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 04-Jul-2021 14:59:15 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/2_msa/Q8WTT2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/2_msa/Q8WTT2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 592 taxa and 593 sites

WARNING: Sequences tr_B2WLF2_B2WLF2_PYRTR_426418 and tr_A0A2W1DJ36_A0A2W1DJ36_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_G7XVP9_G7XVP9_ASPKW_1033177 and tr_A0A146FJ67_A0A146FJ67_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_B8ATD3_B8ATD3_ORYSI_39946 and tr_B9FC62_B9FC62_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_G2YUW5_G2YUW5_BOTF4_999810 and tr_M7UT58_M7UT58_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_G3YAG3_G3YAG3_ASPNA_380704 and tr_A0A318ZSP8_A0A318ZSP8_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_W2QYT7_W2QYT7_PHYPN_761204 and tr_A0A0W8CQV1_A0A0W8CQV1_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QYT7_W2QYT7_PHYPN_761204 and tr_W2KDI8_W2KDI8_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A0F8X1B8_A0A0F8X1B8_9EURO_308745 and tr_A0A2T5LLR5_A0A2T5LLR5_9EURO_1392256 are exactly identical!
WARNING: Duplicate sequences found: 8

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/Q8WTT2/3_mltree/Q8WTT2.raxml.reduced.phy

Alignment comprises 1 partitions and 593 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 593 / 593
Gaps: 11.88 %
Invariant sites: 0.17 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 592 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -635391.754829] Initial branch length optimization
[00:00:02 -533394.853425] Model parameter optimization (eps = 10.000000)
[00:00:27 -530786.281241] AUTODETECT spr round 1 (radius: 5)
[00:01:07 -402658.979509] AUTODETECT spr round 2 (radius: 10)
[00:01:52 -311785.619392] AUTODETECT spr round 3 (radius: 15)
[00:02:40 -267838.060389] AUTODETECT spr round 4 (radius: 20)
[00:03:34 -258078.657712] AUTODETECT spr round 5 (radius: 25)
[00:04:35 -257190.528005] SPR radius for FAST iterations: 25 (autodetect)
[00:04:35 -257190.528005] Model parameter optimization (eps = 3.000000)
[00:04:44 -256952.831797] FAST spr round 1 (radius: 25)
[00:05:42 -224973.030885] FAST spr round 2 (radius: 25)
[00:06:28 -224165.434658] FAST spr round 3 (radius: 25)
[00:07:08 -224139.097429] FAST spr round 4 (radius: 25)
[00:07:43 -224139.076062] Model parameter optimization (eps = 1.000000)
[00:07:50 -224136.331502] SLOW spr round 1 (radius: 5)
[00:08:44 -224083.547431] SLOW spr round 2 (radius: 5)
[00:09:36 -224073.995556] SLOW spr round 3 (radius: 5)
[00:10:25 -224071.912671] SLOW spr round 4 (radius: 5)
[00:11:13 -224070.931082] SLOW spr round 5 (radius: 5)
[00:12:01 -224070.925547] SLOW spr round 6 (radius: 10)
[00:12:51 -224070.924729] SLOW spr round 7 (radius: 15)
[00:14:17 -224070.924593] SLOW spr round 8 (radius: 20)
[00:16:15 -224070.924567] SLOW spr round 9 (radius: 25)
[00:18:37 -224070.924560] Model parameter optimization (eps = 0.100000)

[00:18:49] ML tree search #1, logLikelihood: -224063.159513

[00:18:49 -633718.452304] Initial branch length optimization
[00:18:51 -536205.926258] Model parameter optimization (eps = 10.000000)
[00:19:08 -533585.422887] AUTODETECT spr round 1 (radius: 5)
[00:19:49 -406537.141759] AUTODETECT spr round 2 (radius: 10)
[00:20:35 -313080.594470] AUTODETECT spr round 3 (radius: 15)
[00:21:26 -278108.498035] AUTODETECT spr round 4 (radius: 20)
[00:22:27 -255372.353871] AUTODETECT spr round 5 (radius: 25)
[00:23:32 -252869.778944] SPR radius for FAST iterations: 25 (autodetect)
[00:23:32 -252869.778944] Model parameter optimization (eps = 3.000000)
[00:23:48 -252573.508543] FAST spr round 1 (radius: 25)
[00:24:43 -225303.135910] FAST spr round 2 (radius: 25)
[00:25:28 -224175.984620] FAST spr round 3 (radius: 25)
[00:26:09 -224117.039911] FAST spr round 4 (radius: 25)
[00:26:47 -224100.992796] FAST spr round 5 (radius: 25)
[00:27:21 -224100.992791] Model parameter optimization (eps = 1.000000)
[00:27:30 -224088.274720] SLOW spr round 1 (radius: 5)
[00:28:22 -224051.832948] SLOW spr round 2 (radius: 5)
[00:29:12 -224049.093368] SLOW spr round 3 (radius: 5)
[00:30:01 -224049.093098] SLOW spr round 4 (radius: 10)
[00:30:52 -224048.119232] SLOW spr round 5 (radius: 5)
[00:31:52 -224048.119222] SLOW spr round 6 (radius: 10)
[00:32:51 -224048.119219] SLOW spr round 7 (radius: 15)
[00:34:10 -224048.119216] SLOW spr round 8 (radius: 20)
[00:36:07 -224048.119214] SLOW spr round 9 (radius: 25)
[00:38:24 -224048.119212] Model parameter optimization (eps = 0.100000)

[00:38:27] ML tree search #2, logLikelihood: -224048.052427

[00:38:27 -631226.340597] Initial branch length optimization
[00:38:31 -533829.251818] Model parameter optimization (eps = 10.000000)
[00:38:52 -531186.061770] AUTODETECT spr round 1 (radius: 5)
[00:39:32 -401467.709514] AUTODETECT spr round 2 (radius: 10)
[00:40:17 -310685.805291] AUTODETECT spr round 3 (radius: 15)
[00:41:06 -272525.693184] AUTODETECT spr round 4 (radius: 20)
[00:42:07 -252139.937133] AUTODETECT spr round 5 (radius: 25)
[00:43:18 -251164.217245] SPR radius for FAST iterations: 25 (autodetect)
[00:43:18 -251164.217245] Model parameter optimization (eps = 3.000000)
[00:43:30 -250905.987010] FAST spr round 1 (radius: 25)
[00:44:24 -225216.504631] FAST spr round 2 (radius: 25)
[00:45:08 -224227.371031] FAST spr round 3 (radius: 25)
[00:45:49 -224143.687416] FAST spr round 4 (radius: 25)
[00:46:24 -224136.457414] FAST spr round 5 (radius: 25)
[00:46:58 -224136.457398] Model parameter optimization (eps = 1.000000)
[00:47:14 -224125.902509] SLOW spr round 1 (radius: 5)
[00:48:07 -224050.490267] SLOW spr round 2 (radius: 5)
[00:48:57 -224046.300698] SLOW spr round 3 (radius: 5)
[00:49:44 -224046.300077] SLOW spr round 4 (radius: 10)
[00:50:35 -224044.918694] SLOW spr round 5 (radius: 5)
[00:51:36 -224044.279834] SLOW spr round 6 (radius: 5)
[00:52:29 -224044.278252] SLOW spr round 7 (radius: 10)
[00:53:22 -224044.277979] SLOW spr round 8 (radius: 15)
[00:54:43 -224044.277929] SLOW spr round 9 (radius: 20)
[00:56:38 -224044.277917] SLOW spr round 10 (radius: 25)
[00:58:50 -224044.277912] Model parameter optimization (eps = 0.100000)

[00:59:02] ML tree search #3, logLikelihood: -224040.881590

[00:59:02 -632837.846018] Initial branch length optimization
[00:59:04 -533145.657483] Model parameter optimization (eps = 10.000000)
[00:59:21 -530425.262562] AUTODETECT spr round 1 (radius: 5)
[01:00:01 -404989.873081] AUTODETECT spr round 2 (radius: 10)
[01:00:47 -309094.279852] AUTODETECT spr round 3 (radius: 15)
[01:01:38 -257160.619737] AUTODETECT spr round 4 (radius: 20)
[01:02:40 -248314.031412] AUTODETECT spr round 5 (radius: 25)
[01:03:44 -247173.274562] SPR radius for FAST iterations: 25 (autodetect)
[01:03:44 -247173.274562] Model parameter optimization (eps = 3.000000)
[01:03:58 -246909.789615] FAST spr round 1 (radius: 25)
[01:04:57 -224751.474220] FAST spr round 2 (radius: 25)
[01:05:43 -224148.936457] FAST spr round 3 (radius: 25)
[01:06:24 -224080.738664] FAST spr round 4 (radius: 25)
[01:07:00 -224073.652087] FAST spr round 5 (radius: 25)
[01:07:34 -224073.652071] Model parameter optimization (eps = 1.000000)
[01:07:43 -224072.766941] SLOW spr round 1 (radius: 5)
[01:08:36 -224045.465600] SLOW spr round 2 (radius: 5)
[01:09:25 -224044.972837] SLOW spr round 3 (radius: 5)
[01:10:14 -224044.972658] SLOW spr round 4 (radius: 10)
[01:11:05 -224044.636568] SLOW spr round 5 (radius: 5)
[01:12:06 -224044.192578] SLOW spr round 6 (radius: 5)
[01:12:59 -224044.191295] SLOW spr round 7 (radius: 10)
[01:13:52 -224044.191119] SLOW spr round 8 (radius: 15)
[01:15:14 -224044.191090] SLOW spr round 9 (radius: 20)
[01:17:09 -224044.191083] SLOW spr round 10 (radius: 25)
[01:19:26 -224044.191080] Model parameter optimization (eps = 0.100000)

[01:19:30] ML tree search #4, logLikelihood: -224044.039104

[01:19:30 -636487.868963] Initial branch length optimization
[01:19:33 -536368.100633] Model parameter optimization (eps = 10.000000)
[01:19:54 -533814.531254] AUTODETECT spr round 1 (radius: 5)
[01:20:35 -408258.997929] AUTODETECT spr round 2 (radius: 10)
[01:21:21 -305197.864209] AUTODETECT spr round 3 (radius: 15)
[01:22:13 -256015.885822] AUTODETECT spr round 4 (radius: 20)
[01:23:12 -250611.383648] AUTODETECT spr round 5 (radius: 25)
[01:24:18 -249677.952304] SPR radius for FAST iterations: 25 (autodetect)
[01:24:18 -249677.952304] Model parameter optimization (eps = 3.000000)
[01:24:30 -249441.670731] FAST spr round 1 (radius: 25)
[01:25:24 -224944.746164] FAST spr round 2 (radius: 25)
[01:26:09 -224153.715630] FAST spr round 3 (radius: 25)
[01:26:47 -224137.699600] FAST spr round 4 (radius: 25)
[01:27:23 -224122.634854] FAST spr round 5 (radius: 25)
[01:27:57 -224122.634757] Model parameter optimization (eps = 1.000000)
[01:28:04 -224116.704169] SLOW spr round 1 (radius: 5)
[01:28:56 -224064.925896] SLOW spr round 2 (radius: 5)
[01:29:47 -224053.852275] SLOW spr round 3 (radius: 5)
[01:30:36 -224050.196054] SLOW spr round 4 (radius: 5)
[01:31:25 -224050.195792] SLOW spr round 5 (radius: 10)
[01:32:15 -224050.195773] SLOW spr round 6 (radius: 15)
[01:33:39 -224050.195766] SLOW spr round 7 (radius: 20)
[01:35:32 -224050.195762] SLOW spr round 8 (radius: 25)
[01:37:41 -224050.195759] Model parameter optimization (eps = 0.100000)

[01:37:46] ML tree search #5, logLikelihood: -224049.917092

[01:37:46 -630050.120314] Initial branch length optimization
[01:37:49 -535846.605722] Model parameter optimization (eps = 10.000000)
[01:38:10 -533063.917180] AUTODETECT spr round 1 (radius: 5)
[01:38:51 -406320.880913] AUTODETECT spr round 2 (radius: 10)
[01:39:36 -316368.287967] AUTODETECT spr round 3 (radius: 15)
[01:40:25 -279969.904181] AUTODETECT spr round 4 (radius: 20)
[01:41:25 -265949.939164] AUTODETECT spr round 5 (radius: 25)
[01:42:27 -255293.240576] SPR radius for FAST iterations: 25 (autodetect)
[01:42:27 -255293.240576] Model parameter optimization (eps = 3.000000)
[01:42:38 -254996.023330] FAST spr round 1 (radius: 25)
[01:43:37 -225270.239685] FAST spr round 2 (radius: 25)
[01:44:26 -224197.513060] FAST spr round 3 (radius: 25)
[01:45:08 -224125.556256] FAST spr round 4 (radius: 25)
[01:45:44 -224118.360380] FAST spr round 5 (radius: 25)
[01:46:18 -224118.360341] Model parameter optimization (eps = 1.000000)
[01:46:27 -224106.853446] SLOW spr round 1 (radius: 5)
[01:47:21 -224058.711476] SLOW spr round 2 (radius: 5)
[01:48:11 -224057.526693] SLOW spr round 3 (radius: 5)
[01:48:59 -224057.526381] SLOW spr round 4 (radius: 10)
[01:49:50 -224057.526309] SLOW spr round 5 (radius: 15)
[01:51:15 -224057.526280] SLOW spr round 6 (radius: 20)
[01:53:09 -224057.526267] SLOW spr round 7 (radius: 25)
[01:55:28 -224057.526261] Model parameter optimization (eps = 0.100000)

[01:55:33] ML tree search #6, logLikelihood: -224057.405252

[01:55:33 -634365.881898] Initial branch length optimization
[01:55:36 -533930.504503] Model parameter optimization (eps = 10.000000)
[01:56:01 -531451.143403] AUTODETECT spr round 1 (radius: 5)
[01:56:42 -412139.206597] AUTODETECT spr round 2 (radius: 10)
[01:57:27 -326515.628612] AUTODETECT spr round 3 (radius: 15)
[01:58:17 -267717.975664] AUTODETECT spr round 4 (radius: 20)
[01:59:13 -251308.507318] AUTODETECT spr round 5 (radius: 25)
[02:00:16 -249358.587117] SPR radius for FAST iterations: 25 (autodetect)
[02:00:16 -249358.587117] Model parameter optimization (eps = 3.000000)
[02:00:27 -249180.784292] FAST spr round 1 (radius: 25)
[02:01:26 -224640.701777] FAST spr round 2 (radius: 25)
[02:02:12 -224127.268431] FAST spr round 3 (radius: 25)
[02:02:54 -224094.921572] FAST spr round 4 (radius: 25)
[02:03:30 -224092.324317] FAST spr round 5 (radius: 25)
[02:04:05 -224092.324131] Model parameter optimization (eps = 1.000000)
[02:04:10 -224090.300014] SLOW spr round 1 (radius: 5)
[02:05:04 -224067.896202] SLOW spr round 2 (radius: 5)
[02:05:55 -224062.179986] SLOW spr round 3 (radius: 5)
[02:06:43 -224062.178563] SLOW spr round 4 (radius: 10)
[02:07:35 -224062.147083] SLOW spr round 5 (radius: 15)
[02:09:00 -224062.142965] SLOW spr round 6 (radius: 20)
[02:10:53 -224062.142688] SLOW spr round 7 (radius: 25)
[02:13:11 -224062.142665] Model parameter optimization (eps = 0.100000)

[02:13:17] ML tree search #7, logLikelihood: -224061.968471

[02:13:17 -632277.773232] Initial branch length optimization
[02:13:20 -534301.886838] Model parameter optimization (eps = 10.000000)
[02:13:37 -531549.251781] AUTODETECT spr round 1 (radius: 5)
[02:14:18 -408275.708964] AUTODETECT spr round 2 (radius: 10)
[02:15:03 -302518.100528] AUTODETECT spr round 3 (radius: 15)
[02:15:52 -259202.855659] AUTODETECT spr round 4 (radius: 20)
[02:16:46 -252466.315849] AUTODETECT spr round 5 (radius: 25)
[02:17:47 -251261.388931] SPR radius for FAST iterations: 25 (autodetect)
[02:17:47 -251261.388931] Model parameter optimization (eps = 3.000000)
[02:17:57 -251042.584529] FAST spr round 1 (radius: 25)
[02:18:53 -225108.697860] FAST spr round 2 (radius: 25)
[02:19:39 -224239.320109] FAST spr round 3 (radius: 25)
[02:20:21 -224158.879870] FAST spr round 4 (radius: 25)
[02:20:56 -224147.836932] FAST spr round 5 (radius: 25)
[02:21:31 -224139.301696] FAST spr round 6 (radius: 25)
[02:22:04 -224139.301286] Model parameter optimization (eps = 1.000000)
[02:22:14 -224124.371279] SLOW spr round 1 (radius: 5)
[02:23:07 -224042.881060] SLOW spr round 2 (radius: 5)
[02:23:56 -224040.057948] SLOW spr round 3 (radius: 5)
[02:24:44 -224040.057265] SLOW spr round 4 (radius: 10)
[02:25:34 -224040.057238] SLOW spr round 5 (radius: 15)
[02:27:00 -224040.057233] SLOW spr round 6 (radius: 20)
[02:28:54 -224040.057230] SLOW spr round 7 (radius: 25)
[02:31:14 -224040.057227] Model parameter optimization (eps = 0.100000)

[02:31:22] ML tree search #8, logLikelihood: -224039.410180

[02:31:22 -635402.636045] Initial branch length optimization
[02:31:24 -535978.519156] Model parameter optimization (eps = 10.000000)
[02:31:47 -533237.517345] AUTODETECT spr round 1 (radius: 5)
[02:32:28 -406445.100686] AUTODETECT spr round 2 (radius: 10)
[02:33:12 -318957.570205] AUTODETECT spr round 3 (radius: 15)
[02:34:07 -260237.971886] AUTODETECT spr round 4 (radius: 20)
[02:35:02 -252546.803638] AUTODETECT spr round 5 (radius: 25)
[02:36:00 -250174.370037] SPR radius for FAST iterations: 25 (autodetect)
[02:36:00 -250174.370037] Model parameter optimization (eps = 3.000000)
[02:36:15 -249884.078916] FAST spr round 1 (radius: 25)
[02:37:14 -224990.835565] FAST spr round 2 (radius: 25)
[02:38:00 -224145.927502] FAST spr round 3 (radius: 25)
[02:38:42 -224120.804323] FAST spr round 4 (radius: 25)
[02:39:17 -224117.989210] FAST spr round 5 (radius: 25)
[02:39:51 -224112.828391] FAST spr round 6 (radius: 25)
[02:40:25 -224112.828322] Model parameter optimization (eps = 1.000000)
[02:40:30 -224112.115528] SLOW spr round 1 (radius: 5)
[02:41:25 -224055.065697] SLOW spr round 2 (radius: 5)
[02:42:16 -224046.703670] SLOW spr round 3 (radius: 5)
[02:43:04 -224045.388576] SLOW spr round 4 (radius: 5)
[02:43:51 -224045.239543] SLOW spr round 5 (radius: 5)
[02:44:39 -224045.239444] SLOW spr round 6 (radius: 10)
[02:45:30 -224044.290223] SLOW spr round 7 (radius: 5)
[02:46:31 -224044.290209] SLOW spr round 8 (radius: 10)
[02:47:29 -224044.290209] SLOW spr round 9 (radius: 15)
[02:48:48 -224044.290209] SLOW spr round 10 (radius: 20)
[02:50:38 -224044.290209] SLOW spr round 11 (radius: 25)
[02:52:54 -224044.290209] Model parameter optimization (eps = 0.100000)

[02:53:01] ML tree search #9, logLikelihood: -224043.968113

[02:53:01 -636988.438862] Initial branch length optimization
[02:53:03 -536095.362464] Model parameter optimization (eps = 10.000000)
[02:53:28 -533602.177323] AUTODETECT spr round 1 (radius: 5)
[02:54:09 -404649.805486] AUTODETECT spr round 2 (radius: 10)
[02:54:54 -312276.507477] AUTODETECT spr round 3 (radius: 15)
[02:55:44 -266675.003401] AUTODETECT spr round 4 (radius: 20)
[02:56:41 -253267.149353] AUTODETECT spr round 5 (radius: 25)
[02:57:46 -250792.493071] SPR radius for FAST iterations: 25 (autodetect)
[02:57:46 -250792.493071] Model parameter optimization (eps = 3.000000)
[02:57:57 -250532.285711] FAST spr round 1 (radius: 25)
[02:58:54 -225098.357886] FAST spr round 2 (radius: 25)
[02:59:39 -224160.826233] FAST spr round 3 (radius: 25)
[03:00:20 -224085.487783] FAST spr round 4 (radius: 25)
[03:00:55 -224081.576520] FAST spr round 5 (radius: 25)
[03:01:29 -224080.496259] FAST spr round 6 (radius: 25)
[03:02:02 -224080.496085] Model parameter optimization (eps = 1.000000)
[03:02:06 -224079.589340] SLOW spr round 1 (radius: 5)
[03:02:58 -224051.022955] SLOW spr round 2 (radius: 5)
[03:03:49 -224044.372819] SLOW spr round 3 (radius: 5)
[03:04:36 -224044.372585] SLOW spr round 4 (radius: 10)
[03:05:27 -224044.372547] SLOW spr round 5 (radius: 15)
[03:06:51 -224044.372535] SLOW spr round 6 (radius: 20)
[03:08:44 -224044.372528] SLOW spr round 7 (radius: 25)
[03:11:02 -224044.372521] Model parameter optimization (eps = 0.100000)

[03:11:14] ML tree search #10, logLikelihood: -224041.014470

[03:11:15 -628787.665271] Initial branch length optimization
[03:11:17 -532737.453429] Model parameter optimization (eps = 10.000000)
[03:11:35 -529960.682207] AUTODETECT spr round 1 (radius: 5)
[03:12:15 -395885.975177] AUTODETECT spr round 2 (radius: 10)
[03:12:58 -300110.070904] AUTODETECT spr round 3 (radius: 15)
[03:13:48 -259998.225380] AUTODETECT spr round 4 (radius: 20)
[03:14:46 -251073.520550] AUTODETECT spr round 5 (radius: 25)
[03:15:47 -250732.041512] SPR radius for FAST iterations: 25 (autodetect)
[03:15:47 -250732.041512] Model parameter optimization (eps = 3.000000)
[03:16:02 -250450.840635] FAST spr round 1 (radius: 25)
[03:17:01 -225059.252155] FAST spr round 2 (radius: 25)
[03:17:48 -224168.388464] FAST spr round 3 (radius: 25)
[03:18:28 -224114.350104] FAST spr round 4 (radius: 25)
[03:19:04 -224113.710070] FAST spr round 5 (radius: 25)
[03:19:37 -224113.708985] Model parameter optimization (eps = 1.000000)
[03:19:47 -224101.449640] SLOW spr round 1 (radius: 5)
[03:20:40 -224054.812668] SLOW spr round 2 (radius: 5)
[03:21:30 -224052.909822] SLOW spr round 3 (radius: 5)
[03:22:20 -224050.058423] SLOW spr round 4 (radius: 5)
[03:23:08 -224049.853440] SLOW spr round 5 (radius: 5)
[03:23:56 -224049.853033] SLOW spr round 6 (radius: 10)
[03:24:46 -224049.787948] SLOW spr round 7 (radius: 15)
[03:26:10 -224049.787226] SLOW spr round 8 (radius: 20)
[03:28:00 -224049.787192] SLOW spr round 9 (radius: 25)
[03:30:14 -224049.787187] Model parameter optimization (eps = 0.100000)

[03:30:16] ML tree search #11, logLikelihood: -224049.775849

[03:30:16 -629323.107311] Initial branch length optimization
[03:30:18 -533399.016057] Model parameter optimization (eps = 10.000000)
[03:30:37 -530589.689995] AUTODETECT spr round 1 (radius: 5)
[03:31:18 -402755.010689] AUTODETECT spr round 2 (radius: 10)
[03:32:03 -314671.699094] AUTODETECT spr round 3 (radius: 15)
[03:32:54 -271740.287208] AUTODETECT spr round 4 (radius: 20)
[03:33:52 -261157.875195] AUTODETECT spr round 5 (radius: 25)
[03:34:54 -259296.423535] SPR radius for FAST iterations: 25 (autodetect)
[03:34:54 -259296.423535] Model parameter optimization (eps = 3.000000)
[03:35:06 -258903.306046] FAST spr round 1 (radius: 25)
[03:36:05 -225502.499057] FAST spr round 2 (radius: 25)
[03:36:51 -224240.363394] FAST spr round 3 (radius: 25)
[03:37:33 -224102.038009] FAST spr round 4 (radius: 25)
[03:38:11 -224088.357288] FAST spr round 5 (radius: 25)
[03:38:45 -224088.356640] Model parameter optimization (eps = 1.000000)
[03:38:52 -224081.893149] SLOW spr round 1 (radius: 5)
[03:39:45 -224046.516810] SLOW spr round 2 (radius: 5)
[03:40:34 -224040.829492] SLOW spr round 3 (radius: 5)
[03:41:23 -224037.254320] SLOW spr round 4 (radius: 5)
[03:42:11 -224037.254101] SLOW spr round 5 (radius: 10)
[03:43:01 -224035.944039] SLOW spr round 6 (radius: 5)
[03:44:03 -224030.135117] SLOW spr round 7 (radius: 5)
[03:44:55 -224030.134046] SLOW spr round 8 (radius: 10)
[03:45:48 -224030.133866] SLOW spr round 9 (radius: 15)
[03:47:10 -224030.133831] SLOW spr round 10 (radius: 20)
[03:49:06 -224030.133824] SLOW spr round 11 (radius: 25)
[03:51:26 -224030.133820] Model parameter optimization (eps = 0.100000)

[03:51:30] ML tree search #12, logLikelihood: -224030.012144

[03:51:30 -628129.940723] Initial branch length optimization
[03:51:33 -530251.748080] Model parameter optimization (eps = 10.000000)
[03:51:54 -527561.890657] AUTODETECT spr round 1 (radius: 5)
[03:52:35 -408805.636157] AUTODETECT spr round 2 (radius: 10)
[03:53:20 -326496.184981] AUTODETECT spr round 3 (radius: 15)
[03:54:12 -286936.084526] AUTODETECT spr round 4 (radius: 20)
[03:55:22 -257462.491326] AUTODETECT spr round 5 (radius: 25)
[03:56:43 -255414.654094] SPR radius for FAST iterations: 25 (autodetect)
[03:56:43 -255414.654094] Model parameter optimization (eps = 3.000000)
[03:56:56 -255191.597406] FAST spr round 1 (radius: 25)
[03:57:52 -225236.110841] FAST spr round 2 (radius: 25)
[03:58:36 -224180.027663] FAST spr round 3 (radius: 25)
[03:59:18 -224124.646534] FAST spr round 4 (radius: 25)
[03:59:54 -224118.903967] FAST spr round 5 (radius: 25)
[04:00:28 -224113.620291] FAST spr round 6 (radius: 25)
[04:01:02 -224112.489024] FAST spr round 7 (radius: 25)
[04:01:37 -224106.417576] FAST spr round 8 (radius: 25)
[04:02:10 -224106.417567] Model parameter optimization (eps = 1.000000)
[04:02:22 -224096.911187] SLOW spr round 1 (radius: 5)
[04:03:15 -224041.763506] SLOW spr round 2 (radius: 5)
[04:04:04 -224032.930127] SLOW spr round 3 (radius: 5)
[04:04:53 -224030.985064] SLOW spr round 4 (radius: 5)
[04:05:40 -224030.981703] SLOW spr round 5 (radius: 10)
[04:06:31 -224030.980624] SLOW spr round 6 (radius: 15)
[04:07:54 -224030.980279] SLOW spr round 7 (radius: 20)
[04:09:48 -224030.980169] SLOW spr round 8 (radius: 25)
[04:12:07 -224030.980133] Model parameter optimization (eps = 0.100000)

[04:12:13] ML tree search #13, logLikelihood: -224030.486774

[04:12:13 -636301.934038] Initial branch length optimization
[04:12:15 -536570.551015] Model parameter optimization (eps = 10.000000)
[04:12:32 -533851.376679] AUTODETECT spr round 1 (radius: 5)
[04:13:12 -415588.025910] AUTODETECT spr round 2 (radius: 10)
[04:13:56 -328189.567030] AUTODETECT spr round 3 (radius: 15)
[04:14:46 -270362.814302] AUTODETECT spr round 4 (radius: 20)
[04:15:43 -255267.825142] AUTODETECT spr round 5 (radius: 25)
[04:16:57 -254560.286816] SPR radius for FAST iterations: 25 (autodetect)
[04:16:57 -254560.286816] Model parameter optimization (eps = 3.000000)
[04:17:07 -254214.313072] FAST spr round 1 (radius: 25)
[04:18:06 -225289.443427] FAST spr round 2 (radius: 25)
[04:18:53 -224182.600425] FAST spr round 3 (radius: 25)
[04:19:34 -224090.646577] FAST spr round 4 (radius: 25)
[04:20:10 -224083.166611] FAST spr round 5 (radius: 25)
[04:20:43 -224083.166581] Model parameter optimization (eps = 1.000000)
[04:20:55 -224078.190804] SLOW spr round 1 (radius: 5)
[04:21:48 -224046.700229] SLOW spr round 2 (radius: 5)
[04:22:38 -224043.779284] SLOW spr round 3 (radius: 5)
[04:23:26 -224043.779101] SLOW spr round 4 (radius: 10)
[04:24:17 -224043.452029] SLOW spr round 5 (radius: 5)
[04:25:18 -224042.293979] SLOW spr round 6 (radius: 5)
[04:26:11 -224042.292567] SLOW spr round 7 (radius: 10)
[04:27:04 -224042.292328] SLOW spr round 8 (radius: 15)
[04:28:28 -224042.292284] SLOW spr round 9 (radius: 20)
[04:30:28 -224042.292275] SLOW spr round 10 (radius: 25)
[04:32:49 -224042.292272] Model parameter optimization (eps = 0.100000)

[04:32:55] ML tree search #14, logLikelihood: -224041.974514

[04:32:55 -631971.962784] Initial branch length optimization
[04:32:58 -535760.988038] Model parameter optimization (eps = 10.000000)
[04:33:14 -533084.439000] AUTODETECT spr round 1 (radius: 5)
[04:33:54 -399773.392005] AUTODETECT spr round 2 (radius: 10)
[04:34:38 -318699.733831] AUTODETECT spr round 3 (radius: 15)
[04:35:28 -287323.251460] AUTODETECT spr round 4 (radius: 20)
[04:36:32 -259719.826961] AUTODETECT spr round 5 (radius: 25)
[04:37:39 -259164.373835] SPR radius for FAST iterations: 25 (autodetect)
[04:37:39 -259164.373835] Model parameter optimization (eps = 3.000000)
[04:37:53 -258905.520142] FAST spr round 1 (radius: 25)
[04:38:48 -225991.617916] FAST spr round 2 (radius: 25)
[04:39:32 -224180.653470] FAST spr round 3 (radius: 25)
[04:40:12 -224087.232692] FAST spr round 4 (radius: 25)
[04:40:48 -224083.435265] FAST spr round 5 (radius: 25)
[04:41:21 -224083.435069] Model parameter optimization (eps = 1.000000)
[04:41:30 -224080.149588] SLOW spr round 1 (radius: 5)
[04:42:21 -224031.940119] SLOW spr round 2 (radius: 5)
[04:43:11 -224029.580937] SLOW spr round 3 (radius: 5)
[04:43:59 -224029.580396] SLOW spr round 4 (radius: 10)
[04:44:49 -224029.580362] SLOW spr round 5 (radius: 15)
[04:46:15 -224029.580357] SLOW spr round 6 (radius: 20)
[04:48:10 -224029.580354] SLOW spr round 7 (radius: 25)
[04:50:27 -224029.580352] Model parameter optimization (eps = 0.100000)

[04:50:29] ML tree search #15, logLikelihood: -224029.494676

[04:50:30 -635420.244295] Initial branch length optimization
[04:50:32 -538144.366360] Model parameter optimization (eps = 10.000000)
[04:50:53 -535365.008809] AUTODETECT spr round 1 (radius: 5)
[04:51:33 -410264.152069] AUTODETECT spr round 2 (radius: 10)
[04:52:17 -313339.458897] AUTODETECT spr round 3 (radius: 15)
[04:53:11 -256510.662006] AUTODETECT spr round 4 (radius: 20)
[04:54:15 -245110.343775] AUTODETECT spr round 5 (radius: 25)
[04:55:22 -244992.246937] SPR radius for FAST iterations: 25 (autodetect)
[04:55:22 -244992.246937] Model parameter optimization (eps = 3.000000)
[04:55:32 -244690.347489] FAST spr round 1 (radius: 25)
[04:56:29 -224821.894787] FAST spr round 2 (radius: 25)
[04:57:14 -224161.062589] FAST spr round 3 (radius: 25)
[04:57:53 -224119.394126] FAST spr round 4 (radius: 25)
[04:58:28 -224112.941136] FAST spr round 5 (radius: 25)
[04:59:02 -224112.941124] Model parameter optimization (eps = 1.000000)
[04:59:13 -224102.118482] SLOW spr round 1 (radius: 5)
[05:00:06 -224045.597716] SLOW spr round 2 (radius: 5)
[05:00:55 -224042.823975] SLOW spr round 3 (radius: 5)
[05:01:43 -224042.823263] SLOW spr round 4 (radius: 10)
[05:02:33 -224042.823208] SLOW spr round 5 (radius: 15)
[05:03:58 -224042.823193] SLOW spr round 6 (radius: 20)
[05:05:52 -224042.823187] SLOW spr round 7 (radius: 25)
[05:08:08 -224042.823184] Model parameter optimization (eps = 0.100000)

[05:08:16] ML tree search #16, logLikelihood: -224041.900185

[05:08:16 -635408.866986] Initial branch length optimization
[05:08:18 -535973.058500] Model parameter optimization (eps = 10.000000)
[05:08:45 -533285.189325] AUTODETECT spr round 1 (radius: 5)
[05:09:26 -406685.557310] AUTODETECT spr round 2 (radius: 10)
[05:10:10 -323024.443132] AUTODETECT spr round 3 (radius: 15)
[05:11:00 -277592.674950] AUTODETECT spr round 4 (radius: 20)
[05:11:57 -256395.047160] AUTODETECT spr round 5 (radius: 25)
[05:12:59 -254517.033743] SPR radius for FAST iterations: 25 (autodetect)
[05:12:59 -254517.033743] Model parameter optimization (eps = 3.000000)
[05:13:11 -254190.683936] FAST spr round 1 (radius: 25)
[05:14:10 -225270.846824] FAST spr round 2 (radius: 25)
[05:14:54 -224177.323227] FAST spr round 3 (radius: 25)
[05:15:36 -224088.384791] FAST spr round 4 (radius: 25)
[05:16:11 -224087.863960] FAST spr round 5 (radius: 25)
[05:16:44 -224087.863948] Model parameter optimization (eps = 1.000000)
[05:16:52 -224083.189742] SLOW spr round 1 (radius: 5)
[05:17:46 -224041.938379] SLOW spr round 2 (radius: 5)
[05:18:35 -224036.877371] SLOW spr round 3 (radius: 5)
[05:19:23 -224034.717158] SLOW spr round 4 (radius: 5)
[05:20:11 -224034.717029] SLOW spr round 5 (radius: 10)
[05:21:04 -224033.599121] SLOW spr round 6 (radius: 5)
[05:22:04 -224032.836681] SLOW spr round 7 (radius: 5)
[05:22:57 -224032.835926] SLOW spr round 8 (radius: 10)
[05:23:51 -224032.835887] SLOW spr round 9 (radius: 15)
[05:25:15 -224032.835882] SLOW spr round 10 (radius: 20)
[05:27:14 -224032.835880] SLOW spr round 11 (radius: 25)
[05:29:37 -224032.835878] Model parameter optimization (eps = 0.100000)

[05:29:44] ML tree search #17, logLikelihood: -224032.194043

[05:29:44 -634785.781719] Initial branch length optimization
[05:29:46 -537375.687401] Model parameter optimization (eps = 10.000000)
[05:30:00 -534565.211747] AUTODETECT spr round 1 (radius: 5)
[05:30:41 -407552.744366] AUTODETECT spr round 2 (radius: 10)
[05:31:25 -326287.948042] AUTODETECT spr round 3 (radius: 15)
[05:32:15 -261997.180958] AUTODETECT spr round 4 (radius: 20)
[05:33:12 -248599.214895] AUTODETECT spr round 5 (radius: 25)
[05:34:15 -248533.976163] SPR radius for FAST iterations: 25 (autodetect)
[05:34:15 -248533.976163] Model parameter optimization (eps = 3.000000)
[05:34:25 -248232.322291] FAST spr round 1 (radius: 25)
[05:35:22 -224992.876160] FAST spr round 2 (radius: 25)
[05:36:07 -224259.056506] FAST spr round 3 (radius: 25)
[05:36:49 -224100.595794] FAST spr round 4 (radius: 25)
[05:37:27 -224081.292042] FAST spr round 5 (radius: 25)
[05:38:01 -224081.253744] Model parameter optimization (eps = 1.000000)
[05:38:08 -224079.617460] SLOW spr round 1 (radius: 5)
[05:39:01 -224038.762489] SLOW spr round 2 (radius: 5)
[05:39:50 -224037.516272] SLOW spr round 3 (radius: 5)
[05:40:38 -224037.516062] SLOW spr round 4 (radius: 10)
[05:41:29 -224037.516046] SLOW spr round 5 (radius: 15)
[05:42:54 -224037.516042] SLOW spr round 6 (radius: 20)
[05:44:50 -224037.516040] SLOW spr round 7 (radius: 25)
[05:47:10 -224037.516038] Model parameter optimization (eps = 0.100000)

[05:47:13] ML tree search #18, logLikelihood: -224037.423905

[05:47:13 -629804.287366] Initial branch length optimization
[05:47:15 -531912.465972] Model parameter optimization (eps = 10.000000)
[05:47:40 -529169.866405] AUTODETECT spr round 1 (radius: 5)
[05:48:20 -407769.446573] AUTODETECT spr round 2 (radius: 10)
[05:49:04 -324215.835091] AUTODETECT spr round 3 (radius: 15)
[05:49:55 -260677.035994] AUTODETECT spr round 4 (radius: 20)
[05:50:54 -246614.974125] AUTODETECT spr round 5 (radius: 25)
[05:51:58 -246428.044061] SPR radius for FAST iterations: 25 (autodetect)
[05:51:58 -246428.044061] Model parameter optimization (eps = 3.000000)
[05:52:07 -246150.321068] FAST spr round 1 (radius: 25)
[05:53:06 -224987.549294] FAST spr round 2 (radius: 25)
[05:53:52 -224164.729650] FAST spr round 3 (radius: 25)
[05:54:33 -224116.625000] FAST spr round 4 (radius: 25)
[05:55:10 -224100.195054] FAST spr round 5 (radius: 25)
[05:55:44 -224096.665008] FAST spr round 6 (radius: 25)
[05:56:17 -224096.665000] Model parameter optimization (eps = 1.000000)
[05:56:25 -224092.384381] SLOW spr round 1 (radius: 5)
[05:57:18 -224053.641550] SLOW spr round 2 (radius: 5)
[05:58:09 -224047.059268] SLOW spr round 3 (radius: 5)
[05:58:59 -224037.799465] SLOW spr round 4 (radius: 5)
[05:59:46 -224037.798656] SLOW spr round 5 (radius: 10)
[06:00:37 -224036.324026] SLOW spr round 6 (radius: 5)
[06:01:37 -224034.730765] SLOW spr round 7 (radius: 5)
[06:02:30 -224034.730336] SLOW spr round 8 (radius: 10)
[06:03:21 -224034.730329] SLOW spr round 9 (radius: 15)
[06:04:43 -224034.730327] SLOW spr round 10 (radius: 20)
[06:06:37 -224034.730325] SLOW spr round 11 (radius: 25)
[06:08:53 -224034.730323] Model parameter optimization (eps = 0.100000)

[06:09:02] ML tree search #19, logLikelihood: -224033.613672

[06:09:02 -632498.849828] Initial branch length optimization
[06:09:05 -538927.253617] Model parameter optimization (eps = 10.000000)
[06:09:20 -536304.082448] AUTODETECT spr round 1 (radius: 5)
[06:10:00 -394900.003955] AUTODETECT spr round 2 (radius: 10)
[06:10:44 -314088.451850] AUTODETECT spr round 3 (radius: 15)
[06:11:35 -264894.756892] AUTODETECT spr round 4 (radius: 20)
[06:12:36 -246622.398284] AUTODETECT spr round 5 (radius: 25)
[06:13:42 -243238.251837] SPR radius for FAST iterations: 25 (autodetect)
[06:13:42 -243238.251837] Model parameter optimization (eps = 3.000000)
[06:13:55 -243032.355946] FAST spr round 1 (radius: 25)
[06:14:52 -224904.594069] FAST spr round 2 (radius: 25)
[06:15:37 -224138.904037] FAST spr round 3 (radius: 25)
[06:16:16 -224103.862429] FAST spr round 4 (radius: 25)
[06:16:51 -224096.665438] FAST spr round 5 (radius: 25)
[06:17:25 -224096.660563] Model parameter optimization (eps = 1.000000)
[06:17:32 -224091.357332] SLOW spr round 1 (radius: 5)
[06:18:26 -224051.315712] SLOW spr round 2 (radius: 5)
[06:19:15 -224050.058217] SLOW spr round 3 (radius: 5)
[06:20:03 -224048.792864] SLOW spr round 4 (radius: 5)
[06:20:50 -224048.792707] SLOW spr round 5 (radius: 10)
[06:21:42 -224048.792699] SLOW spr round 6 (radius: 15)
[06:23:09 -224048.792696] SLOW spr round 7 (radius: 20)
[06:25:05 -224048.792694] SLOW spr round 8 (radius: 25)
[06:27:26 -224048.792692] Model parameter optimization (eps = 0.100000)

[06:27:31] ML tree search #20, logLikelihood: -224048.601692


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.194143,0.535144) (0.170208,0.564843) (0.311284,0.770939) (0.324364,1.726402) 
   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: -224029.494676

AIC score: 450432.989352 / AICc score: 3270744.989352 / BIC score: 455638.215103
Free parameters (model + branch lengths): 1187

WARNING: Number of free parameters (K=1187) is larger than alignment size (n=593).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 14 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WTT2/3_mltree/Q8WTT2.raxml.log

Analysis started: 04-Jul-2021 14:59:15 / finished: 04-Jul-2021 21:26:47

Elapsed time: 23251.436 seconds

Consumed energy: 1472.786 Wh (= 7 km in an electric car, or 37 km with an e-scooter!)