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 6258R CPU @ 2.70GHz, 56 cores, 187 GB RAM

RAxML-NG was called at 26-Jul-2021 00:10:20 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/2_msa/O14960_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960 --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: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/2_msa/O14960_trimmed_msa.fasta
[00:00:00] Loaded alignment with 137 taxa and 150 sites

WARNING: Sequences tr_G3S367_G3S367_GORGO_9595 and sp_O14960_LECT2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8VQ59_A0A2J8VQ59_PONAB_9601 and tr_H2QRJ3_H2QRJ3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_F6VHJ2_F6VHJ2_MACMU_9544 and tr_A0A2K6CWW7_A0A2K6CWW7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6VHJ2_F6VHJ2_MACMU_9544 and tr_A0A2K5ZIZ7_A0A2K5ZIZ7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V1D993_A0A0V1D993_TRIBR_45882 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V0WHZ1_A0A0V0WHZ1_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V0VBP0_A0A0V0VBP0_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V1L5A6_A0A0V1L5A6_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V1PBE9_A0A0V1PBE9_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V0RTY6_A0A0V0RTY6_9BILA_6336 and tr_A0A0V0UH10_A0A0V0UH10_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1MCP3_A0A0V1MCP3_9BILA_268474 and tr_A0A0V1HXS9_A0A0V1HXS9_9BILA_268475 are exactly identical!
WARNING: Duplicate sequences found: 11

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.raxml.reduced.phy

Alignment comprises 1 partitions and 150 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 150 / 150
Gaps: 6.37 %
Invariant sites: 2.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.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 137 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 150 / 12000
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -32158.665901] Initial branch length optimization
[00:00:00 -25435.118580] Model parameter optimization (eps = 10.000000)
[00:00:09 -25361.340572] AUTODETECT spr round 1 (radius: 5)
[00:00:17 -18130.221259] AUTODETECT spr round 2 (radius: 10)
[00:00:27 -15383.161579] AUTODETECT spr round 3 (radius: 15)
[00:00:41 -12658.225801] AUTODETECT spr round 4 (radius: 20)
[00:00:55 -12650.921889] AUTODETECT spr round 5 (radius: 25)
[00:01:08 -12650.489835] SPR radius for FAST iterations: 25 (autodetect)
[00:01:08 -12650.489835] Model parameter optimization (eps = 3.000000)
[00:01:16 -12614.829019] FAST spr round 1 (radius: 25)
[00:01:27 -11799.638088] FAST spr round 2 (radius: 25)
[00:01:37 -11754.105840] FAST spr round 3 (radius: 25)
[00:01:43 -11736.661321] FAST spr round 4 (radius: 25)
[00:01:49 -11736.132736] FAST spr round 5 (radius: 25)
[00:01:55 -11736.132729] Model parameter optimization (eps = 1.000000)
[00:01:58 -11735.461004] SLOW spr round 1 (radius: 5)
[00:02:12 -11734.360755] SLOW spr round 2 (radius: 5)
[00:02:24 -11734.360641] SLOW spr round 3 (radius: 10)
[00:02:36 -11734.360638] SLOW spr round 4 (radius: 15)
[00:03:00 -11734.360638] SLOW spr round 5 (radius: 20)
[00:03:06] [worker #1] ML tree search #2, logLikelihood: -11729.217390
[00:03:19 -11734.360638] SLOW spr round 6 (radius: 25)
[00:03:35 -11734.360638] Model parameter optimization (eps = 0.100000)

[00:03:37] [worker #0] ML tree search #1, logLikelihood: -11734.337587

[00:03:37 -33419.974079] Initial branch length optimization
[00:03:37 -26575.597652] Model parameter optimization (eps = 10.000000)
[00:03:49] [worker #2] ML tree search #3, logLikelihood: -11731.212494
[00:03:50 -26507.562216] AUTODETECT spr round 1 (radius: 5)
[00:03:57 -19089.096883] AUTODETECT spr round 2 (radius: 10)
[00:04:08 -15101.725575] AUTODETECT spr round 3 (radius: 15)
[00:04:25 -13178.311607] AUTODETECT spr round 4 (radius: 20)
[00:04:37 -13145.834652] AUTODETECT spr round 5 (radius: 25)
[00:04:48 -13145.824838] SPR radius for FAST iterations: 20 (autodetect)
[00:04:48 -13145.824838] Model parameter optimization (eps = 3.000000)
[00:04:54 -13077.320402] FAST spr round 1 (radius: 20)
[00:05:05 -11761.714027] FAST spr round 2 (radius: 20)
[00:05:12 -11736.357981] FAST spr round 3 (radius: 20)
[00:05:18 -11736.357973] Model parameter optimization (eps = 1.000000)
[00:05:23 -11734.491397] SLOW spr round 1 (radius: 5)
[00:05:37 -11731.455772] SLOW spr round 2 (radius: 5)
[00:05:50 -11731.455138] SLOW spr round 3 (radius: 10)
[00:06:02 -11731.455108] SLOW spr round 4 (radius: 15)
[00:06:25 -11731.455106] SLOW spr round 5 (radius: 20)
[00:06:45 -11731.455106] SLOW spr round 6 (radius: 25)
[00:07:00 -11731.455105] Model parameter optimization (eps = 0.100000)

[00:07:02] [worker #0] ML tree search #4, logLikelihood: -11731.450634

[00:07:02 -33153.323799] Initial branch length optimization
[00:07:02 -26774.264298] Model parameter optimization (eps = 10.000000)
[00:07:11 -26694.226021] AUTODETECT spr round 1 (radius: 5)
[00:07:19 -17189.430489] AUTODETECT spr round 2 (radius: 10)
[00:07:29 -14457.121196] AUTODETECT spr round 3 (radius: 15)
[00:07:44 -12968.451924] AUTODETECT spr round 4 (radius: 20)
[00:07:58 -12962.983957] AUTODETECT spr round 5 (radius: 25)
[00:08:00] [worker #2] ML tree search #6, logLikelihood: -11734.657970
[00:08:07] [worker #1] ML tree search #5, logLikelihood: -11729.486026
[00:08:07 -12962.969457] SPR radius for FAST iterations: 20 (autodetect)
[00:08:07 -12962.969457] Model parameter optimization (eps = 3.000000)
[00:08:16 -12917.719118] FAST spr round 1 (radius: 20)
[00:08:28 -11813.504309] FAST spr round 2 (radius: 20)
[00:08:36 -11741.578079] FAST spr round 3 (radius: 20)
[00:08:42 -11741.577710] Model parameter optimization (eps = 1.000000)
[00:08:47 -11739.184051] SLOW spr round 1 (radius: 5)
[00:09:00 -11738.506916] SLOW spr round 2 (radius: 5)
[00:09:13 -11738.506864] SLOW spr round 3 (radius: 10)
[00:09:24 -11738.506862] SLOW spr round 4 (radius: 15)
[00:09:46 -11738.506861] SLOW spr round 5 (radius: 20)
[00:10:05 -11738.506861] SLOW spr round 6 (radius: 25)
[00:10:23 -11738.506861] Model parameter optimization (eps = 0.100000)

[00:10:24] [worker #0] ML tree search #7, logLikelihood: -11738.505265

[00:10:24 -32675.730606] Initial branch length optimization
[00:10:25 -25898.824141] Model parameter optimization (eps = 10.000000)
[00:10:34 -25830.866990] AUTODETECT spr round 1 (radius: 5)
[00:10:41 -18566.254630] AUTODETECT spr round 2 (radius: 10)
[00:10:52 -14466.841146] AUTODETECT spr round 3 (radius: 15)
[00:11:08 -13219.483181] AUTODETECT spr round 4 (radius: 20)
[00:11:22 -13194.494422] AUTODETECT spr round 5 (radius: 25)
[00:11:32 -13162.400013] SPR radius for FAST iterations: 25 (autodetect)
[00:11:32 -13162.400013] Model parameter optimization (eps = 3.000000)
[00:11:38] [worker #1] ML tree search #8, logLikelihood: -11739.675729
[00:11:42 -13106.994547] FAST spr round 1 (radius: 25)
[00:11:47] [worker #2] ML tree search #9, logLikelihood: -11731.001626
[00:11:53 -11778.434673] FAST spr round 2 (radius: 25)
[00:12:02 -11734.075421] FAST spr round 3 (radius: 25)
[00:12:08 -11734.075139] Model parameter optimization (eps = 1.000000)
[00:12:11 -11733.722028] SLOW spr round 1 (radius: 5)
[00:12:25 -11732.487443] SLOW spr round 2 (radius: 5)
[00:12:38 -11732.487367] SLOW spr round 3 (radius: 10)
[00:12:49 -11732.487367] SLOW spr round 4 (radius: 15)
[00:13:08 -11732.487367] SLOW spr round 5 (radius: 20)
[00:13:28 -11732.487367] SLOW spr round 6 (radius: 25)
[00:13:46 -11732.487367] Model parameter optimization (eps = 0.100000)

[00:13:47] [worker #0] ML tree search #10, logLikelihood: -11732.481406

[00:13:47 -33120.792709] Initial branch length optimization
[00:13:48 -26415.170219] Model parameter optimization (eps = 10.000000)
[00:13:58 -26341.465804] AUTODETECT spr round 1 (radius: 5)
[00:14:06 -18230.099812] AUTODETECT spr round 2 (radius: 10)
[00:14:16 -14847.073745] AUTODETECT spr round 3 (radius: 15)
[00:14:30 -13625.728327] AUTODETECT spr round 4 (radius: 20)
[00:14:45 -13314.647737] AUTODETECT spr round 5 (radius: 25)
[00:14:56 -13314.646399] SPR radius for FAST iterations: 20 (autodetect)
[00:14:56 -13314.646399] Model parameter optimization (eps = 3.000000)
[00:15:04 -13276.709785] FAST spr round 1 (radius: 20)
[00:15:13 -11811.233318] FAST spr round 2 (radius: 20)
[00:15:20] [worker #2] ML tree search #12, logLikelihood: -11730.680566
[00:15:24 -11748.795603] FAST spr round 3 (radius: 20)
[00:15:28] [worker #1] ML tree search #11, logLikelihood: -11728.930835
[00:15:30 -11743.303346] FAST spr round 4 (radius: 20)
[00:15:36 -11743.302602] Model parameter optimization (eps = 1.000000)
[00:15:41 -11737.844002] SLOW spr round 1 (radius: 5)
[00:15:56 -11733.953651] SLOW spr round 2 (radius: 5)
[00:16:09 -11733.953519] SLOW spr round 3 (radius: 10)
[00:16:21 -11733.058833] SLOW spr round 4 (radius: 5)
[00:16:41 -11733.058371] SLOW spr round 5 (radius: 10)
[00:16:56 -11731.902968] SLOW spr round 6 (radius: 5)
[00:17:16 -11729.278909] SLOW spr round 7 (radius: 5)
[00:17:32 -11729.278756] SLOW spr round 8 (radius: 10)
[00:17:45 -11729.278755] SLOW spr round 9 (radius: 15)
[00:18:09 -11729.278755] SLOW spr round 10 (radius: 20)
[00:18:29 -11729.278755] SLOW spr round 11 (radius: 25)
[00:18:43 -11729.278755] Model parameter optimization (eps = 0.100000)

[00:18:48] [worker #0] ML tree search #13, logLikelihood: -11728.776471

[00:18:48 -32793.954521] Initial branch length optimization
[00:18:48 -26525.855598] Model parameter optimization (eps = 10.000000)
[00:18:58 -26461.009229] AUTODETECT spr round 1 (radius: 5)
[00:19:00] [worker #1] ML tree search #14, logLikelihood: -11729.217441
[00:19:06 -17919.461610] AUTODETECT spr round 2 (radius: 10)
[00:19:17 -14648.653210] AUTODETECT spr round 3 (radius: 15)
[00:19:31 -13669.541659] AUTODETECT spr round 4 (radius: 20)
[00:19:45 -13446.659235] AUTODETECT spr round 5 (radius: 25)
[00:19:51] [worker #2] ML tree search #15, logLikelihood: -11731.062634
[00:19:56 -13446.646960] SPR radius for FAST iterations: 20 (autodetect)
[00:19:56 -13446.646960] Model parameter optimization (eps = 3.000000)
[00:20:02 -13429.090790] FAST spr round 1 (radius: 20)
[00:20:14 -11946.566181] FAST spr round 2 (radius: 20)
[00:20:24 -11755.243342] FAST spr round 3 (radius: 20)
[00:20:31 -11747.167271] FAST spr round 4 (radius: 20)
[00:20:37 -11746.177813] FAST spr round 5 (radius: 20)
[00:20:43 -11746.177045] Model parameter optimization (eps = 1.000000)
[00:20:50 -11736.417914] SLOW spr round 1 (radius: 5)
[00:21:05 -11729.435544] SLOW spr round 2 (radius: 5)
[00:21:18 -11729.435378] SLOW spr round 3 (radius: 10)
[00:21:30 -11729.435377] SLOW spr round 4 (radius: 15)
[00:21:53 -11729.435377] SLOW spr round 5 (radius: 20)
[00:22:12 -11729.435377] SLOW spr round 6 (radius: 25)
[00:22:27 -11729.435377] Model parameter optimization (eps = 0.100000)

[00:22:31] [worker #0] ML tree search #16, logLikelihood: -11729.302593

[00:22:31 -33030.982597] Initial branch length optimization
[00:22:31 -26036.110244] Model parameter optimization (eps = 10.000000)
[00:22:37] [worker #1] ML tree search #17, logLikelihood: -11729.044567
[00:22:41 -25991.332366] AUTODETECT spr round 1 (radius: 5)
[00:22:48 -18074.673379] AUTODETECT spr round 2 (radius: 10)
[00:22:58 -14572.062244] AUTODETECT spr round 3 (radius: 15)
[00:23:10 -13543.575999] AUTODETECT spr round 4 (radius: 20)
[00:23:19] [worker #2] ML tree search #18, logLikelihood: -11731.651299
[00:23:23 -13402.220452] AUTODETECT spr round 5 (radius: 25)
[00:23:33 -13402.207159] SPR radius for FAST iterations: 20 (autodetect)
[00:23:33 -13402.207159] Model parameter optimization (eps = 3.000000)
[00:23:42 -13348.152906] FAST spr round 1 (radius: 20)
[00:23:54 -11849.237644] FAST spr round 2 (radius: 20)
[00:24:04 -11754.762601] FAST spr round 3 (radius: 20)
[00:24:12 -11747.437533] FAST spr round 4 (radius: 20)
[00:24:18 -11747.437418] Model parameter optimization (eps = 1.000000)
[00:24:24 -11738.983424] SLOW spr round 1 (radius: 5)
[00:24:38 -11734.755749] SLOW spr round 2 (radius: 5)
[00:24:53 -11731.127557] SLOW spr round 3 (radius: 5)
[00:25:06 -11730.151049] SLOW spr round 4 (radius: 5)
[00:25:19 -11730.150318] SLOW spr round 5 (radius: 10)
[00:25:32 -11730.150305] SLOW spr round 6 (radius: 15)
[00:25:54 -11730.150305] SLOW spr round 7 (radius: 20)
[00:26:02] [worker #1] ML tree search #20, logLikelihood: -11729.322232
[00:26:14 -11730.150305] SLOW spr round 8 (radius: 25)
[00:26:29 -11730.150305] Model parameter optimization (eps = 0.100000)

[00:26:33] [worker #0] ML tree search #19, logLikelihood: -11729.302984


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.241186,0.503546) (0.234972,0.618198) (0.387278,1.192691) (0.136564,1.987270) 
   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: -11728.776471

AIC score: 24011.552942 / AICc score: 178023.552942 / BIC score: 24845.498919
Free parameters (model + branch lengths): 277

WARNING: Number of free parameters (K=277) is larger than alignment size (n=150).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14960/3_mltree/O14960.raxml.log

Analysis started: 26-Jul-2021 00:10:20 / finished: 26-Jul-2021 00:36:53

Elapsed time: 1593.624 seconds

Consumed energy: 82.388 Wh