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 03:53:15 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/2_msa/P20933_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/3_mltree/P20933 --seed 2 --threads 6 --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 (6 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/2_msa/P20933_trimmed_msa.fasta [00:00:00] Loaded alignment with 774 taxa and 370 sites WARNING: Sequences tr_B4QLT8_B4QLT8_DROSI_7240 and tr_B4HJ10_B4HJ10_DROSE_7238 are exactly identical! WARNING: Sequences tr_Q2M105_Q2M105_DROPS_46245 and tr_B4GQU4_B4GQU4_DROPE_7234 are exactly identical! WARNING: Sequences tr_N4UAV2_N4UAV2_FUSC1_1229664 and tr_X0CLS5_X0CLS5_FUSOX_1089458 are exactly identical! WARNING: Sequences tr_A0A084QK28_A0A084QK28_STAC4_1283841 and tr_A0A084RQ08_A0A084RQ08_STACH_1283842 are exactly identical! WARNING: Sequences tr_A0A078G9G7_A0A078G9G7_BRANA_3708 and tr_A0A0D3DDM7_A0A0D3DDM7_BRAOL_109376 are exactly identical! WARNING: Sequences tr_A0A078GYD1_A0A078GYD1_BRANA_3708 and tr_A0A0D3CJP7_A0A0D3CJP7_BRAOL_109376 are exactly identical! WARNING: Sequences tr_V4TQQ0_V4TQQ0_9ROSI_85681 and tr_A0A2H5QJT0_A0A2H5QJT0_CITUN_55188 are exactly identical! WARNING: Sequences tr_V4U6F4_V4U6F4_9ROSI_85681 and tr_A0A2H5P5Q6_A0A2H5P5Q6_CITUN_55188 are exactly identical! WARNING: Sequences tr_A0A0W8DBK8_A0A0W8DBK8_PHYNI_4790 and tr_W2G4Q1_W2G4Q1_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A2D0QMD6_A0A2D0QMD6_ICTPU_7998 and tr_A0A2D0QMP3_A0A2D0QMP3_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A1U8EDB4_A0A1U8EDB4_CAPAN_4072 and tr_A0A2G3CYY4_A0A2G3CYY4_CAPCH_80379 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/P20933/3_mltree/P20933.raxml.reduced.phy Alignment comprises 1 partitions and 370 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 370 / 370 Gaps: 19.53 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/3_mltree/P20933.raxml.rba Parallelization scheme autoconfig: 6 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 774 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 370 / 29600 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -455760.067101] Initial branch length optimization [00:00:07 -386645.968234] Model parameter optimization (eps = 10.000000) [00:01:33 -385787.744528] AUTODETECT spr round 1 (radius: 5) [00:04:37 -282466.157430] AUTODETECT spr round 2 (radius: 10) [00:08:13 -212533.292735] AUTODETECT spr round 3 (radius: 15) [00:12:18 -194580.236410] AUTODETECT spr round 4 (radius: 20) [00:17:14 -185366.232265] AUTODETECT spr round 5 (radius: 25) [00:22:57 -181199.117115] SPR radius for FAST iterations: 25 (autodetect) [00:22:57 -181199.117115] Model parameter optimization (eps = 3.000000) [00:23:24 -181040.844602] FAST spr round 1 (radius: 25) [00:27:58 -164073.487577] FAST spr round 2 (radius: 25) [00:31:02 -163320.904442] FAST spr round 3 (radius: 25) [00:33:43 -163248.140622] FAST spr round 4 (radius: 25) [00:36:02 -163231.644393] FAST spr round 5 (radius: 25) [00:38:08 -163231.637825] Model parameter optimization (eps = 1.000000) [00:38:31 -163222.765307] SLOW spr round 1 (radius: 5) [00:42:03 -163182.688216] SLOW spr round 2 (radius: 5) [00:45:18 -163174.596437] SLOW spr round 3 (radius: 5) [00:48:17 -163174.590008] SLOW spr round 4 (radius: 10) [00:51:27 -163167.735382] SLOW spr round 5 (radius: 5) [00:55:20 -163166.493959] SLOW spr round 6 (radius: 5) [00:58:41 -163166.493851] SLOW spr round 7 (radius: 10) [01:01:58 -163166.173073] SLOW spr round 8 (radius: 5) [01:05:47 -163163.691708] SLOW spr round 9 (radius: 5) [01:09:08 -163163.691700] SLOW spr round 10 (radius: 10) [01:12:23 -163163.691700] SLOW spr round 11 (radius: 15) [01:17:26 -163163.691700] SLOW spr round 12 (radius: 20) [01:21:37] [worker #3] ML tree search #4, logLikelihood: -163165.397026 [01:25:10 -163163.691699] SLOW spr round 13 (radius: 25) [01:27:45] [worker #2] ML tree search #3, logLikelihood: -163175.101868 [01:35:06 -163163.691699] Model parameter optimization (eps = 0.100000) [01:35:14] [worker #0] ML tree search #1, logLikelihood: -163163.670217 [01:35:14 -454533.417567] Initial branch length optimization [01:35:20 -385847.296179] Model parameter optimization (eps = 10.000000) [01:36:15 -384792.015794] AUTODETECT spr round 1 (radius: 5) [01:38:31] [worker #1] ML tree search #2, logLikelihood: -163195.612286 [01:39:15 -287902.383143] AUTODETECT spr round 2 (radius: 10) [01:42:54 -223444.227311] AUTODETECT spr round 3 (radius: 15) [01:45:28] [worker #5] ML tree search #6, logLikelihood: -163166.699771 [01:46:35 -194452.946506] AUTODETECT spr round 4 (radius: 20) [01:50:37 -184128.077058] AUTODETECT spr round 5 (radius: 25) [01:52:18] [worker #4] ML tree search #5, logLikelihood: -163142.285347 [01:55:25 -182261.025785] SPR radius for FAST iterations: 25 (autodetect) [01:55:25 -182261.025785] Model parameter optimization (eps = 3.000000) [01:55:57 -182127.639747] FAST spr round 1 (radius: 25) [02:00:33 -163993.237321] FAST spr round 2 (radius: 25) [02:03:32 -163321.644577] FAST spr round 3 (radius: 25) [02:06:06 -163241.977291] FAST spr round 4 (radius: 25) [02:08:20 -163232.625384] FAST spr round 5 (radius: 25) [02:10:25 -163231.811042] FAST spr round 6 (radius: 25) [02:12:26 -163231.811040] Model parameter optimization (eps = 1.000000) [02:12:50 -163226.244872] SLOW spr round 1 (radius: 5) [02:16:12 -163175.721072] SLOW spr round 2 (radius: 5) [02:19:22 -163166.369834] SLOW spr round 3 (radius: 5) [02:22:19 -163166.369663] SLOW spr round 4 (radius: 10) [02:25:27 -163165.751927] SLOW spr round 5 (radius: 5) [02:29:19 -163165.750950] SLOW spr round 6 (radius: 10) [02:32:59 -163165.661347] SLOW spr round 7 (radius: 15) [02:38:13 -163165.661321] SLOW spr round 8 (radius: 20) [02:43:44] [worker #3] ML tree search #10, logLikelihood: -163170.254891 [02:46:47 -163165.661320] SLOW spr round 9 (radius: 25) [02:57:51 -163165.661320] Model parameter optimization (eps = 0.100000) [02:57:58] [worker #0] ML tree search #7, logLikelihood: -163165.583898 [02:57:58 -455011.549515] Initial branch length optimization [02:58:07 -387049.754202] Model parameter optimization (eps = 10.000000) [02:59:10 -386051.557863] AUTODETECT spr round 1 (radius: 5) [03:01:37] [worker #2] ML tree search #9, logLikelihood: -163166.270903 [03:02:12 -283429.043020] AUTODETECT spr round 2 (radius: 10) [03:05:46 -220891.410197] AUTODETECT spr round 3 (radius: 15) [03:06:01] [worker #4] ML tree search #11, logLikelihood: -163181.656582 [03:09:50 -187891.943783] AUTODETECT spr round 4 (radius: 20) [03:14:48 -180452.387063] AUTODETECT spr round 5 (radius: 25) [03:20:16] [worker #5] ML tree search #12, logLikelihood: -163175.572178 [03:20:33 -179945.281923] SPR radius for FAST iterations: 25 (autodetect) [03:20:33 -179945.281923] Model parameter optimization (eps = 3.000000) [03:21:04 -179762.887323] FAST spr round 1 (radius: 25) [03:25:40 -163899.783311] FAST spr round 2 (radius: 25) [03:28:47 -163308.107172] FAST spr round 3 (radius: 25) [03:31:33 -163251.742410] FAST spr round 4 (radius: 25) [03:33:49 -163232.513230] FAST spr round 5 (radius: 25) [03:35:56 -163225.934146] FAST spr round 6 (radius: 25) [03:37:14] [worker #1] ML tree search #8, logLikelihood: -163156.826052 [03:37:58 -163225.934114] Model parameter optimization (eps = 1.000000) [03:38:22 -163217.836335] SLOW spr round 1 (radius: 5) [03:41:46 -163171.666320] SLOW spr round 2 (radius: 5) [03:44:53 -163169.905138] SLOW spr round 3 (radius: 5) [03:47:51 -163169.680368] SLOW spr round 4 (radius: 5) [03:50:47 -163169.680257] SLOW spr round 5 (radius: 10) [03:53:54 -163167.962874] SLOW spr round 6 (radius: 5) [03:57:46 -163167.962836] SLOW spr round 7 (radius: 10) [04:01:27 -163167.962836] SLOW spr round 8 (radius: 15) [04:06:28 -163167.962836] SLOW spr round 9 (radius: 20) [04:12:32] [worker #3] ML tree search #16, logLikelihood: -163163.094221 [04:14:36 -163167.962836] SLOW spr round 10 (radius: 25) [04:25:01 -163167.962836] Model parameter optimization (eps = 0.100000) [04:25:13] [worker #0] ML tree search #13, logLikelihood: -163167.427246 [04:25:13 -459173.799928] Initial branch length optimization [04:25:20 -387770.671444] Model parameter optimization (eps = 10.000000) [04:26:23 -386727.687146] AUTODETECT spr round 1 (radius: 5) [04:29:23 -285570.714382] AUTODETECT spr round 2 (radius: 10) [04:32:57 -219706.458614] AUTODETECT spr round 3 (radius: 15) [04:36:43 -192954.765208] AUTODETECT spr round 4 (radius: 20) [04:41:33 -181960.253260] AUTODETECT spr round 5 (radius: 25) [04:44:35] [worker #2] ML tree search #15, logLikelihood: -163166.400804 [04:46:50 -180517.797773] SPR radius for FAST iterations: 25 (autodetect) [04:46:50 -180517.797773] Model parameter optimization (eps = 3.000000) [04:47:18 -180332.712897] FAST spr round 1 (radius: 25) [04:50:03] [worker #4] ML tree search #17, logLikelihood: -163166.386913 [04:51:50 -163796.621768] FAST spr round 2 (radius: 25) [04:55:02 -163263.546893] FAST spr round 3 (radius: 25) [04:57:42 -163241.930787] FAST spr round 4 (radius: 25) [05:00:03 -163226.024776] FAST spr round 5 (radius: 25) [05:02:08 -163226.024704] Model parameter optimization (eps = 1.000000) [05:02:11] [worker #1] ML tree search #14, logLikelihood: -163157.767070 [05:02:30 -163220.846151] SLOW spr round 1 (radius: 5) [05:05:54 -163186.124288] SLOW spr round 2 (radius: 5) [05:09:02 -163180.053731] SLOW spr round 3 (radius: 5) [05:12:02 -163179.448617] SLOW spr round 4 (radius: 5) [05:12:14] [worker #5] ML tree search #18, logLikelihood: -163169.828793 [05:14:58 -163179.448559] SLOW spr round 5 (radius: 10) [05:18:05 -163169.597594] SLOW spr round 6 (radius: 5) [05:21:59 -163164.790583] SLOW spr round 7 (radius: 5) [05:25:19 -163164.790207] SLOW spr round 8 (radius: 10) [05:28:33 -163163.906741] SLOW spr round 9 (radius: 5) [05:32:22 -163162.553977] SLOW spr round 10 (radius: 5) [05:35:41 -163160.609897] SLOW spr round 11 (radius: 5) [05:38:46 -163160.186536] SLOW spr round 12 (radius: 5) [05:41:43 -163160.186526] SLOW spr round 13 (radius: 10) [05:44:48 -163160.186518] SLOW spr round 14 (radius: 15) [05:50:06 -163160.186509] SLOW spr round 15 (radius: 20) [05:57:37 -163160.186500] SLOW spr round 16 (radius: 25) [06:08:05 -163160.186491] Model parameter optimization (eps = 0.100000) [06:08:20] [worker #0] ML tree search #19, logLikelihood: -163159.963048 [06:32:29] [worker #1] ML tree search #20, logLikelihood: -163168.171107 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.212673,0.354355) (0.214547,0.350553) (0.297190,0.873799) (0.275589,2.139936) 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: -163142.285347 AIC score: 329386.570695 / AICc score: 5143690.570695 / BIC score: 335456.413857 Free parameters (model + branch lengths): 1551 WARNING: Number of free parameters (K=1551) is larger than alignment size (n=370). 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/P20933/3_mltree/P20933.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/3_mltree/P20933.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/3_mltree/P20933.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/P20933/3_mltree/P20933.raxml.log Analysis started: 04-Jun-2021 03:53:15 / finished: 04-Jun-2021 10:25:44 Elapsed time: 23549.198 seconds Consumed energy: 2106.959 Wh (= 11 km in an electric car, or 53 km with an e-scooter!)