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 02-Jul-2021 17:55:06 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/2_msa/Q6NVY1_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/3_mltree/Q6NVY1 --seed 2 --threads 5 --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 (5 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/2_msa/Q6NVY1_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 324 sites WARNING: Sequences tr_J3K204_J3K204_COCIM_246410 and tr_A0A0J6YJP9_A0A0J6YJP9_COCIT_404692 are exactly identical! WARNING: Sequences tr_B6Q688_B6Q688_TALMQ_441960 and tr_A0A093Y154_A0A093Y154_TALMA_1077442 are exactly identical! WARNING: Sequences tr_B2W7S4_B2W7S4_PYRTR_426418 and tr_A0A2W1CZQ3_A0A2W1CZQ3_9PLEO_45151 are exactly identical! WARNING: Sequences tr_Q1K7A4_Q1K7A4_NEUCR_367110 and tr_G4UDD9_G4UDD9_NEUT9_510952 are exactly identical! WARNING: Sequences tr_A0A0R3NKE4_A0A0R3NKE4_DROPS_46245 and tr_B4GNT9_B4GNT9_DROPE_7234 are exactly identical! WARNING: Sequences tr_A0A179V0L7_A0A179V0L7_BLAGS_559298 and tr_C5GL55_C5GL55_AJEDR_559297 are exactly identical! WARNING: Sequences tr_H2QJ54_H2QJ54_PANTR_9598 and sp_Q6NVY1_HIBCH_HUMAN_9606 are exactly identical! WARNING: Sequences tr_F9FMN0_F9FMN0_FUSOF_660025 and tr_N4U7C3_N4U7C3_FUSC1_1229664 are exactly identical! WARNING: Sequences tr_F9FMN0_F9FMN0_FUSOF_660025 and tr_A0A2H3T511_A0A2H3T511_FUSOX_5507 are exactly identical! WARNING: Sequences tr_C6HKL7_C6HKL7_AJECH_544712 and tr_F0UH88_F0UH88_AJEC8_544711 are exactly identical! WARNING: Sequences tr_J4USB2_J4USB2_BEAB2_655819 and tr_A0A0A2VRH6_A0A0A2VRH6_BEABA_1245745 are exactly identical! WARNING: Sequences tr_Q2U621_Q2U621_ASPOR_510516 and tr_A0A1S9D8C8_A0A1S9D8C8_ASPOZ_5062 are exactly identical! WARNING: Sequences tr_A0A0E0J9Q6_A0A0E0J9Q6_ORYNI_4536 and tr_A0A0E0RFP4_A0A0E0RFP4_ORYRU_4529 are exactly identical! WARNING: Sequences tr_A2R422_A2R422_ASPNC_425011 and tr_A0A319A3K8_A0A319A3K8_9EURO_1450533 are exactly identical! WARNING: Sequences tr_G7XWX1_G7XWX1_ASPKW_1033177 and tr_A0A100IKW0_A0A100IKW0_ASPNG_5061 are exactly identical! WARNING: Sequences tr_G7XWX1_G7XWX1_ASPKW_1033177 and tr_A0A146EYP5_A0A146EYP5_9EURO_1069201 are exactly identical! WARNING: Sequences tr_G7XWX1_G7XWX1_ASPKW_1033177 and tr_A0A1L9NJ92_A0A1L9NJ92_ASPTU_767770 are exactly identical! WARNING: Sequences tr_G7XWX1_G7XWX1_ASPKW_1033177 and tr_A0A317UXZ1_A0A317UXZ1_9EURO_1448314 are exactly identical! WARNING: Sequences tr_G2YQW5_G2YQW5_BOTF4_999810 and tr_M7TWY0_M7TWY0_BOTF1_1290391 are exactly identical! WARNING: Sequences tr_F2T0Y3_F2T0Y3_TRIRC_559305 and tr_A0A178FA70_A0A178FA70_TRIRU_5551 are exactly identical! WARNING: Sequences tr_A0A0D2XD13_A0A0D2XD13_FUSO4_426428 and tr_X0DA01_X0DA01_FUSOX_1089458 are exactly identical! WARNING: Sequences tr_A0A0D2XD13_A0A0D2XD13_FUSO4_426428 and tr_A0A2H3H6U8_A0A2H3H6U8_FUSOX_327505 are exactly identical! WARNING: Sequences tr_G7PL17_G7PL17_MACFA_9541 and tr_A0A2K6DX65_A0A2K6DX65_MACNE_9545 are exactly identical! WARNING: Sequences tr_F2Q0E8_F2Q0E8_TRIEC_559882 and tr_A0A059JK59_A0A059JK59_9EURO_1215338 are exactly identical! WARNING: Sequences tr_M4ESM2_M4ESM2_BRARP_51351 and tr_A0A078IXV9_A0A078IXV9_BRANA_3708 are exactly identical! WARNING: Sequences tr_V2X4T1_V2X4T1_MONRO_1381753 and tr_A0A0W0FPT0_A0A0W0FPT0_9AGAR_221103 are exactly identical! WARNING: Sequences tr_W2PXY5_W2PXY5_PHYPN_761204 and tr_A0A0W8BYU4_A0A0W8BYU4_PHYNI_4790 are exactly identical! WARNING: Sequences tr_W2PXY5_W2PXY5_PHYPN_761204 and tr_W2GE15_W2GE15_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A015L329_A0A015L329_9GLOM_1432141 and tr_A0A2H5SYL1_A0A2H5SYL1_RHIID_747089 are exactly identical! WARNING: Sequences tr_A0A044V4H1_A0A044V4H1_ONCVO_6282 and tr_A0A182E288_A0A182E288_ONCOC_42157 are exactly identical! WARNING: Sequences tr_A0A0D3EU23_A0A0D3EU23_9ORYZ_65489 and tr_Q5JMX9_Q5JMX9_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_A0A094E2R5_A0A094E2R5_9PEZI_1420912 and tr_A0A1B8GWB7_A0A1B8GWB7_9PEZI_342668 are exactly identical! WARNING: Sequences tr_V4U3E1_V4U3E1_9ROSI_85681 and tr_A0A2H5NNX9_A0A2H5NNX9_CITUN_55188 are exactly identical! WARNING: Sequences tr_A0A0F0IN43_A0A0F0IN43_ASPPU_1403190 and tr_A0A2G7FLJ3_A0A2G7FLJ3_9EURO_656916 are exactly identical! WARNING: Sequences tr_A0A0F8UXS0_A0A0F8UXS0_9EURO_308745 and tr_A0A2T5MAM7_A0A2T5MAM7_9EURO_1392256 are exactly identical! WARNING: Sequences tr_A0A0A1NFY4_A0A0A1NFY4_9FUNG_58291 and tr_A0A367KH94_A0A367KH94_9FUNG_86630 are exactly identical! WARNING: Sequences tr_A0A151NB27_A0A151NB27_ALLMI_8496 and tr_A0A1U7SNK8_A0A1U7SNK8_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A0V0SGX4_A0A0V0SGX4_9BILA_6336 and tr_A0A0V1PNX5_A0A0V1PNX5_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A164QUU8_A0A164QUU8_9HOMO_1314777 and tr_A0A166E549_A0A166E549_9HOMO_1314776 are exactly identical! WARNING: Sequences tr_A0A1S4BWK8_A0A1S4BWK8_TOBAC_4097 and tr_A0A1U7XTU8_A0A1U7XTU8_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1S4BWL3_A0A1S4BWL3_TOBAC_4097 and tr_A0A1U7XXP1_A0A1U7XXP1_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1S4C3B5_A0A1S4C3B5_TOBAC_4097 and tr_A0A1U7VQI6_A0A1U7VQI6_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A2K5MI99_A0A2K5MI99_CERAT_9531 and tr_A0A2K5Y7I4_A0A2K5Y7I4_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2N5T006_A0A2N5T006_9BASI_200324 and tr_A0A2N5W8G9_A0A2N5W8G9_9BASI_200324 are exactly identical! WARNING: Duplicate sequences found: 44 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/Q6NVY1/3_mltree/Q6NVY1.raxml.reduced.phy Alignment comprises 1 partitions and 324 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 324 / 324 Gaps: 1.93 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/3_mltree/Q6NVY1.raxml.rba Parallelization scheme autoconfig: 5 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 / 324 / 25920 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -537856.442062] Initial branch length optimization [00:00:06 -463021.805401] Model parameter optimization (eps = 10.000000) [00:01:02 -461518.407409] AUTODETECT spr round 1 (radius: 5) [00:04:53 -328578.921680] AUTODETECT spr round 2 (radius: 10) [00:09:06 -239791.409006] AUTODETECT spr round 3 (radius: 15) [00:13:47 -202994.415832] AUTODETECT spr round 4 (radius: 20) [00:18:56 -193774.372516] AUTODETECT spr round 5 (radius: 25) [00:24:41 -192439.354084] SPR radius for FAST iterations: 25 (autodetect) [00:24:41 -192439.354084] Model parameter optimization (eps = 3.000000) [00:25:07 -192395.856569] FAST spr round 1 (radius: 25) [00:30:17 -170635.457378] FAST spr round 2 (radius: 25) [00:34:00 -169992.338660] FAST spr round 3 (radius: 25) [00:37:15 -169906.722795] FAST spr round 4 (radius: 25) [00:39:56 -169903.669443] FAST spr round 5 (radius: 25) [00:42:31 -169898.651181] FAST spr round 6 (radius: 25) [00:45:00 -169898.651072] Model parameter optimization (eps = 1.000000) [00:45:15 -169897.008248] SLOW spr round 1 (radius: 5) [00:49:15 -169830.023741] SLOW spr round 2 (radius: 5) [00:52:56 -169821.160042] SLOW spr round 3 (radius: 5) [00:56:30 -169818.647307] SLOW spr round 4 (radius: 5) [01:00:02 -169815.615897] SLOW spr round 5 (radius: 5) [01:03:28 -169815.223807] SLOW spr round 6 (radius: 5) [01:06:52 -169815.223786] SLOW spr round 7 (radius: 10) [01:10:25 -169815.223786] SLOW spr round 8 (radius: 15) [01:16:53 -169815.223786] SLOW spr round 9 (radius: 20) [01:25:42 -169815.223786] SLOW spr round 10 (radius: 25) [01:32:24] [worker #4] ML tree search #5, logLikelihood: -169780.600296 [01:37:12 -169815.223786] Model parameter optimization (eps = 0.100000) [01:37:22] [worker #0] ML tree search #1, logLikelihood: -169815.109903 [01:37:22 -539713.341302] Initial branch length optimization [01:37:29 -463684.546439] Model parameter optimization (eps = 10.000000) [01:38:28 -462138.659952] AUTODETECT spr round 1 (radius: 5) [01:42:17 -336041.130100] AUTODETECT spr round 2 (radius: 10) [01:42:49] [worker #2] ML tree search #3, logLikelihood: -169819.850107 [01:46:08] [worker #3] ML tree search #4, logLikelihood: -169776.819679 [01:46:34 -254887.133409] AUTODETECT spr round 3 (radius: 15) [01:50:25] [worker #1] ML tree search #2, logLikelihood: -169791.869284 [01:50:54 -228861.816125] AUTODETECT spr round 4 (radius: 20) [01:56:02 -220744.300407] AUTODETECT spr round 5 (radius: 25) [02:02:06 -204695.242889] SPR radius for FAST iterations: 25 (autodetect) [02:02:06 -204695.242889] Model parameter optimization (eps = 3.000000) [02:02:33 -204661.366389] FAST spr round 1 (radius: 25) [02:07:50 -171364.019080] FAST spr round 2 (radius: 25) [02:11:34 -169970.481145] FAST spr round 3 (radius: 25) [02:14:40 -169856.460932] FAST spr round 4 (radius: 25) [02:17:30 -169839.488858] FAST spr round 5 (radius: 25) [02:20:03 -169834.607721] FAST spr round 6 (radius: 25) [02:22:31 -169834.607716] Model parameter optimization (eps = 1.000000) [02:22:51 -169831.642394] SLOW spr round 1 (radius: 5) [02:26:44 -169788.992859] SLOW spr round 2 (radius: 5) [02:30:29 -169778.380120] SLOW spr round 3 (radius: 5) [02:33:59 -169778.379258] SLOW spr round 4 (radius: 10) [02:37:31 -169778.378838] SLOW spr round 5 (radius: 15) [02:43:41 -169778.378602] SLOW spr round 6 (radius: 20) [02:52:05 -169778.378468] SLOW spr round 7 (radius: 25) [03:01:39] [worker #4] ML tree search #10, logLikelihood: -169800.011324 [03:03:11 -169778.378392] Model parameter optimization (eps = 0.100000) [03:03:26] [worker #0] ML tree search #6, logLikelihood: -169778.310238 [03:03:26 -537387.237409] Initial branch length optimization [03:03:32 -460909.940325] Model parameter optimization (eps = 10.000000) [03:04:25 -459528.390358] AUTODETECT spr round 1 (radius: 5) [03:08:21 -331081.201953] AUTODETECT spr round 2 (radius: 10) [03:12:34 -252170.195147] AUTODETECT spr round 3 (radius: 15) [03:16:50 -218764.861873] AUTODETECT spr round 4 (radius: 20) [03:22:03 -201630.425902] AUTODETECT spr round 5 (radius: 25) [03:22:58] [worker #1] ML tree search #7, logLikelihood: -169774.395652 [03:27:40 -198580.522512] SPR radius for FAST iterations: 25 (autodetect) [03:27:40 -198580.522512] Model parameter optimization (eps = 3.000000) [03:28:03 -198547.182492] FAST spr round 1 (radius: 25) [03:33:33 -171180.727851] FAST spr round 2 (radius: 25) [03:37:51 -169921.425940] FAST spr round 3 (radius: 25) [03:41:28 -169864.749885] FAST spr round 4 (radius: 25) [03:43:17] [worker #2] ML tree search #8, logLikelihood: -169800.761661 [03:44:29 -169851.048904] FAST spr round 5 (radius: 25) [03:47:17 -169851.048871] Model parameter optimization (eps = 1.000000) [03:47:32 -169848.988509] SLOW spr round 1 (radius: 5) [03:52:06 -169793.880778] SLOW spr round 2 (radius: 5) [03:56:16 -169783.299047] SLOW spr round 3 (radius: 5) [04:00:22 -169776.863237] SLOW spr round 4 (radius: 5) [04:04:11 -169776.697880] SLOW spr round 5 (radius: 5) [04:07:57 -169776.697862] SLOW spr round 6 (radius: 10) [04:11:49 -169776.697862] SLOW spr round 7 (radius: 15) [04:17:44] [worker #3] ML tree search #9, logLikelihood: -169791.558861 [04:18:51 -169776.697862] SLOW spr round 8 (radius: 20) [04:28:55 -169776.697862] SLOW spr round 9 (radius: 25) [04:42:04 -169776.697862] Model parameter optimization (eps = 0.100000) [04:42:11] [worker #0] ML tree search #11, logLikelihood: -169776.608360 [04:42:11 -537449.774379] Initial branch length optimization [04:42:17 -462904.033000] Model parameter optimization (eps = 10.000000) [04:43:08 -461463.952213] AUTODETECT spr round 1 (radius: 5) [04:47:30 -325888.097970] AUTODETECT spr round 2 (radius: 10) [04:52:19 -242879.174552] AUTODETECT spr round 3 (radius: 15) [04:53:00] [worker #4] ML tree search #15, logLikelihood: -169770.184212 [04:57:43 -214198.487592] AUTODETECT spr round 4 (radius: 20) [05:03:47 -196531.596249] AUTODETECT spr round 5 (radius: 25) [05:10:12 -195959.113009] SPR radius for FAST iterations: 25 (autodetect) [05:10:12 -195959.113009] Model parameter optimization (eps = 3.000000) [05:10:41 -195934.240208] FAST spr round 1 (radius: 25) [05:16:48 -171152.278143] FAST spr round 2 (radius: 25) [05:21:04 -170035.975728] FAST spr round 3 (radius: 25) [05:23:15] [worker #1] ML tree search #12, logLikelihood: -169805.831244 [05:24:49 -169906.655610] FAST spr round 4 (radius: 25) [05:27:55 -169889.032636] FAST spr round 5 (radius: 25) [05:30:47 -169885.874470] FAST spr round 6 (radius: 25) [05:33:35 -169885.874424] Model parameter optimization (eps = 1.000000) [05:33:58 -169875.366709] SLOW spr round 1 (radius: 5) [05:38:32 -169803.365383] SLOW spr round 2 (radius: 5) [05:42:45 -169790.834570] SLOW spr round 3 (radius: 5) [05:46:42 -169789.449735] SLOW spr round 4 (radius: 5) [05:50:33 -169789.449373] SLOW spr round 5 (radius: 10) [05:54:39 -169789.449368] SLOW spr round 6 (radius: 15) [05:55:15] [worker #2] ML tree search #13, logLikelihood: -169767.746384 [06:02:06 -169789.449368] SLOW spr round 7 (radius: 20) [06:04:26] [worker #3] ML tree search #14, logLikelihood: -169802.709100 [06:12:47 -169789.449368] SLOW spr round 8 (radius: 25) [06:26:43 -169789.449368] Model parameter optimization (eps = 0.100000) [06:27:01] [worker #0] ML tree search #16, logLikelihood: -169788.028572 [06:54:05] [worker #4] ML tree search #20, logLikelihood: -169780.584186 [07:29:44] [worker #1] ML tree search #17, logLikelihood: -169788.585256 [07:49:13] [worker #3] ML tree search #19, logLikelihood: -169795.207144 [08:32:20] [worker #2] ML tree search #18, logLikelihood: -169766.766734 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.156313,0.292163) (0.287826,0.428224) (0.284671,0.959564) (0.271190,2.057293) 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: -169766.766734 AIC score: 343543.533468 / AICc score: 8387603.533468 / BIC score: 351123.924217 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=324). 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/Q6NVY1/3_mltree/Q6NVY1.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/3_mltree/Q6NVY1.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/3_mltree/Q6NVY1.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NVY1/3_mltree/Q6NVY1.raxml.log Analysis started: 02-Jul-2021 17:55:06 / finished: 03-Jul-2021 02:27:27 Elapsed time: 30741.035 seconds Consumed energy: 1596.740 Wh (= 8 km in an electric car, or 40 km with an e-scooter!)