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 01-Jul-2021 16:28:06 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/2_msa/B6SEH8_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8 --seed 2 --threads 2 --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 (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/2_msa/B6SEH8_trimmed_msa.fasta
[00:00:00] Loaded alignment with 103 taxa and 110 sites

WARNING: Sequences tr_G1SAU5_G1SAU5_NOMLE_61853 and tr_A0A2I2ZSI0_A0A2I2ZSI0_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1SAU5_G1SAU5_NOMLE_61853 and tr_A0A2I3SEB3_A0A2I3SEB3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1SAU5_G1SAU5_NOMLE_61853 and tr_A0A2R9B6F8_A0A2R9B6F8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3S0K3_G3S0K3_GORGO_9595 and sp_P61554_SYCY2_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1KZ42_G1KZ42_ANOCA_28377 and tr_H9GR43_H9GR43_ANOCA_28377 are exactly identical!
WARNING: Sequences tr_K7DZG6_K7DZG6_MONDO_13616 and tr_K7E0P1_K7E0P1_MONDO_13616 are exactly identical!
WARNING: Sequences tr_W5NQP6_W5NQP6_SHEEP_9940 and tr_W5NSQ0_W5NSQ0_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5Q4Q6_A0A3B5Q4Q6_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5Q6P4_A0A3B5Q6P4_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5Q9P3_A0A3B5Q9P3_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5QNU7_A0A3B5QNU7_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5R0A8_A0A3B5R0A8_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q368_A0A3B5Q368_XIPMA_8083 and tr_A0A3B5R4F7_A0A3B5R4F7_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q383_A0A3B5Q383_XIPMA_8083 and tr_A0A3B5QKG0_A0A3B5QKG0_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A3B5Q383_A0A3B5Q383_XIPMA_8083 and tr_A0A3B5QLD6_A0A3B5QLD6_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A1D5QF30_A0A1D5QF30_MACMU_9544 and tr_A0A0D9SE58_A0A0D9SE58_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QF30_A0A1D5QF30_MACMU_9544 and tr_A0A2K6DA93_A0A2K6DA93_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A286ZJA0_A0A286ZJA0_PIG_9823 and tr_A0A287BSP4_A0A287BSP4_PIG_9823 are exactly identical!
WARNING: Duplicate sequences found: 18

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/B6SEH8/3_mltree/B6SEH8.raxml.reduced.phy

Alignment comprises 1 partitions and 110 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 110 / 110
Gaps: 5.52 %
Invariant sites: 0.91 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8.raxml.rba

Parallelization scheme autoconfig: 2 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 103 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 110 / 8800
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -22404.985705] Initial branch length optimization
[00:00:00 -17974.492071] Model parameter optimization (eps = 10.000000)
[00:00:03 -17930.947032] AUTODETECT spr round 1 (radius: 5)
[00:00:05 -10867.059608] AUTODETECT spr round 2 (radius: 10)
[00:00:09 -8575.474458] AUTODETECT spr round 3 (radius: 15)
[00:00:12 -8148.727120] AUTODETECT spr round 4 (radius: 20)
[00:00:15 -8146.245418] AUTODETECT spr round 5 (radius: 25)
[00:00:16 -8146.214074] SPR radius for FAST iterations: 20 (autodetect)
[00:00:16 -8146.214074] Model parameter optimization (eps = 3.000000)
[00:00:19 -8132.303117] FAST spr round 1 (radius: 20)
[00:00:22 -7481.460944] FAST spr round 2 (radius: 20)
[00:00:24 -7323.994467] FAST spr round 3 (radius: 20)
[00:00:27 -7306.001412] FAST spr round 4 (radius: 20)
[00:00:28 -7304.992669] FAST spr round 5 (radius: 20)
[00:00:30 -7304.992553] Model parameter optimization (eps = 1.000000)
[00:00:32 -7302.955746] SLOW spr round 1 (radius: 5)
[00:00:36 -7302.407637] SLOW spr round 2 (radius: 5)
[00:00:40 -7302.407466] SLOW spr round 3 (radius: 10)
[00:00:44 -7302.407457] SLOW spr round 4 (radius: 15)
[00:00:50 -7302.407456] SLOW spr round 5 (radius: 20)
[00:00:54 -7302.407456] SLOW spr round 6 (radius: 25)
[00:00:56] [worker #1] ML tree search #2, logLikelihood: -7302.392132
[00:00:57 -7302.407456] Model parameter optimization (eps = 0.100000)

[00:00:58] [worker #0] ML tree search #1, logLikelihood: -7302.391482

[00:00:58 -22200.439661] Initial branch length optimization
[00:00:58 -17852.808359] Model parameter optimization (eps = 10.000000)
[00:01:02 -17775.451880] AUTODETECT spr round 1 (radius: 5)
[00:01:04 -10555.214120] AUTODETECT spr round 2 (radius: 10)
[00:01:07 -8470.882566] AUTODETECT spr round 3 (radius: 15)
[00:01:11 -8448.322248] AUTODETECT spr round 4 (radius: 20)
[00:01:13 -8448.290127] SPR radius for FAST iterations: 15 (autodetect)
[00:01:13 -8448.290127] Model parameter optimization (eps = 3.000000)
[00:01:16 -8426.584679] FAST spr round 1 (radius: 15)
[00:01:19 -7333.763989] FAST spr round 2 (radius: 15)
[00:01:22 -7312.011492] FAST spr round 3 (radius: 15)
[00:01:23 -7309.614316] FAST spr round 4 (radius: 15)
[00:01:25 -7309.612280] Model parameter optimization (eps = 1.000000)
[00:01:27 -7302.433398] SLOW spr round 1 (radius: 5)
[00:01:32 -7302.399014] SLOW spr round 2 (radius: 10)
[00:01:36 -7302.396823] SLOW spr round 3 (radius: 15)
[00:01:42 -7302.396606] SLOW spr round 4 (radius: 20)
[00:01:47 -7302.396582] SLOW spr round 5 (radius: 25)
[00:01:49 -7302.396579] Model parameter optimization (eps = 0.100000)

[00:01:50] [worker #0] ML tree search #3, logLikelihood: -7302.391721

[00:01:50 -21832.930141] Initial branch length optimization
[00:01:50 -17383.533983] Model parameter optimization (eps = 10.000000)
[00:01:53 -17325.867136] AUTODETECT spr round 1 (radius: 5)
[00:01:55 -10671.104121] AUTODETECT spr round 2 (radius: 10)
[00:01:58 -8049.167089] AUTODETECT spr round 3 (radius: 15)
[00:02:01 -7817.277851] AUTODETECT spr round 4 (radius: 20)
[00:02:03] [worker #1] ML tree search #4, logLikelihood: -7304.407381
[00:02:04 -7817.262502] SPR radius for FAST iterations: 15 (autodetect)
[00:02:04 -7817.262502] Model parameter optimization (eps = 3.000000)
[00:02:06 -7804.558932] FAST spr round 1 (radius: 15)
[00:02:09 -7353.158932] FAST spr round 2 (radius: 15)
[00:02:11 -7309.220565] FAST spr round 3 (radius: 15)
[00:02:14 -7304.872334] FAST spr round 4 (radius: 15)
[00:02:15 -7303.435965] FAST spr round 5 (radius: 15)
[00:02:17 -7303.435782] Model parameter optimization (eps = 1.000000)
[00:02:18 -7302.392303] SLOW spr round 1 (radius: 5)
[00:02:22 -7302.391323] SLOW spr round 2 (radius: 10)
[00:02:27 -7302.391278] SLOW spr round 3 (radius: 15)
[00:02:33 -7302.391275] SLOW spr round 4 (radius: 20)
[00:02:38 -7302.391275] SLOW spr round 5 (radius: 25)
[00:02:40 -7302.391275] Model parameter optimization (eps = 0.100000)

[00:02:40] [worker #0] ML tree search #5, logLikelihood: -7302.391244

[00:02:40 -21732.965625] Initial branch length optimization
[00:02:40 -17396.108591] Model parameter optimization (eps = 10.000000)
[00:02:44 -17345.378919] AUTODETECT spr round 1 (radius: 5)
[00:02:46 -10790.435502] AUTODETECT spr round 2 (radius: 10)
[00:02:49 -8295.636985] AUTODETECT spr round 3 (radius: 15)
[00:02:53 -7958.244510] AUTODETECT spr round 4 (radius: 20)
[00:02:56 -7957.121473] AUTODETECT spr round 5 (radius: 25)
[00:02:58 -7957.119876] SPR radius for FAST iterations: 20 (autodetect)
[00:02:58 -7957.119876] Model parameter optimization (eps = 3.000000)
[00:03:02 -7941.761475] FAST spr round 1 (radius: 20)
[00:03:04] [worker #1] ML tree search #6, logLikelihood: -7304.887632
[00:03:05 -7350.184702] FAST spr round 2 (radius: 20)
[00:03:08 -7322.796552] FAST spr round 3 (radius: 20)
[00:03:09 -7311.574295] FAST spr round 4 (radius: 20)
[00:03:11 -7307.285078] FAST spr round 5 (radius: 20)
[00:03:13 -7306.435070] FAST spr round 6 (radius: 20)
[00:03:15 -7305.914002] FAST spr round 7 (radius: 20)
[00:03:16 -7305.913993] Model parameter optimization (eps = 1.000000)
[00:03:18 -7304.028769] SLOW spr round 1 (radius: 5)
[00:03:22 -7303.572201] SLOW spr round 2 (radius: 5)
[00:03:26 -7303.571325] SLOW spr round 3 (radius: 10)
[00:03:30 -7303.571249] SLOW spr round 4 (radius: 15)
[00:03:36 -7303.571241] SLOW spr round 5 (radius: 20)
[00:03:41 -7303.571240] SLOW spr round 6 (radius: 25)
[00:03:44 -7303.571240] Model parameter optimization (eps = 0.100000)

[00:03:45] [worker #0] ML tree search #7, logLikelihood: -7303.554503

[00:03:45 -21850.891144] Initial branch length optimization
[00:03:45 -17525.291468] Model parameter optimization (eps = 10.000000)
[00:03:48 -17483.067142] AUTODETECT spr round 1 (radius: 5)
[00:03:50 -11735.387829] AUTODETECT spr round 2 (radius: 10)
[00:03:53 -9337.692125] AUTODETECT spr round 3 (radius: 15)
[00:03:57 -8128.009004] AUTODETECT spr round 4 (radius: 20)
[00:04:00 -8110.897277] AUTODETECT spr round 5 (radius: 25)
[00:04:02] [worker #1] ML tree search #8, logLikelihood: -7302.987541
[00:04:02 -8110.832220] SPR radius for FAST iterations: 20 (autodetect)
[00:04:02 -8110.832220] Model parameter optimization (eps = 3.000000)
[00:04:05 -8092.545069] FAST spr round 1 (radius: 20)
[00:04:08 -7361.364514] FAST spr round 2 (radius: 20)
[00:04:10 -7310.794011] FAST spr round 3 (radius: 20)
[00:04:12 -7310.793992] Model parameter optimization (eps = 1.000000)
[00:04:14 -7307.129249] SLOW spr round 1 (radius: 5)
[00:04:19 -7304.972222] SLOW spr round 2 (radius: 5)
[00:04:23 -7304.936714] SLOW spr round 3 (radius: 10)
[00:04:27 -7304.934687] SLOW spr round 4 (radius: 15)
[00:04:33 -7304.934537] SLOW spr round 5 (radius: 20)
[00:04:37 -7304.934524] SLOW spr round 6 (radius: 25)
[00:04:40 -7304.934523] Model parameter optimization (eps = 0.100000)

[00:04:41] [worker #0] ML tree search #9, logLikelihood: -7304.883658

[00:04:41 -22277.647444] Initial branch length optimization
[00:04:41 -17582.821854] Model parameter optimization (eps = 10.000000)
[00:04:44 -17548.348194] AUTODETECT spr round 1 (radius: 5)
[00:04:47 -10844.754547] AUTODETECT spr round 2 (radius: 10)
[00:04:49 -9211.499610] AUTODETECT spr round 3 (radius: 15)
[00:04:53 -8239.536756] AUTODETECT spr round 4 (radius: 20)
[00:04:56 -7801.179564] AUTODETECT spr round 5 (radius: 25)
[00:04:58 -7801.172978] SPR radius for FAST iterations: 20 (autodetect)
[00:04:58 -7801.172978] Model parameter optimization (eps = 3.000000)
[00:05:00] [worker #1] ML tree search #10, logLikelihood: -7302.394733
[00:05:01 -7784.949209] FAST spr round 1 (radius: 20)
[00:05:04 -7345.532533] FAST spr round 2 (radius: 20)
[00:05:07 -7309.614403] FAST spr round 3 (radius: 20)
[00:05:09 -7307.027735] FAST spr round 4 (radius: 20)
[00:05:10 -7306.216822] FAST spr round 5 (radius: 20)
[00:05:12 -7306.216782] Model parameter optimization (eps = 1.000000)
[00:05:14 -7305.175128] SLOW spr round 1 (radius: 5)
[00:05:18 -7304.887950] SLOW spr round 2 (radius: 5)
[00:05:22 -7304.886022] SLOW spr round 3 (radius: 10)
[00:05:26 -7304.885843] SLOW spr round 4 (radius: 15)
[00:05:32 -7304.885825] SLOW spr round 5 (radius: 20)
[00:05:37 -7304.885823] SLOW spr round 6 (radius: 25)
[00:05:40 -7304.885823] Model parameter optimization (eps = 0.100000)

[00:05:40] [worker #0] ML tree search #11, logLikelihood: -7304.882658

[00:05:40 -21839.592397] Initial branch length optimization
[00:05:40 -17278.037735] Model parameter optimization (eps = 10.000000)
[00:05:44 -17244.237149] AUTODETECT spr round 1 (radius: 5)
[00:05:47 -10608.862547] AUTODETECT spr round 2 (radius: 10)
[00:05:50 -8041.256164] AUTODETECT spr round 3 (radius: 15)
[00:05:53 -8030.598453] AUTODETECT spr round 4 (radius: 20)
[00:05:56] [worker #1] ML tree search #12, logLikelihood: -7303.101218
[00:05:57 -8030.575167] SPR radius for FAST iterations: 15 (autodetect)
[00:05:57 -8030.575167] Model parameter optimization (eps = 3.000000)
[00:05:59 -8020.654615] FAST spr round 1 (radius: 15)
[00:06:02 -7320.477792] FAST spr round 2 (radius: 15)
[00:06:04 -7305.659929] FAST spr round 3 (radius: 15)
[00:06:06 -7305.027653] FAST spr round 4 (radius: 15)
[00:06:08 -7305.024657] Model parameter optimization (eps = 1.000000)
[00:06:09 -7303.547315] SLOW spr round 1 (radius: 5)
[00:06:14 -7303.101028] SLOW spr round 2 (radius: 5)
[00:06:17 -7303.100755] SLOW spr round 3 (radius: 10)
[00:06:22 -7303.100746] SLOW spr round 4 (radius: 15)
[00:06:28 -7303.100745] SLOW spr round 5 (radius: 20)
[00:06:32 -7303.100744] SLOW spr round 6 (radius: 25)
[00:06:35 -7303.100744] Model parameter optimization (eps = 0.100000)

[00:06:35] [worker #0] ML tree search #13, logLikelihood: -7303.098523

[00:06:35 -21184.975019] Initial branch length optimization
[00:06:35 -16891.626334] Model parameter optimization (eps = 10.000000)
[00:06:38 -16829.842450] AUTODETECT spr round 1 (radius: 5)
[00:06:40 -11602.117096] AUTODETECT spr round 2 (radius: 10)
[00:06:44 -7911.650944] AUTODETECT spr round 3 (radius: 15)
[00:06:47 -7727.909099] AUTODETECT spr round 4 (radius: 20)
[00:06:50] [worker #1] ML tree search #14, logLikelihood: -7304.480115
[00:06:50 -7727.892015] SPR radius for FAST iterations: 15 (autodetect)
[00:06:50 -7727.892015] Model parameter optimization (eps = 3.000000)
[00:06:53 -7713.189751] FAST spr round 1 (radius: 15)
[00:06:56 -7351.747538] FAST spr round 2 (radius: 15)
[00:06:59 -7305.919202] FAST spr round 3 (radius: 15)
[00:07:01 -7304.638305] FAST spr round 4 (radius: 15)
[00:07:02 -7304.637541] Model parameter optimization (eps = 1.000000)
[00:07:04 -7303.314950] SLOW spr round 1 (radius: 5)
[00:07:08 -7302.451021] SLOW spr round 2 (radius: 5)
[00:07:12 -7302.450086] SLOW spr round 3 (radius: 10)
[00:07:16 -7302.450035] SLOW spr round 4 (radius: 15)
[00:07:22 -7302.450029] SLOW spr round 5 (radius: 20)
[00:07:27 -7302.450029] SLOW spr round 6 (radius: 25)
[00:07:29 -7302.450029] Model parameter optimization (eps = 0.100000)

[00:07:30] [worker #0] ML tree search #15, logLikelihood: -7302.404179

[00:07:30 -21689.576614] Initial branch length optimization
[00:07:30 -17120.986882] Model parameter optimization (eps = 10.000000)
[00:07:34 -17079.798397] AUTODETECT spr round 1 (radius: 5)
[00:07:36 -11840.327085] AUTODETECT spr round 2 (radius: 10)
[00:07:39 -8981.548823] AUTODETECT spr round 3 (radius: 15)
[00:07:42 -8215.851366] AUTODETECT spr round 4 (radius: 20)
[00:07:44 -8210.985585] AUTODETECT spr round 5 (radius: 25)
[00:07:46 -8210.968262] SPR radius for FAST iterations: 20 (autodetect)
[00:07:46 -8210.968262] Model parameter optimization (eps = 3.000000)
[00:07:47] [worker #1] ML tree search #16, logLikelihood: -7302.399852
[00:07:49 -8184.534495] FAST spr round 1 (radius: 20)
[00:07:52 -7336.392611] FAST spr round 2 (radius: 20)
[00:07:54 -7316.643314] FAST spr round 3 (radius: 20)
[00:07:56 -7306.691064] FAST spr round 4 (radius: 20)
[00:07:58 -7306.689154] Model parameter optimization (eps = 1.000000)
[00:08:00 -7303.663954] SLOW spr round 1 (radius: 5)
[00:08:04 -7303.131037] SLOW spr round 2 (radius: 5)
[00:08:08 -7303.130401] SLOW spr round 3 (radius: 10)
[00:08:12 -7303.130346] SLOW spr round 4 (radius: 15)
[00:08:18 -7303.130338] SLOW spr round 5 (radius: 20)
[00:08:23 -7303.130337] SLOW spr round 6 (radius: 25)
[00:08:26 -7303.130337] Model parameter optimization (eps = 0.100000)

[00:08:26] [worker #0] ML tree search #17, logLikelihood: -7303.099190

[00:08:26 -21829.989339] Initial branch length optimization
[00:08:27 -17370.312428] Model parameter optimization (eps = 10.000000)
[00:08:30 -17296.636059] AUTODETECT spr round 1 (radius: 5)
[00:08:32 -11050.379429] AUTODETECT spr round 2 (radius: 10)
[00:08:35 -7936.015200] AUTODETECT spr round 3 (radius: 15)
[00:08:39 -7553.280483] AUTODETECT spr round 4 (radius: 20)
[00:08:41 -7553.265764] SPR radius for FAST iterations: 15 (autodetect)
[00:08:41 -7553.265764] Model parameter optimization (eps = 3.000000)
[00:08:43 -7525.840244] FAST spr round 1 (radius: 15)
[00:08:45] [worker #1] ML tree search #18, logLikelihood: -7303.100903
[00:08:46 -7319.382724] FAST spr round 2 (radius: 15)
[00:08:48 -7307.442419] FAST spr round 3 (radius: 15)
[00:08:50 -7306.164094] FAST spr round 4 (radius: 15)
[00:08:51 -7306.163532] Model parameter optimization (eps = 1.000000)
[00:08:53 -7305.332974] SLOW spr round 1 (radius: 5)
[00:08:57 -7303.385339] SLOW spr round 2 (radius: 5)
[00:09:01 -7303.382838] SLOW spr round 3 (radius: 10)
[00:09:05 -7303.382664] SLOW spr round 4 (radius: 15)
[00:09:11 -7303.382652] SLOW spr round 5 (radius: 20)
[00:09:16 -7303.382651] SLOW spr round 6 (radius: 25)
[00:09:18 -7303.382651] Model parameter optimization (eps = 0.100000)

[00:09:19] [worker #0] ML tree search #19, logLikelihood: -7303.100144

[00:09:42] [worker #1] ML tree search #20, logLikelihood: -7302.392126

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.180562,0.405959) (0.239090,0.586532) (0.380133,1.073405) (0.200215,1.890111) 
   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: -7302.391244

AIC score: 15022.782488 / AICc score: 102802.782488 / BIC score: 15587.182884
Free parameters (model + branch lengths): 209

WARNING: Number of free parameters (K=209) is larger than alignment size (n=110).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B6SEH8/3_mltree/B6SEH8.raxml.log

Analysis started: 01-Jul-2021 16:28:06 / finished: 01-Jul-2021 16:37:49

Elapsed time: 582.718 seconds