RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM RAxML-NG was called at 19-Jun-2021 10:34:19 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/2_msa/Q9NZK5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5 --seed 2 --threads 5 --tree rand{20} pars{20} Analysis options: run mode: ML tree search start tree(s): random (20) random seed: 2 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON fast spr radius: AUTO spr subtree cutoff: 1.000000 branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (5 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/2_msa/Q9NZK5_trimmed_msa.fasta [00:00:00] Loaded alignment with 639 taxa and 320 sites WARNING: Sequences tr_B4R160_B4R160_DROSI_7240 and tr_B4HFP3_B4HFP3_DROSE_7238 are exactly identical! WARNING: Sequences tr_B2W4D1_B2W4D1_PYRTR_426418 and tr_A0A2W1DUA1_A0A2W1DUA1_9PLEO_45151 are exactly identical! WARNING: Sequences tr_B2W7Y0_B2W7Y0_PYRTR_426418 and tr_A0A2W1DB69_A0A2W1DB69_9PLEO_45151 are exactly identical! WARNING: Sequences tr_C6H6J7_C6H6J7_AJECH_544712 and tr_F0UUZ7_F0UUZ7_AJEC8_544711 are exactly identical! WARNING: Sequences tr_A0A158NNM6_A0A158NNM6_ATTCE_12957 and tr_A0A195B2J7_A0A195B2J7_9HYME_520822 are exactly identical! WARNING: Sequences tr_G7XHT4_G7XHT4_ASPKW_1033177 and tr_A0A146FX00_A0A146FX00_9EURO_1069201 are exactly identical! WARNING: Sequences tr_V2WUT5_V2WUT5_MONRO_1381753 and tr_A0A0W0GAJ9_A0A0W0GAJ9_9AGAR_221103 are exactly identical! WARNING: Sequences tr_A0A094DUH7_A0A094DUH7_9PEZI_1420912 and tr_A0A1B8GXU3_A0A1B8GXU3_9PEZI_342668 are exactly identical! WARNING: Sequences tr_A0A166JTT7_A0A166JTT7_9HOMO_436010 and tr_A0A167TSE9_A0A167TSE9_9HOMO_436010 are exactly identical! WARNING: Sequences tr_A0A164P571_A0A164P571_9HOMO_1314777 and tr_A0A166EL14_A0A166EL14_9HOMO_1314776 are exactly identical! WARNING: Sequences tr_A0A0M4EGX7_A0A0M4EGX7_DROBS_30019 and tr_A0A0M4F150_A0A0M4F150_DROBS_30019 are exactly identical! WARNING: Duplicate sequences found: 11 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.reduced.phy Alignment comprises 1 partitions and 320 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 320 / 320 Gaps: 6.50 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.rba Parallelization scheme autoconfig: 5 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 639 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 320 / 25600 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -401221.444323] Initial branch length optimization [00:00:05 -339573.822762] Model parameter optimization (eps = 10.000000) [00:01:07 -338595.581409] AUTODETECT spr round 1 (radius: 5) [00:03:08 -251035.374536] AUTODETECT spr round 2 (radius: 10) [00:05:26 -195227.141598] AUTODETECT spr round 3 (radius: 15) [00:08:08 -182901.184049] AUTODETECT spr round 4 (radius: 20) [00:11:21 -174017.544352] AUTODETECT spr round 5 (radius: 25) [00:15:08 -170635.890389] SPR radius for FAST iterations: 25 (autodetect) [00:15:09 -170635.890389] Model parameter optimization (eps = 3.000000) [00:15:31 -170397.111266] FAST spr round 1 (radius: 25) [00:18:29 -149059.709555] FAST spr round 2 (radius: 25) [00:20:42 -147875.016694] FAST spr round 3 (radius: 25) [00:22:40 -147703.461597] FAST spr round 4 (radius: 25) [00:24:16 -147672.248621] FAST spr round 5 (radius: 25) [00:25:44 -147670.657345] FAST spr round 6 (radius: 25) [00:27:10 -147669.334325] FAST spr round 7 (radius: 25) [00:28:35 -147667.273422] FAST spr round 8 (radius: 25) [00:30:04 -147662.712052] FAST spr round 9 (radius: 25) [00:31:29 -147661.383804] FAST spr round 10 (radius: 25) [00:32:54 -147660.420930] FAST spr round 11 (radius: 25) [00:34:19 -147659.998261] FAST spr round 12 (radius: 25) [00:35:43 -147659.628739] FAST spr round 13 (radius: 25) [00:37:07 -147659.532564] Model parameter optimization (eps = 1.000000) [00:37:23 -147655.087739] SLOW spr round 1 (radius: 5) [00:39:43 -147615.890036] SLOW spr round 2 (radius: 5) [00:41:54 -147611.105760] SLOW spr round 3 (radius: 5) [00:44:03 -147609.182682] SLOW spr round 4 (radius: 5) [00:46:07 -147609.181858] SLOW spr round 5 (radius: 10) [00:48:22 -147608.382236] SLOW spr round 6 (radius: 5) [00:51:18 -147608.230316] SLOW spr round 7 (radius: 5) [00:53:46 -147608.227534] SLOW spr round 8 (radius: 10) [00:56:09 -147608.226759] SLOW spr round 9 (radius: 15) [00:58:36] [worker #3] ML tree search #4, logLikelihood: -147579.011459 [01:00:24 -147608.226751] SLOW spr round 10 (radius: 20) [01:03:26] [worker #2] ML tree search #3, logLikelihood: -147580.636794 [01:06:17 -147608.226751] SLOW spr round 11 (radius: 25) [01:06:30] [worker #4] ML tree search #5, logLikelihood: -147600.865453 [01:06:54] [worker #1] ML tree search #2, logLikelihood: -147591.458284 [01:13:30 -147608.226751] Model parameter optimization (eps = 0.100000) [01:13:46] [worker #0] ML tree search #1, logLikelihood: -147607.470393 [01:13:46 -402319.915347] Initial branch length optimization [01:13:54 -340992.295844] Model parameter optimization (eps = 10.000000) [01:15:01 -339942.003787] AUTODETECT spr round 1 (radius: 5) [01:17:04 -252214.993312] AUTODETECT spr round 2 (radius: 10) [01:19:26 -199653.083057] AUTODETECT spr round 3 (radius: 15) [01:22:10 -182419.561869] AUTODETECT spr round 4 (radius: 20) [01:25:22 -175656.669816] AUTODETECT spr round 5 (radius: 25) [01:29:57 -168276.620017] SPR radius for FAST iterations: 25 (autodetect) [01:29:57 -168276.620017] Model parameter optimization (eps = 3.000000) [01:30:24 -168050.345585] FAST spr round 1 (radius: 25) [01:33:16 -148328.574516] FAST spr round 2 (radius: 25) [01:35:19 -147673.605809] FAST spr round 3 (radius: 25) [01:37:02 -147640.396478] FAST spr round 4 (radius: 25) [01:38:33 -147636.477000] FAST spr round 5 (radius: 25) [01:40:04 -147630.765223] FAST spr round 6 (radius: 25) [01:41:30 -147626.287680] FAST spr round 7 (radius: 25) [01:42:57 -147624.436958] FAST spr round 8 (radius: 25) [01:44:23 -147620.771249] FAST spr round 9 (radius: 25) [01:45:48 -147620.564306] FAST spr round 10 (radius: 25) [01:47:14 -147620.447952] FAST spr round 11 (radius: 25) [01:48:39 -147619.929126] FAST spr round 12 (radius: 25) [01:50:04 -147619.827355] FAST spr round 13 (radius: 25) [01:51:29 -147619.827353] Model parameter optimization (eps = 1.000000) [01:51:47 -147617.093319] SLOW spr round 1 (radius: 5) [01:54:09 -147601.132743] SLOW spr round 2 (radius: 5) [01:56:17 -147599.034944] SLOW spr round 3 (radius: 5) [01:57:37] [worker #3] ML tree search #9, logLikelihood: -147585.212142 [01:58:22 -147599.034853] SLOW spr round 4 (radius: 10) [02:00:38 -147599.034846] SLOW spr round 5 (radius: 15) [02:04:48 -147599.034844] SLOW spr round 6 (radius: 20) [02:09:55 -147599.034843] SLOW spr round 7 (radius: 25) [02:13:13] [worker #2] ML tree search #8, logLikelihood: -147596.978616 [02:15:55 -147599.034842] Model parameter optimization (eps = 0.100000) [02:16:06] [worker #0] ML tree search #6, logLikelihood: -147598.718586 [02:16:06 -400982.969906] Initial branch length optimization [02:16:12 -340249.725818] Model parameter optimization (eps = 10.000000) [02:16:56 -339110.681538] AUTODETECT spr round 1 (radius: 5) [02:18:39] [worker #1] ML tree search #7, logLikelihood: -147592.636147 [02:18:57 -256024.604609] AUTODETECT spr round 2 (radius: 10) [02:21:20 -196308.873184] AUTODETECT spr round 3 (radius: 15) [02:24:06 -175210.055248] AUTODETECT spr round 4 (radius: 20) [02:27:16 -164809.302591] AUTODETECT spr round 5 (radius: 25) [02:27:51] [worker #4] ML tree search #10, logLikelihood: -147580.160563 [02:30:29 -163581.327322] SPR radius for FAST iterations: 25 (autodetect) [02:30:29 -163581.327322] Model parameter optimization (eps = 3.000000) [02:30:52 -163270.019957] FAST spr round 1 (radius: 25) [02:33:37 -148206.343605] FAST spr round 2 (radius: 25) [02:35:43 -147693.551482] FAST spr round 3 (radius: 25) [02:37:35 -147651.068168] FAST spr round 4 (radius: 25) [02:39:15 -147630.785431] FAST spr round 5 (radius: 25) [02:40:43 -147627.922136] FAST spr round 6 (radius: 25) [02:42:09 -147626.550108] FAST spr round 7 (radius: 25) [02:43:34 -147625.249198] FAST spr round 8 (radius: 25) [02:44:58 -147624.367013] FAST spr round 9 (radius: 25) [02:46:22 -147624.300466] Model parameter optimization (eps = 1.000000) [02:46:32 -147623.489140] SLOW spr round 1 (radius: 5) [02:48:57 -147590.963928] SLOW spr round 2 (radius: 5) [02:51:06 -147589.519687] SLOW spr round 3 (radius: 5) [02:53:11 -147589.519468] SLOW spr round 4 (radius: 10) [02:55:26 -147589.519461] SLOW spr round 5 (radius: 15) [02:59:33 -147589.519459] SLOW spr round 6 (radius: 20) [03:04:45 -147589.519458] SLOW spr round 7 (radius: 25) [03:10:48 -147589.519457] Model parameter optimization (eps = 0.100000) [03:10:59] [worker #0] ML tree search #11, logLikelihood: -147589.313015 [03:10:59 -401585.418692] Initial branch length optimization [03:11:05 -340225.091881] Model parameter optimization (eps = 10.000000) [03:12:05 -339171.977902] AUTODETECT spr round 1 (radius: 5) [03:14:08 -252686.385736] AUTODETECT spr round 2 (radius: 10) [03:16:23 -199919.022311] AUTODETECT spr round 3 (radius: 15) [03:16:55] [worker #3] ML tree search #14, logLikelihood: -147583.850083 [03:19:02 -182321.218765] AUTODETECT spr round 4 (radius: 20) [03:20:08] [worker #1] ML tree search #12, logLikelihood: -147598.275262 [03:22:17 -168649.844901] AUTODETECT spr round 5 (radius: 25) [03:24:50] [worker #2] ML tree search #13, logLikelihood: -147608.367825 [03:25:53 -166260.079491] SPR radius for FAST iterations: 25 (autodetect) [03:25:53 -166260.079491] Model parameter optimization (eps = 3.000000) [03:26:19 -165920.546187] FAST spr round 1 (radius: 25) [03:29:07 -148496.707786] FAST spr round 2 (radius: 25) [03:31:15 -147682.580308] FAST spr round 3 (radius: 25) [03:33:03 -147648.428277] FAST spr round 4 (radius: 25) [03:34:35 -147643.827364] FAST spr round 5 (radius: 25) [03:36:09 -147637.676219] FAST spr round 6 (radius: 25) [03:37:36 -147634.746519] FAST spr round 7 (radius: 25) [03:38:22] [worker #4] ML tree search #15, logLikelihood: -147578.114961 [03:39:04 -147631.253661] FAST spr round 8 (radius: 25) [03:40:30 -147628.785870] FAST spr round 9 (radius: 25) [03:41:57 -147627.203710] FAST spr round 10 (radius: 25) [03:43:23 -147625.752503] FAST spr round 11 (radius: 25) [03:44:48 -147624.655989] FAST spr round 12 (radius: 25) [03:46:14 -147623.635037] FAST spr round 13 (radius: 25) [03:47:39 -147622.387305] FAST spr round 14 (radius: 25) [03:49:04 -147621.477466] FAST spr round 15 (radius: 25) [03:50:29 -147620.915172] FAST spr round 16 (radius: 25) [03:51:54 -147620.521983] FAST spr round 17 (radius: 25) [03:53:19 -147620.241421] FAST spr round 18 (radius: 25) [03:54:44 -147620.208515] Model parameter optimization (eps = 1.000000) [03:55:02 -147618.920956] SLOW spr round 1 (radius: 5) [03:57:28 -147583.050910] SLOW spr round 2 (radius: 5) [03:59:40 -147578.959737] SLOW spr round 3 (radius: 5) [04:01:47 -147578.903688] SLOW spr round 4 (radius: 10) [04:04:02 -147577.546429] SLOW spr round 5 (radius: 5) [04:07:00 -147577.545985] SLOW spr round 6 (radius: 10) [04:09:37 -147577.545974] SLOW spr round 7 (radius: 15) [04:13:44 -147577.545973] SLOW spr round 8 (radius: 20) [04:15:10] [worker #3] ML tree search #19, logLikelihood: -147590.261967 [04:19:27 -147577.545971] SLOW spr round 9 (radius: 25) [04:22:08] [worker #1] ML tree search #17, logLikelihood: -147580.508163 [04:25:55 -147577.545970] Model parameter optimization (eps = 0.100000) [04:26:07] [worker #0] ML tree search #16, logLikelihood: -147577.367303 [04:26:12] [worker #2] ML tree search #18, logLikelihood: -147586.648647 [04:52:30] [worker #4] ML tree search #20, logLikelihood: -147605.440440 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.166980,0.411069) (0.281991,0.449997) (0.309857,0.906047) (0.241172,2.171564) Base frequencies (model): M0: 0.147383 0.017579 0.058208 0.017707 0.026331 0.041582 0.017494 0.027859 0.011849 0.076971 0.147823 0.019535 0.037132 0.029940 0.008059 0.088179 0.089653 0.006477 0.032308 0.097931 M1: 0.063139 0.066357 0.011586 0.066571 0.010800 0.009276 0.053984 0.146986 0.034214 0.088822 0.098196 0.032390 0.021263 0.072697 0.016761 0.020711 0.020797 0.025463 0.045615 0.094372 M2: 0.062457 0.066826 0.049332 0.065270 0.006513 0.041231 0.058965 0.080852 0.028024 0.037024 0.075925 0.064131 0.019620 0.028710 0.104579 0.056388 0.062027 0.008241 0.033124 0.050760 M3: 0.106471 0.074171 0.044513 0.096390 0.002148 0.066733 0.158908 0.037625 0.020691 0.014608 0.028797 0.105352 0.007864 0.007477 0.083595 0.055726 0.047711 0.003975 0.010088 0.027159 Substitution rates (model): M 0: 0.295719 0.067388 0.253712 1.029289 0.107964 0.514644 10.868848 0.380498 0.084223 0.086976 0.188789 0.286389 0.155567 1.671061 2.132922 0.529591 0.115551 0.102453 0.916683 0.448317 0.457483 0.576016 1.741924 0.736017 0.704334 5.658311 0.123387 0.221777 93.433377 0.382175 0.235965 6.535048 0.525521 0.303537 0.641259 0.289466 0.102065 2.358429 0.251987 0.216561 0.503084 0.435271 4.873453 0.090748 0.033310 0.746537 0.128905 0.127321 0.904011 0.939733 0.435450 0.046646 0.262076 0.043986 0.189008 0.599450 109.901504 1.070052 5.229858 0.052764 0.021407 0.621146 0.081091 0.205164 5.164456 0.747330 0.308078 0.260889 0.185083 0.080708 0.029955 0.084794 1.862626 0.553477 0.151733 0.230320 0.096955 0.352526 0.590018 0.386853 1.559564 0.606648 0.587531 0.592318 0.885230 4.117654 0.246260 6.508329 0.054187 0.195703 1.669092 0.810168 0.066081 2.437439 0.165666 0.106333 0.093417 0.035149 0.072549 1.202023 1.634845 0.060194 0.069359 2.448827 0.232297 0.064822 3.537387 0.435384 0.290413 0.280695 0.105999 0.206603 0.404968 0.048984 0.069963 0.256662 0.228519 0.241077 4.320442 3.656545 0.290216 0.307466 0.096556 0.306067 0.204296 0.504221 1.991533 0.655465 6.799829 11.291065 0.961142 0.448965 6.227274 20.304886 0.205944 1.495537 0.091940 1.994320 0.754940 0.170343 0.050315 0.372166 0.206332 0.097050 5.381403 0.122332 3.256485 2.261319 0.848067 0.064441 0.102493 0.459041 0.133091 0.561215 0.457430 0.163849 5.260446 0.360946 0.389413 0.033291 0.115301 0.112593 1.559944 0.426508 0.132547 0.498634 0.559069 0.264728 0.693307 0.438856 0.306683 0.109129 18.392863 66.647302 0.400021 4.586081 2.099355 0.411347 0.476350 0.584622 3.634276 0.101797 0.148995 0.089177 0.034710 0.063603 0.755865 20.561407 0.133790 0.154902 M 1: 0.066142 0.590377 0.069930 9.850951 1.101363 0.150375 0.568586 0.051668 0.127170 0.292429 0.071458 1.218562 0.075144 7.169085 30.139501 13.461692 0.021372 0.045779 4.270235 0.468325 0.013688 0.302287 1.353957 0.028386 0.037750 0.262130 0.016923 0.064289 0.855973 0.079621 0.011169 0.161937 0.276530 0.161053 0.081472 0.036742 0.030342 2.851667 3.932151 8.159169 0.219934 0.421974 2.468752 0.344765 0.210724 1.172204 0.763553 0.082464 0.726566 11.149790 4.782635 0.058046 0.498072 0.258487 0.146882 0.249672 0.560142 0.046719 0.106259 0.003656 0.004200 0.014189 0.009876 0.002656 0.040244 0.267322 0.053740 0.006597 0.027639 0.012745 0.582670 0.005035 0.275844 0.098208 0.445038 1.217010 0.033969 1.988516 0.681161 0.825960 18.762977 11.949233 0.286794 0.534219 4.336817 3.054085 0.129551 4.210126 0.165753 1.088704 1.889645 3.344809 0.111063 2.067758 3.547017 2.466507 0.188236 0.203493 0.281953 0.037250 0.029788 0.008541 0.014768 0.125869 0.056702 0.004186 0.110993 0.201148 0.139705 0.009201 0.012095 0.043812 0.013513 0.002533 0.005848 0.031390 0.021612 0.004854 0.129497 0.976631 0.053397 0.019475 0.004964 0.015539 0.031779 0.064558 0.065585 0.079927 0.095591 0.196886 0.408834 0.126088 0.037226 0.452302 0.016212 7.278994 0.029917 7.918203 0.450964 0.169797 0.104288 1.578530 0.015909 0.094365 16.179952 0.042762 14.799537 1.506485 0.637893 0.123793 0.641351 0.154810 0.140750 3.416059 0.259400 0.009457 0.090576 0.292108 0.297913 0.017172 0.021976 0.032578 1.375871 0.457399 0.598048 4.418398 0.239749 0.168432 2.950318 0.143327 0.328689 0.125011 0.562720 1.414883 0.227807 3.478333 2.984862 0.061299 0.077470 1.050562 13.974326 0.154326 0.224675 0.112000 0.060703 0.123480 5.294490 0.447011 0.033381 0.045528 M 2: 0.733336 0.558955 0.503360 4.149599 1.415369 1.367574 1.263002 0.994098 0.517204 0.775054 0.763094 1.890137 0.540460 0.200122 4.972745 1.825593 0.450842 0.526135 3.839269 0.597671 0.058964 2.863355 2.872594 0.258365 0.366868 2.578946 0.358350 0.672023 5.349861 0.691594 0.063347 0.032875 0.821562 0.580847 0.661866 0.265730 0.395134 5.581680 1.279881 1.335650 0.397108 1.840061 5.739035 0.284730 0.109781 1.612642 0.466979 0.141582 0.019509 4.670980 1.967383 0.088064 0.581928 0.145401 0.225860 0.434096 2.292917 1.024707 0.821921 0.027824 0.021443 0.088850 0.060820 0.018288 0.042687 1.199607 0.420710 0.037642 0.141233 0.090101 1.043232 0.209978 0.823594 3.039380 1.463390 1.983693 0.397640 2.831098 4.102068 0.059723 5.901348 2.034980 2.600668 5.413080 4.193725 4.534772 0.377181 4.877840 0.370939 1.298542 3.509873 2.646440 0.087872 0.072299 1.139018 0.864479 0.390688 0.322761 0.625409 0.496780 0.532488 0.232460 0.169219 0.755219 0.379926 0.020447 0.023282 0.503875 0.577513 0.109318 0.153776 0.696533 0.398817 0.008940 0.043707 0.436013 0.087640 0.064863 0.036426 1.673207 0.124068 0.218118 0.039217 0.104335 0.349195 0.838324 0.888693 0.488389 1.385133 0.050226 0.962470 0.502294 1.065585 8.351808 0.377304 5.102837 0.561690 7.010411 3.054968 0.039318 0.204155 2.653232 0.564368 0.854294 15.559906 0.401070 8.929538 5.525874 0.067505 0.273372 0.437116 1.927515 0.940458 2.508169 1.357738 0.043394 0.023126 0.567639 1.048288 0.120994 0.180650 0.449074 3.135353 0.012695 0.570771 2.319555 1.856122 0.975427 3.404087 0.015631 0.458799 0.151684 4.154750 11.429924 1.457957 0.233109 0.077004 0.011074 0.026268 0.052132 8.113282 0.377578 0.429221 0.260296 0.222293 0.273138 2.903836 4.731579 0.564762 0.681215 M 3: 0.658412 0.566269 0.854111 0.884454 1.309554 1.272639 1.874713 0.552007 0.227683 0.581512 0.695190 0.967985 0.344015 0.978992 3.427163 2.333253 0.154701 0.221089 2.088785 0.540749 0.058015 5.851132 2.294145 0.182966 0.684164 3.192521 0.528161 1.128882 3.010922 1.012866 0.227296 0.156635 0.878405 0.802754 0.830884 0.431617 0.456530 3.060574 1.279257 1.438430 0.431464 2.075952 4.840271 0.644656 0.266076 2.084975 0.720060 0.291854 0.028961 4.071574 2.258357 0.073037 1.238426 0.199728 0.160296 0.482619 2.992763 1.296206 0.841829 0.031467 0.048542 0.132774 0.133055 0.056045 0.209188 0.925172 0.360522 0.094591 0.313945 0.118104 0.992259 0.086318 2.149634 5.103188 3.775817 3.954021 0.190734 1.776095 4.495841 0.264277 7.063879 2.221150 3.017954 8.558815 4.310199 2.130054 0.571406 4.137385 0.437589 2.071689 2.498630 1.763546 0.116381 0.296578 1.033710 1.283423 0.312579 0.305772 0.681277 0.507160 0.351381 0.189152 0.217780 0.767361 0.278392 0.092075 0.177263 0.451893 0.653836 0.074620 0.181992 0.752277 0.679853 0.025780 0.082005 0.326441 0.343977 0.195877 0.217424 3.057583 0.377558 0.401252 0.072258 0.241015 0.665865 1.266791 0.680174 0.717301 4.001286 0.362942 1.189259 0.964545 1.350568 12.869737 0.531100 8.904999 0.652629 10.091413 2.671718 0.086367 0.359932 4.797423 0.336801 1.021885 23.029406 0.440178 14.013035 5.069337 0.539010 0.742569 0.780580 1.331875 1.531589 4.414850 1.082703 0.091278 0.172734 0.693405 1.422571 0.068958 0.163829 0.481711 4.643214 0.121821 0.584083 4.216178 1.677263 1.575754 5.046403 0.161015 1.531223 0.599244 5.832025 33.873091 1.914768 1.287474 0.444362 0.076328 0.079916 0.466823 5.231362 0.548763 0.831890 0.382271 0.208791 0.307846 3.717971 5.910440 0.282540 0.964421 Final LogLikelihood: -147577.367303 AIC score: 297716.734607 / AICc score: 3582200.734607 / BIC score: 302543.953802 Free parameters (model + branch lengths): 1281 WARNING: Number of free parameters (K=1281) is larger than alignment size (n=320). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9NZK5/3_mltree/Q9NZK5.raxml.log Analysis started: 19-Jun-2021 10:34:19 / finished: 19-Jun-2021 15:26:50 Elapsed time: 17550.349 seconds