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 00:10:21 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/2_msa/O14908_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/3_mltree/O14908 --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/250721_run/phylogeny-snakemake/results/O14908/2_msa/O14908_trimmed_msa.fasta
[00:00:00] Loaded alignment with 513 taxa and 315 sites

WARNING: Sequences tr_M3XV54_M3XV54_MUSPF_9669 and tr_E2R071_E2R071_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3XV54_M3XV54_MUSPF_9669 and tr_A0A2U3Y3G5_A0A2U3Y3G5_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_Q7JX82_Q7JX82_DROME_7227 and tr_B4HRK6_B4HRK6_DROSE_7238 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A2J8T797_A0A2J8T797_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_K7CA28_K7CA28_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_G7PZL8_G7PZL8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A0A0MVP6_A0A0A0MVP6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A0D9R1Y8_A0A0D9R1Y8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A2K5NHZ8_A0A2K5NHZ8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A2K6E9G4_A0A2K6E9G4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3S238_G3S238_GORGO_9595 and tr_A0A2K6ACI4_A0A2K6ACI4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_Q28ZX6_Q28ZX6_DROPS_46245 and tr_B4GGM9_B4GGM9_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A1D5QRJ6_A0A1D5QRJ6_MACMU_9544 and tr_A0A2K6B0E9_A0A2K6B0E9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6VZG8_F6VZG8_MACMU_9544 and tr_A0A2K6C4U8_A0A2K6C4U8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_E1BJQ7_E1BJQ7_BOVIN_9913 and tr_A0A2Y9MAH9_A0A2Y9MAH9_DELLE_9749 are exactly identical!
WARNING: Sequences tr_E1BJQ7_E1BJQ7_BOVIN_9913 and tr_A0A2Y9FS19_A0A2Y9FS19_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_E1BJQ7_E1BJQ7_BOVIN_9913 and tr_A0A384A438_A0A384A438_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A151NBE4_A0A151NBE4_ALLMI_8496 and tr_A0A1U7SEZ6_A0A1U7SEZ6_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A226NHP3_A0A226NHP3_CALSU_9009 and tr_A0A226PK39_A0A226PK39_COLVI_9014 are exactly identical!
WARNING: Duplicate sequences found: 19

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/O14908/3_mltree/O14908.raxml.reduced.phy

Alignment comprises 1 partitions and 315 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 315 / 315
Gaps: 15.41 %
Invariant sites: 0.32 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/3_mltree/O14908.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 513 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 315 / 25200
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -242088.283267] Initial branch length optimization
[00:00:05 -195543.988720] Model parameter optimization (eps = 10.000000)
[00:01:30 -194802.648788] AUTODETECT spr round 1 (radius: 5)
[00:03:40 -137146.658696] AUTODETECT spr round 2 (radius: 10)
[00:06:11 -107238.390765] AUTODETECT spr round 3 (radius: 15)
[00:09:12 -92681.208973] AUTODETECT spr round 4 (radius: 20)
[00:12:59 -82865.691519] AUTODETECT spr round 5 (radius: 25)
[00:17:57 -79261.728424] SPR radius for FAST iterations: 25 (autodetect)
[00:17:57 -79261.728424] Model parameter optimization (eps = 3.000000)
[00:19:15 -78959.914212] FAST spr round 1 (radius: 25)
[00:22:02 -69537.047080] FAST spr round 2 (radius: 25)
[00:24:12 -69153.189829] FAST spr round 3 (radius: 25)
[00:26:01 -69132.102470] FAST spr round 4 (radius: 25)
[00:27:32 -69132.083723] Model parameter optimization (eps = 1.000000)
[00:28:16 -69123.797549] SLOW spr round 1 (radius: 5)
[00:30:53 -69114.336499] SLOW spr round 2 (radius: 5)
[00:33:23 -69111.481852] SLOW spr round 3 (radius: 5)
[00:35:46 -69110.522780] SLOW spr round 4 (radius: 5)
[00:38:06 -69110.522711] SLOW spr round 5 (radius: 10)
[00:40:26 -69108.963269] SLOW spr round 6 (radius: 5)
[00:43:46 -69108.931625] SLOW spr round 7 (radius: 10)
[00:46:31 -69108.927961] SLOW spr round 8 (radius: 15)
[00:50:53 -69108.926616] SLOW spr round 9 (radius: 20)
[00:56:45] [worker #4] ML tree search #5, logLikelihood: -69091.880563
[00:58:11 -69108.828455] SLOW spr round 10 (radius: 25)
[01:06:35 -69108.827874] Model parameter optimization (eps = 0.100000)

[01:06:57] [worker #0] ML tree search #1, logLikelihood: -69107.946957

[01:06:57 -246176.643200] Initial branch length optimization
[01:07:01 -196809.989914] Model parameter optimization (eps = 10.000000)
[01:08:15 -196090.054248] AUTODETECT spr round 1 (radius: 5)
[01:10:24 -140646.223874] AUTODETECT spr round 2 (radius: 10)
[01:12:52 -108678.644975] AUTODETECT spr round 3 (radius: 15)
[01:15:53 -89692.502537] AUTODETECT spr round 4 (radius: 20)
[01:20:15 -80788.001844] AUTODETECT spr round 5 (radius: 25)
[01:20:28] [worker #3] ML tree search #4, logLikelihood: -69111.960751
[01:23:05] [worker #1] ML tree search #2, logLikelihood: -69116.408076
[01:23:18] [worker #2] ML tree search #3, logLikelihood: -69102.632644
[01:26:08 -79787.494541] SPR radius for FAST iterations: 25 (autodetect)
[01:26:08 -79787.494541] Model parameter optimization (eps = 3.000000)
[01:27:02 -79545.360249] FAST spr round 1 (radius: 25)
[01:29:55 -69591.222742] FAST spr round 2 (radius: 25)
[01:32:10 -69136.258614] FAST spr round 3 (radius: 25)
[01:33:54 -69117.612124] FAST spr round 4 (radius: 25)
[01:35:25 -69117.610874] Model parameter optimization (eps = 1.000000)
[01:35:49 -69114.542085] SLOW spr round 1 (radius: 5)
[01:38:27 -69102.189988] SLOW spr round 2 (radius: 5)
[01:40:53 -69102.185089] SLOW spr round 3 (radius: 10)
[01:43:13 -69102.100495] SLOW spr round 4 (radius: 15)
[01:47:55 -69102.100238] SLOW spr round 5 (radius: 20)
[01:55:05 -69101.683745] SLOW spr round 6 (radius: 5)
[01:58:36 -69101.680099] SLOW spr round 7 (radius: 10)
[02:01:38 -69101.679942] SLOW spr round 8 (radius: 15)
[02:05:53 -69101.679892] SLOW spr round 9 (radius: 20)
[02:13:14 -69101.679875] SLOW spr round 10 (radius: 25)
[02:18:55] [worker #3] ML tree search #9, logLikelihood: -69090.298633
[02:19:37] [worker #1] ML tree search #7, logLikelihood: -69101.752679
[02:20:46] [worker #4] ML tree search #10, logLikelihood: -69103.156452
[02:21:09] [worker #2] ML tree search #8, logLikelihood: -69112.660297
[02:21:25 -69101.679869] Model parameter optimization (eps = 0.100000)

[02:21:37] [worker #0] ML tree search #6, logLikelihood: -69101.622734

[02:21:37 -242394.465204] Initial branch length optimization
[02:21:41 -196799.876402] Model parameter optimization (eps = 10.000000)
[02:23:13 -196006.385852] AUTODETECT spr round 1 (radius: 5)
[02:25:22 -140897.924736] AUTODETECT spr round 2 (radius: 10)
[02:27:46 -111426.873577] AUTODETECT spr round 3 (radius: 15)
[02:30:52 -88894.958600] AUTODETECT spr round 4 (radius: 20)
[02:35:39 -80444.861107] AUTODETECT spr round 5 (radius: 25)
[02:41:21 -80357.495558] SPR radius for FAST iterations: 25 (autodetect)
[02:41:21 -80357.495558] Model parameter optimization (eps = 3.000000)
[02:42:26 -80083.658655] FAST spr round 1 (radius: 25)
[02:45:39 -69598.726623] FAST spr round 2 (radius: 25)
[02:47:47 -69151.922821] FAST spr round 3 (radius: 25)
[02:49:40 -69125.105090] FAST spr round 4 (radius: 25)
[02:51:15 -69113.268049] FAST spr round 5 (radius: 25)
[02:52:43 -69113.197393] Model parameter optimization (eps = 1.000000)
[02:53:03 -69111.801276] SLOW spr round 1 (radius: 5)
[02:55:40 -69103.249434] SLOW spr round 2 (radius: 5)
[02:58:05 -69101.324545] SLOW spr round 3 (radius: 5)
[03:00:25 -69101.322461] SLOW spr round 4 (radius: 10)
[03:02:42 -69101.322281] SLOW spr round 5 (radius: 15)
[03:07:15 -69101.322254] SLOW spr round 6 (radius: 20)
[03:14:19 -69101.322242] SLOW spr round 7 (radius: 25)
[03:19:23] [worker #4] ML tree search #15, logLikelihood: -69103.159048
[03:22:22 -69101.322232] Model parameter optimization (eps = 0.100000)

[03:22:31] [worker #0] ML tree search #11, logLikelihood: -69101.298710

[03:22:31 -243999.855507] Initial branch length optimization
[03:22:37 -196973.879321] Model parameter optimization (eps = 10.000000)
[03:23:55 -196293.517873] AUTODETECT spr round 1 (radius: 5)
[03:26:02 -139596.799601] AUTODETECT spr round 2 (radius: 10)
[03:28:27 -109229.333876] AUTODETECT spr round 3 (radius: 15)
[03:31:39 -91734.609415] AUTODETECT spr round 4 (radius: 20)
[03:35:51 -83390.032258] AUTODETECT spr round 5 (radius: 25)
[03:40:42 -82294.404412] SPR radius for FAST iterations: 25 (autodetect)
[03:40:43 -82294.404412] Model parameter optimization (eps = 3.000000)
[03:41:32 -82036.988066] FAST spr round 1 (radius: 25)
[03:44:16] [worker #2] ML tree search #13, logLikelihood: -69118.056881
[03:44:19 -70538.203943] FAST spr round 2 (radius: 25)
[03:46:25] [worker #3] ML tree search #14, logLikelihood: -69103.060501
[03:46:36 -69246.077264] FAST spr round 3 (radius: 25)
[03:48:28 -69133.777446] FAST spr round 4 (radius: 25)
[03:49:35] [worker #1] ML tree search #12, logLikelihood: -69095.437132
[03:49:58 -69131.023972] FAST spr round 5 (radius: 25)
[03:51:24 -69131.023809] Model parameter optimization (eps = 1.000000)
[03:51:55 -69126.480358] SLOW spr round 1 (radius: 5)
[03:54:34 -69104.713226] SLOW spr round 2 (radius: 5)
[03:57:01 -69101.729205] SLOW spr round 3 (radius: 5)
[03:59:20 -69101.726963] SLOW spr round 4 (radius: 10)
[04:01:37 -69101.726348] SLOW spr round 5 (radius: 15)
[04:06:14 -69101.726127] SLOW spr round 6 (radius: 20)
[04:13:01 -69101.048230] SLOW spr round 7 (radius: 5)
[04:16:29 -69101.047354] SLOW spr round 8 (radius: 10)
[04:19:28 -69101.047128] SLOW spr round 9 (radius: 15)
[04:23:40 -69101.047041] SLOW spr round 10 (radius: 20)
[04:30:42 -69101.047006] SLOW spr round 11 (radius: 25)
[04:38:53 -69101.046992] Model parameter optimization (eps = 0.100000)

[04:39:17] [worker #0] ML tree search #16, logLikelihood: -69100.295192

[04:53:07] [worker #4] ML tree search #20, logLikelihood: -69100.337721
[05:05:46] [worker #1] ML tree search #17, logLikelihood: -69106.338938
[05:07:06] [worker #3] ML tree search #19, logLikelihood: -69115.275320
[05:07:24] [worker #2] ML tree search #18, logLikelihood: -69101.938769

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.151663,0.461551) (0.139408,0.528251) (0.412941,0.799174) (0.295988,1.778265) 
   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: -69090.298633

AIC score: 140238.597267 / AICc score: 2259978.597267 / BIC score: 144099.994512
Free parameters (model + branch lengths): 1029

WARNING: Number of free parameters (K=1029) is larger than alignment size (n=315).
         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/O14908/3_mltree/O14908.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/3_mltree/O14908.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/3_mltree/O14908.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14908/3_mltree/O14908.raxml.log

Analysis started: 26-Jul-2021 00:10:21 / finished: 26-Jul-2021 05:17:46

Elapsed time: 18444.994 seconds

Consumed energy: 800.780 Wh (= 4 km in an electric car, or 20 km with an e-scooter!)