--- 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 -1127.77 -1148.47
2 -1129.14 -1149.48
--------------------------------------
TOTAL -1128.24 -1149.10
--------------------------------------
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} 0.050056 0.000118 0.031644 0.071166 0.048907 1145.11 1309.88 1.000
r(A<->C){all} 0.028466 0.000775 0.000009 0.084635 0.020440 372.13 375.60 1.003
r(A<->G){all} 0.206992 0.004495 0.082616 0.333887 0.201570 264.75 324.40 1.000
r(A<->T){all} 0.051137 0.001170 0.000585 0.117086 0.043708 362.11 447.20 1.001
r(C<->G){all} 0.094074 0.002611 0.012232 0.193047 0.085443 322.18 324.65 1.000
r(C<->T){all} 0.563675 0.007716 0.381205 0.724733 0.563962 316.05 330.05 1.003
r(G<->T){all} 0.055655 0.001378 0.002059 0.127808 0.048625 425.37 441.52 1.007
pi(A){all} 0.263555 0.000300 0.225584 0.294966 0.263602 897.68 917.06 1.000
pi(C){all} 0.243153 0.000263 0.214167 0.277183 0.242674 1092.60 1161.51 1.001
pi(G){all} 0.218967 0.000242 0.188479 0.249153 0.218666 1083.69 1124.08 1.000
pi(T){all} 0.274326 0.000299 0.240892 0.307644 0.274961 935.52 1018.72 1.000
alpha{1,2} 0.622052 0.704463 0.000023 2.255639 0.302602 849.29 876.49 1.000
alpha{3} 1.772951 1.339159 0.114053 4.199260 1.554415 1109.98 1150.01 1.000
pinvar{all} 0.295717 0.041180 0.000013 0.667437 0.267699 454.59 621.83 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:24 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:26:21 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/gapped_alignment/fubar,NH_M_ANA78466_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 59 taxa and 651 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 -> C59
Taxon 56 -> C6
Taxon 57 -> C7
Taxon 58 -> C8
Taxon 59 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667939184
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) = 156101267
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 = 9057257881
Seed = 1471644430
Swapseed = 1667939184
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 7 unique site patterns
Division 2 has 6 unique site patterns
Division 3 has 35 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 -- -2427.344654 -- 123.000264
Chain 2 -- -2463.135394 -- 123.000264
Chain 3 -- -2392.149391 -- 123.000264
Chain 4 -- -2394.554691 -- 123.000264
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2436.531195 -- 123.000264
Chain 2 -- -2418.154701 -- 123.000264
Chain 3 -- -2460.728716 -- 123.000264
Chain 4 -- -2432.746193 -- 123.000264
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2427.345] (-2463.135) (-2392.149) (-2394.555) * [-2436.531] (-2418.155) (-2460.729) (-2432.746)
1000 -- (-1511.522) (-1657.905) (-1552.205) [-1468.612] * (-1549.584) (-1561.192) (-1643.207) [-1464.913] -- 0:16:39
2000 -- (-1439.811) (-1502.254) (-1469.195) [-1366.637] * (-1420.415) (-1457.334) (-1565.340) [-1377.038] -- 0:16:38
3000 -- (-1386.054) (-1475.211) (-1371.490) [-1298.490] * (-1406.975) (-1365.186) (-1462.638) [-1308.782] -- 0:16:37
4000 -- (-1338.686) (-1424.556) (-1343.114) [-1274.905] * (-1371.630) (-1329.389) (-1424.472) [-1309.118] -- 0:16:36
5000 -- [-1295.309] (-1367.559) (-1357.957) (-1279.288) * (-1351.110) (-1311.691) (-1392.150) [-1300.659] -- 0:16:35
Average standard deviation of split frequencies: 0.087785
6000 -- (-1283.739) (-1349.511) (-1351.500) [-1266.113] * (-1353.248) (-1298.202) (-1363.397) [-1288.552] -- 0:16:34
7000 -- (-1274.519) (-1328.448) (-1336.165) [-1266.977] * (-1357.532) (-1302.875) (-1352.276) [-1274.628] -- 0:14:11
8000 -- (-1276.989) (-1333.343) (-1349.767) [-1258.985] * (-1358.126) (-1281.179) (-1362.014) [-1270.026] -- 0:14:28
9000 -- (-1277.906) (-1339.570) (-1349.848) [-1261.270] * (-1370.546) (-1296.942) (-1343.728) [-1270.714] -- 0:14:40
10000 -- (-1284.990) (-1326.150) (-1342.069) [-1252.845] * (-1388.602) (-1284.791) (-1336.162) [-1279.677] -- 0:14:51
Average standard deviation of split frequencies: 0.104405
11000 -- (-1278.584) (-1331.079) (-1336.582) [-1265.408] * (-1379.288) (-1286.009) (-1341.669) [-1273.654] -- 0:14:59
12000 -- (-1283.603) (-1326.148) (-1351.903) [-1256.850] * (-1359.401) (-1297.387) (-1343.743) [-1271.175] -- 0:15:05
13000 -- (-1289.124) (-1328.000) (-1354.447) [-1258.355] * (-1353.300) (-1292.804) (-1329.888) [-1268.815] -- 0:15:11
14000 -- (-1285.487) (-1327.473) (-1350.699) [-1263.197] * (-1359.989) (-1290.062) (-1318.219) [-1256.994] -- 0:15:15
15000 -- (-1295.266) (-1342.783) (-1354.694) [-1264.345] * (-1358.462) [-1280.169] (-1346.160) (-1279.574) -- 0:14:13
Average standard deviation of split frequencies: 0.096959
16000 -- (-1291.205) (-1345.671) (-1348.862) [-1256.258] * (-1354.883) (-1269.502) (-1336.724) [-1268.373] -- 0:14:21
17000 -- (-1291.786) (-1355.453) (-1347.223) [-1257.167] * (-1353.396) (-1271.743) (-1351.591) [-1272.083] -- 0:14:27
18000 -- (-1282.208) (-1345.847) (-1342.969) [-1260.617] * (-1354.323) (-1269.401) (-1320.775) [-1284.852] -- 0:14:32
19000 -- [-1271.385] (-1359.072) (-1332.380) (-1259.959) * (-1359.652) (-1283.236) (-1323.373) [-1274.544] -- 0:14:37
20000 -- [-1272.143] (-1347.201) (-1338.775) (-1269.572) * (-1333.503) (-1279.881) (-1323.993) [-1272.347] -- 0:14:42
Average standard deviation of split frequencies: 0.095802
21000 -- [-1275.226] (-1336.344) (-1329.788) (-1269.231) * (-1344.214) (-1292.755) (-1319.629) [-1269.217] -- 0:13:59
22000 -- (-1278.260) (-1338.744) (-1333.737) [-1267.664] * (-1330.711) (-1291.164) (-1326.699) [-1275.515] -- 0:14:04
23000 -- (-1300.811) (-1341.511) (-1338.545) [-1260.658] * (-1344.192) (-1289.338) (-1325.627) [-1268.256] -- 0:14:09
24000 -- (-1292.806) (-1332.565) (-1343.926) [-1258.311] * (-1336.379) (-1282.327) (-1329.508) [-1267.001] -- 0:14:14
25000 -- (-1286.079) (-1346.001) (-1342.680) [-1247.229] * (-1330.842) (-1281.844) (-1343.475) [-1267.020] -- 0:14:18
Average standard deviation of split frequencies: 0.074954
26000 -- (-1281.804) (-1329.550) (-1348.875) [-1256.951] * (-1334.366) (-1275.830) (-1347.346) [-1268.664] -- 0:14:21
27000 -- (-1281.437) (-1339.022) (-1337.023) [-1257.292] * (-1324.412) (-1269.373) (-1352.450) [-1254.350] -- 0:14:24
28000 -- [-1279.245] (-1336.246) (-1340.898) (-1263.476) * (-1321.618) [-1267.972] (-1330.058) (-1263.148) -- 0:14:27
29000 -- (-1285.400) (-1345.941) (-1347.766) [-1270.891] * (-1322.857) (-1276.926) (-1328.110) [-1280.140] -- 0:13:57
30000 -- (-1266.772) (-1323.303) (-1332.351) [-1264.696] * (-1337.393) (-1289.870) (-1343.187) [-1259.024] -- 0:14:00
Average standard deviation of split frequencies: 0.069722
31000 -- (-1268.057) (-1320.193) (-1337.719) [-1281.254] * (-1342.348) (-1286.434) (-1346.022) [-1260.825] -- 0:14:03
32000 -- (-1287.531) (-1319.471) (-1340.660) [-1264.737] * (-1350.394) (-1271.989) (-1335.969) [-1266.800] -- 0:14:07
33000 -- (-1283.243) (-1329.892) (-1349.971) [-1265.541] * (-1325.251) (-1287.836) (-1333.095) [-1268.901] -- 0:14:09
34000 -- (-1271.485) (-1340.188) (-1357.935) [-1269.385] * (-1321.484) (-1287.808) (-1355.331) [-1272.545] -- 0:14:12
35000 -- [-1271.199] (-1348.943) (-1346.596) (-1270.495) * (-1341.114) (-1287.916) (-1333.756) [-1259.264] -- 0:14:14
Average standard deviation of split frequencies: 0.069953
36000 -- [-1255.513] (-1354.788) (-1333.734) (-1267.894) * (-1339.693) (-1273.911) (-1326.628) [-1251.246] -- 0:14:16
37000 -- [-1255.899] (-1331.350) (-1342.740) (-1274.455) * (-1341.763) (-1274.788) (-1340.619) [-1263.387] -- 0:13:52
38000 -- [-1264.982] (-1314.491) (-1347.068) (-1280.769) * (-1340.492) (-1261.784) (-1341.334) [-1253.016] -- 0:13:55
39000 -- [-1271.551] (-1326.706) (-1339.612) (-1280.669) * (-1335.193) (-1273.131) (-1335.556) [-1259.234] -- 0:13:57
40000 -- [-1270.461] (-1330.992) (-1352.387) (-1284.295) * (-1343.782) (-1275.663) (-1326.142) [-1262.164] -- 0:14:00
Average standard deviation of split frequencies: 0.067416
41000 -- [-1267.975] (-1330.945) (-1337.894) (-1284.689) * (-1343.273) (-1281.564) (-1333.548) [-1275.911] -- 0:14:02
42000 -- (-1280.576) (-1332.878) (-1349.206) [-1267.117] * (-1351.447) [-1264.352] (-1337.067) (-1263.847) -- 0:14:03
43000 -- [-1261.692] (-1332.651) (-1345.452) (-1273.470) * (-1345.058) (-1271.178) (-1351.704) [-1269.755] -- 0:14:05
44000 -- [-1260.332] (-1338.953) (-1357.797) (-1266.128) * (-1349.474) (-1290.417) (-1327.784) [-1279.943] -- 0:14:07
45000 -- [-1255.197] (-1322.025) (-1352.216) (-1265.334) * (-1347.782) (-1288.291) (-1342.685) [-1271.770] -- 0:14:08
Average standard deviation of split frequencies: 0.057819
46000 -- [-1260.959] (-1334.462) (-1336.252) (-1282.186) * (-1356.542) [-1266.722] (-1349.112) (-1275.118) -- 0:13:49
47000 -- (-1264.146) (-1341.907) (-1343.811) [-1265.438] * (-1327.723) [-1271.315] (-1359.063) (-1275.512) -- 0:13:51
48000 -- (-1271.735) (-1338.846) (-1350.965) [-1262.998] * (-1342.370) [-1274.715] (-1365.399) (-1268.649) -- 0:13:53
49000 -- (-1275.411) (-1343.475) (-1353.389) [-1267.084] * (-1339.295) [-1260.581] (-1349.172) (-1282.987) -- 0:13:54
50000 -- (-1286.476) (-1337.006) (-1357.844) [-1267.529] * (-1343.922) [-1270.299] (-1325.048) (-1292.502) -- 0:13:56
Average standard deviation of split frequencies: 0.047366
51000 -- (-1285.031) (-1339.330) (-1332.877) [-1264.117] * (-1348.492) [-1254.652] (-1316.872) (-1299.970) -- 0:13:57
52000 -- (-1294.337) (-1342.222) (-1342.719) [-1260.772] * (-1353.860) [-1257.385] (-1334.096) (-1291.413) -- 0:13:58
53000 -- (-1297.331) (-1352.283) (-1347.195) [-1255.130] * (-1332.479) [-1265.139] (-1341.232) (-1277.014) -- 0:13:59
54000 -- (-1284.146) (-1354.258) (-1357.032) [-1262.720] * (-1342.809) [-1263.550] (-1343.822) (-1304.064) -- 0:13:43
55000 -- (-1284.632) (-1335.494) (-1366.208) [-1263.191] * (-1346.581) [-1256.568] (-1332.156) (-1276.655) -- 0:13:44
Average standard deviation of split frequencies: 0.045337
56000 -- (-1278.317) (-1345.060) (-1352.012) [-1268.638] * (-1340.325) [-1253.465] (-1315.619) (-1283.443) -- 0:13:46
57000 -- (-1269.505) (-1341.936) (-1353.253) [-1266.816] * (-1366.172) [-1254.655] (-1321.419) (-1270.237) -- 0:13:47
58000 -- (-1271.159) (-1336.100) (-1355.334) [-1270.386] * (-1351.849) [-1257.163] (-1322.848) (-1267.567) -- 0:13:48
59000 -- [-1269.949] (-1336.090) (-1352.060) (-1266.915) * (-1362.811) (-1263.410) (-1320.189) [-1253.510] -- 0:13:49
60000 -- [-1263.095] (-1346.546) (-1361.644) (-1264.624) * (-1339.689) [-1271.109] (-1326.275) (-1274.904) -- 0:13:50
Average standard deviation of split frequencies: 0.043709
61000 -- (-1265.963) (-1340.292) (-1355.034) [-1269.582] * (-1347.136) [-1272.271] (-1349.071) (-1280.253) -- 0:13:51
62000 -- [-1270.951] (-1325.473) (-1353.479) (-1279.052) * (-1354.869) [-1258.756] (-1348.823) (-1282.236) -- 0:13:52
63000 -- [-1262.815] (-1332.489) (-1346.846) (-1269.648) * (-1354.916) [-1262.095] (-1330.455) (-1288.846) -- 0:13:52
64000 -- [-1263.867] (-1320.469) (-1359.451) (-1289.731) * (-1353.949) [-1258.648] (-1317.261) (-1288.512) -- 0:13:39
65000 -- [-1273.853] (-1329.023) (-1355.634) (-1269.629) * (-1361.099) (-1265.885) (-1340.388) [-1279.597] -- 0:13:39
Average standard deviation of split frequencies: 0.037078
66000 -- (-1276.594) (-1345.545) (-1345.293) [-1275.606] * (-1361.261) [-1265.966] (-1338.867) (-1284.792) -- 0:13:40
67000 -- (-1285.762) (-1331.369) (-1340.441) [-1266.489] * (-1366.876) [-1272.588] (-1344.570) (-1294.873) -- 0:13:41
68000 -- (-1289.389) (-1347.719) (-1345.643) [-1270.318] * (-1360.096) [-1265.102] (-1350.767) (-1297.724) -- 0:13:42
69000 -- (-1285.199) (-1333.658) (-1339.158) [-1265.545] * (-1361.102) [-1272.388] (-1351.032) (-1306.202) -- 0:13:43
70000 -- (-1273.143) (-1338.192) (-1324.334) [-1261.631] * (-1361.540) [-1252.516] (-1352.179) (-1289.887) -- 0:13:43
Average standard deviation of split frequencies: 0.034769
71000 -- (-1269.506) (-1325.355) (-1329.011) [-1257.408] * (-1352.009) [-1253.107] (-1352.991) (-1305.335) -- 0:13:44
72000 -- (-1281.771) (-1332.648) (-1333.503) [-1255.870] * (-1339.911) [-1253.053] (-1342.937) (-1284.186) -- 0:13:32
73000 -- (-1281.961) (-1332.164) (-1352.467) [-1258.257] * (-1348.142) [-1255.995] (-1330.284) (-1301.997) -- 0:13:32
74000 -- (-1286.818) (-1334.404) (-1339.683) [-1261.761] * (-1340.942) [-1258.191] (-1324.952) (-1285.765) -- 0:13:33
75000 -- (-1283.193) (-1329.468) (-1343.970) [-1253.679] * (-1338.513) [-1255.824] (-1326.583) (-1290.796) -- 0:13:34
Average standard deviation of split frequencies: 0.036464
76000 -- (-1278.828) (-1350.457) (-1338.720) [-1270.462] * (-1364.362) (-1259.857) (-1323.443) [-1274.992] -- 0:13:34
77000 -- (-1280.533) (-1342.318) (-1343.223) [-1270.856] * (-1373.140) [-1264.698] (-1323.571) (-1298.442) -- 0:13:35
78000 -- (-1282.120) (-1324.727) (-1337.388) [-1272.902] * (-1349.368) [-1259.792] (-1337.041) (-1286.352) -- 0:13:35
79000 -- (-1311.157) (-1316.635) (-1343.562) [-1263.443] * (-1341.519) [-1266.134] (-1353.630) (-1286.642) -- 0:13:36
80000 -- (-1296.190) (-1333.454) (-1341.066) [-1259.404] * (-1344.610) [-1265.510] (-1344.732) (-1279.057) -- 0:13:36
Average standard deviation of split frequencies: 0.037346
81000 -- (-1287.056) (-1342.497) (-1333.546) [-1264.902] * (-1355.486) [-1254.215] (-1332.136) (-1262.748) -- 0:13:25
82000 -- (-1297.693) (-1341.760) (-1335.699) [-1252.904] * (-1333.079) [-1254.334] (-1324.983) (-1288.673) -- 0:13:26
83000 -- (-1298.131) (-1338.098) (-1325.136) [-1266.066] * (-1326.707) [-1259.406] (-1321.433) (-1281.086) -- 0:13:26
84000 -- (-1276.486) (-1330.387) (-1326.570) [-1269.060] * (-1332.293) [-1255.834] (-1319.700) (-1279.063) -- 0:13:26
85000 -- (-1289.767) (-1322.213) (-1353.345) [-1258.939] * (-1356.470) [-1271.598] (-1320.094) (-1271.722) -- 0:13:27
Average standard deviation of split frequencies: 0.034319
86000 -- (-1299.965) (-1317.832) (-1351.680) [-1262.073] * (-1337.315) (-1268.666) (-1325.236) [-1282.338] -- 0:13:27
87000 -- (-1295.333) (-1318.877) (-1346.835) [-1263.720] * (-1345.733) [-1279.113] (-1341.269) (-1284.467) -- 0:13:28
88000 -- (-1286.301) (-1321.467) (-1360.222) [-1260.485] * (-1339.493) [-1270.334] (-1335.187) (-1276.989) -- 0:13:28
89000 -- (-1285.900) (-1323.610) (-1363.556) [-1271.761] * (-1348.600) [-1274.459] (-1340.140) (-1297.348) -- 0:13:18
90000 -- (-1284.703) (-1368.439) (-1366.730) [-1269.115] * (-1343.607) [-1271.674] (-1318.444) (-1297.753) -- 0:13:18
Average standard deviation of split frequencies: 0.035529
91000 -- (-1292.314) (-1360.939) (-1369.235) [-1259.652] * (-1339.946) (-1278.972) (-1324.334) [-1270.665] -- 0:13:19
92000 -- (-1285.082) (-1351.743) (-1344.069) [-1261.034] * (-1334.140) [-1267.584] (-1326.316) (-1284.244) -- 0:13:19
93000 -- (-1277.084) (-1347.376) (-1347.231) [-1268.800] * (-1336.722) [-1259.917] (-1330.475) (-1295.421) -- 0:13:19
94000 -- (-1287.989) (-1336.771) (-1350.524) [-1273.278] * (-1342.003) [-1255.235] (-1327.309) (-1278.535) -- 0:13:19
95000 -- [-1293.234] (-1333.702) (-1343.003) (-1283.506) * (-1335.049) [-1256.374] (-1329.274) (-1278.848) -- 0:13:20
Average standard deviation of split frequencies: 0.034373
96000 -- [-1275.416] (-1332.354) (-1337.103) (-1295.758) * (-1333.314) [-1263.516] (-1329.309) (-1279.301) -- 0:13:11
97000 -- [-1267.994] (-1347.476) (-1353.320) (-1275.388) * (-1339.018) (-1277.264) (-1331.498) [-1271.954] -- 0:13:11
98000 -- [-1263.020] (-1337.995) (-1329.326) (-1278.932) * (-1359.983) (-1279.427) (-1354.954) [-1262.825] -- 0:13:11
99000 -- [-1265.302] (-1343.095) (-1337.936) (-1277.402) * (-1336.648) [-1255.064] (-1368.491) (-1273.605) -- 0:13:11
100000 -- [-1273.174] (-1344.152) (-1343.897) (-1274.329) * (-1335.205) (-1255.307) (-1353.736) [-1266.592] -- 0:13:12
Average standard deviation of split frequencies: 0.036252
101000 -- [-1278.109] (-1347.392) (-1341.388) (-1269.912) * (-1355.736) [-1256.502] (-1344.898) (-1271.755) -- 0:13:12
102000 -- (-1275.764) (-1328.745) (-1351.621) [-1263.720] * (-1368.605) [-1260.191] (-1356.011) (-1276.081) -- 0:13:12
103000 -- (-1285.059) (-1332.535) (-1346.192) [-1261.859] * (-1342.579) [-1255.144] (-1345.473) (-1277.501) -- 0:13:12
104000 -- [-1285.362] (-1350.389) (-1329.462) (-1278.664) * (-1348.148) [-1255.738] (-1338.742) (-1263.468) -- 0:13:04
105000 -- [-1276.299] (-1347.455) (-1335.800) (-1286.472) * (-1350.413) [-1254.574] (-1330.714) (-1257.515) -- 0:13:04
Average standard deviation of split frequencies: 0.033318
106000 -- [-1280.858] (-1327.883) (-1347.852) (-1282.403) * (-1347.944) [-1260.466] (-1317.080) (-1275.000) -- 0:13:04
107000 -- (-1285.463) (-1334.876) (-1342.699) [-1273.539] * (-1342.520) [-1261.838] (-1341.032) (-1289.392) -- 0:13:04
108000 -- [-1280.285] (-1343.651) (-1345.801) (-1292.899) * (-1322.050) [-1274.391] (-1334.413) (-1274.928) -- 0:13:04
109000 -- [-1287.802] (-1335.545) (-1330.824) (-1300.154) * (-1316.995) [-1262.963] (-1322.418) (-1277.044) -- 0:13:04
110000 -- [-1298.386] (-1336.739) (-1333.701) (-1298.485) * (-1324.107) [-1272.950] (-1337.440) (-1282.296) -- 0:13:04
Average standard deviation of split frequencies: 0.034665
111000 -- [-1288.462] (-1329.108) (-1344.133) (-1290.477) * (-1342.047) [-1273.191] (-1343.036) (-1286.902) -- 0:13:04
112000 -- (-1289.485) (-1337.748) (-1335.865) [-1280.425] * (-1325.841) [-1270.951] (-1347.150) (-1290.487) -- 0:13:04
113000 -- [-1285.602] (-1349.134) (-1351.635) (-1290.015) * (-1337.365) [-1265.037] (-1341.346) (-1290.635) -- 0:13:04
114000 -- [-1285.055] (-1355.213) (-1354.560) (-1286.774) * (-1352.564) [-1272.632] (-1347.946) (-1278.981) -- 0:13:04
115000 -- [-1275.063] (-1346.146) (-1358.698) (-1291.317) * (-1349.702) [-1283.024] (-1352.324) (-1270.432) -- 0:13:04
Average standard deviation of split frequencies: 0.036361
116000 -- [-1268.561] (-1339.349) (-1343.684) (-1275.405) * (-1342.868) (-1284.697) (-1356.287) [-1265.436] -- 0:13:04
117000 -- [-1255.322] (-1332.830) (-1334.239) (-1268.960) * (-1349.999) (-1289.826) (-1350.219) [-1272.558] -- 0:12:57
118000 -- [-1255.681] (-1336.231) (-1342.619) (-1285.843) * (-1343.277) (-1297.596) (-1361.319) [-1263.828] -- 0:12:57
119000 -- (-1266.561) (-1327.468) (-1348.211) [-1273.735] * (-1350.788) (-1280.511) (-1338.907) [-1263.601] -- 0:12:57
120000 -- [-1258.194] (-1341.378) (-1341.456) (-1280.450) * (-1334.461) (-1281.983) (-1367.250) [-1279.890] -- 0:12:57
Average standard deviation of split frequencies: 0.032983
121000 -- [-1264.253] (-1334.027) (-1349.037) (-1269.829) * (-1329.131) [-1264.852] (-1358.532) (-1295.503) -- 0:12:57
122000 -- [-1255.207] (-1318.656) (-1348.213) (-1275.473) * (-1344.222) [-1258.609] (-1360.318) (-1282.132) -- 0:12:57
123000 -- [-1270.694] (-1315.252) (-1358.415) (-1266.103) * (-1347.165) [-1269.485] (-1353.344) (-1292.654) -- 0:12:57
124000 -- (-1271.403) (-1321.107) (-1353.593) [-1263.088] * (-1357.332) [-1257.565] (-1348.963) (-1282.291) -- 0:12:57
125000 -- (-1266.062) (-1310.430) (-1346.209) [-1273.789] * (-1370.645) [-1255.742] (-1351.814) (-1285.864) -- 0:12:57
Average standard deviation of split frequencies: 0.034607
126000 -- [-1267.419] (-1312.089) (-1339.440) (-1269.368) * (-1357.669) [-1256.497] (-1330.683) (-1280.617) -- 0:12:49
127000 -- [-1262.337] (-1324.048) (-1346.355) (-1283.531) * (-1334.277) [-1261.458] (-1317.729) (-1279.798) -- 0:12:49
128000 -- [-1260.736] (-1321.865) (-1345.499) (-1279.975) * (-1331.777) [-1273.386] (-1321.220) (-1286.646) -- 0:12:49
129000 -- [-1260.945] (-1319.075) (-1355.349) (-1285.579) * (-1336.252) [-1279.224] (-1331.106) (-1291.069) -- 0:12:49
130000 -- [-1262.713] (-1329.703) (-1348.493) (-1286.715) * (-1327.576) [-1278.128] (-1317.958) (-1290.720) -- 0:12:49
Average standard deviation of split frequencies: 0.035649
131000 -- [-1264.273] (-1338.392) (-1341.247) (-1283.527) * (-1341.029) [-1271.794] (-1334.692) (-1296.623) -- 0:12:49
132000 -- [-1267.292] (-1345.222) (-1339.423) (-1297.899) * (-1347.280) [-1265.967] (-1326.445) (-1295.732) -- 0:12:49
133000 -- [-1258.752] (-1328.935) (-1345.875) (-1289.732) * (-1335.875) [-1259.281] (-1324.517) (-1290.977) -- 0:12:49
134000 -- [-1258.435] (-1325.169) (-1349.974) (-1278.217) * (-1343.235) [-1257.877] (-1320.446) (-1281.573) -- 0:12:49
135000 -- [-1255.175] (-1342.148) (-1358.887) (-1279.162) * (-1333.240) [-1259.432] (-1328.112) (-1308.554) -- 0:12:48
Average standard deviation of split frequencies: 0.034486
136000 -- [-1253.647] (-1331.255) (-1338.759) (-1272.325) * (-1345.282) [-1255.938] (-1325.702) (-1296.260) -- 0:12:42
137000 -- [-1263.030] (-1330.286) (-1357.031) (-1264.250) * (-1353.548) [-1266.690] (-1344.082) (-1273.455) -- 0:12:42
138000 -- [-1267.656] (-1330.615) (-1351.178) (-1274.104) * (-1343.246) [-1270.584] (-1347.375) (-1280.661) -- 0:12:42
139000 -- [-1260.369] (-1325.496) (-1353.388) (-1278.594) * (-1350.285) [-1279.642] (-1348.442) (-1295.020) -- 0:12:41
140000 -- [-1255.202] (-1323.433) (-1335.939) (-1300.484) * (-1346.695) [-1274.134] (-1352.655) (-1288.827) -- 0:12:41
Average standard deviation of split frequencies: 0.037641
141000 -- [-1258.766] (-1328.255) (-1339.219) (-1292.713) * (-1354.653) [-1270.955] (-1334.006) (-1291.518) -- 0:12:41
142000 -- [-1254.578] (-1339.140) (-1345.872) (-1282.417) * (-1354.356) [-1263.734] (-1346.875) (-1283.768) -- 0:12:41
143000 -- [-1250.505] (-1334.971) (-1343.330) (-1286.631) * (-1355.528) [-1261.188] (-1338.863) (-1300.501) -- 0:12:41
144000 -- [-1259.192] (-1324.000) (-1335.831) (-1271.664) * (-1361.664) [-1270.228] (-1311.836) (-1273.048) -- 0:12:40
145000 -- [-1263.100] (-1321.671) (-1339.389) (-1282.948) * (-1352.781) (-1278.143) (-1328.776) [-1270.984] -- 0:12:34
Average standard deviation of split frequencies: 0.037870
146000 -- [-1270.692] (-1318.110) (-1337.728) (-1291.732) * (-1337.690) (-1285.905) (-1322.772) [-1264.175] -- 0:12:34
147000 -- [-1260.675] (-1322.018) (-1346.358) (-1291.840) * (-1346.553) (-1265.359) (-1317.278) [-1263.237] -- 0:12:34
148000 -- [-1266.592] (-1314.085) (-1349.592) (-1295.121) * (-1328.908) [-1258.272] (-1320.023) (-1277.211) -- 0:12:34
149000 -- (-1281.552) (-1322.648) (-1356.832) [-1277.839] * (-1335.983) (-1284.280) (-1332.804) [-1277.238] -- 0:12:33
150000 -- (-1268.947) (-1325.457) (-1369.352) [-1277.304] * (-1333.521) [-1277.089] (-1339.392) (-1292.357) -- 0:12:33
Average standard deviation of split frequencies: 0.037652
151000 -- (-1281.215) (-1324.823) (-1351.102) [-1267.557] * (-1343.837) [-1275.194] (-1349.212) (-1284.478) -- 0:12:33
152000 -- (-1286.173) (-1316.105) (-1345.569) [-1271.097] * (-1339.848) (-1286.230) (-1338.195) [-1292.674] -- 0:12:27
153000 -- (-1307.381) (-1330.399) (-1353.781) [-1281.254] * (-1352.494) [-1263.974] (-1325.993) (-1297.054) -- 0:12:27
154000 -- (-1296.692) (-1332.441) (-1346.892) [-1284.776] * (-1322.417) [-1276.643] (-1343.085) (-1284.215) -- 0:12:27
155000 -- (-1302.807) (-1341.865) (-1355.586) [-1269.712] * (-1332.936) (-1287.497) (-1346.880) [-1279.294] -- 0:12:26
Average standard deviation of split frequencies: 0.039068
156000 -- (-1299.402) (-1334.102) (-1351.146) [-1275.473] * (-1345.415) [-1271.688] (-1340.135) (-1280.841) -- 0:12:26
157000 -- (-1288.886) (-1355.093) (-1329.917) [-1263.160] * (-1328.702) [-1274.208] (-1341.532) (-1295.498) -- 0:12:26
158000 -- (-1283.441) (-1328.332) (-1325.452) [-1261.264] * (-1346.614) [-1276.193] (-1335.054) (-1291.574) -- 0:12:26
159000 -- (-1278.445) (-1339.087) (-1330.061) [-1267.149] * (-1357.893) [-1275.169] (-1328.258) (-1291.626) -- 0:12:25
160000 -- (-1283.022) (-1329.543) (-1325.647) [-1265.987] * (-1337.408) [-1271.931] (-1321.921) (-1294.268) -- 0:12:25
Average standard deviation of split frequencies: 0.039370
161000 -- (-1298.485) (-1346.213) (-1338.135) [-1267.162] * (-1326.657) [-1268.422] (-1350.039) (-1295.101) -- 0:12:19
162000 -- (-1289.817) (-1337.035) (-1358.871) [-1267.449] * (-1334.660) [-1273.494] (-1360.497) (-1286.028) -- 0:12:19
163000 -- (-1292.919) (-1339.899) (-1367.383) [-1260.815] * (-1318.928) [-1269.099] (-1352.839) (-1302.040) -- 0:12:19
164000 -- (-1282.761) (-1339.969) (-1352.685) [-1262.183] * (-1330.506) [-1262.869] (-1339.879) (-1297.525) -- 0:12:19
165000 -- (-1296.600) (-1324.115) (-1343.404) [-1255.463] * (-1343.746) [-1272.116] (-1337.061) (-1311.050) -- 0:12:18
Average standard deviation of split frequencies: 0.038794
166000 -- (-1296.387) (-1330.873) (-1340.271) [-1269.061] * (-1351.077) [-1292.331] (-1336.943) (-1309.731) -- 0:12:18
167000 -- (-1290.234) (-1327.107) (-1331.150) [-1269.987] * (-1347.900) [-1275.658] (-1340.077) (-1302.595) -- 0:12:18
168000 -- (-1305.702) (-1315.598) (-1336.585) [-1273.639] * (-1342.101) [-1271.029] (-1333.362) (-1299.310) -- 0:12:17
169000 -- (-1293.219) (-1316.224) (-1344.718) [-1265.345] * (-1341.334) [-1275.341] (-1331.212) (-1292.844) -- 0:12:12
170000 -- (-1284.126) (-1321.197) (-1332.058) [-1271.311] * (-1341.583) [-1275.310] (-1334.436) (-1301.721) -- 0:12:12
Average standard deviation of split frequencies: 0.037338
171000 -- (-1275.747) (-1310.162) (-1346.036) [-1282.844] * (-1335.099) [-1288.253] (-1337.069) (-1287.056) -- 0:12:12
172000 -- [-1278.662] (-1323.397) (-1329.661) (-1288.654) * (-1331.508) [-1287.698] (-1347.619) (-1288.757) -- 0:12:11
173000 -- [-1259.185] (-1317.334) (-1334.352) (-1284.137) * (-1337.363) [-1275.955] (-1358.743) (-1281.115) -- 0:12:11
174000 -- [-1260.150] (-1316.635) (-1353.783) (-1283.289) * (-1355.425) [-1276.320] (-1318.122) (-1272.232) -- 0:12:11
175000 -- [-1264.315] (-1317.885) (-1343.327) (-1281.208) * (-1355.309) [-1276.574] (-1309.069) (-1296.852) -- 0:12:10
Average standard deviation of split frequencies: 0.035794
176000 -- [-1268.500] (-1313.912) (-1369.480) (-1293.998) * (-1350.101) [-1280.900] (-1328.040) (-1284.255) -- 0:12:10
177000 -- [-1282.677] (-1323.459) (-1353.453) (-1276.087) * (-1344.157) [-1268.057] (-1326.132) (-1286.386) -- 0:12:05
178000 -- [-1260.404] (-1330.921) (-1364.326) (-1274.797) * (-1360.422) [-1273.543] (-1324.735) (-1294.170) -- 0:12:05
179000 -- (-1280.309) (-1334.778) (-1363.138) [-1273.066] * (-1347.514) [-1268.844] (-1317.326) (-1311.255) -- 0:12:04
180000 -- [-1277.049] (-1347.607) (-1380.037) (-1276.326) * (-1338.510) [-1284.238] (-1326.564) (-1302.882) -- 0:12:04
Average standard deviation of split frequencies: 0.035385
181000 -- [-1283.562] (-1339.676) (-1360.116) (-1289.501) * (-1339.876) [-1276.407] (-1322.013) (-1281.444) -- 0:12:03
182000 -- [-1271.249] (-1327.267) (-1357.527) (-1282.174) * (-1346.789) [-1268.510] (-1314.664) (-1289.374) -- 0:12:03
183000 -- (-1279.658) (-1322.936) (-1349.773) [-1280.458] * (-1336.003) [-1273.165] (-1303.198) (-1297.463) -- 0:12:03
184000 -- [-1263.567] (-1321.877) (-1336.777) (-1283.986) * (-1341.469) [-1274.880] (-1305.437) (-1287.563) -- 0:11:58
185000 -- [-1271.175] (-1314.057) (-1343.530) (-1304.846) * (-1345.683) [-1264.064] (-1300.570) (-1275.889) -- 0:11:58
Average standard deviation of split frequencies: 0.034193
186000 -- [-1272.268] (-1334.877) (-1352.347) (-1298.426) * (-1347.679) (-1278.773) (-1316.280) [-1264.119] -- 0:11:57
187000 -- [-1270.938] (-1342.796) (-1359.133) (-1297.619) * (-1356.040) [-1264.421] (-1321.280) (-1275.709) -- 0:11:57
188000 -- [-1284.260] (-1337.532) (-1352.334) (-1277.548) * (-1345.698) [-1271.394] (-1312.391) (-1269.875) -- 0:11:56
189000 -- [-1287.328] (-1322.163) (-1351.339) (-1287.911) * (-1343.374) (-1270.981) (-1318.107) [-1265.077] -- 0:11:56
190000 -- [-1271.474] (-1315.475) (-1360.016) (-1292.174) * (-1351.404) (-1266.071) (-1305.387) [-1269.060] -- 0:11:56
Average standard deviation of split frequencies: 0.032848
191000 -- [-1266.552] (-1308.364) (-1337.955) (-1279.483) * (-1332.524) [-1257.408] (-1320.334) (-1295.124) -- 0:11:55
192000 -- [-1261.071] (-1315.632) (-1331.796) (-1281.987) * (-1329.796) [-1263.360] (-1325.523) (-1292.171) -- 0:11:55
193000 -- [-1261.649] (-1312.260) (-1331.595) (-1291.422) * (-1327.858) [-1266.564] (-1337.328) (-1299.971) -- 0:11:55
194000 -- [-1266.099] (-1318.371) (-1346.115) (-1297.770) * (-1326.048) [-1267.350] (-1325.224) (-1290.384) -- 0:11:50
195000 -- [-1269.122] (-1325.167) (-1339.237) (-1290.460) * (-1341.669) [-1254.618] (-1334.900) (-1289.880) -- 0:11:50
Average standard deviation of split frequencies: 0.031138
196000 -- [-1263.545] (-1328.884) (-1347.885) (-1291.399) * (-1334.114) [-1261.888] (-1341.012) (-1284.855) -- 0:11:49
197000 -- [-1264.109] (-1319.001) (-1351.468) (-1276.111) * (-1346.110) [-1269.536] (-1318.821) (-1295.195) -- 0:11:49
198000 -- (-1281.268) (-1316.183) (-1352.526) [-1268.071] * (-1347.368) [-1268.945] (-1324.448) (-1287.782) -- 0:11:48
199000 -- (-1281.523) (-1320.872) (-1362.932) [-1271.692] * (-1359.299) (-1285.978) (-1330.833) [-1276.920] -- 0:11:48
200000 -- [-1253.966] (-1316.022) (-1359.223) (-1280.653) * (-1351.344) (-1279.012) (-1325.519) [-1265.427] -- 0:11:48
Average standard deviation of split frequencies: 0.030372
201000 -- [-1261.650] (-1328.782) (-1363.579) (-1270.731) * (-1341.675) (-1278.721) (-1306.139) [-1269.546] -- 0:11:47
202000 -- [-1262.788] (-1338.761) (-1358.420) (-1274.215) * (-1354.136) (-1278.345) (-1335.993) [-1259.786] -- 0:11:43
203000 -- (-1277.866) (-1338.953) (-1338.009) [-1270.357] * (-1346.648) [-1263.823] (-1333.295) (-1259.575) -- 0:11:42
204000 -- (-1280.297) (-1333.177) (-1337.378) [-1274.598] * (-1349.699) (-1269.860) (-1336.962) [-1256.287] -- 0:11:42
205000 -- [-1271.670] (-1321.253) (-1337.174) (-1269.505) * (-1344.812) (-1284.788) (-1331.707) [-1268.781] -- 0:11:41
Average standard deviation of split frequencies: 0.028319
206000 -- [-1259.864] (-1313.724) (-1344.377) (-1270.178) * (-1347.032) (-1284.019) (-1314.556) [-1263.773] -- 0:11:41
207000 -- [-1270.926] (-1319.599) (-1345.359) (-1276.041) * (-1336.794) (-1275.778) (-1307.383) [-1262.658] -- 0:11:41
208000 -- (-1258.274) (-1317.122) (-1369.056) [-1257.830] * (-1348.414) (-1275.813) (-1323.077) [-1247.897] -- 0:11:40
209000 -- (-1253.957) (-1317.016) (-1343.706) [-1256.033] * (-1331.409) (-1277.725) (-1337.239) [-1259.931] -- 0:11:40
210000 -- (-1264.581) (-1320.624) (-1338.592) [-1259.417] * (-1335.081) (-1275.565) (-1334.500) [-1256.920] -- 0:11:35
Average standard deviation of split frequencies: 0.027691
211000 -- (-1267.058) (-1326.448) (-1352.673) [-1263.732] * (-1327.969) (-1273.616) (-1341.311) [-1253.439] -- 0:11:35
212000 -- (-1283.216) (-1317.925) (-1347.366) [-1252.030] * (-1333.476) [-1259.658] (-1339.883) (-1271.432) -- 0:11:35
213000 -- [-1271.486] (-1329.931) (-1348.400) (-1259.655) * (-1316.258) [-1254.912] (-1346.978) (-1289.352) -- 0:11:34
214000 -- [-1270.272] (-1328.370) (-1344.976) (-1256.047) * (-1337.345) [-1261.349] (-1344.192) (-1270.238) -- 0:11:34
215000 -- [-1275.948] (-1323.030) (-1348.389) (-1264.975) * (-1340.700) [-1267.523] (-1342.541) (-1281.490) -- 0:11:33
Average standard deviation of split frequencies: 0.027340
216000 -- [-1270.497] (-1345.139) (-1329.683) (-1266.537) * (-1327.217) [-1257.915] (-1324.127) (-1278.880) -- 0:11:33
217000 -- [-1257.741] (-1352.113) (-1335.224) (-1266.331) * (-1329.081) [-1261.258] (-1323.742) (-1272.512) -- 0:11:32
218000 -- [-1253.078] (-1356.691) (-1337.263) (-1262.917) * (-1324.875) [-1275.579] (-1333.355) (-1269.114) -- 0:11:28
219000 -- [-1260.774] (-1353.954) (-1334.410) (-1276.572) * (-1337.405) (-1279.199) (-1336.360) [-1270.260] -- 0:11:28
220000 -- [-1258.804] (-1344.668) (-1343.092) (-1276.780) * (-1323.510) (-1273.442) (-1347.293) [-1262.697] -- 0:11:27
Average standard deviation of split frequencies: 0.025485
221000 -- [-1259.780] (-1343.703) (-1334.479) (-1281.677) * (-1352.608) (-1275.571) (-1335.346) [-1269.259] -- 0:11:27
222000 -- [-1252.938] (-1324.430) (-1347.279) (-1286.088) * (-1354.753) [-1275.801] (-1339.264) (-1291.387) -- 0:11:26
223000 -- [-1261.959] (-1314.391) (-1334.122) (-1271.980) * (-1331.040) [-1279.327] (-1354.048) (-1284.759) -- 0:11:26
224000 -- [-1269.799] (-1330.442) (-1349.561) (-1260.959) * (-1334.322) [-1277.398] (-1341.250) (-1288.377) -- 0:11:25
225000 -- (-1282.051) (-1324.264) (-1359.421) [-1268.300] * (-1337.506) [-1274.066] (-1341.646) (-1276.447) -- 0:11:22
Average standard deviation of split frequencies: 0.025250
226000 -- (-1280.569) (-1351.113) (-1355.020) [-1280.250] * (-1336.285) [-1264.299] (-1332.906) (-1288.931) -- 0:11:21
227000 -- [-1264.111] (-1329.824) (-1353.995) (-1279.552) * (-1349.099) [-1263.073] (-1336.459) (-1279.754) -- 0:11:21
228000 -- [-1268.010] (-1326.024) (-1341.764) (-1286.666) * (-1349.387) [-1262.573] (-1332.641) (-1270.623) -- 0:11:20
229000 -- [-1261.642] (-1336.961) (-1323.092) (-1281.133) * (-1344.572) [-1269.151] (-1332.341) (-1272.851) -- 0:11:20
230000 -- [-1273.367] (-1348.966) (-1338.835) (-1285.032) * (-1334.754) [-1265.527] (-1342.467) (-1291.016) -- 0:11:19
Average standard deviation of split frequencies: 0.024341
231000 -- (-1278.734) (-1345.538) (-1332.445) [-1281.314] * (-1346.593) [-1256.677] (-1349.197) (-1305.628) -- 0:11:19
232000 -- [-1258.566] (-1345.929) (-1342.504) (-1283.154) * (-1348.916) [-1251.978] (-1320.920) (-1289.024) -- 0:11:18
233000 -- [-1271.062] (-1358.730) (-1350.553) (-1284.662) * (-1345.936) [-1251.623] (-1327.620) (-1287.329) -- 0:11:18
234000 -- [-1274.679] (-1339.075) (-1344.981) (-1278.958) * (-1336.152) [-1270.215] (-1327.273) (-1295.159) -- 0:11:14
235000 -- (-1262.966) (-1341.907) (-1333.317) [-1290.932] * (-1327.849) [-1253.251] (-1346.153) (-1268.286) -- 0:11:13
Average standard deviation of split frequencies: 0.026294
236000 -- [-1254.903] (-1327.723) (-1349.536) (-1293.854) * (-1338.396) [-1254.268] (-1340.840) (-1284.976) -- 0:11:13
237000 -- [-1254.867] (-1342.355) (-1352.445) (-1287.979) * (-1342.711) [-1248.892] (-1339.606) (-1276.535) -- 0:11:12
238000 -- [-1261.705] (-1356.528) (-1348.466) (-1293.515) * (-1343.671) [-1258.642] (-1349.481) (-1277.262) -- 0:11:12
239000 -- [-1252.584] (-1340.470) (-1331.752) (-1287.268) * (-1329.072) [-1260.783] (-1326.470) (-1268.167) -- 0:11:11
240000 -- [-1270.533] (-1352.378) (-1318.564) (-1278.912) * (-1349.075) [-1263.168] (-1324.773) (-1264.761) -- 0:11:11
Average standard deviation of split frequencies: 0.026023
241000 -- [-1265.796] (-1325.188) (-1347.071) (-1286.614) * (-1334.492) (-1261.063) (-1321.463) [-1264.445] -- 0:11:10
242000 -- [-1272.923] (-1323.088) (-1334.962) (-1307.700) * (-1332.535) [-1260.374] (-1323.056) (-1276.433) -- 0:11:07
243000 -- [-1267.769] (-1326.468) (-1341.959) (-1294.307) * (-1344.765) [-1271.569] (-1317.082) (-1293.738) -- 0:11:06
244000 -- [-1260.524] (-1330.294) (-1339.931) (-1285.467) * (-1339.823) [-1288.239] (-1321.767) (-1285.057) -- 0:11:06
245000 -- [-1261.036] (-1324.015) (-1332.397) (-1284.116) * (-1338.808) [-1278.807] (-1312.979) (-1278.280) -- 0:11:05
Average standard deviation of split frequencies: 0.026122
246000 -- (-1273.938) (-1338.160) (-1345.620) [-1281.702] * (-1332.268) (-1271.074) (-1324.619) [-1279.299] -- 0:11:05
247000 -- [-1265.961] (-1326.453) (-1347.042) (-1277.630) * (-1329.335) [-1264.061] (-1346.716) (-1295.738) -- 0:11:04
248000 -- [-1264.645] (-1342.858) (-1365.552) (-1280.321) * (-1353.510) [-1271.498] (-1323.189) (-1293.531) -- 0:11:04
249000 -- [-1268.803] (-1338.508) (-1344.290) (-1286.219) * (-1340.685) [-1264.494] (-1332.073) (-1307.205) -- 0:11:00
250000 -- [-1264.701] (-1330.834) (-1335.206) (-1283.333) * (-1345.053) (-1290.986) (-1324.896) [-1265.104] -- 0:11:00
Average standard deviation of split frequencies: 0.026127
251000 -- [-1267.016] (-1330.481) (-1327.293) (-1273.328) * (-1340.159) (-1295.236) (-1321.622) [-1262.059] -- 0:10:59
252000 -- [-1265.576] (-1337.837) (-1317.365) (-1273.193) * (-1335.745) (-1298.619) (-1331.459) [-1276.246] -- 0:10:58
253000 -- [-1263.437] (-1330.675) (-1319.141) (-1272.819) * (-1345.686) (-1280.838) (-1312.081) [-1286.420] -- 0:10:58
254000 -- [-1264.455] (-1337.332) (-1317.778) (-1265.792) * (-1356.326) (-1312.423) (-1331.413) [-1281.276] -- 0:10:57
255000 -- (-1272.498) (-1319.289) (-1333.588) [-1268.666] * (-1351.311) (-1305.196) (-1318.228) [-1274.828] -- 0:10:57
Average standard deviation of split frequencies: 0.025311
256000 -- (-1272.346) (-1335.609) (-1325.700) [-1273.327] * (-1357.092) (-1303.393) (-1324.088) [-1282.754] -- 0:10:56
257000 -- [-1270.295] (-1322.651) (-1333.921) (-1278.159) * (-1341.956) (-1295.542) (-1333.441) [-1288.430] -- 0:10:53
258000 -- [-1269.881] (-1321.920) (-1339.479) (-1295.361) * (-1355.183) (-1288.787) (-1322.279) [-1276.966] -- 0:10:52
259000 -- [-1279.768] (-1325.156) (-1332.573) (-1297.589) * (-1358.717) [-1270.646] (-1325.033) (-1308.581) -- 0:10:52
260000 -- [-1277.086] (-1324.822) (-1326.989) (-1293.112) * (-1348.178) [-1272.277] (-1325.978) (-1300.027) -- 0:10:51
Average standard deviation of split frequencies: 0.025187
261000 -- (-1279.500) (-1314.168) (-1338.055) [-1267.745] * (-1340.294) [-1274.104] (-1333.460) (-1290.538) -- 0:10:51
262000 -- (-1285.874) (-1320.604) (-1337.199) [-1267.847] * (-1345.902) [-1268.746] (-1332.271) (-1294.342) -- 0:10:50
263000 -- (-1295.969) (-1311.469) (-1341.586) [-1261.134] * (-1342.078) [-1266.770] (-1344.559) (-1293.142) -- 0:10:50
264000 -- (-1288.568) (-1308.397) (-1347.465) [-1269.331] * (-1357.871) (-1285.149) (-1345.975) [-1278.689] -- 0:10:49
265000 -- (-1292.904) (-1328.042) (-1331.252) [-1268.986] * (-1375.822) [-1274.096] (-1334.658) (-1286.466) -- 0:10:49
Average standard deviation of split frequencies: 0.025887
266000 -- (-1293.795) (-1333.905) (-1330.428) [-1264.881] * (-1354.326) [-1262.401] (-1330.426) (-1288.008) -- 0:10:48
267000 -- (-1277.964) (-1322.750) (-1330.482) [-1256.782] * (-1364.942) (-1265.922) (-1335.858) [-1272.998] -- 0:10:45
268000 -- (-1297.222) (-1335.938) (-1348.090) [-1264.961] * (-1348.639) [-1274.454] (-1336.766) (-1266.696) -- 0:10:44
269000 -- (-1304.715) (-1338.223) (-1354.996) [-1270.754] * (-1351.704) [-1275.013] (-1327.542) (-1285.364) -- 0:10:44
270000 -- (-1300.735) (-1338.344) (-1364.080) [-1276.270] * (-1353.221) [-1274.256] (-1334.932) (-1289.755) -- 0:10:43
Average standard deviation of split frequencies: 0.026821
271000 -- (-1282.906) (-1349.232) (-1364.102) [-1280.820] * (-1338.751) (-1302.441) (-1342.294) [-1271.554] -- 0:10:42
272000 -- (-1279.520) (-1318.289) (-1359.734) [-1273.408] * (-1338.428) (-1297.980) (-1340.141) [-1274.151] -- 0:10:42
273000 -- [-1275.312] (-1331.991) (-1357.904) (-1277.305) * (-1330.829) [-1271.066] (-1334.413) (-1274.824) -- 0:10:41
274000 -- (-1272.628) (-1309.870) (-1354.751) [-1278.240] * (-1339.724) (-1273.877) (-1331.492) [-1282.346] -- 0:10:41
275000 -- (-1276.419) (-1315.614) (-1355.923) [-1276.380] * (-1333.701) (-1272.864) (-1328.698) [-1265.391] -- 0:10:38
Average standard deviation of split frequencies: 0.026980
276000 -- [-1262.509] (-1329.071) (-1345.130) (-1288.843) * (-1341.397) [-1265.040] (-1323.058) (-1274.510) -- 0:10:37
277000 -- [-1279.546] (-1325.571) (-1347.530) (-1271.403) * (-1348.278) [-1266.633] (-1311.438) (-1273.727) -- 0:10:36
278000 -- [-1273.991] (-1317.161) (-1349.148) (-1285.603) * (-1345.908) [-1261.681] (-1319.239) (-1290.964) -- 0:10:36
279000 -- [-1267.746] (-1333.080) (-1356.792) (-1290.202) * (-1343.558) [-1264.023] (-1312.751) (-1289.501) -- 0:10:35
280000 -- [-1277.525] (-1334.471) (-1344.459) (-1300.516) * (-1347.569) [-1260.631] (-1323.516) (-1278.259) -- 0:10:35
Average standard deviation of split frequencies: 0.026905
281000 -- [-1275.866] (-1349.429) (-1329.275) (-1303.107) * (-1337.641) [-1261.079] (-1321.436) (-1284.904) -- 0:10:34
282000 -- [-1280.662] (-1334.813) (-1355.559) (-1298.889) * (-1341.394) [-1258.269] (-1323.180) (-1278.615) -- 0:10:33
283000 -- [-1268.590] (-1339.416) (-1334.420) (-1262.653) * (-1341.349) (-1279.660) (-1343.202) [-1273.892] -- 0:10:30
284000 -- (-1267.830) (-1329.234) (-1340.305) [-1270.357] * (-1346.185) [-1261.096] (-1345.273) (-1277.756) -- 0:10:30
285000 -- (-1280.066) (-1333.214) (-1330.294) [-1262.147] * (-1332.151) [-1264.548] (-1316.148) (-1285.092) -- 0:10:29
Average standard deviation of split frequencies: 0.026217
286000 -- (-1295.614) (-1343.798) (-1328.912) [-1274.389] * (-1341.419) [-1264.602] (-1315.583) (-1284.470) -- 0:10:29
287000 -- (-1285.356) (-1333.840) (-1313.345) [-1277.363] * (-1343.127) [-1273.955] (-1314.438) (-1283.760) -- 0:10:28
288000 -- (-1279.103) (-1316.244) (-1322.459) [-1279.511] * (-1339.821) [-1257.377] (-1327.224) (-1282.595) -- 0:10:27
289000 -- [-1265.037] (-1309.893) (-1311.561) (-1275.903) * (-1329.027) [-1261.959] (-1332.223) (-1269.446) -- 0:10:27
290000 -- [-1270.272] (-1329.365) (-1343.019) (-1290.098) * (-1342.250) [-1258.982] (-1346.094) (-1293.403) -- 0:10:26
Average standard deviation of split frequencies: 0.026255
291000 -- (-1290.967) (-1341.580) (-1322.518) [-1283.932] * (-1340.500) [-1264.946] (-1336.721) (-1283.779) -- 0:10:23
292000 -- (-1286.734) (-1329.566) (-1329.498) [-1272.919] * (-1324.080) [-1260.530] (-1345.997) (-1283.756) -- 0:10:23
293000 -- (-1285.406) (-1343.987) (-1335.427) [-1263.102] * (-1327.499) [-1260.596] (-1376.670) (-1284.728) -- 0:10:22
294000 -- (-1283.719) (-1340.167) (-1349.352) [-1288.535] * (-1317.705) [-1259.377] (-1337.618) (-1269.582) -- 0:10:21
295000 -- (-1287.611) (-1345.409) (-1329.222) [-1283.150] * (-1323.040) (-1267.861) (-1327.100) [-1274.921] -- 0:10:21
Average standard deviation of split frequencies: 0.026623
296000 -- [-1288.814] (-1331.271) (-1324.013) (-1281.342) * (-1342.978) (-1263.648) (-1343.476) [-1268.880] -- 0:10:20
297000 -- (-1276.838) (-1322.728) (-1320.051) [-1281.358] * (-1374.399) (-1281.108) (-1344.411) [-1265.668] -- 0:10:20
298000 -- (-1300.648) (-1327.015) (-1324.248) [-1271.428] * (-1362.746) [-1276.888] (-1349.904) (-1290.435) -- 0:10:19
299000 -- (-1308.722) (-1356.388) (-1322.656) [-1276.394] * (-1359.651) [-1268.246] (-1347.137) (-1302.694) -- 0:10:18
300000 -- (-1293.232) (-1346.075) (-1331.779) [-1273.196] * (-1343.012) [-1274.781] (-1347.615) (-1281.293) -- 0:10:16
Average standard deviation of split frequencies: 0.026895
301000 -- [-1284.641] (-1335.183) (-1338.136) (-1266.395) * (-1359.287) [-1261.115] (-1338.081) (-1286.074) -- 0:10:15
302000 -- (-1279.812) (-1319.081) (-1337.114) [-1275.446] * (-1353.459) [-1281.377] (-1331.320) (-1284.382) -- 0:10:14
303000 -- (-1277.338) (-1322.861) (-1326.408) [-1286.305] * (-1354.302) [-1263.522] (-1329.412) (-1282.712) -- 0:10:14
304000 -- [-1273.290] (-1331.806) (-1320.698) (-1274.834) * (-1330.564) [-1258.079] (-1325.306) (-1279.170) -- 0:10:13
305000 -- [-1267.041] (-1329.551) (-1328.243) (-1305.559) * (-1324.083) [-1251.823] (-1320.721) (-1273.379) -- 0:10:12
Average standard deviation of split frequencies: 0.026665
306000 -- [-1270.789] (-1339.229) (-1343.770) (-1300.688) * (-1335.492) [-1257.498] (-1335.043) (-1273.494) -- 0:10:12
307000 -- [-1262.131] (-1324.817) (-1355.132) (-1298.661) * (-1333.511) [-1248.231] (-1335.939) (-1288.415) -- 0:10:11
308000 -- [-1287.875] (-1326.240) (-1340.597) (-1292.500) * (-1342.805) [-1253.322] (-1336.627) (-1286.799) -- 0:10:08
309000 -- [-1275.749] (-1331.879) (-1347.265) (-1309.547) * (-1341.653) [-1255.719] (-1327.368) (-1278.425) -- 0:10:08
310000 -- [-1270.194] (-1324.578) (-1340.864) (-1310.505) * (-1337.081) [-1250.597] (-1331.668) (-1270.788) -- 0:10:07
Average standard deviation of split frequencies: 0.025599
311000 -- [-1271.929] (-1339.082) (-1361.444) (-1301.289) * (-1330.615) [-1263.928] (-1337.009) (-1281.203) -- 0:10:07
312000 -- [-1276.096] (-1330.146) (-1343.003) (-1298.183) * (-1325.270) [-1261.490] (-1355.543) (-1282.730) -- 0:10:06
313000 -- [-1279.928] (-1337.731) (-1335.156) (-1303.303) * (-1332.200) [-1268.223] (-1329.627) (-1295.309) -- 0:10:05
314000 -- [-1277.947] (-1349.206) (-1322.916) (-1293.665) * (-1336.246) [-1272.878] (-1340.325) (-1284.218) -- 0:10:05
315000 -- [-1278.102] (-1355.625) (-1314.327) (-1284.746) * (-1339.071) [-1266.307] (-1346.754) (-1296.171) -- 0:10:02
Average standard deviation of split frequencies: 0.024587
316000 -- (-1263.444) (-1347.244) (-1324.591) [-1273.274] * (-1325.520) (-1286.888) (-1337.848) [-1297.021] -- 0:10:01
317000 -- [-1265.547] (-1342.258) (-1330.919) (-1271.900) * (-1324.561) [-1279.280] (-1357.335) (-1296.786) -- 0:10:01
318000 -- [-1267.187] (-1338.912) (-1347.613) (-1312.751) * (-1329.542) [-1279.865] (-1345.486) (-1286.217) -- 0:10:00
319000 -- [-1265.882] (-1324.525) (-1348.817) (-1313.861) * (-1330.537) (-1284.838) (-1354.962) [-1268.619] -- 0:09:59
320000 -- [-1274.213] (-1323.728) (-1349.574) (-1289.229) * (-1329.396) [-1277.164] (-1370.857) (-1281.604) -- 0:09:59
Average standard deviation of split frequencies: 0.023521
321000 -- [-1263.286] (-1323.282) (-1372.291) (-1289.828) * (-1335.278) [-1279.965] (-1353.560) (-1290.928) -- 0:09:58
322000 -- [-1255.514] (-1327.508) (-1363.022) (-1279.293) * (-1334.424) [-1277.516] (-1353.486) (-1294.117) -- 0:09:57
323000 -- [-1265.806] (-1330.543) (-1342.483) (-1278.961) * (-1341.164) [-1262.426] (-1331.384) (-1295.295) -- 0:09:57
324000 -- [-1280.866] (-1331.889) (-1358.261) (-1282.057) * (-1338.405) [-1267.851] (-1344.081) (-1292.244) -- 0:09:54
325000 -- [-1267.897] (-1333.835) (-1369.330) (-1289.596) * (-1328.723) [-1268.407] (-1339.573) (-1306.299) -- 0:09:54
Average standard deviation of split frequencies: 0.023297
326000 -- [-1270.891] (-1331.135) (-1368.976) (-1312.352) * (-1326.157) [-1282.631] (-1330.151) (-1301.730) -- 0:09:53
327000 -- [-1264.003] (-1337.184) (-1352.946) (-1310.741) * (-1338.531) [-1262.865] (-1328.743) (-1289.740) -- 0:09:52
328000 -- [-1262.890] (-1351.463) (-1350.151) (-1290.484) * (-1324.245) [-1258.956] (-1337.213) (-1267.713) -- 0:09:52
329000 -- [-1260.358] (-1341.374) (-1354.968) (-1280.003) * (-1318.357) [-1258.043] (-1346.195) (-1280.620) -- 0:09:51
330000 -- [-1267.931] (-1328.196) (-1350.864) (-1297.726) * (-1324.202) [-1252.354] (-1321.958) (-1290.490) -- 0:09:50
Average standard deviation of split frequencies: 0.022732
331000 -- [-1269.160] (-1336.535) (-1349.653) (-1290.394) * (-1327.323) [-1265.091] (-1353.567) (-1295.361) -- 0:09:50
332000 -- [-1263.838] (-1335.911) (-1341.616) (-1279.618) * (-1344.940) [-1258.392] (-1342.771) (-1291.089) -- 0:09:49
333000 -- [-1276.062] (-1325.917) (-1339.207) (-1286.797) * (-1348.445) [-1267.101] (-1325.705) (-1281.750) -- 0:09:48
334000 -- [-1273.019] (-1326.497) (-1348.466) (-1275.980) * (-1347.376) [-1276.382] (-1323.812) (-1281.040) -- 0:09:46
335000 -- [-1267.736] (-1338.481) (-1351.853) (-1275.456) * (-1357.955) [-1287.266] (-1325.764) (-1301.672) -- 0:09:45
Average standard deviation of split frequencies: 0.021657
336000 -- [-1267.591] (-1359.007) (-1340.016) (-1274.008) * (-1340.557) [-1285.643] (-1327.639) (-1306.148) -- 0:09:44
337000 -- (-1269.107) (-1332.883) (-1349.031) [-1269.929] * (-1345.879) [-1282.766] (-1323.372) (-1296.879) -- 0:09:44
338000 -- (-1279.134) (-1333.770) (-1353.370) [-1265.253] * (-1362.282) [-1261.374] (-1332.746) (-1292.026) -- 0:09:43
339000 -- [-1277.810] (-1326.839) (-1368.040) (-1270.772) * (-1347.001) [-1256.083] (-1360.892) (-1301.601) -- 0:09:43
340000 -- (-1288.524) (-1323.890) (-1357.812) [-1265.416] * (-1357.803) [-1257.044] (-1340.393) (-1281.382) -- 0:09:42
Average standard deviation of split frequencies: 0.022192
341000 -- (-1287.209) (-1338.226) (-1361.762) [-1272.161] * (-1378.365) [-1254.531] (-1314.549) (-1277.699) -- 0:09:41
342000 -- [-1274.354] (-1327.945) (-1357.913) (-1289.411) * (-1353.875) [-1262.341] (-1317.412) (-1283.122) -- 0:09:41
343000 -- (-1274.271) (-1339.167) (-1346.918) [-1271.261] * (-1356.296) [-1274.743] (-1316.037) (-1275.781) -- 0:09:38
344000 -- (-1264.638) (-1330.637) (-1346.897) [-1273.143] * (-1381.234) [-1265.453] (-1323.634) (-1285.118) -- 0:09:37
345000 -- (-1267.554) (-1323.254) (-1344.456) [-1276.056] * (-1355.287) [-1259.968] (-1340.312) (-1283.948) -- 0:09:37
Average standard deviation of split frequencies: 0.021045
346000 -- [-1269.970] (-1311.876) (-1342.122) (-1286.215) * (-1361.972) [-1268.384] (-1335.144) (-1291.372) -- 0:09:36
347000 -- [-1262.118] (-1329.810) (-1348.194) (-1284.630) * (-1352.660) [-1251.272] (-1343.374) (-1284.747) -- 0:09:35
348000 -- (-1282.906) (-1327.134) (-1329.297) [-1269.330] * (-1334.766) (-1280.049) (-1337.855) [-1273.196] -- 0:09:35
349000 -- [-1275.464] (-1341.927) (-1341.432) (-1274.470) * (-1345.088) [-1271.046] (-1337.297) (-1295.284) -- 0:09:34
350000 -- [-1280.434] (-1344.739) (-1330.617) (-1284.469) * (-1346.498) [-1277.625] (-1338.947) (-1297.745) -- 0:09:33
Average standard deviation of split frequencies: 0.020165
351000 -- [-1285.936] (-1350.154) (-1335.988) (-1274.309) * (-1336.780) [-1275.575] (-1326.036) (-1268.384) -- 0:09:33
352000 -- [-1270.735] (-1341.909) (-1321.633) (-1280.432) * (-1333.550) [-1272.296] (-1340.294) (-1299.698) -- 0:09:30
353000 -- [-1277.542] (-1358.062) (-1342.243) (-1289.227) * (-1332.013) [-1287.581] (-1335.965) (-1288.209) -- 0:09:30
354000 -- [-1264.369] (-1348.532) (-1339.025) (-1287.997) * (-1325.649) [-1279.203] (-1365.580) (-1294.869) -- 0:09:29
355000 -- [-1259.244] (-1345.744) (-1342.187) (-1288.431) * (-1347.739) [-1277.885] (-1344.015) (-1291.431) -- 0:09:28
Average standard deviation of split frequencies: 0.019768
356000 -- [-1258.374] (-1341.538) (-1329.160) (-1280.677) * (-1358.493) [-1267.756] (-1352.596) (-1281.978) -- 0:09:28
357000 -- [-1272.672] (-1344.668) (-1330.529) (-1289.008) * (-1350.508) [-1265.125] (-1369.386) (-1288.838) -- 0:09:27
358000 -- [-1282.547] (-1339.649) (-1329.318) (-1286.231) * (-1341.877) [-1269.642] (-1344.491) (-1286.472) -- 0:09:26
359000 -- [-1269.845] (-1334.736) (-1341.440) (-1280.248) * (-1340.968) [-1267.917] (-1337.058) (-1290.492) -- 0:09:26
360000 -- [-1262.720] (-1330.539) (-1352.714) (-1276.542) * (-1348.589) [-1263.756] (-1340.243) (-1294.839) -- 0:09:25
Average standard deviation of split frequencies: 0.020223
361000 -- [-1267.495] (-1341.501) (-1351.789) (-1280.351) * (-1344.731) [-1273.685] (-1337.965) (-1292.797) -- 0:09:24
362000 -- [-1274.694] (-1336.149) (-1343.159) (-1280.481) * (-1345.798) (-1269.939) (-1340.523) [-1286.503] -- 0:09:22
363000 -- (-1285.719) (-1331.567) (-1367.400) [-1268.515] * (-1360.710) [-1265.939] (-1337.231) (-1286.148) -- 0:09:21
364000 -- (-1274.351) (-1334.671) (-1342.446) [-1271.260] * (-1365.751) [-1252.328] (-1320.831) (-1289.076) -- 0:09:20
365000 -- [-1266.022] (-1333.312) (-1327.391) (-1280.809) * (-1349.565) [-1255.572] (-1321.164) (-1279.990) -- 0:09:20
Average standard deviation of split frequencies: 0.019343
366000 -- (-1272.768) (-1323.281) (-1328.504) [-1271.931] * (-1353.624) [-1271.745] (-1325.036) (-1283.158) -- 0:09:19
367000 -- (-1271.880) (-1325.199) (-1339.312) [-1274.162] * (-1359.782) [-1272.324] (-1335.313) (-1285.567) -- 0:09:18
368000 -- (-1283.070) (-1331.588) (-1340.331) [-1279.389] * (-1341.589) [-1272.433] (-1338.057) (-1294.948) -- 0:09:18
369000 -- (-1277.526) (-1332.419) (-1363.744) [-1263.674] * (-1350.247) [-1273.074] (-1330.880) (-1282.955) -- 0:09:17
370000 -- [-1263.434] (-1343.117) (-1333.897) (-1282.355) * (-1347.187) [-1283.677] (-1329.974) (-1278.953) -- 0:09:16
Average standard deviation of split frequencies: 0.020140
371000 -- [-1255.780] (-1349.246) (-1341.186) (-1279.218) * (-1339.938) [-1269.591] (-1327.910) (-1274.170) -- 0:09:16
372000 -- [-1273.336] (-1318.344) (-1324.515) (-1261.940) * (-1333.276) [-1263.955] (-1328.092) (-1280.934) -- 0:09:13
373000 -- (-1286.114) (-1321.668) (-1340.534) [-1254.289] * (-1346.125) [-1277.318] (-1334.717) (-1293.462) -- 0:09:13
374000 -- (-1282.935) (-1316.293) (-1344.280) [-1266.001] * (-1346.849) (-1267.809) (-1323.769) [-1277.325] -- 0:09:12
375000 -- (-1282.492) (-1328.564) (-1351.391) [-1263.500] * (-1352.179) [-1269.772] (-1311.486) (-1264.052) -- 0:09:11
Average standard deviation of split frequencies: 0.020292
376000 -- (-1281.214) (-1327.276) (-1353.307) [-1269.623] * (-1354.560) [-1261.679] (-1335.840) (-1288.291) -- 0:09:10
377000 -- (-1284.915) (-1335.906) (-1350.925) [-1264.580] * (-1350.548) [-1262.728] (-1324.580) (-1281.885) -- 0:09:10
378000 -- (-1282.497) (-1321.734) (-1344.101) [-1271.700] * (-1342.029) [-1260.084] (-1319.517) (-1276.029) -- 0:09:09
379000 -- (-1292.901) (-1332.665) (-1359.589) [-1266.093] * (-1357.628) [-1262.922] (-1323.103) (-1271.141) -- 0:09:08
380000 -- (-1295.455) (-1334.879) (-1349.553) [-1271.674] * (-1337.138) (-1269.274) (-1346.485) [-1276.056] -- 0:09:06
Average standard deviation of split frequencies: 0.020016
381000 -- (-1272.145) (-1340.758) (-1331.266) [-1271.571] * (-1336.702) [-1267.187] (-1341.885) (-1294.558) -- 0:09:05
382000 -- (-1277.499) (-1334.683) (-1329.130) [-1264.266] * (-1330.894) [-1261.611] (-1364.181) (-1303.586) -- 0:09:05
383000 -- [-1281.241] (-1342.268) (-1344.471) (-1267.516) * (-1331.334) [-1263.163] (-1343.382) (-1291.770) -- 0:09:04
384000 -- [-1278.575] (-1346.280) (-1339.967) (-1294.572) * (-1324.239) [-1264.053] (-1353.429) (-1306.042) -- 0:09:03
385000 -- [-1266.907] (-1326.227) (-1349.777) (-1292.199) * (-1337.430) [-1274.284] (-1349.807) (-1295.538) -- 0:09:03
Average standard deviation of split frequencies: 0.019540
386000 -- [-1257.734] (-1321.492) (-1355.906) (-1299.472) * (-1332.714) [-1269.039] (-1338.052) (-1293.487) -- 0:09:02
387000 -- (-1266.844) (-1323.347) (-1327.954) [-1278.461] * (-1324.274) [-1268.080] (-1338.304) (-1294.808) -- 0:09:01
388000 -- [-1253.064] (-1316.458) (-1339.941) (-1273.811) * (-1332.717) [-1264.161] (-1344.367) (-1293.375) -- 0:08:59
389000 -- [-1255.034] (-1322.086) (-1333.953) (-1280.101) * (-1345.890) [-1258.478] (-1324.277) (-1285.038) -- 0:08:58
390000 -- [-1270.644] (-1319.019) (-1329.094) (-1283.990) * (-1359.389) (-1277.588) (-1333.204) [-1280.409] -- 0:08:58
Average standard deviation of split frequencies: 0.019709
391000 -- (-1273.426) (-1340.323) (-1340.149) [-1279.233] * (-1362.852) [-1261.253] (-1334.305) (-1291.442) -- 0:08:57
392000 -- (-1264.502) (-1324.286) (-1347.582) [-1264.480] * (-1377.762) [-1266.588] (-1326.382) (-1271.463) -- 0:08:56
393000 -- [-1255.833] (-1321.850) (-1328.307) (-1283.756) * (-1350.179) [-1274.366] (-1326.715) (-1268.938) -- 0:08:55
394000 -- [-1262.997] (-1328.559) (-1346.865) (-1267.122) * (-1346.884) [-1283.538] (-1348.167) (-1271.233) -- 0:08:55
395000 -- (-1262.913) (-1323.412) (-1342.713) [-1265.252] * (-1358.394) [-1269.317] (-1344.387) (-1273.750) -- 0:08:53
Average standard deviation of split frequencies: 0.019566
396000 -- (-1278.929) (-1322.386) (-1324.479) [-1270.493] * (-1348.970) [-1264.339] (-1339.747) (-1282.630) -- 0:08:52
397000 -- [-1263.642] (-1331.566) (-1330.409) (-1274.228) * (-1363.088) [-1274.109] (-1330.141) (-1283.960) -- 0:08:51
398000 -- [-1259.143] (-1339.515) (-1341.358) (-1274.222) * (-1349.249) [-1270.183] (-1337.548) (-1290.048) -- 0:08:50
399000 -- (-1270.186) (-1348.967) (-1345.947) [-1267.269] * (-1355.714) [-1261.680] (-1336.950) (-1276.478) -- 0:08:50
400000 -- [-1263.352] (-1333.357) (-1340.743) (-1273.669) * (-1354.039) [-1265.913] (-1339.723) (-1272.916) -- 0:08:49
Average standard deviation of split frequencies: 0.019253
401000 -- [-1267.812] (-1323.136) (-1339.464) (-1284.710) * (-1348.960) [-1273.355] (-1352.052) (-1286.035) -- 0:08:48
402000 -- [-1264.567] (-1340.229) (-1351.213) (-1296.978) * (-1337.212) [-1275.510] (-1352.172) (-1282.961) -- 0:08:48
403000 -- [-1255.810] (-1335.858) (-1335.035) (-1302.951) * (-1358.683) [-1276.194] (-1347.670) (-1301.420) -- 0:08:45
404000 -- [-1267.304] (-1345.732) (-1341.497) (-1299.361) * (-1347.355) [-1269.089] (-1341.308) (-1291.024) -- 0:08:45
405000 -- [-1272.491] (-1332.575) (-1334.867) (-1291.653) * (-1377.963) [-1263.347] (-1342.963) (-1296.924) -- 0:08:44
Average standard deviation of split frequencies: 0.018495
406000 -- [-1263.385] (-1347.271) (-1335.470) (-1292.444) * (-1353.083) [-1260.561] (-1344.542) (-1281.307) -- 0:08:43
407000 -- [-1266.977] (-1346.050) (-1338.405) (-1294.056) * (-1353.097) [-1272.454] (-1364.631) (-1294.176) -- 0:08:43
408000 -- [-1264.708] (-1331.515) (-1344.350) (-1277.605) * (-1343.152) [-1266.869] (-1354.328) (-1292.785) -- 0:08:42
409000 -- [-1265.962] (-1326.562) (-1345.916) (-1295.925) * (-1355.191) [-1270.031] (-1337.558) (-1295.923) -- 0:08:41
410000 -- [-1257.480] (-1327.497) (-1339.109) (-1289.609) * (-1361.599) [-1261.978] (-1336.439) (-1280.688) -- 0:08:40
Average standard deviation of split frequencies: 0.018612
411000 -- [-1276.250] (-1325.440) (-1339.233) (-1306.647) * (-1351.254) [-1263.367] (-1339.753) (-1290.743) -- 0:08:40
412000 -- [-1263.621] (-1322.332) (-1344.388) (-1307.223) * (-1359.410) [-1261.030] (-1332.906) (-1279.604) -- 0:08:39
413000 -- [-1284.025] (-1316.304) (-1340.280) (-1312.581) * (-1365.930) [-1268.267] (-1338.739) (-1292.168) -- 0:08:38
414000 -- [-1290.646] (-1331.723) (-1347.803) (-1306.584) * (-1358.583) [-1253.366] (-1340.412) (-1287.201) -- 0:08:36
415000 -- [-1275.474] (-1312.701) (-1325.783) (-1320.505) * (-1371.801) [-1264.063] (-1351.481) (-1283.041) -- 0:08:35
Average standard deviation of split frequencies: 0.019553
416000 -- [-1265.502] (-1320.487) (-1329.837) (-1300.253) * (-1348.164) [-1261.056] (-1354.330) (-1299.374) -- 0:08:35
417000 -- [-1272.277] (-1321.092) (-1330.644) (-1288.040) * (-1349.949) [-1272.349] (-1343.898) (-1304.910) -- 0:08:34
418000 -- [-1284.846] (-1306.005) (-1333.332) (-1296.662) * (-1355.451) [-1261.406] (-1321.371) (-1284.871) -- 0:08:33
419000 -- (-1288.649) (-1323.438) (-1333.340) [-1299.040] * (-1348.527) [-1253.191] (-1316.173) (-1282.586) -- 0:08:33
420000 -- [-1279.653] (-1329.334) (-1334.547) (-1278.740) * (-1349.697) [-1264.553] (-1327.713) (-1289.146) -- 0:08:32
Average standard deviation of split frequencies: 0.019652
421000 -- [-1294.726] (-1328.724) (-1338.644) (-1290.567) * (-1342.947) [-1269.110] (-1337.768) (-1288.469) -- 0:08:31
422000 -- [-1278.460] (-1318.919) (-1336.259) (-1291.527) * (-1345.548) [-1263.687] (-1333.952) (-1289.544) -- 0:08:30
423000 -- [-1267.293] (-1318.529) (-1342.503) (-1300.389) * (-1349.616) [-1263.836] (-1340.443) (-1276.944) -- 0:08:28
424000 -- [-1266.879] (-1320.009) (-1356.216) (-1271.975) * (-1345.362) [-1254.208] (-1323.284) (-1296.194) -- 0:08:28
425000 -- [-1262.308] (-1343.259) (-1360.700) (-1275.508) * (-1343.296) [-1256.413] (-1327.282) (-1295.448) -- 0:08:27
Average standard deviation of split frequencies: 0.020226
426000 -- [-1278.149] (-1342.928) (-1349.584) (-1294.310) * (-1344.954) [-1266.114] (-1328.604) (-1282.685) -- 0:08:26
427000 -- [-1263.999] (-1338.820) (-1343.260) (-1289.445) * (-1344.104) [-1266.304] (-1322.570) (-1286.525) -- 0:08:25
428000 -- [-1269.342] (-1326.019) (-1343.216) (-1294.937) * (-1347.428) [-1265.701] (-1322.483) (-1277.369) -- 0:08:25
429000 -- (-1268.292) (-1324.186) (-1366.923) [-1271.462] * (-1355.812) [-1271.638] (-1331.262) (-1275.989) -- 0:08:24
430000 -- [-1261.024] (-1312.659) (-1359.224) (-1274.754) * (-1348.293) [-1265.795] (-1323.415) (-1290.060) -- 0:08:23
Average standard deviation of split frequencies: 0.020487
431000 -- [-1271.254] (-1327.544) (-1333.257) (-1285.696) * (-1324.111) [-1276.961] (-1330.091) (-1296.611) -- 0:08:22
432000 -- (-1270.407) (-1313.523) (-1338.642) [-1270.497] * (-1329.910) [-1284.648] (-1332.312) (-1303.984) -- 0:08:22
433000 -- (-1281.345) (-1319.435) (-1320.874) [-1262.239] * (-1343.046) [-1284.338] (-1326.133) (-1278.959) -- 0:08:20
434000 -- (-1271.861) (-1332.725) (-1356.056) [-1267.779] * (-1331.769) [-1283.842] (-1315.010) (-1282.767) -- 0:08:19
435000 -- [-1269.093] (-1345.249) (-1352.560) (-1267.910) * (-1343.781) [-1265.126] (-1329.863) (-1297.343) -- 0:08:18
Average standard deviation of split frequencies: 0.020869
436000 -- [-1266.657] (-1335.686) (-1337.562) (-1276.314) * (-1330.311) [-1253.376] (-1336.877) (-1283.493) -- 0:08:18
437000 -- [-1264.496] (-1350.299) (-1324.909) (-1273.019) * (-1327.417) [-1252.914] (-1324.769) (-1288.767) -- 0:08:17
438000 -- [-1273.082] (-1349.356) (-1329.041) (-1276.195) * (-1318.532) [-1262.262] (-1338.869) (-1293.931) -- 0:08:16
439000 -- (-1266.184) (-1353.788) (-1335.838) [-1261.219] * (-1324.298) [-1262.026] (-1341.295) (-1289.662) -- 0:08:15
440000 -- [-1268.860] (-1325.584) (-1334.067) (-1262.129) * (-1342.678) [-1266.278] (-1346.298) (-1280.224) -- 0:08:15
Average standard deviation of split frequencies: 0.020648
441000 -- [-1266.094] (-1334.429) (-1343.143) (-1256.332) * (-1327.644) [-1267.720] (-1331.630) (-1286.519) -- 0:08:14
442000 -- (-1278.975) (-1318.083) (-1356.636) [-1260.450] * (-1355.302) (-1279.069) (-1320.551) [-1282.205] -- 0:08:13
443000 -- (-1279.106) (-1328.885) (-1333.112) [-1264.583] * (-1346.555) [-1282.122] (-1322.675) (-1278.009) -- 0:08:11
444000 -- (-1290.506) (-1327.373) (-1330.894) [-1257.668] * (-1356.711) [-1268.192] (-1336.365) (-1278.913) -- 0:08:10
445000 -- (-1298.449) (-1331.446) (-1350.776) [-1268.564] * (-1362.125) (-1269.980) (-1323.825) [-1270.807] -- 0:08:10
Average standard deviation of split frequencies: 0.020043
446000 -- (-1303.208) (-1322.828) (-1339.554) [-1274.086] * (-1342.862) [-1260.079] (-1334.262) (-1269.520) -- 0:08:09
447000 -- (-1305.562) (-1319.738) (-1353.133) [-1265.300] * (-1336.844) (-1281.654) (-1352.113) [-1266.651] -- 0:08:08
448000 -- (-1295.040) (-1306.437) (-1341.875) [-1275.814] * (-1324.774) (-1281.156) (-1358.509) [-1258.589] -- 0:08:07
449000 -- (-1288.832) (-1317.388) (-1333.356) [-1267.985] * (-1314.739) (-1278.128) (-1360.837) [-1256.799] -- 0:08:07
450000 -- (-1295.265) (-1315.263) (-1353.744) [-1278.425] * (-1342.958) (-1274.268) (-1358.658) [-1262.817] -- 0:08:06
Average standard deviation of split frequencies: 0.019293
451000 -- (-1291.949) (-1315.283) (-1342.290) [-1276.362] * (-1348.022) (-1275.033) (-1347.159) [-1258.296] -- 0:08:05
452000 -- (-1287.210) (-1318.701) (-1350.946) [-1284.778] * (-1346.370) (-1276.146) (-1344.502) [-1251.826] -- 0:08:03
453000 -- [-1270.491] (-1324.939) (-1350.973) (-1283.150) * (-1331.669) (-1275.656) (-1353.119) [-1259.924] -- 0:08:03
454000 -- (-1278.821) (-1333.581) (-1349.711) [-1261.055] * (-1332.662) (-1288.179) (-1343.722) [-1253.425] -- 0:08:02
455000 -- [-1276.522] (-1320.499) (-1356.071) (-1268.638) * (-1333.212) (-1292.186) (-1332.957) [-1250.317] -- 0:08:01
Average standard deviation of split frequencies: 0.019642
456000 -- (-1267.338) (-1320.259) (-1365.676) [-1269.246] * (-1328.610) (-1314.863) (-1346.669) [-1255.749] -- 0:08:00
457000 -- (-1284.687) (-1321.328) (-1365.035) [-1268.793] * (-1333.388) (-1297.745) (-1345.558) [-1254.999] -- 0:08:00
458000 -- (-1272.790) (-1322.775) (-1353.358) [-1261.184] * (-1330.791) (-1299.644) (-1356.847) [-1255.802] -- 0:07:59
459000 -- [-1259.656] (-1314.968) (-1334.140) (-1265.006) * (-1336.646) (-1263.076) (-1351.359) [-1263.406] -- 0:07:58
460000 -- (-1278.930) (-1312.987) (-1330.212) [-1256.910] * (-1345.707) (-1268.646) (-1342.436) [-1265.274] -- 0:07:56
Average standard deviation of split frequencies: 0.019288
461000 -- (-1275.763) (-1315.756) (-1353.153) [-1254.845] * (-1328.141) (-1299.715) (-1338.870) [-1262.083] -- 0:07:55
462000 -- (-1288.234) (-1318.569) (-1341.715) [-1265.056] * (-1332.347) (-1299.557) (-1333.758) [-1275.121] -- 0:07:55
463000 -- (-1284.605) (-1320.017) (-1321.891) [-1263.721] * (-1327.946) (-1299.375) (-1333.004) [-1264.861] -- 0:07:54
464000 -- (-1286.295) (-1325.236) (-1321.677) [-1272.659] * (-1318.240) (-1306.666) (-1348.016) [-1268.871] -- 0:07:53
465000 -- (-1304.610) (-1328.843) (-1328.052) [-1249.052] * (-1335.085) (-1291.560) (-1351.362) [-1259.227] -- 0:07:52
Average standard deviation of split frequencies: 0.019507
466000 -- (-1283.760) (-1331.775) (-1321.891) [-1250.751] * (-1328.364) (-1297.875) (-1351.787) [-1259.797] -- 0:07:52
467000 -- (-1293.688) (-1340.043) (-1333.965) [-1256.648] * (-1351.837) (-1288.930) (-1344.607) [-1267.432] -- 0:07:51
468000 -- (-1295.550) (-1351.429) (-1328.480) [-1280.028] * (-1356.775) (-1297.399) (-1335.917) [-1258.653] -- 0:07:49
469000 -- (-1297.302) (-1341.633) (-1321.181) [-1278.276] * (-1339.387) (-1290.682) (-1351.008) [-1269.061] -- 0:07:48
470000 -- (-1312.287) (-1330.351) (-1315.804) [-1284.931] * (-1341.381) (-1285.948) (-1325.116) [-1271.617] -- 0:07:47
Average standard deviation of split frequencies: 0.019049
471000 -- (-1309.801) (-1335.088) (-1323.537) [-1289.001] * (-1345.750) (-1273.940) (-1339.747) [-1264.898] -- 0:07:47
472000 -- (-1286.891) (-1333.321) (-1322.273) [-1271.427] * (-1345.391) [-1274.779] (-1345.529) (-1278.723) -- 0:07:46
473000 -- (-1293.747) (-1330.411) (-1335.666) [-1275.861] * (-1336.714) [-1262.713] (-1353.102) (-1280.800) -- 0:07:45
474000 -- (-1300.948) (-1355.704) (-1343.375) [-1273.506] * (-1337.763) [-1280.833] (-1332.253) (-1287.621) -- 0:07:44
475000 -- (-1309.656) (-1328.353) (-1334.616) [-1279.282] * (-1332.302) [-1260.094] (-1337.011) (-1297.360) -- 0:07:44
Average standard deviation of split frequencies: 0.018721
476000 -- (-1308.085) (-1348.283) (-1359.550) [-1261.825] * (-1326.492) [-1261.298] (-1318.965) (-1272.368) -- 0:07:42
477000 -- (-1323.522) (-1338.934) (-1336.389) [-1257.578] * (-1330.098) [-1265.933] (-1325.488) (-1275.414) -- 0:07:41
478000 -- (-1319.475) (-1350.096) (-1337.129) [-1268.936] * (-1331.754) [-1284.552] (-1344.859) (-1277.175) -- 0:07:40
479000 -- (-1304.032) (-1341.716) (-1326.099) [-1265.463] * (-1343.033) [-1282.470] (-1346.276) (-1274.524) -- 0:07:40
480000 -- (-1301.488) (-1354.707) (-1331.611) [-1254.430] * (-1323.296) (-1288.111) (-1359.771) [-1276.898] -- 0:07:39
Average standard deviation of split frequencies: 0.018540
481000 -- (-1299.003) (-1346.197) (-1347.510) [-1253.630] * (-1320.889) [-1267.010] (-1334.285) (-1284.793) -- 0:07:38
482000 -- (-1293.330) (-1359.801) (-1353.896) [-1270.156] * (-1325.252) [-1254.401] (-1343.010) (-1285.959) -- 0:07:37
483000 -- (-1287.423) (-1339.526) (-1342.671) [-1283.007] * (-1342.349) [-1258.144] (-1346.159) (-1305.142) -- 0:07:37
484000 -- (-1303.680) (-1349.742) (-1351.838) [-1256.502] * (-1352.866) [-1255.500] (-1351.032) (-1302.557) -- 0:07:35
485000 -- (-1310.997) (-1335.609) (-1343.511) [-1262.659] * (-1348.188) [-1265.846] (-1351.484) (-1302.454) -- 0:07:34
Average standard deviation of split frequencies: 0.017971
486000 -- (-1282.140) (-1331.544) (-1346.826) [-1271.542] * (-1344.539) [-1264.996] (-1355.641) (-1292.408) -- 0:07:33
487000 -- (-1290.496) (-1326.822) (-1336.237) [-1266.599] * (-1324.542) [-1252.450] (-1339.410) (-1282.691) -- 0:07:32
488000 -- (-1271.429) (-1334.916) (-1335.752) [-1266.894] * (-1335.092) [-1259.099] (-1338.396) (-1290.036) -- 0:07:32
489000 -- (-1280.809) (-1348.788) (-1334.491) [-1267.793] * (-1332.414) [-1261.570] (-1332.402) (-1289.973) -- 0:07:31
490000 -- (-1297.090) (-1329.618) (-1337.158) [-1264.807] * (-1338.443) [-1260.433] (-1324.227) (-1297.615) -- 0:07:30
Average standard deviation of split frequencies: 0.017782
491000 -- (-1279.776) (-1333.945) (-1337.174) [-1273.936] * (-1329.539) [-1268.072] (-1350.384) (-1290.296) -- 0:07:29
492000 -- (-1278.111) (-1332.228) (-1340.531) [-1260.257] * (-1336.974) [-1260.543] (-1352.459) (-1295.128) -- 0:07:29
493000 -- (-1278.477) (-1321.566) (-1341.237) [-1267.967] * (-1327.894) [-1271.059] (-1359.820) (-1301.206) -- 0:07:28
494000 -- (-1287.258) (-1322.258) (-1329.760) [-1258.694] * (-1336.529) [-1266.010] (-1354.600) (-1309.183) -- 0:07:26
495000 -- (-1274.906) (-1348.947) (-1325.408) [-1254.742] * (-1345.807) [-1275.995] (-1345.005) (-1294.402) -- 0:07:25
Average standard deviation of split frequencies: 0.017712
496000 -- (-1299.887) (-1347.368) (-1332.114) [-1252.027] * (-1330.245) [-1270.407] (-1332.608) (-1286.302) -- 0:07:25
497000 -- (-1285.967) (-1347.047) (-1327.039) [-1268.170] * (-1333.064) [-1283.340] (-1345.622) (-1314.166) -- 0:07:24
498000 -- (-1295.175) (-1343.986) (-1328.806) [-1262.820] * (-1346.895) [-1272.610] (-1327.513) (-1296.453) -- 0:07:23
499000 -- (-1280.603) (-1358.732) (-1323.243) [-1266.985] * (-1318.961) [-1278.374] (-1324.487) (-1321.984) -- 0:07:22
500000 -- (-1288.478) (-1335.600) (-1329.580) [-1259.533] * (-1327.056) [-1296.786] (-1343.221) (-1304.146) -- 0:07:22
Average standard deviation of split frequencies: 0.017016
501000 -- (-1289.183) (-1341.408) (-1327.080) [-1272.698] * (-1339.065) [-1268.976] (-1327.751) (-1281.037) -- 0:07:21
502000 -- (-1282.447) (-1347.222) (-1321.327) [-1269.531] * (-1341.847) [-1256.726] (-1335.310) (-1301.726) -- 0:07:20
503000 -- (-1294.631) (-1343.115) (-1342.544) [-1258.909] * (-1328.598) [-1271.038] (-1345.064) (-1293.335) -- 0:07:19
504000 -- (-1294.495) (-1329.976) (-1345.939) [-1264.431] * (-1330.953) [-1268.589] (-1339.227) (-1305.116) -- 0:07:18
505000 -- (-1274.181) (-1321.654) (-1331.473) [-1255.965] * (-1336.615) [-1271.733] (-1327.501) (-1289.579) -- 0:07:17
Average standard deviation of split frequencies: 0.017345
506000 -- (-1288.190) (-1315.958) (-1333.899) [-1258.920] * (-1341.733) [-1258.605] (-1331.678) (-1291.304) -- 0:07:16
507000 -- (-1303.072) (-1311.736) (-1351.439) [-1266.775] * (-1337.004) [-1267.725] (-1329.362) (-1293.980) -- 0:07:15
508000 -- (-1303.577) (-1314.119) (-1361.606) [-1260.317] * (-1335.814) [-1273.480] (-1373.263) (-1287.674) -- 0:07:14
509000 -- (-1299.341) (-1322.711) (-1348.441) [-1262.327] * (-1325.740) [-1267.302] (-1341.402) (-1303.050) -- 0:07:14
510000 -- (-1301.474) (-1329.963) (-1338.266) [-1259.762] * (-1348.457) [-1272.748] (-1330.832) (-1293.465) -- 0:07:13
Average standard deviation of split frequencies: 0.017220
511000 -- (-1295.521) (-1322.774) (-1350.190) [-1257.755] * (-1361.649) [-1261.010] (-1335.010) (-1294.801) -- 0:07:12
512000 -- (-1294.030) (-1323.583) (-1335.716) [-1254.695] * (-1360.390) [-1269.673] (-1335.247) (-1277.998) -- 0:07:11
513000 -- (-1298.009) (-1321.873) (-1342.511) [-1255.161] * (-1368.634) [-1274.127] (-1323.505) (-1281.885) -- 0:07:10
514000 -- (-1285.822) (-1336.004) (-1351.668) [-1279.159] * (-1348.422) [-1271.662] (-1333.245) (-1275.854) -- 0:07:09
515000 -- (-1304.506) (-1352.449) (-1369.467) [-1271.157] * (-1336.895) [-1273.617] (-1332.458) (-1271.398) -- 0:07:08
Average standard deviation of split frequencies: 0.016677
516000 -- (-1280.517) (-1317.265) (-1343.386) [-1267.050] * (-1330.563) (-1267.828) (-1328.649) [-1278.816] -- 0:07:07
517000 -- (-1279.921) (-1317.694) (-1340.682) [-1255.813] * (-1334.902) [-1283.313] (-1318.468) (-1307.906) -- 0:07:06
518000 -- (-1292.227) (-1317.961) (-1349.038) [-1263.977] * (-1340.793) [-1279.728] (-1339.590) (-1301.551) -- 0:07:06
519000 -- (-1305.064) (-1324.900) (-1333.493) [-1282.770] * (-1345.035) [-1273.960] (-1338.214) (-1284.614) -- 0:07:05
520000 -- (-1302.689) (-1323.970) (-1347.156) [-1286.528] * (-1351.289) (-1275.887) (-1331.357) [-1267.892] -- 0:07:04
Average standard deviation of split frequencies: 0.017038
521000 -- (-1287.052) (-1323.707) (-1335.150) [-1271.437] * (-1326.897) [-1285.424] (-1330.871) (-1272.444) -- 0:07:03
522000 -- (-1280.103) (-1326.967) (-1327.771) [-1270.181] * (-1341.920) (-1276.168) (-1318.763) [-1272.022] -- 0:07:03
523000 -- (-1295.070) (-1331.304) (-1350.175) [-1262.039] * (-1339.591) (-1281.717) (-1337.843) [-1256.505] -- 0:07:01
524000 -- (-1291.088) (-1324.927) (-1355.787) [-1271.821] * (-1346.878) (-1276.550) (-1331.390) [-1270.494] -- 0:07:00
525000 -- (-1286.029) (-1328.280) (-1348.033) [-1264.982] * (-1344.899) [-1264.293] (-1333.441) (-1270.340) -- 0:06:59
Average standard deviation of split frequencies: 0.017426
526000 -- (-1290.852) (-1336.816) (-1340.812) [-1263.423] * (-1357.693) [-1260.936] (-1330.883) (-1287.646) -- 0:06:59
527000 -- (-1285.596) (-1322.472) (-1340.890) [-1256.655] * (-1343.197) [-1270.199] (-1321.530) (-1272.271) -- 0:06:58
528000 -- (-1288.490) (-1329.296) (-1343.941) [-1257.838] * (-1343.904) [-1277.476] (-1320.062) (-1270.770) -- 0:06:57
529000 -- (-1283.154) (-1326.775) (-1329.669) [-1262.114] * (-1356.333) (-1278.094) (-1322.912) [-1260.309] -- 0:06:56
530000 -- (-1271.033) (-1330.278) (-1342.266) [-1268.746] * (-1354.581) (-1268.501) (-1316.367) [-1259.444] -- 0:06:55
Average standard deviation of split frequencies: 0.017405
531000 -- (-1280.816) (-1348.920) (-1338.309) [-1267.237] * (-1342.628) (-1294.761) (-1336.695) [-1261.828] -- 0:06:55
532000 -- (-1288.965) (-1336.241) (-1348.186) [-1268.266] * (-1336.424) (-1287.557) (-1343.125) [-1267.388] -- 0:06:53
533000 -- (-1279.654) (-1335.818) (-1347.756) [-1258.997] * (-1356.912) (-1289.913) (-1351.087) [-1274.025] -- 0:06:52
534000 -- (-1271.995) (-1335.403) (-1335.108) [-1251.382] * (-1350.981) (-1280.854) (-1366.311) [-1266.649] -- 0:06:51
535000 -- (-1263.296) (-1339.069) (-1319.642) [-1268.883] * (-1341.869) (-1297.993) (-1348.456) [-1260.305] -- 0:06:51
Average standard deviation of split frequencies: 0.016955
536000 -- [-1268.035] (-1334.275) (-1320.408) (-1265.479) * (-1355.361) (-1288.329) (-1339.012) [-1268.903] -- 0:06:50
537000 -- (-1277.438) (-1325.384) (-1343.604) [-1264.819] * (-1337.203) (-1281.931) (-1325.353) [-1259.179] -- 0:06:49
538000 -- (-1289.489) (-1321.245) (-1356.957) [-1262.489] * (-1346.749) (-1309.412) (-1327.322) [-1262.920] -- 0:06:48
539000 -- (-1286.348) (-1335.842) (-1336.476) [-1270.688] * (-1347.947) (-1299.377) (-1313.260) [-1257.045] -- 0:06:47
540000 -- [-1294.523] (-1348.343) (-1334.715) (-1301.484) * (-1347.223) (-1278.610) (-1322.322) [-1252.881] -- 0:06:46
Average standard deviation of split frequencies: 0.017099
541000 -- [-1270.633] (-1349.177) (-1348.658) (-1283.263) * (-1330.234) (-1275.398) (-1329.993) [-1261.172] -- 0:06:45
542000 -- [-1272.033] (-1337.284) (-1322.701) (-1284.716) * (-1345.654) (-1267.600) (-1317.481) [-1258.850] -- 0:06:44
543000 -- [-1269.953] (-1330.880) (-1324.187) (-1274.332) * (-1353.633) [-1268.598] (-1325.287) (-1264.041) -- 0:06:43
544000 -- [-1275.734] (-1335.611) (-1332.438) (-1267.127) * (-1329.414) [-1259.432] (-1325.692) (-1272.886) -- 0:06:43
545000 -- (-1291.296) (-1349.162) (-1318.666) [-1268.559] * (-1354.268) [-1258.732] (-1321.430) (-1277.869) -- 0:06:42
Average standard deviation of split frequencies: 0.016996
546000 -- (-1293.672) (-1345.946) (-1336.527) [-1264.153] * (-1346.499) [-1254.748] (-1322.938) (-1272.394) -- 0:06:40
547000 -- (-1279.767) (-1355.606) (-1333.086) [-1274.951] * (-1360.110) [-1268.894] (-1327.248) (-1267.107) -- 0:06:39
548000 -- (-1279.778) (-1345.261) (-1337.666) [-1271.162] * (-1353.500) (-1277.699) (-1318.250) [-1264.319] -- 0:06:39
549000 -- (-1268.526) (-1337.292) (-1342.169) [-1253.231] * (-1372.848) (-1274.997) (-1332.258) [-1262.907] -- 0:06:38
550000 -- [-1268.996] (-1324.949) (-1327.587) (-1278.278) * (-1352.234) [-1277.682] (-1336.602) (-1284.417) -- 0:06:37
Average standard deviation of split frequencies: 0.017121
551000 -- (-1270.309) (-1323.454) (-1331.132) [-1266.652] * (-1352.726) [-1274.918] (-1325.673) (-1274.452) -- 0:06:36
552000 -- (-1264.398) (-1338.835) (-1330.476) [-1268.618] * (-1345.928) [-1270.866] (-1328.357) (-1269.575) -- 0:06:36
553000 -- (-1275.265) (-1332.607) (-1342.985) [-1285.145] * (-1350.966) [-1271.143] (-1318.839) (-1265.599) -- 0:06:35
554000 -- (-1274.432) (-1329.072) (-1336.978) [-1272.646] * (-1354.259) (-1277.205) (-1316.948) [-1267.906] -- 0:06:33
555000 -- (-1279.821) (-1336.849) (-1334.234) [-1255.976] * (-1338.520) (-1276.684) (-1312.864) [-1266.963] -- 0:06:32
Average standard deviation of split frequencies: 0.016847
556000 -- (-1280.855) (-1343.558) (-1344.083) [-1255.139] * (-1343.981) [-1283.502] (-1328.679) (-1271.236) -- 0:06:32
557000 -- (-1274.437) (-1342.889) (-1329.027) [-1248.330] * (-1331.448) [-1272.635] (-1331.490) (-1291.356) -- 0:06:31
558000 -- (-1286.122) (-1336.082) (-1327.360) [-1258.051] * (-1335.512) [-1277.515] (-1327.132) (-1296.665) -- 0:06:30
559000 -- (-1290.439) (-1337.074) (-1335.740) [-1265.341] * (-1354.775) [-1281.940] (-1322.697) (-1283.434) -- 0:06:29
560000 -- (-1278.321) (-1335.085) (-1331.098) [-1272.935] * (-1356.096) [-1267.435] (-1324.361) (-1278.140) -- 0:06:28
Average standard deviation of split frequencies: 0.017252
561000 -- (-1293.377) (-1329.362) (-1335.032) [-1261.325] * (-1350.267) [-1269.081] (-1332.017) (-1274.664) -- 0:06:27
562000 -- (-1298.766) (-1333.997) (-1327.671) [-1256.916] * (-1346.156) [-1270.691] (-1325.091) (-1283.671) -- 0:06:26
563000 -- (-1287.726) (-1339.221) (-1341.308) [-1253.556] * (-1331.580) [-1280.869] (-1328.799) (-1275.033) -- 0:06:25
564000 -- (-1297.059) (-1328.175) (-1346.230) [-1253.630] * (-1351.828) [-1263.678] (-1355.416) (-1280.916) -- 0:06:24
565000 -- (-1278.619) (-1324.919) (-1355.545) [-1265.083] * (-1342.754) [-1262.199] (-1335.906) (-1283.244) -- 0:06:24
Average standard deviation of split frequencies: 0.017460
566000 -- [-1256.470] (-1321.166) (-1344.105) (-1265.603) * (-1354.169) [-1272.589] (-1344.277) (-1287.693) -- 0:06:23
567000 -- [-1275.350] (-1334.552) (-1332.125) (-1265.292) * (-1352.385) [-1260.431] (-1317.609) (-1292.439) -- 0:06:22
568000 -- [-1270.491] (-1331.724) (-1354.890) (-1272.487) * (-1354.449) [-1258.768] (-1331.070) (-1284.768) -- 0:06:21
569000 -- (-1271.547) (-1305.592) (-1341.001) [-1265.015] * (-1380.647) [-1271.213] (-1328.672) (-1279.124) -- 0:06:21
570000 -- [-1263.349] (-1308.049) (-1327.094) (-1275.176) * (-1361.753) [-1261.578] (-1340.006) (-1285.298) -- 0:06:20
Average standard deviation of split frequencies: 0.017693
571000 -- [-1274.099] (-1325.134) (-1339.406) (-1272.274) * (-1365.207) [-1264.146] (-1331.025) (-1277.431) -- 0:06:18
572000 -- (-1275.143) (-1317.635) (-1336.504) [-1267.179] * (-1374.066) [-1265.243] (-1330.282) (-1291.805) -- 0:06:17
573000 -- (-1287.505) (-1338.660) (-1326.031) [-1264.380] * (-1354.925) [-1274.831] (-1338.304) (-1300.060) -- 0:06:17
574000 -- (-1280.472) (-1348.346) (-1323.093) [-1263.677] * (-1358.125) [-1278.978] (-1343.671) (-1291.391) -- 0:06:16
575000 -- (-1289.072) (-1334.073) (-1337.279) [-1260.916] * (-1348.047) [-1255.893] (-1328.909) (-1299.040) -- 0:06:15
Average standard deviation of split frequencies: 0.017702
576000 -- [-1283.567] (-1340.417) (-1343.155) (-1273.494) * (-1362.286) [-1258.418] (-1320.140) (-1287.697) -- 0:06:14
577000 -- (-1287.874) (-1349.119) (-1338.810) [-1267.907] * (-1361.827) [-1274.588] (-1337.499) (-1272.513) -- 0:06:13
578000 -- (-1290.166) (-1338.220) (-1348.189) [-1258.867] * (-1369.031) [-1259.218] (-1344.841) (-1270.327) -- 0:06:13
579000 -- (-1289.626) (-1329.778) (-1357.110) [-1263.535] * (-1374.842) [-1265.122] (-1343.598) (-1273.071) -- 0:06:12
580000 -- (-1286.645) (-1320.673) (-1362.849) [-1257.781] * (-1375.689) [-1259.168] (-1351.002) (-1279.802) -- 0:06:11
Average standard deviation of split frequencies: 0.017875
581000 -- (-1295.772) (-1326.008) (-1353.546) [-1261.954] * (-1364.187) [-1261.845] (-1343.268) (-1281.126) -- 0:06:09
582000 -- (-1270.666) (-1324.592) (-1354.190) [-1269.009] * (-1358.500) [-1253.812] (-1335.565) (-1284.496) -- 0:06:09
583000 -- [-1279.984] (-1324.255) (-1351.548) (-1279.382) * (-1358.061) [-1258.987] (-1341.741) (-1268.262) -- 0:06:08
584000 -- [-1279.964] (-1325.908) (-1353.226) (-1282.630) * (-1363.114) [-1260.630] (-1335.735) (-1265.560) -- 0:06:07
585000 -- [-1276.532] (-1329.089) (-1337.742) (-1291.025) * (-1341.868) [-1275.762] (-1346.829) (-1280.609) -- 0:06:06
Average standard deviation of split frequencies: 0.018385
586000 -- [-1265.734] (-1340.636) (-1339.286) (-1271.679) * (-1341.792) [-1265.590] (-1338.667) (-1277.338) -- 0:06:05
587000 -- (-1268.136) (-1331.284) (-1352.693) [-1269.355] * (-1340.527) (-1274.900) (-1342.416) [-1276.101] -- 0:06:05
588000 -- (-1271.619) (-1327.495) (-1347.431) [-1266.938] * (-1331.831) [-1274.720] (-1334.851) (-1277.317) -- 0:06:04
589000 -- [-1270.592] (-1318.375) (-1338.905) (-1260.803) * (-1323.595) (-1283.541) (-1342.149) [-1260.803] -- 0:06:03
590000 -- (-1258.950) (-1317.321) (-1341.580) [-1260.109] * (-1333.513) [-1277.830] (-1344.268) (-1272.047) -- 0:06:02
Average standard deviation of split frequencies: 0.018149
591000 -- [-1264.567] (-1326.448) (-1323.287) (-1265.409) * (-1331.747) [-1263.048] (-1329.196) (-1272.227) -- 0:06:01
592000 -- (-1264.705) (-1311.247) (-1329.654) [-1262.683] * (-1344.230) [-1264.166] (-1358.011) (-1277.726) -- 0:06:00
593000 -- (-1294.054) (-1326.184) (-1317.388) [-1272.225] * (-1345.239) (-1269.025) (-1336.136) [-1273.224] -- 0:05:59
594000 -- (-1275.763) (-1332.369) (-1327.553) [-1269.625] * (-1347.515) (-1273.624) (-1340.233) [-1279.488] -- 0:05:58
595000 -- [-1262.518] (-1329.308) (-1326.670) (-1286.061) * (-1330.337) (-1290.390) (-1336.869) [-1259.772] -- 0:05:58
Average standard deviation of split frequencies: 0.017987
596000 -- [-1280.210] (-1329.139) (-1327.096) (-1284.234) * (-1333.517) (-1277.774) (-1334.010) [-1265.061] -- 0:05:57
597000 -- [-1272.280] (-1333.256) (-1323.104) (-1281.321) * (-1339.753) [-1250.190] (-1331.541) (-1276.855) -- 0:05:56
598000 -- [-1273.699] (-1343.475) (-1330.106) (-1286.005) * (-1325.878) [-1258.258] (-1341.235) (-1287.256) -- 0:05:55
599000 -- [-1272.600] (-1336.289) (-1337.567) (-1290.481) * (-1328.077) [-1262.735] (-1333.799) (-1288.047) -- 0:05:54
600000 -- [-1258.549] (-1331.967) (-1334.760) (-1269.526) * (-1340.953) [-1254.508] (-1323.262) (-1297.345) -- 0:05:53
Average standard deviation of split frequencies: 0.018181
601000 -- [-1260.548] (-1334.555) (-1320.776) (-1274.316) * (-1345.706) [-1260.736] (-1339.223) (-1278.394) -- 0:05:52
602000 -- (-1280.935) (-1341.217) (-1324.639) [-1290.490] * (-1327.529) [-1260.168] (-1345.610) (-1290.345) -- 0:05:51
603000 -- [-1271.813] (-1355.777) (-1329.719) (-1280.514) * (-1351.094) [-1258.885] (-1327.785) (-1281.576) -- 0:05:50
604000 -- [-1268.896] (-1345.501) (-1336.031) (-1286.878) * (-1339.100) [-1261.179] (-1334.761) (-1284.958) -- 0:05:50
605000 -- [-1259.138] (-1356.902) (-1327.583) (-1275.843) * (-1335.044) [-1263.891] (-1327.773) (-1301.275) -- 0:05:49
Average standard deviation of split frequencies: 0.018050
606000 -- [-1275.716] (-1353.991) (-1322.110) (-1284.971) * (-1328.385) [-1262.454] (-1340.459) (-1318.695) -- 0:05:48
607000 -- [-1259.341] (-1345.793) (-1321.430) (-1280.167) * (-1314.591) [-1261.617] (-1330.290) (-1303.729) -- 0:05:47
608000 -- (-1267.591) (-1353.732) (-1317.335) [-1276.226] * (-1330.854) [-1270.591] (-1334.274) (-1300.867) -- 0:05:46
609000 -- [-1260.295] (-1327.201) (-1324.217) (-1285.161) * (-1332.526) [-1269.444] (-1330.162) (-1299.454) -- 0:05:45
610000 -- [-1258.620] (-1331.986) (-1344.156) (-1288.167) * (-1326.307) [-1264.439] (-1327.784) (-1302.940) -- 0:05:44
Average standard deviation of split frequencies: 0.018162
611000 -- [-1266.251] (-1329.788) (-1347.116) (-1291.971) * (-1324.245) [-1262.178] (-1331.236) (-1292.261) -- 0:05:43
612000 -- [-1279.566] (-1337.832) (-1356.145) (-1281.041) * (-1341.323) [-1272.577] (-1335.352) (-1294.973) -- 0:05:42
613000 -- [-1273.159] (-1336.708) (-1355.172) (-1283.816) * (-1340.331) [-1273.218] (-1332.297) (-1310.269) -- 0:05:42
614000 -- [-1268.341] (-1328.153) (-1355.152) (-1290.338) * (-1346.168) (-1281.667) (-1325.092) [-1295.057] -- 0:05:41
615000 -- [-1277.300] (-1330.957) (-1352.569) (-1276.740) * (-1331.290) [-1279.999] (-1325.622) (-1287.837) -- 0:05:40
Average standard deviation of split frequencies: 0.018423
616000 -- (-1294.439) (-1344.027) (-1358.137) [-1262.779] * (-1346.404) (-1282.112) (-1322.783) [-1286.083] -- 0:05:39
617000 -- (-1312.531) (-1332.679) (-1358.090) [-1270.584] * (-1343.947) [-1275.568] (-1337.025) (-1284.096) -- 0:05:38
618000 -- [-1285.456] (-1324.935) (-1359.903) (-1275.213) * (-1334.518) [-1281.383] (-1337.317) (-1282.852) -- 0:05:37
619000 -- [-1272.645] (-1321.718) (-1372.687) (-1270.427) * (-1335.299) [-1270.297] (-1348.330) (-1294.156) -- 0:05:36
620000 -- (-1285.232) (-1314.272) (-1352.164) [-1266.726] * (-1343.440) [-1283.180] (-1327.963) (-1301.491) -- 0:05:35
Average standard deviation of split frequencies: 0.017483
621000 -- (-1301.533) (-1313.083) (-1362.070) [-1259.227] * (-1342.780) [-1280.638] (-1346.633) (-1298.592) -- 0:05:35
622000 -- (-1293.739) (-1311.285) (-1381.099) [-1264.013] * (-1341.040) [-1271.137] (-1344.673) (-1296.199) -- 0:05:34
623000 -- [-1290.227] (-1328.353) (-1368.959) (-1280.786) * (-1342.922) (-1307.033) (-1337.865) [-1272.693] -- 0:05:33
624000 -- (-1288.520) (-1326.504) (-1367.084) [-1268.492] * (-1333.350) (-1306.078) (-1335.397) [-1276.691] -- 0:05:32
625000 -- (-1280.408) (-1332.675) (-1351.990) [-1261.450] * (-1342.725) (-1301.881) (-1335.195) [-1276.738] -- 0:05:31
Average standard deviation of split frequencies: 0.016882
626000 -- (-1272.355) (-1321.026) (-1345.811) [-1269.286] * (-1348.003) [-1282.469] (-1341.166) (-1269.756) -- 0:05:30
627000 -- (-1269.040) (-1348.555) (-1342.077) [-1278.705] * (-1346.856) (-1257.798) (-1334.162) [-1270.827] -- 0:05:29
628000 -- [-1255.866] (-1344.102) (-1332.665) (-1273.701) * (-1348.071) [-1257.744] (-1321.865) (-1277.134) -- 0:05:28
629000 -- [-1262.066] (-1336.471) (-1345.487) (-1277.268) * (-1358.044) [-1261.278] (-1330.788) (-1267.603) -- 0:05:27
630000 -- [-1264.185] (-1331.255) (-1342.270) (-1297.408) * (-1352.557) (-1265.292) (-1337.810) [-1265.469] -- 0:05:27
Average standard deviation of split frequencies: 0.016200
631000 -- [-1262.009] (-1325.963) (-1347.353) (-1277.430) * (-1353.020) [-1259.258] (-1326.267) (-1261.127) -- 0:05:26
632000 -- [-1261.612] (-1337.679) (-1338.982) (-1264.055) * (-1336.310) [-1272.022] (-1326.026) (-1260.059) -- 0:05:24
633000 -- [-1258.366] (-1355.777) (-1336.987) (-1266.926) * (-1329.843) [-1259.245] (-1323.829) (-1274.016) -- 0:05:24
634000 -- [-1258.055] (-1346.646) (-1343.744) (-1272.274) * (-1345.390) [-1261.278] (-1324.498) (-1280.032) -- 0:05:23
635000 -- [-1279.464] (-1329.754) (-1355.457) (-1270.868) * (-1364.063) [-1266.514] (-1316.370) (-1277.700) -- 0:05:22
Average standard deviation of split frequencies: 0.016032
636000 -- [-1269.507] (-1340.955) (-1360.650) (-1265.529) * (-1348.079) [-1295.275] (-1315.460) (-1264.850) -- 0:05:21
637000 -- [-1276.551] (-1353.413) (-1352.813) (-1274.227) * (-1345.107) (-1289.792) (-1325.789) [-1278.846] -- 0:05:20
638000 -- [-1272.464] (-1350.406) (-1355.647) (-1283.133) * (-1349.317) (-1273.214) (-1331.153) [-1268.758] -- 0:05:20
639000 -- [-1260.059] (-1333.789) (-1357.543) (-1278.254) * (-1338.668) [-1270.470] (-1331.175) (-1279.892) -- 0:05:19
640000 -- [-1270.243] (-1348.797) (-1338.533) (-1291.832) * (-1323.713) (-1270.513) (-1326.124) [-1268.646] -- 0:05:18
Average standard deviation of split frequencies: 0.015588
641000 -- [-1272.844] (-1326.510) (-1351.306) (-1291.013) * (-1322.671) [-1268.727] (-1333.736) (-1282.905) -- 0:05:16
642000 -- [-1274.244] (-1329.929) (-1377.748) (-1290.842) * (-1334.699) [-1261.939] (-1325.278) (-1269.038) -- 0:05:16
643000 -- [-1267.470] (-1325.432) (-1349.432) (-1287.135) * (-1348.976) [-1274.920] (-1323.558) (-1274.989) -- 0:05:15
644000 -- [-1255.623] (-1334.835) (-1354.590) (-1287.343) * (-1346.237) [-1264.668] (-1317.692) (-1286.606) -- 0:05:14
645000 -- [-1261.770] (-1333.450) (-1350.846) (-1280.675) * (-1329.242) [-1268.908] (-1330.649) (-1296.184) -- 0:05:13
Average standard deviation of split frequencies: 0.015517
646000 -- (-1282.050) (-1331.816) (-1333.803) [-1281.636] * (-1339.049) [-1271.258] (-1354.801) (-1285.422) -- 0:05:12
647000 -- (-1286.670) (-1334.924) (-1329.994) [-1286.923] * (-1347.408) (-1276.920) (-1353.652) [-1279.934] -- 0:05:12
648000 -- (-1286.013) (-1331.668) (-1334.868) [-1275.732] * (-1347.229) [-1271.573] (-1347.650) (-1307.715) -- 0:05:11
649000 -- (-1302.123) (-1326.983) (-1331.031) [-1257.426] * (-1334.610) [-1260.353] (-1345.518) (-1284.781) -- 0:05:10
650000 -- (-1296.004) (-1352.300) (-1335.945) [-1271.447] * (-1346.207) [-1267.757] (-1368.423) (-1279.409) -- 0:05:09
Average standard deviation of split frequencies: 0.014758
651000 -- (-1291.516) (-1343.607) (-1338.124) [-1267.095] * (-1346.743) (-1289.130) (-1358.283) [-1291.071] -- 0:05:08
652000 -- (-1306.587) (-1337.836) (-1340.337) [-1272.736] * (-1352.038) [-1273.945] (-1358.971) (-1289.331) -- 0:05:07
653000 -- (-1295.416) (-1330.087) (-1334.185) [-1266.416] * (-1352.869) [-1272.385] (-1344.577) (-1281.585) -- 0:05:06
654000 -- (-1298.288) (-1323.282) (-1334.290) [-1270.763] * (-1335.547) [-1277.698] (-1332.663) (-1279.829) -- 0:05:05
655000 -- [-1286.014] (-1356.232) (-1322.888) (-1284.756) * (-1339.093) [-1265.255] (-1313.344) (-1285.934) -- 0:05:04
Average standard deviation of split frequencies: 0.014731
656000 -- (-1307.520) (-1363.656) (-1346.887) [-1279.601] * (-1340.685) [-1268.372] (-1306.119) (-1277.485) -- 0:05:04
657000 -- (-1302.272) (-1351.593) (-1354.702) [-1262.483] * (-1341.976) [-1271.771] (-1306.297) (-1287.439) -- 0:05:03
658000 -- (-1274.173) (-1384.088) (-1350.821) [-1276.110] * (-1326.674) [-1266.125] (-1329.391) (-1301.415) -- 0:05:02
659000 -- (-1296.696) (-1359.500) (-1346.848) [-1271.530] * (-1349.931) [-1269.524] (-1335.166) (-1296.934) -- 0:05:01
660000 -- (-1297.932) (-1344.892) (-1337.136) [-1255.776] * (-1345.543) [-1269.470] (-1336.605) (-1289.738) -- 0:05:00
Average standard deviation of split frequencies: 0.015209
661000 -- (-1293.113) (-1330.589) (-1353.333) [-1259.949] * (-1343.095) [-1257.044] (-1333.648) (-1290.963) -- 0:04:59
662000 -- (-1285.573) (-1341.677) (-1359.107) [-1267.691] * (-1346.834) [-1259.312] (-1324.543) (-1282.871) -- 0:04:58
663000 -- [-1279.794] (-1344.339) (-1336.250) (-1269.381) * (-1334.683) [-1262.544] (-1328.053) (-1295.599) -- 0:04:57
664000 -- [-1273.020] (-1354.834) (-1340.248) (-1280.013) * (-1345.563) [-1257.209] (-1321.672) (-1279.932) -- 0:04:57
665000 -- (-1280.673) (-1339.944) (-1344.601) [-1264.322] * (-1363.703) [-1277.048] (-1321.253) (-1289.055) -- 0:04:56
Average standard deviation of split frequencies: 0.015231
666000 -- (-1279.899) (-1323.198) (-1353.905) [-1264.667] * (-1363.909) [-1266.592] (-1340.608) (-1288.300) -- 0:04:55
667000 -- (-1266.984) (-1333.541) (-1358.532) [-1263.163] * (-1346.576) [-1271.362] (-1318.791) (-1297.023) -- 0:04:54
668000 -- (-1275.617) (-1339.294) (-1358.028) [-1265.471] * (-1351.627) [-1267.756] (-1325.136) (-1294.504) -- 0:04:53
669000 -- (-1274.996) (-1342.939) (-1363.703) [-1266.028] * (-1339.530) [-1267.889] (-1316.185) (-1292.929) -- 0:04:52
670000 -- (-1284.558) (-1344.982) (-1370.154) [-1272.939] * (-1349.696) [-1270.998] (-1317.691) (-1290.479) -- 0:04:52
Average standard deviation of split frequencies: 0.014813
671000 -- (-1270.233) (-1328.998) (-1362.063) [-1265.132] * (-1348.118) (-1283.500) (-1314.917) [-1280.822] -- 0:04:51
672000 -- (-1254.636) (-1318.422) (-1348.033) [-1266.091] * (-1338.245) (-1284.867) (-1331.181) [-1254.100] -- 0:04:49
673000 -- (-1267.292) (-1329.276) (-1348.485) [-1265.238] * (-1346.439) (-1282.505) (-1331.928) [-1267.742] -- 0:04:49
674000 -- [-1276.924] (-1333.257) (-1364.363) (-1275.698) * (-1344.282) [-1290.728] (-1333.749) (-1271.970) -- 0:04:48
675000 -- (-1289.421) (-1348.211) (-1363.315) [-1278.558] * (-1349.040) (-1285.760) (-1336.148) [-1262.767] -- 0:04:47
Average standard deviation of split frequencies: 0.014915
676000 -- [-1269.869] (-1334.261) (-1379.934) (-1281.898) * (-1343.332) (-1280.513) (-1350.849) [-1261.090] -- 0:04:46
677000 -- [-1263.517] (-1328.953) (-1372.192) (-1282.471) * (-1336.791) (-1280.506) (-1323.114) [-1263.552] -- 0:04:45
678000 -- [-1267.957] (-1336.485) (-1356.264) (-1296.215) * (-1346.927) (-1300.195) (-1320.414) [-1258.417] -- 0:04:44
679000 -- [-1261.888] (-1320.982) (-1342.277) (-1285.834) * (-1341.181) (-1278.766) (-1334.152) [-1265.387] -- 0:04:44
680000 -- [-1268.895] (-1333.168) (-1325.534) (-1279.460) * (-1345.761) [-1271.507] (-1333.300) (-1272.442) -- 0:04:42
Average standard deviation of split frequencies: 0.015018
681000 -- [-1260.875] (-1334.334) (-1328.046) (-1287.043) * (-1357.846) (-1291.740) (-1326.620) [-1284.084] -- 0:04:41
682000 -- [-1271.756] (-1337.386) (-1354.870) (-1290.900) * (-1334.651) (-1291.271) (-1331.278) [-1263.409] -- 0:04:41
683000 -- [-1276.563] (-1328.446) (-1362.151) (-1280.838) * (-1337.823) (-1286.706) (-1338.919) [-1264.891] -- 0:04:40
684000 -- [-1284.782] (-1327.664) (-1354.672) (-1293.474) * (-1350.060) (-1269.934) (-1358.000) [-1271.672] -- 0:04:39
685000 -- [-1277.632] (-1330.399) (-1334.397) (-1293.319) * (-1343.006) (-1289.650) (-1355.014) [-1275.025] -- 0:04:38
Average standard deviation of split frequencies: 0.014762
686000 -- (-1277.396) (-1347.775) (-1336.978) [-1287.340] * (-1346.402) (-1295.835) (-1334.432) [-1283.158] -- 0:04:37
687000 -- [-1280.673] (-1327.593) (-1343.290) (-1288.677) * (-1331.982) [-1285.794] (-1327.889) (-1279.836) -- 0:04:37
688000 -- [-1273.433] (-1328.713) (-1335.011) (-1285.691) * (-1333.095) [-1267.940] (-1329.911) (-1283.491) -- 0:04:36
689000 -- (-1267.071) (-1324.671) (-1325.930) [-1281.747] * (-1336.164) [-1281.542] (-1342.353) (-1291.363) -- 0:04:34
690000 -- [-1278.177] (-1310.966) (-1338.779) (-1289.584) * (-1338.810) (-1266.453) (-1325.061) [-1275.287] -- 0:04:34
Average standard deviation of split frequencies: 0.014991
691000 -- [-1267.656] (-1316.903) (-1331.672) (-1287.677) * (-1339.183) [-1261.053] (-1329.726) (-1271.829) -- 0:04:33
692000 -- [-1262.928] (-1320.760) (-1334.590) (-1284.005) * (-1341.179) [-1263.898] (-1333.337) (-1286.428) -- 0:04:32
693000 -- (-1272.989) (-1325.199) (-1357.526) [-1273.665] * (-1348.403) [-1260.595] (-1345.133) (-1291.413) -- 0:04:31
694000 -- (-1273.044) (-1317.773) (-1355.840) [-1260.715] * (-1353.830) [-1264.795] (-1341.724) (-1282.061) -- 0:04:30
695000 -- (-1283.026) (-1316.427) (-1355.464) [-1257.161] * (-1360.663) [-1276.184] (-1339.525) (-1282.611) -- 0:04:29
Average standard deviation of split frequencies: 0.014800
696000 -- (-1281.419) (-1325.475) (-1343.538) [-1260.068] * (-1352.675) [-1263.404] (-1321.402) (-1283.743) -- 0:04:28
697000 -- (-1293.182) (-1327.604) (-1343.429) [-1276.339] * (-1351.485) [-1262.148] (-1327.829) (-1275.628) -- 0:04:27
698000 -- (-1289.001) (-1335.247) (-1341.649) [-1261.909] * (-1319.158) [-1254.074] (-1345.243) (-1266.190) -- 0:04:26
699000 -- (-1272.083) (-1327.395) (-1358.526) [-1257.507] * (-1338.055) [-1265.955] (-1347.318) (-1267.190) -- 0:04:26
700000 -- (-1277.777) (-1340.421) (-1341.493) [-1270.841] * (-1323.190) [-1270.969] (-1355.370) (-1274.659) -- 0:04:25
Average standard deviation of split frequencies: 0.014992
701000 -- (-1273.502) (-1330.159) (-1337.386) [-1263.141] * (-1331.270) [-1262.385] (-1346.306) (-1294.736) -- 0:04:24
702000 -- (-1294.310) (-1340.172) (-1335.751) [-1276.730] * (-1322.766) [-1254.338] (-1356.477) (-1288.952) -- 0:04:23
703000 -- (-1286.959) (-1328.036) (-1351.384) [-1266.715] * (-1349.282) [-1256.385] (-1326.662) (-1305.592) -- 0:04:22
704000 -- (-1282.552) (-1333.976) (-1357.754) [-1275.405] * (-1362.993) [-1262.230] (-1318.832) (-1290.487) -- 0:04:21
705000 -- (-1277.590) (-1346.747) (-1354.684) [-1261.097] * (-1357.783) [-1263.706] (-1325.436) (-1287.488) -- 0:04:20
Average standard deviation of split frequencies: 0.014628
706000 -- (-1289.907) (-1333.010) (-1344.461) [-1272.814] * (-1343.488) [-1259.649] (-1333.273) (-1290.666) -- 0:04:19
707000 -- (-1295.461) (-1331.630) (-1342.161) [-1265.854] * (-1347.087) [-1252.693] (-1345.752) (-1288.771) -- 0:04:19
708000 -- (-1297.084) (-1334.025) (-1344.142) [-1253.392] * (-1343.470) [-1264.858] (-1345.212) (-1290.037) -- 0:04:18
709000 -- (-1291.257) (-1337.047) (-1322.936) [-1263.781] * (-1345.618) [-1274.615] (-1338.354) (-1306.041) -- 0:04:17
710000 -- (-1297.325) (-1346.442) (-1341.896) [-1271.474] * (-1326.719) [-1268.971] (-1334.291) (-1301.785) -- 0:04:16
Average standard deviation of split frequencies: 0.014716
711000 -- (-1282.078) (-1337.120) (-1350.380) [-1277.927] * (-1346.693) [-1259.400] (-1339.109) (-1304.470) -- 0:04:15
712000 -- (-1285.545) (-1338.408) (-1336.550) [-1275.423] * (-1357.044) [-1270.943] (-1341.387) (-1297.533) -- 0:04:14
713000 -- (-1279.115) (-1338.293) (-1343.219) [-1284.559] * (-1345.177) [-1271.103] (-1365.629) (-1287.852) -- 0:04:13
714000 -- [-1276.521] (-1345.827) (-1335.686) (-1291.244) * (-1329.479) [-1278.983] (-1350.859) (-1280.646) -- 0:04:12
715000 -- [-1275.543] (-1327.937) (-1333.932) (-1298.511) * (-1344.729) [-1266.683] (-1342.859) (-1278.930) -- 0:04:11
Average standard deviation of split frequencies: 0.014948
716000 -- [-1283.360] (-1341.629) (-1341.040) (-1283.767) * (-1339.894) [-1264.288] (-1343.587) (-1271.432) -- 0:04:11
717000 -- (-1262.891) (-1331.582) (-1344.620) [-1268.902] * (-1343.224) (-1282.773) (-1334.566) [-1263.231] -- 0:04:10
718000 -- (-1268.021) (-1330.730) (-1340.436) [-1274.306] * (-1349.661) (-1277.415) (-1328.649) [-1259.433] -- 0:04:09
719000 -- [-1265.103] (-1332.390) (-1342.115) (-1276.902) * (-1342.664) (-1282.373) (-1336.299) [-1264.617] -- 0:04:08
720000 -- [-1260.500] (-1318.149) (-1340.259) (-1284.358) * (-1336.198) (-1283.544) (-1348.654) [-1268.665] -- 0:04:07
Average standard deviation of split frequencies: 0.014863
721000 -- [-1264.363] (-1327.757) (-1355.247) (-1278.160) * (-1338.794) (-1290.258) (-1336.780) [-1276.528] -- 0:04:06
722000 -- [-1261.966] (-1335.465) (-1337.309) (-1282.315) * (-1344.878) (-1287.489) (-1340.158) [-1263.887] -- 0:04:06
723000 -- [-1265.359] (-1331.800) (-1339.613) (-1277.969) * (-1356.317) (-1293.371) (-1340.019) [-1267.674] -- 0:04:04
724000 -- [-1267.307] (-1325.477) (-1328.075) (-1291.831) * (-1339.298) (-1287.138) (-1325.537) [-1260.107] -- 0:04:03
725000 -- [-1261.369] (-1324.445) (-1343.004) (-1273.723) * (-1344.312) (-1268.280) (-1332.388) [-1261.708] -- 0:04:03
Average standard deviation of split frequencies: 0.015199
726000 -- [-1270.574] (-1332.954) (-1335.711) (-1267.730) * (-1357.930) (-1284.970) (-1343.598) [-1272.509] -- 0:04:02
727000 -- [-1263.886] (-1329.866) (-1359.335) (-1282.984) * (-1339.962) (-1290.555) (-1339.740) [-1267.924] -- 0:04:01
728000 -- [-1261.211] (-1328.653) (-1347.362) (-1285.354) * (-1348.527) (-1294.860) (-1345.646) [-1271.280] -- 0:04:00
729000 -- [-1259.266] (-1331.819) (-1348.975) (-1280.237) * (-1340.111) (-1288.649) (-1360.739) [-1256.400] -- 0:03:59
730000 -- [-1258.248] (-1330.829) (-1348.335) (-1280.961) * (-1338.161) (-1271.584) (-1354.634) [-1266.661] -- 0:03:58
Average standard deviation of split frequencies: 0.015233
731000 -- [-1262.176] (-1332.334) (-1345.432) (-1278.654) * (-1346.026) (-1277.000) (-1347.000) [-1263.122] -- 0:03:58
732000 -- (-1272.998) (-1343.889) (-1355.442) [-1281.933] * (-1338.729) (-1281.116) (-1336.037) [-1255.716] -- 0:03:57
733000 -- [-1263.410] (-1335.707) (-1330.167) (-1283.270) * (-1350.937) (-1278.016) (-1316.350) [-1260.902] -- 0:03:56
734000 -- [-1262.351] (-1348.808) (-1331.996) (-1309.139) * (-1345.129) (-1276.266) (-1324.828) [-1253.522] -- 0:03:55
735000 -- [-1262.638] (-1335.558) (-1358.091) (-1300.593) * (-1354.799) (-1285.366) (-1331.862) [-1260.108] -- 0:03:54
Average standard deviation of split frequencies: 0.015241
736000 -- [-1274.662] (-1334.995) (-1357.660) (-1293.030) * (-1348.476) [-1278.026] (-1333.231) (-1262.825) -- 0:03:53
737000 -- [-1280.955] (-1313.394) (-1369.578) (-1281.880) * (-1330.061) (-1269.791) (-1344.136) [-1266.532] -- 0:03:52
738000 -- [-1276.620] (-1322.239) (-1358.864) (-1291.186) * (-1329.446) (-1276.766) (-1337.478) [-1277.311] -- 0:03:51
739000 -- [-1268.475] (-1339.901) (-1340.390) (-1280.427) * (-1342.515) (-1273.325) (-1341.971) [-1286.291] -- 0:03:50
740000 -- [-1255.305] (-1346.257) (-1361.327) (-1257.300) * (-1318.027) (-1267.041) (-1343.762) [-1274.431] -- 0:03:50
Average standard deviation of split frequencies: 0.015107
741000 -- [-1252.061] (-1347.209) (-1356.554) (-1264.694) * (-1324.865) (-1300.541) (-1347.289) [-1278.223] -- 0:03:49
742000 -- [-1244.932] (-1330.034) (-1353.686) (-1269.000) * (-1336.695) (-1283.540) (-1343.621) [-1266.519] -- 0:03:48
743000 -- [-1251.365] (-1339.239) (-1348.736) (-1279.974) * (-1331.236) (-1285.898) (-1331.134) [-1279.032] -- 0:03:47
744000 -- [-1264.439] (-1323.097) (-1330.609) (-1290.568) * (-1324.778) (-1281.902) (-1339.247) [-1268.530] -- 0:03:46
745000 -- [-1261.061] (-1351.432) (-1331.374) (-1274.932) * (-1332.648) (-1294.230) (-1327.089) [-1278.730] -- 0:03:45
Average standard deviation of split frequencies: 0.015084
746000 -- [-1266.100] (-1346.273) (-1322.358) (-1274.977) * (-1330.649) (-1308.935) (-1343.353) [-1251.153] -- 0:03:44
747000 -- (-1278.232) (-1337.806) (-1331.898) [-1267.322] * (-1336.505) (-1298.654) (-1336.583) [-1264.867] -- 0:03:43
748000 -- [-1273.104] (-1332.842) (-1319.160) (-1276.867) * (-1335.141) (-1281.093) (-1333.872) [-1267.203] -- 0:03:43
749000 -- (-1266.129) (-1335.716) (-1335.127) [-1281.747] * (-1332.974) (-1283.967) (-1343.282) [-1260.400] -- 0:03:42
750000 -- (-1319.217) (-1331.546) (-1342.927) [-1270.837] * (-1338.611) (-1299.970) (-1337.589) [-1269.812] -- 0:03:41
Average standard deviation of split frequencies: 0.015537
751000 -- (-1301.572) (-1320.804) (-1353.089) [-1266.699] * (-1340.458) [-1290.410] (-1349.685) (-1277.317) -- 0:03:40
752000 -- (-1314.928) (-1324.511) (-1348.431) [-1281.253] * (-1340.845) (-1275.985) (-1346.918) [-1263.708] -- 0:03:39
753000 -- (-1310.331) (-1322.566) (-1346.124) [-1270.815] * (-1350.394) (-1279.670) (-1368.188) [-1263.711] -- 0:03:38
754000 -- (-1307.206) (-1319.763) (-1345.986) [-1263.575] * (-1324.617) (-1287.278) (-1350.676) [-1264.903] -- 0:03:37
755000 -- (-1309.247) (-1321.595) (-1332.348) [-1253.978] * (-1339.191) (-1296.332) (-1346.739) [-1272.747] -- 0:03:37
Average standard deviation of split frequencies: 0.015485
756000 -- (-1287.837) (-1325.994) (-1337.892) [-1258.843] * (-1346.503) [-1300.688] (-1328.785) (-1275.729) -- 0:03:35
757000 -- (-1300.174) (-1326.785) (-1341.052) [-1260.180] * (-1342.553) (-1311.589) (-1332.642) [-1277.062] -- 0:03:35
758000 -- (-1276.665) (-1322.634) (-1347.690) [-1264.359] * (-1357.742) (-1302.504) (-1333.214) [-1275.636] -- 0:03:34
759000 -- (-1284.136) (-1335.828) (-1339.101) [-1256.169] * (-1354.327) [-1296.708] (-1335.591) (-1285.977) -- 0:03:33
760000 -- (-1276.311) (-1351.459) (-1333.333) [-1269.532] * (-1382.223) (-1319.711) (-1328.833) [-1277.297] -- 0:03:32
Average standard deviation of split frequencies: 0.015390
761000 -- (-1284.310) (-1350.679) (-1328.679) [-1277.425] * (-1363.491) (-1315.221) (-1332.140) [-1275.601] -- 0:03:31
762000 -- [-1268.712] (-1355.010) (-1334.473) (-1273.288) * (-1363.130) (-1313.441) (-1334.800) [-1270.011] -- 0:03:30
763000 -- [-1262.149] (-1331.826) (-1337.932) (-1281.152) * (-1358.461) (-1306.427) (-1322.816) [-1266.538] -- 0:03:29
764000 -- [-1273.640] (-1343.710) (-1331.611) (-1310.034) * (-1373.484) (-1294.508) (-1332.562) [-1271.624] -- 0:03:29
765000 -- [-1269.554] (-1352.512) (-1330.671) (-1304.427) * (-1372.575) (-1262.143) (-1330.662) [-1275.611] -- 0:03:28
Average standard deviation of split frequencies: 0.015055
766000 -- [-1273.419] (-1358.723) (-1337.728) (-1284.284) * (-1362.187) [-1269.411] (-1331.375) (-1282.251) -- 0:03:27
767000 -- [-1256.088] (-1313.868) (-1346.033) (-1299.429) * (-1364.081) [-1264.302] (-1334.266) (-1307.373) -- 0:03:26
768000 -- [-1263.796] (-1329.190) (-1358.985) (-1282.140) * (-1363.086) [-1267.561] (-1342.973) (-1294.078) -- 0:03:25
769000 -- [-1258.429] (-1333.332) (-1359.336) (-1273.110) * (-1351.250) (-1280.791) (-1333.500) [-1294.334] -- 0:03:24
770000 -- (-1275.632) (-1341.844) (-1382.395) [-1263.814] * (-1345.017) [-1275.846] (-1326.377) (-1290.526) -- 0:03:23
Average standard deviation of split frequencies: 0.015765
771000 -- (-1263.324) (-1337.208) (-1367.809) [-1255.344] * (-1352.014) [-1281.901] (-1316.713) (-1296.146) -- 0:03:22
772000 -- (-1283.854) (-1318.429) (-1352.670) [-1268.477] * (-1353.450) [-1280.537] (-1320.295) (-1295.607) -- 0:03:22
773000 -- (-1286.294) (-1336.328) (-1340.722) [-1267.356] * (-1350.058) [-1266.538] (-1332.277) (-1294.724) -- 0:03:21
774000 -- (-1292.113) (-1317.748) (-1348.197) [-1264.335] * (-1365.366) [-1265.145] (-1342.844) (-1297.741) -- 0:03:20
775000 -- (-1283.456) (-1322.551) (-1354.769) [-1276.040] * (-1360.570) (-1278.754) (-1342.750) [-1279.762] -- 0:03:19
Average standard deviation of split frequencies: 0.015772
776000 -- (-1288.263) (-1325.262) (-1340.769) [-1289.422] * (-1354.042) (-1268.520) (-1332.635) [-1284.905] -- 0:03:18
777000 -- (-1277.757) (-1338.369) (-1341.304) [-1277.966] * (-1343.488) [-1280.212] (-1327.223) (-1265.454) -- 0:03:17
778000 -- (-1279.440) (-1326.888) (-1341.581) [-1277.793] * (-1340.533) (-1288.631) (-1324.916) [-1256.290] -- 0:03:16
779000 -- (-1274.298) (-1325.630) (-1339.302) [-1281.933] * (-1353.690) (-1284.277) (-1322.292) [-1269.955] -- 0:03:15
780000 -- [-1266.589] (-1348.222) (-1363.135) (-1265.874) * (-1342.783) [-1270.670] (-1326.898) (-1260.244) -- 0:03:14
Average standard deviation of split frequencies: 0.015620
781000 -- [-1268.589] (-1352.586) (-1351.826) (-1277.983) * (-1344.444) (-1272.816) (-1339.579) [-1271.636] -- 0:03:14
782000 -- [-1255.078] (-1347.023) (-1345.855) (-1266.521) * (-1344.313) (-1269.174) (-1356.016) [-1270.696] -- 0:03:13
783000 -- [-1271.799] (-1339.297) (-1341.904) (-1276.819) * (-1341.843) (-1281.135) (-1331.821) [-1266.900] -- 0:03:12
784000 -- [-1260.017] (-1343.072) (-1336.110) (-1290.334) * (-1326.477) (-1286.827) (-1331.913) [-1268.934] -- 0:03:11
785000 -- [-1266.063] (-1341.011) (-1337.062) (-1281.971) * (-1336.490) (-1285.372) (-1349.078) [-1266.961] -- 0:03:10
Average standard deviation of split frequencies: 0.016024
786000 -- [-1270.450] (-1339.556) (-1347.193) (-1280.951) * (-1346.688) (-1309.486) (-1335.218) [-1262.643] -- 0:03:09
787000 -- [-1259.524] (-1351.170) (-1335.327) (-1294.893) * (-1333.344) (-1302.590) (-1324.972) [-1272.805] -- 0:03:08
788000 -- [-1266.306] (-1342.030) (-1340.279) (-1287.948) * (-1350.703) (-1283.320) (-1335.717) [-1258.989] -- 0:03:07
789000 -- [-1261.806] (-1336.554) (-1330.009) (-1288.413) * (-1366.247) (-1295.282) (-1325.109) [-1262.306] -- 0:03:06
790000 -- (-1268.916) (-1342.057) (-1340.912) [-1279.649] * (-1354.891) (-1286.933) (-1312.946) [-1268.868] -- 0:03:06
Average standard deviation of split frequencies: 0.016252
791000 -- (-1295.433) (-1342.056) (-1342.455) [-1274.270] * (-1346.490) (-1285.332) (-1330.171) [-1259.110] -- 0:03:05
792000 -- (-1285.884) (-1330.971) (-1337.722) [-1282.476] * (-1346.560) (-1285.212) (-1313.572) [-1260.921] -- 0:03:04
793000 -- [-1272.096] (-1328.447) (-1338.496) (-1282.909) * (-1337.479) [-1278.507] (-1313.849) (-1276.702) -- 0:03:03
794000 -- [-1264.810] (-1338.166) (-1321.100) (-1283.466) * (-1339.069) (-1298.316) (-1309.331) [-1267.861] -- 0:03:02
795000 -- (-1284.491) (-1335.841) (-1334.156) [-1282.253] * (-1349.050) (-1301.662) (-1325.023) [-1278.629] -- 0:03:01
Average standard deviation of split frequencies: 0.016231
796000 -- (-1301.140) (-1328.531) (-1330.135) [-1282.973] * (-1356.522) (-1288.490) (-1335.406) [-1278.424] -- 0:03:00
797000 -- [-1290.145] (-1342.920) (-1342.030) (-1282.508) * (-1367.293) (-1278.791) (-1336.125) [-1266.930] -- 0:02:59
798000 -- [-1280.510] (-1314.280) (-1332.680) (-1271.909) * (-1364.231) (-1292.926) (-1322.908) [-1264.272] -- 0:02:58
799000 -- [-1279.515] (-1335.060) (-1342.338) (-1302.610) * (-1355.618) (-1292.417) (-1324.605) [-1270.130] -- 0:02:58
800000 -- [-1274.532] (-1321.839) (-1339.311) (-1295.995) * (-1347.938) [-1269.484] (-1323.575) (-1285.907) -- 0:02:57
Average standard deviation of split frequencies: 0.016519
801000 -- (-1307.761) (-1313.385) (-1326.587) [-1281.567] * (-1335.321) [-1273.419] (-1324.885) (-1280.823) -- 0:02:56
802000 -- (-1318.015) (-1322.195) (-1337.876) [-1286.943] * (-1344.533) [-1267.442] (-1328.988) (-1287.447) -- 0:02:55
803000 -- (-1315.792) (-1319.856) (-1353.043) [-1287.942] * (-1332.878) [-1268.352] (-1349.538) (-1288.148) -- 0:02:54
804000 -- (-1302.721) (-1314.877) (-1337.136) [-1275.296] * (-1330.535) [-1261.493] (-1355.028) (-1286.415) -- 0:02:53
805000 -- (-1295.622) (-1337.842) (-1347.699) [-1275.479] * (-1332.198) [-1261.066] (-1351.338) (-1297.340) -- 0:02:52
Average standard deviation of split frequencies: 0.016550
806000 -- (-1294.939) (-1319.994) (-1345.443) [-1265.175] * (-1346.367) [-1260.521] (-1338.994) (-1295.717) -- 0:02:51
807000 -- (-1292.642) (-1338.535) (-1358.890) [-1282.062] * (-1360.257) [-1261.047] (-1332.427) (-1294.775) -- 0:02:50
808000 -- (-1283.679) (-1344.521) (-1340.245) [-1277.879] * (-1343.352) [-1266.151] (-1335.678) (-1275.791) -- 0:02:50
809000 -- (-1289.845) (-1336.359) (-1343.110) [-1289.009] * (-1356.939) [-1270.752] (-1339.042) (-1284.331) -- 0:02:49
810000 -- (-1273.552) (-1348.434) (-1336.446) [-1264.195] * (-1339.645) [-1264.184] (-1328.989) (-1279.884) -- 0:02:48
Average standard deviation of split frequencies: 0.016811
811000 -- (-1296.467) (-1311.879) (-1344.205) [-1263.685] * (-1324.836) (-1264.164) (-1326.383) [-1277.782] -- 0:02:47
812000 -- (-1273.285) (-1315.790) (-1348.376) [-1256.380] * (-1340.732) [-1259.416] (-1334.022) (-1280.616) -- 0:02:46
813000 -- [-1259.949] (-1329.529) (-1340.287) (-1257.128) * (-1329.257) (-1255.294) (-1318.811) [-1268.007] -- 0:02:45
814000 -- (-1271.725) (-1330.291) (-1345.650) [-1273.610] * (-1337.651) [-1256.229] (-1345.386) (-1275.737) -- 0:02:44
815000 -- (-1271.363) (-1351.997) (-1339.544) [-1265.494] * (-1333.048) [-1268.957] (-1339.435) (-1298.604) -- 0:02:43
Average standard deviation of split frequencies: 0.016796
816000 -- [-1271.690] (-1337.542) (-1331.554) (-1268.314) * (-1328.003) [-1266.763] (-1336.761) (-1290.150) -- 0:02:43
817000 -- (-1286.174) (-1324.019) (-1321.799) [-1256.187] * (-1335.230) [-1263.616] (-1347.785) (-1291.400) -- 0:02:42
818000 -- (-1282.880) (-1329.327) (-1334.256) [-1267.172] * (-1347.079) [-1254.238] (-1342.733) (-1291.207) -- 0:02:41
819000 -- (-1289.451) (-1313.881) (-1315.775) [-1265.080] * (-1350.036) [-1253.332] (-1343.008) (-1291.953) -- 0:02:40
820000 -- (-1295.217) (-1321.295) (-1335.513) [-1259.159] * (-1354.937) [-1282.017] (-1338.176) (-1275.822) -- 0:02:39
Average standard deviation of split frequencies: 0.016392
821000 -- (-1297.459) (-1307.355) (-1337.230) [-1271.848] * (-1353.981) [-1269.266] (-1353.581) (-1304.557) -- 0:02:38
822000 -- (-1283.850) (-1308.305) (-1344.026) [-1263.749] * (-1322.530) [-1255.125] (-1358.823) (-1296.034) -- 0:02:37
823000 -- (-1281.852) (-1316.543) (-1338.449) [-1261.473] * (-1334.361) [-1255.171] (-1357.707) (-1310.737) -- 0:02:36
824000 -- [-1262.926] (-1320.285) (-1325.593) (-1277.913) * (-1336.131) [-1255.935] (-1342.274) (-1288.016) -- 0:02:35
825000 -- [-1266.154] (-1320.020) (-1333.656) (-1262.128) * (-1354.256) [-1260.124] (-1330.150) (-1285.295) -- 0:02:35
Average standard deviation of split frequencies: 0.015800
826000 -- [-1271.406] (-1325.918) (-1323.185) (-1277.932) * (-1345.524) [-1272.938] (-1329.348) (-1302.444) -- 0:02:34
827000 -- [-1268.041] (-1340.519) (-1330.389) (-1288.469) * (-1340.240) [-1260.351] (-1352.276) (-1280.959) -- 0:02:33
828000 -- [-1268.790] (-1330.171) (-1325.442) (-1292.218) * (-1333.643) [-1258.331] (-1351.542) (-1285.048) -- 0:02:32
829000 -- [-1264.582] (-1351.906) (-1339.720) (-1297.435) * (-1325.563) [-1258.723] (-1354.580) (-1270.797) -- 0:02:31
830000 -- [-1261.745] (-1327.310) (-1344.335) (-1290.157) * (-1339.766) [-1263.720] (-1345.957) (-1272.131) -- 0:02:30
Average standard deviation of split frequencies: 0.015606
831000 -- [-1253.818] (-1333.559) (-1330.299) (-1283.210) * (-1332.785) [-1264.359] (-1333.530) (-1271.264) -- 0:02:29
832000 -- [-1256.709] (-1336.802) (-1338.913) (-1285.434) * (-1335.574) [-1254.148] (-1337.054) (-1266.548) -- 0:02:29
833000 -- [-1254.598] (-1341.119) (-1339.322) (-1272.909) * (-1337.014) [-1255.658] (-1348.482) (-1263.505) -- 0:02:28
834000 -- [-1257.400] (-1360.721) (-1348.583) (-1267.997) * (-1353.247) [-1271.987] (-1336.720) (-1268.722) -- 0:02:27
835000 -- [-1262.295] (-1347.558) (-1337.927) (-1267.261) * (-1356.645) (-1274.603) (-1327.983) [-1265.926] -- 0:02:26
Average standard deviation of split frequencies: 0.015455
836000 -- [-1265.532] (-1346.611) (-1339.794) (-1281.213) * (-1342.919) [-1279.857] (-1334.595) (-1259.501) -- 0:02:25
837000 -- [-1255.747] (-1358.762) (-1330.278) (-1262.855) * (-1335.465) (-1282.577) (-1337.530) [-1267.017] -- 0:02:24
838000 -- [-1254.937] (-1345.190) (-1342.539) (-1257.558) * (-1340.353) (-1269.675) (-1338.744) [-1269.816] -- 0:02:23
839000 -- (-1271.841) (-1367.086) (-1341.097) [-1272.061] * (-1344.331) (-1273.566) (-1338.051) [-1269.060] -- 0:02:22
840000 -- (-1281.133) (-1360.885) (-1329.630) [-1268.503] * (-1350.303) (-1277.857) (-1330.870) [-1276.947] -- 0:02:21
Average standard deviation of split frequencies: 0.015171
841000 -- [-1275.647] (-1353.737) (-1344.971) (-1286.773) * (-1338.581) (-1281.868) (-1312.622) [-1274.506] -- 0:02:21
842000 -- [-1277.745] (-1331.553) (-1352.887) (-1292.465) * (-1350.000) (-1272.818) (-1329.068) [-1282.239] -- 0:02:20
843000 -- [-1257.968] (-1363.702) (-1356.884) (-1284.389) * (-1367.068) [-1263.818] (-1332.692) (-1297.632) -- 0:02:19
844000 -- [-1263.168] (-1344.554) (-1333.287) (-1275.201) * (-1341.434) [-1258.455] (-1334.038) (-1301.852) -- 0:02:18
845000 -- (-1269.203) (-1348.636) (-1330.730) [-1272.262] * (-1346.962) [-1258.772] (-1345.366) (-1282.133) -- 0:02:17
Average standard deviation of split frequencies: 0.015138
846000 -- [-1255.585] (-1344.236) (-1347.906) (-1275.130) * (-1347.851) [-1259.375] (-1353.278) (-1288.920) -- 0:02:16
847000 -- (-1275.437) (-1354.543) (-1330.950) [-1273.705] * (-1344.349) [-1252.373] (-1353.481) (-1285.156) -- 0:02:15
848000 -- [-1264.250] (-1340.514) (-1320.169) (-1279.677) * (-1342.561) (-1266.762) (-1342.160) [-1273.352] -- 0:02:14
849000 -- [-1270.517] (-1327.291) (-1315.503) (-1284.088) * (-1327.536) [-1265.816] (-1352.961) (-1286.808) -- 0:02:13
850000 -- [-1271.465] (-1319.661) (-1334.232) (-1285.488) * (-1328.116) [-1264.566] (-1351.198) (-1275.176) -- 0:02:13
Average standard deviation of split frequencies: 0.015342
851000 -- [-1256.572] (-1327.527) (-1344.337) (-1277.763) * (-1330.008) [-1268.717] (-1339.229) (-1289.322) -- 0:02:12
852000 -- [-1260.776] (-1343.018) (-1333.863) (-1297.914) * (-1335.319) (-1262.926) (-1313.204) [-1279.774] -- 0:02:11
853000 -- [-1259.960] (-1347.640) (-1335.423) (-1277.424) * (-1338.209) [-1262.797] (-1326.756) (-1274.309) -- 0:02:10
854000 -- [-1272.637] (-1340.982) (-1330.982) (-1278.349) * (-1342.111) (-1268.954) (-1319.836) [-1272.886] -- 0:02:09
855000 -- [-1274.415] (-1333.816) (-1335.174) (-1265.333) * (-1358.018) [-1264.002] (-1330.656) (-1270.934) -- 0:02:08
Average standard deviation of split frequencies: 0.015731
856000 -- [-1281.812] (-1320.158) (-1351.418) (-1258.637) * (-1354.897) [-1280.340] (-1335.436) (-1266.371) -- 0:02:07
857000 -- (-1293.507) (-1338.408) (-1350.974) [-1262.328] * (-1351.068) (-1270.481) (-1311.035) [-1264.524] -- 0:02:06
858000 -- (-1272.780) (-1329.760) (-1340.552) [-1275.037] * (-1331.234) (-1282.551) (-1313.156) [-1267.028] -- 0:02:05
859000 -- (-1278.880) (-1327.566) (-1341.000) [-1259.074] * (-1323.630) (-1285.100) (-1329.278) [-1270.431] -- 0:02:04
860000 -- [-1275.925] (-1337.191) (-1347.676) (-1262.698) * (-1353.749) [-1272.354] (-1325.342) (-1275.957) -- 0:02:04
Average standard deviation of split frequencies: 0.015732
861000 -- (-1292.372) (-1339.030) (-1352.158) [-1272.713] * (-1343.613) (-1292.518) (-1318.890) [-1277.658] -- 0:02:03
862000 -- [-1285.327] (-1341.238) (-1341.048) (-1286.473) * (-1335.284) [-1271.713] (-1344.255) (-1275.549) -- 0:02:02
863000 -- [-1283.532] (-1338.861) (-1342.250) (-1265.302) * (-1339.700) (-1273.215) (-1344.401) [-1273.565] -- 0:02:01
864000 -- (-1288.631) (-1336.995) (-1333.545) [-1270.036] * (-1340.222) (-1272.175) (-1329.567) [-1264.619] -- 0:02:00
865000 -- (-1285.821) (-1333.590) (-1329.384) [-1259.100] * (-1353.461) (-1281.483) (-1335.263) [-1269.916] -- 0:01:59
Average standard deviation of split frequencies: 0.015625
866000 -- [-1278.562] (-1327.750) (-1333.823) (-1279.860) * (-1353.302) (-1290.090) (-1346.137) [-1268.669] -- 0:01:58
867000 -- [-1275.875] (-1334.988) (-1317.438) (-1284.221) * (-1343.666) [-1270.483] (-1337.363) (-1284.680) -- 0:01:57
868000 -- [-1285.320] (-1324.410) (-1335.227) (-1269.222) * (-1338.325) [-1279.088] (-1342.556) (-1279.440) -- 0:01:57
869000 -- (-1278.392) (-1332.424) (-1346.258) [-1264.043] * (-1344.278) [-1262.694] (-1347.493) (-1278.723) -- 0:01:56
870000 -- (-1275.316) (-1329.625) (-1336.318) [-1270.350] * (-1343.301) [-1268.076] (-1345.892) (-1278.344) -- 0:01:55
Average standard deviation of split frequencies: 0.015230
871000 -- (-1276.132) (-1325.139) (-1354.507) [-1255.396] * (-1351.216) [-1261.704] (-1340.969) (-1280.305) -- 0:01:54
872000 -- (-1282.713) (-1317.797) (-1358.721) [-1270.922] * (-1341.525) [-1259.285] (-1346.778) (-1285.985) -- 0:01:53
873000 -- [-1273.058] (-1321.906) (-1332.845) (-1282.561) * (-1335.078) [-1255.920] (-1332.599) (-1278.206) -- 0:01:52
874000 -- (-1278.839) (-1315.679) (-1345.349) [-1266.716] * (-1341.666) (-1267.807) (-1330.835) [-1268.530] -- 0:01:51
875000 -- [-1259.592] (-1324.236) (-1348.943) (-1280.708) * (-1347.659) [-1266.661] (-1318.003) (-1288.191) -- 0:01:50
Average standard deviation of split frequencies: 0.015227
876000 -- [-1258.817] (-1346.928) (-1349.577) (-1269.379) * (-1335.127) [-1267.617] (-1324.953) (-1276.016) -- 0:01:49
877000 -- [-1270.625] (-1356.653) (-1354.699) (-1270.858) * (-1333.171) [-1261.328] (-1334.979) (-1271.534) -- 0:01:49
878000 -- [-1272.330] (-1344.311) (-1342.810) (-1280.955) * (-1346.683) [-1256.917] (-1334.268) (-1273.294) -- 0:01:48
879000 -- [-1263.341] (-1334.796) (-1346.422) (-1269.570) * (-1346.223) [-1260.013] (-1334.213) (-1296.084) -- 0:01:47
880000 -- [-1263.802] (-1328.783) (-1358.104) (-1279.127) * (-1350.350) [-1262.843] (-1327.271) (-1276.229) -- 0:01:46
Average standard deviation of split frequencies: 0.014730
881000 -- (-1264.374) (-1320.485) (-1352.615) [-1280.170] * (-1345.759) [-1269.216] (-1322.904) (-1283.417) -- 0:01:45
882000 -- [-1257.957] (-1319.876) (-1358.344) (-1286.575) * (-1343.188) [-1257.985] (-1319.679) (-1295.707) -- 0:01:44
883000 -- [-1252.693] (-1326.294) (-1371.313) (-1287.416) * (-1345.116) [-1273.238] (-1319.421) (-1308.743) -- 0:01:43
884000 -- [-1259.975] (-1318.411) (-1348.762) (-1271.241) * (-1353.960) [-1271.827] (-1327.412) (-1301.571) -- 0:01:42
885000 -- [-1258.527] (-1327.013) (-1344.616) (-1278.322) * (-1354.538) [-1255.596] (-1312.675) (-1299.619) -- 0:01:42
Average standard deviation of split frequencies: 0.014553
886000 -- [-1257.628] (-1327.550) (-1338.827) (-1282.101) * (-1332.657) [-1263.108] (-1319.005) (-1295.947) -- 0:01:41
887000 -- [-1267.568] (-1321.564) (-1322.747) (-1277.889) * (-1337.246) [-1273.300] (-1315.421) (-1311.466) -- 0:01:40
888000 -- [-1260.151] (-1314.358) (-1326.714) (-1290.275) * (-1331.479) [-1270.380] (-1330.568) (-1297.523) -- 0:01:39
889000 -- [-1272.595] (-1331.566) (-1329.314) (-1274.594) * (-1344.170) [-1263.660] (-1321.322) (-1294.404) -- 0:01:38
890000 -- [-1277.020] (-1330.969) (-1325.876) (-1296.166) * (-1343.219) [-1258.957] (-1333.386) (-1287.200) -- 0:01:37
Average standard deviation of split frequencies: 0.014418
891000 -- [-1264.412] (-1328.523) (-1323.220) (-1309.043) * (-1339.289) [-1250.127] (-1334.593) (-1283.246) -- 0:01:36
892000 -- [-1259.755] (-1360.586) (-1332.122) (-1309.487) * (-1329.546) [-1262.127] (-1335.064) (-1278.174) -- 0:01:35
893000 -- [-1260.192] (-1353.981) (-1317.308) (-1296.176) * (-1335.534) [-1253.295] (-1343.990) (-1287.989) -- 0:01:34
894000 -- [-1261.246] (-1351.191) (-1338.118) (-1298.759) * (-1336.760) [-1255.021] (-1334.534) (-1287.310) -- 0:01:34
895000 -- [-1258.787] (-1346.358) (-1335.121) (-1280.577) * (-1343.466) [-1258.840] (-1322.372) (-1289.066) -- 0:01:33
Average standard deviation of split frequencies: 0.014147
896000 -- [-1258.683] (-1341.148) (-1334.203) (-1297.381) * (-1330.524) [-1255.736] (-1325.798) (-1278.127) -- 0:01:32
897000 -- [-1263.821] (-1353.933) (-1329.129) (-1301.114) * (-1345.373) [-1254.469] (-1332.878) (-1288.561) -- 0:01:31
898000 -- [-1260.106] (-1354.204) (-1323.818) (-1293.946) * (-1350.309) [-1254.985] (-1331.305) (-1284.236) -- 0:01:30
899000 -- [-1269.490] (-1352.362) (-1341.824) (-1264.652) * (-1328.319) [-1265.479] (-1324.062) (-1291.708) -- 0:01:29
900000 -- (-1265.941) (-1351.040) (-1339.663) [-1273.545] * (-1330.300) [-1262.287] (-1318.782) (-1274.601) -- 0:01:28
Average standard deviation of split frequencies: 0.014180
901000 -- [-1262.367] (-1350.651) (-1341.486) (-1271.427) * (-1349.285) [-1253.491] (-1316.869) (-1279.924) -- 0:01:27
902000 -- (-1271.084) (-1371.707) (-1350.305) [-1270.525] * (-1336.917) [-1255.380] (-1320.701) (-1284.120) -- 0:01:27
903000 -- (-1270.065) (-1360.047) (-1346.432) [-1252.122] * (-1347.006) [-1260.678] (-1329.404) (-1296.774) -- 0:01:26
904000 -- (-1259.908) (-1356.611) (-1335.070) [-1256.089] * (-1334.942) [-1266.600] (-1323.578) (-1291.511) -- 0:01:25
905000 -- (-1273.557) (-1340.116) (-1341.474) [-1261.623] * (-1321.399) [-1259.121] (-1304.835) (-1291.693) -- 0:01:24
Average standard deviation of split frequencies: 0.013836
906000 -- (-1274.220) (-1332.194) (-1317.581) [-1274.737] * (-1321.346) [-1276.502] (-1326.294) (-1288.532) -- 0:01:23
907000 -- (-1270.602) (-1339.537) (-1330.073) [-1262.282] * (-1328.509) [-1261.744] (-1324.258) (-1288.891) -- 0:01:22
908000 -- (-1286.992) (-1339.177) (-1337.972) [-1278.633] * (-1336.178) [-1253.653] (-1323.062) (-1298.254) -- 0:01:21
909000 -- (-1283.267) (-1334.960) (-1329.008) [-1281.554] * (-1332.232) [-1261.774] (-1321.829) (-1284.966) -- 0:01:20
910000 -- (-1293.856) (-1338.459) (-1345.461) [-1277.230] * (-1342.270) [-1258.664] (-1340.544) (-1301.518) -- 0:01:19
Average standard deviation of split frequencies: 0.014130
911000 -- (-1280.579) (-1343.755) (-1330.905) [-1277.374] * (-1346.198) [-1258.661] (-1346.634) (-1283.133) -- 0:01:19
912000 -- [-1285.608] (-1352.650) (-1343.143) (-1286.250) * (-1345.925) [-1259.385] (-1337.145) (-1286.458) -- 0:01:18
913000 -- (-1283.219) (-1328.165) (-1342.286) [-1272.824] * (-1352.750) [-1253.560] (-1352.568) (-1294.727) -- 0:01:17
914000 -- (-1266.509) (-1348.497) (-1335.765) [-1282.965] * (-1332.222) [-1260.841] (-1339.724) (-1279.215) -- 0:01:16
915000 -- (-1291.804) (-1335.526) (-1339.949) [-1277.208] * (-1338.445) [-1255.733] (-1333.279) (-1278.622) -- 0:01:15
Average standard deviation of split frequencies: 0.014238
916000 -- (-1290.145) (-1343.817) (-1339.959) [-1267.195] * (-1348.546) [-1263.492] (-1329.916) (-1277.862) -- 0:01:14
917000 -- (-1280.286) (-1335.225) (-1336.945) [-1264.134] * (-1345.000) [-1255.888] (-1324.424) (-1280.990) -- 0:01:13
918000 -- (-1274.371) (-1329.804) (-1346.707) [-1274.787] * (-1347.593) [-1258.478] (-1333.033) (-1293.848) -- 0:01:12
919000 -- (-1275.396) (-1338.538) (-1337.666) [-1273.751] * (-1343.572) [-1259.840] (-1342.368) (-1289.147) -- 0:01:11
920000 -- (-1282.119) (-1336.021) (-1345.036) [-1266.606] * (-1340.788) [-1255.048] (-1318.686) (-1279.736) -- 0:01:11
Average standard deviation of split frequencies: 0.013948
921000 -- (-1285.492) (-1326.784) (-1344.673) [-1268.274] * (-1346.412) (-1268.719) (-1330.533) [-1290.159] -- 0:01:10
922000 -- (-1261.697) (-1313.980) (-1337.882) [-1269.261] * (-1330.858) [-1270.998] (-1339.649) (-1272.232) -- 0:01:09
923000 -- [-1263.752] (-1319.147) (-1337.671) (-1271.849) * (-1340.686) (-1265.741) (-1347.916) [-1278.834] -- 0:01:08
924000 -- (-1271.553) (-1332.638) (-1327.311) [-1271.899] * (-1327.795) [-1275.435] (-1336.670) (-1277.390) -- 0:01:07
925000 -- (-1271.724) (-1331.245) (-1336.798) [-1279.803] * (-1340.669) (-1277.565) (-1351.041) [-1262.450] -- 0:01:06
Average standard deviation of split frequencies: 0.013566
926000 -- [-1270.914] (-1327.897) (-1354.852) (-1276.064) * (-1324.331) (-1305.272) (-1347.567) [-1266.638] -- 0:01:05
927000 -- [-1266.772] (-1328.107) (-1333.220) (-1278.771) * (-1340.571) (-1291.310) (-1349.084) [-1262.535] -- 0:01:04
928000 -- [-1277.308] (-1325.687) (-1335.294) (-1291.853) * (-1328.268) (-1292.607) (-1336.535) [-1258.772] -- 0:01:03
929000 -- [-1269.690] (-1321.892) (-1350.587) (-1283.041) * (-1333.284) (-1287.358) (-1337.557) [-1275.545] -- 0:01:03
930000 -- (-1291.464) (-1330.438) (-1336.630) [-1280.398] * (-1341.707) (-1287.502) (-1344.333) [-1271.307] -- 0:01:02
Average standard deviation of split frequencies: 0.013085
931000 -- (-1272.975) (-1344.033) (-1326.932) [-1271.330] * (-1324.740) (-1273.200) (-1345.724) [-1265.161] -- 0:01:01
932000 -- (-1270.310) (-1331.065) (-1337.302) [-1272.517] * (-1333.214) (-1270.000) (-1324.993) [-1264.538] -- 0:01:00
933000 -- [-1266.773] (-1316.391) (-1326.435) (-1276.565) * (-1330.955) (-1262.263) (-1337.787) [-1267.708] -- 0:00:59
934000 -- (-1265.486) (-1315.393) (-1356.746) [-1276.548] * (-1340.642) (-1272.758) (-1325.878) [-1257.774] -- 0:00:58
935000 -- (-1273.555) (-1347.309) (-1351.837) [-1283.564] * (-1332.723) (-1273.657) (-1329.700) [-1261.382] -- 0:00:57
Average standard deviation of split frequencies: 0.012815
936000 -- (-1279.277) (-1313.893) (-1350.736) [-1279.189] * (-1331.146) (-1279.737) (-1321.799) [-1273.801] -- 0:00:56
937000 -- (-1275.708) (-1322.680) (-1337.635) [-1281.385] * (-1330.633) (-1278.443) (-1320.992) [-1269.546] -- 0:00:55
938000 -- [-1275.708] (-1327.634) (-1362.692) (-1299.619) * (-1336.370) (-1285.180) (-1321.832) [-1270.453] -- 0:00:55
939000 -- [-1269.481] (-1320.855) (-1375.950) (-1283.477) * (-1327.228) [-1279.096] (-1335.281) (-1274.074) -- 0:00:54
940000 -- [-1263.716] (-1334.902) (-1363.293) (-1294.262) * (-1341.484) [-1289.214] (-1322.757) (-1266.302) -- 0:00:53
Average standard deviation of split frequencies: 0.012798
941000 -- (-1272.764) (-1344.873) (-1353.766) [-1294.620] * (-1350.636) (-1278.294) (-1349.297) [-1271.462] -- 0:00:52
942000 -- [-1266.126] (-1345.099) (-1350.488) (-1292.452) * (-1330.961) (-1277.167) (-1345.035) [-1260.219] -- 0:00:51
943000 -- (-1273.194) (-1340.434) (-1360.959) [-1268.530] * (-1329.655) (-1280.275) (-1345.405) [-1256.088] -- 0:00:50
944000 -- (-1269.175) (-1331.961) (-1347.374) [-1268.047] * (-1332.636) (-1265.623) (-1339.436) [-1255.348] -- 0:00:49
945000 -- (-1272.324) (-1331.202) (-1353.579) [-1266.252] * (-1335.174) [-1274.371] (-1346.076) (-1266.866) -- 0:00:48
Average standard deviation of split frequencies: 0.013030
946000 -- [-1275.793] (-1332.168) (-1343.887) (-1295.926) * (-1340.798) (-1269.314) (-1320.276) [-1262.010] -- 0:00:47
947000 -- [-1285.776] (-1331.154) (-1357.156) (-1290.071) * (-1350.812) [-1261.958] (-1344.499) (-1267.788) -- 0:00:47
948000 -- [-1263.503] (-1329.955) (-1339.282) (-1286.656) * (-1349.154) (-1260.738) (-1332.813) [-1265.222] -- 0:00:46
949000 -- [-1273.632] (-1325.976) (-1355.555) (-1285.298) * (-1341.990) (-1275.322) (-1333.258) [-1273.668] -- 0:00:45
950000 -- (-1295.282) (-1328.926) (-1355.357) [-1278.600] * (-1340.821) (-1282.365) (-1329.255) [-1268.789] -- 0:00:44
Average standard deviation of split frequencies: 0.013003
951000 -- (-1312.214) (-1331.675) (-1358.336) [-1286.195] * (-1348.768) (-1286.281) (-1325.137) [-1273.486] -- 0:00:43
952000 -- (-1297.392) (-1322.687) (-1357.550) [-1282.533] * (-1352.841) [-1272.109] (-1313.251) (-1272.816) -- 0:00:42
953000 -- (-1315.861) (-1347.068) (-1359.720) [-1267.720] * (-1351.466) [-1282.552] (-1331.648) (-1281.806) -- 0:00:41
954000 -- (-1293.743) (-1331.748) (-1344.125) [-1267.157] * (-1361.725) (-1277.652) (-1318.947) [-1265.746] -- 0:00:40
955000 -- (-1304.015) (-1324.666) (-1358.518) [-1275.956] * (-1356.943) (-1305.138) (-1311.605) [-1275.953] -- 0:00:39
Average standard deviation of split frequencies: 0.013359
956000 -- [-1293.678] (-1344.085) (-1359.382) (-1281.793) * (-1361.879) (-1303.288) (-1331.437) [-1269.329] -- 0:00:39
957000 -- (-1279.765) (-1347.592) (-1349.257) [-1285.482] * (-1344.755) (-1296.143) (-1325.370) [-1274.618] -- 0:00:38
958000 -- (-1283.504) (-1331.823) (-1339.958) [-1272.129] * (-1340.621) [-1282.306] (-1317.350) (-1263.318) -- 0:00:37
959000 -- [-1265.421] (-1330.802) (-1335.970) (-1275.430) * (-1356.181) (-1293.056) (-1327.693) [-1254.942] -- 0:00:36
960000 -- [-1265.492] (-1336.633) (-1337.424) (-1282.310) * (-1350.453) (-1294.512) (-1325.822) [-1269.532] -- 0:00:35
Average standard deviation of split frequencies: 0.013440
961000 -- [-1266.059] (-1340.087) (-1352.731) (-1277.422) * (-1343.757) (-1292.216) (-1326.381) [-1279.386] -- 0:00:34
962000 -- [-1258.337] (-1335.235) (-1363.932) (-1278.902) * (-1339.295) (-1298.586) (-1351.561) [-1261.001] -- 0:00:33
963000 -- [-1272.080] (-1327.331) (-1356.309) (-1277.109) * (-1335.755) (-1300.975) (-1330.932) [-1261.474] -- 0:00:32
964000 -- (-1278.918) (-1345.281) (-1348.054) [-1263.669] * (-1350.699) (-1282.937) (-1322.175) [-1267.657] -- 0:00:31
965000 -- (-1282.549) (-1329.977) (-1355.139) [-1260.079] * (-1334.919) (-1303.273) (-1319.137) [-1266.557] -- 0:00:31
Average standard deviation of split frequencies: 0.013095
966000 -- (-1270.590) (-1341.998) (-1343.366) [-1262.684] * (-1336.718) (-1304.102) (-1337.251) [-1267.346] -- 0:00:30
967000 -- (-1279.760) (-1327.890) (-1356.002) [-1281.723] * (-1328.498) (-1286.383) (-1334.387) [-1268.823] -- 0:00:29
968000 -- (-1281.378) (-1334.727) (-1346.676) [-1271.704] * (-1335.546) (-1285.772) (-1342.080) [-1255.044] -- 0:00:28
969000 -- [-1285.091] (-1336.772) (-1342.450) (-1274.463) * (-1334.553) (-1276.784) (-1355.300) [-1248.000] -- 0:00:27
970000 -- [-1269.255] (-1343.493) (-1337.160) (-1274.788) * (-1351.458) (-1295.618) (-1344.913) [-1258.666] -- 0:00:26
Average standard deviation of split frequencies: 0.012861
971000 -- [-1279.482] (-1350.858) (-1357.580) (-1263.655) * (-1339.987) (-1278.297) (-1328.204) [-1254.578] -- 0:00:25
972000 -- (-1276.799) (-1352.986) (-1365.202) [-1279.172] * (-1342.664) (-1286.144) (-1351.673) [-1263.189] -- 0:00:24
973000 -- [-1283.597] (-1335.149) (-1364.144) (-1280.643) * (-1340.769) (-1282.874) (-1345.391) [-1270.641] -- 0:00:23
974000 -- [-1279.999] (-1330.796) (-1352.804) (-1272.438) * (-1346.575) (-1286.277) (-1334.636) [-1258.005] -- 0:00:23
975000 -- [-1283.744] (-1330.190) (-1359.040) (-1267.341) * (-1352.474) (-1291.729) (-1338.623) [-1266.589] -- 0:00:22
Average standard deviation of split frequencies: 0.012817
976000 -- [-1275.782] (-1330.429) (-1358.444) (-1270.029) * (-1351.737) (-1299.348) (-1335.983) [-1264.071] -- 0:00:21
977000 -- (-1296.206) (-1359.282) (-1341.143) [-1264.191] * (-1346.100) (-1304.337) (-1337.118) [-1252.539] -- 0:00:20
978000 -- (-1277.897) (-1361.438) (-1345.938) [-1267.447] * (-1346.846) (-1302.923) (-1337.782) [-1251.661] -- 0:00:19
979000 -- (-1271.367) (-1361.525) (-1358.505) [-1272.600] * (-1346.838) (-1295.046) (-1335.514) [-1256.238] -- 0:00:18
980000 -- (-1294.729) (-1326.112) (-1332.357) [-1267.866] * (-1352.964) (-1304.552) (-1350.083) [-1266.019] -- 0:00:17
Average standard deviation of split frequencies: 0.012738
981000 -- (-1293.350) (-1317.292) (-1336.108) [-1269.247] * (-1352.507) (-1285.371) (-1330.948) [-1267.806] -- 0:00:16
982000 -- (-1275.665) (-1331.561) (-1353.328) [-1272.373] * (-1365.274) (-1281.715) (-1329.618) [-1272.272] -- 0:00:16
983000 -- [-1285.012] (-1329.829) (-1354.586) (-1280.631) * (-1335.964) (-1287.680) (-1336.436) [-1272.837] -- 0:00:15
984000 -- (-1277.481) (-1353.281) (-1337.766) [-1265.833] * (-1349.673) (-1284.775) (-1348.694) [-1268.520] -- 0:00:14
985000 -- (-1278.068) (-1340.629) (-1344.868) [-1262.458] * (-1339.814) (-1285.908) (-1348.113) [-1274.869] -- 0:00:13
Average standard deviation of split frequencies: 0.012670
986000 -- (-1272.115) (-1336.354) (-1340.268) [-1267.116] * (-1339.847) (-1288.898) (-1346.060) [-1272.396] -- 0:00:12
987000 -- (-1274.383) (-1354.320) (-1330.785) [-1270.736] * (-1334.432) (-1285.413) (-1333.623) [-1262.758] -- 0:00:11
988000 -- (-1304.451) (-1356.518) (-1326.758) [-1268.175] * (-1327.700) (-1303.233) (-1346.384) [-1263.982] -- 0:00:10
989000 -- (-1290.151) (-1358.540) (-1344.653) [-1281.170] * (-1322.947) (-1276.212) (-1366.923) [-1258.287] -- 0:00:09
990000 -- (-1281.518) (-1349.780) (-1343.407) [-1257.184] * (-1331.435) (-1297.519) (-1365.991) [-1271.518] -- 0:00:08
Average standard deviation of split frequencies: 0.012724
991000 -- (-1296.187) (-1341.950) (-1354.996) [-1275.228] * (-1331.310) (-1293.344) (-1338.970) [-1271.813] -- 0:00:08
992000 -- (-1284.215) (-1342.000) (-1340.017) [-1264.065] * (-1319.611) (-1317.595) (-1337.710) [-1265.506] -- 0:00:07
993000 -- (-1285.083) (-1323.571) (-1337.017) [-1265.028] * (-1319.555) (-1295.896) (-1338.019) [-1260.133] -- 0:00:06
994000 -- (-1283.490) (-1342.314) (-1359.093) [-1261.786] * (-1317.891) (-1292.316) (-1342.929) [-1265.476] -- 0:00:05
995000 -- (-1283.003) (-1325.251) (-1359.526) [-1265.270] * (-1335.308) [-1256.693] (-1347.328) (-1279.859) -- 0:00:04
Average standard deviation of split frequencies: 0.012709
996000 -- (-1275.916) (-1320.245) (-1350.509) [-1281.775] * (-1324.249) [-1271.652] (-1339.010) (-1272.373) -- 0:00:03
997000 -- (-1263.556) (-1323.366) (-1337.141) [-1277.087] * (-1319.499) (-1282.532) (-1348.618) [-1264.485] -- 0:00:02
998000 -- [-1254.945] (-1319.326) (-1330.282) (-1276.826) * (-1343.364) (-1286.710) (-1343.757) [-1259.452] -- 0:00:01
999000 -- [-1264.716] (-1328.284) (-1348.169) (-1268.099) * (-1355.452) (-1284.426) (-1342.944) [-1271.151] -- 0:00:00
1000000 -- [-1256.886] (-1334.189) (-1344.202) (-1281.552) * (-1352.307) (-1279.687) (-1346.220) [-1267.932] -- 0:00:00
Average standard deviation of split frequencies: 0.012510
Analysis completed in 14 mins 49 seconds
Analysis used 888.48 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1242.80
Likelihood of best state for "cold" chain of run 2 was -1246.87
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
57.9 % ( 64 %) Dirichlet(Revmat{all})
76.8 % ( 62 %) Slider(Revmat{all})
28.4 % ( 34 %) Dirichlet(Pi{all})
30.8 % ( 25 %) Slider(Pi{all})
73.8 % ( 48 %) Multiplier(Alpha{1,2})
62.1 % ( 29 %) Multiplier(Alpha{3})
57.9 % ( 21 %) Slider(Pinvar{all})
60.3 % ( 58 %) ExtSPR(Tau{all},V{all})
57.6 % ( 60 %) ExtTBR(Tau{all},V{all})
70.7 % ( 77 %) NNI(Tau{all},V{all})
35.3 % ( 22 %) ParsSPR(Tau{all},V{all})
27.6 % ( 32 %) Multiplier(V{all})
80.2 % ( 78 %) Nodeslider(V{all})
26.9 % ( 26 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
58.3 % ( 52 %) Dirichlet(Revmat{all})
77.0 % ( 76 %) Slider(Revmat{all})
28.2 % ( 29 %) Dirichlet(Pi{all})
30.3 % ( 23 %) Slider(Pi{all})
74.1 % ( 56 %) Multiplier(Alpha{1,2})
62.7 % ( 42 %) Multiplier(Alpha{3})
58.3 % ( 34 %) Slider(Pinvar{all})
60.3 % ( 58 %) ExtSPR(Tau{all},V{all})
57.9 % ( 50 %) ExtTBR(Tau{all},V{all})
70.8 % ( 73 %) NNI(Tau{all},V{all})
34.9 % ( 36 %) ParsSPR(Tau{all},V{all})
27.7 % ( 27 %) Multiplier(V{all})
80.0 % ( 88 %) Nodeslider(V{all})
26.5 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.05 0.00 0.00
2 | 167547 0.00 0.00
3 | 166792 165843 0.14
4 | 166866 166445 166507
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.04 0.00 0.00
2 | 165709 0.00 0.00
3 | 167022 166624 0.14
4 | 166740 167228 166677
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)
+------------------------------------------------------------+ -1259.01
| 2 2 |
| 2 1 2 2 |
| 2 2 2 1 1 |
| 1 2 2 11 2 |
| 2 1 1 1 2 1 1 2 2 2 2 |
| 2 2 2 1 * 2 * 2 1 1 21 1 2 1|
| 2 1* 1 * 2 2 2 2|
| 1 1 2 1 2 1 11 22 2 1 2 12 |
|1 2 121 2 * 2 1*12 1 2 1 1 |
| 1 1 1 2 1 2 11 2 |
| 2 1 1 2 12 1 2 1 |
| 1 2 1 1 |
| 2 2 1 |
|2 1 |
| 1 1 2 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1277.78
^ ^
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 -1251.61 -1292.15
2 -1250.43 -1293.53
--------------------------------------
TOTAL -1250.85 -1293.06
--------------------------------------
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} 0.106275 0.000587 0.064570 0.156898 0.103622 694.74 757.03 1.000
r(A<->C){all} 0.017300 0.000281 0.000022 0.051697 0.012235 347.03 370.78 1.000
r(A<->G){all} 0.185929 0.004185 0.070993 0.314326 0.177655 184.35 196.99 1.000
r(A<->T){all} 0.048833 0.000857 0.004126 0.106888 0.042813 390.06 393.34 1.000
r(C<->G){all} 0.073734 0.001426 0.009365 0.148504 0.069050 211.45 253.17 1.000
r(C<->T){all} 0.635342 0.006451 0.482112 0.787065 0.638120 107.78 160.71 1.000
r(G<->T){all} 0.038862 0.000713 0.000235 0.092437 0.032908 297.50 319.06 1.000
pi(A){all} 0.262231 0.000291 0.229819 0.296013 0.261740 848.18 880.26 1.000
pi(C){all} 0.242027 0.000276 0.212255 0.275965 0.241476 828.63 862.33 1.001
pi(G){all} 0.218841 0.000273 0.186113 0.250846 0.218500 912.54 980.67 1.000
pi(T){all} 0.276901 0.000297 0.243494 0.309792 0.276756 662.88 770.12 1.000
alpha{1,2} 0.125717 0.066588 0.000086 0.324798 0.085656 919.81 955.00 1.000
alpha{3} 2.178864 1.680042 0.262379 4.735785 1.897378 1066.63 1138.12 1.000
pinvar{all} 0.733322 0.006655 0.579441 0.873816 0.747854 522.25 588.42 1.004
------------------------------------------------------------------------------------------------------
* 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 -- C59
56 -- C6
57 -- C7
58 -- C8
59 -- 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 -- .********.*************************************************
------------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
60 3002 1.000000 0.000000 1.000000 1.000000 2
61 3002 1.000000 0.000000 1.000000 1.000000 2
62 2998 0.998668 0.001884 0.997335 1.000000 2
63 2864 0.954031 0.000000 0.954031 0.954031 2
64 2820 0.939374 0.016959 0.927382 0.951366 2
65 2720 0.906063 0.005653 0.902065 0.910060 2
66 2717 0.905063 0.007066 0.900067 0.910060 2
67 2650 0.882745 0.005653 0.878748 0.886742 2
68 2451 0.816456 0.000471 0.816123 0.816789 2
69 2355 0.784477 0.009893 0.777482 0.791472 2
70 2249 0.749167 0.004240 0.746169 0.752165 2
71 2235 0.744504 0.002355 0.742838 0.746169 2
72 2166 0.721519 0.035803 0.696203 0.746835 2
73 2153 0.717189 0.071135 0.666889 0.767488 2
74 2064 0.687542 0.010364 0.680213 0.694870 2
75 1976 0.658228 0.037687 0.631579 0.684877 2
76 1698 0.565623 0.019786 0.551632 0.579614 2
77 1186 0.395070 0.074432 0.342438 0.447702 2
78 1011 0.336775 0.028737 0.316456 0.357095 2
79 990 0.329780 0.022612 0.313791 0.345769 2
80 985 0.328115 0.007066 0.323118 0.333111 2
81 926 0.308461 0.011306 0.300466 0.316456 2
82 821 0.273484 0.022141 0.257828 0.289141 2
83 727 0.242172 0.018373 0.229181 0.255163 2
84 606 0.201865 0.036745 0.175883 0.227848 2
85 598 0.199201 0.003769 0.196536 0.201865 2
86 596 0.198534 0.021670 0.183211 0.213857 2
87 593 0.197535 0.008951 0.191206 0.203864 2
88 585 0.194870 0.015546 0.183877 0.205863 2
89 580 0.193205 0.014133 0.183211 0.203198 2
90 575 0.191539 0.017430 0.179214 0.203864 2
91 566 0.188541 0.006595 0.183877 0.193205 2
92 560 0.186542 0.002827 0.184544 0.188541 2
93 560 0.186542 0.000942 0.185876 0.187209 2
94 560 0.186542 0.011306 0.178548 0.194537 2
95 556 0.185210 0.003769 0.182545 0.187875 2
96 554 0.184544 0.000000 0.184544 0.184544 2
97 554 0.184544 0.002827 0.182545 0.186542 2
98 544 0.181213 0.006595 0.176549 0.185876 2
99 542 0.180546 0.006595 0.175883 0.185210 2
100 537 0.178881 0.013662 0.169221 0.188541 2
101 534 0.177881 0.001884 0.176549 0.179214 2
102 529 0.176216 0.008951 0.169887 0.182545 2
103 520 0.173218 0.005653 0.169221 0.177215 2
104 465 0.154897 0.005182 0.151233 0.158561 2
105 379 0.126249 0.003298 0.123917 0.128581 2
106 336 0.111925 0.000942 0.111259 0.112592 2
107 329 0.109594 0.011777 0.101266 0.117921 2
108 328 0.109260 0.000000 0.109260 0.109260 2
109 317 0.105596 0.015546 0.094604 0.116589 2
110 310 0.103264 0.005653 0.099267 0.107262 2
111 310 0.103264 0.002827 0.101266 0.105263 2
112 299 0.099600 0.021199 0.084610 0.114590 2
113 296 0.098601 0.005653 0.094604 0.102598 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] 0.001967 0.000002 0.000102 0.004371 0.001697 1.000 2
length{all}[2] 0.000650 0.000000 0.000000 0.001944 0.000448 1.000 2
length{all}[3] 0.000692 0.000001 0.000000 0.002087 0.000469 1.001 2
length{all}[4] 0.000763 0.000001 0.000000 0.002288 0.000524 1.000 2
length{all}[5] 0.000685 0.000000 0.000000 0.002012 0.000461 1.000 2
length{all}[6] 0.001272 0.000001 0.000031 0.003118 0.001025 1.000 2
length{all}[7] 0.000752 0.000001 0.000000 0.002383 0.000505 1.002 2
length{all}[8] 0.000666 0.000000 0.000000 0.002044 0.000460 1.001 2
length{all}[9] 0.000676 0.000001 0.000000 0.002016 0.000447 1.000 2
length{all}[10] 0.001372 0.000001 0.000042 0.003382 0.001128 1.001 2
length{all}[11] 0.000656 0.000000 0.000000 0.002055 0.000443 1.000 2
length{all}[12] 0.000677 0.000001 0.000000 0.002101 0.000452 1.001 2
length{all}[13] 0.002583 0.000002 0.000247 0.005510 0.002269 1.000 2
length{all}[14] 0.000793 0.000001 0.000000 0.002395 0.000528 1.000 2
length{all}[15] 0.000655 0.000000 0.000000 0.001977 0.000435 1.001 2
length{all}[16] 0.001952 0.000001 0.000199 0.004230 0.001724 1.000 2
length{all}[17] 0.000643 0.000000 0.000000 0.001961 0.000433 1.000 2
length{all}[18] 0.000686 0.000000 0.000000 0.002081 0.000472 1.000 2
length{all}[19] 0.000677 0.000000 0.000000 0.001999 0.000451 1.000 2
length{all}[20] 0.000645 0.000000 0.000001 0.002018 0.000431 1.001 2
length{all}[21] 0.000642 0.000000 0.000000 0.002000 0.000433 1.000 2
length{all}[22] 0.001336 0.000001 0.000048 0.003257 0.001096 1.000 2
length{all}[23] 0.000667 0.000000 0.000000 0.001962 0.000466 1.000 2
length{all}[24] 0.000633 0.000000 0.000000 0.001952 0.000417 1.001 2
length{all}[25] 0.000629 0.000000 0.000000 0.001908 0.000442 1.000 2
length{all}[26] 0.000671 0.000000 0.000000 0.001983 0.000450 1.002 2
length{all}[27] 0.000682 0.000000 0.000000 0.002118 0.000456 1.000 2
length{all}[28] 0.000659 0.000000 0.000000 0.002042 0.000448 1.000 2
length{all}[29] 0.000666 0.000000 0.000000 0.002018 0.000455 1.001 2
length{all}[30] 0.000669 0.000000 0.000001 0.002023 0.000450 1.000 2
length{all}[31] 0.002433 0.000002 0.000136 0.005210 0.002122 1.000 2
length{all}[32] 0.000654 0.000000 0.000000 0.001981 0.000446 1.000 2
length{all}[33] 0.000660 0.000000 0.000001 0.001935 0.000453 1.000 2
length{all}[34] 0.001520 0.000001 0.000011 0.003739 0.001268 1.004 2
length{all}[35] 0.000632 0.000000 0.000000 0.001945 0.000418 1.000 2
length{all}[36] 0.000833 0.000001 0.000001 0.002441 0.000573 1.000 2
length{all}[37] 0.000792 0.000001 0.000001 0.002446 0.000530 1.001 2
length{all}[38] 0.000808 0.000001 0.000000 0.002370 0.000548 1.000 2
length{all}[39] 0.000671 0.000000 0.000001 0.002043 0.000450 1.000 2
length{all}[40] 0.001346 0.000001 0.000028 0.003255 0.001077 1.001 2
length{all}[41] 0.000781 0.000001 0.000000 0.002355 0.000529 1.002 2
length{all}[42] 0.000691 0.000000 0.000000 0.002066 0.000499 1.000 2
length{all}[43] 0.000623 0.000000 0.000000 0.001900 0.000419 1.000 2
length{all}[44] 0.001346 0.000001 0.000030 0.003423 0.001084 1.000 2
length{all}[45] 0.001418 0.000001 0.000002 0.003564 0.001159 1.000 2
length{all}[46] 0.000687 0.000000 0.000000 0.002056 0.000469 1.000 2
length{all}[47] 0.000669 0.000001 0.000000 0.002024 0.000454 1.000 2
length{all}[48] 0.000662 0.000000 0.000000 0.001941 0.000450 1.000 2
length{all}[49] 0.000633 0.000000 0.000001 0.001936 0.000425 1.000 2
length{all}[50] 0.000690 0.000001 0.000000 0.002148 0.000440 1.000 2
length{all}[51] 0.000676 0.000001 0.000000 0.002108 0.000449 1.000 2
length{all}[52] 0.000662 0.000000 0.000000 0.002000 0.000443 1.000 2
length{all}[53] 0.001512 0.000001 0.000034 0.003865 0.001205 1.000 2
length{all}[54] 0.000674 0.000000 0.000000 0.001996 0.000465 1.000 2
length{all}[55] 0.000683 0.000000 0.000000 0.002037 0.000460 1.000 2
length{all}[56] 0.000671 0.000001 0.000000 0.002133 0.000454 1.001 2
length{all}[57] 0.001375 0.000001 0.000004 0.003462 0.001097 1.006 2
length{all}[58] 0.001329 0.000001 0.000055 0.003258 0.001051 1.000 2
length{all}[59] 0.000654 0.000000 0.000000 0.002058 0.000429 1.000 2
length{all}[60] 0.002299 0.000002 0.000168 0.005044 0.002030 1.002 2
length{all}[61] 0.002824 0.000003 0.000360 0.005988 0.002489 1.001 2
length{all}[62] 0.002877 0.000003 0.000355 0.006319 0.002563 1.000 2
length{all}[63] 0.001387 0.000001 0.000021 0.003453 0.001115 1.000 2
length{all}[64] 0.001333 0.000001 0.000023 0.003309 0.001076 1.000 2
length{all}[65] 0.001560 0.000001 0.000002 0.003799 0.001294 1.002 2
length{all}[66] 0.001308 0.000001 0.000039 0.003347 0.001031 1.000 2
length{all}[67] 0.001292 0.000001 0.000000 0.003125 0.001075 1.000 2
length{all}[68] 0.001253 0.000001 0.000056 0.003185 0.001022 1.000 2
length{all}[69] 0.001359 0.000001 0.000002 0.003406 0.001135 1.000 2
length{all}[70] 0.001335 0.000001 0.000008 0.003381 0.001049 1.000 2
length{all}[71] 0.001338 0.000001 0.000002 0.003226 0.001079 1.001 2
length{all}[72] 0.001248 0.000001 0.000002 0.003062 0.000987 1.000 2
length{all}[73] 0.001228 0.000001 0.000002 0.003186 0.000992 1.000 2
length{all}[74] 0.001996 0.000002 0.000188 0.004535 0.001732 1.000 2
length{all}[75] 0.001182 0.000001 0.000001 0.002932 0.000947 1.000 2
length{all}[76] 0.001370 0.000001 0.000056 0.003387 0.001124 1.000 2
length{all}[77] 0.001293 0.000001 0.000037 0.003179 0.001039 1.000 2
length{all}[78] 0.000750 0.000001 0.000001 0.002176 0.000510 0.999 2
length{all}[79] 0.000670 0.000000 0.000001 0.002046 0.000487 0.999 2
length{all}[80] 0.000674 0.000000 0.000001 0.001892 0.000472 1.000 2
length{all}[81] 0.001526 0.000001 0.000027 0.003720 0.001218 1.000 2
length{all}[82] 0.001366 0.000001 0.000004 0.003353 0.001124 0.999 2
length{all}[83] 0.001094 0.000001 0.000000 0.003116 0.000794 1.002 2
length{all}[84] 0.001219 0.000001 0.000010 0.003087 0.001020 1.006 2
length{all}[85] 0.000666 0.000000 0.000001 0.001966 0.000475 1.006 2
length{all}[86] 0.000699 0.000000 0.000004 0.002054 0.000473 0.998 2
length{all}[87] 0.000694 0.000001 0.000002 0.002065 0.000442 0.999 2
length{all}[88] 0.000741 0.000001 0.000000 0.002186 0.000520 1.020 2
length{all}[89] 0.000658 0.000001 0.000002 0.002070 0.000435 0.998 2
length{all}[90] 0.000681 0.000000 0.000000 0.002076 0.000458 1.000 2
length{all}[91] 0.000718 0.000001 0.000001 0.002346 0.000477 0.998 2
length{all}[92] 0.000705 0.000001 0.000000 0.002288 0.000471 0.999 2
length{all}[93] 0.000788 0.000001 0.000001 0.002308 0.000530 1.001 2
length{all}[94] 0.000655 0.000000 0.000000 0.002071 0.000439 0.999 2
length{all}[95] 0.000695 0.000001 0.000002 0.002110 0.000453 1.006 2
length{all}[96] 0.000618 0.000000 0.000001 0.001783 0.000435 0.998 2
length{all}[97] 0.000720 0.000001 0.000000 0.002065 0.000513 0.998 2
length{all}[98] 0.000697 0.000001 0.000000 0.002057 0.000475 1.002 2
length{all}[99] 0.000675 0.000000 0.000000 0.002214 0.000452 0.998 2
length{all}[100] 0.000702 0.000001 0.000000 0.002062 0.000486 0.998 2
length{all}[101] 0.000698 0.000001 0.000000 0.002117 0.000465 1.000 2
length{all}[102] 0.000631 0.000000 0.000001 0.001826 0.000425 1.001 2
length{all}[103] 0.000780 0.000001 0.000000 0.002322 0.000548 1.001 2
length{all}[104] 0.000727 0.000001 0.000001 0.002346 0.000464 1.011 2
length{all}[105] 0.001220 0.000001 0.000030 0.003079 0.001031 1.015 2
length{all}[106] 0.000674 0.000001 0.000002 0.002193 0.000409 0.999 2
length{all}[107] 0.000679 0.000001 0.000000 0.001924 0.000436 1.006 2
length{all}[108] 0.001104 0.000001 0.000001 0.002965 0.000883 0.999 2
length{all}[109] 0.000654 0.000001 0.000007 0.002343 0.000375 0.998 2
length{all}[110] 0.000638 0.000000 0.000002 0.002114 0.000404 0.997 2
length{all}[111] 0.000761 0.000001 0.000001 0.002467 0.000485 0.997 2
length{all}[112] 0.001090 0.000001 0.000012 0.002800 0.000941 0.997 2
length{all}[113] 0.000662 0.000000 0.000000 0.002091 0.000433 1.000 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 = 0.012510
Maximum standard deviation of split frequencies = 0.074432
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.020
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C18 (10)
|
|---------------------------------------------------------------------- C8 (58)
|
| /---------------------------------------------------- C20 (13)
| |
| | /----------------- C22 (15)
|-------100-------+ /--------91-------+
| | | \----------------- C24 (17)
| \-------69-------+
| \----------------------------------- C37 (31)
|
| /----------------------------------- C23 (16)
| |
| |----------------------------------- C3 (23)
| |
|----------------88----------------+ /----------------- C5 (45)
| |--------91-------+
| | \----------------- C7 (57)
| |
| \----------------------------------- C6 (56)
|
| /----------------------------------- C11 (3)
| |
| | /----------------- C12 (4)
| |--------72-------+
| | \----------------- C46 (41)
| |
| |----------------------------------- C13 (5)
| |
| |----------------------------------- C14 (6)
| |
| | /----------------- C15 (7)
| |--------82-------+
| | \----------------- C42 (37)
| |
| | /----------------- C16 (8)
| | |
| |--------94-------+----------------- C55 (51)
| | |
| | \----------------- C56 (52)
| |
| |----------------------------------- C17 (9)
| |
| |----------------------------------- C19 (11)
| |
| | /----------------- C21 (14)
| |--------75-------+
| | \----------------- C57 (53)
| |
| |----------------------------------- C27 (20)
| |
| |----------------------------------- C28 (21)
| |
| | /----------------- C29 (22)
+ | |
| | |----------------- C32 (26)
| |--------72-------+
| | |----------------- C33 (27)
| | |
| | \----------------- C34 (28)
| |
| |----------------------------------- C30 (24)
| /-------100------+
| | |----------------------------------- C31 (25)
| | |
| | |----------------------------------- C35 (29)
| | |
| | |----------------------------------- C36 (30)
| | |
| | |----------------------------------- C38 (32)
| | |
| | |----------------------------------- C39 (33)
| | |
| | |----------------------------------- C40 (35)
| | |
| | | /----------------- C41 (36)
| | |--------66-------+
| | | \----------------- C43 (38)
| | |
| | |----------------------------------- C44 (39)
| | |
| | |----------------------------------- C45 (40)
| | |
| | |----------------------------------- C47 (42)
|--------74-------+ |
| | |----------------------------------- C48 (43)
| | |
| | |----------------------------------- C49 (44)
| | |
| | | /----------------- C50 (46)
| | |--------95-------+
| | | \----------------- C51 (47)
| | |
| | |----------------------------------- C52 (48)
| | |
| | |----------------------------------- C53 (49)
| | |
| | |----------------------------------- C54 (50)
| | |
| | |----------------------------------- C58 (54)
| | |
| | |----------------------------------- C59 (55)
| | |
| | \----------------------------------- C9 (59)
| |
| \---------------------------------------------------- C4 (34)
|
| /----------------- C10 (2)
| /-------100-------+
| | \----------------- C2 (12)
\----------------57----------------+
| /----------------- C25 (18)
\--------78-------+
\----------------- C26 (19)
Phylogram (based on average branch lengths):
/------------------- C1 (1)
|
|------------ C18 (10)
|
|----------- C8 (58)
|
| /------------------------- C20 (13)
| |
| | /----- C22 (15)
|---------------------------+ /-------------+
| | | \----- C24 (17)
| \------------------+
| \----------------------- C37 (31)
|
| /------------------- C23 (16)
| |
| |----- C3 (23)
| |
|-----------+ /------------- C5 (45)
| |----------+
| | \------------ C7 (57)
| |
| \----- C6 (56)
|
| /----- C11 (3)
| |
| | /----- C12 (4)
| |----------+
| | \------ C46 (41)
| |
| |----- C13 (5)
| |
| |----------- C14 (6)
| |
| | /------ C15 (7)
| |----------+
| | \------ C42 (37)
| |
| | /----- C16 (8)
| | |
| |-----------+----- C55 (51)
| | |
| | \---- C56 (52)
| |
| |----- C17 (9)
| |
| |----- C19 (11)
| |
| | /------ C21 (14)
| |----------+
| | \-------------- C57 (53)
| |
| |----- C27 (20)
| |
| |----- C28 (21)
| |
| | /------------ C29 (22)
+ | |
| | |----- C32 (26)
| |----------+
| | |----- C33 (27)
| | |
| | \----- C34 (28)
| |
| |---- C30 (24)
| /--------------------------+
| | |----- C31 (25)
| | |
| | |----- C35 (29)
| | |
| | |----- C36 (30)
| | |
| | |----- C38 (32)
| | |
| | |----- C39 (33)
| | |
| | |---- C40 (35)
| | |
| | | /------- C41 (36)
| | |---------+
| | | \------ C43 (38)
| | |
| | |----- C44 (39)
| | |
| | |------------ C45 (40)
| | |
| | |----- C47 (42)
|-----------+ |
| | |---- C48 (43)
| | |
| | |------------ C49 (44)
| | |
| | | /----- C50 (46)
| | |-----------+
| | | \----- C51 (47)
| | |
| | |----- C52 (48)
| | |
| | |----- C53 (49)
| | |
| | |----- C54 (50)
| | |
| | |----- C58 (54)
| | |
| | |----- C59 (55)
| | |
| | \----- C9 (59)
| |
| \-------------- C4 (34)
|
| /----- C10 (2)
| /---------------------+
| | \----- C2 (12)
\-----------+
| /----- C25 (18)
\------------+
\----- C26 (19)
|---------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
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,C18,C8,(C20,((C22,C24),C37)),(C23,C3,(C5,C7),C6),((C11,(C12,C46),C13,C14,(C15,C42),(C16,C55,C56),C17,C19,(C21,C57),C27,C28,(C29,C32,C33,C34),C30,C31,C35,C36,C38,C39,C40,(C41,C43),C44,C45,C47,C48,C49,(C50,C51),C52,C53,C54,C58,C59,C9),C4),((C10,C2),(C25,C26)))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **59** sequences, **217** codons, and **1** partitions from `/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_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) = -1276.32, AIC-c = 2721.01 (84 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.080
### 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 = 0.143
* 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
----
## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.20 sec, SCORE=1000, Nseq=59, Len=217
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU150 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU151 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU152 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU153 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU155 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU156 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU157 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU158 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU159 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL
**************************************************
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWPKYWYDSIRLLMKTRSAW
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFTSWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWVKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU150 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU151 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU152 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU153 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU155 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU156 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU157 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU158 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU159 VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW
***************************** ** *****************
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 ALSPESRLLAGIMDPMGSWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU150 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU151 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU152 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU153 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU155 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU156 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU157 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU158 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU159 ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG
*****************:********************************
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU150 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU151 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU152 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU153 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU155 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU156 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU157 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU158 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU159 ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL
**************************************************
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 HTITTSKAGDARLYKYM
CHN_AH_2004_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 HTITTSKAGDARLYKYM
CHN_HB_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 HTITTSKAGDARLYKYM
CHN_JS_2014_M_AKCH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 HTITTSKAGDARLYKYM
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU150 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU151 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU152 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU153 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU154 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU155 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU156 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU157 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU158 HTITTSKAGDARLYKYM
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU159 HTITTSKAGDARLYKYM
*****************
>CHN_AH_2004_M_AKC54430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGATGCGGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATAAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTAATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCACTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAACCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCGCCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAACCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGATTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGCCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATAAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTAATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >KNU14_04_M_AIT11902_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTTACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATTGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGGGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAAGCCGGTGACGCTCGCCTGTATAAGTATATG >OH1987_M_AHN16222_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53029_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGATGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCACATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTCTATAAGTATATG >PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATATCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTCTGATGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCTACGCGTAATCGTGTGATCTACGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGCTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAAAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACTATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_Swine_Thailand_S5015L_2015_M_AMN91672_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTCTGATGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCTACGCGTAATCGTGTGATCTACGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_Swine_Vietnam_HaNoi6_2015_M_APZ76692_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_Swine_Vietnam_Binh21_2015_M_APZ76700_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Illinois133_2014_M_AIB07787_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Iowa136_2015_M_ANI85827_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGATGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Illinois136_2014_M_AIB07802_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Minnesota140_2015_M_ANI85834_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Nebraska145_2015_M_ANI85848_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Nebraska137_2015_M_ANI85841_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >PDCoV_USA_Ohio137_2014_M_AIB07809_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAAGGAGGCTATGCTACGCGTAATCGTGTGATCTACGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACTATTTGGACCGCAGTTGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGTCAAGTACTGGTATGACTCAATTCGTTTACTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCGATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTTAGAAATCCTCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTCGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTCTATAAGTATATG >SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_IA_2014_8734_M_AHM88402_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Illinois272_2014_NA_AML40841_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATATCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_IL_2014_026PDV_P11_M_AKA97940_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATTGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Illinois273_2014_NA_AML40848_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATATCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Indiana453_2014_NA_AML40806_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTTCATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Iowa459_2014_NA_AML40904_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTTATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota159_2014_NA_AML40862_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota214_2014_NA_AML40785_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCTTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCTTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Minnesota_2013_NA_AML40820_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Nebraska209_2014_NA_AML40869_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGGGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGGGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACATGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_NorthCarolina452_2014_NA_AML40855_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACTGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATATCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG >USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 ATGTCTGACGCAGAAGAGTGGCAAATTATTGTTTTCATTGCGATCATATGGGCGCTTGGCGTCATCCTCCAGGGAGGCTATGCCACGCGTAATCGTGTGATCTATGTTATTAAACTTATTCTGCTTTGGCTGCTCCAACCCTTCACCCTAGTGGTGACCATTTGGACCGCAGTCGACAGATCATCTAAGAAGGACGCAGTTTTCATTGTGTCCATAATTTTTGCCGTACTGACCTTCATATCCTGGGCCAAGTACTGGTATGACTCAATTCGTTTATTAATGAAAACCAGATCTGCATGGGCACTCTCACCTGAGAGTAGACTCCTTGCAGGGATTATGGATCCAATGGGTACATGGAGGTGCATTCCCATCGACCACATGGCTCCAATTCTCACACCAGTCGTTAAGCATGGCAAGCTCAAGCTACACGGGCAAGAGCTGGCCAATGGCATATCAGTCAGAAATCCGCCACAGGATATGGTGATAGTGTCACCAAGTGACACCTTTCACTACACTTTTAAGAAACCTGTGGAATCAAACAACGATCCAGAATTTGCTGTTCTGATATACCAGGGTGACCGCGCTTCAAACGCTGGACTTCACACCATAACCACTTCAAAGGCCGGTGACGCTCGCCTGTATAAGTATATG
>CHN_AH_2004_M_AKC54430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWPKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >KNU14_04_M_AIT11902_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >OH1987_M_AHN16222_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53029_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFTSWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_Swine_Thailand_S5015L_2015_M_AMN91672_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_Swine_Vietnam_HaNoi6_2015_M_APZ76692_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_Swine_Vietnam_Binh21_2015_M_APZ76700_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Illinois133_2014_M_AIB07787_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Iowa136_2015_M_ANI85827_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Illinois136_2014_M_AIB07802_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Minnesota140_2015_M_ANI85834_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Nebraska145_2015_M_ANI85848_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Nebraska137_2015_M_ANI85841_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >PDCoV_USA_Ohio137_2014_M_AIB07809_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWVKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_IA_2014_8734_M_AHM88402_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Illinois272_2014_NA_AML40841_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_IL_2014_026PDV_P11_M_AKA97940_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Illinois273_2014_NA_AML40848_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Indiana453_2014_NA_AML40806_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGSWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Iowa459_2014_NA_AML40904_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota159_2014_NA_AML40862_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota214_2014_NA_AML40785_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Minnesota_2013_NA_AML40820_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Nebraska209_2014_NA_AML40869_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_NorthCarolina452_2014_NA_AML40855_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM >USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MSDAEEWQIIVFIAIIWALGVILQGGYATRNRVIYVIKLILLWLLQPFTL VVTIWTAVDRSSKKDAVFIVSIIFAVLTFISWAKYWYDSIRLLMKTRSAW ALSPESRLLAGIMDPMGTWRCIPIDHMAPILTPVVKHGKLKLHGQELANG ISVRNPPQDMVIVSPSDTFHYTFKKPVESNNDPEFAVLIYQGDRASNAGL HTITTSKAGDARLYKYM
Reading sequence file /data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/fasta/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Found 59 sequences of length 651
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.7%
Found 22 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 3
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 24 polymorphic sites
**p-Value(s)**
----------
NSS: 3.30e-01 (1000 permutations)
Max Chi^2: 9.57e-01 (1000 permutations)
PHI (Permutation): 9.60e-02 (1000 permutations)
PHI (Normal): 5.96e-02
#NEXUS
[ID: 9057257881]
begin taxa;
dimensions ntax=59;
taxlabels
CHN_AH_2004_M_AKC54430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15
HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15
IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
KNU14_04_M_AIT11902_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15
KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15
MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15
Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15
NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15
NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15
OH1987_M_AHN16222_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15
CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53029_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15
PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5015L_2015_M_AMN91672_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_HaNoi6_2015_M_APZ76692_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_Binh21_2015_M_APZ76700_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois133_2014_M_AIB07787_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Iowa136_2015_M_ANI85827_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15
CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois136_2014_M_AIB07802_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Minnesota140_2015_M_ANI85834_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska145_2015_M_ANI85848_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska137_2015_M_ANI85841_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Ohio137_2014_M_AIB07809_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15
SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15
CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15
USA_IA_2014_8734_M_AHM88402_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois272_2014_NA_AML40841_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_IL_2014_026PDV_P11_M_AKA97940_1_NA_USA_Unknown_Porcine_coronavirus_HKU15
USA_Illinois273_2014_NA_AML40848_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Indiana453_2014_NA_AML40806_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15
USA_Iowa459_2014_NA_AML40904_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota159_2014_NA_AML40862_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15
CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15
USA_Minnesota214_2014_NA_AML40785_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota_2013_NA_AML40820_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska209_2014_NA_AML40869_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_NorthCarolina452_2014_NA_AML40855_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15
CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15
CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15
HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15
IN2847_M_AHN16229_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 CHN_AH_2004_M_AKC54430_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15,
2 HKU15_44_M_AFD29189_1_2009_China_Swine_Porcine_coronavirus_HKU15,
3 IL2768_M_AIA60975_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15,
4 KNU14_04_M_AIT11902_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15,
5 KY4813_M_AIA60989_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15,
6 MI6148_M_AIA99520_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15,
7 Michigan_8977_2014_M_AIP90488_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15,
8 NE3579_M_AIA61003_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
9 OH11846_NA_ALJ32187_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15,
10 NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15,
11 OH1987_M_AHN16222_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15,
12 CHN_HB_2014_M_AKC54437_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
13 P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53029_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15,
14 PA3148_M_AIA60996_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15,
15 PDCoV_Swine_Thailand_S5011_2015_M_AMN91623_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15,
16 PDCoV_CHJXNI2_2015_M_ALA13747_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
17 PDCoV_Swine_Thailand_S5015L_2015_M_AMN91672_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15,
18 PDCoV_Swine_Vietnam_HaNoi6_2015_M_APZ76692_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
19 PDCoV_Swine_Vietnam_Binh21_2015_M_APZ76700_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
20 PDCoV_USA_Illinois121_2014_M_AHL45009_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15,
21 PDCoV_USA_Illinois133_2014_M_AIB07787_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
22 PDCoV_USA_Iowa136_2015_M_ANI85827_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15,
23 CHN_JS_2014_M_AKC54444_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15,
24 PDCoV_USA_Illinois136_2014_M_AIB07802_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15,
25 PDCoV_USA_Illinois134_2014_M_AIB07795_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
26 PDCoV_USA_Minnesota140_2015_M_ANI85834_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15,
27 PDCoV_USA_Nebraska145_2015_M_ANI85848_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15,
28 PDCoV_USA_Nebraska137_2015_M_ANI85841_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15,
29 PDCoV_USA_Ohio137_2014_M_AIB07809_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15,
30 SD3424_M_AIA60982_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
31 TT_1115_NA_AMW88199_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15,
32 SdCV_USA_OhioCVM1_2014_M_AIH06859_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
33 USA_Arkansas61_2015_NA_AML40606_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15,
34 CHN_HN_2014_M_ALS54088_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15,
35 USA_IA_2014_8734_M_AHM88402_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
36 USA_Illinois272_2014_NA_AML40841_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
37 USA_IL_2014_026PDV_P11_M_AKA97940_1_NA_USA_Unknown_Porcine_coronavirus_HKU15,
38 USA_Illinois273_2014_NA_AML40848_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
39 USA_Illinois449_2014_NA_AML40813_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15,
40 USA_Indiana453_2014_NA_AML40806_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15,
41 USA_Iowa459_2014_NA_AML40904_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15,
42 USA_Michigan447_2014_NA_AML40792_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
43 USA_Michigan448_2014_NA_AML40799_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
44 USA_Minnesota159_2014_NA_AML40862_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15,
45 CH_Sichuan_S27_2012_M_AKQ63085_1_2012_China_Swine_Porcine_coronavirus_HKU15,
46 USA_Minnesota214_2014_NA_AML40785_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15,
47 USA_Minnesota442_2014_NA_AML40778_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15,
48 USA_Minnesota454_2014_NA_AML40827_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
49 USA_Minnesota455_2014_NA_AML40834_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
50 USA_Minnesota_2013_NA_AML40820_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15,
51 USA_Nebraska209_2014_NA_AML40869_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
52 USA_Nebraska210_2014_NA_AML40876_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
53 USA_NorthCarolina452_2014_NA_AML40855_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15,
54 USA_Ohio444_2014_NA_AML40883_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15,
55 USA_Ohio445_2014_NA_AML40890_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15,
56 CH_SXD1_2015_M_ALD83758_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15,
57 CHN_Tianjin_2016_M_APG38200_1_2016_China_Swine_Porcine_coronavirus_HKU15,
58 HKU15_155_M_AFD29196_1_2010_China_Swine_Porcine_coronavirus_HKU15,
59 IN2847_M_AHN16229_1_2014_02_13_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 = (1:1.697010e-03,10:1.127711e-03,58:1.051029e-03,(13:2.269242e-03,((15:4.350452e-04,17:4.332549e-04)0.906:1.294458e-03,31:2.121923e-03)0.688:1.731861e-03)0.999:2.562522e-03,(16:1.724421e-03,23:4.659611e-04,(45:1.159151e-03,57:1.096601e-03)0.905:1.031153e-03,56:4.541898e-04)0.883:1.074824e-03,((3:4.692879e-04,(4:5.237136e-04,41:5.288507e-04)0.717:9.923426e-04,5:4.608726e-04,6:1.025157e-03,(7:5.046978e-04,37:5.300160e-04)0.816:1.022001e-03,(8:4.602107e-04,51:4.489450e-04,52:4.431129e-04)0.939:1.076338e-03,9:4.465276e-04,11:4.429048e-04,(14:5.282339e-04,53:1.204567e-03)0.749:1.048834e-03,20:4.309554e-04,21:4.331740e-04,(22:1.095680e-03,26:4.500707e-04,27:4.562559e-04,28:4.477801e-04)0.722:9.870503e-04,24:4.165062e-04,25:4.415586e-04,29:4.545009e-04,30:4.498932e-04,32:4.457098e-04,33:4.526534e-04,35:4.176444e-04,(36:5.727666e-04,38:5.475829e-04)0.658:9.469338e-04,39:4.496897e-04,40:1.077243e-03,42:4.992991e-04,43:4.191113e-04,44:1.083653e-03,(46:4.686119e-04,47:4.536973e-04)0.954:1.114907e-03,48:4.496118e-04,49:4.249026e-04,50:4.397298e-04,54:4.653548e-04,55:4.603951e-04,59:4.286206e-04)1.000:2.489018e-03,34:1.268143e-03)0.745:1.078671e-03,((2:4.479235e-04,12:4.515002e-04)1.000:2.029914e-03,(18:4.715038e-04,19:4.508788e-04)0.784:1.135467e-03)0.566:1.124328e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.697010e-03,10:1.127711e-03,58:1.051029e-03,(13:2.269242e-03,((15:4.350452e-04,17:4.332549e-04):1.294458e-03,31:2.121923e-03):1.731861e-03):2.562522e-03,(16:1.724421e-03,23:4.659611e-04,(45:1.159151e-03,57:1.096601e-03):1.031153e-03,56:4.541898e-04):1.074824e-03,((3:4.692879e-04,(4:5.237136e-04,41:5.288507e-04):9.923426e-04,5:4.608726e-04,6:1.025157e-03,(7:5.046978e-04,37:5.300160e-04):1.022001e-03,(8:4.602107e-04,51:4.489450e-04,52:4.431129e-04):1.076338e-03,9:4.465276e-04,11:4.429048e-04,(14:5.282339e-04,53:1.204567e-03):1.048834e-03,20:4.309554e-04,21:4.331740e-04,(22:1.095680e-03,26:4.500707e-04,27:4.562559e-04,28:4.477801e-04):9.870503e-04,24:4.165062e-04,25:4.415586e-04,29:4.545009e-04,30:4.498932e-04,32:4.457098e-04,33:4.526534e-04,35:4.176444e-04,(36:5.727666e-04,38:5.475829e-04):9.469338e-04,39:4.496897e-04,40:1.077243e-03,42:4.992991e-04,43:4.191113e-04,44:1.083653e-03,(46:4.686119e-04,47:4.536973e-04):1.114907e-03,48:4.496118e-04,49:4.249026e-04,50:4.397298e-04,54:4.653548e-04,55:4.603951e-04,59:4.286206e-04):2.489018e-03,34:1.268143e-03):1.078671e-03,((2:4.479235e-04,12:4.515002e-04):2.029914e-03,(18:4.715038e-04,19:4.508788e-04):1.135467e-03):1.124328e-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 -1127.77 -1148.47
2 -1129.14 -1149.48
--------------------------------------
TOTAL -1128.24 -1149.10
--------------------------------------
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} 0.050056 0.000118 0.031644 0.071166 0.048907 1145.11 1309.88 1.000
r(A<->C){all} 0.028466 0.000775 0.000009 0.084635 0.020440 372.13 375.60 1.003
r(A<->G){all} 0.206992 0.004495 0.082616 0.333887 0.201570 264.75 324.40 1.000
r(A<->T){all} 0.051137 0.001170 0.000585 0.117086 0.043708 362.11 447.20 1.001
r(C<->G){all} 0.094074 0.002611 0.012232 0.193047 0.085443 322.18 324.65 1.000
r(C<->T){all} 0.563675 0.007716 0.381205 0.724733 0.563962 316.05 330.05 1.003
r(G<->T){all} 0.055655 0.001378 0.002059 0.127808 0.048625 425.37 441.52 1.007
pi(A){all} 0.263555 0.000300 0.225584 0.294966 0.263602 897.68 917.06 1.000
pi(C){all} 0.243153 0.000263 0.214167 0.277183 0.242674 1092.60 1161.51 1.001
pi(G){all} 0.218967 0.000242 0.188479 0.249153 0.218666 1083.69 1124.08 1.000
pi(T){all} 0.274326 0.000299 0.240892 0.307644 0.274961 935.52 1018.72 1.000
alpha{1,2} 0.622052 0.704463 0.000023 2.255639 0.302602 849.29 876.49 1.000
alpha{3} 1.772951 1.339159 0.114053 4.199260 1.554415 1109.98 1150.01 1.000
pinvar{all} 0.295717 0.041180 0.000013 0.667437 0.267699 454.59 621.83 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.
[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,C18,C8,(C20,((C22,C24),C37)),(C23,C3,(C5,C7),C6),((C11,(C12,C46),C13,C14,(C15,C42),(C16,C55,C56),C17,C19,(C21,C57),C27,C28,(C29,C32,C33,C34),C30,C31,C35,C36,C38,C39,C40,(C41,C43),C44,C45,C47,C48,C49,(C50,C51),C52,C53,C54,C58,C59,C9),C4),((C10,C2),(C25,C26)))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **59** sequences, **217** codons, and **1** partitions from `/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_M_ANA78466_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_M_ANA78466_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) = -1276.32, AIC-c = 2721.01 (84 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.080 ### 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 = 0.143 * 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 ---- ## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
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
