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 03:23:29 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/2_msa/A8MUX0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/3_mltree/A8MUX0 --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/A8MUX0/2_msa/A8MUX0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 702 taxa and 241 sites

WARNING: Sequences tr_G1QPJ1_G1QPJ1_NOMLE_61853 and tr_G1SB27_G1SB27_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_A0A2I3RYQ7_A0A2I3RYQ7_PANTR_9598 and tr_A0A2R9ACU5_A0A2R9ACU5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RGZ0_H2RGZ0_PANTR_9598 and tr_A0A2R8ZL57_A0A2R8ZL57_PANPA_9597 are exactly identical!
WARNING: Sequences sp_P0C7H8_KRA23_HUMAN_9606 and sp_Q9BYR9_KRA24_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_Q9BYU5_KRA21_HUMAN_9606 and tr_A0A2R8Z693_A0A2R8Z693_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_G8F6E0_G8F6E0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_A0A096N9X2_A0A096N9X2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_A0A0D9SCF2_A0A0D9SCF2_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_A0A2K5L1M7_A0A2K5L1M7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_A0A2K6AMA0_A0A2K6AMA0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6WQI1_F6WQI1_MACMU_9544 and tr_A0A2K5XD40_A0A2K5XD40_MANLE_9568 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/A8MUX0/3_mltree/A8MUX0.raxml.reduced.phy

Alignment comprises 1 partitions and 241 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 241 / 241
Gaps: 34.86 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/3_mltree/A8MUX0.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 702 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 241 / 19280
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -171523.025621] Initial branch length optimization
[00:00:03 -147219.119466] Model parameter optimization (eps = 10.000000)
[00:00:35 -145955.734885] AUTODETECT spr round 1 (radius: 5)
[00:02:07 -103569.888960] AUTODETECT spr round 2 (radius: 10)
[00:03:48 -79204.976208] AUTODETECT spr round 3 (radius: 15)
[00:05:52 -67837.402869] AUTODETECT spr round 4 (radius: 20)
[00:08:11 -65838.846625] AUTODETECT spr round 5 (radius: 25)
[00:10:57 -65665.359237] SPR radius for FAST iterations: 25 (autodetect)
[00:10:57 -65665.359237] Model parameter optimization (eps = 3.000000)
[00:11:27 -65147.088304] FAST spr round 1 (radius: 25)
[00:13:33 -59649.322528] FAST spr round 2 (radius: 25)
[00:15:08 -59003.522470] FAST spr round 3 (radius: 25)
[00:16:29 -58821.928298] FAST spr round 4 (radius: 25)
[00:17:45 -58795.369775] FAST spr round 5 (radius: 25)
[00:18:51 -58792.454757] FAST spr round 6 (radius: 25)
[00:19:52 -58792.454748] Model parameter optimization (eps = 1.000000)
[00:20:06 -58787.401547] SLOW spr round 1 (radius: 5)
[00:21:52 -58763.944661] SLOW spr round 2 (radius: 5)
[00:23:25 -58761.799319] SLOW spr round 3 (radius: 5)
[00:24:54 -58761.799226] SLOW spr round 4 (radius: 10)
[00:26:29 -58757.200473] SLOW spr round 5 (radius: 5)
[00:28:32 -58755.405331] SLOW spr round 6 (radius: 5)
[00:30:16 -58755.405275] SLOW spr round 7 (radius: 10)
[00:31:54 -58755.405274] SLOW spr round 8 (radius: 15)
[00:34:50 -58755.405274] SLOW spr round 9 (radius: 20)
[00:37:47] [worker #1] ML tree search #2, logLikelihood: -58763.319972
[00:38:41 -58755.405274] SLOW spr round 10 (radius: 25)
[00:43:47 -58755.405274] Model parameter optimization (eps = 0.100000)

[00:43:56] [worker #0] ML tree search #1, logLikelihood: -58755.217571

[00:43:57 -171010.436365] Initial branch length optimization
[00:44:00 -147394.790710] Model parameter optimization (eps = 10.000000)
[00:44:50 -146426.574304] AUTODETECT spr round 1 (radius: 5)
[00:45:02] [worker #3] ML tree search #4, logLikelihood: -58737.514241
[00:46:18 -105001.471729] AUTODETECT spr round 2 (radius: 10)
[00:48:05 -80278.516846] AUTODETECT spr round 3 (radius: 15)
[00:50:05 -70600.127999] AUTODETECT spr round 4 (radius: 20)
[00:52:21 -67698.208694] AUTODETECT spr round 5 (radius: 25)
[00:53:53] [worker #2] ML tree search #3, logLikelihood: -58710.213513
[00:55:10 -66718.213651] SPR radius for FAST iterations: 25 (autodetect)
[00:55:10 -66718.213651] Model parameter optimization (eps = 3.000000)
[00:55:41 -65948.746304] FAST spr round 1 (radius: 25)
[00:57:46 -59049.043180] FAST spr round 2 (radius: 25)
[00:59:21 -58810.579406] FAST spr round 3 (radius: 25)
[01:00:44 -58782.489242] FAST spr round 4 (radius: 25)
[01:01:54 -58780.421490] FAST spr round 5 (radius: 25)
[01:02:58 -58780.420987] Model parameter optimization (eps = 1.000000)
[01:03:14 -58765.204198] SLOW spr round 1 (radius: 5)
[01:04:56 -58733.519047] SLOW spr round 2 (radius: 5)
[01:06:39 -58726.716599] SLOW spr round 3 (radius: 5)
[01:08:09 -58726.585254] SLOW spr round 4 (radius: 5)
[01:09:38 -58726.584867] SLOW spr round 5 (radius: 10)
[01:11:11 -58723.671297] SLOW spr round 6 (radius: 5)
[01:13:14 -58723.375652] SLOW spr round 7 (radius: 5)
[01:14:58 -58723.375618] SLOW spr round 8 (radius: 10)
[01:16:37 -58723.019737] SLOW spr round 9 (radius: 5)
[01:18:35 -58723.019737] SLOW spr round 10 (radius: 10)
[01:20:19] [worker #4] ML tree search #5, logLikelihood: -58746.764325
[01:20:24 -58723.019737] SLOW spr round 11 (radius: 15)
[01:23:01 -58723.019737] SLOW spr round 12 (radius: 20)
[01:26:48 -58721.865132] SLOW spr round 13 (radius: 5)
[01:26:55] [worker #3] ML tree search #9, logLikelihood: -58793.819532
[01:29:01 -58719.495607] SLOW spr round 14 (radius: 5)
[01:30:52 -58719.493924] SLOW spr round 15 (radius: 10)
[01:32:34 -58719.206871] SLOW spr round 16 (radius: 5)
[01:34:33 -58719.206841] SLOW spr round 17 (radius: 10)
[01:36:21 -58719.206833] SLOW spr round 18 (radius: 15)
[01:38:58 -58719.206827] SLOW spr round 19 (radius: 20)
[01:39:14] [worker #2] ML tree search #8, logLikelihood: -58783.789701
[01:42:44 -58719.206821] SLOW spr round 20 (radius: 25)
[01:47:35 -58719.206816] Model parameter optimization (eps = 0.100000)

[01:47:48] [worker #0] ML tree search #6, logLikelihood: -58718.587275

[01:47:48 -170075.560124] Initial branch length optimization
[01:47:50 -146189.786148] Model parameter optimization (eps = 10.000000)
[01:48:18 -145194.076636] AUTODETECT spr round 1 (radius: 5)
[01:49:47 -103670.195344] AUTODETECT spr round 2 (radius: 10)
[01:51:35 -79150.226510] AUTODETECT spr round 3 (radius: 15)
[01:53:37 -68214.428408] AUTODETECT spr round 4 (radius: 20)
[01:53:47] [worker #1] ML tree search #7, logLikelihood: -58774.365693
[01:56:12 -65150.746193] AUTODETECT spr round 5 (radius: 25)
[01:58:54 -64956.821852] SPR radius for FAST iterations: 25 (autodetect)
[01:58:54 -64956.821852] Model parameter optimization (eps = 3.000000)
[01:59:22 -64127.956179] FAST spr round 1 (radius: 25)
[02:01:31 -59223.638129] FAST spr round 2 (radius: 25)
[02:03:06 -58839.127210] FAST spr round 3 (radius: 25)
[02:04:25 -58797.535951] FAST spr round 4 (radius: 25)
[02:05:33 -58796.392101] FAST spr round 5 (radius: 25)
[02:06:38 -58796.391774] Model parameter optimization (eps = 1.000000)
[02:06:50 -58784.329240] SLOW spr round 1 (radius: 5)
[02:08:34 -58760.568517] SLOW spr round 2 (radius: 5)
[02:10:16 -58748.081612] SLOW spr round 3 (radius: 5)
[02:11:51 -58746.695911] SLOW spr round 4 (radius: 5)
[02:13:20 -58746.695713] SLOW spr round 5 (radius: 10)
[02:14:55 -58733.425515] SLOW spr round 6 (radius: 5)
[02:16:59 -58732.780671] SLOW spr round 7 (radius: 5)
[02:18:45 -58732.780572] SLOW spr round 8 (radius: 10)
[02:20:23 -58727.516873] SLOW spr round 9 (radius: 5)
[02:22:27 -58726.082869] SLOW spr round 10 (radius: 5)
[02:24:11 -58726.082848] SLOW spr round 11 (radius: 10)
[02:24:14] [worker #4] ML tree search #10, logLikelihood: -58739.644937
[02:25:48 -58725.116913] SLOW spr round 12 (radius: 5)
[02:27:42] [worker #3] ML tree search #14, logLikelihood: -58735.668787
[02:27:53 -58720.838370] SLOW spr round 13 (radius: 5)
[02:29:40 -58718.848853] SLOW spr round 14 (radius: 5)
[02:31:16 -58718.848800] SLOW spr round 15 (radius: 10)
[02:32:51 -58718.336037] SLOW spr round 16 (radius: 5)
[02:34:53 -58716.292703] SLOW spr round 17 (radius: 5)
[02:36:38 -58716.292641] SLOW spr round 18 (radius: 10)
[02:38:15 -58716.292641] SLOW spr round 19 (radius: 15)
[02:41:04 -58715.936398] SLOW spr round 20 (radius: 5)
[02:43:05 -58715.936212] SLOW spr round 21 (radius: 10)
[02:44:50 -58715.936186] SLOW spr round 22 (radius: 15)
[02:47:12 -58715.936175] SLOW spr round 23 (radius: 20)
[02:50:31 -58715.936170] SLOW spr round 24 (radius: 25)
[02:54:45 -58713.063042] SLOW spr round 25 (radius: 5)
[02:56:44 -58712.545797] SLOW spr round 26 (radius: 5)
[02:57:58] [worker #1] ML tree search #12, logLikelihood: -58741.002168
[02:58:25 -58712.545790] SLOW spr round 27 (radius: 10)
[02:59:56 -58712.545790] SLOW spr round 28 (radius: 15)
[03:02:24 -58712.545790] SLOW spr round 29 (radius: 20)
[03:05:41 -58712.545790] SLOW spr round 30 (radius: 25)
[03:06:25] [worker #2] ML tree search #13, logLikelihood: -58733.512392
[03:08:30] [worker #4] ML tree search #15, logLikelihood: -58766.792669
[03:09:55 -58712.545790] Model parameter optimization (eps = 0.100000)

[03:10:06] [worker #0] ML tree search #11, logLikelihood: -58711.696740

[03:10:06 -170706.683437] Initial branch length optimization
[03:10:09 -147161.679342] Model parameter optimization (eps = 10.000000)
[03:11:00 -146061.482667] AUTODETECT spr round 1 (radius: 5)
[03:12:23 -104353.488534] AUTODETECT spr round 2 (radius: 10)
[03:13:57 -77672.700935] AUTODETECT spr round 3 (radius: 15)
[03:15:55 -67375.752125] AUTODETECT spr round 4 (radius: 20)
[03:18:20 -65396.883009] AUTODETECT spr round 5 (radius: 25)
[03:20:43] [worker #3] ML tree search #19, logLikelihood: -58733.111945
[03:20:58 -65124.361796] SPR radius for FAST iterations: 25 (autodetect)
[03:20:58 -65124.361796] Model parameter optimization (eps = 3.000000)
[03:21:16 -64576.383078] FAST spr round 1 (radius: 25)
[03:23:13 -59286.833613] FAST spr round 2 (radius: 25)
[03:24:40 -58920.630284] FAST spr round 3 (radius: 25)
[03:25:54 -58829.647768] FAST spr round 4 (radius: 25)
[03:27:00 -58820.930325] FAST spr round 5 (radius: 25)
[03:27:58 -58820.926827] Model parameter optimization (eps = 1.000000)
[03:28:10 -58813.442466] SLOW spr round 1 (radius: 5)
[03:29:40 -58800.236691] SLOW spr round 2 (radius: 5)
[03:31:07 -58793.242247] SLOW spr round 3 (radius: 5)
[03:32:31 -58788.658064] SLOW spr round 4 (radius: 5)
[03:33:54 -58785.256733] SLOW spr round 5 (radius: 5)
[03:35:16 -58782.369218] SLOW spr round 6 (radius: 5)
[03:36:37 -58781.628469] SLOW spr round 7 (radius: 5)
[03:37:54 -58781.628421] SLOW spr round 8 (radius: 10)
[03:39:19 -58767.667163] SLOW spr round 9 (radius: 5)
[03:41:13 -58757.877170] SLOW spr round 10 (radius: 5)
[03:42:48 -58757.801080] SLOW spr round 11 (radius: 10)
[03:44:17 -58753.475579] SLOW spr round 12 (radius: 5)
[03:45:49] [worker #4] ML tree search #20, logLikelihood: -58752.243463
[03:46:06 -58753.475511] SLOW spr round 13 (radius: 10)
[03:47:41 -58751.999439] SLOW spr round 14 (radius: 5)
[03:49:29 -58744.966643] SLOW spr round 15 (radius: 5)
[03:51:02 -58743.770701] SLOW spr round 16 (radius: 5)
[03:52:27 -58743.770693] SLOW spr round 17 (radius: 10)
[03:53:51 -58741.239823] SLOW spr round 18 (radius: 5)
[03:55:40 -58740.223610] SLOW spr round 19 (radius: 5)
[03:55:57] [worker #2] ML tree search #18, logLikelihood: -58773.050789
[03:57:13 -58740.223101] SLOW spr round 20 (radius: 10)
[03:58:39 -58740.121160] SLOW spr round 21 (radius: 5)
[04:00:26 -58740.121009] SLOW spr round 22 (radius: 10)
[04:02:01 -58740.120997] SLOW spr round 23 (radius: 15)
[04:04:18 -58738.316634] SLOW spr round 24 (radius: 5)
[04:06:10 -58738.316503] SLOW spr round 25 (radius: 10)
[04:07:54 -58737.565060] SLOW spr round 26 (radius: 5)
[04:09:38 -58737.565039] SLOW spr round 27 (radius: 10)
[04:11:12 -58737.565038] SLOW spr round 28 (radius: 15)
[04:13:29 -58737.349168] SLOW spr round 29 (radius: 5)
[04:15:22 -58736.570862] SLOW spr round 30 (radius: 5)
[04:16:58 -58736.568984] SLOW spr round 31 (radius: 10)
[04:18:27 -58736.568891] SLOW spr round 32 (radius: 15)
[04:19:45] [worker #1] ML tree search #17, logLikelihood: -58713.229086
[04:20:48 -58736.568885] SLOW spr round 33 (radius: 20)
[04:23:48 -58735.119970] SLOW spr round 34 (radius: 5)
[04:25:45 -58733.894706] SLOW spr round 35 (radius: 5)
[04:27:22 -58733.892720] SLOW spr round 36 (radius: 10)
[04:28:51 -58733.892555] SLOW spr round 37 (radius: 15)
[04:31:11 -58733.892546] SLOW spr round 38 (radius: 20)
[04:34:11 -58733.892544] SLOW spr round 39 (radius: 25)
[04:38:03 -58733.892542] Model parameter optimization (eps = 0.100000)

[04:38:14] [worker #0] ML tree search #16, logLikelihood: -58726.640281


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.466353,0.767009) (0.028663,0.937330) (0.195335,1.418022) (0.309649,1.093002) 
   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: -58710.213513

AIC score: 120234.427026 / AICc score: 4082346.427026 / BIC score: 125137.536311
Free parameters (model + branch lengths): 1407

WARNING: Number of free parameters (K=1407) is larger than alignment size (n=241).
         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/A8MUX0/3_mltree/A8MUX0.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/3_mltree/A8MUX0.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/3_mltree/A8MUX0.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUX0/3_mltree/A8MUX0.raxml.log

Analysis started: 04-Jul-2021 03:23:29 / finished: 04-Jul-2021 08:01:43

Elapsed time: 16694.156 seconds

Consumed energy: 1384.123 Wh (= 7 km in an electric car, or 35 km with an e-scooter!)