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 12:52:34 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/2_msa/A6NF34_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/3_mltree/A6NF34 --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/A6NF34/2_msa/A6NF34_trimmed_msa.fasta
[00:00:00] Loaded alignment with 345 taxa and 232 sites

WARNING: Sequences tr_A0A1D5PLP6_A0A1D5PLP6_CHICK_9031 and tr_G1MPS4_G1MPS4_MELGA_9103 are exactly identical!
WARNING: Sequences sp_Q9CZ52_ANTR1_MOUSE_10090 and sp_Q0PMD2_ANTR1_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q9CZ52_ANTR1_MOUSE_10090 and tr_H0X6C8_H0X6C8_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_Q9CZ52_ANTR1_MOUSE_10090 and tr_A0A1S3FNS6_A0A1S3FNS6_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_G3QS83_G3QS83_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_H2QI14_H2QI14_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and sp_Q9H6X2_ANTR1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_F7A521_F7A521_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_G7PMD6_G7PMD6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_A0A096NUG9_A0A096NUG9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_A0A2K5LQH1_A0A2K5LQH1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_A0A2K6DVV9_A0A2K6DVV9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_A0A2K5ZJJ5_A0A2K5ZJJ5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1RGD9_G1RGD9_NOMLE_61853 and tr_A0A2R9BPT3_A0A2R9BPT3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2PDQ8_H2PDQ8_PONAB_9601 and sp_P58335_ANTR2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1SYW6_G1SYW6_RABIT_9986 and tr_A0A1U7QCT3_A0A1U7QCT3_MESAU_10036 are exactly identical!
WARNING: Sequences tr_H2QPS0_H2QPS0_PANTR_9598 and tr_A0A2R9C7M5_A0A2R9C7M5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5QEZ3_W5QEZ3_SHEEP_9940 and tr_E1BC74_E1BC74_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_W5QEZ3_W5QEZ3_SHEEP_9940 and tr_A0A2U4BY58_A0A2U4BY58_TURTR_9739 are exactly identical!
WARNING: Sequences tr_W5QEZ3_W5QEZ3_SHEEP_9940 and tr_A0A2Y9MIP6_A0A2Y9MIP6_DELLE_9749 are exactly identical!
WARNING: Sequences tr_W5QEZ3_W5QEZ3_SHEEP_9940 and tr_A0A2Y9FNX1_A0A2Y9FNX1_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_M3ZHW6_M3ZHW6_XIPMA_8083 and tr_A0A087Y223_A0A087Y223_POEFO_48698 are exactly identical!
WARNING: Sequences tr_F7EH69_F7EH69_MACMU_9544 and tr_G7P531_G7P531_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7EH69_F7EH69_MACMU_9544 and tr_A0A2I3N8Y9_A0A2I3N8Y9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7EH69_F7EH69_MACMU_9544 and tr_A0A2K5MBM9_A0A2K5MBM9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7EH69_F7EH69_MACMU_9544 and tr_A0A2K6BDT8_A0A2K6BDT8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EH69_F7EH69_MACMU_9544 and tr_A0A2K5Y0N6_A0A2K5Y0N6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1LFC0_G1LFC0_AILME_9646 and tr_A0A384C9H7_A0A384C9H7_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G1M684_G1M684_AILME_9646 and tr_M3W804_M3W804_FELCA_9685 are exactly identical!
WARNING: Sequences tr_G1M684_G1M684_AILME_9646 and tr_A0A2U3VQT2_A0A2U3VQT2_ODORO_9708 are exactly identical!
WARNING: Sequences tr_G1M684_G1M684_AILME_9646 and tr_A0A2Y9JR34_A0A2Y9JR34_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_G1M684_G1M684_AILME_9646 and tr_A0A384CTK1_A0A384CTK1_URSMA_29073 are exactly identical!
WARNING: Sequences tr_U3JBR6_U3JBR6_FICAL_59894 and tr_U3J9E7_U3J9E7_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_U3JBR6_U3JBR6_FICAL_59894 and tr_A0A1V4KR05_A0A1V4KR05_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A087YHU2_A0A087YHU2_POEFO_48698 and tr_A0A087YHY5_A0A087YHY5_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A151MLA2_A0A151MLA2_ALLMI_8496 and tr_A0A3Q0HG45_A0A3Q0HG45_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151P5E3_A0A151P5E3_ALLMI_8496 and tr_A0A3Q0HFL4_A0A3Q0HFL4_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091JDF5_A0A091JDF5_EGRGA_188379 and tr_A0A0A0AP45_A0A0A0AP45_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A087R254_A0A087R254_APTFO_9233 and tr_A0A091XI35_A0A091XI35_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A2I0LY64_A0A2I0LY64_COLLI_8932 and tr_A0A1V4KJ84_A0A1V4KJ84_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A2D0QZW4_A0A2D0QZW4_ICTPU_7998 and tr_W5UQW7_W5UQW7_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 41

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/A6NF34/3_mltree/A6NF34.raxml.reduced.phy

Alignment comprises 1 partitions and 232 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 232 / 232
Gaps: 8.78 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/3_mltree/A6NF34.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 345 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 232 / 18560
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -103473.153690] Initial branch length optimization
[00:00:01 -82279.645381] Model parameter optimization (eps = 10.000000)
[00:00:20 -82185.243509] AUTODETECT spr round 1 (radius: 5)
[00:00:46 -58294.821613] AUTODETECT spr round 2 (radius: 10)
[00:01:23 -42394.636719] AUTODETECT spr round 3 (radius: 15)
[00:02:06 -38786.248096] AUTODETECT spr round 4 (radius: 20)
[00:03:02 -37348.572844] AUTODETECT spr round 5 (radius: 25)
[00:03:59 -37089.748082] SPR radius for FAST iterations: 25 (autodetect)
[00:03:59 -37089.748082] Model parameter optimization (eps = 3.000000)
[00:04:15 -36990.477704] FAST spr round 1 (radius: 25)
[00:04:52 -33185.280576] FAST spr round 2 (radius: 25)
[00:05:21 -33019.385541] FAST spr round 3 (radius: 25)
[00:05:44 -33018.334130] FAST spr round 4 (radius: 25)
[00:06:06 -33017.640265] FAST spr round 5 (radius: 25)
[00:06:27 -33017.089878] FAST spr round 6 (radius: 25)
[00:06:48 -33017.089846] Model parameter optimization (eps = 1.000000)
[00:06:59 -33012.488465] SLOW spr round 1 (radius: 5)
[00:07:34 -33004.119450] SLOW spr round 2 (radius: 5)
[00:08:07 -33002.019094] SLOW spr round 3 (radius: 5)
[00:08:41 -33000.401974] SLOW spr round 4 (radius: 5)
[00:09:13 -32999.610431] SLOW spr round 5 (radius: 5)
[00:09:45 -32999.610160] SLOW spr round 6 (radius: 10)
[00:10:20 -32997.726183] SLOW spr round 7 (radius: 5)
[00:11:07 -32997.668939] SLOW spr round 8 (radius: 10)
[00:11:47 -32997.667655] SLOW spr round 9 (radius: 15)
[00:12:14] [worker #2] ML tree search #3, logLikelihood: -32998.071860
[00:12:48 -32997.667513] SLOW spr round 10 (radius: 20)
[00:13:09] [worker #4] ML tree search #5, logLikelihood: -32996.970334
[00:14:27 -32997.667505] SLOW spr round 11 (radius: 25)
[00:14:32] [worker #3] ML tree search #4, logLikelihood: -32996.613002
[00:16:11 -32997.667505] Model parameter optimization (eps = 0.100000)

[00:16:20] [worker #0] ML tree search #1, logLikelihood: -32997.291164

[00:16:20 -101728.858567] Initial branch length optimization
[00:16:21 -80453.564161] Model parameter optimization (eps = 10.000000)
[00:16:41 -80365.283001] AUTODETECT spr round 1 (radius: 5)
[00:17:09 -57538.120444] AUTODETECT spr round 2 (radius: 10)
[00:17:18] [worker #1] ML tree search #2, logLikelihood: -32997.001226
[00:17:44 -45556.125638] AUTODETECT spr round 3 (radius: 15)
[00:18:29 -41848.090627] AUTODETECT spr round 4 (radius: 20)
[00:19:21 -39722.648029] AUTODETECT spr round 5 (radius: 25)
[00:20:06 -39055.121020] SPR radius for FAST iterations: 25 (autodetect)
[00:20:06 -39055.121020] Model parameter optimization (eps = 3.000000)
[00:20:27 -38955.722228] FAST spr round 1 (radius: 25)
[00:21:06 -33699.180491] FAST spr round 2 (radius: 25)
[00:21:41 -33022.774018] FAST spr round 3 (radius: 25)
[00:22:07 -33013.662034] FAST spr round 4 (radius: 25)
[00:22:29 -33013.019906] FAST spr round 5 (radius: 25)
[00:22:51 -33013.019893] Model parameter optimization (eps = 1.000000)
[00:22:59 -33003.488686] SLOW spr round 1 (radius: 5)
[00:23:36 -32999.144150] SLOW spr round 2 (radius: 5)
[00:24:10 -32998.867004] SLOW spr round 3 (radius: 5)
[00:24:44 -32998.866868] SLOW spr round 4 (radius: 10)
[00:25:20 -32997.825391] SLOW spr round 5 (radius: 5)
[00:26:10 -32997.825387] SLOW spr round 6 (radius: 10)
[00:26:53 -32997.825174] SLOW spr round 7 (radius: 15)
[00:27:53 -32997.825173] SLOW spr round 8 (radius: 20)
[00:28:05] [worker #4] ML tree search #10, logLikelihood: -32996.751460
[00:28:09] [worker #2] ML tree search #8, logLikelihood: -33002.844689
[00:29:25 -32997.825172] SLOW spr round 9 (radius: 25)
[00:30:53 -32997.825172] Model parameter optimization (eps = 0.100000)

[00:31:01] [worker #0] ML tree search #6, logLikelihood: -32997.661295

[00:31:01 -101030.903714] Initial branch length optimization
[00:31:02 -80275.407766] Model parameter optimization (eps = 10.000000)
[00:31:18 -80173.967317] AUTODETECT spr round 1 (radius: 5)
[00:31:46 -56481.458982] AUTODETECT spr round 2 (radius: 10)
[00:32:21 -46726.659457] AUTODETECT spr round 3 (radius: 15)
[00:32:37] [worker #1] ML tree search #7, logLikelihood: -32996.843788
[00:33:05 -39693.764770] AUTODETECT spr round 4 (radius: 20)
[00:34:13 -37362.572481] AUTODETECT spr round 5 (radius: 25)
[00:35:28 -37164.067078] SPR radius for FAST iterations: 25 (autodetect)
[00:35:28 -37164.067078] Model parameter optimization (eps = 3.000000)
[00:35:42 -37078.838167] FAST spr round 1 (radius: 25)
[00:35:52] [worker #3] ML tree search #9, logLikelihood: -32996.992586
[00:36:21 -33290.298222] FAST spr round 2 (radius: 25)
[00:36:51 -33024.170670] FAST spr round 3 (radius: 25)
[00:37:15 -33021.548830] FAST spr round 4 (radius: 25)
[00:37:37 -33021.548768] Model parameter optimization (eps = 1.000000)
[00:37:54 -33005.724233] SLOW spr round 1 (radius: 5)
[00:38:30 -33001.549433] SLOW spr round 2 (radius: 5)
[00:39:06 -33001.345580] SLOW spr round 3 (radius: 5)
[00:39:41 -33001.345553] SLOW spr round 4 (radius: 10)
[00:40:19 -33000.196579] SLOW spr round 5 (radius: 5)
[00:41:10 -33000.195873] SLOW spr round 6 (radius: 10)
[00:41:13] [worker #4] ML tree search #15, logLikelihood: -33002.407758
[00:41:54 -33000.195859] SLOW spr round 7 (radius: 15)
[00:43:02 -33000.195858] SLOW spr round 8 (radius: 20)
[00:44:55 -33000.195857] SLOW spr round 9 (radius: 25)
[00:45:17] [worker #2] ML tree search #13, logLikelihood: -32996.587409
[00:46:36 -32999.893479] SLOW spr round 10 (radius: 5)
[00:47:34 -32999.891466] SLOW spr round 11 (radius: 10)
[00:48:23 -32999.890995] SLOW spr round 12 (radius: 15)
[00:49:31 -32999.890904] SLOW spr round 13 (radius: 20)
[00:51:14] [worker #3] ML tree search #14, logLikelihood: -32996.971882
[00:51:25 -32999.890883] SLOW spr round 14 (radius: 25)
[00:52:15] [worker #1] ML tree search #12, logLikelihood: -32999.441889
[00:53:06 -32999.890878] Model parameter optimization (eps = 0.100000)

[00:53:13] [worker #0] ML tree search #11, logLikelihood: -32999.746397

[00:53:13 -101276.262628] Initial branch length optimization
[00:53:14 -81268.116023] Model parameter optimization (eps = 10.000000)
[00:53:28 -81161.051133] AUTODETECT spr round 1 (radius: 5)
[00:53:55 -57128.398908] AUTODETECT spr round 2 (radius: 10)
[00:54:30 -44989.931466] AUTODETECT spr round 3 (radius: 15)
[00:55:10 -37205.782421] AUTODETECT spr round 4 (radius: 20)
[00:56:05 -36765.113533] AUTODETECT spr round 5 (radius: 25)
[00:57:06 -36764.007351] SPR radius for FAST iterations: 25 (autodetect)
[00:57:06 -36764.007351] Model parameter optimization (eps = 3.000000)
[00:57:19 -36671.700781] FAST spr round 1 (radius: 25)
[00:57:56 -33385.813347] FAST spr round 2 (radius: 25)
[00:58:27 -33037.330447] FAST spr round 3 (radius: 25)
[00:58:53 -33015.469187] FAST spr round 4 (radius: 25)
[00:59:14 -33015.469063] Model parameter optimization (eps = 1.000000)
[00:59:26 -33010.377663] SLOW spr round 1 (radius: 5)
[01:00:02 -33003.292549] SLOW spr round 2 (radius: 5)
[01:00:13] [worker #2] ML tree search #18, logLikelihood: -32996.063075
[01:00:37 -33002.429124] SLOW spr round 3 (radius: 5)
[01:00:39] [worker #4] ML tree search #20, logLikelihood: -32998.110686
[01:01:10 -33002.429114] SLOW spr round 4 (radius: 10)
[01:01:48 -33001.327375] SLOW spr round 5 (radius: 5)
[01:02:38 -33001.327362] SLOW spr round 6 (radius: 10)
[01:03:22 -33001.327361] SLOW spr round 7 (radius: 15)
[01:04:28 -33001.327361] SLOW spr round 8 (radius: 20)
[01:06:19 -33001.327361] SLOW spr round 9 (radius: 25)
[01:06:41] [worker #3] ML tree search #19, logLikelihood: -32996.361373
[01:07:23] [worker #1] ML tree search #17, logLikelihood: -32996.725092
[01:08:00 -33001.327360] Model parameter optimization (eps = 0.100000)

[01:08:08] [worker #0] ML tree search #16, logLikelihood: -33001.043784


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.235748,0.493535) (0.122973,0.434032) (0.423476,0.845809) (0.217803,2.167539) 
   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: -32996.063075

AIC score: 67378.126150 / AICc score: 1029262.126150 / BIC score: 69766.715149
Free parameters (model + branch lengths): 693

WARNING: Number of free parameters (K=693) is larger than alignment size (n=232).
         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/A6NF34/3_mltree/A6NF34.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/3_mltree/A6NF34.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/3_mltree/A6NF34.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NF34/3_mltree/A6NF34.raxml.log

Analysis started: 06-Jul-2021 12:52:34 / finished: 06-Jul-2021 14:00:42

Elapsed time: 4088.247 seconds

Consumed energy: 382.016 Wh (= 2 km in an electric car, or 10 km with an e-scooter!)