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 07:49:56 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/2_msa/Q8N7N1_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/3_mltree/Q8N7N1 --seed 2 --threads 2 --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 (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/2_msa/Q8N7N1_trimmed_msa.fasta
[00:00:00] Loaded alignment with 508 taxa and 82 sites

WARNING: Sequences tr_G3R4N9_G3R4N9_GORGO_9595 and tr_K7CAR1_K7CAR1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R4N9_G3R4N9_GORGO_9595 and sp_Q8N7N1_F86B1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R4N9_G3R4N9_GORGO_9595 and tr_A0A2R9BIE2_A0A2R9BIE2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_B8PMJ3_B8PMJ3_POSPM_561896 and tr_A0A1X6MWK3_A0A1X6MWK3_9APHY_670580 are exactly identical!
WARNING: Sequences tr_Q2M161_Q2M161_DROPS_46245 and tr_B4GUL5_B4GUL5_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A2I3TGZ3_A0A2I3TGZ3_PANTR_9598 and tr_A0A2I3TJ04_A0A2I3TJ04_PANTR_9598 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_A0A0D2YBR0_A0A0D2YBR0_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_S0EEF9_S0EEF9_GIBF5_1279085 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_N4UPL7_N4UPL7_FUSC1_1229664 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_X0CSK7_X0CSK7_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_A0A2H3TKQ7_A0A2H3TKQ7_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_A0A2K0WV45_A0A2K0WV45_GIBNY_42673 are exactly identical!
WARNING: Sequences tr_F9G210_F9G210_FUSOF_660025 and tr_A0A365NGE6_A0A365NGE6_GIBIN_948311 are exactly identical!
WARNING: Sequences tr_E9F6Y9_E9F6Y9_METRA_655844 and tr_A0A0B4I482_A0A0B4I482_METMF_1276143 are exactly identical!
WARNING: Sequences tr_E9F6Y9_E9F6Y9_METRA_655844 and tr_A0A0D9NSA8_A0A0D9NSA8_METAN_1291518 are exactly identical!
WARNING: Sequences tr_J4KPJ5_J4KPJ5_BEAB2_655819 and tr_A0A0A2W9R7_A0A0A2W9R7_BEABA_1245745 are exactly identical!
WARNING: Sequences tr_J4KPJ5_J4KPJ5_BEAB2_655819 and tr_A0A2N6NXZ4_A0A2N6NXZ4_BEABA_176275 are exactly identical!
WARNING: Sequences tr_A0A158NF26_A0A158NF26_ATTCE_12957 and tr_A0A195AVP7_A0A195AVP7_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A1D5RJR2_A0A1D5RJR2_MACMU_9544 and tr_G7Q0F9_G7Q0F9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5RJR2_A0A1D5RJR2_MACMU_9544 and tr_A0A096NLK1_A0A096NLK1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5RJR2_A0A1D5RJR2_MACMU_9544 and tr_A0A0D9R8R2_A0A0D9R8R2_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5RJR2_A0A1D5RJR2_MACMU_9544 and tr_A0A2K6C8L4_A0A2K6C8L4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5RJR2_A0A1D5RJR2_MACMU_9544 and tr_A0A2K5Z5T4_A0A2K5Z5T4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F4P4H7_F4P4H7_BATDJ_684364 and tr_A0A177WG29_A0A177WG29_BATDE_403673 are exactly identical!
WARNING: Sequences tr_E3N086_E3N086_CAERE_31234 and tr_A0A260ZU04_A0A260ZU04_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_C9S9G4_C9S9G4_VERA1_526221 and tr_A0A0G4KLU9_A0A0G4KLU9_9PEZI_100787 are exactly identical!
WARNING: Sequences tr_G5E5X4_G5E5X4_BOVIN_9913 and sp_Q1JPJ9_EF2KT_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_F2PNY9_F2PNY9_TRIEC_559882 and tr_A0A059J3A9_A0A059J3A9_9EURO_1215338 are exactly identical!
WARNING: Sequences tr_V2XMR1_V2XMR1_MONRO_1381753 and tr_A0A0W0FL39_A0A0W0FL39_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_W2QFT8_W2QFT8_PHYPN_761204 and tr_A0A0W8BUU7_A0A0W8BUU7_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QFT8_W2QFT8_PHYPN_761204 and tr_A0A0W8CN16_A0A0W8CN16_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QFT8_W2QFT8_PHYPN_761204 and tr_W2JER4_W2JER4_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A044V306_A0A044V306_ONCVO_6282 and tr_A0A182DXZ9_A0A182DXZ9_ONCOC_42157 are exactly identical!
WARNING: Sequences tr_V4TEN4_V4TEN4_9ROSI_85681 and tr_A0A2H5PBI9_A0A2H5PBI9_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0L9V268_A0A0L9V268_PHAAN_3914 and tr_A0A1S3UH93_A0A1S3UH93_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1S3VK30_A0A1S3VK30_VIGRR_3916 and tr_A0A3Q0FF54_A0A3Q0FF54_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1D1V8F0_A0A1D1V8F0_RAMVA_947166 and tr_A0A1D1VDY5_A0A1D1VDY5_RAMVA_947166 are exactly identical!
WARNING: Sequences tr_A0A2D0PPV5_A0A2D0PPV5_ICTPU_7998 and tr_A0A2D0PRF7_A0A2D0PRF7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2N5TKF1_A0A2N5TKF1_9BASI_200324 and tr_A0A2N5UED5_A0A2N5UED5_9BASI_200324 are exactly identical!
WARNING: Sequences tr_A0A2U4ATM3_A0A2U4ATM3_TURTR_9739 and tr_A0A2Y9PZE2_A0A2Y9PZE2_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4ATM3_A0A2U4ATM3_TURTR_9739 and tr_A0A384A3T8_A0A384A3T8_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2U3W5C1_A0A2U3W5C1_ODORO_9708 and tr_A0A2U3YV01_A0A2U3YV01_LEPWE_9713 are exactly identical!
WARNING: Duplicate sequences found: 42

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/Q8N7N1/3_mltree/Q8N7N1.raxml.reduced.phy

Alignment comprises 1 partitions and 82 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 82 / 82
Gaps: 3.85 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/3_mltree/Q8N7N1.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 1 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 508 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 82 / 6560
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -71986.121988] Initial branch length optimization
[00:00:01 -59361.902525] Model parameter optimization (eps = 10.000000)
[00:00:14 -58337.220565] AUTODETECT spr round 1 (radius: 5)
[00:00:42 -46129.507899] AUTODETECT spr round 2 (radius: 10)
[00:01:14 -38173.625853] AUTODETECT spr round 3 (radius: 15)
[00:01:54 -32811.437393] AUTODETECT spr round 4 (radius: 20)
[00:02:44 -31121.327495] AUTODETECT spr round 5 (radius: 25)
[00:03:38 -31041.631596] SPR radius for FAST iterations: 25 (autodetect)
[00:03:39 -31041.631596] Model parameter optimization (eps = 3.000000)
[00:03:54 -30952.244264] FAST spr round 1 (radius: 25)
[00:04:33 -27839.610815] FAST spr round 2 (radius: 25)
[00:05:04 -27572.921470] FAST spr round 3 (radius: 25)
[00:05:34 -27552.206062] FAST spr round 4 (radius: 25)
[00:05:58 -27550.948577] FAST spr round 5 (radius: 25)
[00:06:22 -27550.947091] Model parameter optimization (eps = 1.000000)
[00:06:27 -27550.455716] SLOW spr round 1 (radius: 5)
[00:07:03 -27539.840922] SLOW spr round 2 (radius: 5)
[00:07:37 -27532.545840] SLOW spr round 3 (radius: 5)
[00:08:10 -27532.536401] SLOW spr round 4 (radius: 10)
[00:08:42 -27530.654514] SLOW spr round 5 (radius: 5)
[00:09:25 -27527.849577] SLOW spr round 6 (radius: 5)
[00:10:02 -27526.844084] SLOW spr round 7 (radius: 5)
[00:10:37 -27522.267345] SLOW spr round 8 (radius: 5)
[00:11:10 -27517.584713] SLOW spr round 9 (radius: 5)
[00:11:44 -27516.207495] SLOW spr round 10 (radius: 5)
[00:12:15 -27516.207346] SLOW spr round 11 (radius: 10)
[00:12:48 -27516.207344] SLOW spr round 12 (radius: 15)
[00:13:46 -27515.431028] SLOW spr round 13 (radius: 5)
[00:14:28 -27515.430890] SLOW spr round 14 (radius: 10)
[00:15:05 -27514.606664] SLOW spr round 15 (radius: 5)
[00:15:46 -27511.092529] SLOW spr round 16 (radius: 5)
[00:16:21 -27510.821684] SLOW spr round 17 (radius: 5)
[00:16:54 -27510.821354] SLOW spr round 18 (radius: 10)
[00:17:26 -27510.447164] SLOW spr round 19 (radius: 5)
[00:18:06 -27510.447043] SLOW spr round 20 (radius: 10)
[00:18:42 -27510.447035] SLOW spr round 21 (radius: 15)
[00:19:35 -27510.447034] SLOW spr round 22 (radius: 20)
[00:20:50 -27510.427697] SLOW spr round 23 (radius: 25)
[00:21:11] [worker #1] ML tree search #2, logLikelihood: -27469.109250
[00:22:13 -27510.427316] Model parameter optimization (eps = 0.100000)

[00:22:19] [worker #0] ML tree search #1, logLikelihood: -27509.793003

[00:22:19 -71587.267759] Initial branch length optimization
[00:22:20 -58994.582090] Model parameter optimization (eps = 10.000000)
[00:22:35 -57949.258463] AUTODETECT spr round 1 (radius: 5)
[00:23:03 -47326.068912] AUTODETECT spr round 2 (radius: 10)
[00:23:35 -39117.349558] AUTODETECT spr round 3 (radius: 15)
[00:24:14 -34077.789326] AUTODETECT spr round 4 (radius: 20)
[00:24:57 -31719.279743] AUTODETECT spr round 5 (radius: 25)
[00:25:45 -31478.133133] SPR radius for FAST iterations: 25 (autodetect)
[00:25:45 -31478.133133] Model parameter optimization (eps = 3.000000)
[00:25:58 -31364.038950] FAST spr round 1 (radius: 25)
[00:26:40 -28332.655241] FAST spr round 2 (radius: 25)
[00:27:11 -28179.227788] FAST spr round 3 (radius: 25)
[00:27:38 -28152.046590] FAST spr round 4 (radius: 25)
[00:28:03 -28151.068945] FAST spr round 5 (radius: 25)
[00:28:26 -28151.068877] Model parameter optimization (eps = 1.000000)
[00:28:31 -28150.002538] SLOW spr round 1 (radius: 5)
[00:29:06 -28140.736355] SLOW spr round 2 (radius: 5)
[00:29:40 -28139.719474] SLOW spr round 3 (radius: 5)
[00:30:12 -28139.716849] SLOW spr round 4 (radius: 10)
[00:30:45 -28137.523612] SLOW spr round 5 (radius: 5)
[00:31:25 -28137.458321] SLOW spr round 6 (radius: 10)
[00:32:02 -28136.372396] SLOW spr round 7 (radius: 5)
[00:32:41 -28136.372301] SLOW spr round 8 (radius: 10)
[00:33:16 -28136.316018] SLOW spr round 9 (radius: 15)
[00:34:06 -28136.227086] SLOW spr round 10 (radius: 20)
[00:35:11 -28136.224363] SLOW spr round 11 (radius: 25)
[00:36:24 -28136.224015] Model parameter optimization (eps = 0.100000)

[00:36:30] [worker #0] ML tree search #3, logLikelihood: -28135.573233

[00:36:30 -71768.555008] Initial branch length optimization
[00:36:31 -59329.736092] Model parameter optimization (eps = 10.000000)
[00:36:51 -58350.668455] AUTODETECT spr round 1 (radius: 5)
[00:37:19 -46831.710846] AUTODETECT spr round 2 (radius: 10)
[00:37:50 -38311.533908] AUTODETECT spr round 3 (radius: 15)
[00:38:27 -34939.882323] AUTODETECT spr round 4 (radius: 20)
[00:39:11 -31423.223124] AUTODETECT spr round 5 (radius: 25)
[00:39:55 -31201.919847] SPR radius for FAST iterations: 25 (autodetect)
[00:39:55 -31201.919847] Model parameter optimization (eps = 3.000000)
[00:40:12 -31148.713588] FAST spr round 1 (radius: 25)
[00:40:50 -27763.606275] FAST spr round 2 (radius: 25)
[00:40:56] [worker #1] ML tree search #4, logLikelihood: -27767.373661
[00:41:20 -27546.191122] FAST spr round 3 (radius: 25)
[00:41:47 -27527.699712] FAST spr round 4 (radius: 25)
[00:42:12 -27520.650994] FAST spr round 5 (radius: 25)
[00:42:36 -27518.263249] FAST spr round 6 (radius: 25)
[00:43:00 -27517.116361] FAST spr round 7 (radius: 25)
[00:43:23 -27517.115848] Model parameter optimization (eps = 1.000000)
[00:43:30 -27515.482150] SLOW spr round 1 (radius: 5)
[00:44:04 -27502.199244] SLOW spr round 2 (radius: 5)
[00:44:39 -27494.259798] SLOW spr round 3 (radius: 5)
[00:45:12 -27493.030738] SLOW spr round 4 (radius: 5)
[00:45:45 -27493.030369] SLOW spr round 5 (radius: 10)
[00:46:17 -27492.708312] SLOW spr round 6 (radius: 5)
[00:46:58 -27492.468756] SLOW spr round 7 (radius: 5)
[00:47:35 -27492.468040] SLOW spr round 8 (radius: 10)
[00:48:08 -27492.468030] SLOW spr round 9 (radius: 15)
[00:49:04 -27492.334929] SLOW spr round 10 (radius: 5)
[00:49:47 -27491.136688] SLOW spr round 11 (radius: 5)
[00:50:23 -27491.136493] SLOW spr round 12 (radius: 10)
[00:50:57 -27491.136482] SLOW spr round 13 (radius: 15)
[00:51:53 -27491.136481] SLOW spr round 14 (radius: 20)
[00:53:06 -27488.936624] SLOW spr round 15 (radius: 5)
[00:53:51 -27486.692949] SLOW spr round 16 (radius: 5)
[00:54:30 -27485.137996] SLOW spr round 17 (radius: 5)
[00:55:06 -27484.749279] SLOW spr round 18 (radius: 5)
[00:55:39 -27484.746243] SLOW spr round 19 (radius: 10)
[00:56:11 -27484.745233] SLOW spr round 20 (radius: 15)
[00:57:08 -27484.196558] SLOW spr round 21 (radius: 5)
[00:57:50 -27484.118165] SLOW spr round 22 (radius: 10)
[00:58:28 -27484.117432] SLOW spr round 23 (radius: 15)
[00:59:18 -27483.678728] SLOW spr round 24 (radius: 5)
[01:00:02 -27483.192706] SLOW spr round 25 (radius: 5)
[01:00:39 -27483.190184] SLOW spr round 26 (radius: 10)
[01:01:11 -27483.189810] SLOW spr round 27 (radius: 15)
[01:02:04 -27483.079810] SLOW spr round 28 (radius: 5)
[01:02:46 -27483.079731] SLOW spr round 29 (radius: 10)
[01:03:16] [worker #1] ML tree search #6, logLikelihood: -27465.947746
[01:03:23 -27483.079723] SLOW spr round 30 (radius: 15)
[01:04:13 -27483.079722] SLOW spr round 31 (radius: 20)
[01:05:25 -27482.802688] SLOW spr round 32 (radius: 5)
[01:06:08 -27482.691855] SLOW spr round 33 (radius: 5)
[01:06:46 -27482.691711] SLOW spr round 34 (radius: 10)
[01:07:19 -27482.691703] SLOW spr round 35 (radius: 15)
[01:08:12 -27482.691702] SLOW spr round 36 (radius: 20)
[01:09:23 -27482.691702] SLOW spr round 37 (radius: 25)
[01:10:44 -27482.691702] Model parameter optimization (eps = 0.100000)

[01:10:50] [worker #0] ML tree search #5, logLikelihood: -27479.574286

[01:10:50 -71563.572654] Initial branch length optimization
[01:10:51 -59135.239246] Model parameter optimization (eps = 10.000000)
[01:11:04 -57952.886411] AUTODETECT spr round 1 (radius: 5)
[01:11:32 -47040.875253] AUTODETECT spr round 2 (radius: 10)
[01:12:04 -37954.037859] AUTODETECT spr round 3 (radius: 15)
[01:12:40 -34316.491432] AUTODETECT spr round 4 (radius: 20)
[01:13:24 -31953.611414] AUTODETECT spr round 5 (radius: 25)
[01:14:13 -31082.560440] SPR radius for FAST iterations: 25 (autodetect)
[01:14:13 -31082.560440] Model parameter optimization (eps = 3.000000)
[01:14:24 -30960.588804] FAST spr round 1 (radius: 25)
[01:15:04 -27702.798147] FAST spr round 2 (radius: 25)
[01:15:36 -27571.331121] FAST spr round 3 (radius: 25)
[01:16:05 -27549.491541] FAST spr round 4 (radius: 25)
[01:16:30 -27543.102279] FAST spr round 5 (radius: 25)
[01:16:54 -27538.152247] FAST spr round 6 (radius: 25)
[01:17:17 -27534.849646] FAST spr round 7 (radius: 25)
[01:17:40 -27534.848237] Model parameter optimization (eps = 1.000000)
[01:17:46 -27533.389792] SLOW spr round 1 (radius: 5)
[01:18:22 -27524.741259] SLOW spr round 2 (radius: 5)
[01:18:56 -27517.966514] SLOW spr round 3 (radius: 5)
[01:19:29 -27517.959217] SLOW spr round 4 (radius: 10)
[01:20:02 -27517.660331] SLOW spr round 5 (radius: 5)
[01:20:44 -27517.660173] SLOW spr round 6 (radius: 10)
[01:21:22 -27516.917434] SLOW spr round 7 (radius: 5)
[01:22:04 -27513.503519] SLOW spr round 8 (radius: 5)
[01:22:42 -27511.447939] SLOW spr round 9 (radius: 5)
[01:23:16 -27511.443797] SLOW spr round 10 (radius: 10)
[01:23:50 -27510.551680] SLOW spr round 11 (radius: 5)
[01:24:31 -27510.539409] SLOW spr round 12 (radius: 10)
[01:25:08 -27510.538667] SLOW spr round 13 (radius: 15)
[01:26:00 -27510.538200] SLOW spr round 14 (radius: 20)
[01:27:18 -27510.482657] SLOW spr round 15 (radius: 25)
[01:28:42 -27508.999303] SLOW spr round 16 (radius: 5)
[01:29:28 -27469.414314] SLOW spr round 17 (radius: 5)
[01:30:07 -27469.414279] SLOW spr round 18 (radius: 10)
[01:30:42 -27469.414275] SLOW spr round 19 (radius: 15)
[01:31:12] [worker #1] ML tree search #8, logLikelihood: -27482.866998
[01:31:37 -27469.414273] SLOW spr round 20 (radius: 20)
[01:32:56 -27469.414272] SLOW spr round 21 (radius: 25)
[01:34:20 -27469.414271] Model parameter optimization (eps = 0.100000)

[01:34:25] [worker #0] ML tree search #7, logLikelihood: -27469.166136

[01:34:25 -71789.520914] Initial branch length optimization
[01:34:26 -58881.236465] Model parameter optimization (eps = 10.000000)
[01:34:41 -57875.843346] AUTODETECT spr round 1 (radius: 5)
[01:35:09 -46184.363505] AUTODETECT spr round 2 (radius: 10)
[01:35:41 -38139.848379] AUTODETECT spr round 3 (radius: 15)
[01:36:18 -35140.961881] AUTODETECT spr round 4 (radius: 20)
[01:37:06 -32037.337539] AUTODETECT spr round 5 (radius: 25)
[01:38:00 -31494.244570] SPR radius for FAST iterations: 25 (autodetect)
[01:38:00 -31494.244570] Model parameter optimization (eps = 3.000000)
[01:38:12 -31437.809052] FAST spr round 1 (radius: 25)
[01:38:54 -27788.524472] FAST spr round 2 (radius: 25)
[01:39:26 -27539.238425] FAST spr round 3 (radius: 25)
[01:39:56 -27518.284905] FAST spr round 4 (radius: 25)
[01:40:21 -27515.719893] FAST spr round 5 (radius: 25)
[01:40:45 -27513.317446] FAST spr round 6 (radius: 25)
[01:41:09 -27513.317268] Model parameter optimization (eps = 1.000000)
[01:41:19 -27501.341799] SLOW spr round 1 (radius: 5)
[01:41:55 -27484.832690] SLOW spr round 2 (radius: 5)
[01:42:28 -27480.770873] SLOW spr round 3 (radius: 5)
[01:43:01 -27480.761585] SLOW spr round 4 (radius: 10)
[01:43:34 -27477.942761] SLOW spr round 5 (radius: 5)
[01:44:05] [worker #1] ML tree search #10, logLikelihood: -27485.348975
[01:44:15 -27477.188292] SLOW spr round 6 (radius: 5)
[01:44:51 -27477.187425] SLOW spr round 7 (radius: 10)
[01:45:26 -27474.716843] SLOW spr round 8 (radius: 5)
[01:46:06 -27474.623721] SLOW spr round 9 (radius: 10)
[01:46:43 -27473.741594] SLOW spr round 10 (radius: 5)
[01:47:24 -27468.374521] SLOW spr round 11 (radius: 5)
[01:47:59 -27468.374002] SLOW spr round 12 (radius: 10)
[01:48:33 -27468.373988] SLOW spr round 13 (radius: 15)
[01:49:32 -27468.296088] SLOW spr round 14 (radius: 20)
[01:50:48 -27468.288393] SLOW spr round 15 (radius: 25)
[01:52:07 -27468.287428] Model parameter optimization (eps = 0.100000)

[01:52:10] [worker #0] ML tree search #9, logLikelihood: -27468.202905

[01:52:10 -71814.019215] Initial branch length optimization
[01:52:11 -59261.734403] Model parameter optimization (eps = 10.000000)
[01:52:25 -58277.580513] AUTODETECT spr round 1 (radius: 5)
[01:52:53 -45927.091317] AUTODETECT spr round 2 (radius: 10)
[01:53:24 -37944.947297] AUTODETECT spr round 3 (radius: 15)
[01:54:03 -34791.167956] AUTODETECT spr round 4 (radius: 20)
[01:54:49 -31751.217554] AUTODETECT spr round 5 (radius: 25)
[01:55:39 -30884.310165] SPR radius for FAST iterations: 25 (autodetect)
[01:55:39 -30884.310165] Model parameter optimization (eps = 3.000000)
[01:55:49 -30804.132959] FAST spr round 1 (radius: 25)
[01:56:29 -27787.865614] FAST spr round 2 (radius: 25)
[01:57:00 -27580.690879] FAST spr round 3 (radius: 25)
[01:57:28 -27552.594302] FAST spr round 4 (radius: 25)
[01:57:52 -27548.246451] FAST spr round 5 (radius: 25)
[01:58:16 -27548.246368] Model parameter optimization (eps = 1.000000)
[01:58:23 -27541.933228] SLOW spr round 1 (radius: 5)
[01:58:59 -27535.796747] SLOW spr round 2 (radius: 5)
[01:59:32 -27532.563536] SLOW spr round 3 (radius: 5)
[02:00:04 -27532.563115] SLOW spr round 4 (radius: 10)
[02:00:37 -27529.473940] SLOW spr round 5 (radius: 5)
[02:01:20 -27527.105880] SLOW spr round 6 (radius: 5)
[02:01:56 -27524.914310] SLOW spr round 7 (radius: 5)
[02:02:30 -27524.913770] SLOW spr round 8 (radius: 10)
[02:03:03 -27523.921696] SLOW spr round 9 (radius: 5)
[02:03:44 -27523.921376] SLOW spr round 10 (radius: 10)
[02:04:21 -27523.496079] SLOW spr round 11 (radius: 5)
[02:05:03 -27519.075284] SLOW spr round 12 (radius: 5)
[02:05:40 -27517.358847] SLOW spr round 13 (radius: 5)
[02:06:13 -27517.358602] SLOW spr round 14 (radius: 10)
[02:06:46 -27515.545357] SLOW spr round 15 (radius: 5)
[02:07:27 -27515.545269] SLOW spr round 16 (radius: 10)
[02:08:03 -27514.586175] SLOW spr round 17 (radius: 5)
[02:08:43 -27514.561439] SLOW spr round 18 (radius: 10)
[02:09:19 -27514.454661] SLOW spr round 19 (radius: 5)
[02:09:57] [worker #1] ML tree search #12, logLikelihood: -27474.563852
[02:10:00 -27513.849797] SLOW spr round 20 (radius: 5)
[02:10:36 -27512.975083] SLOW spr round 21 (radius: 5)
[02:11:10 -27512.975079] SLOW spr round 22 (radius: 10)
[02:11:43 -27512.932670] SLOW spr round 23 (radius: 15)
[02:12:41 -27512.486411] SLOW spr round 24 (radius: 5)
[02:13:24 -27510.539146] SLOW spr round 25 (radius: 5)
[02:14:01 -27510.539073] SLOW spr round 26 (radius: 10)
[02:14:35 -27510.539071] SLOW spr round 27 (radius: 15)
[02:15:31 -27510.539070] SLOW spr round 28 (radius: 20)
[02:16:47 -27510.539070] SLOW spr round 29 (radius: 25)
[02:18:02 -27510.539070] Model parameter optimization (eps = 0.100000)

[02:18:05] [worker #0] ML tree search #11, logLikelihood: -27510.496713

[02:18:05 -71090.135199] Initial branch length optimization
[02:18:06 -58828.989231] Model parameter optimization (eps = 10.000000)
[02:18:20 -57863.219345] AUTODETECT spr round 1 (radius: 5)
[02:18:48 -46627.892673] AUTODETECT spr round 2 (radius: 10)
[02:19:20 -37735.885688] AUTODETECT spr round 3 (radius: 15)
[02:19:57 -34251.833794] AUTODETECT spr round 4 (radius: 20)
[02:20:43 -30952.855104] AUTODETECT spr round 5 (radius: 25)
[02:21:34 -30809.821044] SPR radius for FAST iterations: 25 (autodetect)
[02:21:34 -30809.821044] Model parameter optimization (eps = 3.000000)
[02:21:43 -30784.532032] FAST spr round 1 (radius: 25)
[02:22:23 -27699.307785] FAST spr round 2 (radius: 25)
[02:22:55 -27517.058501] FAST spr round 3 (radius: 25)
[02:23:22 -27494.641309] FAST spr round 4 (radius: 25)
[02:23:47 -27490.934210] FAST spr round 5 (radius: 25)
[02:24:11 -27490.933682] Model parameter optimization (eps = 1.000000)
[02:24:19 -27488.750444] SLOW spr round 1 (radius: 5)
[02:24:54 -27485.253831] SLOW spr round 2 (radius: 5)
[02:25:27 -27485.252974] SLOW spr round 3 (radius: 10)
[02:26:00 -27484.749234] SLOW spr round 4 (radius: 5)
[02:26:42 -27479.617589] SLOW spr round 5 (radius: 5)
[02:27:18 -27479.617387] SLOW spr round 6 (radius: 10)
[02:27:52 -27479.441421] SLOW spr round 7 (radius: 5)
[02:28:33 -27479.441421] SLOW spr round 8 (radius: 10)
[02:29:10 -27479.395692] SLOW spr round 9 (radius: 15)
[02:30:04 -27479.395648] SLOW spr round 10 (radius: 20)
[02:31:15 -27479.249525] SLOW spr round 11 (radius: 5)
[02:31:59 -27479.220869] SLOW spr round 12 (radius: 10)
[02:32:40 -27479.220754] SLOW spr round 13 (radius: 15)
[02:33:33 -27478.241831] SLOW spr round 14 (radius: 5)
[02:34:15 -27478.241204] SLOW spr round 15 (radius: 10)
[02:34:55 -27478.241139] SLOW spr round 16 (radius: 15)
[02:35:16] [worker #1] ML tree search #14, logLikelihood: -27481.727193
[02:35:48 -27478.241131] SLOW spr round 17 (radius: 20)
[02:36:59 -27478.241130] SLOW spr round 18 (radius: 25)
[02:38:10 -27477.791533] SLOW spr round 19 (radius: 5)
[02:38:56 -27471.600823] SLOW spr round 20 (radius: 5)
[02:39:34 -27471.600619] SLOW spr round 21 (radius: 10)
[02:40:09 -27471.600612] SLOW spr round 22 (radius: 15)
[02:41:03 -27471.600611] SLOW spr round 23 (radius: 20)
[02:42:12 -27471.600611] SLOW spr round 24 (radius: 25)
[02:43:24 -27471.600611] Model parameter optimization (eps = 0.100000)

[02:43:28] [worker #0] ML tree search #13, logLikelihood: -27471.491553

[02:43:28 -72022.312806] Initial branch length optimization
[02:43:30 -58990.377359] Model parameter optimization (eps = 10.000000)
[02:43:41 -57897.987247] AUTODETECT spr round 1 (radius: 5)
[02:44:09 -46414.175998] AUTODETECT spr round 2 (radius: 10)
[02:44:42 -37072.845408] AUTODETECT spr round 3 (radius: 15)
[02:45:21 -33675.236471] AUTODETECT spr round 4 (radius: 20)
[02:46:08 -31502.483648] AUTODETECT spr round 5 (radius: 25)
[02:47:04 -31340.836333] SPR radius for FAST iterations: 25 (autodetect)
[02:47:04 -31340.836333] Model parameter optimization (eps = 3.000000)
[02:47:11 -31264.545027] FAST spr round 1 (radius: 25)
[02:47:52 -27815.051244] FAST spr round 2 (radius: 25)
[02:48:24 -27560.997585] FAST spr round 3 (radius: 25)
[02:48:53 -27518.478463] FAST spr round 4 (radius: 25)
[02:49:18 -27508.033266] FAST spr round 5 (radius: 25)
[02:49:42 -27506.283554] FAST spr round 6 (radius: 25)
[02:50:05 -27504.964205] FAST spr round 7 (radius: 25)
[02:50:28 -27504.963652] Model parameter optimization (eps = 1.000000)
[02:50:35 -27498.268719] SLOW spr round 1 (radius: 5)
[02:51:11 -27483.432693] SLOW spr round 2 (radius: 5)
[02:51:45 -27480.852476] SLOW spr round 3 (radius: 5)
[02:52:17 -27480.852179] SLOW spr round 4 (radius: 10)
[02:52:50 -27479.763360] SLOW spr round 5 (radius: 5)
[02:53:33 -27472.232920] SLOW spr round 6 (radius: 5)
[02:54:09 -27471.720721] SLOW spr round 7 (radius: 5)
[02:54:43 -27471.592355] SLOW spr round 8 (radius: 5)
[02:55:16 -27471.592220] SLOW spr round 9 (radius: 10)
[02:55:50 -27469.920495] SLOW spr round 10 (radius: 5)
[02:56:32 -27469.093539] SLOW spr round 11 (radius: 5)
[02:57:08 -27469.093349] SLOW spr round 12 (radius: 10)
[02:57:43 -27467.862467] SLOW spr round 13 (radius: 5)
[02:58:24 -27467.862336] SLOW spr round 14 (radius: 10)
[02:59:01 -27467.672336] SLOW spr round 15 (radius: 5)
[02:59:43 -27466.001712] SLOW spr round 16 (radius: 5)
[03:00:19 -27466.001253] SLOW spr round 17 (radius: 10)
[03:00:53 -27465.942796] SLOW spr round 18 (radius: 15)
[03:01:53 -27464.397709] SLOW spr round 19 (radius: 5)
[03:02:33] [worker #1] ML tree search #16, logLikelihood: -27515.858334
[03:02:38 -27457.899190] SLOW spr round 20 (radius: 5)
[03:03:16 -27454.786496] SLOW spr round 21 (radius: 5)
[03:03:51 -27454.267442] SLOW spr round 22 (radius: 5)
[03:04:24 -27454.267355] SLOW spr round 23 (radius: 10)
[03:04:57 -27454.141138] SLOW spr round 24 (radius: 5)
[03:05:39 -27454.136690] SLOW spr round 25 (radius: 10)
[03:06:16 -27454.136512] SLOW spr round 26 (radius: 15)
[03:07:13 -27454.136505] SLOW spr round 27 (radius: 20)
[03:08:34 -27454.071960] SLOW spr round 28 (radius: 25)
[03:09:54 -27454.071555] Model parameter optimization (eps = 0.100000)

[03:10:01] [worker #0] ML tree search #15, logLikelihood: -27452.094115

[03:10:01 -71921.007201] Initial branch length optimization
[03:10:02 -59619.407317] Model parameter optimization (eps = 10.000000)
[03:10:17 -58529.907234] AUTODETECT spr round 1 (radius: 5)
[03:10:44 -46784.535085] AUTODETECT spr round 2 (radius: 10)
[03:11:17 -40229.298488] AUTODETECT spr round 3 (radius: 15)
[03:11:54 -35265.361624] AUTODETECT spr round 4 (radius: 20)
[03:12:35 -33395.843452] AUTODETECT spr round 5 (radius: 25)
[03:13:25 -32020.187645] SPR radius for FAST iterations: 25 (autodetect)
[03:13:25 -32020.187645] Model parameter optimization (eps = 3.000000)
[03:13:34 -31930.400924] FAST spr round 1 (radius: 25)
[03:14:17 -27973.730046] FAST spr round 2 (radius: 25)
[03:14:50 -27657.030377] FAST spr round 3 (radius: 25)
[03:15:19 -27553.773545] FAST spr round 4 (radius: 25)
[03:15:45 -27544.385731] FAST spr round 5 (radius: 25)
[03:16:10 -27541.556947] FAST spr round 6 (radius: 25)
[03:16:33 -27541.555626] Model parameter optimization (eps = 1.000000)
[03:16:41 -27537.448455] SLOW spr round 1 (radius: 5)
[03:17:16 -27530.955190] SLOW spr round 2 (radius: 5)
[03:17:50 -27530.416884] SLOW spr round 3 (radius: 5)
[03:18:23 -27526.665439] SLOW spr round 4 (radius: 5)
[03:18:56 -27526.664968] SLOW spr round 5 (radius: 10)
[03:19:29 -27521.340422] SLOW spr round 6 (radius: 5)
[03:20:11 -27520.981957] SLOW spr round 7 (radius: 5)
[03:20:48 -27519.542683] SLOW spr round 8 (radius: 5)
[03:21:23 -27518.105705] SLOW spr round 9 (radius: 5)
[03:21:57 -27517.927504] SLOW spr round 10 (radius: 5)
[03:22:29 -27517.927182] SLOW spr round 11 (radius: 10)
[03:23:02 -27517.715569] SLOW spr round 12 (radius: 5)
[03:23:43 -27517.249620] SLOW spr round 13 (radius: 5)
[03:24:19 -27517.249266] SLOW spr round 14 (radius: 10)
[03:24:53 -27516.541354] SLOW spr round 15 (radius: 5)
[03:25:35 -27516.062316] SLOW spr round 16 (radius: 5)
[03:26:11 -27515.929488] SLOW spr round 17 (radius: 5)
[03:26:45 -27515.754996] SLOW spr round 18 (radius: 5)
[03:27:18 -27515.754982] SLOW spr round 19 (radius: 10)
[03:27:50 -27515.754982] SLOW spr round 20 (radius: 15)
[03:28:43 -27513.894172] SLOW spr round 21 (radius: 5)
[03:29:24 -27513.894144] SLOW spr round 22 (radius: 10)
[03:30:01 -27513.894144] SLOW spr round 23 (radius: 15)
[03:30:50 -27513.894144] SLOW spr round 24 (radius: 20)
[03:31:56 -27513.894144] SLOW spr round 25 (radius: 25)
[03:32:22] [worker #1] ML tree search #18, logLikelihood: -27799.917533
[03:33:12 -27511.346346] SLOW spr round 26 (radius: 5)
[03:33:56 -27504.975252] SLOW spr round 27 (radius: 5)
[03:34:35 -27504.790391] SLOW spr round 28 (radius: 5)
[03:35:10 -27504.789099] SLOW spr round 29 (radius: 10)
[03:35:43 -27504.447683] SLOW spr round 30 (radius: 5)
[03:36:26 -27499.052444] SLOW spr round 31 (radius: 5)
[03:37:03 -27497.462552] SLOW spr round 32 (radius: 5)
[03:37:37 -27497.453364] SLOW spr round 33 (radius: 10)
[03:38:09 -27497.453309] SLOW spr round 34 (radius: 15)
[03:38:59 -27497.453308] SLOW spr round 35 (radius: 20)
[03:40:03 -27497.235525] SLOW spr round 36 (radius: 5)
[03:40:47 -27497.097582] SLOW spr round 37 (radius: 5)
[03:41:24 -27497.096773] SLOW spr round 38 (radius: 10)
[03:41:58 -27496.845305] SLOW spr round 39 (radius: 5)
[03:42:38 -27496.569097] SLOW spr round 40 (radius: 5)
[03:43:14 -27496.568899] SLOW spr round 41 (radius: 10)
[03:43:47 -27496.568894] SLOW spr round 42 (radius: 15)
[03:44:37 -27496.568893] SLOW spr round 43 (radius: 20)
[03:45:42 -27496.568893] SLOW spr round 44 (radius: 25)
[03:46:58 -27496.568893] Model parameter optimization (eps = 0.100000)

[03:47:05] [worker #0] ML tree search #17, logLikelihood: -27495.325414

[03:47:05 -71457.208215] Initial branch length optimization
[03:47:07 -59133.800088] Model parameter optimization (eps = 10.000000)
[03:47:19 -58151.538566] AUTODETECT spr round 1 (radius: 5)
[03:47:47 -45968.513704] AUTODETECT spr round 2 (radius: 10)
[03:48:18 -38830.583658] AUTODETECT spr round 3 (radius: 15)
[03:48:55 -34564.885892] AUTODETECT spr round 4 (radius: 20)
[03:49:38 -31398.957974] AUTODETECT spr round 5 (radius: 25)
[03:50:25 -30880.893275] SPR radius for FAST iterations: 25 (autodetect)
[03:50:25 -30880.893275] Model parameter optimization (eps = 3.000000)
[03:50:34 -30798.560904] FAST spr round 1 (radius: 25)
[03:51:14 -27730.143221] FAST spr round 2 (radius: 25)
[03:51:46 -27537.659365] FAST spr round 3 (radius: 25)
[03:52:15 -27509.567816] FAST spr round 4 (radius: 25)
[03:52:40 -27507.935703] FAST spr round 5 (radius: 25)
[03:53:03 -27507.935655] Model parameter optimization (eps = 1.000000)
[03:53:09 -27505.341629] SLOW spr round 1 (radius: 5)
[03:53:44 -27491.071566] SLOW spr round 2 (radius: 5)
[03:54:18 -27490.197425] SLOW spr round 3 (radius: 5)
[03:54:50 -27490.114476] SLOW spr round 4 (radius: 10)
[03:55:23 -27489.157153] SLOW spr round 5 (radius: 5)
[03:56:05 -27488.848189] SLOW spr round 6 (radius: 5)
[03:56:41 -27488.847128] SLOW spr round 7 (radius: 10)
[03:57:15 -27488.846713] SLOW spr round 8 (radius: 15)
[03:57:17] [worker #1] ML tree search #20, logLikelihood: -27458.716643
[03:58:10 -27488.713250] SLOW spr round 9 (radius: 5)
[03:58:53 -27488.306881] SLOW spr round 10 (radius: 5)
[03:59:30 -27488.306505] SLOW spr round 11 (radius: 10)
[04:00:04 -27488.306499] SLOW spr round 12 (radius: 15)
[04:00:58 -27488.306498] SLOW spr round 13 (radius: 20)
[04:02:12 -27485.013715] SLOW spr round 14 (radius: 5)
[04:02:56 -27484.553536] SLOW spr round 15 (radius: 5)
[04:03:33 -27484.552443] SLOW spr round 16 (radius: 10)
[04:04:07 -27484.552325] SLOW spr round 17 (radius: 15)
[04:05:01 -27484.552304] SLOW spr round 18 (radius: 20)
[04:06:16 -27484.552300] SLOW spr round 19 (radius: 25)
[04:07:46 -27483.872983] SLOW spr round 20 (radius: 5)
[04:08:31 -27482.726587] SLOW spr round 21 (radius: 5)
[04:09:09 -27482.725773] SLOW spr round 22 (radius: 10)
[04:09:44 -27482.571693] SLOW spr round 23 (radius: 5)
[04:10:24 -27482.567402] SLOW spr round 24 (radius: 10)
[04:11:01 -27482.567144] SLOW spr round 25 (radius: 15)
[04:11:54 -27482.567122] SLOW spr round 26 (radius: 20)
[04:13:07 -27482.343529] SLOW spr round 27 (radius: 5)
[04:13:51 -27482.343189] SLOW spr round 28 (radius: 10)
[04:14:32 -27482.343163] SLOW spr round 29 (radius: 15)
[04:15:24 -27482.343160] SLOW spr round 30 (radius: 20)
[04:16:39 -27482.343160] SLOW spr round 31 (radius: 25)
[04:18:07 -27482.343160] Model parameter optimization (eps = 0.100000)

[04:18:14] [worker #0] ML tree search #19, logLikelihood: -27481.228516


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.182813,0.578792) (0.486056,0.556985) (0.184805,1.233181) (0.146327,2.703311) 
   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: -27452.094115

AIC score: 56942.188230 / AICc score: 2135702.188230 / BIC score: 59394.635143
Free parameters (model + branch lengths): 1019

WARNING: Number of free parameters (K=1019) is larger than alignment size (n=82).
         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/Q8N7N1/3_mltree/Q8N7N1.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/3_mltree/Q8N7N1.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/3_mltree/Q8N7N1.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N7N1/3_mltree/Q8N7N1.raxml.log

Analysis started: 03-Jul-2021 07:49:56 / finished: 03-Jul-2021 12:08:10

Elapsed time: 15494.567 seconds

Consumed energy: 1349.458 Wh (= 7 km in an electric car, or 34 km with an e-scooter!)