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 06-Jul-2021 16:53:49 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/2_msa/P16410_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/3_mltree/P16410 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/2_msa/P16410_trimmed_msa.fasta
[00:00:00] Loaded alignment with 150 taxa and 185 sites

WARNING: Sequences tr_G1R5Y1_G1R5Y1_NOMLE_61853 and tr_H2P8D3_H2P8D3_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2Y8P2_A0A2I2Y8P2_GORGO_9595 and tr_H2QJ99_H2QJ99_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Y8P2_A0A2I2Y8P2_GORGO_9595 and sp_P10747_CD28_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2Y8P2_A0A2I2Y8P2_GORGO_9595 and tr_A0A2R9B296_A0A2R9B296_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3QY54_G3QY54_GORGO_9595 and tr_A0A2I3SUF9_A0A2I3SUF9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QY54_G3QY54_GORGO_9595 and sp_P16410_CTLA4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QY54_G3QY54_GORGO_9595 and tr_A0A2R9CI29_A0A2R9CI29_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1U6K4_G1U6K4_RABIT_9986 and sp_P42069_CD28_RABIT_9986 are exactly identical!
WARNING: Sequences tr_Q0PDN4_Q0PDN4_MACMU_9544 and tr_A0A0D9RD45_A0A0D9RD45_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_Q0PDN4_Q0PDN4_MACMU_9544 and tr_A0A2K6C7F5_A0A2K6C7F5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_Q0PDN4_Q0PDN4_MACMU_9544 and tr_A0A2K5ZG55_A0A2K5ZG55_MANLE_9568 are exactly identical!
WARNING: Sequences tr_K7GT46_K7GT46_PIG_9823 and sp_Q9MYX7_CTLA4_PIG_9823 are exactly identical!
WARNING: Sequences tr_G7PL87_G7PL87_MACFA_9541 and tr_A0A2I3N9H4_A0A2I3N9H4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7PL87_G7PL87_MACFA_9541 and tr_A0A2K5NTJ1_A0A2K5NTJ1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PL88_G7PL88_MACFA_9541 and tr_Q9BDN7_Q9BDN7_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7PL88_G7PL88_MACFA_9541 and tr_Q7JHJ2_Q7JHJ2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PL88_G7PL88_MACFA_9541 and tr_Q7JHJ0_Q7JHJ0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7PL88_G7PL88_MACFA_9541 and tr_A0A2K5ZGE4_A0A2K5ZGE4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F1MXF4_F1MXF4_BOVIN_9913 and sp_Q28071_CD28_BOVIN_9913 are exactly identical!
WARNING: Duplicate sequences found: 19

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/P16410/3_mltree/P16410.raxml.reduced.phy

Alignment comprises 1 partitions and 183 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 185 / 183
Gaps: 3.35 %
Invariant sites: 3.24 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/3_mltree/P16410.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 150 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 183 / 14640
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -49419.519265] Initial branch length optimization
[00:00:00 -37194.285495] Model parameter optimization (eps = 10.000000)
[00:00:07 -37155.861538] AUTODETECT spr round 1 (radius: 5)
[00:00:12 -22750.067010] AUTODETECT spr round 2 (radius: 10)
[00:00:20 -16528.513836] AUTODETECT spr round 3 (radius: 15)
[00:00:31 -14893.153152] AUTODETECT spr round 4 (radius: 20)
[00:00:40 -14857.942062] AUTODETECT spr round 5 (radius: 25)
[00:00:48 -14857.937621] SPR radius for FAST iterations: 20 (autodetect)
[00:00:48 -14857.937621] Model parameter optimization (eps = 3.000000)
[00:00:52 -14833.483147] FAST spr round 1 (radius: 20)
[00:01:00 -13785.206857] FAST spr round 2 (radius: 20)
[00:01:07 -13718.505587] FAST spr round 3 (radius: 20)
[00:01:12 -13709.692225] FAST spr round 4 (radius: 20)
[00:01:17 -13700.954622] FAST spr round 5 (radius: 20)
[00:01:21 -13700.954349] Model parameter optimization (eps = 1.000000)
[00:01:25 -13690.413153] SLOW spr round 1 (radius: 5)
[00:01:36 -13689.511384] SLOW spr round 2 (radius: 5)
[00:01:46 -13689.510928] SLOW spr round 3 (radius: 10)
[00:01:54 -13689.510907] SLOW spr round 4 (radius: 15)
[00:02:06 -13689.510889] SLOW spr round 5 (radius: 20)
[00:02:19 -13689.510871] SLOW spr round 6 (radius: 25)
[00:02:30] [worker #3] ML tree search #4, logLikelihood: -13695.164083
[00:02:32 -13689.510853] Model parameter optimization (eps = 0.100000)

[00:02:33] [worker #0] ML tree search #1, logLikelihood: -13689.500354

[00:02:33 -47868.143068] Initial branch length optimization
[00:02:33 -37555.653403] Model parameter optimization (eps = 10.000000)
[00:02:36] [worker #1] ML tree search #2, logLikelihood: -13699.298947
[00:02:39 -37520.852228] AUTODETECT spr round 1 (radius: 5)
[00:02:41] [worker #2] ML tree search #3, logLikelihood: -13692.924540
[00:02:45 -21060.204578] AUTODETECT spr round 2 (radius: 10)
[00:02:52 -15709.181575] AUTODETECT spr round 3 (radius: 15)
[00:03:02 -14991.917098] AUTODETECT spr round 4 (radius: 20)
[00:03:12 -14986.833828] AUTODETECT spr round 5 (radius: 25)
[00:03:21 -14986.826247] SPR radius for FAST iterations: 20 (autodetect)
[00:03:21 -14986.826247] Model parameter optimization (eps = 3.000000)
[00:03:26 -14944.300688] FAST spr round 1 (radius: 20)
[00:03:34 -13887.528171] FAST spr round 2 (radius: 20)
[00:03:40 -13702.579116] FAST spr round 3 (radius: 20)
[00:03:45 -13696.445879] FAST spr round 4 (radius: 20)
[00:03:49 -13696.445335] Model parameter optimization (eps = 1.000000)
[00:03:53 -13693.382638] SLOW spr round 1 (radius: 5)
[00:04:04 -13692.217730] SLOW spr round 2 (radius: 5)
[00:04:15 -13692.217248] SLOW spr round 3 (radius: 10)
[00:04:23 -13692.217039] SLOW spr round 4 (radius: 15)
[00:04:36 -13692.216941] SLOW spr round 5 (radius: 20)
[00:04:50 -13692.216895] SLOW spr round 6 (radius: 25)
[00:05:03 -13692.216873] Model parameter optimization (eps = 0.100000)

[00:05:04] [worker #0] ML tree search #5, logLikelihood: -13692.172221

[00:05:04 -48747.051972] Initial branch length optimization
[00:05:05 -37909.496461] Model parameter optimization (eps = 10.000000)
[00:05:05] [worker #1] ML tree search #6, logLikelihood: -13694.251855
[00:05:11 -37886.418757] AUTODETECT spr round 1 (radius: 5)
[00:05:15] [worker #3] ML tree search #8, logLikelihood: -13691.001594
[00:05:17 -22426.207517] AUTODETECT spr round 2 (radius: 10)
[00:05:25 -16484.937192] AUTODETECT spr round 3 (radius: 15)
[00:05:28] [worker #2] ML tree search #7, logLikelihood: -13688.721298
[00:05:34 -15011.307121] AUTODETECT spr round 4 (radius: 20)
[00:05:43 -14766.238818] AUTODETECT spr round 5 (radius: 25)
[00:05:53 -14766.236778] SPR radius for FAST iterations: 20 (autodetect)
[00:05:53 -14766.236778] Model parameter optimization (eps = 3.000000)
[00:05:58 -14733.247267] FAST spr round 1 (radius: 20)
[00:06:07 -13745.736633] FAST spr round 2 (radius: 20)
[00:06:13 -13698.972697] FAST spr round 3 (radius: 20)
[00:06:18 -13693.360558] FAST spr round 4 (radius: 20)
[00:06:22 -13693.360478] Model parameter optimization (eps = 1.000000)
[00:06:24 -13692.652393] SLOW spr round 1 (radius: 5)
[00:06:36 -13691.075827] SLOW spr round 2 (radius: 5)
[00:06:46 -13691.075420] SLOW spr round 3 (radius: 10)
[00:06:55 -13691.075389] SLOW spr round 4 (radius: 15)
[00:07:08 -13691.075360] SLOW spr round 5 (radius: 20)
[00:07:21 -13691.075331] SLOW spr round 6 (radius: 25)
[00:07:35 -13691.075303] Model parameter optimization (eps = 0.100000)

[00:07:36] [worker #0] ML tree search #9, logLikelihood: -13691.070928

[00:07:36 -49928.204963] Initial branch length optimization
[00:07:36 -38823.690070] Model parameter optimization (eps = 10.000000)
[00:07:42 -38794.254001] AUTODETECT spr round 1 (radius: 5)
[00:07:46] [worker #1] ML tree search #10, logLikelihood: -13689.805765
[00:07:48 -21923.227220] AUTODETECT spr round 2 (radius: 10)
[00:07:51] [worker #3] ML tree search #12, logLikelihood: -13699.049914
[00:07:56 -16620.286317] AUTODETECT spr round 3 (radius: 15)
[00:08:04 -15550.649031] AUTODETECT spr round 4 (radius: 20)
[00:08:12] [worker #2] ML tree search #11, logLikelihood: -13691.159741
[00:08:14 -14832.450880] AUTODETECT spr round 5 (radius: 25)
[00:08:23 -14832.413886] SPR radius for FAST iterations: 20 (autodetect)
[00:08:23 -14832.413886] Model parameter optimization (eps = 3.000000)
[00:08:28 -14788.515976] FAST spr round 1 (radius: 20)
[00:08:36 -13865.995560] FAST spr round 2 (radius: 20)
[00:08:42 -13717.989643] FAST spr round 3 (radius: 20)
[00:08:47 -13699.131535] FAST spr round 4 (radius: 20)
[00:08:52 -13699.131047] Model parameter optimization (eps = 1.000000)
[00:08:56 -13695.360198] SLOW spr round 1 (radius: 5)
[00:09:07 -13692.085907] SLOW spr round 2 (radius: 5)
[00:09:17 -13691.647902] SLOW spr round 3 (radius: 5)
[00:09:27 -13691.646799] SLOW spr round 4 (radius: 10)
[00:09:35 -13691.646249] SLOW spr round 5 (radius: 15)
[00:09:48 -13691.645970] SLOW spr round 6 (radius: 20)
[00:10:02 -13691.645831] SLOW spr round 7 (radius: 25)
[00:10:14 -13691.645762] Model parameter optimization (eps = 0.100000)

[00:10:15] [worker #0] ML tree search #13, logLikelihood: -13691.629253

[00:10:15 -48831.391213] Initial branch length optimization
[00:10:16 -37079.833427] Model parameter optimization (eps = 10.000000)
[00:10:22] [worker #1] ML tree search #14, logLikelihood: -13695.216665
[00:10:23 -37037.868913] AUTODETECT spr round 1 (radius: 5)
[00:10:26] [worker #3] ML tree search #16, logLikelihood: -13696.248166
[00:10:28 -23097.769447] AUTODETECT spr round 2 (radius: 10)
[00:10:36 -17274.902576] AUTODETECT spr round 3 (radius: 15)
[00:10:45 -14968.171534] AUTODETECT spr round 4 (radius: 20)
[00:10:54 -14914.828473] AUTODETECT spr round 5 (radius: 25)
[00:11:03 -14914.826033] SPR radius for FAST iterations: 20 (autodetect)
[00:11:03 -14914.826033] Model parameter optimization (eps = 3.000000)
[00:11:08] [worker #2] ML tree search #15, logLikelihood: -13694.544300
[00:11:10 -14884.184756] FAST spr round 1 (radius: 20)
[00:11:17 -13795.798149] FAST spr round 2 (radius: 20)
[00:11:23 -13705.722603] FAST spr round 3 (radius: 20)
[00:11:28 -13696.504743] FAST spr round 4 (radius: 20)
[00:11:32 -13696.504624] Model parameter optimization (eps = 1.000000)
[00:11:37 -13694.070080] SLOW spr round 1 (radius: 5)
[00:11:49 -13693.081400] SLOW spr round 2 (radius: 5)
[00:11:59 -13688.849520] SLOW spr round 3 (radius: 5)
[00:12:08 -13688.849478] SLOW spr round 4 (radius: 10)
[00:12:17 -13688.849450] SLOW spr round 5 (radius: 15)
[00:12:30 -13688.849422] SLOW spr round 6 (radius: 20)
[00:12:43 -13688.849394] SLOW spr round 7 (radius: 25)
[00:12:55 -13688.849365] Model parameter optimization (eps = 0.100000)
[00:12:56] [worker #1] ML tree search #18, logLikelihood: -13688.973865

[00:13:00] [worker #0] ML tree search #17, logLikelihood: -13686.296640

[00:13:18] [worker #3] ML tree search #20, logLikelihood: -13698.082656
[00:13:33] [worker #2] ML tree search #19, logLikelihood: -13687.384019

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.131004,0.231981) (0.142349,0.346652) (0.535697,1.146429) (0.190949,1.603177) 
   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: -13686.296640

AIC score: 27978.593281 / AICc score: 212202.593281 / BIC score: 28954.361096
Free parameters (model + branch lengths): 303

WARNING: Number of free parameters (K=303) is larger than alignment size (n=185).
         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/P16410/3_mltree/P16410.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/3_mltree/P16410.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/3_mltree/P16410.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P16410/3_mltree/P16410.raxml.log

Analysis started: 06-Jul-2021 16:53:49 / finished: 06-Jul-2021 17:07:22

Elapsed time: 813.318 seconds

Consumed energy: 74.318 Wh