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 02-Jul-2021 01:39:53 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/2_msa/Q5JPF3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/3_mltree/Q5JPF3 --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/Q5JPF3/2_msa/Q5JPF3_trimmed_msa.fasta [00:00:00] Loaded alignment with 995 taxa and 383 sites WARNING: Sequences tr_A0A0J9YUH2_A0A0J9YUH2_MOUSE_10090 and tr_A0A0J9YUZ3_A0A0J9YUZ3_MOUSE_10090 are exactly identical! WARNING: Sequences tr_D3Z1P8_D3Z1P8_MOUSE_10090 and tr_E9Q637_E9Q637_MOUSE_10090 are exactly identical! WARNING: Sequences tr_Q9VAU5_Q9VAU5_DROME_7227 and tr_B4IH22_B4IH22_DROSE_7238 are exactly identical! WARNING: Sequences tr_G3S110_G3S110_GORGO_9595 and sp_Q8N8A2_ANR44_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3STW3_A0A2I3STW3_PANTR_9598 and tr_A0A2I3TFA4_A0A2I3TFA4_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3SVD9_A0A2I3SVD9_PANTR_9598 and sp_Q92527_ANKR7_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3SVD9_A0A2I3SVD9_PANTR_9598 and tr_A0A2R8ZJB4_A0A2R8ZJB4_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3TN78_A0A2I3TN78_PANTR_9598 and tr_A0A2R9AU58_A0A2R9AU58_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3TX65_A0A2I3TX65_PANTR_9598 and tr_A0A2R9B0Y1_A0A2R9B0Y1_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2Q1R5_H2Q1R5_PANTR_9598 and tr_A0A2R9CCJ6_A0A2R9CCJ6_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2QB11_H2QB11_PANTR_9598 and tr_A0A2R8ZAT3_A0A2R8ZAT3_PANPA_9597 are exactly identical! WARNING: Sequences sp_A0A0A6YYL3_POTEB_HUMAN_9606 and sp_H3BUK9_POTB2_HUMAN_9606 are exactly identical! WARNING: Sequences sp_Q5SQ80_A20A2_HUMAN_9606 and sp_Q5VUR7_A20A3_HUMAN_9606 are exactly identical! WARNING: Sequences tr_Q2UGY0_Q2UGY0_ASPOR_510516 and tr_A0A1S9DZ77_A0A1S9DZ77_ASPOZ_5062 are exactly identical! WARNING: Sequences tr_A0A0E0GU17_A0A0E0GU17_ORYNI_4536 and tr_I1PFP1_I1PFP1_ORYGL_4538 are exactly identical! WARNING: Sequences tr_A0A0E0GU17_A0A0E0GU17_ORYNI_4536 and tr_A0A0E0P1K0_A0A0E0P1K0_ORYRU_4529 are exactly identical! WARNING: Sequences tr_F7ERD4_F7ERD4_MACMU_9544 and tr_G7P245_G7P245_MACFA_9541 are exactly identical! WARNING: Sequences tr_B8AK75_B8AK75_ORYSI_39946 and tr_Q9AUW0_Q9AUW0_ORYSJ_39947 are exactly identical! WARNING: Sequences tr_A0A067H6A7_A0A067H6A7_CITSI_2711 and tr_V4VHF8_V4VHF8_9ROSI_85681 are exactly identical! WARNING: Sequences tr_A0A096MVX0_A0A096MVX0_PAPAN_9555 and tr_A0A2K5KKK9_A0A2K5KKK9_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A078I827_A0A078I827_BRANA_3708 and tr_A0A0D3E7P7_A0A0D3E7P7_BRAOL_109376 are exactly identical! WARNING: Sequences tr_A0A0D9RGJ7_A0A0D9RGJ7_CHLSB_60711 and tr_A0A2K6DYB2_A0A2K6DYB2_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A091UVR5_A0A091UVR5_NIPNI_128390 and tr_A0A087RCK2_A0A087RCK2_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A2K5M793_A0A2K5M793_CERAT_9531 and tr_A0A2K5YVV3_A0A2K5YVV3_MANLE_9568 are exactly identical! WARNING: Duplicate sequences found: 24 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/Q5JPF3/3_mltree/Q5JPF3.raxml.reduced.phy Alignment comprises 1 partitions and 383 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 383 / 383 Gaps: 31.66 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/3_mltree/Q5JPF3.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 995 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 192 / 15360 [00:00:00] Data distribution: max. searches per worker: 7 Starting ML tree search with 20 distinct starting trees [00:00:00 -570581.243477] Initial branch length optimization [00:00:05 -493080.327130] Model parameter optimization (eps = 10.000000) [00:00:46 -491343.460938] AUTODETECT spr round 1 (radius: 5) [00:03:21 -388602.402729] AUTODETECT spr round 2 (radius: 10) [00:06:15 -307471.424151] AUTODETECT spr round 3 (radius: 15) [00:09:16 -280139.615843] AUTODETECT spr round 4 (radius: 20) [00:12:34 -265780.393303] AUTODETECT spr round 5 (radius: 25) [00:16:34 -262691.277628] SPR radius for FAST iterations: 25 (autodetect) [00:16:34 -262691.277628] Model parameter optimization (eps = 3.000000) [00:16:47 -262685.459832] FAST spr round 1 (radius: 25) [00:21:37 -247772.427796] FAST spr round 2 (radius: 25) [00:25:16 -246621.572053] FAST spr round 3 (radius: 25) [00:28:19 -246487.549554] FAST spr round 4 (radius: 25) [00:31:03 -246426.808171] FAST spr round 5 (radius: 25) [00:33:36 -246396.755547] FAST spr round 6 (radius: 25) [00:35:56 -246390.211485] FAST spr round 7 (radius: 25) [00:38:04 -246389.967900] FAST spr round 8 (radius: 25) [00:40:09 -246389.954938] Model parameter optimization (eps = 1.000000) [00:40:16 -246389.718337] SLOW spr round 1 (radius: 5) [00:43:08 -246326.663228] SLOW spr round 2 (radius: 5) [00:45:54 -246310.729058] SLOW spr round 3 (radius: 5) [00:48:32 -246310.452062] SLOW spr round 4 (radius: 5) [00:51:08 -246310.451521] SLOW spr round 5 (radius: 10) [00:53:54 -246303.101024] SLOW spr round 6 (radius: 5) [00:57:03 -246300.344875] SLOW spr round 7 (radius: 5) [00:59:56 -246298.847859] SLOW spr round 8 (radius: 5) [01:02:38 -246298.846853] SLOW spr round 9 (radius: 10) [01:05:27 -246297.448938] SLOW spr round 10 (radius: 5) [01:08:34 -246296.421279] SLOW spr round 11 (radius: 5) [01:11:25 -246296.421161] SLOW spr round 12 (radius: 10) [01:14:19 -246293.406237] SLOW spr round 13 (radius: 5) [01:17:24 -246293.405735] SLOW spr round 14 (radius: 10) [01:20:33 -246292.765265] SLOW spr round 15 (radius: 5) [01:23:41 -246284.078395] SLOW spr round 16 (radius: 5) [01:26:22 -246284.078387] SLOW spr round 17 (radius: 10) [01:29:06 -246283.712439] SLOW spr round 18 (radius: 5) [01:32:06 -246281.455626] SLOW spr round 19 (radius: 5) [01:34:50 -246280.138699] SLOW spr round 20 (radius: 5) [01:37:25 -246280.138124] SLOW spr round 21 (radius: 10) [01:40:04 -246280.138104] SLOW spr round 22 (radius: 15) [01:44:44 -246273.678128] SLOW spr round 23 (radius: 5) [01:47:52 -246269.561709] SLOW spr round 24 (radius: 5) [01:50:38 -246269.561680] SLOW spr round 25 (radius: 10) [01:53:26 -246269.125745] SLOW spr round 26 (radius: 5) [01:56:23 -246269.125737] SLOW spr round 27 (radius: 10) [01:59:22 -246269.125737] SLOW spr round 28 (radius: 15) [02:03:44 -246268.989283] SLOW spr round 29 (radius: 5) [02:06:52 -246258.203593] SLOW spr round 30 (radius: 5) [02:09:42 -246254.009304] SLOW spr round 31 (radius: 5) [02:12:18 -246254.009198] SLOW spr round 32 (radius: 10) [02:14:58 -246254.009197] SLOW spr round 33 (radius: 15) [02:19:33 -246254.009197] SLOW spr round 34 (radius: 20) [02:25:44 -246254.009197] SLOW spr round 35 (radius: 25) [02:30:23] [worker #2] ML tree search #3, logLikelihood: -246219.227905 [02:33:11 -246254.009197] Model parameter optimization (eps = 0.100000) [02:33:16] [worker #0] ML tree search #1, logLikelihood: -246253.994221 [02:33:16 -574183.787326] Initial branch length optimization [02:33:22 -496915.617042] Model parameter optimization (eps = 10.000000) [02:34:19 -494793.351823] AUTODETECT spr round 1 (radius: 5) [02:36:45 -393376.998834] AUTODETECT spr round 2 (radius: 10) [02:39:24 -311563.368996] AUTODETECT spr round 3 (radius: 15) [02:42:19 -281709.568948] AUTODETECT spr round 4 (radius: 20) [02:45:37 -270661.623803] AUTODETECT spr round 5 (radius: 25) [02:49:20 -264115.073159] SPR radius for FAST iterations: 25 (autodetect) [02:49:20 -264115.073159] Model parameter optimization (eps = 3.000000) [02:49:29 -264105.952378] FAST spr round 1 (radius: 25) [02:54:24 -247996.111511] FAST spr round 2 (radius: 25) [02:58:00 -246708.834265] FAST spr round 3 (radius: 25) [03:00:51 -246484.914199] FAST spr round 4 (radius: 25) [03:03:19 -246470.873032] FAST spr round 5 (radius: 25) [03:05:34 -246466.870198] FAST spr round 6 (radius: 25) [03:06:27] [worker #1] ML tree search #2, logLikelihood: -245995.363691 [03:07:41 -246463.753036] FAST spr round 7 (radius: 25) [03:09:51 -246450.791992] FAST spr round 8 (radius: 25) [03:11:51 -246450.791658] Model parameter optimization (eps = 1.000000) [03:11:55 -246450.749537] SLOW spr round 1 (radius: 5) [03:14:41 -246394.290866] SLOW spr round 2 (radius: 5) [03:17:24 -246379.691323] SLOW spr round 3 (radius: 5) [03:19:56 -246378.726579] SLOW spr round 4 (radius: 5) [03:22:27 -246375.906407] SLOW spr round 5 (radius: 5) [03:24:57 -246375.025013] SLOW spr round 6 (radius: 5) [03:27:25 -246375.024711] SLOW spr round 7 (radius: 10) [03:30:09 -246364.227226] SLOW spr round 8 (radius: 5) [03:33:13 -246358.303759] SLOW spr round 9 (radius: 5) [03:35:58 -246357.340254] SLOW spr round 10 (radius: 5) [03:38:33 -246356.703224] SLOW spr round 11 (radius: 5) [03:41:04 -246356.703191] SLOW spr round 12 (radius: 10) [03:43:44 -246355.696311] SLOW spr round 13 (radius: 5) [03:46:45 -246344.447756] SLOW spr round 14 (radius: 5) [03:49:31 -246340.427078] SLOW spr round 15 (radius: 5) [03:52:06 -246340.306432] SLOW spr round 16 (radius: 5) [03:54:37 -246340.305507] SLOW spr round 17 (radius: 10) [03:57:15 -246340.010529] SLOW spr round 18 (radius: 5) [04:00:18 -246338.121732] SLOW spr round 19 (radius: 5) [04:03:01 -246333.061788] SLOW spr round 20 (radius: 5) [04:05:35 -246333.060650] SLOW spr round 21 (radius: 10) [04:08:16 -246332.962658] SLOW spr round 22 (radius: 15) [04:13:12 -246331.457794] SLOW spr round 23 (radius: 5) [04:16:18 -246330.382117] SLOW spr round 24 (radius: 5) [04:19:06 -246329.411292] SLOW spr round 25 (radius: 5) [04:21:43 -246329.410706] SLOW spr round 26 (radius: 10) [04:24:23 -246329.060279] SLOW spr round 27 (radius: 5) [04:27:20 -246328.183839] SLOW spr round 28 (radius: 5) [04:30:02 -246328.183624] SLOW spr round 29 (radius: 10) [04:32:48 -246328.155377] SLOW spr round 30 (radius: 15) [04:37:34 -246326.147299] SLOW spr round 31 (radius: 5) [04:40:40 -246322.926175] SLOW spr round 32 (radius: 5) [04:43:26 -246321.044840] SLOW spr round 33 (radius: 5) [04:46:02 -246321.044221] SLOW spr round 34 (radius: 10) [04:48:43 -246321.044045] SLOW spr round 35 (radius: 15) [04:53:34 -246320.408341] SLOW spr round 36 (radius: 5) [04:56:45 -246319.369842] SLOW spr round 37 (radius: 5) [04:59:58 -246319.368360] SLOW spr round 38 (radius: 10) [05:03:16 -246319.368019] SLOW spr round 39 (radius: 15) [05:08:43 -246319.367860] SLOW spr round 40 (radius: 20) [05:16:02 -246306.209405] SLOW spr round 41 (radius: 5) [05:19:39 -246304.486719] SLOW spr round 42 (radius: 5) [05:22:38 -246304.486659] SLOW spr round 43 (radius: 10) [05:25:30 -246304.486655] SLOW spr round 44 (radius: 15) [05:30:08 -246304.486652] SLOW spr round 45 (radius: 20) [05:36:24 -246304.486651] SLOW spr round 46 (radius: 25) [05:43:33 -246295.706053] SLOW spr round 47 (radius: 5) [05:46:42 -246295.705737] SLOW spr round 48 (radius: 10) [05:50:12 -246285.236601] SLOW spr round 49 (radius: 5) [05:53:07 -246284.799216] SLOW spr round 50 (radius: 5) [05:53:47] [worker #2] ML tree search #6, logLikelihood: -245911.043132 [05:55:47 -246284.798924] SLOW spr round 51 (radius: 10) [05:58:31 -246284.798918] SLOW spr round 52 (radius: 15) [06:03:17 -246284.798917] SLOW spr round 53 (radius: 20) [06:10:35 -246284.798917] SLOW spr round 54 (radius: 25) [06:18:58 -246284.798917] Model parameter optimization (eps = 0.100000) [06:19:05] [worker #0] ML tree search #4, logLikelihood: -246284.740503 [06:19:05 -572885.215098] Initial branch length optimization [06:19:11 -493023.820590] Model parameter optimization (eps = 10.000000) [06:20:18 -490958.806682] AUTODETECT spr round 1 (radius: 5) [06:23:11 -391601.972683] AUTODETECT spr round 2 (radius: 10) [06:26:23 -316143.781760] AUTODETECT spr round 3 (radius: 15) [06:29:59 -281360.628324] AUTODETECT spr round 4 (radius: 20) [06:34:06 -266727.798502] AUTODETECT spr round 5 (radius: 25) [06:37:15] [worker #1] ML tree search #5, logLikelihood: -246614.768790 [06:38:33 -263925.828714] SPR radius for FAST iterations: 25 (autodetect) [06:38:33 -263925.828714] Model parameter optimization (eps = 3.000000) [06:38:43 -263919.317710] FAST spr round 1 (radius: 25) [06:44:28 -248244.095931] FAST spr round 2 (radius: 25) [06:48:39 -247022.670936] FAST spr round 3 (radius: 25) [06:52:03 -246943.862472] FAST spr round 4 (radius: 25) [06:55:03 -246920.020084] FAST spr round 5 (radius: 25) [06:57:43 -246899.942240] FAST spr round 6 (radius: 25) [07:00:13 -246896.564669] FAST spr round 7 (radius: 25) [07:02:36 -246896.564521] Model parameter optimization (eps = 1.000000) [07:02:42 -246895.996146] SLOW spr round 1 (radius: 5) [07:05:59 -246814.729505] SLOW spr round 2 (radius: 5) [07:09:10 -246798.060574] SLOW spr round 3 (radius: 5) [07:12:14 -246792.230516] SLOW spr round 4 (radius: 5) [07:15:11 -246792.072266] SLOW spr round 5 (radius: 5) [07:18:06 -246792.072078] SLOW spr round 6 (radius: 10) [07:21:13 -246787.674495] SLOW spr round 7 (radius: 5) [07:24:47 -246778.846861] SLOW spr round 8 (radius: 5) [07:28:00 -246776.290381] SLOW spr round 9 (radius: 5) [07:31:06 -246773.732335] SLOW spr round 10 (radius: 5) [07:34:05 -246773.732270] SLOW spr round 11 (radius: 10) [07:37:10 -246773.342789] SLOW spr round 12 (radius: 5) [07:40:40 -246773.333739] SLOW spr round 13 (radius: 10) [07:44:14 -246773.291140] SLOW spr round 14 (radius: 15) [07:49:19 -246761.669461] SLOW spr round 15 (radius: 5) [07:53:01 -246756.938284] SLOW spr round 16 (radius: 5) [07:56:18 -246755.983272] SLOW spr round 17 (radius: 5) [07:59:23 -246755.983044] SLOW spr round 18 (radius: 10) [08:02:33 -246752.803107] SLOW spr round 19 (radius: 5) [08:06:06 -246743.210754] SLOW spr round 20 (radius: 5) [08:09:19 -246742.873521] SLOW spr round 21 (radius: 5) [08:12:21 -246742.873490] SLOW spr round 22 (radius: 10) [08:15:29 -246739.400858] SLOW spr round 23 (radius: 5) [08:19:01 -246733.549362] SLOW spr round 24 (radius: 5) [08:22:18 -246729.868774] SLOW spr round 25 (radius: 5) [08:23:58] [worker #2] ML tree search #9, logLikelihood: -246319.508732 [08:25:20 -246729.868640] SLOW spr round 26 (radius: 10) [08:28:30 -246728.493214] SLOW spr round 27 (radius: 5) [08:32:02 -246721.974849] SLOW spr round 28 (radius: 5) [08:35:14 -246721.051864] SLOW spr round 29 (radius: 5) [08:38:16 -246721.051702] SLOW spr round 30 (radius: 10) [08:41:23 -246721.051681] SLOW spr round 31 (radius: 15) [08:46:47 -246721.051674] SLOW spr round 32 (radius: 20) [08:53:44 -246716.714739] SLOW spr round 33 (radius: 5) [08:57:27 -246715.572613] SLOW spr round 34 (radius: 5) [09:00:46 -246715.572575] SLOW spr round 35 (radius: 10) [09:04:06 -246715.572575] SLOW spr round 36 (radius: 15) [09:09:18 -246714.900329] SLOW spr round 37 (radius: 5) [09:13:01 -246707.405102] SLOW spr round 38 (radius: 5) [09:16:17 -246707.404081] SLOW spr round 39 (radius: 10) [09:19:35 -246707.404021] SLOW spr round 40 (radius: 15) [09:24:49 -246707.404017] SLOW spr round 41 (radius: 20) [09:31:48 -246707.404017] SLOW spr round 42 (radius: 25) [09:39:59 -246707.167260] SLOW spr round 43 (radius: 5) [09:43:48 -246688.396131] SLOW spr round 44 (radius: 5) [09:47:11 -246684.182264] SLOW spr round 45 (radius: 5) [09:50:19 -246678.791222] SLOW spr round 46 (radius: 5) [09:53:20 -246678.791126] SLOW spr round 47 (radius: 10) [09:56:26 -246678.439534] SLOW spr round 48 (radius: 5) [09:59:56 -246678.439333] SLOW spr round 49 (radius: 10) [10:03:29 -246678.439318] SLOW spr round 50 (radius: 15) [10:08:32 -246678.439316] SLOW spr round 51 (radius: 20) [10:15:35 -246678.439315] SLOW spr round 52 (radius: 25) [10:23:44 -246678.439315] Model parameter optimization (eps = 0.100000) [10:23:52] [worker #0] ML tree search #7, logLikelihood: -246678.406748 [10:23:52 -573916.940967] Initial branch length optimization [10:23:58 -495532.697503] Model parameter optimization (eps = 10.000000) [10:24:56 -493578.850291] AUTODETECT spr round 1 (radius: 5) [10:27:47 -386114.683465] AUTODETECT spr round 2 (radius: 10) [10:30:56 -313459.246491] AUTODETECT spr round 3 (radius: 15) [10:34:29 -281694.439600] AUTODETECT spr round 4 (radius: 20) [10:38:46 -266512.082262] AUTODETECT spr round 5 (radius: 25) [10:43:39 -264671.179052] SPR radius for FAST iterations: 25 (autodetect) [10:43:39 -264671.179052] Model parameter optimization (eps = 3.000000) [10:43:50 -264665.211981] FAST spr round 1 (radius: 25) [10:49:51 -247263.234733] FAST spr round 2 (radius: 25) [10:54:02 -246629.544734] FAST spr round 3 (radius: 25) [10:57:19 -246453.500428] FAST spr round 4 (radius: 25) [11:00:15 -246419.708194] FAST spr round 5 (radius: 25) [11:02:55 -246382.669591] FAST spr round 6 (radius: 25) [11:05:22 -246382.667827] Model parameter optimization (eps = 1.000000) [11:05:42 -246132.231697] SLOW spr round 1 (radius: 5) [11:08:59 -246045.119597] SLOW spr round 2 (radius: 5) [11:12:10 -246031.313906] SLOW spr round 3 (radius: 5) [11:15:14 -246019.206524] SLOW spr round 4 (radius: 5) [11:18:16 -245999.635485] SLOW spr round 5 (radius: 5) [11:21:13 -245999.506989] SLOW spr round 6 (radius: 5) [11:23:53] [worker #1] ML tree search #8, logLikelihood: -245982.218936 [11:24:09 -245999.506940] SLOW spr round 7 (radius: 10) [11:27:21 -245986.869428] SLOW spr round 8 (radius: 5) [11:30:55 -245981.242972] SLOW spr round 9 (radius: 5) [11:34:08 -245980.774169] SLOW spr round 10 (radius: 5) [11:37:10 -245980.772671] SLOW spr round 11 (radius: 10) [11:40:18 -245980.772611] SLOW spr round 12 (radius: 15) [11:43:04] [worker #2] ML tree search #12, logLikelihood: -246117.383005 [11:45:55 -245970.873257] SLOW spr round 13 (radius: 5) [11:49:37 -245967.893454] SLOW spr round 14 (radius: 5) [11:52:54 -245967.893334] SLOW spr round 15 (radius: 10) [11:56:14 -245966.957456] SLOW spr round 16 (radius: 5) [11:59:42 -245966.957343] SLOW spr round 17 (radius: 10) [12:03:14 -245966.957343] SLOW spr round 18 (radius: 15) [12:08:29 -245966.957343] SLOW spr round 19 (radius: 20) [12:16:03 -245966.957343] SLOW spr round 20 (radius: 25) [12:25:34 -245966.957343] Model parameter optimization (eps = 0.100000) [12:25:41] [worker #0] ML tree search #10, logLikelihood: -245966.896148 [12:25:41 -573049.290552] Initial branch length optimization [12:25:47 -494438.254218] Model parameter optimization (eps = 10.000000) [12:26:26 -492682.081971] AUTODETECT spr round 1 (radius: 5) [12:29:23 -392869.672574] AUTODETECT spr round 2 (radius: 10) [12:32:40 -322297.448008] AUTODETECT spr round 3 (radius: 15) [12:36:11 -285671.817492] AUTODETECT spr round 4 (radius: 20) [12:40:01 -270027.510581] AUTODETECT spr round 5 (radius: 25) [12:44:23 -266234.106970] SPR radius for FAST iterations: 25 (autodetect) [12:44:23 -266234.106970] Model parameter optimization (eps = 3.000000) [12:44:49 -265986.596507] FAST spr round 1 (radius: 25) [12:50:36 -247684.636572] FAST spr round 2 (radius: 25) [12:54:53 -246533.568006] FAST spr round 3 (radius: 25) [12:58:18 -246359.396005] FAST spr round 4 (radius: 25) [13:01:13 -246339.921993] FAST spr round 5 (radius: 25) [13:03:47 -246339.921150] Model parameter optimization (eps = 1.000000) [13:03:59 -246336.358259] SLOW spr round 1 (radius: 5) [13:07:19 -246277.551145] SLOW spr round 2 (radius: 5) [13:10:33 -246251.935114] SLOW spr round 3 (radius: 5) [13:13:35 -246247.146203] SLOW spr round 4 (radius: 5) [13:16:33 -246246.910665] SLOW spr round 5 (radius: 5) [13:19:30 -246246.909575] SLOW spr round 6 (radius: 10) [13:22:48 -246217.736116] SLOW spr round 7 (radius: 5) [13:26:27 -246208.635587] SLOW spr round 8 (radius: 5) [13:29:43 -246206.078524] SLOW spr round 9 (radius: 5) [13:32:49 -246204.905795] SLOW spr round 10 (radius: 5) [13:35:51 -246204.905651] SLOW spr round 11 (radius: 10) [13:39:03 -246203.542869] SLOW spr round 12 (radius: 5) [13:42:35 -246203.540252] SLOW spr round 13 (radius: 10) [13:46:14 -246203.539579] SLOW spr round 14 (radius: 15) [13:51:44 -246196.138053] SLOW spr round 15 (radius: 5) [13:55:25 -246195.860988] SLOW spr round 16 (radius: 5) [13:58:43 -246195.860397] SLOW spr round 17 (radius: 10) [14:02:10 -246195.689675] SLOW spr round 18 (radius: 5) [14:05:41 -246193.760108] SLOW spr round 19 (radius: 5) [14:08:58 -246193.018622] SLOW spr round 20 (radius: 5) [14:12:02 -246193.018448] SLOW spr round 21 (radius: 10) [14:15:15 -246193.018396] SLOW spr round 22 (radius: 15) [14:21:06 -246191.186573] SLOW spr round 23 (radius: 5) [14:24:41 -246191.186216] SLOW spr round 24 (radius: 10) [14:28:05 -246190.331569] SLOW spr round 25 (radius: 5) [14:31:04 -246189.610872] SLOW spr round 26 (radius: 5) [14:33:58 -246189.610865] SLOW spr round 27 (radius: 10) [14:36:58 -246187.727568] SLOW spr round 28 (radius: 5) [14:40:06 -246187.574908] SLOW spr round 29 (radius: 5) [14:43:01 -246187.121172] SLOW spr round 30 (radius: 5) [14:45:45 -246186.588596] SLOW spr round 31 (radius: 5) [14:48:25 -246186.588496] SLOW spr round 32 (radius: 10) [14:51:15 -246186.588491] SLOW spr round 33 (radius: 15) [14:56:28 -246186.588489] SLOW spr round 34 (radius: 20) [15:03:16 -246186.588487] SLOW spr round 35 (radius: 25) [15:10:44 -246186.473475] SLOW spr round 36 (radius: 5) [15:14:07 -246174.883893] SLOW spr round 37 (radius: 5) [15:17:07 -246174.881614] SLOW spr round 38 (radius: 10) [15:19:53] [worker #1] ML tree search #11, logLikelihood: -246002.503465 [15:20:13 -246174.880861] SLOW spr round 39 (radius: 15) [15:25:09 -246174.880610] SLOW spr round 40 (radius: 20) [15:32:06 -246174.880526] SLOW spr round 41 (radius: 25) [15:39:33 -246174.880498] Model parameter optimization (eps = 0.100000) [15:39:41] [worker #0] ML tree search #13, logLikelihood: -246174.526716 [15:39:41 -574549.615063] Initial branch length optimization [15:39:46 -496968.535431] Model parameter optimization (eps = 10.000000) [15:40:24 -494759.389560] AUTODETECT spr round 1 (radius: 5) [15:42:58 -391375.960858] AUTODETECT spr round 2 (radius: 10) [15:45:43 -313192.002896] AUTODETECT spr round 3 (radius: 15) [15:48:34 -281039.363783] AUTODETECT spr round 4 (radius: 20) [15:51:40 -269020.407449] AUTODETECT spr round 5 (radius: 25) [15:55:17] [worker #2] ML tree search #15, logLikelihood: -246116.205413 [15:55:40 -265776.295654] SPR radius for FAST iterations: 25 (autodetect) [15:55:40 -265776.295654] Model parameter optimization (eps = 3.000000) [15:55:50 -265752.134622] FAST spr round 1 (radius: 25) [16:00:39 -248253.899903] FAST spr round 2 (radius: 25) [16:04:12 -247348.755123] FAST spr round 3 (radius: 25) [16:07:07 -247026.831008] FAST spr round 4 (radius: 25) [16:09:39 -246962.867265] FAST spr round 5 (radius: 25) [16:12:01 -246931.297491] FAST spr round 6 (radius: 25) [16:14:15 -246910.470993] FAST spr round 7 (radius: 25) [16:16:23 -246897.993325] FAST spr round 8 (radius: 25) [16:18:25 -246897.993113] Model parameter optimization (eps = 1.000000) [16:18:44 -246666.262303] SLOW spr round 1 (radius: 5) [16:21:30 -246558.999425] SLOW spr round 2 (radius: 5) [16:24:12 -246538.567738] SLOW spr round 3 (radius: 5) [16:26:49 -246524.132264] SLOW spr round 4 (radius: 5) [16:29:23 -246523.608053] SLOW spr round 5 (radius: 5) [16:31:54 -246523.607159] SLOW spr round 6 (radius: 10) [16:34:36 -246501.487446] SLOW spr round 7 (radius: 5) [16:37:41 -246464.317213] SLOW spr round 8 (radius: 5) [16:40:28 -246456.626908] SLOW spr round 9 (radius: 5) [16:43:08 -246451.513805] SLOW spr round 10 (radius: 5) [16:45:48 -246445.525810] SLOW spr round 11 (radius: 5) [16:48:24 -246440.801183] SLOW spr round 12 (radius: 5) [16:50:56 -246440.112354] SLOW spr round 13 (radius: 5) [16:53:26 -246440.112053] SLOW spr round 14 (radius: 10) [16:56:06 -246437.466443] SLOW spr round 15 (radius: 5) [16:59:06 -246437.466372] SLOW spr round 16 (radius: 10) [17:02:12 -246437.215489] SLOW spr round 17 (radius: 5) [17:05:08 -246437.215274] SLOW spr round 18 (radius: 10) [17:08:07 -246437.215257] SLOW spr round 19 (radius: 15) [17:12:33 -246433.207492] SLOW spr round 20 (radius: 5) [17:15:40 -246432.888542] SLOW spr round 21 (radius: 5) [17:18:28 -246432.522221] SLOW spr round 22 (radius: 5) [17:21:05 -246432.522195] SLOW spr round 23 (radius: 10) [17:23:52 -246424.787426] SLOW spr round 24 (radius: 5) [17:26:53 -246417.693890] SLOW spr round 25 (radius: 5) [17:29:41 -246403.834829] SLOW spr round 26 (radius: 5) [17:32:19 -246399.695601] SLOW spr round 27 (radius: 5) [17:34:51 -246398.789207] SLOW spr round 28 (radius: 5) [17:37:21 -246398.789201] SLOW spr round 29 (radius: 10) [17:40:00 -246397.897333] SLOW spr round 30 (radius: 5) [17:43:03 -246396.171853] SLOW spr round 31 (radius: 5) [17:45:46 -246396.169691] SLOW spr round 32 (radius: 10) [17:48:34 -246396.169539] SLOW spr round 33 (radius: 15) [17:52:05] [worker #1] ML tree search #14, logLikelihood: -246203.968330 [17:53:06 -246393.987306] SLOW spr round 34 (radius: 5) [17:56:13 -246390.923597] SLOW spr round 35 (radius: 5) [17:59:01 -246390.523282] SLOW spr round 36 (radius: 5) [18:01:40 -246390.523194] SLOW spr round 37 (radius: 10) [18:04:23 -246390.523190] SLOW spr round 38 (radius: 15) [18:08:58 -246388.490080] SLOW spr round 39 (radius: 5) [18:12:03 -246388.488208] SLOW spr round 40 (radius: 10) [18:15:19 -246388.488125] SLOW spr round 41 (radius: 15) [18:19:37 -246388.394573] SLOW spr round 42 (radius: 20) [18:25:56 -246382.111348] SLOW spr round 43 (radius: 5) [18:29:12 -246365.445787] SLOW spr round 44 (radius: 5) [18:32:09 -246355.918927] SLOW spr round 45 (radius: 5) [18:34:48 -246355.918123] SLOW spr round 46 (radius: 10) [18:37:32 -246355.403473] SLOW spr round 47 (radius: 5) [18:40:31 -246355.278456] SLOW spr round 48 (radius: 5) [18:43:15 -246355.277777] SLOW spr round 49 (radius: 10) [18:46:04 -246353.298191] SLOW spr round 50 (radius: 5) [18:49:03 -246353.030365] SLOW spr round 51 (radius: 5) [18:51:45 -246353.030010] SLOW spr round 52 (radius: 10) [18:54:34 -246351.972654] SLOW spr round 53 (radius: 5) [18:57:33 -246350.171975] SLOW spr round 54 (radius: 5) [19:00:17 -246349.802043] SLOW spr round 55 (radius: 5) [19:02:52 -246349.801758] SLOW spr round 56 (radius: 10) [19:05:33 -246349.801753] SLOW spr round 57 (radius: 15) [19:10:12 -246348.493255] SLOW spr round 58 (radius: 5) [19:13:19 -246345.209375] SLOW spr round 59 (radius: 5) [19:16:08 -246345.209356] SLOW spr round 60 (radius: 10) [19:18:58 -246345.209356] SLOW spr round 61 (radius: 15) [19:23:28 -246343.935253] SLOW spr round 62 (radius: 5) [19:26:37 -246339.590803] SLOW spr round 63 (radius: 5) [19:29:25 -246339.589783] SLOW spr round 64 (radius: 10) [19:32:16 -246339.589753] SLOW spr round 65 (radius: 15) [19:36:43 -246339.589752] SLOW spr round 66 (radius: 20) [19:42:52 -246339.589752] SLOW spr round 67 (radius: 25) [19:50:20 -246339.546912] Model parameter optimization (eps = 0.100000) [19:50:35] [worker #0] ML tree search #16, logLikelihood: -246337.728565 [19:50:36 -573976.296526] Initial branch length optimization [19:50:41 -495664.234770] Model parameter optimization (eps = 10.000000) [19:51:28 -493570.711420] AUTODETECT spr round 1 (radius: 5) [19:53:56 -389185.234547] AUTODETECT spr round 2 (radius: 10) [19:56:40 -315335.055920] AUTODETECT spr round 3 (radius: 15) [19:59:41 -276727.624261] AUTODETECT spr round 4 (radius: 20) [20:03:16 -265717.708938] AUTODETECT spr round 5 (radius: 25) [20:07:12 -262128.401549] SPR radius for FAST iterations: 25 (autodetect) [20:07:12 -262128.401549] Model parameter optimization (eps = 3.000000) [20:07:21 -262119.868673] FAST spr round 1 (radius: 25) [20:12:18 -247733.444992] FAST spr round 2 (radius: 25) [20:15:50 -246651.324410] FAST spr round 3 (radius: 25) [20:18:45 -246542.570552] FAST spr round 4 (radius: 25) [20:21:16 -246529.195464] FAST spr round 5 (radius: 25) [20:23:28 -246526.658646] FAST spr round 6 (radius: 25) [20:25:33 -246526.658478] Model parameter optimization (eps = 1.000000) [20:25:40 -246526.451418] SLOW spr round 1 (radius: 5) [20:28:35 -246458.458459] SLOW spr round 2 (radius: 5) [20:31:18 -246445.101840] SLOW spr round 3 (radius: 5) [20:33:57 -246438.785249] SLOW spr round 4 (radius: 5) [20:36:33 -246436.861711] SLOW spr round 5 (radius: 5) [20:39:13 -246421.631089] SLOW spr round 6 (radius: 5) [20:41:49 -246415.398877] SLOW spr round 7 (radius: 5) [20:44:22 -246411.021553] SLOW spr round 8 (radius: 5) [20:46:57 -246408.216661] SLOW spr round 9 (radius: 5) [20:49:27 -246408.167841] SLOW spr round 10 (radius: 10) [20:52:17 -246385.103377] SLOW spr round 11 (radius: 5) [20:55:21 -246380.188375] SLOW spr round 12 (radius: 5) [20:58:07 -246380.082107] SLOW spr round 13 (radius: 5) [21:00:44 -246380.081966] SLOW spr round 14 (radius: 10) [21:02:25] [worker #1] ML tree search #17, logLikelihood: -245975.013800 [21:03:34 -246365.232914] SLOW spr round 15 (radius: 5) [21:06:40 -246358.738905] SLOW spr round 16 (radius: 5) [21:09:24 -246358.738824] SLOW spr round 17 (radius: 10) [21:12:17 -246348.491752] SLOW spr round 18 (radius: 5) [21:15:24 -246333.790453] SLOW spr round 19 (radius: 5) [21:18:10 -246331.780665] SLOW spr round 20 (radius: 5) [21:20:50 -246330.980129] SLOW spr round 21 (radius: 5) [21:23:22 -246330.979256] SLOW spr round 22 (radius: 10) [21:26:03 -246330.235309] SLOW spr round 23 (radius: 5) [21:29:06 -246324.942134] SLOW spr round 24 (radius: 5) [21:31:52 -246323.828957] SLOW spr round 25 (radius: 5) [21:34:28 -246323.828255] SLOW spr round 26 (radius: 10) [21:37:12 -246323.109604] SLOW spr round 27 (radius: 5) [21:40:13 -246322.879660] SLOW spr round 28 (radius: 5) [21:42:57 -246322.879482] SLOW spr round 29 (radius: 10) [21:45:49 -246319.642034] SLOW spr round 30 (radius: 5) [21:48:47 -246319.392538] SLOW spr round 31 (radius: 5) [21:51:32 -246318.385127] SLOW spr round 32 (radius: 5) [21:54:08 -246318.384796] SLOW spr round 33 (radius: 10) [21:56:52 -246318.188886] SLOW spr round 34 (radius: 5) [21:59:53 -246317.414631] SLOW spr round 35 (radius: 5) [22:02:36 -246317.414323] SLOW spr round 36 (radius: 10) [22:05:24 -246317.370997] SLOW spr round 37 (radius: 15) [22:10:07 -246314.341725] SLOW spr round 38 (radius: 5) [22:13:18 -246300.722516] SLOW spr round 39 (radius: 5) [22:16:07 -246299.874838] SLOW spr round 40 (radius: 5) [22:18:47 -246299.661047] SLOW spr round 41 (radius: 5) [22:21:21 -246299.661024] SLOW spr round 42 (radius: 10) [22:24:03 -246296.645047] SLOW spr round 43 (radius: 5) [22:27:04 -246290.951018] SLOW spr round 44 (radius: 5) [22:29:49 -246290.684472] SLOW spr round 45 (radius: 5) [22:32:25 -246290.684471] SLOW spr round 46 (radius: 10) [22:35:08 -246290.684470] SLOW spr round 47 (radius: 15) [22:39:58 -246290.214621] SLOW spr round 48 (radius: 5) [22:43:04 -246290.212288] SLOW spr round 49 (radius: 10) [22:46:22 -246290.212282] SLOW spr round 50 (radius: 15) [22:50:51 -246290.212282] SLOW spr round 51 (radius: 20) [22:54:18] [worker #2] ML tree search #18, logLikelihood: -246183.596917 [22:57:17 -246290.212282] SLOW spr round 52 (radius: 25) [23:04:32 -246277.014412] SLOW spr round 53 (radius: 5) [23:07:45 -246267.498393] SLOW spr round 54 (radius: 5) [23:10:36 -246267.496629] SLOW spr round 55 (radius: 10) [23:13:32 -246266.243620] SLOW spr round 56 (radius: 5) [23:16:30 -246260.821842] SLOW spr round 57 (radius: 5) [23:19:13 -246256.071615] SLOW spr round 58 (radius: 5) [23:21:48 -246256.071614] SLOW spr round 59 (radius: 10) [23:24:31 -246256.071614] SLOW spr round 60 (radius: 15) [23:29:19 -246256.071614] SLOW spr round 61 (radius: 20) [23:35:33 -246256.071614] SLOW spr round 62 (radius: 25) [23:42:48 -246256.071614] Model parameter optimization (eps = 0.100000) [23:42:54] [worker #0] ML tree search #19, logLikelihood: -246256.028979 [25:19:03] [worker #1] ML tree search #20, logLikelihood: -246641.068492 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.143102,0.485942) (0.099127,0.519292) (0.464851,0.876781) (0.292919,1.609358) 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: -245911.043132 AIC score: 495808.086264 / AICc score: 8443892.086264 / BIC score: 503676.519997 Free parameters (model + branch lengths): 1993 WARNING: Number of free parameters (K=1993) is larger than alignment size (n=383). 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/Q5JPF3/3_mltree/Q5JPF3.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/3_mltree/Q5JPF3.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/3_mltree/Q5JPF3.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5JPF3/3_mltree/Q5JPF3.raxml.log Analysis started: 02-Jul-2021 01:39:53 / finished: 03-Jul-2021 02:58:56 Elapsed time: 91143.433 seconds Consumed energy: 7253.745 Wh (= 36 km in an electric car, or 181 km with an e-scooter!)