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 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 04-Jul-2021 20:20:12 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/2_msa/Q8NH53_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53 --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/300621_run/phylogeny-snakemake/results/Q8NH53/2_msa/Q8NH53_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 308 sites

WARNING: Sequences tr_H2Q2Y6_H2Q2Y6_PANTR_9598 and tr_A0A2R8ZMC0_A0A2R8ZMC0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5PAT1_W5PAT1_SHEEP_9940 and tr_W5QBA8_W5QBA8_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_G7NE26_G7NE26_MACMU_9544 and tr_G7PQW9_G7PQW9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G7NE26_G7NE26_MACMU_9544 and tr_A0A2K5KQ23_A0A2K5KQ23_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7NE26_G7NE26_MACMU_9544 and tr_A0A2K6B7U2_A0A2K6B7U2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7NE26_G7NE26_MACMU_9544 and tr_A0A2K5XWB5_A0A2K5XWB5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A1B8XTZ5_A0A1B8XTZ5_XENTR_8364 and tr_F7EIB2_F7EIB2_XENTR_8364 are exactly identical!
WARNING: Sequences tr_G7PQX0_G7PQX0_MACFA_9541 and tr_A0A2K5MW29_A0A2K5MW29_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PQX0_G7PQX0_MACFA_9541 and tr_A0A2K6DNQ6_A0A2K6DNQ6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1S3A1I6_A0A1S3A1I6_ERIEU_9365 and tr_A0A1S3AED1_A0A1S3AED1_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_A0A226MGI1_A0A226MGI1_CALSU_9009 and tr_A0A226NPS5_A0A226NPS5_COLVI_9014 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/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.raxml.reduced.phy

Alignment comprises 1 partitions and 308 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 308 / 308
Gaps: 0.55 %
Invariant sites: 0.32 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 308 / 24640
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -426459.258234] Initial branch length optimization
[00:00:11 -372737.170914] Model parameter optimization (eps = 10.000000)
[00:01:26 -371329.131337] AUTODETECT spr round 1 (radius: 5)
[00:05:50 -252201.791228] AUTODETECT spr round 2 (radius: 10)
[00:10:19 -174586.387100] AUTODETECT spr round 3 (radius: 15)
[00:15:03 -154024.259542] AUTODETECT spr round 4 (radius: 20)
[00:21:10 -140951.310974] AUTODETECT spr round 5 (radius: 25)
[00:26:45 -134812.302947] SPR radius for FAST iterations: 25 (autodetect)
[00:26:45 -134812.302947] Model parameter optimization (eps = 3.000000)
[00:27:23 -134543.425829] FAST spr round 1 (radius: 25)
[00:31:49 -116612.436070] FAST spr round 2 (radius: 25)
[00:35:17 -115679.074884] FAST spr round 3 (radius: 25)
[00:38:27 -115628.900235] FAST spr round 4 (radius: 25)
[00:41:21 -115608.653986] FAST spr round 5 (radius: 25)
[00:43:57 -115603.058602] FAST spr round 6 (radius: 25)
[00:46:28 -115603.047362] Model parameter optimization (eps = 1.000000)
[00:46:46 -115600.118626] SLOW spr round 1 (radius: 5)
[00:50:46 -115564.606515] SLOW spr round 2 (radius: 5)
[00:54:27 -115563.786638] SLOW spr round 3 (radius: 5)
[00:57:55 -115563.786328] SLOW spr round 4 (radius: 10)
[01:01:29 -115561.468489] SLOW spr round 5 (radius: 5)
[01:06:04 -115560.264898] SLOW spr round 6 (radius: 5)
[01:10:02 -115560.264399] SLOW spr round 7 (radius: 10)
[01:13:42 -115560.264384] SLOW spr round 8 (radius: 15)
[01:20:08 -115560.264383] SLOW spr round 9 (radius: 20)
[01:32:49 -115560.264383] SLOW spr round 10 (radius: 25)
[01:40:02] [worker #1] ML tree search #2, logLikelihood: -115542.562935
[01:47:51] [worker #4] ML tree search #5, logLikelihood: -115517.152506
[01:50:42 -115560.264383] Model parameter optimization (eps = 0.100000)

[01:50:52] [worker #0] ML tree search #1, logLikelihood: -115560.198078

[01:50:52 -428895.002815] Initial branch length optimization
[01:51:00 -373964.966538] Model parameter optimization (eps = 10.000000)
[01:52:03] [worker #2] ML tree search #3, logLikelihood: -115553.631343
[01:52:16 -372542.580495] AUTODETECT spr round 1 (radius: 5)
[01:56:37 -250967.942434] AUTODETECT spr round 2 (radius: 10)
[02:01:06 -172519.446652] AUTODETECT spr round 3 (radius: 15)
[02:06:06 -144720.428904] AUTODETECT spr round 4 (radius: 20)
[02:08:02] [worker #3] ML tree search #4, logLikelihood: -115533.451163
[02:12:16 -133351.071265] AUTODETECT spr round 5 (radius: 25)
[02:20:09 -133207.251759] SPR radius for FAST iterations: 25 (autodetect)
[02:20:09 -133207.251759] Model parameter optimization (eps = 3.000000)
[02:20:42 -132963.679492] FAST spr round 1 (radius: 25)
[02:25:13 -116215.531847] FAST spr round 2 (radius: 25)
[02:28:37 -115666.346587] FAST spr round 3 (radius: 25)
[02:31:42 -115609.312296] FAST spr round 4 (radius: 25)
[02:34:32 -115603.862462] FAST spr round 5 (radius: 25)
[02:37:08 -115603.169994] FAST spr round 6 (radius: 25)
[02:39:41 -115603.169993] Model parameter optimization (eps = 1.000000)
[02:40:05 -115599.814030] SLOW spr round 1 (radius: 5)
[02:44:08 -115563.436273] SLOW spr round 2 (radius: 5)
[02:47:54 -115558.340476] SLOW spr round 3 (radius: 5)
[02:51:29 -115556.324124] SLOW spr round 4 (radius: 5)
[02:55:03 -115555.115045] SLOW spr round 5 (radius: 5)
[02:58:36 -115555.001297] SLOW spr round 6 (radius: 5)
[03:02:06 -115555.001281] SLOW spr round 7 (radius: 10)
[03:05:42 -115555.001281] SLOW spr round 8 (radius: 15)
[03:12:28 -115553.312828] SLOW spr round 9 (radius: 5)
[03:17:21 -115553.311902] SLOW spr round 10 (radius: 10)
[03:21:41 -115553.311901] SLOW spr round 11 (radius: 15)
[03:27:55 -115553.311901] SLOW spr round 12 (radius: 20)
[03:29:16] [worker #4] ML tree search #10, logLikelihood: -115533.252521
[03:41:11 -115553.311901] SLOW spr round 13 (radius: 25)
[03:44:52] [worker #2] ML tree search #8, logLikelihood: -115515.662933
[03:51:59] [worker #1] ML tree search #7, logLikelihood: -115553.207800
[03:55:41 -115553.311901] Model parameter optimization (eps = 0.100000)

[03:55:56] [worker #0] ML tree search #6, logLikelihood: -115553.131432

[03:55:56 -428648.137219] Initial branch length optimization
[03:56:06 -373469.867065] Model parameter optimization (eps = 10.000000)
[03:57:21 -371990.643131] AUTODETECT spr round 1 (radius: 5)
[04:01:44 -260287.671958] AUTODETECT spr round 2 (radius: 10)
[04:06:25 -173028.846298] AUTODETECT spr round 3 (radius: 15)
[04:11:05 -141890.428969] AUTODETECT spr round 4 (radius: 20)
[04:13:34] [worker #3] ML tree search #9, logLikelihood: -115526.000525
[04:16:51 -136105.196829] AUTODETECT spr round 5 (radius: 25)
[04:23:56 -134522.190315] SPR radius for FAST iterations: 25 (autodetect)
[04:23:56 -134522.190315] Model parameter optimization (eps = 3.000000)
[04:24:40 -134285.525654] FAST spr round 1 (radius: 25)
[04:28:50 -116284.501279] FAST spr round 2 (radius: 25)
[04:32:15 -115656.249043] FAST spr round 3 (radius: 25)
[04:35:18 -115597.745486] FAST spr round 4 (radius: 25)
[04:38:09 -115582.085611] FAST spr round 5 (radius: 25)
[04:40:39 -115582.085593] Model parameter optimization (eps = 1.000000)
[04:40:57 -115580.869300] SLOW spr round 1 (radius: 5)
[04:44:57 -115542.995911] SLOW spr round 2 (radius: 5)
[04:48:46 -115534.458633] SLOW spr round 3 (radius: 5)
[04:52:22 -115532.594004] SLOW spr round 4 (radius: 5)
[04:55:52 -115532.593905] SLOW spr round 5 (radius: 10)
[04:59:26 -115532.560566] SLOW spr round 6 (radius: 15)
[05:06:18 -115532.560559] SLOW spr round 7 (radius: 20)
[05:19:32 -115532.560559] SLOW spr round 8 (radius: 25)
[05:27:48] [worker #4] ML tree search #15, logLikelihood: -115546.055427
[05:33:37] [worker #1] ML tree search #12, logLikelihood: -115536.000866
[05:36:43 -115531.771286] SLOW spr round 9 (radius: 5)
[05:41:45 -115530.318560] SLOW spr round 10 (radius: 5)
[05:42:13] [worker #2] ML tree search #13, logLikelihood: -115551.299568
[05:46:01 -115530.318559] SLOW spr round 11 (radius: 10)
[05:49:50 -115530.318559] SLOW spr round 12 (radius: 15)
[05:56:27 -115530.318559] SLOW spr round 13 (radius: 20)
[06:10:03 -115530.318559] SLOW spr round 14 (radius: 25)
[06:27:18 -115530.318559] Model parameter optimization (eps = 0.100000)

[06:27:30] [worker #0] ML tree search #11, logLikelihood: -115529.951133

[06:27:30 -428176.371953] Initial branch length optimization
[06:27:38 -373468.134637] Model parameter optimization (eps = 10.000000)
[06:28:55 -372087.743347] AUTODETECT spr round 1 (radius: 5)
[06:33:12 -263302.539517] AUTODETECT spr round 2 (radius: 10)
[06:37:45 -182357.184611] AUTODETECT spr round 3 (radius: 15)
[06:42:28 -159710.730259] AUTODETECT spr round 4 (radius: 20)
[06:42:34] [worker #3] ML tree search #14, logLikelihood: -115529.794625
[06:48:40 -140263.687627] AUTODETECT spr round 5 (radius: 25)
[06:56:34 -136732.568845] SPR radius for FAST iterations: 25 (autodetect)
[06:56:34 -136732.568845] Model parameter optimization (eps = 3.000000)
[06:57:13 -136547.698583] FAST spr round 1 (radius: 25)
[07:01:37 -116801.876540] FAST spr round 2 (radius: 25)
[07:05:02 -115741.100775] FAST spr round 3 (radius: 25)
[07:08:09 -115625.704146] FAST spr round 4 (radius: 25)
[07:11:02 -115607.944331] FAST spr round 5 (radius: 25)
[07:13:34 -115604.679796] FAST spr round 6 (radius: 25)
[07:15:59] [worker #4] ML tree search #20, logLikelihood: -115558.573864
[07:16:02 -115604.679783] Model parameter optimization (eps = 1.000000)
[07:16:20 -115603.416262] SLOW spr round 1 (radius: 5)
[07:20:18 -115571.835020] SLOW spr round 2 (radius: 5)
[07:24:04 -115561.452723] SLOW spr round 3 (radius: 5)
[07:27:37 -115558.906340] SLOW spr round 4 (radius: 5)
[07:31:04 -115558.906337] SLOW spr round 5 (radius: 10)
[07:33:53] [worker #2] ML tree search #18, logLikelihood: -115542.301625
[07:34:40 -115558.906337] SLOW spr round 6 (radius: 15)
[07:41:27 -115558.906337] SLOW spr round 7 (radius: 20)
[07:47:31] [worker #1] ML tree search #17, logLikelihood: -115509.483492
[07:54:31 -115558.906337] SLOW spr round 8 (radius: 25)
[08:11:54 -115558.906337] Model parameter optimization (eps = 0.100000)

[08:12:07] [worker #0] ML tree search #16, logLikelihood: -115558.773135

[08:20:56] [worker #3] ML tree search #19, logLikelihood: -115545.078324

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.277549,0.415247) (0.344658,0.558819) (0.289556,1.545357) (0.088238,2.772973) 
   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: -115509.483492

AIC score: 235028.966985 / AICc score: 8279088.966985 / BIC score: 242507.817050
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=308).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NH53/3_mltree/Q8NH53.raxml.log

Analysis started: 04-Jul-2021 20:20:12 / finished: 05-Jul-2021 04:41:08

Elapsed time: 30056.284 seconds

Consumed energy: 2760.217 Wh (= 14 km in an electric car, or 69 km with an e-scooter!)