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 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM RAxML-NG was called at 30-Jun-2021 17:31:45 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/2_msa/O15529_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/2_msa/O15529_trimmed_msa.fasta [00:00:00] Loaded alignment with 516 taxa and 351 sites WARNING: Sequences tr_H2QG25_H2QG25_PANTR_9598 and tr_A0A2R8ZS24_A0A2R8ZS24_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QR42_H2QR42_PANTR_9598 and tr_A0A2R8ZPF1_A0A2R8ZPF1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2R4U2_H2R4U2_PANTR_9598 and tr_A0A2R8ZAQ1_A0A2R8ZAQ1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2RGA1_H2RGA1_PANTR_9598 and tr_A0A2R8ZEH5_A0A2R8ZEH5_PANPA_9597 are exactly identical! WARNING: Sequences tr_F6W3L4_F6W3L4_MACMU_9544 and tr_G7PX90_G7PX90_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A096MYH2_A0A096MYH2_PAPAN_9555 and tr_A0A0D9RS49_A0A0D9RS49_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A096MYH2_A0A096MYH2_PAPAN_9555 and tr_A0A2K5LW51_A0A2K5LW51_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096MYH2_A0A096MYH2_PAPAN_9555 and tr_A0A2K6D3B8_A0A2K6D3B8_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2I3N538_A0A2I3N538_PAPAN_9555 and tr_A0A2K5XFW5_A0A2K5XFW5_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A0D9SCZ3_A0A0D9SCZ3_CHLSB_60711 and tr_A0A2K5KKW9_A0A2K5KKW9_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1U7Q260_A0A1U7Q260_MESAU_10036 and sp_Q76JU8_FFAR1_MESAU_10036 are exactly identical! WARNING: Sequences tr_A0A2K5KNA6_A0A2K5KNA6_CERAT_9531 and tr_A0A2K6B121_A0A2K6B121_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2K5KNA6_A0A2K5KNA6_CERAT_9531 and tr_A0A2K5XT84_A0A2K5XT84_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2K5KQ90_A0A2K5KQ90_CERAT_9531 and tr_A0A2K6AZP9_A0A2K6AZP9_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A2Y9P2S6_A0A2Y9P2S6_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A2Y9FHD8_A0A2Y9FHD8_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A384APZ3_A0A384APZ3_BALAS_310752 are exactly identical! WARNING: Duplicate sequences found: 17 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.raxml.reduced.phy Alignment comprises 1 partitions and 351 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 351 / 351 Gaps: 15.60 % Invariant sites: 0.28 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.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 516 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 351 / 28080 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -346301.939154] Initial branch length optimization [00:00:04 -289687.949514] Model parameter optimization (eps = 10.000000) [00:00:41 -288363.282938] AUTODETECT spr round 1 (radius: 5) [00:02:03 -195452.828572] AUTODETECT spr round 2 (radius: 10) [00:03:39 -144007.116197] AUTODETECT spr round 3 (radius: 15) [00:05:26 -130854.457304] AUTODETECT spr round 4 (radius: 20) [00:08:10 -121526.446877] AUTODETECT spr round 5 (radius: 25) [00:10:55 -121085.149838] SPR radius for FAST iterations: 25 (autodetect) [00:10:55 -121085.149838] Model parameter optimization (eps = 3.000000) [00:11:20 -121010.217941] FAST spr round 1 (radius: 25) [00:12:57 -107116.005561] FAST spr round 2 (radius: 25) [00:14:11 -106709.113989] FAST spr round 3 (radius: 25) [00:15:14 -106666.965786] FAST spr round 4 (radius: 25) [00:16:08 -106662.925127] FAST spr round 5 (radius: 25) [00:16:59 -106662.924350] Model parameter optimization (eps = 1.000000) [00:17:15 -106654.375863] SLOW spr round 1 (radius: 5) [00:18:54 -106630.732241] SLOW spr round 2 (radius: 5) [00:20:28 -106626.396171] SLOW spr round 3 (radius: 5) [00:21:54 -106626.174573] SLOW spr round 4 (radius: 5) [00:23:18 -106626.174507] SLOW spr round 5 (radius: 10) [00:24:46 -106624.981061] SLOW spr round 6 (radius: 5) [00:26:49 -106624.979616] SLOW spr round 7 (radius: 10) [00:28:34 -106624.979474] SLOW spr round 8 (radius: 15) [00:31:26 -106624.979459] SLOW spr round 9 (radius: 20) [00:35:56 -106624.979457] SLOW spr round 10 (radius: 25) [00:38:37] [worker #2] ML tree search #3, logLikelihood: -106611.227944 [00:40:51] [worker #1] ML tree search #2, logLikelihood: -106610.901452 [00:41:02 -106624.979457] Model parameter optimization (eps = 0.100000) [00:41:08] [worker #0] ML tree search #1, logLikelihood: -106624.833813 [00:41:08 -346487.963523] Initial branch length optimization [00:41:13 -289044.973371] Model parameter optimization (eps = 10.000000) [00:41:34] [worker #3] ML tree search #4, logLikelihood: -106641.362719 [00:41:57 -287587.395004] AUTODETECT spr round 1 (radius: 5) [00:43:20 -204896.495052] AUTODETECT spr round 2 (radius: 10) [00:44:58 -154205.849973] AUTODETECT spr round 3 (radius: 15) [00:45:25] [worker #4] ML tree search #5, logLikelihood: -106620.227398 [00:46:55 -131776.382869] AUTODETECT spr round 4 (radius: 20) [00:49:17 -119346.503139] AUTODETECT spr round 5 (radius: 25) [00:52:11 -117866.150985] SPR radius for FAST iterations: 25 (autodetect) [00:52:11 -117866.150985] Model parameter optimization (eps = 3.000000) [00:52:32 -117719.188784] FAST spr round 1 (radius: 25) [00:54:05 -107306.332227] FAST spr round 2 (radius: 25) [00:55:18 -106698.808962] FAST spr round 3 (radius: 25) [00:56:24 -106659.257075] FAST spr round 4 (radius: 25) [00:57:17 -106659.255309] Model parameter optimization (eps = 1.000000) [00:57:36 -106656.076096] SLOW spr round 1 (radius: 5) [00:59:21 -106634.866543] SLOW spr round 2 (radius: 5) [01:00:56 -106626.369652] SLOW spr round 3 (radius: 5) [01:02:23 -106626.242468] SLOW spr round 4 (radius: 5) [01:03:46 -106626.242423] SLOW spr round 5 (radius: 10) [01:05:18 -106621.576327] SLOW spr round 6 (radius: 5) [01:07:21 -106621.373566] SLOW spr round 7 (radius: 5) [01:09:03 -106620.262265] SLOW spr round 8 (radius: 5) [01:10:32 -106620.262236] SLOW spr round 9 (radius: 10) [01:12:02 -106619.376340] SLOW spr round 10 (radius: 5) [01:14:03 -106619.376320] SLOW spr round 11 (radius: 10) [01:15:47 -106619.001029] SLOW spr round 12 (radius: 5) [01:17:44 -106619.000949] SLOW spr round 13 (radius: 10) [01:18:26] [worker #2] ML tree search #8, logLikelihood: -106618.010930 [01:19:26 -106619.000948] SLOW spr round 14 (radius: 15) [01:22:19 -106619.000948] SLOW spr round 15 (radius: 20) [01:24:37] [worker #3] ML tree search #9, logLikelihood: -106619.134397 [01:25:43] [worker #4] ML tree search #10, logLikelihood: -106651.233265 [01:26:47 -106619.000948] SLOW spr round 16 (radius: 25) [01:28:46] [worker #1] ML tree search #7, logLikelihood: -106607.371519 [01:32:02 -106619.000948] Model parameter optimization (eps = 0.100000) [01:32:11] [worker #0] ML tree search #6, logLikelihood: -106618.630113 [01:32:12 -346577.032071] Initial branch length optimization [01:32:15 -287288.414810] Model parameter optimization (eps = 10.000000) [01:33:11 -286046.979954] AUTODETECT spr round 1 (radius: 5) [01:34:36 -200303.649243] AUTODETECT spr round 2 (radius: 10) [01:36:19 -143850.869435] AUTODETECT spr round 3 (radius: 15) [01:38:34 -121093.209945] AUTODETECT spr round 4 (radius: 20) [01:41:44 -117325.882084] AUTODETECT spr round 5 (radius: 25) [01:45:20 -117325.859346] SPR radius for FAST iterations: 20 (autodetect) [01:45:20 -117325.859346] Model parameter optimization (eps = 3.000000) [01:45:48 -117198.338931] FAST spr round 1 (radius: 20) [01:47:25 -107180.116972] FAST spr round 2 (radius: 20) [01:48:45 -106673.519482] FAST spr round 3 (radius: 20) [01:49:48 -106647.812079] FAST spr round 4 (radius: 20) [01:50:46 -106643.548824] FAST spr round 5 (radius: 20) [01:51:40 -106643.548686] Model parameter optimization (eps = 1.000000) [01:51:54 -106641.749964] SLOW spr round 1 (radius: 5) [01:53:37 -106626.214268] SLOW spr round 2 (radius: 5) [01:55:14 -106626.213848] SLOW spr round 3 (radius: 10) [01:56:50 -106623.999172] SLOW spr round 4 (radius: 5) [01:59:06 -106623.038745] SLOW spr round 5 (radius: 5) [02:00:56 -106622.526931] SLOW spr round 6 (radius: 5) [02:02:09] [worker #2] ML tree search #13, logLikelihood: -106608.990685 [02:02:18] [worker #4] ML tree search #15, logLikelihood: -106620.419345 [02:02:34 -106622.526922] SLOW spr round 7 (radius: 10) [02:04:10 -106621.669484] SLOW spr round 8 (radius: 5) [02:06:20 -106621.669123] SLOW spr round 9 (radius: 10) [02:06:46] [worker #3] ML tree search #14, logLikelihood: -106616.782362 [02:08:10 -106621.669115] SLOW spr round 10 (radius: 15) [02:11:02 -106621.669115] SLOW spr round 11 (radius: 20) [02:15:14] [worker #1] ML tree search #12, logLikelihood: -106622.376300 [02:15:22 -106621.669115] SLOW spr round 12 (radius: 25) [02:20:37 -106621.669115] Model parameter optimization (eps = 0.100000) [02:20:45] [worker #0] ML tree search #11, logLikelihood: -106621.334543 [02:20:45 -347685.386905] Initial branch length optimization [02:20:50 -291792.560034] Model parameter optimization (eps = 10.000000) [02:21:33 -290252.371971] AUTODETECT spr round 1 (radius: 5) [02:23:02 -208048.669886] AUTODETECT spr round 2 (radius: 10) [02:24:55 -154866.916877] AUTODETECT spr round 3 (radius: 15) [02:26:53 -137578.452349] AUTODETECT spr round 4 (radius: 20) [02:29:42 -122847.551309] AUTODETECT spr round 5 (radius: 25) [02:32:19 -120757.846010] SPR radius for FAST iterations: 25 (autodetect) [02:32:19 -120757.846010] Model parameter optimization (eps = 3.000000) [02:32:45 -120677.441638] FAST spr round 1 (radius: 25) [02:34:32 -107068.468525] FAST spr round 2 (radius: 25) [02:35:53 -106738.543173] FAST spr round 3 (radius: 25) [02:36:59 -106680.822013] FAST spr round 4 (radius: 25) [02:37:56 -106680.821674] Model parameter optimization (eps = 1.000000) [02:38:10 -106675.515691] SLOW spr round 1 (radius: 5) [02:39:55 -106635.729506] SLOW spr round 2 (radius: 5) [02:41:34 -106630.272846] SLOW spr round 3 (radius: 5) [02:43:06 -106630.272025] SLOW spr round 4 (radius: 10) [02:44:41 -106629.294284] SLOW spr round 5 (radius: 5) [02:45:13] [worker #4] ML tree search #20, logLikelihood: -106606.667413 [02:46:51 -106629.292978] SLOW spr round 6 (radius: 10) [02:48:24] [worker #2] ML tree search #18, logLikelihood: -106640.157003 [02:48:43 -106628.943560] SLOW spr round 7 (radius: 5) [02:50:49 -106628.943554] SLOW spr round 8 (radius: 10) [02:52:36] [worker #3] ML tree search #19, logLikelihood: -106611.966368 [02:52:37 -106628.624312] SLOW spr round 9 (radius: 5) [02:54:45 -106626.476693] SLOW spr round 10 (radius: 5) [02:56:30 -106626.476630] SLOW spr round 11 (radius: 10) [02:58:08 -106626.476627] SLOW spr round 12 (radius: 15) [03:01:19 -106626.476626] SLOW spr round 13 (radius: 20) [03:01:32] [worker #1] ML tree search #17, logLikelihood: -106612.939531 [03:05:59 -106626.476626] SLOW spr round 14 (radius: 25) [03:11:30 -106626.476626] Model parameter optimization (eps = 0.100000) [03:11:42] [worker #0] ML tree search #16, logLikelihood: -106626.294146 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.213068,0.518407) (0.226349,0.669465) (0.333621,0.862902) (0.226962,1.983278) 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: -106606.667413 AIC score: 215283.334827 / AICc score: 2359803.334827 / BIC score: 219279.248568 Free parameters (model + branch lengths): 1035 WARNING: Number of free parameters (K=1035) is larger than alignment size (n=351). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15529/3_mltree/O15529.raxml.log Analysis started: 30-Jun-2021 17:31:45 / finished: 30-Jun-2021 20:43:27 Elapsed time: 11502.316 seconds Consumed energy: 1066.059 Wh (= 5 km in an electric car, or 27 km with an e-scooter!)