RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 04-Jul-2021 13:24:15 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/2_msa/Q494X3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/2_msa/Q494X3_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 632 sites

WARNING: Sequences tr_A0A2I2YQQ8_A0A2I2YQQ8_GORGO_9595 and sp_Q9Y2G7_ZFP30_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QM58_G3QM58_GORGO_9595 and tr_H2PSX1_H2PSX1_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QM58_G3QM58_GORGO_9595 and tr_H2R6I1_H2R6I1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QM58_G3QM58_GORGO_9595 and sp_O75820_ZN189_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QM58_G3QM58_GORGO_9595 and tr_A0A2R9AYB6_A0A2R9AYB6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2I3T1I2_A0A2I3T1I2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2K5XY05_A0A2K5XY05_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2R9C8X5_A0A2R9C8X5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F1P9J5_F1P9J5_CANLF_9615 and sp_Q9XSR1_ZN252_CANLF_9615 are exactly identical!
WARNING: Sequences tr_A0A2J8QIB0_A0A2J8QIB0_PANTR_9598 and sp_Q5MCW4_ZN569_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8QIH1_A0A2J8QIH1_PANTR_9598 and tr_A0A2R9AKC8_A0A2R9AKC8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QG63_H2QG63_PANTR_9598 and sp_Q8N141_ZFP82_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F6UR85_F6UR85_MACMU_9544 and tr_A0A2K6ADH3_A0A2K6ADH3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6ZAL5_F6ZAL5_MACMU_9544 and tr_A0A2K5NSA5_A0A2K5NSA5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7DJD1_F7DJD1_MACMU_9544 and tr_G7PZ21_G7PZ21_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7DJD1_F7DJD1_MACMU_9544 and tr_A0A0A0MVX6_A0A0A0MVX6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7DJD1_F7DJD1_MACMU_9544 and tr_A0A2K6CU82_A0A2K6CU82_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7F0N9_F7F0N9_MACMU_9544 and tr_A0A2K5LZF8_A0A2K5LZF8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7F0N9_F7F0N9_MACMU_9544 and tr_A0A2K6B2T5_A0A2K6B2T5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7F0N9_F7F0N9_MACMU_9544 and tr_A0A2K5YGT5_A0A2K5YGT5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7FTJ3_F7FTJ3_MACMU_9544 and tr_A0A2K6CFR0_A0A2K6CFR0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7FX09_F7FX09_MACMU_9544 and tr_A0A2K6B732_A0A2K6B732_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GTJ8_F7GTJ8_MACMU_9544 and tr_A0A2K6BJH0_A0A2K6BJH0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HIL3_F7HIL3_MACMU_9544 and tr_A0A2K6D0A2_A0A2K6D0A2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HT77_F7HT77_MACMU_9544 and tr_A0A096P104_A0A096P104_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1L1C1_G1L1C1_AILME_9646 and tr_A0A384DGZ4_A0A384DGZ4_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G7PRT6_G7PRT6_MACFA_9541 and tr_A0A2K5KKJ7_A0A2K5KKJ7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PRT6_G7PRT6_MACFA_9541 and tr_A0A2K5YQK9_A0A2K5YQK9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7PXE0_G7PXE0_MACFA_9541 and tr_A0A2K6D0J3_A0A2K6D0J3_MACNE_9545 are exactly identical!
WARNING: Sequences sp_A2VDQ7_ZN420_BOVIN_9913 and tr_F1MML9_F1MML9_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A0A0MUX4_A0A0A0MUX4_PAPAN_9555 and tr_A0A2K5KRM5_A0A2K5KRM5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0A0MVY8_A0A0A0MVY8_PAPAN_9555 and tr_A0A2K5YUH9_A0A2K5YUH9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0A0MW33_A0A0A0MW33_PAPAN_9555 and tr_A0A2K5ZEU7_A0A2K5ZEU7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5LAJ0_A0A2K5LAJ0_CERAT_9531 and tr_A0A2K5Y6G8_A0A2K5Y6G8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4BTY2_A0A2U4BTY2_TURTR_9739 and tr_A0A2U4BU50_A0A2U4BU50_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U4CGU5_A0A2U4CGU5_TURTR_9739 and tr_A0A2Y9QA60_A0A2Y9QA60_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4CGU5_A0A2U4CGU5_TURTR_9739 and tr_A0A2Y9FJE6_A0A2Y9FJE6_PHYCD_9755 are exactly identical!
WARNING: Duplicate sequences found: 37

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.reduced.phy

Alignment comprises 1 partitions and 632 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 632 / 632
Gaps: 13.43 %
Invariant sites: 1.11 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 4 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 158 / 12640
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -807492.793150] Initial branch length optimization
[00:00:03 -720918.796236] Model parameter optimization (eps = 10.000000)
[00:00:44 -720088.190024] AUTODETECT spr round 1 (radius: 5)
[00:03:43 -563814.044042] AUTODETECT spr round 2 (radius: 10)
[00:07:06 -376055.996150] AUTODETECT spr round 3 (radius: 15)
[00:10:31 -305712.470928] AUTODETECT spr round 4 (radius: 20)
[00:14:49 -289796.263756] AUTODETECT spr round 5 (radius: 25)
[00:20:20 -284556.619986] SPR radius for FAST iterations: 25 (autodetect)
[00:20:20 -284556.619986] Model parameter optimization (eps = 3.000000)
[00:20:41 -284477.720907] FAST spr round 1 (radius: 25)
[00:24:11 -254860.449378] FAST spr round 2 (radius: 25)
[00:27:00 -253338.174619] FAST spr round 3 (radius: 25)
[00:29:33 -253220.229759] FAST spr round 4 (radius: 25)
[00:31:50 -253194.840782] FAST spr round 5 (radius: 25)
[00:33:56 -253194.838198] Model parameter optimization (eps = 1.000000)
[00:34:13 -253187.613630] SLOW spr round 1 (radius: 5)
[00:37:12 -253094.778719] SLOW spr round 2 (radius: 5)
[00:40:04 -253070.597211] SLOW spr round 3 (radius: 5)
[00:42:45 -253065.890135] SLOW spr round 4 (radius: 5)
[00:45:26 -253065.048583] SLOW spr round 5 (radius: 5)
[00:48:05 -253065.048528] SLOW spr round 6 (radius: 10)
[00:50:54 -253056.904122] SLOW spr round 7 (radius: 5)
[00:54:02 -253044.339953] SLOW spr round 8 (radius: 5)
[00:56:57 -253037.495211] SLOW spr round 9 (radius: 5)
[00:59:38 -253037.495079] SLOW spr round 10 (radius: 10)
[01:02:25 -253036.824201] SLOW spr round 11 (radius: 5)
[01:05:27 -253035.374268] SLOW spr round 12 (radius: 5)
[01:08:14 -253035.374253] SLOW spr round 13 (radius: 10)
[01:11:05 -253035.374253] SLOW spr round 14 (radius: 15)
[01:16:07 -253035.374253] SLOW spr round 15 (radius: 20)
[01:25:17 -253035.374253] SLOW spr round 16 (radius: 25)
[01:29:49] [worker #1] ML tree search #2, logLikelihood: -253069.621551
[01:36:34 -253035.374253] Model parameter optimization (eps = 0.100000)

[01:36:41] [worker #0] ML tree search #1, logLikelihood: -253035.341868

[01:36:41 -805295.706635] Initial branch length optimization
[01:36:44 -719394.588734] Model parameter optimization (eps = 10.000000)
[01:37:22 -718611.742784] AUTODETECT spr round 1 (radius: 5)
[01:40:16 -544445.687044] AUTODETECT spr round 2 (radius: 10)
[01:43:32 -360595.583062] AUTODETECT spr round 3 (radius: 15)
[01:46:47 -293867.119369] AUTODETECT spr round 4 (radius: 20)
[01:51:00 -283110.311947] AUTODETECT spr round 5 (radius: 25)
[01:56:45 -280894.064532] SPR radius for FAST iterations: 25 (autodetect)
[01:56:45 -280894.064532] Model parameter optimization (eps = 3.000000)
[01:56:53 -280883.565177] FAST spr round 1 (radius: 25)
[02:00:32 -254559.571665] FAST spr round 2 (radius: 25)
[02:03:15 -253340.586164] FAST spr round 3 (radius: 25)
[02:05:46 -253270.625598] FAST spr round 4 (radius: 25)
[02:08:06 -253225.428296] FAST spr round 5 (radius: 25)
[02:10:19 -253207.258766] FAST spr round 6 (radius: 25)
[02:12:25 -253199.888368] FAST spr round 7 (radius: 25)
[02:14:28 -253199.888359] Model parameter optimization (eps = 1.000000)
[02:14:46 -253160.434556] SLOW spr round 1 (radius: 5)
[02:17:38 -253101.615206] SLOW spr round 2 (radius: 5)
[02:20:26 -253073.357698] SLOW spr round 3 (radius: 5)
[02:23:11 -253063.922340] SLOW spr round 4 (radius: 5)
[02:25:51 -253062.822541] SLOW spr round 5 (radius: 5)
[02:28:30 -253062.822522] SLOW spr round 6 (radius: 10)
[02:31:18 -253053.069149] SLOW spr round 7 (radius: 5)
[02:34:24 -253041.502041] SLOW spr round 8 (radius: 5)
[02:37:13 -253037.863715] SLOW spr round 9 (radius: 5)
[02:39:55 -253037.863589] SLOW spr round 10 (radius: 10)
[02:42:43 -253036.092676] SLOW spr round 11 (radius: 5)
[02:45:44 -253035.234677] SLOW spr round 12 (radius: 5)
[02:48:32 -253035.234649] SLOW spr round 13 (radius: 10)
[02:51:23 -253035.234649] SLOW spr round 14 (radius: 15)
[02:54:07] [worker #1] ML tree search #4, logLikelihood: -252995.392825
[02:56:12 -253031.015460] SLOW spr round 15 (radius: 5)
[02:59:24 -253031.015448] SLOW spr round 16 (radius: 10)
[03:02:42 -253031.015448] SLOW spr round 17 (radius: 15)
[03:07:18 -253031.015448] SLOW spr round 18 (radius: 20)
[03:15:53 -253031.015448] SLOW spr round 19 (radius: 25)
[03:26:02 -253031.015448] Model parameter optimization (eps = 0.100000)

[03:26:07] [worker #0] ML tree search #3, logLikelihood: -253030.986740

[03:26:07 -809232.138427] Initial branch length optimization
[03:26:11 -723361.188487] Model parameter optimization (eps = 10.000000)
[03:26:52 -722613.300733] AUTODETECT spr round 1 (radius: 5)
[03:29:47 -559967.954675] AUTODETECT spr round 2 (radius: 10)
[03:32:57 -374736.664342] AUTODETECT spr round 3 (radius: 15)
[03:36:12 -305172.747290] AUTODETECT spr round 4 (radius: 20)
[03:40:28 -283764.499955] AUTODETECT spr round 5 (radius: 25)
[03:45:57 -280807.105641] SPR radius for FAST iterations: 25 (autodetect)
[03:45:57 -280807.105641] Model parameter optimization (eps = 3.000000)
[03:46:06 -280795.115372] FAST spr round 1 (radius: 25)
[03:49:44 -254924.319978] FAST spr round 2 (radius: 25)
[03:52:29 -253561.330489] FAST spr round 3 (radius: 25)
[03:54:57 -253385.453229] FAST spr round 4 (radius: 25)
[03:57:12 -253342.303458] FAST spr round 5 (radius: 25)
[03:59:18 -253340.167780] FAST spr round 6 (radius: 25)
[04:01:21 -253337.983012] FAST spr round 7 (radius: 25)
[04:03:23 -253332.618749] FAST spr round 8 (radius: 25)
[04:05:22 -253332.618713] Model parameter optimization (eps = 1.000000)
[04:05:28 -253332.311840] SLOW spr round 1 (radius: 5)
[04:08:16 -253197.587289] SLOW spr round 2 (radius: 5)
[04:11:03 -253150.058658] SLOW spr round 3 (radius: 5)
[04:13:41 -253149.272163] SLOW spr round 4 (radius: 5)
[04:16:18 -253149.272126] SLOW spr round 5 (radius: 10)
[04:19:02 -253145.955415] SLOW spr round 6 (radius: 5)
[04:22:01 -253144.700512] SLOW spr round 7 (radius: 5)
[04:24:46 -253144.700470] SLOW spr round 8 (radius: 10)
[04:27:34 -253144.700433] SLOW spr round 9 (radius: 15)
[04:32:14 -253144.700396] SLOW spr round 10 (radius: 20)
[04:40:11 -253143.501455] SLOW spr round 11 (radius: 5)
[04:43:15 -253139.234156] SLOW spr round 12 (radius: 5)
[04:45:49] [worker #1] ML tree search #6, logLikelihood: -253084.829053
[04:45:58 -253137.654947] SLOW spr round 13 (radius: 5)
[04:48:31 -253137.654631] SLOW spr round 14 (radius: 10)
[04:51:08 -253137.654591] SLOW spr round 15 (radius: 15)
[04:55:32 -253137.654553] SLOW spr round 16 (radius: 20)
[05:03:09 -253134.687454] SLOW spr round 17 (radius: 5)
[05:06:17 -253125.973805] SLOW spr round 18 (radius: 5)
[05:09:02 -253124.640081] SLOW spr round 19 (radius: 5)
[05:11:37 -253122.675123] SLOW spr round 20 (radius: 5)
[05:14:07 -253122.675058] SLOW spr round 21 (radius: 10)
[05:16:43 -253122.675018] SLOW spr round 22 (radius: 15)
[05:21:11 -253122.674979] SLOW spr round 23 (radius: 20)
[05:28:52 -253122.674940] SLOW spr round 24 (radius: 25)
[05:38:27 -253122.674900] Model parameter optimization (eps = 0.100000)

[05:38:44] [worker #0] ML tree search #5, logLikelihood: -253084.022875

[05:38:44 -809173.942512] Initial branch length optimization
[05:38:47 -721759.705672] Model parameter optimization (eps = 10.000000)
[05:39:22 -721010.279652] AUTODETECT spr round 1 (radius: 5)
[05:42:03 -556319.768682] AUTODETECT spr round 2 (radius: 10)
[05:45:10 -377242.749199] AUTODETECT spr round 3 (radius: 15)
[05:48:12 -295100.986249] AUTODETECT spr round 4 (radius: 20)
[05:52:01 -277030.726991] AUTODETECT spr round 5 (radius: 25)
[05:56:57 -275578.186873] SPR radius for FAST iterations: 25 (autodetect)
[05:56:57 -275578.186873] Model parameter optimization (eps = 3.000000)
[05:57:21 -275495.186786] FAST spr round 1 (radius: 25)
[06:00:21 -254079.697800] FAST spr round 2 (radius: 25)
[06:02:42 -253315.829538] FAST spr round 3 (radius: 25)
[06:04:45 -253246.732028] FAST spr round 4 (radius: 25)
[06:06:37 -253220.528746] FAST spr round 5 (radius: 25)
[06:08:21 -253220.528550] Model parameter optimization (eps = 1.000000)
[06:08:34 -253215.349620] SLOW spr round 1 (radius: 5)
[06:10:58 -253129.792585] SLOW spr round 2 (radius: 5)
[06:13:20 -253118.761102] SLOW spr round 3 (radius: 5)
[06:15:33 -253118.675443] SLOW spr round 4 (radius: 10)
[06:18:09 -253109.627263] SLOW spr round 5 (radius: 5)
[06:21:16 -253101.437261] SLOW spr round 6 (radius: 5)
[06:22:37] [worker #1] ML tree search #8, logLikelihood: -253114.542765
[06:24:01 -253101.437140] SLOW spr round 7 (radius: 10)
[06:26:53 -253099.243378] SLOW spr round 8 (radius: 5)
[06:29:57 -253094.506737] SLOW spr round 9 (radius: 5)
[06:32:44 -253094.253448] SLOW spr round 10 (radius: 5)
[06:35:16 -253094.253389] SLOW spr round 11 (radius: 10)
[06:37:54 -253094.253334] SLOW spr round 12 (radius: 15)
[06:42:35 -253091.462894] SLOW spr round 13 (radius: 5)
[06:45:39 -253090.257450] SLOW spr round 14 (radius: 5)
[06:48:24 -253090.257254] SLOW spr round 15 (radius: 10)
[06:51:11 -253089.200741] SLOW spr round 16 (radius: 5)
[06:54:07 -253084.906316] SLOW spr round 17 (radius: 5)
[06:56:46 -253084.906212] SLOW spr round 18 (radius: 10)
[06:59:30 -253084.906211] SLOW spr round 19 (radius: 15)
[07:04:05 -253083.564676] SLOW spr round 20 (radius: 5)
[07:07:14 -253071.889253] SLOW spr round 21 (radius: 5)
[07:10:00 -253071.678884] SLOW spr round 22 (radius: 5)
[07:12:34 -253071.678883] SLOW spr round 23 (radius: 10)
[07:15:12 -253071.678883] SLOW spr round 24 (radius: 15)
[07:19:57 -253071.678883] SLOW spr round 25 (radius: 20)
[07:28:31 -253071.678883] SLOW spr round 26 (radius: 25)
[07:38:58 -253071.678883] Model parameter optimization (eps = 0.100000)

[07:39:07] [worker #0] ML tree search #7, logLikelihood: -253070.999069

[07:39:07 -806849.521814] Initial branch length optimization
[07:39:10 -721401.210407] Model parameter optimization (eps = 10.000000)
[07:39:52 -720646.501976] AUTODETECT spr round 1 (radius: 5)
[07:42:32 -553960.070682] AUTODETECT spr round 2 (radius: 10)
[07:45:38 -377958.476477] AUTODETECT spr round 3 (radius: 15)
[07:47:43] [worker #1] ML tree search #10, logLikelihood: -253025.426104
[07:48:32 -299330.737112] AUTODETECT spr round 4 (radius: 20)
[07:52:13 -281024.614033] AUTODETECT spr round 5 (radius: 25)
[07:56:32 -277866.208577] SPR radius for FAST iterations: 25 (autodetect)
[07:56:32 -277866.208577] Model parameter optimization (eps = 3.000000)
[07:56:51 -277795.325614] FAST spr round 1 (radius: 25)
[08:00:06 -254373.072913] FAST spr round 2 (radius: 25)
[08:02:39 -253373.640401] FAST spr round 3 (radius: 25)
[08:05:11 -253263.959094] FAST spr round 4 (radius: 25)
[08:07:29 -253247.033957] FAST spr round 5 (radius: 25)
[08:09:38 -253237.563403] FAST spr round 6 (radius: 25)
[08:11:47 -253231.960439] FAST spr round 7 (radius: 25)
[08:13:50 -253231.960423] Model parameter optimization (eps = 1.000000)
[08:14:02 -253227.964228] SLOW spr round 1 (radius: 5)
[08:16:57 -253113.013730] SLOW spr round 2 (radius: 5)
[08:19:45 -253091.346814] SLOW spr round 3 (radius: 5)
[08:22:29 -253083.556010] SLOW spr round 4 (radius: 5)
[08:25:08 -253082.685840] SLOW spr round 5 (radius: 5)
[08:27:45 -253082.685740] SLOW spr round 6 (radius: 10)
[08:30:30 -253082.294260] SLOW spr round 7 (radius: 5)
[08:33:36 -253080.733337] SLOW spr round 8 (radius: 5)
[08:36:26 -253079.707565] SLOW spr round 9 (radius: 5)
[08:39:10 -253079.707559] SLOW spr round 10 (radius: 10)
[08:41:59 -253079.342494] SLOW spr round 11 (radius: 5)
[08:45:05 -253074.810732] SLOW spr round 12 (radius: 5)
[08:47:56 -253073.599629] SLOW spr round 13 (radius: 5)
[08:50:38 -253069.757336] SLOW spr round 14 (radius: 5)
[08:53:15 -253068.936427] SLOW spr round 15 (radius: 5)
[08:55:53 -253068.936394] SLOW spr round 16 (radius: 10)
[08:58:38 -253068.913918] SLOW spr round 17 (radius: 15)
[09:03:26 -253054.313104] SLOW spr round 18 (radius: 5)
[09:06:37 -253054.310734] SLOW spr round 19 (radius: 10)
[09:09:52 -253047.404222] SLOW spr round 20 (radius: 5)
[09:12:48 -253047.404218] SLOW spr round 21 (radius: 10)
[09:15:45 -253047.404218] SLOW spr round 22 (radius: 15)
[09:16:40] [worker #1] ML tree search #12, logLikelihood: -253029.357634
[09:20:21 -253047.404218] SLOW spr round 23 (radius: 20)
[09:29:04 -253047.404218] SLOW spr round 24 (radius: 25)
[09:38:39 -253047.404218] Model parameter optimization (eps = 0.100000)

[09:38:49] [worker #0] ML tree search #9, logLikelihood: -253047.149580

[09:38:49 -808605.268473] Initial branch length optimization
[09:38:52 -721751.793521] Model parameter optimization (eps = 10.000000)
[09:39:26 -720932.568652] AUTODETECT spr round 1 (radius: 5)
[09:41:56 -551573.230188] AUTODETECT spr round 2 (radius: 10)
[09:44:44 -378209.368870] AUTODETECT spr round 3 (radius: 15)
[09:47:41 -302302.801905] AUTODETECT spr round 4 (radius: 20)
[09:51:08 -285104.730751] AUTODETECT spr round 5 (radius: 25)
[09:56:41 -283022.047456] SPR radius for FAST iterations: 25 (autodetect)
[09:56:41 -283022.047456] Model parameter optimization (eps = 3.000000)
[09:57:03 -282943.590734] FAST spr round 1 (radius: 25)
[10:00:35 -254531.298111] FAST spr round 2 (radius: 25)
[10:03:22 -253440.886737] FAST spr round 3 (radius: 25)
[10:05:53 -253296.573519] FAST spr round 4 (radius: 25)
[10:08:07 -253267.087066] FAST spr round 5 (radius: 25)
[10:10:15 -253258.116575] FAST spr round 6 (radius: 25)
[10:12:18 -253258.116441] Model parameter optimization (eps = 1.000000)
[10:12:34 -253249.411742] SLOW spr round 1 (radius: 5)
[10:15:26 -253114.248560] SLOW spr round 2 (radius: 5)
[10:18:10 -253098.404624] SLOW spr round 3 (radius: 5)
[10:20:29 -253087.539716] SLOW spr round 4 (radius: 5)
[10:22:42 -253087.539500] SLOW spr round 5 (radius: 10)
[10:24:59 -253073.557819] SLOW spr round 6 (radius: 5)
[10:27:32 -253073.068003] SLOW spr round 7 (radius: 5)
[10:29:52 -253073.067913] SLOW spr round 8 (radius: 10)
[10:32:14 -253073.067865] SLOW spr round 9 (radius: 15)
[10:36:43 -253073.067817] SLOW spr round 10 (radius: 20)
[10:38:59] [worker #1] ML tree search #14, logLikelihood: -253067.594682
[10:44:56 -253073.067769] SLOW spr round 11 (radius: 25)
[10:55:26 -253073.067721] Model parameter optimization (eps = 0.100000)

[10:55:37] [worker #0] ML tree search #11, logLikelihood: -253072.653535

[10:55:37 -807496.988907] Initial branch length optimization
[10:55:41 -719715.428454] Model parameter optimization (eps = 10.000000)
[10:56:19 -718897.251012] AUTODETECT spr round 1 (radius: 5)
[10:59:10 -557440.163376] AUTODETECT spr round 2 (radius: 10)
[11:02:28 -374962.856794] AUTODETECT spr round 3 (radius: 15)
[11:05:46 -308918.237323] AUTODETECT spr round 4 (radius: 20)
[11:10:08 -284961.363019] AUTODETECT spr round 5 (radius: 25)
[11:15:14 -277054.952841] SPR radius for FAST iterations: 25 (autodetect)
[11:15:14 -277054.952841] Model parameter optimization (eps = 3.000000)
[11:15:39 -276981.213498] FAST spr round 1 (radius: 25)
[11:19:10 -254227.354031] FAST spr round 2 (radius: 25)
[11:21:59 -253286.606467] FAST spr round 3 (radius: 25)
[11:24:33 -253190.056605] FAST spr round 4 (radius: 25)
[11:26:51 -253168.092408] FAST spr round 5 (radius: 25)
[11:28:58 -253162.400203] FAST spr round 6 (radius: 25)
[11:31:01 -253162.400138] Model parameter optimization (eps = 1.000000)
[11:31:15 -253153.816028] SLOW spr round 1 (radius: 5)
[11:34:09 -253070.935053] SLOW spr round 2 (radius: 5)
[11:36:57 -253058.062792] SLOW spr round 3 (radius: 5)
[11:39:34 -253057.317609] SLOW spr round 4 (radius: 5)
[11:42:11 -253057.317514] SLOW spr round 5 (radius: 10)
[11:44:55 -253046.022768] SLOW spr round 6 (radius: 5)
[11:47:59 -253035.670681] SLOW spr round 7 (radius: 5)
[11:50:47 -253035.670663] SLOW spr round 8 (radius: 10)
[11:53:36 -253035.670663] SLOW spr round 9 (radius: 15)
[11:58:04 -253035.670663] SLOW spr round 10 (radius: 20)
[12:06:11 -253035.670663] SLOW spr round 11 (radius: 25)
[12:16:38 -253035.670663] Model parameter optimization (eps = 0.100000)

[12:16:44] [worker #0] ML tree search #13, logLikelihood: -253035.644104

[12:16:44 -811782.653704] Initial branch length optimization
[12:16:48 -724974.152456] Model parameter optimization (eps = 10.000000)
[12:17:17] [worker #1] ML tree search #16, logLikelihood: -253041.753465
[12:17:29 -724094.904873] AUTODETECT spr round 1 (radius: 5)
[12:20:21 -552510.586274] AUTODETECT spr round 2 (radius: 10)
[12:23:37 -372363.819287] AUTODETECT spr round 3 (radius: 15)
[12:26:42 -307167.214563] AUTODETECT spr round 4 (radius: 20)
[12:31:06 -280906.627083] AUTODETECT spr round 5 (radius: 25)
[12:36:17 -277849.522491] SPR radius for FAST iterations: 25 (autodetect)
[12:36:17 -277849.522491] Model parameter optimization (eps = 3.000000)
[12:36:38 -277788.102287] FAST spr round 1 (radius: 25)
[12:39:58 -254262.989278] FAST spr round 2 (radius: 25)
[12:42:48 -253353.012356] FAST spr round 3 (radius: 25)
[12:45:19 -253238.001079] FAST spr round 4 (radius: 25)
[12:47:34 -253210.503713] FAST spr round 5 (radius: 25)
[12:49:43 -253186.140406] FAST spr round 6 (radius: 25)
[12:51:47 -253178.705897] FAST spr round 7 (radius: 25)
[12:53:48 -253178.705754] Model parameter optimization (eps = 1.000000)
[12:54:02 -253177.551606] SLOW spr round 1 (radius: 5)
[12:56:51 -253039.587435] SLOW spr round 2 (radius: 5)
[12:59:38 -253030.985004] SLOW spr round 3 (radius: 5)
[13:02:17 -253029.910137] SLOW spr round 4 (radius: 5)
[13:04:55 -253029.910128] SLOW spr round 5 (radius: 10)
[13:07:38 -253027.587403] SLOW spr round 6 (radius: 5)
[13:10:45 -253026.135366] SLOW spr round 7 (radius: 5)
[13:13:32 -253026.135291] SLOW spr round 8 (radius: 10)
[13:16:22 -253026.135291] SLOW spr round 9 (radius: 15)
[13:21:25 -253026.135291] SLOW spr round 10 (radius: 20)
[13:31:02 -253026.135291] SLOW spr round 11 (radius: 25)
[13:42:50 -253026.135291] Model parameter optimization (eps = 0.100000)

[13:43:02] [worker #0] ML tree search #15, logLikelihood: -253025.101034

[13:43:02 -812181.653482] Initial branch length optimization
[13:43:05 -723803.836137] Model parameter optimization (eps = 10.000000)
[13:43:44 -722991.730275] AUTODETECT spr round 1 (radius: 5)
[13:46:36 -564594.958071] AUTODETECT spr round 2 (radius: 10)
[13:49:50 -369219.971018] AUTODETECT spr round 3 (radius: 15)
[13:53:10 -292070.467860] AUTODETECT spr round 4 (radius: 20)
[13:57:18 -277808.274126] AUTODETECT spr round 5 (radius: 25)
[14:02:52 -276220.189388] SPR radius for FAST iterations: 25 (autodetect)
[14:02:52 -276220.189388] Model parameter optimization (eps = 3.000000)
[14:03:01 -276207.192694] FAST spr round 1 (radius: 25)
[14:06:27 -254071.462239] FAST spr round 2 (radius: 25)
[14:09:08 -253288.592146] FAST spr round 3 (radius: 25)
[14:11:39 -253234.637672] FAST spr round 4 (radius: 25)
[14:13:51 -253226.524544] FAST spr round 5 (radius: 25)
[14:15:55 -253225.494361] FAST spr round 6 (radius: 25)
[14:17:56 -253225.494316] Model parameter optimization (eps = 1.000000)
[14:18:14 -253174.814309] SLOW spr round 1 (radius: 5)
[14:21:04 -253055.926195] SLOW spr round 2 (radius: 5)
[14:23:50 -253027.545365] SLOW spr round 3 (radius: 5)
[14:26:27 -253026.113567] SLOW spr round 4 (radius: 5)
[14:29:02 -253026.113564] SLOW spr round 5 (radius: 10)
[14:31:46 -253010.205872] SLOW spr round 6 (radius: 5)
[14:34:53 -253006.101443] SLOW spr round 7 (radius: 5)
[14:37:45 -253003.798707] SLOW spr round 8 (radius: 5)
[14:40:26 -253003.798662] SLOW spr round 9 (radius: 10)
[14:43:11 -253003.798661] SLOW spr round 10 (radius: 15)
[14:48:03 -253003.798661] SLOW spr round 11 (radius: 20)
[14:56:32 -253003.798661] SLOW spr round 12 (radius: 25)
[15:06:52 -253003.798661] Model parameter optimization (eps = 0.100000)

[15:07:01] [worker #0] ML tree search #17, logLikelihood: -253003.600264

[15:07:01 -808354.511754] Initial branch length optimization
[15:07:05 -721483.544438] Model parameter optimization (eps = 10.000000)
[15:07:40 -720606.140084] AUTODETECT spr round 1 (radius: 5)
[15:08:10] [worker #1] ML tree search #18, logLikelihood: -253010.370089
[15:10:38 -564877.871308] AUTODETECT spr round 2 (radius: 10)
[15:13:57 -374076.158400] AUTODETECT spr round 3 (radius: 15)
[15:17:19 -299331.254464] AUTODETECT spr round 4 (radius: 20)
[15:21:16 -286536.635675] AUTODETECT spr round 5 (radius: 25)
[15:26:47 -282396.349169] SPR radius for FAST iterations: 25 (autodetect)
[15:26:47 -282396.349169] Model parameter optimization (eps = 3.000000)
[15:27:09 -282308.212867] FAST spr round 1 (radius: 25)
[15:30:42 -254830.712438] FAST spr round 2 (radius: 25)
[15:33:26 -253344.106515] FAST spr round 3 (radius: 25)
[15:35:54 -253215.564799] FAST spr round 4 (radius: 25)
[15:38:13 -253186.871310] FAST spr round 5 (radius: 25)
[15:40:17 -253186.871206] Model parameter optimization (eps = 1.000000)
[15:40:30 -253180.629872] SLOW spr round 1 (radius: 5)
[15:43:31 -253055.494779] SLOW spr round 2 (radius: 5)
[15:46:21 -253045.941896] SLOW spr round 3 (radius: 5)
[15:49:02 -253044.016218] SLOW spr round 4 (radius: 5)
[15:51:38 -253044.016150] SLOW spr round 5 (radius: 10)
[15:54:15 -253040.684720] SLOW spr round 6 (radius: 5)
[15:57:13 -253035.618089] SLOW spr round 7 (radius: 5)
[15:59:53 -253035.595384] SLOW spr round 8 (radius: 10)
[16:02:35 -253032.970771] SLOW spr round 9 (radius: 5)
[16:05:30 -253028.479711] SLOW spr round 10 (radius: 5)
[16:08:08 -253028.479651] SLOW spr round 11 (radius: 10)
[16:10:47 -253027.963963] SLOW spr round 12 (radius: 5)
[16:13:40 -253027.961199] SLOW spr round 13 (radius: 10)
[16:16:32 -253027.939445] SLOW spr round 14 (radius: 15)
[16:20:52 -253027.939348] SLOW spr round 15 (radius: 20)
[16:29:04 -253027.939292] SLOW spr round 16 (radius: 25)
[16:39:17 -253027.939236] Model parameter optimization (eps = 0.100000)

[16:39:23] [worker #0] ML tree search #19, logLikelihood: -253027.859014

[16:42:39] [worker #1] ML tree search #20, logLikelihood: -253097.338219

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.153661,0.171068) (0.148466,0.568320) (0.355579,0.753536) (0.342293,1.815389) 
   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: -252995.392825

AIC score: 510000.785649 / AICc score: 8554060.785649 / BIC score: 518920.808884
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=632).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 128 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q494X3/3_mltree/Q494X3.raxml.log

Analysis started: 04-Jul-2021 13:24:15 / finished: 05-Jul-2021 06:06:54

Elapsed time: 60159.495 seconds

Consumed energy: 5673.774 Wh (= 28 km in an electric car, or 142 km with an e-scooter!)