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 18-Jun-2021 15:19:55 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/2_msa/Q9UHC1_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1 --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_040621/phylogeny-snakemake/results/Q9UHC1/2_msa/Q9UHC1_trimmed_msa.fasta
[00:00:00] Loaded alignment with 683 taxa and 306 sites

WARNING: Sequences tr_B6Q260_B6Q260_TALMQ_441960 and tr_A0A093VMZ2_A0A093VMZ2_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_C0NSM0_C0NSM0_AJECG_447093 and tr_C6HE03_C6HE03_AJECH_544712 are exactly identical!
WARNING: Sequences tr_C0NSM0_C0NSM0_AJECG_447093 and tr_F0UUN7_F0UUN7_AJEC8_544711 are exactly identical!
WARNING: Sequences tr_B8PL81_B8PL81_POSPM_561896 and tr_A0A1X6MST0_A0A1X6MST0_9APHY_670580 are exactly identical!
WARNING: Sequences tr_A0A179UIW9_A0A179UIW9_BLAGS_559298 and tr_C5GT35_C5GT35_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_A0A2I3SJ25_A0A2I3SJ25_PANTR_9598 and sp_Q9UHC1_MLH3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0D2XJT8_A0A0D2XJT8_FUSO4_426428 and tr_A0A2H3HHZ6_A0A2H3HHZ6_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_A0A096NS46_A0A096NS46_PAPAN_9555 and tr_A0A2K6C0T5_A0A2K6C0T5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096NS46_A0A096NS46_PAPAN_9555 and tr_A0A2K5XG71_A0A2K5XG71_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A094DX00_A0A094DX00_9PEZI_1420912 and tr_A0A1B8GCR8_A0A1B8GCR8_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A094DX00_A0A094DX00_9PEZI_1420912 and tr_A0A1B8CFP0_A0A1B8CFP0_9PEZI_1622147 are exactly identical!
WARNING: Sequences tr_A0A1S4D3R6_A0A1S4D3R6_TOBAC_4097 and tr_A0A1U7WJH5_A0A1U7WJH5_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A2D0SIY0_A0A2D0SIY0_ICTPU_7998 and tr_A0A2D0SK31_A0A2D0SK31_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2I1FYH2_A0A2I1FYH2_9GLOM_588596 and tr_U9T3D1_U9T3D1_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A2U3V4G4_A0A2U3V4G4_TURTR_9739 and tr_A0A2U4A6B9_A0A2U4A6B9_TURTR_9739 are exactly identical!
WARNING: Duplicate sequences found: 15

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.raxml.reduced.phy

Alignment comprises 1 partitions and 306 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 306 / 306
Gaps: 18.11 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.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 683 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 306 / 24480
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -370814.659862] Initial branch length optimization
[00:00:06 -310467.347934] Model parameter optimization (eps = 10.000000)
[00:00:44 -309708.117904] AUTODETECT spr round 1 (radius: 5)
[00:02:52 -241893.362244] AUTODETECT spr round 2 (radius: 10)
[00:05:17 -196351.279635] AUTODETECT spr round 3 (radius: 15)
[00:07:58 -178754.312222] AUTODETECT spr round 4 (radius: 20)
[00:11:33 -166721.352630] AUTODETECT spr round 5 (radius: 25)
[00:15:41 -165747.267472] SPR radius for FAST iterations: 25 (autodetect)
[00:15:41 -165747.267472] Model parameter optimization (eps = 3.000000)
[00:16:17 -165658.908579] FAST spr round 1 (radius: 25)
[00:20:19 -151751.851481] FAST spr round 2 (radius: 25)
[00:23:06 -151211.145163] FAST spr round 3 (radius: 25)
[00:25:24 -151158.957500] FAST spr round 4 (radius: 25)
[00:27:23 -151151.224150] FAST spr round 5 (radius: 25)
[00:29:06 -151151.223973] Model parameter optimization (eps = 1.000000)
[00:29:23 -151145.771937] SLOW spr round 1 (radius: 5)
[00:31:56 -151124.508649] SLOW spr round 2 (radius: 5)
[00:34:19 -151123.925427] SLOW spr round 3 (radius: 5)
[00:36:40 -151123.923310] SLOW spr round 4 (radius: 10)
[00:39:13 -151123.499686] SLOW spr round 5 (radius: 5)
[00:42:12 -151123.265932] SLOW spr round 6 (radius: 5)
[00:44:49 -151123.265099] SLOW spr round 7 (radius: 10)
[00:47:29 -151123.264905] SLOW spr round 8 (radius: 15)
[00:51:39 -151123.264826] SLOW spr round 9 (radius: 20)
[00:57:25 -151122.739700] SLOW spr round 10 (radius: 5)
[01:00:36 -151122.736634] SLOW spr round 11 (radius: 10)
[01:03:47 -151122.735686] SLOW spr round 12 (radius: 15)
[01:07:49 -151122.735373] SLOW spr round 13 (radius: 20)
[01:10:15] [worker #1] ML tree search #2, logLikelihood: -151130.102755
[01:13:35 -151122.735263] SLOW spr round 14 (radius: 25)
[01:20:40 -151122.735221] Model parameter optimization (eps = 0.100000)

[01:20:46] [worker #0] ML tree search #1, logLikelihood: -151122.654168

[01:20:47 -370827.632970] Initial branch length optimization
[01:20:53 -309924.872709] Model parameter optimization (eps = 10.000000)
[01:21:34 -309201.110532] AUTODETECT spr round 1 (radius: 5)
[01:23:42 -239457.171268] AUTODETECT spr round 2 (radius: 10)
[01:26:05 -198395.031456] AUTODETECT spr round 3 (radius: 15)
[01:28:57 -169751.334639] AUTODETECT spr round 4 (radius: 20)
[01:30:35] [worker #3] ML tree search #4, logLikelihood: -151141.175173
[01:32:44 -165046.166463] AUTODETECT spr round 5 (radius: 25)
[01:38:09 -164675.568328] SPR radius for FAST iterations: 25 (autodetect)
[01:38:09 -164675.568328] Model parameter optimization (eps = 3.000000)
[01:38:39 -164551.254313] FAST spr round 1 (radius: 25)
[01:41:28] [worker #2] ML tree search #3, logLikelihood: -151105.657417
[01:42:32] [worker #4] ML tree search #5, logLikelihood: -151139.452093
[01:42:45 -152025.987659] FAST spr round 2 (radius: 25)
[01:45:42 -151236.685866] FAST spr round 3 (radius: 25)
[01:48:07 -151186.213597] FAST spr round 4 (radius: 25)
[01:50:11 -151162.680240] FAST spr round 5 (radius: 25)
[01:51:59 -151155.570317] FAST spr round 6 (radius: 25)
[01:53:41 -151154.217279] FAST spr round 7 (radius: 25)
[01:55:20 -151154.215764] Model parameter optimization (eps = 1.000000)
[01:55:36 -151152.846124] SLOW spr round 1 (radius: 5)
[01:58:08 -151125.753123] SLOW spr round 2 (radius: 5)
[02:00:31 -151125.394479] SLOW spr round 3 (radius: 5)
[02:02:52 -151125.393467] SLOW spr round 4 (radius: 10)
[02:05:31 -151123.633064] SLOW spr round 5 (radius: 5)
[02:08:29 -151123.628937] SLOW spr round 6 (radius: 10)
[02:11:30 -151122.986654] SLOW spr round 7 (radius: 5)
[02:14:24 -151122.962427] SLOW spr round 8 (radius: 10)
[02:17:20 -151122.960103] SLOW spr round 9 (radius: 15)
[02:21:30 -151122.875388] SLOW spr round 10 (radius: 20)
[02:27:35 -151122.837485] SLOW spr round 11 (radius: 25)
[02:35:00 -151122.825275] Model parameter optimization (eps = 0.100000)

[02:35:07] [worker #0] ML tree search #6, logLikelihood: -151122.760294

[02:35:07 -372225.167157] Initial branch length optimization
[02:35:13 -312922.514689] Model parameter optimization (eps = 10.000000)
[02:35:53 -312265.831421] AUTODETECT spr round 1 (radius: 5)
[02:37:59 -239361.615442] AUTODETECT spr round 2 (radius: 10)
[02:40:19 -196465.642544] AUTODETECT spr round 3 (radius: 15)
[02:43:06 -175096.134429] AUTODETECT spr round 4 (radius: 20)
[02:46:41 -169221.875057] AUTODETECT spr round 5 (radius: 25)
[02:50:56 -168179.670610] SPR radius for FAST iterations: 25 (autodetect)
[02:50:56 -168179.670610] Model parameter optimization (eps = 3.000000)
[02:51:24 -168038.944245] FAST spr round 1 (radius: 25)
[02:54:12] [worker #2] ML tree search #8, logLikelihood: -151138.036489
[02:55:25 -152005.110120] FAST spr round 2 (radius: 25)
[02:55:46] [worker #1] ML tree search #7, logLikelihood: -151109.604003
[02:58:16 -151245.533749] FAST spr round 3 (radius: 25)
[03:00:40 -151176.312163] FAST spr round 4 (radius: 25)
[03:02:39 -151160.315855] FAST spr round 5 (radius: 25)
[03:04:27 -151152.694267] FAST spr round 6 (radius: 25)
[03:06:08 -151151.420200] FAST spr round 7 (radius: 25)
[03:07:46 -151151.419928] Model parameter optimization (eps = 1.000000)
[03:08:03 -151149.227151] SLOW spr round 1 (radius: 5)
[03:09:25] [worker #3] ML tree search #9, logLikelihood: -151110.864349
[03:10:33 -151124.822275] SLOW spr round 2 (radius: 5)
[03:12:55 -151123.884409] SLOW spr round 3 (radius: 5)
[03:15:17 -151123.882300] SLOW spr round 4 (radius: 10)
[03:17:48 -151123.236067] SLOW spr round 5 (radius: 5)
[03:20:48 -151123.235885] SLOW spr round 6 (radius: 10)
[03:23:41 -151123.235802] SLOW spr round 7 (radius: 15)
[03:27:38 -151123.235782] SLOW spr round 8 (radius: 20)
[03:33:17 -151123.235772] SLOW spr round 9 (radius: 25)
[03:40:51 -151121.523764] SLOW spr round 10 (radius: 5)
[03:44:07 -151120.989972] SLOW spr round 11 (radius: 5)
[03:46:54 -151120.964243] SLOW spr round 12 (radius: 10)
[03:49:39 -151118.870215] SLOW spr round 13 (radius: 5)
[03:52:35 -151118.870206] SLOW spr round 14 (radius: 10)
[03:55:26 -151118.870201] SLOW spr round 15 (radius: 15)
[03:56:28] [worker #2] ML tree search #13, logLikelihood: -151126.691351
[03:59:23 -151118.870196] SLOW spr round 16 (radius: 20)
[04:04:59 -151118.870192] SLOW spr round 17 (radius: 25)
[04:12:32 -151118.870188] Model parameter optimization (eps = 0.100000)

[04:12:45] [worker #0] ML tree search #11, logLikelihood: -151118.627030

[04:12:46 -372618.514686] Initial branch length optimization
[04:12:51 -312541.188806] Model parameter optimization (eps = 10.000000)
[04:13:16] [worker #3] ML tree search #14, logLikelihood: -151114.544454
[04:13:45 -311933.552502] AUTODETECT spr round 1 (radius: 5)
[04:15:56 -244029.380714] AUTODETECT spr round 2 (radius: 10)
[04:18:22 -194524.121879] AUTODETECT spr round 3 (radius: 15)
[04:20:58 -180993.359602] AUTODETECT spr round 4 (radius: 20)
[04:24:42 -170387.494442] AUTODETECT spr round 5 (radius: 25)
[04:27:37] [worker #1] ML tree search #12, logLikelihood: -151124.641952
[04:28:53 -167402.577356] SPR radius for FAST iterations: 25 (autodetect)
[04:28:53 -167402.577356] Model parameter optimization (eps = 3.000000)
[04:29:32 -167291.112115] FAST spr round 1 (radius: 25)
[04:29:43] [worker #4] ML tree search #10, logLikelihood: -151138.902207
[04:33:39 -151948.230822] FAST spr round 2 (radius: 25)
[04:36:36 -151269.654625] FAST spr round 3 (radius: 25)
[04:38:49 -151219.929186] FAST spr round 4 (radius: 25)
[04:40:54 -151199.406435] FAST spr round 5 (radius: 25)
[04:42:40 -151189.848900] FAST spr round 6 (radius: 25)
[04:44:20 -151188.585992] FAST spr round 7 (radius: 25)
[04:45:58 -151188.584959] Model parameter optimization (eps = 1.000000)
[04:46:22 -151186.083426] SLOW spr round 1 (radius: 5)
[04:48:47 -151152.490504] SLOW spr round 2 (radius: 5)
[04:51:16 -151142.978435] SLOW spr round 3 (radius: 5)
[04:53:43 -151136.613091] SLOW spr round 4 (radius: 5)
[04:56:04 -151136.610212] SLOW spr round 5 (radius: 10)
[04:58:35 -151135.975705] SLOW spr round 6 (radius: 5)
[05:01:35 -151135.975219] SLOW spr round 7 (radius: 10)
[05:04:27 -151135.975013] SLOW spr round 8 (radius: 15)
[05:08:30 -151132.548463] SLOW spr round 9 (radius: 5)
[05:09:01] [worker #2] ML tree search #18, logLikelihood: -151125.474315
[05:11:39 -151132.541415] SLOW spr round 10 (radius: 10)
[05:14:41 -151132.540840] SLOW spr round 11 (radius: 15)
[05:18:42 -151132.540778] SLOW spr round 12 (radius: 20)
[05:24:54 -151132.540766] SLOW spr round 13 (radius: 25)
[05:32:40 -151126.822820] SLOW spr round 14 (radius: 5)
[05:35:57 -151126.786971] SLOW spr round 15 (radius: 10)
[05:39:14 -151126.783503] SLOW spr round 16 (radius: 15)
[05:43:19 -151126.782031] SLOW spr round 17 (radius: 20)
[05:48:56] [worker #3] ML tree search #19, logLikelihood: -151120.470191
[05:49:33 -151126.781362] SLOW spr round 18 (radius: 25)
[05:57:17 -151126.781034] Model parameter optimization (eps = 0.100000)
[05:57:19] [worker #1] ML tree search #17, logLikelihood: -151123.302257

[05:57:37] [worker #0] ML tree search #16, logLikelihood: -151125.733054

[06:26:44] [worker #4] ML tree search #15, logLikelihood: -151122.809543
[07:47:21] [worker #4] ML tree search #20, logLikelihood: -151122.828362

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.130842,0.442676) (0.259618,0.554389) (0.395242,0.986055) (0.214297,1.905853) 
   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: -151105.657417

AIC score: 304949.314834 / AICc score: 4056009.314834 / BIC score: 310046.902839
Free parameters (model + branch lengths): 1369

WARNING: Number of free parameters (K=1369) is larger than alignment size (n=306).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9UHC1/3_mltree/Q9UHC1.raxml.log

Analysis started: 18-Jun-2021 15:19:55 / finished: 18-Jun-2021 23:07:16

Elapsed time: 28041.351 seconds