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 01-Jul-2021 15:33:04 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/2_msa/O75864_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/3_mltree/O75864 --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/O75864/2_msa/O75864_trimmed_msa.fasta [00:00:00] Loaded alignment with 904 taxa and 273 sites WARNING: Sequences tr_F1N8V0_F1N8V0_CHICK_9031 and sp_Q5ZI11_LRC45_CHICK_9031 are exactly identical! WARNING: Sequences tr_M3Y423_M3Y423_MUSPF_9669 and tr_A0A2Y9L0F0_A0A2Y9L0F0_ENHLU_391180 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and tr_H2NZ71_H2NZ71_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and sp_O75864_PPR37_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and tr_A0A0A0MU88_A0A0A0MU88_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and tr_A0A2K5N8D3_A0A2K5N8D3_CERAT_9531 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and tr_A0A2K6AKF6_A0A2K6AKF6_MANLE_9568 are exactly identical! WARNING: Sequences tr_G3S009_G3S009_GORGO_9595 and tr_A0A2R9ALE7_A0A2R9ALE7_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A0R3NVI1_A0A0R3NVI1_DROPS_46245 and tr_B4GJ26_B4GJ26_DROPE_7234 are exactly identical! WARNING: Sequences tr_A0A158PZ66_A0A158PZ66_BRUMA_6279 and tr_A0A0N4SZP7_A0A0N4SZP7_BRUPA_6280 are exactly identical! WARNING: Sequences tr_F6VN46_F6VN46_MACMU_9544 and tr_G7Q140_G7Q140_MACFA_9541 are exactly identical! WARNING: Sequences tr_B3S6G5_B3S6G5_TRIAD_10228 and tr_A0A369SKG4_A0A369SKG4_9METZ_287889 are exactly identical! WARNING: Sequences tr_U5HFJ6_U5HFJ6_USTV1_683840 and tr_A0A2X0NM83_A0A2X0NM83_9BASI_796604 are exactly identical! WARNING: Sequences tr_U5HFJ6_U5HFJ6_USTV1_683840 and tr_A0A2X0L5V4_A0A2X0L5V4_9BASI_289078 are exactly identical! WARNING: Sequences tr_W2RF16_W2RF16_PHYPN_761204 and tr_A0A0W8CFP9_A0A0W8CFP9_PHYNI_4790 are exactly identical! WARNING: Sequences tr_W2RF16_W2RF16_PHYPN_761204 and tr_W2M3K1_W2M3K1_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A044RIW7_A0A044RIW7_ONCVO_6282 and tr_A0A182EAC2_A0A182EAC2_ONCOC_42157 are exactly identical! WARNING: Sequences tr_A0A096NI85_A0A096NI85_PAPAN_9555 and tr_A0A2K5LYB1_A0A2K5LYB1_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096NI85_A0A096NI85_PAPAN_9555 and tr_A0A2K6C058_A0A2K6C058_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A0D9S4S6_A0A0D9S4S6_CHLSB_60711 and tr_A0A2K5N7W4_A0A2K5N7W4_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A0D9S4S6_A0A0D9S4S6_CHLSB_60711 and tr_A0A2K6BA46_A0A2K6BA46_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A0V1CXP0_A0A0V1CXP0_TRIBR_45882 and tr_A0A0V0WZC3_A0A0V0WZC3_9BILA_92179 are exactly identical! WARNING: Sequences tr_A0A0V1CXP0_A0A0V1CXP0_TRIBR_45882 and tr_A0A0V1LT83_A0A0V1LT83_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V1NTG5_A0A0V1NTG5_9BILA_92180 and tr_A0A0V0U588_A0A0V0U588_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A1S3NG43_A0A1S3NG43_SALSA_8030 and tr_A0A060W0K2_A0A060W0K2_ONCMY_8022 are exactly identical! WARNING: Sequences tr_A0A2D0PR54_A0A2D0PR54_ICTPU_7998 and tr_A0A2D0PR60_A0A2D0PR60_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0PR54_A0A2D0PR54_ICTPU_7998 and tr_A0A2D0PSV2_A0A2D0PSV2_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0PR54_A0A2D0PR54_ICTPU_7998 and tr_A0A2D0PTS9_A0A2D0PTS9_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2N5SIV8_A0A2N5SIV8_9BASI_200324 and tr_A0A2N5UQ84_A0A2N5UQ84_9BASI_200324 are exactly identical! WARNING: Duplicate sequences found: 29 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/O75864/3_mltree/O75864.raxml.reduced.phy Alignment comprises 1 partitions and 273 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 273 / 273 Gaps: 12.87 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/3_mltree/O75864.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 904 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 -487321.306463] Initial branch length optimization [00:00:07 -414514.929498] Model parameter optimization (eps = 10.000000) [00:01:36 -412003.840468] AUTODETECT spr round 1 (radius: 5) [00:05:16 -310696.299484] AUTODETECT spr round 2 (radius: 10) [00:09:20 -247711.412285] AUTODETECT spr round 3 (radius: 15) [00:13:52 -207293.565261] AUTODETECT spr round 4 (radius: 20) [00:19:10 -197106.813253] AUTODETECT spr round 5 (radius: 25) [00:25:57 -196382.483282] SPR radius for FAST iterations: 25 (autodetect) [00:25:57 -196382.483282] Model parameter optimization (eps = 3.000000) [00:26:11 -196378.263112] FAST spr round 1 (radius: 25) [00:32:48 -181551.571472] FAST spr round 2 (radius: 25) [00:37:23 -180860.050862] FAST spr round 3 (radius: 25) [00:41:07 -180774.160305] FAST spr round 4 (radius: 25) [00:44:29 -180746.136876] FAST spr round 5 (radius: 25) [00:47:27 -180745.513313] FAST spr round 6 (radius: 25) [00:50:19 -180745.513285] Model parameter optimization (eps = 1.000000) [00:50:49 -180641.636830] SLOW spr round 1 (radius: 5) [00:54:44 -180544.919125] SLOW spr round 2 (radius: 5) [00:58:33 -180521.244333] SLOW spr round 3 (radius: 5) [01:02:24 -180508.414071] SLOW spr round 4 (radius: 5) [01:06:08 -180502.535805] SLOW spr round 5 (radius: 5) [01:09:45 -180502.263650] SLOW spr round 6 (radius: 5) [01:13:20 -180501.936402] SLOW spr round 7 (radius: 5) [01:16:54 -180501.936027] SLOW spr round 8 (radius: 10) [01:20:47 -180488.841327] SLOW spr round 9 (radius: 5) [01:25:10 -180484.520293] SLOW spr round 10 (radius: 5) [01:29:04 -180484.519308] SLOW spr round 11 (radius: 10) [01:33:00 -180482.766113] SLOW spr round 12 (radius: 5) [01:37:15 -180482.765920] SLOW spr round 13 (radius: 10) [01:41:24 -180482.765851] SLOW spr round 14 (radius: 15) [01:47:23 -180480.734303] SLOW spr round 15 (radius: 5) [01:51:55 -180480.496419] SLOW spr round 16 (radius: 5) [01:55:53 -180480.496081] SLOW spr round 17 (radius: 10) [01:59:14] [worker #3] ML tree search #4, logLikelihood: -180517.108635 [01:59:51 -180477.427857] SLOW spr round 18 (radius: 5) [02:04:07 -180477.105229] SLOW spr round 19 (radius: 5) [02:07:59 -180477.105045] SLOW spr round 20 (radius: 10) [02:11:49 -180476.769569] SLOW spr round 21 (radius: 5) [02:16:04 -180476.623158] SLOW spr round 22 (radius: 5) [02:17:25] [worker #2] ML tree search #3, logLikelihood: -180517.616027 [02:19:56 -180476.621970] SLOW spr round 23 (radius: 10) [02:22:47] [worker #4] ML tree search #5, logLikelihood: -180502.887176 [02:23:46 -180476.621870] SLOW spr round 24 (radius: 15) [02:30:00 -180476.621861] SLOW spr round 25 (radius: 20) [02:38:38 -180476.621859] SLOW spr round 26 (radius: 25) [02:49:29 -180476.621859] Model parameter optimization (eps = 0.100000) [02:49:51] [worker #0] ML tree search #1, logLikelihood: -180475.777773 [02:49:51 -486414.985871] Initial branch length optimization [02:49:58 -413129.894660] Model parameter optimization (eps = 10.000000) [02:51:03 -411022.147252] AUTODETECT spr round 1 (radius: 5) [02:54:47 -310912.038717] AUTODETECT spr round 2 (radius: 10) [02:58:58 -244065.174517] AUTODETECT spr round 3 (radius: 15) [03:03:15 -220386.931641] AUTODETECT spr round 4 (radius: 20) [03:08:00 -204758.535573] AUTODETECT spr round 5 (radius: 25) [03:13:37 -200269.547197] SPR radius for FAST iterations: 25 (autodetect) [03:13:37 -200269.547197] Model parameter optimization (eps = 3.000000) [03:13:51 -200265.653584] FAST spr round 1 (radius: 25) [03:14:28] [worker #1] ML tree search #2, logLikelihood: -180559.854189 [03:20:26 -181859.149250] FAST spr round 2 (radius: 25) [03:25:19 -180921.863312] FAST spr round 3 (radius: 25) [03:29:11 -180846.503445] FAST spr round 4 (radius: 25) [03:32:42 -180804.164598] FAST spr round 5 (radius: 25) [03:36:00 -180789.987082] FAST spr round 6 (radius: 25) [03:39:00 -180786.762064] FAST spr round 7 (radius: 25) [03:41:55 -180782.447501] FAST spr round 8 (radius: 25) [03:44:47 -180780.767552] FAST spr round 9 (radius: 25) [03:47:37 -180780.767441] Model parameter optimization (eps = 1.000000) [03:47:45 -180780.639347] SLOW spr round 1 (radius: 5) [03:51:46 -180730.398590] SLOW spr round 2 (radius: 5) [03:55:37 -180721.065766] SLOW spr round 3 (radius: 5) [03:59:24 -180719.495890] SLOW spr round 4 (radius: 5) [04:03:04 -180719.037496] SLOW spr round 5 (radius: 5) [04:06:46 -180712.752119] SLOW spr round 6 (radius: 5) [04:10:23 -180712.751645] SLOW spr round 7 (radius: 10) [04:14:11 -180710.075557] SLOW spr round 8 (radius: 5) [04:18:31 -180708.630942] SLOW spr round 9 (radius: 5) [04:22:26 -180708.630252] SLOW spr round 10 (radius: 10) [04:26:24 -180708.630231] SLOW spr round 11 (radius: 15) [04:31:31] [worker #2] ML tree search #8, logLikelihood: -180509.171960 [04:33:06 -180708.630230] SLOW spr round 12 (radius: 20) [04:38:27] [worker #3] ML tree search #9, logLikelihood: -180527.015856 [04:42:39 -180708.630230] SLOW spr round 13 (radius: 25) [04:54:41 -180708.630230] Model parameter optimization (eps = 0.100000) [04:54:47] [worker #0] ML tree search #6, logLikelihood: -180708.616922 [04:54:47 -489066.104431] Initial branch length optimization [04:54:54 -413941.635197] Model parameter optimization (eps = 10.000000) [04:56:02 -411636.182038] AUTODETECT spr round 1 (radius: 5) [04:59:43 -318724.163300] AUTODETECT spr round 2 (radius: 10) [05:03:50 -248260.230388] AUTODETECT spr round 3 (radius: 15) [05:08:17 -219214.530006] AUTODETECT spr round 4 (radius: 20) [05:13:14 -213609.186579] AUTODETECT spr round 5 (radius: 25) [05:17:47] [worker #4] ML tree search #10, logLikelihood: -180529.090358 [05:18:58 -202786.046656] SPR radius for FAST iterations: 25 (autodetect) [05:18:58 -202786.046656] Model parameter optimization (eps = 3.000000) [05:19:12 -202782.472460] FAST spr round 1 (radius: 25) [05:25:26 -182137.525259] FAST spr round 2 (radius: 25) [05:30:10 -180952.118633] FAST spr round 3 (radius: 25) [05:34:07 -180850.859080] FAST spr round 4 (radius: 25) [05:37:41 -180821.046591] FAST spr round 5 (radius: 25) [05:40:48 -180806.285174] FAST spr round 6 (radius: 25) [05:43:48 -180799.742903] FAST spr round 7 (radius: 25) [05:46:40 -180799.383381] FAST spr round 8 (radius: 25) [05:49:29 -180799.381171] Model parameter optimization (eps = 1.000000) [05:49:38 -180799.210411] SLOW spr round 1 (radius: 5) [05:53:33 -180756.195479] SLOW spr round 2 (radius: 5) [05:57:22 -180753.299393] SLOW spr round 3 (radius: 5) [06:01:01 -180753.298721] SLOW spr round 4 (radius: 10) [06:04:50 -180743.796660] SLOW spr round 5 (radius: 5) [06:09:12 -180743.185802] SLOW spr round 6 (radius: 5) [06:13:06 -180743.185408] SLOW spr round 7 (radius: 10) [06:17:02 -180743.185399] SLOW spr round 8 (radius: 15) [06:23:40 -180743.185397] SLOW spr round 9 (radius: 20) [06:33:08 -180743.185396] SLOW spr round 10 (radius: 25) [06:42:58] [worker #2] ML tree search #13, logLikelihood: -180528.908534 [06:44:35 -180743.185395] Model parameter optimization (eps = 0.100000) [06:45:16] [worker #0] ML tree search #11, logLikelihood: -180581.023178 [06:45:16 -487365.989723] Initial branch length optimization [06:45:23 -413889.601779] Model parameter optimization (eps = 10.000000) [06:46:35 -411666.464968] AUTODETECT spr round 1 (radius: 5) [06:50:15 -317707.422692] AUTODETECT spr round 2 (radius: 10) [06:54:20 -251638.375256] AUTODETECT spr round 3 (radius: 15) [06:58:36 -222121.395679] AUTODETECT spr round 4 (radius: 20) [07:03:19 -206469.697773] AUTODETECT spr round 5 (radius: 25) [07:09:15 -200711.456486] SPR radius for FAST iterations: 25 (autodetect) [07:09:15 -200711.456486] Model parameter optimization (eps = 3.000000) [07:09:34 -200704.659922] FAST spr round 1 (radius: 25) [07:16:11 -182260.798297] FAST spr round 2 (radius: 25) [07:21:00 -180949.139895] FAST spr round 3 (radius: 25) [07:24:59 -180847.344725] FAST spr round 4 (radius: 25) [07:28:36 -180812.507092] FAST spr round 5 (radius: 25) [07:31:42 -180808.774266] FAST spr round 6 (radius: 25) [07:34:35 -180808.773599] Model parameter optimization (eps = 1.000000) [07:35:14 -180696.320679] SLOW spr round 1 (radius: 5) [07:39:28 -180606.028745] SLOW spr round 2 (radius: 5) [07:42:36] [worker #3] ML tree search #14, logLikelihood: -180523.345275 [07:43:26 -180577.564537] SLOW spr round 3 (radius: 5) [07:47:21 -180560.629562] SLOW spr round 4 (radius: 5) [07:51:03 -180559.125002] SLOW spr round 5 (radius: 5) [07:54:39 -180559.124998] SLOW spr round 6 (radius: 10) [07:58:39 -180548.424024] SLOW spr round 7 (radius: 5) [08:00:44] [worker #4] ML tree search #15, logLikelihood: -180504.968576 [08:03:14 -180543.478286] SLOW spr round 8 (radius: 5) [08:07:26 -180537.884448] SLOW spr round 9 (radius: 5) [08:11:10 -180537.884332] SLOW spr round 10 (radius: 10) [08:15:00 -180537.884328] SLOW spr round 11 (radius: 15) [08:21:24 -180537.843691] SLOW spr round 12 (radius: 20) [08:30:35 -180535.744748] SLOW spr round 13 (radius: 5) [08:35:16 -180533.023210] SLOW spr round 14 (radius: 5) [08:39:25 -180532.446841] SLOW spr round 15 (radius: 5) [08:43:23 -180528.898122] SLOW spr round 16 (radius: 5) [08:47:04 -180528.897660] SLOW spr round 17 (radius: 10) [08:50:54 -180528.897612] SLOW spr round 18 (radius: 15) [08:57:21 -180528.897606] SLOW spr round 19 (radius: 20) [09:00:20] [worker #1] ML tree search #7, logLikelihood: -180639.667489 [09:06:37 -180528.897606] SLOW spr round 20 (radius: 25) [09:17:46 -180528.897606] Model parameter optimization (eps = 0.100000) [09:18:18] [worker #0] ML tree search #16, logLikelihood: -180521.482361 [09:28:17] [worker #2] ML tree search #18, logLikelihood: -180711.399253 [09:48:31] [worker #3] ML tree search #19, logLikelihood: -180579.956005 [10:06:23] [worker #4] ML tree search #20, logLikelihood: -180540.875290 [12:09:34] [worker #1] ML tree search #12, logLikelihood: -180509.747958 [15:02:13] [worker #1] ML tree search #17, logLikelihood: -180529.068203 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.232866,0.695852) (0.136518,0.462475) (0.376037,1.078972) (0.254579,1.449806) 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: -180475.777773 AIC score: 364573.555547 / AICc score: 6927637.555547 / BIC score: 371110.308968 Free parameters (model + branch lengths): 1811 WARNING: Number of free parameters (K=1811) 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/O75864/3_mltree/O75864.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/3_mltree/O75864.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/3_mltree/O75864.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O75864/3_mltree/O75864.raxml.log Analysis started: 01-Jul-2021 15:33:04 / finished: 02-Jul-2021 06:35:18 Elapsed time: 54133.541 seconds Consumed energy: 2403.314 Wh (= 12 km in an electric car, or 60 km with an e-scooter!)