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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM RAxML-NG was called at 03-Jun-2021 00:04:44 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/2_msa/Q99895_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895 --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/020621_run/phylogeny-snakemake/results/Q99895/2_msa/Q99895_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 259 sites WARNING: Sequences tr_H2PY34_H2PY34_PANTR_9598 and tr_A0A2R9AE93_A0A2R9AE93_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2Q5N7_H2Q5N7_PANTR_9598 and tr_A0A2R8ZVZ5_A0A2R8ZVZ5_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2Q5Y1_H2Q5Y1_PANTR_9598 and tr_A0A2R9BBI1_A0A2R9BBI1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QZW6_H2QZW6_PANTR_9598 and sp_P08861_CEL3B_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G7Q1F4_G7Q1F4_MACFA_9541 and tr_A0A2K5L8F7_A0A2K5L8F7_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7Q1F4_G7Q1F4_MACFA_9541 and tr_A0A2K6DRB7_A0A2K6DRB7_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A0V0RY19_A0A0V0RY19_9BILA_6336 and tr_A0A0V1CJK2_A0A0V1CJK2_TRIBR_45882 are exactly identical! WARNING: Sequences tr_A0A0V0RY19_A0A0V0RY19_9BILA_6336 and tr_A0A0V0UQN4_A0A0V0UQN4_9BILA_181606 are exactly identical! WARNING: Sequences tr_A0A0V0RY19_A0A0V0RY19_9BILA_6336 and tr_A0A0V1PC23_A0A0V1PC23_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V0RY19_A0A0V0RY19_9BILA_6336 and tr_A0A0V0U645_A0A0V0U645_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1D3J4_A0A0V1D3J4_TRIBR_45882 and tr_A0A0V1P7A6_A0A0V1P7A6_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1D3J4_A0A0V1D3J4_TRIBR_45882 and tr_A0A0V0U6L7_A0A0V0U6L7_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1DHH8_A0A0V1DHH8_TRIBR_45882 and tr_A0A0V0UH29_A0A0V0UH29_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V0WMH8_A0A0V0WMH8_9BILA_92179 and tr_A0A0V1LAA6_A0A0V1LAA6_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V0X6Z9_A0A0V0X6Z9_9BILA_92179 and tr_A0A0V1KX14_A0A0V1KX14_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A1S3NEI4_A0A1S3NEI4_SALSA_8030 and tr_A0A060Y8C4_A0A060Y8C4_ONCMY_8022 are exactly identical! WARNING: Sequences tr_A0A2K5LST5_A0A2K5LST5_CERAT_9531 and tr_A0A2K6D078_A0A2K6D078_MACNE_9545 are exactly identical! WARNING: Duplicate sequences found: 17 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.raxml.reduced.phy Alignment comprises 1 partitions and 259 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 259 / 259 Gaps: 6.50 % Invariant sites: 0.39 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.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 1001 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 259 / 20720 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -441961.722645] Initial branch length optimization [00:00:09 -378869.982183] Model parameter optimization (eps = 10.000000) [00:01:10 -377975.464896] AUTODETECT spr round 1 (radius: 5) [00:05:33 -294994.396255] AUTODETECT spr round 2 (radius: 10) [00:10:29 -230346.493340] AUTODETECT spr round 3 (radius: 15) [00:15:48 -196210.394191] AUTODETECT spr round 4 (radius: 20) [00:22:29 -180997.068173] AUTODETECT spr round 5 (radius: 25) [00:30:21 -178113.017426] SPR radius for FAST iterations: 25 (autodetect) [00:30:21 -178113.017426] Model parameter optimization (eps = 3.000000) [00:30:35 -178108.124694] FAST spr round 1 (radius: 25) [00:36:55 -159846.677527] FAST spr round 2 (radius: 25) [00:41:16 -158995.474596] FAST spr round 3 (radius: 25) [00:44:54 -158943.095470] FAST spr round 4 (radius: 25) [00:48:01 -158936.324355] FAST spr round 5 (radius: 25) [00:50:59 -158935.512243] FAST spr round 6 (radius: 25) [00:53:52 -158935.512094] Model parameter optimization (eps = 1.000000) [00:54:16 -158683.322880] SLOW spr round 1 (radius: 5) [00:58:33 -158641.920748] SLOW spr round 2 (radius: 5) [01:02:38 -158628.670348] SLOW spr round 3 (radius: 5) [01:06:28 -158627.959242] SLOW spr round 4 (radius: 5) [01:10:24 -158624.116024] SLOW spr round 5 (radius: 5) [01:14:12 -158623.403247] SLOW spr round 6 (radius: 5) [01:17:55 -158623.403118] SLOW spr round 7 (radius: 10) [01:21:51 -158620.652505] SLOW spr round 8 (radius: 5) [01:26:42 -158620.016911] SLOW spr round 9 (radius: 5) [01:30:55 -158620.016865] SLOW spr round 10 (radius: 10) [01:35:03 -158618.788023] SLOW spr round 11 (radius: 5) [01:39:53 -158612.715070] SLOW spr round 12 (radius: 5) [01:44:09 -158611.642284] SLOW spr round 13 (radius: 5) [01:48:04 -158611.641861] SLOW spr round 14 (radius: 10) [01:52:01 -158611.641843] SLOW spr round 15 (radius: 15) [01:53:34] [worker #4] ML tree search #5, logLikelihood: -158621.589000 [01:59:45 -158611.641840] SLOW spr round 16 (radius: 20) [02:10:51 -158611.641840] SLOW spr round 17 (radius: 25) [02:16:13] [worker #3] ML tree search #4, logLikelihood: -158608.934079 [02:24:05] [worker #2] ML tree search #3, logLikelihood: -158579.091301 [02:24:11] [worker #1] ML tree search #2, logLikelihood: -158577.991894 [02:25:30 -158611.641840] Model parameter optimization (eps = 0.100000) [02:25:43] [worker #0] ML tree search #1, logLikelihood: -158611.515159 [02:25:43 -445786.420603] Initial branch length optimization [02:25:51 -380541.819638] Model parameter optimization (eps = 10.000000) [02:27:22 -379613.913181] AUTODETECT spr round 1 (radius: 5) [02:31:48 -297016.081405] AUTODETECT spr round 2 (radius: 10) [02:36:46 -223105.024563] AUTODETECT spr round 3 (radius: 15) [02:42:17 -191466.732956] AUTODETECT spr round 4 (radius: 20) [02:48:48 -180479.480571] AUTODETECT spr round 5 (radius: 25) [02:56:58 -178157.383672] SPR radius for FAST iterations: 25 (autodetect) [02:56:58 -178157.383672] Model parameter optimization (eps = 3.000000) [02:57:31 -177878.379976] FAST spr round 1 (radius: 25) [03:04:12 -159509.017089] FAST spr round 2 (radius: 25) [03:08:31 -158814.914074] FAST spr round 3 (radius: 25) [03:12:14 -158729.625147] FAST spr round 4 (radius: 25) [03:15:36 -158690.258989] FAST spr round 5 (radius: 25) [03:18:40 -158680.678246] FAST spr round 6 (radius: 25) [03:21:34 -158680.678230] Model parameter optimization (eps = 1.000000) [03:21:59 -158674.599985] SLOW spr round 1 (radius: 5) [03:26:16 -158629.830898] SLOW spr round 2 (radius: 5) [03:30:21 -158614.990998] SLOW spr round 3 (radius: 5) [03:34:11 -158613.464714] SLOW spr round 4 (radius: 5) [03:37:57 -158613.464383] SLOW spr round 5 (radius: 10) [03:41:56 -158612.959263] SLOW spr round 6 (radius: 5) [03:46:47 -158612.958726] SLOW spr round 7 (radius: 10) [03:51:22 -158612.958671] SLOW spr round 8 (radius: 15) [03:58:47 -158612.958663] SLOW spr round 9 (radius: 20) [04:11:49 -158612.958662] SLOW spr round 10 (radius: 25) [04:14:03] [worker #4] ML tree search #10, logLikelihood: -158589.333108 [04:22:09] [worker #2] ML tree search #8, logLikelihood: -158596.913846 [04:27:23] [worker #3] ML tree search #9, logLikelihood: -158607.618433 [04:27:43 -158612.958661] Model parameter optimization (eps = 0.100000) [04:27:53] [worker #0] ML tree search #6, logLikelihood: -158612.864203 [04:27:53 -443576.569546] Initial branch length optimization [04:28:00 -380103.345211] Model parameter optimization (eps = 10.000000) [04:29:29 -379073.668961] AUTODETECT spr round 1 (radius: 5) [04:31:07] [worker #1] ML tree search #7, logLikelihood: -158567.896423 [04:33:52 -293906.755412] AUTODETECT spr round 2 (radius: 10) [04:38:46 -227490.717623] AUTODETECT spr round 3 (radius: 15) [04:44:14 -192454.538531] AUTODETECT spr round 4 (radius: 20) [04:50:47 -179986.760620] AUTODETECT spr round 5 (radius: 25) [04:58:16 -178544.393157] SPR radius for FAST iterations: 25 (autodetect) [04:58:16 -178544.393157] Model parameter optimization (eps = 3.000000) [04:58:50 -178314.878955] FAST spr round 1 (radius: 25) [05:05:15 -159591.956276] FAST spr round 2 (radius: 25) [05:09:34 -158767.632923] FAST spr round 3 (radius: 25) [05:13:12 -158703.604421] FAST spr round 4 (radius: 25) [05:16:22 -158696.107861] FAST spr round 5 (radius: 25) [05:19:28 -158692.482005] FAST spr round 6 (radius: 25) [05:22:25 -158689.879028] FAST spr round 7 (radius: 25) [05:25:16 -158689.878963] Model parameter optimization (eps = 1.000000) [05:25:43 -158685.742898] SLOW spr round 1 (radius: 5) [05:30:01 -158636.860863] SLOW spr round 2 (radius: 5) [05:34:00 -158629.638189] SLOW spr round 3 (radius: 5) [05:37:48 -158629.638155] SLOW spr round 4 (radius: 10) [05:41:49 -158628.339699] SLOW spr round 5 (radius: 5) [05:46:44 -158625.411716] SLOW spr round 6 (radius: 5) [05:51:02 -158624.844232] SLOW spr round 7 (radius: 5) [05:55:01 -158624.843804] SLOW spr round 8 (radius: 10) [05:59:03 -158623.580177] SLOW spr round 9 (radius: 5) [06:03:54 -158623.161036] SLOW spr round 10 (radius: 5) [06:08:10 -158623.161017] SLOW spr round 11 (radius: 10) [06:12:19 -158622.625264] SLOW spr round 12 (radius: 5) [06:17:13 -158618.055274] SLOW spr round 13 (radius: 5) [06:21:35 -158602.319555] SLOW spr round 14 (radius: 5) [06:25:34 -158601.206081] SLOW spr round 15 (radius: 5) [06:29:24 -158597.653531] SLOW spr round 16 (radius: 5) [06:33:09 -158597.353158] SLOW spr round 17 (radius: 5) [06:36:51 -158597.353129] SLOW spr round 18 (radius: 10) [06:40:50 -158590.658224] SLOW spr round 19 (radius: 5) [06:45:41 -158589.154756] SLOW spr round 20 (radius: 5) [06:49:55 -158589.154617] SLOW spr round 21 (radius: 10) [06:54:01 -158588.877705] SLOW spr round 22 (radius: 5) [06:58:09] [worker #2] ML tree search #13, logLikelihood: -158596.467893 [06:58:47 -158588.877690] SLOW spr round 23 (radius: 10) [07:00:09] [worker #3] ML tree search #14, logLikelihood: -158608.377662 [07:03:16 -158588.584406] SLOW spr round 24 (radius: 5) [07:07:59 -158588.584056] SLOW spr round 25 (radius: 10) [07:12:22 -158588.584054] SLOW spr round 26 (radius: 15) [07:19:23 -158588.584054] SLOW spr round 27 (radius: 20) [07:31:03 -158588.584054] SLOW spr round 28 (radius: 25) [07:35:24] [worker #4] ML tree search #15, logLikelihood: -158623.932285 [07:45:49 -158588.584054] Model parameter optimization (eps = 0.100000) [07:46:16] [worker #0] ML tree search #11, logLikelihood: -158588.295009 [07:46:16 -443271.933936] Initial branch length optimization [07:46:23 -380154.780744] Model parameter optimization (eps = 10.000000) [07:47:29 -379097.641939] AUTODETECT spr round 1 (radius: 5) [07:51:51 -298514.652582] AUTODETECT spr round 2 (radius: 10) [07:56:40 -223882.331494] AUTODETECT spr round 3 (radius: 15) [08:02:12 -184947.771351] AUTODETECT spr round 4 (radius: 20) [08:10:08 -176051.377999] AUTODETECT spr round 5 (radius: 25) [08:22:02 -175816.944326] SPR radius for FAST iterations: 25 (autodetect) [08:22:02 -175816.944326] Model parameter optimization (eps = 3.000000) [08:22:48 -175548.561043] FAST spr round 1 (radius: 25) [08:24:39] [worker #1] ML tree search #12, logLikelihood: -158583.678613 [08:29:33 -159208.647268] FAST spr round 2 (radius: 25) [08:33:49 -158781.939740] FAST spr round 3 (radius: 25) [08:37:26 -158693.375965] FAST spr round 4 (radius: 25) [08:40:34 -158676.798250] FAST spr round 5 (radius: 25) [08:43:30 -158672.616688] FAST spr round 6 (radius: 25) [08:46:01] [worker #2] ML tree search #18, logLikelihood: -158591.114461 [08:46:21 -158672.616616] Model parameter optimization (eps = 1.000000) [08:46:34 -158669.839792] SLOW spr round 1 (radius: 5) [08:50:57 -158628.700209] SLOW spr round 2 (radius: 5) [08:54:57 -158615.284224] SLOW spr round 3 (radius: 5) [08:58:42 -158615.239626] SLOW spr round 4 (radius: 10) [09:02:40 -158614.129813] SLOW spr round 5 (radius: 5) [09:07:29 -158614.129812] SLOW spr round 6 (radius: 10) [09:12:04 -158613.900713] SLOW spr round 7 (radius: 5) [09:12:15] [worker #3] ML tree search #19, logLikelihood: -158598.822157 [09:16:46 -158613.900711] SLOW spr round 8 (radius: 10) [09:21:13 -158613.900711] SLOW spr round 9 (radius: 15) [09:27:35] [worker #4] ML tree search #20, logLikelihood: -158612.975568 [09:28:42 -158613.900711] SLOW spr round 10 (radius: 20) [09:41:50 -158613.900711] SLOW spr round 11 (radius: 25) [09:57:16 -158613.900711] Model parameter optimization (eps = 0.100000) [09:57:25] [worker #0] ML tree search #16, logLikelihood: -158613.854381 [10:16:22] [worker #1] ML tree search #17, logLikelihood: -158875.314495 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.196446,0.340953) (0.208041,0.363129) (0.328250,1.086800) (0.267263,1.873560) 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: -158567.896423 AIC score: 321145.792847 / AICc score: 8365205.792847 / BIC score: 328277.233111 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=259). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/020621_run/phylogeny-snakemake/results/Q99895/3_mltree/Q99895.raxml.log Analysis started: 03-Jun-2021 00:04:44 / finished: 03-Jun-2021 10:21:06 Elapsed time: 36982.352 seconds Consumed energy: 1934.327 Wh (= 10 km in an electric car, or 48 km with an e-scooter!)