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 30-Jun-2021 23:59:29 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/2_msa/P08637_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/3_mltree/P08637 --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/P08637/2_msa/P08637_trimmed_msa.fasta
[00:00:00] Loaded alignment with 470 taxa and 221 sites

WARNING: Sequences tr_H2Q0C9_H2Q0C9_PANTR_9598 and tr_A0A2R8ZWM1_A0A2R8ZWM1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H0UZS9_H0UZS9_CAVPO_10141 and sp_Q60513_FCGR2_CAVPO_10141 are exactly identical!
WARNING: Sequences sp_A3RFZ7_FCGR3_MACMU_9544 and tr_A0A2K6D7M8_A0A2K6D7M8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2K5NTC0_A0A2K5NTC0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2K6DAR9_A0A2K6DAR9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_G7NWB2_G7NWB2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_A0A2K6AXC5_A0A2K6AXC5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_G7NVA6_G7NVA6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A096NPN3_A0A096NPN3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A2K5NZT6_A0A2K5NZT6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A2K6B6Q5_A0A2K6B6Q5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7NXB8_G7NXB8_MACFA_9541 and tr_A0A2I3M0Y3_A0A2I3M0Y3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A096N0K1_A0A096N0K1_PAPAN_9555 and tr_A0A2K5MNP3_A0A2K5MNP3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A0D9S3A7_A0A0D9S3A7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A2K6BFV5_A0A2K6BFV5_MACNE_9545 are exactly identical!
WARNING: Sequences sp_Q09TM2_FCGR3_PAPAN_9555 and tr_A0A2K5M3N8_A0A2K5M3N8_CERAT_9531 are exactly identical!
WARNING: Sequences sp_Q09TM2_FCGR3_PAPAN_9555 and sp_Q09TM4_FCGR3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2Y9MQE3_A0A2Y9MQE3_DELLE_9749 and tr_A0A2Y9FE65_A0A2Y9FE65_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2Y9MQE3_A0A2Y9MQE3_DELLE_9749 and tr_A0A383Z9R6_A0A383Z9R6_BALAS_310752 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/P08637/3_mltree/P08637.raxml.reduced.phy

Alignment comprises 1 partitions and 221 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 221 / 221
Gaps: 10.33 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/3_mltree/P08637.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 470 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 221 / 17680
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -194462.932858] Initial branch length optimization
[00:00:01 -169205.983704] Model parameter optimization (eps = 10.000000)
[00:00:25 -168097.727286] AUTODETECT spr round 1 (radius: 5)
[00:01:08 -117676.630983] AUTODETECT spr round 2 (radius: 10)
[00:01:58 -87432.892216] AUTODETECT spr round 3 (radius: 15)
[00:02:57 -78521.799759] AUTODETECT spr round 4 (radius: 20)
[00:04:33 -76973.894673] AUTODETECT spr round 5 (radius: 25)
[00:06:22 -76973.891465] SPR radius for FAST iterations: 20 (autodetect)
[00:06:22 -76973.891465] Model parameter optimization (eps = 3.000000)
[00:06:39 -76901.947428] FAST spr round 1 (radius: 20)
[00:07:33 -71416.370427] FAST spr round 2 (radius: 20)
[00:08:17 -71227.254737] FAST spr round 3 (radius: 20)
[00:08:51 -71216.839771] FAST spr round 4 (radius: 20)
[00:09:23 -71216.839742] Model parameter optimization (eps = 1.000000)
[00:09:33 -71213.469111] SLOW spr round 1 (radius: 5)
[00:10:33 -71193.477837] SLOW spr round 2 (radius: 5)
[00:11:26 -71162.111984] SLOW spr round 3 (radius: 5)
[00:12:17 -71151.458547] SLOW spr round 4 (radius: 5)
[00:13:07 -71151.458531] SLOW spr round 5 (radius: 10)
[00:13:59 -71150.982764] SLOW spr round 6 (radius: 5)
[00:15:09 -71150.982755] SLOW spr round 7 (radius: 10)
[00:16:08 -71150.982755] SLOW spr round 8 (radius: 15)
[00:17:34 -71144.696545] SLOW spr round 9 (radius: 5)
[00:18:50 -71136.609524] SLOW spr round 10 (radius: 5)
[00:19:51 -71136.609524] SLOW spr round 11 (radius: 10)
[00:20:46 -71136.609524] SLOW spr round 12 (radius: 15)
[00:20:48] [worker #1] ML tree search #2, logLikelihood: -71145.617462
[00:20:48] [worker #2] ML tree search #3, logLikelihood: -71151.004877
[00:21:00] [worker #3] ML tree search #4, logLikelihood: -71140.672447
[00:22:15 -71136.609524] SLOW spr round 13 (radius: 20)
[00:24:53 -71136.609524] SLOW spr round 14 (radius: 25)
[00:27:46 -71136.609524] Model parameter optimization (eps = 0.100000)

[00:27:48] [worker #0] ML tree search #1, logLikelihood: -71136.601433

[00:27:49 -196961.883371] Initial branch length optimization
[00:27:50 -171028.478180] Model parameter optimization (eps = 10.000000)
[00:28:16 -170027.923133] AUTODETECT spr round 1 (radius: 5)
[00:29:00 -123118.739749] AUTODETECT spr round 2 (radius: 10)
[00:29:52 -89023.859301] AUTODETECT spr round 3 (radius: 15)
[00:30:59 -79377.490191] AUTODETECT spr round 4 (radius: 20)
[00:32:38 -79049.508670] AUTODETECT spr round 5 (radius: 25)
[00:34:03 -79022.790682] SPR radius for FAST iterations: 25 (autodetect)
[00:34:03 -79022.790682] Model parameter optimization (eps = 3.000000)
[00:34:16 -78999.455189] FAST spr round 1 (radius: 25)
[00:35:10 -71726.642541] FAST spr round 2 (radius: 25)
[00:35:56 -71306.277846] FAST spr round 3 (radius: 25)
[00:36:36 -71255.362464] FAST spr round 4 (radius: 25)
[00:37:09 -71252.715522] FAST spr round 5 (radius: 25)
[00:37:41 -71246.312293] FAST spr round 6 (radius: 25)
[00:38:13 -71246.312244] Model parameter optimization (eps = 1.000000)
[00:38:28 -71192.074602] SLOW spr round 1 (radius: 5)
[00:39:28 -71164.855519] SLOW spr round 2 (radius: 5)
[00:40:21 -71162.680225] SLOW spr round 3 (radius: 5)
[00:41:13 -71161.283137] SLOW spr round 4 (radius: 5)
[00:41:23] [worker #1] ML tree search #6, logLikelihood: -71155.089606
[00:41:50] [worker #3] ML tree search #8, logLikelihood: -71136.991038
[00:42:03 -71161.283115] SLOW spr round 5 (radius: 10)
[00:42:58 -71142.941379] SLOW spr round 6 (radius: 5)
[00:43:31] [worker #2] ML tree search #7, logLikelihood: -71164.541905
[00:44:11 -71130.601208] SLOW spr round 7 (radius: 5)
[00:45:10 -71130.601191] SLOW spr round 8 (radius: 10)
[00:46:05 -71130.601191] SLOW spr round 9 (radius: 15)
[00:47:38 -71130.601191] SLOW spr round 10 (radius: 20)
[00:50:20 -71130.601191] SLOW spr round 11 (radius: 25)
[00:53:20 -71130.601191] Model parameter optimization (eps = 0.100000)

[00:53:24] [worker #0] ML tree search #5, logLikelihood: -71130.552863

[00:53:24 -195799.374003] Initial branch length optimization
[00:53:25 -170071.680563] Model parameter optimization (eps = 10.000000)
[00:53:43 -169156.982924] AUTODETECT spr round 1 (radius: 5)
[00:54:26 -117017.911444] AUTODETECT spr round 2 (radius: 10)
[00:55:16 -88987.075451] AUTODETECT spr round 3 (radius: 15)
[00:56:17 -79801.604609] AUTODETECT spr round 4 (radius: 20)
[00:57:30 -78118.773112] AUTODETECT spr round 5 (radius: 25)
[00:59:07 -78118.750239] SPR radius for FAST iterations: 20 (autodetect)
[00:59:07 -78118.750239] Model parameter optimization (eps = 3.000000)
[00:59:29 -78003.246280] FAST spr round 1 (radius: 20)
[01:00:20 -71438.104603] FAST spr round 2 (radius: 20)
[01:01:01 -71249.387130] FAST spr round 3 (radius: 20)
[01:01:40 -71192.222906] FAST spr round 4 (radius: 20)
[01:02:14 -71183.475702] FAST spr round 5 (radius: 20)
[01:02:24] [worker #1] ML tree search #10, logLikelihood: -71147.088430
[01:02:47 -71180.038135] FAST spr round 6 (radius: 20)
[01:03:19 -71180.038020] Model parameter optimization (eps = 1.000000)
[01:03:20] [worker #2] ML tree search #11, logLikelihood: -71166.984997
[01:03:24 -71179.130491] SLOW spr round 1 (radius: 5)
[01:04:22] [worker #3] ML tree search #12, logLikelihood: -71146.250639
[01:04:23 -71156.266408] SLOW spr round 2 (radius: 5)
[01:05:18 -71150.873916] SLOW spr round 3 (radius: 5)
[01:06:09 -71149.934042] SLOW spr round 4 (radius: 5)
[01:07:00 -71149.671679] SLOW spr round 5 (radius: 5)
[01:07:49 -71149.671527] SLOW spr round 6 (radius: 10)
[01:08:41 -71149.671526] SLOW spr round 7 (radius: 15)
[01:10:14 -71149.671526] SLOW spr round 8 (radius: 20)
[01:12:57 -71149.671526] SLOW spr round 9 (radius: 25)
[01:15:55 -71149.671526] Model parameter optimization (eps = 0.100000)

[01:16:00] [worker #0] ML tree search #9, logLikelihood: -71149.367802

[01:16:00 -196736.720644] Initial branch length optimization
[01:16:03 -171950.299837] Model parameter optimization (eps = 10.000000)
[01:16:20 -170964.459886] AUTODETECT spr round 1 (radius: 5)
[01:17:03 -117776.024503] AUTODETECT spr round 2 (radius: 10)
[01:17:54 -93094.735086] AUTODETECT spr round 3 (radius: 15)
[01:18:56 -83916.962240] AUTODETECT spr round 4 (radius: 20)
[01:20:32 -80374.628578] AUTODETECT spr round 5 (radius: 25)
[01:22:30 -80128.970639] SPR radius for FAST iterations: 25 (autodetect)
[01:22:30 -80128.970639] Model parameter optimization (eps = 3.000000)
[01:22:46 -80040.365485] FAST spr round 1 (radius: 25)
[01:23:19] [worker #1] ML tree search #14, logLikelihood: -71137.941077
[01:23:38 -71575.519659] FAST spr round 2 (radius: 25)
[01:24:23 -71206.995197] FAST spr round 3 (radius: 25)
[01:25:00 -71175.185396] FAST spr round 4 (radius: 25)
[01:25:33 -71172.760040] FAST spr round 5 (radius: 25)
[01:26:05 -71172.759809] Model parameter optimization (eps = 1.000000)
[01:26:12 -71171.374126] SLOW spr round 1 (radius: 5)
[01:27:10 -71143.307915] SLOW spr round 2 (radius: 5)
[01:27:27] [worker #2] ML tree search #15, logLikelihood: -71135.379664
[01:28:04 -71142.169100] SLOW spr round 3 (radius: 5)
[01:28:54 -71142.169085] SLOW spr round 4 (radius: 10)
[01:29:10] [worker #3] ML tree search #16, logLikelihood: -71145.337145
[01:29:47 -71142.169085] SLOW spr round 5 (radius: 15)
[01:31:21 -71142.169085] SLOW spr round 6 (radius: 20)
[01:34:03 -71142.169085] SLOW spr round 7 (radius: 25)
[01:36:56 -71142.169085] Model parameter optimization (eps = 0.100000)

[01:37:00] [worker #0] ML tree search #13, logLikelihood: -71142.153411

[01:37:00 -197230.053733] Initial branch length optimization
[01:37:02 -171363.602148] Model parameter optimization (eps = 10.000000)
[01:37:26 -170234.925333] AUTODETECT spr round 1 (radius: 5)
[01:38:10 -117649.320931] AUTODETECT spr round 2 (radius: 10)
[01:39:00 -91848.890739] AUTODETECT spr round 3 (radius: 15)
[01:40:05 -83071.752602] AUTODETECT spr round 4 (radius: 20)
[01:41:50 -81295.870261] AUTODETECT spr round 5 (radius: 25)
[01:43:52 -81295.859698] SPR radius for FAST iterations: 20 (autodetect)
[01:43:52 -81295.859698] Model parameter optimization (eps = 3.000000)
[01:44:07 -81203.249694] FAST spr round 1 (radius: 20)
[01:44:59 -71553.744531] FAST spr round 2 (radius: 20)
[01:45:41 -71180.319293] FAST spr round 3 (radius: 20)
[01:46:18 -71164.558626] FAST spr round 4 (radius: 20)
[01:46:50 -71164.558487] Model parameter optimization (eps = 1.000000)
[01:47:00 -71160.964627] SLOW spr round 1 (radius: 5)
[01:47:15] [worker #2] ML tree search #19, logLikelihood: -71136.685268
[01:47:48] [worker #1] ML tree search #18, logLikelihood: -71151.064583
[01:47:58 -71140.317494] SLOW spr round 2 (radius: 5)
[01:48:50 -71140.192732] SLOW spr round 3 (radius: 5)
[01:49:41 -71140.192728] SLOW spr round 4 (radius: 10)
[01:50:33 -71140.192728] SLOW spr round 5 (radius: 15)
[01:50:34] [worker #3] ML tree search #20, logLikelihood: -71146.776187
[01:52:03 -71140.192728] SLOW spr round 6 (radius: 20)
[01:54:42 -71140.192728] SLOW spr round 7 (radius: 25)
[01:57:35 -71140.192728] Model parameter optimization (eps = 0.100000)

[01:57:39] [worker #0] ML tree search #17, logLikelihood: -71140.158736


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.087166,0.221615) (0.083802,0.265840) (0.377014,0.762748) (0.452019,1.484095) 
   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: -71130.552863

AIC score: 144147.105726 / AICc score: 1924531.105726 / BIC score: 147351.573154
Free parameters (model + branch lengths): 943

WARNING: Number of free parameters (K=943) is larger than alignment size (n=221).
         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/P08637/3_mltree/P08637.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/3_mltree/P08637.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/3_mltree/P08637.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P08637/3_mltree/P08637.raxml.log

Analysis started: 30-Jun-2021 23:59:29 / finished: 01-Jul-2021 01:57:09

Elapsed time: 7059.895 seconds

Consumed energy: 546.464 Wh (= 3 km in an electric car, or 14 km with an e-scooter!)