--- 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      -1532.72         -1558.23
        2      -1532.53         -1563.14
      --------------------------------------
      TOTAL    -1532.62         -1562.45
      --------------------------------------


      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}         0.082739    0.000170    0.058873    0.108173    0.081693   1366.45   1430.87    1.001
      r(A<->C){all}   0.138947    0.002694    0.049481    0.244073    0.133626    467.40    499.87    1.000
      r(A<->G){all}   0.206684    0.003643    0.100408    0.328648    0.203263    412.69    440.44    1.001
      r(A<->T){all}   0.021244    0.000259    0.000112    0.052659    0.017624    736.04    764.58    1.000
      r(C<->G){all}   0.022645    0.000482    0.000028    0.066081    0.016052    588.27    622.46    1.001
      r(C<->T){all}   0.522248    0.004724    0.388374    0.658400    0.523663    566.60    630.99    1.000
      r(G<->T){all}   0.088232    0.000960    0.033792    0.150853    0.084717    507.55    643.64    1.000
      pi(A){all}      0.199486    0.000191    0.171021    0.224560    0.199188    847.72   1037.71    1.001
      pi(C){all}      0.181248    0.000167    0.156598    0.205652    0.181102   1171.41   1249.97    1.000
      pi(G){all}      0.214315    0.000188    0.187417    0.241479    0.214298    968.45   1047.88    1.000
      pi(T){all}      0.404951    0.000270    0.373708    0.437977    0.405219   1027.49   1097.17    1.001
      alpha{1,2}      0.389585    0.365892    0.000105    1.494356    0.185571    624.66    800.82    1.000
      alpha{3}        1.839187    1.473654    0.181159    4.345382    1.560764   1070.84   1219.18    1.000
      pinvar{all}     0.325976    0.030697    0.000069    0.602949    0.331244    793.16    803.23    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 Thu Nov 17 16:37:14 GMT 2022 --

-- Iteration: /working_dir/input/2_modified/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result--

-- Starting log on Thu Nov 17 16:45:33 GMT 2022 --

-- Iteration: /working_dir/input/2_modified/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result--

-- Starting log on Thu Nov 17 16:37:14 GMT 2022 --

-- Iteration: /working_dir/input/2_modified/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result--

-- Starting log on Fri Nov 18 02:32:57 GMT 2022 --

-- Iteration: /working_dir/pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/gapped_alignment/fubar,LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.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 90 taxa and 840 characters
      Missing data coded as ?
      Data matrix is interleaved
      Data is Dna
      Gaps coded as -
      Matching characters coded as .
      Taxon  1 -> C14
      Taxon  2 -> C65
      Taxon  3 -> C598
      Taxon  4 -> C287
      Taxon  5 -> C189
      Taxon  6 -> C195
      Taxon  7 -> C325
      Taxon  8 -> C71
      Taxon  9 -> C589
      Taxon 10 -> C203
      Taxon 11 -> C207
      Taxon 12 -> C599
      Taxon 13 -> C331
      Taxon 14 -> C565
      Taxon 15 -> C381
      Taxon 16 -> C224
      Taxon 17 -> C211
      Taxon 18 -> C338
      Taxon 19 -> C81
      Taxon 20 -> C68
      Taxon 21 -> C63
      Taxon 22 -> C504
      Taxon 23 -> C543
      Taxon 24 -> C223
      Taxon 25 -> C344
      Taxon 26 -> C87
      Taxon 27 -> C206
      Taxon 28 -> C123
      Taxon 29 -> C528
      Taxon 30 -> C235
      Taxon 31 -> C350
      Taxon 32 -> C93
      Taxon 33 -> C31
      Taxon 34 -> C571
      Taxon 35 -> C183
      Taxon 36 -> C552
      Taxon 37 -> C247
      Taxon 38 -> C356
      Taxon 39 -> C99
      Taxon 40 -> C482
      Taxon 41 -> C243
      Taxon 42 -> C576
      Taxon 43 -> C259
      Taxon 44 -> C362
      Taxon 45 -> C60
      Taxon 46 -> C105
      Taxon 47 -> C620
      Taxon 48 -> C303
      Taxon 49 -> C600
      Taxon 50 -> C271
      Taxon 51 -> C368
      Taxon 52 -> C111
      Taxon 53 -> C159
      Taxon 54 -> C619
      Taxon 55 -> C624
      Taxon 56 -> C369
      Taxon 57 -> C283
      Taxon 58 -> C374
      Taxon 59 -> C117
      Taxon 60 -> C52
      Taxon 61 -> C32
      Taxon 62 -> C313
      Taxon 63 -> C551
      Taxon 64 -> C380
      Taxon 65 -> C34
      Taxon 66 -> C27
      Taxon 67 -> C641
      Taxon 68 -> C141
      Taxon 69 -> C417
      Taxon 70 -> C347
      Taxon 71 -> C4
      Taxon 72 -> C385
      Taxon 73 -> C129
      Taxon 74 -> C291
      Taxon 75 -> C483
      Taxon 76 -> C377
      Taxon 77 -> C583
      Taxon 78 -> C559
      Taxon 79 -> C391
      Taxon 80 -> C135
      Taxon 81 -> C441
      Taxon 82 -> C549
      Taxon 83 -> C407
      Taxon 84 -> C595
      Taxon 85 -> C397
      Taxon 86 -> C70
      Taxon 87 -> C591
      Taxon 88 -> C615
      Taxon 89 -> C575
      Taxon 90 -> C437
      Successfully read matrix
      Setting default partition (does not divide up characters)
      Setting model defaults
      Seed (for generating default start values) = 1668738779
      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) = 1046891241
      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 = 1971224789
      Seed = 1269026875
      Swapseed = 1668738779
      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 27 unique site patterns
      Division 2 has 20 unique site patterns
      Division 3 has 58 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 -- -4087.428258 -- 149.597508
         Chain 2 -- -4121.720487 -- 149.597508
         Chain 3 -- -4143.098023 -- 149.597508
         Chain 4 -- -4121.935517 -- 149.597508

      Initial log likelihoods and log prior probs for run 2:
         Chain 1 -- -4134.657454 -- 149.597508
         Chain 2 -- -4129.796608 -- 149.597508
         Chain 3 -- -4150.688088 -- 149.597508
         Chain 4 -- -4150.187493 -- 149.597508


      Using a relative burnin of 25.0 % for diagnostics

      Chain results (1000000 generations requested):

          0 -- [-4087.428] (-4121.720) (-4143.098) (-4121.936) * [-4134.657] (-4129.797) (-4150.688) (-4150.187) 
       1000 -- (-2905.806) (-2815.377) (-3018.146) [-2743.943] * [-2680.193] (-2802.212) (-3014.424) (-2720.530) -- 0:49:57
       2000 -- (-2663.543) (-2577.507) (-2576.717) [-2471.782] * (-2535.715) [-2540.563] (-2557.203) (-2608.731) -- 0:58:13
       3000 -- (-2379.399) (-2407.766) (-2529.446) [-2382.619] * (-2429.527) [-2423.852] (-2463.838) (-2548.190) -- 1:00:55
       4000 -- (-2280.519) (-2348.800) (-2358.357) [-2308.203] * [-2289.744] (-2380.245) (-2386.440) (-2504.879) -- 0:58:06
       5000 -- [-2248.325] (-2314.594) (-2286.689) (-2290.292) * [-2251.527] (-2345.801) (-2366.653) (-2479.256) -- 0:59:42

      Average standard deviation of split frequencies: 0.087971

       6000 -- (-2224.093) [-2219.007] (-2275.741) (-2292.040) * [-2229.725] (-2271.827) (-2345.200) (-2432.920) -- 1:00:44
       7000 -- (-2225.507) [-2204.547] (-2227.526) (-2259.982) * [-2196.486] (-2251.543) (-2295.603) (-2379.151) -- 0:59:06
       8000 -- [-2200.615] (-2219.854) (-2223.049) (-2231.471) * [-2177.334] (-2224.674) (-2282.654) (-2368.621) -- 0:59:56
       9000 -- [-2174.231] (-2193.805) (-2219.334) (-2240.784) * [-2174.324] (-2218.667) (-2268.697) (-2355.938) -- 1:00:33
      10000 -- (-2184.569) [-2190.068] (-2245.327) (-2215.619) * [-2163.464] (-2218.971) (-2246.278) (-2348.527) -- 0:59:24

      Average standard deviation of split frequencies: 0.107867

      11000 -- (-2178.521) [-2172.181] (-2230.870) (-2209.666) * [-2157.671] (-2209.921) (-2227.661) (-2344.949) -- 0:59:56
      12000 -- (-2194.195) [-2150.278] (-2240.130) (-2201.566) * [-2151.714] (-2216.978) (-2234.744) (-2334.607) -- 0:59:00
      13000 -- (-2213.862) [-2126.423] (-2213.527) (-2191.735) * [-2135.798] (-2230.765) (-2220.036) (-2345.814) -- 0:59:28
      14000 -- (-2185.691) [-2132.450] (-2229.156) (-2170.526) * [-2136.467] (-2230.504) (-2214.242) (-2356.406) -- 0:59:51
      15000 -- (-2177.738) [-2131.566] (-2226.392) (-2155.341) * [-2152.625] (-2212.588) (-2184.711) (-2346.314) -- 0:59:06

      Average standard deviation of split frequencies: 0.114419

      16000 -- (-2172.824) [-2136.230] (-2200.605) (-2171.200) * [-2142.992] (-2218.753) (-2186.031) (-2345.740) -- 0:59:27
      17000 -- (-2178.503) (-2139.580) (-2223.148) [-2160.825] * [-2155.229] (-2173.873) (-2190.235) (-2336.814) -- 0:59:45
      18000 -- (-2161.114) [-2134.322] (-2206.038) (-2158.128) * [-2148.703] (-2171.842) (-2183.020) (-2333.745) -- 0:59:06
      19000 -- (-2173.644) (-2130.884) (-2188.727) [-2156.231] * [-2148.400] (-2171.298) (-2180.956) (-2330.209) -- 0:59:22
      20000 -- (-2149.567) [-2124.224] (-2209.055) (-2166.804) * [-2143.238] (-2157.543) (-2191.820) (-2327.292) -- 0:58:48

      Average standard deviation of split frequencies: 0.122121

      21000 -- [-2147.638] (-2132.428) (-2181.505) (-2193.752) * (-2142.735) [-2150.525] (-2196.665) (-2326.509) -- 0:59:03
      22000 -- [-2151.750] (-2144.155) (-2170.744) (-2190.983) * [-2136.043] (-2152.714) (-2174.863) (-2319.592) -- 0:58:31
      23000 -- [-2138.553] (-2129.855) (-2191.574) (-2200.589) * [-2144.413] (-2171.954) (-2188.200) (-2319.201) -- 0:57:20
      24000 -- (-2132.753) [-2117.617] (-2153.003) (-2190.853) * (-2149.795) [-2153.930] (-2164.253) (-2299.877) -- 0:56:56
      25000 -- (-2148.785) [-2119.410] (-2163.178) (-2201.505) * (-2167.029) [-2138.402] (-2183.515) (-2313.731) -- 0:55:54

      Average standard deviation of split frequencies: 0.088571

      26000 -- (-2134.436) [-2135.460] (-2166.035) (-2209.249) * (-2162.273) [-2132.247] (-2187.408) (-2313.468) -- 0:55:34
      27000 -- [-2129.385] (-2140.840) (-2143.630) (-2206.972) * (-2144.434) [-2141.608] (-2203.018) (-2341.069) -- 0:54:39
      28000 -- (-2143.887) [-2129.293] (-2148.071) (-2167.510) * [-2135.040] (-2154.692) (-2205.982) (-2324.975) -- 0:54:23
      29000 -- (-2133.835) [-2117.452] (-2148.960) (-2194.065) * [-2136.792] (-2160.003) (-2198.045) (-2333.651) -- 0:54:07
      30000 -- [-2134.998] (-2121.240) (-2160.579) (-2184.750) * (-2139.161) [-2155.789] (-2163.138) (-2314.360) -- 0:53:21

      Average standard deviation of split frequencies: 0.094427

      31000 -- [-2146.448] (-2123.525) (-2157.697) (-2233.699) * [-2149.908] (-2160.136) (-2185.587) (-2321.255) -- 0:53:08
      32000 -- (-2177.344) [-2119.526] (-2148.075) (-2183.220) * [-2146.842] (-2147.610) (-2175.572) (-2318.536) -- 0:52:26
      33000 -- (-2223.078) (-2136.559) [-2136.145] (-2192.095) * [-2135.387] (-2147.409) (-2179.018) (-2326.284) -- 0:52:15
      34000 -- (-2189.875) [-2133.440] (-2147.568) (-2193.569) * [-2148.495] (-2151.801) (-2194.391) (-2321.561) -- 0:51:36
      35000 -- (-2201.253) [-2148.613] (-2143.668) (-2188.714) * (-2156.290) [-2133.869] (-2179.838) (-2324.210) -- 0:51:28

      Average standard deviation of split frequencies: 0.087633

      36000 -- (-2196.282) (-2152.007) [-2127.242] (-2169.439) * (-2140.653) [-2119.993] (-2175.846) (-2325.793) -- 0:51:19
      37000 -- (-2195.956) [-2133.061] (-2141.059) (-2159.677) * (-2151.260) [-2138.202] (-2186.473) (-2307.883) -- 0:50:45
      38000 -- (-2170.423) [-2134.670] (-2139.694) (-2197.101) * (-2154.345) [-2126.839] (-2195.830) (-2299.211) -- 0:50:37
      39000 -- (-2167.412) [-2139.096] (-2143.250) (-2185.850) * (-2163.764) [-2135.969] (-2175.742) (-2318.157) -- 0:50:06
      40000 -- (-2176.259) [-2128.075] (-2140.619) (-2179.546) * (-2154.211) [-2141.826] (-2176.696) (-2306.258) -- 0:50:00

      Average standard deviation of split frequencies: 0.087309

      41000 -- (-2209.674) [-2138.350] (-2156.676) (-2170.280) * (-2163.926) [-2151.751] (-2177.707) (-2310.249) -- 0:49:30
      42000 -- (-2207.135) [-2140.101] (-2169.143) (-2164.258) * (-2160.431) [-2151.301] (-2164.925) (-2307.201) -- 0:49:25
      43000 -- (-2205.598) [-2131.888] (-2177.411) (-2169.464) * (-2164.367) [-2140.034] (-2173.469) (-2336.670) -- 0:48:57
      44000 -- (-2193.160) [-2143.704] (-2162.881) (-2160.625) * (-2172.169) [-2132.455] (-2201.752) (-2336.982) -- 0:48:53
      45000 -- (-2197.746) [-2130.259] (-2170.829) (-2156.541) * (-2159.579) [-2130.318] (-2187.301) (-2306.741) -- 0:48:48

      Average standard deviation of split frequencies: 0.078443

      46000 -- (-2182.723) [-2135.815] (-2166.433) (-2155.469) * (-2141.019) [-2131.586] (-2190.068) (-2299.624) -- 0:48:23
      47000 -- (-2198.133) (-2161.587) (-2167.570) [-2158.821] * (-2151.296) [-2129.529] (-2188.601) (-2298.166) -- 0:48:19
      48000 -- (-2194.368) [-2152.924] (-2180.417) (-2141.108) * (-2158.369) [-2127.063] (-2184.860) (-2303.200) -- 0:47:55
      49000 -- (-2185.256) (-2158.848) (-2191.687) [-2153.795] * [-2141.642] (-2129.610) (-2188.199) (-2315.008) -- 0:47:52
      50000 -- (-2199.775) (-2139.971) (-2184.656) [-2136.411] * (-2141.969) [-2128.986] (-2181.126) (-2319.179) -- 0:47:30

      Average standard deviation of split frequencies: 0.082186

      51000 -- (-2185.062) (-2150.264) (-2210.300) [-2144.026] * [-2138.172] (-2137.443) (-2188.314) (-2325.363) -- 0:47:27
      52000 -- (-2194.214) [-2145.410] (-2193.187) (-2147.474) * (-2133.436) [-2133.107] (-2168.087) (-2315.587) -- 0:47:05
      53000 -- (-2177.017) [-2138.369] (-2182.872) (-2162.697) * (-2120.331) [-2132.665] (-2175.672) (-2314.055) -- 0:46:45
      54000 -- (-2187.757) (-2166.420) (-2198.062) [-2136.286] * (-2135.323) [-2126.558] (-2174.721) (-2306.996) -- 0:46:42
      55000 -- (-2194.389) (-2174.206) (-2185.071) [-2130.625] * (-2144.774) [-2121.785] (-2170.675) (-2294.787) -- 0:46:23

      Average standard deviation of split frequencies: 0.084179

      56000 -- (-2184.582) (-2184.318) (-2180.414) [-2130.307] * (-2153.957) [-2117.277] (-2160.883) (-2318.662) -- 0:46:21
      57000 -- (-2154.690) (-2153.832) (-2189.741) [-2137.558] * (-2175.169) [-2108.376] (-2170.021) (-2318.975) -- 0:46:02
      58000 -- (-2161.981) (-2154.131) (-2220.941) [-2143.948] * (-2173.370) [-2117.435] (-2177.003) (-2312.791) -- 0:46:01
      59000 -- (-2161.325) (-2153.516) (-2230.501) [-2136.927] * (-2172.328) [-2129.873] (-2177.508) (-2307.609) -- 0:45:43
      60000 -- (-2150.060) [-2129.634] (-2203.745) (-2156.096) * (-2166.551) [-2128.595] (-2189.843) (-2307.069) -- 0:45:41

      Average standard deviation of split frequencies: 0.089889

      61000 -- (-2182.415) [-2135.077] (-2191.517) (-2132.375) * (-2158.356) [-2116.779] (-2183.163) (-2292.685) -- 0:45:24
      62000 -- (-2199.612) [-2139.406] (-2188.668) (-2152.187) * (-2161.653) [-2123.401] (-2175.057) (-2317.135) -- 0:45:23
      63000 -- (-2189.314) [-2136.353] (-2192.300) (-2148.334) * (-2178.417) [-2127.963] (-2186.046) (-2312.733) -- 0:45:06
      64000 -- (-2190.698) [-2129.138] (-2184.048) (-2162.132) * (-2171.687) [-2133.341] (-2165.849) (-2322.377) -- 0:45:05
      65000 -- (-2207.444) (-2145.238) (-2181.534) [-2149.457] * (-2160.079) [-2135.869] (-2177.516) (-2316.693) -- 0:45:04

      Average standard deviation of split frequencies: 0.084981

      66000 -- (-2187.930) (-2146.479) (-2201.554) [-2140.652] * (-2152.323) [-2130.414] (-2152.129) (-2307.833) -- 0:44:48
      67000 -- (-2216.714) (-2163.359) (-2186.903) [-2143.808] * (-2170.463) [-2123.681] (-2146.477) (-2299.653) -- 0:44:47
      68000 -- (-2204.735) (-2185.099) (-2167.204) [-2136.317] * (-2181.278) [-2122.863] (-2164.785) (-2311.724) -- 0:44:46
      69000 -- (-2213.667) (-2178.202) (-2155.825) [-2143.605] * (-2181.370) [-2113.147] (-2156.997) (-2313.304) -- 0:44:31
      70000 -- (-2223.399) (-2183.478) [-2144.524] (-2147.069) * (-2182.028) [-2126.578] (-2165.431) (-2300.421) -- 0:44:30

      Average standard deviation of split frequencies: 0.090260

      71000 -- (-2207.835) (-2148.279) (-2153.326) [-2136.504] * (-2197.199) [-2125.807] (-2147.886) (-2296.279) -- 0:44:16
      72000 -- (-2180.072) (-2154.031) [-2140.924] (-2151.360) * (-2171.106) (-2129.148) [-2135.157] (-2299.300) -- 0:44:15
      73000 -- (-2212.038) (-2148.044) [-2135.907] (-2162.546) * (-2163.074) [-2139.255] (-2148.563) (-2288.659) -- 0:44:01
      74000 -- (-2201.140) (-2153.020) [-2139.725] (-2160.336) * (-2157.940) [-2142.018] (-2146.281) (-2287.970) -- 0:44:00
      75000 -- (-2209.088) [-2142.558] (-2144.626) (-2163.754) * (-2163.165) (-2133.912) [-2128.595] (-2298.019) -- 0:43:47

      Average standard deviation of split frequencies: 0.083670

      76000 -- (-2219.426) (-2144.756) [-2148.914] (-2171.408) * (-2134.598) (-2159.287) [-2126.485] (-2280.824) -- 0:43:46
      77000 -- (-2192.166) (-2150.853) [-2147.604] (-2191.089) * (-2154.295) [-2140.826] (-2149.735) (-2292.196) -- 0:43:33
      78000 -- (-2168.626) [-2142.923] (-2169.837) (-2179.662) * (-2159.262) [-2130.340] (-2142.171) (-2304.230) -- 0:43:32
      79000 -- (-2211.054) [-2143.883] (-2143.688) (-2162.072) * (-2155.183) [-2135.030] (-2159.530) (-2294.912) -- 0:43:31
      80000 -- (-2196.327) (-2161.062) [-2145.924] (-2176.478) * (-2148.476) [-2131.167] (-2151.170) (-2293.540) -- 0:43:19

      Average standard deviation of split frequencies: 0.078095

      81000 -- (-2194.757) (-2196.218) [-2156.889] (-2148.191) * (-2152.513) [-2142.736] (-2146.423) (-2311.158) -- 0:43:18
      82000 -- (-2199.769) (-2187.900) [-2149.245] (-2154.505) * (-2148.820) [-2141.132] (-2151.048) (-2313.160) -- 0:43:06
      83000 -- (-2170.028) (-2187.580) [-2154.392] (-2162.545) * (-2155.946) [-2130.583] (-2153.110) (-2316.774) -- 0:43:05
      84000 -- (-2185.887) (-2176.763) [-2146.998] (-2159.544) * (-2160.103) [-2131.024] (-2154.039) (-2322.477) -- 0:42:53
      85000 -- (-2170.133) (-2173.427) [-2134.026] (-2143.558) * (-2150.713) [-2129.251] (-2152.300) (-2309.776) -- 0:42:52

      Average standard deviation of split frequencies: 0.075245

      86000 -- (-2175.865) (-2166.226) [-2136.280] (-2166.750) * (-2146.281) [-2135.571] (-2172.774) (-2321.392) -- 0:42:51
      87000 -- (-2186.476) (-2201.099) [-2140.413] (-2150.042) * (-2137.548) [-2130.506] (-2154.895) (-2325.616) -- 0:42:40
      88000 -- (-2201.637) (-2165.358) [-2130.358] (-2154.400) * (-2139.094) [-2123.290] (-2144.048) (-2331.749) -- 0:42:39
      89000 -- (-2214.879) (-2160.126) (-2134.954) [-2124.629] * (-2155.270) [-2121.472] (-2153.197) (-2329.236) -- 0:42:28
      90000 -- (-2188.397) (-2150.116) (-2153.077) [-2124.446] * (-2137.379) [-2124.509] (-2171.560) (-2309.508) -- 0:42:17

      Average standard deviation of split frequencies: 0.075142

      91000 -- (-2198.199) (-2179.955) (-2133.526) [-2127.530] * [-2139.030] (-2134.137) (-2180.514) (-2298.519) -- 0:42:17
      92000 -- (-2192.977) (-2184.786) (-2138.222) [-2135.141] * (-2159.996) [-2130.348] (-2193.002) (-2315.105) -- 0:42:16
      93000 -- (-2195.708) (-2201.408) (-2139.015) [-2124.843] * [-2127.389] (-2139.399) (-2173.208) (-2317.053) -- 0:42:05
      94000 -- (-2174.133) (-2226.130) [-2133.892] (-2127.109) * (-2145.286) [-2127.630] (-2187.121) (-2326.624) -- 0:42:05
      95000 -- (-2186.268) (-2222.992) [-2142.042] (-2150.278) * [-2151.184] (-2150.537) (-2184.711) (-2333.863) -- 0:41:54

      Average standard deviation of split frequencies: 0.075331

      96000 -- (-2179.039) (-2182.722) [-2131.295] (-2142.965) * [-2129.585] (-2163.369) (-2191.720) (-2317.010) -- 0:41:54
      97000 -- (-2189.088) (-2172.706) (-2137.921) [-2130.984] * [-2129.848] (-2171.766) (-2174.593) (-2301.407) -- 0:41:44
      98000 -- (-2205.194) (-2184.929) (-2146.258) [-2124.073] * [-2138.714] (-2159.033) (-2192.652) (-2301.542) -- 0:41:43
      99000 -- (-2189.108) (-2176.708) (-2134.434) [-2129.210] * (-2142.592) [-2135.368] (-2182.560) (-2302.223) -- 0:41:42
      100000 -- (-2177.807) (-2203.707) [-2118.018] (-2121.437) * (-2157.949) (-2149.311) [-2152.998] (-2318.071) -- 0:41:33

      Average standard deviation of split frequencies: 0.082463

      101000 -- (-2158.414) (-2204.354) (-2135.025) [-2118.390] * [-2138.390] (-2149.486) (-2155.486) (-2306.926) -- 0:41:32
      102000 -- (-2162.362) (-2200.028) (-2124.478) [-2119.195] * (-2179.095) (-2156.826) [-2143.308] (-2298.718) -- 0:41:31
      103000 -- (-2159.833) (-2199.161) (-2132.706) [-2140.607] * (-2181.556) [-2136.203] (-2161.281) (-2304.327) -- 0:41:39
      104000 -- (-2165.167) (-2166.008) [-2124.392] (-2141.506) * (-2179.779) [-2145.770] (-2155.740) (-2311.443) -- 0:41:47
      105000 -- (-2208.576) (-2161.430) (-2129.839) [-2135.435] * (-2168.510) (-2147.387) [-2137.572] (-2326.977) -- 0:41:46

      Average standard deviation of split frequencies: 0.084389

      106000 -- (-2211.617) (-2146.251) (-2154.155) [-2133.329] * (-2150.859) (-2157.363) [-2136.024] (-2319.725) -- 0:41:53
      107000 -- (-2202.217) [-2135.966] (-2147.414) (-2156.825) * (-2161.682) (-2181.868) [-2127.443] (-2313.808) -- 0:42:00
      108000 -- (-2215.099) [-2134.092] (-2182.928) (-2162.203) * (-2154.655) (-2162.346) [-2117.627] (-2309.667) -- 0:42:07
      109000 -- (-2209.627) (-2156.363) (-2158.181) [-2143.057] * (-2148.133) (-2160.695) [-2110.989] (-2296.306) -- 0:42:14
      110000 -- (-2190.830) (-2146.083) (-2161.234) [-2126.631] * (-2149.993) (-2172.593) [-2126.129] (-2302.458) -- 0:42:20

      Average standard deviation of split frequencies: 0.082717

      111000 -- (-2184.333) (-2141.973) (-2161.744) [-2130.673] * (-2161.817) (-2158.729) [-2116.903] (-2315.134) -- 0:42:26
      112000 -- (-2194.207) (-2168.869) (-2137.869) [-2135.097] * (-2172.632) (-2160.855) [-2122.278] (-2319.261) -- 0:42:25
      113000 -- (-2206.364) (-2151.634) [-2135.937] (-2158.071) * (-2166.169) (-2166.124) [-2113.989] (-2312.529) -- 0:42:31
      114000 -- (-2199.758) (-2155.217) [-2121.370] (-2149.567) * (-2172.629) (-2150.090) [-2125.790] (-2304.650) -- 0:42:36
      115000 -- (-2194.402) [-2126.045] (-2128.996) (-2141.234) * (-2164.765) (-2147.814) [-2130.156] (-2298.596) -- 0:42:42

      Average standard deviation of split frequencies: 0.078413

      116000 -- (-2190.402) [-2128.499] (-2145.682) (-2158.977) * (-2174.186) (-2152.295) [-2124.645] (-2304.148) -- 0:42:40
      117000 -- (-2201.013) (-2133.542) [-2131.224] (-2149.577) * (-2162.606) (-2156.483) [-2126.466] (-2282.417) -- 0:42:45
      118000 -- (-2191.027) [-2133.655] (-2142.361) (-2146.422) * (-2194.892) (-2151.700) [-2131.072] (-2284.652) -- 0:42:51
      119000 -- (-2168.841) (-2151.910) [-2120.732] (-2149.647) * (-2171.014) (-2167.524) [-2133.077] (-2306.393) -- 0:42:48
      120000 -- (-2181.700) (-2137.769) [-2132.646] (-2194.930) * (-2174.887) (-2162.208) [-2129.207] (-2313.300) -- 0:42:54

      Average standard deviation of split frequencies: 0.078042

      121000 -- (-2170.948) (-2143.284) [-2146.172] (-2159.181) * (-2182.093) (-2174.728) [-2133.766] (-2300.006) -- 0:42:51
      122000 -- (-2185.013) [-2132.038] (-2146.360) (-2148.471) * (-2170.767) [-2138.780] (-2144.805) (-2300.074) -- 0:42:49
      123000 -- (-2166.432) [-2135.827] (-2153.130) (-2130.217) * (-2153.907) (-2154.773) [-2130.712] (-2317.262) -- 0:42:46
      124000 -- (-2169.108) (-2163.592) (-2162.207) [-2145.478] * (-2153.976) (-2148.433) [-2124.274] (-2330.046) -- 0:42:37
      125000 -- (-2163.820) (-2151.061) (-2156.428) [-2146.109] * (-2158.574) (-2169.915) [-2131.813] (-2322.411) -- 0:42:35

      Average standard deviation of split frequencies: 0.074660

      126000 -- (-2180.531) [-2147.620] (-2156.603) (-2149.478) * (-2150.095) (-2156.053) [-2126.649] (-2319.943) -- 0:42:25
      127000 -- (-2196.972) (-2158.174) (-2143.256) [-2144.490] * (-2150.584) (-2167.795) [-2118.606] (-2306.424) -- 0:42:23
      128000 -- (-2158.963) (-2170.432) (-2137.140) [-2132.584] * (-2145.348) (-2195.441) [-2133.211] (-2310.374) -- 0:42:14
      129000 -- (-2143.596) (-2189.164) [-2140.299] (-2151.302) * (-2134.913) (-2177.155) [-2124.198] (-2290.628) -- 0:42:11
      130000 -- (-2175.070) (-2189.356) (-2147.367) [-2133.879] * [-2140.835] (-2174.921) (-2127.297) (-2302.886) -- 0:42:03

      Average standard deviation of split frequencies: 0.071593

      131000 -- (-2154.262) (-2169.093) (-2140.020) [-2130.629] * (-2154.746) (-2153.807) [-2119.925] (-2294.559) -- 0:42:00
      132000 -- (-2157.202) (-2182.214) (-2163.403) [-2126.665] * (-2159.120) (-2160.498) [-2123.389] (-2290.766) -- 0:41:58
      133000 -- (-2153.204) (-2182.658) (-2146.453) [-2133.583] * (-2160.342) (-2149.180) [-2118.644] (-2307.096) -- 0:41:49
      134000 -- (-2145.418) (-2193.859) (-2162.653) [-2141.057] * (-2141.267) (-2161.705) [-2132.228] (-2302.373) -- 0:41:47
      135000 -- [-2134.592] (-2182.772) (-2158.705) (-2136.703) * (-2140.583) (-2159.752) [-2119.594] (-2313.290) -- 0:41:38

      Average standard deviation of split frequencies: 0.068862

      136000 -- [-2129.047] (-2177.331) (-2151.785) (-2141.958) * (-2163.796) (-2161.319) [-2130.751] (-2325.018) -- 0:41:36
      137000 -- [-2130.386] (-2163.961) (-2162.101) (-2146.048) * (-2163.367) (-2154.105) [-2136.894] (-2328.024) -- 0:41:34
      138000 -- [-2133.923] (-2209.123) (-2165.948) (-2147.105) * (-2162.503) [-2147.331] (-2146.056) (-2312.684) -- 0:41:26
      139000 -- [-2137.773] (-2190.113) (-2171.343) (-2145.673) * (-2182.900) (-2140.620) [-2127.070] (-2322.384) -- 0:41:23
      140000 -- [-2144.388] (-2189.313) (-2174.869) (-2156.215) * (-2168.769) (-2148.239) [-2119.613] (-2338.096) -- 0:41:15

      Average standard deviation of split frequencies: 0.066791

      141000 -- (-2147.248) (-2198.518) (-2174.578) [-2142.064] * (-2153.421) (-2151.965) [-2113.480] (-2344.319) -- 0:41:13
      142000 -- [-2145.390] (-2186.582) (-2194.859) (-2142.412) * (-2162.816) (-2168.678) [-2133.696] (-2323.616) -- 0:41:11
      143000 -- [-2131.150] (-2174.703) (-2203.106) (-2144.258) * (-2148.436) (-2157.232) [-2136.158] (-2317.499) -- 0:41:03
      144000 -- (-2142.358) (-2169.883) (-2183.300) [-2138.334] * (-2152.538) (-2160.932) [-2122.144] (-2313.307) -- 0:41:01
      145000 -- [-2144.551] (-2169.422) (-2179.065) (-2137.413) * (-2143.566) (-2162.927) [-2130.929] (-2303.764) -- 0:40:52

      Average standard deviation of split frequencies: 0.064276

      146000 -- [-2119.231] (-2160.340) (-2189.761) (-2154.765) * (-2137.826) (-2163.893) [-2130.045] (-2291.586) -- 0:40:50
      147000 -- (-2138.131) (-2189.991) (-2167.420) [-2141.344] * (-2146.896) (-2169.014) [-2133.061] (-2309.688) -- 0:40:48
      148000 -- [-2132.510] (-2159.892) (-2169.428) (-2153.790) * (-2150.681) (-2172.125) [-2126.787] (-2304.850) -- 0:40:40
      149000 -- (-2141.907) (-2168.147) [-2150.358] (-2180.963) * (-2154.537) (-2164.606) [-2130.045] (-2318.410) -- 0:40:38
      150000 -- [-2131.301] (-2188.176) (-2166.743) (-2165.808) * (-2138.715) (-2171.816) [-2125.613] (-2303.103) -- 0:40:31

      Average standard deviation of split frequencies: 0.061965

      151000 -- [-2126.426] (-2161.820) (-2163.369) (-2176.827) * (-2136.808) (-2160.198) [-2138.037] (-2319.561) -- 0:40:28
      152000 -- [-2122.440] (-2172.619) (-2151.816) (-2185.777) * (-2136.368) [-2159.235] (-2161.547) (-2324.305) -- 0:40:26
      153000 -- [-2133.325] (-2195.641) (-2149.491) (-2181.003) * (-2149.474) [-2151.922] (-2158.425) (-2321.035) -- 0:40:19
      154000 -- [-2131.694] (-2196.868) (-2139.743) (-2181.337) * [-2159.049] (-2156.640) (-2157.019) (-2315.370) -- 0:40:17
      155000 -- (-2136.239) (-2176.335) [-2136.075] (-2193.041) * (-2174.612) [-2140.214] (-2144.915) (-2319.658) -- 0:40:09

      Average standard deviation of split frequencies: 0.059331

      156000 -- (-2141.521) (-2169.749) [-2126.142] (-2175.910) * (-2154.119) [-2149.992] (-2150.364) (-2315.578) -- 0:40:07
      157000 -- [-2136.832] (-2161.823) (-2142.370) (-2176.148) * (-2154.669) [-2145.239] (-2150.144) (-2312.493) -- 0:40:05
      158000 -- (-2137.939) (-2178.399) [-2138.457] (-2175.943) * (-2175.005) [-2137.009] (-2152.403) (-2312.838) -- 0:39:58
      159000 -- [-2140.014] (-2209.600) (-2141.469) (-2142.230) * (-2176.156) [-2153.517] (-2153.889) (-2307.473) -- 0:39:56
      160000 -- (-2147.902) (-2188.715) [-2134.865] (-2145.568) * (-2179.818) [-2143.752] (-2144.953) (-2303.161) -- 0:39:48

      Average standard deviation of split frequencies: 0.057654

      161000 -- (-2148.775) (-2188.988) (-2137.494) [-2149.355] * (-2161.674) [-2126.918] (-2152.051) (-2298.326) -- 0:39:46
      162000 -- [-2128.593] (-2200.020) (-2150.924) (-2154.527) * (-2166.831) [-2122.471] (-2138.690) (-2315.654) -- 0:39:39
      163000 -- (-2163.187) (-2237.022) (-2142.913) [-2143.934] * (-2175.294) [-2119.166] (-2146.003) (-2303.895) -- 0:39:37
      164000 -- (-2140.969) (-2194.380) [-2137.992] (-2141.345) * (-2162.562) [-2124.030] (-2126.254) (-2317.004) -- 0:39:30
      165000 -- (-2150.564) (-2195.724) [-2144.144] (-2143.056) * (-2185.240) (-2140.614) [-2126.715] (-2306.529) -- 0:39:28

      Average standard deviation of split frequencies: 0.057222

      166000 -- (-2138.805) (-2191.940) [-2144.739] (-2148.789) * (-2182.874) (-2135.921) [-2133.267] (-2312.089) -- 0:39:26
      167000 -- [-2144.285] (-2184.663) (-2151.675) (-2153.020) * (-2172.277) (-2129.073) [-2129.471] (-2300.956) -- 0:39:24
      168000 -- [-2146.388] (-2159.083) (-2163.677) (-2144.560) * (-2168.172) (-2125.197) [-2126.493] (-2316.620) -- 0:39:22
      169000 -- (-2151.036) (-2190.874) (-2163.069) [-2136.906] * (-2199.034) [-2126.490] (-2130.373) (-2325.674) -- 0:39:20
      170000 -- (-2151.618) (-2170.434) (-2165.433) [-2145.760] * (-2170.658) (-2129.740) [-2126.468] (-2325.906) -- 0:39:13

      Average standard deviation of split frequencies: 0.054298

      171000 -- (-2157.914) (-2195.489) (-2176.200) [-2129.617] * (-2187.120) (-2146.949) [-2130.038] (-2322.158) -- 0:39:11
      172000 -- (-2178.520) (-2190.379) (-2157.794) [-2131.390] * (-2207.257) (-2147.344) [-2123.475] (-2322.974) -- 0:39:09
      173000 -- (-2162.665) (-2185.174) (-2145.279) [-2146.290] * (-2196.951) [-2135.831] (-2136.915) (-2318.267) -- 0:39:02
      174000 -- (-2168.344) (-2165.603) [-2158.530] (-2141.537) * (-2190.158) [-2135.415] (-2146.141) (-2317.671) -- 0:39:00
      175000 -- (-2174.483) (-2172.868) [-2145.969] (-2126.255) * (-2190.569) [-2138.604] (-2136.658) (-2330.966) -- 0:38:53

      Average standard deviation of split frequencies: 0.054133

      176000 -- (-2190.606) (-2168.978) [-2145.303] (-2131.794) * (-2190.322) [-2141.149] (-2149.298) (-2321.992) -- 0:38:51
      177000 -- (-2189.597) (-2192.329) [-2134.755] (-2130.026) * [-2156.794] (-2147.722) (-2133.471) (-2308.016) -- 0:38:49
      178000 -- (-2181.742) (-2202.512) [-2124.016] (-2145.522) * (-2165.597) (-2151.895) [-2134.435] (-2303.913) -- 0:38:42
      179000 -- (-2181.467) (-2190.144) [-2128.238] (-2164.667) * (-2165.277) (-2150.890) [-2145.334] (-2305.530) -- 0:38:40
      180000 -- (-2184.407) (-2203.909) [-2112.493] (-2155.322) * (-2155.943) (-2156.296) [-2133.857] (-2312.322) -- 0:38:38

      Average standard deviation of split frequencies: 0.051361

      181000 -- (-2217.696) (-2172.866) [-2129.580] (-2157.354) * [-2133.875] (-2174.649) (-2146.065) (-2300.328) -- 0:38:32
      182000 -- (-2191.273) (-2158.800) [-2127.298] (-2160.274) * [-2132.614] (-2167.049) (-2146.910) (-2327.962) -- 0:38:30
      183000 -- (-2197.510) (-2146.763) [-2131.403] (-2192.562) * [-2143.341] (-2165.079) (-2153.038) (-2324.466) -- 0:38:28
      184000 -- (-2192.464) (-2154.595) [-2133.221] (-2156.140) * (-2150.410) [-2159.673] (-2146.332) (-2317.944) -- 0:38:21
      185000 -- (-2192.251) (-2146.656) [-2125.370] (-2186.887) * (-2160.935) [-2152.163] (-2139.042) (-2327.725) -- 0:38:19

      Average standard deviation of split frequencies: 0.052023

      186000 -- (-2219.920) [-2141.940] (-2131.231) (-2167.015) * (-2162.886) [-2133.917] (-2137.412) (-2339.810) -- 0:38:17
      187000 -- (-2212.964) (-2134.418) [-2126.397] (-2174.918) * (-2154.859) [-2131.462] (-2141.438) (-2328.648) -- 0:38:11
      188000 -- (-2218.818) (-2166.454) (-2121.379) [-2151.532] * (-2150.068) [-2120.748] (-2151.345) (-2343.234) -- 0:38:09
      189000 -- (-2184.420) (-2156.460) [-2120.101] (-2139.296) * (-2145.283) [-2128.312] (-2171.704) (-2343.330) -- 0:38:07
      190000 -- (-2215.052) (-2156.286) [-2113.579] (-2161.451) * [-2128.432] (-2128.505) (-2172.563) (-2315.511) -- 0:38:00

      Average standard deviation of split frequencies: 0.051985

      191000 -- (-2211.883) (-2141.939) [-2124.486] (-2135.015) * (-2141.369) [-2131.946] (-2163.107) (-2303.277) -- 0:37:58
      192000 -- (-2210.093) (-2141.791) (-2143.208) [-2133.190] * [-2135.869] (-2139.741) (-2169.398) (-2307.440) -- 0:37:52
      193000 -- (-2201.747) (-2154.239) [-2128.858] (-2136.427) * [-2126.681] (-2139.957) (-2168.408) (-2307.133) -- 0:37:50
      194000 -- (-2178.938) (-2141.402) [-2125.814] (-2159.637) * (-2136.677) [-2150.259] (-2162.532) (-2317.450) -- 0:37:44
      195000 -- (-2179.564) (-2138.750) [-2122.554] (-2171.248) * [-2133.015] (-2160.972) (-2154.910) (-2323.818) -- 0:37:42

      Average standard deviation of split frequencies: 0.050887

      196000 -- (-2188.476) (-2146.555) [-2128.417] (-2175.651) * [-2138.726] (-2137.983) (-2163.559) (-2325.128) -- 0:37:36
      197000 -- (-2175.567) (-2135.224) [-2126.619] (-2173.195) * [-2138.790] (-2145.938) (-2170.514) (-2337.886) -- 0:37:34
      198000 -- (-2141.183) (-2134.606) [-2135.967] (-2159.699) * [-2144.410] (-2154.356) (-2162.565) (-2331.963) -- 0:37:32
      199000 -- (-2146.042) (-2143.526) [-2142.333] (-2178.117) * [-2135.355] (-2146.332) (-2160.331) (-2316.434) -- 0:37:26
      200000 -- (-2148.287) (-2141.395) [-2131.426] (-2174.342) * (-2152.674) [-2147.469] (-2160.202) (-2320.391) -- 0:37:24

      Average standard deviation of split frequencies: 0.048282

      201000 -- [-2143.945] (-2150.297) (-2118.712) (-2196.747) * (-2167.650) [-2143.729] (-2163.068) (-2310.966) -- 0:37:17
      202000 -- (-2158.388) (-2158.007) [-2123.203] (-2186.108) * (-2169.112) [-2133.884] (-2146.621) (-2316.846) -- 0:37:15
      203000 -- (-2171.328) (-2159.233) [-2126.076] (-2190.157) * (-2157.267) [-2126.399] (-2174.464) (-2318.696) -- 0:37:10
      204000 -- (-2164.154) (-2162.631) [-2132.713] (-2192.245) * (-2162.159) [-2131.780] (-2146.183) (-2311.958) -- 0:37:08
      205000 -- (-2155.675) (-2162.056) [-2133.649] (-2194.920) * (-2146.567) [-2131.225] (-2156.520) (-2299.661) -- 0:37:02

      Average standard deviation of split frequencies: 0.045286

      206000 -- (-2170.466) [-2153.940] (-2139.798) (-2194.482) * (-2146.063) [-2134.162] (-2162.250) (-2326.121) -- 0:37:00
      207000 -- (-2188.177) (-2151.026) [-2135.687] (-2179.968) * (-2151.107) [-2138.161] (-2175.582) (-2302.737) -- 0:36:54
      208000 -- (-2195.415) (-2158.725) [-2139.689] (-2156.986) * (-2156.884) [-2139.831] (-2204.668) (-2305.654) -- 0:36:52
      209000 -- (-2207.455) (-2149.604) [-2139.153] (-2177.102) * (-2154.048) [-2129.281] (-2182.737) (-2291.336) -- 0:36:50
      210000 -- (-2201.984) [-2149.432] (-2144.807) (-2145.241) * (-2169.675) [-2141.369] (-2174.755) (-2297.344) -- 0:36:44

      Average standard deviation of split frequencies: 0.044467

      211000 -- (-2198.678) (-2141.269) (-2154.788) [-2139.548] * (-2154.627) [-2142.737] (-2159.679) (-2299.107) -- 0:36:42
      212000 -- (-2213.560) (-2145.628) [-2127.121] (-2180.697) * (-2161.070) [-2131.768] (-2164.548) (-2317.118) -- 0:36:36
      213000 -- (-2209.293) (-2163.603) [-2132.903] (-2162.136) * (-2167.505) [-2128.100] (-2161.140) (-2329.315) -- 0:36:34
      214000 -- (-2224.555) (-2176.163) [-2129.967] (-2156.001) * (-2129.419) [-2124.865] (-2155.508) (-2288.006) -- 0:36:29
      215000 -- (-2202.852) (-2161.910) [-2128.735] (-2160.775) * [-2132.052] (-2156.185) (-2149.059) (-2284.527) -- 0:36:27

      Average standard deviation of split frequencies: 0.044682

      216000 -- (-2197.212) (-2154.276) [-2123.988] (-2151.511) * (-2137.832) [-2166.544] (-2179.809) (-2297.267) -- 0:36:21
      217000 -- (-2228.979) (-2164.992) [-2136.990] (-2152.226) * [-2156.144] (-2180.887) (-2166.494) (-2294.074) -- 0:36:19
      218000 -- (-2214.751) (-2169.146) [-2129.878] (-2151.743) * [-2149.554] (-2161.268) (-2178.180) (-2287.211) -- 0:36:13
      219000 -- (-2252.026) (-2163.830) [-2123.766] (-2157.499) * [-2137.109] (-2148.859) (-2163.320) (-2301.645) -- 0:36:11
      220000 -- (-2205.415) (-2176.766) [-2126.344] (-2145.263) * [-2134.087] (-2165.169) (-2171.873) (-2296.584) -- 0:36:09

      Average standard deviation of split frequencies: 0.042321

      221000 -- (-2215.737) (-2145.588) [-2123.746] (-2153.431) * [-2132.371] (-2149.883) (-2163.709) (-2300.908) -- 0:36:04
      222000 -- (-2218.076) (-2130.819) [-2129.619] (-2162.033) * (-2138.246) [-2154.942] (-2165.836) (-2303.652) -- 0:36:02
      223000 -- (-2249.556) [-2130.780] (-2130.635) (-2183.017) * [-2130.128] (-2157.162) (-2169.319) (-2324.941) -- 0:35:56
      224000 -- (-2254.054) (-2136.119) [-2130.750] (-2161.774) * [-2135.412] (-2150.462) (-2162.534) (-2324.793) -- 0:35:54
      225000 -- (-2213.172) (-2145.033) [-2123.797] (-2191.954) * [-2140.916] (-2134.536) (-2163.296) (-2315.486) -- 0:35:52

      Average standard deviation of split frequencies: 0.040646

      226000 -- (-2205.691) [-2129.255] (-2127.887) (-2175.674) * [-2137.967] (-2145.260) (-2157.571) (-2315.823) -- 0:35:47
      227000 -- (-2213.162) [-2142.223] (-2131.440) (-2164.510) * (-2138.159) [-2137.214] (-2162.518) (-2309.795) -- 0:35:45
      228000 -- (-2179.030) (-2174.562) [-2141.088] (-2176.162) * [-2142.210] (-2172.926) (-2167.161) (-2309.149) -- 0:35:39
      229000 -- (-2191.513) (-2178.290) [-2147.498] (-2174.686) * [-2134.635] (-2157.328) (-2179.049) (-2338.858) -- 0:35:37
      230000 -- (-2177.527) (-2180.378) [-2137.765] (-2184.784) * [-2147.866] (-2155.793) (-2163.441) (-2340.943) -- 0:35:32

      Average standard deviation of split frequencies: 0.040930

      231000 -- (-2188.077) (-2170.243) [-2132.081] (-2158.420) * [-2149.705] (-2188.652) (-2149.753) (-2310.680) -- 0:35:30
      232000 -- (-2191.523) (-2159.139) (-2150.883) [-2153.948] * [-2123.716] (-2172.133) (-2159.548) (-2306.701) -- 0:35:25
      233000 -- (-2185.991) (-2189.976) [-2135.373] (-2157.037) * [-2124.610] (-2169.159) (-2157.438) (-2295.398) -- 0:35:23
      234000 -- (-2187.605) (-2167.885) [-2125.562] (-2154.360) * [-2123.681] (-2166.790) (-2150.478) (-2315.132) -- 0:35:17
      235000 -- (-2202.806) (-2170.038) [-2131.225] (-2161.045) * [-2138.179] (-2180.064) (-2135.438) (-2316.942) -- 0:35:15

      Average standard deviation of split frequencies: 0.040489

      236000 -- (-2228.859) (-2161.575) [-2134.609] (-2156.572) * [-2138.799] (-2156.075) (-2153.425) (-2317.788) -- 0:35:10
      237000 -- (-2206.309) (-2140.876) [-2132.158] (-2156.301) * [-2134.552] (-2150.091) (-2143.829) (-2320.310) -- 0:35:08
      238000 -- (-2202.301) (-2145.297) [-2121.814] (-2136.973) * (-2152.771) (-2144.890) [-2129.530] (-2308.950) -- 0:35:06
      239000 -- (-2206.083) (-2165.127) [-2115.746] (-2147.786) * (-2143.207) (-2151.165) [-2136.179] (-2311.661) -- 0:35:01
      240000 -- (-2204.862) (-2146.851) [-2129.254] (-2178.748) * (-2158.397) (-2155.422) [-2124.335] (-2318.775) -- 0:34:59

      Average standard deviation of split frequencies: 0.040618

      241000 -- (-2202.388) (-2153.605) [-2113.984] (-2155.154) * (-2172.624) (-2150.000) [-2120.141] (-2321.640) -- 0:34:54
      242000 -- (-2210.998) (-2149.292) [-2107.234] (-2163.185) * (-2159.557) (-2159.398) [-2121.516] (-2316.582) -- 0:34:52
      243000 -- (-2203.108) (-2152.770) [-2117.761] (-2154.516) * (-2172.421) (-2168.551) [-2125.369] (-2299.134) -- 0:34:47
      244000 -- (-2188.504) (-2156.902) [-2133.319] (-2149.160) * (-2177.765) [-2152.628] (-2138.183) (-2314.407) -- 0:34:45
      245000 -- (-2194.256) (-2147.378) [-2130.527] (-2161.808) * (-2177.540) (-2166.593) [-2123.609] (-2316.992) -- 0:34:40

      Average standard deviation of split frequencies: 0.040948

      246000 -- (-2196.694) (-2146.720) [-2132.024] (-2163.952) * (-2182.017) (-2158.286) [-2122.768] (-2319.665) -- 0:34:38
      247000 -- (-2177.633) [-2148.462] (-2135.151) (-2185.805) * (-2149.033) (-2161.355) [-2139.688] (-2305.804) -- 0:34:33
      248000 -- (-2179.769) (-2156.817) [-2136.547] (-2173.694) * (-2138.154) (-2161.516) [-2139.712] (-2298.957) -- 0:34:31
      249000 -- (-2204.142) (-2153.702) [-2142.587] (-2166.062) * (-2132.304) (-2148.853) [-2136.008] (-2294.984) -- 0:34:29
      250000 -- (-2194.185) [-2157.503] (-2153.411) (-2161.130) * [-2132.138] (-2160.970) (-2144.863) (-2312.007) -- 0:34:24

      Average standard deviation of split frequencies: 0.040087

      251000 -- (-2218.940) (-2163.491) [-2140.277] (-2166.274) * [-2135.653] (-2160.802) (-2148.956) (-2308.115) -- 0:34:21
      252000 -- (-2210.493) (-2157.081) [-2129.689] (-2159.496) * (-2146.431) (-2160.815) [-2139.770] (-2290.857) -- 0:34:17
      253000 -- (-2180.420) (-2168.746) [-2136.522] (-2148.633) * (-2143.356) (-2162.200) [-2133.425] (-2305.144) -- 0:34:14
      254000 -- (-2206.680) (-2185.893) [-2127.951] (-2161.927) * (-2155.625) (-2164.041) [-2155.811] (-2298.266) -- 0:34:12
      255000 -- (-2180.985) (-2186.940) [-2123.732] (-2155.371) * [-2146.863] (-2157.366) (-2157.591) (-2297.476) -- 0:34:08

      Average standard deviation of split frequencies: 0.039009

      256000 -- (-2164.734) (-2218.340) [-2132.336] (-2167.470) * [-2140.607] (-2146.159) (-2160.667) (-2300.267) -- 0:34:05
      257000 -- (-2177.997) (-2173.053) [-2137.676] (-2144.338) * [-2142.895] (-2158.719) (-2153.824) (-2296.585) -- 0:34:01
      258000 -- (-2159.741) (-2190.142) [-2136.172] (-2134.979) * [-2136.425] (-2172.554) (-2150.891) (-2306.433) -- 0:33:59
      259000 -- (-2158.142) (-2196.793) (-2145.296) [-2135.741] * [-2127.878] (-2174.797) (-2146.373) (-2313.931) -- 0:33:57
      260000 -- (-2169.719) (-2200.918) [-2141.453] (-2149.082) * [-2127.823] (-2161.633) (-2144.119) (-2312.236) -- 0:33:52

      Average standard deviation of split frequencies: 0.038613

      261000 -- (-2157.635) (-2195.309) [-2120.977] (-2141.687) * [-2127.638] (-2177.150) (-2145.099) (-2307.273) -- 0:33:50
      262000 -- (-2148.787) (-2212.180) [-2132.645] (-2155.719) * [-2136.138] (-2173.925) (-2149.952) (-2300.719) -- 0:33:45
      263000 -- (-2141.655) (-2202.715) [-2133.030] (-2161.995) * [-2140.847] (-2174.053) (-2145.208) (-2315.973) -- 0:33:43
      264000 -- (-2130.886) (-2177.549) [-2114.176] (-2151.874) * [-2125.881] (-2166.317) (-2141.114) (-2319.135) -- 0:33:41
      265000 -- [-2127.897] (-2196.029) (-2122.637) (-2160.358) * [-2124.962] (-2158.644) (-2150.875) (-2318.733) -- 0:33:36

      Average standard deviation of split frequencies: 0.039419

      266000 -- (-2135.474) (-2167.814) [-2133.498] (-2141.732) * [-2138.608] (-2165.282) (-2149.399) (-2307.581) -- 0:33:34
      267000 -- (-2128.819) (-2147.501) (-2146.308) [-2133.551] * [-2137.610] (-2151.527) (-2145.327) (-2318.480) -- 0:33:32
      268000 -- (-2150.824) (-2175.040) (-2143.666) [-2142.255] * [-2136.012] (-2149.827) (-2156.157) (-2305.189) -- 0:33:27
      269000 -- (-2141.749) (-2186.610) (-2152.793) [-2136.955] * [-2133.353] (-2149.710) (-2148.041) (-2305.345) -- 0:33:25
      270000 -- [-2142.258] (-2169.839) (-2150.473) (-2147.849) * [-2132.582] (-2163.354) (-2150.301) (-2315.196) -- 0:33:20

      Average standard deviation of split frequencies: 0.039258

      271000 -- (-2138.141) (-2188.220) (-2147.703) [-2139.827] * (-2158.316) [-2174.015] (-2144.102) (-2315.877) -- 0:33:18
      272000 -- (-2135.844) (-2181.788) [-2145.359] (-2130.468) * (-2152.950) (-2178.048) [-2131.981] (-2307.778) -- 0:33:16
      273000 -- (-2130.012) (-2179.638) (-2177.701) [-2128.574] * (-2155.477) (-2186.945) [-2142.062] (-2300.533) -- 0:33:11
      274000 -- (-2128.418) (-2204.090) (-2158.325) [-2136.487] * (-2140.041) (-2178.530) [-2141.229] (-2304.222) -- 0:33:09
      275000 -- [-2126.988] (-2178.394) (-2174.339) (-2128.780) * (-2143.438) (-2168.993) [-2135.764] (-2312.584) -- 0:33:05

      Average standard deviation of split frequencies: 0.040022

      276000 -- (-2141.347) (-2203.185) (-2162.255) [-2139.676] * (-2128.080) (-2192.742) [-2135.557] (-2312.278) -- 0:33:03
      277000 -- (-2130.025) (-2200.863) (-2145.331) [-2132.945] * [-2132.937] (-2201.745) (-2141.108) (-2318.642) -- 0:33:01
      278000 -- [-2112.796] (-2192.875) (-2133.097) (-2141.674) * [-2142.543] (-2158.019) (-2160.001) (-2329.212) -- 0:32:56
      279000 -- (-2124.790) (-2201.585) (-2153.181) [-2144.916] * [-2139.524] (-2150.973) (-2165.115) (-2313.004) -- 0:32:54
      280000 -- (-2127.101) (-2186.818) (-2152.488) [-2138.932] * [-2140.441] (-2159.429) (-2152.799) (-2320.429) -- 0:32:49

      Average standard deviation of split frequencies: 0.041717

      281000 -- [-2114.096] (-2207.581) (-2138.475) (-2160.881) * [-2137.492] (-2178.125) (-2154.785) (-2318.072) -- 0:32:47
      282000 -- [-2128.766] (-2240.444) (-2154.285) (-2156.706) * [-2130.312] (-2152.750) (-2175.442) (-2330.952) -- 0:32:45
      283000 -- [-2133.248] (-2223.454) (-2157.873) (-2159.460) * [-2134.716] (-2150.781) (-2179.550) (-2327.444) -- 0:32:40
      284000 -- [-2139.031] (-2196.180) (-2165.406) (-2133.231) * [-2130.670] (-2156.537) (-2160.068) (-2329.338) -- 0:32:38
      285000 -- [-2119.822] (-2184.023) (-2177.044) (-2136.716) * [-2136.916] (-2173.915) (-2150.122) (-2310.810) -- 0:32:36

      Average standard deviation of split frequencies: 0.042052

      286000 -- [-2117.787] (-2171.460) (-2143.168) (-2158.551) * (-2165.628) [-2143.878] (-2135.601) (-2302.954) -- 0:32:32
      287000 -- (-2151.350) (-2204.771) [-2131.163] (-2138.276) * (-2147.499) (-2162.117) [-2125.236] (-2310.255) -- 0:32:30
      288000 -- (-2150.036) (-2183.592) (-2145.936) [-2132.076] * (-2157.191) (-2148.791) [-2129.950] (-2328.988) -- 0:32:28
      289000 -- (-2168.309) (-2164.375) (-2137.937) [-2129.868] * (-2152.360) (-2159.050) [-2135.426] (-2342.210) -- 0:32:23
      290000 -- (-2182.914) (-2152.855) [-2117.983] (-2141.280) * (-2136.133) (-2152.911) [-2142.557] (-2341.966) -- 0:32:21

      Average standard deviation of split frequencies: 0.042001

      291000 -- (-2165.353) (-2191.294) [-2123.129] (-2136.157) * [-2144.091] (-2146.803) (-2159.733) (-2332.134) -- 0:32:19
      292000 -- (-2162.591) (-2194.583) (-2133.058) [-2129.866] * [-2146.469] (-2148.995) (-2170.586) (-2318.610) -- 0:32:14
      293000 -- (-2161.875) (-2192.652) (-2150.311) [-2125.370] * (-2144.923) [-2149.089] (-2191.878) (-2315.982) -- 0:32:12
      294000 -- (-2163.869) (-2190.793) (-2151.328) [-2130.745] * (-2163.068) (-2147.894) [-2155.765] (-2323.647) -- 0:32:10
      295000 -- (-2170.307) (-2208.216) (-2132.674) [-2130.111] * (-2158.870) [-2129.019] (-2141.039) (-2307.818) -- 0:32:08

      Average standard deviation of split frequencies: 0.043670

      296000 -- (-2166.015) (-2224.584) [-2133.448] (-2133.443) * (-2144.800) (-2143.226) [-2140.748] (-2319.746) -- 0:32:06
      297000 -- (-2164.605) (-2191.548) [-2127.941] (-2133.426) * [-2147.039] (-2173.471) (-2150.801) (-2309.538) -- 0:32:02
      298000 -- (-2175.979) (-2236.780) (-2131.724) [-2128.797] * (-2151.015) (-2179.052) [-2147.034] (-2309.173) -- 0:31:59
      299000 -- (-2163.130) (-2210.612) [-2138.385] (-2138.149) * (-2136.774) (-2153.432) [-2138.234] (-2307.015) -- 0:31:55
      300000 -- (-2190.738) (-2210.683) [-2146.490] (-2138.639) * [-2139.125] (-2145.778) (-2141.471) (-2291.490) -- 0:31:53

      Average standard deviation of split frequencies: 0.046697

      301000 -- (-2196.077) (-2216.918) (-2153.491) [-2140.067] * (-2147.655) [-2129.878] (-2135.001) (-2283.098) -- 0:31:51
      302000 -- (-2201.196) (-2183.245) (-2154.387) [-2145.221] * (-2159.653) (-2136.291) [-2132.919] (-2288.984) -- 0:31:46
      303000 -- (-2184.771) (-2194.014) (-2143.458) [-2149.692] * (-2172.207) [-2142.647] (-2136.935) (-2287.007) -- 0:31:44
      304000 -- (-2191.006) (-2164.662) (-2152.680) [-2138.959] * (-2170.462) (-2141.103) [-2143.053] (-2297.158) -- 0:31:40
      305000 -- (-2193.763) (-2180.069) (-2165.559) [-2132.181] * (-2172.671) [-2144.567] (-2143.436) (-2282.167) -- 0:31:38

      Average standard deviation of split frequencies: 0.049630

      306000 -- (-2179.729) (-2188.731) (-2182.255) [-2124.382] * (-2167.556) [-2132.425] (-2135.889) (-2293.559) -- 0:31:36
      307000 -- (-2186.286) (-2176.970) (-2167.478) [-2115.073] * (-2173.827) [-2130.196] (-2141.366) (-2300.857) -- 0:31:31
      308000 -- (-2178.416) (-2186.743) (-2171.650) [-2124.081] * (-2180.596) [-2125.980] (-2154.006) (-2308.261) -- 0:31:29
      309000 -- (-2177.191) (-2190.016) (-2180.792) [-2136.526] * (-2165.764) [-2137.478] (-2163.122) (-2301.328) -- 0:31:25
      310000 -- (-2179.396) (-2196.469) (-2159.493) [-2149.740] * (-2152.464) [-2143.101] (-2170.715) (-2285.138) -- 0:31:23

      Average standard deviation of split frequencies: 0.053109

      311000 -- (-2174.509) (-2180.341) (-2152.501) [-2132.705] * (-2160.147) [-2133.908] (-2169.737) (-2280.155) -- 0:31:20
      312000 -- (-2165.749) (-2199.358) (-2157.869) [-2126.799] * (-2163.892) [-2133.983] (-2163.506) (-2296.825) -- 0:31:16
      313000 -- (-2153.161) (-2215.400) (-2148.765) [-2117.383] * (-2158.258) [-2126.400] (-2170.023) (-2296.868) -- 0:31:14
      314000 -- (-2150.661) (-2230.411) (-2163.321) [-2126.595] * (-2169.078) [-2134.283] (-2159.640) (-2295.815) -- 0:31:10
      315000 -- (-2149.209) (-2213.165) (-2171.010) [-2129.487] * (-2145.535) (-2144.366) [-2146.603] (-2302.575) -- 0:31:07

      Average standard deviation of split frequencies: 0.054511

      316000 -- (-2155.577) (-2200.616) (-2150.904) [-2123.672] * (-2144.093) [-2132.932] (-2155.857) (-2301.607) -- 0:31:03
      317000 -- (-2147.726) (-2218.410) (-2153.998) [-2128.997] * [-2147.793] (-2144.506) (-2154.063) (-2303.172) -- 0:31:01
      318000 -- (-2139.761) (-2190.902) (-2158.665) [-2126.066] * (-2158.379) [-2127.865] (-2155.086) (-2303.571) -- 0:30:59
      319000 -- (-2138.368) (-2209.550) (-2150.535) [-2130.830] * (-2154.605) [-2129.797] (-2140.605) (-2302.167) -- 0:30:55
      320000 -- [-2130.099] (-2202.609) (-2158.007) (-2128.712) * (-2169.298) [-2129.480] (-2136.951) (-2299.243) -- 0:30:53

      Average standard deviation of split frequencies: 0.055426

      321000 -- [-2134.348] (-2192.975) (-2156.476) (-2126.493) * (-2177.294) (-2137.713) [-2126.675] (-2299.651) -- 0:30:50
      322000 -- [-2134.078] (-2181.274) (-2156.683) (-2138.159) * (-2155.818) (-2151.776) [-2138.382] (-2308.234) -- 0:30:46
      323000 -- (-2134.682) (-2194.664) (-2155.255) [-2131.619] * [-2162.126] (-2169.355) (-2153.469) (-2328.703) -- 0:30:44
      324000 -- [-2120.575] (-2178.848) (-2148.889) (-2144.414) * (-2152.338) (-2161.753) [-2146.760] (-2309.948) -- 0:30:42
      325000 -- (-2150.539) (-2191.591) (-2158.214) [-2147.628] * (-2144.172) (-2161.263) [-2138.942] (-2308.033) -- 0:30:38

      Average standard deviation of split frequencies: 0.055613

      326000 -- (-2146.286) (-2173.667) (-2154.071) [-2125.450] * (-2148.581) (-2162.210) [-2140.307] (-2312.301) -- 0:30:35
      327000 -- (-2149.793) (-2162.700) (-2166.018) [-2125.907] * [-2153.815] (-2189.612) (-2139.199) (-2305.537) -- 0:30:31
      328000 -- [-2134.362] (-2179.659) (-2174.821) (-2135.544) * (-2149.725) (-2171.521) [-2146.015] (-2309.218) -- 0:30:29
      329000 -- (-2130.885) (-2176.232) (-2178.963) [-2127.299] * [-2135.702] (-2173.901) (-2143.505) (-2312.584) -- 0:30:27
      330000 -- (-2136.922) (-2155.586) (-2157.373) [-2123.302] * [-2139.912] (-2177.330) (-2136.335) (-2310.506) -- 0:30:23

      Average standard deviation of split frequencies: 0.057025

      331000 -- (-2146.375) (-2164.348) (-2181.831) [-2114.606] * [-2145.915] (-2179.799) (-2142.769) (-2319.290) -- 0:30:21
      332000 -- (-2142.814) (-2169.019) (-2194.409) [-2112.257] * (-2142.765) (-2168.992) [-2129.750] (-2307.502) -- 0:30:16
      333000 -- (-2151.811) (-2180.376) (-2183.805) [-2117.547] * (-2156.753) (-2181.145) [-2143.618] (-2323.120) -- 0:30:14
      334000 -- (-2135.739) (-2202.501) (-2192.212) [-2127.406] * (-2144.546) (-2167.447) [-2140.202] (-2317.201) -- 0:30:10
      335000 -- (-2156.755) (-2196.732) (-2185.775) [-2129.594] * [-2145.457] (-2167.628) (-2145.734) (-2317.941) -- 0:30:08

      Average standard deviation of split frequencies: 0.056082

      336000 -- [-2147.540] (-2211.230) (-2166.670) (-2133.991) * (-2173.082) (-2170.788) [-2127.458] (-2317.193) -- 0:30:04
      337000 -- [-2141.030] (-2214.082) (-2160.710) (-2130.335) * (-2165.801) (-2161.835) [-2140.618] (-2325.187) -- 0:30:02
      338000 -- (-2140.494) (-2165.759) (-2159.974) [-2122.755] * (-2180.244) (-2170.122) [-2135.510] (-2327.533) -- 0:29:57
      339000 -- (-2153.582) (-2151.739) (-2168.686) [-2123.264] * (-2168.545) (-2148.507) [-2134.325] (-2297.240) -- 0:29:55
      340000 -- (-2152.076) (-2146.338) (-2164.875) [-2126.247] * (-2145.679) (-2170.354) [-2139.611] (-2289.517) -- 0:29:51

      Average standard deviation of split frequencies: 0.056361

      341000 -- (-2184.223) (-2149.405) (-2174.481) [-2132.035] * [-2148.182] (-2182.369) (-2141.902) (-2297.434) -- 0:29:49
      342000 -- (-2185.933) (-2147.403) (-2175.699) [-2121.322] * [-2147.797] (-2181.322) (-2141.101) (-2293.367) -- 0:29:47
      343000 -- (-2194.438) (-2139.693) (-2178.270) [-2117.524] * (-2160.620) (-2160.560) [-2140.338] (-2295.582) -- 0:29:43
      344000 -- (-2203.479) (-2129.127) (-2178.832) [-2113.219] * (-2157.795) (-2184.391) [-2137.174] (-2296.005) -- 0:29:41
      345000 -- (-2183.995) [-2125.102] (-2176.781) (-2127.956) * (-2147.277) (-2175.960) [-2137.369] (-2316.715) -- 0:29:37

      Average standard deviation of split frequencies: 0.056649

      346000 -- (-2197.855) [-2129.172] (-2158.986) (-2151.451) * (-2149.702) (-2164.160) [-2130.573] (-2310.183) -- 0:29:34
      347000 -- (-2174.974) [-2123.498] (-2196.966) (-2147.121) * (-2153.970) (-2166.982) [-2135.431] (-2316.633) -- 0:29:30
      348000 -- (-2161.962) [-2123.621] (-2179.073) (-2150.916) * (-2145.393) (-2154.591) [-2123.007] (-2319.587) -- 0:29:28
      349000 -- (-2201.485) [-2126.963] (-2158.360) (-2143.072) * (-2151.771) (-2144.476) [-2132.210] (-2325.137) -- 0:29:24
      350000 -- (-2181.273) (-2128.361) (-2179.693) [-2131.843] * (-2161.764) (-2147.530) [-2140.308] (-2337.393) -- 0:29:22

      Average standard deviation of split frequencies: 0.056815

      351000 -- (-2186.436) [-2130.847] (-2174.452) (-2147.035) * (-2167.336) (-2140.585) [-2122.463] (-2321.042) -- 0:29:20
      352000 -- (-2179.623) [-2129.688] (-2179.969) (-2128.040) * (-2181.090) (-2146.413) [-2142.257] (-2308.785) -- 0:29:18
      353000 -- (-2170.048) (-2131.685) (-2192.712) [-2130.913] * (-2175.523) (-2149.465) [-2141.784] (-2306.969) -- 0:29:14
      354000 -- (-2170.568) [-2121.767] (-2207.988) (-2137.474) * (-2169.359) (-2163.958) [-2141.939] (-2303.033) -- 0:29:11
      355000 -- (-2148.488) [-2120.180] (-2179.138) (-2137.245) * (-2168.317) (-2161.555) [-2134.464] (-2314.154) -- 0:29:07

      Average standard deviation of split frequencies: 0.056730

      356000 -- (-2167.261) [-2112.745] (-2170.467) (-2138.381) * (-2175.050) [-2158.482] (-2139.768) (-2315.432) -- 0:29:05
      357000 -- (-2178.646) [-2115.152] (-2155.375) (-2138.773) * (-2174.091) (-2162.681) [-2139.225] (-2310.527) -- 0:29:03
      358000 -- (-2196.423) [-2119.781] (-2152.078) (-2122.885) * (-2160.726) (-2144.767) [-2136.224] (-2316.462) -- 0:28:59
      359000 -- (-2209.706) [-2111.236] (-2157.317) (-2141.914) * (-2168.187) (-2141.115) [-2134.322] (-2305.876) -- 0:28:57
      360000 -- (-2157.151) [-2118.178] (-2137.455) (-2168.146) * (-2187.778) (-2145.019) [-2136.577] (-2301.723) -- 0:28:53

      Average standard deviation of split frequencies: 0.057050

      361000 -- (-2175.404) (-2128.515) (-2157.912) [-2148.453] * (-2179.536) (-2140.303) [-2135.217] (-2303.038) -- 0:28:51
      362000 -- (-2170.552) [-2119.613] (-2176.265) (-2139.645) * (-2188.006) (-2151.441) [-2124.584] (-2293.953) -- 0:28:48
      363000 -- (-2136.301) [-2127.288] (-2193.964) (-2138.959) * (-2178.570) [-2120.831] (-2138.029) (-2310.093) -- 0:28:44
      364000 -- (-2145.602) [-2136.750] (-2208.276) (-2149.061) * (-2186.577) (-2124.365) [-2125.556] (-2310.658) -- 0:28:42
      365000 -- [-2128.277] (-2158.237) (-2178.781) (-2148.087) * (-2175.947) [-2130.202] (-2138.457) (-2311.809) -- 0:28:40

      Average standard deviation of split frequencies: 0.056289

      366000 -- [-2135.562] (-2150.217) (-2181.761) (-2168.908) * (-2163.506) [-2134.421] (-2138.142) (-2318.011) -- 0:28:36
      367000 -- [-2133.699] (-2155.238) (-2156.803) (-2164.031) * (-2167.326) (-2129.829) [-2141.624] (-2333.981) -- 0:28:34
      368000 -- [-2142.331] (-2149.516) (-2138.179) (-2166.216) * (-2173.279) (-2133.764) [-2137.173] (-2342.943) -- 0:28:32
      369000 -- [-2153.948] (-2152.438) (-2134.657) (-2169.052) * (-2165.907) [-2138.937] (-2156.747) (-2348.786) -- 0:28:28
      370000 -- (-2159.734) [-2141.708] (-2141.236) (-2171.097) * (-2154.714) [-2133.667] (-2173.319) (-2340.621) -- 0:28:26

      Average standard deviation of split frequencies: 0.053803

      371000 -- (-2188.913) (-2149.409) [-2138.384] (-2179.603) * (-2167.673) [-2130.697] (-2171.226) (-2333.809) -- 0:28:23
      372000 -- (-2179.140) (-2155.983) [-2128.871] (-2179.559) * (-2167.865) [-2152.178] (-2189.574) (-2317.142) -- 0:28:19
      373000 -- (-2197.811) (-2151.385) [-2130.423] (-2181.043) * (-2154.172) [-2154.366] (-2194.144) (-2301.394) -- 0:28:17
      374000 -- (-2161.192) (-2174.840) [-2130.022] (-2161.347) * (-2160.207) [-2134.444] (-2188.048) (-2302.162) -- 0:28:15
      375000 -- (-2152.605) (-2204.398) [-2124.855] (-2154.410) * (-2163.085) [-2125.290] (-2185.904) (-2299.050) -- 0:28:15

      Average standard deviation of split frequencies: 0.053110

      376000 -- (-2167.971) (-2218.553) [-2124.287] (-2146.784) * (-2165.426) [-2133.315] (-2167.113) (-2344.208) -- 0:28:14
      377000 -- (-2164.937) (-2188.479) [-2133.058] (-2154.353) * (-2178.047) [-2133.564] (-2155.115) (-2327.602) -- 0:28:13
      378000 -- (-2160.288) (-2163.605) [-2133.849] (-2146.867) * (-2154.719) [-2144.644] (-2164.885) (-2313.815) -- 0:28:11
      379000 -- (-2192.417) [-2130.354] (-2138.332) (-2158.094) * (-2162.726) [-2135.560] (-2156.899) (-2327.738) -- 0:28:10
      380000 -- (-2194.574) (-2144.933) [-2137.797] (-2175.367) * (-2163.370) [-2136.863] (-2169.407) (-2331.887) -- 0:28:07

      Average standard deviation of split frequencies: 0.052665

      381000 -- (-2195.495) [-2144.006] (-2150.267) (-2172.573) * (-2163.619) [-2136.537] (-2147.847) (-2333.495) -- 0:28:04
      382000 -- (-2194.012) [-2139.428] (-2139.768) (-2166.148) * (-2145.527) [-2133.532] (-2161.789) (-2316.900) -- 0:28:00
      383000 -- (-2216.363) [-2126.157] (-2139.892) (-2152.460) * [-2142.635] (-2142.153) (-2166.831) (-2314.610) -- 0:27:58
      384000 -- (-2201.252) [-2127.869] (-2154.214) (-2140.407) * (-2149.940) (-2144.811) [-2141.297] (-2327.065) -- 0:27:54
      385000 -- (-2181.112) (-2123.287) (-2179.274) [-2136.442] * (-2153.779) [-2135.954] (-2178.259) (-2315.964) -- 0:27:52

      Average standard deviation of split frequencies: 0.051598

      386000 -- (-2192.832) (-2133.803) (-2170.512) [-2134.709] * (-2150.194) [-2126.176] (-2185.139) (-2312.527) -- 0:27:48
      387000 -- (-2163.114) [-2124.916] (-2177.699) (-2147.545) * [-2145.417] (-2132.185) (-2176.740) (-2320.138) -- 0:27:46
      388000 -- (-2160.222) [-2130.911] (-2192.660) (-2148.130) * (-2159.610) [-2130.511] (-2182.982) (-2304.428) -- 0:27:42
      389000 -- (-2150.585) [-2138.259] (-2189.122) (-2158.768) * (-2167.430) [-2118.340] (-2155.572) (-2311.645) -- 0:27:40
      390000 -- [-2131.840] (-2147.567) (-2183.607) (-2148.753) * (-2183.417) [-2131.186] (-2182.755) (-2317.638) -- 0:27:36

      Average standard deviation of split frequencies: 0.050445

      391000 -- (-2139.366) (-2156.457) (-2179.461) [-2120.727] * (-2180.859) [-2132.637] (-2167.040) (-2303.988) -- 0:27:34
      392000 -- (-2149.138) (-2158.452) (-2187.904) [-2118.593] * (-2192.317) [-2123.893] (-2152.574) (-2296.993) -- 0:27:31
      393000 -- (-2161.682) (-2151.731) (-2192.177) [-2132.762] * (-2187.206) [-2130.162] (-2146.897) (-2312.903) -- 0:27:28
      394000 -- (-2160.257) (-2145.861) (-2184.819) [-2126.548] * (-2181.398) [-2133.403] (-2147.011) (-2298.681) -- 0:27:25
      395000 -- (-2156.785) (-2146.255) (-2198.642) [-2128.292] * (-2181.232) [-2128.720] (-2143.415) (-2307.092) -- 0:27:21

      Average standard deviation of split frequencies: 0.050758

      396000 -- (-2161.076) (-2147.640) (-2201.427) [-2136.568] * (-2167.083) [-2124.604] (-2142.059) (-2304.054) -- 0:27:19
      397000 -- [-2148.850] (-2145.122) (-2181.438) (-2139.028) * (-2175.818) (-2123.168) [-2136.782] (-2285.212) -- 0:27:17
      398000 -- (-2151.032) (-2170.539) (-2172.718) [-2137.357] * (-2159.301) (-2137.747) [-2131.663] (-2295.831) -- 0:27:13
      399000 -- (-2156.594) (-2159.574) (-2176.452) [-2130.740] * (-2176.434) [-2133.648] (-2137.682) (-2303.104) -- 0:27:11
      400000 -- (-2155.191) (-2157.037) (-2197.132) [-2145.358] * (-2176.975) (-2141.979) [-2123.119] (-2316.113) -- 0:27:07

      Average standard deviation of split frequencies: 0.051100

      401000 -- [-2138.353] (-2165.902) (-2185.633) (-2147.968) * (-2186.149) (-2138.611) [-2130.147] (-2321.845) -- 0:27:05
      402000 -- (-2143.733) (-2178.950) (-2167.392) [-2132.056] * (-2167.350) [-2149.156] (-2146.320) (-2323.139) -- 0:27:02
      403000 -- [-2134.040] (-2157.605) (-2179.893) (-2137.509) * (-2178.684) (-2155.045) [-2161.348] (-2320.365) -- 0:26:59
      404000 -- (-2137.519) (-2186.599) (-2163.561) [-2140.946] * (-2155.073) [-2146.526] (-2167.694) (-2328.610) -- 0:26:56
      405000 -- [-2140.429] (-2201.841) (-2180.923) (-2150.202) * (-2176.037) [-2145.630] (-2157.428) (-2332.384) -- 0:26:53

      Average standard deviation of split frequencies: 0.051516

      406000 -- [-2134.137] (-2214.069) (-2169.913) (-2140.489) * (-2179.760) [-2131.940] (-2147.610) (-2320.537) -- 0:26:50
      407000 -- (-2151.415) (-2198.738) (-2181.326) [-2129.491] * (-2166.720) [-2144.200] (-2159.472) (-2316.234) -- 0:26:47
      408000 -- [-2134.237] (-2213.692) (-2165.209) (-2134.522) * (-2175.744) (-2146.607) [-2148.654] (-2325.792) -- 0:26:44
      409000 -- [-2127.048] (-2211.420) (-2163.671) (-2132.272) * (-2160.514) [-2144.683] (-2160.232) (-2321.809) -- 0:26:41
      410000 -- (-2126.724) (-2235.194) (-2172.804) [-2142.938] * (-2182.088) [-2138.851] (-2155.773) (-2322.467) -- 0:26:38

      Average standard deviation of split frequencies: 0.052260

      411000 -- [-2132.349] (-2218.109) (-2159.985) (-2143.711) * (-2175.594) (-2152.083) [-2148.353] (-2313.316) -- 0:26:35
      412000 -- [-2133.007] (-2223.331) (-2147.281) (-2155.674) * (-2181.905) [-2141.155] (-2155.901) (-2318.842) -- 0:26:32
      413000 -- (-2140.130) (-2210.466) (-2151.798) [-2141.354] * (-2164.201) [-2140.027] (-2171.419) (-2336.846) -- 0:26:30
      414000 -- [-2138.103] (-2196.811) (-2156.085) (-2135.165) * (-2165.739) [-2135.092] (-2176.320) (-2318.839) -- 0:26:26
      415000 -- [-2141.634] (-2206.035) (-2167.379) (-2151.357) * (-2152.208) [-2121.740] (-2165.964) (-2300.751) -- 0:26:23

      Average standard deviation of split frequencies: 0.051858

      416000 -- [-2128.885] (-2175.853) (-2167.010) (-2140.775) * (-2157.854) [-2122.234] (-2152.382) (-2297.527) -- 0:26:20
      417000 -- (-2151.016) (-2187.157) [-2152.344] (-2148.005) * (-2171.220) [-2135.809] (-2151.340) (-2315.507) -- 0:26:17
      418000 -- (-2135.719) (-2188.877) [-2146.758] (-2154.499) * (-2174.882) [-2133.947] (-2146.637) (-2310.481) -- 0:26:14
      419000 -- [-2131.482] (-2193.387) (-2146.097) (-2139.811) * (-2175.490) [-2129.532] (-2140.261) (-2312.623) -- 0:26:11
      420000 -- [-2126.349] (-2209.838) (-2132.881) (-2150.921) * (-2181.484) [-2126.716] (-2152.138) (-2319.371) -- 0:26:08

      Average standard deviation of split frequencies: 0.051873

      421000 -- (-2130.922) (-2184.955) [-2121.652] (-2160.027) * (-2164.410) [-2132.680] (-2159.582) (-2341.348) -- 0:26:05
      422000 -- (-2130.809) (-2182.625) (-2159.445) [-2134.271] * (-2182.389) [-2136.391] (-2162.557) (-2316.084) -- 0:26:02
      423000 -- [-2129.468] (-2172.955) (-2161.149) (-2135.068) * (-2173.596) [-2139.728] (-2164.500) (-2322.600) -- 0:25:59
      424000 -- [-2138.821] (-2196.083) (-2188.084) (-2132.664) * (-2183.956) (-2144.083) [-2149.535] (-2341.141) -- 0:25:56
      425000 -- [-2150.395] (-2179.658) (-2168.827) (-2153.453) * (-2188.620) [-2136.234] (-2150.478) (-2344.347) -- 0:25:53

      Average standard deviation of split frequencies: 0.050932

      426000 -- [-2133.918] (-2208.509) (-2167.308) (-2140.878) * (-2173.092) [-2125.417] (-2166.579) (-2306.666) -- 0:25:50
      427000 -- (-2130.263) (-2196.506) (-2175.392) [-2136.781] * (-2174.449) [-2129.916] (-2163.768) (-2296.444) -- 0:25:47
      428000 -- (-2136.494) (-2195.508) (-2146.173) [-2139.283] * [-2156.913] (-2127.411) (-2199.825) (-2308.484) -- 0:25:44
      429000 -- [-2138.319] (-2195.508) (-2158.169) (-2154.964) * (-2161.185) [-2128.019] (-2180.967) (-2322.674) -- 0:25:42
      430000 -- [-2120.515] (-2164.164) (-2140.474) (-2158.600) * (-2173.141) [-2140.225] (-2170.914) (-2314.937) -- 0:25:39

      Average standard deviation of split frequencies: 0.051014

      431000 -- [-2131.833] (-2165.164) (-2153.006) (-2154.749) * (-2169.782) [-2137.737] (-2184.730) (-2325.610) -- 0:25:35
      432000 -- [-2143.001] (-2170.969) (-2143.432) (-2133.261) * (-2172.475) [-2135.059] (-2169.960) (-2304.822) -- 0:25:33
      433000 -- (-2142.427) (-2181.836) (-2153.421) [-2134.904] * (-2158.749) [-2125.318] (-2158.180) (-2314.853) -- 0:25:29
      434000 -- (-2134.249) (-2185.700) (-2158.151) [-2134.224] * (-2155.523) [-2136.303] (-2144.442) (-2295.530) -- 0:25:27
      435000 -- (-2142.873) (-2154.105) (-2163.416) [-2127.740] * (-2149.145) [-2132.624] (-2153.107) (-2304.925) -- 0:25:24

      Average standard deviation of split frequencies: 0.050760

      436000 -- (-2143.397) (-2148.143) (-2176.917) [-2126.933] * (-2147.237) (-2139.885) [-2143.138] (-2301.509) -- 0:25:21
      437000 -- (-2171.179) (-2160.591) (-2145.873) [-2125.750] * (-2154.989) [-2140.463] (-2144.820) (-2322.531) -- 0:25:18
      438000 -- (-2190.417) (-2165.477) (-2149.445) [-2135.417] * (-2165.292) [-2137.077] (-2144.054) (-2318.467) -- 0:25:15
      439000 -- (-2190.304) (-2153.001) (-2153.720) [-2132.589] * (-2157.774) (-2142.125) [-2141.890] (-2305.214) -- 0:25:13
      440000 -- (-2211.387) (-2147.929) (-2163.552) [-2136.249] * (-2161.647) [-2148.818] (-2131.593) (-2335.543) -- 0:25:10

      Average standard deviation of split frequencies: 0.050982

      441000 -- (-2192.900) (-2154.840) (-2140.281) [-2134.106] * (-2151.745) [-2134.785] (-2128.384) (-2326.119) -- 0:25:07
      442000 -- (-2202.002) (-2170.975) [-2122.196] (-2131.605) * (-2168.337) (-2135.646) [-2116.548] (-2331.738) -- 0:25:04
      443000 -- (-2196.612) (-2189.437) (-2140.445) [-2137.805] * (-2155.010) (-2153.841) [-2120.669] (-2322.086) -- 0:25:03
      444000 -- (-2199.376) (-2174.164) [-2136.017] (-2127.762) * (-2140.827) (-2151.091) [-2123.561] (-2314.570) -- 0:25:01
      445000 -- (-2174.979) (-2228.145) (-2128.463) [-2129.334] * (-2136.410) (-2142.524) [-2142.267] (-2325.870) -- 0:24:59

      Average standard deviation of split frequencies: 0.051040

      446000 -- (-2161.510) (-2204.481) (-2136.779) [-2127.961] * (-2150.403) (-2142.524) [-2130.880] (-2310.428) -- 0:24:55
      447000 -- (-2171.521) (-2197.116) [-2149.212] (-2134.546) * [-2160.571] (-2152.810) (-2122.866) (-2328.171) -- 0:24:53
      448000 -- (-2177.674) (-2201.126) [-2132.410] (-2148.690) * (-2178.665) (-2156.434) [-2133.963] (-2337.137) -- 0:24:49
      449000 -- (-2195.154) (-2176.763) [-2133.320] (-2139.280) * (-2170.553) (-2160.143) [-2126.084] (-2341.065) -- 0:24:47
      450000 -- (-2165.522) (-2165.772) (-2132.044) [-2142.062] * (-2162.512) (-2142.979) [-2122.528] (-2346.852) -- 0:24:43

      Average standard deviation of split frequencies: 0.051255

      451000 -- (-2173.231) (-2152.924) [-2132.879] (-2132.875) * (-2164.748) (-2140.751) [-2128.884] (-2331.713) -- 0:24:41
      452000 -- (-2167.721) (-2172.708) (-2128.544) [-2140.948] * (-2164.173) (-2145.785) [-2132.490] (-2331.561) -- 0:24:39
      453000 -- (-2161.977) (-2185.064) (-2133.795) [-2126.347] * (-2169.323) (-2152.559) [-2132.571] (-2364.259) -- 0:24:36
      454000 -- (-2183.931) (-2195.236) [-2129.468] (-2146.340) * (-2170.840) [-2150.468] (-2120.769) (-2330.122) -- 0:24:35
      455000 -- (-2200.203) (-2179.862) [-2143.987] (-2155.496) * (-2160.204) [-2129.930] (-2137.767) (-2341.988) -- 0:24:34

      Average standard deviation of split frequencies: 0.052152

      456000 -- (-2203.813) (-2184.656) [-2136.251] (-2151.665) * (-2178.727) (-2129.727) [-2145.071] (-2333.837) -- 0:24:33
      457000 -- (-2181.796) (-2177.546) (-2141.677) [-2161.010] * (-2172.662) (-2127.797) [-2136.378] (-2333.211) -- 0:24:30
      458000 -- (-2168.572) (-2179.803) [-2138.902] (-2147.923) * (-2179.062) (-2142.868) [-2133.948] (-2333.356) -- 0:24:29
      459000 -- (-2153.655) (-2183.251) [-2129.993] (-2170.966) * (-2170.631) (-2145.875) [-2137.398] (-2343.634) -- 0:24:28
      460000 -- [-2145.685] (-2201.806) (-2134.258) (-2180.944) * (-2178.415) (-2142.644) [-2130.962] (-2347.654) -- 0:24:26

      Average standard deviation of split frequencies: 0.053212

      461000 -- (-2152.124) (-2179.378) [-2133.867] (-2182.114) * (-2180.047) (-2162.091) [-2128.124] (-2344.225) -- 0:24:25
      462000 -- (-2159.198) (-2197.720) [-2134.377] (-2162.466) * (-2178.481) (-2146.464) [-2136.226] (-2329.871) -- 0:24:23
      463000 -- (-2146.635) (-2186.705) [-2133.203] (-2168.899) * (-2181.431) (-2146.586) [-2138.170] (-2351.483) -- 0:24:22
      464000 -- (-2162.269) (-2191.404) [-2126.035] (-2146.613) * (-2174.969) (-2128.277) [-2117.456] (-2322.787) -- 0:24:21
      465000 -- (-2138.294) (-2212.526) [-2134.776] (-2148.706) * (-2172.035) (-2139.088) [-2124.224] (-2309.723) -- 0:24:18

      Average standard deviation of split frequencies: 0.052763

      466000 -- [-2113.004] (-2222.510) (-2135.440) (-2140.729) * (-2173.148) (-2143.299) [-2115.339] (-2311.794) -- 0:24:17
      467000 -- [-2126.973] (-2202.503) (-2134.208) (-2179.513) * (-2155.750) (-2144.716) [-2121.587] (-2306.653) -- 0:24:16
      468000 -- (-2127.472) (-2193.891) [-2133.325] (-2169.706) * (-2158.348) (-2146.897) [-2135.623] (-2308.610) -- 0:24:15
      469000 -- [-2132.807] (-2198.234) (-2139.657) (-2158.578) * (-2161.559) (-2148.867) [-2132.498] (-2311.352) -- 0:24:12
      470000 -- [-2126.981] (-2167.077) (-2151.601) (-2167.157) * (-2188.044) (-2148.704) [-2145.303] (-2312.401) -- 0:24:11

      Average standard deviation of split frequencies: 0.052635

      471000 -- [-2131.588] (-2171.968) (-2132.316) (-2162.931) * (-2183.664) (-2175.213) [-2145.429] (-2301.527) -- 0:24:09
      472000 -- (-2145.017) (-2179.242) [-2127.181] (-2154.692) * (-2181.576) (-2160.943) [-2129.987] (-2308.622) -- 0:24:08
      473000 -- [-2146.857] (-2174.076) (-2150.439) (-2176.591) * (-2182.588) (-2173.807) [-2130.765] (-2311.028) -- 0:24:07
      474000 -- [-2137.049] (-2183.164) (-2173.829) (-2170.076) * (-2158.361) (-2175.196) [-2141.487] (-2317.345) -- 0:24:04
      475000 -- (-2140.978) (-2174.115) [-2168.261] (-2179.374) * (-2163.608) (-2170.885) [-2134.122] (-2304.039) -- 0:24:03

      Average standard deviation of split frequencies: 0.052254

      476000 -- [-2125.603] (-2162.830) (-2141.406) (-2179.174) * [-2148.235] (-2169.810) (-2143.711) (-2302.805) -- 0:24:02
      477000 -- [-2131.269] (-2175.778) (-2141.471) (-2175.208) * [-2141.678] (-2178.850) (-2141.282) (-2308.102) -- 0:23:58
      478000 -- (-2149.083) (-2187.890) [-2136.355] (-2171.636) * [-2151.276] (-2174.602) (-2141.372) (-2311.070) -- 0:23:56
      479000 -- [-2129.082] (-2173.892) (-2151.217) (-2184.023) * [-2146.226] (-2147.305) (-2173.059) (-2324.648) -- 0:23:53
      480000 -- (-2137.162) (-2169.907) [-2151.345] (-2190.856) * (-2132.050) (-2155.485) [-2140.582] (-2319.186) -- 0:23:50

      Average standard deviation of split frequencies: 0.051375

      481000 -- [-2138.671] (-2159.154) (-2153.820) (-2202.971) * (-2137.156) [-2150.437] (-2151.561) (-2312.288) -- 0:23:47
      482000 -- [-2148.856] (-2150.125) (-2166.599) (-2186.648) * (-2144.928) (-2169.486) [-2143.071] (-2313.168) -- 0:23:43
      483000 -- [-2150.961] (-2155.012) (-2176.755) (-2170.158) * (-2151.121) (-2168.473) [-2142.857] (-2324.056) -- 0:23:41
      484000 -- [-2150.038] (-2169.201) (-2169.616) (-2189.650) * [-2129.336] (-2179.834) (-2146.187) (-2321.349) -- 0:23:39
      485000 -- [-2140.535] (-2170.252) (-2161.842) (-2162.008) * [-2126.632] (-2166.616) (-2149.398) (-2308.356) -- 0:23:35

      Average standard deviation of split frequencies: 0.051434

      486000 -- [-2130.964] (-2187.229) (-2169.918) (-2157.170) * [-2136.132] (-2173.838) (-2157.569) (-2319.673) -- 0:23:32
      487000 -- [-2132.573] (-2183.688) (-2170.879) (-2148.129) * [-2146.616] (-2152.244) (-2166.565) (-2302.518) -- 0:23:29
      488000 -- [-2130.599] (-2182.175) (-2170.657) (-2147.766) * (-2155.391) [-2155.043] (-2158.545) (-2313.726) -- 0:23:26
      489000 -- [-2146.258] (-2196.057) (-2171.317) (-2134.008) * (-2177.704) (-2155.883) [-2134.825] (-2325.086) -- 0:23:24
      490000 -- [-2122.469] (-2185.269) (-2142.749) (-2140.120) * (-2166.658) (-2160.318) [-2128.387] (-2327.983) -- 0:23:20

      Average standard deviation of split frequencies: 0.050060

      491000 -- (-2130.736) (-2202.193) (-2146.691) [-2145.738] * (-2154.677) (-2159.412) [-2131.672] (-2332.607) -- 0:23:18
      492000 -- (-2139.816) (-2195.362) (-2153.572) [-2139.579] * (-2145.376) (-2146.608) [-2127.593] (-2332.214) -- 0:23:15
      493000 -- (-2145.354) (-2202.417) (-2170.712) [-2140.186] * [-2143.344] (-2151.284) (-2133.421) (-2303.466) -- 0:23:14
      494000 -- (-2141.845) (-2190.063) (-2181.549) [-2128.360] * (-2143.955) (-2138.432) [-2126.929] (-2316.818) -- 0:23:13
      495000 -- (-2140.624) (-2197.320) (-2150.265) [-2136.211] * (-2147.273) (-2150.061) [-2139.505] (-2310.173) -- 0:23:11

      Average standard deviation of split frequencies: 0.049647

      496000 -- (-2134.019) (-2201.603) (-2154.629) [-2138.727] * (-2150.721) (-2152.975) [-2136.606] (-2312.209) -- 0:23:10
      497000 -- [-2131.592] (-2192.770) (-2171.178) (-2149.775) * (-2153.551) (-2174.679) [-2129.409] (-2307.556) -- 0:23:07
      498000 -- (-2149.396) (-2168.352) (-2168.445) [-2130.673] * (-2155.287) (-2150.373) [-2128.144] (-2335.439) -- 0:23:06
      499000 -- [-2134.098] (-2181.027) (-2170.591) (-2135.505) * (-2150.513) (-2149.332) [-2128.920] (-2322.099) -- 0:23:04
      500000 -- [-2141.344] (-2176.526) (-2162.404) (-2153.254) * (-2132.882) (-2143.879) [-2118.840] (-2318.314) -- 0:23:02

      Average standard deviation of split frequencies: 0.049233

      501000 -- [-2147.325] (-2163.846) (-2169.286) (-2193.225) * (-2134.709) (-2148.133) [-2119.049] (-2331.544) -- 0:23:00
      502000 -- [-2151.577] (-2150.961) (-2177.920) (-2170.499) * (-2141.885) (-2139.547) [-2118.731] (-2320.587) -- 0:22:57
      503000 -- [-2151.500] (-2159.042) (-2153.861) (-2197.196) * [-2143.362] (-2162.359) (-2123.149) (-2301.068) -- 0:22:55
      504000 -- (-2153.605) (-2151.200) [-2156.128] (-2191.981) * (-2148.944) (-2152.907) [-2118.238] (-2315.581) -- 0:22:51
      505000 -- [-2145.709] (-2165.869) (-2155.145) (-2193.151) * (-2172.923) [-2141.218] (-2131.683) (-2299.808) -- 0:22:49

      Average standard deviation of split frequencies: 0.048420

      506000 -- (-2144.401) [-2140.986] (-2193.674) (-2217.252) * (-2172.970) (-2150.638) [-2127.558] (-2315.986) -- 0:22:46
      507000 -- [-2143.770] (-2142.378) (-2192.159) (-2190.148) * (-2140.089) (-2177.484) [-2133.107] (-2307.452) -- 0:22:44
      508000 -- [-2138.736] (-2139.519) (-2202.733) (-2182.209) * (-2141.427) (-2160.520) [-2122.534] (-2309.529) -- 0:22:40
      509000 -- (-2165.838) [-2138.977] (-2183.200) (-2187.905) * (-2149.698) (-2151.151) [-2123.308] (-2308.484) -- 0:22:38
      510000 -- (-2180.644) [-2147.464] (-2199.738) (-2150.794) * (-2149.748) (-2150.224) [-2120.471] (-2288.561) -- 0:22:34

      Average standard deviation of split frequencies: 0.048488

      511000 -- (-2210.914) (-2142.948) (-2176.236) [-2148.492] * [-2150.457] (-2154.518) (-2143.208) (-2310.317) -- 0:22:32
      512000 -- (-2188.101) [-2133.851] (-2161.809) (-2156.196) * [-2141.632] (-2160.399) (-2137.076) (-2315.960) -- 0:22:29
      513000 -- (-2181.762) (-2151.864) (-2184.849) [-2154.499] * (-2130.384) (-2162.624) [-2133.325] (-2321.314) -- 0:22:26
      514000 -- (-2166.664) (-2166.593) (-2168.954) [-2156.280] * (-2137.412) (-2158.436) [-2131.120] (-2317.013) -- 0:22:23
      515000 -- [-2143.185] (-2166.315) (-2182.212) (-2155.475) * (-2136.127) (-2178.783) [-2133.317] (-2302.747) -- 0:22:20

      Average standard deviation of split frequencies: 0.049309

      516000 -- [-2142.114] (-2169.115) (-2148.104) (-2167.753) * (-2145.109) (-2174.509) [-2122.518] (-2299.045) -- 0:22:17
      517000 -- [-2142.053] (-2186.109) (-2163.197) (-2159.385) * (-2173.203) (-2168.781) [-2132.265] (-2298.678) -- 0:22:15
      518000 -- [-2125.468] (-2169.979) (-2152.500) (-2179.431) * (-2162.435) (-2169.938) [-2141.197] (-2307.666) -- 0:22:11
      519000 -- (-2145.037) (-2173.738) [-2151.180] (-2178.676) * (-2179.693) (-2162.755) [-2144.750] (-2297.873) -- 0:22:09
      520000 -- [-2139.059] (-2177.522) (-2158.313) (-2178.911) * (-2170.103) (-2153.332) [-2128.636] (-2313.908) -- 0:22:06

      Average standard deviation of split frequencies: 0.048367

      521000 -- (-2150.718) (-2186.463) [-2139.668] (-2167.212) * (-2179.562) (-2143.114) [-2149.388] (-2323.283) -- 0:22:04
      522000 -- (-2144.247) (-2158.333) [-2131.398] (-2172.091) * (-2170.729) (-2141.877) [-2149.129] (-2315.465) -- 0:22:02
      523000 -- [-2141.368] (-2168.517) (-2136.707) (-2176.703) * (-2185.820) [-2128.991] (-2153.467) (-2310.042) -- 0:22:00
      524000 -- (-2155.970) (-2160.449) [-2140.848] (-2179.562) * (-2180.833) [-2128.619] (-2149.890) (-2307.262) -- 0:21:58
      525000 -- [-2143.658] (-2182.418) (-2163.707) (-2214.209) * (-2170.204) [-2127.262] (-2139.573) (-2312.531) -- 0:21:57

      Average standard deviation of split frequencies: 0.047688

      526000 -- [-2150.137] (-2192.608) (-2168.856) (-2183.899) * (-2165.819) (-2143.469) [-2141.822] (-2322.563) -- 0:21:54
      527000 -- (-2144.855) (-2157.763) [-2133.246] (-2195.891) * (-2164.109) (-2123.735) [-2130.221] (-2325.871) -- 0:21:53
      528000 -- (-2149.255) (-2151.961) [-2142.728] (-2212.019) * (-2171.989) (-2135.547) [-2132.967] (-2327.342) -- 0:21:51
      529000 -- [-2138.249] (-2169.608) (-2143.579) (-2220.983) * (-2178.610) (-2133.444) [-2147.146] (-2316.651) -- 0:21:48
      530000 -- [-2137.101] (-2154.808) (-2163.162) (-2233.201) * (-2177.019) (-2134.852) [-2146.614] (-2308.461) -- 0:21:47

      Average standard deviation of split frequencies: 0.047596

      531000 -- (-2140.655) [-2136.102] (-2163.164) (-2219.726) * (-2183.600) [-2129.026] (-2172.610) (-2307.909) -- 0:21:45
      532000 -- [-2131.065] (-2141.873) (-2158.928) (-2221.958) * (-2182.016) [-2129.999] (-2160.327) (-2290.232) -- 0:21:42
      533000 -- [-2149.112] (-2142.620) (-2173.347) (-2201.171) * (-2197.124) (-2136.533) [-2142.997] (-2300.934) -- 0:21:41
      534000 -- (-2141.063) [-2136.966] (-2175.119) (-2198.137) * (-2184.018) [-2134.715] (-2149.522) (-2302.767) -- 0:21:38
      535000 -- [-2140.886] (-2141.392) (-2172.506) (-2180.009) * (-2178.471) [-2127.058] (-2139.771) (-2311.413) -- 0:21:35

      Average standard deviation of split frequencies: 0.046793

      536000 -- [-2129.974] (-2168.940) (-2168.037) (-2201.861) * (-2184.296) (-2127.801) [-2136.132] (-2301.264) -- 0:21:32
      537000 -- [-2131.533] (-2202.918) (-2179.492) (-2169.745) * (-2194.305) (-2138.067) [-2140.543] (-2313.574) -- 0:21:29
      538000 -- (-2135.967) (-2193.642) (-2182.026) [-2162.856] * (-2185.051) [-2123.562] (-2148.168) (-2310.039) -- 0:21:27
      539000 -- (-2138.484) (-2180.312) (-2198.000) [-2166.105] * (-2193.218) [-2122.175] (-2135.504) (-2296.625) -- 0:21:23
      540000 -- [-2133.544] (-2174.645) (-2184.873) (-2164.050) * (-2178.497) (-2132.379) [-2144.637] (-2302.529) -- 0:21:21

      Average standard deviation of split frequencies: 0.047197

      541000 -- [-2139.503] (-2195.193) (-2172.634) (-2152.417) * (-2167.386) [-2135.557] (-2142.504) (-2292.245) -- 0:21:17
      542000 -- [-2147.145] (-2207.338) (-2156.573) (-2156.131) * (-2185.838) (-2134.006) [-2132.310] (-2318.588) -- 0:21:15
      543000 -- [-2151.505] (-2220.243) (-2172.733) (-2156.349) * (-2189.544) [-2130.664] (-2129.155) (-2303.812) -- 0:21:11
      544000 -- [-2138.278] (-2217.505) (-2167.486) (-2153.243) * (-2202.301) [-2144.900] (-2141.215) (-2296.608) -- 0:21:09
      545000 -- (-2148.593) (-2209.071) [-2161.693] (-2167.315) * (-2183.320) [-2143.383] (-2128.628) (-2308.780) -- 0:21:06

      Average standard deviation of split frequencies: 0.046463

      546000 -- [-2144.251] (-2206.446) (-2180.361) (-2164.228) * (-2186.736) (-2159.015) [-2135.718] (-2300.687) -- 0:21:03
      547000 -- [-2138.421] (-2202.533) (-2160.868) (-2173.448) * (-2175.316) (-2155.623) [-2157.524] (-2289.243) -- 0:21:00
      548000 -- [-2131.869] (-2216.631) (-2163.980) (-2182.049) * (-2165.768) [-2147.187] (-2145.964) (-2298.524) -- 0:20:58
      549000 -- [-2136.853] (-2214.564) (-2145.556) (-2188.115) * (-2156.545) (-2154.077) [-2148.389] (-2316.129) -- 0:20:56
      550000 -- (-2144.096) (-2228.350) [-2149.871] (-2187.986) * (-2166.529) [-2136.505] (-2142.935) (-2298.138) -- 0:20:54

      Average standard deviation of split frequencies: 0.046070

      551000 -- [-2147.599] (-2215.549) (-2140.226) (-2199.840) * (-2198.035) (-2148.583) [-2137.249] (-2299.127) -- 0:20:52
      552000 -- [-2134.961] (-2208.832) (-2139.755) (-2176.652) * (-2186.814) (-2156.696) [-2140.497] (-2299.405) -- 0:20:50
      553000 -- [-2130.438] (-2214.102) (-2156.609) (-2178.946) * (-2190.194) (-2158.072) [-2134.494] (-2292.760) -- 0:20:48
      554000 -- (-2151.549) (-2215.949) [-2150.678] (-2184.700) * (-2151.074) [-2152.343] (-2139.043) (-2305.382) -- 0:20:46
      555000 -- (-2153.740) (-2200.070) [-2142.695] (-2182.993) * (-2151.668) (-2152.179) [-2138.413] (-2324.307) -- 0:20:44

      Average standard deviation of split frequencies: 0.045583

      556000 -- (-2168.179) (-2187.992) [-2144.859] (-2161.216) * (-2150.290) (-2164.206) [-2135.716] (-2328.062) -- 0:20:41
      557000 -- (-2175.365) (-2222.285) (-2143.630) [-2149.323] * [-2139.461] (-2148.508) (-2145.727) (-2309.232) -- 0:20:39
      558000 -- (-2159.601) (-2207.352) [-2156.308] (-2168.863) * [-2145.465] (-2161.965) (-2141.636) (-2318.059) -- 0:20:37
      559000 -- (-2171.776) (-2203.319) [-2147.207] (-2153.244) * [-2153.341] (-2150.133) (-2137.591) (-2316.298) -- 0:20:35
      560000 -- (-2171.125) (-2227.923) [-2149.828] (-2148.604) * [-2130.195] (-2164.013) (-2128.976) (-2320.925) -- 0:20:33

      Average standard deviation of split frequencies: 0.044628

      561000 -- (-2182.652) (-2203.027) [-2156.131] (-2158.851) * [-2128.641] (-2171.007) (-2119.015) (-2329.939) -- 0:20:30
      562000 -- (-2190.149) (-2193.447) (-2157.309) [-2144.183] * (-2139.445) (-2171.579) [-2122.588] (-2340.525) -- 0:20:28
      563000 -- (-2165.627) (-2197.216) (-2157.048) [-2136.907] * (-2138.231) (-2156.844) [-2119.588] (-2349.893) -- 0:20:25
      564000 -- (-2163.552) (-2192.505) (-2142.034) [-2132.626] * [-2127.336] (-2180.892) (-2135.366) (-2358.501) -- 0:20:22
      565000 -- (-2171.872) (-2180.613) (-2156.125) [-2127.656] * (-2134.881) (-2168.310) [-2122.828] (-2354.384) -- 0:20:20

      Average standard deviation of split frequencies: 0.043616

      566000 -- (-2207.293) (-2174.740) (-2154.084) [-2126.223] * (-2136.126) (-2162.379) [-2131.013] (-2334.300) -- 0:20:16
      567000 -- (-2192.522) (-2182.275) (-2139.664) [-2130.684] * [-2142.114] (-2167.041) (-2138.061) (-2326.777) -- 0:20:14
      568000 -- (-2195.949) (-2180.691) (-2145.078) [-2123.599] * (-2159.942) (-2169.741) [-2148.629] (-2332.975) -- 0:20:10
      569000 -- (-2192.982) (-2178.564) (-2147.116) [-2125.493] * (-2145.655) (-2167.440) [-2137.796] (-2326.320) -- 0:20:08
      570000 -- (-2189.389) (-2166.000) (-2155.276) [-2127.637] * (-2151.399) (-2166.715) [-2144.623] (-2324.814) -- 0:20:04

      Average standard deviation of split frequencies: 0.042890

      571000 -- (-2174.040) (-2163.432) (-2177.248) [-2128.692] * (-2138.155) (-2147.515) [-2132.829] (-2331.201) -- 0:20:01
      572000 -- (-2182.703) (-2182.481) (-2182.344) [-2124.361] * [-2131.905] (-2156.045) (-2141.410) (-2340.244) -- 0:19:58
      573000 -- (-2174.899) (-2183.624) (-2158.965) [-2124.231] * [-2130.845] (-2167.890) (-2150.796) (-2336.688) -- 0:19:56
      574000 -- (-2172.873) [-2157.818] (-2185.814) (-2138.173) * (-2133.045) (-2167.586) [-2144.773] (-2323.560) -- 0:19:54
      575000 -- (-2169.719) (-2185.476) (-2156.433) [-2126.667] * (-2140.780) (-2156.747) [-2125.090] (-2317.246) -- 0:19:52

      Average standard deviation of split frequencies: 0.043010

      576000 -- (-2152.753) (-2176.854) (-2170.286) [-2142.931] * (-2137.366) (-2174.227) [-2129.362] (-2317.948) -- 0:19:49
      577000 -- (-2172.546) (-2192.030) (-2152.883) [-2139.575] * (-2133.586) (-2183.781) [-2133.647] (-2300.998) -- 0:19:47
      578000 -- (-2181.000) (-2192.757) (-2155.197) [-2149.779] * (-2136.058) (-2188.286) [-2152.301] (-2313.668) -- 0:19:45
      579000 -- (-2174.632) [-2152.833] (-2152.035) (-2158.688) * (-2133.695) (-2169.410) [-2139.624] (-2321.790) -- 0:19:43
      580000 -- (-2178.339) (-2154.315) [-2134.291] (-2161.672) * [-2133.237] (-2157.015) (-2146.197) (-2319.125) -- 0:19:41

      Average standard deviation of split frequencies: 0.042579

      581000 -- (-2187.655) [-2151.135] (-2135.040) (-2160.256) * (-2143.168) [-2134.112] (-2157.632) (-2315.085) -- 0:19:39
      582000 -- (-2175.594) (-2161.138) [-2137.772] (-2146.418) * (-2133.096) [-2133.536] (-2160.670) (-2305.299) -- 0:19:37
      583000 -- (-2171.975) (-2220.781) [-2135.190] (-2153.024) * (-2132.188) [-2132.112] (-2158.943) (-2306.061) -- 0:19:34
      584000 -- (-2179.553) (-2233.095) (-2150.443) [-2150.606] * (-2132.080) [-2148.627] (-2156.114) (-2303.191) -- 0:19:32
      585000 -- (-2164.475) (-2211.504) (-2150.994) [-2145.459] * [-2135.261] (-2139.976) (-2169.698) (-2321.711) -- 0:19:30

      Average standard deviation of split frequencies: 0.042784

      586000 -- (-2154.494) (-2196.061) (-2160.874) [-2129.191] * [-2128.254] (-2147.272) (-2149.836) (-2318.756) -- 0:19:28
      587000 -- (-2166.890) (-2180.785) [-2140.848] (-2136.792) * [-2118.326] (-2151.389) (-2156.641) (-2314.904) -- 0:19:26
      588000 -- (-2179.364) (-2195.813) [-2131.174] (-2140.785) * [-2127.163] (-2159.606) (-2141.352) (-2318.553) -- 0:19:23
      589000 -- (-2156.475) (-2201.989) [-2119.411] (-2149.771) * [-2131.041] (-2139.129) (-2152.217) (-2328.244) -- 0:19:21
      590000 -- (-2154.007) (-2201.852) [-2125.145] (-2134.267) * (-2142.732) [-2131.496] (-2167.947) (-2341.358) -- 0:19:19

      Average standard deviation of split frequencies: 0.043181

      591000 -- (-2126.597) (-2224.348) [-2122.330] (-2161.288) * (-2151.146) [-2126.942] (-2161.615) (-2328.636) -- 0:19:17
      592000 -- (-2144.348) (-2219.607) [-2126.928] (-2163.067) * (-2145.265) [-2125.916] (-2150.018) (-2340.557) -- 0:19:15
      593000 -- (-2143.412) (-2188.825) [-2140.140] (-2204.337) * (-2140.812) [-2141.622] (-2146.285) (-2331.811) -- 0:19:13
      594000 -- (-2159.960) (-2187.697) [-2133.249] (-2166.421) * [-2128.127] (-2142.924) (-2144.491) (-2340.651) -- 0:19:10
      595000 -- (-2167.535) (-2177.738) [-2130.537] (-2173.252) * (-2158.708) (-2147.703) [-2142.853] (-2339.576) -- 0:19:08

      Average standard deviation of split frequencies: 0.043107

      596000 -- (-2170.275) (-2179.344) [-2143.885] (-2165.250) * (-2138.554) (-2146.283) [-2138.448] (-2335.194) -- 0:19:05
      597000 -- (-2160.786) (-2174.118) [-2145.348] (-2174.713) * [-2138.602] (-2137.569) (-2148.665) (-2314.303) -- 0:19:03
      598000 -- (-2140.976) (-2156.192) [-2141.720] (-2167.408) * (-2151.923) [-2133.647] (-2131.375) (-2327.880) -- 0:19:01
      599000 -- (-2140.506) (-2160.853) [-2146.785] (-2196.109) * (-2149.210) [-2133.840] (-2142.877) (-2326.029) -- 0:18:58
      600000 -- [-2134.157] (-2180.563) (-2138.528) (-2191.036) * [-2136.250] (-2160.357) (-2140.766) (-2335.157) -- 0:18:55

      Average standard deviation of split frequencies: 0.043598

      601000 -- [-2131.363] (-2198.313) (-2137.122) (-2204.170) * (-2144.076) [-2155.131] (-2150.866) (-2327.688) -- 0:18:53
      602000 -- [-2124.325] (-2175.573) (-2130.875) (-2171.983) * [-2146.532] (-2148.776) (-2133.974) (-2312.746) -- 0:18:51
      603000 -- [-2127.020] (-2162.001) (-2173.230) (-2165.719) * (-2149.152) (-2141.855) [-2143.348] (-2311.077) -- 0:18:48
      604000 -- [-2128.257] (-2167.763) (-2186.745) (-2160.500) * (-2140.604) (-2151.567) [-2144.280] (-2311.910) -- 0:18:46
      605000 -- [-2118.392] (-2151.931) (-2188.928) (-2155.459) * (-2160.441) [-2141.674] (-2149.615) (-2317.182) -- 0:18:44

      Average standard deviation of split frequencies: 0.043787

      606000 -- [-2125.056] (-2197.916) (-2187.972) (-2157.444) * [-2148.023] (-2177.416) (-2146.611) (-2318.292) -- 0:18:41
      607000 -- (-2140.217) (-2188.527) (-2162.652) [-2152.181] * (-2148.169) (-2150.800) [-2145.309] (-2323.189) -- 0:18:39
      608000 -- (-2154.752) (-2155.290) (-2199.930) [-2159.096] * (-2179.325) (-2144.345) [-2139.977] (-2326.891) -- 0:18:37
      609000 -- [-2149.570] (-2154.876) (-2187.880) (-2154.318) * (-2162.009) (-2145.571) [-2132.693] (-2314.911) -- 0:18:34
      610000 -- [-2137.690] (-2168.733) (-2208.844) (-2167.359) * [-2145.886] (-2159.014) (-2143.601) (-2308.315) -- 0:18:32

      Average standard deviation of split frequencies: 0.043626

      611000 -- [-2130.421] (-2165.191) (-2208.749) (-2167.584) * (-2168.154) [-2145.741] (-2155.620) (-2315.704) -- 0:18:30
      612000 -- [-2140.816] (-2155.746) (-2213.463) (-2153.104) * (-2166.244) [-2125.007] (-2141.256) (-2328.438) -- 0:18:27
      613000 -- [-2128.567] (-2155.659) (-2184.528) (-2185.332) * (-2159.084) [-2126.990] (-2170.118) (-2316.116) -- 0:18:25
      614000 -- (-2147.029) [-2162.375] (-2159.884) (-2182.683) * [-2146.862] (-2135.149) (-2161.569) (-2307.390) -- 0:18:23
      615000 -- [-2140.633] (-2195.994) (-2175.742) (-2150.106) * (-2162.088) (-2157.384) [-2147.409] (-2304.336) -- 0:18:20

      Average standard deviation of split frequencies: 0.043227

      616000 -- (-2140.870) (-2188.568) (-2167.327) [-2144.209] * (-2181.796) [-2166.158] (-2152.856) (-2308.872) -- 0:18:18
      617000 -- [-2144.312] (-2170.070) (-2179.209) (-2145.417) * [-2166.625] (-2166.735) (-2173.573) (-2312.295) -- 0:18:15
      618000 -- (-2146.588) (-2176.695) (-2210.331) [-2136.091] * [-2153.828] (-2163.741) (-2175.389) (-2312.747) -- 0:18:13
      619000 -- (-2140.526) (-2176.953) (-2176.514) [-2125.890] * [-2137.834] (-2162.707) (-2176.302) (-2314.491) -- 0:18:11
      620000 -- (-2154.220) (-2196.638) (-2188.413) [-2129.869] * (-2137.868) [-2149.327] (-2163.825) (-2303.693) -- 0:18:08

      Average standard deviation of split frequencies: 0.042779

      621000 -- (-2170.191) (-2181.467) (-2200.838) [-2132.109] * [-2135.973] (-2157.127) (-2162.258) (-2307.783) -- 0:18:06
      622000 -- (-2152.315) (-2177.046) (-2204.199) [-2130.844] * [-2139.168] (-2155.190) (-2163.613) (-2316.908) -- 0:18:04
      623000 -- (-2163.166) (-2177.923) (-2237.805) [-2118.866] * (-2145.851) [-2151.794] (-2161.825) (-2316.255) -- 0:18:01
      624000 -- (-2146.617) (-2161.563) (-2187.529) [-2119.805] * (-2166.653) [-2148.152] (-2183.429) (-2320.544) -- 0:17:59
      625000 -- (-2148.468) (-2168.859) (-2201.875) [-2126.709] * (-2137.756) [-2128.025] (-2167.402) (-2304.482) -- 0:17:57

      Average standard deviation of split frequencies: 0.042435

      626000 -- (-2153.982) (-2189.566) (-2193.651) [-2122.498] * [-2156.216] (-2120.510) (-2163.967) (-2321.996) -- 0:17:54
      627000 -- [-2141.624] (-2182.345) (-2185.403) (-2111.567) * (-2152.495) [-2123.792] (-2153.483) (-2301.735) -- 0:17:52
      628000 -- (-2151.552) (-2176.238) (-2195.504) [-2125.955] * [-2139.695] (-2119.965) (-2162.783) (-2288.894) -- 0:17:49
      629000 -- (-2166.586) (-2181.246) (-2194.747) [-2131.677] * [-2133.121] (-2139.914) (-2161.087) (-2296.571) -- 0:17:47
      630000 -- [-2147.045] (-2174.545) (-2225.711) (-2135.464) * [-2140.579] (-2146.551) (-2158.936) (-2296.045) -- 0:17:44

      Average standard deviation of split frequencies: 0.041111

      631000 -- (-2154.983) (-2189.172) (-2231.196) [-2130.018] * [-2144.535] (-2140.471) (-2155.411) (-2313.160) -- 0:17:42
      632000 -- (-2148.366) (-2175.635) (-2234.627) [-2119.364] * [-2138.409] (-2134.207) (-2163.348) (-2314.567) -- 0:17:39
      633000 -- [-2139.489] (-2199.183) (-2222.246) (-2137.007) * [-2125.579] (-2144.940) (-2176.348) (-2312.842) -- 0:17:37
      634000 -- (-2142.479) (-2188.771) (-2205.629) [-2128.237] * [-2143.471] (-2151.756) (-2178.575) (-2342.439) -- 0:17:35
      635000 -- (-2143.671) (-2206.270) (-2190.481) [-2133.618] * [-2145.843] (-2157.265) (-2181.405) (-2319.075) -- 0:17:33

      Average standard deviation of split frequencies: 0.040526

      636000 -- (-2139.609) (-2197.871) (-2153.476) [-2136.373] * (-2146.002) [-2135.380] (-2186.437) (-2334.648) -- 0:17:30
      637000 -- (-2145.754) (-2182.189) (-2143.103) [-2125.908] * (-2139.932) [-2133.546] (-2171.775) (-2330.837) -- 0:17:27
      638000 -- (-2145.380) (-2205.012) [-2141.028] (-2142.692) * (-2140.448) [-2120.253] (-2167.864) (-2323.718) -- 0:17:25
      639000 -- (-2183.455) (-2181.944) (-2143.946) [-2138.651] * (-2140.957) [-2125.891] (-2178.980) (-2310.450) -- 0:17:22
      640000 -- [-2135.126] (-2200.164) (-2138.087) (-2149.695) * [-2149.810] (-2126.024) (-2184.813) (-2324.984) -- 0:17:20

      Average standard deviation of split frequencies: 0.039634

      641000 -- [-2148.414] (-2197.296) (-2142.758) (-2146.916) * (-2146.072) [-2130.079] (-2171.549) (-2313.485) -- 0:17:17
      642000 -- (-2143.874) (-2192.531) (-2158.126) [-2153.872] * [-2133.374] (-2145.476) (-2166.414) (-2330.372) -- 0:17:15
      643000 -- [-2144.128] (-2187.780) (-2145.814) (-2160.865) * (-2133.519) [-2139.569] (-2189.571) (-2322.695) -- 0:17:13
      644000 -- [-2143.753] (-2150.195) (-2151.439) (-2192.415) * (-2149.405) [-2142.699] (-2169.978) (-2310.326) -- 0:17:10
      645000 -- [-2140.709] (-2143.380) (-2150.745) (-2185.087) * (-2141.873) [-2134.954] (-2167.771) (-2308.410) -- 0:17:08

      Average standard deviation of split frequencies: 0.039050

      646000 -- [-2119.078] (-2145.346) (-2159.383) (-2174.004) * [-2132.395] (-2128.597) (-2166.328) (-2313.901) -- 0:17:05
      647000 -- (-2127.324) [-2141.107] (-2149.669) (-2195.949) * (-2150.820) [-2139.672] (-2157.107) (-2338.629) -- 0:17:02
      648000 -- (-2130.906) [-2126.033] (-2160.125) (-2196.498) * [-2159.085] (-2136.736) (-2157.767) (-2307.426) -- 0:17:00
      649000 -- (-2128.097) [-2137.567] (-2156.657) (-2196.522) * (-2172.532) [-2145.857] (-2150.344) (-2305.988) -- 0:16:57
      650000 -- [-2117.597] (-2145.735) (-2164.630) (-2195.117) * (-2144.763) [-2139.881] (-2159.806) (-2301.947) -- 0:16:55

      Average standard deviation of split frequencies: 0.038457

      651000 -- [-2126.084] (-2171.882) (-2162.142) (-2177.271) * (-2141.993) [-2135.895] (-2169.232) (-2316.803) -- 0:16:53
      652000 -- [-2121.034] (-2179.199) (-2150.936) (-2163.823) * (-2132.476) [-2127.523] (-2157.890) (-2312.513) -- 0:16:50
      653000 -- [-2142.535] (-2183.079) (-2159.424) (-2166.459) * (-2142.309) [-2134.675] (-2172.683) (-2325.906) -- 0:16:48
      654000 -- (-2154.502) (-2193.093) (-2174.024) [-2153.862] * (-2145.915) [-2137.891] (-2164.409) (-2312.925) -- 0:16:45
      655000 -- (-2163.904) (-2187.206) [-2139.688] (-2146.350) * (-2135.430) [-2139.763] (-2175.705) (-2306.711) -- 0:16:42

      Average standard deviation of split frequencies: 0.038046

      656000 -- (-2165.419) (-2168.110) (-2138.545) [-2124.309] * (-2125.366) [-2140.185] (-2164.717) (-2307.702) -- 0:16:40
      657000 -- (-2149.597) (-2168.116) [-2139.585] (-2130.510) * [-2139.512] (-2152.491) (-2164.518) (-2317.558) -- 0:16:38
      658000 -- (-2140.925) (-2164.141) (-2156.107) [-2142.219] * [-2146.345] (-2155.619) (-2154.967) (-2296.030) -- 0:16:35
      659000 -- (-2159.036) (-2151.426) (-2174.757) [-2133.005] * (-2135.058) [-2150.546] (-2165.265) (-2289.404) -- 0:16:32
      660000 -- (-2152.035) (-2141.946) (-2158.473) [-2132.091] * (-2140.582) (-2172.945) [-2140.825] (-2311.455) -- 0:16:29

      Average standard deviation of split frequencies: 0.037183

      661000 -- [-2137.737] (-2148.912) (-2185.780) (-2139.871) * [-2134.364] (-2177.073) (-2140.999) (-2305.571) -- 0:16:25
      662000 -- (-2147.744) [-2135.636] (-2141.703) (-2144.071) * [-2134.942] (-2165.846) (-2174.706) (-2299.457) -- 0:16:22
      663000 -- (-2164.665) (-2142.725) [-2133.510] (-2150.431) * [-2148.400] (-2154.824) (-2159.494) (-2304.412) -- 0:16:19
      664000 -- (-2165.517) (-2158.824) (-2141.465) [-2142.333] * [-2145.506] (-2153.427) (-2166.924) (-2318.967) -- 0:16:16
      665000 -- (-2150.377) (-2168.623) [-2133.010] (-2155.027) * [-2149.355] (-2147.236) (-2182.789) (-2332.283) -- 0:16:13

      Average standard deviation of split frequencies: 0.036551

      666000 -- (-2165.964) (-2178.286) [-2132.819] (-2137.846) * [-2132.372] (-2155.629) (-2176.975) (-2304.475) -- 0:16:10
      667000 -- (-2163.455) (-2167.378) [-2135.945] (-2162.621) * [-2131.921] (-2144.092) (-2175.727) (-2303.637) -- 0:16:07
      668000 -- (-2154.070) [-2159.679] (-2135.807) (-2183.037) * (-2133.796) [-2141.540] (-2169.398) (-2314.995) -- 0:16:04
      669000 -- (-2142.518) (-2183.485) (-2137.164) [-2124.942] * [-2119.163] (-2148.997) (-2171.849) (-2310.656) -- 0:16:00
      670000 -- (-2152.355) (-2178.777) (-2144.548) [-2132.571] * [-2118.759] (-2138.558) (-2158.934) (-2307.218) -- 0:15:57

      Average standard deviation of split frequencies: 0.036043

      671000 -- (-2152.704) (-2184.324) (-2167.055) [-2129.604] * [-2130.283] (-2142.614) (-2162.052) (-2313.758) -- 0:15:54
      672000 -- (-2141.579) (-2185.312) (-2143.174) [-2122.737] * (-2145.654) [-2133.259] (-2161.632) (-2310.990) -- 0:15:52
      673000 -- (-2141.692) (-2190.104) (-2150.968) [-2132.172] * [-2133.158] (-2139.111) (-2156.546) (-2312.044) -- 0:15:49
      674000 -- (-2172.004) (-2145.909) (-2143.974) [-2136.882] * (-2147.846) [-2130.818] (-2149.441) (-2307.043) -- 0:15:47
      675000 -- [-2144.301] (-2153.542) (-2147.537) (-2169.401) * (-2150.566) [-2125.121] (-2153.059) (-2310.657) -- 0:15:44

      Average standard deviation of split frequencies: 0.035836

      676000 -- (-2151.686) [-2147.667] (-2145.641) (-2159.594) * (-2163.480) [-2119.129] (-2155.838) (-2310.728) -- 0:15:41
      677000 -- (-2145.865) (-2125.108) (-2174.159) [-2138.533] * (-2171.477) (-2124.646) [-2143.873] (-2299.440) -- 0:15:38
      678000 -- (-2206.789) [-2127.948] (-2162.372) (-2143.034) * (-2162.244) (-2136.455) [-2126.035] (-2302.504) -- 0:15:35
      679000 -- (-2157.772) [-2119.913] (-2163.442) (-2129.338) * (-2154.930) [-2133.787] (-2138.388) (-2326.630) -- 0:15:32
      680000 -- (-2173.217) (-2138.473) (-2160.550) [-2129.306] * (-2147.306) [-2136.520] (-2133.641) (-2329.734) -- 0:15:29

      Average standard deviation of split frequencies: 0.036494

      681000 -- (-2182.440) (-2146.220) (-2162.558) [-2132.493] * (-2150.425) (-2139.150) [-2139.909] (-2307.847) -- 0:15:26
      682000 -- (-2166.737) [-2143.008] (-2187.393) (-2145.371) * [-2132.329] (-2139.998) (-2160.787) (-2309.811) -- 0:15:23
      683000 -- (-2158.291) [-2144.976] (-2149.554) (-2155.280) * (-2142.336) [-2140.227] (-2151.096) (-2310.811) -- 0:15:20
      684000 -- (-2166.374) (-2148.082) [-2147.397] (-2166.221) * [-2130.217] (-2153.029) (-2144.239) (-2297.826) -- 0:15:17
      685000 -- (-2170.088) (-2157.818) (-2164.656) [-2151.505] * [-2121.696] (-2130.946) (-2149.875) (-2314.701) -- 0:15:14

      Average standard deviation of split frequencies: 0.036420

      686000 -- (-2164.381) (-2140.223) (-2180.628) [-2152.104] * [-2128.089] (-2122.182) (-2173.685) (-2303.333) -- 0:15:11
      687000 -- (-2173.971) (-2156.508) (-2181.323) [-2146.617] * [-2140.034] (-2149.999) (-2167.107) (-2317.143) -- 0:15:08
      688000 -- (-2197.213) (-2158.576) (-2167.105) [-2140.310] * (-2144.614) [-2137.431] (-2168.923) (-2322.659) -- 0:15:05
      689000 -- (-2181.652) (-2157.353) (-2190.452) [-2143.460] * (-2143.532) [-2137.266] (-2181.000) (-2317.326) -- 0:15:01
      690000 -- (-2160.314) (-2141.431) (-2197.639) [-2147.297] * (-2151.711) [-2145.530] (-2180.288) (-2309.579) -- 0:14:58

      Average standard deviation of split frequencies: 0.035947

      691000 -- (-2162.110) (-2153.388) (-2178.553) [-2157.997] * (-2154.095) [-2138.095] (-2198.909) (-2315.569) -- 0:14:55
      692000 -- (-2152.166) [-2137.794] (-2169.578) (-2153.501) * (-2148.612) [-2149.078] (-2168.480) (-2306.503) -- 0:14:52
      693000 -- (-2137.713) (-2151.107) (-2167.569) [-2147.998] * (-2146.278) [-2137.100] (-2149.835) (-2326.748) -- 0:14:49
      694000 -- (-2133.468) (-2158.651) (-2191.571) [-2142.749] * (-2138.172) [-2140.824] (-2167.485) (-2326.764) -- 0:14:46
      695000 -- (-2141.930) (-2140.892) (-2185.786) [-2144.093] * [-2139.115] (-2128.749) (-2182.232) (-2334.132) -- 0:14:43

      Average standard deviation of split frequencies: 0.035276

      696000 -- [-2129.737] (-2142.305) (-2177.194) (-2171.133) * [-2132.815] (-2134.361) (-2178.418) (-2335.384) -- 0:14:40
      697000 -- (-2140.813) [-2135.378] (-2206.957) (-2176.068) * (-2170.780) [-2148.993] (-2169.831) (-2324.691) -- 0:14:37
      698000 -- [-2121.083] (-2160.670) (-2215.732) (-2177.328) * (-2174.014) [-2146.850] (-2166.218) (-2320.905) -- 0:14:34
      699000 -- [-2128.951] (-2144.541) (-2239.559) (-2179.242) * (-2194.890) [-2154.841] (-2175.265) (-2296.923) -- 0:14:31
      700000 -- (-2139.351) [-2142.887] (-2189.168) (-2191.896) * (-2170.235) [-2158.620] (-2184.658) (-2305.158) -- 0:14:28

      Average standard deviation of split frequencies: 0.034443

      701000 -- (-2136.434) [-2139.233] (-2181.504) (-2198.607) * (-2172.752) [-2157.030] (-2170.529) (-2304.632) -- 0:14:25
      702000 -- (-2144.006) (-2156.675) [-2170.278] (-2211.727) * (-2171.669) [-2151.884] (-2162.199) (-2300.602) -- 0:14:22
      703000 -- [-2135.088] (-2149.203) (-2163.834) (-2201.894) * (-2181.767) [-2152.739] (-2183.357) (-2322.161) -- 0:14:19
      704000 -- (-2140.111) [-2143.996] (-2161.641) (-2185.887) * (-2207.308) [-2143.012] (-2148.963) (-2316.855) -- 0:14:16
      705000 -- [-2141.584] (-2141.996) (-2173.801) (-2186.431) * (-2180.645) [-2148.316] (-2150.670) (-2328.104) -- 0:14:13

      Average standard deviation of split frequencies: 0.034498

      706000 -- (-2157.923) [-2147.864] (-2168.211) (-2188.998) * (-2169.965) (-2133.004) [-2148.650] (-2321.216) -- 0:14:09
      707000 -- (-2146.968) [-2149.880] (-2159.977) (-2194.307) * (-2176.046) (-2141.077) [-2154.469] (-2325.007) -- 0:14:07
      708000 -- [-2137.180] (-2160.220) (-2151.708) (-2172.349) * (-2181.669) [-2135.435] (-2157.078) (-2321.958) -- 0:14:03
      709000 -- [-2135.175] (-2151.624) (-2177.878) (-2181.942) * (-2200.414) [-2144.859] (-2177.016) (-2304.498) -- 0:14:00
      710000 -- [-2127.987] (-2167.880) (-2160.775) (-2180.325) * (-2170.579) (-2153.367) [-2162.941] (-2302.599) -- 0:13:57

      Average standard deviation of split frequencies: 0.035248

      711000 -- [-2140.489] (-2171.936) (-2153.426) (-2189.916) * [-2147.400] (-2176.763) (-2157.513) (-2300.738) -- 0:13:54
      712000 -- (-2143.997) [-2165.709] (-2147.741) (-2192.158) * [-2144.305] (-2182.039) (-2165.829) (-2309.999) -- 0:13:51
      713000 -- [-2151.157] (-2164.068) (-2150.699) (-2210.939) * [-2141.065] (-2164.411) (-2165.391) (-2329.102) -- 0:13:48
      714000 -- [-2147.852] (-2185.738) (-2154.548) (-2174.555) * (-2146.330) [-2142.514] (-2165.062) (-2305.987) -- 0:13:45
      715000 -- [-2138.467] (-2171.017) (-2162.326) (-2188.382) * (-2149.251) [-2130.984] (-2171.260) (-2308.095) -- 0:13:42

      Average standard deviation of split frequencies: 0.036138

      716000 -- [-2136.978] (-2175.718) (-2155.643) (-2203.149) * (-2154.839) [-2133.165] (-2168.061) (-2310.424) -- 0:13:39
      717000 -- [-2129.520] (-2163.634) (-2156.494) (-2203.653) * [-2146.219] (-2147.139) (-2164.873) (-2299.095) -- 0:13:36
      718000 -- [-2134.153] (-2157.512) (-2169.509) (-2213.677) * [-2144.373] (-2158.559) (-2169.447) (-2319.569) -- 0:13:33
      719000 -- [-2116.435] (-2172.826) (-2166.073) (-2210.139) * [-2137.714] (-2156.268) (-2166.090) (-2325.148) -- 0:13:30
      720000 -- [-2133.320] (-2184.771) (-2162.361) (-2211.876) * [-2149.851] (-2161.251) (-2173.750) (-2294.463) -- 0:13:27

      Average standard deviation of split frequencies: 0.036776

      721000 -- [-2139.542] (-2164.603) (-2148.628) (-2206.832) * (-2140.055) [-2159.938] (-2170.953) (-2306.304) -- 0:13:24
      722000 -- [-2136.962] (-2156.500) (-2163.961) (-2210.889) * (-2147.163) (-2159.839) [-2159.561] (-2298.256) -- 0:13:21
      723000 -- (-2133.269) [-2150.295] (-2151.074) (-2200.817) * [-2139.180] (-2149.831) (-2159.463) (-2297.827) -- 0:13:18
      724000 -- [-2144.265] (-2155.125) (-2155.119) (-2206.734) * (-2147.844) [-2145.893] (-2164.304) (-2300.747) -- 0:13:15
      725000 -- [-2142.584] (-2181.958) (-2137.386) (-2179.381) * (-2139.610) [-2154.747] (-2151.418) (-2301.254) -- 0:13:12

      Average standard deviation of split frequencies: 0.036885

      726000 -- (-2139.704) (-2177.951) [-2135.024] (-2192.494) * [-2138.198] (-2153.901) (-2148.308) (-2306.097) -- 0:13:09
      727000 -- (-2167.040) (-2207.913) [-2128.783] (-2169.914) * (-2136.711) (-2175.868) [-2139.066] (-2291.140) -- 0:13:06
      728000 -- (-2161.523) (-2173.873) [-2115.638] (-2167.698) * [-2131.598] (-2167.105) (-2159.131) (-2293.230) -- 0:13:03
      729000 -- [-2150.690] (-2158.843) (-2157.181) (-2185.632) * [-2133.838] (-2147.383) (-2157.614) (-2291.377) -- 0:13:00
      730000 -- [-2144.093] (-2171.167) (-2135.057) (-2176.973) * [-2138.853] (-2145.746) (-2181.728) (-2285.343) -- 0:12:57

      Average standard deviation of split frequencies: 0.036542

      731000 -- (-2152.606) (-2162.040) [-2142.318] (-2196.962) * [-2120.927] (-2155.158) (-2188.128) (-2309.466) -- 0:12:54
      732000 -- (-2151.738) (-2169.046) [-2138.170] (-2188.788) * [-2123.131] (-2158.290) (-2179.014) (-2320.797) -- 0:12:51
      733000 -- (-2146.222) [-2142.733] (-2163.028) (-2191.987) * [-2127.099] (-2157.818) (-2155.763) (-2342.230) -- 0:12:48
      734000 -- [-2132.321] (-2165.890) (-2154.320) (-2200.163) * [-2133.257] (-2161.657) (-2176.632) (-2329.108) -- 0:12:45
      735000 -- [-2138.827] (-2169.917) (-2164.563) (-2203.404) * [-2139.448] (-2160.465) (-2159.996) (-2317.931) -- 0:12:42

      Average standard deviation of split frequencies: 0.036401

      736000 -- [-2133.761] (-2166.985) (-2156.837) (-2183.176) * [-2142.869] (-2157.842) (-2152.366) (-2341.671) -- 0:12:39
      737000 -- [-2127.635] (-2175.607) (-2139.543) (-2190.424) * [-2144.868] (-2167.816) (-2142.111) (-2334.119) -- 0:12:36
      738000 -- [-2133.322] (-2182.370) (-2148.909) (-2184.919) * [-2139.953] (-2156.103) (-2142.736) (-2335.083) -- 0:12:33
      739000 -- [-2142.001] (-2193.242) (-2156.779) (-2173.966) * (-2154.578) (-2156.817) [-2141.528] (-2343.638) -- 0:12:30
      740000 -- [-2140.599] (-2193.650) (-2163.075) (-2159.315) * (-2156.145) [-2140.204] (-2146.505) (-2330.695) -- 0:12:27

      Average standard deviation of split frequencies: 0.036490

      741000 -- (-2135.769) (-2178.664) [-2134.476] (-2164.412) * (-2171.885) (-2161.187) [-2150.487] (-2330.637) -- 0:12:24
      742000 -- [-2131.045] (-2180.026) (-2143.897) (-2158.073) * (-2169.844) (-2164.724) [-2139.777] (-2320.751) -- 0:12:21
      743000 -- (-2155.458) (-2189.860) [-2131.924] (-2162.245) * [-2160.825] (-2172.556) (-2147.014) (-2316.762) -- 0:12:18
      744000 -- (-2152.409) (-2204.312) [-2130.144] (-2172.954) * [-2139.184] (-2177.905) (-2143.140) (-2306.801) -- 0:12:15
      745000 -- [-2144.700] (-2201.403) (-2136.167) (-2162.441) * [-2127.714] (-2173.872) (-2163.718) (-2322.580) -- 0:12:12

      Average standard deviation of split frequencies: 0.036914

      746000 -- (-2150.722) (-2168.275) [-2131.189] (-2150.912) * [-2147.196] (-2147.678) (-2167.613) (-2315.978) -- 0:12:09
      747000 -- (-2139.518) (-2212.143) [-2143.478] (-2165.727) * [-2132.375] (-2146.946) (-2169.576) (-2328.524) -- 0:12:06
      748000 -- (-2126.361) (-2223.640) [-2127.931] (-2149.817) * [-2128.384] (-2156.170) (-2160.230) (-2313.936) -- 0:12:03
      749000 -- (-2132.438) (-2202.130) [-2130.494] (-2171.334) * (-2158.943) (-2150.068) [-2149.495] (-2326.669) -- 0:12:00
      750000 -- (-2145.174) (-2212.218) [-2133.291] (-2171.854) * (-2147.280) [-2134.224] (-2151.536) (-2305.164) -- 0:11:57

      Average standard deviation of split frequencies: 0.036318

      751000 -- (-2167.261) (-2192.567) [-2126.689] (-2137.244) * (-2143.085) [-2155.012] (-2166.209) (-2312.160) -- 0:11:54
      752000 -- (-2172.665) (-2180.083) [-2126.820] (-2139.855) * [-2130.623] (-2163.844) (-2158.557) (-2305.694) -- 0:11:52
      753000 -- (-2155.532) (-2231.063) [-2129.934] (-2143.413) * (-2148.793) [-2147.050] (-2160.204) (-2308.686) -- 0:11:49
      754000 -- [-2145.877] (-2219.014) (-2154.324) (-2154.940) * [-2138.545] (-2166.583) (-2146.570) (-2303.761) -- 0:11:47
      755000 -- [-2129.425] (-2182.592) (-2161.027) (-2162.654) * (-2137.931) (-2160.460) [-2141.744] (-2299.844) -- 0:11:44

      Average standard deviation of split frequencies: 0.036114

      756000 -- [-2137.120] (-2211.735) (-2159.431) (-2174.129) * [-2129.125] (-2164.735) (-2140.804) (-2310.319) -- 0:11:41
      757000 -- [-2143.261] (-2176.368) (-2169.338) (-2181.802) * [-2129.082] (-2159.306) (-2149.875) (-2327.703) -- 0:11:39
      758000 -- [-2130.217] (-2180.323) (-2168.251) (-2164.827) * [-2132.855] (-2171.526) (-2139.896) (-2318.268) -- 0:11:36
      759000 -- [-2138.827] (-2183.003) (-2148.312) (-2169.617) * [-2133.070] (-2166.063) (-2151.417) (-2316.104) -- 0:11:33
      760000 -- [-2132.395] (-2191.104) (-2145.630) (-2157.725) * [-2124.219] (-2166.596) (-2149.943) (-2331.312) -- 0:11:31

      Average standard deviation of split frequencies: 0.036185

      761000 -- (-2135.006) (-2171.815) [-2146.190] (-2160.973) * (-2155.444) [-2150.198] (-2156.455) (-2314.233) -- 0:11:28
      762000 -- (-2153.038) (-2185.806) [-2133.301] (-2162.523) * (-2154.291) [-2147.904] (-2191.643) (-2327.618) -- 0:11:25
      763000 -- (-2149.107) (-2192.118) [-2126.313] (-2176.335) * (-2161.666) [-2138.859] (-2174.982) (-2328.339) -- 0:11:23
      764000 -- (-2148.928) (-2197.772) [-2123.407] (-2173.249) * (-2152.237) [-2142.643] (-2175.818) (-2336.957) -- 0:11:20
      765000 -- (-2159.173) (-2181.416) [-2130.133] (-2180.031) * (-2149.777) [-2126.385] (-2163.519) (-2335.771) -- 0:11:17

      Average standard deviation of split frequencies: 0.035677

      766000 -- (-2169.487) (-2197.651) [-2129.196] (-2161.441) * (-2167.919) [-2133.174] (-2160.514) (-2319.832) -- 0:11:15
      767000 -- [-2149.931] (-2198.541) (-2141.933) (-2183.852) * (-2167.524) [-2132.894] (-2164.657) (-2322.122) -- 0:11:12
      768000 -- [-2134.819] (-2209.125) (-2139.701) (-2149.702) * (-2163.359) [-2128.406] (-2165.451) (-2319.200) -- 0:11:10
      769000 -- (-2154.661) (-2215.408) [-2137.568] (-2154.685) * (-2167.929) [-2125.102] (-2165.403) (-2315.404) -- 0:11:07
      770000 -- (-2165.968) (-2192.433) [-2122.161] (-2151.612) * (-2168.577) [-2128.871] (-2194.111) (-2308.253) -- 0:11:04

      Average standard deviation of split frequencies: 0.035104

      771000 -- (-2164.832) (-2225.449) (-2137.039) [-2136.472] * (-2164.928) [-2142.285] (-2175.501) (-2321.748) -- 0:11:01
      772000 -- (-2145.639) (-2197.137) [-2128.463] (-2139.581) * (-2169.006) [-2139.747] (-2209.457) (-2326.227) -- 0:10:58
      773000 -- (-2169.441) (-2206.195) [-2132.445] (-2137.919) * (-2175.017) [-2145.240] (-2195.788) (-2311.588) -- 0:10:55
      774000 -- (-2150.655) (-2212.415) (-2149.610) [-2120.498] * (-2173.709) [-2131.163] (-2181.457) (-2315.793) -- 0:10:52
      775000 -- (-2172.565) (-2192.017) [-2133.926] (-2141.139) * (-2188.512) [-2139.202] (-2161.297) (-2324.469) -- 0:10:50

      Average standard deviation of split frequencies: 0.034474

      776000 -- (-2169.736) (-2193.811) [-2137.063] (-2127.750) * (-2165.863) [-2136.425] (-2173.151) (-2325.320) -- 0:10:47
      777000 -- (-2169.540) (-2192.324) [-2131.539] (-2155.362) * (-2148.986) [-2139.880] (-2172.252) (-2322.196) -- 0:10:44
      778000 -- (-2177.390) (-2193.422) [-2145.334] (-2144.607) * (-2168.787) (-2140.445) [-2144.388] (-2329.397) -- 0:10:42
      779000 -- (-2172.677) (-2189.804) [-2140.934] (-2154.644) * (-2152.358) (-2169.693) [-2142.465] (-2307.734) -- 0:10:39
      780000 -- (-2171.029) (-2202.851) [-2147.759] (-2153.635) * (-2139.150) (-2169.920) [-2138.583] (-2311.966) -- 0:10:36

      Average standard deviation of split frequencies: 0.034302

      781000 -- (-2177.731) (-2189.278) (-2158.873) [-2144.329] * (-2133.627) (-2212.978) [-2135.509] (-2306.518) -- 0:10:34
      782000 -- (-2221.064) (-2156.693) (-2156.973) [-2139.844] * (-2140.281) (-2196.221) [-2132.132] (-2308.798) -- 0:10:31
      783000 -- (-2206.218) (-2152.256) (-2170.581) [-2128.439] * (-2128.474) (-2184.986) [-2129.617] (-2311.599) -- 0:10:28
      784000 -- (-2167.495) (-2202.448) (-2151.138) [-2134.937] * [-2133.139] (-2195.508) (-2151.099) (-2296.445) -- 0:10:25
      785000 -- (-2181.548) (-2175.991) [-2141.265] (-2136.367) * [-2133.041] (-2191.159) (-2151.025) (-2297.954) -- 0:10:23

      Average standard deviation of split frequencies: 0.033262

      786000 -- (-2169.398) (-2186.162) (-2149.330) [-2129.384] * [-2135.863] (-2184.772) (-2158.059) (-2290.573) -- 0:10:20
      787000 -- (-2173.796) (-2171.805) (-2165.545) [-2130.961] * [-2127.832] (-2197.710) (-2153.141) (-2298.984) -- 0:10:17
      788000 -- (-2183.163) (-2137.832) (-2146.528) [-2122.975] * (-2141.790) (-2187.927) [-2139.607] (-2297.358) -- 0:10:15
      789000 -- (-2174.111) (-2150.261) (-2150.862) [-2124.560] * (-2150.279) (-2193.454) [-2143.750] (-2313.082) -- 0:10:12
      790000 -- (-2171.672) (-2169.159) (-2142.680) [-2120.751] * [-2156.244] (-2189.794) (-2147.614) (-2308.621) -- 0:10:09

      Average standard deviation of split frequencies: 0.033222

      791000 -- (-2143.451) (-2170.000) (-2159.848) [-2118.508] * (-2157.055) (-2175.734) [-2134.567] (-2290.869) -- 0:10:06
      792000 -- (-2156.277) (-2148.834) (-2169.586) [-2123.580] * (-2155.665) (-2170.615) [-2141.261] (-2304.869) -- 0:10:04
      793000 -- (-2161.888) (-2152.189) (-2141.922) [-2138.344] * (-2158.875) [-2141.093] (-2160.757) (-2303.711) -- 0:10:01
      794000 -- (-2134.201) (-2163.141) (-2159.624) [-2142.362] * [-2148.572] (-2146.589) (-2160.347) (-2306.284) -- 0:09:58
      795000 -- (-2141.171) (-2173.560) (-2159.393) [-2132.458] * (-2156.357) [-2128.650] (-2148.411) (-2324.514) -- 0:09:55

      Average standard deviation of split frequencies: 0.032588

      796000 -- [-2139.475] (-2156.160) (-2155.287) (-2144.266) * (-2159.175) [-2131.430] (-2152.939) (-2314.196) -- 0:09:52
      797000 -- [-2137.802] (-2168.326) (-2138.785) (-2151.327) * (-2136.779) [-2152.156] (-2188.907) (-2329.258) -- 0:09:49
      798000 -- (-2134.320) (-2144.755) [-2129.875] (-2164.935) * [-2127.543] (-2155.145) (-2153.285) (-2323.456) -- 0:09:46
      799000 -- (-2166.395) (-2174.133) (-2137.071) [-2133.168] * [-2137.708] (-2176.165) (-2154.040) (-2321.246) -- 0:09:43
      800000 -- (-2164.280) (-2176.133) [-2134.757] (-2164.782) * [-2129.234] (-2172.162) (-2161.475) (-2320.505) -- 0:09:40

      Average standard deviation of split frequencies: 0.032088

      801000 -- (-2143.507) (-2159.223) [-2146.438] (-2188.160) * [-2131.856] (-2193.900) (-2166.621) (-2324.759) -- 0:09:37
      802000 -- (-2147.912) (-2176.197) [-2139.466] (-2170.400) * [-2126.589] (-2182.860) (-2147.294) (-2338.148) -- 0:09:34
      803000 -- (-2147.955) (-2183.293) (-2141.541) [-2152.489] * [-2140.012] (-2170.196) (-2149.677) (-2345.803) -- 0:09:31
      804000 -- [-2135.686] (-2198.147) (-2160.682) (-2146.617) * [-2135.207] (-2165.994) (-2136.880) (-2335.263) -- 0:09:28
      805000 -- [-2139.144] (-2197.478) (-2159.135) (-2138.053) * [-2123.915] (-2155.884) (-2141.232) (-2346.807) -- 0:09:25

      Average standard deviation of split frequencies: 0.030771

      806000 -- [-2147.913] (-2179.727) (-2181.566) (-2152.255) * [-2129.942] (-2161.531) (-2142.786) (-2339.161) -- 0:09:22
      807000 -- [-2152.189] (-2153.786) (-2180.390) (-2183.873) * [-2133.028] (-2172.951) (-2157.648) (-2326.655) -- 0:09:19
      808000 -- (-2179.788) [-2136.374] (-2167.099) (-2139.162) * [-2128.315] (-2160.498) (-2165.764) (-2310.039) -- 0:09:16
      809000 -- [-2148.123] (-2138.840) (-2163.553) (-2166.213) * [-2121.812] (-2162.392) (-2178.634) (-2322.418) -- 0:09:13
      810000 -- (-2144.215) (-2144.852) (-2158.940) [-2158.354] * [-2113.132] (-2155.109) (-2168.766) (-2330.323) -- 0:09:10

      Average standard deviation of split frequencies: 0.029511

      811000 -- (-2135.612) (-2128.679) (-2185.848) [-2143.206] * [-2116.704] (-2160.175) (-2154.567) (-2315.711) -- 0:09:07
      812000 -- [-2125.191] (-2141.990) (-2175.925) (-2133.358) * [-2128.712] (-2170.014) (-2161.939) (-2313.014) -- 0:09:04
      813000 -- (-2137.762) (-2175.781) (-2154.869) [-2139.574] * [-2132.208] (-2149.105) (-2169.695) (-2328.261) -- 0:09:01
      814000 -- (-2152.211) (-2168.645) (-2164.126) [-2139.820] * [-2130.180] (-2146.586) (-2185.392) (-2322.894) -- 0:08:58
      815000 -- (-2140.471) (-2184.884) (-2177.265) [-2147.179] * [-2133.971] (-2156.518) (-2179.097) (-2327.032) -- 0:08:55

      Average standard deviation of split frequencies: 0.027906

      816000 -- [-2144.294] (-2190.271) (-2156.852) (-2157.347) * (-2124.580) (-2167.584) [-2151.074] (-2312.815) -- 0:08:52
      817000 -- [-2134.219] (-2220.871) (-2177.314) (-2159.095) * [-2131.635] (-2143.451) (-2151.819) (-2328.124) -- 0:08:49
      818000 -- (-2137.543) (-2221.788) (-2164.754) [-2148.231] * [-2134.826] (-2151.084) (-2153.008) (-2326.047) -- 0:08:47
      819000 -- [-2140.555] (-2232.426) (-2164.143) (-2142.427) * [-2129.816] (-2138.788) (-2185.236) (-2319.301) -- 0:08:44
      820000 -- [-2132.576] (-2222.119) (-2169.187) (-2153.289) * (-2135.515) [-2130.177] (-2178.440) (-2303.757) -- 0:08:41

      Average standard deviation of split frequencies: 0.026742

      821000 -- [-2130.660] (-2206.654) (-2169.114) (-2138.105) * [-2125.571] (-2146.170) (-2169.628) (-2319.521) -- 0:08:38
      822000 -- [-2124.749] (-2208.890) (-2182.045) (-2151.896) * [-2132.102] (-2143.530) (-2163.793) (-2319.304) -- 0:08:36
      823000 -- [-2129.515] (-2211.353) (-2177.151) (-2145.766) * [-2135.289] (-2143.076) (-2191.022) (-2309.109) -- 0:08:32
      824000 -- [-2118.424] (-2181.541) (-2164.507) (-2145.487) * [-2133.834] (-2147.982) (-2202.520) (-2310.565) -- 0:08:30
      825000 -- (-2119.387) (-2199.674) (-2161.918) [-2139.422] * [-2129.067] (-2151.295) (-2199.546) (-2324.804) -- 0:08:26

      Average standard deviation of split frequencies: 0.026126

      826000 -- [-2126.427] (-2196.039) (-2167.092) (-2141.820) * [-2121.341] (-2151.630) (-2196.079) (-2332.469) -- 0:08:24
      827000 -- [-2130.824] (-2191.229) (-2159.260) (-2135.453) * [-2122.681] (-2161.832) (-2202.906) (-2352.523) -- 0:08:21
      828000 -- (-2136.722) (-2202.276) (-2153.487) [-2120.436] * (-2132.601) [-2140.962] (-2161.438) (-2333.993) -- 0:08:18
      829000 -- (-2142.228) (-2192.123) (-2150.101) [-2140.337] * [-2134.576] (-2139.590) (-2159.583) (-2323.755) -- 0:08:16
      830000 -- (-2143.755) (-2202.637) [-2140.657] (-2166.353) * [-2120.562] (-2135.677) (-2163.802) (-2322.619) -- 0:08:13

      Average standard deviation of split frequencies: 0.024970

      831000 -- (-2135.194) (-2210.453) [-2125.318] (-2165.482) * [-2129.975] (-2156.111) (-2145.141) (-2307.248) -- 0:08:10
      832000 -- [-2126.717] (-2211.783) (-2133.567) (-2164.848) * [-2133.297] (-2140.887) (-2173.912) (-2307.306) -- 0:08:07
      833000 -- (-2123.699) (-2197.662) [-2132.602] (-2148.799) * [-2125.760] (-2145.525) (-2150.644) (-2325.805) -- 0:08:05
      834000 -- [-2131.155] (-2214.582) (-2156.063) (-2161.980) * [-2123.713] (-2139.004) (-2148.003) (-2295.625) -- 0:08:02
      835000 -- [-2121.532] (-2209.878) (-2165.723) (-2155.659) * (-2118.633) [-2137.122] (-2163.378) (-2318.216) -- 0:07:59

      Average standard deviation of split frequencies: 0.023652

      836000 -- [-2136.237] (-2197.663) (-2137.639) (-2154.881) * [-2135.312] (-2145.884) (-2160.113) (-2307.482) -- 0:07:56
      837000 -- [-2139.470] (-2206.466) (-2139.531) (-2164.143) * (-2141.030) [-2146.412] (-2171.411) (-2315.413) -- 0:07:53
      838000 -- (-2139.857) (-2192.232) [-2137.561] (-2165.732) * [-2134.502] (-2134.887) (-2169.731) (-2298.345) -- 0:07:50
      839000 -- (-2137.752) (-2178.419) [-2135.249] (-2179.885) * (-2136.673) [-2133.394] (-2159.651) (-2320.680) -- 0:07:47
      840000 -- [-2136.439] (-2152.982) (-2144.343) (-2173.733) * (-2135.992) [-2125.508] (-2163.022) (-2312.819) -- 0:07:44

      Average standard deviation of split frequencies: 0.022866

      841000 -- [-2136.694] (-2156.400) (-2143.081) (-2179.625) * (-2137.227) [-2139.902] (-2142.240) (-2320.706) -- 0:07:41
      842000 -- (-2161.974) (-2181.876) [-2133.590] (-2166.102) * [-2143.037] (-2143.746) (-2137.258) (-2311.738) -- 0:07:38
      843000 -- (-2152.647) (-2155.194) [-2139.661] (-2160.409) * [-2137.420] (-2147.612) (-2131.933) (-2319.662) -- 0:07:36
      844000 -- (-2148.835) [-2131.897] (-2152.315) (-2145.907) * [-2132.468] (-2155.788) (-2139.370) (-2303.340) -- 0:07:33
      845000 -- (-2169.076) [-2131.043] (-2173.322) (-2149.102) * [-2132.840] (-2147.833) (-2147.290) (-2298.980) -- 0:07:30

      Average standard deviation of split frequencies: 0.022304

      846000 -- (-2157.331) [-2115.248] (-2187.321) (-2166.410) * [-2123.811] (-2157.423) (-2148.978) (-2317.514) -- 0:07:27
      847000 -- (-2148.034) [-2122.414] (-2175.291) (-2149.533) * [-2125.214] (-2146.321) (-2151.377) (-2324.106) -- 0:07:24
      848000 -- [-2134.361] (-2141.079) (-2165.017) (-2173.842) * [-2137.591] (-2137.225) (-2158.008) (-2318.580) -- 0:07:21
      849000 -- [-2126.986] (-2128.514) (-2176.381) (-2173.972) * [-2133.561] (-2145.389) (-2164.185) (-2329.830) -- 0:07:18
      850000 -- (-2143.020) [-2130.622] (-2185.970) (-2148.543) * (-2142.161) [-2122.867] (-2138.871) (-2323.867) -- 0:07:15

      Average standard deviation of split frequencies: 0.021997

      851000 -- [-2137.674] (-2142.655) (-2178.827) (-2127.996) * (-2165.616) [-2122.790] (-2138.459) (-2316.842) -- 0:07:12
      852000 -- (-2150.817) [-2140.635] (-2210.550) (-2139.144) * (-2172.192) [-2129.065] (-2140.974) (-2310.626) -- 0:07:09
      853000 -- (-2142.246) [-2130.190] (-2216.785) (-2153.356) * (-2167.472) (-2145.871) [-2142.215] (-2302.971) -- 0:07:06
      854000 -- [-2145.984] (-2142.124) (-2199.613) (-2149.067) * (-2169.367) [-2146.870] (-2142.884) (-2314.174) -- 0:07:03
      855000 -- [-2131.834] (-2125.723) (-2198.665) (-2154.837) * [-2137.436] (-2142.626) (-2179.154) (-2319.494) -- 0:07:00

      Average standard deviation of split frequencies: 0.021814

      856000 -- (-2150.203) [-2122.247] (-2189.421) (-2156.669) * (-2152.225) [-2118.706] (-2175.262) (-2307.968) -- 0:06:57
      857000 -- (-2148.431) (-2132.928) (-2171.477) [-2152.679] * (-2163.966) [-2125.966] (-2153.642) (-2318.345) -- 0:06:54
      858000 -- [-2128.182] (-2140.573) (-2171.990) (-2160.939) * (-2158.802) [-2131.464] (-2170.810) (-2301.065) -- 0:06:51
      859000 -- [-2131.592] (-2145.424) (-2162.566) (-2198.501) * [-2149.326] (-2125.416) (-2171.672) (-2303.426) -- 0:06:48
      860000 -- [-2131.240] (-2133.923) (-2192.121) (-2176.158) * (-2151.205) [-2131.545] (-2167.217) (-2308.819) -- 0:06:45

      Average standard deviation of split frequencies: 0.021658

      861000 -- (-2155.690) [-2133.688] (-2163.305) (-2186.209) * (-2173.127) [-2127.413] (-2150.383) (-2325.565) -- 0:06:42
      862000 -- (-2140.415) [-2131.904] (-2167.168) (-2168.103) * (-2188.582) [-2120.487] (-2146.349) (-2317.108) -- 0:06:39
      863000 -- (-2133.435) [-2117.179] (-2171.634) (-2155.334) * (-2189.585) [-2129.304] (-2161.442) (-2303.071) -- 0:06:36
      864000 -- [-2142.671] (-2123.601) (-2173.913) (-2158.243) * (-2167.560) [-2134.285] (-2152.138) (-2298.161) -- 0:06:33
      865000 -- (-2158.520) [-2128.332] (-2144.273) (-2146.048) * (-2168.200) [-2130.419] (-2157.982) (-2302.597) -- 0:06:30

      Average standard deviation of split frequencies: 0.021618

      866000 -- (-2180.259) [-2130.433] (-2156.514) (-2147.301) * (-2138.940) [-2136.572] (-2160.048) (-2307.731) -- 0:06:27
      867000 -- (-2179.342) [-2141.867] (-2167.356) (-2134.166) * (-2139.074) [-2131.537] (-2178.432) (-2301.341) -- 0:06:24
      868000 -- (-2187.558) [-2153.433] (-2176.445) (-2146.450) * (-2161.035) [-2135.867] (-2154.463) (-2303.019) -- 0:06:21
      869000 -- (-2175.248) [-2156.330] (-2188.813) (-2153.895) * (-2155.494) [-2145.444] (-2154.526) (-2310.782) -- 0:06:18
      870000 -- (-2159.181) [-2143.576] (-2192.024) (-2185.216) * [-2129.064] (-2151.271) (-2151.487) (-2318.213) -- 0:06:15

      Average standard deviation of split frequencies: 0.021657

      871000 -- [-2142.599] (-2149.000) (-2156.915) (-2213.649) * [-2128.848] (-2142.121) (-2154.196) (-2323.423) -- 0:06:12
      872000 -- [-2147.127] (-2146.676) (-2161.668) (-2192.100) * [-2131.590] (-2152.382) (-2152.122) (-2334.779) -- 0:06:10
      873000 -- [-2148.430] (-2150.475) (-2162.180) (-2191.894) * (-2153.510) [-2158.211] (-2170.229) (-2339.091) -- 0:06:07
      874000 -- [-2170.549] (-2164.936) (-2156.929) (-2162.619) * [-2134.578] (-2146.261) (-2175.970) (-2335.058) -- 0:06:04
      875000 -- (-2179.741) (-2187.324) [-2141.273] (-2156.229) * (-2155.367) [-2129.196] (-2188.901) (-2347.952) -- 0:06:01

      Average standard deviation of split frequencies: 0.021156

      876000 -- (-2160.334) (-2180.231) [-2142.721] (-2161.602) * (-2149.851) [-2128.359] (-2191.750) (-2342.397) -- 0:05:58
      877000 -- (-2172.064) (-2174.595) [-2131.062] (-2170.437) * (-2154.083) [-2137.566] (-2173.400) (-2355.716) -- 0:05:55
      878000 -- (-2175.978) (-2189.246) [-2131.510] (-2167.788) * (-2144.109) [-2135.545] (-2182.046) (-2352.441) -- 0:05:52
      879000 -- [-2162.694] (-2165.411) (-2140.575) (-2175.889) * (-2157.267) [-2141.073] (-2149.691) (-2338.830) -- 0:05:49
      880000 -- (-2163.442) (-2156.700) [-2147.771] (-2188.331) * (-2164.222) (-2149.949) [-2146.188] (-2337.567) -- 0:05:46

      Average standard deviation of split frequencies: 0.021167

      881000 -- (-2161.532) [-2142.261] (-2148.281) (-2185.439) * [-2148.324] (-2170.394) (-2142.035) (-2362.992) -- 0:05:43
      882000 -- (-2157.792) [-2143.772] (-2169.320) (-2183.864) * (-2146.410) (-2161.862) [-2137.460] (-2351.819) -- 0:05:40
      883000 -- (-2155.690) [-2130.536] (-2169.042) (-2191.203) * (-2168.349) (-2149.355) [-2149.000] (-2362.322) -- 0:05:37
      884000 -- (-2154.223) [-2147.245] (-2170.750) (-2192.053) * (-2172.753) (-2158.992) [-2126.644] (-2346.502) -- 0:05:34
      885000 -- (-2177.254) (-2149.172) [-2156.190] (-2181.660) * (-2175.396) [-2152.676] (-2137.583) (-2346.933) -- 0:05:31

      Average standard deviation of split frequencies: 0.021526

      886000 -- (-2158.099) (-2161.206) [-2143.126] (-2171.110) * [-2136.886] (-2156.408) (-2141.921) (-2341.778) -- 0:05:29
      887000 -- (-2155.023) (-2166.270) [-2138.532] (-2175.936) * [-2143.522] (-2164.902) (-2144.933) (-2346.280) -- 0:05:26
      888000 -- (-2160.876) (-2148.036) [-2134.958] (-2173.648) * (-2132.621) [-2152.486] (-2153.598) (-2329.290) -- 0:05:23
      889000 -- (-2146.934) (-2152.839) [-2132.480] (-2178.284) * [-2133.787] (-2157.946) (-2187.306) (-2338.563) -- 0:05:20
      890000 -- (-2135.244) (-2166.434) [-2137.281] (-2165.371) * [-2133.699] (-2151.475) (-2166.633) (-2339.153) -- 0:05:17

      Average standard deviation of split frequencies: 0.020899

      891000 -- (-2137.655) (-2157.290) [-2136.043] (-2166.804) * (-2156.274) [-2142.685] (-2148.675) (-2340.763) -- 0:05:14
      892000 -- (-2141.548) (-2177.676) [-2137.820] (-2172.359) * (-2152.934) [-2139.034] (-2174.856) (-2323.537) -- 0:05:11
      893000 -- [-2137.729] (-2181.932) (-2158.063) (-2187.507) * (-2167.504) [-2135.561] (-2157.126) (-2319.929) -- 0:05:08
      894000 -- [-2134.720] (-2147.750) (-2169.008) (-2188.195) * (-2174.487) [-2131.261] (-2170.015) (-2306.627) -- 0:05:05
      895000 -- [-2142.126] (-2150.837) (-2177.194) (-2187.723) * (-2158.203) [-2138.069] (-2185.219) (-2318.989) -- 0:05:02

      Average standard deviation of split frequencies: 0.021015

      896000 -- [-2137.526] (-2163.045) (-2193.946) (-2178.855) * (-2146.280) [-2141.147] (-2158.604) (-2324.909) -- 0:04:59
      897000 -- (-2146.981) (-2171.660) [-2151.396] (-2167.166) * (-2152.255) [-2142.289] (-2153.047) (-2341.051) -- 0:04:56
      898000 -- (-2163.846) (-2184.352) [-2143.257] (-2164.898) * (-2144.409) [-2127.447] (-2154.614) (-2344.178) -- 0:04:53
      899000 -- (-2184.399) (-2158.101) [-2125.326] (-2163.435) * [-2139.876] (-2131.865) (-2162.986) (-2333.440) -- 0:04:50
      900000 -- (-2196.859) (-2152.859) [-2118.700] (-2166.679) * (-2140.225) [-2135.628] (-2149.787) (-2326.083) -- 0:04:48

      Average standard deviation of split frequencies: 0.021399

      901000 -- (-2182.362) (-2166.977) [-2125.758] (-2155.343) * (-2142.284) [-2129.719] (-2138.561) (-2324.848) -- 0:04:45
      902000 -- (-2222.147) (-2163.449) [-2111.776] (-2172.873) * (-2136.854) [-2134.482] (-2162.626) (-2307.707) -- 0:04:42
      903000 -- (-2185.106) (-2166.894) [-2118.840] (-2157.266) * (-2132.574) [-2132.163] (-2156.103) (-2301.889) -- 0:04:39
      904000 -- (-2198.333) (-2154.114) [-2127.092] (-2167.644) * [-2137.228] (-2146.258) (-2157.468) (-2302.919) -- 0:04:36
      905000 -- (-2217.032) [-2139.799] (-2129.048) (-2169.686) * (-2154.691) (-2157.174) [-2141.718] (-2288.419) -- 0:04:33

      Average standard deviation of split frequencies: 0.021600

      906000 -- (-2209.693) (-2145.543) [-2138.769] (-2172.842) * (-2157.064) (-2148.727) [-2132.045] (-2299.982) -- 0:04:30
      907000 -- (-2204.717) (-2152.060) [-2143.293] (-2179.564) * (-2154.900) [-2141.703] (-2129.298) (-2302.464) -- 0:04:27
      908000 -- (-2200.296) [-2143.668] (-2139.880) (-2180.326) * (-2154.672) (-2150.402) [-2122.025] (-2309.586) -- 0:04:24
      909000 -- (-2193.641) (-2158.131) [-2121.285] (-2158.611) * [-2142.686] (-2152.025) (-2129.687) (-2313.833) -- 0:04:21
      910000 -- (-2177.611) (-2180.421) [-2113.102] (-2157.088) * (-2157.702) (-2158.159) [-2136.893] (-2330.718) -- 0:04:18

      Average standard deviation of split frequencies: 0.022170

      911000 -- (-2161.417) (-2167.992) [-2133.337] (-2158.039) * [-2147.420] (-2146.273) (-2141.932) (-2306.915) -- 0:04:15
      912000 -- (-2166.751) (-2193.566) [-2132.986] (-2149.282) * (-2142.952) (-2155.403) [-2130.960] (-2304.027) -- 0:04:13
      913000 -- (-2146.266) (-2197.017) [-2125.871] (-2159.202) * (-2147.226) (-2161.547) [-2143.626] (-2306.081) -- 0:04:10
      914000 -- (-2172.404) (-2205.051) [-2135.670] (-2171.414) * (-2139.918) (-2151.026) [-2139.238] (-2311.861) -- 0:04:07
      915000 -- (-2159.273) (-2183.662) [-2129.942] (-2178.683) * (-2132.061) (-2151.940) [-2129.276] (-2323.443) -- 0:04:04

      Average standard deviation of split frequencies: 0.023544

      916000 -- (-2155.373) (-2191.095) [-2121.479] (-2174.501) * (-2146.553) [-2143.378] (-2143.830) (-2321.442) -- 0:04:01
      917000 -- (-2158.132) (-2196.200) [-2132.073] (-2196.135) * (-2158.632) [-2133.240] (-2144.956) (-2320.340) -- 0:03:58
      918000 -- (-2156.635) (-2180.371) [-2134.352] (-2187.220) * (-2171.801) [-2124.424] (-2151.217) (-2316.454) -- 0:03:55
      919000 -- (-2142.498) (-2207.815) [-2135.093] (-2184.504) * (-2165.399) [-2121.672] (-2152.735) (-2328.836) -- 0:03:52
      920000 -- (-2149.186) (-2200.730) [-2129.232] (-2186.023) * (-2165.679) (-2134.653) [-2143.874] (-2323.698) -- 0:03:49

      Average standard deviation of split frequencies: 0.024762

      921000 -- [-2135.130] (-2217.894) (-2132.045) (-2186.634) * (-2178.181) [-2130.894] (-2130.215) (-2327.263) -- 0:03:46
      922000 -- [-2121.581] (-2220.288) (-2137.930) (-2180.116) * (-2169.494) [-2121.185] (-2132.868) (-2320.281) -- 0:03:44
      923000 -- [-2129.254] (-2203.125) (-2134.963) (-2195.446) * (-2155.126) [-2133.936] (-2144.708) (-2322.718) -- 0:03:41
      924000 -- [-2131.774] (-2201.558) (-2134.718) (-2178.857) * (-2156.534) (-2135.480) [-2146.986] (-2324.900) -- 0:03:38
      925000 -- (-2118.017) (-2199.861) [-2127.878] (-2159.666) * (-2174.459) [-2124.760] (-2145.203) (-2346.010) -- 0:03:35

      Average standard deviation of split frequencies: 0.024436

      926000 -- (-2134.861) (-2176.198) [-2115.280] (-2162.189) * (-2177.206) [-2130.946] (-2139.868) (-2347.720) -- 0:03:32
      927000 -- (-2135.707) (-2188.244) [-2127.262] (-2153.223) * (-2181.651) [-2139.543] (-2142.527) (-2339.876) -- 0:03:29
      928000 -- (-2131.315) (-2165.669) [-2123.462] (-2164.320) * (-2179.318) (-2142.917) [-2132.360] (-2324.315) -- 0:03:27
      929000 -- [-2134.196] (-2174.683) (-2141.104) (-2171.473) * (-2185.230) (-2159.248) [-2155.051] (-2332.635) -- 0:03:24
      930000 -- (-2150.639) (-2185.298) [-2135.825] (-2168.808) * (-2180.765) (-2142.302) [-2150.091] (-2327.424) -- 0:03:21

      Average standard deviation of split frequencies: 0.025256

      931000 -- [-2137.297] (-2166.297) (-2151.382) (-2186.942) * (-2169.728) [-2143.306] (-2148.381) (-2331.079) -- 0:03:18
      932000 -- (-2143.719) (-2180.122) [-2139.058] (-2184.312) * (-2186.851) [-2149.465] (-2155.784) (-2322.133) -- 0:03:15
      933000 -- (-2145.766) (-2196.333) [-2134.160] (-2169.675) * (-2180.485) [-2141.130] (-2155.081) (-2334.005) -- 0:03:12
      934000 -- (-2177.307) (-2222.770) [-2115.548] (-2160.611) * (-2175.512) [-2135.811] (-2152.093) (-2355.456) -- 0:03:09
      935000 -- (-2179.931) (-2199.047) [-2116.680] (-2168.003) * (-2181.260) [-2150.537] (-2143.189) (-2323.922) -- 0:03:06

      Average standard deviation of split frequencies: 0.025617

      936000 -- (-2181.254) (-2189.596) [-2123.896] (-2154.449) * (-2174.230) [-2125.168] (-2138.346) (-2296.633) -- 0:03:03
      937000 -- (-2182.041) (-2191.487) (-2144.464) [-2155.408] * (-2178.236) [-2122.930] (-2144.068) (-2302.729) -- 0:03:00
      938000 -- (-2167.914) (-2184.901) [-2140.804] (-2149.948) * (-2184.603) [-2122.015] (-2138.096) (-2317.505) -- 0:02:58
      939000 -- (-2171.756) (-2168.545) (-2142.485) [-2134.146] * (-2187.121) (-2130.943) [-2135.112] (-2320.115) -- 0:02:55
      940000 -- (-2168.136) (-2177.560) (-2158.797) [-2138.100] * (-2172.417) [-2137.102] (-2147.929) (-2322.524) -- 0:02:52

      Average standard deviation of split frequencies: 0.025802

      941000 -- (-2144.295) (-2198.366) (-2156.363) [-2131.955] * (-2170.782) [-2127.769] (-2150.928) (-2304.085) -- 0:02:49
      942000 -- (-2162.003) (-2189.128) (-2146.077) [-2127.996] * (-2177.928) [-2141.179] (-2148.866) (-2315.237) -- 0:02:46
      943000 -- (-2150.102) (-2177.690) (-2135.402) [-2124.273] * (-2179.258) (-2158.008) [-2146.591] (-2320.579) -- 0:02:43
      944000 -- (-2153.761) (-2159.870) [-2143.772] (-2140.906) * (-2171.201) [-2157.294] (-2155.736) (-2332.927) -- 0:02:40
      945000 -- (-2160.962) (-2181.122) (-2159.900) [-2129.115] * (-2171.493) (-2164.344) [-2145.188] (-2331.377) -- 0:02:37

      Average standard deviation of split frequencies: 0.025320

      946000 -- (-2152.615) (-2183.156) (-2139.383) [-2129.083] * (-2157.229) (-2168.559) [-2135.437] (-2307.589) -- 0:02:34
      947000 -- (-2147.627) (-2173.393) (-2158.373) [-2128.168] * (-2195.704) [-2151.015] (-2130.427) (-2321.280) -- 0:02:32
      948000 -- (-2137.663) (-2183.772) (-2181.859) [-2135.465] * (-2178.751) (-2168.293) [-2136.453] (-2319.436) -- 0:02:29
      949000 -- (-2138.133) (-2189.696) (-2175.119) [-2138.697] * (-2180.093) (-2159.886) [-2117.489] (-2314.868) -- 0:02:26
      950000 -- (-2131.601) (-2179.829) (-2175.507) [-2134.557] * (-2188.797) (-2171.897) [-2114.861] (-2312.639) -- 0:02:23

      Average standard deviation of split frequencies: 0.025110

      951000 -- (-2166.977) (-2178.346) (-2161.108) [-2133.244] * (-2202.853) (-2140.946) [-2123.191] (-2321.836) -- 0:02:20
      952000 -- (-2156.037) (-2192.015) [-2154.803] (-2135.237) * (-2186.905) (-2150.615) [-2118.477] (-2337.269) -- 0:02:17
      953000 -- (-2163.692) (-2154.054) (-2165.695) [-2136.810] * (-2175.062) (-2163.409) [-2119.237] (-2321.607) -- 0:02:14
      954000 -- (-2137.382) (-2174.620) (-2186.811) [-2145.226] * (-2158.159) (-2154.766) [-2124.384] (-2326.353) -- 0:02:11
      955000 -- [-2130.648] (-2168.997) (-2169.038) (-2133.515) * (-2165.221) (-2146.578) [-2123.852] (-2333.080) -- 0:02:08

      Average standard deviation of split frequencies: 0.024545

      956000 -- (-2124.286) [-2133.128] (-2179.391) (-2130.274) * (-2164.658) (-2145.514) [-2136.892] (-2301.188) -- 0:02:06
      957000 -- (-2149.984) (-2154.009) (-2173.458) [-2123.901] * (-2144.253) [-2138.605] (-2134.951) (-2305.787) -- 0:02:03
      958000 -- (-2145.397) (-2162.826) (-2180.069) [-2133.711] * (-2177.714) [-2132.731] (-2130.839) (-2297.641) -- 0:02:00
      959000 -- (-2158.257) (-2160.937) (-2207.927) [-2143.958] * (-2169.928) (-2144.439) [-2140.862] (-2307.206) -- 0:01:57
      960000 -- (-2158.823) (-2164.351) (-2193.840) [-2135.254] * (-2160.061) [-2137.269] (-2162.302) (-2327.474) -- 0:01:54

      Average standard deviation of split frequencies: 0.023922

      961000 -- (-2143.069) (-2157.944) (-2171.341) [-2135.820] * (-2145.136) [-2127.957] (-2170.830) (-2318.827) -- 0:01:51
      962000 -- (-2153.343) (-2145.898) (-2188.799) [-2140.265] * (-2150.231) [-2130.226] (-2170.678) (-2315.348) -- 0:01:48
      963000 -- (-2172.134) [-2150.293] (-2180.672) (-2131.340) * (-2137.850) [-2134.277] (-2158.305) (-2320.407) -- 0:01:45
      964000 -- (-2167.584) [-2141.564] (-2212.596) (-2135.567) * (-2130.256) [-2127.144] (-2170.444) (-2313.820) -- 0:01:43
      965000 -- (-2164.052) [-2145.000] (-2192.018) (-2141.922) * (-2143.664) [-2133.444] (-2182.286) (-2300.835) -- 0:01:40

      Average standard deviation of split frequencies: 0.024074

      966000 -- (-2164.770) (-2144.592) (-2168.981) [-2141.101] * [-2131.434] (-2137.388) (-2151.307) (-2289.367) -- 0:01:37
      967000 -- (-2180.813) [-2141.973] (-2179.699) (-2163.210) * (-2152.715) [-2144.247] (-2153.465) (-2294.454) -- 0:01:34
      968000 -- (-2156.836) [-2134.616] (-2214.348) (-2165.239) * (-2143.436) [-2142.432] (-2154.790) (-2307.161) -- 0:01:31
      969000 -- (-2172.458) [-2132.587] (-2206.894) (-2167.202) * (-2171.731) [-2133.117] (-2157.056) (-2316.717) -- 0:01:28
      970000 -- (-2152.720) [-2129.224] (-2210.278) (-2157.655) * (-2159.200) (-2127.944) [-2154.217] (-2315.614) -- 0:01:25

      Average standard deviation of split frequencies: 0.024417

      971000 -- (-2142.874) [-2130.143] (-2185.545) (-2155.699) * (-2172.566) [-2138.945] (-2152.131) (-2309.246) -- 0:01:22
      972000 -- (-2151.893) (-2142.732) (-2214.401) [-2145.101] * (-2156.878) [-2155.692] (-2153.348) (-2327.534) -- 0:01:20
      973000 -- [-2136.173] (-2155.567) (-2218.133) (-2149.054) * (-2177.048) [-2136.783] (-2141.920) (-2308.746) -- 0:01:17
      974000 -- [-2132.350] (-2168.904) (-2193.882) (-2159.432) * (-2192.911) [-2127.866] (-2157.241) (-2298.366) -- 0:01:14
      975000 -- [-2139.559] (-2160.326) (-2183.072) (-2142.809) * (-2191.010) [-2126.197] (-2163.338) (-2305.535) -- 0:01:11

      Average standard deviation of split frequencies: 0.024150

      976000 -- [-2138.288] (-2156.151) (-2199.800) (-2144.524) * (-2171.751) [-2124.756] (-2164.350) (-2299.921) -- 0:01:08
      977000 -- (-2138.586) [-2148.221] (-2185.765) (-2134.307) * (-2166.819) [-2124.278] (-2156.843) (-2292.040) -- 0:01:05
      978000 -- (-2129.629) (-2141.926) (-2183.921) [-2145.934] * (-2158.637) (-2131.929) [-2143.050] (-2304.967) -- 0:01:02
      979000 -- (-2141.394) (-2138.255) (-2157.846) [-2137.652] * (-2173.605) [-2145.850] (-2156.286) (-2296.551) -- 0:00:59
      980000 -- (-2166.790) (-2134.114) (-2151.738) [-2135.568] * (-2184.142) [-2128.188] (-2162.802) (-2321.827) -- 0:00:57

      Average standard deviation of split frequencies: 0.023835

      981000 -- (-2140.480) (-2178.282) [-2142.893] (-2134.848) * (-2169.823) [-2124.911] (-2157.899) (-2290.522) -- 0:00:54
      982000 -- (-2156.870) (-2147.003) (-2129.996) [-2133.758] * (-2213.652) [-2119.116] (-2149.458) (-2306.629) -- 0:00:51
      983000 -- (-2166.937) (-2137.216) [-2140.172] (-2143.397) * (-2190.256) [-2137.985] (-2148.262) (-2304.662) -- 0:00:48
      984000 -- (-2205.575) [-2139.978] (-2133.428) (-2164.695) * (-2186.961) [-2137.461] (-2159.815) (-2319.593) -- 0:00:45
      985000 -- (-2216.998) (-2136.657) [-2144.477] (-2135.962) * (-2184.362) [-2137.261] (-2170.985) (-2324.567) -- 0:00:42

      Average standard deviation of split frequencies: 0.024184

      986000 -- (-2210.259) [-2134.942] (-2163.305) (-2141.117) * (-2190.337) [-2134.350] (-2147.424) (-2321.797) -- 0:00:39
      987000 -- (-2202.614) (-2143.499) (-2149.719) [-2134.053] * (-2176.450) [-2140.057] (-2133.378) (-2306.978) -- 0:00:37
      988000 -- (-2187.563) (-2147.821) (-2164.134) [-2125.398] * (-2174.630) (-2133.342) [-2148.181] (-2308.798) -- 0:00:34
      989000 -- (-2187.264) (-2144.527) (-2158.875) [-2130.710] * (-2194.429) (-2152.724) [-2136.506] (-2324.501) -- 0:00:31
      990000 -- (-2180.188) (-2145.513) (-2179.031) [-2127.412] * (-2187.691) (-2132.102) [-2140.527] (-2321.203) -- 0:00:28

      Average standard deviation of split frequencies: 0.023924

      991000 -- (-2183.694) [-2141.347] (-2154.682) (-2133.677) * (-2177.151) [-2125.499] (-2130.753) (-2305.041) -- 0:00:25
      992000 -- (-2160.563) (-2151.143) (-2158.202) [-2130.170] * (-2179.178) [-2133.851] (-2142.144) (-2303.932) -- 0:00:22
      993000 -- (-2142.807) (-2167.024) (-2170.794) [-2130.231] * (-2165.813) [-2129.861] (-2138.031) (-2314.399) -- 0:00:19
      994000 -- (-2149.107) (-2177.754) (-2186.105) [-2139.208] * (-2152.546) [-2119.355] (-2146.284) (-2300.028) -- 0:00:17
      995000 -- (-2146.211) (-2188.760) (-2180.174) [-2139.749] * [-2149.281] (-2135.377) (-2176.640) (-2307.596) -- 0:00:14

      Average standard deviation of split frequencies: 0.023915

      996000 -- (-2158.737) (-2191.449) (-2156.152) [-2133.570] * (-2162.772) [-2136.560] (-2161.650) (-2325.311) -- 0:00:11
      997000 -- (-2163.258) (-2192.233) (-2150.375) [-2136.238] * (-2160.518) [-2151.005] (-2144.966) (-2333.694) -- 0:00:08
      998000 -- (-2178.817) (-2205.228) [-2137.487] (-2141.485) * (-2162.381) [-2130.669] (-2138.600) (-2320.370) -- 0:00:05
      999000 -- (-2186.536) (-2176.393) (-2146.237) [-2144.214] * (-2157.683) (-2139.705) [-2125.927] (-2321.186) -- 0:00:02
      1000000 -- (-2208.822) (-2165.444) (-2153.050) [-2138.938] * (-2181.296) (-2151.034) [-2128.486] (-2315.699) -- 0:00:00

      Average standard deviation of split frequencies: 0.023620

      Analysis completed in 47 mins 29 seconds
      Analysis used 2846.09 seconds of CPU time
      Likelihood of best state for "cold" chain of run 1 was -2103.78
      Likelihood of best state for "cold" chain of run 2 was -2107.84

      Acceptance rates for the moves in the "cold" chain of run 1:
         With prob.   (last 100)   chain accepted proposals by move
            50.3 %     ( 46 %)     Dirichlet(Revmat{all})
            65.6 %     ( 47 %)     Slider(Revmat{all})
            26.3 %     ( 37 %)     Dirichlet(Pi{all})
            28.0 %     ( 33 %)     Slider(Pi{all})
            60.5 %     ( 20 %)     Multiplier(Alpha{1,2})
            59.6 %     ( 28 %)     Multiplier(Alpha{3})
            75.3 %     ( 45 %)     Slider(Pinvar{all})
            73.1 %     ( 75 %)     ExtSPR(Tau{all},V{all})
            72.1 %     ( 82 %)     ExtTBR(Tau{all},V{all})
            80.5 %     ( 86 %)     NNI(Tau{all},V{all})
            44.3 %     ( 57 %)     ParsSPR(Tau{all},V{all})
            27.6 %     ( 24 %)     Multiplier(V{all})
            80.0 %     ( 77 %)     Nodeslider(V{all})
            25.6 %     ( 21 %)     TLMultiplier(V{all})

      Acceptance rates for the moves in the "cold" chain of run 2:
         With prob.   (last 100)   chain accepted proposals by move
            50.1 %     ( 43 %)     Dirichlet(Revmat{all})
            66.0 %     ( 59 %)     Slider(Revmat{all})
            26.2 %     ( 28 %)     Dirichlet(Pi{all})
            28.0 %     ( 26 %)     Slider(Pi{all})
            61.3 %     ( 34 %)     Multiplier(Alpha{1,2})
            59.2 %     ( 34 %)     Multiplier(Alpha{3})
            74.8 %     ( 54 %)     Slider(Pinvar{all})
            73.3 %     ( 80 %)     ExtSPR(Tau{all},V{all})
            72.4 %     ( 80 %)     ExtTBR(Tau{all},V{all})
            80.6 %     ( 86 %)     NNI(Tau{all},V{all})
            44.6 %     ( 42 %)     ParsSPR(Tau{all},V{all})
            27.5 %     ( 22 %)     Multiplier(V{all})
            79.8 %     ( 77 %)     Nodeslider(V{all})
            25.6 %     ( 20 %)     TLMultiplier(V{all})

      Chain swap information for run 1:

                   1       2       3       4 
           ----------------------------------
         1 |            0.13    0.00    0.00 
         2 |  166445            0.15    0.00 
         3 |  166354  166692            0.13 
         4 |  166223  166999  167287         

      Chain swap information for run 2:

                   1       2       3       4 
           ----------------------------------
         1 |            0.13    0.00    0.00 
         2 |  166543            0.14    0.00 
         3 |  166766  166601            0.00 
         4 |  166463  166490  167137         

      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)

      +------------------------------------------------------------+ -2123.98
      |        1                                                   |
      |       1                                            1       |
      |     11                                     2               |
      |  1        2        2                         *      11 2   |
      |   1       1     *       1               1                  |
      |               *2     2   22 1    2        1 2 * 2   2 1  22|
      | 1  2     1   1    1     2 11 1  2     1        *   2       |
      |1 2 1  2 2  1*       2  2      211    * 122  1         212  |
      |22      212   2    2  12      2 2         1       21  2  111|
      |     22         1              1     1  2  2       2        |
      |   2              2  1    1 2     11   2    1    1          |
      |            2     1    1           2                        |
      |                        1           12            1         |
      |                             2                              |
      |                    1               2                       |
      +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2147.91
      ^                                                            ^
      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      -2116.67         -2163.95
        2      -2118.90         -2174.03
      --------------------------------------
      TOTAL    -2117.26         -2173.33
      --------------------------------------


      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}         0.183462    0.000389    0.143833    0.220748    0.182206   1163.06   1267.08    1.001
      r(A<->C){all}   0.110204    0.001109    0.043392    0.171005    0.108183    354.89    388.38    1.001
      r(A<->G){all}   0.246605    0.001989    0.166582    0.337070    0.243894    253.86    301.22    1.000
      r(A<->T){all}   0.045626    0.000233    0.017113    0.075440    0.043929    595.60    617.03    1.000
      r(C<->G){all}   0.020197    0.000210    0.000284    0.048081    0.016831    523.87    556.08    1.001
      r(C<->T){all}   0.523927    0.002404    0.428251    0.617296    0.524715    245.51    322.60    1.000
      r(G<->T){all}   0.053440    0.000269    0.022645    0.085520    0.052112    768.15    788.42    1.001
      pi(A){all}      0.199937    0.000177    0.175628    0.227185    0.199565    832.31    840.31    1.000
      pi(C){all}      0.169536    0.000142    0.146677    0.193069    0.169417    717.97    724.16    1.000
      pi(G){all}      0.214993    0.000185    0.190674    0.242989    0.214665    828.76    939.27    1.000
      pi(T){all}      0.415534    0.000269    0.380532    0.445067    0.415751    943.66    978.91    1.000
      alpha{1,2}      0.407268    0.100294    0.000272    0.986731    0.324815    845.50    898.09    1.003
      alpha{3}        1.731100    1.065861    0.301086    3.797862    1.471244    775.01    838.33    1.001
      pinvar{all}     0.304164    0.019745    0.014211    0.534851    0.309141    652.17    671.70    1.001
      ------------------------------------------------------------------------------------------------------
      * 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 -- C14
      2 -- C65
      3 -- C598
      4 -- C287
      5 -- C189
      6 -- C195
      7 -- C325
      8 -- C71
      9 -- C589
     10 -- C203
     11 -- C207
     12 -- C599
     13 -- C331
     14 -- C565
     15 -- C381
     16 -- C224
     17 -- C211
     18 -- C338
     19 -- C81
     20 -- C68
     21 -- C63
     22 -- C504
     23 -- C543
     24 -- C223
     25 -- C344
     26 -- C87
     27 -- C206
     28 -- C123
     29 -- C528
     30 -- C235
     31 -- C350
     32 -- C93
     33 -- C31
     34 -- C571
     35 -- C183
     36 -- C552
     37 -- C247
     38 -- C356
     39 -- C99
     40 -- C482
     41 -- C243
     42 -- C576
     43 -- C259
     44 -- C362
     45 -- C60
     46 -- C105
     47 -- C620
     48 -- C303
     49 -- C600
     50 -- C271
     51 -- C368
     52 -- C111
     53 -- C159
     54 -- C619
     55 -- C624
     56 -- C369
     57 -- C283
     58 -- C374
     59 -- C117
     60 -- C52
     61 -- C32
     62 -- C313
     63 -- C551
     64 -- C380
     65 -- C34
     66 -- C27
     67 -- C641
     68 -- C141
     69 -- C417
     70 -- C347
     71 -- C4
     72 -- C385
     73 -- C129
     74 -- C291
     75 -- C483
     76 -- C377
     77 -- C583
     78 -- C559
     79 -- C391
     80 -- C135
     81 -- C441
     82 -- C549
     83 -- C407
     84 -- C595
     85 -- C397
     86 -- C70
     87 -- C591
     88 -- C615
     89 -- C575
     90 -- C437

   Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):

    ID -- Partition
   --------------------------------------------------------------------------------
     1 -- .**********************************************************************
     2 -- .*.....................................................................
     3 -- ..*....................................................................
     4 -- ...*...................................................................
     5 -- ....*..................................................................
     6 -- .....*.................................................................
     7 -- ......*................................................................
     8 -- .......*...............................................................
     9 -- ........*..............................................................
    10 -- .........*.............................................................
    11 -- ..........*............................................................
    12 -- ...........*...........................................................
    13 -- ............*..........................................................
    14 -- .............*.........................................................
    15 -- ..............*........................................................
    16 -- ...............*.......................................................
    17 -- ................*......................................................
    18 -- .................*.....................................................
    19 -- ..................*....................................................
    20 -- ...................*...................................................
    21 -- ....................*..................................................
    22 -- .....................*.................................................
    23 -- ......................*................................................
    24 -- .......................*...............................................
    25 -- ........................*..............................................
    26 -- .........................*.............................................
    27 -- ..........................*............................................
    28 -- ...........................*...........................................
    29 -- ............................*..........................................
    30 -- .............................*.........................................
    31 -- ..............................*........................................
    32 -- ...............................*.......................................
    33 -- ................................*......................................
    34 -- .................................*.....................................
    35 -- ..................................*....................................
    36 -- ...................................*...................................
    37 -- ....................................*..................................
    38 -- .....................................*.................................
    39 -- ......................................*................................
    40 -- .......................................*...............................
    41 -- ........................................*..............................
    42 -- .........................................*.............................
    43 -- ..........................................*............................
    44 -- ...........................................*...........................
    45 -- ............................................*..........................
    46 -- .............................................*.........................
    47 -- ..............................................*........................
    48 -- ...............................................*.......................
    49 -- ................................................*......................
    50 -- .................................................*.....................
    51 -- ..................................................*....................
    52 -- ...................................................*...................
    53 -- ....................................................*..................
    54 -- .....................................................*.................
    55 -- ......................................................*................
    56 -- .......................................................*...............
    57 -- ........................................................*..............
    58 -- .........................................................*.............
    59 -- ..........................................................*............
    60 -- ...........................................................*...........
    61 -- ............................................................*..........
    62 -- .............................................................*.........
    63 -- ..............................................................*........
    64 -- ...............................................................*.......
    65 -- ................................................................*......
    66 -- .................................................................*.....
    67 -- ..................................................................*....
    68 -- ...................................................................*...
    69 -- ....................................................................*..
    70 -- .....................................................................*.
    71 -- ......................................................................*
    72 -- .......................................................................
    73 -- .......................................................................
    74 -- .......................................................................
    75 -- .......................................................................
    76 -- .......................................................................
    77 -- .......................................................................
    78 -- .......................................................................
    79 -- .......................................................................
    80 -- .......................................................................
    81 -- .......................................................................
    82 -- .......................................................................
    83 -- .......................................................................
    84 -- .......................................................................
    85 -- .......................................................................
    86 -- .......................................................................
    87 -- .......................................................................
    88 -- .......................................................................
    89 -- .......................................................................
    90 -- .......................................................................
    91 -- ..........*...................*..................................*....*
    92 -- ...................................*...........*.......................
    93 -- .**************************.************************.*****.************
    94 -- .**************************.******************************.************
    95 -- ..............................*..................................*....*
    96 -- .......*...............................................................
    97 -- .*********.***************..**.*********************.*****.******.****.
    98 -- .*********************************************************.************
    99 -- ..............................*..................................*.....
   100 -- ......*.....*..........................................................
   101 -- ...........*....................................*......................
   102 -- ................................*..................................*...
   103 -- ..*....................................................................
   104 -- ......*.....*....*......*.........**.*.....*...*..*....*.*...*..*....*.
   105 -- ...................................................*..............*....
   106 -- ......*.....*....*......*.........**.*.....*...*..*....*.*...*.......*.
   107 -- .*********.***************..**.********************..*****.******..***.
   108 -- .*********.***************..**.********************..*****.******.****.
   109 -- ..........*...............*...*..................................*....*
   110 -- .*************************..************************.*****.************
   111 -- .*********.****************.**.*********************.*****.******.****.
   112 -- ......*.....*..........................................................
   113 -- .*****.***.*.****.******.*..**.***..*.*****.***.**...**.*..**.**...**..
   114 -- ............*..........................................................
   115 -- ......*................................................................
   116 -- .*********.***************..**.********************..*****.******..***.
   117 -- ..*****.**.***.****..*****..**.*.***********.******..*****...**.*...**.
   118 -- ..****..**.*.*.**.*..***.*..**.*.*..*.*****..**.**...**.*.....*.....*..
   119 -- .............................*......*..................................
   120 -- ...................................................*..............*....
   121 -- ..*****.**.***.****..*****..**.*.***********.******..*****...**.....**.
   122 -- .*****.***.*.****.******.*..**.***..*.*****.***.**.*.**.*..**.**..***..
   123 -- .*****.***.*.*************..**.*********************.*****.******.****.
   124 -- .*********.***************..**.********************..*****.*****...***.
   125 -- .*********.***************..**.*********************.*****.******.****.
   126 -- .*****.***.*.****.******.*..**.***..*.*****.***.**.*.**.*..**.***.***..
   --------------------------------------------------------------------------------

    ID -- Partition (continued)
   --------------------------------------------------------------------------------
     1 -- *******************
     2 -- ...................
     3 -- ...................
     4 -- ...................
     5 -- ...................
     6 -- ...................
     7 -- ...................
     8 -- ...................
     9 -- ...................
    10 -- ...................
    11 -- ...................
    12 -- ...................
    13 -- ...................
    14 -- ...................
    15 -- ...................
    16 -- ...................
    17 -- ...................
    18 -- ...................
    19 -- ...................
    20 -- ...................
    21 -- ...................
    22 -- ...................
    23 -- ...................
    24 -- ...................
    25 -- ...................
    26 -- ...................
    27 -- ...................
    28 -- ...................
    29 -- ...................
    30 -- ...................
    31 -- ...................
    32 -- ...................
    33 -- ...................
    34 -- ...................
    35 -- ...................
    36 -- ...................
    37 -- ...................
    38 -- ...................
    39 -- ...................
    40 -- ...................
    41 -- ...................
    42 -- ...................
    43 -- ...................
    44 -- ...................
    45 -- ...................
    46 -- ...................
    47 -- ...................
    48 -- ...................
    49 -- ...................
    50 -- ...................
    51 -- ...................
    52 -- ...................
    53 -- ...................
    54 -- ...................
    55 -- ...................
    56 -- ...................
    57 -- ...................
    58 -- ...................
    59 -- ...................
    60 -- ...................
    61 -- ...................
    62 -- ...................
    63 -- ...................
    64 -- ...................
    65 -- ...................
    66 -- ...................
    67 -- ...................
    68 -- ...................
    69 -- ...................
    70 -- ...................
    71 -- ...................
    72 -- *..................
    73 -- .*.................
    74 -- ..*................
    75 -- ...*...............
    76 -- ....*..............
    77 -- .....*.............
    78 -- ......*............
    79 -- .......*...........
    80 -- ........*..........
    81 -- .........*.........
    82 -- ..........*........
    83 -- ...........*.......
    84 -- ............*......
    85 -- .............*.....
    86 -- ..............*....
    87 -- ...............*...
    88 -- ................*..
    89 -- .................*.
    90 -- ..................*
    91 -- ...................
    92 -- ...................
    93 -- *******************
    94 -- *******************
    95 -- ...................
    96 -- ..............*....
    97 -- *******************
    98 -- *******************
    99 -- ...................
   100 -- ....*..............
   101 -- ...................
   102 -- ...................
   103 -- ...............*...
   104 -- ....*..............
   105 -- ...................
   106 -- ....*..............
   107 -- ********.**********
   108 -- *******************
   109 -- ...................
   110 -- *******************
   111 -- *******************
   112 -- ...................
   113 -- ****.***.**********
   114 -- ....*..............
   115 -- ....*..............
   116 -- *******************
   117 -- *.******.*****.***.
   118 -- *.**.***.*****.***.
   119 -- ...................
   120 -- ........*..........
   121 -- *.******.*****.***.
   122 -- ****.**************
   123 -- ****.**************
   124 -- ********.**********
   125 -- ********.**********
   126 -- ****.**************
   --------------------------------------------------------------------------------

   Summary statistics for informative taxon bipartitions
      (saved to file "/data/mrbayes_input.nex.tstat"):

    ID   #obs    Probab.     Sd(s)+      Min(s)      Max(s)   Nruns 
   -----------------------------------------------------------------
    91  3002    1.000000    0.000000    1.000000    1.000000    2
    92  3002    1.000000    0.000000    1.000000    1.000000    2
    93  3002    1.000000    0.000000    1.000000    1.000000    2
    94  3002    1.000000    0.000000    1.000000    1.000000    2
    95  3002    1.000000    0.000000    1.000000    1.000000    2
    96  3001    0.999667    0.000471    0.999334    1.000000    2
    97  2994    0.997335    0.000942    0.996669    0.998001    2
    98  2826    0.941372    0.010364    0.934044    0.948701    2
    99  2718    0.905396    0.005653    0.901399    0.909394    2
   100  2688    0.895403    0.074432    0.842771    0.948035    2
   101  2466    0.821452    0.023555    0.804797    0.838108    2
   102  2449    0.815789    0.011777    0.807462    0.824117    2
   103  2421    0.806462    0.000471    0.806129    0.806795    2
   104  1924    0.640906    0.046167    0.608261    0.673551    2
   105  1713    0.570620    0.045696    0.538308    0.602931    2
   106  1322    0.440373    0.037687    0.413724    0.467022    2
   107  1276    0.425050    0.061242    0.381746    0.468354    2
   108  1117    0.372085    0.030621    0.350433    0.393738    2
   109  1021    0.340107    0.016488    0.328448    0.351765    2
   110  1009    0.336109    0.018373    0.323118    0.349101    2
   111   969    0.322785    0.033447    0.299134    0.346436    2
   112   968    0.322452    0.006595    0.317788    0.327115    2
   113   960    0.319787    0.019786    0.305796    0.333777    2
   114   946    0.315123    0.023555    0.298468    0.331779    2
   115   939    0.312791    0.001413    0.311792    0.313791    2
   116   841    0.280147    0.025910    0.261825    0.298468    2
   117   819    0.272818    0.011777    0.264490    0.281146    2
   118   793    0.264157    0.030621    0.242505    0.285809    2
   119   582    0.193871    0.020728    0.179214    0.208528    2
   120   510    0.169887    0.018844    0.156562    0.183211    2
   121   428    0.142572    0.016017    0.131246    0.153897    2
   122   416    0.138574    0.071606    0.087941    0.189207    2
   123   413    0.137575    0.098458    0.067955    0.207195    2
   124   381    0.126915    0.034390    0.102598    0.151233    2
   125   302    0.100600    0.009422    0.093937    0.107262    2
   126   247    0.082278    0.043811    0.051299    0.113258    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]      0.000584    0.000000    0.000000    0.001750    0.000395    1.003    2
   length{all}[2]      0.000592    0.000000    0.000000    0.001822    0.000407    1.000    2
   length{all}[3]      0.000696    0.000000    0.000000    0.001991    0.000500    1.000    2
   length{all}[4]      0.001116    0.000001    0.000035    0.002664    0.000932    1.000    2
   length{all}[5]      0.000576    0.000000    0.000001    0.001790    0.000396    1.000    2
   length{all}[6]      0.001137    0.000001    0.000054    0.002753    0.000946    1.000    2
   length{all}[7]      0.001697    0.000001    0.000188    0.003717    0.001478    1.000    2
   length{all}[8]      0.000560    0.000000    0.000000    0.001670    0.000385    1.000    2
   length{all}[9]      0.000566    0.000000    0.000000    0.001690    0.000393    1.003    2
   length{all}[10]     0.000578    0.000000    0.000001    0.001690    0.000385    1.001    2
   length{all}[11]     0.005573    0.000003    0.002307    0.009093    0.005426    1.002    2
   length{all}[12]     0.000665    0.000000    0.000000    0.001933    0.000481    1.000    2
   length{all}[13]     0.000586    0.000000    0.000000    0.001765    0.000411    1.000    2
   length{all}[14]     0.000552    0.000000    0.000000    0.001714    0.000378    1.000    2
   length{all}[15]     0.005673    0.000004    0.002603    0.009608    0.005430    1.002    2
   length{all}[16]     0.000572    0.000000    0.000000    0.001674    0.000394    1.000    2
   length{all}[17]     0.001148    0.000001    0.000030    0.002764    0.000928    1.001    2
   length{all}[18]     0.000555    0.000000    0.000000    0.001612    0.000388    1.000    2
   length{all}[19]     0.000556    0.000000    0.000000    0.001739    0.000357    1.000    2
   length{all}[20]     0.001157    0.000001    0.000012    0.002722    0.000968    1.001    2
   length{all}[21]     0.000568    0.000000    0.000000    0.001798    0.000394    1.005    2
   length{all}[22]     0.000565    0.000000    0.000000    0.001761    0.000378    1.001    2
   length{all}[23]     0.000538    0.000000    0.000001    0.001651    0.000366    1.000    2
   length{all}[24]     0.000589    0.000000    0.000000    0.001736    0.000414    1.000    2
   length{all}[25]     0.000565    0.000000    0.000000    0.001647    0.000408    1.001    2
   length{all}[26]     0.000561    0.000000    0.000000    0.001723    0.000377    1.000    2
   length{all}[27]     0.006394    0.000004    0.002945    0.010695    0.006087    1.003    2
   length{all}[28]     0.000770    0.000001    0.000001    0.002330    0.000532    1.000    2
   length{all}[29]     0.000560    0.000000    0.000000    0.001624    0.000409    1.000    2
   length{all}[30]     0.002759    0.000002    0.000656    0.005430    0.002551    1.000    2
   length{all}[31]     0.000588    0.000000    0.000001    0.001705    0.000401    1.000    2
   length{all}[32]     0.000572    0.000000    0.000001    0.001665    0.000412    1.000    2
   length{all}[33]     0.000678    0.000000    0.000000    0.001975    0.000470    1.001    2
   length{all}[34]     0.000569    0.000000    0.000000    0.001674    0.000402    1.001    2
   length{all}[35]     0.001149    0.000001    0.000035    0.002659    0.000965    1.001    2
   length{all}[36]     0.000546    0.000000    0.000000    0.001677    0.000392    1.000    2
   length{all}[37]     0.004432    0.000003    0.001490    0.007776    0.004174    1.002    2
   length{all}[38]     0.000572    0.000000    0.000000    0.001780    0.000392    1.000    2
   length{all}[39]     0.000551    0.000000    0.000000    0.001694    0.000370    1.002    2
   length{all}[40]     0.000564    0.000000    0.000000    0.001625    0.000384    1.000    2
   length{all}[41]     0.002305    0.000001    0.000322    0.004467    0.002124    1.000    2
   length{all}[42]     0.000575    0.000000    0.000000    0.001710    0.000380    1.002    2
   length{all}[43]     0.000569    0.000000    0.000000    0.001733    0.000401    1.000    2
   length{all}[44]     0.000586    0.000000    0.000000    0.001718    0.000411    1.000    2
   length{all}[45]     0.000571    0.000000    0.000000    0.001796    0.000375    1.000    2
   length{all}[46]     0.000576    0.000000    0.000000    0.001775    0.000401    1.000    2
   length{all}[47]     0.000563    0.000000    0.000000    0.001685    0.000393    1.000    2
   length{all}[48]     0.000562    0.000000    0.000000    0.001713    0.000387    1.002    2
   length{all}[49]     0.000690    0.000000    0.000001    0.002098    0.000460    1.000    2
   length{all}[50]     0.000552    0.000000    0.000001    0.001647    0.000373    1.001    2
   length{all}[51]     0.000548    0.000000    0.000000    0.001705    0.000357    1.000    2
   length{all}[52]     0.002796    0.000002    0.000653    0.005472    0.002558    1.000    2
   length{all}[53]     0.010377    0.000007    0.005471    0.015704    0.010145    1.000    2
   length{all}[54]     0.001152    0.000001    0.000009    0.002842    0.000956    1.000    2
   length{all}[55]     0.000587    0.000000    0.000000    0.001771    0.000395    1.001    2
   length{all}[56]     0.000580    0.000000    0.000000    0.001659    0.000407    1.000    2
   length{all}[57]     0.000548    0.000000    0.000000    0.001714    0.000352    1.004    2
   length{all}[58]     0.000590    0.000000    0.000000    0.001763    0.000425    1.002    2
   length{all}[59]     0.001094    0.000001    0.000010    0.002561    0.000938    1.001    2
   length{all}[60]     0.002818    0.000002    0.000523    0.005298    0.002579    1.003    2
   length{all}[61]     0.001203    0.000001    0.000038    0.003008    0.000999    1.000    2
   length{all}[62]     0.000545    0.000000    0.000001    0.001594    0.000383    1.001    2
   length{all}[63]     0.000573    0.000000    0.000000    0.001624    0.000413    1.001    2
   length{all}[64]     0.000569    0.000000    0.000000    0.001774    0.000389    1.000    2
   length{all}[65]     0.003205    0.000002    0.000945    0.006004    0.002943    1.001    2
   length{all}[66]     0.000558    0.000000    0.000000    0.001710    0.000365    1.001    2
   length{all}[67]     0.000810    0.000001    0.000001    0.002291    0.000597    1.003    2
   length{all}[68]     0.001242    0.000001    0.000038    0.003023    0.001023    1.001    2
   length{all}[69]     0.000554    0.000000    0.000000    0.001681    0.000390    1.000    2
   length{all}[70]     0.000572    0.000000    0.000000    0.001727    0.000386    1.000    2
   length{all}[71]     0.001191    0.000001    0.000025    0.002649    0.001024    1.002    2
   length{all}[72]     0.002317    0.000001    0.000371    0.004663    0.002123    1.004    2
   length{all}[73]     0.000551    0.000000    0.000000    0.001635    0.000400    1.000    2
   length{all}[74]     0.000575    0.000000    0.000000    0.001762    0.000394    1.000    2
   length{all}[75]     0.000557    0.000000    0.000000    0.001758    0.000362    1.006    2
   length{all}[76]     0.000600    0.000000    0.000000    0.001715    0.000403    1.000    2
   length{all}[77]     0.001106    0.000001    0.000039    0.002627    0.000922    1.000    2
   length{all}[78]     0.000568    0.000000    0.000000    0.001647    0.000389    1.000    2
   length{all}[79]     0.001672    0.000001    0.000229    0.003594    0.001507    1.000    2
   length{all}[80]     0.001677    0.000001    0.000198    0.003591    0.001492    1.002    2
   length{all}[81]     0.000566    0.000000    0.000000    0.001642    0.000391    1.000    2
   length{all}[82]     0.000570    0.000000    0.000000    0.001704    0.000387    1.000    2
   length{all}[83]     0.001140    0.000001    0.000019    0.002731    0.000951    1.000    2
   length{all}[84]     0.001108    0.000001    0.000021    0.002658    0.000925    1.001    2
   length{all}[85]     0.000605    0.000000    0.000000    0.001839    0.000409    1.002    2
   length{all}[86]     0.000584    0.000000    0.000000    0.001753    0.000401    1.000    2
   length{all}[87]     0.000690    0.000000    0.000000    0.002090    0.000478    1.003    2
   length{all}[88]     0.000587    0.000000    0.000001    0.001793    0.000419    1.000    2
   length{all}[89]     0.000565    0.000000    0.000001    0.001633    0.000400    1.001    2
   length{all}[90]     0.001692    0.000001    0.000200    0.003700    0.001517    1.000    2
   length{all}[91]     0.002822    0.000002    0.000514    0.005400    0.002591    1.007    2
   length{all}[92]     0.002334    0.000002    0.000448    0.004844    0.002095    1.003    2
   length{all}[93]     0.002494    0.000002    0.000532    0.005076    0.002272    1.000    2
   length{all}[94]     0.003453    0.000002    0.000864    0.006124    0.003289    1.000    2
   length{all}[95]     0.008370    0.000005    0.004282    0.012890    0.008149    1.000    2
   length{all}[96]     0.001716    0.000001    0.000125    0.003635    0.001505    1.002    2
   length{all}[97]     0.002681    0.000002    0.000527    0.005311    0.002487    1.000    2
   length{all}[98]     0.001616    0.000001    0.000067    0.003749    0.001392    1.000    2
   length{all}[99]     0.001121    0.000001    0.000020    0.002705    0.000940    1.000    2
   length{all}[100]    0.001739    0.000001    0.000170    0.003735    0.001573    1.000    2
   length{all}[101]    0.001120    0.000001    0.000028    0.002781    0.000941    1.001    2
   length{all}[102]    0.001150    0.000001    0.000008    0.002746    0.000970    1.002    2
   length{all}[103]    0.001154    0.000001    0.000040    0.002677    0.000967    1.000    2
   length{all}[104]    0.001508    0.000001    0.000021    0.003431    0.001300    1.000    2
   length{all}[105]    0.001136    0.000001    0.000035    0.002799    0.000924    0.999    2
   length{all}[106]    0.001436    0.000001    0.000004    0.003266    0.001223    1.007    2
   length{all}[107]    0.001059    0.000001    0.000003    0.002654    0.000861    1.013    2
   length{all}[108]    0.001197    0.000001    0.000081    0.002874    0.000973    0.999    2
   length{all}[109]    0.000649    0.000000    0.000002    0.001922    0.000470    0.999    2
   length{all}[110]    0.000640    0.000000    0.000001    0.001833    0.000462    1.002    2
   length{all}[111]    0.000585    0.000000    0.000001    0.001714    0.000405    0.999    2
   length{all}[112]    0.000579    0.000000    0.000000    0.001623    0.000430    1.001    2
   length{all}[113]    0.001159    0.000001    0.000083    0.002746    0.001032    1.001    2
   length{all}[114]    0.000551    0.000000    0.000001    0.001655    0.000391    0.999    2
   length{all}[115]    0.000587    0.000000    0.000001    0.001660    0.000429    1.001    2
   length{all}[116]    0.000744    0.000001    0.000001    0.002253    0.000513    0.999    2
   length{all}[117]    0.001114    0.000001    0.000015    0.002558    0.000975    1.008    2
   length{all}[118]    0.001145    0.000001    0.000007    0.002721    0.000956    0.999    2
   length{all}[119]    0.001134    0.000001    0.000010    0.002868    0.000906    0.999    2
   length{all}[120]    0.000764    0.000001    0.000002    0.002111    0.000537    1.026    2
   length{all}[121]    0.001090    0.000001    0.000051    0.002727    0.000867    1.006    2
   length{all}[122]    0.001172    0.000001    0.000002    0.002868    0.000956    1.041    2
   length{all}[123]    0.001734    0.000001    0.000159    0.003761    0.001591    0.998    2
   length{all}[124]    0.001156    0.000001    0.000028    0.003038    0.000994    1.012    2
   length{all}[125]    0.000604    0.000000    0.000002    0.001704    0.000402    0.997    2
   length{all}[126]    0.001270    0.000001    0.000029    0.003003    0.000957    0.997    2
   --------------------------------------------------------------------------------------------
   + Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
     and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
     deviation of parameter values within all runs is 0 or when a parameter
     value (a branch length, for instance) is not sampled in all runs.


   Summary statistics for partitions with frequency >= 0.10 in at least one run:
       Average standard deviation of split frequencies = 0.023620
       Maximum standard deviation of split frequencies = 0.098458
       Average PSRF for parameter values (excluding NA and >10.0) = 1.001
       Maximum PSRF for parameter values = 1.041


   Clade credibility values:

   /--------------------------------------------------------------------- C14 (1)
   |                                                                               
   |--------------------------------------------------------------------- C117 (59)
   |                                                                               
   |                                      /------------------------------ C65 (2)
   |                                      |                                        
   |                                      |                   /---------- C598 (3)
   |                                      |---------81--------+                    
   |                                      |                   \---------- C591 (87)
   |                                      |                                        
   |                                      |------------------------------ C287 (4)
   |                                      |                                        
   |                                      |------------------------------ C189 (5)
   |                                      |                                        
   |                                      |------------------------------ C195 (6)
   |                                      |                                        
   |                                      |                   /---------- C325 (7)
   |                                      |                   |                    
   |                                      |         /----90---+---------- C331 (13)
   |                                      |         |         |                    
   |                                      |         |         \---------- C377 (76)
   |                                      |         |                              
   |                                      |         |-------------------- C338 (18)
   |                                      |         |                              
   |                                      |         |-------------------- C344 (25)
   |                                      |         |                              
   |                                      |         |-------------------- C183 (35)
   |                                      |         |                              
   |                                      |         |         /---------- C552 (36)
   |                                      |         |---100---+                    
   |                                      |         |         \---------- C303 (48)
   |                                      |         |                              
   |                                      |----64---+-------------------- C356 (38)
   |                                      |         |                              
   |                                      |         |-------------------- C362 (44)
   |                                      |         |                              
   |                                      |         |-------------------- C368 (51)
   |                                      |         |                              
   |                                      |         |-------------------- C369 (56)
   |                                      |         |                              
   |                                      |         |-------------------- C374 (58)
   |                                      |         |                              
   |                                      |         |-------------------- C313 (62)
   |                                      |         |                              
   |                                      |         |-------------------- C34 (65)
   |                                      |         |                              
   |                                      |         \-------------------- C347 (70)
   |                                      |                                        
   |                                      |                   /---------- C71 (8)
   |                                      |--------100--------+                    
   |                                      |                   \---------- C70 (86)
   |                                      |                                        
   |                                      |------------------------------ C589 (9)
   |                                      |                                        
   |                                      |------------------------------ C203 (10)
   |                                      |                                        
   |                                      |                   /---------- C599 (12)
   |                                      |---------82--------+                    
   |                                      |                   \---------- C600 (49)
   |                                      |                                        
   |                                      |------------------------------ C565 (14)
   |                                      |                                        
   |                                      |------------------------------ C381 (15)
   |                                      |                                        
   |                                      |------------------------------ C224 (16)
   |                                      |                                        
   |                                      |------------------------------ C211 (17)
   |                                      |                                        
   |                                      |------------------------------ C81 (19)
   |                                      |                                        
   |                                      |------------------------------ C68 (20)
   |                                      |                                        
   |                                      |------------------------------ C63 (21)
   |                                      |                                        
   |                                      |------------------------------ C504 (22)
   |                                      |                                        
   |                                      |------------------------------ C543 (23)
   |                                      |                                        
   |                                      |------------------------------ C223 (24)
   |                                      |                                        
   |                                      |------------------------------ C87 (26)
   |                                      |                                        
   |                                      |------------------------------ C528 (29)
   +                                      |                                        
   |                             /---100--+------------------------------ C235 (30)
   |                             |        |                                        
   |                             |        |------------------------------ C93 (32)
   |                             |        |                                        
   |                             |        |                   /---------- C31 (33)
   |                             |        |---------82--------+                    
   |                             |        |                   \---------- C141 (68)
   |                             |        |                                        
   |                             |        |------------------------------ C571 (34)
   |                             |        |                                        
   |                             |        |------------------------------ C247 (37)
   |                             |        |                                        
   |                             |        |------------------------------ C99 (39)
   |                             |        |                                        
   |                             |        |------------------------------ C482 (40)
   |                             |        |                                        
   |                             |        |------------------------------ C243 (41)
   |                             |        |                                        
   |                             |        |------------------------------ C576 (42)
   |                             |        |                                        
   |                             |        |------------------------------ C259 (43)
   |                             |        |                                        
   |                             |        |------------------------------ C60 (45)
   |                             |        |                                        
   |                             |        |------------------------------ C105 (46)
   |                             |        |                                        
   |                             |        |------------------------------ C620 (47)
   |                             |        |                                        
   |                             |        |------------------------------ C271 (50)
   |                             |        |                                        
   |                             |        |                   /---------- C111 (52)
   |                             |        |---------57--------+                    
   |                             |        |                   \---------- C641 (67)
   |                             |        |                                        
   |                             |        |------------------------------ C619 (54)
   |                             |        |                                        
   |                             |        |------------------------------ C624 (55)
   |                             |        |                                        
   |                             |        |------------------------------ C283 (57)
   |                             |        |                                        
   |                             |        |------------------------------ C52 (60)
   |                             |        |                                        
   |                             |        |------------------------------ C32 (61)
   |                             |        |                                        
   |                             |        |------------------------------ C551 (63)
   |                   /---100---+        |                                        
   |                   |         |        |------------------------------ C380 (64)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C417 (69)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C385 (72)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C129 (73)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C291 (74)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C483 (75)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C583 (77)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C559 (78)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C391 (79)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C135 (80)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C441 (81)
   |                   |         |        |                                        
   |                   |         |        |------------------------------ C549 (82)
   |         /---100---+         |        |                                        
   |         |         |         |        |------------------------------ C407 (83)
   |         |         |         |        |                                        
   |         |         |         |        |------------------------------ C595 (84)
   |         |         |         |        |                                        
   |         |         |         |        |------------------------------ C397 (85)
   |         |         |         |        |                                        
   |         |         |         |        |------------------------------ C615 (88)
   |         |         |         |        |                                        
   |         |         |         |        |------------------------------ C575 (89)
   |         |         |         |        |                                        
   |         |         |         |        \------------------------------ C437 (90)
   |         |         |         |                                                 
   \----94---+         |         |        /------------------------------ C207 (11)
             |         |         |        |                                        
             |         |         |        |                   /---------- C350 (31)
             |         |         |---100--+         /----91---+                    
             |         |         |        |         |         \---------- C27 (66)
             |         |         |        \---100---+                              
             |         |         |                  \-------------------- C4 (71)
             |         |         |                                                 
             |         |         \--------------------------------------- C206 (27)
             |         |                                                           
             |         \------------------------------------------------- C159 (53)
             |                                                                     
             \----------------------------------------------------------- C123 (28)
                                                                                   

   Phylogram (based on average branch lengths):

   /- C14 (1)
   |                                                                               
   |--- C117 (59)
   |                                                                               
   |                                 /-- C65 (2)
   |                                 |                                             
   |                                 |   /-- C598 (3)
   |                                 |---+                                         
   |                                 |   \- C591 (87)
   |                                 |                                             
   |                                 |---- C287 (4)
   |                                 |                                             
   |                                 |-- C189 (5)
   |                                 |                                             
   |                                 |---- C195 (6)
   |                                 |                                             
   |                                 |          /----- C325 (7)
   |                                 |          |                                  
   |                                 |    /-----+- C331 (13)
   |                                 |    |     |                                  
   |                                 |    |     \- C377 (76)
   |                                 |    |                                        
   |                                 |    |- C338 (18)
   |                                 |    |                                        
   |                                 |    |- C344 (25)
   |                                 |    |                                        
   |                                 |    |--- C183 (35)
   |                                 |    |                                        
   |                                 |    |       /- C552 (36)
   |                                 |    |-------+                                
   |                                 |    |       \- C303 (48)
   |                                 |    |                                        
   |                                 |----+- C356 (38)
   |                                 |    |                                        
   |                                 |    |- C362 (44)
   |                                 |    |                                        
   |                                 |    |- C368 (51)
   |                                 |    |                                        
   |                                 |    |- C369 (56)
   |                                 |    |                                        
   |                                 |    |- C374 (58)
   |                                 |    |                                        
   |                                 |    |- C313 (62)
   |                                 |    |                                        
   |                                 |    |----------- C34 (65)
   |                                 |    |                                        
   |                                 |    \- C347 (70)
   |                                 |                                             
   |                                 |     /- C71 (8)
   |                                 |-----+                                       
   |                                 |     \- C70 (86)
   |                                 |                                             
   |                                 |-- C589 (9)
   |                                 |                                             
   |                                 |-- C203 (10)
   |                                 |                                             
   |                                 |   /- C599 (12)
   |                                 |---+                                         
   |                                 |   \- C600 (49)
   |                                 |                                             
   |                                 |-- C565 (14)
   |                                 |                                             
   |                                 |-------------------- C381 (15)
   |                                 |                                             
   |                                 |-- C224 (16)
   |                                 |                                             
   |                                 |---- C211 (17)
   |                                 |                                             
   |                                 |-- C81 (19)
   |                                 |                                             
   |                                 |---- C68 (20)
   |                                 |                                             
   |                                 |-- C63 (21)
   |                                 |                                             
   |                                 |-- C504 (22)
   |                                 |                                             
   |                                 |-- C543 (23)
   |                                 |                                             
   |                                 |-- C223 (24)
   |                                 |                                             
   |                                 |-- C87 (26)
   |                                 |                                             
   |                                 |-- C528 (29)
   +                                 |                                             
   |                        /--------+--------- C235 (30)
   |                        |        |                                             
   |                        |        |-- C93 (32)
   |                        |        |                                             
   |                        |        |   /- C31 (33)
   |                        |        |---+                                         
   |                        |        |   \--- C141 (68)
   |                        |        |                                             
   |                        |        |-- C571 (34)
   |                        |        |                                             
   |                        |        |--------------- C247 (37)
   |                        |        |                                             
   |                        |        |-- C99 (39)
   |                        |        |                                             
   |                        |        |-- C482 (40)
   |                        |        |                                             
   |                        |        |-------- C243 (41)
   |                        |        |                                             
   |                        |        |-- C576 (42)
   |                        |        |                                             
   |                        |        |-- C259 (43)
   |                        |        |                                             
   |                        |        |-- C60 (45)
   |                        |        |                                             
   |                        |        |-- C105 (46)
   |                        |        |                                             
   |                        |        |-- C620 (47)
   |                        |        |                                             
   |                        |        |-- C271 (50)
   |                        |        |                                             
   |                        |        |   /--------- C111 (52)
   |                        |        |---+                                         
   |                        |        |   \-- C641 (67)
   |                        |        |                                             
   |                        |        |---- C619 (54)
   |                        |        |                                             
   |                        |        |-- C624 (55)
   |                        |        |                                             
   |                        |        |- C283 (57)
   |                        |        |                                             
   |                        |        |---------- C52 (60)
   |                        |        |                                             
   |                        |        |---- C32 (61)
   |                        |        |                                             
   |                        |        |-- C551 (63)
   |                /-------+        |                                             
   |                |       |        |-- C380 (64)
   |                |       |        |                                             
   |                |       |        |-- C417 (69)
   |                |       |        |                                             
   |                |       |        |-------- C385 (72)
   |                |       |        |                                             
   |                |       |        |-- C129 (73)
   |                |       |        |                                             
   |                |       |        |-- C291 (74)
   |                |       |        |                                             
   |                |       |        |-- C483 (75)
   |                |       |        |                                             
   |                |       |        |---- C583 (77)
   |                |       |        |                                             
   |                |       |        |-- C559 (78)
   |                |       |        |                                             
   |                |       |        |------ C391 (79)
   |                |       |        |                                             
   |                |       |        |------ C135 (80)
   |                |       |        |                                             
   |                |       |        |-- C441 (81)
   |                |       |        |                                             
   |                |       |        |-- C549 (82)
   |    /-----------+       |        |                                             
   |    |           |       |        |---- C407 (83)
   |    |           |       |        |                                             
   |    |           |       |        |---- C595 (84)
   |    |           |       |        |                                             
   |    |           |       |        |-- C397 (85)
   |    |           |       |        |                                             
   |    |           |       |        |-- C615 (88)
   |    |           |       |        |                                             
   |    |           |       |        |-- C575 (89)
   |    |           |       |        |                                             
   |    |           |       |        \------ C437 (90)
   |    |           |       |                                                      
   \----+           |       |         /------------------- C207 (11)
        |           |       |         |                                            
        |           |       |         |                                /- C350 (31)
        |           |       |---------+                            /---+           
        |           |       |         |                            |   \- C27 (66)
        |           |       |         \----------------------------+               
        |           |       |                                      \---- C4 (71)
        |           |       |                                                      
        |           |       \---------------------- C206 (27)
        |           |                                                              
        |           \------------------------------------- C159 (53)
        |                                                                          
        \-- C123 (28)
                                                                                   
   |-----------------| 0.005 expected changes per site

   Calculating tree probabilities...

   Credible sets of trees (3002 trees sampled):
      50 % credible set contains 1501 trees
      90 % credible set contains 2702 trees
      95 % credible set contains 2852 trees
      99 % credible set contains 2972 trees

   Exiting mrbayes block
   Reached end of file

   Tasks completed, exiting program because mode is noninteractive
   To return control to the command line after completion of file processing, 
   set mode to interactive with 'mb -i <filename>' (i is for interactive)
   or use 'set mode=interactive'

Running FUBAR...
     /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):***************** 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: `(C14,C117,((((C65,(C598,C591),C287,C189,C195,((C325,C331,C377),C338,C344,C183,(C552,C303),C356,C362,C368,C369,C374,C313,C34,C347),(C71,C70),C589,C203,(C599,C600),C565,C381,C224,C211,C81,C68,C63,C504,C543,C223,C87,C528,C235,C93,(C31,C141),C571,C247,C99,C482,C243,C576,C259,C60,C105,C620,C271,(C111,C641),C619,C624,C283,C52,C32,C551,C380,C417,C385,C129,C291,C483,C583,C559,C391,C135,C441,C549,C407,C595,C397,C615,C575,C437),(C207,((C350,C27),C4)),C206),C159),C123))`

>Would you like to use it (y/n)? 

>Loaded a multiple sequence alignment with **90** sequences, **280** codons, and **1** partitions from `/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.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) = -2151.92, AIC-c =  4530.17 (113 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 :    0.191

### 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 =  0.357
* Computing conditional site likelihoods on a 20 x 20 rate grid

### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
	* Dirichlet alpha  : 0.5

### Tabulating site-level results
|     Codon      |   Partition    |     alpha      |      beta      |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
|      135       |       1        |        0.739   |        6.485   |       Pos. posterior = 0.9564       |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these,  0.04 are expected to be false positives (95% confidence interval of 0-1 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE:  ], CPU=0.50 sec, SCORE=1000, Nseq=90, Len=280 

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            SGYVSRACKNVLLVGSFLTFFWSKLFSYTKFFWVIPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWLNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            SGYVSRACRNVLLVGFFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             SGYVTRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             SGYVLRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            SGCVSRACRNVLLVGSFLTFFWSELVSYTKFFWVSPGYVTPMFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPIFACLSLLS
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
                .* * ***:****** *******:*.*******: ******:********

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            SLLMFTLKHKTLFFQVFLIPALVVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            PLLMFTLKHKTLFFQVFLIPAMIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVHNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
                .********************::*************:**** ********

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            MGFNAQGLVNIFVCFVVTILHGTYTWRFSNTPVSSVTYVVALLTAAYNYF
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTTVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            MGFNAQGLVNIFVCFVVTILHGTYTWRFFTTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALMTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            MGFNAQGLVNIFVCFVVTTLHGTYTWRFFNTPVSSVTYVVALLIAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALMTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            MGFNAQGLVNIFVCFVVTILHGTYTRRFFNTPVSSVTYVVALLTAAYNYF
                ****************** ****** ** .*..* *******: ******

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            YASDILSCAMTLFASVTGNWFVGVVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYIALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            YASDVLSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYIALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            YASDTLSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            YAGDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
                **.* ******************.****.***:*****************

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYSVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            MFCYLVLGYFTCCYYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLP
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
                *************:********************:************** 

13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV4             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV99            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV43            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV71            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV0             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV69            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV41            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV59            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV75            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV5             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV98            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV87            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV89            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV95            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV25            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV1             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV89            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV03            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV07            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV31            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV65            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV81            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV24            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV11            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV38            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV1             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV8             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV3             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV04            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV23            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV44            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_mutant1_nsp3_VIPR_ALG4_AST13220_1_10177_11016_1_2015_09_China_Unknown_PEDV7             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV06            APTGTFDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV23            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV28            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV35            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV50            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV3             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV1             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV83            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV52            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV47            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV56            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_mutant2_nsp3_VIPR_ALG4_AST13226_1_9853_10692_1_2015_09_China_Unknown_PEDV9             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV82            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV43            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV76            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV59            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV62            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV05            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV20            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV03            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV00            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV71            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV68            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV11            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV59            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV19            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV24            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV83            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV74            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV17            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV2             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV2             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV13            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV51            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV80            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV4             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV7             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV41            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV17            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV47            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV              APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV85            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV29            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
15V010_BEL_2015_nsp3_VIPR_ALG4_807013855_10190_11029_1_2015_01_Belgium_Swine_PEDV91            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV83            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV77            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV83            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV91            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
13_019349_nsp3_VIPR_ALG4_527290414_10189_11028_1_2013_05_29_USA_Swine_PEDV35            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV41            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV49            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV07            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV95            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3c_nsp3_VIPR_ALG4_QNL15260_1_10190_11029_1_2017_01_China_Swine_PEDV97            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_CH_GDZHDM_1401_nsp3_VIPR_ALG4_1021395879_10165_11004_1_2014_01_04_China_Swine_PEDV_nsp3_VIPR_ALG4_AST13135_1_10177_11016_1_2015_09_China_Unknown_PEDV0             APTGTLDSLLLSAKLIGIGGERNIKISSVQ
17GXCZ_1ORF3d_nsp3_VIPR_ALG4_QNL15254_1_10190_11029_1_2017_01_China_Swine_PEDV91            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_A40_nsp3_VIPR_ALG4_AST13129_1_10177_11016_1_2015_09_China_Unknown_PEDV15            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV37            APTGTLDSLLLSAKLIGIGGERNIKISSVQ
                *****:************************



>AH2012_12_nsp3_VIPR_ALG4_1020263108_10190_11029_1_2012_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGTTGTCCTCACTTTTGATGTTCACACTCAAGCATAAAACGTTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTAGAAGTCTACAATTATTTGGCAGGGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATATTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTCTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTGGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_OK10240_6_2017_nsp3_VIPR_ALG4_AVI57395_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGATTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota289_2014_nsp3_VIPR_ALG4_825144643_10145_10984_1_2014_04_02_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota79_2013_nsp3_VIPR_ALG4_658130512_10155_10994_1_2013_11_30_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_SCGA_2017_nsp3_VIPR_ALG4_AZL47191_1_10190_11029_1_2017_01_05_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L01018_K01_15_08_2015_nsp3_VIPR_ALG4_SNQ27907_1_10190_11029_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>YN15_nsp3_VIPR_ALG4_946526331_10190_11029_1_2013_10_05_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGTTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota61_2013_nsp3_VIPR_ALG4_658130729_10155_10994_1_2013_11_18_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota85_2013_nsp3_VIPR_ALG4_658130540_10155_10994_1_2013_12_04_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_SCZY44_2017_nsp3_VIPR_ALG4_AZL47203_1_10190_11029_1_2017_09_09_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_NorthCarolina91_2013_nsp3_VIPR_ALG4_658130575_10155_10994_1_2013_12_08_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAATTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>OH8593_14_nsp3_VIPR_ALG4_946969666_10163_11002_1_2014_10_14_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTTTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>IBR_3_JPN_2014_nsp3_VIPR_ALG4_948549340_10132_10971_1_2014_04_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>IBR_8_JPN_2014_nsp3_VIPR_ALG4_948549354_10132_10971_1_2014_05_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTTACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_1873_2_Segovia_nsp3_VIPR_ALG4_QKV43786_1_10194_11033_1_2016_09_23_Spain_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGGTTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTCTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_TP_3_1_2018_nsp3_VIPR_ALG4_QCC26586_1_10190_11029_1_2018_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGCTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCCGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Missouri93_2013_nsp3_VIPR_ALG4_658130589_10155_10994_1_2013_12_11_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>IWT_2_JPN_2014_nsp3_VIPR_ALG4_948549326_10132_10971_1_2014_04_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>JS2008_nsp3_VIPR_ALG4_459357910_10166_11005_1_2008_China_Swine_PEDV
GGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAACTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTTACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAATACAACTGTGAGTTCTGTCACCTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTATGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTCGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTAGGTTATTTTACCTGTTGCTTCTATGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAATGGCCTACGTGCACCAACTGGAACACTTGATTCGCTACTGCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_2098_1_Malaga_Casares_nsp3_VIPR_ALG4_QKV43816_1_10194_11033_1_2018_01_11_Spain_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota71_2013_nsp3_VIPR_ALG4_658130736_10155_10994_1_2013_11_25_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_LS_nsp3_VIPR_ALG4_761662564_10190_11029_1_2014_01_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAAAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAAAATTATTTTCTTACACTAAGTTCTTTTGGGTAATTCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCCCACTTTTGATGTTCACACTCAAGCATAAAACATTGTTTTTCCAGGTCTTTCTAATACCTGCTATGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGTTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KNU_1305_nsp3_VIPR_ALG4_659495322_10190_11029_1_2013_12_South_Korea_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>JSX2014_nsp3_VIPR_ALG4_AZN28592_1_10190_11029_1_2014_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGTTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_AUSTRIA_L01062_M10_15_01_2015_nsp3_VIPR_ALG4_SNT95670_1_10168_11007_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>COL_Antioquia06285_2015_nsp3_VIPR_ALG4_QGQ60275_1_10182_11021_1_2015_05_20_Colombia_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_SXYL_2016_nsp3_VIPR_ALG4_ASY04642_1_10189_11028_1_2016_09_10_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGTTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_SCZG_2017_nsp3_VIPR_ALG4_AZL47197_1_10190_11029_1_2017_01_05_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Iowa23_57_2013_nsp3_VIPR_ALG4_658130337_10155_10994_1_2013_10_20_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KGW_1_JPN_2014_nsp3_VIPR_ALG4_948549221_10132_10971_1_2014_04_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L00855_K14_14_02_2014_nsp3_VIPR_ALG4_SNQ28081_1_10185_11024_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>COL_Antioquia_2014_nsp3_VIPR_ALG4_QGQ60251_1_10173_11012_1_2015_04_27_Colombia_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>Italy_7239_2009_nsp3_VIPR_ALG4_960380158_10161_11000_1_2009_01_14_Italy_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTTTGACTTTCTTTTGGTCAGAATTAGTTTCTTACACCAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTATACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATATACATGGCGCTTCTTTACTACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGTTGACTGCGGCATATAACTATTTTTACGCTAGTGATATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATTCTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACATTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS16_nsp3_VIPR_ALG4_QCQ19941_1_10190_11029_1_2011_05_25_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAAACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTAGAAGTCTACAATTATTTGGCAGGGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATATTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTCTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTGGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota100_2013_nsp3_VIPR_ALG4_658130631_10155_10994_1_2013_12_14_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KNU_1601_nsp3_VIPR_ALG4_ASA69723_1_10190_11029_1_2016_03_South_Korea_Swine_PEDV
AGTGGTTATGTTTCACGTGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTATTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACTATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L00901_V215_1978_nsp3_VIPR_ALG4_SNC44844_1_10183_11022_1_NA_NA_Unknown_PEDV
GGTGGCTATGTGTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTCTGGGTAAATCCTGGTTATGTTACACCTATGTTTGCGTGCTTGTCATTGCTATCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTTATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGCGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCCTATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGTTGCTGTGTATATGGCCTTGAGATTTCCTACGTTCGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAATGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTGTTGTCCGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>COL_Cundinamarca_2014_nsp3_VIPR_ALG4_984943312_10168_11007_1_2014_05_02_Colombia_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CHN_SH_2016_4_2016_nsp3_VIPR_ALG4_AVK78146_1_9898_10737_1_2016_01_20_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>HUN_5031_2016_nsp3_VIPR_ALG4_ASB30080_1_10178_11017_1_2016_03_01_Hungary_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCCACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota408_2014_nsp3_VIPR_ALG4_825144930_10142_10981_1_2014_08_28_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTCTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGATGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATTGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KNU_1807_nsp3_VIPR_ALG4_QBA57557_1_10169_11008_1_2018_03_South_Korea_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTTTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACTACCTTACACGGCACATACACATGGCGTTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGATTGCGGCATATAACTATTTTTACGCTAGTGACGTTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L00927_K20_14_02_2014_nsp3_VIPR_ALG4_SNQ27984_1_10190_11029_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>COL_ValledelCauca_2015_nsp3_VIPR_ALG4_QGQ60293_1_10168_11007_1_2017_07_01_Colombia_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Illinois259_2014_nsp3_VIPR_ALG4_825144552_10145_10984_1_2014_03_13_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KNU_1710_nsp3_VIPR_ALG4_AWM11497_1_10190_11029_1_2017_04_South_Korea_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGTTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTCACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCAAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota86_2013_nsp3_VIPR_ALG4_658130547_10155_10994_1_2013_12_07_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>KUIDL_PED_2014_007_nsp3_VIPR_ALG4_614790571_9969_10808_1_2014_02_South_Korea_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L00999_K06_15_07_2015_nsp3_VIPR_ALG4_SNQ27940_1_10166_11005_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>FKO_1_JPN_2014_nsp3_VIPR_ALG4_948549130_10132_10971_1_2014_03_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_SouthDakota285_2014_nsp3_VIPR_ALG4_825144566_10145_10984_1_2014_04_02_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PC22A_P20_nsp3_VIPR_ALG4_APX55516_1_10181_11020_1_2013_10_01_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTCTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGATGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATTGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_OK10240_8_2017_nsp3_VIPR_ALG4_AVI57402_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGATTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>MN_nsp3_VIPR_ALG4_551485549_10190_11029_1_2013_06_19_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L01015_K01_15_05_2015_nsp3_VIPR_ALG4_SNQ28056_1_10190_11029_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS01_nsp3_VIPR_ALG4_815939790_10190_11029_1_2012_11_10_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGTTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAAACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAACACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTGGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS52_nsp3_VIPR_ALG4_QCQ20067_1_10190_11029_1_2017_02_25_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGTTGTCCTCACTTTTGATGTTCACACTCAAGCATAAAACGTTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTAGAAGTCTATAACTATTTGGCAGGGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAATATCTTTGTATGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGTTGACTGCGGCATATAACTATTTCTACGCTAGTGACACTCTTAGTTGTGCTATGACACTATTCGCTAGTGTGACTGGCAACTGGTTTGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGGTTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTTTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTACTATGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCTTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATCTCTTCCGTTCAG
>USA_Oklahoma477_2014_nsp3_VIPR_ALG4_825144888_10145_10984_1_2014_12_12_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACGGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Texas128_2013_nsp3_VIPR_ALG4_658130673_10155_10994_1_2013_11_12_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>OH10123_14_nsp3_VIPR_ALG4_946969657_10190_11029_1_2014_04_22_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L01061_K07_15_03_2015_nsp3_VIPR_ALG4_SNT95658_1_10190_11029_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS08_nsp3_VIPR_ALG4_QCQ19935_1_10190_11029_1_2011_02_10_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGTTGTCCTCACTTTTGATGTTCACACTCAAGCATAAAACGTTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTAGAAGTCTACAATTATTTGGCAGGGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATATTTGTCTGCTTTGTTGTTACCATCTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTCTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTGGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_HNZZ47_2016_nsp3_VIPR_ALG4_1111331903_10181_11020_1_2016_05_China_Swine_PEDV
AGTGGTTATGTTACACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGTTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTATGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAGTTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CHN_SH_2012_5_2012_nsp3_VIPR_ALG4_AVK78140_1_10190_11029_1_2012_02_21_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAATTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_1453_Zaragoza_Tauste_nsp3_VIPR_ALG4_QKV43720_1_10155_10994_1_2014_04_24_Spain_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota402_2014_nsp3_VIPR_ALG4_825144454_10145_10984_1_2014_08_18_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_LNsy_nsp3_VIPR_ALG4_ATG31099_1_10190_11029_1_2015_03_02_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_BJ11_2016_nsp3_VIPR_ALG4_AYP73644_1_10190_11029_1_2016_11_China_Unknown_PEDV
AGTGGTTATGTTTTACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAAGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTTTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAGTTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>Br1_87_nsp3_VIPR_ALG4_SNW64183_1_10190_11029_1_NA_NA_Unknown_PEDV
GGTGGCTATGTGTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTCTGGGTAAATCCTGGTTATGTTACACCTATGTTTGCGTGCTTGTCATTGCTATCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTTATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGCGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCCTATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGTTGCTGTGTATATGGCCTTGAGATTTCCTACGTTCGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAATGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTGTTGTCCGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS33_nsp3_VIPR_ALG4_QCQ19899_1_10190_11029_1_2014_07_28_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTTTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTTTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_USA_Texas132_2015_nsp3_VIPR_ALG4_1034700865_10161_11000_1_2015_11_05_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_GER_L00857_K14_14_04_2014_nsp3_VIPR_ALG4_SNQ28009_1_10171_11010_1_NA_NA_Unknown_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV
GGTGGCTATGTGTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTCTGGGTAAATCCTGGTTATGTTACACCTATGTTTGCGTGTTTGTCATTGCTATCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTTATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTCTTTAATACACCTGCGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCCTATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGTTGCTGTGTATATGGCCTTGAGATTTCCTACGTTCGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAATGGCCTACCTGCACCAACTGGAACACTTGATTCACTACTGTTGTCCGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_MEX_GTO_02_2016_nsp3_VIPR_ALG4_AVU05338_1_9996_10835_1_2016_07_19_Mexico_Swine_PEDV
AGTGGTTGTGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAGTCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTTATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS22_nsp3_VIPR_ALG4_QCQ19833_1_10190_11029_1_2012_09_23_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>OKY_1_JPN_2014_nsp3_VIPR_ALG4_948549382_10132_10971_1_2014_03_Japan_Pig_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Illinois260_2014_nsp3_VIPR_ALG4_825144671_10145_10984_1_2014_03_14_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_H3_Barcelona_Vic_nsp3_VIPR_ALG4_QKV43846_1_10194_11033_1_2019_01_07_Spain_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTCTTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGTTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Missouri164_2014_nsp3_VIPR_ALG4_825144804_10145_10984_1_2014_02_26_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTGGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_MEX_JAL_03_2017_nsp3_VIPR_ALG4_AVU05380_1_10020_10859_1_2017_02_10_Mexico_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATATTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCGAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>GDS28_nsp3_VIPR_ALG4_QCQ19857_1_10190_11029_1_2012_12_13_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGCAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCTTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTATGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>TC_Iowa106_PV39_P1_nsp3_VIPR_ALG4_684183346_10178_11017_1_2013_12_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Minnesota379_2014_nsp3_VIPR_ALG4_825144881_10145_10984_1_2014_06_10_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_MEX_VER_02_2015_nsp3_VIPR_ALG4_AVU05485_1_10020_10859_1_2015_10_21_Mexico_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGCGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_NorthCarolina40_2013_nsp3_VIPR_ALG4_658130316_10155_10994_1_2013_10_05_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTCGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>PEDV_MEX_MICH_02_2015_nsp3_VIPR_ALG4_AVU05443_1_10020_10859_1_2015_03_20_Mexico_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>CH_TP_4_3_2018_nsp3_VIPR_ALG4_QCC26593_1_10192_11031_1_2018_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGCTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCCGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_NC_2013_49469_nsp3_VIPR_ALG4_874010829_10190_11029_1_2013_12_10_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAATTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>USA_Oklahoma38_2013_nsp3_VIPR_ALG4_658130302_10155_10994_1_2013_09_07_USA_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCAGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACATGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTTTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>SHXX1902_nsp3_VIPR_ALG4_QOC68599_1_10191_11030_1_2019_02_China_Swine_PEDV
AGTGGTTATGTTTCACGCGCCTGTAGAAATGTCTTGCTGGTTGGTTCTTTTCTGACTTTCTTTTGGTCTGAATTAGTTTCCTACACTAAGTTCTTTTGGGTAAATCCTGGTTATGTCACACCTATGTTTGCGTGTTTGTCATTGCTGTCCTCACTTTTGATGTTCACACTCAAGCATAAGACATTGTTTTTCCAGGTCTTTCTAATACCTGCTCTGATTGTTACATCTTGCATTAATTTGGCATTTGATGTTGAAGTCTACAACTATTTGGCAGAGCATTTTGATTACCATGTTTCTCTCATGGGTTTTAATGCACAAGGTCTTGTTAACATCTTTGTCTGCTTTGTTGTTACCATTTTACACGGCACATACACAAGGCGCTTTTTTAACACACCTGTGAGTTCTGTCACTTATGTGGTAGCTTTGCTGACTGCGGCATATAACTATTTTTACGCTAGTGACATTCTTAGTTGTGCTATGACACTATTTGCTAGTGTGACTGGCAACTGGTTCGTTGGTGCTGTTTGTTATAAAGCTGCTGTTTATATGGCCTTGAGATTTCCTACTTTTGTGGCTATTTTTGGTGATATTAAGAGTGTTATGTTCTGTTACCTTGTGTTGGGTTATTTTACCTGTTGCTTCTACGGTATTCTCTACTGGTTCAACAGGTTCTTTAAGGTTAGTGTAGGTGTCTATGACTATACTGTTAGTGCTGCTGAGTTTAAGTATATGGTTGCTAACGGCCTACGTGCACCAACTGGAACACTTGATTCACTACTTCTGTCTGCCAAATTGATTGGTATTGGTGGTGAGCGGAATATTAAGATTTCTTCCGTTCAG
>AH2012_12_nsp3_VIPR_ALG4_1020263108_10190_11029_1_2012_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_OK10240_6_2017_nsp3_VIPR_ALG4_AVI57395_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota289_2014_nsp3_VIPR_ALG4_825144643_10145_10984_1_2014_04_02_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota79_2013_nsp3_VIPR_ALG4_658130512_10155_10994_1_2013_11_30_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_SCGA_2017_nsp3_VIPR_ALG4_AZL47191_1_10190_11029_1_2017_01_05_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L01018_K01_15_08_2015_nsp3_VIPR_ALG4_SNQ27907_1_10190_11029_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>YN15_nsp3_VIPR_ALG4_946526331_10190_11029_1_2013_10_05_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota61_2013_nsp3_VIPR_ALG4_658130729_10155_10994_1_2013_11_18_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota85_2013_nsp3_VIPR_ALG4_658130540_10155_10994_1_2013_12_04_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_SCZY44_2017_nsp3_VIPR_ALG4_AZL47203_1_10190_11029_1_2017_09_09_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_NorthCarolina91_2013_nsp3_VIPR_ALG4_658130575_10155_10994_1_2013_12_08_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>OH8593_14_nsp3_VIPR_ALG4_946969666_10163_11002_1_2014_10_14_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>IBR_3_JPN_2014_nsp3_VIPR_ALG4_948549340_10132_10971_1_2014_04_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>IBR_8_JPN_2014_nsp3_VIPR_ALG4_948549354_10132_10971_1_2014_05_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_1873_2_Segovia_nsp3_VIPR_ALG4_QKV43786_1_10194_11033_1_2016_09_23_Spain_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALVVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFSNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_TP_3_1_2018_nsp3_VIPR_ALG4_QCC26586_1_10190_11029_1_2018_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Missouri93_2013_nsp3_VIPR_ALG4_658130589_10155_10994_1_2013_12_11_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>IWT_2_JPN_2014_nsp3_VIPR_ALG4_948549326_10132_10971_1_2014_04_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>JS2008_nsp3_VIPR_ALG4_459357910_10166_11005_1_2008_China_Swine_PEDV
GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTTVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_2098_1_Malaga_Casares_nsp3_VIPR_ALG4_QKV43816_1_10194_11033_1_2018_01_11_Spain_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota71_2013_nsp3_VIPR_ALG4_658130736_10155_10994_1_2013_11_25_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_LS_nsp3_VIPR_ALG4_761662564_10190_11029_1_2014_01_China_Swine_PEDV
SGYVSRACKNVLLVGSFLTFFWSKLFSYTKFFWVIPGYVTPMFACLSLLS
PLLMFTLKHKTLFFQVFLIPAMIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KNU_1305_nsp3_VIPR_ALG4_659495322_10190_11029_1_2013_12_South_Korea_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>JSX2014_nsp3_VIPR_ALG4_AZN28592_1_10190_11029_1_2014_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGVVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_AUSTRIA_L01062_M10_15_01_2015_nsp3_VIPR_ALG4_SNT95670_1_10168_11007_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>COL_Antioquia06285_2015_nsp3_VIPR_ALG4_QGQ60275_1_10182_11021_1_2015_05_20_Colombia_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_SXYL_2016_nsp3_VIPR_ALG4_ASY04642_1_10189_11028_1_2016_09_10_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWLNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_SCZG_2017_nsp3_VIPR_ALG4_AZL47197_1_10190_11029_1_2017_01_05_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Iowa23_57_2013_nsp3_VIPR_ALG4_658130337_10155_10994_1_2013_10_20_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KGW_1_JPN_2014_nsp3_VIPR_ALG4_948549221_10132_10971_1_2014_04_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L00855_K14_14_02_2014_nsp3_VIPR_ALG4_SNQ28081_1_10185_11024_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>COL_Antioquia_2014_nsp3_VIPR_ALG4_QGQ60251_1_10173_11012_1_2015_04_27_Colombia_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>Italy_7239_2009_nsp3_VIPR_ALG4_960380158_10161_11000_1_2009_01_14_Italy_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFTTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYSVSAAEFKYMVANGLR
APTGTFDSLLLSAKLIGIGGERNIKISSVQ
>GDS16_nsp3_VIPR_ALG4_QCQ19941_1_10190_11029_1_2011_05_25_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota100_2013_nsp3_VIPR_ALG4_658130631_10155_10994_1_2013_12_14_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KNU_1601_nsp3_VIPR_ALG4_ASA69723_1_10190_11029_1_2016_03_South_Korea_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L00901_V215_1978_nsp3_VIPR_ALG4_SNC44844_1_10183_11022_1_NA_NA_Unknown_PEDV
GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>COL_Cundinamarca_2014_nsp3_VIPR_ALG4_984943312_10168_11007_1_2014_05_02_Colombia_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CHN_SH_2016_4_2016_nsp3_VIPR_ALG4_AVK78146_1_9898_10737_1_2016_01_20_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>HUN_5031_2016_nsp3_VIPR_ALG4_ASB30080_1_10178_11017_1_2016_03_01_Hungary_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVHNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota408_2014_nsp3_VIPR_ALG4_825144930_10142_10981_1_2014_08_28_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALMTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYIALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KNU_1807_nsp3_VIPR_ALG4_QBA57557_1_10169_11008_1_2018_03_South_Korea_Swine_PEDV
SGYVSRACRNVLLVGFFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTTLHGTYTWRFFNTPVSSVTYVVALLIAAYNYF
YASDVLSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L00927_K20_14_02_2014_nsp3_VIPR_ALG4_SNQ27984_1_10190_11029_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>COL_ValledelCauca_2015_nsp3_VIPR_ALG4_QGQ60293_1_10168_11007_1_2017_07_01_Colombia_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Illinois259_2014_nsp3_VIPR_ALG4_825144552_10145_10984_1_2014_03_13_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KNU_1710_nsp3_VIPR_ALG4_AWM11497_1_10190_11029_1_2017_04_South_Korea_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota86_2013_nsp3_VIPR_ALG4_658130547_10155_10994_1_2013_12_07_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>KUIDL_PED_2014_007_nsp3_VIPR_ALG4_614790571_9969_10808_1_2014_02_South_Korea_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L00999_K06_15_07_2015_nsp3_VIPR_ALG4_SNQ27940_1_10166_11005_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>FKO_1_JPN_2014_nsp3_VIPR_ALG4_948549130_10132_10971_1_2014_03_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_SouthDakota285_2014_nsp3_VIPR_ALG4_825144566_10145_10984_1_2014_04_02_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PC22A_P20_nsp3_VIPR_ALG4_APX55516_1_10181_11020_1_2013_10_01_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALMTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYIALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_OK10240_8_2017_nsp3_VIPR_ALG4_AVI57402_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>MN_nsp3_VIPR_ALG4_551485549_10190_11029_1_2013_06_19_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L01015_K01_15_05_2015_nsp3_VIPR_ALG4_SNQ28056_1_10190_11029_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS01_nsp3_VIPR_ALG4_815939790_10190_11029_1_2012_11_10_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS52_nsp3_VIPR_ALG4_QCQ20067_1_10190_11029_1_2017_02_25_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDTLSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCYYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Oklahoma477_2014_nsp3_VIPR_ALG4_825144888_10145_10984_1_2014_12_12_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Texas128_2013_nsp3_VIPR_ALG4_658130673_10155_10994_1_2013_11_12_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>OH10123_14_nsp3_VIPR_ALG4_946969657_10190_11029_1_2014_04_22_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L01061_K07_15_03_2015_nsp3_VIPR_ALG4_SNT95658_1_10190_11029_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS08_nsp3_VIPR_ALG4_QCQ19935_1_10190_11029_1_2011_02_10_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAGHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_HNZZ47_2016_nsp3_VIPR_ALG4_1111331903_10181_11020_1_2016_05_China_Swine_PEDV
SGYVTRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CHN_SH_2012_5_2012_nsp3_VIPR_ALG4_AVK78140_1_10190_11029_1_2012_02_21_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_1453_Zaragoza_Tauste_nsp3_VIPR_ALG4_QKV43720_1_10155_10994_1_2014_04_24_Spain_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota402_2014_nsp3_VIPR_ALG4_825144454_10145_10984_1_2014_08_18_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_LNsy_nsp3_VIPR_ALG4_ATG31099_1_10190_11029_1_2015_03_02_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_BJ11_2016_nsp3_VIPR_ALG4_AYP73644_1_10190_11029_1_2016_11_China_Unknown_PEDV
SGYVLRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>Br1_87_nsp3_VIPR_ALG4_SNW64183_1_10190_11029_1_NA_NA_Unknown_PEDV
GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS33_nsp3_VIPR_ALG4_QCQ19899_1_10190_11029_1_2014_07_28_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSFVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_USA_Texas132_2015_nsp3_VIPR_ALG4_1034700865_10161_11000_1_2015_11_05_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_GER_L00857_K14_14_04_2014_nsp3_VIPR_ALG4_SNQ28009_1_10171_11010_1_NA_NA_Unknown_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV
GGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPASSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKVAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLP
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_MEX_GTO_02_2016_nsp3_VIPR_ALG4_AVU05338_1_9996_10835_1_2016_07_19_Mexico_Swine_PEDV
SGCVSRACRNVLLVGSFLTFFWSELVSYTKFFWVSPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS22_nsp3_VIPR_ALG4_QCQ19833_1_10190_11029_1_2012_09_23_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>OKY_1_JPN_2014_nsp3_VIPR_ALG4_948549382_10132_10971_1_2014_03_Japan_Pig_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Illinois260_2014_nsp3_VIPR_ALG4_825144671_10145_10984_1_2014_03_14_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_H3_Barcelona_Vic_nsp3_VIPR_ALG4_QKV43846_1_10194_11033_1_2019_01_07_Spain_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Missouri164_2014_nsp3_VIPR_ALG4_825144804_10145_10984_1_2014_02_26_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YAGDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_MEX_JAL_03_2017_nsp3_VIPR_ALG4_AVU05380_1_10020_10859_1_2017_02_10_Mexico_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPIFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>GDS28_nsp3_VIPR_ALG4_QCQ19857_1_10190_11029_1_2012_12_13_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>TC_Iowa106_PV39_P1_nsp3_VIPR_ALG4_684183346_10178_11017_1_2013_12_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Minnesota379_2014_nsp3_VIPR_ALG4_825144881_10145_10984_1_2014_06_10_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_MEX_VER_02_2015_nsp3_VIPR_ALG4_AVU05485_1_10020_10859_1_2015_10_21_Mexico_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_NorthCarolina40_2013_nsp3_VIPR_ALG4_658130316_10155_10994_1_2013_10_05_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>PEDV_MEX_MICH_02_2015_nsp3_VIPR_ALG4_AVU05443_1_10020_10859_1_2015_03_20_Mexico_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>CH_TP_4_3_2018_nsp3_VIPR_ALG4_QCC26593_1_10192_11031_1_2018_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_NC_2013_49469_nsp3_VIPR_ALG4_874010829_10190_11029_1_2013_12_10_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>USA_Oklahoma38_2013_nsp3_VIPR_ALG4_658130302_10155_10994_1_2013_09_07_USA_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTWRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
>SHXX1902_nsp3_VIPR_ALG4_QOC68599_1_10191_11030_1_2019_02_China_Swine_PEDV
SGYVSRACRNVLLVGSFLTFFWSELVSYTKFFWVNPGYVTPMFACLSLLS
SLLMFTLKHKTLFFQVFLIPALIVTSCINLAFDVEVYNYLAEHFDYHVSL
MGFNAQGLVNIFVCFVVTILHGTYTRRFFNTPVSSVTYVVALLTAAYNYF
YASDILSCAMTLFASVTGNWFVGAVCYKAAVYMALRFPTFVAIFGDIKSV
MFCYLVLGYFTCCFYGILYWFNRFFKVSVGVYDYTVSAAEFKYMVANGLR
APTGTLDSLLLSAKLIGIGGERNIKISSVQ
Reading sequence file /data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/fasta/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1
Found 90 sequences of length 840
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig):  0.7%
Found 47 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to:      Phi.inf.list
Calculating all pairwise incompatibilities...
Done:   0.0%100.0%

Using a window size of  80 with k as 4

Calculating analytical mean and variance

Doing permutation test for PHI

Doing permutation test for NSS

Doing Permutation test for MAXCHI

Writing  alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 72 polymorphic sites

     **p-Value(s)**     
       ----------

NSS:                 8.00e-03  (1000 permutations)
Max Chi^2:           5.40e-02  (1000 permutations)
PHI (Permutation):   6.85e-01  (1000 permutations)
PHI (Normal):        6.24e-01

#NEXUS
[ID: 1971224789]
begin taxa;
	dimensions ntax=90;
	taxlabels
		AH2012_12_nsp3_VIPR_ALG4_1020263108_10190_11029_1_2012_China_Swine_PEDV
		CH_SCZY44_2017_nsp3_VIPR_ALG4_AZL47203_1_10190_11029_1_2017_09_09_China_Swine_PEDV
		USA_NorthCarolina91_2013_nsp3_VIPR_ALG4_658130575_10155_10994_1_2013_12_08_USA_Swine_PEDV
		OH8593_14_nsp3_VIPR_ALG4_946969666_10163_11002_1_2014_10_14_USA_Swine_PEDV
		IBR_3_JPN_2014_nsp3_VIPR_ALG4_948549340_10132_10971_1_2014_04_Japan_Pig_PEDV
		IBR_8_JPN_2014_nsp3_VIPR_ALG4_948549354_10132_10971_1_2014_05_Japan_Pig_PEDV
		PEDV_1873_2_Segovia_nsp3_VIPR_ALG4_QKV43786_1_10194_11033_1_2016_09_23_Spain_Swine_PEDV
		CH_TP_3_1_2018_nsp3_VIPR_ALG4_QCC26586_1_10190_11029_1_2018_China_Swine_PEDV
		USA_Missouri93_2013_nsp3_VIPR_ALG4_658130589_10155_10994_1_2013_12_11_USA_Swine_PEDV
		IWT_2_JPN_2014_nsp3_VIPR_ALG4_948549326_10132_10971_1_2014_04_Japan_Pig_PEDV
		JS2008_nsp3_VIPR_ALG4_459357910_10166_11005_1_2008_China_Swine_PEDV
		USA_OK10240_6_2017_nsp3_VIPR_ALG4_AVI57395_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
		PEDV_2098_1_Malaga_Casares_nsp3_VIPR_ALG4_QKV43816_1_10194_11033_1_2018_01_11_Spain_Swine_PEDV
		USA_Minnesota71_2013_nsp3_VIPR_ALG4_658130736_10155_10994_1_2013_11_25_USA_Swine_PEDV
		PEDV_LS_nsp3_VIPR_ALG4_761662564_10190_11029_1_2014_01_China_Swine_PEDV
		KNU_1305_nsp3_VIPR_ALG4_659495322_10190_11029_1_2013_12_South_Korea_Swine_PEDV
		JSX2014_nsp3_VIPR_ALG4_AZN28592_1_10190_11029_1_2014_China_Swine_PEDV
		PEDV_AUSTRIA_L01062_M10_15_01_2015_nsp3_VIPR_ALG4_SNT95670_1_10168_11007_1_NA_NA_Unknown_PEDV
		COL_Antioquia06285_2015_nsp3_VIPR_ALG4_QGQ60275_1_10182_11021_1_2015_05_20_Colombia_Swine_PEDV
		CH_SXYL_2016_nsp3_VIPR_ALG4_ASY04642_1_10189_11028_1_2016_09_10_China_Swine_PEDV
		CH_SCZG_2017_nsp3_VIPR_ALG4_AZL47197_1_10190_11029_1_2017_01_05_China_Swine_PEDV
		USA_Iowa23_57_2013_nsp3_VIPR_ALG4_658130337_10155_10994_1_2013_10_20_USA_Swine_PEDV
		USA_Minnesota289_2014_nsp3_VIPR_ALG4_825144643_10145_10984_1_2014_04_02_USA_Swine_PEDV
		KGW_1_JPN_2014_nsp3_VIPR_ALG4_948549221_10132_10971_1_2014_04_Japan_Pig_PEDV
		PEDV_GER_L00855_K14_14_02_2014_nsp3_VIPR_ALG4_SNQ28081_1_10185_11024_1_NA_NA_Unknown_PEDV
		COL_Antioquia_2014_nsp3_VIPR_ALG4_QGQ60251_1_10173_11012_1_2015_04_27_Colombia_Swine_PEDV
		Italy_7239_2009_nsp3_VIPR_ALG4_960380158_10161_11000_1_2009_01_14_Italy_Swine_PEDV
		GDS16_nsp3_VIPR_ALG4_QCQ19941_1_10190_11029_1_2011_05_25_China_Swine_PEDV
		USA_Minnesota100_2013_nsp3_VIPR_ALG4_658130631_10155_10994_1_2013_12_14_USA_Swine_PEDV
		KNU_1601_nsp3_VIPR_ALG4_ASA69723_1_10190_11029_1_2016_03_South_Korea_Swine_PEDV
		PEDV_GER_L00901_V215_1978_nsp3_VIPR_ALG4_SNC44844_1_10183_11022_1_NA_NA_Unknown_PEDV
		COL_Cundinamarca_2014_nsp3_VIPR_ALG4_984943312_10168_11007_1_2014_05_02_Colombia_Swine_PEDV
		CHN_SH_2016_4_2016_nsp3_VIPR_ALG4_AVK78146_1_9898_10737_1_2016_01_20_China_Swine_PEDV
		USA_Minnesota79_2013_nsp3_VIPR_ALG4_658130512_10155_10994_1_2013_11_30_USA_Swine_PEDV
		HUN_5031_2016_nsp3_VIPR_ALG4_ASB30080_1_10178_11017_1_2016_03_01_Hungary_Swine_PEDV
		USA_Minnesota408_2014_nsp3_VIPR_ALG4_825144930_10142_10981_1_2014_08_28_USA_Swine_PEDV
		KNU_1807_nsp3_VIPR_ALG4_QBA57557_1_10169_11008_1_2018_03_South_Korea_Swine_PEDV
		PEDV_GER_L00927_K20_14_02_2014_nsp3_VIPR_ALG4_SNQ27984_1_10190_11029_1_NA_NA_Unknown_PEDV
		COL_ValledelCauca_2015_nsp3_VIPR_ALG4_QGQ60293_1_10168_11007_1_2017_07_01_Colombia_Swine_PEDV
		USA_Illinois259_2014_nsp3_VIPR_ALG4_825144552_10145_10984_1_2014_03_13_USA_Swine_PEDV
		KNU_1710_nsp3_VIPR_ALG4_AWM11497_1_10190_11029_1_2017_04_South_Korea_Swine_PEDV
		USA_Minnesota86_2013_nsp3_VIPR_ALG4_658130547_10155_10994_1_2013_12_07_USA_Swine_PEDV
		KUIDL_PED_2014_007_nsp3_VIPR_ALG4_614790571_9969_10808_1_2014_02_South_Korea_Swine_PEDV
		PEDV_GER_L00999_K06_15_07_2015_nsp3_VIPR_ALG4_SNQ27940_1_10166_11005_1_NA_NA_Unknown_PEDV
		CH_SCGA_2017_nsp3_VIPR_ALG4_AZL47191_1_10190_11029_1_2017_01_05_China_Swine_PEDV
		FKO_1_JPN_2014_nsp3_VIPR_ALG4_948549130_10132_10971_1_2014_03_Japan_Pig_PEDV
		USA_SouthDakota285_2014_nsp3_VIPR_ALG4_825144566_10145_10984_1_2014_04_02_USA_Swine_PEDV
		PC22A_P20_nsp3_VIPR_ALG4_APX55516_1_10181_11020_1_2013_10_01_USA_Swine_PEDV
		USA_OK10240_8_2017_nsp3_VIPR_ALG4_AVI57402_1_10190_11029_1_2017_02_07_USA_Swine_PEDV
		MN_nsp3_VIPR_ALG4_551485549_10190_11029_1_2013_06_19_USA_Swine_PEDV
		PEDV_GER_L01015_K01_15_05_2015_nsp3_VIPR_ALG4_SNQ28056_1_10190_11029_1_NA_NA_Unknown_PEDV
		GDS01_nsp3_VIPR_ALG4_815939790_10190_11029_1_2012_11_10_China_Swine_PEDV
		GDS52_nsp3_VIPR_ALG4_QCQ20067_1_10190_11029_1_2017_02_25_China_Swine_PEDV
		USA_Oklahoma477_2014_nsp3_VIPR_ALG4_825144888_10145_10984_1_2014_12_12_USA_Swine_PEDV
		USA_Texas128_2013_nsp3_VIPR_ALG4_658130673_10155_10994_1_2013_11_12_USA_Swine_PEDV
		PEDV_GER_L01018_K01_15_08_2015_nsp3_VIPR_ALG4_SNQ27907_1_10190_11029_1_NA_NA_Unknown_PEDV
		OH10123_14_nsp3_VIPR_ALG4_946969657_10190_11029_1_2014_04_22_USA_Swine_PEDV
		PEDV_GER_L01061_K07_15_03_2015_nsp3_VIPR_ALG4_SNT95658_1_10190_11029_1_NA_NA_Unknown_PEDV
		GDS08_nsp3_VIPR_ALG4_QCQ19935_1_10190_11029_1_2011_02_10_China_Swine_PEDV
		CH_HNZZ47_2016_nsp3_VIPR_ALG4_1111331903_10181_11020_1_2016_05_China_Swine_PEDV
		CHN_SH_2012_5_2012_nsp3_VIPR_ALG4_AVK78140_1_10190_11029_1_2012_02_21_China_Swine_PEDV
		PEDV_1453_Zaragoza_Tauste_nsp3_VIPR_ALG4_QKV43720_1_10155_10994_1_2014_04_24_Spain_Swine_PEDV
		USA_Minnesota402_2014_nsp3_VIPR_ALG4_825144454_10145_10984_1_2014_08_18_USA_Swine_PEDV
		PEDV_LNsy_nsp3_VIPR_ALG4_ATG31099_1_10190_11029_1_2015_03_02_China_Swine_PEDV
		CH_BJ11_2016_nsp3_VIPR_ALG4_AYP73644_1_10190_11029_1_2016_11_China_Unknown_PEDV
		Br1_87_nsp3_VIPR_ALG4_SNW64183_1_10190_11029_1_NA_NA_Unknown_PEDV
		YN15_nsp3_VIPR_ALG4_946526331_10190_11029_1_2013_10_05_China_Swine_PEDV
		GDS33_nsp3_VIPR_ALG4_QCQ19899_1_10190_11029_1_2014_07_28_China_Swine_PEDV
		PEDV_USA_Texas132_2015_nsp3_VIPR_ALG4_1034700865_10161_11000_1_2015_11_05_USA_Swine_PEDV
		PEDV_GER_L00857_K14_14_04_2014_nsp3_VIPR_ALG4_SNQ28009_1_10171_11010_1_NA_NA_Unknown_PEDV
		85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV
		PEDV_MEX_GTO_02_2016_nsp3_VIPR_ALG4_AVU05338_1_9996_10835_1_2016_07_19_Mexico_Swine_PEDV
		GDS22_nsp3_VIPR_ALG4_QCQ19833_1_10190_11029_1_2012_09_23_China_Swine_PEDV
		OKY_1_JPN_2014_nsp3_VIPR_ALG4_948549382_10132_10971_1_2014_03_Japan_Pig_PEDV
		USA_Illinois260_2014_nsp3_VIPR_ALG4_825144671_10145_10984_1_2014_03_14_USA_Swine_PEDV
		PEDV_H3_Barcelona_Vic_nsp3_VIPR_ALG4_QKV43846_1_10194_11033_1_2019_01_07_Spain_Swine_PEDV
		USA_Missouri164_2014_nsp3_VIPR_ALG4_825144804_10145_10984_1_2014_02_26_USA_Swine_PEDV
		USA_Minnesota61_2013_nsp3_VIPR_ALG4_658130729_10155_10994_1_2013_11_18_USA_Swine_PEDV
		PEDV_MEX_JAL_03_2017_nsp3_VIPR_ALG4_AVU05380_1_10020_10859_1_2017_02_10_Mexico_Swine_PEDV
		GDS28_nsp3_VIPR_ALG4_QCQ19857_1_10190_11029_1_2012_12_13_China_Swine_PEDV
		TC_Iowa106_PV39_P1_nsp3_VIPR_ALG4_684183346_10178_11017_1_2013_12_USA_Swine_PEDV
		USA_Minnesota379_2014_nsp3_VIPR_ALG4_825144881_10145_10984_1_2014_06_10_USA_Swine_PEDV
		PEDV_MEX_VER_02_2015_nsp3_VIPR_ALG4_AVU05485_1_10020_10859_1_2015_10_21_Mexico_Swine_PEDV
		USA_NorthCarolina40_2013_nsp3_VIPR_ALG4_658130316_10155_10994_1_2013_10_05_USA_Swine_PEDV
		PEDV_MEX_MICH_02_2015_nsp3_VIPR_ALG4_AVU05443_1_10020_10859_1_2015_03_20_Mexico_Swine_PEDV
		CH_TP_4_3_2018_nsp3_VIPR_ALG4_QCC26593_1_10192_11031_1_2018_China_Swine_PEDV
		USA_NC_2013_49469_nsp3_VIPR_ALG4_874010829_10190_11029_1_2013_12_10_USA_Swine_PEDV
		USA_Oklahoma38_2013_nsp3_VIPR_ALG4_658130302_10155_10994_1_2013_09_07_USA_Swine_PEDV
		USA_Minnesota85_2013_nsp3_VIPR_ALG4_658130540_10155_10994_1_2013_12_04_USA_Swine_PEDV
		SHXX1902_nsp3_VIPR_ALG4_QOC68599_1_10191_11030_1_2019_02_China_Swine_PEDV
		;
end;
begin trees;
	translate
		1	AH2012_12_nsp3_VIPR_ALG4_1020263108_10190_11029_1_2012_China_Swine_PEDV,
		2	CH_SCZY44_2017_nsp3_VIPR_ALG4_AZL47203_1_10190_11029_1_2017_09_09_China_Swine_PEDV,
		3	USA_NorthCarolina91_2013_nsp3_VIPR_ALG4_658130575_10155_10994_1_2013_12_08_USA_Swine_PEDV,
		4	OH8593_14_nsp3_VIPR_ALG4_946969666_10163_11002_1_2014_10_14_USA_Swine_PEDV,
		5	IBR_3_JPN_2014_nsp3_VIPR_ALG4_948549340_10132_10971_1_2014_04_Japan_Pig_PEDV,
		6	IBR_8_JPN_2014_nsp3_VIPR_ALG4_948549354_10132_10971_1_2014_05_Japan_Pig_PEDV,
		7	PEDV_1873_2_Segovia_nsp3_VIPR_ALG4_QKV43786_1_10194_11033_1_2016_09_23_Spain_Swine_PEDV,
		8	CH_TP_3_1_2018_nsp3_VIPR_ALG4_QCC26586_1_10190_11029_1_2018_China_Swine_PEDV,
		9	USA_Missouri93_2013_nsp3_VIPR_ALG4_658130589_10155_10994_1_2013_12_11_USA_Swine_PEDV,
		10	IWT_2_JPN_2014_nsp3_VIPR_ALG4_948549326_10132_10971_1_2014_04_Japan_Pig_PEDV,
		11	JS2008_nsp3_VIPR_ALG4_459357910_10166_11005_1_2008_China_Swine_PEDV,
		12	USA_OK10240_6_2017_nsp3_VIPR_ALG4_AVI57395_1_10190_11029_1_2017_02_07_USA_Swine_PEDV,
		13	PEDV_2098_1_Malaga_Casares_nsp3_VIPR_ALG4_QKV43816_1_10194_11033_1_2018_01_11_Spain_Swine_PEDV,
		14	USA_Minnesota71_2013_nsp3_VIPR_ALG4_658130736_10155_10994_1_2013_11_25_USA_Swine_PEDV,
		15	PEDV_LS_nsp3_VIPR_ALG4_761662564_10190_11029_1_2014_01_China_Swine_PEDV,
		16	KNU_1305_nsp3_VIPR_ALG4_659495322_10190_11029_1_2013_12_South_Korea_Swine_PEDV,
		17	JSX2014_nsp3_VIPR_ALG4_AZN28592_1_10190_11029_1_2014_China_Swine_PEDV,
		18	PEDV_AUSTRIA_L01062_M10_15_01_2015_nsp3_VIPR_ALG4_SNT95670_1_10168_11007_1_NA_NA_Unknown_PEDV,
		19	COL_Antioquia06285_2015_nsp3_VIPR_ALG4_QGQ60275_1_10182_11021_1_2015_05_20_Colombia_Swine_PEDV,
		20	CH_SXYL_2016_nsp3_VIPR_ALG4_ASY04642_1_10189_11028_1_2016_09_10_China_Swine_PEDV,
		21	CH_SCZG_2017_nsp3_VIPR_ALG4_AZL47197_1_10190_11029_1_2017_01_05_China_Swine_PEDV,
		22	USA_Iowa23_57_2013_nsp3_VIPR_ALG4_658130337_10155_10994_1_2013_10_20_USA_Swine_PEDV,
		23	USA_Minnesota289_2014_nsp3_VIPR_ALG4_825144643_10145_10984_1_2014_04_02_USA_Swine_PEDV,
		24	KGW_1_JPN_2014_nsp3_VIPR_ALG4_948549221_10132_10971_1_2014_04_Japan_Pig_PEDV,
		25	PEDV_GER_L00855_K14_14_02_2014_nsp3_VIPR_ALG4_SNQ28081_1_10185_11024_1_NA_NA_Unknown_PEDV,
		26	COL_Antioquia_2014_nsp3_VIPR_ALG4_QGQ60251_1_10173_11012_1_2015_04_27_Colombia_Swine_PEDV,
		27	Italy_7239_2009_nsp3_VIPR_ALG4_960380158_10161_11000_1_2009_01_14_Italy_Swine_PEDV,
		28	GDS16_nsp3_VIPR_ALG4_QCQ19941_1_10190_11029_1_2011_05_25_China_Swine_PEDV,
		29	USA_Minnesota100_2013_nsp3_VIPR_ALG4_658130631_10155_10994_1_2013_12_14_USA_Swine_PEDV,
		30	KNU_1601_nsp3_VIPR_ALG4_ASA69723_1_10190_11029_1_2016_03_South_Korea_Swine_PEDV,
		31	PEDV_GER_L00901_V215_1978_nsp3_VIPR_ALG4_SNC44844_1_10183_11022_1_NA_NA_Unknown_PEDV,
		32	COL_Cundinamarca_2014_nsp3_VIPR_ALG4_984943312_10168_11007_1_2014_05_02_Colombia_Swine_PEDV,
		33	CHN_SH_2016_4_2016_nsp3_VIPR_ALG4_AVK78146_1_9898_10737_1_2016_01_20_China_Swine_PEDV,
		34	USA_Minnesota79_2013_nsp3_VIPR_ALG4_658130512_10155_10994_1_2013_11_30_USA_Swine_PEDV,
		35	HUN_5031_2016_nsp3_VIPR_ALG4_ASB30080_1_10178_11017_1_2016_03_01_Hungary_Swine_PEDV,
		36	USA_Minnesota408_2014_nsp3_VIPR_ALG4_825144930_10142_10981_1_2014_08_28_USA_Swine_PEDV,
		37	KNU_1807_nsp3_VIPR_ALG4_QBA57557_1_10169_11008_1_2018_03_South_Korea_Swine_PEDV,
		38	PEDV_GER_L00927_K20_14_02_2014_nsp3_VIPR_ALG4_SNQ27984_1_10190_11029_1_NA_NA_Unknown_PEDV,
		39	COL_ValledelCauca_2015_nsp3_VIPR_ALG4_QGQ60293_1_10168_11007_1_2017_07_01_Colombia_Swine_PEDV,
		40	USA_Illinois259_2014_nsp3_VIPR_ALG4_825144552_10145_10984_1_2014_03_13_USA_Swine_PEDV,
		41	KNU_1710_nsp3_VIPR_ALG4_AWM11497_1_10190_11029_1_2017_04_South_Korea_Swine_PEDV,
		42	USA_Minnesota86_2013_nsp3_VIPR_ALG4_658130547_10155_10994_1_2013_12_07_USA_Swine_PEDV,
		43	KUIDL_PED_2014_007_nsp3_VIPR_ALG4_614790571_9969_10808_1_2014_02_South_Korea_Swine_PEDV,
		44	PEDV_GER_L00999_K06_15_07_2015_nsp3_VIPR_ALG4_SNQ27940_1_10166_11005_1_NA_NA_Unknown_PEDV,
		45	CH_SCGA_2017_nsp3_VIPR_ALG4_AZL47191_1_10190_11029_1_2017_01_05_China_Swine_PEDV,
		46	FKO_1_JPN_2014_nsp3_VIPR_ALG4_948549130_10132_10971_1_2014_03_Japan_Pig_PEDV,
		47	USA_SouthDakota285_2014_nsp3_VIPR_ALG4_825144566_10145_10984_1_2014_04_02_USA_Swine_PEDV,
		48	PC22A_P20_nsp3_VIPR_ALG4_APX55516_1_10181_11020_1_2013_10_01_USA_Swine_PEDV,
		49	USA_OK10240_8_2017_nsp3_VIPR_ALG4_AVI57402_1_10190_11029_1_2017_02_07_USA_Swine_PEDV,
		50	MN_nsp3_VIPR_ALG4_551485549_10190_11029_1_2013_06_19_USA_Swine_PEDV,
		51	PEDV_GER_L01015_K01_15_05_2015_nsp3_VIPR_ALG4_SNQ28056_1_10190_11029_1_NA_NA_Unknown_PEDV,
		52	GDS01_nsp3_VIPR_ALG4_815939790_10190_11029_1_2012_11_10_China_Swine_PEDV,
		53	GDS52_nsp3_VIPR_ALG4_QCQ20067_1_10190_11029_1_2017_02_25_China_Swine_PEDV,
		54	USA_Oklahoma477_2014_nsp3_VIPR_ALG4_825144888_10145_10984_1_2014_12_12_USA_Swine_PEDV,
		55	USA_Texas128_2013_nsp3_VIPR_ALG4_658130673_10155_10994_1_2013_11_12_USA_Swine_PEDV,
		56	PEDV_GER_L01018_K01_15_08_2015_nsp3_VIPR_ALG4_SNQ27907_1_10190_11029_1_NA_NA_Unknown_PEDV,
		57	OH10123_14_nsp3_VIPR_ALG4_946969657_10190_11029_1_2014_04_22_USA_Swine_PEDV,
		58	PEDV_GER_L01061_K07_15_03_2015_nsp3_VIPR_ALG4_SNT95658_1_10190_11029_1_NA_NA_Unknown_PEDV,
		59	GDS08_nsp3_VIPR_ALG4_QCQ19935_1_10190_11029_1_2011_02_10_China_Swine_PEDV,
		60	CH_HNZZ47_2016_nsp3_VIPR_ALG4_1111331903_10181_11020_1_2016_05_China_Swine_PEDV,
		61	CHN_SH_2012_5_2012_nsp3_VIPR_ALG4_AVK78140_1_10190_11029_1_2012_02_21_China_Swine_PEDV,
		62	PEDV_1453_Zaragoza_Tauste_nsp3_VIPR_ALG4_QKV43720_1_10155_10994_1_2014_04_24_Spain_Swine_PEDV,
		63	USA_Minnesota402_2014_nsp3_VIPR_ALG4_825144454_10145_10984_1_2014_08_18_USA_Swine_PEDV,
		64	PEDV_LNsy_nsp3_VIPR_ALG4_ATG31099_1_10190_11029_1_2015_03_02_China_Swine_PEDV,
		65	CH_BJ11_2016_nsp3_VIPR_ALG4_AYP73644_1_10190_11029_1_2016_11_China_Unknown_PEDV,
		66	Br1_87_nsp3_VIPR_ALG4_SNW64183_1_10190_11029_1_NA_NA_Unknown_PEDV,
		67	YN15_nsp3_VIPR_ALG4_946526331_10190_11029_1_2013_10_05_China_Swine_PEDV,
		68	GDS33_nsp3_VIPR_ALG4_QCQ19899_1_10190_11029_1_2014_07_28_China_Swine_PEDV,
		69	PEDV_USA_Texas132_2015_nsp3_VIPR_ALG4_1034700865_10161_11000_1_2015_11_05_USA_Swine_PEDV,
		70	PEDV_GER_L00857_K14_14_04_2014_nsp3_VIPR_ALG4_SNQ28009_1_10171_11010_1_NA_NA_Unknown_PEDV,
		71	85_7_nsp3_VIPR_ALG4_AST13214_1_10177_11016_1_2013_05_China_Swine_PEDV,
		72	PEDV_MEX_GTO_02_2016_nsp3_VIPR_ALG4_AVU05338_1_9996_10835_1_2016_07_19_Mexico_Swine_PEDV,
		73	GDS22_nsp3_VIPR_ALG4_QCQ19833_1_10190_11029_1_2012_09_23_China_Swine_PEDV,
		74	OKY_1_JPN_2014_nsp3_VIPR_ALG4_948549382_10132_10971_1_2014_03_Japan_Pig_PEDV,
		75	USA_Illinois260_2014_nsp3_VIPR_ALG4_825144671_10145_10984_1_2014_03_14_USA_Swine_PEDV,
		76	PEDV_H3_Barcelona_Vic_nsp3_VIPR_ALG4_QKV43846_1_10194_11033_1_2019_01_07_Spain_Swine_PEDV,
		77	USA_Missouri164_2014_nsp3_VIPR_ALG4_825144804_10145_10984_1_2014_02_26_USA_Swine_PEDV,
		78	USA_Minnesota61_2013_nsp3_VIPR_ALG4_658130729_10155_10994_1_2013_11_18_USA_Swine_PEDV,
		79	PEDV_MEX_JAL_03_2017_nsp3_VIPR_ALG4_AVU05380_1_10020_10859_1_2017_02_10_Mexico_Swine_PEDV,
		80	GDS28_nsp3_VIPR_ALG4_QCQ19857_1_10190_11029_1_2012_12_13_China_Swine_PEDV,
		81	TC_Iowa106_PV39_P1_nsp3_VIPR_ALG4_684183346_10178_11017_1_2013_12_USA_Swine_PEDV,
		82	USA_Minnesota379_2014_nsp3_VIPR_ALG4_825144881_10145_10984_1_2014_06_10_USA_Swine_PEDV,
		83	PEDV_MEX_VER_02_2015_nsp3_VIPR_ALG4_AVU05485_1_10020_10859_1_2015_10_21_Mexico_Swine_PEDV,
		84	USA_NorthCarolina40_2013_nsp3_VIPR_ALG4_658130316_10155_10994_1_2013_10_05_USA_Swine_PEDV,
		85	PEDV_MEX_MICH_02_2015_nsp3_VIPR_ALG4_AVU05443_1_10020_10859_1_2015_03_20_Mexico_Swine_PEDV,
		86	CH_TP_4_3_2018_nsp3_VIPR_ALG4_QCC26593_1_10192_11031_1_2018_China_Swine_PEDV,
		87	USA_NC_2013_49469_nsp3_VIPR_ALG4_874010829_10190_11029_1_2013_12_10_USA_Swine_PEDV,
		88	USA_Oklahoma38_2013_nsp3_VIPR_ALG4_658130302_10155_10994_1_2013_09_07_USA_Swine_PEDV,
		89	USA_Minnesota85_2013_nsp3_VIPR_ALG4_658130540_10155_10994_1_2013_12_04_USA_Swine_PEDV,
		90	SHXX1902_nsp3_VIPR_ALG4_QOC68599_1_10191_11030_1_2019_02_China_Swine_PEDV
		;
   [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 = (1:3.948962e-04,59:9.376269e-04,((((2:4.071735e-04,(3:4.995657e-04,87:4.779731e-04)0.806:9.665337e-04,4:9.324954e-04,5:3.963600e-04,6:9.456058e-04,((7:1.477583e-03,13:4.111358e-04,76:4.033344e-04)0.895:1.572911e-03,18:3.884986e-04,25:4.083604e-04,35:9.651958e-04,(36:3.916035e-04,48:3.866347e-04)1.000:2.094824e-03,38:3.915562e-04,44:4.114955e-04,51:3.569894e-04,56:4.066940e-04,58:4.252413e-04,62:3.834179e-04,65:2.942984e-03,70:3.860754e-04)0.641:1.300204e-03,(8:3.854016e-04,86:4.011896e-04)1.000:1.504745e-03,9:3.933034e-04,10:3.849953e-04,(12:4.807025e-04,49:4.597118e-04)0.821:9.413578e-04,14:3.779335e-04,15:5.429557e-03,16:3.936581e-04,17:9.278254e-04,19:3.572715e-04,20:9.681522e-04,21:3.943536e-04,22:3.781737e-04,23:3.662437e-04,24:4.137244e-04,26:3.773250e-04,29:4.091833e-04,30:2.551111e-03,32:4.121677e-04,(33:4.701727e-04,68:1.023135e-03)0.816:9.703472e-04,34:4.021788e-04,37:4.173519e-03,39:3.700102e-04,40:3.838888e-04,41:2.124005e-03,42:3.797560e-04,43:4.006853e-04,45:3.747153e-04,46:4.006270e-04,47:3.930011e-04,50:3.726686e-04,(52:2.558332e-03,67:5.968388e-04)0.571:9.244342e-04,54:9.559454e-04,55:3.949928e-04,57:3.522206e-04,60:2.579187e-03,61:9.992470e-04,63:4.127285e-04,64:3.892728e-04,69:3.900521e-04,72:2.122859e-03,73:3.998513e-04,74:3.940075e-04,75:3.624468e-04,77:9.216368e-04,78:3.888031e-04,79:1.506571e-03,80:1.491512e-03,81:3.913063e-04,82:3.869816e-04,83:9.509172e-04,84:9.254773e-04,85:4.086675e-04,88:4.188917e-04,89:3.999735e-04,90:1.516563e-03)0.997:2.486664e-03,(11:5.425506e-03,((31:4.013955e-04,66:3.651726e-04)0.905:9.403654e-04,71:1.023916e-03)1.000:8.148724e-03)1.000:2.590801e-03,27:6.087324e-03)1.000:2.272133e-03,53:1.014532e-02)1.000:3.288559e-03,28:5.322361e-04)0.941:1.392454e-03);

   [Note: This tree contains information only on the topology
          and branch lengths (median of the posterior probability density).]
   tree con_50_majrule = (1:3.948962e-04,59:9.376269e-04,((((2:4.071735e-04,(3:4.995657e-04,87:4.779731e-04):9.665337e-04,4:9.324954e-04,5:3.963600e-04,6:9.456058e-04,((7:1.477583e-03,13:4.111358e-04,76:4.033344e-04):1.572911e-03,18:3.884986e-04,25:4.083604e-04,35:9.651958e-04,(36:3.916035e-04,48:3.866347e-04):2.094824e-03,38:3.915562e-04,44:4.114955e-04,51:3.569894e-04,56:4.066940e-04,58:4.252413e-04,62:3.834179e-04,65:2.942984e-03,70:3.860754e-04):1.300204e-03,(8:3.854016e-04,86:4.011896e-04):1.504745e-03,9:3.933034e-04,10:3.849953e-04,(12:4.807025e-04,49:4.597118e-04):9.413578e-04,14:3.779335e-04,15:5.429557e-03,16:3.936581e-04,17:9.278254e-04,19:3.572715e-04,20:9.681522e-04,21:3.943536e-04,22:3.781737e-04,23:3.662437e-04,24:4.137244e-04,26:3.773250e-04,29:4.091833e-04,30:2.551111e-03,32:4.121677e-04,(33:4.701727e-04,68:1.023135e-03):9.703472e-04,34:4.021788e-04,37:4.173519e-03,39:3.700102e-04,40:3.838888e-04,41:2.124005e-03,42:3.797560e-04,43:4.006853e-04,45:3.747153e-04,46:4.006270e-04,47:3.930011e-04,50:3.726686e-04,(52:2.558332e-03,67:5.968388e-04):9.244342e-04,54:9.559454e-04,55:3.949928e-04,57:3.522206e-04,60:2.579187e-03,61:9.992470e-04,63:4.127285e-04,64:3.892728e-04,69:3.900521e-04,72:2.122859e-03,73:3.998513e-04,74:3.940075e-04,75:3.624468e-04,77:9.216368e-04,78:3.888031e-04,79:1.506571e-03,80:1.491512e-03,81:3.913063e-04,82:3.869816e-04,83:9.509172e-04,84:9.254773e-04,85:4.086675e-04,88:4.188917e-04,89:3.999735e-04,90:1.516563e-03):2.486664e-03,(11:5.425506e-03,((31:4.013955e-04,66:3.651726e-04):9.403654e-04,71:1.023916e-03):8.148724e-03):2.590801e-03,27:6.087324e-03):2.272133e-03,53:1.014532e-02):3.288559e-03,28:5.322361e-04):1.392454e-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      -1532.72         -1558.23
        2      -1532.53         -1563.14
      --------------------------------------
      TOTAL    -1532.62         -1562.45
      --------------------------------------


      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}         0.082739    0.000170    0.058873    0.108173    0.081693   1366.45   1430.87    1.001
      r(A<->C){all}   0.138947    0.002694    0.049481    0.244073    0.133626    467.40    499.87    1.000
      r(A<->G){all}   0.206684    0.003643    0.100408    0.328648    0.203263    412.69    440.44    1.001
      r(A<->T){all}   0.021244    0.000259    0.000112    0.052659    0.017624    736.04    764.58    1.000
      r(C<->G){all}   0.022645    0.000482    0.000028    0.066081    0.016052    588.27    622.46    1.001
      r(C<->T){all}   0.522248    0.004724    0.388374    0.658400    0.523663    566.60    630.99    1.000
      r(G<->T){all}   0.088232    0.000960    0.033792    0.150853    0.084717    507.55    643.64    1.000
      pi(A){all}      0.199486    0.000191    0.171021    0.224560    0.199188    847.72   1037.71    1.001
      pi(C){all}      0.181248    0.000167    0.156598    0.205652    0.181102   1171.41   1249.97    1.000
      pi(G){all}      0.214315    0.000188    0.187417    0.241479    0.214298    968.45   1047.88    1.000
      pi(T){all}      0.404951    0.000270    0.373708    0.437977    0.405219   1027.49   1097.17    1.001
      alpha{1,2}      0.389585    0.365892    0.000105    1.494356    0.185571    624.66    800.82    1.000
      alpha{3}        1.839187    1.473654    0.181159    4.345382    1.560764   1070.84   1219.18    1.000
      pinvar{all}     0.325976    0.030697    0.000069    0.602949    0.331244    793.16    803.23    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.
     /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):***************** 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: `(C14,C117,((((C65,(C598,C591),C287,C189,C195,((C325,C331,C377),C338,C344,C183,(C552,C303),C356,C362,C368,C369,C374,C313,C34,C347),(C71,C70),C589,C203,(C599,C600),C565,C381,C224,C211,C81,C68,C63,C504,C543,C223,C87,C528,C235,C93,(C31,C141),C571,C247,C99,C482,C243,C576,C259,C60,C105,C620,C271,(C111,C641),C619,C624,C283,C52,C32,C551,C380,C417,C385,C129,C291,C483,C583,C559,C391,C135,C441,C549,C407,C595,C397,C615,C575,C437),(C207,((C350,C27),C4)),C206),C159),C123))`

>Would you like to use it (y/n)? 

>Loaded a multiple sequence alignment with **90** sequences, **280** codons, and **1** partitions from `/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.result.1/LZW_nsp3_VIPR_ALG4_672096717_10190_11029_1_2012_02_China_Unknown_PEDV.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) = -2151.92, AIC-c =  4530.17 (113 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 :    0.191

### 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 =  0.357
* Computing conditional site likelihoods on a 20 x 20 rate grid

### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
	* Dirichlet alpha  : 0.5

### Tabulating site-level results
|     Codon      |   Partition    |     alpha      |      beta      |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
|      135       |       1        |        0.739   |        6.485   |       Pos. posterior = 0.9564       |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these,  0.04 are expected to be false positives (95% confidence interval of 0-1 )
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken

#
### General parameters ###
#

# The maximum number of sequences to use for the master file
sequence_limit=90

# The random seed
random_seed=3976763

#
### Alignment ###
#

# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle

# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3

#
### MrBayes ###
#

# Number of iterations in MrBayes
mrbayes_generations=1000000

# MrBayes burnin
mrbayes_burnin=2500

#
### FUBAR ###
#

# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90

# The number of FUBAR runs
fubar_runs=1

#
### codeML ###
#

# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30

# The number of CodeML runs
codeml_runs=1

# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8

#
### OmegaMap ###
#

# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90

# The number of OmegaMap runs
omegamap_runs=1

# The number of OmegaMap iterations
omegamap_iterations=2500