RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 13-Jul-2021 20:29:40 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/2_msa/Q6P3V2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/2_msa/Q6P3V2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 880 sites

WARNING: Sequences tr_M3Y279_M3Y279_MUSPF_9669 and tr_A0A2U3XJ70_A0A2U3XJ70_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_M3Y279_M3Y279_MUSPF_9669 and tr_A0A2Y9L647_A0A2Y9L647_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3Y279_M3Y279_MUSPF_9669 and tr_A0A384DRI4_A0A384DRI4_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_K7EU23_K7EU23_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_F6ZAL5_F6ZAL5_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5NSA5_A0A2K5NSA5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5YEE6_A0A2K5YEE6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3SSM4_A0A2I3SSM4_PANTR_9598 and tr_A0A2R9B6G9_A0A2R9B6G9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3T1I2_A0A2I3T1I2_PANTR_9598 and tr_A0A2R9C8X5_A0A2R9C8X5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q781_H2Q781_PANTR_9598 and sp_P51523_ZNF84_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QG67_H2QG67_PANTR_9598 and tr_G7PXE1_G7PXE1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_W5P5W2_W5P5W2_SHEEP_9940 and sp_A2VDQ7_ZN420_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A1D5QC17_A0A1D5QC17_MACMU_9544 and tr_A0A2K6BUH3_A0A2K6BUH3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7PJI5_G7PJI5_MACFA_9541 and tr_A0A2K6C5V9_A0A2K6C5V9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G8F2T8_G8F2T8_MACFA_9541 and tr_A0A096NDF2_A0A096NDF2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G8F2T8_G8F2T8_MACFA_9541 and tr_A0A2K5L4M7_A0A2K5L4M7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G8F2T8_G8F2T8_MACFA_9541 and tr_A0A2K5ZXT3_A0A2K5ZXT3_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 17

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.reduced.phy

Alignment comprises 1 partitions and 880 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 880 / 880
Gaps: 16.23 %
Invariant sites: 0.34 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 9 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 98 / 7840
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1175363.599364] Initial branch length optimization
[00:00:03 -1052367.288357] Model parameter optimization (eps = 10.000000)
[00:00:31 -1049272.400190] AUTODETECT spr round 1 (radius: 5)
[00:02:40 -866833.391474] AUTODETECT spr round 2 (radius: 10)
[00:04:53 -677188.464783] AUTODETECT spr round 3 (radius: 15)
[00:07:32 -593894.533376] AUTODETECT spr round 4 (radius: 20)
[00:11:03 -564322.806735] AUTODETECT spr round 5 (radius: 25)
[00:14:24 -559854.879920] SPR radius for FAST iterations: 25 (autodetect)
[00:14:24 -559854.879920] Model parameter optimization (eps = 3.000000)
[00:14:43 -559517.936808] FAST spr round 1 (radius: 25)
[00:18:28 -518846.368528] FAST spr round 2 (radius: 25)
[00:21:20 -516450.631842] FAST spr round 3 (radius: 25)
[00:23:44 -516247.829036] FAST spr round 4 (radius: 25)
[00:25:59 -516009.443342] FAST spr round 5 (radius: 25)
[00:27:59 -515995.543457] FAST spr round 6 (radius: 25)
[00:29:46 -515995.543406] Model parameter optimization (eps = 1.000000)
[00:30:00 -515930.504505] SLOW spr round 1 (radius: 5)
[00:32:33 -515789.261361] SLOW spr round 2 (radius: 5)
[00:34:58 -515762.574988] SLOW spr round 3 (radius: 5)
[00:37:12 -515762.511055] SLOW spr round 4 (radius: 10)
[00:39:34 -515760.942735] SLOW spr round 5 (radius: 5)
[00:42:11 -515751.467595] SLOW spr round 6 (radius: 5)
[00:44:35 -515747.626542] SLOW spr round 7 (radius: 5)
[00:46:53 -515747.626344] SLOW spr round 8 (radius: 10)
[00:49:13 -515746.721661] SLOW spr round 9 (radius: 5)
[00:51:49 -515746.721571] SLOW spr round 10 (radius: 10)
[00:54:26 -515746.721570] SLOW spr round 11 (radius: 15)
[00:58:32 -515744.213610] SLOW spr round 12 (radius: 5)
[01:01:13 -515744.213383] SLOW spr round 13 (radius: 10)
[01:03:58 -515743.805732] SLOW spr round 14 (radius: 5)
[01:06:35 -515742.229212] SLOW spr round 15 (radius: 5)
[01:08:57 -515742.229192] SLOW spr round 16 (radius: 10)
[01:11:20 -515742.229192] SLOW spr round 17 (radius: 15)
[01:15:35 -515742.229191] SLOW spr round 18 (radius: 20)
[01:22:45 -515742.229191] SLOW spr round 19 (radius: 25)
[01:31:34 -515742.229191] Model parameter optimization (eps = 0.100000)

[01:31:42] ML tree search #1, logLikelihood: -515741.693549

[01:31:42 -1180631.942867] Initial branch length optimization
[01:31:44 -1053427.770340] Model parameter optimization (eps = 10.000000)
[01:32:12 -1050337.683683] AUTODETECT spr round 1 (radius: 5)
[01:34:30 -882441.735441] AUTODETECT spr round 2 (radius: 10)
[01:36:51 -699088.124256] AUTODETECT spr round 3 (radius: 15)
[01:39:30 -612288.914146] AUTODETECT spr round 4 (radius: 20)
[01:43:21 -583598.023810] AUTODETECT spr round 5 (radius: 25)
[01:46:22 -574949.539801] SPR radius for FAST iterations: 25 (autodetect)
[01:46:22 -574949.539801] Model parameter optimization (eps = 3.000000)
[01:46:43 -574466.960581] FAST spr round 1 (radius: 25)
[01:50:25 -522341.604263] FAST spr round 2 (radius: 25)
[01:53:11 -516295.459322] FAST spr round 3 (radius: 25)
[01:55:24 -516084.507936] FAST spr round 4 (radius: 25)
[01:57:25 -516034.548223] FAST spr round 5 (radius: 25)
[01:59:19 -515991.717172] FAST spr round 6 (radius: 25)
[02:01:05 -515991.717067] Model parameter optimization (eps = 1.000000)
[02:01:20 -515923.899930] SLOW spr round 1 (radius: 5)
[02:03:55 -515759.802521] SLOW spr round 2 (radius: 5)
[02:06:19 -515739.035705] SLOW spr round 3 (radius: 5)
[02:08:34 -515733.973569] SLOW spr round 4 (radius: 5)
[02:10:46 -515733.973461] SLOW spr round 5 (radius: 10)
[02:13:07 -515711.498848] SLOW spr round 6 (radius: 5)
[02:15:47 -515698.342507] SLOW spr round 7 (radius: 5)
[02:18:01 -515698.201005] SLOW spr round 8 (radius: 5)
[02:20:10 -515698.200996] SLOW spr round 9 (radius: 10)
[02:22:22 -515691.624284] SLOW spr round 10 (radius: 5)
[02:24:47 -515691.403871] SLOW spr round 11 (radius: 5)
[02:27:05 -515691.403720] SLOW spr round 12 (radius: 10)
[02:29:26 -515691.403719] SLOW spr round 13 (radius: 15)
[02:33:30 -515691.403719] SLOW spr round 14 (radius: 20)
[02:40:19 -515691.403719] SLOW spr round 15 (radius: 25)
[02:49:22 -515691.403718] Model parameter optimization (eps = 0.100000)

[02:49:34] ML tree search #2, logLikelihood: -515691.195515

[02:49:34 -1175600.327546] Initial branch length optimization
[02:49:36 -1050485.006289] Model parameter optimization (eps = 10.000000)
[02:50:05 -1047328.572838] AUTODETECT spr round 1 (radius: 5)
[02:52:12 -857131.572041] AUTODETECT spr round 2 (radius: 10)
[02:54:29 -666059.035024] AUTODETECT spr round 3 (radius: 15)
[02:57:01 -585973.878836] AUTODETECT spr round 4 (radius: 20)
[03:00:02 -563197.511771] AUTODETECT spr round 5 (radius: 25)
[03:03:09 -557605.331035] SPR radius for FAST iterations: 25 (autodetect)
[03:03:09 -557605.331035] Model parameter optimization (eps = 3.000000)
[03:03:29 -557293.236554] FAST spr round 1 (radius: 25)
[03:07:04 -519134.035074] FAST spr round 2 (radius: 25)
[03:09:46 -516284.190121] FAST spr round 3 (radius: 25)
[03:12:06 -516049.924742] FAST spr round 4 (radius: 25)
[03:14:07 -516032.766255] FAST spr round 5 (radius: 25)
[03:15:58 -516032.766134] Model parameter optimization (eps = 1.000000)
[03:16:14 -515996.973644] SLOW spr round 1 (radius: 5)
[03:18:47 -515870.204212] SLOW spr round 2 (radius: 5)
[03:21:09 -515840.607740] SLOW spr round 3 (radius: 5)
[03:23:26 -515840.059021] SLOW spr round 4 (radius: 5)
[03:25:41 -515840.058981] SLOW spr round 5 (radius: 10)
[03:27:59 -515840.058981] SLOW spr round 6 (radius: 15)
[03:32:18 -515819.964695] SLOW spr round 7 (radius: 5)
[03:35:05 -515782.493593] SLOW spr round 8 (radius: 5)
[03:37:36 -515775.210584] SLOW spr round 9 (radius: 5)
[03:39:50 -515775.095437] SLOW spr round 10 (radius: 5)
[03:42:02 -515775.095278] SLOW spr round 11 (radius: 10)
[03:44:24 -515775.095277] SLOW spr round 12 (radius: 15)
[03:48:54 -515775.095277] SLOW spr round 13 (radius: 20)
[03:55:57 -515775.095277] SLOW spr round 14 (radius: 25)
[04:05:09 -515775.095276] Model parameter optimization (eps = 0.100000)

[04:05:18] ML tree search #3, logLikelihood: -515774.962875

[04:05:19 -1177409.470929] Initial branch length optimization
[04:05:22 -1052121.052003] Model parameter optimization (eps = 10.000000)
[04:06:02 -1049021.305942] AUTODETECT spr round 1 (radius: 5)
[04:08:23 -869125.680415] AUTODETECT spr round 2 (radius: 10)
[04:10:37 -674789.256001] AUTODETECT spr round 3 (radius: 15)
[04:13:07 -602789.576423] AUTODETECT spr round 4 (radius: 20)
[04:17:11 -578933.293348] AUTODETECT spr round 5 (radius: 25)
[04:20:30 -566936.867063] SPR radius for FAST iterations: 25 (autodetect)
[04:20:30 -566936.867063] Model parameter optimization (eps = 3.000000)
[04:20:49 -566715.774993] FAST spr round 1 (radius: 25)
[04:24:26 -519741.059089] FAST spr round 2 (radius: 25)
[04:27:19 -516439.678578] FAST spr round 3 (radius: 25)
[04:29:45 -516108.038011] FAST spr round 4 (radius: 25)
[04:31:47 -516076.692233] FAST spr round 5 (radius: 25)
[04:33:40 -516061.575368] FAST spr round 6 (radius: 25)
[04:35:27 -516056.948941] FAST spr round 7 (radius: 25)
[04:37:11 -516053.102491] FAST spr round 8 (radius: 25)
[04:38:53 -516053.102435] Model parameter optimization (eps = 1.000000)
[04:39:08 -515984.796769] SLOW spr round 1 (radius: 5)
[04:41:44 -515837.599399] SLOW spr round 2 (radius: 5)
[04:44:08 -515812.312360] SLOW spr round 3 (radius: 5)
[04:46:25 -515809.741839] SLOW spr round 4 (radius: 5)
[04:48:38 -515809.741761] SLOW spr round 5 (radius: 10)
[04:50:59 -515801.838348] SLOW spr round 6 (radius: 5)
[04:53:37 -515801.769512] SLOW spr round 7 (radius: 10)
[04:56:17 -515801.769421] SLOW spr round 8 (radius: 15)
[05:00:32 -515799.288121] SLOW spr round 9 (radius: 5)
[05:03:14 -515799.287989] SLOW spr round 10 (radius: 10)
[05:06:04 -515799.287988] SLOW spr round 11 (radius: 15)
[05:10:14 -515799.287988] SLOW spr round 12 (radius: 20)
[05:17:45 -515799.287987] SLOW spr round 13 (radius: 25)
[05:27:10 -515799.287987] Model parameter optimization (eps = 0.100000)

[05:27:14] ML tree search #4, logLikelihood: -515799.262049

[05:27:14 -1175728.396452] Initial branch length optimization
[05:27:18 -1051205.702440] Model parameter optimization (eps = 10.000000)
[05:27:45 -1048132.789077] AUTODETECT spr round 1 (radius: 5)
[05:29:56 -870251.519377] AUTODETECT spr round 2 (radius: 10)
[05:32:10 -680607.146486] AUTODETECT spr round 3 (radius: 15)
[05:34:46 -596176.706119] AUTODETECT spr round 4 (radius: 20)
[05:37:54 -571407.997129] AUTODETECT spr round 5 (radius: 25)
[05:41:19 -567879.773441] SPR radius for FAST iterations: 25 (autodetect)
[05:41:19 -567879.773441] Model parameter optimization (eps = 3.000000)
[05:41:36 -567586.459280] FAST spr round 1 (radius: 25)
[05:45:42 -523777.508577] FAST spr round 2 (radius: 25)
[05:48:40 -516691.271393] FAST spr round 3 (radius: 25)
[05:51:06 -516141.831085] FAST spr round 4 (radius: 25)
[05:53:11 -516095.018242] FAST spr round 5 (radius: 25)
[05:55:04 -516065.697778] FAST spr round 6 (radius: 25)
[05:56:52 -516065.697622] Model parameter optimization (eps = 1.000000)
[05:57:06 -516017.435684] SLOW spr round 1 (radius: 5)
[05:59:41 -515905.257256] SLOW spr round 2 (radius: 5)
[06:02:03 -515889.186848] SLOW spr round 3 (radius: 5)
[06:04:18 -515884.020499] SLOW spr round 4 (radius: 5)
[06:06:29 -515883.992377] SLOW spr round 5 (radius: 10)
[06:08:49 -515835.620362] SLOW spr round 6 (radius: 5)
[06:11:29 -515825.631518] SLOW spr round 7 (radius: 5)
[06:13:52 -515817.186446] SLOW spr round 8 (radius: 5)
[06:16:07 -515817.186440] SLOW spr round 9 (radius: 10)
[06:18:27 -515817.186440] SLOW spr round 10 (radius: 15)
[06:22:36 -515816.818105] SLOW spr round 11 (radius: 5)
[06:25:14 -515815.835631] SLOW spr round 12 (radius: 5)
[06:27:36 -515815.835604] SLOW spr round 13 (radius: 10)
[06:30:01 -515815.835604] SLOW spr round 14 (radius: 15)
[06:34:03 -515815.835604] SLOW spr round 15 (radius: 20)
[06:40:26 -515815.835603] SLOW spr round 16 (radius: 25)
[06:48:37 -515815.835603] Model parameter optimization (eps = 0.100000)

[06:48:43] ML tree search #5, logLikelihood: -515815.741619

[06:48:44 -1180288.273693] Initial branch length optimization
[06:48:46 -1054390.392919] Model parameter optimization (eps = 10.000000)
[06:49:12 -1051173.678922] AUTODETECT spr round 1 (radius: 5)
[06:51:23 -862191.352209] AUTODETECT spr round 2 (radius: 10)
[06:53:39 -687768.404314] AUTODETECT spr round 3 (radius: 15)
[06:56:10 -598715.505584] AUTODETECT spr round 4 (radius: 20)
[06:59:47 -571603.546594] AUTODETECT spr round 5 (radius: 25)
[07:03:13 -565979.102788] SPR radius for FAST iterations: 25 (autodetect)
[07:03:13 -565979.102788] Model parameter optimization (eps = 3.000000)
[07:03:30 -565663.133646] FAST spr round 1 (radius: 25)
[07:07:26 -519024.045974] FAST spr round 2 (radius: 25)
[07:10:15 -517037.774028] FAST spr round 3 (radius: 25)
[07:12:44 -516688.564207] FAST spr round 4 (radius: 25)
[07:14:56 -516231.664975] FAST spr round 5 (radius: 25)
[07:16:51 -516189.778917] FAST spr round 6 (radius: 25)
[07:18:38 -516189.778904] Model parameter optimization (eps = 1.000000)
[07:18:52 -516145.020592] SLOW spr round 1 (radius: 5)
[07:21:25 -515953.769912] SLOW spr round 2 (radius: 5)
[07:23:53 -515920.514331] SLOW spr round 3 (radius: 5)
[07:26:14 -515906.342373] SLOW spr round 4 (radius: 5)
[07:28:30 -515895.666973] SLOW spr round 5 (radius: 5)
[07:30:42 -515895.666727] SLOW spr round 6 (radius: 10)
[07:33:02 -515887.835925] SLOW spr round 7 (radius: 5)
[07:35:46 -515872.240014] SLOW spr round 8 (radius: 5)
[07:38:07 -515865.449220] SLOW spr round 9 (radius: 5)
[07:40:22 -515865.449188] SLOW spr round 10 (radius: 10)
[07:42:38 -515865.449188] SLOW spr round 11 (radius: 15)
[07:46:38 -515844.880264] SLOW spr round 12 (radius: 5)
[07:49:13 -515841.320588] SLOW spr round 13 (radius: 5)
[07:51:38 -515841.320409] SLOW spr round 14 (radius: 10)
[07:54:02 -515841.320408] SLOW spr round 15 (radius: 15)
[07:58:02 -515841.320407] SLOW spr round 16 (radius: 20)
[08:04:48 -515841.320407] SLOW spr round 17 (radius: 25)
[08:13:44 -515813.901225] SLOW spr round 18 (radius: 5)
[08:16:25 -515813.901112] SLOW spr round 19 (radius: 10)
[08:19:17 -515813.901111] SLOW spr round 20 (radius: 15)
[08:23:03 -515813.901111] SLOW spr round 21 (radius: 20)
[08:29:59 -515813.901110] SLOW spr round 22 (radius: 25)
[08:38:50 -515813.901110] Model parameter optimization (eps = 0.100000)

[08:39:04] ML tree search #6, logLikelihood: -515813.172816

[08:39:04 -1180641.909204] Initial branch length optimization
[08:39:06 -1054550.898447] Model parameter optimization (eps = 10.000000)
[08:39:44 -1051399.409327] AUTODETECT spr round 1 (radius: 5)
[08:41:54 -869820.030438] AUTODETECT spr round 2 (radius: 10)
[08:44:10 -678583.585179] AUTODETECT spr round 3 (radius: 15)
[08:46:44 -596729.667258] AUTODETECT spr round 4 (radius: 20)
[08:50:03 -575769.315025] AUTODETECT spr round 5 (radius: 25)
[08:53:15 -563666.715889] SPR radius for FAST iterations: 25 (autodetect)
[08:53:15 -563666.715889] Model parameter optimization (eps = 3.000000)
[08:53:37 -563331.131785] FAST spr round 1 (radius: 25)
[08:57:05 -524977.535803] FAST spr round 2 (radius: 25)
[09:00:02 -517860.826920] FAST spr round 3 (radius: 25)
[09:02:21 -516181.760945] FAST spr round 4 (radius: 25)
[09:04:29 -516048.059549] FAST spr round 5 (radius: 25)
[09:06:23 -516035.172710] FAST spr round 6 (radius: 25)
[09:08:10 -516035.172660] Model parameter optimization (eps = 1.000000)
[09:08:27 -515981.507360] SLOW spr round 1 (radius: 5)
[09:11:06 -515821.178692] SLOW spr round 2 (radius: 5)
[09:13:29 -515803.338484] SLOW spr round 3 (radius: 5)
[09:15:48 -515801.377124] SLOW spr round 4 (radius: 5)
[09:18:02 -515801.377003] SLOW spr round 5 (radius: 10)
[09:20:22 -515792.507704] SLOW spr round 6 (radius: 5)
[09:22:58 -515772.678961] SLOW spr round 7 (radius: 5)
[09:25:20 -515765.640852] SLOW spr round 8 (radius: 5)
[09:27:30 -515765.640831] SLOW spr round 9 (radius: 10)
[09:29:43 -515765.640830] SLOW spr round 10 (radius: 15)
[09:33:57 -515762.787338] SLOW spr round 11 (radius: 5)
[09:36:38 -515762.787273] SLOW spr round 12 (radius: 10)
[09:39:23 -515762.212783] SLOW spr round 13 (radius: 5)
[09:42:01 -515760.510082] SLOW spr round 14 (radius: 5)
[09:44:24 -515760.510034] SLOW spr round 15 (radius: 10)
[09:46:48 -515760.510033] SLOW spr round 16 (radius: 15)
[09:51:07 -515760.510032] SLOW spr round 17 (radius: 20)
[09:57:48 -515760.510031] SLOW spr round 18 (radius: 25)
[10:06:26 -515760.038200] SLOW spr round 19 (radius: 5)
[10:09:13 -515757.860651] SLOW spr round 20 (radius: 5)
[10:11:40 -515757.860026] SLOW spr round 21 (radius: 10)
[10:14:08 -515757.471635] SLOW spr round 22 (radius: 5)
[10:16:43 -515757.471521] SLOW spr round 23 (radius: 10)
[10:19:19 -515757.471520] SLOW spr round 24 (radius: 15)
[10:23:25 -515757.471519] SLOW spr round 25 (radius: 20)
[10:30:17 -515757.471518] SLOW spr round 26 (radius: 25)
[10:38:53 -515757.471518] Model parameter optimization (eps = 0.100000)

[10:39:01] ML tree search #7, logLikelihood: -515757.193694

[10:39:01 -1171689.929053] Initial branch length optimization
[10:39:04 -1046843.161267] Model parameter optimization (eps = 10.000000)
[10:39:43 -1043656.767924] AUTODETECT spr round 1 (radius: 5)
[10:41:51 -872365.355146] AUTODETECT spr round 2 (radius: 10)
[10:44:06 -681253.994552] AUTODETECT spr round 3 (radius: 15)
[10:46:40 -599766.154061] AUTODETECT spr round 4 (radius: 20)
[10:50:54 -574041.910281] AUTODETECT spr round 5 (radius: 25)
[10:54:35 -566226.545114] SPR radius for FAST iterations: 25 (autodetect)
[10:54:35 -566226.545114] Model parameter optimization (eps = 3.000000)
[10:54:54 -565891.388142] FAST spr round 1 (radius: 25)
[10:58:39 -519418.891174] FAST spr round 2 (radius: 25)
[11:01:35 -516450.985250] FAST spr round 3 (radius: 25)
[11:03:57 -516162.779334] FAST spr round 4 (radius: 25)
[11:06:05 -516116.579806] FAST spr round 5 (radius: 25)
[11:08:00 -516101.413796] FAST spr round 6 (radius: 25)
[11:09:48 -516099.837991] FAST spr round 7 (radius: 25)
[11:11:31 -516099.837966] Model parameter optimization (eps = 1.000000)
[11:11:49 -516042.045134] SLOW spr round 1 (radius: 5)
[11:14:21 -515905.644160] SLOW spr round 2 (radius: 5)
[11:16:44 -515884.055616] SLOW spr round 3 (radius: 5)
[11:18:59 -515882.231663] SLOW spr round 4 (radius: 5)
[11:21:12 -515882.231575] SLOW spr round 5 (radius: 10)
[11:23:35 -515839.327580] SLOW spr round 6 (radius: 5)
[11:26:18 -515801.457518] SLOW spr round 7 (radius: 5)
[11:28:46 -515781.634990] SLOW spr round 8 (radius: 5)
[11:31:00 -515781.634726] SLOW spr round 9 (radius: 10)
[11:33:23 -515781.198391] SLOW spr round 10 (radius: 5)
[11:36:00 -515766.987261] SLOW spr round 11 (radius: 5)
[11:38:23 -515766.359801] SLOW spr round 12 (radius: 5)
[11:40:40 -515766.359790] SLOW spr round 13 (radius: 10)
[11:43:00 -515766.109089] SLOW spr round 14 (radius: 5)
[11:45:38 -515747.197859] SLOW spr round 15 (radius: 5)
[11:48:01 -515747.197671] SLOW spr round 16 (radius: 10)
[11:50:23 -515747.197670] SLOW spr round 17 (radius: 15)
[11:54:52 -515747.197669] SLOW spr round 18 (radius: 20)
[12:01:58 -515747.197669] SLOW spr round 19 (radius: 25)
[12:11:17 -515747.197669] Model parameter optimization (eps = 0.100000)

[12:11:29] ML tree search #8, logLikelihood: -515746.620192

[12:11:30 -1180018.849784] Initial branch length optimization
[12:11:32 -1054664.301850] Model parameter optimization (eps = 10.000000)
[12:11:59 -1051626.648958] AUTODETECT spr round 1 (radius: 5)
[12:14:18 -882250.815089] AUTODETECT spr round 2 (radius: 10)
[12:16:40 -687428.192250] AUTODETECT spr round 3 (radius: 15)
[12:19:33 -588161.411772] AUTODETECT spr round 4 (radius: 20)
[12:22:25 -565712.175404] AUTODETECT spr round 5 (radius: 25)
[12:25:25 -564044.908849] SPR radius for FAST iterations: 25 (autodetect)
[12:25:25 -564044.908849] Model parameter optimization (eps = 3.000000)
[12:25:48 -563847.865802] FAST spr round 1 (radius: 25)
[12:29:29 -518954.943942] FAST spr round 2 (radius: 25)
[12:32:19 -516775.007446] FAST spr round 3 (radius: 25)
[12:34:45 -516572.085705] FAST spr round 4 (radius: 25)
[12:36:51 -516544.561323] FAST spr round 5 (radius: 25)
[12:38:42 -516543.969233] FAST spr round 6 (radius: 25)
[12:40:29 -516543.969233] Model parameter optimization (eps = 1.000000)
[12:40:44 -516505.104188] SLOW spr round 1 (radius: 5)
[12:43:21 -516328.367331] SLOW spr round 2 (radius: 5)
[12:45:49 -516274.358722] SLOW spr round 3 (radius: 5)
[12:48:08 -516268.901963] SLOW spr round 4 (radius: 5)
[12:50:18 -516268.901546] SLOW spr round 5 (radius: 10)
[12:52:38 -516263.291918] SLOW spr round 6 (radius: 5)
[12:55:14 -516252.101445] SLOW spr round 7 (radius: 5)
[12:57:35 -516250.971880] SLOW spr round 8 (radius: 5)
[12:59:51 -516250.971727] SLOW spr round 9 (radius: 10)
[13:02:11 -516247.791360] SLOW spr round 10 (radius: 5)
[13:04:48 -516227.417525] SLOW spr round 11 (radius: 5)
[13:07:12 -516213.140676] SLOW spr round 12 (radius: 5)
[13:09:27 -516212.414963] SLOW spr round 13 (radius: 5)
[13:11:40 -516212.414927] SLOW spr round 14 (radius: 10)
[13:14:00 -516198.172472] SLOW spr round 15 (radius: 5)
[13:16:33 -516196.101555] SLOW spr round 16 (radius: 5)
[13:18:55 -516196.101462] SLOW spr round 17 (radius: 10)
[13:21:17 -516196.101461] SLOW spr round 18 (radius: 15)
[13:25:23 -516196.021198] SLOW spr round 19 (radius: 20)
[13:32:14 -516005.760930] SLOW spr round 20 (radius: 5)
[13:35:00 -515920.256760] SLOW spr round 21 (radius: 5)
[13:37:37 -515842.418795] SLOW spr round 22 (radius: 5)
[13:39:54 -515842.255364] SLOW spr round 23 (radius: 5)
[13:42:07 -515842.255323] SLOW spr round 24 (radius: 10)
[13:44:26 -515842.255323] SLOW spr round 25 (radius: 15)
[13:48:40 -515841.809408] SLOW spr round 26 (radius: 5)
[13:51:17 -515841.809386] SLOW spr round 27 (radius: 10)
[13:53:57 -515841.809385] SLOW spr round 28 (radius: 15)
[13:57:46 -515841.809385] SLOW spr round 29 (radius: 20)
[14:04:42 -515841.809385] SLOW spr round 30 (radius: 25)
[14:13:38 -515841.379876] SLOW spr round 31 (radius: 5)
[14:16:15 -515841.379834] SLOW spr round 32 (radius: 10)
[14:19:00 -515841.379834] SLOW spr round 33 (radius: 15)
[14:22:45 -515841.379834] SLOW spr round 34 (radius: 20)
[14:29:39 -515841.379833] SLOW spr round 35 (radius: 25)
[14:38:42 -515841.379833] Model parameter optimization (eps = 0.100000)

[14:38:50] ML tree search #9, logLikelihood: -515840.883616

[14:38:50 -1181909.060724] Initial branch length optimization
[14:38:53 -1055354.769737] Model parameter optimization (eps = 10.000000)
[14:39:21 -1052231.800108] AUTODETECT spr round 1 (radius: 5)
[14:41:41 -872802.407788] AUTODETECT spr round 2 (radius: 10)
[14:43:57 -678610.149819] AUTODETECT spr round 3 (radius: 15)
[14:46:34 -587192.982689] AUTODETECT spr round 4 (radius: 20)
[14:50:03 -564412.094552] AUTODETECT spr round 5 (radius: 25)
[14:53:18 -559917.517135] SPR radius for FAST iterations: 25 (autodetect)
[14:53:18 -559917.517135] Model parameter optimization (eps = 3.000000)
[14:53:39 -559665.440436] FAST spr round 1 (radius: 25)
[14:57:22 -519602.102617] FAST spr round 2 (radius: 25)
[15:00:18 -516462.090548] FAST spr round 3 (radius: 25)
[15:02:43 -516161.844494] FAST spr round 4 (radius: 25)
[15:04:48 -516131.815656] FAST spr round 5 (radius: 25)
[15:06:41 -516121.186114] FAST spr round 6 (radius: 25)
[15:08:23 -516117.356154] FAST spr round 7 (radius: 25)
[15:10:02 -516117.356138] Model parameter optimization (eps = 1.000000)
[15:10:18 -516069.732442] SLOW spr round 1 (radius: 5)
[15:12:41 -515915.937664] SLOW spr round 2 (radius: 5)
[15:15:03 -515901.911517] SLOW spr round 3 (radius: 5)
[15:17:20 -515893.608538] SLOW spr round 4 (radius: 5)
[15:19:33 -515893.608305] SLOW spr round 5 (radius: 10)
[15:21:57 -515877.396423] SLOW spr round 6 (radius: 5)
[15:24:38 -515873.180409] SLOW spr round 7 (radius: 5)
[15:26:59 -515872.397496] SLOW spr round 8 (radius: 5)
[15:29:16 -515872.397365] SLOW spr round 9 (radius: 10)
[15:31:37 -515872.374945] SLOW spr round 10 (radius: 15)
[15:36:01 -515872.374915] SLOW spr round 11 (radius: 20)
[15:43:17 -515872.374914] SLOW spr round 12 (radius: 25)
[15:52:54 -515872.374913] Model parameter optimization (eps = 0.100000)

[15:53:10] ML tree search #10, logLikelihood: -515871.545170

[15:53:10 -1177537.356792] Initial branch length optimization
[15:53:12 -1053588.962527] Model parameter optimization (eps = 10.000000)
[15:53:40 -1050374.392029] AUTODETECT spr round 1 (radius: 5)
[15:55:56 -863185.826522] AUTODETECT spr round 2 (radius: 10)
[15:58:06 -673071.527427] AUTODETECT spr round 3 (radius: 15)
[16:00:43 -607173.363894] AUTODETECT spr round 4 (radius: 20)
[16:04:21 -574541.932701] AUTODETECT spr round 5 (radius: 25)
[16:07:35 -563156.455644] SPR radius for FAST iterations: 25 (autodetect)
[16:07:35 -563156.455644] Model parameter optimization (eps = 3.000000)
[16:07:53 -562965.487872] FAST spr round 1 (radius: 25)
[16:11:39 -519042.740720] FAST spr round 2 (radius: 25)
[16:14:30 -516362.836132] FAST spr round 3 (radius: 25)
[16:16:54 -516131.897182] FAST spr round 4 (radius: 25)
[16:19:08 -516090.704817] FAST spr round 5 (radius: 25)
[16:21:03 -516065.419270] FAST spr round 6 (radius: 25)
[16:22:51 -516061.631768] FAST spr round 7 (radius: 25)
[16:24:36 -516058.104424] FAST spr round 8 (radius: 25)
[16:26:19 -516052.127304] FAST spr round 9 (radius: 25)
[16:28:03 -516046.216145] FAST spr round 10 (radius: 25)
[16:29:43 -516046.216090] Model parameter optimization (eps = 1.000000)
[16:30:00 -515976.294201] SLOW spr round 1 (radius: 5)
[16:32:29 -515841.115619] SLOW spr round 2 (radius: 5)
[16:34:49 -515826.589995] SLOW spr round 3 (radius: 5)
[16:37:04 -515820.800012] SLOW spr round 4 (radius: 5)
[16:39:18 -515820.799971] SLOW spr round 5 (radius: 10)
[16:41:38 -515802.144719] SLOW spr round 6 (radius: 5)
[16:44:17 -515796.578789] SLOW spr round 7 (radius: 5)
[16:46:41 -515787.631154] SLOW spr round 8 (radius: 5)
[16:48:59 -515777.780188] SLOW spr round 9 (radius: 5)
[16:51:14 -515777.780135] SLOW spr round 10 (radius: 10)
[16:53:32 -515777.780134] SLOW spr round 11 (radius: 15)
[16:57:56 -515777.780133] SLOW spr round 12 (radius: 20)
[17:05:07 -515777.780132] SLOW spr round 13 (radius: 25)
[17:14:21 -515777.780131] Model parameter optimization (eps = 0.100000)

[17:14:26] ML tree search #11, logLikelihood: -515777.758484

[17:14:26 -1174946.549977] Initial branch length optimization
[17:14:29 -1050415.776409] Model parameter optimization (eps = 10.000000)
[17:15:18 -1047318.156415] AUTODETECT spr round 1 (radius: 5)
[17:17:20 -884085.251231] AUTODETECT spr round 2 (radius: 10)
[17:19:32 -691052.882666] AUTODETECT spr round 3 (radius: 15)
[17:22:07 -606726.796420] AUTODETECT spr round 4 (radius: 20)
[17:26:19 -581291.050251] AUTODETECT spr round 5 (radius: 25)
[17:29:45 -570340.587196] SPR radius for FAST iterations: 25 (autodetect)
[17:29:45 -570340.587196] Model parameter optimization (eps = 3.000000)
[17:30:08 -569942.294828] FAST spr round 1 (radius: 25)
[17:33:51 -519029.333264] FAST spr round 2 (radius: 25)
[17:36:45 -516540.736003] FAST spr round 3 (radius: 25)
[17:39:05 -516121.297792] FAST spr round 4 (radius: 25)
[17:41:09 -516083.592632] FAST spr round 5 (radius: 25)
[17:43:00 -516081.770906] FAST spr round 6 (radius: 25)
[17:44:49 -516081.770767] Model parameter optimization (eps = 1.000000)
[17:45:02 -516052.567307] SLOW spr round 1 (radius: 5)
[17:47:34 -515816.534098] SLOW spr round 2 (radius: 5)
[17:50:00 -515804.815911] SLOW spr round 3 (radius: 5)
[17:52:18 -515804.671674] SLOW spr round 4 (radius: 5)
[17:54:34 -515804.671611] SLOW spr round 5 (radius: 10)
[17:56:57 -515804.671610] SLOW spr round 6 (radius: 15)
[18:01:21 -515804.671609] SLOW spr round 7 (radius: 20)
[18:07:51 -515804.671608] SLOW spr round 8 (radius: 25)
[18:16:26 -515804.671607] Model parameter optimization (eps = 0.100000)

[18:16:31] ML tree search #12, logLikelihood: -515804.634007

[18:16:31 -1175906.624686] Initial branch length optimization
[18:16:33 -1051636.655984] Model parameter optimization (eps = 10.000000)
[18:17:18 -1048507.613181] AUTODETECT spr round 1 (radius: 5)
[18:19:26 -854434.674501] AUTODETECT spr round 2 (radius: 10)
[18:21:43 -664343.518094] AUTODETECT spr round 3 (radius: 15)
[18:24:12 -591269.262568] AUTODETECT spr round 4 (radius: 20)
[18:27:28 -572835.611296] AUTODETECT spr round 5 (radius: 25)
[18:30:37 -569121.456097] SPR radius for FAST iterations: 25 (autodetect)
[18:30:37 -569121.456097] Model parameter optimization (eps = 3.000000)
[18:30:59 -568815.648909] FAST spr round 1 (radius: 25)
[18:34:59 -522185.598964] FAST spr round 2 (radius: 25)
[18:37:59 -517101.711011] FAST spr round 3 (radius: 25)
[18:40:31 -516204.287257] FAST spr round 4 (radius: 25)
[18:42:45 -516105.199712] FAST spr round 5 (radius: 25)
[18:44:44 -516068.277542] FAST spr round 6 (radius: 25)
[18:46:39 -516059.964730] FAST spr round 7 (radius: 25)
[18:48:24 -516059.964647] Model parameter optimization (eps = 1.000000)
[18:48:40 -516017.341909] SLOW spr round 1 (radius: 5)
[18:51:08 -515867.839563] SLOW spr round 2 (radius: 5)
[18:53:30 -515842.014979] SLOW spr round 3 (radius: 5)
[18:55:45 -515836.030984] SLOW spr round 4 (radius: 5)
[18:57:58 -515836.030964] SLOW spr round 5 (radius: 10)
[19:00:20 -515811.741327] SLOW spr round 6 (radius: 5)
[19:02:57 -515799.587785] SLOW spr round 7 (radius: 5)
[19:05:18 -515799.587615] SLOW spr round 8 (radius: 10)
[19:07:42 -515798.466496] SLOW spr round 9 (radius: 5)
[19:10:16 -515791.088377] SLOW spr round 10 (radius: 5)
[19:12:37 -515791.088364] SLOW spr round 11 (radius: 10)
[19:15:01 -515789.771051] SLOW spr round 12 (radius: 5)
[19:17:35 -515787.431610] SLOW spr round 13 (radius: 5)
[19:19:56 -515787.431600] SLOW spr round 14 (radius: 10)
[19:22:20 -515787.250968] SLOW spr round 15 (radius: 5)
[19:24:53 -515785.488930] SLOW spr round 16 (radius: 5)
[19:27:17 -515785.488800] SLOW spr round 17 (radius: 10)
[19:29:41 -515785.488798] SLOW spr round 18 (radius: 15)
[19:34:04 -515780.971431] SLOW spr round 19 (radius: 5)
[19:36:44 -515780.971179] SLOW spr round 20 (radius: 10)
[19:39:24 -515780.971177] SLOW spr round 21 (radius: 15)
[19:43:28 -515780.971177] SLOW spr round 22 (radius: 20)
[19:51:07 -515780.971176] SLOW spr round 23 (radius: 25)
[20:00:31 -515780.971176] Model parameter optimization (eps = 0.100000)

[20:00:40] ML tree search #13, logLikelihood: -515780.675199

[20:00:40 -1178098.824802] Initial branch length optimization
[20:00:44 -1052884.822601] Model parameter optimization (eps = 10.000000)
[20:01:10 -1049943.750677] AUTODETECT spr round 1 (radius: 5)
[20:03:30 -887121.546098] AUTODETECT spr round 2 (radius: 10)
[20:05:52 -693973.797314] AUTODETECT spr round 3 (radius: 15)
[20:08:32 -592438.246307] AUTODETECT spr round 4 (radius: 20)
[20:11:54 -571582.938131] AUTODETECT spr round 5 (radius: 25)
[20:15:07 -561801.520000] SPR radius for FAST iterations: 25 (autodetect)
[20:15:07 -561801.520000] Model parameter optimization (eps = 3.000000)
[20:15:25 -561568.035376] FAST spr round 1 (radius: 25)
[20:19:25 -519590.385358] FAST spr round 2 (radius: 25)
[20:22:22 -516423.155691] FAST spr round 3 (radius: 25)
[20:24:49 -516218.483735] FAST spr round 4 (radius: 25)
[20:26:54 -516187.207988] FAST spr round 5 (radius: 25)
[20:28:48 -516181.343529] FAST spr round 6 (radius: 25)
[20:30:39 -516181.343526] Model parameter optimization (eps = 1.000000)
[20:30:56 -516125.721468] SLOW spr round 1 (radius: 5)
[20:33:28 -515958.188719] SLOW spr round 2 (radius: 5)
[20:35:44 -515928.848663] SLOW spr round 3 (radius: 5)
[20:37:51 -515925.210929] SLOW spr round 4 (radius: 5)
[20:39:55 -515925.210242] SLOW spr round 5 (radius: 10)
[20:42:10 -515885.450472] SLOW spr round 6 (radius: 5)
[20:44:43 -515821.375449] SLOW spr round 7 (radius: 5)
[20:47:04 -515804.374144] SLOW spr round 8 (radius: 5)
[20:49:15 -515802.091466] SLOW spr round 9 (radius: 5)
[20:51:20 -515802.091398] SLOW spr round 10 (radius: 10)
[20:53:32 -515802.091398] SLOW spr round 11 (radius: 15)
[20:57:56 -515802.091398] SLOW spr round 12 (radius: 20)
[21:04:51 -515802.091398] SLOW spr round 13 (radius: 25)
[21:14:06 -515802.091398] Model parameter optimization (eps = 0.100000)

[21:14:17] ML tree search #14, logLikelihood: -515801.983400

[21:14:17 -1175046.272156] Initial branch length optimization
[21:14:19 -1050423.450896] Model parameter optimization (eps = 10.000000)
[21:14:48 -1047325.283551] AUTODETECT spr round 1 (radius: 5)
[21:16:53 -874817.839580] AUTODETECT spr round 2 (radius: 10)
[21:19:06 -690780.262053] AUTODETECT spr round 3 (radius: 15)
[21:21:36 -610886.182591] AUTODETECT spr round 4 (radius: 20)
[21:26:11 -584087.631700] AUTODETECT spr round 5 (radius: 25)
[21:29:54 -574978.032009] SPR radius for FAST iterations: 25 (autodetect)
[21:29:54 -574978.032009] Model parameter optimization (eps = 3.000000)
[21:30:15 -574712.305949] FAST spr round 1 (radius: 25)
[21:33:49 -522436.708215] FAST spr round 2 (radius: 25)
[21:36:31 -517048.951153] FAST spr round 3 (radius: 25)
[21:38:53 -516412.018062] FAST spr round 4 (radius: 25)
[21:40:50 -516402.054816] FAST spr round 5 (radius: 25)
[21:42:43 -516263.419306] FAST spr round 6 (radius: 25)
[21:44:28 -516245.940156] FAST spr round 7 (radius: 25)
[21:46:08 -516245.939997] Model parameter optimization (eps = 1.000000)
[21:46:23 -516174.499068] SLOW spr round 1 (radius: 5)
[21:48:46 -515995.270655] SLOW spr round 2 (radius: 5)
[21:51:09 -515969.127262] SLOW spr round 3 (radius: 5)
[21:53:23 -515968.177377] SLOW spr round 4 (radius: 5)
[21:55:35 -515968.177377] SLOW spr round 5 (radius: 10)
[21:57:49 -515966.977370] SLOW spr round 6 (radius: 5)
[22:00:18 -515965.226538] SLOW spr round 7 (radius: 5)
[22:02:32 -515965.226537] SLOW spr round 8 (radius: 10)
[22:04:46 -515964.928415] SLOW spr round 9 (radius: 5)
[22:07:14 -515964.928390] SLOW spr round 10 (radius: 10)
[22:09:40 -515964.928390] SLOW spr round 11 (radius: 15)
[22:13:24 -515964.928390] SLOW spr round 12 (radius: 20)
[22:19:45 -515964.928389] SLOW spr round 13 (radius: 25)
[22:27:56 -515962.172676] SLOW spr round 14 (radius: 5)
[22:30:31 -515961.783489] SLOW spr round 15 (radius: 5)
[22:32:51 -515961.783417] SLOW spr round 16 (radius: 10)
[22:35:10 -515959.253189] SLOW spr round 17 (radius: 5)
[22:37:36 -515953.272265] SLOW spr round 18 (radius: 5)
[22:39:48 -515953.272228] SLOW spr round 19 (radius: 10)
[22:42:01 -515953.272227] SLOW spr round 20 (radius: 15)
[22:45:48 -515953.272227] SLOW spr round 21 (radius: 20)
[22:52:25 -515953.272226] SLOW spr round 22 (radius: 25)
[23:01:05 -515953.272226] Model parameter optimization (eps = 0.100000)

[23:01:19] ML tree search #15, logLikelihood: -515952.549566

[23:01:19 -1177030.693502] Initial branch length optimization
[23:01:21 -1052798.256027] Model parameter optimization (eps = 10.000000)
[23:01:52 -1049734.321445] AUTODETECT spr round 1 (radius: 5)
[23:04:09 -867522.040906] AUTODETECT spr round 2 (radius: 10)
[23:06:24 -673856.011996] AUTODETECT spr round 3 (radius: 15)
[23:09:01 -586950.872429] AUTODETECT spr round 4 (radius: 20)
[23:12:02 -569036.758941] AUTODETECT spr round 5 (radius: 25)
[23:15:23 -565612.757782] SPR radius for FAST iterations: 25 (autodetect)
[23:15:23 -565612.757782] Model parameter optimization (eps = 3.000000)
[23:15:42 -565394.344853] FAST spr round 1 (radius: 25)
[23:19:30 -523379.961590] FAST spr round 2 (radius: 25)
[23:22:27 -516972.327128] FAST spr round 3 (radius: 25)
[23:24:58 -516524.643511] FAST spr round 4 (radius: 25)
[23:27:10 -516414.215404] FAST spr round 5 (radius: 25)
[23:29:15 -516382.045411] FAST spr round 6 (radius: 25)
[23:31:04 -516365.749238] FAST spr round 7 (radius: 25)
[23:32:51 -516365.749227] Model parameter optimization (eps = 1.000000)
[23:33:14 -516293.661423] SLOW spr round 1 (radius: 5)
[23:35:54 -516153.158915] SLOW spr round 2 (radius: 5)
[23:38:20 -516133.331070] SLOW spr round 3 (radius: 5)
[23:40:35 -516133.330794] SLOW spr round 4 (radius: 10)
[23:43:01 -516104.852605] SLOW spr round 5 (radius: 5)
[23:45:45 -516082.711922] SLOW spr round 6 (radius: 5)
[23:48:09 -516082.711692] SLOW spr round 7 (radius: 10)
[23:50:36 -516081.167743] SLOW spr round 8 (radius: 5)
[23:53:13 -516081.167683] SLOW spr round 9 (radius: 10)
[23:55:53 -516081.167682] SLOW spr round 10 (radius: 15)
[24:00:03 -516074.625029] SLOW spr round 11 (radius: 5)
[24:02:45 -516074.586867] SLOW spr round 12 (radius: 10)
[24:05:35 -516074.586818] SLOW spr round 13 (radius: 15)
[24:09:41 -516074.586817] SLOW spr round 14 (radius: 20)
[24:16:56 -516074.586816] SLOW spr round 15 (radius: 25)
[24:25:46 -516042.022034] SLOW spr round 16 (radius: 5)
[24:28:33 -516042.022001] SLOW spr round 17 (radius: 10)
[24:31:35 -516042.022000] SLOW spr round 18 (radius: 15)
[24:35:38 -516042.021999] SLOW spr round 19 (radius: 20)
[24:42:53 -516042.021999] SLOW spr round 20 (radius: 25)
[24:51:43 -516042.021998] Model parameter optimization (eps = 0.100000)

[24:51:53] ML tree search #16, logLikelihood: -516041.418098

[24:51:53 -1177770.796479] Initial branch length optimization
[24:51:56 -1053660.517110] Model parameter optimization (eps = 10.000000)
[24:52:24 -1050686.621975] AUTODETECT spr round 1 (radius: 5)
[24:54:43 -872269.777233] AUTODETECT spr round 2 (radius: 10)
[24:57:02 -681276.435422] AUTODETECT spr round 3 (radius: 15)
[24:59:50 -597007.409513] AUTODETECT spr round 4 (radius: 20)
[25:03:50 -570299.454322] AUTODETECT spr round 5 (radius: 25)
[25:07:00 -564447.865219] SPR radius for FAST iterations: 25 (autodetect)
[25:07:00 -564447.865219] Model parameter optimization (eps = 3.000000)
[25:07:20 -564268.612418] FAST spr round 1 (radius: 25)
[25:11:04 -520088.265464] FAST spr round 2 (radius: 25)
[25:14:01 -517208.844480] FAST spr round 3 (radius: 25)
[25:16:24 -516079.384125] FAST spr round 4 (radius: 25)
[25:18:32 -515997.285235] FAST spr round 5 (radius: 25)
[25:20:28 -515974.022168] FAST spr round 6 (radius: 25)
[25:22:18 -515957.322599] FAST spr round 7 (radius: 25)
[25:24:03 -515957.322548] Model parameter optimization (eps = 1.000000)
[25:24:21 -515893.993643] SLOW spr round 1 (radius: 5)
[25:26:55 -515798.920535] SLOW spr round 2 (radius: 5)
[25:29:14 -515795.349893] SLOW spr round 3 (radius: 5)
[25:31:30 -515795.349508] SLOW spr round 4 (radius: 10)
[25:33:55 -515776.070385] SLOW spr round 5 (radius: 5)
[25:36:37 -515748.276333] SLOW spr round 6 (radius: 5)
[25:39:04 -515740.955126] SLOW spr round 7 (radius: 5)
[25:41:25 -515735.537382] SLOW spr round 8 (radius: 5)
[25:43:40 -515735.537337] SLOW spr round 9 (radius: 10)
[25:46:02 -515735.537336] SLOW spr round 10 (radius: 15)
[25:50:27 -515725.049796] SLOW spr round 11 (radius: 5)
[25:53:11 -515722.162106] SLOW spr round 12 (radius: 5)
[25:55:39 -515722.161989] SLOW spr round 13 (radius: 10)
[25:58:07 -515722.161987] SLOW spr round 14 (radius: 15)
[26:02:30 -515722.161987] SLOW spr round 15 (radius: 20)
[26:09:32 -515722.161987] SLOW spr round 16 (radius: 25)
[26:18:29 -515722.161986] Model parameter optimization (eps = 0.100000)

[26:18:35] ML tree search #17, logLikelihood: -515722.071859

[26:18:35 -1177380.819311] Initial branch length optimization
[26:18:37 -1052195.318946] Model parameter optimization (eps = 10.000000)
[26:19:12 -1048976.905117] AUTODETECT spr round 1 (radius: 5)
[26:21:28 -877794.623056] AUTODETECT spr round 2 (radius: 10)
[26:23:49 -678249.553595] AUTODETECT spr round 3 (radius: 15)
[26:26:22 -589459.195543] AUTODETECT spr round 4 (radius: 20)
[26:30:20 -562760.126359] AUTODETECT spr round 5 (radius: 25)
[26:33:39 -560252.364099] SPR radius for FAST iterations: 25 (autodetect)
[26:33:40 -560252.364099] Model parameter optimization (eps = 3.000000)
[26:34:00 -559889.370474] FAST spr round 1 (radius: 25)
[26:37:36 -518519.271542] FAST spr round 2 (radius: 25)
[26:40:24 -516271.497244] FAST spr round 3 (radius: 25)
[26:42:48 -515985.435722] FAST spr round 4 (radius: 25)
[26:44:54 -515930.443989] FAST spr round 5 (radius: 25)
[26:46:48 -515912.341352] FAST spr round 6 (radius: 25)
[26:48:36 -515912.341312] Model parameter optimization (eps = 1.000000)
[26:48:50 -515879.767973] SLOW spr round 1 (radius: 5)
[26:51:25 -515772.961359] SLOW spr round 2 (radius: 5)
[26:53:46 -515767.515885] SLOW spr round 3 (radius: 5)
[26:56:01 -515767.296169] SLOW spr round 4 (radius: 5)
[26:58:15 -515767.296077] SLOW spr round 5 (radius: 10)
[27:00:35 -515758.946855] SLOW spr round 6 (radius: 5)
[27:03:12 -515752.094474] SLOW spr round 7 (radius: 5)
[27:05:36 -515751.991515] SLOW spr round 8 (radius: 5)
[27:07:53 -515751.991465] SLOW spr round 9 (radius: 10)
[27:10:13 -515751.991464] SLOW spr round 10 (radius: 15)
[27:14:49 -515745.504609] SLOW spr round 11 (radius: 5)
[27:17:32 -515728.974901] SLOW spr round 12 (radius: 5)
[27:20:00 -515723.592339] SLOW spr round 13 (radius: 5)
[27:22:19 -515723.592330] SLOW spr round 14 (radius: 10)
[27:24:41 -515722.459661] SLOW spr round 15 (radius: 5)
[27:27:20 -515709.053214] SLOW spr round 16 (radius: 5)
[27:29:43 -515708.288280] SLOW spr round 17 (radius: 5)
[27:32:00 -515708.288247] SLOW spr round 18 (radius: 10)
[27:34:19 -515708.288246] SLOW spr round 19 (radius: 15)
[27:38:43 -515708.288245] SLOW spr round 20 (radius: 20)
[27:45:44 -515708.288244] SLOW spr round 21 (radius: 25)
[27:55:06 -515708.288243] Model parameter optimization (eps = 0.100000)

[27:55:17] ML tree search #18, logLikelihood: -515708.145077

[27:55:17 -1176365.578640] Initial branch length optimization
[27:55:20 -1051254.921909] Model parameter optimization (eps = 10.000000)
[27:55:51 -1048069.180500] AUTODETECT spr round 1 (radius: 5)
[27:58:04 -874311.945872] AUTODETECT spr round 2 (radius: 10)
[28:00:21 -674915.661184] AUTODETECT spr round 3 (radius: 15)
[28:02:53 -597044.299752] AUTODETECT spr round 4 (radius: 20)
[28:06:27 -570372.226359] AUTODETECT spr round 5 (radius: 25)
[28:09:22 -560060.819913] SPR radius for FAST iterations: 25 (autodetect)
[28:09:22 -560060.819913] Model parameter optimization (eps = 3.000000)
[28:09:47 -559781.823091] FAST spr round 1 (radius: 25)
[28:13:29 -518669.744005] FAST spr round 2 (radius: 25)
[28:16:29 -516288.496060] FAST spr round 3 (radius: 25)
[28:19:01 -516132.471216] FAST spr round 4 (radius: 25)
[28:21:12 -516087.407728] FAST spr round 5 (radius: 25)
[28:23:11 -516072.518891] FAST spr round 6 (radius: 25)
[28:25:02 -516069.685607] FAST spr round 7 (radius: 25)
[28:26:49 -516069.685522] Model parameter optimization (eps = 1.000000)
[28:27:04 -516028.599259] SLOW spr round 1 (radius: 5)
[28:29:40 -515850.953069] SLOW spr round 2 (radius: 5)
[28:32:03 -515812.203674] SLOW spr round 3 (radius: 5)
[28:34:20 -515809.041756] SLOW spr round 4 (radius: 5)
[28:36:35 -515809.041667] SLOW spr round 5 (radius: 10)
[28:38:57 -515797.441423] SLOW spr round 6 (radius: 5)
[28:41:35 -515793.866483] SLOW spr round 7 (radius: 5)
[28:44:00 -515793.866477] SLOW spr round 8 (radius: 10)
[28:46:27 -515793.094983] SLOW spr round 9 (radius: 5)
[28:49:05 -515788.800183] SLOW spr round 10 (radius: 5)
[28:51:29 -515788.800146] SLOW spr round 11 (radius: 10)
[28:53:58 -515778.995532] SLOW spr round 12 (radius: 5)
[28:56:36 -515773.918857] SLOW spr round 13 (radius: 5)
[28:58:59 -515773.918811] SLOW spr round 14 (radius: 10)
[29:01:25 -515773.918810] SLOW spr round 15 (radius: 15)
[29:06:17 -515773.918810] SLOW spr round 16 (radius: 20)
[29:14:06 -515773.918810] SLOW spr round 17 (radius: 25)
[29:24:04 -515773.918810] Model parameter optimization (eps = 0.100000)

[29:24:10] ML tree search #19, logLikelihood: -515773.866655

[29:24:10 -1179074.593032] Initial branch length optimization
[29:24:13 -1051681.729201] Model parameter optimization (eps = 10.000000)
[29:24:50 -1048529.010182] AUTODETECT spr round 1 (radius: 5)
[29:27:09 -878068.986024] AUTODETECT spr round 2 (radius: 10)
[29:29:27 -678814.012988] AUTODETECT spr round 3 (radius: 15)
[29:31:56 -598338.637847] AUTODETECT spr round 4 (radius: 20)
[29:35:37 -572857.845733] AUTODETECT spr round 5 (radius: 25)
[29:38:40 -564040.280731] SPR radius for FAST iterations: 25 (autodetect)
[29:38:40 -564040.280731] Model parameter optimization (eps = 3.000000)
[29:39:00 -563815.670535] FAST spr round 1 (radius: 25)
[29:42:28 -525986.079055] FAST spr round 2 (radius: 25)
[29:45:24 -517003.795505] FAST spr round 3 (radius: 25)
[29:47:52 -516209.010994] FAST spr round 4 (radius: 25)
[29:50:07 -516086.751106] FAST spr round 5 (radius: 25)
[29:52:10 -516043.534102] FAST spr round 6 (radius: 25)
[29:54:01 -516038.752710] FAST spr round 7 (radius: 25)
[29:55:48 -516038.752602] Model parameter optimization (eps = 1.000000)
[29:56:07 -515985.523926] SLOW spr round 1 (radius: 5)
[29:58:41 -515815.908406] SLOW spr round 2 (radius: 5)
[30:01:06 -515790.813465] SLOW spr round 3 (radius: 5)
[30:03:22 -515790.813305] SLOW spr round 4 (radius: 10)
[30:05:47 -515750.960902] SLOW spr round 5 (radius: 5)
[30:08:32 -515731.338251] SLOW spr round 6 (radius: 5)
[30:11:00 -515727.130117] SLOW spr round 7 (radius: 5)
[30:13:18 -515727.130112] SLOW spr round 8 (radius: 10)
[30:15:39 -515726.783814] SLOW spr round 9 (radius: 5)
[30:18:20 -515721.764427] SLOW spr round 10 (radius: 5)
[30:20:45 -515721.764337] SLOW spr round 11 (radius: 10)
[30:23:09 -515721.764336] SLOW spr round 12 (radius: 15)
[30:27:25 -515721.764336] SLOW spr round 13 (radius: 20)
[30:34:15 -515721.764336] SLOW spr round 14 (radius: 25)
[30:43:38 -515721.764336] Model parameter optimization (eps = 0.100000)

[30:43:48] ML tree search #20, logLikelihood: -515721.577477


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.163178,0.192140) (0.083919,0.348595) (0.400676,0.729617) (0.352226,1.837037) 
   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: -515691.195515

AIC score: 1035392.391030 / AICc score: 9079452.391030 / BIC score: 1044976.134455
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=880).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6P3V2/3_mltree/Q6P3V2.raxml.log

Analysis started: 13-Jul-2021 20:29:40 / finished: 15-Jul-2021 03:13:28

Elapsed time: 110628.347 seconds

Consumed energy: 9847.101 Wh (= 49 km in an electric car, or 246 km with an e-scooter!)