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 13:18:52 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/2_msa/P59542_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/3_mltree/P59542 --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/P59542/2_msa/P59542_trimmed_msa.fasta [00:00:00] Loaded alignment with 484 taxa and 265 sites WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and sp_Q645Y5_TA2R3_GORGO_9595 are exactly identical! WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and sp_Q646A7_TA2R3_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and sp_Q9NYW6_TA2R3_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and tr_A0A2R8Z990_A0A2R8Z990_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and sp_Q646D2_TA2R3_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2Q5G0_H2Q5G0_PANTR_9598 and sp_Q646C5_TA2R8_PANTR_9598 are exactly identical! WARNING: Sequences tr_H2RAY5_H2RAY5_PANTR_9598 and tr_A0A2R8ZIS3_A0A2R8ZIS3_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2RAY5_H2RAY5_PANTR_9598 and sp_Q5Y4Z5_T2R19_PANPA_9597 are exactly identical! WARNING: Sequences tr_J7ME65_J7ME65_PANTR_9598 and tr_A0A2R8ZNR4_A0A2R8ZNR4_PANPA_9597 are exactly identical! WARNING: Sequences tr_J7ME65_J7ME65_PANTR_9598 and sp_Q646E1_T2R46_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q646B5_T2R10_PANTR_9598 and sp_Q646D7_T2R10_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q646C3_T2R50_PANTR_9598 and sp_Q646E4_T2R50_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q646H0_TA2R1_PANTR_9598 and sp_Q646G9_TA2R1_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q645T7_TA2R7_MACMU_9544 and tr_G7PJU2_G7PJU2_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A2R8ZS79_A0A2R8ZS79_PANPA_9597 and sp_Q5Y4Z2_T2R42_PANPA_9597 are exactly identical! WARNING: Duplicate sequences found: 15 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/P59542/3_mltree/P59542.raxml.reduced.phy Alignment comprises 1 partitions and 265 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 265 / 265 Gaps: 1.48 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/3_mltree/P59542.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 484 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 265 / 21200 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -246844.783991] Initial branch length optimization [00:00:03 -210087.565710] Model parameter optimization (eps = 10.000000) [00:00:59 -208607.109617] AUTODETECT spr round 1 (radius: 5) [00:02:01 -161723.842742] AUTODETECT spr round 2 (radius: 10) [00:03:18 -122136.139362] AUTODETECT spr round 3 (radius: 15) [00:05:05 -107240.205982] AUTODETECT spr round 4 (radius: 20) [00:07:06 -104951.777086] AUTODETECT spr round 5 (radius: 25) [00:09:12 -104858.116513] SPR radius for FAST iterations: 25 (autodetect) [00:09:12 -104858.116513] Model parameter optimization (eps = 3.000000) [00:09:29 -104635.723580] FAST spr round 1 (radius: 25) [00:10:51 -94217.691050] FAST spr round 2 (radius: 25) [00:11:55 -93677.198275] FAST spr round 3 (radius: 25) [00:12:48 -93658.544946] FAST spr round 4 (radius: 25) [00:13:35 -93655.118996] FAST spr round 5 (radius: 25) [00:14:21 -93652.490406] FAST spr round 6 (radius: 25) [00:15:05 -93652.490403] Model parameter optimization (eps = 1.000000) [00:15:14 -93649.359614] SLOW spr round 1 (radius: 5) [00:16:38 -93624.489916] SLOW spr round 2 (radius: 5) [00:17:53 -93623.677432] SLOW spr round 3 (radius: 5) [00:19:04 -93623.677146] SLOW spr round 4 (radius: 10) [00:20:18 -93623.677139] SLOW spr round 5 (radius: 15) [00:22:57 -93623.677139] SLOW spr round 6 (radius: 20) [00:26:55 -93623.677139] SLOW spr round 7 (radius: 25) [00:30:43] [worker #4] ML tree search #5, logLikelihood: -93642.799438 [00:30:57 -93623.677139] Model parameter optimization (eps = 0.100000) [00:31:02] [worker #0] ML tree search #1, logLikelihood: -93623.625078 [00:31:02 -246932.521394] Initial branch length optimization [00:31:07 -209651.394541] Model parameter optimization (eps = 10.000000) [00:31:20] [worker #3] ML tree search #4, logLikelihood: -93627.121197 [00:31:57 -208108.237953] AUTODETECT spr round 1 (radius: 5) [00:32:59 -158979.173672] AUTODETECT spr round 2 (radius: 10) [00:33:50] [worker #2] ML tree search #3, logLikelihood: -93637.573538 [00:34:17 -118058.434574] AUTODETECT spr round 3 (radius: 15) [00:35:51 -106239.548942] AUTODETECT spr round 4 (radius: 20) [00:35:51] [worker #1] ML tree search #2, logLikelihood: -93638.400050 [00:37:50 -104017.367881] AUTODETECT spr round 5 (radius: 25) [00:40:14 -103913.431280] SPR radius for FAST iterations: 25 (autodetect) [00:40:14 -103913.431280] Model parameter optimization (eps = 3.000000) [00:40:38 -103670.956175] FAST spr round 1 (radius: 25) [00:41:55 -94083.129901] FAST spr round 2 (radius: 25) [00:42:52 -93713.407182] FAST spr round 3 (radius: 25) [00:43:42 -93688.978144] FAST spr round 4 (radius: 25) [00:44:28 -93686.375188] FAST spr round 5 (radius: 25) [00:45:13 -93686.040488] FAST spr round 6 (radius: 25) [00:45:57 -93686.040128] Model parameter optimization (eps = 1.000000) [00:46:12 -93678.467979] SLOW spr round 1 (radius: 5) [00:47:32 -93648.571575] SLOW spr round 2 (radius: 5) [00:48:48 -93644.585629] SLOW spr round 3 (radius: 5) [00:49:59 -93644.584489] SLOW spr round 4 (radius: 10) [00:51:15 -93644.091178] SLOW spr round 5 (radius: 5) [00:52:56 -93643.730692] SLOW spr round 6 (radius: 5) [00:54:19 -93643.730669] SLOW spr round 7 (radius: 10) [00:55:37 -93641.637150] SLOW spr round 8 (radius: 5) [00:57:17 -93639.214472] SLOW spr round 9 (radius: 5) [00:58:39 -93639.214462] SLOW spr round 10 (radius: 10) [00:59:57 -93639.214462] SLOW spr round 11 (radius: 15) [01:02:33 -93639.214462] SLOW spr round 12 (radius: 20) [01:03:22] [worker #4] ML tree search #10, logLikelihood: -93634.455323 [01:06:40 -93639.214462] SLOW spr round 13 (radius: 25) [01:08:15] [worker #3] ML tree search #9, logLikelihood: -93648.371035 [01:09:14] [worker #1] ML tree search #7, logLikelihood: -93618.171891 [01:10:49 -93639.214462] Model parameter optimization (eps = 0.100000) [01:10:59] [worker #0] ML tree search #6, logLikelihood: -93638.973911 [01:10:59 -246393.430651] Initial branch length optimization [01:11:02 -210232.984957] Model parameter optimization (eps = 10.000000) [01:11:45 -208539.573005] AUTODETECT spr round 1 (radius: 5) [01:12:47 -159261.071519] AUTODETECT spr round 2 (radius: 10) [01:14:02 -116259.911873] AUTODETECT spr round 3 (radius: 15) [01:14:44] [worker #2] ML tree search #8, logLikelihood: -93638.470073 [01:15:37 -105277.097125] AUTODETECT spr round 4 (radius: 20) [01:17:48 -104613.170671] AUTODETECT spr round 5 (radius: 25) [01:20:29 -104613.169079] SPR radius for FAST iterations: 20 (autodetect) [01:20:29 -104613.169079] Model parameter optimization (eps = 3.000000) [01:20:51 -104431.033439] FAST spr round 1 (radius: 20) [01:22:09 -93962.241903] FAST spr round 2 (radius: 20) [01:23:11 -93695.638448] FAST spr round 3 (radius: 20) [01:24:05 -93672.492388] FAST spr round 4 (radius: 20) [01:24:50 -93671.702793] FAST spr round 5 (radius: 20) [01:25:34 -93671.702790] Model parameter optimization (eps = 1.000000) [01:25:42 -93669.636076] SLOW spr round 1 (radius: 5) [01:27:06 -93636.451745] SLOW spr round 2 (radius: 5) [01:28:21 -93636.413748] SLOW spr round 3 (radius: 10) [01:29:37 -93636.228742] SLOW spr round 4 (radius: 5) [01:31:18 -93635.883238] SLOW spr round 5 (radius: 5) [01:32:41 -93635.883229] SLOW spr round 6 (radius: 10) [01:32:55] [worker #4] ML tree search #15, logLikelihood: -93627.897857 [01:34:00 -93633.462090] SLOW spr round 7 (radius: 5) [01:35:43 -93631.063761] SLOW spr round 8 (radius: 5) [01:37:06 -93631.063749] SLOW spr round 9 (radius: 10) [01:38:24 -93631.063748] SLOW spr round 10 (radius: 15) [01:40:42] [worker #1] ML tree search #12, logLikelihood: -93621.822982 [01:40:59 -93631.063747] SLOW spr round 11 (radius: 20) [01:42:52] [worker #3] ML tree search #14, logLikelihood: -93635.017570 [01:45:07 -93631.063746] SLOW spr round 12 (radius: 25) [01:45:35] [worker #2] ML tree search #13, logLikelihood: -93631.181164 [01:49:21 -93631.063746] Model parameter optimization (eps = 0.100000) [01:49:26] [worker #0] ML tree search #11, logLikelihood: -93631.027746 [01:49:26 -248891.594087] Initial branch length optimization [01:49:30 -210663.651234] Model parameter optimization (eps = 10.000000) [01:50:26 -209119.842259] AUTODETECT spr round 1 (radius: 5) [01:51:29 -166003.777050] AUTODETECT spr round 2 (radius: 10) [01:52:47 -122837.572355] AUTODETECT spr round 3 (radius: 15) [01:54:26 -105748.256980] AUTODETECT spr round 4 (radius: 20) [01:56:24 -105131.653204] AUTODETECT spr round 5 (radius: 25) [01:58:33 -105106.629316] SPR radius for FAST iterations: 25 (autodetect) [01:58:33 -105106.629316] Model parameter optimization (eps = 3.000000) [01:58:55 -104884.366791] FAST spr round 1 (radius: 25) [02:00:12 -94083.827996] FAST spr round 2 (radius: 25) [02:01:14 -93703.397364] FAST spr round 3 (radius: 25) [02:02:04 -93678.129569] FAST spr round 4 (radius: 25) [02:02:48 -93675.974300] FAST spr round 5 (radius: 25) [02:03:33 -93674.094420] FAST spr round 6 (radius: 25) [02:04:18 -93674.093436] Model parameter optimization (eps = 1.000000) [02:04:30 -93668.459632] SLOW spr round 1 (radius: 5) [02:05:39] [worker #4] ML tree search #20, logLikelihood: -93634.454110 [02:05:54 -93643.572983] SLOW spr round 2 (radius: 5) [02:07:09 -93641.420207] SLOW spr round 3 (radius: 5) [02:08:20 -93640.866019] SLOW spr round 4 (radius: 5) [02:09:30 -93640.866012] SLOW spr round 5 (radius: 10) [02:10:43 -93640.469333] SLOW spr round 6 (radius: 5) [02:12:24 -93640.100415] SLOW spr round 7 (radius: 5) [02:13:15] [worker #3] ML tree search #19, logLikelihood: -93634.573960 [02:13:47 -93640.100383] SLOW spr round 8 (radius: 10) [02:14:53] [worker #2] ML tree search #18, logLikelihood: -93631.636708 [02:15:04 -93638.128868] SLOW spr round 9 (radius: 5) [02:16:45 -93635.713054] SLOW spr round 10 (radius: 5) [02:18:07 -93635.713047] SLOW spr round 11 (radius: 10) [02:19:23 -93635.713047] SLOW spr round 12 (radius: 15) [02:20:29] [worker #1] ML tree search #17, logLikelihood: -93631.215350 [02:22:01 -93635.713047] SLOW spr round 13 (radius: 20) [02:26:11 -93635.713047] SLOW spr round 14 (radius: 25) [02:30:23 -93635.713047] Model parameter optimization (eps = 0.100000) [02:30:29] [worker #0] ML tree search #16, logLikelihood: -93635.594638 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.215219,0.652442) (0.136425,0.868569) (0.543887,1.028553) (0.104469,1.738993) 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: -93618.171891 AIC score: 189178.343782 / AICc score: 2076802.343782 / BIC score: 192654.261443 Free parameters (model + branch lengths): 971 WARNING: Number of free parameters (K=971) is larger than alignment size (n=265). 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/P59542/3_mltree/P59542.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/3_mltree/P59542.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/3_mltree/P59542.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P59542/3_mltree/P59542.raxml.log Analysis started: 04-Jul-2021 13:18:52 / finished: 04-Jul-2021 15:49:22 Elapsed time: 9029.811 seconds Consumed energy: 862.521 Wh (= 4 km in an electric car, or 22 km with an e-scooter!)