--- EXPERIMENT NOTES
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken
#
### General parameters ###
#
# The maximum number of sequences to use for the master file
sequence_limit=90
# The random seed
random_seed=3976763
#
### Alignment ###
#
# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle
# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3
#
### MrBayes ###
#
# Number of iterations in MrBayes
mrbayes_generations=1000000
# MrBayes burnin
mrbayes_burnin=2500
#
### FUBAR ###
#
# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90
# The number of FUBAR runs
fubar_runs=1
#
### codeML ###
#
# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30
# The number of CodeML runs
codeml_runs=1
# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8
#
### OmegaMap ###
#
# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90
# The number of OmegaMap runs
omegamap_runs=1
# The number of OmegaMap iterations
omegamap_iterations=2500
--- EXPERIMENT PROPERTIES
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1900.35 -1926.59
2 -1897.86 -1925.36
--------------------------------------
TOTAL -1898.47 -1926.15
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.084306 0.000256 0.055029 0.115905 0.082714 1056.45 1151.05 1.000
r(A<->C){all} 0.049620 0.000514 0.010752 0.091629 0.045951 597.33 729.85 1.002
r(A<->G){all} 0.135237 0.001969 0.061439 0.231267 0.129683 480.54 542.63 1.000
r(A<->T){all} 0.025012 0.000382 0.000006 0.063761 0.020645 465.78 595.44 1.002
r(C<->G){all} 0.046947 0.000596 0.006201 0.094274 0.043176 741.65 746.82 1.000
r(C<->T){all} 0.645530 0.004078 0.523578 0.774151 0.647242 531.82 572.09 1.000
r(G<->T){all} 0.097654 0.001605 0.029480 0.176098 0.091904 390.31 442.48 1.000
pi(A){all} 0.280728 0.000190 0.254682 0.307842 0.280668 1135.16 1140.70 1.000
pi(C){all} 0.276865 0.000186 0.250129 0.302900 0.276790 1065.50 1152.47 1.000
pi(G){all} 0.222465 0.000170 0.199146 0.250210 0.222550 1155.44 1176.51 1.000
pi(T){all} 0.219941 0.000152 0.196327 0.244465 0.219729 1105.34 1120.18 1.000
alpha{1,2} 0.384920 0.232241 0.000233 1.208362 0.240684 991.54 1030.43 1.000
alpha{3} 1.473955 1.118861 0.001804 3.488639 1.201474 948.77 968.71 1.002
pinvar{all} 0.730174 0.008879 0.548103 0.877043 0.748539 586.59 663.84 1.002
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Tue Nov 08 20:15:01 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:13 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:01 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:41:19 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/gapped_alignment/fubar,NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 58 taxa and 1026 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C1
Taxon 2 -> C10
Taxon 3 -> C11
Taxon 4 -> C12
Taxon 5 -> C13
Taxon 6 -> C14
Taxon 7 -> C15
Taxon 8 -> C16
Taxon 9 -> C17
Taxon 10 -> C18
Taxon 11 -> C19
Taxon 12 -> C2
Taxon 13 -> C20
Taxon 14 -> C21
Taxon 15 -> C22
Taxon 16 -> C23
Taxon 17 -> C24
Taxon 18 -> C25
Taxon 19 -> C26
Taxon 20 -> C27
Taxon 21 -> C28
Taxon 22 -> C29
Taxon 23 -> C3
Taxon 24 -> C30
Taxon 25 -> C31
Taxon 26 -> C32
Taxon 27 -> C33
Taxon 28 -> C34
Taxon 29 -> C35
Taxon 30 -> C36
Taxon 31 -> C37
Taxon 32 -> C38
Taxon 33 -> C39
Taxon 34 -> C4
Taxon 35 -> C40
Taxon 36 -> C41
Taxon 37 -> C42
Taxon 38 -> C43
Taxon 39 -> C44
Taxon 40 -> C45
Taxon 41 -> C46
Taxon 42 -> C47
Taxon 43 -> C48
Taxon 44 -> C49
Taxon 45 -> C5
Taxon 46 -> C50
Taxon 47 -> C51
Taxon 48 -> C52
Taxon 49 -> C53
Taxon 50 -> C54
Taxon 51 -> C55
Taxon 52 -> C56
Taxon 53 -> C57
Taxon 54 -> C58
Taxon 55 -> C6
Taxon 56 -> C7
Taxon 57 -> C8
Taxon 58 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667940082
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) = 1539300503
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 = 9106610585
Seed = 1964617225
Swapseed = 1667940082
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 12 unique site patterns
Division 2 has 11 unique site patterns
Division 3 has 48 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 -- -4055.838630 -- 121.898846
Chain 2 -- -3920.154726 -- 121.898846
Chain 3 -- -4048.160593 -- 121.898846
Chain 4 -- -4089.907557 -- 121.898846
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -4075.511802 -- 121.898846
Chain 2 -- -4067.435549 -- 121.898846
Chain 3 -- -4035.458980 -- 121.898846
Chain 4 -- -4090.584238 -- 121.898846
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-4055.839] (-3920.155) (-4048.161) (-4089.908) * [-4075.512] (-4067.436) (-4035.459) (-4090.584)
1000 -- (-2703.292) [-2457.304] (-2528.324) (-2818.464) * (-2779.315) (-2766.401) [-2632.713] (-2619.200) -- 0:16:39
2000 -- (-2467.543) [-2259.471] (-2357.732) (-2504.529) * (-2445.704) (-2462.028) [-2336.871] (-2363.603) -- 0:16:38
3000 -- (-2312.422) (-2234.936) [-2220.513] (-2369.460) * (-2315.827) (-2257.743) [-2248.033] (-2255.872) -- 0:22:09
4000 -- (-2185.397) (-2220.026) [-2154.654] (-2214.380) * (-2245.587) [-2155.212] (-2271.586) (-2182.278) -- 0:20:45
5000 -- (-2174.913) (-2205.941) [-2150.293] (-2149.790) * (-2217.908) [-2137.072] (-2238.158) (-2155.574) -- 0:19:54
Average standard deviation of split frequencies: 0.092105
6000 -- (-2151.710) (-2176.302) (-2155.129) [-2135.044] * (-2173.623) (-2137.752) (-2236.561) [-2134.280] -- 0:19:19
7000 -- (-2164.566) (-2140.602) [-2129.590] (-2141.194) * (-2131.389) (-2143.577) (-2236.941) [-2118.493] -- 0:18:54
8000 -- (-2210.953) (-2114.124) [-2126.312] (-2136.120) * (-2143.329) (-2133.254) (-2229.222) [-2126.956] -- 0:18:36
9000 -- (-2238.034) [-2140.013] (-2122.795) (-2137.920) * (-2137.633) (-2123.876) (-2234.397) [-2115.854] -- 0:18:21
10000 -- (-2234.848) (-2148.065) (-2121.880) [-2122.630] * [-2112.949] (-2123.130) (-2242.002) (-2138.895) -- 0:18:09
Average standard deviation of split frequencies: 0.087849
11000 -- (-2241.526) (-2152.292) [-2111.353] (-2120.265) * (-2134.626) [-2120.139] (-2230.019) (-2134.012) -- 0:17:58
12000 -- (-2240.436) (-2165.910) [-2114.999] (-2123.645) * (-2130.384) [-2112.627] (-2207.439) (-2125.030) -- 0:19:12
13000 -- (-2218.453) (-2149.534) [-2112.749] (-2132.514) * (-2146.657) (-2119.726) (-2209.122) [-2112.237] -- 0:18:58
14000 -- (-2231.755) (-2159.398) (-2125.359) [-2120.250] * (-2138.190) [-2111.020] (-2214.872) (-2131.388) -- 0:18:46
15000 -- (-2226.864) (-2149.071) (-2126.344) [-2114.789] * (-2123.764) [-2120.520] (-2215.067) (-2134.799) -- 0:18:36
Average standard deviation of split frequencies: 0.078717
16000 -- (-2238.441) (-2133.799) (-2129.859) [-2118.068] * (-2153.042) [-2111.171] (-2205.948) (-2134.992) -- 0:18:27
17000 -- (-2240.878) (-2133.212) (-2114.513) [-2104.421] * (-2123.974) [-2114.417] (-2195.361) (-2132.166) -- 0:18:18
18000 -- (-2248.930) (-2148.154) (-2116.142) [-2104.393] * (-2120.499) [-2105.059] (-2211.017) (-2126.622) -- 0:18:11
19000 -- (-2212.619) (-2129.795) [-2116.311] (-2108.088) * (-2134.950) (-2118.216) (-2211.695) [-2118.883] -- 0:18:55
20000 -- (-2236.435) (-2143.721) [-2104.302] (-2118.387) * (-2126.794) (-2127.364) (-2205.112) [-2121.467] -- 0:18:47
Average standard deviation of split frequencies: 0.063909
21000 -- (-2232.249) (-2127.709) (-2109.986) [-2111.471] * (-2149.933) [-2112.337] (-2203.520) (-2114.497) -- 0:18:38
22000 -- (-2211.758) (-2137.743) (-2116.662) [-2113.648] * (-2140.049) [-2115.753] (-2205.066) (-2113.874) -- 0:18:31
23000 -- (-2222.461) (-2129.822) (-2122.985) [-2117.625] * (-2139.767) (-2129.111) (-2203.592) [-2124.051] -- 0:18:24
24000 -- (-2224.242) (-2122.670) [-2121.630] (-2121.476) * [-2114.100] (-2123.169) (-2221.593) (-2135.677) -- 0:18:18
25000 -- (-2215.029) (-2126.115) [-2129.012] (-2131.063) * (-2118.099) [-2117.008] (-2217.056) (-2139.420) -- 0:18:12
Average standard deviation of split frequencies: 0.053439
26000 -- (-2214.949) (-2134.460) [-2114.793] (-2140.521) * [-2107.904] (-2102.926) (-2223.649) (-2129.135) -- 0:18:06
27000 -- (-2214.612) (-2134.348) [-2123.272] (-2151.596) * (-2106.796) [-2117.496] (-2212.368) (-2159.252) -- 0:18:01
28000 -- (-2235.618) (-2133.567) [-2112.791] (-2132.907) * [-2109.212] (-2128.702) (-2215.275) (-2146.662) -- 0:17:56
29000 -- (-2217.456) [-2106.280] (-2126.464) (-2131.683) * (-2129.489) [-2135.640] (-2205.306) (-2159.004) -- 0:18:24
30000 -- (-2226.655) (-2120.087) (-2125.566) [-2120.409] * [-2116.708] (-2127.010) (-2211.196) (-2160.804) -- 0:18:19
Average standard deviation of split frequencies: 0.046500
31000 -- (-2227.445) [-2126.836] (-2141.290) (-2112.287) * [-2116.855] (-2118.072) (-2209.930) (-2172.784) -- 0:18:14
32000 -- (-2222.026) [-2115.059] (-2122.836) (-2125.620) * (-2132.329) [-2110.722] (-2197.841) (-2135.541) -- 0:18:09
33000 -- (-2230.165) [-2117.223] (-2116.888) (-2151.387) * (-2121.240) [-2122.307] (-2207.970) (-2140.305) -- 0:18:04
34000 -- (-2219.610) (-2127.112) [-2113.052] (-2137.550) * (-2121.140) [-2110.382] (-2195.171) (-2134.164) -- 0:17:59
35000 -- (-2245.218) (-2123.533) (-2127.200) [-2129.043] * (-2121.585) [-2131.417] (-2216.027) (-2139.375) -- 0:17:55
Average standard deviation of split frequencies: 0.041466
36000 -- (-2236.311) (-2141.483) [-2119.751] (-2108.087) * (-2132.933) [-2115.661] (-2180.990) (-2136.775) -- 0:17:51
37000 -- (-2232.625) (-2136.902) (-2123.782) [-2123.740] * [-2125.626] (-2125.016) (-2194.931) (-2138.000) -- 0:17:47
38000 -- (-2234.187) (-2133.566) (-2133.368) [-2114.751] * (-2141.789) (-2151.382) (-2201.483) [-2129.511] -- 0:17:43
39000 -- (-2233.710) (-2137.328) (-2134.859) [-2122.902] * (-2131.838) (-2149.194) (-2202.126) [-2126.186] -- 0:18:04
40000 -- (-2223.487) (-2126.625) [-2139.083] (-2116.715) * (-2143.136) (-2150.475) (-2194.649) [-2114.652] -- 0:18:00
Average standard deviation of split frequencies: 0.040799
41000 -- (-2222.059) (-2122.955) (-2149.456) [-2112.065] * (-2141.645) (-2137.260) (-2204.281) [-2124.795] -- 0:17:55
42000 -- (-2208.086) [-2130.372] (-2142.499) (-2113.964) * (-2147.902) (-2132.904) (-2208.791) [-2124.892] -- 0:17:52
43000 -- (-2218.870) [-2114.174] (-2139.909) (-2119.633) * (-2137.589) (-2132.326) (-2198.717) [-2125.212] -- 0:17:48
44000 -- (-2234.040) [-2123.190] (-2135.043) (-2134.615) * (-2148.081) [-2118.181] (-2197.676) (-2128.202) -- 0:17:44
45000 -- (-2226.173) [-2120.091] (-2120.256) (-2141.862) * (-2134.547) (-2117.180) (-2202.963) [-2122.208] -- 0:17:41
Average standard deviation of split frequencies: 0.040052
46000 -- (-2225.798) (-2120.929) (-2127.160) [-2114.823] * (-2120.967) (-2134.810) (-2217.837) [-2109.941] -- 0:17:37
47000 -- (-2216.929) (-2122.763) (-2135.045) [-2096.494] * (-2132.821) (-2125.046) (-2215.062) [-2120.108] -- 0:17:34
48000 -- (-2212.687) [-2112.218] (-2118.793) (-2123.023) * (-2142.164) (-2119.314) (-2222.105) [-2114.210] -- 0:17:51
49000 -- (-2209.397) [-2099.954] (-2133.604) (-2132.189) * (-2164.519) (-2115.160) (-2217.659) [-2130.641] -- 0:17:47
50000 -- (-2218.774) [-2115.603] (-2154.381) (-2125.637) * (-2138.024) [-2111.362] (-2227.210) (-2131.306) -- 0:17:44
Average standard deviation of split frequencies: 0.037778
51000 -- (-2222.412) (-2111.380) (-2122.866) [-2113.187] * (-2139.275) (-2120.335) (-2217.404) [-2127.393] -- 0:17:40
52000 -- (-2219.762) [-2114.983] (-2144.659) (-2126.360) * (-2149.515) (-2114.113) (-2216.319) [-2110.995] -- 0:17:37
53000 -- (-2213.104) [-2122.569] (-2140.921) (-2126.075) * (-2135.441) [-2113.044] (-2209.307) (-2125.303) -- 0:17:34
54000 -- (-2206.686) [-2122.173] (-2157.675) (-2120.340) * (-2138.751) [-2111.210] (-2224.564) (-2135.681) -- 0:17:31
55000 -- (-2220.456) (-2126.942) (-2143.281) [-2116.108] * (-2132.873) (-2115.085) (-2212.265) [-2128.248] -- 0:17:28
Average standard deviation of split frequencies: 0.039128
56000 -- (-2216.780) (-2132.810) (-2127.350) [-2111.554] * (-2123.973) (-2119.246) (-2233.325) [-2107.940] -- 0:17:25
57000 -- (-2214.015) (-2131.543) (-2144.224) [-2115.582] * (-2129.545) (-2120.588) (-2224.203) [-2116.059] -- 0:17:22
58000 -- (-2223.452) (-2106.625) (-2164.312) [-2121.563] * (-2137.302) [-2113.755] (-2218.282) (-2124.010) -- 0:17:19
59000 -- (-2217.655) [-2098.971] (-2143.871) (-2114.961) * (-2145.841) (-2113.547) (-2217.141) [-2117.353] -- 0:17:32
60000 -- (-2216.214) (-2133.418) (-2119.140) [-2117.720] * (-2147.416) (-2128.071) (-2209.951) [-2117.540] -- 0:17:29
Average standard deviation of split frequencies: 0.038067
61000 -- (-2203.298) (-2112.796) (-2139.374) [-2119.560] * (-2149.105) (-2120.890) (-2216.952) [-2111.325] -- 0:17:26
62000 -- (-2211.900) (-2128.890) [-2125.724] (-2151.702) * (-2146.744) [-2127.073] (-2217.236) (-2123.951) -- 0:17:23
63000 -- (-2213.923) [-2122.751] (-2125.257) (-2153.581) * (-2166.302) (-2121.980) (-2220.662) [-2113.943] -- 0:17:21
64000 -- (-2195.983) [-2112.317] (-2137.154) (-2151.252) * (-2154.744) (-2114.614) (-2209.478) [-2122.100] -- 0:17:18
65000 -- (-2208.397) [-2130.069] (-2158.257) (-2121.675) * (-2138.168) (-2109.580) (-2204.485) [-2125.467] -- 0:17:15
Average standard deviation of split frequencies: 0.036686
66000 -- (-2213.134) [-2127.141] (-2121.829) (-2123.981) * (-2149.984) [-2104.094] (-2206.928) (-2130.354) -- 0:17:13
67000 -- (-2215.856) [-2130.201] (-2131.575) (-2136.744) * (-2149.996) (-2123.280) (-2214.873) [-2116.458] -- 0:17:10
68000 -- (-2211.542) [-2119.672] (-2133.367) (-2157.568) * (-2151.222) (-2121.182) (-2231.471) [-2117.888] -- 0:17:07
69000 -- (-2227.770) (-2127.003) (-2116.641) [-2121.911] * (-2147.634) [-2124.656] (-2216.984) (-2127.752) -- 0:17:05
70000 -- (-2209.848) [-2117.775] (-2123.811) (-2129.982) * (-2143.422) [-2112.989] (-2211.196) (-2131.273) -- 0:17:03
Average standard deviation of split frequencies: 0.038293
71000 -- (-2209.474) (-2127.981) (-2129.649) [-2107.579] * (-2138.467) [-2113.224] (-2203.754) (-2117.714) -- 0:17:00
72000 -- (-2225.460) (-2145.422) (-2129.876) [-2118.639] * (-2138.013) [-2111.794] (-2214.594) (-2148.632) -- 0:16:58
73000 -- (-2224.133) [-2121.772] (-2128.479) (-2125.240) * (-2151.079) [-2120.442] (-2224.991) (-2130.087) -- 0:17:08
74000 -- (-2199.302) (-2147.836) (-2122.238) [-2125.397] * (-2157.825) [-2105.046] (-2208.770) (-2147.006) -- 0:17:06
75000 -- (-2204.073) (-2146.969) [-2124.452] (-2129.061) * (-2140.745) [-2101.616] (-2208.898) (-2129.289) -- 0:17:03
Average standard deviation of split frequencies: 0.036602
76000 -- (-2202.550) (-2165.031) (-2134.917) [-2131.778] * (-2121.430) [-2118.942] (-2219.020) (-2126.820) -- 0:17:01
77000 -- (-2212.458) (-2156.746) [-2117.557] (-2109.781) * (-2118.434) [-2126.065] (-2214.585) (-2146.790) -- 0:16:58
78000 -- (-2218.655) (-2126.351) (-2128.400) [-2110.297] * (-2140.299) [-2126.211] (-2202.459) (-2126.857) -- 0:16:56
79000 -- (-2203.075) (-2126.852) (-2127.703) [-2105.961] * (-2145.191) (-2119.482) (-2208.487) [-2126.916] -- 0:16:54
80000 -- (-2211.121) (-2136.796) (-2126.624) [-2098.335] * (-2146.504) [-2130.426] (-2216.863) (-2139.397) -- 0:16:52
Average standard deviation of split frequencies: 0.035180
81000 -- (-2198.409) (-2150.411) (-2124.949) [-2114.433] * (-2135.267) (-2124.110) (-2228.070) [-2115.220] -- 0:16:49
82000 -- (-2215.738) (-2156.762) (-2139.611) [-2118.393] * (-2110.785) (-2133.088) (-2215.984) [-2121.385] -- 0:16:47
83000 -- (-2205.402) (-2144.049) [-2116.688] (-2133.837) * (-2118.606) [-2110.282] (-2230.596) (-2147.097) -- 0:16:45
84000 -- (-2213.280) (-2153.582) [-2111.309] (-2128.451) * (-2130.930) [-2115.396] (-2249.197) (-2131.991) -- 0:16:54
85000 -- (-2211.034) (-2145.144) (-2124.630) [-2119.003] * (-2134.990) [-2115.222] (-2234.233) (-2128.043) -- 0:16:51
Average standard deviation of split frequencies: 0.032178
86000 -- (-2203.922) (-2137.849) [-2111.762] (-2119.573) * (-2132.308) [-2115.457] (-2223.324) (-2120.486) -- 0:16:49
87000 -- (-2204.424) (-2127.919) [-2105.474] (-2123.824) * (-2121.691) [-2113.843] (-2225.594) (-2115.929) -- 0:16:47
88000 -- (-2214.266) (-2133.328) [-2112.071] (-2133.908) * [-2119.246] (-2130.924) (-2220.314) (-2122.519) -- 0:16:45
89000 -- (-2223.769) (-2134.495) [-2120.237] (-2138.486) * (-2134.794) [-2112.635] (-2217.343) (-2118.719) -- 0:16:43
90000 -- (-2211.841) (-2152.508) [-2121.380] (-2127.004) * (-2120.756) (-2119.581) (-2234.098) [-2111.917] -- 0:16:41
Average standard deviation of split frequencies: 0.028749
91000 -- (-2212.186) (-2154.359) [-2122.101] (-2112.376) * (-2125.699) [-2106.392] (-2228.440) (-2135.306) -- 0:16:38
92000 -- (-2217.648) (-2172.168) (-2125.140) [-2115.363] * (-2142.471) [-2097.136] (-2216.099) (-2132.760) -- 0:16:36
93000 -- (-2223.859) (-2160.562) (-2139.689) [-2112.733] * (-2112.091) [-2127.254] (-2218.429) (-2144.069) -- 0:16:44
94000 -- (-2214.704) (-2135.935) [-2131.052] (-2133.516) * [-2115.241] (-2134.680) (-2206.770) (-2142.953) -- 0:16:42
95000 -- (-2220.599) (-2121.320) (-2154.395) [-2118.669] * [-2120.533] (-2143.937) (-2196.613) (-2125.994) -- 0:16:40
Average standard deviation of split frequencies: 0.028223
96000 -- (-2226.075) (-2135.160) (-2131.777) [-2104.788] * (-2151.395) (-2125.601) (-2215.776) [-2117.895] -- 0:16:38
97000 -- (-2226.610) [-2131.570] (-2152.092) (-2115.540) * (-2147.087) [-2123.645] (-2224.756) (-2120.637) -- 0:16:36
98000 -- (-2217.675) (-2134.300) (-2125.939) [-2113.608] * (-2154.347) [-2106.282] (-2213.108) (-2132.510) -- 0:16:34
99000 -- (-2208.119) [-2121.207] (-2151.188) (-2125.488) * (-2125.413) [-2120.315] (-2210.599) (-2117.278) -- 0:16:32
100000 -- (-2221.790) (-2122.865) (-2115.562) [-2129.433] * (-2137.000) [-2122.325] (-2211.436) (-2113.335) -- 0:16:30
Average standard deviation of split frequencies: 0.027340
101000 -- (-2234.335) (-2142.850) (-2122.062) [-2133.915] * (-2144.039) [-2119.704] (-2230.080) (-2131.913) -- 0:16:36
102000 -- (-2210.978) (-2122.411) (-2134.466) [-2130.206] * (-2134.655) [-2112.105] (-2218.765) (-2131.100) -- 0:16:34
103000 -- (-2199.776) [-2123.595] (-2150.012) (-2132.986) * (-2153.964) (-2112.600) (-2216.396) [-2112.987] -- 0:16:32
104000 -- (-2196.912) (-2145.887) (-2137.248) [-2103.805] * (-2133.764) (-2116.765) (-2219.420) [-2124.387] -- 0:16:30
105000 -- (-2202.714) [-2130.273] (-2144.050) (-2124.600) * (-2134.484) (-2114.394) (-2222.502) [-2101.071] -- 0:16:28
Average standard deviation of split frequencies: 0.027488
106000 -- (-2225.753) (-2128.910) (-2160.868) [-2118.192] * (-2143.357) [-2118.148] (-2217.704) (-2138.875) -- 0:16:26
107000 -- (-2229.011) (-2136.893) (-2130.647) [-2119.803] * (-2151.337) [-2116.996] (-2223.892) (-2119.656) -- 0:16:24
108000 -- (-2212.223) (-2134.516) (-2141.071) [-2116.471] * [-2134.908] (-2123.146) (-2239.723) (-2135.725) -- 0:16:22
109000 -- (-2218.559) (-2122.129) (-2137.610) [-2120.753] * [-2112.833] (-2133.316) (-2221.159) (-2114.679) -- 0:16:29
110000 -- (-2224.873) (-2123.483) (-2155.888) [-2119.200] * [-2105.164] (-2127.721) (-2224.919) (-2117.563) -- 0:16:27
Average standard deviation of split frequencies: 0.028553
111000 -- (-2205.761) [-2113.895] (-2159.487) (-2126.412) * (-2122.718) (-2128.967) (-2236.397) [-2120.380] -- 0:16:25
112000 -- (-2221.279) [-2107.687] (-2148.030) (-2123.091) * (-2118.831) [-2125.163] (-2227.082) (-2136.583) -- 0:16:23
113000 -- (-2219.964) [-2108.475] (-2130.280) (-2131.057) * (-2133.307) [-2117.335] (-2219.094) (-2139.401) -- 0:16:21
114000 -- (-2206.749) [-2122.992] (-2144.557) (-2136.235) * (-2126.578) [-2112.792] (-2215.136) (-2151.528) -- 0:16:19
115000 -- (-2216.533) [-2113.674] (-2131.507) (-2126.270) * [-2117.114] (-2111.219) (-2222.473) (-2133.634) -- 0:16:17
Average standard deviation of split frequencies: 0.028157
116000 -- (-2204.817) [-2110.019] (-2131.447) (-2152.371) * (-2143.431) [-2098.831] (-2202.346) (-2135.130) -- 0:16:15
117000 -- (-2190.832) [-2108.449] (-2119.710) (-2138.406) * (-2138.391) [-2104.430] (-2208.643) (-2158.788) -- 0:16:13
118000 -- (-2207.319) (-2110.646) [-2124.611] (-2144.395) * (-2121.155) [-2113.830] (-2210.164) (-2143.320) -- 0:16:19
119000 -- (-2199.976) (-2125.335) [-2120.998] (-2180.483) * (-2110.203) [-2119.591] (-2205.004) (-2177.573) -- 0:16:17
120000 -- (-2197.849) [-2133.433] (-2141.333) (-2166.559) * (-2110.199) [-2132.098] (-2209.782) (-2156.548) -- 0:16:15
Average standard deviation of split frequencies: 0.027467
121000 -- (-2197.628) (-2128.473) (-2155.383) [-2140.047] * [-2118.930] (-2128.427) (-2211.625) (-2128.616) -- 0:16:13
122000 -- (-2202.060) (-2129.258) (-2156.074) [-2135.239] * [-2106.939] (-2121.684) (-2217.412) (-2151.958) -- 0:16:11
123000 -- (-2213.463) [-2112.419] (-2142.193) (-2143.599) * [-2106.348] (-2116.908) (-2210.887) (-2160.545) -- 0:16:09
124000 -- (-2214.339) (-2133.563) (-2117.877) [-2125.339] * [-2109.960] (-2126.745) (-2215.991) (-2169.456) -- 0:16:07
125000 -- (-2212.384) (-2135.519) (-2119.937) [-2127.817] * (-2122.717) [-2137.152] (-2206.887) (-2171.069) -- 0:16:06
Average standard deviation of split frequencies: 0.027050
126000 -- (-2210.439) (-2140.157) (-2125.232) [-2111.534] * (-2125.368) [-2126.052] (-2220.016) (-2140.215) -- 0:16:04
127000 -- (-2208.171) (-2149.533) (-2123.516) [-2112.957] * [-2124.993] (-2132.158) (-2217.105) (-2152.740) -- 0:16:02
128000 -- (-2213.165) (-2133.755) (-2126.413) [-2105.681] * (-2121.564) (-2126.146) (-2223.571) [-2112.474] -- 0:16:00
129000 -- (-2213.463) (-2135.804) (-2147.365) [-2103.457] * (-2133.371) (-2130.754) (-2218.584) [-2113.341] -- 0:15:58
130000 -- (-2200.888) (-2131.879) [-2111.339] (-2124.130) * (-2144.585) (-2128.245) (-2220.884) [-2104.301] -- 0:15:57
Average standard deviation of split frequencies: 0.026598
131000 -- (-2202.656) (-2116.106) [-2114.613] (-2119.459) * (-2136.035) (-2129.736) (-2235.805) [-2113.424] -- 0:16:01
132000 -- (-2220.287) (-2133.395) [-2105.555] (-2129.996) * (-2133.864) [-2123.439] (-2212.975) (-2124.168) -- 0:16:00
133000 -- (-2226.620) (-2111.247) [-2114.078] (-2131.163) * (-2144.223) [-2107.885] (-2225.630) (-2137.227) -- 0:15:58
134000 -- (-2212.404) (-2125.063) (-2132.764) [-2126.158] * (-2124.951) [-2120.685] (-2235.663) (-2135.735) -- 0:15:56
135000 -- (-2203.393) [-2126.243] (-2143.021) (-2109.976) * [-2112.912] (-2112.150) (-2210.000) (-2140.970) -- 0:15:54
Average standard deviation of split frequencies: 0.025533
136000 -- (-2203.694) (-2145.310) (-2129.083) [-2116.063] * [-2112.939] (-2120.138) (-2214.104) (-2141.742) -- 0:15:52
137000 -- (-2215.158) [-2117.919] (-2145.377) (-2112.433) * [-2115.601] (-2125.006) (-2210.980) (-2120.447) -- 0:15:51
138000 -- (-2203.729) [-2109.382] (-2149.793) (-2133.280) * [-2111.251] (-2129.493) (-2218.264) (-2111.887) -- 0:15:49
139000 -- (-2208.325) [-2106.563] (-2165.958) (-2130.244) * [-2114.938] (-2133.799) (-2219.635) (-2113.653) -- 0:15:47
140000 -- (-2221.667) [-2118.533] (-2164.566) (-2132.605) * (-2136.099) [-2114.096] (-2224.403) (-2136.737) -- 0:15:46
Average standard deviation of split frequencies: 0.024840
141000 -- (-2221.723) [-2112.777] (-2151.449) (-2131.044) * (-2146.189) [-2118.162] (-2216.947) (-2119.274) -- 0:15:44
142000 -- (-2216.205) [-2110.552] (-2154.036) (-2111.696) * [-2119.835] (-2132.324) (-2213.912) (-2143.820) -- 0:15:42
143000 -- (-2236.296) (-2131.039) (-2156.091) [-2108.741] * (-2107.103) [-2115.141] (-2219.428) (-2145.001) -- 0:15:46
144000 -- (-2203.074) [-2113.974] (-2147.258) (-2125.406) * (-2141.302) [-2108.718] (-2207.980) (-2136.509) -- 0:15:45
145000 -- (-2222.701) [-2115.275] (-2154.535) (-2135.606) * [-2119.914] (-2121.592) (-2228.706) (-2151.574) -- 0:15:43
Average standard deviation of split frequencies: 0.024797
146000 -- (-2223.175) [-2118.119] (-2156.032) (-2120.215) * [-2117.451] (-2113.010) (-2208.729) (-2142.713) -- 0:15:41
147000 -- (-2204.518) (-2127.041) (-2139.289) [-2108.741] * (-2134.156) [-2115.375] (-2216.521) (-2148.168) -- 0:15:40
148000 -- (-2207.953) [-2135.022] (-2156.056) (-2118.865) * (-2114.659) [-2107.930] (-2211.359) (-2144.610) -- 0:15:38
149000 -- (-2213.645) (-2139.887) (-2163.481) [-2120.118] * (-2142.217) [-2108.824] (-2213.822) (-2136.444) -- 0:15:36
150000 -- (-2224.035) (-2129.357) (-2134.630) [-2125.484] * (-2129.630) [-2110.375] (-2205.894) (-2116.966) -- 0:15:40
Average standard deviation of split frequencies: 0.024398
151000 -- (-2220.937) (-2121.217) (-2140.873) [-2126.756] * (-2131.222) [-2107.218] (-2198.474) (-2129.352) -- 0:15:38
152000 -- (-2217.402) [-2111.916] (-2133.265) (-2125.300) * [-2110.766] (-2125.644) (-2194.192) (-2141.036) -- 0:15:37
153000 -- (-2228.695) [-2118.184] (-2129.719) (-2142.056) * (-2113.038) [-2113.449] (-2187.837) (-2146.251) -- 0:15:35
154000 -- (-2219.497) [-2118.630] (-2117.079) (-2155.173) * (-2105.547) [-2107.734] (-2194.297) (-2145.013) -- 0:15:33
155000 -- (-2218.565) (-2130.318) (-2151.869) [-2149.683] * [-2111.762] (-2127.780) (-2198.466) (-2144.644) -- 0:15:32
Average standard deviation of split frequencies: 0.023990
156000 -- (-2226.284) (-2119.570) [-2140.055] (-2131.201) * (-2121.959) [-2114.269] (-2213.931) (-2137.071) -- 0:15:30
157000 -- (-2220.438) (-2120.105) [-2125.905] (-2136.345) * (-2110.853) [-2117.128] (-2221.228) (-2122.494) -- 0:15:28
158000 -- (-2214.928) [-2116.089] (-2132.463) (-2134.660) * [-2109.593] (-2113.106) (-2223.844) (-2118.884) -- 0:15:27
159000 -- (-2216.673) [-2106.022] (-2127.137) (-2126.563) * [-2101.892] (-2143.491) (-2211.104) (-2106.055) -- 0:15:30
160000 -- (-2216.625) (-2115.511) (-2172.081) [-2117.623] * [-2106.870] (-2131.897) (-2209.810) (-2119.590) -- 0:15:29
Average standard deviation of split frequencies: 0.023411
161000 -- (-2227.002) (-2116.730) (-2173.537) [-2117.485] * [-2102.519] (-2140.996) (-2214.132) (-2135.633) -- 0:15:27
162000 -- (-2233.116) [-2102.817] (-2155.337) (-2123.471) * [-2098.414] (-2130.647) (-2223.447) (-2130.702) -- 0:15:25
163000 -- (-2257.395) (-2124.835) (-2153.319) [-2111.485] * [-2123.471] (-2161.391) (-2227.856) (-2134.135) -- 0:15:24
164000 -- (-2223.069) (-2131.120) (-2161.063) [-2122.130] * [-2121.068] (-2154.470) (-2210.767) (-2136.994) -- 0:15:22
165000 -- (-2225.408) (-2121.364) (-2159.556) [-2114.741] * [-2120.111] (-2121.558) (-2219.303) (-2148.045) -- 0:15:21
Average standard deviation of split frequencies: 0.022486
166000 -- (-2219.428) [-2115.367] (-2138.218) (-2111.649) * [-2124.253] (-2132.955) (-2209.207) (-2147.829) -- 0:15:19
167000 -- (-2210.257) [-2101.538] (-2148.303) (-2115.571) * (-2136.312) [-2112.797] (-2220.427) (-2138.020) -- 0:15:22
168000 -- (-2214.939) [-2112.394] (-2136.921) (-2116.446) * (-2138.018) [-2119.692] (-2226.590) (-2139.894) -- 0:15:21
169000 -- (-2209.817) [-2114.429] (-2120.573) (-2124.913) * (-2133.537) [-2118.011] (-2234.739) (-2140.038) -- 0:15:19
170000 -- (-2201.973) (-2107.116) (-2119.906) [-2115.868] * [-2100.362] (-2138.018) (-2215.362) (-2129.582) -- 0:15:17
Average standard deviation of split frequencies: 0.023619
171000 -- (-2209.238) (-2115.094) (-2120.234) [-2114.745] * [-2113.478] (-2146.993) (-2217.438) (-2131.448) -- 0:15:16
172000 -- (-2221.045) (-2112.621) (-2131.859) [-2112.761] * [-2118.410] (-2139.125) (-2208.663) (-2117.623) -- 0:15:14
173000 -- (-2213.665) (-2121.464) (-2137.523) [-2104.574] * (-2149.948) [-2118.414] (-2218.955) (-2108.654) -- 0:15:13
174000 -- (-2204.859) (-2121.934) (-2124.913) [-2108.677] * (-2136.648) (-2107.144) (-2200.864) [-2117.132] -- 0:15:11
175000 -- (-2203.921) (-2128.668) (-2122.237) [-2108.487] * (-2132.839) (-2120.673) (-2206.916) [-2119.778] -- 0:15:09
Average standard deviation of split frequencies: 0.023429
176000 -- (-2203.660) (-2146.959) (-2117.353) [-2115.549] * [-2116.051] (-2125.899) (-2207.991) (-2110.690) -- 0:15:12
177000 -- (-2210.110) (-2138.752) [-2126.785] (-2114.069) * (-2116.529) (-2131.999) (-2225.362) [-2116.189] -- 0:15:11
178000 -- (-2207.354) [-2122.882] (-2114.379) (-2116.025) * [-2118.451] (-2125.321) (-2209.510) (-2131.403) -- 0:15:09
179000 -- (-2204.172) [-2122.012] (-2129.933) (-2133.087) * (-2120.934) [-2118.600] (-2209.898) (-2145.513) -- 0:15:08
180000 -- (-2219.253) [-2117.630] (-2136.628) (-2130.290) * (-2124.800) [-2124.006] (-2208.014) (-2123.508) -- 0:15:06
Average standard deviation of split frequencies: 0.023099
181000 -- (-2212.675) [-2115.989] (-2137.509) (-2114.195) * (-2135.415) [-2113.014] (-2221.332) (-2125.544) -- 0:15:04
182000 -- (-2217.158) [-2116.027] (-2127.265) (-2139.524) * (-2146.267) [-2123.006] (-2227.829) (-2132.837) -- 0:15:03
183000 -- (-2201.099) [-2117.252] (-2140.932) (-2153.522) * (-2152.341) [-2114.829] (-2212.727) (-2132.081) -- 0:15:01
184000 -- (-2215.519) [-2105.618] (-2119.767) (-2157.817) * [-2116.666] (-2120.249) (-2211.853) (-2138.396) -- 0:15:00
185000 -- (-2211.696) [-2119.226] (-2123.148) (-2149.962) * [-2108.421] (-2123.024) (-2198.605) (-2154.695) -- 0:14:58
Average standard deviation of split frequencies: 0.022026
186000 -- (-2205.541) [-2126.736] (-2130.513) (-2131.531) * [-2115.755] (-2138.112) (-2214.243) (-2162.659) -- 0:15:01
187000 -- (-2224.119) (-2117.661) [-2114.277] (-2142.610) * [-2110.702] (-2126.693) (-2206.837) (-2152.802) -- 0:14:59
188000 -- (-2216.628) (-2149.737) [-2133.657] (-2134.261) * (-2123.559) [-2099.535] (-2214.014) (-2158.421) -- 0:14:58
189000 -- (-2210.481) (-2139.350) (-2137.351) [-2109.561] * (-2123.658) [-2103.085] (-2200.780) (-2153.094) -- 0:14:56
190000 -- (-2219.151) (-2166.400) [-2124.492] (-2128.010) * (-2129.134) [-2113.471] (-2210.961) (-2153.810) -- 0:14:55
Average standard deviation of split frequencies: 0.021568
191000 -- (-2221.926) (-2146.557) [-2120.830] (-2122.830) * (-2125.594) [-2115.564] (-2213.696) (-2133.313) -- 0:14:53
192000 -- (-2216.636) (-2174.986) [-2129.971] (-2143.410) * [-2115.312] (-2106.328) (-2215.654) (-2154.073) -- 0:14:52
193000 -- (-2226.628) (-2166.968) [-2123.662] (-2127.725) * (-2128.630) [-2111.894] (-2231.659) (-2173.021) -- 0:14:50
194000 -- (-2206.627) (-2166.315) [-2115.882] (-2142.665) * (-2126.841) [-2112.937] (-2218.873) (-2148.421) -- 0:14:49
195000 -- (-2210.410) (-2163.553) [-2113.765] (-2127.036) * (-2121.133) [-2114.702] (-2231.790) (-2161.404) -- 0:14:47
Average standard deviation of split frequencies: 0.021190
196000 -- (-2216.334) (-2142.681) [-2108.724] (-2131.562) * (-2132.331) [-2110.713] (-2230.030) (-2151.059) -- 0:14:46
197000 -- (-2211.605) (-2127.541) [-2121.532] (-2139.516) * [-2123.738] (-2126.089) (-2218.742) (-2161.458) -- 0:14:44
198000 -- (-2203.475) (-2152.882) [-2109.437] (-2127.365) * [-2128.290] (-2134.512) (-2218.097) (-2125.629) -- 0:14:43
199000 -- (-2189.776) (-2134.684) [-2089.099] (-2134.702) * [-2126.206] (-2145.269) (-2214.193) (-2140.600) -- 0:14:45
200000 -- (-2211.849) (-2134.411) [-2097.292] (-2144.071) * (-2132.771) (-2139.748) (-2221.406) [-2137.160] -- 0:14:44
Average standard deviation of split frequencies: 0.020991
201000 -- (-2198.514) (-2127.204) [-2104.843] (-2130.269) * (-2125.639) [-2131.423] (-2244.251) (-2136.445) -- 0:14:42
202000 -- (-2214.003) (-2110.401) [-2123.235] (-2179.982) * [-2114.694] (-2127.071) (-2230.489) (-2137.606) -- 0:14:40
203000 -- (-2219.259) (-2114.454) [-2112.874] (-2148.690) * (-2117.972) (-2132.602) (-2225.986) [-2116.045] -- 0:14:39
204000 -- (-2199.981) (-2121.089) [-2107.368] (-2124.868) * (-2113.590) (-2139.290) (-2238.167) [-2125.713] -- 0:14:37
205000 -- (-2202.713) (-2147.830) [-2108.567] (-2110.384) * [-2119.600] (-2118.554) (-2215.864) (-2142.758) -- 0:14:36
Average standard deviation of split frequencies: 0.020262
206000 -- (-2220.932) (-2132.100) (-2101.938) [-2114.781] * (-2128.663) [-2127.285] (-2220.030) (-2154.881) -- 0:14:34
207000 -- (-2235.192) (-2125.000) [-2104.431] (-2132.647) * [-2116.336] (-2131.243) (-2223.983) (-2138.085) -- 0:14:33
208000 -- (-2214.399) (-2144.139) [-2104.040] (-2138.391) * (-2131.384) [-2123.228] (-2192.459) (-2169.222) -- 0:14:31
209000 -- (-2221.509) (-2140.483) [-2111.767] (-2121.829) * (-2129.715) [-2107.873] (-2209.259) (-2143.235) -- 0:14:30
210000 -- (-2197.954) (-2141.102) [-2103.958] (-2125.255) * (-2142.945) [-2114.477] (-2218.314) (-2156.220) -- 0:14:32
Average standard deviation of split frequencies: 0.018975
211000 -- (-2196.825) (-2163.792) [-2104.898] (-2130.034) * (-2147.189) [-2120.951] (-2219.346) (-2123.845) -- 0:14:31
212000 -- (-2199.890) (-2151.834) [-2105.778] (-2130.916) * (-2173.747) [-2121.556] (-2205.256) (-2123.570) -- 0:14:29
213000 -- (-2198.649) (-2130.641) [-2117.707] (-2128.256) * (-2170.588) (-2132.235) (-2195.593) [-2122.576] -- 0:14:28
214000 -- (-2213.246) (-2141.184) (-2133.462) [-2118.174] * (-2148.476) (-2133.968) (-2207.733) [-2122.114] -- 0:14:26
215000 -- (-2214.091) (-2159.659) (-2111.190) [-2110.660] * (-2147.506) (-2127.710) (-2206.780) [-2116.181] -- 0:14:25
Average standard deviation of split frequencies: 0.017504
216000 -- (-2220.046) (-2147.360) (-2105.377) [-2110.092] * (-2141.814) (-2133.587) (-2225.957) [-2110.591] -- 0:14:23
217000 -- (-2210.983) (-2140.040) [-2113.119] (-2134.666) * (-2119.617) (-2120.883) (-2200.706) [-2132.882] -- 0:14:22
218000 -- (-2211.980) (-2159.761) (-2128.940) [-2133.130] * (-2129.762) [-2110.179] (-2203.166) (-2144.672) -- 0:14:20
219000 -- (-2218.981) (-2170.168) [-2126.536] (-2120.876) * (-2145.252) [-2104.017] (-2227.090) (-2115.211) -- 0:14:19
220000 -- (-2221.428) (-2130.710) [-2118.711] (-2135.442) * (-2160.296) [-2129.006] (-2220.204) (-2115.144) -- 0:14:21
Average standard deviation of split frequencies: 0.017886
221000 -- (-2220.609) (-2155.895) [-2117.967] (-2122.075) * (-2149.962) [-2127.522] (-2217.522) (-2127.457) -- 0:14:20
222000 -- (-2206.203) (-2153.334) (-2134.157) [-2135.394] * [-2124.741] (-2132.694) (-2203.419) (-2137.981) -- 0:14:18
223000 -- (-2214.953) (-2155.293) (-2121.761) [-2122.216] * (-2121.631) [-2119.109] (-2217.806) (-2123.818) -- 0:14:17
224000 -- (-2238.633) (-2161.838) (-2143.205) [-2121.346] * (-2140.510) [-2113.566] (-2213.922) (-2121.708) -- 0:14:15
225000 -- (-2230.784) (-2137.261) (-2130.391) [-2130.661] * (-2143.922) [-2108.845] (-2223.923) (-2120.874) -- 0:14:14
Average standard deviation of split frequencies: 0.016600
226000 -- (-2245.099) (-2155.739) (-2137.403) [-2127.588] * (-2142.093) [-2108.548] (-2213.097) (-2137.852) -- 0:14:12
227000 -- (-2239.633) (-2128.294) [-2117.296] (-2129.975) * (-2151.656) [-2119.022] (-2196.614) (-2136.400) -- 0:14:14
228000 -- (-2232.618) (-2130.137) (-2120.746) [-2133.442] * (-2135.895) [-2118.356] (-2201.513) (-2122.158) -- 0:14:13
229000 -- (-2215.096) (-2126.917) (-2122.402) [-2119.779] * (-2126.290) [-2112.177] (-2203.168) (-2139.494) -- 0:14:11
230000 -- (-2198.805) (-2135.899) (-2126.251) [-2108.397] * (-2124.373) [-2120.310] (-2211.649) (-2143.293) -- 0:14:10
Average standard deviation of split frequencies: 0.016435
231000 -- (-2208.295) (-2138.684) [-2111.074] (-2126.430) * (-2129.026) [-2115.557] (-2218.355) (-2125.909) -- 0:14:08
232000 -- (-2218.490) (-2137.892) [-2129.394] (-2134.000) * (-2126.131) [-2111.224] (-2228.913) (-2141.260) -- 0:14:07
233000 -- (-2223.696) (-2154.501) (-2116.499) [-2128.720] * [-2124.463] (-2118.366) (-2220.444) (-2133.371) -- 0:14:06
234000 -- (-2221.231) (-2160.086) (-2117.817) [-2130.488] * [-2109.707] (-2116.304) (-2222.122) (-2132.908) -- 0:14:04
235000 -- (-2243.500) (-2131.577) (-2131.158) [-2131.793] * [-2111.731] (-2127.209) (-2227.180) (-2125.405) -- 0:14:03
Average standard deviation of split frequencies: 0.016169
236000 -- (-2221.555) [-2123.281] (-2130.128) (-2130.143) * [-2119.850] (-2148.885) (-2217.643) (-2115.968) -- 0:14:04
237000 -- (-2220.193) [-2127.600] (-2122.874) (-2132.305) * [-2128.490] (-2147.905) (-2222.383) (-2130.479) -- 0:14:03
238000 -- (-2228.985) [-2119.563] (-2118.293) (-2152.590) * (-2125.475) (-2149.672) (-2210.772) [-2112.297] -- 0:14:02
239000 -- (-2233.389) (-2120.611) [-2111.083] (-2132.263) * (-2130.122) (-2138.413) (-2215.039) [-2115.384] -- 0:14:00
240000 -- (-2227.500) [-2116.079] (-2111.203) (-2132.941) * (-2123.667) (-2126.903) (-2214.302) [-2117.460] -- 0:13:59
Average standard deviation of split frequencies: 0.015941
241000 -- (-2212.580) [-2108.944] (-2126.907) (-2125.330) * (-2147.069) (-2132.673) (-2194.382) [-2104.651] -- 0:13:57
242000 -- (-2222.454) (-2103.345) [-2115.264] (-2120.828) * (-2115.990) (-2126.855) (-2220.885) [-2117.060] -- 0:13:56
243000 -- (-2209.032) [-2104.506] (-2112.244) (-2140.617) * [-2106.334] (-2109.197) (-2220.325) (-2112.393) -- 0:13:54
244000 -- (-2205.102) (-2104.254) [-2109.456] (-2142.413) * [-2106.616] (-2132.359) (-2204.111) (-2139.774) -- 0:13:53
245000 -- (-2207.507) (-2109.079) [-2108.125] (-2127.113) * [-2106.597] (-2123.850) (-2207.408) (-2132.924) -- 0:13:52
Average standard deviation of split frequencies: 0.015814
246000 -- (-2201.843) (-2128.523) (-2132.706) [-2112.498] * [-2103.803] (-2114.110) (-2202.759) (-2134.253) -- 0:13:53
247000 -- (-2199.980) (-2115.819) (-2123.025) [-2125.647] * [-2113.167] (-2143.808) (-2197.608) (-2107.403) -- 0:13:52
248000 -- (-2223.136) (-2122.240) [-2125.300] (-2120.571) * (-2128.726) (-2129.867) (-2192.897) [-2118.243] -- 0:13:50
249000 -- (-2217.434) [-2127.155] (-2120.790) (-2125.601) * (-2128.281) [-2121.268] (-2212.486) (-2139.562) -- 0:13:49
250000 -- (-2221.677) [-2109.910] (-2155.623) (-2133.576) * (-2123.453) (-2135.688) (-2227.494) [-2113.653] -- 0:13:48
Average standard deviation of split frequencies: 0.015777
251000 -- (-2225.301) [-2108.321] (-2149.749) (-2122.516) * (-2124.356) (-2138.854) (-2238.848) [-2113.936] -- 0:13:46
252000 -- (-2224.403) [-2119.920] (-2150.442) (-2117.138) * (-2167.733) [-2117.520] (-2237.499) (-2124.552) -- 0:13:45
253000 -- (-2230.917) [-2110.223] (-2139.175) (-2131.435) * (-2134.781) [-2123.823] (-2234.753) (-2149.919) -- 0:13:43
254000 -- (-2218.236) [-2113.548] (-2137.754) (-2127.766) * (-2143.844) [-2116.888] (-2226.849) (-2143.711) -- 0:13:42
255000 -- (-2206.069) [-2117.099] (-2125.925) (-2141.376) * (-2149.739) [-2120.518] (-2221.341) (-2136.602) -- 0:13:40
Average standard deviation of split frequencies: 0.015691
256000 -- (-2199.857) (-2117.155) [-2135.843] (-2149.218) * (-2140.746) [-2114.603] (-2225.551) (-2148.792) -- 0:13:39
257000 -- (-2210.762) [-2113.081] (-2134.152) (-2137.105) * (-2124.372) [-2116.702] (-2211.468) (-2144.383) -- 0:13:41
258000 -- (-2204.464) (-2116.721) [-2124.275] (-2135.642) * (-2124.720) [-2115.004] (-2206.859) (-2146.512) -- 0:13:39
259000 -- (-2215.219) (-2112.861) [-2130.001] (-2141.283) * (-2123.675) [-2111.480] (-2217.244) (-2143.556) -- 0:13:38
260000 -- (-2223.504) [-2121.128] (-2129.754) (-2128.686) * (-2121.016) [-2110.527] (-2235.766) (-2125.913) -- 0:13:36
Average standard deviation of split frequencies: 0.015693
261000 -- (-2233.618) (-2116.941) (-2124.894) [-2106.785] * (-2119.213) [-2107.237] (-2236.445) (-2133.144) -- 0:13:35
262000 -- (-2236.947) (-2141.915) (-2111.149) [-2110.288] * (-2124.516) [-2113.965] (-2224.975) (-2136.027) -- 0:13:34
263000 -- (-2212.042) (-2141.610) [-2110.915] (-2131.307) * (-2114.601) [-2105.078] (-2238.260) (-2131.735) -- 0:13:32
264000 -- (-2231.230) (-2123.433) [-2110.550] (-2137.988) * (-2115.953) [-2115.946] (-2235.886) (-2161.900) -- 0:13:31
265000 -- (-2211.948) (-2117.829) [-2120.978] (-2138.193) * (-2118.706) [-2105.426] (-2221.547) (-2141.569) -- 0:13:29
Average standard deviation of split frequencies: 0.015316
266000 -- (-2222.281) (-2132.233) [-2115.934] (-2145.381) * (-2134.833) (-2123.453) (-2209.728) [-2130.995] -- 0:13:28
267000 -- (-2221.523) (-2131.902) [-2109.598] (-2142.257) * (-2138.425) [-2110.783] (-2216.772) (-2139.501) -- 0:13:27
268000 -- (-2230.906) (-2131.368) [-2111.882] (-2135.502) * (-2158.277) [-2114.010] (-2220.147) (-2144.010) -- 0:13:25
269000 -- (-2219.651) (-2136.852) [-2111.796] (-2158.308) * (-2170.669) [-2110.459] (-2205.428) (-2139.583) -- 0:13:24
270000 -- (-2216.593) (-2117.981) [-2113.144] (-2161.138) * (-2131.451) [-2129.945] (-2218.310) (-2141.535) -- 0:13:23
Average standard deviation of split frequencies: 0.014593
271000 -- (-2216.073) (-2125.325) [-2110.692] (-2148.660) * (-2133.754) (-2131.147) (-2242.946) [-2107.549] -- 0:13:24
272000 -- (-2219.960) (-2119.431) [-2103.197] (-2138.227) * (-2139.251) [-2127.881] (-2219.143) (-2114.298) -- 0:13:22
273000 -- (-2228.848) (-2136.965) [-2102.263] (-2110.804) * (-2155.242) (-2142.258) (-2215.010) [-2099.367] -- 0:13:21
274000 -- (-2238.765) (-2121.182) [-2104.992] (-2124.136) * [-2136.101] (-2146.692) (-2202.169) (-2112.409) -- 0:13:20
275000 -- (-2234.191) (-2117.394) [-2096.616] (-2131.993) * (-2123.799) (-2152.400) (-2208.037) [-2102.693] -- 0:13:18
Average standard deviation of split frequencies: 0.014100
276000 -- (-2210.886) (-2122.017) [-2111.690] (-2136.888) * (-2121.869) (-2161.080) (-2209.316) [-2104.349] -- 0:13:17
277000 -- (-2224.166) [-2116.373] (-2114.056) (-2138.102) * [-2122.934] (-2155.620) (-2201.499) (-2116.079) -- 0:13:16
278000 -- (-2226.897) [-2112.701] (-2117.551) (-2131.053) * [-2122.969] (-2130.482) (-2200.363) (-2118.311) -- 0:13:14
279000 -- (-2210.673) [-2108.571] (-2120.960) (-2138.521) * (-2122.781) [-2129.469] (-2214.259) (-2140.399) -- 0:13:13
280000 -- (-2212.945) [-2134.819] (-2127.195) (-2132.467) * (-2124.598) [-2122.598] (-2214.872) (-2121.390) -- 0:13:12
Average standard deviation of split frequencies: 0.014259
281000 -- (-2208.896) (-2128.003) [-2106.379] (-2122.774) * (-2143.428) [-2114.471] (-2217.506) (-2110.880) -- 0:13:13
282000 -- (-2200.506) (-2132.753) [-2109.086] (-2135.309) * (-2126.670) (-2133.011) (-2205.918) [-2110.916] -- 0:13:11
283000 -- (-2198.575) [-2138.140] (-2127.947) (-2138.611) * (-2128.629) [-2133.278] (-2194.472) (-2126.965) -- 0:13:10
284000 -- (-2220.374) (-2134.254) [-2110.306] (-2164.700) * (-2113.036) [-2122.401] (-2224.655) (-2155.195) -- 0:13:09
285000 -- (-2215.170) (-2129.058) [-2117.822] (-2143.607) * [-2114.259] (-2137.546) (-2191.959) (-2156.996) -- 0:13:07
Average standard deviation of split frequencies: 0.014256
286000 -- (-2210.551) [-2112.868] (-2115.647) (-2141.066) * [-2109.650] (-2131.028) (-2197.341) (-2126.296) -- 0:13:06
287000 -- (-2210.433) (-2111.812) (-2134.318) [-2122.878] * (-2115.698) [-2109.911] (-2214.107) (-2141.980) -- 0:13:05
288000 -- (-2221.236) (-2138.494) [-2121.872] (-2140.633) * (-2139.380) [-2110.597] (-2214.467) (-2145.191) -- 0:13:03
289000 -- (-2201.971) (-2130.450) [-2116.114] (-2128.436) * (-2128.866) [-2110.213] (-2211.453) (-2133.913) -- 0:13:04
290000 -- (-2237.990) (-2156.107) (-2114.302) [-2111.473] * (-2147.765) [-2112.548] (-2183.560) (-2127.823) -- 0:13:03
Average standard deviation of split frequencies: 0.014544
291000 -- (-2203.264) (-2142.089) (-2104.952) [-2118.477] * (-2141.974) (-2122.306) (-2200.758) [-2128.743] -- 0:13:02
292000 -- (-2206.862) (-2127.421) [-2114.037] (-2139.990) * (-2124.695) [-2112.906] (-2193.826) (-2126.184) -- 0:13:00
293000 -- (-2223.032) (-2152.290) [-2127.142] (-2133.970) * (-2126.754) [-2110.754] (-2191.744) (-2123.103) -- 0:12:59
294000 -- (-2213.478) (-2133.481) (-2128.223) [-2115.156] * (-2146.145) (-2123.997) (-2212.336) [-2106.622] -- 0:12:58
295000 -- (-2202.430) (-2139.733) [-2114.482] (-2122.972) * (-2122.796) (-2133.338) (-2195.282) [-2115.045] -- 0:12:56
Average standard deviation of split frequencies: 0.014436
296000 -- (-2227.463) (-2151.590) [-2114.322] (-2128.989) * [-2107.950] (-2131.490) (-2205.717) (-2111.150) -- 0:12:55
297000 -- (-2213.682) (-2131.901) [-2107.959] (-2128.234) * [-2112.216] (-2133.693) (-2210.099) (-2124.655) -- 0:12:56
298000 -- (-2206.759) (-2129.760) [-2107.950] (-2140.741) * (-2122.176) (-2133.855) (-2205.376) [-2107.790] -- 0:12:55
299000 -- (-2190.430) (-2142.775) [-2106.388] (-2138.625) * [-2118.473] (-2141.817) (-2211.143) (-2106.763) -- 0:12:53
300000 -- (-2216.774) (-2115.513) [-2114.853] (-2145.901) * [-2118.422] (-2135.581) (-2195.613) (-2120.234) -- 0:12:52
Average standard deviation of split frequencies: 0.014145
301000 -- (-2213.535) [-2116.801] (-2136.226) (-2137.420) * (-2127.552) [-2110.418] (-2215.385) (-2137.273) -- 0:12:50
302000 -- (-2205.013) (-2120.436) (-2135.431) [-2127.295] * (-2130.597) [-2114.314] (-2221.898) (-2148.824) -- 0:12:49
303000 -- (-2206.902) [-2115.640] (-2144.970) (-2140.302) * (-2116.614) [-2127.576] (-2227.546) (-2150.910) -- 0:12:48
304000 -- (-2186.566) [-2114.470] (-2138.313) (-2132.177) * (-2114.032) [-2103.621] (-2220.584) (-2142.936) -- 0:12:46
305000 -- (-2198.570) (-2126.786) [-2119.732] (-2148.920) * (-2116.627) [-2117.533] (-2228.086) (-2125.978) -- 0:12:47
Average standard deviation of split frequencies: 0.013764
306000 -- (-2203.081) [-2128.643] (-2129.394) (-2139.794) * (-2128.550) (-2114.664) (-2225.925) [-2121.634] -- 0:12:46
307000 -- (-2210.428) [-2136.496] (-2133.076) (-2127.729) * (-2126.854) [-2116.404] (-2216.037) (-2119.847) -- 0:12:45
308000 -- (-2209.898) [-2127.650] (-2116.734) (-2149.286) * (-2128.776) (-2120.481) (-2242.058) [-2110.085] -- 0:12:43
309000 -- (-2214.128) (-2143.127) [-2104.040] (-2127.716) * (-2149.382) [-2126.580] (-2239.172) (-2117.333) -- 0:12:42
310000 -- (-2213.610) (-2167.612) [-2107.829] (-2132.499) * (-2136.615) (-2129.610) (-2226.425) [-2107.451] -- 0:12:41
Average standard deviation of split frequencies: 0.013591
311000 -- (-2204.861) (-2144.032) [-2122.511] (-2126.776) * (-2135.244) (-2136.217) (-2233.252) [-2106.841] -- 0:12:39
312000 -- (-2213.114) (-2155.441) [-2106.662] (-2128.426) * [-2129.443] (-2152.526) (-2232.336) (-2123.831) -- 0:12:38
313000 -- (-2197.830) (-2138.798) [-2110.863] (-2136.512) * (-2152.257) [-2132.631] (-2234.654) (-2106.070) -- 0:12:37
314000 -- (-2193.525) (-2152.994) [-2114.066] (-2129.642) * (-2139.425) [-2122.835] (-2218.107) (-2113.779) -- 0:12:35
315000 -- (-2215.277) (-2159.442) (-2139.543) [-2139.479] * (-2148.212) (-2133.128) (-2220.034) [-2134.774] -- 0:12:36
Average standard deviation of split frequencies: 0.012983
316000 -- (-2212.016) (-2143.140) [-2131.669] (-2132.933) * (-2143.100) (-2131.859) (-2210.972) [-2115.807] -- 0:12:35
317000 -- (-2206.203) [-2143.779] (-2140.974) (-2133.883) * [-2125.886] (-2130.840) (-2206.266) (-2116.632) -- 0:12:34
318000 -- (-2195.044) [-2116.829] (-2152.085) (-2126.620) * (-2114.137) (-2116.325) (-2213.692) [-2112.947] -- 0:12:32
319000 -- (-2224.756) [-2122.345] (-2138.325) (-2116.456) * (-2127.934) (-2142.246) (-2215.530) [-2129.260] -- 0:12:31
320000 -- (-2235.528) (-2123.457) (-2153.656) [-2104.754] * (-2144.234) (-2177.145) (-2205.828) [-2133.424] -- 0:12:30
Average standard deviation of split frequencies: 0.013644
321000 -- (-2208.533) [-2113.817] (-2159.074) (-2115.799) * [-2134.929] (-2176.928) (-2226.551) (-2128.610) -- 0:12:28
322000 -- (-2204.168) [-2132.049] (-2155.334) (-2130.274) * [-2129.921] (-2157.820) (-2201.621) (-2150.460) -- 0:12:27
323000 -- (-2215.211) (-2122.505) (-2185.003) [-2117.193] * [-2109.961] (-2141.006) (-2216.959) (-2133.663) -- 0:12:26
324000 -- (-2214.899) [-2115.888] (-2158.367) (-2119.571) * [-2099.905] (-2128.293) (-2207.020) (-2125.009) -- 0:12:24
325000 -- (-2234.283) [-2124.541] (-2134.220) (-2119.703) * [-2118.988] (-2139.020) (-2202.677) (-2134.588) -- 0:12:23
Average standard deviation of split frequencies: 0.013512
326000 -- (-2227.588) (-2135.106) (-2138.464) [-2113.713] * [-2122.839] (-2139.908) (-2197.132) (-2123.677) -- 0:12:22
327000 -- (-2206.394) (-2134.942) (-2124.920) [-2118.648] * (-2122.350) (-2154.715) (-2191.728) [-2121.554] -- 0:12:20
328000 -- (-2189.687) [-2135.051] (-2136.905) (-2118.711) * [-2128.160] (-2140.610) (-2215.246) (-2113.415) -- 0:12:21
329000 -- (-2191.191) (-2128.961) (-2146.097) [-2113.259] * (-2133.786) (-2159.859) (-2213.146) [-2110.095] -- 0:12:20
330000 -- (-2200.387) (-2129.027) (-2136.489) [-2116.984] * (-2132.274) (-2118.348) (-2219.222) [-2126.107] -- 0:12:19
Average standard deviation of split frequencies: 0.014042
331000 -- (-2213.883) (-2131.290) (-2150.039) [-2116.850] * (-2152.596) [-2112.529] (-2213.342) (-2123.120) -- 0:12:17
332000 -- (-2209.034) (-2129.684) (-2134.518) [-2122.791] * (-2152.546) (-2122.265) (-2203.690) [-2114.677] -- 0:12:16
333000 -- (-2187.410) [-2129.782] (-2137.826) (-2131.937) * (-2155.653) (-2111.395) (-2223.498) [-2106.879] -- 0:12:15
334000 -- (-2212.321) [-2118.508] (-2110.720) (-2149.541) * (-2132.121) (-2109.417) (-2204.928) [-2103.162] -- 0:12:13
335000 -- (-2208.683) (-2128.173) [-2122.773] (-2153.724) * (-2127.083) (-2116.220) (-2213.680) [-2125.873] -- 0:12:12
Average standard deviation of split frequencies: 0.014289
336000 -- (-2227.069) (-2126.254) [-2119.460] (-2159.969) * (-2110.043) (-2130.211) (-2226.573) [-2121.323] -- 0:12:11
337000 -- (-2218.505) [-2114.962] (-2129.319) (-2153.924) * (-2133.051) (-2109.306) (-2236.450) [-2110.988] -- 0:12:09
338000 -- (-2191.259) [-2115.341] (-2134.568) (-2156.799) * (-2140.594) [-2115.320] (-2211.796) (-2145.261) -- 0:12:10
339000 -- (-2225.122) [-2115.462] (-2135.434) (-2145.113) * (-2122.199) [-2111.491] (-2223.923) (-2140.467) -- 0:12:09
340000 -- (-2226.553) [-2109.287] (-2132.236) (-2135.512) * [-2128.346] (-2114.346) (-2220.025) (-2145.409) -- 0:12:07
Average standard deviation of split frequencies: 0.014269
341000 -- (-2215.652) [-2118.989] (-2151.269) (-2128.142) * [-2111.272] (-2142.043) (-2212.785) (-2153.501) -- 0:12:06
342000 -- (-2218.971) [-2122.924] (-2128.787) (-2127.773) * (-2111.070) [-2116.416] (-2205.567) (-2155.767) -- 0:12:05
343000 -- (-2212.047) [-2119.641] (-2122.783) (-2129.573) * [-2109.715] (-2129.031) (-2216.559) (-2148.890) -- 0:12:04
344000 -- (-2199.976) [-2124.101] (-2126.797) (-2131.902) * [-2108.741] (-2123.389) (-2215.614) (-2149.257) -- 0:12:02
345000 -- (-2204.585) [-2125.393] (-2120.058) (-2121.391) * [-2116.634] (-2111.204) (-2203.026) (-2143.472) -- 0:12:01
Average standard deviation of split frequencies: 0.013393
346000 -- (-2205.575) [-2125.180] (-2136.649) (-2113.349) * (-2125.701) [-2106.957] (-2220.289) (-2151.549) -- 0:12:02
347000 -- (-2205.480) [-2112.655] (-2129.415) (-2110.171) * (-2145.350) [-2114.202] (-2219.668) (-2148.022) -- 0:12:00
348000 -- (-2206.271) [-2102.230] (-2131.572) (-2140.593) * (-2153.289) [-2130.811] (-2221.970) (-2161.334) -- 0:11:59
349000 -- (-2195.222) [-2108.799] (-2137.915) (-2134.924) * [-2127.085] (-2126.089) (-2213.446) (-2153.381) -- 0:11:58
350000 -- (-2192.024) [-2112.189] (-2123.797) (-2147.594) * (-2129.595) [-2120.972] (-2204.076) (-2154.780) -- 0:11:56
Average standard deviation of split frequencies: 0.012995
351000 -- (-2197.527) [-2117.092] (-2133.253) (-2141.911) * (-2137.526) [-2109.329] (-2218.196) (-2148.185) -- 0:11:55
352000 -- (-2235.319) [-2114.577] (-2115.666) (-2139.057) * (-2128.754) [-2108.725] (-2225.282) (-2175.374) -- 0:11:54
353000 -- (-2218.632) (-2113.619) [-2117.316] (-2153.359) * (-2117.971) [-2111.445] (-2227.015) (-2142.074) -- 0:11:52
354000 -- (-2206.604) [-2112.719] (-2112.870) (-2135.947) * (-2133.964) [-2113.378] (-2215.548) (-2124.366) -- 0:11:53
355000 -- (-2231.820) [-2122.543] (-2134.750) (-2129.246) * (-2123.355) [-2114.697] (-2224.981) (-2128.468) -- 0:11:52
Average standard deviation of split frequencies: 0.012686
356000 -- (-2228.585) (-2127.459) [-2136.620] (-2146.011) * (-2121.376) [-2107.789] (-2216.089) (-2131.680) -- 0:11:50
357000 -- (-2219.783) (-2132.865) [-2123.346] (-2152.432) * (-2146.433) (-2123.825) (-2217.242) [-2123.035] -- 0:11:49
358000 -- (-2209.087) (-2153.003) (-2113.504) [-2121.564] * (-2134.107) (-2117.411) (-2210.296) [-2128.269] -- 0:11:48
359000 -- (-2206.145) (-2147.934) (-2127.500) [-2111.242] * (-2121.095) (-2122.337) (-2206.438) [-2119.430] -- 0:11:47
360000 -- (-2216.128) (-2137.058) (-2123.855) [-2118.891] * (-2142.157) (-2128.135) (-2196.834) [-2109.613] -- 0:11:45
Average standard deviation of split frequencies: 0.013184
361000 -- (-2209.812) (-2117.747) (-2127.504) [-2111.098] * (-2132.222) (-2116.445) (-2206.218) [-2107.995] -- 0:11:46
362000 -- (-2218.640) (-2119.265) (-2140.462) [-2119.635] * (-2140.430) (-2118.789) (-2230.652) [-2115.217] -- 0:11:44
363000 -- (-2239.025) (-2122.222) (-2143.115) [-2106.148] * (-2161.205) (-2141.514) (-2231.552) [-2120.619] -- 0:11:43
364000 -- (-2227.738) (-2119.768) (-2106.451) [-2111.504] * (-2154.035) [-2121.013] (-2229.389) (-2119.745) -- 0:11:42
365000 -- (-2228.684) (-2143.056) [-2123.730] (-2125.397) * (-2153.266) [-2110.019] (-2208.382) (-2115.555) -- 0:11:41
Average standard deviation of split frequencies: 0.013264
366000 -- (-2209.534) (-2149.507) [-2115.776] (-2123.578) * (-2144.964) (-2127.642) (-2217.284) [-2125.471] -- 0:11:39
367000 -- (-2207.176) (-2163.972) [-2104.159] (-2129.538) * (-2137.585) [-2120.402] (-2214.268) (-2140.054) -- 0:11:38
368000 -- (-2199.942) (-2127.379) [-2105.065] (-2124.067) * (-2132.959) [-2127.295] (-2229.831) (-2158.734) -- 0:11:37
369000 -- (-2215.702) (-2144.982) [-2116.402] (-2123.723) * (-2131.639) [-2110.698] (-2216.741) (-2147.609) -- 0:11:35
370000 -- (-2190.982) (-2154.578) [-2112.447] (-2125.288) * (-2127.822) [-2109.218] (-2211.753) (-2143.068) -- 0:11:36
Average standard deviation of split frequencies: 0.013259
371000 -- (-2207.931) (-2144.646) [-2103.933] (-2143.383) * [-2116.773] (-2123.310) (-2208.904) (-2144.302) -- 0:11:35
372000 -- (-2216.943) (-2144.361) [-2107.024] (-2134.462) * (-2114.696) [-2127.525] (-2204.385) (-2156.677) -- 0:11:33
373000 -- (-2211.433) (-2148.118) [-2126.099] (-2139.591) * [-2110.533] (-2108.451) (-2215.000) (-2142.598) -- 0:11:32
374000 -- (-2199.128) (-2143.687) [-2121.964] (-2147.422) * [-2106.928] (-2115.135) (-2207.861) (-2150.114) -- 0:11:31
375000 -- (-2206.698) (-2130.884) [-2120.392] (-2163.942) * [-2106.165] (-2124.979) (-2202.072) (-2126.507) -- 0:11:30
Average standard deviation of split frequencies: 0.013519
376000 -- (-2203.628) (-2165.017) [-2129.620] (-2156.727) * (-2113.409) [-2119.348] (-2214.440) (-2130.945) -- 0:11:28
377000 -- (-2206.148) (-2146.635) [-2120.894] (-2144.870) * (-2122.212) [-2110.658] (-2195.932) (-2134.929) -- 0:11:27
378000 -- (-2212.689) (-2140.923) [-2117.914] (-2155.767) * [-2120.485] (-2123.222) (-2191.577) (-2134.693) -- 0:11:26
379000 -- (-2218.381) [-2133.463] (-2114.833) (-2154.482) * (-2131.310) [-2113.820] (-2209.018) (-2139.962) -- 0:11:24
380000 -- (-2233.698) (-2143.649) [-2104.251] (-2159.571) * (-2123.652) [-2113.518] (-2228.144) (-2139.887) -- 0:11:23
Average standard deviation of split frequencies: 0.013129
381000 -- (-2213.980) (-2150.323) [-2112.194] (-2137.681) * [-2114.393] (-2122.865) (-2230.190) (-2130.862) -- 0:11:23
382000 -- (-2220.670) (-2156.832) (-2111.668) [-2124.012] * (-2110.822) (-2122.417) (-2223.222) [-2110.716] -- 0:11:22
383000 -- (-2206.874) (-2158.607) [-2117.036] (-2133.384) * (-2135.349) (-2128.215) (-2228.902) [-2112.455] -- 0:11:21
384000 -- (-2220.611) (-2127.281) [-2140.852] (-2151.271) * (-2135.697) (-2131.703) (-2216.473) [-2124.236] -- 0:11:20
385000 -- (-2230.387) [-2133.005] (-2126.272) (-2140.380) * (-2152.503) [-2123.443] (-2238.354) (-2127.603) -- 0:11:18
Average standard deviation of split frequencies: 0.013022
386000 -- (-2251.714) (-2127.924) [-2130.156] (-2165.496) * (-2125.980) [-2120.662] (-2229.290) (-2115.594) -- 0:11:17
387000 -- (-2239.220) (-2113.922) [-2119.697] (-2135.830) * (-2139.073) [-2105.607] (-2221.677) (-2109.624) -- 0:11:16
388000 -- (-2234.247) (-2149.085) [-2121.390] (-2134.732) * (-2141.024) (-2113.679) (-2213.421) [-2111.520] -- 0:11:15
389000 -- (-2227.530) (-2121.952) [-2118.718] (-2137.358) * (-2145.463) (-2127.630) (-2208.847) [-2109.614] -- 0:11:13
390000 -- (-2224.393) [-2120.766] (-2117.042) (-2150.215) * (-2144.545) (-2140.372) (-2227.239) [-2118.645] -- 0:11:12
Average standard deviation of split frequencies: 0.013427
391000 -- (-2226.052) [-2117.023] (-2119.640) (-2145.551) * (-2140.925) (-2136.219) (-2247.998) [-2116.528] -- 0:11:11
392000 -- (-2220.986) (-2119.149) [-2131.472] (-2128.702) * (-2151.529) (-2127.115) (-2232.399) [-2126.090] -- 0:11:10
393000 -- (-2221.484) [-2114.028] (-2136.554) (-2145.504) * (-2164.951) [-2109.916] (-2217.125) (-2115.361) -- 0:11:10
394000 -- (-2217.401) [-2111.985] (-2135.640) (-2133.615) * (-2158.760) (-2114.849) (-2228.999) [-2120.206] -- 0:11:09
395000 -- (-2212.817) (-2129.438) (-2137.773) [-2113.980] * (-2123.147) (-2131.885) (-2233.916) [-2127.852] -- 0:11:07
Average standard deviation of split frequencies: 0.013386
396000 -- (-2191.746) (-2141.232) (-2147.027) [-2109.652] * (-2131.488) [-2116.371] (-2233.652) (-2145.157) -- 0:11:06
397000 -- (-2220.022) (-2132.644) [-2112.009] (-2128.958) * (-2145.426) (-2134.167) (-2221.026) [-2113.765] -- 0:11:05
398000 -- (-2227.298) (-2140.300) [-2119.436] (-2136.024) * [-2103.336] (-2130.199) (-2233.282) (-2131.170) -- 0:11:04
399000 -- (-2217.701) (-2162.203) [-2136.020] (-2147.396) * [-2106.127] (-2140.315) (-2221.152) (-2131.295) -- 0:11:02
400000 -- (-2210.915) (-2142.739) [-2118.169] (-2146.635) * [-2116.977] (-2131.627) (-2214.081) (-2145.979) -- 0:11:01
Average standard deviation of split frequencies: 0.013674
401000 -- (-2225.175) (-2154.557) [-2129.277] (-2137.689) * [-2123.985] (-2116.064) (-2195.954) (-2135.154) -- 0:11:00
402000 -- (-2229.164) (-2138.506) [-2133.414] (-2139.471) * [-2125.214] (-2123.091) (-2216.763) (-2135.992) -- 0:10:58
403000 -- (-2228.516) (-2137.011) [-2131.589] (-2127.080) * (-2134.794) [-2122.159] (-2225.368) (-2154.178) -- 0:10:57
404000 -- (-2224.251) (-2144.846) [-2121.237] (-2140.517) * [-2119.857] (-2118.134) (-2226.802) (-2146.570) -- 0:10:57
405000 -- (-2211.303) [-2124.613] (-2128.825) (-2137.618) * (-2137.784) [-2112.007] (-2207.317) (-2139.930) -- 0:10:56
Average standard deviation of split frequencies: 0.013252
406000 -- (-2219.704) (-2149.755) [-2119.422] (-2127.241) * [-2127.357] (-2123.872) (-2227.168) (-2144.944) -- 0:10:55
407000 -- (-2216.069) (-2129.097) (-2111.772) [-2120.972] * [-2124.071] (-2126.474) (-2222.489) (-2147.274) -- 0:10:54
408000 -- (-2221.933) (-2116.142) (-2152.070) [-2102.569] * [-2104.208] (-2138.667) (-2213.250) (-2151.401) -- 0:10:52
409000 -- (-2232.169) [-2116.776] (-2139.106) (-2106.624) * [-2104.258] (-2148.024) (-2208.329) (-2138.799) -- 0:10:51
410000 -- (-2237.440) [-2119.904] (-2130.681) (-2116.436) * [-2105.627] (-2136.912) (-2210.564) (-2133.815) -- 0:10:50
Average standard deviation of split frequencies: 0.012889
411000 -- (-2217.205) (-2130.805) [-2126.727] (-2117.894) * [-2110.731] (-2162.549) (-2222.286) (-2124.457) -- 0:10:50
412000 -- (-2228.670) (-2153.759) (-2125.713) [-2111.718] * [-2118.998] (-2130.522) (-2232.291) (-2133.708) -- 0:10:49
413000 -- (-2235.444) (-2129.807) [-2111.941] (-2142.877) * [-2120.145] (-2142.544) (-2225.507) (-2127.246) -- 0:10:48
414000 -- (-2227.016) (-2171.500) [-2110.000] (-2139.523) * [-2103.991] (-2131.918) (-2233.579) (-2130.476) -- 0:10:46
415000 -- (-2221.128) (-2140.062) [-2120.984] (-2133.343) * (-2110.628) (-2146.085) (-2233.156) [-2120.383] -- 0:10:45
Average standard deviation of split frequencies: 0.012938
416000 -- (-2248.753) (-2120.552) [-2117.233] (-2162.245) * (-2126.697) (-2146.799) (-2226.671) [-2124.219] -- 0:10:44
417000 -- (-2240.326) (-2116.269) [-2113.905] (-2137.751) * (-2122.630) (-2153.677) (-2211.095) [-2112.578] -- 0:10:43
418000 -- (-2231.205) (-2136.806) [-2133.945] (-2131.274) * [-2098.697] (-2141.634) (-2225.204) (-2108.100) -- 0:10:43
419000 -- (-2234.694) (-2131.488) [-2117.923] (-2142.150) * [-2118.626] (-2141.767) (-2218.794) (-2132.214) -- 0:10:42
420000 -- (-2226.304) (-2125.968) [-2109.554] (-2137.911) * [-2124.377] (-2125.606) (-2212.233) (-2133.264) -- 0:10:40
Average standard deviation of split frequencies: 0.013435
421000 -- (-2218.034) (-2119.550) [-2112.769] (-2138.878) * [-2117.946] (-2138.431) (-2214.518) (-2129.432) -- 0:10:39
422000 -- (-2220.709) [-2113.033] (-2127.649) (-2145.152) * (-2114.740) (-2143.480) (-2224.890) [-2138.696] -- 0:10:38
423000 -- (-2208.675) [-2115.815] (-2121.066) (-2175.723) * (-2122.931) [-2129.814] (-2222.902) (-2133.196) -- 0:10:37
424000 -- (-2217.465) (-2126.054) [-2108.939] (-2153.176) * (-2135.607) (-2130.365) (-2216.749) [-2116.739] -- 0:10:35
425000 -- (-2218.837) (-2123.591) [-2107.634] (-2132.009) * (-2123.420) [-2117.051] (-2196.234) (-2137.446) -- 0:10:34
Average standard deviation of split frequencies: 0.013353
426000 -- (-2206.433) (-2118.038) [-2112.580] (-2146.461) * (-2119.001) [-2107.341] (-2198.801) (-2147.411) -- 0:10:33
427000 -- (-2209.075) (-2122.156) [-2125.018] (-2125.478) * (-2136.734) [-2121.800] (-2185.756) (-2149.070) -- 0:10:33
428000 -- (-2222.045) [-2116.624] (-2124.093) (-2142.415) * [-2130.395] (-2117.923) (-2190.720) (-2157.062) -- 0:10:32
429000 -- (-2207.084) [-2099.201] (-2157.479) (-2113.128) * (-2111.681) [-2126.678] (-2200.766) (-2155.966) -- 0:10:30
430000 -- (-2236.952) (-2110.631) (-2142.523) [-2113.704] * [-2119.405] (-2147.946) (-2206.921) (-2154.811) -- 0:10:29
Average standard deviation of split frequencies: 0.013340
431000 -- (-2225.674) [-2115.998] (-2143.709) (-2133.679) * [-2112.462] (-2116.838) (-2217.912) (-2134.071) -- 0:10:28
432000 -- (-2222.118) (-2117.786) (-2134.032) [-2125.404] * [-2116.023] (-2154.788) (-2213.275) (-2127.713) -- 0:10:27
433000 -- (-2227.977) (-2114.067) (-2150.147) [-2134.078] * [-2102.559] (-2145.264) (-2200.809) (-2153.980) -- 0:10:25
434000 -- (-2243.842) (-2120.649) [-2118.948] (-2137.959) * [-2103.489] (-2126.853) (-2228.837) (-2151.481) -- 0:10:25
435000 -- (-2211.103) [-2122.801] (-2130.777) (-2141.620) * [-2105.522] (-2124.690) (-2224.225) (-2143.893) -- 0:10:24
Average standard deviation of split frequencies: 0.013375
436000 -- (-2216.806) [-2112.029] (-2123.674) (-2136.646) * [-2119.982] (-2138.449) (-2244.646) (-2137.397) -- 0:10:23
437000 -- (-2240.560) (-2135.712) (-2136.252) [-2110.221] * (-2126.989) [-2125.767] (-2240.664) (-2151.781) -- 0:10:22
438000 -- (-2230.972) (-2118.906) (-2153.234) [-2109.990] * [-2128.969] (-2128.377) (-2218.071) (-2141.470) -- 0:10:21
439000 -- (-2216.127) (-2134.447) (-2163.907) [-2105.098] * (-2124.518) [-2140.023] (-2218.354) (-2141.067) -- 0:10:19
440000 -- (-2211.178) (-2129.393) (-2144.833) [-2110.536] * [-2127.758] (-2131.277) (-2216.970) (-2141.156) -- 0:10:18
Average standard deviation of split frequencies: 0.013270
441000 -- (-2205.318) (-2126.152) (-2154.728) [-2112.348] * [-2132.273] (-2119.779) (-2206.283) (-2117.962) -- 0:10:17
442000 -- (-2207.338) (-2133.514) (-2141.240) [-2106.673] * [-2125.699] (-2136.744) (-2210.535) (-2142.018) -- 0:10:16
443000 -- (-2212.486) (-2148.474) (-2121.708) [-2110.456] * [-2135.838] (-2136.617) (-2202.628) (-2129.318) -- 0:10:14
444000 -- (-2222.298) (-2140.192) [-2107.289] (-2126.448) * [-2116.600] (-2150.936) (-2220.553) (-2153.454) -- 0:10:14
445000 -- (-2212.248) (-2146.791) [-2114.710] (-2137.501) * [-2115.662] (-2144.183) (-2217.345) (-2142.734) -- 0:10:13
Average standard deviation of split frequencies: 0.013369
446000 -- (-2230.544) (-2148.472) [-2115.640] (-2121.029) * [-2117.341] (-2140.983) (-2217.104) (-2133.633) -- 0:10:12
447000 -- (-2218.905) (-2138.606) [-2113.084] (-2112.420) * [-2109.215] (-2143.123) (-2208.149) (-2126.777) -- 0:10:11
448000 -- (-2216.654) (-2119.759) [-2121.349] (-2125.405) * (-2136.261) [-2123.182] (-2215.836) (-2127.967) -- 0:10:09
449000 -- (-2210.133) (-2132.889) [-2117.468] (-2119.066) * (-2139.713) [-2151.849] (-2212.297) (-2128.684) -- 0:10:08
450000 -- (-2202.946) (-2126.956) (-2141.467) [-2120.669] * (-2128.364) (-2122.596) (-2216.839) [-2127.264] -- 0:10:07
Average standard deviation of split frequencies: 0.013644
451000 -- (-2215.699) (-2137.381) (-2156.401) [-2109.512] * (-2119.139) (-2143.972) (-2207.894) [-2120.643] -- 0:10:06
452000 -- (-2217.519) (-2119.253) (-2131.677) [-2104.285] * (-2117.768) (-2150.248) (-2219.645) [-2131.833] -- 0:10:04
453000 -- (-2223.093) (-2131.679) (-2137.544) [-2109.369] * [-2115.872] (-2142.861) (-2219.954) (-2121.653) -- 0:10:03
454000 -- (-2230.105) [-2128.438] (-2150.752) (-2127.299) * [-2125.334] (-2147.730) (-2205.898) (-2130.177) -- 0:10:03
455000 -- (-2228.129) [-2109.276] (-2157.789) (-2127.840) * [-2138.847] (-2146.421) (-2206.112) (-2125.900) -- 0:10:02
Average standard deviation of split frequencies: 0.013563
456000 -- (-2220.366) [-2109.396] (-2149.806) (-2116.203) * (-2137.071) (-2143.285) (-2208.293) [-2110.109] -- 0:10:01
457000 -- (-2224.446) [-2120.583] (-2125.289) (-2127.984) * (-2151.129) [-2129.413] (-2221.504) (-2109.295) -- 0:10:00
458000 -- (-2209.424) (-2124.281) [-2122.461] (-2136.192) * (-2125.873) [-2125.344] (-2210.020) (-2110.234) -- 0:09:58
459000 -- (-2210.155) (-2147.713) [-2121.118] (-2139.125) * (-2135.933) [-2124.959] (-2223.592) (-2111.902) -- 0:09:57
460000 -- (-2206.655) (-2110.706) [-2114.241] (-2139.976) * (-2141.847) (-2138.636) (-2234.644) [-2114.881] -- 0:09:56
Average standard deviation of split frequencies: 0.013652
461000 -- (-2220.143) [-2117.658] (-2128.937) (-2134.937) * (-2114.030) (-2158.038) (-2241.425) [-2114.732] -- 0:09:55
462000 -- (-2216.433) [-2132.079] (-2140.245) (-2155.040) * [-2106.203] (-2138.035) (-2223.763) (-2141.062) -- 0:09:53
463000 -- (-2216.046) (-2128.930) (-2139.531) [-2124.868] * [-2099.629] (-2148.319) (-2210.839) (-2132.306) -- 0:09:52
464000 -- (-2214.067) (-2126.322) (-2140.215) [-2110.170] * [-2114.843] (-2150.381) (-2233.348) (-2127.691) -- 0:09:51
465000 -- (-2211.710) (-2117.198) (-2141.084) [-2104.277] * (-2137.912) (-2140.662) (-2235.015) [-2108.801] -- 0:09:50
Average standard deviation of split frequencies: 0.013712
466000 -- (-2221.097) (-2128.501) (-2159.218) [-2112.573] * (-2130.258) (-2137.935) (-2232.662) [-2112.437] -- 0:09:49
467000 -- (-2208.189) (-2123.381) (-2183.513) [-2113.665] * [-2122.309] (-2139.649) (-2217.183) (-2129.653) -- 0:09:47
468000 -- (-2218.620) (-2149.969) (-2142.219) [-2112.781] * [-2106.819] (-2139.072) (-2206.951) (-2130.129) -- 0:09:47
469000 -- (-2198.965) (-2134.960) (-2142.016) [-2110.995] * [-2119.896] (-2133.304) (-2207.188) (-2110.739) -- 0:09:46
470000 -- (-2208.611) (-2111.812) (-2146.401) [-2118.394] * [-2115.944] (-2130.753) (-2214.151) (-2138.105) -- 0:09:45
Average standard deviation of split frequencies: 0.014098
471000 -- (-2210.984) [-2116.694] (-2141.619) (-2127.140) * [-2118.562] (-2135.773) (-2205.699) (-2129.570) -- 0:09:44
472000 -- (-2203.141) [-2120.330] (-2197.085) (-2128.000) * (-2122.326) (-2136.268) (-2217.047) [-2110.583] -- 0:09:42
473000 -- (-2191.378) [-2114.241] (-2208.452) (-2114.776) * [-2124.138] (-2148.925) (-2225.590) (-2133.833) -- 0:09:41
474000 -- (-2195.772) (-2130.330) (-2205.969) [-2109.523] * (-2128.571) (-2149.132) (-2214.193) [-2124.809] -- 0:09:40
475000 -- (-2218.849) [-2129.411] (-2194.367) (-2122.225) * [-2116.058] (-2136.322) (-2223.627) (-2134.929) -- 0:09:39
Average standard deviation of split frequencies: 0.014188
476000 -- (-2212.530) [-2122.330] (-2212.359) (-2107.134) * [-2110.589] (-2141.311) (-2231.386) (-2138.563) -- 0:09:37
477000 -- (-2208.098) [-2121.390] (-2215.249) (-2116.241) * [-2116.886] (-2146.240) (-2199.254) (-2138.238) -- 0:09:37
478000 -- (-2212.349) [-2127.775] (-2210.393) (-2123.856) * (-2114.365) (-2155.964) (-2211.674) [-2131.609] -- 0:09:36
479000 -- (-2238.171) [-2126.913] (-2208.679) (-2120.093) * [-2124.969] (-2134.245) (-2203.647) (-2154.558) -- 0:09:35
480000 -- (-2219.003) (-2132.195) (-2204.027) [-2117.053] * [-2111.342] (-2153.533) (-2192.952) (-2171.807) -- 0:09:34
Average standard deviation of split frequencies: 0.013957
481000 -- (-2210.395) (-2134.387) (-2192.964) [-2111.076] * [-2105.287] (-2142.169) (-2198.986) (-2146.790) -- 0:09:32
482000 -- (-2233.150) (-2149.943) (-2197.650) [-2097.626] * [-2103.053] (-2153.898) (-2203.775) (-2128.031) -- 0:09:31
483000 -- (-2217.699) (-2129.701) (-2185.240) [-2101.457] * [-2103.753] (-2141.526) (-2207.003) (-2129.776) -- 0:09:30
484000 -- (-2234.199) (-2127.555) (-2183.444) [-2112.408] * [-2100.983] (-2118.556) (-2221.469) (-2140.870) -- 0:09:29
485000 -- (-2220.056) (-2117.632) (-2181.365) [-2108.117] * (-2113.771) (-2130.849) (-2212.369) [-2118.101] -- 0:09:29
Average standard deviation of split frequencies: 0.013558
486000 -- (-2239.832) [-2120.938] (-2178.526) (-2111.495) * [-2115.484] (-2135.574) (-2206.182) (-2115.092) -- 0:09:27
487000 -- (-2236.174) (-2113.394) (-2198.146) [-2128.635] * (-2134.402) (-2128.522) (-2214.219) [-2110.206] -- 0:09:26
488000 -- (-2226.409) [-2120.429] (-2184.943) (-2133.217) * [-2120.255] (-2139.636) (-2215.738) (-2126.933) -- 0:09:25
489000 -- (-2226.030) [-2115.351] (-2184.109) (-2120.295) * [-2131.066] (-2152.403) (-2210.982) (-2128.337) -- 0:09:24
490000 -- (-2214.822) (-2115.291) (-2191.442) [-2114.266] * (-2119.374) (-2136.315) (-2217.977) [-2125.925] -- 0:09:23
Average standard deviation of split frequencies: 0.013292
491000 -- (-2234.125) (-2127.692) (-2191.813) [-2118.438] * [-2114.921] (-2129.926) (-2198.584) (-2126.383) -- 0:09:21
492000 -- (-2242.139) [-2126.149] (-2197.763) (-2122.966) * [-2109.910] (-2123.361) (-2215.871) (-2130.189) -- 0:09:20
493000 -- (-2238.020) [-2135.145] (-2196.395) (-2121.953) * (-2120.777) (-2138.799) (-2216.338) [-2106.206] -- 0:09:20
494000 -- (-2229.141) (-2135.316) (-2204.259) [-2113.933] * (-2146.202) [-2106.438] (-2207.253) (-2102.894) -- 0:09:19
495000 -- (-2217.181) [-2136.094] (-2205.770) (-2139.489) * (-2151.906) (-2123.211) (-2228.998) [-2114.871] -- 0:09:18
Average standard deviation of split frequencies: 0.013151
496000 -- (-2212.000) (-2121.444) (-2199.562) [-2143.715] * (-2150.041) (-2131.091) (-2221.336) [-2113.262] -- 0:09:16
497000 -- (-2215.176) [-2120.784] (-2191.277) (-2132.425) * (-2144.700) [-2111.244] (-2221.258) (-2134.096) -- 0:09:15
498000 -- (-2220.348) [-2127.408] (-2199.280) (-2131.679) * (-2128.606) [-2102.578] (-2224.250) (-2139.815) -- 0:09:14
499000 -- (-2222.525) [-2137.551] (-2196.807) (-2129.229) * (-2131.689) [-2100.300] (-2216.874) (-2154.947) -- 0:09:13
500000 -- (-2229.954) [-2118.630] (-2188.527) (-2130.473) * (-2138.850) [-2123.243] (-2222.317) (-2123.662) -- 0:09:12
Average standard deviation of split frequencies: 0.013683
501000 -- (-2231.521) [-2118.011] (-2194.501) (-2121.255) * (-2160.876) [-2117.988] (-2202.510) (-2141.761) -- 0:09:11
502000 -- (-2221.767) [-2118.461] (-2196.471) (-2148.505) * (-2152.190) [-2120.272] (-2209.791) (-2139.327) -- 0:09:10
503000 -- (-2225.443) [-2117.668] (-2186.845) (-2151.863) * (-2125.419) [-2115.277] (-2213.358) (-2147.070) -- 0:09:09
504000 -- (-2234.786) [-2120.624] (-2190.311) (-2156.020) * (-2132.093) [-2125.993] (-2213.001) (-2138.755) -- 0:09:08
505000 -- (-2241.607) [-2124.481] (-2207.950) (-2138.859) * (-2129.376) [-2107.104] (-2226.407) (-2141.938) -- 0:09:06
Average standard deviation of split frequencies: 0.013904
506000 -- (-2221.633) (-2122.335) (-2221.331) [-2124.977] * (-2132.825) (-2105.985) (-2216.938) [-2128.375] -- 0:09:05
507000 -- (-2199.165) (-2126.009) (-2196.152) [-2125.500] * (-2162.377) [-2116.493] (-2229.014) (-2126.767) -- 0:09:04
508000 -- (-2212.521) (-2133.226) (-2175.296) [-2123.880] * (-2165.095) [-2111.460] (-2215.974) (-2138.283) -- 0:09:03
509000 -- (-2203.790) [-2120.617] (-2184.510) (-2121.593) * (-2156.293) [-2112.579] (-2240.178) (-2127.497) -- 0:09:02
510000 -- (-2214.553) [-2109.058] (-2188.726) (-2128.560) * (-2142.982) [-2109.804] (-2205.843) (-2150.761) -- 0:09:01
Average standard deviation of split frequencies: 0.014174
511000 -- (-2211.346) [-2105.184] (-2203.675) (-2123.760) * (-2150.466) [-2112.848] (-2217.359) (-2126.438) -- 0:09:00
512000 -- (-2219.988) [-2106.437] (-2187.922) (-2136.157) * (-2142.548) [-2112.237] (-2220.206) (-2126.535) -- 0:08:59
513000 -- (-2203.590) [-2115.366] (-2195.195) (-2125.159) * (-2129.150) (-2123.567) (-2236.354) [-2119.921] -- 0:08:58
514000 -- (-2204.249) (-2127.373) (-2168.851) [-2123.773] * (-2143.199) [-2109.272] (-2229.300) (-2121.153) -- 0:08:57
515000 -- (-2207.763) (-2124.243) (-2190.743) [-2117.652] * (-2156.210) [-2121.750] (-2228.582) (-2146.326) -- 0:08:55
Average standard deviation of split frequencies: 0.013813
516000 -- (-2199.142) (-2112.621) (-2199.720) [-2120.425] * (-2137.854) [-2130.286] (-2227.953) (-2129.208) -- 0:08:54
517000 -- (-2202.945) [-2118.998] (-2204.052) (-2126.248) * (-2138.980) [-2123.669] (-2212.123) (-2136.907) -- 0:08:53
518000 -- (-2189.032) [-2117.406] (-2200.890) (-2110.833) * (-2117.499) [-2117.815] (-2218.462) (-2157.706) -- 0:08:52
519000 -- (-2198.743) (-2117.362) (-2226.487) [-2123.802] * [-2122.072] (-2135.552) (-2218.728) (-2144.249) -- 0:08:51
520000 -- (-2201.873) (-2115.560) (-2205.951) [-2131.472] * [-2103.823] (-2126.168) (-2233.168) (-2145.000) -- 0:08:49
Average standard deviation of split frequencies: 0.013758
521000 -- (-2213.778) (-2112.293) (-2203.867) [-2110.143] * [-2110.089] (-2120.489) (-2225.717) (-2172.177) -- 0:08:48
522000 -- (-2185.384) (-2128.091) (-2206.182) [-2112.082] * [-2117.031] (-2149.865) (-2236.007) (-2146.853) -- 0:08:47
523000 -- (-2215.056) [-2116.978] (-2185.975) (-2105.305) * [-2107.029] (-2140.900) (-2230.959) (-2156.407) -- 0:08:46
524000 -- (-2237.793) [-2122.545] (-2197.896) (-2117.938) * [-2112.626] (-2127.302) (-2226.111) (-2152.410) -- 0:08:45
525000 -- (-2220.498) (-2117.470) (-2196.169) [-2117.975] * [-2104.518] (-2136.002) (-2241.141) (-2128.615) -- 0:08:43
Average standard deviation of split frequencies: 0.013472
526000 -- (-2221.569) (-2114.631) (-2184.257) [-2120.465] * (-2125.643) (-2129.734) (-2224.880) [-2110.471] -- 0:08:43
527000 -- (-2212.079) [-2110.285] (-2214.484) (-2110.607) * (-2136.721) [-2133.171] (-2206.713) (-2126.750) -- 0:08:42
528000 -- (-2196.244) (-2124.026) (-2200.438) [-2122.228] * (-2129.980) [-2111.420] (-2209.696) (-2133.559) -- 0:08:41
529000 -- (-2225.316) (-2112.679) (-2207.144) [-2105.036] * [-2117.310] (-2121.200) (-2216.985) (-2117.408) -- 0:08:39
530000 -- (-2204.088) (-2123.140) (-2210.489) [-2100.230] * (-2126.962) [-2113.384] (-2209.761) (-2118.288) -- 0:08:38
Average standard deviation of split frequencies: 0.013268
531000 -- (-2189.547) [-2120.596] (-2174.771) (-2110.784) * (-2146.751) [-2107.273] (-2223.319) (-2122.213) -- 0:08:37
532000 -- (-2204.174) [-2113.107] (-2199.341) (-2116.306) * (-2138.132) [-2108.130] (-2201.601) (-2150.468) -- 0:08:36
533000 -- (-2204.715) [-2125.365] (-2209.252) (-2117.215) * (-2133.306) [-2113.448] (-2216.500) (-2135.247) -- 0:08:35
534000 -- (-2203.484) (-2126.275) (-2199.325) [-2110.531] * (-2144.037) [-2106.976] (-2209.133) (-2131.607) -- 0:08:33
535000 -- (-2202.527) (-2124.103) (-2197.021) [-2109.192] * (-2156.945) (-2136.295) (-2205.747) [-2125.463] -- 0:08:32
Average standard deviation of split frequencies: 0.013277
536000 -- (-2208.075) [-2129.574] (-2198.755) (-2123.512) * (-2125.563) [-2132.199] (-2221.344) (-2159.696) -- 0:08:32
537000 -- (-2195.113) (-2139.427) (-2199.581) [-2124.043] * [-2129.749] (-2136.130) (-2214.698) (-2157.263) -- 0:08:31
538000 -- (-2216.757) [-2124.385] (-2193.534) (-2133.938) * [-2123.258] (-2142.832) (-2219.059) (-2170.834) -- 0:08:30
539000 -- (-2199.509) (-2128.821) (-2176.102) [-2130.867] * [-2124.688] (-2133.366) (-2219.317) (-2142.599) -- 0:08:28
540000 -- (-2197.978) (-2114.537) (-2182.419) [-2107.481] * [-2112.321] (-2130.113) (-2240.187) (-2147.537) -- 0:08:27
Average standard deviation of split frequencies: 0.012919
541000 -- (-2195.851) (-2116.883) (-2212.511) [-2115.110] * [-2123.761] (-2128.127) (-2228.213) (-2136.717) -- 0:08:26
542000 -- (-2222.492) [-2110.513] (-2204.339) (-2119.940) * [-2115.099] (-2115.474) (-2216.956) (-2133.989) -- 0:08:25
543000 -- (-2214.091) [-2113.937] (-2182.876) (-2110.310) * (-2122.647) [-2114.856] (-2230.392) (-2151.778) -- 0:08:24
544000 -- (-2218.036) [-2123.667] (-2173.583) (-2129.423) * (-2127.789) [-2104.647] (-2205.151) (-2126.089) -- 0:08:23
545000 -- (-2201.293) [-2111.180] (-2173.707) (-2114.290) * (-2138.594) [-2111.080] (-2214.899) (-2135.060) -- 0:08:22
Average standard deviation of split frequencies: 0.012886
546000 -- (-2191.000) (-2115.815) (-2198.118) [-2116.167] * (-2165.062) [-2107.633] (-2221.112) (-2122.352) -- 0:08:21
547000 -- (-2194.259) (-2138.897) (-2182.740) [-2126.681] * (-2134.330) [-2117.114] (-2241.809) (-2129.778) -- 0:08:20
548000 -- (-2204.333) [-2115.249] (-2192.411) (-2119.962) * (-2131.164) (-2128.721) (-2210.441) [-2124.269] -- 0:08:19
549000 -- (-2196.010) [-2118.602] (-2189.134) (-2124.831) * (-2121.034) [-2115.430] (-2225.439) (-2147.830) -- 0:08:17
550000 -- (-2197.617) [-2114.935] (-2192.502) (-2122.619) * (-2132.123) [-2113.254] (-2235.269) (-2156.347) -- 0:08:16
Average standard deviation of split frequencies: 0.012915
551000 -- (-2209.065) [-2105.695] (-2200.095) (-2124.093) * (-2139.395) [-2107.410] (-2233.352) (-2160.342) -- 0:08:15
552000 -- (-2197.612) [-2109.983] (-2188.584) (-2144.042) * (-2137.307) [-2121.919] (-2227.204) (-2161.783) -- 0:08:14
553000 -- (-2202.064) [-2123.613] (-2188.846) (-2145.568) * (-2130.815) [-2118.487] (-2218.358) (-2144.575) -- 0:08:13
554000 -- (-2193.924) [-2115.747] (-2191.356) (-2155.502) * [-2117.713] (-2120.580) (-2204.331) (-2134.629) -- 0:08:12
555000 -- (-2196.461) [-2112.318] (-2203.316) (-2156.669) * [-2122.180] (-2111.247) (-2220.899) (-2136.570) -- 0:08:11
Average standard deviation of split frequencies: 0.013064
556000 -- (-2201.695) [-2111.066] (-2188.178) (-2136.105) * (-2120.281) [-2116.188] (-2211.368) (-2145.247) -- 0:08:10
557000 -- (-2201.301) [-2117.214] (-2190.326) (-2126.189) * (-2124.984) [-2111.351] (-2224.072) (-2143.166) -- 0:08:09
558000 -- (-2216.027) (-2116.855) (-2193.061) [-2117.746] * (-2120.474) [-2106.297] (-2217.315) (-2141.174) -- 0:08:07
559000 -- (-2201.971) [-2101.693] (-2209.066) (-2129.214) * (-2102.419) [-2109.884] (-2208.824) (-2142.894) -- 0:08:06
560000 -- (-2214.834) [-2121.512] (-2189.172) (-2125.218) * (-2113.634) (-2128.715) (-2210.415) [-2121.557] -- 0:08:05
Average standard deviation of split frequencies: 0.012919
561000 -- (-2219.123) (-2135.731) (-2185.460) [-2120.560] * [-2116.176] (-2138.887) (-2202.680) (-2119.019) -- 0:08:05
562000 -- (-2195.360) [-2111.333] (-2197.562) (-2119.547) * (-2119.857) [-2113.218] (-2214.061) (-2137.482) -- 0:08:03
563000 -- (-2185.224) [-2118.901] (-2188.679) (-2117.826) * [-2126.329] (-2123.343) (-2217.147) (-2148.456) -- 0:08:02
564000 -- (-2186.344) [-2113.288] (-2192.613) (-2115.597) * (-2122.147) [-2123.872] (-2211.611) (-2151.644) -- 0:08:01
565000 -- (-2190.822) [-2110.246] (-2187.718) (-2124.650) * (-2115.773) [-2108.300] (-2208.160) (-2140.050) -- 0:08:00
Average standard deviation of split frequencies: 0.012708
566000 -- (-2209.439) (-2108.837) (-2194.898) [-2116.616] * (-2129.439) [-2105.065] (-2211.041) (-2166.117) -- 0:07:59
567000 -- (-2209.164) [-2123.804] (-2195.518) (-2123.564) * [-2123.009] (-2108.489) (-2224.996) (-2158.846) -- 0:07:58
568000 -- (-2199.249) (-2127.166) (-2197.601) [-2112.350] * (-2143.590) [-2107.747] (-2206.872) (-2161.580) -- 0:07:56
569000 -- (-2201.200) (-2126.391) (-2187.263) [-2111.854] * (-2135.940) [-2104.836] (-2200.380) (-2141.272) -- 0:07:56
570000 -- (-2189.115) [-2121.930] (-2181.231) (-2116.760) * (-2139.753) [-2109.941] (-2208.416) (-2123.248) -- 0:07:55
Average standard deviation of split frequencies: 0.012613
571000 -- (-2210.850) [-2121.843] (-2187.006) (-2122.046) * (-2134.534) [-2116.120] (-2197.320) (-2130.448) -- 0:07:54
572000 -- (-2213.248) (-2125.086) (-2184.743) [-2126.440] * (-2138.008) [-2115.236] (-2220.389) (-2142.987) -- 0:07:52
573000 -- (-2204.858) (-2156.172) (-2190.322) [-2127.196] * (-2138.431) [-2116.565] (-2211.311) (-2150.962) -- 0:07:51
574000 -- (-2211.226) (-2137.800) (-2204.734) [-2111.841] * (-2133.520) [-2127.922] (-2204.701) (-2139.467) -- 0:07:50
575000 -- (-2203.908) (-2142.109) (-2192.670) [-2129.618] * (-2133.037) [-2123.752] (-2210.751) (-2156.765) -- 0:07:49
Average standard deviation of split frequencies: 0.012399
576000 -- (-2201.603) (-2146.216) (-2190.914) [-2132.939] * [-2117.554] (-2134.001) (-2205.152) (-2155.181) -- 0:07:48
577000 -- (-2207.068) (-2131.362) (-2186.999) [-2134.168] * [-2105.723] (-2134.118) (-2221.070) (-2142.834) -- 0:07:47
578000 -- (-2189.972) (-2130.793) (-2211.268) [-2135.588] * [-2126.381] (-2141.380) (-2192.864) (-2130.559) -- 0:07:46
579000 -- (-2195.886) [-2120.498] (-2206.627) (-2122.797) * (-2125.073) (-2134.320) (-2216.076) [-2119.934] -- 0:07:45
580000 -- (-2185.019) (-2107.592) (-2189.838) [-2119.188] * (-2139.009) (-2138.048) (-2201.025) [-2116.295] -- 0:07:44
Average standard deviation of split frequencies: 0.012099
581000 -- (-2208.219) [-2117.678] (-2182.651) (-2136.953) * (-2144.308) [-2122.038] (-2212.288) (-2156.241) -- 0:07:42
582000 -- (-2195.665) (-2120.358) (-2196.473) [-2112.641] * (-2139.695) [-2108.388] (-2224.281) (-2129.712) -- 0:07:41
583000 -- (-2187.632) (-2133.624) (-2192.322) [-2109.777] * (-2131.829) [-2114.608] (-2226.508) (-2163.899) -- 0:07:40
584000 -- (-2191.829) (-2141.695) (-2196.566) [-2104.160] * (-2129.307) [-2117.214] (-2235.027) (-2147.316) -- 0:07:39
585000 -- (-2199.029) (-2122.578) (-2184.374) [-2104.198] * [-2121.947] (-2115.715) (-2239.772) (-2172.982) -- 0:07:38
Average standard deviation of split frequencies: 0.011885
586000 -- (-2194.170) (-2124.849) (-2189.494) [-2098.198] * (-2133.719) [-2119.347] (-2225.198) (-2151.916) -- 0:07:37
587000 -- (-2183.025) [-2117.477] (-2197.108) (-2116.113) * (-2131.865) [-2121.151] (-2231.870) (-2146.227) -- 0:07:35
588000 -- (-2180.829) [-2126.429] (-2209.194) (-2123.208) * (-2135.044) [-2115.752] (-2230.262) (-2145.058) -- 0:07:34
589000 -- (-2175.421) (-2136.940) (-2202.838) [-2101.167] * (-2131.624) [-2118.195] (-2204.646) (-2139.284) -- 0:07:33
590000 -- (-2176.910) (-2116.486) (-2196.508) [-2095.613] * [-2120.842] (-2147.083) (-2226.280) (-2120.379) -- 0:07:33
Average standard deviation of split frequencies: 0.011746
591000 -- (-2189.004) (-2133.013) (-2199.756) [-2111.150] * [-2113.788] (-2133.886) (-2229.862) (-2123.489) -- 0:07:31
592000 -- (-2191.672) (-2113.731) (-2191.547) [-2118.963] * (-2117.079) (-2143.350) (-2206.593) [-2126.606] -- 0:07:30
593000 -- (-2194.781) (-2134.130) (-2189.077) [-2118.394] * (-2136.087) (-2146.961) (-2215.049) [-2111.622] -- 0:07:29
594000 -- (-2197.866) (-2125.745) (-2176.040) [-2120.361] * (-2110.424) (-2156.551) (-2216.629) [-2106.592] -- 0:07:28
595000 -- (-2213.441) (-2133.248) (-2194.237) [-2105.919] * (-2126.082) (-2157.796) (-2210.880) [-2120.865] -- 0:07:27
Average standard deviation of split frequencies: 0.011993
596000 -- (-2204.830) (-2140.456) (-2187.994) [-2119.100] * (-2124.682) (-2182.645) (-2194.453) [-2121.248] -- 0:07:26
597000 -- (-2197.825) (-2116.127) (-2187.769) [-2112.082] * (-2121.753) (-2169.285) (-2204.338) [-2116.496] -- 0:07:24
598000 -- (-2192.008) (-2125.925) (-2183.680) [-2107.712] * (-2124.671) (-2186.150) (-2196.848) [-2113.507] -- 0:07:23
599000 -- (-2222.622) (-2121.219) (-2215.561) [-2121.036] * (-2125.470) (-2158.088) (-2213.231) [-2118.519] -- 0:07:22
600000 -- (-2202.435) (-2135.144) (-2194.333) [-2104.327] * (-2145.342) (-2135.412) (-2212.932) [-2121.732] -- 0:07:21
Average standard deviation of split frequencies: 0.011772
601000 -- (-2184.285) [-2135.885] (-2207.493) (-2116.546) * [-2124.194] (-2137.965) (-2210.432) (-2119.836) -- 0:07:20
602000 -- (-2172.188) (-2123.924) (-2190.606) [-2100.129] * (-2146.034) (-2135.314) (-2223.260) [-2112.943] -- 0:07:19
603000 -- (-2198.283) (-2127.830) (-2188.015) [-2105.852] * (-2146.873) (-2128.904) (-2222.147) [-2112.138] -- 0:07:18
604000 -- (-2202.250) [-2107.224] (-2192.216) (-2114.561) * (-2129.806) [-2129.257] (-2227.459) (-2112.068) -- 0:07:17
605000 -- (-2178.065) (-2135.717) (-2199.310) [-2107.512] * (-2128.792) [-2124.909] (-2229.659) (-2143.421) -- 0:07:16
Average standard deviation of split frequencies: 0.011559
606000 -- (-2186.563) (-2108.996) (-2198.191) [-2123.959] * [-2122.816] (-2120.758) (-2216.356) (-2161.721) -- 0:07:14
607000 -- (-2177.050) [-2104.686] (-2205.255) (-2129.662) * [-2115.824] (-2121.687) (-2212.661) (-2158.406) -- 0:07:13
608000 -- (-2194.563) [-2112.778] (-2198.651) (-2116.308) * (-2124.104) [-2109.114] (-2188.504) (-2164.521) -- 0:07:13
609000 -- (-2185.727) (-2102.996) (-2207.860) [-2105.015] * [-2117.707] (-2124.555) (-2200.835) (-2157.983) -- 0:07:12
610000 -- (-2196.251) [-2112.550] (-2200.871) (-2127.119) * (-2126.961) [-2119.897] (-2206.917) (-2122.191) -- 0:07:10
Average standard deviation of split frequencies: 0.011470
611000 -- (-2198.346) (-2117.571) (-2198.717) [-2110.276] * (-2132.973) [-2116.366] (-2195.982) (-2120.527) -- 0:07:09
612000 -- (-2189.767) (-2115.361) (-2200.388) [-2105.379] * (-2140.876) (-2131.513) (-2248.920) [-2110.622] -- 0:07:08
613000 -- (-2190.011) (-2110.903) (-2215.534) [-2111.653] * (-2148.445) [-2132.420] (-2218.543) (-2105.007) -- 0:07:07
614000 -- (-2205.126) (-2112.827) (-2229.758) [-2115.930] * (-2153.438) (-2113.065) (-2209.743) [-2113.015] -- 0:07:06
615000 -- (-2203.557) (-2129.700) (-2207.666) [-2115.194] * [-2115.579] (-2133.440) (-2219.926) (-2113.963) -- 0:07:05
Average standard deviation of split frequencies: 0.011188
616000 -- (-2207.198) [-2110.652] (-2202.332) (-2121.711) * (-2104.635) (-2138.087) (-2202.086) [-2117.069] -- 0:07:03
617000 -- (-2200.506) [-2105.329] (-2207.473) (-2120.183) * (-2109.917) (-2151.592) (-2220.720) [-2122.585] -- 0:07:02
618000 -- (-2208.970) [-2112.391] (-2197.225) (-2114.291) * [-2115.131] (-2130.273) (-2256.961) (-2124.386) -- 0:07:02
619000 -- (-2208.380) (-2127.569) (-2196.539) [-2119.712] * [-2117.082] (-2135.130) (-2232.143) (-2123.420) -- 0:07:01
620000 -- (-2201.599) (-2129.733) (-2198.053) [-2104.111] * [-2111.545] (-2126.167) (-2229.999) (-2142.562) -- 0:06:59
Average standard deviation of split frequencies: 0.011475
621000 -- (-2205.774) (-2122.048) (-2190.668) [-2098.780] * [-2109.014] (-2154.383) (-2221.656) (-2135.890) -- 0:06:58
622000 -- (-2213.722) (-2119.086) (-2197.882) [-2124.693] * (-2111.801) (-2146.873) (-2214.620) [-2122.247] -- 0:06:57
623000 -- (-2213.217) (-2118.069) (-2212.778) [-2128.477] * [-2108.703] (-2143.342) (-2237.985) (-2123.346) -- 0:06:56
624000 -- (-2207.533) [-2110.518] (-2217.100) (-2109.870) * (-2122.597) (-2148.145) (-2212.761) [-2110.553] -- 0:06:55
625000 -- (-2196.029) (-2122.340) (-2195.265) [-2110.423] * (-2138.526) (-2127.104) (-2220.092) [-2112.800] -- 0:06:54
Average standard deviation of split frequencies: 0.011814
626000 -- (-2198.021) [-2116.094] (-2179.047) (-2109.407) * (-2127.206) [-2127.134] (-2219.364) (-2131.000) -- 0:06:53
627000 -- (-2187.481) (-2113.751) (-2193.590) [-2111.776] * (-2120.098) [-2112.231] (-2212.081) (-2138.094) -- 0:06:52
628000 -- (-2196.780) (-2114.542) (-2180.655) [-2102.410] * (-2121.557) [-2102.683] (-2237.773) (-2142.438) -- 0:06:51
629000 -- (-2201.231) (-2116.073) (-2172.236) [-2109.578] * (-2127.864) [-2110.581] (-2221.340) (-2148.177) -- 0:06:49
630000 -- (-2194.315) [-2110.893] (-2192.330) (-2109.358) * [-2119.107] (-2099.520) (-2225.866) (-2167.921) -- 0:06:48
Average standard deviation of split frequencies: 0.011734
631000 -- (-2170.004) [-2117.467] (-2179.562) (-2130.032) * (-2128.225) [-2125.494] (-2222.294) (-2164.173) -- 0:06:47
632000 -- (-2182.579) [-2108.154] (-2187.537) (-2120.373) * (-2124.209) [-2126.053] (-2213.062) (-2159.205) -- 0:06:46
633000 -- (-2192.829) [-2107.837] (-2181.069) (-2136.127) * (-2134.108) [-2120.515] (-2212.859) (-2145.631) -- 0:06:45
634000 -- (-2196.116) [-2107.272] (-2202.696) (-2125.678) * (-2130.618) [-2112.892] (-2214.531) (-2143.715) -- 0:06:44
635000 -- (-2185.550) [-2110.223] (-2197.361) (-2130.785) * (-2131.449) [-2104.499] (-2187.427) (-2154.619) -- 0:06:43
Average standard deviation of split frequencies: 0.011843
636000 -- (-2198.995) [-2142.312] (-2185.612) (-2142.331) * (-2133.919) [-2109.648] (-2204.788) (-2142.635) -- 0:06:42
637000 -- (-2173.545) (-2135.541) (-2190.977) [-2124.231] * (-2122.637) [-2115.613] (-2209.835) (-2158.165) -- 0:06:41
638000 -- (-2178.679) (-2126.423) (-2208.657) [-2131.406] * [-2106.412] (-2119.764) (-2206.502) (-2138.224) -- 0:06:40
639000 -- (-2187.754) (-2128.974) (-2201.355) [-2122.497] * [-2110.720] (-2124.878) (-2218.614) (-2140.477) -- 0:06:38
640000 -- (-2198.038) (-2127.354) (-2190.340) [-2122.310] * [-2111.687] (-2125.380) (-2209.125) (-2150.012) -- 0:06:37
Average standard deviation of split frequencies: 0.011701
641000 -- (-2206.491) (-2127.308) (-2212.778) [-2129.617] * [-2113.038] (-2119.529) (-2224.559) (-2150.287) -- 0:06:37
642000 -- (-2193.908) (-2135.095) (-2205.471) [-2119.831] * [-2110.975] (-2121.466) (-2217.388) (-2137.218) -- 0:06:35
643000 -- (-2185.241) (-2131.223) (-2195.321) [-2113.756] * (-2130.275) [-2114.020] (-2223.106) (-2139.895) -- 0:06:34
644000 -- (-2196.787) (-2113.102) (-2209.074) [-2106.545] * (-2132.605) [-2123.404] (-2213.748) (-2139.443) -- 0:06:33
645000 -- (-2203.582) (-2116.966) (-2211.710) [-2101.503] * (-2118.912) [-2117.224] (-2215.500) (-2149.970) -- 0:06:32
Average standard deviation of split frequencies: 0.011390
646000 -- (-2201.690) (-2125.324) (-2198.421) [-2104.835] * (-2130.128) [-2132.595] (-2238.739) (-2146.456) -- 0:06:31
647000 -- (-2200.940) (-2125.828) (-2191.635) [-2108.571] * [-2119.005] (-2114.533) (-2225.828) (-2152.981) -- 0:06:30
648000 -- (-2209.807) [-2124.544] (-2205.422) (-2110.686) * (-2127.637) [-2122.051] (-2210.169) (-2133.891) -- 0:06:28
649000 -- (-2215.888) [-2120.188] (-2189.175) (-2129.063) * (-2151.142) (-2138.053) (-2222.846) [-2134.832] -- 0:06:28
650000 -- (-2218.383) (-2122.204) (-2181.534) [-2120.190] * (-2142.887) [-2129.695] (-2238.608) (-2125.676) -- 0:06:27
Average standard deviation of split frequencies: 0.011143
651000 -- (-2201.116) (-2136.885) (-2181.230) [-2121.353] * (-2134.486) [-2115.898] (-2228.353) (-2137.434) -- 0:06:25
652000 -- (-2222.348) (-2133.505) (-2186.357) [-2112.715] * (-2138.075) (-2119.415) (-2219.178) [-2118.301] -- 0:06:24
653000 -- (-2196.879) (-2126.045) (-2174.519) [-2118.265] * (-2149.902) [-2115.276] (-2224.356) (-2129.712) -- 0:06:23
654000 -- (-2181.149) [-2112.409] (-2178.464) (-2125.560) * (-2128.917) [-2130.612] (-2202.092) (-2121.117) -- 0:06:22
655000 -- (-2189.565) [-2114.824] (-2171.341) (-2117.102) * (-2130.647) (-2129.833) (-2220.296) [-2120.039] -- 0:06:21
Average standard deviation of split frequencies: 0.011068
656000 -- (-2210.737) (-2110.320) (-2199.640) [-2098.143] * (-2146.730) [-2120.933] (-2221.027) (-2126.186) -- 0:06:20
657000 -- (-2197.106) (-2120.628) (-2193.554) [-2120.435] * (-2167.313) [-2114.175] (-2218.291) (-2138.000) -- 0:06:19
658000 -- (-2206.089) (-2141.352) (-2192.704) [-2112.188] * (-2137.018) (-2115.439) (-2197.047) [-2119.612] -- 0:06:17
659000 -- (-2206.407) (-2134.692) (-2193.498) [-2116.017] * (-2161.382) [-2110.024] (-2196.843) (-2139.149) -- 0:06:16
660000 -- (-2208.427) [-2117.548] (-2198.225) (-2124.431) * (-2158.531) [-2110.219] (-2199.477) (-2127.936) -- 0:06:15
Average standard deviation of split frequencies: 0.011137
661000 -- (-2204.263) [-2104.395] (-2198.619) (-2133.164) * (-2139.558) (-2118.232) (-2211.966) [-2116.702] -- 0:06:14
662000 -- (-2189.120) (-2108.934) (-2204.843) [-2128.294] * (-2144.207) [-2107.143] (-2219.979) (-2122.957) -- 0:06:13
663000 -- (-2203.241) [-2108.076] (-2206.473) (-2137.259) * (-2140.894) [-2118.176] (-2212.275) (-2130.548) -- 0:06:12
664000 -- (-2201.291) [-2105.568] (-2191.507) (-2128.690) * (-2121.892) [-2109.565] (-2217.198) (-2131.513) -- 0:06:11
665000 -- (-2186.468) [-2100.727] (-2191.070) (-2136.009) * [-2134.812] (-2125.728) (-2198.960) (-2130.312) -- 0:06:10
Average standard deviation of split frequencies: 0.010959
666000 -- (-2175.890) [-2107.235] (-2200.236) (-2119.972) * (-2118.710) [-2118.068] (-2204.275) (-2130.542) -- 0:06:09
667000 -- (-2184.938) [-2100.278] (-2195.968) (-2121.035) * (-2120.493) [-2117.501] (-2230.097) (-2132.015) -- 0:06:07
668000 -- (-2199.942) [-2106.109] (-2191.649) (-2123.158) * (-2133.242) [-2109.981] (-2231.827) (-2140.785) -- 0:06:06
669000 -- (-2189.539) [-2114.101] (-2185.879) (-2123.993) * (-2133.768) [-2113.486] (-2231.664) (-2124.934) -- 0:06:05
670000 -- (-2205.921) (-2126.386) (-2202.113) [-2126.585] * (-2131.615) [-2102.421] (-2226.357) (-2126.657) -- 0:06:04
Average standard deviation of split frequencies: 0.010945
671000 -- (-2189.816) (-2131.673) (-2184.820) [-2125.792] * (-2132.453) [-2112.984] (-2226.471) (-2132.542) -- 0:06:03
672000 -- (-2199.763) (-2135.457) (-2173.514) [-2121.413] * [-2114.409] (-2137.308) (-2250.590) (-2141.885) -- 0:06:02
673000 -- (-2207.577) (-2131.848) (-2195.560) [-2110.954] * [-2112.781] (-2140.274) (-2245.609) (-2133.056) -- 0:06:01
674000 -- (-2191.120) (-2121.236) (-2187.581) [-2128.090] * (-2112.045) (-2141.356) (-2240.686) [-2135.216] -- 0:06:00
675000 -- (-2184.954) (-2118.433) (-2191.478) [-2126.947] * [-2110.778] (-2111.666) (-2225.367) (-2132.472) -- 0:05:59
Average standard deviation of split frequencies: 0.010923
676000 -- (-2188.032) [-2111.841] (-2190.938) (-2119.478) * (-2120.647) [-2118.591] (-2218.650) (-2147.866) -- 0:05:58
677000 -- (-2190.600) [-2102.773] (-2195.260) (-2125.222) * (-2133.232) [-2111.181] (-2198.161) (-2146.601) -- 0:05:56
678000 -- (-2182.877) [-2114.355] (-2209.938) (-2116.371) * [-2112.246] (-2119.514) (-2197.179) (-2143.221) -- 0:05:56
679000 -- (-2198.612) [-2127.156] (-2196.357) (-2123.981) * [-2119.199] (-2119.968) (-2205.505) (-2134.885) -- 0:05:55
680000 -- (-2193.137) [-2120.494] (-2196.839) (-2136.824) * [-2117.073] (-2132.411) (-2203.646) (-2123.833) -- 0:05:53
Average standard deviation of split frequencies: 0.011073
681000 -- (-2205.269) [-2109.951] (-2189.671) (-2129.237) * (-2120.075) (-2137.260) (-2218.369) [-2132.701] -- 0:05:52
682000 -- (-2200.820) [-2114.567] (-2192.661) (-2124.979) * (-2122.176) (-2130.929) (-2216.050) [-2135.281] -- 0:05:51
683000 -- (-2195.253) [-2129.036] (-2189.735) (-2130.341) * (-2119.356) [-2114.161] (-2207.124) (-2133.045) -- 0:05:50
684000 -- (-2200.871) [-2121.800] (-2191.223) (-2133.221) * [-2119.312] (-2130.746) (-2198.449) (-2123.338) -- 0:05:49
685000 -- (-2185.421) [-2121.352] (-2213.246) (-2148.068) * [-2106.852] (-2119.407) (-2196.331) (-2135.692) -- 0:05:48
Average standard deviation of split frequencies: 0.011078
686000 -- (-2202.233) [-2110.769] (-2200.226) (-2131.490) * [-2118.125] (-2112.345) (-2199.900) (-2164.122) -- 0:05:47
687000 -- (-2199.817) [-2114.784] (-2209.705) (-2134.516) * (-2130.189) [-2109.591] (-2237.232) (-2160.679) -- 0:05:46
688000 -- (-2192.401) [-2102.423] (-2186.120) (-2130.685) * [-2122.351] (-2131.111) (-2232.330) (-2149.164) -- 0:05:45
689000 -- (-2198.763) (-2119.034) (-2186.425) [-2131.476] * (-2120.008) [-2123.369] (-2209.969) (-2142.763) -- 0:05:43
690000 -- (-2193.830) [-2114.969] (-2185.849) (-2130.175) * (-2123.378) [-2121.619] (-2213.341) (-2168.641) -- 0:05:42
Average standard deviation of split frequencies: 0.010823
691000 -- (-2215.747) [-2113.552] (-2186.797) (-2135.055) * [-2127.426] (-2125.364) (-2226.767) (-2137.660) -- 0:05:41
692000 -- (-2201.182) [-2111.676] (-2184.078) (-2127.063) * [-2107.587] (-2147.751) (-2219.132) (-2142.834) -- 0:05:40
693000 -- (-2190.595) [-2113.889] (-2205.940) (-2135.360) * (-2120.976) (-2147.081) (-2227.593) [-2126.261] -- 0:05:39
694000 -- (-2186.852) [-2112.670] (-2206.399) (-2127.789) * (-2130.943) (-2143.947) (-2242.827) [-2123.461] -- 0:05:38
695000 -- (-2185.351) [-2124.317] (-2206.917) (-2121.095) * (-2124.853) [-2133.067] (-2221.136) (-2138.661) -- 0:05:37
Average standard deviation of split frequencies: 0.010338
696000 -- (-2183.858) [-2109.762] (-2191.961) (-2117.672) * (-2129.360) [-2124.210] (-2207.307) (-2121.744) -- 0:05:36
697000 -- (-2193.364) (-2115.824) (-2208.811) [-2122.792] * (-2138.553) (-2114.143) (-2220.406) [-2112.629] -- 0:05:35
698000 -- (-2193.620) [-2128.147] (-2216.693) (-2140.329) * (-2122.219) (-2108.237) (-2221.604) [-2104.524] -- 0:05:34
699000 -- (-2194.447) (-2131.932) (-2196.203) [-2112.824] * [-2125.916] (-2123.959) (-2233.306) (-2137.178) -- 0:05:32
700000 -- (-2204.102) (-2128.264) (-2200.987) [-2109.926] * (-2104.498) [-2117.888] (-2247.182) (-2138.315) -- 0:05:31
Average standard deviation of split frequencies: 0.010047
701000 -- (-2201.864) (-2120.951) (-2201.529) [-2108.486] * (-2123.280) [-2118.865] (-2239.354) (-2128.821) -- 0:05:30
702000 -- (-2188.053) (-2131.954) (-2192.522) [-2114.419] * (-2125.933) [-2108.186] (-2220.436) (-2130.526) -- 0:05:29
703000 -- (-2183.562) (-2131.934) (-2200.412) [-2109.806] * (-2108.198) [-2115.012] (-2226.056) (-2121.597) -- 0:05:28
704000 -- (-2188.133) (-2159.363) (-2204.632) [-2114.923] * (-2130.629) [-2113.545] (-2225.919) (-2121.866) -- 0:05:27
705000 -- (-2188.143) (-2149.982) (-2182.552) [-2121.064] * (-2129.075) [-2108.460] (-2211.992) (-2120.214) -- 0:05:26
Average standard deviation of split frequencies: 0.010175
706000 -- (-2196.037) (-2133.113) (-2188.878) [-2112.536] * (-2137.020) (-2117.713) (-2204.688) [-2121.486] -- 0:05:25
707000 -- (-2201.230) (-2138.409) (-2194.142) [-2121.309] * (-2160.860) (-2132.382) (-2204.060) [-2112.859] -- 0:05:24
708000 -- (-2202.357) (-2117.059) (-2198.295) [-2119.341] * (-2140.147) (-2129.192) (-2198.578) [-2124.182] -- 0:05:22
709000 -- (-2198.600) (-2125.516) (-2211.644) [-2119.294] * (-2143.344) (-2136.579) (-2196.152) [-2138.483] -- 0:05:21
710000 -- (-2188.804) (-2147.729) (-2209.751) [-2108.499] * (-2160.318) [-2115.619] (-2203.894) (-2132.090) -- 0:05:20
Average standard deviation of split frequencies: 0.010183
711000 -- (-2194.141) (-2141.950) (-2209.327) [-2098.853] * (-2134.581) (-2129.133) (-2196.998) [-2136.276] -- 0:05:19
712000 -- (-2205.476) (-2130.049) (-2203.500) [-2116.036] * (-2141.057) (-2137.216) (-2207.110) [-2122.539] -- 0:05:18
713000 -- (-2205.271) (-2127.835) (-2199.957) [-2106.352] * [-2124.434] (-2116.134) (-2205.545) (-2147.965) -- 0:05:17
714000 -- (-2198.262) [-2122.602] (-2199.651) (-2109.513) * (-2141.945) [-2119.904] (-2218.154) (-2138.566) -- 0:05:16
715000 -- (-2204.632) (-2123.073) (-2199.057) [-2114.500] * (-2115.357) [-2110.076] (-2201.929) (-2145.384) -- 0:05:15
Average standard deviation of split frequencies: 0.010234
716000 -- (-2201.223) [-2122.642] (-2180.988) (-2123.818) * (-2120.581) [-2110.611] (-2200.289) (-2136.950) -- 0:05:14
717000 -- (-2209.242) [-2115.397] (-2198.622) (-2129.771) * (-2131.682) [-2109.935] (-2204.955) (-2131.199) -- 0:05:12
718000 -- (-2200.848) (-2132.241) (-2200.294) [-2116.398] * (-2155.304) [-2112.523] (-2218.704) (-2118.027) -- 0:05:11
719000 -- (-2207.273) [-2124.439] (-2195.979) (-2119.036) * (-2136.460) (-2154.693) (-2217.466) [-2127.088] -- 0:05:10
720000 -- (-2192.116) (-2131.760) (-2195.014) [-2114.766] * [-2120.768] (-2124.650) (-2222.480) (-2132.708) -- 0:05:09
Average standard deviation of split frequencies: 0.010277
721000 -- (-2204.988) (-2136.701) (-2180.621) [-2106.358] * [-2116.482] (-2131.915) (-2219.366) (-2115.231) -- 0:05:08
722000 -- (-2209.852) [-2143.233] (-2196.663) (-2118.115) * (-2133.392) (-2132.252) (-2203.540) [-2109.222] -- 0:05:07
723000 -- (-2225.558) (-2129.458) (-2207.895) [-2114.438] * (-2146.240) (-2139.906) (-2215.559) [-2118.620] -- 0:05:06
724000 -- (-2205.625) [-2115.939] (-2207.464) (-2126.741) * (-2143.599) (-2129.706) (-2212.723) [-2114.470] -- 0:05:05
725000 -- (-2205.990) [-2124.657] (-2198.721) (-2135.982) * (-2162.602) (-2140.126) (-2210.406) [-2116.532] -- 0:05:04
Average standard deviation of split frequencies: 0.009861
726000 -- (-2193.005) [-2119.350] (-2192.077) (-2127.003) * (-2146.550) (-2136.553) (-2224.347) [-2113.471] -- 0:05:03
727000 -- (-2189.724) [-2117.606] (-2194.028) (-2140.839) * (-2141.571) [-2114.003] (-2229.974) (-2121.322) -- 0:05:01
728000 -- (-2195.255) [-2121.627] (-2194.544) (-2125.752) * (-2146.243) [-2117.937] (-2222.959) (-2121.700) -- 0:05:00
729000 -- (-2187.677) [-2104.888] (-2195.371) (-2122.701) * (-2133.418) [-2124.752] (-2226.516) (-2120.097) -- 0:04:59
730000 -- (-2191.246) [-2099.091] (-2196.153) (-2116.972) * (-2151.513) [-2133.109] (-2217.754) (-2129.968) -- 0:04:58
Average standard deviation of split frequencies: 0.009620
731000 -- (-2202.844) [-2101.364] (-2193.353) (-2112.117) * (-2142.193) (-2130.590) (-2221.777) [-2114.543] -- 0:04:57
732000 -- (-2200.873) (-2127.064) (-2197.222) [-2109.319] * (-2139.252) (-2137.090) (-2212.728) [-2111.513] -- 0:04:56
733000 -- (-2185.090) (-2126.432) (-2194.159) [-2109.091] * [-2118.726] (-2123.353) (-2231.378) (-2136.313) -- 0:04:55
734000 -- (-2192.299) (-2121.437) (-2198.057) [-2119.796] * [-2109.183] (-2128.204) (-2222.457) (-2122.345) -- 0:04:54
735000 -- (-2209.926) (-2151.754) (-2176.003) [-2116.850] * [-2095.998] (-2138.113) (-2216.305) (-2137.335) -- 0:04:53
Average standard deviation of split frequencies: 0.009778
736000 -- (-2190.498) [-2131.995] (-2179.694) (-2123.116) * [-2098.104] (-2136.529) (-2222.847) (-2133.725) -- 0:04:51
737000 -- (-2201.386) [-2130.428] (-2189.949) (-2119.537) * [-2108.004] (-2168.358) (-2207.109) (-2119.315) -- 0:04:50
738000 -- (-2189.641) (-2117.631) (-2199.746) [-2117.877] * [-2105.744] (-2155.999) (-2199.615) (-2124.871) -- 0:04:49
739000 -- (-2191.020) [-2114.106] (-2201.492) (-2127.297) * [-2113.033] (-2132.562) (-2227.217) (-2149.538) -- 0:04:48
740000 -- (-2177.560) [-2116.164] (-2180.888) (-2111.555) * (-2120.722) (-2166.925) (-2224.200) [-2133.657] -- 0:04:47
Average standard deviation of split frequencies: 0.009582
741000 -- (-2204.301) (-2117.327) (-2191.330) [-2107.143] * (-2125.770) [-2138.256] (-2225.624) (-2127.883) -- 0:04:46
742000 -- (-2214.597) (-2119.855) (-2201.558) [-2109.382] * [-2117.914] (-2136.255) (-2238.211) (-2150.824) -- 0:04:45
743000 -- (-2202.197) (-2123.387) (-2190.734) [-2115.192] * (-2116.335) [-2138.683] (-2230.264) (-2135.217) -- 0:04:44
744000 -- (-2204.053) (-2131.227) (-2200.023) [-2109.264] * [-2105.198] (-2124.851) (-2205.459) (-2138.173) -- 0:04:43
745000 -- (-2195.547) (-2117.055) (-2199.947) [-2107.614] * [-2111.401] (-2130.991) (-2215.949) (-2140.628) -- 0:04:42
Average standard deviation of split frequencies: 0.009542
746000 -- (-2192.463) (-2119.242) (-2186.141) [-2100.189] * [-2110.783] (-2122.149) (-2214.008) (-2149.499) -- 0:04:40
747000 -- (-2198.798) (-2122.439) (-2193.446) [-2092.727] * [-2129.842] (-2120.164) (-2209.370) (-2144.808) -- 0:04:39
748000 -- (-2183.158) (-2135.796) (-2206.881) [-2103.516] * (-2144.224) [-2126.875] (-2205.659) (-2135.699) -- 0:04:38
749000 -- (-2199.757) (-2116.509) (-2214.652) [-2119.618] * (-2117.778) [-2115.476] (-2220.122) (-2143.488) -- 0:04:37
750000 -- (-2200.857) [-2118.011] (-2199.442) (-2115.777) * [-2120.684] (-2102.604) (-2230.778) (-2147.327) -- 0:04:36
Average standard deviation of split frequencies: 0.009580
751000 -- (-2195.270) (-2142.577) (-2193.791) [-2114.012] * (-2123.692) [-2096.254] (-2236.525) (-2166.238) -- 0:04:35
752000 -- (-2181.750) (-2130.704) (-2204.641) [-2108.434] * (-2124.640) [-2104.632] (-2216.915) (-2147.482) -- 0:04:34
753000 -- (-2206.261) (-2133.465) (-2192.180) [-2104.576] * (-2127.147) [-2117.702] (-2237.681) (-2130.281) -- 0:04:33
754000 -- (-2196.050) (-2140.436) (-2198.786) [-2116.194] * [-2103.590] (-2125.499) (-2212.324) (-2147.923) -- 0:04:32
755000 -- (-2203.490) (-2152.031) (-2222.978) [-2110.518] * [-2093.991] (-2108.280) (-2211.003) (-2144.371) -- 0:04:30
Average standard deviation of split frequencies: 0.009450
756000 -- (-2199.606) (-2134.121) (-2216.460) [-2129.923] * [-2106.379] (-2119.590) (-2217.321) (-2134.384) -- 0:04:29
757000 -- (-2191.632) (-2132.837) (-2212.180) [-2115.882] * (-2117.833) [-2118.547] (-2211.176) (-2134.709) -- 0:04:29
758000 -- (-2206.554) [-2122.944] (-2201.306) (-2114.009) * [-2116.181] (-2118.686) (-2230.677) (-2134.490) -- 0:04:27
759000 -- (-2208.222) [-2121.685] (-2196.112) (-2126.870) * (-2128.904) [-2108.150] (-2228.085) (-2150.749) -- 0:04:26
760000 -- (-2221.461) [-2127.557] (-2182.653) (-2130.272) * (-2124.339) [-2127.378] (-2218.324) (-2134.575) -- 0:04:25
Average standard deviation of split frequencies: 0.009289
761000 -- (-2219.405) [-2127.419] (-2184.427) (-2133.075) * (-2125.521) [-2112.367] (-2222.831) (-2144.388) -- 0:04:24
762000 -- (-2200.294) [-2109.575] (-2193.366) (-2145.404) * (-2127.201) [-2122.797] (-2207.971) (-2148.349) -- 0:04:23
763000 -- (-2193.675) [-2112.447] (-2182.340) (-2117.976) * [-2132.423] (-2127.278) (-2208.176) (-2151.875) -- 0:04:22
764000 -- (-2183.377) [-2111.062] (-2185.193) (-2124.812) * (-2138.042) [-2114.777] (-2223.299) (-2154.441) -- 0:04:21
765000 -- (-2187.537) [-2108.473] (-2184.110) (-2131.431) * (-2121.220) [-2112.499] (-2220.334) (-2157.613) -- 0:04:20
Average standard deviation of split frequencies: 0.009341
766000 -- (-2189.515) [-2101.769] (-2184.273) (-2130.759) * (-2132.740) [-2111.293] (-2218.533) (-2147.041) -- 0:04:19
767000 -- (-2193.962) [-2108.541] (-2188.794) (-2120.781) * (-2159.447) [-2109.038] (-2206.047) (-2145.410) -- 0:04:17
768000 -- (-2199.291) [-2121.582] (-2194.798) (-2135.262) * (-2135.448) [-2118.199] (-2207.414) (-2159.513) -- 0:04:16
769000 -- (-2200.788) [-2110.008] (-2179.764) (-2134.729) * (-2122.560) [-2114.251] (-2203.829) (-2143.230) -- 0:04:15
770000 -- (-2210.093) (-2118.545) (-2180.708) [-2130.073] * (-2149.951) [-2125.810] (-2214.955) (-2128.471) -- 0:04:14
Average standard deviation of split frequencies: 0.009168
771000 -- (-2199.989) [-2106.109] (-2188.958) (-2126.524) * (-2129.240) (-2126.530) (-2206.479) [-2123.449] -- 0:04:13
772000 -- (-2217.848) (-2123.731) (-2187.606) [-2129.489] * (-2143.388) [-2123.923] (-2211.100) (-2141.044) -- 0:04:12
773000 -- (-2199.352) (-2128.259) (-2180.161) [-2130.223] * (-2143.113) [-2122.635] (-2212.142) (-2128.738) -- 0:04:11
774000 -- (-2207.626) [-2129.432] (-2185.062) (-2132.037) * (-2142.649) [-2133.381] (-2218.555) (-2116.121) -- 0:04:10
775000 -- (-2199.489) [-2130.194] (-2178.636) (-2124.385) * (-2147.683) [-2116.656] (-2205.993) (-2121.076) -- 0:04:09
Average standard deviation of split frequencies: 0.009126
776000 -- (-2209.848) (-2129.113) (-2194.211) [-2122.555] * (-2160.863) (-2121.744) (-2205.744) [-2116.003] -- 0:04:07
777000 -- (-2199.182) [-2114.680] (-2198.455) (-2121.867) * (-2160.297) [-2116.686] (-2219.152) (-2128.806) -- 0:04:06
778000 -- (-2199.200) [-2122.462] (-2188.342) (-2119.919) * (-2146.063) [-2122.816] (-2214.420) (-2131.725) -- 0:04:05
779000 -- (-2199.445) (-2114.796) (-2204.619) [-2130.975] * (-2152.252) (-2120.970) (-2200.450) [-2119.958] -- 0:04:04
780000 -- (-2186.715) [-2102.701] (-2193.109) (-2142.590) * (-2136.360) (-2133.323) (-2221.405) [-2125.192] -- 0:04:03
Average standard deviation of split frequencies: 0.008870
781000 -- (-2199.434) (-2121.626) (-2213.314) [-2130.117] * (-2121.689) (-2138.879) (-2222.037) [-2121.468] -- 0:04:02
782000 -- (-2186.221) [-2106.566] (-2202.022) (-2131.790) * (-2137.969) (-2138.738) (-2202.055) [-2104.837] -- 0:04:01
783000 -- (-2175.107) [-2103.126] (-2194.160) (-2128.106) * (-2105.071) [-2117.479] (-2199.776) (-2135.109) -- 0:04:00
784000 -- (-2179.447) [-2117.395] (-2178.291) (-2131.089) * (-2122.061) (-2135.051) (-2209.918) [-2106.816] -- 0:03:59
785000 -- (-2185.862) [-2115.675] (-2169.970) (-2132.052) * (-2139.849) [-2108.051] (-2204.566) (-2112.434) -- 0:03:58
Average standard deviation of split frequencies: 0.008863
786000 -- (-2205.826) [-2109.251] (-2194.307) (-2127.143) * (-2130.505) [-2117.565] (-2203.586) (-2126.952) -- 0:03:56
787000 -- (-2229.724) (-2119.567) (-2205.667) [-2110.344] * (-2141.447) (-2114.854) (-2209.917) [-2112.371] -- 0:03:55
788000 -- (-2218.583) (-2135.343) (-2205.853) [-2115.751] * (-2152.090) (-2112.160) (-2213.847) [-2111.239] -- 0:03:54
789000 -- (-2219.610) [-2126.996] (-2214.899) (-2110.263) * (-2153.820) (-2116.106) (-2215.236) [-2120.830] -- 0:03:53
790000 -- (-2212.476) (-2110.630) (-2215.721) [-2119.006] * (-2149.115) [-2109.113] (-2229.092) (-2115.013) -- 0:03:52
Average standard deviation of split frequencies: 0.008592
791000 -- (-2211.727) [-2117.199] (-2220.338) (-2130.515) * (-2133.750) [-2104.234] (-2242.153) (-2131.182) -- 0:03:51
792000 -- (-2234.783) (-2130.698) (-2193.828) [-2115.982] * (-2143.441) [-2103.568] (-2227.464) (-2140.949) -- 0:03:50
793000 -- (-2236.685) (-2129.660) (-2191.590) [-2117.966] * (-2157.872) [-2109.180] (-2243.012) (-2122.383) -- 0:03:49
794000 -- (-2223.595) (-2144.632) (-2189.935) [-2118.727] * (-2156.618) [-2116.993] (-2225.085) (-2129.304) -- 0:03:48
795000 -- (-2225.359) [-2118.495] (-2198.923) (-2128.114) * (-2163.138) (-2120.629) (-2221.476) [-2127.657] -- 0:03:46
Average standard deviation of split frequencies: 0.008462
796000 -- (-2194.661) (-2129.176) (-2196.006) [-2119.703] * (-2158.780) (-2116.444) (-2206.841) [-2132.466] -- 0:03:45
797000 -- (-2204.585) [-2120.940] (-2209.945) (-2127.945) * (-2144.564) [-2133.410] (-2231.703) (-2148.853) -- 0:03:44
798000 -- (-2196.815) (-2129.543) (-2190.193) [-2115.633] * [-2123.785] (-2128.490) (-2209.124) (-2159.916) -- 0:03:43
799000 -- (-2214.995) (-2134.404) (-2205.972) [-2114.804] * (-2134.975) [-2125.484] (-2215.791) (-2151.344) -- 0:03:42
800000 -- (-2213.723) (-2124.148) (-2188.597) [-2126.072] * (-2130.028) [-2111.460] (-2212.605) (-2126.176) -- 0:03:41
Average standard deviation of split frequencies: 0.008563
801000 -- (-2220.373) (-2137.435) (-2191.629) [-2126.267] * (-2115.501) [-2114.262] (-2216.802) (-2136.319) -- 0:03:40
802000 -- (-2216.734) (-2125.528) (-2192.304) [-2123.745] * (-2131.844) [-2124.848] (-2238.153) (-2140.003) -- 0:03:38
803000 -- (-2211.381) (-2131.220) (-2188.141) [-2118.389] * (-2129.039) [-2118.899] (-2219.426) (-2123.006) -- 0:03:38
804000 -- (-2220.748) (-2121.288) (-2204.400) [-2118.484] * (-2127.343) [-2116.352] (-2231.220) (-2128.977) -- 0:03:36
805000 -- (-2192.864) (-2130.501) (-2209.073) [-2110.509] * (-2141.676) (-2116.591) (-2245.728) [-2124.676] -- 0:03:35
Average standard deviation of split frequencies: 0.008669
806000 -- (-2193.820) (-2130.889) (-2181.966) [-2117.208] * (-2136.343) [-2101.742] (-2239.997) (-2128.578) -- 0:03:34
807000 -- (-2183.516) (-2134.911) (-2211.085) [-2117.955] * (-2147.503) (-2119.344) (-2238.240) [-2106.556] -- 0:03:33
808000 -- (-2171.441) (-2129.719) (-2190.745) [-2114.998] * (-2123.982) (-2130.314) (-2233.125) [-2109.093] -- 0:03:32
809000 -- (-2185.959) (-2138.158) (-2191.741) [-2112.876] * (-2118.005) (-2135.989) (-2225.662) [-2112.519] -- 0:03:31
810000 -- (-2202.858) [-2122.371] (-2179.696) (-2119.932) * [-2131.856] (-2140.724) (-2221.276) (-2117.585) -- 0:03:30
Average standard deviation of split frequencies: 0.008812
811000 -- (-2194.355) [-2120.988] (-2197.737) (-2132.506) * (-2120.523) (-2151.616) (-2213.189) [-2122.768] -- 0:03:29
812000 -- (-2191.629) [-2118.203] (-2205.909) (-2143.277) * [-2121.885] (-2135.510) (-2221.916) (-2126.405) -- 0:03:28
813000 -- (-2191.108) [-2123.228] (-2192.207) (-2134.597) * (-2138.614) (-2131.107) (-2199.432) [-2116.445] -- 0:03:27
814000 -- (-2198.665) (-2122.924) (-2199.543) [-2104.104] * (-2152.979) (-2133.544) (-2211.026) [-2108.174] -- 0:03:25
815000 -- (-2203.613) (-2108.293) (-2204.062) [-2104.642] * (-2125.241) (-2140.524) (-2212.293) [-2105.777] -- 0:03:24
Average standard deviation of split frequencies: 0.008824
816000 -- (-2179.648) (-2121.316) (-2202.068) [-2111.180] * (-2116.130) (-2135.218) (-2211.406) [-2104.239] -- 0:03:23
817000 -- (-2201.735) (-2122.047) (-2189.287) [-2114.640] * (-2126.090) (-2142.004) (-2219.016) [-2111.939] -- 0:03:22
818000 -- (-2200.515) [-2115.931] (-2187.253) (-2116.480) * [-2121.995] (-2142.276) (-2207.156) (-2123.358) -- 0:03:21
819000 -- (-2200.986) (-2129.141) (-2192.367) [-2096.635] * [-2122.992] (-2140.151) (-2216.279) (-2128.583) -- 0:03:20
820000 -- (-2195.604) [-2116.656] (-2195.074) (-2107.682) * (-2128.516) (-2122.421) (-2216.690) [-2124.816] -- 0:03:19
Average standard deviation of split frequencies: 0.008932
821000 -- (-2198.450) (-2118.129) (-2200.753) [-2112.563] * (-2129.316) (-2127.456) (-2200.021) [-2121.129] -- 0:03:18
822000 -- (-2188.293) (-2134.281) (-2208.304) [-2122.997] * [-2121.481] (-2136.392) (-2209.735) (-2132.108) -- 0:03:17
823000 -- (-2206.666) (-2145.272) (-2190.339) [-2112.103] * [-2114.933] (-2125.799) (-2207.936) (-2142.487) -- 0:03:15
824000 -- (-2200.796) (-2150.749) (-2191.038) [-2116.187] * (-2113.514) [-2125.081] (-2206.078) (-2161.276) -- 0:03:14
825000 -- (-2206.212) (-2137.414) (-2193.102) [-2123.739] * [-2132.435] (-2128.089) (-2214.222) (-2153.453) -- 0:03:13
Average standard deviation of split frequencies: 0.009081
826000 -- (-2203.844) (-2143.651) (-2195.211) [-2114.719] * [-2134.474] (-2149.551) (-2214.260) (-2140.427) -- 0:03:12
827000 -- (-2216.827) (-2126.609) (-2196.881) [-2112.164] * [-2119.233] (-2158.469) (-2219.221) (-2128.402) -- 0:03:11
828000 -- (-2201.325) (-2134.113) (-2207.435) [-2102.823] * (-2127.325) (-2156.910) (-2205.558) [-2134.474] -- 0:03:10
829000 -- (-2190.569) (-2135.286) (-2196.168) [-2108.002] * (-2111.102) (-2142.572) (-2218.472) [-2133.337] -- 0:03:09
830000 -- (-2197.158) (-2145.756) (-2199.136) [-2111.077] * [-2114.588] (-2131.601) (-2206.955) (-2133.389) -- 0:03:08
Average standard deviation of split frequencies: 0.009043
831000 -- (-2207.048) (-2121.046) (-2200.557) [-2106.782] * [-2116.266] (-2133.793) (-2196.348) (-2150.811) -- 0:03:07
832000 -- (-2205.667) (-2111.475) (-2191.847) [-2109.989] * [-2106.712] (-2134.319) (-2202.264) (-2167.977) -- 0:03:06
833000 -- (-2205.750) [-2115.517] (-2200.296) (-2110.034) * (-2124.319) [-2119.718] (-2211.951) (-2181.582) -- 0:03:05
834000 -- (-2206.432) (-2128.667) (-2181.697) [-2113.890] * [-2107.722] (-2131.905) (-2213.214) (-2165.199) -- 0:03:03
835000 -- (-2202.387) (-2120.078) (-2182.462) [-2126.965] * [-2108.333] (-2117.830) (-2196.306) (-2153.653) -- 0:03:02
Average standard deviation of split frequencies: 0.009090
836000 -- (-2198.727) (-2123.125) (-2189.927) [-2112.685] * [-2118.638] (-2148.545) (-2224.446) (-2165.095) -- 0:03:01
837000 -- (-2212.888) (-2110.232) (-2200.253) [-2117.963] * [-2114.205] (-2124.208) (-2235.207) (-2152.908) -- 0:03:00
838000 -- (-2190.603) [-2112.291] (-2218.181) (-2124.473) * [-2106.539] (-2111.456) (-2224.481) (-2141.676) -- 0:02:59
839000 -- (-2177.589) [-2112.237] (-2208.953) (-2110.000) * (-2109.004) [-2112.469] (-2214.499) (-2157.568) -- 0:02:58
840000 -- (-2178.558) (-2114.166) (-2209.138) [-2109.795] * (-2116.861) [-2116.688] (-2217.011) (-2137.230) -- 0:02:57
Average standard deviation of split frequencies: 0.009268
841000 -- (-2173.714) (-2127.636) (-2198.867) [-2107.231] * (-2132.933) [-2112.296] (-2220.724) (-2143.458) -- 0:02:56
842000 -- (-2195.040) (-2108.000) (-2196.194) [-2100.527] * [-2115.519] (-2129.415) (-2217.628) (-2150.085) -- 0:02:55
843000 -- (-2195.976) [-2120.473] (-2198.972) (-2119.570) * [-2102.744] (-2123.448) (-2214.669) (-2144.534) -- 0:02:53
844000 -- (-2194.618) [-2116.075] (-2200.035) (-2124.401) * [-2106.479] (-2115.697) (-2208.220) (-2138.666) -- 0:02:52
845000 -- (-2206.348) (-2125.313) (-2208.146) [-2123.393] * (-2115.318) [-2121.950] (-2234.053) (-2128.714) -- 0:02:51
Average standard deviation of split frequencies: 0.009026
846000 -- (-2213.632) [-2120.925] (-2189.500) (-2109.796) * [-2124.469] (-2124.165) (-2226.197) (-2130.086) -- 0:02:50
847000 -- (-2206.172) (-2122.898) (-2171.934) [-2113.534] * (-2124.576) [-2118.295] (-2224.615) (-2130.683) -- 0:02:49
848000 -- (-2214.294) [-2116.095] (-2184.662) (-2121.829) * [-2120.143] (-2126.904) (-2242.193) (-2138.863) -- 0:02:48
849000 -- (-2202.021) [-2124.341] (-2181.401) (-2118.211) * [-2129.066] (-2116.292) (-2253.948) (-2148.123) -- 0:02:47
850000 -- (-2193.492) (-2140.864) (-2186.515) [-2116.983] * (-2145.264) [-2109.103] (-2235.826) (-2126.594) -- 0:02:46
Average standard deviation of split frequencies: 0.008854
851000 -- (-2190.223) [-2114.259] (-2188.321) (-2130.689) * (-2122.397) [-2110.851] (-2207.858) (-2139.683) -- 0:02:45
852000 -- (-2197.188) [-2110.196] (-2205.237) (-2119.527) * [-2128.019] (-2118.164) (-2201.609) (-2154.629) -- 0:02:43
853000 -- (-2191.926) [-2128.003] (-2208.110) (-2134.598) * (-2159.008) [-2130.145] (-2211.081) (-2117.566) -- 0:02:42
854000 -- (-2183.736) [-2119.759] (-2199.161) (-2136.527) * (-2158.831) [-2122.207] (-2200.712) (-2126.943) -- 0:02:41
855000 -- (-2185.950) (-2130.562) (-2193.986) [-2121.936] * (-2139.432) (-2129.902) (-2195.074) [-2122.521] -- 0:02:40
Average standard deviation of split frequencies: 0.008830
856000 -- (-2192.082) (-2128.287) (-2214.576) [-2120.945] * (-2140.861) (-2115.767) (-2207.711) [-2112.109] -- 0:02:39
857000 -- (-2209.952) (-2122.808) (-2203.089) [-2105.261] * (-2143.921) (-2119.154) (-2192.839) [-2105.467] -- 0:02:38
858000 -- (-2201.594) (-2126.527) (-2195.542) [-2098.044] * (-2154.195) (-2123.944) (-2200.946) [-2111.588] -- 0:02:37
859000 -- (-2190.481) [-2126.388] (-2201.419) (-2098.621) * (-2136.145) (-2117.807) (-2219.903) [-2115.936] -- 0:02:36
860000 -- (-2188.466) (-2126.142) (-2201.886) [-2106.884] * (-2133.876) (-2140.123) (-2203.591) [-2125.286] -- 0:02:35
Average standard deviation of split frequencies: 0.008709
861000 -- (-2194.816) [-2134.359] (-2200.770) (-2110.891) * (-2131.200) (-2137.582) (-2206.845) [-2114.263] -- 0:02:34
862000 -- (-2206.518) (-2150.196) (-2203.071) [-2111.545] * (-2141.250) (-2125.657) (-2214.423) [-2107.347] -- 0:02:32
863000 -- (-2192.315) [-2122.592] (-2207.296) (-2113.406) * (-2130.924) (-2151.035) (-2210.392) [-2110.610] -- 0:02:31
864000 -- (-2208.977) (-2132.945) (-2219.967) [-2118.714] * (-2128.664) (-2157.117) (-2222.250) [-2110.586] -- 0:02:30
865000 -- (-2174.044) [-2112.442] (-2201.530) (-2117.688) * (-2118.358) (-2143.177) (-2214.939) [-2110.735] -- 0:02:29
Average standard deviation of split frequencies: 0.008722
866000 -- (-2195.869) (-2121.850) (-2203.603) [-2115.659] * [-2104.963] (-2142.042) (-2224.735) (-2117.928) -- 0:02:28
867000 -- (-2173.694) (-2122.162) (-2191.949) [-2108.455] * (-2108.053) (-2146.701) (-2232.881) [-2110.504] -- 0:02:27
868000 -- (-2197.513) (-2108.837) (-2196.161) [-2112.586] * [-2105.815] (-2130.527) (-2238.162) (-2129.340) -- 0:02:26
869000 -- (-2201.363) [-2111.606] (-2211.990) (-2130.641) * (-2121.476) (-2143.396) (-2228.611) [-2132.963] -- 0:02:25
870000 -- (-2210.088) [-2111.134] (-2195.673) (-2118.296) * (-2128.640) [-2131.582] (-2213.403) (-2126.768) -- 0:02:24
Average standard deviation of split frequencies: 0.008741
871000 -- (-2193.787) [-2116.070] (-2204.850) (-2123.651) * (-2114.839) [-2112.527] (-2224.194) (-2138.370) -- 0:02:22
872000 -- (-2182.872) [-2118.785] (-2207.465) (-2127.114) * [-2107.328] (-2124.175) (-2221.607) (-2144.874) -- 0:02:21
873000 -- (-2208.823) [-2119.944] (-2205.990) (-2137.307) * [-2114.626] (-2122.711) (-2221.021) (-2148.486) -- 0:02:20
874000 -- (-2202.817) [-2103.954] (-2214.919) (-2142.008) * (-2117.697) [-2133.334] (-2212.504) (-2159.338) -- 0:02:19
875000 -- (-2183.412) [-2107.964] (-2216.617) (-2137.871) * (-2124.545) [-2130.967] (-2238.107) (-2147.618) -- 0:02:18
Average standard deviation of split frequencies: 0.008909
876000 -- (-2181.287) [-2118.212] (-2196.505) (-2148.151) * [-2126.353] (-2125.743) (-2233.267) (-2133.571) -- 0:02:17
877000 -- (-2196.720) [-2110.823] (-2186.106) (-2139.787) * (-2127.904) [-2125.471] (-2229.222) (-2143.251) -- 0:02:16
878000 -- (-2206.175) (-2126.126) (-2188.723) [-2118.767] * (-2127.374) [-2130.001] (-2210.537) (-2143.635) -- 0:02:15
879000 -- (-2188.011) (-2119.538) (-2187.878) [-2115.954] * (-2140.208) (-2125.515) (-2225.538) [-2117.088] -- 0:02:14
880000 -- (-2199.223) [-2096.578] (-2188.490) (-2133.164) * (-2119.335) (-2141.468) (-2215.948) [-2109.078] -- 0:02:13
Average standard deviation of split frequencies: 0.008945
881000 -- (-2201.127) [-2108.999] (-2205.842) (-2131.699) * (-2122.466) (-2137.712) (-2223.522) [-2105.447] -- 0:02:11
882000 -- (-2181.972) [-2108.237] (-2207.390) (-2139.652) * (-2129.937) (-2129.200) (-2219.339) [-2104.859] -- 0:02:10
883000 -- (-2180.452) [-2103.638] (-2198.750) (-2125.159) * (-2128.202) (-2117.603) (-2247.840) [-2114.627] -- 0:02:09
884000 -- (-2185.911) [-2100.906] (-2201.616) (-2133.958) * (-2137.396) [-2129.727] (-2232.700) (-2127.697) -- 0:02:08
885000 -- (-2192.104) [-2103.701] (-2202.238) (-2120.889) * (-2135.569) (-2154.689) (-2230.534) [-2110.651] -- 0:02:07
Average standard deviation of split frequencies: 0.008744
886000 -- (-2195.453) [-2114.484] (-2220.462) (-2136.894) * (-2149.212) (-2139.018) (-2245.176) [-2115.689] -- 0:02:06
887000 -- (-2183.882) (-2125.608) (-2213.699) [-2113.221] * (-2148.182) [-2139.187] (-2234.841) (-2110.706) -- 0:02:05
888000 -- (-2185.679) [-2113.899] (-2199.478) (-2125.299) * (-2152.984) (-2129.442) (-2212.000) [-2111.689] -- 0:02:04
889000 -- (-2182.979) (-2107.574) (-2209.527) [-2121.720] * (-2137.620) (-2135.198) (-2225.545) [-2116.375] -- 0:02:03
890000 -- (-2188.610) [-2114.837] (-2201.316) (-2121.377) * (-2145.442) (-2125.405) (-2207.341) [-2127.682] -- 0:02:01
Average standard deviation of split frequencies: 0.008704
891000 -- (-2180.158) [-2114.452] (-2189.012) (-2124.891) * (-2150.579) (-2141.002) (-2210.884) [-2140.922] -- 0:02:00
892000 -- (-2192.126) (-2134.316) (-2194.789) [-2119.316] * [-2130.017] (-2139.570) (-2208.000) (-2124.800) -- 0:01:59
893000 -- (-2196.780) [-2115.340] (-2170.003) (-2137.187) * [-2115.676] (-2132.274) (-2208.035) (-2136.544) -- 0:01:58
894000 -- (-2201.867) (-2122.660) (-2183.874) [-2141.947] * (-2118.240) [-2113.802] (-2201.021) (-2122.278) -- 0:01:57
895000 -- (-2190.264) [-2115.246] (-2193.252) (-2151.211) * (-2127.462) [-2129.154] (-2215.377) (-2134.812) -- 0:01:56
Average standard deviation of split frequencies: 0.008382
896000 -- (-2177.024) [-2118.524] (-2186.650) (-2134.797) * [-2120.931] (-2142.046) (-2205.596) (-2126.102) -- 0:01:55
897000 -- (-2201.098) [-2120.977] (-2182.296) (-2119.014) * [-2117.729] (-2128.857) (-2207.628) (-2152.574) -- 0:01:54
898000 -- (-2186.389) (-2124.770) (-2195.317) [-2137.340] * (-2132.385) [-2119.372] (-2208.259) (-2135.443) -- 0:01:53
899000 -- (-2193.206) [-2117.548] (-2208.259) (-2139.210) * (-2128.059) [-2103.648] (-2228.071) (-2134.268) -- 0:01:52
900000 -- (-2193.291) [-2116.606] (-2182.471) (-2137.899) * (-2110.589) [-2117.664] (-2218.803) (-2128.350) -- 0:01:50
Average standard deviation of split frequencies: 0.008328
901000 -- (-2181.634) [-2106.994] (-2178.532) (-2137.850) * (-2128.622) (-2131.902) (-2213.689) [-2118.615] -- 0:01:49
902000 -- (-2184.407) [-2110.120] (-2194.721) (-2131.873) * (-2139.883) (-2123.469) (-2210.535) [-2113.940] -- 0:01:48
903000 -- (-2192.571) (-2108.256) (-2193.215) [-2131.921] * (-2162.711) (-2112.714) (-2205.226) [-2121.632] -- 0:01:47
904000 -- (-2188.370) [-2113.557] (-2207.642) (-2128.136) * (-2142.726) (-2107.138) (-2215.406) [-2109.514] -- 0:01:46
905000 -- (-2202.308) (-2116.439) (-2199.380) [-2121.730] * (-2143.610) (-2127.525) (-2234.362) [-2112.888] -- 0:01:45
Average standard deviation of split frequencies: 0.008296
906000 -- (-2228.162) (-2143.096) (-2182.923) [-2115.468] * (-2149.430) (-2140.881) (-2223.106) [-2106.371] -- 0:01:44
907000 -- (-2212.086) [-2117.505] (-2195.390) (-2125.933) * (-2130.158) (-2141.018) (-2213.759) [-2112.555] -- 0:01:43
908000 -- (-2196.768) [-2116.744] (-2200.649) (-2126.933) * [-2130.083] (-2144.630) (-2214.203) (-2126.973) -- 0:01:42
909000 -- (-2221.916) [-2122.137] (-2190.372) (-2144.547) * (-2119.265) (-2148.827) (-2202.556) [-2119.887] -- 0:01:40
910000 -- (-2207.362) [-2107.872] (-2191.514) (-2146.581) * [-2137.644] (-2116.019) (-2213.480) (-2122.990) -- 0:01:39
Average standard deviation of split frequencies: 0.008340
911000 -- (-2202.297) [-2117.159] (-2192.930) (-2155.597) * (-2144.088) (-2134.322) (-2224.892) [-2107.158] -- 0:01:38
912000 -- (-2224.001) [-2127.331] (-2186.587) (-2158.755) * (-2115.801) [-2125.645] (-2223.554) (-2128.708) -- 0:01:37
913000 -- (-2199.624) (-2127.864) (-2203.112) [-2141.652] * [-2103.929] (-2131.903) (-2220.583) (-2124.168) -- 0:01:36
914000 -- (-2202.121) [-2118.323] (-2195.591) (-2144.400) * [-2118.990] (-2138.379) (-2227.054) (-2125.747) -- 0:01:35
915000 -- (-2219.267) [-2115.380] (-2197.324) (-2143.257) * (-2126.874) (-2148.919) (-2219.348) [-2116.946] -- 0:01:34
Average standard deviation of split frequencies: 0.008486
916000 -- (-2197.338) [-2126.732] (-2185.795) (-2136.742) * [-2132.372] (-2159.227) (-2204.768) (-2122.540) -- 0:01:33
917000 -- (-2195.904) [-2137.287] (-2180.857) (-2149.407) * (-2122.196) (-2166.565) (-2234.754) [-2117.539] -- 0:01:32
918000 -- (-2196.601) [-2138.526] (-2188.549) (-2138.442) * (-2114.308) (-2148.824) (-2228.180) [-2105.686] -- 0:01:30
919000 -- (-2185.820) (-2138.602) (-2185.474) [-2129.175] * (-2122.831) (-2141.728) (-2216.256) [-2106.023] -- 0:01:29
920000 -- (-2206.133) (-2114.840) (-2203.640) [-2130.533] * [-2118.522] (-2140.669) (-2198.903) (-2124.288) -- 0:01:28
Average standard deviation of split frequencies: 0.008164
921000 -- (-2219.195) [-2110.386] (-2200.868) (-2136.417) * (-2140.039) (-2143.161) (-2210.387) [-2109.821] -- 0:01:27
922000 -- (-2208.885) [-2120.550] (-2221.241) (-2112.587) * (-2130.515) (-2139.170) (-2216.544) [-2106.354] -- 0:01:26
923000 -- (-2188.345) [-2115.019] (-2215.972) (-2130.500) * (-2119.666) (-2150.206) (-2198.165) [-2115.315] -- 0:01:25
924000 -- (-2183.083) [-2117.067] (-2217.844) (-2133.119) * (-2114.375) (-2164.445) (-2197.740) [-2119.646] -- 0:01:24
925000 -- (-2176.130) [-2115.055] (-2208.870) (-2128.363) * [-2105.188] (-2166.291) (-2217.438) (-2123.400) -- 0:01:23
Average standard deviation of split frequencies: 0.008059
926000 -- (-2181.818) [-2124.785] (-2197.574) (-2127.220) * (-2115.406) (-2148.835) (-2212.928) [-2122.250] -- 0:01:22
927000 -- (-2173.614) [-2108.365] (-2199.320) (-2116.237) * (-2117.485) (-2123.442) (-2223.698) [-2123.900] -- 0:01:20
928000 -- (-2187.452) [-2112.261] (-2199.957) (-2127.646) * (-2119.089) (-2142.297) (-2236.180) [-2113.461] -- 0:01:19
929000 -- (-2189.317) [-2116.168] (-2218.318) (-2120.672) * [-2110.817] (-2148.772) (-2202.417) (-2111.667) -- 0:01:18
930000 -- (-2185.733) [-2117.495] (-2219.295) (-2126.703) * (-2115.750) (-2128.030) (-2215.131) [-2133.281] -- 0:01:17
Average standard deviation of split frequencies: 0.008341
931000 -- (-2203.501) [-2101.571] (-2197.027) (-2118.616) * (-2125.935) [-2126.779] (-2215.235) (-2123.042) -- 0:01:16
932000 -- (-2206.151) (-2123.149) (-2193.865) [-2110.322] * (-2133.086) [-2118.654] (-2208.760) (-2130.714) -- 0:01:15
933000 -- (-2199.577) (-2120.912) (-2185.752) [-2101.967] * [-2113.680] (-2128.203) (-2222.581) (-2126.991) -- 0:01:14
934000 -- (-2209.052) [-2100.246] (-2211.858) (-2110.211) * [-2108.786] (-2140.278) (-2244.293) (-2123.161) -- 0:01:13
935000 -- (-2195.175) [-2112.707] (-2208.732) (-2125.332) * [-2115.701] (-2124.622) (-2226.296) (-2141.750) -- 0:01:12
Average standard deviation of split frequencies: 0.008237
936000 -- (-2211.621) [-2109.263] (-2202.189) (-2115.810) * [-2106.642] (-2142.521) (-2220.681) (-2134.774) -- 0:01:10
937000 -- (-2201.923) [-2113.023] (-2194.193) (-2120.583) * [-2112.691] (-2150.594) (-2216.599) (-2123.158) -- 0:01:09
938000 -- (-2194.043) [-2116.660] (-2188.300) (-2116.180) * (-2139.082) (-2146.015) (-2225.717) [-2119.009] -- 0:01:08
939000 -- (-2190.971) [-2117.470] (-2194.918) (-2109.545) * (-2149.544) (-2120.545) (-2222.315) [-2113.351] -- 0:01:07
940000 -- (-2194.082) (-2127.383) (-2199.041) [-2112.987] * (-2136.722) [-2121.873] (-2217.888) (-2110.980) -- 0:01:06
Average standard deviation of split frequencies: 0.008085
941000 -- (-2203.625) [-2131.199] (-2201.337) (-2123.406) * (-2128.725) [-2101.554] (-2223.872) (-2113.929) -- 0:01:05
942000 -- (-2187.151) (-2131.956) (-2204.509) [-2126.056] * (-2139.353) [-2099.395] (-2214.837) (-2138.500) -- 0:01:04
943000 -- (-2203.364) [-2115.376] (-2190.757) (-2136.760) * (-2134.304) [-2103.067] (-2216.749) (-2132.404) -- 0:01:03
944000 -- (-2191.896) [-2126.917] (-2204.358) (-2119.980) * (-2120.865) [-2110.982] (-2209.071) (-2137.455) -- 0:01:02
945000 -- (-2207.595) (-2138.091) (-2207.886) [-2117.758] * (-2108.181) [-2113.604] (-2205.028) (-2124.221) -- 0:01:00
Average standard deviation of split frequencies: 0.007895
946000 -- (-2189.135) (-2140.783) (-2197.185) [-2119.296] * (-2111.117) [-2123.246] (-2223.117) (-2151.604) -- 0:00:59
947000 -- (-2193.603) [-2124.696] (-2204.943) (-2120.837) * (-2115.959) [-2139.093] (-2245.495) (-2130.903) -- 0:00:58
948000 -- (-2215.207) [-2109.767] (-2189.075) (-2118.008) * [-2117.260] (-2145.774) (-2239.282) (-2141.840) -- 0:00:57
949000 -- (-2207.653) [-2126.982] (-2207.254) (-2135.834) * [-2110.486] (-2166.043) (-2234.274) (-2137.421) -- 0:00:56
950000 -- (-2215.683) [-2124.705] (-2215.569) (-2116.081) * (-2111.546) (-2159.133) (-2210.775) [-2123.297] -- 0:00:55
Average standard deviation of split frequencies: 0.007622
951000 -- (-2192.309) [-2121.548] (-2201.053) (-2118.183) * [-2126.062] (-2167.355) (-2211.690) (-2140.829) -- 0:00:54
952000 -- (-2188.000) [-2111.505] (-2201.356) (-2108.973) * (-2119.869) (-2127.522) (-2204.396) [-2132.505] -- 0:00:53
953000 -- (-2185.505) (-2130.401) (-2200.869) [-2120.365] * (-2125.021) [-2125.785] (-2221.896) (-2136.167) -- 0:00:52
954000 -- (-2200.788) (-2134.335) (-2202.641) [-2110.564] * (-2156.381) [-2108.372] (-2218.265) (-2144.585) -- 0:00:51
955000 -- (-2208.903) (-2120.265) (-2195.325) [-2110.317] * (-2171.005) (-2117.049) (-2224.093) [-2121.879] -- 0:00:49
Average standard deviation of split frequencies: 0.007829
956000 -- (-2186.956) (-2130.215) (-2202.002) [-2113.899] * (-2172.480) [-2130.832] (-2208.239) (-2125.173) -- 0:00:48
957000 -- (-2205.405) [-2115.356] (-2217.878) (-2112.922) * (-2157.667) [-2110.098] (-2211.719) (-2146.864) -- 0:00:47
958000 -- (-2191.630) (-2116.085) (-2215.418) [-2112.556] * (-2152.160) [-2110.861] (-2216.571) (-2162.429) -- 0:00:46
959000 -- (-2204.889) [-2114.137] (-2215.129) (-2112.685) * (-2174.021) [-2118.448] (-2218.224) (-2135.973) -- 0:00:45
960000 -- (-2174.918) (-2127.833) (-2186.317) [-2110.969] * (-2149.378) (-2107.838) (-2222.013) [-2117.918] -- 0:00:44
Average standard deviation of split frequencies: 0.007829
961000 -- (-2174.136) [-2118.124] (-2188.151) (-2126.480) * (-2145.373) [-2108.969] (-2231.206) (-2120.982) -- 0:00:43
962000 -- (-2187.459) [-2119.899] (-2203.210) (-2128.298) * (-2150.419) [-2105.685] (-2223.973) (-2113.824) -- 0:00:42
963000 -- (-2179.743) [-2130.928] (-2213.755) (-2121.167) * (-2142.800) [-2105.354] (-2226.830) (-2119.988) -- 0:00:41
964000 -- (-2188.053) [-2122.040] (-2202.416) (-2122.999) * (-2139.714) (-2112.078) (-2224.329) [-2118.941] -- 0:00:39
965000 -- (-2201.577) [-2116.551] (-2187.632) (-2117.760) * (-2146.248) [-2110.827] (-2228.425) (-2116.141) -- 0:00:38
Average standard deviation of split frequencies: 0.007726
966000 -- (-2227.052) [-2131.303] (-2202.509) (-2129.429) * (-2146.623) (-2126.620) (-2211.066) [-2121.132] -- 0:00:37
967000 -- (-2214.123) [-2123.962] (-2190.771) (-2128.282) * (-2141.874) [-2115.134] (-2212.376) (-2113.802) -- 0:00:36
968000 -- (-2221.875) [-2118.127] (-2192.111) (-2117.456) * (-2138.294) [-2113.557] (-2227.617) (-2117.580) -- 0:00:35
969000 -- (-2229.771) [-2117.346] (-2191.957) (-2131.318) * (-2155.459) (-2120.123) (-2223.586) [-2120.400] -- 0:00:34
970000 -- (-2225.306) (-2133.775) (-2199.432) [-2124.447] * (-2139.576) [-2093.767] (-2238.634) (-2121.400) -- 0:00:33
Average standard deviation of split frequencies: 0.007727
971000 -- (-2232.143) [-2124.242] (-2201.698) (-2118.163) * (-2128.495) [-2105.161] (-2218.583) (-2122.193) -- 0:00:32
972000 -- (-2226.690) [-2120.536] (-2190.351) (-2137.955) * (-2125.567) (-2110.215) (-2208.999) [-2111.670] -- 0:00:31
973000 -- (-2211.816) [-2117.455] (-2182.184) (-2126.963) * (-2136.832) (-2110.579) (-2205.394) [-2111.387] -- 0:00:29
974000 -- (-2195.614) [-2122.339] (-2188.916) (-2133.080) * (-2157.924) (-2126.624) (-2203.125) [-2110.778] -- 0:00:28
975000 -- (-2200.009) [-2121.367] (-2193.844) (-2128.842) * (-2146.689) (-2127.396) (-2221.076) [-2108.132] -- 0:00:27
Average standard deviation of split frequencies: 0.007827
976000 -- (-2191.663) (-2129.859) (-2202.048) [-2110.898] * (-2146.018) (-2139.134) (-2222.117) [-2121.681] -- 0:00:26
977000 -- (-2185.137) (-2134.821) (-2183.828) [-2107.203] * (-2134.798) (-2128.747) (-2209.012) [-2114.108] -- 0:00:25
978000 -- (-2197.054) [-2126.302] (-2196.049) (-2125.012) * (-2132.644) (-2118.494) (-2218.083) [-2112.945] -- 0:00:24
979000 -- (-2192.971) (-2123.415) (-2191.388) [-2126.207] * (-2134.364) (-2153.959) (-2210.324) [-2104.839] -- 0:00:23
980000 -- (-2195.988) [-2119.750] (-2188.626) (-2123.357) * (-2137.150) (-2164.322) (-2202.050) [-2114.998] -- 0:00:22
Average standard deviation of split frequencies: 0.007899
981000 -- (-2177.072) (-2132.712) (-2185.311) [-2114.837] * (-2128.526) (-2143.521) (-2201.465) [-2123.465] -- 0:00:21
982000 -- (-2178.804) (-2121.027) (-2197.248) [-2118.917] * [-2108.036] (-2136.880) (-2218.861) (-2122.310) -- 0:00:19
983000 -- (-2181.162) (-2127.042) (-2214.413) [-2114.943] * [-2113.311] (-2122.773) (-2207.187) (-2120.526) -- 0:00:18
984000 -- (-2186.272) (-2129.091) (-2228.398) [-2119.191] * (-2123.138) (-2151.715) (-2192.935) [-2111.845] -- 0:00:17
985000 -- (-2178.367) [-2113.198] (-2192.276) (-2125.499) * [-2130.100] (-2158.957) (-2183.137) (-2120.344) -- 0:00:16
Average standard deviation of split frequencies: 0.007698
986000 -- (-2181.332) [-2105.831] (-2187.820) (-2122.535) * [-2115.677] (-2144.457) (-2193.077) (-2127.696) -- 0:00:15
987000 -- (-2187.931) (-2107.409) (-2197.612) [-2111.868] * [-2118.660] (-2175.424) (-2219.775) (-2130.811) -- 0:00:14
988000 -- (-2193.729) (-2108.216) (-2210.436) [-2106.005] * [-2109.641] (-2151.691) (-2213.662) (-2130.627) -- 0:00:13
989000 -- (-2189.094) (-2105.873) (-2197.299) [-2102.897] * [-2107.030] (-2163.645) (-2196.942) (-2126.088) -- 0:00:12
990000 -- (-2193.360) (-2128.358) (-2187.819) [-2109.663] * [-2123.440] (-2132.410) (-2207.792) (-2147.973) -- 0:00:11
Average standard deviation of split frequencies: 0.007966
991000 -- (-2195.485) [-2114.127] (-2189.032) (-2111.009) * [-2097.235] (-2128.955) (-2219.451) (-2172.147) -- 0:00:09
992000 -- (-2187.542) (-2126.690) (-2222.509) [-2120.747] * [-2109.490] (-2126.631) (-2230.275) (-2148.550) -- 0:00:08
993000 -- (-2189.014) [-2125.522] (-2214.888) (-2118.997) * (-2132.452) [-2107.082] (-2221.130) (-2161.891) -- 0:00:07
994000 -- (-2188.341) (-2118.747) (-2197.022) [-2126.601] * (-2128.591) [-2119.759] (-2215.252) (-2159.385) -- 0:00:06
995000 -- (-2196.674) [-2129.685] (-2202.478) (-2123.823) * (-2124.818) [-2109.396] (-2219.407) (-2161.498) -- 0:00:05
Average standard deviation of split frequencies: 0.008025
996000 -- (-2195.201) [-2127.861] (-2209.984) (-2138.630) * (-2134.821) [-2119.158] (-2227.653) (-2167.436) -- 0:00:04
997000 -- (-2181.188) (-2129.205) (-2204.927) [-2129.631] * (-2113.185) [-2115.844] (-2212.961) (-2145.491) -- 0:00:03
998000 -- (-2188.397) (-2137.968) (-2206.049) [-2113.750] * [-2128.302] (-2143.735) (-2216.397) (-2145.308) -- 0:00:02
999000 -- (-2184.238) (-2125.293) (-2209.925) [-2112.824] * [-2113.215] (-2133.825) (-2210.644) (-2136.489) -- 0:00:01
1000000 -- (-2192.652) (-2119.665) (-2191.019) [-2097.602] * [-2121.460] (-2147.620) (-2207.307) (-2133.586) -- 0:00:00
Average standard deviation of split frequencies: 0.007862
Analysis completed in 18 mins 31 seconds
Analysis used 1110.56 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -2088.50
Likelihood of best state for "cold" chain of run 2 was -2091.37
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
53.3 % ( 60 %) Dirichlet(Revmat{all})
70.1 % ( 60 %) Slider(Revmat{all})
25.6 % ( 26 %) Dirichlet(Pi{all})
28.1 % ( 33 %) Slider(Pi{all})
61.1 % ( 34 %) Multiplier(Alpha{1,2})
56.2 % ( 22 %) Multiplier(Alpha{3})
45.5 % ( 23 %) Slider(Pinvar{all})
43.4 % ( 45 %) ExtSPR(Tau{all},V{all})
39.4 % ( 43 %) ExtTBR(Tau{all},V{all})
53.8 % ( 59 %) NNI(Tau{all},V{all})
18.1 % ( 21 %) ParsSPR(Tau{all},V{all})
27.6 % ( 31 %) Multiplier(V{all})
73.0 % ( 78 %) Nodeslider(V{all})
25.9 % ( 21 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
52.9 % ( 49 %) Dirichlet(Revmat{all})
70.8 % ( 63 %) Slider(Revmat{all})
24.9 % ( 24 %) Dirichlet(Pi{all})
27.7 % ( 26 %) Slider(Pi{all})
60.6 % ( 33 %) Multiplier(Alpha{1,2})
56.6 % ( 17 %) Multiplier(Alpha{3})
44.6 % ( 18 %) Slider(Pinvar{all})
43.7 % ( 51 %) ExtSPR(Tau{all},V{all})
39.8 % ( 40 %) ExtTBR(Tau{all},V{all})
54.2 % ( 54 %) NNI(Tau{all},V{all})
18.6 % ( 17 %) ParsSPR(Tau{all},V{all})
27.4 % ( 25 %) Multiplier(V{all})
72.8 % ( 80 %) Nodeslider(V{all})
26.1 % ( 19 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.12 0.00 0.00
2 | 166829 0.06 0.00
3 | 166371 167018 0.09
4 | 166612 166843 166327
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.14 0.00 0.00
2 | 167340 0.11 0.00
3 | 166113 166766 0.00
4 | 166927 166690 166164
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)
+------------------------------------------------------------+ -2109.69
| 1 1 |
| 1 2 |
| 1 1 1 1 12 2 |
| 2 1 1 2 1 1 |
| 2 12 122 1 * 1 1 1 12 1 2 11 2 12|
|2 2 2 22211 2 2 2 1 1 1 2* 1 2 1 2 |
| 1 1 22 12 222 2 21 22 2 2 1|
|1 1 2 22 1 *1 1 1 * 1 22 1 |
| 2 12 2 2 22 2 2 |
| 1 1 2 2 1 1 |
| 11 1 * 1 |
| 2 2 |
| 1 |
| 1 1 |
| 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2126.03
^ ^
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 -2097.22 -2139.03
2 -2099.94 -2145.49
--------------------------------------
TOTAL -2097.85 -2144.79
--------------------------------------
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} 0.121762 0.000452 0.082417 0.163924 0.119395 1224.63 1295.17 1.000
r(A<->C){all} 0.036930 0.000290 0.007778 0.070578 0.034212 548.47 628.30 1.005
r(A<->G){all} 0.143694 0.001842 0.058376 0.221296 0.139887 368.13 385.55 1.002
r(A<->T){all} 0.017861 0.000186 0.000015 0.044216 0.014616 534.02 582.81 1.000
r(C<->G){all} 0.051341 0.000480 0.012952 0.094670 0.047920 438.95 477.01 1.004
r(C<->T){all} 0.631295 0.003540 0.516674 0.747977 0.634019 268.50 330.69 1.002
r(G<->T){all} 0.118878 0.001465 0.053980 0.197599 0.115282 378.78 403.24 1.000
pi(A){all} 0.280643 0.000191 0.255478 0.308041 0.280310 957.53 990.51 1.000
pi(C){all} 0.280058 0.000197 0.252006 0.305980 0.280046 801.86 883.78 1.000
pi(G){all} 0.221857 0.000165 0.196801 0.246189 0.221988 975.87 998.97 1.000
pi(T){all} 0.217442 0.000149 0.193967 0.241652 0.217605 950.57 971.26 1.000
alpha{1,2} 0.341303 0.118259 0.001403 0.892384 0.257964 760.21 789.09 1.001
alpha{3} 1.562205 0.942564 0.215596 3.538191 1.339592 854.23 868.24 1.001
pinvar{all} 0.771215 0.004087 0.644307 0.871751 0.783929 502.94 553.43 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 -- C12
5 -- C13
6 -- C14
7 -- C15
8 -- C16
9 -- C17
10 -- C18
11 -- C19
12 -- C2
13 -- C20
14 -- C21
15 -- C22
16 -- C23
17 -- C24
18 -- C25
19 -- C26
20 -- C27
21 -- C28
22 -- C29
23 -- C3
24 -- C30
25 -- C31
26 -- C32
27 -- C33
28 -- C34
29 -- C35
30 -- C36
31 -- C37
32 -- C38
33 -- C39
34 -- C4
35 -- C40
36 -- C41
37 -- C42
38 -- C43
39 -- C44
40 -- C45
41 -- C46
42 -- C47
43 -- C48
44 -- C49
45 -- C5
46 -- C50
47 -- C51
48 -- C52
49 -- C53
50 -- C54
51 -- C55
52 -- C56
53 -- C57
54 -- C58
55 -- C6
56 -- C7
57 -- C8
58 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
-----------------------------------------------------------------
1 -- .*********************************************************
2 -- .*........................................................
3 -- ..*.......................................................
4 -- ...*......................................................
5 -- ....*.....................................................
6 -- .....*....................................................
7 -- ......*...................................................
8 -- .......*..................................................
9 -- ........*.................................................
10 -- .........*................................................
11 -- ..........*...............................................
12 -- ...........*..............................................
13 -- ............*.............................................
14 -- .............*............................................
15 -- ..............*...........................................
16 -- ...............*..........................................
17 -- ................*.........................................
18 -- .................*........................................
19 -- ..................*.......................................
20 -- ...................*......................................
21 -- ....................*.....................................
22 -- .....................*....................................
23 -- ......................*...................................
24 -- .......................*..................................
25 -- ........................*.................................
26 -- .........................*................................
27 -- ..........................*...............................
28 -- ...........................*..............................
29 -- ............................*.............................
30 -- .............................*............................
31 -- ..............................*...........................
32 -- ...............................*..........................
33 -- ................................*.........................
34 -- .................................*........................
35 -- ..................................*.......................
36 -- ...................................*......................
37 -- ....................................*.....................
38 -- .....................................*....................
39 -- ......................................*...................
40 -- .......................................*..................
41 -- ........................................*.................
42 -- .........................................*................
43 -- ..........................................*...............
44 -- ...........................................*..............
45 -- ............................................*.............
46 -- .............................................*............
47 -- ..............................................*...........
48 -- ...............................................*..........
49 -- ................................................*.........
50 -- .................................................*........
51 -- ..................................................*.......
52 -- ...................................................*......
53 -- ....................................................*.....
54 -- .....................................................*....
55 -- ......................................................*...
56 -- .......................................................*..
57 -- ........................................................*.
58 -- .........................................................*
59 -- ..........*....**..............*..........................
60 -- ...............**.........................................
61 -- .................*.*......................................
62 -- ..................*....*..................................
63 -- .*.*****.*..*.*...*.**.********.*.**********.*********...*
64 -- .*.*****.*..***...*.**.********.************.*********..**
65 -- ............................*..............*.*............
66 -- ..................*....*......*....*.*..........*.*.......
67 -- ....*.**....*.*.....**..******..*.*.*.*..*.*.*.*.*.***...*
68 -- .............*...................*........................
69 -- ..........*....................*..........................
70 -- ......*..........................................*........
71 -- ...........................................*.*............
72 -- ..................................*................*.*....
73 -- .*.***************************************************.***
74 -- .......*............................*.....................
75 -- ...*....................................*.................
76 -- ....................*...*.................................
77 -- ........*.**...**.....*........*.......................*..
78 -- .....................*...*.*.*............................
79 -- ..........*....**.....*........*.......................*..
80 -- ............*.............*.*.....*......*.*.*.....*.*....
81 -- ..........**...**.....*........*.......................*..
82 -- .............*...................*......................*.
83 -- .*.*.*...*........*....*......*....*.*.**.*...*.*.*.......
84 -- ......................*................................*..
85 -- .*.*******************************************************
86 -- .*****************************************************.***
87 -- .*.**************.*.**********************************.***
88 -- ...................................................*.*....
89 -- ..................................*................*......
90 -- ..................................*..................*....
91 -- ..........*....**.....*........*..........................
92 -- .*.*****.*..***...*.**.********.**********************..**
93 -- ........*.**...***.*..*........*.......................*..
94 -- .....................*...*...*............................
95 -- .....................*...*................................
96 -- .....................*...*.*..............................
97 -- .....................*.......*............................
98 -- .....................*.....*..............................
99 -- .........................*.*..............................
100 -- .........................*.*.*............................
101 -- .....................*.....*.*............................
102 -- ...........................*.*............................
103 -- .........................*...*............................
104 -- ........*.**...***.*..*........*............*..........*..
105 -- .*.**************.*.************************.*********.***
106 -- ........*.**...**.....*........*............*..........*..
107 -- .*.*****************************************.*********.***
108 -- ............*.............*.......*......*.........*.*....
109 -- ............................*............*.*.*............
110 -- ............*...............*.....*......*.*.*.....*.*....
111 -- ............*...............*..............*.*............
112 -- ............*.....................*................*.*....
113 -- .*.*****.*..*.*...*.**.********.*.**********.*********..**
114 -- ............*.............*...............................
115 -- ..........................*..............*................
116 -- ............*.............*.*............*.*.*............
117 -- ..........................*.......*................*.*....
118 -- ............*............................*................
119 -- .*.*****.*..***..*****.********.**********************..**
120 -- ..................................*......*.........*.*....
121 -- ..........................*.*..............*.*............
122 -- ..................*....*...........*......................
123 -- ............................*.....*........*.*.....*.*....
124 -- ..................*....*..........................*.......
125 -- ............*.............*.*.....*........*.*.....*.*....
126 -- ..............................*...................*.......
127 -- ..........................*.*.....*......*.*.*.....*.*....
128 -- ..................*....*........................*.........
129 -- ...................................*.*....................
130 -- ..............................*....*......................
131 -- ..................*....*......*....*............*.*.......
132 -- ..................*....*......*....*.*..........*.........
133 -- ................................................*.*.......
134 -- ..................*....*.............*....................
135 -- .*.*****.*..***...*.**.********.************.*********...*
136 -- ..................*....*......*......*..........*.*.......
137 -- ..............................*......*....................
138 -- ...................................*..............*.......
139 -- ..................*....*...........*.*..........*.*.......
140 -- ..............................*.................*.........
141 -- .....................................*..........*.........
142 -- ..................*....*......*....*.*............*.......
143 -- ..............................*....*.*..........*.*.......
144 -- ..................*....*......*...........................
145 -- .....................................*............*.......
146 -- .*.*****.*..***..*****.********.************.*********..**
147 -- ...................................*............*.........
148 -- ........*..*..............................................
-----------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
59 3002 1.000000 0.000000 1.000000 1.000000 2
60 3002 1.000000 0.000000 1.000000 1.000000 2
61 3002 1.000000 0.000000 1.000000 1.000000 2
62 3002 1.000000 0.000000 1.000000 1.000000 2
63 2992 0.996669 0.003769 0.994004 0.999334 2
64 2982 0.993338 0.000942 0.992672 0.994004 2
65 2962 0.986676 0.008480 0.980680 0.992672 2
66 2945 0.981013 0.011777 0.972685 0.989340 2
67 2922 0.973351 0.002827 0.971352 0.975350 2
68 2915 0.971019 0.002355 0.969354 0.972685 2
69 2902 0.966689 0.001884 0.965356 0.968021 2
70 2857 0.951699 0.009893 0.944704 0.958694 2
71 2852 0.950033 0.002827 0.948035 0.952032 2
72 2852 0.950033 0.003769 0.947368 0.952698 2
73 2773 0.923718 0.012719 0.914724 0.932712 2
74 2715 0.904397 0.006124 0.900067 0.908728 2
75 2651 0.883078 0.026852 0.864091 0.902065 2
76 2624 0.874084 0.031092 0.852099 0.896069 2
77 2468 0.822119 0.000942 0.821452 0.822785 2
78 2453 0.817122 0.016488 0.805463 0.828781 2
79 2448 0.815456 0.031092 0.793471 0.837442 2
80 2430 0.809460 0.011306 0.801466 0.817455 2
81 2255 0.751166 0.041927 0.721519 0.780813 2
82 2238 0.745503 0.009422 0.738841 0.752165 2
83 2015 0.671219 0.014604 0.660893 0.681546 2
84 1828 0.608927 0.004711 0.605596 0.612258 2
85 1659 0.552632 0.013662 0.542971 0.562292 2
86 1187 0.395403 0.013662 0.385743 0.405063 2
87 1091 0.363424 0.032505 0.340440 0.386409 2
88 1053 0.350766 0.024026 0.333777 0.367755 2
89 976 0.325117 0.009422 0.318454 0.331779 2
90 954 0.317788 0.010364 0.310460 0.325117 2
91 855 0.284810 0.008009 0.279147 0.290473 2
92 726 0.241839 0.005653 0.237841 0.245836 2
93 677 0.225516 0.024968 0.207861 0.243171 2
94 632 0.210526 0.003769 0.207861 0.213191 2
95 607 0.202199 0.003298 0.199867 0.204530 2
96 600 0.199867 0.001884 0.198534 0.201199 2
97 590 0.196536 0.010364 0.189207 0.203864 2
98 589 0.196203 0.005182 0.192538 0.199867 2
99 572 0.190540 0.001884 0.189207 0.191872 2
100 560 0.186542 0.005653 0.182545 0.190540 2
101 559 0.186209 0.006124 0.181879 0.190540 2
102 548 0.182545 0.003769 0.179880 0.185210 2
103 543 0.180879 0.003298 0.178548 0.183211 2
104 536 0.178548 0.012248 0.169887 0.187209 2
105 510 0.169887 0.005653 0.165889 0.173884 2
106 502 0.167222 0.009422 0.160560 0.173884 2
107 474 0.157895 0.016017 0.146569 0.169221 2
108 453 0.150899 0.015546 0.139907 0.161892 2
109 436 0.145237 0.000942 0.144570 0.145903 2
110 424 0.141239 0.001884 0.139907 0.142572 2
111 423 0.140906 0.004240 0.137908 0.143904 2
112 423 0.140906 0.012719 0.131912 0.149900 2
113 420 0.139907 0.013191 0.130580 0.149234 2
114 417 0.138907 0.002355 0.137242 0.140573 2
115 415 0.138241 0.007066 0.133245 0.143238 2
116 411 0.136909 0.001413 0.135909 0.137908 2
117 411 0.136909 0.002355 0.135243 0.138574 2
118 409 0.136243 0.000471 0.135909 0.136576 2
119 404 0.134577 0.013191 0.125250 0.143904 2
120 396 0.131912 0.000942 0.131246 0.132578 2
121 390 0.129913 0.002827 0.127915 0.131912 2
122 376 0.125250 0.006595 0.120586 0.129913 2
123 371 0.123584 0.004240 0.120586 0.126582 2
124 366 0.121919 0.009422 0.115256 0.128581 2
125 365 0.121586 0.021199 0.106596 0.136576 2
126 354 0.117921 0.005653 0.113924 0.121919 2
127 353 0.117588 0.000471 0.117255 0.117921 2
128 352 0.117255 0.002827 0.115256 0.119254 2
129 351 0.116922 0.000471 0.116589 0.117255 2
130 344 0.114590 0.000942 0.113924 0.115256 2
131 339 0.112925 0.005182 0.109260 0.116589 2
132 336 0.111925 0.000000 0.111925 0.111925 2
133 332 0.110593 0.002827 0.108594 0.112592 2
134 332 0.110593 0.008480 0.104597 0.116589 2
135 323 0.107595 0.002355 0.105929 0.109260 2
136 323 0.107595 0.001413 0.106596 0.108594 2
137 323 0.107595 0.008951 0.101266 0.113924 2
138 322 0.107262 0.000000 0.107262 0.107262 2
139 322 0.107262 0.000942 0.106596 0.107928 2
140 321 0.106929 0.003298 0.104597 0.109260 2
141 319 0.106262 0.000471 0.105929 0.106596 2
142 316 0.105263 0.005653 0.101266 0.109260 2
143 314 0.104597 0.002827 0.102598 0.106596 2
144 312 0.103931 0.002827 0.101932 0.105929 2
145 304 0.101266 0.011306 0.093271 0.109260 2
146 292 0.097268 0.004711 0.093937 0.100600 2
147 291 0.096935 0.005182 0.093271 0.100600 2
148 252 0.083944 0.023555 0.067288 0.100600 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] 0.000725 0.000000 0.000000 0.002106 0.000518 1.005 2
length{all}[2] 0.000576 0.000000 0.000001 0.001718 0.000402 1.000 2
length{all}[3] 0.000833 0.000001 0.000002 0.002379 0.000635 1.000 2
length{all}[4] 0.001188 0.000001 0.000020 0.002789 0.000978 1.001 2
length{all}[5] 0.000604 0.000000 0.000000 0.001800 0.000426 1.000 2
length{all}[6] 0.000582 0.000000 0.000000 0.001722 0.000407 1.001 2
length{all}[7] 0.000589 0.000000 0.000000 0.001858 0.000397 1.000 2
length{all}[8] 0.000623 0.000000 0.000000 0.001861 0.000425 1.000 2
length{all}[9] 0.002946 0.000002 0.000571 0.005619 0.002734 1.000 2
length{all}[10] 0.000581 0.000000 0.000000 0.001774 0.000398 1.000 2
length{all}[11] 0.000700 0.000000 0.000000 0.002051 0.000517 1.000 2
length{all}[12] 0.001230 0.000001 0.000002 0.003098 0.001018 1.000 2
length{all}[13] 0.000561 0.000000 0.000001 0.001696 0.000377 1.000 2
length{all}[14] 0.002085 0.000002 0.000175 0.004495 0.001805 1.000 2
length{all}[15] 0.000563 0.000000 0.000001 0.001724 0.000378 1.000 2
length{all}[16] 0.000564 0.000000 0.000001 0.001788 0.000366 1.000 2
length{all}[17] 0.000581 0.000000 0.000000 0.001793 0.000412 1.000 2
length{all}[18] 0.000575 0.000000 0.000001 0.001646 0.000411 1.001 2
length{all}[19] 0.000574 0.000000 0.000000 0.001806 0.000380 1.004 2
length{all}[20] 0.000554 0.000000 0.000000 0.001704 0.000364 1.000 2
length{all}[21] 0.000617 0.000000 0.000000 0.001823 0.000410 1.000 2
length{all}[22] 0.000586 0.000000 0.000000 0.001858 0.000390 1.000 2
length{all}[23] 0.005203 0.000004 0.001704 0.009051 0.004967 1.000 2
length{all}[24] 0.000580 0.000000 0.000000 0.001764 0.000391 1.000 2
length{all}[25] 0.000598 0.000000 0.000001 0.001874 0.000395 1.000 2
length{all}[26] 0.000585 0.000000 0.000000 0.001815 0.000401 1.000 2
length{all}[27] 0.000560 0.000000 0.000000 0.001680 0.000384 1.000 2
length{all}[28] 0.001182 0.000001 0.000021 0.002843 0.000994 1.000 2
length{all}[29] 0.001154 0.000001 0.000009 0.002671 0.000975 1.000 2
length{all}[30] 0.000588 0.000000 0.000000 0.001799 0.000386 1.000 2
length{all}[31] 0.000612 0.000000 0.000000 0.001845 0.000412 1.000 2
length{all}[32] 0.001507 0.000001 0.000009 0.003445 0.001302 1.000 2
length{all}[33] 0.001138 0.000001 0.000001 0.002756 0.000943 1.004 2
length{all}[34] 0.001498 0.000001 0.000018 0.003374 0.001282 1.001 2
length{all}[35] 0.002241 0.000001 0.000442 0.004655 0.002006 1.000 2
length{all}[36] 0.000565 0.000000 0.000000 0.001675 0.000399 1.000 2
length{all}[37] 0.000590 0.000000 0.000000 0.001810 0.000393 1.000 2
length{all}[38] 0.000550 0.000000 0.000000 0.001673 0.000359 1.001 2
length{all}[39] 0.000572 0.000000 0.000000 0.001706 0.000387 1.000 2
length{all}[40] 0.000567 0.000000 0.000000 0.001749 0.000390 1.000 2
length{all}[41] 0.000637 0.000000 0.000000 0.001893 0.000434 1.000 2
length{all}[42] 0.000585 0.000000 0.000000 0.001786 0.000393 1.000 2
length{all}[43] 0.000556 0.000000 0.000000 0.001699 0.000381 1.002 2
length{all}[44] 0.000592 0.000000 0.000000 0.001824 0.000410 1.001 2
length{all}[45] 0.002088 0.000002 0.000185 0.004378 0.001838 1.001 2
length{all}[46] 0.000592 0.000000 0.000001 0.001861 0.000405 1.000 2
length{all}[47] 0.000605 0.000000 0.000000 0.001850 0.000419 1.000 2
length{all}[48] 0.000572 0.000000 0.000001 0.001751 0.000394 1.000 2
length{all}[49] 0.000547 0.000000 0.000000 0.001661 0.000379 1.001 2
length{all}[50] 0.000581 0.000000 0.000000 0.001765 0.000422 1.000 2
length{all}[51] 0.000570 0.000000 0.000000 0.001784 0.000373 1.002 2
length{all}[52] 0.001140 0.000001 0.000010 0.002794 0.000918 1.000 2
length{all}[53] 0.000551 0.000000 0.000000 0.001638 0.000381 1.000 2
length{all}[54] 0.000572 0.000000 0.000000 0.001751 0.000390 1.000 2
length{all}[55] 0.002657 0.000002 0.000421 0.005322 0.002433 1.001 2
length{all}[56] 0.000701 0.000000 0.000000 0.002086 0.000480 1.000 2
length{all}[57] 0.001571 0.000001 0.000028 0.003675 0.001345 1.003 2
length{all}[58] 0.000564 0.000000 0.000000 0.001728 0.000400 1.001 2
length{all}[59] 0.006496 0.000006 0.002387 0.011526 0.006152 1.003 2
length{all}[60] 0.007710 0.000007 0.003071 0.012696 0.007368 1.000 2
length{all}[61] 0.003851 0.000003 0.000969 0.007149 0.003543 1.001 2
length{all}[62] 0.001718 0.000001 0.000193 0.003929 0.001506 1.000 2
length{all}[63] 0.002290 0.000002 0.000217 0.005079 0.001981 1.000 2
length{all}[64] 0.001840 0.000001 0.000207 0.004118 0.001563 1.000 2
length{all}[65] 0.001202 0.000001 0.000037 0.002902 0.000973 1.000 2
length{all}[66] 0.001152 0.000001 0.000028 0.002768 0.000971 1.001 2
length{all}[67] 0.001357 0.000001 0.000014 0.003166 0.001154 1.000 2
length{all}[68] 0.001787 0.000001 0.000066 0.003905 0.001555 1.000 2
length{all}[69] 0.002254 0.000002 0.000195 0.004703 0.002040 1.000 2
length{all}[70] 0.001140 0.000001 0.000020 0.002816 0.000940 1.000 2
length{all}[71] 0.001141 0.000001 0.000012 0.002765 0.000944 1.000 2
length{all}[72] 0.001143 0.000001 0.000023 0.002739 0.000931 1.000 2
length{all}[73] 0.002189 0.000001 0.000300 0.004621 0.001973 1.000 2
length{all}[74] 0.001114 0.000001 0.000027 0.002770 0.000912 1.000 2
length{all}[75] 0.001100 0.000001 0.000001 0.002720 0.000904 1.000 2
length{all}[76] 0.001150 0.000001 0.000004 0.002710 0.000950 1.000 2
length{all}[77] 0.001239 0.000001 0.000021 0.003027 0.001012 1.000 2
length{all}[78] 0.001089 0.000001 0.000005 0.002700 0.000893 1.000 2
length{all}[79] 0.001376 0.000001 0.000001 0.003429 0.001144 1.000 2
length{all}[80] 0.001147 0.000001 0.000015 0.002790 0.000947 1.001 2
length{all}[81] 0.001178 0.000001 0.000002 0.002945 0.000963 1.000 2
length{all}[82] 0.001249 0.000001 0.000001 0.003107 0.001028 1.001 2
length{all}[83] 0.001177 0.000001 0.000028 0.002973 0.000945 1.001 2
length{all}[84] 0.001217 0.000001 0.000000 0.003096 0.000990 1.000 2
length{all}[85] 0.001392 0.000001 0.000000 0.003540 0.001125 1.000 2
length{all}[86] 0.001174 0.000001 0.000000 0.002895 0.000955 1.000 2
length{all}[87] 0.001224 0.000001 0.000000 0.002872 0.001004 0.999 2
length{all}[88] 0.000605 0.000000 0.000000 0.001778 0.000417 0.999 2
length{all}[89] 0.000563 0.000000 0.000000 0.001756 0.000380 1.001 2
length{all}[90] 0.000595 0.000000 0.000000 0.001865 0.000389 0.999 2
length{all}[91] 0.001132 0.000001 0.000005 0.003220 0.000872 0.999 2
length{all}[92] 0.000792 0.000001 0.000000 0.002483 0.000541 1.001 2
length{all}[93] 0.001029 0.000001 0.000003 0.002744 0.000766 0.999 2
length{all}[94] 0.000705 0.000001 0.000001 0.002142 0.000495 0.998 2
length{all}[95] 0.000568 0.000000 0.000000 0.001753 0.000386 0.999 2
length{all}[96] 0.000610 0.000000 0.000001 0.001773 0.000427 1.000 2
length{all}[97] 0.000570 0.000000 0.000000 0.001801 0.000404 0.998 2
length{all}[98] 0.000649 0.000000 0.000001 0.002069 0.000448 0.998 2
length{all}[99] 0.000567 0.000000 0.000001 0.001709 0.000386 1.002 2
length{all}[100] 0.000587 0.000000 0.000002 0.001646 0.000402 0.998 2
length{all}[101] 0.000661 0.000000 0.000002 0.001947 0.000464 0.998 2
length{all}[102] 0.000593 0.000000 0.000002 0.001760 0.000448 1.001 2
length{all}[103] 0.000632 0.000000 0.000000 0.001917 0.000433 0.998 2
length{all}[104] 0.000956 0.000001 0.000006 0.002249 0.000772 1.001 2
length{all}[105] 0.000732 0.000001 0.000000 0.002074 0.000549 0.999 2
length{all}[106] 0.000707 0.000000 0.000002 0.002028 0.000487 0.998 2
length{all}[107] 0.001122 0.000001 0.000002 0.002873 0.000931 0.998 2
length{all}[108] 0.000654 0.000001 0.000000 0.002062 0.000390 0.998 2
length{all}[109] 0.000612 0.000000 0.000000 0.001818 0.000390 0.999 2
length{all}[110] 0.000605 0.000000 0.000002 0.001852 0.000417 0.998 2
length{all}[111] 0.000627 0.000000 0.000003 0.001767 0.000454 0.998 2
length{all}[112] 0.000584 0.000000 0.000000 0.001813 0.000416 0.998 2
length{all}[113] 0.000706 0.000000 0.000000 0.002056 0.000477 0.998 2
length{all}[114] 0.000605 0.000000 0.000003 0.001896 0.000385 0.999 2
length{all}[115] 0.000515 0.000000 0.000002 0.001505 0.000355 1.007 2
length{all}[116] 0.000629 0.000000 0.000002 0.001993 0.000443 1.001 2
length{all}[117] 0.000540 0.000000 0.000001 0.001599 0.000352 1.004 2
length{all}[118] 0.000557 0.000000 0.000000 0.001647 0.000377 1.010 2
length{all}[119] 0.001005 0.000001 0.000008 0.002408 0.000770 0.998 2
length{all}[120] 0.000554 0.000000 0.000003 0.001819 0.000365 0.998 2
length{all}[121] 0.000524 0.000000 0.000005 0.001613 0.000323 1.003 2
length{all}[122] 0.000560 0.000000 0.000000 0.001617 0.000378 0.997 2
length{all}[123] 0.000644 0.000000 0.000000 0.001850 0.000496 1.001 2
length{all}[124] 0.000655 0.000000 0.000002 0.001903 0.000442 0.998 2
length{all}[125] 0.000622 0.000000 0.000001 0.002063 0.000454 0.997 2
length{all}[126] 0.000547 0.000000 0.000001 0.001596 0.000370 0.999 2
length{all}[127] 0.000609 0.000000 0.000002 0.001756 0.000417 0.997 2
length{all}[128] 0.000565 0.000000 0.000001 0.001707 0.000377 1.009 2
length{all}[129] 0.000552 0.000000 0.000001 0.001556 0.000406 0.997 2
length{all}[130] 0.000554 0.000000 0.000000 0.001716 0.000356 0.998 2
length{all}[131] 0.000590 0.000000 0.000002 0.001695 0.000402 0.997 2
length{all}[132] 0.000616 0.000000 0.000004 0.001892 0.000458 1.002 2
length{all}[133] 0.000552 0.000000 0.000000 0.001858 0.000365 1.044 2
length{all}[134] 0.000624 0.000000 0.000001 0.002001 0.000423 1.002 2
length{all}[135] 0.000736 0.000001 0.000001 0.002288 0.000481 0.998 2
length{all}[136] 0.000584 0.000000 0.000000 0.001911 0.000376 1.006 2
length{all}[137] 0.000534 0.000000 0.000000 0.001592 0.000347 1.018 2
length{all}[138] 0.000616 0.000000 0.000000 0.001656 0.000461 0.999 2
length{all}[139] 0.000563 0.000000 0.000001 0.001773 0.000422 1.001 2
length{all}[140] 0.000532 0.000000 0.000000 0.001710 0.000308 1.006 2
length{all}[141] 0.000586 0.000000 0.000000 0.001912 0.000366 1.016 2
length{all}[142] 0.000547 0.000000 0.000001 0.001539 0.000394 1.007 2
length{all}[143] 0.000601 0.000000 0.000002 0.001916 0.000377 1.000 2
length{all}[144] 0.000541 0.000000 0.000001 0.001552 0.000408 1.004 2
length{all}[145] 0.000692 0.000000 0.000001 0.001960 0.000493 1.002 2
length{all}[146] 0.000615 0.000000 0.000006 0.001869 0.000417 0.998 2
length{all}[147] 0.000571 0.000000 0.000000 0.001632 0.000395 1.001 2
length{all}[148] 0.000616 0.000000 0.000003 0.001780 0.000408 0.998 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 = 0.007862
Maximum standard deviation of split frequencies = 0.041927
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.044
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C11 (3)
|
| /----------------------- C10 (2)
| |
| | /-------- C12 (4)
| |------88------+
| | \-------- C46 (41)
| |
| |----------------------- C14 (6)
| |
| |----------------------- C18 (10)
| |
| | /-------- C26 (19)
| | /--100--+
| | | \-------- C30 (24)
| | |
| /-------67------+ |---------------- C37 (31)
| | | |
| | | |---------------- C41 (36)
| | |--98--+
| | | |---------------- C43 (38)
| | | |
| | | |---------------- C53 (49)
| | | |
| | | \---------------- C55 (51)
| | |
| | |----------------------- C45 (40)
| | |
| | |----------------------- C48 (43)
| | |
| | \----------------------- C51 (47)
| |
| | /------------------------------- C13 (5)
| | |
| | | /-------- C15 (7)
| | |----------95----------+
| | | \-------- C54 (50)
| /--100--+ |
| | | | /-------- C16 (8)
| | | |----------90----------+
| | | | \-------- C42 (37)
| | | |
| | | | /----------------------- C20 (13)
| | | | |
| | | | |----------------------- C33 (27)
| | | | |
| | | | | /---------------- C35 (29)
| | | | | |
| | | | |--99--+ /-------- C49 (44)
+ | | | | \---95--+
| | | |---81--+ \-------- C50 (46)
| | | | |
| | | | | /-------- C40 (35)
| | | | | |
| | | | |------95------+-------- C56 (52)
| | | | | |
| | | | | \-------- C58 (54)
| | \---97--+ |
| | | \----------------------- C47 (42)
| | |
| | |------------------------------- C22 (15)
| | |
| /--99--+ | /-------- C28 (21)
| | | |----------87----------+
| | | | \-------- C31 (25)
| | | |
| | | | /-------- C29 (22)
| | | | |
| | | | |-------- C32 (26)
| | | |----------82----------+
| | | | |-------- C34 (28)
| | | | |
| | | | \-------- C36 (30)
| | | |
| | | |------------------------------- C39 (33)
| | | |
| | | |------------------------------- C44 (39)
| | | |
| | | |------------------------------- C52 (48)
| | | |
| | | |------------------------------- C57 (53)
| | | |
| | | \------------------------------- C9 (58)
| | |
| | | /-------- C21 (14)
| | | /---97--+
| /---92--+ | | \-------- C4 (34)
| | | \--------------75--------------+
| | | \---------------- C8 (57)
| | |
| | | /--------------------------------------- C17 (9)
| | | |
| | | | /-------- C19 (11)
| | | | /---97--+
| | | | | \-------- C38 (32)
| | | | /--100-+
| | |------82------+ | | /-------- C23 (16)
| | | | | \--100--+
| | | | /---82--+ \-------- C24 (17)
\---55--+ | | | |
| | | | | /-------- C3 (23)
| | \---75--+ \------61------+
| | | \-------- C7 (56)
| | |
| | \------------------------------- C2 (12)
| |
| | /-------- C25 (18)
| |---------------------100---------------------+
| | \-------- C27 (20)
| |
| \------------------------------------------------------ C5 (45)
|
\-------------------------------------------------------------- C6 (55)
Phylogram (based on average branch lengths):
/-- C1 (1)
|
|-- C11 (3)
|
| /-- C10 (2)
| |
| | /---- C12 (4)
| |--+
| | \-- C46 (41)
| |
| |-- C14 (6)
| |
| |-- C18 (10)
| |
| | /- C26 (19)
| | /----+
| | | \- C30 (24)
| | |
| /--+ |- C37 (31)
| | | |
| | | |- C41 (36)
| | |---+
| | | |- C43 (38)
| | | |
| | | |- C53 (49)
| | | |
| | | \- C55 (51)
| | |
| | |-- C45 (40)
| | |
| | |-- C48 (43)
| | |
| | \-- C51 (47)
| |
| | /-- C13 (5)
| | |
| | | /-- C15 (7)
| | |--+
| | | \-- C54 (50)
| /------+ |
| | | | /-- C16 (8)
| | | |--+
| | | | \-- C42 (37)
| | | |
| | | | /-- C20 (13)
| | | | |
| | | | |-- C33 (27)
| | | | |
| | | | | /--- C35 (29)
| | | | | |
| | | | |---+ /- C49 (44)
+ | | | | \--+
| | | |--+ \- C50 (46)
| | | | |
| | | | | /------- C40 (35)
| | | | | |
| | | | |---+--- C56 (52)
| | | | | |
| | | | | \- C58 (54)
| | \---+ |
| | | \-- C47 (42)
| | |
| | |- C22 (15)
| | |
| /----+ | /-- C28 (21)
| | | |--+
| | | | \-- C31 (25)
| | | |
| | | | /-- C29 (22)
| | | | |
| | | | |-- C32 (26)
| | | |--+
| | | | |---- C34 (28)
| | | | |
| | | | \-- C36 (30)
| | | |
| | | |--- C39 (33)
| | | |
| | | |- C44 (39)
| | | |
| | | |- C52 (48)
| | | |
| | | |- C57 (53)
| | | |
| | | \- C9 (58)
| | |
| | | /------ C21 (14)
| | | /----+
| /------+ | | \----- C4 (34)
| | | \---+
| | | \---- C8 (57)
| | |
| | | /---------- C17 (9)
| | | |
| | | | /-- C19 (11)
| | | | /------+
| | | | | \----- C38 (32)
| | | | /--------------------+
| | |--+ | | /- C23 (16)
| | | | | \-------------------------+
| | | | /---+ \- C24 (17)
\---+ | | | |
| | | | | /----------------- C3 (23)
| | \---+ \--+
| | | \-- C7 (56)
| | |
| | \--- C2 (12)
| |
| | /-- C25 (18)
| |-----------+
| | \- C27 (20)
| |
| \------ C5 (45)
|
\-------- C6 (55)
|----------------| 0.005 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
Running FUBAR...
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\
***************** TYPES OF STANDARD ANALYSES *****************
(1) Selection Analyses
(2) Evolutionary Hypothesis Testing
(3) Relative evolutionary rate inference
(4) Coevolutionary analysis
(5) Basic Analyses
(6) Codon Selection Analyses
(7) Compartmentalization
(8) Data File Tools
(9) Miscellaneous
(10) Model Comparison
(11) Kernel Analysis Tools
(12) Molecular Clock
(13) Phylogeny Reconstruction
(14) Positive Selection
(15) Recombination
(16) Selection/Recombination
(17) Relative Rate
(18) Relative Ratio
(19) Substitution Rates
Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' *****************
(1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution).
(2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood).
(3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting).
(4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection).
(5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification).
(6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood).
(7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation).
Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types):
Analysis Description
--------------------
Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a
coding sequence alignment to determine whether some sites have been
subject to pervasive purifying or diversifying selection. v2.1
introduces two more methods for estimating the posterior distribution of
grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation
Bayes approximation (fastest). Please note that a FUBAR analysis
generates a cache and a results JSON file in the same directory as
directory as the original alignment. HyPhy needs to have write
privileges to this directory. For example if the original file is in
/home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there
will also exist FUBAR-generated files
/home/sergei/FUBAR/data/pol.nex.FUBAR.json,
/home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide
checkpointing so that a partially completed analysis can be restarted.
- __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree
(one per partition)
- __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring
selection (2013), Mol Biol Evol. 30(5):1196-205
- __Written by__: Sergei L Kosakovsky Pond
- __Contact Information__: spond@temple.edu
- __Analysis Version__: 2.1
####Choose Genetic Code
1. [**Universal**] Universal code. (Genebank transl_table=1).
2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2).
3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3).
4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4).
5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5).
6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6).
7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9).
8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10).
9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12).
10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13).
11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14).
12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15).
13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16).
14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21).
15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22).
16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23).
17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24).
18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25).
19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26).
>Please choose an option (or press q to cancel selection):
>Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`)
>A tree was found in the data file: `(C1,C11,(((((C10,(C12,C46),C14,C18,((C26,C30),C37,C41,C43,C53,C55),C45,C48,C51),(C13,(C15,C54),(C16,C42),(C20,C33,(C35,(C49,C50)),(C40,C56,C58),C47),C22,(C28,C31),(C29,C32,C34,C36),C39,C44,C52,C57,C9)),((C21,C4),C8)),(C17,((((C19,C38),(C23,C24)),(C3,C7)),C2)),(C25,C27),C5),C6))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **58** sequences, **342** codons, and **1** partitions from `/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.json_, respectively
> Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer):
####Posterior estimation method
1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation)
2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed)
3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default)
>Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5):
### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model
* Log(L) = -2100.91, AIC-c = 4388.12 (93 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.094
### Computing the phylogenetic likelihood function on the grid
* Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid
* Best scaling achieved for
* synonymous rate = 2.815
* non-synonymous rate = 0.286
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
| Codon | Partition | alpha | beta |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
| 24 | 1 | 0.790 | 7.970 | Pos. posterior = 0.9002 |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these, 0.10 are expected to be false positives (95% confidence interval of 0-1 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.13 sec, SCORE=1000, Nseq=58, Len=342
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFHVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPAENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPAENHGYWL
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL
**************:********:*****************..*******
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 RYTRQKPGGTLIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 RYTRQKPGGTLIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG
********** ************************ ********:*****
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ
**************************************************
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 ERGSGPRSQSVNPRGTCNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 ERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 ERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 ERGSGPRSQSVNPRGTCNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI
************.*** *********************************
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRFRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES
******* ******************************************
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYETPTKPTKDKK
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKLTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 NFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKLTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 NFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK
***.**********:*********:***************.*** *****
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 PGKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HB_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_AH_2004_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_JS_2014_N_AKCHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU150 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU151 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU152 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU153 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU154 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU155 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU156 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU157 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU158 PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
*.****************************************
>CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCTAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGGCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGTTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATCACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAATCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGGCAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_JS_2014_N_AKC54446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAAACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGACACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTTTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCACGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTTCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >KNU14_04_N_AIT11904_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAATCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >KY4813_N_AIA60991_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTATTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >Michigan_8977_2014_N_AIP90490_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTTGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAATAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGACACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAGATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >OH11846_NA_ALJ32189_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53031_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACATGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGGCCGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGTAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCAGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCGTGGTTTCAGGTGCTCAAAGCTCAAAATAAAAAGGCTACTCACCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTCTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGATAAACAAGACCAGTCTGCTAAACCTAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGACTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCGTGGTTTCAGGTGCTCAAAGCTCAAAATAAAAAGGCTACTCACCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTCTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTGACCTTCTCTTACTCAATGACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACTAAACCAACTAAGGACAAGAAGCCTGATAAACAAGACCAGTCTGCTAAACCTAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGACTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Vietnam_Binh21_2015_N_APZ76702_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTTCGTTACACCAGACAAAAGCCGGGCGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACTAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAAACCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGTGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_Swine_Vietnam_HaNoi6_2015_N_APZ76694_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTTCGTTACACCAGACAAAAGCCGGGCGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACTAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCTCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Minnesota140_2015_N_ANI85836_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois136_2014_N_AIB07804_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAAACCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGTGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Illinois134_2014_N_AIB07797_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCTCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Iowa136_2015_N_ANI85829_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTTCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >SD3424_N_AIA60984_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTCTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGACAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCTTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >TT_1115_NA_AMW88201_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGCTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGCACTCCGATTCCTCCATCCTATGCCTTTTATTACACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCTGCAACCACTCGTGTTACTTGGGTTAAAGGTTCGGGAGCTGACACTTCTATTAAGCCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACTGGAGATGGTCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACCCCAGAGGCACATGCAATCAGCCCAGGAAACGCGACCAATCTGCACCTGCTGCGGTACGTCGTAAAACCCAACATCAAGCTCCTAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGCACTGGCGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCTTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAACACGGTCGTTAACCAGACCTATGAGCCACCCACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_IA_2014_8734_N_AHM88404_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAGGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCCCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCCGCTGCGGTACGTCGTAAGACCCAACATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Illinois272_2014_NA_AML40843_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTTGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Illinois273_2014_NA_AML40850_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Illinois449_2014_NA_AML40815_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAATCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Indiana453_2014_NA_AML40808_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Michigan448_2014_NA_AML40801_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota442_2014_NA_AML40780_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGTAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGACAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota214_2014_NA_AML40787_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGTAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGACAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota455_2014_NA_AML40836_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTATTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Minnesota454_2014_NA_AML40829_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCTCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTATTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCGATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Ohio445_2014_NA_AML40892_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTCTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_NorthCarolina452_2014_NA_AML40857_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGGCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGCTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG >USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 ATGGCTGCACCAGTAGTCCCTACTACTGACGCGTCTTGGTTTCAGGTGCTCAAAGCTCAAAACAAAAAGTCTACTCATCCTCAGTTTCGTGGCAATGGAGTTCCGCTTAACTCCGCCATCAAACCCGTTGAAAACCATGGCTACTGGCTGCGTTACACCAGACAAAAGCCAGGTGGTACTCCCATTCCTCCATCCTATGCCTTTTATTATACTGGCACAGGTCCCAGAGGAAATCTTAAGTATGGTGAACTCCCTCCTAATGATACCCCAGCAACCACTCGTGTTACTTGGGTTAAGGGTTCGGGAGCTGACACTTCTATTAAACCTCATGTTGCCAAACGCAACCCCAACAATCCTAAACATCAGCTGTTACCTCTCCGATTCCCAACCGGAGATGGCCCAGCTCAAGGTTTCAGAGTTGACCCCTTCAACGCTAGAGGAAGACCTCAGGAGCGTGGAAGTGGCCCAAGATCTCAATCTGTTAACTCCAGAGGCACAGGCAATCAGCCCAGGAAACGCGACCAATCTGCACCAGCTGCGGTACGTCGTAAGACCCAGCATCAAGCTCCCAAGCGGACTTTACCCAAGGGTAAAACCATTTCTCAGGTATTTGGCAACCGGTCTCGTACTGGTGCCAATGTCGGCTCTGCAGACACTGAGAAGACGGGTATGGCTGATCCTCGCATCATGGCTCTAGCCAGACATGTGCCTGGTGTTCAGGAAATGCTTTTCGCTGGCCACCTTGAGAGCAACTTTCAGGCGGGGGCAATTACCCTTACCTTCTCCTACTCAATCACAGTCAAGGAGGGTTCTCCTGACTATGAGAGACTTAAGGATGCGCTCAATACGGTCGTTAACCAGACCTATGAGCCACCTACCAAACCAACTAAGGACAAGAAGCCTGACAAACAAGACCAGTCTGCTAAACCCAAACAGCAGAAGAAACCTAAAAAGGTAACTCTGCCAGCAGACAAACAGGATTGGGAGTGGGATGATGCTTTTGAGATAAAGCAGGAATCAGCAGCG
>CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PGKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_JS_2014_N_AKC54446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYETPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRFRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFHVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >KNU14_04_N_AIT11904_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >KY4813_N_AIA60991_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >Michigan_8977_2014_N_AIP90490_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >OH11846_NA_ALJ32189_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53031_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNPRGTCNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNPRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSMTVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Vietnam_Binh21_2015_N_APZ76702_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKLTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_Swine_Vietnam_HaNoi6_2015_N_APZ76694_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKLTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTLIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Minnesota140_2015_N_ANI85836_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois136_2014_N_AIB07804_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKTVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQVGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Illinois134_2014_N_AIB07797_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTLIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Iowa136_2015_N_ANI85829_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >SD3424_N_AIA60984_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPLNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >TT_1115_NA_AMW88201_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPAENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNPRGTCNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_IA_2014_8734_N_AHM88404_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Illinois272_2014_NA_AML40843_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Illinois273_2014_NA_AML40850_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Illinois449_2014_NA_AML40815_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Indiana453_2014_NA_AML40808_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Michigan448_2014_NA_AML40801_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota442_2014_NA_AML40780_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota214_2014_NA_AML40787_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYDRLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota455_2014_NA_AML40836_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRITWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Minnesota454_2014_NA_AML40829_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Ohio445_2014_NA_AML40892_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_NorthCarolina452_2014_NA_AML40857_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKATHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA >USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MAAPVVPTTDASWFQVLKAQNKKSTHPQFRGNGVPLNSAIKPVENHGYWL RYTRQKPGGTPIPPSYAFYYTGTGPRGNLKYGELPPNDTPATTRVTWVKG SGADTSIKPHVAKRNPNNPKHQLLPLRFPTGDGPAQGFRVDPFNARGRPQ ERGSGPRSQSVNSRGTGNQPRKRDQSAPAAVRRKTQHQAPKRTLPKGKTI SQVFGNRSRTGANVGSADTEKTGMADPRIMALARHVPGVQEMLFAGHLES NFQAGAITLTFSYSITVKEGSPDYERLKDALNTVVNQTYEPPTKPTKDKK PDKQDQSAKPKQQKKPKKVTLPADKQDWEWDDAFEIKQESAA
Reading sequence file /data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/fasta/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Found 58 sequences of length 1026
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.8%
Found 52 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 4
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 42 polymorphic sites
**p-Value(s)**
----------
NSS: 3.52e-01 (1000 permutations)
Max Chi^2: 7.00e-03 (1000 permutations)
PHI (Permutation): 0.00e+00 (1000 permutations)
PHI (Normal): 2.22e-04
#NEXUS
[ID: 9106610585]
begin taxa;
dimensions ntax=58;
taxlabels
CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15
KNU14_04_N_AIT11904_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15
KY4813_N_AIA60991_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15
MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15
NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
Michigan_8977_2014_N_AIP90490_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15
NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15
OH11846_NA_ALJ32189_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15
P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53031_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15
CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15
OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_Binh21_2015_N_APZ76702_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_HaNoi6_2015_N_APZ76694_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Minnesota140_2015_N_ANI85836_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15
CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois136_2014_N_AIB07804_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois134_2014_N_AIB07797_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Iowa136_2015_N_ANI85829_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15
SD3424_N_AIA60984_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15
TT_1115_NA_AMW88201_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15
USA_IA_2014_8734_N_AHM88404_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
CHN_JS_2014_N_AKC54446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois272_2014_NA_AML40843_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15
USA_Illinois273_2014_NA_AML40850_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois449_2014_NA_AML40815_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Indiana453_2014_NA_AML40808_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan448_2014_NA_AML40801_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota442_2014_NA_AML40780_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15
CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15
USA_Minnesota214_2014_NA_AML40787_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota455_2014_NA_AML40836_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota454_2014_NA_AML40829_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio445_2014_NA_AML40892_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15
USA_NorthCarolina452_2014_NA_AML40857_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15
CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15
HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15
CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15
IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 CHN_HB_2014_N_AKC54439_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
2 IN2847_N_AHN16231_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15,
3 HKU15_44_N_YP_005352835_1_2009_China_Swine_Porcine_coronavirus_HKU15,
4 KNU14_04_N_AIT11904_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15,
5 KY4813_N_AIA60991_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15,
6 MI6148_N_AIA99522_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15,
7 NE3579_N_AIA61005_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
8 Michigan_8977_2014_N_AIP90490_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15,
9 NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15,
10 OH11846_NA_ALJ32189_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15,
11 P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53031_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15,
12 CHN_HN_2014_N_ALS54090_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15,
13 OH1987_N_AHN16224_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15,
14 PDCoV_CHJXNI2_2015_N_ALA13749_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
15 PA3148_N_AIA60998_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15,
16 PDCoV_Swine_Thailand_S5015L_2015_N_AMN91674_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15,
17 PDCoV_Swine_Thailand_S5011_2015_N_AMN91625_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15,
18 PDCoV_Swine_Vietnam_Binh21_2015_N_APZ76702_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
19 PDCoV_USA_Illinois121_2014_N_AHL45011_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15,
20 PDCoV_Swine_Vietnam_HaNoi6_2015_N_APZ76694_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
21 PDCoV_USA_Illinois133_2014_N_AIB07789_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
22 PDCoV_USA_Minnesota140_2015_N_ANI85836_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15,
23 CHN_AH_2004_N_AKC54432_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15,
24 PDCoV_USA_Illinois136_2014_N_AIB07804_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15,
25 PDCoV_USA_Illinois134_2014_N_AIB07797_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
26 PDCoV_USA_Iowa136_2015_N_ANI85829_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15,
27 PDCoV_USA_Ohio137_2014_N_AIB07811_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15,
28 PDCoV_USA_Nebraska137_2015_N_ANI85843_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15,
29 SD3424_N_AIA60984_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
30 PDCoV_USA_Nebraska145_2015_N_ANI85850_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15,
31 USA_Arkansas61_2015_NA_AML40608_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15,
32 TT_1115_NA_AMW88201_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15,
33 USA_IA_2014_8734_N_AHM88404_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
34 CHN_JS_2014_N_AKC54446_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15,
35 SdCV_USA_OhioCVM1_2014_N_AIH06861_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
36 USA_Illinois272_2014_NA_AML40843_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
37 USA_IL_2014_026PDV_P11_N_AKA97942_1_NA_USA_Unknown_Porcine_coronavirus_HKU15,
38 USA_Illinois273_2014_NA_AML40850_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
39 USA_Illinois449_2014_NA_AML40815_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15,
40 USA_Michigan447_2014_NA_AML40794_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
41 USA_Iowa459_2014_NA_AML40906_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15,
42 USA_Indiana453_2014_NA_AML40808_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15,
43 USA_Michigan448_2014_NA_AML40801_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
44 USA_Minnesota442_2014_NA_AML40780_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15,
45 CHN_Tianjin_2016_N_APG38202_1_2016_China_Swine_Porcine_coronavirus_HKU15,
46 USA_Minnesota214_2014_NA_AML40787_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15,
47 USA_Minnesota159_2014_NA_AML40864_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15,
48 USA_Minnesota_2013_NA_AML40822_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15,
49 USA_Minnesota455_2014_NA_AML40836_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
50 USA_Nebraska209_2014_NA_AML40871_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
51 USA_Minnesota454_2014_NA_AML40829_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
52 USA_Ohio445_2014_NA_AML40892_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15,
53 USA_NorthCarolina452_2014_NA_AML40857_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15,
54 USA_Ohio444_2014_NA_AML40885_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15,
55 CH_SXD1_2015_N_ALD83760_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15,
56 HKU15_155_N_AFD29198_1_2010_China_Swine_Porcine_coronavirus_HKU15,
57 CH_Sichuan_S27_2012_N_AKQ63087_1_2012_China_Swine_Porcine_coronavirus_HKU15,
58 IL2768_N_AIA60977_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:5.182726e-04,3:6.353098e-04,(((((2:4.017639e-04,(4:9.775347e-04,41:4.341561e-04)0.883:9.037614e-04,6:4.072087e-04,10:3.983040e-04,((19:3.798474e-04,24:3.907112e-04)1.000:1.505911e-03,31:4.124040e-04,36:3.986496e-04,38:3.591619e-04,49:3.792492e-04,51:3.734525e-04)0.981:9.710588e-04,40:3.897496e-04,43:3.813004e-04,47:4.189984e-04)0.671:9.451053e-04,(5:4.260037e-04,(7:3.965746e-04,50:4.221499e-04)0.952:9.404441e-04,(8:4.245468e-04,37:3.928882e-04)0.904:9.117937e-04,(13:3.770911e-04,27:3.843365e-04,(29:9.747831e-04,(44:4.100655e-04,46:4.052717e-04)0.950:9.441466e-04)0.987:9.725861e-04,(35:2.005822e-03,52:9.178011e-04,54:3.896705e-04)0.950:9.311356e-04,42:3.928297e-04)0.809:9.471465e-04,15:3.776720e-04,(21:4.101042e-04,25:3.946178e-04)0.874:9.498246e-04,(22:3.904105e-04,26:4.007447e-04,28:9.937599e-04,30:3.855674e-04)0.817:8.932043e-04,33:9.429470e-04,39:3.873692e-04,48:3.944388e-04,53:3.809349e-04,58:4.002593e-04)0.973:1.154126e-03)0.997:1.980718e-03,((14:1.804907e-03,34:1.281980e-03)0.971:1.555281e-03,57:1.345125e-03)0.746:1.028491e-03)0.993:1.563177e-03,(9:2.733606e-03,((((11:5.169414e-04,32:1.301933e-03)0.967:2.040065e-03,(16:3.658577e-04,17:4.116386e-04)1.000:7.367520e-03)1.000:6.152429e-03,(23:4.966961e-03,56:4.797890e-04)0.609:9.896135e-04)0.815:1.144420e-03,12:1.017944e-03)0.751:9.625977e-04)0.822:1.012052e-03,(18:4.111321e-04,20:3.639531e-04)1.000:3.542996e-03,45:1.838215e-03)0.924:1.973109e-03,55:2.433091e-03)0.553:1.125120e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:5.182726e-04,3:6.353098e-04,(((((2:4.017639e-04,(4:9.775347e-04,41:4.341561e-04):9.037614e-04,6:4.072087e-04,10:3.983040e-04,((19:3.798474e-04,24:3.907112e-04):1.505911e-03,31:4.124040e-04,36:3.986496e-04,38:3.591619e-04,49:3.792492e-04,51:3.734525e-04):9.710588e-04,40:3.897496e-04,43:3.813004e-04,47:4.189984e-04):9.451053e-04,(5:4.260037e-04,(7:3.965746e-04,50:4.221499e-04):9.404441e-04,(8:4.245468e-04,37:3.928882e-04):9.117937e-04,(13:3.770911e-04,27:3.843365e-04,(29:9.747831e-04,(44:4.100655e-04,46:4.052717e-04):9.441466e-04):9.725861e-04,(35:2.005822e-03,52:9.178011e-04,54:3.896705e-04):9.311356e-04,42:3.928297e-04):9.471465e-04,15:3.776720e-04,(21:4.101042e-04,25:3.946178e-04):9.498246e-04,(22:3.904105e-04,26:4.007447e-04,28:9.937599e-04,30:3.855674e-04):8.932043e-04,33:9.429470e-04,39:3.873692e-04,48:3.944388e-04,53:3.809349e-04,58:4.002593e-04):1.154126e-03):1.980718e-03,((14:1.804907e-03,34:1.281980e-03):1.555281e-03,57:1.345125e-03):1.028491e-03):1.563177e-03,(9:2.733606e-03,((((11:5.169414e-04,32:1.301933e-03):2.040065e-03,(16:3.658577e-04,17:4.116386e-04):7.367520e-03):6.152429e-03,(23:4.966961e-03,56:4.797890e-04):9.896135e-04):1.144420e-03,12:1.017944e-03):9.625977e-04):1.012052e-03,(18:4.111321e-04,20:3.639531e-04):3.542996e-03,45:1.838215e-03):1.973109e-03,55:2.433091e-03):1.125120e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -1900.35 -1926.59
2 -1897.86 -1925.36
--------------------------------------
TOTAL -1898.47 -1926.15
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.084306 0.000256 0.055029 0.115905 0.082714 1056.45 1151.05 1.000
r(A<->C){all} 0.049620 0.000514 0.010752 0.091629 0.045951 597.33 729.85 1.002
r(A<->G){all} 0.135237 0.001969 0.061439 0.231267 0.129683 480.54 542.63 1.000
r(A<->T){all} 0.025012 0.000382 0.000006 0.063761 0.020645 465.78 595.44 1.002
r(C<->G){all} 0.046947 0.000596 0.006201 0.094274 0.043176 741.65 746.82 1.000
r(C<->T){all} 0.645530 0.004078 0.523578 0.774151 0.647242 531.82 572.09 1.000
r(G<->T){all} 0.097654 0.001605 0.029480 0.176098 0.091904 390.31 442.48 1.000
pi(A){all} 0.280728 0.000190 0.254682 0.307842 0.280668 1135.16 1140.70 1.000
pi(C){all} 0.276865 0.000186 0.250129 0.302900 0.276790 1065.50 1152.47 1.000
pi(G){all} 0.222465 0.000170 0.199146 0.250210 0.222550 1155.44 1176.51 1.000
pi(T){all} 0.219941 0.000152 0.196327 0.244465 0.219729 1105.34 1120.18 1.000
alpha{1,2} 0.384920 0.232241 0.000233 1.208362 0.240684 991.54 1030.43 1.000
alpha{3} 1.473955 1.118861 0.001804 3.488639 1.201474 948.77 968.71 1.002
pinvar{all} 0.730174 0.008879 0.548103 0.877043 0.748539 586.59 663.84 1.002
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C1,C11,(((((C10,(C12,C46),C14,C18,((C26,C30),C37,C41,C43,C53,C55),C45,C48,C51),(C13,(C15,C54),(C16,C42),(C20,C33,(C35,(C49,C50)),(C40,C56,C58),C47),C22,(C28,C31),(C29,C32,C34,C36),C39,C44,C52,C57,C9)),((C21,C4),C8)),(C17,((((C19,C38),(C23,C24)),(C3,C7)),C2)),(C25,C27),C5),C6))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **58** sequences, **342** codons, and **1** partitions from `/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_N_ANA78468_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.json_, respectively > Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer): ####Posterior estimation method 1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation) 2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed) 3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default) >Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5): ### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model * Log(L) = -2100.91, AIC-c = 4388.12 (93 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.094 ### Computing the phylogenetic likelihood function on the grid * Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid * Best scaling achieved for * synonymous rate = 2.815 * non-synonymous rate = 0.286 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results | Codon | Partition | alpha | beta |Posterior prob for positive selection| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 24 | 1 | 0.790 | 7.970 | Pos. posterior = 0.9002 | ---- ## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.10 are expected to be false positives (95% confidence interval of 0-1 )
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
