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 06-Jul-2021 15:06:23 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/2_msa/O43374_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/3_mltree/O43374 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/2_msa/O43374_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 568 sites

WARNING: Sequences tr_A0A1D5PAQ9_A0A1D5PAQ9_CHICK_9031 and tr_A0A226N661_A0A226N661_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A1D5PAQ9_A0A1D5PAQ9_CHICK_9031 and tr_A0A226PAY6_A0A226PAY6_COLVI_9014 are exactly identical!
WARNING: Sequences sp_P63318_KPCG_MOUSE_10090 and sp_P63319_KPCG_RAT_10116 are exactly identical!
WARNING: Sequences sp_P68404_KPCB_MOUSE_10090 and sp_P05772_KPCB_RABIT_9986 are exactly identical!
WARNING: Sequences sp_P68404_KPCB_MOUSE_10090 and sp_P68403_KPCB_RAT_10116 are exactly identical!
WARNING: Sequences tr_M3YT95_M3YT95_MUSPF_9669 and tr_A0A2Y9KWD6_A0A2Y9KWD6_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_P05130_KPC1_DROME_7227 and tr_B4HTB4_B4HTB4_DROSE_7238 are exactly identical!
WARNING: Sequences tr_A0A2I3G2E9_A0A2I3G2E9_NOMLE_61853 and tr_A0A2I3NI95_A0A2I3NI95_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3G2E9_A0A2I3G2E9_NOMLE_61853 and tr_A0A2K5YD37_A0A2K5YD37_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_G3R5W0_G3R5W0_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_H2NQF5_H2NQF5_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_H2QAS6_H2QAS6_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_F7I4K8_F7I4K8_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_A0A2I3N8C1_A0A2I3N8C1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_A0A2K5L6M3_A0A2K5L6M3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3HJQ3_A0A2I3HJQ3_NOMLE_61853 and tr_A0A2K6B2U4_A0A2K6B2U4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1QHE4_G1QHE4_NOMLE_61853 and tr_G7PV75_G7PV75_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I2YKG4_A0A2I2YKG4_GORGO_9595 and tr_H2QH30_H2QH30_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2YKG4_A0A2I2YKG4_GORGO_9595 and sp_P05129_KPCG_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2YRH5_A0A2I2YRH5_GORGO_9595 and sp_Q9BQG1_SYT3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QNK0_G3QNK0_GORGO_9595 and sp_Q9Y6V0_PCLO_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RIN3_G3RIN3_GORGO_9595 and tr_A0A096NTX9_A0A096NTX9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3RIN3_G3RIN3_GORGO_9595 and tr_A0A2K5LMT6_A0A2K5LMT6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3RIN3_G3RIN3_GORGO_9595 and tr_A0A2K6CYI9_A0A2K6CYI9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_E2R2X3_E2R2X3_CANLF_9615 and tr_D2HYP8_D2HYP8_AILME_9646 are exactly identical!
WARNING: Sequences tr_E2R2X3_E2R2X3_CANLF_9615 and tr_M3VWV6_M3VWV6_FELCA_9685 are exactly identical!
WARNING: Sequences tr_E2R2X3_E2R2X3_CANLF_9615 and tr_A0A2U3WL05_A0A2U3WL05_ODORO_9708 are exactly identical!
WARNING: Sequences tr_E2R2X3_E2R2X3_CANLF_9615 and tr_A0A2Y9IG42_A0A2Y9IG42_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_E2R521_E2R521_CANLF_9615 and tr_G1M2R5_G1M2R5_AILME_9646 are exactly identical!
WARNING: Sequences tr_E2R521_E2R521_CANLF_9615 and tr_M3WNT1_M3WNT1_FELCA_9685 are exactly identical!
WARNING: Sequences tr_E2R521_E2R521_CANLF_9615 and tr_A0A2U3WLZ8_A0A2U3WLZ8_ODORO_9708 are exactly identical!
WARNING: Sequences tr_E2R521_E2R521_CANLF_9615 and tr_A0A2Y9L0S9_A0A2Y9L0S9_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_P05696_KPCA_RAT_10116 and tr_A0A1U7QLD2_A0A1U7QLD2_MESAU_10036 are exactly identical!
WARNING: Sequences tr_M4AXV3_M4AXV3_XIPMA_8083 and tr_A0A087XWF3_A0A087XWF3_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A158P293_A0A158P293_ATTCE_12957 and tr_A0A151I099_A0A151I099_9HYME_520822 are exactly identical!
WARNING: Sequences sp_C9J798_RAS4B_HUMAN_9606 and sp_O43374_RASL2_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_P05771_KPCB_HUMAN_9606 and tr_F7BYI4_F7BYI4_MACMU_9544 are exactly identical!
WARNING: Sequences sp_P05771_KPCB_HUMAN_9606 and tr_A0A0D9R2T7_A0A0D9R2T7_CHLSB_60711 are exactly identical!
WARNING: Sequences sp_Q14644_RASA3_HUMAN_9606 and tr_A0A2R9APU9_A0A2R9APU9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0H5SPI7_A0A0H5SPI7_BRUMA_6279 and tr_A0A0R3R0T2_A0A0R3R0T2_9BILA_42155 are exactly identical!
WARNING: Sequences tr_A0A1D5R7T9_A0A1D5R7T9_MACMU_9544 and tr_A0A2I3LWE8_A0A2I3LWE8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5R7T9_A0A1D5R7T9_MACMU_9544 and tr_A0A2K5NCN7_A0A2K5NCN7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5R7T9_A0A1D5R7T9_MACMU_9544 and tr_A0A2K6CE51_A0A2K6CE51_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6SWS4_F6SWS4_MACMU_9544 and tr_A0A096N663_A0A096N663_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6SWS4_F6SWS4_MACMU_9544 and tr_A0A0D9RXT8_A0A0D9RXT8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6SWS4_F6SWS4_MACMU_9544 and tr_A0A2K5M4N5_A0A2K5M4N5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6SWS4_F6SWS4_MACMU_9544 and tr_A0A2K6DMP2_A0A2K6DMP2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7H3B3_F7H3B3_MACMU_9544 and tr_F6W4P5_F6W4P5_CALJA_9483 are exactly identical!
WARNING: Sequences tr_F7H3B3_F7H3B3_MACMU_9544 and tr_A0A0D9S5H3_A0A0D9S5H3_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7H3B3_F7H3B3_MACMU_9544 and tr_A0A2K5M7E0_A0A2K5M7E0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7H3B3_F7H3B3_MACMU_9544 and tr_A0A2K6CYX1_A0A2K6CYX1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7Q0R2_G7Q0R2_MACFA_9541 and tr_A0A2R9B4X0_A0A2R9B4X0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0A0MVP0_A0A0A0MVP0_PAPAN_9555 and tr_A0A2K5LZ34_A0A2K5LZ34_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A094EEW7_A0A094EEW7_9PEZI_1420912 and tr_A0A1B8G9B8_A0A1B8G9B8_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A0N0PDY1_A0A0N0PDY1_PAPMA_76193 and tr_A0A194PUL4_A0A194PUL4_PAPXU_66420 are exactly identical!
WARNING: Sequences tr_A0A2I4ASP5_A0A2I4ASP5_9TELE_52670 and tr_A0A2I4D2Y4_A0A2I4D2Y4_9TELE_52670 are exactly identical!
WARNING: Duplicate sequences found: 56

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/O43374/3_mltree/O43374.raxml.reduced.phy

Alignment comprises 1 partitions and 568 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 568 / 568
Gaps: 26.46 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/3_mltree/O43374.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 / 82 / 6560
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -902910.738769] Initial branch length optimization
[00:00:03 -714382.001857] Model parameter optimization (eps = 10.000000)
[00:00:41 -710369.089164] AUTODETECT spr round 1 (radius: 5)
[00:02:16 -457645.774918] AUTODETECT spr round 2 (radius: 10)
[00:03:55 -311357.909064] AUTODETECT spr round 3 (radius: 15)
[00:05:38 -236415.837553] AUTODETECT spr round 4 (radius: 20)
[00:07:35 -206937.076270] AUTODETECT spr round 5 (radius: 25)
[00:09:50 -193618.524580] SPR radius for FAST iterations: 25 (autodetect)
[00:09:50 -193618.524580] Model parameter optimization (eps = 3.000000)
[00:10:24 -193097.093556] FAST spr round 1 (radius: 25)
[00:12:25 -170431.346893] FAST spr round 2 (radius: 25)
[00:14:02 -169480.277431] FAST spr round 3 (radius: 25)
[00:15:28 -169419.008482] FAST spr round 4 (radius: 25)
[00:16:50 -169407.436753] FAST spr round 5 (radius: 25)
[00:18:09 -169407.413247] Model parameter optimization (eps = 1.000000)
[00:18:24 -169376.402900] SLOW spr round 1 (radius: 5)
[00:20:06 -169313.583219] SLOW spr round 2 (radius: 5)
[00:21:43 -169310.043773] SLOW spr round 3 (radius: 5)
[00:23:19 -169308.201592] SLOW spr round 4 (radius: 5)
[00:24:52 -169308.146942] SLOW spr round 5 (radius: 10)
[00:26:28 -169298.075168] SLOW spr round 6 (radius: 5)
[00:28:20 -169297.639537] SLOW spr round 7 (radius: 5)
[00:30:02 -169297.639450] SLOW spr round 8 (radius: 10)
[00:31:38 -169297.639392] SLOW spr round 9 (radius: 15)
[00:33:50 -169297.639336] SLOW spr round 10 (radius: 20)
[00:36:55 -169297.639279] SLOW spr round 11 (radius: 25)
[00:40:43 -169297.639223] Model parameter optimization (eps = 0.100000)

[00:40:50] ML tree search #1, logLikelihood: -169297.327773

[00:40:50 -897975.234748] Initial branch length optimization
[00:40:53 -709647.222370] Model parameter optimization (eps = 10.000000)
[00:41:32 -705639.718927] AUTODETECT spr round 1 (radius: 5)
[00:43:06 -462296.438800] AUTODETECT spr round 2 (radius: 10)
[00:44:47 -314116.670819] AUTODETECT spr round 3 (radius: 15)
[00:46:31 -248428.020321] AUTODETECT spr round 4 (radius: 20)
[00:48:36 -216748.475145] AUTODETECT spr round 5 (radius: 25)
[00:51:00 -201557.387667] SPR radius for FAST iterations: 25 (autodetect)
[00:51:00 -201557.387667] Model parameter optimization (eps = 3.000000)
[00:51:27 -201080.067541] FAST spr round 1 (radius: 25)
[00:53:17 -171108.605249] FAST spr round 2 (radius: 25)
[00:54:53 -169498.127451] FAST spr round 3 (radius: 25)
[00:56:19 -169331.716410] FAST spr round 4 (radius: 25)
[00:57:41 -169322.403759] FAST spr round 5 (radius: 25)
[00:58:58 -169322.402756] Model parameter optimization (eps = 1.000000)
[00:59:10 -169315.604185] SLOW spr round 1 (radius: 5)
[01:00:48 -169291.818114] SLOW spr round 2 (radius: 5)
[01:02:25 -169290.808562] SLOW spr round 3 (radius: 5)
[01:04:00 -169290.808457] SLOW spr round 4 (radius: 10)
[01:05:34 -169288.726109] SLOW spr round 5 (radius: 5)
[01:07:25 -169288.724282] SLOW spr round 6 (radius: 10)
[01:09:07 -169288.724003] SLOW spr round 7 (radius: 15)
[01:11:14 -169286.965648] SLOW spr round 8 (radius: 5)
[01:13:10 -169286.963194] SLOW spr round 9 (radius: 10)
[01:14:55 -169286.963142] SLOW spr round 10 (radius: 15)
[01:17:01 -169286.963091] SLOW spr round 11 (radius: 20)
[01:19:55 -169286.963039] SLOW spr round 12 (radius: 25)
[01:23:30 -169286.962987] Model parameter optimization (eps = 0.100000)

[01:23:36] ML tree search #2, logLikelihood: -169286.853478

[01:23:36 -907360.449150] Initial branch length optimization
[01:23:39 -718621.155926] Model parameter optimization (eps = 10.000000)
[01:24:19 -714566.401480] AUTODETECT spr round 1 (radius: 5)
[01:25:54 -451955.345829] AUTODETECT spr round 2 (radius: 10)
[01:27:33 -303417.815132] AUTODETECT spr round 3 (radius: 15)
[01:29:16 -233570.371241] AUTODETECT spr round 4 (radius: 20)
[01:31:15 -206893.847829] AUTODETECT spr round 5 (radius: 25)
[01:33:33 -198624.234867] SPR radius for FAST iterations: 25 (autodetect)
[01:33:33 -198624.234867] Model parameter optimization (eps = 3.000000)
[01:33:56 -198127.305776] FAST spr round 1 (radius: 25)
[01:35:45 -170718.761126] FAST spr round 2 (radius: 25)
[01:37:18 -169468.987042] FAST spr round 3 (radius: 25)
[01:38:44 -169401.090026] FAST spr round 4 (radius: 25)
[01:40:05 -169381.822011] FAST spr round 5 (radius: 25)
[01:41:23 -169381.789461] Model parameter optimization (eps = 1.000000)
[01:41:37 -169374.858214] SLOW spr round 1 (radius: 5)
[01:43:17 -169330.710220] SLOW spr round 2 (radius: 5)
[01:44:55 -169321.882998] SLOW spr round 3 (radius: 5)
[01:46:30 -169321.881311] SLOW spr round 4 (radius: 10)
[01:48:03 -169321.519275] SLOW spr round 5 (radius: 5)
[01:49:56 -169317.940702] SLOW spr round 6 (radius: 5)
[01:51:39 -169316.524416] SLOW spr round 7 (radius: 5)
[01:53:15 -169316.524286] SLOW spr round 8 (radius: 10)
[01:54:50 -169316.524214] SLOW spr round 9 (radius: 15)
[01:57:09 -169314.983705] SLOW spr round 10 (radius: 5)
[01:59:04 -169314.983567] SLOW spr round 11 (radius: 10)
[02:00:52 -169309.092788] SLOW spr round 12 (radius: 5)
[02:02:43 -169303.581749] SLOW spr round 13 (radius: 5)
[02:04:24 -169303.581640] SLOW spr round 14 (radius: 10)
[02:06:00 -169299.131119] SLOW spr round 15 (radius: 5)
[02:07:50 -169299.130947] SLOW spr round 16 (radius: 10)
[02:09:32 -169299.130850] SLOW spr round 17 (radius: 15)
[02:11:44 -169298.572075] SLOW spr round 18 (radius: 5)
[02:13:40 -169298.321752] SLOW spr round 19 (radius: 5)
[02:15:24 -169298.321166] SLOW spr round 20 (radius: 10)
[02:17:02 -169298.321068] SLOW spr round 21 (radius: 15)
[02:19:15 -169298.320994] SLOW spr round 22 (radius: 20)
[02:22:20 -169298.320921] SLOW spr round 23 (radius: 25)
[02:26:08 -169298.320853] Model parameter optimization (eps = 0.100000)

[02:26:15] ML tree search #3, logLikelihood: -169298.165195

[02:26:15 -889096.222284] Initial branch length optimization
[02:26:18 -703599.217295] Model parameter optimization (eps = 10.000000)
[02:27:04 -699599.284233] AUTODETECT spr round 1 (radius: 5)
[02:28:38 -451676.210398] AUTODETECT spr round 2 (radius: 10)
[02:30:17 -311725.414619] AUTODETECT spr round 3 (radius: 15)
[02:32:02 -252731.189004] AUTODETECT spr round 4 (radius: 20)
[02:34:10 -215044.743654] AUTODETECT spr round 5 (radius: 25)
[02:36:45 -197569.564834] SPR radius for FAST iterations: 25 (autodetect)
[02:36:45 -197569.564834] Model parameter optimization (eps = 3.000000)
[02:37:13 -197147.056295] FAST spr round 1 (radius: 25)
[02:39:24 -170869.669532] FAST spr round 2 (radius: 25)
[02:41:13 -169476.657810] FAST spr round 3 (radius: 25)
[02:42:54 -169407.096884] FAST spr round 4 (radius: 25)
[02:44:27 -169396.656754] FAST spr round 5 (radius: 25)
[02:45:58 -169396.656572] Model parameter optimization (eps = 1.000000)
[02:46:16 -169374.075772] SLOW spr round 1 (radius: 5)
[02:48:13 -169326.524968] SLOW spr round 2 (radius: 5)
[02:50:07 -169313.451484] SLOW spr round 3 (radius: 5)
[02:52:00 -169312.775777] SLOW spr round 4 (radius: 5)
[02:53:50 -169312.773881] SLOW spr round 5 (radius: 10)
[02:55:41 -169310.279710] SLOW spr round 6 (radius: 5)
[02:57:53 -169310.278289] SLOW spr round 7 (radius: 10)
[02:59:53 -169310.277888] SLOW spr round 8 (radius: 15)
[03:02:26 -169308.536485] SLOW spr round 9 (radius: 5)
[03:04:42 -169308.536096] SLOW spr round 10 (radius: 10)
[03:06:47 -169308.536024] SLOW spr round 11 (radius: 15)
[03:09:19 -169308.467361] SLOW spr round 12 (radius: 20)
[03:12:56 -169308.467183] SLOW spr round 13 (radius: 25)
[03:16:44 -169308.467046] Model parameter optimization (eps = 0.100000)

[03:16:50] ML tree search #4, logLikelihood: -169308.352652

[03:16:50 -896961.261544] Initial branch length optimization
[03:16:54 -709361.420125] Model parameter optimization (eps = 10.000000)
[03:17:40 -705367.452314] AUTODETECT spr round 1 (radius: 5)
[03:19:15 -454521.216717] AUTODETECT spr round 2 (radius: 10)
[03:20:55 -308078.578340] AUTODETECT spr round 3 (radius: 15)
[03:22:39 -248812.180575] AUTODETECT spr round 4 (radius: 20)
[03:24:36 -221600.111394] AUTODETECT spr round 5 (radius: 25)
[03:26:47 -201015.088811] SPR radius for FAST iterations: 25 (autodetect)
[03:26:47 -201015.088811] Model parameter optimization (eps = 3.000000)
[03:27:14 -200617.043720] FAST spr round 1 (radius: 25)
[03:29:11 -171325.887719] FAST spr round 2 (radius: 25)
[03:30:48 -169423.388836] FAST spr round 3 (radius: 25)
[03:32:15 -169362.363013] FAST spr round 4 (radius: 25)
[03:33:38 -169350.116692] FAST spr round 5 (radius: 25)
[03:34:56 -169347.707071] FAST spr round 6 (radius: 25)
[03:36:12 -169347.704738] Model parameter optimization (eps = 1.000000)
[03:36:23 -169340.529437] SLOW spr round 1 (radius: 5)
[03:38:01 -169309.262785] SLOW spr round 2 (radius: 5)
[03:39:37 -169308.254829] SLOW spr round 3 (radius: 5)
[03:41:11 -169306.048910] SLOW spr round 4 (radius: 5)
[03:42:44 -169306.036914] SLOW spr round 5 (radius: 10)
[03:44:16 -169305.870740] SLOW spr round 6 (radius: 5)
[03:46:06 -169305.869238] SLOW spr round 7 (radius: 10)
[03:47:48 -169305.867744] SLOW spr round 8 (radius: 15)
[03:49:55 -169304.615552] SLOW spr round 9 (radius: 5)
[03:51:49 -169304.327390] SLOW spr round 10 (radius: 5)
[03:53:32 -169303.078181] SLOW spr round 11 (radius: 5)
[03:55:09 -169303.077869] SLOW spr round 12 (radius: 10)
[03:56:43 -169301.914366] SLOW spr round 13 (radius: 5)
[03:58:33 -169301.913499] SLOW spr round 14 (radius: 10)
[04:00:14 -169301.913323] SLOW spr round 15 (radius: 15)
[04:02:21 -169301.913269] SLOW spr round 16 (radius: 20)
[04:05:16 -169301.913237] SLOW spr round 17 (radius: 25)
[04:08:52 -169301.913207] Model parameter optimization (eps = 0.100000)

[04:08:56] ML tree search #5, logLikelihood: -169301.905147

[04:08:56 -888768.523793] Initial branch length optimization
[04:08:59 -705081.567228] Model parameter optimization (eps = 10.000000)
[04:09:41 -701386.788168] AUTODETECT spr round 1 (radius: 5)
[04:11:16 -435472.273877] AUTODETECT spr round 2 (radius: 10)
[04:12:55 -305632.344103] AUTODETECT spr round 3 (radius: 15)
[04:14:41 -244137.753779] AUTODETECT spr round 4 (radius: 20)
[04:16:36 -206777.136507] AUTODETECT spr round 5 (radius: 25)
[04:18:37 -197009.899316] SPR radius for FAST iterations: 25 (autodetect)
[04:18:37 -197009.899316] Model parameter optimization (eps = 3.000000)
[04:18:59 -196525.623858] FAST spr round 1 (radius: 25)
[04:20:49 -171324.251939] FAST spr round 2 (radius: 25)
[04:22:20 -169465.150926] FAST spr round 3 (radius: 25)
[04:23:45 -169396.404348] FAST spr round 4 (radius: 25)
[04:25:05 -169376.097952] FAST spr round 5 (radius: 25)
[04:26:22 -169375.056039] FAST spr round 6 (radius: 25)
[04:27:37 -169375.055932] Model parameter optimization (eps = 1.000000)
[04:27:52 -169351.469181] SLOW spr round 1 (radius: 5)
[04:29:28 -169306.682249] SLOW spr round 2 (radius: 5)
[04:31:02 -169295.463638] SLOW spr round 3 (radius: 5)
[04:32:35 -169292.056566] SLOW spr round 4 (radius: 5)
[04:34:06 -169291.954645] SLOW spr round 5 (radius: 5)
[04:35:37 -169291.954330] SLOW spr round 6 (radius: 10)
[04:37:08 -169283.931575] SLOW spr round 7 (radius: 5)
[04:38:58 -169283.876378] SLOW spr round 8 (radius: 10)
[04:40:38 -169283.875751] SLOW spr round 9 (radius: 15)
[04:42:45 -169283.875714] SLOW spr round 10 (radius: 20)
[04:45:55 -169282.115625] SLOW spr round 11 (radius: 5)
[04:47:50 -169282.112970] SLOW spr round 12 (radius: 10)
[04:49:37 -169282.112969] SLOW spr round 13 (radius: 15)
[04:51:43 -169282.112969] SLOW spr round 14 (radius: 20)
[04:54:53 -169282.112968] SLOW spr round 15 (radius: 25)
[04:58:44 -169282.112967] Model parameter optimization (eps = 0.100000)

[04:58:48] ML tree search #6, logLikelihood: -169282.019074

[04:58:49 -900060.546669] Initial branch length optimization
[04:58:52 -710454.980692] Model parameter optimization (eps = 10.000000)
[04:59:36 -706346.906646] AUTODETECT spr round 1 (radius: 5)
[05:01:09 -444462.474766] AUTODETECT spr round 2 (radius: 10)
[05:02:48 -305450.631064] AUTODETECT spr round 3 (radius: 15)
[05:04:34 -237240.009384] AUTODETECT spr round 4 (radius: 20)
[05:06:40 -208282.393734] AUTODETECT spr round 5 (radius: 25)
[05:08:56 -203176.303194] SPR radius for FAST iterations: 25 (autodetect)
[05:08:56 -203176.303194] Model parameter optimization (eps = 3.000000)
[05:09:19 -202702.009361] FAST spr round 1 (radius: 25)
[05:11:09 -171116.404289] FAST spr round 2 (radius: 25)
[05:12:39 -169506.658144] FAST spr round 3 (radius: 25)
[05:14:02 -169364.210681] FAST spr round 4 (radius: 25)
[05:15:22 -169355.107484] FAST spr round 5 (radius: 25)
[05:16:37 -169355.104088] Model parameter optimization (eps = 1.000000)
[05:16:49 -169343.848305] SLOW spr round 1 (radius: 5)
[05:18:25 -169303.566888] SLOW spr round 2 (radius: 5)
[05:20:00 -169301.713942] SLOW spr round 3 (radius: 5)
[05:21:32 -169301.712998] SLOW spr round 4 (radius: 10)
[05:23:05 -169296.152812] SLOW spr round 5 (radius: 5)
[05:24:54 -169295.713246] SLOW spr round 6 (radius: 5)
[05:26:33 -169295.713092] SLOW spr round 7 (radius: 10)
[05:28:08 -169295.713072] SLOW spr round 8 (radius: 15)
[05:30:14 -169289.840393] SLOW spr round 9 (radius: 5)
[05:32:07 -169287.492892] SLOW spr round 10 (radius: 5)
[05:33:49 -169287.492524] SLOW spr round 11 (radius: 10)
[05:35:25 -169287.492437] SLOW spr round 12 (radius: 15)
[05:37:28 -169287.492435] SLOW spr round 13 (radius: 20)
[05:40:13 -169287.492434] SLOW spr round 14 (radius: 25)
[05:43:38 -169287.492433] Model parameter optimization (eps = 0.100000)

[05:43:44] ML tree search #7, logLikelihood: -169287.340967

[05:43:44 -902727.142446] Initial branch length optimization
[05:43:47 -708875.908426] Model parameter optimization (eps = 10.000000)
[05:44:53 -704576.307501] AUTODETECT spr round 1 (radius: 5)
[05:46:27 -445585.354704] AUTODETECT spr round 2 (radius: 10)
[05:48:04 -307028.629606] AUTODETECT spr round 3 (radius: 15)
[05:49:47 -235363.752619] AUTODETECT spr round 4 (radius: 20)
[05:51:38 -211322.401658] AUTODETECT spr round 5 (radius: 25)
[05:53:51 -200716.933092] SPR radius for FAST iterations: 25 (autodetect)
[05:53:51 -200716.933092] Model parameter optimization (eps = 3.000000)
[05:54:15 -199964.227319] FAST spr round 1 (radius: 25)
[05:56:11 -170872.397588] FAST spr round 2 (radius: 25)
[05:57:42 -169437.898810] FAST spr round 3 (radius: 25)
[05:59:06 -169365.198364] FAST spr round 4 (radius: 25)
[06:00:25 -169346.479213] FAST spr round 5 (radius: 25)
[06:01:40 -169344.645344] FAST spr round 6 (radius: 25)
[06:02:53 -169344.645256] Model parameter optimization (eps = 1.000000)
[06:03:04 -169336.196091] SLOW spr round 1 (radius: 5)
[06:04:38 -169308.020185] SLOW spr round 2 (radius: 5)
[06:06:11 -169307.543892] SLOW spr round 3 (radius: 5)
[06:07:42 -169307.543724] SLOW spr round 4 (radius: 10)
[06:09:12 -169305.748460] SLOW spr round 5 (radius: 5)
[06:11:01 -169305.743816] SLOW spr round 6 (radius: 10)
[06:12:39 -169305.743732] SLOW spr round 7 (radius: 15)
[06:14:43 -169305.608920] SLOW spr round 8 (radius: 5)
[06:16:36 -169305.106707] SLOW spr round 9 (radius: 5)
[06:18:18 -169301.562214] SLOW spr round 10 (radius: 5)
[06:19:57 -169293.166150] SLOW spr round 11 (radius: 5)
[06:21:29 -169293.165629] SLOW spr round 12 (radius: 10)
[06:23:00 -169293.040214] SLOW spr round 13 (radius: 5)
[06:24:48 -169293.039783] SLOW spr round 14 (radius: 10)
[06:26:27 -169293.039737] SLOW spr round 15 (radius: 15)
[06:28:32 -169293.039702] SLOW spr round 16 (radius: 20)
[06:31:27 -169293.039668] SLOW spr round 17 (radius: 25)
[06:35:04 -169293.039632] Model parameter optimization (eps = 0.100000)

[06:35:08] ML tree search #8, logLikelihood: -169292.966137

[06:35:08 -893842.643258] Initial branch length optimization
[06:35:11 -704090.158807] Model parameter optimization (eps = 10.000000)
[06:36:05 -700252.743390] AUTODETECT spr round 1 (radius: 5)
[06:37:37 -452335.566669] AUTODETECT spr round 2 (radius: 10)
[06:39:14 -308809.016624] AUTODETECT spr round 3 (radius: 15)
[06:40:59 -241949.832310] AUTODETECT spr round 4 (radius: 20)
[06:42:53 -207196.388444] AUTODETECT spr round 5 (radius: 25)
[06:45:07 -199518.357275] SPR radius for FAST iterations: 25 (autodetect)
[06:45:07 -199518.357275] Model parameter optimization (eps = 3.000000)
[06:45:29 -199069.390419] FAST spr round 1 (radius: 25)
[06:47:23 -170234.749890] FAST spr round 2 (radius: 25)
[06:48:56 -169433.298585] FAST spr round 3 (radius: 25)
[06:50:22 -169387.563401] FAST spr round 4 (radius: 25)
[06:51:42 -169368.631078] FAST spr round 5 (radius: 25)
[06:52:59 -169366.876270] FAST spr round 6 (radius: 25)
[06:54:12 -169366.873395] Model parameter optimization (eps = 1.000000)
[06:54:25 -169359.540064] SLOW spr round 1 (radius: 5)
[06:56:01 -169324.020657] SLOW spr round 2 (radius: 5)
[06:57:37 -169308.639339] SLOW spr round 3 (radius: 5)
[06:59:11 -169305.072537] SLOW spr round 4 (radius: 5)
[07:00:43 -169302.763511] SLOW spr round 5 (radius: 5)
[07:02:14 -169302.762149] SLOW spr round 6 (radius: 10)
[07:03:46 -169301.692962] SLOW spr round 7 (radius: 5)
[07:05:34 -169301.504394] SLOW spr round 8 (radius: 5)
[07:07:13 -169301.502890] SLOW spr round 9 (radius: 10)
[07:08:47 -169301.502695] SLOW spr round 10 (radius: 15)
[07:10:59 -169299.860004] SLOW spr round 11 (radius: 5)
[07:12:52 -169299.854966] SLOW spr round 12 (radius: 10)
[07:14:36 -169297.365619] SLOW spr round 13 (radius: 5)
[07:16:23 -169296.594069] SLOW spr round 14 (radius: 5)
[07:18:01 -169296.593857] SLOW spr round 15 (radius: 10)
[07:19:34 -169296.593644] SLOW spr round 16 (radius: 15)
[07:21:46 -169296.593575] SLOW spr round 17 (radius: 20)
[07:24:45 -169296.593507] SLOW spr round 18 (radius: 25)
[07:28:26 -169296.593438] Model parameter optimization (eps = 0.100000)

[07:28:35] ML tree search #9, logLikelihood: -169296.212181

[07:28:35 -889407.547336] Initial branch length optimization
[07:28:39 -698566.661529] Model parameter optimization (eps = 10.000000)
[07:29:26 -694583.630790] AUTODETECT spr round 1 (radius: 5)
[07:30:58 -449416.840368] AUTODETECT spr round 2 (radius: 10)
[07:32:36 -308747.401210] AUTODETECT spr round 3 (radius: 15)
[07:34:17 -243926.236050] AUTODETECT spr round 4 (radius: 20)
[07:36:14 -217374.429870] AUTODETECT spr round 5 (radius: 25)
[07:38:31 -209032.493935] SPR radius for FAST iterations: 25 (autodetect)
[07:38:31 -209032.493935] Model parameter optimization (eps = 3.000000)
[07:38:49 -208605.500390] FAST spr round 1 (radius: 25)
[07:40:35 -173544.361094] FAST spr round 2 (radius: 25)
[07:42:05 -169580.942114] FAST spr round 3 (radius: 25)
[07:43:29 -169377.002164] FAST spr round 4 (radius: 25)
[07:44:49 -169349.850113] FAST spr round 5 (radius: 25)
[07:46:06 -169343.269148] FAST spr round 6 (radius: 25)
[07:47:20 -169343.266636] Model parameter optimization (eps = 1.000000)
[07:47:33 -169330.884946] SLOW spr round 1 (radius: 5)
[07:49:08 -169302.650860] SLOW spr round 2 (radius: 5)
[07:50:42 -169301.958512] SLOW spr round 3 (radius: 5)
[07:52:14 -169301.958364] SLOW spr round 4 (radius: 10)
[07:53:46 -169300.745393] SLOW spr round 5 (radius: 5)
[07:55:35 -169300.743945] SLOW spr round 6 (radius: 10)
[07:57:15 -169300.743887] SLOW spr round 7 (radius: 15)
[07:59:20 -169300.511312] SLOW spr round 8 (radius: 5)
[08:01:14 -169297.125418] SLOW spr round 9 (radius: 5)
[08:02:56 -169297.123459] SLOW spr round 10 (radius: 10)
[08:04:30 -169297.123276] SLOW spr round 11 (radius: 15)
[08:06:37 -169297.123212] SLOW spr round 12 (radius: 20)
[08:09:29 -169297.123160] SLOW spr round 13 (radius: 25)
[08:13:02 -169297.123109] Model parameter optimization (eps = 0.100000)

[08:13:08] ML tree search #10, logLikelihood: -169297.088555

[08:13:08 -898699.664665] Initial branch length optimization
[08:13:11 -707356.590696] Model parameter optimization (eps = 10.000000)
[08:13:51 -703291.944934] AUTODETECT spr round 1 (radius: 5)
[08:15:22 -449183.494964] AUTODETECT spr round 2 (radius: 10)
[08:16:58 -309818.734257] AUTODETECT spr round 3 (radius: 15)
[08:18:41 -237887.708350] AUTODETECT spr round 4 (radius: 20)
[08:20:48 -213631.747518] AUTODETECT spr round 5 (radius: 25)
[08:23:29 -207707.399315] SPR radius for FAST iterations: 25 (autodetect)
[08:23:30 -207707.399315] Model parameter optimization (eps = 3.000000)
[08:23:58 -207242.477605] FAST spr round 1 (radius: 25)
[08:26:12 -171411.062772] FAST spr round 2 (radius: 25)
[08:27:58 -169483.366411] FAST spr round 3 (radius: 25)
[08:29:38 -169391.398054] FAST spr round 4 (radius: 25)
[08:31:09 -169382.795096] FAST spr round 5 (radius: 25)
[08:32:34 -169382.783188] Model parameter optimization (eps = 1.000000)
[08:32:48 -169372.366156] SLOW spr round 1 (radius: 5)
[08:34:38 -169316.144086] SLOW spr round 2 (radius: 5)
[08:36:26 -169305.881967] SLOW spr round 3 (radius: 5)
[08:38:13 -169305.122630] SLOW spr round 4 (radius: 5)
[08:39:54 -169305.122133] SLOW spr round 5 (radius: 10)
[08:41:36 -169305.121949] SLOW spr round 6 (radius: 15)
[08:44:01 -169305.121805] SLOW spr round 7 (radius: 20)
[08:47:06 -169305.121669] SLOW spr round 8 (radius: 25)
[08:51:01 -169305.121534] Model parameter optimization (eps = 0.100000)

[08:51:07] ML tree search #11, logLikelihood: -169304.297954

[08:51:08 -900344.715602] Initial branch length optimization
[08:51:11 -708025.350073] Model parameter optimization (eps = 10.000000)
[08:51:55 -703980.186799] AUTODETECT spr round 1 (radius: 5)
[08:53:38 -439071.286691] AUTODETECT spr round 2 (radius: 10)
[08:55:25 -307802.247146] AUTODETECT spr round 3 (radius: 15)
[08:57:20 -238647.868696] AUTODETECT spr round 4 (radius: 20)
[08:59:24 -214892.636283] AUTODETECT spr round 5 (radius: 25)
[09:01:57 -201271.540834] SPR radius for FAST iterations: 25 (autodetect)
[09:01:57 -201271.540834] Model parameter optimization (eps = 3.000000)
[09:02:18 -200838.539246] FAST spr round 1 (radius: 25)
[09:04:23 -171357.331487] FAST spr round 2 (radius: 25)
[09:06:10 -169435.800648] FAST spr round 3 (radius: 25)
[09:07:45 -169392.513549] FAST spr round 4 (radius: 25)
[09:09:16 -169365.757633] FAST spr round 5 (radius: 25)
[09:10:43 -169365.413942] FAST spr round 6 (radius: 25)
[09:12:07 -169365.010819] FAST spr round 7 (radius: 25)
[09:13:32 -169365.010233] Model parameter optimization (eps = 1.000000)
[09:13:45 -169356.335818] SLOW spr round 1 (radius: 5)
[09:15:35 -169319.154804] SLOW spr round 2 (radius: 5)
[09:17:22 -169313.547024] SLOW spr round 3 (radius: 5)
[09:19:06 -169310.987695] SLOW spr round 4 (radius: 5)
[09:20:50 -169308.265224] SLOW spr round 5 (radius: 5)
[09:22:33 -169308.264548] SLOW spr round 6 (radius: 10)
[09:24:16 -169305.482816] SLOW spr round 7 (radius: 5)
[09:26:18 -169305.482193] SLOW spr round 8 (radius: 10)
[09:28:10 -169305.482101] SLOW spr round 9 (radius: 15)
[09:30:26 -169303.737037] SLOW spr round 10 (radius: 5)
[09:32:33 -169303.736557] SLOW spr round 11 (radius: 10)
[09:34:28 -169303.736501] SLOW spr round 12 (radius: 15)
[09:36:43 -169302.552766] SLOW spr round 13 (radius: 5)
[09:38:49 -169302.251530] SLOW spr round 14 (radius: 5)
[09:40:44 -169300.211465] SLOW spr round 15 (radius: 5)
[09:42:31 -169300.082488] SLOW spr round 16 (radius: 5)
[09:44:14 -169299.859187] SLOW spr round 17 (radius: 5)
[09:45:56 -169299.858259] SLOW spr round 18 (radius: 10)
[09:47:38 -169299.858041] SLOW spr round 19 (radius: 15)
[09:50:01 -169299.857941] SLOW spr round 20 (radius: 20)
[09:53:07 -169299.857863] SLOW spr round 21 (radius: 25)
[09:57:02 -169299.857709] Model parameter optimization (eps = 0.100000)

[09:57:08] ML tree search #12, logLikelihood: -169299.690528

[09:57:08 -894099.551620] Initial branch length optimization
[09:57:12 -702239.727584] Model parameter optimization (eps = 10.000000)
[09:57:52 -698297.058070] AUTODETECT spr round 1 (radius: 5)
[09:59:36 -470296.738722] AUTODETECT spr round 2 (radius: 10)
[10:01:24 -324834.354860] AUTODETECT spr round 3 (radius: 15)
[10:03:22 -262078.129993] AUTODETECT spr round 4 (radius: 20)
[10:05:37 -219663.854041] AUTODETECT spr round 5 (radius: 25)
[10:08:09 -203115.384268] SPR radius for FAST iterations: 25 (autodetect)
[10:08:09 -203115.384268] Model parameter optimization (eps = 3.000000)
[10:08:32 -202670.801319] FAST spr round 1 (radius: 25)
[10:10:40 -171905.746091] FAST spr round 2 (radius: 25)
[10:12:27 -169514.948943] FAST spr round 3 (radius: 25)
[10:14:05 -169389.044352] FAST spr round 4 (radius: 25)
[10:15:34 -169375.507506] FAST spr round 5 (radius: 25)
[10:16:59 -169374.726916] FAST spr round 6 (radius: 25)
[10:18:23 -169374.693541] Model parameter optimization (eps = 1.000000)
[10:18:38 -169361.590263] SLOW spr round 1 (radius: 5)
[10:20:27 -169321.024538] SLOW spr round 2 (radius: 5)
[10:22:12 -169317.944777] SLOW spr round 3 (radius: 5)
[10:23:58 -169317.116151] SLOW spr round 4 (radius: 5)
[10:25:40 -169317.112954] SLOW spr round 5 (radius: 10)
[10:27:27 -169311.900152] SLOW spr round 6 (radius: 5)
[10:29:35 -169310.782200] SLOW spr round 7 (radius: 5)
[10:31:32 -169308.705931] SLOW spr round 8 (radius: 5)
[10:33:23 -169308.705862] SLOW spr round 9 (radius: 10)
[10:35:11 -169308.705801] SLOW spr round 10 (radius: 15)
[10:37:45 -169308.447672] SLOW spr round 11 (radius: 5)
[10:40:01 -169305.075524] SLOW spr round 12 (radius: 5)
[10:42:02 -169305.073004] SLOW spr round 13 (radius: 10)
[10:43:55 -169305.072752] SLOW spr round 14 (radius: 15)
[10:46:26 -169304.990919] SLOW spr round 15 (radius: 20)
[10:49:50 -169304.990766] SLOW spr round 16 (radius: 25)
[10:53:58 -169304.990619] Model parameter optimization (eps = 0.100000)

[10:54:05] ML tree search #13, logLikelihood: -169304.871407

[10:54:05 -897407.118773] Initial branch length optimization
[10:54:09 -706236.452636] Model parameter optimization (eps = 10.000000)
[10:55:11 -702315.722919] AUTODETECT spr round 1 (radius: 5)
[10:56:59 -458398.391543] AUTODETECT spr round 2 (radius: 10)
[10:58:56 -298874.839357] AUTODETECT spr round 3 (radius: 15)
[11:01:01 -228297.735554] AUTODETECT spr round 4 (radius: 20)
[11:03:36 -198125.907123] AUTODETECT spr round 5 (radius: 25)
[11:06:41 -194840.189481] SPR radius for FAST iterations: 25 (autodetect)
[11:06:41 -194840.189481] Model parameter optimization (eps = 3.000000)
[11:07:05 -194456.658019] FAST spr round 1 (radius: 25)
[11:09:21 -170469.035523] FAST spr round 2 (radius: 25)
[11:11:11 -169386.512515] FAST spr round 3 (radius: 25)
[11:12:48 -169351.591923] FAST spr round 4 (radius: 25)
[11:14:18 -169345.206154] FAST spr round 5 (radius: 25)
[11:15:44 -169345.206104] Model parameter optimization (eps = 1.000000)
[11:15:56 -169336.943086] SLOW spr round 1 (radius: 5)
[11:17:50 -169298.816459] SLOW spr round 2 (radius: 5)
[11:19:39 -169291.227103] SLOW spr round 3 (radius: 5)
[11:21:27 -169290.565598] SLOW spr round 4 (radius: 5)
[11:23:11 -169290.565433] SLOW spr round 5 (radius: 10)
[11:24:56 -169288.867226] SLOW spr round 6 (radius: 5)
[11:27:01 -169288.865793] SLOW spr round 7 (radius: 10)
[11:28:42 -169288.865599] SLOW spr round 8 (radius: 15)
[11:30:47 -169288.577927] SLOW spr round 9 (radius: 5)
[11:32:42 -169288.271921] SLOW spr round 10 (radius: 5)
[11:34:25 -169288.271464] SLOW spr round 11 (radius: 10)
[11:36:01 -169288.271362] SLOW spr round 12 (radius: 15)
[11:38:08 -169288.271301] SLOW spr round 13 (radius: 20)
[11:41:04 -169288.271243] SLOW spr round 14 (radius: 25)
[11:44:43 -169288.271187] Model parameter optimization (eps = 0.100000)

[11:44:47] ML tree search #14, logLikelihood: -169288.262629

[11:44:47 -891585.037543] Initial branch length optimization
[11:44:51 -700491.011385] Model parameter optimization (eps = 10.000000)
[11:45:28 -696502.529319] AUTODETECT spr round 1 (radius: 5)
[11:47:02 -445301.579970] AUTODETECT spr round 2 (radius: 10)
[11:48:39 -308973.187190] AUTODETECT spr round 3 (radius: 15)
[11:50:22 -233859.161096] AUTODETECT spr round 4 (radius: 20)
[11:52:09 -210384.060183] AUTODETECT spr round 5 (radius: 25)
[11:54:09 -198427.530334] SPR radius for FAST iterations: 25 (autodetect)
[11:54:09 -198427.530334] Model parameter optimization (eps = 3.000000)
[11:54:31 -198017.938363] FAST spr round 1 (radius: 25)
[11:56:16 -171123.585305] FAST spr round 2 (radius: 25)
[11:57:46 -169564.731825] FAST spr round 3 (radius: 25)
[11:59:11 -169481.541930] FAST spr round 4 (radius: 25)
[12:00:32 -169478.912367] FAST spr round 5 (radius: 25)
[12:01:49 -169475.397807] FAST spr round 6 (radius: 25)
[12:03:03 -169475.397345] Model parameter optimization (eps = 1.000000)
[12:03:16 -169457.716405] SLOW spr round 1 (radius: 5)
[12:04:53 -169424.532667] SLOW spr round 2 (radius: 5)
[12:06:29 -169412.570445] SLOW spr round 3 (radius: 5)
[12:07:59 -169412.569740] SLOW spr round 4 (radius: 10)
[12:09:31 -169410.339941] SLOW spr round 5 (radius: 5)
[12:11:20 -169409.268415] SLOW spr round 6 (radius: 5)
[12:12:59 -169409.267998] SLOW spr round 7 (radius: 10)
[12:14:32 -169409.267891] SLOW spr round 8 (radius: 15)
[12:16:38 -169409.267820] SLOW spr round 9 (radius: 20)
[12:19:24 -169409.267753] SLOW spr round 10 (radius: 25)
[12:22:47 -169408.131679] SLOW spr round 11 (radius: 5)
[12:24:41 -169408.131501] SLOW spr round 12 (radius: 10)
[12:26:28 -169408.131424] SLOW spr round 13 (radius: 15)
[12:28:30 -169404.371252] SLOW spr round 14 (radius: 5)
[12:30:24 -169336.123727] SLOW spr round 15 (radius: 5)
[12:32:07 -169310.019000] SLOW spr round 16 (radius: 5)
[12:33:41 -169310.004282] SLOW spr round 17 (radius: 10)
[12:35:13 -169310.004201] SLOW spr round 18 (radius: 15)
[12:37:22 -169310.004130] SLOW spr round 19 (radius: 20)
[12:40:12 -169310.004059] SLOW spr round 20 (radius: 25)
[12:43:42 -169310.003988] Model parameter optimization (eps = 0.100000)

[12:43:50] ML tree search #15, logLikelihood: -169309.356737

[12:43:50 -894866.423637] Initial branch length optimization
[12:43:53 -710060.852942] Model parameter optimization (eps = 10.000000)
[12:44:30 -706233.015551] AUTODETECT spr round 1 (radius: 5)
[12:46:01 -441909.891715] AUTODETECT spr round 2 (radius: 10)
[12:47:38 -306456.719133] AUTODETECT spr round 3 (radius: 15)
[12:49:20 -237886.384567] AUTODETECT spr round 4 (radius: 20)
[12:51:22 -208685.007472] AUTODETECT spr round 5 (radius: 25)
[12:53:43 -199864.645306] SPR radius for FAST iterations: 25 (autodetect)
[12:53:43 -199864.645306] Model parameter optimization (eps = 3.000000)
[12:54:08 -199410.427199] FAST spr round 1 (radius: 25)
[12:56:08 -171309.100272] FAST spr round 2 (radius: 25)
[12:57:45 -169452.608304] FAST spr round 3 (radius: 25)
[12:59:11 -169380.343463] FAST spr round 4 (radius: 25)
[13:00:28 -169380.310039] Model parameter optimization (eps = 1.000000)
[13:00:41 -169366.222549] SLOW spr round 1 (radius: 5)
[13:02:19 -169331.964754] SLOW spr round 2 (radius: 5)
[13:03:54 -169322.218391] SLOW spr round 3 (radius: 5)
[13:05:28 -169320.523113] SLOW spr round 4 (radius: 5)
[13:06:59 -169320.507818] SLOW spr round 5 (radius: 10)
[13:08:32 -169317.874839] SLOW spr round 6 (radius: 5)
[13:10:20 -169317.874406] SLOW spr round 7 (radius: 10)
[13:12:01 -169317.874376] SLOW spr round 8 (radius: 15)
[13:14:07 -169316.470114] SLOW spr round 9 (radius: 5)
[13:15:59 -169316.470029] SLOW spr round 10 (radius: 10)
[13:17:43 -169316.469997] SLOW spr round 11 (radius: 15)
[13:19:47 -169315.437032] SLOW spr round 12 (radius: 5)
[13:21:39 -169315.436921] SLOW spr round 13 (radius: 10)
[13:23:23 -169312.885103] SLOW spr round 14 (radius: 5)
[13:25:10 -169312.758350] SLOW spr round 15 (radius: 5)
[13:26:48 -169312.520462] SLOW spr round 16 (radius: 5)
[13:28:21 -169312.519581] SLOW spr round 17 (radius: 10)
[13:29:54 -169312.519407] SLOW spr round 18 (radius: 15)
[13:32:05 -169312.519349] SLOW spr round 19 (radius: 20)
[13:34:53 -169312.519231] SLOW spr round 20 (radius: 25)
[13:38:22 -169312.519193] Model parameter optimization (eps = 0.100000)

[13:38:27] ML tree search #16, logLikelihood: -169312.454124

[13:38:27 -897634.475179] Initial branch length optimization
[13:38:31 -704589.932494] Model parameter optimization (eps = 10.000000)
[13:39:24 -700602.552033] AUTODETECT spr round 1 (radius: 5)
[13:40:56 -456068.364578] AUTODETECT spr round 2 (radius: 10)
[13:42:32 -308234.089940] AUTODETECT spr round 3 (radius: 15)
[13:44:18 -233039.439346] AUTODETECT spr round 4 (radius: 20)
[13:46:16 -206672.134126] AUTODETECT spr round 5 (radius: 25)
[13:48:23 -198097.727990] SPR radius for FAST iterations: 25 (autodetect)
[13:48:23 -198097.727990] Model parameter optimization (eps = 3.000000)
[13:48:45 -197641.595414] FAST spr round 1 (radius: 25)
[13:50:44 -170964.015816] FAST spr round 2 (radius: 25)
[13:52:21 -169489.536015] FAST spr round 3 (radius: 25)
[13:53:44 -169365.991848] FAST spr round 4 (radius: 25)
[13:55:03 -169357.114327] FAST spr round 5 (radius: 25)
[13:56:20 -169349.778460] FAST spr round 6 (radius: 25)
[13:57:33 -169349.778267] Model parameter optimization (eps = 1.000000)
[13:57:48 -169337.496125] SLOW spr round 1 (radius: 5)
[13:59:27 -169296.673520] SLOW spr round 2 (radius: 5)
[14:01:01 -169292.972776] SLOW spr round 3 (radius: 5)
[14:02:32 -169292.485751] SLOW spr round 4 (radius: 5)
[14:04:02 -169292.483865] SLOW spr round 5 (radius: 10)
[14:05:34 -169290.686515] SLOW spr round 6 (radius: 5)
[14:07:22 -169290.682532] SLOW spr round 7 (radius: 10)
[14:09:01 -169290.682141] SLOW spr round 8 (radius: 15)
[14:11:05 -169289.887233] SLOW spr round 9 (radius: 5)
[14:12:57 -169289.887222] SLOW spr round 10 (radius: 10)
[14:14:40 -169289.887221] SLOW spr round 11 (radius: 15)
[14:16:43 -169289.887220] SLOW spr round 12 (radius: 20)
[14:19:42 -169289.887219] SLOW spr round 13 (radius: 25)
[14:23:16 -169289.887218] Model parameter optimization (eps = 0.100000)

[14:23:23] ML tree search #17, logLikelihood: -169289.812695

[14:23:23 -896073.350261] Initial branch length optimization
[14:23:27 -709527.803673] Model parameter optimization (eps = 10.000000)
[14:24:06 -705649.659488] AUTODETECT spr round 1 (radius: 5)
[14:25:37 -448701.831279] AUTODETECT spr round 2 (radius: 10)
[14:27:14 -310300.019283] AUTODETECT spr round 3 (radius: 15)
[14:28:55 -255627.317584] AUTODETECT spr round 4 (radius: 20)
[14:30:49 -215134.123457] AUTODETECT spr round 5 (radius: 25)
[14:33:04 -199698.825021] SPR radius for FAST iterations: 25 (autodetect)
[14:33:04 -199698.825021] Model parameter optimization (eps = 3.000000)
[14:33:27 -199255.558369] FAST spr round 1 (radius: 25)
[14:35:18 -170730.446401] FAST spr round 2 (radius: 25)
[14:36:50 -169439.346429] FAST spr round 3 (radius: 25)
[14:38:13 -169347.597353] FAST spr round 4 (radius: 25)
[14:39:32 -169340.455123] FAST spr round 5 (radius: 25)
[14:40:47 -169340.442167] Model parameter optimization (eps = 1.000000)
[14:40:59 -169322.846945] SLOW spr round 1 (radius: 5)
[14:42:34 -169295.650083] SLOW spr round 2 (radius: 5)
[14:44:08 -169295.008911] SLOW spr round 3 (radius: 5)
[14:45:39 -169294.989217] SLOW spr round 4 (radius: 10)
[14:47:11 -169292.163041] SLOW spr round 5 (radius: 5)
[14:49:00 -169289.609487] SLOW spr round 6 (radius: 5)
[14:50:39 -169289.607871] SLOW spr round 7 (radius: 10)
[14:52:13 -169289.607677] SLOW spr round 8 (radius: 15)
[14:54:22 -169289.130202] SLOW spr round 9 (radius: 5)
[14:56:13 -169288.830233] SLOW spr round 10 (radius: 5)
[14:57:54 -169288.828476] SLOW spr round 11 (radius: 10)
[14:59:29 -169288.828153] SLOW spr round 12 (radius: 15)
[15:01:36 -169288.828006] SLOW spr round 13 (radius: 20)
[15:04:30 -169288.827912] SLOW spr round 14 (radius: 25)
[15:08:03 -169288.827837] Model parameter optimization (eps = 0.100000)

[15:08:08] ML tree search #18, logLikelihood: -169288.701174

[15:08:08 -898990.175996] Initial branch length optimization
[15:08:11 -706246.133835] Model parameter optimization (eps = 10.000000)
[15:08:49 -702405.693100] AUTODETECT spr round 1 (radius: 5)
[15:10:22 -456195.066523] AUTODETECT spr round 2 (radius: 10)
[15:11:58 -320337.737791] AUTODETECT spr round 3 (radius: 15)
[15:13:37 -273678.896457] AUTODETECT spr round 4 (radius: 20)
[15:15:30 -248956.737006] AUTODETECT spr round 5 (radius: 25)
[15:17:40 -223685.568233] SPR radius for FAST iterations: 25 (autodetect)
[15:17:40 -223685.568233] Model parameter optimization (eps = 3.000000)
[15:18:04 -223204.272940] FAST spr round 1 (radius: 25)
[15:20:01 -172338.152208] FAST spr round 2 (radius: 25)
[15:21:38 -169576.025616] FAST spr round 3 (radius: 25)
[15:23:03 -169397.531193] FAST spr round 4 (radius: 25)
[15:24:23 -169378.958165] FAST spr round 5 (radius: 25)
[15:25:38 -169378.942616] Model parameter optimization (eps = 1.000000)
[15:25:50 -169358.784135] SLOW spr round 1 (radius: 5)
[15:27:26 -169316.060054] SLOW spr round 2 (radius: 5)
[15:29:03 -169303.832898] SLOW spr round 3 (radius: 5)
[15:30:34 -169303.636844] SLOW spr round 4 (radius: 5)
[15:32:04 -169303.636078] SLOW spr round 5 (radius: 10)
[15:33:36 -169301.820599] SLOW spr round 6 (radius: 5)
[15:35:24 -169301.819290] SLOW spr round 7 (radius: 10)
[15:37:04 -169301.819099] SLOW spr round 8 (radius: 15)
[15:39:09 -169301.819017] SLOW spr round 9 (radius: 20)
[15:42:04 -169301.818947] SLOW spr round 10 (radius: 25)
[15:45:35 -169301.818877] Model parameter optimization (eps = 0.100000)

[15:45:40] ML tree search #19, logLikelihood: -169301.736379

[15:45:40 -896074.701401] Initial branch length optimization
[15:45:43 -709636.486654] Model parameter optimization (eps = 10.000000)
[15:46:26 -705581.746344] AUTODETECT spr round 1 (radius: 5)
[15:47:59 -452128.587265] AUTODETECT spr round 2 (radius: 10)
[15:49:37 -313018.368260] AUTODETECT spr round 3 (radius: 15)
[15:51:21 -260431.982751] AUTODETECT spr round 4 (radius: 20)
[15:53:12 -237870.810124] AUTODETECT spr round 5 (radius: 25)
[15:55:18 -218963.969475] SPR radius for FAST iterations: 25 (autodetect)
[15:55:18 -218963.969475] Model parameter optimization (eps = 3.000000)
[15:55:46 -218480.629317] FAST spr round 1 (radius: 25)
[15:57:44 -171729.430697] FAST spr round 2 (radius: 25)
[15:59:21 -169578.907080] FAST spr round 3 (radius: 25)
[16:00:48 -169377.898477] FAST spr round 4 (radius: 25)
[16:02:07 -169373.583497] FAST spr round 5 (radius: 25)
[16:03:21 -169373.580805] Model parameter optimization (eps = 1.000000)
[16:03:33 -169351.895201] SLOW spr round 1 (radius: 5)
[16:05:09 -169309.825451] SLOW spr round 2 (radius: 5)
[16:06:44 -169305.196293] SLOW spr round 3 (radius: 5)
[16:08:18 -169300.627979] SLOW spr round 4 (radius: 5)
[16:09:50 -169298.802645] SLOW spr round 5 (radius: 5)
[16:11:21 -169298.800091] SLOW spr round 6 (radius: 10)
[16:12:52 -169292.950921] SLOW spr round 7 (radius: 5)
[16:14:44 -169290.422787] SLOW spr round 8 (radius: 5)
[16:16:22 -169290.421190] SLOW spr round 9 (radius: 10)
[16:17:56 -169290.420991] SLOW spr round 10 (radius: 15)
[16:20:05 -169290.420931] SLOW spr round 11 (radius: 20)
[16:23:01 -169290.420883] SLOW spr round 12 (radius: 25)
[16:26:40 -169290.420836] Model parameter optimization (eps = 0.100000)

[16:26:45] ML tree search #20, logLikelihood: -169290.383364


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.131574,0.897840) (0.089287,0.653806) (0.457938,0.760697) (0.321200,1.479260) 
   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: -169282.019074

AIC score: 342574.038148 / AICc score: 8386634.038148 / BIC score: 351279.991592
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=568).
         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/O43374/3_mltree/O43374.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/3_mltree/O43374.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/3_mltree/O43374.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O43374/3_mltree/O43374.raxml.log

Analysis started: 06-Jul-2021 15:06:23 / finished: 07-Jul-2021 07:33:09

Elapsed time: 59205.473 seconds

Consumed energy: 5127.764 Wh (= 26 km in an electric car, or 128 km with an e-scooter!)