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 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM RAxML-NG was called at 01-Jul-2021 19:32:11 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/2_msa/Q16819_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819 --seed 2 --threads 3 --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 (3 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/2_msa/Q16819_trimmed_msa.fasta [00:00:00] Loaded alignment with 999 taxa and 165 sites WARNING: Sequences tr_Q9VWR6_Q9VWR6_DROME_7227 and tr_B4I6V5_B4I6V5_DROSE_7238 are exactly identical! WARNING: Sequences tr_Q9VWR6_Q9VWR6_DROME_7227 and tr_A0A1W4UQR9_A0A1W4UQR9_DROFC_30025 are exactly identical! WARNING: Sequences tr_H2MIY0_H2MIY0_ORYLA_8090 and sp_P31580_HCE1_ORYLA_8090 are exactly identical! WARNING: Sequences tr_H2MJ03_H2MJ03_ORYLA_8090 and tr_H2MJ15_H2MJ15_ORYLA_8090 are exactly identical! WARNING: Sequences tr_G1R3K9_G1R3K9_NOMLE_61853 and tr_H2NW53_H2NW53_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3QXC6_G3QXC6_GORGO_9595 and tr_A0A2R9A355_A0A2R9A355_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3R9B1_G3R9B1_GORGO_9595 and tr_H2QIC4_H2QIC4_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3R9B1_G3R9B1_GORGO_9595 and tr_A0A2R9AP69_A0A2R9AP69_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3SF75_G3SF75_GORGO_9595 and tr_A0A2I3SW10_A0A2I3SW10_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3SF75_G3SF75_GORGO_9595 and sp_Q16820_MEP1B_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3SF75_G3SF75_GORGO_9595 and tr_A0A2R8ZFM8_A0A2R8ZFM8_PANPA_9597 are exactly identical! WARNING: Sequences tr_Q29FZ0_Q29FZ0_DROPS_46245 and tr_B4H7F8_B4H7F8_DROPE_7234 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_G0N9F4_G0N9F4_CAEBE_135651 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_E3LQC5_E3LQC5_CAERE_31234 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_A8XH72_A8XH72_CAEBR_6238 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_A0A1I7T0X6_A0A1I7T0X6_9PELO_1561998 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_A0A261C0N4_A0A261C0N4_9PELO_1503980 are exactly identical! WARNING: Sequences sp_P55113_NAS7_CAEEL_6239 and tr_A0A2G5V0W4_A0A2G5V0W4_9PELO_1611254 are exactly identical! WARNING: Sequences tr_A0A0H5S622_A0A0H5S622_BRUMA_6279 and tr_A0A0N4TTN4_A0A0N4TTN4_BRUPA_6280 are exactly identical! WARNING: Sequences tr_A0A0J9XQE3_A0A0J9XQE3_BRUMA_6279 and tr_A0A0N4TKY1_A0A0N4TKY1_BRUPA_6280 are exactly identical! WARNING: Sequences tr_A0A1D5R4Q1_A0A1D5R4Q1_MACMU_9544 and tr_G7PWL4_G7PWL4_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A1D5R4Q1_A0A1D5R4Q1_MACMU_9544 and tr_A0A2K5LY60_A0A2K5LY60_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1D5R4Q1_A0A1D5R4Q1_MACMU_9544 and tr_A0A2K6DGV2_A0A2K6DGV2_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5R4Q1_A0A1D5R4Q1_MACMU_9544 and tr_A0A2K5XG68_A0A2K5XG68_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A1D5R5Y0_A0A1D5R5Y0_MACMU_9544 and tr_G7P4S4_G7P4S4_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A1D5R5Y0_A0A1D5R5Y0_MACMU_9544 and tr_A0A096NIV6_A0A096NIV6_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5R5Y0_A0A1D5R5Y0_MACMU_9544 and tr_A0A2K5NX79_A0A2K5NX79_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1D5R5Y0_A0A1D5R5Y0_MACMU_9544 and tr_A0A2K6DSZ9_A0A2K6DSZ9_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5R5Y0_A0A1D5R5Y0_MACMU_9544 and tr_A0A2K5ZMN8_A0A2K5ZMN8_MANLE_9568 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V0S4V6_A0A0V0S4V6_9BILA_6336 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V1CX07_A0A0V1CX07_TRIBR_45882 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V0W8U0_A0A0V0W8U0_9BILA_92179 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V0V2S7_A0A0V0V2S7_9BILA_181606 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V1LCY3_A0A0V1LCY3_9BILA_6335 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V1A9L4_A0A0V1A9L4_9BILA_990121 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V0Y3W1_A0A0V0Y3W1_TRIPS_6337 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V1P3V2_A0A0V1P3V2_9BILA_92180 are exactly identical! WARNING: Sequences tr_E5S2V0_E5S2V0_TRISP_6334 and tr_A0A0V1HDT6_A0A0V1HDT6_9BILA_268475 are exactly identical! WARNING: Sequences tr_H3BVJ4_H3BVJ4_TETNG_99883 and tr_H3CZP0_H3CZP0_TETNG_99883 are exactly identical! WARNING: Sequences tr_G0P4C9_G0P4C9_CAEBE_135651 and tr_A8X1N9_A8X1N9_CAEBR_6238 are exactly identical! WARNING: Sequences tr_G0P4C9_G0P4C9_CAEBE_135651 and tr_A0A1I7V086_A0A1I7V086_9PELO_1561998 are exactly identical! WARNING: Sequences tr_G0P4C9_G0P4C9_CAEBE_135651 and tr_A0A2G5U2Y5_A0A2G5U2Y5_9PELO_1611254 are exactly identical! WARNING: Sequences tr_E3LWY0_E3LWY0_CAERE_31234 and tr_A8XW50_A8XW50_CAEBR_6238 are exactly identical! WARNING: Sequences tr_E3LWY0_E3LWY0_CAERE_31234 and tr_A0A2G5URR1_A0A2G5URR1_9PELO_1611254 are exactly identical! WARNING: Sequences tr_E3M6C1_E3M6C1_CAERE_31234 and tr_E3NSL9_E3NSL9_CAERE_31234 are exactly identical! WARNING: Sequences tr_E3M6C1_E3M6C1_CAERE_31234 and tr_A8WQR4_A8WQR4_CAEBR_6238 are exactly identical! WARNING: Sequences tr_E3M6C1_E3M6C1_CAERE_31234 and tr_A0A1I7TE85_A0A1I7TE85_9PELO_1561998 are exactly identical! WARNING: Sequences tr_E3M6C1_E3M6C1_CAERE_31234 and tr_A0A2G5U640_A0A2G5U640_9PELO_1611254 are exactly identical! WARNING: Sequences tr_E3M731_E3M731_CAERE_31234 and tr_E3NRM4_E3NRM4_CAERE_31234 are exactly identical! WARNING: Sequences tr_E3MA69_E3MA69_CAERE_31234 and tr_A0A261CIY2_A0A261CIY2_9PELO_1503980 are exactly identical! WARNING: Sequences tr_E3MCE6_E3MCE6_CAERE_31234 and tr_A0A261CNN6_A0A261CNN6_9PELO_1503980 are exactly identical! WARNING: Sequences tr_E3MKB8_E3MKB8_CAERE_31234 and tr_A0A260ZQ28_A0A260ZQ28_9PELO_1503980 are exactly identical! WARNING: Sequences tr_A8X498_A8X498_CAEBR_6238 and tr_A0A2G5T0U4_A0A2G5T0U4_9PELO_1611254 are exactly identical! WARNING: Sequences tr_A8X5U8_A8X5U8_CAEBR_6238 and tr_A0A2G5SJF1_A0A2G5SJF1_9PELO_1611254 are exactly identical! WARNING: Sequences tr_A0A044TI33_A0A044TI33_ONCVO_6282 and tr_A0A182DWK7_A0A182DWK7_ONCOC_42157 are exactly identical! WARNING: Sequences tr_A0A044V720_A0A044V720_ONCVO_6282 and tr_A0A182EE40_A0A182EE40_ONCOC_42157 are exactly identical! WARNING: Sequences tr_A0A0K0F6U6_A0A0K0F6U6_STRVS_75913 and tr_A0A0N5BFK0_A0A0N5BFK0_STREA_174720 are exactly identical! WARNING: Sequences tr_A0A0K0DZG0_A0A0K0DZG0_STRER_6248 and tr_A0A090LNF9_A0A090LNF9_STRRB_34506 are exactly identical! WARNING: Sequences tr_A0A151MBA0_A0A151MBA0_ALLMI_8496 and tr_A0A3Q0H1R1_A0A3Q0H1R1_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A0V0REX3_A0A0V0REX3_9BILA_6336 and tr_A0A0V1C9I1_A0A0V1C9I1_TRIBR_45882 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V1CCQ2_A0A0V1CCQ2_TRIBR_45882 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V0W5B7_A0A0V0W5B7_9BILA_92179 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V0V7Y8_A0A0V0V7Y8_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V1L9I6_A0A0V1L9I6_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V0ZBD2_A0A0V0ZBD2_9BILA_990121 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V1NMU8_A0A0V1NMU8_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V0RGU8_A0A0V0RGU8_9BILA_6336 and tr_A0A0V0TFK8_A0A0V0TFK8_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V0SMJ9_A0A0V0SMJ9_9BILA_6336 and tr_A0A0V1CUX2_A0A0V1CUX2_TRIBR_45882 are exactly identical! WARNING: Sequences tr_A0A0V0SMJ9_A0A0V0SMJ9_9BILA_6336 and tr_A0A0V0VTS1_A0A0V0VTS1_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V0SMJ9_A0A0V0SMJ9_9BILA_6336 and tr_A0A0V1LA16_A0A0V1LA16_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V0SMJ9_A0A0V0SMJ9_9BILA_6336 and tr_A0A0V1P5D3_A0A0V1P5D3_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V0SMJ9_A0A0V0SMJ9_9BILA_6336 and tr_A0A0V0U4Q5_A0A0V0U4Q5_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1D319_A0A0V1D319_TRIBR_45882 and tr_A0A0V0WKZ1_A0A0V0WKZ1_9BILA_92179 are exactly identical! WARNING: Sequences tr_A0A0V1D319_A0A0V1D319_TRIBR_45882 and tr_A0A0V1LTR3_A0A0V1LTR3_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V1D319_A0A0V1D319_TRIBR_45882 and tr_A0A0V0TJW9_A0A0V0TJW9_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V0VW22_A0A0V0VW22_9BILA_181606 and tr_A0A0V1NU94_A0A0V1NU94_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1MQ79_A0A0V1MQ79_9BILA_268474 and tr_A0A0V1HBG4_A0A0V1HBG4_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A0V1MT30_A0A0V1MT30_9BILA_268474 and tr_A0A0V1HGS6_A0A0V1HGS6_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A1S3MA64_A0A1S3MA64_SALSA_8030 and tr_A0A060WVI5_A0A060WVI5_ONCMY_8022 are exactly identical! WARNING: Sequences tr_A0A1S3MAS1_A0A1S3MAS1_SALSA_8030 and tr_A0A060WW00_A0A060WW00_ONCMY_8022 are exactly identical! WARNING: Sequences tr_A0A1I7T9T9_A0A1I7T9T9_9PELO_1561998 and tr_A0A1I7T9U0_A0A1I7T9U0_9PELO_1561998 are exactly identical! WARNING: Sequences tr_A0A1I7U7H0_A0A1I7U7H0_9PELO_1561998 and tr_A0A1I7U7H1_A0A1I7U7H1_9PELO_1561998 are exactly identical! WARNING: Sequences tr_A0A1I7V6M9_A0A1I7V6M9_LOALO_7209 and tr_A0A1I7VEX2_A0A1I7VEX2_LOALO_7209 are exactly identical! WARNING: Sequences tr_A0A1I7V6N3_A0A1I7V6N3_LOALO_7209 and tr_A0A1I7V6N4_A0A1I7V6N4_LOALO_7209 are exactly identical! WARNING: Sequences tr_A0A226MCY4_A0A226MCY4_CALSU_9009 and tr_A0A226MF21_A0A226MF21_CALSU_9009 are exactly identical! WARNING: Sequences tr_A0A226MXW9_A0A226MXW9_CALSU_9009 and tr_A0A226PQ68_A0A226PQ68_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2A2L0R7_A0A2A2L0R7_9BILA_2018661 and tr_A0A2A2LBP3_A0A2A2LBP3_9BILA_2018661 are exactly identical! WARNING: Sequences tr_A0A2D0QAB4_A0A2D0QAB4_ICTPU_7998 and tr_W5UM60_W5UM60_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2K5L2C8_A0A2K5L2C8_CERAT_9531 and tr_A0A2K6AEY6_A0A2K6AEY6_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2U9BDB3_A0A2U9BDB3_SCOMX_52904 and tr_A0A2U9BDJ0_A0A2U9BDJ0_SCOMX_52904 are exactly identical! WARNING: Duplicate sequences found: 90 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.reduced.phy Alignment comprises 1 partitions and 165 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 165 / 165 Gaps: 2.10 % Invariant sites: 0.61 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.rba Parallelization scheme autoconfig: 3 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 999 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 165 / 13200 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -276059.130967] Initial branch length optimization [00:00:04 -240006.943043] Model parameter optimization (eps = 10.000000) [00:00:46 -239300.931029] AUTODETECT spr round 1 (radius: 5) [00:03:16 -188015.057616] AUTODETECT spr round 2 (radius: 10) [00:06:13 -140379.941315] AUTODETECT spr round 3 (radius: 15) [00:09:24 -117346.832558] AUTODETECT spr round 4 (radius: 20) [00:13:33 -108341.628534] AUTODETECT spr round 5 (radius: 25) [00:18:18 -107603.266351] SPR radius for FAST iterations: 25 (autodetect) [00:18:18 -107603.266351] Model parameter optimization (eps = 3.000000) [00:18:27 -107598.946886] FAST spr round 1 (radius: 25) [00:22:03 -96502.797963] FAST spr round 2 (radius: 25) [00:24:42 -95885.368919] FAST spr round 3 (radius: 25) [00:26:57 -95830.546238] FAST spr round 4 (radius: 25) [00:28:55 -95820.985556] FAST spr round 5 (radius: 25) [00:30:46 -95818.247756] FAST spr round 6 (radius: 25) [00:32:33 -95818.247678] Model parameter optimization (eps = 1.000000) [00:32:49 -95798.042718] SLOW spr round 1 (radius: 5) [00:35:22 -95758.102367] SLOW spr round 2 (radius: 5) [00:37:48 -95746.962364] SLOW spr round 3 (radius: 5) [00:40:09 -95744.432414] SLOW spr round 4 (radius: 5) [00:42:25 -95744.430900] SLOW spr round 5 (radius: 10) [00:44:42 -95741.481446] SLOW spr round 6 (radius: 5) [00:47:36 -95736.123757] SLOW spr round 7 (radius: 5) [00:50:16 -95727.609426] SLOW spr round 8 (radius: 5) [00:52:39 -95727.609276] SLOW spr round 9 (radius: 10) [00:54:58 -95727.506458] SLOW spr round 10 (radius: 5) [00:57:47 -95725.704780] SLOW spr round 11 (radius: 5) [01:00:17 -95725.704675] SLOW spr round 12 (radius: 10) [01:02:37 -95725.704672] SLOW spr round 13 (radius: 15) [01:06:59 -95725.704670] SLOW spr round 14 (radius: 20) [01:13:32 -95725.704668] SLOW spr round 15 (radius: 25) [01:15:30] [worker #2] ML tree search #3, logLikelihood: -95721.782524 [01:21:18 -95725.704666] Model parameter optimization (eps = 0.100000) [01:21:37] [worker #0] ML tree search #1, logLikelihood: -95722.867846 [01:21:37 -277029.891158] Initial branch length optimization [01:21:40 -240503.981757] Model parameter optimization (eps = 10.000000) [01:22:19 -239689.939486] AUTODETECT spr round 1 (radius: 5) [01:24:49 -191748.228383] AUTODETECT spr round 2 (radius: 10) [01:27:54 -141543.740228] AUTODETECT spr round 3 (radius: 15) [01:30:58 -117248.237502] AUTODETECT spr round 4 (radius: 20) [01:35:11] [worker #1] ML tree search #2, logLikelihood: -95717.679829 [01:35:11 -109575.638254] AUTODETECT spr round 5 (radius: 25) [01:39:49 -108842.365997] SPR radius for FAST iterations: 25 (autodetect) [01:39:49 -108842.365997] Model parameter optimization (eps = 3.000000) [01:40:06 -108791.894137] FAST spr round 1 (radius: 25) [01:43:44 -96595.899241] FAST spr round 2 (radius: 25) [01:46:25 -95897.591934] FAST spr round 3 (radius: 25) [01:48:40 -95822.195020] FAST spr round 4 (radius: 25) [01:50:42 -95803.506710] FAST spr round 5 (radius: 25) [01:52:32 -95802.228005] FAST spr round 6 (radius: 25) [01:54:18 -95802.225117] Model parameter optimization (eps = 1.000000) [01:54:35 -95800.742980] SLOW spr round 1 (radius: 5) [01:57:01 -95765.980744] SLOW spr round 2 (radius: 5) [01:59:24 -95759.089497] SLOW spr round 3 (radius: 5) [02:01:43 -95759.088626] SLOW spr round 4 (radius: 10) [02:04:02 -95755.286849] SLOW spr round 5 (radius: 5) [02:06:52 -95754.542726] SLOW spr round 6 (radius: 5) [02:09:22 -95754.542364] SLOW spr round 7 (radius: 10) [02:11:46 -95754.253049] SLOW spr round 8 (radius: 5) [02:14:34 -95753.883407] SLOW spr round 9 (radius: 5) [02:17:02 -95753.882982] SLOW spr round 10 (radius: 10) [02:19:21 -95753.882706] SLOW spr round 11 (radius: 15) [02:23:39 -95753.882355] SLOW spr round 12 (radius: 20) [02:29:47 -95753.882354] SLOW spr round 13 (radius: 25) [02:37:18 -95753.882354] Model parameter optimization (eps = 0.100000) [02:37:30] [worker #0] ML tree search #4, logLikelihood: -95752.530025 [02:37:30 -276053.739150] Initial branch length optimization [02:37:33 -240519.364852] Model parameter optimization (eps = 10.000000) [02:38:07 -239927.970086] AUTODETECT spr round 1 (radius: 5) [02:40:34 -187393.096122] AUTODETECT spr round 2 (radius: 10) [02:43:31 -139526.697364] AUTODETECT spr round 3 (radius: 15) [02:44:58] [worker #2] ML tree search #6, logLikelihood: -95701.174355 [02:46:50 -116378.886343] AUTODETECT spr round 4 (radius: 20) [02:51:28 -110890.171184] AUTODETECT spr round 5 (radius: 25) [02:55:05] [worker #1] ML tree search #5, logLikelihood: -95748.400037 [02:57:06 -109720.636220] SPR radius for FAST iterations: 25 (autodetect) [02:57:06 -109720.636220] Model parameter optimization (eps = 3.000000) [02:57:28 -109695.997379] FAST spr round 1 (radius: 25) [03:01:14 -96343.522681] FAST spr round 2 (radius: 25) [03:03:50 -95846.018173] FAST spr round 3 (radius: 25) [03:06:08 -95786.307050] FAST spr round 4 (radius: 25) [03:08:07 -95772.116440] FAST spr round 5 (radius: 25) [03:09:59 -95770.737861] FAST spr round 6 (radius: 25) [03:11:48 -95769.547483] FAST spr round 7 (radius: 25) [03:13:34 -95769.547483] Model parameter optimization (eps = 1.000000) [03:13:48 -95767.930909] SLOW spr round 1 (radius: 5) [03:16:16 -95748.821632] SLOW spr round 2 (radius: 5) [03:18:38 -95740.517449] SLOW spr round 3 (radius: 5) [03:20:59 -95735.180993] SLOW spr round 4 (radius: 5) [03:23:16 -95735.180952] SLOW spr round 5 (radius: 10) [03:25:34 -95733.331605] SLOW spr round 6 (radius: 5) [03:28:21 -95732.314704] SLOW spr round 7 (radius: 5) [03:30:53 -95731.986924] SLOW spr round 8 (radius: 5) [03:33:16 -95731.283751] SLOW spr round 9 (radius: 5) [03:35:34 -95731.270253] SLOW spr round 10 (radius: 10) [03:37:52 -95729.516693] SLOW spr round 11 (radius: 5) [03:40:39 -95727.762959] SLOW spr round 12 (radius: 5) [03:43:07 -95727.761784] SLOW spr round 13 (radius: 10) [03:45:30 -95726.996189] SLOW spr round 14 (radius: 5) [03:48:13 -95726.978023] SLOW spr round 15 (radius: 10) [03:50:46 -95726.978004] SLOW spr round 16 (radius: 15) [03:54:37 -95725.839770] SLOW spr round 17 (radius: 5) [03:57:24 -95725.839756] SLOW spr round 18 (radius: 10) [04:00:01 -95725.839756] SLOW spr round 19 (radius: 15) [04:03:50 -95725.839756] SLOW spr round 20 (radius: 20) [04:10:01 -95723.839348] SLOW spr round 21 (radius: 5) [04:10:48] [worker #1] ML tree search #8, logLikelihood: -95711.092092 [04:12:57 -95722.528704] SLOW spr round 22 (radius: 5) [04:15:32 -95722.143060] SLOW spr round 23 (radius: 5) [04:17:54 -95722.142939] SLOW spr round 24 (radius: 10) [04:20:08 -95722.142934] SLOW spr round 25 (radius: 15) [04:24:19 -95722.142934] SLOW spr round 26 (radius: 20) [04:30:25 -95721.385278] SLOW spr round 27 (radius: 5) [04:33:21 -95719.360883] SLOW spr round 28 (radius: 5) [04:35:53 -95719.360012] SLOW spr round 29 (radius: 10) [04:38:17 -95715.229263] SLOW spr round 30 (radius: 5) [04:41:00 -95712.764365] SLOW spr round 31 (radius: 5) [04:43:26] [worker #2] ML tree search #9, logLikelihood: -95720.400207 [04:43:27 -95712.764358] SLOW spr round 32 (radius: 10) [04:45:46 -95712.764358] SLOW spr round 33 (radius: 15) [04:49:55 -95712.299006] SLOW spr round 34 (radius: 5) [04:52:44 -95707.815123] SLOW spr round 35 (radius: 5) [04:55:14 -95707.813726] SLOW spr round 36 (radius: 10) [04:57:35 -95707.426411] SLOW spr round 37 (radius: 5) [05:00:17 -95707.027745] SLOW spr round 38 (radius: 5) [05:02:44 -95707.026853] SLOW spr round 39 (radius: 10) [05:05:03 -95707.026823] SLOW spr round 40 (radius: 15) [05:09:11 -95707.026822] SLOW spr round 41 (radius: 20) [05:15:25 -95707.026822] SLOW spr round 42 (radius: 25) [05:23:22 -95707.026822] Model parameter optimization (eps = 0.100000) [05:23:31] [worker #0] ML tree search #7, logLikelihood: -95705.401643 [05:23:31 -277383.604621] Initial branch length optimization [05:23:33 -241974.755171] Model parameter optimization (eps = 10.000000) [05:24:05 -241136.944010] AUTODETECT spr round 1 (radius: 5) [05:26:33 -188348.085344] AUTODETECT spr round 2 (radius: 10) [05:29:34 -139662.158856] AUTODETECT spr round 3 (radius: 15) [05:32:52 -120658.931329] AUTODETECT spr round 4 (radius: 20) [05:37:32] [worker #1] ML tree search #11, logLikelihood: -95701.342527 [05:37:45 -112797.928463] AUTODETECT spr round 5 (radius: 25) [05:43:12 -111639.394270] SPR radius for FAST iterations: 25 (autodetect) [05:43:12 -111639.394270] Model parameter optimization (eps = 3.000000) [05:43:32 -111602.873150] FAST spr round 1 (radius: 25) [05:47:07 -96605.008638] FAST spr round 2 (radius: 25) [05:49:45 -95872.945386] FAST spr round 3 (radius: 25) [05:51:53 -95784.691454] FAST spr round 4 (radius: 25) [05:53:49 -95772.374849] FAST spr round 5 (radius: 25) [05:55:38 -95769.747469] FAST spr round 6 (radius: 25) [05:57:22 -95768.667666] FAST spr round 7 (radius: 25) [05:59:05 -95767.754713] FAST spr round 8 (radius: 25) [06:00:26] [worker #2] ML tree search #12, logLikelihood: -95722.951723 [06:00:47 -95767.754504] Model parameter optimization (eps = 1.000000) [06:01:02 -95764.826347] SLOW spr round 1 (radius: 5) [06:03:24 -95740.753976] SLOW spr round 2 (radius: 5) [06:05:42 -95738.907684] SLOW spr round 3 (radius: 5) [06:07:58 -95738.907145] SLOW spr round 4 (radius: 10) [06:10:13 -95738.343215] SLOW spr round 5 (radius: 5) [06:12:58 -95738.343130] SLOW spr round 6 (radius: 10) [06:15:31 -95732.394935] SLOW spr round 7 (radius: 5) [06:18:15 -95729.317749] SLOW spr round 8 (radius: 5) [06:20:42 -95729.112825] SLOW spr round 9 (radius: 5) [06:23:01 -95729.112801] SLOW spr round 10 (radius: 10) [06:25:17 -95729.112796] SLOW spr round 11 (radius: 15) [06:29:38 -95728.620777] SLOW spr round 12 (radius: 5) [06:32:31 -95724.376187] SLOW spr round 13 (radius: 5) [06:35:05 -95720.840325] SLOW spr round 14 (radius: 5) [06:37:25 -95720.839938] SLOW spr round 15 (radius: 10) [06:39:42 -95720.839933] SLOW spr round 16 (radius: 15) [06:44:16 -95720.839932] SLOW spr round 17 (radius: 20) [06:51:15 -95720.463715] SLOW spr round 18 (radius: 5) [06:54:08 -95716.598695] SLOW spr round 19 (radius: 5) [06:56:39 -95716.488116] SLOW spr round 20 (radius: 5) [06:58:58 -95716.488044] SLOW spr round 21 (radius: 10) [07:01:15 -95716.488043] SLOW spr round 22 (radius: 15) [07:05:47 -95716.488042] SLOW spr round 23 (radius: 20) [07:12:50 -95716.488042] SLOW spr round 24 (radius: 25) [07:21:50 -95716.488041] Model parameter optimization (eps = 0.100000) [07:21:56] [worker #0] ML tree search #10, logLikelihood: -95716.460071 [07:21:57 -276263.572039] Initial branch length optimization [07:21:59 -240492.007050] Model parameter optimization (eps = 10.000000) [07:22:30 -239790.650099] AUTODETECT spr round 1 (radius: 5) [07:24:55 -189692.973938] AUTODETECT spr round 2 (radius: 10) [07:27:49 -135560.874736] AUTODETECT spr round 3 (radius: 15) [07:30:53 -113763.695641] AUTODETECT spr round 4 (radius: 20) [07:34:41 -107487.551795] AUTODETECT spr round 5 (radius: 25) [07:39:50 -106934.159353] SPR radius for FAST iterations: 25 (autodetect) [07:39:50 -106934.159353] Model parameter optimization (eps = 3.000000) [07:40:14 -106900.788377] FAST spr round 1 (radius: 25) [07:41:33] [worker #2] ML tree search #15, logLikelihood: -95692.427274 [07:43:55 -96274.720127] FAST spr round 2 (radius: 25) [07:46:27 -95850.861311] FAST spr round 3 (radius: 25) [07:48:41 -95779.721294] FAST spr round 4 (radius: 25) [07:50:34 -95775.448878] FAST spr round 5 (radius: 25) [07:52:21 -95775.413745] Model parameter optimization (eps = 1.000000) [07:52:36 -95765.436922] SLOW spr round 1 (radius: 5) [07:55:02 -95739.541517] SLOW spr round 2 (radius: 5) [07:55:05] [worker #1] ML tree search #14, logLikelihood: -95717.747035 [07:57:23 -95735.905496] SLOW spr round 3 (radius: 5) [07:59:38 -95735.768939] SLOW spr round 4 (radius: 5) [08:01:50 -95735.768521] SLOW spr round 5 (radius: 10) [08:04:05 -95733.549035] SLOW spr round 6 (radius: 5) [08:06:50 -95731.728366] SLOW spr round 7 (radius: 5) [08:09:16 -95731.728293] SLOW spr round 8 (radius: 10) [08:11:36 -95731.728270] SLOW spr round 9 (radius: 15) [08:15:46 -95730.911831] SLOW spr round 10 (radius: 5) [08:18:33 -95730.876189] SLOW spr round 11 (radius: 10) [08:21:13 -95730.876045] SLOW spr round 12 (radius: 15) [08:25:07 -95730.876030] SLOW spr round 13 (radius: 20) [08:31:22 -95730.852494] SLOW spr round 14 (radius: 25) [08:38:24 -95730.851842] Model parameter optimization (eps = 0.100000) [08:38:27] [worker #0] ML tree search #13, logLikelihood: -95730.850790 [08:38:27 -277579.281921] Initial branch length optimization [08:38:30 -241424.138324] Model parameter optimization (eps = 10.000000) [08:39:00 -240575.226050] AUTODETECT spr round 1 (radius: 5) [08:41:25 -190305.364849] AUTODETECT spr round 2 (radius: 10) [08:44:22 -139022.403004] AUTODETECT spr round 3 (radius: 15) [08:47:17 -117886.668640] AUTODETECT spr round 4 (radius: 20) [08:51:29 -111751.193188] AUTODETECT spr round 5 (radius: 25) [08:52:20] [worker #2] ML tree search #18, logLikelihood: -95721.129746 [08:55:37 -109882.281799] SPR radius for FAST iterations: 25 (autodetect) [08:55:37 -109882.281799] Model parameter optimization (eps = 3.000000) [08:56:01 -109860.973807] FAST spr round 1 (radius: 25) [08:59:32 -96269.773589] FAST spr round 2 (radius: 25) [09:02:08 -95854.286686] FAST spr round 3 (radius: 25) [09:04:18 -95799.221826] FAST spr round 4 (radius: 25) [09:06:11 -95793.434784] FAST spr round 5 (radius: 25) [09:07:58 -95788.090150] FAST spr round 6 (radius: 25) [09:09:41 -95788.066762] Model parameter optimization (eps = 1.000000) [09:09:54 -95785.483001] SLOW spr round 1 (radius: 5) [09:10:08] [worker #1] ML tree search #17, logLikelihood: -95715.676843 [09:12:17 -95757.005568] SLOW spr round 2 (radius: 5) [09:14:36 -95750.074629] SLOW spr round 3 (radius: 5) [09:16:51 -95749.968260] SLOW spr round 4 (radius: 5) [09:19:03 -95749.967688] SLOW spr round 5 (radius: 10) [09:21:18 -95745.133784] SLOW spr round 6 (radius: 5) [09:24:02 -95743.444880] SLOW spr round 7 (radius: 5) [09:26:27 -95743.444841] SLOW spr round 8 (radius: 10) [09:28:49 -95742.175598] SLOW spr round 9 (radius: 5) [09:31:31 -95741.687013] SLOW spr round 10 (radius: 5) [09:33:56 -95741.686394] SLOW spr round 11 (radius: 10) [09:36:16 -95741.555913] SLOW spr round 12 (radius: 5) [09:38:57 -95741.554537] SLOW spr round 13 (radius: 10) [09:41:29 -95741.554388] SLOW spr round 14 (radius: 15) [09:45:32 -95740.503796] SLOW spr round 15 (radius: 5) [09:48:20 -95739.586757] SLOW spr round 16 (radius: 5) [09:50:48 -95739.579365] SLOW spr round 17 (radius: 10) [09:53:11 -95732.863911] SLOW spr round 18 (radius: 5) [09:55:51 -95732.756276] SLOW spr round 19 (radius: 5) [09:58:15 -95732.756229] SLOW spr round 20 (radius: 10) [10:00:34 -95732.756229] SLOW spr round 21 (radius: 15) [10:04:58 -95732.459694] SLOW spr round 22 (radius: 5) [10:07:42 -95732.459572] SLOW spr round 23 (radius: 10) [10:10:19 -95732.459571] SLOW spr round 24 (radius: 15) [10:14:22 -95732.459571] SLOW spr round 25 (radius: 20) [10:21:27 -95732.459571] SLOW spr round 26 (radius: 25) [10:30:14 -95732.061604] SLOW spr round 27 (radius: 5) [10:33:04 -95732.028280] SLOW spr round 28 (radius: 10) [10:35:50 -95732.025400] SLOW spr round 29 (radius: 15) [10:36:19] [worker #1] ML tree search #20, logLikelihood: -95720.559497 [10:39:48 -95732.022524] SLOW spr round 30 (radius: 20) [10:46:53 -95732.019650] SLOW spr round 31 (radius: 25) [10:55:36 -95732.016780] Model parameter optimization (eps = 0.100000) [10:55:46] [worker #0] ML tree search #16, logLikelihood: -95731.888007 [10:55:47 -275541.976870] Initial branch length optimization [10:55:49 -240201.674505] Model parameter optimization (eps = 10.000000) [10:56:39 -239514.549203] AUTODETECT spr round 1 (radius: 5) [10:59:06 -188461.249772] AUTODETECT spr round 2 (radius: 10) [11:02:08 -138284.397912] AUTODETECT spr round 3 (radius: 15) [11:05:18 -118305.667052] AUTODETECT spr round 4 (radius: 20) [11:09:18 -111655.926479] AUTODETECT spr round 5 (radius: 25) [11:14:17 -110389.132558] SPR radius for FAST iterations: 25 (autodetect) [11:14:17 -110389.132558] Model parameter optimization (eps = 3.000000) [11:14:37 -110360.900664] FAST spr round 1 (radius: 25) [11:18:14 -96335.387767] FAST spr round 2 (radius: 25) [11:20:46 -95869.273657] FAST spr round 3 (radius: 25) [11:22:57 -95797.996721] FAST spr round 4 (radius: 25) [11:24:53 -95785.451589] FAST spr round 5 (radius: 25) [11:26:40 -95784.565300] FAST spr round 6 (radius: 25) [11:28:24 -95784.533982] Model parameter optimization (eps = 1.000000) [11:28:34 -95781.243552] SLOW spr round 1 (radius: 5) [11:30:58 -95745.963140] SLOW spr round 2 (radius: 5) [11:33:18 -95734.289453] SLOW spr round 3 (radius: 5) [11:35:34 -95732.381446] SLOW spr round 4 (radius: 5) [11:37:45 -95732.381360] SLOW spr round 5 (radius: 10) [11:40:00 -95730.407768] SLOW spr round 6 (radius: 5) [11:42:48 -95718.167937] SLOW spr round 7 (radius: 5) [11:45:18 -95717.974525] SLOW spr round 8 (radius: 5) [11:47:41 -95712.746797] SLOW spr round 9 (radius: 5) [11:49:59 -95709.731995] SLOW spr round 10 (radius: 5) [11:52:10 -95709.084497] SLOW spr round 11 (radius: 5) [11:54:20 -95709.084160] SLOW spr round 12 (radius: 10) [11:56:34 -95707.980904] SLOW spr round 13 (radius: 5) [11:59:16 -95707.720395] SLOW spr round 14 (radius: 5) [12:01:42 -95707.212278] SLOW spr round 15 (radius: 5) [12:03:58 -95707.212178] SLOW spr round 16 (radius: 10) [12:06:13 -95707.212178] SLOW spr round 17 (radius: 15) [12:10:39 -95707.212178] SLOW spr round 18 (radius: 20) [12:17:05 -95707.212178] SLOW spr round 19 (radius: 25) [12:25:02 -95707.212178] Model parameter optimization (eps = 0.100000) [12:25:14] [worker #0] ML tree search #19, logLikelihood: -95706.715084 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.193600,0.310790) (0.309339,0.430057) (0.260743,1.156355) (0.236318,2.138162) 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: -95692.427274 AIC score: 195386.854548 / AICc score: 8207390.854548 / BIC score: 201601.851441 Free parameters (model + branch lengths): 2001 WARNING: Number of free parameters (K=2001) is larger than alignment size (n=165). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q16819/3_mltree/Q16819.raxml.log Analysis started: 01-Jul-2021 19:32:11 / finished: 02-Jul-2021 07:57:26 Elapsed time: 44714.588 seconds Consumed energy: 3299.561 Wh (= 16 km in an electric car, or 82 km with an e-scooter!)