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 09-Jul-2021 03:21:37 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/2_msa/Q8WUQ7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7 --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/Q8WUQ7/2_msa/Q8WUQ7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 924 taxa and 439 sites

WARNING: Sequences tr_J3KDS6_J3KDS6_COCIM_246410 and tr_A0A0J6YCV5_A0A0J6YCV5_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B2WL05_B2WL05_PYRTR_426418 and tr_A0A2W1F718_A0A2W1F718_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_G3R9X4_G3R9X4_GORGO_9595 and tr_K7D0W8_K7D0W8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R9X4_G3R9X4_GORGO_9595 and sp_Q8WUQ7_CATIN_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F9FGX4_F9FGX4_FUSOF_660025 and tr_A0A2H3SRA6_A0A2H3SRA6_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_C6H9T7_C6H9T7_AJECH_544712 and tr_F0UKP9_F0UKP9_AJEC8_544711 are exactly identical!
WARNING: Sequences tr_A2XMZ6_A2XMZ6_ORYSI_39946 and tr_I1PGD0_I1PGD0_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A2XMZ6_A2XMZ6_ORYSI_39946 and tr_A0A0E0P2M6_A0A0E0P2M6_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0PCI5_A0A0E0PCI5_ORYRU_4529 and tr_Q7XPS1_Q7XPS1_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_B3RIP7_B3RIP7_TRIAD_10228 and tr_A0A369SJP1_A0A369SJP1_9METZ_287889 are exactly identical!
WARNING: Sequences tr_A0A0D2XB64_A0A0D2XB64_FUSO4_426428 and tr_A0A2H3I9U6_A0A2H3I9U6_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_W2QKY9_W2QKY9_PHYPN_761204 and tr_A0A0W8CLF3_A0A0W8CLF3_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QKY9_W2QKY9_PHYPN_761204 and tr_W2LQR7_W2LQR7_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A015NBB5_A0A015NBB5_9GLOM_1432141 and tr_A0A2H5RC35_A0A2H5RC35_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A044SVE0_A0A044SVE0_ONCVO_6282 and tr_A0A182EE66_A0A182EE66_ONCOC_42157 are exactly identical!
WARNING: Sequences tr_V4SVD0_V4SVD0_9ROSI_85681 and tr_A0A2H5MWP2_A0A2H5MWP2_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0F0I0Y8_A0A0F0I0Y8_ASPPU_1403190 and tr_A0A2G7FZR8_A0A2G7FZR8_9EURO_656916 are exactly identical!
WARNING: Sequences tr_A0A0F8VMI1_A0A0F8VMI1_9EURO_308745 and tr_A0A2T5M986_A0A2T5M986_9EURO_1392256 are exactly identical!
WARNING: Sequences tr_A0A0V1CIT7_A0A0V1CIT7_TRIBR_45882 and tr_A0A0V0UL90_A0A0V0UL90_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A1S4APM1_A0A1S4APM1_TOBAC_4097 and tr_A0A1U7XTK6_A0A1U7XTK6_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A2U3VKS5_A0A2U3VKS5_ODORO_9708 and tr_A0A2U3Y4X9_A0A2U3Y4X9_LEPWE_9713 are exactly identical!
WARNING: Duplicate sequences found: 21

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/Q8WUQ7/3_mltree/Q8WUQ7.raxml.reduced.phy

Alignment comprises 1 partitions and 439 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 439 / 439
Gaps: 11.95 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.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 924 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 63 / 5040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -606215.846928] Initial branch length optimization
[00:00:03 -519036.219672] Model parameter optimization (eps = 10.000000)
[00:00:23 -517663.699836] AUTODETECT spr round 1 (radius: 5)
[00:06:12 -363091.934423] AUTODETECT spr round 2 (radius: 10)
[00:09:47 -288503.888919] AUTODETECT spr round 3 (radius: 15)
[00:27:15 -241715.708062] AUTODETECT spr round 4 (radius: 20)
[00:29:06 -217188.276708] AUTODETECT spr round 5 (radius: 25)
[00:31:09 -214046.015764] SPR radius for FAST iterations: 25 (autodetect)
[00:31:09 -214046.015764] Model parameter optimization (eps = 3.000000)
[00:31:15 -214034.016044] FAST spr round 1 (radius: 25)
[00:33:19 -190051.387828] FAST spr round 2 (radius: 25)
[00:37:05 -188834.054277] FAST spr round 3 (radius: 25)
[00:40:40 -188751.548958] FAST spr round 4 (radius: 25)
[00:41:58 -188747.297376] FAST spr round 5 (radius: 25)
[00:43:11 -188747.293527] Model parameter optimization (eps = 1.000000)
[00:43:24 -188663.569744] SLOW spr round 1 (radius: 5)
[00:45:08 -188619.271450] SLOW spr round 2 (radius: 5)
[00:46:49 -188606.046452] SLOW spr round 3 (radius: 5)
[01:04:33 -188600.010346] SLOW spr round 4 (radius: 5)
[04:02:21 -188597.126668] SLOW spr round 5 (radius: 5)
[10:07:45 -188597.126175] SLOW spr round 6 (radius: 10)
[10:15:41 -188593.939220] SLOW spr round 7 (radius: 5)
[10:17:44 -188586.341530] SLOW spr round 8 (radius: 5)
[10:19:31 -188580.907337] SLOW spr round 9 (radius: 5)
[10:21:16 -188576.040858] SLOW spr round 10 (radius: 5)
[10:22:55 -188575.881641] SLOW spr round 11 (radius: 5)
[10:24:32 -188575.881553] SLOW spr round 12 (radius: 10)
[10:26:14 -188573.099724] SLOW spr round 13 (radius: 5)
[10:28:19 -188572.483152] SLOW spr round 14 (radius: 5)
[10:30:05 -188572.482963] SLOW spr round 15 (radius: 10)
[10:31:48 -188572.482942] SLOW spr round 16 (radius: 15)
[10:34:32 -188570.433541] SLOW spr round 17 (radius: 5)
[10:36:41 -188566.885044] SLOW spr round 18 (radius: 5)
[10:38:32 -188566.884263] SLOW spr round 19 (radius: 10)
[10:40:16 -188566.884162] SLOW spr round 20 (radius: 15)
[10:42:59 -188566.884142] SLOW spr round 21 (radius: 20)
[10:46:49 -188566.884136] SLOW spr round 22 (radius: 25)
[10:51:38 -188566.884133] Model parameter optimization (eps = 0.100000)

[10:51:48] ML tree search #1, logLikelihood: -188566.326651

[10:51:48 -607823.391010] Initial branch length optimization
[10:51:51 -523742.726076] Model parameter optimization (eps = 10.000000)
[10:52:13 -522312.814645] AUTODETECT spr round 1 (radius: 5)
[10:53:47 -377606.713820] AUTODETECT spr round 2 (radius: 10)
[10:55:36 -288857.954409] AUTODETECT spr round 3 (radius: 15)
[10:57:19 -254262.583201] AUTODETECT spr round 4 (radius: 20)
[10:59:17 -227791.865966] AUTODETECT spr round 5 (radius: 25)
[11:01:21 -221279.682375] SPR radius for FAST iterations: 25 (autodetect)
[11:01:21 -221279.682375] Model parameter optimization (eps = 3.000000)
[11:01:35 -221196.794943] FAST spr round 1 (radius: 25)
[11:04:14 -189653.352020] FAST spr round 2 (radius: 25)
[11:06:15 -188700.511067] FAST spr round 3 (radius: 25)
[11:07:48 -188628.412009] FAST spr round 4 (radius: 25)
[11:09:11 -188623.259880] FAST spr round 5 (radius: 25)
[11:10:28 -188623.259079] Model parameter optimization (eps = 1.000000)
[11:10:40 -188619.835216] SLOW spr round 1 (radius: 5)
[11:12:32 -188563.879268] SLOW spr round 2 (radius: 5)
[11:20:02 -188558.590867] SLOW spr round 3 (radius: 5)
[11:21:47 -188556.903031] SLOW spr round 4 (radius: 5)
[11:23:23 -188555.293120] SLOW spr round 5 (radius: 5)
[11:24:56 -188555.292794] SLOW spr round 6 (radius: 10)
[11:26:43 -188555.292692] SLOW spr round 7 (radius: 15)
[11:29:56 -188555.292612] SLOW spr round 8 (radius: 20)
[11:33:40 -188555.292536] SLOW spr round 9 (radius: 25)
[11:43:21 -188555.292462] Model parameter optimization (eps = 0.100000)

[11:43:28] ML tree search #2, logLikelihood: -188554.934964

[11:43:28 -605765.982989] Initial branch length optimization
[11:43:34 -521971.677043] Model parameter optimization (eps = 10.000000)
[11:43:56 -520466.941918] AUTODETECT spr round 1 (radius: 5)
[11:46:01 -371541.773751] AUTODETECT spr round 2 (radius: 10)
[11:47:59 -282728.846819] AUTODETECT spr round 3 (radius: 15)
[11:50:17 -238273.286224] AUTODETECT spr round 4 (radius: 20)
[11:52:57 -220164.171246] AUTODETECT spr round 5 (radius: 25)
[11:56:00 -217439.989286] SPR radius for FAST iterations: 25 (autodetect)
[11:56:00 -217439.989286] Model parameter optimization (eps = 3.000000)
[11:56:19 -217244.478535] FAST spr round 1 (radius: 25)
[11:58:54 -189614.988247] FAST spr round 2 (radius: 25)
[12:01:14 -188709.661757] FAST spr round 3 (radius: 25)
[12:03:18 -188602.067528] FAST spr round 4 (radius: 25)
[12:05:04 -188597.615442] FAST spr round 5 (radius: 25)
[12:06:43 -188597.612980] Model parameter optimization (eps = 1.000000)
[12:06:56 -188583.331706] SLOW spr round 1 (radius: 5)
[12:08:57 -188560.276838] SLOW spr round 2 (radius: 5)
[12:10:53 -188559.685347] SLOW spr round 3 (radius: 5)
[12:12:50 -188559.683734] SLOW spr round 4 (radius: 10)
[12:15:01 -188559.683308] SLOW spr round 5 (radius: 15)
[12:18:30 -188559.683117] SLOW spr round 6 (radius: 20)
[12:22:51 -188557.400142] SLOW spr round 7 (radius: 5)
[12:25:21 -188557.323065] SLOW spr round 8 (radius: 10)
[12:27:42 -188556.396901] SLOW spr round 9 (radius: 5)
[12:30:18 -188553.008964] SLOW spr round 10 (radius: 5)
[12:32:33 -188553.008581] SLOW spr round 11 (radius: 10)
[12:34:47 -188553.008479] SLOW spr round 12 (radius: 15)
[12:38:08 -188553.008395] SLOW spr round 13 (radius: 20)
[12:43:15 -188553.008315] SLOW spr round 14 (radius: 25)
[12:49:07 -188553.008235] Model parameter optimization (eps = 0.100000)

[12:49:13] ML tree search #3, logLikelihood: -188552.946022

[12:49:13 -611346.678327] Initial branch length optimization
[12:49:16 -524748.491874] Model parameter optimization (eps = 10.000000)
[12:49:42 -523262.247641] AUTODETECT spr round 1 (radius: 5)
[12:51:29 -366372.760823] AUTODETECT spr round 2 (radius: 10)
[12:53:17 -293057.186484] AUTODETECT spr round 3 (radius: 15)
[12:55:14 -250863.881237] AUTODETECT spr round 4 (radius: 20)
[12:57:17 -227236.949293] AUTODETECT spr round 5 (radius: 25)
[12:59:43 -215302.401991] SPR radius for FAST iterations: 25 (autodetect)
[12:59:43 -215302.401991] Model parameter optimization (eps = 3.000000)
[12:59:58 -215195.732860] FAST spr round 1 (radius: 25)
[13:02:13 -189997.112594] FAST spr round 2 (radius: 25)
[13:04:04 -188738.655858] FAST spr round 3 (radius: 25)
[13:05:44 -188685.476458] FAST spr round 4 (radius: 25)
[13:07:12 -188678.316881] FAST spr round 5 (radius: 25)
[13:08:35 -188678.316647] Model parameter optimization (eps = 1.000000)
[13:08:43 -188677.723558] SLOW spr round 1 (radius: 5)
[13:10:35 -188610.723205] SLOW spr round 2 (radius: 5)
[13:12:27 -188597.839081] SLOW spr round 3 (radius: 5)
[13:14:11 -188597.270116] SLOW spr round 4 (radius: 5)
[13:15:57 -188597.269701] SLOW spr round 5 (radius: 10)
[13:17:44 -188596.158175] SLOW spr round 6 (radius: 5)
[13:19:49 -188594.555449] SLOW spr round 7 (radius: 5)
[13:21:46 -188592.486238] SLOW spr round 8 (radius: 5)
[13:23:34 -188592.486036] SLOW spr round 9 (radius: 10)
[13:25:21 -188590.395249] SLOW spr round 10 (radius: 5)
[13:27:27 -188590.390687] SLOW spr round 11 (radius: 10)
[13:29:27 -188589.839118] SLOW spr round 12 (radius: 5)
[13:31:33 -188588.453986] SLOW spr round 13 (radius: 5)
[13:33:23 -188586.659131] SLOW spr round 14 (radius: 5)
[13:35:13 -188585.143215] SLOW spr round 15 (radius: 5)
[13:37:00 -188584.628934] SLOW spr round 16 (radius: 5)
[13:38:41 -188584.628774] SLOW spr round 17 (radius: 10)
[13:40:26 -188584.628674] SLOW spr round 18 (radius: 15)
[13:43:23 -188582.288735] SLOW spr round 19 (radius: 5)
[13:45:39 -188576.111815] SLOW spr round 20 (radius: 5)
[13:47:40 -188571.882473] SLOW spr round 21 (radius: 5)
[13:49:34 -188568.183122] SLOW spr round 22 (radius: 5)
[13:51:17 -188567.972244] SLOW spr round 23 (radius: 5)
[13:53:02 -188567.972229] SLOW spr round 24 (radius: 10)
[13:54:45 -188567.972229] SLOW spr round 25 (radius: 15)
[13:57:50 -188567.972228] SLOW spr round 26 (radius: 20)
[14:02:10 -188567.972227] SLOW spr round 27 (radius: 25)
[14:56:59 -188567.972227] Model parameter optimization (eps = 0.100000)

[14:57:06] ML tree search #4, logLikelihood: -188567.827102

[14:57:06 -607008.890525] Initial branch length optimization
[14:57:08 -520225.685744] Model parameter optimization (eps = 10.000000)
[14:57:32 -518860.522060] AUTODETECT spr round 1 (radius: 5)
[14:59:08 -361333.913209] AUTODETECT spr round 2 (radius: 10)
[15:00:51 -275485.993704] AUTODETECT spr round 3 (radius: 15)
[15:02:43 -232649.783408] AUTODETECT spr round 4 (radius: 20)
[15:04:52 -217817.262592] AUTODETECT spr round 5 (radius: 25)
[15:07:19 -211513.997880] SPR radius for FAST iterations: 25 (autodetect)
[15:07:19 -211513.997880] Model parameter optimization (eps = 3.000000)
[15:07:35 -211375.070924] FAST spr round 1 (radius: 25)
[15:09:58 -189869.532807] FAST spr round 2 (radius: 25)
[15:11:47 -188662.131121] FAST spr round 3 (radius: 25)
[15:13:27 -188622.769424] FAST spr round 4 (radius: 25)
[15:14:53 -188615.092998] FAST spr round 5 (radius: 25)
[15:16:14 -188615.092584] Model parameter optimization (eps = 1.000000)
[15:16:26 -188612.951382] SLOW spr round 1 (radius: 5)
[15:18:20 -188559.390635] SLOW spr round 2 (radius: 5)
[15:20:07 -188552.904344] SLOW spr round 3 (radius: 5)
[15:21:52 -188552.520619] SLOW spr round 4 (radius: 5)
[15:23:32 -188552.520534] SLOW spr round 5 (radius: 10)
[15:25:17 -188551.003769] SLOW spr round 6 (radius: 5)
[15:27:23 -188550.754230] SLOW spr round 7 (radius: 5)
[15:29:16 -188550.753004] SLOW spr round 8 (radius: 10)
[15:31:04 -188550.752726] SLOW spr round 9 (radius: 15)
[15:34:00 -188544.321252] SLOW spr round 10 (radius: 5)
[15:36:08 -188543.521598] SLOW spr round 11 (radius: 5)
[15:38:02 -188543.521107] SLOW spr round 12 (radius: 10)
[15:39:50 -188543.520991] SLOW spr round 13 (radius: 15)
[15:42:41 -188543.520915] SLOW spr round 14 (radius: 20)
[15:46:45 -188543.520841] SLOW spr round 15 (radius: 25)
[15:51:57 -188543.520769] Model parameter optimization (eps = 0.100000)

[15:52:06] ML tree search #5, logLikelihood: -188543.402626

[15:52:06 -605075.223304] Initial branch length optimization
[15:52:12 -519719.463725] Model parameter optimization (eps = 10.000000)
[15:52:33 -518316.826914] AUTODETECT spr round 1 (radius: 5)
[15:54:22 -359744.290734] AUTODETECT spr round 2 (radius: 10)
[15:56:07 -275479.905445] AUTODETECT spr round 3 (radius: 15)
[15:58:02 -233221.524918] AUTODETECT spr round 4 (radius: 20)
[16:00:05 -222208.971289] AUTODETECT spr round 5 (radius: 25)
[16:02:16 -217498.844918] SPR radius for FAST iterations: 25 (autodetect)
[16:02:16 -217498.844918] Model parameter optimization (eps = 3.000000)
[16:02:33 -217358.385299] FAST spr round 1 (radius: 25)
[16:04:42 -189610.354858] FAST spr round 2 (radius: 25)
[16:06:24 -188706.748668] FAST spr round 3 (radius: 25)
[16:07:58 -188652.368274] FAST spr round 4 (radius: 25)
[16:09:22 -188639.851189] FAST spr round 5 (radius: 25)
[16:10:41 -188639.848217] Model parameter optimization (eps = 1.000000)
[16:10:54 -188637.417259] SLOW spr round 1 (radius: 5)
[16:12:45 -188591.351333] SLOW spr round 2 (radius: 5)
[16:14:55 -188583.714019] SLOW spr round 3 (radius: 5)
[16:16:37 -188575.676308] SLOW spr round 4 (radius: 5)
[16:18:19 -188575.675985] SLOW spr round 5 (radius: 10)
[16:20:05 -188571.037298] SLOW spr round 6 (radius: 5)
[16:22:10 -188568.750395] SLOW spr round 7 (radius: 5)
[16:24:01 -188568.708053] SLOW spr round 8 (radius: 10)
[16:25:47 -188568.707029] SLOW spr round 9 (radius: 15)
[16:29:24 -188566.563473] SLOW spr round 10 (radius: 5)
[16:31:54 -188564.443704] SLOW spr round 11 (radius: 5)
[16:34:03 -188564.443543] SLOW spr round 12 (radius: 10)
[16:36:13 -188564.443539] SLOW spr round 13 (radius: 15)
[16:39:50 -188564.443538] SLOW spr round 14 (radius: 20)
[16:44:51 -188562.210053] SLOW spr round 15 (radius: 5)
[16:47:16 -188562.182885] SLOW spr round 16 (radius: 10)
[16:49:26 -188562.182239] SLOW spr round 17 (radius: 15)
[16:52:57 -188562.182175] SLOW spr round 18 (radius: 20)
[16:57:42 -188562.182170] SLOW spr round 19 (radius: 25)
[17:03:10 -188562.182169] Model parameter optimization (eps = 0.100000)

[17:03:15] ML tree search #6, logLikelihood: -188562.105382

[17:03:15 -606308.552215] Initial branch length optimization
[17:03:19 -520834.985569] Model parameter optimization (eps = 10.000000)
[17:03:55 -519431.416504] AUTODETECT spr round 1 (radius: 5)
[17:05:42 -367584.731547] AUTODETECT spr round 2 (radius: 10)
[17:08:07 -288471.921355] AUTODETECT spr round 3 (radius: 15)
[17:10:23 -241901.496568] AUTODETECT spr round 4 (radius: 20)
[17:13:13 -220098.244211] AUTODETECT spr round 5 (radius: 25)
[17:16:08 -217419.149840] SPR radius for FAST iterations: 25 (autodetect)
[17:16:08 -217419.149840] Model parameter optimization (eps = 3.000000)
[17:16:24 -217299.419895] FAST spr round 1 (radius: 25)
[17:19:02 -189509.865091] FAST spr round 2 (radius: 25)
[17:21:13 -188725.082997] FAST spr round 3 (radius: 25)
[17:23:08 -188659.261679] FAST spr round 4 (radius: 25)
[17:24:43 -188641.344965] FAST spr round 5 (radius: 25)
[17:26:38 -188636.650918] FAST spr round 6 (radius: 25)
[17:28:14 -188636.649634] Model parameter optimization (eps = 1.000000)
[17:28:30 -188634.485889] SLOW spr round 1 (radius: 5)
[17:31:00 -188583.582962] SLOW spr round 2 (radius: 5)
[17:32:58 -188576.676753] SLOW spr round 3 (radius: 5)
[17:35:08 -188576.675185] SLOW spr round 4 (radius: 10)
[17:37:16 -188573.763203] SLOW spr round 5 (radius: 5)
[17:39:36 -188571.232385] SLOW spr round 6 (radius: 5)
[17:41:38 -188571.232349] SLOW spr round 7 (radius: 10)
[17:43:29 -188569.466278] SLOW spr round 8 (radius: 5)
[17:45:49 -188568.964371] SLOW spr round 9 (radius: 5)
[17:47:42 -188568.964319] SLOW spr round 10 (radius: 10)
[17:49:48 -188568.964319] SLOW spr round 11 (radius: 15)
[17:53:46 -188566.466872] SLOW spr round 12 (radius: 5)
[17:56:04 -188566.270077] SLOW spr round 13 (radius: 5)
[17:58:10 -188566.270048] SLOW spr round 14 (radius: 10)
[18:00:03 -188566.270037] SLOW spr round 15 (radius: 15)
[18:03:20 -188566.270037] SLOW spr round 16 (radius: 20)
[18:07:56 -188566.270036] SLOW spr round 17 (radius: 25)
[18:14:04 -188566.270036] Model parameter optimization (eps = 0.100000)

[18:14:10] ML tree search #7, logLikelihood: -188566.185360

[18:14:10 -608079.070577] Initial branch length optimization
[18:14:13 -522853.681874] Model parameter optimization (eps = 10.000000)
[18:14:33 -521387.072204] AUTODETECT spr round 1 (radius: 5)
[18:16:31 -361429.320129] AUTODETECT spr round 2 (radius: 10)
[18:18:26 -283867.226439] AUTODETECT spr round 3 (radius: 15)
[18:20:44 -232211.196790] AUTODETECT spr round 4 (radius: 20)
[18:23:08 -214777.450020] AUTODETECT spr round 5 (radius: 25)
[18:26:35 -214102.392133] SPR radius for FAST iterations: 25 (autodetect)
[18:26:35 -214102.392133] Model parameter optimization (eps = 3.000000)
[18:26:51 -214026.245429] FAST spr round 1 (radius: 25)
[18:29:18 -189662.740851] FAST spr round 2 (radius: 25)
[18:31:26 -188718.103307] FAST spr round 3 (radius: 25)
[18:33:28 -188666.029498] FAST spr round 4 (radius: 25)
[18:34:59 -188651.871634] FAST spr round 5 (radius: 25)
[18:36:26 -188647.121201] FAST spr round 6 (radius: 25)
[18:38:28 -188647.121102] Model parameter optimization (eps = 1.000000)
[18:38:44 -188643.229214] SLOW spr round 1 (radius: 5)
[18:40:53 -188598.763380] SLOW spr round 2 (radius: 5)
[18:42:47 -188596.485839] SLOW spr round 3 (radius: 5)
[18:44:31 -188596.485406] SLOW spr round 4 (radius: 10)
[18:46:25 -188595.950628] SLOW spr round 5 (radius: 5)
[18:48:43 -188595.950202] SLOW spr round 6 (radius: 10)
[18:50:44 -188595.950094] SLOW spr round 7 (radius: 15)
[18:53:58 -188595.014215] SLOW spr round 8 (radius: 5)
[18:56:39 -188595.013258] SLOW spr round 9 (radius: 10)
[18:58:59 -188595.013159] SLOW spr round 10 (radius: 15)
[19:02:37 -188595.013085] SLOW spr round 11 (radius: 20)
[19:06:53 -188589.408498] SLOW spr round 12 (radius: 5)
[19:09:27 -188583.470666] SLOW spr round 13 (radius: 5)
[19:11:27 -188583.469178] SLOW spr round 14 (radius: 10)
[19:13:20 -188582.751996] SLOW spr round 15 (radius: 5)
[19:15:27 -188581.117101] SLOW spr round 16 (radius: 5)
[19:17:19 -188579.662383] SLOW spr round 17 (radius: 5)
[19:19:03 -188579.661720] SLOW spr round 18 (radius: 10)
[19:20:51 -188579.661526] SLOW spr round 19 (radius: 15)
[19:23:41 -188579.661427] SLOW spr round 20 (radius: 20)
[19:27:35 -188579.661349] SLOW spr round 21 (radius: 25)
[19:32:22 -188579.661274] Model parameter optimization (eps = 0.100000)

[19:32:27] ML tree search #8, logLikelihood: -188579.603284

[19:32:27 -609553.562348] Initial branch length optimization
[19:32:31 -523340.543283] Model parameter optimization (eps = 10.000000)
[19:32:52 -521840.762104] AUTODETECT spr round 1 (radius: 5)
[19:34:26 -370517.285357] AUTODETECT spr round 2 (radius: 10)
[19:36:11 -279512.431646] AUTODETECT spr round 3 (radius: 15)
[19:38:04 -238556.604942] AUTODETECT spr round 4 (radius: 20)
[19:40:10 -217561.788267] AUTODETECT spr round 5 (radius: 25)
[19:42:24 -212794.591891] SPR radius for FAST iterations: 25 (autodetect)
[19:42:24 -212794.591891] Model parameter optimization (eps = 3.000000)
[19:42:38 -212584.272080] FAST spr round 1 (radius: 25)
[19:44:54 -189929.390785] FAST spr round 2 (radius: 25)
[19:46:40 -188718.902683] FAST spr round 3 (radius: 25)
[19:48:14 -188621.636527] FAST spr round 4 (radius: 25)
[19:49:35 -188606.662067] FAST spr round 5 (radius: 25)
[19:50:55 -188606.661393] Model parameter optimization (eps = 1.000000)
[19:51:07 -188602.241700] SLOW spr round 1 (radius: 5)
[19:53:02 -188585.555553] SLOW spr round 2 (radius: 5)
[19:54:46 -188585.553254] SLOW spr round 3 (radius: 10)
[19:56:31 -188582.862118] SLOW spr round 4 (radius: 5)
[19:58:38 -188580.196547] SLOW spr round 5 (radius: 5)
[20:00:29 -188580.196053] SLOW spr round 6 (radius: 10)
[20:02:14 -188580.124232] SLOW spr round 7 (radius: 15)
[20:05:02 -188578.618685] SLOW spr round 8 (radius: 5)
[20:07:11 -188573.823398] SLOW spr round 9 (radius: 5)
[20:09:01 -188572.447052] SLOW spr round 10 (radius: 5)
[20:10:43 -188572.442399] SLOW spr round 11 (radius: 10)
[20:12:23 -188572.363724] SLOW spr round 12 (radius: 15)
[20:15:04 -188572.362924] SLOW spr round 13 (radius: 20)
[20:18:45 -188571.710499] SLOW spr round 14 (radius: 5)
[20:20:54 -188570.970998] SLOW spr round 15 (radius: 5)
[20:22:47 -188564.927216] SLOW spr round 16 (radius: 5)
[20:24:32 -188564.449407] SLOW spr round 17 (radius: 5)
[20:26:10 -188564.449224] SLOW spr round 18 (radius: 10)
[20:27:50 -188548.312591] SLOW spr round 19 (radius: 5)
[20:29:46 -188548.309026] SLOW spr round 20 (radius: 10)
[20:31:35 -188548.308937] SLOW spr round 21 (radius: 15)
[20:34:12 -188548.308863] SLOW spr round 22 (radius: 20)
[20:37:52 -188548.308789] SLOW spr round 23 (radius: 25)
[22:06:56 -188548.308717] Model parameter optimization (eps = 0.100000)

[22:07:06] ML tree search #9, logLikelihood: -188548.020658

[22:07:06 -606456.504964] Initial branch length optimization
[22:07:10 -521485.174198] Model parameter optimization (eps = 10.000000)
[22:07:31 -520049.722279] AUTODETECT spr round 1 (radius: 5)
[22:08:58 -367775.459057] AUTODETECT spr round 2 (radius: 10)
[22:10:39 -274779.083691] AUTODETECT spr round 3 (radius: 15)
[22:12:26 -228469.834612] AUTODETECT spr round 4 (radius: 20)
[22:14:22 -216280.500493] AUTODETECT spr round 5 (radius: 25)
[24:17:10 -214745.140005] SPR radius for FAST iterations: 25 (autodetect)
[24:17:10 -214745.140005] Model parameter optimization (eps = 3.000000)
[24:22:06 -214656.225932] FAST spr round 1 (radius: 25)
[28:33:08 -189538.513104] FAST spr round 2 (radius: 25)
[32:36:07 -188727.246316] FAST spr round 3 (radius: 25)
[34:50:44 -188623.937220] FAST spr round 4 (radius: 25)
[35:49:50 -188610.940635] FAST spr round 5 (radius: 25)
[36:27:57 -188608.830245] FAST spr round 6 (radius: 25)
[36:29:10 -188608.828948] Model parameter optimization (eps = 1.000000)
[36:29:23 -188607.484638] SLOW spr round 1 (radius: 5)
[36:53:45 -188579.308808] SLOW spr round 2 (radius: 5)
[39:20:34 -188572.564691] SLOW spr round 3 (radius: 5)
[40:51:24 -188568.908492] SLOW spr round 4 (radius: 5)
[43:00:21 -188568.907769] SLOW spr round 5 (radius: 10)
[43:01:59 -188568.907197] SLOW spr round 6 (radius: 15)
[43:04:45 -188568.906722] SLOW spr round 7 (radius: 20)
[45:10:13 -188568.906323] SLOW spr round 8 (radius: 25)
[47:23:33 -188568.076132] SLOW spr round 9 (radius: 5)
[47:25:38 -188567.789533] SLOW spr round 10 (radius: 5)
[48:28:09 -188567.789349] SLOW spr round 11 (radius: 10)
[49:05:50 -188567.789216] SLOW spr round 12 (radius: 15)
[49:08:29 -188567.789109] SLOW spr round 13 (radius: 20)
[49:56:37 -188567.789023] SLOW spr round 14 (radius: 25)
[50:03:35 -188567.788953] Model parameter optimization (eps = 0.100000)

[50:03:39] ML tree search #10, logLikelihood: -188567.734846

[50:03:39 -607029.405906] Initial branch length optimization
[50:03:41 -520000.599084] Model parameter optimization (eps = 10.000000)
[50:04:11 -518515.822754] AUTODETECT spr round 1 (radius: 5)
[50:05:41 -369247.217140] AUTODETECT spr round 2 (radius: 10)
[50:07:21 -286960.847255] AUTODETECT spr round 3 (radius: 15)
[50:09:08 -236899.979004] AUTODETECT spr round 4 (radius: 20)
[50:11:00 -219602.005185] AUTODETECT spr round 5 (radius: 25)
[50:12:57 -215633.432573] SPR radius for FAST iterations: 25 (autodetect)
[50:12:57 -215633.432573] Model parameter optimization (eps = 3.000000)
[50:13:10 -215550.822250] FAST spr round 1 (radius: 25)
[50:15:19 -190449.171729] FAST spr round 2 (radius: 25)
[50:17:00 -188765.107197] FAST spr round 3 (radius: 25)
[50:18:30 -188634.832218] FAST spr round 4 (radius: 25)
[50:39:55 -188613.177872] FAST spr round 5 (radius: 25)
[50:41:21 -188604.504870] FAST spr round 6 (radius: 25)
[50:42:42 -188604.504497] Model parameter optimization (eps = 1.000000)
[50:42:49 -188603.923619] SLOW spr round 1 (radius: 5)
[50:44:39 -188578.481325] SLOW spr round 2 (radius: 5)
[50:46:25 -188577.090361] SLOW spr round 3 (radius: 5)
[50:48:08 -188577.090091] SLOW spr round 4 (radius: 10)
[50:49:52 -188577.089967] SLOW spr round 5 (radius: 15)
[50:52:45 -188576.739819] SLOW spr round 6 (radius: 5)
[50:54:54 -188576.739726] SLOW spr round 7 (radius: 10)
[50:56:53 -188576.739637] SLOW spr round 8 (radius: 15)
[50:59:35 -188576.739551] SLOW spr round 9 (radius: 20)
[51:03:39 -188576.076308] SLOW spr round 10 (radius: 5)
[51:05:57 -188575.246155] SLOW spr round 11 (radius: 5)
[51:07:56 -188575.244218] SLOW spr round 12 (radius: 10)
[51:09:44 -188575.244096] SLOW spr round 13 (radius: 15)
[51:12:28 -188575.244014] SLOW spr round 14 (radius: 20)
[51:16:26 -188575.243934] SLOW spr round 15 (radius: 25)
[51:21:13 -188575.243901] Model parameter optimization (eps = 0.100000)

[51:21:17] ML tree search #11, logLikelihood: -188575.211269

[51:21:18 -604084.187642] Initial branch length optimization
[51:21:21 -518230.106529] Model parameter optimization (eps = 10.000000)
[51:22:00 -516816.169621] AUTODETECT spr round 1 (radius: 5)
[51:23:30 -365051.780411] AUTODETECT spr round 2 (radius: 10)
[51:25:13 -276459.427284] AUTODETECT spr round 3 (radius: 15)
[51:27:05 -226711.707678] AUTODETECT spr round 4 (radius: 20)
[51:29:06 -213599.636790] AUTODETECT spr round 5 (radius: 25)
[51:31:28 -212169.759183] SPR radius for FAST iterations: 25 (autodetect)
[51:31:28 -212169.759183] Model parameter optimization (eps = 3.000000)
[51:31:43 -212062.844036] FAST spr round 1 (radius: 25)
[51:33:50 -189415.430633] FAST spr round 2 (radius: 25)
[51:35:33 -188675.904864] FAST spr round 3 (radius: 25)
[51:37:08 -188631.154606] FAST spr round 4 (radius: 25)
[51:38:34 -188629.692749] FAST spr round 5 (radius: 25)
[51:39:57 -188629.692194] Model parameter optimization (eps = 1.000000)
[51:40:07 -188628.660023] SLOW spr round 1 (radius: 5)
[51:41:59 -188583.783051] SLOW spr round 2 (radius: 5)
[51:43:46 -188583.556257] SLOW spr round 3 (radius: 5)
[51:45:29 -188583.551035] SLOW spr round 4 (radius: 10)
[51:47:15 -188580.923349] SLOW spr round 5 (radius: 5)
[51:49:21 -188580.696221] SLOW spr round 6 (radius: 5)
[51:51:14 -188580.694562] SLOW spr round 7 (radius: 10)
[51:53:03 -188579.892045] SLOW spr round 8 (radius: 5)
[51:55:07 -188579.411285] SLOW spr round 9 (radius: 5)
[51:57:00 -188579.411174] SLOW spr round 10 (radius: 10)
[51:58:50 -188579.411071] SLOW spr round 11 (radius: 15)
[52:01:44 -188578.353299] SLOW spr round 12 (radius: 5)
[52:03:55 -188577.720936] SLOW spr round 13 (radius: 5)
[52:05:51 -188577.640881] SLOW spr round 14 (radius: 10)
[52:07:44 -188577.373005] SLOW spr round 15 (radius: 5)
[52:09:48 -188576.821996] SLOW spr round 16 (radius: 5)
[52:11:41 -188576.821396] SLOW spr round 17 (radius: 10)
[52:13:31 -188576.821296] SLOW spr round 18 (radius: 15)
[52:16:22 -188576.821218] SLOW spr round 19 (radius: 20)
[52:20:21 -188576.821142] SLOW spr round 20 (radius: 25)
[52:25:10 -188576.821066] Model parameter optimization (eps = 0.100000)

[52:25:19] ML tree search #12, logLikelihood: -188575.998264

[52:25:20 -603367.840975] Initial branch length optimization
[52:25:24 -517991.805600] Model parameter optimization (eps = 10.000000)
[52:25:54 -516662.183704] AUTODETECT spr round 1 (radius: 5)
[52:27:28 -365169.209759] AUTODETECT spr round 2 (radius: 10)
[52:29:11 -280723.000842] AUTODETECT spr round 3 (radius: 15)
[52:31:03 -234137.296477] AUTODETECT spr round 4 (radius: 20)
[52:33:10 -216100.320960] AUTODETECT spr round 5 (radius: 25)
[52:35:23 -213886.396224] SPR radius for FAST iterations: 25 (autodetect)
[52:35:23 -213886.396224] Model parameter optimization (eps = 3.000000)
[52:35:39 -213753.889650] FAST spr round 1 (radius: 25)
[52:37:48 -189538.577085] FAST spr round 2 (radius: 25)
[52:39:39 -188719.743497] FAST spr round 3 (radius: 25)
[52:41:19 -188670.842910] FAST spr round 4 (radius: 25)
[52:42:50 -188656.992950] FAST spr round 5 (radius: 25)
[52:44:12 -188656.992814] Model parameter optimization (eps = 1.000000)
[52:44:26 -188653.605211] SLOW spr round 1 (radius: 5)
[52:46:19 -188620.135836] SLOW spr round 2 (radius: 5)
[52:48:12 -188612.598793] SLOW spr round 3 (radius: 5)
[52:50:03 -188608.216353] SLOW spr round 4 (radius: 5)
[52:51:50 -188605.397063] SLOW spr round 5 (radius: 5)
[52:53:36 -188605.393772] SLOW spr round 6 (radius: 10)
[52:55:25 -188604.438424] SLOW spr round 7 (radius: 5)
[52:57:36 -188601.956926] SLOW spr round 8 (radius: 5)
[52:59:31 -188601.956807] SLOW spr round 9 (radius: 10)
[53:01:24 -188601.956730] SLOW spr round 10 (radius: 15)
[53:04:15 -188600.978309] SLOW spr round 11 (radius: 5)
[53:06:29 -188600.964247] SLOW spr round 12 (radius: 10)
[53:08:34 -188600.961513] SLOW spr round 13 (radius: 15)
[53:11:18 -188600.960934] SLOW spr round 14 (radius: 20)
[53:15:00 -188600.897122] SLOW spr round 15 (radius: 25)
[53:19:12 -188600.889342] Model parameter optimization (eps = 0.100000)

[53:19:22] ML tree search #13, logLikelihood: -188600.311650

[53:19:23 -600776.970504] Initial branch length optimization
[53:19:26 -516010.202957] Model parameter optimization (eps = 10.000000)
[53:19:46 -514638.280887] AUTODETECT spr round 1 (radius: 5)
[53:21:16 -367568.555354] AUTODETECT spr round 2 (radius: 10)
[53:22:59 -292953.072846] AUTODETECT spr round 3 (radius: 15)
[53:24:48 -242274.878674] AUTODETECT spr round 4 (radius: 20)
[53:26:50 -218302.067445] AUTODETECT spr round 5 (radius: 25)
[53:29:03 -215817.395637] SPR radius for FAST iterations: 25 (autodetect)
[53:29:03 -215817.395637] Model parameter optimization (eps = 3.000000)
[53:29:19 -215729.952663] FAST spr round 1 (radius: 25)
[53:31:32 -190475.223151] FAST spr round 2 (radius: 25)
[53:33:23 -188780.804067] FAST spr round 3 (radius: 25)
[53:35:00 -188672.593260] FAST spr round 4 (radius: 25)
[53:36:26 -188635.657486] FAST spr round 5 (radius: 25)
[53:37:49 -188634.069021] FAST spr round 6 (radius: 25)
[53:39:11 -188634.068949] Model parameter optimization (eps = 1.000000)
[53:39:24 -188632.028030] SLOW spr round 1 (radius: 5)
[53:41:15 -188600.437802] SLOW spr round 2 (radius: 5)
[53:43:05 -188587.038222] SLOW spr round 3 (radius: 5)
[53:44:52 -188583.562502] SLOW spr round 4 (radius: 5)
[53:46:38 -188583.561643] SLOW spr round 5 (radius: 10)
[53:48:27 -188581.158233] SLOW spr round 6 (radius: 5)
[53:50:35 -188578.056960] SLOW spr round 7 (radius: 5)
[53:52:31 -188569.924366] SLOW spr round 8 (radius: 5)
[53:54:20 -188568.303364] SLOW spr round 9 (radius: 5)
[53:56:06 -188568.301493] SLOW spr round 10 (radius: 10)
[53:57:56 -188567.323428] SLOW spr round 11 (radius: 5)
[54:00:01 -188566.794555] SLOW spr round 12 (radius: 5)
[54:01:51 -188566.794430] SLOW spr round 13 (radius: 10)
[54:03:40 -188566.380159] SLOW spr round 14 (radius: 5)
[54:05:44 -188565.493575] SLOW spr round 15 (radius: 5)
[54:07:34 -188565.493425] SLOW spr round 16 (radius: 10)
[54:09:21 -188565.324739] SLOW spr round 17 (radius: 5)
[54:11:21 -188565.309427] SLOW spr round 18 (radius: 10)
[54:13:13 -188565.306629] SLOW spr round 19 (radius: 15)
[54:15:59 -188564.581270] SLOW spr round 20 (radius: 5)
[54:18:09 -188564.580423] SLOW spr round 21 (radius: 10)
[54:20:11 -188564.580371] SLOW spr round 22 (radius: 15)
[54:22:55 -188564.580351] SLOW spr round 23 (radius: 20)
[54:26:46 -188563.233038] SLOW spr round 24 (radius: 5)
[54:28:58 -188562.759949] SLOW spr round 25 (radius: 5)
[54:30:55 -188562.759878] SLOW spr round 26 (radius: 10)
[54:32:46 -188562.759866] SLOW spr round 27 (radius: 15)
[54:35:34 -188562.759857] SLOW spr round 28 (radius: 20)
[54:39:23 -188562.759849] SLOW spr round 29 (radius: 25)
[54:43:48 -188562.759843] Model parameter optimization (eps = 0.100000)

[54:43:57] ML tree search #14, logLikelihood: -188562.364289

[54:43:57 -606576.577412] Initial branch length optimization
[54:44:00 -521485.783630] Model parameter optimization (eps = 10.000000)
[54:44:38 -519972.958178] AUTODETECT spr round 1 (radius: 5)
[54:46:11 -367288.169508] AUTODETECT spr round 2 (radius: 10)
[54:47:57 -276698.844343] AUTODETECT spr round 3 (radius: 15)
[54:49:50 -234808.919678] AUTODETECT spr round 4 (radius: 20)
[54:51:50 -217855.929261] AUTODETECT spr round 5 (radius: 25)
[54:53:47 -215644.853030] SPR radius for FAST iterations: 25 (autodetect)
[54:53:47 -215644.853030] Model parameter optimization (eps = 3.000000)
[54:54:01 -215519.892766] FAST spr round 1 (radius: 25)
[54:56:08 -189740.203959] FAST spr round 2 (radius: 25)
[54:57:51 -188769.771652] FAST spr round 3 (radius: 25)
[54:59:24 -188624.802010] FAST spr round 4 (radius: 25)
[55:00:47 -188620.421892] FAST spr round 5 (radius: 25)
[55:02:05 -188620.202983] FAST spr round 6 (radius: 25)
[55:03:21 -188620.202743] Model parameter optimization (eps = 1.000000)
[55:03:31 -188618.545290] SLOW spr round 1 (radius: 5)
[55:05:15 -188577.229058] SLOW spr round 2 (radius: 5)
[55:06:58 -188566.240953] SLOW spr round 3 (radius: 5)
[55:08:36 -188566.011520] SLOW spr round 4 (radius: 5)
[55:10:15 -188566.011185] SLOW spr round 5 (radius: 10)
[55:12:00 -188566.011069] SLOW spr round 6 (radius: 15)
[55:14:58 -188555.070023] SLOW spr round 7 (radius: 5)
[55:17:07 -188555.068178] SLOW spr round 8 (radius: 10)
[55:19:10 -188553.378557] SLOW spr round 9 (radius: 5)
[55:21:13 -188552.650817] SLOW spr round 10 (radius: 5)
[55:23:05 -188552.467862] SLOW spr round 11 (radius: 5)
[55:24:51 -188552.465571] SLOW spr round 12 (radius: 10)
[55:26:39 -188552.464088] SLOW spr round 13 (radius: 15)
[55:29:29 -188551.923018] SLOW spr round 14 (radius: 5)
[55:31:39 -188551.922417] SLOW spr round 15 (radius: 10)
[55:33:39 -188551.922083] SLOW spr round 16 (radius: 15)
[55:36:25 -188551.921850] SLOW spr round 17 (radius: 20)
[55:40:13 -188551.921678] SLOW spr round 18 (radius: 25)
[55:44:46 -188551.475747] SLOW spr round 19 (radius: 5)
[55:46:57 -188551.175929] SLOW spr round 20 (radius: 5)
[55:48:53 -188551.175555] SLOW spr round 21 (radius: 10)
[55:50:43 -188551.175465] SLOW spr round 22 (radius: 15)
[55:53:29 -188551.175385] SLOW spr round 23 (radius: 20)
[55:57:20 -188551.175309] SLOW spr round 24 (radius: 25)
[56:01:56 -188551.175233] Model parameter optimization (eps = 0.100000)

[56:02:04] ML tree search #15, logLikelihood: -188550.939316

[56:02:04 -606566.993240] Initial branch length optimization
[56:02:08 -520193.724431] Model parameter optimization (eps = 10.000000)
[56:02:30 -518809.131053] AUTODETECT spr round 1 (radius: 5)
[56:04:00 -371865.016856] AUTODETECT spr round 2 (radius: 10)
[56:05:44 -288110.669129] AUTODETECT spr round 3 (radius: 15)
[56:07:31 -235349.373339] AUTODETECT spr round 4 (radius: 20)
[56:09:29 -213498.374016] AUTODETECT spr round 5 (radius: 25)
[56:11:41 -212019.016979] SPR radius for FAST iterations: 25 (autodetect)
[56:11:41 -212019.016979] Model parameter optimization (eps = 3.000000)
[56:11:58 -211882.549199] FAST spr round 1 (radius: 25)
[56:14:16 -189464.349015] FAST spr round 2 (radius: 25)
[56:16:02 -188676.385844] FAST spr round 3 (radius: 25)
[56:17:37 -188639.838509] FAST spr round 4 (radius: 25)
[56:19:04 -188634.840177] FAST spr round 5 (radius: 25)
[56:20:25 -188634.840092] Model parameter optimization (eps = 1.000000)
[56:20:36 -188633.805115] SLOW spr round 1 (radius: 5)
[56:22:24 -188586.261643] SLOW spr round 2 (radius: 5)
[56:24:11 -188581.743880] SLOW spr round 3 (radius: 5)
[56:25:56 -188578.213423] SLOW spr round 4 (radius: 5)
[56:27:38 -188578.212779] SLOW spr round 5 (radius: 10)
[56:29:23 -188570.784978] SLOW spr round 6 (radius: 5)
[56:31:27 -188569.732008] SLOW spr round 7 (radius: 5)
[56:33:20 -188569.729990] SLOW spr round 8 (radius: 10)
[56:35:08 -188569.560004] SLOW spr round 9 (radius: 5)
[56:37:13 -188569.558440] SLOW spr round 10 (radius: 10)
[56:39:10 -188568.055409] SLOW spr round 11 (radius: 5)
[56:41:10 -188568.052648] SLOW spr round 12 (radius: 10)
[56:43:03 -188568.052412] SLOW spr round 13 (radius: 15)
[56:45:46 -188566.993864] SLOW spr round 14 (radius: 5)
[56:47:54 -188566.362131] SLOW spr round 15 (radius: 5)
[56:49:48 -188566.361769] SLOW spr round 16 (radius: 10)
[56:51:35 -188566.361750] SLOW spr round 17 (radius: 15)
[56:54:16 -188566.361747] SLOW spr round 18 (radius: 20)
[56:58:01 -188566.361745] SLOW spr round 19 (radius: 25)
[57:02:30 -188566.361744] Model parameter optimization (eps = 0.100000)

[57:02:45] ML tree search #16, logLikelihood: -188565.904734

[57:02:45 -600491.999635] Initial branch length optimization
[57:02:50 -517898.425621] Model parameter optimization (eps = 10.000000)
[57:03:12 -516577.866439] AUTODETECT spr round 1 (radius: 5)
[57:04:42 -364711.217042] AUTODETECT spr round 2 (radius: 10)
[57:06:23 -275775.306908] AUTODETECT spr round 3 (radius: 15)
[57:08:15 -232457.241689] AUTODETECT spr round 4 (radius: 20)
[57:10:16 -216015.008697] AUTODETECT spr round 5 (radius: 25)
[57:12:25 -213405.704319] SPR radius for FAST iterations: 25 (autodetect)
[57:12:25 -213405.704319] Model parameter optimization (eps = 3.000000)
[57:12:44 -213290.451610] FAST spr round 1 (radius: 25)
[57:14:54 -189697.577306] FAST spr round 2 (radius: 25)
[57:16:40 -188722.293900] FAST spr round 3 (radius: 25)
[57:18:14 -188673.757247] FAST spr round 4 (radius: 25)
[57:19:39 -188673.708797] Model parameter optimization (eps = 1.000000)
[57:19:53 -188662.826741] SLOW spr round 1 (radius: 5)
[57:21:54 -188591.674249] SLOW spr round 2 (radius: 5)
[57:23:50 -188571.797413] SLOW spr round 3 (radius: 5)
[57:25:34 -188571.413320] SLOW spr round 4 (radius: 5)
[57:27:19 -188571.413173] SLOW spr round 5 (radius: 10)
[57:29:10 -188563.299251] SLOW spr round 6 (radius: 5)
[57:31:19 -188562.102940] SLOW spr round 7 (radius: 5)
[57:33:16 -188561.251030] SLOW spr round 8 (radius: 5)
[57:35:07 -188560.597910] SLOW spr round 9 (radius: 5)
[57:36:55 -188558.831115] SLOW spr round 10 (radius: 5)
[57:38:39 -188558.831011] SLOW spr round 11 (radius: 10)
[57:40:25 -188558.830928] SLOW spr round 12 (radius: 15)
[57:43:20 -188558.830850] SLOW spr round 13 (radius: 20)
[57:47:00 -188558.830774] SLOW spr round 14 (radius: 25)
[57:51:19 -188558.830699] Model parameter optimization (eps = 0.100000)

[57:51:35] ML tree search #17, logLikelihood: -188557.891950

[57:51:35 -608422.865392] Initial branch length optimization
[57:51:38 -523646.738717] Model parameter optimization (eps = 10.000000)
[57:52:00 -522249.920369] AUTODETECT spr round 1 (radius: 5)
[57:53:30 -370234.890787] AUTODETECT spr round 2 (radius: 10)
[57:55:10 -281429.257264] AUTODETECT spr round 3 (radius: 15)
[57:56:58 -238306.000678] AUTODETECT spr round 4 (radius: 20)
[57:58:59 -218818.818281] AUTODETECT spr round 5 (radius: 25)
[58:01:13 -216092.592430] SPR radius for FAST iterations: 25 (autodetect)
[58:01:14 -216092.592430] Model parameter optimization (eps = 3.000000)
[58:01:31 -215987.964522] FAST spr round 1 (radius: 25)
[58:03:45 -189473.465015] FAST spr round 2 (radius: 25)
[58:05:33 -188748.077230] FAST spr round 3 (radius: 25)
[58:07:08 -188672.008645] FAST spr round 4 (radius: 25)
[58:09:29 -188664.636487] FAST spr round 5 (radius: 25)
[58:11:11 -188657.944033] FAST spr round 6 (radius: 25)
[58:12:51 -188657.942409] Model parameter optimization (eps = 1.000000)
[58:13:05 -188655.467680] SLOW spr round 1 (radius: 5)
[58:22:40 -188580.727658] SLOW spr round 2 (radius: 5)
[58:24:30 -188569.063743] SLOW spr round 3 (radius: 5)
[58:26:24 -188569.060200] SLOW spr round 4 (radius: 10)
[58:28:15 -188558.585016] SLOW spr round 5 (radius: 5)
[58:30:25 -188556.298343] SLOW spr round 6 (radius: 5)
[58:32:20 -188554.970283] SLOW spr round 7 (radius: 5)
[58:34:10 -188554.970185] SLOW spr round 8 (radius: 10)
[58:35:59 -188554.491250] SLOW spr round 9 (radius: 5)
[58:38:07 -188553.888855] SLOW spr round 10 (radius: 5)
[58:40:02 -188553.888126] SLOW spr round 11 (radius: 10)
[58:41:55 -188553.780762] SLOW spr round 12 (radius: 5)
[58:44:02 -188553.214480] SLOW spr round 13 (radius: 5)
[61:07:39 -188553.214244] SLOW spr round 14 (radius: 10)
[61:09:29 -188553.214232] SLOW spr round 15 (radius: 15)
[61:12:22 -188552.248310] SLOW spr round 16 (radius: 5)
[61:14:31 -188552.095206] SLOW spr round 17 (radius: 5)
[61:16:27 -188552.092493] SLOW spr round 18 (radius: 10)
[61:18:18 -188551.881484] SLOW spr round 19 (radius: 5)
[61:20:20 -188551.497118] SLOW spr round 20 (radius: 5)
[61:22:10 -188551.496479] SLOW spr round 21 (radius: 10)
[61:23:56 -188551.496224] SLOW spr round 22 (radius: 15)
[61:26:44 -188551.496122] SLOW spr round 23 (radius: 20)
[61:31:01 -188551.496080] SLOW spr round 24 (radius: 25)
[61:35:43 -188551.496063] Model parameter optimization (eps = 0.100000)

[61:36:01] ML tree search #18, logLikelihood: -188550.559259

[61:36:01 -606666.325221] Initial branch length optimization
[61:36:04 -519953.364629] Model parameter optimization (eps = 10.000000)
[61:36:26 -518503.594260] AUTODETECT spr round 1 (radius: 5)
[61:38:08 -368612.159430] AUTODETECT spr round 2 (radius: 10)
[61:39:58 -290760.685019] AUTODETECT spr round 3 (radius: 15)
[61:41:52 -237656.848561] AUTODETECT spr round 4 (radius: 20)
[61:43:55 -219449.484373] AUTODETECT spr round 5 (radius: 25)
[61:46:07 -217726.493535] SPR radius for FAST iterations: 25 (autodetect)
[61:46:07 -217726.493535] Model parameter optimization (eps = 3.000000)
[61:46:26 -217640.901777] FAST spr round 1 (radius: 25)
[61:48:39 -189809.966080] FAST spr round 2 (radius: 25)
[61:50:33 -188705.872133] FAST spr round 3 (radius: 25)
[61:52:12 -188629.036061] FAST spr round 4 (radius: 25)
[61:53:42 -188618.294493] FAST spr round 5 (radius: 25)
[61:55:11 -188611.853333] FAST spr round 6 (radius: 25)
[61:56:37 -188611.851868] Model parameter optimization (eps = 1.000000)
[61:56:52 -188608.888954] SLOW spr round 1 (radius: 5)
[61:58:48 -188573.248508] SLOW spr round 2 (radius: 5)
[62:00:42 -188559.406001] SLOW spr round 3 (radius: 5)
[62:02:32 -188558.798912] SLOW spr round 4 (radius: 5)
[62:04:21 -188558.798026] SLOW spr round 5 (radius: 10)
[62:06:13 -188554.877942] SLOW spr round 6 (radius: 5)
[62:08:27 -188552.719942] SLOW spr round 7 (radius: 5)
[62:10:26 -188552.718426] SLOW spr round 8 (radius: 10)
[62:12:21 -188552.717998] SLOW spr round 9 (radius: 15)
[62:15:20 -188552.717869] SLOW spr round 10 (radius: 20)
[62:19:29 -188552.717828] SLOW spr round 11 (radius: 25)
[62:24:27 -188552.717814] Model parameter optimization (eps = 0.100000)

[62:24:34] ML tree search #19, logLikelihood: -188552.552589

[62:24:34 -606824.661920] Initial branch length optimization
[62:24:37 -520879.601339] Model parameter optimization (eps = 10.000000)
[62:24:59 -519476.709072] AUTODETECT spr round 1 (radius: 5)
[62:26:38 -358548.226904] AUTODETECT spr round 2 (radius: 10)
[62:28:27 -292191.653886] AUTODETECT spr round 3 (radius: 15)
[62:30:23 -252390.288241] AUTODETECT spr round 4 (radius: 20)
[62:32:36 -240000.754913] AUTODETECT spr round 5 (radius: 25)
[62:34:52 -230041.610751] SPR radius for FAST iterations: 25 (autodetect)
[62:34:52 -230041.610751] Model parameter optimization (eps = 3.000000)
[62:35:11 -229947.180434] FAST spr round 1 (radius: 25)
[62:37:28 -190286.366709] FAST spr round 2 (radius: 25)
[62:39:21 -188740.979924] FAST spr round 3 (radius: 25)
[62:41:05 -188675.468838] FAST spr round 4 (radius: 25)
[62:42:38 -188669.968603] FAST spr round 5 (radius: 25)
[62:44:09 -188664.044150] FAST spr round 6 (radius: 25)
[62:45:37 -188664.042789] Model parameter optimization (eps = 1.000000)
[62:45:46 -188662.787687] SLOW spr round 1 (radius: 5)
[62:47:43 -188621.306988] SLOW spr round 2 (radius: 5)
[62:49:29 -188616.642077] SLOW spr round 3 (radius: 5)
[62:51:12 -188616.641627] SLOW spr round 4 (radius: 10)
[62:52:59 -188613.040948] SLOW spr round 5 (radius: 5)
[62:55:08 -188609.131464] SLOW spr round 6 (radius: 5)
[62:57:03 -188609.108214] SLOW spr round 7 (radius: 10)
[62:58:55 -188602.707274] SLOW spr round 8 (radius: 5)
[63:01:03 -188601.049589] SLOW spr round 9 (radius: 5)
[63:02:53 -188601.048949] SLOW spr round 10 (radius: 10)
[63:04:41 -188601.048422] SLOW spr round 11 (radius: 15)
[63:07:33 -188597.512635] SLOW spr round 12 (radius: 5)
[63:09:48 -188591.220253] SLOW spr round 13 (radius: 5)
[63:11:44 -188591.149219] SLOW spr round 14 (radius: 10)
[63:13:37 -188591.148050] SLOW spr round 15 (radius: 15)
[63:16:28 -188591.000223] SLOW spr round 16 (radius: 5)
[63:18:38 -188590.993519] SLOW spr round 17 (radius: 10)
[63:20:41 -188590.992230] SLOW spr round 18 (radius: 15)
[63:23:26 -188590.991944] SLOW spr round 19 (radius: 20)
[63:27:29 -188590.991849] SLOW spr round 20 (radius: 25)
[63:32:29 -188590.991796] Model parameter optimization (eps = 0.100000)

[63:32:39] ML tree search #20, logLikelihood: -188590.642949


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.144536,0.241944) (0.166155,0.356108) (0.387147,0.768125) (0.302163,2.013764) 
   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: -188543.402626

AIC score: 380788.805252 / AICc score: 7236892.805252 / BIC score: 388349.213666
Free parameters (model + branch lengths): 1851

WARNING: Number of free parameters (K=1851) is larger than alignment size (n=439).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 1 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8WUQ7/3_mltree/Q8WUQ7.raxml.log

Analysis started: 09-Jul-2021 03:21:37 / finished: 11-Jul-2021 18:54:16

Elapsed time: 228759.524 seconds