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 20-Jul-2021 16:06:26 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/2_msa/P01767_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/3_mltree/P01767 --seed 2 --threads 2 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/2_msa/P01767_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 123 sites

WARNING: Sequences sp_P01787_HVM18_MOUSE_10090 and sp_P01788_HVM19_MOUSE_10090 are exactly identical!
WARNING: Sequences sp_P01787_HVM18_MOUSE_10090 and sp_P01791_HVM22_MOUSE_10090 are exactly identical!
WARNING: Sequences sp_P01796_HVM27_MOUSE_10090 and sp_P01797_HVM28_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_A0A2I3SLP9_A0A2I3SLP9_PANTR_9598 and tr_A0A2R8ZD36_A0A2R8ZD36_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TKW9_A0A2I3TKW9_PANTR_9598 and tr_A0A2R8Z8X7_A0A2R8Z8X7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6UMB9_F6UMB9_ORNAN_9258 and tr_F6WX17_F6WX17_ORNAN_9258 are exactly identical!
WARNING: Sequences tr_A0A0G2JT95_A0A0G2JT95_RAT_10116 and tr_M0R8Q9_M0R8Q9_RAT_10116 are exactly identical!
WARNING: Sequences sp_P01768_HV330_HUMAN_9606 and sp_P0DP03_HV335_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3M2H8_A0A2I3M2H8_PAPAN_9555 and tr_A0A2K5XS06_A0A2K5XS06_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K6D0G6_A0A2K6D0G6_MACNE_9545 and tr_A0A2K5XSZ2_A0A2K5XSZ2_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 10

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/P01767/3_mltree/P01767.raxml.reduced.phy

Alignment comprises 1 partitions and 123 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 123 / 123
Gaps: 10.12 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/3_mltree/P01767.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 123 / 9840
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -126923.005916] Initial branch length optimization
[00:00:02 -111375.064728] Model parameter optimization (eps = 10.000000)
[00:00:31 -110565.781368] AUTODETECT spr round 1 (radius: 5)
[00:02:47 -97410.983834] AUTODETECT spr round 2 (radius: 10)
[00:05:37 -78878.880300] AUTODETECT spr round 3 (radius: 15)
[00:08:48 -67026.143305] AUTODETECT spr round 4 (radius: 20)
[00:12:50 -63366.890848] AUTODETECT spr round 5 (radius: 25)
[00:17:52 -62702.328113] SPR radius for FAST iterations: 25 (autodetect)
[00:17:52 -62702.328113] Model parameter optimization (eps = 3.000000)
[00:18:15 -62673.470032] FAST spr round 1 (radius: 25)
[00:22:17 -55326.102589] FAST spr round 2 (radius: 25)
[00:24:58 -54942.372526] FAST spr round 3 (radius: 25)
[00:27:21 -54899.615603] FAST spr round 4 (radius: 25)
[00:29:25 -54884.693320] FAST spr round 5 (radius: 25)
[00:31:20 -54882.170235] FAST spr round 6 (radius: 25)
[00:33:11 -54882.170069] Model parameter optimization (eps = 1.000000)
[00:33:18 -54882.002455] SLOW spr round 1 (radius: 5)
[00:35:47 -54853.635591] SLOW spr round 2 (radius: 5)
[00:38:13 -54848.793175] SLOW spr round 3 (radius: 5)
[00:40:30 -54848.149873] SLOW spr round 4 (radius: 5)
[00:42:45 -54848.149841] SLOW spr round 5 (radius: 10)
[00:45:05 -54841.715278] SLOW spr round 6 (radius: 5)
[00:47:52 -54840.243201] SLOW spr round 7 (radius: 5)
[00:50:22 -54840.241729] SLOW spr round 8 (radius: 10)
[00:52:47 -54840.240581] SLOW spr round 9 (radius: 15)
[00:57:03 -54836.706991] SLOW spr round 10 (radius: 5)
[00:59:56 -54836.706256] SLOW spr round 11 (radius: 10)
[01:02:36 -54834.621738] SLOW spr round 12 (radius: 5)
[01:05:20 -54833.144154] SLOW spr round 13 (radius: 5)
[01:07:47 -54833.143804] SLOW spr round 14 (radius: 10)
[01:10:09 -54833.143584] SLOW spr round 15 (radius: 15)
[01:14:21 -54833.143406] SLOW spr round 16 (radius: 20)
[01:20:56 -54831.689547] SLOW spr round 17 (radius: 5)
[01:23:50 -54830.052443] SLOW spr round 18 (radius: 5)
[01:26:22 -54830.052321] SLOW spr round 19 (radius: 10)
[01:28:44 -54829.533769] SLOW spr round 20 (radius: 5)
[01:31:26 -54827.570914] SLOW spr round 21 (radius: 5)
[01:33:50 -54827.570911] SLOW spr round 22 (radius: 10)
[01:36:11 -54827.570909] SLOW spr round 23 (radius: 15)
[01:40:19 -54827.570906] SLOW spr round 24 (radius: 20)
[01:45:15] [worker #1] ML tree search #2, logLikelihood: -54614.346766
[01:46:44 -54827.570905] SLOW spr round 25 (radius: 25)
[01:54:43 -54808.781770] SLOW spr round 26 (radius: 5)
[01:57:38 -54785.508848] SLOW spr round 27 (radius: 5)
[02:00:12 -54785.508807] SLOW spr round 28 (radius: 10)
[02:02:36 -54785.508804] SLOW spr round 29 (radius: 15)
[02:06:39 -54785.508802] SLOW spr round 30 (radius: 20)
[02:13:10 -54785.508801] SLOW spr round 31 (radius: 25)
[02:21:08 -54785.508800] Model parameter optimization (eps = 0.100000)

[02:21:24] [worker #0] ML tree search #1, logLikelihood: -54784.439429

[02:21:24 -127560.783953] Initial branch length optimization
[02:21:27 -111452.110990] Model parameter optimization (eps = 10.000000)
[02:22:00 -110693.343866] AUTODETECT spr round 1 (radius: 5)
[02:24:21 -99178.930613] AUTODETECT spr round 2 (radius: 10)
[02:27:10 -80368.753031] AUTODETECT spr round 3 (radius: 15)
[02:30:25 -68267.252866] AUTODETECT spr round 4 (radius: 20)
[02:34:18 -63692.377576] AUTODETECT spr round 5 (radius: 25)
[02:39:11 -62514.826469] SPR radius for FAST iterations: 25 (autodetect)
[02:39:11 -62514.826469] Model parameter optimization (eps = 3.000000)
[02:39:52 -62469.139823] FAST spr round 1 (radius: 25)
[02:43:59 -55268.116390] FAST spr round 2 (radius: 25)
[02:46:52 -54717.777357] FAST spr round 3 (radius: 25)
[02:49:22 -54674.827573] FAST spr round 4 (radius: 25)
[02:51:29 -54667.442649] FAST spr round 5 (radius: 25)
[02:53:26 -54667.387724] Model parameter optimization (eps = 1.000000)
[02:53:44 -54662.600469] SLOW spr round 1 (radius: 5)
[02:56:19 -54655.059629] SLOW spr round 2 (radius: 5)
[02:58:47 -54647.809679] SLOW spr round 3 (radius: 5)
[03:01:13 -54640.979464] SLOW spr round 4 (radius: 5)
[03:03:31 -54640.025733] SLOW spr round 5 (radius: 5)
[03:05:49 -54638.517415] SLOW spr round 6 (radius: 5)
[03:08:05 -54638.435304] SLOW spr round 7 (radius: 10)
[03:10:29 -54629.532734] SLOW spr round 8 (radius: 5)
[03:13:19 -54621.371438] SLOW spr round 9 (radius: 5)
[03:13:20] [worker #1] ML tree search #4, logLikelihood: -54670.183455
[03:15:51 -54618.323865] SLOW spr round 10 (radius: 5)
[03:18:14 -54616.625666] SLOW spr round 11 (radius: 5)
[03:20:31 -54616.514014] SLOW spr round 12 (radius: 5)
[03:22:45 -54616.513925] SLOW spr round 13 (radius: 10)
[03:25:07 -54611.099124] SLOW spr round 14 (radius: 5)
[03:27:53 -54606.759235] SLOW spr round 15 (radius: 5)
[03:30:20 -54606.532986] SLOW spr round 16 (radius: 5)
[03:32:38 -54606.531257] SLOW spr round 17 (radius: 10)
[03:34:57 -54605.557292] SLOW spr round 18 (radius: 5)
[03:37:40 -54605.178069] SLOW spr round 19 (radius: 5)
[03:40:06 -54605.178017] SLOW spr round 20 (radius: 10)
[03:42:27 -54604.687452] SLOW spr round 21 (radius: 5)
[03:45:09 -54604.687392] SLOW spr round 22 (radius: 10)
[03:47:42 -54604.687391] SLOW spr round 23 (radius: 15)
[03:51:53 -54598.242801] SLOW spr round 24 (radius: 5)
[03:54:41 -54598.242725] SLOW spr round 25 (radius: 10)
[03:57:22 -54593.850019] SLOW spr round 26 (radius: 5)
[04:00:07 -54592.420696] SLOW spr round 27 (radius: 5)
[04:02:36 -54592.420670] SLOW spr round 28 (radius: 10)
[04:05:00 -54592.420670] SLOW spr round 29 (radius: 15)
[04:09:30 -54591.953274] SLOW spr round 30 (radius: 5)
[04:12:23 -54589.448219] SLOW spr round 31 (radius: 5)
[04:14:55 -54589.387058] SLOW spr round 32 (radius: 10)
[04:17:21 -54587.878853] SLOW spr round 33 (radius: 5)
[04:20:01 -54587.761856] SLOW spr round 34 (radius: 5)
[04:22:27 -54587.761044] SLOW spr round 35 (radius: 10)
[04:24:49 -54587.761035] SLOW spr round 36 (radius: 15)
[04:28:48] [worker #1] ML tree search #6, logLikelihood: -54614.682802
[04:29:17 -54587.247207] SLOW spr round 37 (radius: 5)
[04:32:04 -54587.247155] SLOW spr round 38 (radius: 10)
[04:34:44 -54587.247155] SLOW spr round 39 (radius: 15)
[04:38:52 -54587.247155] SLOW spr round 40 (radius: 20)
[04:45:59 -54587.247155] SLOW spr round 41 (radius: 25)
[04:54:12 -54587.247155] Model parameter optimization (eps = 0.100000)

[04:54:19] [worker #0] ML tree search #3, logLikelihood: -54587.150688

[04:54:19 -126771.913330] Initial branch length optimization
[04:54:22 -111164.952368] Model parameter optimization (eps = 10.000000)
[04:54:55 -110426.061825] AUTODETECT spr round 1 (radius: 5)
[04:57:14 -97027.345150] AUTODETECT spr round 2 (radius: 10)
[04:59:59 -80382.845948] AUTODETECT spr round 3 (radius: 15)
[05:03:22 -67347.028943] AUTODETECT spr round 4 (radius: 20)
[05:08:10 -62321.212963] AUTODETECT spr round 5 (radius: 25)
[05:14:15 -61336.602707] SPR radius for FAST iterations: 25 (autodetect)
[05:14:15 -61336.602707] Model parameter optimization (eps = 3.000000)
[05:14:43 -61318.882809] FAST spr round 1 (radius: 25)
[05:18:40 -55201.480388] FAST spr round 2 (radius: 25)
[05:21:26 -54810.724235] FAST spr round 3 (radius: 25)
[05:23:48 -54719.527948] FAST spr round 4 (radius: 25)
[05:25:58 -54671.060353] FAST spr round 5 (radius: 25)
[05:27:59 -54668.932988] FAST spr round 6 (radius: 25)
[05:29:50 -54668.932774] Model parameter optimization (eps = 1.000000)
[05:30:02 -54668.489304] SLOW spr round 1 (radius: 5)
[05:32:31 -54640.521821] SLOW spr round 2 (radius: 5)
[05:34:52 -54635.031008] SLOW spr round 3 (radius: 5)
[05:37:07 -54634.878966] SLOW spr round 4 (radius: 5)
[05:39:18 -54634.878703] SLOW spr round 5 (radius: 10)
[05:41:33 -54633.758557] SLOW spr round 6 (radius: 5)
[05:44:13 -54633.758537] SLOW spr round 7 (radius: 10)
[05:46:44 -54632.948724] SLOW spr round 8 (radius: 5)
[05:49:22 -54632.468719] SLOW spr round 9 (radius: 5)
[05:51:47 -54632.468673] SLOW spr round 10 (radius: 10)
[05:54:09 -54631.846507] SLOW spr round 11 (radius: 5)
[05:56:51 -54631.606893] SLOW spr round 12 (radius: 5)
[05:59:17 -54631.228589] SLOW spr round 13 (radius: 5)
[06:01:34 -54631.228450] SLOW spr round 14 (radius: 10)
[06:03:52 -54630.867579] SLOW spr round 15 (radius: 5)
[06:06:34 -54630.586082] SLOW spr round 16 (radius: 5)
[06:08:59 -54630.585613] SLOW spr round 17 (radius: 10)
[06:11:22 -54630.379119] SLOW spr round 18 (radius: 5)
[06:14:02 -54630.375030] SLOW spr round 19 (radius: 10)
[06:16:34 -54630.375011] SLOW spr round 20 (radius: 15)
[06:20:34 -54629.800092] SLOW spr round 21 (radius: 5)
[06:23:21 -54627.952430] SLOW spr round 22 (radius: 5)
[06:25:48 -54627.952407] SLOW spr round 23 (radius: 10)
[06:28:10 -54627.952407] SLOW spr round 24 (radius: 15)
[06:32:22 -54627.629667] SLOW spr round 25 (radius: 5)
[06:35:07 -54627.629662] SLOW spr round 26 (radius: 10)
[06:37:41 -54627.629662] SLOW spr round 27 (radius: 15)
[06:41:39 -54627.018195] SLOW spr round 28 (radius: 5)
[06:44:24 -54627.018194] SLOW spr round 29 (radius: 10)
[06:47:01 -54627.018194] SLOW spr round 30 (radius: 15)
[06:50:56 -54627.018194] SLOW spr round 31 (radius: 20)
[06:57:36 -54626.328706] SLOW spr round 32 (radius: 5)
[07:00:22 -54626.328706] SLOW spr round 33 (radius: 10)
[07:00:34] [worker #1] ML tree search #8, logLikelihood: -54603.538916
[07:03:04 -54626.328706] SLOW spr round 34 (radius: 15)
[07:07:00 -54626.328706] SLOW spr round 35 (radius: 20)
[07:13:44 -54626.328706] SLOW spr round 36 (radius: 25)
[07:21:40 -54626.328706] Model parameter optimization (eps = 0.100000)

[07:21:53] [worker #0] ML tree search #5, logLikelihood: -54625.782043

[07:21:53 -127178.345207] Initial branch length optimization
[07:21:55 -111396.673348] Model parameter optimization (eps = 10.000000)
[07:22:28 -110598.179293] AUTODETECT spr round 1 (radius: 5)
[07:24:47 -98310.151480] AUTODETECT spr round 2 (radius: 10)
[07:27:38 -81249.159112] AUTODETECT spr round 3 (radius: 15)
[07:31:05 -68326.021224] AUTODETECT spr round 4 (radius: 20)
[07:35:37 -62642.877038] AUTODETECT spr round 5 (radius: 25)
[07:41:12 -61638.057916] SPR radius for FAST iterations: 25 (autodetect)
[07:41:12 -61638.057916] Model parameter optimization (eps = 3.000000)
[07:41:33 -61592.807701] FAST spr round 1 (radius: 25)
[07:45:33 -55135.322117] FAST spr round 2 (radius: 25)
[07:48:17 -54726.343265] FAST spr round 3 (radius: 25)
[07:50:41 -54676.344002] FAST spr round 4 (radius: 25)
[07:52:43 -54666.135295] FAST spr round 5 (radius: 25)
[07:54:37 -54665.546608] FAST spr round 6 (radius: 25)
[07:56:29 -54662.714190] FAST spr round 7 (radius: 25)
[07:58:18 -54662.713686] Model parameter optimization (eps = 1.000000)
[07:58:29 -54662.309967] SLOW spr round 1 (radius: 5)
[08:00:53 -54646.585490] SLOW spr round 2 (radius: 5)
[08:03:11 -54627.958242] SLOW spr round 3 (radius: 5)
[08:05:25 -54622.858703] SLOW spr round 4 (radius: 5)
[08:07:34 -54622.858643] SLOW spr round 5 (radius: 10)
[08:09:46 -54622.437469] SLOW spr round 6 (radius: 5)
[08:12:25 -54619.870462] SLOW spr round 7 (radius: 5)
[08:14:48 -54619.870459] SLOW spr round 8 (radius: 10)
[08:17:05 -54619.030156] SLOW spr round 9 (radius: 5)
[08:19:42 -54619.030140] SLOW spr round 10 (radius: 10)
[08:22:08 -54618.805857] SLOW spr round 11 (radius: 5)
[08:24:45 -54618.805770] SLOW spr round 12 (radius: 10)
[08:27:10 -54615.973183] SLOW spr round 13 (radius: 5)
[08:29:45 -54615.973183] SLOW spr round 14 (radius: 10)
[08:32:09 -54615.866865] SLOW spr round 15 (radius: 5)
[08:34:45 -54615.866717] SLOW spr round 16 (radius: 10)
[08:37:10 -54615.866716] SLOW spr round 17 (radius: 15)
[08:41:07 -54611.865326] SLOW spr round 18 (radius: 5)
[08:43:50 -54611.672075] SLOW spr round 19 (radius: 5)
[08:46:15 -54611.671733] SLOW spr round 20 (radius: 10)
[08:48:32 -54611.671732] SLOW spr round 21 (radius: 15)
[08:52:39 -54610.728503] SLOW spr round 22 (radius: 5)
[08:55:22 -54609.304518] SLOW spr round 23 (radius: 5)
[08:57:46 -54609.304518] SLOW spr round 24 (radius: 10)
[09:00:03 -54609.304518] SLOW spr round 25 (radius: 15)
[09:04:10 -54609.304518] SLOW spr round 26 (radius: 20)
[09:10:25 -54608.706899] SLOW spr round 27 (radius: 5)
[09:13:10 -54608.706874] SLOW spr round 28 (radius: 10)
[09:15:46 -54608.706874] SLOW spr round 29 (radius: 15)
[09:19:37 -54608.706874] SLOW spr round 30 (radius: 20)
[09:26:00 -54608.706874] SLOW spr round 31 (radius: 25)
[09:33:12 -54608.706874] Model parameter optimization (eps = 0.100000)

[09:33:18] [worker #0] ML tree search #7, logLikelihood: -54608.692104

[09:33:18 -127456.781077] Initial branch length optimization
[09:33:20 -111552.481216] Model parameter optimization (eps = 10.000000)
[09:33:50 -110781.475722] AUTODETECT spr round 1 (radius: 5)
[09:36:04 -96944.623164] AUTODETECT spr round 2 (radius: 10)
[09:38:42 -79325.212465] AUTODETECT spr round 3 (radius: 15)
[09:41:51 -67260.932422] AUTODETECT spr round 4 (radius: 20)
[09:45:37 -62944.331594] AUTODETECT spr round 5 (radius: 25)
[09:49:49 -61680.440523] SPR radius for FAST iterations: 25 (autodetect)
[09:49:49 -61680.440523] Model parameter optimization (eps = 3.000000)
[09:50:12 -61649.590914] FAST spr round 1 (radius: 25)
[09:53:45 -55050.133094] FAST spr round 2 (radius: 25)
[09:55:53] [worker #1] ML tree search #10, logLikelihood: -54616.586521
[09:56:22 -54715.169453] FAST spr round 3 (radius: 25)
[09:58:35 -54661.591982] FAST spr round 4 (radius: 25)
[10:00:34 -54656.512262] FAST spr round 5 (radius: 25)
[10:02:24 -54655.634045] FAST spr round 6 (radius: 25)
[10:04:10 -54655.632826] Model parameter optimization (eps = 1.000000)
[10:04:17 -54655.395954] SLOW spr round 1 (radius: 5)
[10:06:40 -54640.041071] SLOW spr round 2 (radius: 5)
[10:08:57 -54634.267352] SLOW spr round 3 (radius: 5)
[10:11:06 -54634.267296] SLOW spr round 4 (radius: 10)
[10:13:20 -54628.489561] SLOW spr round 5 (radius: 5)
[10:15:57 -54628.489558] SLOW spr round 6 (radius: 10)
[10:18:26 -54626.631177] SLOW spr round 7 (radius: 5)
[10:21:01 -54625.377614] SLOW spr round 8 (radius: 5)
[10:23:21 -54625.377614] SLOW spr round 9 (radius: 10)
[10:25:36 -54625.377614] SLOW spr round 10 (radius: 15)
[10:29:48 -54615.895572] SLOW spr round 11 (radius: 5)
[10:32:35 -54612.630336] SLOW spr round 12 (radius: 5)
[10:34:59 -54612.630208] SLOW spr round 13 (radius: 10)
[10:37:19 -54608.986761] SLOW spr round 14 (radius: 5)
[10:39:57 -54608.043204] SLOW spr round 15 (radius: 5)
[10:42:18 -54608.042371] SLOW spr round 16 (radius: 10)
[10:44:35 -54608.042145] SLOW spr round 17 (radius: 15)
[10:48:47 -54607.197692] SLOW spr round 18 (radius: 5)
[10:51:35 -54605.458225] SLOW spr round 19 (radius: 5)
[10:54:00 -54605.458220] SLOW spr round 20 (radius: 10)
[10:56:18 -54605.458220] SLOW spr round 21 (radius: 15)
[11:00:25 -54605.458220] SLOW spr round 22 (radius: 20)
[11:07:36 -54605.458220] SLOW spr round 23 (radius: 25)
[11:16:27 -54604.441924] SLOW spr round 24 (radius: 5)
[11:19:17 -54603.087213] SLOW spr round 25 (radius: 5)
[11:21:43 -54603.087089] SLOW spr round 26 (radius: 10)
[11:24:03 -54603.087089] SLOW spr round 27 (radius: 15)
[11:28:09 -54603.087089] SLOW spr round 28 (radius: 20)
[11:35:10 -54603.087089] SLOW spr round 29 (radius: 25)
[11:43:38 -54602.226010] SLOW spr round 30 (radius: 5)
[11:46:25 -54602.003611] SLOW spr round 31 (radius: 5)
[11:48:51 -54602.003609] SLOW spr round 32 (radius: 10)
[11:51:10 -54602.003609] SLOW spr round 33 (radius: 15)
[11:53:42] [worker #1] ML tree search #12, logLikelihood: -54602.456501
[11:55:14 -54602.003609] SLOW spr round 34 (radius: 20)
[12:02:07 -54602.003609] SLOW spr round 35 (radius: 25)
[12:10:32 -54602.003609] Model parameter optimization (eps = 0.100000)

[12:10:39] [worker #0] ML tree search #9, logLikelihood: -54601.934762

[12:10:39 -127134.052192] Initial branch length optimization
[12:10:41 -111392.595579] Model parameter optimization (eps = 10.000000)
[12:11:12 -110584.779479] AUTODETECT spr round 1 (radius: 5)
[12:13:27 -96572.642064] AUTODETECT spr round 2 (radius: 10)
[12:16:03 -79934.580172] AUTODETECT spr round 3 (radius: 15)
[12:19:11 -68373.610464] AUTODETECT spr round 4 (radius: 20)
[12:23:04 -63861.377460] AUTODETECT spr round 5 (radius: 25)
[12:28:21 -62337.311258] SPR radius for FAST iterations: 25 (autodetect)
[12:28:21 -62337.311258] Model parameter optimization (eps = 3.000000)
[12:28:45 -62315.386817] FAST spr round 1 (radius: 25)
[12:32:46 -55196.628131] FAST spr round 2 (radius: 25)
[12:35:33 -54754.062290] FAST spr round 3 (radius: 25)
[12:37:53 -54714.156169] FAST spr round 4 (radius: 25)
[12:39:58 -54708.189376] FAST spr round 5 (radius: 25)
[12:41:56 -54704.202629] FAST spr round 6 (radius: 25)
[12:43:45 -54703.402399] FAST spr round 7 (radius: 25)
[12:45:34 -54700.822783] FAST spr round 8 (radius: 25)
[12:47:18 -54700.822460] Model parameter optimization (eps = 1.000000)
[12:47:27 -54700.292177] SLOW spr round 1 (radius: 5)
[12:49:50 -54685.878560] SLOW spr round 2 (radius: 5)
[12:52:07 -54682.403285] SLOW spr round 3 (radius: 5)
[12:54:18 -54682.402791] SLOW spr round 4 (radius: 10)
[12:56:33 -54678.912215] SLOW spr round 5 (radius: 5)
[12:59:14 -54674.485391] SLOW spr round 6 (radius: 5)
[13:01:40 -54673.499519] SLOW spr round 7 (radius: 5)
[13:03:56 -54673.499255] SLOW spr round 8 (radius: 10)
[13:06:12 -54672.441197] SLOW spr round 9 (radius: 5)
[13:08:52 -54670.831455] SLOW spr round 10 (radius: 5)
[13:11:15 -54670.471993] SLOW spr round 11 (radius: 5)
[13:13:29 -54670.471992] SLOW spr round 12 (radius: 10)
[13:15:45 -54670.471992] SLOW spr round 13 (radius: 15)
[13:20:09 -54667.156602] SLOW spr round 14 (radius: 5)
[13:22:51 -54667.156552] SLOW spr round 15 (radius: 10)
[13:25:26 -54666.793642] SLOW spr round 16 (radius: 5)
[13:28:00 -54666.793029] SLOW spr round 17 (radius: 10)
[13:30:25 -54666.793026] SLOW spr round 18 (radius: 15)
[13:34:26 -54666.793026] SLOW spr round 19 (radius: 20)
[13:41:39 -54658.938251] SLOW spr round 20 (radius: 5)
[13:44:26 -54655.736581] SLOW spr round 21 (radius: 5)
[13:46:52 -54655.735599] SLOW spr round 22 (radius: 10)
[13:49:12 -54655.735587] SLOW spr round 23 (radius: 15)
[13:53:24 -54655.735587] SLOW spr round 24 (radius: 20)
[14:00:23 -54651.084505] SLOW spr round 25 (radius: 5)
[14:03:13 -54641.139397] SLOW spr round 26 (radius: 5)
[14:05:39 -54641.139340] SLOW spr round 27 (radius: 10)
[14:07:59 -54641.139340] SLOW spr round 28 (radius: 15)
[14:12:21 -54641.139340] SLOW spr round 29 (radius: 20)
[14:19:32 -54641.139340] SLOW spr round 30 (radius: 25)
[14:28:31 -54641.139340] Model parameter optimization (eps = 0.100000)

[14:28:40] [worker #0] ML tree search #11, logLikelihood: -54641.125421

[14:28:40 -127561.310800] Initial branch length optimization
[14:28:42 -111498.776247] Model parameter optimization (eps = 10.000000)
[14:29:14 -110704.904935] AUTODETECT spr round 1 (radius: 5)
[14:31:29 -96710.132520] AUTODETECT spr round 2 (radius: 10)
[14:32:34] [worker #1] ML tree search #14, logLikelihood: -54611.052745
[14:34:08 -79623.306824] AUTODETECT spr round 3 (radius: 15)
[14:37:23 -67048.220780] AUTODETECT spr round 4 (radius: 20)
[14:41:05 -62422.490135] AUTODETECT spr round 5 (radius: 25)
[14:45:34 -61877.923510] SPR radius for FAST iterations: 25 (autodetect)
[14:45:34 -61877.923510] Model parameter optimization (eps = 3.000000)
[14:45:54 -61833.933387] FAST spr round 1 (radius: 25)
[14:49:40 -55480.948701] FAST spr round 2 (radius: 25)
[14:52:21 -54745.382386] FAST spr round 3 (radius: 25)
[14:54:34 -54703.006313] FAST spr round 4 (radius: 25)
[14:56:33 -54698.837424] FAST spr round 5 (radius: 25)
[14:58:23 -54698.122335] FAST spr round 6 (radius: 25)
[15:00:10 -54698.121911] Model parameter optimization (eps = 1.000000)
[15:00:17 -54697.915045] SLOW spr round 1 (radius: 5)
[15:02:39 -54661.298951] SLOW spr round 2 (radius: 5)
[15:04:56 -54656.551787] SLOW spr round 3 (radius: 5)
[15:07:08 -54645.739771] SLOW spr round 4 (radius: 5)
[15:09:17 -54643.805635] SLOW spr round 5 (radius: 5)
[15:11:25 -54643.805626] SLOW spr round 6 (radius: 10)
[15:13:38 -54641.150726] SLOW spr round 7 (radius: 5)
[15:16:19 -54638.714530] SLOW spr round 8 (radius: 5)
[15:18:41 -54638.714477] SLOW spr round 9 (radius: 10)
[15:20:58 -54638.548572] SLOW spr round 10 (radius: 5)
[15:23:35 -54637.578013] SLOW spr round 11 (radius: 5)
[15:25:57 -54637.577615] SLOW spr round 12 (radius: 10)
[15:28:13 -54637.519839] SLOW spr round 13 (radius: 15)
[15:32:26 -54632.634816] SLOW spr round 14 (radius: 5)
[15:35:09 -54632.630194] SLOW spr round 15 (radius: 10)
[15:37:40 -54632.630194] SLOW spr round 16 (radius: 15)
[15:41:33 -54632.053864] SLOW spr round 17 (radius: 5)
[15:44:19 -54632.053845] SLOW spr round 18 (radius: 10)
[15:46:51 -54632.053845] SLOW spr round 19 (radius: 15)
[15:50:43 -54632.053845] SLOW spr round 20 (radius: 20)
[15:57:58 -54630.483860] SLOW spr round 21 (radius: 5)
[16:00:44 -54628.314974] SLOW spr round 22 (radius: 5)
[16:03:11 -54628.314933] SLOW spr round 23 (radius: 10)
[16:05:29 -54626.949558] SLOW spr round 24 (radius: 5)
[16:08:07] [worker #1] ML tree search #16, logLikelihood: -54615.337828
[16:08:07 -54625.124504] SLOW spr round 25 (radius: 5)
[16:10:29 -54625.124503] SLOW spr round 26 (radius: 10)
[16:12:45 -54625.124503] SLOW spr round 27 (radius: 15)
[16:16:52 -54625.124503] SLOW spr round 28 (radius: 20)
[16:23:52 -54625.124503] SLOW spr round 29 (radius: 25)
[16:32:48 -54625.124503] Model parameter optimization (eps = 0.100000)

[16:32:58] [worker #0] ML tree search #13, logLikelihood: -54624.262360

[16:32:58 -127600.136170] Initial branch length optimization
[16:33:00 -111528.167853] Model parameter optimization (eps = 10.000000)
[16:33:30 -110746.711315] AUTODETECT spr round 1 (radius: 5)
[16:35:43 -98253.420895] AUTODETECT spr round 2 (radius: 10)
[16:38:19 -81600.719161] AUTODETECT spr round 3 (radius: 15)
[16:41:35 -70055.199806] AUTODETECT spr round 4 (radius: 20)
[16:45:30 -65175.091785] AUTODETECT spr round 5 (radius: 25)
[16:50:23 -63472.168356] SPR radius for FAST iterations: 25 (autodetect)
[16:50:23 -63472.168356] Model parameter optimization (eps = 3.000000)
[16:50:44 -63419.772035] FAST spr round 1 (radius: 25)
[16:54:41 -55200.492735] FAST spr round 2 (radius: 25)
[16:57:24 -54743.545368] FAST spr round 3 (radius: 25)
[16:59:41 -54701.227670] FAST spr round 4 (radius: 25)
[17:01:45 -54685.932335] FAST spr round 5 (radius: 25)
[17:03:37 -54684.649607] FAST spr round 6 (radius: 25)
[17:05:26 -54683.908853] FAST spr round 7 (radius: 25)
[17:07:12 -54683.908852] Model parameter optimization (eps = 1.000000)
[17:07:27 -54680.685143] SLOW spr round 1 (radius: 5)
[17:09:53 -54661.407011] SLOW spr round 2 (radius: 5)
[17:12:11 -54654.075529] SLOW spr round 3 (radius: 5)
[17:14:27 -54652.387130] SLOW spr round 4 (radius: 5)
[17:16:39 -54652.386853] SLOW spr round 5 (radius: 10)
[17:18:55 -54647.840809] SLOW spr round 6 (radius: 5)
[17:21:39 -54636.112600] SLOW spr round 7 (radius: 5)
[17:24:08 -54631.889519] SLOW spr round 8 (radius: 5)
[17:26:26 -54631.546034] SLOW spr round 9 (radius: 5)
[17:28:39 -54631.545918] SLOW spr round 10 (radius: 10)
[17:30:53 -54629.027286] SLOW spr round 11 (radius: 5)
[17:33:33 -54628.554205] SLOW spr round 12 (radius: 5)
[17:35:56 -54628.554158] SLOW spr round 13 (radius: 10)
[17:38:15 -54627.940626] SLOW spr round 14 (radius: 5)
[17:40:52 -54625.590030] SLOW spr round 15 (radius: 5)
[17:43:15 -54625.590016] SLOW spr round 16 (radius: 10)
[17:45:33 -54625.123973] SLOW spr round 17 (radius: 5)
[17:48:11 -54625.123815] SLOW spr round 18 (radius: 10)
[17:50:39 -54625.123812] SLOW spr round 19 (radius: 15)
[17:54:38 -54624.659017] SLOW spr round 20 (radius: 5)
[17:57:21 -54624.658979] SLOW spr round 21 (radius: 10)
[17:59:55 -54624.658979] SLOW spr round 22 (radius: 15)
[18:03:50 -54624.658979] SLOW spr round 23 (radius: 20)
[18:10:19 -54624.552956] SLOW spr round 24 (radius: 5)
[18:13:07 -54622.514798] SLOW spr round 25 (radius: 5)
[18:15:33 -54622.514683] SLOW spr round 26 (radius: 10)
[18:15:34] [worker #1] ML tree search #18, logLikelihood: -54585.883066
[18:17:54 -54622.514682] SLOW spr round 27 (radius: 15)
[18:22:03 -54622.514682] SLOW spr round 28 (radius: 20)
[18:28:35 -54622.514682] SLOW spr round 29 (radius: 25)
[18:36:14 -54622.514682] Model parameter optimization (eps = 0.100000)

[18:36:30] [worker #0] ML tree search #15, logLikelihood: -54620.847880

[18:36:30 -126994.954619] Initial branch length optimization
[18:36:32 -111310.595635] Model parameter optimization (eps = 10.000000)
[18:36:58 -110565.782673] AUTODETECT spr round 1 (radius: 5)
[18:39:11 -96748.990171] AUTODETECT spr round 2 (radius: 10)
[18:41:47 -80489.118596] AUTODETECT spr round 3 (radius: 15)
[18:45:11 -66519.294596] AUTODETECT spr round 4 (radius: 20)
[18:49:25 -61908.614288] AUTODETECT spr round 5 (radius: 25)
[18:54:14 -61392.289147] SPR radius for FAST iterations: 25 (autodetect)
[18:54:14 -61392.289147] Model parameter optimization (eps = 3.000000)
[18:54:41 -61338.416753] FAST spr round 1 (radius: 25)
[18:58:37 -55168.892079] FAST spr round 2 (radius: 25)
[19:01:15 -54868.757728] FAST spr round 3 (radius: 25)
[19:03:34 -54814.480610] FAST spr round 4 (radius: 25)
[19:05:35 -54804.758828] FAST spr round 5 (radius: 25)
[19:07:27 -54804.718883] Model parameter optimization (eps = 1.000000)
[19:07:41 -54803.099300] SLOW spr round 1 (radius: 5)
[19:10:06 -54791.757062] SLOW spr round 2 (radius: 5)
[19:12:25 -54787.537034] SLOW spr round 3 (radius: 5)
[19:14:38 -54787.501699] SLOW spr round 4 (radius: 10)
[19:16:52 -54785.799523] SLOW spr round 5 (radius: 5)
[19:19:34 -54781.890581] SLOW spr round 6 (radius: 5)
[19:22:02 -54781.056648] SLOW spr round 7 (radius: 5)
[19:24:21 -54780.507300] SLOW spr round 8 (radius: 5)
[19:26:32 -54780.507145] SLOW spr round 9 (radius: 10)
[19:28:47 -54779.591700] SLOW spr round 10 (radius: 5)
[19:31:26 -54779.565340] SLOW spr round 11 (radius: 10)
[19:33:55 -54778.714073] SLOW spr round 12 (radius: 5)
[19:36:29 -54778.714039] SLOW spr round 13 (radius: 10)
[19:38:56 -54778.464531] SLOW spr round 14 (radius: 5)
[19:41:31 -54778.464516] SLOW spr round 15 (radius: 10)
[19:43:59 -54776.447321] SLOW spr round 16 (radius: 5)
[19:46:34 -54776.447312] SLOW spr round 17 (radius: 10)
[19:49:01 -54772.180307] SLOW spr round 18 (radius: 5)
[19:51:37 -54772.163480] SLOW spr round 19 (radius: 10)
[19:54:03 -54772.163437] SLOW spr round 20 (radius: 15)
[19:58:11 -54771.814970] SLOW spr round 21 (radius: 5)
[20:00:54 -54771.793136] SLOW spr round 22 (radius: 10)
[20:03:28 -54771.792630] SLOW spr round 23 (radius: 15)
[20:07:29 -54771.792427] SLOW spr round 24 (radius: 20)
[20:14:41 -54771.792337] SLOW spr round 25 (radius: 25)
[20:22:48 -54748.882944] SLOW spr round 26 (radius: 5)
[20:25:41 -54659.083201] SLOW spr round 27 (radius: 5)
[20:28:13 -54658.503749] SLOW spr round 28 (radius: 5)
[20:30:32 -54658.503485] SLOW spr round 29 (radius: 10)
[20:32:48 -54658.503417] SLOW spr round 30 (radius: 15)
[20:37:15 -54658.503372] SLOW spr round 31 (radius: 20)
[20:44:14 -54658.503342] SLOW spr round 32 (radius: 25)
[20:52:32 -54658.503321] Model parameter optimization (eps = 0.100000)

[20:52:44] [worker #0] ML tree search #17, logLikelihood: -54657.974162

[20:52:44 -127396.653813] Initial branch length optimization
[20:52:46 -111532.329715] Model parameter optimization (eps = 10.000000)
[20:53:14 -110706.583541] AUTODETECT spr round 1 (radius: 5)
[20:55:29 -97639.349623] AUTODETECT spr round 2 (radius: 10)
[20:58:06 -81319.950807] AUTODETECT spr round 3 (radius: 15)
[21:01:29 -69058.669096] AUTODETECT spr round 4 (radius: 20)
[21:05:31 -64862.716223] AUTODETECT spr round 5 (radius: 25)
[21:10:07 -62306.053920] SPR radius for FAST iterations: 25 (autodetect)
[21:10:07 -62306.053920] Model parameter optimization (eps = 3.000000)
[21:10:32 -62279.344032] FAST spr round 1 (radius: 25)
[21:14:33 -55091.933519] FAST spr round 2 (radius: 25)
[21:17:13 -54711.814750] FAST spr round 3 (radius: 25)
[21:19:27 -54659.249156] FAST spr round 4 (radius: 25)
[21:21:27 -54655.015493] FAST spr round 5 (radius: 25)
[21:23:20 -54651.213066] FAST spr round 6 (radius: 25)
[21:25:07 -54651.213057] Model parameter optimization (eps = 1.000000)
[21:25:13 -54650.610972] SLOW spr round 1 (radius: 5)
[21:27:34 -54639.140348] SLOW spr round 2 (radius: 5)
[21:29:51 -54638.067733] SLOW spr round 3 (radius: 5)
[21:32:00 -54637.906053] SLOW spr round 4 (radius: 5)
[21:34:09 -54637.905958] SLOW spr round 5 (radius: 10)
[21:34:53] [worker #1] ML tree search #20, logLikelihood: -54624.022283
[21:36:22 -54636.217582] SLOW spr round 6 (radius: 5)
[21:38:58 -54636.217491] SLOW spr round 7 (radius: 10)
[21:41:23 -54636.084251] SLOW spr round 8 (radius: 5)
[21:43:57 -54636.084204] SLOW spr round 9 (radius: 10)
[21:46:20 -54636.013678] SLOW spr round 10 (radius: 15)
[21:50:18 -54635.780930] SLOW spr round 11 (radius: 5)
[21:53:00 -54635.402229] SLOW spr round 12 (radius: 5)
[21:55:24 -54635.012897] SLOW spr round 13 (radius: 5)
[21:57:38 -54635.012868] SLOW spr round 14 (radius: 10)
[21:59:51 -54635.012866] SLOW spr round 15 (radius: 15)
[22:04:13 -54635.012865] SLOW spr round 16 (radius: 20)
[22:10:51 -54634.494456] SLOW spr round 17 (radius: 5)
[22:13:35 -54634.494103] SLOW spr round 18 (radius: 10)
[22:16:11 -54634.494088] SLOW spr round 19 (radius: 15)
[22:20:06 -54633.896863] SLOW spr round 20 (radius: 5)
[22:22:48 -54633.896844] SLOW spr round 21 (radius: 10)
[22:25:21 -54631.875288] SLOW spr round 22 (radius: 5)
[22:27:54 -54631.875237] SLOW spr round 23 (radius: 10)
[22:30:18 -54631.875236] SLOW spr round 24 (radius: 15)
[22:34:16 -54631.579269] SLOW spr round 25 (radius: 5)
[22:36:58 -54631.577475] SLOW spr round 26 (radius: 10)
[22:39:29 -54631.577419] SLOW spr round 27 (radius: 15)
[22:43:19 -54631.577397] SLOW spr round 28 (radius: 20)
[22:50:01 -54631.577380] SLOW spr round 29 (radius: 25)
[22:57:49 -54631.577366] Model parameter optimization (eps = 0.100000)

[22:57:55] [worker #0] ML tree search #19, logLikelihood: -54631.509156


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.249702,0.459716) (0.159442,0.905449) (0.444512,0.792500) (0.146343,2.655159) 
   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: -54585.883066

AIC score: 113181.766132 / AICc score: 8157241.766132 / BIC score: 118820.195765
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=123).
         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/P01767/3_mltree/P01767.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/3_mltree/P01767.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/3_mltree/P01767.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01767/3_mltree/P01767.raxml.log

Analysis started: 20-Jul-2021 16:06:26 / finished: 21-Jul-2021 15:04:21

Elapsed time: 82675.608 seconds