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 04-Jul-2021 08:55:08 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/2_msa/Q9NRC6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/3_mltree/Q9NRC6 --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/Q9NRC6/2_msa/Q9NRC6_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 566 sites

WARNING: Sequences sp_P05094_ACTN1_CHICK_9031 and tr_A0A1V4KFA3_A0A1V4KFA3_PATFA_372326 are exactly identical!
WARNING: Sequences sp_P05094_ACTN1_CHICK_9031 and tr_A0A218UIK4_A0A218UIK4_9PASE_299123 are exactly identical!
WARNING: Sequences sp_P20111_ACTN2_CHICK_9031 and tr_G1NGT5_G1NGT5_MELGA_9103 are exactly identical!
WARNING: Sequences sp_O88990_ACTN3_MOUSE_10090 and tr_Q8R4I6_Q8R4I6_RAT_10116 are exactly identical!
WARNING: Sequences sp_P57780_ACTN4_MOUSE_10090 and sp_Q9QXQ0_ACTN4_RAT_10116 are exactly identical!
WARNING: Sequences sp_P57780_ACTN4_MOUSE_10090 and tr_A0A287D3N7_A0A287D3N7_ICTTR_43179 are exactly identical!
WARNING: Sequences sp_P57780_ACTN4_MOUSE_10090 and tr_A0A3Q0CD83_A0A3Q0CD83_MESAU_10036 are exactly identical!
WARNING: Sequences sp_Q9JI91_ACTN2_MOUSE_10090 and tr_D3ZCV0_D3ZCV0_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q9JI91_ACTN2_MOUSE_10090 and tr_I3M9L2_I3M9L2_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_M3Y7F4_M3Y7F4_MUSPF_9669 and tr_A0A2Y9JK69_A0A2Y9JK69_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_E2QUQ0_E2QUQ0_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_A0A2I3S2J2_A0A2I3S2J2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_W5P0L8_W5P0L8_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_H0VPZ1_H0VPZ1_CAVPO_10141 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_G5APM7_G5APM7_HETGA_10181 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_F6WKC6_F6WKC6_CALJA_9483 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_F1RHL9_F1RHL9_PIG_9823 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_G1L2Z4_G1L2Z4_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and sp_Q3ZC55_ACTN2_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_A0A091EFV2_A0A091EFV2_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_A0A0D9RBH8_A0A0D9RBH8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_A0A2K6E8I1_A0A2K6E8I1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_A0A2U3Y3N1_A0A2U3Y3N1_LEPWE_9713 are exactly identical!
WARNING: Sequences sp_P18091_ACTN_DROME_7227 and tr_A0A1W4VEA9_A0A1W4VEA9_DROFC_30025 are exactly identical!
WARNING: Sequences tr_A0A2I3GFP9_A0A2I3GFP9_NOMLE_61853 and tr_G3QSY2_G3QSY2_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3GFP9_A0A2I3GFP9_NOMLE_61853 and tr_A0A2K6CB71_A0A2K6CB71_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0D8JUP7_A0A0D8JUP7_COCIM_246410 and tr_E9DI27_E9DI27_COCPS_443226 are exactly identical!
WARNING: Sequences tr_A0A0D8JUP7_A0A0D8JUP7_COCIM_246410 and tr_A0A0J6Y5M8_A0A0J6Y5M8_COCIT_404692 are exactly identical!
WARNING: Sequences tr_A0A2I2ZV52_A0A2I2ZV52_GORGO_9595 and tr_F6VRJ5_F6VRJ5_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2ZV52_A0A2I2ZV52_GORGO_9595 and tr_A0A2K5N9D6_A0A2K5N9D6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2ZV52_A0A2I2ZV52_GORGO_9595 and tr_A0A2Y9JAQ2_A0A2Y9JAQ2_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_E2QY08_E2QY08_CANLF_9615 and tr_A0A2U3ZCZ8_A0A2U3ZCZ8_ODORO_9708 are exactly identical!
WARNING: Sequences tr_E2R5T9_E2R5T9_CANLF_9615 and tr_A0A287AA30_A0A287AA30_PIG_9823 are exactly identical!
WARNING: Sequences tr_E2R5T9_E2R5T9_CANLF_9615 and sp_A5D7D1_ACTN4_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_E2R5T9_E2R5T9_CANLF_9615 and tr_A0A1S3AGC3_A0A1S3AGC3_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_E2RSI4_E2RSI4_CANLF_9615 and tr_G1LWK1_G1LWK1_AILME_9646 are exactly identical!
WARNING: Sequences tr_E2RSI4_E2RSI4_CANLF_9615 and tr_A0A2I2U9P4_A0A2I2U9P4_FELCA_9685 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and sp_O43707_ACTN4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_F7HU82_F7HU82_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A0A0MU58_A0A0A0MU58_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A0D9QVJ0_A0A0D9QVJ0_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A2K5LF87_A0A2K5LF87_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A2R9C199_A0A2R9C199_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2J8QB90_A0A2J8QB90_PANTR_9598 and sp_O15020_SPTN2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8QB90_A0A2J8QB90_PANTR_9598 and tr_A0A2R9A0X1_A0A2R9A0X1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F9FB66_F9FB66_FUSOF_660025 and tr_A0A0D2XE00_A0A0D2XE00_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9FB66_F9FB66_FUSOF_660025 and tr_X0D2U0_X0D2U0_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FB66_F9FB66_FUSOF_660025 and tr_A0A2H3TC30_A0A2H3TC30_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9FB66_F9FB66_FUSOF_660025 and tr_A0A2H3H7W9_A0A2H3H7W9_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_A0A158NJ82_A0A158NJ82_ATTCE_12957 and tr_A0A151JNA1_A0A151JNA1_9HYME_471704 are exactly identical!
WARNING: Sequences sp_P12814_ACTN1_HUMAN_9606 and tr_A0A2R9BFF0_A0A2R9BFF0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A0D9RKZ5_A0A0D9RKZ5_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K5N6P5_A0A2K5N6P5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K6CYT7_A0A2K6CYT7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K5ZZ84_A0A2K5ZZ84_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A096MRI4_A0A096MRI4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A2K5MSA6_A0A2K5MSA6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A2K6C4H3_A0A2K6C4H3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A2K5ZBW9_A0A2K5ZBW9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7HAE6_F7HAE6_MACMU_9544 and tr_A0A2K6B5J1_A0A2K6B5J1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H0ZJL3_H0ZJL3_TAEGU_59729 and tr_U3KG99_U3KG99_FICAL_59894 are exactly identical!
WARNING: Sequences tr_H0ZJL3_H0ZJL3_TAEGU_59729 and tr_A0A091EB51_A0A091EB51_CORBR_85066 are exactly identical!
WARNING: Sequences tr_H0ZJL3_H0ZJL3_TAEGU_59729 and tr_A0A091ITG1_A0A091ITG1_CALAN_9244 are exactly identical!
WARNING: Sequences tr_G2YIJ6_G2YIJ6_BOTF4_999810 and tr_M7UL09_M7UL09_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_A0A0Q9WG66_A0A0Q9WG66_DROVI_7244 and tr_B4L2K7_B4L2K7_DROMO_7230 are exactly identical!
WARNING: Sequences tr_G7NWN5_G7NWN5_MACFA_9541 and tr_F1MRD4_F1MRD4_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q3B7N2_ACTN1_BOVIN_9913 and tr_L5KEC5_L5KEC5_PTEAL_9402 are exactly identical!
WARNING: Sequences sp_Q3B7N2_ACTN1_BOVIN_9913 and tr_A0A2I2UNZ9_A0A2I2UNZ9_FELCA_9685 are exactly identical!
WARNING: Sequences sp_Q3B7N2_ACTN1_BOVIN_9913 and tr_A0A384AAW7_A0A384AAW7_BALAS_310752 are exactly identical!
WARNING: Sequences tr_L0P961_L0P961_PNEJ8_1209962 and tr_A0A0W4ZTP2_A0A0W4ZTP2_PNEJ7_1408657 are exactly identical!
WARNING: Sequences tr_A0A059IXW0_A0A059IXW0_9EURO_1215338 and tr_A0A178F4W9_A0A178F4W9_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_A0A094EK08_A0A094EK08_9PEZI_1420912 and tr_A0A1B8GA32_A0A1B8GA32_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A0N0DFS7_A0A0N0DFS7_FUSLA_179993 and tr_A0A1B8ADL0_A0A1B8ADL0_FUSPO_36050 are exactly identical!
WARNING: Sequences tr_A0A151MB02_A0A151MB02_ALLMI_8496 and tr_A0A1U7S444_A0A1U7S444_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A093PDP3_A0A093PDP3_9PASS_328815 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A091VVI2_A0A091VVI2_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A091VWV9_A0A091VWV9_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A091G7Q0_A0A091G7Q0_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A0A0ADT3_A0A0A0ADT3_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 and tr_A0A091HM09_A0A091HM09_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A093PUC7_A0A093PUC7_9PASS_328815 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A091UMG4_A0A091UMG4_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A087R6Z3_A0A087R6Z3_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A091W2J4_A0A091W2J4_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A091G6Y8_A0A091G6Y8_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A0A0AHU9_A0A0A0AHU9_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A2I0MTN9_A0A2I0MTN9_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A1V4JKI3_A0A1V4JKI3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V0X125_A0A0V0X125_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V0VNJ7_A0A0V0VNJ7_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V1KXT2_A0A0V1KXT2_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V0ZNF3_A0A0V0ZNF3_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V1PGG1_A0A0V1PGG1_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V0TZT7_A0A0V0TZT7_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1MMA7_A0A0V1MMA7_9BILA_268474 and tr_A0A0V1HR16_A0A0V1HR16_9BILA_268475 are exactly identical!
WARNING: Sequences tr_I1RSZ6_I1RSZ6_GIBZE_229533 and tr_A0A2T4H295_A0A2T4H295_FUSCU_5516 are exactly identical!
WARNING: Sequences tr_A0A1S3RGX6_A0A1S3RGX6_SALSA_8030 and tr_A0A060X3E0_A0A060X3E0_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1B8C860_A0A1B8C860_9PEZI_1622147 and tr_A0A1B8EUP4_A0A1B8EUP4_9PEZI_1622149 are exactly identical!
WARNING: Sequences tr_A0A226MMP2_A0A226MMP2_CALSU_9009 and tr_A0A226NYA9_A0A226NYA9_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0RQD2_A0A2D0RQD2_ICTPU_7998 and tr_A0A2D0RR08_A0A2D0RR08_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U3VN12_A0A2U3VN12_ODORO_9708 and tr_A0A2U3Y6U3_A0A2U3Y6U3_LEPWE_9713 are exactly identical!
WARNING: Duplicate sequences found: 101

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/Q9NRC6/3_mltree/Q9NRC6.raxml.reduced.phy

Alignment comprises 1 partitions and 566 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 566 / 566
Gaps: 5.55 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/3_mltree/Q9NRC6.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 / 81 / 6480
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -873605.599051] Initial branch length optimization
[00:00:03 -680682.499785] Model parameter optimization (eps = 10.000000)
[00:00:37 -679604.383934] AUTODETECT spr round 1 (radius: 5)
[00:02:21 -440645.838780] AUTODETECT spr round 2 (radius: 10)
[00:04:15 -334284.234844] AUTODETECT spr round 3 (radius: 15)
[00:06:18 -282334.902006] AUTODETECT spr round 4 (radius: 20)
[00:08:27 -230817.396373] AUTODETECT spr round 5 (radius: 25)
[00:10:38 -204539.432194] SPR radius for FAST iterations: 25 (autodetect)
[00:10:39 -204539.432194] Model parameter optimization (eps = 3.000000)
[00:10:59 -204240.000681] FAST spr round 1 (radius: 25)
[00:13:04 -166803.361596] FAST spr round 2 (radius: 25)
[00:14:46 -165254.078024] FAST spr round 3 (radius: 25)
[00:16:27 -165183.241743] FAST spr round 4 (radius: 25)
[00:17:55 -165177.131706] FAST spr round 5 (radius: 25)
[00:19:22 -165177.131329] Model parameter optimization (eps = 1.000000)
[00:19:37 -165168.740317] SLOW spr round 1 (radius: 5)
[00:21:28 -165107.141705] SLOW spr round 2 (radius: 5)
[00:23:14 -165101.722702] SLOW spr round 3 (radius: 5)
[00:24:58 -165100.296928] SLOW spr round 4 (radius: 5)
[00:26:41 -165100.295400] SLOW spr round 5 (radius: 10)
[00:28:27 -165100.283321] SLOW spr round 6 (radius: 15)
[00:30:58 -165100.282879] SLOW spr round 7 (radius: 20)
[00:34:25 -165098.754034] SLOW spr round 8 (radius: 5)
[00:36:45 -165098.700704] SLOW spr round 9 (radius: 10)
[00:38:55 -165098.698899] SLOW spr round 10 (radius: 15)
[00:41:26 -165098.698545] SLOW spr round 11 (radius: 20)
[00:44:59 -165098.698470] SLOW spr round 12 (radius: 25)
[00:49:33 -165098.698449] Model parameter optimization (eps = 0.100000)

[00:49:43] ML tree search #1, logLikelihood: -165098.235662

[00:49:43 -874881.340973] Initial branch length optimization
[00:49:46 -686650.263293] Model parameter optimization (eps = 10.000000)
[00:50:22 -685595.707290] AUTODETECT spr round 1 (radius: 5)
[00:52:14 -450931.109281] AUTODETECT spr round 2 (radius: 10)
[00:54:09 -325007.893583] AUTODETECT spr round 3 (radius: 15)
[00:56:11 -278155.811290] AUTODETECT spr round 4 (radius: 20)
[00:58:31 -232977.133483] AUTODETECT spr round 5 (radius: 25)
[01:01:03 -223306.046604] SPR radius for FAST iterations: 25 (autodetect)
[01:01:03 -223306.046604] Model parameter optimization (eps = 3.000000)
[01:01:28 -223047.220614] FAST spr round 1 (radius: 25)
[01:03:36 -169585.600092] FAST spr round 2 (radius: 25)
[01:05:23 -165536.691324] FAST spr round 3 (radius: 25)
[01:06:59 -165168.648959] FAST spr round 4 (radius: 25)
[01:08:29 -165152.373805] FAST spr round 5 (radius: 25)
[01:09:55 -165145.924586] FAST spr round 6 (radius: 25)
[01:11:19 -165144.300871] FAST spr round 7 (radius: 25)
[01:12:43 -165144.300427] Model parameter optimization (eps = 1.000000)
[01:12:55 -165134.496574] SLOW spr round 1 (radius: 5)
[01:14:39 -165097.507069] SLOW spr round 2 (radius: 5)
[01:16:22 -165097.458725] SLOW spr round 3 (radius: 10)
[01:18:06 -165097.253630] SLOW spr round 4 (radius: 5)
[01:20:07 -165097.232435] SLOW spr round 5 (radius: 10)
[01:22:08 -165097.232356] SLOW spr round 6 (radius: 15)
[01:24:29 -165096.772469] SLOW spr round 7 (radius: 5)
[01:26:36 -165096.772418] SLOW spr round 8 (radius: 10)
[01:28:37 -165096.772369] SLOW spr round 9 (radius: 15)
[01:31:05 -165096.772321] SLOW spr round 10 (radius: 20)
[01:34:35 -165096.772272] SLOW spr round 11 (radius: 25)
[01:39:16 -165096.772224] Model parameter optimization (eps = 0.100000)

[01:39:24] ML tree search #2, logLikelihood: -165096.751989

[01:39:24 -881971.403917] Initial branch length optimization
[01:39:27 -688950.295467] Model parameter optimization (eps = 10.000000)
[01:40:02 -687992.677069] AUTODETECT spr round 1 (radius: 5)
[01:41:55 -445943.791020] AUTODETECT spr round 2 (radius: 10)
[01:43:53 -319961.667128] AUTODETECT spr round 3 (radius: 15)
[01:46:03 -257455.420556] AUTODETECT spr round 4 (radius: 20)
[01:48:28 -224029.842829] AUTODETECT spr round 5 (radius: 25)
[01:51:04 -214855.554617] SPR radius for FAST iterations: 25 (autodetect)
[01:51:04 -214855.554617] Model parameter optimization (eps = 3.000000)
[01:51:22 -214579.822791] FAST spr round 1 (radius: 25)
[01:53:27 -171880.858182] FAST spr round 2 (radius: 25)
[01:55:07 -165754.176985] FAST spr round 3 (radius: 25)
[01:56:42 -165231.906122] FAST spr round 4 (radius: 25)
[01:58:15 -165162.469330] FAST spr round 5 (radius: 25)
[01:59:41 -165160.579901] FAST spr round 6 (radius: 25)
[02:01:04 -165160.579864] Model parameter optimization (eps = 1.000000)
[02:01:19 -165142.493096] SLOW spr round 1 (radius: 5)
[02:03:10 -165113.282612] SLOW spr round 2 (radius: 5)
[02:04:59 -165112.386601] SLOW spr round 3 (radius: 5)
[02:06:46 -165111.836090] SLOW spr round 4 (radius: 5)
[02:08:36 -165108.655847] SLOW spr round 5 (radius: 5)
[02:10:25 -165108.455238] SLOW spr round 6 (radius: 5)
[02:12:07 -165108.455228] SLOW spr round 7 (radius: 10)
[02:13:55 -165107.772878] SLOW spr round 8 (radius: 5)
[02:16:00 -165107.772855] SLOW spr round 9 (radius: 10)
[02:17:57 -165107.772846] SLOW spr round 10 (radius: 15)
[02:20:28 -165107.772845] SLOW spr round 11 (radius: 20)
[02:23:59 -165103.853307] SLOW spr round 12 (radius: 5)
[02:26:15 -165098.135713] SLOW spr round 13 (radius: 5)
[02:28:14 -165098.135652] SLOW spr round 14 (radius: 10)
[02:30:09 -165098.070712] SLOW spr round 15 (radius: 15)
[02:32:39 -165098.069816] SLOW spr round 16 (radius: 20)
[02:36:09 -165098.069643] SLOW spr round 17 (radius: 25)
[02:40:43 -165098.069610] Model parameter optimization (eps = 0.100000)

[02:40:51] ML tree search #3, logLikelihood: -165097.913336

[02:40:52 -886556.950440] Initial branch length optimization
[02:40:55 -690703.307896] Model parameter optimization (eps = 10.000000)
[02:41:22 -689623.924448] AUTODETECT spr round 1 (radius: 5)
[02:43:11 -450566.440249] AUTODETECT spr round 2 (radius: 10)
[02:45:07 -324420.254008] AUTODETECT spr round 3 (radius: 15)
[02:47:05 -272249.861541] AUTODETECT spr round 4 (radius: 20)
[02:49:29 -230785.641645] AUTODETECT spr round 5 (radius: 25)
[02:52:01 -209977.534338] SPR radius for FAST iterations: 25 (autodetect)
[02:52:01 -209977.534338] Model parameter optimization (eps = 3.000000)
[02:52:09 -209895.856053] FAST spr round 1 (radius: 25)
[02:54:17 -169581.507015] FAST spr round 2 (radius: 25)
[02:55:55 -165593.670251] FAST spr round 3 (radius: 25)
[02:57:30 -165418.011626] FAST spr round 4 (radius: 25)
[02:58:59 -165399.588109] FAST spr round 5 (radius: 25)
[03:00:24 -165393.412823] FAST spr round 6 (radius: 25)
[03:01:48 -165393.412681] Model parameter optimization (eps = 1.000000)
[03:02:04 -165165.378966] SLOW spr round 1 (radius: 5)
[03:03:48 -165122.272088] SLOW spr round 2 (radius: 5)
[03:05:32 -165108.132742] SLOW spr round 3 (radius: 5)
[03:07:14 -165108.129205] SLOW spr round 4 (radius: 10)
[03:08:59 -165096.657264] SLOW spr round 5 (radius: 5)
[03:11:00 -165095.975121] SLOW spr round 6 (radius: 5)
[03:12:49 -165095.973935] SLOW spr round 7 (radius: 10)
[03:14:41 -165095.973641] SLOW spr round 8 (radius: 15)
[03:17:12 -165095.973421] SLOW spr round 9 (radius: 20)
[03:20:38 -165095.973253] SLOW spr round 10 (radius: 25)
[03:25:08 -165095.973120] Model parameter optimization (eps = 0.100000)

[03:25:16] ML tree search #4, logLikelihood: -165095.606191

[03:25:16 -881920.216774] Initial branch length optimization
[03:25:20 -688353.656470] Model parameter optimization (eps = 10.000000)
[03:25:52 -687321.977831] AUTODETECT spr round 1 (radius: 5)
[03:27:40 -441685.330233] AUTODETECT spr round 2 (radius: 10)
[03:29:33 -320972.967819] AUTODETECT spr round 3 (radius: 15)
[03:31:35 -242679.057281] AUTODETECT spr round 4 (radius: 20)
[03:33:38 -211664.148250] AUTODETECT spr round 5 (radius: 25)
[03:36:00 -199114.331540] SPR radius for FAST iterations: 25 (autodetect)
[03:36:00 -199114.331540] Model parameter optimization (eps = 3.000000)
[03:36:19 -198839.329503] FAST spr round 1 (radius: 25)
[03:38:20 -167516.018688] FAST spr round 2 (radius: 25)
[03:40:05 -165730.254667] FAST spr round 3 (radius: 25)
[03:41:41 -165402.953966] FAST spr round 4 (radius: 25)
[03:43:10 -165183.965793] FAST spr round 5 (radius: 25)
[03:44:31 -165183.962690] Model parameter optimization (eps = 1.000000)
[03:44:44 -165176.285896] SLOW spr round 1 (radius: 5)
[03:46:29 -165130.330356] SLOW spr round 2 (radius: 5)
[03:48:10 -165128.555221] SLOW spr round 3 (radius: 5)
[03:49:48 -165128.551112] SLOW spr round 4 (radius: 10)
[03:51:31 -165117.068960] SLOW spr round 5 (radius: 5)
[03:53:32 -165116.557153] SLOW spr round 6 (radius: 5)
[03:55:20 -165116.556278] SLOW spr round 7 (radius: 10)
[03:57:11 -165116.556209] SLOW spr round 8 (radius: 15)
[03:59:42 -165116.556146] SLOW spr round 9 (radius: 20)
[04:03:06 -165114.579112] SLOW spr round 10 (radius: 5)
[04:05:14 -165113.104887] SLOW spr round 11 (radius: 5)
[04:07:09 -165113.103041] SLOW spr round 12 (radius: 10)
[04:08:58 -165113.102982] SLOW spr round 13 (radius: 15)
[04:11:20 -165113.102931] SLOW spr round 14 (radius: 20)
[04:14:35 -165113.102879] SLOW spr round 15 (radius: 25)
[04:18:54 -165113.102828] Model parameter optimization (eps = 0.100000)

[04:19:02] ML tree search #5, logLikelihood: -165112.624430

[04:19:02 -891778.179829] Initial branch length optimization
[04:19:05 -692642.443266] Model parameter optimization (eps = 10.000000)
[04:19:41 -691558.398896] AUTODETECT spr round 1 (radius: 5)
[04:21:28 -448306.585763] AUTODETECT spr round 2 (radius: 10)
[04:23:23 -324361.347023] AUTODETECT spr round 3 (radius: 15)
[04:25:24 -274650.539923] AUTODETECT spr round 4 (radius: 20)
[04:27:45 -248795.032112] AUTODETECT spr round 5 (radius: 25)
[04:30:16 -210085.661728] SPR radius for FAST iterations: 25 (autodetect)
[04:30:16 -210085.661728] Model parameter optimization (eps = 3.000000)
[04:30:36 -209828.891449] FAST spr round 1 (radius: 25)
[04:32:38 -169254.709039] FAST spr round 2 (radius: 25)
[04:34:21 -165296.924686] FAST spr round 3 (radius: 25)
[04:35:54 -165163.267892] FAST spr round 4 (radius: 25)
[04:37:22 -165150.907916] FAST spr round 5 (radius: 25)
[04:38:45 -165150.906784] Model parameter optimization (eps = 1.000000)
[04:38:57 -165144.650511] SLOW spr round 1 (radius: 5)
[04:40:41 -165101.861350] SLOW spr round 2 (radius: 5)
[04:42:24 -165088.516929] SLOW spr round 3 (radius: 5)
[04:44:03 -165088.513424] SLOW spr round 4 (radius: 10)
[04:45:47 -165088.512494] SLOW spr round 5 (radius: 15)
[04:48:12 -165088.512346] SLOW spr round 6 (radius: 20)
[04:51:37 -165087.549722] SLOW spr round 7 (radius: 5)
[04:53:52 -165087.543443] SLOW spr round 8 (radius: 10)
[04:55:57 -165087.543390] SLOW spr round 9 (radius: 15)
[04:58:25 -165086.850463] SLOW spr round 10 (radius: 5)
[05:00:38 -165086.850399] SLOW spr round 11 (radius: 10)
[05:02:40 -165086.850347] SLOW spr round 12 (radius: 15)
[05:05:09 -165086.850296] SLOW spr round 13 (radius: 20)
[05:08:39 -165086.850271] SLOW spr round 14 (radius: 25)
[05:13:13 -165086.850271] Model parameter optimization (eps = 0.100000)

[05:13:18] ML tree search #6, logLikelihood: -165086.758820

[05:13:18 -880016.573016] Initial branch length optimization
[05:13:22 -689563.526364] Model parameter optimization (eps = 10.000000)
[05:14:01 -688528.661782] AUTODETECT spr round 1 (radius: 5)
[05:15:51 -439955.792393] AUTODETECT spr round 2 (radius: 10)
[05:17:50 -321793.316164] AUTODETECT spr round 3 (radius: 15)
[05:19:54 -249461.954861] AUTODETECT spr round 4 (radius: 20)
[05:22:12 -222803.487675] AUTODETECT spr round 5 (radius: 25)
[05:24:47 -212914.550519] SPR radius for FAST iterations: 25 (autodetect)
[05:24:47 -212914.550519] Model parameter optimization (eps = 3.000000)
[05:25:05 -212633.348736] FAST spr round 1 (radius: 25)
[05:27:24 -168528.855637] FAST spr round 2 (radius: 25)
[05:29:20 -165299.287828] FAST spr round 3 (radius: 25)
[05:31:06 -165166.078967] FAST spr round 4 (radius: 25)
[05:32:42 -165158.303897] FAST spr round 5 (radius: 25)
[05:34:11 -165157.194649] FAST spr round 6 (radius: 25)
[05:35:37 -165157.169791] Model parameter optimization (eps = 1.000000)
[05:35:51 -165142.436045] SLOW spr round 1 (radius: 5)
[05:37:41 -165109.309519] SLOW spr round 2 (radius: 5)
[05:39:24 -165104.774079] SLOW spr round 3 (radius: 5)
[05:41:08 -165101.567431] SLOW spr round 4 (radius: 5)
[05:42:52 -165099.829662] SLOW spr round 5 (radius: 5)
[05:44:31 -165099.829399] SLOW spr round 6 (radius: 10)
[05:46:14 -165099.770400] SLOW spr round 7 (radius: 15)
[05:48:38 -165099.770272] SLOW spr round 8 (radius: 20)
[05:51:54 -165099.770225] SLOW spr round 9 (radius: 25)
[05:56:30 -165099.770179] Model parameter optimization (eps = 0.100000)

[05:56:36] ML tree search #7, logLikelihood: -165099.635377

[05:56:36 -878134.486753] Initial branch length optimization
[05:56:40 -687388.879696] Model parameter optimization (eps = 10.000000)
[05:57:11 -686360.845763] AUTODETECT spr round 1 (radius: 5)
[05:59:00 -451631.655899] AUTODETECT spr round 2 (radius: 10)
[06:00:54 -319371.582696] AUTODETECT spr round 3 (radius: 15)
[06:02:55 -249211.889763] AUTODETECT spr round 4 (radius: 20)
[06:05:07 -229024.854757] AUTODETECT spr round 5 (radius: 25)
[06:07:42 -209917.912313] SPR radius for FAST iterations: 25 (autodetect)
[06:07:42 -209917.912313] Model parameter optimization (eps = 3.000000)
[06:08:05 -209567.748863] FAST spr round 1 (radius: 25)
[06:10:10 -170570.418635] FAST spr round 2 (radius: 25)
[06:11:56 -165496.994906] FAST spr round 3 (radius: 25)
[06:13:32 -165160.249939] FAST spr round 4 (radius: 25)
[06:15:01 -165147.497595] FAST spr round 5 (radius: 25)
[06:16:26 -165147.494701] Model parameter optimization (eps = 1.000000)
[06:16:40 -165142.508160] SLOW spr round 1 (radius: 5)
[06:18:31 -165123.496965] SLOW spr round 2 (radius: 5)
[06:20:20 -165123.275614] SLOW spr round 3 (radius: 5)
[06:22:06 -165123.274861] SLOW spr round 4 (radius: 10)
[06:23:58 -165123.268367] SLOW spr round 5 (radius: 15)
[06:26:24 -165123.268296] SLOW spr round 6 (radius: 20)
[06:29:43 -165123.268241] SLOW spr round 7 (radius: 25)
[06:34:13 -165123.268187] Model parameter optimization (eps = 0.100000)

[06:34:21] ML tree search #8, logLikelihood: -165123.024274

[06:34:21 -882843.703034] Initial branch length optimization
[06:34:24 -688061.366208] Model parameter optimization (eps = 10.000000)
[06:34:58 -687001.363948] AUTODETECT spr round 1 (radius: 5)
[06:36:39 -451040.912961] AUTODETECT spr round 2 (radius: 10)
[06:38:32 -319976.258097] AUTODETECT spr round 3 (radius: 15)
[06:40:28 -258777.002512] AUTODETECT spr round 4 (radius: 20)
[06:42:28 -230550.151026] AUTODETECT spr round 5 (radius: 25)
[06:44:47 -214239.800160] SPR radius for FAST iterations: 25 (autodetect)
[06:44:47 -214239.800160] Model parameter optimization (eps = 3.000000)
[06:44:52 -214226.050177] FAST spr round 1 (radius: 25)
[06:46:59 -169051.144338] FAST spr round 2 (radius: 25)
[06:48:46 -165510.016512] FAST spr round 3 (radius: 25)
[06:50:20 -165392.758901] FAST spr round 4 (radius: 25)
[06:51:53 -165375.868623] FAST spr round 5 (radius: 25)
[06:53:19 -165373.388268] FAST spr round 6 (radius: 25)
[06:54:43 -165373.386362] Model parameter optimization (eps = 1.000000)
[06:54:56 -165128.254731] SLOW spr round 1 (radius: 5)
[06:56:41 -165096.887909] SLOW spr round 2 (radius: 5)
[06:58:25 -165093.551668] SLOW spr round 3 (radius: 5)
[07:00:08 -165092.945878] SLOW spr round 4 (radius: 5)
[07:01:48 -165092.945311] SLOW spr round 5 (radius: 10)
[07:03:35 -165092.254127] SLOW spr round 6 (radius: 5)
[07:05:42 -165092.198987] SLOW spr round 7 (radius: 10)
[07:07:39 -165092.197237] SLOW spr round 8 (radius: 15)
[07:10:09 -165092.196832] SLOW spr round 9 (radius: 20)
[07:13:37 -165092.196720] SLOW spr round 10 (radius: 25)
[07:18:11 -165092.196658] Model parameter optimization (eps = 0.100000)

[07:18:20] ML tree search #9, logLikelihood: -165091.777094

[07:18:20 -882315.632305] Initial branch length optimization
[07:18:24 -691396.466080] Model parameter optimization (eps = 10.000000)
[07:18:59 -690333.833666] AUTODETECT spr round 1 (radius: 5)
[07:20:47 -441999.617614] AUTODETECT spr round 2 (radius: 10)
[07:22:39 -320632.221090] AUTODETECT spr round 3 (radius: 15)
[07:24:37 -256517.390609] AUTODETECT spr round 4 (radius: 20)
[07:26:46 -217507.844969] AUTODETECT spr round 5 (radius: 25)
[07:29:04 -202931.936441] SPR radius for FAST iterations: 25 (autodetect)
[07:29:04 -202931.936441] Model parameter optimization (eps = 3.000000)
[07:29:21 -202646.989886] FAST spr round 1 (radius: 25)
[07:31:19 -167275.985290] FAST spr round 2 (radius: 25)
[07:32:57 -165294.677513] FAST spr round 3 (radius: 25)
[07:34:26 -165192.509695] FAST spr round 4 (radius: 25)
[07:35:48 -165190.128556] FAST spr round 5 (radius: 25)
[07:37:08 -165190.128479] Model parameter optimization (eps = 1.000000)
[07:37:21 -165173.656213] SLOW spr round 1 (radius: 5)
[07:39:03 -165124.127562] SLOW spr round 2 (radius: 5)
[07:40:44 -165115.835894] SLOW spr round 3 (radius: 5)
[07:42:25 -165115.657145] SLOW spr round 4 (radius: 5)
[07:44:04 -165115.656908] SLOW spr round 5 (radius: 10)
[07:45:48 -165115.656832] SLOW spr round 6 (radius: 15)
[07:48:16 -165115.656775] SLOW spr round 7 (radius: 20)
[07:51:46 -165115.656721] SLOW spr round 8 (radius: 25)
[07:56:28 -165115.656668] Model parameter optimization (eps = 0.100000)

[07:56:36] ML tree search #10, logLikelihood: -165115.318212

[07:56:36 -893621.782520] Initial branch length optimization
[07:56:40 -697397.667475] Model parameter optimization (eps = 10.000000)
[07:57:15 -696276.681390] AUTODETECT spr round 1 (radius: 5)
[07:59:04 -444505.560591] AUTODETECT spr round 2 (radius: 10)
[08:01:00 -320575.576013] AUTODETECT spr round 3 (radius: 15)
[08:03:04 -273202.410064] AUTODETECT spr round 4 (radius: 20)
[08:05:21 -216477.908178] AUTODETECT spr round 5 (radius: 25)
[08:07:43 -206127.002524] SPR radius for FAST iterations: 25 (autodetect)
[08:07:43 -206127.002524] Model parameter optimization (eps = 3.000000)
[08:07:50 -206090.422077] FAST spr round 1 (radius: 25)
[08:09:56 -168768.543474] FAST spr round 2 (radius: 25)
[08:11:45 -165569.806938] FAST spr round 3 (radius: 25)
[08:13:23 -165407.180968] FAST spr round 4 (radius: 25)
[08:14:50 -165402.407435] FAST spr round 5 (radius: 25)
[08:16:15 -165402.359294] Model parameter optimization (eps = 1.000000)
[08:16:19 -165402.011025] SLOW spr round 1 (radius: 5)
[08:18:08 -165353.033583] SLOW spr round 2 (radius: 5)
[08:19:52 -165349.504954] SLOW spr round 3 (radius: 5)
[08:21:35 -165347.657405] SLOW spr round 4 (radius: 5)
[08:23:16 -165347.654038] SLOW spr round 5 (radius: 10)
[08:25:00 -165347.653777] SLOW spr round 6 (radius: 15)
[08:27:30 -165347.653606] SLOW spr round 7 (radius: 20)
[08:30:46 -165347.002627] SLOW spr round 8 (radius: 5)
[08:33:02 -165347.002410] SLOW spr round 9 (radius: 10)
[08:35:07 -165347.002355] SLOW spr round 10 (radius: 15)
[08:37:40 -165347.002301] SLOW spr round 11 (radius: 20)
[08:41:11 -165347.002249] SLOW spr round 12 (radius: 25)
[08:45:43 -165346.183280] SLOW spr round 13 (radius: 5)
[08:48:05 -165346.181907] SLOW spr round 14 (radius: 10)
[08:50:16 -165346.181854] SLOW spr round 15 (radius: 15)
[08:52:49 -165346.181802] SLOW spr round 16 (radius: 20)
[08:56:22 -165346.181749] SLOW spr round 17 (radius: 25)
[09:00:57 -165346.181697] Model parameter optimization (eps = 0.100000)

[09:01:03] ML tree search #11, logLikelihood: -165346.006478

[09:01:03 -877371.541962] Initial branch length optimization
[09:01:06 -686046.591264] Model parameter optimization (eps = 10.000000)
[09:01:42 -685024.829854] AUTODETECT spr round 1 (radius: 5)
[09:03:34 -446751.641760] AUTODETECT spr round 2 (radius: 10)
[09:05:34 -320353.378119] AUTODETECT spr round 3 (radius: 15)
[09:07:39 -255844.398711] AUTODETECT spr round 4 (radius: 20)
[09:10:07 -215187.291952] AUTODETECT spr round 5 (radius: 25)
[09:12:44 -201831.285153] SPR radius for FAST iterations: 25 (autodetect)
[09:12:44 -201831.285153] Model parameter optimization (eps = 3.000000)
[09:13:04 -201544.657679] FAST spr round 1 (radius: 25)
[09:15:03 -168287.590972] FAST spr round 2 (radius: 25)
[09:16:45 -165342.597645] FAST spr round 3 (radius: 25)
[09:18:22 -165181.795843] FAST spr round 4 (radius: 25)
[09:19:54 -165171.708568] FAST spr round 5 (radius: 25)
[09:21:22 -165171.708341] Model parameter optimization (eps = 1.000000)
[09:21:35 -165165.728572] SLOW spr round 1 (radius: 5)
[09:23:26 -165120.465434] SLOW spr round 2 (radius: 5)
[09:25:15 -165118.307667] SLOW spr round 3 (radius: 5)
[09:27:04 -165117.695432] SLOW spr round 4 (radius: 5)
[09:28:55 -165117.266081] SLOW spr round 5 (radius: 5)
[09:30:37 -165117.265176] SLOW spr round 6 (radius: 10)
[09:32:22 -165117.265116] SLOW spr round 7 (radius: 15)
[09:34:50 -165113.822327] SLOW spr round 8 (radius: 5)
[09:36:58 -165108.091818] SLOW spr round 9 (radius: 5)
[09:38:50 -165108.091699] SLOW spr round 10 (radius: 10)
[09:40:42 -165108.028873] SLOW spr round 11 (radius: 15)
[09:43:07 -165108.026788] SLOW spr round 12 (radius: 20)
[09:46:23 -165108.026575] SLOW spr round 13 (radius: 25)
[09:50:42 -165108.026494] Model parameter optimization (eps = 0.100000)

[09:50:49] ML tree search #12, logLikelihood: -165107.865798

[09:50:49 -871145.604818] Initial branch length optimization
[09:50:52 -688817.386581] Model parameter optimization (eps = 10.000000)
[09:51:34 -687760.651027] AUTODETECT spr round 1 (radius: 5)
[09:53:19 -449308.553398] AUTODETECT spr round 2 (radius: 10)
[09:55:10 -337124.233086] AUTODETECT spr round 3 (radius: 15)
[09:57:18 -257811.773242] AUTODETECT spr round 4 (radius: 20)
[09:59:34 -210521.673458] AUTODETECT spr round 5 (radius: 25)
[10:02:01 -201585.383944] SPR radius for FAST iterations: 25 (autodetect)
[10:02:01 -201585.383944] Model parameter optimization (eps = 3.000000)
[10:02:07 -201570.969774] FAST spr round 1 (radius: 25)
[10:04:19 -167056.708849] FAST spr round 2 (radius: 25)
[10:06:05 -165504.609950] FAST spr round 3 (radius: 25)
[10:07:40 -165427.368839] FAST spr round 4 (radius: 25)
[10:09:10 -165405.675985] FAST spr round 5 (radius: 25)
[10:10:38 -165399.875722] FAST spr round 6 (radius: 25)
[10:12:03 -165397.677271] FAST spr round 7 (radius: 25)
[10:13:30 -165396.888040] FAST spr round 8 (radius: 25)
[10:14:54 -165396.888036] Model parameter optimization (eps = 1.000000)
[10:14:58 -165396.519461] SLOW spr round 1 (radius: 5)
[10:16:45 -165350.630579] SLOW spr round 2 (radius: 5)
[10:18:34 -165347.674256] SLOW spr round 3 (radius: 5)
[10:20:21 -165347.086810] SLOW spr round 4 (radius: 5)
[10:22:01 -165347.086793] SLOW spr round 5 (radius: 10)
[10:23:48 -165331.691613] SLOW spr round 6 (radius: 5)
[10:25:52 -165325.839989] SLOW spr round 7 (radius: 5)
[10:27:42 -165325.837815] SLOW spr round 8 (radius: 10)
[10:29:30 -165325.837399] SLOW spr round 9 (radius: 15)
[10:31:51 -165325.837319] SLOW spr round 10 (radius: 20)
[10:34:59 -165325.837303] SLOW spr round 11 (radius: 25)
[10:39:07 -165324.513993] SLOW spr round 12 (radius: 5)
[10:41:19 -165323.012182] SLOW spr round 13 (radius: 5)
[10:43:16 -165323.010680] SLOW spr round 14 (radius: 10)
[10:45:04 -165322.879750] SLOW spr round 15 (radius: 5)
[10:47:03 -165322.879705] SLOW spr round 16 (radius: 10)
[10:48:52 -165322.879703] SLOW spr round 17 (radius: 15)
[10:51:11 -165322.879703] SLOW spr round 18 (radius: 20)
[10:54:22 -165322.879703] SLOW spr round 19 (radius: 25)
[10:58:29 -165322.879703] Model parameter optimization (eps = 0.100000)

[10:58:33] ML tree search #13, logLikelihood: -165322.792230

[10:58:33 -890358.418589] Initial branch length optimization
[10:58:36 -696212.742383] Model parameter optimization (eps = 10.000000)
[10:59:07 -695108.584586] AUTODETECT spr round 1 (radius: 5)
[11:00:48 -446080.386325] AUTODETECT spr round 2 (radius: 10)
[11:02:36 -338328.883030] AUTODETECT spr round 3 (radius: 15)
[11:04:29 -274538.179186] AUTODETECT spr round 4 (radius: 20)
[11:06:36 -240980.956770] AUTODETECT spr round 5 (radius: 25)
[11:09:09 -204779.129709] SPR radius for FAST iterations: 25 (autodetect)
[11:09:09 -204779.129709] Model parameter optimization (eps = 3.000000)
[11:09:32 -204534.932486] FAST spr round 1 (radius: 25)
[11:11:27 -166738.415597] FAST spr round 2 (radius: 25)
[11:13:03 -165380.294283] FAST spr round 3 (radius: 25)
[11:14:34 -165215.789441] FAST spr round 4 (radius: 25)
[11:16:05 -165190.460282] FAST spr round 5 (radius: 25)
[11:17:32 -165185.259948] FAST spr round 6 (radius: 25)
[11:18:56 -165185.259235] Model parameter optimization (eps = 1.000000)
[11:19:11 -165155.670816] SLOW spr round 1 (radius: 5)
[11:20:55 -165116.134492] SLOW spr round 2 (radius: 5)
[11:22:37 -165113.483501] SLOW spr round 3 (radius: 5)
[11:24:17 -165113.482933] SLOW spr round 4 (radius: 10)
[11:26:00 -165113.482881] SLOW spr round 5 (radius: 15)
[11:28:26 -165113.482831] SLOW spr round 6 (radius: 20)
[11:31:58 -165113.482781] SLOW spr round 7 (radius: 25)
[11:36:50 -165113.482731] Model parameter optimization (eps = 0.100000)

[11:36:58] ML tree search #14, logLikelihood: -165113.179273

[11:36:58 -885646.388111] Initial branch length optimization
[11:37:02 -689010.705612] Model parameter optimization (eps = 10.000000)
[11:37:24 -687961.836309] AUTODETECT spr round 1 (radius: 5)
[11:39:14 -443548.046115] AUTODETECT spr round 2 (radius: 10)
[11:41:14 -318231.810008] AUTODETECT spr round 3 (radius: 15)
[11:43:20 -257506.100643] AUTODETECT spr round 4 (radius: 20)
[11:45:31 -225927.788124] AUTODETECT spr round 5 (radius: 25)
[11:47:51 -216167.263898] SPR radius for FAST iterations: 25 (autodetect)
[11:47:51 -216167.263898] Model parameter optimization (eps = 3.000000)
[11:47:58 -216154.732422] FAST spr round 1 (radius: 25)
[11:49:57 -168820.083102] FAST spr round 2 (radius: 25)
[11:51:42 -165629.299187] FAST spr round 3 (radius: 25)
[11:53:13 -165449.686702] FAST spr round 4 (radius: 25)
[11:54:41 -165390.505191] FAST spr round 5 (radius: 25)
[11:56:05 -165387.366781] FAST spr round 6 (radius: 25)
[11:57:27 -165387.366643] Model parameter optimization (eps = 1.000000)
[11:57:41 -165149.389959] SLOW spr round 1 (radius: 5)
[11:59:25 -165095.241473] SLOW spr round 2 (radius: 5)
[12:01:19 -165091.013867] SLOW spr round 3 (radius: 5)
[12:03:11 -165091.012453] SLOW spr round 4 (radius: 10)
[12:05:05 -165091.012177] SLOW spr round 5 (radius: 15)
[12:07:45 -165091.012087] SLOW spr round 6 (radius: 20)
[12:11:18 -165090.316670] SLOW spr round 7 (radius: 5)
[12:13:29 -165090.316561] SLOW spr round 8 (radius: 10)
[12:15:31 -165090.316540] SLOW spr round 9 (radius: 15)
[12:17:53 -165090.316529] SLOW spr round 10 (radius: 20)
[12:21:15 -165090.316520] SLOW spr round 11 (radius: 25)
[12:25:52 -165090.316514] Model parameter optimization (eps = 0.100000)

[12:26:03] ML tree search #15, logLikelihood: -165090.174227

[12:26:03 -881814.422958] Initial branch length optimization
[12:26:07 -686163.620558] Model parameter optimization (eps = 10.000000)
[12:26:40 -685083.090204] AUTODETECT spr round 1 (radius: 5)
[12:28:36 -442048.388223] AUTODETECT spr round 2 (radius: 10)
[12:30:37 -312409.748954] AUTODETECT spr round 3 (radius: 15)
[12:32:48 -239043.664343] AUTODETECT spr round 4 (radius: 20)
[12:35:13 -204379.348956] AUTODETECT spr round 5 (radius: 25)
[12:37:42 -199596.017010] SPR radius for FAST iterations: 25 (autodetect)
[12:37:42 -199596.017010] Model parameter optimization (eps = 3.000000)
[12:37:49 -199580.960699] FAST spr round 1 (radius: 25)
[12:40:02 -168663.138573] FAST spr round 2 (radius: 25)
[12:41:51 -167595.650193] FAST spr round 3 (radius: 25)
[12:43:35 -166290.489060] FAST spr round 4 (radius: 25)
[12:45:08 -165422.115427] FAST spr round 5 (radius: 25)
[12:46:43 -165410.355179] FAST spr round 6 (radius: 25)
[12:48:14 -165409.874764] FAST spr round 7 (radius: 25)
[12:49:43 -165409.874247] Model parameter optimization (eps = 1.000000)
[12:49:47 -165409.248127] SLOW spr round 1 (radius: 5)
[12:51:45 -165359.034058] SLOW spr round 2 (radius: 5)
[12:53:41 -165342.169039] SLOW spr round 3 (radius: 5)
[12:55:29 -165342.168167] SLOW spr round 4 (radius: 10)
[12:57:22 -165342.168106] SLOW spr round 5 (radius: 15)
[13:00:03 -165341.515272] SLOW spr round 6 (radius: 5)
[13:02:21 -165341.515145] SLOW spr round 7 (radius: 10)
[13:04:30 -165341.515093] SLOW spr round 8 (radius: 15)
[13:07:04 -165341.515040] SLOW spr round 9 (radius: 20)
[13:10:40 -165341.514988] SLOW spr round 10 (radius: 25)
[13:15:03 -165332.311443] SLOW spr round 11 (radius: 5)
[13:17:14 -165332.304710] SLOW spr round 12 (radius: 10)
[13:19:15 -165332.304646] SLOW spr round 13 (radius: 15)
[13:21:36 -165332.304618] SLOW spr round 14 (radius: 20)
[13:25:01 -165332.303416] SLOW spr round 15 (radius: 25)
[13:29:18 -165332.303416] Model parameter optimization (eps = 0.100000)

[13:29:22] ML tree search #16, logLikelihood: -165332.295861

[13:29:22 -878515.601090] Initial branch length optimization
[13:29:25 -687708.562803] Model parameter optimization (eps = 10.000000)
[13:30:06 -686382.030891] AUTODETECT spr round 1 (radius: 5)
[13:31:53 -439076.062600] AUTODETECT spr round 2 (radius: 10)
[13:33:47 -321691.710056] AUTODETECT spr round 3 (radius: 15)
[13:35:51 -250121.980285] AUTODETECT spr round 4 (radius: 20)
[13:38:05 -208421.579582] AUTODETECT spr round 5 (radius: 25)
[13:40:28 -198271.021946] SPR radius for FAST iterations: 25 (autodetect)
[13:40:28 -198271.021946] Model parameter optimization (eps = 3.000000)
[13:40:44 -197943.044070] FAST spr round 1 (radius: 25)
[13:42:36 -166538.226286] FAST spr round 2 (radius: 25)
[13:44:13 -165321.901389] FAST spr round 3 (radius: 25)
[13:45:44 -165227.890849] FAST spr round 4 (radius: 25)
[13:47:13 -165216.784350] FAST spr round 5 (radius: 25)
[13:48:39 -165214.917580] FAST spr round 6 (radius: 25)
[13:50:03 -165213.156707] FAST spr round 7 (radius: 25)
[13:51:27 -165213.155994] Model parameter optimization (eps = 1.000000)
[13:51:39 -165206.572834] SLOW spr round 1 (radius: 5)
[13:53:26 -165157.368835] SLOW spr round 2 (radius: 5)
[13:55:13 -165150.309870] SLOW spr round 3 (radius: 5)
[13:57:01 -165146.520691] SLOW spr round 4 (radius: 5)
[13:58:46 -165146.520364] SLOW spr round 5 (radius: 10)
[14:00:36 -165135.146563] SLOW spr round 6 (radius: 5)
[14:02:43 -165134.671830] SLOW spr round 7 (radius: 5)
[14:04:39 -165134.671655] SLOW spr round 8 (radius: 10)
[14:06:30 -165134.671603] SLOW spr round 9 (radius: 15)
[14:08:59 -165133.247383] SLOW spr round 10 (radius: 5)
[14:11:09 -165133.247128] SLOW spr round 11 (radius: 10)
[14:13:06 -165133.247043] SLOW spr round 12 (radius: 15)
[14:15:28 -165133.247004] SLOW spr round 13 (radius: 20)
[14:18:54 -165133.247004] SLOW spr round 14 (radius: 25)
[14:23:21 -165133.247004] Model parameter optimization (eps = 0.100000)

[14:23:30] ML tree search #17, logLikelihood: -165132.957609

[14:23:30 -886136.696982] Initial branch length optimization
[14:23:33 -689765.971186] Model parameter optimization (eps = 10.000000)
[14:24:06 -688646.097478] AUTODETECT spr round 1 (radius: 5)
[14:25:55 -446629.065958] AUTODETECT spr round 2 (radius: 10)
[14:27:54 -310177.789723] AUTODETECT spr round 3 (radius: 15)
[14:29:54 -257274.298970] AUTODETECT spr round 4 (radius: 20)
[14:32:26 -211000.511411] AUTODETECT spr round 5 (radius: 25)
[14:34:50 -202112.282564] SPR radius for FAST iterations: 25 (autodetect)
[14:34:50 -202112.282564] Model parameter optimization (eps = 3.000000)
[14:34:56 -202096.407803] FAST spr round 1 (radius: 25)
[14:36:57 -168074.246195] FAST spr round 2 (radius: 25)
[14:38:43 -165621.696041] FAST spr round 3 (radius: 25)
[14:40:25 -165391.072958] FAST spr round 4 (radius: 25)
[14:42:00 -165381.519650] FAST spr round 5 (radius: 25)
[14:43:30 -165381.519077] Model parameter optimization (eps = 1.000000)
[14:43:47 -165152.891639] SLOW spr round 1 (radius: 5)
[14:45:40 -165114.192660] SLOW spr round 2 (radius: 5)
[14:47:32 -165108.439311] SLOW spr round 3 (radius: 5)
[14:49:23 -165108.436478] SLOW spr round 4 (radius: 10)
[14:51:11 -165099.704730] SLOW spr round 5 (radius: 5)
[14:53:14 -165097.079678] SLOW spr round 6 (radius: 5)
[14:55:03 -165097.079000] SLOW spr round 7 (radius: 10)
[14:56:50 -165097.078945] SLOW spr round 8 (radius: 15)
[14:59:18 -165097.078892] SLOW spr round 9 (radius: 20)
[15:02:51 -165097.078839] SLOW spr round 10 (radius: 25)
[15:07:27 -165097.078787] Model parameter optimization (eps = 0.100000)

[15:07:37] ML tree search #18, logLikelihood: -165096.729223

[15:07:38 -885369.515718] Initial branch length optimization
[15:07:41 -690740.704481] Model parameter optimization (eps = 10.000000)
[15:08:25 -689647.393814] AUTODETECT spr round 1 (radius: 5)
[15:10:14 -439820.989006] AUTODETECT spr round 2 (radius: 10)
[15:12:10 -320566.720265] AUTODETECT spr round 3 (radius: 15)
[15:14:11 -266149.903937] AUTODETECT spr round 4 (radius: 20)
[15:16:28 -237686.424808] AUTODETECT spr round 5 (radius: 25)
[15:19:23 -217037.850383] SPR radius for FAST iterations: 25 (autodetect)
[15:19:23 -217037.850383] Model parameter optimization (eps = 3.000000)
[15:19:29 -217026.320532] FAST spr round 1 (radius: 25)
[15:21:38 -176279.580797] FAST spr round 2 (radius: 25)
[15:23:31 -167257.127626] FAST spr round 3 (radius: 25)
[15:25:15 -165493.991784] FAST spr round 4 (radius: 25)
[15:26:47 -165428.994986] FAST spr round 5 (radius: 25)
[15:28:14 -165425.663164] FAST spr round 6 (radius: 25)
[15:29:43 -165417.834407] FAST spr round 7 (radius: 25)
[15:31:06 -165416.956141] FAST spr round 8 (radius: 25)
[15:32:31 -165416.956076] Model parameter optimization (eps = 1.000000)
[15:32:37 -165415.601668] SLOW spr round 1 (radius: 5)
[15:34:28 -165372.501568] SLOW spr round 2 (radius: 5)
[15:36:11 -165371.432302] SLOW spr round 3 (radius: 5)
[15:37:52 -165371.429958] SLOW spr round 4 (radius: 10)
[15:39:41 -165356.349321] SLOW spr round 5 (radius: 5)
[15:41:42 -165356.348953] SLOW spr round 6 (radius: 10)
[15:43:35 -165356.348939] SLOW spr round 7 (radius: 15)
[15:46:01 -165356.348936] SLOW spr round 8 (radius: 20)
[15:49:30 -165356.348935] SLOW spr round 9 (radius: 25)
[15:53:55 -165356.348935] Model parameter optimization (eps = 0.100000)

[15:53:59] ML tree search #19, logLikelihood: -165356.320485

[15:53:59 -883301.267856] Initial branch length optimization
[15:54:02 -692456.658741] Model parameter optimization (eps = 10.000000)
[15:54:41 -691337.802197] AUTODETECT spr round 1 (radius: 5)
[15:56:30 -448492.612514] AUTODETECT spr round 2 (radius: 10)
[15:58:28 -331069.782358] AUTODETECT spr round 3 (radius: 15)
[16:00:30 -259037.513636] AUTODETECT spr round 4 (radius: 20)
[16:02:48 -252938.039944] AUTODETECT spr round 5 (radius: 25)
[16:05:40 -215849.235663] SPR radius for FAST iterations: 25 (autodetect)
[16:05:40 -215849.235663] Model parameter optimization (eps = 3.000000)
[16:05:57 -215588.206931] FAST spr round 1 (radius: 25)
[16:07:56 -167776.818871] FAST spr round 2 (radius: 25)
[16:09:36 -165261.628997] FAST spr round 3 (radius: 25)
[16:11:10 -165170.958563] FAST spr round 4 (radius: 25)
[16:12:41 -165158.922353] FAST spr round 5 (radius: 25)
[16:14:08 -165155.057708] FAST spr round 6 (radius: 25)
[16:15:34 -165152.555955] FAST spr round 7 (radius: 25)
[16:17:00 -165152.462643] Model parameter optimization (eps = 1.000000)
[16:17:15 -165135.072112] SLOW spr round 1 (radius: 5)
[16:19:01 -165102.472507] SLOW spr round 2 (radius: 5)
[16:20:47 -165091.364847] SLOW spr round 3 (radius: 5)
[16:22:35 -165089.429006] SLOW spr round 4 (radius: 5)
[16:24:19 -165089.428945] SLOW spr round 5 (radius: 10)
[16:26:08 -165089.366578] SLOW spr round 6 (radius: 15)
[16:28:43 -165089.365728] SLOW spr round 7 (radius: 20)
[16:32:15 -165089.365561] SLOW spr round 8 (radius: 25)
[16:37:09 -165089.365528] Model parameter optimization (eps = 0.100000)

[16:37:14] ML tree search #20, logLikelihood: -165089.332787


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.231360,0.406883) (0.172368,0.547443) (0.371833,0.865900) (0.224439,2.181134) 
   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: -165086.758820

AIC score: 334183.517639 / AICc score: 8378243.517639 / BIC score: 342882.398766
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=566).
         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/Q9NRC6/3_mltree/Q9NRC6.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/3_mltree/Q9NRC6.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/3_mltree/Q9NRC6.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRC6/3_mltree/Q9NRC6.raxml.log

Analysis started: 04-Jul-2021 08:55:08 / finished: 05-Jul-2021 01:32:23

Elapsed time: 59834.732 seconds

Consumed energy: 5067.929 Wh (= 25 km in an electric car, or 127 km with an e-scooter!)