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 24-Jun-2021 13:10:11 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/2_msa/Q9Y493_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/2_msa/Q9Y493_trimmed_msa.fasta
[00:00:00] Loaded alignment with 818 taxa and 649 sites

WARNING: Sequences tr_A0A2I3HU07_A0A2I3HU07_NOMLE_61853 and tr_A0A2I3TJ68_A0A2I3TJ68_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HU07_A0A2I3HU07_NOMLE_61853 and tr_G3VN32_G3VN32_SARHA_9305 are exactly identical!
WARNING: Sequences tr_F6XZQ0_F6XZQ0_MACMU_9544 and tr_G7P4N0_G7P4N0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7HBZ7_F7HBZ7_MACMU_9544 and tr_G7P0F4_G7P0F4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7HBZ7_F7HBZ7_MACMU_9544 and tr_A0A2K6AYR5_A0A2K6AYR5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_W4XC54_W4XC54_STRPU_7668 and tr_W4XNG0_W4XNG0_STRPU_7668 are exactly identical!
WARNING: Sequences tr_W2PCU8_W2PCU8_PHYPN_761204 and tr_A0A0W8C0W0_A0A0W8C0W0_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2PCU8_W2PCU8_PHYPN_761204 and tr_W2LTR5_W2LTR5_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_V4SME1_V4SME1_9ROSI_85681 and tr_A0A2H5NK14_A0A2H5NK14_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A2I0LTC3_A0A2I0LTC3_COLLI_8932 and tr_A0A1V4KHN8_A0A1V4KHN8_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3R3K2_A0A1S3R3K2_SALSA_8030 and tr_A0A2I4ALN8_A0A2I4ALN8_9TELE_52670 are exactly identical!
WARNING: Sequences tr_A0A2D0PJG9_A0A2D0PJG9_ICTPU_7998 and tr_W5UBK8_W5UBK8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2G8JED3_A0A2G8JED3_STIJA_307972 and tr_A0A2G8KRB0_A0A2G8KRB0_STIJA_307972 are exactly identical!
WARNING: Sequences tr_A0A2K5NE31_A0A2K5NE31_CERAT_9531 and tr_A0A2K6AKM5_A0A2K6AKM5_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 14

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.reduced.phy

Alignment comprises 1 partitions and 649 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 649 / 649
Gaps: 43.68 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 4 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 818 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 163 / 13040
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -662500.344753] Initial branch length optimization
[00:00:05 -566747.077902] Model parameter optimization (eps = 10.000000)
[00:00:53 -565157.368364] AUTODETECT spr round 1 (radius: 5)
[00:02:56 -456196.783416] AUTODETECT spr round 2 (radius: 10)
[00:05:12 -368617.712970] AUTODETECT spr round 3 (radius: 15)
[00:07:59 -332598.502743] AUTODETECT spr round 4 (radius: 20)
[00:11:03 -321760.400324] AUTODETECT spr round 5 (radius: 25)
[00:15:10 -316782.716527] SPR radius for FAST iterations: 25 (autodetect)
[00:15:10 -316782.716527] Model parameter optimization (eps = 3.000000)
[00:15:46 -315979.665396] FAST spr round 1 (radius: 25)
[00:20:33 -295310.824349] FAST spr round 2 (radius: 25)
[00:23:43 -294307.663338] FAST spr round 3 (radius: 25)
[00:26:16 -294205.860879] FAST spr round 4 (radius: 25)
[00:28:23 -294197.462337] FAST spr round 5 (radius: 25)
[00:30:11 -294197.462290] Model parameter optimization (eps = 1.000000)
[00:30:33 -294171.528646] SLOW spr round 1 (radius: 5)
[00:32:53 -294107.423830] SLOW spr round 2 (radius: 5)
[00:35:14 -294084.619199] SLOW spr round 3 (radius: 5)
[00:37:32 -294076.998403] SLOW spr round 4 (radius: 5)
[00:39:44 -294074.075705] SLOW spr round 5 (radius: 5)
[00:41:53 -294073.906480] SLOW spr round 6 (radius: 5)
[00:44:02 -294073.904467] SLOW spr round 7 (radius: 10)
[00:46:34 -294070.093885] SLOW spr round 8 (radius: 5)
[00:49:13 -294069.570538] SLOW spr round 9 (radius: 5)
[00:51:32 -294069.568541] SLOW spr round 10 (radius: 10)
[00:54:13 -294069.568059] SLOW spr round 11 (radius: 15)
[00:59:48 -294068.347653] SLOW spr round 12 (radius: 5)
[01:02:25 -294068.347374] SLOW spr round 13 (radius: 10)
[01:05:34 -294068.347287] SLOW spr round 14 (radius: 15)
[01:10:59 -294068.347238] SLOW spr round 15 (radius: 20)
[01:19:48 -294067.189120] SLOW spr round 16 (radius: 5)
[01:22:36 -294067.165487] SLOW spr round 17 (radius: 10)
[01:26:01 -294067.163942] SLOW spr round 18 (radius: 15)
[01:31:30 -294067.162400] SLOW spr round 19 (radius: 20)
[01:40:23 -294064.662692] SLOW spr round 20 (radius: 5)
[01:43:09 -294064.642587] SLOW spr round 21 (radius: 10)
[01:46:32 -294064.331303] SLOW spr round 22 (radius: 5)
[01:49:01 -294064.056551] SLOW spr round 23 (radius: 5)
[01:51:16 -294064.056340] SLOW spr round 24 (radius: 10)
[01:53:56 -294064.056334] SLOW spr round 25 (radius: 15)
[01:54:53] [worker #1] ML tree search #2, logLikelihood: -294048.274207
[01:59:36 -294064.056334] SLOW spr round 26 (radius: 20)
[02:08:15 -294064.056334] SLOW spr round 27 (radius: 25)
[02:18:36 -294060.551154] SLOW spr round 28 (radius: 5)
[02:21:30 -294059.320033] SLOW spr round 29 (radius: 5)
[02:24:03 -294058.476770] SLOW spr round 30 (radius: 5)
[02:26:20 -294058.476525] SLOW spr round 31 (radius: 10)
[02:29:01 -294058.476511] SLOW spr round 32 (radius: 15)
[02:34:38 -294058.476508] SLOW spr round 33 (radius: 20)
[02:43:09 -294058.476507] SLOW spr round 34 (radius: 25)
[02:53:22 -294058.476506] Model parameter optimization (eps = 0.100000)

[02:53:30] [worker #0] ML tree search #1, logLikelihood: -294058.259169

[02:53:30 -666207.178712] Initial branch length optimization
[02:53:36 -572591.142683] Model parameter optimization (eps = 10.000000)
[02:54:27 -570823.523689] AUTODETECT spr round 1 (radius: 5)
[02:56:21 -456001.984436] AUTODETECT spr round 2 (radius: 10)
[02:58:36 -359878.002027] AUTODETECT spr round 3 (radius: 15)
[03:01:08 -331065.090814] AUTODETECT spr round 4 (radius: 20)
[03:03:52 -322504.118220] AUTODETECT spr round 5 (radius: 25)
[03:07:14 -318240.149973] SPR radius for FAST iterations: 25 (autodetect)
[03:07:14 -318240.149973] Model parameter optimization (eps = 3.000000)
[03:07:45 -317682.122202] FAST spr round 1 (radius: 25)
[03:12:02 -295993.209074] FAST spr round 2 (radius: 25)
[03:15:22 -294310.671899] FAST spr round 3 (radius: 25)
[03:17:54 -294160.857153] FAST spr round 4 (radius: 25)
[03:20:02 -294142.866775] FAST spr round 5 (radius: 25)
[03:21:51 -294139.051717] FAST spr round 6 (radius: 25)
[03:23:32 -294135.583957] FAST spr round 7 (radius: 25)
[03:25:08 -294135.581521] Model parameter optimization (eps = 1.000000)
[03:25:26 -294113.030803] SLOW spr round 1 (radius: 5)
[03:27:41 -294043.690992] SLOW spr round 2 (radius: 5)
[03:29:55 -294030.503159] SLOW spr round 3 (radius: 5)
[03:32:04 -294027.837703] SLOW spr round 4 (radius: 5)
[03:34:12 -294027.140374] SLOW spr round 5 (radius: 5)
[03:35:53] [worker #1] ML tree search #4, logLikelihood: -294069.088098
[03:36:19 -294027.140151] SLOW spr round 6 (radius: 10)
[03:38:59 -294025.565320] SLOW spr round 7 (radius: 5)
[03:41:39 -294024.016140] SLOW spr round 8 (radius: 5)
[03:44:01 -294023.064928] SLOW spr round 9 (radius: 5)
[03:46:16 -294023.064157] SLOW spr round 10 (radius: 10)
[03:48:58 -294021.883558] SLOW spr round 11 (radius: 5)
[03:51:39 -294018.574714] SLOW spr round 12 (radius: 5)
[03:54:03 -294018.561594] SLOW spr round 13 (radius: 10)
[03:56:49 -294014.886675] SLOW spr round 14 (radius: 5)
[03:59:26 -294014.886034] SLOW spr round 15 (radius: 10)
[04:02:29 -294014.759946] SLOW spr round 16 (radius: 5)
[04:05:11 -294008.603454] SLOW spr round 17 (radius: 5)
[04:07:32 -294008.454688] SLOW spr round 18 (radius: 5)
[04:09:48 -294008.453992] SLOW spr round 19 (radius: 10)
[04:12:25 -294008.453862] SLOW spr round 20 (radius: 15)
[04:17:56 -294008.453823] SLOW spr round 21 (radius: 20)
[04:26:44 -294008.164091] SLOW spr round 22 (radius: 5)
[04:29:29 -294007.676615] SLOW spr round 23 (radius: 5)
[04:31:52 -294007.674381] SLOW spr round 24 (radius: 10)
[04:34:39 -294007.673680] SLOW spr round 25 (radius: 15)
[04:40:02 -294007.673436] SLOW spr round 26 (radius: 20)
[04:48:55 -294007.673343] SLOW spr round 27 (radius: 25)
[04:59:36 -294007.673303] Model parameter optimization (eps = 0.100000)

[04:59:50] [worker #0] ML tree search #3, logLikelihood: -294006.894818

[04:59:51 -660079.145986] Initial branch length optimization
[04:59:56 -563792.292285] Model parameter optimization (eps = 10.000000)
[05:00:51 -562388.757086] AUTODETECT spr round 1 (radius: 5)
[05:02:48 -455464.935832] AUTODETECT spr round 2 (radius: 10)
[05:05:07 -368098.299879] AUTODETECT spr round 3 (radius: 15)
[05:07:48 -335635.024111] AUTODETECT spr round 4 (radius: 20)
[05:11:14 -323428.791343] AUTODETECT spr round 5 (radius: 25)
[05:15:09 -319577.074808] SPR radius for FAST iterations: 25 (autodetect)
[05:15:09 -319577.074808] Model parameter optimization (eps = 3.000000)
[05:15:34 -318839.454462] FAST spr round 1 (radius: 25)
[05:19:45 -295759.702956] FAST spr round 2 (radius: 25)
[05:22:50 -294507.888761] FAST spr round 3 (radius: 25)
[05:25:17 -294314.697711] FAST spr round 4 (radius: 25)
[05:27:22 -294275.714988] FAST spr round 5 (radius: 25)
[05:29:08 -294271.706823] FAST spr round 6 (radius: 25)
[05:30:48 -294271.704738] Model parameter optimization (eps = 1.000000)
[05:31:08 -294236.397561] SLOW spr round 1 (radius: 5)
[05:33:19 -294188.821915] SLOW spr round 2 (radius: 5)
[05:35:30 -294178.333539] SLOW spr round 3 (radius: 5)
[05:37:36 -294176.586109] SLOW spr round 4 (radius: 5)
[05:39:41 -294176.585356] SLOW spr round 5 (radius: 10)
[05:42:12 -294174.256600] SLOW spr round 6 (radius: 5)
[05:44:45 -294174.150724] SLOW spr round 7 (radius: 5)
[05:47:02 -294174.121992] SLOW spr round 8 (radius: 10)
[05:49:41 -294173.896939] SLOW spr round 9 (radius: 5)
[05:52:13 -294173.840377] SLOW spr round 10 (radius: 10)
[05:55:11 -294173.838501] SLOW spr round 11 (radius: 15)
[05:59:19] [worker #1] ML tree search #6, logLikelihood: -294075.575721
[06:00:35 -294173.838007] SLOW spr round 12 (radius: 20)
[06:09:39 -294159.969812] SLOW spr round 13 (radius: 5)
[06:12:42 -294084.216920] SLOW spr round 14 (radius: 5)
[06:15:20 -294072.742266] SLOW spr round 15 (radius: 5)
[06:17:39 -294071.697275] SLOW spr round 16 (radius: 5)
[06:19:54 -294071.697037] SLOW spr round 17 (radius: 10)
[06:22:34 -294063.822275] SLOW spr round 18 (radius: 5)
[06:25:16 -294063.151525] SLOW spr round 19 (radius: 5)
[06:27:39 -294062.886904] SLOW spr round 20 (radius: 5)
[06:29:57 -294062.539713] SLOW spr round 21 (radius: 5)
[06:32:11 -294062.539494] SLOW spr round 22 (radius: 10)
[06:34:48 -294062.539440] SLOW spr round 23 (radius: 15)
[06:40:15 -294061.899373] SLOW spr round 24 (radius: 5)
[06:43:00 -294061.449477] SLOW spr round 25 (radius: 5)
[06:45:25 -294061.446929] SLOW spr round 26 (radius: 10)
[06:48:09 -294061.160832] SLOW spr round 27 (radius: 5)
[06:50:42 -294061.157185] SLOW spr round 28 (radius: 10)
[06:53:36 -294061.156801] SLOW spr round 29 (radius: 15)
[06:58:40 -294061.156719] SLOW spr round 30 (radius: 20)
[07:07:25 -294061.156698] SLOW spr round 31 (radius: 25)
[07:17:50 -294060.310983] SLOW spr round 32 (radius: 5)
[07:20:39 -294060.305993] SLOW spr round 33 (radius: 10)
[07:24:04 -294060.305433] SLOW spr round 34 (radius: 15)
[07:29:09 -294060.305365] SLOW spr round 35 (radius: 20)
[07:38:04 -294060.305357] SLOW spr round 36 (radius: 25)
[07:48:35 -294060.305356] Model parameter optimization (eps = 0.100000)

[07:48:46] [worker #0] ML tree search #5, logLikelihood: -294059.319056

[07:48:46 -667723.333515] Initial branch length optimization
[07:48:52 -571295.848306] Model parameter optimization (eps = 10.000000)
[07:49:49 -569506.336281] AUTODETECT spr round 1 (radius: 5)
[07:51:45 -452972.465739] AUTODETECT spr round 2 (radius: 10)
[07:54:04 -356922.455318] AUTODETECT spr round 3 (radius: 15)
[07:56:33 -328378.186046] AUTODETECT spr round 4 (radius: 20)
[07:59:27 -316373.766153] AUTODETECT spr round 5 (radius: 25)
[08:02:43 -315042.726642] SPR radius for FAST iterations: 25 (autodetect)
[08:02:43 -315042.726642] Model parameter optimization (eps = 3.000000)
[08:03:17 -314313.730543] FAST spr round 1 (radius: 25)
[08:07:26 -295710.299232] FAST spr round 2 (radius: 25)
[08:10:38 -294577.586021] FAST spr round 3 (radius: 25)
[08:13:05 -294278.640230] FAST spr round 4 (radius: 25)
[08:15:03 -294264.129816] FAST spr round 5 (radius: 25)
[08:16:45 -294262.840558] FAST spr round 6 (radius: 25)
[08:18:21 -294262.840194] Model parameter optimization (eps = 1.000000)
[08:18:38 -294245.384493] SLOW spr round 1 (radius: 5)
[08:20:48 -294187.057163] SLOW spr round 2 (radius: 5)
[08:23:02 -294170.707489] SLOW spr round 3 (radius: 5)
[08:25:18 -294160.416953] SLOW spr round 4 (radius: 5)
[08:27:29 -294157.764994] SLOW spr round 5 (radius: 5)
[08:29:39 -294155.837482] SLOW spr round 6 (radius: 5)
[08:31:54 -294149.795295] SLOW spr round 7 (radius: 5)
[08:34:06 -294148.778394] SLOW spr round 8 (radius: 5)
[08:36:09] [worker #1] ML tree search #8, logLikelihood: -294036.844307
[08:36:14 -294148.776489] SLOW spr round 9 (radius: 10)
[08:38:45 -294140.406154] SLOW spr round 10 (radius: 5)
[08:41:32 -294135.947833] SLOW spr round 11 (radius: 5)
[08:44:00 -294135.943219] SLOW spr round 12 (radius: 10)
[08:46:43 -294135.942893] SLOW spr round 13 (radius: 15)
[08:52:06 -294132.875427] SLOW spr round 14 (radius: 5)
[08:54:51 -294132.782858] SLOW spr round 15 (radius: 10)
[08:58:00 -294132.780866] SLOW spr round 16 (radius: 15)
[09:03:08 -294132.780775] SLOW spr round 17 (radius: 20)
[09:11:08 -294122.186353] SLOW spr round 18 (radius: 5)
[09:14:00 -294114.260072] SLOW spr round 19 (radius: 5)
[09:16:28 -294114.257397] SLOW spr round 20 (radius: 10)
[09:19:13 -294111.392258] SLOW spr round 21 (radius: 5)
[09:21:47 -294109.268604] SLOW spr round 22 (radius: 5)
[09:24:05 -294109.268271] SLOW spr round 23 (radius: 10)
[09:26:39 -294108.887729] SLOW spr round 24 (radius: 5)
[09:29:13 -294106.908660] SLOW spr round 25 (radius: 5)
[09:31:31 -294106.907691] SLOW spr round 26 (radius: 10)
[09:34:08 -294106.907617] SLOW spr round 27 (radius: 15)
[09:39:07 -294106.907603] SLOW spr round 28 (radius: 20)
[09:46:58 -294106.907599] SLOW spr round 29 (radius: 25)
[09:56:51 -294106.907598] Model parameter optimization (eps = 0.100000)

[09:57:00] [worker #0] ML tree search #7, logLikelihood: -294106.709777

[09:57:00 -666676.568958] Initial branch length optimization
[09:57:07 -570705.215881] Model parameter optimization (eps = 10.000000)
[09:58:24 -569147.343163] AUTODETECT spr round 1 (radius: 5)
[10:00:25 -458053.003751] AUTODETECT spr round 2 (radius: 10)
[10:02:41 -370359.575591] AUTODETECT spr round 3 (radius: 15)
[10:05:26 -333405.099999] AUTODETECT spr round 4 (radius: 20)
[10:08:20 -321820.696140] AUTODETECT spr round 5 (radius: 25)
[10:11:40 -318097.731708] SPR radius for FAST iterations: 25 (autodetect)
[10:11:40 -318097.731708] Model parameter optimization (eps = 3.000000)
[10:12:19 -317427.444130] FAST spr round 1 (radius: 25)
[10:16:27 -295823.211409] FAST spr round 2 (radius: 25)
[10:19:38 -294291.125377] FAST spr round 3 (radius: 25)
[10:22:14 -294214.348509] FAST spr round 4 (radius: 25)
[10:24:22 -294195.601480] FAST spr round 5 (radius: 25)
[10:25:17] [worker #1] ML tree search #10, logLikelihood: -294064.131410
[10:26:11 -294195.598558] Model parameter optimization (eps = 1.000000)
[10:26:32 -294161.918790] SLOW spr round 1 (radius: 5)
[10:28:53 -294081.560569] SLOW spr round 2 (radius: 5)
[10:31:10 -294076.277136] SLOW spr round 3 (radius: 5)
[10:33:21 -294075.896183] SLOW spr round 4 (radius: 5)
[10:35:30 -294075.895426] SLOW spr round 5 (radius: 10)
[10:38:05 -294071.204249] SLOW spr round 6 (radius: 5)
[10:40:48 -294069.041656] SLOW spr round 7 (radius: 5)
[10:43:13 -294068.370043] SLOW spr round 8 (radius: 5)
[10:45:29 -294067.172781] SLOW spr round 9 (radius: 5)
[10:47:39 -294067.171639] SLOW spr round 10 (radius: 10)
[10:50:15 -294066.283364] SLOW spr round 11 (radius: 5)
[10:52:54 -294066.224664] SLOW spr round 12 (radius: 10)
[10:55:58 -294066.223566] SLOW spr round 13 (radius: 15)
[11:01:19 -294062.016827] SLOW spr round 14 (radius: 5)
[11:04:07 -294061.524974] SLOW spr round 15 (radius: 5)
[11:06:35 -294061.041900] SLOW spr round 16 (radius: 5)
[11:08:54 -294060.581482] SLOW spr round 17 (radius: 5)
[11:11:07 -294060.579474] SLOW spr round 18 (radius: 10)
[11:13:47 -294058.656809] SLOW spr round 19 (radius: 5)
[11:16:27 -294055.715073] SLOW spr round 20 (radius: 5)
[11:18:50 -294055.712916] SLOW spr round 21 (radius: 10)
[11:21:36 -294055.712433] SLOW spr round 22 (radius: 15)
[11:27:06 -294054.829525] SLOW spr round 23 (radius: 5)
[11:29:49 -294054.823664] SLOW spr round 24 (radius: 10)
[11:33:01 -294054.821843] SLOW spr round 25 (radius: 15)
[11:38:13 -294054.821186] SLOW spr round 26 (radius: 20)
[11:46:57 -294054.484389] SLOW spr round 27 (radius: 5)
[11:49:45 -294054.481676] SLOW spr round 28 (radius: 10)
[11:53:05 -294054.096669] SLOW spr round 29 (radius: 5)
[11:55:34 -294054.095497] SLOW spr round 30 (radius: 10)
[11:58:28 -294054.095406] SLOW spr round 31 (radius: 15)
[12:03:42 -294054.095382] SLOW spr round 32 (radius: 20)
[12:11:39] [worker #1] ML tree search #12, logLikelihood: -294062.210531
[12:12:15 -294054.095373] SLOW spr round 33 (radius: 25)
[12:22:27 -294051.501067] SLOW spr round 34 (radius: 5)
[12:25:25 -294051.501066] SLOW spr round 35 (radius: 10)
[12:28:57 -294051.501065] SLOW spr round 36 (radius: 15)
[12:34:16 -294051.501065] SLOW spr round 37 (radius: 20)
[12:43:09 -294051.501065] SLOW spr round 38 (radius: 25)
[12:53:31 -294051.501065] Model parameter optimization (eps = 0.100000)

[12:53:44] [worker #0] ML tree search #9, logLikelihood: -294051.306552

[12:53:44 -664443.969988] Initial branch length optimization
[12:53:53 -568442.575728] Model parameter optimization (eps = 10.000000)
[12:55:29 -567433.953268] AUTODETECT spr round 1 (radius: 5)
[12:57:26 -444182.330153] AUTODETECT spr round 2 (radius: 10)
[12:59:45 -361036.152362] AUTODETECT spr round 3 (radius: 15)
[13:02:21 -335967.575178] AUTODETECT spr round 4 (radius: 20)
[13:05:21 -324664.019425] AUTODETECT spr round 5 (radius: 25)
[13:09:16 -319362.542499] SPR radius for FAST iterations: 25 (autodetect)
[13:09:16 -319362.542499] Model parameter optimization (eps = 3.000000)
[13:09:50 -318398.660453] FAST spr round 1 (radius: 25)
[13:14:38 -295579.533908] FAST spr round 2 (radius: 25)
[13:17:56 -294360.413857] FAST spr round 3 (radius: 25)
[13:20:25 -294257.467478] FAST spr round 4 (radius: 25)
[13:22:22 -294241.434944] FAST spr round 5 (radius: 25)
[13:24:04 -294241.432429] Model parameter optimization (eps = 1.000000)
[13:24:23 -294228.079444] SLOW spr round 1 (radius: 5)
[13:26:40 -294134.041266] SLOW spr round 2 (radius: 5)
[13:28:56 -294122.624864] SLOW spr round 3 (radius: 5)
[13:31:11 -294121.235982] SLOW spr round 4 (radius: 5)
[13:33:24 -294121.208979] SLOW spr round 5 (radius: 10)
[13:35:55 -294118.043837] SLOW spr round 6 (radius: 5)
[13:38:33 -294117.971523] SLOW spr round 7 (radius: 10)
[13:41:33 -294116.713413] SLOW spr round 8 (radius: 5)
[13:44:05 -294116.709242] SLOW spr round 9 (radius: 10)
[13:46:58 -294116.708008] SLOW spr round 10 (radius: 15)
[13:52:08 -294116.707489] SLOW spr round 11 (radius: 20)
[14:00:59 -294093.751745] SLOW spr round 12 (radius: 5)
[14:03:56 -294088.929183] SLOW spr round 13 (radius: 5)
[14:06:25 -294088.928868] SLOW spr round 14 (radius: 10)
[14:09:11 -294088.928828] SLOW spr round 15 (radius: 15)
[14:14:31 -294088.928646] SLOW spr round 16 (radius: 20)
[14:23:17 -294088.928641] SLOW spr round 17 (radius: 25)
[14:33:36 -294088.276342] SLOW spr round 18 (radius: 5)
[14:34:03] [worker #1] ML tree search #14, logLikelihood: -294060.654381
[14:36:24 -294088.275930] SLOW spr round 19 (radius: 10)
[14:39:40 -294088.075232] SLOW spr round 20 (radius: 5)
[14:42:13 -294087.845693] SLOW spr round 21 (radius: 5)
[14:44:39 -294087.844071] SLOW spr round 22 (radius: 10)
[14:47:21 -294086.382407] SLOW spr round 23 (radius: 5)
[14:50:03 -294083.384106] SLOW spr round 24 (radius: 5)
[14:52:27 -294082.295183] SLOW spr round 25 (radius: 5)
[14:54:42 -294082.294046] SLOW spr round 26 (radius: 10)
[14:57:16 -294082.293933] SLOW spr round 27 (radius: 15)
[15:02:46 -294082.293917] SLOW spr round 28 (radius: 20)
[15:11:23 -294082.293914] SLOW spr round 29 (radius: 25)
[15:21:34 -294082.293910] Model parameter optimization (eps = 0.100000)

[15:21:50] [worker #0] ML tree search #11, logLikelihood: -294080.738588

[15:21:51 -670311.817817] Initial branch length optimization
[15:21:56 -571915.629024] Model parameter optimization (eps = 10.000000)
[15:23:09 -570570.170770] AUTODETECT spr round 1 (radius: 5)
[15:25:08 -450934.311214] AUTODETECT spr round 2 (radius: 10)
[15:27:25 -362836.885376] AUTODETECT spr round 3 (radius: 15)
[15:30:02 -332565.316048] AUTODETECT spr round 4 (radius: 20)
[15:33:01 -323041.493129] AUTODETECT spr round 5 (radius: 25)
[15:36:14 -319590.198337] SPR radius for FAST iterations: 25 (autodetect)
[15:36:14 -319590.198337] Model parameter optimization (eps = 3.000000)
[15:36:43 -318782.864621] FAST spr round 1 (radius: 25)
[15:41:07 -296211.305326] FAST spr round 2 (radius: 25)
[15:44:18 -294980.210163] FAST spr round 3 (radius: 25)
[15:46:49 -294405.512971] FAST spr round 4 (radius: 25)
[15:49:08 -294203.331516] FAST spr round 5 (radius: 25)
[15:51:02 -294188.870405] FAST spr round 6 (radius: 25)
[15:52:51 -294182.233286] FAST spr round 7 (radius: 25)
[15:54:32 -294182.233108] Model parameter optimization (eps = 1.000000)
[15:54:53 -294155.635054] SLOW spr round 1 (radius: 5)
[15:57:08 -294106.924733] SLOW spr round 2 (radius: 5)
[15:59:24 -294102.591630] SLOW spr round 3 (radius: 5)
[16:01:36 -294100.053516] SLOW spr round 4 (radius: 5)
[16:03:47 -294100.051911] SLOW spr round 5 (radius: 10)
[16:06:20 -294099.524965] SLOW spr round 6 (radius: 5)
[16:09:00 -294099.522636] SLOW spr round 7 (radius: 10)
[16:12:02 -294099.083162] SLOW spr round 8 (radius: 5)
[16:14:44 -294097.402123] SLOW spr round 9 (radius: 5)
[16:17:09 -294097.400306] SLOW spr round 10 (radius: 10)
[16:19:52 -294097.399481] SLOW spr round 11 (radius: 15)
[16:25:04 -294097.399088] SLOW spr round 12 (radius: 20)
[16:33:18 -294097.398893] SLOW spr round 13 (radius: 25)
[16:43:12 -294075.627120] SLOW spr round 14 (radius: 5)
[16:46:00 -294075.354852] SLOW spr round 15 (radius: 5)
[16:48:26 -294074.901712] SLOW spr round 16 (radius: 5)
[16:50:40 -294074.900054] SLOW spr round 17 (radius: 10)
[16:53:17 -294074.899085] SLOW spr round 18 (radius: 15)
[16:58:36 -294074.898409] SLOW spr round 19 (radius: 20)
[17:06:55 -294074.897924] SLOW spr round 20 (radius: 25)
[17:16:51 -294074.349729] SLOW spr round 21 (radius: 5)
[17:19:42 -294074.328645] SLOW spr round 22 (radius: 10)
[17:23:05 -294073.913474] SLOW spr round 23 (radius: 5)
[17:25:40 -294073.647805] SLOW spr round 24 (radius: 5)
[17:27:59 -294073.647725] SLOW spr round 25 (radius: 10)
[17:30:37 -294073.647721] SLOW spr round 26 (radius: 15)
[17:33:41] [worker #1] ML tree search #16, logLikelihood: -294033.362669
[17:35:49 -294073.647718] SLOW spr round 27 (radius: 20)
[17:43:58 -294073.647717] SLOW spr round 28 (radius: 25)
[17:53:44 -294073.647716] Model parameter optimization (eps = 0.100000)

[17:53:50] [worker #0] ML tree search #13, logLikelihood: -294073.560114

[17:53:50 -666366.672196] Initial branch length optimization
[17:53:56 -568671.945021] Model parameter optimization (eps = 10.000000)
[17:55:06 -567459.803074] AUTODETECT spr round 1 (radius: 5)
[17:57:02 -451103.840842] AUTODETECT spr round 2 (radius: 10)
[17:59:26 -359821.860532] AUTODETECT spr round 3 (radius: 15)
[18:02:23 -325176.433274] AUTODETECT spr round 4 (radius: 20)
[18:05:36 -314805.611548] AUTODETECT spr round 5 (radius: 25)
[18:09:41 -313323.130035] SPR radius for FAST iterations: 25 (autodetect)
[18:09:41 -313323.130035] Model parameter optimization (eps = 3.000000)
[18:10:08 -312442.115245] FAST spr round 1 (radius: 25)
[18:15:09 -294999.207079] FAST spr round 2 (radius: 25)
[18:18:37 -294298.869826] FAST spr round 3 (radius: 25)
[18:21:14 -294181.775211] FAST spr round 4 (radius: 25)
[18:23:22 -294169.471655] FAST spr round 5 (radius: 25)
[18:25:13 -294169.470428] Model parameter optimization (eps = 1.000000)
[18:25:36 -294149.394244] SLOW spr round 1 (radius: 5)
[18:27:56 -294076.114815] SLOW spr round 2 (radius: 5)
[18:30:15 -294071.096961] SLOW spr round 3 (radius: 5)
[18:32:26 -294069.480718] SLOW spr round 4 (radius: 5)
[18:34:35 -294069.480360] SLOW spr round 5 (radius: 10)
[18:37:11 -294069.018654] SLOW spr round 6 (radius: 5)
[18:39:49 -294069.017148] SLOW spr round 7 (radius: 10)
[18:42:54 -294069.016771] SLOW spr round 8 (radius: 15)
[18:48:06 -294068.970079] SLOW spr round 9 (radius: 20)
[18:56:26 -294068.969300] SLOW spr round 10 (radius: 25)
[19:06:15 -294068.969233] Model parameter optimization (eps = 0.100000)

[19:06:30] [worker #0] ML tree search #15, logLikelihood: -294068.162453

[19:06:30 -666743.297592] Initial branch length optimization
[19:06:38 -572100.635734] Model parameter optimization (eps = 10.000000)
[19:07:34 -570509.971965] AUTODETECT spr round 1 (radius: 5)
[19:09:32 -453874.582274] AUTODETECT spr round 2 (radius: 10)
[19:11:49 -365107.473338] AUTODETECT spr round 3 (radius: 15)
[19:14:26 -330110.957221] AUTODETECT spr round 4 (radius: 20)
[19:17:38 -318454.241631] AUTODETECT spr round 5 (radius: 25)
[19:21:30 -316496.742592] SPR radius for FAST iterations: 25 (autodetect)
[19:21:30 -316496.742592] Model parameter optimization (eps = 3.000000)
[19:21:59 -315798.645992] FAST spr round 1 (radius: 25)
[19:26:48 -295882.197295] FAST spr round 2 (radius: 25)
[19:30:08 -294891.038637] FAST spr round 3 (radius: 25)
[19:32:41 -294422.026141] FAST spr round 4 (radius: 25)
[19:34:49 -294333.060923] FAST spr round 5 (radius: 25)
[19:36:40 -294323.244713] FAST spr round 6 (radius: 25)
[19:38:21 -294322.204062] FAST spr round 7 (radius: 25)
[19:40:00 -294322.168153] Model parameter optimization (eps = 1.000000)
[19:40:20 -294290.351694] SLOW spr round 1 (radius: 5)
[19:42:33 -294215.903703] SLOW spr round 2 (radius: 5)
[19:44:46 -294200.583324] SLOW spr round 3 (radius: 5)
[19:46:58 -294198.389602] SLOW spr round 4 (radius: 5)
[19:49:04 -294198.388587] SLOW spr round 5 (radius: 10)
[19:51:05] [worker #1] ML tree search #18, logLikelihood: -294039.857475
[19:51:32 -294196.823720] SLOW spr round 6 (radius: 5)
[19:54:12 -294196.785379] SLOW spr round 7 (radius: 10)
[19:57:07 -294196.784959] SLOW spr round 8 (radius: 15)
[20:02:15 -294196.262674] SLOW spr round 9 (radius: 5)
[20:04:57 -294196.147357] SLOW spr round 10 (radius: 5)
[20:07:21 -294196.146016] SLOW spr round 11 (radius: 10)
[20:10:04 -294196.145081] SLOW spr round 12 (radius: 15)
[20:15:30 -294196.144427] SLOW spr round 13 (radius: 20)
[20:23:57 -294135.193668] SLOW spr round 14 (radius: 5)
[20:26:49 -294135.193045] SLOW spr round 15 (radius: 10)
[20:30:04 -294135.192983] SLOW spr round 16 (radius: 15)
[20:35:16 -294135.192961] SLOW spr round 17 (radius: 20)
[20:43:38 -294135.192950] SLOW spr round 18 (radius: 25)
[20:53:41 -294127.080547] SLOW spr round 19 (radius: 5)
[20:56:30 -294120.987803] SLOW spr round 20 (radius: 5)
[20:58:56 -294120.779712] SLOW spr round 21 (radius: 5)
[21:01:09 -294120.778928] SLOW spr round 22 (radius: 10)
[21:03:38 -294120.778882] SLOW spr round 23 (radius: 15)
[21:09:02 -294120.778877] SLOW spr round 24 (radius: 20)
[21:16:30] [worker #1] ML tree search #20, logLikelihood: -294028.629647
[21:17:16 -294120.778876] SLOW spr round 25 (radius: 25)
[21:27:16 -294115.231727] SLOW spr round 26 (radius: 5)
[21:30:09 -294086.955578] SLOW spr round 27 (radius: 5)
[21:32:38 -294075.764257] SLOW spr round 28 (radius: 5)
[21:34:53 -294075.415690] SLOW spr round 29 (radius: 5)
[21:37:02 -294075.415391] SLOW spr round 30 (radius: 10)
[21:39:30 -294075.415373] SLOW spr round 31 (radius: 15)
[21:44:56 -294075.415372] SLOW spr round 32 (radius: 20)
[21:53:05 -294075.415371] SLOW spr round 33 (radius: 25)
[22:03:02 -294075.415371] Model parameter optimization (eps = 0.100000)

[22:03:10] [worker #0] ML tree search #17, logLikelihood: -294075.274193

[22:03:10 -670164.820356] Initial branch length optimization
[22:03:17 -573529.974496] Model parameter optimization (eps = 10.000000)
[22:04:20 -571801.059356] AUTODETECT spr round 1 (radius: 5)
[22:06:13 -448773.223706] AUTODETECT spr round 2 (radius: 10)
[22:08:27 -362587.104549] AUTODETECT spr round 3 (radius: 15)
[22:10:53 -331458.400083] AUTODETECT spr round 4 (radius: 20)
[22:13:58 -322239.169667] AUTODETECT spr round 5 (radius: 25)
[22:16:59 -316886.235761] SPR radius for FAST iterations: 25 (autodetect)
[22:16:59 -316886.235761] Model parameter optimization (eps = 3.000000)
[22:17:24 -316240.721505] FAST spr round 1 (radius: 25)
[22:21:36 -296304.802545] FAST spr round 2 (radius: 25)
[22:24:44 -294670.329076] FAST spr round 3 (radius: 25)
[22:27:17 -294397.193355] FAST spr round 4 (radius: 25)
[22:29:24 -294364.000741] FAST spr round 5 (radius: 25)
[22:31:18 -294346.892825] FAST spr round 6 (radius: 25)
[22:33:02 -294340.027966] FAST spr round 7 (radius: 25)
[22:34:39 -294339.747818] FAST spr round 8 (radius: 25)
[22:36:15 -294339.746862] Model parameter optimization (eps = 1.000000)
[22:36:33 -294320.638014] SLOW spr round 1 (radius: 5)
[22:38:41 -294267.358025] SLOW spr round 2 (radius: 5)
[22:40:52 -294264.171707] SLOW spr round 3 (radius: 5)
[22:42:59 -294264.159804] SLOW spr round 4 (radius: 10)
[22:45:29 -294263.437374] SLOW spr round 5 (radius: 5)
[22:48:05 -294263.185355] SLOW spr round 6 (radius: 5)
[22:50:26 -294263.185302] SLOW spr round 7 (radius: 10)
[22:53:06 -294262.973714] SLOW spr round 8 (radius: 5)
[22:55:42 -294258.565289] SLOW spr round 9 (radius: 5)
[22:58:01 -294258.552928] SLOW spr round 10 (radius: 10)
[23:00:38 -294258.552475] SLOW spr round 11 (radius: 15)
[23:05:55 -294244.354838] SLOW spr round 12 (radius: 5)
[23:08:41 -294226.511661] SLOW spr round 13 (radius: 5)
[23:11:05 -294225.821486] SLOW spr round 14 (radius: 5)
[23:13:24 -294220.781418] SLOW spr round 15 (radius: 5)
[23:15:37 -294214.104772] SLOW spr round 16 (radius: 5)
[23:17:43 -294213.645444] SLOW spr round 17 (radius: 5)
[23:19:49 -294213.349370] SLOW spr round 18 (radius: 5)
[23:21:52 -294213.349210] SLOW spr round 19 (radius: 10)
[23:24:19 -294211.872860] SLOW spr round 20 (radius: 5)
[23:26:52 -294211.744088] SLOW spr round 21 (radius: 5)
[23:29:10 -294211.741342] SLOW spr round 22 (radius: 10)
[23:31:50 -294211.740117] SLOW spr round 23 (radius: 15)
[23:37:23 -294211.739562] SLOW spr round 24 (radius: 20)
[23:46:48 -294211.739316] SLOW spr round 25 (radius: 25)
[23:57:38 -294193.229521] SLOW spr round 26 (radius: 5)
[24:00:32 -294127.877397] SLOW spr round 27 (radius: 5)
[24:03:08 -294047.819164] SLOW spr round 28 (radius: 5)
[24:05:25 -294046.499228] SLOW spr round 29 (radius: 5)
[24:07:34 -294046.497909] SLOW spr round 30 (radius: 10)
[24:10:03 -294046.497832] SLOW spr round 31 (radius: 15)
[24:15:44 -294046.497606] SLOW spr round 32 (radius: 20)
[24:24:59 -294046.497602] SLOW spr round 33 (radius: 25)
[24:35:42 -294046.497600] Model parameter optimization (eps = 0.100000)

[24:35:56] [worker #0] ML tree search #19, logLikelihood: -294044.816868


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.157902,0.512422) (0.058896,0.678521) (0.403310,0.871722) (0.379891,1.388688) 
   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: -294006.894818

AIC score: 591291.789636 / AICc score: 5967211.789636 / BIC score: 598627.023859
Free parameters (model + branch lengths): 1639

WARNING: Number of free parameters (K=1639) is larger than alignment size (n=649).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q9Y493/3_mltree/Q9Y493.raxml.log

Analysis started: 24-Jun-2021 13:10:11 / finished: 25-Jun-2021 13:46:08

Elapsed time: 88556.788 seconds