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 6258R CPU @ 2.70GHz, 56 cores, 187 GB RAM RAxML-NG was called at 04-Jun-2021 21:31:39 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/2_msa/P00846_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846 --seed 2 --threads 4 --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 (4 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/2_msa/P00846_trimmed_msa.fasta [00:00:00] Loaded alignment with 269 taxa and 206 sites WARNING: Sequences tr_Q6U7V4_Q6U7V4_MONPE_554373 and tr_F2WVJ5_F2WVJ5_MONRO_1381753 are exactly identical! WARNING: Sequences sp_P37212_ATP6_NEUCR_367110 and tr_F7WD54_F7WD54_SORMK_771870 are exactly identical! WARNING: Sequences tr_H9CNZ4_H9CNZ4_ASPFN_332952 and tr_H9CNV3_H9CNV3_ASPOR_510516 are exactly identical! WARNING: Sequences tr_H9CJQ4_H9CJQ4_ASPFU_330879 and tr_H9CNP3_H9CNP3_NEOFI_331117 are exactly identical! WARNING: Sequences tr_A0A178U7J2_A0A178U7J2_ARATH_3702 and tr_A0A2P2CLH6_A0A2P2CLH6_ARATH_3702 are exactly identical! WARNING: Sequences tr_A0A178U7J2_A0A178U7J2_ARATH_3702 and sp_P92547_ATP62_ARATH_3702 are exactly identical! WARNING: Sequences tr_A0A178U7J2_A0A178U7J2_ARATH_3702 and sp_P93298_ATP61_ARATH_3702 are exactly identical! WARNING: Sequences tr_A0A3B6UD70_A0A3B6UD70_MAIZE_4577 and tr_Q6R982_Q6R982_MAIZE_4577 are exactly identical! WARNING: Sequences tr_H2L2Q1_H2L2Q1_LOXAF_9785 and sp_Q9TA24_ATP6_LOXAF_9785 are exactly identical! WARNING: Sequences tr_A0A1C9ZNY7_A0A1C9ZNY7_HORVV_112509 and tr_A0A287VLT6_A0A287VLT6_HORVV_112509 are exactly identical! WARNING: Sequences tr_A0A0M4JB70_A0A0M4JB70_TOBAC_4097 and tr_Q45KQ4_Q45KQ4_CAPAN_4072 are exactly identical! WARNING: Duplicate sequences found: 11 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.reduced.phy Alignment comprises 1 partitions and 206 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 206 / 206 Gaps: 10.15 % Invariant sites: 1.46 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.rba Parallelization scheme autoconfig: 4 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 269 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 206 / 16480 [00:00:00] Data distribution: max. searches per worker: 5 Starting ML tree search with 20 distinct starting trees [00:00:00 -96269.249518] Initial branch length optimization [00:00:01 -79976.460888] Model parameter optimization (eps = 10.000000) [00:00:16 -79293.435531] AUTODETECT spr round 1 (radius: 5) [00:00:33 -50328.186161] AUTODETECT spr round 2 (radius: 10) [00:00:55 -39091.399944] AUTODETECT spr round 3 (radius: 15) [00:01:19 -35852.046412] AUTODETECT spr round 4 (radius: 20) [00:01:51 -34581.924352] AUTODETECT spr round 5 (radius: 25) [00:02:27 -34462.332692] SPR radius for FAST iterations: 25 (autodetect) [00:02:27 -34462.332692] Model parameter optimization (eps = 3.000000) [00:02:37 -34412.232286] FAST spr round 1 (radius: 25) [00:03:01 -32365.462549] FAST spr round 2 (radius: 25) [00:03:21 -32193.298002] FAST spr round 3 (radius: 25) [00:03:37 -32177.815627] FAST spr round 4 (radius: 25) [00:03:51 -32176.276648] FAST spr round 5 (radius: 25) [00:04:04 -32176.275657] Model parameter optimization (eps = 1.000000) [00:04:10 -32173.180219] SLOW spr round 1 (radius: 5) [00:04:38 -32168.454767] SLOW spr round 2 (radius: 5) [00:05:02 -32168.319924] SLOW spr round 3 (radius: 5) [00:05:26 -32168.319894] SLOW spr round 4 (radius: 10) [00:05:52 -32163.651803] SLOW spr round 5 (radius: 5) [00:06:29 -32163.651145] SLOW spr round 6 (radius: 10) [00:06:59 -32163.651108] SLOW spr round 7 (radius: 15) [00:07:39 -32163.651105] SLOW spr round 8 (radius: 20) [00:08:31 -32163.651104] SLOW spr round 9 (radius: 25) [00:08:44] [worker #3] ML tree search #4, logLikelihood: -32115.839513 [00:09:25 -32163.651104] Model parameter optimization (eps = 0.100000) [00:09:29] [worker #0] ML tree search #1, logLikelihood: -32163.611422 [00:09:29 -95996.480396] Initial branch length optimization [00:09:30 -79131.024704] Model parameter optimization (eps = 10.000000) [00:09:46 -78446.844066] AUTODETECT spr round 1 (radius: 5) [00:10:03 -52005.177728] AUTODETECT spr round 2 (radius: 10) [00:10:26 -41180.807973] AUTODETECT spr round 3 (radius: 15) [00:10:43] [worker #1] ML tree search #2, logLikelihood: -32144.330163 [00:10:52 -38209.309777] AUTODETECT spr round 4 (radius: 20) [00:11:20 -35439.564699] AUTODETECT spr round 5 (radius: 25) [00:11:32] [worker #2] ML tree search #3, logLikelihood: -32146.234635 [00:11:53 -35135.314989] SPR radius for FAST iterations: 25 (autodetect) [00:11:53 -35135.314989] Model parameter optimization (eps = 3.000000) [00:12:06 -35083.587431] FAST spr round 1 (radius: 25) [00:12:29 -32450.759921] FAST spr round 2 (radius: 25) [00:12:49 -32198.192578] FAST spr round 3 (radius: 25) [00:13:07 -32183.152045] FAST spr round 4 (radius: 25) [00:13:22 -32178.603112] FAST spr round 5 (radius: 25) [00:13:35 -32178.602746] Model parameter optimization (eps = 1.000000) [00:13:43 -32160.773084] SLOW spr round 1 (radius: 5) [00:14:11 -32151.725742] SLOW spr round 2 (radius: 5) [00:14:37 -32150.211218] SLOW spr round 3 (radius: 5) [00:15:01 -32150.210454] SLOW spr round 4 (radius: 10) [00:15:25 -32147.464511] SLOW spr round 5 (radius: 5) [00:16:01 -32143.590855] SLOW spr round 6 (radius: 5) [00:16:29 -32143.590843] SLOW spr round 7 (radius: 10) [00:16:37] [worker #3] ML tree search #8, logLikelihood: -32158.973556 [00:16:54 -32143.590843] SLOW spr round 8 (radius: 15) [00:17:31 -32143.590843] SLOW spr round 9 (radius: 20) [00:18:22 -32143.590843] SLOW spr round 10 (radius: 25) [00:19:09] [worker #1] ML tree search #6, logLikelihood: -32175.482605 [00:19:17 -32143.590843] Model parameter optimization (eps = 0.100000) [00:19:22] [worker #0] ML tree search #5, logLikelihood: -32143.461549 [00:19:22 -96461.170153] Initial branch length optimization [00:19:23 -79673.315769] Model parameter optimization (eps = 10.000000) [00:19:45 -78993.110782] AUTODETECT spr round 1 (radius: 5) [00:20:01 -50962.206062] AUTODETECT spr round 2 (radius: 10) [00:20:23 -39310.849187] AUTODETECT spr round 3 (radius: 15) [00:20:48 -34832.192815] AUTODETECT spr round 4 (radius: 20) [00:21:20 -34451.460825] AUTODETECT spr round 5 (radius: 25) [00:21:56 -34451.448309] SPR radius for FAST iterations: 20 (autodetect) [00:21:56 -34451.448309] Model parameter optimization (eps = 3.000000) [00:22:05 -34391.642584] FAST spr round 1 (radius: 20) [00:22:28 -32282.001363] FAST spr round 2 (radius: 20) [00:22:47 -32184.905899] FAST spr round 3 (radius: 20) [00:23:01 -32170.659625] FAST spr round 4 (radius: 20) [00:23:15 -32164.359194] FAST spr round 5 (radius: 20) [00:23:27 -32164.359061] Model parameter optimization (eps = 1.000000) [00:23:33 -32161.251462] SLOW spr round 1 (radius: 5) [00:23:50] [worker #2] ML tree search #7, logLikelihood: -32157.714677 [00:24:00 -32155.274039] SLOW spr round 2 (radius: 5) [00:24:25 -32153.438385] SLOW spr round 3 (radius: 5) [00:24:48 -32153.437881] SLOW spr round 4 (radius: 10) [00:25:12 -32153.437746] SLOW spr round 5 (radius: 15) [00:25:54 -32153.437708] SLOW spr round 6 (radius: 20) [00:26:46 -32153.437698] SLOW spr round 7 (radius: 25) [00:27:39 -32153.437695] Model parameter optimization (eps = 0.100000) [00:27:43] [worker #0] ML tree search #9, logLikelihood: -32153.158547 [00:27:43 -95930.534748] Initial branch length optimization [00:27:44 -78093.937463] Model parameter optimization (eps = 10.000000) [00:27:59] [worker #1] ML tree search #10, logLikelihood: -32146.133301 [00:28:02 -77422.861500] AUTODETECT spr round 1 (radius: 5) [00:28:19 -54102.321682] AUTODETECT spr round 2 (radius: 10) [00:28:41 -39349.237480] AUTODETECT spr round 3 (radius: 15) [00:29:06 -35340.624782] AUTODETECT spr round 4 (radius: 20) [00:29:22] [worker #3] ML tree search #12, logLikelihood: -32148.289205 [00:29:37 -34952.700054] AUTODETECT spr round 5 (radius: 25) [00:30:11 -34914.537336] SPR radius for FAST iterations: 25 (autodetect) [00:30:11 -34914.537336] Model parameter optimization (eps = 3.000000) [00:30:20 -34845.392229] FAST spr round 1 (radius: 25) [00:30:43 -32374.654756] FAST spr round 2 (radius: 25) [00:31:04 -32196.477542] FAST spr round 3 (radius: 25) [00:31:21 -32171.849543] FAST spr round 4 (radius: 25) [00:31:34 -32166.976051] FAST spr round 5 (radius: 25) [00:31:47 -32166.534300] FAST spr round 6 (radius: 25) [00:32:00 -32166.019682] FAST spr round 7 (radius: 25) [00:32:13 -32166.019607] Model parameter optimization (eps = 1.000000) [00:32:19 -32162.482069] SLOW spr round 1 (radius: 5) [00:32:47 -32156.519783] SLOW spr round 2 (radius: 5) [00:33:14 -32154.955948] SLOW spr round 3 (radius: 5) [00:33:16] [worker #2] ML tree search #11, logLikelihood: -32130.080568 [00:33:38 -32153.905564] SLOW spr round 4 (radius: 5) [00:34:02 -32153.473590] SLOW spr round 5 (radius: 5) [00:34:26 -32151.636894] SLOW spr round 6 (radius: 5) [00:34:49 -32149.435975] SLOW spr round 7 (radius: 5) [00:35:12 -32149.435640] SLOW spr round 8 (radius: 10) [00:35:37 -32149.435632] SLOW spr round 9 (radius: 15) [00:36:19 -32149.435632] SLOW spr round 10 (radius: 20) [00:36:42] [worker #1] ML tree search #14, logLikelihood: -32150.889657 [00:36:56] [worker #3] ML tree search #16, logLikelihood: -32144.855313 [00:37:10 -32149.435632] SLOW spr round 11 (radius: 25) [00:38:05 -32149.435632] Model parameter optimization (eps = 0.100000) [00:38:10] [worker #0] ML tree search #13, logLikelihood: -32149.162957 [00:38:10 -96146.178591] Initial branch length optimization [00:38:10 -79775.330995] Model parameter optimization (eps = 10.000000) [00:38:30 -78709.027795] AUTODETECT spr round 1 (radius: 5) [00:38:46 -49452.048712] AUTODETECT spr round 2 (radius: 10) [00:39:07 -38265.771916] AUTODETECT spr round 3 (radius: 15) [00:39:36 -35722.404824] AUTODETECT spr round 4 (radius: 20) [00:40:12 -34823.106544] AUTODETECT spr round 5 (radius: 25) [00:40:40 -34813.284493] SPR radius for FAST iterations: 25 (autodetect) [00:40:40 -34813.284493] Model parameter optimization (eps = 3.000000) [00:40:51 -34718.437976] FAST spr round 1 (radius: 25) [00:41:11 -32237.367364] FAST spr round 2 (radius: 25) [00:41:28 -32163.592916] FAST spr round 3 (radius: 25) [00:41:43 -32143.639345] FAST spr round 4 (radius: 25) [00:41:57 -32141.048099] FAST spr round 5 (radius: 25) [00:42:09 -32141.047690] Model parameter optimization (eps = 1.000000) [00:42:17 -32133.649837] SLOW spr round 1 (radius: 5) [00:42:35] [worker #2] ML tree search #15, logLikelihood: -32126.373882 [00:42:45 -32122.047058] SLOW spr round 2 (radius: 5) [00:43:12 -32116.822503] SLOW spr round 3 (radius: 5) [00:43:37 -32114.468815] SLOW spr round 4 (radius: 5) [00:44:00 -32114.468659] SLOW spr round 5 (radius: 10) [00:44:24 -32113.378908] SLOW spr round 6 (radius: 5) [00:45:02 -32111.312583] SLOW spr round 7 (radius: 5) [00:45:09] [worker #3] ML tree search #20, logLikelihood: -32146.951622 [00:45:30 -32111.310513] SLOW spr round 8 (radius: 10) [00:45:56 -32111.310220] SLOW spr round 9 (radius: 15) [00:46:15] [worker #1] ML tree search #18, logLikelihood: -32148.278945 [00:46:37 -32111.310172] SLOW spr round 10 (radius: 20) [00:47:30 -32111.310165] SLOW spr round 11 (radius: 25) [00:48:21 -32111.310163] Model parameter optimization (eps = 0.100000) [00:48:27] [worker #0] ML tree search #17, logLikelihood: -32107.646168 [00:51:14] [worker #2] ML tree search #19, logLikelihood: -32159.449481 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.289261,0.829571) (0.292934,1.025123) (0.291600,1.514738) (0.126206,0.143001) 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: -32107.646168 AIC score: 65297.292335 / AICc score: 651741.292335 / BIC score: 67097.673342 Free parameters (model + branch lengths): 541 WARNING: Number of free parameters (K=541) is larger than alignment size (n=206). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P00846/3_mltree/P00846.raxml.log Analysis started: 04-Jun-2021 21:31:39 / finished: 04-Jun-2021 22:22:53 Elapsed time: 3074.069 seconds Consumed energy: 305.426 Wh (= 2 km in an electric car, or 8 km with an e-scooter!)