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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 30-Jun-2021 17:44:42 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/2_msa/Q9UK11_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11 --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/Q9UK11/2_msa/Q9UK11_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 560 sites

WARNING: Sequences tr_G1RAS0_G1RAS0_NOMLE_61853 and tr_F7GDG2_F7GDG2_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1RAS0_G1RAS0_NOMLE_61853 and tr_A0A096MVU8_A0A096MVU8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1RAS0_G1RAS0_NOMLE_61853 and tr_A0A0D9S896_A0A0D9S896_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G1RAS0_G1RAS0_NOMLE_61853 and tr_A0A2K5LPR7_A0A2K5LPR7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1RAS0_G1RAS0_NOMLE_61853 and tr_A0A2K6BKJ1_A0A2K6BKJ1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_K7EU23_K7EU23_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_F6ZAL5_F6ZAL5_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5NSA5_A0A2K5NSA5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5YEE6_A0A2K5YEE6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I2ZTM7_A0A2I2ZTM7_GORGO_9595 and tr_H2R058_H2R058_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QEA6_G3QEA6_GORGO_9595 and tr_H2QFF3_H2QFF3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QEA6_G3QEA6_GORGO_9595 and sp_Q3KP31_ZN791_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2J8SK65_A0A2J8SK65_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2I3T1I2_A0A2I3T1I2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2K5XY05_A0A2K5XY05_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2R9C8X5_A0A2R9C8X5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G2HJ51_G2HJ51_PANTR_9598 and tr_A0A2R9AG22_A0A2R9AG22_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QGI8_H2QGI8_PANTR_9598 and tr_A0A2R8ZK98_A0A2R8ZK98_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5P5W2_W5P5W2_SHEEP_9940 and sp_A2VDQ7_ZN420_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_W5P5W2_W5P5W2_SHEEP_9940 and tr_F1MML9_F1MML9_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q86WZ6_ZN227_HUMAN_9606 and tr_A0A2R8Z8L3_A0A2R8Z8L3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QCZ9_A0A1D5QCZ9_MACMU_9544 and tr_G7PZH5_G7PZH5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5R403_A0A1D5R403_MACMU_9544 and tr_A0A2K6CQR3_A0A2K6CQR3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6UR85_F6UR85_MACMU_9544 and tr_A0A2K6ADH3_A0A2K6ADH3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6UUJ3_F6UUJ3_MACMU_9544 and tr_A0A2K6DEZ7_A0A2K6DEZ7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6XKK1_F6XKK1_MACMU_9544 and tr_A0A2I3N067_A0A2I3N067_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7E668_F7E668_MACMU_9544 and tr_G7PXT9_G7PXT9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7E668_F7E668_MACMU_9544 and tr_A0A2K6ECN9_A0A2K6ECN9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7FX09_F7FX09_MACMU_9544 and tr_A0A2I3N004_A0A2I3N004_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7FX09_F7FX09_MACMU_9544 and tr_A0A2K5MS65_A0A2K5MS65_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7FX09_F7FX09_MACMU_9544 and tr_A0A2K6B732_A0A2K6B732_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7FX09_F7FX09_MACMU_9544 and tr_A0A2K5ZW36_A0A2K5ZW36_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7GTJ8_F7GTJ8_MACMU_9544 and tr_A0A2K6BJH0_A0A2K6BJH0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7MUI1_G7MUI1_MACMU_9544 and tr_A0A2K6AN26_A0A2K6AN26_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0A0MW33_A0A0A0MW33_PAPAN_9555 and tr_A0A2K5ZEU7_A0A2K5ZEU7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U3V9A9_A0A2U3V9A9_TURTR_9739 and tr_A0A2Y9P3Q4_A0A2Y9P3Q4_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 36

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/Q9UK11/3_mltree/Q9UK11.raxml.reduced.phy

Alignment comprises 1 partitions and 560 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 560 / 560
Gaps: 12.29 %
Invariant sites: 0.71 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.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 / 80 / 6400
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -765037.678332] Initial branch length optimization
[00:00:02 -679706.101692] Model parameter optimization (eps = 10.000000)
[00:00:29 -679020.662612] AUTODETECT spr round 1 (radius: 5)
[00:02:35 -527560.961654] AUTODETECT spr round 2 (radius: 10)
[00:05:02 -353403.771416] AUTODETECT spr round 3 (radius: 15)
[00:07:30 -294717.789100] AUTODETECT spr round 4 (radius: 20)
[00:10:07 -285092.929210] AUTODETECT spr round 5 (radius: 25)
[00:13:16 -282964.403474] SPR radius for FAST iterations: 25 (autodetect)
[00:13:16 -282964.403474] Model parameter optimization (eps = 3.000000)
[00:13:36 -282882.257059] FAST spr round 1 (radius: 25)
[00:16:13 -256591.138491] FAST spr round 2 (radius: 25)
[00:18:24 -255529.969965] FAST spr round 3 (radius: 25)
[00:20:18 -255441.069906] FAST spr round 4 (radius: 25)
[00:22:03 -255423.531684] FAST spr round 5 (radius: 25)
[00:23:42 -255422.425508] FAST spr round 6 (radius: 25)
[00:25:18 -255422.425503] Model parameter optimization (eps = 1.000000)
[00:25:33 -255416.961392] SLOW spr round 1 (radius: 5)
[00:27:47 -255357.643614] SLOW spr round 2 (radius: 5)
[00:29:51 -255351.609468] SLOW spr round 3 (radius: 5)
[00:31:52 -255351.608402] SLOW spr round 4 (radius: 10)
[00:33:59 -255341.970897] SLOW spr round 5 (radius: 5)
[00:36:17 -255338.582872] SLOW spr round 6 (radius: 5)
[00:38:25 -255335.105657] SLOW spr round 7 (radius: 5)
[00:40:27 -255335.105626] SLOW spr round 8 (radius: 10)
[00:42:36 -255321.791212] SLOW spr round 9 (radius: 5)
[00:44:54 -255319.320351] SLOW spr round 10 (radius: 5)
[00:47:02 -255318.026450] SLOW spr round 11 (radius: 5)
[00:49:04 -255318.026409] SLOW spr round 12 (radius: 10)
[00:51:12 -255315.774688] SLOW spr round 13 (radius: 5)
[00:53:29 -255314.147158] SLOW spr round 14 (radius: 5)
[00:55:36 -255313.731816] SLOW spr round 15 (radius: 5)
[00:57:39 -255313.731802] SLOW spr round 16 (radius: 10)
[00:59:48 -255310.517430] SLOW spr round 17 (radius: 5)
[01:02:07 -255301.646094] SLOW spr round 18 (radius: 5)
[01:04:16 -255299.376613] SLOW spr round 19 (radius: 5)
[01:06:18 -255299.376179] SLOW spr round 20 (radius: 10)
[01:08:26 -255298.799987] SLOW spr round 21 (radius: 5)
[01:10:44 -255297.966568] SLOW spr round 22 (radius: 5)
[01:12:50 -255297.966561] SLOW spr round 23 (radius: 10)
[01:15:01 -255297.810180] SLOW spr round 24 (radius: 5)
[01:17:19 -255294.648104] SLOW spr round 25 (radius: 5)
[01:19:26 -255292.515228] SLOW spr round 26 (radius: 5)
[01:21:26 -255292.515138] SLOW spr round 27 (radius: 10)
[01:23:34 -255290.679161] SLOW spr round 28 (radius: 5)
[01:25:51 -255290.388251] SLOW spr round 29 (radius: 5)
[01:27:57 -255290.387980] SLOW spr round 30 (radius: 10)
[01:30:07 -255290.387978] SLOW spr round 31 (radius: 15)
[01:33:34 -255290.387978] SLOW spr round 32 (radius: 20)
[01:38:39 -255286.687954] SLOW spr round 33 (radius: 5)
[01:41:05 -255276.879343] SLOW spr round 34 (radius: 5)
[01:43:16 -255272.602458] SLOW spr round 35 (radius: 5)
[01:45:20 -255272.602316] SLOW spr round 36 (radius: 10)
[01:47:29 -255264.675113] SLOW spr round 37 (radius: 5)
[01:49:45 -255264.226161] SLOW spr round 38 (radius: 5)
[01:51:51 -255264.226144] SLOW spr round 39 (radius: 10)
[01:54:02 -255264.226144] SLOW spr round 40 (radius: 15)
[01:57:28 -255264.026700] SLOW spr round 41 (radius: 5)
[01:59:50 -255264.025867] SLOW spr round 42 (radius: 10)
[02:02:15 -255264.025853] SLOW spr round 43 (radius: 15)
[02:05:33 -255264.025852] SLOW spr round 44 (radius: 20)
[02:10:34 -255264.025852] SLOW spr round 45 (radius: 25)
[02:17:02 -255264.025852] Model parameter optimization (eps = 0.100000)

[02:17:15] ML tree search #1, logLikelihood: -255263.490795

[02:17:15 -758117.157832] Initial branch length optimization
[02:17:18 -675811.765015] Model parameter optimization (eps = 10.000000)
[02:17:50 -675252.035823] AUTODETECT spr round 1 (radius: 5)
[02:19:51 -528370.722793] AUTODETECT spr round 2 (radius: 10)
[02:22:07 -370341.294583] AUTODETECT spr round 3 (radius: 15)
[02:24:29 -314657.086645] AUTODETECT spr round 4 (radius: 20)
[02:27:15 -296965.416155] AUTODETECT spr round 5 (radius: 25)
[02:30:33 -285468.459110] SPR radius for FAST iterations: 25 (autodetect)
[02:30:33 -285468.459110] Model parameter optimization (eps = 3.000000)
[02:30:52 -285388.180706] FAST spr round 1 (radius: 25)
[02:33:41 -257888.237870] FAST spr round 2 (radius: 25)
[02:35:52 -255566.033627] FAST spr round 3 (radius: 25)
[02:37:49 -255472.346632] FAST spr round 4 (radius: 25)
[02:39:33 -255470.263841] FAST spr round 5 (radius: 25)
[02:41:15 -255463.637298] FAST spr round 6 (radius: 25)
[02:42:53 -255463.637283] Model parameter optimization (eps = 1.000000)
[02:43:05 -255457.600166] SLOW spr round 1 (radius: 5)
[02:45:14 -255332.591504] SLOW spr round 2 (radius: 5)
[02:47:26 -255315.685221] SLOW spr round 3 (radius: 5)
[02:49:28 -255314.855776] SLOW spr round 4 (radius: 5)
[02:51:30 -255311.816247] SLOW spr round 5 (radius: 5)
[02:53:30 -255311.815995] SLOW spr round 6 (radius: 10)
[02:55:34 -255299.361454] SLOW spr round 7 (radius: 5)
[02:57:52 -255297.100633] SLOW spr round 8 (radius: 5)
[03:00:01 -255296.558628] SLOW spr round 9 (radius: 5)
[03:02:06 -255296.558352] SLOW spr round 10 (radius: 10)
[03:04:11 -255296.558346] SLOW spr round 11 (radius: 15)
[03:07:40 -255296.558340] SLOW spr round 12 (radius: 20)
[03:12:55 -255296.558333] SLOW spr round 13 (radius: 25)
[03:19:47 -255296.558327] Model parameter optimization (eps = 0.100000)

[03:19:52] ML tree search #2, logLikelihood: -255296.512368

[03:19:52 -761216.997981] Initial branch length optimization
[03:19:55 -678876.345999] Model parameter optimization (eps = 10.000000)
[03:20:21 -678272.877005] AUTODETECT spr round 1 (radius: 5)
[03:22:23 -518157.026664] AUTODETECT spr round 2 (radius: 10)
[03:24:49 -357455.337300] AUTODETECT spr round 3 (radius: 15)
[03:27:09 -300003.594925] AUTODETECT spr round 4 (radius: 20)
[03:29:51 -287773.777879] AUTODETECT spr round 5 (radius: 25)
[03:33:06 -284642.806163] SPR radius for FAST iterations: 25 (autodetect)
[03:33:06 -284642.806163] Model parameter optimization (eps = 3.000000)
[03:33:22 -284613.575761] FAST spr round 1 (radius: 25)
[03:35:59 -257975.709853] FAST spr round 2 (radius: 25)
[03:38:04 -255691.928428] FAST spr round 3 (radius: 25)
[03:39:57 -255475.276753] FAST spr round 4 (radius: 25)
[03:41:42 -255461.806657] FAST spr round 5 (radius: 25)
[03:43:22 -255460.978538] FAST spr round 6 (radius: 25)
[03:45:00 -255460.978535] Model parameter optimization (eps = 1.000000)
[03:45:28 -255413.978978] SLOW spr round 1 (radius: 5)
[03:47:37 -255326.768081] SLOW spr round 2 (radius: 5)
[03:49:42 -255322.239816] SLOW spr round 3 (radius: 5)
[03:51:44 -255320.453049] SLOW spr round 4 (radius: 5)
[03:53:44 -255320.453036] SLOW spr round 5 (radius: 10)
[03:55:48 -255318.114068] SLOW spr round 6 (radius: 5)
[03:58:08 -255316.244021] SLOW spr round 7 (radius: 5)
[04:00:15 -255316.243887] SLOW spr round 8 (radius: 10)
[04:02:23 -255316.243886] SLOW spr round 9 (radius: 15)
[04:05:42 -255316.243886] SLOW spr round 10 (radius: 20)
[04:10:37 -255306.984347] SLOW spr round 11 (radius: 5)
[04:13:09 -255299.196713] SLOW spr round 12 (radius: 5)
[04:15:23 -255298.398454] SLOW spr round 13 (radius: 5)
[04:17:30 -255298.398341] SLOW spr round 14 (radius: 10)
[04:19:36 -255298.398322] SLOW spr round 15 (radius: 15)
[04:23:01 -255298.398318] SLOW spr round 16 (radius: 20)
[04:27:54 -255298.398317] SLOW spr round 17 (radius: 25)
[04:34:13 -255298.398317] Model parameter optimization (eps = 0.100000)

[04:34:18] ML tree search #3, logLikelihood: -255298.337427

[04:34:18 -759880.837653] Initial branch length optimization
[04:34:20 -676350.140135] Model parameter optimization (eps = 10.000000)
[04:34:45 -675686.604869] AUTODETECT spr round 1 (radius: 5)
[04:36:48 -524185.962817] AUTODETECT spr round 2 (radius: 10)
[04:39:12 -367994.011380] AUTODETECT spr round 3 (radius: 15)
[04:41:44 -303621.790729] AUTODETECT spr round 4 (radius: 20)
[04:44:17 -287012.736988] AUTODETECT spr round 5 (radius: 25)
[04:47:12 -283843.138454] SPR radius for FAST iterations: 25 (autodetect)
[04:47:12 -283843.138454] Model parameter optimization (eps = 3.000000)
[04:47:32 -283778.667529] FAST spr round 1 (radius: 25)
[04:50:16 -256881.287583] FAST spr round 2 (radius: 25)
[04:52:31 -255584.602588] FAST spr round 3 (radius: 25)
[04:54:33 -255484.778808] FAST spr round 4 (radius: 25)
[04:56:22 -255430.202744] FAST spr round 5 (radius: 25)
[04:58:01 -255430.202362] Model parameter optimization (eps = 1.000000)
[04:58:14 -255418.015993] SLOW spr round 1 (radius: 5)
[05:00:26 -255342.950987] SLOW spr round 2 (radius: 5)
[05:02:34 -255328.034705] SLOW spr round 3 (radius: 5)
[05:04:34 -255326.983382] SLOW spr round 4 (radius: 5)
[05:06:34 -255326.983315] SLOW spr round 5 (radius: 10)
[05:08:40 -255310.486029] SLOW spr round 6 (radius: 5)
[05:11:02 -255291.446346] SLOW spr round 7 (radius: 5)
[05:13:11 -255291.048542] SLOW spr round 8 (radius: 5)
[05:15:13 -255291.048432] SLOW spr round 9 (radius: 10)
[05:17:20 -255287.908375] SLOW spr round 10 (radius: 5)
[05:19:38 -255287.500753] SLOW spr round 11 (radius: 5)
[05:21:45 -255287.500312] SLOW spr round 12 (radius: 10)
[05:23:55 -255287.500308] SLOW spr round 13 (radius: 15)
[05:27:35 -255261.941967] SLOW spr round 14 (radius: 5)
[05:29:58 -255260.665965] SLOW spr round 15 (radius: 5)
[05:32:07 -255260.665910] SLOW spr round 16 (radius: 10)
[05:34:20 -255251.924150] SLOW spr round 17 (radius: 5)
[05:36:38 -255251.923967] SLOW spr round 18 (radius: 10)
[05:38:57 -255251.923963] SLOW spr round 19 (radius: 15)
[05:42:29 -255251.923962] SLOW spr round 20 (radius: 20)
[05:48:04 -255251.923962] SLOW spr round 21 (radius: 25)
[05:55:09 -255251.923962] Model parameter optimization (eps = 0.100000)

[05:55:21] ML tree search #4, logLikelihood: -255251.446921

[05:55:22 -762746.624345] Initial branch length optimization
[05:55:24 -678963.879742] Model parameter optimization (eps = 10.000000)
[05:55:51 -678298.966041] AUTODETECT spr round 1 (radius: 5)
[05:57:53 -515826.734164] AUTODETECT spr round 2 (radius: 10)
[06:00:19 -355868.498597] AUTODETECT spr round 3 (radius: 15)
[06:02:46 -296517.644394] AUTODETECT spr round 4 (radius: 20)
[06:05:41 -281167.719746] AUTODETECT spr round 5 (radius: 25)
[06:08:45 -278213.659749] SPR radius for FAST iterations: 25 (autodetect)
[06:08:45 -278213.659749] Model parameter optimization (eps = 3.000000)
[06:08:53 -278204.417124] FAST spr round 1 (radius: 25)
[06:11:35 -256629.533477] FAST spr round 2 (radius: 25)
[06:13:46 -255702.838591] FAST spr round 3 (radius: 25)
[06:15:45 -255586.520038] FAST spr round 4 (radius: 25)
[06:17:31 -255557.473231] FAST spr round 5 (radius: 25)
[06:19:11 -255546.140367] FAST spr round 6 (radius: 25)
[06:20:48 -255546.140343] Model parameter optimization (eps = 1.000000)
[06:21:13 -255462.911839] SLOW spr round 1 (radius: 5)
[06:23:24 -255374.026110] SLOW spr round 2 (radius: 5)
[06:25:29 -255368.438675] SLOW spr round 3 (radius: 5)
[06:27:30 -255367.267873] SLOW spr round 4 (radius: 5)
[06:29:30 -255365.946174] SLOW spr round 5 (radius: 5)
[06:31:31 -255361.453029] SLOW spr round 6 (radius: 5)
[06:33:31 -255361.452857] SLOW spr round 7 (radius: 10)
[06:35:36 -255354.156339] SLOW spr round 8 (radius: 5)
[06:37:57 -255347.082481] SLOW spr round 9 (radius: 5)
[06:40:06 -255343.610338] SLOW spr round 10 (radius: 5)
[06:42:09 -255342.251556] SLOW spr round 11 (radius: 5)
[06:44:09 -255342.251495] SLOW spr round 12 (radius: 10)
[06:46:13 -255340.536585] SLOW spr round 13 (radius: 5)
[06:48:30 -255340.536498] SLOW spr round 14 (radius: 10)
[06:50:46 -255336.591734] SLOW spr round 15 (radius: 5)
[06:53:02 -255335.565294] SLOW spr round 16 (radius: 5)
[06:55:08 -255335.565293] SLOW spr round 17 (radius: 10)
[06:57:15 -255335.565293] SLOW spr round 18 (radius: 15)
[07:00:41 -255332.522158] SLOW spr round 19 (radius: 5)
[07:03:05 -255330.712583] SLOW spr round 20 (radius: 5)
[07:05:14 -255330.712582] SLOW spr round 21 (radius: 10)
[07:07:23 -255330.712582] SLOW spr round 22 (radius: 15)
[07:10:47 -255330.712582] SLOW spr round 23 (radius: 20)
[07:16:01 -255330.712582] SLOW spr round 24 (radius: 25)
[07:23:06 -255330.712582] Model parameter optimization (eps = 0.100000)

[07:23:14] ML tree search #5, logLikelihood: -255330.588653

[07:23:14 -759383.006085] Initial branch length optimization
[07:23:16 -677640.814896] Model parameter optimization (eps = 10.000000)
[07:23:41 -676998.068426] AUTODETECT spr round 1 (radius: 5)
[07:25:44 -521032.822003] AUTODETECT spr round 2 (radius: 10)
[07:28:07 -355722.678593] AUTODETECT spr round 3 (radius: 15)
[07:30:28 -304161.595291] AUTODETECT spr round 4 (radius: 20)
[07:33:02 -286985.038206] AUTODETECT spr round 5 (radius: 25)
[07:36:19 -283852.794510] SPR radius for FAST iterations: 25 (autodetect)
[07:36:19 -283852.794510] Model parameter optimization (eps = 3.000000)
[07:36:38 -283762.216556] FAST spr round 1 (radius: 25)
[07:39:20 -258348.615982] FAST spr round 2 (radius: 25)
[07:41:27 -257039.355254] FAST spr round 3 (radius: 25)
[07:43:21 -256907.779159] FAST spr round 4 (radius: 25)
[07:45:09 -255795.593742] FAST spr round 5 (radius: 25)
[07:46:54 -255517.312514] FAST spr round 6 (radius: 25)
[07:48:34 -255481.302536] FAST spr round 7 (radius: 25)
[07:50:11 -255478.222194] FAST spr round 8 (radius: 25)
[07:51:47 -255478.221967] Model parameter optimization (eps = 1.000000)
[07:52:03 -255440.075135] SLOW spr round 1 (radius: 5)
[07:54:13 -255314.224175] SLOW spr round 2 (radius: 5)
[07:56:19 -255297.768879] SLOW spr round 3 (radius: 5)
[07:58:22 -255293.692023] SLOW spr round 4 (radius: 5)
[08:00:23 -255291.109360] SLOW spr round 5 (radius: 5)
[08:02:24 -255291.109353] SLOW spr round 6 (radius: 10)
[08:04:27 -255291.109353] SLOW spr round 7 (radius: 15)
[08:07:57 -255291.109353] SLOW spr round 8 (radius: 20)
[08:12:57 -255291.109353] SLOW spr round 9 (radius: 25)
[08:19:48 -255291.109353] Model parameter optimization (eps = 0.100000)

[08:20:00] ML tree search #6, logLikelihood: -255290.874289

[08:20:00 -762393.913256] Initial branch length optimization
[08:20:02 -677467.690003] Model parameter optimization (eps = 10.000000)
[08:20:28 -676802.469430] AUTODETECT spr round 1 (radius: 5)
[08:22:29 -517815.854477] AUTODETECT spr round 2 (radius: 10)
[08:24:53 -363231.876022] AUTODETECT spr round 3 (radius: 15)
[08:27:20 -308402.172259] AUTODETECT spr round 4 (radius: 20)
[08:30:07 -289593.788976] AUTODETECT spr round 5 (radius: 25)
[08:33:25 -286090.750841] SPR radius for FAST iterations: 25 (autodetect)
[08:33:25 -286090.750841] Model parameter optimization (eps = 3.000000)
[08:33:47 -285994.226651] FAST spr round 1 (radius: 25)
[08:36:41 -257475.276204] FAST spr round 2 (radius: 25)
[08:38:58 -255687.146911] FAST spr round 3 (radius: 25)
[08:40:55 -255547.670419] FAST spr round 4 (radius: 25)
[08:42:41 -255541.300382] FAST spr round 5 (radius: 25)
[08:44:22 -255541.300351] Model parameter optimization (eps = 1.000000)
[08:44:38 -255534.289295] SLOW spr round 1 (radius: 5)
[08:46:50 -255438.296397] SLOW spr round 2 (radius: 5)
[08:49:00 -255423.702946] SLOW spr round 3 (radius: 5)
[08:51:06 -255409.074198] SLOW spr round 4 (radius: 5)
[08:53:11 -255403.202784] SLOW spr round 5 (radius: 5)
[08:55:13 -255402.866407] SLOW spr round 6 (radius: 5)
[08:57:14 -255402.866381] SLOW spr round 7 (radius: 10)
[08:59:26 -255393.739145] SLOW spr round 8 (radius: 5)
[09:01:50 -255373.045555] SLOW spr round 9 (radius: 5)
[09:03:59 -255371.016410] SLOW spr round 10 (radius: 5)
[09:06:02 -255371.016400] SLOW spr round 11 (radius: 10)
[09:08:14 -255366.929124] SLOW spr round 12 (radius: 5)
[09:10:35 -255366.584494] SLOW spr round 13 (radius: 5)
[09:12:43 -255366.584491] SLOW spr round 14 (radius: 10)
[09:14:57 -255366.019279] SLOW spr round 15 (radius: 5)
[09:17:17 -255363.040719] SLOW spr round 16 (radius: 5)
[09:19:26 -255360.858542] SLOW spr round 17 (radius: 5)
[09:21:30 -255360.858366] SLOW spr round 18 (radius: 10)
[09:23:40 -255358.836564] SLOW spr round 19 (radius: 5)
[09:26:02 -255352.841298] SLOW spr round 20 (radius: 5)
[09:28:09 -255352.841285] SLOW spr round 21 (radius: 10)
[09:30:22 -255348.700132] SLOW spr round 22 (radius: 5)
[09:32:45 -255343.647438] SLOW spr round 23 (radius: 5)
[09:34:53 -255343.647302] SLOW spr round 24 (radius: 10)
[09:37:05 -255334.364888] SLOW spr round 25 (radius: 5)
[09:39:23 -255334.364817] SLOW spr round 26 (radius: 10)
[09:41:44 -255334.364816] SLOW spr round 27 (radius: 15)
[09:45:11 -255334.364816] SLOW spr round 28 (radius: 20)
[09:50:33 -255325.358452] SLOW spr round 29 (radius: 5)
[09:53:00 -255324.982398] SLOW spr round 30 (radius: 5)
[09:55:12 -255324.982057] SLOW spr round 31 (radius: 10)
[09:57:27 -255324.982026] SLOW spr round 32 (radius: 15)
[10:00:57 -255324.982023] SLOW spr round 33 (radius: 20)
[10:06:16 -255324.982023] SLOW spr round 34 (radius: 25)
[10:12:58 -255324.982023] Model parameter optimization (eps = 0.100000)

[10:13:09] ML tree search #7, logLikelihood: -255323.935723

[10:13:09 -761171.682676] Initial branch length optimization
[10:13:11 -677470.784580] Model parameter optimization (eps = 10.000000)
[10:13:36 -676858.215873] AUTODETECT spr round 1 (radius: 5)
[10:15:38 -513027.381199] AUTODETECT spr round 2 (radius: 10)
[10:18:03 -349509.422823] AUTODETECT spr round 3 (radius: 15)
[10:20:20 -294888.375080] AUTODETECT spr round 4 (radius: 20)
[10:22:59 -283121.208906] AUTODETECT spr round 5 (radius: 25)
[10:26:05 -279682.855516] SPR radius for FAST iterations: 25 (autodetect)
[10:26:05 -279682.855516] Model parameter optimization (eps = 3.000000)
[10:26:24 -279612.799948] FAST spr round 1 (radius: 25)
[10:29:01 -256986.050431] FAST spr round 2 (radius: 25)
[10:31:10 -255770.496668] FAST spr round 3 (radius: 25)
[10:33:10 -255608.577920] FAST spr round 4 (radius: 25)
[10:35:00 -255548.326830] FAST spr round 5 (radius: 25)
[10:36:41 -255540.274116] FAST spr round 6 (radius: 25)
[10:38:19 -255537.478623] FAST spr round 7 (radius: 25)
[10:39:56 -255537.478498] Model parameter optimization (eps = 1.000000)
[10:40:11 -255525.760746] SLOW spr round 1 (radius: 5)
[10:42:23 -255451.815810] SLOW spr round 2 (radius: 5)
[10:44:28 -255441.204602] SLOW spr round 3 (radius: 5)
[10:46:28 -255441.204600] SLOW spr round 4 (radius: 10)
[10:48:33 -255440.276526] SLOW spr round 5 (radius: 5)
[10:50:51 -255436.870053] SLOW spr round 6 (radius: 5)
[10:52:57 -255436.870045] SLOW spr round 7 (radius: 10)
[10:55:07 -255435.855838] SLOW spr round 8 (radius: 5)
[10:57:24 -255433.180746] SLOW spr round 9 (radius: 5)
[10:59:31 -255431.154595] SLOW spr round 10 (radius: 5)
[11:01:33 -255431.154591] SLOW spr round 11 (radius: 10)
[11:03:39 -255431.154591] SLOW spr round 12 (radius: 15)
[11:07:01 -255431.154591] SLOW spr round 13 (radius: 20)
[11:11:58 -255430.265477] SLOW spr round 14 (radius: 5)
[11:14:22 -255430.265439] SLOW spr round 15 (radius: 10)
[11:16:49 -255430.265439] SLOW spr round 16 (radius: 15)
[11:20:03 -255430.265439] SLOW spr round 17 (radius: 20)
[11:25:04 -255430.265439] SLOW spr round 18 (radius: 25)
[11:31:15 -255420.255454] SLOW spr round 19 (radius: 5)
[11:33:42 -255420.255247] SLOW spr round 20 (radius: 10)
[11:36:13 -255420.255246] SLOW spr round 21 (radius: 15)
[11:39:27 -255420.255246] SLOW spr round 22 (radius: 20)
[11:44:29 -255420.255246] SLOW spr round 23 (radius: 25)
[11:50:38 -255420.255246] Model parameter optimization (eps = 0.100000)

[11:50:44] ML tree search #8, logLikelihood: -255420.186933

[11:50:44 -761719.959908] Initial branch length optimization
[11:50:47 -678533.613724] Model parameter optimization (eps = 10.000000)
[11:51:16 -677938.281855] AUTODETECT spr round 1 (radius: 5)
[11:53:18 -525165.709214] AUTODETECT spr round 2 (radius: 10)
[11:55:38 -370105.766265] AUTODETECT spr round 3 (radius: 15)
[11:58:09 -296893.668102] AUTODETECT spr round 4 (radius: 20)
[12:00:58 -284862.712510] AUTODETECT spr round 5 (radius: 25)
[12:04:24 -282156.516714] SPR radius for FAST iterations: 25 (autodetect)
[12:04:24 -282156.516714] Model parameter optimization (eps = 3.000000)
[12:04:45 -282084.883220] FAST spr round 1 (radius: 25)
[12:07:30 -256815.197577] FAST spr round 2 (radius: 25)
[12:09:45 -255536.373195] FAST spr round 3 (radius: 25)
[12:11:46 -255408.991446] FAST spr round 4 (radius: 25)
[12:13:31 -255390.287688] FAST spr round 5 (radius: 25)
[12:15:11 -255386.127496] FAST spr round 6 (radius: 25)
[12:16:49 -255386.127370] Model parameter optimization (eps = 1.000000)
[12:17:11 -255350.519651] SLOW spr round 1 (radius: 5)
[12:19:26 -255268.311770] SLOW spr round 2 (radius: 5)
[12:21:31 -255261.392353] SLOW spr round 3 (radius: 5)
[12:23:33 -255261.392237] SLOW spr round 4 (radius: 10)
[12:25:42 -255254.365843] SLOW spr round 5 (radius: 5)
[12:28:04 -255248.707024] SLOW spr round 6 (radius: 5)
[12:30:15 -255246.860642] SLOW spr round 7 (radius: 5)
[12:32:20 -255246.860526] SLOW spr round 8 (radius: 10)
[12:34:30 -255246.860526] SLOW spr round 9 (radius: 15)
[12:38:08 -255246.860526] SLOW spr round 10 (radius: 20)
[12:43:31 -255246.860526] SLOW spr round 11 (radius: 25)
[12:50:17 -255246.860526] Model parameter optimization (eps = 0.100000)

[12:50:22] ML tree search #9, logLikelihood: -255246.770179

[12:50:22 -761599.819906] Initial branch length optimization
[12:50:24 -677837.082290] Model parameter optimization (eps = 10.000000)
[12:50:51 -677237.915302] AUTODETECT spr round 1 (radius: 5)
[12:52:54 -525797.008856] AUTODETECT spr round 2 (radius: 10)
[12:55:20 -368736.797044] AUTODETECT spr round 3 (radius: 15)
[12:57:48 -309058.576473] AUTODETECT spr round 4 (radius: 20)
[13:00:20 -289087.581373] AUTODETECT spr round 5 (radius: 25)
[13:03:36 -285927.891039] SPR radius for FAST iterations: 25 (autodetect)
[13:03:36 -285927.891039] Model parameter optimization (eps = 3.000000)
[13:03:55 -285899.793688] FAST spr round 1 (radius: 25)
[13:06:46 -257537.485005] FAST spr round 2 (radius: 25)
[13:08:59 -256280.703268] FAST spr round 3 (radius: 25)
[13:10:59 -255932.471973] FAST spr round 4 (radius: 25)
[13:12:50 -255467.306309] FAST spr round 5 (radius: 25)
[13:14:34 -255447.169725] FAST spr round 6 (radius: 25)
[13:16:15 -255437.016755] FAST spr round 7 (radius: 25)
[13:17:52 -255433.393592] FAST spr round 8 (radius: 25)
[13:19:28 -255429.020861] FAST spr round 9 (radius: 25)
[13:21:03 -255429.020781] Model parameter optimization (eps = 1.000000)
[13:21:20 -255373.881160] SLOW spr round 1 (radius: 5)
[13:23:30 -255274.614723] SLOW spr round 2 (radius: 5)
[13:25:40 -255265.017353] SLOW spr round 3 (radius: 5)
[13:27:42 -255263.725528] SLOW spr round 4 (radius: 5)
[13:29:41 -255263.725011] SLOW spr round 5 (radius: 10)
[13:31:49 -255255.767820] SLOW spr round 6 (radius: 5)
[13:34:09 -255252.586902] SLOW spr round 7 (radius: 5)
[13:36:17 -255247.756919] SLOW spr round 8 (radius: 5)
[13:38:20 -255247.756917] SLOW spr round 9 (radius: 10)
[13:40:30 -255246.095021] SLOW spr round 10 (radius: 5)
[13:42:49 -255245.581310] SLOW spr round 11 (radius: 5)
[13:44:56 -255245.581267] SLOW spr round 12 (radius: 10)
[13:47:07 -255245.581265] SLOW spr round 13 (radius: 15)
[13:50:28 -255245.581265] SLOW spr round 14 (radius: 20)
[13:55:22 -255245.581265] SLOW spr round 15 (radius: 25)
[14:01:32 -255245.581265] Model parameter optimization (eps = 0.100000)

[14:01:37] ML tree search #10, logLikelihood: -255245.579361

[14:01:37 -763123.742829] Initial branch length optimization
[14:01:39 -678685.177166] Model parameter optimization (eps = 10.000000)
[14:02:06 -678110.030536] AUTODETECT spr round 1 (radius: 5)
[14:04:09 -517498.766597] AUTODETECT spr round 2 (radius: 10)
[14:06:33 -357588.018019] AUTODETECT spr round 3 (radius: 15)
[14:08:59 -297292.887700] AUTODETECT spr round 4 (radius: 20)
[14:11:49 -284119.370600] AUTODETECT spr round 5 (radius: 25)
[14:15:17 -279317.825868] SPR radius for FAST iterations: 25 (autodetect)
[14:15:17 -279317.825868] Model parameter optimization (eps = 3.000000)
[14:15:46 -279247.522235] FAST spr round 1 (radius: 25)
[14:18:30 -256414.964935] FAST spr round 2 (radius: 25)
[14:20:42 -255599.591991] FAST spr round 3 (radius: 25)
[14:22:42 -255453.772021] FAST spr round 4 (radius: 25)
[14:24:34 -255432.243034] FAST spr round 5 (radius: 25)
[14:26:14 -255429.744887] FAST spr round 6 (radius: 25)
[14:27:51 -255429.744775] Model parameter optimization (eps = 1.000000)
[14:28:11 -255388.391548] SLOW spr round 1 (radius: 5)
[14:30:28 -255299.051224] SLOW spr round 2 (radius: 5)
[14:32:36 -255297.265058] SLOW spr round 3 (radius: 5)
[14:34:39 -255297.264514] SLOW spr round 4 (radius: 10)
[14:36:49 -255290.336815] SLOW spr round 5 (radius: 5)
[14:39:15 -255283.880335] SLOW spr round 6 (radius: 5)
[14:41:26 -255282.951534] SLOW spr round 7 (radius: 5)
[14:43:31 -255282.951362] SLOW spr round 8 (radius: 10)
[14:45:41 -255281.896768] SLOW spr round 9 (radius: 5)
[14:48:02 -255281.896598] SLOW spr round 10 (radius: 10)
[14:50:24 -255281.896595] SLOW spr round 11 (radius: 15)
[14:53:39 -255279.669806] SLOW spr round 12 (radius: 5)
[14:56:04 -255279.545394] SLOW spr round 13 (radius: 5)
[14:58:16 -255279.544585] SLOW spr round 14 (radius: 10)
[15:00:30 -255279.544475] SLOW spr round 15 (radius: 15)
[15:03:48 -255279.544454] SLOW spr round 16 (radius: 20)
[15:08:34 -255271.713240] SLOW spr round 17 (radius: 5)
[15:11:06 -255269.676560] SLOW spr round 18 (radius: 5)
[15:13:20 -255269.676020] SLOW spr round 19 (radius: 10)
[15:15:35 -255269.676001] SLOW spr round 20 (radius: 15)
[15:18:52 -255269.676000] SLOW spr round 21 (radius: 20)
[15:23:37 -255269.675999] SLOW spr round 22 (radius: 25)
[15:29:43 -255269.675999] Model parameter optimization (eps = 0.100000)

[15:29:54] ML tree search #11, logLikelihood: -255269.536904

[15:29:54 -756790.841231] Initial branch length optimization
[15:29:57 -675895.416530] Model parameter optimization (eps = 10.000000)
[15:30:21 -675324.601011] AUTODETECT spr round 1 (radius: 5)
[15:32:23 -513644.389317] AUTODETECT spr round 2 (radius: 10)
[15:34:43 -365320.472688] AUTODETECT spr round 3 (radius: 15)
[15:37:08 -301591.824071] AUTODETECT spr round 4 (radius: 20)
[15:39:47 -285795.279895] AUTODETECT spr round 5 (radius: 25)
[15:42:58 -283564.022407] SPR radius for FAST iterations: 25 (autodetect)
[15:42:58 -283564.022407] Model parameter optimization (eps = 3.000000)
[15:43:19 -283482.313592] FAST spr round 1 (radius: 25)
[15:46:01 -258376.581422] FAST spr round 2 (radius: 25)
[15:48:10 -255773.538940] FAST spr round 3 (radius: 25)
[15:50:06 -255560.360986] FAST spr round 4 (radius: 25)
[15:51:52 -255541.329270] FAST spr round 5 (radius: 25)
[15:53:32 -255538.590154] FAST spr round 6 (radius: 25)
[15:55:09 -255538.589903] Model parameter optimization (eps = 1.000000)
[15:55:23 -255526.770734] SLOW spr round 1 (radius: 5)
[15:57:31 -255423.833875] SLOW spr round 2 (radius: 5)
[15:59:37 -255404.633453] SLOW spr round 3 (radius: 5)
[16:01:38 -255401.640848] SLOW spr round 4 (radius: 5)
[16:03:42 -255392.438591] SLOW spr round 5 (radius: 5)
[16:05:41 -255391.908067] SLOW spr round 6 (radius: 5)
[16:07:40 -255391.269026] SLOW spr round 7 (radius: 5)
[16:09:39 -255391.268995] SLOW spr round 8 (radius: 10)
[16:11:43 -255381.528224] SLOW spr round 9 (radius: 5)
[16:14:02 -255376.116975] SLOW spr round 10 (radius: 5)
[16:16:10 -255375.933440] SLOW spr round 11 (radius: 5)
[16:18:13 -255375.171518] SLOW spr round 12 (radius: 5)
[16:20:13 -255375.171512] SLOW spr round 13 (radius: 10)
[16:22:16 -255374.269399] SLOW spr round 14 (radius: 5)
[16:24:35 -255370.016308] SLOW spr round 15 (radius: 5)
[16:26:44 -255367.831129] SLOW spr round 16 (radius: 5)
[16:28:47 -255367.474826] SLOW spr round 17 (radius: 5)
[16:30:47 -255367.474816] SLOW spr round 18 (radius: 10)
[16:32:51 -255367.474810] SLOW spr round 19 (radius: 15)
[16:36:18 -255367.474805] SLOW spr round 20 (radius: 20)
[16:41:17 -255367.474799] SLOW spr round 21 (radius: 25)
[16:47:24 -255367.474794] Model parameter optimization (eps = 0.100000)

[16:47:29] ML tree search #12, logLikelihood: -255367.449053

[16:47:29 -759092.400123] Initial branch length optimization
[16:47:32 -677232.828657] Model parameter optimization (eps = 10.000000)
[16:48:00 -676666.268869] AUTODETECT spr round 1 (radius: 5)
[16:50:03 -521873.345729] AUTODETECT spr round 2 (radius: 10)
[16:52:24 -354916.592120] AUTODETECT spr round 3 (radius: 15)
[16:54:42 -296626.313394] AUTODETECT spr round 4 (radius: 20)
[16:57:16 -284573.089377] AUTODETECT spr round 5 (radius: 25)
[17:00:20 -283910.832058] SPR radius for FAST iterations: 25 (autodetect)
[17:00:20 -283910.832058] Model parameter optimization (eps = 3.000000)
[17:00:38 -283857.699438] FAST spr round 1 (radius: 25)
[17:03:23 -257104.431946] FAST spr round 2 (radius: 25)
[17:05:36 -255531.217796] FAST spr round 3 (radius: 25)
[17:07:35 -255413.258480] FAST spr round 4 (radius: 25)
[17:09:22 -255386.952075] FAST spr round 5 (radius: 25)
[17:11:01 -255386.951262] Model parameter optimization (eps = 1.000000)
[17:11:17 -255372.621845] SLOW spr round 1 (radius: 5)
[17:13:29 -255305.290738] SLOW spr round 2 (radius: 5)
[17:15:34 -255289.957697] SLOW spr round 3 (radius: 5)
[17:17:35 -255286.524993] SLOW spr round 4 (radius: 5)
[17:19:33 -255286.524266] SLOW spr round 5 (radius: 10)
[17:21:37 -255281.333522] SLOW spr round 6 (radius: 5)
[17:23:58 -255274.688349] SLOW spr round 7 (radius: 5)
[17:26:05 -255272.483172] SLOW spr round 8 (radius: 5)
[17:28:07 -255272.483164] SLOW spr round 9 (radius: 10)
[17:30:12 -255271.998695] SLOW spr round 10 (radius: 5)
[17:32:28 -255271.827719] SLOW spr round 11 (radius: 5)
[17:34:34 -255271.827563] SLOW spr round 12 (radius: 10)
[17:36:41 -255271.827563] SLOW spr round 13 (radius: 15)
[17:40:14 -255271.606013] SLOW spr round 14 (radius: 5)
[17:42:37 -255268.200344] SLOW spr round 15 (radius: 5)
[17:44:47 -255268.200333] SLOW spr round 16 (radius: 10)
[17:46:57 -255268.200333] SLOW spr round 17 (radius: 15)
[17:50:25 -255268.200333] SLOW spr round 18 (radius: 20)
[17:55:40 -255265.239267] SLOW spr round 19 (radius: 5)
[17:58:07 -255261.089754] SLOW spr round 20 (radius: 5)
[18:00:18 -255261.089732] SLOW spr round 21 (radius: 10)
[18:02:30 -255261.089731] SLOW spr round 22 (radius: 15)
[18:05:55 -255261.089730] SLOW spr round 23 (radius: 20)
[18:11:07 -255261.089730] SLOW spr round 24 (radius: 25)
[18:17:48 -255261.089730] Model parameter optimization (eps = 0.100000)

[18:17:57] ML tree search #13, logLikelihood: -255260.678032

[18:17:57 -761793.916513] Initial branch length optimization
[18:17:59 -678855.829116] Model parameter optimization (eps = 10.000000)
[18:18:26 -678251.728918] AUTODETECT spr round 1 (radius: 5)
[18:20:27 -513009.223656] AUTODETECT spr round 2 (radius: 10)
[18:22:50 -374804.214563] AUTODETECT spr round 3 (radius: 15)
[18:25:22 -312606.028534] AUTODETECT spr round 4 (radius: 20)
[18:27:46 -289437.640127] AUTODETECT spr round 5 (radius: 25)
[18:30:51 -286020.861745] SPR radius for FAST iterations: 25 (autodetect)
[18:30:51 -286020.861745] Model parameter optimization (eps = 3.000000)
[18:31:07 -285983.529835] FAST spr round 1 (radius: 25)
[18:33:57 -257274.181533] FAST spr round 2 (radius: 25)
[18:36:09 -255686.809194] FAST spr round 3 (radius: 25)
[18:38:06 -255550.548558] FAST spr round 4 (radius: 25)
[18:39:54 -255514.939834] FAST spr round 5 (radius: 25)
[18:41:36 -255513.507441] FAST spr round 6 (radius: 25)
[18:43:13 -255513.507377] Model parameter optimization (eps = 1.000000)
[18:43:31 -255472.643456] SLOW spr round 1 (radius: 5)
[18:45:48 -255392.746592] SLOW spr round 2 (radius: 5)
[18:47:56 -255382.587643] SLOW spr round 3 (radius: 5)
[18:50:03 -255379.418785] SLOW spr round 4 (radius: 5)
[18:52:06 -255377.389712] SLOW spr round 5 (radius: 5)
[18:54:07 -255376.760762] SLOW spr round 6 (radius: 5)
[18:56:07 -255376.760734] SLOW spr round 7 (radius: 10)
[18:58:15 -255376.760733] SLOW spr round 8 (radius: 15)
[19:02:02 -255351.217347] SLOW spr round 9 (radius: 5)
[19:04:28 -255294.351397] SLOW spr round 10 (radius: 5)
[19:06:44 -255284.325091] SLOW spr round 11 (radius: 5)
[19:08:50 -255282.000848] SLOW spr round 12 (radius: 5)
[19:10:51 -255282.000776] SLOW spr round 13 (radius: 10)
[19:12:58 -255279.398191] SLOW spr round 14 (radius: 5)
[19:15:18 -255278.121806] SLOW spr round 15 (radius: 5)
[19:17:27 -255277.697681] SLOW spr round 16 (radius: 5)
[19:19:29 -255277.697672] SLOW spr round 17 (radius: 10)
[19:21:36 -255277.697672] SLOW spr round 18 (radius: 15)
[19:25:17 -255267.241229] SLOW spr round 19 (radius: 5)
[19:27:42 -255260.874938] SLOW spr round 20 (radius: 5)
[19:29:52 -255260.874933] SLOW spr round 21 (radius: 10)
[19:32:04 -255260.874933] SLOW spr round 22 (radius: 15)
[19:35:36 -255260.874933] SLOW spr round 23 (radius: 20)
[19:40:56 -255260.874933] SLOW spr round 24 (radius: 25)
[19:47:40 -255260.874933] Model parameter optimization (eps = 0.100000)

[19:47:50] ML tree search #14, logLikelihood: -255260.221418

[19:47:50 -761629.643616] Initial branch length optimization
[19:47:52 -677955.879782] Model parameter optimization (eps = 10.000000)
[19:48:21 -677324.342661] AUTODETECT spr round 1 (radius: 5)
[19:50:23 -516135.731113] AUTODETECT spr round 2 (radius: 10)
[19:52:45 -359829.742749] AUTODETECT spr round 3 (radius: 15)
[19:55:17 -301942.297836] AUTODETECT spr round 4 (radius: 20)
[19:57:51 -286537.384383] AUTODETECT spr round 5 (radius: 25)
[20:00:32 -281470.454317] SPR radius for FAST iterations: 25 (autodetect)
[20:00:32 -281470.454317] Model parameter optimization (eps = 3.000000)
[20:00:57 -281409.817525] FAST spr round 1 (radius: 25)
[20:03:34 -257403.921819] FAST spr round 2 (radius: 25)
[20:05:41 -255806.224101] FAST spr round 3 (radius: 25)
[20:07:33 -255590.144682] FAST spr round 4 (radius: 25)
[20:09:19 -255559.546529] FAST spr round 5 (radius: 25)
[20:10:59 -255554.558259] FAST spr round 6 (radius: 25)
[20:12:38 -255546.271679] FAST spr round 7 (radius: 25)
[20:14:15 -255546.271651] Model parameter optimization (eps = 1.000000)
[20:14:31 -255499.898504] SLOW spr round 1 (radius: 5)
[20:16:40 -255415.176825] SLOW spr round 2 (radius: 5)
[20:18:48 -255401.946823] SLOW spr round 3 (radius: 5)
[20:20:52 -255397.293518] SLOW spr round 4 (radius: 5)
[20:22:53 -255396.028407] SLOW spr round 5 (radius: 5)
[20:24:52 -255396.028312] SLOW spr round 6 (radius: 10)
[20:27:01 -255391.333381] SLOW spr round 7 (radius: 5)
[20:29:20 -255384.894408] SLOW spr round 8 (radius: 5)
[20:31:29 -255384.344078] SLOW spr round 9 (radius: 5)
[20:33:33 -255384.344076] SLOW spr round 10 (radius: 10)
[20:35:43 -255382.025188] SLOW spr round 11 (radius: 5)
[20:38:02 -255381.784374] SLOW spr round 12 (radius: 5)
[20:40:09 -255381.784371] SLOW spr round 13 (radius: 10)
[20:42:23 -255381.784371] SLOW spr round 14 (radius: 15)
[20:45:44 -255381.784371] SLOW spr round 15 (radius: 20)
[20:50:50 -255379.993996] SLOW spr round 16 (radius: 5)
[20:53:18 -255377.175879] SLOW spr round 17 (radius: 5)
[20:55:32 -255374.712870] SLOW spr round 18 (radius: 5)
[20:57:37 -255374.712285] SLOW spr round 19 (radius: 10)
[20:59:48 -255374.712275] SLOW spr round 20 (radius: 15)
[21:03:10 -255374.070984] SLOW spr round 21 (radius: 5)
[21:05:34 -255373.637910] SLOW spr round 22 (radius: 5)
[21:07:45 -255373.637812] SLOW spr round 23 (radius: 10)
[21:10:00 -255373.637802] SLOW spr round 24 (radius: 15)
[21:13:19 -255373.637800] SLOW spr round 25 (radius: 20)
[21:18:30 -255373.637800] SLOW spr round 26 (radius: 25)
[21:25:06 -255373.637800] Model parameter optimization (eps = 0.100000)

[21:25:17] ML tree search #15, logLikelihood: -255373.155414

[21:25:17 -761873.072262] Initial branch length optimization
[21:25:20 -678417.123163] Model parameter optimization (eps = 10.000000)
[21:25:47 -677770.243611] AUTODETECT spr round 1 (radius: 5)
[21:27:48 -513421.784977] AUTODETECT spr round 2 (radius: 10)
[21:30:13 -364631.094897] AUTODETECT spr round 3 (radius: 15)
[21:32:47 -297711.791202] AUTODETECT spr round 4 (radius: 20)
[21:35:33 -283503.028362] AUTODETECT spr round 5 (radius: 25)
[21:38:50 -281991.237007] SPR radius for FAST iterations: 25 (autodetect)
[21:38:50 -281991.237007] Model parameter optimization (eps = 3.000000)
[21:39:14 -281927.682966] FAST spr round 1 (radius: 25)
[21:42:02 -256685.002968] FAST spr round 2 (radius: 25)
[21:44:12 -255572.581768] FAST spr round 3 (radius: 25)
[21:46:12 -255469.451192] FAST spr round 4 (radius: 25)
[21:48:03 -255439.120930] FAST spr round 5 (radius: 25)
[21:49:44 -255435.593334] FAST spr round 6 (radius: 25)
[21:51:22 -255435.593332] Model parameter optimization (eps = 1.000000)
[21:51:40 -255422.279845] SLOW spr round 1 (radius: 5)
[21:53:52 -255329.310218] SLOW spr round 2 (radius: 5)
[21:55:58 -255314.696973] SLOW spr round 3 (radius: 5)
[21:58:00 -255312.762612] SLOW spr round 4 (radius: 5)
[22:00:03 -255308.194773] SLOW spr round 5 (radius: 5)
[22:02:03 -255308.194391] SLOW spr round 6 (radius: 10)
[22:04:10 -255296.617421] SLOW spr round 7 (radius: 5)
[22:06:34 -255287.293103] SLOW spr round 8 (radius: 5)
[22:08:43 -255285.892839] SLOW spr round 9 (radius: 5)
[22:10:49 -255280.884767] SLOW spr round 10 (radius: 5)
[22:12:50 -255280.884708] SLOW spr round 11 (radius: 10)
[22:14:57 -255280.035311] SLOW spr round 12 (radius: 5)
[22:17:15 -255280.035248] SLOW spr round 13 (radius: 10)
[22:19:34 -255279.900820] SLOW spr round 14 (radius: 5)
[22:21:51 -255279.507784] SLOW spr round 15 (radius: 5)
[22:23:58 -255279.507592] SLOW spr round 16 (radius: 10)
[22:26:08 -255279.507592] SLOW spr round 17 (radius: 15)
[22:29:29 -255279.507592] SLOW spr round 18 (radius: 20)
[22:34:09 -255279.507592] SLOW spr round 19 (radius: 25)
[22:40:03 -255276.649484] SLOW spr round 20 (radius: 5)
[22:42:31 -255276.580167] SLOW spr round 21 (radius: 10)
[22:45:01 -255276.580109] SLOW spr round 22 (radius: 15)
[22:48:15 -255276.580109] SLOW spr round 23 (radius: 20)
[22:53:03 -255276.580109] SLOW spr round 24 (radius: 25)
[22:58:57 -255276.580109] Model parameter optimization (eps = 0.100000)

[22:59:10] ML tree search #16, logLikelihood: -255275.908557

[22:59:10 -761427.285056] Initial branch length optimization
[22:59:12 -677820.434412] Model parameter optimization (eps = 10.000000)
[22:59:36 -677191.137073] AUTODETECT spr round 1 (radius: 5)
[23:01:38 -512149.277084] AUTODETECT spr round 2 (radius: 10)
[23:03:59 -363583.160847] AUTODETECT spr round 3 (radius: 15)
[23:06:27 -304833.232945] AUTODETECT spr round 4 (radius: 20)
[23:09:01 -289975.901367] AUTODETECT spr round 5 (radius: 25)
[23:12:04 -284451.377268] SPR radius for FAST iterations: 25 (autodetect)
[23:12:04 -284451.377268] Model parameter optimization (eps = 3.000000)
[23:12:34 -284404.122551] FAST spr round 1 (radius: 25)
[23:15:13 -257711.854341] FAST spr round 2 (radius: 25)
[23:17:26 -255636.750078] FAST spr round 3 (radius: 25)
[23:19:24 -255435.524111] FAST spr round 4 (radius: 25)
[23:21:09 -255427.483063] FAST spr round 5 (radius: 25)
[23:22:49 -255427.483047] Model parameter optimization (eps = 1.000000)
[23:23:05 -255396.302958] SLOW spr round 1 (radius: 5)
[23:25:19 -255329.344346] SLOW spr round 2 (radius: 5)
[23:27:26 -255323.204549] SLOW spr round 3 (radius: 5)
[23:29:26 -255323.204405] SLOW spr round 4 (radius: 10)
[23:31:32 -255313.603768] SLOW spr round 5 (radius: 5)
[23:33:57 -255299.626053] SLOW spr round 6 (radius: 5)
[23:36:05 -255297.567964] SLOW spr round 7 (radius: 5)
[23:38:08 -255297.461372] SLOW spr round 8 (radius: 5)
[23:40:09 -255297.461314] SLOW spr round 9 (radius: 10)
[23:42:14 -255294.890056] SLOW spr round 10 (radius: 5)
[23:44:32 -255294.889860] SLOW spr round 11 (radius: 10)
[23:46:49 -255294.889860] SLOW spr round 12 (radius: 15)
[23:50:03 -255294.889860] SLOW spr round 13 (radius: 20)
[23:54:58 -255294.889860] SLOW spr round 14 (radius: 25)
[24:01:06 -255293.703747] SLOW spr round 15 (radius: 5)
[24:03:34 -255292.328063] SLOW spr round 16 (radius: 5)
[24:05:45 -255292.327839] SLOW spr round 17 (radius: 10)
[24:07:57 -255292.327832] SLOW spr round 18 (radius: 15)
[24:11:13 -255292.327831] SLOW spr round 19 (radius: 20)
[24:15:59 -255292.327831] SLOW spr round 20 (radius: 25)
[24:22:05 -255292.327831] Model parameter optimization (eps = 0.100000)

[24:22:15] ML tree search #17, logLikelihood: -255292.179754

[24:22:15 -759309.633608] Initial branch length optimization
[24:22:18 -676126.918947] Model parameter optimization (eps = 10.000000)
[24:22:42 -675517.616646] AUTODETECT spr round 1 (radius: 5)
[24:24:43 -508377.154360] AUTODETECT spr round 2 (radius: 10)
[24:27:06 -355156.071193] AUTODETECT spr round 3 (radius: 15)
[24:29:20 -304360.441093] AUTODETECT spr round 4 (radius: 20)
[24:31:55 -290070.859867] AUTODETECT spr round 5 (radius: 25)
[24:34:53 -282933.962426] SPR radius for FAST iterations: 25 (autodetect)
[24:34:53 -282933.962426] Model parameter optimization (eps = 3.000000)
[24:35:16 -282893.491590] FAST spr round 1 (radius: 25)
[24:38:02 -256412.931622] FAST spr round 2 (radius: 25)
[24:40:15 -255550.343706] FAST spr round 3 (radius: 25)
[24:42:16 -255463.346834] FAST spr round 4 (radius: 25)
[24:44:01 -255456.964109] FAST spr round 5 (radius: 25)
[24:45:41 -255456.467589] FAST spr round 6 (radius: 25)
[24:47:19 -255456.467557] Model parameter optimization (eps = 1.000000)
[24:47:38 -255421.338488] SLOW spr round 1 (radius: 5)
[24:49:50 -255324.662138] SLOW spr round 2 (radius: 5)
[24:51:56 -255307.626774] SLOW spr round 3 (radius: 5)
[24:54:02 -255291.177449] SLOW spr round 4 (radius: 5)
[24:56:03 -255286.624145] SLOW spr round 5 (radius: 5)
[24:58:07 -255280.128031] SLOW spr round 6 (radius: 5)
[25:00:09 -255276.066586] SLOW spr round 7 (radius: 5)
[25:02:08 -255276.066574] SLOW spr round 8 (radius: 10)
[25:04:15 -255266.853467] SLOW spr round 9 (radius: 5)
[25:06:32 -255264.764073] SLOW spr round 10 (radius: 5)
[25:08:39 -255264.764038] SLOW spr round 11 (radius: 10)
[25:10:48 -255261.155686] SLOW spr round 12 (radius: 5)
[25:13:06 -255259.739307] SLOW spr round 13 (radius: 5)
[25:15:13 -255259.739301] SLOW spr round 14 (radius: 10)
[25:17:21 -255258.316794] SLOW spr round 15 (radius: 5)
[25:19:38 -255258.316667] SLOW spr round 16 (radius: 10)
[25:21:54 -255255.385150] SLOW spr round 17 (radius: 5)
[25:24:12 -255244.268698] SLOW spr round 18 (radius: 5)
[25:26:19 -255244.268677] SLOW spr round 19 (radius: 10)
[25:28:28 -255243.594584] SLOW spr round 20 (radius: 5)
[25:30:46 -255242.825601] SLOW spr round 21 (radius: 5)
[25:32:52 -255242.825190] SLOW spr round 22 (radius: 10)
[25:35:01 -255242.825185] SLOW spr round 23 (radius: 15)
[25:38:24 -255242.825185] SLOW spr round 24 (radius: 20)
[25:43:16 -255242.825185] SLOW spr round 25 (radius: 25)
[25:49:23 -255242.825185] Model parameter optimization (eps = 0.100000)

[25:49:34] ML tree search #18, logLikelihood: -255242.594475

[25:49:34 -758465.248291] Initial branch length optimization
[25:49:37 -676595.184995] Model parameter optimization (eps = 10.000000)
[25:50:04 -676067.527477] AUTODETECT spr round 1 (radius: 5)
[25:52:07 -520971.720961] AUTODETECT spr round 2 (radius: 10)
[25:54:29 -373810.969043] AUTODETECT spr round 3 (radius: 15)
[25:56:50 -309492.296934] AUTODETECT spr round 4 (radius: 20)
[25:59:35 -287795.250675] AUTODETECT spr round 5 (radius: 25)
[26:02:43 -286012.985550] SPR radius for FAST iterations: 25 (autodetect)
[26:02:43 -286012.985550] Model parameter optimization (eps = 3.000000)
[26:03:05 -285945.253427] FAST spr round 1 (radius: 25)
[26:05:50 -256712.294743] FAST spr round 2 (radius: 25)
[26:08:01 -255561.397302] FAST spr round 3 (radius: 25)
[26:09:59 -255426.758248] FAST spr round 4 (radius: 25)
[26:11:48 -255401.492835] FAST spr round 5 (radius: 25)
[26:13:29 -255401.492125] Model parameter optimization (eps = 1.000000)
[26:13:43 -255391.366235] SLOW spr round 1 (radius: 5)
[26:15:55 -255304.204547] SLOW spr round 2 (radius: 5)
[26:18:01 -255297.339869] SLOW spr round 3 (radius: 5)
[26:20:02 -255297.339761] SLOW spr round 4 (radius: 10)
[26:22:08 -255295.757470] SLOW spr round 5 (radius: 5)
[26:24:28 -255289.915483] SLOW spr round 6 (radius: 5)
[26:26:36 -255286.308258] SLOW spr round 7 (radius: 5)
[26:28:38 -255286.048347] SLOW spr round 8 (radius: 5)
[26:30:40 -255283.883821] SLOW spr round 9 (radius: 5)
[26:32:40 -255283.883744] SLOW spr round 10 (radius: 10)
[26:34:45 -255279.629204] SLOW spr round 11 (radius: 5)
[26:37:04 -255277.354374] SLOW spr round 12 (radius: 5)
[26:39:11 -255277.354319] SLOW spr round 13 (radius: 10)
[26:41:20 -255277.354314] SLOW spr round 14 (radius: 15)
[26:44:44 -255276.271074] SLOW spr round 15 (radius: 5)
[26:47:06 -255276.270632] SLOW spr round 16 (radius: 10)
[26:49:30 -255276.270620] SLOW spr round 17 (radius: 15)
[26:52:47 -255276.270614] SLOW spr round 18 (radius: 20)
[26:57:47 -255276.270609] SLOW spr round 19 (radius: 25)
[27:04:29 -255276.270604] Model parameter optimization (eps = 0.100000)

[27:04:36] ML tree search #19, logLikelihood: -255276.007476

[27:04:36 -759272.549801] Initial branch length optimization
[27:04:39 -676107.669320] Model parameter optimization (eps = 10.000000)
[27:05:04 -675520.737539] AUTODETECT spr round 1 (radius: 5)
[27:07:07 -520259.683027] AUTODETECT spr round 2 (radius: 10)
[27:09:26 -374255.386882] AUTODETECT spr round 3 (radius: 15)
[27:12:01 -304234.915197] AUTODETECT spr round 4 (radius: 20)
[27:14:47 -286642.482277] AUTODETECT spr round 5 (radius: 25)
[27:17:52 -283898.882986] SPR radius for FAST iterations: 25 (autodetect)
[27:17:52 -283898.882986] Model parameter optimization (eps = 3.000000)
[27:18:13 -283869.387907] FAST spr round 1 (radius: 25)
[27:20:55 -256767.395143] FAST spr round 2 (radius: 25)
[27:23:09 -255642.204952] FAST spr round 3 (radius: 25)
[27:25:07 -255538.899663] FAST spr round 4 (radius: 25)
[27:26:53 -255526.519301] FAST spr round 5 (radius: 25)
[27:28:36 -255523.682054] FAST spr round 6 (radius: 25)
[27:30:15 -255523.682051] Model parameter optimization (eps = 1.000000)
[27:30:35 -255479.813238] SLOW spr round 1 (radius: 5)
[27:32:46 -255379.728519] SLOW spr round 2 (radius: 5)
[27:34:55 -255359.773454] SLOW spr round 3 (radius: 5)
[27:36:58 -255357.882378] SLOW spr round 4 (radius: 5)
[27:39:00 -255356.368000] SLOW spr round 5 (radius: 5)
[27:41:01 -255356.367906] SLOW spr round 6 (radius: 10)
[27:43:10 -255336.977214] SLOW spr round 7 (radius: 5)
[27:45:34 -255315.255163] SLOW spr round 8 (radius: 5)
[27:47:44 -255315.255118] SLOW spr round 9 (radius: 10)
[27:49:57 -255314.913483] SLOW spr round 10 (radius: 5)
[27:52:18 -255314.913391] SLOW spr round 11 (radius: 10)
[27:54:41 -255314.913390] SLOW spr round 12 (radius: 15)
[27:58:03 -255314.843025] SLOW spr round 13 (radius: 20)
[28:03:20 -255314.842911] SLOW spr round 14 (radius: 25)
[28:10:01 -255314.842910] Model parameter optimization (eps = 0.100000)

[28:10:09] ML tree search #20, logLikelihood: -255314.466207


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.184220,0.170609) (0.100265,0.307143) (0.393068,0.827380) (0.322447,1.899715) 
   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: -255242.594475

AIC score: 514495.188950 / AICc score: 8558555.188950 / BIC score: 523172.702202
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=560).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 118 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UK11/3_mltree/Q9UK11.raxml.log

Analysis started: 30-Jun-2021 17:44:42 / finished: 01-Jul-2021 21:54:51

Elapsed time: 101409.136 seconds

Consumed energy: 6444.349 Wh (= 32 km in an electric car, or 161 km with an e-scooter!)