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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM RAxML-NG was called at 14-Jul-2021 05:17:09 as follows: raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/2_msa/Q8IWB6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/2_msa/Q8IWB6_trimmed_msa.fasta [00:00:00] Loaded alignment with 362 taxa and 293 sites WARNING: Sequences tr_H2QDJ5_H2QDJ5_PANTR_9598 and tr_A0A2R9AWV9_A0A2R9AWV9_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A088A795_A0A088A795_APIME_7460 and tr_A0A2A3ED90_A0A2A3ED90_APICC_94128 are exactly identical! WARNING: Sequences tr_A0A158NKD5_A0A158NKD5_ATTCE_12957 and tr_A0A195AZZ8_A0A195AZZ8_9HYME_520822 are exactly identical! WARNING: Sequences tr_A0A0E0FP75_A0A0E0FP75_ORYNI_4536 and tr_B8AB76_B8AB76_ORYSI_39946 are exactly identical! WARNING: Sequences tr_A0A0E0G349_A0A0E0G349_ORYNI_4536 and tr_A0A0E0NB12_A0A0E0NB12_ORYRU_4529 are exactly identical! WARNING: Sequences tr_A0A0E0G349_A0A0E0G349_ORYNI_4536 and tr_Q6YUU3_Q6YUU3_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_A0A1D5R1W4_A0A1D5R1W4_MACMU_9544 and tr_G7PUG2_G7PUG2_MACFA_9541 are exactly identical! WARNING: Sequences tr_A0A1D5R1W4_A0A1D5R1W4_MACMU_9544 and tr_A0A2K5M704_A0A2K5M704_CERAT_9531 are exactly identical! WARNING: Sequences tr_A2XJ08_A2XJ08_ORYSI_39946 and tr_A0A0N7KHL0_A0A0N7KHL0_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_I1PAF4_I1PAF4_ORYGL_4538 and tr_A0A0D3FHD2_A0A0D3FHD2_9ORYZ_65489 are exactly identical! WARNING: Sequences tr_I1PD47_I1PD47_ORYGL_4538 and tr_A0A0D9ZA34_A0A0D9ZA34_9ORYZ_40148 are exactly identical! WARNING: Sequences tr_A0A0E0NTU3_A0A0E0NTU3_ORYRU_4529 and tr_A0A0D9Z5Z8_A0A0D9Z5Z8_9ORYZ_40148 are exactly identical! WARNING: Sequences tr_A0A0E0Q0I5_A0A0E0Q0I5_ORYRU_4529 and tr_A0A0D3GIZ8_A0A0D3GIZ8_9ORYZ_65489 are exactly identical! WARNING: Sequences tr_W2PLX0_W2PLX0_PHYPN_761204 and tr_A0A0W8D6E7_A0A0W8D6E7_PHYNI_4790 are exactly identical! WARNING: Sequences tr_W2PLX0_W2PLX0_PHYPN_761204 and tr_W2KAL9_W2KAL9_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A0D3GPA1_A0A0D3GPA1_9ORYZ_65489 and tr_A0A0D9YNK0_A0A0D9YNK0_9ORYZ_40148 are exactly identical! WARNING: Sequences tr_A0A0D2UGU6_A0A0D2UGU6_GOSRA_29730 and tr_A0A1U8JSM9_A0A1U8JSM9_GOSHI_3635 are exactly identical! WARNING: Sequences tr_A0A0M8ZN83_A0A0M8ZN83_9HYME_166423 and tr_A0A0L7QNJ2_A0A0L7QNJ2_9HYME_597456 are exactly identical! WARNING: Sequences tr_A0A0V0X475_A0A0V0X475_9BILA_92179 and tr_A0A0V1PLG4_A0A0V1PLG4_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V0X475_A0A0V0X475_9BILA_92179 and tr_A0A0V0U5S7_A0A0V0U5S7_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1MWS7_A0A0V1MWS7_9BILA_268474 and tr_A0A0V1H0N0_A0A0V1H0N0_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A1S4B743_A0A1S4B743_TOBAC_4097 and tr_A0A1U7VCE1_A0A1U7VCE1_NICSY_4096 are exactly identical! WARNING: Sequences tr_A0A1U8FLP8_A0A1U8FLP8_CAPAN_4072 and tr_A0A2G3D6Y8_A0A2G3D6Y8_CAPCH_80379 are exactly identical! WARNING: Sequences tr_A0A1U8GDX2_A0A1U8GDX2_CAPAN_4072 and tr_A0A2G3CMS2_A0A2G3CMS2_CAPCH_80379 are exactly identical! WARNING: Duplicate sequences found: 24 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.reduced.phy Alignment comprises 1 partitions and 293 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 293 / 293 Gaps: 15.42 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.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 362 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 293 / 23440 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -211216.771373] Initial branch length optimization [00:00:02 -169346.947070] Model parameter optimization (eps = 10.000000) [00:00:33 -168672.571146] AUTODETECT spr round 1 (radius: 5) [00:01:11 -121532.663946] AUTODETECT spr round 2 (radius: 10) [00:01:58 -88864.748973] AUTODETECT spr round 3 (radius: 15) [00:02:54 -74687.962673] AUTODETECT spr round 4 (radius: 20) [00:04:06 -72263.520343] AUTODETECT spr round 5 (radius: 25) [00:05:20 -72196.670424] SPR radius for FAST iterations: 25 (autodetect) [00:05:20 -72196.670424] Model parameter optimization (eps = 3.000000) [00:05:43 -72051.745891] FAST spr round 1 (radius: 25) [00:06:38 -67408.178189] FAST spr round 2 (radius: 25) [00:07:22 -67024.274000] FAST spr round 3 (radius: 25) [00:07:55 -67013.572633] FAST spr round 4 (radius: 25) [00:08:27 -66995.288429] FAST spr round 5 (radius: 25) [00:08:58 -66980.612730] FAST spr round 6 (radius: 25) [00:09:29 -66973.825454] FAST spr round 7 (radius: 25) [00:09:57 -66973.824655] Model parameter optimization (eps = 1.000000) [00:10:07 -66972.550525] SLOW spr round 1 (radius: 5) [00:11:02 -66957.615725] SLOW spr round 2 (radius: 5) [00:11:57 -66951.911354] SLOW spr round 3 (radius: 5) [00:12:49 -66951.336761] SLOW spr round 4 (radius: 5) [00:13:39 -66951.336497] SLOW spr round 5 (radius: 10) [00:14:32 -66951.182488] SLOW spr round 6 (radius: 5) [00:15:41 -66950.960991] SLOW spr round 7 (radius: 5) [00:16:38 -66950.960644] SLOW spr round 8 (radius: 10) [00:17:32 -66950.960615] SLOW spr round 9 (radius: 15) [00:18:50] [worker #1] ML tree search #2, logLikelihood: -66950.380342 [00:19:18 -66950.960600] SLOW spr round 10 (radius: 20) [00:19:46] [worker #4] ML tree search #5, logLikelihood: -66953.348603 [00:19:57] [worker #3] ML tree search #4, logLikelihood: -66953.276398 [00:21:33 -66950.960587] SLOW spr round 11 (radius: 25) [00:23:46 -66950.960575] Model parameter optimization (eps = 0.100000) [00:23:54] [worker #0] ML tree search #1, logLikelihood: -66950.312306 [00:23:54 -211228.746626] Initial branch length optimization [00:23:56 -169130.525346] Model parameter optimization (eps = 10.000000) [00:24:28 -168374.394365] AUTODETECT spr round 1 (radius: 5) [00:24:31] [worker #5] ML tree search #6, logLikelihood: -66964.041453 [00:25:07 -120364.796903] AUTODETECT spr round 2 (radius: 10) [00:25:52 -90638.401887] AUTODETECT spr round 3 (radius: 15) [00:26:49 -79365.762843] AUTODETECT spr round 4 (radius: 20) [00:27:53 -75895.077207] AUTODETECT spr round 5 (radius: 25) [00:29:08 -75636.523475] SPR radius for FAST iterations: 25 (autodetect) [00:29:08 -75636.523475] Model parameter optimization (eps = 3.000000) [00:29:22 -75511.054715] FAST spr round 1 (radius: 25) [00:30:20 -67311.544718] FAST spr round 2 (radius: 25) [00:31:03 -67016.047605] FAST spr round 3 (radius: 25) [00:31:21] [worker #2] ML tree search #3, logLikelihood: -66951.862661 [00:31:39 -66982.781105] FAST spr round 4 (radius: 25) [00:32:10 -66979.417930] FAST spr round 5 (radius: 25) [00:32:38 -66979.417169] Model parameter optimization (eps = 1.000000) [00:32:49 -66976.509187] SLOW spr round 1 (radius: 5) [00:33:43 -66963.191229] SLOW spr round 2 (radius: 5) [00:34:34 -66963.190862] SLOW spr round 3 (radius: 10) [00:35:27 -66963.190720] SLOW spr round 4 (radius: 15) [00:37:21 -66963.190618] SLOW spr round 5 (radius: 20) [00:38:58] [worker #4] ML tree search #11, logLikelihood: -66948.023277 [00:39:42 -66963.190540] SLOW spr round 6 (radius: 25) [00:40:52] [worker #1] ML tree search #8, logLikelihood: -66965.620279 [00:42:01 -66963.190477] Model parameter optimization (eps = 0.100000) [00:42:11] [worker #0] ML tree search #7, logLikelihood: -66962.767280 [00:42:11 -209686.297665] Initial branch length optimization [00:42:13 -168598.833071] Model parameter optimization (eps = 10.000000) [00:42:44] [worker #3] ML tree search #10, logLikelihood: -66957.930313 [00:42:47 -167941.828514] AUTODETECT spr round 1 (radius: 5) [00:43:26 -118886.770416] AUTODETECT spr round 2 (radius: 10) [00:44:15 -86498.063011] AUTODETECT spr round 3 (radius: 15) [00:45:19 -75933.037925] AUTODETECT spr round 4 (radius: 20) [00:45:27] [worker #5] ML tree search #12, logLikelihood: -66947.331680 [00:46:28 -72875.727240] AUTODETECT spr round 5 (radius: 25) [00:47:43 -72757.203923] SPR radius for FAST iterations: 25 (autodetect) [00:47:43 -72757.203923] Model parameter optimization (eps = 3.000000) [00:48:00 -72617.186673] FAST spr round 1 (radius: 25) [00:48:59 -67355.711336] FAST spr round 2 (radius: 25) [00:49:40 -67021.441048] FAST spr round 3 (radius: 25) [00:50:15 -66994.923468] FAST spr round 4 (radius: 25) [00:50:44 -66993.131762] FAST spr round 5 (radius: 25) [00:51:13 -66993.130863] Model parameter optimization (eps = 1.000000) [00:51:21 -66989.552028] SLOW spr round 1 (radius: 5) [00:52:16 -66964.984508] SLOW spr round 2 (radius: 5) [00:53:10 -66960.922971] SLOW spr round 3 (radius: 5) [00:54:01 -66960.877663] SLOW spr round 4 (radius: 10) [00:54:13] [worker #2] ML tree search #9, logLikelihood: -66961.566186 [00:54:52 -66960.719322] SLOW spr round 5 (radius: 5) [00:56:03 -66956.167035] SLOW spr round 6 (radius: 5) [00:57:01 -66956.165936] SLOW spr round 7 (radius: 10) [00:57:57 -66956.165889] SLOW spr round 8 (radius: 15) [00:59:41 -66956.165861] SLOW spr round 9 (radius: 20) [01:01:50] [worker #4] ML tree search #17, logLikelihood: -66956.679832 [01:01:56 -66956.165830] SLOW spr round 10 (radius: 25) [01:03:09] [worker #3] ML tree search #16, logLikelihood: -66959.344143 [01:04:14 -66956.165801] Model parameter optimization (eps = 0.100000) [01:04:22] [worker #0] ML tree search #13, logLikelihood: -66954.919854 [01:04:23 -211164.789748] Initial branch length optimization [01:04:24 -167702.488809] Model parameter optimization (eps = 10.000000) [01:04:57 -167058.092904] AUTODETECT spr round 1 (radius: 5) [01:05:35 -118837.848516] AUTODETECT spr round 2 (radius: 10) [01:06:21 -95277.641795] AUTODETECT spr round 3 (radius: 15) [01:06:28] [worker #1] ML tree search #14, logLikelihood: -66953.954782 [01:07:21 -79772.236089] AUTODETECT spr round 4 (radius: 20) [01:08:27 -77073.769986] AUTODETECT spr round 5 (radius: 25) [01:09:48 -76929.317356] SPR radius for FAST iterations: 25 (autodetect) [01:09:48 -76929.317356] Model parameter optimization (eps = 3.000000) [01:10:05 -76742.780347] FAST spr round 1 (radius: 25) [01:11:08 -67292.432055] FAST spr round 2 (radius: 25) [01:11:50] [worker #5] ML tree search #18, logLikelihood: -66949.825883 [01:11:53 -66988.797410] FAST spr round 3 (radius: 25) [01:12:32 -66969.738031] FAST spr round 4 (radius: 25) [01:13:02 -66967.146528] FAST spr round 5 (radius: 25) [01:13:31 -66966.786798] FAST spr round 6 (radius: 25) [01:13:59 -66966.786646] Model parameter optimization (eps = 1.000000) [01:14:09 -66962.272778] SLOW spr round 1 (radius: 5) [01:15:05 -66953.436486] SLOW spr round 2 (radius: 5) [01:15:26] [worker #2] ML tree search #15, logLikelihood: -66953.024452 [01:15:55 -66953.435051] SLOW spr round 3 (radius: 10) [01:16:46 -66953.434277] SLOW spr round 4 (radius: 15) [01:18:31 -66953.433610] SLOW spr round 5 (radius: 20) [01:20:45 -66953.433029] SLOW spr round 6 (radius: 25) [01:23:01 -66953.432521] Model parameter optimization (eps = 0.100000) [01:23:11] [worker #0] ML tree search #19, logLikelihood: -66953.127306 [01:30:01] [worker #1] ML tree search #20, logLikelihood: -66953.429047 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.135815,0.556840) (0.169618,0.507706) (0.403699,0.903439) (0.290867,1.628024) 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: -66947.331680 AIC score: 135348.663361 / AICc score: 1193860.663361 / BIC score: 138024.148848 Free parameters (model + branch lengths): 727 WARNING: Number of free parameters (K=727) is larger than alignment size (n=293). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 40 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.bestTreeCollapsed Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.bestTree All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.mlTrees Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.bestModel Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8IWB6/3_mltree/Q8IWB6.raxml.log Analysis started: 14-Jul-2021 05:17:09 / finished: 14-Jul-2021 06:47:10 Elapsed time: 5401.112 seconds