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 05-Jul-2021 18:46:03 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/2_msa/Q6UXH1_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1 --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/Q6UXH1/2_msa/Q6UXH1_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 162 sites WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_R0LJA8_R0LJA8_ANAPL_8839 are exactly identical! WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_A0A091UNZ6_A0A091UNZ6_NIPNI_128390 are exactly identical! WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_A0A087RJQ8_A0A087RJQ8_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_A0A093HH41_A0A093HH41_STRCA_441894 are exactly identical! WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_A0A091VRV3_A0A091VRV3_OPIHO_30419 are exactly identical! WARNING: Sequences tr_A0A1D5P380_A0A1D5P380_CHICK_9031 and tr_A0A0A0AIZ7_A0A0A0AIZ7_CHAVO_50402 are exactly identical! WARNING: Sequences tr_F1NX60_F1NX60_CHICK_9031 and sp_O73775_FBLN1_CHICK_9031 are exactly identical! WARNING: Sequences sp_Q61554_FBN1_MOUSE_10090 and tr_G3V9M6_G3V9M6_RAT_10116 are exactly identical! WARNING: Sequences sp_Q61554_FBN1_MOUSE_10090 and tr_G5CA40_G5CA40_HETGA_10181 are exactly identical! WARNING: Sequences tr_M3XTC2_M3XTC2_MUSPF_9669 and tr_A0A2Y9JGB3_A0A2Y9JGB3_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M3Y8S3_M3Y8S3_MUSPF_9669 and tr_A0A2Y9JIY1_A0A2Y9JIY1_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M3YJA0_M3YJA0_MUSPF_9669 and tr_A0A2Y9JNF3_A0A2Y9JNF3_ENHLU_391180 are exactly identical! WARNING: Sequences tr_A0A2I3HAN1_A0A2I3HAN1_NOMLE_61853 and tr_G3QH75_G3QH75_GORGO_9595 are exactly identical! WARNING: Sequences tr_A0A2I3HAN1_A0A2I3HAN1_NOMLE_61853 and tr_A0A2I3RC60_A0A2I3RC60_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3HAN1_A0A2I3HAN1_NOMLE_61853 and tr_A0A2R9AKA2_A0A2R9AKA2_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_G3QLA9_G3QLA9_GORGO_9595 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_H2NN62_H2NN62_PONAB_9601 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A2I3RTE4_A0A2I3RTE4_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and sp_P35555_FBN1_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A1D5Q4D3_A0A1D5Q4D3_MACMU_9544 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_G7PBA1_G7PBA1_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A096NM08_A0A096NM08_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A2K5L3Z1_A0A2K5L3Z1_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A2K6BW09_A0A2K6BW09_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2I3HT18_A0A2I3HT18_NOMLE_61853 and tr_A0A2R9CMD1_A0A2R9CMD1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2NCT6_H2NCT6_PONAB_9601 and tr_H2Q445_H2Q445_PANTR_9598 are exactly identical! WARNING: Sequences tr_H2NCT6_H2NCT6_PONAB_9601 and sp_O95967_FBLN4_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2NCT6_H2NCT6_PONAB_9601 and tr_A0A0D9R6Q4_A0A0D9R6Q4_CHLSB_60711 are exactly identical! WARNING: Sequences tr_H2NCT6_H2NCT6_PONAB_9601 and tr_A0A2R9A1U7_A0A2R9A1U7_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2NM18_H2NM18_PONAB_9601 and tr_A0A2I3S9Z3_A0A2I3S9Z3_PANTR_9598 are exactly identical! WARNING: Sequences tr_H2NM18_H2NM18_PONAB_9601 and sp_Q9UBX5_FBLN5_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2NM18_H2NM18_PONAB_9601 and tr_A0A0D9RG07_A0A0D9RG07_CHLSB_60711 are exactly identical! WARNING: Sequences tr_H2P4R8_H2P4R8_PONAB_9601 and sp_P23142_FBLN1_HUMAN_9606 are exactly identical! WARNING: Sequences tr_F1PIA3_F1PIA3_CANLF_9615 and tr_G1L4Y3_G1L4Y3_AILME_9646 are exactly identical! WARNING: Sequences tr_F1PIA3_F1PIA3_CANLF_9615 and tr_A0A2U3VNB9_A0A2U3VNB9_ODORO_9708 are exactly identical! WARNING: Sequences tr_F1PIA3_F1PIA3_CANLF_9615 and tr_A0A384DBL5_A0A384DBL5_URSMA_29073 are exactly identical! WARNING: Sequences tr_K7D9C9_K7D9C9_PANTR_9598 and sp_Q96HD1_CREL1_HUMAN_9606 are exactly identical! WARNING: Sequences tr_W5P611_W5P611_SHEEP_9940 and tr_F1N3P8_F1N3P8_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5P611_W5P611_SHEEP_9940 and sp_Q5EA46_CREL1_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5PSC8_W5PSC8_SHEEP_9940 and tr_Q2KJ89_Q2KJ89_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5PSC8_W5PSC8_SHEEP_9940 and sp_Q5EA62_FBLN5_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5QIN8_W5QIN8_SHEEP_9940 and sp_P98133_FBN1_BOVIN_9913 are exactly identical! WARNING: Sequences tr_W5QIN8_W5QIN8_SHEEP_9940 and tr_A0A1S3ENP3_A0A1S3ENP3_DIPOR_10020 are exactly identical! WARNING: Sequences tr_W5QIN8_W5QIN8_SHEEP_9940 and tr_A0A2Y9PJL6_A0A2Y9PJL6_DELLE_9749 are exactly identical! WARNING: Sequences tr_W5QIN8_W5QIN8_SHEEP_9940 and tr_A0A2Y9RXM1_A0A2Y9RXM1_PHYCD_9755 are exactly identical! WARNING: Sequences tr_W5QIN8_W5QIN8_SHEEP_9940 and tr_A0A383Z634_A0A383Z634_BALAS_310752 are exactly identical! WARNING: Sequences tr_A0A158N9A0_A0A158N9A0_ATTCE_12957 and tr_A0A195BTV7_A0A195BTV7_9HYME_520822 are exactly identical! WARNING: Sequences tr_F6UHI1_F6UHI1_MACMU_9544 and tr_A0A2I3MX39_A0A2I3MX39_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F6UHI1_F6UHI1_MACMU_9544 and tr_A0A2K5MWW5_A0A2K5MWW5_CERAT_9531 are exactly identical! WARNING: Sequences tr_F6UHI1_F6UHI1_MACMU_9544 and tr_A0A2K6CJU3_A0A2K6CJU3_MACNE_9545 are exactly identical! WARNING: Sequences tr_F6UHI1_F6UHI1_MACMU_9544 and tr_A0A2K5ZZV8_A0A2K5ZZV8_MANLE_9568 are exactly identical! WARNING: Sequences tr_F7HJV3_F7HJV3_MACMU_9544 and tr_A0A0D9RD98_A0A0D9RD98_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7HJV3_F7HJV3_MACMU_9544 and tr_A0A2K5NLV2_A0A2K5NLV2_CERAT_9531 are exactly identical! WARNING: Sequences tr_H0Z947_H0Z947_TAEGU_59729 and tr_A0A218USK9_A0A218USK9_9PASE_299123 are exactly identical! WARNING: Sequences tr_F1SD87_F1SD87_PIG_9823 and tr_A0A337S164_A0A337S164_FELCA_9685 are exactly identical! WARNING: Sequences tr_F1SD87_F1SD87_PIG_9823 and tr_A0A2U3Z9U5_A0A2U3Z9U5_ODORO_9708 are exactly identical! WARNING: Sequences tr_F1SN67_F1SN67_PIG_9823 and tr_A0A2U4AUR5_A0A2U4AUR5_TURTR_9739 are exactly identical! WARNING: Sequences tr_G1M8Q7_G1M8Q7_AILME_9646 and tr_A0A384CQL3_A0A384CQL3_URSMA_29073 are exactly identical! WARNING: Sequences tr_G1MG02_G1MG02_AILME_9646 and tr_A0A384DJJ2_A0A384DJJ2_URSMA_29073 are exactly identical! WARNING: Sequences tr_G7PPG9_G7PPG9_MACFA_9541 and tr_A0A096ND84_A0A096ND84_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G7PPG9_G7PPG9_MACFA_9541 and tr_A0A2K5N0D6_A0A2K5N0D6_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7PPG9_G7PPG9_MACFA_9541 and tr_A0A2K6DUB3_A0A2K6DUB3_MACNE_9545 are exactly identical! WARNING: Sequences tr_G7PPG9_G7PPG9_MACFA_9541 and tr_A0A2K5Y1P0_A0A2K5Y1P0_MANLE_9568 are exactly identical! WARNING: Sequences tr_G8F3B4_G8F3B4_MACFA_9541 and tr_A0A2I3MAK3_A0A2I3MAK3_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G8F3B4_G8F3B4_MACFA_9541 and tr_A0A2K6AN97_A0A2K6AN97_MACNE_9545 are exactly identical! WARNING: Sequences tr_G8F3B4_G8F3B4_MACFA_9541 and tr_A0A2K5ZVU1_A0A2K5ZVU1_MANLE_9568 are exactly identical! WARNING: Sequences tr_M3WIJ8_M3WIJ8_FELCA_9685 and tr_A0A2U3VH68_A0A2U3VH68_ODORO_9708 are exactly identical! WARNING: Sequences tr_M3WIJ8_M3WIJ8_FELCA_9685 and tr_A0A2Y9PVR5_A0A2Y9PVR5_DELLE_9749 are exactly identical! WARNING: Sequences tr_M3WIJ8_M3WIJ8_FELCA_9685 and tr_A0A2Y9TJW3_A0A2Y9TJW3_PHYCD_9755 are exactly identical! WARNING: Sequences tr_U3K9I7_U3K9I7_FICAL_59894 and tr_A0A091F899_A0A091F899_CORBR_85066 are exactly identical! WARNING: Sequences tr_A0A2I3MQ48_A0A2I3MQ48_PAPAN_9555 and tr_A0A2K5LFG6_A0A2K5LFG6_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A2I3MQ48_A0A2I3MQ48_PAPAN_9555 and tr_A0A2K6CT24_A0A2K6CT24_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A151P794_A0A151P794_ALLMI_8496 and tr_A0A3Q0HF10_A0A3Q0HF10_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A151P8Z7_A0A151P8Z7_ALLMI_8496 and tr_A0A1U7SGP7_A0A1U7SGP7_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A091UMG7_A0A091UMG7_NIPNI_128390 and tr_A0A087R521_A0A087R521_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A091V1W6_A0A091V1W6_NIPNI_128390 and tr_A0A091W4M5_A0A091W4M5_OPIHO_30419 are exactly identical! WARNING: Sequences tr_A0A087QR34_A0A087QR34_APTFO_9233 and tr_A0A091GDH9_A0A091GDH9_9AVES_55661 are exactly identical! WARNING: Sequences tr_A0A087R7N9_A0A087R7N9_APTFO_9233 and tr_A0A0A0A2Z6_A0A0A0A2Z6_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A087R7N9_A0A087R7N9_APTFO_9233 and tr_A0A2I0MK74_A0A2I0MK74_COLLI_8932 are exactly identical! WARNING: Sequences tr_A0A087R7N9_A0A087R7N9_APTFO_9233 and tr_A0A1V4K8B2_A0A1V4K8B2_PATFA_372326 are exactly identical! WARNING: Sequences tr_A0A093HL06_A0A093HL06_STRCA_441894 and tr_A0A099Z1N3_A0A099Z1N3_TINGU_94827 are exactly identical! WARNING: Sequences tr_A0A0V1LMW3_A0A0V1LMW3_9BILA_6335 and tr_A0A0V1AAH7_A0A0V1AAH7_9BILA_990121 are exactly identical! WARNING: Sequences tr_A0A0V1LMW3_A0A0V1LMW3_9BILA_6335 and tr_A0A0V1PM97_A0A0V1PM97_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A1S3JFK5_A0A1S3JFK5_LINUN_7574 and tr_A0A2R2MIZ4_A0A2R2MIZ4_LINUN_7574 are exactly identical! WARNING: Sequences tr_A0A226N152_A0A226N152_CALSU_9009 and tr_A0A226PL64_A0A226PL64_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A226N7J2_A0A226N7J2_CALSU_9009 and tr_A0A226PJ12_A0A226PJ12_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2D0PI70_A0A2D0PI70_ICTPU_7998 and tr_A0A2D0PKF6_A0A2D0PKF6_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0SH52_A0A2D0SH52_ICTPU_7998 and tr_W5UBK9_W5UBK9_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2K5LG61_A0A2K5LG61_CERAT_9531 and tr_A0A2K6C2A2_A0A2K6C2A2_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2K5LG61_A0A2K5LG61_CERAT_9531 and tr_A0A2K5Y4X0_A0A2K5Y4X0_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2U3UZR6_A0A2U3UZR6_TURTR_9739 and tr_A0A2Y9SN53_A0A2Y9SN53_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2U3UZR6_A0A2U3UZR6_TURTR_9739 and tr_A0A384AZ82_A0A384AZ82_BALAS_310752 are exactly identical! WARNING: Sequences tr_A0A2U4BY46_A0A2U4BY46_TURTR_9739 and tr_A0A2Y9Q5P9_A0A2Y9Q5P9_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A2U4BY46_A0A2U4BY46_TURTR_9739 and tr_A0A2Y9S8B2_A0A2Y9S8B2_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2Y9NKV1_A0A2Y9NKV1_DELLE_9749 and tr_A0A2Y9ENB5_A0A2Y9ENB5_PHYCD_9755 are exactly identical! WARNING: Duplicate sequences found: 95 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/Q6UXH1/3_mltree/Q6UXH1.raxml.reduced.phy Alignment comprises 1 partitions and 162 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 162 / 162 Gaps: 14.01 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.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 1001 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 162 / 12960 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -250473.048933] Initial branch length optimization [00:00:06 -211966.334588] Model parameter optimization (eps = 10.000000) [00:00:44 -211788.642822] AUTODETECT spr round 1 (radius: 5) [00:03:20 -158728.355509] AUTODETECT spr round 2 (radius: 10) [00:06:13 -119905.051365] AUTODETECT spr round 3 (radius: 15) [00:10:05 -96609.148885] AUTODETECT spr round 4 (radius: 20) [00:14:01 -87975.745313] AUTODETECT spr round 5 (radius: 25) [00:18:50 -85548.623779] SPR radius for FAST iterations: 25 (autodetect) [00:18:50 -85548.623779] Model parameter optimization (eps = 3.000000) [00:19:18 -85200.239646] FAST spr round 1 (radius: 25) [00:23:04 -75972.074953] FAST spr round 2 (radius: 25) [00:25:35 -75195.966854] FAST spr round 3 (radius: 25) [00:27:47 -75139.651132] FAST spr round 4 (radius: 25) [00:29:47 -75128.307868] FAST spr round 5 (radius: 25) [00:31:39 -75124.359679] FAST spr round 6 (radius: 25) [00:33:25 -75124.359340] Model parameter optimization (eps = 1.000000) [00:33:44 -75119.423320] SLOW spr round 1 (radius: 5) [00:36:08 -75091.091011] SLOW spr round 2 (radius: 5) [00:38:28 -75084.856164] SLOW spr round 3 (radius: 5) [00:40:45 -75082.188611] SLOW spr round 4 (radius: 5) [00:42:57 -75081.992714] SLOW spr round 5 (radius: 5) [00:45:07 -75081.991635] SLOW spr round 6 (radius: 10) [00:47:22 -75079.980788] SLOW spr round 7 (radius: 5) [00:50:04 -75079.308627] SLOW spr round 8 (radius: 5) [00:52:28 -75079.308313] SLOW spr round 9 (radius: 10) [00:54:48 -75079.308177] SLOW spr round 10 (radius: 15) [00:58:29 -75078.071850] SLOW spr round 11 (radius: 5) [01:01:15 -75078.071811] SLOW spr round 12 (radius: 10) [01:03:55 -75078.071811] SLOW spr round 13 (radius: 15) [01:07:28 -75077.402084] SLOW spr round 14 (radius: 5) [01:10:14 -75077.393199] SLOW spr round 15 (radius: 10) [01:12:55 -75075.776923] SLOW spr round 16 (radius: 5) [01:15:33 -75075.585834] SLOW spr round 17 (radius: 5) [01:17:56 -75075.353760] SLOW spr round 18 (radius: 5) [01:20:13 -75075.353319] SLOW spr round 19 (radius: 10) [01:22:28 -75075.353290] SLOW spr round 20 (radius: 15) [01:26:11 -75075.223759] SLOW spr round 21 (radius: 5) [01:28:57 -75075.223235] SLOW spr round 22 (radius: 10) [01:31:37 -75075.223231] SLOW spr round 23 (radius: 15) [01:35:07 -75075.223231] SLOW spr round 24 (radius: 20) [01:40:22 -75071.818587] SLOW spr round 25 (radius: 5) [01:43:13 -75071.783835] SLOW spr round 26 (radius: 10) [01:45:57 -75071.782552] SLOW spr round 27 (radius: 15) [01:49:29 -75071.026216] SLOW spr round 28 (radius: 5) [01:52:15 -75070.661135] SLOW spr round 29 (radius: 5) [01:54:42 -75070.659331] SLOW spr round 30 (radius: 10) [01:55:27] [worker #1] ML tree search #2, logLikelihood: -75041.336840 [01:56:55] [worker #2] ML tree search #3, logLikelihood: -75048.496482 [01:57:05 -75070.659202] SLOW spr round 31 (radius: 15) [02:00:44 -75070.484070] SLOW spr round 32 (radius: 5) [02:03:35 -75069.595508] SLOW spr round 33 (radius: 5) [02:06:07 -75067.524217] SLOW spr round 34 (radius: 5) [02:08:27 -75066.716967] SLOW spr round 35 (radius: 5) [02:10:40 -75066.716956] SLOW spr round 36 (radius: 10) [02:12:54 -75066.716955] SLOW spr round 37 (radius: 15) [02:16:42 -75066.438252] SLOW spr round 38 (radius: 5) [02:19:33 -75063.522991] SLOW spr round 39 (radius: 5) [02:22:02 -75063.521913] SLOW spr round 40 (radius: 10) [02:24:26 -75063.521837] SLOW spr round 41 (radius: 15) [02:28:08 -75063.521830] SLOW spr round 42 (radius: 20) [02:33:22 -75063.521829] SLOW spr round 43 (radius: 25) [02:40:21 -75062.625247] SLOW spr round 44 (radius: 5) [02:43:16 -75062.444711] SLOW spr round 45 (radius: 5) [02:45:47 -75062.444506] SLOW spr round 46 (radius: 10) [02:48:13 -75062.444497] SLOW spr round 47 (radius: 15) [02:51:52 -75062.444496] SLOW spr round 48 (radius: 20) [02:57:06 -75062.444496] SLOW spr round 49 (radius: 25) [03:04:02 -75062.305717] SLOW spr round 50 (radius: 5) [03:06:57 -75051.519837] SLOW spr round 51 (radius: 5) [03:09:29 -75051.033540] SLOW spr round 52 (radius: 5) [03:11:49 -75051.031826] SLOW spr round 53 (radius: 10) [03:14:07 -75051.031756] SLOW spr round 54 (radius: 15) [03:17:52 -75051.031753] SLOW spr round 55 (radius: 20) [03:23:05 -75051.031753] SLOW spr round 56 (radius: 25) [03:30:03 -75051.031753] Model parameter optimization (eps = 0.100000) [03:30:10] [worker #0] ML tree search #1, logLikelihood: -75050.948332 [03:30:10 -250993.046216] Initial branch length optimization [03:30:16 -213046.467892] Model parameter optimization (eps = 10.000000) [03:30:55 -212725.021543] AUTODETECT spr round 1 (radius: 5) [03:33:25 -154362.008551] AUTODETECT spr round 2 (radius: 10) [03:36:28 -117510.578797] AUTODETECT spr round 3 (radius: 15) [03:39:33 -99024.853909] AUTODETECT spr round 4 (radius: 20) [03:43:14 -88604.175912] AUTODETECT spr round 5 (radius: 25) [03:48:13 -85880.742023] SPR radius for FAST iterations: 25 (autodetect) [03:48:13 -85880.742023] Model parameter optimization (eps = 3.000000) [03:48:40 -85678.271780] FAST spr round 1 (radius: 25) [03:52:18 -75692.848629] FAST spr round 2 (radius: 25) [03:54:52 -75203.871045] FAST spr round 3 (radius: 25) [03:57:10 -75160.356222] FAST spr round 4 (radius: 25) [03:59:14 -75139.376959] FAST spr round 5 (radius: 25) [04:01:11 -75114.534068] FAST spr round 6 (radius: 25) [04:03:02 -75110.019284] FAST spr round 7 (radius: 25) [04:04:50 -75107.291903] FAST spr round 8 (radius: 25) [04:06:19] [worker #2] ML tree search #6, logLikelihood: -75056.892355 [04:06:37 -75105.083116] FAST spr round 9 (radius: 25) [04:08:22 -75103.645075] FAST spr round 10 (radius: 25) [04:10:07 -75103.644824] Model parameter optimization (eps = 1.000000) [04:10:24 -75092.967433] SLOW spr round 1 (radius: 5) [04:12:46 -75080.743897] SLOW spr round 2 (radius: 5) [04:15:01 -75080.740339] SLOW spr round 3 (radius: 10) [04:17:21 -75078.064129] SLOW spr round 4 (radius: 5) [04:20:06 -75076.271294] SLOW spr round 5 (radius: 5) [04:22:34 -75076.270917] SLOW spr round 6 (radius: 10) [04:24:57 -75076.270902] SLOW spr round 7 (radius: 15) [04:28:49 -75076.270901] SLOW spr round 8 (radius: 20) [04:34:06 -75076.270901] SLOW spr round 9 (radius: 25) [04:40:33 -75076.270901] Model parameter optimization (eps = 0.100000) [04:40:39] [worker #0] ML tree search #4, logLikelihood: -75076.234918 [04:40:39 -250634.946984] Initial branch length optimization [04:40:47 -213775.248039] Model parameter optimization (eps = 10.000000) [04:41:27 -213585.195217] AUTODETECT spr round 1 (radius: 5) [04:44:02 -156906.410829] AUTODETECT spr round 2 (radius: 10) [04:47:14 -122011.516866] AUTODETECT spr round 3 (radius: 15) [04:50:54 -102786.399567] AUTODETECT spr round 4 (radius: 20) [04:54:41 -96240.793015] AUTODETECT spr round 5 (radius: 25) [04:59:16 -91351.907855] SPR radius for FAST iterations: 25 (autodetect) [04:59:16 -91351.907855] Model parameter optimization (eps = 3.000000) [04:59:47 -91024.020140] FAST spr round 1 (radius: 25) [05:04:40] [worker #1] ML tree search #5, logLikelihood: -75106.593909 [05:05:16 -76262.192047] FAST spr round 2 (radius: 25) [05:08:02 -75239.879595] FAST spr round 3 (radius: 25) [05:10:23 -75136.494512] FAST spr round 4 (radius: 25) [05:12:21 -75129.734292] FAST spr round 5 (radius: 25) [05:14:12 -75129.466771] FAST spr round 6 (radius: 25) [05:16:00 -75129.466515] Model parameter optimization (eps = 1.000000) [05:16:15 -75118.917370] SLOW spr round 1 (radius: 5) [05:18:42 -75093.230739] SLOW spr round 2 (radius: 5) [05:21:03 -75091.880774] SLOW spr round 3 (radius: 5) [05:23:17 -75091.880466] SLOW spr round 4 (radius: 10) [05:25:34 -75089.771487] SLOW spr round 5 (radius: 5) [05:28:19 -75088.304543] SLOW spr round 6 (radius: 5) [05:30:47 -75087.187349] SLOW spr round 7 (radius: 5) [05:33:06 -75087.187012] SLOW spr round 8 (radius: 10) [05:35:24 -75087.186983] SLOW spr round 9 (radius: 15) [05:39:04] [worker #2] ML tree search #9, logLikelihood: -75047.155811 [05:39:24 -75085.208359] SLOW spr round 10 (radius: 5) [05:42:10 -75085.141286] SLOW spr round 11 (radius: 10) [05:44:51 -75085.139748] SLOW spr round 12 (radius: 15) [05:48:36 -75084.882480] SLOW spr round 13 (radius: 5) [05:51:25 -75084.716772] SLOW spr round 14 (radius: 5) [05:53:55 -75084.715853] SLOW spr round 15 (radius: 10) [05:56:22 -75083.741918] SLOW spr round 16 (radius: 5) [05:59:07 -75077.178303] SLOW spr round 17 (radius: 5) [06:01:35 -75077.049952] SLOW spr round 18 (radius: 5) [06:03:53 -75077.047952] SLOW spr round 19 (radius: 10) [06:06:11 -75077.047707] SLOW spr round 20 (radius: 15) [06:10:12 -75076.294685] SLOW spr round 21 (radius: 5) [06:12:59 -75076.293689] SLOW spr round 22 (radius: 10) [06:15:43 -75076.293597] SLOW spr round 23 (radius: 15) [06:19:30 -75075.046076] SLOW spr round 24 (radius: 5) [06:22:19 -75071.997959] SLOW spr round 25 (radius: 5) [06:24:52 -75070.107507] SLOW spr round 26 (radius: 5) [06:27:12 -75070.107347] SLOW spr round 27 (radius: 10) [06:29:32 -75068.174524] SLOW spr round 28 (radius: 5) [06:32:15 -75068.031611] SLOW spr round 29 (radius: 5) [06:34:41 -75068.031058] SLOW spr round 30 (radius: 10) [06:37:02 -75068.030985] SLOW spr round 31 (radius: 15) [06:40:57 -75068.030957] SLOW spr round 32 (radius: 20) [06:46:06 -75068.030944] SLOW spr round 33 (radius: 25) [06:52:36 -75068.030938] Model parameter optimization (eps = 0.100000) [06:52:44] [worker #0] ML tree search #7, logLikelihood: -75067.941340 [06:52:44 -251319.207212] Initial branch length optimization [06:52:49 -213686.026074] Model parameter optimization (eps = 10.000000) [06:53:14 -213559.643532] AUTODETECT spr round 1 (radius: 5) [06:55:48 -155498.733891] AUTODETECT spr round 2 (radius: 10) [06:58:58 -118963.898642] AUTODETECT spr round 3 (radius: 15) [07:01:58 -97169.650858] AUTODETECT spr round 4 (radius: 20) [07:05:35 -89668.512306] AUTODETECT spr round 5 (radius: 25) [07:10:31 -85837.213526] SPR radius for FAST iterations: 25 (autodetect) [07:10:31 -85837.213526] Model parameter optimization (eps = 3.000000) [07:11:06 -85548.459623] FAST spr round 1 (radius: 25) [07:15:54 -75692.839855] FAST spr round 2 (radius: 25) [07:18:40 -75179.710423] FAST spr round 3 (radius: 25) [07:20:54 -75115.774325] FAST spr round 4 (radius: 25) [07:22:57 -75099.194959] FAST spr round 5 (radius: 25) [07:24:49 -75091.351654] FAST spr round 6 (radius: 25) [07:26:36 -75091.351192] Model parameter optimization (eps = 1.000000) [07:26:59 -75086.835053] SLOW spr round 1 (radius: 5) [07:29:22 -75066.921689] SLOW spr round 2 (radius: 5) [07:31:43 -75065.237893] SLOW spr round 3 (radius: 5) [07:34:02 -75059.021738] SLOW spr round 4 (radius: 5) [07:36:18 -75057.429154] SLOW spr round 5 (radius: 5) [07:38:33 -75056.431635] SLOW spr round 6 (radius: 5) [07:40:44 -75056.431627] SLOW spr round 7 (radius: 10) [07:42:58 -75055.715450] SLOW spr round 8 (radius: 5) [07:45:41 -75055.715224] SLOW spr round 9 (radius: 10) [07:48:15 -75055.715221] SLOW spr round 10 (radius: 15) [07:51:50 -75054.223461] SLOW spr round 11 (radius: 5) [07:54:36 -75053.871854] SLOW spr round 12 (radius: 5) [07:55:58] [worker #2] ML tree search #12, logLikelihood: -75049.673128 [07:57:04 -75053.871700] SLOW spr round 13 (radius: 10) [07:59:26 -75053.871685] SLOW spr round 14 (radius: 15) [08:03:08 -75053.538391] SLOW spr round 15 (radius: 5) [08:05:53 -75053.538298] SLOW spr round 16 (radius: 10) [08:08:33 -75052.200199] SLOW spr round 17 (radius: 5) [08:11:10 -75050.755866] SLOW spr round 18 (radius: 5) [08:13:33 -75050.755648] SLOW spr round 19 (radius: 10) [08:15:50 -75050.755638] SLOW spr round 20 (radius: 15) [08:18:02] [worker #1] ML tree search #8, logLikelihood: -75043.088223 [08:19:35 -75049.220566] SLOW spr round 21 (radius: 5) [08:22:21 -75049.201158] SLOW spr round 22 (radius: 10) [08:25:01 -75049.201158] SLOW spr round 23 (radius: 15) [08:28:37 -75049.201158] SLOW spr round 24 (radius: 20) [08:34:17 -75049.201158] SLOW spr round 25 (radius: 25) [08:41:54 -75049.201158] Model parameter optimization (eps = 0.100000) [08:42:11] [worker #0] ML tree search #10, logLikelihood: -75048.105841 [08:42:11 -251952.994141] Initial branch length optimization [08:42:15 -213638.795271] Model parameter optimization (eps = 10.000000) [08:43:03 -213273.539870] AUTODETECT spr round 1 (radius: 5) [08:45:38 -157904.265136] AUTODETECT spr round 2 (radius: 10) [08:48:36 -116650.489965] AUTODETECT spr round 3 (radius: 15) [08:51:49 -98514.391637] AUTODETECT spr round 4 (radius: 20) [08:55:46 -88318.015468] AUTODETECT spr round 5 (radius: 25) [09:00:31 -86034.603107] SPR radius for FAST iterations: 25 (autodetect) [09:00:31 -86034.603107] Model parameter optimization (eps = 3.000000) [09:01:02 -85681.293181] FAST spr round 1 (radius: 25) [09:05:04 -76816.584060] FAST spr round 2 (radius: 25) [09:07:42 -75455.215287] FAST spr round 3 (radius: 25) [09:10:01 -75163.273648] FAST spr round 4 (radius: 25) [09:12:08 -75091.042242] FAST spr round 5 (radius: 25) [09:14:07 -75080.590823] FAST spr round 6 (radius: 25) [09:15:58 -75077.473368] FAST spr round 7 (radius: 25) [09:17:45 -75077.469153] Model parameter optimization (eps = 1.000000) [09:18:02 -75067.115636] SLOW spr round 1 (radius: 5) [09:20:27 -75048.262716] SLOW spr round 2 (radius: 5) [09:21:24] [worker #2] ML tree search #15, logLikelihood: -75112.126744 [09:22:46 -75042.802860] SLOW spr round 3 (radius: 5) [09:24:59 -75042.802461] SLOW spr round 4 (radius: 10) [09:27:17 -75041.011828] SLOW spr round 5 (radius: 5) [09:30:01 -75039.886421] SLOW spr round 6 (radius: 5) [09:32:28 -75039.886346] SLOW spr round 7 (radius: 10) [09:34:51 -75039.886323] SLOW spr round 8 (radius: 15) [09:38:49 -75033.531939] SLOW spr round 9 (radius: 5) [09:41:37 -75032.477011] SLOW spr round 10 (radius: 5) [09:44:06 -75032.476126] SLOW spr round 11 (radius: 10) [09:46:29 -75032.476047] SLOW spr round 12 (radius: 15) [09:50:23 -75031.931280] SLOW spr round 13 (radius: 5) [09:53:09 -75031.929419] SLOW spr round 14 (radius: 10) [09:55:52 -75031.929298] SLOW spr round 15 (radius: 15) [09:59:36 -75031.825289] SLOW spr round 16 (radius: 5) [10:02:22 -75031.824960] SLOW spr round 17 (radius: 10) [10:05:05 -75031.824923] SLOW spr round 18 (radius: 15) [10:08:49 -75031.613693] SLOW spr round 19 (radius: 5) [10:11:37 -75030.619891] SLOW spr round 20 (radius: 5) [10:14:05 -75030.619774] SLOW spr round 21 (radius: 10) [10:16:07] [worker #1] ML tree search #11, logLikelihood: -75045.074110 [10:16:29 -75030.619769] SLOW spr round 22 (radius: 15) [10:20:21 -75030.619765] SLOW spr round 23 (radius: 20) [10:25:30 -75030.308032] SLOW spr round 24 (radius: 5) [10:28:20 -75030.307537] SLOW spr round 25 (radius: 10) [10:31:09 -75030.307258] SLOW spr round 26 (radius: 15) [10:34:50 -75030.307044] SLOW spr round 27 (radius: 20) [10:40:02 -75030.306879] SLOW spr round 28 (radius: 25) [10:46:26 -75029.856042] SLOW spr round 29 (radius: 5) [10:49:18 -75029.854505] SLOW spr round 30 (radius: 10) [10:52:10 -75029.854373] SLOW spr round 31 (radius: 15) [10:55:53 -75029.854312] SLOW spr round 32 (radius: 20) [11:01:06 -75029.854267] SLOW spr round 33 (radius: 25) [11:07:30 -75029.854231] Model parameter optimization (eps = 0.100000) [11:07:35] [worker #0] ML tree search #13, logLikelihood: -75029.767367 [11:07:35 -252355.294286] Initial branch length optimization [11:07:41 -214048.412779] Model parameter optimization (eps = 10.000000) [11:08:20 -213823.090014] AUTODETECT spr round 1 (radius: 5) [11:10:52 -156107.207399] AUTODETECT spr round 2 (radius: 10) [11:14:06 -117564.916227] AUTODETECT spr round 3 (radius: 15) [11:17:05 -99536.307862] AUTODETECT spr round 4 (radius: 20) [11:20:57 -88047.810030] AUTODETECT spr round 5 (radius: 25) [11:23:55] [worker #2] ML tree search #18, logLikelihood: -75044.076889 [11:26:56 -84252.866127] SPR radius for FAST iterations: 25 (autodetect) [11:26:56 -84252.866127] Model parameter optimization (eps = 3.000000) [11:27:37 -84022.089215] FAST spr round 1 (radius: 25) [11:31:16 -75569.087528] FAST spr round 2 (radius: 25) [11:33:52 -75197.231572] FAST spr round 3 (radius: 25) [11:36:06 -75132.481392] FAST spr round 4 (radius: 25) [11:38:10 -75115.640194] FAST spr round 5 (radius: 25) [11:40:05 -75114.649424] FAST spr round 6 (radius: 25) [11:41:55 -75114.646270] Model parameter optimization (eps = 1.000000) [11:42:11 -75106.840060] SLOW spr round 1 (radius: 5) [11:44:35 -75091.093544] SLOW spr round 2 (radius: 5) [11:46:57 -75087.065387] SLOW spr round 3 (radius: 5) [11:49:12 -75087.048677] SLOW spr round 4 (radius: 10) [11:51:28 -75086.390190] SLOW spr round 5 (radius: 5) [11:54:10 -75085.472694] SLOW spr round 6 (radius: 5) [11:56:39 -75083.147189] SLOW spr round 7 (radius: 5) [11:58:58 -75083.147035] SLOW spr round 8 (radius: 10) [12:01:15 -75083.147023] SLOW spr round 9 (radius: 15) [12:05:10 -75080.352310] SLOW spr round 10 (radius: 5) [12:08:03 -75077.111846] SLOW spr round 11 (radius: 5) [12:10:32 -75077.070873] SLOW spr round 12 (radius: 10) [12:12:56 -75077.070680] SLOW spr round 13 (radius: 15) [12:16:41 -75076.007972] SLOW spr round 14 (radius: 5) [12:19:32 -75074.150843] SLOW spr round 15 (radius: 5) [12:22:01 -75074.150745] SLOW spr round 16 (radius: 10) [12:22:13] [worker #1] ML tree search #14, logLikelihood: -75047.197438 [12:24:26 -75074.150728] SLOW spr round 17 (radius: 15) [12:28:09 -75073.505947] SLOW spr round 18 (radius: 5) [12:30:56 -75073.504780] SLOW spr round 19 (radius: 10) [12:33:37 -75073.504590] SLOW spr round 20 (radius: 15) [12:37:14 -75073.504557] SLOW spr round 21 (radius: 20) [12:42:31 -75073.504550] SLOW spr round 22 (radius: 25) [12:48:38 -75072.767088] SLOW spr round 23 (radius: 5) [12:51:31 -75072.665110] SLOW spr round 24 (radius: 5) [12:54:05 -75072.664380] SLOW spr round 25 (radius: 10) [12:56:32 -75072.664357] SLOW spr round 26 (radius: 15) [13:00:13 -75072.664355] SLOW spr round 27 (radius: 20) [13:05:29 -75072.664353] SLOW spr round 28 (radius: 25) [13:11:34 -75072.664352] Model parameter optimization (eps = 0.100000) [13:11:39] [worker #0] ML tree search #16, logLikelihood: -75072.658204 [13:11:39 -252582.557311] Initial branch length optimization [13:11:47 -214901.540435] Model parameter optimization (eps = 10.000000) [13:12:30 -214774.241645] AUTODETECT spr round 1 (radius: 5) [13:15:08 -156079.651466] AUTODETECT spr round 2 (radius: 10) [13:17:59 -119754.332077] AUTODETECT spr round 3 (radius: 15) [13:21:03 -101525.474352] AUTODETECT spr round 4 (radius: 20) [13:24:38 -91945.280703] AUTODETECT spr round 5 (radius: 25) [13:29:16 -86985.194353] SPR radius for FAST iterations: 25 (autodetect) [13:29:16 -86985.194353] Model parameter optimization (eps = 3.000000) [13:29:55 -86688.646972] FAST spr round 1 (radius: 25) [13:34:44 -76246.878879] FAST spr round 2 (radius: 25) [13:37:29 -75261.203813] FAST spr round 3 (radius: 25) [13:39:52 -75158.944002] FAST spr round 4 (radius: 25) [13:42:00 -75147.739733] FAST spr round 5 (radius: 25) [13:43:53 -75146.560451] FAST spr round 6 (radius: 25) [13:45:45 -75137.618127] FAST spr round 7 (radius: 25) [13:47:34 -75133.345016] FAST spr round 8 (radius: 25) [13:49:19 -75131.332489] FAST spr round 9 (radius: 25) [13:51:03 -75131.332397] Model parameter optimization (eps = 1.000000) [13:51:20 -75127.277896] SLOW spr round 1 (radius: 5) [13:53:41 -75107.989580] SLOW spr round 2 (radius: 5) [13:55:58 -75099.658822] SLOW spr round 3 (radius: 5) [13:58:15 -75097.217855] SLOW spr round 4 (radius: 5) [14:00:31 -75090.979238] SLOW spr round 5 (radius: 5) [14:02:45 -75085.014659] SLOW spr round 6 (radius: 5) [14:05:01 -75078.642896] SLOW spr round 7 (radius: 5) [14:07:13 -75078.329117] SLOW spr round 8 (radius: 5) [14:09:23 -75078.328869] SLOW spr round 9 (radius: 10) [14:11:40 -75076.220922] SLOW spr round 10 (radius: 5) [14:13:55] [worker #1] ML tree search #17, logLikelihood: -75088.918646 [14:14:26 -75074.305944] SLOW spr round 11 (radius: 5) [14:16:55 -75072.603088] SLOW spr round 12 (radius: 5) [14:19:14 -75072.255824] SLOW spr round 13 (radius: 5) [14:21:29 -75072.254708] SLOW spr round 14 (radius: 10) [14:23:47 -75071.802976] SLOW spr round 15 (radius: 5) [14:26:28 -75071.778987] SLOW spr round 16 (radius: 10) [14:29:05 -75070.219199] SLOW spr round 17 (radius: 5) [14:31:45 -75066.013991] SLOW spr round 18 (radius: 5) [14:34:09 -75065.762792] SLOW spr round 19 (radius: 5) [14:36:26 -75065.762727] SLOW spr round 20 (radius: 10) [14:38:44 -75065.762723] SLOW spr round 21 (radius: 15) [14:42:53 -75058.600201] SLOW spr round 22 (radius: 5) [14:45:40 -75058.317451] SLOW spr round 23 (radius: 5) [14:48:09 -75058.316676] SLOW spr round 24 (radius: 10) [14:50:35 -75058.316670] SLOW spr round 25 (radius: 15) [14:54:32 -75056.940503] SLOW spr round 26 (radius: 5) [14:57:21 -75054.095392] SLOW spr round 27 (radius: 5) [14:59:50 -75054.094197] SLOW spr round 28 (radius: 10) [15:02:16 -75054.094140] SLOW spr round 29 (radius: 15) [15:06:13 -75053.464768] SLOW spr round 30 (radius: 5) [15:09:01 -75051.113922] SLOW spr round 31 (radius: 5) [15:11:30 -75050.448116] SLOW spr round 32 (radius: 5) [15:13:48 -75050.447168] SLOW spr round 33 (radius: 10) [15:16:07 -75050.447034] SLOW spr round 34 (radius: 15) [15:20:09 -75050.044636] SLOW spr round 35 (radius: 5) [15:22:55 -75049.776416] SLOW spr round 36 (radius: 5) [15:25:23 -75049.775703] SLOW spr round 37 (radius: 10) [15:27:48 -75049.775659] SLOW spr round 38 (radius: 15) [15:31:44 -75049.482975] SLOW spr round 39 (radius: 5) [15:34:30 -75049.476436] SLOW spr round 40 (radius: 10) [15:37:13 -75049.180816] SLOW spr round 41 (radius: 5) [15:39:50 -75049.180154] SLOW spr round 42 (radius: 10) [15:42:22 -75049.180130] SLOW spr round 43 (radius: 15) [15:46:12 -75049.180129] SLOW spr round 44 (radius: 20) [15:51:49 -75049.180129] SLOW spr round 45 (radius: 25) [15:58:47 -75049.180129] Model parameter optimization (eps = 0.100000) [15:58:59] [worker #0] ML tree search #19, logLikelihood: -75048.910120 [16:06:47] [worker #1] ML tree search #20, logLikelihood: -75052.401943 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.271616,0.216657) (0.086438,1.519838) (0.339989,0.866383) (0.301957,1.706269) 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: -75029.767367 AIC score: 154069.534734 / AICc score: 8198129.534734 / BIC score: 160260.165386 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=162). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 213 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6UXH1/3_mltree/Q6UXH1.raxml.log Analysis started: 05-Jul-2021 18:46:03 / finished: 06-Jul-2021 10:52:51 Elapsed time: 58008.215 seconds Consumed energy: 4831.485 Wh (= 24 km in an electric car, or 121 km with an e-scooter!)