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 20:23:56 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/2_msa/A6NFU8_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/3_mltree/A6NFU8 --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/A6NFU8/2_msa/A6NFU8_trimmed_msa.fasta
[00:00:00] Loaded alignment with 280 taxa and 197 sites

WARNING: Sequences tr_A0A2I3HNV5_A0A2I3HNV5_NOMLE_61853 and tr_G3RNX9_G3RNX9_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HNV5_A0A2I3HNV5_NOMLE_61853 and tr_H2NY33_H2NY33_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3HNV5_A0A2I3HNV5_NOMLE_61853 and tr_H2QFT0_H2QFT0_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HNV5_A0A2I3HNV5_NOMLE_61853 and sp_Q9NXJ5_PGPI_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3HNV5_A0A2I3HNV5_NOMLE_61853 and tr_A0A2R9ABG4_A0A2R9ABG4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F7GUB6_F7GUB6_MACMU_9544 and tr_G7PWZ2_G7PWZ2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GUB6_F7GUB6_MACMU_9544 and tr_A0A0A0MW47_A0A0A0MW47_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A091VQQ2_A0A091VQQ2_NIPNI_128390 and tr_A0A091GI53_A0A091GI53_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A091VQQ2_A0A091VQQ2_NIPNI_128390 and tr_A0A0A0B0Y9_A0A0A0B0Y9_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A0V1CVA9_A0A0V1CVA9_TRIBR_45882 and tr_A0A0V0V568_A0A0V0V568_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A2U3W8U2_A0A2U3W8U2_ODORO_9708 and tr_A0A2U3YRV4_A0A2U3YRV4_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2U3W8U2_A0A2U3W8U2_ODORO_9708 and tr_A0A2Y9IXV4_A0A2Y9IXV4_ENHLU_391180 are exactly identical!
WARNING: Duplicate sequences found: 12

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/A6NFU8/3_mltree/A6NFU8.raxml.reduced.phy

Alignment comprises 1 partitions and 197 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 197 / 197
Gaps: 8.96 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/3_mltree/A6NFU8.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 280 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 197 / 15760
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -86997.996985] Initial branch length optimization
[00:00:00 -68943.539871] Model parameter optimization (eps = 10.000000)
[00:00:15 -68725.115889] AUTODETECT spr round 1 (radius: 5)
[00:00:33 -51720.529521] AUTODETECT spr round 2 (radius: 10)
[00:00:55 -44466.417015] AUTODETECT spr round 3 (radius: 15)
[00:01:21 -41823.163530] AUTODETECT spr round 4 (radius: 20)
[00:01:54 -39717.466806] AUTODETECT spr round 5 (radius: 25)
[00:02:31 -39035.956806] SPR radius for FAST iterations: 25 (autodetect)
[00:02:31 -39035.956806] Model parameter optimization (eps = 3.000000)
[00:02:40 -38926.725261] FAST spr round 1 (radius: 25)
[00:03:09 -34919.357862] FAST spr round 2 (radius: 25)
[00:03:31 -34737.397125] FAST spr round 3 (radius: 25)
[00:03:51 -34722.695766] FAST spr round 4 (radius: 25)
[00:04:07 -34717.058627] FAST spr round 5 (radius: 25)
[00:04:22 -34717.057169] Model parameter optimization (eps = 1.000000)
[00:04:27 -34715.881032] SLOW spr round 1 (radius: 5)
[00:04:56 -34707.254372] SLOW spr round 2 (radius: 5)
[00:05:23 -34706.660425] SLOW spr round 3 (radius: 5)
[00:05:48 -34706.596885] SLOW spr round 4 (radius: 10)
[00:06:14 -34706.573959] SLOW spr round 5 (radius: 15)
[00:06:59 -34706.573163] SLOW spr round 6 (radius: 20)
[00:08:01 -34706.573150] SLOW spr round 7 (radius: 25)
[00:08:25] [worker #2] ML tree search #3, logLikelihood: -34710.270713
[00:09:02 -34706.573149] Model parameter optimization (eps = 0.100000)

[00:09:05] [worker #0] ML tree search #1, logLikelihood: -34706.481388

[00:09:05 -87485.986822] Initial branch length optimization
[00:09:06 -69326.072298] Model parameter optimization (eps = 10.000000)
[00:09:19 -69133.548019] AUTODETECT spr round 1 (radius: 5)
[00:09:36 -53976.280710] AUTODETECT spr round 2 (radius: 10)
[00:09:59 -44154.824137] AUTODETECT spr round 3 (radius: 15)
[00:10:31 -40086.259969] AUTODETECT spr round 4 (radius: 20)
[00:11:07 -37575.636034] AUTODETECT spr round 5 (radius: 25)
[00:11:26] [worker #1] ML tree search #2, logLikelihood: -34708.371204
[00:11:42 -37485.905519] SPR radius for FAST iterations: 25 (autodetect)
[00:11:42 -37485.905519] Model parameter optimization (eps = 3.000000)
[00:11:52 -37410.158008] FAST spr round 1 (radius: 25)
[00:12:17 -34958.360868] FAST spr round 2 (radius: 25)
[00:12:39 -34794.518987] FAST spr round 3 (radius: 25)
[00:12:57 -34763.698183] FAST spr round 4 (radius: 25)
[00:13:10] [worker #3] ML tree search #4, logLikelihood: -34700.569324
[00:13:12 -34763.697050] Model parameter optimization (eps = 1.000000)
[00:13:16 -34762.524827] SLOW spr round 1 (radius: 5)
[00:13:44 -34734.062528] SLOW spr round 2 (radius: 5)
[00:14:11 -34732.896858] SLOW spr round 3 (radius: 5)
[00:14:35 -34732.896046] SLOW spr round 4 (radius: 10)
[00:15:00 -34732.190019] SLOW spr round 5 (radius: 5)
[00:15:40 -34721.744172] SLOW spr round 6 (radius: 5)
[00:16:12 -34721.399603] SLOW spr round 7 (radius: 5)
[00:16:39 -34721.398792] SLOW spr round 8 (radius: 10)
[00:17:06 -34705.932503] SLOW spr round 9 (radius: 5)
[00:17:41 -34704.175082] SLOW spr round 10 (radius: 5)
[00:18:11 -34704.175075] SLOW spr round 11 (radius: 10)
[00:18:37 -34703.956583] SLOW spr round 12 (radius: 5)
[00:19:13 -34703.956440] SLOW spr round 13 (radius: 10)
[00:19:41 -34703.956440] SLOW spr round 14 (radius: 15)
[00:20:23 -34703.956440] SLOW spr round 15 (radius: 20)
[00:21:23 -34703.956440] SLOW spr round 16 (radius: 25)
[00:21:35] [worker #2] ML tree search #7, logLikelihood: -34701.865824
[00:22:22 -34703.956440] Model parameter optimization (eps = 0.100000)

[00:22:24] [worker #0] ML tree search #5, logLikelihood: -34703.928522

[00:22:24 -86618.223872] Initial branch length optimization
[00:22:25 -69054.009982] Model parameter optimization (eps = 10.000000)
[00:22:38] [worker #1] ML tree search #6, logLikelihood: -34706.514440
[00:22:38 -68854.276937] AUTODETECT spr round 1 (radius: 5)
[00:22:55 -52801.812574] AUTODETECT spr round 2 (radius: 10)
[00:23:18 -44101.320591] AUTODETECT spr round 3 (radius: 15)
[00:23:45 -40481.631099] AUTODETECT spr round 4 (radius: 20)
[00:24:09] [worker #3] ML tree search #8, logLikelihood: -34698.923156
[00:24:19 -37871.999206] AUTODETECT spr round 5 (radius: 25)
[00:24:50 -37870.049351] SPR radius for FAST iterations: 25 (autodetect)
[00:24:50 -37870.049351] Model parameter optimization (eps = 3.000000)
[00:24:59 -37784.231852] FAST spr round 1 (radius: 25)
[00:25:27 -35113.051576] FAST spr round 2 (radius: 25)
[00:25:48 -34816.843298] FAST spr round 3 (radius: 25)
[00:26:07 -34706.834704] FAST spr round 4 (radius: 25)
[00:26:22 -34706.833095] Model parameter optimization (eps = 1.000000)
[00:26:26 -34706.004201] SLOW spr round 1 (radius: 5)
[00:26:55 -34696.080919] SLOW spr round 2 (radius: 5)
[00:27:20 -34696.077350] SLOW spr round 3 (radius: 10)
[00:27:45 -34696.022021] SLOW spr round 4 (radius: 15)
[00:28:30 -34695.338586] SLOW spr round 5 (radius: 5)
[00:29:09 -34694.479802] SLOW spr round 6 (radius: 5)
[00:29:41 -34694.479008] SLOW spr round 7 (radius: 10)
[00:30:08 -34694.478995] SLOW spr round 8 (radius: 15)
[00:30:52 -34694.478994] SLOW spr round 9 (radius: 20)
[00:31:53] [worker #1] ML tree search #10, logLikelihood: -34698.379756
[00:31:55 -34694.478993] SLOW spr round 10 (radius: 25)
[00:32:45] [worker #2] ML tree search #11, logLikelihood: -34719.594228
[00:32:54 -34694.478992] Model parameter optimization (eps = 0.100000)

[00:32:56] [worker #0] ML tree search #9, logLikelihood: -34694.463870

[00:32:56 -87390.845421] Initial branch length optimization
[00:32:57 -69395.527724] Model parameter optimization (eps = 10.000000)
[00:33:11 -69176.237450] AUTODETECT spr round 1 (radius: 5)
[00:33:28 -54663.188795] AUTODETECT spr round 2 (radius: 10)
[00:33:52 -44409.084816] AUTODETECT spr round 3 (radius: 15)
[00:34:17 -40643.190236] AUTODETECT spr round 4 (radius: 20)
[00:34:48 -38668.466193] AUTODETECT spr round 5 (radius: 25)
[00:35:23 -38530.254467] SPR radius for FAST iterations: 25 (autodetect)
[00:35:23 -38530.254467] Model parameter optimization (eps = 3.000000)
[00:35:35 -38422.228384] FAST spr round 1 (radius: 25)
[00:36:04 -34948.143641] FAST spr round 2 (radius: 25)
[00:36:27 -34757.109399] FAST spr round 3 (radius: 25)
[00:36:46 -34728.972588] FAST spr round 4 (radius: 25)
[00:37:04 -34720.283359] FAST spr round 5 (radius: 25)
[00:37:15] [worker #3] ML tree search #12, logLikelihood: -34702.029920
[00:37:18 -34720.283033] Model parameter optimization (eps = 1.000000)
[00:37:23 -34718.985325] SLOW spr round 1 (radius: 5)
[00:37:51 -34710.297656] SLOW spr round 2 (radius: 5)
[00:38:16 -34710.297362] SLOW spr round 3 (radius: 10)
[00:38:41 -34699.564943] SLOW spr round 4 (radius: 5)
[00:39:16 -34699.563677] SLOW spr round 5 (radius: 10)
[00:39:45 -34699.522491] SLOW spr round 6 (radius: 15)
[00:40:28 -34699.264047] SLOW spr round 7 (radius: 5)
[00:41:07 -34698.330003] SLOW spr round 8 (radius: 5)
[00:41:35] [worker #1] ML tree search #14, logLikelihood: -34716.038428
[00:41:38 -34698.329243] SLOW spr round 9 (radius: 10)
[00:42:05 -34698.329230] SLOW spr round 10 (radius: 15)
[00:42:50 -34698.329229] SLOW spr round 11 (radius: 20)
[00:43:54 -34698.329229] SLOW spr round 12 (radius: 25)
[00:44:51 -34698.329228] Model parameter optimization (eps = 0.100000)

[00:44:54] [worker #0] ML tree search #13, logLikelihood: -34698.298567

[00:44:54 -87392.471430] Initial branch length optimization
[00:44:54 -69548.730395] Model parameter optimization (eps = 10.000000)
[00:45:21 -69317.823868] AUTODETECT spr round 1 (radius: 5)
[00:45:39 -53250.001433] AUTODETECT spr round 2 (radius: 10)
[00:46:02 -45036.221260] AUTODETECT spr round 3 (radius: 15)
[00:46:14] [worker #2] ML tree search #15, logLikelihood: -34720.079843
[00:46:33 -39017.486445] AUTODETECT spr round 4 (radius: 20)
[00:47:06 -38405.649059] AUTODETECT spr round 5 (radius: 25)
[00:47:37 -38248.082986] SPR radius for FAST iterations: 25 (autodetect)
[00:47:37 -38248.082986] Model parameter optimization (eps = 3.000000)
[00:47:47 -38155.516661] FAST spr round 1 (radius: 25)
[00:48:09 -35031.589843] FAST spr round 2 (radius: 25)
[00:48:27 -34750.634201] FAST spr round 3 (radius: 25)
[00:48:44 -34744.086898] FAST spr round 4 (radius: 25)
[00:49:00 -34742.324362] FAST spr round 5 (radius: 25)
[00:49:15 -34742.324273] Model parameter optimization (eps = 1.000000)
[00:49:20 -34740.710184] SLOW spr round 1 (radius: 5)
[00:49:48 -34725.445356] SLOW spr round 2 (radius: 5)
[00:50:15 -34725.014233] SLOW spr round 3 (radius: 5)
[00:50:41 -34723.989754] SLOW spr round 4 (radius: 5)
[00:51:06 -34723.988522] SLOW spr round 5 (radius: 10)
[00:51:32 -34722.956720] SLOW spr round 6 (radius: 5)
[00:52:09 -34722.099082] SLOW spr round 7 (radius: 5)
[00:52:40 -34721.945008] SLOW spr round 8 (radius: 5)
[00:53:08 -34721.944275] SLOW spr round 9 (radius: 10)
[00:53:29] [worker #1] ML tree search #18, logLikelihood: -34703.357687
[00:53:34 -34721.606103] SLOW spr round 10 (radius: 5)
[00:53:44] [worker #3] ML tree search #16, logLikelihood: -34705.266158
[00:54:09 -34721.606006] SLOW spr round 11 (radius: 10)
[00:54:39 -34721.606003] SLOW spr round 12 (radius: 15)
[00:55:19 -34721.606003] SLOW spr round 13 (radius: 20)
[00:56:12 -34721.606002] SLOW spr round 14 (radius: 25)
[00:56:27] [worker #2] ML tree search #19, logLikelihood: -34700.818111
[00:57:06 -34721.606002] Model parameter optimization (eps = 0.100000)

[00:57:09] [worker #0] ML tree search #17, logLikelihood: -34721.573926

[01:10:55] [worker #3] ML tree search #20, logLikelihood: -34707.088484

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.085808,0.205342) (0.221146,0.388039) (0.395597,0.933672) (0.297449,1.772437) 
   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: -34694.463870

AIC score: 70514.927741 / AICc score: 705578.927741 / BIC score: 72363.371440
Free parameters (model + branch lengths): 563

WARNING: Number of free parameters (K=563) is larger than alignment size (n=197).
         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/A6NFU8/3_mltree/A6NFU8.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/3_mltree/A6NFU8.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/3_mltree/A6NFU8.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A6NFU8/3_mltree/A6NFU8.raxml.log

Analysis started: 30-Jun-2021 20:23:56 / finished: 30-Jun-2021 21:34:51

Elapsed time: 4255.062 seconds