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 13-Jul-2021 19:06:18 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/2_msa/Q86SM5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/2_msa/Q86SM5_trimmed_msa.fasta
[00:00:00] Loaded alignment with 511 taxa and 344 sites

WARNING: Sequences tr_H2Q4A8_H2Q4A8_PANTR_9598 and sp_Q96AM1_MRGRF_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G7PNY2_G7PNY2_MACFA_9541 and tr_A0A2K5XL49_A0A2K5XL49_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096N554_A0A096N554_PAPAN_9555 and tr_A0A2K5Y3E3_A0A2K5Y3E3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A091V6L9_A0A091V6L9_NIPNI_128390 and tr_A0A087QH12_A0A087QH12_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A2I0MU43_A0A2I0MU43_COLLI_8932 and tr_A0A1V4JKZ7_A0A1V4JKZ7_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S2ZFZ9_A0A1S2ZFZ9_ERIEU_9365 and tr_A0A1S2ZG13_A0A1S2ZG13_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_A0A226MPU5_A0A226MPU5_CALSU_9009 and tr_A0A226NVJ0_A0A226NVJ0_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A226MQ70_A0A226MQ70_CALSU_9009 and tr_A0A226PES8_A0A226PES8_COLVI_9014 are exactly identical!
WARNING: Duplicate sequences found: 8

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/Q86SM5/3_mltree/Q86SM5.raxml.reduced.phy

Alignment comprises 1 partitions and 344 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 344 / 344
Gaps: 16.90 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5.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 511 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 344 / 27520
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -310490.615687] Initial branch length optimization
[00:00:04 -265796.282826] Model parameter optimization (eps = 10.000000)
[00:00:49 -264180.341009] AUTODETECT spr round 1 (radius: 5)
[00:02:11 -208610.210300] AUTODETECT spr round 2 (radius: 10)
[00:03:54 -157143.116384] AUTODETECT spr round 3 (radius: 15)
[00:06:10 -140612.854497] AUTODETECT spr round 4 (radius: 20)
[00:08:40 -138039.981350] AUTODETECT spr round 5 (radius: 25)
[00:11:39 -137623.572758] SPR radius for FAST iterations: 25 (autodetect)
[00:11:39 -137623.572758] Model parameter optimization (eps = 3.000000)
[00:12:06 -137198.990648] FAST spr round 1 (radius: 25)
[00:14:02 -126616.717757] FAST spr round 2 (radius: 25)
[00:15:26 -125949.831483] FAST spr round 3 (radius: 25)
[00:16:39 -125924.549874] FAST spr round 4 (radius: 25)
[00:17:41 -125920.945726] FAST spr round 5 (radius: 25)
[00:18:40 -125920.945415] Model parameter optimization (eps = 1.000000)
[00:18:52 -125917.845426] SLOW spr round 1 (radius: 5)
[00:20:50 -125871.291774] SLOW spr round 2 (radius: 5)
[00:22:36 -125865.195561] SLOW spr round 3 (radius: 5)
[00:24:12 -125864.735595] SLOW spr round 4 (radius: 5)
[00:25:47 -125864.735575] SLOW spr round 5 (radius: 10)
[00:27:27 -125864.735575] SLOW spr round 6 (radius: 15)
[00:31:14 -125864.735575] SLOW spr round 7 (radius: 20)
[00:36:47 -125864.735575] SLOW spr round 8 (radius: 25)
[00:40:59] [worker #2] ML tree search #3, logLikelihood: -125846.816121
[00:43:00 -125864.735575] Model parameter optimization (eps = 0.100000)

[00:43:12] [worker #0] ML tree search #1, logLikelihood: -125864.345381

[00:43:12 -311652.955413] Initial branch length optimization
[00:43:15] [worker #4] ML tree search #5, logLikelihood: -125846.374730
[00:43:16 -267486.786733] Model parameter optimization (eps = 10.000000)
[00:44:06 -265723.906070] AUTODETECT spr round 1 (radius: 5)
[00:45:19] [worker #1] ML tree search #2, logLikelihood: -125872.027736
[00:45:28 -204944.954895] AUTODETECT spr round 2 (radius: 10)
[00:47:08 -156955.170955] AUTODETECT spr round 3 (radius: 15)
[00:49:12 -137916.655793] AUTODETECT spr round 4 (radius: 20)
[00:51:15] [worker #3] ML tree search #4, logLikelihood: -125850.517244
[00:52:17 -135227.685987] AUTODETECT spr round 5 (radius: 25)
[00:56:01 -135039.297954] SPR radius for FAST iterations: 25 (autodetect)
[00:56:01 -135039.297954] Model parameter optimization (eps = 3.000000)
[00:56:23 -134687.159324] FAST spr round 1 (radius: 25)
[00:58:11 -126144.361901] FAST spr round 2 (radius: 25)
[00:59:38 -125948.810611] FAST spr round 3 (radius: 25)
[01:00:53 -125926.898051] FAST spr round 4 (radius: 25)
[01:01:56 -125921.284498] FAST spr round 5 (radius: 25)
[01:02:56 -125918.836591] FAST spr round 6 (radius: 25)
[01:03:54 -125918.836509] Model parameter optimization (eps = 1.000000)
[01:04:06 -125917.592368] SLOW spr round 1 (radius: 5)
[01:06:00 -125868.347144] SLOW spr round 2 (radius: 5)
[01:07:43 -125866.741424] SLOW spr round 3 (radius: 5)
[01:09:19 -125861.619091] SLOW spr round 4 (radius: 5)
[01:10:55 -125860.855377] SLOW spr round 5 (radius: 5)
[01:12:30 -125859.556017] SLOW spr round 6 (radius: 5)
[01:14:03 -125859.555980] SLOW spr round 7 (radius: 10)
[01:15:41 -125859.351825] SLOW spr round 8 (radius: 5)
[01:17:56 -125854.764749] SLOW spr round 9 (radius: 5)
[01:19:51 -125849.125435] SLOW spr round 10 (radius: 5)
[01:21:32 -125849.124955] SLOW spr round 11 (radius: 10)
[01:23:12 -125848.916130] SLOW spr round 12 (radius: 5)
[01:25:25 -125846.821613] SLOW spr round 13 (radius: 5)
[01:27:17 -125846.493099] SLOW spr round 14 (radius: 5)
[01:27:23] [worker #1] ML tree search #7, logLikelihood: -125849.965568
[01:28:59 -125846.493063] SLOW spr round 15 (radius: 10)
[01:30:40 -125846.493062] SLOW spr round 16 (radius: 15)
[01:31:12] [worker #2] ML tree search #8, logLikelihood: -125851.522876
[01:32:20] [worker #3] ML tree search #9, logLikelihood: -125871.878251
[01:33:33] [worker #4] ML tree search #10, logLikelihood: -125839.540707
[01:34:10 -125846.493062] SLOW spr round 17 (radius: 20)
[01:39:24 -125846.493062] SLOW spr round 18 (radius: 25)
[01:45:14 -125846.493062] Model parameter optimization (eps = 0.100000)

[01:45:30] [worker #0] ML tree search #6, logLikelihood: -125844.009985

[01:45:30 -312405.005355] Initial branch length optimization
[01:45:33 -266744.012085] Model parameter optimization (eps = 10.000000)
[01:46:08 -264961.468121] AUTODETECT spr round 1 (radius: 5)
[01:47:30 -205356.299753] AUTODETECT spr round 2 (radius: 10)
[01:49:09 -159262.083997] AUTODETECT spr round 3 (radius: 15)
[01:51:26 -141988.097275] AUTODETECT spr round 4 (radius: 20)
[01:54:43 -138728.392018] AUTODETECT spr round 5 (radius: 25)
[01:58:10 -138546.379652] SPR radius for FAST iterations: 25 (autodetect)
[01:58:10 -138546.379652] Model parameter optimization (eps = 3.000000)
[01:58:39 -138214.653283] FAST spr round 1 (radius: 25)
[02:00:41 -126503.075625] FAST spr round 2 (radius: 25)
[02:02:09 -125947.831689] FAST spr round 3 (radius: 25)
[02:03:24 -125910.323110] FAST spr round 4 (radius: 25)
[02:04:27 -125908.280310] FAST spr round 5 (radius: 25)
[02:05:27 -125906.784273] FAST spr round 6 (radius: 25)
[02:06:26 -125906.731288] Model parameter optimization (eps = 1.000000)
[02:06:36 -125905.493445] SLOW spr round 1 (radius: 5)
[02:08:25] [worker #1] ML tree search #12, logLikelihood: -125851.402436
[02:08:31 -125861.365324] SLOW spr round 2 (radius: 5)
[02:10:18 -125848.725029] SLOW spr round 3 (radius: 5)
[02:11:56 -125844.715081] SLOW spr round 4 (radius: 5)
[02:13:32 -125843.279316] SLOW spr round 5 (radius: 5)
[02:14:38] [worker #3] ML tree search #14, logLikelihood: -125847.352419
[02:15:10 -125840.629374] SLOW spr round 6 (radius: 5)
[02:16:04] [worker #2] ML tree search #13, logLikelihood: -125834.293214
[02:16:43 -125840.629369] SLOW spr round 7 (radius: 10)
[02:18:25 -125838.624117] SLOW spr round 8 (radius: 5)
[02:20:41 -125835.474767] SLOW spr round 9 (radius: 5)
[02:22:33 -125835.474194] SLOW spr round 10 (radius: 10)
[02:24:18 -125835.474147] SLOW spr round 11 (radius: 15)
[02:24:49] [worker #4] ML tree search #15, logLikelihood: -125839.718380
[02:27:41 -125835.474143] SLOW spr round 12 (radius: 20)
[02:33:05 -125835.474142] SLOW spr round 13 (radius: 25)
[02:39:10 -125835.474142] Model parameter optimization (eps = 0.100000)

[02:39:24] [worker #0] ML tree search #11, logLikelihood: -125834.198304

[02:39:24 -314557.098600] Initial branch length optimization
[02:39:27 -268738.755793] Model parameter optimization (eps = 10.000000)
[02:40:08 -267014.962193] AUTODETECT spr round 1 (radius: 5)
[02:41:32 -204327.173271] AUTODETECT spr round 2 (radius: 10)
[02:43:15 -155877.027113] AUTODETECT spr round 3 (radius: 15)
[02:45:09 -139179.587409] AUTODETECT spr round 4 (radius: 20)
[02:47:51 -138539.820308] AUTODETECT spr round 5 (radius: 25)
[02:50:44] [worker #1] ML tree search #17, logLikelihood: -125840.156945
[02:51:20 -138415.360434] SPR radius for FAST iterations: 25 (autodetect)
[02:51:20 -138415.360434] Model parameter optimization (eps = 3.000000)
[02:51:44 -138128.611069] FAST spr round 1 (radius: 25)
[02:53:38 -126245.392795] FAST spr round 2 (radius: 25)
[02:54:58 -125935.212727] FAST spr round 3 (radius: 25)
[02:56:11 -125897.869079] FAST spr round 4 (radius: 25)
[02:56:26] [worker #2] ML tree search #18, logLikelihood: -125849.172415
[02:57:12 -125897.867448] Model parameter optimization (eps = 1.000000)
[02:57:26 -125895.833464] SLOW spr round 1 (radius: 5)
[02:57:39] [worker #3] ML tree search #19, logLikelihood: -125820.921603
[02:59:17 -125849.309393] SLOW spr round 2 (radius: 5)
[03:00:56 -125846.392330] SLOW spr round 3 (radius: 5)
[03:02:31 -125845.790869] SLOW spr round 4 (radius: 5)
[03:04:05 -125845.790819] SLOW spr round 5 (radius: 10)
[03:05:44 -125845.790815] SLOW spr round 6 (radius: 15)
[03:09:13 -125845.790815] SLOW spr round 7 (radius: 20)
[03:11:21] [worker #4] ML tree search #20, logLikelihood: -125855.724828
[03:14:19 -125845.790814] SLOW spr round 8 (radius: 25)
[03:20:01 -125845.790814] Model parameter optimization (eps = 0.100000)

[03:20:13] [worker #0] ML tree search #16, logLikelihood: -125845.481832


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.179561,0.484662) (0.112358,0.650041) (0.399094,0.752633) (0.308988,1.746236) 
   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: -125820.921603

AIC score: 253691.843205 / AICc score: 2356991.843205 / BIC score: 257628.500904
Free parameters (model + branch lengths): 1025

WARNING: Number of free parameters (K=1025) is larger than alignment size (n=344).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q86SM5/3_mltree/Q86SM5.raxml.log

Analysis started: 13-Jul-2021 19:06:18 / finished: 13-Jul-2021 22:26:31

Elapsed time: 12013.108 seconds