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 07-Jul-2021 05:43:11 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/2_msa/P0C7U3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3 --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/P0C7U3/2_msa/P0C7U3_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 143 sites WARNING: Sequences tr_V7CK99_V7CK99_PHAVU_3885 and tr_A0A0L9UTN9_A0A0L9UTN9_PHAAN_3914 are exactly identical! WARNING: Sequences tr_V7CK99_V7CK99_PHAVU_3885 and tr_A0A1S3TGM7_A0A1S3TGM7_VIGRR_3916 are exactly identical! WARNING: Sequences tr_B4Q611_B4Q611_DROSI_7240 and tr_B4ICU1_B4ICU1_DROSE_7238 are exactly identical! WARNING: Sequences tr_E2ARV3_E2ARV3_CAMFO_104421 and tr_A0A158NYE6_A0A158NYE6_ATTCE_12957 are exactly identical! WARNING: Sequences tr_E2ARV3_E2ARV3_CAMFO_104421 and tr_A0A151J553_A0A151J553_9HYME_471704 are exactly identical! WARNING: Sequences tr_E2ARV3_E2ARV3_CAMFO_104421 and tr_A0A195AYF8_A0A195AYF8_9HYME_520822 are exactly identical! WARNING: Sequences tr_E2ARV3_E2ARV3_CAMFO_104421 and tr_A0A195F742_A0A195F742_9HYME_34720 are exactly identical! WARNING: Sequences sp_Q5Y5T5_ZDHC8_MOUSE_10090 and tr_Q2THW6_Q2THW6_RAT_10116 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_G1P457_G1P457_MYOLU_59463 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_G3QZH8_G3QZH8_GORGO_9595 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2I3RMV7_A0A2I3RMV7_PANTR_9598 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_W5NYB5_W5NYB5_SHEEP_9940 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_Q2TGK5_Q2TGK5_RAT_10116 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_F6WYM4_F6WYM4_MACMU_9544 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_G3SUN0_G3SUN0_LOXAF_9785 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_F7HKL4_F7HKL4_CALJA_9483 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_E1BE85_E1BE85_BOVIN_9913 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_M3WNV2_M3WNV2_FELCA_9685 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A1S3EUF8_A0A1S3EUF8_DIPOR_10020 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2K6DIB0_A0A2K6DIB0_MACNE_9545 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2R9AC46_A0A2R9AC46_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2U4BCW4_A0A2U4BCW4_TURTR_9739 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2Y9QGV1_A0A2Y9QGV1_TRIMA_127582 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2Y9P9W0_A0A2Y9P9W0_DELLE_9749 are exactly identical! WARNING: Sequences sp_Q8R0N9_ZDHC1_MOUSE_10090 and tr_A0A2Y9SQ01_A0A2Y9SQ01_PHYCD_9755 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_E2RJP7_E2RJP7_CANLF_9615 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_G1MG82_G1MG82_AILME_9646 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_A0A2U3ZQV5_A0A2U3ZQV5_ODORO_9708 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_A0A2U3YCT6_A0A2U3YCT6_LEPWE_9713 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_A0A2Y9K264_A0A2Y9K264_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M3Y4H9_M3Y4H9_MUSPF_9669 and tr_A0A384D183_A0A384D183_URSMA_29073 are exactly identical! WARNING: Sequences tr_Q9VKB1_Q9VKB1_DROME_7227 and tr_B4IE66_B4IE66_DROSE_7238 are exactly identical! WARNING: Sequences tr_Q9VKB1_Q9VKB1_DROME_7227 and tr_A0A1W4VBZ7_A0A1W4VBZ7_DROFC_30025 are exactly identical! WARNING: Sequences tr_B4JBT9_B4JBT9_DROGR_7222 and tr_B4LSF8_B4LSF8_DROVI_7244 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_K7DNY2_K7DNY2_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and sp_Q2THX0_ZDHC8_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_H0Y0Y7_H0Y0Y7_OTOGA_30611 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and sp_Q9ULC8_ZDHC8_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_F6V8R0_F6V8R0_MACMU_9544 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_U3CZ03_U3CZ03_CALJA_9483 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_M3W1Q0_M3W1Q0_FELCA_9685 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_A0A2I3LXQ9_A0A2I3LXQ9_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_A0A0D9RIB1_A0A0D9RIB1_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_A0A2K6B672_A0A2K6B672_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_A0A2U3WZG0_A0A2U3WZG0_ODORO_9708 are exactly identical! WARNING: Sequences tr_A0A2I3HZQ0_A0A2I3HZQ0_NOMLE_61853 and tr_A0A2Y9IUS1_A0A2Y9IUS1_ENHLU_391180 are exactly identical! WARNING: Sequences tr_B2W9G8_B2W9G8_PYRTR_426418 and tr_A0A2W1G475_A0A2W1G475_9PLEO_45151 are exactly identical! WARNING: Sequences tr_G3SEX1_G3SEX1_GORGO_9595 and tr_H2RDC5_H2RDC5_PANTR_9598 are exactly identical! WARNING: Sequences tr_H2P3N7_H2P3N7_PONAB_9601 and tr_A0A1U7TW36_A0A1U7TW36_TARSY_1868482 are exactly identical! WARNING: Sequences tr_H2P3N7_H2P3N7_PONAB_9601 and tr_A0A2U3YRZ8_A0A2U3YRZ8_LEPWE_9713 are exactly identical! WARNING: Sequences tr_G1TKY0_G1TKY0_RABIT_9986 and tr_G5CA29_G5CA29_HETGA_10181 are exactly identical! WARNING: Sequences tr_B5DHZ9_B5DHZ9_DROPS_46245 and tr_B3MVH4_B3MVH4_DROAN_7217 are exactly identical! WARNING: Sequences tr_B5DHZ9_B5DHZ9_DROPS_46245 and tr_B4G856_B4G856_DROPE_7234 are exactly identical! WARNING: Sequences tr_B5E0C5_B5E0C5_DROPS_46245 and tr_B4GB93_B4GB93_DROPE_7234 are exactly identical! WARNING: Sequences tr_Q29NW1_Q29NW1_DROPS_46245 and tr_B4GJP3_B4GJP3_DROPE_7234 are exactly identical! WARNING: Sequences tr_H9GZP0_H9GZP0_HORSE_9796 and tr_A0A1S3GEC8_A0A1S3GEC8_DIPOR_10020 are exactly identical! WARNING: Sequences tr_A0A087ZX11_A0A087ZX11_APIME_7460 and tr_A0A2A3EKM2_A0A2A3EKM2_APICC_94128 are exactly identical! WARNING: Sequences tr_A0A087ZYY1_A0A087ZYY1_APIME_7460 and tr_A0A2A3EDW4_A0A2A3EDW4_APICC_94128 are exactly identical! WARNING: Sequences tr_A0A158NV05_A0A158NV05_ATTCE_12957 and tr_A0A195BVE3_A0A195BVE3_9HYME_520822 are exactly identical! WARNING: Sequences tr_I3N934_I3N934_ICTTR_43179 and tr_H0UU83_H0UU83_CAVPO_10141 are exactly identical! WARNING: Sequences sp_Q8WTX9_ZDHC1_HUMAN_9606 and tr_A0A384BEL5_A0A384BEL5_BALAS_310752 are exactly identical! WARNING: Sequences tr_A0A0E0GIS7_A0A0E0GIS7_ORYNI_4536 and tr_A0A0E0CX06_A0A0E0CX06_9ORYZ_40149 are exactly identical! WARNING: Sequences tr_A0A0E0GIS7_A0A0E0GIS7_ORYNI_4536 and tr_A0A0E0NRC7_A0A0E0NRC7_ORYRU_4529 are exactly identical! WARNING: Sequences tr_A0A0E0GIS7_A0A0E0GIS7_ORYNI_4536 and tr_A0A0D9Z3R0_A0A0D9Z3R0_9ORYZ_40148 are exactly identical! WARNING: Sequences tr_A2QVR5_A2QVR5_ASPNC_425011 and tr_A0A319A9M5_A0A319A9M5_9EURO_1450533 are exactly identical! WARNING: Sequences tr_G7XAR9_G7XAR9_ASPKW_1033177 and tr_A0A117E110_A0A117E110_ASPNG_5061 are exactly identical! WARNING: Sequences tr_G7XAR9_G7XAR9_ASPKW_1033177 and tr_A0A146F7U1_A0A146F7U1_9EURO_1069201 are exactly identical! WARNING: Sequences tr_A2YNB4_A2YNB4_ORYSI_39946 and tr_I1QBW2_I1QBW2_ORYGL_4538 are exactly identical! WARNING: Sequences tr_B8AQH2_B8AQH2_ORYSI_39946 and tr_Q10Q54_Q10Q54_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_B8B9F6_B8B9F6_ORYSI_39946 and tr_I1QKB9_I1QKB9_ORYGL_4538 are exactly identical! WARNING: Sequences tr_B8B9F6_B8B9F6_ORYSI_39946 and tr_Q6ZJ22_Q6ZJ22_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_B8BEL1_B8BEL1_ORYSI_39946 and tr_A0A0E0B6M9_A0A0E0B6M9_9ORYZ_40148 are exactly identical! WARNING: Sequences tr_B8BEL1_B8BEL1_ORYSI_39946 and tr_A0A0P0XQE0_A0A0P0XQE0_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_Q7PWK8_Q7PWK8_ANOGA_7165 and tr_A0A084VL20_A0A084VL20_ANOSI_74873 are exactly identical! WARNING: Sequences tr_I1QTI5_I1QTI5_ORYGL_4538 and tr_A0A0D3HCF1_A0A0D3HCF1_9ORYZ_65489 are exactly identical! WARNING: Sequences tr_I1QTI5_I1QTI5_ORYGL_4538 and tr_Q339R3_Q339R3_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_G3SP05_G3SP05_LOXAF_9785 and tr_A0A2Y9EAG5_A0A2Y9EAG5_TRIMA_127582 are exactly identical! WARNING: Sequences tr_A0A0E0NAU6_A0A0E0NAU6_ORYRU_4529 and tr_A0A0D3F1N0_A0A0D3F1N0_9ORYZ_65489 are exactly identical! WARNING: Sequences tr_A0A287AAT6_A0A287AAT6_PIG_9823 and tr_A0A2U4A6L6_A0A2U4A6L6_TURTR_9739 are exactly identical! WARNING: Sequences tr_A0A287AAT6_A0A287AAT6_PIG_9823 and tr_A0A2Y9LIU8_A0A2Y9LIU8_DELLE_9749 are exactly identical! WARNING: Sequences tr_A0A287AAT6_A0A287AAT6_PIG_9823 and tr_A0A2Y9FBG9_A0A2Y9FBG9_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A287AAT6_A0A287AAT6_PIG_9823 and tr_A0A384BAT8_A0A384BAT8_BALAS_310752 are exactly identical! WARNING: Sequences tr_M4D1Y6_M4D1Y6_BRARP_51351 and tr_A0A078GJR0_A0A078GJR0_BRANA_3708 are exactly identical! WARNING: Sequences tr_M4FB39_M4FB39_BRARP_51351 and tr_A0A078I1X9_A0A078I1X9_BRANA_3708 are exactly identical! WARNING: Sequences tr_W2Q565_W2Q565_PHYPN_761204 and tr_W2L6B7_W2L6B7_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A3B6SE63_A0A3B6SE63_WHEAT_4565 and tr_A0A3B6TJH2_A0A3B6TJH2_WHEAT_4565 are exactly identical! WARNING: Sequences tr_A0A015M2I8_A0A015M2I8_9GLOM_1432141 and tr_A0A2I1GIC4_A0A2I1GIC4_9GLOM_588596 are exactly identical! WARNING: Sequences tr_A0A015M2I8_A0A015M2I8_9GLOM_1432141 and tr_A0A2H5UI46_A0A2H5UI46_RHIID_747089 are exactly identical! WARNING: Sequences tr_A0A067DZX1_A0A067DZX1_CITSI_2711 and tr_A0A2H5Q291_A0A2H5Q291_CITUN_55188 are exactly identical! WARNING: Sequences tr_A0A067FMF0_A0A067FMF0_CITSI_2711 and tr_V4SQN2_V4SQN2_9ROSI_85681 are exactly identical! WARNING: Sequences tr_A0A096NR08_A0A096NR08_PAPAN_9555 and tr_A0A2K5LCV5_A0A2K5LCV5_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096NR08_A0A096NR08_PAPAN_9555 and tr_A0A2K5XUU3_A0A2K5XUU3_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A078F841_A0A078F841_BRANA_3708 and tr_A0A0D3BAE6_A0A0D3BAE6_BRAOL_109376 are exactly identical! WARNING: Sequences tr_A0A078HQN2_A0A078HQN2_BRANA_3708 and tr_A0A0D3CZ84_A0A0D3CZ84_BRAOL_109376 are exactly identical! WARNING: Sequences tr_R0HYH1_R0HYH1_9BRAS_81985 and tr_V4MAT3_V4MAT3_EUTSA_72664 are exactly identical! WARNING: Sequences tr_A0A0D2RH98_A0A0D2RH98_GOSRA_29730 and tr_A0A1U8JZL8_A0A1U8JZL8_GOSHI_3635 are exactly identical! WARNING: Sequences tr_A0A1S3XQB4_A0A1S3XQB4_TOBAC_4097 and tr_A0A1J6JZR6_A0A1J6JZR6_NICAT_49451 are exactly identical! WARNING: Sequences tr_A0A1S3XQB4_A0A1S3XQB4_TOBAC_4097 and tr_A0A1U7WMI6_A0A1U7WMI6_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1S3YUD2_A0A1S3YUD2_TOBAC_4097 and tr_A0A1S4DRH6_A0A1S4DRH6_TOBAC_4097 are exactly identical! WARNING: Sequences tr_A0A1S3YUD2_A0A1S3YUD2_TOBAC_4097 and tr_A0A1J6HW95_A0A1J6HW95_NICAT_49451 are exactly identical! WARNING: Sequences tr_A0A1S3YUD2_A0A1S3YUD2_TOBAC_4097 and tr_A0A1U7V958_A0A1U7V958_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1S4A9Y5_A0A1S4A9Y5_TOBAC_4097 and tr_A0A314L8F7_A0A314L8F7_NICAT_49451 are exactly identical! WARNING: Sequences tr_A0A1S4A9Y5_A0A1S4A9Y5_TOBAC_4097 and tr_A0A1U7VJX1_A0A1U7VJX1_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1S4DGB3_A0A1S4DGB3_TOBAC_4097 and tr_A0A1U7X2B0_A0A1U7X2B0_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1L9N0C1_A0A1L9N0C1_ASPTU_767770 and tr_A0A317UVQ1_A0A317UVQ1_9EURO_1448314 are exactly identical! WARNING: Sequences tr_A0A1U8GRR7_A0A1U8GRR7_CAPAN_4072 and tr_A0A2G3CIX0_A0A2G3CIX0_CAPCH_80379 are exactly identical! WARNING: Sequences tr_A0A2G2YD95_A0A2G2YD95_CAPAN_4072 and tr_A0A2G3B7F3_A0A2G3B7F3_CAPCH_80379 are exactly identical! WARNING: Sequences tr_A0A2K5MP14_A0A2K5MP14_CERAT_9531 and tr_A0A2K5ZMM8_A0A2K5ZMM8_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2V5J5Y3_A0A2V5J5Y3_9EURO_1450541 and tr_A0A2V5GY48_A0A2V5GY48_9EURO_1450538 are exactly identical! WARNING: Duplicate sequences found: 109 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/P0C7U3/3_mltree/P0C7U3.raxml.reduced.phy Alignment comprises 1 partitions and 142 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 143 / 142 Gaps: 5.90 % Invariant sites: 2.80 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.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 / 142 / 11360 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -287672.687070] Initial branch length optimization [00:00:05 -236381.124459] Model parameter optimization (eps = 10.000000) [00:00:41 -235446.423214] AUTODETECT spr round 1 (radius: 5) [00:02:55 -169446.034516] AUTODETECT spr round 2 (radius: 10) [00:05:17 -130913.666427] AUTODETECT spr round 3 (radius: 15) [00:08:02 -99058.135465] AUTODETECT spr round 4 (radius: 20) [00:11:03 -89707.822555] AUTODETECT spr round 5 (radius: 25) [00:14:10 -84299.724137] SPR radius for FAST iterations: 25 (autodetect) [00:14:10 -84299.724137] Model parameter optimization (eps = 3.000000) [00:14:48 -83696.551877] FAST spr round 1 (radius: 25) [00:17:14 -72565.811399] FAST spr round 2 (radius: 25) [00:19:10 -72000.374956] FAST spr round 3 (radius: 25) [00:20:54 -71839.918032] FAST spr round 4 (radius: 25) [00:22:31 -71820.694246] FAST spr round 5 (radius: 25) [00:24:04 -71815.782430] FAST spr round 6 (radius: 25) [00:25:34 -71815.167991] FAST spr round 7 (radius: 25) [00:27:03 -71815.166810] Model parameter optimization (eps = 1.000000) [00:27:32 -71804.927232] SLOW spr round 1 (radius: 5) [00:29:31 -71780.322051] SLOW spr round 2 (radius: 5) [00:31:28 -71777.208829] SLOW spr round 3 (radius: 5) [00:33:19 -71777.207216] SLOW spr round 4 (radius: 10) [00:35:12 -71777.207108] SLOW spr round 5 (radius: 15) [00:37:59 -71776.540670] SLOW spr round 6 (radius: 5) [00:40:25 -71776.161951] SLOW spr round 7 (radius: 5) [00:42:32 -71776.161852] SLOW spr round 8 (radius: 10) [00:44:29 -71776.161845] SLOW spr round 9 (radius: 15) [00:47:13 -71776.161844] SLOW spr round 10 (radius: 20) [00:51:32 -71775.311841] SLOW spr round 11 (radius: 5) [00:53:58 -71775.311818] SLOW spr round 12 (radius: 10) [00:55:32] [worker #2] ML tree search #3, logLikelihood: -71795.278273 [00:56:07 -71775.311817] SLOW spr round 13 (radius: 15) [00:58:45 -71775.311817] SLOW spr round 14 (radius: 20) [01:03:07 -71775.311817] SLOW spr round 15 (radius: 25) [01:08:35 -71775.311817] Model parameter optimization (eps = 0.100000) [01:08:41] [worker #0] ML tree search #1, logLikelihood: -71775.284405 [01:08:41 -288013.609761] Initial branch length optimization [01:08:45 -235455.623056] Model parameter optimization (eps = 10.000000) [01:09:47 -234540.342771] AUTODETECT spr round 1 (radius: 5) [01:11:59 -168821.434862] AUTODETECT spr round 2 (radius: 10) [01:14:17 -125482.973269] AUTODETECT spr round 3 (radius: 15) [01:16:56 -102884.848268] AUTODETECT spr round 4 (radius: 20) [01:19:59 -90657.878339] AUTODETECT spr round 5 (radius: 25) [01:22:51 -88306.697407] SPR radius for FAST iterations: 25 (autodetect) [01:22:51 -88306.697407] Model parameter optimization (eps = 3.000000) [01:23:20 -87771.208074] FAST spr round 1 (radius: 25) [01:26:02 -73309.119409] FAST spr round 2 (radius: 25) [01:28:04 -71935.869749] FAST spr round 3 (radius: 25) [01:29:49 -71849.118715] FAST spr round 4 (radius: 25) [01:31:26 -71835.469569] FAST spr round 5 (radius: 25) [01:32:25] [worker #1] ML tree search #2, logLikelihood: -71770.022871 [01:32:58 -71833.630693] FAST spr round 6 (radius: 25) [01:34:29 -71833.629371] Model parameter optimization (eps = 1.000000) [01:34:45 -71828.709292] SLOW spr round 1 (radius: 5) [01:36:45 -71810.176186] SLOW spr round 2 (radius: 5) [01:38:42 -71805.105529] SLOW spr round 3 (radius: 5) [01:40:34 -71805.082326] SLOW spr round 4 (radius: 10) [01:42:26 -71805.081363] SLOW spr round 5 (radius: 15) [01:45:07 -71804.227273] SLOW spr round 6 (radius: 5) [01:47:30 -71801.908752] SLOW spr round 7 (radius: 5) [01:49:36 -71801.908751] SLOW spr round 8 (radius: 10) [01:51:32 -71801.908749] SLOW spr round 9 (radius: 15) [01:53:19] [worker #2] ML tree search #6, logLikelihood: -71796.206534 [01:54:08 -71801.908749] SLOW spr round 10 (radius: 20) [01:58:09 -71801.908749] SLOW spr round 11 (radius: 25) [02:03:05 -71801.908749] Model parameter optimization (eps = 0.100000) [02:03:10] [worker #0] ML tree search #4, logLikelihood: -71801.900976 [02:03:10 -288406.083054] Initial branch length optimization [02:03:16 -235610.185271] Model parameter optimization (eps = 10.000000) [02:03:50 -234723.113329] AUTODETECT spr round 1 (radius: 5) [02:06:02 -170234.174989] AUTODETECT spr round 2 (radius: 10) [02:08:24 -123513.499429] AUTODETECT spr round 3 (radius: 15) [02:11:03 -102846.656298] AUTODETECT spr round 4 (radius: 20) [02:13:54 -95061.486457] AUTODETECT spr round 5 (radius: 25) [02:17:11 -89582.734826] SPR radius for FAST iterations: 25 (autodetect) [02:17:11 -89582.734826] Model parameter optimization (eps = 3.000000) [02:17:39 -88931.508395] FAST spr round 1 (radius: 25) [02:20:35 -73104.247499] FAST spr round 2 (radius: 25) [02:22:33 -72468.588054] FAST spr round 3 (radius: 25) [02:23:18] [worker #1] ML tree search #5, logLikelihood: -71783.773708 [02:24:23 -71948.245916] FAST spr round 4 (radius: 25) [02:26:05 -71868.937910] FAST spr round 5 (radius: 25) [02:27:39 -71863.550569] FAST spr round 6 (radius: 25) [02:29:11 -71863.550506] Model parameter optimization (eps = 1.000000) [02:29:23 -71858.528150] SLOW spr round 1 (radius: 5) [02:31:21 -71836.153366] SLOW spr round 2 (radius: 5) [02:33:18 -71834.350330] SLOW spr round 3 (radius: 5) [02:35:11 -71834.044488] SLOW spr round 4 (radius: 5) [02:37:03 -71834.044483] SLOW spr round 5 (radius: 10) [02:38:56 -71833.930153] SLOW spr round 6 (radius: 5) [02:41:16 -71833.211587] SLOW spr round 7 (radius: 5) [02:43:20 -71833.066023] SLOW spr round 8 (radius: 5) [02:45:17 -71832.768850] SLOW spr round 9 (radius: 5) [02:47:12 -71832.613004] SLOW spr round 10 (radius: 5) [02:49:05 -71832.613003] SLOW spr round 11 (radius: 10) [02:50:18] [worker #2] ML tree search #9, logLikelihood: -71809.116037 [02:50:58 -71832.613003] SLOW spr round 12 (radius: 15) [02:53:44 -71829.683313] SLOW spr round 13 (radius: 5) [02:56:09 -71829.683288] SLOW spr round 14 (radius: 10) [02:58:17 -71829.683287] SLOW spr round 15 (radius: 15) [03:00:53 -71829.683287] SLOW spr round 16 (radius: 20) [03:05:02 -71829.477091] SLOW spr round 17 (radius: 5) [03:07:29 -71829.474992] SLOW spr round 18 (radius: 10) [03:09:39 -71829.474840] SLOW spr round 19 (radius: 15) [03:12:14 -71829.474832] SLOW spr round 20 (radius: 20) [03:16:25 -71829.474831] SLOW spr round 21 (radius: 25) [03:21:21 -71829.474831] Model parameter optimization (eps = 0.100000) [03:21:26] [worker #0] ML tree search #7, logLikelihood: -71829.453604 [03:21:26 -286738.106228] Initial branch length optimization [03:21:31 -234866.921535] Model parameter optimization (eps = 10.000000) [03:22:07 -233965.917542] AUTODETECT spr round 1 (radius: 5) [03:24:19 -166164.764093] AUTODETECT spr round 2 (radius: 10) [03:26:38 -124428.587441] AUTODETECT spr round 3 (radius: 15) [03:29:25 -108675.279673] AUTODETECT spr round 4 (radius: 20) [03:32:34 -93893.696138] AUTODETECT spr round 5 (radius: 25) [03:33:54] [worker #1] ML tree search #8, logLikelihood: -71765.314891 [03:35:55 -88257.605296] SPR radius for FAST iterations: 25 (autodetect) [03:35:55 -88257.605296] Model parameter optimization (eps = 3.000000) [03:36:03 -88254.029290] FAST spr round 1 (radius: 25) [03:39:07 -73396.047018] FAST spr round 2 (radius: 25) [03:41:27 -72393.192725] FAST spr round 3 (radius: 25) [03:43:20 -72313.004913] FAST spr round 4 (radius: 25) [03:45:04 -72244.049029] FAST spr round 5 (radius: 25) [03:46:43 -72230.483710] FAST spr round 6 (radius: 25) [03:48:17 -72229.112361] FAST spr round 7 (radius: 25) [03:49:48 -72229.112124] Model parameter optimization (eps = 1.000000) [03:50:16 -71867.693075] SLOW spr round 1 (radius: 5) [03:51:46] [worker #2] ML tree search #12, logLikelihood: -71795.304097 [03:52:14 -71798.114164] SLOW spr round 2 (radius: 5) [03:54:11 -71778.154188] SLOW spr round 3 (radius: 5) [03:56:05 -71778.153498] SLOW spr round 4 (radius: 10) [03:57:58 -71777.954317] SLOW spr round 5 (radius: 5) [04:00:16 -71777.951375] SLOW spr round 6 (radius: 10) [04:02:17 -71777.951371] SLOW spr round 7 (radius: 15) [04:04:52 -71777.951371] SLOW spr round 8 (radius: 20) [04:08:49 -71777.951371] SLOW spr round 9 (radius: 25) [04:13:44 -71777.951371] Model parameter optimization (eps = 0.100000) [04:13:53] [worker #0] ML tree search #10, logLikelihood: -71777.327758 [04:13:53 -286889.531227] Initial branch length optimization [04:13:57 -233619.720955] Model parameter optimization (eps = 10.000000) [04:14:45 -232692.523525] AUTODETECT spr round 1 (radius: 5) [04:16:58 -168929.949057] AUTODETECT spr round 2 (radius: 10) [04:19:19 -131482.826098] AUTODETECT spr round 3 (radius: 15) [04:22:07 -107414.549758] AUTODETECT spr round 4 (radius: 20) [04:25:07 -102764.450726] AUTODETECT spr round 5 (radius: 25) [04:28:56 -93617.540000] SPR radius for FAST iterations: 25 (autodetect) [04:28:56 -93617.540000] Model parameter optimization (eps = 3.000000) [04:29:27 -92982.189911] FAST spr round 1 (radius: 25) [04:32:31 -73316.548828] FAST spr round 2 (radius: 25) [04:34:32 -71965.524421] FAST spr round 3 (radius: 25) [04:36:19 -71864.623052] FAST spr round 4 (radius: 25) [04:38:02 -71846.274028] FAST spr round 5 (radius: 25) [04:39:36 -71839.742436] FAST spr round 6 (radius: 25) [04:41:07 -71838.350646] FAST spr round 7 (radius: 25) [04:41:24] [worker #2] ML tree search #15, logLikelihood: -71774.865963 [04:42:38 -71835.274230] FAST spr round 8 (radius: 25) [04:44:07 -71835.273499] Model parameter optimization (eps = 1.000000) [04:44:23 -71830.675608] SLOW spr round 1 (radius: 5) [04:46:21 -71820.804591] SLOW spr round 2 (radius: 5) [04:48:14 -71820.799327] SLOW spr round 3 (radius: 10) [04:50:10 -71819.169036] SLOW spr round 4 (radius: 5) [04:52:32 -71818.374181] SLOW spr round 5 (radius: 5) [04:54:37 -71818.373687] SLOW spr round 6 (radius: 10) [04:56:33 -71818.373678] SLOW spr round 7 (radius: 15) [04:59:18 -71817.442520] SLOW spr round 8 (radius: 5) [05:01:44 -71817.442399] SLOW spr round 9 (radius: 10) [05:03:52 -71817.442399] SLOW spr round 10 (radius: 15) [05:06:30 -71817.442399] SLOW spr round 11 (radius: 20) [05:10:52 -71817.442399] SLOW spr round 12 (radius: 25) [05:16:23 -71817.442399] Model parameter optimization (eps = 0.100000) [05:16:29] [worker #0] ML tree search #13, logLikelihood: -71817.422471 [05:16:29 -288215.702659] Initial branch length optimization [05:16:32 -234641.001150] Model parameter optimization (eps = 10.000000) [05:17:10 -233818.837935] AUTODETECT spr round 1 (radius: 5) [05:18:37] [worker #1] ML tree search #11, logLikelihood: -71789.361198 [05:19:23 -164878.023105] AUTODETECT spr round 2 (radius: 10) [05:21:48 -123841.819666] AUTODETECT spr round 3 (radius: 15) [05:24:17 -105261.743284] AUTODETECT spr round 4 (radius: 20) [05:27:22 -96787.010001] AUTODETECT spr round 5 (radius: 25) [05:30:37 -90937.803188] SPR radius for FAST iterations: 25 (autodetect) [05:30:37 -90937.803188] Model parameter optimization (eps = 3.000000) [05:31:11 -90307.503829] FAST spr round 1 (radius: 25) [05:34:12 -73218.992075] FAST spr round 2 (radius: 25) [05:36:14 -72029.230792] FAST spr round 3 (radius: 25) [05:38:04 -71867.519395] FAST spr round 4 (radius: 25) [05:39:46 -71837.785882] FAST spr round 5 (radius: 25) [05:41:24 -71829.651664] FAST spr round 6 (radius: 25) [05:42:57 -71826.462469] FAST spr round 7 (radius: 25) [05:44:30 -71826.462279] Model parameter optimization (eps = 1.000000) [05:44:45 -71821.636159] SLOW spr round 1 (radius: 5) [05:46:46 -71807.478732] SLOW spr round 2 (radius: 5) [05:48:43 -71806.903202] SLOW spr round 3 (radius: 5) [05:50:37 -71806.903049] SLOW spr round 4 (radius: 10) [05:52:40 -71802.327653] SLOW spr round 5 (radius: 5) [05:55:17 -71797.422263] SLOW spr round 6 (radius: 5) [05:57:37 -71795.392148] SLOW spr round 7 (radius: 5) [05:59:46 -71795.391459] SLOW spr round 8 (radius: 10) [06:01:51 -71795.391444] SLOW spr round 9 (radius: 15) [06:04:44 -71795.391443] SLOW spr round 10 (radius: 20) [06:08:27] [worker #2] ML tree search #18, logLikelihood: -71794.247356 [06:08:58 -71795.391443] SLOW spr round 11 (radius: 25) [06:14:18 -71795.391443] Model parameter optimization (eps = 0.100000) [06:14:22] [worker #0] ML tree search #16, logLikelihood: -71795.385926 [06:14:23 -288857.534883] Initial branch length optimization [06:14:28 -235642.958033] Model parameter optimization (eps = 10.000000) [06:15:11 -234749.737432] AUTODETECT spr round 1 (radius: 5) [06:17:39 -168225.160784] AUTODETECT spr round 2 (radius: 10) [06:20:09 -132454.404835] AUTODETECT spr round 3 (radius: 15) [06:22:59 -112166.055091] AUTODETECT spr round 4 (radius: 20) [06:26:18 -100358.657255] AUTODETECT spr round 5 (radius: 25) [06:27:57] [worker #1] ML tree search #14, logLikelihood: -71782.679432 [06:29:53 -92089.067154] SPR radius for FAST iterations: 25 (autodetect) [06:29:53 -92089.067154] Model parameter optimization (eps = 3.000000) [06:30:36 -91433.947588] FAST spr round 1 (radius: 25) [06:34:13 -73424.840652] FAST spr round 2 (radius: 25) [06:36:37 -71985.930299] FAST spr round 3 (radius: 25) [06:38:34 -71900.714891] FAST spr round 4 (radius: 25) [06:40:25 -71878.128901] FAST spr round 5 (radius: 25) [06:42:10 -71866.063609] FAST spr round 6 (radius: 25) [06:43:52 -71862.242258] FAST spr round 7 (radius: 25) [06:45:31 -71862.237221] Model parameter optimization (eps = 1.000000) [06:45:52 -71838.456759] SLOW spr round 1 (radius: 5) [06:48:02 -71815.966961] SLOW spr round 2 (radius: 5) [06:50:10 -71806.676312] SLOW spr round 3 (radius: 5) [06:52:14 -71802.765463] SLOW spr round 4 (radius: 5) [06:54:16 -71801.872804] SLOW spr round 5 (radius: 5) [06:56:17 -71801.872778] SLOW spr round 6 (radius: 10) [06:58:21 -71791.570742] SLOW spr round 7 (radius: 5) [07:00:55 -71786.411814] SLOW spr round 8 (radius: 5) [07:03:09 -71786.411732] SLOW spr round 9 (radius: 10) [07:05:14 -71786.411730] SLOW spr round 10 (radius: 15) [07:08:10 -71785.321855] SLOW spr round 11 (radius: 5) [07:10:48 -71785.318841] SLOW spr round 12 (radius: 10) [07:13:05 -71785.318722] SLOW spr round 13 (radius: 15) [07:15:54 -71785.318606] SLOW spr round 14 (radius: 20) [07:20:19 -71785.318474] SLOW spr round 15 (radius: 25) [07:23:05] [worker #1] ML tree search #17, logLikelihood: -71802.927454 [07:25:55 -71785.318323] Model parameter optimization (eps = 0.100000) [07:26:03] [worker #0] ML tree search #19, logLikelihood: -71785.282175 [08:42:33] [worker #1] ML tree search #20, logLikelihood: -71779.868495 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.161100,0.197875) (0.323675,1.491801) (0.438297,0.829603) (0.076929,1.581354) 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: -71765.314891 AIC score: 147540.629782 / AICc score: 8191600.629782 / BIC score: 153481.133265 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=143). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 179 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P0C7U3/3_mltree/P0C7U3.raxml.log Analysis started: 07-Jul-2021 05:43:11 / finished: 07-Jul-2021 14:25:45 Elapsed time: 31353.904 seconds Consumed energy: 2400.236 Wh (= 12 km in an electric car, or 60 km with an e-scooter!)