924.545) * [-1922.359] (-1939.445) (-1924.680) (-1917.933) -- 0:07:14
185000 -- (-1942.435) (-1923.890) (-1916.991) [-1927.315] * (-1937.590) (-1927.571) (-1922.897) [-1917.944] -- 0:07:11
Average standard deviation of split frequencies: 0.017823
186000 -- (-1929.835) (-1930.987) (-1917.594) [-1918.161] * (-1929.548) [-1916.110] (-1945.259) (-1916.060) -- 0:07:13
187000 -- (-1923.765) (-1920.114) (-1931.305) [-1918.373] * (-1923.733) (-1913.983) (-1929.840) [-1911.105] -- 0:07:10
188000 -- (-1935.720) (-1922.956) (-1912.461) [-1918.143] * (-1931.713) (-1916.826) [-1905.596] (-1911.824) -- 0:07:11
189000 -- (-1938.526) (-1921.448) [-1910.699] (-1918.062) * (-1927.078) [-1904.199] (-1918.648) (-1935.039) -- 0:07:09
190000 -- (-1926.186) [-1903.731] (-1923.082) (-1921.087) * [-1919.244] (-1921.756) (-1916.980) (-1932.477) -- 0:07:10
Average standard deviation of split frequencies: 0.017733
191000 -- (-1925.122) [-1910.054] (-1943.934) (-1919.533) * (-1921.377) (-1924.595) [-1914.082] (-1952.043) -- 0:07:07
192000 -- (-1916.719) (-1921.942) (-1920.748) [-1919.407] * [-1917.530] (-1914.327) (-1921.831) (-1927.145) -- 0:07:09
193000 -- (-1927.139) (-1919.506) (-1927.473) [-1924.339] * (-1912.670) (-1933.793) [-1918.296] (-1927.443) -- 0:07:10
194000 -- (-1925.922) [-1916.427] (-1923.423) (-1922.719) * (-1918.439) (-1931.998) [-1922.660] (-1933.309) -- 0:07:07
195000 -- (-1931.197) (-1915.528) (-1920.229) [-1916.666] * (-1912.911) (-1930.849) [-1909.853] (-1924.952) -- 0:07:09
Average standard deviation of split frequencies: 0.018680
196000 -- (-1922.685) (-1920.876) (-1922.933) [-1916.329] * (-1938.842) (-1915.847) [-1903.793] (-1934.635) -- 0:07:06
197000 -- (-1926.061) [-1915.521] (-1928.043) (-1921.190) * (-1924.762) (-1908.808) [-1914.309] (-1924.901) -- 0:07:07
198000 -- (-1919.651) [-1913.123] (-1918.131) (-1919.064) * (-1930.838) [-1906.970] (-1911.306) (-1943.051) -- 0:07:05
199000 -- (-1909.439) (-1923.048) (-1929.989) [-1906.735] * (-1934.869) (-1923.619) [-1906.199] (-1941.969) -- 0:07:06
200000 -- [-1926.315] (-1926.283) (-1939.994) (-1919.955) * (-1929.594) (-1930.896) [-1912.528] (-1929.170) -- 0:07:04
Average standard deviation of split frequencies: 0.019037
201000 -- (-1924.520) [-1922.731] (-1918.093) (-1917.995) * (-1927.269) (-1918.251) (-1919.269) [-1917.928] -- 0:07:05
202000 -- [-1924.687] (-1944.042) (-1921.937) (-1933.289) * (-1924.341) (-1924.084) (-1936.351) [-1918.692] -- 0:07:02
203000 -- (-1916.123) (-1926.340) [-1913.063] (-1920.389) * (-1943.635) (-1921.819) (-1925.530) [-1912.687] -- 0:07:04
204000 -- (-1917.567) (-1916.779) (-1927.426) [-1918.432] * (-1936.771) [-1905.772] (-1932.610) (-1922.056) -- 0:07:01
205000 -- (-1918.824) (-1932.736) (-1929.424) [-1908.360] * [-1914.764] (-1914.183) (-1927.853) (-1924.834) -- 0:07:02
Average standard deviation of split frequencies: 0.017926
206000 -- (-1933.330) (-1931.771) (-1926.471) [-1927.755] * (-1908.527) [-1910.837] (-1921.461) (-1914.387) -- 0:07:00
207000 -- (-1928.405) (-1934.420) (-1918.797) [-1904.071] * (-1924.308) (-1921.015) (-1916.251) [-1906.791] -- 0:07:01
208000 -- [-1920.551] (-1933.576) (-1926.694) (-1925.568) * (-1917.553) (-1939.767) (-1910.522) [-1917.925] -- 0:06:58
209000 -- (-1925.233) (-1921.198) (-1934.789) [-1915.688] * (-1912.594) (-1919.657) [-1921.703] (-1917.547) -- 0:07:00
210000 -- (-1929.647) (-1915.579) (-1925.248) [-1905.927] * (-1928.358) (-1923.949) (-1916.510) [-1914.679] -- 0:06:57
Average standard deviation of split frequencies: 0.017379
211000 -- (-1923.168) [-1919.721] (-1923.369) (-1913.773) * (-1917.794) (-1928.026) (-1920.199) [-1917.566] -- 0:06:58
212000 -- (-1918.428) (-1932.250) [-1913.587] (-1908.881) * (-1915.028) (-1935.894) [-1911.882] (-1924.582) -- 0:06:56
213000 -- (-1925.633) (-1924.968) (-1927.882) [-1910.854] * (-1928.731) (-1934.770) (-1922.819) [-1912.916] -- 0:06:57
214000 -- (-1928.410) (-1923.190) (-1940.600) [-1916.613] * [-1922.737] (-1924.201) (-1927.104) (-1918.138) -- 0:06:55
215000 -- [-1927.098] (-1928.597) (-1939.295) (-1914.018) * (-1921.237) (-1922.261) (-1920.146) [-1915.097] -- 0:06:56
Average standard deviation of split frequencies: 0.017693
216000 -- (-1925.928) (-1920.489) [-1912.939] (-1919.721) * (-1908.034) [-1910.996] (-1912.414) (-1929.038) -- 0:06:53
217000 -- [-1917.762] (-1927.566) (-1923.270) (-1942.919) * (-1920.574) [-1927.593] (-1921.524) (-1923.976) -- 0:06:54
218000 -- [-1914.403] (-1939.190) (-1909.359) (-1932.980) * (-1930.597) [-1925.510] (-1914.592) (-1927.931) -- 0:06:52
219000 -- [-1919.049] (-1920.702) (-1917.111) (-1939.092) * (-1932.474) (-1911.621) (-1918.170) [-1910.802] -- 0:06:53
220000 -- (-1916.539) (-1928.708) [-1913.729] (-1923.291) * (-1918.736) (-1920.858) (-1942.690) [-1909.183] -- 0:06:54
Average standard deviation of split frequencies: 0.017644
221000 -- (-1917.709) (-1927.746) (-1922.560) [-1907.879] * (-1916.933) (-1931.580) (-1925.605) [-1914.121] -- 0:06:52
222000 -- [-1920.197] (-1931.385) (-1922.460) (-1914.541) * (-1910.867) [-1923.714] (-1929.224) (-1921.030) -- 0:06:53
223000 -- (-1924.309) (-1935.669) (-1943.471) [-1915.036] * (-1913.132) (-1924.501) (-1945.817) [-1918.384] -- 0:06:51
224000 -- (-1916.826) [-1924.979] (-1924.360) (-1915.627) * (-1925.961) (-1917.330) (-1917.848) [-1919.542] -- 0:06:52
225000 -- (-1925.113) (-1935.418) [-1914.739] (-1915.116) * (-1944.344) (-1923.926) (-1913.502) [-1924.722] -- 0:06:49
Average standard deviation of split frequencies: 0.016463
226000 -- (-1927.059) (-1923.027) [-1906.173] (-1927.138) * (-1919.922) (-1920.082) (-1920.679) [-1921.998] -- 0:06:50
227000 -- (-1944.474) [-1916.941] (-1914.058) (-1922.307) * (-1920.290) (-1934.210) [-1917.827] (-1925.263) -- 0:06:48
228000 -- (-1937.367) [-1911.507] (-1913.563) (-1929.998) * (-1907.824) (-1917.243) (-1919.230) [-1919.770] -- 0:06:49
229000 -- (-1924.265) (-1914.413) [-1917.552] (-1929.361) * [-1914.507] (-1921.138) (-1942.880) (-1921.354) -- 0:06:47
230000 -- (-1917.825) (-1909.603) [-1901.092] (-1922.129) * (-1925.712) (-1923.861) (-1931.836) [-1917.884] -- 0:06:48
Average standard deviation of split frequencies: 0.015926
231000 -- (-1920.936) (-1933.611) [-1902.609] (-1924.617) * (-1931.237) (-1923.049) (-1932.952) [-1913.211] -- 0:06:46
232000 -- (-1924.292) (-1929.696) (-1917.489) [-1905.864] * (-1934.056) (-1908.713) (-1928.679) [-1911.961] -- 0:06:47
233000 -- (-1923.005) (-1938.480) [-1905.769] (-1917.312) * [-1927.298] (-1923.614) (-1929.777) (-1923.520) -- 0:06:44
234000 -- [-1916.794] (-1924.063) (-1925.663) (-1914.014) * (-1919.312) (-1927.015) [-1908.834] (-1925.319) -- 0:06:45
235000 -- (-1915.139) (-1924.447) (-1929.085) [-1915.044] * [-1919.623] (-1942.571) (-1927.044) (-1919.147) -- 0:06:46
Average standard deviation of split frequencies: 0.016051
236000 -- (-1916.889) (-1916.884) (-1922.357) [-1910.988] * (-1936.858) (-1931.688) (-1923.936) [-1903.106] -- 0:06:44
237000 -- [-1909.548] (-1917.154) (-1936.800) (-1912.066) * (-1927.181) (-1926.486) (-1911.192) [-1910.401] -- 0:06:45
238000 -- (-1929.669) (-1922.834) (-1923.585) [-1911.663] * (-1936.507) (-1931.880) (-1918.065) [-1909.149] -- 0:06:43
239000 -- (-1924.905) (-1938.506) (-1920.641) [-1910.070] * (-1922.210) (-1932.517) (-1918.733) [-1911.584] -- 0:06:44
240000 -- (-1934.440) (-1929.296) (-1923.045) [-1909.460] * (-1927.682) (-1928.661) [-1921.577] (-1925.570) -- 0:06:42
Average standard deviation of split frequencies: 0.016395
241000 -- (-1933.610) (-1926.823) [-1915.094] (-1915.503) * (-1937.633) (-1933.962) [-1928.941] (-1922.040) -- 0:06:43
242000 -- (-1936.908) (-1923.788) [-1920.987] (-1911.907) * (-1940.906) [-1918.740] (-1923.199) (-1934.067) -- 0:06:40
243000 -- (-1918.426) (-1931.102) [-1923.002] (-1913.356) * (-1935.630) (-1919.123) [-1920.620] (-1922.935) -- 0:06:41
244000 -- (-1917.210) (-1919.686) (-1925.196) [-1913.858] * (-1921.731) [-1920.178] (-1916.897) (-1916.801) -- 0:06:39
245000 -- (-1928.681) (-1926.789) (-1936.887) [-1914.164] * (-1938.921) (-1930.389) (-1937.927) [-1908.959] -- 0:06:40
Average standard deviation of split frequencies: 0.016083
246000 -- (-1924.369) (-1947.273) (-1925.636) [-1916.873] * [-1914.753] (-1929.734) (-1926.012) (-1907.602) -- 0:06:41
247000 -- (-1927.491) (-1926.078) (-1934.027) [-1910.877] * (-1922.456) (-1916.748) [-1913.727] (-1923.834) -- 0:06:39
248000 -- (-1927.953) (-1918.953) (-1941.477) [-1913.896] * (-1921.560) [-1908.839] (-1926.801) (-1922.521) -- 0:06:40
249000 -- (-1933.758) [-1914.507] (-1925.720) (-1903.888) * (-1921.862) (-1928.648) (-1943.328) [-1911.096] -- 0:06:38
250000 -- (-1925.787) (-1919.378) (-1930.391) [-1912.577] * [-1920.042] (-1925.121) (-1924.949) (-1918.496) -- 0:06:39
Average standard deviation of split frequencies: 0.015110
251000 -- (-1915.395) (-1927.932) (-1920.716) [-1915.530] * [-1916.906] (-1935.061) (-1930.202) (-1917.777) -- 0:06:36
252000 -- [-1911.721] (-1923.568) (-1914.689) (-1935.041) * (-1913.045) (-1925.984) [-1928.967] (-1921.443) -- 0:06:37
253000 -- [-1913.398] (-1925.914) (-1925.041) (-1926.305) * (-1916.790) (-1923.437) [-1919.525] (-1925.974) -- 0:06:35
254000 -- (-1938.454) [-1914.072] (-1914.811) (-1931.519) * [-1913.361] (-1914.219) (-1912.760) (-1927.480) -- 0:06:36
255000 -- [-1905.999] (-1929.103) (-1919.555) (-1924.954) * [-1912.401] (-1930.120) (-1916.904) (-1922.326) -- 0:06:34
Average standard deviation of split frequencies: 0.014541
256000 -- (-1913.643) (-1936.573) [-1905.597] (-1929.465) * (-1911.612) (-1929.045) (-1921.798) [-1905.636] -- 0:06:35
257000 -- (-1910.652) [-1913.058] (-1925.098) (-1913.688) * [-1905.604] (-1931.200) (-1921.560) (-1914.377) -- 0:06:33
258000 -- (-1922.777) [-1914.966] (-1919.387) (-1923.300) * [-1909.993] (-1924.984) (-1932.151) (-1916.005) -- 0:06:34
259000 -- (-1933.530) (-1911.400) (-1925.689) [-1916.914] * (-1916.491) (-1922.450) (-1923.372) [-1917.434] -- 0:06:31
260000 -- [-1918.690] (-1924.372) (-1918.792) (-1926.561) * (-1923.348) (-1929.453) (-1929.136) [-1927.711] -- 0:06:32
Average standard deviation of split frequencies: 0.013886
261000 -- (-1912.857) [-1918.154] (-1925.080) (-1936.835) * (-1915.808) (-1926.785) [-1918.683] (-1919.582) -- 0:06:30
262000 -- (-1934.756) [-1914.388] (-1922.289) (-1938.647) * (-1929.101) (-1916.644) (-1924.871) [-1915.851] -- 0:06:31
263000 -- (-1936.750) (-1920.111) [-1909.713] (-1925.138) * (-1949.776) (-1916.040) (-1913.349) [-1918.700] -- 0:06:32
264000 -- (-1924.217) (-1917.226) [-1923.044] (-1944.613) * (-1928.334) (-1916.741) (-1924.129) [-1916.415] -- 0:06:30
265000 -- [-1922.713] (-1922.510) (-1931.364) (-1922.546) * (-1919.089) [-1911.999] (-1930.427) (-1927.551) -- 0:06:31
Average standard deviation of split frequencies: 0.013872
266000 -- (-1919.947) [-1915.092] (-1913.543) (-1931.213) * (-1928.089) [-1914.758] (-1928.593) (-1928.531) -- 0:06:29
267000 -- (-1927.439) [-1911.725] (-1930.709) (-1925.811) * (-1928.598) (-1907.987) (-1920.618) [-1918.175] -- 0:06:29
268000 -- (-1927.272) [-1910.835] (-1922.990) (-1930.745) * (-1918.788) (-1913.780) (-1931.262) [-1918.819] -- 0:06:27
269000 -- (-1919.387) (-1923.921) (-1916.250) [-1929.170] * (-1936.412) (-1915.946) (-1915.439) [-1912.162] -- 0:06:28
270000 -- (-1912.707) (-1942.258) [-1917.049] (-1926.871) * (-1925.802) (-1939.543) [-1924.093] (-1909.821) -- 0:06:26
Average standard deviation of split frequencies: 0.014062
271000 -- [-1925.407] (-1929.129) (-1911.169) (-1937.442) * (-1934.126) (-1920.801) (-1918.397) [-1918.957] -- 0:06:27
272000 -- (-1929.820) (-1926.783) [-1915.169] (-1929.634) * (-1934.444) (-1922.357) [-1921.705] (-1917.082) -- 0:06:25
273000 -- (-1924.664) (-1924.448) [-1912.478] (-1933.899) * [-1917.583] (-1938.560) (-1915.486) (-1916.792) -- 0:06:26
274000 -- (-1945.316) (-1914.374) [-1910.262] (-1925.994) * (-1916.979) (-1923.443) [-1912.665] (-1916.790) -- 0:06:24
275000 -- (-1940.269) [-1924.938] (-1923.678) (-1920.740) * (-1921.126) (-1916.503) [-1909.074] (-1922.011) -- 0:06:24
Average standard deviation of split frequencies: 0.013727
276000 -- (-1927.518) (-1934.601) [-1911.619] (-1934.483) * [-1912.816] (-1910.103) (-1927.725) (-1930.368) -- 0:06:22
277000 -- (-1928.034) (-1933.189) [-1921.141] (-1952.524) * [-1914.128] (-1936.418) (-1902.493) (-1920.291) -- 0:06:23
278000 -- [-1914.987] (-1925.175) (-1921.098) (-1944.169) * [-1910.746] (-1936.167) (-1912.284) (-1924.818) -- 0:06:24
279000 -- (-1920.487) (-1931.832) (-1941.102) [-1926.622] * (-1907.698) (-1928.561) [-1918.554] (-1937.232) -- 0:06:22
280000 -- (-1918.709) (-1925.668) (-1922.481) [-1922.245] * (-1918.976) (-1920.660) (-1923.881) [-1911.257] -- 0:06:23
Average standard deviation of split frequencies: 0.012815
281000 -- (-1919.202) [-1918.400] (-1920.812) (-1927.751) * (-1917.706) (-1937.569) (-1919.727) [-1916.581] -- 0:06:21
282000 -- (-1923.343) (-1913.467) [-1909.676] (-1922.598) * [-1920.568] (-1919.937) (-1922.860) (-1921.459) -- 0:06:21
283000 -- (-1937.984) (-1912.651) [-1911.334] (-1916.917) * (-1924.135) (-1927.883) (-1916.733) [-1909.761] -- 0:06:20
284000 -- (-1927.788) (-1912.055) [-1913.495] (-1921.566) * (-1932.843) (-1933.314) (-1922.605) [-1918.402] -- 0:06:20
285000 -- (-1924.034) (-1933.871) [-1913.086] (-1917.889) * (-1940.530) (-1919.650) [-1922.221] (-1919.870) -- 0:06:18
Average standard deviation of split frequencies: 0.012331
286000 -- (-1935.960) [-1919.883] (-1922.668) (-1943.637) * (-1937.427) (-1931.826) [-1907.221] (-1911.045) -- 0:06:19
287000 -- (-1926.034) (-1921.810) [-1920.599] (-1930.503) * (-1921.904) (-1938.412) [-1916.361] (-1916.582) -- 0:06:17
288000 -- (-1926.638) (-1915.985) [-1909.319] (-1927.691) * (-1917.499) (-1924.204) [-1919.237] (-1910.998) -- 0:06:18
289000 -- (-1938.894) (-1928.115) (-1913.453) [-1919.710] * (-1924.033) [-1915.711] (-1935.163) (-1936.057) -- 0:06:16
290000 -- (-1924.981) [-1914.547] (-1920.937) (-1913.840) * (-1920.672) [-1915.433] (-1917.071) (-1948.150) -- 0:06:17
Average standard deviation of split frequencies: 0.012494
291000 -- (-1933.111) (-1917.234) (-1918.889) [-1913.988] * (-1941.873) (-1912.285) [-1917.201] (-1928.025) -- 0:06:15
292000 -- (-1938.321) (-1917.795) [-1911.021] (-1915.432) * (-1931.227) [-1911.861] (-1928.225) (-1925.390) -- 0:06:15
293000 -- [-1911.560] (-1917.656) (-1921.611) (-1922.157) * (-1919.924) [-1925.373] (-1918.351) (-1931.837) -- 0:06:16
294000 -- (-1933.689) [-1918.237] (-1916.431) (-1915.184) * (-1912.355) [-1921.556] (-1917.487) (-1925.587) -- 0:06:14
295000 -- (-1939.052) (-1919.797) (-1928.187) [-1929.897] * (-1932.277) (-1916.731) [-1907.344] (-1927.507) -- 0:06:15
Average standard deviation of split frequencies: 0.013935
296000 -- [-1915.558] (-1922.523) (-1945.784) (-1918.290) * (-1930.296) (-1925.927) [-1920.754] (-1935.569) -- 0:06:13
297000 -- (-1932.364) [-1912.008] (-1941.695) (-1913.195) * (-1916.393) (-1918.372) [-1922.514] (-1932.196) -- 0:06:13
298000 -- (-1928.517) (-1918.706) (-1925.030) [-1908.387] * (-1915.014) (-1925.160) [-1912.242] (-1928.833) -- 0:06:12
299000 -- (-1927.693) (-1916.786) (-1925.537) [-1912.124] * (-1918.162) (-1928.597) [-1918.745] (-1930.332) -- 0:06:12
300000 -- (-1933.750) (-1919.500) [-1922.283] (-1913.551) * (-1920.946) (-1932.756) [-1907.114] (-1926.337) -- 0:06:11
Average standard deviation of split frequencies: 0.013007
301000 -- [-1918.706] (-1926.185) (-1917.987) (-1922.495) * (-1924.920) (-1933.540) [-1912.744] (-1925.908) -- 0:06:11
302000 -- (-1935.037) (-1927.556) [-1905.228] (-1933.594) * [-1910.581] (-1923.449) (-1914.962) (-1929.106) -- 0:06:09
303000 -- (-1917.385) (-1921.878) [-1912.592] (-1926.407) * (-1923.644) (-1923.698) [-1915.793] (-1939.359) -- 0:06:10
304000 -- (-1927.833) (-1926.667) [-1920.924] (-1917.826) * (-1913.411) (-1935.728) [-1909.294] (-1941.010) -- 0:06:08
305000 -- (-1945.869) (-1941.051) [-1928.258] (-1923.325) * (-1920.925) (-1937.198) [-1911.185] (-1918.715) -- 0:06:09
Average standard deviation of split frequencies: 0.013095
306000 -- (-1928.927) (-1927.673) [-1931.534] (-1911.383) * (-1925.090) (-1939.457) [-1914.079] (-1915.855) -- 0:06:07
307000 -- (-1932.351) (-1936.460) (-1922.930) [-1913.260] * (-1924.414) (-1928.129) [-1911.564] (-1915.182) -- 0:06:07
308000 -- (-1923.832) [-1920.295] (-1925.665) (-1925.226) * (-1925.000) (-1929.932) (-1927.188) [-1916.621] -- 0:06:06
309000 -- [-1919.193] (-1940.061) (-1926.082) (-1921.318) * (-1927.521) (-1929.223) (-1911.756) [-1911.532] -- 0:06:06
310000 -- (-1915.682) (-1925.599) (-1929.902) [-1908.101] * (-1930.241) (-1913.701) [-1911.555] (-1932.353) -- 0:06:07
Average standard deviation of split frequencies: 0.011409
311000 -- (-1921.114) (-1940.272) (-1919.935) [-1909.370] * (-1925.450) [-1922.783] (-1923.422) (-1915.124) -- 0:06:05
312000 -- (-1919.419) [-1923.013] (-1934.344) (-1922.405) * [-1917.024] (-1922.523) (-1927.658) (-1917.207) -- 0:06:06
313000 -- [-1917.151] (-1934.741) (-1921.243) (-1928.131) * (-1928.026) (-1910.029) [-1919.305] (-1920.723) -- 0:06:04
314000 -- (-1925.641) (-1923.007) (-1929.384) [-1925.878] * (-1930.848) (-1927.643) [-1923.605] (-1915.537) -- 0:06:04
315000 -- [-1916.708] (-1932.283) (-1939.132) (-1928.418) * (-1922.964) (-1928.484) (-1918.165) [-1916.853] -- 0:06:03
Average standard deviation of split frequencies: 0.011603
316000 -- (-1913.368) (-1936.382) (-1928.966) [-1922.644] * (-1924.024) [-1917.156] (-1929.858) (-1915.788) -- 0:06:03
317000 -- (-1926.517) (-1915.775) [-1912.682] (-1926.437) * [-1917.942] (-1929.555) (-1932.513) (-1920.277) -- 0:06:01
318000 -- (-1920.818) (-1924.047) (-1914.311) [-1906.812] * [-1911.384] (-1911.732) (-1941.080) (-1917.932) -- 0:06:02
319000 -- (-1913.861) [-1909.214] (-1917.393) (-1908.483) * [-1905.283] (-1904.816) (-1933.503) (-1924.991) -- 0:06:00
320000 -- (-1931.563) [-1921.120] (-1923.547) (-1929.375) * (-1914.781) [-1911.133] (-1930.606) (-1917.360) -- 0:06:01
Average standard deviation of split frequencies: 0.011421
321000 -- (-1912.516) [-1924.883] (-1938.852) (-1932.576) * [-1921.955] (-1923.524) (-1935.523) (-1916.699) -- 0:05:59
322000 -- (-1920.465) [-1919.420] (-1939.007) (-1918.824) * (-1927.184) (-1929.907) [-1917.886] (-1912.288) -- 0:06:00
323000 -- [-1913.077] (-1922.929) (-1937.581) (-1931.283) * [-1926.603] (-1940.560) (-1909.041) (-1931.786) -- 0:05:58
324000 -- [-1907.681] (-1930.539) (-1925.071) (-1925.476) * [-1917.581] (-1923.072) (-1928.007) (-1927.189) -- 0:05:58
325000 -- (-1930.909) [-1921.725] (-1911.810) (-1925.523) * (-1927.991) (-1927.090) (-1923.357) [-1911.051] -- 0:05:57
Average standard deviation of split frequencies: 0.011515
326000 -- [-1917.617] (-1917.810) (-1924.970) (-1932.928) * (-1933.024) [-1911.667] (-1929.088) (-1930.335) -- 0:05:57
327000 -- [-1919.872] (-1935.571) (-1915.302) (-1932.307) * (-1916.634) (-1914.985) [-1916.910] (-1935.563) -- 0:05:56
328000 -- (-1920.431) (-1920.000) [-1927.196] (-1930.374) * (-1919.261) (-1933.992) (-1928.256) [-1921.181] -- 0:05:56
329000 -- (-1929.546) (-1915.625) (-1933.657) [-1918.552] * [-1908.961] (-1932.305) (-1915.499) (-1915.431) -- 0:05:54
330000 -- (-1918.722) (-1913.426) [-1929.262] (-1921.660) * (-1913.027) (-1935.024) [-1916.547] (-1914.002) -- 0:05:55
Average standard deviation of split frequencies: 0.010930
331000 -- (-1930.657) [-1902.766] (-1933.162) (-1920.270) * (-1920.573) (-1927.848) (-1925.302) [-1910.824] -- 0:05:53
332000 -- (-1916.041) [-1921.635] (-1925.650) (-1921.094) * (-1927.768) (-1925.879) (-1938.317) [-1911.542] -- 0:05:54
333000 -- (-1919.073) [-1911.653] (-1927.070) (-1911.967) * (-1912.584) (-1921.698) (-1927.686) [-1922.495] -- 0:05:54
334000 -- (-1911.057) (-1914.258) (-1915.455) [-1925.631] * [-1908.803] (-1927.158) (-1936.223) (-1917.120) -- 0:05:52
335000 -- [-1914.790] (-1930.159) (-1926.904) (-1939.688) * (-1918.370) (-1934.852) [-1912.339] (-1914.840) -- 0:05:53
Average standard deviation of split frequencies: 0.010912
336000 -- (-1919.502) (-1938.102) [-1919.578] (-1938.471) * [-1914.220] (-1929.589) (-1914.110) (-1935.476) -- 0:05:51
337000 -- (-1905.790) (-1927.197) (-1922.883) [-1910.906] * (-1918.876) (-1930.112) (-1935.609) [-1915.880] -- 0:05:52
338000 -- (-1926.740) [-1916.232] (-1918.641) (-1932.370) * (-1918.952) [-1925.881] (-1929.158) (-1918.409) -- 0:05:50
339000 -- (-1933.134) (-1920.707) [-1921.690] (-1922.260) * (-1928.674) (-1930.415) (-1926.706) [-1920.155] -- 0:05:50
340000 -- (-1928.437) (-1936.011) [-1928.690] (-1933.634) * (-1924.396) (-1922.720) [-1909.782] (-1919.122) -- 0:05:49
Average standard deviation of split frequencies: 0.011634
341000 -- (-1926.602) (-1912.232) (-1921.263) [-1911.990] * (-1926.620) (-1921.791) (-1919.923) [-1912.894] -- 0:05:49
342000 -- (-1929.840) [-1914.133] (-1914.809) (-1949.546) * (-1916.977) (-1925.427) (-1938.164) [-1907.456] -- 0:05:48
343000 -- [-1913.779] (-1940.653) (-1913.907) (-1918.311) * (-1924.259) [-1914.768] (-1936.586) (-1912.929) -- 0:05:48
344000 -- (-1919.958) [-1911.128] (-1923.561) (-1928.984) * (-1925.557) [-1911.970] (-1946.260) (-1920.367) -- 0:05:47
345000 -- [-1910.125] (-1928.126) (-1939.099) (-1918.138) * (-1923.894) (-1933.346) [-1926.902] (-1922.894) -- 0:05:47
Average standard deviation of split frequencies: 0.011909
346000 -- [-1910.546] (-1938.434) (-1924.434) (-1932.019) * (-1925.143) (-1914.672) [-1908.985] (-1922.431) -- 0:05:45
347000 -- (-1907.713) [-1917.385] (-1920.733) (-1920.187) * (-1909.424) (-1913.690) [-1912.976] (-1915.265) -- 0:05:46
348000 -- (-1914.512) (-1920.702) [-1908.304] (-1917.902) * (-1938.811) [-1914.328] (-1910.992) (-1921.746) -- 0:05:44
349000 -- (-1931.936) (-1919.005) [-1918.075] (-1921.187) * (-1930.018) (-1935.824) (-1913.693) [-1909.062] -- 0:05:45
350000 -- (-1921.238) (-1921.761) [-1924.927] (-1915.077) * (-1922.794) (-1922.263) [-1909.754] (-1916.499) -- 0:05:43
Average standard deviation of split frequencies: 0.011949
351000 -- [-1912.773] (-1929.558) (-1928.060) (-1919.345) * [-1920.297] (-1931.530) (-1921.669) (-1915.462) -- 0:05:43
352000 -- [-1916.362] (-1937.567) (-1921.601) (-1913.496) * (-1927.608) (-1935.753) [-1916.145] (-1915.479) -- 0:05:44
353000 -- [-1915.111] (-1921.074) (-1935.819) (-1930.267) * (-1951.517) (-1925.309) [-1915.818] (-1923.977) -- 0:05:42
354000 -- [-1921.476] (-1930.352) (-1949.453) (-1937.275) * (-1936.024) (-1919.654) [-1915.255] (-1924.675) -- 0:05:43
355000 -- (-1929.735) [-1926.001] (-1920.908) (-1915.287) * (-1933.357) (-1916.472) (-1925.802) [-1914.404] -- 0:05:41
Average standard deviation of split frequencies: 0.012261
356000 -- [-1910.092] (-1926.339) (-1928.489) (-1930.147) * (-1934.249) (-1922.547) (-1928.230) [-1913.411] -- 0:05:41
357000 -- [-1924.890] (-1922.235) (-1918.391) (-1923.590) * (-1928.183) (-1937.334) (-1926.794) [-1908.641] -- 0:05:40
358000 -- (-1927.196) [-1909.460] (-1917.495) (-1939.156) * (-1926.256) (-1934.260) (-1920.637) [-1911.497] -- 0:05:40
359000 -- (-1921.889) (-1931.969) [-1914.869] (-1927.405) * (-1925.050) (-1941.073) [-1913.491] (-1929.758) -- 0:05:39
360000 -- (-1926.142) (-1929.200) (-1923.750) [-1924.297] * (-1927.145) (-1924.430) (-1934.339) [-1918.579] -- 0:05:39
Average standard deviation of split frequencies: 0.012054
361000 -- [-1915.798] (-1922.166) (-1923.288) (-1921.376) * (-1926.950) [-1913.965] (-1943.527) (-1922.868) -- 0:05:38
362000 -- (-1917.341) (-1906.782) (-1923.764) [-1916.216] * (-1917.431) [-1913.601] (-1935.125) (-1919.901) -- 0:05:38
363000 -- (-1921.997) (-1911.548) (-1929.663) [-1914.363] * (-1924.915) [-1907.996] (-1924.127) (-1907.759) -- 0:05:36
364000 -- (-1916.347) (-1921.958) (-1938.056) [-1911.087] * (-1919.961) [-1915.270] (-1933.196) (-1916.777) -- 0:05:37
365000 -- (-1912.788) (-1916.266) (-1939.236) [-1913.276] * [-1923.761] (-1931.179) (-1927.008) (-1919.238) -- 0:05:37
Average standard deviation of split frequencies: 0.012212
366000 -- (-1934.729) [-1916.087] (-1945.266) (-1918.718) * (-1928.558) (-1944.251) (-1931.759) [-1911.448] -- 0:05:36
367000 -- (-1918.137) (-1918.540) (-1943.748) [-1906.811] * (-1941.483) (-1923.711) (-1918.282) [-1919.382] -- 0:05:36
368000 -- (-1921.986) [-1919.106] (-1956.070) (-1916.727) * (-1920.459) [-1906.326] (-1936.666) (-1924.631) -- 0:05:34
369000 -- (-1927.077) [-1915.269] (-1931.913) (-1911.314) * (-1933.436) [-1921.062] (-1914.248) (-1927.768) -- 0:05:35
370000 -- (-1920.813) (-1919.048) (-1939.023) [-1910.555] * (-1947.684) [-1911.940] (-1928.493) (-1934.885) -- 0:05:33
Average standard deviation of split frequencies: 0.012247
371000 -- (-1913.001) (-1937.859) [-1918.555] (-1927.619) * (-1932.924) [-1923.634] (-1915.977) (-1922.696) -- 0:05:33
372000 -- (-1918.019) (-1921.928) [-1913.333] (-1919.679) * (-1915.547) (-1922.895) (-1913.468) [-1922.046] -- 0:05:32
373000 -- (-1931.879) (-1919.800) [-1914.079] (-1910.776) * (-1920.624) (-1941.871) [-1909.471] (-1924.928) -- 0:05:32
374000 -- (-1920.561) [-1914.545] (-1926.217) (-1926.768) * (-1917.166) [-1923.288] (-1917.382) (-1935.891) -- 0:05:31
375000 -- (-1926.612) (-1924.298) (-1910.940) [-1921.615] * (-1909.837) (-1924.758) [-1923.361] (-1932.623) -- 0:05:31
Average standard deviation of split frequencies: 0.012584
376000 -- (-1930.066) (-1913.501) (-1919.716) [-1918.839] * (-1914.127) (-1925.929) [-1909.648] (-1946.332) -- 0:05:30
377000 -- (-1938.344) [-1914.177] (-1911.765) (-1923.964) * (-1910.993) (-1920.034) [-1913.651] (-1950.209) -- 0:05:30
378000 -- (-1922.064) [-1913.534] (-1921.784) (-1924.360) * (-1923.483) (-1926.885) [-1922.263] (-1944.772) -- 0:05:30
379000 -- (-1924.839) (-1914.062) [-1916.835] (-1927.975) * (-1925.304) (-1933.950) (-1925.840) [-1940.410] -- 0:05:29
380000 -- (-1927.344) (-1922.686) [-1908.427] (-1913.081) * (-1915.904) (-1921.229) (-1922.480) [-1933.587] -- 0:05:29
Average standard deviation of split frequencies: 0.011479
381000 -- (-1921.912) (-1937.981) [-1910.447] (-1916.604) * (-1916.505) [-1913.545] (-1916.039) (-1942.027) -- 0:05:28
382000 -- (-1919.945) (-1924.325) (-1926.196) [-1906.271] * (-1926.222) (-1922.267) [-1910.541] (-1927.036) -- 0:05:28
383000 -- (-1934.832) (-1927.344) (-1913.089) [-1913.256] * (-1925.132) [-1918.466] (-1927.829) (-1935.001) -- 0:05:27
384000 -- (-1933.041) (-1928.852) (-1915.106) [-1913.795] * (-1933.855) [-1911.880] (-1911.597) (-1925.819) -- 0:05:27
385000 -- (-1917.245) (-1927.192) (-1927.260) [-1915.439] * [-1908.581] (-1919.202) (-1926.498) (-1926.625) -- 0:05:25
Average standard deviation of split frequencies: 0.012258
386000 -- [-1914.566] (-1925.197) (-1921.006) (-1920.246) * [-1917.038] (-1915.658) (-1930.022) (-1936.668) -- 0:05:26
387000 -- (-1912.429) (-1925.969) (-1937.035) [-1919.609] * [-1915.391] (-1920.563) (-1915.782) (-1942.696) -- 0:05:24
388000 -- (-1912.467) [-1914.370] (-1929.243) (-1917.119) * (-1911.054) (-1909.267) [-1922.630] (-1931.255) -- 0:05:24
389000 -- [-1911.207] (-1918.975) (-1929.194) (-1924.681) * (-1925.589) [-1925.754] (-1910.944) (-1936.296) -- 0:05:23
390000 -- (-1918.381) (-1916.125) (-1915.733) [-1920.134] * (-1921.942) (-1928.160) [-1920.563] (-1917.544) -- 0:05:23
Average standard deviation of split frequencies: 0.012826
391000 -- (-1922.902) (-1927.190) (-1939.338) [-1925.775] * [-1915.949] (-1926.183) (-1919.930) (-1903.789) -- 0:05:23
392000 -- [-1911.962] (-1922.529) (-1945.310) (-1920.734) * (-1934.878) (-1919.359) (-1914.625) [-1915.404] -- 0:05:22
393000 -- [-1912.011] (-1936.644) (-1944.508) (-1918.370) * (-1918.444) (-1949.530) (-1914.043) [-1912.992] -- 0:05:22
394000 -- (-1915.857) [-1918.609] (-1940.540) (-1925.718) * [-1911.523] (-1929.671) (-1918.575) (-1922.615) -- 0:05:21
395000 -- (-1915.525) (-1930.014) (-1934.507) [-1923.926] * (-1918.192) (-1923.200) [-1915.420] (-1921.587) -- 0:05:21
Average standard deviation of split frequencies: 0.012698
396000 -- (-1917.969) (-1923.967) (-1932.870) [-1910.642] * [-1918.253] (-1923.002) (-1922.634) (-1929.558) -- 0:05:20
397000 -- (-1931.976) [-1912.924] (-1946.912) (-1922.605) * [-1922.094] (-1922.935) (-1929.173) (-1924.626) -- 0:05:20
398000 -- (-1933.357) [-1918.201] (-1931.932) (-1922.865) * (-1931.940) [-1913.464] (-1927.842) (-1920.562) -- 0:05:19
399000 -- (-1920.734) (-1920.454) [-1916.541] (-1916.583) * (-1921.291) [-1912.675] (-1932.616) (-1923.617) -- 0:05:19
400000 -- (-1928.162) [-1912.225] (-1932.347) (-1924.178) * (-1924.331) (-1923.332) [-1920.856] (-1924.454) -- 0:05:18
Average standard deviation of split frequencies: 0.013291
401000 -- (-1936.350) [-1915.299] (-1930.747) (-1926.061) * (-1929.653) (-1942.539) [-1908.820] (-1918.186) -- 0:05:18
402000 -- [-1905.054] (-1909.806) (-1912.128) (-1927.951) * [-1927.451] (-1924.760) (-1928.738) (-1922.762) -- 0:05:16
403000 -- (-1909.183) (-1920.432) [-1918.486] (-1920.726) * (-1926.251) (-1923.949) (-1935.069) [-1914.871] -- 0:05:17
404000 -- (-1931.283) [-1922.976] (-1915.904) (-1928.239) * (-1911.407) (-1948.244) (-1915.654) [-1917.284] -- 0:05:17
405000 -- [-1922.392] (-1917.147) (-1938.108) (-1924.737) * (-1942.840) (-1920.398) (-1922.835) [-1913.490] -- 0:05:15
Average standard deviation of split frequencies: 0.013632
406000 -- (-1932.360) (-1920.157) (-1941.529) [-1919.634] * (-1926.300) (-1926.013) (-1950.726) [-1917.178] -- 0:05:16
407000 -- [-1923.840] (-1938.721) (-1941.463) (-1910.085) * (-1918.612) (-1928.996) (-1934.676) [-1912.143] -- 0:05:14
408000 -- [-1923.090] (-1926.872) (-1951.310) (-1915.795) * (-1916.549) [-1904.373] (-1918.193) (-1915.825) -- 0:05:14
409000 -- (-1925.271) [-1928.866] (-1963.326) (-1921.165) * (-1920.779) [-1925.066] (-1934.045) (-1927.428) -- 0:05:13
410000 -- (-1921.043) [-1915.645] (-1950.384) (-1909.258) * (-1916.573) (-1907.973) (-1923.530) [-1922.663] -- 0:05:13
Average standard deviation of split frequencies: 0.013817
411000 -- (-1944.779) (-1922.323) (-1928.868) [-1910.946] * (-1914.329) (-1925.448) (-1933.910) [-1910.440] -- 0:05:12
412000 -- (-1941.670) [-1922.235] (-1934.280) (-1922.935) * (-1916.270) (-1914.776) (-1940.311) [-1907.882] -- 0:05:12
413000 -- (-1920.776) (-1917.505) (-1919.789) [-1923.791] * (-1922.888) (-1915.287) [-1912.919] (-1919.861) -- 0:05:11
414000 -- (-1918.259) (-1936.846) (-1923.626) [-1917.204] * (-1923.486) [-1920.080] (-1932.194) (-1916.934) -- 0:05:11
415000 -- [-1912.089] (-1923.093) (-1915.458) (-1918.531) * (-1915.704) (-1919.000) [-1914.697] (-1922.823) -- 0:05:10
Average standard deviation of split frequencies: 0.014102
416000 -- [-1913.408] (-1955.816) (-1915.046) (-1917.308) * (-1917.030) [-1911.537] (-1924.330) (-1940.856) -- 0:05:10
417000 -- (-1921.174) (-1917.668) (-1940.589) [-1918.396] * (-1920.982) (-1921.176) [-1913.706] (-1916.010) -- 0:05:08
418000 -- (-1925.784) [-1917.514] (-1925.459) (-1918.752) * (-1915.769) (-1927.631) [-1909.214] (-1919.158) -- 0:05:09
419000 -- [-1914.811] (-1927.061) (-1931.565) (-1921.440) * (-1916.997) (-1923.892) [-1917.796] (-1922.816) -- 0:05:09
420000 -- (-1923.514) [-1918.638] (-1918.716) (-1922.077) * (-1929.063) (-1922.604) [-1924.293] (-1924.564) -- 0:05:07
Average standard deviation of split frequencies: 0.013572
421000 -- (-1926.325) (-1929.067) [-1917.933] (-1916.872) * (-1923.044) (-1921.201) [-1917.907] (-1918.072) -- 0:05:08
422000 -- (-1918.333) (-1920.773) (-1936.345) [-1923.117] * (-1920.835) (-1922.969) (-1925.145) [-1911.563] -- 0:05:06
423000 -- [-1921.300] (-1933.812) (-1915.101) (-1915.263) * (-1933.372) (-1909.976) (-1923.256) [-1926.809] -- 0:05:06
424000 -- (-1922.979) [-1917.780] (-1931.510) (-1929.706) * [-1916.972] (-1917.853) (-1945.299) (-1923.809) -- 0:05:05
425000 -- (-1929.780) [-1924.254] (-1912.632) (-1934.175) * (-1944.226) [-1917.550] (-1920.692) (-1915.857) -- 0:05:05
Average standard deviation of split frequencies: 0.012500
426000 -- (-1915.620) (-1927.621) [-1913.024] (-1934.482) * (-1924.140) [-1909.488] (-1925.877) (-1925.658) -- 0:05:04
427000 -- (-1919.934) (-1930.988) [-1911.056] (-1945.646) * [-1907.386] (-1919.719) (-1937.515) (-1932.972) -- 0:05:04
428000 -- (-1915.926) (-1950.496) [-1910.599] (-1929.116) * (-1927.933) (-1920.673) [-1922.945] (-1936.278) -- 0:05:03
429000 -- [-1914.685] (-1920.613) (-1919.962) (-1924.271) * (-1918.371) (-1927.723) [-1916.584] (-1919.799) -- 0:05:03
430000 -- (-1934.709) (-1932.424) (-1916.387) [-1906.498] * (-1921.110) (-1920.103) (-1932.048) [-1921.840] -- 0:05:02
Average standard deviation of split frequencies: 0.012649
431000 -- (-1930.325) [-1914.810] (-1924.983) (-1923.614) * (-1942.397) [-1913.405] (-1926.760) (-1923.148) -- 0:05:02
432000 -- (-1926.244) (-1916.519) [-1926.161] (-1936.406) * (-1919.216) (-1933.686) [-1913.464] (-1921.996) -- 0:05:01
433000 -- (-1931.842) (-1914.104) (-1918.982) [-1914.837] * (-1941.510) (-1916.456) [-1915.675] (-1921.181) -- 0:05:01
434000 -- (-1928.509) [-1920.146] (-1923.161) (-1921.692) * (-1938.300) (-1904.963) (-1915.144) [-1917.482] -- 0:04:59
435000 -- (-1927.167) [-1923.802] (-1925.278) (-1924.024) * (-1922.619) (-1911.001) (-1923.027) [-1922.023] -- 0:05:00
Average standard deviation of split frequencies: 0.012053
436000 -- [-1916.662] (-1935.471) (-1920.342) (-1915.984) * (-1934.517) [-1922.492] (-1925.433) (-1922.712) -- 0:04:58
437000 -- [-1916.318] (-1924.324) (-1917.243) (-1916.486) * (-1937.722) [-1915.895] (-1927.560) (-1915.328) -- 0:04:58
438000 -- [-1916.180] (-1935.509) (-1917.800) (-1917.845) * (-1924.295) (-1925.982) [-1918.670] (-1912.771) -- 0:04:58
439000 -- [-1910.495] (-1924.034) (-1915.859) (-1923.705) * (-1927.483) (-1915.942) (-1933.789) [-1909.255] -- 0:04:57
440000 -- [-1911.506] (-1925.118) (-1922.838) (-1920.439) * (-1931.783) (-1933.073) (-1930.293) [-1908.430] -- 0:04:57
Average standard deviation of split frequencies: 0.012639
441000 -- [-1909.158] (-1922.086) (-1925.424) (-1922.155) * [-1915.476] (-1938.803) (-1917.348) (-1913.359) -- 0:04:56
442000 -- (-1931.153) [-1906.036] (-1936.874) (-1940.272) * (-1920.668) (-1930.065) [-1915.994] (-1916.656) -- 0:04:56
443000 -- [-1916.138] (-1915.240) (-1939.891) (-1932.150) * (-1929.531) (-1936.127) [-1913.060] (-1937.253) -- 0:04:55
444000 -- (-1914.538) (-1933.501) (-1942.181) [-1914.240] * (-1923.791) (-1926.422) [-1911.759] (-1932.679) -- 0:04:55
445000 -- (-1924.352) (-1924.623) (-1924.416) [-1921.136] * [-1924.799] (-1939.826) (-1912.523) (-1919.331) -- 0:04:54
Average standard deviation of split frequencies: 0.012527
446000 -- (-1919.718) (-1923.793) (-1950.752) [-1915.889] * (-1922.965) [-1905.845] (-1927.646) (-1916.299) -- 0:04:54
447000 -- (-1925.775) [-1913.876] (-1930.112) (-1920.989) * [-1923.419] (-1917.257) (-1930.501) (-1929.863) -- 0:04:53
448000 -- (-1931.493) [-1911.237] (-1937.464) (-1916.762) * (-1919.510) [-1923.503] (-1920.364) (-1922.587) -- 0:04:53
449000 -- (-1921.041) (-1917.662) [-1912.661] (-1920.002) * [-1909.461] (-1925.513) (-1920.098) (-1920.728) -- 0:04:52
450000 -- (-1929.299) (-1925.114) (-1916.791) [-1914.070] * (-1912.790) (-1913.370) (-1907.152) [-1913.619] -- 0:04:52
Average standard deviation of split frequencies: 0.012702
451000 -- (-1928.426) (-1924.223) (-1915.902) [-1915.060] * (-1916.035) (-1923.584) [-1909.324] (-1928.632) -- 0:04:50
452000 -- (-1924.569) (-1930.620) (-1927.149) [-1916.328] * [-1918.297] (-1919.616) (-1916.967) (-1954.697) -- 0:04:50
453000 -- [-1915.387] (-1937.792) (-1933.089) (-1921.266) * [-1914.664] (-1932.318) (-1926.236) (-1942.325) -- 0:04:49
454000 -- (-1913.866) [-1922.767] (-1938.294) (-1925.918) * (-1926.072) (-1922.424) [-1914.047] (-1916.836) -- 0:04:49
455000 -- (-1918.266) (-1927.200) [-1920.669] (-1910.143) * [-1913.432] (-1919.181) (-1917.296) (-1927.626) -- 0:04:48
Average standard deviation of split frequencies: 0.011831
456000 -- (-1926.209) [-1918.248] (-1935.554) (-1931.570) * [-1911.007] (-1924.080) (-1924.911) (-1928.528) -- 0:04:48
457000 -- (-1920.751) (-1918.328) [-1914.913] (-1931.999) * [-1917.690] (-1921.294) (-1931.083) (-1920.452) -- 0:04:47
458000 -- [-1925.051] (-1912.660) (-1916.097) (-1932.539) * [-1908.890] (-1923.739) (-1923.124) (-1926.982) -- 0:04:47
459000 -- (-1924.184) [-1915.108] (-1921.674) (-1929.200) * (-1914.324) [-1921.239] (-1921.948) (-1927.117) -- 0:04:47
460000 -- [-1917.056] (-1923.754) (-1917.708) (-1929.955) * [-1912.914] (-1939.555) (-1916.589) (-1946.464) -- 0:04:46
Average standard deviation of split frequencies: 0.012469
461000 -- (-1915.472) (-1939.762) (-1918.423) [-1915.844] * (-1928.787) (-1927.197) (-1924.839) [-1920.759] -- 0:04:46
462000 -- [-1912.972] (-1924.632) (-1927.974) (-1920.393) * [-1912.548] (-1916.460) (-1917.048) (-1916.079) -- 0:04:45
463000 -- (-1911.695) (-1928.868) (-1941.356) [-1923.592] * (-1924.034) [-1917.985] (-1913.721) (-1927.621) -- 0:04:45
464000 -- (-1925.055) (-1932.833) (-1933.317) [-1922.031] * (-1927.698) (-1922.773) (-1912.444) [-1912.450] -- 0:04:44
465000 -- (-1917.411) (-1935.507) (-1936.043) [-1917.260] * (-1936.330) (-1921.826) [-1923.853] (-1916.771) -- 0:04:44
Average standard deviation of split frequencies: 0.012027
466000 -- (-1948.735) (-1929.953) [-1918.186] (-1912.320) * (-1922.929) (-1930.192) (-1915.599) [-1915.405] -- 0:04:43
467000 -- (-1932.643) [-1919.607] (-1923.680) (-1923.237) * (-1920.226) (-1927.322) (-1929.093) [-1913.244] -- 0:04:43
468000 -- (-1938.212) (-1912.313) [-1905.602] (-1918.237) * (-1928.038) (-1925.938) (-1935.408) [-1918.612] -- 0:04:41
469000 -- (-1932.911) (-1927.951) (-1914.572) [-1932.110] * [-1918.147] (-1922.061) (-1916.713) (-1911.429) -- 0:04:41
470000 -- (-1924.705) [-1920.671] (-1929.763) (-1922.246) * (-1928.311) (-1925.679) (-1927.262) [-1918.677] -- 0:04:40
Average standard deviation of split frequencies: 0.012019
471000 -- (-1932.872) (-1917.772) [-1919.463] (-1929.610) * (-1914.310) (-1921.144) (-1937.490) [-1926.328] -- 0:04:40
472000 -- (-1908.301) (-1931.877) [-1914.290] (-1930.482) * [-1914.829] (-1923.299) (-1924.212) (-1924.036) -- 0:04:39
473000 -- (-1914.901) [-1923.753] (-1926.043) (-1938.068) * (-1920.187) (-1921.211) (-1942.168) [-1919.388] -- 0:04:39
474000 -- (-1923.914) [-1922.534] (-1913.887) (-1930.807) * (-1925.481) (-1921.549) (-1928.785) [-1913.376] -- 0:04:38
475000 -- (-1911.425) (-1937.336) [-1913.535] (-1924.085) * (-1925.919) (-1919.182) (-1924.789) [-1908.716] -- 0:04:38
Average standard deviation of split frequencies: 0.011921
476000 -- (-1923.154) (-1927.544) (-1943.076) [-1917.970] * [-1914.230] (-1942.870) (-1920.585) (-1928.466) -- 0:04:37
477000 -- (-1937.283) [-1912.267] (-1922.457) (-1920.089) * [-1916.102] (-1924.614) (-1920.446) (-1919.329) -- 0:04:37
478000 -- (-1930.160) [-1912.715] (-1923.263) (-1925.697) * (-1936.165) (-1929.720) (-1905.158) [-1913.037] -- 0:04:36
479000 -- (-1926.567) (-1909.890) [-1911.408] (-1938.866) * (-1916.626) (-1931.429) (-1915.377) [-1910.102] -- 0:04:36
480000 -- (-1929.752) [-1913.532] (-1914.462) (-1938.211) * (-1912.370) (-1939.070) (-1921.972) [-1916.688] -- 0:04:36
Average standard deviation of split frequencies: 0.011260
481000 -- (-1913.431) (-1928.852) (-1920.272) [-1920.309] * (-1924.382) [-1916.947] (-1922.923) (-1910.882) -- 0:04:35
482000 -- [-1909.402] (-1927.636) (-1915.800) (-1914.137) * (-1921.824) [-1910.144] (-1924.571) (-1912.271) -- 0:04:35
483000 -- [-1921.261] (-1927.939) (-1923.873) (-1910.621) * (-1925.763) (-1913.584) [-1924.971] (-1936.299) -- 0:04:34
484000 -- [-1915.137] (-1915.957) (-1912.389) (-1911.735) * (-1918.756) [-1919.401] (-1924.241) (-1918.325) -- 0:04:33
485000 -- (-1923.667) (-1921.750) [-1915.401] (-1913.064) * (-1939.210) [-1915.041] (-1918.875) (-1919.980) -- 0:04:32
Average standard deviation of split frequencies: 0.011244
486000 -- (-1910.233) (-1918.224) (-1913.558) [-1913.535] * (-1933.357) [-1918.537] (-1925.916) (-1915.788) -- 0:04:32
487000 -- (-1933.380) (-1913.225) (-1916.421) [-1909.686] * (-1924.725) (-1919.923) (-1913.790) [-1918.098] -- 0:04:31
488000 -- (-1931.711) (-1931.259) (-1925.416) [-1916.190] * (-1928.402) [-1917.925] (-1913.306) (-1932.209) -- 0:04:31
489000 -- (-1935.165) (-1920.077) (-1925.444) [-1909.114] * [-1921.921] (-1927.142) (-1914.050) (-1939.287) -- 0:04:30
490000 -- (-1933.125) [-1909.226] (-1918.537) (-1910.096) * [-1924.654] (-1918.993) (-1910.940) (-1924.231) -- 0:04:30
Average standard deviation of split frequencies: 0.010679
491000 -- (-1931.129) [-1909.841] (-1927.782) (-1917.408) * [-1918.090] (-1913.079) (-1911.277) (-1932.376) -- 0:04:29
492000 -- (-1935.860) (-1921.295) (-1929.774) [-1910.873] * [-1910.546] (-1912.117) (-1918.316) (-1931.468) -- 0:04:29
493000 -- (-1940.967) (-1928.691) (-1926.795) [-1919.966] * (-1922.621) [-1914.193] (-1941.227) (-1927.680) -- 0:04:29
494000 -- (-1918.532) (-1938.046) (-1920.448) [-1923.580] * (-1918.945) (-1919.842) [-1920.987] (-1939.915) -- 0:04:28
495000 -- (-1918.361) (-1925.157) [-1909.495] (-1919.237) * (-1932.828) (-1908.072) [-1921.363] (-1931.405) -- 0:04:28
Average standard deviation of split frequencies: 0.010491
496000 -- (-1933.946) (-1926.664) (-1925.451) [-1913.418] * (-1937.075) [-1905.098] (-1912.867) (-1926.746) -- 0:04:27
497000 -- (-1908.549) [-1916.036] (-1933.163) (-1920.239) * (-1945.768) (-1915.756) [-1921.854] (-1931.395) -- 0:04:27
498000 -- (-1919.726) [-1914.432] (-1916.517) (-1921.409) * (-1927.798) [-1923.104] (-1935.723) (-1936.199) -- 0:04:26
499000 -- (-1936.954) (-1934.998) [-1917.233] (-1920.463) * [-1920.971] (-1931.220) (-1927.056) (-1925.691) -- 0:04:26
500000 -- [-1921.863] (-1941.558) (-1924.004) (-1926.557) * [-1913.496] (-1934.861) (-1932.313) (-1932.083) -- 0:04:25
Average standard deviation of split frequencies: 0.010566
501000 -- (-1921.434) (-1940.227) [-1924.073] (-1919.899) * (-1921.830) [-1918.079] (-1922.594) (-1921.164) -- 0:04:24
502000 -- [-1916.596] (-1923.077) (-1914.259) (-1929.879) * [-1915.041] (-1916.374) (-1946.095) (-1918.441) -- 0:04:23
503000 -- (-1945.479) [-1920.717] (-1925.446) (-1922.229) * (-1912.628) [-1918.907] (-1933.108) (-1916.001) -- 0:04:23
504000 -- (-1935.263) [-1912.760] (-1923.787) (-1923.036) * (-1933.902) [-1909.990] (-1927.675) (-1934.784) -- 0:04:22
505000 -- (-1927.483) [-1914.982] (-1918.032) (-1943.758) * (-1928.779) (-1920.774) (-1942.211) [-1921.009] -- 0:04:22
Average standard deviation of split frequencies: 0.010731
506000 -- [-1926.015] (-1930.392) (-1929.182) (-1927.538) * (-1933.372) [-1909.511] (-1936.038) (-1909.794) -- 0:04:21
507000 -- (-1912.687) (-1924.526) (-1934.075) [-1914.977] * (-1922.969) (-1922.782) (-1926.364) [-1909.572] -- 0:04:21
508000 -- [-1917.090] (-1922.914) (-1916.924) (-1924.495) * (-1936.558) (-1916.299) (-1924.027) [-1904.715] -- 0:04:20
509000 -- (-1920.427) (-1918.854) (-1928.249) [-1921.588] * (-1929.059) (-1920.870) (-1947.427) [-1908.060] -- 0:04:20
510000 -- [-1916.532] (-1924.519) (-1929.744) (-1928.061) * (-1920.490) (-1922.844) (-1935.466) [-1913.655] -- 0:04:20
Average standard deviation of split frequencies: 0.011009
511000 -- [-1912.546] (-1918.812) (-1932.584) (-1929.272) * (-1922.073) (-1921.197) (-1930.222) [-1912.379] -- 0:04:19
512000 -- (-1929.089) (-1924.423) [-1907.104] (-1941.689) * (-1914.576) (-1925.480) (-1932.121) [-1915.908] -- 0:04:19
513000 -- (-1945.247) [-1917.557] (-1919.157) (-1925.444) * [-1912.222] (-1913.095) (-1927.731) (-1929.979) -- 0:04:18
514000 -- (-1929.206) [-1915.727] (-1912.253) (-1920.282) * [-1912.346] (-1922.622) (-1935.992) (-1922.914) -- 0:04:18
515000 -- (-1926.397) (-1919.735) [-1915.029] (-1941.569) * [-1912.958] (-1916.966) (-1937.125) (-1931.777) -- 0:04:17
Average standard deviation of split frequencies: 0.010929
516000 -- (-1927.656) (-1919.426) [-1916.206] (-1933.622) * (-1918.906) [-1920.823] (-1929.252) (-1917.509) -- 0:04:17
517000 -- (-1926.016) (-1932.815) [-1917.905] (-1947.921) * (-1925.976) (-1913.506) (-1938.905) [-1910.137] -- 0:04:15
518000 -- (-1915.938) (-1916.973) [-1925.606] (-1927.725) * (-1933.940) (-1913.226) [-1925.376] (-1922.301) -- 0:04:15
519000 -- [-1920.614] (-1924.174) (-1921.983) (-1934.001) * (-1938.381) (-1929.455) (-1914.819) [-1908.592] -- 0:04:14
520000 -- (-1917.298) (-1912.598) [-1913.079] (-1934.381) * (-1930.575) [-1907.315] (-1929.905) (-1914.429) -- 0:04:14
Average standard deviation of split frequencies: 0.010865
521000 -- (-1930.571) (-1919.186) [-1919.452] (-1934.347) * (-1921.544) (-1915.124) [-1917.581] (-1921.028) -- 0:04:13
522000 -- (-1921.060) [-1908.313] (-1923.712) (-1940.549) * (-1924.210) (-1925.930) [-1911.516] (-1917.273) -- 0:04:13
523000 -- [-1918.077] (-1925.889) (-1940.066) (-1919.917) * [-1907.380] (-1941.080) (-1925.029) (-1914.368) -- 0:04:12
524000 -- (-1918.752) (-1918.752) (-1910.007) [-1923.363] * (-1920.388) (-1930.443) (-1916.705) [-1917.917] -- 0:04:12
525000 -- (-1927.913) [-1918.549] (-1910.732) (-1917.683) * (-1913.147) [-1916.128] (-1914.652) (-1924.400) -- 0:04:11
Average standard deviation of split frequencies: 0.011053
526000 -- (-1926.392) (-1921.283) (-1910.719) [-1923.482] * [-1915.481] (-1916.788) (-1939.533) (-1940.632) -- 0:04:11
527000 -- [-1920.707] (-1924.908) (-1926.661) (-1916.530) * (-1932.985) (-1929.980) [-1916.031] (-1922.327) -- 0:04:11
528000 -- (-1922.509) [-1916.586] (-1932.474) (-1924.637) * (-1913.595) (-1932.178) [-1917.532] (-1916.094) -- 0:04:10
529000 -- [-1905.319] (-1920.950) (-1921.339) (-1934.413) * (-1930.175) (-1920.908) [-1911.427] (-1916.666) -- 0:04:10
530000 -- [-1910.367] (-1920.517) (-1925.333) (-1918.290) * (-1920.368) [-1917.882] (-1917.882) (-1916.283) -- 0:04:09
Average standard deviation of split frequencies: 0.011055
531000 -- (-1904.703) [-1911.492] (-1955.261) (-1924.714) * (-1930.841) (-1914.569) [-1911.790] (-1925.519) -- 0:04:09
532000 -- (-1924.769) (-1934.960) (-1933.375) [-1919.743] * (-1922.056) (-1914.418) [-1914.858] (-1925.249) -- 0:04:08
533000 -- [-1912.224] (-1930.871) (-1919.091) (-1928.800) * (-1923.453) (-1906.904) [-1910.102] (-1925.726) -- 0:04:07
534000 -- [-1925.265] (-1927.621) (-1910.484) (-1924.456) * (-1925.760) [-1913.884] (-1913.501) (-1921.178) -- 0:04:06
535000 -- [-1913.403] (-1919.822) (-1922.000) (-1922.067) * (-1922.535) [-1915.475] (-1929.975) (-1920.393) -- 0:04:06
Average standard deviation of split frequencies: 0.011173
536000 -- (-1912.312) (-1921.439) (-1918.282) [-1918.178] * (-1915.803) (-1915.708) [-1924.475] (-1931.214) -- 0:04:05
537000 -- [-1916.472] (-1940.889) (-1915.106) (-1925.626) * (-1927.895) [-1914.152] (-1929.541) (-1924.885) -- 0:04:05
538000 -- (-1915.116) (-1931.953) [-1910.111] (-1926.159) * (-1938.237) [-1909.182] (-1915.021) (-1914.515) -- 0:04:04
539000 -- (-1909.972) (-1943.446) [-1921.506] (-1917.540) * (-1954.987) (-1930.158) [-1918.201] (-1925.193) -- 0:04:04
540000 -- [-1912.014] (-1919.906) (-1920.740) (-1939.101) * (-1930.320) (-1910.131) [-1910.817] (-1924.768) -- 0:04:03
Average standard deviation of split frequencies: 0.011625
541000 -- [-1910.793] (-1915.288) (-1918.059) (-1927.241) * (-1919.358) (-1919.384) [-1913.144] (-1922.187) -- 0:04:03
542000 -- [-1910.420] (-1923.970) (-1936.123) (-1926.706) * [-1918.826] (-1942.022) (-1909.421) (-1929.268) -- 0:04:03
543000 -- (-1923.922) [-1917.027] (-1923.528) (-1934.574) * (-1927.217) (-1932.496) (-1912.252) [-1924.305] -- 0:04:02
544000 -- [-1911.436] (-1924.413) (-1932.506) (-1920.268) * (-1915.982) (-1924.332) (-1921.296) [-1919.644] -- 0:04:02
545000 -- (-1933.292) (-1918.273) (-1932.819) [-1914.898] * (-1942.404) (-1923.662) [-1903.327] (-1927.168) -- 0:04:01
Average standard deviation of split frequencies: 0.011286
546000 -- (-1917.425) (-1909.451) (-1930.952) [-1915.042] * (-1920.063) [-1921.806] (-1915.880) (-1927.559) -- 0:04:01
547000 -- (-1942.203) (-1916.648) (-1919.239) [-1914.350] * (-1923.556) (-1919.125) [-1906.918] (-1925.986) -- 0:04:00
548000 -- (-1921.542) (-1917.592) [-1911.185] (-1921.930) * (-1921.976) [-1913.720] (-1926.228) (-1913.798) -- 0:04:00
549000 -- (-1929.760) [-1911.279] (-1919.055) (-1924.544) * [-1917.403] (-1933.046) (-1918.541) (-1934.395) -- 0:03:59
550000 -- (-1933.188) [-1920.642] (-1929.486) (-1915.287) * (-1914.588) (-1928.218) [-1919.638] (-1922.927) -- 0:03:58
Average standard deviation of split frequencies: 0.011649
551000 -- (-1925.716) [-1922.789] (-1927.958) (-1922.764) * (-1920.563) (-1932.593) (-1912.326) [-1908.888] -- 0:03:57
552000 -- [-1911.426] (-1921.353) (-1932.146) (-1919.125) * (-1928.839) [-1911.547] (-1913.354) (-1918.468) -- 0:03:57
553000 -- [-1918.300] (-1921.516) (-1949.234) (-1923.167) * (-1931.644) (-1917.299) (-1927.088) [-1913.769] -- 0:03:56
554000 -- [-1918.325] (-1921.555) (-1927.389) (-1915.875) * (-1922.106) (-1907.532) (-1935.495) [-1912.133] -- 0:03:56
555000 -- (-1925.349) [-1911.211] (-1945.642) (-1914.465) * (-1932.278) [-1917.225] (-1922.757) (-1912.796) -- 0:03:55
Average standard deviation of split frequencies: 0.011234
556000 -- (-1924.476) (-1935.860) [-1919.211] (-1913.206) * (-1920.389) (-1911.016) (-1930.902) [-1908.274] -- 0:03:55
557000 -- (-1935.398) [-1917.585] (-1943.668) (-1916.122) * [-1909.139] (-1915.092) (-1911.815) (-1920.641) -- 0:03:54
558000 -- (-1931.799) (-1925.213) [-1924.980] (-1914.890) * [-1912.044] (-1928.920) (-1935.898) (-1932.896) -- 0:03:54
559000 -- (-1937.168) [-1912.393] (-1918.280) (-1926.199) * [-1912.605] (-1921.609) (-1929.906) (-1921.410) -- 0:03:53
560000 -- (-1934.584) (-1918.201) (-1911.067) [-1910.423] * (-1916.452) (-1924.285) (-1927.259) [-1911.342] -- 0:03:53
Average standard deviation of split frequencies: 0.011351
561000 -- (-1936.092) (-1925.181) (-1924.490) [-1916.196] * [-1912.239] (-1924.497) (-1919.280) (-1932.665) -- 0:03:53
562000 -- (-1934.710) [-1919.674] (-1914.860) (-1923.192) * (-1906.289) [-1917.388] (-1916.393) (-1928.195) -- 0:03:52
563000 -- (-1932.717) (-1929.798) (-1916.498) [-1915.734] * [-1913.295] (-1916.740) (-1928.481) (-1929.201) -- 0:03:52
564000 -- (-1935.778) (-1929.432) (-1917.316) [-1909.110] * [-1914.072] (-1931.170) (-1927.668) (-1920.290) -- 0:03:51
565000 -- (-1932.105) (-1926.294) (-1933.449) [-1916.142] * (-1925.283) [-1921.512] (-1921.270) (-1926.863) -- 0:03:50
Average standard deviation of split frequencies: 0.011482
566000 -- (-1923.581) (-1911.715) (-1924.244) [-1911.571] * (-1917.571) [-1917.522] (-1915.381) (-1916.469) -- 0:03:50
567000 -- (-1925.257) (-1916.447) (-1924.263) [-1910.423] * (-1926.666) (-1925.884) (-1927.632) [-1922.640] -- 0:03:49
568000 -- [-1912.745] (-1933.998) (-1936.729) (-1919.852) * (-1927.953) [-1925.300] (-1917.036) (-1923.764) -- 0:03:48
569000 -- (-1926.445) (-1932.240) [-1924.829] (-1921.644) * (-1928.118) (-1919.887) [-1915.306] (-1917.977) -- 0:03:48
570000 -- (-1922.234) (-1912.359) (-1930.106) [-1919.962] * (-1931.636) (-1913.500) (-1926.017) [-1912.926] -- 0:03:47
Average standard deviation of split frequencies: 0.011506
571000 -- (-1927.666) (-1914.990) (-1923.789) [-1906.714] * (-1924.738) (-1916.726) [-1921.058] (-1920.409) -- 0:03:47
572000 -- (-1940.887) [-1915.914] (-1922.461) (-1917.231) * (-1925.925) [-1910.443] (-1932.976) (-1937.892) -- 0:03:46
573000 -- (-1926.760) [-1911.996] (-1920.465) (-1928.537) * [-1921.267] (-1942.217) (-1934.062) (-1920.207) -- 0:03:46
574000 -- (-1922.955) [-1909.511] (-1927.052) (-1914.057) * (-1915.805) (-1945.918) (-1919.397) [-1912.683] -- 0:03:45
575000 -- (-1926.309) (-1925.841) (-1923.892) [-1914.704] * (-1929.663) (-1936.455) [-1905.252] (-1921.283) -- 0:03:45
Average standard deviation of split frequencies: 0.011078
576000 -- (-1916.230) (-1917.365) (-1945.898) [-1919.501] * [-1914.897] (-1927.088) (-1919.173) (-1928.469) -- 0:03:44
577000 -- (-1914.119) (-1919.502) [-1913.351] (-1918.258) * (-1926.949) [-1916.236] (-1918.574) (-1939.979) -- 0:03:44
578000 -- [-1909.457] (-1913.580) (-1935.946) (-1921.194) * (-1915.150) (-1930.939) (-1932.021) [-1922.740] -- 0:03:43
579000 -- (-1930.797) [-1914.910] (-1927.699) (-1916.599) * (-1919.025) (-1922.337) (-1934.654) [-1922.339] -- 0:03:43
580000 -- (-1923.767) (-1917.584) (-1921.152) [-1912.838] * [-1914.333] (-1915.030) (-1937.883) (-1915.303) -- 0:03:43
Average standard deviation of split frequencies: 0.011134
581000 -- (-1930.162) (-1926.925) [-1912.461] (-1923.341) * (-1923.663) (-1926.205) (-1917.793) [-1913.571] -- 0:03:42
582000 -- (-1918.254) (-1922.297) (-1928.692) [-1919.711] * (-1915.811) (-1930.460) (-1912.088) [-1917.178] -- 0:03:41
583000 -- [-1916.412] (-1923.122) (-1928.617) (-1925.538) * (-1924.497) (-1924.527) [-1925.294] (-1930.369) -- 0:03:41
584000 -- [-1912.462] (-1921.916) (-1940.601) (-1926.141) * (-1914.690) (-1931.818) (-1922.484) [-1925.320] -- 0:03:40
585000 -- (-1918.522) (-1919.939) [-1916.828] (-1932.627) * (-1907.527) (-1918.814) (-1933.034) [-1918.354] -- 0:03:39
Average standard deviation of split frequencies: 0.011348
586000 -- [-1913.635] (-1915.278) (-1914.443) (-1915.738) * [-1914.941] (-1921.134) (-1934.441) (-1913.817) -- 0:03:39
587000 -- [-1914.687] (-1925.642) (-1912.502) (-1924.335) * [-1917.743] (-1918.689) (-1921.175) (-1932.931) -- 0:03:38
588000 -- (-1915.281) [-1910.626] (-1908.349) (-1922.637) * (-1910.478) [-1916.753] (-1922.158) (-1927.427) -- 0:03:38
589000 -- (-1914.017) [-1916.635] (-1932.527) (-1937.700) * (-1915.720) [-1909.735] (-1950.563) (-1926.209) -- 0:03:37
590000 -- [-1925.683] (-1911.940) (-1940.985) (-1941.404) * (-1909.439) [-1915.211] (-1932.912) (-1923.006) -- 0:03:37
Average standard deviation of split frequencies: 0.011515
591000 -- (-1926.706) [-1910.643] (-1920.315) (-1937.475) * (-1918.399) [-1912.601] (-1938.895) (-1919.334) -- 0:03:36
592000 -- (-1918.796) (-1928.758) [-1915.923] (-1935.221) * (-1937.320) [-1915.839] (-1937.181) (-1919.998) -- 0:03:36
593000 -- (-1927.529) (-1920.343) [-1914.770] (-1923.741) * (-1929.489) (-1936.897) [-1917.779] (-1921.672) -- 0:03:35
594000 -- (-1925.765) [-1927.699] (-1915.087) (-1944.691) * [-1918.792] (-1921.802) (-1921.240) (-1931.370) -- 0:03:35
595000 -- (-1912.508) (-1931.146) [-1904.967] (-1924.870) * (-1913.971) (-1939.143) [-1926.356] (-1925.617) -- 0:03:34
Average standard deviation of split frequencies: 0.011158
596000 -- (-1935.114) [-1918.059] (-1925.122) (-1922.010) * [-1915.453] (-1930.589) (-1912.797) (-1930.245) -- 0:03:34
597000 -- (-1926.677) (-1923.150) [-1918.124] (-1920.489) * [-1909.508] (-1924.910) (-1920.645) (-1946.214) -- 0:03:33
598000 -- (-1921.290) (-1922.279) (-1928.607) [-1916.828] * (-1916.284) (-1939.955) [-1912.214] (-1920.459) -- 0:03:33
599000 -- (-1926.689) (-1914.993) (-1917.828) [-1910.516] * [-1912.031] (-1913.706) (-1918.666) (-1928.972) -- 0:03:32
600000 -- (-1929.036) [-1910.089] (-1926.192) (-1914.865) * [-1918.759] (-1926.585) (-1923.886) (-1934.182) -- 0:03:32
Average standard deviation of split frequencies: 0.011015
601000 -- (-1927.542) [-1908.046] (-1916.776) (-1923.419) * (-1924.389) (-1935.449) (-1949.095) [-1915.438] -- 0:03:31
602000 -- (-1922.239) (-1930.823) [-1909.196] (-1915.027) * [-1918.315] (-1918.961) (-1937.279) (-1923.510) -- 0:03:30
603000 -- (-1926.596) (-1927.071) (-1906.442) [-1917.624] * [-1916.103] (-1925.752) (-1920.454) (-1917.860) -- 0:03:30
604000 -- (-1916.925) (-1916.893) [-1921.810] (-1923.535) * [-1910.944] (-1934.349) (-1917.974) (-1920.854) -- 0:03:29
605000 -- [-1913.381] (-1935.557) (-1915.337) (-1921.801) * (-1924.782) (-1932.974) [-1917.848] (-1926.307) -- 0:03:29
Average standard deviation of split frequencies: 0.010891
606000 -- (-1925.273) (-1929.629) [-1911.811] (-1912.532) * (-1916.297) (-1925.448) [-1915.932] (-1939.928) -- 0:03:28
607000 -- (-1923.848) (-1922.319) (-1920.998) [-1908.846] * [-1922.774] (-1934.478) (-1929.179) (-1921.650) -- 0:03:28
608000 -- (-1932.133) (-1926.932) (-1916.001) [-1916.319] * (-1931.041) (-1925.620) [-1921.368] (-1919.571) -- 0:03:27
609000 -- (-1925.339) (-1941.637) [-1911.863] (-1912.844) * [-1916.386] (-1915.087) (-1932.773) (-1921.928) -- 0:03:27
610000 -- (-1926.086) (-1935.296) (-1920.655) [-1916.502] * [-1917.577] (-1911.659) (-1931.197) (-1932.043) -- 0:03:26
Average standard deviation of split frequencies: 0.010559
611000 -- (-1924.079) (-1934.946) [-1923.451] (-1916.201) * [-1908.698] (-1914.727) (-1932.431) (-1928.272) -- 0:03:26
612000 -- (-1930.825) (-1924.598) (-1921.344) [-1914.438] * [-1920.012] (-1924.840) (-1911.220) (-1929.815) -- 0:03:25
613000 -- (-1919.501) (-1931.327) [-1915.021] (-1936.651) * (-1918.930) [-1910.443] (-1915.502) (-1930.493) -- 0:03:25
614000 -- (-1921.387) (-1942.528) [-1923.378] (-1927.680) * (-1924.978) [-1915.656] (-1921.423) (-1931.411) -- 0:03:24
615000 -- (-1913.048) (-1941.971) [-1916.040] (-1930.444) * (-1934.258) (-1918.622) [-1912.329] (-1935.402) -- 0:03:24
Average standard deviation of split frequencies: 0.010413
616000 -- (-1924.004) (-1913.993) [-1925.010] (-1934.656) * (-1932.482) [-1918.341] (-1911.458) (-1928.455) -- 0:03:23
617000 -- (-1935.934) (-1928.688) (-1925.650) [-1912.582] * (-1928.556) (-1919.454) [-1914.722] (-1927.931) -- 0:03:22
618000 -- (-1925.433) (-1922.873) (-1924.054) [-1919.390] * (-1930.722) (-1921.473) [-1914.350] (-1932.966) -- 0:03:22
619000 -- (-1919.392) (-1935.185) (-1916.577) [-1909.042] * (-1921.314) (-1929.317) [-1909.886] (-1929.606) -- 0:03:21
620000 -- (-1919.325) (-1944.047) (-1916.352) [-1922.216] * (-1932.243) (-1925.925) [-1912.007] (-1927.222) -- 0:03:21
Average standard deviation of split frequencies: 0.010443
621000 -- [-1926.204] (-1948.486) (-1922.357) (-1921.674) * (-1922.282) [-1911.884] (-1919.816) (-1933.457) -- 0:03:20
622000 -- (-1924.942) (-1929.009) (-1935.152) [-1906.966] * (-1926.569) [-1909.254] (-1927.927) (-1931.187) -- 0:03:20
623000 -- (-1915.041) (-1928.725) (-1934.824) [-1910.963] * (-1926.419) (-1921.680) [-1914.391] (-1932.509) -- 0:03:19
624000 -- (-1915.316) (-1945.276) (-1933.677) [-1908.930] * (-1929.276) (-1936.376) [-1913.289] (-1925.324) -- 0:03:19
625000 -- [-1914.699] (-1928.247) (-1919.446) (-1913.398) * (-1927.245) [-1918.986] (-1924.239) (-1923.993) -- 0:03:18
Average standard deviation of split frequencies: 0.010247
626000 -- (-1913.304) (-1921.310) (-1931.321) [-1913.212] * (-1910.848) [-1919.047] (-1917.869) (-1930.784) -- 0:03:18
627000 -- (-1919.342) (-1926.790) (-1918.840) [-1914.059] * (-1920.584) [-1908.924] (-1922.770) (-1933.623) -- 0:03:18
628000 -- (-1931.315) (-1928.948) [-1915.813] (-1910.359) * (-1927.077) [-1915.626] (-1909.707) (-1935.274) -- 0:03:17
629000 -- (-1919.434) (-1932.782) [-1916.888] (-1926.572) * (-1913.589) (-1924.147) [-1907.105] (-1933.248) -- 0:03:17
630000 -- (-1924.027) [-1926.881] (-1930.136) (-1945.604) * (-1916.722) (-1921.171) [-1908.995] (-1930.861) -- 0:03:16
Average standard deviation of split frequencies: 0.010384
631000 -- (-1918.153) (-1916.576) [-1923.592] (-1924.255) * (-1922.126) (-1928.678) [-1915.886] (-1915.745) -- 0:03:15
632000 -- (-1918.754) [-1916.175] (-1930.934) (-1922.081) * (-1929.086) (-1925.060) (-1930.269) [-1915.187] -- 0:03:15
633000 -- (-1922.830) [-1917.305] (-1918.190) (-1925.369) * (-1929.122) (-1923.519) [-1912.749] (-1917.825) -- 0:03:14
634000 -- (-1935.196) (-1914.839) [-1909.618] (-1918.989) * (-1914.237) (-1917.628) [-1918.287] (-1926.911) -- 0:03:13
635000 -- [-1925.150] (-1936.317) (-1922.701) (-1920.877) * (-1925.906) (-1929.040) [-1919.155] (-1916.723) -- 0:03:13
Average standard deviation of split frequencies: 0.010244
636000 -- (-1926.760) (-1934.527) [-1913.539] (-1917.897) * (-1918.846) (-1918.127) (-1911.598) [-1917.790] -- 0:03:12
637000 -- (-1929.829) (-1915.553) [-1908.030] (-1922.890) * (-1922.682) (-1926.893) [-1924.670] (-1936.380) -- 0:03:12
638000 -- (-1931.125) [-1909.195] (-1920.192) (-1921.540) * (-1928.629) (-1920.334) (-1911.362) [-1903.955] -- 0:03:11
639000 -- (-1927.766) (-1921.565) (-1917.423) [-1917.714] * (-1925.214) (-1909.210) [-1912.317] (-1918.715) -- 0:03:11
640000 -- (-1926.163) (-1924.419) [-1920.806] (-1924.256) * [-1920.724] (-1919.661) (-1924.132) (-1926.472) -- 0:03:10
Average standard deviation of split frequencies: 0.010354
641000 -- (-1945.786) (-1930.378) (-1914.332) [-1915.491] * (-1931.730) [-1907.249] (-1925.325) (-1948.342) -- 0:03:10
642000 -- (-1938.958) (-1934.055) [-1922.270] (-1932.038) * [-1917.215] (-1918.073) (-1928.382) (-1931.707) -- 0:03:10
643000 -- (-1919.864) [-1915.918] (-1931.687) (-1913.890) * [-1922.977] (-1912.402) (-1931.397) (-1926.661) -- 0:03:09
644000 -- (-1927.837) (-1929.903) (-1920.743) [-1909.148] * [-1910.224] (-1928.576) (-1921.937) (-1932.240) -- 0:03:09
645000 -- (-1936.414) (-1916.030) [-1916.015] (-1919.213) * (-1916.945) [-1921.943] (-1914.913) (-1931.715) -- 0:03:08
Average standard deviation of split frequencies: 0.010242
646000 -- (-1924.221) [-1921.472] (-1923.532) (-1923.325) * (-1925.678) [-1913.569] (-1922.408) (-1921.125) -- 0:03:07
647000 -- (-1927.091) [-1908.700] (-1938.035) (-1921.505) * [-1907.025] (-1934.007) (-1951.330) (-1926.366) -- 0:03:07
648000 -- (-1918.043) (-1919.605) (-1940.934) [-1928.078] * (-1914.460) [-1912.684] (-1923.694) (-1927.069) -- 0:03:06
649000 -- [-1916.431] (-1927.208) (-1940.399) (-1918.628) * (-1926.948) (-1920.232) [-1906.598] (-1920.117) -- 0:03:06
650000 -- [-1911.449] (-1926.655) (-1929.984) (-1934.715) * (-1923.196) [-1915.837] (-1919.406) (-1938.115) -- 0:03:05
Average standard deviation of split frequencies: 0.010117
651000 -- [-1913.198] (-1925.444) (-1921.758) (-1924.728) * (-1930.437) [-1909.405] (-1916.516) (-1949.509) -- 0:03:04
652000 -- (-1926.359) [-1915.519] (-1939.960) (-1922.843) * (-1927.983) (-1912.470) [-1914.393] (-1940.186) -- 0:03:04
653000 -- (-1917.925) (-1918.229) [-1920.284] (-1918.210) * (-1911.778) (-1919.943) [-1915.187] (-1930.463) -- 0:03:03
654000 -- (-1929.732) [-1916.585] (-1942.904) (-1913.169) * (-1921.675) [-1924.138] (-1928.790) (-1924.902) -- 0:03:03
655000 -- (-1927.183) [-1910.417] (-1936.261) (-1919.034) * [-1910.438] (-1950.452) (-1914.283) (-1921.266) -- 0:03:03
Average standard deviation of split frequencies: 0.009855
656000 -- [-1919.296] (-1928.538) (-1922.498) (-1931.401) * (-1914.105) (-1937.653) [-1917.213] (-1918.776) -- 0:03:02
657000 -- [-1916.014] (-1930.398) (-1940.000) (-1922.635) * (-1921.734) [-1924.859] (-1935.277) (-1924.084) -- 0:03:02
658000 -- [-1912.937] (-1918.855) (-1927.487) (-1940.507) * (-1919.524) (-1910.755) (-1922.796) [-1909.056] -- 0:03:01
659000 -- (-1909.558) [-1925.100] (-1934.762) (-1921.970) * (-1918.336) [-1911.754] (-1940.534) (-1914.029) -- 0:03:01
660000 -- (-1907.612) (-1925.223) [-1910.072] (-1922.750) * [-1906.129] (-1915.859) (-1919.948) (-1929.396) -- 0:03:00
Average standard deviation of split frequencies: 0.009964
661000 -- (-1924.967) [-1907.221] (-1917.760) (-1920.232) * [-1922.356] (-1922.490) (-1920.479) (-1926.883) -- 0:03:00
662000 -- [-1912.920] (-1917.015) (-1919.087) (-1921.886) * (-1917.346) (-1935.203) [-1916.793] (-1936.876) -- 0:02:59
663000 -- (-1922.344) [-1914.262] (-1930.393) (-1934.481) * [-1917.779] (-1916.781) (-1934.473) (-1932.052) -- 0:02:58
664000 -- [-1916.754] (-1914.249) (-1923.230) (-1930.815) * (-1936.147) (-1929.953) (-1910.105) [-1913.060] -- 0:02:58
665000 -- [-1908.416] (-1914.121) (-1930.442) (-1932.153) * (-1941.693) (-1922.563) (-1921.561) [-1914.697] -- 0:02:57
Average standard deviation of split frequencies: 0.009707
666000 -- (-1929.313) [-1921.703] (-1928.693) (-1946.428) * (-1923.565) (-1922.830) (-1925.120) [-1911.088] -- 0:02:57
667000 -- [-1920.657] (-1916.940) (-1930.551) (-1918.835) * (-1922.385) [-1916.351] (-1930.031) (-1912.974) -- 0:02:56
668000 -- (-1912.543) [-1909.238] (-1933.961) (-1922.632) * (-1937.802) (-1913.679) (-1932.110) [-1912.945] -- 0:02:55
669000 -- (-1927.588) (-1920.150) (-1927.182) [-1910.922] * (-1940.336) (-1908.745) (-1924.896) [-1907.065] -- 0:02:55
670000 -- [-1911.167] (-1928.145) (-1925.625) (-1910.118) * (-1931.903) [-1909.790] (-1925.075) (-1921.132) -- 0:02:55
Average standard deviation of split frequencies: 0.010016
671000 -- (-1930.618) (-1924.162) [-1914.796] (-1915.795) * [-1919.244] (-1927.705) (-1918.975) (-1919.668) -- 0:02:54
672000 -- (-1930.796) (-1918.195) (-1910.426) [-1910.779] * (-1916.752) (-1936.723) (-1944.372) [-1923.469] -- 0:02:54
673000 -- (-1928.024) (-1939.726) [-1914.929] (-1915.492) * (-1912.277) (-1933.870) (-1927.493) [-1920.082] -- 0:02:53
674000 -- (-1922.898) (-1920.551) (-1914.323) [-1915.964] * (-1915.543) (-1926.248) (-1926.418) [-1912.356] -- 0:02:53
675000 -- (-1943.582) (-1930.443) (-1928.693) [-1916.164] * (-1928.982) (-1929.284) (-1911.867) [-1911.495] -- 0:02:52
Average standard deviation of split frequencies: 0.010361
676000 -- (-1922.238) (-1923.035) (-1918.779) [-1920.095] * (-1925.951) (-1919.704) [-1912.919] (-1915.638) -- 0:02:52
677000 -- (-1908.747) [-1912.481] (-1929.125) (-1926.495) * (-1932.698) [-1920.635] (-1923.607) (-1925.094) -- 0:02:51
678000 -- [-1915.668] (-1917.958) (-1934.804) (-1925.323) * [-1932.586] (-1930.368) (-1935.050) (-1920.863) -- 0:02:50
679000 -- (-1917.991) (-1935.044) (-1926.344) [-1918.731] * (-1920.277) [-1912.963] (-1922.965) (-1914.713) -- 0:02:50
680000 -- (-1926.556) [-1914.583] (-1928.356) (-1921.515) * (-1919.622) (-1917.723) (-1927.672) [-1907.509] -- 0:02:49
Average standard deviation of split frequencies: 0.010586
681000 -- (-1915.292) (-1912.087) [-1918.221] (-1930.988) * [-1916.313] (-1917.411) (-1918.550) (-1914.835) -- 0:02:49
682000 -- (-1917.226) [-1911.821] (-1912.687) (-1923.664) * [-1913.861] (-1916.282) (-1934.538) (-1920.676) -- 0:02:48
683000 -- (-1917.393) (-1920.125) [-1915.619] (-1926.745) * [-1914.563] (-1919.020) (-1935.415) (-1930.906) -- 0:02:48
684000 -- (-1949.970) (-1922.840) [-1914.951] (-1920.079) * (-1915.431) [-1915.067] (-1941.396) (-1933.443) -- 0:02:47
685000 -- (-1936.643) (-1931.450) (-1918.353) [-1906.328] * (-1925.459) [-1920.063] (-1923.062) (-1930.295) -- 0:02:46
Average standard deviation of split frequencies: 0.010602
686000 -- (-1914.335) (-1930.684) [-1908.018] (-1919.793) * (-1920.484) (-1939.889) (-1920.436) [-1918.534] -- 0:02:46
687000 -- (-1928.258) (-1931.621) [-1911.275] (-1924.007) * (-1941.080) (-1920.690) [-1919.294] (-1916.353) -- 0:02:46
688000 -- (-1930.218) (-1930.267) [-1917.141] (-1921.287) * [-1920.466] (-1912.694) (-1929.764) (-1914.447) -- 0:02:45
689000 -- (-1940.626) (-1911.283) (-1914.671) [-1917.755] * (-1930.609) (-1913.971) [-1918.620] (-1924.477) -- 0:02:45
690000 -- (-1933.187) [-1918.868] (-1933.393) (-1917.049) * (-1943.255) (-1914.884) (-1916.682) [-1910.086] -- 0:02:44
Average standard deviation of split frequencies: 0.010604
691000 -- (-1934.380) [-1919.284] (-1931.973) (-1925.451) * [-1926.666] (-1921.601) (-1934.717) (-1925.940) -- 0:02:44
692000 -- (-1911.310) [-1913.990] (-1941.930) (-1927.556) * [-1921.233] (-1929.217) (-1927.154) (-1919.394) -- 0:02:43
693000 -- (-1920.822) [-1906.469] (-1929.721) (-1914.781) * (-1924.677) (-1940.953) (-1915.409) [-1917.047] -- 0:02:43
694000 -- (-1924.043) [-1919.471] (-1926.368) (-1919.067) * (-1921.447) (-1936.208) [-1919.293] (-1932.553) -- 0:02:42
695000 -- [-1921.546] (-1919.799) (-1914.519) (-1930.411) * [-1915.460] (-1927.468) (-1924.492) (-1916.732) -- 0:02:41
Average standard deviation of split frequencies: 0.011103
696000 -- (-1912.846) [-1916.967] (-1924.560) (-1930.839) * (-1920.113) (-1929.772) [-1919.191] (-1926.273) -- 0:02:41
697000 -- [-1916.820] (-1916.529) (-1924.488) (-1926.533) * (-1917.141) [-1919.083] (-1921.409) (-1931.961) -- 0:02:40
698000 -- (-1924.021) [-1914.160] (-1912.115) (-1918.447) * [-1905.215] (-1920.140) (-1938.668) (-1918.228) -- 0:02:40
699000 -- [-1916.645] (-1911.803) (-1922.089) (-1929.175) * (-1911.646) (-1916.763) [-1918.198] (-1920.915) -- 0:02:39
700000 -- [-1912.003] (-1919.238) (-1923.601) (-1922.577) * (-1920.284) (-1923.334) [-1919.603] (-1922.387) -- 0:02:39
Average standard deviation of split frequencies: 0.011221
701000 -- (-1924.585) [-1922.323] (-1936.080) (-1925.111) * [-1910.268] (-1915.755) (-1929.828) (-1928.848) -- 0:02:38
702000 -- [-1913.075] (-1928.551) (-1921.853) (-1934.355) * (-1908.187) (-1921.417) [-1917.594] (-1923.508) -- 0:02:37
703000 -- [-1917.832] (-1921.122) (-1916.990) (-1928.431) * (-1929.734) [-1917.766] (-1919.111) (-1923.041) -- 0:02:37
704000 -- (-1912.443) (-1922.029) [-1911.490] (-1931.201) * (-1923.458) [-1914.403] (-1944.732) (-1911.796) -- 0:02:36
705000 -- (-1918.478) [-1917.457] (-1923.874) (-1934.496) * (-1922.826) [-1910.216] (-1915.585) (-1927.503) -- 0:02:36
Average standard deviation of split frequencies: 0.010898
706000 -- (-1910.463) (-1922.289) (-1922.898) [-1911.097] * (-1915.177) [-1914.790] (-1923.445) (-1932.964) -- 0:02:35
707000 -- (-1918.222) (-1923.046) (-1932.718) [-1920.905] * (-1933.777) (-1917.043) (-1922.865) [-1920.792] -- 0:02:35
708000 -- (-1916.399) (-1930.187) (-1936.708) [-1920.852] * [-1909.853] (-1911.872) (-1922.582) (-1926.500) -- 0:02:35
709000 -- [-1927.477] (-1922.142) (-1929.021) (-1918.845) * (-1920.343) (-1927.952) [-1915.697] (-1923.067) -- 0:02:34
710000 -- (-1925.209) (-1929.117) [-1929.587] (-1915.313) * [-1924.919] (-1929.821) (-1917.971) (-1923.169) -- 0:02:33
Average standard deviation of split frequencies: 0.010684
711000 -- (-1915.853) (-1917.358) [-1922.904] (-1917.014) * [-1912.074] (-1929.441) (-1919.787) (-1925.727) -- 0:02:33
712000 -- (-1931.151) [-1922.463] (-1914.451) (-1927.054) * (-1909.621) (-1947.734) (-1920.262) [-1916.320] -- 0:02:32
713000 -- (-1918.274) [-1921.142] (-1927.146) (-1926.153) * (-1922.891) (-1927.555) (-1929.010) [-1909.966] -- 0:02:32
714000 -- (-1924.090) (-1919.556) [-1920.169] (-1918.029) * (-1925.931) (-1914.766) (-1933.756) [-1919.021] -- 0:02:31
715000 -- (-1916.588) (-1920.578) [-1916.979] (-1927.479) * (-1928.837) [-1916.357] (-1935.594) (-1911.502) -- 0:02:31
Average standard deviation of split frequencies: 0.010558
716000 -- (-1924.310) [-1911.791] (-1926.450) (-1941.266) * (-1925.003) (-1917.917) (-1913.105) [-1906.006] -- 0:02:30
717000 -- [-1906.720] (-1917.714) (-1920.032) (-1931.309) * (-1921.581) [-1911.683] (-1918.568) (-1944.297) -- 0:02:29
718000 -- (-1935.681) (-1917.101) [-1916.730] (-1924.570) * (-1919.485) [-1914.936] (-1915.174) (-1930.732) -- 0:02:29
719000 -- (-1929.409) (-1922.244) (-1908.313) [-1905.246] * (-1935.180) [-1912.571] (-1916.560) (-1932.097) -- 0:02:28
720000 -- (-1917.368) (-1909.809) (-1926.841) [-1910.342] * (-1943.798) [-1930.051] (-1926.814) (-1918.080) -- 0:02:28
Average standard deviation of split frequencies: 0.010723
721000 -- (-1911.697) [-1918.555] (-1917.425) (-1929.214) * (-1922.456) [-1918.715] (-1925.298) (-1913.910) -- 0:02:27
722000 -- (-1913.653) (-1928.559) (-1922.989) [-1920.154] * (-1932.454) [-1925.808] (-1925.307) (-1911.203) -- 0:02:27
723000 -- (-1906.748) [-1910.323] (-1944.581) (-1931.334) * (-1934.767) (-1917.416) (-1922.149) [-1912.900] -- 0:02:26
724000 -- (-1915.031) [-1912.742] (-1941.405) (-1929.086) * [-1912.058] (-1927.267) (-1912.831) (-1926.533) -- 0:02:26
725000 -- (-1933.541) (-1918.156) (-1931.487) [-1921.433] * (-1926.696) (-1919.296) [-1912.723] (-1920.173) -- 0:02:26
Average standard deviation of split frequencies: 0.010575
726000 -- (-1936.221) [-1910.540] (-1918.469) (-1927.978) * (-1924.338) (-1915.690) (-1921.049) [-1907.395] -- 0:02:25
727000 -- (-1930.033) (-1921.715) (-1930.174) [-1930.761] * (-1927.133) (-1924.992) (-1934.934) [-1914.774] -- 0:02:24
728000 -- [-1921.372] (-1926.498) (-1914.731) (-1936.272) * (-1918.025) (-1930.531) (-1911.528) [-1908.749] -- 0:02:24
729000 -- (-1943.522) (-1905.783) [-1909.701] (-1920.702) * [-1916.950] (-1952.407) (-1915.401) (-1914.567) -- 0:02:23
730000 -- (-1928.240) [-1913.811] (-1914.690) (-1916.558) * (-1921.006) (-1935.068) (-1909.315) [-1914.735] -- 0:02:23
Average standard deviation of split frequencies: 0.010415
731000 -- (-1934.920) (-1920.092) (-1913.939) [-1919.531] * (-1926.531) [-1918.975] (-1917.598) (-1938.395) -- 0:02:22
732000 -- (-1930.110) (-1922.396) [-1913.673] (-1932.299) * [-1920.012] (-1930.933) (-1920.051) (-1917.747) -- 0:02:22
733000 -- [-1920.180] (-1926.140) (-1923.190) (-1929.504) * (-1927.437) (-1927.853) (-1930.430) [-1918.396] -- 0:02:21
734000 -- (-1932.608) (-1915.830) (-1931.135) [-1912.992] * (-1915.223) (-1921.777) [-1919.307] (-1911.539) -- 0:02:20
735000 -- (-1920.055) [-1907.520] (-1919.774) (-1923.027) * (-1911.619) (-1927.746) (-1910.232) [-1924.306] -- 0:02:20
Average standard deviation of split frequencies: 0.010042
736000 -- (-1927.932) (-1914.644) (-1935.940) [-1920.249] * (-1927.810) (-1922.342) (-1918.139) [-1914.430] -- 0:02:19
737000 -- (-1932.214) (-1919.952) (-1930.646) [-1915.832] * (-1939.362) [-1920.492] (-1926.155) (-1916.740) -- 0:02:19
738000 -- (-1923.405) (-1920.084) (-1936.621) [-1922.424] * (-1932.988) [-1909.853] (-1923.139) (-1912.363) -- 0:02:18
739000 -- (-1923.295) (-1935.448) [-1918.722] (-1911.656) * (-1941.604) (-1913.044) [-1913.280] (-1937.751) -- 0:02:18
740000 -- [-1913.073] (-1935.304) (-1927.718) (-1923.357) * (-1933.713) (-1917.731) [-1909.774] (-1946.608) -- 0:02:17
Average standard deviation of split frequencies: 0.009865
741000 -- (-1926.415) [-1917.340] (-1917.204) (-1927.213) * (-1936.848) (-1910.659) [-1917.163] (-1919.581) -- 0:02:17
742000 -- (-1930.819) (-1936.250) [-1912.790] (-1915.286) * (-1931.876) (-1921.523) (-1921.024) [-1913.325] -- 0:02:16
743000 -- [-1921.405] (-1941.806) (-1929.117) (-1920.445) * (-1946.546) (-1936.996) (-1913.539) [-1916.193] -- 0:02:16
744000 -- [-1904.216] (-1925.713) (-1921.896) (-1915.072) * (-1924.781) (-1926.980) [-1909.394] (-1923.480) -- 0:02:15
745000 -- [-1908.301] (-1932.742) (-1924.588) (-1918.909) * (-1943.784) (-1927.063) [-1916.305] (-1924.048) -- 0:02:15
Average standard deviation of split frequencies: 0.009749
746000 -- [-1916.072] (-1926.801) (-1928.807) (-1918.203) * (-1939.473) (-1928.531) [-1919.677] (-1923.407) -- 0:02:14
747000 -- (-1913.639) (-1940.614) (-1914.843) [-1914.695] * (-1932.759) (-1941.600) [-1908.825] (-1932.889) -- 0:02:14
748000 -- [-1913.334] (-1925.445) (-1912.165) (-1925.623) * (-1936.783) [-1920.560] (-1915.939) (-1920.818) -- 0:02:13
749000 -- (-1931.859) (-1912.623) [-1919.458] (-1918.167) * (-1929.025) [-1903.544] (-1911.994) (-1940.571) -- 0:02:13
750000 -- [-1915.153] (-1917.016) (-1916.903) (-1927.608) * (-1921.884) [-1909.409] (-1911.433) (-1929.354) -- 0:02:12
Average standard deviation of split frequencies: 0.010071
751000 -- (-1918.820) (-1917.731) [-1909.286] (-1919.097) * (-1928.102) (-1915.716) [-1913.300] (-1935.453) -- 0:02:11
752000 -- (-1922.268) [-1915.405] (-1920.247) (-1924.357) * (-1940.629) [-1929.624] (-1921.467) (-1929.959) -- 0:02:11
753000 -- (-1929.704) (-1924.763) (-1919.984) [-1911.772] * [-1914.406] (-1931.989) (-1918.257) (-1913.575) -- 0:02:10
754000 -- [-1924.854] (-1926.310) (-1923.275) (-1940.366) * (-1919.469) (-1921.321) [-1907.395] (-1922.923) -- 0:02:10
755000 -- [-1921.780] (-1932.423) (-1943.781) (-1919.896) * (-1923.003) (-1921.208) [-1905.472] (-1929.663) -- 0:02:09
Average standard deviation of split frequencies: 0.009838
756000 -- (-1922.278) (-1931.162) [-1918.605] (-1918.387) * (-1925.849) [-1926.702] (-1916.299) (-1917.252) -- 0:02:09
757000 -- (-1923.966) (-1925.861) (-1929.840) [-1916.565] * (-1932.229) (-1914.782) [-1918.635] (-1908.456) -- 0:02:09
758000 -- (-1923.050) (-1942.005) [-1917.450] (-1920.519) * (-1915.741) (-1933.200) [-1920.048] (-1934.683) -- 0:02:08
759000 -- (-1930.484) (-1931.406) (-1934.463) [-1921.272] * [-1921.648] (-1932.069) (-1930.436) (-1914.731) -- 0:02:07
760000 -- [-1918.367] (-1940.854) (-1937.131) (-1917.520) * [-1921.387] (-1936.531) (-1939.702) (-1919.759) -- 0:02:07
Average standard deviation of split frequencies: 0.010159
761000 -- (-1934.605) [-1908.376] (-1918.251) (-1941.583) * (-1920.385) [-1919.435] (-1932.511) (-1917.995) -- 0:02:06
762000 -- [-1916.127] (-1910.125) (-1914.145) (-1937.000) * (-1920.703) (-1925.594) (-1929.863) [-1915.733] -- 0:02:06
763000 -- [-1916.466] (-1918.064) (-1929.181) (-1929.110) * [-1917.232] (-1920.596) (-1937.179) (-1933.555) -- 0:02:05
764000 -- (-1938.995) [-1916.958] (-1912.619) (-1931.725) * (-1920.096) [-1909.053] (-1916.824) (-1926.169) -- 0:02:05
765000 -- (-1927.569) (-1914.675) [-1909.706] (-1917.351) * (-1908.724) (-1922.027) [-1915.709] (-1923.745) -- 0:02:04
Average standard deviation of split frequencies: 0.009737
766000 -- (-1922.316) (-1931.982) [-1916.759] (-1916.375) * [-1920.478] (-1927.751) (-1915.333) (-1925.719) -- 0:02:04
767000 -- (-1924.638) (-1924.165) (-1925.543) [-1919.034] * [-1917.675] (-1922.686) (-1918.888) (-1946.181) -- 0:02:03
768000 -- (-1930.642) [-1917.858] (-1924.138) (-1919.629) * (-1937.299) (-1913.158) [-1918.901] (-1930.929) -- 0:02:02
769000 -- (-1931.890) (-1921.805) (-1919.465) [-1920.131] * (-1916.064) (-1924.356) (-1917.099) [-1911.847] -- 0:02:02
770000 -- (-1912.942) (-1916.002) [-1920.929] (-1918.863) * [-1920.318] (-1926.541) (-1923.383) (-1910.907) -- 0:02:01
Average standard deviation of split frequencies: 0.009743
771000 -- (-1926.295) (-1909.375) (-1924.044) [-1917.553] * [-1913.815] (-1925.446) (-1922.195) (-1912.995) -- 0:02:01
772000 -- [-1919.729] (-1924.785) (-1917.598) (-1925.518) * (-1929.785) (-1930.936) [-1919.817] (-1911.189) -- 0:02:01
773000 -- (-1915.545) [-1919.878] (-1938.425) (-1929.638) * (-1936.286) (-1909.687) [-1915.334] (-1911.575) -- 0:02:00
774000 -- [-1905.760] (-1923.570) (-1936.001) (-1928.491) * (-1933.520) (-1923.522) (-1929.004) [-1911.242] -- 0:02:00
775000 -- [-1920.544] (-1909.740) (-1936.751) (-1925.100) * (-1940.000) (-1929.668) (-1917.999) [-1905.633] -- 0:01:59
Average standard deviation of split frequencies: 0.009568
776000 -- (-1924.001) [-1930.225] (-1924.054) (-1927.490) * (-1932.208) (-1922.590) [-1917.823] (-1921.728) -- 0:01:58
777000 -- (-1928.447) (-1922.420) (-1933.494) [-1919.922] * (-1940.164) (-1931.027) (-1918.641) [-1916.320] -- 0:01:58
778000 -- (-1930.471) [-1901.339] (-1924.980) (-1940.468) * (-1929.883) (-1911.616) [-1915.571] (-1933.828) -- 0:01:57
779000 -- (-1917.540) (-1920.087) (-1943.430) [-1907.839] * (-1922.212) (-1922.934) (-1916.749) [-1913.504] -- 0:01:57
780000 -- (-1931.499) [-1920.649] (-1931.609) (-1921.963) * (-1919.131) [-1911.720] (-1930.410) (-1921.272) -- 0:01:56
Average standard deviation of split frequencies: 0.010019
781000 -- (-1921.835) (-1925.381) (-1922.482) [-1911.374] * [-1910.432] (-1912.283) (-1918.300) (-1924.896) -- 0:01:56
782000 -- (-1934.499) (-1928.935) [-1917.728] (-1926.408) * (-1918.384) [-1913.834] (-1922.290) (-1926.939) -- 0:01:55
783000 -- (-1927.410) (-1935.983) (-1916.376) [-1919.334] * (-1935.149) (-1916.116) [-1908.670] (-1924.890) -- 0:01:55
784000 -- (-1932.792) (-1919.848) [-1931.687] (-1917.968) * (-1908.295) (-1939.385) (-1925.764) [-1921.854] -- 0:01:54
785000 -- (-1923.405) (-1916.389) (-1934.856) [-1924.196] * (-1929.137) (-1947.991) [-1919.510] (-1921.160) -- 0:01:53
Average standard deviation of split frequencies: 0.010196
786000 -- [-1921.372] (-1931.144) (-1932.991) (-1919.948) * (-1912.255) [-1922.644] (-1934.063) (-1918.477) -- 0:01:53
787000 -- [-1909.830] (-1925.758) (-1944.578) (-1915.923) * [-1908.479] (-1933.503) (-1941.373) (-1913.726) -- 0:01:53
788000 -- (-1932.686) (-1927.370) [-1923.255] (-1934.075) * (-1909.409) (-1923.896) (-1930.374) [-1913.606] -- 0:01:52
789000 -- (-1927.587) (-1942.904) [-1913.262] (-1923.860) * (-1915.291) (-1923.221) (-1929.675) [-1908.264] -- 0:01:52
790000 -- (-1920.988) (-1922.870) [-1911.307] (-1930.778) * [-1909.807] (-1929.348) (-1934.880) (-1937.074) -- 0:01:51
Average standard deviation of split frequencies: 0.010199
791000 -- (-1925.699) [-1915.592] (-1940.229) (-1913.540) * [-1923.475] (-1921.416) (-1929.095) (-1920.347) -- 0:01:50
792000 -- (-1913.967) [-1921.704] (-1926.915) (-1926.103) * (-1920.919) (-1934.880) (-1924.440) [-1920.017] -- 0:01:50
793000 -- [-1908.991] (-1937.458) (-1927.647) (-1915.423) * [-1922.988] (-1922.486) (-1921.821) (-1926.582) -- 0:01:49
794000 -- [-1915.865] (-1923.046) (-1923.161) (-1934.198) * (-1927.512) [-1926.814] (-1921.597) (-1919.837) -- 0:01:49
795000 -- (-1915.162) (-1912.190) [-1914.920] (-1921.992) * (-1921.564) (-1931.768) [-1912.410] (-1920.340) -- 0:01:48
Average standard deviation of split frequencies: 0.010287
796000 -- (-1922.434) [-1922.019] (-1920.348) (-1926.499) * (-1926.694) (-1932.883) [-1914.277] (-1919.600) -- 0:01:48
797000 -- (-1922.379) [-1919.703] (-1921.733) (-1936.174) * (-1916.740) [-1922.546] (-1927.289) (-1940.890) -- 0:01:47
798000 -- (-1917.207) [-1921.728] (-1915.450) (-1923.916) * (-1921.743) (-1924.101) (-1919.834) [-1923.573] -- 0:01:47
799000 -- (-1923.276) (-1918.783) (-1929.502) [-1924.363] * (-1930.083) [-1916.351] (-1920.792) (-1926.889) -- 0:01:46
800000 -- [-1923.749] (-1925.674) (-1923.661) (-1924.619) * (-1945.459) [-1913.411] (-1916.551) (-1920.412) -- 0:01:46
Average standard deviation of split frequencies: 0.010402
801000 -- (-1914.049) [-1914.194] (-1926.517) (-1925.426) * (-1925.822) (-1917.782) (-1906.332) [-1921.011] -- 0:01:45
802000 -- (-1930.138) [-1914.193] (-1934.060) (-1907.397) * (-1915.565) (-1922.871) (-1923.977) [-1927.322] -- 0:01:45
803000 -- (-1923.081) (-1921.553) [-1923.945] (-1919.487) * [-1913.067] (-1923.253) (-1912.788) (-1937.240) -- 0:01:44
804000 -- (-1922.044) [-1915.819] (-1921.155) (-1921.876) * (-1912.942) (-1922.277) [-1909.796] (-1930.953) -- 0:01:44
805000 -- (-1923.331) [-1921.044] (-1927.946) (-1920.277) * [-1910.992] (-1923.347) (-1908.517) (-1948.586) -- 0:01:43
Average standard deviation of split frequencies: 0.010152
806000 -- (-1922.701) (-1907.683) (-1916.021) [-1915.128] * (-1920.954) (-1924.485) [-1906.699] (-1930.167) -- 0:01:43
807000 -- (-1929.379) [-1912.518] (-1927.567) (-1925.024) * [-1910.879] (-1937.386) (-1907.888) (-1927.998) -- 0:01:42
808000 -- (-1927.113) (-1920.461) (-1938.455) [-1911.935] * [-1912.996] (-1923.351) (-1917.960) (-1923.394) -- 0:01:41
809000 -- (-1927.565) (-1920.986) [-1917.390] (-1916.004) * [-1914.600] (-1924.413) (-1931.703) (-1921.284) -- 0:01:41
810000 -- (-1914.086) (-1933.009) (-1925.657) [-1920.167] * [-1917.145] (-1916.373) (-1930.774) (-1932.343) -- 0:01:40
Average standard deviation of split frequencies: 0.010209
811000 -- (-1922.051) [-1920.688] (-1932.683) (-1939.998) * (-1921.662) (-1929.027) [-1907.695] (-1932.002) -- 0:01:40
812000 -- [-1916.592] (-1932.720) (-1920.702) (-1930.393) * (-1924.164) (-1927.496) [-1916.577] (-1932.432) -- 0:01:39
813000 -- (-1932.481) (-1930.558) [-1908.655] (-1918.866) * [-1917.086] (-1926.105) (-1912.715) (-1921.026) -- 0:01:39
814000 -- (-1922.338) [-1920.607] (-1913.143) (-1928.063) * [-1914.337] (-1920.457) (-1924.821) (-1933.743) -- 0:01:38
815000 -- [-1921.210] (-1919.445) (-1923.961) (-1922.054) * (-1917.804) (-1928.227) (-1926.374) [-1914.555] -- 0:01:38
Average standard deviation of split frequencies: 0.010227
816000 -- (-1932.615) (-1922.707) (-1922.039) [-1917.945] * [-1925.549] (-1918.841) (-1924.732) (-1918.229) -- 0:01:37
817000 -- (-1930.116) (-1925.416) (-1920.768) [-1915.679] * [-1916.932] (-1923.510) (-1934.379) (-1921.625) -- 0:01:36
818000 -- (-1924.588) (-1913.158) [-1919.703] (-1919.938) * [-1911.842] (-1927.144) (-1925.550) (-1933.319) -- 0:01:36
819000 -- (-1925.181) [-1907.482] (-1924.570) (-1931.142) * (-1919.361) (-1921.559) [-1917.735] (-1929.822) -- 0:01:35
820000 -- (-1930.251) [-1916.524] (-1919.865) (-1925.314) * (-1916.631) (-1921.181) (-1907.581) [-1912.848] -- 0:01:35
Average standard deviation of split frequencies: 0.010212
821000 -- (-1919.326) [-1907.869] (-1922.601) (-1923.395) * (-1937.668) [-1913.954] (-1917.071) (-1937.654) -- 0:01:35
822000 -- (-1919.056) [-1914.809] (-1914.161) (-1929.494) * (-1929.351) (-1924.362) [-1915.365] (-1940.020) -- 0:01:34
823000 -- (-1925.502) (-1913.490) (-1919.532) [-1920.484] * (-1925.187) [-1919.593] (-1921.343) (-1916.284) -- 0:01:33
824000 -- (-1944.924) [-1921.227] (-1927.479) (-1919.321) * (-1917.931) (-1914.310) [-1920.543] (-1921.990) -- 0:01:33
825000 -- (-1940.018) [-1918.101] (-1935.371) (-1931.656) * (-1939.586) [-1918.176] (-1924.287) (-1920.524) -- 0:01:32
Average standard deviation of split frequencies: 0.010110
826000 -- (-1939.010) (-1913.429) [-1932.467] (-1929.559) * (-1938.221) [-1910.015] (-1920.232) (-1912.342) -- 0:01:32
827000 -- [-1922.688] (-1923.963) (-1945.828) (-1930.341) * (-1924.734) (-1924.267) (-1917.276) [-1912.829] -- 0:01:31
828000 -- (-1929.382) [-1915.649] (-1934.507) (-1921.637) * (-1913.573) (-1928.508) (-1937.809) [-1922.794] -- 0:01:31
829000 -- (-1917.923) [-1931.065] (-1928.651) (-1917.151) * (-1916.053) (-1925.955) [-1914.665] (-1914.835) -- 0:01:30
830000 -- (-1912.427) [-1915.462] (-1934.686) (-1912.705) * (-1933.201) (-1919.935) (-1928.872) [-1911.160] -- 0:01:30
Average standard deviation of split frequencies: 0.010154
831000 -- (-1920.970) [-1911.592] (-1960.133) (-1908.618) * (-1936.432) (-1922.542) (-1908.596) [-1920.747] -- 0:01:29
832000 -- (-1925.793) (-1920.319) (-1938.987) [-1910.095] * (-1938.519) [-1913.776] (-1921.621) (-1911.339) -- 0:01:29
833000 -- (-1915.696) (-1909.716) (-1948.542) [-1914.916] * (-1921.685) (-1915.059) (-1918.377) [-1920.672] -- 0:01:28
834000 -- [-1911.731] (-1930.425) (-1947.645) (-1929.414) * (-1931.002) (-1936.249) [-1911.143] (-1918.220) -- 0:01:27
835000 -- [-1921.510] (-1927.563) (-1929.262) (-1929.021) * (-1930.612) (-1925.248) (-1914.099) [-1925.300] -- 0:01:27
Average standard deviation of split frequencies: 0.010069
836000 -- [-1919.327] (-1919.706) (-1925.738) (-1926.958) * (-1924.589) [-1930.076] (-1908.260) (-1917.194) -- 0:01:26
837000 -- (-1918.464) [-1920.901] (-1937.613) (-1922.090) * (-1928.995) (-1920.542) [-1919.907] (-1924.881) -- 0:01:26
838000 -- (-1924.129) [-1917.656] (-1929.077) (-1924.361) * (-1928.880) [-1921.556] (-1940.353) (-1916.888) -- 0:01:25
839000 -- (-1928.002) [-1912.756] (-1930.487) (-1918.398) * (-1922.721) (-1926.969) (-1924.109) [-1925.023] -- 0:01:25
840000 -- (-1923.545) [-1923.669] (-1929.415) (-1907.023) * (-1923.612) (-1930.190) [-1914.990] (-1936.937) -- 0:01:24
Average standard deviation of split frequencies: 0.009740
841000 -- (-1920.227) [-1919.039] (-1930.838) (-1912.801) * (-1920.426) [-1909.192] (-1927.823) (-1936.466) -- 0:01:24
842000 -- [-1920.681] (-1924.697) (-1937.168) (-1928.085) * (-1919.987) (-1922.881) [-1917.358] (-1945.148) -- 0:01:23
843000 -- (-1940.164) (-1925.778) [-1919.866] (-1917.938) * [-1919.666] (-1924.603) (-1924.981) (-1925.647) -- 0:01:23
844000 -- [-1921.362] (-1922.530) (-1912.444) (-1921.592) * (-1913.495) (-1924.224) [-1916.117] (-1921.456) -- 0:01:22
845000 -- (-1928.758) (-1919.378) [-1921.992] (-1928.297) * (-1926.972) (-1927.520) (-1916.558) [-1915.005] -- 0:01:22
Average standard deviation of split frequencies: 0.009413
846000 -- (-1923.227) (-1917.898) (-1918.416) [-1915.981] * (-1913.436) (-1928.116) [-1910.061] (-1915.437) -- 0:01:21
847000 -- [-1916.517] (-1930.497) (-1925.138) (-1930.021) * (-1916.323) [-1917.803] (-1916.861) (-1929.414) -- 0:01:21
848000 -- (-1953.524) [-1924.591] (-1918.079) (-1916.893) * (-1927.053) (-1923.517) [-1909.868] (-1931.796) -- 0:01:20
849000 -- (-1913.136) (-1931.815) (-1928.876) [-1919.570] * (-1916.447) (-1914.645) [-1918.603] (-1920.616) -- 0:01:20
850000 -- (-1914.901) (-1920.324) (-1921.587) [-1917.334] * [-1918.451] (-1931.429) (-1940.923) (-1920.337) -- 0:01:19
Average standard deviation of split frequencies: 0.009361
851000 -- (-1922.437) (-1916.107) (-1920.789) [-1915.618] * (-1923.518) (-1909.384) (-1923.248) [-1920.502] -- 0:01:18
852000 -- [-1911.111] (-1930.128) (-1927.491) (-1919.376) * (-1938.868) (-1921.388) [-1913.602] (-1917.306) -- 0:01:18
853000 -- [-1922.542] (-1929.758) (-1915.607) (-1940.358) * [-1918.760] (-1933.923) (-1918.081) (-1929.347) -- 0:01:17
854000 -- (-1913.117) [-1921.785] (-1920.219) (-1920.034) * [-1922.723] (-1915.222) (-1910.840) (-1930.280) -- 0:01:17
855000 -- [-1915.383] (-1930.473) (-1919.430) (-1919.724) * [-1907.932] (-1927.516) (-1913.339) (-1948.243) -- 0:01:16
Average standard deviation of split frequencies: 0.009067
856000 -- (-1916.764) (-1917.904) (-1926.651) [-1915.017] * (-1917.334) [-1911.708] (-1917.247) (-1927.334) -- 0:01:16
857000 -- [-1908.376] (-1929.587) (-1916.056) (-1934.930) * [-1904.645] (-1921.837) (-1914.124) (-1917.159) -- 0:01:15
858000 -- (-1922.442) [-1918.097] (-1921.380) (-1940.096) * [-1920.992] (-1918.416) (-1916.831) (-1927.259) -- 0:01:15
859000 -- (-1922.341) (-1914.742) [-1909.507] (-1939.727) * [-1913.994] (-1919.220) (-1915.282) (-1918.330) -- 0:01:14
860000 -- (-1908.206) (-1925.997) (-1914.618) [-1920.514] * [-1912.335] (-1912.052) (-1927.373) (-1927.045) -- 0:01:14
Average standard deviation of split frequencies: 0.008881
861000 -- (-1937.527) (-1920.357) [-1910.621] (-1925.069) * (-1919.974) [-1912.856] (-1946.424) (-1926.857) -- 0:01:13
862000 -- [-1915.399] (-1914.136) (-1918.418) (-1928.090) * [-1919.645] (-1919.624) (-1928.610) (-1926.507) -- 0:01:13
863000 -- (-1924.228) [-1903.946] (-1929.049) (-1925.366) * [-1912.512] (-1927.255) (-1934.218) (-1926.991) -- 0:01:12
864000 -- (-1911.029) [-1914.737] (-1930.392) (-1918.829) * [-1912.633] (-1924.709) (-1925.690) (-1928.011) -- 0:01:12
865000 -- [-1919.934] (-1935.775) (-1920.028) (-1914.468) * [-1907.692] (-1924.034) (-1925.186) (-1925.537) -- 0:01:11
Average standard deviation of split frequencies: 0.009040
866000 -- (-1925.228) (-1944.639) (-1945.159) [-1917.434] * (-1918.192) [-1922.095] (-1926.520) (-1930.522) -- 0:01:11
867000 -- [-1923.159] (-1930.358) (-1919.428) (-1920.578) * [-1914.497] (-1935.117) (-1916.458) (-1919.156) -- 0:01:10
868000 -- (-1912.555) [-1914.043] (-1927.825) (-1924.407) * (-1920.185) (-1927.923) [-1918.106] (-1923.266) -- 0:01:09
869000 -- (-1930.291) (-1928.229) (-1921.457) [-1906.669] * (-1917.834) (-1930.075) [-1921.549] (-1948.561) -- 0:01:09
870000 -- (-1912.358) (-1932.069) [-1912.456] (-1921.910) * (-1936.011) [-1917.972] (-1922.153) (-1921.441) -- 0:01:08
Average standard deviation of split frequencies: 0.009262
871000 -- [-1915.553] (-1924.722) (-1925.959) (-1939.793) * (-1909.140) (-1936.152) (-1917.717) [-1915.855] -- 0:01:08
872000 -- [-1913.854] (-1926.683) (-1916.042) (-1923.284) * (-1916.048) (-1938.592) [-1922.250] (-1920.490) -- 0:01:07
873000 -- (-1919.724) [-1922.010] (-1930.340) (-1938.169) * (-1921.674) (-1926.711) [-1919.145] (-1919.357) -- 0:01:07
874000 -- (-1914.134) [-1914.677] (-1937.183) (-1922.187) * [-1920.770] (-1914.280) (-1923.717) (-1916.774) -- 0:01:06
875000 -- (-1932.304) (-1923.191) [-1924.831] (-1914.564) * (-1925.055) (-1920.649) (-1929.465) [-1910.884] -- 0:01:06
Average standard deviation of split frequencies: 0.009494
876000 -- [-1913.314] (-1932.994) (-1932.328) (-1922.612) * (-1923.736) (-1917.558) [-1916.040] (-1916.162) -- 0:01:05
877000 -- [-1912.287] (-1926.257) (-1922.477) (-1915.291) * [-1922.061] (-1915.735) (-1915.467) (-1931.338) -- 0:01:05
878000 -- (-1915.307) (-1934.388) (-1924.908) [-1910.255] * (-1921.666) [-1913.167] (-1929.388) (-1930.277) -- 0:01:04
879000 -- (-1921.977) [-1925.717] (-1932.605) (-1928.156) * [-1910.893] (-1918.630) (-1928.387) (-1927.759) -- 0:01:04
880000 -- (-1927.821) (-1924.490) [-1919.462] (-1923.037) * [-1912.756] (-1922.124) (-1936.455) (-1914.939) -- 0:01:03
Average standard deviation of split frequencies: 0.009367
881000 -- (-1928.819) [-1913.334] (-1937.645) (-1934.003) * (-1924.563) (-1910.406) (-1918.121) [-1915.343] -- 0:01:03
882000 -- [-1918.733] (-1925.633) (-1926.798) (-1918.060) * (-1936.373) [-1917.964] (-1922.744) (-1922.471) -- 0:01:02
883000 -- (-1930.010) (-1916.079) (-1921.471) [-1913.495] * [-1923.828] (-1924.063) (-1931.339) (-1922.363) -- 0:01:02
884000 -- [-1905.513] (-1922.879) (-1940.795) (-1913.257) * (-1917.888) (-1943.091) [-1918.407] (-1926.019) -- 0:01:01
885000 -- (-1919.936) [-1916.526] (-1939.312) (-1913.794) * [-1919.787] (-1932.519) (-1921.474) (-1914.411) -- 0:01:00
Average standard deviation of split frequencies: 0.009349
886000 -- [-1907.638] (-1926.339) (-1922.573) (-1934.129) * (-1923.195) (-1925.860) (-1924.362) [-1920.640] -- 0:01:00
887000 -- (-1914.010) [-1915.129] (-1933.046) (-1925.335) * (-1930.689) (-1917.909) [-1919.251] (-1923.115) -- 0:00:59
888000 -- [-1920.933] (-1927.874) (-1936.723) (-1923.908) * (-1905.889) [-1916.171] (-1917.368) (-1917.344) -- 0:00:59
889000 -- (-1926.984) [-1913.740] (-1923.373) (-1927.075) * (-1936.272) [-1912.012] (-1927.786) (-1911.629) -- 0:00:58
890000 -- (-1916.169) [-1923.955] (-1937.261) (-1925.125) * (-1924.575) [-1921.017] (-1913.400) (-1910.250) -- 0:00:58
Average standard deviation of split frequencies: 0.009319
891000 -- (-1913.549) [-1906.157] (-1924.166) (-1919.352) * (-1931.834) (-1931.711) [-1910.213] (-1913.134) -- 0:00:57
892000 -- (-1929.629) [-1909.670] (-1924.641) (-1923.161) * (-1936.840) (-1927.694) (-1916.803) [-1913.639] -- 0:00:57
893000 -- (-1915.576) (-1908.338) (-1920.700) [-1910.635] * (-1923.567) (-1913.269) (-1928.909) [-1921.677] -- 0:00:56
894000 -- (-1931.209) (-1917.935) [-1907.670] (-1934.656) * (-1923.987) [-1916.442] (-1927.403) (-1917.622) -- 0:00:56
895000 -- (-1926.769) [-1917.855] (-1923.819) (-1922.014) * [-1913.347] (-1906.524) (-1920.396) (-1936.036) -- 0:00:55
Average standard deviation of split frequencies: 0.009733
896000 -- [-1925.185] (-1923.076) (-1918.636) (-1931.138) * [-1911.914] (-1930.802) (-1928.001) (-1935.574) -- 0:00:55
897000 -- [-1918.413] (-1928.022) (-1938.933) (-1922.991) * (-1926.203) [-1917.706] (-1924.984) (-1937.173) -- 0:00:54
898000 -- [-1915.569] (-1922.511) (-1935.955) (-1913.969) * (-1932.426) (-1911.977) [-1914.638] (-1920.590) -- 0:00:54
899000 -- [-1914.285] (-1909.898) (-1930.111) (-1921.898) * (-1920.963) (-1922.066) [-1908.283] (-1918.859) -- 0:00:53
900000 -- (-1917.021) [-1915.058] (-1931.979) (-1936.161) * (-1926.721) (-1924.103) (-1915.098) [-1915.551] -- 0:00:53
Average standard deviation of split frequencies: 0.009809
901000 -- [-1923.237] (-1924.949) (-1912.920) (-1935.078) * (-1915.563) (-1932.468) [-1914.846] (-1922.779) -- 0:00:52
902000 -- (-1936.725) [-1917.303] (-1912.066) (-1920.082) * [-1917.287] (-1939.653) (-1908.705) (-1923.680) -- 0:00:51
903000 -- (-1919.355) (-1922.841) [-1912.218] (-1953.502) * (-1937.265) (-1928.079) [-1910.302] (-1934.016) -- 0:00:51
904000 -- [-1920.187] (-1929.191) (-1926.033) (-1923.564) * (-1918.365) [-1918.522] (-1921.120) (-1918.074) -- 0:00:50
905000 -- (-1914.867) [-1917.726] (-1935.372) (-1928.528) * (-1942.054) (-1917.816) [-1919.221] (-1927.090) -- 0:00:50
Average standard deviation of split frequencies: 0.009501
906000 -- [-1918.000] (-1919.873) (-1922.417) (-1921.849) * (-1918.055) (-1912.963) [-1918.177] (-1941.788) -- 0:00:49
907000 -- [-1907.781] (-1925.068) (-1914.209) (-1929.234) * [-1917.814] (-1915.717) (-1921.423) (-1926.676) -- 0:00:49
908000 -- [-1920.243] (-1928.419) (-1916.891) (-1936.329) * (-1930.839) (-1933.061) [-1918.553] (-1922.009) -- 0:00:48
909000 -- (-1920.571) (-1933.042) (-1926.348) [-1912.839] * (-1935.108) (-1929.333) [-1910.325] (-1921.335) -- 0:00:48
910000 -- [-1917.874] (-1954.481) (-1917.761) (-1916.065) * (-1939.929) (-1922.430) [-1916.760] (-1928.858) -- 0:00:47
Average standard deviation of split frequencies: 0.009778
911000 -- (-1921.511) (-1934.649) (-1926.116) [-1915.769] * (-1927.200) [-1913.997] (-1921.949) (-1928.960) -- 0:00:47
912000 -- [-1908.780] (-1923.649) (-1919.437) (-1918.428) * (-1915.640) [-1919.006] (-1913.301) (-1936.035) -- 0:00:46
913000 -- [-1912.050] (-1910.428) (-1922.046) (-1922.230) * (-1934.362) [-1916.690] (-1926.399) (-1914.309) -- 0:00:46
914000 -- [-1921.938] (-1923.419) (-1931.548) (-1915.911) * (-1919.468) (-1927.988) (-1922.889) [-1911.760] -- 0:00:45
915000 -- (-1939.632) [-1916.869] (-1910.322) (-1922.810) * (-1939.621) [-1915.879] (-1924.758) (-1920.664) -- 0:00:45
Average standard deviation of split frequencies: 0.009778
916000 -- (-1941.454) [-1913.657] (-1911.835) (-1925.479) * [-1914.605] (-1913.802) (-1921.670) (-1934.253) -- 0:00:44
917000 -- (-1924.194) [-1907.994] (-1916.718) (-1926.966) * (-1925.636) (-1927.422) [-1914.091] (-1934.081) -- 0:00:43
918000 -- (-1922.145) [-1909.892] (-1919.640) (-1922.702) * (-1921.171) (-1921.606) [-1921.565] (-1946.547) -- 0:00:43
919000 -- [-1915.860] (-1912.538) (-1929.946) (-1941.653) * [-1903.940] (-1911.924) (-1926.396) (-1930.037) -- 0:00:42
920000 -- (-1918.409) [-1911.326] (-1920.933) (-1939.395) * (-1917.143) (-1934.539) [-1903.524] (-1925.421) -- 0:00:42
Average standard deviation of split frequencies: 0.009899
921000 -- (-1922.160) [-1919.123] (-1920.022) (-1930.484) * (-1912.254) (-1939.618) [-1916.431] (-1938.660) -- 0:00:41
922000 -- (-1928.989) [-1916.244] (-1918.550) (-1926.313) * (-1922.504) (-1936.291) [-1918.087] (-1925.868) -- 0:00:41
923000 -- [-1915.606] (-1921.510) (-1921.236) (-1937.081) * (-1918.150) [-1916.188] (-1935.395) (-1926.415) -- 0:00:40
924000 -- [-1917.769] (-1931.700) (-1916.203) (-1940.347) * (-1917.094) [-1920.067] (-1944.600) (-1922.283) -- 0:00:40
925000 -- (-1923.727) [-1912.875] (-1931.122) (-1929.821) * (-1933.051) [-1915.520] (-1934.341) (-1933.022) -- 0:00:39
Average standard deviation of split frequencies: 0.009909
926000 -- (-1923.231) (-1916.904) [-1918.362] (-1935.765) * (-1924.204) [-1904.462] (-1921.875) (-1925.622) -- 0:00:39
927000 -- (-1926.063) [-1912.504] (-1931.064) (-1925.455) * (-1936.438) (-1910.794) [-1914.133] (-1924.956) -- 0:00:38
928000 -- [-1926.623] (-1912.648) (-1923.607) (-1916.924) * (-1946.449) (-1904.992) (-1930.664) [-1908.932] -- 0:00:38
929000 -- [-1919.512] (-1929.326) (-1932.035) (-1924.779) * (-1924.169) [-1915.668] (-1940.175) (-1927.210) -- 0:00:37
930000 -- (-1927.244) (-1931.174) [-1918.475] (-1926.049) * [-1927.387] (-1929.916) (-1929.564) (-1919.727) -- 0:00:37
Average standard deviation of split frequencies: 0.010058
931000 -- (-1940.449) [-1920.660] (-1909.450) (-1943.207) * (-1923.496) [-1914.308] (-1917.088) (-1927.715) -- 0:00:36
932000 -- (-1931.542) [-1931.215] (-1920.550) (-1934.521) * (-1932.553) [-1915.858] (-1923.708) (-1908.864) -- 0:00:36
933000 -- (-1924.806) (-1918.353) [-1921.341] (-1928.927) * (-1919.890) [-1908.408] (-1924.827) (-1935.429) -- 0:00:35
934000 -- (-1933.308) (-1924.147) (-1927.666) [-1923.159] * [-1910.117] (-1932.831) (-1926.101) (-1914.578) -- 0:00:34
935000 -- (-1920.946) (-1922.273) (-1934.587) [-1913.021] * [-1909.713] (-1930.865) (-1937.362) (-1920.911) -- 0:00:34
Average standard deviation of split frequencies: 0.010253
936000 -- (-1913.858) [-1919.163] (-1939.211) (-1926.188) * [-1909.345] (-1923.893) (-1915.526) (-1913.172) -- 0:00:33
937000 -- [-1924.129] (-1930.808) (-1926.497) (-1922.518) * (-1926.488) [-1919.151] (-1916.618) (-1915.400) -- 0:00:33
938000 -- [-1909.797] (-1928.612) (-1930.399) (-1916.016) * (-1940.710) (-1927.657) [-1907.709] (-1915.202) -- 0:00:32
939000 -- (-1921.830) [-1910.529] (-1922.519) (-1926.043) * [-1922.641] (-1924.636) (-1920.916) (-1922.205) -- 0:00:32
940000 -- (-1917.428) (-1922.017) [-1922.613] (-1931.719) * (-1914.823) [-1920.214] (-1920.114) (-1931.797) -- 0:00:31
Average standard deviation of split frequencies: 0.010413
941000 -- (-1914.159) [-1915.389] (-1924.072) (-1918.756) * (-1929.848) (-1919.702) (-1910.960) [-1917.836] -- 0:00:31
942000 -- (-1913.017) (-1924.787) [-1924.858] (-1929.449) * (-1935.341) [-1925.912] (-1911.260) (-1923.956) -- 0:00:30
943000 -- [-1910.907] (-1927.481) (-1921.235) (-1928.436) * (-1921.100) (-1920.607) [-1918.590] (-1922.820) -- 0:00:30
944000 -- [-1922.650] (-1921.693) (-1926.041) (-1929.462) * (-1924.327) (-1917.890) [-1915.191] (-1911.404) -- 0:00:29
945000 -- [-1906.949] (-1919.467) (-1924.074) (-1939.224) * (-1929.179) (-1935.591) [-1909.088] (-1925.341) -- 0:00:29
Average standard deviation of split frequencies: 0.010162
946000 -- (-1918.023) (-1924.320) [-1922.382] (-1945.239) * (-1910.258) (-1922.184) (-1919.895) [-1932.021] -- 0:00:28
947000 -- (-1922.489) (-1920.441) [-1913.115] (-1922.405) * [-1923.122] (-1935.651) (-1926.108) (-1920.681) -- 0:00:28
948000 -- (-1931.733) [-1915.123] (-1918.457) (-1942.821) * (-1935.696) (-1914.274) (-1918.999) [-1916.774] -- 0:00:27
949000 -- (-1943.483) [-1906.859] (-1924.435) (-1913.195) * (-1949.180) (-1912.684) (-1916.035) [-1917.684] -- 0:00:27
950000 -- (-1935.899) [-1915.393] (-1926.584) (-1919.338) * (-1917.271) (-1925.049) (-1931.020) [-1911.388] -- 0:00:26
Average standard deviation of split frequencies: 0.010579
951000 -- (-1927.408) (-1923.033) (-1915.738) [-1914.598] * (-1912.666) (-1925.297) (-1922.843) [-1903.826] -- 0:00:25
952000 -- [-1919.140] (-1918.988) (-1934.458) (-1924.628) * (-1924.659) [-1917.148] (-1919.479) (-1937.200) -- 0:00:25
953000 -- (-1913.915) [-1910.190] (-1927.189) (-1923.446) * (-1922.482) (-1937.003) (-1919.001) [-1920.354] -- 0:00:24
954000 -- (-1915.358) [-1913.351] (-1940.047) (-1914.965) * [-1920.847] (-1926.991) (-1916.040) (-1916.268) -- 0:00:24
955000 -- (-1918.641) (-1908.834) (-1928.120) [-1911.980] * (-1922.045) (-1923.924) [-1921.884] (-1932.305) -- 0:00:23
Average standard deviation of split frequencies: 0.010428
956000 -- [-1919.774] (-1911.839) (-1934.681) (-1911.031) * (-1932.131) (-1919.394) (-1918.970) [-1906.313] -- 0:00:23
957000 -- (-1924.879) (-1930.544) (-1914.317) [-1915.618] * (-1923.567) [-1916.623] (-1916.643) (-1941.991) -- 0:00:22
958000 -- (-1922.208) (-1915.033) (-1917.870) [-1914.099] * (-1930.619) (-1923.018) [-1916.875] (-1925.428) -- 0:00:22
959000 -- (-1920.952) (-1933.021) [-1914.559] (-1916.213) * (-1924.618) (-1937.006) [-1919.396] (-1951.573) -- 0:00:21
960000 -- (-1920.635) (-1924.287) (-1942.946) [-1913.498] * (-1929.196) (-1930.879) (-1915.344) [-1917.451] -- 0:00:21
Average standard deviation of split frequencies: 0.010178
961000 -- (-1932.595) (-1921.245) (-1949.530) [-1921.273] * [-1913.248] (-1921.818) (-1922.788) (-1921.856) -- 0:00:20
962000 -- [-1913.302] (-1916.756) (-1942.890) (-1924.339) * (-1910.379) (-1941.562) [-1913.904] (-1928.011) -- 0:00:20
963000 -- (-1931.340) [-1914.602] (-1918.605) (-1924.416) * (-1930.268) (-1927.893) (-1923.668) [-1922.845] -- 0:00:19
964000 -- [-1911.996] (-1929.328) (-1927.046) (-1919.865) * (-1918.064) (-1930.651) [-1910.829] (-1912.160) -- 0:00:19
965000 -- (-1930.913) [-1915.656] (-1924.349) (-1934.619) * [-1916.779] (-1944.439) (-1923.361) (-1916.212) -- 0:00:18
Average standard deviation of split frequencies: 0.010320
966000 -- (-1921.444) [-1914.007] (-1917.037) (-1925.068) * [-1908.304] (-1934.152) (-1912.852) (-1918.037) -- 0:00:18
967000 -- [-1913.027] (-1927.505) (-1929.144) (-1922.546) * (-1929.551) (-1919.714) (-1924.773) [-1910.403] -- 0:00:17
968000 -- [-1916.883] (-1915.164) (-1934.993) (-1921.607) * (-1925.887) (-1916.620) (-1935.200) [-1915.801] -- 0:00:16
969000 -- (-1937.067) [-1909.939] (-1923.774) (-1927.005) * (-1929.506) (-1911.068) (-1930.087) [-1910.466] -- 0:00:16
970000 -- (-1923.646) (-1929.392) [-1912.473] (-1944.808) * (-1912.258) (-1924.510) (-1928.806) [-1905.647] -- 0:00:15
Average standard deviation of split frequencies: 0.010235
971000 -- (-1926.629) [-1912.565] (-1927.599) (-1937.010) * (-1932.504) (-1920.473) (-1913.373) [-1918.028] -- 0:00:15
972000 -- (-1925.014) (-1929.893) [-1917.769] (-1913.297) * (-1928.940) (-1927.406) [-1914.994] (-1927.972) -- 0:00:14
973000 -- [-1919.540] (-1912.232) (-1915.272) (-1922.484) * (-1931.740) (-1916.999) [-1909.997] (-1916.432) -- 0:00:14
974000 -- (-1919.894) [-1916.784] (-1919.145) (-1919.330) * (-1923.432) (-1923.264) (-1926.611) [-1917.670] -- 0:00:13
975000 -- (-1933.797) (-1913.981) (-1920.303) [-1911.133] * [-1923.175] (-1918.118) (-1928.283) (-1920.276) -- 0:00:13
Average standard deviation of split frequencies: 0.010125
976000 -- (-1924.094) (-1926.473) (-1911.083) [-1905.922] * (-1923.681) (-1920.051) [-1911.419] (-1929.269) -- 0:00:12
977000 -- (-1933.085) (-1911.720) (-1914.402) [-1918.074] * (-1918.172) [-1922.351] (-1909.762) (-1936.618) -- 0:00:12
978000 -- (-1926.602) (-1919.413) (-1909.941) [-1913.992] * (-1917.695) (-1931.201) [-1916.477] (-1934.677) -- 0:00:11
979000 -- (-1930.309) [-1913.485] (-1924.322) (-1918.400) * [-1918.551] (-1926.739) (-1933.881) (-1917.483) -- 0:00:11
980000 -- (-1922.991) (-1922.790) (-1927.305) [-1917.525] * [-1928.045] (-1916.070) (-1917.160) (-1930.697) -- 0:00:10
Average standard deviation of split frequencies: 0.009934
981000 -- (-1928.788) (-1918.949) [-1910.312] (-1914.401) * (-1924.294) (-1921.878) (-1924.393) [-1915.009] -- 0:00:10
982000 -- [-1919.983] (-1919.632) (-1921.321) (-1914.134) * (-1910.114) [-1912.115] (-1926.045) (-1913.853) -- 0:00:09
983000 -- [-1911.809] (-1921.139) (-1943.395) (-1921.611) * (-1916.635) [-1914.523] (-1930.766) (-1926.859) -- 0:00:09
984000 -- [-1919.008] (-1948.073) (-1921.519) (-1910.834) * (-1923.172) [-1914.694] (-1932.415) (-1922.877) -- 0:00:08
985000 -- (-1934.016) (-1926.236) (-1930.096) [-1906.785] * [-1912.193] (-1911.277) (-1912.601) (-1926.509) -- 0:00:07
Average standard deviation of split frequencies: 0.009916
986000 -- (-1932.710) (-1930.539) [-1921.523] (-1913.877) * (-1929.252) (-1913.550) [-1909.447] (-1914.470) -- 0:00:07
987000 -- [-1921.731] (-1920.456) (-1922.302) (-1919.250) * (-1925.332) (-1916.010) [-1916.665] (-1911.575) -- 0:00:06
988000 -- (-1927.097) [-1916.759] (-1931.267) (-1921.067) * (-1928.601) (-1921.796) [-1910.826] (-1915.417) -- 0:00:06
989000 -- (-1914.308) (-1918.131) [-1916.946] (-1944.477) * [-1924.374] (-1910.910) (-1923.784) (-1927.568) -- 0:00:05
990000 -- (-1921.327) [-1914.587] (-1924.736) (-1934.178) * [-1909.597] (-1924.680) (-1932.111) (-1937.247) -- 0:00:05
Average standard deviation of split frequencies: 0.009764
991000 -- [-1909.965] (-1919.872) (-1921.393) (-1925.109) * (-1922.378) (-1936.840) [-1910.540] (-1926.827) -- 0:00:04
992000 -- [-1905.682] (-1922.669) (-1944.173) (-1925.549) * (-1929.892) (-1904.465) [-1903.100] (-1926.144) -- 0:00:04
993000 -- [-1915.987] (-1916.719) (-1924.187) (-1917.561) * (-1928.266) (-1921.144) [-1914.125] (-1938.368) -- 0:00:03
994000 -- (-1920.617) (-1924.859) (-1938.639) [-1918.380] * (-1926.510) [-1922.659] (-1908.300) (-1924.572) -- 0:00:03
995000 -- [-1918.055] (-1922.689) (-1922.591) (-1931.817) * (-1928.685) (-1926.565) [-1920.099] (-1937.058) -- 0:00:02
Average standard deviation of split frequencies: 0.009694
996000 -- [-1909.574] (-1913.632) (-1927.735) (-1936.667) * (-1915.140) [-1921.673] (-1929.169) (-1943.483) -- 0:00:02
997000 -- (-1924.564) [-1914.098] (-1928.789) (-1922.687) * (-1922.501) [-1918.762] (-1919.244) (-1919.492) -- 0:00:01
998000 -- (-1932.259) (-1925.111) (-1922.561) [-1924.578] * (-1934.771) (-1913.523) (-1927.736) [-1924.855] -- 0:00:01
999000 -- (-1920.153) (-1922.774) (-1919.409) [-1926.149] * (-1916.237) (-1917.536) [-1912.041] (-1921.710) -- 0:00:00
1000000 -- (-1922.904) (-1910.471) [-1919.298] (-1928.163) * (-1925.899) (-1916.296) (-1929.232) [-1913.983] -- 0:00:00
Average standard deviation of split frequencies: 0.009684
Analysis completed in 8 mins 50 seconds
Analysis used 529.08 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1896.75
Likelihood of best state for "cold" chain of run 2 was -1897.72
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
55.7 % ( 49 %) Dirichlet(Revmat{all})
77.6 % ( 69 %) Slider(Revmat{all})
24.5 % ( 31 %) Dirichlet(Pi{all})
27.0 % ( 28 %) Slider(Pi{all})
82.1 % ( 55 %) Multiplier(Alpha{1,2})
72.6 % ( 35 %) Multiplier(Alpha{3})
86.1 % ( 76 %) Slider(Pinvar{all})
62.6 % ( 63 %) ExtSPR(Tau{all},V{all})
54.3 % ( 53 %) ExtTBR(Tau{all},V{all})
69.9 % ( 65 %) NNI(Tau{all},V{all})
49.3 % ( 40 %) ParsSPR(Tau{all},V{all})
27.4 % ( 22 %) Multiplier(V{all})
74.6 % ( 80 %) Nodeslider(V{all})
26.3 % ( 32 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
56.1 % ( 54 %) Dirichlet(Revmat{all})
77.4 % ( 67 %) Slider(Revmat{all})
24.6 % ( 31 %) Dirichlet(Pi{all})
27.3 % ( 28 %) Slider(Pi{all})
82.2 % ( 60 %) Multiplier(Alpha{1,2})
72.8 % ( 44 %) Multiplier(Alpha{3})
86.4 % ( 77 %) Slider(Pinvar{all})
62.5 % ( 56 %) ExtSPR(Tau{all},V{all})
54.3 % ( 51 %) ExtTBR(Tau{all},V{all})
69.6 % ( 69 %) NNI(Tau{all},V{all})
48.9 % ( 59 %) ParsSPR(Tau{all},V{all})
27.4 % ( 23 %) Multiplier(V{all})
74.7 % ( 76 %) Nodeslider(V{all})
26.1 % ( 22 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.45 0.13 0.03
2 | 166866 0.45 0.14
3 | 166506 167113 0.47
4 | 166388 166500 166627
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.44 0.13 0.02
2 | 166894 0.46 0.14
3 | 166389 166353 0.47
4 | 166705 166966 166693
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)
+------------------------------------------------------------+ -1913.12
| 2 2 |
| 1 1 2 |
|1 12 2 2 2 211 2 |
| 2 1 2 * 1 * 1 2 2 * |
| 21 2 1 2 1 2 2 2 2 12 1 1 |
| * 1 2 1 2 1 1 2 2 2121 11 11 1 1 2 |
| 2 2 1 1 1 2 22 2|
| 1 2 1 2 1 1 2 22 21 1|
|2 1 21 2 2 1 21 1 112 2 1 |
| 1 1 2 2 2 2 1 12 2 |
| 2 1 2 |
| 21 1 1 |
| |
| 1 1 1 |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1919.85
^ ^
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 -1907.34 -1928.35
2 -1907.15 -1933.14
--------------------------------------
TOTAL -1907.24 -1932.46
--------------------------------------
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} 0.044458 0.000058 0.030498 0.060222 0.044066 1469.73 1485.37 1.000
r(A<->C){all} 0.022776 0.000504 0.000001 0.066924 0.016076 573.28 583.16 1.000
r(A<->G){all} 0.148856 0.002745 0.055768 0.253536 0.142748 490.18 534.67 1.000
r(A<->T){all} 0.028884 0.000434 0.000048 0.067727 0.024425 657.48 689.93 1.000
r(C<->G){all} 0.025979 0.000639 0.000005 0.075452 0.018620 622.83 623.62 1.000
r(C<->T){all} 0.702477 0.004497 0.562480 0.826628 0.704738 481.69 579.31 1.001
r(G<->T){all} 0.071028 0.001212 0.011158 0.137789 0.065600 601.98 620.02 1.000
pi(A){all} 0.265678 0.000166 0.242060 0.291925 0.265588 1097.09 1162.79 1.000
pi(C){all} 0.205806 0.000131 0.183659 0.227648 0.205512 1157.09 1200.75 1.001
pi(G){all} 0.208470 0.000143 0.186076 0.232568 0.208702 1025.66 1078.63 1.000
pi(T){all} 0.320047 0.000183 0.292861 0.345476 0.320104 918.40 958.19 1.000
alpha{1,2} 0.613515 0.611067 0.000098 2.187750 0.322462 912.81 936.66 1.000
alpha{3} 1.293533 1.149110 0.001255 3.455173 0.997800 985.37 1006.10 1.000
pinvar{all} 0.458203 0.043453 0.038230 0.787972 0.486538 737.73 740.27 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- 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 -- .***..***...................*.
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 2855 0.951033 0.002355 0.949367 0.952698 2
36 2539 0.845769 0.004240 0.842771 0.848767 2
37 2482 0.826782 0.018844 0.813458 0.840107 2
38 2228 0.742172 0.021670 0.726849 0.757495 2
39 2024 0.674217 0.031092 0.652232 0.696203 2
40 1036 0.345103 0.020728 0.330446 0.359760 2
41 979 0.326116 0.011777 0.317788 0.334444 2
42 956 0.318454 0.011306 0.310460 0.326449 2
43 423 0.140906 0.017430 0.128581 0.153231 2
44 408 0.135909 0.013191 0.126582 0.145237 2
45 398 0.132578 0.011306 0.124584 0.140573 2
46 379 0.126249 0.001413 0.125250 0.127249 2
47 372 0.123917 0.005653 0.119920 0.127915 2
48 365 0.121586 0.014604 0.111259 0.131912 2
49 358 0.119254 0.005653 0.115256 0.123251 2
50 337 0.112258 0.011777 0.103931 0.120586 2
51 333 0.110926 0.008009 0.105263 0.116589 2
52 333 0.110926 0.003298 0.108594 0.113258 2
53 324 0.107928 0.001884 0.106596 0.109260 2
54 321 0.106929 0.005182 0.103264 0.110593 2
55 307 0.102265 0.013662 0.092605 0.111925 2
56 298 0.099267 0.006595 0.094604 0.103931 2
57 278 0.092605 0.019786 0.078614 0.106596 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] 0.001289 0.000001 0.000103 0.002840 0.001110 1.000 2
length{all}[2] 0.000910 0.000000 0.000014 0.002208 0.000757 1.000 2
length{all}[3] 0.000423 0.000000 0.000000 0.001291 0.000292 1.000 2
length{all}[4] 0.000430 0.000000 0.000000 0.001340 0.000278 1.000 2
length{all}[5] 0.001709 0.000001 0.000334 0.003551 0.001526 1.000 2
length{all}[6] 0.001305 0.000001 0.000113 0.002802 0.001149 1.000 2
length{all}[7] 0.000424 0.000000 0.000000 0.001311 0.000294 1.001 2
length{all}[8] 0.000422 0.000000 0.000000 0.001277 0.000292 1.000 2
length{all}[9] 0.000439 0.000000 0.000000 0.001322 0.000287 1.000 2
length{all}[10] 0.000438 0.000000 0.000000 0.001357 0.000288 1.001 2
length{all}[11] 0.001700 0.000001 0.000233 0.003511 0.001508 1.000 2
length{all}[12] 0.000429 0.000000 0.000000 0.001261 0.000295 1.000 2
length{all}[13] 0.000430 0.000000 0.000000 0.001287 0.000293 1.000 2
length{all}[14] 0.000441 0.000000 0.000000 0.001361 0.000286 1.000 2
length{all}[15] 0.001728 0.000001 0.000267 0.003543 0.001526 1.002 2
length{all}[16] 0.000871 0.000000 0.000031 0.002085 0.000729 1.000 2
length{all}[17] 0.000825 0.000000 0.000006 0.002035 0.000666 1.000 2
length{all}[18] 0.000851 0.000000 0.000022 0.002055 0.000709 1.000 2
length{all}[19] 0.001300 0.000001 0.000079 0.002812 0.001137 1.000 2
length{all}[20] 0.000418 0.000000 0.000000 0.001244 0.000293 1.000 2
length{all}[21] 0.000486 0.000000 0.000000 0.001498 0.000334 1.001 2
length{all}[22] 0.000439 0.000000 0.000001 0.001309 0.000308 1.000 2
length{all}[23] 0.000413 0.000000 0.000000 0.001267 0.000281 1.000 2
length{all}[24] 0.000844 0.000000 0.000005 0.002002 0.000698 1.000 2
length{all}[25] 0.000413 0.000000 0.000000 0.001249 0.000283 1.000 2
length{all}[26] 0.000429 0.000000 0.000000 0.001247 0.000303 1.002 2
length{all}[27] 0.000976 0.000000 0.000014 0.002304 0.000816 1.000 2
length{all}[28] 0.002116 0.000001 0.000397 0.004031 0.001965 1.000 2
length{all}[29] 0.000854 0.000000 0.000005 0.002066 0.000709 1.003 2
length{all}[30] 0.001865 0.000001 0.000415 0.003821 0.001695 1.000 2
length{all}[31] 0.001834 0.000001 0.000275 0.003676 0.001673 1.001 2
length{all}[32] 0.001738 0.000001 0.000276 0.003601 0.001552 1.000 2
length{all}[33] 0.001834 0.000001 0.000292 0.003711 0.001659 1.000 2
length{all}[34] 0.001786 0.000001 0.000313 0.003596 0.001612 1.000 2
length{all}[35] 0.000866 0.000000 0.000009 0.002117 0.000728 1.000 2
length{all}[36] 0.000857 0.000000 0.000006 0.002075 0.000703 1.000 2
length{all}[37] 0.000831 0.000000 0.000010 0.002062 0.000686 1.000 2
length{all}[38] 0.000856 0.000000 0.000014 0.002018 0.000716 1.000 2
length{all}[39] 0.000861 0.000000 0.000032 0.002102 0.000732 1.000 2
length{all}[40] 0.000448 0.000000 0.000000 0.001351 0.000290 1.002 2
length{all}[41] 0.000425 0.000000 0.000000 0.001265 0.000286 1.000 2
length{all}[42] 0.000422 0.000000 0.000001 0.001258 0.000283 1.000 2
length{all}[43] 0.000427 0.000000 0.000000 0.001296 0.000271 0.998 2
length{all}[44] 0.000408 0.000000 0.000002 0.001313 0.000279 0.998 2
length{all}[45] 0.000435 0.000000 0.000001 0.001290 0.000304 1.000 2
length{all}[46] 0.000416 0.000000 0.000001 0.001268 0.000286 0.997 2
length{all}[47] 0.000424 0.000000 0.000001 0.001346 0.000286 0.997 2
length{all}[48] 0.000463 0.000000 0.000001 0.001469 0.000305 0.998 2
length{all}[49] 0.000407 0.000000 0.000003 0.001220 0.000281 0.997 2
length{all}[50] 0.000432 0.000000 0.000001 0.001394 0.000302 0.999 2
length{all}[51] 0.000434 0.000000 0.000000 0.001296 0.000308 1.003 2
length{all}[52] 0.000410 0.000000 0.000000 0.001242 0.000289 0.999 2
length{all}[53] 0.000412 0.000000 0.000002 0.001169 0.000279 0.997 2
length{all}[54] 0.000424 0.000000 0.000001 0.001245 0.000284 0.999 2
length{all}[55] 0.000866 0.000000 0.000008 0.002128 0.000733 0.997 2
length{all}[56] 0.000402 0.000000 0.000001 0.001230 0.000291 0.999 2
length{all}[57] 0.000431 0.000000 0.000004 0.001252 0.000323 1.002 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.009684
Maximum standard deviation of split frequencies = 0.031092
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.003
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
| /-------------- C15 (5)
| |
| |-------------- C2 (6)
| |
| |-------------- C23 (10)
| |
| |-------------- C26 (12)
| |
| /------85-----+-------------- C28 (13)
| | |
| | |-------------- C37 (18)
| | |
| | |-------------- C40 (19)
| /-----100-----+ |
| | | |-------------- C42 (20)
| | | |
| | | \-------------- C46 (22)
| | |
| | \---------------------------- C45 (21)
| |
| | /-------------- C24 (11)
| |------------100------------+
| | \-------------- C36 (17)
| |
| |------------------------------------------ C3 (14)
+ /------74-----+
| | |------------------------------------------ C33 (15)
| | |
| | |------------------------------------------ C34 (16)
| | |
| | |------------------------------------------ C51 (24)
| | |
|-----100-----+ |------------------------------------------ C52 (25)
| | |
| | |------------------------------------------ C54 (26)
| | |
| | \------------------------------------------ C6 (28)
| |
| \-------------------------------------------------------- C58 (27)
|
| /-------------- C10 (2)
| /------83-----+
| | \-------------- C8 (29)
| |
| |---------------------------- C11 (3)
| |
| |---------------------------- C14 (4)
| |
| /------67-----+ /-------------- C20 (7)
| | | |
| | |------95-----+-------------- C21 (8)
| | | |
\------------100------------+ | \-------------- C22 (9)
| |
| \---------------------------- C5 (23)
|
\------------------------------------------ C9 (30)
Phylogram (based on average branch lengths):
/------------- C1 (1)
|
| /----------------- C15 (5)
| |
| |------------- C2 (6)
| |
| |--- C23 (10)
| |
| |--- C26 (12)
| |
| /-------+--- C28 (13)
| | |
| | |-------- C37 (18)
| | |
| | |------------- C40 (19)
| /------------------+ |
| | | |--- C42 (20)
| | | |
| | | \--- C46 (22)
| | |
| | \--- C45 (21)
| |
| | /----------------- C24 (11)
| |-----------------+
| | \------- C36 (17)
| |
| |--- C3 (14)
+ /-------+
| | |------------------ C33 (15)
| | |
| | |--------- C34 (16)
| | |
| | |-------- C51 (24)
| | |
|------------------+ |--- C52 (25)
| | |
| | |---- C54 (26)
| | |
| | \----------------------- C6 (28)
| |
| \--------- C58 (27)
|
| /--------- C10 (2)
| /-------+
| | \-------- C8 (29)
| |
| |---- C11 (3)
| |
| |--- C14 (4)
| |
| /-------+ /--- C20 (7)
| | | |
| | |--------+--- C21 (8)
| | | |
\------------------+ | \--- C22 (9)
| |
| \--- C5 (23)
|
\------------------- C9 (30)
|----------| 0.001 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 Sat Nov 05 01:39:54 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
-- Starting log on Sat Nov 05 04:16:23 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml,NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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 1131 sites
reading seq# 2 C2 1131 sites
reading seq# 3 C34 1131 sites
reading seq# 4 C9 1131 sites
reading seq# 5 C5 1131 sites
reading seq# 6 C1 1131 sites
reading seq# 7 C42 1131 sites
reading seq# 8 C33 1131 sites
reading seq# 9 C11 1131 sites
reading seq#10 C23 1131 sites
reading seq#11 C20 1131 sites
reading seq#12 C45 1131 sites
reading seq#13 C22 1131 sites
reading seq#14 C54 1131 sites
reading seq#15 C21 1131 sites
reading seq#16 C28 1131 sites
reading seq#17 C3 1131 sites
reading seq#18 C58 1131 sites
reading seq#19 C10 1131 sites
reading seq#20 C14 1131 sites
reading seq#21 C46 1131 sites
reading seq#22 C8 1131 sites
reading seq#23 C15 1131 sites
reading seq#24 C26 1131 sites
reading seq#25 C51 1131 sites
reading seq#26 C40 1131 sites
reading seq#27 C36 1131 sites
reading seq#28 C6 1131 sites
reading seq#29 C37 1131 sites
reading seq#30 C24 1131 sitesns = 30 ls = 1131
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, 93 patterns at 377 / 377 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 93 patterns at 377 / 377 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
90768 bytes for conP
8184 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
453840 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.035659 0.027779 0.097315 0.091203 0.108544 0.017641 0.063810 0.028087 0.056851 0.066219 0.087193 0.026061 0.026456 0.090899 0.042770 0.074990 0.095979 0.077474 0.054900 0.040623 0.019433 0.045855 0.073577 0.024599 0.019162 0.100852 0.063017 0.061848 0.021256 0.066442 0.081955 0.091345 0.100644 0.076974 0.010321 0.011123 0.078029 0.073746 0.051994 0.300000 0.874082 0.479390
ntime & nrate & np: 39 2 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 11.422911
np = 42
lnL0 = -2521.751547
Iterating by ming2
Initial: fx= 2521.751547
x= 0.03566 0.02778 0.09732 0.09120 0.10854 0.01764 0.06381 0.02809 0.05685 0.06622 0.08719 0.02606 0.02646 0.09090 0.04277 0.07499 0.09598 0.07747 0.05490 0.04062 0.01943 0.04585 0.07358 0.02460 0.01916 0.10085 0.06302 0.06185 0.02126 0.06644 0.08196 0.09134 0.10064 0.07697 0.01032 0.01112 0.07803 0.07375 0.05199 0.30000 0.87408 0.47939
1 h-m-p 0.0000 0.0000 1944.9485 ++ 2406.866131 m 0.0000 47 | 1/42
2 h-m-p 0.0000 0.0000 11018.0798 ++ 2399.506964 m 0.0000 92 | 2/42
3 h-m-p 0.0000 0.0000 94437.7055 ++ 2283.476713 m 0.0000 137 | 3/42
4 h-m-p 0.0000 0.0000 18165.0968 ++ 2267.607678 m 0.0000 182 | 4/42
5 h-m-p 0.0000 0.0000 3308.8063 ++ 2254.446684 m 0.0000 227 | 5/42
6 h-m-p 0.0000 0.0000 4417.5545 ++ 2148.539521 m 0.0000 272 | 6/42
7 h-m-p 0.0000 0.0000 11374.9825 ++ 2071.040408 m 0.0000 317 | 7/42
8 h-m-p 0.0000 0.0000 4782.3287 ++ 2061.302547 m 0.0000 362 | 8/42
9 h-m-p 0.0000 0.0000 23094.7521 ++ 2018.420145 m 0.0000 407 | 9/42
10 h-m-p 0.0000 0.0000 19076.8935 ++ 1990.332385 m 0.0000 452 | 10/42
11 h-m-p 0.0000 0.0000 7296351.4463 ++ 1989.627209 m 0.0000 497 | 11/42
12 h-m-p 0.0000 0.0000 8084.9745 ++ 1978.293828 m 0.0000 542 | 12/42
13 h-m-p 0.0000 0.0000 43538.2817 ++ 1977.947381 m 0.0000 587 | 12/42
14 h-m-p 0.0000 0.0000 8620.4214
h-m-p: 0.00000000e+00 0.00000000e+00 8.62042142e+03 1977.947381
.. | 12/42
15 h-m-p 0.0000 0.0000 1455.4951 ++ 1910.590046 m 0.0000 674 | 13/42
16 h-m-p 0.0000 0.0000 73319.3597 ++ 1907.779983 m 0.0000 719 | 14/42
17 h-m-p 0.0000 0.0000 6030.0418 +CYYYCCCC 1888.175495 7 0.0000 776 | 14/42
18 h-m-p 0.0000 0.0000 7196.6624 ++ 1884.178755 m 0.0000 821 | 15/42
19 h-m-p 0.0000 0.0000 8257.5317 +YYYYCCCCC 1880.478203 8 0.0000 879 | 15/42
20 h-m-p 0.0000 0.0000 12825.5146 +YYYCYCCC 1876.495749 7 0.0000 935 | 15/42
21 h-m-p 0.0000 0.0000 8767.9520 +YYYCYCCC 1868.566550 7 0.0000 991 | 15/42
22 h-m-p 0.0000 0.0000 1572.3821 +YYYCCC 1865.590660 5 0.0000 1044 | 15/42
23 h-m-p 0.0000 0.0000 1821.2037 +YCYCC 1863.863131 4 0.0000 1096 | 15/42
24 h-m-p 0.0000 0.0000 800.7065 YCCCC 1863.261686 4 0.0000 1148 | 15/42
25 h-m-p 0.0000 0.0000 662.2795 CCCC 1862.521726 3 0.0000 1199 | 15/42
26 h-m-p 0.0000 0.0000 275.9925 CYCCC 1862.392586 4 0.0000 1251 | 15/42
27 h-m-p 0.0000 0.0000 756.2181 CCCC 1861.965563 3 0.0000 1302 | 15/42
28 h-m-p 0.0000 0.0001 297.5622 ++ 1860.295074 m 0.0001 1347 | 16/42
29 h-m-p 0.0000 0.0001 4041.0463 +YCCYCC 1840.735220 5 0.0001 1402 | 16/42
30 h-m-p 0.0000 0.0000 78311.8395 +YCYCCC 1833.735707 5 0.0000 1456 | 16/42
31 h-m-p 0.0000 0.0000 10495.4157 CCCC 1832.419245 3 0.0000 1507 | 16/42
32 h-m-p 0.0000 0.0000 894.2912 CCCC 1831.869045 3 0.0000 1558 | 15/42
33 h-m-p 0.0000 0.0000 2547.8443 YCCC 1828.893878 3 0.0000 1608 | 15/42
34 h-m-p 0.0000 0.0000 1064.8770 CCC 1828.585312 2 0.0000 1657 | 15/42
35 h-m-p 0.0000 0.0001 333.8566 YC 1828.147779 1 0.0000 1703 | 15/42
36 h-m-p 0.0000 0.0003 291.4168 YCCC 1827.436399 3 0.0001 1753 | 15/42
37 h-m-p 0.0000 0.0001 817.3371 +YYYCCC 1825.201048 5 0.0001 1806 | 15/42
38 h-m-p 0.0000 0.0000 10507.2512 +YYCCC 1821.985904 4 0.0000 1858 | 15/42
39 h-m-p 0.0000 0.0001 297.4047 CYCCC 1821.701338 4 0.0000 1910 | 15/42
40 h-m-p 0.0000 0.0002 54.9214 YCC 1821.651800 2 0.0000 1958 | 15/42
41 h-m-p 0.0000 0.0139 40.5124 ++YYCCC 1820.011856 4 0.0007 2011 | 15/42
42 h-m-p 0.0004 0.0020 14.9086 -CC 1820.008308 1 0.0000 2059 | 15/42
43 h-m-p 0.0020 0.9775 0.3195 ++++CCYC 1813.589730 3 0.7816 2114 | 15/42
44 h-m-p 0.2690 1.3448 0.3989 +YYYCYCCC 1806.868345 7 1.1336 2197 | 15/42
45 h-m-p 0.3708 1.8542 1.1674 CCCCC 1803.866172 4 0.3396 2277 | 15/42
46 h-m-p 0.5621 2.8107 0.3119 +YYYCCC 1800.031997 5 2.0337 2330 | 15/42
47 h-m-p 0.5968 2.9841 0.3699 +YCCCC 1797.759508 4 1.7524 2410 | 15/42
48 h-m-p 0.6734 3.3668 0.4471 CCCC 1796.497189 3 1.0725 2488 | 15/42
49 h-m-p 0.8144 4.0722 0.2752 YCYC 1795.361486 3 1.7114 2564 | 15/42
50 h-m-p 0.7768 3.8842 0.3219 YCCCC 1794.305576 4 1.8526 2643 | 15/42
51 h-m-p 0.6328 3.1639 0.3704 CCC 1793.683490 2 0.8167 2719 | 15/42
52 h-m-p 0.5741 2.8705 0.2875 YCCCC 1793.194667 4 1.1673 2798 | 15/42
53 h-m-p 1.6000 8.0000 0.1744 CCCC 1792.822329 3 2.3089 2876 | 15/42
54 h-m-p 1.1154 8.0000 0.3609 YCCC 1792.447003 3 2.2641 2953 | 15/42
55 h-m-p 1.6000 8.0000 0.1312 +YCCC 1791.920111 3 4.1782 3031 | 15/42
56 h-m-p 1.6000 8.0000 0.3199 YCCC 1791.248441 3 3.7866 3108 | 15/42
57 h-m-p 0.9947 4.9734 0.1717 +YCCC 1790.717134 3 2.7636 3186 | 15/42
58 h-m-p 0.4302 2.1510 0.1359 ++ 1790.432196 m 2.1510 3258 | 16/42
59 h-m-p 0.7634 3.8170 0.3152 CCCC 1790.215345 3 1.1079 3336 | 15/42
60 h-m-p 0.0075 0.0374 22.9456 --C 1790.215303 0 0.0002 3409 | 15/42
61 h-m-p 0.0132 0.2716 0.2889 +++ 1790.098532 m 0.2716 3455 | 16/42
62 h-m-p 0.1401 6.0624 0.5601 +YC 1789.900433 1 1.2905 3529 | 16/42
63 h-m-p 1.6000 8.0000 0.0701 YC 1789.828394 1 2.8048 3601 | 16/42
64 h-m-p 1.6000 8.0000 0.0314 YCC 1789.795230 2 2.5119 3675 | 16/42
65 h-m-p 1.5842 8.0000 0.0499 +YC 1789.758854 1 4.0619 3748 | 16/42
66 h-m-p 1.6000 8.0000 0.0054 CC 1789.743658 1 2.2198 3821 | 16/42
67 h-m-p 0.8899 8.0000 0.0134 +CC 1789.730297 1 3.9303 3895 | 16/42
68 h-m-p 0.9190 8.0000 0.0575 +CC 1789.712613 1 3.8917 3969 | 16/42
69 h-m-p 1.6000 8.0000 0.1009 YC 1789.688509 1 3.7277 4041 | 16/42
70 h-m-p 1.6000 8.0000 0.0252 +YC 1789.650120 1 5.4382 4114 | 16/42
71 h-m-p 1.2835 8.0000 0.1066 +YC 1789.558560 1 4.3360 4187 | 16/42
72 h-m-p 1.6000 8.0000 0.1295 CC 1789.539447 1 1.9720 4260 | 16/42
73 h-m-p 1.6000 8.0000 0.0762 YC 1789.519276 1 3.6390 4332 | 16/42
74 h-m-p 1.6000 8.0000 0.0531 YC 1789.497502 1 3.0626 4404 | 16/42
75 h-m-p 1.6000 8.0000 0.0428 YC 1789.470656 1 3.3128 4476 | 16/42
76 h-m-p 0.7893 8.0000 0.1797 YC 1789.458261 1 1.7542 4548 | 16/42
77 h-m-p 1.6000 8.0000 0.0234 CC 1789.452868 1 1.9216 4621 | 16/42
78 h-m-p 1.6000 8.0000 0.0108 YC 1789.449070 1 2.5956 4693 | 16/42
79 h-m-p 1.6000 8.0000 0.0145 YC 1789.445540 1 3.4818 4765 | 16/42
80 h-m-p 1.3340 8.0000 0.0378 YC 1789.443853 1 2.2876 4837 | 16/42
81 h-m-p 1.6000 8.0000 0.0107 YC 1789.442279 1 3.8170 4909 | 16/42
82 h-m-p 1.6000 8.0000 0.0228 +YC 1789.439158 1 4.9302 4982 | 16/42
83 h-m-p 1.2207 8.0000 0.0920 +CC 1789.432791 1 4.3823 5056 | 16/42
84 h-m-p 1.6000 8.0000 0.0150 CC 1789.428899 1 2.3199 5129 | 16/42
85 h-m-p 1.0619 8.0000 0.0328 +C 1789.425821 0 4.0596 5201 | 16/42
86 h-m-p 1.5654 8.0000 0.0851 CC 1789.423849 1 2.4562 5274 | 16/42
87 h-m-p 1.6000 8.0000 0.0239 CC 1789.423196 1 2.1575 5347 | 16/42
88 h-m-p 1.6000 8.0000 0.0151 YC 1789.422644 1 3.9404 5419 | 16/42
89 h-m-p 1.6000 8.0000 0.0054 CC 1789.422273 1 2.5353 5492 | 16/42
90 h-m-p 0.5276 8.0000 0.0260 +C 1789.422154 0 2.2107 5564 | 16/42
91 h-m-p 1.6000 8.0000 0.0062 C 1789.422139 0 1.4645 5635 | 16/42
92 h-m-p 1.6000 8.0000 0.0010 Y 1789.422139 0 1.0266 5706 | 16/42
93 h-m-p 1.6000 8.0000 0.0000 C 1789.422139 0 1.3111 5777 | 16/42
94 h-m-p 1.0617 8.0000 0.0000 +Y 1789.422139 0 3.0650 5849 | 16/42
95 h-m-p 1.5087 8.0000 0.0000 -Y 1789.422139 0 0.0943 5921 | 16/42
96 h-m-p 0.0838 8.0000 0.0000 --C 1789.422139 0 0.0015 5994
Out..
lnL = -1789.422139
5995 lfun, 17985 eigenQcodon, 467610 P(t)
end of tree file.
Time used: 2:23
Model 2: PositiveSelection
TREE # 1
(6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.030388 0.018315 0.091566 0.095637 0.105497 0.072050 0.062460 0.073364 0.095943 0.086495 0.069083 0.105965 0.039312 0.049395 0.095467 0.015232 0.088897 0.016383 0.047171 0.051850 0.059686 0.093613 0.102495 0.036581 0.018791 0.104289 0.035473 0.090797 0.068736 0.068751 0.096578 0.073562 0.047066 0.102843 0.012084 0.017438 0.040691 0.014215 0.038010 13.452492 1.002157 0.492125 0.265068 1.480967
ntime & nrate & np: 39 3 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 1.359533
np = 44
lnL0 = -2346.823131
Iterating by ming2
Initial: fx= 2346.823131
x= 0.03039 0.01831 0.09157 0.09564 0.10550 0.07205 0.06246 0.07336 0.09594 0.08650 0.06908 0.10597 0.03931 0.04940 0.09547 0.01523 0.08890 0.01638 0.04717 0.05185 0.05969 0.09361 0.10249 0.03658 0.01879 0.10429 0.03547 0.09080 0.06874 0.06875 0.09658 0.07356 0.04707 0.10284 0.01208 0.01744 0.04069 0.01422 0.03801 13.45249 1.00216 0.49213 0.26507 1.48097
1 h-m-p 0.0000 0.0001 1372.0006 ++ 2250.380826 m 0.0001 49 | 1/44
2 h-m-p 0.0000 0.0000 6150.9711 ++ 2237.232240 m 0.0000 96 | 2/44
3 h-m-p 0.0000 0.0000 5530668.1491 ++ 2217.841522 m 0.0000 143 | 3/44
4 h-m-p 0.0000 0.0000 117044.5045 ++ 2103.776660 m 0.0000 190 | 4/44
5 h-m-p 0.0000 0.0000 5166.0863 ++ 2087.568771 m 0.0000 237 | 5/44
6 h-m-p 0.0000 0.0000 2970.2622 ++ 2080.943033 m 0.0000 284 | 6/44
7 h-m-p 0.0000 0.0000 2728.9968 ++ 2049.446363 m 0.0000 331 | 7/44
8 h-m-p 0.0000 0.0000 70522.1355 ++ 2046.986995 m 0.0000 378 | 8/44
9 h-m-p 0.0000 0.0000 5077.8594 ++ 2036.920677 m 0.0000 425 | 9/44
10 h-m-p 0.0000 0.0000 4984.4376 ++ 1976.875329 m 0.0000 472 | 9/44
11 h-m-p 0.0000 0.0000 4103.6867
h-m-p: 2.33758470e-21 1.16879235e-20 4.10368672e+03 1976.875329
.. | 9/44
12 h-m-p 0.0000 0.0000 1332.7293 ++ 1930.800476 m 0.0000 563 | 10/44
13 h-m-p 0.0000 0.0000 5866.6197 ++ 1928.246858 m 0.0000 610 | 11/44
14 h-m-p 0.0000 0.0000 49363.0577 ++ 1873.333139 m 0.0000 657 | 12/44
15 h-m-p 0.0000 0.0000 11273.5302 ++ 1844.290219 m 0.0000 704 | 13/44
16 h-m-p 0.0000 0.0000 8082.6419 ++ 1841.633653 m 0.0000 751 | 14/44
17 h-m-p 0.0000 0.0000 11001.4034 +YYYCCC 1840.040425 5 0.0000 806 | 14/44
18 h-m-p 0.0000 0.0000 1685.6894 ++ 1830.734450 m 0.0000 853 | 15/44
19 h-m-p 0.0000 0.0000 1330.4650 +YYCYCCC 1820.706953 6 0.0000 910 | 15/44
20 h-m-p 0.0000 0.0000 1235.2430 +YCYCCC 1819.292314 5 0.0000 966 | 15/44
21 h-m-p 0.0000 0.0000 1134.1041 YCCCC 1817.337056 4 0.0000 1020 | 15/44
22 h-m-p 0.0000 0.0000 506.4414 YCCCC 1816.455507 4 0.0000 1074 | 15/44
23 h-m-p 0.0000 0.0001 215.9299 CCCC 1816.227275 3 0.0000 1127 | 15/44
24 h-m-p 0.0000 0.0001 99.8861 YCC 1816.176265 2 0.0000 1177 | 15/44
25 h-m-p 0.0000 0.0003 37.1120 YC 1816.155277 1 0.0000 1225 | 15/44
26 h-m-p 0.0000 0.0005 53.9692 ++YYC 1815.836729 2 0.0002 1276 | 15/44
27 h-m-p 0.0000 0.0000 765.1346 CYCCC 1815.470360 4 0.0000 1330 | 15/44
28 h-m-p 0.0000 0.0000 792.3765 YCYCCC 1814.968592 5 0.0000 1385 | 15/44
29 h-m-p 0.0000 0.0001 272.4409 CCCC 1814.889563 3 0.0000 1438 | 15/44
30 h-m-p 0.0000 0.0001 178.8897 YCC 1814.846070 2 0.0000 1488 | 15/44
31 h-m-p 0.0000 0.0003 58.1035 CYC 1814.816698 2 0.0000 1538 | 15/44
32 h-m-p 0.0000 0.0011 150.6560 ++++ 1810.917012 m 0.0011 1587 | 16/44
33 h-m-p 0.0000 0.0001 3272.7934 +YYCYC 1809.439777 4 0.0000 1640 | 16/44
34 h-m-p 0.0000 0.0001 2116.4778 CYCCC 1808.937706 4 0.0000 1694 | 16/44
35 h-m-p 0.0000 0.0002 258.3581 YC 1808.885464 1 0.0000 1742 | 16/44
36 h-m-p 0.0000 0.0002 216.2889 YCC 1808.847362 2 0.0000 1792 | 16/44
37 h-m-p 0.0000 0.0007 162.1285 YCC 1808.785295 2 0.0001 1842 | 16/44
38 h-m-p 0.0001 0.0045 111.2496 +++ 1803.807006 m 0.0045 1890 | 17/44
39 h-m-p 0.0012 0.0062 11.9477 CCC 1803.787359 2 0.0003 1941 | 17/44
40 h-m-p 0.0000 0.0053 69.9954 +++YCYCCC 1801.352599 5 0.0041 2000 | 17/44
41 h-m-p 0.0155 0.0832 18.5378 CYC 1799.866798 2 0.0197 2050 | 17/44
42 h-m-p 0.3101 1.5964 1.1763 YCCC 1794.361448 3 0.6597 2102 | 17/44
43 h-m-p 0.1507 0.7533 0.8901 YCYCCC 1791.268713 5 0.4053 2157 | 17/44
44 h-m-p 0.3360 1.6801 0.2588 CCCC 1790.541442 3 0.5176 2237 | 17/44
45 h-m-p 0.2841 1.4206 0.1132 CCCC 1790.177412 3 0.3878 2317 | 17/44
46 h-m-p 0.9876 8.0000 0.0445 CCC 1789.978956 2 1.3134 2395 | 16/44
47 h-m-p 0.3430 7.3897 0.1702 +YCC 1789.764546 2 1.0779 2473 | 16/44
48 h-m-p 1.0021 5.0103 0.0763 YCC 1789.614425 2 1.6785 2551 | 16/44
49 h-m-p 1.5648 8.0000 0.0819 CYC 1789.514794 2 1.7424 2629 | 16/44
50 h-m-p 1.2932 8.0000 0.1103 CCC 1789.449829 2 1.0617 2708 | 16/44
51 h-m-p 1.3347 8.0000 0.0877 YC 1789.430909 1 0.8831 2784 | 16/44
52 h-m-p 1.6000 8.0000 0.0274 YC 1789.425038 1 1.1136 2860 | 16/44
53 h-m-p 1.6000 8.0000 0.0090 C 1789.424022 0 1.7328 2935 | 16/44
54 h-m-p 1.6000 8.0000 0.0060 CC 1789.423076 1 2.4255 3012 | 16/44
55 h-m-p 1.3423 8.0000 0.0108 CC 1789.422241 1 1.8275 3089 | 16/44
56 h-m-p 1.6000 8.0000 0.0049 C 1789.421908 0 1.7820 3164 | 16/44
57 h-m-p 1.6000 8.0000 0.0049 C 1789.421750 0 1.6978 3239 | 16/44
58 h-m-p 1.6000 8.0000 0.0032 C 1789.421673 0 1.5669 3314 | 16/44
59 h-m-p 1.3159 8.0000 0.0038 YC 1789.421588 1 2.7044 3390 | 16/44
60 h-m-p 1.6000 8.0000 0.0051 YC 1789.421454 1 3.4430 3466 | 16/44
61 h-m-p 1.6000 8.0000 0.0084 C 1789.421314 0 2.0575 3541 | 16/44
62 h-m-p 1.6000 8.0000 0.0036 C 1789.421278 0 1.7380 3616 | 16/44
63 h-m-p 1.6000 8.0000 0.0025 C 1789.421264 0 2.3006 3691 | 16/44
64 h-m-p 1.6000 8.0000 0.0013 C 1789.421260 0 2.3201 3766 | 16/44
65 h-m-p 1.6000 8.0000 0.0008 C 1789.421259 0 1.4734 3841 | 16/44
66 h-m-p 1.6000 8.0000 0.0004 +Y 1789.421259 0 4.7540 3917 | 16/44
67 h-m-p 1.0869 8.0000 0.0016 ++ 1789.421256 m 8.0000 3992 | 16/44
68 h-m-p 0.4670 8.0000 0.0270 +C 1789.421247 0 2.3375 4068 | 16/44
69 h-m-p 1.6000 8.0000 0.0205 C 1789.421240 0 2.1243 4143 | 16/44
70 h-m-p 1.6000 8.0000 0.0028 C 1789.421238 0 2.3935 4218 | 16/44
71 h-m-p 0.7920 8.0000 0.0086 +Y 1789.421233 0 4.9903 4294 | 16/44
72 h-m-p 1.6000 8.0000 0.0219 +Y 1789.421206 0 4.9070 4370 | 16/44
73 h-m-p 1.6000 8.0000 0.0461 C 1789.421167 0 2.3257 4445 | 16/44
74 h-m-p 0.5463 8.0000 0.1960 Y 1789.421157 0 0.2484 4520 | 16/44
75 h-m-p 1.1246 8.0000 0.0433 C 1789.421130 0 1.1246 4595 | 16/44
76 h-m-p 1.2384 8.0000 0.0393 Y 1789.421106 0 2.4412 4670 | 16/44
77 h-m-p 1.6000 8.0000 0.0420 Y 1789.421088 0 0.9920 4745 | 16/44
78 h-m-p 0.2576 8.0000 0.1617 Y 1789.421066 0 0.5323 4820 | 16/44
79 h-m-p 0.7168 8.0000 0.1201 Y 1789.421054 0 0.7168 4895 | 16/44
80 h-m-p 1.6000 8.0000 0.0101 Y 1789.421033 0 0.9741 4970 | 16/44
81 h-m-p 0.2121 8.0000 0.0462 ++Y 1789.421008 0 2.2432 5047 | 16/44
82 h-m-p 1.5755 8.0000 0.0658 Y 1789.420984 0 1.5755 5122 | 16/44
83 h-m-p 1.6000 8.0000 0.0334 C 1789.420969 0 0.6218 5197 | 16/44
84 h-m-p 0.1281 8.0000 0.1621 +C 1789.420944 0 0.5123 5273 | 16/44
85 h-m-p 0.3376 8.0000 0.2460 Y 1789.420935 0 0.1920 5348 | 16/44
86 h-m-p 0.8476 8.0000 0.0557 C 1789.420921 0 0.9887 5423 | 16/44
87 h-m-p 1.6000 8.0000 0.0258 +C 1789.420895 0 5.7391 5499 | 16/44
88 h-m-p 0.7138 8.0000 0.2077 C 1789.420887 0 0.1784 5574 | 16/44
89 h-m-p 0.3649 8.0000 0.1016 C 1789.420863 0 0.4990 5649 | 16/44
90 h-m-p 1.6000 8.0000 0.0237 C 1789.420847 0 1.7874 5724 | 16/44
91 h-m-p 0.5295 8.0000 0.0798 Y 1789.420842 0 0.5295 5799 | 16/44
92 h-m-p 0.8122 8.0000 0.0521 Y 1789.420825 0 1.3740 5874 | 16/44
93 h-m-p 1.6000 8.0000 0.0214 C 1789.420814 0 1.6000 5949 | 16/44
94 h-m-p 0.2047 8.0000 0.1673 +Y 1789.420796 0 0.5162 6025 | 16/44
95 h-m-p 0.8503 8.0000 0.1016 Y 1789.420791 0 0.3833 6100 | 16/44
96 h-m-p 1.5233 8.0000 0.0256 C 1789.420781 0 1.3270 6175 | 16/44
97 h-m-p 0.8762 8.0000 0.0387 Y 1789.420771 0 1.6108 6250 | 16/44
98 h-m-p 1.1627 8.0000 0.0536 C 1789.420756 0 1.3885 6325 | 16/44
99 h-m-p 0.9190 8.0000 0.0810 Y 1789.420750 0 0.4940 6400 | 16/44
100 h-m-p 0.5848 8.0000 0.0684 C 1789.420735 0 0.9304 6475 | 16/44
101 h-m-p 1.6000 8.0000 0.0272 +Y 1789.420715 0 4.9667 6551 | 16/44
102 h-m-p 0.8718 8.0000 0.1549 C 1789.420711 0 0.2179 6626 | 16/44
103 h-m-p 0.2406 8.0000 0.1403 Y 1789.420697 0 0.4487 6701 | 16/44
104 h-m-p 1.6000 8.0000 0.0199 ++ 1789.420679 m 8.0000 6776 | 16/44
105 h-m-p 0.0647 1.8268 2.4645 Y 1789.420661 0 0.0324 6851 | 16/44
106 h-m-p 0.5191 8.0000 0.1536 C 1789.420659 0 0.1686 6898 | 16/44
107 h-m-p 1.4401 8.0000 0.0180 C 1789.420657 0 1.2521 6973 | 16/44
108 h-m-p 1.6000 8.0000 0.0051 C 1789.420654 0 2.0294 7048 | 16/44
109 h-m-p 0.2602 8.0000 0.0401 +C 1789.420649 0 1.3989 7124 | 16/44
110 h-m-p 0.5469 8.0000 0.1025 Y 1789.420645 0 0.5469 7199 | 16/44
111 h-m-p 1.6000 8.0000 0.0337 C 1789.420636 0 2.0424 7274 | 16/44
112 h-m-p 1.3293 8.0000 0.0517 Y 1789.420631 0 1.3293 7349 | 16/44
113 h-m-p 1.6000 8.0000 0.0168 C 1789.420626 0 0.5868 7424 | 16/44
114 h-m-p 0.1990 8.0000 0.0494 +Y 1789.420620 0 1.5422 7500 | 16/44
115 h-m-p 0.9796 8.0000 0.0778 Y 1789.420614 0 0.9796 7575 | 16/44
116 h-m-p 1.6000 8.0000 0.0204 Y 1789.420610 0 0.7246 7650 | 16/44
117 h-m-p 0.1413 8.0000 0.1046 +C 1789.420605 0 0.6223 7726 | 16/44
118 h-m-p 0.3606 8.0000 0.1805 Y 1789.420602 0 0.3606 7801 | 16/44
119 h-m-p 1.6000 8.0000 0.0190 C 1789.420598 0 1.6000 7876 | 16/44
120 h-m-p 0.5642 8.0000 0.0539 Y 1789.420594 0 1.2132 7951 | 16/44
121 h-m-p 1.1360 8.0000 0.0576 C 1789.420589 0 1.1360 8026 | 16/44
122 h-m-p 1.6000 8.0000 0.0227 Y 1789.420585 0 3.4539 8101 | 16/44
123 h-m-p 0.1693 8.0000 0.4635 Y 1789.420578 0 0.1693 8176 | 16/44
124 h-m-p 0.3192 8.0000 0.2458 Y 1789.420577 0 0.1623 8251 | 16/44
125 h-m-p 1.6000 8.0000 0.0192 Y 1789.420575 0 1.1603 8326 | 16/44
126 h-m-p 1.4436 8.0000 0.0154 ++ 1789.420569 m 8.0000 8401 | 16/44
127 h-m-p 1.6000 8.0000 0.0582 ++ 1789.420553 m 8.0000 8476 | 16/44
128 h-m-p 0.0479 1.7510 9.7281 -C 1789.420551 0 0.0040 8552 | 16/44
129 h-m-p 0.6858 8.0000 0.0561 C 1789.420547 0 0.9780 8599 | 16/44
130 h-m-p 1.6000 8.0000 0.0070 Y 1789.420546 0 0.6577 8674 | 16/44
131 h-m-p 0.2177 8.0000 0.0211 +Y 1789.420545 0 1.9942 8750 | 16/44
132 h-m-p 1.0780 8.0000 0.0391 C 1789.420545 0 1.6066 8825 | 16/44
133 h-m-p 1.3422 8.0000 0.0468 Y 1789.420542 0 2.2492 8900 | 16/44
134 h-m-p 1.4888 8.0000 0.0707 Y 1789.420538 0 2.8118 8975 | 16/44
135 h-m-p 0.3915 8.0000 0.5079 Y 1789.420537 0 0.0979 9050 | 16/44
136 h-m-p 1.3535 8.0000 0.0367 C 1789.420534 0 1.5554 9125 | 16/44
137 h-m-p 1.3512 8.0000 0.0423 Y 1789.420533 0 2.7474 9200 | 16/44
138 h-m-p 1.2737 8.0000 0.0912 Y 1789.420532 0 1.2737 9275 | 16/44
139 h-m-p 0.3104 8.0000 0.3743 Y 1789.420531 0 0.3104 9350 | 16/44
140 h-m-p 1.6000 8.0000 0.0289 Y 1789.420528 0 3.0623 9425 | 16/44
141 h-m-p 1.6000 8.0000 0.0489 Y 1789.420528 0 0.9000 9500 | 16/44
142 h-m-p 1.6000 8.0000 0.0179 C 1789.420527 0 0.3655 9575 | 16/44
143 h-m-p 0.0600 8.0000 0.1092 ++Y 1789.420527 0 0.9606 9652 | 16/44
144 h-m-p 0.9563 8.0000 0.1097 C 1789.420526 0 1.0052 9727 | 16/44
145 h-m-p 0.8817 8.0000 0.1251 +Y 1789.420523 0 2.3241 9803 | 16/44
146 h-m-p 1.6000 8.0000 0.0720 +C 1789.420521 0 6.4000 9879 | 16/44
147 h-m-p 1.0611 8.0000 0.4345 -C 1789.420521 0 0.0714 9955 | 16/44
148 h-m-p 0.1585 8.0000 0.1957 +C 1789.420520 0 0.6659 10031 | 16/44
149 h-m-p 1.4129 8.0000 0.0922 C 1789.420520 0 1.5809 10106 | 16/44
150 h-m-p 1.4204 8.0000 0.1027 +Y 1789.420519 0 5.6814 10182 | 16/44
151 h-m-p 1.6000 8.0000 0.0154 Y 1789.420518 0 0.2489 10257 | 16/44
152 h-m-p 0.0229 8.0000 0.1671 +++C 1789.420518 0 1.4647 10335 | 16/44
153 h-m-p 1.4780 8.0000 0.1656 Y 1789.420518 0 1.4780 10410 | 16/44
154 h-m-p 1.6000 8.0000 0.1197 Y 1789.420517 0 1.6000 10485 | 16/44
155 h-m-p 0.4769 8.0000 0.4015 C 1789.420517 0 0.5376 10560 | 16/44
156 h-m-p 0.6543 8.0000 0.3299 C 1789.420517 0 0.6543 10635 | 16/44
157 h-m-p 1.6000 8.0000 0.1141 Y 1789.420517 0 3.3260 10710 | 16/44
158 h-m-p 1.6000 8.0000 0.1901 Y 1789.420517 0 0.8654 10785 | 16/44
159 h-m-p 1.6000 8.0000 0.0237 C 1789.420517 0 0.4000 10860 | 16/44
160 h-m-p 0.0430 8.0000 0.2206 ++C 1789.420517 0 0.8762 10937 | 16/44
161 h-m-p 0.7568 8.0000 0.2554 Y 1789.420517 0 1.6999 11012 | 16/44
162 h-m-p 1.6000 8.0000 0.2371 ++ 1789.420517 m 8.0000 11087 | 16/44
163 h-m-p 1.6000 8.0000 0.4375 Y 1789.420516 0 0.2541 11162 | 16/44
164 h-m-p 0.7044 8.0000 0.1578 Y 1789.420516 0 0.4037 11237 | 16/44
165 h-m-p 0.6653 8.0000 0.0958 --Y 1789.420516 0 0.0104 11314 | 16/44
166 h-m-p 0.0160 8.0000 0.3537 +C 1789.420516 0 0.0640 11390 | 16/44
167 h-m-p 0.0825 8.0000 0.2743 Y 1789.420516 0 0.1888 11465 | 16/44
168 h-m-p 0.0294 8.0000 1.7620 Y 1789.420516 0 0.0491 11540 | 16/44
169 h-m-p 0.0071 3.5290 25.1766 -------------.. | 16/44
170 h-m-p 0.0001 0.0317 0.2892 -C 1789.420516 0 0.0000 11646 | 16/44
171 h-m-p 0.0018 0.8942 0.0179 ---Y 1789.420516 0 0.0000 11724 | 16/44
172 h-m-p 0.0026 1.2797 0.0087 ---Y 1789.420516 0 0.0000 11802 | 16/44
173 h-m-p 0.0160 8.0000 0.0027 ----Y 1789.420516 0 0.0000 11881 | 16/44
174 h-m-p 0.0160 8.0000 0.0005 ------------Y 1789.420516 0 0.0000 11968
Out..
lnL = -1789.420516
11969 lfun, 47876 eigenQcodon, 1400373 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) = -1798.581823 S = -1752.011603 -65.496992
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 93 patterns 9:34
did 20 / 93 patterns 9:34
did 30 / 93 patterns 9:34
did 40 / 93 patterns 9:34
did 50 / 93 patterns 9:34
did 60 / 93 patterns 9:34
did 70 / 93 patterns 9:34
did 80 / 93 patterns 9:34
did 90 / 93 patterns 9:34
did 93 / 93 patterns 9:34end of tree file.
Time used: 9:34
Model 7: beta
TREE # 1
(6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.104745 0.020135 0.034420 0.062273 0.054060 0.055956 0.074394 0.014941 0.063987 0.064000 0.057187 0.101719 0.030421 0.049997 0.050445 0.012873 0.023448 0.027308 0.060895 0.100997 0.095524 0.090750 0.047554 0.023343 0.025878 0.092662 0.070375 0.026237 0.068328 0.094655 0.029037 0.082522 0.044714 0.043488 0.021559 0.067974 0.101110 0.094500 0.027419 13.478341 0.476073 1.090326
ntime & nrate & np: 39 1 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 2.358455
np = 42
lnL0 = -2296.703898
Iterating by ming2
Initial: fx= 2296.703898
x= 0.10474 0.02014 0.03442 0.06227 0.05406 0.05596 0.07439 0.01494 0.06399 0.06400 0.05719 0.10172 0.03042 0.05000 0.05045 0.01287 0.02345 0.02731 0.06090 0.10100 0.09552 0.09075 0.04755 0.02334 0.02588 0.09266 0.07037 0.02624 0.06833 0.09465 0.02904 0.08252 0.04471 0.04349 0.02156 0.06797 0.10111 0.09450 0.02742 13.47834 0.47607 1.09033
1 h-m-p 0.0000 0.0001 1320.3177 ++ 2187.408363 m 0.0001 47 | 1/42
2 h-m-p 0.0000 0.0000 6270.6511 ++ 2140.597007 m 0.0000 92 | 1/42
3 h-m-p 0.0000 0.0000 3547.7498 ++ 2138.835980 m 0.0000 137 | 2/42
4 h-m-p 0.0000 0.0000 1332.8710 +CYCC 2133.340468 3 0.0000 188 | 2/42
5 h-m-p 0.0000 0.0000 1821.5168 ++ 2132.134909 m 0.0000 233 | 2/42
6 h-m-p 0.0000 0.0000 2268.7309 +YYCCC 2126.463444 4 0.0000 285 | 2/42
7 h-m-p 0.0000 0.0000 5078.2331 +CYYCC 2123.916401 4 0.0000 338 | 2/42
8 h-m-p 0.0000 0.0000 4455.2899 +CYCYYYC 2106.073715 6 0.0000 393 | 2/42
9 h-m-p 0.0000 0.0000 4056.7580 ++ 2104.088624 m 0.0000 438 | 3/42
10 h-m-p 0.0000 0.0000 7607.1854 ++ 2096.416228 m 0.0000 483 | 3/42
11 h-m-p -0.0000 -0.0000 7248.1363
h-m-p: -2.09790163e-24 -1.04895082e-23 7.24813627e+03 2096.416228
.. | 3/42
12 h-m-p 0.0000 0.0000 8722.6229 YYCYCCCC 2085.464932 7 0.0000 581 | 3/42
13 h-m-p 0.0000 0.0000 1361.0618 ++ 2052.042330 m 0.0000 626 | 4/42
14 h-m-p 0.0000 0.0000 12621.7186 ++ 1978.355689 m 0.0000 671 | 5/42
15 h-m-p 0.0000 0.0000 451891.1421 ++ 1959.211478 m 0.0000 716 | 6/42
16 h-m-p 0.0000 0.0000 7457.6136 +YYCYYCCC 1953.768018 7 0.0000 773 | 6/42
17 h-m-p 0.0000 0.0000 5242.3284 ++ 1948.030563 m 0.0000 818 | 7/42
18 h-m-p 0.0000 0.0000 1206.6744 ++ 1937.276843 m 0.0000 863 | 8/42
19 h-m-p 0.0000 0.0000 1005.6199 +CYCCC 1922.875080 4 0.0000 916 | 8/42
20 h-m-p 0.0000 0.0000 1639.1687 +YYYCYCCC 1913.499144 7 0.0000 972 | 8/42
21 h-m-p 0.0000 0.0000 17764.1044 ++ 1907.059395 m 0.0000 1017 | 8/42
22 h-m-p 0.0000 0.0000 221856.2648 ++ 1895.354390 m 0.0000 1062 | 9/42
23 h-m-p 0.0000 0.0000 18171.9011 ++ 1881.672565 m 0.0000 1107 | 10/42
24 h-m-p 0.0000 0.0000 16220.9604 ++ 1881.618783 m 0.0000 1152 | 11/42
25 h-m-p 0.0000 0.0000 10573.0044 ++ 1869.997155 m 0.0000 1197 | 12/42
26 h-m-p 0.0000 0.0000 4017.8634 ++ 1850.653761 m 0.0000 1242 | 12/42
27 h-m-p 0.0000 0.0000 2695.3535 ++ 1844.785621 m 0.0000 1287 | 13/42
28 h-m-p 0.0000 0.0000 1213.0733 +YCYCCC 1832.626175 5 0.0000 1342 | 13/42
29 h-m-p 0.0000 0.0000 4047.0572 ++ 1831.558262 m 0.0000 1387 | 14/42
30 h-m-p 0.0000 0.0000 1441.8119 ++ 1827.142208 m 0.0000 1432 | 15/42
31 h-m-p 0.0000 0.0000 521.9768 YCYCCC 1826.410957 5 0.0000 1485 | 15/42
32 h-m-p 0.0000 0.0000 370.6622 CCCC 1826.149040 3 0.0000 1536 | 15/42
33 h-m-p 0.0000 0.0001 98.1366 CCCC 1825.952331 3 0.0000 1587 | 15/42
34 h-m-p 0.0000 0.0002 142.9432 +YCCC 1825.370332 3 0.0001 1638 | 15/42
35 h-m-p 0.0000 0.0001 444.7052 YCCC 1824.355110 3 0.0000 1688 | 15/42
36 h-m-p 0.0000 0.0001 406.8241 CCCC 1823.208281 3 0.0000 1739 | 15/42
37 h-m-p 0.0002 0.0011 45.4002 +YCYCCC 1821.489901 5 0.0006 1793 | 15/42
38 h-m-p 0.0001 0.0003 130.9520 +YYYCC 1819.682670 4 0.0002 1844 | 15/42
39 h-m-p 0.0000 0.0000 2111.2590 +YCYCCC 1817.245749 5 0.0000 1898 | 15/42
40 h-m-p 0.0012 0.0070 44.0239 +YYYCCC 1812.017643 5 0.0043 1951 | 15/42
41 h-m-p 0.0034 0.0168 4.0895 CYCCC 1811.574878 4 0.0056 2003 | 15/42
42 h-m-p 0.0280 0.1402 0.5595 YCYCCC 1809.065137 5 0.0727 2056 | 15/42
43 h-m-p 0.0193 0.0965 1.4126 +YYCCC 1807.468857 4 0.0628 2135 | 15/42
44 h-m-p 0.1337 0.9801 0.6631 +YYC 1804.266761 2 0.4071 2183 | 15/42
45 h-m-p 0.0645 0.3224 1.3952 CYCCC 1802.964939 4 0.1436 2263 | 15/42
46 h-m-p 0.0438 0.2190 1.0258 CCC 1801.661309 2 0.0691 2312 | 15/42
47 h-m-p 0.1503 1.0074 0.4719 +CYCCC 1799.697090 4 0.6807 2365 | 15/42
48 h-m-p 0.0716 0.3579 0.8792 CCCC 1799.116282 3 0.1123 2443 | 15/42
49 h-m-p 0.3106 1.5529 0.0505 YCCCC 1797.218532 4 0.7237 2522 | 15/42
50 h-m-p 0.1088 0.5970 0.3360 +YYYYYYYYYY 1795.740523 9 0.4352 2604 | 15/42
51 h-m-p 0.0871 0.4356 0.3898 +YYYCYYYCCC 1794.198114 10 0.3989 2691 | 15/42
52 h-m-p 0.2334 1.1671 0.4522 +YCCCC 1792.363652 4 0.6862 2771 | 15/42
53 h-m-p 0.1491 0.7457 0.1870 YCYCCC 1791.793202 5 0.3730 2851 | 15/42
54 h-m-p 0.5621 2.8106 0.0732 YCCCC 1791.200832 4 1.2020 2930 | 15/42
55 h-m-p 0.2916 1.4581 0.0742 YCCC 1791.054936 3 0.5476 3007 | 15/42
56 h-m-p 0.2541 1.2704 0.0650 ++ 1790.784521 m 1.2704 3079 | 15/42
57 h-m-p 1.0937 5.4686 0.0112 CYC 1790.462514 2 1.0401 3154
QuantileBeta(0.05, 0.00760, 0.07184) = 3.887117e-161 2000 rounds
| 15/42
58 h-m-p 0.2570 1.7899 0.0452 YCCC 1790.217185 3 0.5600 3231 | 15/42
59 h-m-p 0.8067 4.0335 0.0061 YCC 1790.116209 2 0.4965 3306 | 15/42
60 h-m-p 0.0912 1.7366 0.0335 +YC 1790.044447 1 0.8738 3380 | 15/42
61 h-m-p 1.4852 7.4259 0.0041 YYC 1790.010075 2 1.1707 3454 | 15/42
62 h-m-p 1.4983 8.0000 0.0032 CCC 1789.967328 2 2.2521 3530 | 15/42
63 h-m-p 0.4275 2.1374 0.0134 ++ 1789.881406 m 2.1374 3602 | 15/42
64 h-m-p 0.0000 0.0000 0.0323
h-m-p: 4.72583345e-17 2.36291672e-16 3.22679389e-02 1789.881406
.. | 15/42
65 h-m-p 0.0000 0.0002 682.8924 YYYC 1789.459839 3 0.0000 3746 | 15/42
66 h-m-p 0.0000 0.0002 65.2713 CYC 1789.443532 2 0.0000 3794 | 15/42
67 h-m-p 0.0000 0.0005 25.6482 CC 1789.438273 1 0.0000 3841 | 15/42
68 h-m-p 0.0001 0.0025 7.1779 YC 1789.437983 1 0.0000 3887 | 15/42
69 h-m-p 0.0000 0.0030 3.5072 Y 1789.437922 0 0.0000 3932 | 15/42
70 h-m-p 0.0001 0.0485 1.1363 C 1789.437873 0 0.0001 3977 | 15/42
71 h-m-p 0.0000 0.0101 5.6686 C 1789.437767 0 0.0000 4022 | 15/42
72 h-m-p 0.0000 0.0000 9287.3214 --YC 1789.437688 1 0.0000 4070 | 15/42
73 h-m-p 0.0013 0.6450 0.2761 --Y 1789.437687 0 0.0000 4117 | 15/42
74 h-m-p 0.0001 0.0298 0.1558 -Y 1789.437687 0 0.0000 4190 | 15/42
75 h-m-p 0.0004 0.1809 0.0609 -C 1789.437687 0 0.0000 4263 | 15/42
76 h-m-p 0.0003 0.1674 0.0239 -Y 1789.437687 0 0.0000 4336 | 15/42
77 h-m-p 0.0001 0.0311 0.1180 C 1789.437687 0 0.0001 4408 | 15/42
78 h-m-p 0.0000 0.0023 1.5965 Y 1789.437687 0 0.0000 4480 | 15/42
79 h-m-p 0.0001 0.0343 0.1108 C 1789.437687 0 0.0000 4525 | 15/42
80 h-m-p 0.0004 0.1779 0.0337 --Y 1789.437687 0 0.0000 4599 | 15/42
81 h-m-p 0.0034 1.6974 0.0117 -Y 1789.437687 0 0.0002 4672 | 15/42
82 h-m-p 0.0009 0.4396 0.0308 Y 1789.437685 0 0.0004 4744 | 15/42
83 h-m-p 0.0001 0.0258 0.6606 +Y 1789.437666 0 0.0002 4817 | 15/42
84 h-m-p 0.0000 0.0015 11.4330 +C 1789.437528 0 0.0001 4890 | 15/42
85 h-m-p 0.0012 0.0341 0.5085 --C 1789.437527 0 0.0000 4937 | 15/42
86 h-m-p 0.0001 0.0331 0.2730 Y 1789.437527 0 0.0000 5009 | 15/42
87 h-m-p 0.0106 5.2993 0.0020 Y 1789.437526 0 0.0020 5081 | 15/42
88 h-m-p 0.0001 0.0309 0.3410 C 1789.437524 0 0.0001 5153 | 15/42
89 h-m-p 0.0000 0.0094 0.8839 ++C 1789.437463 0 0.0005 5227 | 15/42
90 h-m-p 0.0004 0.0073 1.1235 --C 1789.437462 0 0.0000 5301 | 15/42
91 h-m-p 0.0001 0.0642 0.2060 Y 1789.437462 0 0.0000 5346 | 15/42
92 h-m-p 0.0160 8.0000 0.0030 --C 1789.437462 0 0.0002 5420 | 15/42
93 h-m-p 0.0154 7.6953 0.0048 ++Y 1789.437406 0 0.1672 5494 | 15/42
94 h-m-p 0.6095 4.3606 0.0013 Y 1789.437403 0 0.0776 5566 | 15/42
95 h-m-p 0.1835 8.0000 0.0006 ++Y 1789.437357 0 5.3859 5640 | 15/42
96 h-m-p 1.1921 8.0000 0.0025 YC 1789.437284 1 2.3678 5713 | 15/42
97 h-m-p 1.6000 8.0000 0.0012 Y 1789.437274 0 0.9300 5785 | 15/42
98 h-m-p 1.6000 8.0000 0.0004 C 1789.437271 0 1.7051 5857 | 15/42
99 h-m-p 1.1994 8.0000 0.0006 Y 1789.437269 0 1.9928 5929 | 15/42
100 h-m-p 1.6000 8.0000 0.0007 C 1789.437269 0 1.7434 6001 | 15/42
101 h-m-p 0.4102 8.0000 0.0028 +Y 1789.437269 0 1.0381 6074 | 15/42
102 h-m-p 0.3676 8.0000 0.0078 C 1789.437268 0 0.5240 6146 | 15/42
103 h-m-p 0.2244 6.6416 0.0183 C 1789.437268 0 0.2421 6218 | 15/42
104 h-m-p 0.1636 4.0732 0.0271 C 1789.437268 0 0.1353 6290 | 15/42
105 h-m-p 0.1184 3.2635 0.0310 Y 1789.437268 0 0.0737 6362 | 15/42
106 h-m-p 0.0709 2.9413 0.0322 Y 1789.437268 0 0.0438 6434 | 15/42
107 h-m-p 0.0435 2.7642 0.0324 Y 1789.437268 0 0.0237 6506 | 15/42
108 h-m-p 0.0233 2.6095 0.0329 Y 1789.437268 0 0.0135 6578 | 15/42
109 h-m-p 0.0132 2.4624 0.0336 Y 1789.437268 0 0.0067 6650 | 15/42
110 h-m-p 0.0066 2.3421 0.0342 Y 1789.437268 0 0.0042 6722 | 15/42
111 h-m-p 0.0044 2.1865 0.0355 Y 1789.437268 0 0.0011 6794 | 15/42
112 h-m-p 0.0039 1.9315 0.0393 ------------.. | 15/42
113 h-m-p 0.0000 0.0012 0.7720 Y 1789.437266 0 0.0000 6948 | 15/42
114 h-m-p 0.0000 0.0018 0.1915 -Y 1789.437266 0 0.0000 7021 | 15/42
115 h-m-p 0.0000 0.0087 0.0632 ------Y 1789.437266 0 0.0000 7099 | 15/42
116 h-m-p 0.0000 0.0110 0.0726 --------.. | 15/42
117 h-m-p 0.0000 0.0019 0.2122 -------- | 15/42
118 h-m-p 0.0000 0.0019 0.2122 --------
Out..
lnL = -1789.437266
7334 lfun, 80674 eigenQcodon, 2860260 P(t)
end of tree file.
Time used: 24:19
Model 8: beta&w>1
TREE # 1
(6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.081032 0.094882 0.037832 0.048802 0.103293 0.087206 0.065381 0.107268 0.085093 0.017428 0.058953 0.057076 0.021879 0.076409 0.084513 0.059666 0.018525 0.033827 0.050175 0.069184 0.090303 0.066815 0.061618 0.109503 0.075473 0.045907 0.103963 0.051538 0.082932 0.083015 0.011057 0.083038 0.073366 0.021090 0.058089 0.038049 0.047321 0.020175 0.088493 13.331481 0.900000 0.382307 1.786613 1.300000
ntime & nrate & np: 39 2 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 2.455822
np = 44
lnL0 = -2295.070777
Iterating by ming2
Initial: fx= 2295.070777
x= 0.08103 0.09488 0.03783 0.04880 0.10329 0.08721 0.06538 0.10727 0.08509 0.01743 0.05895 0.05708 0.02188 0.07641 0.08451 0.05967 0.01853 0.03383 0.05018 0.06918 0.09030 0.06681 0.06162 0.10950 0.07547 0.04591 0.10396 0.05154 0.08293 0.08302 0.01106 0.08304 0.07337 0.02109 0.05809 0.03805 0.04732 0.02018 0.08849 13.33148 0.90000 0.38231 1.78661 1.30000
1 h-m-p 0.0000 0.0001 1389.5650 ++ 2168.563944 m 0.0001 93 | 0/44
2 h-m-p 0.0000 0.0000 4888.7562 ++ 2158.489492 m 0.0000 184 | 1/44
3 h-m-p 0.0000 0.0000 10990.4511 ++ 2143.753912 m 0.0000 275 | 2/44
4 h-m-p 0.0000 0.0000 5604.4936 ++ 2131.855596 m 0.0000 365 | 3/44
5 h-m-p 0.0000 0.0001 1033.7457 ++ 2078.384663 m 0.0001 454 | 3/44
6 h-m-p 0.0000 0.0000 12294.7998 ++ 2069.357847 m 0.0000 542 | 3/44
7 h-m-p 0.0000 0.0000 21731.0559
h-m-p: 1.30380385e-23 6.51901927e-23 2.17310559e+04 2069.357847
.. | 3/44
8 h-m-p 0.0000 0.0000 2069.8733 ++ 2031.178764 m 0.0000 715 | 4/44
9 h-m-p 0.0000 0.0000 1490.3809 ++ 1985.806101 m 0.0000 803 | 5/44
10 h-m-p 0.0000 0.0000 32714.2355 ++ 1973.867200 m 0.0000 890 | 6/44
11 h-m-p 0.0000 0.0000 40513.6435 ++ 1941.343618 m 0.0000 976 | 7/44
12 h-m-p 0.0000 0.0000 105670.4682 ++ 1928.336716 m 0.0000 1061 | 8/44
13 h-m-p 0.0000 0.0000 11186.2356 ++ 1923.175168 m 0.0000 1145 | 8/44
14 h-m-p -0.0000 -0.0000 13316.5083
h-m-p: -1.80312538e-23 -9.01562688e-23 1.33165083e+04 1923.175168
.. | 8/44
15 h-m-p 0.0000 0.0000 1002.7654 ++ 1886.282456 m 0.0000 1308 | 9/44
16 h-m-p 0.0000 0.0000 38048.9684 ++ 1872.980847 m 0.0000 1391 | 10/44
17 h-m-p 0.0000 0.0000 23820.8836 ++ 1855.565807 m 0.0000 1473 | 11/44
18 h-m-p 0.0000 0.0000 10766.3710 ++ 1848.993054 m 0.0000 1554 | 12/44
19 h-m-p 0.0000 0.0000 13365.1968 +YYYCCC 1846.749618 5 0.0000 1642 | 12/44
20 h-m-p 0.0000 0.0000 2106.2144 ++ 1845.279145 m 0.0000 1721 | 13/44
21 h-m-p 0.0000 0.0000 25341.9791 +YYYCCC 1840.602296 5 0.0000 1808 | 13/44
22 h-m-p 0.0000 0.0000 2661.4756 +YYCCCC 1832.281737 5 0.0000 1895 | 13/44
23 h-m-p 0.0000 0.0000 9833.5033 YCCCC 1830.200271 4 0.0000 1980 | 13/44
24 h-m-p 0.0000 0.0000 3724.1711 +YYYCYCCC 1825.325124 7 0.0000 2069 | 13/44
25 h-m-p 0.0000 0.0000 22526.6265 +YYCCC 1822.529260 4 0.0000 2154 | 13/44
26 h-m-p 0.0000 0.0000 8131.3021 +YYCYC 1821.188171 4 0.0000 2238 | 13/44
27 h-m-p 0.0000 0.0000 7849.9204 ++ 1819.583949 m 0.0000 2316 | 14/44
28 h-m-p 0.0000 0.0000 3264.5405 ++ 1817.588841 m 0.0000 2394 | 15/44
29 h-m-p 0.0000 0.0000 2605.4161 +YYCCC 1815.932445 4 0.0000 2478 | 15/44
30 h-m-p 0.0000 0.0000 1386.3859 +YYCCCC 1814.920599 5 0.0000 2563 | 15/44
31 h-m-p 0.0000 0.0000 5336.1191 +YCYCCC 1813.408465 5 0.0000 2648 | 15/44
32 h-m-p 0.0000 0.0000 530.8247 +YCYCCC 1812.762697 5 0.0000 2733 | 15/44
33 h-m-p 0.0000 0.0001 148.9070 YCCCCC 1812.031379 5 0.0000 2818 | 15/44
34 h-m-p 0.0000 0.0001 329.5416 CYCCC 1811.234994 4 0.0000 2901 | 15/44
35 h-m-p 0.0000 0.0000 759.3519 +YYYCCC 1809.282253 5 0.0000 2985 | 15/44
36 h-m-p 0.0000 0.0000 1801.2580 +YYYYYYY 1804.195165 6 0.0000 3068 | 15/44
37 h-m-p 0.0000 0.0000 1679.6971 YCYCCC 1803.122943 5 0.0000 3152 | 15/44
38 h-m-p 0.0000 0.0002 97.4998 CCCC 1802.874071 3 0.0001 3234 | 15/44
39 h-m-p 0.0001 0.0005 94.5746 +YYC 1802.195320 2 0.0002 3313 | 15/44
40 h-m-p 0.0000 0.0002 677.5892 ++ 1797.099487 m 0.0002 3389 | 15/44
41 h-m-p 0.0000 0.0000 168.3926
h-m-p: 0.00000000e+00 0.00000000e+00 1.68392644e+02 1797.099487
.. | 15/44
42 h-m-p 0.0000 0.0000 1821.8298 CYCCC 1792.911912 4 0.0000 3545 | 15/44
43 h-m-p 0.0000 0.0000 511.8278 +YCCCC 1790.708449 4 0.0000 3629 | 15/44
44 h-m-p 0.0000 0.0000 260.2122 CCCC 1790.511789 3 0.0000 3711 | 15/44
45 h-m-p 0.0000 0.0001 86.1215 YYC 1790.469462 2 0.0000 3789 | 15/44
46 h-m-p 0.0000 0.0002 72.5645 CCC 1790.433261 2 0.0000 3869 | 15/44
47 h-m-p 0.0000 0.0014 64.1932 +YCCC 1790.259454 3 0.0002 3951 | 15/44
48 h-m-p 0.0000 0.0001 236.2629 YC 1790.217405 1 0.0000 4028 | 15/44
49 h-m-p 0.0001 0.0003 38.8160 C 1790.210246 0 0.0000 4104 | 15/44
50 h-m-p 0.0000 0.0011 19.4126 YC 1790.208383 1 0.0000 4181 | 15/44
51 h-m-p 0.0000 0.0038 12.4986 +CC 1790.201400 1 0.0001 4260 | 15/44
52 h-m-p 0.0000 0.0005 136.9084 +C 1790.174317 0 0.0001 4337 | 15/44
53 h-m-p 0.0000 0.0004 482.1843 +CCCC 1789.991543 3 0.0001 4420 | 15/44
54 h-m-p 0.0000 0.0001 2547.6678 YCCC 1789.787617 3 0.0000 4501 | 15/44
55 h-m-p 0.0000 0.0001 953.6786 CC 1789.734971 1 0.0000 4579 | 15/44
56 h-m-p 0.0001 0.0005 90.2342 CC 1789.728293 1 0.0000 4657 | 15/44
57 h-m-p 0.0001 0.0006 31.9497 YC 1789.727125 1 0.0000 4734 | 15/44
58 h-m-p 0.0001 0.0045 2.9742 Y 1789.727041 0 0.0000 4810 | 15/44
59 h-m-p 0.0000 0.0062 1.7340 C 1789.727023 0 0.0000 4886 | 15/44
60 h-m-p 0.0001 0.0498 1.1769 +C 1789.726763 0 0.0004 4963 | 15/44
61 h-m-p 0.0000 0.0030 22.8644 +C 1789.725772 0 0.0001 5040 | 15/44
62 h-m-p 0.0000 0.0145 176.9560 +++YC 1789.603375 1 0.0012 5120 | 15/44
63 h-m-p 0.0000 0.0001 1815.1336 CC 1789.593729 1 0.0000 5198 | 15/44
64 h-m-p 0.0001 0.0018 124.3423 YC 1789.592189 1 0.0000 5275 | 15/44
65 h-m-p 0.0005 0.0025 2.7895 --C 1789.592177 0 0.0000 5353 | 15/44
66 h-m-p 0.0001 0.0422 0.4430 Y 1789.592172 0 0.0000 5429 | 15/44
67 h-m-p 0.0051 2.5453 0.2498 +++YC 1789.577350 1 0.2058 5509 | 15/44
68 h-m-p 0.0000 0.0004 1615.8815 +YCC 1789.532972 2 0.0001 5589 | 15/44
69 h-m-p 0.0069 0.0344 7.5261 ---C 1789.532923 0 0.0000 5668 | 15/44
70 h-m-p 0.0083 4.1302 0.0671 ++++
QuantileBeta(0.15, 0.00500, 2.28215) = 1.140482e-160 2000 rounds
YC 1789.492922 1 1.4391 5749 | 15/44
71 h-m-p 0.6486 3.2432 0.1328 YC 1789.467203 1 1.5347 5826 | 15/44
72 h-m-p 0.2680 1.3398 0.1645 +
QuantileBeta(0.15, 0.00500, 2.48559) = 1.026164e-160 2000 rounds
YCC 1789.435216 2 1.1694 5906 | 15/44
73 h-m-p 0.0935 0.4673 0.0921 +
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
+ 1789.426486 m 0.4673 5982
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48681) = 1.025546e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48656) = 1.025676e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48669) = 1.025611e-160 2000 rounds
| 16/44
74 h-m-p 0.7597 8.0000 0.0565
QuantileBeta(0.15, 0.00500, 2.44864) = 1.045210e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.33449) = 1.108727e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45735) = 1.040655e-160 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
C 1789.421890 1 0.5892 6059
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.077080e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45730) = 1.040681e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45705) = 1.040815e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.45718) = 1.040748e-160 2000 rounds
| 16/44
75 h-m-p 0.3669 1.8343 0.0546
QuantileBeta(0.15, 0.00500, 2.47252) = 1.032824e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.51853) = 1.009756e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47815) = 1.029943e-160 2000 rounds
C
QuantileBeta(0.15, 0.00500, 2.49834) = 1.019751e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
C 1789.420684 1 0.4861 6136
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.066242e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47763) = 1.030209e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47737) = 1.030341e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.47750) = 1.030275e-160 2000 rounds
| 16/44
76 h-m-p 0.8341 4.1703 0.0132
QuantileBeta(0.15, 0.00500, 2.48312) = 1.027416e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.49998) = 1.018933e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
Y 1789.420615 0 0.5772 6211
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.064192e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48152) = 1.028230e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48126) = 1.028361e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48139) = 1.028295e-160 2000 rounds
| 16/44
77 h-m-p 1.6000 8.0000 0.0021
QuantileBeta(0.15, 0.00500, 2.48109) = 1.028445e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48021) = 1.028896e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
Y 1789.420607 0 2.7170 6286
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.064456e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48102) = 1.028484e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48076) = 1.028616e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48089) = 1.028550e-160 2000 rounds
| 16/44
78 h-m-p 0.9532 8.0000 0.0059
QuantileBeta(0.15, 0.00500, 2.48087) = 1.028560e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48081) = 1.028590e-160 2000 rounds
+
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
+ 1789.420553 m 8.0000 6361
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.064543e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48085) = 1.028569e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48059) = 1.028700e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48072) = 1.028634e-160 2000 rounds
| 16/44
79 h-m-p 1.3417 8.0000 0.0350
QuantileBeta(0.15, 0.00500, 2.48063) = 1.028684e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48033) = 1.028833e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
C 1789.420518 0 1.4472 6436
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.064599e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48075) = 1.028622e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48049) = 1.028753e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48062) = 1.028688e-160 2000 rounds
| 16/44
80 h-m-p 1.6000 8.0000 0.0034
QuantileBeta(0.15, 0.00500, 2.48074) = 1.028625e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48111) = 1.028438e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
Y 1789.420516 0 1.0933 6511
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.064555e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48083) = 1.028580e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48057) = 1.028711e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028645e-160 2000 rounds
| 16/44
81 h-m-p 1.6000 8.0000 0.0002
QuantileBeta(0.15, 0.00500, 2.48068) = 1.028654e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48070) = 1.028647e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
Y 1789.420516 0 0.7891 6586
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.064559e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48082) = 1.028584e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48056) = 1.028715e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
| 16/44
82 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028651e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028650e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028650e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028650e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
C 1789.420516 0 0.0016 6665
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
Out..
lnL = -1789.420516
6666 lfun, 79992 eigenQcodon, 2859714 P(t)
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
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) = -1798.747645 S = -1752.011949 -71.883237
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 93 patterns 39:21
did 20 / 93 patterns 39:22
did 30 / 93 patterns 39:22
did 40 / 93 patterns 39:22
did 50 / 93 patterns 39:22
did 60 / 93 patterns 39:22
did 70 / 93 patterns 39:23
did 80 / 93 patterns 39:23
did 90 / 93 patterns 39:23
did 93 / 93 patterns 39:23
QuantileBeta(0.15, 0.00500, 2.48069) = 1.028649e-160 2000 rounds
end of tree file.
Time used: 39:23
The loglikelihoods for models M1, M2, M7 and M8 are -1789.422139 -1789.420516 -1789.437266 -1789.420516 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 MANVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQE
**.*********************************************************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQ
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 RWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQ
********************************** *************************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSFRSTSRQQSRTRSDSNQ
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 KPLEPKFSTALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 KPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQ
******** ********************************** ****************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSLSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPFSQPRADKPSQLKKPRWKRVP
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 SSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVP
************************ **************:********************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 TREENVIQGFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 TREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGD
******** ***************************************************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSVKEMQSQSSHVAQNTVLNASIPESKP
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKP
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQPSHVAQNTVLNASIPESKP
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKP
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 NVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKP
**********************************:******.**..**************
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 LADDDSAIIEIVNEVLH
*****************
>NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTTTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAATCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAACCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCCCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGAAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGGGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCCCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTGTCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGATAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGCAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATCATAGAAATTGTCAACGAGGTTTTGCAT >ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAATTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAATTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAATTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAGGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAATTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGACAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAACCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTCTTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCCCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGTACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGACAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCTTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGACTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACTTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGGTTTCCACAGCTTGCTGAATTGATTCCCAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAAATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCACGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAATGAGGTTTTGCAT >NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGTAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTACTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGACAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAGTTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 ATGGCTAATGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAACAAGCCTTTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAACCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTTATCCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGCAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTTGAGGATCGCTCTAATAACTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGATAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGGGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAATTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTATACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGCTGTTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT >N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 ATGGCTAGTGTAAATTGGGCCGATGACAGAGCTGCTAGGAAGAAATTTCCTCCTCCTTCATTTTACATGCCTCTTTTGGTTAGTTCTGATAAGGCACCATATAGGGTCATTCCCAGGAATCTTGTCCCTATTGGTAAGGGTAATAAAGATGAGCAGATTGGTTATTGGAATGTTCAAGAGCGTTGGCGTATGCGTAGGGGGCAACGTGTTGATTTGCCTCCTAAAGTTCATTTTTATTACCTAGGTACTGGACCTCATAAGGACCTTAAATTCAGACAACGTTCTGATGGTGTTGTTTGGGTTGCTAAGGAAGGTGCTAAAACTGTTAATACCAGTCTTGGTAATCGCAAACGTAATCAGAAACCTTTGGAACCAAAGTTCTCTATTGCTTTGCCTCCAGAGCTCTCTGTTGTTGAGTTCGAGGATCGCTCTAATAATTCATCTCGTGCTAGCAGTCGTTCTTCAACTCGTAACAACTCACGAGACTCTTCTCGTAGCACTTCAAGACAACAGTCTCGCACTCGTTCTGATTCTAACCAGTCTTCTTCAGATCTTGTTGCTGCTGTTACTTTGGCTTTAAAGAACTTAGGTTTTGATAACCAGTCGAAGTCACCTAGTTCTTCTGGTACTTCCACTCCTAAGAAACCTAATAAGCCTCTTTCTCAACCCAGGGCTGACAAGCCTTCTCAGTTGAAGAAACCTCGTTGGAAGCGTGTTCCTACCAGAGAGGAAAATGTTATTCAGTGCTTTGGTCCTCGTGATTTTAATCACAATATGGGAGATTCAGATCTTGTTCAGAATGGTGTTGATGCCAAAGGTTTTCCACAGCTTGCTGAGTTGATTCCTAATCAGGCTGCGTTATTCTTTGATAGTGAGGTTAGCACTGATGAAGTGGGTGATAATGTTCAGATTACCTACACCTACAAAATGCTTGTAGCTAAGGATAATAAGAACCTTCCTAAGTTCATTGAGCAGATTAGTGCTTTTACTAAACCCAGTTCTATCAAAGAAATGCAGTCACAATCATCTCATGTTGCTCAGAACACAGTACTTAATGCTTCTATTCCAGAATCTAAACCATTGGCTGATGATGATTCAGCCATTATAGAAATTGTCAACGAGGTTTTGCAT
>NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSFRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQGFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSVKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRLDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSLSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSTALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63 MANVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPFSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQPSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH >NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHAVQNTVLNASIPESKPLADDDSAIIEIVNEVLH >N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63 MASVNWADDRAARKKFPPPSFYMPLLVSSDKAPYRVIPRNLVPIGKGNKDEQIGYWNVQERWRMRRGQRVDLPPKVHFYYLGTGPHKDLKFRQRSDGVVWVAKEGAKTVNTSLGNRKRNQKPLEPKFSIALPPELSVVEFEDRSNNSSRASSRSSTRNNSRDSSRSTSRQQSRTRSDSNQSSSDLVAAVTLALKNLGFDNQSKSPSSSGTSTPKKPNKPLSQPRADKPSQLKKPRWKRVPTREENVIQCFGPRDFNHNMGDSDLVQNGVDAKGFPQLAELIPNQAALFFDSEVSTDEVGDNVQITYTYKMLVAKDNKNLPKFIEQISAFTKPSSIKEMQSQSSHVAQNTVLNASIPESKPLADDDSAIIEIVNEVLH
Reading sequence file /data//pss_subsets/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml/fasta/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Found 30 sequences of length 1131
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.7%
Found 15 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 1
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 28 polymorphic sites
**p-Value(s)**
----------
NSS: 7.23e-01 (1000 permutations)
Max Chi^2: 6.55e-01 (1000 permutations)
PHI (Permutation): 6.09e-01 (1000 permutations)
PHI (Normal): 4.24e-01
#NEXUS
[ID: 3585091929]
begin taxa;
dimensions ntax=30;
taxlabels
Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63
ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63
HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63
HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63
Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63
Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63
N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63
N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63
N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63
N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63
Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63
NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63
NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63
NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63
CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63
NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63
NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63
UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63
ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63
ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63
;
end;
begin trees;
translate
1 Amsterdam_057_N_ABE97141_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
2 ChinaGD03_N_QED88023_1_2018_07_13_China_Human_Human_coronavirus_NL63,
3 ChinaGD05_N_QED88030_1_2018_08_14_China_Human_Human_coronavirus_NL63,
4 HCoV_NL63_Seattle_USA_SC0179_2018_NA_QEG03735_1_2018_USA_Human_Human_coronavirus_NL63,
5 HCoV_NL63_Seattle_USA_SC2940_2015_NA_ARU07598_1_2015_USA_Human_Human_coronavirus_NL63,
6 Amsterdam_496_N_ABE97134_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
7 Kilifi_HH_5402_20_May_2010_NA_AWK59965_1_2010_05_20_Kenya_Human_Human_coronavirus_NL63,
8 Kilifi_HH_5709_19_May_2010_NA_AWK59935_1_2010_05_19_Kenya_Human_Human_coronavirus_NL63,
9 Kilifi_HH_3808_24_May_2010_NA_AWK59977_1_2010_05_24_Kenya_Human_Human_coronavirus_NL63,
10 N06_1144B_NA_ARE29963_1_2016_USA_Human_Human_coronavirus_NL63,
11 N07_196B_NA_ARE29975_1_2016_USA_Human_Human_coronavirus_NL63,
12 N07_185B_NA_ARE29969_1_2016_USA_Human_Human_coronavirus_NL63,
13 N07_64B_NA_ARB07410_1_2016_USA_Human_Human_coronavirus_NL63,
14 Amsterdam_I_NA_YP_003771_1_NA_NA_Unknown_Human_coronavirus_NL63,
15 NL63_DEN_2005_1876_N_AFD98838_1_2005_11_21_USA_Human_Human_coronavirus_NL63,
16 NL63_DEN_2005_193_N_AFD98789_1_2005_01_11_USA_Human_Human_coronavirus_NL63,
17 NL63_DEN_2005_271_N_AFD98810_1_2005_01_23_USA_Human_Human_coronavirus_NL63,
18 NL63_DEN_2005_235_N_AFD98803_1_2005_01_19_USA_Human_Human_coronavirus_NL63,
19 NL63_DEN_2009_14_N_AFD98761_1_2009_03_01_USA_Human_Human_coronavirus_NL63,
20 NL63_DEN_2009_20_N_AFD98782_1_2009_03_12_USA_Human_Human_coronavirus_NL63,
21 NL63_UF_1_2015_N_ALJ53435_1_2015_USA_Human_Human_coronavirus_NL63,
22 NL63_UF_2_2015_N_ANU06088_1_2015_09_01_USA_Human_Human_coronavirus_NL63,
23 CBJ_037_N_AFO70495_1_2008_11_04_China_Human_Human_coronavirus_NL63,
24 NL63_human_USA_891_4_1989_N_AGT51398_1_1989_01_03_USA_Human_Human_coronavirus_NL63,
25 NL63_human_USA_891_6_1989_N_AGT51356_1_1989_01_05_USA_Human_Human_coronavirus_NL63,
26 NL63_human_USA_901_24_1990_N_AGT51377_1_1990_01_05_USA_Human_Human_coronavirus_NL63,
27 UNKNOWN_AY518894_NA_AAS89771_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
28 CN0601_14_N_AVA26877_1_2014_11_25_South_Korea_Human_Human_coronavirus_NL63,
29 ChinaGD02_N_QED88016_1_2018_08_15_China_Human_Human_coronavirus_NL63,
30 ChinaGD04_N_QED88044_1_2018_07_25_China_Human_Human_coronavirus_NL63
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.109550e-03,((((5:1.526355e-03,6:1.149437e-03,10:2.876539e-04,12:2.953046e-04,13:2.934499e-04,18:7.088300e-04,19:1.137204e-03,20:2.926464e-04,22:3.078244e-04)0.846:7.029117e-04,21:3.339683e-04)1.000:1.612273e-03,(11:1.508316e-03,17:6.663917e-04)1.000:1.551632e-03,14:2.861669e-04,15:1.526084e-03,16:7.286690e-04,24:6.975818e-04,25:2.829971e-04,26:3.032720e-04,28:1.964913e-03)0.742:7.160708e-04,27:8.156342e-04)1.000:1.673050e-03,(((2:7.567132e-04,29:7.092085e-04)0.827:6.859584e-04,3:2.915402e-04,4:2.777780e-04,(7:2.943977e-04,8:2.920384e-04,9:2.871705e-04)0.951:7.279285e-04,23:2.811241e-04)0.674:7.322454e-04,30:1.694727e-03)1.000:1.658667e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.109550e-03,((((5:1.526355e-03,6:1.149437e-03,10:2.876539e-04,12:2.953046e-04,13:2.934499e-04,18:7.088300e-04,19:1.137204e-03,20:2.926464e-04,22:3.078244e-04):7.029117e-04,21:3.339683e-04):1.612273e-03,(11:1.508316e-03,17:6.663917e-04):1.551632e-03,14:2.861669e-04,15:1.526084e-03,16:7.286690e-04,24:6.975818e-04,25:2.829971e-04,26:3.032720e-04,28:1.964913e-03):7.160708e-04,27:8.156342e-04):1.673050e-03,(((2:7.567132e-04,29:7.092085e-04):6.859584e-04,3:2.915402e-04,4:2.777780e-04,(7:2.943977e-04,8:2.920384e-04,9:2.871705e-04):7.279285e-04,23:2.811241e-04):7.322454e-04,30:1.694727e-03):1.658667e-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 -1907.34 -1928.35
2 -1907.15 -1933.14
--------------------------------------
TOTAL -1907.24 -1932.46
--------------------------------------
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} 0.044458 0.000058 0.030498 0.060222 0.044066 1469.73 1485.37 1.000
r(A<->C){all} 0.022776 0.000504 0.000001 0.066924 0.016076 573.28 583.16 1.000
r(A<->G){all} 0.148856 0.002745 0.055768 0.253536 0.142748 490.18 534.67 1.000
r(A<->T){all} 0.028884 0.000434 0.000048 0.067727 0.024425 657.48 689.93 1.000
r(C<->G){all} 0.025979 0.000639 0.000005 0.075452 0.018620 622.83 623.62 1.000
r(C<->T){all} 0.702477 0.004497 0.562480 0.826628 0.704738 481.69 579.31 1.001
r(G<->T){all} 0.071028 0.001212 0.011158 0.137789 0.065600 601.98 620.02 1.000
pi(A){all} 0.265678 0.000166 0.242060 0.291925 0.265588 1097.09 1162.79 1.000
pi(C){all} 0.205806 0.000131 0.183659 0.227648 0.205512 1157.09 1200.75 1.001
pi(G){all} 0.208470 0.000143 0.186076 0.232568 0.208702 1025.66 1078.63 1.000
pi(T){all} 0.320047 0.000183 0.292861 0.345476 0.320104 918.40 958.19 1.000
alpha{1,2} 0.613515 0.611067 0.000098 2.187750 0.322462 912.81 936.66 1.000
alpha{3} 1.293533 1.149110 0.001255 3.455173 0.997800 985.37 1006.10 1.000
pinvar{all} 0.458203 0.043453 0.038230 0.787972 0.486538 737.73 740.27 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/NL63_human_USA_012_31_2001_N_AGT51335_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 377
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 11 10 10 10 10 | Ser TCT 22 21 22 21 21 20 | Tyr TAT 3 4 3 3 3 3 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 4 4 4 | TCC 1 1 1 1 1 2 | TAC 4 3 4 4 4 4 | TGC 1 1 1 0 1 1
Leu TTA 3 3 3 3 3 3 | TCA 11 11 11 11 11 11 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 9 9 9 9 9 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 11 11 12 12 12 | Pro CCT 20 20 20 18 19 20 | His CAT 4 4 4 4 4 4 | Arg CGT 13 13 13 13 13 13
CTC 1 1 1 1 1 1 | CCC 3 3 3 5 4 3 | CAC 1 1 1 1 1 1 | CGC 4 4 4 4 4 4
CTA 1 1 1 1 1 1 | CCA 6 6 6 6 6 6 | Gln CAA 6 6 6 6 6 6 | CGA 1 1 1 1 1 1
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 14 14 14 14 14 14 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 11 12 12 12 12 | Thr ACT 10 10 10 10 10 10 | Asn AAT 17 18 16 16 16 17 | Ser AGT 8 8 8 9 9 9
ATC 1 2 1 1 1 0 | ACC 4 4 4 4 4 4 | AAC 9 8 10 10 10 9 | AGC 3 3 3 2 2 2
ATA 1 1 1 1 1 1 | ACA 1 1 1 1 1 1 | Lys AAA 14 14 14 14 14 14 | Arg AGA 4 4 4 4 4 4
Met ATG 6 6 6 6 6 6 | ACG 0 0 0 0 0 0 | AAG 16 16 16 16 16 16 | AGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 20 20 20 21 21 20 | Ala GCT 18 18 18 18 18 19 | Asp GAT 21 21 21 21 20 21 | Gly GGT 13 13 13 12 13 13
GTC 3 3 3 3 3 4 | GCC 3 3 3 3 3 3 | GAC 3 3 3 3 4 3 | GGC 0 0 0 1 0 0
GTA 3 3 3 3 3 3 | GCA 1 1 1 1 1 1 | Glu GAA 8 8 8 8 8 8 | GGA 1 1 1 2 1 1
GTG 1 1 1 1 1 1 | GCG 1 1 1 0 0 0 | GAG 9 9 9 9 9 9 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 10 10 10 | Ser TCT 22 22 21 22 21 22 | Tyr TAT 4 3 3 4 3 4 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 4 4 4 | TCC 1 1 1 1 1 1 | TAC 3 4 4 3 4 3 | TGC 1 1 1 1 1 1
Leu TTA 3 3 3 3 3 3 | TCA 11 11 11 11 11 11 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 9 9 9 9 9 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 11 12 11 12 11 | Pro CCT 20 20 19 20 19 20 | His CAT 4 4 4 4 4 4 | Arg CGT 13 12 13 13 13 13
CTC 1 1 1 1 1 1 | CCC 3 3 4 3 4 3 | CAC 1 1 1 1 1 1 | CGC 4 5 4 4 4 4
CTA 1 1 1 1 1 1 | CCA 6 6 6 6 6 6 | Gln CAA 6 6 6 6 6 6 | CGA 1 1 1 1 1 1
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 14 14 14 14 14 14 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 11 11 12 11 12 12 | Thr ACT 10 10 10 10 10 10 | Asn AAT 17 17 16 17 17 17 | Ser AGT 8 8 9 8 9 8
ATC 2 2 1 2 1 1 | ACC 4 4 4 4 4 4 | AAC 9 9 10 9 9 9 | AGC 3 3 2 3 2 3
ATA 1 1 1 1 1 1 | ACA 1 1 1 1 1 1 | Lys AAA 14 14 14 14 14 14 | Arg AGA 4 4 4 4 4 4
Met ATG 6 6 6 6 6 6 | ACG 0 0 0 0 0 0 | AAG 16 16 16 16 16 16 | AGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 20 20 21 20 21 20 | Ala GCT 18 18 18 18 18 18 | Asp GAT 21 22 20 21 20 21 | Gly GGT 13 13 13 13 13 13
GTC 3 3 3 3 3 3 | GCC 3 3 3 3 3 3 | GAC 3 2 4 3 4 3 | GGC 0 0 0 0 0 0
GTA 3 3 3 3 3 3 | GCA 1 1 1 1 1 1 | Glu GAA 8 8 8 8 8 8 | GGA 1 1 1 1 1 1
GTG 1 1 1 1 1 1 | GCG 1 1 0 1 0 1 | GAG 9 9 9 9 9 9 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 10 10 10 | Ser TCT 21 22 21 22 22 22 | Tyr TAT 3 3 3 4 3 3 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 4 4 4 | TCC 1 1 1 1 1 1 | TAC 4 4 4 3 4 4 | TGC 1 1 1 1 1 1
Leu TTA 3 3 3 3 3 3 | TCA 11 11 11 11 11 11 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 9 9 9 9 9 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 12 11 12 11 11 11 | Pro CCT 19 20 19 20 20 20 | His CAT 4 4 4 4 4 4 | Arg CGT 13 13 13 13 13 13
CTC 1 1 1 1 1 1 | CCC 4 3 4 3 3 3 | CAC 1 1 1 1 1 1 | CGC 4 4 4 4 4 4
CTA 1 1 1 1 1 1 | CCA 6 6 6 6 6 6 | Gln CAA 6 6 6 6 6 6 | CGA 1 1 1 1 1 1
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 14 14 14 14 14 14 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 12 11 12 12 | Thr ACT 10 10 10 10 10 10 | Asn AAT 17 17 17 17 17 17 | Ser AGT 9 8 9 8 8 9
ATC 1 1 1 2 1 1 | ACC 4 4 4 4 4 4 | AAC 9 9 9 9 9 9 | AGC 2 3 2 3 3 2
ATA 1 1 1 1 1 1 | ACA 1 1 1 1 1 1 | Lys AAA 14 14 14 14 14 13 | Arg AGA 4 4 4 4 4 4
Met ATG 6 6 6 6 6 6 | ACG 0 0 0 0 0 0 | AAG 16 16 16 16 16 17 | AGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 21 20 21 20 20 20 | Ala GCT 18 18 18 18 18 18 | Asp GAT 20 21 20 21 21 21 | Gly GGT 13 13 13 13 13 13
GTC 3 3 3 3 3 3 | GCC 3 3 3 3 3 3 | GAC 4 3 4 3 3 3 | GGC 0 0 0 0 0 0
GTA 3 3 3 3 3 3 | GCA 1 1 1 1 1 1 | Glu GAA 8 8 8 8 8 8 | GGA 1 1 1 1 1 1
GTG 1 1 1 1 1 1 | GCG 0 1 0 1 1 1 | GAG 9 9 9 9 9 9 | GGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 10 10 10 | Ser TCT 21 21 22 21 22 22 | Tyr TAT 3 3 4 3 4 4 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 4 4 4 | TCC 1 1 1 1 1 1 | TAC 4 4 3 4 3 3 | TGC 1 1 1 1 1 1
Leu TTA 3 3 3 3 3 3 | TCA 11 11 11 11 11 11 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 9 9 9 9 9 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 12 12 11 12 12 11 | Pro CCT 19 19 20 19 18 20 | His CAT 4 4 4 4 4 4 | Arg CGT 13 13 13 13 13 13
CTC 1 1 1 1 1 1 | CCC 4 4 3 4 4 3 | CAC 1 1 1 1 1 1 | CGC 4 4 4 4 4 4
CTA 1 1 1 1 1 1 | CCA 6 6 6 6 6 6 | Gln CAA 6 6 6 6 6 6 | CGA 1 1 1 1 1 1
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 14 14 14 14 14 14 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 12 11 12 11 11 | Thr ACT 10 10 10 10 10 10 | Asn AAT 17 16 17 17 17 17 | Ser AGT 9 9 8 9 8 8
ATC 1 1 2 1 2 2 | ACC 4 4 4 4 4 4 | AAC 9 10 9 9 9 9 | AGC 2 2 3 2 3 3
ATA 1 1 1 1 1 1 | ACA 1 1 1 1 1 1 | Lys AAA 14 14 14 14 14 14 | Arg AGA 4 4 4 4 4 4
Met ATG 6 6 6 6 6 6 | ACG 0 0 0 0 0 0 | AAG 16 16 16 16 16 16 | AGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 21 21 20 21 20 20 | Ala GCT 18 18 18 18 18 18 | Asp GAT 19 20 21 19 21 21 | Gly GGT 13 13 13 13 12 13
GTC 3 3 3 3 3 3 | GCC 3 3 3 3 3 3 | GAC 5 4 3 5 3 3 | GGC 0 0 0 0 0 0
GTA 3 3 3 3 3 3 | GCA 1 1 1 1 1 1 | Glu GAA 8 8 8 8 8 8 | GGA 1 1 1 1 1 1
GTG 1 1 1 1 1 1 | GCG 0 0 1 0 1 1 | GAG 9 9 9 9 9 9 | GGG 2 2 2 2 3 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 11 10 9 | Ser TCT 22 22 22 22 22 22 | Tyr TAT 3 4 3 3 4 3 | Cys TGT 0 0 0 0 0 0
TTC 4 4 4 4 4 5 | TCC 1 1 1 1 1 1 | TAC 4 3 4 4 3 4 | TGC 1 1 1 1 1 1
Leu TTA 3 3 3 3 3 3 | TCA 11 11 11 10 11 11 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 9 9 9 9 9 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 11 11 10 11 11 | Pro CCT 20 20 20 20 20 20 | His CAT 4 3 4 4 4 4 | Arg CGT 13 13 14 13 13 14
CTC 1 1 1 1 1 1 | CCC 3 3 3 3 3 3 | CAC 1 2 1 1 1 1 | CGC 4 4 3 4 4 3
CTA 1 1 1 1 1 1 | CCA 6 6 6 7 6 6 | Gln CAA 7 6 6 6 6 6 | CGA 1 1 1 1 1 1
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 13 14 14 14 14 14 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 12 11 11 12 11 12 | Thr ACT 10 10 11 10 10 10 | Asn AAT 17 18 17 17 17 18 | Ser AGT 8 8 8 7 8 8
ATC 1 2 1 1 2 1 | ACC 4 4 4 4 4 4 | AAC 9 8 9 10 9 8 | AGC 3 3 3 3 3 3
ATA 1 1 1 1 1 1 | ACA 1 1 1 1 1 1 | Lys AAA 14 14 14 14 14 14 | Arg AGA 4 4 4 4 4 4
Met ATG 6 6 6 6 6 6 | ACG 0 0 0 0 0 0 | AAG 16 16 16 16 16 16 | AGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 20 20 20 20 21 20 | Ala GCT 18 18 18 18 18 18 | Asp GAT 21 21 20 21 21 20 | Gly GGT 13 13 13 13 13 13
GTC 3 3 3 3 2 3 | GCC 3 3 3 3 3 3 | GAC 3 3 4 3 3 4 | GGC 0 0 0 0 0 0
GTA 3 3 3 3 3 3 | GCA 1 1 1 1 1 1 | Glu GAA 8 8 7 8 8 7 | GGA 1 1 1 1 1 2
GTG 1 1 1 1 1 1 | GCG 1 1 1 1 1 1 | GAG 9 9 10 9 9 10 | GGG 2 2 2 2 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C52
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#2: C2
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.23077 C:0.26790 A:0.34218 G:0.15915
position 3: T:0.53846 C:0.11671 A:0.16180 G:0.18302
Average T:0.32184 C:0.20336 A:0.26614 G:0.20866
#3: C34
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12202 A:0.16180 G:0.18302
Average T:0.31919 C:0.20601 A:0.26614 G:0.20866
#4: C9
position 1: T:0.19098 C:0.22812 A:0.29443 G:0.28647
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53050 C:0.12467 A:0.16446 G:0.18037
Average T:0.31830 C:0.20601 A:0.26702 G:0.20866
#5: C5
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12467 A:0.16180 G:0.18037
Average T:0.32007 C:0.20601 A:0.26614 G:0.20778
#6: C1
position 1: T:0.19363 C:0.22812 A:0.29178 G:0.28647
position 2: T:0.23077 C:0.26790 A:0.34218 G:0.15915
position 3: T:0.53846 C:0.11936 A:0.16180 G:0.18037
Average T:0.32095 C:0.20513 A:0.26525 G:0.20866
#7: C42
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#8: C33
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12202 A:0.16180 G:0.18302
Average T:0.31919 C:0.20601 A:0.26614 G:0.20866
#9: C11
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12467 A:0.16180 G:0.18037
Average T:0.32007 C:0.20601 A:0.26614 G:0.20778
#10: C23
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#11: C20
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.12202 A:0.16180 G:0.18037
Average T:0.32095 C:0.20513 A:0.26614 G:0.20778
#12: C45
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53846 C:0.11671 A:0.16180 G:0.18302
Average T:0.32095 C:0.20424 A:0.26614 G:0.20866
#13: C22
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.12202 A:0.16180 G:0.18037
Average T:0.32095 C:0.20513 A:0.26614 G:0.20778
#14: C54
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#15: C21
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.12202 A:0.16180 G:0.18037
Average T:0.32095 C:0.20513 A:0.26614 G:0.20778
#16: C28
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#17: C3
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#18: C58
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53846 C:0.11671 A:0.15915 G:0.18568
Average T:0.32095 C:0.20424 A:0.26525 G:0.20955
#19: C10
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12467 A:0.16180 G:0.18037
Average T:0.32007 C:0.20601 A:0.26614 G:0.20778
#20: C14
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12467 A:0.16180 G:0.18037
Average T:0.32007 C:0.20601 A:0.26614 G:0.20778
#21: C46
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#22: C8
position 1: T:0.19363 C:0.22812 A:0.29443 G:0.28382
position 2: T:0.23342 C:0.26525 A:0.34218 G:0.15915
position 3: T:0.53316 C:0.12467 A:0.16180 G:0.18037
Average T:0.32007 C:0.20601 A:0.26614 G:0.20778
#23: C15
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.23077 C:0.26790 A:0.34218 G:0.15915
position 3: T:0.53050 C:0.12202 A:0.16180 G:0.18568
Average T:0.31919 C:0.20513 A:0.26614 G:0.20955
#24: C26
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#25: C51
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16446 G:0.18037
Average T:0.32007 C:0.20513 A:0.26702 G:0.20778
#26: C40
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
#27: C36
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22546 C:0.27321 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.15915 G:0.18568
Average T:0.31919 C:0.20601 A:0.26525 G:0.20955
#28: C6
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34483 G:0.15650
position 3: T:0.53316 C:0.12202 A:0.16180 G:0.18302
Average T:0.31919 C:0.20601 A:0.26702 G:0.20778
#29: C37
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53846 C:0.11671 A:0.16180 G:0.18302
Average T:0.32095 C:0.20424 A:0.26614 G:0.20866
#30: C24
position 1: T:0.19629 C:0.22546 A:0.29443 G:0.28382
position 2: T:0.22812 C:0.27056 A:0.34218 G:0.15915
position 3: T:0.53581 C:0.11936 A:0.16180 G:0.18302
Average T:0.32007 C:0.20513 A:0.26614 G:0.20866
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 301 | Ser S TCT 648 | Tyr Y TAT 100 | Cys C TGT 0
TTC 121 | TCC 31 | TAC 110 | TGC 29
Leu L TTA 90 | TCA 329 | *** * TAA 0 | *** * TGA 0
TTG 270 | TCG 30 | TAG 0 | Trp W TGG 150
------------------------------------------------------------------------------
Leu L CTT 340 | Pro P CCT 588 | His H CAT 119 | Arg R CGT 391
CTC 30 | CCC 101 | CAC 31 | CGC 119
CTA 30 | CCA 181 | Gln Q CAA 181 | CGA 30
CTG 0 | CCG 0 | CAG 419 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 349 | Thr T ACT 301 | Asn N AAT 508 | Ser S AGT 250
ATC 39 | ACC 120 | AAC 273 | AGC 79
ATA 30 | ACA 30 | Lys K AAA 419 | Arg R AGA 120
Met M ATG 180 | ACG 0 | AAG 481 | AGG 150
------------------------------------------------------------------------------
Val V GTT 610 | Ala A GCT 541 | Asp D GAT 619 | Gly G GGT 388
GTC 90 | GCC 90 | GAC 101 | GGC 1
GTA 90 | GCA 30 | Glu E GAA 238 | GGA 32
GTG 30 | GCG 20 | GAG 272 | GGG 60
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.19531 C:0.22635 A:0.29434 G:0.28400
position 2: T:0.22989 C:0.26879 A:0.34226 G:0.15906
position 3: T:0.53519 C:0.12069 A:0.16180 G:0.18232
Average T:0.32013 C:0.20528 A:0.26614 G:0.20846
Model 1: NearlyNeutral (2 categories)
TREE # 1: (6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
lnL(ntime: 39 np: 42): -1789.422139 +0.000000
31..6 31..32 32..33 33..34 34..35 35..23 35..2 35..10 35..24 35..16 35..29 35..26 35..7 35..21 34..12 33..36 36..30 36..27 33..17 33..8 33..3 33..25 33..1 33..14 33..28 32..18 31..37 37..38 38..39 39..19 39..22 38..9 38..20 38..40 40..11 40..15 40..13 38..5 37..4
0.005532 0.008379 0.002715 0.008206 0.002720 0.008189 0.005460 0.000004 0.000004 0.000004 0.002719 0.005449 0.000004 0.000004 0.000004 0.008305 0.008306 0.002615 0.000004 0.008193 0.002709 0.002715 0.000004 0.000004 0.010920 0.002739 0.008363 0.002544 0.002685 0.002685 0.002685 0.000004 0.000004 0.002694 0.000004 0.000004 0.000004 0.000004 0.008329 13.452492 0.893979 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.125916
(6: 0.005532, ((((23: 0.008189, 2: 0.005460, 10: 0.000004, 24: 0.000004, 16: 0.000004, 29: 0.002719, 26: 0.005449, 7: 0.000004, 21: 0.000004): 0.002720, 12: 0.000004): 0.008206, (30: 0.008306, 27: 0.002615): 0.008305, 17: 0.000004, 8: 0.008193, 3: 0.002709, 25: 0.002715, 1: 0.000004, 14: 0.000004, 28: 0.010920): 0.002715, 18: 0.002739): 0.008379, (((19: 0.002685, 22: 0.002685): 0.002685, 9: 0.000004, 20: 0.000004, (11: 0.000004, 15: 0.000004, 13: 0.000004): 0.002694, 5: 0.000004): 0.002544, 4: 0.008329): 0.008363);
(C1: 0.005532, ((((C15: 0.008189, C2: 0.005460, C23: 0.000004, C26: 0.000004, C28: 0.000004, C37: 0.002719, C40: 0.005449, C42: 0.000004, C46: 0.000004): 0.002720, C45: 0.000004): 0.008206, (C24: 0.008306, C36: 0.002615): 0.008305, C3: 0.000004, C33: 0.008193, C34: 0.002709, C51: 0.002715, C52: 0.000004, C54: 0.000004, C6: 0.010920): 0.002715, C58: 0.002739): 0.008379, (((C10: 0.002685, C8: 0.002685): 0.002685, C11: 0.000004, C14: 0.000004, (C20: 0.000004, C21: 0.000004, C22: 0.000004): 0.002694, C5: 0.000004): 0.002544, C9: 0.008329): 0.008363);
Detailed output identifying parameters
kappa (ts/tv) = 13.45249
MLEs of dN/dS (w) for site classes (K=2)
p: 0.89398 0.10602
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.006 899.3 231.7 0.1060 0.0007 0.0064 0.6 1.5
31..32 0.008 899.3 231.7 0.1060 0.0010 0.0097 0.9 2.2
32..33 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
33..34 0.008 899.3 231.7 0.1060 0.0010 0.0095 0.9 2.2
34..35 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
35..23 0.008 899.3 231.7 0.1060 0.0010 0.0094 0.9 2.2
35..2 0.005 899.3 231.7 0.1060 0.0007 0.0063 0.6 1.5
35..10 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
35..24 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
35..16 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
35..29 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
35..26 0.005 899.3 231.7 0.1060 0.0007 0.0063 0.6 1.5
35..7 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
35..21 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
34..12 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
33..36 0.008 899.3 231.7 0.1060 0.0010 0.0096 0.9 2.2
36..30 0.008 899.3 231.7 0.1060 0.0010 0.0096 0.9 2.2
36..27 0.003 899.3 231.7 0.1060 0.0003 0.0030 0.3 0.7
33..17 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
33..8 0.008 899.3 231.7 0.1060 0.0010 0.0094 0.9 2.2
33..3 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
33..25 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
33..1 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
33..14 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
33..28 0.011 899.3 231.7 0.1060 0.0013 0.0126 1.2 2.9
32..18 0.003 899.3 231.7 0.1060 0.0003 0.0032 0.3 0.7
31..37 0.008 899.3 231.7 0.1060 0.0010 0.0096 0.9 2.2
37..38 0.003 899.3 231.7 0.1060 0.0003 0.0029 0.3 0.7
38..39 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
39..19 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
39..22 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
38..9 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
38..20 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
38..40 0.003 899.3 231.7 0.1060 0.0003 0.0031 0.3 0.7
40..11 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
40..15 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
40..13 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
38..5 0.000 899.3 231.7 0.1060 0.0000 0.0000 0.0 0.0
37..4 0.008 899.3 231.7 0.1060 0.0010 0.0096 0.9 2.2
Time used: 2:23
Model 2: PositiveSelection (3 categories)
TREE # 1: (6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
lnL(ntime: 39 np: 44): -1789.420516 +0.000000
31..6 31..32 32..33 33..34 34..35 35..23 35..2 35..10 35..24 35..16 35..29 35..26 35..7 35..21 34..12 33..36 36..30 36..27 33..17 33..8 33..3 33..25 33..1 33..14 33..28 32..18 31..37 37..38 38..39 39..19 39..22 38..9 38..20 38..40 40..11 40..15 40..13 38..5 37..4
0.005536 0.008382 0.002716 0.008209 0.002720 0.008192 0.005462 0.000004 0.000004 0.000004 0.002720 0.005450 0.000004 0.000004 0.000004 0.008313 0.008314 0.002611 0.000004 0.008196 0.002709 0.002716 0.000004 0.000004 0.010925 0.002739 0.008366 0.002546 0.002686 0.002686 0.002686 0.000004 0.000004 0.002694 0.000004 0.000004 0.000004 0.000004 0.008333 13.478341 0.897055 0.000004 0.000001 1.040508
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.125967
(6: 0.005536, ((((23: 0.008192, 2: 0.005462, 10: 0.000004, 24: 0.000004, 16: 0.000004, 29: 0.002720, 26: 0.005450, 7: 0.000004, 21: 0.000004): 0.002720, 12: 0.000004): 0.008209, (30: 0.008314, 27: 0.002611): 0.008313, 17: 0.000004, 8: 0.008196, 3: 0.002709, 25: 0.002716, 1: 0.000004, 14: 0.000004, 28: 0.010925): 0.002716, 18: 0.002739): 0.008382, (((19: 0.002686, 22: 0.002686): 0.002686, 9: 0.000004, 20: 0.000004, (11: 0.000004, 15: 0.000004, 13: 0.000004): 0.002694, 5: 0.000004): 0.002546, 4: 0.008333): 0.008366);
(C1: 0.005536, ((((C15: 0.008192, C2: 0.005462, C23: 0.000004, C26: 0.000004, C28: 0.000004, C37: 0.002720, C40: 0.005450, C42: 0.000004, C46: 0.000004): 0.002720, C45: 0.000004): 0.008209, (C24: 0.008314, C36: 0.002611): 0.008313, C3: 0.000004, C33: 0.008196, C34: 0.002709, C51: 0.002716, C52: 0.000004, C54: 0.000004, C6: 0.010925): 0.002716, C58: 0.002739): 0.008382, (((C10: 0.002686, C8: 0.002686): 0.002686, C11: 0.000004, C14: 0.000004, (C20: 0.000004, C21: 0.000004, C22: 0.000004): 0.002694, C5: 0.000004): 0.002546, C9: 0.008333): 0.008366);
Detailed output identifying parameters
kappa (ts/tv) = 13.47834
MLEs of dN/dS (w) for site classes (K=3)
p: 0.89706 0.00000 0.10294
w: 0.00000 1.00000 1.04051
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.006 899.3 231.7 0.1071 0.0007 0.0064 0.6 1.5
31..32 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
32..33 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..34 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
34..35 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
35..23 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
35..2 0.005 899.3 231.7 0.1071 0.0007 0.0063 0.6 1.5
35..10 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..24 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..16 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..29 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
35..26 0.005 899.3 231.7 0.1071 0.0007 0.0063 0.6 1.5
35..7 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..21 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
34..12 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..36 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
36..30 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
36..27 0.003 899.3 231.7 0.1071 0.0003 0.0030 0.3 0.7
33..17 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..8 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
33..3 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..25 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..1 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..14 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..28 0.011 899.3 231.7 0.1071 0.0013 0.0126 1.2 2.9
32..18 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
31..37 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
37..38 0.003 899.3 231.7 0.1071 0.0003 0.0029 0.3 0.7
38..39 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
39..19 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
39..22 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
38..9 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..20 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..40 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
40..11 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
40..15 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
40..13 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..5 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
37..4 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
3 S 1.000** 1.040
95 S 1.000** 1.041
129 I 1.000** 1.040
164 S 1.000** 1.040
205 P 1.000** 1.040
220 L 1.000** 1.040
249 C 1.000** 1.040
335 I 1.000** 1.040
342 S 1.000** 1.040
345 V 1.000** 1.040
346 A 1.000** 1.041
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
95 S 0.697 1.986 +- 1.247
346 A 0.662 1.903 +- 1.206
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: 0.997 0.003 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.516 0.280 0.120 0.049 0.020 0.009 0.004 0.002 0.001 0.001
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 0.013
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 0.028 0.958
sum of density on p0-p1 = 1.000000
Time used: 9:34
Model 7: beta (10 categories)
TREE # 1: (6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
check convergence..
lnL(ntime: 39 np: 42): -1789.437266 +0.000000
31..6 31..32 32..33 33..34 34..35 35..23 35..2 35..10 35..24 35..16 35..29 35..26 35..7 35..21 34..12 33..36 36..30 36..27 33..17 33..8 33..3 33..25 33..1 33..14 33..28 32..18 31..37 37..38 38..39 39..19 39..22 38..9 38..20 38..40 40..11 40..15 40..13 38..5 37..4
0.005513 0.008352 0.002705 0.008178 0.002710 0.008160 0.005440 0.000004 0.000004 0.000004 0.002710 0.005429 0.000004 0.000004 0.000004 0.008272 0.008274 0.002607 0.000004 0.008163 0.002698 0.002705 0.000004 0.000004 0.010878 0.002729 0.008335 0.002533 0.002675 0.002675 0.002675 0.000004 0.000004 0.002683 0.000004 0.000004 0.000004 0.000004 0.008299 13.331481 0.005214 0.035255
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.125458
(6: 0.005513, ((((23: 0.008160, 2: 0.005440, 10: 0.000004, 24: 0.000004, 16: 0.000004, 29: 0.002710, 26: 0.005429, 7: 0.000004, 21: 0.000004): 0.002710, 12: 0.000004): 0.008178, (30: 0.008274, 27: 0.002607): 0.008272, 17: 0.000004, 8: 0.008163, 3: 0.002698, 25: 0.002705, 1: 0.000004, 14: 0.000004, 28: 0.010878): 0.002705, 18: 0.002729): 0.008352, (((19: 0.002675, 22: 0.002675): 0.002675, 9: 0.000004, 20: 0.000004, (11: 0.000004, 15: 0.000004, 13: 0.000004): 0.002683, 5: 0.000004): 0.002533, 4: 0.008299): 0.008335);
(C1: 0.005513, ((((C15: 0.008160, C2: 0.005440, C23: 0.000004, C26: 0.000004, C28: 0.000004, C37: 0.002710, C40: 0.005429, C42: 0.000004, C46: 0.000004): 0.002710, C45: 0.000004): 0.008178, (C24: 0.008274, C36: 0.002607): 0.008272, C3: 0.000004, C33: 0.008163, C34: 0.002698, C51: 0.002705, C52: 0.000004, C54: 0.000004, C6: 0.010878): 0.002705, C58: 0.002729): 0.008352, (((C10: 0.002675, C8: 0.002675): 0.002675, C11: 0.000004, C14: 0.000004, (C20: 0.000004, C21: 0.000004, C22: 0.000004): 0.002683, C5: 0.000004): 0.002533, C9: 0.008299): 0.008335);
Detailed output identifying parameters
kappa (ts/tv) = 13.33148
Parameters in M7 (beta):
p = 0.00521 q = 0.03526
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00839 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.006 899.4 231.6 0.1008 0.0007 0.0064 0.6 1.5
31..32 0.008 899.4 231.6 0.1008 0.0010 0.0098 0.9 2.3
32..33 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
33..34 0.008 899.4 231.6 0.1008 0.0010 0.0096 0.9 2.2
34..35 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
35..23 0.008 899.4 231.6 0.1008 0.0010 0.0095 0.9 2.2
35..2 0.005 899.4 231.6 0.1008 0.0006 0.0064 0.6 1.5
35..10 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
35..24 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
35..16 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
35..29 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
35..26 0.005 899.4 231.6 0.1008 0.0006 0.0064 0.6 1.5
35..7 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
35..21 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
34..12 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
33..36 0.008 899.4 231.6 0.1008 0.0010 0.0097 0.9 2.2
36..30 0.008 899.4 231.6 0.1008 0.0010 0.0097 0.9 2.2
36..27 0.003 899.4 231.6 0.1008 0.0003 0.0030 0.3 0.7
33..17 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
33..8 0.008 899.4 231.6 0.1008 0.0010 0.0096 0.9 2.2
33..3 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
33..25 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
33..1 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
33..14 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
33..28 0.011 899.4 231.6 0.1008 0.0013 0.0127 1.2 2.9
32..18 0.003 899.4 231.6 0.1008 0.0003 0.0032 0.3 0.7
31..37 0.008 899.4 231.6 0.1008 0.0010 0.0098 0.9 2.3
37..38 0.003 899.4 231.6 0.1008 0.0003 0.0030 0.3 0.7
38..39 0.003 899.4 231.6 0.1008 0.0003 0.0031 0.3 0.7
39..19 0.003 899.4 231.6 0.1008 0.0003 0.0031 0.3 0.7
39..22 0.003 899.4 231.6 0.1008 0.0003 0.0031 0.3 0.7
38..9 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
38..20 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
38..40 0.003 899.4 231.6 0.1008 0.0003 0.0031 0.3 0.7
40..11 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
40..15 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
40..13 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
38..5 0.000 899.4 231.6 0.1008 0.0000 0.0000 0.0 0.0
37..4 0.008 899.4 231.6 0.1008 0.0010 0.0097 0.9 2.2
Time used: 24:19
Model 8: beta&w>1 (11 categories)
TREE # 1: (6, ((((23, 2, 10, 24, 16, 29, 26, 7, 21), 12), (30, 27), 17, 8, 3, 25, 1, 14, 28), 18), (((19, 22), 9, 20, (11, 15, 13), 5), 4)); MP score: 45
lnL(ntime: 39 np: 44): -1789.420516 +0.000000
31..6 31..32 32..33 33..34 34..35 35..23 35..2 35..10 35..24 35..16 35..29 35..26 35..7 35..21 34..12 33..36 36..30 36..27 33..17 33..8 33..3 33..25 33..1 33..14 33..28 32..18 31..37 37..38 38..39 39..19 39..22 38..9 38..20 38..40 40..11 40..15 40..13 38..5 37..4
0.005537 0.008382 0.002716 0.008209 0.002721 0.008192 0.005462 0.000004 0.000004 0.000004 0.002720 0.005451 0.000004 0.000004 0.000004 0.008313 0.008314 0.002611 0.000004 0.008196 0.002710 0.002716 0.000004 0.000004 0.010925 0.002740 0.008366 0.002546 0.002686 0.002686 0.002686 0.000004 0.000004 0.002695 0.000004 0.000004 0.000004 0.000004 0.008333 13.478325 0.897054 0.005000 2.480693 1.040488
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.125973
(6: 0.005537, ((((23: 0.008192, 2: 0.005462, 10: 0.000004, 24: 0.000004, 16: 0.000004, 29: 0.002720, 26: 0.005451, 7: 0.000004, 21: 0.000004): 0.002721, 12: 0.000004): 0.008209, (30: 0.008314, 27: 0.002611): 0.008313, 17: 0.000004, 8: 0.008196, 3: 0.002710, 25: 0.002716, 1: 0.000004, 14: 0.000004, 28: 0.010925): 0.002716, 18: 0.002740): 0.008382, (((19: 0.002686, 22: 0.002686): 0.002686, 9: 0.000004, 20: 0.000004, (11: 0.000004, 15: 0.000004, 13: 0.000004): 0.002695, 5: 0.000004): 0.002546, 4: 0.008333): 0.008366);
(C1: 0.005537, ((((C15: 0.008192, C2: 0.005462, C23: 0.000004, C26: 0.000004, C28: 0.000004, C37: 0.002720, C40: 0.005451, C42: 0.000004, C46: 0.000004): 0.002721, C45: 0.000004): 0.008209, (C24: 0.008314, C36: 0.002611): 0.008313, C3: 0.000004, C33: 0.008196, C34: 0.002710, C51: 0.002716, C52: 0.000004, C54: 0.000004, C6: 0.010925): 0.002716, C58: 0.002740): 0.008382, (((C10: 0.002686, C8: 0.002686): 0.002686, C11: 0.000004, C14: 0.000004, (C20: 0.000004, C21: 0.000004, C22: 0.000004): 0.002695, C5: 0.000004): 0.002546, C9: 0.008333): 0.008366);
Detailed output identifying parameters
kappa (ts/tv) = 13.47833
Parameters in M8 (beta&w>1):
p0 = 0.89705 p = 0.00500 q = 2.48069
(p1 = 0.10295) w = 1.04049
MLEs of dN/dS (w) for site classes (K=11)
p: 0.08971 0.08971 0.08971 0.08971 0.08971 0.08971 0.08971 0.08971 0.08971 0.08971 0.10295
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 1.04049
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..6 0.006 899.3 231.7 0.1071 0.0007 0.0064 0.6 1.5
31..32 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
32..33 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..34 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
34..35 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
35..23 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
35..2 0.005 899.3 231.7 0.1071 0.0007 0.0063 0.6 1.5
35..10 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..24 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..16 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..29 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
35..26 0.005 899.3 231.7 0.1071 0.0007 0.0063 0.6 1.5
35..7 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
35..21 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
34..12 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..36 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
36..30 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
36..27 0.003 899.3 231.7 0.1071 0.0003 0.0030 0.3 0.7
33..17 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..8 0.008 899.3 231.7 0.1071 0.0010 0.0094 0.9 2.2
33..3 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..25 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
33..1 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..14 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
33..28 0.011 899.3 231.7 0.1071 0.0013 0.0126 1.2 2.9
32..18 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
31..37 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
37..38 0.003 899.3 231.7 0.1071 0.0003 0.0029 0.3 0.7
38..39 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
39..19 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
39..22 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
38..9 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..20 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..40 0.003 899.3 231.7 0.1071 0.0003 0.0031 0.3 0.7
40..11 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
40..15 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
40..13 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
38..5 0.000 899.3 231.7 0.1071 0.0000 0.0000 0.0 0.0
37..4 0.008 899.3 231.7 0.1071 0.0010 0.0096 0.9 2.2
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
3 S 1.000** 1.040
95 S 1.000** 1.040
129 I 1.000** 1.040
164 S 1.000** 1.040
205 P 1.000** 1.040
220 L 1.000** 1.040
249 C 1.000** 1.040
335 I 1.000** 1.040
342 S 1.000** 1.040
345 V 1.000** 1.040
346 A 1.000** 1.040
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
95 S 0.771 1.569 +- 0.851
346 A 0.743 1.524 +- 0.856
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 : 0.989 0.010 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.001 0.009 0.033 0.075 0.129 0.189 0.251 0.314
ws: 0.744 0.195 0.045 0.011 0.003 0.001 0.000 0.000 0.000 0.000
Time used: 39:23
Model 1: NearlyNeutral -1789.422139 Model 2: PositiveSelection -1789.420516 Model 7: beta -1789.437266 Model 8: beta&w>1 -1789.420516 Model 2 vs 1 .003246 Model 8 vs 7 .033500
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
