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 04-Jul-2021 06:28:52 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/2_msa/Q9H0W5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/3_mltree/Q9H0W5 --seed 2 --threads 4 --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 (4 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/2_msa/Q9H0W5_trimmed_msa.fasta [00:00:00] Loaded alignment with 249 taxa and 181 sites WARNING: Sequences tr_A0A2I2Y5S4_A0A2I2Y5S4_GORGO_9595 and tr_A0A2I3STV2_A0A2I3STV2_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I2Y5S4_A0A2I2Y5S4_GORGO_9595 and sp_A0A1B0GUJ8_PNM8C_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I2Y5S4_A0A2I2Y5S4_GORGO_9595 and tr_A0A2R8ZDZ4_A0A2R8ZDZ4_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3QFW4_G3QFW4_GORGO_9595 and tr_H2QGM9_H2QGM9_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QFW4_G3QFW4_GORGO_9595 and tr_A0A2R9ATU7_A0A2R9ATU7_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_H2NLR1_H2NLR1_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_H2Q8K5_H2Q8K5_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and sp_Q8ND90_PNMA1_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_F7CEG4_F7CEG4_MACMU_9544 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_G7PAT4_G7PAT4_MACFA_9541 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_A0A096MKX0_A0A096MKX0_PAPAN_9555 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_A0A0D9SDY2_A0A0D9SDY2_CHLSB_60711 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_A0A2K5KU88_A0A2K5KU88_CERAT_9531 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_A0A2K5XJN9_A0A2K5XJN9_MANLE_9568 are exactly identical! WARNING: Sequences tr_G3QTJ8_G3QTJ8_GORGO_9595 and tr_A0A2R8ZGL3_A0A2R8ZGL3_PANPA_9597 are exactly identical! WARNING: Sequences tr_G3RD70_G3RD70_GORGO_9595 and tr_G3S5S9_G3S5S9_GORGO_9595 are exactly identical! WARNING: Sequences tr_G3SKM9_G3SKM9_GORGO_9595 and tr_H2PX42_H2PX42_PONAB_9601 are exactly identical! WARNING: Sequences tr_G3SKM9_G3SKM9_GORGO_9595 and tr_A0A2I3S037_A0A2I3S037_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3SKM9_G3SKM9_GORGO_9595 and sp_Q9UL41_PNMA3_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3SKM9_G3SKM9_GORGO_9595 and tr_A0A2R9ATK7_A0A2R9ATK7_PANPA_9597 are exactly identical! WARNING: Sequences tr_F1PD91_F1PD91_CANLF_9615 and tr_I3N9H4_I3N9H4_ICTTR_43179 are exactly identical! WARNING: Sequences tr_F1PD91_F1PD91_CANLF_9615 and tr_M3WGJ2_M3WGJ2_FELCA_9685 are exactly identical! WARNING: Sequences tr_F1PD91_F1PD91_CANLF_9615 and tr_A0A2U3VVI0_A0A2U3VVI0_ODORO_9708 are exactly identical! WARNING: Sequences tr_F1PD91_F1PD91_CANLF_9615 and tr_A0A2U3XHT8_A0A2U3XHT8_LEPWE_9713 are exactly identical! WARNING: Sequences tr_F1PD91_F1PD91_CANLF_9615 and tr_A0A2Y9JN70_A0A2Y9JN70_ENHLU_391180 are exactly identical! WARNING: Sequences tr_H2QGM8_H2QGM8_PANTR_9598 and tr_A0A2R9CAH4_A0A2R9CAH4_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QZJ4_H2QZJ4_PANTR_9598 and sp_Q9UL42_PNMA2_HUMAN_9606 are exactly identical! WARNING: Sequences tr_H2QZJ4_H2QZJ4_PANTR_9598 and tr_A0A2R9AVS7_A0A2R9AVS7_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5QS80_A0A1D5QS80_MACMU_9544 and tr_A0A2I3MP21_A0A2I3MP21_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5QS80_A0A1D5QS80_MACMU_9544 and tr_A0A0D9S9E0_A0A0D9S9E0_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A1D5QS80_A0A1D5QS80_MACMU_9544 and tr_A0A2K6C7Z3_A0A2K6C7Z3_MACNE_9545 are exactly identical! WARNING: Sequences tr_H9FNX3_H9FNX3_MACMU_9544 and tr_G7PCY0_G7PCY0_MACFA_9541 are exactly identical! WARNING: Sequences tr_H9FNX3_H9FNX3_MACMU_9544 and tr_A0A0D9SB24_A0A0D9SB24_CHLSB_60711 are exactly identical! WARNING: Sequences tr_H9FNX3_H9FNX3_MACMU_9544 and tr_A0A2K5KX49_A0A2K5KX49_CERAT_9531 are exactly identical! WARNING: Sequences tr_G7PXY6_G7PXY6_MACFA_9541 and tr_A0A2K6CKF9_A0A2K6CKF9_MACNE_9545 are exactly identical! WARNING: Sequences tr_F1MJ41_F1MJ41_BOVIN_9913 and sp_Q2KIT6_PNMA2_BOVIN_9913 are exactly identical! WARNING: Sequences tr_A0A096N0Y8_A0A096N0Y8_PAPAN_9555 and tr_A0A2K5XH11_A0A2K5XH11_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2I3NHG8_A0A2I3NHG8_PAPAN_9555 and tr_A0A2K5KVF2_A0A2K5KVF2_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A0D9S299_A0A0D9S299_CHLSB_60711 and tr_A0A2K5ZF26_A0A2K5ZF26_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2K5LFS9_A0A2K5LFS9_CERAT_9531 and tr_A0A2K6CII0_A0A2K6CII0_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A2K5LFS9_A0A2K5LFS9_CERAT_9531 and tr_A0A2K5ZNC1_A0A2K5ZNC1_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2K5M6V6_A0A2K5M6V6_CERAT_9531 and tr_A0A2K5Y350_A0A2K5Y350_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A2U4BUP8_A0A2U4BUP8_TURTR_9739 and tr_A0A2Y9PZ17_A0A2Y9PZ17_DELLE_9749 are exactly identical! WARNING: Duplicate sequences found: 43 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/Q9H0W5/3_mltree/Q9H0W5.raxml.reduced.phy Alignment comprises 1 partitions and 181 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 181 / 181 Gaps: 6.73 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/3_mltree/Q9H0W5.raxml.rba Parallelization scheme autoconfig: 4 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 249 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 181 / 14480 [00:00:00] Data distribution: max. searches per worker: 5 Starting ML tree search with 20 distinct starting trees [00:00:00 -84963.147738] Initial branch length optimization [00:00:00 -67323.366617] Model parameter optimization (eps = 10.000000) [00:00:09 -67148.823490] AUTODETECT spr round 1 (radius: 5) [00:00:22 -35427.000247] AUTODETECT spr round 2 (radius: 10) [00:00:37 -25377.111978] AUTODETECT spr round 3 (radius: 15) [00:00:59 -20889.588641] AUTODETECT spr round 4 (radius: 20) [00:01:23 -20051.274095] AUTODETECT spr round 5 (radius: 25) [00:01:50 -20031.530979] SPR radius for FAST iterations: 25 (autodetect) [00:01:50 -20031.530979] Model parameter optimization (eps = 3.000000) [00:01:59 -19921.037407] FAST spr round 1 (radius: 25) [00:02:15 -17532.420589] FAST spr round 2 (radius: 25) [00:02:28 -17310.977485] FAST spr round 3 (radius: 25) [00:02:39 -17289.567292] FAST spr round 4 (radius: 25) [00:02:49 -17283.431220] FAST spr round 5 (radius: 25) [00:02:58 -17283.430352] Model parameter optimization (eps = 1.000000) [00:03:05 -17276.280026] SLOW spr round 1 (radius: 5) [00:03:23 -17270.106964] SLOW spr round 2 (radius: 5) [00:03:41 -17269.835034] SLOW spr round 3 (radius: 5) [00:03:59 -17269.834922] SLOW spr round 4 (radius: 10) [00:04:15 -17269.834909] SLOW spr round 5 (radius: 15) [00:04:46 -17269.834908] SLOW spr round 6 (radius: 20) [00:05:20 -17269.834908] SLOW spr round 7 (radius: 25) [00:05:49] [worker #2] ML tree search #3, logLikelihood: -17264.135841 [00:05:56 -17269.834908] Model parameter optimization (eps = 0.100000) [00:05:59] [worker #0] ML tree search #1, logLikelihood: -17269.740610 [00:05:59 -84768.713356] Initial branch length optimization [00:06:00 -67223.415812] Model parameter optimization (eps = 10.000000) [00:06:09 -67091.436106] AUTODETECT spr round 1 (radius: 5) [00:06:22 -34771.159850] AUTODETECT spr round 2 (radius: 10) [00:06:26] [worker #3] ML tree search #4, logLikelihood: -17275.214984 [00:06:37 -24995.662300] AUTODETECT spr round 3 (radius: 15) [00:06:47] [worker #1] ML tree search #2, logLikelihood: -17266.278873 [00:07:00 -19958.321085] AUTODETECT spr round 4 (radius: 20) [00:07:20 -19525.823802] AUTODETECT spr round 5 (radius: 25) [00:07:42 -19520.888581] SPR radius for FAST iterations: 25 (autodetect) [00:07:42 -19520.888581] Model parameter optimization (eps = 3.000000) [00:07:51 -19406.423964] FAST spr round 1 (radius: 25) [00:08:04 -17408.175900] FAST spr round 2 (radius: 25) [00:08:17 -17299.600284] FAST spr round 3 (radius: 25) [00:08:27 -17290.763887] FAST spr round 4 (radius: 25) [00:08:36 -17288.324701] FAST spr round 5 (radius: 25) [00:08:45 -17288.324684] Model parameter optimization (eps = 1.000000) [00:08:51 -17286.494451] SLOW spr round 1 (radius: 5) [00:09:09 -17276.848005] SLOW spr round 2 (radius: 5) [00:09:28 -17275.983390] SLOW spr round 3 (radius: 5) [00:09:45 -17275.983052] SLOW spr round 4 (radius: 10) [00:10:02 -17273.383682] SLOW spr round 5 (radius: 5) [00:10:26 -17273.383629] SLOW spr round 6 (radius: 10) [00:10:46 -17273.383575] SLOW spr round 7 (radius: 15) [00:11:15 -17273.383575] SLOW spr round 8 (radius: 20) [00:11:49 -17273.383575] SLOW spr round 9 (radius: 25) [00:12:01] [worker #2] ML tree search #7, logLikelihood: -17263.208537 [00:12:25 -17273.383575] Model parameter optimization (eps = 0.100000) [00:12:27] [worker #1] ML tree search #6, logLikelihood: -17269.153593 [00:12:32] [worker #0] ML tree search #5, logLikelihood: -17270.227405 [00:12:32 -85022.551859] Initial branch length optimization [00:12:33 -67283.215679] Model parameter optimization (eps = 10.000000) [00:12:41 -67182.227995] AUTODETECT spr round 1 (radius: 5) [00:12:53] [worker #3] ML tree search #8, logLikelihood: -17266.056812 [00:12:53 -38134.444427] AUTODETECT spr round 2 (radius: 10) [00:13:10 -24823.789770] AUTODETECT spr round 3 (radius: 15) [00:13:30 -20652.687497] AUTODETECT spr round 4 (radius: 20) [00:13:53 -19423.057466] AUTODETECT spr round 5 (radius: 25) [00:14:18 -19390.991399] SPR radius for FAST iterations: 25 (autodetect) [00:14:18 -19390.991399] Model parameter optimization (eps = 3.000000) [00:14:28 -19264.540854] FAST spr round 1 (radius: 25) [00:14:44 -17412.726439] FAST spr round 2 (radius: 25) [00:14:56 -17300.451878] FAST spr round 3 (radius: 25) [00:15:07 -17286.875228] FAST spr round 4 (radius: 25) [00:15:16 -17284.663505] FAST spr round 5 (radius: 25) [00:15:25 -17284.663423] Model parameter optimization (eps = 1.000000) [00:15:31 -17281.438843] SLOW spr round 1 (radius: 5) [00:15:50 -17277.566825] SLOW spr round 2 (radius: 5) [00:16:07 -17277.365246] SLOW spr round 3 (radius: 5) [00:16:24 -17277.365229] SLOW spr round 4 (radius: 10) [00:16:42 -17275.358771] SLOW spr round 5 (radius: 5) [00:17:06 -17275.280091] SLOW spr round 6 (radius: 10) [00:17:27 -17274.732489] SLOW spr round 7 (radius: 5) [00:17:51 -17271.422214] SLOW spr round 8 (radius: 5) [00:18:10] [worker #1] ML tree search #10, logLikelihood: -17264.186937 [00:18:11 -17271.421150] SLOW spr round 9 (radius: 10) [00:18:28 -17268.784209] SLOW spr round 10 (radius: 5) [00:18:34] [worker #3] ML tree search #12, logLikelihood: -17266.466412 [00:18:52 -17268.783955] SLOW spr round 11 (radius: 10) [00:19:13 -17265.341174] SLOW spr round 12 (radius: 5) [00:19:37 -17264.998441] SLOW spr round 13 (radius: 5) [00:19:56 -17264.998367] SLOW spr round 14 (radius: 10) [00:19:58] [worker #2] ML tree search #11, logLikelihood: -17263.779091 [00:20:13 -17264.998366] SLOW spr round 15 (radius: 15) [00:20:45 -17264.998366] SLOW spr round 16 (radius: 20) [00:21:21 -17264.998366] SLOW spr round 17 (radius: 25) [00:21:58 -17264.998366] Model parameter optimization (eps = 0.100000) [00:22:05] [worker #0] ML tree search #9, logLikelihood: -17259.972207 [00:22:05 -85871.123896] Initial branch length optimization [00:22:06 -67767.647546] Model parameter optimization (eps = 10.000000) [00:22:16 -67650.183288] AUTODETECT spr round 1 (radius: 5) [00:22:29 -32836.792531] AUTODETECT spr round 2 (radius: 10) [00:22:43 -23462.026660] AUTODETECT spr round 3 (radius: 15) [00:23:04 -19795.953119] AUTODETECT spr round 4 (radius: 20) [00:23:27 -19332.528093] AUTODETECT spr round 5 (radius: 25) [00:23:32] [worker #1] ML tree search #14, logLikelihood: -17267.389257 [00:23:53 -19327.574829] SPR radius for FAST iterations: 25 (autodetect) [00:23:53 -19327.574829] Model parameter optimization (eps = 3.000000) [00:24:03 -19212.491531] FAST spr round 1 (radius: 25) [00:24:07] [worker #3] ML tree search #16, logLikelihood: -17271.869995 [00:24:17 -17359.552577] FAST spr round 2 (radius: 25) [00:24:28 -17292.068553] FAST spr round 3 (radius: 25) [00:24:39 -17284.521978] FAST spr round 4 (radius: 25) [00:24:48 -17284.521679] Model parameter optimization (eps = 1.000000) [00:24:55 -17282.118085] SLOW spr round 1 (radius: 5) [00:25:13 -17276.487572] SLOW spr round 2 (radius: 5) [00:25:32 -17275.232711] SLOW spr round 3 (radius: 5) [00:25:50 -17269.650959] SLOW spr round 4 (radius: 5) [00:26:07 -17269.425974] SLOW spr round 5 (radius: 5) [00:26:24 -17269.424856] SLOW spr round 6 (radius: 10) [00:26:40 -17269.424831] SLOW spr round 7 (radius: 15) [00:27:09 -17269.424831] SLOW spr round 8 (radius: 20) [00:27:42 -17269.424831] SLOW spr round 9 (radius: 25) [00:28:19 -17269.424831] Model parameter optimization (eps = 0.100000) [00:28:24] [worker #0] ML tree search #13, logLikelihood: -17267.999094 [00:28:24 -83421.991944] Initial branch length optimization [00:28:25 -66616.064281] Model parameter optimization (eps = 10.000000) [00:28:34 -66494.624378] AUTODETECT spr round 1 (radius: 5) [00:28:47 -35971.458046] AUTODETECT spr round 2 (radius: 10) [00:29:03 -23368.236288] AUTODETECT spr round 3 (radius: 15) [00:29:21] [worker #2] ML tree search #15, logLikelihood: -17264.315770 [00:29:22 -21187.221954] AUTODETECT spr round 4 (radius: 20) [00:29:40] [worker #3] ML tree search #20, logLikelihood: -17266.693582 [00:29:46 -19351.874568] AUTODETECT spr round 5 (radius: 25) [00:30:05 -19312.007766] SPR radius for FAST iterations: 25 (autodetect) [00:30:05 -19312.007766] Model parameter optimization (eps = 3.000000) [00:30:16 -19185.947500] FAST spr round 1 (radius: 25) [00:30:29 -17468.439439] FAST spr round 2 (radius: 25) [00:30:33] [worker #1] ML tree search #18, logLikelihood: -17263.451204 [00:30:41 -17301.865368] FAST spr round 3 (radius: 25) [00:30:51 -17294.795562] FAST spr round 4 (radius: 25) [00:31:01 -17290.649111] FAST spr round 5 (radius: 25) [00:31:09 -17290.648982] Model parameter optimization (eps = 1.000000) [00:31:15 -17286.490239] SLOW spr round 1 (radius: 5) [00:31:33 -17278.574829] SLOW spr round 2 (radius: 5) [00:31:51 -17273.644421] SLOW spr round 3 (radius: 5) [00:32:09 -17273.642896] SLOW spr round 4 (radius: 10) [00:32:25 -17273.642791] SLOW spr round 5 (radius: 15) [00:32:54 -17273.642781] SLOW spr round 6 (radius: 20) [00:33:29 -17273.642780] SLOW spr round 7 (radius: 25) [00:34:04 -17273.642780] Model parameter optimization (eps = 0.100000) [00:34:09] [worker #0] ML tree search #17, logLikelihood: -17273.332940 [00:36:42] [worker #2] ML tree search #19, logLikelihood: -17268.109171 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.112748,1.111446) (0.094214,1.105860) (0.450772,0.673161) (0.342265,1.364604) 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: -17259.972207 AIC score: 35521.944413 / AICc score: 538525.944413 / BIC score: 37124.391426 Free parameters (model + branch lengths): 501 WARNING: Number of free parameters (K=501) is larger than alignment size (n=181). 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/Q9H0W5/3_mltree/Q9H0W5.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/3_mltree/Q9H0W5.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/3_mltree/Q9H0W5.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9H0W5/3_mltree/Q9H0W5.raxml.log Analysis started: 04-Jul-2021 06:28:52 / finished: 04-Jul-2021 07:05:34 Elapsed time: 2202.481 seconds Consumed energy: 200.135 Wh (= 1 km in an electric car, or 5 km with an e-scooter!)