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 03-Jul-2021 13:32:09 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/2_msa/Q32P28_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28 --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/Q32P28/2_msa/Q32P28_trimmed_msa.fasta [00:00:00] Loaded alignment with 609 taxa and 244 sites WARNING: Sequences tr_M3YQX2_M3YQX2_MUSPF_9669 and tr_A0A2Y9IUF1_A0A2Y9IUF1_ENHLU_391180 are exactly identical! WARNING: Sequences tr_A0A2I2YNT8_A0A2I2YNT8_GORGO_9595 and tr_A0A2I3T088_A0A2I3T088_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I2YNT8_A0A2I2YNT8_GORGO_9595 and sp_O75718_CRTAP_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I2YNT8_A0A2I2YNT8_GORGO_9595 and tr_A0A2R9C5A1_A0A2R9C5A1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QNY6_H2QNY6_PANTR_9598 and tr_A0A2R9BXC4_A0A2R9BXC4_PANPA_9597 are exactly identical! WARNING: Sequences sp_Q8IVL6_P3H3_HUMAN_9606 and tr_A0A2R9BCV4_A0A2R9BCV4_PANPA_9597 are exactly identical! WARNING: Sequences tr_F6YYY3_F6YYY3_MACMU_9544 and tr_A0A2K6B7N1_A0A2K6B7N1_MACNE_9545 are exactly identical! WARNING: Sequences tr_F7DE29_F7DE29_MACMU_9544 and tr_A0A096NAQ8_A0A096NAQ8_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F7DE29_F7DE29_MACMU_9544 and tr_A0A2K5KMI0_A0A2K5KMI0_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7G1R1_F7G1R1_MACMU_9544 and tr_A0A0D9RCY5_A0A0D9RCY5_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7G1R1_F7G1R1_MACMU_9544 and tr_A0A2K5NB13_A0A2K5NB13_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7G1R1_F7G1R1_MACMU_9544 and tr_A0A2K6B9R6_A0A2K6B9R6_MACNE_9545 are exactly identical! WARNING: Sequences tr_F7H7U6_F7H7U6_MACMU_9544 and tr_G7PUS9_G7PUS9_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7H7U6_F7H7U6_MACMU_9544 and tr_A0A096P5P5_A0A096P5P5_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F7H7U6_F7H7U6_MACMU_9544 and tr_A0A0D9S2C8_A0A0D9S2C8_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7H7U6_F7H7U6_MACMU_9544 and tr_A0A2K5LTA8_A0A2K5LTA8_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7H7U6_F7H7U6_MACMU_9544 and tr_A0A2K6DMV6_A0A2K6DMV6_MACNE_9545 are exactly identical! WARNING: Sequences tr_G1L2X9_G1L2X9_AILME_9646 and tr_A0A384CCF9_A0A384CCF9_URSMA_29073 are exactly identical! WARNING: Sequences tr_W2QI74_W2QI74_PHYPN_761204 and tr_A0A0W8D7L3_A0A0W8D7L3_PHYNI_4790 are exactly identical! WARNING: Sequences tr_W2QI74_W2QI74_PHYPN_761204 and tr_W2H7B7_W2H7B7_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A096NTN9_A0A096NTN9_PAPAN_9555 and tr_A0A0D9S4X7_A0A0D9S4X7_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A096NTN9_A0A096NTN9_PAPAN_9555 and tr_A0A2K5P6L0_A0A2K5P6L0_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096NTN9_A0A096NTN9_PAPAN_9555 and tr_A0A2K6A6A1_A0A2K6A6A1_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2I3NFN4_A0A2I3NFN4_PAPAN_9555 and tr_A0A0D9S7K5_A0A0D9S7K5_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A2I3NFN4_A0A2I3NFN4_PAPAN_9555 and tr_A0A2K5L2Y4_A0A2K5L2Y4_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A2I3NFN4_A0A2I3NFN4_PAPAN_9555 and tr_A0A2K5YVP7_A0A2K5YVP7_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A1S3J2H4_A0A1S3J2H4_LINUN_7574 and tr_A0A1S3J2I1_A0A1S3J2I1_LINUN_7574 are exactly identical! WARNING: Sequences tr_A0A226MZQ0_A0A226MZQ0_CALSU_9009 and tr_A0A226PBE9_A0A226PBE9_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2Y9M331_A0A2Y9M331_DELLE_9749 and tr_A0A2Y9TBR2_A0A2Y9TBR2_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2Y9PNT0_A0A2Y9PNT0_DELLE_9749 and tr_A0A2Y9FKK6_A0A2Y9FKK6_PHYCD_9755 are exactly identical! WARNING: Sequences tr_A0A2Y9PNT0_A0A2Y9PNT0_DELLE_9749 and tr_A0A384AFD2_A0A384AFD2_BALAS_310752 are exactly identical! WARNING: Sequences tr_A0A383ZS10_A0A383ZS10_BALAS_310752 and tr_A0A383ZS28_A0A383ZS28_BALAS_310752 are exactly identical! WARNING: Duplicate sequences found: 32 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/Q32P28/3_mltree/Q32P28.raxml.reduced.phy Alignment comprises 1 partitions and 244 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 244 / 244 Gaps: 15.82 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28.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 609 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 244 / 19520 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 20 distinct starting trees [00:00:00 -244113.226813] Initial branch length optimization [00:00:04 -203196.445632] Model parameter optimization (eps = 10.000000) [00:00:40 -202358.254436] AUTODETECT spr round 1 (radius: 5) [00:02:05 -121042.713372] AUTODETECT spr round 2 (radius: 10) [00:03:43 -78083.469120] AUTODETECT spr round 3 (radius: 15) [00:05:34 -65957.698306] AUTODETECT spr round 4 (radius: 20) [00:07:47 -62299.382265] AUTODETECT spr round 5 (radius: 25) [00:10:22 -61073.787903] SPR radius for FAST iterations: 25 (autodetect) [00:10:22 -61073.787903] Model parameter optimization (eps = 3.000000) [00:10:39 -61039.694237] FAST spr round 1 (radius: 25) [00:12:18 -54852.663047] FAST spr round 2 (radius: 25) [00:13:40 -54563.380601] FAST spr round 3 (radius: 25) [00:14:50 -54543.861196] FAST spr round 4 (radius: 25) [00:15:51 -54539.963979] FAST spr round 5 (radius: 25) [00:16:51 -54539.961414] Model parameter optimization (eps = 1.000000) [00:17:14 -54535.276769] SLOW spr round 1 (radius: 5) [00:18:45 -54514.845697] SLOW spr round 2 (radius: 5) [00:20:14 -54511.864752] SLOW spr round 3 (radius: 5) [00:21:38 -54511.864392] SLOW spr round 4 (radius: 10) [00:23:03 -54511.864224] SLOW spr round 5 (radius: 15) [00:25:35 -54511.864102] SLOW spr round 6 (radius: 20) [00:29:13 -54511.864014] SLOW spr round 7 (radius: 25) [00:33:41 -54506.853668] SLOW spr round 8 (radius: 5) [00:34:49] [worker #1] ML tree search #2, logLikelihood: -54509.809840 [00:35:45 -54506.851629] SLOW spr round 9 (radius: 10) [00:37:35 -54506.851467] SLOW spr round 10 (radius: 15) [00:39:56 -54505.850683] SLOW spr round 11 (radius: 5) [00:41:55 -54505.850623] SLOW spr round 12 (radius: 10) [00:43:38 -54505.850589] SLOW spr round 13 (radius: 15) [00:46:02 -54505.850562] SLOW spr round 14 (radius: 20) [00:49:41 -54505.850541] SLOW spr round 15 (radius: 25) [00:54:10 -54505.850524] Model parameter optimization (eps = 0.100000) [00:54:20] [worker #0] ML tree search #1, logLikelihood: -54505.749668 [00:54:20 -242660.537862] Initial branch length optimization [00:54:22] [worker #4] ML tree search #5, logLikelihood: -54508.101513 [00:54:26 -203378.868022] Model parameter optimization (eps = 10.000000) [00:55:07 -202302.278142] AUTODETECT spr round 1 (radius: 5) [00:56:31 -119534.406161] AUTODETECT spr round 2 (radius: 10) [00:57:05] [worker #3] ML tree search #4, logLikelihood: -54502.437898 [00:58:00 -82016.995981] AUTODETECT spr round 3 (radius: 15) [00:58:56] [worker #2] ML tree search #3, logLikelihood: -54501.749858 [00:59:46 -66084.065127] AUTODETECT spr round 4 (radius: 20) [01:01:54 -61682.433497] AUTODETECT spr round 5 (radius: 25) [01:04:14 -61109.863878] SPR radius for FAST iterations: 25 (autodetect) [01:04:14 -61109.863878] Model parameter optimization (eps = 3.000000) [01:04:39 -61001.352116] FAST spr round 1 (radius: 25) [01:06:20 -54922.587799] FAST spr round 2 (radius: 25) [01:07:39 -54578.171280] FAST spr round 3 (radius: 25) [01:08:47 -54539.557466] FAST spr round 4 (radius: 25) [01:09:48 -54535.942944] FAST spr round 5 (radius: 25) [01:10:46 -54535.942247] Model parameter optimization (eps = 1.000000) [01:11:01 -54531.826093] SLOW spr round 1 (radius: 5) [01:12:31 -54510.936029] SLOW spr round 2 (radius: 5) [01:14:00 -54510.795478] SLOW spr round 3 (radius: 5) [01:15:25 -54510.795424] SLOW spr round 4 (radius: 10) [01:16:51 -54510.200201] SLOW spr round 5 (radius: 5) [01:18:45 -54510.107729] SLOW spr round 6 (radius: 10) [01:18:47] [worker #1] ML tree search #7, logLikelihood: -54497.777809 [01:20:21 -54509.944066] SLOW spr round 7 (radius: 5) [01:22:18 -54509.887354] SLOW spr round 8 (radius: 10) [01:23:51 -54509.887302] SLOW spr round 9 (radius: 15) [01:26:05 -54509.887292] SLOW spr round 10 (radius: 20) [01:29:44 -54503.033791] SLOW spr round 11 (radius: 5) [01:30:14] [worker #4] ML tree search #10, logLikelihood: -54503.496079 [01:31:46 -54502.985010] SLOW spr round 12 (radius: 10) [01:32:40] [worker #2] ML tree search #8, logLikelihood: -54509.481920 [01:33:32 -54502.983373] SLOW spr round 13 (radius: 15) [01:35:45 -54502.982269] SLOW spr round 14 (radius: 20) [01:39:23 -54502.981520] SLOW spr round 15 (radius: 25) [01:41:12] [worker #3] ML tree search #9, logLikelihood: -54510.850702 [01:43:47 -54502.981010] Model parameter optimization (eps = 0.100000) [01:43:57] [worker #0] ML tree search #6, logLikelihood: -54502.723583 [01:43:57 -242330.561022] Initial branch length optimization [01:44:02 -203351.002528] Model parameter optimization (eps = 10.000000) [01:44:43 -202149.833051] AUTODETECT spr round 1 (radius: 5) [01:46:08 -120253.217887] AUTODETECT spr round 2 (radius: 10) [01:47:41 -87542.102711] AUTODETECT spr round 3 (radius: 15) [01:49:32 -67433.986055] AUTODETECT spr round 4 (radius: 20) [01:52:01 -63427.192924] AUTODETECT spr round 5 (radius: 25) [01:54:41 -62743.782910] SPR radius for FAST iterations: 25 (autodetect) [01:54:41 -62743.782910] Model parameter optimization (eps = 3.000000) [01:55:12 -62445.746968] FAST spr round 1 (radius: 25) [01:56:58 -55084.782367] FAST spr round 2 (radius: 25) [01:58:20 -54574.750114] FAST spr round 3 (radius: 25) [01:59:30 -54538.062341] FAST spr round 4 (radius: 25) [02:00:34 -54531.206757] FAST spr round 5 (radius: 25) [02:01:39 -54523.346554] FAST spr round 6 (radius: 25) [02:02:40 -54521.346314] FAST spr round 7 (radius: 25) [02:03:38 -54521.346190] Model parameter optimization (eps = 1.000000) [02:03:52 -54516.544388] SLOW spr round 1 (radius: 5) [02:05:25 -54503.959853] SLOW spr round 2 (radius: 5) [02:06:52 -54503.085293] SLOW spr round 3 (radius: 5) [02:08:17 -54501.814952] SLOW spr round 4 (radius: 5) [02:09:42 -54501.814833] SLOW spr round 5 (radius: 10) [02:11:06 -54500.991025] SLOW spr round 6 (radius: 5) [02:13:02 -54498.760161] SLOW spr round 7 (radius: 5) [02:14:41 -54498.760073] SLOW spr round 8 (radius: 10) [02:16:09 -54498.759999] SLOW spr round 9 (radius: 15) [02:18:39 -54498.759927] SLOW spr round 10 (radius: 20) [02:18:42] [worker #1] ML tree search #12, logLikelihood: -54497.716182 [02:21:52] [worker #2] ML tree search #13, logLikelihood: -54511.375096 [02:22:20 -54498.759852] SLOW spr round 11 (radius: 25) [02:23:08] [worker #4] ML tree search #15, logLikelihood: -54500.576503 [02:26:43 -54498.759765] Model parameter optimization (eps = 0.100000) [02:26:48] [worker #0] ML tree search #11, logLikelihood: -54498.742953 [02:26:49 -243183.841042] Initial branch length optimization [02:26:53 -202825.976191] Model parameter optimization (eps = 10.000000) [02:27:38 -201813.777145] AUTODETECT spr round 1 (radius: 5) [02:29:01 -118919.053764] AUTODETECT spr round 2 (radius: 10) [02:30:34 -86086.889430] AUTODETECT spr round 3 (radius: 15) [02:32:34 -72128.332425] AUTODETECT spr round 4 (radius: 20) [02:34:45 -64805.726471] AUTODETECT spr round 5 (radius: 25) [02:36:51 -63377.081704] SPR radius for FAST iterations: 25 (autodetect) [02:36:51 -63377.081704] Model parameter optimization (eps = 3.000000) [02:37:19 -63323.770647] FAST spr round 1 (radius: 25) [02:39:02 -55494.855508] FAST spr round 2 (radius: 25) [02:40:21 -54620.301352] FAST spr round 3 (radius: 25) [02:41:30 -54534.780038] FAST spr round 4 (radius: 25) [02:42:30 -54533.671295] FAST spr round 5 (radius: 25) [02:43:29 -54533.670476] Model parameter optimization (eps = 1.000000) [02:43:44 -54527.501167] SLOW spr round 1 (radius: 5) [02:45:14 -54512.637758] SLOW spr round 2 (radius: 5) [02:46:42 -54512.114090] SLOW spr round 3 (radius: 5) [02:48:06 -54512.113163] SLOW spr round 4 (radius: 10) [02:49:31 -54509.885608] SLOW spr round 5 (radius: 5) [02:49:48] [worker #3] ML tree search #14, logLikelihood: -54507.516495 [02:51:28 -54509.781994] SLOW spr round 6 (radius: 5) [02:53:06 -54509.781031] SLOW spr round 7 (radius: 10) [02:54:34 -54508.750995] SLOW spr round 8 (radius: 5) [02:56:28 -54508.750806] SLOW spr round 9 (radius: 10) [02:58:02 -54508.520862] SLOW spr round 10 (radius: 5) [02:59:58 -54508.464821] SLOW spr round 11 (radius: 10) [03:01:32 -54508.464744] SLOW spr round 12 (radius: 15) [03:03:48 -54508.331574] SLOW spr round 13 (radius: 5) [03:04:01] [worker #4] ML tree search #20, logLikelihood: -54501.292219 [03:05:52 -54508.255307] SLOW spr round 14 (radius: 10) [03:07:34 -54508.254266] SLOW spr round 15 (radius: 15) [03:09:42 -54508.253543] SLOW spr round 16 (radius: 20) [03:12:40] [worker #1] ML tree search #17, logLikelihood: -54507.804142 [03:13:07 -54508.253041] SLOW spr round 17 (radius: 25) [03:17:22 -54502.507325] SLOW spr round 18 (radius: 5) [03:19:26 -54502.505412] SLOW spr round 19 (radius: 10) [03:21:14 -54502.504928] SLOW spr round 20 (radius: 15) [03:21:46] [worker #2] ML tree search #18, logLikelihood: -54494.758384 [03:23:24 -54502.504614] SLOW spr round 21 (radius: 20) [03:26:48 -54502.504398] SLOW spr round 22 (radius: 25) [03:31:02 -54502.504249] Model parameter optimization (eps = 0.100000) [03:31:07] [worker #0] ML tree search #16, logLikelihood: -54502.450759 [03:53:00] [worker #3] ML tree search #19, logLikelihood: -54509.258609 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.134885,0.398407) (0.082951,0.757460) (0.436801,0.679063) (0.345363,1.699121) 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: -54494.758384 AIC score: 111431.516768 / AICc score: 3095555.516768 / BIC score: 115701.559171 Free parameters (model + branch lengths): 1221 WARNING: Number of free parameters (K=1221) is larger than alignment size (n=244). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q32P28/3_mltree/Q32P28.raxml.log Analysis started: 03-Jul-2021 13:32:09 / finished: 03-Jul-2021 17:25:10 Elapsed time: 13980.913 seconds Consumed energy: 1282.168 Wh (= 6 km in an electric car, or 32 km with an e-scooter!)