RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 02-Jul-2021 23:06:00 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/2_msa/A8MUP6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6 --seed 2 --threads 2 --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 (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/2_msa/A8MUP6_trimmed_msa.fasta
[00:00:00] Loaded alignment with 331 taxa and 91 sites

WARNING: Sequences sp_Q4V922_GSG1L_DANRE_7955 and tr_A0A3B1J0Y9_A0A3B1J0Y9_ASTMX_7994 are exactly identical!
WARNING: Sequences sp_Q4V922_GSG1L_DANRE_7955 and tr_A0A2D0SIA1_A0A2D0SIA1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_E1BQK0_E1BQK0_CHICK_9031 and tr_G1NH42_G1NH42_MELGA_9103 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_G1N911_G1N911_MELGA_9103 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_I3N5Z5_I3N5Z5_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_H0VH52_H0VH52_CAVPO_10141 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_H0Z292_H0Z292_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_U3JN58_U3JN58_FICAL_59894 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_U3I6C7_U3I6C7_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091DR16_A0A091DR16_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A0Q3TVP4_A0A0Q3TVP4_AMAAE_12930 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091F3V7_A0A091F3V7_CORBR_85066 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091IVL8_A0A091IVL8_EGRGA_188379 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A093PFV1_A0A093PFV1_9PASS_328815 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091UQD6_A0A091UQD6_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A087QIF7_A0A087QIF7_APTFO_9233 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A093HEW4_A0A093HEW4_STRCA_441894 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091W976_A0A091W976_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A099ZU27_A0A099ZU27_TINGU_94827 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091GID6_A0A091GID6_9AVES_55661 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A0A0AB53_A0A0A0AB53_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A2I0M469_A0A2I0M469_COLLI_8932 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A093H523_A0A093H523_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A091II66_A0A091II66_CALAN_9244 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A1V4KTC4_A0A1V4KTC4_PATFA_372326 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A218UNR3_A0A218UNR3_9PASE_299123 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A226MHY9_A0A226MHY9_CALSU_9009 are exactly identical!
WARNING: Sequences tr_E1BSG3_E1BSG3_CHICK_9031 and tr_A0A226P534_A0A226P534_COLVI_9014 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2I3G1G0_A0A2I3G1G0_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_G3SGI7_G3SGI7_GORGO_9595 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_H2NQH5_H2NQH5_PONAB_9601 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_G1U763_G1U763_RABIT_9986 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_J9JHD0_J9JHD0_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_H2RAA1_H2RAA1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_F7FMR1_F7FMR1_ORNAN_9258 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_H0XEA1_H0XEA1_OTOGA_30611 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and sp_Q6UXU4_GSG1L_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_F6Q0M1_F6Q0M1_MACMU_9544 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_K7G348_K7G348_PELSI_13735 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_U3CDQ6_U3CDQ6_CALJA_9483 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_M3XKP3_M3XKP3_LATCH_7897 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_E1BM65_E1BM65_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_L5KK58_L5KK58_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A337S2N8_A0A337S2N8_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2I3MMU5_A0A2I3MMU5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A0D9R257_A0A0D9R257_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A1S3WHR9_A0A1S3WHR9_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A1S3ESP2_A0A1S3ESP2_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A1U7TSI1_A0A1U7TSI1_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2K5P1Z4_A0A2K5P1Z4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2K6APG8_A0A2K6APG8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2K5ZIP4_A0A2K5ZIP4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2R9B545_A0A2R9B545_PANPA_9597 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2U4A902_A0A2U4A902_TURTR_9739 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2U3VQ46_A0A2U3VQ46_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2Y9RNU8_A0A2Y9RNU8_TRIMA_127582 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2Y9L8N5_A0A2Y9L8N5_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A2Y9PLI0_A0A2Y9PLI0_DELLE_9749 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A384BLY2_A0A384BLY2_URSMA_29073 are exactly identical!
WARNING: Sequences tr_M3YNC2_M3YNC2_MUSPF_9669 and tr_A0A384AI68_A0A384AI68_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2I3HCH4_A0A2I3HCH4_NOMLE_61853 and tr_G3QZQ9_G3QZQ9_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HCH4_A0A2I3HCH4_NOMLE_61853 and tr_H2Q5H8_H2Q5H8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QZL8_G3QZL8_GORGO_9595 and tr_A0A2K5KJM9_A0A2K5KJM9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_H2NSQ4_H2NSQ4_PONAB_9601 and tr_A0A0D9RCX7_A0A0D9RCX7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6WEP2_F6WEP2_MONDO_13616 and tr_W5NRS6_W5NRS6_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_D3ZK93_GSG1L_RAT_10116 and tr_A0A1U7Q6T8_A0A1U7Q6T8_MESAU_10036 are exactly identical!
WARNING: Sequences tr_A0A3B5PTU3_A0A3B5PTU3_XIPMA_8083 and tr_I3JSS8_I3JSS8_ORENI_8128 are exactly identical!
WARNING: Sequences tr_A0A3B5PTU3_A0A3B5PTU3_XIPMA_8083 and tr_H3BXB7_H3BXB7_TETNG_99883 are exactly identical!
WARNING: Sequences tr_A0A3B5PTU3_A0A3B5PTU3_XIPMA_8083 and tr_A0A087YKT2_A0A087YKT2_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A3B5PTU3_A0A3B5PTU3_XIPMA_8083 and tr_A0A2U9CSB1_A0A2U9CSB1_SCOMX_52904 are exactly identical!
WARNING: Sequences tr_A0A3B5QW97_A0A3B5QW97_XIPMA_8083 and tr_A0A087XMI2_A0A087XMI2_POEFO_48698 are exactly identical!
WARNING: Sequences tr_M4A5N9_M4A5N9_XIPMA_8083 and tr_A0A087YLV6_A0A087YLV6_POEFO_48698 are exactly identical!
WARNING: Sequences tr_M4A5N9_M4A5N9_XIPMA_8083 and tr_A0A2I4CSY3_A0A2I4CSY3_9TELE_52670 are exactly identical!
WARNING: Sequences tr_M4ABY1_M4ABY1_XIPMA_8083 and tr_A0A087XYV5_A0A087XYV5_POEFO_48698 are exactly identical!
WARNING: Sequences tr_M4ANQ0_M4ANQ0_XIPMA_8083 and tr_A0A087XCS8_A0A087XCS8_POEFO_48698 are exactly identical!
WARNING: Sequences tr_I3KU40_I3KU40_ORENI_8128 and tr_A0A2U9CN27_A0A2U9CN27_SCOMX_52904 are exactly identical!
WARNING: Sequences tr_A0A1D5QQH8_A0A1D5QQH8_MACMU_9544 and tr_G7PJW9_G7PJW9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QQH8_A0A1D5QQH8_MACMU_9544 and tr_A0A2I3N4J3_A0A2I3N4J3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QQH8_A0A1D5QQH8_MACMU_9544 and tr_A0A0D9R846_A0A0D9R846_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_H0ZAZ5_H0ZAZ5_TAEGU_59729 and tr_A0A218UH01_A0A218UH01_9PASE_299123 are exactly identical!
WARNING: Sequences tr_H0ZGL4_H0ZGL4_TAEGU_59729 and tr_A0A218V0A0_A0A218V0A0_9PASE_299123 are exactly identical!
WARNING: Sequences tr_A0A1B8Y3I5_A0A1B8Y3I5_XENTR_8364 and tr_A0A1L8ENC5_A0A1L8ENC5_XENLA_8355 are exactly identical!
WARNING: Sequences sp_A4IIV4_GSG1L_XENTR_8364 and tr_A0A1L8FGT3_A0A1L8FGT3_XENLA_8355 are exactly identical!
WARNING: Sequences tr_F6XCN0_F6XCN0_XENTR_8364 and tr_A0A1L8EQ52_A0A1L8EQ52_XENLA_8355 are exactly identical!
WARNING: Sequences tr_U3I2C5_U3I2C5_ANAPL_8839 and tr_A0A0Q3X133_A0A0Q3X133_AMAAE_12930 are exactly identical!
WARNING: Sequences tr_U3I2C5_U3I2C5_ANAPL_8839 and tr_A0A091W1S4_A0A091W1S4_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_U3I2C5_U3I2C5_ANAPL_8839 and tr_A0A087QLY0_A0A087QLY0_APTFO_9233 are exactly identical!
WARNING: Sequences tr_U3I2C5_U3I2C5_ANAPL_8839 and tr_A0A091FR79_A0A091FR79_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A151LYY9_A0A151LYY9_ALLMI_8496 and tr_A0A3Q0GQX7_A0A3Q0GQX7_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A2I0LJA5_A0A2I0LJA5_COLLI_8932 and tr_A0A1V4JGS9_A0A1V4JGS9_PATFA_372326 are exactly identical!
WARNING: Sequences tr_R7VTE7_R7VTE7_COLLI_8932 and tr_A0A1V4J9Y4_A0A1V4J9Y4_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3L605_A0A1S3L605_SALSA_8030 and tr_A0A1S3Q1Y1_A0A1S3Q1Y1_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A1S3Q0G4_A0A1S3Q0G4_SALSA_8030 and tr_A0A060WD03_A0A060WD03_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3Q537_A0A1S3Q537_SALSA_8030 and tr_A0A060Y0D4_A0A060Y0D4_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3QE29_A0A1S3QE29_SALSA_8030 and tr_A0A1S3RYE3_A0A1S3RYE3_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A1S3QE29_A0A1S3QE29_SALSA_8030 and tr_A0A060Y2V5_A0A060Y2V5_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3R9V1_A0A1S3R9V1_SALSA_8030 and tr_A0A1S3R9V2_A0A1S3R9V2_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A1S3S491_A0A1S3S491_SALSA_8030 and tr_A0A060Z489_A0A060Z489_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A226MER0_A0A226MER0_CALSU_9009 and tr_A0A226NZ50_A0A226NZ50_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A226NFE1_A0A226NFE1_CALSU_9009 and tr_A0A226NVA0_A0A226NVA0_COLVI_9014 are exactly identical!
WARNING: Duplicate sequences found: 100

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/A8MUP6/3_mltree/A8MUP6.raxml.reduced.phy

Alignment comprises 1 partitions and 91 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 91 / 91
Gaps: 4.43 %
Invariant sites: 1.10 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.rba

Parallelization scheme autoconfig: 2 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 331 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 91 / 7280
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -29805.493023] Initial branch length optimization
[00:00:00 -23216.986257] Model parameter optimization (eps = 10.000000)
[00:00:12 -23132.165319] AUTODETECT spr round 1 (radius: 5)
[00:00:25 -15749.223564] AUTODETECT spr round 2 (radius: 10)
[00:00:42 -10862.487919] AUTODETECT spr round 3 (radius: 15)
[00:01:03 -8554.131159] AUTODETECT spr round 4 (radius: 20)
[00:01:27 -7885.854154] AUTODETECT spr round 5 (radius: 25)
[00:01:47 -7875.046621] SPR radius for FAST iterations: 25 (autodetect)
[00:01:47 -7875.046621] Model parameter optimization (eps = 3.000000)
[00:01:55 -7845.154054] FAST spr round 1 (radius: 25)
[00:02:12 -6896.510237] FAST spr round 2 (radius: 25)
[00:02:27 -6827.826830] FAST spr round 3 (radius: 25)
[00:02:41 -6824.108006] FAST spr round 4 (radius: 25)
[00:02:53 -6824.099168] Model parameter optimization (eps = 1.000000)
[00:03:08 -6808.337791] SLOW spr round 1 (radius: 5)
[00:03:24 -6807.825626] SLOW spr round 2 (radius: 5)
[00:03:40 -6807.824498] SLOW spr round 3 (radius: 10)
[00:03:59 -6803.523564] SLOW spr round 4 (radius: 5)
[00:04:20 -6802.039187] SLOW spr round 5 (radius: 5)
[00:04:39 -6802.038876] SLOW spr round 6 (radius: 10)
[00:04:57 -6799.845499] SLOW spr round 7 (radius: 5)
[00:05:18 -6799.845193] SLOW spr round 8 (radius: 10)
[00:05:37 -6799.284176] SLOW spr round 9 (radius: 5)
[00:05:58 -6799.282132] SLOW spr round 10 (radius: 10)
[00:06:16 -6799.281642] SLOW spr round 11 (radius: 15)
[00:06:39 -6797.629662] SLOW spr round 12 (radius: 5)
[00:07:01 -6797.629317] SLOW spr round 13 (radius: 10)
[00:07:21 -6797.628977] SLOW spr round 14 (radius: 15)
[00:07:43 -6797.628635] SLOW spr round 15 (radius: 20)
[00:08:09 -6794.334253] SLOW spr round 16 (radius: 5)
[00:08:33 -6794.320766] SLOW spr round 17 (radius: 10)
[00:08:53 -6793.625108] SLOW spr round 18 (radius: 5)
[00:09:13 -6793.563429] SLOW spr round 19 (radius: 10)
[00:09:31 -6793.562864] SLOW spr round 20 (radius: 15)
[00:09:53 -6793.562843] SLOW spr round 21 (radius: 20)
[00:10:18 -6793.562840] SLOW spr round 22 (radius: 25)
[00:10:46] [worker #1] ML tree search #2, logLikelihood: -6796.352166
[00:10:47 -6793.562839] Model parameter optimization (eps = 0.100000)

[00:10:50] [worker #0] ML tree search #1, logLikelihood: -6793.316932

[00:10:50 -30353.775879] Initial branch length optimization
[00:10:51 -23794.549201] Model parameter optimization (eps = 10.000000)
[00:11:01 -23716.700501] AUTODETECT spr round 1 (radius: 5)
[00:11:15 -16194.885102] AUTODETECT spr round 2 (radius: 10)
[00:11:32 -11993.448426] AUTODETECT spr round 3 (radius: 15)
[00:11:55 -9518.759166] AUTODETECT spr round 4 (radius: 20)
[00:12:18 -8559.950333] AUTODETECT spr round 5 (radius: 25)
[00:12:39 -8409.617157] SPR radius for FAST iterations: 25 (autodetect)
[00:12:39 -8409.617157] Model parameter optimization (eps = 3.000000)
[00:12:50 -8379.053542] FAST spr round 1 (radius: 25)
[00:13:07 -7138.354892] FAST spr round 2 (radius: 25)
[00:13:22 -6840.188874] FAST spr round 3 (radius: 25)
[00:13:36 -6828.755472] FAST spr round 4 (radius: 25)
[00:13:48 -6828.755174] Model parameter optimization (eps = 1.000000)
[00:13:54 -6827.137216] SLOW spr round 1 (radius: 5)
[00:14:10 -6826.380082] SLOW spr round 2 (radius: 5)
[00:14:27 -6826.379397] SLOW spr round 3 (radius: 10)
[00:14:44 -6818.899592] SLOW spr round 4 (radius: 5)
[00:15:07 -6817.110792] SLOW spr round 5 (radius: 5)
[00:15:25 -6817.110567] SLOW spr round 6 (radius: 10)
[00:15:42 -6817.110564] SLOW spr round 7 (radius: 15)
[00:16:04 -6817.110564] SLOW spr round 8 (radius: 20)
[00:16:29 -6816.272849] SLOW spr round 9 (radius: 5)
[00:16:52 -6816.271791] SLOW spr round 10 (radius: 10)
[00:17:12 -6816.271739] SLOW spr round 11 (radius: 15)
[00:17:34 -6816.271688] SLOW spr round 12 (radius: 20)
[00:17:59 -6816.271688] SLOW spr round 13 (radius: 25)
[00:18:25 -6816.271688] Model parameter optimization (eps = 0.100000)

[00:18:31] [worker #0] ML tree search #3, logLikelihood: -6815.733919

[00:18:31 -29718.647917] Initial branch length optimization
[00:18:31 -23330.938617] Model parameter optimization (eps = 10.000000)
[00:18:42] [worker #1] ML tree search #4, logLikelihood: -6801.646536
[00:18:42 -23261.193095] AUTODETECT spr round 1 (radius: 5)
[00:18:56 -16347.843387] AUTODETECT spr round 2 (radius: 10)
[00:19:13 -11695.078957] AUTODETECT spr round 3 (radius: 15)
[00:19:34 -8881.473701] AUTODETECT spr round 4 (radius: 20)
[00:19:56 -8193.592105] AUTODETECT spr round 5 (radius: 25)
[00:20:20 -8176.636892] SPR radius for FAST iterations: 25 (autodetect)
[00:20:20 -8176.636892] Model parameter optimization (eps = 3.000000)
[00:20:27 -8138.208094] FAST spr round 1 (radius: 25)
[00:20:45 -6955.616889] FAST spr round 2 (radius: 25)
[00:21:00 -6821.592623] FAST spr round 3 (radius: 25)
[00:21:13 -6820.041869] FAST spr round 4 (radius: 25)
[00:21:26 -6816.720096] FAST spr round 5 (radius: 25)
[00:21:39 -6815.713170] FAST spr round 6 (radius: 25)
[00:21:51 -6815.712344] Model parameter optimization (eps = 1.000000)
[00:21:56 -6811.763054] SLOW spr round 1 (radius: 5)
[00:22:11 -6809.551263] SLOW spr round 2 (radius: 5)
[00:22:28 -6808.277057] SLOW spr round 3 (radius: 5)
[00:22:43 -6806.865371] SLOW spr round 4 (radius: 5)
[00:22:59 -6806.787169] SLOW spr round 5 (radius: 10)
[00:23:17 -6801.064300] SLOW spr round 6 (radius: 5)
[00:23:39 -6799.452518] SLOW spr round 7 (radius: 5)
[00:23:58 -6799.452048] SLOW spr round 8 (radius: 10)
[00:24:15 -6799.451678] SLOW spr round 9 (radius: 15)
[00:24:40 -6799.447122] SLOW spr round 10 (radius: 20)
[00:25:06 -6799.446747] SLOW spr round 11 (radius: 25)
[00:25:34 -6799.446369] Model parameter optimization (eps = 0.100000)

[00:25:36] [worker #0] ML tree search #5, logLikelihood: -6799.412496

[00:25:36 -30665.780488] Initial branch length optimization
[00:25:36 -23899.367459] Model parameter optimization (eps = 10.000000)
[00:25:47 -23818.488608] AUTODETECT spr round 1 (radius: 5)
[00:26:00 -15531.639161] AUTODETECT spr round 2 (radius: 10)
[00:26:17 -11330.590769] AUTODETECT spr round 3 (radius: 15)
[00:26:36 -8964.623294] AUTODETECT spr round 4 (radius: 20)
[00:26:56 -8693.787246] AUTODETECT spr round 5 (radius: 25)
[00:27:21 -8180.315429] SPR radius for FAST iterations: 25 (autodetect)
[00:27:21 -8180.315429] Model parameter optimization (eps = 3.000000)
[00:27:30 -8151.638706] FAST spr round 1 (radius: 25)
[00:27:47 -6989.984870] FAST spr round 2 (radius: 25)
[00:28:01 -6854.439706] FAST spr round 3 (radius: 25)
[00:28:15 -6840.471024] FAST spr round 4 (radius: 25)
[00:28:28 -6810.461533] FAST spr round 5 (radius: 25)
[00:28:41 -6810.460631] Model parameter optimization (eps = 1.000000)
[00:28:48 -6806.438708] SLOW spr round 1 (radius: 5)
[00:29:04 -6805.349562] SLOW spr round 2 (radius: 5)
[00:29:20 -6805.348133] SLOW spr round 3 (radius: 10)
[00:29:37 -6800.678193] SLOW spr round 4 (radius: 5)
[00:30:00 -6796.143974] SLOW spr round 5 (radius: 5)
[00:30:05] [worker #1] ML tree search #6, logLikelihood: -6787.918117
[00:30:19 -6796.143242] SLOW spr round 6 (radius: 10)
[00:30:36 -6796.143188] SLOW spr round 7 (radius: 15)
[00:31:02 -6796.143099] SLOW spr round 8 (radius: 20)
[00:31:31 -6796.143098] SLOW spr round 9 (radius: 25)
[00:32:03 -6796.055411] Model parameter optimization (eps = 0.100000)

[00:32:08] [worker #0] ML tree search #7, logLikelihood: -6795.546600

[00:32:08 -30365.528891] Initial branch length optimization
[00:32:08 -23720.318484] Model parameter optimization (eps = 10.000000)
[00:32:18 -23636.822951] AUTODETECT spr round 1 (radius: 5)
[00:32:31 -15483.801972] AUTODETECT spr round 2 (radius: 10)
[00:32:49 -11271.989713] AUTODETECT spr round 3 (radius: 15)
[00:33:09 -9139.378091] AUTODETECT spr round 4 (radius: 20)
[00:33:32 -8390.986897] AUTODETECT spr round 5 (radius: 25)
[00:34:00 -8151.583346] SPR radius for FAST iterations: 25 (autodetect)
[00:34:00 -8151.583346] Model parameter optimization (eps = 3.000000)
[00:34:08 -8107.928487] FAST spr round 1 (radius: 25)
[00:34:24 -6928.234994] FAST spr round 2 (radius: 25)
[00:34:38 -6821.028519] FAST spr round 3 (radius: 25)
[00:34:52 -6817.998476] FAST spr round 4 (radius: 25)
[00:35:06 -6815.448764] FAST spr round 5 (radius: 25)
[00:35:19 -6815.448556] Model parameter optimization (eps = 1.000000)
[00:35:23 -6814.971953] SLOW spr round 1 (radius: 5)
[00:35:39 -6813.816890] SLOW spr round 2 (radius: 5)
[00:35:55 -6812.162563] SLOW spr round 3 (radius: 5)
[00:36:11 -6812.162556] SLOW spr round 4 (radius: 10)
[00:36:29 -6808.109253] SLOW spr round 5 (radius: 5)
[00:36:51 -6806.043271] SLOW spr round 6 (radius: 5)
[00:37:10 -6805.007640] SLOW spr round 7 (radius: 5)
[00:37:27 -6805.007578] SLOW spr round 8 (radius: 10)
[00:37:45 -6805.007549] SLOW spr round 9 (radius: 15)
[00:38:10 -6795.270261] SLOW spr round 10 (radius: 5)
[00:38:33 -6795.270162] SLOW spr round 11 (radius: 10)
[00:38:40] [worker #1] ML tree search #8, logLikelihood: -6805.361076
[00:38:53 -6795.270137] SLOW spr round 12 (radius: 15)
[00:39:16 -6795.270135] SLOW spr round 13 (radius: 20)
[00:39:45 -6794.582797] SLOW spr round 14 (radius: 5)
[00:40:10 -6793.451571] SLOW spr round 15 (radius: 5)
[00:40:30 -6793.218790] SLOW spr round 16 (radius: 5)
[00:40:47 -6793.218785] SLOW spr round 17 (radius: 10)
[00:41:04 -6793.218708] SLOW spr round 18 (radius: 15)
[00:41:26 -6793.218705] SLOW spr round 19 (radius: 20)
[00:41:53 -6793.218705] SLOW spr round 20 (radius: 25)
[00:42:23 -6793.218705] Model parameter optimization (eps = 0.100000)

[00:42:25] [worker #0] ML tree search #9, logLikelihood: -6793.166914

[00:42:25 -30317.604790] Initial branch length optimization
[00:42:25 -23614.435026] Model parameter optimization (eps = 10.000000)
[00:42:36 -23544.206619] AUTODETECT spr round 1 (radius: 5)
[00:42:49 -16771.672432] AUTODETECT spr round 2 (radius: 10)
[00:43:06 -11250.036132] AUTODETECT spr round 3 (radius: 15)
[00:43:24 -9379.039949] AUTODETECT spr round 4 (radius: 20)
[00:43:44 -8838.127208] AUTODETECT spr round 5 (radius: 25)
[00:44:07 -8726.620748] SPR radius for FAST iterations: 25 (autodetect)
[00:44:07 -8726.620748] Model parameter optimization (eps = 3.000000)
[00:44:14 -8706.065967] FAST spr round 1 (radius: 25)
[00:44:31 -7159.019510] FAST spr round 2 (radius: 25)
[00:44:47 -6872.760649] FAST spr round 3 (radius: 25)
[00:45:01 -6825.379769] FAST spr round 4 (radius: 25)
[00:45:14 -6824.960680] FAST spr round 5 (radius: 25)
[00:45:27 -6824.960545] Model parameter optimization (eps = 1.000000)
[00:45:37 -6814.604330] SLOW spr round 1 (radius: 5)
[00:45:54 -6813.131485] SLOW spr round 2 (radius: 5)
[00:46:10 -6810.705230] SLOW spr round 3 (radius: 5)
[00:46:26 -6809.094820] SLOW spr round 4 (radius: 5)
[00:46:41 -6809.091187] SLOW spr round 5 (radius: 10)
[00:46:59 -6808.200377] SLOW spr round 6 (radius: 5)
[00:47:21 -6806.020231] SLOW spr round 7 (radius: 5)
[00:47:41 -6805.277789] SLOW spr round 8 (radius: 5)
[00:47:57 -6805.277711] SLOW spr round 9 (radius: 10)
[00:48:14 -6803.050588] SLOW spr round 10 (radius: 5)
[00:48:36 -6803.038057] SLOW spr round 11 (radius: 10)
[00:48:55 -6803.037498] SLOW spr round 12 (radius: 15)
[00:49:19 -6803.037350] SLOW spr round 13 (radius: 20)
[00:49:23] [worker #1] ML tree search #10, logLikelihood: -6804.032403
[00:49:46 -6803.037311] SLOW spr round 14 (radius: 25)
[00:50:15 -6796.612073] SLOW spr round 15 (radius: 5)
[00:50:39 -6796.612070] SLOW spr round 16 (radius: 10)
[00:51:01 -6796.612070] SLOW spr round 17 (radius: 15)
[00:51:26 -6796.612069] SLOW spr round 18 (radius: 20)
[00:51:53 -6796.612069] SLOW spr round 19 (radius: 25)
[00:52:22 -6796.612069] Model parameter optimization (eps = 0.100000)

[00:52:26] [worker #0] ML tree search #11, logLikelihood: -6796.313423

[00:52:26 -30296.508471] Initial branch length optimization
[00:52:26 -23781.055256] Model parameter optimization (eps = 10.000000)
[00:52:36 -23698.483006] AUTODETECT spr round 1 (radius: 5)
[00:52:49 -16779.277319] AUTODETECT spr round 2 (radius: 10)
[00:53:07 -11648.383201] AUTODETECT spr round 3 (radius: 15)
[00:53:28 -9052.067642] AUTODETECT spr round 4 (radius: 20)
[00:53:51 -8569.386795] AUTODETECT spr round 5 (radius: 25)
[00:54:15 -8558.052504] SPR radius for FAST iterations: 25 (autodetect)
[00:54:15 -8558.052504] Model parameter optimization (eps = 3.000000)
[00:54:24 -8531.976260] FAST spr round 1 (radius: 25)
[00:54:41 -7034.814769] FAST spr round 2 (radius: 25)
[00:54:56 -6832.156336] FAST spr round 3 (radius: 25)
[00:55:10 -6814.550149] FAST spr round 4 (radius: 25)
[00:55:23 -6814.449027] FAST spr round 5 (radius: 25)
[00:55:35 -6814.448831] Model parameter optimization (eps = 1.000000)
[00:55:42 -6805.816137] SLOW spr round 1 (radius: 5)
[00:55:59 -6805.334803] SLOW spr round 2 (radius: 5)
[00:56:15 -6805.334364] SLOW spr round 3 (radius: 10)
[00:56:33 -6802.133135] SLOW spr round 4 (radius: 5)
[00:56:55 -6802.133002] SLOW spr round 5 (radius: 10)
[00:57:14 -6802.132922] SLOW spr round 6 (radius: 15)
[00:57:36 -6800.225617] SLOW spr round 7 (radius: 5)
[00:57:59 -6799.412183] SLOW spr round 8 (radius: 5)
[00:58:18 -6799.412164] SLOW spr round 9 (radius: 10)
[00:58:30] [worker #1] ML tree search #12, logLikelihood: -6793.323056
[00:58:36 -6799.412156] SLOW spr round 10 (radius: 15)
[00:58:58 -6799.412152] SLOW spr round 11 (radius: 20)
[00:59:24 -6798.193774] SLOW spr round 12 (radius: 5)
[00:59:48 -6797.123350] SLOW spr round 13 (radius: 5)
[01:00:07 -6797.123134] SLOW spr round 14 (radius: 10)
[01:00:25 -6797.122998] SLOW spr round 15 (radius: 15)
[01:00:47 -6797.122918] SLOW spr round 16 (radius: 20)
[01:01:12 -6797.122873] SLOW spr round 17 (radius: 25)
[01:01:42 -6797.122846] Model parameter optimization (eps = 0.100000)

[01:01:46] [worker #0] ML tree search #13, logLikelihood: -6796.897394

[01:01:46 -30121.204593] Initial branch length optimization
[01:01:46 -23782.379025] Model parameter optimization (eps = 10.000000)
[01:01:59 -23688.627426] AUTODETECT spr round 1 (radius: 5)
[01:02:13 -15819.525463] AUTODETECT spr round 2 (radius: 10)
[01:02:29 -11899.723789] AUTODETECT spr round 3 (radius: 15)
[01:02:51 -8789.430253] AUTODETECT spr round 4 (radius: 20)
[01:03:13 -8110.974804] AUTODETECT spr round 5 (radius: 25)
[01:03:40 -7906.940889] SPR radius for FAST iterations: 25 (autodetect)
[01:03:40 -7906.940889] Model parameter optimization (eps = 3.000000)
[01:03:53 -7885.157112] FAST spr round 1 (radius: 25)
[01:04:11 -6934.702501] FAST spr round 2 (radius: 25)
[01:04:25 -6821.137590] FAST spr round 3 (radius: 25)
[01:04:38 -6818.352268] FAST spr round 4 (radius: 25)
[01:04:50 -6818.166695] FAST spr round 5 (radius: 25)
[01:05:02 -6818.154950] Model parameter optimization (eps = 1.000000)
[01:05:07 -6814.041912] SLOW spr round 1 (radius: 5)
[01:05:23 -6811.881660] SLOW spr round 2 (radius: 5)
[01:05:39 -6808.911947] SLOW spr round 3 (radius: 5)
[01:05:56 -6808.911735] SLOW spr round 4 (radius: 10)
[01:06:14 -6797.984644] SLOW spr round 5 (radius: 5)
[01:06:36 -6794.990300] SLOW spr round 6 (radius: 5)
[01:06:47] [worker #1] ML tree search #14, logLikelihood: -6813.844562
[01:06:55 -6794.833985] SLOW spr round 7 (radius: 5)
[01:07:13 -6794.832602] SLOW spr round 8 (radius: 10)
[01:07:30 -6794.832358] SLOW spr round 9 (radius: 15)
[01:07:54 -6794.553721] SLOW spr round 10 (radius: 5)
[01:08:16 -6794.553389] SLOW spr round 11 (radius: 10)
[01:08:35 -6792.014959] SLOW spr round 12 (radius: 5)
[01:08:56 -6789.967008] SLOW spr round 13 (radius: 5)
[01:09:14 -6789.967005] SLOW spr round 14 (radius: 10)
[01:09:30 -6789.967003] SLOW spr round 15 (radius: 15)
[01:09:51 -6789.967000] SLOW spr round 16 (radius: 20)
[01:10:16 -6789.967000] SLOW spr round 17 (radius: 25)
[01:10:43 -6789.967000] Model parameter optimization (eps = 0.100000)

[01:10:47] [worker #0] ML tree search #15, logLikelihood: -6789.601907

[01:10:47 -29739.015196] Initial branch length optimization
[01:10:48 -23347.122469] Model parameter optimization (eps = 10.000000)
[01:10:58 -23263.306728] AUTODETECT spr round 1 (radius: 5)
[01:11:11 -15797.999933] AUTODETECT spr round 2 (radius: 10)
[01:11:29 -11503.852797] AUTODETECT spr round 3 (radius: 15)
[01:11:49 -8724.727587] AUTODETECT spr round 4 (radius: 20)
[01:12:12 -7999.549126] AUTODETECT spr round 5 (radius: 25)
[01:12:34 -7793.012978] SPR radius for FAST iterations: 25 (autodetect)
[01:12:34 -7793.012978] Model parameter optimization (eps = 3.000000)
[01:12:40 -7776.064122] FAST spr round 1 (radius: 25)
[01:12:55 -6873.021334] FAST spr round 2 (radius: 25)
[01:13:10 -6828.271798] FAST spr round 3 (radius: 25)
[01:13:23 -6824.349440] FAST spr round 4 (radius: 25)
[01:13:37 -6824.349280] Model parameter optimization (eps = 1.000000)
[01:13:46 -6816.096577] SLOW spr round 1 (radius: 5)
[01:14:03 -6814.601515] SLOW spr round 2 (radius: 5)
[01:14:19 -6814.601337] SLOW spr round 3 (radius: 10)
[01:14:37 -6810.115304] SLOW spr round 4 (radius: 5)
[01:15:00 -6810.073231] SLOW spr round 5 (radius: 10)
[01:15:21 -6807.641104] SLOW spr round 6 (radius: 5)
[01:15:43 -6805.302515] SLOW spr round 7 (radius: 5)
[01:15:52] [worker #1] ML tree search #16, logLikelihood: -6806.980317
[01:16:02 -6805.302459] SLOW spr round 8 (radius: 10)
[01:16:20 -6805.302450] SLOW spr round 9 (radius: 15)
[01:16:45 -6805.302447] SLOW spr round 10 (radius: 20)
[01:17:10 -6805.302445] SLOW spr round 11 (radius: 25)
[01:17:37 -6805.302445] Model parameter optimization (eps = 0.100000)

[01:17:40] [worker #0] ML tree search #17, logLikelihood: -6805.152102

[01:17:40 -30542.690029] Initial branch length optimization
[01:17:40 -23885.052071] Model parameter optimization (eps = 10.000000)
[01:17:51 -23797.813797] AUTODETECT spr round 1 (radius: 5)
[01:18:05 -15413.376852] AUTODETECT spr round 2 (radius: 10)
[01:18:22 -11211.208219] AUTODETECT spr round 3 (radius: 15)
[01:18:45 -8951.804434] AUTODETECT spr round 4 (radius: 20)
[01:19:11 -8468.695903] AUTODETECT spr round 5 (radius: 25)
[01:19:38 -8466.842874] SPR radius for FAST iterations: 25 (autodetect)
[01:19:38 -8466.842874] Model parameter optimization (eps = 3.000000)
[01:19:50 -8441.765398] FAST spr round 1 (radius: 25)
[01:20:08 -6949.490874] FAST spr round 2 (radius: 25)
[01:20:24 -6860.209424] FAST spr round 3 (radius: 25)
[01:20:38 -6843.380548] FAST spr round 4 (radius: 25)
[01:20:52 -6823.728082] FAST spr round 5 (radius: 25)
[01:21:05 -6823.727464] Model parameter optimization (eps = 1.000000)
[01:21:11 -6817.780538] SLOW spr round 1 (radius: 5)
[01:21:28 -6816.960115] SLOW spr round 2 (radius: 5)
[01:21:44 -6815.522620] SLOW spr round 3 (radius: 5)
[01:22:01 -6813.970415] SLOW spr round 4 (radius: 5)
[01:22:17 -6813.886909] SLOW spr round 5 (radius: 10)
[01:22:35 -6806.712897] SLOW spr round 6 (radius: 5)
[01:22:57 -6805.394435] SLOW spr round 7 (radius: 5)
[01:23:15 -6805.394392] SLOW spr round 8 (radius: 10)
[01:23:32 -6805.394388] SLOW spr round 9 (radius: 15)
[01:23:54 -6804.885202] SLOW spr round 10 (radius: 5)
[01:24:17 -6804.885005] SLOW spr round 11 (radius: 10)
[01:24:35 -6803.847309] SLOW spr round 12 (radius: 5)
[01:24:56 -6803.847305] SLOW spr round 13 (radius: 10)
[01:25:15 -6803.847301] SLOW spr round 14 (radius: 15)
[01:25:36 -6803.847297] SLOW spr round 15 (radius: 20)
[01:26:01 -6803.847297] SLOW spr round 16 (radius: 25)
[01:26:27 -6803.847297] Model parameter optimization (eps = 0.100000)

[01:26:30] [worker #0] ML tree search #19, logLikelihood: -6803.832092

[01:27:50] [worker #1] ML tree search #18, logLikelihood: -6801.129640
[01:38:02] [worker #1] ML tree search #20, logLikelihood: -6795.158868

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.382950,0.492818) (0.245567,1.500720) (0.348258,1.078215) (0.023225,2.895633) 
   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: -6787.918117

AIC score: 14905.836234 / AICc score: 900685.836234 / BIC score: 16575.557806
Free parameters (model + branch lengths): 665

WARNING: Number of free parameters (K=665) is larger than alignment size (n=91).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 162 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A8MUP6/3_mltree/A8MUP6.raxml.log

Analysis started: 02-Jul-2021 23:06:00 / finished: 03-Jul-2021 00:44:03

Elapsed time: 5882.625 seconds

Consumed energy: 366.129 Wh (= 2 km in an electric car, or 9 km with an e-scooter!)