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 03-Jun-2021 14:54:52 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/2_msa/P19438_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438 --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/020621_run/phylogeny-snakemake/results/P19438/2_msa/P19438_trimmed_msa.fasta [00:00:00] Loaded alignment with 293 taxa and 243 sites WARNING: Sequences tr_G3R5J9_G3R5J9_GORGO_9595 and sp_P36941_TNR3_HUMAN_9606 are exactly identical! WARNING: Sequences tr_K7BID5_K7BID5_PANTR_9598 and sp_P19438_TNR1A_HUMAN_9606 are exactly identical! WARNING: Sequences tr_K7BID5_K7BID5_PANTR_9598 and tr_A0A2R8ZK33_A0A2R8ZK33_PANPA_9597 are exactly identical! WARNING: Sequences tr_G7N5L8_G7N5L8_MACMU_9544 and tr_G8F5D1_G8F5D1_MACFA_9541 are exactly identical! WARNING: Sequences tr_G7N5L8_G7N5L8_MACMU_9544 and tr_A0A2K5M7W1_A0A2K5M7W1_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7N5L8_G7N5L8_MACMU_9544 and tr_A0A2K6BJL9_A0A2K6BJL9_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7N5L8_G7N5L8_MACMU_9544 and tr_A0A2K6A4X4_A0A2K6A4X4_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A286ZVH7_A0A286ZVH7_PIG_9823 and sp_P50555_TNR1A_PIG_9823 are exactly identical! WARNING: Sequences tr_F1MSX5_F1MSX5_BOVIN_9913 and sp_O19131_TNR1A_BOVIN_9913 are exactly identical! WARNING: Sequences tr_A0A2K6BKW1_A0A2K6BKW1_MACNE_9545 and tr_A0A2K5Y3U3_A0A2K5Y3U3_MANLE_9568 are exactly identical! WARNING: Duplicate sequences found: 10 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.reduced.phy Alignment comprises 1 partitions and 243 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 243 / 243 Gaps: 24.04 % Invariant sites: 0.41 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.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 293 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 243 / 19440 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -131553.896144] Initial branch length optimization [00:00:01 -107541.944519] Model parameter optimization (eps = 10.000000) [00:00:25 -107092.442733] AUTODETECT spr round 1 (radius: 5) [00:00:48 -83446.941714] AUTODETECT spr round 2 (radius: 10) [00:01:20 -65900.937665] AUTODETECT spr round 3 (radius: 15) [00:02:02 -61820.437377] AUTODETECT spr round 4 (radius: 20) [00:02:47 -60673.717661] AUTODETECT spr round 5 (radius: 25) [00:03:38 -60673.679201] SPR radius for FAST iterations: 20 (autodetect) [00:03:38 -60673.679201] Model parameter optimization (eps = 3.000000) [00:03:51 -60484.989490] FAST spr round 1 (radius: 20) [00:04:31 -55955.811999] FAST spr round 2 (radius: 20) [00:05:00 -55765.750643] FAST spr round 3 (radius: 20) [00:05:22 -55757.113120] FAST spr round 4 (radius: 20) [00:05:41 -55757.097511] Model parameter optimization (eps = 1.000000) [00:05:51 -55752.317108] SLOW spr round 1 (radius: 5) [00:06:32 -55733.713926] SLOW spr round 2 (radius: 5) [00:07:06 -55733.538587] SLOW spr round 3 (radius: 5) [00:07:40 -55733.538450] SLOW spr round 4 (radius: 10) [00:08:17 -55733.538436] SLOW spr round 5 (radius: 15) [00:09:45 -55733.538432] SLOW spr round 6 (radius: 20) [00:11:17 -55733.538430] SLOW spr round 7 (radius: 25) [00:12:24] [worker #3] ML tree search #4, logLikelihood: -55726.039896 [00:12:32 -55733.538429] Model parameter optimization (eps = 0.100000) [00:12:37] [worker #0] ML tree search #1, logLikelihood: -55733.430560 [00:12:37 -130209.311889] Initial branch length optimization [00:12:38 -106363.788328] Model parameter optimization (eps = 10.000000) [00:13:00 -105942.525260] AUTODETECT spr round 1 (radius: 5) [00:13:22 -84367.297222] AUTODETECT spr round 2 (radius: 10) [00:13:35] [worker #2] ML tree search #3, logLikelihood: -55729.760884 [00:13:53 -66600.682833] AUTODETECT spr round 3 (radius: 15) [00:14:29 -60589.698033] AUTODETECT spr round 4 (radius: 20) [00:15:16 -60328.738161] AUTODETECT spr round 5 (radius: 25) [00:15:25] [worker #1] ML tree search #2, logLikelihood: -55725.993579 [00:16:05] [worker #4] ML tree search #5, logLikelihood: -55730.475647 [00:16:06 -60108.503139] SPR radius for FAST iterations: 25 (autodetect) [00:16:06 -60108.503139] Model parameter optimization (eps = 3.000000) [00:16:21 -59890.552794] FAST spr round 1 (radius: 25) [00:16:59 -56072.235060] FAST spr round 2 (radius: 25) [00:17:28 -55779.719949] FAST spr round 3 (radius: 25) [00:17:51 -55761.559992] FAST spr round 4 (radius: 25) [00:18:10 -55755.337129] FAST spr round 5 (radius: 25) [00:18:32 -55746.961738] FAST spr round 6 (radius: 25) [00:18:53 -55740.276354] FAST spr round 7 (radius: 25) [00:19:11 -55740.274200] Model parameter optimization (eps = 1.000000) [00:19:18 -55737.645112] SLOW spr round 1 (radius: 5) [00:19:56 -55726.606597] SLOW spr round 2 (radius: 5) [00:20:31 -55726.604493] SLOW spr round 3 (radius: 10) [00:21:08 -55726.604333] SLOW spr round 4 (radius: 15) 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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM RAxML-NG was called at 03-Jun-2021 15:19:26 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/2_msa/P19438_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438 --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 WARNING: The model you specified on the command line (LG4X) will be ignored since the binary MSA file already contains a model definition. If you want to change the model, please re-run RAxML-NG with the original PHYLIP/FASTA alignment and --redo option. [00:00:00] Loading binary alignment from file: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.rba [00:00:00] Alignment comprises 293 taxa, 1 partitions and 243 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 243 / 243 Gaps: 24.04 % Invariant sites: 0.41 % Parallelization scheme autoconfig: 5 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] NOTE: Resuming execution from checkpoint (logLH: -55726.60, ML trees: 5, bootstraps: 0) [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 243 / 19440 [00:00:00] Data distribution: max. searches per worker: 3 Starting ML tree search with 20 distinct starting trees [00:00:00 -55726.604333] SPR radius for FAST iterations: 25 (autodetect) [00:00:00 -55726.604333] SLOW spr round 4 (radius: 15) [00:01:40 -55726.604303] SLOW spr round 5 (radius: 20) [00:03:28 -55726.604288] SLOW spr round 6 (radius: 25) [00:04:56 -55726.604279] Model parameter optimization (eps = 0.100000) [00:05:00] [worker #0] ML tree search #6, logLikelihood: -55726.567624 [00:05:00 -130928.624655] Initial branch length optimization [00:05:01 -107522.531169] Model parameter optimization (eps = 10.000000) [00:05:20 -107006.294604] AUTODETECT spr round 1 (radius: 5) [00:05:45 -85038.726669] AUTODETECT spr round 2 (radius: 10) [00:06:18 -70083.696436] AUTODETECT spr round 3 (radius: 15) [00:07:12 -61940.568824] AUTODETECT spr round 4 (radius: 20) [00:08:07 -61425.420805] AUTODETECT spr round 5 (radius: 25) [00:09:00 -61375.314067] SPR radius for FAST iterations: 25 (autodetect) [00:09:00 -61375.314067] Model parameter optimization (eps = 3.000000) [00:09:20 -61059.945519] FAST spr round 1 (radius: 25) [00:09:22] [worker #1] ML tree search #7, logLikelihood: -55727.758672 [00:10:05 -56094.205889] FAST spr round 2 (radius: 25) [00:10:39 -55760.716594] FAST spr round 3 (radius: 25) [00:11:04 -55748.553544] FAST spr round 4 (radius: 25) [00:11:25 -55748.533589] Model parameter optimization (eps = 1.000000) [00:11:33 -55746.359448] SLOW spr round 1 (radius: 5) [00:12:18 -55730.250216] SLOW spr round 2 (radius: 5) [00:12:20] [worker #2] ML tree search #8, logLikelihood: -55727.203804 [00:12:58 -55729.370041] SLOW spr round 3 (radius: 5) [00:13:23] [worker #4] ML tree search #10, logLikelihood: -55727.257218 [00:13:37 -55729.080591] SLOW spr round 4 (radius: 5) [00:14:15 -55729.080403] SLOW spr round 5 (radius: 10) [00:14:56 -55729.080395] SLOW spr round 6 (radius: 15) [00:16:33 -55729.080391] SLOW spr round 7 (radius: 20) [00:18:15 -55729.080388] SLOW spr round 8 (radius: 25) [00:19:46 -55729.080386] Model parameter optimization (eps = 0.100000) [00:19:49] [worker #0] ML tree search #11, logLikelihood: -55729.057652 [00:19:49 -131286.939559] Initial branch length optimization [00:19:50 -108010.661155] Model parameter optimization (eps = 10.000000) [00:20:08 -107533.879905] AUTODETECT spr round 1 (radius: 5) [00:20:34 -87386.680069] AUTODETECT spr round 2 (radius: 10) [00:21:09 -67977.002736] AUTODETECT spr round 3 (radius: 15) [00:21:56 -60831.307298] AUTODETECT spr round 4 (radius: 20) [00:22:49 -60362.640732] AUTODETECT spr round 5 (radius: 25) [00:23:32] [worker #1] ML tree search #12, logLikelihood: -55728.573165 [00:23:49 -60350.965451] SPR radius for FAST iterations: 25 (autodetect) [00:23:49 -60350.965451] Model parameter optimization (eps = 3.000000) [00:24:03 -60147.916393] FAST spr round 1 (radius: 25) [00:24:27] [worker #3] ML tree search #9, logLikelihood: -55731.319545 [00:24:42 -55969.927111] FAST spr round 2 (radius: 25) [00:25:12 -55756.665564] FAST spr round 3 (radius: 25) [00:25:38 -55742.609707] FAST spr round 4 (radius: 25) [00:26:00 -55739.681602] FAST spr round 5 (radius: 25) [00:26:21 -55739.680965] Model parameter optimization (eps = 1.000000) [00:26:29 -55735.930925] SLOW spr round 1 (radius: 5) [00:27:12 -55727.049993] SLOW spr round 2 (radius: 5) [00:27:51 -55727.044819] SLOW spr round 3 (radius: 10) [00:27:56] [worker #4] ML tree search #15, logLikelihood: -55730.197632 [00:28:33 -55727.044716] SLOW spr round 4 (radius: 15) [00:30:11 -55727.044706] SLOW spr round 5 (radius: 20) [00:31:53 -55727.044704] SLOW spr round 6 (radius: 25) [00:33:25 -55727.044702] Model parameter optimization (eps = 0.100000) [00:33:29] [worker #0] ML tree search #16, logLikelihood: -55727.011421 [00:37:44] [worker #1] ML tree search #17, logLikelihood: -55727.314299 [00:42:04] [worker #4] ML tree search #20, logLikelihood: -55728.963194 [00:44:35] [worker #2] ML tree search #13, logLikelihood: -55728.808461 [01:02:32] [worker #3] ML tree search #14, logLikelihood: -55728.779876 [01:16:25] [worker #2] ML tree search #18, logLikelihood: -55727.171039 [01:30:15] [worker #3] ML tree search #19, logLikelihood: -55726.231879 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.138446,0.396000) (0.026954,1.336593) (0.396318,0.774014) (0.438282,1.374443) 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: -55725.993579 AIC score: 112629.987159 / AICc score: 807649.987159 / BIC score: 114687.400349 Free parameters (model + branch lengths): 589 WARNING: Number of free parameters (K=589) is larger than alignment size (n=243). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P19438/3_mltree/P19438.raxml.log Analysis started: 03-Jun-2021 15:19:26 / finished: 03-Jun-2021 16:49:41 Elapsed time: 5415.101 seconds (this run) / 6683.534 seconds (total with restarts) Consumed energy: 369.808 Wh (= 2 km in an electric car, or 9 km with an e-scooter!)