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 06-Jul-2021 13:46:49 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/2_msa/Q9UHJ9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9 --seed 2 --threads 5 --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 (5 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/2_msa/Q9UHJ9_trimmed_msa.fasta [00:00:00] Loaded alignment with 302 taxa and 354 sites WARNING: Sequences tr_G3R9Z4_G3R9Z4_GORGO_9595 and tr_A0A2J8R1Z4_A0A2J8R1Z4_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3R9Z4_G3R9Z4_GORGO_9595 and tr_A0A2J8ITX3_A0A2J8ITX3_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3R9Z4_G3R9Z4_GORGO_9595 and tr_A0A2R9CN44_A0A2R9CN44_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q29M88_PGAP2_DROPS_46245 and tr_B4G9K6_B4G9K6_DROPE_7234 are exactly identical! WARNING: Sequences tr_A0A158P2C0_A0A158P2C0_ATTCE_12957 and tr_F4W6M0_F4W6M0_ACREC_103372 are exactly identical! WARNING: Sequences tr_A0A158P2C0_A0A158P2C0_ATTCE_12957 and tr_A0A195BT91_A0A195BT91_9HYME_520822 are exactly identical! WARNING: Sequences tr_F6ZFJ5_F6ZFJ5_MACMU_9544 and tr_G8F3J2_G8F3J2_MACFA_9541 are exactly identical! WARNING: Sequences tr_F6ZFJ5_F6ZFJ5_MACMU_9544 and tr_A0A2I3LJQ0_A0A2I3LJQ0_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F6ZFJ5_F6ZFJ5_MACMU_9544 and tr_A0A2K6AP51_A0A2K6AP51_MACNE_9545 are exactly identical! WARNING: Sequences tr_F6ZFJ5_F6ZFJ5_MACMU_9544 and tr_A0A2K5ZLF1_A0A2K5ZLF1_MANLE_9568 are exactly identical! WARNING: Sequences tr_E3MCU0_E3MCU0_CAERE_31234 and tr_A0A260ZSE6_A0A260ZSE6_9PELO_1503980 are exactly identical! WARNING: Sequences sp_A8XST1_PGAP2_CAEBR_6238 and tr_A0A2G5UFE9_A0A2G5UFE9_9PELO_1611254 are exactly identical! WARNING: Sequences tr_A0A091EBQ0_A0A091EBQ0_CORBR_85066 and tr_A0A0A0ATB9_A0A0A0ATB9_CHAVO_50402 are exactly identical! WARNING: Duplicate sequences found: 13 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/Q9UHJ9/3_mltree/Q9UHJ9.raxml.reduced.phy Alignment comprises 1 partitions and 350 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 354 / 350 Gaps: 33.41 % Invariant sites: 6.21 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.rba Parallelization scheme autoconfig: 5 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 302 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 350 / 28000 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -142446.712138] Initial branch length optimization [00:00:01 -115199.247881] Model parameter optimization (eps = 10.000000) [00:00:25 -114763.739898] AUTODETECT spr round 1 (radius: 5) [00:00:55 -91824.312144] AUTODETECT spr round 2 (radius: 10) [00:01:35 -71595.298838] AUTODETECT spr round 3 (radius: 15) [00:02:28 -61717.735065] AUTODETECT spr round 4 (radius: 20) [00:03:37 -60521.522370] AUTODETECT spr round 5 (radius: 25) [00:04:47 -60429.426957] SPR radius for FAST iterations: 25 (autodetect) [00:04:47 -60429.426957] Model parameter optimization (eps = 3.000000) [00:04:58 -60387.432235] FAST spr round 1 (radius: 25) [00:05:44 -55402.861085] FAST spr round 2 (radius: 25) [00:06:22 -55127.775950] FAST spr round 3 (radius: 25) [00:06:52 -55102.715150] FAST spr round 4 (radius: 25) [00:07:18 -55099.710552] FAST spr round 5 (radius: 25) [00:07:41 -55097.811067] FAST spr round 6 (radius: 25) [00:08:04 -55097.811061] Model parameter optimization (eps = 1.000000) [00:08:11 -55096.506031] SLOW spr round 1 (radius: 5) [00:09:04 -55084.961640] SLOW spr round 2 (radius: 5) [00:09:53 -55082.802565] SLOW spr round 3 (radius: 5) [00:10:38 -55082.802458] SLOW spr round 4 (radius: 10) [00:11:26 -55082.345450] SLOW spr round 5 (radius: 5) [00:12:30 -55082.345441] SLOW spr round 6 (radius: 10) [00:13:30 -55081.930201] SLOW spr round 7 (radius: 5) [00:14:31 -55081.930113] SLOW spr round 8 (radius: 10) [00:15:28 -55081.930103] SLOW spr round 9 (radius: 15) [00:16:54 -55081.930101] SLOW spr round 10 (radius: 20) [00:17:04] [worker #2] ML tree search #3, logLikelihood: -55074.456033 [00:17:05] [worker #4] ML tree search #5, logLikelihood: -55089.202265 [00:18:22] [worker #3] ML tree search #4, logLikelihood: -55076.846638 [00:18:48 -55081.930100] SLOW spr round 11 (radius: 25) [00:20:11] [worker #1] ML tree search #2, logLikelihood: -55088.242662 [00:20:42 -55081.930100] Model parameter optimization (eps = 0.100000) [00:20:46] [worker #0] ML tree search #1, logLikelihood: -55081.876533 [00:20:46 -142219.587621] Initial branch length optimization [00:20:48 -114623.098054] Model parameter optimization (eps = 10.000000) [00:21:10 -114180.510851] AUTODETECT spr round 1 (radius: 5) [00:21:42 -85880.360191] AUTODETECT spr round 2 (radius: 10) [00:22:23 -66030.439098] AUTODETECT spr round 3 (radius: 15) [00:23:17 -60764.599835] AUTODETECT spr round 4 (radius: 20) [00:24:33 -60116.549370] AUTODETECT spr round 5 (radius: 25) [00:25:52 -59491.935155] SPR radius for FAST iterations: 25 (autodetect) [00:25:52 -59491.935155] Model parameter optimization (eps = 3.000000) [00:26:06 -59436.949883] FAST spr round 1 (radius: 25) [00:26:45 -55545.433179] FAST spr round 2 (radius: 25) [00:27:18 -55161.369908] FAST spr round 3 (radius: 25) [00:27:44 -55149.417797] FAST spr round 4 (radius: 25) [00:28:08 -55147.358804] FAST spr round 5 (radius: 25) [00:28:31 -55147.358666] Model parameter optimization (eps = 1.000000) [00:28:41 -55141.062642] SLOW spr round 1 (radius: 5) [00:29:33 -55105.882976] SLOW spr round 2 (radius: 5) [00:30:20 -55105.037766] SLOW spr round 3 (radius: 5) [00:31:05 -55104.882469] SLOW spr round 4 (radius: 5) [00:31:50 -55104.882351] SLOW spr round 5 (radius: 10) [00:32:39 -55101.938972] SLOW spr round 6 (radius: 5) [00:33:45 -55097.384271] SLOW spr round 7 (radius: 5) [00:34:38 -55097.384264] SLOW spr round 8 (radius: 10) [00:34:57] [worker #2] ML tree search #8, logLikelihood: -55078.893285 [00:35:30 -55097.050200] SLOW spr round 9 (radius: 5) [00:36:34 -55097.050175] SLOW spr round 10 (radius: 10) [00:36:42] [worker #4] ML tree search #10, logLikelihood: -55079.009955 [00:37:35 -55096.884059] SLOW spr round 11 (radius: 5) [00:38:09] [worker #3] ML tree search #9, logLikelihood: -55076.988512 [00:38:38 -55096.884035] SLOW spr round 12 (radius: 10) [00:39:22] [worker #1] ML tree search #7, logLikelihood: -55080.264308 [00:39:37 -55096.884034] SLOW spr round 13 (radius: 15) [00:41:08 -55096.884034] SLOW spr round 14 (radius: 20) [00:43:08 -55096.884034] SLOW spr round 15 (radius: 25) [00:45:02 -55096.884034] Model parameter optimization (eps = 0.100000) [00:45:09] [worker #0] ML tree search #6, logLikelihood: -55096.175819 [00:45:09 -140825.241364] Initial branch length optimization [00:45:11 -114262.673243] Model parameter optimization (eps = 10.000000) [00:45:43 -113751.928585] AUTODETECT spr round 1 (radius: 5) [00:46:14 -88234.735363] AUTODETECT spr round 2 (radius: 10) [00:46:55 -67234.231855] AUTODETECT spr round 3 (radius: 15) [00:47:46 -61075.199213] AUTODETECT spr round 4 (radius: 20) [00:48:52 -60614.322305] AUTODETECT spr round 5 (radius: 25) [00:50:04 -60516.104820] SPR radius for FAST iterations: 25 (autodetect) [00:50:04 -60516.104820] Model parameter optimization (eps = 3.000000) [00:50:18 -60475.598298] FAST spr round 1 (radius: 25) [00:50:58 -55405.502592] FAST spr round 2 (radius: 25) [00:51:04] [worker #2] ML tree search #13, logLikelihood: -55076.282597 [00:51:31 -55139.247270] FAST spr round 3 (radius: 25) [00:51:59 -55120.143860] FAST spr round 4 (radius: 25) [00:52:23 -55120.143185] Model parameter optimization (eps = 1.000000) [00:52:31 -55114.472422] SLOW spr round 1 (radius: 5) [00:53:22 -55091.664739] SLOW spr round 2 (radius: 5) [00:54:11 -55081.661332] SLOW spr round 3 (radius: 5) [00:54:56 -55081.660782] SLOW spr round 4 (radius: 10) [00:55:43 -55081.078684] SLOW spr round 5 (radius: 5) [00:56:39] [worker #3] ML tree search #14, logLikelihood: -55088.655979 [00:56:47 -55081.078650] SLOW spr round 6 (radius: 10) [00:56:52] [worker #4] ML tree search #15, logLikelihood: -55081.766604 [00:57:48 -55081.078650] SLOW spr round 7 (radius: 15) [00:59:11 -55081.078650] SLOW spr round 8 (radius: 20) [01:00:01] [worker #1] ML tree search #12, logLikelihood: -55091.649355 [01:00:53 -55081.078650] SLOW spr round 9 (radius: 25) [01:02:38 -55081.078650] Model parameter optimization (eps = 0.100000) [01:02:44] [worker #0] ML tree search #11, logLikelihood: -55080.105421 [01:02:44 -141905.166595] Initial branch length optimization [01:02:46 -114921.113424] Model parameter optimization (eps = 10.000000) [01:03:14 -114432.658083] AUTODETECT spr round 1 (radius: 5) [01:03:43 -90287.130087] AUTODETECT spr round 2 (radius: 10) [01:04:20 -73498.549734] AUTODETECT spr round 3 (radius: 15) [01:05:16 -61700.577283] AUTODETECT spr round 4 (radius: 20) [01:06:22 -59867.803456] AUTODETECT spr round 5 (radius: 25) [01:07:29 -59867.758852] SPR radius for FAST iterations: 20 (autodetect) [01:07:29 -59867.758852] Model parameter optimization (eps = 3.000000) [01:07:42 -59790.598145] FAST spr round 1 (radius: 20) [01:08:28 -55386.349693] FAST spr round 2 (radius: 20) [01:09:03 -55115.454054] FAST spr round 3 (radius: 20) [01:09:08] [worker #2] ML tree search #18, logLikelihood: -55083.392517 [01:09:29 -55106.173161] FAST spr round 4 (radius: 20) [01:09:51 -55106.172977] Model parameter optimization (eps = 1.000000) [01:09:57 -55104.786726] SLOW spr round 1 (radius: 5) [01:10:49 -55082.379071] SLOW spr round 2 (radius: 5) [01:11:32 -55082.370280] SLOW spr round 3 (radius: 10) [01:12:17 -55081.921987] SLOW spr round 4 (radius: 5) [01:13:16 -55081.921941] SLOW spr round 5 (radius: 10) [01:14:10 -55081.921939] SLOW spr round 6 (radius: 15) [01:15:05] [worker #4] ML tree search #20, logLikelihood: -55082.440314 [01:15:28 -55081.921939] SLOW spr round 7 (radius: 20) [01:17:08] [worker #1] ML tree search #17, logLikelihood: -55086.438900 [01:17:17 -55081.921939] SLOW spr round 8 (radius: 25) [01:19:04 -55081.921939] Model parameter optimization (eps = 0.100000) [01:19:08] [worker #0] ML tree search #16, logLikelihood: -55081.830979 [01:19:16] [worker #3] ML tree search #19, logLikelihood: -55077.106982 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.187322,0.381849) (0.243480,0.728666) (0.361197,1.079081) (0.208001,1.736987) 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: -55074.456033 AIC score: 111362.912066 / AICc score: 849474.912066 / BIC score: 113711.575292 Free parameters (model + branch lengths): 607 WARNING: Number of free parameters (K=607) is larger than alignment size (n=354). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 28 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UHJ9/3_mltree/Q9UHJ9.raxml.log Analysis started: 06-Jul-2021 13:46:49 / finished: 06-Jul-2021 15:06:06 Elapsed time: 4756.807 seconds Consumed energy: 315.050 Wh (= 2 km in an electric car, or 8 km with an e-scooter!)