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 07-Jul-2021 04:49:09 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/2_msa/Q8ND30_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/2_msa/Q8ND30_trimmed_msa.fasta [00:00:00] Loaded alignment with 937 taxa and 624 sites WARNING: Sequences tr_G1RHX2_G1RHX2_NOMLE_61853 and tr_A0A2I2ZKM7_A0A2I2ZKM7_GORGO_9595 are exactly identical! WARNING: Sequences tr_G3QZB7_G3QZB7_GORGO_9595 and tr_A0A2I3SB68_A0A2I3SB68_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QZB7_G3QZB7_GORGO_9595 and tr_A0A2R8ZVW7_A0A2R8ZVW7_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3RCP8_G3RCP8_GORGO_9595 and tr_H2RCI0_H2RCI0_PANTR_9598 are exactly identical! WARNING: Sequences tr_Q29DL1_Q29DL1_DROPS_46245 and tr_B4H6V5_B4H6V5_DROPE_7234 are exactly identical! WARNING: Sequences tr_A0A2I3TL47_A0A2I3TL47_PANTR_9598 and tr_A0A2K6A799_A0A2K6A799_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2I3TL47_A0A2I3TL47_PANTR_9598 and tr_A0A2R8ZMA6_A0A2R8ZMA6_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5Q7H8_A0A1D5Q7H8_MACMU_9544 and tr_A0A2K6CVB2_A0A2K6CVB2_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5QWA2_A0A1D5QWA2_MACMU_9544 and tr_A0A2K5LWE6_A0A2K5LWE6_CERAT_9531 are exactly identical! WARNING: Sequences tr_F6ZCA9_F6ZCA9_MACMU_9544 and tr_A0A2I3MXI1_A0A2I3MXI1_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F6ZCA9_F6ZCA9_MACMU_9544 and tr_A0A2K5MHB3_A0A2K5MHB3_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7ARI0_F7ARI0_MACMU_9544 and tr_A0A2K6CXT0_A0A2K6CXT0_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2I2U896_A0A2I2U896_FELCA_9685 and tr_A0A384DNB0_A0A384DNB0_URSMA_29073 are exactly identical! WARNING: Sequences tr_A0A096NDA3_A0A096NDA3_PAPAN_9555 and tr_A0A2K5N4V7_A0A2K5N4V7_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A0D9QWK8_A0A0D9QWK8_CHLSB_60711 and tr_A0A2K5MIX3_A0A2K5MIX3_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A0V1CLJ9_A0A0V1CLJ9_TRIBR_45882 and tr_A0A0V0VW84_A0A0V0VW84_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V1CLJ9_A0A0V1CLJ9_TRIBR_45882 and tr_A0A0V1L7F3_A0A0V1L7F3_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V1CLJ9_A0A0V1CLJ9_TRIBR_45882 and tr_A0A0V0ZYP6_A0A0V0ZYP6_9BILA_990121 are exactly identical! WARNING: Sequences tr_A0A0V1CLJ9_A0A0V1CLJ9_TRIBR_45882 and tr_A0A0V1PHW2_A0A0V1PHW2_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1N0V9_A0A0V1N0V9_9BILA_268474 and tr_A0A0V1HK14_A0A0V1HK14_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A2D0QTI9_A0A2D0QTI9_ICTPU_7998 and tr_A0A2D0QTJ4_A0A2D0QTJ4_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0QTU3_A0A2D0QTU3_ICTPU_7998 and tr_A0A2D0QTU8_A0A2D0QTU8_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0QTU3_A0A2D0QTU3_ICTPU_7998 and tr_A0A2D0QVH6_A0A2D0QVH6_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0QUK9_A0A2D0QUK9_ICTPU_7998 and tr_A0A2D0QUL4_A0A2D0QUL4_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0QUK9_A0A2D0QUK9_ICTPU_7998 and tr_A0A2D0QUW9_A0A2D0QUW9_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0QUK9_A0A2D0QUK9_ICTPU_7998 and tr_A0A2D0QWH9_A0A2D0QWH9_ICTPU_7998 are exactly identical! WARNING: Duplicate sequences found: 26 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.reduced.phy Alignment comprises 1 partitions and 624 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 624 / 624 Gaps: 19.43 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.rba Parallelization scheme autoconfig: 4 worker(s) x 2 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 937 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 312 / 24960 [00:00:00] Data distribution: max. searches per worker: 5 Starting ML tree search with 20 distinct starting trees [00:00:00 -850025.528336] Initial branch length optimization [00:00:12 -694220.152693] Model parameter optimization (eps = 10.000000) [00:02:12 -690892.203078] AUTODETECT spr round 1 (radius: 5) [00:06:12 -436341.503176] AUTODETECT spr round 2 (radius: 10) [00:10:14 -308733.856840] AUTODETECT spr round 3 (radius: 15) [00:14:58 -243006.607363] AUTODETECT spr round 4 (radius: 20) [00:20:06 -204032.501667] AUTODETECT spr round 5 (radius: 25) [00:26:19 -203143.013739] SPR radius for FAST iterations: 25 (autodetect) [00:26:19 -203143.013739] Model parameter optimization (eps = 3.000000) [00:27:09 -202522.761900] FAST spr round 1 (radius: 25) [00:31:48 -175603.692278] FAST spr round 2 (radius: 25) [00:35:12 -174356.546090] FAST spr round 3 (radius: 25) [00:38:09 -174244.807760] FAST spr round 4 (radius: 25) [00:40:57 -174141.062476] FAST spr round 5 (radius: 25) [00:43:30 -174133.147586] FAST spr round 6 (radius: 25) [00:45:57 -174131.986455] FAST spr round 7 (radius: 25) [00:48:19 -174131.986399] Model parameter optimization (eps = 1.000000) [00:48:42 -174121.112822] SLOW spr round 1 (radius: 5) [00:52:11 -174068.367559] SLOW spr round 2 (radius: 5) [00:55:45 -174064.679009] SLOW spr round 3 (radius: 5) [00:59:09 -174064.676471] SLOW spr round 4 (radius: 10) [01:02:35 -174061.801321] SLOW spr round 5 (radius: 5) [01:06:55 -174061.800500] SLOW spr round 6 (radius: 10) [01:10:50 -174061.800315] SLOW spr round 7 (radius: 15) [01:16:13 -174059.017377] SLOW spr round 8 (radius: 5) [01:20:41 -174059.017332] SLOW spr round 9 (radius: 10) [01:24:47 -174059.017298] SLOW spr round 10 (radius: 15) [01:30:01 -174059.017266] SLOW spr round 11 (radius: 20) [01:37:54 -174058.395039] SLOW spr round 12 (radius: 5) [01:42:24 -174056.741972] SLOW spr round 13 (radius: 5) [01:46:16 -174056.741886] SLOW spr round 14 (radius: 10) [01:49:18] [worker #3] ML tree search #4, logLikelihood: -174044.095554 [01:49:48 -174056.741856] SLOW spr round 15 (radius: 15) [01:51:47] [worker #1] ML tree search #2, logLikelihood: -174046.329507 [01:55:26 -174056.741827] SLOW spr round 16 (radius: 20) [02:03:31 -174056.741798] SLOW spr round 17 (radius: 25) [02:03:50] [worker #2] ML tree search #3, logLikelihood: -174038.319001 [02:13:50 -174056.741769] Model parameter optimization (eps = 0.100000) [02:13:59] [worker #0] ML tree search #1, logLikelihood: -174056.672582 [02:13:59 -868131.395088] Initial branch length optimization [02:14:08 -702211.690408] Model parameter optimization (eps = 10.000000) [02:16:03 -699279.826005] AUTODETECT spr round 1 (radius: 5) [02:20:01 -424435.090534] AUTODETECT spr round 2 (radius: 10) [02:24:01 -295435.811218] AUTODETECT spr round 3 (radius: 15) [02:28:26 -234439.253824] AUTODETECT spr round 4 (radius: 20) [02:34:20 -208047.785340] AUTODETECT spr round 5 (radius: 25) [02:40:38 -202431.392397] SPR radius for FAST iterations: 25 (autodetect) [02:40:38 -202431.392397] Model parameter optimization (eps = 3.000000) [02:41:26 -201521.635017] FAST spr round 1 (radius: 25) [02:46:05 -175548.553865] FAST spr round 2 (radius: 25) [02:49:36 -174317.457527] FAST spr round 3 (radius: 25) [02:52:39 -174174.464159] FAST spr round 4 (radius: 25) [02:55:23 -174166.834094] FAST spr round 5 (radius: 25) [02:57:59 -174162.600604] FAST spr round 6 (radius: 25) [03:00:29 -174160.190378] FAST spr round 7 (radius: 25) [03:02:55 -174160.190349] Model parameter optimization (eps = 1.000000) [03:03:25 -174117.623127] SLOW spr round 1 (radius: 5) [03:06:58 -174077.697574] SLOW spr round 2 (radius: 5) [03:10:33 -174073.031340] SLOW spr round 3 (radius: 5) [03:13:58 -174073.030192] SLOW spr round 4 (radius: 10) [03:17:22 -174067.206275] SLOW spr round 5 (radius: 5) [03:21:40 -174066.337943] SLOW spr round 6 (radius: 5) [03:25:26 -174066.015549] SLOW spr round 7 (radius: 5) [03:28:54 -174066.014595] SLOW spr round 8 (radius: 10) [03:32:14 -174066.014543] SLOW spr round 9 (radius: 15) [03:38:00 -174065.195411] SLOW spr round 10 (radius: 5) [03:39:32] [worker #1] ML tree search #6, logLikelihood: -174084.508921 [03:42:21 -174065.195393] SLOW spr round 11 (radius: 10) [03:46:21 -174065.195379] SLOW spr round 12 (radius: 15) [03:49:44] [worker #2] ML tree search #7, logLikelihood: -174054.158458 [03:51:40 -174065.195364] SLOW spr round 13 (radius: 20) [03:57:44] [worker #3] ML tree search #8, logLikelihood: -174060.328288 [04:00:17 -174064.596810] SLOW spr round 14 (radius: 5) [04:05:05 -174062.776631] SLOW spr round 15 (radius: 5) [04:09:13 -174061.498258] SLOW spr round 16 (radius: 5) [04:12:55 -174061.495904] SLOW spr round 17 (radius: 10) [04:16:26 -174061.495412] SLOW spr round 18 (radius: 15) [04:22:23 -174061.495329] SLOW spr round 19 (radius: 20) [04:31:04 -174061.495307] SLOW spr round 20 (radius: 25) [04:42:31 -174061.495290] Model parameter optimization (eps = 0.100000) [04:42:48] [worker #0] ML tree search #5, logLikelihood: -174060.649584 [04:42:48 -863739.530380] Initial branch length optimization [04:42:57 -697662.493833] Model parameter optimization (eps = 10.000000) [04:44:42 -694461.389776] AUTODETECT spr round 1 (radius: 5) [04:48:33 -434119.472512] AUTODETECT spr round 2 (radius: 10) [04:52:25 -302762.835746] AUTODETECT spr round 3 (radius: 15) [04:56:55 -251038.659515] AUTODETECT spr round 4 (radius: 20) [05:02:57 -216730.160870] AUTODETECT spr round 5 (radius: 25) [05:09:23 -207279.897432] SPR radius for FAST iterations: 25 (autodetect) [05:09:23 -207279.897432] Model parameter optimization (eps = 3.000000) [05:10:14 -206691.256342] FAST spr round 1 (radius: 25) [05:15:10 -176296.321276] FAST spr round 2 (radius: 25) [05:19:04 -174366.675883] FAST spr round 3 (radius: 25) [05:22:14 -174235.488105] FAST spr round 4 (radius: 25) [05:25:08 -174194.655503] FAST spr round 5 (radius: 25) [05:27:50 -174191.250137] FAST spr round 6 (radius: 25) [05:30:20 -174190.785015] FAST spr round 7 (radius: 25) [05:32:43 -174190.784626] Model parameter optimization (eps = 1.000000) [05:33:16 -174099.553039] SLOW spr round 1 (radius: 5) [05:36:58 -174053.977793] SLOW spr round 2 (radius: 5) [05:40:27 -174050.261233] SLOW spr round 3 (radius: 5) [05:43:46 -174050.260699] SLOW spr round 4 (radius: 10) [05:47:06 -174043.086941] SLOW spr round 5 (radius: 5) [05:48:43] [worker #2] ML tree search #11, logLikelihood: -174059.961150 [05:49:27] [worker #1] ML tree search #10, logLikelihood: -174051.428633 [05:51:26 -174043.086143] SLOW spr round 6 (radius: 10) [05:55:24 -174043.086046] SLOW spr round 7 (radius: 15) [06:00:50 -174041.433054] SLOW spr round 8 (radius: 5) [06:05:27 -174041.432154] SLOW spr round 9 (radius: 10) [06:09:34 -174041.432120] SLOW spr round 10 (radius: 15) [06:14:55 -174041.432107] SLOW spr round 11 (radius: 20) [06:23:02 -174039.073411] SLOW spr round 12 (radius: 5) [06:27:44 -174038.393265] SLOW spr round 13 (radius: 5) [06:31:47 -174038.382172] SLOW spr round 14 (radius: 10) [06:31:49] [worker #3] ML tree search #12, logLikelihood: -174033.413560 [06:35:28 -174038.379975] SLOW spr round 15 (radius: 15) [06:40:52 -174038.379512] SLOW spr round 16 (radius: 20) [06:48:49 -174038.379405] SLOW spr round 17 (radius: 25) [06:59:13 -174038.379373] Model parameter optimization (eps = 0.100000) [06:59:31] [worker #0] ML tree search #9, logLikelihood: -174038.244462 [06:59:31 -869169.959522] Initial branch length optimization [06:59:39 -705175.358591] Model parameter optimization (eps = 10.000000) [07:01:17 -702143.807027] AUTODETECT spr round 1 (radius: 5) [07:05:17 -435828.533485] AUTODETECT spr round 2 (radius: 10) [07:09:18 -295693.266021] AUTODETECT spr round 3 (radius: 15) [07:13:42 -245990.675200] AUTODETECT spr round 4 (radius: 20) [07:19:01 -228068.427145] AUTODETECT spr round 5 (radius: 25) [07:25:39 -208189.727209] SPR radius for FAST iterations: 25 (autodetect) [07:25:39 -208189.727209] Model parameter optimization (eps = 3.000000) [07:26:01] [worker #2] ML tree search #15, logLikelihood: -174038.606308 [07:26:36 -207440.244319] FAST spr round 1 (radius: 25) [07:31:17 -175562.760256] FAST spr round 2 (radius: 25) [07:34:59 -174212.605740] FAST spr round 3 (radius: 25) [07:38:09 -174121.502357] FAST spr round 4 (radius: 25) [07:38:33] [worker #1] ML tree search #14, logLikelihood: -174066.164110 [07:40:58 -174099.153256] FAST spr round 5 (radius: 25) [07:43:30 -174096.101926] FAST spr round 6 (radius: 25) [07:45:57 -174096.101818] Model parameter optimization (eps = 1.000000) [07:46:19 -174086.926625] SLOW spr round 1 (radius: 5) [07:49:51 -174042.859448] SLOW spr round 2 (radius: 5) [07:53:22 -174036.041285] SLOW spr round 3 (radius: 5) [07:56:43 -174036.039804] SLOW spr round 4 (radius: 10) [08:00:02 -174036.039471] SLOW spr round 5 (radius: 15) [08:05:45 -174034.991637] SLOW spr round 6 (radius: 5) [08:10:09 -174034.445236] SLOW spr round 7 (radius: 5) [08:13:59 -174034.444823] SLOW spr round 8 (radius: 10) [08:16:05] [worker #3] ML tree search #16, logLikelihood: -174041.905312 [08:17:30 -174034.444782] SLOW spr round 9 (radius: 15) [08:23:01 -174034.444765] SLOW spr round 10 (radius: 20) [08:31:17 -174034.444752] SLOW spr round 11 (radius: 25) [08:41:59 -174034.444739] Model parameter optimization (eps = 0.100000) [08:42:07] [worker #0] ML tree search #13, logLikelihood: -174034.375348 [08:42:07 -870578.760390] Initial branch length optimization [08:42:17 -705031.607119] Model parameter optimization (eps = 10.000000) [08:44:37 -701339.144368] AUTODETECT spr round 1 (radius: 5) [08:48:32 -436651.825525] AUTODETECT spr round 2 (radius: 10) [08:52:32 -307069.431317] AUTODETECT spr round 3 (radius: 15) [08:57:04 -241367.652893] AUTODETECT spr round 4 (radius: 20) [09:03:19 -210145.420696] AUTODETECT spr round 5 (radius: 25) [09:10:48 -206105.231233] SPR radius for FAST iterations: 25 (autodetect) [09:10:48 -206105.231233] Model parameter optimization (eps = 3.000000) [09:11:35 -205485.953688] FAST spr round 1 (radius: 25) [09:16:05 -175272.840868] FAST spr round 2 (radius: 25) [09:19:21 -174257.029105] FAST spr round 3 (radius: 25) [09:22:15 -174182.203621] FAST spr round 4 (radius: 25) [09:22:33] [worker #2] ML tree search #19, logLikelihood: -174048.601783 [09:24:51 -174175.183644] FAST spr round 5 (radius: 25) [09:26:10] [worker #1] ML tree search #18, logLikelihood: -174070.766692 [09:27:16 -174174.461105] FAST spr round 6 (radius: 25) [09:29:36 -174174.460450] Model parameter optimization (eps = 1.000000) [09:30:08 -174109.661646] SLOW spr round 1 (radius: 5) [09:33:33 -174050.701852] SLOW spr round 2 (radius: 5) [09:36:58 -174041.505785] SLOW spr round 3 (radius: 5) [09:40:22 -174040.929963] SLOW spr round 4 (radius: 5) [09:43:40 -174040.929618] SLOW spr round 5 (radius: 10) [09:47:00 -174038.492368] SLOW spr round 6 (radius: 5) [09:51:13 -174038.491560] SLOW spr round 7 (radius: 10) [09:55:02 -174038.491374] SLOW spr round 8 (radius: 15) [10:00:28 -174036.832450] SLOW spr round 9 (radius: 5) [10:04:52 -174036.832266] SLOW spr round 10 (radius: 10) [10:07:29] [worker #3] ML tree search #20, logLikelihood: -174046.486026 [10:08:55 -174036.832218] SLOW spr round 11 (radius: 15) [10:14:14 -174036.107475] SLOW spr round 12 (radius: 5) [10:18:38 -174036.106528] SLOW spr round 13 (radius: 10) [10:22:40 -174036.106486] SLOW spr round 14 (radius: 15) [10:27:57 -174036.106449] SLOW spr round 15 (radius: 20) [10:36:13 -174036.106412] SLOW spr round 16 (radius: 25) [10:46:54 -174032.619034] SLOW spr round 17 (radius: 5) [10:51:29 -174032.288223] SLOW spr round 18 (radius: 5) [10:55:24 -174032.287297] SLOW spr round 19 (radius: 10) [10:58:59 -174032.287262] SLOW spr round 20 (radius: 15) [11:04:28 -174032.287227] SLOW spr round 21 (radius: 20) [11:12:39 -174032.287193] SLOW spr round 22 (radius: 25) [11:23:22 -174032.287159] Model parameter optimization (eps = 0.100000) [11:23:41] [worker #0] ML tree search #17, logLikelihood: -174031.448041 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.181956,0.626863) (0.104351,1.449424) (0.402852,0.747375) (0.310841,1.394952) 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: -174031.448041 AIC score: 351816.896083 / AICc score: 7401828.896083 / BIC score: 360143.550324 Free parameters (model + branch lengths): 1877 WARNING: Number of free parameters (K=1877) is larger than alignment size (n=624). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8ND30/3_mltree/Q8ND30.raxml.log Analysis started: 07-Jul-2021 04:49:09 / finished: 07-Jul-2021 16:12:51 Elapsed time: 41021.801 seconds