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 15-Jul-2021 02:24:39 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/2_msa/P49711_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711 --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/P49711/2_msa/P49711_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 595 sites

WARNING: Sequences tr_M3Y4U4_M3Y4U4_MUSPF_9669 and tr_E2RJR9_E2RJR9_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3Y4U4_M3Y4U4_MUSPF_9669 and tr_G1MGF9_G1MGF9_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3Y4U4_M3Y4U4_MUSPF_9669 and tr_A0A2U3ZQP0_A0A2U3ZQP0_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3Y4U4_M3Y4U4_MUSPF_9669 and tr_A0A2Y9K1L7_A0A2Y9K1L7_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3Y4U4_M3Y4U4_MUSPF_9669 and tr_A0A384D1P4_A0A384D1P4_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G1S1R1_G1S1R1_NOMLE_61853 and tr_G3RKQ6_G3RKQ6_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1S1R1_G1S1R1_NOMLE_61853 and tr_H2NQQ0_H2NQQ0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_H2NR83_H2NR83_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_G1SWA5_G1SWA5_RABIT_9986 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_H2QBB9_H2QBB9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and sp_Q9R1D1_CTCF_RAT_10116 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_I3MZ84_I3MZ84_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and sp_P49711_CTCF_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_G7NQ61_G7NQ61_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_G8F4K8_G8F4K8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_L5KSR1_L5KSR1_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A096NZP9_A0A096NZP9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A3Q0EDC7_A0A3Q0EDC7_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A1U8CCQ0_A0A1U8CCQ0_MESAU_10036 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A2K5NS86_A0A2K5NS86_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A2K6CQN4_A0A2K6CQN4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A2K6A1T9_A0A2K6A1T9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3QFH5_G3QFH5_GORGO_9595 and tr_A0A2R9CRW2_A0A2R9CRW2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_Q29E70_Q29E70_DROPS_46245 and tr_B4HAU6_B4HAU6_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2PYV9_H2PYV9_PANTR_9598 and sp_P17025_ZN182_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QAY6_H2QAY6_PANTR_9598 and tr_A0A2R8ZSQ2_A0A2R8ZSQ2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QWY0_H2QWY0_PANTR_9598 and tr_A0A2R9AP39_A0A2R9AP39_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NFC7_A0A158NFC7_ATTCE_12957 and tr_A0A195BI64_A0A195BI64_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A1D5QC17_A0A1D5QC17_MACMU_9544 and tr_A0A2K6BUH3_A0A2K6BUH3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QFU4_A0A1D5QFU4_MACMU_9544 and tr_A0A0A0MVY8_A0A0A0MVY8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QFU4_A0A1D5QFU4_MACMU_9544 and tr_A0A2K5M0K3_A0A2K5M0K3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QJK0_A0A1D5QJK0_MACMU_9544 and tr_G7PZM3_G7PZM3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6WQ38_F6WQ38_MACMU_9544 and tr_G7PRN1_G7PRN1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6WQ38_F6WQ38_MACMU_9544 and tr_A0A2K6DYU0_A0A2K6DYU0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_I3LDG5_I3LDG5_PIG_9823 and tr_A0A2Y9SXZ5_A0A2Y9SXZ5_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_I3LDG5_I3LDG5_PIG_9823 and tr_A0A384BEM0_A0A384BEM0_BALAS_310752 are exactly identical!
WARNING: Sequences tr_G7Q0Y7_G7Q0Y7_MACFA_9541 and tr_A0A2K6E406_A0A2K6E406_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7Q0Y7_G7Q0Y7_MACFA_9541 and tr_A0A2K5Z431_A0A2K5Z431_MANLE_9568 are exactly identical!
WARNING: Sequences tr_Q08DH9_Q08DH9_BOVIN_9913 and tr_A0A2U4BDE5_A0A2U4BDE5_TURTR_9739 are exactly identical!
WARNING: Sequences tr_Q08DH9_Q08DH9_BOVIN_9913 and tr_A0A2U4BDH5_A0A2U4BDH5_TURTR_9739 are exactly identical!
WARNING: Sequences tr_Q08DH9_Q08DH9_BOVIN_9913 and tr_A0A2Y9NYV3_A0A2Y9NYV3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_U3IIP3_U3IIP3_ANAPL_8839 and tr_A0A091WN93_A0A091WN93_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_U3IIP3_U3IIP3_ANAPL_8839 and tr_A0A087QNA1_A0A087QNA1_APTFO_9233 are exactly identical!
WARNING: Sequences tr_U3IIP3_U3IIP3_ANAPL_8839 and tr_A0A0A0AX99_A0A0A0AX99_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A2I3MEB8_A0A2I3MEB8_PAPAN_9555 and tr_A0A2K5NZC2_A0A2K5NZC2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A151NJM4_A0A151NJM4_ALLMI_8496 and tr_A0A1U7S702_A0A1U7S702_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A2I0LMM1_A0A2I0LMM1_COLLI_8932 and tr_A0A1V4K2C3_A0A1V4K2C3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A226MPP6_A0A226MPP6_CALSU_9009 and tr_A0A226P1V1_A0A226P1V1_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0QSV0_A0A2D0QSV0_ICTPU_7998 and tr_A0A2D0QUG8_A0A2D0QUG8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5LAJ0_A0A2K5LAJ0_CERAT_9531 and tr_A0A2K5Y6G8_A0A2K5Y6G8_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 50

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/P49711/3_mltree/P49711.raxml.reduced.phy

Alignment comprises 1 partitions and 595 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 595 / 595
Gaps: 18.95 %
Invariant sites: 0.34 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -930878.746747] Initial branch length optimization
[00:00:03 -804463.131840] Model parameter optimization (eps = 10.000000)
[00:00:51 -803344.039617] AUTODETECT spr round 1 (radius: 5)
[00:02:48 -581171.090821] AUTODETECT spr round 2 (radius: 10)
[00:04:58 -398272.962900] AUTODETECT spr round 3 (radius: 15)
[00:07:17 -320965.118327] AUTODETECT spr round 4 (radius: 20)
[00:10:02 -293542.862256] AUTODETECT spr round 5 (radius: 25)
[00:12:55 -287933.075606] SPR radius for FAST iterations: 25 (autodetect)
[00:12:55 -287933.075606] Model parameter optimization (eps = 3.000000)
[00:13:11 -287856.371120] FAST spr round 1 (radius: 25)
[00:15:36 -255125.330760] FAST spr round 2 (radius: 25)
[00:17:37 -250387.565775] FAST spr round 3 (radius: 25)
[00:19:28 -250055.759060] FAST spr round 4 (radius: 25)
[00:21:08 -250027.777755] FAST spr round 5 (radius: 25)
[00:22:40 -250025.011774] FAST spr round 6 (radius: 25)
[00:24:09 -250025.010824] Model parameter optimization (eps = 1.000000)
[00:24:23 -250014.404921] SLOW spr round 1 (radius: 5)
[00:26:25 -249944.596014] SLOW spr round 2 (radius: 5)
[00:28:22 -249937.450982] SLOW spr round 3 (radius: 5)
[00:30:14 -249933.675910] SLOW spr round 4 (radius: 5)
[00:32:06 -249933.675823] SLOW spr round 5 (radius: 10)
[00:34:00 -249931.049507] SLOW spr round 6 (radius: 5)
[00:36:11 -249931.048990] SLOW spr round 7 (radius: 10)
[00:38:17 -249931.048988] SLOW spr round 8 (radius: 15)
[00:41:27 -249930.640175] SLOW spr round 9 (radius: 5)
[00:43:44 -249930.640167] SLOW spr round 10 (radius: 10)
[00:45:56 -249930.261175] SLOW spr round 11 (radius: 5)
[00:48:06 -249930.247029] SLOW spr round 12 (radius: 10)
[00:50:10 -249930.247019] SLOW spr round 13 (radius: 15)
[00:53:20 -249930.247018] SLOW spr round 14 (radius: 20)
[00:58:50 -249930.247018] SLOW spr round 15 (radius: 25)
[01:05:01 -249930.247018] Model parameter optimization (eps = 0.100000)

[01:05:06] ML tree search #1, logLikelihood: -249930.211891

[01:05:06 -931175.900808] Initial branch length optimization
[01:05:10 -801669.785920] Model parameter optimization (eps = 10.000000)
[01:05:50 -800728.121446] AUTODETECT spr round 1 (radius: 5)
[01:07:46 -584554.990265] AUTODETECT spr round 2 (radius: 10)
[01:09:58 -388617.943282] AUTODETECT spr round 3 (radius: 15)
[01:12:17 -321069.523752] AUTODETECT spr round 4 (radius: 20)
[01:15:31 -295747.735733] AUTODETECT spr round 5 (radius: 25)
[01:18:26 -291108.461197] SPR radius for FAST iterations: 25 (autodetect)
[01:18:26 -291108.461197] Model parameter optimization (eps = 3.000000)
[01:18:44 -291057.582520] FAST spr round 1 (radius: 25)
[01:21:08 -256939.788992] FAST spr round 2 (radius: 25)
[01:23:09 -251533.231883] FAST spr round 3 (radius: 25)
[01:25:03 -250139.597810] FAST spr round 4 (radius: 25)
[01:26:45 -250062.269674] FAST spr round 5 (radius: 25)
[01:28:18 -250053.102234] FAST spr round 6 (radius: 25)
[01:29:48 -250053.100968] Model parameter optimization (eps = 1.000000)
[01:30:02 -250042.511754] SLOW spr round 1 (radius: 5)
[01:31:59 -250016.851711] SLOW spr round 2 (radius: 5)
[01:33:54 -249996.278807] SLOW spr round 3 (radius: 5)
[01:35:46 -249996.122580] SLOW spr round 4 (radius: 5)
[01:37:38 -249996.122335] SLOW spr round 5 (radius: 10)
[01:39:31 -249990.824756] SLOW spr round 6 (radius: 5)
[01:41:44 -249988.088697] SLOW spr round 7 (radius: 5)
[01:43:44 -249987.392231] SLOW spr round 8 (radius: 5)
[01:45:40 -249987.392202] SLOW spr round 9 (radius: 10)
[01:47:34 -249985.968618] SLOW spr round 10 (radius: 5)
[01:49:46 -249984.016599] SLOW spr round 11 (radius: 5)
[01:51:47 -249982.304856] SLOW spr round 12 (radius: 5)
[01:53:41 -249982.304744] SLOW spr round 13 (radius: 10)
[01:55:35 -249982.304743] SLOW spr round 14 (radius: 15)
[01:58:41 -249982.304743] SLOW spr round 15 (radius: 20)
[02:03:34 -249982.304743] SLOW spr round 16 (radius: 25)
[02:09:20 -249981.972791] SLOW spr round 17 (radius: 5)
[02:11:41 -249980.927366] SLOW spr round 18 (radius: 5)
[02:13:46 -249980.927194] SLOW spr round 19 (radius: 10)
[02:15:46 -249980.927192] SLOW spr round 20 (radius: 15)
[02:18:47 -249980.927192] SLOW spr round 21 (radius: 20)
[02:23:46 -249980.927192] SLOW spr round 22 (radius: 25)
[02:29:37 -249980.927192] Model parameter optimization (eps = 0.100000)

[02:29:45] ML tree search #2, logLikelihood: -249980.842893

[02:29:45 -928439.270426] Initial branch length optimization
[02:29:49 -799303.182622] Model parameter optimization (eps = 10.000000)
[02:30:30 -798155.980875] AUTODETECT spr round 1 (radius: 5)
[02:32:31 -572256.761534] AUTODETECT spr round 2 (radius: 10)
[02:34:45 -378296.339865] AUTODETECT spr round 3 (radius: 15)
[02:37:00 -314214.973490] AUTODETECT spr round 4 (radius: 20)
[02:39:40 -295615.143278] AUTODETECT spr round 5 (radius: 25)
[02:42:39 -282766.168235] SPR radius for FAST iterations: 25 (autodetect)
[02:42:40 -282766.168235] Model parameter optimization (eps = 3.000000)
[02:43:02 -282691.987708] FAST spr round 1 (radius: 25)
[02:45:30 -252093.188746] FAST spr round 2 (radius: 25)
[02:47:29 -250322.332744] FAST spr round 3 (radius: 25)
[02:49:19 -250156.575048] FAST spr round 4 (radius: 25)
[02:50:55 -250121.673407] FAST spr round 5 (radius: 25)
[02:52:28 -250118.814361] FAST spr round 6 (radius: 25)
[02:53:58 -250114.576584] FAST spr round 7 (radius: 25)
[02:55:27 -250114.576569] Model parameter optimization (eps = 1.000000)
[02:55:42 -250098.443736] SLOW spr round 1 (radius: 5)
[02:57:38 -250038.876105] SLOW spr round 2 (radius: 5)
[02:59:34 -250029.733785] SLOW spr round 3 (radius: 5)
[03:01:28 -250029.732481] SLOW spr round 4 (radius: 10)
[03:03:23 -250027.254655] SLOW spr round 5 (radius: 5)
[03:05:34 -250026.469353] SLOW spr round 6 (radius: 5)
[03:07:34 -250026.469352] SLOW spr round 7 (radius: 10)
[03:09:31 -250026.469352] SLOW spr round 8 (radius: 15)
[03:12:30 -250026.469352] SLOW spr round 9 (radius: 20)
[03:17:12 -250026.469352] SLOW spr round 10 (radius: 25)
[03:22:57 -250017.394266] SLOW spr round 11 (radius: 5)
[03:25:19 -250010.506412] SLOW spr round 12 (radius: 5)
[03:27:26 -250005.571431] SLOW spr round 13 (radius: 5)
[03:29:24 -250004.980263] SLOW spr round 14 (radius: 5)
[03:31:18 -250004.979956] SLOW spr round 15 (radius: 10)
[03:33:13 -250004.979947] SLOW spr round 16 (radius: 15)
[03:36:19 -250004.979947] SLOW spr round 17 (radius: 20)
[03:41:14 -250004.979947] SLOW spr round 18 (radius: 25)
[03:47:12 -250004.979947] Model parameter optimization (eps = 0.100000)

[03:47:18] ML tree search #3, logLikelihood: -250004.884882

[03:47:18 -927102.588270] Initial branch length optimization
[03:47:23 -797438.626862] Model parameter optimization (eps = 10.000000)
[03:48:13 -796330.700666] AUTODETECT spr round 1 (radius: 5)
[03:50:14 -572594.222083] AUTODETECT spr round 2 (radius: 10)
[03:52:26 -401880.525130] AUTODETECT spr round 3 (radius: 15)
[03:54:44 -328468.132350] AUTODETECT spr round 4 (radius: 20)
[03:57:34 -300367.572610] AUTODETECT spr round 5 (radius: 25)
[04:00:25 -296360.852043] SPR radius for FAST iterations: 25 (autodetect)
[04:00:25 -296360.852043] Model parameter optimization (eps = 3.000000)
[04:00:40 -296271.205472] FAST spr round 1 (radius: 25)
[04:03:07 -255911.869072] FAST spr round 2 (radius: 25)
[04:05:03 -250385.870481] FAST spr round 3 (radius: 25)
[04:06:47 -250209.040448] FAST spr round 4 (radius: 25)
[04:08:26 -250158.798180] FAST spr round 5 (radius: 25)
[04:09:59 -250154.650286] FAST spr round 6 (radius: 25)
[04:11:28 -250154.649722] Model parameter optimization (eps = 1.000000)
[04:11:45 -250135.342337] SLOW spr round 1 (radius: 5)
[04:13:43 -250073.454590] SLOW spr round 2 (radius: 5)
[04:15:38 -250068.814941] SLOW spr round 3 (radius: 5)
[04:17:31 -250068.814765] SLOW spr round 4 (radius: 10)
[04:19:26 -250057.448686] SLOW spr round 5 (radius: 5)
[04:21:45 -250041.409302] SLOW spr round 6 (radius: 5)
[04:23:50 -250031.758319] SLOW spr round 7 (radius: 5)
[04:25:46 -250030.927281] SLOW spr round 8 (radius: 5)
[04:27:40 -250030.927267] SLOW spr round 9 (radius: 10)
[04:29:33 -250030.927267] SLOW spr round 10 (radius: 15)
[04:32:47 -250021.846742] SLOW spr round 11 (radius: 5)
[04:35:04 -250020.971826] SLOW spr round 12 (radius: 5)
[04:37:07 -250020.971750] SLOW spr round 13 (radius: 10)
[04:39:06 -250020.971750] SLOW spr round 14 (radius: 15)
[04:42:14 -250020.971750] SLOW spr round 15 (radius: 20)
[04:47:21 -250020.971750] SLOW spr round 16 (radius: 25)
[04:53:30 -250020.971750] Model parameter optimization (eps = 0.100000)

[04:53:34] ML tree search #4, logLikelihood: -250020.955013

[04:53:35 -926799.886278] Initial branch length optimization
[04:53:38 -802150.667259] Model parameter optimization (eps = 10.000000)
[04:54:16 -801071.059079] AUTODETECT spr round 1 (radius: 5)
[04:56:14 -574611.558282] AUTODETECT spr round 2 (radius: 10)
[04:58:26 -378713.376060] AUTODETECT spr round 3 (radius: 15)
[05:00:47 -306989.701287] AUTODETECT spr round 4 (radius: 20)
[05:03:22 -282492.848401] AUTODETECT spr round 5 (radius: 25)
[05:06:30 -276971.964037] SPR radius for FAST iterations: 25 (autodetect)
[05:06:30 -276971.964037] Model parameter optimization (eps = 3.000000)
[05:06:47 -276907.106863] FAST spr round 1 (radius: 25)
[05:09:12 -251985.286601] FAST spr round 2 (radius: 25)
[05:11:12 -250605.104862] FAST spr round 3 (radius: 25)
[05:12:57 -250099.446970] FAST spr round 4 (radius: 25)
[05:14:37 -250060.567078] FAST spr round 5 (radius: 25)
[05:16:09 -250055.859694] FAST spr round 6 (radius: 25)
[05:17:38 -250055.858985] Model parameter optimization (eps = 1.000000)
[05:17:54 -250042.178856] SLOW spr round 1 (radius: 5)
[05:19:51 -249969.132860] SLOW spr round 2 (radius: 5)
[05:21:48 -249962.582727] SLOW spr round 3 (radius: 5)
[05:23:45 -249950.416079] SLOW spr round 4 (radius: 5)
[05:25:39 -249950.415448] SLOW spr round 5 (radius: 10)
[05:27:34 -249948.856359] SLOW spr round 6 (radius: 5)
[05:29:45 -249948.856186] SLOW spr round 7 (radius: 10)
[05:31:50 -249948.856182] SLOW spr round 8 (radius: 15)
[05:34:44 -249948.856181] SLOW spr round 9 (radius: 20)
[05:39:41 -249948.856181] SLOW spr round 10 (radius: 25)
[05:45:40 -249948.856181] Model parameter optimization (eps = 0.100000)

[05:45:49] ML tree search #5, logLikelihood: -249948.718642

[05:45:49 -928041.147410] Initial branch length optimization
[05:45:52 -798860.105898] Model parameter optimization (eps = 10.000000)
[05:46:38 -797757.224519] AUTODETECT spr round 1 (radius: 5)
[05:48:36 -583625.405949] AUTODETECT spr round 2 (radius: 10)
[05:50:48 -395263.150952] AUTODETECT spr round 3 (radius: 15)
[05:53:15 -311652.209849] AUTODETECT spr round 4 (radius: 20)
[05:56:11 -283696.655399] AUTODETECT spr round 5 (radius: 25)
[05:59:23 -278341.225107] SPR radius for FAST iterations: 25 (autodetect)
[05:59:23 -278341.225107] Model parameter optimization (eps = 3.000000)
[05:59:37 -278269.454243] FAST spr round 1 (radius: 25)
[06:01:58 -251547.566546] FAST spr round 2 (radius: 25)
[06:03:51 -250277.435332] FAST spr round 3 (radius: 25)
[06:05:37 -250173.187783] FAST spr round 4 (radius: 25)
[06:07:14 -250133.332784] FAST spr round 5 (radius: 25)
[06:08:46 -250130.739768] FAST spr round 6 (radius: 25)
[06:10:15 -250130.739768] Model parameter optimization (eps = 1.000000)
[06:10:29 -250120.602897] SLOW spr round 1 (radius: 5)
[06:12:28 -250046.620591] SLOW spr round 2 (radius: 5)
[06:14:26 -250039.116550] SLOW spr round 3 (radius: 5)
[06:16:21 -250036.748977] SLOW spr round 4 (radius: 5)
[06:18:15 -250036.737472] SLOW spr round 5 (radius: 10)
[06:20:09 -250024.647001] SLOW spr round 6 (radius: 5)
[06:22:26 -250017.257561] SLOW spr round 7 (radius: 5)
[06:24:26 -250017.257448] SLOW spr round 8 (radius: 10)
[06:26:23 -250017.257445] SLOW spr round 9 (radius: 15)
[06:29:30 -250013.265091] SLOW spr round 10 (radius: 5)
[06:31:48 -250009.108014] SLOW spr round 11 (radius: 5)
[06:33:52 -250008.299591] SLOW spr round 12 (radius: 5)
[06:35:49 -250008.299582] SLOW spr round 13 (radius: 10)
[06:37:43 -250008.299582] SLOW spr round 14 (radius: 15)
[06:40:51 -250008.299582] SLOW spr round 15 (radius: 20)
[06:45:52 -250003.302681] SLOW spr round 16 (radius: 5)
[06:48:12 -249992.799217] SLOW spr round 17 (radius: 5)
[06:50:17 -249992.757220] SLOW spr round 18 (radius: 10)
[06:52:17 -249992.757059] SLOW spr round 19 (radius: 15)
[06:55:20 -249992.757059] SLOW spr round 20 (radius: 20)
[07:00:26 -249992.757059] SLOW spr round 21 (radius: 25)
[07:06:19 -249992.757059] Model parameter optimization (eps = 0.100000)

[07:06:26] ML tree search #6, logLikelihood: -249992.191917

[07:06:26 -930879.529142] Initial branch length optimization
[07:06:30 -802362.264933] Model parameter optimization (eps = 10.000000)
[07:07:15 -801352.730310] AUTODETECT spr round 1 (radius: 5)
[07:09:14 -562197.535342] AUTODETECT spr round 2 (radius: 10)
[07:11:25 -391059.105916] AUTODETECT spr round 3 (radius: 15)
[07:13:43 -318563.418654] AUTODETECT spr round 4 (radius: 20)
[07:16:39 -286455.460092] AUTODETECT spr round 5 (radius: 25)
[07:20:05 -278203.456916] SPR radius for FAST iterations: 25 (autodetect)
[07:20:05 -278203.456916] Model parameter optimization (eps = 3.000000)
[07:20:21 -278128.010120] FAST spr round 1 (radius: 25)
[07:22:40 -251166.075924] FAST spr round 2 (radius: 25)
[07:24:36 -250255.603029] FAST spr round 3 (radius: 25)
[07:26:22 -250152.516882] FAST spr round 4 (radius: 25)
[07:27:59 -250142.256189] FAST spr round 5 (radius: 25)
[07:29:31 -250138.953640] FAST spr round 6 (radius: 25)
[07:31:02 -250134.526724] FAST spr round 7 (radius: 25)
[07:32:30 -250134.526720] Model parameter optimization (eps = 1.000000)
[07:32:45 -250121.378298] SLOW spr round 1 (radius: 5)
[07:34:38 -250055.261799] SLOW spr round 2 (radius: 5)
[07:36:33 -250047.402323] SLOW spr round 3 (radius: 5)
[07:38:28 -250046.734547] SLOW spr round 4 (radius: 5)
[07:40:21 -250046.734492] SLOW spr round 5 (radius: 10)
[07:42:13 -250046.076434] SLOW spr round 6 (radius: 5)
[07:44:24 -250046.076397] SLOW spr round 7 (radius: 10)
[07:46:27 -250046.076396] SLOW spr round 8 (radius: 15)
[07:49:18 -250046.076395] SLOW spr round 9 (radius: 20)
[07:54:11 -250046.076394] SLOW spr round 10 (radius: 25)
[08:00:05 -250046.076394] Model parameter optimization (eps = 0.100000)

[08:00:13] ML tree search #7, logLikelihood: -250045.932686

[08:00:13 -927153.637895] Initial branch length optimization
[08:00:17 -800219.653615] Model parameter optimization (eps = 10.000000)
[08:01:03 -799099.582788] AUTODETECT spr round 1 (radius: 5)
[08:03:01 -571468.205635] AUTODETECT spr round 2 (radius: 10)
[08:05:12 -395870.135285] AUTODETECT spr round 3 (radius: 15)
[08:07:29 -317901.535725] AUTODETECT spr round 4 (radius: 20)
[08:10:11 -291994.540251] AUTODETECT spr round 5 (radius: 25)
[08:13:08 -283787.621210] SPR radius for FAST iterations: 25 (autodetect)
[08:13:08 -283787.621210] Model parameter optimization (eps = 3.000000)
[08:13:25 -283722.020060] FAST spr round 1 (radius: 25)
[08:15:45 -252318.067839] FAST spr round 2 (radius: 25)
[08:17:41 -250338.624689] FAST spr round 3 (radius: 25)
[08:19:29 -250131.359979] FAST spr round 4 (radius: 25)
[08:21:06 -250121.432488] FAST spr round 5 (radius: 25)
[08:22:38 -250117.853449] FAST spr round 6 (radius: 25)
[08:24:08 -250115.262650] FAST spr round 7 (radius: 25)
[08:25:36 -250115.262508] Model parameter optimization (eps = 1.000000)
[08:25:50 -250112.334812] SLOW spr round 1 (radius: 5)
[08:27:46 -250044.543738] SLOW spr round 2 (radius: 5)
[08:29:43 -250036.061472] SLOW spr round 3 (radius: 5)
[08:31:38 -250035.573025] SLOW spr round 4 (radius: 5)
[08:33:29 -250035.573007] SLOW spr round 5 (radius: 10)
[08:35:23 -250031.077172] SLOW spr round 6 (radius: 5)
[08:37:36 -250028.811925] SLOW spr round 7 (radius: 5)
[08:39:37 -250026.156680] SLOW spr round 8 (radius: 5)
[08:41:33 -250026.156606] SLOW spr round 9 (radius: 10)
[08:43:26 -250026.156606] SLOW spr round 10 (radius: 15)
[08:46:20 -250026.156606] SLOW spr round 11 (radius: 20)
[08:50:49 -250026.156606] SLOW spr round 12 (radius: 25)
[08:56:12 -250020.550136] SLOW spr round 13 (radius: 5)
[08:58:30 -250019.584701] SLOW spr round 14 (radius: 5)
[09:00:36 -250019.418660] SLOW spr round 15 (radius: 5)
[09:02:33 -250019.418644] SLOW spr round 16 (radius: 10)
[09:04:27 -250019.418643] SLOW spr round 17 (radius: 15)
[09:07:20 -250019.418643] SLOW spr round 18 (radius: 20)
[09:11:52 -250019.418643] SLOW spr round 19 (radius: 25)
[09:17:18 -250019.418643] Model parameter optimization (eps = 0.100000)

[09:17:25] ML tree search #8, logLikelihood: -250019.180353

[09:17:25 -926679.049680] Initial branch length optimization
[09:17:29 -799207.932721] Model parameter optimization (eps = 10.000000)
[09:18:12 -798169.175797] AUTODETECT spr round 1 (radius: 5)
[09:20:08 -565836.148896] AUTODETECT spr round 2 (radius: 10)
[09:22:20 -389373.512541] AUTODETECT spr round 3 (radius: 15)
[09:24:41 -319031.564673] AUTODETECT spr round 4 (radius: 20)
[09:27:10 -294722.166151] AUTODETECT spr round 5 (radius: 25)
[09:30:09 -287959.076955] SPR radius for FAST iterations: 25 (autodetect)
[09:30:09 -287959.076955] Model parameter optimization (eps = 3.000000)
[09:30:25 -287890.874786] FAST spr round 1 (radius: 25)
[09:32:49 -260589.598256] FAST spr round 2 (radius: 25)
[09:34:52 -258550.662072] FAST spr round 3 (radius: 25)
[09:36:49 -254019.177539] FAST spr round 4 (radius: 25)
[09:38:38 -250873.817646] FAST spr round 5 (radius: 25)
[09:40:20 -250055.686372] FAST spr round 6 (radius: 25)
[09:41:52 -250046.809800] FAST spr round 7 (radius: 25)
[09:43:21 -250046.809689] Model parameter optimization (eps = 1.000000)
[09:43:35 -250041.605454] SLOW spr round 1 (radius: 5)
[09:45:30 -250002.823664] SLOW spr round 2 (radius: 5)
[09:47:26 -249990.950038] SLOW spr round 3 (radius: 5)
[09:49:19 -249990.949634] SLOW spr round 4 (radius: 10)
[09:51:12 -249990.949627] SLOW spr round 5 (radius: 15)
[09:54:08 -249990.949627] SLOW spr round 6 (radius: 20)
[09:58:41 -249990.949627] SLOW spr round 7 (radius: 25)
[10:04:15 -249988.654180] SLOW spr round 8 (radius: 5)
[10:06:35 -249988.653398] SLOW spr round 9 (radius: 10)
[10:08:49 -249988.653379] SLOW spr round 10 (radius: 15)
[10:11:36 -249988.653379] SLOW spr round 11 (radius: 20)
[10:16:15 -249988.653379] SLOW spr round 12 (radius: 25)
[10:21:49 -249988.653379] Model parameter optimization (eps = 0.100000)

[10:21:59] ML tree search #9, logLikelihood: -249988.544001

[10:21:59 -928810.651792] Initial branch length optimization
[10:22:02 -799521.526511] Model parameter optimization (eps = 10.000000)
[10:22:44 -798380.217862] AUTODETECT spr round 1 (radius: 5)
[10:24:43 -562957.346857] AUTODETECT spr round 2 (radius: 10)
[10:26:55 -383366.730312] AUTODETECT spr round 3 (radius: 15)
[10:29:14 -301200.525091] AUTODETECT spr round 4 (radius: 20)
[10:32:00 -283470.990567] AUTODETECT spr round 5 (radius: 25)
[10:35:20 -276985.787418] SPR radius for FAST iterations: 25 (autodetect)
[10:35:20 -276985.787418] Model parameter optimization (eps = 3.000000)
[10:35:38 -276892.185903] FAST spr round 1 (radius: 25)
[10:38:05 -251801.579409] FAST spr round 2 (radius: 25)
[10:40:05 -250183.276125] FAST spr round 3 (radius: 25)
[10:41:55 -250050.451575] FAST spr round 4 (radius: 25)
[10:43:32 -250032.970696] FAST spr round 5 (radius: 25)
[10:45:03 -250032.970428] Model parameter optimization (eps = 1.000000)
[10:45:20 -250020.631859] SLOW spr round 1 (radius: 5)
[10:47:21 -249980.580214] SLOW spr round 2 (radius: 5)
[10:49:17 -249975.916980] SLOW spr round 3 (radius: 5)
[10:51:09 -249975.916209] SLOW spr round 4 (radius: 10)
[10:53:03 -249972.116060] SLOW spr round 5 (radius: 5)
[10:55:15 -249969.797863] SLOW spr round 6 (radius: 5)
[10:57:16 -249969.796392] SLOW spr round 7 (radius: 10)
[10:59:12 -249969.796238] SLOW spr round 8 (radius: 15)
[11:02:11 -249969.796225] SLOW spr round 9 (radius: 20)
[11:06:52 -249969.796223] SLOW spr round 10 (radius: 25)
[11:12:34 -249969.344813] SLOW spr round 11 (radius: 5)
[11:14:54 -249968.638868] SLOW spr round 12 (radius: 5)
[11:16:58 -249968.638866] SLOW spr round 13 (radius: 10)
[11:18:57 -249968.638864] SLOW spr round 14 (radius: 15)
[11:21:53 -249968.638861] SLOW spr round 15 (radius: 20)
[11:26:38 -249968.638859] SLOW spr round 16 (radius: 25)
[11:32:21 -249968.638857] Model parameter optimization (eps = 0.100000)

[11:32:26] ML tree search #10, logLikelihood: -249968.607701

[11:32:26 -932897.194753] Initial branch length optimization
[11:32:29 -803553.518108] Model parameter optimization (eps = 10.000000)
[11:33:16 -802559.477521] AUTODETECT spr round 1 (radius: 5)
[11:35:13 -561887.897211] AUTODETECT spr round 2 (radius: 10)
[11:37:24 -389904.394281] AUTODETECT spr round 3 (radius: 15)
[11:39:47 -322553.969292] AUTODETECT spr round 4 (radius: 20)
[11:42:27 -293815.256965] AUTODETECT spr round 5 (radius: 25)
[11:45:25 -281196.543439] SPR radius for FAST iterations: 25 (autodetect)
[11:45:25 -281196.543439] Model parameter optimization (eps = 3.000000)
[11:45:39 -281138.018598] FAST spr round 1 (radius: 25)
[11:48:08 -252025.715408] FAST spr round 2 (radius: 25)
[11:50:09 -250243.786000] FAST spr round 3 (radius: 25)
[11:51:54 -250139.027362] FAST spr round 4 (radius: 25)
[11:53:34 -250120.371288] FAST spr round 5 (radius: 25)
[11:55:07 -250120.370114] Model parameter optimization (eps = 1.000000)
[11:55:19 -250101.873576] SLOW spr round 1 (radius: 5)
[11:57:20 -250012.242710] SLOW spr round 2 (radius: 5)
[11:59:20 -250002.132003] SLOW spr round 3 (radius: 5)
[12:01:15 -250001.885989] SLOW spr round 4 (radius: 5)
[12:03:10 -250001.784629] SLOW spr round 5 (radius: 5)
[12:05:03 -250001.784590] SLOW spr round 6 (radius: 10)
[12:06:58 -249995.970199] SLOW spr round 7 (radius: 5)
[12:09:13 -249992.232094] SLOW spr round 8 (radius: 5)
[12:11:16 -249992.118651] SLOW spr round 9 (radius: 5)
[12:13:13 -249992.118418] SLOW spr round 10 (radius: 10)
[12:15:09 -249992.118403] SLOW spr round 11 (radius: 15)
[12:18:21 -249992.118401] SLOW spr round 12 (radius: 20)
[12:23:19 -249992.118401] SLOW spr round 13 (radius: 25)
[12:29:17 -249992.118401] Model parameter optimization (eps = 0.100000)

[12:29:26] ML tree search #11, logLikelihood: -249991.819094

[12:29:26 -931732.616164] Initial branch length optimization
[12:29:29 -802364.593143] Model parameter optimization (eps = 10.000000)
[12:30:12 -801348.719908] AUTODETECT spr round 1 (radius: 5)
[12:32:10 -567157.395879] AUTODETECT spr round 2 (radius: 10)
[12:34:19 -385184.502754] AUTODETECT spr round 3 (radius: 15)
[12:36:32 -315257.390937] AUTODETECT spr round 4 (radius: 20)
[12:39:04 -292708.082737] AUTODETECT spr round 5 (radius: 25)
[12:42:18 -280323.736254] SPR radius for FAST iterations: 25 (autodetect)
[12:42:18 -280323.736254] Model parameter optimization (eps = 3.000000)
[12:42:35 -280258.977497] FAST spr round 1 (radius: 25)
[12:45:00 -252650.698465] FAST spr round 2 (radius: 25)
[12:46:59 -250221.200503] FAST spr round 3 (radius: 25)
[12:48:44 -250086.698635] FAST spr round 4 (radius: 25)
[12:50:18 -250067.857932] FAST spr round 5 (radius: 25)
[12:51:48 -250067.857251] Model parameter optimization (eps = 1.000000)
[12:52:03 -250056.879668] SLOW spr round 1 (radius: 5)
[12:54:00 -250003.941112] SLOW spr round 2 (radius: 5)
[12:55:56 -250000.219974] SLOW spr round 3 (radius: 5)
[12:57:49 -250000.219274] SLOW spr round 4 (radius: 10)
[12:59:43 -249998.200874] SLOW spr round 5 (radius: 5)
[13:01:56 -249993.963359] SLOW spr round 6 (radius: 5)
[13:04:00 -249989.729144] SLOW spr round 7 (radius: 5)
[13:05:55 -249988.630499] SLOW spr round 8 (radius: 5)
[13:07:48 -249988.630479] SLOW spr round 9 (radius: 10)
[13:09:42 -249988.630464] SLOW spr round 10 (radius: 15)
[13:12:56 -249986.572720] SLOW spr round 11 (radius: 5)
[13:15:12 -249984.132647] SLOW spr round 12 (radius: 5)
[13:17:16 -249982.860572] SLOW spr round 13 (radius: 5)
[13:19:12 -249982.860278] SLOW spr round 14 (radius: 10)
[13:21:07 -249982.860276] SLOW spr round 15 (radius: 15)
[13:24:19 -249982.860276] SLOW spr round 16 (radius: 20)
[13:29:25 -249982.860276] SLOW spr round 17 (radius: 25)
[13:35:26 -249965.679834] SLOW spr round 18 (radius: 5)
[13:37:46 -249965.069188] SLOW spr round 19 (radius: 5)
[13:39:51 -249965.069188] SLOW spr round 20 (radius: 10)
[13:41:52 -249965.069188] SLOW spr round 21 (radius: 15)
[13:44:59 -249965.069188] SLOW spr round 22 (radius: 20)
[13:50:08 -249965.069188] SLOW spr round 23 (radius: 25)
[13:56:08 -249965.069188] Model parameter optimization (eps = 0.100000)

[13:56:16] ML tree search #12, logLikelihood: -249964.999290

[13:56:16 -922846.132812] Initial branch length optimization
[13:56:19 -795691.038673] Model parameter optimization (eps = 10.000000)
[13:57:15 -794668.436776] AUTODETECT spr round 1 (radius: 5)
[13:59:15 -571464.862506] AUTODETECT spr round 2 (radius: 10)
[14:01:24 -389098.396231] AUTODETECT spr round 3 (radius: 15)
[14:03:38 -317545.419232] AUTODETECT spr round 4 (radius: 20)
[14:06:08 -300104.504264] AUTODETECT spr round 5 (radius: 25)
[14:09:28 -289619.334719] SPR radius for FAST iterations: 25 (autodetect)
[14:09:28 -289619.334719] Model parameter optimization (eps = 3.000000)
[14:09:42 -289559.921837] FAST spr round 1 (radius: 25)
[14:12:07 -253316.665427] FAST spr round 2 (radius: 25)
[14:14:12 -250546.528991] FAST spr round 3 (radius: 25)
[14:16:01 -250106.291524] FAST spr round 4 (radius: 25)
[14:17:40 -250068.331438] FAST spr round 5 (radius: 25)
[14:19:12 -250065.022699] FAST spr round 6 (radius: 25)
[14:20:42 -250061.670501] FAST spr round 7 (radius: 25)
[14:22:11 -250061.670401] Model parameter optimization (eps = 1.000000)
[14:22:23 -250052.309045] SLOW spr round 1 (radius: 5)
[14:24:18 -249965.407498] SLOW spr round 2 (radius: 5)
[14:26:13 -249961.209540] SLOW spr round 3 (radius: 5)
[14:28:08 -249961.208803] SLOW spr round 4 (radius: 10)
[14:30:01 -249961.208703] SLOW spr round 5 (radius: 15)
[14:33:04 -249961.208671] SLOW spr round 6 (radius: 20)
[14:37:49 -249961.208657] SLOW spr round 7 (radius: 25)
[14:43:32 -249961.208651] Model parameter optimization (eps = 0.100000)

[14:43:38] ML tree search #13, logLikelihood: -249961.123657

[14:43:38 -931385.300457] Initial branch length optimization
[14:43:42 -803344.493209] Model parameter optimization (eps = 10.000000)
[14:44:29 -802144.013719] AUTODETECT spr round 1 (radius: 5)
[14:46:25 -578734.272405] AUTODETECT spr round 2 (radius: 10)
[14:48:35 -399348.351403] AUTODETECT spr round 3 (radius: 15)
[14:50:50 -322410.489252] AUTODETECT spr round 4 (radius: 20)
[14:53:44 -295674.712839] AUTODETECT spr round 5 (radius: 25)
[14:57:25 -287550.487826] SPR radius for FAST iterations: 25 (autodetect)
[14:57:25 -287550.487826] Model parameter optimization (eps = 3.000000)
[14:57:41 -287457.228919] FAST spr round 1 (radius: 25)
[15:00:11 -251953.207511] FAST spr round 2 (radius: 25)
[15:02:07 -250261.527468] FAST spr round 3 (radius: 25)
[15:03:55 -250086.583581] FAST spr round 4 (radius: 25)
[15:05:32 -250068.268161] FAST spr round 5 (radius: 25)
[15:07:04 -250065.242334] FAST spr round 6 (radius: 25)
[15:08:33 -250065.241969] Model parameter optimization (eps = 1.000000)
[15:08:47 -250054.084375] SLOW spr round 1 (radius: 5)
[15:10:47 -249969.248801] SLOW spr round 2 (radius: 5)
[15:12:47 -249940.253547] SLOW spr round 3 (radius: 5)
[15:14:43 -249938.528386] SLOW spr round 4 (radius: 5)
[15:16:37 -249936.515794] SLOW spr round 5 (radius: 5)
[15:18:28 -249936.208571] SLOW spr round 6 (radius: 5)
[15:20:20 -249936.208551] SLOW spr round 7 (radius: 10)
[15:22:13 -249936.208549] SLOW spr round 8 (radius: 15)
[15:25:36 -249936.208549] SLOW spr round 9 (radius: 20)
[15:31:00 -249936.208549] SLOW spr round 10 (radius: 25)
[15:37:18 -249936.208549] Model parameter optimization (eps = 0.100000)

[15:37:23] ML tree search #14, logLikelihood: -249936.127238

[15:37:23 -927396.806492] Initial branch length optimization
[15:37:27 -798022.706564] Model parameter optimization (eps = 10.000000)
[15:38:06 -797006.182179] AUTODETECT spr round 1 (radius: 5)
[15:40:05 -574610.067457] AUTODETECT spr round 2 (radius: 10)
[15:42:17 -392065.300593] AUTODETECT spr round 3 (radius: 15)
[15:44:36 -315413.022490] AUTODETECT spr round 4 (radius: 20)
[15:47:04 -293566.130831] AUTODETECT spr round 5 (radius: 25)
[15:49:52 -285372.439311] SPR radius for FAST iterations: 25 (autodetect)
[15:49:52 -285372.439311] Model parameter optimization (eps = 3.000000)
[15:50:06 -285301.441813] FAST spr round 1 (radius: 25)
[15:52:32 -254250.523086] FAST spr round 2 (radius: 25)
[15:54:30 -250515.857218] FAST spr round 3 (radius: 25)
[15:56:16 -250099.165876] FAST spr round 4 (radius: 25)
[15:57:54 -250080.164993] FAST spr round 5 (radius: 25)
[15:59:26 -250080.164418] Model parameter optimization (eps = 1.000000)
[15:59:41 -250069.785168] SLOW spr round 1 (radius: 5)
[16:01:44 -249993.208167] SLOW spr round 2 (radius: 5)
[16:03:44 -249987.958435] SLOW spr round 3 (radius: 5)
[16:05:41 -249973.746310] SLOW spr round 4 (radius: 5)
[16:07:39 -249963.933199] SLOW spr round 5 (radius: 5)
[16:09:33 -249963.933140] SLOW spr round 6 (radius: 10)
[16:11:26 -249963.933059] SLOW spr round 7 (radius: 15)
[16:14:34 -249963.933059] SLOW spr round 8 (radius: 20)
[16:19:30 -249963.933043] SLOW spr round 9 (radius: 25)
[16:25:41 -249963.933043] Model parameter optimization (eps = 0.100000)

[16:25:46] ML tree search #15, logLikelihood: -249963.887604

[16:25:46 -925425.412081] Initial branch length optimization
[16:25:49 -797784.491134] Model parameter optimization (eps = 10.000000)
[16:26:32 -796641.922598] AUTODETECT spr round 1 (radius: 5)
[16:28:29 -570303.850941] AUTODETECT spr round 2 (radius: 10)
[16:30:41 -392404.930227] AUTODETECT spr round 3 (radius: 15)
[16:32:58 -315207.756356] AUTODETECT spr round 4 (radius: 20)
[16:35:25 -278996.482680] AUTODETECT spr round 5 (radius: 25)
[16:38:29 -274442.737205] SPR radius for FAST iterations: 25 (autodetect)
[16:38:29 -274442.737205] Model parameter optimization (eps = 3.000000)
[16:38:43 -274378.329097] FAST spr round 1 (radius: 25)
[16:41:10 -251518.921853] FAST spr round 2 (radius: 25)
[16:43:05 -250123.434477] FAST spr round 3 (radius: 25)
[16:44:49 -250070.921742] FAST spr round 4 (radius: 25)
[16:46:26 -250060.184298] FAST spr round 5 (radius: 25)
[16:47:57 -250060.184053] Model parameter optimization (eps = 1.000000)
[16:48:12 -250053.177880] SLOW spr round 1 (radius: 5)
[16:50:14 -249988.017635] SLOW spr round 2 (radius: 5)
[16:52:13 -249969.521545] SLOW spr round 3 (radius: 5)
[16:54:09 -249967.877453] SLOW spr round 4 (radius: 5)
[16:56:03 -249967.877438] SLOW spr round 5 (radius: 10)
[16:57:57 -249967.057663] SLOW spr round 6 (radius: 5)
[17:00:10 -249967.057073] SLOW spr round 7 (radius: 10)
[17:02:15 -249967.057071] SLOW spr round 8 (radius: 15)
[17:05:09 -249967.057071] SLOW spr round 9 (radius: 20)
[17:09:55 -249967.057071] SLOW spr round 10 (radius: 25)
[17:15:29 -249967.057071] Model parameter optimization (eps = 0.100000)

[17:15:36] ML tree search #16, logLikelihood: -249966.938718

[17:15:36 -932861.104614] Initial branch length optimization
[17:15:40 -803005.145098] Model parameter optimization (eps = 10.000000)
[17:16:17 -801941.325484] AUTODETECT spr round 1 (radius: 5)
[17:18:14 -568665.838404] AUTODETECT spr round 2 (radius: 10)
[17:20:21 -402885.414571] AUTODETECT spr round 3 (radius: 15)
[17:22:39 -324763.618239] AUTODETECT spr round 4 (radius: 20)
[17:25:30 -295043.081191] AUTODETECT spr round 5 (radius: 25)
[17:28:56 -285960.137953] SPR radius for FAST iterations: 25 (autodetect)
[17:28:56 -285960.137953] Model parameter optimization (eps = 3.000000)
[17:29:10 -285899.700460] FAST spr round 1 (radius: 25)
[17:31:42 -252263.717911] FAST spr round 2 (radius: 25)
[17:33:41 -250453.783576] FAST spr round 3 (radius: 25)
[17:35:28 -250129.197885] FAST spr round 4 (radius: 25)
[17:37:09 -250094.962879] FAST spr round 5 (radius: 25)
[17:38:40 -250094.575711] FAST spr round 6 (radius: 25)
[17:40:09 -250094.575673] Model parameter optimization (eps = 1.000000)
[17:40:23 -250087.023308] SLOW spr round 1 (radius: 5)
[17:42:20 -249986.571610] SLOW spr round 2 (radius: 5)
[17:44:16 -249979.083496] SLOW spr round 3 (radius: 5)
[17:46:11 -249973.033721] SLOW spr round 4 (radius: 5)
[17:48:03 -249973.033316] SLOW spr round 5 (radius: 10)
[17:49:56 -249968.066992] SLOW spr round 6 (radius: 5)
[17:52:08 -249965.470421] SLOW spr round 7 (radius: 5)
[17:54:09 -249962.442772] SLOW spr round 8 (radius: 5)
[17:56:08 -249958.774084] SLOW spr round 9 (radius: 5)
[17:58:02 -249956.503874] SLOW spr round 10 (radius: 5)
[17:59:55 -249956.503546] SLOW spr round 11 (radius: 10)
[18:01:47 -249956.503536] SLOW spr round 12 (radius: 15)
[18:04:55 -249956.503530] SLOW spr round 13 (radius: 20)
[18:10:03 -249956.503530] SLOW spr round 14 (radius: 25)
[18:16:06 -249956.503530] Model parameter optimization (eps = 0.100000)

[18:16:12] ML tree search #17, logLikelihood: -249956.435182

[18:16:12 -928892.789677] Initial branch length optimization
[18:16:15 -798102.195030] Model parameter optimization (eps = 10.000000)
[18:16:57 -797054.948077] AUTODETECT spr round 1 (radius: 5)
[18:18:55 -575026.937464] AUTODETECT spr round 2 (radius: 10)
[18:21:06 -378574.103218] AUTODETECT spr round 3 (radius: 15)
[18:23:20 -311636.020583] AUTODETECT spr round 4 (radius: 20)
[18:25:53 -288613.689824] AUTODETECT spr round 5 (radius: 25)
[18:29:04 -280065.757369] SPR radius for FAST iterations: 25 (autodetect)
[18:29:04 -280065.757369] Model parameter optimization (eps = 3.000000)
[18:29:22 -279960.824350] FAST spr round 1 (radius: 25)
[18:31:42 -251630.106884] FAST spr round 2 (radius: 25)
[18:33:41 -250199.343156] FAST spr round 3 (radius: 25)
[18:35:31 -250079.004678] FAST spr round 4 (radius: 25)
[18:37:08 -250068.000394] FAST spr round 5 (radius: 25)
[18:38:39 -250067.998291] Model parameter optimization (eps = 1.000000)
[18:38:54 -250051.385797] SLOW spr round 1 (radius: 5)
[18:40:54 -249989.233737] SLOW spr round 2 (radius: 5)
[18:42:52 -249973.438040] SLOW spr round 3 (radius: 5)
[18:44:46 -249970.945633] SLOW spr round 4 (radius: 5)
[18:46:38 -249970.944292] SLOW spr round 5 (radius: 10)
[18:48:30 -249970.944048] SLOW spr round 6 (radius: 15)
[18:51:41 -249962.630561] SLOW spr round 7 (radius: 5)
[18:53:57 -249962.229488] SLOW spr round 8 (radius: 5)
[18:55:59 -249962.229445] SLOW spr round 9 (radius: 10)
[18:57:58 -249962.229445] SLOW spr round 10 (radius: 15)
[19:01:01 -249962.229445] SLOW spr round 11 (radius: 20)
[19:05:59 -249962.229445] SLOW spr round 12 (radius: 25)
[19:11:42 -249960.918660] SLOW spr round 13 (radius: 5)
[19:14:02 -249960.678658] SLOW spr round 14 (radius: 5)
[19:16:07 -249960.678484] SLOW spr round 15 (radius: 10)
[19:18:07 -249960.678483] SLOW spr round 16 (radius: 15)
[19:21:09 -249960.678483] SLOW spr round 17 (radius: 20)
[19:26:11 -249960.678483] SLOW spr round 18 (radius: 25)
[19:31:58 -249960.678483] Model parameter optimization (eps = 0.100000)

[19:32:05] ML tree search #18, logLikelihood: -249960.557905

[19:32:05 -934937.155719] Initial branch length optimization
[19:32:09 -804846.052024] Model parameter optimization (eps = 10.000000)
[19:32:49 -803789.902022] AUTODETECT spr round 1 (radius: 5)
[19:34:47 -582451.204197] AUTODETECT spr round 2 (radius: 10)
[19:36:58 -387481.224813] AUTODETECT spr round 3 (radius: 15)
[19:39:19 -308228.162898] AUTODETECT spr round 4 (radius: 20)
[19:42:14 -282073.117983] AUTODETECT spr round 5 (radius: 25)
[19:45:22 -276758.444019] SPR radius for FAST iterations: 25 (autodetect)
[19:45:22 -276758.444019] Model parameter optimization (eps = 3.000000)
[19:45:37 -276679.974822] FAST spr round 1 (radius: 25)
[19:48:01 -251547.066615] FAST spr round 2 (radius: 25)
[19:50:01 -250201.917710] FAST spr round 3 (radius: 25)
[19:51:45 -250123.335450] FAST spr round 4 (radius: 25)
[19:53:24 -250087.553164] FAST spr round 5 (radius: 25)
[19:54:56 -250082.395133] FAST spr round 6 (radius: 25)
[19:56:26 -250082.393296] Model parameter optimization (eps = 1.000000)
[19:56:41 -250076.745292] SLOW spr round 1 (radius: 5)
[19:58:36 -250012.174411] SLOW spr round 2 (radius: 5)
[20:00:31 -250004.436432] SLOW spr round 3 (radius: 5)
[20:02:26 -250004.436298] SLOW spr round 4 (radius: 10)
[20:04:20 -249997.256324] SLOW spr round 5 (radius: 5)
[20:06:36 -249990.561330] SLOW spr round 6 (radius: 5)
[20:08:36 -249990.561282] SLOW spr round 7 (radius: 10)
[20:10:34 -249990.561281] SLOW spr round 8 (radius: 15)
[20:13:45 -249990.127182] SLOW spr round 9 (radius: 5)
[20:16:02 -249989.336382] SLOW spr round 10 (radius: 5)
[20:18:04 -249989.336380] SLOW spr round 11 (radius: 10)
[20:20:03 -249989.336380] SLOW spr round 12 (radius: 15)
[20:23:13 -249989.336380] SLOW spr round 13 (radius: 20)
[20:28:22 -249989.336380] SLOW spr round 14 (radius: 25)
[20:34:29 -249984.076017] SLOW spr round 15 (radius: 5)
[20:36:50 -249978.907292] SLOW spr round 16 (radius: 5)
[20:38:54 -249978.907255] SLOW spr round 17 (radius: 10)
[20:40:55 -249978.907255] SLOW spr round 18 (radius: 15)
[20:44:03 -249978.907255] SLOW spr round 19 (radius: 20)
[20:49:16 -249978.907255] SLOW spr round 20 (radius: 25)
[20:55:22 -249978.907255] Model parameter optimization (eps = 0.100000)

[20:55:31] ML tree search #19, logLikelihood: -249978.778169

[20:55:31 -934084.336970] Initial branch length optimization
[20:55:35 -804911.508212] Model parameter optimization (eps = 10.000000)
[20:56:13 -803937.662320] AUTODETECT spr round 1 (radius: 5)
[20:58:09 -582799.983873] AUTODETECT spr round 2 (radius: 10)
[21:00:21 -400490.466802] AUTODETECT spr round 3 (radius: 15)
[21:02:43 -317694.891528] AUTODETECT spr round 4 (radius: 20)
[21:05:33 -288939.417076] AUTODETECT spr round 5 (radius: 25)
[21:08:43 -283430.566218] SPR radius for FAST iterations: 25 (autodetect)
[21:08:43 -283430.566218] Model parameter optimization (eps = 3.000000)
[21:09:06 -283351.399612] FAST spr round 1 (radius: 25)
[21:11:30 -251964.080730] FAST spr round 2 (radius: 25)
[21:13:29 -250392.744503] FAST spr round 3 (radius: 25)
[21:15:14 -250101.891307] FAST spr round 4 (radius: 25)
[21:16:55 -250074.288315] FAST spr round 5 (radius: 25)
[21:18:27 -250065.684720] FAST spr round 6 (radius: 25)
[21:19:57 -250065.683794] Model parameter optimization (eps = 1.000000)
[21:20:11 -250054.585744] SLOW spr round 1 (radius: 5)
[21:22:07 -250001.561912] SLOW spr round 2 (radius: 5)
[21:24:02 -250000.675752] SLOW spr round 3 (radius: 5)
[21:25:57 -250000.675490] SLOW spr round 4 (radius: 10)
[21:27:50 -250000.675474] SLOW spr round 5 (radius: 15)
[21:30:59 -250000.236561] SLOW spr round 6 (radius: 5)
[21:33:15 -249999.450504] SLOW spr round 7 (radius: 5)
[21:35:18 -249999.450502] SLOW spr round 8 (radius: 10)
[21:37:19 -249999.450502] SLOW spr round 9 (radius: 15)
[21:40:23 -249999.450502] SLOW spr round 10 (radius: 20)
[21:45:08 -249991.724438] SLOW spr round 11 (radius: 5)
[21:47:28 -249990.444844] SLOW spr round 12 (radius: 5)
[21:49:34 -249990.444788] SLOW spr round 13 (radius: 10)
[21:51:36 -249990.444787] SLOW spr round 14 (radius: 15)
[21:54:40 -249990.444787] SLOW spr round 15 (radius: 20)
[21:59:27 -249990.444787] SLOW spr round 16 (radius: 25)
[22:05:00 -249990.444787] Model parameter optimization (eps = 0.100000)

[22:05:05] ML tree search #20, logLikelihood: -249990.390536


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.131036,0.178035) (0.093117,0.483805) (0.413141,0.790685) (0.362706,1.667896) 
   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: -249930.211891

AIC score: 503870.423782 / AICc score: 8547930.423782 / BIC score: 512669.489400
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=595).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P49711/3_mltree/P49711.raxml.log

Analysis started: 15-Jul-2021 02:24:39 / finished: 16-Jul-2021 00:29:44

Elapsed time: 79505.380 seconds