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 19-Jul-2021 22:48:34 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/2_msa/Q96FT9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/3_mltree/Q96FT9 --seed 2 --threads 4 --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 (4 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/2_msa/Q96FT9_trimmed_msa.fasta
[00:00:00] Loaded alignment with 180 taxa and 206 sites

WARNING: Sequences tr_A0A158NR95_A0A158NR95_ATTCE_12957 and tr_A0A151X4X1_A0A151X4X1_9HYME_64791 are exactly identical!
WARNING: Sequences tr_A0A158NR95_A0A158NR95_ATTCE_12957 and tr_A0A195BEA1_A0A195BEA1_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A0K0JHE4_A0A0K0JHE4_BRUMA_6279 and tr_A0A0R3R2J4_A0A0R3R2J4_9BILA_42155 are exactly identical!
WARNING: Sequences tr_B3RKF3_B3RKF3_TRIAD_10228 and tr_A0A369S0H3_A0A369S0H3_9METZ_287889 are exactly identical!
WARNING: Sequences tr_W2R6I7_W2R6I7_PHYPN_761204 and tr_A0A0W8D9M8_A0A0W8D9M8_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2R6I7_W2R6I7_PHYPN_761204 and tr_W2KUQ6_W2KUQ6_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A2I3N7R3_A0A2I3N7R3_PAPAN_9555 and tr_A0A2K5NTY4_A0A2K5NTY4_CERAT_9531 are exactly identical!
WARNING: Duplicate sequences found: 7

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/Q96FT9/3_mltree/Q96FT9.raxml.reduced.phy

Alignment comprises 1 partitions and 206 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 206 / 206
Gaps: 16.44 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/3_mltree/Q96FT9.raxml.rba

Parallelization scheme autoconfig: 4 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 180 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 206 / 16480
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -53904.980721] Initial branch length optimization
[00:00:00 -43314.902609] Model parameter optimization (eps = 10.000000)
[00:00:10 -42994.584909] AUTODETECT spr round 1 (radius: 5)
[00:00:19 -33728.198365] AUTODETECT spr round 2 (radius: 10)
[00:00:32 -26925.692839] AUTODETECT spr round 3 (radius: 15)
[00:00:47 -25249.395080] AUTODETECT spr round 4 (radius: 20)
[00:01:05 -24805.123132] AUTODETECT spr round 5 (radius: 25)
[00:01:23 -24778.213038] SPR radius for FAST iterations: 25 (autodetect)
[00:01:23 -24778.213038] Model parameter optimization (eps = 3.000000)
[00:01:30 -24706.436107] FAST spr round 1 (radius: 25)
[00:01:42 -23353.092482] FAST spr round 2 (radius: 25)
[00:01:52 -23285.044998] FAST spr round 3 (radius: 25)
[00:02:00 -23280.343067] FAST spr round 4 (radius: 25)
[00:02:07 -23280.062154] FAST spr round 5 (radius: 25)
[00:02:15 -23280.061938] Model parameter optimization (eps = 1.000000)
[00:02:19 -23276.325844] SLOW spr round 1 (radius: 5)
[00:02:36 -23270.541159] SLOW spr round 2 (radius: 5)
[00:02:53 -23266.259605] SLOW spr round 3 (radius: 5)
[00:03:08 -23266.258579] SLOW spr round 4 (radius: 10)
[00:03:24 -23266.187551] SLOW spr round 5 (radius: 15)
[00:03:54 -23266.186762] SLOW spr round 6 (radius: 20)
[00:04:24 -23266.186737] SLOW spr round 7 (radius: 25)
[00:04:25] [worker #2] ML tree search #3, logLikelihood: -23269.595982
[00:04:31] [worker #1] ML tree search #2, logLikelihood: -23269.316567
[00:04:45 -23266.186736] Model parameter optimization (eps = 0.100000)

[00:04:48] [worker #0] ML tree search #1, logLikelihood: -23265.951752

[00:04:48 -54215.696971] Initial branch length optimization
[00:04:48 -43588.100480] Model parameter optimization (eps = 10.000000)
[00:04:57 -43233.203553] AUTODETECT spr round 1 (radius: 5)
[00:05:05 -34114.365117] AUTODETECT spr round 2 (radius: 10)
[00:05:18 -27438.053881] AUTODETECT spr round 3 (radius: 15)
[00:05:25] [worker #3] ML tree search #4, logLikelihood: -23271.942890
[00:05:34 -26129.807286] AUTODETECT spr round 4 (radius: 20)
[00:05:51 -25628.294075] AUTODETECT spr round 5 (radius: 25)
[00:06:04 -25314.565522] SPR radius for FAST iterations: 25 (autodetect)
[00:06:04 -25314.565522] Model parameter optimization (eps = 3.000000)
[00:06:12 -25221.232566] FAST spr round 1 (radius: 25)
[00:06:23 -23382.281245] FAST spr round 2 (radius: 25)
[00:06:34 -23282.393471] FAST spr round 3 (radius: 25)
[00:06:42 -23276.701878] FAST spr round 4 (radius: 25)
[00:06:49 -23276.701792] Model parameter optimization (eps = 1.000000)
[00:06:53 -23274.951264] SLOW spr round 1 (radius: 5)
[00:07:10 -23272.128907] SLOW spr round 2 (radius: 5)
[00:07:26 -23270.808821] SLOW spr round 3 (radius: 5)
[00:07:41 -23270.803985] SLOW spr round 4 (radius: 10)
[00:07:58 -23270.803953] SLOW spr round 5 (radius: 15)
[00:08:29 -23270.803951] SLOW spr round 6 (radius: 20)
[00:08:48] [worker #2] ML tree search #7, logLikelihood: -23272.706873
[00:08:58 -23270.803951] SLOW spr round 7 (radius: 25)
[00:09:01] [worker #1] ML tree search #6, logLikelihood: -23273.847365
[00:09:20 -23270.803951] Model parameter optimization (eps = 0.100000)

[00:09:23] [worker #0] ML tree search #5, logLikelihood: -23270.656629

[00:09:24 -53166.362213] Initial branch length optimization
[00:09:24 -43359.851211] Model parameter optimization (eps = 10.000000)
[00:09:33 -43000.113090] AUTODETECT spr round 1 (radius: 5)
[00:09:41 -32915.318250] AUTODETECT spr round 2 (radius: 10)
[00:09:52 -27821.291516] AUTODETECT spr round 3 (radius: 15)
[00:10:07 -25253.188324] AUTODETECT spr round 4 (radius: 20)
[00:10:26 -25182.224228] AUTODETECT spr round 5 (radius: 25)
[00:10:43 -25182.182275] SPR radius for FAST iterations: 20 (autodetect)
[00:10:43 -25182.182275] Model parameter optimization (eps = 3.000000)
[00:10:50 -25119.151520] FAST spr round 1 (radius: 20)
[00:11:04 -23327.506466] FAST spr round 2 (radius: 20)
[00:11:16 -23272.111978] FAST spr round 3 (radius: 20)
[00:11:23 -23268.407624] FAST spr round 4 (radius: 20)
[00:11:31 -23268.407191] Model parameter optimization (eps = 1.000000)
[00:11:35 -23266.369039] SLOW spr round 1 (radius: 5)
[00:11:53 -23263.160957] SLOW spr round 2 (radius: 5)
[00:11:55] [worker #3] ML tree search #8, logLikelihood: -23267.502589
[00:12:08 -23262.129554] SLOW spr round 3 (radius: 5)
[00:12:23 -23262.129308] SLOW spr round 4 (radius: 10)
[00:12:39 -23262.129301] SLOW spr round 5 (radius: 15)
[00:13:10 -23262.129300] SLOW spr round 6 (radius: 20)
[00:13:37] [worker #1] ML tree search #10, logLikelihood: -23268.065529
[00:13:39 -23262.129299] SLOW spr round 7 (radius: 25)
[00:13:55] [worker #2] ML tree search #11, logLikelihood: -23266.751020
[00:14:01 -23262.129299] Model parameter optimization (eps = 0.100000)

[00:14:04] [worker #0] ML tree search #9, logLikelihood: -23262.011053

[00:14:04 -53541.286764] Initial branch length optimization
[00:14:05 -43554.178222] Model parameter optimization (eps = 10.000000)
[00:14:16 -43163.291191] AUTODETECT spr round 1 (radius: 5)
[00:14:25 -33793.592226] AUTODETECT spr round 2 (radius: 10)
[00:14:37 -27794.058415] AUTODETECT spr round 3 (radius: 15)
[00:14:53 -25746.470721] AUTODETECT spr round 4 (radius: 20)
[00:15:11 -25552.109926] AUTODETECT spr round 5 (radius: 25)
[00:15:27 -25464.627405] SPR radius for FAST iterations: 25 (autodetect)
[00:15:27 -25464.627405] Model parameter optimization (eps = 3.000000)
[00:15:34 -25371.836475] FAST spr round 1 (radius: 25)
[00:15:48 -23369.482929] FAST spr round 2 (radius: 25)
[00:15:59 -23311.499108] FAST spr round 3 (radius: 25)
[00:16:06 -23311.497243] Model parameter optimization (eps = 1.000000)
[00:16:10 -23309.916270] SLOW spr round 1 (radius: 5)
[00:16:28 -23304.578868] SLOW spr round 2 (radius: 5)
[00:16:32] [worker #3] ML tree search #12, logLikelihood: -23266.870101
[00:16:44 -23303.853471] SLOW spr round 3 (radius: 5)
[00:16:59 -23303.852788] SLOW spr round 4 (radius: 10)
[00:17:16 -23272.520523] SLOW spr round 5 (radius: 5)
[00:17:39 -23270.332783] SLOW spr round 6 (radius: 5)
[00:17:57 -23270.332684] SLOW spr round 7 (radius: 10)
[00:18:14 -23270.332683] SLOW spr round 8 (radius: 15)
[00:18:28] [worker #1] ML tree search #14, logLikelihood: -23270.241615
[00:18:44 -23270.332683] SLOW spr round 9 (radius: 20)
[00:19:15 -23270.332683] SLOW spr round 10 (radius: 25)
[00:19:34 -23270.332683] Model parameter optimization (eps = 0.100000)

[00:19:38] [worker #0] ML tree search #13, logLikelihood: -23270.066524

[00:19:38 -54295.276206] Initial branch length optimization
[00:19:39 -43648.874761] Model parameter optimization (eps = 10.000000)
[00:19:48 -43284.370255] AUTODETECT spr round 1 (radius: 5)
[00:19:57 -33680.830436] AUTODETECT spr round 2 (radius: 10)
[00:20:10 -27044.071895] AUTODETECT spr round 3 (radius: 15)
[00:20:12] [worker #2] ML tree search #15, logLikelihood: -23262.816242
[00:20:24 -25934.923247] AUTODETECT spr round 4 (radius: 20)
[00:20:41 -25050.757168] AUTODETECT spr round 5 (radius: 25)
[00:20:57 -25042.400933] SPR radius for FAST iterations: 25 (autodetect)
[00:20:57 -25042.400933] Model parameter optimization (eps = 3.000000)
[00:21:05 -24980.587821] FAST spr round 1 (radius: 25)
[00:21:17 -23380.353999] FAST spr round 2 (radius: 25)
[00:21:18] [worker #3] ML tree search #16, logLikelihood: -23266.937331
[00:21:27 -23281.989873] FAST spr round 3 (radius: 25)
[00:21:35 -23279.678561] FAST spr round 4 (radius: 25)
[00:21:43 -23279.417266] FAST spr round 5 (radius: 25)
[00:21:50 -23279.417236] Model parameter optimization (eps = 1.000000)
[00:21:55 -23276.876524] SLOW spr round 1 (radius: 5)
[00:22:12 -23269.971675] SLOW spr round 2 (radius: 5)
[00:22:28 -23268.345497] SLOW spr round 3 (radius: 5)
[00:22:44 -23268.344425] SLOW spr round 4 (radius: 10)
[00:23:00 -23268.344408] SLOW spr round 5 (radius: 15)
[00:23:33 -23268.344408] SLOW spr round 6 (radius: 20)
[00:23:47] [worker #1] ML tree search #18, logLikelihood: -23264.325516
[00:24:02 -23268.344408] SLOW spr round 7 (radius: 25)
[00:24:22 -23268.344408] Model parameter optimization (eps = 0.100000)

[00:24:25] [worker #0] ML tree search #17, logLikelihood: -23266.552038

[00:25:45] [worker #2] ML tree search #19, logLikelihood: -23271.418618
[00:26:52] [worker #3] ML tree search #20, logLikelihood: -23260.567032

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.165070,0.448469) (0.095403,1.725944) (0.340774,0.567821) (0.398754,1.423969) 
   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: -23260.567032

AIC score: 47247.134063 / AICc score: 311511.134063 / BIC score: 48455.153113
Free parameters (model + branch lengths): 363

WARNING: Number of free parameters (K=363) is larger than alignment size (n=206).
         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/Q96FT9/3_mltree/Q96FT9.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/3_mltree/Q96FT9.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/3_mltree/Q96FT9.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96FT9/3_mltree/Q96FT9.raxml.log

Analysis started: 19-Jul-2021 22:48:34 / finished: 19-Jul-2021 23:15:27

Elapsed time: 1612.980 seconds