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 23-Jun-2021 22:17:39 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/2_msa/Q3T906_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/3_mltree/Q3T906 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/2_msa/Q3T906_trimmed_msa.fasta [00:00:00] Loaded alignment with 437 taxa and 605 sites WARNING: Sequences tr_H2Q6Q4_H2Q6Q4_PANTR_9598 and sp_Q3T906_GNPTA_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2Q6Q4_H2Q6Q4_PANTR_9598 and tr_A0A2R9CF47_A0A2R9CF47_PANPA_9597 are exactly identical! WARNING: Sequences tr_F7E3Z4_F7E3Z4_MACMU_9544 and tr_A0A0D9S1H9_A0A0D9S1H9_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7E3Z4_F7E3Z4_MACMU_9544 and tr_A0A2K5NH32_A0A2K5NH32_CERAT_9531 are exactly identical! WARNING: Sequences tr_W2QJL9_W2QJL9_PHYPN_761204 and tr_A0A0W8AY58_A0A0W8AY58_PHYNI_4790 are exactly identical! WARNING: Sequences tr_W2QJL9_W2QJL9_PHYPN_761204 and tr_W2LPR3_W2LPR3_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A091IT57_A0A091IT57_EGRGA_188379 and tr_A0A087RJK4_A0A087RJK4_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A226NPI7_A0A226NPI7_CALSU_9009 and tr_A0A226PW51_A0A226PW51_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2U3ZYU4_A0A2U3ZYU4_TURTR_9739 and tr_A0A2Y9QD20_A0A2Y9QD20_DELLE_9749 are exactly identical! WARNING: Duplicate sequences found: 9 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/Q3T906/3_mltree/Q3T906.raxml.reduced.phy Alignment comprises 1 partitions and 605 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 605 / 605 Gaps: 29.99 % Invariant sites: 0.00 % NOTE: Binary MSA file already exists: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/3_mltree/Q3T906.raxml.rba Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 437 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 87 / 6960 [00:00:00] Data distribution: max. searches per worker: 20 Starting ML tree search with 20 distinct starting trees [00:00:00 -386022.798920] Initial branch length optimization [00:00:01 -291793.580981] Model parameter optimization (eps = 10.000000) [00:00:26 -290413.136584] AUTODETECT spr round 1 (radius: 5) [00:00:53 -260400.891692] AUTODETECT spr round 2 (radius: 10) [00:01:24 -225405.891133] AUTODETECT spr round 3 (radius: 15) [00:01:59 -206417.690008] AUTODETECT spr round 4 (radius: 20) [00:02:47 -182200.873973] AUTODETECT spr round 5 (radius: 25) [00:03:39 -179333.662928] SPR radius for FAST iterations: 25 (autodetect) [00:03:39 -179333.662928] Model parameter optimization (eps = 3.000000) [00:04:03 -178222.222959] FAST spr round 1 (radius: 25) [00:04:59 -159447.769310] FAST spr round 2 (radius: 25) [00:05:39 -158879.197496] FAST spr round 3 (radius: 25) [00:06:13 -158809.175622] FAST spr round 4 (radius: 25) [00:06:37 -158807.920286] FAST spr round 5 (radius: 25) [00:07:02 -158807.638948] FAST spr round 6 (radius: 25) [00:07:25 -158807.638106] Model parameter optimization (eps = 1.000000) [00:07:34 -158787.986838] SLOW spr round 1 (radius: 5) [00:08:17 -158731.603093] SLOW spr round 2 (radius: 5) [00:08:56 -158721.441366] SLOW spr round 3 (radius: 5) [00:09:33 -158719.655922] SLOW spr round 4 (radius: 5) [00:10:10 -158718.649528] SLOW spr round 5 (radius: 5) [00:10:48 -158712.615895] SLOW spr round 6 (radius: 5) [00:11:26 -158711.002033] SLOW spr round 7 (radius: 5) [00:12:01 -158711.001344] SLOW spr round 8 (radius: 10) [00:12:40 -158711.001318] SLOW spr round 9 (radius: 15) [00:14:05 -158711.001314] SLOW spr round 10 (radius: 20) [00:16:02 -158711.001313] SLOW spr round 11 (radius: 25) [00:17:58 -158711.001313] Model parameter optimization (eps = 0.100000) [00:18:05] ML tree search #1, logLikelihood: -158710.234556 [00:18:05 -387385.679870] Initial branch length optimization [00:18:06 -292705.452702] Model parameter optimization (eps = 10.000000) [00:18:32 -291416.877804] AUTODETECT spr round 1 (radius: 5) [00:19:02 -257188.189736] AUTODETECT spr round 2 (radius: 10) [00:19:39 -216566.152807] AUTODETECT spr round 3 (radius: 15) [00:20:21 -181838.175219] AUTODETECT spr round 4 (radius: 20) [00:21:08 -176223.382368] AUTODETECT spr round 5 (radius: 25) [00:22:12 -175933.778792] SPR radius for FAST iterations: 25 (autodetect) [00:22:12 -175933.778792] Model parameter optimization (eps = 3.000000) [00:22:35 -174900.058110] FAST spr round 1 (radius: 25) [00:23:26 -159291.936005] FAST spr round 2 (radius: 25) [00:24:06 -158822.773492] FAST spr round 3 (radius: 25) [00:24:37 -158776.902369] FAST spr round 4 (radius: 25) [00:25:03 -158774.819607] FAST spr round 5 (radius: 25) [00:25:27 -158774.819081] Model parameter optimization (eps = 1.000000) [00:25:35 -158757.146108] SLOW spr round 1 (radius: 5) [00:26:17 -158721.465756] SLOW spr round 2 (radius: 5) [00:26:55 -158716.358840] SLOW spr round 3 (radius: 5) [00:27:32 -158713.843036] SLOW spr round 4 (radius: 5) [00:28:07 -158713.842602] SLOW spr round 5 (radius: 10) [00:28:49 -158713.842577] SLOW spr round 6 (radius: 15) [00:30:22 -158713.842574] SLOW spr round 7 (radius: 20) [00:32:20 -158713.842573] SLOW spr round 8 (radius: 25) [00:34:02 -158713.842572] Model parameter optimization (eps = 0.100000) [00:34:08] ML tree search #2, logLikelihood: -158713.718518 [00:34:08 -388105.732382] Initial branch length optimization [00:34:09 -292600.599750] Model parameter optimization (eps = 10.000000) [00:34:41 -291267.334208] AUTODETECT spr round 1 (radius: 5) [00:35:11 -255904.035312] AUTODETECT spr round 2 (radius: 10) [00:35:46 -217458.913777] AUTODETECT spr round 3 (radius: 15) [00:36:22 -183784.532643] AUTODETECT spr round 4 (radius: 20) [00:37:07 -176874.018219] AUTODETECT spr round 5 (radius: 25) [00:38:00 -176442.712848] SPR radius for FAST iterations: 25 (autodetect) [00:38:00 -176442.712848] Model parameter optimization (eps = 3.000000) [00:38:21 -175578.545027] FAST spr round 1 (radius: 25) [00:39:10 -159476.138901] FAST spr round 2 (radius: 25) [00:39:47 -158795.740068] FAST spr round 3 (radius: 25) [00:40:19 -158754.209623] FAST spr round 4 (radius: 25) [00:40:46 -158746.419236] FAST spr round 5 (radius: 25) [00:41:12 -158746.419008] Model parameter optimization (eps = 1.000000) [00:41:21 -158731.232575] SLOW spr round 1 (radius: 5) [00:42:00 -158714.883632] SLOW spr round 2 (radius: 5) [00:42:39 -158714.883133] SLOW spr round 3 (radius: 10) [00:43:22 -158714.169170] SLOW spr round 4 (radius: 5) [00:44:13 -158714.167671] SLOW spr round 5 (radius: 10) [00:45:03 -158713.575250] SLOW spr round 6 (radius: 5) [00:45:50 -158713.575240] SLOW spr round 7 (radius: 10) [00:46:37 -158713.575238] SLOW spr round 8 (radius: 15) [00:47:59 -158713.575237] SLOW spr round 9 (radius: 20) [00:49:51 -158713.575237] SLOW spr round 10 (radius: 25) [00:51:29 -158713.575236] Model parameter optimization (eps = 0.100000) [00:51:32] ML tree search #3, logLikelihood: -158713.555799 [00:51:32 -383635.035947] Initial branch length optimization [00:51:34 -291690.616949] Model parameter optimization (eps = 10.000000) [00:52:02 -290427.839158] AUTODETECT spr round 1 (radius: 5) [00:52:31 -254774.496448] AUTODETECT spr round 2 (radius: 10) [00:53:05 -220511.181520] AUTODETECT spr round 3 (radius: 15) [00:53:45 -183877.127773] AUTODETECT spr round 4 (radius: 20) [00:54:36 -176547.566545] AUTODETECT spr round 5 (radius: 25) [00:55:33 -175518.165072] SPR radius for FAST iterations: 25 (autodetect) [00:55:33 -175518.165072] Model parameter optimization (eps = 3.000000) [00:55:54 -174773.745237] FAST spr round 1 (radius: 25) [00:56:45 -159334.628995] FAST spr round 2 (radius: 25) [00:57:23 -158787.861449] FAST spr round 3 (radius: 25) [00:57:54 -158778.116940] FAST spr round 4 (radius: 25) [00:58:22 -158773.190393] FAST spr round 5 (radius: 25) [00:58:48 -158773.190079] Model parameter optimization (eps = 1.000000) [00:58:58 -158757.618464] SLOW spr round 1 (radius: 5) [00:59:40 -158731.140871] SLOW spr round 2 (radius: 5) [01:00:18 -158730.265703] SLOW spr round 3 (radius: 5) [01:00:56 -158727.380065] SLOW spr round 4 (radius: 5) [01:01:32 -158727.379555] SLOW spr round 5 (radius: 10) [01:02:12 -158721.317173] SLOW spr round 6 (radius: 5) [01:03:00 -158719.713365] SLOW spr round 7 (radius: 5) [01:03:43 -158714.855739] SLOW spr round 8 (radius: 5) [01:04:22 -158714.853267] SLOW spr round 9 (radius: 10) [01:05:03 -158714.852907] SLOW spr round 10 (radius: 15) [01:06:30 -158714.852834] SLOW spr round 11 (radius: 20) [01:08:33 -158714.852813] SLOW spr round 12 (radius: 25) [01:10:30 -158714.852805] Model parameter optimization (eps = 0.100000) [01:10:34] ML tree search #4, logLikelihood: -158714.662379 [01:10:34 -384462.539194] Initial branch length optimization [01:10:35 -290562.384228] Model parameter optimization (eps = 10.000000) [01:10:58 -289209.871528] AUTODETECT spr round 1 (radius: 5) [01:11:27 -259070.318871] AUTODETECT spr round 2 (radius: 10) [01:12:00 -224036.716022] AUTODETECT spr round 3 (radius: 15) [01:12:42 -184177.729466] AUTODETECT spr round 4 (radius: 20) [01:13:27 -176112.236677] AUTODETECT spr round 5 (radius: 25) [01:14:23 -175829.846156] SPR radius for FAST iterations: 25 (autodetect) [01:14:23 -175829.846156] Model parameter optimization (eps = 3.000000) [01:14:39 -175154.060075] FAST spr round 1 (radius: 25) [01:15:24 -159411.785453] FAST spr round 2 (radius: 25) [01:15:56 -158822.618470] FAST spr round 3 (radius: 25) [01:16:24 -158801.327000] FAST spr round 4 (radius: 25) [01:16:50 -158800.234563] FAST spr round 5 (radius: 25) [01:17:14 -158800.233229] Model parameter optimization (eps = 1.000000) [01:17:24 -158780.212533] SLOW spr round 1 (radius: 5) [01:18:02 -158730.755474] SLOW spr round 2 (radius: 5) [01:18:39 -158725.943340] SLOW spr round 3 (radius: 5) [01:19:14 -158725.942590] SLOW spr round 4 (radius: 10) [01:19:55 -158724.973696] SLOW spr round 5 (radius: 5) [01:20:44 -158723.958308] SLOW spr round 6 (radius: 5) [01:21:25 -158723.894419] SLOW spr round 7 (radius: 10) [01:22:10 -158723.894191] SLOW spr round 8 (radius: 15) [01:23:37 -158723.894184] SLOW spr round 9 (radius: 20) [01:25:34 -158723.894183] SLOW spr round 10 (radius: 25) [01:27:16 -158723.894182] Model parameter optimization (eps = 0.100000) [01:27:21] ML tree search #5, logLikelihood: -158723.748641 [01:27:21 -378271.697885] Initial branch length optimization [01:27:22 -288452.449346] Model parameter optimization (eps = 10.000000) [01:27:51 -287175.528890] AUTODETECT spr round 1 (radius: 5) [01:28:19 -250788.583642] AUTODETECT spr round 2 (radius: 10) [01:28:52 -222541.462088] AUTODETECT spr round 3 (radius: 15) [01:29:32 -184679.517792] AUTODETECT spr round 4 (radius: 20) [01:30:18 -177312.754644] AUTODETECT spr round 5 (radius: 25) [01:31:12 -174780.939900] SPR radius for FAST iterations: 25 (autodetect) [01:31:12 -174780.939900] Model parameter optimization (eps = 3.000000) [01:31:27 -173943.248957] FAST spr round 1 (radius: 25) [01:32:16 -159281.344515] FAST spr round 2 (radius: 25) [01:32:48 -158811.096131] FAST spr round 3 (radius: 25) [01:33:17 -158776.383983] FAST spr round 4 (radius: 25) [01:33:41 -158775.370476] FAST spr round 5 (radius: 25) [01:34:05 -158775.370416] Model parameter optimization (eps = 1.000000) [01:34:13 -158762.975619] SLOW spr round 1 (radius: 5) [01:34:52 -158727.510072] SLOW spr round 2 (radius: 5) [01:35:28 -158725.935396] SLOW spr round 3 (radius: 5) [01:36:04 -158725.934495] SLOW spr round 4 (radius: 10) [01:36:44 -158725.286106] SLOW spr round 5 (radius: 5) [01:37:33 -158722.422357] SLOW spr round 6 (radius: 5) [01:38:15 -158722.422092] SLOW spr round 7 (radius: 10) [01:39:00 -158721.627950] SLOW spr round 8 (radius: 5) [01:39:47 -158721.627947] SLOW spr round 9 (radius: 10) [01:40:36 -158721.150247] SLOW spr round 10 (radius: 5) [01:41:22 -158721.149762] SLOW spr round 11 (radius: 10) [01:42:10 -158721.149734] SLOW spr round 12 (radius: 15) [01:43:36 -158721.149729] SLOW spr round 13 (radius: 20) [01:45:23 -158721.149726] SLOW spr round 14 (radius: 25) [01:46:55 -158721.149724] Model parameter optimization (eps = 0.100000) [01:47:02] ML tree search #6, logLikelihood: -158720.434917 [01:47:02 -385181.333988] Initial branch length optimization [01:47:03 -291401.968527] Model parameter optimization (eps = 10.000000) [01:47:29 -290083.628483] AUTODETECT spr round 1 (radius: 5) [01:47:58 -252929.212182] AUTODETECT spr round 2 (radius: 10) [01:48:31 -225250.944893] AUTODETECT spr round 3 (radius: 15) [01:49:14 -186127.210456] AUTODETECT spr round 4 (radius: 20) [01:50:05 -176872.788785] AUTODETECT spr round 5 (radius: 25) [01:51:02 -176224.518335] SPR radius for FAST iterations: 25 (autodetect) [01:51:02 -176224.518335] Model parameter optimization (eps = 3.000000) [01:51:31 -175141.498281] FAST spr round 1 (radius: 25) [01:52:23 -159194.968800] FAST spr round 2 (radius: 25) [01:52:59 -158816.705352] FAST spr round 3 (radius: 25) [01:53:32 -158760.526280] FAST spr round 4 (radius: 25) [01:53:58 -158756.980905] FAST spr round 5 (radius: 25) [01:54:23 -158756.980040] Model parameter optimization (eps = 1.000000) [01:54:30 -158747.901114] SLOW spr round 1 (radius: 5) [01:55:11 -158719.864531] SLOW spr round 2 (radius: 5) [01:55:50 -158713.958100] SLOW spr round 3 (radius: 5) [01:56:27 -158713.611546] SLOW spr round 4 (radius: 5) [01:57:04 -158713.611188] SLOW spr round 5 (radius: 10) [01:57:45 -158710.970616] SLOW spr round 6 (radius: 5) [01:58:34 -158709.735996] SLOW spr round 7 (radius: 5) [01:59:15 -158709.734400] SLOW spr round 8 (radius: 10) [01:59:58 -158709.734212] SLOW spr round 9 (radius: 15) [02:01:26 -158709.734190] SLOW spr round 10 (radius: 20) [02:03:16 -158709.734186] SLOW spr round 11 (radius: 25) [02:04:52 -158709.734186] Model parameter optimization (eps = 0.100000) [02:04:58] ML tree search #7, logLikelihood: -158709.411099 [02:04:58 -383717.552413] Initial branch length optimization [02:04:59 -290139.599945] Model parameter optimization (eps = 10.000000) [02:05:27 -288876.015969] AUTODETECT spr round 1 (radius: 5) [02:05:55 -253596.532485] AUTODETECT spr round 2 (radius: 10) [02:06:28 -217009.281145] AUTODETECT spr round 3 (radius: 15) [02:07:06 -191013.959134] AUTODETECT spr round 4 (radius: 20) [02:07:53 -177494.630891] AUTODETECT spr round 5 (radius: 25) [02:08:47 -175504.489905] SPR radius for FAST iterations: 25 (autodetect) [02:08:47 -175504.489905] Model parameter optimization (eps = 3.000000) [02:09:10 -174613.843874] FAST spr round 1 (radius: 25) [02:10:05 -159373.281647] FAST spr round 2 (radius: 25) [02:10:42 -158852.719568] FAST spr round 3 (radius: 25) [02:11:14 -158764.629236] FAST spr round 4 (radius: 25) [02:11:40 -158761.655182] FAST spr round 5 (radius: 25) [02:12:05 -158756.434557] FAST spr round 6 (radius: 25) [02:12:29 -158756.434185] Model parameter optimization (eps = 1.000000) [02:12:36 -158741.875957] SLOW spr round 1 (radius: 5) [02:13:16 -158710.819267] SLOW spr round 2 (radius: 5) [02:13:53 -158708.562698] SLOW spr round 3 (radius: 5) [02:14:29 -158708.003001] SLOW spr round 4 (radius: 5) [02:15:04 -158708.002966] SLOW spr round 5 (radius: 10) [02:15:44 -158706.320413] SLOW spr round 6 (radius: 5) [02:16:32 -158706.319692] SLOW spr round 7 (radius: 10) [02:17:20 -158705.946748] SLOW spr round 8 (radius: 5) [02:18:07 -158705.601179] SLOW spr round 9 (radius: 5) [02:18:48 -158705.236218] SLOW spr round 10 (radius: 5) [02:19:25 -158705.236062] SLOW spr round 11 (radius: 10) [02:20:05 -158705.236057] SLOW spr round 12 (radius: 15) [02:21:32 -158705.236056] SLOW spr round 13 (radius: 20) [02:23:29 -158705.236055] SLOW spr round 14 (radius: 25) [02:25:24 -158705.236054] Model parameter optimization (eps = 0.100000) [02:25:27] ML tree search #8, logLikelihood: -158704.860798 [02:25:28 -386308.205279] Initial branch length optimization [02:25:29 -291166.309321] Model parameter optimization (eps = 10.000000) [02:25:55 -289797.835372] AUTODETECT spr round 1 (radius: 5) [02:26:22 -257681.863574] AUTODETECT spr round 2 (radius: 10) [02:26:54 -214655.689619] AUTODETECT spr round 3 (radius: 15) [02:27:30 -182740.076234] AUTODETECT spr round 4 (radius: 20) [02:28:16 -177016.347219] AUTODETECT spr round 5 (radius: 25) [02:29:14 -176475.883430] SPR radius for FAST iterations: 25 (autodetect) [02:29:14 -176475.883430] Model parameter optimization (eps = 3.000000) [02:29:37 -175482.050462] FAST spr round 1 (radius: 25) [02:30:30 -159522.512186] FAST spr round 2 (radius: 25) [02:31:08 -158833.535273] FAST spr round 3 (radius: 25) [02:31:41 -158812.917752] FAST spr round 4 (radius: 25) [02:32:10 -158802.317260] FAST spr round 5 (radius: 25) [02:32:34 -158802.316863] Model parameter optimization (eps = 1.000000) [02:32:44 -158789.005242] SLOW spr round 1 (radius: 5) [02:33:25 -158737.974288] SLOW spr round 2 (radius: 5) [02:34:05 -158723.783085] SLOW spr round 3 (radius: 5) [02:34:43 -158718.641405] SLOW spr round 4 (radius: 5) [02:35:19 -158718.640214] SLOW spr round 5 (radius: 10) [02:36:01 -158717.955975] SLOW spr round 6 (radius: 5) [02:36:49 -158717.955953] SLOW spr round 7 (radius: 10) [02:37:39 -158717.955951] SLOW spr round 8 (radius: 15) [02:39:04 -158717.955950] SLOW spr round 9 (radius: 20) [02:41:00 -158717.955950] SLOW spr round 10 (radius: 25) [02:42:39 -158717.955950] Model parameter optimization (eps = 0.100000) [02:42:44] ML tree search #9, logLikelihood: -158717.271688 [02:42:44 -384012.270008] Initial branch length optimization [02:42:46 -290728.171640] Model parameter optimization (eps = 10.000000) [02:43:10 -289459.397698] AUTODETECT spr round 1 (radius: 5) [02:43:36 -258779.783219] AUTODETECT spr round 2 (radius: 10) [02:44:09 -222484.207260] AUTODETECT spr round 3 (radius: 15) [02:44:47 -200091.770152] AUTODETECT spr round 4 (radius: 20) [02:45:34 -185626.217729] AUTODETECT spr round 5 (radius: 25) [02:46:21 -183723.826229] SPR radius for FAST iterations: 25 (autodetect) [02:46:21 -183723.826229] Model parameter optimization (eps = 3.000000) [02:46:45 -183010.285848] FAST spr round 1 (radius: 25) [02:47:36 -159381.137395] FAST spr round 2 (radius: 25) [02:48:13 -158799.887926] FAST spr round 3 (radius: 25) [02:48:45 -158770.824746] FAST spr round 4 (radius: 25) [02:49:09 -158770.824490] Model parameter optimization (eps = 1.000000) [02:49:17 -158756.269236] SLOW spr round 1 (radius: 5) [02:49:58 -158725.716191] SLOW spr round 2 (radius: 5) [02:50:34 -158725.346797] SLOW spr round 3 (radius: 5) [02:51:09 -158725.346288] SLOW spr round 4 (radius: 10) [02:51:49 -158725.346257] SLOW spr round 5 (radius: 15) [02:53:25 -158724.934330] SLOW spr round 6 (radius: 5) [02:54:14 -158724.934329] SLOW spr round 7 (radius: 10) [02:55:05 -158724.934328] SLOW spr round 8 (radius: 15) [02:56:31 -158724.934328] SLOW spr round 9 (radius: 20) [02:58:31 -158724.934328] SLOW spr round 10 (radius: 25) [03:00:15 -158724.934328] Model parameter optimization (eps = 0.100000) [03:00:18] ML tree search #10, logLikelihood: -158724.902020 [03:00:18 -387311.142391] Initial branch length optimization [03:00:19 -291516.009577] Model parameter optimization (eps = 10.000000) [03:00:43 -290215.932164] AUTODETECT spr round 1 (radius: 5) [03:01:09 -259652.732629] AUTODETECT spr round 2 (radius: 10) [03:01:43 -223256.903364] AUTODETECT spr round 3 (radius: 15) [03:02:25 -191961.664853] AUTODETECT spr round 4 (radius: 20) [03:03:12 -176684.868283] AUTODETECT spr round 5 (radius: 25) [03:04:09 -173409.178369] SPR radius for FAST iterations: 25 (autodetect) [03:04:09 -173409.178369] Model parameter optimization (eps = 3.000000) [03:04:27 -172234.738724] FAST spr round 1 (radius: 25) [03:05:15 -159362.510181] FAST spr round 2 (radius: 25) [03:05:51 -158797.708449] FAST spr round 3 (radius: 25) [03:06:22 -158771.903883] FAST spr round 4 (radius: 25) [03:06:46 -158770.596007] FAST spr round 5 (radius: 25) [03:07:09 -158770.596005] Model parameter optimization (eps = 1.000000) [03:07:18 -158757.587058] SLOW spr round 1 (radius: 5) [03:07:58 -158724.922578] SLOW spr round 2 (radius: 5) [03:08:35 -158720.186265] SLOW spr round 3 (radius: 5) [03:09:11 -158717.441223] SLOW spr round 4 (radius: 5) [03:09:46 -158717.440918] SLOW spr round 5 (radius: 10) [03:10:25 -158716.645259] SLOW spr round 6 (radius: 5) [03:11:12 -158716.645256] SLOW spr round 7 (radius: 10) [03:11:59 -158716.645256] SLOW spr round 8 (radius: 15) [03:13:15 -158716.645255] SLOW spr round 9 (radius: 20) [03:15:08 -158716.645254] SLOW spr round 10 (radius: 25) [03:16:58 -158716.645254] Model parameter optimization (eps = 0.100000) [03:17:00] ML tree search #11, logLikelihood: -158716.586004 [03:17:00 -384824.149336] Initial branch length optimization [03:17:02 -291675.840572] Model parameter optimization (eps = 10.000000) [03:17:27 -290405.170335] AUTODETECT spr round 1 (radius: 5) [03:17:54 -258339.300751] AUTODETECT spr round 2 (radius: 10) [03:18:26 -216389.934497] AUTODETECT spr round 3 (radius: 15) [03:19:05 -176659.527425] AUTODETECT spr round 4 (radius: 20) [03:19:51 -173473.581960] AUTODETECT spr round 5 (radius: 25) [03:20:48 -173302.660965] SPR radius for FAST iterations: 25 (autodetect) [03:20:48 -173302.660965] Model parameter optimization (eps = 3.000000) [03:21:08 -172697.639357] FAST spr round 1 (radius: 25) [03:21:53 -159438.857146] FAST spr round 2 (radius: 25) [03:22:26 -158842.845737] FAST spr round 3 (radius: 25) [03:22:55 -158778.775844] FAST spr round 4 (radius: 25) [03:23:19 -158775.989050] FAST spr round 5 (radius: 25) [03:23:42 -158775.987594] Model parameter optimization (eps = 1.000000) [03:23:51 -158765.385305] SLOW spr round 1 (radius: 5) [03:24:28 -158721.523292] SLOW spr round 2 (radius: 5) [03:25:04 -158718.657465] SLOW spr round 3 (radius: 5) [03:25:40 -158717.513421] SLOW spr round 4 (radius: 5) [03:26:14 -158716.959033] SLOW spr round 5 (radius: 5) [03:26:49 -158716.958928] SLOW spr round 6 (radius: 10) [03:27:29 -158715.315748] SLOW spr round 7 (radius: 5) [03:28:16 -158715.314648] SLOW spr round 8 (radius: 10) [03:29:04 -158715.314606] SLOW spr round 9 (radius: 15) [03:30:26 -158715.314604] SLOW spr round 10 (radius: 20) [03:32:15 -158715.314604] SLOW spr round 11 (radius: 25) [03:33:49 -158715.314604] Model parameter optimization (eps = 0.100000) [03:33:54] ML tree search #12, logLikelihood: -158714.893316 [03:33:54 -386930.105587] Initial branch length optimization [03:33:55 -291098.993595] Model parameter optimization (eps = 10.000000) [03:34:20 -289786.240208] AUTODETECT spr round 1 (radius: 5) [03:34:47 -254601.420808] AUTODETECT spr round 2 (radius: 10) [03:35:19 -212302.380981] AUTODETECT spr round 3 (radius: 15) [03:35:57 -180664.345146] AUTODETECT spr round 4 (radius: 20) [03:36:47 -178050.818340] AUTODETECT spr round 5 (radius: 25) [03:37:43 -177344.236632] SPR radius for FAST iterations: 25 (autodetect) [03:37:43 -177344.236632] Model parameter optimization (eps = 3.000000) [03:38:03 -176412.001374] FAST spr round 1 (radius: 25) [03:38:53 -159188.212111] FAST spr round 2 (radius: 25) [03:39:28 -158795.040707] FAST spr round 3 (radius: 25) [03:39:55 -158768.769061] FAST spr round 4 (radius: 25) [03:40:19 -158766.777720] FAST spr round 5 (radius: 25) [03:40:42 -158766.776197] Model parameter optimization (eps = 1.000000) [03:40:51 -158754.135222] SLOW spr round 1 (radius: 5) [03:41:31 -158727.560556] SLOW spr round 2 (radius: 5) [03:42:07 -158723.522459] SLOW spr round 3 (radius: 5) [03:42:44 -158717.478597] SLOW spr round 4 (radius: 5) [03:43:20 -158714.319912] SLOW spr round 5 (radius: 5) [03:43:55 -158714.319873] SLOW spr round 6 (radius: 10) [03:44:35 -158710.584111] SLOW spr round 7 (radius: 5) [03:45:22 -158709.804653] SLOW spr round 8 (radius: 5) [03:46:02 -158709.804002] SLOW spr round 9 (radius: 10) [03:46:45 -158709.803962] SLOW spr round 10 (radius: 15) [03:48:09 -158709.803958] SLOW spr round 11 (radius: 20) [03:50:07 -158709.803957] SLOW spr round 12 (radius: 25) [03:52:00 -158709.803957] Model parameter optimization (eps = 0.100000) [03:52:05] ML tree search #13, logLikelihood: -158708.835568 [03:52:06 -381727.106278] Initial branch length optimization [03:52:07 -290216.204596] Model parameter optimization (eps = 10.000000) [03:52:38 -288959.152153] AUTODETECT spr round 1 (radius: 5) [03:53:05 -248174.842367] AUTODETECT spr round 2 (radius: 10) [03:53:35 -217159.488195] AUTODETECT spr round 3 (radius: 15) [03:54:10 -196414.524623] AUTODETECT spr round 4 (radius: 20) [03:54:52 -184201.917219] AUTODETECT spr round 5 (radius: 25) [03:55:38 -181148.853328] SPR radius for FAST iterations: 25 (autodetect) [03:55:38 -181148.853328] Model parameter optimization (eps = 3.000000) [03:56:00 -180386.889181] FAST spr round 1 (radius: 25) [03:56:43 -160578.291088] FAST spr round 2 (radius: 25) [03:57:19 -158834.493102] FAST spr round 3 (radius: 25) [03:57:49 -158777.670402] FAST spr round 4 (radius: 25) [03:58:14 -158774.022716] FAST spr round 5 (radius: 25) [03:58:37 -158774.022554] Model parameter optimization (eps = 1.000000) [03:58:46 -158753.710880] SLOW spr round 1 (radius: 5) [03:59:25 -158712.477687] SLOW spr round 2 (radius: 5) [04:00:00 -158712.476563] SLOW spr round 3 (radius: 10) [04:00:40 -158711.843948] SLOW spr round 4 (radius: 5) [04:01:27 -158711.842532] SLOW spr round 5 (radius: 10) [04:02:15 -158711.842449] SLOW spr round 6 (radius: 15) [04:03:37 -158711.417697] SLOW spr round 7 (radius: 5) [04:04:27 -158711.417696] SLOW spr round 8 (radius: 10) [04:05:17 -158711.417695] SLOW spr round 9 (radius: 15) [04:06:39 -158711.417694] SLOW spr round 10 (radius: 20) [04:08:29 -158711.417694] SLOW spr round 11 (radius: 25) [04:10:04 -158711.417693] Model parameter optimization (eps = 0.100000) [04:10:10] ML tree search #14, logLikelihood: -158710.995019 [04:10:10 -385506.279248] Initial branch length optimization [04:10:12 -291179.521672] Model parameter optimization (eps = 10.000000) [04:10:34 -289897.270407] AUTODETECT spr round 1 (radius: 5) [04:11:02 -255328.403654] AUTODETECT spr round 2 (radius: 10) [04:11:34 -223319.784890] AUTODETECT spr round 3 (radius: 15) [04:12:09 -201973.793279] AUTODETECT spr round 4 (radius: 20) [04:12:58 -185037.411683] AUTODETECT spr round 5 (radius: 25) [04:14:02 -183298.383859] SPR radius for FAST iterations: 25 (autodetect) [04:14:02 -183298.383859] Model parameter optimization (eps = 3.000000) [04:14:21 -182350.436034] FAST spr round 1 (radius: 25) [04:15:05 -159185.932307] FAST spr round 2 (radius: 25) [04:15:41 -158799.887192] FAST spr round 3 (radius: 25) [04:16:09 -158767.293227] FAST spr round 4 (radius: 25) [04:16:34 -158766.041526] FAST spr round 5 (radius: 25) [04:16:58 -158766.041515] Model parameter optimization (eps = 1.000000) [04:17:07 -158755.818969] SLOW spr round 1 (radius: 5) [04:17:45 -158718.064559] SLOW spr round 2 (radius: 5) [04:18:23 -158715.256056] SLOW spr round 3 (radius: 5) [04:18:58 -158714.795064] SLOW spr round 4 (radius: 5) [04:19:34 -158714.794624] SLOW spr round 5 (radius: 10) [04:20:13 -158714.794547] SLOW spr round 6 (radius: 15) [04:21:43 -158714.794514] SLOW spr round 7 (radius: 20) [04:23:31 -158714.794498] SLOW spr round 8 (radius: 25) [04:25:05 -158714.794490] Model parameter optimization (eps = 0.100000) [04:25:08] ML tree search #15, logLikelihood: -158714.762651 [04:25:08 -390322.812651] Initial branch length optimization [04:25:10 -292162.722965] Model parameter optimization (eps = 10.000000) [04:25:33 -290885.500520] AUTODETECT spr round 1 (radius: 5) [04:25:59 -259032.966164] AUTODETECT spr round 2 (radius: 10) [04:26:32 -215998.845636] AUTODETECT spr round 3 (radius: 15) [04:27:09 -181642.015414] AUTODETECT spr round 4 (radius: 20) [04:27:59 -176324.194526] AUTODETECT spr round 5 (radius: 25) [04:28:52 -175671.195763] SPR radius for FAST iterations: 25 (autodetect) [04:28:52 -175671.195763] Model parameter optimization (eps = 3.000000) [04:29:16 -174632.587242] FAST spr round 1 (radius: 25) [04:30:07 -159894.641882] FAST spr round 2 (radius: 25) [04:30:44 -158832.387362] FAST spr round 3 (radius: 25) [04:31:16 -158758.006692] FAST spr round 4 (radius: 25) [04:31:40 -158758.006478] Model parameter optimization (eps = 1.000000) [04:31:47 -158743.960868] SLOW spr round 1 (radius: 5) [04:32:27 -158728.708734] SLOW spr round 2 (radius: 5) [04:33:03 -158728.707556] SLOW spr round 3 (radius: 10) [04:33:44 -158728.707432] SLOW spr round 4 (radius: 15) [04:35:10 -158728.707416] SLOW spr round 5 (radius: 20) [04:37:11 -158728.707412] SLOW spr round 6 (radius: 25) [04:39:08 -158728.707411] Model parameter optimization (eps = 0.100000) [04:39:10] ML tree search #16, logLikelihood: -158728.648746 [04:39:10 -386312.944243] Initial branch length optimization [04:39:12 -291190.286074] Model parameter optimization (eps = 10.000000) [04:39:35 -289962.980603] AUTODETECT spr round 1 (radius: 5) [04:40:03 -252506.967405] AUTODETECT spr round 2 (radius: 10) [04:40:35 -218382.559952] AUTODETECT spr round 3 (radius: 15) [04:41:11 -181678.943590] AUTODETECT spr round 4 (radius: 20) [04:42:01 -174547.398514] AUTODETECT spr round 5 (radius: 25) [04:42:59 -173619.638902] SPR radius for FAST iterations: 25 (autodetect) [04:42:59 -173619.638902] Model parameter optimization (eps = 3.000000) [04:43:23 -172639.027872] FAST spr round 1 (radius: 25) [04:44:10 -159129.060047] FAST spr round 2 (radius: 25) [04:44:46 -158768.934325] FAST spr round 3 (radius: 25) [04:45:12 -158760.630263] FAST spr round 4 (radius: 25) [04:45:37 -158760.629055] Model parameter optimization (eps = 1.000000) [04:45:44 -158751.377758] SLOW spr round 1 (radius: 5) [04:46:24 -158721.035721] SLOW spr round 2 (radius: 5) [04:47:02 -158714.477103] SLOW spr round 3 (radius: 5) [04:47:38 -158714.475543] SLOW spr round 4 (radius: 10) [04:48:19 -158711.688497] SLOW spr round 5 (radius: 5) [04:49:08 -158710.646906] SLOW spr round 6 (radius: 5) [04:49:50 -158710.640486] SLOW spr round 7 (radius: 10) [04:50:35 -158710.639993] SLOW spr round 8 (radius: 15) [04:52:01 -158710.639951] SLOW spr round 9 (radius: 20) [04:53:53 -158710.639948] SLOW spr round 10 (radius: 25) [04:55:33 -158710.639947] Model parameter optimization (eps = 0.100000) [04:55:39] ML tree search #17, logLikelihood: -158710.296106 [04:55:39 -383602.238920] Initial branch length optimization [04:55:40 -290988.715482] Model parameter optimization (eps = 10.000000) [04:56:03 -289690.099536] AUTODETECT spr round 1 (radius: 5) [04:56:30 -255156.795370] AUTODETECT spr round 2 (radius: 10) [04:57:03 -207908.111634] AUTODETECT spr round 3 (radius: 15) [04:57:41 -184593.343752] AUTODETECT spr round 4 (radius: 20) [04:58:24 -177836.265306] AUTODETECT spr round 5 (radius: 25) [04:59:09 -175918.497301] SPR radius for FAST iterations: 25 (autodetect) [04:59:09 -175918.497301] Model parameter optimization (eps = 3.000000) [04:59:33 -174953.551904] FAST spr round 1 (radius: 25) [05:00:23 -159630.298146] FAST spr round 2 (radius: 25) [05:01:01 -158827.173875] FAST spr round 3 (radius: 25) [05:01:34 -158770.809306] FAST spr round 4 (radius: 25) [05:02:00 -158766.340096] FAST spr round 5 (radius: 25) [05:02:25 -158764.954871] FAST spr round 6 (radius: 25) [05:02:48 -158764.950138] Model parameter optimization (eps = 1.000000) [05:02:57 -158734.719522] SLOW spr round 1 (radius: 5) [05:03:36 -158713.980401] SLOW spr round 2 (radius: 5) [05:04:11 -158713.906476] SLOW spr round 3 (radius: 10) [05:04:52 -158712.355043] SLOW spr round 4 (radius: 5) [05:05:41 -158711.781796] SLOW spr round 5 (radius: 5) [05:06:23 -158711.781530] SLOW spr round 6 (radius: 10) [05:07:07 -158711.781523] SLOW spr round 7 (radius: 15) [05:08:35 -158711.781521] SLOW spr round 8 (radius: 20) [05:10:29 -158711.781520] SLOW spr round 9 (radius: 25) [05:12:04 -158711.781519] Model parameter optimization (eps = 0.100000) [05:12:10] ML tree search #18, logLikelihood: -158711.503638 [05:12:10 -384768.793828] Initial branch length optimization [05:12:12 -292229.244660] Model parameter optimization (eps = 10.000000) [05:12:37 -290912.959451] AUTODETECT spr round 1 (radius: 5) [05:13:04 -256885.037318] AUTODETECT spr round 2 (radius: 10) [05:13:35 -218574.352290] AUTODETECT spr round 3 (radius: 15) [05:14:14 -188639.009726] AUTODETECT spr round 4 (radius: 20) [05:14:54 -179840.870762] AUTODETECT spr round 5 (radius: 25) [05:15:41 -178789.899017] SPR radius for FAST iterations: 25 (autodetect) [05:15:41 -178789.899017] Model parameter optimization (eps = 3.000000) [05:16:07 -177952.878488] FAST spr round 1 (radius: 25) [05:16:56 -159680.869725] FAST spr round 2 (radius: 25) [05:17:31 -158844.209766] FAST spr round 3 (radius: 25) [05:18:02 -158780.415944] FAST spr round 4 (radius: 25) [05:18:26 -158778.837378] FAST spr round 5 (radius: 25) [05:18:49 -158778.827996] Model parameter optimization (eps = 1.000000) [05:18:58 -158760.272888] SLOW spr round 1 (radius: 5) [05:19:38 -158733.039214] SLOW spr round 2 (radius: 5) [05:20:13 -158732.150242] SLOW spr round 3 (radius: 5) [05:20:48 -158732.147988] SLOW spr round 4 (radius: 10) [05:21:28 -158729.507142] SLOW spr round 5 (radius: 5) [05:22:16 -158729.502775] SLOW spr round 6 (radius: 10) [05:23:04 -158722.519890] SLOW spr round 7 (radius: 5) [05:23:50 -158722.519212] SLOW spr round 8 (radius: 10) [05:24:35 -158722.477524] SLOW spr round 9 (radius: 15) [05:25:59 -158722.477160] SLOW spr round 10 (radius: 20) [05:27:50 -158722.477117] SLOW spr round 11 (radius: 25) [05:29:26 -158722.477111] Model parameter optimization (eps = 0.100000) [05:29:30] ML tree search #19, logLikelihood: -158722.195659 [05:29:30 -385952.769606] Initial branch length optimization [05:29:31 -291321.272599] Model parameter optimization (eps = 10.000000) [05:29:56 -289984.607355] AUTODETECT spr round 1 (radius: 5) [05:30:22 -261896.568517] AUTODETECT spr round 2 (radius: 10) [05:30:54 -226035.736481] AUTODETECT spr round 3 (radius: 15) [05:31:32 -190286.735532] AUTODETECT spr round 4 (radius: 20) [05:32:13 -180952.701437] AUTODETECT spr round 5 (radius: 25) [05:33:06 -177240.880018] SPR radius for FAST iterations: 25 (autodetect) [05:33:06 -177240.880018] Model parameter optimization (eps = 3.000000) [05:33:23 -176270.635732] FAST spr round 1 (radius: 25) [05:34:13 -159624.661539] FAST spr round 2 (radius: 25) [05:34:50 -158845.383454] FAST spr round 3 (radius: 25) [05:35:21 -158778.832082] FAST spr round 4 (radius: 25) [05:35:46 -158773.941458] FAST spr round 5 (radius: 25) [05:36:09 -158772.141203] FAST spr round 6 (radius: 25) [05:36:32 -158772.141167] Model parameter optimization (eps = 1.000000) [05:36:39 -158755.823273] SLOW spr round 1 (radius: 5) [05:37:20 -158723.513512] SLOW spr round 2 (radius: 5) [05:37:56 -158721.145535] SLOW spr round 3 (radius: 5) [05:38:30 -158721.144128] SLOW spr round 4 (radius: 10) [05:39:09 -158720.473521] SLOW spr round 5 (radius: 5) [05:39:56 -158720.471867] SLOW spr round 6 (radius: 10) [05:40:43 -158720.343163] SLOW spr round 7 (radius: 5) [05:41:28 -158720.343154] SLOW spr round 8 (radius: 10) [05:42:14 -158720.343153] SLOW spr round 9 (radius: 15) [05:43:35 -158720.343152] SLOW spr round 10 (radius: 20) [05:45:25 -158720.343151] SLOW spr round 11 (radius: 25) [05:46:56 -158720.343151] Model parameter optimization (eps = 0.100000) [05:47:02] ML tree search #20, logLikelihood: -158719.776411 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.172111,0.528131) (0.140098,0.779079) (0.414603,0.896031) (0.273189,1.568362) 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: -158704.860798 AIC score: 319163.721596 / AICc score: 1859175.721596 / BIC score: 323027.106953 Free parameters (model + branch lengths): 877 WARNING: Number of free parameters (K=877) is larger than alignment size (n=605). 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/Q3T906/3_mltree/Q3T906.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/3_mltree/Q3T906.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/3_mltree/Q3T906.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q3T906/3_mltree/Q3T906.raxml.log Analysis started: 23-Jun-2021 22:17:39 / finished: 24-Jun-2021 04:04:41 Elapsed time: 20822.155 seconds