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 01-Jul-2021 20:25:30 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/2_msa/P51451_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/3_mltree/P51451 --seed 2 --threads 7 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/2_msa/P51451_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 492 sites

WARNING: Sequences tr_B4QCQ4_B4QCQ4_DROSI_7240 and sp_Q9V9J3_SRC42_DROME_7227 are exactly identical!
WARNING: Sequences tr_B4QCQ4_B4QCQ4_DROSI_7240 and tr_B4II23_B4II23_DROSE_7238 are exactly identical!
WARNING: Sequences tr_B4QR05_B4QR05_DROSI_7240 and sp_P00528_SRC64_DROME_7227 are exactly identical!
WARNING: Sequences tr_B4QR05_B4QR05_DROSI_7240 and tr_B4HU86_B4HU86_DROSE_7238 are exactly identical!
WARNING: Sequences tr_B4QR05_B4QR05_DROSI_7240 and tr_A0A1W4VAL7_A0A1W4VAL7_DROFC_30025 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_H0ZP43_H0ZP43_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_U3K8R9_U3K8R9_FICAL_59894 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_U3J5M4_U3J5M4_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A091F166_A0A091F166_CORBR_85066 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A093QF57_A0A093QF57_9PASS_328815 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A091UXD3_A0A091UXD3_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A087RKZ0_A0A087RKZ0_APTFO_9233 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A093K3W6_A0A093K3W6_STRCA_441894 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A091XK84_A0A091XK84_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A099ZAA8_A0A099ZAA8_TINGU_94827 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A0A0B2T4_A0A0A0B2T4_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A2I0MUC4_A0A2I0MUC4_COLLI_8932 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A091I3Y6_A0A091I3Y6_CALAN_9244 are exactly identical!
WARNING: Sequences tr_F1NQU9_F1NQU9_CHICK_9031 and tr_A0A1V4JMB1_A0A1V4JMB1_PATFA_372326 are exactly identical!
WARNING: Sequences sp_P09324_YES_CHICK_9031 and tr_G1NBR9_G1NBR9_MELGA_9103 are exactly identical!
WARNING: Sequences tr_G9K914_G9K914_MUSPF_9669 and tr_A0A2Y9KDK4_A0A2Y9KDK4_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YFP0_M3YFP0_MUSPF_9669 and tr_A0A2U3WDX9_A0A2U3WDX9_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YFP0_M3YFP0_MUSPF_9669 and tr_A0A2Y9L364_A0A2Y9L364_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YUZ1_M3YUZ1_MUSPF_9669 and tr_A0A2Y9IUQ0_A0A2Y9IUQ0_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_E2RSH8_E2RSH8_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_G1M0W5_G1M0W5_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_A0A337RYE7_A0A337RYE7_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_A0A2U3XQI2_A0A2U3XQI2_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_A0A2Y9IRF1_A0A2Y9IRF1_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3Z238_M3Z238_MUSPF_9669 and tr_A0A384CND9_A0A384CND9_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_G3QYF5_G3QYF5_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_G1TA73_G1TA73_RABIT_9986 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A2I3SKP4_A0A2I3SKP4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and sp_P06241_FYN_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_G7P3M8_G7P3M8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A096NW74_A0A096NW74_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A0D9RST7_A0A0D9RST7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A2K5MDU1_A0A2K5MDU1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A2K6B9D1_A0A2K6B9D1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A2K5YJ25_A0A2K5YJ25_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3HC72_A0A2I3HC72_NOMLE_61853 and tr_A0A2R9B759_A0A2R9B759_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_E2RC09_E2RC09_CANLF_9615 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_W5PJ18_W5PJ18_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_I3M9M0_I3M9M0_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A286XJ68_A0A286XJ68_CAVPO_10141 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_G5AUN8_G5AUN8_HETGA_10181 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_F7IB43_F7IB43_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and sp_A1Y2K1_FYN_PIG_9823 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_D2H640_D2H640_AILME_9646 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and sp_A0JNB0_FYN_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_M3X148_M3X148_FELCA_9685 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A2U4AW31_A0A2U4AW31_TURTR_9739 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A2Y9QVV7_A0A2Y9QVV7_TRIMA_127582 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A2Y9LLH3_A0A2Y9LLH3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A2Y9S5U4_A0A2Y9S5U4_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A384DBM2_A0A384DBM2_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G1P913_G1P913_MYOLU_59463 and tr_A0A384ATR0_A0A384ATR0_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2I2YAR4_A0A2I2YAR4_GORGO_9595 and tr_A0A2R9AFQ6_A0A2R9AFQ6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3R9U2_G3R9U2_GORGO_9595 and tr_H2R453_H2R453_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R9U2_G3R9U2_GORGO_9595 and sp_P07948_LYN_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3S8M9_G3S8M9_GORGO_9595 and tr_A0A2I3TMT4_A0A2I3TMT4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_A0A2I3SIH9_A0A2I3SIH9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and sp_P12931_SRC_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_F7FWN9_F7FWN9_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_F7IJA5_F7IJA5_CALJA_9483 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_A0A2I3M0W2_A0A2I3M0W2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_A0A0D9RML6_A0A0D9RML6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_H2P1V4_H2P1V4_PONAB_9601 and tr_A0A2K6B4I3_A0A2K6B4I3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1NL23_G1NL23_MELGA_9103 and tr_A0A218UXN4_A0A218UXN4_9PASE_299123 are exactly identical!
WARNING: Sequences tr_G3UTK7_G3UTK7_MELGA_9103 and tr_A0A226NBZ5_A0A226NBZ5_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A0R3P952_A0A0R3P952_DROPS_46245 and tr_B4H1S6_B4H1S6_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2PYF9_H2PYF9_PANTR_9598 and tr_A0A2R9A4Q1_A0A2R9A4Q1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2PYK3_H2PYK3_PANTR_9598 and sp_P06239_LCK_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QTL3_H2QTL3_PANTR_9598 and tr_A0A2R9BRU0_A0A2R9BRU0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2R5W0_H2R5W0_PANTR_9598 and tr_A0A2R8ZDG4_A0A2R8ZDG4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F7FG65_F7FG65_MONDO_13616 and sp_Q62844_FYN_RAT_10116 are exactly identical!
WARNING: Sequences tr_F7FG65_F7FG65_MONDO_13616 and tr_G3WAB1_G3WAB1_SARHA_9305 are exactly identical!
WARNING: Sequences tr_F7FG65_F7FG65_MONDO_13616 and tr_A0A1U7Q8Y9_A0A1U7Q8Y9_MESAU_10036 are exactly identical!
WARNING: Sequences tr_A0A087ZQN7_A0A087ZQN7_APIME_7460 and tr_A0A2A3E5Z4_A0A2A3E5Z4_APICC_94128 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_F4WY89_F4WY89_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_A0A151X6R4_A0A151X6R4_9HYME_64791 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_A0A195EHE4_A0A195EHE4_9HYME_471704 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_A0A195AWS6_A0A195AWS6_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_A0A195FER6_A0A195FER6_9HYME_34720 are exactly identical!
WARNING: Sequences tr_A0A158NHS2_A0A158NHS2_ATTCE_12957 and tr_A0A195CB93_A0A195CB93_9HYME_456900 are exactly identical!
WARNING: Sequences sp_P07947_YES_HUMAN_9606 and tr_A0A2R9BQR6_A0A2R9BQR6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0K0JR93_A0A0K0JR93_BRUMA_6279 and tr_A0A0N4T1I1_A0A0N4T1I1_BRUPA_6280 are exactly identical!
WARNING: Sequences tr_A0A1D5RAI3_A0A1D5RAI3_MACMU_9544 and tr_A0A096MYI8_A0A096MYI8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5RAI3_A0A1D5RAI3_MACMU_9544 and tr_A0A0D9RYF4_A0A0D9RYF4_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5RAI3_A0A1D5RAI3_MACMU_9544 and tr_A0A2K5MNP5_A0A2K5MNP5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5RAI3_A0A1D5RAI3_MACMU_9544 and tr_A0A2K6CEE8_A0A2K6CEE8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5RAI3_A0A1D5RAI3_MACMU_9544 and tr_A0A2K5YQ41_A0A2K5YQ41_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7BHF8_F7BHF8_MACMU_9544 and tr_G7NWU6_G7NWU6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7BV42_F7BV42_MACMU_9544 and tr_G7PBV3_G7PBV3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7BV42_F7BV42_MACMU_9544 and tr_A0A096MX07_A0A096MX07_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7BV42_F7BV42_MACMU_9544 and tr_A0A0D9RQ35_A0A0D9RQ35_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7BV42_F7BV42_MACMU_9544 and tr_A0A2K6DNJ8_A0A2K6DNJ8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7H8A7_F7H8A7_MACMU_9544 and tr_G7PGN2_G7PGN2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7H8A7_F7H8A7_MACMU_9544 and tr_A0A2K6DQ69_A0A2K6DQ69_MACNE_9545 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V0RXG8_A0A0V0RXG8_9BILA_6336 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V1CKI0_A0A0V1CKI0_TRIBR_45882 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V0X1S4_A0A0V0X1S4_9BILA_92179 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V0VJ28_A0A0V0VJ28_9BILA_181606 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V1ACR2_A0A0V1ACR2_9BILA_990121 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V1PBA8_A0A0V1PBA8_9BILA_92180 are exactly identical!
WARNING: Sequences tr_E5SRE0_E5SRE0_TRISP_6334 and tr_A0A0V0TUN5_A0A0V0TUN5_9BILA_144512 are exactly identical!
WARNING: Sequences tr_Q7Q5D3_Q7Q5D3_ANOGA_7165 and tr_A0A084WMI0_A0A084WMI0_ANOSI_74873 are exactly identical!
WARNING: Sequences tr_H0ZIS1_H0ZIS1_TAEGU_59729 and tr_U3JUR6_U3JUR6_FICAL_59894 are exactly identical!
WARNING: Sequences tr_H0ZIS1_H0ZIS1_TAEGU_59729 and tr_A0A091EX54_A0A091EX54_CORBR_85066 are exactly identical!
WARNING: Sequences tr_H0ZIS1_H0ZIS1_TAEGU_59729 and tr_A0A093QE26_A0A093QE26_9PASS_328815 are exactly identical!
WARNING: Sequences tr_H0ZIS1_H0ZIS1_TAEGU_59729 and tr_A0A218V143_A0A218V143_9PASE_299123 are exactly identical!
WARNING: Sequences tr_F4W469_F4W469_ACREC_103372 and tr_A0A151X1X9_A0A151X1X9_9HYME_64791 are exactly identical!
WARNING: Sequences tr_F4W469_F4W469_ACREC_103372 and tr_A0A195E5N9_A0A195E5N9_9HYME_471704 are exactly identical!
WARNING: Sequences tr_G0MNP2_G0MNP2_CAEBE_135651 and tr_G0P982_G0P982_CAEBE_135651 are exactly identical!
WARNING: Sequences tr_G1L4Q2_G1L4Q2_AILME_9646 and tr_A0A2U3WXZ8_A0A2U3WXZ8_ODORO_9708 are exactly identical!
WARNING: Sequences tr_G1LJ17_G1LJ17_AILME_9646 and tr_A0A2U3X8S8_A0A2U3X8S8_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_G1LJ17_G1LJ17_AILME_9646 and tr_A0A384C1E0_A0A384C1E0_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A0K0FZX4_A0A0K0FZX4_STRVS_75913 and tr_A0A0N5BRC9_A0A0N5BRC9_STREA_174720 are exactly identical!
WARNING: Sequences tr_A0A091JKT0_A0A091JKT0_EGRGA_188379 and tr_A0A093GBY3_A0A093GBY3_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091JTT7_A0A091JTT7_EGRGA_188379 and tr_A0A091WR57_A0A091WR57_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A091JTT7_A0A091JTT7_EGRGA_188379 and tr_A0A087REG6_A0A087REG6_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091JTT7_A0A091JTT7_EGRGA_188379 and tr_A0A0A0ANH8_A0A0A0ANH8_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091JTT7_A0A091JTT7_EGRGA_188379 and tr_R7VSI6_R7VSI6_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A091JTT7_A0A091JTT7_EGRGA_188379 and tr_A0A1V4KFV3_A0A1V4KFV3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A091FUW7_A0A091FUW7_9AVES_55661 and tr_A0A093J8P3_A0A093J8P3_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091FUW7_A0A091FUW7_9AVES_55661 and tr_A0A091HS58_A0A091HS58_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V0WJ14_A0A0V0WJ14_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V0UZ47_A0A0V0UZ47_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V1LKP0_A0A0V1LKP0_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V0ZTZ0_A0A0V0ZTZ0_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V1P4C2_A0A0V1P4C2_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1CSF8_A0A0V1CSF8_TRIBR_45882 and tr_A0A0V0U0Z1_A0A0V0U0Z1_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1N4A6_A0A0V1N4A6_9BILA_268474 and tr_A0A0V1H8T1_A0A0V1H8T1_9BILA_268475 are exactly identical!
WARNING: Sequences tr_A0A195ET97_A0A195ET97_9HYME_34720 and tr_A0A195CLJ5_A0A195CLJ5_9HYME_456900 are exactly identical!
WARNING: Sequences tr_A0A226NGR7_A0A226NGR7_CALSU_9009 and tr_A0A226NY66_A0A226NY66_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0SJ06_A0A2D0SJ06_ICTPU_7998 and tr_W5U9K8_W5U9K8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U4AJ04_A0A2U4AJ04_TURTR_9739 and tr_A0A2Y9LZZ2_A0A2Y9LZZ2_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2Y9PB67_A0A2Y9PB67_DELLE_9749 and tr_A0A384AW66_A0A384AW66_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2Y9PSD7_A0A2Y9PSD7_DELLE_9749 and tr_A0A2Y9EJT6_A0A2Y9EJT6_PHYCD_9755 are exactly identical!
WARNING: Duplicate sequences found: 139

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/P51451/3_mltree/P51451.raxml.reduced.phy

Alignment comprises 1 partitions and 492 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 492 / 492
Gaps: 4.37 %
Invariant sites: 0.41 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/3_mltree/P51451.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 71 / 5680
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -569148.545390] Initial branch length optimization
[00:00:03 -482888.104377] Model parameter optimization (eps = 10.000000)
[00:00:26 -481846.403003] AUTODETECT spr round 1 (radius: 5)
[00:02:06 -299007.857913] AUTODETECT spr round 2 (radius: 10)
[00:03:52 -204174.162102] AUTODETECT spr round 3 (radius: 15)
[00:05:46 -169767.519970] AUTODETECT spr round 4 (radius: 20)
[00:07:51 -150801.549926] AUTODETECT spr round 5 (radius: 25)
[00:10:11 -140203.438531] SPR radius for FAST iterations: 25 (autodetect)
[00:10:12 -140203.438531] Model parameter optimization (eps = 3.000000)
[00:10:27 -140026.410781] FAST spr round 1 (radius: 25)
[00:12:13 -119047.603564] FAST spr round 2 (radius: 25)
[00:13:43 -117234.452229] FAST spr round 3 (radius: 25)
[00:15:05 -117111.506809] FAST spr round 4 (radius: 25)
[00:16:23 -117110.289344] FAST spr round 5 (radius: 25)
[00:17:39 -117110.289250] Model parameter optimization (eps = 1.000000)
[00:17:51 -117105.062236] SLOW spr round 1 (radius: 5)
[00:19:27 -117059.158600] SLOW spr round 2 (radius: 5)
[00:21:01 -117055.565582] SLOW spr round 3 (radius: 5)
[00:22:33 -117055.565490] SLOW spr round 4 (radius: 10)
[00:24:08 -117047.690045] SLOW spr round 5 (radius: 5)
[00:25:58 -117045.402192] SLOW spr round 6 (radius: 5)
[00:27:38 -117043.551501] SLOW spr round 7 (radius: 5)
[00:29:11 -117043.551484] SLOW spr round 8 (radius: 10)
[00:30:43 -117043.551484] SLOW spr round 9 (radius: 15)
[00:32:51 -117037.948340] SLOW spr round 10 (radius: 5)
[00:34:49 -117035.500142] SLOW spr round 11 (radius: 5)
[00:36:33 -117035.499985] SLOW spr round 12 (radius: 10)
[00:38:08 -117035.499985] SLOW spr round 13 (radius: 15)
[00:40:12 -117035.499985] SLOW spr round 14 (radius: 20)
[00:43:35 -117035.499985] SLOW spr round 15 (radius: 25)
[00:47:57 -116932.716964] SLOW spr round 16 (radius: 5)
[00:49:54 -116932.452629] SLOW spr round 17 (radius: 5)
[00:51:37 -116932.452623] SLOW spr round 18 (radius: 10)
[00:53:13 -116932.452623] SLOW spr round 19 (radius: 15)
[00:55:18 -116932.452623] SLOW spr round 20 (radius: 20)
[00:58:41 -116932.452623] SLOW spr round 21 (radius: 25)
[01:03:03 -116932.452623] Model parameter optimization (eps = 0.100000)

[01:03:11] ML tree search #1, logLikelihood: -116931.989831

[01:03:11 -575722.351868] Initial branch length optimization
[01:03:14 -486630.000331] Model parameter optimization (eps = 10.000000)
[01:03:37 -485648.736955] AUTODETECT spr round 1 (radius: 5)
[01:05:17 -300201.606965] AUTODETECT spr round 2 (radius: 10)
[01:07:03 -194552.351590] AUTODETECT spr round 3 (radius: 15)
[01:08:49 -149277.644082] AUTODETECT spr round 4 (radius: 20)
[01:10:45 -138243.038351] AUTODETECT spr round 5 (radius: 25)
[01:12:58 -132928.520192] SPR radius for FAST iterations: 25 (autodetect)
[01:12:58 -132928.520192] Model parameter optimization (eps = 3.000000)
[01:13:15 -132737.939893] FAST spr round 1 (radius: 25)
[01:14:58 -117691.032426] FAST spr round 2 (radius: 25)
[01:16:24 -117077.798692] FAST spr round 3 (radius: 25)
[01:17:47 -116987.738357] FAST spr round 4 (radius: 25)
[01:19:08 -116938.454106] FAST spr round 5 (radius: 25)
[01:20:24 -116938.211096] FAST spr round 6 (radius: 25)
[01:21:40 -116938.211027] Model parameter optimization (eps = 1.000000)
[01:21:52 -116934.192878] SLOW spr round 1 (radius: 5)
[01:23:27 -116908.256949] SLOW spr round 2 (radius: 5)
[01:25:02 -116905.241725] SLOW spr round 3 (radius: 5)
[01:26:35 -116901.169377] SLOW spr round 4 (radius: 5)
[01:28:06 -116901.169360] SLOW spr round 5 (radius: 10)
[01:29:39 -116899.409509] SLOW spr round 6 (radius: 5)
[01:31:28 -116899.409494] SLOW spr round 7 (radius: 10)
[01:33:07 -116899.409490] SLOW spr round 8 (radius: 15)
[01:35:08 -116896.550694] SLOW spr round 9 (radius: 5)
[01:37:07 -116892.924575] SLOW spr round 10 (radius: 5)
[01:38:50 -116892.924457] SLOW spr round 11 (radius: 10)
[01:40:27 -116892.924453] SLOW spr round 12 (radius: 15)
[01:42:31 -116892.924449] SLOW spr round 13 (radius: 20)
[01:45:48 -116892.924446] SLOW spr round 14 (radius: 25)
[01:50:03 -116892.924444] Model parameter optimization (eps = 0.100000)

[01:50:12] ML tree search #2, logLikelihood: -116892.510819

[01:50:12 -570830.943999] Initial branch length optimization
[01:50:15 -483285.036700] Model parameter optimization (eps = 10.000000)
[01:50:46 -482378.262744] AUTODETECT spr round 1 (radius: 5)
[01:52:26 -291716.620717] AUTODETECT spr round 2 (radius: 10)
[01:54:14 -204884.933021] AUTODETECT spr round 3 (radius: 15)
[01:56:09 -161707.106374] AUTODETECT spr round 4 (radius: 20)
[01:58:28 -137311.281023] AUTODETECT spr round 5 (radius: 25)
[02:00:56 -135937.969044] SPR radius for FAST iterations: 25 (autodetect)
[02:00:56 -135937.969044] Model parameter optimization (eps = 3.000000)
[02:01:12 -135664.472150] FAST spr round 1 (radius: 25)
[02:02:56 -117852.951247] FAST spr round 2 (radius: 25)
[02:04:27 -117066.504393] FAST spr round 3 (radius: 25)
[02:05:50 -116998.200542] FAST spr round 4 (radius: 25)
[02:07:10 -116991.378677] FAST spr round 5 (radius: 25)
[02:08:27 -116991.378477] Model parameter optimization (eps = 1.000000)
[02:08:37 -116989.676524] SLOW spr round 1 (radius: 5)
[02:10:13 -116947.517477] SLOW spr round 2 (radius: 5)
[02:11:48 -116935.856253] SLOW spr round 3 (radius: 5)
[02:13:18 -116935.856186] SLOW spr round 4 (radius: 10)
[02:14:52 -116932.919736] SLOW spr round 5 (radius: 5)
[02:16:41 -116932.919557] SLOW spr round 6 (radius: 10)
[02:18:23 -116931.383739] SLOW spr round 7 (radius: 5)
[02:20:13 -116917.787432] SLOW spr round 8 (radius: 5)
[02:21:52 -116912.027743] SLOW spr round 9 (radius: 5)
[02:23:26 -116912.027709] SLOW spr round 10 (radius: 10)
[02:24:59 -116912.027701] SLOW spr round 11 (radius: 15)
[02:27:03 -116912.027474] SLOW spr round 12 (radius: 20)
[02:30:11 -116912.027466] SLOW spr round 13 (radius: 25)
[02:34:23 -116912.027458] Model parameter optimization (eps = 0.100000)

[02:34:31] ML tree search #3, logLikelihood: -116911.916078

[02:34:31 -575698.120142] Initial branch length optimization
[02:34:34 -488444.859360] Model parameter optimization (eps = 10.000000)
[02:34:58 -487495.321808] AUTODETECT spr round 1 (radius: 5)
[02:36:40 -302339.274722] AUTODETECT spr round 2 (radius: 10)
[02:38:25 -208580.398177] AUTODETECT spr round 3 (radius: 15)
[02:40:17 -160973.406705] AUTODETECT spr round 4 (radius: 20)
[02:42:45 -135170.812633] AUTODETECT spr round 5 (radius: 25)
[02:45:18 -134675.075617] SPR radius for FAST iterations: 25 (autodetect)
[02:45:18 -134675.075617] Model parameter optimization (eps = 3.000000)
[02:45:34 -134495.149738] FAST spr round 1 (radius: 25)
[02:47:19 -117819.818116] FAST spr round 2 (radius: 25)
[02:48:48 -117102.330661] FAST spr round 3 (radius: 25)
[02:50:13 -116998.198382] FAST spr round 4 (radius: 25)
[02:51:35 -116985.909447] FAST spr round 5 (radius: 25)
[02:52:53 -116985.908733] Model parameter optimization (eps = 1.000000)
[02:53:04 -116983.412173] SLOW spr round 1 (radius: 5)
[02:54:39 -116943.399811] SLOW spr round 2 (radius: 5)
[02:56:15 -116937.983463] SLOW spr round 3 (radius: 5)
[02:57:48 -116937.672793] SLOW spr round 4 (radius: 5)
[02:59:20 -116937.672770] SLOW spr round 5 (radius: 10)
[03:00:55 -116935.605052] SLOW spr round 6 (radius: 5)
[03:02:47 -116935.604825] SLOW spr round 7 (radius: 10)
[03:04:28 -116935.604825] SLOW spr round 8 (radius: 15)
[03:06:36 -116931.724004] SLOW spr round 9 (radius: 5)
[03:08:33 -116931.428165] SLOW spr round 10 (radius: 5)
[03:10:18 -116931.428165] SLOW spr round 11 (radius: 10)
[03:11:56 -116931.428165] SLOW spr round 12 (radius: 15)
[03:14:04 -116929.503977] SLOW spr round 13 (radius: 5)
[03:16:02 -116929.503977] SLOW spr round 14 (radius: 10)
[03:17:46 -116929.503977] SLOW spr round 15 (radius: 15)
[03:19:53 -116929.503977] SLOW spr round 16 (radius: 20)
[03:23:14 -116929.503977] SLOW spr round 17 (radius: 25)
[03:27:27 -116927.822573] SLOW spr round 18 (radius: 5)
[03:29:27 -116926.585199] SLOW spr round 19 (radius: 5)
[03:31:15 -116923.863410] SLOW spr round 20 (radius: 5)
[03:32:53 -116923.863400] SLOW spr round 21 (radius: 10)
[03:34:29 -116923.863400] SLOW spr round 22 (radius: 15)
[03:36:38 -116923.863400] SLOW spr round 23 (radius: 20)
[03:39:55 -116923.863400] SLOW spr round 24 (radius: 25)
[03:44:01 -116923.863400] Model parameter optimization (eps = 0.100000)

[03:44:10] ML tree search #4, logLikelihood: -116923.683990

[03:44:10 -573929.739805] Initial branch length optimization
[03:44:14 -486835.615477] Model parameter optimization (eps = 10.000000)
[03:44:39 -485906.617438] AUTODETECT spr round 1 (radius: 5)
[03:46:20 -296565.413236] AUTODETECT spr round 2 (radius: 10)
[03:48:08 -212516.360348] AUTODETECT spr round 3 (radius: 15)
[03:49:59 -176524.830208] AUTODETECT spr round 4 (radius: 20)
[03:52:11 -150529.035210] AUTODETECT spr round 5 (radius: 25)
[03:54:22 -141808.784290] SPR radius for FAST iterations: 25 (autodetect)
[03:54:22 -141808.784290] Model parameter optimization (eps = 3.000000)
[03:54:28 -141803.077932] FAST spr round 1 (radius: 25)
[03:56:14 -118576.420753] FAST spr round 2 (radius: 25)
[03:57:46 -117216.735965] FAST spr round 3 (radius: 25)
[03:59:09 -117122.897797] FAST spr round 4 (radius: 25)
[04:00:31 -117112.150552] FAST spr round 5 (radius: 25)
[04:01:49 -117110.648220] FAST spr round 6 (radius: 25)
[04:03:06 -117110.648149] Model parameter optimization (eps = 1.000000)
[04:03:22 -116956.704601] SLOW spr round 1 (radius: 5)
[04:05:02 -116919.277269] SLOW spr round 2 (radius: 5)
[04:06:38 -116909.883054] SLOW spr round 3 (radius: 5)
[04:08:11 -116909.883025] SLOW spr round 4 (radius: 10)
[04:09:45 -116906.597524] SLOW spr round 5 (radius: 5)
[04:11:36 -116906.597460] SLOW spr round 6 (radius: 10)
[04:13:16 -116906.597440] SLOW spr round 7 (radius: 15)
[04:15:20 -116899.710573] SLOW spr round 8 (radius: 5)
[04:17:19 -116896.042489] SLOW spr round 9 (radius: 5)
[04:19:04 -116896.042329] SLOW spr round 10 (radius: 10)
[04:20:42 -116896.042300] SLOW spr round 11 (radius: 15)
[04:22:47 -116896.042281] SLOW spr round 12 (radius: 20)
[04:26:08 -116896.042264] SLOW spr round 13 (radius: 25)
[04:30:24 -116896.042246] Model parameter optimization (eps = 0.100000)

[04:30:32] ML tree search #5, logLikelihood: -116895.501112

[04:30:32 -572155.535138] Initial branch length optimization
[04:30:36 -485526.410309] Model parameter optimization (eps = 10.000000)
[04:31:07 -484620.128511] AUTODETECT spr round 1 (radius: 5)
[04:32:49 -292950.861553] AUTODETECT spr round 2 (radius: 10)
[04:34:34 -208965.459644] AUTODETECT spr round 3 (radius: 15)
[04:36:27 -170319.752942] AUTODETECT spr round 4 (radius: 20)
[04:38:34 -148768.168192] AUTODETECT spr round 5 (radius: 25)
[04:41:11 -141148.708374] SPR radius for FAST iterations: 25 (autodetect)
[04:41:11 -141148.708374] Model parameter optimization (eps = 3.000000)
[04:41:27 -140918.843283] FAST spr round 1 (radius: 25)
[04:43:16 -119235.514006] FAST spr round 2 (radius: 25)
[04:44:49 -117113.219259] FAST spr round 3 (radius: 25)
[04:46:15 -116998.395622] FAST spr round 4 (radius: 25)
[04:47:35 -116983.498705] FAST spr round 5 (radius: 25)
[04:48:51 -116980.473307] FAST spr round 6 (radius: 25)
[04:50:07 -116980.473281] Model parameter optimization (eps = 1.000000)
[04:50:18 -116977.615749] SLOW spr round 1 (radius: 5)
[04:51:54 -116952.332183] SLOW spr round 2 (radius: 5)
[04:53:28 -116948.871865] SLOW spr round 3 (radius: 5)
[04:54:58 -116947.217821] SLOW spr round 4 (radius: 5)
[04:56:29 -116947.217790] SLOW spr round 5 (radius: 10)
[04:58:02 -116943.435085] SLOW spr round 6 (radius: 5)
[04:59:52 -116942.903226] SLOW spr round 7 (radius: 5)
[05:01:31 -116942.903223] SLOW spr round 8 (radius: 10)
[05:03:06 -116942.903220] SLOW spr round 9 (radius: 15)
[05:05:08 -116914.491569] SLOW spr round 10 (radius: 5)
[05:07:05 -116910.501170] SLOW spr round 11 (radius: 5)
[05:08:48 -116910.045759] SLOW spr round 12 (radius: 5)
[05:10:24 -116910.045718] SLOW spr round 13 (radius: 10)
[05:11:59 -116910.045715] SLOW spr round 14 (radius: 15)
[05:14:05 -116908.113549] SLOW spr round 15 (radius: 5)
[05:16:02 -116908.113546] SLOW spr round 16 (radius: 10)
[05:17:46 -116908.113543] SLOW spr round 17 (radius: 15)
[05:19:50 -116908.113540] SLOW spr round 18 (radius: 20)
[05:23:17 -116908.113537] SLOW spr round 19 (radius: 25)
[05:27:45 -116908.113534] Model parameter optimization (eps = 0.100000)

[05:27:49] ML tree search #6, logLikelihood: -116908.083040

[05:27:49 -572270.457012] Initial branch length optimization
[05:27:52 -485156.348395] Model parameter optimization (eps = 10.000000)
[05:28:15 -484219.521962] AUTODETECT spr round 1 (radius: 5)
[05:29:55 -295119.769357] AUTODETECT spr round 2 (radius: 10)
[05:31:44 -200773.106784] AUTODETECT spr round 3 (radius: 15)
[05:33:40 -162137.089119] AUTODETECT spr round 4 (radius: 20)
[05:35:43 -143440.885783] AUTODETECT spr round 5 (radius: 25)
[05:38:01 -138530.195213] SPR radius for FAST iterations: 25 (autodetect)
[05:38:01 -138530.195213] Model parameter optimization (eps = 3.000000)
[05:38:20 -138338.051412] FAST spr round 1 (radius: 25)
[05:40:11 -118233.761225] FAST spr round 2 (radius: 25)
[05:41:41 -117136.356612] FAST spr round 3 (radius: 25)
[05:43:05 -117055.511326] FAST spr round 4 (radius: 25)
[05:44:25 -117049.566323] FAST spr round 5 (radius: 25)
[05:45:43 -117046.311484] FAST spr round 6 (radius: 25)
[05:47:00 -117046.304700] Model parameter optimization (eps = 1.000000)
[05:47:09 -117044.830674] SLOW spr round 1 (radius: 5)
[05:48:45 -117026.217298] SLOW spr round 2 (radius: 5)
[05:50:18 -117023.519523] SLOW spr round 3 (radius: 5)
[05:51:50 -117021.857226] SLOW spr round 4 (radius: 5)
[05:53:21 -117021.857199] SLOW spr round 5 (radius: 10)
[05:54:54 -117017.406477] SLOW spr round 6 (radius: 5)
[05:56:45 -117017.151084] SLOW spr round 7 (radius: 5)
[05:58:25 -117017.151076] SLOW spr round 8 (radius: 10)
[06:00:00 -117017.151076] SLOW spr round 9 (radius: 15)
[06:02:08 -117017.150844] SLOW spr round 10 (radius: 20)
[06:05:29 -117017.150844] SLOW spr round 11 (radius: 25)
[06:09:49 -117015.465957] SLOW spr round 12 (radius: 5)
[06:11:50 -117011.508319] SLOW spr round 13 (radius: 5)
[06:13:37 -117011.508111] SLOW spr round 14 (radius: 10)
[06:15:16 -117011.508111] SLOW spr round 15 (radius: 15)
[06:17:23 -117011.508111] SLOW spr round 16 (radius: 20)
[06:20:43 -117011.508111] SLOW spr round 17 (radius: 25)
[06:24:56 -117011.508111] Model parameter optimization (eps = 0.100000)

[06:25:05] ML tree search #7, logLikelihood: -117011.285539

[06:25:05 -574574.574150] Initial branch length optimization
[06:25:08 -486589.734151] Model parameter optimization (eps = 10.000000)
[06:25:43 -485588.029177] AUTODETECT spr round 1 (radius: 5)
[06:27:23 -301087.367980] AUTODETECT spr round 2 (radius: 10)
[06:29:08 -209463.061578] AUTODETECT spr round 3 (radius: 15)
[06:31:03 -171519.680257] AUTODETECT spr round 4 (radius: 20)
[06:32:57 -159690.102981] AUTODETECT spr round 5 (radius: 25)
[06:35:38 -144882.048900] SPR radius for FAST iterations: 25 (autodetect)
[06:35:38 -144882.048900] Model parameter optimization (eps = 3.000000)
[06:35:55 -144618.056856] FAST spr round 1 (radius: 25)
[06:37:45 -119040.520789] FAST spr round 2 (radius: 25)
[06:39:18 -117221.825519] FAST spr round 3 (radius: 25)
[06:40:43 -116990.008104] FAST spr round 4 (radius: 25)
[06:42:01 -116986.202140] FAST spr round 5 (radius: 25)
[06:43:17 -116986.202068] Model parameter optimization (eps = 1.000000)
[06:43:26 -116984.754322] SLOW spr round 1 (radius: 5)
[06:45:03 -116959.154598] SLOW spr round 2 (radius: 5)
[06:46:38 -116953.084053] SLOW spr round 3 (radius: 5)
[06:48:14 -116951.193700] SLOW spr round 4 (radius: 5)
[06:49:47 -116951.193608] SLOW spr round 5 (radius: 10)
[06:51:21 -116951.193603] SLOW spr round 6 (radius: 15)
[06:53:31 -116947.921807] SLOW spr round 7 (radius: 5)
[06:55:28 -116945.495299] SLOW spr round 8 (radius: 5)
[06:57:14 -116943.988388] SLOW spr round 9 (radius: 5)
[06:58:50 -116943.988343] SLOW spr round 10 (radius: 10)
[07:00:26 -116943.988085] SLOW spr round 11 (radius: 15)
[07:02:35 -116943.988085] SLOW spr round 12 (radius: 20)
[07:05:59 -116943.575417] SLOW spr round 13 (radius: 5)
[07:07:59 -116940.845081] SLOW spr round 14 (radius: 5)
[07:09:45 -116940.839213] SLOW spr round 15 (radius: 10)
[07:11:24 -116940.839213] SLOW spr round 16 (radius: 15)
[07:13:31 -116940.839213] SLOW spr round 17 (radius: 20)
[07:16:54 -116940.839213] SLOW spr round 18 (radius: 25)
[07:21:24 -116940.839213] Model parameter optimization (eps = 0.100000)

[07:21:33] ML tree search #8, logLikelihood: -116940.497478

[07:21:33 -566988.163569] Initial branch length optimization
[07:21:36 -481377.607481] Model parameter optimization (eps = 10.000000)
[07:22:09 -480301.557461] AUTODETECT spr round 1 (radius: 5)
[07:23:49 -301482.661316] AUTODETECT spr round 2 (radius: 10)
[07:25:37 -202222.016343] AUTODETECT spr round 3 (radius: 15)
[07:27:27 -160911.743849] AUTODETECT spr round 4 (radius: 20)
[07:29:40 -147762.094737] AUTODETECT spr round 5 (radius: 25)
[07:32:06 -141252.501087] SPR radius for FAST iterations: 25 (autodetect)
[07:32:06 -141252.501087] Model parameter optimization (eps = 3.000000)
[07:32:21 -141044.567594] FAST spr round 1 (radius: 25)
[07:34:07 -118288.324239] FAST spr round 2 (radius: 25)
[07:35:40 -117046.243382] FAST spr round 3 (radius: 25)
[07:37:05 -116992.319854] FAST spr round 4 (radius: 25)
[07:38:25 -116983.509177] FAST spr round 5 (radius: 25)
[07:39:43 -116983.507558] Model parameter optimization (eps = 1.000000)
[07:39:53 -116981.933091] SLOW spr round 1 (radius: 5)
[07:41:32 -116936.749754] SLOW spr round 2 (radius: 5)
[07:43:08 -116927.992752] SLOW spr round 3 (radius: 5)
[07:44:41 -116926.255437] SLOW spr round 4 (radius: 5)
[07:46:14 -116926.254617] SLOW spr round 5 (radius: 10)
[07:47:49 -116920.530101] SLOW spr round 6 (radius: 5)
[07:49:40 -116920.529614] SLOW spr round 7 (radius: 10)
[07:51:21 -116920.529513] SLOW spr round 8 (radius: 15)
[07:53:23 -116920.529413] SLOW spr round 9 (radius: 20)
[07:56:37 -116919.235044] SLOW spr round 10 (radius: 5)
[07:58:35 -116919.234732] SLOW spr round 11 (radius: 10)
[08:00:22 -116919.234709] SLOW spr round 12 (radius: 15)
[08:02:23 -116919.234685] SLOW spr round 13 (radius: 20)
[08:05:37 -116919.234663] SLOW spr round 14 (radius: 25)
[08:09:43 -116919.234640] Model parameter optimization (eps = 0.100000)

[08:09:48] ML tree search #9, logLikelihood: -116919.186086

[08:09:48 -570785.958085] Initial branch length optimization
[08:09:51 -483427.582930] Model parameter optimization (eps = 10.000000)
[08:10:26 -482470.599332] AUTODETECT spr round 1 (radius: 5)
[08:12:07 -300448.026474] AUTODETECT spr round 2 (radius: 10)
[08:13:57 -205656.816406] AUTODETECT spr round 3 (radius: 15)
[08:15:46 -172409.972770] AUTODETECT spr round 4 (radius: 20)
[08:17:51 -151805.119089] AUTODETECT spr round 5 (radius: 25)
[08:20:12 -140799.315752] SPR radius for FAST iterations: 25 (autodetect)
[08:20:12 -140799.315752] Model parameter optimization (eps = 3.000000)
[08:20:30 -140612.762403] FAST spr round 1 (radius: 25)
[08:22:15 -118377.656063] FAST spr round 2 (radius: 25)
[08:23:47 -117064.040059] FAST spr round 3 (radius: 25)
[08:25:11 -116968.347420] FAST spr round 4 (radius: 25)
[08:26:33 -116962.933922] FAST spr round 5 (radius: 25)
[08:27:51 -116962.933715] Model parameter optimization (eps = 1.000000)
[08:28:04 -116958.907135] SLOW spr round 1 (radius: 5)
[08:29:42 -116928.366189] SLOW spr round 2 (radius: 5)
[08:31:19 -116919.972146] SLOW spr round 3 (radius: 5)
[08:32:52 -116919.546655] SLOW spr round 4 (radius: 5)
[08:34:25 -116919.546613] SLOW spr round 5 (radius: 10)
[08:35:59 -116917.416162] SLOW spr round 6 (radius: 5)
[08:37:50 -116917.415962] SLOW spr round 7 (radius: 10)
[08:39:31 -116917.415949] SLOW spr round 8 (radius: 15)
[08:41:39 -116917.415937] SLOW spr round 9 (radius: 20)
[08:44:59 -116917.415925] SLOW spr round 10 (radius: 25)
[08:49:17 -116917.415912] Model parameter optimization (eps = 0.100000)

[08:49:22] ML tree search #10, logLikelihood: -116917.368956

[08:49:22 -572572.335330] Initial branch length optimization
[08:49:25 -484798.913349] Model parameter optimization (eps = 10.000000)
[08:49:48 -483805.327278] AUTODETECT spr round 1 (radius: 5)
[08:51:30 -303038.566274] AUTODETECT spr round 2 (radius: 10)
[08:53:16 -221649.632917] AUTODETECT spr round 3 (radius: 15)
[08:55:19 -179672.601904] AUTODETECT spr round 4 (radius: 20)
[08:57:21 -155323.677898] AUTODETECT spr round 5 (radius: 25)
[08:59:27 -148326.815606] SPR radius for FAST iterations: 25 (autodetect)
[08:59:27 -148326.815606] Model parameter optimization (eps = 3.000000)
[08:59:41 -148127.249483] FAST spr round 1 (radius: 25)
[09:01:31 -119591.466288] FAST spr round 2 (radius: 25)
[09:03:05 -117130.893235] FAST spr round 3 (radius: 25)
[09:04:30 -117014.009253] FAST spr round 4 (radius: 25)
[09:05:53 -117012.206927] FAST spr round 5 (radius: 25)
[09:07:12 -117009.773842] FAST spr round 6 (radius: 25)
[09:08:31 -117009.773718] Model parameter optimization (eps = 1.000000)
[09:08:45 -117001.697630] SLOW spr round 1 (radius: 5)
[09:10:22 -116972.672851] SLOW spr round 2 (radius: 5)
[09:11:58 -116968.096962] SLOW spr round 3 (radius: 5)
[09:13:35 -116960.844024] SLOW spr round 4 (radius: 5)
[09:15:10 -116960.097728] SLOW spr round 5 (radius: 5)
[09:16:43 -116960.097583] SLOW spr round 6 (radius: 10)
[09:18:19 -116955.191015] SLOW spr round 7 (radius: 5)
[09:20:14 -116955.162895] SLOW spr round 8 (radius: 10)
[09:21:55 -116955.161798] SLOW spr round 9 (radius: 15)
[09:23:59 -116955.161734] SLOW spr round 10 (radius: 20)
[09:27:10 -116953.478218] SLOW spr round 11 (radius: 5)
[09:29:10 -116952.209530] SLOW spr round 12 (radius: 5)
[09:30:57 -116950.446723] SLOW spr round 13 (radius: 5)
[09:32:37 -116950.446704] SLOW spr round 14 (radius: 10)
[09:34:13 -116949.524385] SLOW spr round 15 (radius: 5)
[09:36:04 -116949.524370] SLOW spr round 16 (radius: 10)
[09:37:45 -116949.524367] SLOW spr round 17 (radius: 15)
[09:39:49 -116949.523926] SLOW spr round 18 (radius: 20)
[09:42:58 -116949.523879] SLOW spr round 19 (radius: 25)
[09:47:06 -116949.523875] Model parameter optimization (eps = 0.100000)

[09:47:12] ML tree search #11, logLikelihood: -116949.432648

[09:47:12 -572321.976105] Initial branch length optimization
[09:47:15 -486055.724256] Model parameter optimization (eps = 10.000000)
[09:47:38 -485127.104432] AUTODETECT spr round 1 (radius: 5)
[09:49:18 -297105.859904] AUTODETECT spr round 2 (radius: 10)
[09:51:07 -206310.242063] AUTODETECT spr round 3 (radius: 15)
[09:52:59 -173764.286391] AUTODETECT spr round 4 (radius: 20)
[09:55:03 -156264.361705] AUTODETECT spr round 5 (radius: 25)
[09:57:23 -147113.637181] SPR radius for FAST iterations: 25 (autodetect)
[09:57:23 -147113.637181] Model parameter optimization (eps = 3.000000)
[09:57:38 -146859.887352] FAST spr round 1 (radius: 25)
[09:59:28 -118878.039278] FAST spr round 2 (radius: 25)
[10:01:02 -117068.694288] FAST spr round 3 (radius: 25)
[10:02:29 -116963.688507] FAST spr round 4 (radius: 25)
[10:03:50 -116959.464132] FAST spr round 5 (radius: 25)
[10:05:08 -116959.464018] Model parameter optimization (eps = 1.000000)
[10:05:17 -116956.663119] SLOW spr round 1 (radius: 5)
[10:06:56 -116926.170833] SLOW spr round 2 (radius: 5)
[10:08:31 -116921.140618] SLOW spr round 3 (radius: 5)
[10:10:04 -116920.153316] SLOW spr round 4 (radius: 5)
[10:11:35 -116920.153267] SLOW spr round 5 (radius: 10)
[10:13:08 -116920.153250] SLOW spr round 6 (radius: 15)
[10:15:19 -116911.594167] SLOW spr round 7 (radius: 5)
[10:17:15 -116911.593686] SLOW spr round 8 (radius: 10)
[10:19:00 -116911.593677] SLOW spr round 9 (radius: 15)
[10:21:05 -116911.593668] SLOW spr round 10 (radius: 20)
[10:24:28 -116911.593659] SLOW spr round 11 (radius: 25)
[10:28:51 -116909.910823] SLOW spr round 12 (radius: 5)
[10:30:51 -116908.663422] SLOW spr round 13 (radius: 5)
[10:32:38 -116905.955111] SLOW spr round 14 (radius: 5)
[10:34:16 -116905.955104] SLOW spr round 15 (radius: 10)
[10:35:51 -116905.955098] SLOW spr round 16 (radius: 15)
[10:38:00 -116905.955093] SLOW spr round 17 (radius: 20)
[10:41:19 -116905.955087] SLOW spr round 18 (radius: 25)
[10:45:34 -116905.955082] Model parameter optimization (eps = 0.100000)

[10:45:40] ML tree search #12, logLikelihood: -116905.895198

[10:45:41 -569667.479613] Initial branch length optimization
[10:45:44 -484985.117552] Model parameter optimization (eps = 10.000000)
[10:46:09 -484074.250264] AUTODETECT spr round 1 (radius: 5)
[10:47:50 -293993.027447] AUTODETECT spr round 2 (radius: 10)
[10:49:41 -203471.518867] AUTODETECT spr round 3 (radius: 15)
[10:51:36 -170221.743296] AUTODETECT spr round 4 (radius: 20)
[10:53:44 -144529.273746] AUTODETECT spr round 5 (radius: 25)
[10:56:07 -141302.881751] SPR radius for FAST iterations: 25 (autodetect)
[10:56:07 -141302.881751] Model parameter optimization (eps = 3.000000)
[10:56:23 -141136.939797] FAST spr round 1 (radius: 25)
[10:58:08 -118519.867337] FAST spr round 2 (radius: 25)
[10:59:35 -117131.615306] FAST spr round 3 (radius: 25)
[11:01:01 -117002.340877] FAST spr round 4 (radius: 25)
[11:02:22 -116989.855328] FAST spr round 5 (radius: 25)
[11:03:42 -116988.742547] FAST spr round 6 (radius: 25)
[11:04:59 -116988.742391] Model parameter optimization (eps = 1.000000)
[11:05:13 -116981.347023] SLOW spr round 1 (radius: 5)
[11:06:49 -116945.938562] SLOW spr round 2 (radius: 5)
[11:08:25 -116931.066397] SLOW spr round 3 (radius: 5)
[11:10:01 -116926.965368] SLOW spr round 4 (radius: 5)
[11:11:37 -116926.470951] SLOW spr round 5 (radius: 5)
[11:13:10 -116926.470910] SLOW spr round 6 (radius: 10)
[11:14:45 -116924.737196] SLOW spr round 7 (radius: 5)
[11:16:36 -116924.737193] SLOW spr round 8 (radius: 10)
[11:18:17 -116924.737192] SLOW spr round 9 (radius: 15)
[11:20:20 -116921.602036] SLOW spr round 10 (radius: 5)
[11:22:18 -116921.601780] SLOW spr round 11 (radius: 10)
[11:24:04 -116919.827195] SLOW spr round 12 (radius: 5)
[11:25:54 -116919.150189] SLOW spr round 13 (radius: 5)
[11:27:33 -116919.150153] SLOW spr round 14 (radius: 10)
[11:29:09 -116919.150148] SLOW spr round 15 (radius: 15)
[11:31:13 -116919.150146] SLOW spr round 16 (radius: 20)
[11:34:32 -116914.272275] SLOW spr round 17 (radius: 5)
[11:36:30 -116914.272258] SLOW spr round 18 (radius: 10)
[11:38:18 -116914.272258] SLOW spr round 19 (radius: 15)
[11:40:20 -116914.272257] SLOW spr round 20 (radius: 20)
[11:43:42 -116914.272257] SLOW spr round 21 (radius: 25)
[11:47:57 -116912.588877] SLOW spr round 22 (radius: 5)
[11:49:57 -116911.357362] SLOW spr round 23 (radius: 5)
[11:51:46 -116908.626196] SLOW spr round 24 (radius: 5)
[11:53:25 -116908.626148] SLOW spr round 25 (radius: 10)
[11:55:00 -116908.626148] SLOW spr round 26 (radius: 15)
[11:57:05 -116908.626147] SLOW spr round 27 (radius: 20)
[12:00:21 -116908.626147] SLOW spr round 28 (radius: 25)
[12:04:28 -116908.626147] Model parameter optimization (eps = 0.100000)

[12:04:37] ML tree search #13, logLikelihood: -116908.339639

[12:04:37 -571958.646705] Initial branch length optimization
[12:04:40 -486075.799339] Model parameter optimization (eps = 10.000000)
[12:05:20 -485121.004059] AUTODETECT spr round 1 (radius: 5)
[12:07:01 -300750.848975] AUTODETECT spr round 2 (radius: 10)
[12:08:48 -209503.571832] AUTODETECT spr round 3 (radius: 15)
[12:10:38 -166017.353661] AUTODETECT spr round 4 (radius: 20)
[12:12:33 -149882.629587] AUTODETECT spr round 5 (radius: 25)
[12:14:53 -140161.029682] SPR radius for FAST iterations: 25 (autodetect)
[12:14:53 -140161.029682] Model parameter optimization (eps = 3.000000)
[12:15:09 -139950.488311] FAST spr round 1 (radius: 25)
[12:16:54 -118945.731737] FAST spr round 2 (radius: 25)
[12:18:27 -117079.346340] FAST spr round 3 (radius: 25)
[12:19:55 -116988.424360] FAST spr round 4 (radius: 25)
[12:21:19 -116971.558664] FAST spr round 5 (radius: 25)
[12:22:37 -116971.091467] FAST spr round 6 (radius: 25)
[12:23:54 -116971.091430] Model parameter optimization (eps = 1.000000)
[12:24:04 -116969.407699] SLOW spr round 1 (radius: 5)
[12:25:42 -116925.504601] SLOW spr round 2 (radius: 5)
[12:27:16 -116919.766949] SLOW spr round 3 (radius: 5)
[12:28:50 -116918.947156] SLOW spr round 4 (radius: 5)
[12:30:21 -116918.947152] SLOW spr round 5 (radius: 10)
[12:31:55 -116918.754469] SLOW spr round 6 (radius: 5)
[12:33:45 -116918.754468] SLOW spr round 7 (radius: 10)
[12:35:26 -116918.754467] SLOW spr round 8 (radius: 15)
[12:37:34 -116915.465413] SLOW spr round 9 (radius: 5)
[12:39:31 -116915.465313] SLOW spr round 10 (radius: 10)
[12:41:17 -116915.465312] SLOW spr round 11 (radius: 15)
[12:43:23 -116915.465312] SLOW spr round 12 (radius: 20)
[12:46:49 -116911.447520] SLOW spr round 13 (radius: 5)
[12:48:47 -116911.447519] SLOW spr round 14 (radius: 10)
[12:50:35 -116911.447518] SLOW spr round 15 (radius: 15)
[12:52:41 -116911.447517] SLOW spr round 16 (radius: 20)
[12:56:05 -116911.447517] SLOW spr round 17 (radius: 25)
[13:00:26 -116911.447516] Model parameter optimization (eps = 0.100000)

[13:00:35] ML tree search #14, logLikelihood: -116911.039534

[13:00:35 -564945.683989] Initial branch length optimization
[13:00:38 -477609.856572] Model parameter optimization (eps = 10.000000)
[13:01:07 -476610.780207] AUTODETECT spr round 1 (radius: 5)
[13:02:49 -292517.289482] AUTODETECT spr round 2 (radius: 10)
[13:04:40 -219877.493720] AUTODETECT spr round 3 (radius: 15)
[13:06:36 -180363.702864] AUTODETECT spr round 4 (radius: 20)
[13:08:52 -164307.670690] AUTODETECT spr round 5 (radius: 25)
[13:11:19 -159358.420851] SPR radius for FAST iterations: 25 (autodetect)
[13:11:19 -159358.420851] Model parameter optimization (eps = 3.000000)
[13:11:37 -159105.787760] FAST spr round 1 (radius: 25)
[13:13:29 -120370.642291] FAST spr round 2 (radius: 25)
[13:15:01 -117277.377411] FAST spr round 3 (radius: 25)
[13:16:25 -117010.629367] FAST spr round 4 (radius: 25)
[13:17:48 -116989.088757] FAST spr round 5 (radius: 25)
[13:19:06 -116989.084107] Model parameter optimization (eps = 1.000000)
[13:19:16 -116985.462682] SLOW spr round 1 (radius: 5)
[13:20:55 -116939.527012] SLOW spr round 2 (radius: 5)
[13:22:30 -116931.246331] SLOW spr round 3 (radius: 5)
[13:24:06 -116930.938934] SLOW spr round 4 (radius: 5)
[13:25:40 -116930.938752] SLOW spr round 5 (radius: 10)
[13:27:14 -116927.300702] SLOW spr round 6 (radius: 5)
[13:29:05 -116927.300450] SLOW spr round 7 (radius: 10)
[13:30:46 -116927.300446] SLOW spr round 8 (radius: 15)
[13:32:52 -116926.884159] SLOW spr round 9 (radius: 5)
[13:34:51 -116926.353865] SLOW spr round 10 (radius: 5)
[13:36:35 -116926.353783] SLOW spr round 11 (radius: 10)
[13:38:14 -116926.353781] SLOW spr round 12 (radius: 15)
[13:40:20 -116924.444809] SLOW spr round 13 (radius: 5)
[13:42:17 -116924.444778] SLOW spr round 14 (radius: 10)
[13:44:04 -116924.444776] SLOW spr round 15 (radius: 15)
[13:46:09 -116924.444774] SLOW spr round 16 (radius: 20)
[13:49:38 -116924.431911] SLOW spr round 17 (radius: 25)
[13:53:58 -116924.431908] Model parameter optimization (eps = 0.100000)

[13:54:04] ML tree search #15, logLikelihood: -116924.324714

[13:54:04 -571886.695022] Initial branch length optimization
[13:54:08 -485630.632928] Model parameter optimization (eps = 10.000000)
[13:54:44 -484633.925780] AUTODETECT spr round 1 (radius: 5)
[13:56:26 -299404.245167] AUTODETECT spr round 2 (radius: 10)
[13:58:14 -215114.136289] AUTODETECT spr round 3 (radius: 15)
[14:00:11 -174150.924523] AUTODETECT spr round 4 (radius: 20)
[14:02:11 -151266.480973] AUTODETECT spr round 5 (radius: 25)
[14:04:29 -142530.801090] SPR radius for FAST iterations: 25 (autodetect)
[14:04:29 -142530.801090] Model parameter optimization (eps = 3.000000)
[14:04:44 -142312.841252] FAST spr round 1 (radius: 25)
[14:06:33 -118836.736630] FAST spr round 2 (radius: 25)
[14:08:08 -117275.381734] FAST spr round 3 (radius: 25)
[14:09:36 -117037.301609] FAST spr round 4 (radius: 25)
[14:10:58 -117029.614991] FAST spr round 5 (radius: 25)
[14:12:16 -117028.728136] FAST spr round 6 (radius: 25)
[14:13:34 -117028.728036] Model parameter optimization (eps = 1.000000)
[14:13:44 -117025.870429] SLOW spr round 1 (radius: 5)
[14:15:25 -116961.203496] SLOW spr round 2 (radius: 5)
[14:17:01 -116959.590010] SLOW spr round 3 (radius: 5)
[14:18:35 -116959.589846] SLOW spr round 4 (radius: 10)
[14:20:10 -116952.547759] SLOW spr round 5 (radius: 5)
[14:22:02 -116949.042810] SLOW spr round 6 (radius: 5)
[14:23:43 -116949.042793] SLOW spr round 7 (radius: 10)
[14:25:20 -116949.042762] SLOW spr round 8 (radius: 15)
[14:27:23 -116949.042502] SLOW spr round 9 (radius: 20)
[14:30:25 -116949.042487] SLOW spr round 10 (radius: 25)
[14:34:24 -116947.359871] SLOW spr round 11 (radius: 5)
[14:36:24 -116946.116774] SLOW spr round 12 (radius: 5)
[14:38:13 -116943.411112] SLOW spr round 13 (radius: 5)
[14:39:53 -116943.410515] SLOW spr round 14 (radius: 10)
[14:41:30 -116943.410433] SLOW spr round 15 (radius: 15)
[14:43:34 -116943.410424] SLOW spr round 16 (radius: 20)
[14:46:35 -116943.410416] SLOW spr round 17 (radius: 25)
[14:50:33 -116943.410408] Model parameter optimization (eps = 0.100000)

[14:50:38] ML tree search #16, logLikelihood: -116943.373216

[14:50:38 -570847.883926] Initial branch length optimization
[14:50:41 -483094.079979] Model parameter optimization (eps = 10.000000)
[14:51:07 -482091.170837] AUTODETECT spr round 1 (radius: 5)
[14:52:50 -300207.974644] AUTODETECT spr round 2 (radius: 10)
[14:54:37 -201284.410364] AUTODETECT spr round 3 (radius: 15)
[14:56:24 -174558.108590] AUTODETECT spr round 4 (radius: 20)
[14:58:30 -149860.724833] AUTODETECT spr round 5 (radius: 25)
[15:00:38 -142306.022766] SPR radius for FAST iterations: 25 (autodetect)
[15:00:38 -142306.022766] Model parameter optimization (eps = 3.000000)
[15:00:55 -142068.709225] FAST spr round 1 (radius: 25)
[15:02:44 -118700.005461] FAST spr round 2 (radius: 25)
[15:04:16 -117089.728242] FAST spr round 3 (radius: 25)
[15:05:40 -117029.361207] FAST spr round 4 (radius: 25)
[15:07:03 -117020.907763] FAST spr round 5 (radius: 25)
[15:08:22 -117017.125858] FAST spr round 6 (radius: 25)
[15:09:41 -117016.511319] FAST spr round 7 (radius: 25)
[15:10:59 -117016.511273] Model parameter optimization (eps = 1.000000)
[15:11:10 -117008.145807] SLOW spr round 1 (radius: 5)
[15:12:46 -116966.375371] SLOW spr round 2 (radius: 5)
[15:14:23 -116957.078597] SLOW spr round 3 (radius: 5)
[15:16:00 -116952.717714] SLOW spr round 4 (radius: 5)
[15:17:34 -116952.717476] SLOW spr round 5 (radius: 10)
[15:19:11 -116951.005116] SLOW spr round 6 (radius: 5)
[15:21:04 -116951.004957] SLOW spr round 7 (radius: 10)
[15:22:45 -116951.004895] SLOW spr round 8 (radius: 15)
[15:24:47 -116949.019200] SLOW spr round 9 (radius: 5)
[15:26:47 -116947.924651] SLOW spr round 10 (radius: 5)
[15:28:33 -116947.650022] SLOW spr round 11 (radius: 5)
[15:30:11 -116947.649953] SLOW spr round 12 (radius: 10)
[15:31:47 -116947.649943] SLOW spr round 13 (radius: 15)
[15:33:51 -116947.649935] SLOW spr round 14 (radius: 20)
[15:36:59 -116947.649926] SLOW spr round 15 (radius: 25)
[15:41:03 -116947.649918] Model parameter optimization (eps = 0.100000)

[15:41:12] ML tree search #17, logLikelihood: -116946.782213

[15:41:12 -569143.362274] Initial branch length optimization
[15:41:16 -483655.895825] Model parameter optimization (eps = 10.000000)
[15:41:38 -482660.306655] AUTODETECT spr round 1 (radius: 5)
[15:43:20 -293905.568392] AUTODETECT spr round 2 (radius: 10)
[15:45:09 -209738.720256] AUTODETECT spr round 3 (radius: 15)
[15:47:02 -172088.145825] AUTODETECT spr round 4 (radius: 20)
[15:49:03 -159392.389705] AUTODETECT spr round 5 (radius: 25)
[15:51:42 -151106.953612] SPR radius for FAST iterations: 25 (autodetect)
[15:51:42 -151106.953612] Model parameter optimization (eps = 3.000000)
[15:51:59 -150818.747776] FAST spr round 1 (radius: 25)
[15:53:52 -119954.270982] FAST spr round 2 (radius: 25)
[15:55:26 -117355.117594] FAST spr round 3 (radius: 25)
[15:56:52 -117160.968974] FAST spr round 4 (radius: 25)
[15:58:15 -117119.705305] FAST spr round 5 (radius: 25)
[15:59:35 -117115.860881] FAST spr round 6 (radius: 25)
[16:00:53 -117115.548766] FAST spr round 7 (radius: 25)
[16:02:11 -117115.548761] Model parameter optimization (eps = 1.000000)
[16:02:21 -117114.110049] SLOW spr round 1 (radius: 5)
[16:03:58 -117094.719388] SLOW spr round 2 (radius: 5)
[16:05:33 -117091.814519] SLOW spr round 3 (radius: 5)
[16:07:06 -117091.814470] SLOW spr round 4 (radius: 10)
[16:08:41 -117090.107302] SLOW spr round 5 (radius: 5)
[16:10:32 -117090.107301] SLOW spr round 6 (radius: 10)
[16:12:14 -117090.107301] SLOW spr round 7 (radius: 15)
[16:14:18 -117085.487008] SLOW spr round 8 (radius: 5)
[16:16:17 -117081.383393] SLOW spr round 9 (radius: 5)
[16:18:04 -117080.713103] SLOW spr round 10 (radius: 5)
[16:19:43 -117080.713103] SLOW spr round 11 (radius: 10)
[16:21:18 -117080.713103] SLOW spr round 12 (radius: 15)
[16:23:26 -117078.779850] SLOW spr round 13 (radius: 5)
[16:25:23 -117078.779850] SLOW spr round 14 (radius: 10)
[16:27:10 -117078.779850] SLOW spr round 15 (radius: 15)
[16:29:14 -117078.779850] SLOW spr round 16 (radius: 20)
[16:32:38 -117078.779850] SLOW spr round 17 (radius: 25)
[16:37:01 -117078.779850] Model parameter optimization (eps = 0.100000)

[16:37:06] ML tree search #18, logLikelihood: -117078.710735

[16:37:06 -574126.073369] Initial branch length optimization
[16:37:09 -485538.137100] Model parameter optimization (eps = 10.000000)
[16:37:40 -484598.834403] AUTODETECT spr round 1 (radius: 5)
[16:39:23 -305164.044707] AUTODETECT spr round 2 (radius: 10)
[16:41:13 -203973.032514] AUTODETECT spr round 3 (radius: 15)
[16:43:02 -163777.571606] AUTODETECT spr round 4 (radius: 20)
[16:45:10 -149247.604906] AUTODETECT spr round 5 (radius: 25)
[16:47:34 -143316.232140] SPR radius for FAST iterations: 25 (autodetect)
[16:47:34 -143316.232140] Model parameter optimization (eps = 3.000000)
[16:47:54 -143094.142025] FAST spr round 1 (radius: 25)
[16:49:36 -121663.384291] FAST spr round 2 (radius: 25)
[16:51:05 -117410.731202] FAST spr round 3 (radius: 25)
[16:52:31 -117002.470398] FAST spr round 4 (radius: 25)
[16:53:53 -116969.977116] FAST spr round 5 (radius: 25)
[16:55:12 -116961.460175] FAST spr round 6 (radius: 25)
[16:56:29 -116959.726441] FAST spr round 7 (radius: 25)
[16:57:46 -116959.726314] Model parameter optimization (eps = 1.000000)
[16:57:57 -116956.846613] SLOW spr round 1 (radius: 5)
[16:59:33 -116933.274891] SLOW spr round 2 (radius: 5)
[17:01:06 -116930.894803] SLOW spr round 3 (radius: 5)
[17:02:39 -116929.786548] SLOW spr round 4 (radius: 5)
[17:04:10 -116929.524298] SLOW spr round 5 (radius: 5)
[17:05:41 -116929.524263] SLOW spr round 6 (radius: 10)
[17:07:13 -116929.524240] SLOW spr round 7 (radius: 15)
[17:09:17 -116928.426462] SLOW spr round 8 (radius: 5)
[17:11:13 -116928.426422] SLOW spr round 9 (radius: 10)
[17:12:57 -116928.426399] SLOW spr round 10 (radius: 15)
[17:14:57 -116928.426375] SLOW spr round 11 (radius: 20)
[17:18:05 -116926.743878] SLOW spr round 12 (radius: 5)
[17:20:04 -116925.485392] SLOW spr round 13 (radius: 5)
[17:21:50 -116922.793980] SLOW spr round 14 (radius: 5)
[17:23:27 -116922.793955] SLOW spr round 15 (radius: 10)
[17:25:02 -116922.793931] SLOW spr round 16 (radius: 15)
[17:27:04 -116922.793907] SLOW spr round 17 (radius: 20)
[17:30:11 -116922.793883] SLOW spr round 18 (radius: 25)
[17:34:18 -116922.793859] Model parameter optimization (eps = 0.100000)

[17:34:23] ML tree search #19, logLikelihood: -116922.783986

[17:34:23 -571517.210816] Initial branch length optimization
[17:34:27 -485332.640298] Model parameter optimization (eps = 10.000000)
[17:34:50 -484363.672419] AUTODETECT spr round 1 (radius: 5)
[17:36:32 -296763.334347] AUTODETECT spr round 2 (radius: 10)
[17:38:23 -209314.496750] AUTODETECT spr round 3 (radius: 15)
[17:40:18 -153858.048174] AUTODETECT spr round 4 (radius: 20)
[17:42:27 -140074.925678] AUTODETECT spr round 5 (radius: 25)
[17:44:33 -136698.282590] SPR radius for FAST iterations: 25 (autodetect)
[17:44:33 -136698.282590] Model parameter optimization (eps = 3.000000)
[17:44:51 -136468.272236] FAST spr round 1 (radius: 25)
[17:46:34 -117861.396647] FAST spr round 2 (radius: 25)
[17:48:06 -117057.391915] FAST spr round 3 (radius: 25)
[17:49:32 -116985.877225] FAST spr round 4 (radius: 25)
[17:50:55 -116969.509316] FAST spr round 5 (radius: 25)
[17:52:15 -116963.773244] FAST spr round 6 (radius: 25)
[17:53:33 -116963.773193] Model parameter optimization (eps = 1.000000)
[17:53:45 -116959.629098] SLOW spr round 1 (radius: 5)
[17:55:24 -116927.197451] SLOW spr round 2 (radius: 5)
[17:57:01 -116922.412771] SLOW spr round 3 (radius: 5)
[17:58:36 -116919.955624] SLOW spr round 4 (radius: 5)
[18:00:08 -116919.955600] SLOW spr round 5 (radius: 10)
[18:01:42 -116919.955596] SLOW spr round 6 (radius: 15)
[18:03:47 -116919.955581] SLOW spr round 7 (radius: 20)
[18:07:00 -116919.955581] SLOW spr round 8 (radius: 25)
[18:11:15 -116918.272195] SLOW spr round 9 (radius: 5)
[18:13:15 -116914.319551] SLOW spr round 10 (radius: 5)
[18:15:02 -116914.319466] SLOW spr round 11 (radius: 10)
[18:16:41 -116914.319465] SLOW spr round 12 (radius: 15)
[18:18:44 -116914.319465] SLOW spr round 13 (radius: 20)
[18:21:56 -116914.319465] SLOW spr round 14 (radius: 25)
[18:26:06 -116914.319465] Model parameter optimization (eps = 0.100000)

[18:26:13] ML tree search #20, logLikelihood: -116914.244530


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.283660,0.313607) (0.234465,0.435628) (0.282479,0.951690) (0.199397,2.708525) 
   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: -116892.510819

AIC score: 237795.021638 / AICc score: 8281855.021638 / BIC score: 246212.971465
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=492).
         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/P51451/3_mltree/P51451.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/3_mltree/P51451.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/3_mltree/P51451.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P51451/3_mltree/P51451.raxml.log

Analysis started: 01-Jul-2021 20:25:30 / finished: 02-Jul-2021 14:51:43

Elapsed time: 66373.777 seconds