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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 18-Jul-2021 11:01:18 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/2_msa/Q9HAP2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/2_msa/Q9HAP2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 485 taxa and 68 sites

WARNING: Sequences tr_E2AME5_E2AME5_CAMFO_104421 and tr_A0A026VWD6_A0A026VWD6_OOCBI_2015173 are exactly identical!
WARNING: Sequences tr_A0A1D5P575_A0A1D5P575_CHICK_9031 and tr_U3IHQ7_U3IHQ7_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_A0A1D5P575_A0A1D5P575_CHICK_9031 and tr_A0A151N8W0_A0A151N8W0_ALLMI_8496 are exactly identical!
WARNING: Sequences tr_A0A1D5P575_A0A1D5P575_CHICK_9031 and tr_A0A093K055_A0A093K055_STRCA_441894 are exactly identical!
WARNING: Sequences tr_A0A1D5P575_A0A1D5P575_CHICK_9031 and tr_A0A091IFQ8_A0A091IFQ8_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A1D5P575_A0A1D5P575_CHICK_9031 and tr_A0A1U7SG92_A0A1U7SG92_ALLSI_38654 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_G3HLX6_G3HLX6_CRIGR_10029 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_G3R5L7_G3R5L7_GORGO_9595 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_Q5R6H5_Q5R6H5_PONAB_9601 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_G1T8Y5_G1T8Y5_RABIT_9986 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_H2QD25_H2QD25_PANTR_9598 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A2VCV8_A2VCV8_RAT_10116 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_H0X1F8_H0X1F8_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A286XKI9_A0A286XKI9_CAVPO_10141 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and sp_Q9UH92_MLX_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_F6YL60_F6YL60_MACMU_9544 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_G5B0J4_G5B0J4_HETGA_10181 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_G3SLI2_G3SLI2_LOXAF_9785 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_F7IB12_F7IB12_CALJA_9483 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2I3LGF4_A0A2I3LGF4_PAPAN_9555 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A091DBS4_A0A091DBS4_FUKDA_885580 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A0D9S1R7_A0A0D9S1R7_CHLSB_60711 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A1S3AHM4_A0A1S3AHM4_ERIEU_9365 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A1U7QDT2_A0A1U7QDT2_MESAU_10036 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2K5L0T5_A0A2K5L0T5_CERAT_9531 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2K6BFE4_A0A2K6BFE4_MACNE_9545 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2K5XD81_A0A2K5XD81_MANLE_9568 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2R9BNI6_A0A2R9BNI6_PANPA_9597 are exactly identical!
WARNING: Sequences sp_O08609_MLX_MOUSE_10090 and tr_A0A2Y9EC01_A0A2Y9EC01_TRIMA_127582 are exactly identical!
WARNING: Sequences sp_Q2VPU4_MLXIP_MOUSE_10090 and tr_F1M051_F1M051_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q2VPU4_MLXIP_MOUSE_10090 and tr_A0A3Q0D7I5_A0A3Q0D7I5_MESAU_10036 are exactly identical!
WARNING: Sequences sp_Q99MZ3_MLXPL_MOUSE_10090 and tr_G3HA10_G3HA10_CRIGR_10029 are exactly identical!
WARNING: Sequences sp_Q99MZ3_MLXPL_MOUSE_10090 and sp_Q8VIP2_MLXPL_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q99MZ3_MLXPL_MOUSE_10090 and tr_A0A1U7QJT0_A0A1U7QJT0_MESAU_10036 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_E2R5Q3_E2R5Q3_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_W5PQZ3_W5PQZ3_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_F1RNT5_F1RNT5_PIG_9823 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_G1M7R6_G1M7R6_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_E1BIZ7_E1BIZ7_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_M3WGC6_M3WGC6_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_A0A1U7TW80_A0A1U7TW80_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_A0A2Y9Q7I3_A0A2Y9Q7I3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_A0A384BX79_A0A384BX79_URSMA_29073 are exactly identical!
WARNING: Sequences tr_M3XSF1_M3XSF1_MUSPF_9669 and tr_A0A384AQT6_A0A384AQT6_BALAS_310752 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_E2RIC0_E2RIC0_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_G1LJ05_G1LJ05_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_A0A337SNT3_A0A337SNT3_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_A0A2U3WNF3_A0A2U3WNF3_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_A0A2Y9JVH3_A0A2Y9JVH3_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YFV4_M3YFV4_MUSPF_9669 and tr_A0A384CXF3_A0A384CXF3_URSMA_29073 are exactly identical!
WARNING: Sequences tr_Q9VID4_Q9VID4_DROME_7227 and tr_Q29KM3_Q29KM3_DROPS_46245 are exactly identical!
WARNING: Sequences tr_Q9VID4_Q9VID4_DROME_7227 and tr_B4GT45_B4GT45_DROPE_7234 are exactly identical!
WARNING: Sequences tr_Q9VID4_Q9VID4_DROME_7227 and tr_A0A1W4UY91_A0A1W4UY91_DROFC_30025 are exactly identical!
WARNING: Sequences tr_A0A3B3HNX0_A0A3B3HNX0_ORYLA_8090 and tr_I3IYA8_I3IYA8_ORENI_8128 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_G3S9H3_G3S9H3_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_H2NIY9_H2NIY9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_H2Q738_H2Q738_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and sp_Q9HAP2_MLXIP_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_F7E7V8_F7E7V8_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_G7PJ77_G7PJ77_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_A0A096N563_A0A096N563_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_A0A2K5L097_A0A2K5L097_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_A0A2K6DIK5_A0A2K6DIK5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1QL64_G1QL64_NOMLE_61853 and tr_A0A2K5XQP9_A0A2K5XQP9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1P545_G1P545_MYOLU_59463 and tr_L5K8P2_L5K8P2_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_W5NWD6_W5NWD6_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_F1S1D8_F1S1D8_PIG_9823 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_F1MD86_F1MD86_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_L5JPZ2_L5JPZ2_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A3Q0DKU6_A0A3Q0DKU6_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A2U4BNS7_A0A2U4BNS7_TURTR_9739 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A2Y9LUT7_A0A2Y9LUT7_DELLE_9749 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A2Y9EGD5_A0A2Y9EGD5_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A383ZRL2_A0A383ZRL2_BALAS_310752 are exactly identical!
WARNING: Sequences tr_G1PV56_G1PV56_MYOLU_59463 and tr_A0A383ZSE0_A0A383ZSE0_BALAS_310752 are exactly identical!
WARNING: Sequences tr_G1PWE4_G1PWE4_MYOLU_59463 and tr_H0WT99_H0WT99_OTOGA_30611 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_H2QUP8_H2QUP8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and sp_Q9NP71_MLXPL_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A1D5QSW1_A0A1D5QSW1_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_F6W681_F6W681_CALJA_9483 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A2I3M8A9_A0A2I3M8A9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A0D9S002_A0A0D9S002_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A2K5LJ99_A0A2K5LJ99_CERAT_9531 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A2K6BPI4_A0A2K6BPI4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A2K5ZLR7_A0A2K5ZLR7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H2PLY2_H2PLY2_PONAB_9601 and tr_A0A2R9BLF5_A0A2R9BLF5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1MZF8_G1MZF8_MELGA_9103 and tr_A0A226N9G6_A0A226N9G6_CALSU_9009 are exactly identical!
WARNING: Sequences tr_G1MZF8_G1MZF8_MELGA_9103 and tr_A0A226PXR8_A0A226PXR8_COLVI_9014 are exactly identical!
WARNING: Sequences tr_B8MZ97_B8MZ97_ASPFN_332952 and tr_A0A0F0I8C0_A0A0F0I8C0_ASPPU_1403190 are exactly identical!
WARNING: Sequences tr_B8MZ97_B8MZ97_ASPFN_332952 and tr_A0A0L1IS65_A0A0L1IS65_ASPNO_1509407 are exactly identical!
WARNING: Sequences tr_B8MZ97_B8MZ97_ASPFN_332952 and tr_A0A1F8A4V3_A0A1F8A4V3_9EURO_109264 are exactly identical!
WARNING: Sequences tr_B8MZ97_B8MZ97_ASPFN_332952 and tr_A0A1S9DUV8_A0A1S9DUV8_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_B8MZ97_B8MZ97_ASPFN_332952 and tr_A0A2G7GAJ0_A0A2G7GAJ0_9EURO_656916 are exactly identical!
WARNING: Sequences tr_E2RAQ3_E2RAQ3_CANLF_9615 and tr_G1LXR2_G1LXR2_AILME_9646 are exactly identical!
WARNING: Sequences tr_E2RAQ3_E2RAQ3_CANLF_9615 and tr_M3W2S2_M3W2S2_FELCA_9685 are exactly identical!
WARNING: Sequences tr_E2RAQ3_E2RAQ3_CANLF_9615 and tr_A0A2Y9JCW8_A0A2Y9JCW8_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A3B5PUB9_A0A3B5PUB9_XIPMA_8083 and tr_A0A087Y8A5_A0A087Y8A5_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A3B5PUB9_A0A3B5PUB9_XIPMA_8083 and tr_A0A087Y8U2_A0A087Y8U2_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A088ATS3_A0A088ATS3_APIME_7460 and tr_A0A0M9AAS6_A0A0M9AAS6_9HYME_166423 are exactly identical!
WARNING: Sequences tr_A0A088ATS3_A0A088ATS3_APIME_7460 and tr_A0A0L7QLQ2_A0A0L7QLQ2_9HYME_597456 are exactly identical!
WARNING: Sequences tr_A0A088ATS3_A0A088ATS3_APIME_7460 and tr_A0A154P210_A0A154P210_9HYME_178035 are exactly identical!
WARNING: Sequences tr_A0A088ATS3_A0A088ATS3_APIME_7460 and tr_A0A2A3E795_A0A2A3E795_APICC_94128 are exactly identical!
WARNING: Sequences tr_A0A088AVS1_A0A088AVS1_APIME_7460 and tr_A0A0M8ZS15_A0A0M8ZS15_9HYME_166423 are exactly identical!
WARNING: Sequences tr_A0A088AVS1_A0A088AVS1_APIME_7460 and tr_A0A2A3EPL1_A0A2A3EPL1_APICC_94128 are exactly identical!
WARNING: Sequences tr_A0A158NCG4_A0A158NCG4_ATTCE_12957 and tr_F4WX08_F4WX08_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NCG4_A0A158NCG4_ATTCE_12957 and tr_A0A195EDB9_A0A195EDB9_9HYME_471704 are exactly identical!
WARNING: Sequences tr_A0A158NCG4_A0A158NCG4_ATTCE_12957 and tr_A0A195BYB1_A0A195BYB1_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NCG4_A0A158NCG4_ATTCE_12957 and tr_A0A195FAF7_A0A195FAF7_9HYME_34720 are exactly identical!
WARNING: Sequences tr_H0V048_H0V048_CAVPO_10141 and tr_G5AWQ2_G5AWQ2_HETGA_10181 are exactly identical!
WARNING: Sequences tr_H0V048_H0V048_CAVPO_10141 and tr_A0A091D053_A0A091D053_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_A2QB55_A2QB55_ASPNC_425011 and tr_G3XS05_G3XS05_ASPNA_380704 are exactly identical!
WARNING: Sequences tr_A2QB55_A2QB55_ASPNC_425011 and tr_A0A319AIZ0_A0A319AIZ0_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_G3TH02_G3TH02_LOXAF_9785 and tr_A0A2Y9RTH4_A0A2Y9RTH4_TRIMA_127582 are exactly identical!
WARNING: Sequences tr_H0YWV7_H0YWV7_TAEGU_59729 and tr_A0A218UM59_A0A218UM59_9PASE_299123 are exactly identical!
WARNING: Sequences tr_G2XSV6_G2XSV6_BOTF4_999810 and tr_M7TVM5_M7TVM5_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_F7ADE6_F7ADE6_CALJA_9483 and tr_A0A2U3ZBE2_A0A2U3ZBE2_ODORO_9708 are exactly identical!
WARNING: Sequences tr_F7ADE6_F7ADE6_CALJA_9483 and tr_A0A2U3YFD4_A0A2U3YFD4_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_B4M9U1_B4M9U1_DROVI_7244 and tr_B4KF05_B4KF05_DROMO_7230 are exactly identical!
WARNING: Sequences tr_E1BLS1_E1BLS1_BOVIN_9913 and tr_A0A2Y9ECS4_A0A2Y9ECS4_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_E1BLS1_E1BLS1_BOVIN_9913 and tr_A0A384AH97_A0A384AH97_BALAS_310752 are exactly identical!
WARNING: Sequences tr_S2JP58_S2JP58_MUCC1_1220926 and tr_A0A0C9LYD0_A0A0C9LYD0_9FUNG_91626 are exactly identical!
WARNING: Sequences tr_S2KAS8_S2KAS8_MUCC1_1220926 and tr_A0A0C9MV28_A0A0C9MV28_9FUNG_91626 are exactly identical!
WARNING: Sequences tr_S2KAS8_S2KAS8_MUCC1_1220926 and tr_A0A162QKU2_A0A162QKU2_MUCCL_747725 are exactly identical!
WARNING: Sequences tr_W5L9N6_W5L9N6_ASTMX_7994 and tr_A0A2D0QA42_A0A2D0QA42_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_W5L9N6_W5L9N6_ASTMX_7994 and tr_A0A2D0QB96_A0A2D0QB96_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A0A1MHJ6_A0A0A1MHJ6_9FUNG_58291 and tr_A0A367IWY9_A0A367IWY9_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A151MU92_A0A151MU92_ALLMI_8496 and tr_A0A3Q0HN58_A0A3Q0HN58_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151NSA4_A0A151NSA4_ALLMI_8496 and tr_A0A1U7R8F5_A0A1U7R8F5_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151PBE4_A0A151PBE4_ALLMI_8496 and tr_A0A1U7RJ63_A0A1U7RJ63_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091UN61_A0A091UN61_NIPNI_128390 and tr_A0A091GNZ6_A0A091GNZ6_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A2I0LK24_A0A2I0LK24_COLLI_8932 and tr_A0A1V4JQQ3_A0A1V4JQQ3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A2I0LMX2_A0A2I0LMX2_COLLI_8932 and tr_A0A1V4KY91_A0A1V4KY91_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A2I0M892_A0A2I0M892_COLLI_8932 and tr_A0A1V4JS54_A0A1V4JS54_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V0X1V8_A0A0V0X1V8_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V1LS15_A0A0V1LS15_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V1A9A3_A0A0V1A9A3_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V1MX96_A0A0V1MX96_9BILA_268474 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V1PK52_A0A0V1PK52_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1DG74_A0A0V1DG74_TRIBR_45882 and tr_A0A0V1I0Z1_A0A0V1I0Z1_9BILA_268475 are exactly identical!
WARNING: Sequences tr_A0A0V0VGM2_A0A0V0VGM2_9BILA_181606 and tr_A0A0V0U7U7_A0A0V0U7U7_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A151WMZ0_A0A151WMZ0_9HYME_64791 and tr_A0A151IBZ3_A0A151IBZ3_9HYME_456900 are exactly identical!
WARNING: Sequences tr_A0A168QDW2_A0A168QDW2_ABSGL_4829 and tr_A0A1X2HZ32_A0A1X2HZ32_9FUNG_90262 are exactly identical!
WARNING: Sequences tr_A0A1S3HK45_A0A1S3HK45_LINUN_7574 and tr_A0A1S3HQ10_A0A1S3HQ10_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3NN02_A0A1S3NN02_SALSA_8030 and tr_A0A060XCH4_A0A060XCH4_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3R9N3_A0A1S3R9N3_SALSA_8030 and tr_A0A060Y074_A0A060Y074_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3R9N3_A0A1S3R9N3_SALSA_8030 and tr_A0A060Y512_A0A060Y512_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1L8F1W0_A0A1L8F1W0_XENLA_8355 and tr_A0A1L8FPU3_A0A1L8FPU3_XENLA_8355 are exactly identical!
WARNING: Sequences tr_A0A226MJ15_A0A226MJ15_CALSU_9009 and tr_A0A226NVZ4_A0A226NVZ4_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A226MLD5_A0A226MLD5_CALSU_9009 and tr_A0A226NSH9_A0A226NSH9_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0PNY4_A0A2D0PNY4_ICTPU_7998 and tr_A0A2D0PQL5_A0A2D0PQL5_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0PNY4_A0A2D0PNY4_ICTPU_7998 and tr_A0A2D0PRM1_A0A2D0PRM1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2S7Q2J7_A0A2S7Q2J7_9HELO_2070414 and tr_A0A2S7QN90_A0A2S7QN90_9HELO_2070412 are exactly identical!
WARNING: Sequences tr_A0A2G4SP71_A0A2G4SP71_9FUNG_1340429 and tr_A0A367JY86_A0A367JY86_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A2G4T8L6_A0A2G4T8L6_9FUNG_1340429 and tr_A0A367K948_A0A367K948_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A2U3VUY3_A0A2U3VUY3_ODORO_9708 and tr_A0A2U3YJN1_A0A2U3YJN1_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2V5IYI3_A0A2V5IYI3_9EURO_1450541 and tr_A0A2V5IV35_A0A2V5IV35_9EURO_1450538 are exactly identical!
WARNING: Duplicate sequences found: 156

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.raxml.reduced.phy

Alignment comprises 1 partitions and 68 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 68 / 68
Gaps: 5.01 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.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 485 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 68 / 5440
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -51775.991919] Initial branch length optimization
[00:00:01 -41613.276494] Model parameter optimization (eps = 10.000000)
[00:00:10 -41594.354729] AUTODETECT spr round 1 (radius: 5)
[00:00:32 -27732.901858] AUTODETECT spr round 2 (radius: 10)
[00:00:56 -19882.205321] AUTODETECT spr round 3 (radius: 15)
[00:01:27 -14471.917169] AUTODETECT spr round 4 (radius: 20)
[00:01:59 -13814.944776] AUTODETECT spr round 5 (radius: 25)
[00:02:36 -13768.466372] SPR radius for FAST iterations: 25 (autodetect)
[00:02:36 -13768.466372] Model parameter optimization (eps = 3.000000)
[00:02:43 -13691.247669] FAST spr round 1 (radius: 25)
[00:03:09 -12063.175806] FAST spr round 2 (radius: 25)
[00:03:30 -11979.982550] FAST spr round 3 (radius: 25)
[00:03:50 -11973.484176] FAST spr round 4 (radius: 25)
[00:04:09 -11971.670924] FAST spr round 5 (radius: 25)
[00:04:28 -11968.388702] FAST spr round 6 (radius: 25)
[00:04:46 -11968.193702] FAST spr round 7 (radius: 25)
[00:05:04 -11966.921746] FAST spr round 8 (radius: 25)
[00:05:23 -11961.105477] FAST spr round 9 (radius: 25)
[00:05:40 -11960.686076] FAST spr round 10 (radius: 25)
[00:05:58 -11960.685752] Model parameter optimization (eps = 1.000000)
[00:06:05 -11957.965297] SLOW spr round 1 (radius: 5)
[00:06:28 -11956.669887] SLOW spr round 2 (radius: 5)
[00:06:50 -11956.663685] SLOW spr round 3 (radius: 10)
[00:07:13 -11956.274217] SLOW spr round 4 (radius: 5)
[00:07:42 -11956.123903] SLOW spr round 5 (radius: 5)
[00:08:08 -11956.121615] SLOW spr round 6 (radius: 10)
[00:08:32 -11956.121229] SLOW spr round 7 (radius: 15)
[00:09:06 -11955.156532] SLOW spr round 8 (radius: 5)
[00:09:37 -11955.148919] SLOW spr round 9 (radius: 10)
[00:10:03 -11955.148047] SLOW spr round 10 (radius: 15)
[00:10:36 -11954.851455] SLOW spr round 11 (radius: 5)
[00:11:07 -11954.496426] SLOW spr round 12 (radius: 5)
[00:11:34 -11954.494724] SLOW spr round 13 (radius: 10)
[00:11:59 -11954.494594] SLOW spr round 14 (radius: 15)
[00:12:32 -11954.494584] SLOW spr round 15 (radius: 20)
[00:13:18 -11952.052447] SLOW spr round 16 (radius: 5)
[00:13:49 -11952.049955] SLOW spr round 17 (radius: 10)
[00:14:18 -11952.048107] SLOW spr round 18 (radius: 15)
[00:14:51 -11950.644946] SLOW spr round 19 (radius: 5)
[00:15:21 -11950.644782] SLOW spr round 20 (radius: 10)
[00:15:49 -11948.891019] SLOW spr round 21 (radius: 5)
[00:16:17 -11948.890555] SLOW spr round 22 (radius: 10)
[00:16:43 -11948.890425] SLOW spr round 23 (radius: 15)
[00:17:16 -11948.890348] SLOW spr round 24 (radius: 20)
[00:18:01 -11948.890290] SLOW spr round 25 (radius: 25)
[00:18:51 -11948.567927] SLOW spr round 26 (radius: 5)
[00:19:24 -11948.558478] SLOW spr round 27 (radius: 10)
[00:19:52 -11948.557478] SLOW spr round 28 (radius: 15)
[00:20:25 -11948.557346] SLOW spr round 29 (radius: 20)
[00:21:09 -11948.557306] SLOW spr round 30 (radius: 25)
[00:21:59 -11948.557290] Model parameter optimization (eps = 0.100000)

[00:22:02] ML tree search #1, logLikelihood: -11948.478799

[00:22:02 -50792.289580] Initial branch length optimization
[00:22:02 -41102.635385] Model parameter optimization (eps = 10.000000)
[00:22:14 -40821.480357] AUTODETECT spr round 1 (radius: 5)
[00:22:36 -27902.984007] AUTODETECT spr round 2 (radius: 10)
[00:23:01 -19747.353559] AUTODETECT spr round 3 (radius: 15)
[00:23:29 -15998.778429] AUTODETECT spr round 4 (radius: 20)
[00:24:01 -14646.770813] AUTODETECT spr round 5 (radius: 25)
[00:24:33 -14605.294029] SPR radius for FAST iterations: 25 (autodetect)
[00:24:33 -14605.294029] Model parameter optimization (eps = 3.000000)
[00:24:43 -14517.034939] FAST spr round 1 (radius: 25)
[00:25:08 -12501.911076] FAST spr round 2 (radius: 25)
[00:25:32 -11994.410564] FAST spr round 3 (radius: 25)
[00:25:54 -11959.228758] FAST spr round 4 (radius: 25)
[00:26:13 -11954.347204] FAST spr round 5 (radius: 25)
[00:26:31 -11954.346228] Model parameter optimization (eps = 1.000000)
[00:26:37 -11947.766851] SLOW spr round 1 (radius: 5)
[00:27:01 -11946.701328] SLOW spr round 2 (radius: 5)
[00:27:24 -11945.398802] SLOW spr round 3 (radius: 5)
[00:27:47 -11944.426606] SLOW spr round 4 (radius: 5)
[00:28:09 -11944.234544] SLOW spr round 5 (radius: 5)
[00:28:31 -11944.234275] SLOW spr round 6 (radius: 10)
[00:28:54 -11944.234260] SLOW spr round 7 (radius: 15)
[00:29:30 -11944.234257] SLOW spr round 8 (radius: 20)
[00:30:14 -11944.187480] SLOW spr round 9 (radius: 25)
[00:31:06 -11943.638149] SLOW spr round 10 (radius: 5)
[00:31:38 -11943.622986] SLOW spr round 11 (radius: 10)
[00:32:06 -11943.622914] SLOW spr round 12 (radius: 15)
[00:32:40 -11943.622912] SLOW spr round 13 (radius: 20)
[00:33:24 -11943.622912] SLOW spr round 14 (radius: 25)
[00:34:15 -11943.622912] Model parameter optimization (eps = 0.100000)

[00:34:17] ML tree search #2, logLikelihood: -11943.604736

[00:34:18 -51872.714983] Initial branch length optimization
[00:34:18 -41522.448830] Model parameter optimization (eps = 10.000000)
[00:34:27 -41383.510248] AUTODETECT spr round 1 (radius: 5)
[00:34:49 -26880.635811] AUTODETECT spr round 2 (radius: 10)
[00:35:16 -19479.104760] AUTODETECT spr round 3 (radius: 15)
[00:35:46 -16637.481587] AUTODETECT spr round 4 (radius: 20)
[00:36:21 -15014.057164] AUTODETECT spr round 5 (radius: 25)
[00:37:00 -14319.185471] SPR radius for FAST iterations: 25 (autodetect)
[00:37:00 -14319.185471] Model parameter optimization (eps = 3.000000)
[00:37:09 -14249.246513] FAST spr round 1 (radius: 25)
[00:37:33 -12365.186869] FAST spr round 2 (radius: 25)
[00:37:54 -12204.308273] FAST spr round 3 (radius: 25)
[00:38:15 -11995.587491] FAST spr round 4 (radius: 25)
[00:38:36 -11953.376134] FAST spr round 5 (radius: 25)
[00:38:54 -11950.638596] FAST spr round 6 (radius: 25)
[00:39:12 -11950.627623] Model parameter optimization (eps = 1.000000)
[00:39:15 -11949.974041] SLOW spr round 1 (radius: 5)
[00:39:39 -11948.087403] SLOW spr round 2 (radius: 5)
[00:40:02 -11947.806891] SLOW spr round 3 (radius: 5)
[00:40:26 -11947.804854] SLOW spr round 4 (radius: 10)
[00:40:50 -11947.804520] SLOW spr round 5 (radius: 15)
[00:41:24 -11946.286534] SLOW spr round 6 (radius: 5)
[00:41:55 -11946.285810] SLOW spr round 7 (radius: 10)
[00:42:22 -11946.285720] SLOW spr round 8 (radius: 15)
[00:42:55 -11946.285679] SLOW spr round 9 (radius: 20)
[00:43:37 -11945.609853] SLOW spr round 10 (radius: 5)
[00:44:09 -11945.585314] SLOW spr round 11 (radius: 10)
[00:44:36 -11945.584884] SLOW spr round 12 (radius: 15)
[00:45:09 -11945.584703] SLOW spr round 13 (radius: 20)
[00:45:50 -11945.584622] SLOW spr round 14 (radius: 25)
[00:46:39 -11945.173555] SLOW spr round 15 (radius: 5)
[00:47:11 -11945.173277] SLOW spr round 16 (radius: 10)
[00:47:39 -11945.173254] SLOW spr round 17 (radius: 15)
[00:48:12 -11944.710829] SLOW spr round 18 (radius: 5)
[00:48:43 -11944.708677] SLOW spr round 19 (radius: 10)
[00:49:10 -11944.708315] SLOW spr round 20 (radius: 15)
[00:49:43 -11944.708254] SLOW spr round 21 (radius: 20)
[00:50:24 -11944.708244] SLOW spr round 22 (radius: 25)
[00:51:13 -11944.708241] Model parameter optimization (eps = 0.100000)

[00:51:15] ML tree search #3, logLikelihood: -11944.661399

[00:51:15 -50983.645311] Initial branch length optimization
[00:51:16 -41026.883979] Model parameter optimization (eps = 10.000000)
[00:51:27 -40838.391941] AUTODETECT spr round 1 (radius: 5)
[00:51:50 -27956.058676] AUTODETECT spr round 2 (radius: 10)
[00:52:15 -20193.570693] AUTODETECT spr round 3 (radius: 15)
[00:52:46 -15742.836833] AUTODETECT spr round 4 (radius: 20)
[00:53:22 -14791.086665] AUTODETECT spr round 5 (radius: 25)
[00:53:58 -14632.523504] SPR radius for FAST iterations: 25 (autodetect)
[00:53:58 -14632.523504] Model parameter optimization (eps = 3.000000)
[00:54:07 -14523.049410] FAST spr round 1 (radius: 25)
[00:54:34 -12456.075077] FAST spr round 2 (radius: 25)
[00:54:57 -11997.670887] FAST spr round 3 (radius: 25)
[00:55:18 -11952.477813] FAST spr round 4 (radius: 25)
[00:55:37 -11952.013460] FAST spr round 5 (radius: 25)
[00:55:55 -11951.260331] FAST spr round 6 (radius: 25)
[00:56:13 -11951.257883] Model parameter optimization (eps = 1.000000)
[00:56:21 -11949.435175] SLOW spr round 1 (radius: 5)
[00:56:45 -11945.978589] SLOW spr round 2 (radius: 5)
[00:57:07 -11945.967216] SLOW spr round 3 (radius: 10)
[00:57:31 -11945.966325] SLOW spr round 4 (radius: 15)
[00:58:08 -11945.965872] SLOW spr round 5 (radius: 20)
[00:58:55 -11945.965643] SLOW spr round 6 (radius: 25)
[00:59:46 -11944.739225] SLOW spr round 7 (radius: 5)
[01:00:19 -11944.737488] SLOW spr round 8 (radius: 10)
[01:00:49 -11943.450752] SLOW spr round 9 (radius: 5)
[01:01:19 -11943.104008] SLOW spr round 10 (radius: 5)
[01:01:45 -11943.102743] SLOW spr round 11 (radius: 10)
[01:02:10 -11943.102498] SLOW spr round 12 (radius: 15)
[01:02:47 -11943.102375] SLOW spr round 13 (radius: 20)
[01:03:33 -11943.102308] SLOW spr round 14 (radius: 25)
[01:04:24 -11942.425599] SLOW spr round 15 (radius: 5)
[01:04:57 -11942.363778] SLOW spr round 16 (radius: 10)
[01:05:26 -11942.363360] SLOW spr round 17 (radius: 15)
[01:06:01 -11942.363274] SLOW spr round 18 (radius: 20)
[01:06:48 -11942.363236] SLOW spr round 19 (radius: 25)
[01:07:40 -11942.363209] Model parameter optimization (eps = 0.100000)

[01:07:44] ML tree search #4, logLikelihood: -11941.820677

[01:07:44 -51822.994743] Initial branch length optimization
[01:07:45 -41633.918337] Model parameter optimization (eps = 10.000000)
[01:07:54 -41611.393745] AUTODETECT spr round 1 (radius: 5)
[01:08:16 -28115.026178] AUTODETECT spr round 2 (radius: 10)
[01:08:41 -19551.295804] AUTODETECT spr round 3 (radius: 15)
[01:09:10 -16271.873532] AUTODETECT spr round 4 (radius: 20)
[01:09:45 -14648.715578] AUTODETECT spr round 5 (radius: 25)
[01:10:23 -14239.941445] SPR radius for FAST iterations: 25 (autodetect)
[01:10:23 -14239.941445] Model parameter optimization (eps = 3.000000)
[01:10:33 -14164.638137] FAST spr round 1 (radius: 25)
[01:10:58 -12176.857491] FAST spr round 2 (radius: 25)
[01:11:21 -11987.876787] FAST spr round 3 (radius: 25)
[01:11:41 -11954.835508] FAST spr round 4 (radius: 25)
[01:12:00 -11952.227439] FAST spr round 5 (radius: 25)
[01:12:19 -11950.726393] FAST spr round 6 (radius: 25)
[01:12:37 -11950.725928] Model parameter optimization (eps = 1.000000)
[01:12:44 -11948.445015] SLOW spr round 1 (radius: 5)
[01:13:07 -11946.664596] SLOW spr round 2 (radius: 5)
[01:13:31 -11946.662110] SLOW spr round 3 (radius: 10)
[01:13:55 -11946.521934] SLOW spr round 4 (radius: 5)
[01:14:25 -11946.473351] SLOW spr round 5 (radius: 10)
[01:14:52 -11946.472957] SLOW spr round 6 (radius: 15)
[01:15:25 -11946.472940] SLOW spr round 7 (radius: 20)
[01:16:10 -11941.944138] SLOW spr round 8 (radius: 5)
[01:16:43 -11941.124072] SLOW spr round 9 (radius: 5)
[01:17:12 -11939.355980] SLOW spr round 10 (radius: 5)
[01:17:37 -11937.757534] SLOW spr round 11 (radius: 5)
[01:18:01 -11937.330243] SLOW spr round 12 (radius: 5)
[01:18:24 -11937.329010] SLOW spr round 13 (radius: 10)
[01:18:47 -11937.328749] SLOW spr round 14 (radius: 15)
[01:19:21 -11936.967380] SLOW spr round 15 (radius: 5)
[01:19:52 -11936.966009] SLOW spr round 16 (radius: 10)
[01:20:19 -11936.965062] SLOW spr round 17 (radius: 15)
[01:20:52 -11936.964391] SLOW spr round 18 (radius: 20)
[01:21:37 -11936.963907] SLOW spr round 19 (radius: 25)
[01:22:27 -11936.963566] Model parameter optimization (eps = 0.100000)

[01:22:29] ML tree search #5, logLikelihood: -11936.912015

[01:22:29 -51251.224357] Initial branch length optimization
[01:22:30 -41496.749209] Model parameter optimization (eps = 10.000000)
[01:22:39 -41458.006513] AUTODETECT spr round 1 (radius: 5)
[01:23:01 -27754.278577] AUTODETECT spr round 2 (radius: 10)
[01:23:26 -19255.189996] AUTODETECT spr round 3 (radius: 15)
[01:23:54 -17149.560826] AUTODETECT spr round 4 (radius: 20)
[01:24:28 -15660.958559] AUTODETECT spr round 5 (radius: 25)
[01:25:07 -14520.342217] SPR radius for FAST iterations: 25 (autodetect)
[01:25:07 -14520.342217] Model parameter optimization (eps = 3.000000)
[01:25:16 -14476.223572] FAST spr round 1 (radius: 25)
[01:25:43 -12293.014813] FAST spr round 2 (radius: 25)
[01:26:04 -11994.894486] FAST spr round 3 (radius: 25)
[01:26:25 -11959.672516] FAST spr round 4 (radius: 25)
[01:26:45 -11949.067526] FAST spr round 5 (radius: 25)
[01:27:03 -11949.067156] Model parameter optimization (eps = 1.000000)
[01:27:08 -11947.218406] SLOW spr round 1 (radius: 5)
[01:27:33 -11943.756257] SLOW spr round 2 (radius: 5)
[01:27:56 -11943.753582] SLOW spr round 3 (radius: 10)
[01:28:20 -11943.753502] SLOW spr round 4 (radius: 15)
[01:28:54 -11942.924754] SLOW spr round 5 (radius: 5)
[01:29:25 -11942.561538] SLOW spr round 6 (radius: 5)
[01:29:52 -11942.561533] SLOW spr round 7 (radius: 10)
[01:30:17 -11942.561533] SLOW spr round 8 (radius: 15)
[01:30:50 -11942.561533] SLOW spr round 9 (radius: 20)
[01:31:32 -11942.145721] SLOW spr round 10 (radius: 5)
[01:32:04 -11942.145719] SLOW spr round 11 (radius: 10)
[01:32:33 -11942.145718] SLOW spr round 12 (radius: 15)
[01:33:06 -11942.145718] SLOW spr round 13 (radius: 20)
[01:33:48 -11941.548980] SLOW spr round 14 (radius: 5)
[01:34:20 -11941.318650] SLOW spr round 15 (radius: 5)
[01:34:48 -11941.318632] SLOW spr round 16 (radius: 10)
[01:35:14 -11940.862334] SLOW spr round 17 (radius: 5)
[01:35:43 -11940.861333] SLOW spr round 18 (radius: 10)
[01:36:09 -11940.860637] SLOW spr round 19 (radius: 15)
[01:36:42 -11940.860151] SLOW spr round 20 (radius: 20)
[01:37:26 -11940.859810] SLOW spr round 21 (radius: 25)
[01:38:15 -11940.859565] Model parameter optimization (eps = 0.100000)

[01:38:18] ML tree search #6, logLikelihood: -11940.851665

[01:38:18 -51311.976803] Initial branch length optimization
[01:38:19 -41290.492025] Model parameter optimization (eps = 10.000000)
[01:38:29 -41204.849674] AUTODETECT spr round 1 (radius: 5)
[01:38:51 -26582.602838] AUTODETECT spr round 2 (radius: 10)
[01:39:16 -20225.602915] AUTODETECT spr round 3 (radius: 15)
[01:39:45 -16676.737523] AUTODETECT spr round 4 (radius: 20)
[01:40:18 -15335.072776] AUTODETECT spr round 5 (radius: 25)
[01:40:56 -14891.268871] SPR radius for FAST iterations: 25 (autodetect)
[01:40:56 -14891.268871] Model parameter optimization (eps = 3.000000)
[01:41:03 -14829.949660] FAST spr round 1 (radius: 25)
[01:41:30 -12453.276848] FAST spr round 2 (radius: 25)
[01:41:51 -12334.023227] FAST spr round 3 (radius: 25)
[01:42:12 -12207.405795] FAST spr round 4 (radius: 25)
[01:42:32 -12024.168273] FAST spr round 5 (radius: 25)
[01:42:52 -11958.230895] FAST spr round 6 (radius: 25)
[01:43:11 -11952.481124] FAST spr round 7 (radius: 25)
[01:43:29 -11952.480922] Model parameter optimization (eps = 1.000000)
[01:43:35 -11946.620102] SLOW spr round 1 (radius: 5)
[01:43:59 -11942.565841] SLOW spr round 2 (radius: 5)
[01:44:23 -11940.511307] SLOW spr round 3 (radius: 5)
[01:44:46 -11940.510778] SLOW spr round 4 (radius: 10)
[01:45:09 -11940.510676] SLOW spr round 5 (radius: 15)
[01:45:44 -11940.092819] SLOW spr round 6 (radius: 5)
[01:46:15 -11940.092793] SLOW spr round 7 (radius: 10)
[01:46:42 -11940.092779] SLOW spr round 8 (radius: 15)
[01:47:15 -11938.774982] SLOW spr round 9 (radius: 5)
[01:47:46 -11938.773240] SLOW spr round 10 (radius: 10)
[01:48:13 -11938.772083] SLOW spr round 11 (radius: 15)
[01:48:46 -11938.771306] SLOW spr round 12 (radius: 20)
[01:49:29 -11938.441549] SLOW spr round 13 (radius: 5)
[01:50:01 -11938.071654] SLOW spr round 14 (radius: 5)
[01:50:28 -11938.071571] SLOW spr round 15 (radius: 10)
[01:50:54 -11938.071515] SLOW spr round 16 (radius: 15)
[01:51:28 -11938.071476] SLOW spr round 17 (radius: 20)
[01:52:10 -11938.071449] SLOW spr round 18 (radius: 25)
[01:52:56 -11938.071430] Model parameter optimization (eps = 0.100000)

[01:52:58] ML tree search #7, logLikelihood: -11938.008791

[01:52:58 -51232.527300] Initial branch length optimization
[01:52:59 -41014.347493] Model parameter optimization (eps = 10.000000)
[01:53:08 -40945.784140] AUTODETECT spr round 1 (radius: 5)
[01:53:30 -26581.894645] AUTODETECT spr round 2 (radius: 10)
[01:53:56 -18949.637391] AUTODETECT spr round 3 (radius: 15)
[01:54:25 -15743.965083] AUTODETECT spr round 4 (radius: 20)
[01:54:58 -14682.626185] AUTODETECT spr round 5 (radius: 25)
[01:55:37 -14252.849785] SPR radius for FAST iterations: 25 (autodetect)
[01:55:37 -14252.849785] Model parameter optimization (eps = 3.000000)
[01:55:47 -14198.859031] FAST spr round 1 (radius: 25)
[01:56:11 -12266.019748] FAST spr round 2 (radius: 25)
[01:56:34 -11976.825367] FAST spr round 3 (radius: 25)
[01:56:55 -11958.336578] FAST spr round 4 (radius: 25)
[01:57:14 -11955.335227] FAST spr round 5 (radius: 25)
[01:57:32 -11955.334852] Model parameter optimization (eps = 1.000000)
[01:57:38 -11949.983463] SLOW spr round 1 (radius: 5)
[01:58:02 -11944.242225] SLOW spr round 2 (radius: 5)
[01:58:26 -11943.514000] SLOW spr round 3 (radius: 5)
[01:58:50 -11943.512915] SLOW spr round 4 (radius: 10)
[01:59:13 -11943.512863] SLOW spr round 5 (radius: 15)
[01:59:47 -11942.421936] SLOW spr round 6 (radius: 5)
[02:00:19 -11942.237111] SLOW spr round 7 (radius: 5)
[02:00:46 -11942.236612] SLOW spr round 8 (radius: 10)
[02:01:11 -11942.236238] SLOW spr round 9 (radius: 15)
[02:01:44 -11941.620494] SLOW spr round 10 (radius: 5)
[02:02:15 -11941.616744] SLOW spr round 11 (radius: 10)
[02:02:42 -11941.614256] SLOW spr round 12 (radius: 15)
[02:03:15 -11941.612583] SLOW spr round 13 (radius: 20)
[02:03:56 -11941.611445] SLOW spr round 14 (radius: 25)
[02:04:43 -11939.377611] SLOW spr round 15 (radius: 5)
[02:05:17 -11938.362181] SLOW spr round 16 (radius: 5)
[02:05:45 -11938.361702] SLOW spr round 17 (radius: 10)
[02:06:11 -11937.991369] SLOW spr round 18 (radius: 5)
[02:06:40 -11937.991343] SLOW spr round 19 (radius: 10)
[02:07:05 -11937.991329] SLOW spr round 20 (radius: 15)
[02:07:38 -11937.991318] SLOW spr round 21 (radius: 20)
[02:08:19 -11937.991311] SLOW spr round 22 (radius: 25)
[02:09:06 -11937.991305] Model parameter optimization (eps = 0.100000)

[02:09:10] ML tree search #8, logLikelihood: -11937.785866

[02:09:10 -51275.626914] Initial branch length optimization
[02:09:11 -41182.180889] Model parameter optimization (eps = 10.000000)
[02:09:20 -41143.056878] AUTODETECT spr round 1 (radius: 5)
[02:09:42 -28272.958456] AUTODETECT spr round 2 (radius: 10)
[02:10:08 -20486.072349] AUTODETECT spr round 3 (radius: 15)
[02:10:36 -17221.953619] AUTODETECT spr round 4 (radius: 20)
[02:11:08 -15444.491730] AUTODETECT spr round 5 (radius: 25)
[02:11:43 -15329.987856] SPR radius for FAST iterations: 25 (autodetect)
[02:11:43 -15329.987856] Model parameter optimization (eps = 3.000000)
[02:11:55 -15258.832974] FAST spr round 1 (radius: 25)
[02:12:22 -12564.465976] FAST spr round 2 (radius: 25)
[02:12:45 -12044.060971] FAST spr round 3 (radius: 25)
[02:13:07 -11960.227385] FAST spr round 4 (radius: 25)
[02:13:27 -11952.390570] FAST spr round 5 (radius: 25)
[02:13:46 -11951.787707] FAST spr round 6 (radius: 25)
[02:14:04 -11951.766405] Model parameter optimization (eps = 1.000000)
[02:14:09 -11948.520195] SLOW spr round 1 (radius: 5)
[02:14:34 -11945.280654] SLOW spr round 2 (radius: 5)
[02:14:57 -11945.278896] SLOW spr round 3 (radius: 10)
[02:15:21 -11945.278826] SLOW spr round 4 (radius: 15)
[02:15:55 -11944.454631] SLOW spr round 5 (radius: 5)
[02:16:26 -11944.454433] SLOW spr round 6 (radius: 10)
[02:16:53 -11944.454427] SLOW spr round 7 (radius: 15)
[02:17:26 -11944.454427] SLOW spr round 8 (radius: 20)
[02:18:08 -11940.992685] SLOW spr round 9 (radius: 5)
[02:18:41 -11940.989981] SLOW spr round 10 (radius: 10)
[02:19:09 -11940.988964] SLOW spr round 11 (radius: 15)
[02:19:41 -11937.959833] SLOW spr round 12 (radius: 5)
[02:20:12 -11937.958785] SLOW spr round 13 (radius: 10)
[02:20:40 -11937.958291] SLOW spr round 14 (radius: 15)
[02:21:12 -11937.957918] SLOW spr round 15 (radius: 20)
[02:21:56 -11937.758163] SLOW spr round 16 (radius: 5)
[02:22:28 -11937.393467] SLOW spr round 17 (radius: 5)
[02:22:55 -11937.393438] SLOW spr round 18 (radius: 10)
[02:23:21 -11936.953144] SLOW spr round 19 (radius: 5)
[02:23:51 -11936.951981] SLOW spr round 20 (radius: 10)
[02:24:17 -11936.951188] SLOW spr round 21 (radius: 15)
[02:24:50 -11936.950644] SLOW spr round 22 (radius: 20)
[02:25:33 -11936.950269] SLOW spr round 23 (radius: 25)
[02:26:20 -11936.950009] Model parameter optimization (eps = 0.100000)

[02:26:22] ML tree search #9, logLikelihood: -11936.930121

[02:26:22 -51812.000069] Initial branch length optimization
[02:26:23 -41493.445339] Model parameter optimization (eps = 10.000000)
[02:26:35 -41458.096839] AUTODETECT spr round 1 (radius: 5)
[02:26:57 -27104.645188] AUTODETECT spr round 2 (radius: 10)
[02:27:23 -20023.864301] AUTODETECT spr round 3 (radius: 15)
[02:27:50 -17305.545252] AUTODETECT spr round 4 (radius: 20)
[02:28:22 -16008.100292] AUTODETECT spr round 5 (radius: 25)
[02:28:57 -15733.286245] SPR radius for FAST iterations: 25 (autodetect)
[02:28:57 -15733.286245] Model parameter optimization (eps = 3.000000)
[02:29:06 -15656.184888] FAST spr round 1 (radius: 25)
[02:29:33 -12640.390587] FAST spr round 2 (radius: 25)
[02:29:57 -12047.473504] FAST spr round 3 (radius: 25)
[02:30:18 -11963.093094] FAST spr round 4 (radius: 25)
[02:30:39 -11955.248347] FAST spr round 5 (radius: 25)
[02:30:57 -11954.433540] FAST spr round 6 (radius: 25)
[02:31:15 -11954.433366] Model parameter optimization (eps = 1.000000)
[02:31:21 -11950.551894] SLOW spr round 1 (radius: 5)
[02:31:45 -11948.567928] SLOW spr round 2 (radius: 5)
[02:32:08 -11948.566750] SLOW spr round 3 (radius: 10)
[02:32:32 -11947.019786] SLOW spr round 4 (radius: 5)
[02:33:02 -11946.547477] SLOW spr round 5 (radius: 5)
[02:33:28 -11946.546699] SLOW spr round 6 (radius: 10)
[02:33:53 -11946.546599] SLOW spr round 7 (radius: 15)
[02:34:28 -11945.902842] SLOW spr round 8 (radius: 5)
[02:34:59 -11945.900854] SLOW spr round 9 (radius: 10)
[02:35:27 -11945.899592] SLOW spr round 10 (radius: 15)
[02:36:01 -11945.898784] SLOW spr round 11 (radius: 20)
[02:36:47 -11945.898265] SLOW spr round 12 (radius: 25)
[02:37:40 -11944.117991] SLOW spr round 13 (radius: 5)
[02:38:12 -11944.117573] SLOW spr round 14 (radius: 10)
[02:38:41 -11943.757245] SLOW spr round 15 (radius: 5)
[02:39:10 -11943.757215] SLOW spr round 16 (radius: 10)
[02:39:36 -11943.757196] SLOW spr round 17 (radius: 15)
[02:40:10 -11943.757184] SLOW spr round 18 (radius: 20)
[02:40:56 -11943.757175] SLOW spr round 19 (radius: 25)
[02:41:48 -11942.711151] SLOW spr round 20 (radius: 5)
[02:42:21 -11942.700516] SLOW spr round 21 (radius: 10)
[02:42:50 -11942.698005] SLOW spr round 22 (radius: 15)
[02:43:24 -11942.697404] SLOW spr round 23 (radius: 20)
[02:44:10 -11941.685989] SLOW spr round 24 (radius: 5)
[02:44:42 -11941.685986] SLOW spr round 25 (radius: 10)
[02:45:11 -11941.685986] SLOW spr round 26 (radius: 15)
[02:45:45 -11941.685986] SLOW spr round 27 (radius: 20)
[02:46:31 -11941.685985] SLOW spr round 28 (radius: 25)
[02:47:24 -11941.685985] Model parameter optimization (eps = 0.100000)

[02:47:28] ML tree search #10, logLikelihood: -11941.574251

[02:47:28 -51986.082898] Initial branch length optimization
[02:47:28 -41580.459512] Model parameter optimization (eps = 10.000000)
[02:47:40 -41461.351183] AUTODETECT spr round 1 (radius: 5)
[02:48:02 -26747.352523] AUTODETECT spr round 2 (radius: 10)
[02:48:27 -20667.622027] AUTODETECT spr round 3 (radius: 15)
[02:48:55 -18688.713386] AUTODETECT spr round 4 (radius: 20)
[02:49:30 -15326.822150] AUTODETECT spr round 5 (radius: 25)
[02:50:05 -15180.543385] SPR radius for FAST iterations: 25 (autodetect)
[02:50:05 -15180.543385] Model parameter optimization (eps = 3.000000)
[02:50:14 -15084.572115] FAST spr round 1 (radius: 25)
[02:50:38 -12529.756943] FAST spr round 2 (radius: 25)
[02:50:59 -12032.553483] FAST spr round 3 (radius: 25)
[02:51:20 -11969.157418] FAST spr round 4 (radius: 25)
[02:51:40 -11955.891830] FAST spr round 5 (radius: 25)
[02:51:59 -11953.875935] FAST spr round 6 (radius: 25)
[02:52:18 -11953.874579] Model parameter optimization (eps = 1.000000)
[02:52:23 -11952.248509] SLOW spr round 1 (radius: 5)
[02:52:47 -11945.986368] SLOW spr round 2 (radius: 5)
[02:53:10 -11945.985007] SLOW spr round 3 (radius: 10)
[02:53:34 -11945.984704] SLOW spr round 4 (radius: 15)
[02:54:09 -11943.463850] SLOW spr round 5 (radius: 5)
[02:54:40 -11942.677958] SLOW spr round 6 (radius: 5)
[02:55:07 -11942.677938] SLOW spr round 7 (radius: 10)
[02:55:33 -11942.677925] SLOW spr round 8 (radius: 15)
[02:56:06 -11942.677917] SLOW spr round 9 (radius: 20)
[02:56:50 -11942.603282] SLOW spr round 10 (radius: 25)
[02:57:41 -11942.602695] Model parameter optimization (eps = 0.100000)

[02:57:43] ML tree search #11, logLikelihood: -11942.572844

[02:57:43 -51173.677998] Initial branch length optimization
[02:57:44 -41094.114572] Model parameter optimization (eps = 10.000000)
[02:57:55 -41046.848438] AUTODETECT spr round 1 (radius: 5)
[02:58:17 -27431.907221] AUTODETECT spr round 2 (radius: 10)
[02:58:43 -20595.802538] AUTODETECT spr round 3 (radius: 15)
[02:59:12 -17125.335693] AUTODETECT spr round 4 (radius: 20)
[02:59:43 -14587.498248] AUTODETECT spr round 5 (radius: 25)
[03:00:19 -14136.837162] SPR radius for FAST iterations: 25 (autodetect)
[03:00:19 -14136.837162] Model parameter optimization (eps = 3.000000)
[03:00:27 -14112.421199] FAST spr round 1 (radius: 25)
[03:00:51 -12195.569273] FAST spr round 2 (radius: 25)
[03:01:13 -12036.257829] FAST spr round 3 (radius: 25)
[03:01:33 -12029.242255] FAST spr round 4 (radius: 25)
[03:01:52 -12028.978180] FAST spr round 5 (radius: 25)
[03:02:10 -12028.978116] Model parameter optimization (eps = 1.000000)
[03:02:15 -12027.397414] SLOW spr round 1 (radius: 5)
[03:02:39 -12024.765117] SLOW spr round 2 (radius: 5)
[03:03:02 -12024.764486] SLOW spr round 3 (radius: 10)
[03:03:26 -12024.764393] SLOW spr round 4 (radius: 15)
[03:04:01 -12024.764347] SLOW spr round 5 (radius: 20)
[03:04:45 -12023.692468] SLOW spr round 6 (radius: 5)
[03:05:19 -12021.642563] SLOW spr round 7 (radius: 5)
[03:05:47 -12021.637710] SLOW spr round 8 (radius: 10)
[03:06:13 -12021.637535] SLOW spr round 9 (radius: 15)
[03:06:47 -12021.637455] SLOW spr round 10 (radius: 20)
[03:07:31 -12020.819369] SLOW spr round 11 (radius: 5)
[03:08:03 -12020.818409] SLOW spr round 12 (radius: 10)
[03:08:31 -12020.818347] SLOW spr round 13 (radius: 15)
[03:09:04 -12020.818342] SLOW spr round 14 (radius: 20)
[03:09:48 -12020.818341] SLOW spr round 15 (radius: 25)
[03:10:39 -12020.818335] Model parameter optimization (eps = 0.100000)

[03:10:41] ML tree search #12, logLikelihood: -12020.806825

[03:10:41 -51665.748115] Initial branch length optimization
[03:10:42 -41648.418060] Model parameter optimization (eps = 10.000000)
[03:10:54 -41593.079552] AUTODETECT spr round 1 (radius: 5)
[03:11:16 -27776.726686] AUTODETECT spr round 2 (radius: 10)
[03:11:42 -20462.742534] AUTODETECT spr round 3 (radius: 15)
[03:12:12 -17050.077701] AUTODETECT spr round 4 (radius: 20)
[03:12:45 -14731.402415] AUTODETECT spr round 5 (radius: 25)
[03:13:22 -14491.473460] SPR radius for FAST iterations: 25 (autodetect)
[03:13:22 -14491.473460] Model parameter optimization (eps = 3.000000)
[03:13:30 -14431.916499] FAST spr round 1 (radius: 25)
[03:13:55 -12112.244616] FAST spr round 2 (radius: 25)
[03:14:17 -11969.819855] FAST spr round 3 (radius: 25)
[03:14:37 -11964.672729] FAST spr round 4 (radius: 25)
[03:14:55 -11964.670973] Model parameter optimization (eps = 1.000000)
[03:15:01 -11959.593704] SLOW spr round 1 (radius: 5)
[03:15:25 -11954.990167] SLOW spr round 2 (radius: 5)
[03:15:49 -11954.280531] SLOW spr round 3 (radius: 5)
[03:16:12 -11953.460893] SLOW spr round 4 (radius: 5)
[03:16:34 -11953.460342] SLOW spr round 5 (radius: 10)
[03:16:58 -11953.460323] SLOW spr round 6 (radius: 15)
[03:17:33 -11952.533164] SLOW spr round 7 (radius: 5)
[03:18:04 -11952.173009] SLOW spr round 8 (radius: 5)
[03:18:31 -11952.173006] SLOW spr round 9 (radius: 10)
[03:18:56 -11952.173006] SLOW spr round 10 (radius: 15)
[03:19:30 -11952.173006] SLOW spr round 11 (radius: 20)
[03:20:12 -11952.173006] SLOW spr round 12 (radius: 25)
[03:21:00 -11950.239605] SLOW spr round 13 (radius: 5)
[03:21:34 -11949.760358] SLOW spr round 14 (radius: 5)
[03:22:02 -11949.758267] SLOW spr round 15 (radius: 10)
[03:22:28 -11949.757944] SLOW spr round 16 (radius: 15)
[03:23:02 -11949.757901] SLOW spr round 17 (radius: 20)
[03:23:45 -11949.757896] SLOW spr round 18 (radius: 25)
[03:24:32 -11949.757895] Model parameter optimization (eps = 0.100000)

[03:24:34] ML tree search #13, logLikelihood: -11949.753557

[03:24:34 -51640.830155] Initial branch length optimization
[03:24:35 -41729.770384] Model parameter optimization (eps = 10.000000)
[03:24:43 -41661.384396] AUTODETECT spr round 1 (radius: 5)
[03:25:05 -27354.928570] AUTODETECT spr round 2 (radius: 10)
[03:25:31 -19674.449345] AUTODETECT spr round 3 (radius: 15)
[03:26:01 -15387.115776] AUTODETECT spr round 4 (radius: 20)
[03:26:38 -14281.974113] AUTODETECT spr round 5 (radius: 25)
[03:27:19 -14200.288099] SPR radius for FAST iterations: 25 (autodetect)
[03:27:19 -14200.288099] Model parameter optimization (eps = 3.000000)
[03:27:29 -14104.353002] FAST spr round 1 (radius: 25)
[03:27:56 -12097.431625] FAST spr round 2 (radius: 25)
[03:28:18 -11971.792505] FAST spr round 3 (radius: 25)
[03:28:39 -11950.686796] FAST spr round 4 (radius: 25)
[03:28:58 -11947.144520] FAST spr round 5 (radius: 25)
[03:29:16 -11947.143784] Model parameter optimization (eps = 1.000000)
[03:29:19 -11946.170973] SLOW spr round 1 (radius: 5)
[03:29:43 -11944.586669] SLOW spr round 2 (radius: 5)
[03:30:06 -11944.492539] SLOW spr round 3 (radius: 10)
[03:30:30 -11943.839981] SLOW spr round 4 (radius: 5)
[03:30:59 -11943.835270] SLOW spr round 5 (radius: 10)
[03:31:25 -11943.833508] SLOW spr round 6 (radius: 15)
[03:31:58 -11943.332872] SLOW spr round 7 (radius: 5)
[03:32:29 -11942.968024] SLOW spr round 8 (radius: 5)
[03:32:55 -11942.967855] SLOW spr round 9 (radius: 10)
[03:33:20 -11942.967745] SLOW spr round 10 (radius: 15)
[03:33:54 -11942.967670] SLOW spr round 11 (radius: 20)
[03:34:37 -11941.723686] SLOW spr round 12 (radius: 5)
[03:35:08 -11941.722925] SLOW spr round 13 (radius: 10)
[03:35:37 -11940.438620] SLOW spr round 14 (radius: 5)
[03:36:06 -11939.996199] SLOW spr round 15 (radius: 5)
[03:36:31 -11939.995351] SLOW spr round 16 (radius: 10)
[03:36:55 -11939.995313] SLOW spr round 17 (radius: 15)
[03:37:30 -11939.995303] SLOW spr round 18 (radius: 20)
[03:38:14 -11939.995298] SLOW spr round 19 (radius: 25)
[03:39:04 -11939.995295] Model parameter optimization (eps = 0.100000)

[03:39:09] ML tree search #14, logLikelihood: -11939.917597

[03:39:09 -51766.024980] Initial branch length optimization
[03:39:10 -41497.726373] Model parameter optimization (eps = 10.000000)
[03:39:22 -41428.636594] AUTODETECT spr round 1 (radius: 5)
[03:39:44 -27052.209790] AUTODETECT spr round 2 (radius: 10)
[03:40:09 -19332.015887] AUTODETECT spr round 3 (radius: 15)
[03:40:38 -16265.349901] AUTODETECT spr round 4 (radius: 20)
[03:41:11 -14543.572018] AUTODETECT spr round 5 (radius: 25)
[03:41:47 -14249.071422] SPR radius for FAST iterations: 25 (autodetect)
[03:41:47 -14249.071422] Model parameter optimization (eps = 3.000000)
[03:41:55 -14183.723218] FAST spr round 1 (radius: 25)
[03:42:21 -12484.555259] FAST spr round 2 (radius: 25)
[03:42:44 -12300.903606] FAST spr round 3 (radius: 25)
[03:43:05 -12281.817761] FAST spr round 4 (radius: 25)
[03:43:24 -12279.612442] FAST spr round 5 (radius: 25)
[03:43:43 -12278.238121] FAST spr round 6 (radius: 25)
[03:44:01 -12278.238096] Model parameter optimization (eps = 1.000000)
[03:44:07 -12274.426350] SLOW spr round 1 (radius: 5)
[03:44:31 -12271.189514] SLOW spr round 2 (radius: 5)
[03:44:54 -12271.188928] SLOW spr round 3 (radius: 10)
[03:45:17 -12270.665310] SLOW spr round 4 (radius: 5)
[03:45:48 -12269.607055] SLOW spr round 5 (radius: 5)
[03:46:14 -12269.605410] SLOW spr round 6 (radius: 10)
[03:46:38 -12269.605042] SLOW spr round 7 (radius: 15)
[03:47:11 -12269.604938] SLOW spr round 8 (radius: 20)
[03:47:52 -12269.604911] SLOW spr round 9 (radius: 25)
[03:48:38 -12269.277933] SLOW spr round 10 (radius: 5)
[03:49:10 -12269.277903] SLOW spr round 11 (radius: 10)
[03:49:38 -12269.277902] SLOW spr round 12 (radius: 15)
[03:50:10 -12269.277902] SLOW spr round 13 (radius: 20)
[03:50:52 -12269.277900] SLOW spr round 14 (radius: 25)
[03:51:39 -12269.200460] Model parameter optimization (eps = 0.100000)

[03:51:41] ML tree search #15, logLikelihood: -12269.118369

[03:51:41 -51713.553944] Initial branch length optimization
[03:51:42 -41625.804649] Model parameter optimization (eps = 10.000000)
[03:51:54 -41583.913333] AUTODETECT spr round 1 (radius: 5)
[03:52:16 -27048.668613] AUTODETECT spr round 2 (radius: 10)
[03:52:40 -20890.860738] AUTODETECT spr round 3 (radius: 15)
[03:53:10 -16511.024657] AUTODETECT spr round 4 (radius: 20)
[03:53:46 -14851.401671] AUTODETECT spr round 5 (radius: 25)
[03:54:22 -14584.732547] SPR radius for FAST iterations: 25 (autodetect)
[03:54:22 -14584.732547] Model parameter optimization (eps = 3.000000)
[03:54:35 -14505.558745] FAST spr round 1 (radius: 25)
[03:54:59 -12216.254013] FAST spr round 2 (radius: 25)
[03:55:21 -11982.622865] FAST spr round 3 (radius: 25)
[03:55:42 -11953.377727] FAST spr round 4 (radius: 25)
[03:56:01 -11946.182625] FAST spr round 5 (radius: 25)
[03:56:20 -11943.151937] FAST spr round 6 (radius: 25)
[03:56:38 -11943.151933] Model parameter optimization (eps = 1.000000)
[03:56:40 -11942.291166] SLOW spr round 1 (radius: 5)
[03:57:05 -11940.002263] SLOW spr round 2 (radius: 5)
[03:57:27 -11940.001401] SLOW spr round 3 (radius: 10)
[03:57:51 -11939.476813] SLOW spr round 4 (radius: 5)
[03:58:21 -11939.476791] SLOW spr round 5 (radius: 10)
[03:58:47 -11939.476774] SLOW spr round 6 (radius: 15)
[03:59:19 -11939.052424] SLOW spr round 7 (radius: 5)
[03:59:50 -11939.052412] SLOW spr round 8 (radius: 10)
[04:00:17 -11939.052403] SLOW spr round 9 (radius: 15)
[04:00:49 -11939.052396] SLOW spr round 10 (radius: 20)
[04:01:30 -11938.208293] SLOW spr round 11 (radius: 5)
[04:02:02 -11937.782421] SLOW spr round 12 (radius: 5)
[04:02:30 -11937.779897] SLOW spr round 13 (radius: 10)
[04:02:55 -11937.778185] SLOW spr round 14 (radius: 15)
[04:03:27 -11937.777002] SLOW spr round 15 (radius: 20)
[04:04:09 -11937.776179] SLOW spr round 16 (radius: 25)
[04:04:56 -11937.775603] Model parameter optimization (eps = 0.100000)

[04:04:58] ML tree search #16, logLikelihood: -11937.756642

[04:04:58 -51456.896158] Initial branch length optimization
[04:04:59 -41090.251795] Model parameter optimization (eps = 10.000000)
[04:05:09 -41004.431194] AUTODETECT spr round 1 (radius: 5)
[04:05:31 -26577.140037] AUTODETECT spr round 2 (radius: 10)
[04:05:56 -19169.309733] AUTODETECT spr round 3 (radius: 15)
[04:06:24 -15379.981873] AUTODETECT spr round 4 (radius: 20)
[04:06:56 -14530.533019] AUTODETECT spr round 5 (radius: 25)
[04:07:38 -13891.091935] SPR radius for FAST iterations: 25 (autodetect)
[04:07:38 -13891.091935] Model parameter optimization (eps = 3.000000)
[04:07:45 -13828.892341] FAST spr round 1 (radius: 25)
[04:08:08 -12152.978018] FAST spr round 2 (radius: 25)
[04:08:29 -12040.156056] FAST spr round 3 (radius: 25)
[04:08:49 -12028.462872] FAST spr round 4 (radius: 25)
[04:09:09 -12022.476352] FAST spr round 5 (radius: 25)
[04:09:27 -12022.473397] Model parameter optimization (eps = 1.000000)
[04:09:33 -12021.284539] SLOW spr round 1 (radius: 5)
[04:09:57 -12017.801496] SLOW spr round 2 (radius: 5)
[04:10:21 -12014.134591] SLOW spr round 3 (radius: 5)
[04:10:45 -12014.134426] SLOW spr round 4 (radius: 10)
[04:11:08 -12014.019510] SLOW spr round 5 (radius: 5)
[04:11:39 -12013.033661] SLOW spr round 6 (radius: 5)
[04:12:06 -12013.033238] SLOW spr round 7 (radius: 10)
[04:12:31 -12013.033218] SLOW spr round 8 (radius: 15)
[04:13:03 -12012.586225] SLOW spr round 9 (radius: 5)
[04:13:35 -12012.586214] SLOW spr round 10 (radius: 10)
[04:14:02 -12012.586214] SLOW spr round 11 (radius: 15)
[04:14:34 -12012.586214] SLOW spr round 12 (radius: 20)
[04:15:13 -12011.760342] SLOW spr round 13 (radius: 5)
[04:15:45 -12011.760013] SLOW spr round 14 (radius: 10)
[04:16:14 -12011.388047] SLOW spr round 15 (radius: 5)
[04:16:43 -12011.374052] SLOW spr round 16 (radius: 10)
[04:17:09 -12011.371961] SLOW spr round 17 (radius: 15)
[04:17:41 -12011.370426] SLOW spr round 18 (radius: 20)
[04:18:20 -12011.370384] SLOW spr round 19 (radius: 25)
[04:19:00 -12011.037557] SLOW spr round 20 (radius: 5)
[04:19:33 -12011.037277] SLOW spr round 21 (radius: 10)
[04:20:01 -12011.037264] SLOW spr round 22 (radius: 15)
[04:20:33 -12011.037262] SLOW spr round 23 (radius: 20)
[04:21:11 -12011.037262] SLOW spr round 24 (radius: 25)
[04:21:51 -12011.037262] Model parameter optimization (eps = 0.100000)

[04:21:53] ML tree search #17, logLikelihood: -12011.002090

[04:21:53 -51922.559045] Initial branch length optimization
[04:21:54 -41583.903551] Model parameter optimization (eps = 10.000000)
[04:22:04 -41553.783179] AUTODETECT spr round 1 (radius: 5)
[04:22:27 -28135.672047] AUTODETECT spr round 2 (radius: 10)
[04:22:52 -21155.853019] AUTODETECT spr round 3 (radius: 15)
[04:23:21 -16991.391327] AUTODETECT spr round 4 (radius: 20)
[04:23:53 -15619.421250] AUTODETECT spr round 5 (radius: 25)
[04:24:29 -14369.211967] SPR radius for FAST iterations: 25 (autodetect)
[04:24:29 -14369.211967] Model parameter optimization (eps = 3.000000)
[04:24:39 -14266.521700] FAST spr round 1 (radius: 25)
[04:25:04 -12086.649675] FAST spr round 2 (radius: 25)
[04:25:26 -11953.972017] FAST spr round 3 (radius: 25)
[04:25:46 -11942.990578] FAST spr round 4 (radius: 25)
[04:26:05 -11942.990078] Model parameter optimization (eps = 1.000000)
[04:26:08 -11942.042074] SLOW spr round 1 (radius: 5)
[04:26:33 -11937.388442] SLOW spr round 2 (radius: 5)
[04:26:57 -11936.746241] SLOW spr round 3 (radius: 5)
[04:27:20 -11936.745772] SLOW spr round 4 (radius: 10)
[04:27:43 -11936.745719] SLOW spr round 5 (radius: 15)
[04:28:17 -11936.745713] SLOW spr round 6 (radius: 20)
[04:29:00 -11936.745710] SLOW spr round 7 (radius: 25)
[04:29:48 -11935.632876] SLOW spr round 8 (radius: 5)
[04:30:21 -11935.632662] SLOW spr round 9 (radius: 10)
[04:30:49 -11935.632656] SLOW spr round 10 (radius: 15)
[04:31:22 -11934.914253] SLOW spr round 11 (radius: 5)
[04:31:53 -11934.913459] SLOW spr round 12 (radius: 10)
[04:32:20 -11934.913430] SLOW spr round 13 (radius: 15)
[04:32:52 -11934.913429] SLOW spr round 14 (radius: 20)
[04:33:35 -11934.913429] SLOW spr round 15 (radius: 25)
[04:34:23 -11934.913429] Model parameter optimization (eps = 0.100000)

[04:34:27] ML tree search #18, logLikelihood: -11934.744408

[04:34:27 -50784.820076] Initial branch length optimization
[04:34:28 -41097.471429] Model parameter optimization (eps = 10.000000)
[04:34:38 -41029.698095] AUTODETECT spr round 1 (radius: 5)
[04:35:01 -25861.376374] AUTODETECT spr round 2 (radius: 10)
[04:35:25 -19943.209777] AUTODETECT spr round 3 (radius: 15)
[04:35:52 -16695.052496] AUTODETECT spr round 4 (radius: 20)
[04:36:24 -15038.154888] AUTODETECT spr round 5 (radius: 25)
[04:36:59 -14649.103278] SPR radius for FAST iterations: 25 (autodetect)
[04:36:59 -14649.103278] Model parameter optimization (eps = 3.000000)
[04:37:09 -14576.242849] FAST spr round 1 (radius: 25)
[04:37:35 -12288.936588] FAST spr round 2 (radius: 25)
[04:37:57 -12052.334339] FAST spr round 3 (radius: 25)
[04:38:17 -12042.977875] FAST spr round 4 (radius: 25)
[04:38:36 -12040.572704] FAST spr round 5 (radius: 25)
[04:38:54 -12040.571729] Model parameter optimization (eps = 1.000000)
[04:38:59 -12038.855327] SLOW spr round 1 (radius: 5)
[04:39:23 -12035.526428] SLOW spr round 2 (radius: 5)
[04:39:46 -12035.434832] SLOW spr round 3 (radius: 10)
[04:40:10 -12034.907254] SLOW spr round 4 (radius: 5)
[04:40:41 -12033.380135] SLOW spr round 5 (radius: 5)
[04:41:07 -12033.379933] SLOW spr round 6 (radius: 10)
[04:41:32 -12033.379929] SLOW spr round 7 (radius: 15)
[04:42:05 -12032.693401] SLOW spr round 8 (radius: 5)
[04:42:36 -12032.693401] SLOW spr round 9 (radius: 10)
[04:43:03 -12032.693401] SLOW spr round 10 (radius: 15)
[04:43:35 -12032.693401] SLOW spr round 11 (radius: 20)
[04:44:13 -12032.595142] SLOW spr round 12 (radius: 25)
[04:45:02 -11952.643300] SLOW spr round 13 (radius: 5)
[04:45:35 -11947.795691] SLOW spr round 14 (radius: 5)
[04:46:03 -11947.789489] SLOW spr round 15 (radius: 10)
[04:46:29 -11945.557791] SLOW spr round 16 (radius: 5)
[04:47:00 -11943.131768] SLOW spr round 17 (radius: 5)
[04:47:26 -11943.129302] SLOW spr round 18 (radius: 10)
[04:47:51 -11943.129084] SLOW spr round 19 (radius: 15)
[04:48:25 -11943.129064] SLOW spr round 20 (radius: 20)
[04:49:07 -11940.188602] SLOW spr round 21 (radius: 5)
[04:49:39 -11940.037567] SLOW spr round 22 (radius: 5)
[04:50:07 -11940.023186] SLOW spr round 23 (radius: 10)
[04:50:32 -11940.022910] SLOW spr round 24 (radius: 15)
[04:51:05 -11939.658873] SLOW spr round 25 (radius: 5)
[04:51:36 -11939.658479] SLOW spr round 26 (radius: 10)
[04:52:04 -11939.658219] SLOW spr round 27 (radius: 15)
[04:52:37 -11939.658044] SLOW spr round 28 (radius: 20)
[04:53:18 -11939.657926] SLOW spr round 29 (radius: 25)
[04:54:05 -11939.657827] Model parameter optimization (eps = 0.100000)

[04:54:07] ML tree search #19, logLikelihood: -11939.558289

[04:54:07 -51240.663714] Initial branch length optimization
[04:54:08 -41259.322685] Model parameter optimization (eps = 10.000000)
[04:54:21 -41185.496661] AUTODETECT spr round 1 (radius: 5)
[04:54:43 -27082.244713] AUTODETECT spr round 2 (radius: 10)
[04:55:08 -19538.679841] AUTODETECT spr round 3 (radius: 15)
[04:55:37 -17004.366739] AUTODETECT spr round 4 (radius: 20)
[04:56:11 -15267.205432] AUTODETECT spr round 5 (radius: 25)
[04:56:49 -14721.786434] SPR radius for FAST iterations: 25 (autodetect)
[04:56:49 -14721.786434] Model parameter optimization (eps = 3.000000)
[04:57:04 -14654.011399] FAST spr round 1 (radius: 25)
[04:57:30 -12662.293770] FAST spr round 2 (radius: 25)
[04:57:52 -12104.314271] FAST spr round 3 (radius: 25)
[04:58:15 -12050.274971] FAST spr round 4 (radius: 25)
[04:58:35 -12038.544346] FAST spr round 5 (radius: 25)
[04:58:54 -12037.332935] FAST spr round 6 (radius: 25)
[04:59:12 -12037.331364] Model parameter optimization (eps = 1.000000)
[04:59:19 -12030.760910] SLOW spr round 1 (radius: 5)
[04:59:43 -12027.815084] SLOW spr round 2 (radius: 5)
[05:00:06 -12025.007858] SLOW spr round 3 (radius: 5)
[05:00:30 -12022.519540] SLOW spr round 4 (radius: 5)
[05:00:53 -12021.614514] SLOW spr round 5 (radius: 5)
[05:01:15 -12021.405007] SLOW spr round 6 (radius: 5)
[05:01:37 -12021.404348] SLOW spr round 7 (radius: 10)
[05:02:01 -12020.921154] SLOW spr round 8 (radius: 5)
[05:02:31 -12019.761813] SLOW spr round 9 (radius: 5)
[05:02:57 -12019.758810] SLOW spr round 10 (radius: 10)
[05:03:22 -12018.570154] SLOW spr round 11 (radius: 5)
[05:03:51 -12018.570066] SLOW spr round 12 (radius: 10)
[05:04:17 -12018.570064] SLOW spr round 13 (radius: 15)
[05:04:50 -12017.887509] SLOW spr round 14 (radius: 5)
[05:05:20 -12017.886577] SLOW spr round 15 (radius: 10)
[05:05:48 -12017.886522] SLOW spr round 16 (radius: 15)
[05:06:20 -12017.886517] SLOW spr round 17 (radius: 20)
[05:07:01 -12016.884186] SLOW spr round 18 (radius: 5)
[05:07:32 -12016.493730] SLOW spr round 19 (radius: 5)
[05:07:59 -12016.493730] SLOW spr round 20 (radius: 10)
[05:08:24 -12016.493730] SLOW spr round 21 (radius: 15)
[05:08:57 -12016.493730] SLOW spr round 22 (radius: 20)
[05:09:37 -12016.493730] SLOW spr round 23 (radius: 25)
[05:10:25 -12016.493730] Model parameter optimization (eps = 0.100000)

[05:10:28] ML tree search #20, logLikelihood: -12016.309402


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.250412,0.458931) (0.190966,0.513725) (0.384348,1.072270) (0.174275,2.150908) 
   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: -11934.744408

AIC score: 25815.488815 / AICc score: 1921219.488815 / BIC score: 27975.069812
Free parameters (model + branch lengths): 973

WARNING: Number of free parameters (K=973) is larger than alignment size (n=68).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9HAP2/3_mltree/Q9HAP2.raxml.log

Analysis started: 18-Jul-2021 11:01:18 / finished: 18-Jul-2021 16:11:47

Elapsed time: 18628.437 seconds