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 05-Jul-2021 14:35:06 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/2_msa/Q8N511_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511 --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/300621_run/phylogeny-snakemake/results/Q8N511/2_msa/Q8N511_trimmed_msa.fasta [00:00:00] Loaded alignment with 153 taxa and 193 sites WARNING: Sequences tr_H2QCH1_H2QCH1_PANTR_9598 and sp_Q8N511_TM199_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2QCH1_H2QCH1_PANTR_9598 and tr_A0A2R8ZI11_A0A2R8ZI11_PANPA_9597 are exactly identical! WARNING: Sequences tr_F7DGS1_F7DGS1_MACMU_9544 and tr_A0A2I3LMV0_A0A2I3LMV0_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F4NSV8_F4NSV8_BATDJ_684364 and tr_A0A177W7L5_A0A177W7L5_BATDE_403673 are exactly identical! WARNING: Sequences tr_B3S804_B3S804_TRIAD_10228 and tr_A0A369RT95_A0A369RT95_9METZ_287889 are exactly identical! WARNING: Sequences tr_A0A015MA39_A0A015MA39_9GLOM_1432141 and tr_A0A2I1G6B8_A0A2I1G6B8_9GLOM_588596 are exactly identical! WARNING: Sequences tr_A0A015MA39_A0A015MA39_9GLOM_1432141 and tr_U9TVL4_U9TVL4_RHIID_747089 are exactly identical! WARNING: Duplicate sequences found: 7 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/Q8N511/3_mltree/Q8N511.raxml.reduced.phy Alignment comprises 1 partitions and 193 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 193 / 193 Gaps: 8.24 % Invariant sites: 0.52 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.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 153 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 193 / 15440 [00:00:00] Data distribution: max. searches per worker: 5 Starting ML tree search with 20 distinct starting trees [00:00:00 -48990.809517] Initial branch length optimization [00:00:00 -36086.419531] Model parameter optimization (eps = 10.000000) [00:00:08 -35963.412853] AUTODETECT spr round 1 (radius: 5) [00:00:14 -29349.173442] AUTODETECT spr round 2 (radius: 10) [00:00:22 -24220.119326] AUTODETECT spr round 3 (radius: 15) [00:00:31 -23542.848657] AUTODETECT spr round 4 (radius: 20) [00:00:43 -21924.744252] AUTODETECT spr round 5 (radius: 25) [00:00:53 -21895.386238] SPR radius for FAST iterations: 25 (autodetect) [00:00:53 -21895.386238] Model parameter optimization (eps = 3.000000) [00:00:59 -21811.947434] FAST spr round 1 (radius: 25) [00:01:05 -20535.224113] FAST spr round 2 (radius: 25) [00:01:12 -20465.823856] FAST spr round 3 (radius: 25) [00:01:16 -20455.769122] FAST spr round 4 (radius: 25) [00:01:21 -20449.197736] FAST spr round 5 (radius: 25) [00:01:26 -20449.197637] Model parameter optimization (eps = 1.000000) [00:01:29 -20445.731214] SLOW spr round 1 (radius: 5) [00:01:40 -20440.363323] SLOW spr round 2 (radius: 5) [00:01:50 -20440.363100] SLOW spr round 3 (radius: 10) [00:01:58 -20440.363095] SLOW spr round 4 (radius: 15) [00:02:16 -20440.363095] SLOW spr round 5 (radius: 20) [00:02:33 -20440.363095] SLOW spr round 6 (radius: 25) [00:02:44 -20440.363095] Model parameter optimization (eps = 0.100000) [00:02:45] [worker #0] ML tree search #1, logLikelihood: -20440.341855 [00:02:45 -48758.011689] Initial branch length optimization [00:02:45 -36254.962170] Model parameter optimization (eps = 10.000000) [00:02:53 -36123.658585] AUTODETECT spr round 1 (radius: 5) [00:02:58 -28669.265367] AUTODETECT spr round 2 (radius: 10) [00:03:01] [worker #1] ML tree search #2, logLikelihood: -20437.485468 [00:03:06 -23077.943068] AUTODETECT spr round 3 (radius: 15) [00:03:16 -22645.791522] AUTODETECT spr round 4 (radius: 20) [00:03:19] [worker #3] ML tree search #4, logLikelihood: -20443.283363 [00:03:24 -22645.763525] SPR radius for FAST iterations: 15 (autodetect) [00:03:24 -22645.763525] Model parameter optimization (eps = 3.000000) [00:03:32 -22555.052524] FAST spr round 1 (radius: 15) [00:03:34] [worker #2] ML tree search #3, logLikelihood: -20442.983471 [00:03:40 -20543.561415] FAST spr round 2 (radius: 15) [00:03:47 -20459.724527] FAST spr round 3 (radius: 15) [00:03:53 -20448.899602] FAST spr round 4 (radius: 15) [00:03:57 -20448.899503] Model parameter optimization (eps = 1.000000) [00:04:00 -20446.257823] SLOW spr round 1 (radius: 5) [00:04:12 -20445.046847] SLOW spr round 2 (radius: 5) [00:04:22 -20444.746071] SLOW spr round 3 (radius: 5) [00:04:32 -20444.746008] SLOW spr round 4 (radius: 10) [00:04:41 -20444.746005] SLOW spr round 5 (radius: 15) [00:04:59 -20444.746004] SLOW spr round 6 (radius: 20) [00:05:15 -20444.746004] SLOW spr round 7 (radius: 25) [00:05:26 -20444.746004] Model parameter optimization (eps = 0.100000) [00:05:27] [worker #0] ML tree search #5, logLikelihood: -20444.681986 [00:05:27 -48341.871280] Initial branch length optimization [00:05:27 -35939.784076] Model parameter optimization (eps = 10.000000) [00:05:35 -35826.667866] AUTODETECT spr round 1 (radius: 5) [00:05:40 -27795.659874] AUTODETECT spr round 2 (radius: 10) [00:05:47 -22588.365379] AUTODETECT spr round 3 (radius: 15) [00:05:56 -21976.437243] AUTODETECT spr round 4 (radius: 20) [00:06:03 -21930.183020] AUTODETECT spr round 5 (radius: 25) [00:06:11 -21930.181245] SPR radius for FAST iterations: 20 (autodetect) [00:06:11 -21930.181245] Model parameter optimization (eps = 3.000000) [00:06:18 -21850.450086] FAST spr round 1 (radius: 20) [00:06:21] [worker #3] ML tree search #8, logLikelihood: -20440.812862 [00:06:24] [worker #1] ML tree search #6, logLikelihood: -20444.682186 [00:06:25 -20499.478844] FAST spr round 2 (radius: 20) [00:06:31 -20452.617507] FAST spr round 3 (radius: 20) [00:06:35 -20452.460666] FAST spr round 4 (radius: 20) [00:06:39 -20452.460055] Model parameter optimization (eps = 1.000000) [00:06:41] [worker #2] ML tree search #7, logLikelihood: -20450.135064 [00:06:44 -20450.492742] SLOW spr round 1 (radius: 5) [00:06:55 -20449.802713] SLOW spr round 2 (radius: 5) [00:07:05 -20449.612843] SLOW spr round 3 (radius: 5) [00:07:15 -20449.612207] SLOW spr round 4 (radius: 10) [00:07:24 -20448.448305] SLOW spr round 5 (radius: 5) [00:07:38 -20448.447956] SLOW spr round 6 (radius: 10) [00:07:49 -20448.447931] SLOW spr round 7 (radius: 15) [00:08:04 -20448.447930] SLOW spr round 8 (radius: 20) [00:08:21 -20448.447930] SLOW spr round 9 (radius: 25) [00:08:33 -20448.447930] Model parameter optimization (eps = 0.100000) [00:08:36] [worker #0] ML tree search #9, logLikelihood: -20446.856156 [00:08:36 -48736.868149] Initial branch length optimization [00:08:37 -36225.629671] Model parameter optimization (eps = 10.000000) [00:08:45 -36073.586399] AUTODETECT spr round 1 (radius: 5) [00:08:50 -29975.271333] AUTODETECT spr round 2 (radius: 10) [00:08:58 -22915.855155] AUTODETECT spr round 3 (radius: 15) [00:09:05] [worker #1] ML tree search #10, logLikelihood: -20446.569006 [00:09:06 -21582.572190] AUTODETECT spr round 4 (radius: 20) [00:09:14] [worker #3] ML tree search #12, logLikelihood: -20437.251391 [00:09:15 -21448.447642] AUTODETECT spr round 5 (radius: 25) [00:09:23 -21448.445590] SPR radius for FAST iterations: 20 (autodetect) [00:09:23 -21448.445590] Model parameter optimization (eps = 3.000000) [00:09:30 -21378.678815] FAST spr round 1 (radius: 20) [00:09:36 -20504.563247] FAST spr round 2 (radius: 20) [00:09:43 -20447.614175] FAST spr round 3 (radius: 20) [00:09:44] [worker #2] ML tree search #11, logLikelihood: -20442.439703 [00:09:47 -20445.923991] FAST spr round 4 (radius: 20) [00:09:51 -20445.923877] Model parameter optimization (eps = 1.000000) [00:09:53 -20445.209545] SLOW spr round 1 (radius: 5) [00:10:03 -20444.336406] SLOW spr round 2 (radius: 5) [00:10:13 -20444.330108] SLOW spr round 3 (radius: 10) [00:10:21 -20442.600105] SLOW spr round 4 (radius: 5) [00:10:34 -20442.599388] SLOW spr round 5 (radius: 10) [00:10:45 -20442.599325] SLOW spr round 6 (radius: 15) [00:10:59 -20442.599320] SLOW spr round 7 (radius: 20) [00:11:15 -20442.599319] SLOW spr round 8 (radius: 25) [00:11:27 -20442.599319] Model parameter optimization (eps = 0.100000) [00:11:29] [worker #1] ML tree search #14, logLikelihood: -20444.291051 [00:11:31] [worker #0] ML tree search #13, logLikelihood: -20441.097580 [00:11:31 -47651.358708] Initial branch length optimization [00:11:31 -35989.462555] Model parameter optimization (eps = 10.000000) [00:11:38 -35831.679618] AUTODETECT spr round 1 (radius: 5) [00:11:43 -28409.993704] AUTODETECT spr round 2 (radius: 10) [00:11:44] [worker #3] ML tree search #16, logLikelihood: -20444.693148 [00:11:52 -24297.590481] AUTODETECT spr round 3 (radius: 15) [00:12:01 -21937.670023] AUTODETECT spr round 4 (radius: 20) [00:12:09 -21743.163783] AUTODETECT spr round 5 (radius: 25) [00:12:16 -21583.747527] SPR radius for FAST iterations: 25 (autodetect) [00:12:16 -21583.747527] Model parameter optimization (eps = 3.000000) [00:12:21 -21551.031871] FAST spr round 1 (radius: 25) [00:12:28 -20489.755347] FAST spr round 2 (radius: 25) [00:12:34 -20447.527981] FAST spr round 3 (radius: 25) [00:12:38] [worker #2] ML tree search #15, logLikelihood: -20443.519747 [00:12:38 -20446.875984] FAST spr round 4 (radius: 25) [00:12:42 -20446.875870] Model parameter optimization (eps = 1.000000) [00:12:45 -20445.478345] SLOW spr round 1 (radius: 5) [00:12:56 -20437.617011] SLOW spr round 2 (radius: 5) [00:13:05 -20437.269922] SLOW spr round 3 (radius: 5) [00:13:14 -20437.269525] SLOW spr round 4 (radius: 10) [00:13:23 -20437.269512] SLOW spr round 5 (radius: 15) [00:13:40 -20437.269511] SLOW spr round 6 (radius: 20) [00:13:55 -20437.269511] SLOW spr round 7 (radius: 25) [00:14:07 -20437.269511] Model parameter optimization (eps = 0.100000) [00:14:08] [worker #0] ML tree search #17, logLikelihood: -20437.250625 [00:14:16] [worker #1] ML tree search #18, logLikelihood: -20440.621409 [00:14:37] [worker #3] ML tree search #20, logLikelihood: -20446.849683 [00:15:52] [worker #2] ML tree search #19, logLikelihood: -20444.291607 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.127662,0.439337) (0.189032,0.532625) (0.438859,0.718429) (0.244447,2.159738) 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: -20437.250625 AIC score: 41492.501251 / AICc score: 233072.501251 / BIC score: 42500.672519 Free parameters (model + branch lengths): 309 WARNING: Number of free parameters (K=309) is larger than alignment size (n=193). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 21 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N511/3_mltree/Q8N511.raxml.log Analysis started: 05-Jul-2021 14:35:06 / finished: 05-Jul-2021 14:50:59 Elapsed time: 952.890 seconds Consumed energy: 70.702 Wh