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 12-Jul-2021 07:18:20 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/2_msa/Q8N6C5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5 --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_300621/phylogeny-snakemake/results/Q8N6C5/2_msa/Q8N6C5_trimmed_msa.fasta
[00:00:00] Loaded alignment with 888 taxa and 228 sites

WARNING: Sequences tr_A0A1D5NUL0_A0A1D5NUL0_CHICK_9031 and tr_A0A1D5PCH5_A0A1D5PCH5_CHICK_9031 are exactly identical!
WARNING: Sequences tr_G3R0A3_G3R0A3_GORGO_9595 and tr_H2QZ42_H2QZ42_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R0A3_G3R0A3_GORGO_9595 and tr_A0A2R9BVL8_A0A2R9BVL8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SRG0_A0A2I3SRG0_PANTR_9598 and tr_A0A2R9C309_A0A2R9C309_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q731_H2Q731_PANTR_9598 and tr_Q1AJL3_Q1AJL3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A0G2JLQ3_A0A0G2JLQ3_HUMAN_9606 and tr_A0A0G2JNG1_A0A0G2JNG1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0G2JLQ3_A0A0G2JLQ3_HUMAN_9606 and sp_Q14953_KI2S5_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0G2JNF4_A0A0G2JNF4_HUMAN_9606 and sp_P43628_KI2L3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0G2JPC4_A0A0G2JPC4_HUMAN_9606 and tr_B0L653_B0L653_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0G2JPC4_A0A0G2JPC4_HUMAN_9606 and sp_Q8N109_KI2LA_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0G2JPC4_A0A0G2JPC4_HUMAN_9606 and sp_Q8NHK3_KI2LB_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A1W2PQM1_A0A1W2PQM1_HUMAN_9606 and sp_P43632_KI2S4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F6TRX2_F6TRX2_MACMU_9544 and tr_A0A096NPT8_A0A096NPT8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6TRX2_F6TRX2_MACMU_9544 and tr_A0A0D9R682_A0A0D9R682_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6TRX2_F6TRX2_MACMU_9544 and tr_A0A2K5NHP1_A0A2K5NHP1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6TRX2_F6TRX2_MACMU_9544 and tr_A0A2K5Z317_A0A2K5Z317_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 16

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/Q8N6C5/3_mltree/Q8N6C5.raxml.reduced.phy

Alignment comprises 1 partitions and 228 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 228 / 228
Gaps: 18.98 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.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 888 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 228 / 18240
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -338080.336447] Initial branch length optimization
[00:00:05 -291378.754066] Model parameter optimization (eps = 10.000000)
[00:01:01 -290127.401135] AUTODETECT spr round 1 (radius: 5)
[00:03:50 -227162.050452] AUTODETECT spr round 2 (radius: 10)
[00:07:02 -166053.925111] AUTODETECT spr round 3 (radius: 15)
[00:10:37 -141755.825572] AUTODETECT spr round 4 (radius: 20)
[00:15:13 -134978.351800] AUTODETECT spr round 5 (radius: 25)
[00:20:47 -132309.759828] SPR radius for FAST iterations: 25 (autodetect)
[00:20:48 -132309.759828] Model parameter optimization (eps = 3.000000)
[00:21:16 -132172.390730] FAST spr round 1 (radius: 25)
[00:25:01 -118425.452927] FAST spr round 2 (radius: 25)
[00:27:54 -117532.741884] FAST spr round 3 (radius: 25)
[00:30:27 -116798.994744] FAST spr round 4 (radius: 25)
[00:32:45 -116771.411184] FAST spr round 5 (radius: 25)
[00:34:53 -116763.794759] FAST spr round 6 (radius: 25)
[00:36:55 -116760.944226] FAST spr round 7 (radius: 25)
[00:38:54 -116760.944123] Model parameter optimization (eps = 1.000000)
[00:39:16 -116749.856358] SLOW spr round 1 (radius: 5)
[00:42:04 -116723.745858] SLOW spr round 2 (radius: 5)
[00:44:49 -116720.295317] SLOW spr round 3 (radius: 5)
[00:47:32 -116715.226220] SLOW spr round 4 (radius: 5)
[00:50:15 -116711.863006] SLOW spr round 5 (radius: 5)
[00:52:53 -116711.442653] SLOW spr round 6 (radius: 5)
[00:55:30 -116711.442229] SLOW spr round 7 (radius: 10)
[00:58:15 -116710.796279] SLOW spr round 8 (radius: 5)
[01:01:37 -116710.789704] SLOW spr round 9 (radius: 10)
[01:04:42 -116710.789704] SLOW spr round 10 (radius: 15)
[01:09:24 -116710.789704] SLOW spr round 11 (radius: 20)
[01:17:18 -116710.789704] SLOW spr round 12 (radius: 25)
[01:26:25] [worker #4] ML tree search #5, logLikelihood: -116783.799346
[01:28:13 -116710.789704] Model parameter optimization (eps = 0.100000)

[01:28:23] [worker #0] ML tree search #1, logLikelihood: -116710.742147

[01:28:23 -338771.994841] Initial branch length optimization
[01:28:30 -291403.114648] Model parameter optimization (eps = 10.000000)
[01:29:29 -290274.427656] AUTODETECT spr round 1 (radius: 5)
[01:30:53] [worker #3] ML tree search #4, logLikelihood: -116703.209891
[01:32:19 -233027.881151] AUTODETECT spr round 2 (radius: 10)
[01:35:34 -167359.103520] AUTODETECT spr round 3 (radius: 15)
[01:39:09 -141485.663611] AUTODETECT spr round 4 (radius: 20)
[01:43:20 -131620.358604] AUTODETECT spr round 5 (radius: 25)
[01:47:19] [worker #1] ML tree search #2, logLikelihood: -116793.111562
[01:49:03 -130752.137914] SPR radius for FAST iterations: 25 (autodetect)
[01:49:04 -130752.137914] Model parameter optimization (eps = 3.000000)
[01:49:41 -130562.830720] FAST spr round 1 (radius: 25)
[01:50:53] [worker #2] ML tree search #3, logLikelihood: -116770.451669
[01:53:30 -117546.063540] FAST spr round 2 (radius: 25)
[01:56:14 -116909.251763] FAST spr round 3 (radius: 25)
[01:58:40 -116837.339834] FAST spr round 4 (radius: 25)
[02:00:55 -116815.728639] FAST spr round 5 (radius: 25)
[02:03:02 -116804.944184] FAST spr round 6 (radius: 25)
[02:05:03 -116803.470349] FAST spr round 7 (radius: 25)
[02:07:02 -116803.470250] Model parameter optimization (eps = 1.000000)
[02:07:21 -116797.710844] SLOW spr round 1 (radius: 5)
[02:10:10 -116768.813776] SLOW spr round 2 (radius: 5)
[02:12:57 -116765.550477] SLOW spr round 3 (radius: 5)
[02:15:36 -116765.549878] SLOW spr round 4 (radius: 10)
[02:18:22 -116765.450787] SLOW spr round 5 (radius: 15)
[02:23:31 -116764.938554] SLOW spr round 6 (radius: 5)
[02:27:01 -116764.936816] SLOW spr round 7 (radius: 10)
[02:30:15 -116764.936355] SLOW spr round 8 (radius: 15)
[02:35:00 -116764.936231] SLOW spr round 9 (radius: 20)
[02:43:09 -116764.377887] SLOW spr round 10 (radius: 5)
[02:46:43 -116763.670029] SLOW spr round 11 (radius: 5)
[02:47:18] [worker #4] ML tree search #10, logLikelihood: -116759.572505
[02:49:49 -116763.669997] SLOW spr round 12 (radius: 10)
[02:49:49] [worker #3] ML tree search #9, logLikelihood: -116680.154859
[02:52:46 -116763.669997] SLOW spr round 13 (radius: 15)
[02:57:42 -116763.669997] SLOW spr round 14 (radius: 20)
[03:05:50 -116763.669997] SLOW spr round 15 (radius: 25)
[03:17:06 -116763.669997] Model parameter optimization (eps = 0.100000)

[03:17:13] [worker #0] ML tree search #6, logLikelihood: -116763.617779

[03:17:13 -339181.169851] Initial branch length optimization
[03:17:18 -291787.663002] Model parameter optimization (eps = 10.000000)
[03:18:06 -290512.766523] AUTODETECT spr round 1 (radius: 5)
[03:20:58 -228582.369938] AUTODETECT spr round 2 (radius: 10)
[03:22:53] [worker #1] ML tree search #7, logLikelihood: -116685.826874
[03:24:07 -171943.184291] AUTODETECT spr round 3 (radius: 15)
[03:27:43 -142091.192972] AUTODETECT spr round 4 (radius: 20)
[03:32:21 -133535.535991] AUTODETECT spr round 5 (radius: 25)
[03:38:37 -132339.608058] SPR radius for FAST iterations: 25 (autodetect)
[03:38:37 -132339.608058] Model parameter optimization (eps = 3.000000)
[03:39:16 -132219.710555] FAST spr round 1 (radius: 25)
[03:43:17 -117555.916233] FAST spr round 2 (radius: 25)
[03:46:09 -116881.257844] FAST spr round 3 (radius: 25)
[03:48:43 -116774.816083] FAST spr round 4 (radius: 25)
[03:50:58 -116758.938001] FAST spr round 5 (radius: 25)
[03:53:00 -116758.626504] FAST spr round 6 (radius: 25)
[03:54:59 -116758.625753] Model parameter optimization (eps = 1.000000)
[03:55:13 -116756.984021] SLOW spr round 1 (radius: 5)
[03:58:07 -116717.607808] SLOW spr round 2 (radius: 5)
[03:58:56] [worker #2] ML tree search #8, logLikelihood: -116783.625939
[04:00:49 -116715.150012] SLOW spr round 3 (radius: 5)
[04:03:30 -116715.023199] SLOW spr round 4 (radius: 5)
[04:06:09 -116715.022793] SLOW spr round 5 (radius: 10)
[04:08:54] [worker #4] ML tree search #15, logLikelihood: -116733.210158
[04:09:01 -116710.420380] SLOW spr round 6 (radius: 5)
[04:11:19] [worker #3] ML tree search #14, logLikelihood: -116681.499885
[04:12:29 -116705.151392] SLOW spr round 7 (radius: 5)
[04:15:29 -116705.109738] SLOW spr round 8 (radius: 10)
[04:18:27 -116704.024451] SLOW spr round 9 (radius: 5)
[04:21:54 -116699.781075] SLOW spr round 10 (radius: 5)
[04:24:54 -116695.273518] SLOW spr round 11 (radius: 5)
[04:27:41 -116695.273132] SLOW spr round 12 (radius: 10)
[04:30:31 -116694.992405] SLOW spr round 13 (radius: 5)
[04:33:54 -116694.960136] SLOW spr round 14 (radius: 10)
[04:37:04 -116694.813494] SLOW spr round 15 (radius: 5)
[04:40:30 -116688.533246] SLOW spr round 16 (radius: 5)
[04:43:30 -116687.179946] SLOW spr round 17 (radius: 5)
[04:46:15 -116687.179711] SLOW spr round 18 (radius: 10)
[04:49:05 -116687.179704] SLOW spr round 19 (radius: 15)
[04:52:00] [worker #1] ML tree search #12, logLikelihood: -116708.990486
[04:54:15 -116687.179703] SLOW spr round 20 (radius: 20)
[05:02:15 -116687.179703] SLOW spr round 21 (radius: 25)
[05:12:49 -116687.179703] Model parameter optimization (eps = 0.100000)

[05:13:06] [worker #0] ML tree search #11, logLikelihood: -116687.064386

[05:13:06 -337345.521666] Initial branch length optimization
[05:13:10 -290809.900657] Model parameter optimization (eps = 10.000000)
[05:14:02 -289597.218677] AUTODETECT spr round 1 (radius: 5)
[05:16:52 -231773.146944] AUTODETECT spr round 2 (radius: 10)
[05:20:08 -168168.985055] AUTODETECT spr round 3 (radius: 15)
[05:23:46 -141973.436298] AUTODETECT spr round 4 (radius: 20)
[05:28:03 -132846.739576] AUTODETECT spr round 5 (radius: 25)
[05:33:53 -130652.075413] SPR radius for FAST iterations: 25 (autodetect)
[05:33:53 -130652.075413] Model parameter optimization (eps = 3.000000)
[05:34:27 -130526.531331] FAST spr round 1 (radius: 25)
[05:38:26 -117442.846212] FAST spr round 2 (radius: 25)
[05:41:22 -116882.757743] FAST spr round 3 (radius: 25)
[05:43:55 -116816.263172] FAST spr round 4 (radius: 25)
[05:46:15 -116807.267913] FAST spr round 5 (radius: 25)
[05:48:24 -116796.442491] FAST spr round 6 (radius: 25)
[05:50:25 -116794.979888] FAST spr round 7 (radius: 25)
[05:52:24 -116794.632453] FAST spr round 8 (radius: 25)
[05:54:21 -116794.631122] Model parameter optimization (eps = 1.000000)
[05:54:32 -116793.632721] SLOW spr round 1 (radius: 5)
[05:57:19 -116754.953395] SLOW spr round 2 (radius: 5)
[05:58:45] [worker #2] ML tree search #13, logLikelihood: -116770.827021
[06:00:04 -116745.349463] SLOW spr round 3 (radius: 5)
[06:02:43 -116744.518929] SLOW spr round 4 (radius: 5)
[06:05:18 -116744.518850] SLOW spr round 5 (radius: 10)
[06:06:24] [worker #3] ML tree search #19, logLikelihood: -116686.851424
[06:08:03 -116744.518773] SLOW spr round 6 (radius: 15)
[06:13:21 -116744.518696] SLOW spr round 7 (radius: 20)
[06:21:12 -116744.518619] SLOW spr round 8 (radius: 25)
[06:31:55 -116744.518541] Model parameter optimization (eps = 0.100000)

[06:32:02] [worker #0] ML tree search #16, logLikelihood: -116744.475426

[06:41:59] [worker #4] ML tree search #20, logLikelihood: -116712.832888
[06:44:32] [worker #1] ML tree search #17, logLikelihood: -116752.423858
[07:48:45] [worker #2] ML tree search #18, logLikelihood: -116781.437605

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.057659,0.183951) (0.108951,0.266028) (0.419560,0.816543) (0.413830,1.492933) 
   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: -116680.154859

AIC score: 236918.309718 / AICc score: 6570158.309718 / BIC score: 243019.115592
Free parameters (model + branch lengths): 1779

WARNING: Number of free parameters (K=1779) is larger than alignment size (n=228).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 57 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N6C5/3_mltree/Q8N6C5.raxml.log

Analysis started: 12-Jul-2021 07:18:20 / finished: 12-Jul-2021 15:07:06

Elapsed time: 28125.508 seconds