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 02-Jul-2021 17:10:48 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/2_msa/Q8NGX2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/3_mltree/Q8NGX2 --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/Q8NGX2/2_msa/Q8NGX2_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 262 sites WARNING: Sequences tr_G3HIS3_G3HIS3_CRIGR_10029 and tr_G3ICI3_G3ICI3_CRIGR_10029 are exactly identical! WARNING: Sequences tr_H2QF90_H2QF90_PANTR_9598 and tr_A0A2R8ZKU8_A0A2R8ZKU8_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2R7X6_H2R7X6_PANTR_9598 and tr_A0A2R9B0U7_A0A2R9B0U7_PANPA_9597 are exactly identical! WARNING: Sequences tr_F6V0S2_F6V0S2_HORSE_9796 and tr_F6XDI0_F6XDI0_HORSE_9796 are exactly identical! WARNING: Sequences sp_Q6IEZ7_OR2T5_HUMAN_9606 and sp_Q8NH02_O2T29_HUMAN_9606 are exactly identical! WARNING: Sequences tr_F6QRL4_F6QRL4_MACMU_9544 and tr_A0A2K5LHM6_A0A2K5LHM6_CERAT_9531 are exactly identical! WARNING: Sequences tr_F6QRX6_F6QRX6_MACMU_9544 and tr_G7NVK5_G7NVK5_MACFA_9541 are exactly identical! WARNING: Sequences tr_G7MFG3_G7MFG3_MACMU_9544 and tr_G8F644_G8F644_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A286ZX75_A0A286ZX75_PIG_9823 and tr_I3LR61_I3LR61_PIG_9823 are exactly identical! WARNING: Sequences tr_G7NVL2_G7NVL2_MACFA_9541 and tr_A0A2K6BY99_A0A2K6BY99_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2K5NTL9_A0A2K5NTL9_CERAT_9531 and tr_A0A2K6AN20_A0A2K6AN20_MACNE_9545 are exactly identical! WARNING: Duplicate sequences found: 11 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/Q8NGX2/3_mltree/Q8NGX2.raxml.reduced.phy Alignment comprises 1 partitions and 262 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 262 / 262 Gaps: 0.29 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/3_mltree/Q8NGX2.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 1001 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 262 / 20960 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -355072.815137] Initial branch length optimization [00:00:06 -310739.785277] Model parameter optimization (eps = 10.000000) [00:01:12 -309907.402161] AUTODETECT spr round 1 (radius: 5) [00:04:54 -209129.583034] AUTODETECT spr round 2 (radius: 10) [00:09:00 -150337.781165] AUTODETECT spr round 3 (radius: 15) [00:13:32 -121775.178337] AUTODETECT spr round 4 (radius: 20) [00:20:01 -111290.386815] AUTODETECT spr round 5 (radius: 25) [00:26:33 -110191.243730] SPR radius for FAST iterations: 25 (autodetect) [00:26:33 -110191.243730] Model parameter optimization (eps = 3.000000) [00:27:02 -110110.727942] FAST spr round 1 (radius: 25) [00:30:33 -93631.537431] FAST spr round 2 (radius: 25) [00:33:22 -92606.077832] FAST spr round 3 (radius: 25) [00:35:56 -92538.354411] FAST spr round 4 (radius: 25) [00:38:21 -92523.519201] FAST spr round 5 (radius: 25) [00:40:41 -92517.603308] FAST spr round 6 (radius: 25) [00:42:54 -92516.920179] FAST spr round 7 (radius: 25) [00:45:08 -92513.317716] FAST spr round 8 (radius: 25) [00:47:21 -92508.501518] FAST spr round 9 (radius: 25) [00:49:32 -92506.811771] FAST spr round 10 (radius: 25) [00:51:42 -92506.811767] Model parameter optimization (eps = 1.000000) [00:52:06 -92503.374212] SLOW spr round 1 (radius: 5) [00:55:24 -92465.618688] SLOW spr round 2 (radius: 5) [00:58:39 -92463.349669] SLOW spr round 3 (radius: 5) [01:01:43 -92463.349144] SLOW spr round 4 (radius: 10) [01:04:49 -92463.349138] SLOW spr round 5 (radius: 15) [01:10:33 -92463.349137] SLOW spr round 6 (radius: 20) [01:21:28 -92463.349137] SLOW spr round 7 (radius: 25) [01:35:32] [worker #3] ML tree search #4, logLikelihood: -92463.379510 [01:36:04] [worker #4] ML tree search #5, logLikelihood: -92450.848850 [01:36:23 -92463.349137] Model parameter optimization (eps = 0.100000) [01:36:42] [worker #0] ML tree search #1, logLikelihood: -92462.347803 [01:36:42 -354050.324426] Initial branch length optimization [01:36:47 -309439.798880] Model parameter optimization (eps = 10.000000) [01:37:57 -308660.346582] AUTODETECT spr round 1 (radius: 5) [01:40:08] [worker #1] ML tree search #2, logLikelihood: -92458.840471 [01:41:40 -217928.295396] AUTODETECT spr round 2 (radius: 10) [01:45:41] [worker #2] ML tree search #3, logLikelihood: -92461.150930 [01:45:55 -144251.860201] AUTODETECT spr round 3 (radius: 15) [01:50:43 -123229.576228] AUTODETECT spr round 4 (radius: 20) [01:56:33 -120209.353206] AUTODETECT spr round 5 (radius: 25) [02:03:46 -111570.112357] SPR radius for FAST iterations: 25 (autodetect) [02:03:46 -111570.112357] Model parameter optimization (eps = 3.000000) [02:04:14 -111500.415155] FAST spr round 1 (radius: 25) [02:07:54 -93812.867376] FAST spr round 2 (radius: 25) [02:10:54 -92568.596936] FAST spr round 3 (radius: 25) [02:13:37 -92522.283014] FAST spr round 4 (radius: 25) [02:16:02 -92513.935715] FAST spr round 5 (radius: 25) [02:18:17 -92512.134675] FAST spr round 6 (radius: 25) [02:20:30 -92510.475949] FAST spr round 7 (radius: 25) [02:22:41 -92510.475949] Model parameter optimization (eps = 1.000000) [02:22:58 -92506.709650] SLOW spr round 1 (radius: 5) [02:26:30 -92473.506690] SLOW spr round 2 (radius: 5) [02:29:51 -92464.529004] SLOW spr round 3 (radius: 5) [02:32:54 -92464.528947] SLOW spr round 4 (radius: 10) [02:36:06 -92453.998897] SLOW spr round 5 (radius: 5) [02:40:16 -92437.598367] SLOW spr round 6 (radius: 5) [02:43:45 -92437.598323] SLOW spr round 7 (radius: 10) [02:46:58 -92437.598323] SLOW spr round 8 (radius: 15) [02:52:18 -92437.598323] SLOW spr round 9 (radius: 20) [03:03:04 -92437.598323] SLOW spr round 10 (radius: 25) [03:17:23] [worker #2] ML tree search #8, logLikelihood: -92447.586661 [03:17:33 -92437.598323] Model parameter optimization (eps = 0.100000) [03:17:43] [worker #0] ML tree search #6, logLikelihood: -92437.477486 [03:17:43 -355108.520765] Initial branch length optimization [03:17:48 -310751.332754] Model parameter optimization (eps = 10.000000) [03:18:39] [worker #1] ML tree search #7, logLikelihood: -92450.820505 [03:19:19 -309915.811598] AUTODETECT spr round 1 (radius: 5) [03:22:55 -212585.973177] AUTODETECT spr round 2 (radius: 10) [03:23:58] [worker #3] ML tree search #9, logLikelihood: -92452.945183 [03:26:55] [worker #4] ML tree search #10, logLikelihood: -92442.808625 [03:27:10 -140493.454189] AUTODETECT spr round 3 (radius: 15) [03:31:30 -115218.513111] AUTODETECT spr round 4 (radius: 20) [03:37:59 -108929.463001] AUTODETECT spr round 5 (radius: 25) [03:45:15 -108676.396283] SPR radius for FAST iterations: 25 (autodetect) [03:45:15 -108676.396283] Model parameter optimization (eps = 3.000000) [03:45:46 -108612.794370] FAST spr round 1 (radius: 25) [03:49:22 -93349.023321] FAST spr round 2 (radius: 25) [03:52:17 -92609.912846] FAST spr round 3 (radius: 25) [03:54:58 -92508.749729] FAST spr round 4 (radius: 25) [03:57:21 -92494.502228] FAST spr round 5 (radius: 25) [03:59:44 -92485.145371] FAST spr round 6 (radius: 25) [04:01:57 -92484.652866] FAST spr round 7 (radius: 25) [04:04:09 -92484.652855] Model parameter optimization (eps = 1.000000) [04:04:30 -92479.925590] SLOW spr round 1 (radius: 5) [04:07:53 -92459.201416] SLOW spr round 2 (radius: 5) [04:11:05 -92458.586976] SLOW spr round 3 (radius: 5) [04:14:09 -92458.586952] SLOW spr round 4 (radius: 10) [04:17:17 -92458.457302] SLOW spr round 5 (radius: 5) [04:21:21 -92452.713163] SLOW spr round 6 (radius: 5) [04:24:51 -92449.363091] SLOW spr round 7 (radius: 5) [04:28:04 -92449.363074] SLOW spr round 8 (radius: 10) [04:31:13 -92449.363073] SLOW spr round 9 (radius: 15) [04:36:57 -92449.363073] SLOW spr round 10 (radius: 20) [04:48:12 -92449.363073] SLOW spr round 11 (radius: 25) [04:58:22] [worker #1] ML tree search #12, logLikelihood: -92476.492380 [05:02:52 -92449.363073] Model parameter optimization (eps = 0.100000) [05:03:04] [worker #0] ML tree search #11, logLikelihood: -92449.257233 [05:03:04 -353766.474833] Initial branch length optimization [05:03:10 -309500.297733] Model parameter optimization (eps = 10.000000) [05:04:18 -308694.328332] AUTODETECT spr round 1 (radius: 5) [05:05:17] [worker #2] ML tree search #13, logLikelihood: -92470.920185 [05:06:44] [worker #4] ML tree search #15, logLikelihood: -92486.925732 [05:07:56 -211625.057355] AUTODETECT spr round 2 (radius: 10) [05:09:52] [worker #3] ML tree search #14, logLikelihood: -92447.070122 [05:12:06 -143006.245283] AUTODETECT spr round 3 (radius: 15) [05:16:22 -119550.219259] AUTODETECT spr round 4 (radius: 20) [05:22:19 -109533.764264] AUTODETECT spr round 5 (radius: 25) [05:29:25 -108403.707486] SPR radius for FAST iterations: 25 (autodetect) [05:29:25 -108403.707486] Model parameter optimization (eps = 3.000000) [05:30:08 -108323.248266] FAST spr round 1 (radius: 25) [05:33:42 -93303.832740] FAST spr round 2 (radius: 25) [05:36:33 -92583.032732] FAST spr round 3 (radius: 25) [05:39:13 -92526.173421] FAST spr round 4 (radius: 25) [05:41:38 -92504.551803] FAST spr round 5 (radius: 25) [05:43:57 -92494.406449] FAST spr round 6 (radius: 25) [05:46:11 -92492.819692] FAST spr round 7 (radius: 25) [05:48:23 -92492.819445] Model parameter optimization (eps = 1.000000) [05:48:44 -92486.934495] SLOW spr round 1 (radius: 5) [05:52:10 -92463.879382] SLOW spr round 2 (radius: 5) [05:55:26 -92462.818096] SLOW spr round 3 (radius: 5) [05:58:31 -92462.817497] SLOW spr round 4 (radius: 10) [06:01:44 -92460.160561] SLOW spr round 5 (radius: 5) [06:05:47 -92459.926972] SLOW spr round 6 (radius: 5) [06:09:15 -92459.926879] SLOW spr round 7 (radius: 10) [06:12:30 -92457.956085] SLOW spr round 8 (radius: 5) [06:16:26 -92456.978571] SLOW spr round 9 (radius: 5) [06:19:53 -92456.978390] SLOW spr round 10 (radius: 10) [06:23:08 -92456.978381] SLOW spr round 11 (radius: 15) [06:28:34 -92456.978381] SLOW spr round 12 (radius: 20) [06:35:56] [worker #4] ML tree search #20, logLikelihood: -92453.855684 [06:36:55] [worker #1] ML tree search #17, logLikelihood: -92464.844758 [06:39:30 -92456.978381] SLOW spr round 13 (radius: 25) [06:41:42] [worker #2] ML tree search #18, logLikelihood: -92448.253511 [06:54:05 -92456.978381] Model parameter optimization (eps = 0.100000) [06:54:30] [worker #0] ML tree search #16, logLikelihood: -92452.414628 [06:56:33] [worker #3] ML tree search #19, logLikelihood: -92462.264113 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.298825,0.394920) (0.253642,0.595767) (0.365046,1.437973) (0.082487,2.496754) 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: -92437.477486 AIC score: 188884.954972 / AICc score: 8232944.954972 / BIC score: 196039.485702 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=262). 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/Q8NGX2/3_mltree/Q8NGX2.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/3_mltree/Q8NGX2.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/3_mltree/Q8NGX2.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGX2/3_mltree/Q8NGX2.raxml.log Analysis started: 02-Jul-2021 17:10:48 / finished: 03-Jul-2021 00:07:22 Elapsed time: 24994.037 seconds Consumed energy: 1989.758 Wh (= 10 km in an electric car, or 50 km with an e-scooter!)