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 26-Jul-2021 00:10:22 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/2_msa/A6NGB9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9 --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/250721_run/phylogeny-snakemake/results/A6NGB9/2_msa/A6NGB9_trimmed_msa.fasta [00:00:00] Loaded alignment with 203 taxa and 182 sites WARNING: Sequences tr_M3YTX7_M3YTX7_MUSPF_9669 and tr_A0A2Y9JWG3_A0A2Y9JWG3_ENHLU_391180 are exactly identical! WARNING: Sequences tr_G3QNR6_G3QNR6_GORGO_9595 and tr_K7D608_K7D608_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QNR6_G3QNR6_GORGO_9595 and tr_A0A2R9C959_A0A2R9C959_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3QSH0_G3QSH0_GORGO_9595 and tr_A0A2J8KLF8_A0A2J8KLF8_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QSH0_G3QSH0_GORGO_9595 and tr_A0A2R8ZF97_A0A2R8ZF97_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5RB54_A0A1D5RB54_MACMU_9544 and tr_A0A096NDN0_A0A096NDN0_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5RB54_A0A1D5RB54_MACMU_9544 and tr_A0A2K6AHL8_A0A2K6AHL8_MANLE_9568 are exactly identical! WARNING: Sequences tr_G7NI88_G7NI88_MACMU_9544 and tr_G7PUN7_G7PUN7_MACFA_9541 are exactly identical! WARNING: Sequences tr_G7NI88_G7NI88_MACMU_9544 and tr_A0A096P5G3_A0A096P5G3_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G7NI88_G7NI88_MACMU_9544 and tr_A0A2K5Z3Q5_A0A2K5Z3Q5_MANLE_9568 are exactly identical! WARNING: Sequences tr_G1LMM8_G1LMM8_AILME_9646 and tr_A0A384BZS4_A0A384BZS4_URSMA_29073 are exactly identical! WARNING: Sequences tr_A0A2D0PV31_A0A2D0PV31_ICTPU_7998 and tr_A0A2D0PWS1_A0A2D0PWS1_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2D0PV31_A0A2D0PV31_ICTPU_7998 and tr_A0A2D0PXM5_A0A2D0PXM5_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2U4BNX9_A0A2U4BNX9_TURTR_9739 and tr_A0A2Y9M7Y0_A0A2Y9M7Y0_DELLE_9749 are exactly identical! WARNING: Duplicate sequences found: 14 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.raxml.reduced.phy Alignment comprises 1 partitions and 182 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 182 / 182 Gaps: 8.21 % Invariant sites: 1.10 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.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 203 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 182 / 14560 [00:00:00] Data distribution: max. searches per worker: 5 Starting ML tree search with 20 distinct starting trees [00:00:00 -45140.762606] Initial branch length optimization [00:00:00 -36666.546619] Model parameter optimization (eps = 10.000000) [00:00:15 -36620.103396] AUTODETECT spr round 1 (radius: 5) [00:00:31 -24940.240105] AUTODETECT spr round 2 (radius: 10) [00:00:54 -20291.695418] AUTODETECT spr round 3 (radius: 15) [00:01:23 -18756.604099] AUTODETECT spr round 4 (radius: 20) [00:01:56 -18518.361650] AUTODETECT spr round 5 (radius: 25) [00:02:26 -18481.382813] SPR radius for FAST iterations: 25 (autodetect) [00:02:26 -18481.382813] Model parameter optimization (eps = 3.000000) [00:02:39 -18414.342232] FAST spr round 1 (radius: 25) [00:03:02 -16542.542724] FAST spr round 2 (radius: 25) [00:03:22 -16469.534506] FAST spr round 3 (radius: 25) [00:03:36 -16467.795978] FAST spr round 4 (radius: 25) [00:03:49 -16467.795150] Model parameter optimization (eps = 1.000000) [00:03:57 -16464.303422] SLOW spr round 1 (radius: 5) [00:04:25 -16462.529502] SLOW spr round 2 (radius: 5) [00:04:51 -16462.528424] SLOW spr round 3 (radius: 10) [00:05:17 -16462.111170] SLOW spr round 4 (radius: 5) [00:05:54 -16462.111083] SLOW spr round 5 (radius: 10) [00:06:26 -16462.111081] SLOW spr round 6 (radius: 15) [00:07:11 -16458.188797] SLOW spr round 7 (radius: 5) [00:07:55 -16457.007339] SLOW spr round 8 (radius: 5) [00:08:29 -16457.007083] SLOW spr round 9 (radius: 10) [00:08:57 -16457.007075] SLOW spr round 10 (radius: 15) [00:09:41 -16457.007074] SLOW spr round 11 (radius: 20) [00:10:32 -16457.007074] SLOW spr round 12 (radius: 25) [00:11:19 -16457.007074] Model parameter optimization (eps = 0.100000) [00:11:24] [worker #0] ML tree search #1, logLikelihood: -16456.768162 [00:11:24 -45306.084957] Initial branch length optimization [00:11:24 -36877.779996] Model parameter optimization (eps = 10.000000) [00:11:39 -36826.566181] AUTODETECT spr round 1 (radius: 5) [00:11:55 -25158.890391] AUTODETECT spr round 2 (radius: 10) [00:12:19 -19044.105972] AUTODETECT spr round 3 (radius: 15) [00:12:28] [worker #2] ML tree search #3, logLikelihood: -16443.153545 [00:12:45 -17874.071323] AUTODETECT spr round 4 (radius: 20) [00:12:56] [worker #1] ML tree search #2, logLikelihood: -16442.237776 [00:13:11 -17807.469731] AUTODETECT spr round 5 (radius: 25) [00:13:42 -17799.234489] SPR radius for FAST iterations: 25 (autodetect) [00:13:42 -17799.234489] Model parameter optimization (eps = 3.000000) [00:13:43] [worker #3] ML tree search #4, logLikelihood: -16450.394806 [00:13:53 -17715.586251] FAST spr round 1 (radius: 25) [00:14:18 -16518.336585] FAST spr round 2 (radius: 25) [00:14:38 -16469.307977] FAST spr round 3 (radius: 25) [00:14:54 -16464.017510] FAST spr round 4 (radius: 25) [00:15:08 -16464.017510] Model parameter optimization (eps = 1.000000) [00:15:15 -16461.988136] SLOW spr round 1 (radius: 5) [00:15:44 -16460.456742] SLOW spr round 2 (radius: 5) [00:16:11 -16458.410332] SLOW spr round 3 (radius: 5) [00:16:36 -16458.410330] SLOW spr round 4 (radius: 10) [00:17:02 -16452.489587] SLOW spr round 5 (radius: 5) [00:17:42 -16452.489585] SLOW spr round 6 (radius: 10) [00:18:13 -16452.489585] SLOW spr round 7 (radius: 15) [00:18:55 -16452.489585] SLOW spr round 8 (radius: 20) [00:19:43 -16452.489585] SLOW spr round 9 (radius: 25) [00:20:25 -16452.489585] Model parameter optimization (eps = 0.100000) [00:20:27] [worker #0] ML tree search #5, logLikelihood: -16452.470859 [00:20:28 -45732.768275] Initial branch length optimization [00:20:28 -36806.883740] Model parameter optimization (eps = 10.000000) [00:20:41 -36762.778437] AUTODETECT spr round 1 (radius: 5) [00:20:57 -24202.303451] AUTODETECT spr round 2 (radius: 10) [00:21:10] [worker #2] ML tree search #7, logLikelihood: -16443.960505 [00:21:21 -19218.327499] AUTODETECT spr round 3 (radius: 15) [00:21:51 -17895.500324] AUTODETECT spr round 4 (radius: 20) [00:22:21 -17712.763316] AUTODETECT spr round 5 (radius: 25) [00:22:47 -17687.441949] SPR radius for FAST iterations: 25 (autodetect) [00:22:47 -17687.441949] Model parameter optimization (eps = 3.000000) [00:23:02 -17601.610810] FAST spr round 1 (radius: 25) [00:23:24 -16508.593082] FAST spr round 2 (radius: 25) [00:23:44 -16465.880655] FAST spr round 3 (radius: 25) [00:24:02 -16453.641039] FAST spr round 4 (radius: 25) [00:24:15 -16453.639631] Model parameter optimization (eps = 1.000000) [00:24:23 -16450.435974] SLOW spr round 1 (radius: 5) [00:24:29] [worker #1] ML tree search #6, logLikelihood: -16445.961696 [00:24:50 -16449.220423] SLOW spr round 2 (radius: 5) [00:25:15 -16449.220211] SLOW spr round 3 (radius: 10) [00:25:40 -16449.220206] SLOW spr round 4 (radius: 15) [00:26:25 -16448.508976] SLOW spr round 5 (radius: 5) [00:27:07 -16448.508289] SLOW spr round 6 (radius: 10) [00:27:43 -16448.508254] SLOW spr round 7 (radius: 15) [00:27:43] [worker #3] ML tree search #8, logLikelihood: -16455.487098 [00:28:24 -16448.508253] SLOW spr round 8 (radius: 20) [00:29:13 -16448.508253] SLOW spr round 9 (radius: 25) [00:29:54 -16448.508253] Model parameter optimization (eps = 0.100000) [00:29:58] [worker #0] ML tree search #9, logLikelihood: -16448.378275 [00:29:58 -45569.503678] Initial branch length optimization [00:29:59 -36893.590442] Model parameter optimization (eps = 10.000000) [00:30:12 -36837.631456] AUTODETECT spr round 1 (radius: 5) [00:30:28 -24613.198547] AUTODETECT spr round 2 (radius: 10) [00:30:29] [worker #2] ML tree search #11, logLikelihood: -16444.755503 [00:30:51 -19371.476249] AUTODETECT spr round 3 (radius: 15) [00:31:20 -17995.427832] AUTODETECT spr round 4 (radius: 20) [00:31:49] [worker #1] ML tree search #10, logLikelihood: -16451.572858 [00:31:49 -17969.823761] AUTODETECT spr round 5 (radius: 25) [00:32:14 -17969.798093] SPR radius for FAST iterations: 20 (autodetect) [00:32:14 -17969.798093] Model parameter optimization (eps = 3.000000) [00:32:28 -17874.524871] FAST spr round 1 (radius: 20) [00:32:51 -16508.762049] FAST spr round 2 (radius: 20) [00:33:11 -16454.736713] FAST spr round 3 (radius: 20) [00:33:26 -16452.193407] FAST spr round 4 (radius: 20) [00:33:40 -16451.537426] FAST spr round 5 (radius: 20) [00:33:54 -16451.537378] Model parameter optimization (eps = 1.000000) [00:34:02 -16449.088499] SLOW spr round 1 (radius: 5) [00:34:31 -16447.455087] SLOW spr round 2 (radius: 5) [00:34:57 -16447.454672] SLOW spr round 3 (radius: 10) [00:35:21 -16447.454624] SLOW spr round 4 (radius: 15) [00:36:04 -16447.454617] SLOW spr round 5 (radius: 20) [00:36:14] [worker #3] ML tree search #12, logLikelihood: -16448.125312 [00:36:54 -16441.250046] SLOW spr round 6 (radius: 5) [00:37:37 -16440.969824] SLOW spr round 7 (radius: 5) [00:38:10 -16440.969764] SLOW spr round 8 (radius: 10) [00:38:38 -16440.969762] SLOW spr round 9 (radius: 15) [00:39:19 -16440.969762] SLOW spr round 10 (radius: 20) [00:40:07 -16440.969762] SLOW spr round 11 (radius: 25) [00:40:48 -16440.969762] Model parameter optimization (eps = 0.100000) [00:40:51] [worker #0] ML tree search #13, logLikelihood: -16440.916357 [00:40:51 -44404.089344] Initial branch length optimization [00:40:52 -36089.030941] Model parameter optimization (eps = 10.000000) [00:41:06 -36045.549169] AUTODETECT spr round 1 (radius: 5) [00:41:09] [worker #2] ML tree search #15, logLikelihood: -16445.514231 [00:41:21 -24767.375812] AUTODETECT spr round 2 (radius: 10) [00:41:44 -19782.959039] AUTODETECT spr round 3 (radius: 15) [00:42:11 -17737.791889] AUTODETECT spr round 4 (radius: 20) [00:42:36 -17626.207914] AUTODETECT spr round 5 (radius: 25) [00:42:44] [worker #1] ML tree search #14, logLikelihood: -16453.835296 [00:43:00 -17621.136988] SPR radius for FAST iterations: 25 (autodetect) [00:43:00 -17621.136988] Model parameter optimization (eps = 3.000000) [00:43:19 -17567.155866] FAST spr round 1 (radius: 25) [00:43:42 -16589.777280] FAST spr round 2 (radius: 25) [00:44:03 -16467.353969] FAST spr round 3 (radius: 25) [00:44:17 -16461.330063] FAST spr round 4 (radius: 25) [00:44:29 -16461.214351] FAST spr round 5 (radius: 25) [00:44:42 -16461.214288] Model parameter optimization (eps = 1.000000) [00:44:49 -16459.257269] SLOW spr round 1 (radius: 5) [00:45:17 -16447.690251] SLOW spr round 2 (radius: 5) [00:45:43 -16445.659753] SLOW spr round 3 (radius: 5) [00:46:07 -16445.659185] SLOW spr round 4 (radius: 10) [00:46:30 -16445.659171] SLOW spr round 5 (radius: 15) [00:47:17 -16445.659171] SLOW spr round 6 (radius: 20) [00:47:38] [worker #3] ML tree search #16, logLikelihood: -16451.905435 [00:48:03 -16445.659171] SLOW spr round 7 (radius: 25) [00:48:44 -16445.659171] Model parameter optimization (eps = 0.100000) [00:48:48] [worker #0] ML tree search #17, logLikelihood: -16445.556044 [00:52:23] [worker #1] ML tree search #18, logLikelihood: -16453.562670 [00:52:40] [worker #2] ML tree search #19, logLikelihood: -16448.886733 [00:57:53] [worker #3] ML tree search #20, logLikelihood: -16448.792349 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.149309,0.293505) (0.154342,0.983442) (0.243162,0.768306) (0.453186,1.362723) 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: -16440.916357 AIC score: 33699.832713 / AICc score: 369079.832713 / BIC score: 35010.271448 Free parameters (model + branch lengths): 409 WARNING: Number of free parameters (K=409) is larger than alignment size (n=182). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6NGB9/3_mltree/A6NGB9.raxml.log Analysis started: 26-Jul-2021 00:10:22 / finished: 26-Jul-2021 01:08:16 Elapsed time: 3473.966 seconds Consumed energy: 275.525 Wh (= 1 km in an electric car, or 7 km with an e-scooter!)