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 14-Jul-2021 18:34:04 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/2_msa/Q8TET4_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/2_msa/Q8TET4_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 860 sites WARNING: Sequences tr_J3K8E7_J3K8E7_COCIM_246410 and tr_A0A0J6YA84_A0A0J6YA84_COCIT_404692 are exactly identical! WARNING: Sequences tr_B8P933_B8P933_POSPM_561896 and tr_A0A1X6MZ91_A0A1X6MZ91_9APHY_670580 are exactly identical! WARNING: Sequences tr_B8NQF1_B8NQF1_ASPFN_332952 and tr_Q2UA37_Q2UA37_ASPOR_510516 are exactly identical! WARNING: Sequences tr_B8NQF1_B8NQF1_ASPFN_332952 and tr_A0A1S9DRN0_A0A1S9DRN0_ASPOZ_5062 are exactly identical! WARNING: Sequences tr_A0A179UAY2_A0A179UAY2_BLAGS_559298 and tr_C5GHZ7_C5GHZ7_AJEDR_559297 are exactly identical! WARNING: Sequences tr_F9F4Y6_F9F4Y6_FUSOF_660025 and tr_N4U0N9_N4U0N9_FUSC1_1229664 are exactly identical! WARNING: Sequences tr_F9F4Y6_F9F4Y6_FUSOF_660025 and tr_A0A2H3HL69_A0A2H3HL69_FUSOX_327505 are exactly identical! WARNING: Sequences tr_A0A0E0GJ14_A0A0E0GJ14_ORYNI_4536 and tr_A0A0E0NRL4_A0A0E0NRL4_ORYRU_4529 are exactly identical! WARNING: Sequences tr_A0A0E0GJ14_A0A0E0GJ14_ORYNI_4536 and sp_B9F676_GLU2A_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_F9XH81_F9XH81_ZYMTI_336722 and tr_A0A1X7S245_A0A1X7S245_ZYMTR_1276538 are exactly identical! WARNING: Sequences tr_G2Y717_G2Y717_BOTF4_999810 and tr_M7TUF9_M7TUF9_BOTF1_1290391 are exactly identical! WARNING: Sequences tr_V2WRD1_V2WRD1_MONRO_1381753 and tr_A0A0W0FIK9_A0A0W0FIK9_9AGAR_221103 are exactly identical! WARNING: Sequences tr_W2RAP4_W2RAP4_PHYPN_761204 and tr_W2LH34_W2LH34_PHYPR_4792 are exactly identical! WARNING: Sequences tr_A0A0V1DH34_A0A0V1DH34_TRIBR_45882 and tr_A0A0V0VXN3_A0A0V0VXN3_9BILA_181606 are exactly identical! WARNING: Duplicate sequences found: 14 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/Q8TET4/3_mltree/Q8TET4.raxml.reduced.phy Alignment comprises 1 partitions and 860 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 860 / 860 Gaps: 3.71 % Invariant sites: 0.93 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.rba Parallelization scheme autoconfig: 3 worker(s) x 3 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 / 287 / 22960 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -1375077.671913] Initial branch length optimization [00:00:08 -1189730.945288] Model parameter optimization (eps = 10.000000) [00:00:57 -1184528.517119] AUTODETECT spr round 1 (radius: 5) [00:04:37 -893367.739900] AUTODETECT spr round 2 (radius: 10) [00:08:46 -671152.789284] AUTODETECT spr round 3 (radius: 15) [00:13:37 -579539.724520] AUTODETECT spr round 4 (radius: 20) [00:19:21 -532485.880939] AUTODETECT spr round 5 (radius: 25) [00:26:16 -527338.926724] SPR radius for FAST iterations: 25 (autodetect) [00:26:16 -527338.926724] Model parameter optimization (eps = 3.000000) [00:26:46 -527183.453593] FAST spr round 1 (radius: 25) [00:31:59 -472265.222937] FAST spr round 2 (radius: 25) [00:35:36 -470428.229515] FAST spr round 3 (radius: 25) [00:38:34 -470270.514960] FAST spr round 4 (radius: 25) [00:41:08 -470246.562293] FAST spr round 5 (radius: 25) [00:43:30 -470246.561903] Model parameter optimization (eps = 1.000000) [00:43:46 -470245.056777] SLOW spr round 1 (radius: 5) [00:47:44 -470135.726497] SLOW spr round 2 (radius: 5) [00:51:15 -470123.430473] SLOW spr round 3 (radius: 5) [00:54:34 -470121.982939] SLOW spr round 4 (radius: 5) [00:57:48 -470121.982926] SLOW spr round 5 (radius: 10) [01:01:09 -470121.982926] SLOW spr round 6 (radius: 15) [01:07:26 -470121.982926] SLOW spr round 7 (radius: 20) [01:17:35 -470121.982926] SLOW spr round 8 (radius: 25) [01:29:08] [worker #1] ML tree search #2, logLikelihood: -470127.832910 [01:32:04 -470121.982926] Model parameter optimization (eps = 0.100000) [01:32:12] [worker #0] ML tree search #1, logLikelihood: -470121.959748 [01:32:12 -1379301.341632] Initial branch length optimization [01:32:19 -1193598.417759] Model parameter optimization (eps = 10.000000) [01:33:07 -1188420.600347] AUTODETECT spr round 1 (radius: 5) [01:37:07 -886762.857543] AUTODETECT spr round 2 (radius: 10) [01:39:50] [worker #2] ML tree search #3, logLikelihood: -470138.495149 [01:41:33 -659641.705990] AUTODETECT spr round 3 (radius: 15) [01:46:31 -583405.511036] AUTODETECT spr round 4 (radius: 20) [01:52:03 -562043.560961] AUTODETECT spr round 5 (radius: 25) [01:58:13 -551341.711077] SPR radius for FAST iterations: 25 (autodetect) [01:58:13 -551341.711077] Model parameter optimization (eps = 3.000000) [01:58:40 -551147.337586] FAST spr round 1 (radius: 25) [02:04:17 -473237.170094] FAST spr round 2 (radius: 25) [02:07:58 -470468.293981] FAST spr round 3 (radius: 25) [02:11:05 -470341.241699] FAST spr round 4 (radius: 25) [02:13:39 -470336.701296] FAST spr round 5 (radius: 25) [02:16:05 -470336.700849] Model parameter optimization (eps = 1.000000) [02:16:28 -470331.325177] SLOW spr round 1 (radius: 5) [02:20:24 -470184.201694] SLOW spr round 2 (radius: 5) [02:24:11 -470155.469989] SLOW spr round 3 (radius: 5) [02:27:39 -470133.262992] SLOW spr round 4 (radius: 5) [02:30:54 -470133.262979] SLOW spr round 5 (radius: 10) [02:34:19 -470131.107347] SLOW spr round 6 (radius: 5) [02:38:35 -470128.229047] SLOW spr round 7 (radius: 5) [02:42:14 -470128.229013] SLOW spr round 8 (radius: 10) [02:45:45 -470128.229012] SLOW spr round 9 (radius: 15) [02:51:56 -470128.229012] SLOW spr round 10 (radius: 20) [03:02:03 -470128.229012] SLOW spr round 11 (radius: 25) [03:14:19] [worker #2] ML tree search #6, logLikelihood: -470136.780075 [03:15:49 -470128.229012] Model parameter optimization (eps = 0.100000) [03:15:59] [worker #0] ML tree search #4, logLikelihood: -470127.826441 [03:15:59 -1379998.156392] Initial branch length optimization [03:16:05 -1196054.852965] Model parameter optimization (eps = 10.000000) [03:17:01 -1190623.582919] AUTODETECT spr round 1 (radius: 5) [03:17:41] [worker #1] ML tree search #5, logLikelihood: -470138.789164 [03:20:40 -903625.578954] AUTODETECT spr round 2 (radius: 10) [03:24:52 -657871.126550] AUTODETECT spr round 3 (radius: 15) [03:29:32 -554270.027286] AUTODETECT spr round 4 (radius: 20) [03:34:22 -526030.200388] AUTODETECT spr round 5 (radius: 25) [03:40:35 -523036.783638] SPR radius for FAST iterations: 25 (autodetect) [03:40:35 -523036.783638] Model parameter optimization (eps = 3.000000) [03:40:59 -522927.233274] FAST spr round 1 (radius: 25) [03:45:54 -472386.679370] FAST spr round 2 (radius: 25) [03:49:33 -470679.696612] FAST spr round 3 (radius: 25) [03:52:33 -470375.868707] FAST spr round 4 (radius: 25) [03:55:08 -470351.101422] FAST spr round 5 (radius: 25) [03:57:32 -470348.973148] FAST spr round 6 (radius: 25) [03:59:54 -470343.156820] FAST spr round 7 (radius: 25) [04:02:12 -470343.156572] Model parameter optimization (eps = 1.000000) [04:02:29 -470341.338240] SLOW spr round 1 (radius: 5) [04:06:19 -470189.815730] SLOW spr round 2 (radius: 5) [04:09:50 -470169.920678] SLOW spr round 3 (radius: 5) [04:13:09 -470168.195245] SLOW spr round 4 (radius: 5) [04:16:25 -470166.973431] SLOW spr round 5 (radius: 5) [04:19:38 -470166.973411] SLOW spr round 6 (radius: 10) [04:23:00 -470166.973411] SLOW spr round 7 (radius: 15) [04:29:09 -470166.973411] SLOW spr round 8 (radius: 20) [04:38:46 -470166.973411] SLOW spr round 9 (radius: 25) [04:51:47 -470166.973411] Model parameter optimization (eps = 0.100000) [04:51:57] [worker #0] ML tree search #7, logLikelihood: -470166.868349 [04:51:58 -1384665.399316] Initial branch length optimization [04:52:04 -1197375.809302] Model parameter optimization (eps = 10.000000) [04:52:59 -1192111.198203] AUTODETECT spr round 1 (radius: 5) [04:56:40 -900818.693580] AUTODETECT spr round 2 (radius: 10) [04:58:40] [worker #2] ML tree search #9, logLikelihood: -470142.032098 [05:00:21] [worker #1] ML tree search #8, logLikelihood: -470139.454756 [05:00:54 -657973.644927] AUTODETECT spr round 3 (radius: 15) [05:05:38 -543175.702666] AUTODETECT spr round 4 (radius: 20) [05:11:23 -526480.159875] AUTODETECT spr round 5 (radius: 25) [05:18:23 -526049.984911] SPR radius for FAST iterations: 25 (autodetect) [05:18:23 -526049.984911] Model parameter optimization (eps = 3.000000) [05:18:47 -525864.679578] FAST spr round 1 (radius: 25) [05:24:10 -471817.731496] FAST spr round 2 (radius: 25) [05:27:54 -470369.561264] FAST spr round 3 (radius: 25) [05:31:01 -470273.255287] FAST spr round 4 (radius: 25) [05:33:35 -470265.278641] FAST spr round 5 (radius: 25) [05:36:02 -470261.539798] FAST spr round 6 (radius: 25) [05:38:26 -470261.539786] Model parameter optimization (eps = 1.000000) [05:38:40 -470259.247253] SLOW spr round 1 (radius: 5) [05:42:34 -470152.987257] SLOW spr round 2 (radius: 5) [05:46:09 -470144.230847] SLOW spr round 3 (radius: 5) [05:49:30 -470144.230833] SLOW spr round 4 (radius: 10) [05:52:54 -470144.230833] SLOW spr round 5 (radius: 15) [05:59:22 -470144.230833] SLOW spr round 6 (radius: 20) [06:09:43 -470144.230833] SLOW spr round 7 (radius: 25) [06:23:56 -470144.230833] Model parameter optimization (eps = 0.100000) [06:24:03] [worker #0] ML tree search #10, logLikelihood: -470144.138869 [06:24:03 -1369762.515210] Initial branch length optimization [06:24:11 -1184879.088506] Model parameter optimization (eps = 10.000000) [06:25:15 -1179807.599284] AUTODETECT spr round 1 (radius: 5) [06:29:08 -882143.775763] AUTODETECT spr round 2 (radius: 10) [06:33:33 -678748.761038] AUTODETECT spr round 3 (radius: 15) [06:36:29] [worker #1] ML tree search #11, logLikelihood: -470129.048314 [06:38:19 -595585.580389] AUTODETECT spr round 4 (radius: 20) [06:39:50] [worker #2] ML tree search #12, logLikelihood: -470126.211257 [06:44:11 -541913.903820] AUTODETECT spr round 5 (radius: 25) [06:50:44 -538608.130550] SPR radius for FAST iterations: 25 (autodetect) [06:50:44 -538608.130550] Model parameter optimization (eps = 3.000000) [06:51:11 -538428.590194] FAST spr round 1 (radius: 25) [06:56:22 -472789.315965] FAST spr round 2 (radius: 25) [06:59:55 -470409.942799] FAST spr round 3 (radius: 25) [07:03:02 -470278.396343] FAST spr round 4 (radius: 25) [07:05:36 -470258.286621] FAST spr round 5 (radius: 25) [07:08:00 -470258.286462] Model parameter optimization (eps = 1.000000) [07:08:12 -470257.065017] SLOW spr round 1 (radius: 5) [07:12:02 -470170.304159] SLOW spr round 2 (radius: 5) [07:15:36 -470157.772068] SLOW spr round 3 (radius: 5) [07:19:00 -470153.525296] SLOW spr round 4 (radius: 5) [07:22:21 -470152.919029] SLOW spr round 5 (radius: 5) [07:25:37 -470152.919027] SLOW spr round 6 (radius: 10) [07:29:02 -470151.453286] SLOW spr round 7 (radius: 5) [07:33:28 -470141.384212] SLOW spr round 8 (radius: 5) [07:37:14 -470136.540341] SLOW spr round 9 (radius: 5) [07:40:40 -470136.540249] SLOW spr round 10 (radius: 10) [07:44:06 -470136.540249] SLOW spr round 11 (radius: 15) [07:50:27 -470136.540249] SLOW spr round 12 (radius: 20) [08:00:37 -470136.540249] SLOW spr round 13 (radius: 25) [08:06:57] [worker #1] ML tree search #14, logLikelihood: -470135.776195 [08:14:29 -470136.540249] Model parameter optimization (eps = 0.100000) [08:14:42] [worker #0] ML tree search #13, logLikelihood: -470136.428290 [08:14:42 -1374868.193791] Initial branch length optimization [08:14:50 -1188687.293976] Model parameter optimization (eps = 10.000000) [08:15:39 -1183497.955995] AUTODETECT spr round 1 (radius: 5) [08:19:22 -899515.860792] AUTODETECT spr round 2 (radius: 10) [08:23:45 -649238.519626] AUTODETECT spr round 3 (radius: 15) [08:24:39] [worker #2] ML tree search #15, logLikelihood: -470154.851230 [08:28:48 -546019.247959] AUTODETECT spr round 4 (radius: 20) [08:35:04 -521910.744515] AUTODETECT spr round 5 (radius: 25) [08:42:12 -520792.143291] SPR radius for FAST iterations: 25 (autodetect) [08:42:12 -520792.143291] Model parameter optimization (eps = 3.000000) [08:42:42 -520648.345058] FAST spr round 1 (radius: 25) [08:47:53 -471886.300889] FAST spr round 2 (radius: 25) [08:51:32 -470392.603135] FAST spr round 3 (radius: 25) [08:54:31 -470311.932922] FAST spr round 4 (radius: 25) [08:57:05 -470298.232965] FAST spr round 5 (radius: 25) [08:59:30 -470298.232956] Model parameter optimization (eps = 1.000000) [08:59:49 -470295.191641] SLOW spr round 1 (radius: 5) [09:03:46 -470150.493369] SLOW spr round 2 (radius: 5) [09:07:17 -470144.177648] SLOW spr round 3 (radius: 5) [09:10:40 -470142.407991] SLOW spr round 4 (radius: 5) [09:13:58 -470142.407918] SLOW spr round 5 (radius: 10) [09:17:24 -470142.407918] SLOW spr round 6 (radius: 15) [09:23:45 -470142.407918] SLOW spr round 7 (radius: 20) [09:33:47 -470142.407918] SLOW spr round 8 (radius: 25) [09:37:49] [worker #1] ML tree search #17, logLikelihood: -470130.207411 [09:47:52 -470142.407918] Model parameter optimization (eps = 0.100000) [09:47:58] [worker #0] ML tree search #16, logLikelihood: -470142.363869 [09:47:58 -1370234.367834] Initial branch length optimization [09:48:04 -1191487.994006] Model parameter optimization (eps = 10.000000) [09:49:06 -1186391.157865] AUTODETECT spr round 1 (radius: 5) [09:52:50 -885806.289653] AUTODETECT spr round 2 (radius: 10) [09:57:04 -652231.004390] AUTODETECT spr round 3 (radius: 15) [10:01:01] [worker #2] ML tree search #18, logLikelihood: -470141.049544 [10:01:40 -534384.668248] AUTODETECT spr round 4 (radius: 20) [10:06:48 -524362.320889] AUTODETECT spr round 5 (radius: 25) [10:13:02 -521811.829206] SPR radius for FAST iterations: 25 (autodetect) [10:13:02 -521811.829206] Model parameter optimization (eps = 3.000000) [10:13:30 -521770.486273] FAST spr round 1 (radius: 25) [10:18:24 -471840.949858] FAST spr round 2 (radius: 25) [10:21:58 -470389.437387] FAST spr round 3 (radius: 25) [10:24:57 -470326.430752] FAST spr round 4 (radius: 25) [10:27:26 -470321.550090] FAST spr round 5 (radius: 25) [10:29:47 -470321.550069] Model parameter optimization (eps = 1.000000) [10:30:07 -470300.357738] SLOW spr round 1 (radius: 5) [10:34:02 -470160.059830] SLOW spr round 2 (radius: 5) [10:37:30 -470145.153045] SLOW spr round 3 (radius: 5) [10:40:50 -470142.214629] SLOW spr round 4 (radius: 5) [10:44:05 -470142.214613] SLOW spr round 5 (radius: 10) [10:47:29 -470142.214613] SLOW spr round 6 (radius: 15) [10:53:47 -470142.214613] SLOW spr round 7 (radius: 20) [11:03:35 -470142.214613] SLOW spr round 8 (radius: 25) [11:14:18] [worker #1] ML tree search #20, logLikelihood: -470130.247240 [11:17:05 -470142.214613] Model parameter optimization (eps = 0.100000) [11:17:19] [worker #0] ML tree search #19, logLikelihood: -470142.030972 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.162299,0.342635) (0.299823,0.538432) (0.267771,0.923767) (0.270107,1.982911) 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: -470121.959748 AIC score: 944253.919496 / AICc score: 8988313.919496 / BIC score: 953791.568936 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=860). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 21 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8TET4/3_mltree/Q8TET4.raxml.log Analysis started: 14-Jul-2021 18:34:04 / finished: 15-Jul-2021 05:51:24 Elapsed time: 40640.069 seconds Consumed energy: 3698.469 Wh (= 18 km in an electric car, or 92 km with an e-scooter!)