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 14:45:57 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/2_msa/Q9UNE0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0 --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/020621_run/phylogeny-snakemake/results/Q9UNE0/2_msa/Q9UNE0_trimmed_msa.fasta [00:00:00] Loaded alignment with 194 taxa and 518 sites WARNING: Sequences tr_Q5EFZ7_Q5EFZ7_CHICK_9031 and tr_G1NPQ1_G1NPQ1_MELGA_9103 are exactly identical! WARNING: Sequences tr_H2QII8_H2QII8_PANTR_9598 and sp_Q9UNE0_EDAR_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2QII8_H2QII8_PANTR_9598 and tr_A0A2R8ZR23_A0A2R8ZR23_PANPA_9597 are exactly identical! WARNING: Sequences tr_F7BGI7_F7BGI7_MACMU_9544 and tr_G7PMX3_G7PMX3_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A2I3MFT5_A0A2I3MFT5_PAPAN_9555 and tr_A0A2K5L9B1_A0A2K5L9B1_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A151NWT4_A0A151NWT4_ALLMI_8496 and tr_A0A1U8DNH5_A0A1U8DNH5_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A091WWB7_A0A091WWB7_NIPNI_128390 and tr_A0A087QVY6_A0A087QVY6_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A091WWB7_A0A091WWB7_NIPNI_128390 and tr_A0A0A0AFA9_A0A0A0AFA9_CHAVO_50402 are exactly identical! WARNING: Duplicate sequences found: 8 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/Q9UNE0/3_mltree/Q9UNE0.raxml.reduced.phy Alignment comprises 1 partitions and 518 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 518 / 518 Gaps: 25.14 % Invariant sites: 0.19 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0.raxml.rba Parallelization scheme autoconfig: 3 worker(s) x 2 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 194 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 259 / 20720 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -132915.369528] Initial branch length optimization [00:00:00 -98983.364030] Model parameter optimization (eps = 10.000000) [00:00:11 -98941.832499] AUTODETECT spr round 1 (radius: 5) [00:00:23 -64094.626362] AUTODETECT spr round 2 (radius: 10) [00:00:41 -50974.757997] AUTODETECT spr round 3 (radius: 15) [00:01:03 -44560.274224] AUTODETECT spr round 4 (radius: 20) [00:01:24 -44331.664431] AUTODETECT spr round 5 (radius: 25) [00:01:43 -44169.186400] SPR radius for FAST iterations: 25 (autodetect) [00:01:43 -44169.186400] Model parameter optimization (eps = 3.000000) [00:01:57 -43837.608946] FAST spr round 1 (radius: 25) [00:02:11 -40095.272990] FAST spr round 2 (radius: 25) [00:02:24 -39914.690813] FAST spr round 3 (radius: 25) [00:02:35 -39897.382634] FAST spr round 4 (radius: 25) [00:02:44 -39896.064867] FAST spr round 5 (radius: 25) [00:02:52 -39896.063785] Model parameter optimization (eps = 1.000000) [00:03:01 -39891.876788] SLOW spr round 1 (radius: 5) [00:03:22 -39888.708752] SLOW spr round 2 (radius: 5) [00:03:41 -39888.708005] SLOW spr round 3 (radius: 10) [00:04:00 -39888.124368] SLOW spr round 4 (radius: 5) [00:04:30 -39887.758685] SLOW spr round 5 (radius: 5) [00:04:55 -39887.758619] SLOW spr round 6 (radius: 10) [00:05:14 -39887.758617] SLOW spr round 7 (radius: 15) [00:05:49 -39887.758617] SLOW spr round 8 (radius: 20) [00:06:29 -39887.758617] SLOW spr round 9 (radius: 25) [00:07:05 -39887.758617] Model parameter optimization (eps = 0.100000) [00:07:06] [worker #1] ML tree search #2, logLikelihood: -39889.817011 [00:07:06] [worker #2] ML tree search #3, logLikelihood: -39886.179388 [00:07:09] [worker #0] ML tree search #1, logLikelihood: -39887.363924 [00:07:09 -131289.006225] Initial branch length optimization [00:07:10 -98790.375378] Model parameter optimization (eps = 10.000000) [00:07:22 -98760.416765] AUTODETECT spr round 1 (radius: 5) [00:07:34 -61016.415968] AUTODETECT spr round 2 (radius: 10) [00:07:51 -47008.744357] AUTODETECT spr round 3 (radius: 15) [00:08:13 -44855.527256] AUTODETECT spr round 4 (radius: 20) [00:08:34 -44414.588735] AUTODETECT spr round 5 (radius: 25) [00:08:57 -44414.573255] SPR radius for FAST iterations: 20 (autodetect) [00:08:57 -44414.573255] Model parameter optimization (eps = 3.000000) [00:09:11 -44130.723027] FAST spr round 1 (radius: 20) [00:09:28 -40029.174805] FAST spr round 2 (radius: 20) [00:09:41 -39913.121987] FAST spr round 3 (radius: 20) [00:09:51 -39908.008459] FAST spr round 4 (radius: 20) [00:10:00 -39906.893122] FAST spr round 5 (radius: 20) [00:10:09 -39906.892937] Model parameter optimization (eps = 1.000000) [00:10:18 -39899.884952] SLOW spr round 1 (radius: 5) [00:10:40 -39892.498291] SLOW spr round 2 (radius: 5) [00:11:00 -39890.874419] SLOW spr round 3 (radius: 5) [00:11:19 -39890.181270] SLOW spr round 4 (radius: 5) [00:11:38 -39890.181044] SLOW spr round 5 (radius: 10) [00:11:57 -39887.226644] SLOW spr round 6 (radius: 5) [00:12:27 -39887.226404] SLOW spr round 7 (radius: 10) [00:12:50 -39887.226396] SLOW spr round 8 (radius: 15) [00:12:55] [worker #2] ML tree search #6, logLikelihood: -39891.132011 [00:13:24 -39887.226396] SLOW spr round 9 (radius: 20) [00:13:54] [worker #1] ML tree search #5, logLikelihood: -39887.557128 [00:14:06 -39887.226396] SLOW spr round 10 (radius: 25) [00:14:40 -39887.226396] Model parameter optimization (eps = 0.100000) [00:14:44] [worker #0] ML tree search #4, logLikelihood: -39886.860180 [00:14:44 -130175.928897] Initial branch length optimization [00:14:45 -96702.878761] Model parameter optimization (eps = 10.000000) [00:14:55 -96684.471340] AUTODETECT spr round 1 (radius: 5) [00:15:07 -60662.830070] AUTODETECT spr round 2 (radius: 10) [00:15:25 -46526.052560] AUTODETECT spr round 3 (radius: 15) [00:15:46 -42730.202114] AUTODETECT spr round 4 (radius: 20) [00:16:07 -42629.228314] AUTODETECT spr round 5 (radius: 25) [00:16:28 -42573.163235] SPR radius for FAST iterations: 25 (autodetect) [00:16:28 -42573.163235] Model parameter optimization (eps = 3.000000) [00:16:41 -42309.377643] FAST spr round 1 (radius: 25) [00:16:59 -40025.068257] FAST spr round 2 (radius: 25) [00:17:14 -39899.311770] FAST spr round 3 (radius: 25) [00:17:24 -39897.989264] FAST spr round 4 (radius: 25) [00:17:33 -39897.064989] FAST spr round 5 (radius: 25) [00:17:42 -39897.064775] Model parameter optimization (eps = 1.000000) [00:17:48 -39894.296566] SLOW spr round 1 (radius: 5) [00:18:10 -39891.008525] SLOW spr round 2 (radius: 5) [00:18:29 -39891.006809] SLOW spr round 3 (radius: 10) [00:18:47 -39890.913177] SLOW spr round 4 (radius: 15) [00:19:22 -39890.913140] SLOW spr round 5 (radius: 20) [00:19:24] [worker #2] ML tree search #9, logLikelihood: -39885.223005 [00:19:43] [worker #1] ML tree search #8, logLikelihood: -39885.308010 [00:20:02 -39890.913138] SLOW spr round 6 (radius: 25) [00:20:38 -39890.913138] Model parameter optimization (eps = 0.100000) [00:20:40] [worker #0] ML tree search #7, logLikelihood: -39890.887072 [00:20:40 -136366.429813] Initial branch length optimization [00:20:40 -100430.707591] Model parameter optimization (eps = 10.000000) [00:20:50 -100409.977856] AUTODETECT spr round 1 (radius: 5) [00:21:03 -61793.648617] AUTODETECT spr round 2 (radius: 10) [00:21:22 -46246.613061] AUTODETECT spr round 3 (radius: 15) [00:21:43 -42841.247635] AUTODETECT spr round 4 (radius: 20) [00:22:05 -42716.809375] AUTODETECT spr round 5 (radius: 25) [00:22:21 -42716.763184] SPR radius for FAST iterations: 20 (autodetect) [00:22:21 -42716.763184] Model parameter optimization (eps = 3.000000) [00:22:36 -42409.188540] FAST spr round 1 (radius: 20) [00:22:54 -39966.760852] FAST spr round 2 (radius: 20) [00:23:06 -39907.787662] FAST spr round 3 (radius: 20) [00:23:16 -39900.876908] FAST spr round 4 (radius: 20) [00:23:25 -39900.876408] Model parameter optimization (eps = 1.000000) [00:23:34 -39894.508495] SLOW spr round 1 (radius: 5) [00:23:55 -39886.263874] SLOW spr round 2 (radius: 5) [00:24:14 -39886.262202] SLOW spr round 3 (radius: 10) [00:24:33 -39886.262084] SLOW spr round 4 (radius: 15) [00:25:08 -39886.262072] SLOW spr round 5 (radius: 20) [00:25:48 -39886.262071] SLOW spr round 6 (radius: 25) [00:26:14] [worker #2] ML tree search #12, logLikelihood: -39884.872650 [00:26:20] [worker #1] ML tree search #11, logLikelihood: -39886.686902 [00:26:24 -39886.262070] Model parameter optimization (eps = 0.100000) [00:26:27] [worker #0] ML tree search #10, logLikelihood: -39886.163490 [00:26:27 -134026.377455] Initial branch length optimization [00:26:28 -99905.114418] Model parameter optimization (eps = 10.000000) [00:26:42 -99857.411984] AUTODETECT spr round 1 (radius: 5) [00:26:55 -64654.020976] AUTODETECT spr round 2 (radius: 10) [00:27:12 -48664.570743] AUTODETECT spr round 3 (radius: 15) [00:27:31 -44091.833242] AUTODETECT spr round 4 (radius: 20) [00:27:50 -43982.023646] AUTODETECT spr round 5 (radius: 25) [00:28:11 -43882.365880] SPR radius for FAST iterations: 25 (autodetect) [00:28:11 -43882.365880] Model parameter optimization (eps = 3.000000) [00:28:26 -43583.052936] FAST spr round 1 (radius: 25) [00:28:42 -39946.223968] FAST spr round 2 (radius: 25) [00:28:56 -39907.871237] FAST spr round 3 (radius: 25) [00:29:06 -39899.600647] FAST spr round 4 (radius: 25) [00:29:15 -39899.599430] Model parameter optimization (eps = 1.000000) [00:29:22 -39894.964380] SLOW spr round 1 (radius: 5) [00:29:43 -39888.316324] SLOW spr round 2 (radius: 5) [00:30:02 -39888.315656] SLOW spr round 3 (radius: 10) [00:30:21 -39888.315646] 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/Q9UNE0/2_msa/Q9UNE0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0 --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 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/Q9UNE0/3_mltree/Q9UNE0.raxml.rba [00:00:00] Alignment comprises 194 taxa, 1 partitions and 518 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 518 / 518 Gaps: 25.14 % Invariant sites: 0.19 % Parallelization scheme autoconfig: 3 worker(s) x 2 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] NOTE: Resuming execution from checkpoint (logLH: -39888.32, ML trees: 12, bootstraps: 0) [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 259 / 20720 [00:00:00] Data distribution: max. searches per worker: 3 Starting ML tree search with 20 distinct starting trees [00:00:00 -39888.315646] SPR radius for FAST iterations: 25 (autodetect) [00:00:00 -39888.315646] SLOW spr round 4 (radius: 15) [00:01:17 -39888.315646] SLOW spr round 5 (radius: 20) [00:02:42 -39888.315646] SLOW spr round 6 (radius: 25) [00:03:58 -39888.315646] Model parameter optimization (eps = 0.100000) [00:04:02] [worker #0] ML tree search #13, logLikelihood: -39888.216700 [00:04:02 -133746.584395] Initial branch length optimization [00:04:04 -99637.142502] Model parameter optimization (eps = 10.000000) [00:04:07] [worker #2] ML tree search #15, logLikelihood: -39888.595751 [00:04:30 -99600.123732] AUTODETECT spr round 1 (radius: 5) [00:04:54 -62688.504616] AUTODETECT spr round 2 (radius: 10) [00:05:28 -48646.946493] AUTODETECT spr round 3 (radius: 15) [00:06:15 -45033.832931] AUTODETECT spr round 4 (radius: 20) [00:06:24] [worker #1] ML tree search #14, logLikelihood: -39886.163066 [00:07:07 -44793.611722] AUTODETECT spr round 5 (radius: 25) [00:07:53 -44793.582648] SPR radius for FAST iterations: 20 (autodetect) [00:07:53 -44793.582648] Model parameter optimization (eps = 3.000000) [00:08:19 -44459.112814] FAST spr round 1 (radius: 20) [00:09:02 -40075.992504] FAST spr round 2 (radius: 20) [00:09:35 -39910.353874] FAST spr round 3 (radius: 20) [00:09:57 -39906.085614] FAST spr round 4 (radius: 20) [00:10:16 -39906.085196] Model parameter optimization (eps = 1.000000) [00:10:32 -39898.020238] SLOW spr round 1 (radius: 5) [00:11:20 -39888.629969] SLOW spr round 2 (radius: 5) [00:12:00 -39888.629221] SLOW spr round 3 (radius: 10) [00:12:39 -39888.629172] SLOW spr round 4 (radius: 15) [00:13:55 -39888.629168] SLOW spr round 5 (radius: 20) [00:15:19 -39888.629168] SLOW spr round 6 (radius: 25) [00:16:35 -39888.629168] Model parameter optimization (eps = 0.100000) [00:16:41] [worker #0] ML tree search #16, logLikelihood: -39888.595285 [00:16:41 -131962.342142] Initial branch length optimization [00:16:43 -97585.269593] Model parameter optimization (eps = 10.000000) [00:17:01] [worker #2] ML tree search #18, logLikelihood: -39887.210739 [00:17:06 -97556.387479] AUTODETECT spr round 1 (radius: 5) [00:17:32 -64137.347152] AUTODETECT spr round 2 (radius: 10) [00:18:08 -45877.578910] AUTODETECT spr round 3 (radius: 15) [00:18:56 -43845.116435] AUTODETECT spr round 4 (radius: 20) [00:19:46 -43824.463076] AUTODETECT spr round 5 (radius: 25) [00:20:36 -43806.136687] SPR radius for FAST iterations: 25 (autodetect) [00:20:36 -43806.136687] Model parameter optimization (eps = 3.000000) [00:21:04 -43490.648266] FAST spr round 1 (radius: 25) [00:21:44 -40051.819606] FAST spr round 2 (radius: 25) [00:22:06] [worker #1] ML tree search #17, logLikelihood: -39887.904656 [00:22:17 -39908.839075] FAST spr round 3 (radius: 25) [00:22:44 -39894.459110] FAST spr round 4 (radius: 25) [00:23:04 -39894.458970] Model parameter optimization (eps = 1.000000) [00:23:23 -39890.398995] SLOW spr round 1 (radius: 5) [00:24:09 -39885.514096] SLOW spr round 2 (radius: 5) [00:24:52 -39885.513288] SLOW spr round 3 (radius: 10) [00:25:33 -39885.513266] SLOW spr round 4 (radius: 15) [00:26:53 -39885.513265] SLOW spr round 5 (radius: 20) [00:28:21 -39885.513265] SLOW spr round 6 (radius: 25) [00:29:36 -39885.513265] Model parameter optimization (eps = 0.100000) [00:29:47] [worker #0] ML tree search #19, logLikelihood: -39885.223674 [00:34:40] [worker #1] ML tree search #20, logLikelihood: -39890.844653 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.148733,0.445776) (0.082821,1.503741) (0.439491,0.665482) (0.328954,1.570684) 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: -39884.872650 AIC score: 80551.745299 / AICc score: 82984.634188 / BIC score: 82213.485619 Free parameters (model + branch lengths): 391 Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q9UNE0/3_mltree/Q9UNE0.raxml.log Analysis started: 03-Jun-2021 15:19:26 / finished: 03-Jun-2021 15:54:06 Elapsed time: 2080.079 seconds (this run) / 3901.534 seconds (total with restarts) Consumed energy: 241.849 Wh (= 1 km in an electric car, or 6 km with an e-scooter!)