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 18:37:55 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/2_msa/Q86WD7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/3_mltree/Q86WD7 --seed 2 --threads 6 --tree rand{20} pars{20} Analysis options: run mode: ML tree search start tree(s): random (20) random seed: 2 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON fast spr radius: AUTO spr subtree cutoff: 1.000000 branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (6 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/2_msa/Q86WD7_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 418 sites WARNING: Sequences tr_A0A2J8IQB4_A0A2J8IQB4_PANTR_9598 and tr_A0A2R9C4A0_A0A2R9C4A0_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2J8QMI4_A0A2J8QMI4_PANTR_9598 and tr_A0A2R9BFZ1_A0A2R9BFZ1_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2J8QMM9_A0A2J8QMM9_PANTR_9598 and tr_A0A2R8ZZK5_A0A2R8ZZK5_PANPA_9597 are exactly identical! WARNING: Sequences sp_P05543_THBG_HUMAN_9606 and tr_A0A2R9BCB8_A0A2R9BCB8_PANPA_9597 are exactly identical! WARNING: Sequences tr_F6XIG8_F6XIG8_MACMU_9544 and tr_G7PHA8_G7PHA8_MACFA_9541 are exactly identical! WARNING: Sequences tr_F7HA35_F7HA35_MACMU_9544 and tr_A0A2K6AXI7_A0A2K6AXI7_MACNE_9545 are exactly identical! WARNING: Sequences tr_D2HUL0_D2HUL0_AILME_9646 and tr_A0A384CLT6_A0A384CLT6_URSMA_29073 are exactly identical! WARNING: Sequences tr_G7PBD9_G7PBD9_MACFA_9541 and tr_A0A2K6D4Q7_A0A2K6D4Q7_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A096MR94_A0A096MR94_PAPAN_9555 and tr_A0A2K5LNQ4_A0A2K5LNQ4_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A096MR94_A0A096MR94_PAPAN_9555 and tr_A0A2K5YEM3_A0A2K5YEM3_MANLE_9568 are exactly identical! WARNING: Sequences tr_A0A096NS83_A0A096NS83_PAPAN_9555 and tr_A0A2K5M608_A0A2K5M608_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1U7Q2J3_A0A1U7Q2J3_MESAU_10036 and sp_P97277_A1AT_MESAU_10036 are exactly identical! WARNING: Duplicate sequences found: 12 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/Q86WD7/3_mltree/Q86WD7.raxml.reduced.phy Alignment comprises 1 partitions and 418 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 418 / 418 Gaps: 6.79 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/3_mltree/Q86WD7.raxml.rba Parallelization scheme autoconfig: 3 worker(s) x 2 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 / 209 / 16720 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -789397.314940] Initial branch length optimization [00:00:06 -683369.622196] Model parameter optimization (eps = 10.000000) [00:01:18 -680529.107598] AUTODETECT spr round 1 (radius: 5) [00:04:35 -513770.194825] AUTODETECT spr round 2 (radius: 10) [00:08:13 -382416.824054] AUTODETECT spr round 3 (radius: 15) [00:12:18 -320392.259257] AUTODETECT spr round 4 (radius: 20) [00:17:49 -287572.833148] AUTODETECT spr round 5 (radius: 25) [00:26:42 -283881.611754] SPR radius for FAST iterations: 25 (autodetect) [00:26:42 -283881.611754] Model parameter optimization (eps = 3.000000) [00:27:13 -283731.612854] FAST spr round 1 (radius: 25) [00:31:05 -252522.935225] FAST spr round 2 (radius: 25) [00:34:04 -250957.231271] FAST spr round 3 (radius: 25) [00:36:35 -250837.932497] FAST spr round 4 (radius: 25) [00:38:55 -250818.976606] FAST spr round 5 (radius: 25) [00:41:06 -250818.641824] FAST spr round 6 (radius: 25) [00:43:15 -250818.641824] Model parameter optimization (eps = 1.000000) [00:43:44 -250811.254307] SLOW spr round 1 (radius: 5) [00:46:56 -250744.200009] SLOW spr round 2 (radius: 5) [00:49:54 -250742.248936] SLOW spr round 3 (radius: 5) [00:52:46 -250738.314673] SLOW spr round 4 (radius: 5) [00:55:37 -250737.607585] SLOW spr round 5 (radius: 5) [00:58:26 -250737.607585] SLOW spr round 6 (radius: 10) [01:01:20 -250737.607585] SLOW spr round 7 (radius: 15) [01:06:31 -250737.607585] SLOW spr round 8 (radius: 20) [01:15:02 -250737.607585] SLOW spr round 9 (radius: 25) [01:22:02] [worker #1] ML tree search #2, logLikelihood: -250726.912226 [01:27:52 -250737.607585] Model parameter optimization (eps = 0.100000) [01:28:09] [worker #0] ML tree search #1, logLikelihood: -250737.368601 [01:28:09 -793471.025742] Initial branch length optimization [01:28:14 -686156.786948] Model parameter optimization (eps = 10.000000) [01:29:39 -683263.935629] AUTODETECT spr round 1 (radius: 5) [01:32:59 -525833.017830] AUTODETECT spr round 2 (radius: 10) [01:36:47 -378443.079076] AUTODETECT spr round 3 (radius: 15) [01:40:27] [worker #2] ML tree search #3, logLikelihood: -250738.239775 [01:40:44 -309312.958372] AUTODETECT spr round 4 (radius: 20) [01:46:17 -290878.252959] AUTODETECT spr round 5 (radius: 25) [01:54:05 -285624.470478] SPR radius for FAST iterations: 25 (autodetect) [01:54:05 -285624.470478] Model parameter optimization (eps = 3.000000) [01:54:32 -285467.824684] FAST spr round 1 (radius: 25) [01:58:30 -252059.412920] FAST spr round 2 (radius: 25) [02:01:21 -250916.689768] FAST spr round 3 (radius: 25) [02:04:00 -250825.615755] FAST spr round 4 (radius: 25) [02:06:12 -250825.615666] Model parameter optimization (eps = 1.000000) [02:06:48 -250801.676277] SLOW spr round 1 (radius: 5) [02:10:14 -250738.014699] SLOW spr round 2 (radius: 5) [02:13:16 -250733.091452] SLOW spr round 3 (radius: 5) [02:16:08 -250733.091302] SLOW spr round 4 (radius: 10) [02:18:59 -250733.091301] SLOW spr round 5 (radius: 15) [02:24:09 -250733.091301] SLOW spr round 6 (radius: 20) [02:32:45 -250733.091301] SLOW spr round 7 (radius: 25) [02:45:36 -250733.091301] Model parameter optimization (eps = 0.100000) [02:45:48] [worker #0] ML tree search #4, logLikelihood: -250732.508645 [02:45:49 -794121.908082] Initial branch length optimization [02:45:53 -688421.720646] Model parameter optimization (eps = 10.000000) [02:47:04 -685612.264095] AUTODETECT spr round 1 (radius: 5) [02:50:24 -523891.867292] AUTODETECT spr round 2 (radius: 10) [02:54:07 -373052.657607] AUTODETECT spr round 3 (radius: 15) [02:57:58 -310048.045042] AUTODETECT spr round 4 (radius: 20) [03:03:10 -295619.436276] AUTODETECT spr round 5 (radius: 25) [03:04:04] [worker #1] ML tree search #5, logLikelihood: -250720.622828 [03:09:40 -289605.287766] SPR radius for FAST iterations: 25 (autodetect) [03:09:40 -289605.287766] Model parameter optimization (eps = 3.000000) [03:10:09 -289478.934153] FAST spr round 1 (radius: 25) [03:13:28] [worker #2] ML tree search #6, logLikelihood: -250734.552081 [03:14:01 -252222.359807] FAST spr round 2 (radius: 25) [03:16:58 -250917.363045] FAST spr round 3 (radius: 25) [03:19:32 -250875.471790] FAST spr round 4 (radius: 25) [03:21:55 -250864.427388] FAST spr round 5 (radius: 25) [03:24:09 -250853.289182] FAST spr round 6 (radius: 25) [03:26:20 -250849.606137] FAST spr round 7 (radius: 25) [03:28:29 -250849.606121] Model parameter optimization (eps = 1.000000) [03:28:50 -250837.497313] SLOW spr round 1 (radius: 5) [03:31:59 -250774.869177] SLOW spr round 2 (radius: 5) [03:35:04 -250750.294569] SLOW spr round 3 (radius: 5) [03:38:01 -250745.826818] SLOW spr round 4 (radius: 5) [03:40:52 -250744.440627] SLOW spr round 5 (radius: 5) [03:43:43 -250744.440627] SLOW spr round 6 (radius: 10) [03:46:38 -250743.956111] SLOW spr round 7 (radius: 5) [03:50:19 -250740.780015] SLOW spr round 8 (radius: 5) [03:53:31 -250740.779786] SLOW spr round 9 (radius: 10) [03:56:29 -250740.779785] SLOW spr round 10 (radius: 15) [04:01:32 -250740.779785] SLOW spr round 11 (radius: 20) [04:10:20 -250740.779785] SLOW spr round 12 (radius: 25) [04:23:17 -250740.779785] Model parameter optimization (eps = 0.100000) [04:23:37] [worker #0] ML tree search #7, logLikelihood: -250738.552164 [04:23:37 -797530.049263] Initial branch length optimization [04:23:42 -689232.540410] Model parameter optimization (eps = 10.000000) [04:24:58 -686247.415764] AUTODETECT spr round 1 (radius: 5) [04:28:19 -534815.092920] AUTODETECT spr round 2 (radius: 10) [04:32:02 -370303.660616] AUTODETECT spr round 3 (radius: 15) [04:36:10 -305770.628262] AUTODETECT spr round 4 (radius: 20) [04:40:56 -292128.059316] AUTODETECT spr round 5 (radius: 25) [04:47:31] [worker #2] ML tree search #9, logLikelihood: -250724.927359 [04:47:55] [worker #1] ML tree search #8, logLikelihood: -250732.406340 [04:47:58 -287778.839334] SPR radius for FAST iterations: 25 (autodetect) [04:47:58 -287778.839334] Model parameter optimization (eps = 3.000000) [04:48:23 -287679.076961] FAST spr round 1 (radius: 25) [04:52:17 -251725.447412] FAST spr round 2 (radius: 25) [04:55:10 -250915.908818] FAST spr round 3 (radius: 25) [04:57:47 -250808.849807] FAST spr round 4 (radius: 25) [05:00:04 -250797.864130] FAST spr round 5 (radius: 25) [05:02:15 -250796.337233] FAST spr round 6 (radius: 25) [05:04:23 -250796.337083] Model parameter optimization (eps = 1.000000) [05:04:43 -250789.927670] SLOW spr round 1 (radius: 5) [05:08:00 -250739.976558] SLOW spr round 2 (radius: 5) [05:11:03 -250731.574268] SLOW spr round 3 (radius: 5) [05:13:53 -250731.573787] SLOW spr round 4 (radius: 10) [05:16:48 -250731.381871] SLOW spr round 5 (radius: 5) [05:20:27 -250731.381870] SLOW spr round 6 (radius: 10) [05:23:40 -250730.377018] SLOW spr round 7 (radius: 5) [05:27:15 -250721.351761] SLOW spr round 8 (radius: 5) [05:30:24 -250721.351758] SLOW spr round 9 (radius: 10) [05:33:21 -250721.351758] SLOW spr round 10 (radius: 15) [05:38:31 -250721.351758] SLOW spr round 11 (radius: 20) [05:47:45 -250721.351758] SLOW spr round 12 (radius: 25) [06:01:07 -250721.351758] Model parameter optimization (eps = 0.100000) [06:01:24] [worker #0] ML tree search #10, logLikelihood: -250721.018512 [06:01:25 -793165.763431] Initial branch length optimization [06:01:30 -686545.509740] Model parameter optimization (eps = 10.000000) [06:02:23 -683678.276374] AUTODETECT spr round 1 (radius: 5) [06:05:42 -530179.459411] AUTODETECT spr round 2 (radius: 10) [06:09:28 -383427.473666] AUTODETECT spr round 3 (radius: 15) [06:13:33 -315254.366368] AUTODETECT spr round 4 (radius: 20) [06:18:30] [worker #1] ML tree search #11, logLikelihood: -250724.846298 [06:18:50 -293954.143381] AUTODETECT spr round 5 (radius: 25) [06:24:15] [worker #2] ML tree search #12, logLikelihood: -250745.148221 [06:25:53 -288260.210479] SPR radius for FAST iterations: 25 (autodetect) [06:25:53 -288260.210479] Model parameter optimization (eps = 3.000000) [06:26:31 -288093.602464] FAST spr round 1 (radius: 25) [06:30:37 -252273.434389] FAST spr round 2 (radius: 25) [06:33:37 -250992.348691] FAST spr round 3 (radius: 25) [06:36:17 -250857.122847] FAST spr round 4 (radius: 25) [06:38:39 -250836.694607] FAST spr round 5 (radius: 25) [06:40:53 -250831.768902] FAST spr round 6 (radius: 25) [06:43:05 -250827.372665] FAST spr round 7 (radius: 25) [06:45:15 -250827.372663] Model parameter optimization (eps = 1.000000) [06:45:50 -250802.374100] SLOW spr round 1 (radius: 5) [06:49:00 -250740.052326] SLOW spr round 2 (radius: 5) [06:52:00 -250735.472887] SLOW spr round 3 (radius: 5) [06:54:56 -250729.515802] SLOW spr round 4 (radius: 5) [06:57:48 -250729.515565] SLOW spr round 5 (radius: 10) [07:00:46 -250727.095991] SLOW spr round 6 (radius: 5) [07:04:28 -250727.062689] SLOW spr round 7 (radius: 10) [07:07:43 -250727.060966] SLOW spr round 8 (radius: 15) [07:12:39 -250727.060758] SLOW spr round 9 (radius: 20) [07:22:07 -250727.060732] SLOW spr round 10 (radius: 25) [07:35:21 -250727.060729] Model parameter optimization (eps = 0.100000) [07:35:36] [worker #0] ML tree search #13, logLikelihood: -250726.663899 [07:35:36 -789934.445457] Initial branch length optimization [07:35:41 -684800.642799] Model parameter optimization (eps = 10.000000) [07:36:38 -681852.501153] AUTODETECT spr round 1 (radius: 5) [07:39:54 -521773.186027] AUTODETECT spr round 2 (radius: 10) [07:42:20] [worker #1] ML tree search #14, logLikelihood: -250725.176089 [07:43:36 -377148.602094] AUTODETECT spr round 3 (radius: 15) [07:47:32 -315076.227919] AUTODETECT spr round 4 (radius: 20) [07:52:32 -289223.924145] AUTODETECT spr round 5 (radius: 25) [07:54:49] [worker #2] ML tree search #15, logLikelihood: -250744.471871 [07:58:37 -286793.636559] SPR radius for FAST iterations: 25 (autodetect) [07:58:37 -286793.636559] Model parameter optimization (eps = 3.000000) [07:59:00 -286653.463486] FAST spr round 1 (radius: 25) [08:02:55 -251832.473836] FAST spr round 2 (radius: 25) [08:05:44 -250901.875486] FAST spr round 3 (radius: 25) [08:08:14 -250829.794126] FAST spr round 4 (radius: 25) [08:10:29 -250822.617187] FAST spr round 5 (radius: 25) [08:12:40 -250812.481530] FAST spr round 6 (radius: 25) [08:14:48 -250811.376619] FAST spr round 7 (radius: 25) [08:16:56 -250811.376435] Model parameter optimization (eps = 1.000000) [08:17:16 -250803.054427] SLOW spr round 1 (radius: 5) [08:20:27 -250744.877649] SLOW spr round 2 (radius: 5) [08:23:26 -250736.798154] SLOW spr round 3 (radius: 5) [08:26:18 -250732.155913] SLOW spr round 4 (radius: 5) [08:29:08 -250732.155775] SLOW spr round 5 (radius: 10) [08:32:03 -250730.962923] SLOW spr round 6 (radius: 5) [08:35:44 -250729.486192] SLOW spr round 7 (radius: 5) [08:38:57 -250729.486145] SLOW spr round 8 (radius: 10) [08:41:56 -250729.486145] SLOW spr round 9 (radius: 15) [08:47:03 -250729.486145] SLOW spr round 10 (radius: 20) [08:56:00 -250729.486145] SLOW spr round 11 (radius: 25) [09:08:58 -250729.486145] Model parameter optimization (eps = 0.100000) [09:09:22] [worker #0] ML tree search #16, logLikelihood: -250728.766012 [09:09:22 -796703.140186] Initial branch length optimization [09:09:27 -689467.932827] Model parameter optimization (eps = 10.000000) [09:10:11] [worker #1] ML tree search #17, logLikelihood: -250736.534333 [09:10:18 -686497.065776] AUTODETECT spr round 1 (radius: 5) [09:13:43 -529790.344876] AUTODETECT spr round 2 (radius: 10) [09:17:30 -370511.999452] AUTODETECT spr round 3 (radius: 15) [09:21:26 -305960.885691] AUTODETECT spr round 4 (radius: 20) [09:26:27] [worker #2] ML tree search #18, logLikelihood: -250731.275741 [09:26:51 -289980.312192] AUTODETECT spr round 5 (radius: 25) [09:33:35 -286124.666470] SPR radius for FAST iterations: 25 (autodetect) [09:33:35 -286124.666470] Model parameter optimization (eps = 3.000000) [09:34:00 -285983.100291] FAST spr round 1 (radius: 25) [09:38:10 -251908.663375] FAST spr round 2 (radius: 25) [09:41:16 -250857.492595] FAST spr round 3 (radius: 25) [09:43:58 -250803.126891] FAST spr round 4 (radius: 25) [09:46:19 -250803.125844] Model parameter optimization (eps = 1.000000) [09:46:51 -250793.848766] SLOW spr round 1 (radius: 5) [09:50:19 -250740.756228] SLOW spr round 2 (radius: 5) [09:53:29 -250735.165851] SLOW spr round 3 (radius: 5) [09:56:30 -250735.165348] SLOW spr round 4 (radius: 10) [09:59:32 -250735.165324] SLOW spr round 5 (radius: 15) [10:05:02 -250735.165323] SLOW spr round 6 (radius: 20) [10:14:19 -250735.165323] SLOW spr round 7 (radius: 25) [10:28:03 -250735.165323] Model parameter optimization (eps = 0.100000) [10:28:21] [worker #0] ML tree search #19, logLikelihood: -250734.574016 [10:48:41] [worker #1] ML tree search #20, logLikelihood: -250728.784665 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.120205,0.438985) (0.204298,0.422807) (0.310681,0.911360) (0.364817,1.583567) 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: -250720.622828 AIC score: 505451.245656 / AICc score: 8549511.245656 / BIC score: 513542.385928 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=418). 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/Q86WD7/3_mltree/Q86WD7.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/3_mltree/Q86WD7.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/3_mltree/Q86WD7.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86WD7/3_mltree/Q86WD7.raxml.log Analysis started: 03-Jul-2021 18:37:55 / finished: 04-Jul-2021 05:26:36 Elapsed time: 38921.597 seconds Consumed energy: 3640.372 Wh (= 18 km in an electric car, or 91 km with an e-scooter!)