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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM RAxML-NG was called at 18-Jun-2021 07:55:26 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/2_msa/Q12802_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/2_msa/Q12802_trimmed_msa.fasta [00:00:00] Loaded alignment with 567 taxa and 357 sites WARNING: Sequences tr_G3QER7_G3QER7_GORGO_9595 and tr_H2R167_H2R167_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QER7_G3QER7_GORGO_9595 and sp_Q12802_AKP13_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3QER7_G3QER7_GORGO_9595 and tr_A0A2R9BXB5_A0A2R9BXB5_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3S0A5_A0A2I3S0A5_PANTR_9598 and tr_A0A2R9CGS6_A0A2R9CGS6_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QGF2_H2QGF2_PANTR_9598 and tr_A0A2R9BWP6_A0A2R9BWP6_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QR28_H2QR28_PANTR_9598 and tr_A0A2R8ZV92_A0A2R8ZV92_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5QGD0_A0A1D5QGD0_MACMU_9544 and tr_A0A2I3MAZ4_A0A2I3MAZ4_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5QGD0_A0A1D5QGD0_MACMU_9544 and tr_A0A2K5LQK2_A0A2K5LQK2_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1D5QGD0_A0A1D5QGD0_MACMU_9544 and tr_A0A2K6BAS8_A0A2K6BAS8_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5QGD0_A0A1D5QGD0_MACMU_9544 and tr_A0A2K5Y079_A0A2K5Y079_MANLE_9568 are exactly identical! WARNING: Sequences tr_F7F1G4_F7F1G4_MACMU_9544 and tr_G7P7Q6_G7P7Q6_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7F1G4_F7F1G4_MACMU_9544 and tr_A0A2K5KPH4_A0A2K5KPH4_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7F1G4_F7F1G4_MACMU_9544 and tr_A0A2K5XP20_A0A2K5XP20_MANLE_9568 are exactly identical! WARNING: Sequences tr_F7GH46_F7GH46_MACMU_9544 and tr_G7P9D1_G7P9D1_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7GH46_F7GH46_MACMU_9544 and tr_A0A2K6CNB5_A0A2K6CNB5_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A287B6A9_A0A287B6A9_PIG_9823 and sp_B2DCZ9_ARHG2_PIG_9823 are exactly identical! WARNING: Sequences tr_G7NV72_G7NV72_MACFA_9541 and tr_A0A2K6BK21_A0A2K6BK21_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A096N081_A0A096N081_PAPAN_9555 and tr_A0A2K5ZN51_A0A2K5ZN51_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A0D9R8Y8_A0A0D9R8Y8_CHLSB_60711 and tr_A0A2K5NB75_A0A2K5NB75_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A0D9RXC2_A0A0D9RXC2_CHLSB_60711 and tr_A0A2K5YJJ7_A0A2K5YJJ7_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A091IZE1_A0A091IZE1_EGRGA_188379 and tr_A0A091WM12_A0A091WM12_NIPNI_128390 are exactly identical! WARNING: Sequences tr_A0A2D0Q985_A0A2D0Q985_ICTPU_7998 and tr_A0A2D0Q990_A0A2D0Q990_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0Q985_A0A2D0Q985_ICTPU_7998 and tr_A0A2D0QAD8_A0A2D0QAD8_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0Q985_A0A2D0Q985_ICTPU_7998 and tr_A0A2D0QD01_A0A2D0QD01_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0RTP3_A0A2D0RTP3_ICTPU_7998 and tr_A0A2D0RTP6_A0A2D0RTP6_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0RTP3_A0A2D0RTP3_ICTPU_7998 and tr_A0A2D0RUL8_A0A2D0RUL8_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0RTP3_A0A2D0RTP3_ICTPU_7998 and tr_A0A2D0RV82_A0A2D0RV82_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0RTP3_A0A2D0RTP3_ICTPU_7998 and tr_A0A2D0RV89_A0A2D0RV89_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0S258_A0A2D0S258_ICTPU_7998 and tr_A0A2D0S329_A0A2D0S329_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0T7I0_A0A2D0T7I0_ICTPU_7998 and tr_A0A2D0T837_A0A2D0T837_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2U4AWR3_A0A2U4AWR3_TURTR_9739 and tr_A0A2Y9PZY3_A0A2Y9PZY3_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A2Y9M2U2_A0A2Y9M2U2_DELLE_9749 and tr_A0A2Y9EYJ7_A0A2Y9EYJ7_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2Y9QAM2_A0A2Y9QAM2_DELLE_9749 and tr_A0A2Y9RWM0_A0A2Y9RWM0_PHYCD_9755 are exactly identical! WARNING: Duplicate sequences found: 33 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.raxml.reduced.phy Alignment comprises 1 partitions and 357 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 357 / 357 Gaps: 14.24 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.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 567 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 357 / 28560 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -263772.727679] Initial branch length optimization [00:00:09 -217202.019978] Model parameter optimization (eps = 10.000000) [00:01:05 -216140.914138] AUTODETECT spr round 1 (radius: 5) [00:02:35 -139703.930020] AUTODETECT spr round 2 (radius: 10) [00:04:23 -98961.914619] AUTODETECT spr round 3 (radius: 15) [00:06:47 -82316.374530] AUTODETECT spr round 4 (radius: 20) [00:09:59 -78890.892938] AUTODETECT spr round 5 (radius: 25) [00:13:25 -78774.289499] SPR radius for FAST iterations: 25 (autodetect) [00:13:25 -78774.289499] Model parameter optimization (eps = 3.000000) [00:14:02 -78521.809684] FAST spr round 1 (radius: 25) [00:16:10 -70492.075573] FAST spr round 2 (radius: 25) [00:17:51 -70061.040910] FAST spr round 3 (radius: 25) [00:19:19 -70035.652680] FAST spr round 4 (radius: 25) [00:20:38 -70030.228810] FAST spr round 5 (radius: 25) [00:21:48 -70029.844197] FAST spr round 6 (radius: 25) [00:22:55 -70029.842833] Model parameter optimization (eps = 1.000000) [00:23:09 -70018.778153] SLOW spr round 1 (radius: 5) [00:24:40 -69990.358852] SLOW spr round 2 (radius: 5) [00:26:16 -69990.221142] SLOW spr round 3 (radius: 5) [00:27:51 -69990.220264] SLOW spr round 4 (radius: 10) [00:29:41 -69990.219570] SLOW spr round 5 (radius: 15) [00:33:30 -69989.057448] SLOW spr round 6 (radius: 5) [00:35:54 -69989.055679] SLOW spr round 7 (radius: 10) [00:38:20 -69989.054990] SLOW spr round 8 (radius: 15) [00:41:58 -69989.054373] SLOW spr round 9 (radius: 20) [00:47:45 -69989.053892] SLOW spr round 10 (radius: 25) [00:54:07 -69989.053755] Model parameter optimization (eps = 0.100000) [00:54:13] [worker #0] ML tree search #1, logLikelihood: -69988.997050 [00:54:13 -265319.804303] Initial branch length optimization [00:54:18 -218350.732153] Model parameter optimization (eps = 10.000000) [00:55:18 -217298.044072] AUTODETECT spr round 1 (radius: 5) [00:56:49 -138795.366127] AUTODETECT spr round 2 (radius: 10) [00:58:31 -105146.086271] AUTODETECT spr round 3 (radius: 15) [00:59:10] [worker #4] ML tree search #5, logLikelihood: -69999.028344 [01:00:43 -84567.276802] AUTODETECT spr round 4 (radius: 20) [01:02:42] [worker #2] ML tree search #3, logLikelihood: -69995.404195 [01:02:55] [worker #3] ML tree search #4, logLikelihood: -69992.327042 [01:03:13 -80353.406896] AUTODETECT spr round 5 (radius: 25) [01:06:56 -78317.092581] SPR radius for FAST iterations: 25 (autodetect) [01:06:56 -78317.092581] Model parameter optimization (eps = 3.000000) [01:07:34 -78011.651215] FAST spr round 1 (radius: 25) [01:09:52 -70335.076845] FAST spr round 2 (radius: 25) [01:11:39 -70048.366494] FAST spr round 3 (radius: 25) [01:13:12 -70028.922193] FAST spr round 4 (radius: 25) [01:14:26 -70026.868986] FAST spr round 5 (radius: 25) [01:15:36 -70026.006542] FAST spr round 6 (radius: 25) [01:16:43 -70025.973509] Model parameter optimization (eps = 1.000000) [01:16:59 -70021.142672] SLOW spr round 1 (radius: 5) [01:18:32 -70009.977351] SLOW spr round 2 (radius: 5) [01:20:10 -70006.792165] SLOW spr round 3 (radius: 5) [01:21:51 -69998.633213] SLOW spr round 4 (radius: 5) [01:23:28 -69998.561526] SLOW spr round 5 (radius: 10) [01:25:19 -69998.560540] SLOW spr round 6 (radius: 15) [01:29:04 -69997.733193] SLOW spr round 7 (radius: 5) [01:31:26 -69997.733029] SLOW spr round 8 (radius: 10) [01:33:54 -69997.732916] SLOW spr round 9 (radius: 15) [01:37:26 -69997.732825] SLOW spr round 10 (radius: 20) [01:43:11 -69997.446337] SLOW spr round 11 (radius: 5) [01:45:41 -69997.443303] SLOW spr round 12 (radius: 10) [01:48:18 -69997.442370] SLOW spr round 13 (radius: 15) [01:51:49 -69997.442076] SLOW spr round 14 (radius: 20) [01:57:31 -69997.441956] SLOW spr round 15 (radius: 25) [02:03:53 -69997.441872] Model parameter optimization (eps = 0.100000) [02:04:05] [worker #0] ML tree search #6, logLikelihood: -69997.167128 [02:04:05 -266546.822693] Initial branch length optimization [02:04:10 -219846.116250] Model parameter optimization (eps = 10.000000) [02:05:21 -218853.173155] AUTODETECT spr round 1 (radius: 5) [02:06:51 -137725.338570] AUTODETECT spr round 2 (radius: 10) [02:07:12] [worker #3] ML tree search #9, logLikelihood: -69987.408438 [02:08:35 -103255.835752] AUTODETECT spr round 3 (radius: 15) [02:10:41 -85073.972127] AUTODETECT spr round 4 (radius: 20) [02:13:48 -79954.402798] AUTODETECT spr round 5 (radius: 25) [02:14:09] [worker #4] ML tree search #10, logLikelihood: -69987.530195 [02:17:12 -79248.922236] SPR radius for FAST iterations: 25 (autodetect) [02:17:12 -79248.922236] Model parameter optimization (eps = 3.000000) [02:17:50 -78937.470239] FAST spr round 1 (radius: 25) [02:20:06 -70351.135240] FAST spr round 2 (radius: 25) [02:20:44] [worker #1] ML tree search #2, logLikelihood: -69985.879045 [02:21:48 -70055.681435] FAST spr round 3 (radius: 25) [02:23:18 -70026.243663] FAST spr round 4 (radius: 25) [02:23:28] [worker #2] ML tree search #8, logLikelihood: -69993.521184 [02:24:34 -70017.847724] FAST spr round 5 (radius: 25) [02:25:44 -70014.698059] FAST spr round 6 (radius: 25) [02:26:49 -70014.697634] Model parameter optimization (eps = 1.000000) [02:27:05 -70008.891595] SLOW spr round 1 (radius: 5) [02:28:34 -70001.782058] SLOW spr round 2 (radius: 5) [02:30:09 -70001.779743] SLOW spr round 3 (radius: 10) [02:31:58 -69998.689872] SLOW spr round 4 (radius: 5) [02:34:10 -69998.689464] SLOW spr round 5 (radius: 10) [02:36:27 -69997.283952] SLOW spr round 6 (radius: 5) [02:38:38 -69993.342217] SLOW spr round 7 (radius: 5) [02:40:28 -69993.342047] SLOW spr round 8 (radius: 10) [02:42:22 -69993.341920] SLOW spr round 9 (radius: 15) [02:46:07 -69993.108957] SLOW spr round 10 (radius: 5) [02:48:32 -69993.004726] SLOW spr round 11 (radius: 5) [02:50:31 -69993.004013] SLOW spr round 12 (radius: 10) [02:52:30 -69993.003909] SLOW spr round 13 (radius: 15) [02:56:11 -69993.003837] SLOW spr round 14 (radius: 20) [03:01:52 -69991.294331] SLOW spr round 15 (radius: 5) [03:04:23 -69991.293160] SLOW spr round 16 (radius: 10) [03:06:56 -69991.292973] SLOW spr round 17 (radius: 15) [03:10:32 -69991.292904] SLOW spr round 18 (radius: 20) [03:16:16 -69991.292855] SLOW spr round 19 (radius: 25) [03:18:17] [worker #3] ML tree search #14, logLikelihood: -69996.814364 [03:22:46 -69990.650109] SLOW spr round 20 (radius: 5) [03:25:20 -69990.631365] SLOW spr round 21 (radius: 10) [03:27:21] [worker #2] ML tree search #13, logLikelihood: -69988.858577 [03:27:59 -69989.773663] SLOW spr round 22 (radius: 5) [03:30:04 -69989.768903] SLOW spr round 23 (radius: 10) [03:32:12 -69989.615857] SLOW spr round 24 (radius: 5) [03:33:24] [worker #4] ML tree search #15, logLikelihood: -69995.226535 [03:34:18 -69989.353686] SLOW spr round 25 (radius: 5) [03:36:06 -69989.353678] SLOW spr round 26 (radius: 10) [03:38:03 -69989.353677] SLOW spr round 27 (radius: 15) [03:41:57 -69989.353521] SLOW spr round 28 (radius: 20) [03:47:50 -69989.232739] SLOW spr round 29 (radius: 5) [03:50:22 -69989.176445] SLOW spr round 30 (radius: 10) [03:52:56 -69989.172459] SLOW spr round 31 (radius: 15) [03:56:37 -69989.170993] SLOW spr round 32 (radius: 20) [03:58:18] [worker #1] ML tree search #7, logLikelihood: -69995.919874 [04:02:28 -69989.170396] SLOW spr round 33 (radius: 25) [04:08:48 -69989.170153] Model parameter optimization (eps = 0.100000) [04:08:53] [worker #0] ML tree search #11, logLikelihood: -69989.086198 [04:08:53 -270663.459392] Initial branch length optimization [04:09:00 -223200.247861] Model parameter optimization (eps = 10.000000) [04:10:04 -222031.135757] AUTODETECT spr round 1 (radius: 5) [04:11:35 -138112.686987] AUTODETECT spr round 2 (radius: 10) [04:13:22 -98066.678850] AUTODETECT spr round 3 (radius: 15) [04:15:33 -82278.324234] AUTODETECT spr round 4 (radius: 20) [04:18:38 -78675.373007] AUTODETECT spr round 5 (radius: 25) [04:22:54 -77090.445696] SPR radius for FAST iterations: 25 (autodetect) [04:22:54 -77090.445696] Model parameter optimization (eps = 3.000000) [04:23:39 -76823.173874] FAST spr round 1 (radius: 25) [04:26:00 -70460.575492] FAST spr round 2 (radius: 25) [04:27:53] [worker #3] ML tree search #19, logLikelihood: -70001.073762 [04:27:55 -70057.845808] FAST spr round 3 (radius: 25) [04:29:22 -70033.670303] FAST spr round 4 (radius: 25) [04:30:40 -70026.364509] FAST spr round 5 (radius: 25) [04:31:50 -70020.161644] FAST spr round 6 (radius: 25) [04:32:59 -70014.211619] FAST spr round 7 (radius: 25) [04:34:05 -70014.210404] Model parameter optimization (eps = 1.000000) [04:34:21 -70010.533942] SLOW spr round 1 (radius: 5) [04:35:51 -69996.893333] SLOW spr round 2 (radius: 5) [04:37:29 -69994.561167] SLOW spr round 3 (radius: 5) [04:39:05 -69994.557910] SLOW spr round 4 (radius: 10) [04:40:58 -69993.721960] SLOW spr round 5 (radius: 5) [04:43:09 -69993.694965] SLOW spr round 6 (radius: 10) [04:45:22 -69992.015957] SLOW spr round 7 (radius: 5) [04:47:27 -69992.015496] SLOW spr round 8 (radius: 10) [04:49:37 -69991.761489] SLOW spr round 9 (radius: 5) [04:51:05] [worker #2] ML tree search #18, logLikelihood: -69992.150821 [04:51:41 -69991.656531] SLOW spr round 10 (radius: 5) [04:53:30 -69991.652157] SLOW spr round 11 (radius: 10) [04:55:29 -69991.651437] SLOW spr round 12 (radius: 15) [04:59:20 -69990.913962] SLOW spr round 13 (radius: 5) [05:01:42 -69990.913676] SLOW spr round 14 (radius: 10) [05:04:11 -69990.913607] SLOW spr round 15 (radius: 15) [05:07:54 -69990.913584] SLOW spr round 16 (radius: 20) [05:13:35 -69989.568045] SLOW spr round 17 (radius: 5) [05:16:04 -69989.566090] SLOW spr round 18 (radius: 10) [05:16:48] [worker #4] ML tree search #20, logLikelihood: -69991.842040 [05:18:43 -69989.565895] SLOW spr round 19 (radius: 15) [05:22:28 -69989.565843] SLOW spr round 20 (radius: 20) [05:28:16 -69989.565821] SLOW spr round 21 (radius: 25) [05:34:25 -69989.565809] Model parameter optimization (eps = 0.100000) [05:34:31] [worker #0] ML tree search #16, logLikelihood: -69989.512689 [06:25:15] [worker #1] ML tree search #12, logLikelihood: -69990.843310 [07:50:39] [worker #1] ML tree search #17, logLikelihood: -69996.583647 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.285609,0.564565) (0.120374,0.899896) (0.361029,0.769515) (0.232988,1.942648) 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: -69985.879045 AIC score: 142245.758090 / AICc score: 2730057.758090 / BIC score: 146654.743674 Free parameters (model + branch lengths): 1137 WARNING: Number of free parameters (K=1137) is larger than alignment size (n=357). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q12802/3_mltree/Q12802.raxml.log Analysis started: 18-Jun-2021 07:55:26 / finished: 18-Jun-2021 15:46:06 Elapsed time: 28239.943 seconds