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 05-Jul-2021 20:36:00 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/2_msa/A0A087WSZ9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9 --seed 2 --threads 3 --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 (3 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/2_msa/A0A087WSZ9_trimmed_msa.fasta
[00:00:00] Loaded alignment with 571 taxa and 141 sites

WARNING: Sequences tr_A0A2I2ZDW6_A0A2I2ZDW6_GORGO_9595 and tr_A0A2I3SMQ1_A0A2I3SMQ1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2ZDW6_A0A2I2ZDW6_GORGO_9595 and tr_A0A2R9AQP2_A0A2R9AQP2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZGI9_A0A2I2ZGI9_GORGO_9595 and tr_A0A2R9AP81_A0A2R9AP81_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RU43_A0A2I3RU43_PANTR_9598 and tr_A0A2R9ANU3_A0A2R9ANU3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3S9E1_A0A2I3S9E1_PANTR_9598 and tr_A0A2R9AX91_A0A2R9AX91_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SED0_A0A2I3SED0_PANTR_9598 and tr_A0A2R8ZC95_A0A2R8ZC95_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RG00_H2RG00_PANTR_9598 and tr_A0A2R9B208_A0A2R9B208_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QY39_A0A1D5QY39_MACMU_9544 and tr_G7P9T5_G7P9T5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G7P9S2_G7P9S2_MACFA_9541 and tr_A0A0D9RV10_A0A0D9RV10_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I3M7V8_A0A2I3M7V8_PAPAN_9555 and tr_A0A2K6AM26_A0A2K6AM26_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2K6CZK7_A0A2K6CZK7_MACNE_9545 and tr_A0A2K5XTT1_A0A2K5XTT1_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 11

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.reduced.phy

Alignment comprises 1 partitions and 141 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 141 / 141
Gaps: 19.55 %
Invariant sites: 0.71 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.rba

Parallelization scheme autoconfig: 3 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 571 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 141 / 11280
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -129517.538658] Initial branch length optimization
[00:00:01 -113722.971206] Model parameter optimization (eps = 10.000000)
[00:00:19 -112812.654494] AUTODETECT spr round 1 (radius: 5)
[00:01:10 -81892.607535] AUTODETECT spr round 2 (radius: 10)
[00:02:12 -59121.642662] AUTODETECT spr round 3 (radius: 15)
[00:03:29 -50397.171153] AUTODETECT spr round 4 (radius: 20)
[00:05:22 -49996.024816] AUTODETECT spr round 5 (radius: 25)
[00:07:31 -49876.788557] SPR radius for FAST iterations: 25 (autodetect)
[00:07:31 -49876.788557] Model parameter optimization (eps = 3.000000)
[00:07:43 -49852.453638] FAST spr round 1 (radius: 25)
[00:08:40 -44539.060075] FAST spr round 2 (radius: 25)
[00:09:28 -44256.179166] FAST spr round 3 (radius: 25)
[00:10:11 -44231.927601] FAST spr round 4 (radius: 25)
[00:10:50 -44227.110484] FAST spr round 5 (radius: 25)
[00:11:28 -44226.222639] FAST spr round 6 (radius: 25)
[00:12:05 -44226.222489] Model parameter optimization (eps = 1.000000)
[00:12:13 -44224.289464] SLOW spr round 1 (radius: 5)
[00:13:12 -44211.954817] SLOW spr round 2 (radius: 5)
[00:14:05 -44211.900109] SLOW spr round 3 (radius: 10)
[00:15:02 -44211.899357] SLOW spr round 4 (radius: 15)
[00:17:00 -44211.899348] SLOW spr round 5 (radius: 20)
[00:19:58 -44211.899348] SLOW spr round 6 (radius: 25)
[00:22:50 -44211.899348] Model parameter optimization (eps = 0.100000)

[00:22:54] [worker #0] ML tree search #1, logLikelihood: -44211.814498

[00:22:54 -130009.872893] Initial branch length optimization
[00:22:55 -114032.266707] Model parameter optimization (eps = 10.000000)
[00:23:15 -113106.754693] AUTODETECT spr round 1 (radius: 5)
[00:23:36] [worker #1] ML tree search #2, logLikelihood: -44200.997169
[00:24:07 -84933.405838] AUTODETECT spr round 2 (radius: 10)
[00:25:08 -58289.543321] AUTODETECT spr round 3 (radius: 15)
[00:26:19 -49880.945311] AUTODETECT spr round 4 (radius: 20)
[00:28:02] [worker #2] ML tree search #3, logLikelihood: -44200.816927
[00:28:10 -49105.283207] AUTODETECT spr round 5 (radius: 25)
[00:30:21 -49105.244223] SPR radius for FAST iterations: 20 (autodetect)
[00:30:21 -49105.244223] Model parameter optimization (eps = 3.000000)
[00:30:35 -49066.543534] FAST spr round 1 (radius: 20)
[00:31:32 -44529.628425] FAST spr round 2 (radius: 20)
[00:32:23 -44237.042152] FAST spr round 3 (radius: 20)
[00:33:06 -44220.955769] FAST spr round 4 (radius: 20)
[00:33:45 -44220.350042] FAST spr round 5 (radius: 20)
[00:34:23 -44220.349848] Model parameter optimization (eps = 1.000000)
[00:34:31 -44218.581798] SLOW spr round 1 (radius: 5)
[00:35:30 -44209.218823] SLOW spr round 2 (radius: 5)
[00:36:25 -44208.336751] SLOW spr round 3 (radius: 5)
[00:37:17 -44208.336557] SLOW spr round 4 (radius: 10)
[00:38:15 -44208.336513] SLOW spr round 5 (radius: 15)
[00:40:11 -44208.336503] SLOW spr round 6 (radius: 20)
[00:42:59 -44208.336500] SLOW spr round 7 (radius: 25)
[00:45:53 -44208.336500] Model parameter optimization (eps = 0.100000)

[00:45:56] [worker #0] ML tree search #4, logLikelihood: -44208.331612

[00:45:56 -128609.882395] Initial branch length optimization
[00:45:58 -112956.252288] Model parameter optimization (eps = 10.000000)
[00:46:23 -112049.745296] AUTODETECT spr round 1 (radius: 5)
[00:47:14 -83398.883210] AUTODETECT spr round 2 (radius: 10)
[00:48:16 -57366.761182] AUTODETECT spr round 3 (radius: 15)
[00:49:30 -50400.216150] AUTODETECT spr round 4 (radius: 20)
[00:50:37] [worker #1] ML tree search #5, logLikelihood: -44198.337397
[00:51:14 -49234.269569] AUTODETECT spr round 5 (radius: 25)
[00:53:07 -49190.992896] SPR radius for FAST iterations: 25 (autodetect)
[00:53:07 -49190.992896] Model parameter optimization (eps = 3.000000)
[00:53:19 -49168.822336] FAST spr round 1 (radius: 25)
[00:54:04] [worker #2] ML tree search #6, logLikelihood: -44212.655456
[00:54:17 -44416.347892] FAST spr round 2 (radius: 25)
[00:55:06 -44233.639952] FAST spr round 3 (radius: 25)
[00:55:47 -44222.596607] FAST spr round 4 (radius: 25)
[00:56:26 -44222.377040] FAST spr round 5 (radius: 25)
[00:57:03 -44222.377023] Model parameter optimization (eps = 1.000000)
[00:57:13 -44220.601408] SLOW spr round 1 (radius: 5)
[00:58:12 -44205.388737] SLOW spr round 2 (radius: 5)
[00:59:08 -44203.703775] SLOW spr round 3 (radius: 5)
[01:00:02 -44203.003844] SLOW spr round 4 (radius: 5)
[01:00:55 -44202.979850] SLOW spr round 5 (radius: 10)
[01:01:52 -44202.979690] SLOW spr round 6 (radius: 15)
[01:03:49 -44202.979689] SLOW spr round 7 (radius: 20)
[01:06:38 -44202.979689] SLOW spr round 8 (radius: 25)
[01:09:35 -44202.979689] Model parameter optimization (eps = 0.100000)

[01:09:40] [worker #0] ML tree search #7, logLikelihood: -44202.820070

[01:09:40 -129702.918877] Initial branch length optimization
[01:09:41 -114155.670902] Model parameter optimization (eps = 10.000000)
[01:10:05 -113250.394726] AUTODETECT spr round 1 (radius: 5)
[01:10:56 -82561.212765] AUTODETECT spr round 2 (radius: 10)
[01:11:56 -56301.365160] AUTODETECT spr round 3 (radius: 15)
[01:13:11 -48959.504982] AUTODETECT spr round 4 (radius: 20)
[01:15:05 -48816.799340] AUTODETECT spr round 5 (radius: 25)
[01:17:15 -48816.792957] SPR radius for FAST iterations: 20 (autodetect)
[01:17:15 -48816.792957] Model parameter optimization (eps = 3.000000)
[01:17:28 -48797.328329] FAST spr round 1 (radius: 20)
[01:17:37] [worker #2] ML tree search #9, logLikelihood: -44220.048571
[01:18:06] [worker #1] ML tree search #8, logLikelihood: -44204.909661
[01:18:25 -44447.866234] FAST spr round 2 (radius: 20)
[01:19:15 -44230.284361] FAST spr round 3 (radius: 20)
[01:19:57 -44220.666980] FAST spr round 4 (radius: 20)
[01:20:35 -44219.414036] FAST spr round 5 (radius: 20)
[01:21:13 -44219.410324] Model parameter optimization (eps = 1.000000)
[01:21:23 -44214.935620] SLOW spr round 1 (radius: 5)
[01:22:23 -44198.908447] SLOW spr round 2 (radius: 5)
[01:23:18 -44196.310790] SLOW spr round 3 (radius: 5)
[01:24:11 -44195.573640] SLOW spr round 4 (radius: 5)
[01:25:04 -44195.143353] SLOW spr round 5 (radius: 5)
[01:25:57 -44195.005104] SLOW spr round 6 (radius: 5)
[01:26:49 -44195.005103] SLOW spr round 7 (radius: 10)
[01:27:46 -44195.005103] SLOW spr round 8 (radius: 15)
[01:29:43 -44195.005103] SLOW spr round 9 (radius: 20)
[01:32:35 -44195.005103] SLOW spr round 10 (radius: 25)
[01:35:31 -44195.005103] Model parameter optimization (eps = 0.100000)

[01:35:39] [worker #0] ML tree search #10, logLikelihood: -44194.801032

[01:35:39 -129677.072637] Initial branch length optimization
[01:35:40 -113684.554505] Model parameter optimization (eps = 10.000000)
[01:36:02 -112710.684760] AUTODETECT spr round 1 (radius: 5)
[01:36:53 -80872.775302] AUTODETECT spr round 2 (radius: 10)
[01:37:55 -56311.897888] AUTODETECT spr round 3 (radius: 15)
[01:39:07 -49452.201413] AUTODETECT spr round 4 (radius: 20)
[01:40:34 -48896.510801] AUTODETECT spr round 5 (radius: 25)
[01:40:57] [worker #1] ML tree search #11, logLikelihood: -44201.052371
[01:42:01 -48842.791878] SPR radius for FAST iterations: 25 (autodetect)
[01:42:01 -48842.791878] Model parameter optimization (eps = 3.000000)
[01:42:13 -48813.460331] FAST spr round 1 (radius: 25)
[01:43:10 -44473.843954] FAST spr round 2 (radius: 25)
[01:43:58 -44294.945079] FAST spr round 3 (radius: 25)
[01:44:29] [worker #2] ML tree search #12, logLikelihood: -44199.633442
[01:44:42 -44241.018423] FAST spr round 4 (radius: 25)
[01:45:21 -44234.967400] FAST spr round 5 (radius: 25)
[01:45:59 -44234.967028] Model parameter optimization (eps = 1.000000)
[01:46:10 -44228.237276] SLOW spr round 1 (radius: 5)
[01:47:10 -44218.459222] SLOW spr round 2 (radius: 5)
[01:48:04 -44218.458733] SLOW spr round 3 (radius: 10)
[01:49:02 -44218.458699] SLOW spr round 4 (radius: 15)
[01:51:00 -44218.458696] SLOW spr round 5 (radius: 20)
[01:53:58 -44218.458695] SLOW spr round 6 (radius: 25)
[01:56:54 -44218.458695] Model parameter optimization (eps = 0.100000)

[01:56:58] [worker #0] ML tree search #13, logLikelihood: -44218.437750

[01:56:58 -130267.063947] Initial branch length optimization
[01:57:00 -113931.889755] Model parameter optimization (eps = 10.000000)
[01:57:27 -113014.161923] AUTODETECT spr round 1 (radius: 5)
[01:58:19 -83129.487272] AUTODETECT spr round 2 (radius: 10)
[01:59:21 -54493.767941] AUTODETECT spr round 3 (radius: 15)
[02:00:30 -50780.807974] AUTODETECT spr round 4 (radius: 20)
[02:02:04 -49247.446021] AUTODETECT spr round 5 (radius: 25)
[02:03:44] [worker #1] ML tree search #14, logLikelihood: -44213.178599
[02:04:01 -49140.751849] SPR radius for FAST iterations: 25 (autodetect)
[02:04:02 -49140.751849] Model parameter optimization (eps = 3.000000)
[02:04:13 -49116.648119] FAST spr round 1 (radius: 25)
[02:05:09 -44538.919636] FAST spr round 2 (radius: 25)
[02:05:56 -44293.735188] FAST spr round 3 (radius: 25)
[02:06:40 -44250.927585] FAST spr round 4 (radius: 25)
[02:07:03] [worker #2] ML tree search #15, logLikelihood: -44205.836265
[02:07:21 -44240.797425] FAST spr round 5 (radius: 25)
[02:07:59 -44229.643031] FAST spr round 6 (radius: 25)
[02:08:38 -44227.415996] FAST spr round 7 (radius: 25)
[02:09:15 -44227.415993] Model parameter optimization (eps = 1.000000)
[02:09:25 -44225.066988] SLOW spr round 1 (radius: 5)
[02:10:24 -44212.278070] SLOW spr round 2 (radius: 5)
[02:11:18 -44211.488965] SLOW spr round 3 (radius: 5)
[02:12:11 -44211.488965] SLOW spr round 4 (radius: 10)
[02:13:09 -44211.488965] SLOW spr round 5 (radius: 15)
[02:15:05 -44211.488964] SLOW spr round 6 (radius: 20)
[02:17:57 -44211.488964] SLOW spr round 7 (radius: 25)
[02:20:54 -44211.488964] Model parameter optimization (eps = 0.100000)

[02:21:02] [worker #0] ML tree search #16, logLikelihood: -44211.287977

[02:21:02 -129491.308583] Initial branch length optimization
[02:21:03 -113638.817554] Model parameter optimization (eps = 10.000000)
[02:21:22 -112716.934047] AUTODETECT spr round 1 (radius: 5)
[02:22:14 -82568.000570] AUTODETECT spr round 2 (radius: 10)
[02:23:15 -58709.331657] AUTODETECT spr round 3 (radius: 15)
[02:24:21 -52430.097910] AUTODETECT spr round 4 (radius: 20)
[02:26:12 -50909.351469] AUTODETECT spr round 5 (radius: 25)
[02:27:20] [worker #1] ML tree search #17, logLikelihood: -44207.686006
[02:28:24 -50595.084793] SPR radius for FAST iterations: 25 (autodetect)
[02:28:24 -50595.084793] Model parameter optimization (eps = 3.000000)
[02:28:38 -50562.046535] FAST spr round 1 (radius: 25)
[02:29:37 -44540.252316] FAST spr round 2 (radius: 25)
[02:30:27 -44260.287312] FAST spr round 3 (radius: 25)
[02:31:11 -44243.662405] FAST spr round 4 (radius: 25)
[02:31:49 -44240.960506] FAST spr round 5 (radius: 25)
[02:32:27 -44240.409351] FAST spr round 6 (radius: 25)
[02:33:04 -44240.408862] Model parameter optimization (eps = 1.000000)
[02:33:13 -44239.076172] SLOW spr round 1 (radius: 5)
[02:33:26] [worker #2] ML tree search #18, logLikelihood: -44210.693341
[02:34:12 -44218.009458] SLOW spr round 2 (radius: 5)
[02:35:07 -44215.591072] SLOW spr round 3 (radius: 5)
[02:36:00 -44215.591003] SLOW spr round 4 (radius: 10)
[02:36:57 -44215.591002] SLOW spr round 5 (radius: 15)
[02:39:00 -44215.591002] SLOW spr round 6 (radius: 20)
[02:42:05 -44215.591002] SLOW spr round 7 (radius: 25)
[02:44:57 -44215.591002] Model parameter optimization (eps = 0.100000)

[02:45:04] [worker #0] ML tree search #19, logLikelihood: -44215.375961

[02:50:03] [worker #1] ML tree search #20, logLikelihood: -44201.569582

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.119451,0.406698) (0.108879,0.708839) (0.425832,0.875321) (0.345838,1.450107) 
   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: -44194.801032

AIC score: 90679.602064 / AICc score: 2715019.602064 / BIC score: 94055.932138
Free parameters (model + branch lengths): 1145

WARNING: Number of free parameters (K=1145) is larger than alignment size (n=141).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 64 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A0A087WSZ9/3_mltree/A0A087WSZ9.raxml.log

Analysis started: 05-Jul-2021 20:36:00 / finished: 05-Jul-2021 23:26:04

Elapsed time: 10203.865 seconds