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 6258R CPU @ 2.70GHz, 56 cores, 187 GB RAM

RAxML-NG was called at 26-Jul-2021 05:25:32 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/2_msa/A2RU30_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/2_msa/A2RU30_trimmed_msa.fasta
[00:00:00] Loaded alignment with 253 taxa and 63 sites

WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_G1NA78_G1NA78_MELGA_9103 are exactly identical!
WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_U3IYH2_U3IYH2_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_A0A093JTX2_A0A093JTX2_STRCA_441894 are exactly identical!
WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_A0A099ZAZ5_A0A099ZAZ5_TINGU_94827 are exactly identical!
WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_A0A226N4W0_A0A226N4W0_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A1D5P1E0_A0A1D5P1E0_CHICK_9031 and tr_A0A226P8N5_A0A226P8N5_COLVI_9014 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_M3XT72_M3XT72_MUSPF_9669 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_G3HDP3_G3HDP3_CRIGR_10029 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_G1SYN2_G1SYN2_RABIT_9986 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_F1PNH8_F1PNH8_CANLF_9615 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_F6PQ17_F6PQ17_HORSE_9796 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_W5Q5U0_W5Q5U0_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_D3ZLC3_D3ZLC3_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A287DBV3_A0A287DBV3_ICTTR_43179 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_H0XER6_H0XER6_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_H0W8R3_H0W8R3_CAVPO_10141 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_G5BIQ7_G5BIQ7_HETGA_10181 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_G3SXS5_G3SXS5_LOXAF_9785 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A287B737_A0A287B737_PIG_9823 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_G1L8U5_G1L8U5_AILME_9646 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_E1BET5_E1BET5_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_L5K2N2_L5K2N2_PTEAL_9402 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_M3WMS9_M3WMS9_FELCA_9685 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A091DBX6_A0A091DBX6_FUKDA_885580 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A1S3W9S6_A0A1S3W9S6_ERIEU_9365 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A1U7U8Q4_A0A1U7U8Q4_TARSY_1868482 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A1U7R5R0_A0A1U7R5R0_MESAU_10036 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2U4B1M7_A0A2U4B1M7_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2U3VCW0_A0A2U3VCW0_ODORO_9708 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2U3X696_A0A2U3X696_LEPWE_9713 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2Y9QYG0_A0A2Y9QYG0_TRIMA_127582 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2Y9J082_A0A2Y9J082_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2Y9MV69_A0A2Y9MV69_DELLE_9749 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A2Y9FHS1_A0A2Y9FHS1_PHYCD_9755 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A384BS87_A0A384BS87_URSMA_29073 are exactly identical!
WARNING: Sequences sp_Q922B9_ITPI2_MOUSE_10090 and tr_A0A384ATI9_A0A384ATI9_BALAS_310752 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2I2ZMN3_A0A2I2ZMN3_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_H2P814_H2P814_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2I3SHT1_A0A2I3SHT1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and sp_P28290_ITPI2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A1D5RA53_A0A1D5RA53_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_F6SB40_F6SB40_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_G7PKY8_G7PKY8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A096MTC4_A0A096MTC4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A0D9RK37_A0A0D9RK37_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2K5NMU1_A0A2K5NMU1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2K6E4M6_A0A2K6E4M6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2K6AJ77_A0A2K6AJ77_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1R3D5_G1R3D5_NOMLE_61853 and tr_A0A2R9A0X0_A0A2R9A0X0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_G3QJ09_G3QJ09_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_H2NHK8_H2NHK8_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_F1Q192_F1Q192_CANLF_9615 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_H2Q652_H2Q652_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_W5PQ86_W5PQ86_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and sp_A2RU30_TESP1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_F1MNV6_F1MNV6_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_A0A2R9BL09_A0A2R9BL09_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_A0A2U4CB14_A0A2U4CB14_TURTR_9739 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_A0A2Y9NEI5_A0A2Y9NEI5_DELLE_9749 are exactly identical!
WARNING: Sequences tr_G1S794_G1S794_NOMLE_61853 and tr_A0A2Y9FN24_A0A2Y9FN24_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2I3THF4_A0A2I3THF4_PANTR_9598 and tr_A0A2R9A4Z7_A0A2R9A4Z7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F7FJV8_F7FJV8_ORNAN_9258 and tr_G3WU17_G3WU17_SARHA_9305 are exactly identical!
WARNING: Sequences tr_B0WC99_B0WC99_CULQU_7176 and tr_Q16MB2_Q16MB2_AEDAE_7159 are exactly identical!
WARNING: Sequences tr_A0A088ANV5_A0A088ANV5_APIME_7460 and tr_A0A0M9A1V0_A0A0M9A1V0_9HYME_166423 are exactly identical!
WARNING: Sequences tr_A0A088ANV5_A0A088ANV5_APIME_7460 and tr_A0A2A3EQQ7_A0A2A3EQQ7_APICC_94128 are exactly identical!
WARNING: Sequences tr_H0X125_H0X125_OTOGA_30611 and tr_A0A287BQB0_A0A287BQB0_PIG_9823 are exactly identical!
WARNING: Sequences tr_H0X125_H0X125_OTOGA_30611 and tr_A0A1S2ZF08_A0A1S2ZF08_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_H0UZM7_H0UZM7_CAVPO_10141 and tr_G5BE54_G5BE54_HETGA_10181 are exactly identical!
WARNING: Sequences tr_H0UZM7_H0UZM7_CAVPO_10141 and tr_A0A091CSL7_A0A091CSL7_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_A0A1D5R9F3_A0A1D5R9F3_MACMU_9544 and tr_G7PHX7_G7PHX7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5R9F3_A0A1D5R9F3_MACMU_9544 and tr_A0A096N1G5_A0A096N1G5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5R9F3_A0A1D5R9F3_MACMU_9544 and tr_A0A2K5KR23_A0A2K5KR23_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5R9F3_A0A1D5R9F3_MACMU_9544 and tr_A0A2K6DMT9_A0A2K6DMT9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5R9F3_A0A1D5R9F3_MACMU_9544 and tr_A0A2K5ZQ90_A0A2K5ZQ90_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7A4R0_F7A4R0_MACMU_9544 and tr_G7P0G4_G7P0G4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7A4R0_F7A4R0_MACMU_9544 and tr_A0A096P058_A0A096P058_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7A4R0_F7A4R0_MACMU_9544 and tr_A0A0D9RQL2_A0A0D9RQL2_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7A4R0_F7A4R0_MACMU_9544 and tr_A0A2K5NSJ9_A0A2K5NSJ9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7A4R0_F7A4R0_MACMU_9544 and tr_A0A2K6DW99_A0A2K6DW99_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H0ZGR8_H0ZGR8_TAEGU_59729 and tr_U3JLR9_U3JLR9_FICAL_59894 are exactly identical!
WARNING: Sequences tr_H0ZGR8_H0ZGR8_TAEGU_59729 and tr_A0A091ESC8_A0A091ESC8_CORBR_85066 are exactly identical!
WARNING: Sequences tr_H0ZGR8_H0ZGR8_TAEGU_59729 and tr_A0A218UNK5_A0A218UNK5_9PASE_299123 are exactly identical!
WARNING: Sequences tr_F7CCM4_F7CCM4_XENTR_8364 and tr_A0A1L8EWG1_A0A1L8EWG1_XENLA_8355 are exactly identical!
WARNING: Sequences tr_G1LK69_G1LK69_AILME_9646 and tr_A0A384BQD3_A0A384BQD3_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A151LZR9_A0A151LZR9_ALLMI_8496 and tr_A0A1U7RFX5_A0A1U7RFX5_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151P2G9_A0A151P2G9_ALLMI_8496 and tr_A0A3Q0GD65_A0A3Q0GD65_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A091UWQ4_A0A091UWQ4_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A087QGY6_A0A087QGY6_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A091VR13_A0A091VR13_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A091FTK1_A0A091FTK1_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A0A0AJZ1_A0A0A0AJZ1_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A2I0MIW0_A0A2I0MIW0_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A093G7X2_A0A093G7X2_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A091HPZ1_A0A091HPZ1_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A0Q3U214_A0A0Q3U214_AMAAE_12930 and tr_A0A1V4K6X6_A0A1V4K6X6_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3NBT8_A0A1S3NBT8_SALSA_8030 and tr_A0A060WUC3_A0A060WUC3_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A2D0R3V5_A0A2D0R3V5_ICTPU_7998 and tr_A0A2D0R5D6_A0A2D0R5D6_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RYW8_A0A2D0RYW8_ICTPU_7998 and tr_A0A2D0RYW9_A0A2D0RYW9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SVY7_A0A2D0SVY7_ICTPU_7998 and tr_A0A2D0SWI8_A0A2D0SWI8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SVY7_A0A2D0SVY7_ICTPU_7998 and tr_A0A2D0SWI9_A0A2D0SWI9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U3ZLL5_A0A2U3ZLL5_ODORO_9708 and tr_A0A2U3XBI1_A0A2U3XBI1_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/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.reduced.phy

Alignment comprises 1 partitions and 63 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 63 / 63
Gaps: 0.24 %
Invariant sites: 1.59 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 253 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 63 / 5040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -21491.218541] Initial branch length optimization
[00:00:00 -16122.781841] Model parameter optimization (eps = 10.000000)
[00:00:10 -16059.297154] AUTODETECT spr round 1 (radius: 5)
[00:00:20 -10548.878537] AUTODETECT spr round 2 (radius: 10)
[00:00:35 -7278.578777] AUTODETECT spr round 3 (radius: 15)
[00:00:52 -5819.229078] AUTODETECT spr round 4 (radius: 20)
[00:01:12 -5582.939923] AUTODETECT spr round 5 (radius: 25)
[00:01:34 -5517.754325] SPR radius for FAST iterations: 25 (autodetect)
[00:01:34 -5517.754325] Model parameter optimization (eps = 3.000000)
[00:01:45 -5492.868778] FAST spr round 1 (radius: 25)
[00:01:58 -4918.013847] FAST spr round 2 (radius: 25)
[00:02:11 -4875.892722] FAST spr round 3 (radius: 25)
[00:02:21 -4873.943391] FAST spr round 4 (radius: 25)
[00:02:31 -4873.943269] Model parameter optimization (eps = 1.000000)
[00:02:41 -4864.500357] SLOW spr round 1 (radius: 5)
[00:02:55 -4861.513556] SLOW spr round 2 (radius: 5)
[00:03:09 -4861.512906] SLOW spr round 3 (radius: 10)
[00:03:23 -4861.512812] SLOW spr round 4 (radius: 15)
[00:03:46 -4857.460670] SLOW spr round 5 (radius: 5)
[00:04:06 -4857.460627] SLOW spr round 6 (radius: 10)
[00:04:24 -4857.198664] SLOW spr round 7 (radius: 5)
[00:04:43 -4857.040277] SLOW spr round 8 (radius: 5)
[00:05:00 -4857.040260] SLOW spr round 9 (radius: 10)
[00:05:15 -4857.040233] SLOW spr round 10 (radius: 15)
[00:05:36 -4856.618257] SLOW spr round 11 (radius: 5)
[00:05:56 -4856.614405] SLOW spr round 12 (radius: 10)
[00:06:15 -4856.614063] SLOW spr round 13 (radius: 15)
[00:06:35 -4856.614024] SLOW spr round 14 (radius: 20)
[00:06:57 -4856.614021] SLOW spr round 15 (radius: 25)
[00:07:19 -4856.614020] Model parameter optimization (eps = 0.100000)

[00:07:23] ML tree search #1, logLikelihood: -4856.461263

[00:07:23 -21531.631916] Initial branch length optimization
[00:07:23 -16300.992576] Model parameter optimization (eps = 10.000000)
[00:07:32 -16248.847558] AUTODETECT spr round 1 (radius: 5)
[00:07:43 -10222.665797] AUTODETECT spr round 2 (radius: 10)
[00:07:58 -7282.420601] AUTODETECT spr round 3 (radius: 15)
[00:08:15 -5649.030427] AUTODETECT spr round 4 (radius: 20)
[00:08:31 -5546.894105] AUTODETECT spr round 5 (radius: 25)
[00:08:47 -5543.433185] SPR radius for FAST iterations: 25 (autodetect)
[00:08:47 -5543.433185] Model parameter optimization (eps = 3.000000)
[00:08:55 -5533.456105] FAST spr round 1 (radius: 25)
[00:09:10 -4961.787933] FAST spr round 2 (radius: 25)
[00:09:22 -4904.202646] FAST spr round 3 (radius: 25)
[00:09:33 -4902.955462] FAST spr round 4 (radius: 25)
[00:09:44 -4902.954908] Model parameter optimization (eps = 1.000000)
[00:09:55 -4886.675062] SLOW spr round 1 (radius: 5)
[00:10:10 -4869.886155] SLOW spr round 2 (radius: 5)
[00:10:25 -4862.857488] SLOW spr round 3 (radius: 5)
[00:10:39 -4862.618677] SLOW spr round 4 (radius: 5)
[00:10:53 -4862.618605] SLOW spr round 5 (radius: 10)
[00:11:08 -4862.537031] SLOW spr round 6 (radius: 15)
[00:11:32 -4862.321207] SLOW spr round 7 (radius: 5)
[00:11:53 -4862.321163] SLOW spr round 8 (radius: 10)
[00:12:11 -4862.321153] SLOW spr round 9 (radius: 15)
[00:12:31 -4862.321153] SLOW spr round 10 (radius: 20)
[00:12:53 -4862.321153] SLOW spr round 11 (radius: 25)
[00:13:15 -4862.321153] Model parameter optimization (eps = 0.100000)

[00:13:20] ML tree search #2, logLikelihood: -4859.562181

[00:13:20 -21107.358789] Initial branch length optimization
[00:13:21 -15971.484420] Model parameter optimization (eps = 10.000000)
[00:13:29 -15928.347419] AUTODETECT spr round 1 (radius: 5)
[00:13:40 -9658.955201] AUTODETECT spr round 2 (radius: 10)
[00:13:54 -7144.514006] AUTODETECT spr round 3 (radius: 15)
[00:14:12 -5875.208374] AUTODETECT spr round 4 (radius: 20)
[00:14:30 -5690.603826] AUTODETECT spr round 5 (radius: 25)
[00:14:48 -5689.420385] SPR radius for FAST iterations: 25 (autodetect)
[00:14:48 -5689.420385] Model parameter optimization (eps = 3.000000)
[00:14:56 -5660.677201] FAST spr round 1 (radius: 25)
[00:15:10 -4986.656401] FAST spr round 2 (radius: 25)
[00:15:24 -4871.209614] FAST spr round 3 (radius: 25)
[00:15:34 -4868.427139] FAST spr round 4 (radius: 25)
[00:15:44 -4866.600165] FAST spr round 5 (radius: 25)
[00:15:54 -4866.600062] Model parameter optimization (eps = 1.000000)
[00:16:00 -4863.003573] SLOW spr round 1 (radius: 5)
[00:16:14 -4862.277530] SLOW spr round 2 (radius: 5)
[00:16:27 -4862.277384] SLOW spr round 3 (radius: 10)
[00:16:42 -4862.013613] SLOW spr round 4 (radius: 5)
[00:17:01 -4861.857175] SLOW spr round 5 (radius: 5)
[00:17:18 -4861.857175] SLOW spr round 6 (radius: 10)
[00:17:33 -4861.857175] SLOW spr round 7 (radius: 15)
[00:17:59 -4855.723972] SLOW spr round 8 (radius: 5)
[00:18:20 -4855.093910] SLOW spr round 9 (radius: 5)
[00:18:38 -4855.093805] SLOW spr round 10 (radius: 10)
[00:18:53 -4855.093804] SLOW spr round 11 (radius: 15)
[00:19:18 -4855.093804] SLOW spr round 12 (radius: 20)
[00:19:43 -4855.093804] SLOW spr round 13 (radius: 25)
[00:20:08 -4855.093804] Model parameter optimization (eps = 0.100000)

[00:20:11] ML tree search #3, logLikelihood: -4855.016166

[00:20:11 -21218.200113] Initial branch length optimization
[00:20:12 -16460.139318] Model parameter optimization (eps = 10.000000)
[00:20:27 -16406.730893] AUTODETECT spr round 1 (radius: 5)
[00:20:38 -10375.408234] AUTODETECT spr round 2 (radius: 10)
[00:20:52 -7662.685281] AUTODETECT spr round 3 (radius: 15)
[00:21:09 -6381.760201] AUTODETECT spr round 4 (radius: 20)
[00:21:27 -5948.848432] AUTODETECT spr round 5 (radius: 25)
[00:21:42 -5675.377833] SPR radius for FAST iterations: 25 (autodetect)
[00:21:42 -5675.377833] Model parameter optimization (eps = 3.000000)
[00:21:49 -5667.152718] FAST spr round 1 (radius: 25)
[00:22:02 -5023.075919] FAST spr round 2 (radius: 25)
[00:22:16 -4922.571396] FAST spr round 3 (radius: 25)
[00:22:28 -4910.628853] FAST spr round 4 (radius: 25)
[00:22:38 -4908.153281] FAST spr round 5 (radius: 25)
[00:22:48 -4907.280307] FAST spr round 6 (radius: 25)
[00:22:59 -4907.278406] Model parameter optimization (eps = 1.000000)
[00:23:06 -4897.459334] SLOW spr round 1 (radius: 5)
[00:23:21 -4891.292067] SLOW spr round 2 (radius: 5)
[00:23:35 -4877.730014] SLOW spr round 3 (radius: 5)
[00:23:49 -4875.865672] SLOW spr round 4 (radius: 5)
[00:24:03 -4875.811600] SLOW spr round 5 (radius: 10)
[00:24:18 -4856.840746] SLOW spr round 6 (radius: 5)
[00:24:37 -4856.305006] SLOW spr round 7 (radius: 5)
[00:24:53 -4856.304528] SLOW spr round 8 (radius: 10)
[00:25:08 -4856.304456] SLOW spr round 9 (radius: 15)
[00:25:31 -4856.241337] SLOW spr round 10 (radius: 20)
[00:25:54 -4856.241334] SLOW spr round 11 (radius: 25)
[00:26:14 -4856.241334] Model parameter optimization (eps = 0.100000)

[00:26:16] ML tree search #4, logLikelihood: -4856.155175

[00:26:16 -21747.687489] Initial branch length optimization
[00:26:16 -16392.276358] Model parameter optimization (eps = 10.000000)
[00:26:27 -16347.117374] AUTODETECT spr round 1 (radius: 5)
[00:26:38 -9965.666236] AUTODETECT spr round 2 (radius: 10)
[00:26:52 -7631.219338] AUTODETECT spr round 3 (radius: 15)
[00:27:08 -6849.303310] AUTODETECT spr round 4 (radius: 20)
[00:27:24 -6626.851289] AUTODETECT spr round 5 (radius: 25)
[00:27:41 -6458.874607] SPR radius for FAST iterations: 25 (autodetect)
[00:27:41 -6458.874607] Model parameter optimization (eps = 3.000000)
[00:27:48 -6415.989467] FAST spr round 1 (radius: 25)
[00:28:03 -5170.290105] FAST spr round 2 (radius: 25)
[00:28:17 -4951.141664] FAST spr round 3 (radius: 25)
[00:28:29 -4939.194163] FAST spr round 4 (radius: 25)
[00:28:39 -4936.762492] FAST spr round 5 (radius: 25)
[00:28:49 -4936.762383] Model parameter optimization (eps = 1.000000)
[00:28:59 -4925.764804] SLOW spr round 1 (radius: 5)
[00:29:13 -4917.487034] SLOW spr round 2 (radius: 5)
[00:29:28 -4877.182125] SLOW spr round 3 (radius: 5)
[00:29:42 -4872.054008] SLOW spr round 4 (radius: 5)
[00:29:56 -4872.053832] SLOW spr round 5 (radius: 10)
[00:30:11 -4869.265410] SLOW spr round 6 (radius: 5)
[00:30:31 -4869.264653] SLOW spr round 7 (radius: 10)
[00:30:50 -4867.756264] SLOW spr round 8 (radius: 5)
[00:31:10 -4867.149246] SLOW spr round 9 (radius: 5)
[00:31:27 -4867.148757] SLOW spr round 10 (radius: 10)
[00:31:42 -4867.148696] SLOW spr round 11 (radius: 15)
[00:32:04 -4860.156347] SLOW spr round 12 (radius: 5)
[00:32:25 -4859.964957] SLOW spr round 13 (radius: 5)
[00:32:42 -4859.964764] SLOW spr round 14 (radius: 10)
[00:32:56 -4859.964750] SLOW spr round 15 (radius: 15)
[00:33:20 -4859.964750] SLOW spr round 16 (radius: 20)
[00:33:45 -4859.964750] SLOW spr round 17 (radius: 25)
[00:34:12 -4859.964750] Model parameter optimization (eps = 0.100000)

[00:34:17] ML tree search #5, logLikelihood: -4857.308409

[00:34:17 -21741.899919] Initial branch length optimization
[00:34:17 -16762.541764] Model parameter optimization (eps = 10.000000)
[00:34:26 -16680.144012] AUTODETECT spr round 1 (radius: 5)
[00:34:37 -9662.913866] AUTODETECT spr round 2 (radius: 10)
[00:34:52 -7260.984367] AUTODETECT spr round 3 (radius: 15)
[00:35:07 -6164.245116] AUTODETECT spr round 4 (radius: 20)
[00:35:24 -5760.470864] AUTODETECT spr round 5 (radius: 25)
[00:35:42 -5756.810552] SPR radius for FAST iterations: 25 (autodetect)
[00:35:42 -5756.810552] Model parameter optimization (eps = 3.000000)
[00:35:49 -5745.636100] FAST spr round 1 (radius: 25)
[00:36:01 -5024.416170] FAST spr round 2 (radius: 25)
[00:36:13 -4939.191272] FAST spr round 3 (radius: 25)
[00:36:24 -4885.956658] FAST spr round 4 (radius: 25)
[00:36:34 -4882.764289] FAST spr round 5 (radius: 25)
[00:36:44 -4881.075418] FAST spr round 6 (radius: 25)
[00:36:54 -4878.055961] FAST spr round 7 (radius: 25)
[00:37:04 -4878.055948] Model parameter optimization (eps = 1.000000)
[00:37:12 -4865.198890] SLOW spr round 1 (radius: 5)
[00:37:26 -4863.353735] SLOW spr round 2 (radius: 5)
[00:37:39 -4863.352612] SLOW spr round 3 (radius: 10)
[00:37:54 -4862.003233] SLOW spr round 4 (radius: 5)
[00:38:13 -4861.845896] SLOW spr round 5 (radius: 5)
[00:38:30 -4861.845896] SLOW spr round 6 (radius: 10)
[00:38:45 -4859.832672] SLOW spr round 7 (radius: 5)
[00:39:04 -4859.831278] SLOW spr round 8 (radius: 10)
[00:39:22 -4859.831248] SLOW spr round 9 (radius: 15)
[00:39:43 -4854.896347] SLOW spr round 10 (radius: 5)
[00:40:05 -4854.896039] SLOW spr round 11 (radius: 10)
[00:40:24 -4854.896039] SLOW spr round 12 (radius: 15)
[00:40:44 -4854.896039] SLOW spr round 13 (radius: 20)
[00:41:08 -4854.896039] SLOW spr round 14 (radius: 25)
[00:41:30 -4854.896039] Model parameter optimization (eps = 0.100000)

[00:41:35] ML tree search #6, logLikelihood: -4854.776594

[00:41:36 -21786.683944] Initial branch length optimization
[00:41:36 -16386.745697] Model parameter optimization (eps = 10.000000)
[00:41:46 -16326.751143] AUTODETECT spr round 1 (radius: 5)
[00:41:57 -10269.493754] AUTODETECT spr round 2 (radius: 10)
[00:42:11 -7706.815813] AUTODETECT spr round 3 (radius: 15)
[00:42:28 -6331.981113] AUTODETECT spr round 4 (radius: 20)
[00:42:44 -6271.396098] AUTODETECT spr round 5 (radius: 25)
[00:43:01 -5784.321920] SPR radius for FAST iterations: 25 (autodetect)
[00:43:01 -5784.321920] Model parameter optimization (eps = 3.000000)
[00:43:10 -5750.952890] FAST spr round 1 (radius: 25)
[00:43:24 -5041.275350] FAST spr round 2 (radius: 25)
[00:43:35 -4890.974414] FAST spr round 3 (radius: 25)
[00:43:46 -4882.984019] FAST spr round 4 (radius: 25)
[00:43:56 -4882.983998] Model parameter optimization (eps = 1.000000)
[00:44:03 -4873.382352] SLOW spr round 1 (radius: 5)
[00:44:17 -4870.793454] SLOW spr round 2 (radius: 5)
[00:44:32 -4870.566569] SLOW spr round 3 (radius: 5)
[00:44:46 -4870.041701] SLOW spr round 4 (radius: 5)
[00:45:00 -4869.723153] SLOW spr round 5 (radius: 5)
[00:45:13 -4869.722149] SLOW spr round 6 (radius: 10)
[00:45:27 -4869.722053] SLOW spr round 7 (radius: 15)
[00:45:51 -4861.116208] SLOW spr round 8 (radius: 5)
[00:46:13 -4860.277976] SLOW spr round 9 (radius: 5)
[00:46:30 -4859.163822] SLOW spr round 10 (radius: 5)
[00:46:45 -4859.163653] SLOW spr round 11 (radius: 10)
[00:46:59 -4859.163632] SLOW spr round 12 (radius: 15)
[00:47:22 -4857.875381] SLOW spr round 13 (radius: 5)
[00:47:42 -4857.874067] SLOW spr round 14 (radius: 10)
[00:48:01 -4857.873977] SLOW spr round 15 (radius: 15)
[00:48:21 -4857.873971] SLOW spr round 16 (radius: 20)
[00:48:45 -4857.873970] SLOW spr round 17 (radius: 25)
[00:49:10 -4857.873970] Model parameter optimization (eps = 0.100000)

[00:49:15] ML tree search #7, logLikelihood: -4857.279079

[00:49:15 -21673.146896] Initial branch length optimization
[00:49:15 -16345.397974] Model parameter optimization (eps = 10.000000)
[00:49:23 -16280.213668] AUTODETECT spr round 1 (radius: 5)
[00:49:34 -9794.778504] AUTODETECT spr round 2 (radius: 10)
[00:49:48 -6770.658658] AUTODETECT spr round 3 (radius: 15)
[00:50:04 -6029.733716] AUTODETECT spr round 4 (radius: 20)
[00:50:21 -5705.455374] AUTODETECT spr round 5 (radius: 25)
[00:50:40 -5672.498468] SPR radius for FAST iterations: 25 (autodetect)
[00:50:40 -5672.498468] Model parameter optimization (eps = 3.000000)
[00:50:48 -5662.551515] FAST spr round 1 (radius: 25)
[00:51:02 -4986.764714] FAST spr round 2 (radius: 25)
[00:51:14 -4949.415883] FAST spr round 3 (radius: 25)
[00:51:26 -4893.648722] FAST spr round 4 (radius: 25)
[00:51:37 -4892.013975] FAST spr round 5 (radius: 25)
[00:51:48 -4892.013909] Model parameter optimization (eps = 1.000000)
[00:51:55 -4884.052718] SLOW spr round 1 (radius: 5)
[00:52:09 -4882.277935] SLOW spr round 2 (radius: 5)
[00:52:23 -4881.331783] SLOW spr round 3 (radius: 5)
[00:52:37 -4881.331691] SLOW spr round 4 (radius: 10)
[00:52:52 -4870.264956] SLOW spr round 5 (radius: 5)
[00:53:12 -4869.168140] SLOW spr round 6 (radius: 5)
[00:53:29 -4869.167372] SLOW spr round 7 (radius: 10)
[00:53:44 -4867.542438] SLOW spr round 8 (radius: 5)
[00:54:04 -4866.433160] SLOW spr round 9 (radius: 5)
[00:54:20 -4866.433159] SLOW spr round 10 (radius: 10)
[00:54:34 -4866.433154] SLOW spr round 11 (radius: 15)
[00:54:56 -4866.433154] SLOW spr round 12 (radius: 20)
[00:55:16 -4865.367369] SLOW spr round 13 (radius: 5)
[00:55:37 -4865.367362] SLOW spr round 14 (radius: 10)
[00:55:56 -4865.367361] SLOW spr round 15 (radius: 15)
[00:56:16 -4865.367361] SLOW spr round 16 (radius: 20)
[00:56:36 -4865.367361] SLOW spr round 17 (radius: 25)
[00:56:57 -4865.367361] Model parameter optimization (eps = 0.100000)

[00:57:02] ML tree search #8, logLikelihood: -4865.103364

[00:57:02 -21732.283570] Initial branch length optimization
[00:57:02 -16559.999511] Model parameter optimization (eps = 10.000000)
[00:57:12 -16501.887162] AUTODETECT spr round 1 (radius: 5)
[00:57:22 -10306.997255] AUTODETECT spr round 2 (radius: 10)
[00:57:36 -6903.857377] AUTODETECT spr round 3 (radius: 15)
[00:57:51 -6698.413628] AUTODETECT spr round 4 (radius: 20)
[00:58:09 -5858.628194] AUTODETECT spr round 5 (radius: 25)
[00:58:27 -5850.686457] SPR radius for FAST iterations: 25 (autodetect)
[00:58:27 -5850.686457] Model parameter optimization (eps = 3.000000)
[00:58:37 -5832.313337] FAST spr round 1 (radius: 25)
[00:58:50 -5001.327784] FAST spr round 2 (radius: 25)
[00:59:02 -4892.825461] FAST spr round 3 (radius: 25)
[00:59:13 -4883.446456] FAST spr round 4 (radius: 25)
[00:59:24 -4883.446352] Model parameter optimization (eps = 1.000000)
[00:59:33 -4872.750569] SLOW spr round 1 (radius: 5)
[00:59:47 -4869.973093] SLOW spr round 2 (radius: 5)
[01:00:01 -4869.972214] SLOW spr round 3 (radius: 10)
[01:00:16 -4863.844592] SLOW spr round 4 (radius: 5)
[01:00:37 -4863.687283] SLOW spr round 5 (radius: 5)
[01:00:54 -4863.687262] SLOW spr round 6 (radius: 10)
[01:01:09 -4863.671701] SLOW spr round 7 (radius: 15)
[01:01:33 -4854.276229] SLOW spr round 8 (radius: 5)
[01:01:55 -4853.934638] SLOW spr round 9 (radius: 5)
[01:02:13 -4853.934599] SLOW spr round 10 (radius: 10)
[01:02:27 -4853.934598] SLOW spr round 11 (radius: 15)
[01:02:50 -4853.868304] SLOW spr round 12 (radius: 20)
[01:03:14 -4853.496919] SLOW spr round 13 (radius: 5)
[01:03:35 -4853.496714] SLOW spr round 14 (radius: 10)
[01:03:55 -4853.496714] SLOW spr round 15 (radius: 15)
[01:04:16 -4853.496714] SLOW spr round 16 (radius: 20)
[01:04:39 -4853.496714] SLOW spr round 17 (radius: 25)
[01:05:02 -4853.496714] Model parameter optimization (eps = 0.100000)

[01:05:04] ML tree search #9, logLikelihood: -4853.474547

[01:05:04 -21483.318119] Initial branch length optimization
[01:05:05 -16309.275149] Model parameter optimization (eps = 10.000000)
[01:05:14 -16245.219345] AUTODETECT spr round 1 (radius: 5)
[01:05:25 -9835.027874] AUTODETECT spr round 2 (radius: 10)
[01:05:39 -7055.435461] AUTODETECT spr round 3 (radius: 15)
[01:05:57 -5882.036619] AUTODETECT spr round 4 (radius: 20)
[01:06:16 -5631.767725] AUTODETECT spr round 5 (radius: 25)
[01:06:35 -5628.965721] SPR radius for FAST iterations: 25 (autodetect)
[01:06:35 -5628.965721] Model parameter optimization (eps = 3.000000)
[01:06:42 -5615.283632] FAST spr round 1 (radius: 25)
[01:06:55 -4968.460319] FAST spr round 2 (radius: 25)
[01:07:07 -4889.370650] FAST spr round 3 (radius: 25)
[01:07:17 -4883.556148] FAST spr round 4 (radius: 25)
[01:07:26 -4883.555432] Model parameter optimization (eps = 1.000000)
[01:07:34 -4876.342356] SLOW spr round 1 (radius: 5)
[01:07:47 -4872.743929] SLOW spr round 2 (radius: 5)
[01:08:01 -4871.414267] SLOW spr round 3 (radius: 5)
[01:08:15 -4868.688625] SLOW spr round 4 (radius: 5)
[01:08:29 -4868.686490] SLOW spr round 5 (radius: 10)
[01:08:44 -4860.697199] SLOW spr round 6 (radius: 5)
[01:09:04 -4857.241731] SLOW spr round 7 (radius: 5)
[01:09:21 -4857.236832] SLOW spr round 8 (radius: 10)
[01:09:36 -4857.236338] SLOW spr round 9 (radius: 15)
[01:09:58 -4856.187623] SLOW spr round 10 (radius: 5)
[01:10:19 -4856.187500] SLOW spr round 11 (radius: 10)
[01:10:39 -4856.153506] SLOW spr round 12 (radius: 15)
[01:11:00 -4856.153506] SLOW spr round 13 (radius: 20)
[01:11:23 -4856.153506] SLOW spr round 14 (radius: 25)
[01:11:45 -4856.153506] Model parameter optimization (eps = 0.100000)

[01:11:52] ML tree search #10, logLikelihood: -4852.155748

[01:11:52 -21525.304995] Initial branch length optimization
[01:11:52 -16347.241924] Model parameter optimization (eps = 10.000000)
[01:12:04 -16271.277672] AUTODETECT spr round 1 (radius: 5)
[01:12:15 -10081.748946] AUTODETECT spr round 2 (radius: 10)
[01:12:29 -7804.602808] AUTODETECT spr round 3 (radius: 15)
[01:12:45 -6608.651346] AUTODETECT spr round 4 (radius: 20)
[01:13:01 -5905.052531] AUTODETECT spr round 5 (radius: 25)
[01:13:17 -5657.620546] SPR radius for FAST iterations: 25 (autodetect)
[01:13:17 -5657.620546] Model parameter optimization (eps = 3.000000)
[01:13:24 -5646.360955] FAST spr round 1 (radius: 25)
[01:13:38 -4919.268353] FAST spr round 2 (radius: 25)
[01:13:49 -4881.303762] FAST spr round 3 (radius: 25)
[01:14:01 -4878.425153] FAST spr round 4 (radius: 25)
[01:14:12 -4878.424326] Model parameter optimization (eps = 1.000000)
[01:14:21 -4868.084693] SLOW spr round 1 (radius: 5)
[01:14:35 -4867.199425] SLOW spr round 2 (radius: 5)
[01:14:50 -4865.843764] SLOW spr round 3 (radius: 5)
[01:15:04 -4864.656510] SLOW spr round 4 (radius: 5)
[01:15:18 -4864.656424] SLOW spr round 5 (radius: 10)
[01:15:32 -4864.656412] SLOW spr round 6 (radius: 15)
[01:15:54 -4863.713013] SLOW spr round 7 (radius: 5)
[01:16:14 -4863.151883] SLOW spr round 8 (radius: 5)
[01:16:31 -4863.037850] SLOW spr round 9 (radius: 5)
[01:16:46 -4863.037839] SLOW spr round 10 (radius: 10)
[01:17:00 -4860.440692] SLOW spr round 11 (radius: 5)
[01:17:20 -4859.820153] SLOW spr round 12 (radius: 5)
[01:17:37 -4859.820094] SLOW spr round 13 (radius: 10)
[01:17:52 -4859.701906] SLOW spr round 14 (radius: 5)
[01:18:11 -4859.701901] SLOW spr round 15 (radius: 10)
[01:18:29 -4859.701901] SLOW spr round 16 (radius: 15)
[01:18:48 -4859.645796] SLOW spr round 17 (radius: 20)
[01:19:11 -4857.000583] SLOW spr round 18 (radius: 5)
[01:19:32 -4856.996811] SLOW spr round 19 (radius: 10)
[01:19:52 -4856.996312] SLOW spr round 20 (radius: 15)
[01:20:13 -4856.043763] SLOW spr round 21 (radius: 5)
[01:20:34 -4856.042758] SLOW spr round 22 (radius: 10)
[01:20:54 -4856.042758] SLOW spr round 23 (radius: 15)
[01:21:14 -4856.042758] SLOW spr round 24 (radius: 20)
[01:21:38 -4856.042758] SLOW spr round 25 (radius: 25)
[01:21:59 -4856.042758] Model parameter optimization (eps = 0.100000)

[01:22:04] ML tree search #11, logLikelihood: -4852.863496

[01:22:04 -22094.847610] Initial branch length optimization
[01:22:04 -16630.092361] Model parameter optimization (eps = 10.000000)
[01:22:14 -16579.015166] AUTODETECT spr round 1 (radius: 5)
[01:22:25 -10547.203260] AUTODETECT spr round 2 (radius: 10)
[01:22:39 -7355.993135] AUTODETECT spr round 3 (radius: 15)
[01:22:56 -5859.168062] AUTODETECT spr round 4 (radius: 20)
[01:23:15 -5536.930545] AUTODETECT spr round 5 (radius: 25)
[01:23:34 -5467.140250] SPR radius for FAST iterations: 25 (autodetect)
[01:23:34 -5467.140250] Model parameter optimization (eps = 3.000000)
[01:23:46 -5441.662647] FAST spr round 1 (radius: 25)
[01:23:59 -4962.370021] FAST spr round 2 (radius: 25)
[01:24:11 -4914.518020] FAST spr round 3 (radius: 25)
[01:24:22 -4889.035408] FAST spr round 4 (radius: 25)
[01:24:32 -4884.827857] FAST spr round 5 (radius: 25)
[01:24:42 -4880.604593] FAST spr round 6 (radius: 25)
[01:24:52 -4880.604571] Model parameter optimization (eps = 1.000000)
[01:24:57 -4879.891607] SLOW spr round 1 (radius: 5)
[01:25:11 -4879.519702] SLOW spr round 2 (radius: 5)
[01:25:23 -4879.257621] SLOW spr round 3 (radius: 5)
[01:25:36 -4879.257621] SLOW spr round 4 (radius: 10)
[01:25:51 -4873.258514] SLOW spr round 5 (radius: 5)
[01:26:10 -4873.101610] SLOW spr round 6 (radius: 5)
[01:26:26 -4873.101609] SLOW spr round 7 (radius: 10)
[01:26:40 -4873.101606] SLOW spr round 8 (radius: 15)
[01:27:03 -4863.573983] SLOW spr round 9 (radius: 5)
[01:27:24 -4858.678362] SLOW spr round 10 (radius: 5)
[01:27:40 -4858.678362] SLOW spr round 11 (radius: 10)
[01:27:55 -4858.678362] SLOW spr round 12 (radius: 15)
[01:28:16 -4858.678362] SLOW spr round 13 (radius: 20)
[01:28:41 -4858.621096] SLOW spr round 14 (radius: 25)
[01:29:04 -4858.621089] Model parameter optimization (eps = 0.100000)

[01:29:11] ML tree search #12, logLikelihood: -4854.530318

[01:29:11 -21511.782601] Initial branch length optimization
[01:29:11 -16376.773422] Model parameter optimization (eps = 10.000000)
[01:29:22 -16303.265984] AUTODETECT spr round 1 (radius: 5)
[01:29:33 -9561.210441] AUTODETECT spr round 2 (radius: 10)
[01:29:48 -6600.739784] AUTODETECT spr round 3 (radius: 15)
[01:30:03 -5825.980205] AUTODETECT spr round 4 (radius: 20)
[01:30:18 -5637.092068] AUTODETECT spr round 5 (radius: 25)
[01:30:33 -5612.084721] SPR radius for FAST iterations: 25 (autodetect)
[01:30:33 -5612.084721] Model parameter optimization (eps = 3.000000)
[01:30:43 -5564.768384] FAST spr round 1 (radius: 25)
[01:30:57 -4912.260589] FAST spr round 2 (radius: 25)
[01:31:09 -4902.436287] FAST spr round 3 (radius: 25)
[01:31:20 -4897.692031] FAST spr round 4 (radius: 25)
[01:31:29 -4897.691961] Model parameter optimization (eps = 1.000000)
[01:31:37 -4889.763270] SLOW spr round 1 (radius: 5)
[01:31:51 -4882.846480] SLOW spr round 2 (radius: 5)
[01:32:05 -4881.672016] SLOW spr round 3 (radius: 5)
[01:32:19 -4881.367717] SLOW spr round 4 (radius: 5)
[01:32:33 -4881.367681] SLOW spr round 5 (radius: 10)
[01:32:48 -4873.152871] SLOW spr round 6 (radius: 5)
[01:33:08 -4873.152764] SLOW spr round 7 (radius: 10)
[01:33:24 -4873.152760] SLOW spr round 8 (radius: 15)
[01:33:42 -4869.608542] SLOW spr round 9 (radius: 5)
[01:34:03 -4869.608511] SLOW spr round 10 (radius: 10)
[01:34:20 -4869.608503] SLOW spr round 11 (radius: 15)
[01:34:37 -4869.608502] SLOW spr round 12 (radius: 20)
[01:34:57 -4869.608502] SLOW spr round 13 (radius: 25)
[01:35:15 -4869.608502] Model parameter optimization (eps = 0.100000)

[01:35:20] ML tree search #13, logLikelihood: -4869.437228

[01:35:20 -21776.097865] Initial branch length optimization
[01:35:20 -16514.672824] Model parameter optimization (eps = 10.000000)
[01:35:29 -16463.623248] AUTODETECT spr round 1 (radius: 5)
[01:35:40 -9982.706474] AUTODETECT spr round 2 (radius: 10)
[01:35:54 -6630.951711] AUTODETECT spr round 3 (radius: 15)
[01:36:09 -6279.879937] AUTODETECT spr round 4 (radius: 20)
[01:36:24 -6101.510721] AUTODETECT spr round 5 (radius: 25)
[01:36:43 -5826.335500] SPR radius for FAST iterations: 25 (autodetect)
[01:36:43 -5826.335500] Model parameter optimization (eps = 3.000000)
[01:36:51 -5800.136613] FAST spr round 1 (radius: 25)
[01:37:05 -5298.070883] FAST spr round 2 (radius: 25)
[01:37:17 -4929.488075] FAST spr round 3 (radius: 25)
[01:37:28 -4873.010323] FAST spr round 4 (radius: 25)
[01:37:38 -4873.009965] Model parameter optimization (eps = 1.000000)
[01:37:46 -4864.308192] SLOW spr round 1 (radius: 5)
[01:38:00 -4862.627240] SLOW spr round 2 (radius: 5)
[01:38:14 -4862.626478] SLOW spr round 3 (radius: 10)
[01:38:29 -4854.096509] SLOW spr round 4 (radius: 5)
[01:38:49 -4853.937335] SLOW spr round 5 (radius: 5)
[01:39:06 -4853.936994] SLOW spr round 6 (radius: 10)
[01:39:20 -4853.936989] SLOW spr round 7 (radius: 15)
[01:39:43 -4853.936969] SLOW spr round 8 (radius: 20)
[01:40:06 -4853.936969] SLOW spr round 9 (radius: 25)
[01:40:27 -4853.936969] Model parameter optimization (eps = 0.100000)

[01:40:30] ML tree search #14, logLikelihood: -4853.887230

[01:40:30 -21571.117161] Initial branch length optimization
[01:40:30 -16528.365112] Model parameter optimization (eps = 10.000000)
[01:40:38 -16484.565596] AUTODETECT spr round 1 (radius: 5)
[01:40:49 -10424.853914] AUTODETECT spr round 2 (radius: 10)
[01:41:03 -7407.856683] AUTODETECT spr round 3 (radius: 15)
[01:41:19 -6703.294953] AUTODETECT spr round 4 (radius: 20)
[01:41:36 -6115.785463] AUTODETECT spr round 5 (radius: 25)
[01:41:51 -6077.078155] SPR radius for FAST iterations: 25 (autodetect)
[01:41:51 -6077.078155] Model parameter optimization (eps = 3.000000)
[01:42:00 -6047.313232] FAST spr round 1 (radius: 25)
[01:42:13 -4946.125830] FAST spr round 2 (radius: 25)
[01:42:25 -4874.968830] FAST spr round 3 (radius: 25)
[01:42:36 -4864.483694] FAST spr round 4 (radius: 25)
[01:42:47 -4864.482759] Model parameter optimization (eps = 1.000000)
[01:42:54 -4860.583429] SLOW spr round 1 (radius: 5)
[01:43:08 -4860.346012] SLOW spr round 2 (radius: 5)
[01:43:21 -4860.345962] SLOW spr round 3 (radius: 10)
[01:43:35 -4855.719336] SLOW spr round 4 (radius: 5)
[01:43:54 -4855.719320] SLOW spr round 5 (radius: 10)
[01:44:11 -4855.457386] SLOW spr round 6 (radius: 5)
[01:44:29 -4855.457382] SLOW spr round 7 (radius: 10)
[01:44:46 -4855.457378] SLOW spr round 8 (radius: 15)
[01:45:06 -4854.918752] SLOW spr round 9 (radius: 5)
[01:45:26 -4854.918748] SLOW spr round 10 (radius: 10)
[01:45:45 -4854.918744] SLOW spr round 11 (radius: 15)
[01:46:05 -4854.918744] SLOW spr round 12 (radius: 20)
[01:46:29 -4854.568096] SLOW spr round 13 (radius: 5)
[01:46:50 -4854.568062] SLOW spr round 14 (radius: 10)
[01:47:09 -4854.568058] SLOW spr round 15 (radius: 15)
[01:47:29 -4854.568058] SLOW spr round 16 (radius: 20)
[01:47:52 -4854.568058] SLOW spr round 17 (radius: 25)
[01:48:13 -4854.568058] Model parameter optimization (eps = 0.100000)

[01:48:15] ML tree search #15, logLikelihood: -4854.553332

[01:48:15 -21936.820184] Initial branch length optimization
[01:48:15 -16679.712442] Model parameter optimization (eps = 10.000000)
[01:48:25 -16605.451752] AUTODETECT spr round 1 (radius: 5)
[01:48:36 -9848.487942] AUTODETECT spr round 2 (radius: 10)
[01:48:49 -7534.375334] AUTODETECT spr round 3 (radius: 15)
[01:49:05 -6450.422316] AUTODETECT spr round 4 (radius: 20)
[01:49:25 -5991.229912] AUTODETECT spr round 5 (radius: 25)
[01:49:41 -5895.762019] SPR radius for FAST iterations: 25 (autodetect)
[01:49:41 -5895.762019] Model parameter optimization (eps = 3.000000)
[01:49:46 -5886.787117] FAST spr round 1 (radius: 25)
[01:49:59 -4935.892564] FAST spr round 2 (radius: 25)
[01:50:11 -4889.009933] FAST spr round 3 (radius: 25)
[01:50:21 -4885.789278] FAST spr round 4 (radius: 25)
[01:50:31 -4885.789225] Model parameter optimization (eps = 1.000000)
[01:50:39 -4878.612520] SLOW spr round 1 (radius: 5)
[01:50:54 -4875.329891] SLOW spr round 2 (radius: 5)
[01:51:08 -4875.326706] SLOW spr round 3 (radius: 10)
[01:51:23 -4875.303214] SLOW spr round 4 (radius: 15)
[01:51:45 -4873.326379] SLOW spr round 5 (radius: 5)
[01:52:06 -4872.620755] SLOW spr round 6 (radius: 5)
[01:52:24 -4872.620700] SLOW spr round 7 (radius: 10)
[01:52:39 -4872.586138] SLOW spr round 8 (radius: 15)
[01:53:00 -4872.371192] SLOW spr round 9 (radius: 5)
[01:53:21 -4872.213797] SLOW spr round 10 (radius: 5)
[01:53:38 -4872.213787] SLOW spr round 11 (radius: 10)
[01:53:53 -4872.213770] SLOW spr round 12 (radius: 15)
[01:54:15 -4872.213770] SLOW spr round 13 (radius: 20)
[01:54:37 -4871.586693] SLOW spr round 14 (radius: 5)
[01:54:58 -4871.586685] SLOW spr round 15 (radius: 10)
[01:55:19 -4871.498337] SLOW spr round 16 (radius: 15)
[01:55:38 -4871.498336] SLOW spr round 17 (radius: 20)
[01:56:01 -4866.307130] SLOW spr round 18 (radius: 5)
[01:56:22 -4866.304352] SLOW spr round 19 (radius: 10)
[01:56:43 -4865.984549] SLOW spr round 20 (radius: 5)
[01:57:01 -4865.984544] SLOW spr round 21 (radius: 10)
[01:57:18 -4865.984544] SLOW spr round 22 (radius: 15)
[01:57:38 -4865.984544] SLOW spr round 23 (radius: 20)
[01:58:01 -4865.984544] SLOW spr round 24 (radius: 25)
[01:58:24 -4865.984544] Model parameter optimization (eps = 0.100000)

[01:58:29] ML tree search #16, logLikelihood: -4865.414249

[01:58:29 -21392.596434] Initial branch length optimization
[01:58:29 -16222.851504] Model parameter optimization (eps = 10.000000)
[01:58:38 -16154.272614] AUTODETECT spr round 1 (radius: 5)
[01:58:49 -9851.134107] AUTODETECT spr round 2 (radius: 10)
[01:59:03 -7117.194651] AUTODETECT spr round 3 (radius: 15)
[01:59:19 -6218.973356] AUTODETECT spr round 4 (radius: 20)
[01:59:40 -5902.129527] AUTODETECT spr round 5 (radius: 25)
[02:00:00 -5891.996252] SPR radius for FAST iterations: 25 (autodetect)
[02:00:00 -5891.996252] Model parameter optimization (eps = 3.000000)
[02:00:08 -5881.218623] FAST spr round 1 (radius: 25)
[02:00:21 -4942.947641] FAST spr round 2 (radius: 25)
[02:00:32 -4884.594798] FAST spr round 3 (radius: 25)
[02:00:43 -4883.448832] FAST spr round 4 (radius: 25)
[02:00:54 -4883.448698] Model parameter optimization (eps = 1.000000)
[02:01:02 -4874.322819] SLOW spr round 1 (radius: 5)
[02:01:16 -4872.214645] SLOW spr round 2 (radius: 5)
[02:01:30 -4872.055655] SLOW spr round 3 (radius: 5)
[02:01:44 -4872.055523] SLOW spr round 4 (radius: 10)
[02:01:59 -4872.046384] SLOW spr round 5 (radius: 15)
[02:02:23 -4863.674992] SLOW spr round 6 (radius: 5)
[02:02:44 -4863.674818] SLOW spr round 7 (radius: 10)
[02:03:03 -4863.674807] SLOW spr round 8 (radius: 15)
[02:03:26 -4863.340017] SLOW spr round 9 (radius: 5)
[02:03:46 -4863.340000] SLOW spr round 10 (radius: 10)
[02:04:05 -4863.340000] SLOW spr round 11 (radius: 15)
[02:04:28 -4863.307033] SLOW spr round 12 (radius: 20)
[02:04:57 -4862.755531] SLOW spr round 13 (radius: 5)
[02:05:18 -4862.755531] SLOW spr round 14 (radius: 10)
[02:05:38 -4862.755531] SLOW spr round 15 (radius: 15)
[02:06:01 -4862.755531] SLOW spr round 16 (radius: 20)
[02:06:31 -4862.755531] SLOW spr round 17 (radius: 25)
[02:06:58 -4862.755531] Model parameter optimization (eps = 0.100000)

[02:07:04] ML tree search #17, logLikelihood: -4859.174439

[02:07:04 -21666.198427] Initial branch length optimization
[02:07:05 -16154.317245] Model parameter optimization (eps = 10.000000)
[02:07:13 -16094.692297] AUTODETECT spr round 1 (radius: 5)
[02:07:24 -10081.462930] AUTODETECT spr round 2 (radius: 10)
[02:07:38 -7144.787387] AUTODETECT spr round 3 (radius: 15)
[02:07:55 -6155.670644] AUTODETECT spr round 4 (radius: 20)
[02:08:13 -5741.641949] AUTODETECT spr round 5 (radius: 25)
[02:08:31 -5711.701342] SPR radius for FAST iterations: 25 (autodetect)
[02:08:31 -5711.701342] Model parameter optimization (eps = 3.000000)
[02:08:39 -5672.856854] FAST spr round 1 (radius: 25)
[02:08:52 -5053.846793] FAST spr round 2 (radius: 25)
[02:09:05 -4873.049517] FAST spr round 3 (radius: 25)
[02:09:15 -4870.833392] FAST spr round 4 (radius: 25)
[02:09:25 -4868.708956] FAST spr round 5 (radius: 25)
[02:09:34 -4868.708925] Model parameter optimization (eps = 1.000000)
[02:09:39 -4867.702371] SLOW spr round 1 (radius: 5)
[02:09:53 -4867.255239] SLOW spr round 2 (radius: 5)
[02:10:06 -4866.317415] SLOW spr round 3 (radius: 5)
[02:10:19 -4866.317411] SLOW spr round 4 (radius: 10)
[02:10:33 -4866.317409] SLOW spr round 5 (radius: 15)
[02:10:56 -4865.822416] SLOW spr round 6 (radius: 5)
[02:11:17 -4865.822416] SLOW spr round 7 (radius: 10)
[02:11:37 -4858.186082] SLOW spr round 8 (radius: 5)
[02:11:55 -4858.027812] SLOW spr round 9 (radius: 5)
[02:12:10 -4858.027808] SLOW spr round 10 (radius: 10)
[02:12:24 -4858.027807] SLOW spr round 11 (radius: 15)
[02:12:49 -4858.027807] SLOW spr round 12 (radius: 20)
[02:13:16 -4858.027807] SLOW spr round 13 (radius: 25)
[02:13:40 -4858.027807] Model parameter optimization (eps = 0.100000)

[02:13:42] ML tree search #18, logLikelihood: -4858.000922

[02:13:42 -21138.984959] Initial branch length optimization
[02:13:42 -16299.109428] Model parameter optimization (eps = 10.000000)
[02:13:53 -16198.816952] AUTODETECT spr round 1 (radius: 5)
[02:14:04 -9608.968228] AUTODETECT spr round 2 (radius: 10)
[02:14:17 -7171.165618] AUTODETECT spr round 3 (radius: 15)
[02:14:31 -6174.330057] AUTODETECT spr round 4 (radius: 20)
[02:14:47 -5521.021175] AUTODETECT spr round 5 (radius: 25)
[02:15:03 -5519.307987] SPR radius for FAST iterations: 25 (autodetect)
[02:15:03 -5519.307987] Model parameter optimization (eps = 3.000000)
[02:15:14 -5509.762515] FAST spr round 1 (radius: 25)
[02:15:27 -4912.576504] FAST spr round 2 (radius: 25)
[02:15:38 -4885.464902] FAST spr round 3 (radius: 25)
[02:15:49 -4882.870382] FAST spr round 4 (radius: 25)
[02:16:00 -4882.870295] Model parameter optimization (eps = 1.000000)
[02:16:05 -4881.530120] SLOW spr round 1 (radius: 5)
[02:16:19 -4879.371888] SLOW spr round 2 (radius: 5)
[02:16:33 -4879.371542] SLOW spr round 3 (radius: 10)
[02:16:48 -4879.371440] SLOW spr round 4 (radius: 15)
[02:17:12 -4867.200120] SLOW spr round 5 (radius: 5)
[02:17:33 -4866.218646] SLOW spr round 6 (radius: 5)
[02:17:51 -4866.218626] SLOW spr round 7 (radius: 10)
[02:18:05 -4866.218608] SLOW spr round 8 (radius: 15)
[02:18:29 -4864.825963] SLOW spr round 9 (radius: 5)
[02:18:51 -4861.793937] SLOW spr round 10 (radius: 5)
[02:19:09 -4861.170185] SLOW spr round 11 (radius: 5)
[02:19:24 -4861.170050] SLOW spr round 12 (radius: 10)
[02:19:38 -4861.170049] SLOW spr round 13 (radius: 15)
[02:20:01 -4861.170049] SLOW spr round 14 (radius: 20)
[02:20:23 -4857.562186] SLOW spr round 15 (radius: 5)
[02:20:45 -4857.141643] SLOW spr round 16 (radius: 5)
[02:21:03 -4857.141641] SLOW spr round 17 (radius: 10)
[02:21:17 -4857.141640] SLOW spr round 18 (radius: 15)
[02:21:42 -4857.141640] SLOW spr round 19 (radius: 20)
[02:22:06 -4857.141640] SLOW spr round 20 (radius: 25)
[02:22:31 -4857.141640] Model parameter optimization (eps = 0.100000)

[02:22:38] ML tree search #19, logLikelihood: -4852.551231

[02:22:38 -21276.572397] Initial branch length optimization
[02:22:38 -16255.399632] Model parameter optimization (eps = 10.000000)
[02:22:46 -16180.372040] AUTODETECT spr round 1 (radius: 5)
[02:22:57 -10391.565652] AUTODETECT spr round 2 (radius: 10)
[02:23:11 -7087.826236] AUTODETECT spr round 3 (radius: 15)
[02:23:27 -6009.106475] AUTODETECT spr round 4 (radius: 20)
[02:23:47 -5837.464682] AUTODETECT spr round 5 (radius: 25)
[02:24:09 -5525.241135] SPR radius for FAST iterations: 25 (autodetect)
[02:24:09 -5525.241135] Model parameter optimization (eps = 3.000000)
[02:24:17 -5509.510299] FAST spr round 1 (radius: 25)
[02:24:30 -4903.590476] FAST spr round 2 (radius: 25)
[02:24:41 -4873.005323] FAST spr round 3 (radius: 25)
[02:24:51 -4872.047749] FAST spr round 4 (radius: 25)
[02:25:01 -4872.045870] Model parameter optimization (eps = 1.000000)
[02:25:07 -4867.931048] SLOW spr round 1 (radius: 5)
[02:25:21 -4865.919028] SLOW spr round 2 (radius: 5)
[02:25:35 -4865.851973] SLOW spr round 3 (radius: 10)
[02:25:50 -4860.363757] SLOW spr round 4 (radius: 5)
[02:26:10 -4860.138341] SLOW spr round 5 (radius: 5)
[02:26:27 -4860.138322] SLOW spr round 6 (radius: 10)
[02:26:41 -4860.138315] SLOW spr round 7 (radius: 15)
[02:27:05 -4860.138311] SLOW spr round 8 (radius: 20)
[02:27:29 -4860.110136] SLOW spr round 9 (radius: 25)
[02:27:55 -4860.110133] Model parameter optimization (eps = 0.100000)

[02:27:58] ML tree search #20, logLikelihood: -4859.931861


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.068292,0.071690) (0.216298,0.176701) (0.559174,1.089032) (0.156236,2.226923) 
   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: -4852.155748

AIC score: 10722.311495 / AICc score: 529902.311495 / BIC score: 11813.167071
Free parameters (model + branch lengths): 509

WARNING: Number of free parameters (K=509) is larger than alignment size (n=63).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A2RU30/3_mltree/A2RU30.raxml.log

Analysis started: 26-Jul-2021 05:25:32 / finished: 26-Jul-2021 07:53:31

Elapsed time: 8878.586 seconds

Consumed energy: 370.034 Wh (= 2 km in an electric car, or 9 km with an e-scooter!)