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 07-Jul-2021 14:48:53 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/2_msa/Q8N7Z2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/3_mltree/Q8N7Z2 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/2_msa/Q8N7Z2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 185 taxa and 50 sites

WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_G3RPF2_G3RPF2_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_H2PTI6_H2PTI6_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A2I3SXA8_A0A2I3SXA8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and sp_Q08379_GOGA2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A1D5RE25_A0A1D5RE25_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A096P0L6_A0A096P0L6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A0D9RNN4_A0A0D9RNN4_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A2K5KNR9_A0A2K5KNR9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A2K6BPU3_A0A2K6BPU3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A2K5YQ72_A0A2K5YQ72_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3H6W5_A0A2I3H6W5_NOMLE_61853 and tr_A0A2R9C051_A0A2R9C051_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2NPE4_H2NPE4_PONAB_9601 and tr_H2PUN3_H2PUN3_PONAB_9601 are exactly identical!
WARNING: Sequences tr_H2R8A4_H2R8A4_PANTR_9598 and tr_A0A2R9BI64_A0A2R9BI64_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5PM56_W5PM56_SHEEP_9940 and tr_E1BLT0_E1BLT0_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A0M3HER8_A0A0M3HER8_HUMAN_9606 and sp_A6NI86_GG6LA_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0M3HER8_A0A0M3HER8_HUMAN_9606 and sp_H0YKK7_GG6LS_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_A6NCC3_GOG8O_HUMAN_9606 and sp_F8WBI6_GOG8N_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_A6NCC3_GOG8O_HUMAN_9606 and sp_H3BV12_GOG8Q_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_A8MZA4_GG6L6_HUMAN_9606 and sp_H0YM25_GG6LV_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_A8MZA4_GG6L6_HUMAN_9606 and sp_Q8N7Z2_GG6L1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F7FY29_F7FY29_MACMU_9544 and tr_A0A096NMT3_A0A096NMT3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GSY8_F7GSY8_MACMU_9544 and tr_A0A0D9RMY7_A0A0D9RMY7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A151MFR7_A0A151MFR7_ALLMI_8496 and tr_A0A1U7RJD2_A0A1U7RJD2_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A2D0QAY5_A0A2D0QAY5_ICTPU_7998 and tr_A0A2D0QC37_A0A2D0QC37_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 24

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/Q8N7Z2/3_mltree/Q8N7Z2.raxml.reduced.phy

Alignment comprises 1 partitions and 50 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 50 / 50
Gaps: 5.44 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/3_mltree/Q8N7Z2.raxml.rba

Parallelization scheme autoconfig: 1 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 185 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 50 / 4000
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -14247.747468] Initial branch length optimization
[00:00:00 -11795.065314] Model parameter optimization (eps = 10.000000)
[00:00:02 -11752.127723] AUTODETECT spr round 1 (radius: 5)
[00:00:04 -8880.275255] AUTODETECT spr round 2 (radius: 10)
[00:00:08 -6853.948309] AUTODETECT spr round 3 (radius: 15)
[00:00:12 -6193.999256] AUTODETECT spr round 4 (radius: 20)
[00:00:16 -6175.341559] AUTODETECT spr round 5 (radius: 25)
[00:00:19 -6163.694361] SPR radius for FAST iterations: 25 (autodetect)
[00:00:19 -6163.694361] Model parameter optimization (eps = 3.000000)
[00:00:21 -6145.403648] FAST spr round 1 (radius: 25)
[00:00:24 -5673.858003] FAST spr round 2 (radius: 25)
[00:00:27 -5612.777958] FAST spr round 3 (radius: 25)
[00:00:30 -5605.278165] FAST spr round 4 (radius: 25)
[00:00:32 -5604.583169] FAST spr round 5 (radius: 25)
[00:00:34 -5604.582584] Model parameter optimization (eps = 1.000000)
[00:00:36 -5603.664396] SLOW spr round 1 (radius: 5)
[00:00:40 -5603.331701] SLOW spr round 2 (radius: 5)
[00:00:44 -5603.331344] SLOW spr round 3 (radius: 10)
[00:00:48 -5603.205325] SLOW spr round 4 (radius: 5)
[00:00:54 -5603.203489] SLOW spr round 5 (radius: 10)
[00:00:58 -5603.181458] SLOW spr round 6 (radius: 15)
[00:01:04 -5603.181443] SLOW spr round 7 (radius: 20)
[00:01:09 -5603.181443] SLOW spr round 8 (radius: 25)
[00:01:14 -5603.181443] Model parameter optimization (eps = 0.100000)

[00:01:15] ML tree search #1, logLikelihood: -5603.168780

[00:01:15 -14293.025013] Initial branch length optimization
[00:01:15 -11807.460272] Model parameter optimization (eps = 10.000000)
[00:01:18 -11744.475682] AUTODETECT spr round 1 (radius: 5)
[00:01:20 -8292.059612] AUTODETECT spr round 2 (radius: 10)
[00:01:24 -6385.927176] AUTODETECT spr round 3 (radius: 15)
[00:01:27 -6112.256411] AUTODETECT spr round 4 (radius: 20)
[00:01:31 -6110.529885] AUTODETECT spr round 5 (radius: 25)
[00:01:35 -6110.502308] SPR radius for FAST iterations: 20 (autodetect)
[00:01:35 -6110.502308] Model parameter optimization (eps = 3.000000)
[00:01:38 -6065.631218] FAST spr round 1 (radius: 20)
[00:01:41 -5677.195835] FAST spr round 2 (radius: 20)
[00:01:44 -5612.440654] FAST spr round 3 (radius: 20)
[00:01:46 -5610.446794] FAST spr round 4 (radius: 20)
[00:01:49 -5610.446736] Model parameter optimization (eps = 1.000000)
[00:01:50 -5607.629075] SLOW spr round 1 (radius: 5)
[00:01:55 -5607.628563] SLOW spr round 2 (radius: 10)
[00:01:58 -5607.628413] SLOW spr round 3 (radius: 15)
[00:02:04 -5607.628308] SLOW spr round 4 (radius: 20)
[00:02:09 -5607.628234] SLOW spr round 5 (radius: 25)
[00:02:15 -5605.431682] SLOW spr round 6 (radius: 5)
[00:02:21 -5604.803876] SLOW spr round 7 (radius: 5)
[00:02:27 -5602.199831] SLOW spr round 8 (radius: 5)
[00:02:32 -5600.966009] SLOW spr round 9 (radius: 5)
[00:02:36 -5599.361926] SLOW spr round 10 (radius: 5)
[00:02:40 -5599.361806] SLOW spr round 11 (radius: 10)
[00:02:44 -5599.361798] SLOW spr round 12 (radius: 15)
[00:02:50 -5599.361797] SLOW spr round 13 (radius: 20)
[00:02:56 -5599.361797] SLOW spr round 14 (radius: 25)
[00:03:01 -5599.361797] Model parameter optimization (eps = 0.100000)

[00:03:02] ML tree search #2, logLikelihood: -5599.294091

[00:03:02 -14104.041516] Initial branch length optimization
[00:03:02 -11724.658717] Model parameter optimization (eps = 10.000000)
[00:03:06 -11688.298083] AUTODETECT spr round 1 (radius: 5)
[00:03:08 -8820.828518] AUTODETECT spr round 2 (radius: 10)
[00:03:12 -6632.826113] AUTODETECT spr round 3 (radius: 15)
[00:03:17 -6155.995975] AUTODETECT spr round 4 (radius: 20)
[00:03:21 -6125.192594] AUTODETECT spr round 5 (radius: 25)
[00:03:25 -6122.067507] SPR radius for FAST iterations: 25 (autodetect)
[00:03:25 -6122.067507] Model parameter optimization (eps = 3.000000)
[00:03:27 -6103.063809] FAST spr round 1 (radius: 25)
[00:03:30 -5671.040201] FAST spr round 2 (radius: 25)
[00:03:33 -5623.114257] FAST spr round 3 (radius: 25)
[00:03:35 -5611.468955] FAST spr round 4 (radius: 25)
[00:03:38 -5608.824700] FAST spr round 5 (radius: 25)
[00:03:40 -5606.382161] FAST spr round 6 (radius: 25)
[00:03:42 -5606.381862] Model parameter optimization (eps = 1.000000)
[00:03:44 -5604.843426] SLOW spr round 1 (radius: 5)
[00:03:49 -5601.658218] SLOW spr round 2 (radius: 5)
[00:03:53 -5601.658094] SLOW spr round 3 (radius: 10)
[00:03:57 -5601.658091] SLOW spr round 4 (radius: 15)
[00:04:03 -5601.658091] SLOW spr round 5 (radius: 20)
[00:04:08 -5601.658091] SLOW spr round 6 (radius: 25)
[00:04:13 -5599.425334] SLOW spr round 7 (radius: 5)
[00:04:20 -5599.424330] SLOW spr round 8 (radius: 10)
[00:04:25 -5599.424248] SLOW spr round 9 (radius: 15)
[00:04:31 -5599.424227] SLOW spr round 10 (radius: 20)
[00:04:37 -5599.424223] SLOW spr round 11 (radius: 25)
[00:04:42 -5599.424222] Model parameter optimization (eps = 0.100000)

[00:04:43] ML tree search #3, logLikelihood: -5599.407843

[00:04:43 -14021.030075] Initial branch length optimization
[00:04:43 -11658.301823] Model parameter optimization (eps = 10.000000)
[00:04:46 -11607.777429] AUTODETECT spr round 1 (radius: 5)
[00:04:49 -8473.287958] AUTODETECT spr round 2 (radius: 10)
[00:04:52 -6734.560849] AUTODETECT spr round 3 (radius: 15)
[00:04:56 -6314.500321] AUTODETECT spr round 4 (radius: 20)
[00:04:59 -6268.115624] AUTODETECT spr round 5 (radius: 25)
[00:05:03 -6160.966027] SPR radius for FAST iterations: 25 (autodetect)
[00:05:03 -6160.966027] Model parameter optimization (eps = 3.000000)
[00:05:05 -6150.132085] FAST spr round 1 (radius: 25)
[00:05:09 -5654.181666] FAST spr round 2 (radius: 25)
[00:05:12 -5610.934495] FAST spr round 3 (radius: 25)
[00:05:15 -5608.581430] FAST spr round 4 (radius: 25)
[00:05:17 -5604.061079] FAST spr round 5 (radius: 25)
[00:05:20 -5603.691867] FAST spr round 6 (radius: 25)
[00:05:22 -5603.691185] Model parameter optimization (eps = 1.000000)
[00:05:24 -5601.332266] SLOW spr round 1 (radius: 5)
[00:05:29 -5596.212426] SLOW spr round 2 (radius: 5)
[00:05:33 -5594.870940] SLOW spr round 3 (radius: 5)
[00:05:37 -5594.870922] SLOW spr round 4 (radius: 10)
[00:05:41 -5594.870922] SLOW spr round 5 (radius: 15)
[00:05:47 -5594.870922] SLOW spr round 6 (radius: 20)
[00:05:51 -5594.870922] SLOW spr round 7 (radius: 25)
[00:05:56 -5594.870922] Model parameter optimization (eps = 0.100000)

[00:05:56] ML tree search #4, logLikelihood: -5594.785630

[00:05:56 -14138.589595] Initial branch length optimization
[00:05:57 -11845.419522] Model parameter optimization (eps = 10.000000)
[00:06:00 -11769.650452] AUTODETECT spr round 1 (radius: 5)
[00:06:03 -8576.315758] AUTODETECT spr round 2 (radius: 10)
[00:06:07 -6621.410179] AUTODETECT spr round 3 (radius: 15)
[00:06:11 -6265.069745] AUTODETECT spr round 4 (radius: 20)
[00:06:15 -6238.979952] AUTODETECT spr round 5 (radius: 25)
[00:06:18 -6226.817944] SPR radius for FAST iterations: 25 (autodetect)
[00:06:19 -6226.817944] Model parameter optimization (eps = 3.000000)
[00:06:22 -6213.339471] FAST spr round 1 (radius: 25)
[00:06:25 -5674.042804] FAST spr round 2 (radius: 25)
[00:06:28 -5621.257844] FAST spr round 3 (radius: 25)
[00:06:31 -5615.085950] FAST spr round 4 (radius: 25)
[00:06:33 -5615.084548] Model parameter optimization (eps = 1.000000)
[00:06:35 -5613.970126] SLOW spr round 1 (radius: 5)
[00:06:39 -5613.063681] SLOW spr round 2 (radius: 5)
[00:06:44 -5613.061991] SLOW spr round 3 (radius: 10)
[00:06:47 -5612.903400] SLOW spr round 4 (radius: 5)
[00:06:53 -5612.903316] SLOW spr round 5 (radius: 10)
[00:06:57 -5612.903313] SLOW spr round 6 (radius: 15)
[00:07:04 -5612.903313] SLOW spr round 7 (radius: 20)
[00:07:09 -5612.903313] SLOW spr round 8 (radius: 25)
[00:07:14 -5612.903313] Model parameter optimization (eps = 0.100000)

[00:07:15] ML tree search #5, logLikelihood: -5612.881824

[00:07:15 -14281.142930] Initial branch length optimization
[00:07:15 -11724.437958] Model parameter optimization (eps = 10.000000)
[00:07:18 -11671.548573] AUTODETECT spr round 1 (radius: 5)
[00:07:20 -8148.167148] AUTODETECT spr round 2 (radius: 10)
[00:07:23 -6930.227389] AUTODETECT spr round 3 (radius: 15)
[00:07:27 -6127.463430] AUTODETECT spr round 4 (radius: 20)
[00:07:32 -6123.252193] AUTODETECT spr round 5 (radius: 25)
[00:07:35 -6122.281024] SPR radius for FAST iterations: 25 (autodetect)
[00:07:35 -6122.281024] Model parameter optimization (eps = 3.000000)
[00:07:38 -6107.868156] FAST spr round 1 (radius: 25)
[00:07:41 -5650.128347] FAST spr round 2 (radius: 25)
[00:07:44 -5610.357445] FAST spr round 3 (radius: 25)
[00:07:47 -5605.545174] FAST spr round 4 (radius: 25)
[00:07:49 -5605.545162] Model parameter optimization (eps = 1.000000)
[00:07:51 -5604.082846] SLOW spr round 1 (radius: 5)
[00:07:55 -5601.521680] SLOW spr round 2 (radius: 5)
[00:08:00 -5600.742580] SLOW spr round 3 (radius: 5)
[00:08:04 -5600.742573] SLOW spr round 4 (radius: 10)
[00:08:07 -5598.367006] SLOW spr round 5 (radius: 5)
[00:08:13 -5598.366544] SLOW spr round 6 (radius: 10)
[00:08:18 -5598.366542] SLOW spr round 7 (radius: 15)
[00:08:24 -5598.366542] SLOW spr round 8 (radius: 20)
[00:08:31 -5598.366542] SLOW spr round 9 (radius: 25)
[00:08:36 -5598.366542] Model parameter optimization (eps = 0.100000)

[00:08:37] ML tree search #6, logLikelihood: -5598.317368

[00:08:37 -14193.212595] Initial branch length optimization
[00:08:37 -11762.522667] Model parameter optimization (eps = 10.000000)
[00:08:42 -11707.038162] AUTODETECT spr round 1 (radius: 5)
[00:08:44 -8227.729101] AUTODETECT spr round 2 (radius: 10)
[00:08:48 -6798.639817] AUTODETECT spr round 3 (radius: 15)
[00:08:51 -6429.472651] AUTODETECT spr round 4 (radius: 20)
[00:08:55 -6321.583955] AUTODETECT spr round 5 (radius: 25)
[00:08:59 -6250.223193] SPR radius for FAST iterations: 25 (autodetect)
[00:08:59 -6250.223193] Model parameter optimization (eps = 3.000000)
[00:09:02 -6217.555453] FAST spr round 1 (radius: 25)
[00:09:06 -5627.531966] FAST spr round 2 (radius: 25)
[00:09:09 -5610.004742] FAST spr round 3 (radius: 25)
[00:09:11 -5605.315591] FAST spr round 4 (radius: 25)
[00:09:14 -5604.552782] FAST spr round 5 (radius: 25)
[00:09:16 -5604.044201] FAST spr round 6 (radius: 25)
[00:09:18 -5603.472079] FAST spr round 7 (radius: 25)
[00:09:21 -5603.471979] Model parameter optimization (eps = 1.000000)
[00:09:23 -5600.676105] SLOW spr round 1 (radius: 5)
[00:09:27 -5598.361453] SLOW spr round 2 (radius: 5)
[00:09:32 -5598.102907] SLOW spr round 3 (radius: 5)
[00:09:36 -5598.102896] SLOW spr round 4 (radius: 10)
[00:09:40 -5598.102895] SLOW spr round 5 (radius: 15)
[00:09:46 -5597.987765] SLOW spr round 6 (radius: 5)
[00:09:52 -5597.161394] SLOW spr round 7 (radius: 5)
[00:09:58 -5597.161278] SLOW spr round 8 (radius: 10)
[00:10:02 -5597.161275] SLOW spr round 9 (radius: 15)
[00:10:07 -5597.161275] SLOW spr round 10 (radius: 20)
[00:10:13 -5597.161275] SLOW spr round 11 (radius: 25)
[00:10:18 -5597.161275] Model parameter optimization (eps = 0.100000)

[00:10:19] ML tree search #7, logLikelihood: -5596.918752

[00:10:19 -14135.282215] Initial branch length optimization
[00:10:19 -11672.494217] Model parameter optimization (eps = 10.000000)
[00:10:22 -11620.017141] AUTODETECT spr round 1 (radius: 5)
[00:10:24 -8568.558076] AUTODETECT spr round 2 (radius: 10)
[00:10:28 -6806.530075] AUTODETECT spr round 3 (radius: 15)
[00:10:32 -6376.589995] AUTODETECT spr round 4 (radius: 20)
[00:10:36 -6197.530425] AUTODETECT spr round 5 (radius: 25)
[00:10:39 -6196.432129] SPR radius for FAST iterations: 25 (autodetect)
[00:10:39 -6196.432129] Model parameter optimization (eps = 3.000000)
[00:10:41 -6183.180547] FAST spr round 1 (radius: 25)
[00:10:45 -5667.664309] FAST spr round 2 (radius: 25)
[00:10:48 -5620.006894] FAST spr round 3 (radius: 25)
[00:10:50 -5620.002860] Model parameter optimization (eps = 1.000000)
[00:10:52 -5618.341179] SLOW spr round 1 (radius: 5)
[00:10:56 -5618.270726] SLOW spr round 2 (radius: 10)
[00:11:00 -5617.062192] SLOW spr round 3 (radius: 5)
[00:11:06 -5613.065896] SLOW spr round 4 (radius: 5)
[00:11:11 -5613.065800] SLOW spr round 5 (radius: 10)
[00:11:15 -5613.065791] SLOW spr round 6 (radius: 15)
[00:11:21 -5613.065790] SLOW spr round 7 (radius: 20)
[00:11:26 -5613.065790] SLOW spr round 8 (radius: 25)
[00:11:31 -5613.065790] Model parameter optimization (eps = 0.100000)

[00:11:31] ML tree search #8, logLikelihood: -5612.994704

[00:11:31 -14340.139057] Initial branch length optimization
[00:11:31 -11739.716467] Model parameter optimization (eps = 10.000000)
[00:11:35 -11679.316711] AUTODETECT spr round 1 (radius: 5)
[00:11:37 -8585.981320] AUTODETECT spr round 2 (radius: 10)
[00:11:41 -6827.557007] AUTODETECT spr round 3 (radius: 15)
[00:11:46 -6218.309924] AUTODETECT spr round 4 (radius: 20)
[00:11:50 -6206.827824] AUTODETECT spr round 5 (radius: 25)
[00:11:54 -6206.819427] SPR radius for FAST iterations: 20 (autodetect)
[00:11:54 -6206.819427] Model parameter optimization (eps = 3.000000)
[00:11:56 -6162.888825] FAST spr round 1 (radius: 20)
[00:12:00 -5710.619891] FAST spr round 2 (radius: 20)
[00:12:03 -5643.172160] FAST spr round 3 (radius: 20)
[00:12:07 -5624.441724] FAST spr round 4 (radius: 20)
[00:12:09 -5622.591681] FAST spr round 5 (radius: 20)
[00:12:12 -5622.146465] FAST spr round 6 (radius: 20)
[00:12:14 -5622.146280] Model parameter optimization (eps = 1.000000)
[00:12:15 -5618.705289] SLOW spr round 1 (radius: 5)
[00:12:20 -5616.884387] SLOW spr round 2 (radius: 5)
[00:12:24 -5615.846829] SLOW spr round 3 (radius: 5)
[00:12:28 -5615.845274] SLOW spr round 4 (radius: 10)
[00:12:32 -5613.124756] SLOW spr round 5 (radius: 5)
[00:12:38 -5611.306438] SLOW spr round 6 (radius: 5)
[00:12:43 -5611.306436] SLOW spr round 7 (radius: 10)
[00:12:47 -5611.306436] SLOW spr round 8 (radius: 15)
[00:12:52 -5611.306436] SLOW spr round 9 (radius: 20)
[00:12:58 -5611.306436] SLOW spr round 10 (radius: 25)
[00:13:03 -5611.306436] Model parameter optimization (eps = 0.100000)

[00:13:04] ML tree search #9, logLikelihood: -5611.283704

[00:13:04 -14317.258843] Initial branch length optimization
[00:13:04 -11781.294726] Model parameter optimization (eps = 10.000000)
[00:13:08 -11730.651912] AUTODETECT spr round 1 (radius: 5)
[00:13:10 -8669.344253] AUTODETECT spr round 2 (radius: 10)
[00:13:14 -6522.052030] AUTODETECT spr round 3 (radius: 15)
[00:13:17 -6196.227836] AUTODETECT spr round 4 (radius: 20)
[00:13:21 -6169.568322] AUTODETECT spr round 5 (radius: 25)
[00:13:24 -6164.976797] SPR radius for FAST iterations: 25 (autodetect)
[00:13:24 -6164.976797] Model parameter optimization (eps = 3.000000)
[00:13:26 -6148.218113] FAST spr round 1 (radius: 25)
[00:13:29 -5643.605345] FAST spr round 2 (radius: 25)
[00:13:32 -5606.410254] FAST spr round 3 (radius: 25)
[00:13:35 -5599.889779] FAST spr round 4 (radius: 25)
[00:13:37 -5599.345252] FAST spr round 5 (radius: 25)
[00:13:40 -5598.500684] FAST spr round 6 (radius: 25)
[00:13:42 -5598.500532] Model parameter optimization (eps = 1.000000)
[00:13:43 -5597.388502] SLOW spr round 1 (radius: 5)
[00:13:48 -5595.042440] SLOW spr round 2 (radius: 5)
[00:13:52 -5595.042282] SLOW spr round 3 (radius: 10)
[00:13:56 -5594.185313] SLOW spr round 4 (radius: 5)
[00:14:02 -5594.185234] SLOW spr round 5 (radius: 10)
[00:14:06 -5594.185234] SLOW spr round 6 (radius: 15)
[00:14:12 -5592.431273] SLOW spr round 7 (radius: 5)
[00:14:18 -5592.430068] SLOW spr round 8 (radius: 10)
[00:14:23 -5592.430068] SLOW spr round 9 (radius: 15)
[00:14:29 -5592.430068] SLOW spr round 10 (radius: 20)
[00:14:34 -5592.129668] SLOW spr round 11 (radius: 5)
[00:14:40 -5591.775955] SLOW spr round 12 (radius: 5)
[00:14:45 -5591.775843] SLOW spr round 13 (radius: 10)
[00:14:49 -5591.775843] SLOW spr round 14 (radius: 15)
[00:14:55 -5591.775843] SLOW spr round 15 (radius: 20)
[00:15:00 -5591.775843] SLOW spr round 16 (radius: 25)
[00:15:04 -5591.775843] Model parameter optimization (eps = 0.100000)

[00:15:05] ML tree search #10, logLikelihood: -5591.571751

[00:15:05 -14139.443417] Initial branch length optimization
[00:15:05 -11685.967423] Model parameter optimization (eps = 10.000000)
[00:15:08 -11640.214121] AUTODETECT spr round 1 (radius: 5)
[00:15:11 -8287.172349] AUTODETECT spr round 2 (radius: 10)
[00:15:14 -6496.063762] AUTODETECT spr round 3 (radius: 15)
[00:15:18 -6140.364454] AUTODETECT spr round 4 (radius: 20)
[00:15:23 -6134.770032] AUTODETECT spr round 5 (radius: 25)
[00:15:27 -6125.827831] SPR radius for FAST iterations: 25 (autodetect)
[00:15:27 -6125.827831] Model parameter optimization (eps = 3.000000)
[00:15:29 -6118.362367] FAST spr round 1 (radius: 25)
[00:15:32 -5677.706409] FAST spr round 2 (radius: 25)
[00:15:35 -5653.426710] FAST spr round 3 (radius: 25)
[00:15:38 -5648.960098] FAST spr round 4 (radius: 25)
[00:15:40 -5603.744073] FAST spr round 5 (radius: 25)
[00:15:42 -5603.743587] Model parameter optimization (eps = 1.000000)
[00:15:44 -5600.465539] SLOW spr round 1 (radius: 5)
[00:15:49 -5598.767093] SLOW spr round 2 (radius: 5)
[00:15:53 -5598.300601] SLOW spr round 3 (radius: 5)
[00:15:57 -5598.300445] SLOW spr round 4 (radius: 10)
[00:16:01 -5598.300439] SLOW spr round 5 (radius: 15)
[00:16:09 -5597.497815] SLOW spr round 6 (radius: 5)
[00:16:15 -5597.497573] SLOW spr round 7 (radius: 10)
[00:16:19 -5597.497568] SLOW spr round 8 (radius: 15)
[00:16:26 -5597.497568] SLOW spr round 9 (radius: 20)
[00:16:33 -5596.689170] SLOW spr round 10 (radius: 5)
[00:16:39 -5596.543068] SLOW spr round 11 (radius: 5)
[00:16:45 -5596.000047] SLOW spr round 12 (radius: 5)
[00:16:49 -5595.999600] SLOW spr round 13 (radius: 10)
[00:16:53 -5594.777970] SLOW spr round 14 (radius: 5)
[00:16:59 -5594.725905] SLOW spr round 15 (radius: 10)
[00:17:03 -5594.722901] SLOW spr round 16 (radius: 15)
[00:17:10 -5594.722900] SLOW spr round 17 (radius: 20)
[00:17:18 -5594.722900] SLOW spr round 18 (radius: 25)
[00:17:23 -5594.722900] Model parameter optimization (eps = 0.100000)

[00:17:25] ML tree search #11, logLikelihood: -5594.414990

[00:17:25 -14293.930936] Initial branch length optimization
[00:17:25 -11922.660262] Model parameter optimization (eps = 10.000000)
[00:17:28 -11879.557814] AUTODETECT spr round 1 (radius: 5)
[00:17:31 -8244.368759] AUTODETECT spr round 2 (radius: 10)
[00:17:34 -6723.270160] AUTODETECT spr round 3 (radius: 15)
[00:17:38 -6253.463318] AUTODETECT spr round 4 (radius: 20)
[00:17:41 -6249.698412] AUTODETECT spr round 5 (radius: 25)
[00:17:44 -6249.696444] SPR radius for FAST iterations: 20 (autodetect)
[00:17:44 -6249.696444] Model parameter optimization (eps = 3.000000)
[00:17:46 -6234.267607] FAST spr round 1 (radius: 20)
[00:17:49 -5821.190865] FAST spr round 2 (radius: 20)
[00:17:52 -5777.313467] FAST spr round 3 (radius: 20)
[00:17:55 -5759.746525] FAST spr round 4 (radius: 20)
[00:17:57 -5646.942600] FAST spr round 5 (radius: 20)
[00:18:00 -5602.925446] FAST spr round 6 (radius: 20)
[00:18:03 -5602.152744] FAST spr round 7 (radius: 20)
[00:18:05 -5602.152578] Model parameter optimization (eps = 1.000000)
[00:18:07 -5600.650065] SLOW spr round 1 (radius: 5)
[00:18:11 -5600.549650] SLOW spr round 2 (radius: 5)
[00:18:15 -5600.549372] SLOW spr round 3 (radius: 10)
[00:18:19 -5596.652718] SLOW spr round 4 (radius: 5)
[00:18:25 -5596.625850] SLOW spr round 5 (radius: 10)
[00:18:30 -5596.625658] SLOW spr round 6 (radius: 15)
[00:18:37 -5596.532322] SLOW spr round 7 (radius: 20)
[00:18:44 -5596.531580] SLOW spr round 8 (radius: 25)
[00:18:49 -5596.531487] Model parameter optimization (eps = 0.100000)

[00:18:50] ML tree search #12, logLikelihood: -5596.424348

[00:18:50 -14373.129563] Initial branch length optimization
[00:18:51 -11877.187334] Model parameter optimization (eps = 10.000000)
[00:18:54 -11823.934665] AUTODETECT spr round 1 (radius: 5)
[00:18:56 -8667.919225] AUTODETECT spr round 2 (radius: 10)
[00:19:00 -6641.377402] AUTODETECT spr round 3 (radius: 15)
[00:19:04 -6263.785911] AUTODETECT spr round 4 (radius: 20)
[00:19:08 -6150.083592] AUTODETECT spr round 5 (radius: 25)
[00:19:12 -6150.048231] SPR radius for FAST iterations: 20 (autodetect)
[00:19:12 -6150.048231] Model parameter optimization (eps = 3.000000)
[00:19:13 -6138.169383] FAST spr round 1 (radius: 20)
[00:19:17 -5656.678824] FAST spr round 2 (radius: 20)
[00:19:20 -5616.059905] FAST spr round 3 (radius: 20)
[00:19:22 -5615.664607] FAST spr round 4 (radius: 20)
[00:19:24 -5615.663926] Model parameter optimization (eps = 1.000000)
[00:19:26 -5614.635463] SLOW spr round 1 (radius: 5)
[00:19:31 -5608.185679] SLOW spr round 2 (radius: 5)
[00:19:35 -5606.316351] SLOW spr round 3 (radius: 5)
[00:19:39 -5604.629321] SLOW spr round 4 (radius: 5)
[00:19:44 -5603.336378] SLOW spr round 5 (radius: 5)
[00:19:48 -5603.336291] SLOW spr round 6 (radius: 10)
[00:19:51 -5602.521796] SLOW spr round 7 (radius: 5)
[00:19:58 -5601.804042] SLOW spr round 8 (radius: 5)
[00:20:02 -5601.803978] SLOW spr round 9 (radius: 10)
[00:20:06 -5601.803976] SLOW spr round 10 (radius: 15)
[00:20:12 -5601.803976] SLOW spr round 11 (radius: 20)
[00:20:18 -5601.803976] SLOW spr round 12 (radius: 25)
[00:20:24 -5601.803976] Model parameter optimization (eps = 0.100000)

[00:20:25] ML tree search #13, logLikelihood: -5601.290020

[00:20:25 -14060.025973] Initial branch length optimization
[00:20:25 -11744.992034] Model parameter optimization (eps = 10.000000)
[00:20:28 -11684.917326] AUTODETECT spr round 1 (radius: 5)
[00:20:31 -8625.369593] AUTODETECT spr round 2 (radius: 10)
[00:20:34 -7143.230512] AUTODETECT spr round 3 (radius: 15)
[00:20:38 -6380.478403] AUTODETECT spr round 4 (radius: 20)
[00:20:42 -6326.746963] AUTODETECT spr round 5 (radius: 25)
[00:20:45 -6289.057534] SPR radius for FAST iterations: 25 (autodetect)
[00:20:45 -6289.057534] Model parameter optimization (eps = 3.000000)
[00:20:47 -6281.025572] FAST spr round 1 (radius: 25)
[00:20:51 -5703.360482] FAST spr round 2 (radius: 25)
[00:20:54 -5609.703015] FAST spr round 3 (radius: 25)
[00:20:56 -5606.038977] FAST spr round 4 (radius: 25)
[00:20:59 -5606.038804] Model parameter optimization (eps = 1.000000)
[00:21:00 -5602.202401] SLOW spr round 1 (radius: 5)
[00:21:05 -5601.132398] SLOW spr round 2 (radius: 5)
[00:21:09 -5601.132221] SLOW spr round 3 (radius: 10)
[00:21:13 -5601.132198] SLOW spr round 4 (radius: 15)
[00:21:18 -5601.132194] SLOW spr round 5 (radius: 20)
[00:21:25 -5601.132193] SLOW spr round 6 (radius: 25)
[00:21:30 -5601.132193] Model parameter optimization (eps = 0.100000)

[00:21:30] ML tree search #14, logLikelihood: -5601.113711

[00:21:30 -14256.409024] Initial branch length optimization
[00:21:30 -11806.426177] Model parameter optimization (eps = 10.000000)
[00:21:33 -11762.148692] AUTODETECT spr round 1 (radius: 5)
[00:21:35 -8601.542097] AUTODETECT spr round 2 (radius: 10)
[00:21:39 -6484.335796] AUTODETECT spr round 3 (radius: 15)
[00:21:42 -6097.667147] AUTODETECT spr round 4 (radius: 20)
[00:21:46 -6037.459819] AUTODETECT spr round 5 (radius: 25)
[00:21:50 -6036.302636] SPR radius for FAST iterations: 25 (autodetect)
[00:21:50 -6036.302636] Model parameter optimization (eps = 3.000000)
[00:21:54 -6019.784747] FAST spr round 1 (radius: 25)
[00:21:57 -5667.540777] FAST spr round 2 (radius: 25)
[00:22:00 -5624.324801] FAST spr round 3 (radius: 25)
[00:22:02 -5622.234478] FAST spr round 4 (radius: 25)
[00:22:05 -5622.214874] Model parameter optimization (eps = 1.000000)
[00:22:06 -5620.579501] SLOW spr round 1 (radius: 5)
[00:22:11 -5619.490771] SLOW spr round 2 (radius: 5)
[00:22:15 -5619.490625] SLOW spr round 3 (radius: 10)
[00:22:19 -5615.243684] SLOW spr round 4 (radius: 5)
[00:22:24 -5615.243017] SLOW spr round 5 (radius: 10)
[00:22:29 -5615.243002] SLOW spr round 6 (radius: 15)
[00:22:35 -5615.243002] SLOW spr round 7 (radius: 20)
[00:22:41 -5615.243002] SLOW spr round 8 (radius: 25)
[00:22:47 -5615.243002] Model parameter optimization (eps = 0.100000)

[00:22:48] ML tree search #15, logLikelihood: -5615.063948

[00:22:48 -14121.193678] Initial branch length optimization
[00:22:48 -11618.661684] Model parameter optimization (eps = 10.000000)
[00:22:51 -11551.496488] AUTODETECT spr round 1 (radius: 5)
[00:22:54 -8683.292174] AUTODETECT spr round 2 (radius: 10)
[00:22:57 -6833.405393] AUTODETECT spr round 3 (radius: 15)
[00:23:01 -6642.165973] AUTODETECT spr round 4 (radius: 20)
[00:23:05 -6578.259321] AUTODETECT spr round 5 (radius: 25)
[00:23:08 -6481.418592] SPR radius for FAST iterations: 25 (autodetect)
[00:23:08 -6481.418592] Model parameter optimization (eps = 3.000000)
[00:23:11 -6437.816446] FAST spr round 1 (radius: 25)
[00:23:14 -5741.708700] FAST spr round 2 (radius: 25)
[00:23:17 -5610.420033] FAST spr round 3 (radius: 25)
[00:23:19 -5601.170849] FAST spr round 4 (radius: 25)
[00:23:22 -5601.169803] Model parameter optimization (eps = 1.000000)
[00:23:24 -5599.396229] SLOW spr round 1 (radius: 5)
[00:23:28 -5594.850195] SLOW spr round 2 (radius: 5)
[00:23:33 -5594.454222] SLOW spr round 3 (radius: 5)
[00:23:37 -5594.441033] SLOW spr round 4 (radius: 10)
[00:23:40 -5594.440955] SLOW spr round 5 (radius: 15)
[00:23:47 -5594.440955] SLOW spr round 6 (radius: 20)
[00:23:52 -5594.440955] SLOW spr round 7 (radius: 25)
[00:23:58 -5594.440955] Model parameter optimization (eps = 0.100000)

[00:23:59] ML tree search #16, logLikelihood: -5594.422495

[00:23:59 -14263.893542] Initial branch length optimization
[00:23:59 -11809.641082] Model parameter optimization (eps = 10.000000)
[00:24:02 -11768.451987] AUTODETECT spr round 1 (radius: 5)
[00:24:04 -8977.603312] AUTODETECT spr round 2 (radius: 10)
[00:24:08 -7038.767075] AUTODETECT spr round 3 (radius: 15)
[00:24:11 -6604.517995] AUTODETECT spr round 4 (radius: 20)
[00:24:15 -6134.937865] AUTODETECT spr round 5 (radius: 25)
[00:24:19 -6117.148053] SPR radius for FAST iterations: 25 (autodetect)
[00:24:19 -6117.148053] Model parameter optimization (eps = 3.000000)
[00:24:21 -6101.265891] FAST spr round 1 (radius: 25)
[00:24:25 -5646.254629] FAST spr round 2 (radius: 25)
[00:24:28 -5618.954561] FAST spr round 3 (radius: 25)
[00:24:30 -5604.941783] FAST spr round 4 (radius: 25)
[00:24:32 -5604.399717] FAST spr round 5 (radius: 25)
[00:24:35 -5604.399518] Model parameter optimization (eps = 1.000000)
[00:24:38 -5603.002174] SLOW spr round 1 (radius: 5)
[00:24:42 -5601.241649] SLOW spr round 2 (radius: 5)
[00:24:46 -5601.241197] SLOW spr round 3 (radius: 10)
[00:24:50 -5599.686243] SLOW spr round 4 (radius: 5)
[00:24:56 -5599.686050] SLOW spr round 5 (radius: 10)
[00:25:00 -5599.686049] SLOW spr round 6 (radius: 15)
[00:25:06 -5599.123830] SLOW spr round 7 (radius: 5)
[00:25:12 -5598.640779] SLOW spr round 8 (radius: 5)
[00:25:17 -5598.598058] SLOW spr round 9 (radius: 10)
[00:25:21 -5598.596849] SLOW spr round 10 (radius: 15)
[00:25:27 -5598.596772] SLOW spr round 11 (radius: 20)
[00:25:32 -5598.596762] SLOW spr round 12 (radius: 25)
[00:25:37 -5598.596760] Model parameter optimization (eps = 0.100000)

[00:25:38] ML tree search #17, logLikelihood: -5598.499906

[00:25:38 -14179.756177] Initial branch length optimization
[00:25:38 -11906.565915] Model parameter optimization (eps = 10.000000)
[00:25:41 -11861.284387] AUTODETECT spr round 1 (radius: 5)
[00:25:44 -8368.813373] AUTODETECT spr round 2 (radius: 10)
[00:25:47 -6779.973480] AUTODETECT spr round 3 (radius: 15)
[00:25:51 -6397.135697] AUTODETECT spr round 4 (radius: 20)
[00:25:55 -6372.786726] AUTODETECT spr round 5 (radius: 25)
[00:25:58 -6316.592994] SPR radius for FAST iterations: 25 (autodetect)
[00:25:58 -6316.592994] Model parameter optimization (eps = 3.000000)
[00:26:01 -6302.280287] FAST spr round 1 (radius: 25)
[00:26:04 -5669.149248] FAST spr round 2 (radius: 25)
[00:26:07 -5616.424448] FAST spr round 3 (radius: 25)
[00:26:10 -5610.776106] FAST spr round 4 (radius: 25)
[00:26:12 -5610.773779] Model parameter optimization (eps = 1.000000)
[00:26:14 -5609.376153] SLOW spr round 1 (radius: 5)
[00:26:19 -5606.829893] SLOW spr round 2 (radius: 5)
[00:26:23 -5606.829624] SLOW spr round 3 (radius: 10)
[00:26:27 -5606.227821] SLOW spr round 4 (radius: 5)
[00:26:33 -5603.811769] SLOW spr round 5 (radius: 5)
[00:26:38 -5601.600548] SLOW spr round 6 (radius: 5)
[00:26:42 -5600.127310] SLOW spr round 7 (radius: 5)
[00:26:47 -5600.127000] SLOW spr round 8 (radius: 10)
[00:26:50 -5600.126994] SLOW spr round 9 (radius: 15)
[00:26:57 -5596.447768] SLOW spr round 10 (radius: 5)
[00:27:03 -5596.447496] SLOW spr round 11 (radius: 10)
[00:27:08 -5596.447493] SLOW spr round 12 (radius: 15)
[00:27:14 -5596.447493] SLOW spr round 13 (radius: 20)
[00:27:20 -5596.447493] SLOW spr round 14 (radius: 25)
[00:27:26 -5593.420289] SLOW spr round 15 (radius: 5)
[00:27:32 -5593.420184] SLOW spr round 16 (radius: 10)
[00:27:37 -5593.420183] SLOW spr round 17 (radius: 15)
[00:27:43 -5593.420183] SLOW spr round 18 (radius: 20)
[00:27:49 -5593.420183] SLOW spr round 19 (radius: 25)
[00:27:54 -5593.420183] Model parameter optimization (eps = 0.100000)

[00:27:56] ML tree search #18, logLikelihood: -5592.763702

[00:27:56 -14272.552548] Initial branch length optimization
[00:27:56 -11755.795582] Model parameter optimization (eps = 10.000000)
[00:27:59 -11707.556577] AUTODETECT spr round 1 (radius: 5)
[00:28:02 -8305.648347] AUTODETECT spr round 2 (radius: 10)
[00:28:05 -7143.032814] AUTODETECT spr round 3 (radius: 15)
[00:28:09 -6441.843487] AUTODETECT spr round 4 (radius: 20)
[00:28:14 -6231.015485] AUTODETECT spr round 5 (radius: 25)
[00:28:18 -6230.967434] SPR radius for FAST iterations: 20 (autodetect)
[00:28:18 -6230.967434] Model parameter optimization (eps = 3.000000)
[00:28:20 -6218.204451] FAST spr round 1 (radius: 20)
[00:28:24 -5651.586320] FAST spr round 2 (radius: 20)
[00:28:26 -5597.052057] FAST spr round 3 (radius: 20)
[00:28:29 -5594.842370] FAST spr round 4 (radius: 20)
[00:28:31 -5594.841877] Model parameter optimization (eps = 1.000000)
[00:28:33 -5592.862982] SLOW spr round 1 (radius: 5)
[00:28:38 -5592.828913] SLOW spr round 2 (radius: 10)
[00:28:41 -5592.826692] SLOW spr round 3 (radius: 15)
[00:28:48 -5592.826495] SLOW spr round 4 (radius: 20)
[00:28:55 -5592.826480] SLOW spr round 5 (radius: 25)
[00:29:01 -5592.826479] Model parameter optimization (eps = 0.100000)

[00:29:02] ML tree search #19, logLikelihood: -5592.821743

[00:29:02 -14118.417354] Initial branch length optimization
[00:29:02 -11902.934961] Model parameter optimization (eps = 10.000000)
[00:29:05 -11853.923535] AUTODETECT spr round 1 (radius: 5)
[00:29:08 -8474.012884] AUTODETECT spr round 2 (radius: 10)
[00:29:12 -6439.434328] AUTODETECT spr round 3 (radius: 15)
[00:29:15 -6206.388491] AUTODETECT spr round 4 (radius: 20)
[00:29:19 -6150.064589] AUTODETECT spr round 5 (radius: 25)
[00:29:23 -6133.867185] SPR radius for FAST iterations: 25 (autodetect)
[00:29:23 -6133.867185] Model parameter optimization (eps = 3.000000)
[00:29:26 -6117.145365] FAST spr round 1 (radius: 25)
[00:29:29 -5623.367228] FAST spr round 2 (radius: 25)
[00:29:32 -5606.018284] FAST spr round 3 (radius: 25)
[00:29:35 -5601.376392] FAST spr round 4 (radius: 25)
[00:29:37 -5599.726144] FAST spr round 5 (radius: 25)
[00:29:39 -5599.725481] Model parameter optimization (eps = 1.000000)
[00:29:40 -5598.886782] SLOW spr round 1 (radius: 5)
[00:29:45 -5596.887110] SLOW spr round 2 (radius: 5)
[00:29:49 -5596.886279] SLOW spr round 3 (radius: 10)
[00:29:53 -5596.886265] SLOW spr round 4 (radius: 15)
[00:29:58 -5596.886264] SLOW spr round 5 (radius: 20)
[00:30:04 -5596.886264] SLOW spr round 6 (radius: 25)
[00:30:09 -5596.886264] Model parameter optimization (eps = 0.100000)

[00:30:10] ML tree search #20, logLikelihood: -5596.826512


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.048383,0.744533) (0.058336,0.815677) (0.483832,0.632036) (0.409449,1.491260) 
   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: -5591.571751

AIC score: 11929.143502 / AICc score: 290933.143502 / BIC score: 12642.328083
Free parameters (model + branch lengths): 373

WARNING: Number of free parameters (K=373) is larger than alignment size (n=50).
         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/Q8N7Z2/3_mltree/Q8N7Z2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/3_mltree/Q8N7Z2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/3_mltree/Q8N7Z2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7Z2/3_mltree/Q8N7Z2.raxml.log

Analysis started: 07-Jul-2021 14:48:53 / finished: 07-Jul-2021 15:19:03

Elapsed time: 1810.107 seconds

Consumed energy: 105.078 Wh