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 08:00:37 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/2_msa/Q96DP5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5 --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/300621_run/phylogeny-snakemake/results/Q96DP5/2_msa/Q96DP5_trimmed_msa.fasta [00:00:00] Loaded alignment with 569 taxa and 294 sites WARNING: Sequences tr_A0A179UED5_A0A179UED5_BLAGS_559298 and tr_C5GE78_C5GE78_AJEDR_559297 are exactly identical! WARNING: Sequences tr_H2Q9L6_H2Q9L6_PANTR_9598 and tr_A0A2R9B368_A0A2R9B368_PANPA_9597 are exactly identical! WARNING: Sequences tr_E9ES78_E9ES78_METRA_655844 and tr_A0A0D9PEJ7_A0A0D9PEJ7_METAN_1291518 are exactly identical! WARNING: Sequences tr_F2SYC7_F2SYC7_TRIRC_559305 and tr_A0A178F4M9_A0A178F4M9_TRIRU_5551 are exactly identical! WARNING: Sequences tr_W2PX68_W2PX68_PHYPN_761204 and tr_W2KUF4_W2KUF4_PHYPR_4792 are exactly identical! WARNING: Sequences tr_X0D820_X0D820_FUSOX_1089458 and tr_A0A2H3SMV3_A0A2H3SMV3_FUSOX_5507 are exactly identical! WARNING: Sequences tr_X0D820_X0D820_FUSOX_1089458 and tr_A0A2H3GXD5_A0A2H3GXD5_FUSOX_327505 are exactly identical! WARNING: Sequences tr_A0A0A1NQP6_A0A0A1NQP6_9FUNG_58291 and tr_A0A367JDV9_A0A367JDV9_9FUNG_86630 are exactly identical! WARNING: Sequences tr_A0A100INJ2_A0A100INJ2_ASPNG_5061 and tr_A0A1L9NMI2_A0A1L9NMI2_ASPTU_767770 are exactly identical! WARNING: Duplicate sequences found: 9 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/Q96DP5/3_mltree/Q96DP5.raxml.reduced.phy Alignment comprises 1 partitions and 294 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 294 / 294 Gaps: 11.01 % Invariant sites: 0.34 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.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 569 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 294 / 23520 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -314395.095712] Initial branch length optimization [00:00:06 -265799.727235] Model parameter optimization (eps = 10.000000) [00:01:17 -265259.226466] AUTODETECT spr round 1 (radius: 5) [00:03:56 -212420.603519] AUTODETECT spr round 2 (radius: 10) [00:07:02 -168349.683997] AUTODETECT spr round 3 (radius: 15) [00:10:54 -150354.333084] AUTODETECT spr round 4 (radius: 20) [00:15:31 -144677.277857] AUTODETECT spr round 5 (radius: 25) [00:20:51 -144261.891457] SPR radius for FAST iterations: 25 (autodetect) [00:20:51 -144261.891457] Model parameter optimization (eps = 3.000000) [00:21:31 -144084.507835] FAST spr round 1 (radius: 25) [00:26:07 -133991.883305] FAST spr round 2 (radius: 25) [00:29:25 -133608.791048] FAST spr round 3 (radius: 25) [00:31:59 -133577.449230] FAST spr round 4 (radius: 25) [00:34:07 -133575.822508] FAST spr round 5 (radius: 25) [00:34:56] [worker #3] ML tree search #4, logLikelihood: -133515.496284 [00:36:12 -133572.939558] FAST spr round 6 (radius: 25) [00:37:36] [worker #1] ML tree search #2, logLikelihood: -133530.145416 [00:38:10 -133572.938550] Model parameter optimization (eps = 1.000000) [00:38:30 -133571.486225] SLOW spr round 1 (radius: 5) [00:41:59 -133549.371815] SLOW spr round 2 (radius: 5) [00:45:04 -133545.839730] SLOW spr round 3 (radius: 5) [00:48:01 -133545.839687] SLOW spr round 4 (radius: 10) [00:51:07 -133543.501993] SLOW spr round 5 (radius: 5) [00:55:19 -133531.663422] SLOW spr round 6 (radius: 5) [00:58:51 -133525.222844] SLOW spr round 7 (radius: 5) [01:02:00 -133525.221611] SLOW spr round 8 (radius: 10) [01:05:05 -133524.448628] SLOW spr round 9 (radius: 5) [01:06:57 -133524.138485] SLOW spr round 10 (radius: 5) [01:08:33 -133524.138301] SLOW spr round 11 (radius: 10) [01:10:04 -133523.828596] SLOW spr round 12 (radius: 5) [01:11:54 -133522.148632] SLOW spr round 13 (radius: 5) [01:13:29 -133522.148600] SLOW spr round 14 (radius: 10) [01:15:00 -133522.148599] SLOW spr round 15 (radius: 15) [01:16:04] [worker #4] ML tree search #5, logLikelihood: -133544.829165 [01:17:44 -133522.148599] SLOW spr round 16 (radius: 20) [01:21:38 -133522.148599] SLOW spr round 17 (radius: 25) [01:21:55] [worker #1] ML tree search #8, logLikelihood: -133526.462445 [01:23:56] [worker #3] ML tree search #10, logLikelihood: -133540.699920 [01:25:55 -133522.148599] Model parameter optimization (eps = 0.100000) [01:26:04] [worker #0] ML tree search #1, logLikelihood: -133521.866056 [01:26:04 -311453.107137] Initial branch length optimization [01:26:08 -264597.503013] Model parameter optimization (eps = 10.000000) [01:26:35 -264046.913474] AUTODETECT spr round 1 (radius: 5) [01:27:48 -212852.059400] AUTODETECT spr round 2 (radius: 10) [01:29:17 -163222.122433] AUTODETECT spr round 3 (radius: 15) [01:30:57 -149722.693767] AUTODETECT spr round 4 (radius: 20) [01:33:08 -145160.800662] AUTODETECT spr round 5 (radius: 25) [01:35:44 -143869.727531] SPR radius for FAST iterations: 25 (autodetect) [01:35:44 -143869.727531] Model parameter optimization (eps = 3.000000) [01:36:05 -143685.104701] FAST spr round 1 (radius: 25) [01:36:40] [worker #2] ML tree search #3, logLikelihood: -133527.958185 [01:38:16 -134028.881512] FAST spr round 2 (radius: 25) [01:39:45 -133640.420321] FAST spr round 3 (radius: 25) [01:40:59 -133602.552112] FAST spr round 4 (radius: 25) [01:41:59 -133596.586138] FAST spr round 5 (radius: 25) [01:42:55 -133596.585363] Model parameter optimization (eps = 1.000000) [01:43:08 -133594.819790] SLOW spr round 1 (radius: 5) [01:44:46 -133570.913606] SLOW spr round 2 (radius: 5) [01:46:17 -133562.975874] SLOW spr round 3 (radius: 5) [01:47:41 -133562.761586] SLOW spr round 4 (radius: 5) [01:49:03 -133562.761024] SLOW spr round 5 (radius: 10) [01:50:32 -133560.536601] SLOW spr round 6 (radius: 5) [01:52:27 -133554.589611] SLOW spr round 7 (radius: 5) [01:54:02 -133554.588977] SLOW spr round 8 (radius: 10) [01:55:34 -133554.352808] SLOW spr round 9 (radius: 5) [01:57:24 -133554.345086] SLOW spr round 10 (radius: 10) [01:57:48] [worker #5] ML tree search #6, logLikelihood: -133526.687172 [01:59:05 -133554.344483] SLOW spr round 11 (radius: 15) [02:01:50 -133554.343862] SLOW spr round 12 (radius: 20) [02:04:42] [worker #3] ML tree search #16, logLikelihood: -133526.375058 [02:06:05 -133554.343221] SLOW spr round 13 (radius: 25) [02:10:47 -133554.342559] Model parameter optimization (eps = 0.100000) [02:10:56] [worker #0] ML tree search #7, logLikelihood: -133553.881162 [02:10:56 -314223.275338] Initial branch length optimization [02:11:00 -265546.268010] Model parameter optimization (eps = 10.000000) [02:11:41 -264953.787399] AUTODETECT spr round 1 (radius: 5) [02:12:56 -213356.859768] AUTODETECT spr round 2 (radius: 10) [02:14:24 -165349.600700] AUTODETECT spr round 3 (radius: 15) [02:16:08 -149609.551312] AUTODETECT spr round 4 (radius: 20) [02:18:01 -145100.626335] AUTODETECT spr round 5 (radius: 25) [02:20:11 -144316.180010] SPR radius for FAST iterations: 25 (autodetect) [02:20:11 -144316.180010] Model parameter optimization (eps = 3.000000) [02:20:28 -144161.566944] FAST spr round 1 (radius: 25) [02:22:28 -134132.111794] FAST spr round 2 (radius: 25) [02:23:56 -133623.414386] FAST spr round 3 (radius: 25) [02:25:11 -133574.822529] FAST spr round 4 (radius: 25) [02:26:15 -133562.602349] FAST spr round 5 (radius: 25) [02:27:12 -133561.318825] FAST spr round 6 (radius: 25) [02:28:07 -133561.318778] Model parameter optimization (eps = 1.000000) [02:28:19 -133556.779368] SLOW spr round 1 (radius: 5) [02:29:54 -133528.850785] SLOW spr round 2 (radius: 5) [02:31:22 -133523.618161] SLOW spr round 3 (radius: 5) [02:32:05] [worker #4] ML tree search #11, logLikelihood: -133542.970574 [02:32:44 -133523.617883] SLOW spr round 4 (radius: 10) [02:35:08 -133523.617881] SLOW spr round 5 (radius: 15) [02:37:15] [worker #1] ML tree search #14, logLikelihood: -133541.913029 [02:40:08 -133523.617881] SLOW spr round 6 (radius: 20) [02:46:56 -133523.617881] SLOW spr round 7 (radius: 25) [02:53:09] [worker #2] ML tree search #9, logLikelihood: -133539.483903 [02:54:20 -133523.617881] Model parameter optimization (eps = 0.100000) [02:54:34] [worker #0] ML tree search #13, logLikelihood: -133523.486647 [02:54:34 -316020.214157] Initial branch length optimization [02:54:43 -267230.253065] Model parameter optimization (eps = 10.000000) [02:55:37 -266601.454252] AUTODETECT spr round 1 (radius: 5) [02:57:41 -213588.903294] AUTODETECT spr round 2 (radius: 10) [03:00:06 -168463.874250] AUTODETECT spr round 3 (radius: 15) [03:02:37] [worker #5] ML tree search #12, logLikelihood: -133529.653953 [03:03:00 -156153.963276] AUTODETECT spr round 4 (radius: 20) [03:06:50 -148132.925649] AUTODETECT spr round 5 (radius: 25) [03:11:06 -146801.149904] SPR radius for FAST iterations: 25 (autodetect) [03:11:06 -146801.149904] Model parameter optimization (eps = 3.000000) [03:11:15 -146798.967431] FAST spr round 1 (radius: 25) [03:14:17 -134298.410810] FAST spr round 2 (radius: 25) [03:16:06 -133791.503674] FAST spr round 3 (radius: 25) [03:16:56] [worker #1] ML tree search #20, logLikelihood: -133550.216191 [03:17:38 -133719.298197] FAST spr round 4 (radius: 25) [03:18:49 -133713.661951] FAST spr round 5 (radius: 25) [03:19:56 -133713.661318] Model parameter optimization (eps = 1.000000) [03:20:28 -133584.371602] SLOW spr round 1 (radius: 5) [03:23:59 -133546.892343] SLOW spr round 2 (radius: 5) [03:27:10 -133541.175901] SLOW spr round 3 (radius: 5) [03:30:18 -133537.206161] SLOW spr round 4 (radius: 5) [03:33:18 -133533.440608] SLOW spr round 5 (radius: 5) [03:36:13 -133533.439291] SLOW spr round 6 (radius: 10) [03:39:19 -133533.437993] SLOW spr round 7 (radius: 15) [03:46:28 -133533.436650] SLOW spr round 8 (radius: 20) [03:51:04] [worker #5] ML tree search #18, logLikelihood: -133524.479689 [03:55:09] [worker #4] ML tree search #17, logLikelihood: -133539.636054 [03:56:11 -133533.435665] SLOW spr round 9 (radius: 25) [04:06:16 -133533.435646] Model parameter optimization (eps = 0.100000) [04:06:45] [worker #0] ML tree search #19, logLikelihood: -133532.072562 [04:14:52] [worker #2] ML tree search #15, logLikelihood: -133537.558806 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.151118,0.391968) (0.192055,0.371503) (0.357777,0.907970) (0.299050,1.820988) 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: -133515.496284 AIC score: 269312.992568 / AICc score: 2875356.992568 / BIC score: 273515.957082 Free parameters (model + branch lengths): 1141 WARNING: Number of free parameters (K=1141) is larger than alignment size (n=294). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 13 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96DP5/3_mltree/Q96DP5.raxml.log Analysis started: 05-Jul-2021 08:00:37 / finished: 05-Jul-2021 12:15:29 Elapsed time: 15292.478 seconds Consumed energy: 1149.919 Wh (= 6 km in an electric car, or 29 km with an e-scooter!)