--- 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 -1688.12 -1715.08 2 -1689.58 -1718.83 -------------------------------------- TOTAL -1688.60 -1718.16 -------------------------------------- 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} 0.120030 0.000253 0.088427 0.149303 0.119003 1024.47 1189.67 1.000 r(A<->C){all} 0.018073 0.000301 0.000003 0.052427 0.013106 487.71 534.06 1.000 r(A<->G){all} 0.204244 0.002232 0.117116 0.297482 0.200120 534.16 578.09 1.000 r(A<->T){all} 0.038181 0.000219 0.012680 0.067539 0.036179 827.33 902.96 1.003 r(C<->G){all} 0.023248 0.000544 0.000005 0.069301 0.016036 582.42 638.27 1.003 r(C<->T){all} 0.628434 0.003234 0.517576 0.734594 0.630819 589.07 625.89 1.001 r(G<->T){all} 0.087819 0.000650 0.038621 0.135669 0.085568 772.95 830.22 1.000 pi(A){all} 0.251390 0.000203 0.222291 0.277740 0.251077 1152.82 1166.98 1.000 pi(C){all} 0.124868 0.000115 0.104527 0.145533 0.124464 1033.74 1089.21 1.000 pi(G){all} 0.197673 0.000169 0.174426 0.224119 0.197007 1118.39 1205.53 1.000 pi(T){all} 0.426070 0.000256 0.396225 0.458055 0.426005 1025.29 1138.20 1.001 alpha{1,2} 0.178722 0.062543 0.000047 0.530809 0.110128 1077.44 1123.65 1.000 alpha{3} 2.055394 1.394859 0.315402 4.359189 1.829020 1174.67 1177.48 1.000 pinvar{all} 0.230526 0.018712 0.000432 0.470827 0.220687 1031.33 1112.79 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 Fri Nov 18 14:40:18 GMT 2022 -- -- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result-- -- Starting log on Fri Nov 18 14:58:29 GMT 2022 -- -- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result-- -- Starting log on Fri Nov 18 14:40:18 GMT 2022 -- -- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result-- -- Starting log on Sat Nov 19 03:30:25 GMT 2022 -- -- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/fubar,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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 861 characters Missing data coded as ? Data matrix is interleaved Data is Dna Gaps coded as - Matching characters coded as . Taxon 1 -> C4 Taxon 2 -> C216 Taxon 3 -> C7 Taxon 4 -> C53 Taxon 5 -> C83 Taxon 6 -> C113 Taxon 7 -> C148 Taxon 8 -> C173 Taxon 9 -> C197 Taxon 10 -> C221 Taxon 11 -> C242 Taxon 12 -> C189 Taxon 13 -> C258 Taxon 14 -> C11 Taxon 15 -> C31 Taxon 16 -> C36 Taxon 17 -> C42 Taxon 18 -> C50 Taxon 19 -> C57 Taxon 20 -> C61 Taxon 21 -> C67 Taxon 22 -> C80 Taxon 23 -> C82 Taxon 24 -> C85 Taxon 25 -> C91 Taxon 26 -> C99 Taxon 27 -> C106 Taxon 28 -> C110 Taxon 29 -> C116 Taxon 30 -> C129 Taxon 31 -> C134 Taxon 32 -> C140 Taxon 33 -> C15 Taxon 34 -> C225 Taxon 35 -> C155 Taxon 36 -> C159 Taxon 37 -> C165 Taxon 38 -> C6 Taxon 39 -> C183 Taxon 40 -> C2 Taxon 41 -> C17 Taxon 42 -> C204 Taxon 43 -> C208 Taxon 44 -> C214 Taxon 45 -> C78 Taxon 46 -> C227 Taxon 47 -> C232 Taxon 48 -> C238 Taxon 49 -> C246 Taxon 50 -> C253 Taxon 51 -> C257 Taxon 52 -> C263 Taxon 53 -> C276 Taxon 54 -> C281 Taxon 55 -> C60 Taxon 56 -> C178 Taxon 57 -> C32 Taxon 58 -> C139 Taxon 59 -> C71 Taxon 60 -> C115 Taxon 61 -> C63 Taxon 62 -> C122 Taxon 63 -> C121 Taxon 64 -> C66 Taxon 65 -> C123 Taxon 66 -> C124 Taxon 67 -> C274 Taxon 68 -> C65 Taxon 69 -> C70 Taxon 70 -> C23 Taxon 71 -> C128 Taxon 72 -> C73 Taxon 73 -> C130 Taxon 74 -> C131 Taxon 75 -> C72 Taxon 76 -> C77 Taxon 77 -> C136 Taxon 78 -> C93 Taxon 79 -> C135 Taxon 80 -> C29 Taxon 81 -> C137 Taxon 82 -> C138 Taxon 83 -> C79 Taxon 84 -> C84 Taxon 85 -> C143 Taxon 86 -> C142 Taxon 87 -> C87 Taxon 88 -> C144 Taxon 89 -> C156 Taxon 90 -> C145 Successfully read matrix Setting default partition (does not divide up characters) Setting model defaults Seed (for generating default start values) = 1668828627 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) = 358967381 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 = 8339322321 Seed = 1492137210 Swapseed = 1668828627 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 25 unique site patterns Division 2 has 23 unique site patterns Division 3 has 76 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 -- -7583.508724 -- 149.597508 Chain 2 -- -7910.020406 -- 149.597508 Chain 3 -- -7761.363992 -- 149.597508 Chain 4 -- -8282.863791 -- 149.597508 Initial log likelihoods and log prior probs for run 2: Chain 1 -- -8128.819981 -- 149.597508 Chain 2 -- -7578.727896 -- 149.597508 Chain 3 -- -7934.785021 -- 149.597508 Chain 4 -- -7817.347946 -- 149.597508 Using a relative burnin of 25.0 % for diagnostics Chain results (1000000 generations requested): 0 -- [-7583.509] (-7910.020) (-7761.364) (-8282.864) * [-8128.820] (-7578.728) (-7934.785) (-7817.348) 1000 -- (-4401.019) (-4524.326) (-4463.691) [-3951.480] * (-4140.195) (-4212.518) (-4645.776) [-3998.530] -- 0:49:57 2000 -- (-3326.515) (-3437.262) (-3444.618) [-3248.812] * (-3271.541) (-3519.283) (-3300.842) [-3070.019] -- 0:49:54 3000 -- (-3011.332) [-2836.729] (-3056.309) (-2896.969) * (-2885.752) (-3107.928) (-2867.797) [-2790.034] -- 0:44:18 4000 -- (-2868.763) (-2728.982) (-2783.993) [-2601.225] * [-2654.827] (-2810.241) (-2668.505) (-2675.844) -- 0:41:30 5000 -- (-2615.494) (-2587.481) (-2705.309) [-2506.804] * (-2551.034) (-2600.686) (-2600.851) [-2553.482] -- 0:43:07 Average standard deviation of split frequencies: 0.090755 6000 -- (-2537.720) (-2474.454) (-2578.947) [-2456.902] * (-2507.227) (-2534.854) (-2534.753) [-2489.556] -- 0:41:25 7000 -- (-2499.354) [-2432.649] (-2446.402) (-2459.604) * (-2480.655) (-2486.006) (-2514.008) [-2446.573] -- 0:40:11 8000 -- (-2480.524) [-2415.052] (-2451.827) (-2450.009) * (-2481.914) (-2469.462) (-2469.121) [-2408.177] -- 0:39:16 9000 -- (-2449.022) [-2423.895] (-2449.322) (-2431.558) * (-2462.461) (-2459.559) (-2454.252) [-2399.315] -- 0:38:32 10000 -- (-2482.425) (-2423.743) (-2437.249) [-2409.398] * (-2462.575) (-2425.779) (-2447.406) [-2394.796] -- 0:39:36 Average standard deviation of split frequencies: 0.109446 11000 -- (-2477.915) (-2416.427) (-2415.817) [-2418.212] * (-2464.925) (-2433.306) (-2466.985) [-2392.502] -- 0:38:57 12000 -- (-2428.898) [-2414.092] (-2424.369) (-2411.212) * (-2470.139) (-2398.887) (-2444.108) [-2399.878] -- 0:38:25 13000 -- [-2387.366] (-2450.787) (-2406.852) (-2405.598) * (-2430.520) (-2385.818) (-2489.367) [-2386.270] -- 0:37:57 14000 -- (-2414.509) (-2442.673) [-2399.261] (-2394.258) * (-2452.549) [-2392.746] (-2452.820) (-2397.969) -- 0:38:44 15000 -- [-2400.883] (-2453.899) (-2410.469) (-2398.796) * (-2438.403) [-2386.113] (-2465.834) (-2406.005) -- 0:38:18 Average standard deviation of split frequencies: 0.101732 16000 -- (-2417.185) (-2436.528) [-2391.170] (-2402.290) * (-2421.624) (-2412.028) (-2452.541) [-2389.406] -- 0:37:55 17000 -- (-2407.037) (-2453.831) [-2385.607] (-2399.078) * (-2430.800) (-2392.511) (-2453.984) [-2376.124] -- 0:38:32 18000 -- (-2432.316) (-2448.583) (-2396.021) [-2416.496] * (-2449.910) [-2380.599] (-2451.413) (-2387.257) -- 0:38:11 19000 -- (-2447.501) (-2433.342) [-2397.554] (-2390.965) * (-2436.312) (-2387.658) (-2437.390) [-2372.425] -- 0:37:51 20000 -- (-2482.641) (-2407.651) [-2393.168] (-2418.679) * (-2436.635) [-2401.180] (-2428.714) (-2387.400) -- 0:38:23 Average standard deviation of split frequencies: 0.095650 21000 -- (-2446.200) [-2405.380] (-2391.080) (-2415.272) * (-2448.153) [-2402.958] (-2443.968) (-2393.883) -- 0:38:04 22000 -- (-2461.744) (-2404.932) [-2378.887] (-2416.406) * (-2414.613) (-2403.312) (-2447.486) [-2387.976] -- 0:37:47 23000 -- (-2435.209) [-2403.979] (-2371.688) (-2432.031) * [-2404.206] (-2411.232) (-2422.598) (-2402.069) -- 0:37:31 24000 -- (-2428.039) (-2397.194) [-2387.277] (-2395.721) * (-2407.478) [-2382.853] (-2429.085) (-2405.508) -- 0:37:57 25000 -- (-2424.720) (-2410.227) [-2381.041] (-2418.270) * (-2429.459) [-2387.957] (-2427.705) (-2399.263) -- 0:37:42 Average standard deviation of split frequencies: 0.068678 26000 -- (-2406.713) (-2423.200) [-2385.811] (-2437.502) * (-2425.903) (-2404.144) [-2403.892] (-2419.406) -- 0:37:27 27000 -- [-2397.389] (-2410.136) (-2400.207) (-2444.239) * [-2389.605] (-2430.611) (-2413.614) (-2407.702) -- 0:37:14 28000 -- [-2391.319] (-2384.276) (-2387.665) (-2459.219) * [-2397.627] (-2436.543) (-2415.221) (-2423.620) -- 0:37:36 29000 -- (-2402.196) [-2399.166] (-2399.982) (-2430.626) * [-2400.066] (-2419.502) (-2413.420) (-2410.222) -- 0:37:23 30000 -- [-2387.693] (-2419.972) (-2450.601) (-2409.147) * [-2396.593] (-2403.959) (-2409.950) (-2433.882) -- 0:37:11 Average standard deviation of split frequencies: 0.064970 31000 -- (-2384.518) (-2417.721) (-2439.546) [-2396.100] * [-2382.929] (-2400.391) (-2416.106) (-2420.655) -- 0:37:30 32000 -- [-2386.177] (-2426.622) (-2455.601) (-2407.960) * (-2396.133) [-2398.184] (-2414.838) (-2432.876) -- 0:37:18 33000 -- [-2380.047] (-2448.583) (-2416.338) (-2395.707) * (-2411.281) (-2406.620) [-2401.253] (-2447.456) -- 0:37:07 34000 -- (-2399.811) (-2443.364) (-2413.250) [-2382.870] * (-2417.148) (-2410.020) [-2392.807] (-2433.958) -- 0:36:56 35000 -- (-2408.602) (-2442.588) (-2432.457) [-2390.728] * (-2439.723) (-2424.932) [-2388.426] (-2408.581) -- 0:37:13 Average standard deviation of split frequencies: 0.061560 36000 -- (-2415.508) (-2399.389) (-2435.115) [-2378.673] * (-2445.454) (-2438.701) [-2402.517] (-2420.939) -- 0:37:02 37000 -- (-2450.832) (-2393.682) (-2399.760) [-2382.485] * (-2415.655) (-2440.661) [-2392.857] (-2434.371) -- 0:36:52 38000 -- (-2439.322) (-2405.256) (-2407.308) [-2390.991] * (-2411.111) (-2445.717) [-2375.050] (-2454.994) -- 0:36:42 39000 -- (-2443.211) (-2407.151) (-2406.992) [-2381.055] * (-2423.112) (-2469.190) [-2382.805] (-2407.652) -- 0:36:57 40000 -- (-2446.220) (-2401.156) (-2374.450) [-2387.804] * (-2402.098) (-2454.303) [-2395.282] (-2430.343) -- 0:36:48 Average standard deviation of split frequencies: 0.054422 41000 -- (-2483.225) (-2401.844) [-2386.596] (-2422.900) * [-2380.708] (-2443.321) (-2388.670) (-2412.594) -- 0:36:38 42000 -- (-2465.025) (-2412.368) [-2406.198] (-2414.062) * [-2376.869] (-2429.259) (-2391.945) (-2414.593) -- 0:36:29 43000 -- (-2426.830) [-2386.834] (-2414.435) (-2389.460) * (-2377.318) (-2440.366) [-2384.223] (-2401.559) -- 0:36:43 44000 -- (-2463.377) (-2395.192) (-2431.682) [-2398.467] * (-2397.128) (-2429.248) [-2392.960] (-2420.856) -- 0:36:34 45000 -- (-2475.805) (-2398.450) (-2439.619) [-2423.964] * (-2396.594) (-2420.708) (-2407.307) [-2390.607] -- 0:36:25 Average standard deviation of split frequencies: 0.046465 46000 -- (-2464.360) [-2389.940] (-2434.218) (-2411.457) * [-2397.805] (-2407.171) (-2420.913) (-2392.396) -- 0:36:17 47000 -- (-2467.772) [-2389.823] (-2463.618) (-2416.376) * [-2396.042] (-2411.777) (-2421.437) (-2386.395) -- 0:36:09 48000 -- (-2433.404) [-2373.843] (-2429.194) (-2418.112) * [-2401.838] (-2416.865) (-2408.403) (-2393.292) -- 0:36:21 49000 -- (-2434.943) [-2379.107] (-2428.545) (-2404.861) * [-2399.519] (-2444.968) (-2401.585) (-2419.147) -- 0:36:13 50000 -- (-2413.321) [-2393.582] (-2451.637) (-2419.704) * [-2380.699] (-2431.289) (-2405.803) (-2400.454) -- 0:36:06 Average standard deviation of split frequencies: 0.040837 51000 -- (-2399.544) [-2403.310] (-2413.963) (-2449.044) * [-2394.612] (-2431.259) (-2399.825) (-2391.449) -- 0:36:17 52000 -- (-2419.766) [-2406.200] (-2404.638) (-2412.360) * [-2398.263] (-2418.626) (-2422.685) (-2394.684) -- 0:36:09 53000 -- (-2412.095) [-2410.018] (-2428.848) (-2413.501) * [-2392.128] (-2423.735) (-2414.150) (-2387.660) -- 0:36:02 54000 -- (-2409.803) [-2391.029] (-2411.289) (-2419.525) * (-2402.632) (-2426.617) (-2419.677) [-2393.687] -- 0:35:54 55000 -- [-2399.503] (-2402.834) (-2447.387) (-2423.702) * [-2388.481] (-2448.084) (-2402.289) (-2405.071) -- 0:36:04 Average standard deviation of split frequencies: 0.037425 56000 -- [-2402.908] (-2402.188) (-2420.068) (-2457.198) * (-2400.618) (-2445.043) [-2396.736] (-2410.776) -- 0:35:57 57000 -- (-2406.629) [-2386.446] (-2428.614) (-2434.564) * (-2405.157) (-2431.247) (-2397.046) [-2391.312] -- 0:35:50 58000 -- (-2410.202) [-2389.463] (-2430.653) (-2462.222) * (-2414.065) (-2431.165) [-2400.506] (-2399.514) -- 0:35:43 59000 -- (-2408.056) [-2391.667] (-2425.228) (-2466.120) * [-2400.708] (-2422.625) (-2400.126) (-2438.725) -- 0:35:53 60000 -- (-2426.432) [-2388.373] (-2403.533) (-2436.602) * [-2389.855] (-2453.755) (-2415.650) (-2430.104) -- 0:35:46 Average standard deviation of split frequencies: 0.035097 61000 -- (-2405.802) [-2382.295] (-2414.075) (-2448.411) * [-2397.032] (-2443.272) (-2415.702) (-2412.391) -- 0:35:39 62000 -- (-2406.156) [-2377.290] (-2434.853) (-2465.230) * [-2383.359] (-2442.248) (-2407.041) (-2438.383) -- 0:35:48 63000 -- (-2395.342) [-2393.391] (-2425.503) (-2455.419) * [-2389.479] (-2431.738) (-2424.637) (-2411.552) -- 0:35:41 64000 -- (-2388.836) [-2415.899] (-2430.488) (-2434.664) * [-2390.722] (-2407.171) (-2456.951) (-2421.989) -- 0:35:35 65000 -- [-2394.220] (-2397.698) (-2437.875) (-2424.026) * [-2391.538] (-2408.799) (-2486.990) (-2416.178) -- 0:35:43 Average standard deviation of split frequencies: 0.034410 66000 -- [-2402.701] (-2402.987) (-2433.573) (-2414.148) * [-2384.757] (-2435.764) (-2448.177) (-2413.275) -- 0:35:36 67000 -- [-2399.053] (-2447.299) (-2405.161) (-2422.724) * [-2382.256] (-2443.533) (-2444.113) (-2404.491) -- 0:35:30 68000 -- [-2387.729] (-2420.311) (-2432.516) (-2398.327) * [-2377.907] (-2454.430) (-2410.256) (-2408.347) -- 0:35:38 69000 -- (-2391.440) (-2406.306) (-2446.826) [-2397.482] * [-2378.552] (-2457.147) (-2413.981) (-2398.672) -- 0:35:31 70000 -- [-2384.224] (-2412.927) (-2421.381) (-2421.920) * (-2388.995) (-2472.232) (-2413.125) [-2405.789] -- 0:35:25 Average standard deviation of split frequencies: 0.031261 71000 -- [-2402.579] (-2407.380) (-2407.477) (-2415.678) * (-2374.593) (-2440.628) [-2394.577] (-2404.262) -- 0:35:32 72000 -- (-2404.740) [-2399.747] (-2414.389) (-2426.909) * (-2387.961) (-2467.133) [-2394.244] (-2404.517) -- 0:35:26 73000 -- [-2397.856] (-2397.676) (-2429.095) (-2428.558) * (-2400.670) (-2445.029) [-2391.438] (-2403.241) -- 0:35:20 74000 -- [-2407.581] (-2383.791) (-2455.277) (-2445.858) * [-2385.226] (-2438.598) (-2392.551) (-2415.940) -- 0:35:14 75000 -- (-2411.964) [-2381.043] (-2464.859) (-2420.117) * (-2409.266) (-2450.737) [-2389.590] (-2420.407) -- 0:35:21 Average standard deviation of split frequencies: 0.031100 76000 -- (-2401.539) [-2385.883] (-2424.394) (-2409.742) * (-2404.497) (-2464.445) [-2392.136] (-2409.856) -- 0:35:15 77000 -- [-2379.140] (-2397.605) (-2426.427) (-2416.397) * (-2402.464) (-2456.351) [-2394.855] (-2412.711) -- 0:35:21 78000 -- [-2380.420] (-2384.993) (-2447.476) (-2430.857) * (-2415.912) (-2480.273) [-2389.195] (-2408.181) -- 0:35:15 79000 -- [-2384.547] (-2390.214) (-2433.657) (-2426.429) * (-2408.683) (-2452.280) [-2381.932] (-2409.750) -- 0:35:10 80000 -- [-2382.289] (-2416.619) (-2438.103) (-2418.687) * (-2400.917) (-2435.591) [-2406.241] (-2418.261) -- 0:35:04 Average standard deviation of split frequencies: 0.031483 81000 -- [-2384.135] (-2417.789) (-2425.413) (-2412.305) * [-2386.049] (-2442.374) (-2403.148) (-2437.148) -- 0:34:58 82000 -- (-2403.645) (-2425.211) (-2397.684) [-2410.407] * [-2382.167] (-2426.705) (-2409.574) (-2443.724) -- 0:35:04 83000 -- (-2403.608) (-2425.487) (-2397.413) [-2378.532] * [-2372.862] (-2424.956) (-2405.629) (-2450.655) -- 0:34:59 84000 -- (-2390.092) (-2425.085) (-2414.241) [-2399.717] * [-2389.774] (-2419.506) (-2402.034) (-2453.254) -- 0:34:53 85000 -- [-2387.915] (-2408.604) (-2451.688) (-2405.579) * (-2381.191) (-2409.583) [-2410.672] (-2462.685) -- 0:34:48 Average standard deviation of split frequencies: 0.030111 86000 -- [-2401.218] (-2405.526) (-2417.368) (-2434.374) * (-2382.428) [-2396.043] (-2402.954) (-2460.980) -- 0:34:53 87000 -- [-2378.661] (-2415.743) (-2416.135) (-2437.950) * [-2387.267] (-2404.942) (-2400.354) (-2444.121) -- 0:34:48 88000 -- [-2385.675] (-2445.093) (-2386.598) (-2411.411) * (-2386.320) [-2387.135] (-2411.199) (-2480.447) -- 0:34:43 89000 -- [-2384.303] (-2437.981) (-2400.464) (-2413.999) * (-2387.518) [-2394.390] (-2416.708) (-2455.247) -- 0:34:37 90000 -- [-2377.115] (-2448.737) (-2393.891) (-2401.991) * (-2399.276) [-2377.704] (-2432.420) (-2424.625) -- 0:34:42 Average standard deviation of split frequencies: 0.031620 91000 -- [-2397.083] (-2438.647) (-2397.565) (-2401.212) * (-2390.619) [-2389.883] (-2395.247) (-2436.155) -- 0:34:37 92000 -- [-2393.499] (-2427.697) (-2406.738) (-2399.481) * (-2396.284) (-2401.444) [-2388.656] (-2453.070) -- 0:34:32 93000 -- [-2388.637] (-2415.327) (-2421.262) (-2394.072) * (-2391.767) [-2386.102] (-2393.668) (-2433.019) -- 0:34:37 94000 -- [-2383.596] (-2414.731) (-2434.767) (-2385.916) * (-2393.625) (-2386.657) [-2393.617] (-2418.630) -- 0:34:32 95000 -- (-2398.521) (-2444.968) (-2417.328) [-2374.085] * (-2386.148) [-2384.501] (-2418.900) (-2411.480) -- 0:34:27 Average standard deviation of split frequencies: 0.033154 96000 -- (-2402.172) (-2440.812) (-2420.982) [-2385.178] * (-2393.499) [-2385.751] (-2423.837) (-2438.727) -- 0:34:31 97000 -- (-2397.801) (-2453.358) (-2401.857) [-2389.062] * [-2387.738] (-2388.299) (-2411.952) (-2417.717) -- 0:34:26 98000 -- [-2395.141] (-2441.687) (-2382.034) (-2395.865) * (-2454.745) (-2388.933) [-2393.044] (-2412.196) -- 0:34:21 99000 -- [-2395.843] (-2443.348) (-2393.544) (-2412.455) * (-2442.637) [-2383.447] (-2401.216) (-2402.299) -- 0:34:25 100000 -- (-2397.929) (-2432.752) (-2394.012) [-2379.783] * [-2400.937] (-2403.188) (-2431.755) (-2413.130) -- 0:34:21 Average standard deviation of split frequencies: 0.034640 101000 -- (-2406.629) (-2421.694) (-2391.718) [-2383.960] * (-2406.350) [-2407.269] (-2453.489) (-2397.687) -- 0:34:16 102000 -- (-2399.424) (-2435.133) (-2446.619) [-2383.514] * [-2395.447] (-2411.791) (-2443.489) (-2394.486) -- 0:34:20 103000 -- [-2377.431] (-2414.750) (-2400.163) (-2376.726) * [-2395.330] (-2403.800) (-2461.400) (-2402.555) -- 0:34:15 104000 -- [-2402.352] (-2422.512) (-2385.771) (-2406.131) * [-2397.645] (-2414.534) (-2443.331) (-2394.840) -- 0:34:10 105000 -- [-2407.320] (-2424.144) (-2432.566) (-2408.256) * [-2390.267] (-2433.685) (-2450.849) (-2405.314) -- 0:34:14 Average standard deviation of split frequencies: 0.034186 106000 -- (-2424.158) [-2405.932] (-2413.639) (-2407.572) * (-2391.029) (-2432.497) (-2443.860) [-2383.726] -- 0:34:09 107000 -- (-2425.467) (-2419.730) (-2397.552) [-2399.086] * [-2382.086] (-2432.623) (-2448.790) (-2407.988) -- 0:34:13 108000 -- (-2427.219) (-2420.207) [-2378.187] (-2423.731) * [-2377.400] (-2425.532) (-2397.719) (-2408.118) -- 0:34:08 109000 -- (-2427.456) (-2418.670) [-2392.337] (-2414.734) * [-2384.584] (-2403.136) (-2433.360) (-2398.585) -- 0:34:03 110000 -- (-2408.389) (-2444.277) [-2393.190] (-2427.686) * (-2397.751) [-2384.105] (-2441.982) (-2416.541) -- 0:33:58 Average standard deviation of split frequencies: 0.034197 111000 -- (-2407.330) (-2428.681) [-2392.702] (-2443.958) * [-2383.028] (-2380.031) (-2435.589) (-2405.350) -- 0:34:02 112000 -- (-2411.740) (-2433.224) [-2393.374] (-2433.450) * (-2394.294) (-2390.124) (-2439.102) [-2403.580] -- 0:33:57 113000 -- (-2398.659) (-2455.287) [-2395.885] (-2423.520) * [-2377.148] (-2415.212) (-2449.574) (-2402.200) -- 0:33:53 114000 -- [-2402.380] (-2446.852) (-2416.428) (-2412.817) * [-2381.933] (-2435.069) (-2426.041) (-2415.839) -- 0:33:56 115000 -- [-2400.975] (-2433.403) (-2405.236) (-2416.773) * [-2392.488] (-2450.121) (-2445.103) (-2395.717) -- 0:33:51 Average standard deviation of split frequencies: 0.037327 116000 -- (-2428.075) (-2416.435) [-2400.172] (-2443.478) * [-2397.794] (-2426.272) (-2444.202) (-2405.970) -- 0:33:47 117000 -- (-2424.891) (-2416.970) [-2401.290] (-2428.845) * [-2388.480] (-2430.277) (-2438.337) (-2410.637) -- 0:33:42 118000 -- (-2401.367) (-2401.490) [-2398.588] (-2443.476) * [-2383.052] (-2439.044) (-2431.012) (-2418.812) -- 0:33:45 119000 -- (-2398.896) (-2419.966) [-2390.998] (-2417.440) * [-2388.877] (-2447.999) (-2430.711) (-2392.694) -- 0:33:41 120000 -- (-2415.212) (-2417.331) [-2391.268] (-2436.432) * [-2396.544] (-2426.762) (-2426.007) (-2409.688) -- 0:33:36 Average standard deviation of split frequencies: 0.038593 121000 -- (-2407.331) [-2401.508] (-2404.822) (-2438.344) * (-2398.683) (-2438.702) (-2447.054) [-2401.781] -- 0:33:32 122000 -- (-2416.945) [-2387.529] (-2418.592) (-2454.468) * [-2393.597] (-2448.764) (-2451.232) (-2412.443) -- 0:33:35 123000 -- (-2407.216) [-2386.604] (-2424.920) (-2444.769) * (-2411.543) (-2447.622) (-2440.130) [-2387.130] -- 0:33:30 124000 -- (-2407.943) [-2378.254] (-2398.630) (-2437.371) * (-2398.441) (-2457.934) (-2441.368) [-2390.129] -- 0:33:26 125000 -- (-2427.790) [-2384.237] (-2415.685) (-2422.589) * [-2394.175] (-2467.831) (-2435.924) (-2399.504) -- 0:33:22 Average standard deviation of split frequencies: 0.037901 126000 -- (-2421.013) [-2388.412] (-2417.484) (-2412.434) * (-2415.886) (-2474.144) (-2439.395) [-2401.375] -- 0:33:24 127000 -- (-2424.836) [-2393.492] (-2417.279) (-2431.119) * (-2428.788) (-2444.278) (-2431.554) [-2402.236] -- 0:33:20 128000 -- (-2436.755) [-2384.186] (-2419.253) (-2442.286) * (-2393.889) (-2432.144) (-2441.993) [-2380.781] -- 0:33:16 129000 -- (-2426.807) [-2393.435] (-2414.580) (-2438.829) * (-2400.231) (-2433.572) (-2421.749) [-2390.099] -- 0:33:18 130000 -- (-2437.108) (-2413.883) (-2432.132) [-2400.654] * (-2410.915) (-2416.092) (-2449.639) [-2378.825] -- 0:33:14 Average standard deviation of split frequencies: 0.039053 131000 -- (-2407.145) (-2403.452) (-2442.019) [-2397.565] * (-2433.522) (-2396.592) (-2434.441) [-2376.413] -- 0:33:10 132000 -- (-2428.072) (-2396.483) (-2432.029) [-2394.989] * (-2416.347) (-2396.648) (-2432.557) [-2378.657] -- 0:33:05 133000 -- (-2437.251) (-2398.820) (-2434.308) [-2394.186] * (-2403.675) (-2417.221) (-2429.009) [-2388.771] -- 0:33:08 134000 -- (-2433.252) (-2399.906) (-2425.971) [-2394.699] * (-2429.460) (-2419.790) (-2418.228) [-2377.515] -- 0:33:04 135000 -- (-2430.844) [-2388.149] (-2434.838) (-2399.065) * (-2408.980) (-2430.953) (-2440.333) [-2379.863] -- 0:32:59 Average standard deviation of split frequencies: 0.040320 136000 -- (-2401.587) [-2401.472] (-2423.141) (-2410.313) * (-2412.638) (-2415.630) (-2446.815) [-2365.696] -- 0:33:02 137000 -- (-2408.940) (-2404.740) (-2466.635) [-2404.319] * (-2415.105) (-2436.241) (-2446.033) [-2375.358] -- 0:32:57 138000 -- (-2400.896) [-2400.266] (-2464.981) (-2403.970) * (-2448.369) (-2452.588) (-2416.834) [-2364.841] -- 0:32:53 139000 -- [-2395.214] (-2405.332) (-2470.414) (-2398.627) * (-2427.511) (-2441.283) [-2414.481] (-2380.313) -- 0:32:55 140000 -- (-2409.099) [-2399.446] (-2475.685) (-2422.760) * (-2436.474) (-2446.576) [-2406.987] (-2390.549) -- 0:32:51 Average standard deviation of split frequencies: 0.040668 141000 -- (-2411.764) (-2394.395) (-2444.414) [-2397.209] * (-2414.179) (-2443.838) (-2409.544) [-2402.078] -- 0:32:47 142000 -- (-2422.903) [-2383.026] (-2447.085) (-2388.759) * (-2416.673) (-2447.708) [-2399.125] (-2395.743) -- 0:32:43 143000 -- (-2405.132) [-2382.523] (-2440.026) (-2406.705) * (-2423.459) (-2435.727) [-2392.495] (-2403.728) -- 0:32:45 144000 -- (-2444.828) (-2401.800) (-2435.015) [-2394.390] * (-2413.707) (-2448.102) [-2394.331] (-2402.690) -- 0:32:41 145000 -- (-2438.208) [-2399.616] (-2439.651) (-2392.548) * (-2395.596) (-2459.247) [-2387.266] (-2410.852) -- 0:32:37 Average standard deviation of split frequencies: 0.040505 146000 -- (-2434.167) (-2418.296) (-2439.020) [-2385.898] * (-2404.492) (-2455.977) (-2399.331) [-2393.790] -- 0:32:39 147000 -- (-2441.483) (-2412.773) (-2429.003) [-2381.785] * (-2412.344) (-2436.651) (-2402.467) [-2395.425] -- 0:32:35 148000 -- (-2429.388) (-2402.749) (-2432.926) [-2375.743] * (-2419.906) (-2456.036) (-2403.278) [-2390.638] -- 0:32:31 149000 -- (-2426.807) (-2401.156) (-2423.414) [-2380.457] * (-2428.302) (-2450.089) (-2398.245) [-2387.713] -- 0:32:27 150000 -- (-2438.089) (-2395.790) (-2433.077) [-2395.041] * (-2414.199) (-2419.858) (-2388.583) [-2394.130] -- 0:32:29 Average standard deviation of split frequencies: 0.040112 151000 -- (-2414.168) [-2395.513] (-2441.856) (-2394.065) * (-2421.740) (-2427.171) (-2388.659) [-2399.992] -- 0:32:25 152000 -- (-2434.129) [-2386.001] (-2464.264) (-2382.673) * (-2426.206) (-2430.665) [-2380.508] (-2392.040) -- 0:32:21 153000 -- (-2446.342) [-2386.710] (-2476.327) (-2376.622) * (-2406.365) (-2454.611) [-2396.604] (-2433.969) -- 0:32:23 154000 -- (-2465.935) [-2383.302] (-2446.133) (-2394.127) * (-2390.750) (-2431.600) [-2382.768] (-2427.820) -- 0:32:19 155000 -- (-2442.628) [-2379.896] (-2448.025) (-2405.487) * (-2401.946) (-2408.580) [-2389.366] (-2443.255) -- 0:32:15 Average standard deviation of split frequencies: 0.040502 156000 -- (-2425.900) [-2389.143] (-2454.157) (-2397.841) * (-2426.846) (-2407.585) [-2383.997] (-2421.278) -- 0:32:11 157000 -- (-2414.778) [-2397.386] (-2457.611) (-2416.712) * (-2463.496) (-2408.617) [-2374.023] (-2392.496) -- 0:32:07 158000 -- (-2419.894) [-2392.664] (-2448.877) (-2410.801) * (-2442.049) (-2385.477) [-2379.117] (-2401.964) -- 0:32:09 159000 -- (-2428.768) (-2406.780) (-2458.769) [-2405.680] * (-2464.637) (-2374.698) [-2375.772] (-2414.917) -- 0:32:05 160000 -- (-2446.296) [-2390.120] (-2452.595) (-2394.673) * (-2434.561) [-2378.973] (-2398.102) (-2439.660) -- 0:32:01 Average standard deviation of split frequencies: 0.041393 161000 -- (-2417.474) [-2370.892] (-2450.271) (-2397.443) * (-2412.325) (-2396.725) [-2387.008] (-2465.800) -- 0:31:57 162000 -- (-2404.595) (-2396.113) (-2433.534) [-2408.610] * (-2392.489) [-2390.633] (-2388.659) (-2462.820) -- 0:31:59 163000 -- (-2426.533) (-2399.427) (-2453.850) [-2392.202] * [-2390.352] (-2414.634) (-2385.839) (-2446.890) -- 0:31:55 164000 -- (-2430.967) [-2392.456] (-2456.389) (-2414.602) * (-2403.940) (-2420.308) [-2383.731] (-2410.588) -- 0:31:51 165000 -- (-2443.086) [-2391.810] (-2471.691) (-2393.609) * (-2430.890) (-2419.551) [-2384.231] (-2399.709) -- 0:31:52 Average standard deviation of split frequencies: 0.040296 166000 -- (-2427.715) (-2378.568) (-2460.108) [-2397.166] * (-2442.953) (-2405.889) (-2391.512) [-2392.879] -- 0:31:49 167000 -- [-2394.675] (-2417.070) (-2452.305) (-2386.748) * (-2432.699) (-2405.303) (-2392.685) [-2399.671] -- 0:31:45 168000 -- (-2390.379) [-2395.901] (-2438.134) (-2399.268) * (-2439.278) (-2423.994) (-2387.204) [-2388.201] -- 0:31:46 169000 -- (-2421.576) (-2388.988) [-2407.014] (-2426.442) * (-2440.449) (-2426.686) [-2392.212] (-2401.154) -- 0:31:42 170000 -- (-2411.105) [-2392.469] (-2394.650) (-2444.996) * (-2446.059) (-2440.480) (-2401.849) [-2399.432] -- 0:31:44 Average standard deviation of split frequencies: 0.040968 171000 -- (-2422.882) [-2383.699] (-2390.794) (-2418.317) * [-2423.712] (-2447.498) (-2412.510) (-2399.883) -- 0:31:40 172000 -- (-2404.186) [-2403.271] (-2394.458) (-2439.824) * (-2435.989) (-2465.755) (-2391.291) [-2400.917] -- 0:31:36 173000 -- (-2405.813) (-2419.832) [-2388.217] (-2399.266) * (-2413.775) (-2456.488) [-2389.645] (-2410.322) -- 0:31:33 174000 -- (-2418.754) (-2403.853) [-2391.327] (-2416.108) * [-2403.625] (-2446.564) (-2412.935) (-2420.853) -- 0:31:34 175000 -- (-2403.908) (-2433.841) [-2394.865] (-2411.087) * [-2396.266] (-2457.347) (-2404.604) (-2415.017) -- 0:31:30 Average standard deviation of split frequencies: 0.041476 176000 -- (-2407.295) (-2427.446) [-2393.910] (-2407.721) * [-2392.349] (-2442.874) (-2395.195) (-2399.284) -- 0:31:26 177000 -- [-2398.044] (-2415.702) (-2413.270) (-2438.183) * [-2392.161] (-2413.426) (-2402.241) (-2419.835) -- 0:31:27 178000 -- [-2396.300] (-2416.132) (-2407.171) (-2429.208) * [-2409.000] (-2420.439) (-2413.035) (-2410.737) -- 0:31:24 179000 -- (-2398.478) (-2410.906) [-2404.444] (-2414.451) * (-2401.939) (-2431.188) [-2395.962] (-2413.142) -- 0:31:20 180000 -- (-2405.989) [-2403.263] (-2419.372) (-2422.342) * (-2405.959) (-2429.905) [-2397.485] (-2413.486) -- 0:31:21 Average standard deviation of split frequencies: 0.041788 181000 -- [-2393.730] (-2422.904) (-2405.750) (-2410.488) * (-2449.349) (-2396.401) (-2395.060) [-2387.488] -- 0:31:17 182000 -- (-2401.203) [-2403.210] (-2431.663) (-2432.480) * (-2452.000) (-2402.253) (-2418.148) [-2387.001] -- 0:31:14 183000 -- [-2391.634] (-2415.204) (-2442.860) (-2399.364) * (-2447.245) (-2407.312) (-2414.658) [-2382.085] -- 0:31:15 184000 -- [-2376.798] (-2409.522) (-2427.020) (-2389.098) * (-2429.284) (-2421.483) (-2411.967) [-2386.775] -- 0:31:11 185000 -- [-2388.931] (-2427.866) (-2445.955) (-2383.101) * (-2417.768) (-2440.384) (-2400.768) [-2389.721] -- 0:31:07 Average standard deviation of split frequencies: 0.040949 186000 -- [-2386.837] (-2417.364) (-2436.223) (-2394.657) * (-2410.004) (-2418.330) (-2398.749) [-2390.107] -- 0:31:04 187000 -- [-2398.180] (-2434.855) (-2453.481) (-2382.969) * [-2408.745] (-2440.443) (-2410.886) (-2401.085) -- 0:31:05 188000 -- (-2418.509) (-2402.206) (-2428.292) [-2373.275] * (-2404.582) (-2419.357) (-2424.543) [-2386.445] -- 0:31:01 189000 -- (-2416.183) [-2406.172] (-2424.881) (-2397.973) * [-2385.342] (-2438.156) (-2394.023) (-2404.269) -- 0:30:58 190000 -- (-2393.867) [-2401.781] (-2415.685) (-2406.090) * (-2395.822) (-2416.554) [-2390.145] (-2410.829) -- 0:30:58 Average standard deviation of split frequencies: 0.041776 191000 -- (-2423.408) [-2392.085] (-2424.933) (-2414.035) * [-2384.501] (-2411.146) (-2425.442) (-2386.329) -- 0:30:55 192000 -- [-2393.484] (-2402.056) (-2450.641) (-2391.629) * [-2382.502] (-2418.079) (-2444.367) (-2401.442) -- 0:30:51 193000 -- (-2403.933) (-2394.158) (-2440.699) [-2380.420] * [-2382.884] (-2420.518) (-2394.153) (-2414.026) -- 0:30:48 194000 -- (-2401.958) [-2384.186] (-2419.860) (-2393.164) * (-2381.312) (-2411.066) (-2401.488) [-2399.980] -- 0:30:48 195000 -- (-2417.204) (-2395.507) [-2405.091] (-2415.005) * [-2374.665] (-2418.936) (-2432.941) (-2399.447) -- 0:30:45 Average standard deviation of split frequencies: 0.042943 196000 -- [-2395.963] (-2411.389) (-2416.512) (-2417.322) * [-2364.741] (-2433.645) (-2407.210) (-2396.902) -- 0:30:41 197000 -- (-2397.071) [-2398.193] (-2421.466) (-2415.077) * [-2367.590] (-2414.423) (-2381.954) (-2420.035) -- 0:30:38 198000 -- (-2393.394) [-2397.420] (-2456.546) (-2424.331) * (-2394.135) (-2422.312) [-2375.381] (-2410.789) -- 0:30:38 199000 -- [-2379.259] (-2416.850) (-2426.204) (-2388.800) * (-2393.670) (-2419.432) [-2384.694] (-2385.221) -- 0:30:35 200000 -- [-2374.357] (-2415.209) (-2422.710) (-2413.606) * (-2411.862) (-2412.481) (-2391.202) [-2381.866] -- 0:30:32 Average standard deviation of split frequencies: 0.043699 201000 -- [-2369.105] (-2386.608) (-2433.492) (-2415.169) * (-2420.452) (-2404.307) [-2385.086] (-2404.479) -- 0:30:32 202000 -- (-2397.452) [-2388.466] (-2434.550) (-2434.159) * (-2415.942) (-2416.635) [-2403.974] (-2396.350) -- 0:30:29 203000 -- [-2401.318] (-2393.177) (-2441.645) (-2407.502) * [-2381.162] (-2408.983) (-2394.340) (-2406.135) -- 0:30:25 204000 -- [-2401.850] (-2405.922) (-2452.654) (-2404.337) * [-2369.023] (-2396.537) (-2390.720) (-2426.788) -- 0:30:26 205000 -- [-2399.482] (-2411.313) (-2473.888) (-2409.712) * [-2369.618] (-2406.368) (-2393.792) (-2425.686) -- 0:30:22 Average standard deviation of split frequencies: 0.042849 206000 -- [-2405.794] (-2408.954) (-2467.908) (-2418.243) * [-2386.398] (-2427.871) (-2394.897) (-2461.024) -- 0:30:19 207000 -- [-2399.098] (-2409.226) (-2475.379) (-2402.270) * [-2396.241] (-2412.298) (-2387.385) (-2423.237) -- 0:30:15 208000 -- [-2401.178] (-2395.531) (-2436.513) (-2400.428) * [-2399.102] (-2417.794) (-2404.313) (-2436.511) -- 0:30:16 209000 -- (-2404.340) [-2394.846] (-2441.986) (-2398.588) * (-2424.464) [-2400.129] (-2380.664) (-2409.736) -- 0:30:12 210000 -- (-2389.921) [-2395.987] (-2437.598) (-2397.884) * (-2408.787) (-2390.852) [-2381.987] (-2422.430) -- 0:30:09 Average standard deviation of split frequencies: 0.042019 211000 -- [-2388.590] (-2414.279) (-2433.698) (-2396.748) * (-2444.046) [-2392.449] (-2390.227) (-2426.827) -- 0:30:09 212000 -- [-2383.738] (-2419.331) (-2444.403) (-2405.544) * (-2419.783) (-2390.840) [-2378.797] (-2401.012) -- 0:30:06 213000 -- [-2382.289] (-2419.547) (-2441.605) (-2440.868) * (-2446.959) [-2398.299] (-2381.552) (-2428.933) -- 0:30:03 214000 -- [-2394.677] (-2427.238) (-2422.927) (-2402.485) * (-2430.176) (-2420.418) [-2379.264] (-2397.571) -- 0:30:03 215000 -- (-2395.786) [-2396.405] (-2433.983) (-2408.863) * (-2414.196) [-2391.041] (-2381.003) (-2414.916) -- 0:30:00 Average standard deviation of split frequencies: 0.041716 216000 -- (-2389.671) [-2390.987] (-2436.897) (-2419.823) * (-2413.468) [-2383.134] (-2404.168) (-2425.211) -- 0:29:56 217000 -- (-2396.140) [-2395.955] (-2435.452) (-2416.263) * (-2415.093) [-2382.135] (-2405.378) (-2418.931) -- 0:29:56 218000 -- (-2426.255) [-2394.731] (-2409.098) (-2403.130) * (-2440.713) [-2399.481] (-2408.943) (-2421.702) -- 0:29:53 219000 -- (-2408.542) [-2387.727] (-2404.443) (-2394.520) * (-2436.873) (-2408.527) [-2400.824] (-2393.550) -- 0:29:50 220000 -- (-2401.045) [-2383.186] (-2422.601) (-2431.953) * (-2411.095) (-2401.506) [-2398.387] (-2413.148) -- 0:29:50 Average standard deviation of split frequencies: 0.040948 221000 -- (-2407.194) [-2387.557] (-2392.222) (-2435.910) * (-2398.908) (-2408.475) [-2397.557] (-2451.153) -- 0:29:47 222000 -- (-2411.012) (-2395.694) [-2389.319] (-2431.325) * (-2403.075) (-2408.484) [-2386.222] (-2432.956) -- 0:29:43 223000 -- [-2394.425] (-2396.451) (-2396.564) (-2457.601) * (-2405.321) (-2439.830) [-2382.475] (-2411.310) -- 0:29:40 224000 -- (-2400.025) [-2397.533] (-2401.040) (-2431.773) * (-2403.168) (-2391.982) [-2389.652] (-2428.095) -- 0:29:40 225000 -- (-2394.932) [-2377.444] (-2407.770) (-2424.533) * (-2412.283) (-2379.833) [-2380.951] (-2441.063) -- 0:29:37 Average standard deviation of split frequencies: 0.038016 226000 -- (-2396.742) [-2372.953] (-2435.724) (-2435.234) * (-2414.305) (-2379.820) [-2386.293] (-2450.352) -- 0:29:34 227000 -- (-2377.261) [-2396.472] (-2449.662) (-2433.951) * (-2406.177) (-2392.847) [-2389.684] (-2456.802) -- 0:29:34 228000 -- [-2373.837] (-2389.137) (-2467.221) (-2410.325) * (-2433.865) (-2380.580) [-2388.859] (-2461.833) -- 0:29:30 229000 -- [-2393.592] (-2381.539) (-2447.085) (-2414.540) * (-2436.086) (-2390.685) [-2378.818] (-2442.705) -- 0:29:27 230000 -- (-2407.287) (-2379.364) (-2460.497) [-2417.038] * (-2428.455) [-2389.004] (-2392.645) (-2432.368) -- 0:29:24 Average standard deviation of split frequencies: 0.036973 231000 -- (-2415.426) [-2380.472] (-2451.946) (-2413.804) * (-2448.005) (-2386.657) [-2378.468] (-2423.031) -- 0:29:24 232000 -- (-2420.152) [-2384.315] (-2468.653) (-2397.660) * (-2417.106) (-2381.081) [-2383.243] (-2424.571) -- 0:29:21 233000 -- [-2411.553] (-2402.906) (-2432.298) (-2416.612) * (-2453.811) (-2385.144) [-2389.261] (-2414.481) -- 0:29:17 234000 -- [-2387.499] (-2417.054) (-2460.514) (-2411.920) * (-2436.063) (-2397.014) [-2391.380] (-2432.485) -- 0:29:14 235000 -- [-2391.759] (-2406.688) (-2452.568) (-2410.570) * (-2443.612) (-2413.604) [-2405.467] (-2408.398) -- 0:29:11 Average standard deviation of split frequencies: 0.035524 236000 -- (-2389.937) (-2406.597) (-2432.559) [-2397.902] * (-2435.578) (-2411.632) [-2407.574] (-2413.441) -- 0:29:11 237000 -- [-2400.507] (-2426.716) (-2449.902) (-2386.946) * (-2427.736) (-2424.502) [-2388.990] (-2409.325) -- 0:29:08 238000 -- [-2393.683] (-2414.039) (-2454.246) (-2382.854) * (-2412.046) (-2446.358) [-2390.431] (-2406.822) -- 0:29:04 239000 -- (-2404.478) (-2395.364) (-2422.760) [-2384.257] * (-2419.826) (-2414.948) [-2387.622] (-2399.845) -- 0:29:04 240000 -- [-2392.780] (-2393.773) (-2439.510) (-2396.983) * (-2433.703) (-2403.457) [-2396.338] (-2401.281) -- 0:29:01 Average standard deviation of split frequencies: 0.035288 241000 -- (-2390.663) (-2397.972) (-2445.333) [-2389.025] * (-2419.522) (-2404.834) [-2383.585] (-2419.896) -- 0:29:01 242000 -- (-2386.562) [-2381.203] (-2447.757) (-2399.174) * (-2442.998) (-2411.822) [-2390.650] (-2422.675) -- 0:28:58 243000 -- (-2398.420) [-2383.939] (-2440.286) (-2370.743) * (-2412.185) (-2400.232) [-2382.885] (-2448.326) -- 0:28:55 244000 -- (-2385.137) (-2397.166) (-2452.117) [-2374.735] * (-2417.714) (-2410.411) [-2373.251] (-2431.086) -- 0:28:51 245000 -- (-2394.166) (-2410.605) (-2429.460) [-2398.233] * (-2414.776) [-2405.671] (-2378.411) (-2429.864) -- 0:28:51 Average standard deviation of split frequencies: 0.033769 246000 -- (-2401.543) (-2409.252) (-2421.034) [-2389.889] * (-2395.055) (-2403.910) [-2381.940] (-2443.667) -- 0:28:48 247000 -- (-2397.082) (-2409.590) (-2437.640) [-2379.545] * (-2423.864) (-2409.488) [-2387.392] (-2427.880) -- 0:28:48 248000 -- (-2410.393) (-2412.696) (-2412.571) [-2378.722] * (-2439.195) (-2427.190) [-2388.828] (-2412.258) -- 0:28:45 249000 -- (-2433.862) (-2422.002) (-2406.868) [-2385.707] * (-2418.650) (-2423.383) (-2391.789) [-2397.793] -- 0:28:42 250000 -- (-2439.238) (-2409.221) [-2383.932] (-2408.913) * (-2400.236) (-2425.308) [-2373.427] (-2416.138) -- 0:28:42 Average standard deviation of split frequencies: 0.032843 251000 -- (-2419.385) (-2417.363) [-2393.376] (-2418.304) * (-2407.440) (-2422.070) [-2372.798] (-2404.308) -- 0:28:38 252000 -- (-2451.371) (-2412.223) (-2400.256) [-2416.537] * (-2420.062) (-2436.790) [-2389.353] (-2391.136) -- 0:28:35 253000 -- (-2441.872) (-2418.105) [-2394.162] (-2413.369) * (-2443.686) [-2396.323] (-2404.811) (-2395.094) -- 0:28:35 254000 -- (-2476.370) (-2405.885) [-2403.830] (-2404.893) * (-2406.759) [-2393.079] (-2421.075) (-2404.487) -- 0:28:32 255000 -- (-2445.204) (-2407.520) [-2408.912] (-2408.346) * (-2416.409) [-2393.768] (-2415.025) (-2426.732) -- 0:28:29 Average standard deviation of split frequencies: 0.031826 256000 -- (-2419.292) (-2412.891) (-2402.102) [-2405.953] * (-2426.695) (-2413.226) (-2430.739) [-2398.804] -- 0:28:28 257000 -- [-2397.179] (-2421.240) (-2406.372) (-2432.593) * (-2393.384) [-2389.458] (-2437.715) (-2410.764) -- 0:28:25 258000 -- [-2395.754] (-2438.077) (-2403.560) (-2416.714) * [-2396.153] (-2380.949) (-2410.480) (-2426.718) -- 0:28:22 259000 -- [-2390.300] (-2421.969) (-2413.575) (-2415.734) * (-2406.377) [-2389.439] (-2440.726) (-2450.057) -- 0:28:19 260000 -- [-2381.742] (-2408.349) (-2449.081) (-2430.534) * (-2420.381) [-2402.013] (-2432.939) (-2425.173) -- 0:28:19 Average standard deviation of split frequencies: 0.031146 261000 -- [-2388.528] (-2413.606) (-2461.603) (-2420.736) * (-2422.722) [-2395.045] (-2449.537) (-2414.422) -- 0:28:16 262000 -- [-2377.851] (-2412.216) (-2457.121) (-2438.953) * (-2431.206) (-2397.863) (-2461.232) [-2396.194] -- 0:28:12 263000 -- [-2383.338] (-2421.085) (-2425.533) (-2414.637) * (-2441.350) [-2402.967] (-2423.117) (-2399.318) -- 0:28:09 264000 -- [-2378.260] (-2422.924) (-2426.774) (-2421.081) * (-2433.850) [-2405.920] (-2417.860) (-2417.797) -- 0:28:09 265000 -- [-2383.648] (-2445.586) (-2419.167) (-2416.644) * (-2424.770) [-2413.534] (-2414.764) (-2429.367) -- 0:28:06 Average standard deviation of split frequencies: 0.030404 266000 -- [-2378.101] (-2410.419) (-2410.457) (-2427.244) * (-2410.960) (-2410.399) [-2399.428] (-2425.709) -- 0:28:03 267000 -- [-2384.045] (-2404.507) (-2410.908) (-2440.188) * (-2415.951) (-2412.978) [-2395.726] (-2421.249) -- 0:28:00 268000 -- [-2381.991] (-2444.946) (-2375.622) (-2432.784) * (-2408.045) (-2395.716) [-2388.705] (-2451.741) -- 0:27:57 269000 -- [-2383.338] (-2414.680) (-2384.989) (-2428.789) * (-2428.290) (-2405.368) [-2386.021] (-2434.916) -- 0:27:56 270000 -- [-2386.316] (-2466.519) (-2388.137) (-2425.961) * (-2441.427) (-2400.382) [-2380.619] (-2408.231) -- 0:27:53 Average standard deviation of split frequencies: 0.030935 271000 -- [-2383.819] (-2454.969) (-2389.140) (-2436.264) * (-2468.838) (-2399.441) [-2386.229] (-2412.856) -- 0:27:50 272000 -- (-2391.297) (-2440.084) [-2386.016] (-2430.386) * (-2443.449) (-2406.159) [-2386.175] (-2435.458) -- 0:27:47 273000 -- [-2385.435] (-2436.230) (-2407.189) (-2447.178) * (-2426.187) (-2448.542) [-2387.814] (-2411.980) -- 0:27:44 274000 -- [-2385.872] (-2433.196) (-2397.910) (-2444.916) * (-2424.182) (-2423.397) [-2386.246] (-2424.608) -- 0:27:43 275000 -- (-2373.322) (-2410.213) [-2406.092] (-2427.038) * [-2408.996] (-2431.731) (-2387.535) (-2424.964) -- 0:27:40 Average standard deviation of split frequencies: 0.030361 276000 -- [-2378.075] (-2409.799) (-2410.060) (-2444.115) * (-2409.301) (-2440.251) [-2392.828] (-2400.668) -- 0:27:37 277000 -- [-2381.021] (-2416.473) (-2409.076) (-2436.354) * (-2407.879) (-2420.045) [-2409.812] (-2390.809) -- 0:27:37 278000 -- (-2390.255) (-2422.679) [-2399.422] (-2444.691) * [-2392.855] (-2421.088) (-2397.449) (-2418.087) -- 0:27:34 279000 -- [-2374.129] (-2438.763) (-2414.670) (-2437.377) * [-2399.321] (-2438.895) (-2392.704) (-2415.533) -- 0:27:31 280000 -- [-2384.095] (-2425.815) (-2422.395) (-2432.322) * (-2409.651) (-2409.663) [-2387.632] (-2424.543) -- 0:27:30 Average standard deviation of split frequencies: 0.031127 281000 -- [-2388.521] (-2436.801) (-2408.458) (-2432.252) * [-2402.628] (-2407.647) (-2417.062) (-2412.964) -- 0:27:27 282000 -- [-2394.331] (-2417.570) (-2427.877) (-2447.234) * [-2388.371] (-2433.150) (-2402.484) (-2419.929) -- 0:27:24 283000 -- (-2434.384) [-2398.568] (-2427.750) (-2419.188) * [-2399.043] (-2397.207) (-2409.358) (-2420.362) -- 0:27:24 284000 -- (-2413.489) (-2385.715) [-2408.039] (-2418.649) * (-2400.972) (-2406.692) (-2418.271) [-2403.054] -- 0:27:21 285000 -- (-2405.651) [-2393.696] (-2414.928) (-2421.702) * (-2402.871) [-2406.383] (-2438.670) (-2402.659) -- 0:27:18 Average standard deviation of split frequencies: 0.030440 286000 -- [-2400.609] (-2392.634) (-2410.769) (-2435.295) * (-2425.347) [-2404.462] (-2426.752) (-2403.245) -- 0:27:17 287000 -- (-2389.138) [-2399.766] (-2420.501) (-2433.528) * (-2440.233) [-2408.192] (-2448.888) (-2418.694) -- 0:27:14 288000 -- [-2393.528] (-2437.362) (-2408.653) (-2449.116) * (-2434.727) [-2399.162] (-2429.742) (-2408.221) -- 0:27:11 289000 -- (-2396.634) (-2420.348) [-2416.170] (-2431.790) * (-2431.199) (-2401.721) (-2436.065) [-2414.646] -- 0:27:11 290000 -- [-2383.316] (-2420.739) (-2415.064) (-2444.414) * (-2461.867) (-2401.539) (-2429.820) [-2415.659] -- 0:27:08 Average standard deviation of split frequencies: 0.029218 291000 -- [-2383.484] (-2441.853) (-2412.251) (-2414.621) * (-2421.515) (-2396.424) (-2439.220) [-2400.292] -- 0:27:05 292000 -- [-2395.731] (-2465.757) (-2402.910) (-2430.848) * (-2413.441) [-2405.475] (-2432.664) (-2412.466) -- 0:27:04 293000 -- [-2386.029] (-2468.844) (-2399.259) (-2431.077) * (-2425.240) (-2399.903) [-2404.064] (-2387.245) -- 0:27:01 294000 -- [-2378.423] (-2453.955) (-2415.457) (-2421.090) * (-2418.735) [-2396.402] (-2400.748) (-2420.677) -- 0:26:58 295000 -- [-2376.770] (-2443.119) (-2399.159) (-2397.384) * (-2420.426) (-2386.757) (-2431.589) [-2386.293] -- 0:26:57 Average standard deviation of split frequencies: 0.029443 296000 -- [-2376.469] (-2437.097) (-2432.584) (-2408.965) * (-2446.774) (-2383.442) (-2440.099) [-2386.091] -- 0:26:54 297000 -- [-2377.063] (-2436.488) (-2449.032) (-2414.923) * (-2426.596) (-2408.135) (-2421.304) [-2380.077] -- 0:26:51 298000 -- [-2389.060] (-2412.952) (-2446.444) (-2433.573) * (-2400.110) (-2420.648) (-2423.288) [-2381.240] -- 0:26:51 299000 -- [-2389.789] (-2409.561) (-2430.025) (-2425.228) * (-2407.246) (-2416.979) (-2456.957) [-2391.977] -- 0:26:48 300000 -- [-2373.808] (-2392.842) (-2429.899) (-2418.877) * (-2396.555) (-2418.384) (-2441.949) [-2394.471] -- 0:26:45 Average standard deviation of split frequencies: 0.030830 301000 -- (-2406.951) [-2377.401] (-2414.389) (-2447.310) * (-2403.205) (-2403.758) (-2448.587) [-2380.099] -- 0:26:42 302000 -- (-2400.386) [-2382.500] (-2444.041) (-2412.573) * (-2412.834) (-2398.452) (-2421.207) [-2384.300] -- 0:26:41 303000 -- (-2415.468) [-2375.676] (-2442.454) (-2399.460) * (-2412.527) [-2393.865] (-2414.567) (-2394.925) -- 0:26:38 304000 -- (-2414.739) [-2380.852] (-2445.938) (-2420.883) * [-2400.464] (-2404.305) (-2437.404) (-2394.629) -- 0:26:35 305000 -- (-2414.977) [-2388.055] (-2437.931) (-2435.424) * [-2380.510] (-2418.181) (-2431.389) (-2406.957) -- 0:26:32 Average standard deviation of split frequencies: 0.029382 306000 -- [-2398.012] (-2388.735) (-2444.131) (-2429.707) * [-2386.976] (-2423.052) (-2441.530) (-2409.604) -- 0:26:32 307000 -- (-2395.246) [-2380.375] (-2412.087) (-2455.338) * [-2372.172] (-2416.761) (-2438.532) (-2415.466) -- 0:26:29 308000 -- (-2408.774) [-2376.151] (-2398.181) (-2450.157) * [-2370.949] (-2441.203) (-2437.026) (-2399.153) -- 0:26:26 309000 -- [-2400.084] (-2387.159) (-2407.888) (-2466.257) * [-2386.764] (-2436.989) (-2432.407) (-2405.339) -- 0:26:23 310000 -- (-2404.420) [-2380.090] (-2412.956) (-2448.884) * [-2374.700] (-2398.410) (-2450.758) (-2430.900) -- 0:26:22 Average standard deviation of split frequencies: 0.028621 311000 -- (-2434.462) [-2380.159] (-2415.027) (-2448.734) * [-2380.043] (-2440.682) (-2439.338) (-2404.658) -- 0:26:19 312000 -- (-2437.130) (-2381.316) [-2398.277] (-2430.223) * [-2390.823] (-2415.451) (-2446.898) (-2406.755) -- 0:26:16 313000 -- (-2455.414) [-2380.976] (-2389.859) (-2432.673) * (-2385.497) (-2404.380) (-2444.119) [-2376.557] -- 0:26:15 314000 -- (-2451.943) [-2388.852] (-2406.940) (-2426.703) * (-2419.143) (-2422.573) (-2413.749) [-2386.259] -- 0:26:12 315000 -- (-2461.017) [-2384.895] (-2396.984) (-2442.155) * [-2402.908] (-2417.569) (-2420.315) (-2384.625) -- 0:26:10 Average standard deviation of split frequencies: 0.027818 316000 -- (-2455.131) [-2394.837] (-2397.763) (-2414.541) * (-2426.567) (-2397.384) (-2424.784) [-2382.665] -- 0:26:09 317000 -- (-2434.993) [-2397.380] (-2412.259) (-2406.325) * (-2414.048) (-2398.529) (-2421.677) [-2393.460] -- 0:26:06 318000 -- (-2449.263) [-2417.864] (-2424.277) (-2406.380) * (-2421.100) (-2387.092) (-2415.558) [-2393.686] -- 0:26:05 319000 -- (-2420.822) [-2405.532] (-2430.582) (-2455.732) * (-2433.582) [-2384.740] (-2430.968) (-2393.571) -- 0:26:02 320000 -- (-2419.669) [-2390.805] (-2430.084) (-2464.502) * (-2442.858) [-2383.591] (-2399.755) (-2416.981) -- 0:25:59 Average standard deviation of split frequencies: 0.027147 321000 -- (-2424.886) [-2382.985] (-2414.908) (-2438.861) * (-2448.065) [-2391.322] (-2416.471) (-2403.889) -- 0:25:58 322000 -- (-2411.618) [-2392.598] (-2418.435) (-2427.559) * (-2431.107) [-2388.253] (-2415.338) (-2417.789) -- 0:25:56 323000 -- (-2410.871) (-2401.506) [-2406.106] (-2418.574) * (-2439.074) [-2386.269] (-2410.951) (-2411.343) -- 0:25:53 324000 -- (-2427.286) [-2393.932] (-2406.147) (-2411.560) * (-2421.509) [-2381.226] (-2449.331) (-2405.947) -- 0:25:52 325000 -- (-2413.763) (-2395.646) [-2397.906] (-2423.113) * (-2408.284) [-2402.335] (-2432.647) (-2416.694) -- 0:25:49 Average standard deviation of split frequencies: 0.026197 326000 -- (-2412.719) [-2391.521] (-2435.554) (-2410.847) * (-2439.162) [-2397.548] (-2433.897) (-2409.410) -- 0:25:48 327000 -- [-2394.822] (-2400.024) (-2452.809) (-2407.793) * (-2422.006) [-2385.345] (-2463.206) (-2412.916) -- 0:25:45 328000 -- [-2395.343] (-2403.319) (-2438.722) (-2422.075) * [-2385.737] (-2422.488) (-2408.195) (-2414.170) -- 0:25:42 329000 -- [-2392.658] (-2413.072) (-2437.385) (-2399.282) * (-2413.877) (-2406.786) [-2398.603] (-2427.201) -- 0:25:41 330000 -- [-2397.503] (-2403.441) (-2431.953) (-2414.663) * (-2412.514) [-2396.859] (-2414.244) (-2432.104) -- 0:25:38 Average standard deviation of split frequencies: 0.026144 331000 -- (-2424.636) (-2421.566) (-2438.724) [-2407.126] * [-2389.804] (-2423.110) (-2413.385) (-2444.186) -- 0:25:36 332000 -- (-2453.502) (-2420.193) (-2421.858) [-2408.486] * (-2396.982) (-2436.310) [-2379.250] (-2431.983) -- 0:25:35 333000 -- (-2405.971) (-2412.729) (-2418.355) [-2393.188] * [-2385.671] (-2438.228) (-2388.838) (-2449.384) -- 0:25:32 334000 -- (-2409.291) (-2416.608) (-2464.452) [-2389.376] * (-2395.719) (-2452.948) [-2392.648] (-2427.007) -- 0:25:29 335000 -- (-2443.971) (-2401.618) (-2457.724) [-2389.013] * (-2388.498) (-2461.547) [-2388.197] (-2428.548) -- 0:25:26 Average standard deviation of split frequencies: 0.026129 336000 -- (-2448.040) (-2390.947) (-2428.207) [-2396.177] * [-2381.434] (-2444.069) (-2398.808) (-2412.011) -- 0:25:25 337000 -- (-2429.766) [-2404.923] (-2449.760) (-2403.311) * [-2380.355] (-2419.820) (-2390.528) (-2445.649) -- 0:25:22 338000 -- (-2448.367) (-2406.735) (-2434.260) [-2377.598] * [-2386.407] (-2404.503) (-2420.150) (-2461.780) -- 0:25:19 339000 -- (-2439.298) (-2396.566) (-2434.955) [-2376.027] * [-2387.687] (-2412.567) (-2421.493) (-2448.348) -- 0:25:16 340000 -- (-2438.016) (-2391.731) (-2445.335) [-2384.291] * (-2400.918) [-2390.489] (-2410.868) (-2453.409) -- 0:25:16 Average standard deviation of split frequencies: 0.025416 341000 -- (-2425.681) (-2384.871) (-2438.143) [-2384.399] * (-2399.941) (-2419.177) [-2413.975] (-2472.923) -- 0:25:13 342000 -- (-2434.611) (-2386.051) (-2414.042) [-2388.697] * [-2396.716] (-2414.283) (-2437.708) (-2464.879) -- 0:25:10 343000 -- (-2402.139) (-2394.123) (-2413.857) [-2398.362] * (-2394.485) [-2394.715] (-2434.341) (-2461.878) -- 0:25:07 344000 -- (-2417.548) (-2395.637) (-2449.400) [-2394.365] * [-2390.316] (-2398.349) (-2430.843) (-2452.728) -- 0:25:06 345000 -- (-2420.411) [-2389.745] (-2451.892) (-2412.938) * (-2414.534) [-2395.079] (-2424.354) (-2469.267) -- 0:25:03 Average standard deviation of split frequencies: 0.024603 346000 -- (-2423.846) [-2397.977] (-2440.346) (-2417.276) * (-2410.884) [-2379.599] (-2444.842) (-2416.037) -- 0:25:00 347000 -- (-2438.160) [-2382.009] (-2412.760) (-2409.957) * (-2433.337) [-2391.357] (-2431.143) (-2405.951) -- 0:24:57 348000 -- (-2431.116) [-2390.766] (-2408.510) (-2410.922) * (-2418.798) [-2384.821] (-2433.195) (-2402.963) -- 0:24:56 349000 -- (-2447.071) (-2394.901) (-2399.292) [-2413.126] * (-2413.459) [-2379.478] (-2440.745) (-2415.766) -- 0:24:54 350000 -- (-2406.199) (-2398.452) [-2401.126] (-2430.293) * (-2424.940) [-2380.499] (-2461.720) (-2395.991) -- 0:24:51 Average standard deviation of split frequencies: 0.024054 351000 -- (-2412.900) (-2401.271) [-2398.179] (-2424.637) * (-2429.619) [-2383.756] (-2412.407) (-2401.668) -- 0:24:50 352000 -- [-2387.729] (-2435.347) (-2402.655) (-2433.922) * (-2420.266) [-2391.619] (-2416.712) (-2399.781) -- 0:24:47 353000 -- [-2399.653] (-2430.177) (-2391.272) (-2432.866) * (-2449.083) (-2417.289) (-2400.121) [-2399.419] -- 0:24:44 354000 -- [-2399.349] (-2413.199) (-2406.222) (-2411.327) * (-2422.546) (-2429.126) (-2405.291) [-2406.496] -- 0:24:43 355000 -- (-2413.491) (-2416.960) [-2385.693] (-2425.127) * (-2427.061) [-2390.348] (-2387.374) (-2397.463) -- 0:24:40 Average standard deviation of split frequencies: 0.023767 356000 -- (-2408.128) (-2431.376) [-2381.346] (-2420.275) * (-2426.284) [-2380.883] (-2392.078) (-2396.941) -- 0:24:37 357000 -- (-2392.770) (-2426.685) [-2384.250] (-2429.645) * (-2429.102) [-2370.235] (-2408.408) (-2399.930) -- 0:24:36 358000 -- [-2385.774] (-2416.227) (-2407.795) (-2405.099) * (-2416.859) [-2374.901] (-2407.249) (-2401.799) -- 0:24:34 359000 -- [-2404.157] (-2453.138) (-2405.889) (-2424.948) * (-2394.406) [-2379.290] (-2399.735) (-2420.982) -- 0:24:31 360000 -- (-2404.184) (-2457.631) (-2395.775) [-2411.186] * [-2389.144] (-2394.057) (-2394.891) (-2421.751) -- 0:24:30 Average standard deviation of split frequencies: 0.023427 361000 -- (-2403.795) (-2475.968) (-2409.781) [-2402.661] * (-2395.733) (-2411.729) [-2389.018] (-2413.585) -- 0:24:27 362000 -- (-2413.873) (-2455.023) [-2405.156] (-2404.521) * [-2382.074] (-2425.136) (-2395.514) (-2401.384) -- 0:24:24 363000 -- [-2399.932] (-2435.356) (-2422.502) (-2401.127) * (-2405.933) (-2435.269) (-2400.873) [-2411.728] -- 0:24:21 364000 -- [-2389.129] (-2458.884) (-2415.356) (-2393.703) * (-2434.892) (-2414.077) [-2387.332] (-2428.085) -- 0:24:20 365000 -- (-2397.188) (-2470.534) [-2396.014] (-2402.099) * (-2434.258) (-2416.385) [-2380.926] (-2397.198) -- 0:24:17 Average standard deviation of split frequencies: 0.022540 366000 -- (-2386.852) (-2457.644) [-2413.434] (-2414.035) * (-2410.875) (-2436.706) [-2388.262] (-2427.376) -- 0:24:15 367000 -- [-2394.366] (-2453.466) (-2417.149) (-2419.955) * (-2401.047) (-2433.057) [-2383.150] (-2468.316) -- 0:24:14 368000 -- [-2397.423] (-2431.371) (-2407.332) (-2421.109) * (-2400.451) (-2425.189) [-2390.365] (-2458.017) -- 0:24:11 369000 -- [-2403.842] (-2456.709) (-2405.937) (-2404.532) * (-2425.804) [-2411.509] (-2390.387) (-2431.473) -- 0:24:08 370000 -- (-2389.039) (-2466.701) (-2408.550) [-2389.508] * (-2420.147) (-2410.634) [-2393.542] (-2439.654) -- 0:24:05 Average standard deviation of split frequencies: 0.022144 371000 -- [-2392.133] (-2476.969) (-2398.826) (-2406.077) * [-2395.076] (-2429.135) (-2405.538) (-2430.694) -- 0:24:04 372000 -- (-2384.941) (-2474.180) (-2409.708) [-2397.455] * [-2415.312] (-2424.018) (-2406.418) (-2428.426) -- 0:24:01 373000 -- [-2388.297] (-2472.564) (-2410.896) (-2416.628) * (-2408.800) (-2451.706) [-2395.788] (-2441.818) -- 0:23:58 374000 -- (-2399.849) (-2477.882) (-2406.812) [-2389.488] * [-2385.192] (-2439.434) (-2402.097) (-2406.143) -- 0:23:57 375000 -- (-2433.548) (-2466.983) [-2392.223] (-2393.402) * [-2380.228] (-2441.347) (-2385.826) (-2416.185) -- 0:23:55 Average standard deviation of split frequencies: 0.021357 376000 -- (-2413.251) (-2448.305) [-2399.235] (-2389.592) * (-2398.256) (-2449.989) [-2386.790] (-2422.888) -- 0:23:52 377000 -- (-2444.004) (-2432.833) [-2400.968] (-2408.880) * (-2402.306) (-2463.997) [-2399.489] (-2405.014) -- 0:23:49 378000 -- (-2415.160) (-2468.018) [-2381.208] (-2429.021) * (-2437.745) (-2448.590) [-2377.124] (-2393.318) -- 0:23:46 379000 -- (-2432.525) (-2418.509) [-2383.078] (-2409.496) * (-2430.008) (-2441.329) [-2387.993] (-2398.801) -- 0:23:45 380000 -- (-2467.928) (-2403.811) (-2383.549) [-2384.783] * [-2408.153] (-2480.696) (-2401.684) (-2400.034) -- 0:23:42 Average standard deviation of split frequencies: 0.020625 381000 -- (-2455.250) (-2402.993) (-2404.639) [-2398.684] * (-2419.091) (-2460.557) [-2395.585] (-2405.802) -- 0:23:39 382000 -- (-2448.708) [-2396.375] (-2415.048) (-2398.824) * (-2413.301) (-2457.170) [-2402.826] (-2392.958) -- 0:23:37 383000 -- (-2430.080) [-2400.662] (-2403.537) (-2403.246) * (-2422.895) (-2453.983) (-2407.590) [-2392.427] -- 0:23:36 384000 -- (-2420.701) (-2407.105) [-2378.244] (-2420.078) * (-2402.481) (-2454.869) (-2415.429) [-2389.993] -- 0:23:33 385000 -- (-2406.631) (-2423.029) [-2377.516] (-2405.348) * [-2399.123] (-2473.621) (-2430.080) (-2401.540) -- 0:23:30 Average standard deviation of split frequencies: 0.019426 386000 -- (-2410.751) (-2431.319) [-2375.624] (-2402.961) * (-2403.417) (-2476.958) (-2440.482) [-2386.049] -- 0:23:29 387000 -- (-2423.063) (-2422.148) [-2378.708] (-2407.560) * (-2409.472) (-2429.268) (-2427.772) [-2388.732] -- 0:23:26 388000 -- (-2417.104) (-2433.033) [-2388.742] (-2415.546) * [-2400.146] (-2447.130) (-2441.941) (-2391.802) -- 0:23:23 389000 -- (-2438.968) (-2419.877) [-2380.701] (-2408.790) * [-2404.335] (-2420.410) (-2449.514) (-2395.451) -- 0:23:21 390000 -- (-2448.883) (-2424.430) [-2384.187] (-2410.927) * [-2399.431] (-2409.079) (-2434.607) (-2404.917) -- 0:23:19 Average standard deviation of split frequencies: 0.018932 391000 -- (-2425.287) (-2410.641) [-2381.623] (-2412.715) * [-2393.662] (-2402.881) (-2436.106) (-2394.480) -- 0:23:17 392000 -- [-2399.807] (-2401.457) (-2383.329) (-2429.451) * (-2382.034) (-2427.915) (-2419.626) [-2403.031] -- 0:23:14 393000 -- (-2397.681) [-2389.082] (-2400.552) (-2424.720) * (-2397.424) (-2401.437) (-2418.503) [-2393.377] -- 0:23:13 394000 -- (-2409.896) [-2409.581] (-2395.059) (-2464.496) * (-2419.189) (-2410.247) (-2422.417) [-2395.298] -- 0:23:10 395000 -- (-2399.698) (-2385.708) [-2391.964] (-2464.321) * (-2414.795) (-2425.753) (-2460.467) [-2403.239] -- 0:23:07 Average standard deviation of split frequencies: 0.018741 396000 -- [-2382.612] (-2396.296) (-2405.582) (-2443.882) * (-2434.668) [-2390.951] (-2442.006) (-2410.725) -- 0:23:06 397000 -- [-2386.685] (-2400.202) (-2428.864) (-2420.741) * (-2440.077) (-2406.791) (-2423.844) [-2402.241] -- 0:23:03 398000 -- [-2388.046] (-2408.648) (-2406.504) (-2445.795) * (-2415.389) (-2407.951) [-2404.295] (-2424.039) -- 0:23:00 399000 -- [-2383.669] (-2409.846) (-2423.480) (-2419.889) * (-2424.633) [-2389.769] (-2414.935) (-2432.081) -- 0:22:59 400000 -- [-2379.585] (-2410.792) (-2398.247) (-2440.992) * (-2435.254) (-2405.617) [-2401.478] (-2439.851) -- 0:22:57 Average standard deviation of split frequencies: 0.018695 401000 -- [-2384.422] (-2403.701) (-2399.523) (-2416.146) * (-2431.910) (-2410.136) [-2408.242] (-2465.414) -- 0:22:54 402000 -- (-2398.140) [-2395.135] (-2424.764) (-2435.144) * (-2421.475) (-2414.866) [-2393.962] (-2449.882) -- 0:22:53 403000 -- [-2380.295] (-2411.191) (-2421.577) (-2444.736) * (-2417.777) (-2422.778) [-2397.508] (-2466.783) -- 0:22:50 404000 -- [-2392.731] (-2415.349) (-2416.605) (-2433.699) * (-2406.296) (-2426.761) [-2400.652] (-2461.059) -- 0:22:47 405000 -- (-2401.259) [-2399.465] (-2461.813) (-2428.824) * (-2443.689) (-2420.757) [-2387.416] (-2430.995) -- 0:22:44 Average standard deviation of split frequencies: 0.018616 406000 -- (-2406.621) [-2385.311] (-2435.855) (-2435.643) * (-2424.385) (-2426.303) [-2383.060] (-2436.195) -- 0:22:43 407000 -- [-2384.217] (-2403.740) (-2452.881) (-2424.297) * (-2412.202) (-2425.673) [-2371.915] (-2436.782) -- 0:22:40 408000 -- (-2391.298) [-2390.793] (-2429.747) (-2452.677) * (-2406.309) [-2412.894] (-2395.513) (-2443.148) -- 0:22:38 409000 -- (-2392.659) [-2386.727] (-2432.863) (-2454.444) * (-2425.086) (-2412.782) [-2392.491] (-2455.652) -- 0:22:35 410000 -- (-2409.922) [-2382.961] (-2411.052) (-2453.355) * (-2426.045) (-2409.900) [-2391.398] (-2451.475) -- 0:22:34 Average standard deviation of split frequencies: 0.018481 411000 -- (-2411.442) [-2388.472] (-2395.849) (-2454.236) * (-2403.059) (-2412.524) [-2400.656] (-2441.724) -- 0:22:31 412000 -- (-2397.395) (-2413.378) [-2391.186] (-2426.329) * (-2407.056) (-2419.716) [-2397.876] (-2447.480) -- 0:22:28 413000 -- (-2387.610) [-2388.098] (-2399.586) (-2431.517) * (-2402.417) (-2400.614) [-2386.662] (-2455.406) -- 0:22:25 414000 -- [-2393.924] (-2389.126) (-2409.636) (-2421.528) * (-2418.667) [-2391.062] (-2391.067) (-2443.546) -- 0:22:24 415000 -- (-2400.590) [-2393.640] (-2433.133) (-2412.766) * (-2419.210) (-2381.250) [-2393.651] (-2459.861) -- 0:22:21 Average standard deviation of split frequencies: 0.018770 416000 -- (-2401.662) [-2390.897] (-2422.595) (-2413.969) * (-2425.039) [-2393.955] (-2386.892) (-2455.065) -- 0:22:19 417000 -- [-2387.592] (-2419.387) (-2414.292) (-2399.999) * (-2452.459) [-2409.903] (-2408.966) (-2451.398) -- 0:22:16 418000 -- [-2380.961] (-2406.626) (-2411.860) (-2427.566) * (-2455.389) (-2396.698) [-2392.790] (-2448.478) -- 0:22:15 419000 -- [-2393.307] (-2405.169) (-2410.752) (-2400.807) * (-2442.879) [-2397.532] (-2392.932) (-2430.092) -- 0:22:12 420000 -- (-2398.021) [-2382.285] (-2425.961) (-2419.828) * (-2434.781) (-2398.664) [-2380.063] (-2425.901) -- 0:22:09 Average standard deviation of split frequencies: 0.018722 421000 -- [-2389.827] (-2388.845) (-2430.559) (-2418.851) * (-2448.056) (-2393.569) [-2376.562] (-2425.369) -- 0:22:07 422000 -- (-2393.332) [-2390.381] (-2441.013) (-2401.583) * (-2441.097) [-2386.674] (-2394.337) (-2411.401) -- 0:22:05 423000 -- [-2402.363] (-2415.770) (-2433.065) (-2405.306) * (-2440.545) [-2399.682] (-2395.210) (-2405.441) -- 0:22:03 424000 -- (-2388.957) [-2391.700] (-2460.056) (-2405.133) * (-2451.267) (-2413.314) [-2381.203] (-2404.042) -- 0:22:00 425000 -- [-2379.015] (-2417.128) (-2443.715) (-2423.064) * (-2436.644) (-2420.371) [-2392.287] (-2421.827) -- 0:21:59 Average standard deviation of split frequencies: 0.018437 426000 -- [-2396.556] (-2418.364) (-2425.663) (-2427.529) * (-2423.539) (-2432.593) (-2395.422) [-2390.686] -- 0:21:56 427000 -- (-2404.279) (-2408.939) [-2401.481] (-2443.063) * (-2432.941) (-2424.833) [-2405.211] (-2405.101) -- 0:21:53 428000 -- [-2403.051] (-2416.833) (-2399.404) (-2429.526) * (-2428.048) (-2417.953) [-2395.790] (-2417.374) -- 0:21:52 429000 -- [-2405.248] (-2409.924) (-2390.295) (-2435.314) * (-2414.107) (-2420.474) [-2403.399] (-2420.374) -- 0:21:49 430000 -- (-2415.826) (-2416.897) [-2390.954] (-2450.134) * (-2434.025) (-2434.004) (-2407.742) [-2401.534] -- 0:21:47 Average standard deviation of split frequencies: 0.018421 431000 -- (-2411.920) (-2423.251) [-2374.698] (-2442.778) * (-2431.675) (-2429.432) [-2395.403] (-2405.071) -- 0:21:45 432000 -- [-2391.097] (-2451.086) (-2367.716) (-2419.998) * (-2442.427) (-2427.035) [-2380.151] (-2397.359) -- 0:21:42 433000 -- (-2400.435) (-2397.327) [-2378.619] (-2450.508) * (-2439.906) (-2411.541) [-2380.324] (-2403.620) -- 0:21:41 434000 -- (-2414.988) (-2394.133) [-2377.379] (-2429.753) * (-2440.091) (-2416.691) (-2419.796) [-2382.068] -- 0:21:38 435000 -- (-2429.116) (-2393.008) [-2382.602] (-2409.720) * (-2429.835) (-2402.753) (-2403.943) [-2388.884] -- 0:21:36 Average standard deviation of split frequencies: 0.018324 436000 -- (-2427.465) (-2393.965) [-2381.457] (-2410.856) * (-2454.454) (-2399.596) (-2390.460) [-2387.876] -- 0:21:34 437000 -- (-2462.707) (-2394.312) [-2375.352] (-2424.070) * (-2424.227) [-2387.350] (-2397.921) (-2404.787) -- 0:21:32 438000 -- (-2459.126) (-2426.287) [-2393.736] (-2414.258) * (-2407.932) [-2387.315] (-2425.986) (-2401.126) -- 0:21:29 439000 -- (-2438.745) (-2417.092) [-2385.633] (-2391.637) * (-2404.425) [-2382.167] (-2428.525) (-2397.253) -- 0:21:28 440000 -- (-2452.159) (-2425.813) [-2382.667] (-2391.499) * (-2410.701) (-2394.613) (-2443.628) [-2393.507] -- 0:21:25 Average standard deviation of split frequencies: 0.018527 441000 -- (-2428.564) (-2432.406) [-2394.363] (-2413.117) * (-2415.985) [-2375.512] (-2426.011) (-2393.041) -- 0:21:22 442000 -- (-2423.560) (-2428.842) [-2377.201] (-2412.084) * (-2424.295) [-2383.731] (-2420.153) (-2390.848) -- 0:21:21 443000 -- (-2408.381) (-2426.547) [-2378.346] (-2407.463) * (-2410.306) [-2381.921] (-2452.326) (-2391.865) -- 0:21:18 444000 -- (-2407.724) (-2437.629) [-2390.550] (-2407.017) * (-2413.984) (-2404.380) (-2430.354) [-2401.501] -- 0:21:16 445000 -- (-2398.006) (-2454.815) [-2392.187] (-2404.586) * [-2396.986] (-2405.509) (-2435.380) (-2394.143) -- 0:21:14 Average standard deviation of split frequencies: 0.018906 446000 -- (-2434.658) (-2437.606) (-2391.846) [-2400.525] * (-2397.894) (-2433.955) (-2420.018) [-2401.460] -- 0:21:11 447000 -- (-2468.805) (-2418.979) [-2390.065] (-2412.778) * (-2391.061) (-2399.909) (-2431.594) [-2402.004] -- 0:21:09 448000 -- (-2428.322) [-2403.461] (-2386.323) (-2413.219) * (-2415.713) (-2412.757) (-2441.197) [-2405.443] -- 0:21:07 449000 -- (-2425.856) (-2426.064) [-2390.367] (-2416.168) * (-2402.208) (-2407.679) (-2437.741) [-2405.154] -- 0:21:05 450000 -- (-2445.335) (-2440.534) [-2398.450] (-2406.445) * (-2405.740) (-2422.288) (-2431.754) [-2410.473] -- 0:21:02 Average standard deviation of split frequencies: 0.018782 451000 -- (-2454.288) (-2413.108) [-2387.566] (-2419.971) * (-2439.627) (-2418.029) (-2409.709) [-2392.929] -- 0:21:01 452000 -- (-2430.082) (-2398.777) [-2398.319] (-2429.521) * (-2427.206) (-2424.960) (-2428.201) [-2399.380] -- 0:20:58 453000 -- [-2400.872] (-2404.664) (-2405.120) (-2446.345) * (-2424.557) (-2444.629) (-2434.443) [-2384.152] -- 0:20:55 454000 -- (-2422.139) (-2415.701) [-2394.429] (-2445.725) * (-2436.359) (-2471.464) (-2407.982) [-2390.993] -- 0:20:53 455000 -- (-2418.776) [-2403.451] (-2394.447) (-2438.358) * (-2425.253) (-2435.820) [-2396.602] (-2386.111) -- 0:20:51 Average standard deviation of split frequencies: 0.018345 456000 -- (-2444.394) [-2390.553] (-2390.634) (-2448.815) * (-2425.934) (-2457.382) (-2400.018) [-2381.504] -- 0:20:49 457000 -- (-2436.099) (-2388.880) [-2393.993] (-2453.099) * (-2417.305) (-2467.181) (-2416.542) [-2392.711] -- 0:20:46 458000 -- (-2399.823) (-2402.239) [-2396.802] (-2430.605) * (-2420.796) (-2450.784) (-2385.601) [-2387.793] -- 0:20:44 459000 -- (-2417.334) (-2400.585) [-2385.828] (-2436.210) * (-2415.574) (-2455.253) [-2407.378] (-2399.370) -- 0:20:42 460000 -- (-2405.142) (-2426.918) [-2396.836] (-2418.522) * (-2412.853) (-2427.680) (-2399.875) [-2393.193] -- 0:20:39 Average standard deviation of split frequencies: 0.018598 461000 -- (-2410.061) (-2441.054) [-2392.710] (-2439.798) * (-2452.803) (-2445.612) (-2396.638) [-2403.033] -- 0:20:38 462000 -- [-2398.405] (-2434.115) (-2398.462) (-2425.417) * (-2443.042) (-2424.625) [-2387.141] (-2410.130) -- 0:20:35 463000 -- [-2377.386] (-2452.923) (-2410.680) (-2421.869) * (-2455.772) (-2425.778) [-2385.803] (-2411.246) -- 0:20:32 464000 -- [-2380.554] (-2442.946) (-2402.786) (-2420.359) * (-2465.915) (-2410.681) [-2376.739] (-2399.618) -- 0:20:31 465000 -- [-2390.935] (-2446.779) (-2400.595) (-2430.074) * (-2450.131) (-2407.019) [-2375.104] (-2407.201) -- 0:20:28 Average standard deviation of split frequencies: 0.018409 466000 -- [-2397.695] (-2451.266) (-2419.557) (-2430.918) * (-2440.174) (-2405.066) (-2386.359) [-2383.894] -- 0:20:26 467000 -- (-2406.819) (-2441.958) [-2391.115] (-2429.513) * (-2434.058) (-2400.886) (-2379.471) [-2376.450] -- 0:20:24 468000 -- (-2413.565) (-2399.553) [-2384.449] (-2446.605) * (-2456.430) (-2400.456) (-2383.668) [-2380.292] -- 0:20:22 469000 -- (-2435.280) [-2409.045] (-2412.393) (-2432.289) * (-2480.257) (-2396.690) (-2375.923) [-2377.966] -- 0:20:19 470000 -- (-2443.995) (-2398.334) [-2396.511] (-2431.121) * (-2450.365) (-2399.565) (-2390.529) [-2377.812] -- 0:20:17 Average standard deviation of split frequencies: 0.018322 471000 -- (-2422.767) (-2389.648) [-2389.245] (-2446.224) * (-2441.115) (-2411.472) (-2414.835) [-2374.846] -- 0:20:15 472000 -- (-2412.992) [-2392.009] (-2399.714) (-2443.990) * (-2467.662) (-2393.375) (-2402.636) [-2379.274] -- 0:20:12 473000 -- (-2428.820) (-2422.639) (-2388.215) [-2401.926] * (-2477.744) [-2391.178] (-2425.027) (-2377.815) -- 0:20:11 474000 -- (-2431.387) (-2401.075) [-2383.512] (-2424.790) * (-2471.603) (-2400.328) (-2428.739) [-2374.005] -- 0:20:08 475000 -- (-2448.321) (-2404.601) [-2387.178] (-2420.698) * (-2451.985) (-2403.437) (-2430.897) [-2384.398] -- 0:20:06 Average standard deviation of split frequencies: 0.018059 476000 -- (-2435.175) (-2401.999) (-2399.120) [-2380.892] * (-2440.354) [-2398.035] (-2408.884) (-2393.136) -- 0:20:04 477000 -- (-2471.328) (-2409.831) (-2396.624) [-2380.342] * (-2418.506) (-2420.575) (-2449.433) [-2397.362] -- 0:20:01 478000 -- (-2470.912) (-2425.663) [-2399.720] (-2424.631) * (-2436.532) (-2421.822) (-2412.026) [-2398.607] -- 0:19:59 479000 -- (-2437.908) (-2403.618) (-2414.560) [-2390.978] * (-2475.990) (-2423.322) [-2416.786] (-2418.152) -- 0:19:57 480000 -- (-2442.208) [-2404.719] (-2429.429) (-2389.301) * (-2468.428) (-2423.363) [-2396.219] (-2405.219) -- 0:19:54 Average standard deviation of split frequencies: 0.017986 481000 -- (-2427.667) (-2406.574) (-2409.756) [-2383.963] * (-2433.505) (-2457.104) [-2398.732] (-2394.052) -- 0:19:52 482000 -- (-2433.295) (-2412.128) (-2404.618) [-2391.072] * (-2403.665) [-2414.336] (-2415.757) (-2393.209) -- 0:19:50 483000 -- (-2422.261) (-2402.955) (-2430.674) [-2404.512] * (-2405.991) (-2405.282) (-2393.718) [-2387.272] -- 0:19:48 484000 -- (-2414.554) [-2402.898] (-2409.722) (-2443.037) * (-2431.113) (-2414.961) [-2382.186] (-2382.848) -- 0:19:45 485000 -- (-2431.276) (-2399.987) [-2390.351] (-2438.848) * (-2427.512) (-2437.266) [-2388.793] (-2396.745) -- 0:19:42 Average standard deviation of split frequencies: 0.018038 486000 -- (-2451.227) (-2397.388) [-2397.913] (-2462.542) * (-2407.616) (-2434.585) [-2375.849] (-2413.145) -- 0:19:41 487000 -- (-2413.636) [-2395.955] (-2405.368) (-2436.591) * (-2394.972) (-2423.815) [-2390.433] (-2443.125) -- 0:19:38 488000 -- (-2404.980) [-2401.709] (-2412.772) (-2417.298) * (-2416.389) (-2470.952) [-2408.091] (-2410.694) -- 0:19:36 489000 -- (-2430.106) (-2418.269) (-2411.166) [-2400.723] * (-2400.883) (-2443.723) [-2399.550] (-2402.002) -- 0:19:34 490000 -- (-2397.657) (-2435.006) (-2402.101) [-2376.609] * (-2430.624) (-2448.201) (-2400.538) [-2390.336] -- 0:19:31 Average standard deviation of split frequencies: 0.018220 491000 -- (-2387.035) (-2441.571) (-2427.077) [-2381.023] * (-2419.152) (-2438.006) (-2418.418) [-2386.962] -- 0:19:29 492000 -- [-2374.121] (-2435.395) (-2392.457) (-2419.597) * (-2415.295) (-2429.548) (-2423.942) [-2389.674] -- 0:19:26 493000 -- [-2378.732] (-2424.933) (-2407.387) (-2408.209) * (-2422.468) (-2411.105) (-2424.752) [-2384.451] -- 0:19:25 494000 -- [-2372.465] (-2418.134) (-2430.429) (-2430.135) * (-2419.703) (-2409.298) (-2408.735) [-2400.846] -- 0:19:22 495000 -- (-2400.984) [-2412.479] (-2460.535) (-2410.716) * [-2397.484] (-2411.827) (-2434.212) (-2411.037) -- 0:19:19 Average standard deviation of split frequencies: 0.018546 496000 -- (-2411.254) (-2402.481) (-2441.828) [-2405.650] * [-2395.505] (-2425.603) (-2465.841) (-2415.905) -- 0:19:18 497000 -- (-2400.226) (-2394.927) (-2452.357) [-2384.272] * [-2383.879] (-2391.027) (-2464.499) (-2403.156) -- 0:19:15 498000 -- [-2387.861] (-2399.654) (-2440.392) (-2408.608) * (-2408.911) (-2392.435) (-2452.828) [-2386.360] -- 0:19:13 499000 -- (-2405.756) (-2414.414) (-2417.527) [-2390.737] * (-2389.404) (-2393.410) (-2458.161) [-2397.520] -- 0:19:11 500000 -- (-2392.919) (-2415.378) (-2427.831) [-2375.563] * [-2378.424] (-2377.982) (-2448.199) (-2418.419) -- 0:19:09 Average standard deviation of split frequencies: 0.018415 501000 -- (-2427.725) (-2409.759) (-2413.104) [-2405.330] * [-2392.532] (-2382.721) (-2431.228) (-2417.837) -- 0:19:06 502000 -- (-2403.293) (-2411.197) (-2428.286) [-2405.194] * (-2395.784) [-2380.285] (-2432.224) (-2410.061) -- 0:19:04 503000 -- (-2388.374) (-2403.106) (-2438.774) [-2390.532] * [-2391.465] (-2387.119) (-2422.713) (-2415.127) -- 0:19:02 504000 -- (-2397.912) (-2402.709) (-2424.430) [-2388.418] * (-2393.418) [-2393.939] (-2415.436) (-2430.900) -- 0:18:59 505000 -- [-2386.450] (-2395.054) (-2449.922) (-2403.302) * [-2392.139] (-2396.498) (-2435.923) (-2415.582) -- 0:18:58 Average standard deviation of split frequencies: 0.018248 506000 -- [-2376.095] (-2405.770) (-2413.938) (-2399.065) * [-2393.271] (-2390.441) (-2429.895) (-2434.461) -- 0:18:55 507000 -- [-2376.453] (-2405.042) (-2438.704) (-2401.620) * (-2388.980) (-2383.952) (-2458.021) [-2407.527] -- 0:18:52 508000 -- [-2378.124] (-2407.021) (-2437.245) (-2401.363) * [-2368.676] (-2382.846) (-2475.846) (-2419.439) -- 0:18:51 509000 -- [-2378.511] (-2406.502) (-2448.605) (-2404.642) * [-2369.355] (-2379.062) (-2491.666) (-2424.607) -- 0:18:48 510000 -- (-2386.144) (-2406.491) (-2448.633) [-2390.577] * [-2378.775] (-2385.283) (-2442.009) (-2435.561) -- 0:18:46 Average standard deviation of split frequencies: 0.018242 511000 -- [-2391.091] (-2421.988) (-2415.730) (-2402.363) * [-2381.822] (-2395.287) (-2432.868) (-2439.781) -- 0:18:44 512000 -- (-2399.897) (-2416.427) (-2439.635) [-2389.390] * (-2386.701) [-2398.279] (-2414.833) (-2435.656) -- 0:18:41 513000 -- (-2412.532) (-2418.332) (-2449.790) [-2407.852] * [-2393.064] (-2402.556) (-2421.358) (-2455.615) -- 0:18:40 514000 -- (-2410.014) (-2398.166) (-2433.735) [-2401.119] * [-2388.536] (-2397.651) (-2419.392) (-2439.473) -- 0:18:37 515000 -- (-2423.431) (-2393.622) (-2463.679) [-2405.980] * [-2385.603] (-2402.733) (-2413.439) (-2430.925) -- 0:18:35 Average standard deviation of split frequencies: 0.018230 516000 -- [-2407.422] (-2392.757) (-2447.913) (-2409.763) * [-2401.034] (-2405.062) (-2432.130) (-2433.228) -- 0:18:32 517000 -- (-2389.958) [-2385.249] (-2443.195) (-2409.350) * [-2402.867] (-2412.718) (-2418.526) (-2425.982) -- 0:18:30 518000 -- [-2385.608] (-2406.240) (-2443.434) (-2405.457) * [-2404.023] (-2426.449) (-2419.776) (-2404.082) -- 0:18:28 519000 -- [-2387.236] (-2390.915) (-2419.990) (-2411.223) * [-2396.181] (-2435.097) (-2432.971) (-2395.493) -- 0:18:25 520000 -- (-2399.561) [-2386.800] (-2437.608) (-2423.941) * (-2393.790) (-2421.364) (-2427.082) [-2402.411] -- 0:18:24 Average standard deviation of split frequencies: 0.018166 521000 -- (-2377.283) [-2384.388] (-2441.203) (-2405.908) * [-2396.743] (-2397.729) (-2448.211) (-2413.696) -- 0:18:21 522000 -- [-2361.166] (-2392.916) (-2458.411) (-2421.902) * (-2399.061) [-2393.699] (-2426.259) (-2432.712) -- 0:18:18 523000 -- [-2383.845] (-2395.974) (-2434.449) (-2419.127) * (-2411.861) [-2400.548] (-2420.785) (-2400.605) -- 0:18:16 524000 -- [-2378.967] (-2412.710) (-2440.612) (-2400.833) * (-2396.812) [-2404.011] (-2446.265) (-2415.909) -- 0:18:14 525000 -- [-2393.292] (-2422.098) (-2453.285) (-2408.045) * [-2402.669] (-2404.867) (-2446.592) (-2429.852) -- 0:18:12 Average standard deviation of split frequencies: 0.017545 526000 -- (-2401.256) [-2383.481] (-2440.895) (-2410.817) * (-2411.424) [-2392.410] (-2421.147) (-2442.688) -- 0:18:09 527000 -- (-2412.682) [-2384.550] (-2438.279) (-2435.555) * (-2420.658) [-2407.720] (-2413.031) (-2462.575) -- 0:18:06 528000 -- (-2414.546) [-2393.006] (-2418.907) (-2421.027) * [-2394.591] (-2405.166) (-2415.753) (-2456.056) -- 0:18:05 529000 -- (-2411.724) [-2388.771] (-2413.717) (-2426.277) * (-2405.461) [-2393.628] (-2428.456) (-2463.847) -- 0:18:02 530000 -- (-2413.587) [-2388.171] (-2404.794) (-2440.578) * [-2393.961] (-2394.255) (-2437.386) (-2457.252) -- 0:18:00 Average standard deviation of split frequencies: 0.017030 531000 -- (-2419.341) [-2383.457] (-2420.075) (-2446.245) * [-2400.357] (-2388.725) (-2420.662) (-2456.380) -- 0:17:57 532000 -- (-2401.050) [-2386.323] (-2420.342) (-2435.253) * [-2398.514] (-2394.236) (-2422.151) (-2480.130) -- 0:17:55 533000 -- (-2403.712) [-2379.724] (-2427.981) (-2418.299) * [-2396.592] (-2397.651) (-2420.164) (-2461.512) -- 0:17:53 534000 -- (-2394.245) [-2386.149] (-2436.124) (-2435.441) * (-2396.822) [-2396.716] (-2429.591) (-2436.216) -- 0:17:50 535000 -- [-2392.786] (-2408.769) (-2409.641) (-2440.800) * (-2411.984) [-2379.983] (-2410.202) (-2435.018) -- 0:17:49 Average standard deviation of split frequencies: 0.016494 536000 -- (-2396.263) [-2407.437] (-2439.550) (-2418.843) * (-2392.003) [-2404.408] (-2432.345) (-2436.043) -- 0:17:46 537000 -- (-2404.789) [-2407.031] (-2423.894) (-2420.611) * (-2377.715) [-2380.826] (-2402.426) (-2439.951) -- 0:17:43 538000 -- (-2428.764) (-2384.710) [-2403.389] (-2431.313) * (-2392.232) [-2390.434] (-2402.109) (-2409.316) -- 0:17:42 539000 -- (-2434.683) [-2398.307] (-2402.294) (-2423.315) * (-2400.309) [-2396.898] (-2416.978) (-2417.251) -- 0:17:39 540000 -- (-2423.743) (-2398.995) [-2395.336] (-2423.358) * [-2390.592] (-2397.773) (-2420.916) (-2424.096) -- 0:17:38 Average standard deviation of split frequencies: 0.016470 541000 -- (-2417.269) (-2401.214) [-2390.492] (-2413.327) * [-2381.371] (-2419.554) (-2409.128) (-2406.391) -- 0:17:35 542000 -- (-2400.737) [-2397.308] (-2400.830) (-2405.392) * [-2379.506] (-2425.892) (-2454.005) (-2389.442) -- 0:17:32 543000 -- [-2381.220] (-2408.326) (-2402.653) (-2397.371) * (-2386.796) [-2408.614] (-2445.839) (-2418.079) -- 0:17:31 544000 -- [-2387.262] (-2408.798) (-2416.494) (-2420.274) * [-2408.442] (-2410.290) (-2433.282) (-2411.349) -- 0:17:28 545000 -- (-2417.402) [-2397.800] (-2417.896) (-2406.096) * [-2396.709] (-2409.701) (-2437.946) (-2406.239) -- 0:17:26 Average standard deviation of split frequencies: 0.016600 546000 -- (-2381.231) [-2399.954] (-2414.911) (-2421.228) * (-2420.349) (-2380.391) (-2467.401) [-2382.351] -- 0:17:24 547000 -- [-2391.711] (-2425.286) (-2414.093) (-2398.533) * (-2430.935) [-2384.637] (-2414.124) (-2383.413) -- 0:17:21 548000 -- [-2387.943] (-2425.203) (-2434.884) (-2408.760) * (-2453.559) (-2409.311) [-2400.520] (-2414.253) -- 0:17:19 549000 -- [-2395.675] (-2430.551) (-2406.426) (-2419.867) * (-2487.905) (-2418.853) [-2399.413] (-2397.881) -- 0:17:17 550000 -- (-2414.495) (-2446.241) (-2415.895) [-2392.602] * (-2451.263) (-2428.095) [-2397.199] (-2394.635) -- 0:17:15 Average standard deviation of split frequencies: 0.016864 551000 -- (-2405.373) (-2436.890) (-2404.429) [-2387.962] * (-2428.394) (-2392.695) [-2382.767] (-2401.577) -- 0:17:13 552000 -- (-2425.579) (-2419.298) (-2403.612) [-2397.214] * (-2429.282) [-2386.432] (-2397.791) (-2403.600) -- 0:17:10 553000 -- (-2415.935) (-2433.693) (-2410.965) [-2389.636] * (-2471.200) [-2389.070] (-2404.621) (-2442.476) -- 0:17:08 554000 -- (-2403.376) (-2418.683) (-2410.790) [-2386.625] * (-2448.701) [-2380.686] (-2414.434) (-2406.882) -- 0:17:05 555000 -- (-2406.089) (-2415.644) (-2430.994) [-2387.491] * (-2458.391) [-2389.877] (-2449.117) (-2397.007) -- 0:17:03 Average standard deviation of split frequencies: 0.016847 556000 -- [-2395.499] (-2418.614) (-2410.522) (-2404.038) * (-2450.722) [-2370.085] (-2427.944) (-2408.673) -- 0:17:01 557000 -- (-2398.104) (-2397.929) [-2403.274] (-2411.349) * (-2443.066) (-2380.337) (-2421.965) [-2392.361] -- 0:16:58 558000 -- (-2400.225) (-2404.847) [-2390.013] (-2418.744) * (-2428.087) [-2386.959] (-2425.240) (-2401.686) -- 0:16:57 559000 -- (-2402.285) (-2431.362) [-2401.580] (-2425.708) * (-2446.795) [-2393.614] (-2414.523) (-2402.216) -- 0:16:54 560000 -- [-2402.197] (-2417.131) (-2435.948) (-2409.129) * (-2447.423) (-2388.761) (-2418.654) [-2386.984] -- 0:16:52 Average standard deviation of split frequencies: 0.017302 561000 -- (-2433.452) (-2398.480) (-2418.431) [-2397.880] * (-2459.360) [-2389.245] (-2408.796) (-2411.275) -- 0:16:49 562000 -- (-2447.518) (-2393.119) (-2431.346) [-2393.394] * (-2451.490) [-2385.694] (-2419.162) (-2398.946) -- 0:16:47 563000 -- (-2429.857) (-2422.093) (-2396.897) [-2403.263] * (-2439.708) [-2386.120] (-2426.795) (-2409.929) -- 0:16:45 564000 -- (-2414.162) (-2436.332) (-2401.316) [-2397.773] * (-2442.800) [-2371.266] (-2428.220) (-2418.964) -- 0:16:42 565000 -- (-2446.472) (-2436.985) (-2409.401) [-2406.418] * (-2445.081) [-2392.903] (-2403.358) (-2411.082) -- 0:16:40 Average standard deviation of split frequencies: 0.017256 566000 -- (-2423.872) (-2458.620) [-2394.311] (-2382.062) * (-2415.633) [-2387.796] (-2410.723) (-2435.467) -- 0:16:38 567000 -- (-2422.686) (-2458.460) [-2390.954] (-2382.050) * (-2412.338) [-2385.491] (-2436.147) (-2440.972) -- 0:16:35 568000 -- (-2409.509) (-2447.306) [-2385.834] (-2398.782) * (-2423.386) [-2386.066] (-2458.493) (-2428.625) -- 0:16:34 569000 -- (-2438.148) (-2423.841) (-2403.762) [-2374.105] * (-2425.346) [-2385.093] (-2419.657) (-2415.917) -- 0:16:31 570000 -- (-2441.167) (-2423.158) (-2408.018) [-2381.625] * (-2450.165) (-2393.450) (-2434.206) [-2410.652] -- 0:16:29 Average standard deviation of split frequencies: 0.017794 571000 -- (-2445.525) (-2427.219) (-2414.830) [-2377.110] * (-2416.368) (-2416.037) (-2429.437) [-2398.437] -- 0:16:27 572000 -- (-2439.482) (-2429.169) (-2426.884) [-2377.069] * (-2400.189) (-2429.443) (-2438.423) [-2395.437] -- 0:16:24 573000 -- (-2434.869) (-2472.482) (-2428.322) [-2378.529] * (-2410.535) (-2441.571) [-2408.354] (-2405.948) -- 0:16:22 574000 -- (-2418.498) (-2493.164) (-2434.556) [-2383.783] * [-2414.763] (-2435.926) (-2408.518) (-2425.579) -- 0:16:20 575000 -- [-2404.716] (-2463.092) (-2458.466) (-2407.649) * [-2397.014] (-2448.663) (-2422.629) (-2412.267) -- 0:16:17 Average standard deviation of split frequencies: 0.017743 576000 -- (-2397.607) (-2468.249) (-2434.915) [-2390.222] * [-2410.993] (-2447.092) (-2422.344) (-2415.007) -- 0:16:15 577000 -- [-2404.061] (-2457.040) (-2444.566) (-2394.429) * [-2405.471] (-2441.155) (-2405.512) (-2431.605) -- 0:16:13 578000 -- (-2427.154) (-2425.971) (-2414.448) [-2397.199] * [-2396.448] (-2434.818) (-2417.382) (-2434.580) -- 0:16:11 579000 -- (-2438.641) (-2414.657) (-2427.082) [-2385.425] * [-2396.629] (-2416.774) (-2422.182) (-2443.661) -- 0:16:08 580000 -- (-2433.485) (-2395.875) (-2422.901) [-2381.178] * [-2393.117] (-2412.634) (-2428.232) (-2432.435) -- 0:16:06 Average standard deviation of split frequencies: 0.017783 581000 -- (-2451.295) [-2382.818] (-2409.432) (-2399.506) * (-2401.560) [-2382.737] (-2434.727) (-2444.512) -- 0:16:04 582000 -- (-2457.896) (-2396.128) (-2414.265) [-2374.175] * (-2409.498) [-2380.950] (-2459.130) (-2445.639) -- 0:16:01 583000 -- (-2479.822) (-2393.764) (-2401.519) [-2398.286] * (-2417.435) [-2386.482] (-2463.749) (-2420.430) -- 0:15:59 584000 -- (-2472.426) (-2408.552) (-2417.690) [-2387.116] * (-2417.430) [-2398.116] (-2480.575) (-2408.390) -- 0:15:57 585000 -- (-2494.949) (-2419.304) (-2408.291) [-2380.228] * (-2418.019) (-2395.577) (-2456.446) [-2397.820] -- 0:15:54 Average standard deviation of split frequencies: 0.017705 586000 -- (-2478.061) (-2399.086) (-2408.997) [-2384.231] * (-2425.571) (-2388.246) (-2459.765) [-2414.231] -- 0:15:53 587000 -- (-2463.296) (-2396.239) (-2403.632) [-2387.124] * (-2411.943) [-2380.827] (-2455.623) (-2412.139) -- 0:15:50 588000 -- (-2459.766) (-2433.985) [-2393.170] (-2392.637) * (-2409.207) [-2389.565] (-2467.362) (-2415.371) -- 0:15:48 589000 -- (-2461.840) (-2430.580) [-2386.998] (-2402.507) * (-2399.749) [-2393.064] (-2456.294) (-2431.161) -- 0:15:45 590000 -- (-2464.159) [-2400.727] (-2391.858) (-2405.688) * (-2412.901) [-2392.309] (-2457.924) (-2414.018) -- 0:15:43 Average standard deviation of split frequencies: 0.017588 591000 -- (-2445.336) [-2392.133] (-2406.004) (-2413.693) * (-2400.663) [-2393.326] (-2441.924) (-2410.090) -- 0:15:41 592000 -- (-2437.253) [-2387.861] (-2404.489) (-2442.641) * [-2401.827] (-2394.626) (-2445.640) (-2433.204) -- 0:15:38 593000 -- (-2469.331) [-2394.126] (-2401.831) (-2419.257) * [-2389.368] (-2394.436) (-2441.612) (-2429.211) -- 0:15:36 594000 -- (-2430.136) [-2382.341] (-2392.310) (-2400.961) * (-2388.841) [-2380.281] (-2436.290) (-2414.172) -- 0:15:34 595000 -- (-2450.002) [-2390.768] (-2391.238) (-2416.259) * [-2400.495] (-2385.949) (-2419.992) (-2449.682) -- 0:15:31 Average standard deviation of split frequencies: 0.017856 596000 -- (-2461.375) (-2376.856) [-2395.730] (-2412.983) * [-2391.464] (-2390.754) (-2419.643) (-2435.505) -- 0:15:30 597000 -- (-2460.362) (-2395.353) [-2378.124] (-2429.739) * (-2408.517) [-2387.424] (-2416.199) (-2448.012) -- 0:15:27 598000 -- (-2457.216) [-2387.080] (-2397.743) (-2423.438) * [-2392.084] (-2384.307) (-2435.599) (-2429.896) -- 0:15:25 599000 -- (-2425.700) [-2376.407] (-2395.936) (-2447.449) * (-2399.006) [-2375.891] (-2428.716) (-2448.441) -- 0:15:22 600000 -- (-2466.885) [-2381.279] (-2404.747) (-2420.160) * (-2397.737) [-2387.011] (-2442.721) (-2422.278) -- 0:15:20 Average standard deviation of split frequencies: 0.018095 601000 -- (-2448.539) [-2390.224] (-2403.257) (-2401.915) * (-2391.324) [-2386.174] (-2430.711) (-2438.140) -- 0:15:18 602000 -- (-2432.332) [-2379.065] (-2429.429) (-2408.264) * [-2386.595] (-2396.315) (-2431.958) (-2417.132) -- 0:15:15 603000 -- (-2429.775) [-2383.327] (-2439.127) (-2391.981) * [-2385.240] (-2406.239) (-2425.855) (-2416.093) -- 0:15:13 604000 -- (-2473.878) [-2387.812] (-2435.116) (-2404.649) * [-2374.521] (-2384.482) (-2426.877) (-2408.152) -- 0:15:11 605000 -- (-2440.008) [-2391.790] (-2440.269) (-2379.198) * [-2369.023] (-2390.799) (-2420.180) (-2414.322) -- 0:15:08 Average standard deviation of split frequencies: 0.018139 606000 -- (-2462.625) [-2394.453] (-2431.071) (-2399.198) * [-2382.380] (-2412.950) (-2420.757) (-2411.641) -- 0:15:06 607000 -- (-2468.189) [-2406.721] (-2406.235) (-2406.907) * [-2383.985] (-2392.099) (-2449.141) (-2401.109) -- 0:15:04 608000 -- (-2458.940) (-2397.128) (-2435.010) [-2386.658] * (-2399.994) (-2386.312) (-2451.809) [-2407.120] -- 0:15:01 609000 -- (-2469.013) [-2388.806] (-2412.117) (-2386.596) * [-2390.609] (-2398.368) (-2465.591) (-2396.667) -- 0:14:59 610000 -- (-2450.153) [-2392.194] (-2411.185) (-2388.372) * (-2384.221) (-2404.865) (-2441.515) [-2396.372] -- 0:14:57 Average standard deviation of split frequencies: 0.018327 611000 -- (-2440.709) [-2400.871] (-2410.310) (-2377.757) * (-2407.079) (-2397.335) (-2417.993) [-2382.194] -- 0:14:55 612000 -- (-2430.339) (-2406.167) (-2437.211) [-2388.416] * (-2414.856) (-2399.009) (-2415.353) [-2384.933] -- 0:14:52 613000 -- (-2433.107) (-2403.724) (-2448.788) [-2381.080] * (-2434.342) [-2404.301] (-2413.534) (-2410.900) -- 0:14:50 614000 -- (-2432.393) (-2414.881) (-2431.052) [-2383.843] * (-2436.408) (-2401.335) (-2415.004) [-2404.891] -- 0:14:48 615000 -- (-2439.505) (-2402.381) (-2435.390) [-2398.133] * (-2427.481) (-2402.568) (-2414.665) [-2400.994] -- 0:14:45 Average standard deviation of split frequencies: 0.017929 616000 -- (-2440.478) (-2384.039) (-2431.530) [-2381.753] * (-2401.591) [-2397.924] (-2424.397) (-2404.027) -- 0:14:43 617000 -- (-2438.124) [-2378.280] (-2432.478) (-2391.945) * (-2394.908) (-2393.724) (-2448.092) [-2390.837] -- 0:14:41 618000 -- (-2453.533) (-2392.079) (-2448.787) [-2385.654] * [-2394.155] (-2410.566) (-2440.774) (-2377.276) -- 0:14:38 619000 -- (-2442.817) (-2402.575) (-2438.290) [-2386.349] * [-2407.137] (-2429.181) (-2444.327) (-2400.086) -- 0:14:36 620000 -- (-2418.935) [-2407.269] (-2419.577) (-2406.497) * [-2380.098] (-2405.259) (-2428.178) (-2397.873) -- 0:14:34 Average standard deviation of split frequencies: 0.017434 621000 -- (-2431.300) (-2432.090) (-2409.249) [-2399.314] * [-2383.074] (-2409.927) (-2425.373) (-2408.902) -- 0:14:32 622000 -- (-2425.626) (-2440.124) (-2418.018) [-2391.142] * [-2376.935] (-2413.333) (-2439.274) (-2401.550) -- 0:14:30 623000 -- (-2442.429) (-2403.453) (-2423.855) [-2399.036] * (-2381.070) (-2424.086) (-2399.990) [-2404.510] -- 0:14:27 624000 -- (-2420.535) [-2404.089] (-2413.311) (-2395.130) * (-2414.089) [-2395.319] (-2409.050) (-2411.847) -- 0:14:25 625000 -- (-2441.588) [-2390.455] (-2393.671) (-2404.927) * (-2409.307) [-2381.925] (-2405.979) (-2415.002) -- 0:14:23 Average standard deviation of split frequencies: 0.017022 626000 -- (-2408.054) (-2393.076) [-2387.457] (-2429.765) * (-2409.229) [-2383.513] (-2432.170) (-2430.516) -- 0:14:20 627000 -- (-2415.205) (-2392.731) [-2383.368] (-2454.337) * (-2414.207) [-2392.962] (-2407.073) (-2450.627) -- 0:14:18 628000 -- (-2401.773) [-2393.168] (-2415.527) (-2402.608) * (-2395.651) [-2394.501] (-2411.188) (-2453.487) -- 0:14:16 629000 -- (-2423.653) (-2412.791) (-2411.242) [-2384.166] * (-2391.507) [-2408.991] (-2408.962) (-2432.413) -- 0:14:14 630000 -- (-2430.226) (-2415.054) (-2410.169) [-2374.703] * (-2400.147) (-2412.961) [-2385.758] (-2449.053) -- 0:14:11 Average standard deviation of split frequencies: 0.016945 631000 -- (-2436.805) (-2393.018) (-2417.641) [-2372.730] * (-2402.151) (-2416.101) [-2388.288] (-2448.047) -- 0:14:09 632000 -- (-2435.910) (-2413.069) (-2409.814) [-2381.082] * (-2393.889) [-2400.368] (-2400.639) (-2430.209) -- 0:14:07 633000 -- (-2426.335) (-2392.779) (-2430.369) [-2400.570] * (-2388.960) (-2416.997) [-2399.940] (-2449.013) -- 0:14:04 634000 -- (-2394.663) [-2387.190] (-2427.590) (-2395.785) * (-2391.963) [-2390.628] (-2406.087) (-2432.730) -- 0:14:02 635000 -- (-2392.052) [-2388.630] (-2426.130) (-2428.511) * [-2390.832] (-2385.084) (-2414.207) (-2449.588) -- 0:14:00 Average standard deviation of split frequencies: 0.017689 636000 -- (-2408.642) [-2391.366] (-2430.369) (-2396.876) * [-2390.044] (-2400.519) (-2384.837) (-2465.528) -- 0:13:57 637000 -- (-2420.358) (-2411.785) (-2411.265) [-2384.346] * [-2383.949] (-2416.229) (-2383.866) (-2468.691) -- 0:13:55 638000 -- (-2417.935) (-2408.848) (-2436.813) [-2377.098] * [-2387.920] (-2406.654) (-2384.112) (-2478.795) -- 0:13:53 639000 -- (-2423.234) (-2402.739) (-2427.256) [-2372.592] * [-2390.989] (-2444.359) (-2392.436) (-2451.161) -- 0:13:51 640000 -- (-2400.906) (-2426.455) (-2405.872) [-2383.230] * (-2410.013) (-2420.581) [-2380.186] (-2478.779) -- 0:13:48 Average standard deviation of split frequencies: 0.017053 641000 -- (-2420.977) (-2422.262) [-2400.102] (-2378.010) * [-2403.213] (-2426.707) (-2410.176) (-2459.855) -- 0:13:46 642000 -- (-2423.871) (-2423.275) (-2415.957) [-2384.694] * (-2394.013) (-2424.614) [-2405.680] (-2432.236) -- 0:13:44 643000 -- (-2401.982) (-2431.454) (-2407.973) [-2383.473] * (-2395.601) (-2421.805) [-2391.479] (-2450.197) -- 0:13:41 644000 -- (-2450.403) (-2432.913) (-2408.051) [-2377.376] * [-2391.571] (-2414.377) (-2393.767) (-2464.708) -- 0:13:39 645000 -- (-2427.846) (-2414.229) (-2419.328) [-2405.129] * [-2394.770] (-2397.074) (-2398.452) (-2466.034) -- 0:13:36 Average standard deviation of split frequencies: 0.016831 646000 -- (-2453.319) [-2403.876] (-2441.066) (-2400.857) * [-2382.076] (-2419.881) (-2396.659) (-2443.530) -- 0:13:34 647000 -- (-2448.375) [-2404.164] (-2418.947) (-2393.323) * (-2391.656) (-2458.461) [-2392.213] (-2466.333) -- 0:13:32 648000 -- (-2430.815) [-2406.553] (-2411.359) (-2387.355) * [-2387.218] (-2436.147) (-2395.373) (-2471.356) -- 0:13:29 649000 -- (-2405.555) (-2391.057) [-2388.056] (-2399.073) * [-2402.502] (-2425.561) (-2398.677) (-2459.596) -- 0:13:28 650000 -- (-2394.322) [-2384.582] (-2398.634) (-2397.621) * [-2389.908] (-2441.125) (-2404.216) (-2420.903) -- 0:13:25 Average standard deviation of split frequencies: 0.016717 651000 -- (-2426.381) (-2409.621) (-2408.732) [-2387.008] * (-2382.918) (-2422.686) [-2400.106] (-2431.666) -- 0:13:23 652000 -- (-2404.265) (-2423.243) (-2419.528) [-2388.457] * [-2384.258] (-2438.028) (-2406.877) (-2424.800) -- 0:13:21 653000 -- [-2401.593] (-2435.778) (-2456.398) (-2406.957) * [-2398.433] (-2415.785) (-2392.062) (-2446.423) -- 0:13:18 654000 -- [-2408.127] (-2411.210) (-2441.860) (-2403.363) * [-2392.131] (-2422.752) (-2412.653) (-2432.565) -- 0:13:16 655000 -- (-2422.961) (-2415.325) (-2439.107) [-2395.354] * (-2414.449) (-2442.738) [-2394.474] (-2420.024) -- 0:13:14 Average standard deviation of split frequencies: 0.016629 656000 -- (-2431.313) (-2430.872) (-2429.882) [-2383.642] * (-2409.179) (-2442.943) [-2391.258] (-2404.772) -- 0:13:11 657000 -- [-2400.732] (-2429.970) (-2455.136) (-2399.705) * (-2410.384) (-2444.683) [-2392.910] (-2416.325) -- 0:13:09 658000 -- (-2418.260) (-2404.162) (-2438.479) [-2391.444] * (-2390.949) (-2435.677) [-2378.752] (-2442.751) -- 0:13:07 659000 -- (-2402.046) (-2428.161) (-2433.925) [-2393.647] * (-2387.747) (-2427.147) [-2382.150] (-2438.358) -- 0:13:04 660000 -- (-2422.435) (-2425.927) (-2424.723) [-2385.837] * (-2421.998) [-2403.674] (-2379.694) (-2436.024) -- 0:13:02 Average standard deviation of split frequencies: 0.016923 661000 -- (-2418.817) (-2430.696) (-2428.798) [-2388.099] * (-2397.976) (-2424.289) [-2381.801] (-2440.863) -- 0:13:00 662000 -- [-2410.808] (-2419.540) (-2417.199) (-2385.157) * (-2398.034) (-2426.257) [-2390.641] (-2442.953) -- 0:12:58 663000 -- (-2415.833) (-2415.915) (-2422.691) [-2382.123] * (-2390.611) (-2425.208) [-2394.151] (-2432.679) -- 0:12:55 664000 -- (-2426.507) (-2438.601) (-2407.011) [-2390.489] * [-2393.707] (-2411.756) (-2387.226) (-2440.207) -- 0:12:53 665000 -- (-2447.973) (-2438.578) (-2400.352) [-2387.277] * (-2387.825) (-2419.426) [-2390.923] (-2436.102) -- 0:12:51 Average standard deviation of split frequencies: 0.016693 666000 -- (-2431.524) (-2411.975) [-2396.700] (-2399.257) * (-2392.342) [-2394.611] (-2392.476) (-2441.977) -- 0:12:48 667000 -- (-2446.941) (-2423.849) (-2397.492) [-2403.037] * (-2390.632) [-2378.118] (-2419.430) (-2461.608) -- 0:12:46 668000 -- (-2435.679) (-2437.966) (-2398.945) [-2393.456] * [-2383.155] (-2390.953) (-2421.647) (-2463.201) -- 0:12:44 669000 -- (-2424.512) (-2444.389) [-2397.445] (-2401.150) * [-2377.963] (-2415.217) (-2423.368) (-2449.404) -- 0:12:41 670000 -- (-2435.144) (-2426.825) [-2398.905] (-2419.920) * [-2383.578] (-2413.004) (-2426.893) (-2448.590) -- 0:12:39 Average standard deviation of split frequencies: 0.016472 671000 -- (-2440.869) [-2414.049] (-2420.161) (-2406.498) * [-2395.095] (-2401.348) (-2437.830) (-2414.935) -- 0:12:37 672000 -- (-2428.037) (-2417.687) (-2449.404) [-2395.196] * [-2390.312] (-2419.252) (-2459.555) (-2404.417) -- 0:12:35 673000 -- (-2409.013) (-2391.372) (-2435.397) [-2391.804] * [-2385.753] (-2414.538) (-2462.651) (-2379.491) -- 0:12:32 674000 -- (-2407.807) (-2418.205) (-2452.053) [-2384.800] * [-2385.817] (-2440.730) (-2427.588) (-2390.915) -- 0:12:30 675000 -- (-2395.725) (-2449.017) (-2440.924) [-2395.946] * [-2388.059] (-2437.860) (-2435.639) (-2391.328) -- 0:12:28 Average standard deviation of split frequencies: 0.016612 676000 -- [-2385.065] (-2417.519) (-2441.170) (-2408.099) * (-2396.735) (-2414.524) (-2440.305) [-2396.052] -- 0:12:25 677000 -- [-2371.525] (-2442.532) (-2444.949) (-2390.793) * (-2400.404) (-2424.579) (-2444.978) [-2401.422] -- 0:12:23 678000 -- [-2380.180] (-2433.011) (-2430.879) (-2384.014) * (-2396.319) (-2418.834) (-2436.322) [-2397.979] -- 0:12:20 679000 -- (-2396.724) (-2446.082) (-2418.982) [-2400.520] * (-2399.900) (-2460.987) (-2410.627) [-2382.049] -- 0:12:18 680000 -- (-2388.533) (-2421.315) (-2475.508) [-2404.391] * (-2400.765) (-2444.512) (-2421.561) [-2375.992] -- 0:12:16 Average standard deviation of split frequencies: 0.016143 681000 -- [-2396.014] (-2415.469) (-2445.174) (-2401.612) * (-2399.461) (-2461.519) (-2420.755) [-2381.788] -- 0:12:14 682000 -- (-2408.457) (-2392.783) (-2433.523) [-2392.919] * (-2412.132) (-2479.868) (-2411.314) [-2371.250] -- 0:12:12 683000 -- (-2412.903) (-2416.425) (-2422.912) [-2386.075] * (-2407.593) (-2487.841) (-2389.332) [-2384.520] -- 0:12:09 684000 -- (-2380.831) (-2428.273) (-2437.714) [-2383.368] * (-2409.983) (-2460.137) (-2399.961) [-2409.687] -- 0:12:07 685000 -- [-2395.193] (-2452.548) (-2447.463) (-2403.159) * (-2404.061) (-2430.663) [-2394.473] (-2392.850) -- 0:12:05 Average standard deviation of split frequencies: 0.015685 686000 -- [-2403.163] (-2427.035) (-2480.239) (-2403.177) * (-2414.564) (-2440.705) [-2405.485] (-2406.523) -- 0:12:02 687000 -- (-2398.057) (-2409.746) (-2473.733) [-2398.299] * [-2407.844] (-2438.469) (-2412.620) (-2411.313) -- 0:12:00 688000 -- (-2421.607) [-2398.938] (-2444.388) (-2405.753) * [-2382.427] (-2453.678) (-2415.290) (-2428.569) -- 0:11:58 689000 -- (-2398.181) [-2383.961] (-2435.031) (-2397.863) * [-2385.176] (-2426.022) (-2397.550) (-2416.361) -- 0:11:55 690000 -- (-2428.606) (-2398.608) (-2420.422) [-2390.227] * (-2396.929) (-2448.235) (-2420.930) [-2399.994] -- 0:11:53 Average standard deviation of split frequencies: 0.015464 691000 -- (-2464.923) [-2395.610] (-2401.304) (-2414.290) * (-2404.267) (-2483.344) (-2422.535) [-2396.809] -- 0:11:51 692000 -- (-2433.150) [-2386.840] (-2392.165) (-2419.621) * (-2409.568) (-2449.664) (-2413.379) [-2402.699] -- 0:11:49 693000 -- (-2434.991) (-2401.600) [-2393.745] (-2441.930) * (-2426.285) (-2454.385) [-2402.335] (-2398.645) -- 0:11:46 694000 -- (-2414.337) (-2406.787) [-2407.960] (-2429.333) * (-2454.828) (-2415.193) [-2385.707] (-2412.067) -- 0:11:44 695000 -- (-2409.648) (-2434.366) [-2398.990] (-2430.827) * (-2450.880) (-2421.849) (-2390.096) [-2384.635] -- 0:11:42 Average standard deviation of split frequencies: 0.015252 696000 -- (-2405.124) (-2411.319) (-2413.488) [-2415.802] * (-2455.651) (-2442.539) [-2401.397] (-2406.106) -- 0:11:39 697000 -- [-2389.319] (-2429.748) (-2412.727) (-2414.609) * (-2430.961) (-2451.127) (-2412.371) [-2400.938] -- 0:11:37 698000 -- [-2392.157] (-2428.954) (-2422.294) (-2432.972) * (-2433.887) [-2428.151] (-2419.861) (-2402.800) -- 0:11:35 699000 -- [-2393.281] (-2427.542) (-2427.579) (-2409.167) * (-2466.227) (-2412.995) (-2429.603) [-2391.640] -- 0:11:32 700000 -- (-2409.851) [-2411.555] (-2434.207) (-2412.997) * (-2438.442) (-2421.024) (-2419.924) [-2388.460] -- 0:11:30 Average standard deviation of split frequencies: 0.015406 701000 -- [-2397.791] (-2432.067) (-2458.409) (-2415.971) * (-2435.451) (-2413.665) [-2413.802] (-2389.580) -- 0:11:28 702000 -- [-2386.188] (-2423.105) (-2447.478) (-2392.163) * (-2423.263) (-2456.960) [-2400.941] (-2390.980) -- 0:11:25 703000 -- [-2385.474] (-2442.166) (-2439.056) (-2403.483) * (-2412.814) (-2427.295) (-2410.663) [-2373.061] -- 0:11:23 704000 -- [-2389.052] (-2429.780) (-2429.730) (-2395.508) * (-2427.531) (-2436.830) (-2401.100) [-2376.271] -- 0:11:21 705000 -- [-2381.299] (-2449.617) (-2431.721) (-2398.756) * (-2409.246) (-2434.420) (-2413.393) [-2378.989] -- 0:11:19 Average standard deviation of split frequencies: 0.015320 706000 -- [-2377.593] (-2427.146) (-2396.858) (-2403.681) * (-2435.078) (-2435.160) (-2406.168) [-2379.865] -- 0:11:17 707000 -- [-2386.510] (-2452.739) (-2398.424) (-2408.334) * (-2438.841) (-2416.464) [-2389.760] (-2372.687) -- 0:11:14 708000 -- [-2388.749] (-2420.203) (-2409.542) (-2403.124) * (-2431.335) (-2413.340) (-2412.325) [-2373.599] -- 0:11:12 709000 -- (-2392.728) (-2411.140) [-2393.550] (-2432.781) * (-2402.815) (-2436.318) (-2399.568) [-2381.541] -- 0:11:10 710000 -- [-2383.247] (-2415.783) (-2400.209) (-2441.282) * (-2406.285) (-2433.048) (-2401.299) [-2385.238] -- 0:11:07 Average standard deviation of split frequencies: 0.014968 711000 -- [-2393.088] (-2414.325) (-2438.834) (-2432.422) * [-2389.419] (-2411.019) (-2447.246) (-2398.508) -- 0:11:05 712000 -- [-2418.704] (-2398.377) (-2416.032) (-2443.687) * (-2399.749) (-2406.958) (-2420.811) [-2401.044] -- 0:11:02 713000 -- [-2409.395] (-2416.146) (-2419.146) (-2439.740) * (-2408.751) (-2439.718) [-2397.737] (-2411.441) -- 0:11:00 714000 -- (-2398.010) (-2423.284) (-2442.554) [-2423.456] * (-2379.969) [-2378.987] (-2373.864) (-2415.567) -- 0:10:58 715000 -- [-2404.706] (-2401.976) (-2437.856) (-2428.464) * [-2381.780] (-2374.177) (-2403.633) (-2420.895) -- 0:10:56 Average standard deviation of split frequencies: 0.014564 716000 -- (-2419.508) (-2419.771) (-2426.734) [-2405.365] * (-2396.220) [-2384.267] (-2398.618) (-2428.634) -- 0:10:53 717000 -- (-2452.925) [-2393.257] (-2416.639) (-2394.539) * [-2397.282] (-2415.934) (-2423.276) (-2417.069) -- 0:10:51 718000 -- (-2465.655) (-2407.244) [-2405.087] (-2408.150) * [-2390.596] (-2410.393) (-2404.196) (-2401.394) -- 0:10:49 719000 -- (-2430.873) (-2420.334) (-2393.738) [-2382.372] * [-2383.858] (-2415.128) (-2430.040) (-2411.839) -- 0:10:46 720000 -- (-2456.771) (-2403.856) (-2412.206) [-2382.941] * [-2395.079] (-2431.671) (-2456.001) (-2407.082) -- 0:10:44 Average standard deviation of split frequencies: 0.014076 721000 -- (-2461.632) (-2417.803) (-2396.369) [-2380.694] * (-2404.713) (-2441.442) (-2433.176) [-2398.928] -- 0:10:42 722000 -- (-2452.435) (-2418.421) (-2407.360) [-2379.023] * [-2399.514] (-2403.233) (-2435.157) (-2421.055) -- 0:10:39 723000 -- (-2446.232) (-2419.543) (-2396.698) [-2387.008] * [-2393.279] (-2418.511) (-2449.753) (-2412.795) -- 0:10:37 724000 -- (-2422.799) (-2405.655) [-2394.999] (-2387.967) * (-2388.602) (-2422.438) (-2452.011) [-2399.152] -- 0:10:35 725000 -- (-2428.939) (-2422.533) (-2407.098) [-2382.714] * (-2394.836) (-2420.802) (-2432.699) [-2396.095] -- 0:10:33 Average standard deviation of split frequencies: 0.013721 726000 -- (-2420.765) (-2454.749) [-2389.829] (-2381.536) * [-2386.605] (-2460.885) (-2425.781) (-2405.809) -- 0:10:30 727000 -- (-2438.217) (-2428.570) (-2403.314) [-2373.779] * [-2388.846] (-2408.643) (-2424.109) (-2437.220) -- 0:10:28 728000 -- (-2412.994) (-2428.401) (-2395.694) [-2384.564] * (-2394.280) [-2398.443] (-2458.717) (-2413.322) -- 0:10:26 729000 -- (-2422.270) (-2420.483) (-2403.186) [-2381.941] * (-2425.230) [-2393.539] (-2470.198) (-2404.055) -- 0:10:23 730000 -- (-2398.872) (-2422.468) (-2401.606) [-2375.180] * (-2452.666) (-2402.817) (-2437.662) [-2399.346] -- 0:10:21 Average standard deviation of split frequencies: 0.013542 731000 -- (-2403.257) (-2434.769) (-2380.952) [-2378.220] * (-2452.055) (-2413.315) (-2417.646) [-2388.892] -- 0:10:19 732000 -- (-2409.065) (-2425.710) [-2404.186] (-2400.093) * (-2435.228) (-2414.467) (-2436.982) [-2377.225] -- 0:10:17 733000 -- (-2421.560) (-2412.004) [-2406.971] (-2393.471) * (-2428.789) (-2405.350) (-2448.804) [-2390.376] -- 0:10:14 734000 -- (-2405.992) (-2425.893) [-2424.201] (-2404.523) * (-2435.939) (-2400.527) (-2437.874) [-2408.606] -- 0:10:12 735000 -- [-2391.128] (-2405.874) (-2413.632) (-2426.165) * (-2440.556) (-2414.623) (-2420.377) [-2410.263] -- 0:10:10 Average standard deviation of split frequencies: 0.013813 736000 -- [-2389.676] (-2396.950) (-2414.699) (-2431.009) * (-2449.571) [-2395.807] (-2432.268) (-2400.871) -- 0:10:07 737000 -- (-2388.910) [-2393.045] (-2423.717) (-2424.438) * (-2426.424) (-2426.093) (-2476.753) [-2405.978] -- 0:10:05 738000 -- (-2383.875) [-2389.037] (-2424.379) (-2429.772) * (-2416.568) (-2429.311) (-2420.950) [-2399.359] -- 0:10:03 739000 -- [-2373.559] (-2404.303) (-2414.747) (-2422.159) * (-2424.369) (-2434.255) (-2415.652) [-2402.416] -- 0:10:01 740000 -- (-2390.502) [-2397.075] (-2416.482) (-2416.654) * (-2405.839) (-2444.537) (-2409.042) [-2408.195] -- 0:09:58 Average standard deviation of split frequencies: 0.013880 741000 -- (-2428.213) [-2396.959] (-2411.294) (-2414.668) * (-2423.712) (-2432.825) (-2427.565) [-2383.234] -- 0:09:56 742000 -- [-2408.804] (-2400.776) (-2413.875) (-2425.483) * (-2427.721) (-2431.826) (-2428.995) [-2398.046] -- 0:09:54 743000 -- (-2408.774) [-2385.197] (-2429.950) (-2422.029) * (-2396.089) (-2398.251) (-2425.192) [-2392.954] -- 0:09:51 744000 -- [-2392.460] (-2397.145) (-2425.538) (-2405.276) * (-2393.314) (-2386.330) (-2449.650) [-2384.337] -- 0:09:49 745000 -- [-2383.503] (-2391.622) (-2439.527) (-2434.643) * (-2417.501) (-2388.916) (-2458.469) [-2382.370] -- 0:09:47 Average standard deviation of split frequencies: 0.013818 746000 -- [-2388.263] (-2405.507) (-2424.583) (-2420.921) * (-2415.655) (-2399.898) (-2452.848) [-2378.594] -- 0:09:44 747000 -- [-2390.645] (-2399.660) (-2406.017) (-2464.498) * (-2401.496) (-2438.219) (-2440.134) [-2373.897] -- 0:09:42 748000 -- (-2386.282) [-2393.126] (-2412.964) (-2478.597) * (-2424.793) (-2404.242) (-2429.482) [-2383.760] -- 0:09:40 749000 -- (-2397.912) [-2385.976] (-2404.811) (-2462.396) * (-2407.940) (-2389.133) (-2422.230) [-2384.637] -- 0:09:38 750000 -- (-2417.104) [-2378.931] (-2392.975) (-2449.705) * (-2398.734) (-2391.048) (-2427.593) [-2384.451] -- 0:09:36 Average standard deviation of split frequencies: 0.013731 751000 -- (-2442.022) (-2387.547) [-2395.476] (-2431.330) * (-2406.651) (-2402.122) (-2442.496) [-2387.021] -- 0:09:33 752000 -- (-2418.293) [-2396.643] (-2400.181) (-2436.757) * (-2421.083) (-2393.692) (-2426.919) [-2395.883] -- 0:09:31 753000 -- [-2389.216] (-2401.995) (-2400.333) (-2456.689) * (-2417.988) [-2393.592] (-2430.175) (-2400.575) -- 0:09:29 754000 -- (-2397.392) [-2402.221] (-2404.824) (-2478.010) * (-2406.613) [-2398.076] (-2435.724) (-2410.505) -- 0:09:26 755000 -- (-2420.199) [-2387.999] (-2398.160) (-2461.957) * (-2431.293) [-2391.664] (-2413.031) (-2407.680) -- 0:09:24 Average standard deviation of split frequencies: 0.013623 756000 -- (-2396.343) [-2396.361] (-2411.107) (-2437.632) * (-2418.750) (-2403.684) [-2377.652] (-2408.675) -- 0:09:21 757000 -- [-2383.624] (-2405.198) (-2427.268) (-2431.558) * (-2444.050) (-2412.121) (-2392.634) [-2400.260] -- 0:09:19 758000 -- (-2418.307) (-2413.848) [-2402.957] (-2401.803) * (-2466.922) (-2391.640) (-2401.510) [-2388.975] -- 0:09:17 759000 -- (-2394.245) (-2429.326) [-2387.507] (-2413.653) * (-2445.126) (-2395.285) [-2388.702] (-2396.752) -- 0:09:15 760000 -- (-2393.859) (-2424.130) [-2385.714] (-2420.506) * (-2414.422) [-2376.865] (-2389.020) (-2403.599) -- 0:09:12 Average standard deviation of split frequencies: 0.013399 761000 -- (-2406.476) (-2456.769) (-2381.220) [-2398.279] * (-2445.428) (-2388.613) [-2375.185] (-2425.941) -- 0:09:10 762000 -- (-2397.853) (-2448.480) [-2393.063] (-2411.669) * (-2420.941) [-2402.036] (-2367.844) (-2420.265) -- 0:09:08 763000 -- [-2399.909] (-2439.300) (-2425.176) (-2439.521) * (-2437.165) (-2387.848) [-2376.705] (-2410.955) -- 0:09:06 764000 -- [-2396.095] (-2438.299) (-2424.126) (-2438.880) * (-2435.524) (-2413.602) [-2394.082] (-2388.522) -- 0:09:03 765000 -- [-2399.354] (-2434.498) (-2431.217) (-2446.539) * (-2441.568) [-2400.156] (-2402.405) (-2397.434) -- 0:09:01 Average standard deviation of split frequencies: 0.013557 766000 -- [-2408.261] (-2446.470) (-2409.995) (-2414.916) * (-2444.388) (-2410.442) [-2411.331] (-2408.106) -- 0:08:59 767000 -- [-2394.582] (-2484.396) (-2401.829) (-2424.434) * (-2426.246) (-2408.554) [-2387.570] (-2407.036) -- 0:08:57 768000 -- [-2398.076] (-2453.969) (-2413.685) (-2411.103) * (-2428.825) (-2407.944) [-2392.129] (-2407.728) -- 0:08:54 769000 -- [-2374.749] (-2431.717) (-2436.125) (-2434.952) * (-2415.993) (-2435.272) (-2393.097) [-2399.043] -- 0:08:52 770000 -- [-2370.261] (-2424.609) (-2401.951) (-2434.426) * (-2402.210) (-2432.156) [-2392.407] (-2394.663) -- 0:08:50 Average standard deviation of split frequencies: 0.013434 771000 -- [-2380.910] (-2462.492) (-2402.333) (-2420.510) * (-2410.136) (-2415.651) [-2400.908] (-2436.248) -- 0:08:47 772000 -- [-2371.567] (-2445.060) (-2396.525) (-2413.790) * (-2420.636) (-2434.024) [-2404.837] (-2415.961) -- 0:08:45 773000 -- (-2384.658) (-2453.225) [-2414.125] (-2403.878) * (-2408.940) (-2437.796) [-2403.942] (-2421.045) -- 0:08:43 774000 -- [-2392.579] (-2454.150) (-2430.329) (-2416.275) * (-2404.538) (-2431.817) [-2393.329] (-2416.926) -- 0:08:40 775000 -- (-2402.402) (-2439.204) (-2394.075) [-2393.065] * (-2388.603) (-2454.572) [-2394.037] (-2413.809) -- 0:08:38 Average standard deviation of split frequencies: 0.013627 776000 -- [-2397.463] (-2452.911) (-2402.137) (-2402.098) * (-2424.815) [-2402.360] (-2406.800) (-2411.509) -- 0:08:36 777000 -- (-2388.920) (-2430.892) (-2417.350) [-2400.488] * (-2440.051) (-2400.899) [-2412.123] (-2401.918) -- 0:08:34 778000 -- (-2393.442) (-2435.789) (-2436.017) [-2396.945] * (-2428.398) (-2406.361) (-2411.402) [-2385.313] -- 0:08:31 779000 -- [-2404.801] (-2445.439) (-2409.624) (-2405.391) * (-2417.459) (-2426.097) (-2415.915) [-2391.376] -- 0:08:29 780000 -- [-2400.818] (-2428.290) (-2408.153) (-2413.452) * (-2435.789) (-2439.022) [-2403.217] (-2400.159) -- 0:08:27 Average standard deviation of split frequencies: 0.013801 781000 -- (-2395.454) (-2446.235) (-2398.910) [-2408.035] * (-2418.616) (-2456.857) [-2389.746] (-2397.608) -- 0:08:24 782000 -- (-2406.365) (-2437.989) (-2409.608) [-2383.415] * (-2407.188) (-2450.520) [-2383.328] (-2404.390) -- 0:08:22 783000 -- (-2413.807) (-2430.872) [-2398.224] (-2391.161) * (-2413.547) (-2451.134) (-2401.520) [-2383.686] -- 0:08:19 784000 -- (-2439.962) (-2425.315) [-2390.976] (-2395.617) * [-2403.043] (-2461.050) (-2422.133) (-2393.170) -- 0:08:17 785000 -- (-2407.826) (-2422.887) [-2391.224] (-2401.459) * (-2400.797) (-2450.136) (-2438.508) [-2396.608] -- 0:08:15 Average standard deviation of split frequencies: 0.013343 786000 -- (-2405.379) (-2445.970) (-2415.870) [-2407.917] * [-2413.875] (-2455.058) (-2458.426) (-2400.065) -- 0:08:13 787000 -- [-2397.057] (-2441.591) (-2407.623) (-2394.824) * [-2411.779] (-2437.399) (-2473.832) (-2408.949) -- 0:08:10 788000 -- (-2396.499) (-2443.966) [-2393.431] (-2378.375) * [-2389.763] (-2422.707) (-2465.739) (-2416.095) -- 0:08:08 789000 -- (-2396.154) (-2442.253) [-2401.425] (-2394.605) * [-2397.889] (-2443.969) (-2436.136) (-2423.889) -- 0:08:06 790000 -- (-2403.736) (-2447.799) (-2386.846) [-2383.613] * [-2388.329] (-2427.611) (-2422.019) (-2419.303) -- 0:08:03 Average standard deviation of split frequencies: 0.013156 791000 -- (-2427.021) (-2417.288) [-2382.066] (-2403.646) * [-2391.037] (-2435.385) (-2423.165) (-2412.471) -- 0:08:01 792000 -- (-2428.364) (-2440.860) [-2378.321] (-2409.214) * [-2396.116] (-2395.436) (-2419.079) (-2412.458) -- 0:07:59 793000 -- (-2398.931) (-2422.031) (-2386.064) [-2411.398] * (-2391.581) (-2411.543) (-2425.639) [-2383.229] -- 0:07:56 794000 -- [-2385.190] (-2431.931) (-2402.222) (-2422.838) * (-2404.515) (-2402.528) (-2490.691) [-2397.574] -- 0:07:54 795000 -- [-2383.589] (-2405.360) (-2424.828) (-2409.983) * (-2382.839) (-2405.703) (-2469.824) [-2381.630] -- 0:07:52 Average standard deviation of split frequencies: 0.012716 796000 -- (-2398.641) [-2382.300] (-2420.040) (-2450.348) * [-2388.741] (-2405.135) (-2444.812) (-2387.786) -- 0:07:50 797000 -- (-2403.332) [-2382.400] (-2420.057) (-2435.743) * (-2403.311) (-2421.839) (-2465.437) [-2380.164] -- 0:07:47 798000 -- (-2391.335) [-2396.288] (-2421.216) (-2442.310) * (-2414.740) (-2414.986) (-2458.510) [-2386.224] -- 0:07:45 799000 -- (-2393.207) [-2377.663] (-2423.866) (-2436.458) * (-2417.808) (-2409.949) (-2446.535) [-2380.713] -- 0:07:43 800000 -- [-2384.043] (-2388.858) (-2420.390) (-2422.914) * [-2387.969] (-2409.521) (-2432.595) (-2394.927) -- 0:07:40 Average standard deviation of split frequencies: 0.012762 801000 -- (-2437.159) [-2399.940] (-2407.452) (-2397.994) * (-2390.799) (-2427.394) [-2417.639] (-2400.715) -- 0:07:38 802000 -- (-2411.369) (-2417.200) (-2427.775) [-2388.052] * [-2386.087] (-2444.974) (-2402.776) (-2400.772) -- 0:07:36 803000 -- (-2403.828) [-2388.081] (-2442.497) (-2383.936) * [-2383.896] (-2444.345) (-2416.981) (-2402.652) -- 0:07:33 804000 -- (-2386.072) [-2394.776] (-2424.022) (-2398.866) * (-2391.343) (-2461.039) (-2408.571) [-2381.935] -- 0:07:31 805000 -- (-2387.478) (-2386.067) (-2419.622) [-2389.657] * [-2397.624] (-2428.129) (-2420.860) (-2392.294) -- 0:07:29 Average standard deviation of split frequencies: 0.013137 806000 -- (-2413.590) (-2423.152) (-2392.527) [-2376.243] * (-2418.520) (-2449.824) [-2407.145] (-2391.896) -- 0:07:26 807000 -- (-2424.694) (-2413.563) [-2382.537] (-2392.203) * (-2409.168) (-2438.438) (-2414.725) [-2391.235] -- 0:07:24 808000 -- (-2397.722) (-2439.004) (-2401.430) [-2390.943] * (-2434.874) (-2442.730) (-2422.029) [-2389.209] -- 0:07:22 809000 -- (-2396.577) (-2448.327) (-2398.438) [-2387.120] * (-2401.702) (-2434.900) (-2418.933) [-2387.584] -- 0:07:20 810000 -- [-2386.954] (-2451.593) (-2394.732) (-2397.252) * [-2385.017] (-2429.007) (-2465.680) (-2392.227) -- 0:07:17 Average standard deviation of split frequencies: 0.013117 811000 -- (-2393.277) (-2426.657) [-2389.091] (-2432.933) * (-2397.789) (-2419.474) (-2460.324) [-2388.653] -- 0:07:15 812000 -- [-2381.721] (-2390.924) (-2430.745) (-2414.517) * [-2399.630] (-2448.326) (-2472.912) (-2402.776) -- 0:07:13 813000 -- [-2401.830] (-2411.003) (-2435.768) (-2421.515) * (-2383.629) (-2446.677) (-2463.915) [-2398.711] -- 0:07:11 814000 -- [-2398.009] (-2411.445) (-2408.410) (-2424.477) * [-2387.815] (-2453.380) (-2429.151) (-2413.068) -- 0:07:08 815000 -- [-2395.747] (-2414.238) (-2401.204) (-2423.651) * [-2390.213] (-2452.226) (-2415.327) (-2437.080) -- 0:07:06 Average standard deviation of split frequencies: 0.012819 816000 -- (-2408.104) [-2406.378] (-2393.473) (-2448.452) * (-2389.704) (-2433.348) (-2430.887) [-2404.674] -- 0:07:03 817000 -- [-2389.962] (-2398.273) (-2406.960) (-2450.647) * [-2390.568] (-2416.150) (-2421.649) (-2395.673) -- 0:07:01 818000 -- (-2390.045) [-2410.731] (-2424.693) (-2419.104) * [-2391.266] (-2415.154) (-2433.749) (-2408.284) -- 0:06:59 819000 -- [-2391.818] (-2402.497) (-2449.130) (-2437.165) * [-2394.959] (-2421.268) (-2418.383) (-2395.490) -- 0:06:57 820000 -- [-2375.539] (-2435.769) (-2422.082) (-2404.716) * (-2392.405) (-2417.316) (-2418.061) [-2393.073] -- 0:06:54 Average standard deviation of split frequencies: 0.012859 821000 -- (-2389.129) (-2416.632) (-2418.403) [-2401.012] * (-2403.002) (-2416.973) (-2426.437) [-2389.063] -- 0:06:52 822000 -- [-2387.893] (-2443.033) (-2405.442) (-2410.442) * [-2384.960] (-2424.834) (-2422.255) (-2424.391) -- 0:06:50 823000 -- [-2381.572] (-2434.573) (-2432.484) (-2412.744) * [-2391.893] (-2430.373) (-2404.475) (-2413.476) -- 0:06:47 824000 -- [-2369.001] (-2422.216) (-2413.909) (-2395.260) * [-2394.006] (-2432.968) (-2408.954) (-2416.831) -- 0:06:45 825000 -- [-2392.700] (-2413.744) (-2409.070) (-2414.078) * [-2394.366] (-2430.342) (-2404.346) (-2420.243) -- 0:06:43 Average standard deviation of split frequencies: 0.012709 826000 -- (-2376.791) (-2408.831) (-2396.396) [-2397.458] * (-2391.738) (-2407.068) [-2394.601] (-2416.443) -- 0:06:40 827000 -- (-2375.789) (-2422.513) [-2388.653] (-2393.294) * [-2387.596] (-2421.752) (-2401.020) (-2430.502) -- 0:06:38 828000 -- (-2389.465) (-2418.023) [-2389.493] (-2403.112) * [-2393.899] (-2429.017) (-2424.632) (-2391.134) -- 0:06:36 829000 -- (-2390.657) (-2398.635) [-2395.000] (-2406.812) * (-2406.215) (-2439.257) [-2399.775] (-2389.902) -- 0:06:33 830000 -- [-2376.372] (-2432.628) (-2388.356) (-2406.039) * (-2397.880) (-2430.480) (-2421.099) [-2373.397] -- 0:06:31 Average standard deviation of split frequencies: 0.012533 831000 -- (-2390.165) (-2412.370) [-2391.063] (-2424.396) * (-2408.666) (-2421.734) (-2413.802) [-2370.340] -- 0:06:29 832000 -- (-2396.185) (-2404.599) [-2396.558] (-2405.039) * (-2399.252) (-2411.303) (-2435.920) [-2365.698] -- 0:06:26 833000 -- [-2380.348] (-2457.467) (-2396.930) (-2399.404) * [-2386.212] (-2434.559) (-2431.935) (-2380.091) -- 0:06:24 834000 -- (-2401.642) (-2464.460) [-2402.708] (-2386.188) * [-2376.449] (-2421.859) (-2451.893) (-2387.830) -- 0:06:22 835000 -- [-2373.984] (-2460.432) (-2390.914) (-2396.143) * (-2370.433) (-2445.912) (-2452.019) [-2380.560] -- 0:06:19 Average standard deviation of split frequencies: 0.012527 836000 -- (-2381.953) (-2450.586) (-2392.513) [-2382.086] * [-2372.033] (-2445.914) (-2448.185) (-2387.033) -- 0:06:17 837000 -- [-2383.996] (-2442.719) (-2397.999) (-2392.227) * [-2393.064] (-2450.531) (-2423.458) (-2400.319) -- 0:06:15 838000 -- (-2395.166) (-2441.709) [-2402.670] (-2404.723) * [-2389.488] (-2429.553) (-2413.699) (-2416.698) -- 0:06:13 839000 -- (-2393.879) (-2464.812) (-2414.320) [-2391.948] * [-2393.079] (-2411.725) (-2412.674) (-2404.188) -- 0:06:10 840000 -- [-2386.496] (-2442.025) (-2405.057) (-2402.458) * (-2417.190) (-2444.103) (-2396.860) [-2412.142] -- 0:06:08 Average standard deviation of split frequencies: 0.012448 841000 -- (-2389.626) (-2422.352) [-2386.628] (-2418.447) * [-2406.513] (-2448.724) (-2409.225) (-2395.065) -- 0:06:06 842000 -- [-2382.106] (-2420.945) (-2407.318) (-2446.382) * (-2400.658) (-2452.551) (-2424.192) [-2397.479] -- 0:06:04 843000 -- (-2398.548) [-2411.343] (-2426.887) (-2439.858) * [-2401.219] (-2442.533) (-2449.784) (-2400.937) -- 0:06:01 844000 -- [-2397.361] (-2413.190) (-2439.823) (-2426.534) * (-2388.639) (-2414.274) (-2430.002) [-2395.384] -- 0:05:59 845000 -- [-2407.354] (-2459.772) (-2420.681) (-2430.163) * (-2412.410) (-2434.814) (-2440.894) [-2394.940] -- 0:05:57 Average standard deviation of split frequencies: 0.012369 846000 -- [-2395.480] (-2426.300) (-2402.052) (-2422.196) * [-2407.895] (-2438.676) (-2449.054) (-2403.201) -- 0:05:54 847000 -- [-2405.470] (-2419.662) (-2442.008) (-2434.104) * (-2399.332) (-2426.128) (-2444.505) [-2390.848] -- 0:05:52 848000 -- [-2392.195] (-2424.008) (-2439.758) (-2427.007) * (-2400.854) (-2413.648) (-2450.384) [-2394.073] -- 0:05:50 849000 -- [-2370.319] (-2418.618) (-2418.109) (-2456.813) * (-2401.882) (-2464.535) (-2441.143) [-2395.047] -- 0:05:47 850000 -- [-2374.774] (-2415.964) (-2418.803) (-2418.915) * [-2406.557] (-2423.867) (-2469.385) (-2394.864) -- 0:05:45 Average standard deviation of split frequencies: 0.012150 851000 -- [-2393.900] (-2400.527) (-2408.628) (-2439.074) * (-2395.834) (-2419.948) (-2458.232) [-2398.369] -- 0:05:43 852000 -- (-2394.927) [-2392.940] (-2439.042) (-2448.668) * (-2431.682) [-2384.848] (-2435.630) (-2394.965) -- 0:05:40 853000 -- (-2396.835) [-2387.962] (-2443.917) (-2443.740) * (-2408.107) [-2381.733] (-2455.216) (-2414.629) -- 0:05:38 854000 -- (-2383.257) [-2391.235] (-2441.672) (-2410.165) * (-2418.039) [-2376.716] (-2449.304) (-2416.107) -- 0:05:36 855000 -- [-2402.401] (-2379.813) (-2432.552) (-2416.167) * (-2424.133) [-2368.224] (-2440.105) (-2392.279) -- 0:05:34 Average standard deviation of split frequencies: 0.011851 856000 -- (-2399.965) [-2388.752] (-2437.115) (-2412.103) * (-2418.709) [-2381.725] (-2441.943) (-2399.677) -- 0:05:31 857000 -- (-2413.688) [-2391.650] (-2449.456) (-2425.164) * (-2402.553) [-2378.060] (-2446.088) (-2413.026) -- 0:05:29 858000 -- (-2392.920) [-2388.578] (-2420.584) (-2442.022) * (-2391.768) [-2377.683] (-2427.741) (-2434.424) -- 0:05:27 859000 -- (-2394.978) [-2397.920] (-2442.512) (-2447.998) * (-2403.777) [-2384.438] (-2450.513) (-2429.132) -- 0:05:24 860000 -- [-2376.332] (-2375.817) (-2432.876) (-2444.495) * (-2419.543) [-2387.667] (-2437.507) (-2424.106) -- 0:05:22 Average standard deviation of split frequencies: 0.011881 861000 -- (-2384.297) [-2389.675] (-2430.313) (-2439.474) * (-2419.943) [-2392.207] (-2435.987) (-2416.661) -- 0:05:20 862000 -- [-2383.164] (-2390.623) (-2455.351) (-2428.957) * (-2424.575) [-2383.606] (-2440.264) (-2419.672) -- 0:05:17 863000 -- [-2367.869] (-2388.683) (-2465.051) (-2432.060) * (-2403.679) [-2381.645] (-2445.012) (-2450.856) -- 0:05:15 864000 -- [-2374.713] (-2386.538) (-2442.938) (-2439.049) * [-2393.559] (-2391.479) (-2432.160) (-2426.889) -- 0:05:13 865000 -- (-2397.608) [-2397.334] (-2424.182) (-2419.997) * (-2396.732) (-2391.002) [-2413.869] (-2433.330) -- 0:05:11 Average standard deviation of split frequencies: 0.011899 866000 -- [-2379.426] (-2437.956) (-2408.779) (-2409.599) * (-2414.322) [-2397.345] (-2420.606) (-2407.879) -- 0:05:08 867000 -- [-2375.371] (-2414.705) (-2444.222) (-2416.777) * (-2419.283) [-2392.933] (-2406.364) (-2428.198) -- 0:05:06 868000 -- [-2380.002] (-2414.727) (-2452.968) (-2397.595) * (-2414.254) [-2400.426] (-2418.453) (-2431.905) -- 0:05:04 869000 -- [-2383.641] (-2397.634) (-2442.700) (-2418.465) * [-2398.976] (-2419.451) (-2415.142) (-2433.862) -- 0:05:01 870000 -- [-2383.356] (-2415.036) (-2429.543) (-2400.590) * (-2405.649) (-2430.156) (-2409.325) [-2392.522] -- 0:04:59 Average standard deviation of split frequencies: 0.011750 871000 -- (-2386.350) (-2404.434) (-2437.853) [-2380.875] * (-2402.702) (-2443.425) (-2416.487) [-2382.195] -- 0:04:57 872000 -- (-2416.425) [-2387.271] (-2419.847) (-2400.238) * [-2414.120] (-2456.201) (-2415.493) (-2375.292) -- 0:04:54 873000 -- (-2426.170) [-2392.684] (-2419.004) (-2416.492) * (-2414.209) (-2471.950) (-2409.063) [-2376.189] -- 0:04:52 874000 -- (-2432.142) [-2399.699] (-2408.519) (-2409.844) * (-2417.337) (-2440.924) (-2424.773) [-2382.234] -- 0:04:50 875000 -- (-2417.239) [-2397.419] (-2423.422) (-2414.771) * (-2416.075) (-2416.604) (-2392.751) [-2385.766] -- 0:04:48 Average standard deviation of split frequencies: 0.011723 876000 -- (-2425.060) [-2397.426] (-2426.083) (-2397.758) * (-2450.349) (-2409.459) [-2382.183] (-2392.115) -- 0:04:45 877000 -- (-2421.031) [-2383.867] (-2432.773) (-2413.190) * (-2456.986) (-2408.218) (-2379.956) [-2388.379] -- 0:04:43 878000 -- (-2412.691) [-2403.753] (-2439.025) (-2392.702) * (-2446.415) [-2400.533] (-2393.342) (-2395.974) -- 0:04:41 879000 -- (-2430.338) (-2435.610) [-2385.056] (-2397.288) * (-2419.172) (-2431.222) (-2413.076) [-2388.132] -- 0:04:38 880000 -- (-2456.430) (-2431.202) (-2395.689) [-2391.686] * (-2433.341) (-2446.376) (-2418.084) [-2391.760] -- 0:04:36 Average standard deviation of split frequencies: 0.011440 881000 -- (-2427.915) (-2417.041) (-2431.241) [-2392.782] * (-2437.342) [-2404.380] (-2406.645) (-2400.917) -- 0:04:34 882000 -- (-2447.825) [-2395.758] (-2438.942) (-2396.729) * (-2417.088) (-2395.703) (-2427.038) [-2387.426] -- 0:04:31 883000 -- (-2448.072) [-2381.127] (-2416.151) (-2389.233) * (-2427.944) (-2393.354) (-2410.353) [-2395.108] -- 0:04:29 884000 -- (-2438.215) [-2384.499] (-2431.555) (-2379.031) * (-2432.265) (-2392.525) (-2422.976) [-2396.146] -- 0:04:27 885000 -- (-2455.569) [-2371.627] (-2411.020) (-2384.689) * [-2416.638] (-2412.633) (-2418.670) (-2418.970) -- 0:04:25 Average standard deviation of split frequencies: 0.011786 886000 -- (-2461.177) [-2384.907] (-2413.852) (-2392.790) * [-2401.389] (-2402.124) (-2411.661) (-2426.402) -- 0:04:22 887000 -- (-2448.334) (-2385.044) (-2436.532) [-2379.170] * [-2394.753] (-2380.722) (-2407.804) (-2443.331) -- 0:04:20 888000 -- (-2452.180) (-2393.234) [-2393.179] (-2390.086) * [-2387.857] (-2387.510) (-2389.545) (-2455.067) -- 0:04:18 889000 -- (-2454.631) (-2405.062) [-2392.022] (-2399.090) * (-2406.714) [-2377.511] (-2401.204) (-2459.958) -- 0:04:15 890000 -- (-2469.548) (-2384.742) [-2380.631] (-2402.258) * (-2403.394) [-2371.118] (-2405.793) (-2441.011) -- 0:04:13 Average standard deviation of split frequencies: 0.011750 891000 -- (-2448.193) (-2411.269) [-2382.363] (-2399.827) * (-2484.337) [-2389.184] (-2415.820) (-2448.114) -- 0:04:11 892000 -- (-2429.895) (-2418.037) [-2380.098] (-2389.280) * (-2415.942) [-2385.588] (-2404.808) (-2458.717) -- 0:04:08 893000 -- (-2415.190) (-2439.554) [-2384.706] (-2407.671) * (-2413.185) [-2380.526] (-2411.111) (-2422.128) -- 0:04:06 894000 -- (-2437.842) (-2431.015) [-2375.011] (-2389.277) * (-2426.717) [-2390.902] (-2406.379) (-2445.519) -- 0:04:04 895000 -- (-2409.135) (-2426.691) [-2380.795] (-2397.831) * (-2429.351) (-2420.680) [-2398.164] (-2428.024) -- 0:04:02 Average standard deviation of split frequencies: 0.011484 896000 -- (-2400.985) (-2424.370) [-2388.629] (-2404.670) * (-2434.611) (-2397.879) [-2402.378] (-2427.664) -- 0:03:59 897000 -- (-2424.940) (-2399.257) [-2388.633] (-2395.290) * (-2395.014) [-2393.755] (-2414.164) (-2424.919) -- 0:03:57 898000 -- (-2424.371) (-2423.096) (-2388.655) [-2390.483] * [-2385.040] (-2405.537) (-2396.361) (-2425.119) -- 0:03:55 899000 -- (-2409.944) (-2429.668) (-2405.516) [-2404.201] * (-2399.730) (-2391.211) [-2394.425] (-2445.403) -- 0:03:52 900000 -- (-2416.386) (-2412.580) [-2403.774] (-2400.626) * (-2411.116) (-2392.707) [-2380.009] (-2414.117) -- 0:03:50 Average standard deviation of split frequencies: 0.011271 901000 -- (-2426.501) (-2469.687) (-2400.301) [-2386.147] * (-2400.065) (-2410.745) [-2385.800] (-2422.215) -- 0:03:48 902000 -- (-2419.916) (-2432.586) [-2384.459] (-2417.407) * [-2394.528] (-2421.792) (-2399.121) (-2447.460) -- 0:03:45 903000 -- (-2412.013) (-2459.176) [-2390.305] (-2425.693) * [-2384.933] (-2420.846) (-2386.691) (-2413.327) -- 0:03:43 904000 -- [-2401.993] (-2433.676) (-2398.680) (-2411.175) * [-2383.736] (-2419.673) (-2402.190) (-2398.444) -- 0:03:41 905000 -- (-2410.151) (-2428.602) (-2398.685) [-2403.658] * [-2384.760] (-2412.783) (-2421.963) (-2391.498) -- 0:03:38 Average standard deviation of split frequencies: 0.011215 906000 -- (-2415.098) (-2436.127) (-2422.470) [-2389.775] * [-2389.584] (-2436.930) (-2390.494) (-2399.563) -- 0:03:36 907000 -- (-2422.111) (-2409.743) [-2396.374] (-2406.567) * (-2399.417) (-2443.400) [-2393.397] (-2425.777) -- 0:03:34 908000 -- (-2400.286) (-2433.729) [-2389.285] (-2425.553) * [-2394.863] (-2444.908) (-2386.676) (-2456.790) -- 0:03:32 909000 -- (-2418.302) (-2412.437) [-2390.523] (-2423.583) * [-2399.126] (-2441.878) (-2389.502) (-2440.713) -- 0:03:29 910000 -- (-2422.361) (-2413.715) [-2391.161] (-2454.495) * [-2390.640] (-2454.094) (-2391.818) (-2423.795) -- 0:03:27 Average standard deviation of split frequencies: 0.011398 911000 -- (-2400.243) (-2419.021) [-2394.897] (-2417.917) * [-2386.268] (-2426.554) (-2390.212) (-2440.106) -- 0:03:25 912000 -- (-2429.830) (-2402.450) [-2402.356] (-2422.464) * (-2400.715) (-2417.241) [-2398.921] (-2445.379) -- 0:03:22 913000 -- (-2405.385) [-2397.215] (-2416.257) (-2431.036) * (-2400.260) (-2418.002) [-2395.999] (-2447.596) -- 0:03:20 914000 -- [-2388.176] (-2402.362) (-2459.942) (-2444.238) * [-2392.751] (-2403.998) (-2409.320) (-2454.226) -- 0:03:18 915000 -- [-2382.745] (-2415.239) (-2423.678) (-2444.549) * [-2389.109] (-2413.235) (-2395.207) (-2467.694) -- 0:03:15 Average standard deviation of split frequencies: 0.011417 916000 -- (-2387.386) [-2415.993] (-2426.465) (-2445.358) * [-2391.201] (-2413.564) (-2396.690) (-2470.607) -- 0:03:13 917000 -- [-2403.314] (-2444.853) (-2422.247) (-2426.504) * (-2407.597) (-2429.577) [-2391.660] (-2425.991) -- 0:03:11 918000 -- (-2410.660) (-2450.650) [-2396.980] (-2438.161) * (-2403.655) (-2422.672) [-2379.248] (-2428.919) -- 0:03:09 919000 -- (-2426.722) (-2431.699) [-2406.756] (-2409.122) * (-2410.679) (-2460.029) [-2380.068] (-2429.596) -- 0:03:06 920000 -- [-2415.702] (-2413.135) (-2401.098) (-2415.322) * (-2409.841) (-2474.896) [-2388.082] (-2432.251) -- 0:03:04 Average standard deviation of split frequencies: 0.011343 921000 -- (-2434.145) (-2420.265) [-2401.173] (-2418.422) * (-2410.643) (-2459.555) (-2399.705) [-2409.891] -- 0:03:02 922000 -- (-2420.653) (-2435.733) [-2398.485] (-2411.461) * [-2399.706] (-2448.922) (-2402.639) (-2404.506) -- 0:02:59 923000 -- (-2402.787) (-2448.566) (-2408.928) [-2403.874] * (-2400.457) (-2449.869) [-2398.975] (-2407.915) -- 0:02:57 924000 -- (-2404.922) (-2451.341) [-2395.149] (-2418.174) * (-2400.550) (-2443.679) [-2383.739] (-2415.232) -- 0:02:55 925000 -- (-2394.313) (-2442.580) [-2391.868] (-2411.052) * (-2414.684) (-2434.968) [-2381.910] (-2399.959) -- 0:02:52 Average standard deviation of split frequencies: 0.011254 926000 -- [-2391.491] (-2448.903) (-2402.106) (-2411.285) * (-2421.039) (-2426.394) [-2388.067] (-2403.134) -- 0:02:50 927000 -- (-2406.599) (-2437.366) [-2393.087] (-2405.169) * (-2408.469) (-2454.083) [-2401.720] (-2383.255) -- 0:02:48 928000 -- (-2427.180) (-2434.564) (-2413.170) [-2403.364] * [-2398.514] (-2446.606) (-2420.184) (-2377.297) -- 0:02:46 929000 -- (-2414.764) (-2448.273) (-2416.538) [-2392.904] * [-2392.207] (-2419.293) (-2440.270) (-2395.926) -- 0:02:43 930000 -- (-2426.742) (-2436.827) (-2436.862) [-2396.560] * [-2386.791] (-2411.305) (-2448.057) (-2401.455) -- 0:02:41 Average standard deviation of split frequencies: 0.011292 931000 -- (-2412.491) (-2440.927) (-2421.549) [-2405.835] * (-2387.780) (-2438.747) (-2458.118) [-2402.804] -- 0:02:39 932000 -- (-2405.453) (-2448.782) [-2394.100] (-2420.304) * (-2393.726) (-2411.451) (-2454.808) [-2395.998] -- 0:02:36 933000 -- (-2415.067) (-2451.008) [-2410.413] (-2412.117) * (-2389.572) (-2414.264) (-2439.806) [-2391.185] -- 0:02:34 934000 -- (-2412.272) (-2452.234) (-2413.284) [-2397.318] * (-2395.107) (-2420.924) (-2412.738) [-2384.097] -- 0:02:32 935000 -- (-2436.811) (-2446.738) (-2413.417) [-2391.070] * [-2383.493] (-2402.230) (-2415.752) (-2403.865) -- 0:02:29 Average standard deviation of split frequencies: 0.011180 936000 -- (-2432.135) (-2458.089) [-2408.274] (-2401.034) * (-2377.752) [-2394.871] (-2426.249) (-2390.548) -- 0:02:27 937000 -- (-2394.087) (-2464.625) [-2410.978] (-2411.456) * [-2399.254] (-2390.964) (-2449.559) (-2396.429) -- 0:02:25 938000 -- (-2439.529) (-2472.367) (-2406.572) [-2396.322] * (-2397.452) [-2388.822] (-2451.897) (-2407.548) -- 0:02:22 939000 -- (-2415.771) (-2439.365) (-2407.048) [-2396.058] * [-2386.350] (-2409.396) (-2444.008) (-2408.383) -- 0:02:20 940000 -- (-2409.241) (-2445.310) (-2418.457) [-2392.832] * [-2401.617] (-2426.913) (-2417.297) (-2393.995) -- 0:02:18 Average standard deviation of split frequencies: 0.011132 941000 -- (-2432.666) (-2447.743) (-2420.842) [-2389.491] * (-2405.914) (-2415.686) (-2443.158) [-2405.534] -- 0:02:15 942000 -- (-2422.486) (-2433.214) (-2424.417) [-2395.235] * (-2414.134) [-2398.412] (-2441.449) (-2403.428) -- 0:02:13 943000 -- (-2406.245) (-2416.246) (-2412.834) [-2384.149] * (-2420.085) [-2396.577] (-2408.065) (-2400.809) -- 0:02:11 944000 -- (-2397.465) (-2428.307) [-2389.468] (-2405.388) * (-2432.549) [-2390.052] (-2411.404) (-2391.507) -- 0:02:09 945000 -- (-2399.252) (-2436.564) [-2404.599] (-2392.949) * (-2443.076) (-2390.813) (-2395.682) [-2396.337] -- 0:02:06 Average standard deviation of split frequencies: 0.011181 946000 -- (-2408.486) (-2438.526) (-2407.449) [-2400.177] * (-2451.719) [-2394.095] (-2407.862) (-2428.482) -- 0:02:04 947000 -- (-2404.485) (-2440.143) (-2411.058) [-2413.745] * (-2456.394) [-2390.916] (-2403.926) (-2429.495) -- 0:02:02 948000 -- [-2391.531] (-2433.134) (-2408.269) (-2428.258) * (-2420.912) [-2394.643] (-2416.277) (-2450.343) -- 0:01:59 949000 -- [-2391.372] (-2412.205) (-2401.616) (-2428.809) * (-2428.864) [-2389.927] (-2445.695) (-2413.231) -- 0:01:57 950000 -- (-2410.630) [-2404.727] (-2411.739) (-2425.118) * (-2438.832) [-2381.432] (-2421.567) (-2407.625) -- 0:01:55 Average standard deviation of split frequencies: 0.011395 951000 -- (-2408.650) [-2399.642] (-2420.408) (-2435.211) * (-2403.308) [-2372.457] (-2431.704) (-2434.125) -- 0:01:52 952000 -- [-2390.796] (-2393.686) (-2430.615) (-2422.940) * (-2440.524) [-2383.752] (-2435.631) (-2398.258) -- 0:01:50 953000 -- (-2394.294) [-2391.521] (-2428.648) (-2401.811) * (-2432.507) (-2387.081) (-2448.097) [-2404.632] -- 0:01:48 954000 -- [-2387.623] (-2411.646) (-2425.845) (-2409.520) * (-2451.547) [-2398.157] (-2423.443) (-2403.295) -- 0:01:46 955000 -- [-2398.703] (-2408.321) (-2427.910) (-2406.444) * (-2447.539) (-2421.887) (-2423.993) [-2383.147] -- 0:01:43 Average standard deviation of split frequencies: 0.011365 956000 -- [-2380.902] (-2402.369) (-2435.045) (-2409.154) * (-2443.058) (-2416.259) (-2422.312) [-2392.058] -- 0:01:41 957000 -- [-2382.729] (-2405.901) (-2457.616) (-2410.424) * (-2449.340) (-2402.489) (-2424.237) [-2397.716] -- 0:01:39 958000 -- (-2389.063) [-2389.940] (-2460.767) (-2427.617) * (-2482.130) [-2410.707] (-2423.408) (-2401.212) -- 0:01:36 959000 -- (-2390.935) [-2371.494] (-2437.665) (-2419.323) * (-2470.115) [-2393.965] (-2429.474) (-2392.484) -- 0:01:34 960000 -- [-2380.621] (-2382.965) (-2429.045) (-2418.857) * (-2465.108) (-2401.374) (-2421.699) [-2373.802] -- 0:01:32 Average standard deviation of split frequencies: 0.011421 961000 -- (-2394.766) [-2384.672] (-2439.471) (-2443.563) * (-2466.362) (-2424.268) (-2393.340) [-2371.614] -- 0:01:29 962000 -- (-2400.635) [-2398.310] (-2440.222) (-2434.286) * (-2457.297) (-2420.834) (-2397.731) [-2373.336] -- 0:01:27 963000 -- [-2380.308] (-2395.019) (-2429.387) (-2433.340) * (-2446.362) (-2435.278) (-2393.142) [-2383.168] -- 0:01:25 964000 -- [-2384.451] (-2412.873) (-2416.958) (-2435.184) * (-2497.947) (-2411.896) (-2401.905) [-2393.592] -- 0:01:22 965000 -- [-2380.277] (-2419.742) (-2422.622) (-2443.280) * (-2446.849) [-2399.248] (-2395.605) (-2401.939) -- 0:01:20 Average standard deviation of split frequencies: 0.011315 966000 -- [-2394.782] (-2417.183) (-2435.738) (-2422.526) * (-2440.617) (-2410.933) (-2386.693) [-2398.704] -- 0:01:18 967000 -- [-2380.798] (-2417.505) (-2415.990) (-2443.776) * (-2447.336) (-2423.849) (-2399.294) [-2389.368] -- 0:01:16 968000 -- [-2384.891] (-2396.842) (-2429.139) (-2457.050) * (-2446.341) (-2415.972) (-2404.430) [-2399.296] -- 0:01:13 969000 -- [-2380.706] (-2398.245) (-2406.277) (-2435.757) * (-2409.590) (-2463.454) (-2392.992) [-2393.664] -- 0:01:11 970000 -- [-2380.543] (-2395.526) (-2392.144) (-2421.663) * (-2461.455) (-2426.011) [-2408.132] (-2413.335) -- 0:01:09 Average standard deviation of split frequencies: 0.011260 971000 -- [-2388.524] (-2414.484) (-2404.261) (-2428.575) * (-2455.658) (-2407.870) (-2416.266) [-2410.285] -- 0:01:06 972000 -- [-2395.714] (-2402.259) (-2386.155) (-2422.339) * (-2418.596) (-2424.977) [-2407.388] (-2391.379) -- 0:01:04 973000 -- (-2399.162) (-2409.367) [-2391.426] (-2401.021) * (-2433.338) [-2404.645] (-2409.340) (-2397.175) -- 0:01:02 974000 -- (-2426.191) (-2437.667) (-2393.372) [-2403.976] * (-2426.768) [-2386.168] (-2419.735) (-2384.102) -- 0:00:59 975000 -- (-2429.621) (-2446.028) [-2382.703] (-2400.276) * (-2415.217) (-2381.315) (-2416.024) [-2385.686] -- 0:00:57 Average standard deviation of split frequencies: 0.011220 976000 -- (-2414.072) (-2445.462) [-2381.158] (-2403.222) * (-2436.570) [-2396.254] (-2417.352) (-2395.311) -- 0:00:55 977000 -- (-2399.218) (-2445.449) [-2382.498] (-2420.085) * (-2430.468) [-2394.800] (-2422.622) (-2404.302) -- 0:00:53 978000 -- (-2403.631) (-2464.940) [-2389.975] (-2425.767) * (-2454.663) (-2419.518) (-2404.830) [-2392.057] -- 0:00:50 979000 -- [-2392.300] (-2442.972) (-2399.855) (-2415.125) * (-2425.995) (-2410.995) (-2434.452) [-2394.760] -- 0:00:48 980000 -- (-2418.731) (-2414.874) [-2396.265] (-2448.549) * (-2410.742) (-2453.380) (-2424.864) [-2394.261] -- 0:00:46 Average standard deviation of split frequencies: 0.011313 981000 -- (-2447.495) [-2401.660] (-2407.260) (-2434.273) * (-2402.243) (-2418.624) (-2423.739) [-2395.648] -- 0:00:43 982000 -- (-2434.231) (-2417.259) [-2404.243] (-2451.939) * (-2418.800) (-2435.685) (-2430.238) [-2385.541] -- 0:00:41 983000 -- (-2422.232) (-2426.546) [-2401.765] (-2427.713) * (-2407.365) (-2441.728) (-2422.566) [-2394.464] -- 0:00:39 984000 -- [-2422.119] (-2421.604) (-2410.182) (-2432.985) * (-2418.086) (-2434.704) (-2433.240) [-2392.104] -- 0:00:36 985000 -- (-2423.217) (-2424.640) [-2402.439] (-2412.370) * (-2406.692) (-2468.864) (-2425.846) [-2387.431] -- 0:00:34 Average standard deviation of split frequencies: 0.011200 986000 -- (-2430.865) [-2397.063] (-2398.039) (-2426.558) * (-2402.834) (-2434.227) (-2425.590) [-2380.708] -- 0:00:32 987000 -- (-2413.335) (-2406.202) [-2395.047] (-2433.864) * (-2406.889) (-2426.757) (-2459.092) [-2389.321] -- 0:00:29 988000 -- (-2404.775) (-2415.226) [-2396.666] (-2457.623) * (-2450.974) (-2418.511) (-2423.871) [-2393.113] -- 0:00:27 989000 -- (-2415.869) (-2415.190) [-2405.360] (-2435.647) * (-2410.278) (-2453.667) [-2411.712] (-2419.065) -- 0:00:25 990000 -- (-2423.046) (-2397.997) [-2402.987] (-2452.627) * (-2400.588) (-2423.663) [-2406.079] (-2435.155) -- 0:00:23 Average standard deviation of split frequencies: 0.011010 991000 -- (-2430.987) [-2398.390] (-2434.728) (-2409.323) * (-2416.562) [-2421.172] (-2404.628) (-2459.744) -- 0:00:20 992000 -- (-2436.534) [-2390.065] (-2401.105) (-2407.716) * [-2397.006] (-2419.095) (-2415.091) (-2450.984) -- 0:00:18 993000 -- (-2424.615) (-2397.933) [-2397.484] (-2423.598) * [-2385.882] (-2432.775) (-2407.256) (-2446.358) -- 0:00:16 994000 -- (-2436.752) [-2382.352] (-2432.785) (-2413.437) * (-2395.354) (-2433.085) [-2395.600] (-2448.306) -- 0:00:13 995000 -- (-2451.187) [-2393.958] (-2443.570) (-2409.211) * [-2393.927] (-2415.335) (-2404.246) (-2448.312) -- 0:00:11 Average standard deviation of split frequencies: 0.011158 996000 -- (-2435.021) [-2394.444] (-2429.307) (-2405.021) * (-2393.329) (-2434.984) [-2406.889] (-2418.115) -- 0:00:09 997000 -- (-2413.516) [-2391.024] (-2412.108) (-2408.995) * [-2392.462] (-2442.047) (-2406.563) (-2413.547) -- 0:00:06 998000 -- (-2402.646) [-2382.915] (-2425.320) (-2395.351) * [-2390.444] (-2439.594) (-2383.063) (-2430.516) -- 0:00:04 999000 -- (-2405.431) (-2379.792) (-2430.702) [-2402.715] * [-2396.435] (-2439.970) (-2413.506) (-2424.194) -- 0:00:02 1000000 -- (-2444.538) [-2379.155] (-2415.287) (-2421.034) * (-2415.374) (-2439.126) [-2402.201] (-2432.847) -- 0:00:00 Average standard deviation of split frequencies: 0.011144 Analysis completed in 38 mins 26 seconds Analysis used 2303.01 seconds of CPU time Likelihood of best state for "cold" chain of run 1 was -2358.59 Likelihood of best state for "cold" chain of run 2 was -2364.67 Acceptance rates for the moves in the "cold" chain of run 1: With prob. (last 100) chain accepted proposals by move 45.4 % ( 33 %) Dirichlet(Revmat{all}) 62.6 % ( 51 %) Slider(Revmat{all}) 25.5 % ( 26 %) Dirichlet(Pi{all}) 27.6 % ( 30 %) Slider(Pi{all}) 50.9 % ( 23 %) Multiplier(Alpha{1,2}) 54.6 % ( 30 %) Multiplier(Alpha{3}) 65.4 % ( 50 %) Slider(Pinvar{all}) 60.4 % ( 59 %) ExtSPR(Tau{all},V{all}) 50.8 % ( 47 %) ExtTBR(Tau{all},V{all}) 68.2 % ( 72 %) NNI(Tau{all},V{all}) 29.5 % ( 28 %) ParsSPR(Tau{all},V{all}) 27.5 % ( 35 %) Multiplier(V{all}) 75.1 % ( 79 %) Nodeslider(V{all}) 25.2 % ( 28 %) TLMultiplier(V{all}) Acceptance rates for the moves in the "cold" chain of run 2: With prob. (last 100) chain accepted proposals by move 45.7 % ( 32 %) Dirichlet(Revmat{all}) 62.0 % ( 52 %) Slider(Revmat{all}) 25.7 % ( 28 %) Dirichlet(Pi{all}) 27.4 % ( 21 %) Slider(Pi{all}) 52.1 % ( 32 %) Multiplier(Alpha{1,2}) 56.0 % ( 34 %) Multiplier(Alpha{3}) 66.8 % ( 48 %) Slider(Pinvar{all}) 60.4 % ( 55 %) ExtSPR(Tau{all},V{all}) 50.6 % ( 51 %) ExtTBR(Tau{all},V{all}) 67.7 % ( 72 %) NNI(Tau{all},V{all}) 29.4 % ( 31 %) ParsSPR(Tau{all},V{all}) 27.5 % ( 20 %) Multiplier(V{all}) 74.8 % ( 71 %) Nodeslider(V{all}) 25.2 % ( 24 %) TLMultiplier(V{all}) Chain swap information for run 1: 1 2 3 4 ---------------------------------- 1 | 0.15 0.01 0.00 2 | 166761 0.16 0.01 3 | 166326 166576 0.17 4 | 167041 166386 166910 Chain swap information for run 2: 1 2 3 4 ---------------------------------- 1 | 0.15 0.00 0.00 2 | 166395 0.17 0.01 3 | 166873 166984 0.16 4 | 166642 166522 166584 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) +------------------------------------------------------------+ -2380.34 | 2 | | 1 2 | | 1 1 | | 2 2 2 | | 2 2 1 | | 1 2 1 21 2 1 1 1 | | 1 1 1 1 11 111 122 12 1 1 1 22 2 | | 1* 2 12 1 12 12 21 1 | |2 1 2 1 2121 2 21 2 1 2 2 22 2 | | 2 22 2 2 1 21 1 1| |12 1 2 * 2 2 1 2 2 2 | | 2 11 1 11 2 2 22 2 | | 1 2 1 1 1 1 1 | | 2 2 11 | | 2 2 1 2| +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2400.24 ^ ^ 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 -2368.45 -2424.56 2 -2371.26 -2420.84 -------------------------------------- TOTAL -2369.09 -2423.90 -------------------------------------- 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} 0.260849 0.000729 0.210142 0.314926 0.259221 963.20 1135.96 1.000 r(A<->C){all} 0.036410 0.000323 0.006675 0.070482 0.033640 573.49 590.19 1.001 r(A<->G){all} 0.262163 0.001687 0.175833 0.338354 0.259665 386.04 410.74 1.000 r(A<->T){all} 0.048245 0.000143 0.026685 0.072211 0.047282 582.89 753.39 1.000 r(C<->G){all} 0.042263 0.000413 0.007928 0.082452 0.039574 457.29 509.85 1.000 r(C<->T){all} 0.543040 0.002183 0.449800 0.633708 0.543318 461.43 472.13 1.000 r(G<->T){all} 0.067880 0.000231 0.040548 0.100101 0.066949 819.67 829.52 1.000 pi(A){all} 0.255538 0.000205 0.229024 0.284286 0.255646 837.30 926.95 1.000 pi(C){all} 0.124955 0.000108 0.106001 0.146961 0.124868 804.76 820.43 1.000 pi(G){all} 0.194233 0.000160 0.167747 0.217322 0.194213 884.53 888.65 1.001 pi(T){all} 0.425275 0.000261 0.391931 0.455427 0.425465 722.93 775.20 1.000 alpha{1,2} 0.249106 0.023647 0.001703 0.494507 0.220812 795.16 832.83 1.000 alpha{3} 1.858231 1.180781 0.325982 3.950826 1.610076 908.02 946.70 1.000 pinvar{all} 0.351664 0.016791 0.080961 0.576567 0.365789 570.32 603.34 1.002 ------------------------------------------------------------------------------------------------------ * Convergence diagnostic (ESS = Estimated Sample Size); min and avg values correspond to minimal and average ESS among runs. ESS value below 100 may indicate that the parameter is undersampled. + Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman and Rubin, 1992) should approach 1.0 as runs converge. Setting sumt conformat to Simple Setting urn-in to 2500 Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t" Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con> Examining first file ... Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block Expecting the same number of trees in the last tree block of all files Tree reading status: 0 10 20 30 40 50 60 70 80 90 100 v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v ********************************************************************************* Read a total of 4002 trees in 2 files (sampling 3002 of them) (Each file contained 2001 trees of which 1501 were sampled) General explanation: In an unrooted tree, a taxon bipartition (split) is specified by removing a branch, thereby dividing the species into those to the left and those to the right of the branch. Here, taxa to one side of the removed branch are denoted '.' and those to the other side are denoted '*'. Specifically, the '.' symbol is used for the taxa on the same side as the outgroup. In a rooted or clock tree, the tree is rooted using the model and not by reference to an outgroup. Each bipartition therefore corresponds to a clade, that is, a group that includes all the descendants of a particular branch in the tree. Taxa that are included in each clade are denoted using '*', and taxa that are not included are denoted using the '.' symbol. The output first includes a key to all the bipartitions with frequency larger or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to sumt command and currently it is set to 0.10. This is followed by a table with statistics for the informative bipartitions (those including at least two taxa), sorted from highest to lowest probability. For each bipartition, the table gives the number of times the partition or split was observed in all runs (#obs) and the posterior probability of the bipartition (Probab.), which is the same as the split frequency. If several runs are summarized, this is followed by the minimum split frequency (Min(s)), the maximum frequency (Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs. The latter value should approach 0 for all bipartitions as MCMC runs converge. This is followed by a table summarizing branch lengths, node heights (if a clock model was used) and relaxed clock parameters (if a relaxed clock model was used). The mean, variance, and 95 % credible interval are given for each of these parameters. If several runs are summarized, the potential scale reduction factor (PSRF) is also given; it should approach 1 as runs converge. Node heights will take calibration points into account, if such points were used in the analysis. Note that Stddev may be unreliable if the partition is not present in all runs (the last column indicates the number of runs that sampled the partition if more than one run is summarized). The PSRF is not calculated at all if the partition is not present in all runs.The PSRF is also sensitive to small sample sizes and it should only be considered a rough guide to convergence since some of the assumptions allowing one to interpret it as a true potential scale reduction factor are violated in MrBayes. List of taxa in bipartitions: 1 -- C4 2 -- C216 3 -- C7 4 -- C53 5 -- C83 6 -- C113 7 -- C148 8 -- C173 9 -- C197 10 -- C221 11 -- C242 12 -- C189 13 -- C258 14 -- C11 15 -- C31 16 -- C36 17 -- C42 18 -- C50 19 -- C57 20 -- C61 21 -- C67 22 -- C80 23 -- C82 24 -- C85 25 -- C91 26 -- C99 27 -- C106 28 -- C110 29 -- C116 30 -- C129 31 -- C134 32 -- C140 33 -- C15 34 -- C225 35 -- C155 36 -- C159 37 -- C165 38 -- C6 39 -- C183 40 -- C2 41 -- C17 42 -- C204 43 -- C208 44 -- C214 45 -- C78 46 -- C227 47 -- C232 48 -- C238 49 -- C246 50 -- C253 51 -- C257 52 -- C263 53 -- C276 54 -- C281 55 -- C60 56 -- C178 57 -- C32 58 -- C139 59 -- C71 60 -- C115 61 -- C63 62 -- C122 63 -- C121 64 -- C66 65 -- C123 66 -- C124 67 -- C274 68 -- C65 69 -- C70 70 -- C23 71 -- C128 72 -- C73 73 -- C130 74 -- C131 75 -- C72 76 -- C77 77 -- C136 78 -- C93 79 -- C135 80 -- C29 81 -- C137 82 -- C138 83 -- C79 84 -- C84 85 -- C143 86 -- C142 87 -- C87 88 -- C144 89 -- C156 90 -- C145 Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"): ID -- Partition -------------------------------------------------------------------------------- 1 -- .********************************************************************** 2 -- .*..................................................................... 3 -- ..*.................................................................... 4 -- ...*................................................................... 5 -- ....*.................................................................. 6 -- .....*................................................................. 7 -- ......*................................................................ 8 -- .......*............................................................... 9 -- ........*.............................................................. 10 -- .........*............................................................. 11 -- ..........*............................................................ 12 -- ...........*........................................................... 13 -- ............*.......................................................... 14 -- .............*......................................................... 15 -- ..............*........................................................ 16 -- ...............*....................................................... 17 -- ................*...................................................... 18 -- .................*..................................................... 19 -- ..................*.................................................... 20 -- ...................*................................................... 21 -- ....................*.................................................. 22 -- .....................*................................................. 23 -- ......................*................................................ 24 -- .......................*............................................... 25 -- ........................*.............................................. 26 -- .........................*............................................. 27 -- ..........................*............................................ 28 -- ...........................*........................................... 29 -- ............................*.......................................... 30 -- .............................*......................................... 31 -- ..............................*........................................ 32 -- ...............................*....................................... 33 -- ................................*...................................... 34 -- .................................*..................................... 35 -- ..................................*.................................... 36 -- ...................................*................................... 37 -- ....................................*.................................. 38 -- .....................................*................................. 39 -- ......................................*................................ 40 -- .......................................*............................... 41 -- ........................................*.............................. 42 -- .........................................*............................. 43 -- ..........................................*............................ 44 -- ...........................................*........................... 45 -- ............................................*.......................... 46 -- .............................................*......................... 47 -- ..............................................*........................ 48 -- ...............................................*....................... 49 -- ................................................*...................... 50 -- .................................................*..................... 51 -- ..................................................*.................... 52 -- ...................................................*................... 53 -- ....................................................*.................. 54 -- .....................................................*................. 55 -- ......................................................*................ 56 -- .......................................................*............... 57 -- ........................................................*.............. 58 -- .........................................................*............. 59 -- ..........................................................*............ 60 -- ...........................................................*........... 61 -- ............................................................*.......... 62 -- .............................................................*......... 63 -- ..............................................................*........ 64 -- ...............................................................*....... 65 -- ................................................................*...... 66 -- .................................................................*..... 67 -- ..................................................................*.... 68 -- ...................................................................*... 69 -- ....................................................................*.. 70 -- .....................................................................*. 71 -- ......................................................................* 72 -- ....................................................................... 73 -- ....................................................................... 74 -- ....................................................................... 75 -- ....................................................................... 76 -- ....................................................................... 77 -- ....................................................................... 78 -- ....................................................................... 79 -- ....................................................................... 80 -- ....................................................................... 81 -- ....................................................................... 82 -- ....................................................................... 83 -- ....................................................................... 84 -- ....................................................................... 85 -- ....................................................................... 86 -- ....................................................................... 87 -- ....................................................................... 88 -- ....................................................................... 89 -- ....................................................................... 90 -- ....................................................................... 91 -- ..........................................................*....*....... 92 -- .............................*............**................*.......... 93 -- .......*...*...........................................*............... 94 -- .*.*.*...**.......*.*....****....*...........*****.**.....**.********.* 95 -- .*.*.*...**.......*.*....*****...*........**.*****.**.....***********.* 96 -- .....*........................................*............*..........* 97 -- .............................................*...................*..... 98 -- ........................*.......*...................................... 99 -- ....*.................**....................*.......................... 100 -- ........*...............*.......*.....*................................ 101 -- ....................................................*.............*.... 102 -- ..............................*..........................*............. 103 -- .............................*..............................*.......... 104 -- ..................*.................................................... 105 -- .********************************************************************** 106 -- .....*...**................**.................**.*.........*..*.......* 107 -- ..*...*.....*......*.*.........*..*..*............*..**................ 108 -- .*.*.*.*****......*.*...******..**....*..***.*****.**..*..************* 109 -- .............................*.............*................*.......... 110 -- ..*...*.....*......*.*.........*..*..*............*...*................ 111 -- .................................*...........................*..*...... 112 -- .*.*.*.*.***......*.*....*****...*........**.*****.**..*..***********.* 113 -- .....*...*.................**.................**.*.........*..*.......* 114 -- .........................*..........................................*.. 115 -- ....................*....*..........................................*.. 116 -- .**************************************.******************************* 117 -- .....*...**................**....*...........*****.........*.**.**....* 118 -- ...*......................*........................*......*....*...*... 119 -- .*...*...**.......*.*....*.**....*...........*****..*......*.**.***.*.* 120 -- .*.*..............*.*....**........................**.....*....*..***.. 121 -- .....................................................*................. 122 -- ..................................................................*.... 123 -- ........................*.......*.....*................................ 124 -- ...........*...........................................*............... 125 -- .........................................................*............. 126 -- .......*...*........................................................... 127 -- ....................................................................... 128 -- ..............................*........................................ 129 -- ........*...............*.......*...................................... 130 -- ..................*.................................................... 131 -- ..................*.................................................... 132 -- ........*.............................*................................ 133 -- .......*...............................................*............... 134 -- ....................................................*.................. 135 -- ..............................*..........................*............. 136 -- ....................................................*.............*.... 137 -- ..*...*.....*......*.*.........*..*..*............*...*................ 138 -- .............................................................*..*...... 139 -- .................................*...........................*......... 140 -- ..*...*.....*......*.*.........*..*..*............*..**................ 141 -- .................................*..............................*...... 142 -- .....*...**................**................***.*.........*..*..*....* 143 -- .*.*.*...**.......*.*....****....*...........*****.**......*.**.*****.* 144 -- .....*...**................**....*............**.*.........*.**.*.....* 145 -- ........*...............*.......*.....*..............................*. 146 -- ...*..............*.*....**........................*......*....*...**.. 147 -- .*...*...**................**....*...........*****..*......*.**.***...* 148 -- ...*......................*........................*...............*... 149 -- .....*.....................................................*..........* 150 -- .....*........................................*............*........... 151 -- ...*..............*.......*........................*......*....*...*... 152 -- ...........................................................*..........* 153 -- .....*.....................................................*........... 154 -- ..............................................*.......................* 155 -- .....*........................................*........................ 156 -- ..............................................*............*..........* 157 -- ....................*...............................................*.. 158 -- .*...*...**.........*....*.**....*...........*****..*......*.**.***.*.* 159 -- .*.*.*.*****......*.*...******..**....*...**.*****.**..*..************* 160 -- .....*........................................*.......................* 161 -- ..............................................*............*........... 162 -- .....*................................................................* 163 -- ........*...............*.......*.....*..*...........................*. 164 -- .........................................*...........................*. 165 -- .*.*.*.*.***......*.*....*****...*.......***.*****.**..*..***********.* 166 -- .*..................................................................... 167 -- .*.*.*.*.***......*.*....*****...*.......***.*****.**..*..************* 168 -- ........*...............*.......*.....*..*............................. 169 -- ..................*.*....*..........................................*.. 170 -- .*.*.*.*.***......*.*....*****...*........**.*****.**..*..************* 171 -- ....................................................*.............*.... 172 -- .*.*.*.*****......*.*...******..**....*..***.*****.**..*..***********.* 173 -- .*..................................................*.............*.... 174 -- .*.*.*.*****......*.*...******..**....*...**.*****.**..*..***********.* 175 -- .*..................................................*.............*.... 176 -- ................................................*...................... 177 -- ...*......................*............................................ 178 -- ...*...............................................*................... 179 -- ..........................*........................................*... 180 -- ..........................*........................*................... 181 -- ...................................................*...............*... 182 -- ...*...............................................................*... 183 -- .....*...**................**....*...........***.*.........*.**.**....* 184 -- .....*...**................**....*...........***.*.........*.**.**....* 185 -- .............................................*...................*..... 186 -- .................................*..............*............*..*...... 187 -- ...........................*..................................*........ 188 -- ..........................*........................*...............*... 189 -- ...*......................................................*....*....... -------------------------------------------------------------------------------- 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 -- ................... 127 -- .*...............*. 128 -- .......*........... 129 -- ................... 130 -- .................*. 131 -- .*................. 132 -- ................... 133 -- ................... 134 -- ........*.......... 135 -- ................... 136 -- ................... 137 -- ....**...*...**.*.* 138 -- ................... 139 -- ................... 140 -- ....*....*...**.*.* 141 -- ................... 142 -- ................... 143 -- **.*....*........*. 144 -- ................... 145 -- ................... 146 -- .*...............*. 147 -- *..*....*.......... 148 -- ................... 149 -- ................... 150 -- ................... 151 -- .*...............*. 152 -- ................... 153 -- ................... 154 -- ................... 155 -- ................... 156 -- ................... 157 -- ................... 158 -- *..*....*.......... 159 -- **.*....*........*. 160 -- ................... 161 -- ................... 162 -- ................... 163 -- ................... 164 -- ................... 165 -- **.*....*........*. 166 -- ...*............... 167 -- **.*....*........*. 168 -- ................... 169 -- .*...............*. 170 -- **.*....*........*. 171 -- ...*....*.......... 172 -- **.*....*........*. 173 -- ........*.......... 174 -- **.*....*........*. 175 -- ...*....*.......... 176 -- *.................. 177 -- ................... 178 -- ................... 179 -- ................... 180 -- ................... 181 -- ................... 182 -- ................... 183 -- *.................. 184 -- ................... 185 -- *.................. 186 -- ................... 187 -- ................... 188 -- ................... 189 -- ................... -------------------------------------------------------------------------------- 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 3002 1.000000 0.000000 1.000000 1.000000 2 97 3002 1.000000 0.000000 1.000000 1.000000 2 98 3002 1.000000 0.000000 1.000000 1.000000 2 99 3002 1.000000 0.000000 1.000000 1.000000 2 100 2990 0.996003 0.000942 0.995336 0.996669 2 101 2982 0.993338 0.004711 0.990007 0.996669 2 102 2982 0.993338 0.005653 0.989340 0.997335 2 103 2965 0.987675 0.000471 0.987342 0.988008 2 104 2961 0.986342 0.005182 0.982678 0.990007 2 105 2960 0.986009 0.006595 0.981346 0.990673 2 106 2806 0.934710 0.012248 0.926049 0.943371 2 107 2797 0.931712 0.002355 0.930047 0.933378 2 108 2763 0.920386 0.008951 0.914057 0.926716 2 109 2747 0.915057 0.001413 0.914057 0.916056 2 110 2538 0.845436 0.010364 0.838108 0.852765 2 111 2366 0.788141 0.043340 0.757495 0.818787 2 112 2336 0.778148 0.022612 0.762159 0.794137 2 113 2267 0.755163 0.007066 0.750167 0.760160 2 114 2250 0.749500 0.016959 0.737508 0.761492 2 115 2213 0.737175 0.005182 0.733511 0.740839 2 116 1612 0.536975 0.042398 0.506995 0.566955 2 117 1378 0.459027 0.006595 0.454364 0.463691 2 118 1349 0.449367 0.006124 0.445037 0.453698 2 119 1290 0.429714 0.016959 0.417722 0.441706 2 120 1256 0.418388 0.009422 0.411726 0.425050 2 121 1086 0.361759 0.016959 0.349767 0.373751 2 122 1047 0.348767 0.004240 0.345769 0.351765 2 123 1021 0.340107 0.019315 0.326449 0.353764 2 124 1017 0.338774 0.025910 0.320453 0.357095 2 125 1017 0.338774 0.008951 0.332445 0.345103 2 126 1007 0.335443 0.019315 0.321785 0.349101 2 127 1006 0.335110 0.025439 0.317122 0.353098 2 128 995 0.331446 0.012719 0.322452 0.340440 2 129 995 0.331446 0.004240 0.328448 0.334444 2 130 995 0.331446 0.006124 0.327115 0.335776 2 131 993 0.330779 0.031563 0.308461 0.353098 2 132 981 0.326782 0.012719 0.317788 0.335776 2 133 978 0.325783 0.006595 0.321119 0.330446 2 134 977 0.325450 0.005182 0.321785 0.329114 2 135 976 0.325117 0.000942 0.324450 0.325783 2 136 975 0.324783 0.000471 0.324450 0.325117 2 137 964 0.321119 0.009422 0.314457 0.327781 2 138 916 0.305130 0.035803 0.279813 0.330446 2 139 909 0.302798 0.005182 0.299134 0.306462 2 140 908 0.302465 0.014133 0.292472 0.312458 2 141 900 0.299800 0.000942 0.299134 0.300466 2 142 820 0.273151 0.009422 0.266489 0.279813 2 143 818 0.272485 0.039572 0.244504 0.300466 2 144 729 0.242838 0.032505 0.219853 0.265823 2 145 728 0.242505 0.004711 0.239174 0.245836 2 146 727 0.242172 0.014604 0.231845 0.252498 2 147 642 0.213857 0.024497 0.196536 0.231179 2 148 631 0.210193 0.050407 0.174550 0.245836 2 149 630 0.209860 0.013191 0.200533 0.219187 2 150 629 0.209527 0.013662 0.199867 0.219187 2 151 626 0.208528 0.000000 0.208528 0.208528 2 152 624 0.207861 0.027323 0.188541 0.227182 2 153 620 0.206529 0.012248 0.197868 0.215190 2 154 604 0.201199 0.015075 0.190540 0.211859 2 155 596 0.198534 0.016959 0.186542 0.210526 2 156 595 0.198201 0.008951 0.191872 0.204530 2 157 590 0.196536 0.003769 0.193871 0.199201 2 158 589 0.196203 0.004240 0.193205 0.199201 2 159 587 0.195536 0.012719 0.186542 0.204530 2 160 581 0.193538 0.006124 0.189207 0.197868 2 161 564 0.187875 0.014133 0.177881 0.197868 2 162 561 0.186875 0.005182 0.183211 0.190540 2 163 542 0.180546 0.011306 0.172552 0.188541 2 164 541 0.180213 0.001413 0.179214 0.181213 2 165 541 0.180213 0.008009 0.174550 0.185876 2 166 535 0.178215 0.010835 0.170553 0.185876 2 167 517 0.172219 0.013662 0.162558 0.181879 2 168 507 0.168887 0.001413 0.167888 0.169887 2 169 499 0.166223 0.018373 0.153231 0.179214 2 170 497 0.165556 0.001413 0.164557 0.166556 2 171 489 0.162891 0.000471 0.162558 0.163225 2 172 477 0.158894 0.011777 0.150566 0.167222 2 173 475 0.158228 0.007066 0.153231 0.163225 2 174 448 0.149234 0.007537 0.143904 0.154564 2 175 445 0.148235 0.013662 0.138574 0.157895 2 176 438 0.145903 0.010364 0.138574 0.153231 2 177 435 0.144903 0.020257 0.130580 0.159227 2 178 433 0.144237 0.006124 0.139907 0.148568 2 179 431 0.143571 0.019315 0.129913 0.157229 2 180 416 0.138574 0.016017 0.127249 0.149900 2 181 413 0.137575 0.011777 0.129247 0.145903 2 182 386 0.128581 0.006595 0.123917 0.133245 2 183 314 0.104597 0.005653 0.100600 0.108594 2 184 309 0.102931 0.008009 0.097268 0.108594 2 185 307 0.102265 0.002355 0.100600 0.103931 2 186 300 0.099933 0.001884 0.098601 0.101266 2 187 290 0.096602 0.011306 0.088608 0.104597 2 188 279 0.092938 0.025910 0.074617 0.111259 2 189 260 0.086609 0.019786 0.072618 0.100600 2 ----------------------------------------------------------------- + Convergence diagnostic (standard deviation of split frequencies) should approach 0.0 as runs converge. Summary statistics for branch and node parameters (saved to file "/data/mrbayes_input.nex.vstat"): 95% HPD Interval -------------------- Parameter Mean Variance Lower Upper Median PSRF+ Nruns -------------------------------------------------------------------------------------------- length{all}[1] 0.000700 0.000000 0.000001 0.002099 0.000504 1.000 2 length{all}[2] 0.000726 0.000001 0.000000 0.002173 0.000513 1.000 2 length{all}[3] 0.000721 0.000001 0.000000 0.002261 0.000504 1.001 2 length{all}[4] 0.004855 0.000004 0.001549 0.008852 0.004516 1.000 2 length{all}[5] 0.000724 0.000001 0.000001 0.002155 0.000510 1.001 2 length{all}[6] 0.001381 0.000001 0.000030 0.003306 0.001130 1.005 2 length{all}[7] 0.000705 0.000001 0.000000 0.002245 0.000469 1.000 2 length{all}[8] 0.001423 0.000001 0.000025 0.003327 0.001211 1.002 2 length{all}[9] 0.000753 0.000001 0.000001 0.002285 0.000519 1.004 2 length{all}[10] 0.001436 0.000001 0.000075 0.003464 0.001208 1.000 2 length{all}[11] 0.001440 0.000001 0.000009 0.003740 0.001171 1.000 2 length{all}[12] 0.002741 0.000002 0.000482 0.005580 0.002480 1.000 2 length{all}[13] 0.000784 0.000001 0.000000 0.002282 0.000561 1.009 2 length{all}[14] 0.000718 0.000001 0.000000 0.002150 0.000495 1.001 2 length{all}[15] 0.000710 0.000001 0.000000 0.002144 0.000502 1.005 2 length{all}[16] 0.000711 0.000000 0.000000 0.002050 0.000484 1.000 2 length{all}[17] 0.001467 0.000001 0.000041 0.003645 0.001209 1.001 2 length{all}[18] 0.001433 0.000001 0.000058 0.003490 0.001165 1.000 2 length{all}[19] 0.008748 0.000007 0.003839 0.013653 0.008403 1.004 2 length{all}[20] 0.001451 0.000001 0.000088 0.003460 0.001236 1.000 2 length{all}[21] 0.003968 0.000003 0.000886 0.007689 0.003647 1.001 2 length{all}[22] 0.001419 0.000001 0.000035 0.003513 0.001199 1.002 2 length{all}[23] 0.000687 0.000000 0.000000 0.001973 0.000491 1.003 2 length{all}[24] 0.000710 0.000001 0.000000 0.002146 0.000478 1.000 2 length{all}[25] 0.000749 0.000001 0.000001 0.002302 0.000495 1.000 2 length{all}[26] 0.002026 0.000002 0.000047 0.004539 0.001732 1.000 2 length{all}[27] 0.000758 0.000001 0.000000 0.002233 0.000513 1.000 2 length{all}[28] 0.000728 0.000001 0.000001 0.002154 0.000494 1.000 2 length{all}[29] 0.000701 0.000001 0.000000 0.002156 0.000492 1.000 2 length{all}[30] 0.000675 0.000001 0.000000 0.002120 0.000443 1.000 2 length{all}[31] 0.001418 0.000001 0.000028 0.003337 0.001214 1.000 2 length{all}[32] 0.001455 0.000001 0.000015 0.003324 0.001277 1.000 2 length{all}[33] 0.000719 0.000001 0.000001 0.002195 0.000487 1.000 2 length{all}[34] 0.000691 0.000001 0.000001 0.002134 0.000467 1.000 2 length{all}[35] 0.000723 0.000001 0.000000 0.002174 0.000509 1.003 2 length{all}[36] 0.000703 0.000000 0.000000 0.002103 0.000485 1.000 2 length{all}[37] 0.000704 0.000001 0.000000 0.002128 0.000489 1.002 2 length{all}[38] 0.000726 0.000000 0.000000 0.002113 0.000518 1.001 2 length{all}[39] 0.002240 0.000002 0.000234 0.004784 0.001935 1.000 2 length{all}[40] 0.001768 0.000001 0.000045 0.004089 0.001501 1.000 2 length{all}[41] 0.000723 0.000001 0.000000 0.002177 0.000500 1.001 2 length{all}[42] 0.000715 0.000001 0.000000 0.002170 0.000491 1.000 2 length{all}[43] 0.002946 0.000002 0.000556 0.005722 0.002738 1.001 2 length{all}[44] 0.006479 0.000005 0.002365 0.011057 0.006170 1.000 2 length{all}[45] 0.000702 0.000000 0.000001 0.002020 0.000476 1.001 2 length{all}[46] 0.000718 0.000001 0.000000 0.002270 0.000486 1.002 2 length{all}[47] 0.000693 0.000001 0.000000 0.002142 0.000468 1.000 2 length{all}[48] 0.001444 0.000001 0.000019 0.003497 0.001168 1.001 2 length{all}[49] 0.000711 0.000000 0.000000 0.002084 0.000540 1.000 2 length{all}[50] 0.000737 0.000001 0.000002 0.002129 0.000523 1.003 2 length{all}[51] 0.000660 0.000000 0.000000 0.002009 0.000462 1.001 2 length{all}[52] 0.008599 0.000008 0.003832 0.014134 0.008129 1.000 2 length{all}[53] 0.000702 0.000001 0.000000 0.002150 0.000470 1.000 2 length{all}[54] 0.000754 0.000001 0.000001 0.002253 0.000498 1.000 2 length{all}[55] 0.000696 0.000001 0.000001 0.002125 0.000499 1.000 2 length{all}[56] 0.000705 0.000000 0.000000 0.002184 0.000476 1.000 2 length{all}[57] 0.000705 0.000001 0.000000 0.002112 0.000472 1.002 2 length{all}[58] 0.000699 0.000001 0.000000 0.002101 0.000481 1.000 2 length{all}[59] 0.002030 0.000001 0.000221 0.004492 0.001793 1.000 2 length{all}[60] 0.000725 0.000001 0.000001 0.002148 0.000508 1.000 2 length{all}[61] 0.000706 0.000001 0.000000 0.002149 0.000489 1.003 2 length{all}[62] 0.000704 0.000001 0.000001 0.002109 0.000479 1.000 2 length{all}[63] 0.000679 0.000000 0.000000 0.002002 0.000483 1.000 2 length{all}[64] 0.003641 0.000003 0.000846 0.006736 0.003415 1.000 2 length{all}[65] 0.000727 0.000001 0.000000 0.002193 0.000499 1.000 2 length{all}[66] 0.002839 0.000002 0.000425 0.005518 0.002632 1.000 2 length{all}[67] 0.001419 0.000001 0.000038 0.003279 0.001169 1.000 2 length{all}[68] 0.000735 0.000001 0.000000 0.002276 0.000498 1.000 2 length{all}[69] 0.002489 0.000002 0.000310 0.005012 0.002241 1.001 2 length{all}[70] 0.002033 0.000002 0.000171 0.004474 0.001782 1.003 2 length{all}[71] 0.000702 0.000000 0.000000 0.002100 0.000506 1.000 2 length{all}[72] 0.001395 0.000001 0.000018 0.003370 0.001153 1.001 2 length{all}[73] 0.000665 0.000000 0.000000 0.001965 0.000455 1.000 2 length{all}[74] 0.000735 0.000001 0.000000 0.002140 0.000506 1.000 2 length{all}[75] 0.000696 0.000001 0.000000 0.002166 0.000472 1.003 2 length{all}[76] 0.000715 0.000001 0.000001 0.002145 0.000497 1.002 2 length{all}[77] 0.000737 0.000000 0.000001 0.002184 0.000515 1.000 2 length{all}[78] 0.000690 0.000000 0.000000 0.002080 0.000473 1.000 2 length{all}[79] 0.000732 0.000001 0.000001 0.002239 0.000517 1.000 2 length{all}[80] 0.000705 0.000000 0.000000 0.002144 0.000483 1.005 2 length{all}[81] 0.000699 0.000001 0.000000 0.002040 0.000470 1.002 2 length{all}[82] 0.000696 0.000001 0.000000 0.002145 0.000476 1.001 2 length{all}[83] 0.000698 0.000000 0.000000 0.002080 0.000485 1.001 2 length{all}[84] 0.000728 0.000001 0.000000 0.002247 0.000509 1.000 2 length{all}[85] 0.000703 0.000000 0.000000 0.002144 0.000466 1.001 2 length{all}[86] 0.000705 0.000000 0.000000 0.002121 0.000496 1.000 2 length{all}[87] 0.001407 0.000001 0.000053 0.003383 0.001130 1.000 2 length{all}[88] 0.000667 0.000000 0.000000 0.001965 0.000445 1.000 2 length{all}[89] 0.003553 0.000003 0.000874 0.006790 0.003315 1.019 2 length{all}[90] 0.000714 0.000001 0.000000 0.002259 0.000469 1.001 2 length{all}[91] 0.004177 0.000003 0.000930 0.007587 0.003874 1.001 2 length{all}[92] 0.024417 0.000024 0.015118 0.033670 0.023944 1.000 2 length{all}[93] 0.005776 0.000006 0.001495 0.010573 0.005448 1.000 2 length{all}[94] 0.011166 0.000011 0.004768 0.017593 0.010817 1.004 2 length{all}[95] 0.009231 0.000009 0.003787 0.015241 0.008942 1.001 2 length{all}[96] 0.002086 0.000002 0.000223 0.004528 0.001807 1.000 2 length{all}[97] 0.002641 0.000002 0.000315 0.005457 0.002363 1.002 2 length{all}[98] 0.002140 0.000002 0.000264 0.004627 0.001886 1.001 2 length{all}[99] 0.002119 0.000002 0.000195 0.004618 0.001886 1.004 2 length{all}[100] 0.002057 0.000002 0.000228 0.004529 0.001832 1.000 2 length{all}[101] 0.001437 0.000001 0.000023 0.003495 0.001203 1.001 2 length{all}[102] 0.002066 0.000002 0.000232 0.004574 0.001810 1.001 2 length{all}[103] 0.002010 0.000001 0.000074 0.004273 0.001786 1.000 2 length{all}[104] 0.001481 0.000001 0.000025 0.003454 0.001251 1.000 2 length{all}[105] 0.001788 0.000001 0.000041 0.004235 0.001534 1.001 2 length{all}[106] 0.002133 0.000002 0.000163 0.004618 0.001877 1.000 2 length{all}[107] 0.001540 0.000001 0.000039 0.003760 0.001285 1.000 2 length{all}[108] 0.001390 0.000001 0.000067 0.003402 0.001144 1.002 2 length{all}[109] 0.001429 0.000001 0.000003 0.003549 0.001161 1.000 2 length{all}[110] 0.001480 0.000001 0.000006 0.003702 0.001227 1.000 2 length{all}[111] 0.001335 0.000001 0.000000 0.003286 0.001084 1.000 2 length{all}[112] 0.002507 0.000002 0.000002 0.005431 0.002258 1.005 2 length{all}[113] 0.001616 0.000001 0.000056 0.003731 0.001403 1.000 2 length{all}[114] 0.001568 0.000001 0.000009 0.003796 0.001331 1.000 2 length{all}[115] 0.001522 0.000001 0.000093 0.003794 0.001269 1.000 2 length{all}[116] 0.001392 0.000001 0.000000 0.003398 0.001208 1.004 2 length{all}[117] 0.001353 0.000001 0.000001 0.003206 0.001146 1.000 2 length{all}[118] 0.001468 0.000001 0.000040 0.003477 0.001249 0.999 2 length{all}[119] 0.001483 0.000001 0.000004 0.003936 0.001151 1.006 2 length{all}[120] 0.001370 0.000001 0.000000 0.003163 0.001165 0.999 2 length{all}[121] 0.000827 0.000001 0.000001 0.002460 0.000580 1.002 2 length{all}[122] 0.000680 0.000000 0.000000 0.002111 0.000469 1.000 2 length{all}[123] 0.000743 0.000001 0.000001 0.002143 0.000510 1.000 2 length{all}[124] 0.000685 0.000000 0.000000 0.002037 0.000470 0.999 2 length{all}[125] 0.000756 0.000001 0.000000 0.002343 0.000508 0.999 2 length{all}[126] 0.000734 0.000001 0.000001 0.002262 0.000497 1.005 2 length{all}[127] 0.000739 0.000001 0.000000 0.002311 0.000502 1.015 2 length{all}[128] 0.000705 0.000000 0.000001 0.002105 0.000496 1.000 2 length{all}[129] 0.000749 0.000001 0.000002 0.002333 0.000502 1.001 2 length{all}[130] 0.000735 0.000001 0.000000 0.002379 0.000462 1.000 2 length{all}[131] 0.000707 0.000000 0.000000 0.002168 0.000491 1.000 2 length{all}[132] 0.000743 0.000001 0.000001 0.002328 0.000502 1.000 2 length{all}[133] 0.000689 0.000001 0.000002 0.002055 0.000463 0.999 2 length{all}[134] 0.000693 0.000001 0.000000 0.002037 0.000465 0.999 2 length{all}[135] 0.000723 0.000000 0.000001 0.002135 0.000518 0.999 2 length{all}[136] 0.000637 0.000000 0.000000 0.001846 0.000450 1.002 2 length{all}[137] 0.000899 0.000001 0.000002 0.002714 0.000610 1.000 2 length{all}[138] 0.000755 0.000001 0.000000 0.002294 0.000543 1.002 2 length{all}[139] 0.000691 0.000001 0.000001 0.002145 0.000471 1.011 2 length{all}[140] 0.000818 0.000001 0.000001 0.002457 0.000563 0.999 2 length{all}[141] 0.000718 0.000001 0.000000 0.002149 0.000501 1.000 2 length{all}[142] 0.001319 0.000001 0.000008 0.003474 0.001056 0.999 2 length{all}[143] 0.001311 0.000001 0.000003 0.003105 0.001144 1.000 2 length{all}[144] 0.001135 0.000001 0.000007 0.002724 0.000963 0.999 2 length{all}[145] 0.001070 0.000001 0.000000 0.003302 0.000719 1.000 2 length{all}[146] 0.001352 0.000001 0.000009 0.003159 0.001111 1.001 2 length{all}[147] 0.001466 0.000001 0.000012 0.003350 0.001226 1.002 2 length{all}[148] 0.001083 0.000001 0.000000 0.003149 0.000768 1.007 2 length{all}[149] 0.000691 0.000000 0.000000 0.002014 0.000512 0.999 2 length{all}[150] 0.000702 0.000000 0.000001 0.002051 0.000537 1.003 2 length{all}[151] 0.001116 0.000001 0.000008 0.002972 0.000813 0.999 2 length{all}[152] 0.000732 0.000000 0.000002 0.001920 0.000557 0.999 2 length{all}[153] 0.000738 0.000000 0.000000 0.002134 0.000545 0.999 2 length{all}[154] 0.000696 0.000001 0.000000 0.002119 0.000499 0.998 2 length{all}[155] 0.000745 0.000001 0.000002 0.002163 0.000544 1.000 2 length{all}[156] 0.000714 0.000000 0.000000 0.002093 0.000502 0.998 2 length{all}[157] 0.001333 0.000001 0.000002 0.003211 0.001115 0.999 2 length{all}[158] 0.001047 0.000001 0.000002 0.002925 0.000809 1.001 2 length{all}[159] 0.000859 0.000001 0.000002 0.002718 0.000592 1.002 2 length{all}[160] 0.000695 0.000000 0.000001 0.002037 0.000485 1.001 2 length{all}[161] 0.000731 0.000001 0.000000 0.002220 0.000524 0.998 2 length{all}[162] 0.000744 0.000000 0.000000 0.002051 0.000549 1.001 2 length{all}[163] 0.000756 0.000001 0.000002 0.002215 0.000571 1.002 2 length{all}[164] 0.000768 0.000001 0.000000 0.002280 0.000519 1.000 2 length{all}[165] 0.000762 0.000001 0.000001 0.002300 0.000527 0.998 2 length{all}[166] 0.000687 0.000000 0.000001 0.002067 0.000458 0.998 2 length{all}[167] 0.000769 0.000001 0.000001 0.002175 0.000549 0.999 2 length{all}[168] 0.000789 0.000001 0.000004 0.002302 0.000560 1.002 2 length{all}[169] 0.000791 0.000001 0.000002 0.002342 0.000567 0.998 2 length{all}[170] 0.000736 0.000001 0.000002 0.002206 0.000492 0.999 2 length{all}[171] 0.000729 0.000001 0.000003 0.002131 0.000470 0.998 2 length{all}[172] 0.000766 0.000001 0.000003 0.002333 0.000540 1.005 2 length{all}[173] 0.000698 0.000001 0.000000 0.002077 0.000473 0.999 2 length{all}[174] 0.000772 0.000000 0.000003 0.002207 0.000553 1.008 2 length{all}[175] 0.000802 0.000001 0.000007 0.002468 0.000540 1.004 2 length{all}[176] 0.000744 0.000001 0.000001 0.002368 0.000484 1.002 2 length{all}[177] 0.000717 0.000000 0.000003 0.002074 0.000495 1.001 2 length{all}[178] 0.000634 0.000000 0.000001 0.001666 0.000488 0.998 2 length{all}[179] 0.000737 0.000001 0.000004 0.002329 0.000468 1.000 2 length{all}[180] 0.000762 0.000001 0.000001 0.002191 0.000552 1.009 2 length{all}[181] 0.000822 0.000001 0.000003 0.002256 0.000614 0.999 2 length{all}[182] 0.000695 0.000000 0.000001 0.002079 0.000511 0.998 2 length{all}[183] 0.000695 0.000000 0.000001 0.001844 0.000544 0.997 2 length{all}[184] 0.000822 0.000001 0.000009 0.002522 0.000516 0.997 2 length{all}[185] 0.000745 0.000000 0.000005 0.002222 0.000565 0.997 2 length{all}[186] 0.000694 0.000000 0.000000 0.001942 0.000588 1.005 2 length{all}[187] 0.000743 0.000001 0.000001 0.002171 0.000580 1.017 2 length{all}[188] 0.000696 0.000000 0.000001 0.001888 0.000518 0.999 2 length{all}[189] 0.000643 0.000000 0.000000 0.001884 0.000455 1.000 2 -------------------------------------------------------------------------------------------- + Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when deviation of parameter values within all runs is 0 or when a parameter value (a branch length, for instance) is not sampled in all runs. Summary statistics for partitions with frequency >= 0.10 in at least one run: Average standard deviation of split frequencies = 0.011144 Maximum standard deviation of split frequencies = 0.050407 Average PSRF for parameter values (excluding NA and >10.0) = 1.001 Maximum PSRF for parameter values = 1.019 Clade credibility values: /--------------------------------------------------------------------- C4 (1) | |--------------------------------------------------------------------- C131 (74) | | /---------------------------- C216 (2) | | | |---------------------------- C53 (4) | | | | /------- C113 (6) | | | | | |------- C232 (47) | | /--100-+ | | | |------- C115 (60) | | | | | | | \------- C128 (71) | | | | | |-------------- C221 (10) | | | | | |-------------- C110 (28) | | /--76--+ | | | |-------------- C116 (29) | | | | | | | |-------------- C238 (48) | | | | | |--93--+ |-------------- C253 (50) | | | | | | | \-------------- C121 (63) | | | | | \--------------------- C242 (11) | | | | /------- C57 (19) | | | | |---------99---------+------- C130 (73) | | | | | \------- C156 (89) | | | | /-------------- C67 (21) | | | | /-100-+------74-----+ /------- C99 (26) | | | \--75--+ | | | \------- C70 (69) | | | | | |---------------------------- C106 (27) | | | | | | /------- C225 (34) | | | | | | |---------79---------+------- C122 (62) | | | | | | | \------- C123 (65) | | | | | | /------- C227 (46) | | |---------100--------+ | | | \------- C124 (66) | | | | | |---------------------------- C246 (49) | | | | | |---------------------------- C263 (52) | | | | | | /------- C276 (53) | /--100-+ | | | | | |---------99---------+------- C274 (67) | | | | | | | | | \------- C29 (80) | | | | | | | | /------- C71 (59) | | | |---------100--------+ | | | | \------- C66 (64) | | | | | | | |---------------------------- C65 (68) | | | | | | | |---------------------------- C73 (72) | | | | | /--78--+ | \---------------------------- C72 (75) | | | | | | | | /------- C129 (30) | | | | /--99--+ | | | | | \------- C63 (61) | | | | /--92--+ + | | | | \-------------- C214 (44) | | | \-----100----+ | | | \--------------------- C208 (43) | | | | | | /------- C173 (8) | | | | | | \---------------100---------------+------- C189 (12) | /--92--+ | | | | \------- C178 (56) | | | | | | /-------------- C197 (9) | | | | | | | | /------- C91 (25) | | |---------------100---------------+--100-+ | | | | \------- C15 (33) | | | | | | | \-------------- C183 (39) | | | | | |------------------------------------------------ C204 (42) | | | | | \------------------------------------------------ C23 (70) | | | | /------- C7 (3) | | | | | |------- C148 (7) | | | | | |------- C258 (13) | | | | | |------- C61 (20) | | | | | |------- C80 (22) | | | | | |------- C140 (32) | | | | | |------- C155 (35) | | | | | |------- C6 (38) | | /--85--+ | | | |------- C257 (51) | | | | | | | |------- C60 (55) | | | | | | | |------- C77 (76) | | | | | | | |------- C137 (81) | | | | | | | |------- C143 (85) | |-------------------93-------------------+ | | | | |------- C142 (86) | | | | | | | |------- C144 (88) | | | | | | | \------- C145 (90) | /--54--+ | | | | |-------------- C281 (54) | | | | | | | \-------------- C136 (77) | | | | | | /------- C83 (5) | | | | | | | |------- C82 (23) | | | | | | | |------- C85 (24) | | | | | | | |------- C78 (45) | | |----------------------100----------------------+ | | | |------- C93 (78) | | | | | | | |------- C79 (83) | | | | | | | |------- C84 (84) | | | | | | | \------- C87 (87) | | | | | |------------------------------------------------------- C11 (14) | | | | | |------------------------------------------------------- C31 (15) \--99--+ | | |------------------------------------------------------- C36 (16) | | | |------------------------------------------------------- C42 (17) | | | |------------------------------------------------------- C50 (18) | | | | /------- C134 (31) | | | | |-----------------------99----------------------+------- C139 (58) | | | | | \------- C135 (79) | | | |------------------------------------------------------- C159 (36) | | | |------------------------------------------------------- C165 (37) | | | |------------------------------------------------------- C17 (41) | | | |------------------------------------------------------- C32 (57) | | | \------------------------------------------------------- C138 (82) | \-------------------------------------------------------------- C2 (40) Phylogram (based on average branch lengths): /- C4 (1) | |- C131 (74) | | / C216 (2) | | | |------ C53 (4) | | | | /-- C113 (6) | | | | | |- C232 (47) | | /--+ | | | |- C115 (60) | | | | | | | \- C128 (71) | | | | | |-- C221 (10) | | | | | |- C110 (28) | | /-+ | | | |- C116 (29) | | | | | | | |-- C238 (48) | | | | | |-+ |- C253 (50) | | | | | | | \- C121 (63) | | | | | \-- C242 (11) | | | |/------------- C57 (19) | || | |+- C130 (73) | || | |\----- C156 (89) | | | |/------ C67 (21) | || | /----------------++ /--- C99 (26) | | |\-+ | | | \---- C70 (69) | | | | | | C106 (27) | | | | | |/- C225 (34) | | || | | |+- C122 (62) | | || | | |\- C123 (65) | | | | | | /- C227 (46) | | |--+ | | | \---- C124 (66) | | | | | | C246 (49) | | | | | |------------ C263 (52) | | | | | |/- C276 (53) | /------------+ || | | | |+-- C274 (67) | | | || | | | |\- C29 (80) | | | | | | | | /--- C71 (59) | | | |----+ | | | | \----- C66 (64) | | | | | | | | C65 (68) | | | | | | | |- C73 (72) | | | | | /--+ | \ C72 (75) | | | | | | | | /- C129 (30) | | | | /-+ | | | | | \- C63 (61) | | | | /-+ + | | | | \--------- C214 (44) | | | \-----------------------------------+ | | | \---- C208 (43) | | | | | | /-- C173 (8) | | | | | | \-------+---- C189 (12) | /-+ | | | | \- C178 (56) | | | | | | / C197 (9) | | | | | | | | /- C91 (25) | | |--+-+ | | | | \- C15 (33) | | | | | | | \-- C183 (39) | | | | | |- C204 (42) | | | | | \-- C23 (70) | | | | /- C7 (3) | | | | | |- C148 (7) | | | | | |- C258 (13) | | | | | |-- C61 (20) | | | | | |-- C80 (22) | | | | | |-- C140 (32) | | | | | |- C155 (35) | | | | | |- C6 (38) | | /-+ | | | |- C257 (51) | | | | | | | |- C60 (55) | | | | | | | |- C77 (76) | | | | | | | |- C137 (81) | | | | | | | |- C143 (85) | |-+ | | | | |- C142 (86) | | | | | | | | C144 (88) | | | | | | | \- C145 (90) | /-+ | | | | |- C281 (54) | | | | | | | \- C136 (77) | | | | | | /- C83 (5) | | | | | | | |- C82 (23) | | | | | | | |- C85 (24) | | | | | | | |- C78 (45) | | |--+ | | | |- C93 (78) | | | | | | | |- C79 (83) | | | | | | | |- C84 (84) | | | | | | | \-- C87 (87) | | | | | |- C11 (14) | | | | | |- C31 (15) \-+ | | |- C36 (16) | | | |-- C42 (17) | | | |-- C50 (18) | | | | /-- C134 (31) | | | | |--+ C139 (58) | | | | | \- C135 (79) | | | |- C159 (36) | | | |- C165 (37) | | | |- C17 (41) | | | |- C32 (57) | | | \- C138 (82) | \--- C2 (40) |-------------| 0.010 expected changes per site Calculating tree probabilities... Credible sets of trees (3002 trees sampled): 50 % credible set contains 1501 trees 90 % credible set contains 2702 trees 95 % credible set contains 2852 trees 99 % credible set contains 2972 trees Exiting mrbayes block Reached end of file Tasks completed, exiting program because mode is noninteractive To return control to the command line after completion of file processing, set mode to interactive with 'mb -i <filename>' (i is for interactive) or use 'set mode=interactive' Running FUBAR... [2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C4,C131,((((((C216,C53,(((C113,C232,C115,C128),C221,C110,C116,C238,C253,C121),C242),(C57,C130,C156),(C67,(C99,C70)),C106,(C225,C122,C123),(C227,C124),C246,C263,(C276,C274,C29),(C71,C66),C65,C73,C72),(((C129,C63),C214),C208)),(C173,C189,C178)),(C197,(C91,C15),C183),C204,C23),((C7,C148,C258,C61,C80,C140,C155,C6,C257,C60,C77,C137,C143,C142,C144,C145),C281,C136),(C83,C82,C85,C78,C93,C79,C84,C87),C11,C31,C36,C42,C50,(C134,C139,C135),C159,C165,C17,C32,C138),C2))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **287** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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) = -2393.57, AIC-c = 5035.54 (124 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.237 ### 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 = 0.429 * 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| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 121 | 1 | 1.051 | 8.078 | Pos. posterior = 0.9430 | | 178 | 1 | 0.912 | 5.381 | Pos. posterior = 0.9246 | ---- ## FUBAR inferred 2 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.13 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=0.18 sec, SCORE=1000, Nseq=90, Len=287 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCVLC 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_189 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_12 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_125 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_18 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_178 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC 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******************:***:*****.** 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_189 VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_12 VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_125 VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_18 VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_178 VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_174 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1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_13 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_156 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINQYLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_116 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_13 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_113 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_148 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_173 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_197 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_121 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_142 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_158 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_11 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_11 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_16 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_12 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 YVPSVEYTYTDEVIYGMLLLIGMAFVTLRSINHDLFSFIMFVGRVISVVS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_11 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_10 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFF 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_15 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_11 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_19 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_106 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_110 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_116 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_129 FVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_134 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_140 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_15 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_155 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_159 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_165 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_183 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_17 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_104 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_108 FVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_114 FVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_127 YVPSVDYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_132 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_138 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_146 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_153 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_157 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_163 YVPSVEYTYTDEVIYGVLLLIGMVFVTLRSINHDLFSFIVFGGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_176 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_181 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_12 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_139 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_11 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_115 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 FVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_122 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_121 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_16 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_123 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_124 YVPSVDYTYTDEVIYGMLLLTGTVFVTLRSINHDLFSFIMFVGRVISVVS 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_15 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_13 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_128 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_130 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_131 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_12 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_136 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_135 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_19 YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_137 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_138 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_19 YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS 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10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_156 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_116 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_13 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_113 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_148 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 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10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_122 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_121 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_16 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_123 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_124 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_15 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_13 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_128 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_130 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_131 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_12 IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 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10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_143 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_142 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_17 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_144 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_145 IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY **:**:**:***************************************** 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_189 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_12 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_125 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_18 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_178 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_174 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_156 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_116 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_113 MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_148 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_173 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_197 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_121 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_142 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_158 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_11 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_11 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_16 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_12 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12689_2012_nsp3_VIPR_ALG4_701216729_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_11 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_10 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_15 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_11 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1908A_2010_nsp3_VIPR_ALG4_701216617_10857_11717_1_2010_03_China_Human_Betacoronavirus_19 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_106 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_110 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_116 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_129 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_134 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_140 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_15 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_155 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_159 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_165 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_183 MNANGLRPPKNSFEALILNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_17 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_104 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_108 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_114 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_127 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_132 MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_138 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_146 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_153 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_157 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_163 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_176 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_181 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10290_2010_nsp3_VIPR_ALG4_701216883_10857_11717_1_2010_07_China_Human_Betacoronavirus_12 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_139 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_11 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_115 MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_122 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_121 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_16 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_123 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_124 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_15 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_10 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_128 MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_13 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_130 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_131 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_12 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_17 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_136 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_135 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_19 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_137 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_138 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_19 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_14 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_143 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_142 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 1783A_10_nsp3_VIPR_ALG4_744516694_10857_11717_1_2010_01_China_Human_Betacoronavirus_17 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_144 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ 10108_2010_nsp3_VIPR_ALG4_701216841_10857_11717_1_2010_05_China_Human_Betacoronavirus_145 MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ ****************:***:****************
>10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGTACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >OC43_human_USA_9211_43_1992_nsp3_VIPR_ALG4_530802566_10838_11698_1_1992_11_30_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTTAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACACTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTCTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTATGGTACAAGGGTTCTAACTTAGAGGAAGAACTTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGGTAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGCTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTACTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC2481_2015_nsp3_VIPR_ALG4_ARU07564_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >TCG_10_nsp3_VIPR_ALG4_BBM61304_1_10818_11678_1_2008_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAATTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC0810_2019_nsp3_VIPR_ALG4_QEG03753_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >OC43_human_USA_901_41_1990_nsp3_VIPR_ALG4_530802215_10838_11698_1_1990_01_17_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTTAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACACTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTCTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGGTAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGCTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGCTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >US_OH1_2003_nsp3_VIPR_ALG4_145208957_10843_11703_1_NA_USA_Antelope_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAGTTCTTCTTATGTTGGCTTCGCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >HCoV_OC43_USA_TCNP_00204_2017_nsp3_VIPR_ALG4_ATN39869_1_10849_11709_1_2017_01_03_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >Mebus_nsp3_VIPR_ALG4_30061512_10858_11718_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGACCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTAATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCAGTATTTGTTCTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCCGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >R_AH187_nsp3_VIPR_ALG4_145208950_10842_11702_1_NA_USA_Cattle_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >BCOV_China_SWUN_A10_2018_nsp3_VIPR_ALG4_QOV05174_1_10858_11718_1_2018_11_01_China_Cattle_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGACTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTATAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTACGGCATGTTATTGCTTATAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGCACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTTCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC2730_2015_nsp3_VIPR_ALG4_ARK08657_1_10825_11685_1_2015_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >IWT_20_nsp3_VIPR_ALG4_BBM61094_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTTCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTATATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAGGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >MY_U413_12_nsp3_VIPR_ALG4_AQN78677_1_10857_11717_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >OC43_human_USA_873_19_1987_nsp3_VIPR_ALG4_530802412_10838_11698_1_1987_03_17_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTTAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACACTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTCTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGGTAGTGCTTTTGTGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGCTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGCTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >OC43_human_USA_9612_9_1996_nsp3_VIPR_ALG4_530802204_10838_11698_1_1996_12_04_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTCTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCTTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >SHG_5_nsp3_VIPR_ALG4_BBM61234_1_10830_11690_1_2016_06_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTATGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TCG_26_nsp3_VIPR_ALG4_BBM61504_1_10831_11691_1_2017_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAATTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TNP_12643_nsp3_VIPR_ALG4_AWW13572_1_10833_11693_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >19572_Belgium_2004_nsp3_VIPR_ALG4_62530899_10858_11718_1_NA_Belgium_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >5345_2007_nsp3_VIPR_ALG4_701216659_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >5445_2007_nsp3_VIPR_ALG4_701216785_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >5519_2007_nsp3_VIPR_ALG4_701216827_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >892A_2008_nsp3_VIPR_ALG4_701216876_10857_11717_1_2008_10_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTCTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >BJ232_nsp3_VIPR_ALG4_AQT26494_1_10791_11651_1_2014_China_Dog_Betacoronavirus_1 TCAAAGCGTATTAGATTGTTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTAATTTATGGCATGTTATTGCTTATAGGAATGGCTTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTAGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAAGAAGAAATTCTTCTTATGTTGGTTTCTCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTTACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAGGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >BJ_124_nsp3_VIPR_ALG4_AXX83300_1_10762_11622_1_2015_05_06_China_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTGTCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 TCAAAGCGTATTAGATTGGTTAAAGGCGTTGTTTGTTGGATTATGGCTTCTACATGTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAACAGACATTTAGAGGCTATGTTTATGCATGGCTATTATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC0841_2019_nsp3_VIPR_ALG4_QEG03773_1_10855_11715_1_2019_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTTTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >HCoV_OC43_Seattle_USA_SC2854_2015_nsp3_VIPR_ALG4_ARU07583_1_10823_11683_1_2015_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >HCoV_OC43_USA_ACRI_0052_2016_nsp3_VIPR_ALG4_AVQ05261_1_10858_11718_1_2016_03_07_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTCTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCTTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >HKU23_362F_nsp3_VIPR_ALG4_600997085_10862_11722_1_2013_05_15_United_Arab_Emirates_Camel_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAACAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTAATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_12_nsp3_VIPR_ALG4_BBM61034_1_10834_11694_1_2015_05_Japan_Unknown_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_17_nsp3_VIPR_ALG4_BBM61124_1_10827_11687_1_2016_11_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_22_nsp3_VIPR_ALG4_BBM61134_1_10826_11686_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >JL_2008_nsp3_VIPR_ALG4_AUF40271_1_10855_11715_1_2008_08_21_China_Swine_Betacoronavirus_1 TCAAAGCGCACTAGATTGTTTAAAAGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTAAAATGGACTATGTTTATGTATGTAACTACTAACATGTTTAGTATTACATTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACTTTGCTGTATAATAACTATTTGGTTGTATATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCACATTTTGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTAATAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTGTTATTTCTGTTGTCTCATTGTGGTACATGGGCTCCAACTTAGAAGAAGAAATTCTTCTTATGTTGGCCTCCCTTTTTGGTACATACACATGGACAACAGCTCTTTCCATGGCTGCTGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCCCAAATTAAAATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGATTGTTTTCCTTGATGAATAGTTTGTTTAGAATGCCCTTGGGTGTTTATAATTATAAAATATCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCCAAAAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTGCCAATCATTGAAGTATCTCAATTTCAA >MDS12_nsp3_VIPR_ALG4_QBP84737_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACCCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MY_U002_12_nsp3_VIPR_ALG4_AQN78653_1_10857_11717_1_2012_02_22_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAAGTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >2007_09_nsp3_VIPR_ALG4_ATP16764_1_10828_11688_1_2007_France_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTCTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCTTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MY_U945_12_nsp3_VIPR_ALG4_AQN78733_1_10857_11717_1_2012_08_01_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >N07_1647B_nsp3_VIPR_ALG4_ARB07417_1_10819_11679_1_2016_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >OC43_human_Mex_LRTI_238_2011_nsp3_VIPR_ALG4_1062046835_10857_11717_1_2011_02_09_Mexico_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >OC43_human_USA_911_66_1991_nsp3_VIPR_ALG4_530802478_10852_11712_1_1991_01_29_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTCTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCTTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATACTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGTTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >2145A_2010_nsp3_VIPR_ALG4_701216631_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >OC43_human_USA_991_5_1999_nsp3_VIPR_ALG4_530802390_10837_11697_1_1999_01_07_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp3_VIPR_ALG4_ARC95209_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 TCAAAGCGCACTAGATTGTTTAAAAGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTAAAATGGACTATGTTTATGTATGTAACTACTAACATGTTTAGTATTACATTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACTTTGCTGTATAATAACTATTTGGTTGTATATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCACATTTTGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTAGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTGTTATTTCTGTTGTCTCATTGTGGTACATGGGCTCCAACTTAGAAGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACATACACATGGACGACAGCTCTTTCCATGACTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCCCACATTAAAATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGATTGTTTTCCTTGATGAATAGTTTGTTTAGAATGCCCTTGGGTGTTTATAATTATAAAATATCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCCAAAAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTGCCAATCATTGAAGTATCTCAATTTCAA >PHEV_CoV_swine_USA_15TOSU1785_2015_nsp3_VIPR_ALG4_ARC95225_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 TCAAAGCGTACTAGATTGTTTAAAAGCACTGTTTCTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTAAAATGGACTATGTTTATGTATGTAACTACTAACATGTTTAGTATTACATTTTGTGCGCTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACTTTGCTGTATAATAACTATTTGGTTGTATATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCACATTTTGTCCCATCAGTTGAGTATACTTATACTGATGAAGTCATTTATGGCATGTTATTGCTAGTAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTTATTTCTGTTGTCTCATTGTGGTACATGGGCTCCAACTTAGAAGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACATACACATGGACAACAACTCTTTCCATGGCTGCTGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCCCAAATTAAAATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGATTGTTTTCCTTGATGAATAGTTTGTTTAGAATGCCCTTGGGTGTTTATAATTATAAAATATCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCCAAAAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTGCCAATCATTGAAGTATCTCAATTCCAA >TCG_11_nsp3_VIPR_ALG4_BBM61314_1_10828_11688_1_2008_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCATTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGATTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TCG_18_nsp3_VIPR_ALG4_BBM61404_1_10827_11687_1_2016_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTTCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAGGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TCG_22_nsp3_VIPR_ALG4_BBM61464_1_10814_11674_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGTTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TCG_3_nsp3_VIPR_ALG4_BBM61274_1_10821_11681_1_2006_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TCG_5_nsp3_VIPR_ALG4_BBM61264_1_10824_11684_1_2007_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >TNP_12636_nsp3_VIPR_ALG4_AWW13571_1_10851_11711_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >Tokachi09_nsp3_VIPR_ALG4_914047551_10970_11830_1_2009_Japan_Horse_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACTTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCGTGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAGTGTTTGGTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTATACCTGGACAACAGTTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGTGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTATATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAGTTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >US_OH3_2006_nsp3_VIPR_ALG4_145208993_10842_11702_1_NA_USA_Giraffe_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCGCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >YC_55_nsp3_VIPR_ALG4_AXX83348_1_10761_11621_1_2015_03_12_China_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >BJ_165_nsp3_VIPR_ALG4_AXX83312_1_10761_11621_1_2015_06_09_China_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >5352_2007_nsp3_VIPR_ALG4_701216673_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MDS6_nsp3_VIPR_ALG4_QBP84701_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >DcCoV_HKU23_camel_Nigeria_NV1385_2016_nsp3_VIPR_ALG4_QEY10662_1_10856_11716_1_2016_01_24_Nigeria_Camel_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACGTTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGCTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGATTGTGTACAAGCAGACGTTTAGGGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTCGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_21_nsp3_VIPR_ALG4_BBM61104_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTTCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAGGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >CC14_nsp3_VIPR_ALG4_AVV64331_1_10855_11715_1_2014_03_China_Swine_Betacoronavirus_1 TCAAAGCGCACTAGATTGTTTAAAAGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTAAAATGGACTATGTTTATGTATGTAACTACTAACATGTTTAGTATTACATTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACTTTGCTGTATAATAACTATTTGGTTGTATATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCACATTTTGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTAATAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTGTTATTTCTGTTGTCTCATTGTGGTACATGGGCTCCAACTTAGAAGAAGAAATTCTTCTTATGTTGGCCTCCCTTTTTGGTACATACACATGGACAACAGCTCTTTCCATGGCTGCTGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCCCAAATTAAAATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGATTGTTTTCCTTGATGAATAGTTTGTTTAGAATGCCCTTGGGTGTTTATAATTATAAAATATCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCCAAAAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTGCCAATCATTGAAGTATCTCAATTTCAA >IWT_4_nsp3_VIPR_ALG4_BBM60974_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAATTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_27_nsp3_VIPR_ALG4_BBM61184_1_10830_11690_1_2017_02_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp3_VIPR_ALG4_QEY10622_1_10850_11710_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACGTTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGCTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGATTGTGTACAAGCAGACATTTAGGGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGTATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTTTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAAGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCTTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_3_nsp3_VIPR_ALG4_BBM60964_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAATTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >IWT_5_nsp3_VIPR_ALG4_BBM60984_1_10834_11694_1_2011_11_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCATTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACATTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGATTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTACAGGAACGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >DB2_nsp3_VIPR_ALG4_331264482_10843_11703_1_1983_NA_Cattle_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp3_VIPR_ALG4_QEY10654_1_10848_11708_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGTATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAACAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTTTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTGTGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >3582_2006_nsp3_VIPR_ALG4_701216708_10857_11717_1_2006_09_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTATTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATCTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >IWT_9_nsp3_VIPR_ALG4_BBM60924_1_10834_11694_1_2012_04_Japan_Unknown_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTTCTGTATAATAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTCTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTACAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAGGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >E_AH65_nsp3_VIPR_ALG4_145208890_10858_11718_1_NA_USA_Cattle_Betacoronavirus_1 TCAAAGCGCACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTATATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >Kakegawa_nsp3_VIPR_ALG4_155369168_10858_11718_1_NA_Japan_Unknown_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTAATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGTCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >LY341_nsp3_VIPR_ALG4_721347196_10858_11718_1_2011_10_03_China_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGTACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >E_AH187_TC_nsp3_VIPR_ALG4_251748090_10842_11702_1_2000_01_01_USA_Cattle_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >GZYF_26_nsp3_VIPR_ALG4_AXX83330_1_10782_11642_1_2015_05_21_China_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >MDS16_nsp3_VIPR_ALG4_QBQ01836_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MDS14_nsp3_VIPR_ALG4_QBP84746_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTATAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGCCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >4_17_25_nsp3_VIPR_ALG4_AVZ61106_1_10858_11718_1_2017_04_USA_Cattle_Betacoronavirus_1 TCAAAGCGTACTAGATTGGTTAAAGGCATTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGTATAATTACAGCATTTGTGAAATGGACTATGTTTATGTATGTAACTACTAATATGCTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAACATAAGCATCTTTATTTGACTATGTATATAATTCCTGTGCTTTTTACACTGCTGTATAACAACTATTTGGTTGTGTACAAGCAGACATTTAGAGGCTATGTTTATGCATGGCTATCATATTATGTTCCATCAGTTGAGTATACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTATAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTCTCTTTTATAATGTTTGTTGGCCGTGTGATTTCTGTTGTCTCTTTGTGGTACATGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCGCTTTTTGGTACTTACACATGGACAACAGCTTTATCTATGGCTGCAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTTTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTGTATGCTATTTGTTTATAGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTTTTGGGTATTGGAGGTGTGCCAATTATTGAAGTATCTCAATTTCAA >MDS2_nsp3_VIPR_ALG4_QBP84710_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >MDS4_nsp3_VIPR_ALG4_QBP84719_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC0839_2019_nsp3_VIPR_ALG4_QEG03763_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >HCoV_OC43_Seattle_USA_SC2770_2015_nsp3_VIPR_ALG4_ARK08647_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MY_U1140_12_nsp3_VIPR_ALG4_AQN78757_1_10857_11717_1_2012_09_10_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >MY_U1057_12_nsp3_VIPR_ALG4_AQN78749_1_10857_11717_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >HCoV_OC43_Seattle_USA_SC3118_2015_nsp3_VIPR_ALG4_ARU07606_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGTACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTGGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACACCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCTCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCTCAATTTCAA >MY_U1758_13_nsp3_VIPR_ALG4_AQN78765_1_10857_11717_1_2013_01_02_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA >MY_U208_12_nsp3_VIPR_ALG4_AQN78661_1_10857_11717_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 TCAAAACGCACTAGATTGTTTAAAGGCACTGTTTGTTGGATTATGGCTTCTACATTTTTGTTTAGTTGCATAATTACAGCATTTGTGAAATGGACTATGTTCATGTATGTAACTACTAATATGTTTAGTATTACGTTTTGTGCACTTTGTGTTATAAGTTTAGCCATGTTGTTGGTTAAGCATAAGCATCTTTATTTGACTATGTATATAACTCCTGTGCTTTTTACATTGTTGTATAACAACTATTTGGTTGTGTACAAGCATACATTTAGAGGCTATGTTTATGCATGGCTATCGTATTATGTTCCATCAGTTGAGTACACTTATACTGATGAAGTTATTTATGGCATGTTATTGCTTGTAGGAATGGTCTTTGTTACATTACGTAGCATTAACCATGATTTGTTTTCTTTTATAATGTTTGTTGGTCGTTTGATTTCTGTTTTCTCTTTGTGGTACAAGGGTTCTAACTTAGAGGAAGAAATTCTTCTTATGTTGGCTTCCCTTTTTGGTACTTACACATGGACAACAGTTTTATCTATGGCTGTAGCAAAGGTTATTGCTAAGTGGGTTGCTGTGAATGTCTTGTATTTCACAGATATACCTCAAATTAAGATAGTGCTTTTGTGCTATTTGTTTATTGGTTATATTATTAGCTGTTATTGGGGTTTGTTTTCCTTGATGAACAGTTTGTTTAGAATGCCTTTGGGTGTTTATAATTATAAAATTTCAGTACAGGAATTAAGATATATGAATGCTAATGGATTGCGCCCTCCTAAGAATAGTTTTGAAGCCCTTATGCTTAATTTTAAGCTGTTGGGTATTGGAGGTGTTCCAATCATTGAAGTATCCCAATTTCAA
>10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCVLC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_9211_43_1992_nsp3_VIPR_ALG4_530802566_10838_11698_1_1992_11_30_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEELLLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKVVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC2481_2015_nsp3_VIPR_ALG4_ARU07564_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_10_nsp3_VIPR_ALG4_BBM61304_1_10818_11678_1_2008_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC0810_2019_nsp3_VIPR_ALG4_QEG03753_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_901_41_1990_nsp3_VIPR_ALG4_530802215_10838_11698_1_1990_01_17_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKVVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >US_OH1_2003_nsp3_VIPR_ALG4_145208957_10843_11703_1_NA_USA_Antelope_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEVLLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_USA_TCNP_00204_2017_nsp3_VIPR_ALG4_ATN39869_1_10849_11709_1_2017_01_03_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >Mebus_nsp3_VIPR_ALG4_30061512_10858_11718_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLTMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINQYLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >R_AH187_nsp3_VIPR_ALG4_145208950_10842_11702_1_NA_USA_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >BCOV_China_SWUN_A10_2018_nsp3_VIPR_ALG4_QOV05174_1_10858_11718_1_2018_11_01_China_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMTSTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC2730_2015_nsp3_VIPR_ALG4_ARK08657_1_10825_11685_1_2015_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_20_nsp3_VIPR_ALG4_BBM61094_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ >MY_U413_12_nsp3_VIPR_ALG4_AQN78677_1_10857_11717_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_873_19_1987_nsp3_VIPR_ALG4_530802412_10838_11698_1_1987_03_17_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKVVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_9612_9_1996_nsp3_VIPR_ALG4_530802204_10838_11698_1_1996_12_04_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >SHG_5_nsp3_VIPR_ALG4_BBM61234_1_10830_11690_1_2016_06_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS MWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_26_nsp3_VIPR_ALG4_BBM61504_1_10831_11691_1_2017_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TNP_12643_nsp3_VIPR_ALG4_AWW13572_1_10833_11693_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >19572_Belgium_2004_nsp3_VIPR_ALG4_62530899_10858_11718_1_NA_Belgium_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >5345_2007_nsp3_VIPR_ALG4_701216659_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >5445_2007_nsp3_VIPR_ALG4_701216785_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >5519_2007_nsp3_VIPR_ALG4_701216827_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >892A_2008_nsp3_VIPR_ALG4_701216876_10857_11717_1_2008_10_China_Human_Betacoronavirus_1 SKRTRFFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >BJ232_nsp3_VIPR_ALG4_AQT26494_1_10791_11651_1_2014_China_Dog_Betacoronavirus_1 SKRIRLFKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMAFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLVSLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >BJ_124_nsp3_VIPR_ALG4_AXX83300_1_10762_11622_1_2015_05_06_China_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 SKRIRLVKGVVCWIMASTCLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLLY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC0841_2019_nsp3_VIPR_ALG4_QEG03773_1_10855_11715_1_2019_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFF LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC2854_2015_nsp3_VIPR_ALG4_ARU07583_1_10823_11683_1_2015_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_USA_ACRI_0052_2016_nsp3_VIPR_ALG4_AVQ05261_1_10858_11718_1_2016_03_07_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HKU23_362F_nsp3_VIPR_ALG4_600997085_10862_11722_1_2013_05_15_United_Arab_Emirates_Camel_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_12_nsp3_VIPR_ALG4_BBM61034_1_10834_11694_1_2015_05_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_17_nsp3_VIPR_ALG4_BBM61124_1_10827_11687_1_2016_11_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_22_nsp3_VIPR_ALG4_BBM61134_1_10826_11686_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >JL_2008_nsp3_VIPR_ALG4_AUF40271_1_10855_11715_1_2008_08_21_China_Swine_Betacoronavirus_1 SKRTRLFKSTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSH FVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS12_nsp3_VIPR_ALG4_QBP84737_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U002_12_nsp3_VIPR_ALG4_AQN78653_1_10857_11717_1_2012_02_22_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVSTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >2007_09_nsp3_VIPR_ALG4_ATP16764_1_10828_11688_1_2007_France_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U945_12_nsp3_VIPR_ALG4_AQN78733_1_10857_11717_1_2012_08_01_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >N07_1647B_nsp3_VIPR_ALG4_ARB07417_1_10819_11679_1_2016_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_Mex_LRTI_238_2011_nsp3_VIPR_ALG4_1062046835_10857_11717_1_2011_02_09_Mexico_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_911_66_1991_nsp3_VIPR_ALG4_530802478_10852_11712_1_1991_01_29_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALILNFKLLGIGGVPIIEVSQFQ >10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLVSLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >2145A_2010_nsp3_VIPR_ALG4_701216631_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >OC43_human_USA_991_5_1999_nsp3_VIPR_ALG4_530802390_10837_11697_1_1999_01_07_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp3_VIPR_ALG4_ARC95209_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 SKRTRLFKSTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSH FVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMTAAKVIAKWVAVNVLYFTD IPHIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >PHEV_CoV_swine_USA_15TOSU1785_2015_nsp3_VIPR_ALG4_ARC95225_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 SKRTRLFKSTVSWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSH FVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTTLSMAAAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_11_nsp3_VIPR_ALG4_BBM61314_1_10828_11688_1_2008_12_Japan_Unknown_Betacoronavirus_1 SKRIRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVDYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_18_nsp3_VIPR_ALG4_BBM61404_1_10827_11687_1_2016_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ >TCG_22_nsp3_VIPR_ALG4_BBM61464_1_10814_11674_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVVVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_3_nsp3_VIPR_ALG4_BBM61274_1_10821_11681_1_2006_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TCG_5_nsp3_VIPR_ALG4_BBM61264_1_10824_11684_1_2007_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >TNP_12636_nsp3_VIPR_ALG4_AWW13571_1_10851_11711_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >Tokachi09_nsp3_VIPR_ALG4_914047551_10970_11830_1_2009_Japan_Horse_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGVLLLIGMVFVTLRSINHDLFSFIVFGGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTVLSMAAAKVIAKCVAVNVLYFTD IPQIKIVLICYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >US_OH3_2006_nsp3_VIPR_ALG4_145208993_10842_11702_1_NA_USA_Giraffe_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >YC_55_nsp3_VIPR_ALG4_AXX83348_1_10761_11621_1_2015_03_12_China_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >BJ_165_nsp3_VIPR_ALG4_AXX83312_1_10761_11621_1_2015_06_09_China_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >5352_2007_nsp3_VIPR_ALG4_701216673_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS6_nsp3_VIPR_ALG4_QBP84701_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >DcCoV_HKU23_camel_Nigeria_NV1385_2016_nsp3_VIPR_ALG4_QEY10662_1_10856_11716_1_2016_01_24_Nigeria_Camel_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLIVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_21_nsp3_VIPR_ALG4_BBM61104_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ >CC14_nsp3_VIPR_ALG4_AVV64331_1_10855_11715_1_2014_03_China_Swine_Betacoronavirus_1 SKRTRLFKSTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSH FVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_4_nsp3_VIPR_ALG4_BBM60974_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_27_nsp3_VIPR_ALG4_BBM61184_1_10830_11690_1_2017_02_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp3_VIPR_ALG4_QEY10622_1_10850_11710_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLIVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_3_nsp3_VIPR_ALG4_BBM60964_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_5_nsp3_VIPR_ALG4_BBM60984_1_10834_11694_1_2011_11_Japan_Unknown_Betacoronavirus_1 SKRIRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVDYTYTDEVIYGMLLLTGTVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >DB2_nsp3_VIPR_ALG4_331264482_10843_11703_1_1983_NA_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp3_VIPR_ALG4_QEY10654_1_10848_11708_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >3582_2006_nsp3_VIPR_ALG4_701216708_10857_11717_1_2006_09_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >IWT_9_nsp3_VIPR_ALG4_BBM60924_1_10834_11694_1_2012_04_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFRLLGIGGVPIIEVSQFQ >E_AH65_nsp3_VIPR_ALG4_145208890_10858_11718_1_NA_USA_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >Kakegawa_nsp3_VIPR_ALG4_155369168_10858_11718_1_NA_Japan_Unknown_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >LY341_nsp3_VIPR_ALG4_721347196_10858_11718_1_2011_10_03_China_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCVLC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >E_AH187_TC_nsp3_VIPR_ALG4_251748090_10842_11702_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >GZYF_26_nsp3_VIPR_ALG4_AXX83330_1_10782_11642_1_2015_05_21_China_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS16_nsp3_VIPR_ALG4_QBQ01836_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS14_nsp3_VIPR_ALG4_QBP84746_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >4_17_25_nsp3_VIPR_ALG4_AVZ61106_1_10858_11718_1_2017_04_USA_Cattle_Betacoronavirus_1 SKRTRLVKGIVCWIMASTFLFSCIITAFVKWTMFMYVTTNMLSITFCALC VISLAMLLVKHKHLYLTMYIIPVLFTLLYNNYLVVYKQTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLIGMVFVTLRSINHDLFSFIMFVGRVISVVS LWYMGSNLEEEILLMLASLFGTYTWTTALSMAAAKVIAKWVAVNVLYFTD IPQIKIVLVCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS2_nsp3_VIPR_ALG4_QBP84710_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MDS4_nsp3_VIPR_ALG4_QBP84719_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC0839_2019_nsp3_VIPR_ALG4_QEG03763_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC2770_2015_nsp3_VIPR_ALG4_ARK08647_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U1140_12_nsp3_VIPR_ALG4_AQN78757_1_10857_11717_1_2012_09_10_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U1057_12_nsp3_VIPR_ALG4_AQN78749_1_10857_11717_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >HCoV_OC43_Seattle_USA_SC3118_2015_nsp3_VIPR_ALG4_ARU07606_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U1758_13_nsp3_VIPR_ALG4_AQN78765_1_10857_11717_1_2013_01_02_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ >MY_U208_12_nsp3_VIPR_ALG4_AQN78661_1_10857_11717_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 SKRTRLFKGTVCWIMASTFLFSCIITAFVKWTMFMYVTTNMFSITFCALC VISLAMLLVKHKHLYLTMYITPVLFTLLYNNYLVVYKHTFRGYVYAWLSY YVPSVEYTYTDEVIYGMLLLVGMVFVTLRSINHDLFSFIMFVGRLISVFS LWYKGSNLEEEILLMLASLFGTYTWTTVLSMAVAKVIAKWVAVNVLYFTD IPQIKIVLLCYLFIGYIISCYWGLFSLMNSLFRMPLGVYNYKISVQELRY MNANGLRPPKNSFEALMLNFKLLGIGGVPIIEVSQFQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1 Found 90 sequences of length 861 Alignment looks like a valid DNA alignment. Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.5% Found 85 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 8 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 88 polymorphic sites **p-Value(s)** ---------- NSS: 8.73e-01 (1000 permutations) Max Chi^2: 4.36e-01 (1000 permutations) PHI (Permutation): 5.43e-01 (1000 permutations) PHI (Normal): 5.35e-01
#NEXUS [ID: 8339322321] begin taxa; dimensions ntax=90; taxlabels 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1 R_AH187_nsp3_VIPR_ALG4_145208950_10842_11702_1_NA_USA_Cattle_Betacoronavirus_1 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 BCOV_China_SWUN_A10_2018_nsp3_VIPR_ALG4_QOV05174_1_10858_11718_1_2018_11_01_China_Cattle_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC2730_2015_nsp3_VIPR_ALG4_ARK08657_1_10825_11685_1_2015_USA_Human_Betacoronavirus_1 IWT_20_nsp3_VIPR_ALG4_BBM61094_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 MY_U413_12_nsp3_VIPR_ALG4_AQN78677_1_10857_11717_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 OC43_human_USA_873_19_1987_nsp3_VIPR_ALG4_530802412_10838_11698_1_1987_03_17_USA_Human_Betacoronavirus_1 OC43_human_USA_9612_9_1996_nsp3_VIPR_ALG4_530802204_10838_11698_1_1996_12_04_USA_Human_Betacoronavirus_1 SHG_5_nsp3_VIPR_ALG4_BBM61234_1_10830_11690_1_2016_06_Japan_Unknown_Betacoronavirus_1 TCG_26_nsp3_VIPR_ALG4_BBM61504_1_10831_11691_1_2017_12_Japan_Unknown_Betacoronavirus_1 OC43_human_USA_9211_43_1992_nsp3_VIPR_ALG4_530802566_10838_11698_1_1992_11_30_USA_Human_Betacoronavirus_1 TNP_12643_nsp3_VIPR_ALG4_AWW13572_1_10833_11693_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 19572_Belgium_2004_nsp3_VIPR_ALG4_62530899_10858_11718_1_NA_Belgium_Unknown_Betacoronavirus_1 5345_2007_nsp3_VIPR_ALG4_701216659_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 5445_2007_nsp3_VIPR_ALG4_701216785_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 5519_2007_nsp3_VIPR_ALG4_701216827_10857_11717_1_2007_06_China_Human_Betacoronavirus_1 892A_2008_nsp3_VIPR_ALG4_701216876_10857_11717_1_2008_10_China_Human_Betacoronavirus_1 BJ232_nsp3_VIPR_ALG4_AQT26494_1_10791_11651_1_2014_China_Dog_Betacoronavirus_1 BJ_124_nsp3_VIPR_ALG4_AXX83300_1_10762_11622_1_2015_05_06_China_Unknown_Betacoronavirus_1 DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC0841_2019_nsp3_VIPR_ALG4_QEG03773_1_10855_11715_1_2019_USA_Human_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC2481_2015_nsp3_VIPR_ALG4_ARU07564_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC2854_2015_nsp3_VIPR_ALG4_ARU07583_1_10823_11683_1_2015_USA_Human_Betacoronavirus_1 HCoV_OC43_USA_ACRI_0052_2016_nsp3_VIPR_ALG4_AVQ05261_1_10858_11718_1_2016_03_07_USA_Human_Betacoronavirus_1 HKU23_362F_nsp3_VIPR_ALG4_600997085_10862_11722_1_2013_05_15_United_Arab_Emirates_Camel_Betacoronavirus_1 IWT_12_nsp3_VIPR_ALG4_BBM61034_1_10834_11694_1_2015_05_Japan_Unknown_Betacoronavirus_1 IWT_17_nsp3_VIPR_ALG4_BBM61124_1_10827_11687_1_2016_11_Japan_Unknown_Betacoronavirus_1 IWT_22_nsp3_VIPR_ALG4_BBM61134_1_10826_11686_1_2016_12_Japan_Unknown_Betacoronavirus_1 JL_2008_nsp3_VIPR_ALG4_AUF40271_1_10855_11715_1_2008_08_21_China_Swine_Betacoronavirus_1 MDS12_nsp3_VIPR_ALG4_QBP84737_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 MY_U002_12_nsp3_VIPR_ALG4_AQN78653_1_10857_11717_1_2012_02_22_Malaysia_Human_Betacoronavirus_1 2007_09_nsp3_VIPR_ALG4_ATP16764_1_10828_11688_1_2007_France_Human_Betacoronavirus_1 TCG_10_nsp3_VIPR_ALG4_BBM61304_1_10818_11678_1_2008_12_Japan_Unknown_Betacoronavirus_1 MY_U945_12_nsp3_VIPR_ALG4_AQN78733_1_10857_11717_1_2012_08_01_Malaysia_Human_Betacoronavirus_1 N07_1647B_nsp3_VIPR_ALG4_ARB07417_1_10819_11679_1_2016_USA_Human_Betacoronavirus_1 OC43_human_Mex_LRTI_238_2011_nsp3_VIPR_ALG4_1062046835_10857_11717_1_2011_02_09_Mexico_Human_Betacoronavirus_1 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1 OC43_human_USA_911_66_1991_nsp3_VIPR_ALG4_530802478_10852_11712_1_1991_01_29_USA_Human_Betacoronavirus_1 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 2145A_2010_nsp3_VIPR_ALG4_701216631_10857_11717_1_2010_07_China_Human_Betacoronavirus_1 OC43_human_USA_991_5_1999_nsp3_VIPR_ALG4_530802390_10837_11697_1_1999_01_07_USA_Human_Betacoronavirus_1 PHEV_CoV_swine_USA_15TOSU0331_2015_nsp3_VIPR_ALG4_ARC95209_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 PHEV_CoV_swine_USA_15TOSU1785_2015_nsp3_VIPR_ALG4_ARC95225_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC0810_2019_nsp3_VIPR_ALG4_QEG03753_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 TCG_11_nsp3_VIPR_ALG4_BBM61314_1_10828_11688_1_2008_12_Japan_Unknown_Betacoronavirus_1 TCG_18_nsp3_VIPR_ALG4_BBM61404_1_10827_11687_1_2016_Japan_Unknown_Betacoronavirus_1 TCG_22_nsp3_VIPR_ALG4_BBM61464_1_10814_11674_1_2016_12_Japan_Unknown_Betacoronavirus_1 TCG_3_nsp3_VIPR_ALG4_BBM61274_1_10821_11681_1_2006_12_Japan_Unknown_Betacoronavirus_1 TCG_5_nsp3_VIPR_ALG4_BBM61264_1_10824_11684_1_2007_12_Japan_Unknown_Betacoronavirus_1 TNP_12636_nsp3_VIPR_ALG4_AWW13571_1_10851_11711_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 Tokachi09_nsp3_VIPR_ALG4_914047551_10970_11830_1_2009_Japan_Horse_Betacoronavirus_1 US_OH3_2006_nsp3_VIPR_ALG4_145208993_10842_11702_1_NA_USA_Giraffe_Betacoronavirus_1 YC_55_nsp3_VIPR_ALG4_AXX83348_1_10761_11621_1_2015_03_12_China_Unknown_Betacoronavirus_1 BJ_165_nsp3_VIPR_ALG4_AXX83312_1_10761_11621_1_2015_06_09_China_Unknown_Betacoronavirus_1 OC43_human_USA_901_41_1990_nsp3_VIPR_ALG4_530802215_10838_11698_1_1990_01_17_USA_Human_Betacoronavirus_1 5352_2007_nsp3_VIPR_ALG4_701216673_10857_11717_1_2007_05_China_Human_Betacoronavirus_1 MDS6_nsp3_VIPR_ALG4_QBP84701_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 DcCoV_HKU23_camel_Nigeria_NV1385_2016_nsp3_VIPR_ALG4_QEY10662_1_10856_11716_1_2016_01_24_Nigeria_Camel_Betacoronavirus_1 IWT_21_nsp3_VIPR_ALG4_BBM61104_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1 CC14_nsp3_VIPR_ALG4_AVV64331_1_10855_11715_1_2014_03_China_Swine_Betacoronavirus_1 IWT_4_nsp3_VIPR_ALG4_BBM60974_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 IWT_27_nsp3_VIPR_ALG4_BBM61184_1_10830_11690_1_2017_02_Japan_Unknown_Betacoronavirus_1 DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp3_VIPR_ALG4_QEY10622_1_10850_11710_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 IWT_3_nsp3_VIPR_ALG4_BBM60964_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1 IWT_5_nsp3_VIPR_ALG4_BBM60984_1_10834_11694_1_2011_11_Japan_Unknown_Betacoronavirus_1 US_OH1_2003_nsp3_VIPR_ALG4_145208957_10843_11703_1_NA_USA_Antelope_Betacoronavirus_1 DB2_nsp3_VIPR_ALG4_331264482_10843_11703_1_1983_NA_Cattle_Betacoronavirus_1 DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp3_VIPR_ALG4_QEY10654_1_10848_11708_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1 3582_2006_nsp3_VIPR_ALG4_701216708_10857_11717_1_2006_09_China_Human_Betacoronavirus_1 IWT_9_nsp3_VIPR_ALG4_BBM60924_1_10834_11694_1_2012_04_Japan_Unknown_Betacoronavirus_1 E_AH65_nsp3_VIPR_ALG4_145208890_10858_11718_1_NA_USA_Cattle_Betacoronavirus_1 Kakegawa_nsp3_VIPR_ALG4_155369168_10858_11718_1_NA_Japan_Unknown_Betacoronavirus_1 LY341_nsp3_VIPR_ALG4_721347196_10858_11718_1_2011_10_03_China_Human_Betacoronavirus_1 E_AH187_TC_nsp3_VIPR_ALG4_251748090_10842_11702_1_2000_01_01_USA_Cattle_Betacoronavirus_1 GZYF_26_nsp3_VIPR_ALG4_AXX83330_1_10782_11642_1_2015_05_21_China_Unknown_Betacoronavirus_1 MDS16_nsp3_VIPR_ALG4_QBQ01836_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 HCoV_OC43_USA_TCNP_00204_2017_nsp3_VIPR_ALG4_ATN39869_1_10849_11709_1_2017_01_03_USA_Human_Betacoronavirus_1 MDS14_nsp3_VIPR_ALG4_QBP84746_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 4_17_25_nsp3_VIPR_ALG4_AVZ61106_1_10858_11718_1_2017_04_USA_Cattle_Betacoronavirus_1 MDS2_nsp3_VIPR_ALG4_QBP84710_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 MDS4_nsp3_VIPR_ALG4_QBP84719_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC0839_2019_nsp3_VIPR_ALG4_QEG03763_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC2770_2015_nsp3_VIPR_ALG4_ARK08647_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 MY_U1140_12_nsp3_VIPR_ALG4_AQN78757_1_10857_11717_1_2012_09_10_Malaysia_Human_Betacoronavirus_1 MY_U1057_12_nsp3_VIPR_ALG4_AQN78749_1_10857_11717_1_2012_08_27_Malaysia_Human_Betacoronavirus_1 HCoV_OC43_Seattle_USA_SC3118_2015_nsp3_VIPR_ALG4_ARU07606_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1 MY_U1758_13_nsp3_VIPR_ALG4_AQN78765_1_10857_11717_1_2013_01_02_Malaysia_Human_Betacoronavirus_1 Mebus_nsp3_VIPR_ALG4_30061512_10858_11718_1_NA_NA_Unknown_Betacoronavirus_1 MY_U208_12_nsp3_VIPR_ALG4_AQN78661_1_10857_11717_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 ; end; begin trees; translate 1 10574_2010_nsp3_VIPR_ALG4_701216890_10857_11717_1_2010_09_China_Human_Betacoronavirus_1, 2 R_AH187_nsp3_VIPR_ALG4_145208950_10842_11702_1_NA_USA_Cattle_Betacoronavirus_1, 3 12694_2012_nsp3_VIPR_ALG4_701216743_10857_11717_1_2012_05_China_Human_Betacoronavirus_1, 4 BCOV_China_SWUN_A10_2018_nsp3_VIPR_ALG4_QOV05174_1_10858_11718_1_2018_11_01_China_Cattle_Betacoronavirus_1, 5 HCoV_OC43_Seattle_USA_SC2730_2015_nsp3_VIPR_ALG4_ARK08657_1_10825_11685_1_2015_USA_Human_Betacoronavirus_1, 6 IWT_20_nsp3_VIPR_ALG4_BBM61094_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1, 7 MY_U413_12_nsp3_VIPR_ALG4_AQN78677_1_10857_11717_1_2012_05_02_Malaysia_Human_Betacoronavirus_1, 8 OC43_human_USA_873_19_1987_nsp3_VIPR_ALG4_530802412_10838_11698_1_1987_03_17_USA_Human_Betacoronavirus_1, 9 OC43_human_USA_9612_9_1996_nsp3_VIPR_ALG4_530802204_10838_11698_1_1996_12_04_USA_Human_Betacoronavirus_1, 10 SHG_5_nsp3_VIPR_ALG4_BBM61234_1_10830_11690_1_2016_06_Japan_Unknown_Betacoronavirus_1, 11 TCG_26_nsp3_VIPR_ALG4_BBM61504_1_10831_11691_1_2017_12_Japan_Unknown_Betacoronavirus_1, 12 OC43_human_USA_9211_43_1992_nsp3_VIPR_ALG4_530802566_10838_11698_1_1992_11_30_USA_Human_Betacoronavirus_1, 13 TNP_12643_nsp3_VIPR_ALG4_AWW13572_1_10833_11693_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1, 14 19572_Belgium_2004_nsp3_VIPR_ALG4_62530899_10858_11718_1_NA_Belgium_Unknown_Betacoronavirus_1, 15 5345_2007_nsp3_VIPR_ALG4_701216659_10857_11717_1_2007_05_China_Human_Betacoronavirus_1, 16 5445_2007_nsp3_VIPR_ALG4_701216785_10857_11717_1_2007_06_China_Human_Betacoronavirus_1, 17 5519_2007_nsp3_VIPR_ALG4_701216827_10857_11717_1_2007_06_China_Human_Betacoronavirus_1, 18 892A_2008_nsp3_VIPR_ALG4_701216876_10857_11717_1_2008_10_China_Human_Betacoronavirus_1, 19 BJ232_nsp3_VIPR_ALG4_AQT26494_1_10791_11651_1_2014_China_Dog_Betacoronavirus_1, 20 BJ_124_nsp3_VIPR_ALG4_AXX83300_1_10762_11622_1_2015_05_06_China_Unknown_Betacoronavirus_1, 21 DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1, 22 HCoV_OC43_Seattle_USA_SC0841_2019_nsp3_VIPR_ALG4_QEG03773_1_10855_11715_1_2019_USA_Human_Betacoronavirus_1, 23 HCoV_OC43_Seattle_USA_SC2481_2015_nsp3_VIPR_ALG4_ARU07564_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1, 24 HCoV_OC43_Seattle_USA_SC2854_2015_nsp3_VIPR_ALG4_ARU07583_1_10823_11683_1_2015_USA_Human_Betacoronavirus_1, 25 HCoV_OC43_USA_ACRI_0052_2016_nsp3_VIPR_ALG4_AVQ05261_1_10858_11718_1_2016_03_07_USA_Human_Betacoronavirus_1, 26 HKU23_362F_nsp3_VIPR_ALG4_600997085_10862_11722_1_2013_05_15_United_Arab_Emirates_Camel_Betacoronavirus_1, 27 IWT_12_nsp3_VIPR_ALG4_BBM61034_1_10834_11694_1_2015_05_Japan_Unknown_Betacoronavirus_1, 28 IWT_17_nsp3_VIPR_ALG4_BBM61124_1_10827_11687_1_2016_11_Japan_Unknown_Betacoronavirus_1, 29 IWT_22_nsp3_VIPR_ALG4_BBM61134_1_10826_11686_1_2016_12_Japan_Unknown_Betacoronavirus_1, 30 JL_2008_nsp3_VIPR_ALG4_AUF40271_1_10855_11715_1_2008_08_21_China_Swine_Betacoronavirus_1, 31 MDS12_nsp3_VIPR_ALG4_QBP84737_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 32 MY_U002_12_nsp3_VIPR_ALG4_AQN78653_1_10857_11717_1_2012_02_22_Malaysia_Human_Betacoronavirus_1, 33 2007_09_nsp3_VIPR_ALG4_ATP16764_1_10828_11688_1_2007_France_Human_Betacoronavirus_1, 34 TCG_10_nsp3_VIPR_ALG4_BBM61304_1_10818_11678_1_2008_12_Japan_Unknown_Betacoronavirus_1, 35 MY_U945_12_nsp3_VIPR_ALG4_AQN78733_1_10857_11717_1_2012_08_01_Malaysia_Human_Betacoronavirus_1, 36 N07_1647B_nsp3_VIPR_ALG4_ARB07417_1_10819_11679_1_2016_USA_Human_Betacoronavirus_1, 37 OC43_human_Mex_LRTI_238_2011_nsp3_VIPR_ALG4_1062046835_10857_11717_1_2011_02_09_Mexico_Human_Betacoronavirus_1, 38 12691_2012_nsp3_VIPR_ALG4_701216736_10857_11717_1_2012_05_China_Human_Betacoronavirus_1, 39 OC43_human_USA_911_66_1991_nsp3_VIPR_ALG4_530802478_10852_11712_1_1991_01_29_USA_Human_Betacoronavirus_1, 40 10285_2010_nsp3_VIPR_ALG4_701216680_10857_11717_1_2010_07_China_Human_Betacoronavirus_1, 41 2145A_2010_nsp3_VIPR_ALG4_701216631_10857_11717_1_2010_07_China_Human_Betacoronavirus_1, 42 OC43_human_USA_991_5_1999_nsp3_VIPR_ALG4_530802390_10837_11697_1_1999_01_07_USA_Human_Betacoronavirus_1, 43 PHEV_CoV_swine_USA_15TOSU0331_2015_nsp3_VIPR_ALG4_ARC95209_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1, 44 PHEV_CoV_swine_USA_15TOSU1785_2015_nsp3_VIPR_ALG4_ARC95225_1_10819_11679_1_2015_08_15_USA_Swine_Betacoronavirus_1, 45 HCoV_OC43_Seattle_USA_SC0810_2019_nsp3_VIPR_ALG4_QEG03753_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1, 46 TCG_11_nsp3_VIPR_ALG4_BBM61314_1_10828_11688_1_2008_12_Japan_Unknown_Betacoronavirus_1, 47 TCG_18_nsp3_VIPR_ALG4_BBM61404_1_10827_11687_1_2016_Japan_Unknown_Betacoronavirus_1, 48 TCG_22_nsp3_VIPR_ALG4_BBM61464_1_10814_11674_1_2016_12_Japan_Unknown_Betacoronavirus_1, 49 TCG_3_nsp3_VIPR_ALG4_BBM61274_1_10821_11681_1_2006_12_Japan_Unknown_Betacoronavirus_1, 50 TCG_5_nsp3_VIPR_ALG4_BBM61264_1_10824_11684_1_2007_12_Japan_Unknown_Betacoronavirus_1, 51 TNP_12636_nsp3_VIPR_ALG4_AWW13571_1_10851_11711_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1, 52 Tokachi09_nsp3_VIPR_ALG4_914047551_10970_11830_1_2009_Japan_Horse_Betacoronavirus_1, 53 US_OH3_2006_nsp3_VIPR_ALG4_145208993_10842_11702_1_NA_USA_Giraffe_Betacoronavirus_1, 54 YC_55_nsp3_VIPR_ALG4_AXX83348_1_10761_11621_1_2015_03_12_China_Unknown_Betacoronavirus_1, 55 BJ_165_nsp3_VIPR_ALG4_AXX83312_1_10761_11621_1_2015_06_09_China_Unknown_Betacoronavirus_1, 56 OC43_human_USA_901_41_1990_nsp3_VIPR_ALG4_530802215_10838_11698_1_1990_01_17_USA_Human_Betacoronavirus_1, 57 5352_2007_nsp3_VIPR_ALG4_701216673_10857_11717_1_2007_05_China_Human_Betacoronavirus_1, 58 MDS6_nsp3_VIPR_ALG4_QBP84701_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 59 DcCoV_HKU23_camel_Nigeria_NV1385_2016_nsp3_VIPR_ALG4_QEY10662_1_10856_11716_1_2016_01_24_Nigeria_Camel_Betacoronavirus_1, 60 IWT_21_nsp3_VIPR_ALG4_BBM61104_1_10834_11694_1_2016_12_Japan_Unknown_Betacoronavirus_1, 61 CC14_nsp3_VIPR_ALG4_AVV64331_1_10855_11715_1_2014_03_China_Swine_Betacoronavirus_1, 62 IWT_4_nsp3_VIPR_ALG4_BBM60974_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1, 63 IWT_27_nsp3_VIPR_ALG4_BBM61184_1_10830_11690_1_2017_02_Japan_Unknown_Betacoronavirus_1, 64 DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_nsp3_VIPR_ALG4_QEY10622_1_10850_11710_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1, 65 IWT_3_nsp3_VIPR_ALG4_BBM60964_1_10834_11694_1_2011_06_Japan_Unknown_Betacoronavirus_1, 66 IWT_5_nsp3_VIPR_ALG4_BBM60984_1_10834_11694_1_2011_11_Japan_Unknown_Betacoronavirus_1, 67 US_OH1_2003_nsp3_VIPR_ALG4_145208957_10843_11703_1_NA_USA_Antelope_Betacoronavirus_1, 68 DB2_nsp3_VIPR_ALG4_331264482_10843_11703_1_1983_NA_Cattle_Betacoronavirus_1, 69 DcCoV_HKU23_camel_Nigeria_NV1097_2015_nsp3_VIPR_ALG4_QEY10654_1_10848_11708_1_2015_11_12_Nigeria_Camel_Betacoronavirus_1, 70 3582_2006_nsp3_VIPR_ALG4_701216708_10857_11717_1_2006_09_China_Human_Betacoronavirus_1, 71 IWT_9_nsp3_VIPR_ALG4_BBM60924_1_10834_11694_1_2012_04_Japan_Unknown_Betacoronavirus_1, 72 E_AH65_nsp3_VIPR_ALG4_145208890_10858_11718_1_NA_USA_Cattle_Betacoronavirus_1, 73 Kakegawa_nsp3_VIPR_ALG4_155369168_10858_11718_1_NA_Japan_Unknown_Betacoronavirus_1, 74 LY341_nsp3_VIPR_ALG4_721347196_10858_11718_1_2011_10_03_China_Human_Betacoronavirus_1, 75 E_AH187_TC_nsp3_VIPR_ALG4_251748090_10842_11702_1_2000_01_01_USA_Cattle_Betacoronavirus_1, 76 GZYF_26_nsp3_VIPR_ALG4_AXX83330_1_10782_11642_1_2015_05_21_China_Unknown_Betacoronavirus_1, 77 MDS16_nsp3_VIPR_ALG4_QBQ01836_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 78 HCoV_OC43_USA_TCNP_00204_2017_nsp3_VIPR_ALG4_ATN39869_1_10849_11709_1_2017_01_03_USA_Human_Betacoronavirus_1, 79 MDS14_nsp3_VIPR_ALG4_QBP84746_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 80 4_17_25_nsp3_VIPR_ALG4_AVZ61106_1_10858_11718_1_2017_04_USA_Cattle_Betacoronavirus_1, 81 MDS2_nsp3_VIPR_ALG4_QBP84710_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 82 MDS4_nsp3_VIPR_ALG4_QBP84719_1_10837_11697_1_NA_NA_Unknown_Betacoronavirus_1, 83 HCoV_OC43_Seattle_USA_SC0839_2019_nsp3_VIPR_ALG4_QEG03763_1_10854_11714_1_2019_USA_Human_Betacoronavirus_1, 84 HCoV_OC43_Seattle_USA_SC2770_2015_nsp3_VIPR_ALG4_ARK08647_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1, 85 MY_U1140_12_nsp3_VIPR_ALG4_AQN78757_1_10857_11717_1_2012_09_10_Malaysia_Human_Betacoronavirus_1, 86 MY_U1057_12_nsp3_VIPR_ALG4_AQN78749_1_10857_11717_1_2012_08_27_Malaysia_Human_Betacoronavirus_1, 87 HCoV_OC43_Seattle_USA_SC3118_2015_nsp3_VIPR_ALG4_ARU07606_1_10819_11679_1_2015_USA_Human_Betacoronavirus_1, 88 MY_U1758_13_nsp3_VIPR_ALG4_AQN78765_1_10857_11717_1_2013_01_02_Malaysia_Human_Betacoronavirus_1, 89 Mebus_nsp3_VIPR_ALG4_30061512_10858_11718_1_NA_NA_Unknown_Betacoronavirus_1, 90 MY_U208_12_nsp3_VIPR_ALG4_AQN78661_1_10857_11717_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 ; [Note: This tree contains information on the topology, branch lengths (if present), and the probability of the partition indicated by the branch.] tree con_50_majrule = (1:5.042775e-04,74:5.062375e-04,((((((2:5.129828e-04,4:4.515503e-03,(((6:1.130207e-03,47:4.677996e-04,60:5.078441e-04,71:5.055049e-04)1.000:1.807208e-03,10:1.208230e-03,28:4.936308e-04,29:4.924945e-04,48:1.167790e-03,50:5.225861e-04,63:4.833174e-04)0.755:1.403067e-03,11:1.170594e-03)0.935:1.877011e-03,(19:8.403288e-03,73:4.545128e-04,89:3.315297e-03)0.986:1.250930e-03,(21:3.646931e-03,(26:1.731556e-03,69:2.240560e-03)0.750:1.331496e-03)0.737:1.268556e-03,27:5.134972e-04,(34:4.671958e-04,62:4.788879e-04,65:4.993859e-04)0.788:1.083628e-03,(46:4.858444e-04,66:2.631836e-03)1.000:2.362785e-03,49:5.402436e-04,52:8.128855e-03,(53:4.700751e-04,67:1.169402e-03,80:4.831015e-04)0.993:1.202947e-03,(59:1.793054e-03,64:3.415313e-03)1.000:3.874265e-03,68:4.979811e-04,72:1.153129e-03,75:4.717120e-04)1.000:1.081733e-02,(((30:4.428118e-04,61:4.891927e-04)0.988:1.785798e-03,44:6.170294e-03)0.915:1.160818e-03,43:2.737564e-03)1.000:2.394419e-02)1.000:8.941851e-03,(8:1.211040e-03,12:2.479637e-03,56:4.763562e-04)1.000:5.447840e-03)0.778:2.258256e-03,(9:5.189023e-04,(25:4.952547e-04,33:4.869237e-04)1.000:1.885853e-03,39:1.934503e-03)0.996:1.831556e-03,42:4.905962e-04,70:1.781972e-03)0.920:1.143881e-03,((3:5.039579e-04,7:4.691096e-04,13:5.610413e-04,20:1.236275e-03,22:1.198665e-03,32:1.277293e-03,35:5.092885e-04,38:5.179219e-04,51:4.618825e-04,55:4.988410e-04,76:4.967179e-04,81:4.702485e-04,85:4.664453e-04,86:4.964273e-04,88:4.448530e-04,90:4.692880e-04)0.845:1.227012e-03,54:4.984107e-04,77:5.152427e-04)0.932:1.284960e-03,(5:5.103909e-04,23:4.910393e-04,24:4.783491e-04,45:4.759324e-04,78:4.728409e-04,83:4.853792e-04,84:5.085612e-04,87:1.129911e-03)1.000:1.885968e-03,14:4.953189e-04,15:5.016255e-04,16:4.836223e-04,17:1.209481e-03,18:1.164904e-03,(31:1.214420e-03,58:4.813336e-04,79:5.166584e-04)0.993:1.809576e-03,36:4.850885e-04,37:4.886755e-04,41:5.004165e-04,57:4.722843e-04,82:4.760008e-04)0.537:1.208231e-03,40:1.500854e-03)0.986:1.533881e-03); [Note: This tree contains information only on the topology and branch lengths (median of the posterior probability density).] tree con_50_majrule = (1:5.042775e-04,74:5.062375e-04,((((((2:5.129828e-04,4:4.515503e-03,(((6:1.130207e-03,47:4.677996e-04,60:5.078441e-04,71:5.055049e-04):1.807208e-03,10:1.208230e-03,28:4.936308e-04,29:4.924945e-04,48:1.167790e-03,50:5.225861e-04,63:4.833174e-04):1.403067e-03,11:1.170594e-03):1.877011e-03,(19:8.403288e-03,73:4.545128e-04,89:3.315297e-03):1.250930e-03,(21:3.646931e-03,(26:1.731556e-03,69:2.240560e-03):1.331496e-03):1.268556e-03,27:5.134972e-04,(34:4.671958e-04,62:4.788879e-04,65:4.993859e-04):1.083628e-03,(46:4.858444e-04,66:2.631836e-03):2.362785e-03,49:5.402436e-04,52:8.128855e-03,(53:4.700751e-04,67:1.169402e-03,80:4.831015e-04):1.202947e-03,(59:1.793054e-03,64:3.415313e-03):3.874265e-03,68:4.979811e-04,72:1.153129e-03,75:4.717120e-04):1.081733e-02,(((30:4.428118e-04,61:4.891927e-04):1.785798e-03,44:6.170294e-03):1.160818e-03,43:2.737564e-03):2.394419e-02):8.941851e-03,(8:1.211040e-03,12:2.479637e-03,56:4.763562e-04):5.447840e-03):2.258256e-03,(9:5.189023e-04,(25:4.952547e-04,33:4.869237e-04):1.885853e-03,39:1.934503e-03):1.831556e-03,42:4.905962e-04,70:1.781972e-03):1.143881e-03,((3:5.039579e-04,7:4.691096e-04,13:5.610413e-04,20:1.236275e-03,22:1.198665e-03,32:1.277293e-03,35:5.092885e-04,38:5.179219e-04,51:4.618825e-04,55:4.988410e-04,76:4.967179e-04,81:4.702485e-04,85:4.664453e-04,86:4.964273e-04,88:4.448530e-04,90:4.692880e-04):1.227012e-03,54:4.984107e-04,77:5.152427e-04):1.284960e-03,(5:5.103909e-04,23:4.910393e-04,24:4.783491e-04,45:4.759324e-04,78:4.728409e-04,83:4.853792e-04,84:5.085612e-04,87:1.129911e-03):1.885968e-03,14:4.953189e-04,15:5.016255e-04,16:4.836223e-04,17:1.209481e-03,18:1.164904e-03,(31:1.214420e-03,58:4.813336e-04,79:5.166584e-04):1.809576e-03,36:4.850885e-04,37:4.886755e-04,41:5.004165e-04,57:4.722843e-04,82:4.760008e-04):1.208231e-03,40:1.500854e-03):1.533881e-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 -1688.12 -1715.08 2 -1689.58 -1718.83 -------------------------------------- TOTAL -1688.60 -1718.16 -------------------------------------- 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} 0.120030 0.000253 0.088427 0.149303 0.119003 1024.47 1189.67 1.000 r(A<->C){all} 0.018073 0.000301 0.000003 0.052427 0.013106 487.71 534.06 1.000 r(A<->G){all} 0.204244 0.002232 0.117116 0.297482 0.200120 534.16 578.09 1.000 r(A<->T){all} 0.038181 0.000219 0.012680 0.067539 0.036179 827.33 902.96 1.003 r(C<->G){all} 0.023248 0.000544 0.000005 0.069301 0.016036 582.42 638.27 1.003 r(C<->T){all} 0.628434 0.003234 0.517576 0.734594 0.630819 589.07 625.89 1.001 r(G<->T){all} 0.087819 0.000650 0.038621 0.135669 0.085568 772.95 830.22 1.000 pi(A){all} 0.251390 0.000203 0.222291 0.277740 0.251077 1152.82 1166.98 1.000 pi(C){all} 0.124868 0.000115 0.104527 0.145533 0.124464 1033.74 1089.21 1.000 pi(G){all} 0.197673 0.000169 0.174426 0.224119 0.197007 1118.39 1205.53 1.000 pi(T){all} 0.426070 0.000256 0.396225 0.458055 0.426005 1025.29 1138.20 1.001 alpha{1,2} 0.178722 0.062543 0.000047 0.530809 0.110128 1077.44 1123.65 1.000 alpha{3} 2.055394 1.394859 0.315402 4.359189 1.829020 1174.67 1177.48 1.000 pinvar{all} 0.230526 0.018712 0.000432 0.470827 0.220687 1031.33 1112.79 1.000 ------------------------------------------------------------------------------------------------------ * Convergence diagnostic (ESS = Estimated Sample Size); min and avg values correspond to minimal and average ESS among runs. ESS value below 100 may indicate that the parameter is undersampled. + Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman and Rubin, 1992) should approach 1.0 as runs converge.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C4,C131,((((((C216,C53,(((C113,C232,C115,C128),C221,C110,C116,C238,C253,C121),C242),(C57,C130,C156),(C67,(C99,C70)),C106,(C225,C122,C123),(C227,C124),C246,C263,(C276,C274,C29),(C71,C66),C65,C73,C72),(((C129,C63),C214),C208)),(C173,C189,C178)),(C197,(C91,C15),C183),C204,C23),((C7,C148,C258,C61,C80,C140,C155,C6,C257,C60,C77,C137,C143,C142,C144,C145),C281,C136),(C83,C82,C85,C78,C93,C79,C84,C87),C11,C31,C36,C42,C50,(C134,C139,C135),C159,C165,C17,C32,C138),C2))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **287** codons, and **1** partitions from `/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/fubar/results/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp3_VIPR_ALG4_QEY10630_1_10848_11708_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.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) = -2393.57, AIC-c = 5035.54 (124 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.237 ### 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 = 0.429 * 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| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 121 | 1 | 1.051 | 8.078 | Pos. posterior = 0.9430 | | 178 | 1 | 0.912 | 5.381 | Pos. posterior = 0.9246 | ---- ## FUBAR inferred 2 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.13 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