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 04-Jul-2021 11:05:54 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/2_msa/O00204_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/3_mltree/O00204 --seed 2 --threads 6 --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 (6 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/2_msa/O00204_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 288 sites WARNING: Sequences tr_G3R0R8_G3R0R8_GORGO_9595 and tr_H2QPK7_H2QPK7_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3R0R8_G3R0R8_GORGO_9595 and tr_A0A2R8ZVR2_A0A2R8ZVR2_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3RZK0_A0A2I3RZK0_PANTR_9598 and sp_O75897_ST1C4_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3RZK0_A0A2I3RZK0_PANTR_9598 and tr_A0A2R9BNR2_A0A2R9BNR2_PANPA_9597 are exactly identical! WARNING: Sequences sp_P0DMM9_ST1A3_HUMAN_9606 and sp_P0DMN0_ST1A4_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G7PMW6_G7PMW6_MACFA_9541 and tr_A0A2K6D0J0_A0A2K6D0J0_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7PY09_G7PY09_MACFA_9541 and tr_A0A2K6D4E1_A0A2K6D4E1_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7PY24_G7PY24_MACFA_9541 and tr_A0A0A0MV09_A0A0A0MV09_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G7PY24_G7PY24_MACFA_9541 and tr_A0A0D9S2W9_A0A0D9S2W9_CHLSB_60711 are exactly identical! WARNING: Sequences tr_G7PY24_G7PY24_MACFA_9541 and tr_A0A2K5YG65_A0A2K5YG65_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A096N9E5_A0A096N9E5_PAPAN_9555 and tr_A0A2K5MBC5_A0A2K5MBC5_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096N9E5_A0A096N9E5_PAPAN_9555 and tr_A0A2K5YSI6_A0A2K5YSI6_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A0V1CQT5_A0A0V1CQT5_TRIBR_45882 and tr_A0A0V0UQM2_A0A0V0UQM2_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V1M2U2_A0A0V1M2U2_9BILA_268474 and tr_A0A0V1GTI8_A0A0V1GTI8_9BILA_268475 are exactly identical! WARNING: Duplicate sequences found: 14 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/O00204/3_mltree/O00204.raxml.reduced.phy Alignment comprises 1 partitions and 288 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 288 / 288 Gaps: 4.31 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/3_mltree/O00204.raxml.rba Parallelization scheme autoconfig: 6 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 1001 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 288 / 23040 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -517652.123195] Initial branch length optimization [00:00:06 -445582.775394] Model parameter optimization (eps = 10.000000) [00:01:03 -443683.664733] AUTODETECT spr round 1 (radius: 5) [00:05:12 -343848.555583] AUTODETECT spr round 2 (radius: 10) [00:09:54 -261539.384770] AUTODETECT spr round 3 (radius: 15) [00:14:43 -229451.357034] AUTODETECT spr round 4 (radius: 20) [00:21:13 -215502.297235] AUTODETECT spr round 5 (radius: 25) [00:28:42 -209052.313004] SPR radius for FAST iterations: 25 (autodetect) [00:28:42 -209052.313004] Model parameter optimization (eps = 3.000000) [00:28:57 -209044.129053] FAST spr round 1 (radius: 25) [00:34:26 -178653.900420] FAST spr round 2 (radius: 25) [00:38:12 -177472.007033] FAST spr round 3 (radius: 25) [00:41:30 -177372.926131] FAST spr round 4 (radius: 25) [00:44:26 -177357.483515] FAST spr round 5 (radius: 25) [00:47:13 -177347.229084] FAST spr round 6 (radius: 25) [00:49:56 -177340.428675] FAST spr round 7 (radius: 25) [00:52:34 -177340.428582] Model parameter optimization (eps = 1.000000) [00:53:03 -177246.494702] SLOW spr round 1 (radius: 5) [00:56:59 -177204.373086] SLOW spr round 2 (radius: 5) [01:00:39 -177200.066787] SLOW spr round 3 (radius: 5) [01:04:11 -177198.572409] SLOW spr round 4 (radius: 5) [01:07:42 -177197.560735] SLOW spr round 5 (radius: 5) [01:11:27 -177196.648449] SLOW spr round 6 (radius: 5) [01:15:13 -177196.648420] SLOW spr round 7 (radius: 10) [01:19:11 -177195.748399] SLOW spr round 8 (radius: 5) [01:24:09 -177190.015106] SLOW spr round 9 (radius: 5) [01:28:28 -177190.015091] SLOW spr round 10 (radius: 10) [01:32:30 -177189.444322] SLOW spr round 11 (radius: 5) [01:36:51] [worker #5] ML tree search #6, logLikelihood: -177197.436014 [01:37:27 -177189.444320] SLOW spr round 12 (radius: 10) [01:41:47 -177188.731542] SLOW spr round 13 (radius: 5) [01:43:07] [worker #2] ML tree search #3, logLikelihood: -177199.849464 [01:46:36 -177188.731537] SLOW spr round 14 (radius: 10) [01:50:49 -177188.731537] SLOW spr round 15 (radius: 15) [01:57:07 -177188.731537] SLOW spr round 16 (radius: 20) [01:58:11] [worker #4] ML tree search #5, logLikelihood: -177214.995500 [02:07:25 -177188.731537] SLOW spr round 17 (radius: 25) [02:08:10] [worker #1] ML tree search #2, logLikelihood: -177184.767664 [02:17:48] [worker #3] ML tree search #4, logLikelihood: -177199.307737 [02:20:56 -177188.731537] Model parameter optimization (eps = 0.100000) [02:21:12] [worker #0] ML tree search #1, logLikelihood: -177188.640380 [02:21:12 -520038.773221] Initial branch length optimization [02:21:18 -445386.704724] Model parameter optimization (eps = 10.000000) [02:22:24 -443547.840503] AUTODETECT spr round 1 (radius: 5) [02:26:57 -337883.048689] AUTODETECT spr round 2 (radius: 10) [02:32:08 -257723.747956] AUTODETECT spr round 3 (radius: 15) [02:37:47 -219297.844932] AUTODETECT spr round 4 (radius: 20) [02:43:50 -208963.550863] AUTODETECT spr round 5 (radius: 25) [02:51:19 -205954.324254] SPR radius for FAST iterations: 25 (autodetect) [02:51:19 -205954.324254] Model parameter optimization (eps = 3.000000) [02:52:11 -205802.121718] FAST spr round 1 (radius: 25) [02:57:46 -178444.377635] FAST spr round 2 (radius: 25) [03:01:36 -177394.945911] FAST spr round 3 (radius: 25) [03:05:02 -177309.474499] FAST spr round 4 (radius: 25) [03:08:04 -177297.134467] FAST spr round 5 (radius: 25) [03:11:02 -177287.569862] FAST spr round 6 (radius: 25) [03:13:55 -177277.759867] FAST spr round 7 (radius: 25) [03:16:42 -177277.759817] Model parameter optimization (eps = 1.000000) [03:17:06 -177270.876411] SLOW spr round 1 (radius: 5) [03:21:17 -177222.199578] SLOW spr round 2 (radius: 5) [03:21:54] [worker #5] ML tree search #12, logLikelihood: -177207.844069 [03:25:21 -177211.974655] SLOW spr round 3 (radius: 5) [03:29:11 -177210.067260] SLOW spr round 4 (radius: 5) [03:32:55 -177210.067259] SLOW spr round 5 (radius: 10) [03:35:13] [worker #4] ML tree search #11, logLikelihood: -177200.958232 [03:36:49 -177210.067259] SLOW spr round 6 (radius: 15) [03:43:49 -177210.067259] SLOW spr round 7 (radius: 20) [03:45:37] [worker #2] ML tree search #9, logLikelihood: -177188.586218 [03:54:42 -177210.067259] SLOW spr round 8 (radius: 25) [04:03:56] [worker #1] ML tree search #8, logLikelihood: -177203.632572 [04:09:27 -177210.067259] Model parameter optimization (eps = 0.100000) [04:09:40] [worker #0] ML tree search #7, logLikelihood: -177209.933642 [04:09:40 -520840.876103] Initial branch length optimization [04:09:46 -446044.661879] Model parameter optimization (eps = 10.000000) [04:10:50 -444104.369817] AUTODETECT spr round 1 (radius: 5) [04:15:22 -337776.313171] AUTODETECT spr round 2 (radius: 10) [04:20:17] [worker #3] ML tree search #10, logLikelihood: -177194.040608 [04:20:25 -258157.654704] AUTODETECT spr round 3 (radius: 15) [04:25:56 -232205.981832] AUTODETECT spr round 4 (radius: 20) [04:33:02 -208733.484881] AUTODETECT spr round 5 (radius: 25) [04:42:32 -206326.934522] SPR radius for FAST iterations: 25 (autodetect) [04:42:32 -206326.934522] Model parameter optimization (eps = 3.000000) [04:43:07 -206231.113733] FAST spr round 1 (radius: 25) [04:48:49 -178317.744404] FAST spr round 2 (radius: 25) [04:52:53 -177380.494281] FAST spr round 3 (radius: 25) [04:56:19 -177265.449437] FAST spr round 4 (radius: 25) [04:59:26 -177246.158210] FAST spr round 5 (radius: 25) [05:02:19 -177242.235768] FAST spr round 6 (radius: 25) [05:05:11 -177228.270688] FAST spr round 7 (radius: 25) [05:07:58 -177228.270509] Model parameter optimization (eps = 1.000000) [05:08:22 -177218.781057] SLOW spr round 1 (radius: 5) [05:12:37 -177184.692873] SLOW spr round 2 (radius: 5) [05:16:35 -177183.793765] SLOW spr round 3 (radius: 5) [05:20:25 -177181.067938] SLOW spr round 4 (radius: 5) [05:24:11 -177181.067879] SLOW spr round 5 (radius: 10) [05:28:06 -177178.350112] SLOW spr round 6 (radius: 5) [05:31:07] [worker #4] ML tree search #17, logLikelihood: -177203.930875 [05:33:01 -177178.350111] SLOW spr round 7 (radius: 10) [05:37:18 -177178.350111] SLOW spr round 8 (radius: 15) [05:38:53] [worker #5] ML tree search #18, logLikelihood: -177195.224416 [05:43:42 -177178.350111] SLOW spr round 9 (radius: 20) [05:52:29] [worker #2] ML tree search #15, logLikelihood: -177206.050777 [05:54:24 -177178.350111] SLOW spr round 10 (radius: 25) [06:04:21] [worker #1] ML tree search #14, logLikelihood: -177228.555894 [06:09:06 -177178.350111] Model parameter optimization (eps = 0.100000) [06:09:15] [worker #0] ML tree search #13, logLikelihood: -177178.271571 [06:09:15 -519020.827833] Initial branch length optimization [06:09:23 -445342.742096] Model parameter optimization (eps = 10.000000) [06:10:26 -443459.863740] AUTODETECT spr round 1 (radius: 5) [06:15:00 -336158.207284] AUTODETECT spr round 2 (radius: 10) [06:19:56 -266062.278064] AUTODETECT spr round 3 (radius: 15) [06:22:45] [worker #3] ML tree search #16, logLikelihood: -177206.898033 [06:25:12 -233812.743180] AUTODETECT spr round 4 (radius: 20) [06:30:54 -218404.087660] AUTODETECT spr round 5 (radius: 25) [06:38:03 -211580.219250] SPR radius for FAST iterations: 25 (autodetect) [06:38:03 -211580.219250] Model parameter optimization (eps = 3.000000) [06:38:35 -211523.617097] FAST spr round 1 (radius: 25) [06:44:33 -178650.835063] FAST spr round 2 (radius: 25) [06:48:37 -177369.587101] FAST spr round 3 (radius: 25) [06:52:13 -177300.240889] FAST spr round 4 (radius: 25) [06:55:08 -177289.046732] FAST spr round 5 (radius: 25) [06:57:49 -177289.046635] Model parameter optimization (eps = 1.000000) [06:58:17 -177272.683894] SLOW spr round 1 (radius: 5) [07:02:16 -177239.798655] SLOW spr round 2 (radius: 5) [07:06:07 -177226.861616] SLOW spr round 3 (radius: 5) [07:09:43 -177226.861596] SLOW spr round 4 (radius: 10) [07:13:26 -177222.467605] SLOW spr round 5 (radius: 5) [07:18:07 -177219.857583] SLOW spr round 6 (radius: 5) [07:22:13 -177216.340625] SLOW spr round 7 (radius: 5) [07:26:04 -177209.594728] SLOW spr round 8 (radius: 5) [07:29:46 -177205.232361] SLOW spr round 9 (radius: 5) [07:33:20 -177205.232332] SLOW spr round 10 (radius: 10) [07:36:57 -177204.666380] SLOW spr round 11 (radius: 5) [07:41:34 -177204.666371] SLOW spr round 12 (radius: 10) [07:45:33 -177204.651827] SLOW spr round 13 (radius: 15) [07:51:24 -177204.651799] SLOW spr round 14 (radius: 20) [08:01:17 -177204.651799] SLOW spr round 15 (radius: 25) [08:11:47] [worker #1] ML tree search #20, logLikelihood: -177209.256727 [08:14:24 -177204.651799] Model parameter optimization (eps = 0.100000) [08:14:44] [worker #0] ML tree search #19, logLikelihood: -177203.524149 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.123243,0.512811) (0.224359,0.557278) (0.311177,0.765115) (0.341221,1.681265) 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: -177178.271571 AIC score: 358366.543142 / AICc score: 8402426.543142 / BIC score: 365710.778904 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=288). 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/O00204/3_mltree/O00204.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/3_mltree/O00204.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/3_mltree/O00204.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00204/3_mltree/O00204.raxml.log Analysis started: 04-Jul-2021 11:05:54 / finished: 04-Jul-2021 19:20:39 Elapsed time: 29684.602 seconds Consumed energy: 2842.233 Wh (= 14 km in an electric car, or 71 km with an e-scooter!)