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 06:51:29 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/2_msa/Q8NGK6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/3_mltree/Q8NGK6 --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/Q8NGK6/2_msa/Q8NGK6_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 273 sites WARNING: Sequences tr_A0A2I2ZUI7_A0A2I2ZUI7_GORGO_9595 and tr_A0A2J8P6V2_A0A2J8P6V2_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I2ZUI7_A0A2I2ZUI7_GORGO_9595 and sp_Q9H255_O51E2_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I2ZUI7_A0A2I2ZUI7_GORGO_9595 and tr_A0A2R8ZJR1_A0A2R8ZJR1_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3RGC5_G3RGC5_GORGO_9595 and sp_Q6IFG1_O52E8_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2Q309_H2Q309_PANTR_9598 and tr_A0A2R8ZCN6_A0A2R8ZCN6_PANPA_9597 are exactly identical! WARNING: Sequences tr_G7PQX0_G7PQX0_MACFA_9541 and tr_A0A2K5MW29_A0A2K5MW29_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7PQX0_G7PQX0_MACFA_9541 and tr_A0A2K6DNQ6_A0A2K6DNQ6_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1S3A1I6_A0A1S3A1I6_ERIEU_9365 and tr_A0A1S3AED1_A0A1S3AED1_ERIEU_9365 are exactly identical! WARNING: Sequences tr_A0A226MGI1_A0A226MGI1_CALSU_9009 and tr_A0A226NPS5_A0A226NPS5_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2K5KLT0_A0A2K5KLT0_CERAT_9531 and tr_A0A2K6AXB4_A0A2K6AXB4_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2K5KLT0_A0A2K5KLT0_CERAT_9531 and tr_A0A2K5XHY9_A0A2K5XHY9_MANLE_9568 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/Q8NGK6/3_mltree/Q8NGK6.raxml.reduced.phy Alignment comprises 1 partitions and 273 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 273 / 273 Gaps: 0.14 % Invariant sites: 1.10 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/3_mltree/Q8NGK6.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 / 273 / 21840 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -383145.024815] Initial branch length optimization [00:00:06 -332847.162384] Model parameter optimization (eps = 10.000000) [00:01:05 -331526.537645] AUTODETECT spr round 1 (radius: 5) [00:04:43 -232437.489366] AUTODETECT spr round 2 (radius: 10) [00:08:27 -150940.808046] AUTODETECT spr round 3 (radius: 15) [00:12:48 -133099.923590] AUTODETECT spr round 4 (radius: 20) [00:18:26 -118207.668281] AUTODETECT spr round 5 (radius: 25) [00:26:38 -116515.625447] SPR radius for FAST iterations: 25 (autodetect) [00:26:38 -116515.625447] Model parameter optimization (eps = 3.000000) [00:27:13 -116047.266205] FAST spr round 1 (radius: 25) [00:30:46 -100773.873958] FAST spr round 2 (radius: 25) [00:33:34 -100057.973290] FAST spr round 3 (radius: 25) [00:36:07 -100011.796268] FAST spr round 4 (radius: 25) [00:38:16 -100009.130013] FAST spr round 5 (radius: 25) [00:40:20 -100009.130011] Model parameter optimization (eps = 1.000000) [00:40:38 -100006.671869] SLOW spr round 1 (radius: 5) [00:43:56 -99960.203146] SLOW spr round 2 (radius: 5) [00:47:01 -99949.118473] SLOW spr round 3 (radius: 5) [00:50:01 -99944.626548] SLOW spr round 4 (radius: 5) [00:52:56 -99944.511640] SLOW spr round 5 (radius: 5) [00:55:49 -99944.511611] SLOW spr round 6 (radius: 10) [00:58:46 -99944.511611] SLOW spr round 7 (radius: 15) [01:04:10 -99944.511611] SLOW spr round 8 (radius: 20) [01:14:21 -99944.511611] SLOW spr round 9 (radius: 25) [01:23:10] [worker #1] ML tree search #2, logLikelihood: -99934.723748 [01:27:29 -99944.511611] Model parameter optimization (eps = 0.100000) [01:27:40] [worker #0] ML tree search #1, logLikelihood: -99944.431562 [01:27:40 -383066.516223] Initial branch length optimization [01:27:45 -333019.035934] Model parameter optimization (eps = 10.000000) [01:28:40 -331610.625010] AUTODETECT spr round 1 (radius: 5) [01:31:28] [worker #3] ML tree search #4, logLikelihood: -99947.057310 [01:32:16 -237170.666875] AUTODETECT spr round 2 (radius: 10) [01:32:39] [worker #2] ML tree search #3, logLikelihood: -99930.147640 [01:36:28 -152916.383201] AUTODETECT spr round 3 (radius: 15) [01:40:28 -128251.350930] AUTODETECT spr round 4 (radius: 20) [01:45:22 -122897.761365] AUTODETECT spr round 5 (radius: 25) [01:46:57] [worker #4] ML tree search #5, logLikelihood: -99933.435096 [01:51:19 -120466.874265] SPR radius for FAST iterations: 25 (autodetect) [01:51:19 -120466.874265] Model parameter optimization (eps = 3.000000) [01:51:50 -120073.981832] FAST spr round 1 (radius: 25) [01:55:28 -100981.461887] FAST spr round 2 (radius: 25) [01:58:16 -100061.305122] FAST spr round 3 (radius: 25) [02:00:49 -99999.941331] FAST spr round 4 (radius: 25) [02:03:15 -99971.674432] FAST spr round 5 (radius: 25) [02:05:25 -99967.249941] FAST spr round 6 (radius: 25) [02:07:34 -99964.354995] FAST spr round 7 (radius: 25) [02:09:40 -99964.354914] Model parameter optimization (eps = 1.000000) [02:09:51 -99963.417785] SLOW spr round 1 (radius: 5) [02:13:06 -99939.286207] SLOW spr round 2 (radius: 5) [02:16:14 -99934.409041] SLOW spr round 3 (radius: 5) [02:19:10 -99934.409016] SLOW spr round 4 (radius: 10) [02:22:12 -99934.409016] SLOW spr round 5 (radius: 15) [02:27:41 -99934.409016] SLOW spr round 6 (radius: 20) [02:38:19 -99934.409016] SLOW spr round 7 (radius: 25) [02:51:44 -99934.409016] Model parameter optimization (eps = 0.100000) [02:51:52] [worker #0] ML tree search #6, logLikelihood: -99934.360986 [02:51:52 -382436.299904] Initial branch length optimization [02:51:58 -333008.275051] Model parameter optimization (eps = 10.000000) [02:53:05 -331666.657957] AUTODETECT spr round 1 (radius: 5) [02:56:44 -231675.358796] AUTODETECT spr round 2 (radius: 10) [02:57:59] [worker #2] ML tree search #8, logLikelihood: -99937.937051 [03:00:53 -154047.475040] AUTODETECT spr round 3 (radius: 15) [03:04:12] [worker #3] ML tree search #9, logLikelihood: -99912.747189 [03:05:03 -130263.932359] AUTODETECT spr round 4 (radius: 20) [03:10:14] [worker #1] ML tree search #7, logLikelihood: -99944.665732 [03:10:58 -117407.843831] AUTODETECT spr round 5 (radius: 25) [03:11:27] [worker #4] ML tree search #10, logLikelihood: -99946.936174 [03:18:34 -116221.734943] SPR radius for FAST iterations: 25 (autodetect) [03:18:34 -116221.734943] Model parameter optimization (eps = 3.000000) [03:19:16 -115806.738622] FAST spr round 1 (radius: 25) [03:22:43 -100629.037337] FAST spr round 2 (radius: 25) [03:25:29 -100056.353535] FAST spr round 3 (radius: 25) [03:27:55 -100025.955538] FAST spr round 4 (radius: 25) [03:30:08 -100021.958797] FAST spr round 5 (radius: 25) [03:32:16 -100021.958272] Model parameter optimization (eps = 1.000000) [03:32:42 -100015.940675] SLOW spr round 1 (radius: 5) [03:36:03 -99952.614666] SLOW spr round 2 (radius: 5) [03:39:14 -99943.823283] SLOW spr round 3 (radius: 5) [03:42:12 -99941.352712] SLOW spr round 4 (radius: 5) [03:45:07 -99941.258903] SLOW spr round 5 (radius: 10) [03:48:07 -99941.258887] SLOW spr round 6 (radius: 15) [03:53:24 -99941.258886] SLOW spr round 7 (radius: 20) [04:03:33 -99941.258886] SLOW spr round 8 (radius: 25) [04:16:25 -99941.258886] Model parameter optimization (eps = 0.100000) [04:16:41] [worker #0] ML tree search #11, logLikelihood: -99941.099399 [04:16:41 -384409.115083] Initial branch length optimization [04:16:46 -333864.676085] Model parameter optimization (eps = 10.000000) [04:17:39 -332531.789168] AUTODETECT spr round 1 (radius: 5) [04:21:20 -233652.599170] AUTODETECT spr round 2 (radius: 10) [04:25:32 -152894.238664] AUTODETECT spr round 3 (radius: 15) [04:29:44 -126338.729154] AUTODETECT spr round 4 (radius: 20) [04:33:25] [worker #1] ML tree search #12, logLikelihood: -99929.480045 [04:35:03 -121023.168221] AUTODETECT spr round 5 (radius: 25) [04:37:12] [worker #2] ML tree search #13, logLikelihood: -99952.759408 [04:42:05 -117751.763050] SPR radius for FAST iterations: 25 (autodetect) [04:42:05 -117751.763050] Model parameter optimization (eps = 3.000000) [04:42:40 -117366.611645] FAST spr round 1 (radius: 25) [04:42:41] [worker #3] ML tree search #14, logLikelihood: -99938.618790 [04:46:12 -100750.639172] FAST spr round 2 (radius: 25) [04:49:01 -100046.399071] FAST spr round 3 (radius: 25) [04:51:35 -99997.950742] FAST spr round 4 (radius: 25) [04:53:51 -99987.951998] FAST spr round 5 (radius: 25) [04:55:58 -99986.692408] FAST spr round 6 (radius: 25) [04:58:03 -99986.692225] Model parameter optimization (eps = 1.000000) [04:58:23 -99979.959979] SLOW spr round 1 (radius: 5) [05:01:38 -99954.820948] SLOW spr round 2 (radius: 5) [05:04:45 -99948.691549] SLOW spr round 3 (radius: 5) [05:07:40 -99948.691480] SLOW spr round 4 (radius: 10) [05:09:02] [worker #4] ML tree search #15, logLikelihood: -99919.619143 [05:10:41 -99945.966257] SLOW spr round 5 (radius: 5) [05:14:39 -99942.436268] SLOW spr round 6 (radius: 5) [05:18:01 -99942.436256] SLOW spr round 7 (radius: 10) [05:21:09 -99941.750675] SLOW spr round 8 (radius: 5) [05:24:58 -99941.750565] SLOW spr round 9 (radius: 10) [05:28:18 -99941.750565] SLOW spr round 10 (radius: 15) [05:33:19 -99941.750565] SLOW spr round 11 (radius: 20) [05:43:38 -99941.750565] SLOW spr round 12 (radius: 25) [05:56:24 -99941.750565] Model parameter optimization (eps = 0.100000) [05:56:35] [worker #0] ML tree search #16, logLikelihood: -99941.659506 [05:58:48] [worker #1] ML tree search #17, logLikelihood: -99952.259139 [06:12:34] [worker #2] ML tree search #18, logLikelihood: -99957.664546 [06:34:32] [worker #3] ML tree search #19, logLikelihood: -99933.328992 [06:39:18] [worker #4] ML tree search #20, logLikelihood: -99928.071886 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.266482,0.395845) (0.400404,0.611895) (0.281705,1.771061) (0.051409,2.929296) 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: -99912.747189 AIC score: 203835.494378 / AICc score: 8247895.494378 / BIC score: 211072.485327 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=273). 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/Q8NGK6/3_mltree/Q8NGK6.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/3_mltree/Q8NGK6.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/3_mltree/Q8NGK6.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NGK6/3_mltree/Q8NGK6.raxml.log Analysis started: 02-Jul-2021 06:51:29 / finished: 02-Jul-2021 13:30:48 Elapsed time: 23958.868 seconds Consumed energy: 1991.339 Wh (= 10 km in an electric car, or 50 km with an e-scooter!)