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 11-Jul-2021 14:06:04 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/2_msa/E5RJM6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/2_msa/E5RJM6_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 643 sites WARNING: Sequences tr_A0A1D5PYL1_A0A1D5PYL1_CHICK_9031 and sp_Q5ZLC8_ANR52_CHICK_9031 are exactly identical! WARNING: Sequences tr_A0A1D5PYL1_A0A1D5PYL1_CHICK_9031 and tr_A0A226MEC3_A0A226MEC3_CALSU_9009 are exactly identical! WARNING: Sequences tr_M3YA90_M3YA90_MUSPF_9669 and tr_A0A2Y9K0E1_A0A2Y9K0E1_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M3Z111_M3Z111_MUSPF_9669 and tr_A0A2Y9KE62_A0A2Y9KE62_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M9MRX4_M9MRX4_DROME_7227 and tr_A0A1W4VN44_A0A1W4VN44_DROFC_30025 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_F7EBU2_F7EBU2_MACMU_9544 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_G7PDE9_G7PDE9_MACFA_9541 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_A0A2I3NH47_A0A2I3NH47_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_A0A3Q0E3J7_A0A3Q0E3J7_TARSY_1868482 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_A0A2K5N412_A0A2K5N412_CERAT_9531 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_A0A2K6CI25_A0A2K6CI25_MACNE_9545 are exactly identical! WARNING: Sequences tr_G1RNN5_G1RNN5_NOMLE_61853 and tr_A0A2K6ACH1_A0A2K6ACH1_MANLE_9568 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_G3S4C5_G3S4C5_GORGO_9595 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_H2R3U2_H2R3U2_PANTR_9598 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and sp_Q01484_ANK2_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_F7H4E0_F7H4E0_MACMU_9544 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A2R8MG44_A0A2R8MG44_CALJA_9483 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A287AUI5_A0A287AUI5_PIG_9823 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_G7P649_G7P649_MACFA_9541 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A337SR04_A0A337SR04_FELCA_9685 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A096N0E1_A0A096N0E1_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A0D9QUX9_A0A0D9QUX9_CHLSB_60711 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A2K5MCB6_A0A2K5MCB6_CERAT_9531 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A2K5YPQ5_A0A2K5YPQ5_MANLE_9568 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A2R9BUB3_A0A2R9BUB3_PANPA_9597 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A2U3WE70_A0A2U3WE70_ODORO_9708 are exactly identical! WARNING: Sequences tr_G1S2U2_G1S2U2_NOMLE_61853 and tr_A0A384BYK5_A0A384BYK5_URSMA_29073 are exactly identical! WARNING: Sequences tr_G3HZS2_G3HZS2_CRIGR_10029 and tr_F1LWB9_F1LWB9_RAT_10116 are exactly identical! WARNING: Sequences tr_B2W462_B2W462_PYRTR_426418 and tr_A0A317AQL2_A0A317AQL2_9PLEO_45151 are exactly identical! WARNING: Sequences tr_G3QMX5_G3QMX5_GORGO_9595 and tr_H2NAT9_H2NAT9_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3QMX5_G3QMX5_GORGO_9595 and tr_H2Q1Y0_H2Q1Y0_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QMX5_G3QMX5_GORGO_9595 and sp_Q12955_ANK3_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3QMX5_G3QMX5_GORGO_9595 and tr_F7D3K5_F7D3K5_CALJA_9483 are exactly identical! WARNING: Sequences tr_G3QMX5_G3QMX5_GORGO_9595 and tr_A0A2R9BXS8_A0A2R9BXS8_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A0R3NVX8_A0A0R3NVX8_DROPS_46245 and tr_B4H9M9_B4H9M9_DROPE_7234 are exactly identical! WARNING: Sequences tr_E2RR81_E2RR81_CANLF_9615 and tr_A0A2U3X075_A0A2U3X075_ODORO_9708 are exactly identical! WARNING: Sequences tr_E2RR81_E2RR81_CANLF_9615 and tr_A0A2U3Y629_A0A2U3Y629_LEPWE_9713 are exactly identical! WARNING: Sequences tr_J9NS42_J9NS42_CANLF_9615 and tr_A0A2Y9KGW3_A0A2Y9KGW3_ENHLU_391180 are exactly identical! WARNING: Sequences tr_A0A2I3TN78_A0A2I3TN78_PANTR_9598 and tr_A0A2R9AU58_A0A2R9AU58_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QQ51_H2QQ51_PANTR_9598 and sp_Q9ULJ7_ANR50_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2QQ51_H2QQ51_PANTR_9598 and tr_A0A2R9CD42_A0A2R9CD42_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2R3M2_H2R3M2_PANTR_9598 and sp_P16157_ANK1_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2R3M2_H2R3M2_PANTR_9598 and tr_A0A0D9RRD4_A0A0D9RRD4_CHLSB_60711 are exactly identical! WARNING: Sequences tr_H2R3M2_H2R3M2_PANTR_9598 and tr_A0A2R9AEU3_A0A2R9AEU3_PANPA_9597 are exactly identical! WARNING: Sequences tr_F7CR95_F7CR95_MONDO_13616 and tr_G3VYV3_G3VYV3_SARHA_9305 are exactly identical! WARNING: Sequences tr_W5Q672_W5Q672_SHEEP_9940 and tr_D2HEA0_D2HEA0_AILME_9646 are exactly identical! WARNING: Sequences tr_W5Q672_W5Q672_SHEEP_9940 and tr_E1B7G6_E1B7G6_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5Q672_W5Q672_SHEEP_9940 and tr_A0A384BYR1_A0A384BYR1_URSMA_29073 are exactly identical! WARNING: Sequences tr_A0A087ZZ74_A0A087ZZ74_APIME_7460 and tr_A0A2A3EF29_A0A2A3EF29_APICC_94128 are exactly identical! WARNING: Sequences tr_A0A1D5Q9C1_A0A1D5Q9C1_MACMU_9544 and tr_G7PL37_G7PL37_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A1D5Q9C1_A0A1D5Q9C1_MACMU_9544 and tr_A0A0D9RGJ7_A0A0D9RGJ7_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A1D5Q9C1_A0A1D5Q9C1_MACMU_9544 and tr_A0A2K6DYB2_A0A2K6DYB2_MACNE_9545 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_G7P687_G7P687_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_A0A096NYI5_A0A096NYI5_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_A0A0D9S0M9_A0A0D9S0M9_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_A0A2K5MH73_A0A2K5MH73_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_A0A2K6D9V0_A0A2K6D9V0_MACNE_9545 are exactly identical! WARNING: Sequences tr_F7H1K0_F7H1K0_MACMU_9544 and tr_A0A2K5YBY3_A0A2K5YBY3_MANLE_9568 are exactly identical! WARNING: Sequences tr_H0YUA6_H0YUA6_TAEGU_59729 and tr_A0A218UPI7_A0A218UPI7_9PASE_299123 are exactly identical! WARNING: Sequences tr_B4MF25_B4MF25_DROVI_7244 and tr_D0Z7C6_D0Z7C6_DROVI_7244 are exactly identical! WARNING: Sequences tr_G1L9X1_G1L9X1_AILME_9646 and tr_A0A2Y9J2Q3_A0A2Y9J2Q3_ENHLU_391180 are exactly identical! WARNING: Sequences tr_G1L9X1_G1L9X1_AILME_9646 and tr_A0A384CIA2_A0A384CIA2_URSMA_29073 are exactly identical! WARNING: Sequences tr_G7PBR2_G7PBR2_MACFA_9541 and tr_A0A2K5MAP3_A0A2K5MAP3_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7PBR2_G7PBR2_MACFA_9541 and tr_A0A2K6DC65_A0A2K6DC65_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A151MUK7_A0A151MUK7_ALLMI_8496 and tr_A0A3Q0GFI2_A0A3Q0GFI2_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A091J0E4_A0A091J0E4_EGRGA_188379 and tr_A0A091V5K1_A0A091V5K1_NIPNI_128390 are exactly identical! WARNING: Sequences tr_A0A091J0E4_A0A091J0E4_EGRGA_188379 and tr_A0A0A0ATB8_A0A0A0ATB8_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A093QHA6_A0A093QHA6_9PASS_328815 and tr_A0A218UXQ1_A0A218UXQ1_9PASE_299123 are exactly identical! WARNING: Sequences tr_A0A093HMW5_A0A093HMW5_STRCA_441894 and tr_A0A0A0ACY5_A0A0A0ACY5_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A2I0MGU1_A0A2I0MGU1_COLLI_8932 and tr_A0A1V4JUH8_A0A1V4JUH8_PATFA_372326 are exactly identical! WARNING: Sequences tr_A0A0V0S5A0_A0A0V0S5A0_9BILA_6336 and tr_A0A0V1P299_A0A0V1P299_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1D676_A0A0V1D676_TRIBR_45882 and tr_A0A0V0WNA2_A0A0V0WNA2_9BILA_92179 are exactly identical! WARNING: Sequences tr_A0A0V1D676_A0A0V1D676_TRIBR_45882 and tr_A0A0V0VBE4_A0A0V0VBE4_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V1D676_A0A0V1D676_TRIBR_45882 and tr_A0A0V1LCQ3_A0A0V1LCQ3_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V1D676_A0A0V1D676_TRIBR_45882 and tr_A0A0V0ZB57_A0A0V0ZB57_9BILA_990121 are exactly identical! WARNING: Sequences tr_A0A0V1D676_A0A0V1D676_TRIBR_45882 and tr_A0A0V0UDW4_A0A0V0UDW4_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V0XUG8_A0A0V0XUG8_TRIPS_6337 and tr_A0A0V1MSN3_A0A0V1MSN3_9BILA_268474 are exactly identical! WARNING: Sequences tr_A0A0V0XUG8_A0A0V0XUG8_TRIPS_6337 and tr_A0A0V1I0Y3_A0A0V1I0Y3_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A151WHJ1_A0A151WHJ1_9HYME_64791 and tr_A0A195F701_A0A195F701_9HYME_34720 are exactly identical! WARNING: Sequences tr_A0A1D1VBN2_A0A1D1VBN2_RAMVA_947166 and tr_A0A1D1VF84_A0A1D1VF84_RAMVA_947166 are exactly identical! WARNING: Sequences tr_A0A2D0SLF9_A0A2D0SLF9_ICTPU_7998 and tr_A0A2D0SLG3_A0A2D0SLG3_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2K5M793_A0A2K5M793_CERAT_9531 and tr_A0A2K5YVV3_A0A2K5YVV3_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2U4AR11_A0A2U4AR11_TURTR_9739 and tr_A0A2Y9Q3F6_A0A2Y9Q3F6_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A2U4BEB4_A0A2U4BEB4_TURTR_9739 and tr_A0A2Y9M5I2_A0A2Y9M5I2_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A2U4BEB4_A0A2U4BEB4_TURTR_9739 and tr_A0A383Z7Q5_A0A383Z7Q5_BALAS_310752 are exactly identical! WARNING: Sequences tr_A0A2Y9Q3C9_A0A2Y9Q3C9_DELLE_9749 and tr_A0A2Y9F066_A0A2Y9F066_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2Y9Q3C9_A0A2Y9Q3C9_DELLE_9749 and tr_A0A383ZBC3_A0A383ZBC3_BALAS_310752 are exactly identical! WARNING: Duplicate sequences found: 87 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/E5RJM6/3_mltree/E5RJM6.raxml.reduced.phy Alignment comprises 1 partitions and 643 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 643 / 643 Gaps: 13.43 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.rba Parallelization scheme autoconfig: 2 worker(s) x 4 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 / 161 / 12880 [00:00:00] Data distribution: max. searches per worker: 10 Starting ML tree search with 20 distinct starting trees [00:00:00 -1066370.282249] Initial branch length optimization [00:00:05 -865725.131302] Model parameter optimization (eps = 10.000000) [00:01:09 -864424.360436] AUTODETECT spr round 1 (radius: 5) [00:04:01 -591851.972846] AUTODETECT spr round 2 (radius: 10) [00:07:05 -464947.243264] AUTODETECT spr round 3 (radius: 15) [00:10:09 -403955.175568] AUTODETECT spr round 4 (radius: 20) [00:13:46 -362036.567385] AUTODETECT spr round 5 (radius: 25) [00:17:32 -355210.588260] SPR radius for FAST iterations: 25 (autodetect) [00:17:32 -355210.588260] Model parameter optimization (eps = 3.000000) [00:17:54 -354570.691397] FAST spr round 1 (radius: 25) [00:21:51 -331897.535345] FAST spr round 2 (radius: 25) [00:24:51 -330886.620367] FAST spr round 3 (radius: 25) [00:27:24 -330758.759112] FAST spr round 4 (radius: 25) [00:29:46 -330719.633483] FAST spr round 5 (radius: 25) [00:31:59 -330704.265243] FAST spr round 6 (radius: 25) [00:34:06 -330699.368287] FAST spr round 7 (radius: 25) [00:36:07 -330699.367419] Model parameter optimization (eps = 1.000000) [00:36:19 -330691.586806] SLOW spr round 1 (radius: 5) [00:39:08 -330616.173509] SLOW spr round 2 (radius: 5) [00:41:53 -330593.891584] SLOW spr round 3 (radius: 5) [00:44:36 -330585.273496] SLOW spr round 4 (radius: 5) [00:47:10 -330584.059383] SLOW spr round 5 (radius: 5) [00:49:44 -330583.953562] SLOW spr round 6 (radius: 5) [00:52:18 -330583.953543] SLOW spr round 7 (radius: 10) [00:55:08 -330571.078006] SLOW spr round 8 (radius: 5) [00:58:14 -330567.849420] SLOW spr round 9 (radius: 5) [01:01:03 -330567.332292] SLOW spr round 10 (radius: 5) [01:03:44 -330567.332282] SLOW spr round 11 (radius: 10) [01:06:30 -330555.637433] SLOW spr round 12 (radius: 5) [01:09:38 -330543.808444] SLOW spr round 13 (radius: 5) [01:12:28 -330543.108592] SLOW spr round 14 (radius: 5) [01:15:07 -330543.108571] SLOW spr round 15 (radius: 10) [01:17:50 -330543.108570] SLOW spr round 16 (radius: 15) [01:21:53 -330543.038308] SLOW spr round 17 (radius: 20) [01:27:37 -330543.038308] SLOW spr round 18 (radius: 25) [01:35:09 -330543.038308] Model parameter optimization (eps = 0.100000) [01:35:17] [worker #0] ML tree search #1, logLikelihood: -330542.924258 [01:35:17 -1076807.130925] Initial branch length optimization [01:35:22 -868459.566857] Model parameter optimization (eps = 10.000000) [01:36:16 -867314.927840] AUTODETECT spr round 1 (radius: 5) [01:39:03 -596372.613989] AUTODETECT spr round 2 (radius: 10) [01:42:05 -466776.115916] AUTODETECT spr round 3 (radius: 15) [01:45:08 -408323.967845] AUTODETECT spr round 4 (radius: 20) [01:48:39 -369273.673835] AUTODETECT spr round 5 (radius: 25) [01:52:39 -362733.663035] SPR radius for FAST iterations: 25 (autodetect) [01:52:39 -362733.663035] Model parameter optimization (eps = 3.000000) [01:53:02 -362031.533383] FAST spr round 1 (radius: 25) [01:56:57 -332381.131611] FAST spr round 2 (radius: 25) [01:57:59] [worker #1] ML tree search #2, logLikelihood: -330529.302815 [01:59:50 -330886.911238] FAST spr round 3 (radius: 25) [02:02:22 -330720.955779] FAST spr round 4 (radius: 25) [02:04:41 -330679.488383] FAST spr round 5 (radius: 25) [02:06:49 -330673.098316] FAST spr round 6 (radius: 25) [02:08:53 -330670.373923] FAST spr round 7 (radius: 25) [02:10:53 -330670.371496] Model parameter optimization (eps = 1.000000) [02:11:10 -330661.186315] SLOW spr round 1 (radius: 5) [02:13:53 -330557.031235] SLOW spr round 2 (radius: 5) [02:16:40 -330531.844483] SLOW spr round 3 (radius: 5) [02:19:17 -330528.174433] SLOW spr round 4 (radius: 5) [02:21:52 -330526.176729] SLOW spr round 5 (radius: 5) [02:24:29 -330522.565370] SLOW spr round 6 (radius: 5) [02:27:03 -330522.565220] SLOW spr round 7 (radius: 10) [02:29:43 -330521.206901] SLOW spr round 8 (radius: 5) [02:32:52 -330521.206896] SLOW spr round 9 (radius: 10) [02:35:59 -330520.501461] SLOW spr round 10 (radius: 5) [02:39:04 -330520.295526] SLOW spr round 11 (radius: 5) [02:41:53 -330520.295519] SLOW spr round 12 (radius: 10) [02:44:41 -330520.295519] SLOW spr round 13 (radius: 15) [02:48:37 -330520.295511] SLOW spr round 14 (radius: 20) [02:54:20 -330520.295511] SLOW spr round 15 (radius: 25) [03:01:39 -330520.295511] Model parameter optimization (eps = 0.100000) [03:01:51] [worker #0] ML tree search #3, logLikelihood: -330520.086225 [03:01:51 -1074021.898376] Initial branch length optimization [03:01:56 -864595.202667] Model parameter optimization (eps = 10.000000) [03:02:48 -863399.019729] AUTODETECT spr round 1 (radius: 5) [03:05:37 -592250.091384] AUTODETECT spr round 2 (radius: 10) [03:08:43 -477493.765498] AUTODETECT spr round 3 (radius: 15) [03:12:00 -393576.857902] AUTODETECT spr round 4 (radius: 20) [03:15:23 -364462.607431] AUTODETECT spr round 5 (radius: 25) [03:19:08 -361213.720000] SPR radius for FAST iterations: 25 (autodetect) [03:19:08 -361213.720000] Model parameter optimization (eps = 3.000000) [03:19:35 -360477.362765] FAST spr round 1 (radius: 25) [03:23:29 -332135.115951] FAST spr round 2 (radius: 25) [03:26:36 -330991.236330] FAST spr round 3 (radius: 25) [03:29:11 -330863.251838] FAST spr round 4 (radius: 25) [03:31:28 -330845.554215] FAST spr round 5 (radius: 25) [03:33:35 -330842.567238] FAST spr round 6 (radius: 25) [03:35:39 -330840.262831] FAST spr round 7 (radius: 25) [03:37:41 -330836.606248] FAST spr round 8 (radius: 25) [03:38:51] [worker #1] ML tree search #4, logLikelihood: -330494.734432 [03:39:42 -330836.606239] Model parameter optimization (eps = 1.000000) [03:40:01 -330825.440751] SLOW spr round 1 (radius: 5) [03:42:47 -330701.653431] SLOW spr round 2 (radius: 5) [03:45:31 -330669.613121] SLOW spr round 3 (radius: 5) [03:48:10 -330668.110666] SLOW spr round 4 (radius: 5) [03:50:45 -330668.110050] SLOW spr round 5 (radius: 10) [03:53:32 -330652.876195] SLOW spr round 6 (radius: 5) [03:56:47 -330639.001509] SLOW spr round 7 (radius: 5) [03:59:44 -330626.850449] SLOW spr round 8 (radius: 5) [04:02:27 -330626.018454] SLOW spr round 9 (radius: 5) [04:05:07 -330625.838083] SLOW spr round 10 (radius: 5) [04:07:44 -330625.837477] SLOW spr round 11 (radius: 10) [04:10:26 -330624.970774] SLOW spr round 12 (radius: 5) [04:13:35 -330624.970289] SLOW spr round 13 (radius: 10) [04:16:41 -330621.320190] SLOW spr round 14 (radius: 5) [04:19:46 -330621.320136] SLOW spr round 15 (radius: 10) [04:22:48 -330621.320135] SLOW spr round 16 (radius: 15) [04:26:36 -330604.493594] SLOW spr round 17 (radius: 5) [04:29:52 -330604.493350] SLOW spr round 18 (radius: 10) [04:33:09 -330604.493347] SLOW spr round 19 (radius: 15) [04:36:55 -330597.999402] SLOW spr round 20 (radius: 5) [04:40:11 -330597.370534] SLOW spr round 21 (radius: 5) [04:43:08 -330597.370531] SLOW spr round 22 (radius: 10) [04:46:03 -330595.774376] SLOW spr round 23 (radius: 5) [04:49:10 -330595.304125] SLOW spr round 24 (radius: 5) [04:52:01 -330595.300750] SLOW spr round 25 (radius: 10) [04:54:51 -330595.300443] SLOW spr round 26 (radius: 15) [04:58:44 -330583.845558] SLOW spr round 27 (radius: 5) [05:02:04 -330565.934538] SLOW spr round 28 (radius: 5) [05:05:00 -330565.934153] SLOW spr round 29 (radius: 10) [05:07:54 -330564.965039] SLOW spr round 30 (radius: 5) [05:10:58 -330564.965030] SLOW spr round 31 (radius: 10) [05:14:01 -330564.965030] SLOW spr round 32 (radius: 15) [05:17:46 -330564.965030] SLOW spr round 33 (radius: 20) [05:23:26 -330564.965030] SLOW spr round 34 (radius: 25) [05:30:58 -330564.965030] Model parameter optimization (eps = 0.100000) [05:31:18] [worker #0] ML tree search #5, logLikelihood: -330563.521339 [05:31:18 -1064794.153565] Initial branch length optimization [05:31:22 -862322.110743] Model parameter optimization (eps = 10.000000) [05:32:07 -861223.735241] AUTODETECT spr round 1 (radius: 5) [05:33:18] [worker #1] ML tree search #6, logLikelihood: -330512.705615 [05:34:57 -601195.122600] AUTODETECT spr round 2 (radius: 10) [05:37:59 -456428.539290] AUTODETECT spr round 3 (radius: 15) [05:41:05 -388495.024323] AUTODETECT spr round 4 (radius: 20) [05:44:49 -363370.118668] AUTODETECT spr round 5 (radius: 25) [05:49:35 -358183.847891] SPR radius for FAST iterations: 25 (autodetect) [05:49:35 -358183.847891] Model parameter optimization (eps = 3.000000) [05:50:03 -357441.783216] FAST spr round 1 (radius: 25) [05:54:21 -332299.183547] FAST spr round 2 (radius: 25) [05:57:33 -331034.841329] FAST spr round 3 (radius: 25) [06:00:20 -330862.556317] FAST spr round 4 (radius: 25) [06:02:51 -330841.744937] FAST spr round 5 (radius: 25) [06:05:12 -330817.091821] FAST spr round 6 (radius: 25) [06:07:18 -330814.655454] FAST spr round 7 (radius: 25) [06:09:22 -330812.816007] FAST spr round 8 (radius: 25) [06:11:24 -330811.584892] FAST spr round 9 (radius: 25) [06:13:24 -330811.582883] Model parameter optimization (eps = 1.000000) [06:13:41 -330804.805409] SLOW spr round 1 (radius: 5) [06:16:35 -330682.611658] SLOW spr round 2 (radius: 5) [06:19:17 -330671.993185] SLOW spr round 3 (radius: 5) [06:21:52 -330670.805916] SLOW spr round 4 (radius: 5) [06:24:25 -330670.805902] SLOW spr round 5 (radius: 10) [06:27:12 -330654.462207] SLOW spr round 6 (radius: 5) [06:30:27 -330647.620536] SLOW spr round 7 (radius: 5) [06:33:19 -330646.860304] SLOW spr round 8 (radius: 5) [06:36:00 -330646.860297] SLOW spr round 9 (radius: 10) [06:38:44 -330646.860293] SLOW spr round 10 (radius: 15) [06:42:50 -330645.482846] SLOW spr round 11 (radius: 5) [06:46:05 -330645.482846] SLOW spr round 12 (radius: 10) [06:49:21 -330645.482844] SLOW spr round 13 (radius: 15) [06:53:16 -330645.482844] SLOW spr round 14 (radius: 20) [06:59:25 -330637.784384] SLOW spr round 15 (radius: 5) [07:02:42 -330637.784331] SLOW spr round 16 (radius: 10) [07:06:04 -330637.784331] SLOW spr round 17 (radius: 15) [07:09:58 -330637.784331] SLOW spr round 18 (radius: 20) [07:16:06 -330637.784331] SLOW spr round 19 (radius: 25) [07:24:19 -330637.784331] Model parameter optimization (eps = 0.100000) [07:24:28] [worker #0] ML tree search #7, logLikelihood: -330637.685484 [07:24:28 -1075658.588840] Initial branch length optimization [07:24:33 -872510.001812] Model parameter optimization (eps = 10.000000) [07:25:24 -871284.329333] AUTODETECT spr round 1 (radius: 5) [07:28:12 -588631.294485] AUTODETECT spr round 2 (radius: 10) [07:31:11 -461588.698272] AUTODETECT spr round 3 (radius: 15) [07:34:08 -398909.582557] AUTODETECT spr round 4 (radius: 20) [07:37:32 -373958.854798] AUTODETECT spr round 5 (radius: 25) [07:37:52] [worker #1] ML tree search #8, logLikelihood: -330588.606917 [07:41:18 -364090.817232] SPR radius for FAST iterations: 25 (autodetect) [07:41:18 -364090.817232] Model parameter optimization (eps = 3.000000) [07:41:46 -363449.373631] FAST spr round 1 (radius: 25) [07:45:44 -332604.456808] FAST spr round 2 (radius: 25) [07:48:36 -331163.920956] FAST spr round 3 (radius: 25) [07:51:13 -330849.086440] FAST spr round 4 (radius: 25) [07:53:39 -330799.403402] FAST spr round 5 (radius: 25) [07:55:51 -330731.160940] FAST spr round 6 (radius: 25) [07:57:57 -330723.404503] FAST spr round 7 (radius: 25) [07:59:58 -330723.403659] Model parameter optimization (eps = 1.000000) [08:00:15 -330715.638581] SLOW spr round 1 (radius: 5) [08:03:01 -330632.901632] SLOW spr round 2 (radius: 5) [08:05:46 -330619.445731] SLOW spr round 3 (radius: 5) [08:08:23 -330614.221899] SLOW spr round 4 (radius: 5) [08:10:58 -330614.221826] SLOW spr round 5 (radius: 10) [08:13:41 -330599.754358] SLOW spr round 6 (radius: 5) [08:16:53 -330594.879233] SLOW spr round 7 (radius: 5) [08:19:48 -330589.083742] SLOW spr round 8 (radius: 5) [08:22:32 -330588.885725] SLOW spr round 9 (radius: 5) [08:25:11 -330588.470324] SLOW spr round 10 (radius: 5) [08:27:47 -330588.470321] SLOW spr round 11 (radius: 10) [08:30:28 -330587.548034] SLOW spr round 12 (radius: 5) [08:33:37 -330580.575599] SLOW spr round 13 (radius: 5) [08:36:28 -330580.575582] SLOW spr round 14 (radius: 10) [08:39:18 -330580.575582] SLOW spr round 15 (radius: 15) [08:43:20 -330577.547007] SLOW spr round 16 (radius: 5) [08:46:36 -330576.559731] SLOW spr round 17 (radius: 5) [08:49:32 -330576.559666] SLOW spr round 18 (radius: 10) [08:52:26 -330576.559657] SLOW spr round 19 (radius: 15) [08:56:24 -330576.559657] SLOW spr round 20 (radius: 20) [09:02:27 -330576.559657] SLOW spr round 21 (radius: 25) [09:10:38 -330576.559657] Model parameter optimization (eps = 0.100000) [09:10:47] [worker #0] ML tree search #9, logLikelihood: -330576.422206 [09:10:47 -1065128.151562] Initial branch length optimization [09:10:52 -858852.700962] Model parameter optimization (eps = 10.000000) [09:11:35 -857788.978306] AUTODETECT spr round 1 (radius: 5) [09:14:25 -602355.351064] AUTODETECT spr round 2 (radius: 10) [09:17:27 -449770.279213] AUTODETECT spr round 3 (radius: 15) [09:20:27 -404119.645196] AUTODETECT spr round 4 (radius: 20) [09:23:51 -364908.356459] AUTODETECT spr round 5 (radius: 25) [09:27:29] [worker #1] ML tree search #10, logLikelihood: -330557.807133 [09:27:50 -361302.815118] SPR radius for FAST iterations: 25 (autodetect) [09:27:50 -361302.815118] Model parameter optimization (eps = 3.000000) [09:28:14 -360595.051203] FAST spr round 1 (radius: 25) [09:32:04 -333307.733913] FAST spr round 2 (radius: 25) [09:35:04 -330979.864818] FAST spr round 3 (radius: 25) [09:37:39 -330772.168994] FAST spr round 4 (radius: 25) [09:40:03 -330731.062119] FAST spr round 5 (radius: 25) [09:42:12 -330729.201270] FAST spr round 6 (radius: 25) [09:44:19 -330726.553280] FAST spr round 7 (radius: 25) [09:46:21 -330726.552565] Model parameter optimization (eps = 1.000000) [09:46:37 -330719.306401] SLOW spr round 1 (radius: 5) [09:49:26 -330638.794750] SLOW spr round 2 (radius: 5) [09:52:09 -330619.203845] SLOW spr round 3 (radius: 5) [09:54:49 -330616.101148] SLOW spr round 4 (radius: 5) [09:57:26 -330616.100616] SLOW spr round 5 (radius: 10) [10:00:14 -330609.074838] SLOW spr round 6 (radius: 5) [10:03:25 -330603.142164] SLOW spr round 7 (radius: 5) [10:06:18 -330602.073862] SLOW spr round 8 (radius: 5) [10:09:01 -330602.073475] SLOW spr round 9 (radius: 10) [10:11:47 -330602.073455] SLOW spr round 10 (radius: 15) [10:15:49 -330598.686422] SLOW spr round 11 (radius: 5) [10:19:04 -330598.686266] SLOW spr round 12 (radius: 10) [10:22:24 -330598.686261] SLOW spr round 13 (radius: 15) [10:26:14 -330598.686261] SLOW spr round 14 (radius: 20) [10:32:09 -330598.686261] SLOW spr round 15 (radius: 25) [10:39:51 -330598.686261] Model parameter optimization (eps = 0.100000) [10:40:03] [worker #0] ML tree search #11, logLikelihood: -330598.147151 [10:40:04 -1071409.429776] Initial branch length optimization [10:40:09 -872140.511481] Model parameter optimization (eps = 10.000000) [10:41:18 -870936.597541] AUTODETECT spr round 1 (radius: 5) [10:44:07 -595628.639615] AUTODETECT spr round 2 (radius: 10) [10:47:13 -458088.770519] AUTODETECT spr round 3 (radius: 15) [10:50:21 -387982.285639] AUTODETECT spr round 4 (radius: 20) [10:53:48 -360943.343187] AUTODETECT spr round 5 (radius: 25) [10:57:45 -356174.125816] SPR radius for FAST iterations: 25 (autodetect) [10:57:45 -356174.125816] Model parameter optimization (eps = 3.000000) [10:58:09 -355513.498006] FAST spr round 1 (radius: 25) [11:01:52 -331871.274400] FAST spr round 2 (radius: 25) [11:04:48 -330867.006929] FAST spr round 3 (radius: 25) [11:07:22 -330716.900915] FAST spr round 4 (radius: 25) [11:09:43 -330700.193752] FAST spr round 5 (radius: 25) [11:11:51 -330695.499935] FAST spr round 6 (radius: 25) [11:13:54 -330695.497963] Model parameter optimization (eps = 1.000000) [11:14:11 -330688.397448] SLOW spr round 1 (radius: 5) [11:16:58 -330596.420601] SLOW spr round 2 (radius: 5) [11:17:30] [worker #1] ML tree search #12, logLikelihood: -330518.242222 [11:19:45 -330577.381256] SLOW spr round 3 (radius: 5) [11:22:27 -330565.826189] SLOW spr round 4 (radius: 5) [11:25:04 -330565.031932] SLOW spr round 5 (radius: 5) [11:27:39 -330565.031929] SLOW spr round 6 (radius: 10) [11:30:21 -330561.233738] SLOW spr round 7 (radius: 5) [11:33:33 -330557.468706] SLOW spr round 8 (radius: 5) [11:36:25 -330557.468347] SLOW spr round 9 (radius: 10) [11:39:15 -330557.468322] SLOW spr round 10 (radius: 15) [11:43:17 -330555.325309] SLOW spr round 11 (radius: 5) [11:46:38 -330543.485145] SLOW spr round 12 (radius: 5) [11:49:40 -330531.382162] SLOW spr round 13 (radius: 5) [11:52:25 -330531.381789] SLOW spr round 14 (radius: 10) [11:55:08 -330531.381781] SLOW spr round 15 (radius: 15) [11:59:12 -330531.381780] SLOW spr round 16 (radius: 20) [12:05:07 -330528.819244] SLOW spr round 17 (radius: 5) [12:08:26 -330528.034450] SLOW spr round 18 (radius: 5) [12:11:24 -330528.034358] SLOW spr round 19 (radius: 10) [12:14:18 -330528.034355] SLOW spr round 20 (radius: 15) [12:18:15 -330528.034355] SLOW spr round 21 (radius: 20) [12:24:12 -330528.034355] SLOW spr round 22 (radius: 25) [12:31:45 -330528.034355] Model parameter optimization (eps = 0.100000) [12:31:55] [worker #0] ML tree search #13, logLikelihood: -330527.720559 [12:31:55 -1073400.443132] Initial branch length optimization [12:31:59 -863898.064849] Model parameter optimization (eps = 10.000000) [12:32:47 -862413.940849] AUTODETECT spr round 1 (radius: 5) [12:35:37 -590474.186258] AUTODETECT spr round 2 (radius: 10) [12:38:38 -449799.978832] AUTODETECT spr round 3 (radius: 15) [12:41:45 -381975.886217] AUTODETECT spr round 4 (radius: 20) [12:44:56 -359021.492204] AUTODETECT spr round 5 (radius: 25) [12:48:58 -355731.120187] SPR radius for FAST iterations: 25 (autodetect) [12:48:58 -355731.120187] Model parameter optimization (eps = 3.000000) [12:49:21 -355078.215380] FAST spr round 1 (radius: 25) [12:53:27 -331600.252575] FAST spr round 2 (radius: 25) [12:56:35 -330861.559937] FAST spr round 3 (radius: 25) [12:59:18 -330730.594315] FAST spr round 4 (radius: 25) [13:01:51 -330684.420088] FAST spr round 5 (radius: 25) [13:04:02 -330659.873707] FAST spr round 6 (radius: 25) [13:06:07 -330659.871147] Model parameter optimization (eps = 1.000000) [13:06:23 -330648.351932] SLOW spr round 1 (radius: 5) [13:09:14 -330586.384511] SLOW spr round 2 (radius: 5) [13:12:00 -330569.553899] SLOW spr round 3 (radius: 5) [13:14:41 -330561.656033] SLOW spr round 4 (radius: 5) [13:17:17 -330561.655215] SLOW spr round 5 (radius: 10) [13:19:58 -330558.548675] SLOW spr round 6 (radius: 5) [13:23:15 -330554.247056] SLOW spr round 7 (radius: 5) [13:26:06 -330554.246138] SLOW spr round 8 (radius: 10) [13:28:55 -330554.246019] SLOW spr round 9 (radius: 15) [13:32:45 -330554.246004] SLOW spr round 10 (radius: 20) [13:38:32 -330554.246003] SLOW spr round 11 (radius: 25) [13:43:08] [worker #1] ML tree search #14, logLikelihood: -330596.081285 [13:45:56 -330554.246002] Model parameter optimization (eps = 0.100000) [13:46:07] [worker #0] ML tree search #15, logLikelihood: -330553.757649 [13:46:07 -1080554.230608] Initial branch length optimization [13:46:12 -870102.359036] Model parameter optimization (eps = 10.000000) [13:47:05 -868935.742609] AUTODETECT spr round 1 (radius: 5) [13:49:59 -610665.900252] AUTODETECT spr round 2 (radius: 10) [13:53:04 -472563.783985] AUTODETECT spr round 3 (radius: 15) [13:56:06 -403630.468292] AUTODETECT spr round 4 (radius: 20) [13:59:40 -365040.782791] AUTODETECT spr round 5 (radius: 25) [14:03:35 -361116.926167] SPR radius for FAST iterations: 25 (autodetect) [14:03:35 -361116.926167] Model parameter optimization (eps = 3.000000) [14:04:00 -360502.209715] FAST spr round 1 (radius: 25) [14:07:55 -331829.844495] FAST spr round 2 (radius: 25) [14:10:50 -330951.714966] FAST spr round 3 (radius: 25) [14:13:24 -330766.114391] FAST spr round 4 (radius: 25) [14:15:48 -330723.131039] FAST spr round 5 (radius: 25) [14:17:57 -330722.802488] FAST spr round 6 (radius: 25) [14:20:01 -330722.800037] Model parameter optimization (eps = 1.000000) [14:20:19 -330704.315790] SLOW spr round 1 (radius: 5) [14:23:06 -330620.250910] SLOW spr round 2 (radius: 5) [14:25:51 -330609.652553] SLOW spr round 3 (radius: 5) [14:28:28 -330609.072050] SLOW spr round 4 (radius: 5) [14:31:03 -330609.071989] SLOW spr round 5 (radius: 10) [14:33:43 -330609.007151] SLOW spr round 6 (radius: 15) [14:37:49 -330602.872288] SLOW spr round 7 (radius: 5) [14:41:06 -330600.307959] SLOW spr round 8 (radius: 5) [14:44:00 -330600.307925] SLOW spr round 9 (radius: 10) [14:46:53 -330599.063595] SLOW spr round 10 (radius: 5) [14:49:58 -330599.063492] SLOW spr round 11 (radius: 10) [14:53:00 -330599.063489] SLOW spr round 12 (radius: 15) [14:56:52 -330599.063489] SLOW spr round 13 (radius: 20) [15:02:29 -330599.063489] SLOW spr round 14 (radius: 25) [15:09:37 -330599.063488] Model parameter optimization (eps = 0.100000) [15:09:54] [worker #0] ML tree search #17, logLikelihood: -330598.557049 [15:09:54 -1067301.254797] Initial branch length optimization [15:09:59 -865934.011056] Model parameter optimization (eps = 10.000000) [15:10:47 -864742.534580] AUTODETECT spr round 1 (radius: 5) [15:13:38 -595842.360162] AUTODETECT spr round 2 (radius: 10) [15:16:38 -465198.207987] AUTODETECT spr round 3 (radius: 15) [15:19:51 -387884.119417] AUTODETECT spr round 4 (radius: 20) [15:23:14 -360336.731200] AUTODETECT spr round 5 (radius: 25) [15:27:00 -355325.339843] SPR radius for FAST iterations: 25 (autodetect) [15:27:00 -355325.339843] Model parameter optimization (eps = 3.000000) [15:27:28 -354623.635349] FAST spr round 1 (radius: 25) [15:31:25 -331984.621997] FAST spr round 2 (radius: 25) [15:32:57] [worker #1] ML tree search #16, logLikelihood: -330541.429915 [15:34:18 -330888.145485] FAST spr round 3 (radius: 25) [15:36:50 -330783.172305] FAST spr round 4 (radius: 25) [15:39:09 -330757.961191] FAST spr round 5 (radius: 25) [15:41:18 -330748.403791] FAST spr round 6 (radius: 25) [15:43:23 -330745.732058] FAST spr round 7 (radius: 25) [15:45:25 -330745.732020] Model parameter optimization (eps = 1.000000) [15:45:44 -330740.172144] SLOW spr round 1 (radius: 5) [15:48:41 -330626.987783] SLOW spr round 2 (radius: 5) [15:51:27 -330603.622859] SLOW spr round 3 (radius: 5) [15:54:06 -330596.952588] SLOW spr round 4 (radius: 5) [15:56:45 -330588.426516] SLOW spr round 5 (radius: 5) [15:59:20 -330588.423678] SLOW spr round 6 (radius: 10) [16:02:04 -330579.226021] SLOW spr round 7 (radius: 5) [16:05:14 -330577.070191] SLOW spr round 8 (radius: 5) [16:08:06 -330577.070032] SLOW spr round 9 (radius: 10) [16:11:03 -330556.761492] SLOW spr round 10 (radius: 5) [16:14:13 -330549.183238] SLOW spr round 11 (radius: 5) [16:17:02 -330549.182973] SLOW spr round 12 (radius: 10) [16:19:57 -330549.182851] SLOW spr round 13 (radius: 15) [16:24:06 -330544.483707] SLOW spr round 14 (radius: 5) [16:27:23 -330540.490580] SLOW spr round 15 (radius: 5) [16:30:19 -330540.490577] SLOW spr round 16 (radius: 10) [16:33:16 -330540.490574] SLOW spr round 17 (radius: 15) [16:37:11 -330540.490574] SLOW spr round 18 (radius: 20) [16:43:08 -330538.271922] SLOW spr round 19 (radius: 5) [16:46:26 -330538.271798] SLOW spr round 20 (radius: 10) [16:49:50 -330538.271796] SLOW spr round 21 (radius: 15) [16:53:38 -330538.271796] SLOW spr round 22 (radius: 20) [16:59:36 -330538.271796] SLOW spr round 23 (radius: 25) [17:02:58] [worker #1] ML tree search #18, logLikelihood: -330559.226563 [17:07:08 -330538.271796] Model parameter optimization (eps = 0.100000) [17:07:18] [worker #0] ML tree search #19, logLikelihood: -330537.918681 [18:45:23] [worker #1] ML tree search #20, logLikelihood: -330587.549353 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.142217,0.440507) (0.170757,0.431763) (0.395678,0.979285) (0.291348,1.634280) 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: -330494.734432 AIC score: 664999.468865 / AICc score: 8709059.468865 / BIC score: 673954.089037 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=643). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 163 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.bestTreeCollapsed Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/E5RJM6/3_mltree/E5RJM6.raxml.log Analysis started: 11-Jul-2021 14:06:04 / finished: 12-Jul-2021 08:51:28 Elapsed time: 67524.105 seconds