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 23:57:50 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/2_msa/Q7Z410_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410 --seed 2 --threads 5 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (5 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/2_msa/Q7Z410_trimmed_msa.fasta
[00:00:00] Loaded alignment with 996 taxa and 225 sites

WARNING: Sequences tr_E1C8L4_E1C8L4_CHICK_9031 and tr_A0A226N4F9_A0A226N4F9_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A3B3IB90_A0A3B3IB90_ORYLA_8090 and tr_H2L6J3_H2L6J3_ORYLA_8090 are exactly identical!
WARNING: Sequences tr_G1RXE8_G1RXE8_NOMLE_61853 and tr_H2P4A0_H2P4A0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QFY1_G3QFY1_GORGO_9595 and tr_A0A2I3TLA1_A0A2I3TLA1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QFY1_G3QFY1_GORGO_9595 and sp_O60235_TM11D_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QFY1_G3QFY1_GORGO_9595 and tr_A0A2R9BHQ5_A0A2R9BHQ5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RBS2_A0A2I3RBS2_PANTR_9598 and tr_A0A2R9CII4_A0A2R9CII4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TMM1_A0A2I3TMM1_PANTR_9598 and sp_Q9Y5Y6_ST14_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3TMM1_A0A2I3TMM1_PANTR_9598 and tr_A0A2R9AS93_A0A2R9AS93_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QAE0_H2QAE0_PANTR_9598 and tr_A0A2R8ZPG1_A0A2R8ZPG1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QPK1_H2QPK1_PANTR_9598 and tr_A0A2R9C1F1_A0A2R9C1F1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QTY8_A0A1D5QTY8_MACMU_9544 and tr_A0A2I3M402_A0A2I3M402_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QTY8_A0A1D5QTY8_MACMU_9544 and tr_A0A0D9QYY0_A0A0D9QYY0_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QTY8_A0A1D5QTY8_MACMU_9544 and tr_A0A2K5KQJ9_A0A2K5KQJ9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QTY8_A0A1D5QTY8_MACMU_9544 and tr_A0A2K6D507_A0A2K6D507_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QTY8_A0A1D5QTY8_MACMU_9544 and tr_A0A2K6AJV3_A0A2K6AJV3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6R805_F6R805_MACMU_9544 and tr_A0A2K5P2Y1_A0A2K5P2Y1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7FJ61_F7FJ61_MACMU_9544 and tr_A0A096N6P3_A0A096N6P3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7FJ61_F7FJ61_MACMU_9544 and tr_A0A2K5P3U6_A0A2K5P3U6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7FJ61_F7FJ61_MACMU_9544 and tr_A0A2K6BPV6_A0A2K6BPV6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HM00_F7HM00_MACMU_9544 and tr_A0A096NJV3_A0A096NJV3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1LAQ0_G1LAQ0_AILME_9646 and tr_A0A384C0K7_A0A384C0K7_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G7P5Q6_G7P5Q6_MACFA_9541 and tr_A0A2K6CKF5_A0A2K6CKF5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F1N4X7_F1N4X7_BOVIN_9913 and sp_Q0IIH7_ST14_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A1S2ZP21_A0A1S2ZP21_ERIEU_9365 and tr_A0A1S2ZP29_A0A1S2ZP29_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_A0A1S3MLT6_A0A1S3MLT6_SALSA_8030 and tr_A0A060VSQ0_A0A060VSQ0_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A226MYT3_A0A226MYT3_CALSU_9009 and tr_A0A226PYM9_A0A226PYM9_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0QCH1_A0A2D0QCH1_ICTPU_7998 and tr_W5U8J8_W5U8J8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SU45_A0A2D0SU45_ICTPU_7998 and tr_A0A2D0SUL0_A0A2D0SUL0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SVS9_A0A2D0SVS9_ICTPU_7998 and tr_W5U639_W5U639_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0T5A5_A0A2D0T5A5_ICTPU_7998 and tr_A0A2D0T625_A0A2D0T625_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5L816_A0A2K5L816_CERAT_9531 and tr_A0A2K5XGH6_A0A2K5XGH6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U3V9U1_A0A2U3V9U1_TURTR_9739 and tr_A0A2U3V9V1_A0A2U3V9V1_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U4AD11_A0A2U4AD11_TURTR_9739 and tr_A0A2Y9NGP1_A0A2Y9NGP1_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 34

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/Q7Z410/3_mltree/Q7Z410.raxml.reduced.phy

Alignment comprises 1 partitions and 225 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 225 / 225
Gaps: 4.53 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410.raxml.rba

Parallelization scheme autoconfig: 5 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 996 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 225 / 18000
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -381279.778910] Initial branch length optimization
[00:00:05 -331234.033159] Model parameter optimization (eps = 10.000000)
[00:01:01 -330642.265023] AUTODETECT spr round 1 (radius: 5)
[00:04:39 -251738.407790] AUTODETECT spr round 2 (radius: 10)
[00:08:40 -185846.626748] AUTODETECT spr round 3 (radius: 15)
[00:13:23 -157413.609501] AUTODETECT spr round 4 (radius: 20)
[00:21:32 -146987.774259] AUTODETECT spr round 5 (radius: 25)
[00:30:48 -146047.122958] SPR radius for FAST iterations: 25 (autodetect)
[00:30:48 -146047.122958] Model parameter optimization (eps = 3.000000)
[00:31:16 -146001.856150] FAST spr round 1 (radius: 25)
[00:36:57 -130453.106913] FAST spr round 2 (radius: 25)
[00:40:45 -129795.870186] FAST spr round 3 (radius: 25)
[00:44:02 -129721.565909] FAST spr round 4 (radius: 25)
[00:47:02 -129692.722219] FAST spr round 5 (radius: 25)
[00:49:38 -129689.891998] FAST spr round 6 (radius: 25)
[00:52:06 -129689.837847] Model parameter optimization (eps = 1.000000)
[00:52:29 -129684.331587] SLOW spr round 1 (radius: 5)
[00:56:05 -129644.408337] SLOW spr round 2 (radius: 5)
[00:59:37 -129623.434017] SLOW spr round 3 (radius: 5)
[01:02:52 -129618.024784] SLOW spr round 4 (radius: 5)
[01:05:57 -129617.988624] SLOW spr round 5 (radius: 10)
[01:09:08 -129617.770123] SLOW spr round 6 (radius: 5)
[01:13:07 -129617.770102] SLOW spr round 7 (radius: 10)
[01:16:48 -129617.731196] SLOW spr round 8 (radius: 15)
[01:22:31 -129615.739417] SLOW spr round 9 (radius: 5)
[01:26:37 -129615.200057] SLOW spr round 10 (radius: 5)
[01:30:11 -129615.200015] SLOW spr round 11 (radius: 10)
[01:33:31 -129615.200011] SLOW spr round 12 (radius: 15)
[01:39:25 -129615.200007] SLOW spr round 13 (radius: 20)
[01:47:25] [worker #4] ML tree search #5, logLikelihood: -129616.629231
[01:48:53] [worker #2] ML tree search #3, logLikelihood: -129609.847533
[01:50:13 -129615.200004] SLOW spr round 14 (radius: 25)
[02:04:27 -129615.200000] Model parameter optimization (eps = 0.100000)

[02:04:39] [worker #0] ML tree search #1, logLikelihood: -129614.881124

[02:04:39 -383062.882767] Initial branch length optimization
[02:04:43 -332290.789273] Model parameter optimization (eps = 10.000000)
[02:05:35 -331844.507808] AUTODETECT spr round 1 (radius: 5)
[02:09:16 -254879.949486] AUTODETECT spr round 2 (radius: 10)
[02:13:36 -190158.527170] AUTODETECT spr round 3 (radius: 15)
[02:18:29 -158890.182477] AUTODETECT spr round 4 (radius: 20)
[02:18:37] [worker #1] ML tree search #2, logLikelihood: -129623.074311
[02:24:21 -147935.387188] AUTODETECT spr round 5 (radius: 25)
[02:33:05 -145747.303858] SPR radius for FAST iterations: 25 (autodetect)
[02:33:05 -145747.303858] Model parameter optimization (eps = 3.000000)
[02:33:59 -145693.911343] FAST spr round 1 (radius: 25)
[02:39:23 -130536.978886] FAST spr round 2 (radius: 25)
[02:42:09] [worker #3] ML tree search #4, logLikelihood: -129616.018055
[02:43:02 -129726.079171] FAST spr round 3 (radius: 25)
[02:46:00 -129683.011011] FAST spr round 4 (radius: 25)
[02:48:40 -129669.900404] FAST spr round 5 (radius: 25)
[02:51:11 -129658.654135] FAST spr round 6 (radius: 25)
[02:53:37 -129658.654011] Model parameter optimization (eps = 1.000000)
[02:53:47 -129658.053797] SLOW spr round 1 (radius: 5)
[02:57:13 -129630.283215] SLOW spr round 2 (radius: 5)
[03:00:30 -129622.062315] SLOW spr round 3 (radius: 5)
[03:03:40 -129621.564457] SLOW spr round 4 (radius: 5)
[03:06:46 -129621.564075] SLOW spr round 5 (radius: 10)
[03:10:01 -129615.948029] SLOW spr round 6 (radius: 5)
[03:14:06 -129596.221336] SLOW spr round 7 (radius: 5)
[03:17:38 -129596.050374] SLOW spr round 8 (radius: 5)
[03:20:56 -129596.050310] SLOW spr round 9 (radius: 10)
[03:24:09 -129596.050305] SLOW spr round 10 (radius: 15)
[03:30:35 -129594.068005] SLOW spr round 11 (radius: 5)
[03:34:44 -129594.067558] SLOW spr round 12 (radius: 10)
[03:37:22] [worker #2] ML tree search #8, logLikelihood: -129620.705054
[03:38:30 -129594.067544] SLOW spr round 13 (radius: 15)
[03:38:45] [worker #4] ML tree search #10, logLikelihood: -129654.044806
[03:44:23 -129594.067540] SLOW spr round 14 (radius: 20)
[03:56:10 -129594.067538] SLOW spr round 15 (radius: 25)
[04:11:25 -129594.067535] Model parameter optimization (eps = 0.100000)

[04:11:33] [worker #0] ML tree search #6, logLikelihood: -129593.981898

[04:11:33 -383051.724457] Initial branch length optimization
[04:11:38 -332174.520783] Model parameter optimization (eps = 10.000000)
[04:12:33 -331748.951007] AUTODETECT spr round 1 (radius: 5)
[04:16:12 -256869.282625] AUTODETECT spr round 2 (radius: 10)
[04:20:25 -189576.702707] AUTODETECT spr round 3 (radius: 15)
[04:25:06 -160683.828457] AUTODETECT spr round 4 (radius: 20)
[04:30:52 -149880.964261] AUTODETECT spr round 5 (radius: 25)
[04:30:56] [worker #1] ML tree search #7, logLikelihood: -129615.933894
[04:41:32 -145538.258418] SPR radius for FAST iterations: 25 (autodetect)
[04:41:32 -145538.258418] Model parameter optimization (eps = 3.000000)
[04:41:58 -145516.022374] FAST spr round 1 (radius: 25)
[04:47:20 -130713.724176] FAST spr round 2 (radius: 25)
[04:51:02 -129748.712089] FAST spr round 3 (radius: 25)
[04:54:11 -129665.144030] FAST spr round 4 (radius: 25)
[04:56:52 -129660.489788] FAST spr round 5 (radius: 25)
[04:59:21 -129660.488838] Model parameter optimization (eps = 1.000000)
[04:59:41 -129651.932277] SLOW spr round 1 (radius: 5)
[05:03:14 -129630.376937] SLOW spr round 2 (radius: 5)
[05:06:31 -129628.080328] SLOW spr round 3 (radius: 5)
[05:09:43 -129627.894259] SLOW spr round 4 (radius: 5)
[05:10:44] [worker #3] ML tree search #9, logLikelihood: -129627.192021
[05:12:50 -129627.894230] SLOW spr round 5 (radius: 10)
[05:16:09 -129621.693564] SLOW spr round 6 (radius: 5)
[05:20:09 -129611.054020] SLOW spr round 7 (radius: 5)
[05:23:31 -129607.282055] SLOW spr round 8 (radius: 5)
[05:25:57] [worker #4] ML tree search #15, logLikelihood: -129647.294034
[05:26:42 -129606.488159] SLOW spr round 9 (radius: 5)
[05:29:44 -129606.472106] SLOW spr round 10 (radius: 10)
[05:32:49 -129605.532752] SLOW spr round 11 (radius: 5)
[05:36:35 -129605.036115] SLOW spr round 12 (radius: 5)
[05:39:56 -129605.035895] SLOW spr round 13 (radius: 10)
[05:40:13] [worker #2] ML tree search #13, logLikelihood: -129606.218318
[05:43:08 -129604.739025] SLOW spr round 14 (radius: 5)
[05:46:54 -129604.005223] SLOW spr round 15 (radius: 5)
[05:50:11 -129604.004259] SLOW spr round 16 (radius: 10)
[05:53:20 -129603.677891] SLOW spr round 17 (radius: 5)
[05:57:06 -129600.273489] SLOW spr round 18 (radius: 5)
[06:00:25 -129598.917409] SLOW spr round 19 (radius: 5)
[06:03:31 -129598.917335] SLOW spr round 20 (radius: 10)
[06:06:34 -129598.917331] SLOW spr round 21 (radius: 15)
[06:11:55 -129598.917328] SLOW spr round 22 (radius: 20)
[06:20:36 -129598.917325] SLOW spr round 23 (radius: 25)
[06:28:32] [worker #1] ML tree search #12, logLikelihood: -129613.307271
[06:33:45 -129598.917321] Model parameter optimization (eps = 0.100000)

[06:33:56] [worker #0] ML tree search #11, logLikelihood: -129598.714768

[06:33:56 -382235.482339] Initial branch length optimization
[06:33:59 -331156.272162] Model parameter optimization (eps = 10.000000)
[06:34:48 -330702.545639] AUTODETECT spr round 1 (radius: 5)
[06:38:11 -251390.655972] AUTODETECT spr round 2 (radius: 10)
[06:42:10 -179901.753521] AUTODETECT spr round 3 (radius: 15)
[06:46:24 -152685.331777] AUTODETECT spr round 4 (radius: 20)
[06:52:26 -146668.906270] AUTODETECT spr round 5 (radius: 25)
[07:00:28 -146548.177383] SPR radius for FAST iterations: 25 (autodetect)
[07:00:28 -146548.177383] Model parameter optimization (eps = 3.000000)
[07:01:10 -146525.789756] FAST spr round 1 (radius: 25)
[07:05:54 -130320.493445] FAST spr round 2 (radius: 25)
[07:09:14 -129775.912225] FAST spr round 3 (radius: 25)
[07:12:02 -129697.204053] FAST spr round 4 (radius: 25)
[07:13:27] [worker #3] ML tree search #14, logLikelihood: -129624.266945
[07:13:53] [worker #4] ML tree search #20, logLikelihood: -129597.894099
[07:14:31 -129691.247165] FAST spr round 5 (radius: 25)
[07:16:52 -129691.247037] Model parameter optimization (eps = 1.000000)
[07:17:15 -129687.957535] SLOW spr round 1 (radius: 5)
[07:20:31 -129645.854545] SLOW spr round 2 (radius: 5)
[07:23:40 -129624.978046] SLOW spr round 3 (radius: 5)
[07:26:43 -129614.263439] SLOW spr round 4 (radius: 5)
[07:29:38 -129613.660868] SLOW spr round 5 (radius: 5)
[07:32:33 -129613.658567] SLOW spr round 6 (radius: 10)
[07:35:31 -129612.730019] SLOW spr round 7 (radius: 5)
[07:39:12 -129612.727663] SLOW spr round 8 (radius: 10)
[07:42:31 -129612.727545] SLOW spr round 9 (radius: 15)
[07:47:34 -129612.727525] SLOW spr round 10 (radius: 20)
[07:57:17 -129612.727516] SLOW spr round 11 (radius: 25)
[07:59:33] [worker #2] ML tree search #18, logLikelihood: -129629.541857
[08:09:58 -129612.727509] Model parameter optimization (eps = 0.100000)

[08:10:09] [worker #0] ML tree search #16, logLikelihood: -129612.592511

[08:39:31] [worker #1] ML tree search #17, logLikelihood: -129619.381190
[09:09:04] [worker #3] ML tree search #19, logLikelihood: -129627.393292

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.151303,0.199405) (0.293277,0.369549) (0.279322,1.072126) (0.276099,2.035435) 
   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: -129593.981898

AIC score: 263177.963796 / AICc score: 8227217.963796 / BIC score: 269993.084098
Free parameters (model + branch lengths): 1995

WARNING: Number of free parameters (K=1995) is larger than alignment size (n=225).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7Z410/3_mltree/Q7Z410.raxml.log

Analysis started: 04-Jul-2021 23:57:50 / finished: 05-Jul-2021 09:06:55

Elapsed time: 32944.803 seconds

Consumed energy: 2782.838 Wh (= 14 km in an electric car, or 70 km with an e-scooter!)