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 30-Jun-2021 17:08:46 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/2_msa/P59538_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/3_mltree/P59538 --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/P59538/2_msa/P59538_trimmed_msa.fasta
[00:00:00] Loaded alignment with 548 taxa and 314 sites

WARNING: Sequences tr_A0A2K5TIY2_A0A2K5TIY2_GORGO_9595 and tr_A0A2R8Z990_A0A2R8Z990_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q645Y5_TA2R3_GORGO_9595 and sp_Q646A7_TA2R3_PANTR_9598 are exactly identical!
WARNING: Sequences sp_Q645Y5_TA2R3_GORGO_9595 and sp_Q646D2_TA2R3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QVI5_H2QVI5_PANTR_9598 and sp_Q646D5_TA2R5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RAY5_H2RAY5_PANTR_9598 and tr_A0A2R8ZIS3_A0A2R8ZIS3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_J7ME65_J7ME65_PANTR_9598 and tr_A0A2R8ZNR4_A0A2R8ZNR4_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q646B5_T2R10_PANTR_9598 and sp_Q646D7_T2R10_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q646C3_T2R50_PANTR_9598 and sp_Q646E4_T2R50_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q646H0_TA2R1_PANTR_9598 and sp_Q646G9_TA2R1_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q645T7_TA2R7_MACMU_9544 and tr_G7PJU2_G7PJU2_MACFA_9541 are exactly identical!
WARNING: Duplicate sequences found: 10

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/P59538/3_mltree/P59538.raxml.reduced.phy

Alignment comprises 1 partitions and 314 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 314 / 314
Gaps: 5.13 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/3_mltree/P59538.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 548 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 314 / 25120
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -348497.753347] Initial branch length optimization
[00:00:04 -293248.795473] Model parameter optimization (eps = 10.000000)
[00:00:48 -291726.001865] AUTODETECT spr round 1 (radius: 5)
[00:02:18 -230056.723769] AUTODETECT spr round 2 (radius: 10)
[00:04:06 -168521.993736] AUTODETECT spr round 3 (radius: 15)
[00:06:06 -150234.035236] AUTODETECT spr round 4 (radius: 20)
[00:08:47 -144180.380961] AUTODETECT spr round 5 (radius: 25)
[00:11:57 -143248.748000] SPR radius for FAST iterations: 25 (autodetect)
[00:11:57 -143248.748000] Model parameter optimization (eps = 3.000000)
[00:12:20 -142880.909438] FAST spr round 1 (radius: 25)
[00:14:05 -127687.793347] FAST spr round 2 (radius: 25)
[00:15:27 -126856.091070] FAST spr round 3 (radius: 25)
[00:16:40 -126798.988772] FAST spr round 4 (radius: 25)
[00:17:42 -126798.988770] Model parameter optimization (eps = 1.000000)
[00:17:58 -126795.975493] SLOW spr round 1 (radius: 5)
[00:19:52 -126763.703477] SLOW spr round 2 (radius: 5)
[00:21:34 -126761.943938] SLOW spr round 3 (radius: 5)
[00:23:13 -126760.761272] SLOW spr round 4 (radius: 5)
[00:24:46 -126760.761260] SLOW spr round 5 (radius: 10)
[00:26:29 -126755.314719] SLOW spr round 6 (radius: 5)
[00:28:43 -126755.314251] SLOW spr round 7 (radius: 10)
[00:30:39 -126755.314250] SLOW spr round 8 (radius: 15)
[00:33:59 -126755.314250] SLOW spr round 9 (radius: 20)
[00:39:45 -126755.314250] SLOW spr round 10 (radius: 25)
[00:42:15] [worker #2] ML tree search #3, logLikelihood: -126764.292873
[00:43:40] [worker #3] ML tree search #4, logLikelihood: -126768.913248
[00:45:50 -126755.314250] Model parameter optimization (eps = 0.100000)

[00:46:03] [worker #0] ML tree search #1, logLikelihood: -126754.730608

[00:46:03 -347118.191252] Initial branch length optimization
[00:46:07 -292629.624091] Model parameter optimization (eps = 10.000000)
[00:46:47] [worker #4] ML tree search #5, logLikelihood: -126768.892021
[00:46:50 -291156.631733] AUTODETECT spr round 1 (radius: 5)
[00:48:20 -223273.876480] AUTODETECT spr round 2 (radius: 10)
[00:48:54] [worker #1] ML tree search #2, logLikelihood: -126761.467667
[00:50:03 -162457.634452] AUTODETECT spr round 3 (radius: 15)
[00:52:05 -147737.568719] AUTODETECT spr round 4 (radius: 20)
[00:54:39 -142716.652516] AUTODETECT spr round 5 (radius: 25)
[00:58:05 -142600.493044] SPR radius for FAST iterations: 25 (autodetect)
[00:58:05 -142600.493044] Model parameter optimization (eps = 3.000000)
[00:58:28 -142280.037278] FAST spr round 1 (radius: 25)
[01:00:10 -127336.587743] FAST spr round 2 (radius: 25)
[01:01:30 -126898.433431] FAST spr round 3 (radius: 25)
[01:02:47 -126844.859435] FAST spr round 4 (radius: 25)
[01:03:55 -126805.138828] FAST spr round 5 (radius: 25)
[01:04:59 -126797.550217] FAST spr round 6 (radius: 25)
[01:05:59 -126797.549217] Model parameter optimization (eps = 1.000000)
[01:06:14 -126796.058292] SLOW spr round 1 (radius: 5)
[01:08:05 -126772.702249] SLOW spr round 2 (radius: 5)
[01:09:47 -126768.666856] SLOW spr round 3 (radius: 5)
[01:11:22 -126768.666845] SLOW spr round 4 (radius: 10)
[01:13:03 -126761.964786] SLOW spr round 5 (radius: 5)
[01:15:17 -126761.964776] SLOW spr round 6 (radius: 10)
[01:17:12 -126761.964775] SLOW spr round 7 (radius: 15)
[01:20:31 -126761.964775] SLOW spr round 8 (radius: 20)
[01:25:58] [worker #3] ML tree search #9, logLikelihood: -126771.503687
[01:26:03] [worker #2] ML tree search #8, logLikelihood: -126766.439395
[01:26:19 -126761.964774] SLOW spr round 9 (radius: 25)
[01:30:57] [worker #4] ML tree search #10, logLikelihood: -126768.796888
[01:32:31 -126761.964774] Model parameter optimization (eps = 0.100000)

[01:32:37] [worker #0] ML tree search #6, logLikelihood: -126761.890986

[01:32:37 -347084.081779] Initial branch length optimization
[01:32:41 -292553.135602] Model parameter optimization (eps = 10.000000)
[01:33:28 -290964.729776] AUTODETECT spr round 1 (radius: 5)
[01:34:59 -226927.286171] AUTODETECT spr round 2 (radius: 10)
[01:35:30] [worker #1] ML tree search #7, logLikelihood: -126762.779196
[01:36:42 -176690.608527] AUTODETECT spr round 3 (radius: 15)
[01:39:10 -146398.874425] AUTODETECT spr round 4 (radius: 20)
[01:42:13 -143334.817415] AUTODETECT spr round 5 (radius: 25)
[01:45:29 -143164.377033] SPR radius for FAST iterations: 25 (autodetect)
[01:45:29 -143164.377033] Model parameter optimization (eps = 3.000000)
[01:45:50 -142823.111255] FAST spr round 1 (radius: 25)
[01:47:45 -127317.993892] FAST spr round 2 (radius: 25)
[01:49:12 -126868.747350] FAST spr round 3 (radius: 25)
[01:50:25 -126831.394544] FAST spr round 4 (radius: 25)
[01:51:29 -126825.264598] FAST spr round 5 (radius: 25)
[01:52:31 -126823.648102] FAST spr round 6 (radius: 25)
[01:53:31 -126823.648096] Model parameter optimization (eps = 1.000000)
[01:53:40 -126822.794869] SLOW spr round 1 (radius: 5)
[01:55:32 -126790.742183] SLOW spr round 2 (radius: 5)
[01:57:11 -126787.701112] SLOW spr round 3 (radius: 5)
[01:58:45 -126787.701082] SLOW spr round 4 (radius: 10)
[02:00:26 -126781.474079] SLOW spr round 5 (radius: 5)
[02:02:42 -126780.734751] SLOW spr round 6 (radius: 5)
[02:04:36 -126779.400666] SLOW spr round 7 (radius: 5)
[02:06:16 -126779.400582] SLOW spr round 8 (radius: 10)
[02:07:59 -126778.571358] SLOW spr round 9 (radius: 5)
[02:09:30] [worker #2] ML tree search #13, logLikelihood: -126753.840094
[02:10:15 -126774.612403] SLOW spr round 10 (radius: 5)
[02:12:07 -126774.441943] SLOW spr round 11 (radius: 5)
[02:12:43] [worker #3] ML tree search #14, logLikelihood: -126785.154676
[02:13:47 -126774.441939] SLOW spr round 12 (radius: 10)
[02:14:44] [worker #4] ML tree search #15, logLikelihood: -126761.111470
[02:15:31 -126774.441939] SLOW spr round 13 (radius: 15)
[02:18:56] [worker #1] ML tree search #12, logLikelihood: -126763.704039
[02:19:11 -126774.441939] SLOW spr round 14 (radius: 20)
[02:24:52 -126774.441939] SLOW spr round 15 (radius: 25)
[02:31:14 -126774.441939] Model parameter optimization (eps = 0.100000)

[02:31:25] [worker #0] ML tree search #11, logLikelihood: -126773.954177

[02:31:25 -346959.224569] Initial branch length optimization
[02:31:30 -293310.856779] Model parameter optimization (eps = 10.000000)
[02:32:28 -291797.780324] AUTODETECT spr round 1 (radius: 5)
[02:33:58 -231996.261230] AUTODETECT spr round 2 (radius: 10)
[02:35:44 -179508.819132] AUTODETECT spr round 3 (radius: 15)
[02:38:01 -151071.904310] AUTODETECT spr round 4 (radius: 20)
[02:41:08 -143260.196524] AUTODETECT spr round 5 (radius: 25)
[02:44:27 -142367.703634] SPR radius for FAST iterations: 25 (autodetect)
[02:44:27 -142367.703634] Model parameter optimization (eps = 3.000000)
[02:44:47 -142078.882712] FAST spr round 1 (radius: 25)
[02:46:37 -127444.759541] FAST spr round 2 (radius: 25)
[02:48:01 -126870.509513] FAST spr round 3 (radius: 25)
[02:49:16 -126808.035087] FAST spr round 4 (radius: 25)
[02:50:16 -126802.819779] FAST spr round 5 (radius: 25)
[02:51:15 -126802.819734] Model parameter optimization (eps = 1.000000)
[02:51:29 -126796.583222] SLOW spr round 1 (radius: 5)
[02:52:29] [worker #2] ML tree search #18, logLikelihood: -126761.665998
[02:53:20 -126771.220613] SLOW spr round 2 (radius: 5)
[02:54:58 -126768.996181] SLOW spr round 3 (radius: 5)
[02:56:32 -126768.461456] SLOW spr round 4 (radius: 5)
[02:58:04 -126768.461384] SLOW spr round 5 (radius: 10)
[02:59:45 -126768.461383] SLOW spr round 6 (radius: 15)
[03:00:39] [worker #3] ML tree search #19, logLikelihood: -126766.047016
[03:03:08] [worker #4] ML tree search #20, logLikelihood: -126759.174709
[03:03:19 -126768.461383] SLOW spr round 7 (radius: 20)
[03:05:02] [worker #1] ML tree search #17, logLikelihood: -126754.485921
[03:08:56 -126768.461383] SLOW spr round 8 (radius: 25)
[03:15:07 -126768.461383] Model parameter optimization (eps = 0.100000)

[03:15:12] [worker #0] ML tree search #16, logLikelihood: -126768.454945


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.197673,0.610195) (0.104979,0.752780) (0.552645,1.014437) (0.144703,1.656714) 
   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: -126753.840094

AIC score: 255705.680187 / AICc score: 2673505.680187 / BIC score: 259826.263079
Free parameters (model + branch lengths): 1099

WARNING: Number of free parameters (K=1099) is larger than alignment size (n=314).
         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/P59538/3_mltree/P59538.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/3_mltree/P59538.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/3_mltree/P59538.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P59538/3_mltree/P59538.raxml.log

Analysis started: 30-Jun-2021 17:08:46 / finished: 30-Jun-2021 20:23:58

Elapsed time: 11712.145 seconds