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 11-Jul-2021 06:00:58 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/2_msa/B5MD39_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/3_mltree/B5MD39 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/2_msa/B5MD39_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 581 sites

WARNING: Sequences tr_Q29G10_Q29G10_DROPS_46245 and tr_B4H7H9_B4H7H9_DROPE_7234 are exactly identical!
WARNING: Sequences tr_F9G5X4_F9G5X4_FUSOF_660025 and tr_N4UCL2_N4UCL2_FUSC1_1229664 are exactly identical!
WARNING: Sequences tr_F9G5X4_F9G5X4_FUSOF_660025 and tr_A0A2H3U389_A0A2H3U389_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_M4EXU3_M4EXU3_BRARP_51351 and tr_A0A078ITP2_A0A078ITP2_BRANA_3708 are exactly identical!
WARNING: Sequences tr_V2X522_V2X522_MONRO_1381753 and tr_A0A0W0F0S3_A0A0W0F0S3_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_A0A0V1DGX8_A0A0V1DGX8_TRIBR_45882 and tr_A0A0V0X3S3_A0A0V0X3S3_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1DGX8_A0A0V1DGX8_TRIBR_45882 and tr_A0A0V0UI78_A0A0V0UI78_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1N7A4_A0A0V1N7A4_9BILA_268474 and tr_A0A0V1I971_A0A0V1I971_9BILA_268475 are exactly identical!
WARNING: Sequences tr_A0A1S3ZPX3_A0A1S3ZPX3_TOBAC_4097 and tr_A0A1U7VUP5_A0A1U7VUP5_NICSY_4096 are exactly identical!
WARNING: Duplicate sequences found: 9

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/B5MD39/3_mltree/B5MD39.raxml.reduced.phy

Alignment comprises 1 partitions and 581 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 581 / 581
Gaps: 10.17 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/3_mltree/B5MD39.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 83 / 6640
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1018454.504834] Initial branch length optimization
[00:00:03 -884372.620651] Model parameter optimization (eps = 10.000000)
[00:00:32 -880942.808323] AUTODETECT spr round 1 (radius: 5)
[00:02:39 -696904.014393] AUTODETECT spr round 2 (radius: 10)
[00:04:58 -533077.828510] AUTODETECT spr round 3 (radius: 15)
[00:07:26 -467979.874667] AUTODETECT spr round 4 (radius: 20)
[00:10:32 -451545.211859] AUTODETECT spr round 5 (radius: 25)
[00:13:56 -442824.980823] SPR radius for FAST iterations: 25 (autodetect)
[00:13:56 -442824.980823] Model parameter optimization (eps = 3.000000)
[00:14:18 -442663.772367] FAST spr round 1 (radius: 25)
[00:17:53 -390852.146156] FAST spr round 2 (radius: 25)
[00:20:20 -388706.337729] FAST spr round 3 (radius: 25)
[00:22:26 -388572.995509] FAST spr round 4 (radius: 25)
[00:24:14 -388561.735056] FAST spr round 5 (radius: 25)
[00:25:57 -388561.734273] Model parameter optimization (eps = 1.000000)
[00:26:09 -388561.010453] SLOW spr round 1 (radius: 5)
[00:28:41 -388474.593919] SLOW spr round 2 (radius: 5)
[00:31:00 -388450.967502] SLOW spr round 3 (radius: 5)
[00:33:11 -388449.866384] SLOW spr round 4 (radius: 5)
[00:35:23 -388448.551504] SLOW spr round 5 (radius: 5)
[00:37:31 -388448.551478] SLOW spr round 6 (radius: 10)
[00:39:47 -388448.551473] SLOW spr round 7 (radius: 15)
[00:43:36 -388448.551468] SLOW spr round 8 (radius: 20)
[00:48:52 -388448.551463] SLOW spr round 9 (radius: 25)
[00:55:41 -388448.551458] Model parameter optimization (eps = 0.100000)

[00:55:52] ML tree search #1, logLikelihood: -388448.297491

[00:55:52 -1019587.944789] Initial branch length optimization
[00:55:55 -882449.890199] Model parameter optimization (eps = 10.000000)
[00:56:24 -878997.037761] AUTODETECT spr round 1 (radius: 5)
[00:58:32 -690111.371130] AUTODETECT spr round 2 (radius: 10)
[01:00:56 -519863.991713] AUTODETECT spr round 3 (radius: 15)
[01:03:20 -446516.760880] AUTODETECT spr round 4 (radius: 20)
[01:06:21 -431816.564370] AUTODETECT spr round 5 (radius: 25)
[01:09:43 -430024.908190] SPR radius for FAST iterations: 25 (autodetect)
[01:09:43 -430024.908190] Model parameter optimization (eps = 3.000000)
[01:10:03 -429820.579545] FAST spr round 1 (radius: 25)
[01:13:29 -390008.348828] FAST spr round 2 (radius: 25)
[01:15:57 -388825.857430] FAST spr round 3 (radius: 25)
[01:18:06 -388594.327479] FAST spr round 4 (radius: 25)
[01:19:58 -388569.976003] FAST spr round 5 (radius: 25)
[01:21:41 -388569.975992] Model parameter optimization (eps = 1.000000)
[01:21:59 -388566.513350] SLOW spr round 1 (radius: 5)
[01:24:30 -388438.522747] SLOW spr round 2 (radius: 5)
[01:26:52 -388425.210269] SLOW spr round 3 (radius: 5)
[01:29:05 -388425.088566] SLOW spr round 4 (radius: 5)
[01:31:16 -388425.087656] SLOW spr round 5 (radius: 10)
[01:33:34 -388425.087623] SLOW spr round 6 (radius: 15)
[01:37:22 -388425.087617] SLOW spr round 7 (radius: 20)
[01:42:34 -388425.087612] SLOW spr round 8 (radius: 25)
[01:49:18 -388425.087608] Model parameter optimization (eps = 0.100000)

[01:49:23] ML tree search #2, logLikelihood: -388425.030661

[01:49:23 -1020848.446849] Initial branch length optimization
[01:49:26 -884189.381116] Model parameter optimization (eps = 10.000000)
[01:49:52 -880709.854030] AUTODETECT spr round 1 (radius: 5)
[01:51:57 -699759.705587] AUTODETECT spr round 2 (radius: 10)
[01:54:21 -529420.988533] AUTODETECT spr round 3 (radius: 15)
[01:57:01 -453503.296596] AUTODETECT spr round 4 (radius: 20)
[01:59:59 -429600.764699] AUTODETECT spr round 5 (radius: 25)
[02:03:27 -428756.625457] SPR radius for FAST iterations: 25 (autodetect)
[02:03:27 -428756.625457] Model parameter optimization (eps = 3.000000)
[02:03:33 -428754.846446] FAST spr round 1 (radius: 25)
[02:06:51 -390069.326362] FAST spr round 2 (radius: 25)
[02:09:22 -388841.532776] FAST spr round 3 (radius: 25)
[02:11:35 -388713.621723] FAST spr round 4 (radius: 25)
[02:13:34 -388687.396104] FAST spr round 5 (radius: 25)
[02:15:21 -388687.396089] Model parameter optimization (eps = 1.000000)
[02:15:25 -388687.067200] SLOW spr round 1 (radius: 5)
[02:18:01 -388593.720734] SLOW spr round 2 (radius: 5)
[02:20:23 -388574.970134] SLOW spr round 3 (radius: 5)
[02:22:36 -388570.569040] SLOW spr round 4 (radius: 5)
[02:24:47 -388570.569012] SLOW spr round 5 (radius: 10)
[02:27:04 -388570.569005] SLOW spr round 6 (radius: 15)
[02:30:53 -388570.568998] SLOW spr round 7 (radius: 20)
[02:36:01 -388570.568991] SLOW spr round 8 (radius: 25)
[02:42:39 -388570.568985] Model parameter optimization (eps = 0.100000)

[02:42:45] ML tree search #3, logLikelihood: -388570.546717

[02:42:45 -1019901.690770] Initial branch length optimization
[02:42:48 -884810.152380] Model parameter optimization (eps = 10.000000)
[02:43:17 -881351.296899] AUTODETECT spr round 1 (radius: 5)
[02:45:25 -679801.671865] AUTODETECT spr round 2 (radius: 10)
[02:47:48 -496060.405934] AUTODETECT spr round 3 (radius: 15)
[02:50:29 -432705.643213] AUTODETECT spr round 4 (radius: 20)
[02:53:45 -426634.872866] AUTODETECT spr round 5 (radius: 25)
[02:57:46 -426382.471240] SPR radius for FAST iterations: 25 (autodetect)
[02:57:46 -426382.471240] Model parameter optimization (eps = 3.000000)
[02:57:54 -426378.939590] FAST spr round 1 (radius: 25)
[03:01:13 -390600.669718] FAST spr round 2 (radius: 25)
[03:03:38 -388916.154849] FAST spr round 3 (radius: 25)
[03:05:49 -388720.014218] FAST spr round 4 (radius: 25)
[03:07:39 -388702.368003] FAST spr round 5 (radius: 25)
[03:09:23 -388702.367984] Model parameter optimization (eps = 1.000000)
[03:09:27 -388702.319583] SLOW spr round 1 (radius: 5)
[03:11:58 -388595.546083] SLOW spr round 2 (radius: 5)
[03:14:17 -388589.240803] SLOW spr round 3 (radius: 5)
[03:16:32 -388589.240731] SLOW spr round 4 (radius: 10)
[03:18:50 -388589.240723] SLOW spr round 5 (radius: 15)
[03:22:41 -388589.240717] SLOW spr round 6 (radius: 20)
[03:27:59 -388589.240710] SLOW spr round 7 (radius: 25)
[03:34:56 -388589.240704] Model parameter optimization (eps = 0.100000)

[03:35:00] ML tree search #4, logLikelihood: -388589.231634

[03:35:00 -1019742.366506] Initial branch length optimization
[03:35:03 -882529.514066] Model parameter optimization (eps = 10.000000)
[03:35:30 -879166.475101] AUTODETECT spr round 1 (radius: 5)
[03:37:36 -691531.913672] AUTODETECT spr round 2 (radius: 10)
[03:40:00 -519434.664715] AUTODETECT spr round 3 (radius: 15)
[03:42:35 -456957.589966] AUTODETECT spr round 4 (radius: 20)
[03:45:43 -434071.856531] AUTODETECT spr round 5 (radius: 25)
[03:48:43 -432666.276057] SPR radius for FAST iterations: 25 (autodetect)
[03:48:44 -432666.276057] Model parameter optimization (eps = 3.000000)
[03:48:51 -432662.830538] FAST spr round 1 (radius: 25)
[03:52:07 -390205.027113] FAST spr round 2 (radius: 25)
[03:54:36 -388793.152996] FAST spr round 3 (radius: 25)
[03:56:41 -388706.603741] FAST spr round 4 (radius: 25)
[03:58:33 -388696.857132] FAST spr round 5 (radius: 25)
[04:00:20 -388688.290063] FAST spr round 6 (radius: 25)
[04:02:02 -388688.289746] Model parameter optimization (eps = 1.000000)
[04:02:17 -388533.998750] SLOW spr round 1 (radius: 5)
[04:04:43 -388468.586452] SLOW spr round 2 (radius: 5)
[04:07:05 -388457.287862] SLOW spr round 3 (radius: 5)
[04:09:21 -388450.762092] SLOW spr round 4 (radius: 5)
[04:11:35 -388450.761899] SLOW spr round 5 (radius: 10)
[04:13:56 -388450.761894] SLOW spr round 6 (radius: 15)
[04:17:48 -388450.761889] SLOW spr round 7 (radius: 20)
[04:23:15 -388450.761884] SLOW spr round 8 (radius: 25)
[04:30:28 -388450.761879] Model parameter optimization (eps = 0.100000)

[04:30:32] ML tree search #5, logLikelihood: -388450.749166

[04:30:32 -1016904.930109] Initial branch length optimization
[04:30:36 -881130.198609] Model parameter optimization (eps = 10.000000)
[04:31:12 -877814.214540] AUTODETECT spr round 1 (radius: 5)
[04:33:18 -688290.632113] AUTODETECT spr round 2 (radius: 10)
[04:35:41 -498717.115986] AUTODETECT spr round 3 (radius: 15)
[04:38:11 -438460.779595] AUTODETECT spr round 4 (radius: 20)
[04:41:34 -428137.282700] AUTODETECT spr round 5 (radius: 25)
[04:45:35 -427191.779421] SPR radius for FAST iterations: 25 (autodetect)
[04:45:35 -427191.779421] Model parameter optimization (eps = 3.000000)
[04:45:52 -427020.304797] FAST spr round 1 (radius: 25)
[04:49:12 -390091.636929] FAST spr round 2 (radius: 25)
[04:51:36 -388680.109525] FAST spr round 3 (radius: 25)
[04:53:44 -388548.834648] FAST spr round 4 (radius: 25)
[04:55:36 -388537.122329] FAST spr round 5 (radius: 25)
[04:57:20 -388537.122178] Model parameter optimization (eps = 1.000000)
[04:57:35 -388530.769132] SLOW spr round 1 (radius: 5)
[05:00:09 -388455.693066] SLOW spr round 2 (radius: 5)
[05:02:29 -388447.075957] SLOW spr round 3 (radius: 5)
[05:04:41 -388447.075928] SLOW spr round 4 (radius: 10)
[05:07:00 -388446.090149] SLOW spr round 5 (radius: 5)
[05:09:44 -388441.438278] SLOW spr round 6 (radius: 5)
[05:12:10 -388441.438229] SLOW spr round 7 (radius: 10)
[05:14:34 -388441.438225] SLOW spr round 8 (radius: 15)
[05:18:24 -388441.438220] SLOW spr round 9 (radius: 20)
[05:24:08 -388441.438216] SLOW spr round 10 (radius: 25)
[05:31:39 -388441.438212] Model parameter optimization (eps = 0.100000)

[05:31:50] ML tree search #6, logLikelihood: -388441.202067

[05:31:50 -1018676.657893] Initial branch length optimization
[05:31:53 -882324.598932] Model parameter optimization (eps = 10.000000)
[05:32:21 -878869.033521] AUTODETECT spr round 1 (radius: 5)
[05:34:28 -691261.939499] AUTODETECT spr round 2 (radius: 10)
[05:36:50 -520444.922691] AUTODETECT spr round 3 (radius: 15)
[05:39:18 -456203.109596] AUTODETECT spr round 4 (radius: 20)
[05:42:18 -438726.689743] AUTODETECT spr round 5 (radius: 25)
[05:45:34 -437778.004389] SPR radius for FAST iterations: 25 (autodetect)
[05:45:34 -437778.004389] Model parameter optimization (eps = 3.000000)
[05:45:42 -437775.431205] FAST spr round 1 (radius: 25)
[05:49:07 -390856.171968] FAST spr round 2 (radius: 25)
[05:51:40 -388946.062457] FAST spr round 3 (radius: 25)
[05:53:51 -388747.499756] FAST spr round 4 (radius: 25)
[05:55:49 -388707.238356] FAST spr round 5 (radius: 25)
[05:57:37 -388700.136585] FAST spr round 6 (radius: 25)
[05:59:21 -388700.136464] Model parameter optimization (eps = 1.000000)
[05:59:36 -388525.673156] SLOW spr round 1 (radius: 5)
[06:02:07 -388439.855976] SLOW spr round 2 (radius: 5)
[06:04:27 -388433.770755] SLOW spr round 3 (radius: 5)
[06:06:40 -388433.484256] SLOW spr round 4 (radius: 5)
[06:08:54 -388433.484183] SLOW spr round 5 (radius: 10)
[06:11:12 -388433.484175] SLOW spr round 6 (radius: 15)
[06:15:05 -388433.484167] SLOW spr round 7 (radius: 20)
[06:20:23 -388433.484159] SLOW spr round 8 (radius: 25)
[06:27:21 -388433.484151] Model parameter optimization (eps = 0.100000)

[06:27:30] ML tree search #7, logLikelihood: -388433.316596

[06:27:30 -1018395.071921] Initial branch length optimization
[06:27:33 -883855.694709] Model parameter optimization (eps = 10.000000)
[06:28:04 -880491.127403] AUTODETECT spr round 1 (radius: 5)
[06:30:12 -683927.776125] AUTODETECT spr round 2 (radius: 10)
[06:32:34 -507750.564335] AUTODETECT spr round 3 (radius: 15)
[06:35:17 -445537.614849] AUTODETECT spr round 4 (radius: 20)
[06:38:41 -429374.415424] AUTODETECT spr round 5 (radius: 25)
[06:42:26 -428859.089842] SPR radius for FAST iterations: 25 (autodetect)
[06:42:26 -428859.089842] Model parameter optimization (eps = 3.000000)
[06:42:54 -428657.127562] FAST spr round 1 (radius: 25)
[06:46:17 -389907.702165] FAST spr round 2 (radius: 25)
[06:48:41 -388721.934774] FAST spr round 3 (radius: 25)
[06:50:46 -388562.018579] FAST spr round 4 (radius: 25)
[06:52:39 -388539.403257] FAST spr round 5 (radius: 25)
[06:54:25 -388539.180032] FAST spr round 6 (radius: 25)
[06:56:10 -388539.179892] Model parameter optimization (eps = 1.000000)
[06:56:26 -388529.347003] SLOW spr round 1 (radius: 5)
[06:58:58 -388450.367734] SLOW spr round 2 (radius: 5)
[07:01:16 -388450.367202] SLOW spr round 3 (radius: 10)
[07:03:36 -388450.367180] SLOW spr round 4 (radius: 15)
[07:07:27 -388450.367174] SLOW spr round 5 (radius: 20)
[07:12:50 -388450.367170] SLOW spr round 6 (radius: 25)
[07:20:05 -388450.367166] Model parameter optimization (eps = 0.100000)

[07:20:15] ML tree search #8, logLikelihood: -388449.733062

[07:20:15 -1016840.806779] Initial branch length optimization
[07:20:18 -882384.105086] Model parameter optimization (eps = 10.000000)
[07:20:52 -878989.564610] AUTODETECT spr round 1 (radius: 5)
[07:22:59 -691918.563826] AUTODETECT spr round 2 (radius: 10)
[07:25:24 -518468.926707] AUTODETECT spr round 3 (radius: 15)
[07:28:03 -446067.666304] AUTODETECT spr round 4 (radius: 20)
[07:31:10 -432774.546197] AUTODETECT spr round 5 (radius: 25)
[07:34:50 -431915.514154] SPR radius for FAST iterations: 25 (autodetect)
[07:34:50 -431915.514154] Model parameter optimization (eps = 3.000000)
[07:34:57 -431912.198297] FAST spr round 1 (radius: 25)
[07:38:08 -390335.067464] FAST spr round 2 (radius: 25)
[07:40:29 -388802.067917] FAST spr round 3 (radius: 25)
[07:42:33 -388745.119428] FAST spr round 4 (radius: 25)
[07:44:31 -388734.484279] FAST spr round 5 (radius: 25)
[07:46:23 -388734.484259] Model parameter optimization (eps = 1.000000)
[07:46:39 -388597.030943] SLOW spr round 1 (radius: 5)
[07:49:19 -388486.366122] SLOW spr round 2 (radius: 5)
[07:51:51 -388459.523782] SLOW spr round 3 (radius: 5)
[07:54:08 -388450.923728] SLOW spr round 4 (radius: 5)
[07:56:25 -388448.966917] SLOW spr round 5 (radius: 5)
[07:58:40 -388447.902220] SLOW spr round 6 (radius: 5)
[08:00:55 -388447.902195] SLOW spr round 7 (radius: 10)
[08:03:16 -388447.902189] SLOW spr round 8 (radius: 15)
[08:07:08 -388447.902184] SLOW spr round 9 (radius: 20)
[08:12:18 -388447.902179] SLOW spr round 10 (radius: 25)
[08:18:58 -388447.902174] Model parameter optimization (eps = 0.100000)

[08:19:10] ML tree search #9, logLikelihood: -388444.922146

[08:19:10 -1019083.927693] Initial branch length optimization
[08:19:13 -880135.098362] Model parameter optimization (eps = 10.000000)
[08:19:40 -876795.086233] AUTODETECT spr round 1 (radius: 5)
[08:21:41 -696273.678470] AUTODETECT spr round 2 (radius: 10)
[08:23:58 -503551.322332] AUTODETECT spr round 3 (radius: 15)
[08:26:27 -441310.555911] AUTODETECT spr round 4 (radius: 20)
[08:29:20 -429027.388999] AUTODETECT spr round 5 (radius: 25)
[08:32:32 -428630.726550] SPR radius for FAST iterations: 25 (autodetect)
[08:32:32 -428630.726550] Model parameter optimization (eps = 3.000000)
[08:32:39 -428627.072613] FAST spr round 1 (radius: 25)
[08:35:52 -390433.960454] FAST spr round 2 (radius: 25)
[08:38:14 -388778.723836] FAST spr round 3 (radius: 25)
[08:40:20 -388678.143538] FAST spr round 4 (radius: 25)
[08:42:05 -388673.668419] FAST spr round 5 (radius: 25)
[08:43:45 -388673.668403] Model parameter optimization (eps = 1.000000)
[08:44:00 -388512.098630] SLOW spr round 1 (radius: 5)
[08:46:28 -388433.237745] SLOW spr round 2 (radius: 5)
[08:48:45 -388427.943861] SLOW spr round 3 (radius: 5)
[08:50:56 -388427.204101] SLOW spr round 4 (radius: 5)
[08:53:04 -388427.204031] SLOW spr round 5 (radius: 10)
[08:55:16 -388427.204026] SLOW spr round 6 (radius: 15)
[08:59:04 -388427.204022] SLOW spr round 7 (radius: 20)
[09:04:28 -388427.204017] SLOW spr round 8 (radius: 25)
[09:11:35 -388427.204012] Model parameter optimization (eps = 0.100000)

[09:11:40] ML tree search #10, logLikelihood: -388427.124470

[09:11:40 -1020949.236788] Initial branch length optimization
[09:11:43 -882767.670453] Model parameter optimization (eps = 10.000000)
[09:12:15 -879364.357328] AUTODETECT spr round 1 (radius: 5)
[09:14:16 -683420.441313] AUTODETECT spr round 2 (radius: 10)
[09:16:33 -526195.355237] AUTODETECT spr round 3 (radius: 15)
[09:19:02 -463968.851917] AUTODETECT spr round 4 (radius: 20)
[09:22:00 -442378.500473] AUTODETECT spr round 5 (radius: 25)
[09:25:51 -440682.894876] SPR radius for FAST iterations: 25 (autodetect)
[09:25:51 -440682.894876] Model parameter optimization (eps = 3.000000)
[09:25:59 -440679.872658] FAST spr round 1 (radius: 25)
[09:29:22 -390421.650453] FAST spr round 2 (radius: 25)
[09:31:43 -388839.962325] FAST spr round 3 (radius: 25)
[09:33:48 -388750.042905] FAST spr round 4 (radius: 25)
[09:35:36 -388729.484162] FAST spr round 5 (radius: 25)
[09:37:19 -388717.699697] FAST spr round 6 (radius: 25)
[09:38:57 -388717.699690] Model parameter optimization (eps = 1.000000)
[09:39:16 -388532.784630] SLOW spr round 1 (radius: 5)
[09:41:42 -388444.677036] SLOW spr round 2 (radius: 5)
[09:43:57 -388434.618039] SLOW spr round 3 (radius: 5)
[09:46:05 -388433.885114] SLOW spr round 4 (radius: 5)
[09:48:12 -388433.885108] SLOW spr round 5 (radius: 10)
[09:50:25 -388433.885103] SLOW spr round 6 (radius: 15)
[09:54:14 -388433.885098] SLOW spr round 7 (radius: 20)
[09:59:40 -388433.885093] SLOW spr round 8 (radius: 25)
[10:06:58 -388433.885088] Model parameter optimization (eps = 0.100000)

[10:07:10] ML tree search #11, logLikelihood: -388432.908093

[10:07:10 -1022406.031007] Initial branch length optimization
[10:07:13 -885967.165109] Model parameter optimization (eps = 10.000000)
[10:07:40 -882450.884684] AUTODETECT spr round 1 (radius: 5)
[10:09:40 -683511.550686] AUTODETECT spr round 2 (radius: 10)
[10:11:56 -511612.392398] AUTODETECT spr round 3 (radius: 15)
[10:14:31 -442045.127964] AUTODETECT spr round 4 (radius: 20)
[10:17:46 -429359.983664] AUTODETECT spr round 5 (radius: 25)
[10:21:00 -427962.682288] SPR radius for FAST iterations: 25 (autodetect)
[10:21:00 -427962.682288] Model parameter optimization (eps = 3.000000)
[10:21:07 -427960.403683] FAST spr round 1 (radius: 25)
[10:24:13 -390307.568846] FAST spr round 2 (radius: 25)
[10:26:29 -388952.726702] FAST spr round 3 (radius: 25)
[10:28:29 -388771.449650] FAST spr round 4 (radius: 25)
[10:30:19 -388748.947476] FAST spr round 5 (radius: 25)
[10:32:02 -388748.947437] Model parameter optimization (eps = 1.000000)
[10:32:07 -388748.426142] SLOW spr round 1 (radius: 5)
[10:34:37 -388677.531537] SLOW spr round 2 (radius: 5)
[10:36:55 -388670.440364] SLOW spr round 3 (radius: 5)
[10:39:07 -388670.440333] SLOW spr round 4 (radius: 10)
[10:41:23 -388670.440324] SLOW spr round 5 (radius: 15)
[10:45:14 -388670.440316] SLOW spr round 6 (radius: 20)
[10:50:32 -388670.440309] SLOW spr round 7 (radius: 25)
[10:57:41 -388670.440301] Model parameter optimization (eps = 0.100000)

[10:57:56] ML tree search #12, logLikelihood: -388485.847763

[10:57:56 -1020918.762319] Initial branch length optimization
[10:57:59 -883882.814425] Model parameter optimization (eps = 10.000000)
[10:58:27 -880497.365702] AUTODETECT spr round 1 (radius: 5)
[11:00:33 -683981.811962] AUTODETECT spr round 2 (radius: 10)
[11:02:57 -508264.431237] AUTODETECT spr round 3 (radius: 15)
[11:05:27 -446253.305667] AUTODETECT spr round 4 (radius: 20)
[11:08:36 -431796.672278] AUTODETECT spr round 5 (radius: 25)
[11:11:56 -429893.480581] SPR radius for FAST iterations: 25 (autodetect)
[11:11:56 -429893.480581] Model parameter optimization (eps = 3.000000)
[11:12:01 -429890.740451] FAST spr round 1 (radius: 25)
[11:15:16 -389838.543367] FAST spr round 2 (radius: 25)
[11:17:45 -388775.448012] FAST spr round 3 (radius: 25)
[11:19:52 -388729.712503] FAST spr round 4 (radius: 25)
[11:21:44 -388720.722012] FAST spr round 5 (radius: 25)
[11:23:29 -388720.721958] Model parameter optimization (eps = 1.000000)
[11:23:34 -388720.226525] SLOW spr round 1 (radius: 5)
[11:26:09 -388622.723935] SLOW spr round 2 (radius: 5)
[11:28:36 -388599.137550] SLOW spr round 3 (radius: 5)
[11:30:53 -388596.419203] SLOW spr round 4 (radius: 5)
[11:33:06 -388596.419092] SLOW spr round 5 (radius: 10)
[11:35:21 -388596.419085] SLOW spr round 6 (radius: 15)
[11:39:14 -388596.419078] SLOW spr round 7 (radius: 20)
[11:44:42 -388596.419072] SLOW spr round 8 (radius: 25)
[11:52:04 -388596.419065] Model parameter optimization (eps = 0.100000)

[11:52:08] ML tree search #13, logLikelihood: -388596.404041

[11:52:08 -1022728.254834] Initial branch length optimization
[11:52:11 -886796.881516] Model parameter optimization (eps = 10.000000)
[11:52:43 -883139.496326] AUTODETECT spr round 1 (radius: 5)
[11:54:49 -684641.225302] AUTODETECT spr round 2 (radius: 10)
[11:57:10 -507527.308227] AUTODETECT spr round 3 (radius: 15)
[11:59:42 -459628.211461] AUTODETECT spr round 4 (radius: 20)
[12:02:53 -439914.795948] AUTODETECT spr round 5 (radius: 25)
[12:06:25 -434533.514862] SPR radius for FAST iterations: 25 (autodetect)
[12:06:25 -434533.514862] Model parameter optimization (eps = 3.000000)
[12:06:55 -434347.213133] FAST spr round 1 (radius: 25)
[12:10:15 -390269.955748] FAST spr round 2 (radius: 25)
[12:12:40 -388705.054700] FAST spr round 3 (radius: 25)
[12:14:47 -388582.718109] FAST spr round 4 (radius: 25)
[12:16:41 -388557.265936] FAST spr round 5 (radius: 25)
[12:18:28 -388548.414503] FAST spr round 6 (radius: 25)
[12:20:11 -388548.414428] Model parameter optimization (eps = 1.000000)
[12:20:30 -388545.180262] SLOW spr round 1 (radius: 5)
[12:23:01 -388471.506438] SLOW spr round 2 (radius: 5)
[12:25:23 -388444.754545] SLOW spr round 3 (radius: 5)
[12:27:34 -388443.343499] SLOW spr round 4 (radius: 5)
[12:29:45 -388443.343322] SLOW spr round 5 (radius: 10)
[12:32:03 -388441.401390] SLOW spr round 6 (radius: 5)
[12:34:44 -388439.655251] SLOW spr round 7 (radius: 5)
[12:37:08 -388439.212364] SLOW spr round 8 (radius: 5)
[12:39:24 -388439.212213] SLOW spr round 9 (radius: 10)
[12:41:43 -388439.212205] SLOW spr round 10 (radius: 15)
[12:45:30 -388439.212201] SLOW spr round 11 (radius: 20)
[12:51:05 -388439.212196] SLOW spr round 12 (radius: 25)
[12:58:30 -388439.212191] Model parameter optimization (eps = 0.100000)

[12:58:39] ML tree search #14, logLikelihood: -388438.824270

[12:58:39 -1017889.419590] Initial branch length optimization
[12:58:43 -881522.211480] Model parameter optimization (eps = 10.000000)
[12:59:14 -878243.334641] AUTODETECT spr round 1 (radius: 5)
[13:01:20 -693180.477881] AUTODETECT spr round 2 (radius: 10)
[13:03:41 -517499.536789] AUTODETECT spr round 3 (radius: 15)
[13:06:12 -456826.839526] AUTODETECT spr round 4 (radius: 20)
[13:09:14 -441404.842724] AUTODETECT spr round 5 (radius: 25)
[13:12:49 -439603.295442] SPR radius for FAST iterations: 25 (autodetect)
[13:12:49 -439603.295442] Model parameter optimization (eps = 3.000000)
[13:13:09 -439413.972677] FAST spr round 1 (radius: 25)
[13:16:49 -389998.822591] FAST spr round 2 (radius: 25)
[13:19:19 -388721.503456] FAST spr round 3 (radius: 25)
[13:21:32 -388596.440547] FAST spr round 4 (radius: 25)
[13:23:24 -388579.940789] FAST spr round 5 (radius: 25)
[13:25:11 -388576.676708] FAST spr round 6 (radius: 25)
[13:26:53 -388576.676678] Model parameter optimization (eps = 1.000000)
[13:27:07 -388574.973478] SLOW spr round 1 (radius: 5)
[13:29:41 -388444.763881] SLOW spr round 2 (radius: 5)
[13:31:59 -388433.089514] SLOW spr round 3 (radius: 5)
[13:34:10 -388433.089370] SLOW spr round 4 (radius: 10)
[13:36:27 -388433.089365] SLOW spr round 5 (radius: 15)
[13:40:23 -388433.089361] SLOW spr round 6 (radius: 20)
[13:45:58 -388433.089357] SLOW spr round 7 (radius: 25)
[13:53:27 -388433.089353] Model parameter optimization (eps = 0.100000)

[13:53:32] ML tree search #15, logLikelihood: -388433.079419

[13:53:32 -1019384.806861] Initial branch length optimization
[13:53:35 -883719.766226] Model parameter optimization (eps = 10.000000)
[13:54:17 -880235.243760] AUTODETECT spr round 1 (radius: 5)
[13:56:23 -679351.107088] AUTODETECT spr round 2 (radius: 10)
[13:58:45 -517529.007992] AUTODETECT spr round 3 (radius: 15)
[14:01:22 -453825.978167] AUTODETECT spr round 4 (radius: 20)
[14:04:24 -433432.697147] AUTODETECT spr round 5 (radius: 25)
[14:07:30 -431448.566353] SPR radius for FAST iterations: 25 (autodetect)
[14:07:30 -431448.566353] Model parameter optimization (eps = 3.000000)
[14:07:48 -431294.476186] FAST spr round 1 (radius: 25)
[14:10:56 -390166.923264] FAST spr round 2 (radius: 25)
[14:13:22 -388737.681236] FAST spr round 3 (radius: 25)
[14:15:32 -388615.473028] FAST spr round 4 (radius: 25)
[14:17:26 -388591.746622] FAST spr round 5 (radius: 25)
[14:19:09 -388591.746616] Model parameter optimization (eps = 1.000000)
[14:19:23 -388570.900989] SLOW spr round 1 (radius: 5)
[14:21:56 -388485.157472] SLOW spr round 2 (radius: 5)
[14:24:18 -388466.947167] SLOW spr round 3 (radius: 5)
[14:26:32 -388465.283601] SLOW spr round 4 (radius: 5)
[14:28:44 -388465.283386] SLOW spr round 5 (radius: 10)
[14:31:00 -388465.283381] SLOW spr round 6 (radius: 15)
[14:34:47 -388465.283377] SLOW spr round 7 (radius: 20)
[14:39:50 -388465.283373] SLOW spr round 8 (radius: 25)
[14:46:30 -388465.283370] Model parameter optimization (eps = 0.100000)

[14:46:38] ML tree search #16, logLikelihood: -388465.177876

[14:46:38 -1015091.624435] Initial branch length optimization
[14:46:41 -881052.247053] Model parameter optimization (eps = 10.000000)
[14:47:12 -877647.224877] AUTODETECT spr round 1 (radius: 5)
[14:49:16 -691985.237148] AUTODETECT spr round 2 (radius: 10)
[14:51:38 -506830.847141] AUTODETECT spr round 3 (radius: 15)
[14:54:07 -443116.324186] AUTODETECT spr round 4 (radius: 20)
[14:57:12 -431759.113808] AUTODETECT spr round 5 (radius: 25)
[15:00:49 -428600.151806] SPR radius for FAST iterations: 25 (autodetect)
[15:00:49 -428600.151806] Model parameter optimization (eps = 3.000000)
[15:00:54 -428597.423499] FAST spr round 1 (radius: 25)
[15:04:11 -390380.283997] FAST spr round 2 (radius: 25)
[15:06:39 -388751.707137] FAST spr round 3 (radius: 25)
[15:08:44 -388685.288484] FAST spr round 4 (radius: 25)
[15:10:34 -388676.094986] FAST spr round 5 (radius: 25)
[15:12:19 -388676.094873] Model parameter optimization (eps = 1.000000)
[15:12:24 -388675.901015] SLOW spr round 1 (radius: 5)
[15:15:01 -388620.244483] SLOW spr round 2 (radius: 5)
[15:17:27 -388605.893339] SLOW spr round 3 (radius: 5)
[15:19:41 -388604.713096] SLOW spr round 4 (radius: 5)
[15:21:53 -388604.713082] SLOW spr round 5 (radius: 10)
[15:24:13 -388603.608588] SLOW spr round 6 (radius: 5)
[15:27:01 -388599.244926] SLOW spr round 7 (radius: 5)
[15:29:27 -388599.244750] SLOW spr round 8 (radius: 10)
[15:31:51 -388599.244743] SLOW spr round 9 (radius: 15)
[15:35:35 -388599.244736] SLOW spr round 10 (radius: 20)
[15:40:58 -388599.244730] SLOW spr round 11 (radius: 25)
[15:48:00 -388599.244723] Model parameter optimization (eps = 0.100000)

[15:48:04] ML tree search #17, logLikelihood: -388599.237735

[15:48:04 -1019654.541001] Initial branch length optimization
[15:48:08 -883666.132213] Model parameter optimization (eps = 10.000000)
[15:48:36 -880380.603677] AUTODETECT spr round 1 (radius: 5)
[15:50:42 -688210.584389] AUTODETECT spr round 2 (radius: 10)
[15:53:05 -525044.690780] AUTODETECT spr round 3 (radius: 15)
[15:55:37 -463739.281084] AUTODETECT spr round 4 (radius: 20)
[15:58:46 -433027.343750] AUTODETECT spr round 5 (radius: 25)
[16:02:03 -431827.468823] SPR radius for FAST iterations: 25 (autodetect)
[16:02:03 -431827.468823] Model parameter optimization (eps = 3.000000)
[16:02:22 -431608.862691] FAST spr round 1 (radius: 25)
[16:05:46 -389853.634528] FAST spr round 2 (radius: 25)
[16:08:10 -388641.323429] FAST spr round 3 (radius: 25)
[16:10:18 -388541.704334] FAST spr round 4 (radius: 25)
[16:12:09 -388529.118128] FAST spr round 5 (radius: 25)
[16:13:54 -388529.118033] Model parameter optimization (eps = 1.000000)
[16:14:06 -388526.864981] SLOW spr round 1 (radius: 5)
[16:16:37 -388449.033847] SLOW spr round 2 (radius: 5)
[16:18:58 -388444.141147] SLOW spr round 3 (radius: 5)
[16:21:11 -388444.141124] SLOW spr round 4 (radius: 10)
[16:23:30 -388444.141119] SLOW spr round 5 (radius: 15)
[16:27:27 -388444.141114] SLOW spr round 6 (radius: 20)
[16:33:12 -388444.141110] SLOW spr round 7 (radius: 25)
[16:40:51 -388444.141105] Model parameter optimization (eps = 0.100000)

[16:41:01] ML tree search #18, logLikelihood: -388443.957221

[16:41:01 -1016955.190354] Initial branch length optimization
[16:41:05 -881710.081451] Model parameter optimization (eps = 10.000000)
[16:41:33 -878406.164644] AUTODETECT spr round 1 (radius: 5)
[16:43:39 -680852.518934] AUTODETECT spr round 2 (radius: 10)
[16:45:59 -520104.019528] AUTODETECT spr round 3 (radius: 15)
[16:48:26 -449953.591727] AUTODETECT spr round 4 (radius: 20)
[16:51:35 -435207.972634] AUTODETECT spr round 5 (radius: 25)
[16:55:02 -434481.155619] SPR radius for FAST iterations: 25 (autodetect)
[16:55:02 -434481.155619] Model parameter optimization (eps = 3.000000)
[16:55:23 -434314.720156] FAST spr round 1 (radius: 25)
[16:58:45 -390149.460136] FAST spr round 2 (radius: 25)
[17:01:15 -388734.637334] FAST spr round 3 (radius: 25)
[17:03:26 -388589.814570] FAST spr round 4 (radius: 25)
[17:05:19 -388574.854053] FAST spr round 5 (radius: 25)
[17:07:06 -388567.028643] FAST spr round 6 (radius: 25)
[17:08:49 -388567.028629] Model parameter optimization (eps = 1.000000)
[17:08:54 -388566.798310] SLOW spr round 1 (radius: 5)
[17:11:24 -388460.487671] SLOW spr round 2 (radius: 5)
[17:13:43 -388451.668455] SLOW spr round 3 (radius: 5)
[17:15:56 -388451.668443] SLOW spr round 4 (radius: 10)
[17:18:15 -388451.668439] SLOW spr round 5 (radius: 15)
[17:22:05 -388451.668434] SLOW spr round 6 (radius: 20)
[17:27:25 -388451.668430] SLOW spr round 7 (radius: 25)
[17:34:28 -388451.668426] Model parameter optimization (eps = 0.100000)

[17:34:43] ML tree search #19, logLikelihood: -388447.780364

[17:34:44 -1022854.645495] Initial branch length optimization
[17:34:46 -883893.688648] Model parameter optimization (eps = 10.000000)
[17:35:24 -880442.584581] AUTODETECT spr round 1 (radius: 5)
[17:37:28 -690493.094300] AUTODETECT spr round 2 (radius: 10)
[17:39:45 -522870.885705] AUTODETECT spr round 3 (radius: 15)
[17:42:18 -451009.299546] AUTODETECT spr round 4 (radius: 20)
[17:45:13 -436080.162810] AUTODETECT spr round 5 (radius: 25)
[17:48:18 -433302.847437] SPR radius for FAST iterations: 25 (autodetect)
[17:48:18 -433302.847437] Model parameter optimization (eps = 3.000000)
[17:48:26 -433299.111183] FAST spr round 1 (radius: 25)
[17:51:43 -390137.429011] FAST spr round 2 (radius: 25)
[17:54:11 -388870.768523] FAST spr round 3 (radius: 25)
[17:56:21 -388750.362380] FAST spr round 4 (radius: 25)
[17:58:16 -388729.804085] FAST spr round 5 (radius: 25)
[18:00:03 -388726.507461] FAST spr round 6 (radius: 25)
[18:01:49 -388725.354868] FAST spr round 7 (radius: 25)
[18:03:31 -388725.354859] Model parameter optimization (eps = 1.000000)
[18:03:37 -388725.239569] SLOW spr round 1 (radius: 5)
[18:06:12 -388626.614951] SLOW spr round 2 (radius: 5)
[18:08:29 -388622.448386] SLOW spr round 3 (radius: 5)
[18:10:43 -388622.448323] SLOW spr round 4 (radius: 10)
[18:13:03 -388617.385077] SLOW spr round 5 (radius: 5)
[18:15:45 -388613.546637] SLOW spr round 6 (radius: 5)
[18:18:12 -388613.546570] SLOW spr round 7 (radius: 10)
[18:20:37 -388613.546563] SLOW spr round 8 (radius: 15)
[18:24:23 -388613.546556] SLOW spr round 9 (radius: 20)
[18:29:54 -388613.546549] SLOW spr round 10 (radius: 25)
[18:37:10 -388613.546542] Model parameter optimization (eps = 0.100000)

[18:37:13] ML tree search #20, logLikelihood: -388613.539812


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.193891,0.382712) (0.248977,0.462530) (0.305158,1.022606) (0.251973,1.978699) 
   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: -388425.030661

AIC score: 780860.061322 / AICc score: 8824920.061322 / BIC score: 789611.386589
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=581).
         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/B5MD39/3_mltree/B5MD39.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/3_mltree/B5MD39.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/3_mltree/B5MD39.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/B5MD39/3_mltree/B5MD39.raxml.log

Analysis started: 11-Jul-2021 06:00:58 / finished: 12-Jul-2021 00:38:12

Elapsed time: 67034.185 seconds