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 22:24:59 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/2_msa/P49019_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/3_mltree/P49019 --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/P49019/2_msa/P49019_trimmed_msa.fasta [00:00:00] Loaded alignment with 585 taxa and 359 sites WARNING: Sequences tr_A0A2R8RHH7_A0A2R8RHH7_DANRE_7955 and tr_E7FDY9_E7FDY9_DANRE_7955 are exactly identical! WARNING: Sequences tr_A0A2J8VLW0_A0A2J8VLW0_PONAB_9601 and tr_H2QIP2_H2QIP2_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2J8VLW0_A0A2J8VLW0_PONAB_9601 and tr_A0A2R9AB77_A0A2R9AB77_PANPA_9597 are exactly identical! WARNING: Sequences tr_G2HJ56_G2HJ56_PANTR_9598 and tr_A0A2R8ZEB9_A0A2R8ZEB9_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2Q8W1_H2Q8W1_PANTR_9598 and tr_A0A2R9AXX3_A0A2R9AXX3_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q8TDS5_OXER1_HUMAN_9606 and tr_A0A2R8ZIX0_A0A2R8ZIX0_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5QR05_A0A1D5QR05_MACMU_9544 and tr_G7PJ85_G7PJ85_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7HM53_F7HM53_MACMU_9544 and tr_G7PLG8_G7PLG8_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A096ML30_A0A096ML30_PAPAN_9555 and tr_A0A2K5L152_A0A2K5L152_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096ML30_A0A096ML30_PAPAN_9555 and tr_A0A2K5XEI4_A0A2K5XEI4_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A096MNR1_A0A096MNR1_PAPAN_9555 and tr_A0A2K6AP74_A0A2K6AP74_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A096N5Q6_A0A096N5Q6_PAPAN_9555 and tr_A0A2K5L9R6_A0A2K5L9R6_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A087QIL1_A0A087QIL1_APTFO_9233 and tr_A0A0A0AE57_A0A0A0AE57_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A226N4C3_A0A226N4C3_CALSU_9009 and tr_A0A226PZE1_A0A226PZE1_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2D0Q4C6_A0A2D0Q4C6_ICTPU_7998 and tr_A0A2D0Q5J0_A0A2D0Q5J0_ICTPU_7998 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/P49019/3_mltree/P49019.raxml.reduced.phy Alignment comprises 1 partitions and 359 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 359 / 359 Gaps: 13.07 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/3_mltree/P49019.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 585 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 359 / 28720 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -426179.560945] Initial branch length optimization [00:00:08 -355197.893490] Model parameter optimization (eps = 10.000000) [00:01:17 -353547.000645] AUTODETECT spr round 1 (radius: 5) [00:03:10 -260522.899128] AUTODETECT spr round 2 (radius: 10) [00:05:22 -196017.374371] AUTODETECT spr round 3 (radius: 15) [00:08:02 -159042.250085] AUTODETECT spr round 4 (radius: 20) [00:11:36 -155203.923773] AUTODETECT spr round 5 (radius: 25) [00:16:07 -154193.121600] SPR radius for FAST iterations: 25 (autodetect) [00:16:07 -154193.121600] Model parameter optimization (eps = 3.000000) [00:16:38 -153957.211541] FAST spr round 1 (radius: 25) [00:19:01 -134862.898476] FAST spr round 2 (radius: 25) [00:20:38 -133914.838088] FAST spr round 3 (radius: 25) [00:21:55 -133902.640571] FAST spr round 4 (radius: 25) [00:23:05 -133902.640385] Model parameter optimization (eps = 1.000000) [00:23:20 -133895.587321] SLOW spr round 1 (radius: 5) [00:25:30 -133861.000941] SLOW spr round 2 (radius: 5) [00:27:30 -133850.377098] SLOW spr round 3 (radius: 5) [00:29:24 -133849.084487] SLOW spr round 4 (radius: 5) [00:31:12 -133849.084001] SLOW spr round 5 (radius: 10) [00:33:13 -133847.348967] SLOW spr round 6 (radius: 5) [00:35:54 -133846.941423] SLOW spr round 7 (radius: 5) [00:38:08 -133846.178758] SLOW spr round 8 (radius: 5) [00:40:06 -133846.178745] SLOW spr round 9 (radius: 10) [00:42:07 -133846.178742] SLOW spr round 10 (radius: 15) [00:46:23 -133846.178741] SLOW spr round 11 (radius: 20) [00:53:19] [worker #3] ML tree search #4, logLikelihood: -133846.229255 [00:53:47 -133846.178741] SLOW spr round 12 (radius: 25) [00:54:02] [worker #4] ML tree search #5, logLikelihood: -133839.290074 [01:01:32 -133846.178741] Model parameter optimization (eps = 0.100000) [01:01:37] [worker #0] ML tree search #1, logLikelihood: -133846.085155 [01:01:37 -428905.815213] Initial branch length optimization [01:01:46 -356666.955656] Model parameter optimization (eps = 10.000000) [01:02:09] [worker #2] ML tree search #3, logLikelihood: -133842.281191 [01:02:34] [worker #1] ML tree search #2, logLikelihood: -133839.961461 [01:02:41 -355199.171546] AUTODETECT spr round 1 (radius: 5) [01:04:34 -254230.226328] AUTODETECT spr round 2 (radius: 10) [01:06:48 -185860.705877] AUTODETECT spr round 3 (radius: 15) [01:09:25 -155198.377682] AUTODETECT spr round 4 (radius: 20) [01:12:58 -150219.516121] AUTODETECT spr round 5 (radius: 25) [01:16:48 -149568.538928] SPR radius for FAST iterations: 25 (autodetect) [01:16:48 -149568.538928] Model parameter optimization (eps = 3.000000) [01:17:22 -149344.911831] FAST spr round 1 (radius: 25) [01:19:43 -134510.004323] FAST spr round 2 (radius: 25) [01:21:25 -133922.561622] FAST spr round 3 (radius: 25) [01:22:51 -133873.547752] FAST spr round 4 (radius: 25) [01:24:04 -133873.175963] FAST spr round 5 (radius: 25) [01:25:13 -133873.175953] Model parameter optimization (eps = 1.000000) [01:25:26 -133870.712787] SLOW spr round 1 (radius: 5) [01:27:36 -133841.316535] SLOW spr round 2 (radius: 5) [01:29:31 -133841.314555] SLOW spr round 3 (radius: 10) [01:31:33 -133841.314349] SLOW spr round 4 (radius: 15) [01:36:08 -133841.314324] SLOW spr round 5 (radius: 20) [01:43:45 -133841.314321] SLOW spr round 6 (radius: 25) [01:49:48] [worker #4] ML tree search #10, logLikelihood: -133854.556363 [01:51:34 -133841.314320] Model parameter optimization (eps = 0.100000) [01:51:40] [worker #0] ML tree search #6, logLikelihood: -133841.297277 [01:51:40 -429079.446298] Initial branch length optimization [01:51:47 -356778.652351] Model parameter optimization (eps = 10.000000) [01:52:48 -355300.100769] AUTODETECT spr round 1 (radius: 5) [01:54:41 -257759.135184] AUTODETECT spr round 2 (radius: 10) [01:54:48] [worker #3] ML tree search #9, logLikelihood: -133852.069923 [01:56:57 -187581.292734] AUTODETECT spr round 3 (radius: 15) [01:58:16] [worker #2] ML tree search #8, logLikelihood: -133851.036201 [01:59:33 -153804.819431] AUTODETECT spr round 4 (radius: 20) [02:02:35] [worker #1] ML tree search #7, logLikelihood: -133838.685621 [02:03:20 -150839.992643] AUTODETECT spr round 5 (radius: 25) [02:07:53 -150283.592130] SPR radius for FAST iterations: 25 (autodetect) [02:07:53 -150283.592130] Model parameter optimization (eps = 3.000000) [02:08:25 -149951.011825] FAST spr round 1 (radius: 25) [02:10:55 -134645.724858] FAST spr round 2 (radius: 25) [02:12:33 -133951.414156] FAST spr round 3 (radius: 25) [02:13:57 -133902.662518] FAST spr round 4 (radius: 25) [02:15:11 -133897.398721] FAST spr round 5 (radius: 25) [02:16:20 -133897.398293] Model parameter optimization (eps = 1.000000) [02:16:33 -133893.276350] SLOW spr round 1 (radius: 5) [02:18:44 -133865.437801] SLOW spr round 2 (radius: 5) [02:20:40 -133864.014408] SLOW spr round 3 (radius: 5) [02:22:33 -133862.138825] SLOW spr round 4 (radius: 5) [02:24:32 -133846.417867] SLOW spr round 5 (radius: 5) [02:26:21 -133846.416363] SLOW spr round 6 (radius: 10) [02:28:24 -133844.732304] SLOW spr round 7 (radius: 5) [02:31:08 -133844.292927] SLOW spr round 8 (radius: 5) [02:33:24 -133843.530733] SLOW spr round 9 (radius: 5) [02:35:24 -133843.530724] SLOW spr round 10 (radius: 10) [02:37:28 -133843.530721] SLOW spr round 11 (radius: 15) [02:41:54] [worker #4] ML tree search #15, logLikelihood: -133847.172748 [02:41:56 -133843.530720] SLOW spr round 12 (radius: 20) [02:49:39 -133843.530719] SLOW spr round 13 (radius: 25) [02:55:06] [worker #2] ML tree search #13, logLikelihood: -133857.304996 [02:57:19 -133843.530719] Model parameter optimization (eps = 0.100000) [02:57:30] [worker #0] ML tree search #11, logLikelihood: -133843.420779 [02:57:30 -430414.262443] Initial branch length optimization [02:57:37 -357318.782800] Model parameter optimization (eps = 10.000000) [02:58:30 -355858.889749] AUTODETECT spr round 1 (radius: 5) [02:59:01] [worker #1] ML tree search #12, logLikelihood: -133842.456244 [02:59:54] [worker #3] ML tree search #14, logLikelihood: -133854.631857 [03:00:24 -259728.749975] AUTODETECT spr round 2 (radius: 10) [03:02:39 -202374.925934] AUTODETECT spr round 3 (radius: 15) [03:05:20 -162182.824468] AUTODETECT spr round 4 (radius: 20) [03:09:15 -155355.532916] AUTODETECT spr round 5 (radius: 25) [03:13:44 -154392.199767] SPR radius for FAST iterations: 25 (autodetect) [03:13:44 -154392.199767] Model parameter optimization (eps = 3.000000) [03:14:18 -154049.142995] FAST spr round 1 (radius: 25) [03:16:40 -134608.290013] FAST spr round 2 (radius: 25) [03:18:22 -133940.815564] FAST spr round 3 (radius: 25) [03:19:51 -133896.724021] FAST spr round 4 (radius: 25) [03:21:05 -133890.648773] FAST spr round 5 (radius: 25) [03:22:16 -133886.269992] FAST spr round 6 (radius: 25) [03:23:26 -133881.130168] FAST spr round 7 (radius: 25) [03:24:37 -133876.462872] FAST spr round 8 (radius: 25) [03:25:44 -133876.462831] Model parameter optimization (eps = 1.000000) [03:26:00 -133868.611471] SLOW spr round 1 (radius: 5) [03:28:06 -133841.826189] SLOW spr round 2 (radius: 5) [03:30:01 -133841.594612] SLOW spr round 3 (radius: 5) [03:31:51 -133841.593658] SLOW spr round 4 (radius: 10) [03:33:54 -133839.657172] SLOW spr round 5 (radius: 5) [03:36:34 -133839.656875] SLOW spr round 6 (radius: 10) [03:38:57 -133839.656845] SLOW spr round 7 (radius: 15) [03:43:03 -133839.656836] SLOW spr round 8 (radius: 20) [03:48:05] [worker #4] ML tree search #20, logLikelihood: -133840.485110 [03:48:11] [worker #2] ML tree search #18, logLikelihood: -133841.329334 [03:50:48 -133839.656833] SLOW spr round 9 (radius: 25) [03:58:22 -133839.656832] Model parameter optimization (eps = 0.100000) [03:58:29] [worker #0] ML tree search #16, logLikelihood: -133839.604261 [04:01:22] [worker #1] ML tree search #17, logLikelihood: -133841.187190 [04:01:35] [worker #3] ML tree search #19, logLikelihood: -133833.536558 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.165835,0.442238) (0.181253,0.857013) (0.366282,0.773221) (0.286629,1.702925) 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: -133833.536558 AIC score: 270013.073116 / AICc score: 3024217.073116 / BIC score: 274568.210277 Free parameters (model + branch lengths): 1173 WARNING: Number of free parameters (K=1173) is larger than alignment size (n=359). 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/P49019/3_mltree/P49019.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/3_mltree/P49019.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/3_mltree/P49019.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P49019/3_mltree/P49019.raxml.log Analysis started: 04-Jul-2021 22:24:59 / finished: 05-Jul-2021 02:26:34 Elapsed time: 14495.603 seconds Consumed energy: 1280.645 Wh (= 6 km in an electric car, or 32 km with an e-scooter!)