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 05-Jul-2021 10:26:02 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/2_msa/A1L453_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/3_mltree/A1L453 --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/A1L453/2_msa/A1L453_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 272 sites WARNING: Sequences tr_G3R2X1_G3R2X1_GORGO_9595 and tr_H2QQJ4_H2QQJ4_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3R2X1_G3R2X1_GORGO_9595 and sp_P03951_FA11_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3R2X1_G3R2X1_GORGO_9595 and tr_A0A2R9BBJ0_A0A2R9BBJ0_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3RAQ7_G3RAQ7_GORGO_9595 and tr_H2Q193_H2Q193_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3SRK3_A0A2I3SRK3_PANTR_9598 and tr_A0A2R8ZAY6_A0A2R8ZAY6_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3TRF4_A0A2I3TRF4_PANTR_9598 and tr_A0A2R9BKC6_A0A2R9BKC6_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QAE0_H2QAE0_PANTR_9598 and tr_A0A2R8ZPG1_A0A2R8ZPG1_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5Q7U7_A0A1D5Q7U7_MACMU_9544 and tr_G7PKF4_G7PKF4_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A1D5Q7U7_A0A1D5Q7U7_MACMU_9544 and tr_A0A096MT27_A0A096MT27_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5Q7U7_A0A1D5Q7U7_MACMU_9544 and tr_A0A2K5MGR7_A0A2K5MGR7_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1D5Q7U7_A0A1D5Q7U7_MACMU_9544 and tr_A0A2K5ZUK1_A0A2K5ZUK1_MANLE_9568 are exactly identical! WARNING: Sequences tr_F6PJA1_F6PJA1_MACMU_9544 and tr_G7PKF5_G7PKF5_MACFA_9541 are exactly identical! WARNING: Sequences tr_G7PNU5_G7PNU5_MACFA_9541 and tr_A0A2K6C858_A0A2K6C858_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7PP25_G7PP25_MACFA_9541 and tr_A0A2I3NGX5_A0A2I3NGX5_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G7PP25_G7PP25_MACFA_9541 and tr_A0A2K6DQT3_A0A2K6DQT3_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7PP25_G7PP25_MACFA_9541 and tr_A0A2K5XQE9_A0A2K5XQE9_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A096MXJ7_A0A096MXJ7_PAPAN_9555 and tr_A0A2K5L8B4_A0A2K5L8B4_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A2I3LGL3_A0A2I3LGL3_PAPAN_9555 and tr_A0A2K5Y1M8_A0A2K5Y1M8_MANLE_9568 are exactly identical! WARNING: Duplicate sequences found: 18 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/A1L453/3_mltree/A1L453.raxml.reduced.phy Alignment comprises 1 partitions and 272 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 272 / 272 Gaps: 8.47 % Invariant sites: 1.10 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/3_mltree/A1L453.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 / 272 / 21760 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -475959.950904] Initial branch length optimization [00:00:04 -415356.424110] Model parameter optimization (eps = 10.000000) [00:00:52 -414859.676867] AUTODETECT spr round 1 (radius: 5) [00:04:23 -316024.034242] AUTODETECT spr round 2 (radius: 10) [00:08:33 -226761.104598] AUTODETECT spr round 3 (radius: 15) [00:13:09 -191845.922825] AUTODETECT spr round 4 (radius: 20) [00:19:06 -185469.261324] AUTODETECT spr round 5 (radius: 25) [00:27:10 -184863.253556] SPR radius for FAST iterations: 25 (autodetect) [00:27:10 -184863.253556] Model parameter optimization (eps = 3.000000) [00:27:37 -184672.221018] FAST spr round 1 (radius: 25) [00:33:06 -166697.017173] FAST spr round 2 (radius: 25) [00:36:46 -165975.246338] FAST spr round 3 (radius: 25) [00:39:50 -165906.589856] FAST spr round 4 (radius: 25) [00:42:30 -165898.460130] FAST spr round 5 (radius: 25) [00:44:55 -165898.460077] Model parameter optimization (eps = 1.000000) [00:45:19 -165896.734994] SLOW spr round 1 (radius: 5) [00:49:06 -165866.471726] SLOW spr round 2 (radius: 5) [00:52:51 -165861.539094] SLOW spr round 3 (radius: 5) [00:56:18 -165860.850544] SLOW spr round 4 (radius: 5) [00:59:38 -165860.850513] SLOW spr round 5 (radius: 10) [01:03:07 -165860.825329] SLOW spr round 6 (radius: 15) [01:10:01 -165860.824498] SLOW spr round 7 (radius: 20) [01:20:13 -165860.824491] SLOW spr round 8 (radius: 25) [01:33:29 -165860.824491] Model parameter optimization (eps = 0.100000) [01:33:43] [worker #0] ML tree search #1, logLikelihood: -165860.582326 [01:33:44 -474737.796282] Initial branch length optimization [01:33:48 -415722.819393] Model parameter optimization (eps = 10.000000) [01:34:41 -415092.040781] AUTODETECT spr round 1 (radius: 5) [01:37:06] [worker #3] ML tree search #4, logLikelihood: -165823.459920 [01:38:19 -311916.993484] AUTODETECT spr round 2 (radius: 10) [01:42:22 -229743.308499] AUTODETECT spr round 3 (radius: 15) [01:47:27 -192319.199694] AUTODETECT spr round 4 (radius: 20) [01:50:54] [worker #4] ML tree search #5, logLikelihood: -165818.427170 [01:53:38 -184345.829647] AUTODETECT spr round 5 (radius: 25) [02:01:12] [worker #2] ML tree search #3, logLikelihood: -165827.112421 [02:02:04 -183680.118348] SPR radius for FAST iterations: 25 (autodetect) [02:02:04 -183680.118348] Model parameter optimization (eps = 3.000000) [02:02:30 -183588.623229] FAST spr round 1 (radius: 25) [02:06:40] [worker #1] ML tree search #2, logLikelihood: -165799.355056 [02:07:48 -166789.129472] FAST spr round 2 (radius: 25) [02:11:31 -165994.271972] FAST spr round 3 (radius: 25) [02:14:37 -165911.088775] FAST spr round 4 (radius: 25) [02:17:15 -165906.076428] FAST spr round 5 (radius: 25) [02:19:40 -165906.076427] Model parameter optimization (eps = 1.000000) [02:20:00 -165903.177313] SLOW spr round 1 (radius: 5) [02:23:45 -165846.996614] SLOW spr round 2 (radius: 5) [02:27:14 -165838.637380] SLOW spr round 3 (radius: 5) [02:30:32 -165835.736876] SLOW spr round 4 (radius: 5) [02:33:40 -165835.395160] SLOW spr round 5 (radius: 5) [02:36:47 -165835.395142] SLOW spr round 6 (radius: 10) [02:40:19 -165821.926848] SLOW spr round 7 (radius: 5) [02:44:40 -165818.080309] SLOW spr round 8 (radius: 5) [02:48:31 -165815.574654] SLOW spr round 9 (radius: 5) [02:52:00 -165815.574614] SLOW spr round 10 (radius: 10) [02:55:32 -165815.574613] SLOW spr round 11 (radius: 15) [03:02:42 -165815.574613] SLOW spr round 12 (radius: 20) [03:13:21 -165815.574613] SLOW spr round 13 (radius: 25) [03:26:05] [worker #4] ML tree search #10, logLikelihood: -165830.993130 [03:26:12 -165815.574613] Model parameter optimization (eps = 0.100000) [03:26:22] [worker #0] ML tree search #6, logLikelihood: -165815.448719 [03:26:22 -474673.970052] Initial branch length optimization [03:26:26 -415071.029466] Model parameter optimization (eps = 10.000000) [03:27:23 -414503.259839] AUTODETECT spr round 1 (radius: 5) [03:30:59 -312759.839419] AUTODETECT spr round 2 (radius: 10) [03:33:00] [worker #3] ML tree search #9, logLikelihood: -165813.019836 [03:35:03 -230594.039802] AUTODETECT spr round 3 (radius: 15) [03:36:19] [worker #1] ML tree search #7, logLikelihood: -165867.555924 [03:39:58 -195621.428071] AUTODETECT spr round 4 (radius: 20) [03:45:49 -187991.251783] AUTODETECT spr round 5 (radius: 25) [03:52:49] [worker #2] ML tree search #8, logLikelihood: -165826.253868 [03:55:26 -186168.509638] SPR radius for FAST iterations: 25 (autodetect) [03:55:26 -186168.509638] Model parameter optimization (eps = 3.000000) [03:56:04 -186069.034981] FAST spr round 1 (radius: 25) [04:02:14 -166785.488859] FAST spr round 2 (radius: 25) [04:05:58 -165943.049684] FAST spr round 3 (radius: 25) [04:09:27 -165872.113549] FAST spr round 4 (radius: 25) [04:12:16 -165856.313765] FAST spr round 5 (radius: 25) [04:14:55 -165855.600479] FAST spr round 6 (radius: 25) [04:17:29 -165855.599248] Model parameter optimization (eps = 1.000000) [04:17:50 -165851.465093] SLOW spr round 1 (radius: 5) [04:21:39 -165824.933798] SLOW spr round 2 (radius: 5) [04:25:17 -165820.958511] SLOW spr round 3 (radius: 5) [04:28:49 -165820.524923] SLOW spr round 4 (radius: 5) [04:32:14 -165820.524882] SLOW spr round 5 (radius: 10) [04:35:46 -165817.620456] SLOW spr round 6 (radius: 5) [04:40:12 -165815.934286] SLOW spr round 7 (radius: 5) [04:44:07 -165814.380186] SLOW spr round 8 (radius: 5) [04:47:43 -165814.380179] SLOW spr round 9 (radius: 10) [04:51:16 -165814.380179] SLOW spr round 10 (radius: 15) [04:58:16 -165814.380179] SLOW spr round 11 (radius: 20) [05:08:47 -165814.380179] SLOW spr round 12 (radius: 25) [05:19:36] [worker #3] ML tree search #14, logLikelihood: -165819.004444 [05:21:30 -165814.380179] Model parameter optimization (eps = 0.100000) [05:21:39] [worker #0] ML tree search #11, logLikelihood: -165814.370455 [05:21:39 -473987.864659] Initial branch length optimization [05:21:43 -413656.890962] Model parameter optimization (eps = 10.000000) [05:22:35 -412956.928403] AUTODETECT spr round 1 (radius: 5) [05:26:01] [worker #4] ML tree search #15, logLikelihood: -165814.431618 [05:26:13 -319252.045473] AUTODETECT spr round 2 (radius: 10) [05:30:22 -232028.155308] AUTODETECT spr round 3 (radius: 15) [05:35:02 -196019.248903] AUTODETECT spr round 4 (radius: 20) [05:37:47] [worker #1] ML tree search #12, logLikelihood: -165814.116496 [05:40:43 -187192.612073] AUTODETECT spr round 5 (radius: 25) [05:47:36 -185977.024748] SPR radius for FAST iterations: 25 (autodetect) [05:47:36 -185977.024748] Model parameter optimization (eps = 3.000000) [05:48:03 -185906.933688] FAST spr round 1 (radius: 25) [05:53:00 -166870.918237] FAST spr round 2 (radius: 25) [05:56:35 -165976.706025] FAST spr round 3 (radius: 25) [05:59:36 -165876.264675] FAST spr round 4 (radius: 25) [06:02:08 -165873.436428] FAST spr round 5 (radius: 25) [06:04:34 -165871.484350] FAST spr round 6 (radius: 25) [06:06:56 -165869.290340] FAST spr round 7 (radius: 25) [06:09:15 -165867.402854] FAST spr round 8 (radius: 25) [06:11:35 -165867.402825] Model parameter optimization (eps = 1.000000) [06:11:56 -165864.429142] SLOW spr round 1 (radius: 5) [06:15:32 -165828.137328] SLOW spr round 2 (radius: 5) [06:16:12] [worker #2] ML tree search #13, logLikelihood: -165834.917120 [06:18:51 -165825.151951] SLOW spr round 3 (radius: 5) [06:22:01 -165825.151820] SLOW spr round 4 (radius: 10) [06:25:19 -165825.046427] SLOW spr round 5 (radius: 5) [06:29:26 -165824.436217] SLOW spr round 6 (radius: 5) [06:33:00 -165824.436198] SLOW spr round 7 (radius: 10) [06:36:31 -165824.436196] SLOW spr round 8 (radius: 15) [06:43:13 -165824.436195] SLOW spr round 9 (radius: 20) [06:53:13 -165824.436194] SLOW spr round 10 (radius: 25) [07:01:46] [worker #3] ML tree search #19, logLikelihood: -165828.088466 [07:06:06 -165824.436194] Model parameter optimization (eps = 0.100000) [07:06:17] [worker #0] ML tree search #16, logLikelihood: -165824.359951 [07:32:35] [worker #4] ML tree search #20, logLikelihood: -165821.084840 [08:05:07] [worker #2] ML tree search #18, logLikelihood: -165839.242953 [08:17:54] [worker #1] ML tree search #17, logLikelihood: -165800.866783 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.148447,0.206440) (0.230426,0.324500) (0.284845,1.096152) (0.336282,1.731727) 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: -165799.355056 AIC score: 335608.710111 / AICc score: 8379668.710111 / BIC score: 342838.343254 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=272). 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/A1L453/3_mltree/A1L453.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/3_mltree/A1L453.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/3_mltree/A1L453.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A1L453/3_mltree/A1L453.raxml.log Analysis started: 05-Jul-2021 10:26:02 / finished: 05-Jul-2021 18:43:57 Elapsed time: 29874.534 seconds Consumed energy: 2191.909 Wh (= 11 km in an electric car, or 55 km with an e-scooter!)