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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 17-Jul-2021 08:52:50 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/2_msa/P01704_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/2_msa/P01704_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 85 sites

WARNING: Sequences sp_P04210_LV1_CHICK_9031 and tr_R9PXM5_R9PXM5_CHICK_9031 are exactly identical!
WARNING: Sequences tr_A0A2I2YJC5_A0A2I2YJC5_GORGO_9595 and tr_A0A2I3RV96_A0A2I3RV96_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2YJC5_A0A2I2YJC5_GORGO_9595 and tr_A0A2R8ZWE5_A0A2R8ZWE5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2P3Q5_H2P3Q5_PONAB_9601 and tr_F7DFA6_F7DFA6_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2P3Q5_H2P3Q5_PONAB_9601 and tr_G8F424_G8F424_MACFA_9541 are exactly identical!
WARNING: Sequences tr_H2P3Q5_H2P3Q5_PONAB_9601 and tr_A0A096NSB6_A0A096NSB6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2P3Q5_H2P3Q5_PONAB_9601 and tr_A0A2K6AY24_A0A2K6AY24_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1SY45_G1SY45_RABIT_9986 and tr_G1TNQ1_G1TNQ1_RABIT_9986 are exactly identical!
WARNING: Sequences tr_J9P8P3_J9P8P3_CANLF_9615 and tr_J9PAD4_J9PAD4_CANLF_9615 are exactly identical!
WARNING: Sequences tr_A0A2I3R9Z7_A0A2I3R9Z7_PANTR_9598 and tr_A0A2R8ZDZ2_A0A2R8ZDZ2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RDD7_A0A2I3RDD7_PANTR_9598 and tr_A0A2R8ZFI5_A0A2R8ZFI5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RN78_A0A2I3RN78_PANTR_9598 and sp_P01717_LV325_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3SHS2_A0A2I3SHS2_PANTR_9598 and tr_A0A2R8ZYV0_A0A2R8ZYV0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SNA4_A0A2I3SNA4_PANTR_9598 and tr_A0A2R8ZCR8_A0A2R8ZCR8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SR69_A0A2I3SR69_PANTR_9598 and tr_A0A2R8ZB48_A0A2R8ZB48_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SXH8_A0A2I3SXH8_PANTR_9598 and tr_A0A2R9AKM0_A0A2R9AKM0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TAX1_A0A2I3TAX1_PANTR_9598 and tr_A0A2R9AKE1_A0A2R9AKE1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TFJ4_A0A2I3TFJ4_PANTR_9598 and tr_A0A2R8ZHW3_A0A2R8ZHW3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TUR2_A0A2I3TUR2_PANTR_9598 and tr_A0A2R8ZX92_A0A2R8ZX92_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5NTI7_W5NTI7_SHEEP_9940 and tr_W5PSQ7_W5PSQ7_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_P01593_KVD33_HUMAN_9606 and sp_P01594_KV133_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A1D5Q0H3_A0A1D5Q0H3_MACMU_9544 and tr_G7PHD1_G7PHD1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QR47_A0A1D5QR47_MACMU_9544 and tr_G8F2W8_G8F2W8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QYP1_A0A1D5QYP1_MACMU_9544 and tr_A0A2K5NIZ8_A0A2K5NIZ8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QYP1_A0A1D5QYP1_MACMU_9544 and tr_A0A2K6A7I7_A0A2K6A7I7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7DFB4_F7DFB4_MACMU_9544 and tr_G7PHC5_G7PHC5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7F215_F7F215_MACMU_9544 and tr_A0A2K6ARQ7_A0A2K6ARQ7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H9H2Y9_H9H2Y9_MACMU_9544 and tr_A0A2K6AZH8_A0A2K6AZH8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H9H4S2_H9H4S2_MACMU_9544 and tr_H9H5B4_H9H5B4_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H9H4U1_H9H4U1_MACMU_9544 and tr_A0A2K6CQN5_A0A2K6CQN5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_K7FL26_K7FL26_PELSI_13735 and tr_K7GF69_K7GF69_PELSI_13735 are exactly identical!
WARNING: Sequences tr_F6Q6Y9_F6Q6Y9_XENTR_8364 and tr_F6S9Q2_F6S9Q2_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A2R8MJT0_A0A2R8MJT0_CALJA_9483 and tr_A0A2R8P774_A0A2R8P774_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G7PHC9_G7PHC9_MACFA_9541 and tr_G8F635_G8F635_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A096NGH2_A0A096NGH2_PAPAN_9555 and tr_A0A2K5NS08_A0A2K5NS08_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NRF9_A0A096NRF9_PAPAN_9555 and tr_A0A2K6ADQ1_A0A2K6ADQ1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3LTQ8_A0A2I3LTQ8_PAPAN_9555 and tr_A0A2K5XTR1_A0A2K5XTR1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9RN59_A0A0D9RN59_CHLSB_60711 and tr_A0A0D9RN85_A0A0D9RN85_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2K5KMJ7_A0A2K5KMJ7_CERAT_9531 and tr_A0A2K5XYB4_A0A2K5XYB4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5KNK7_A0A2K5KNK7_CERAT_9531 and tr_A0A2K6BZM9_A0A2K6BZM9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2K5KTZ1_A0A2K5KTZ1_CERAT_9531 and tr_A0A2K5Z201_A0A2K5Z201_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5LP36_A0A2K5LP36_CERAT_9531 and tr_A0A2K5ZIV8_A0A2K5ZIV8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K6AZJ8_A0A2K6AZJ8_MACNE_9545 and tr_A0A2K6B9E1_A0A2K6B9E1_MACNE_9545 are exactly identical!
WARNING: Duplicate sequences found: 43

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.raxml.reduced.phy

Alignment comprises 1 partitions and 85 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 85 / 85
Gaps: 1.24 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -115084.198526] Initial branch length optimization
[00:00:02 -101433.219493] Model parameter optimization (eps = 10.000000)
[00:00:23 -101109.294141] AUTODETECT spr round 1 (radius: 5)
[00:02:10 -74227.393399] AUTODETECT spr round 2 (radius: 10)
[00:04:03 -55718.777911] AUTODETECT spr round 3 (radius: 15)
[00:06:06 -47367.658107] AUTODETECT spr round 4 (radius: 20)
[00:08:42 -44754.237904] AUTODETECT spr round 5 (radius: 25)
[00:11:22 -43886.438814] SPR radius for FAST iterations: 25 (autodetect)
[00:11:22 -43886.438814] Model parameter optimization (eps = 3.000000)
[00:11:37 -43614.444801] FAST spr round 1 (radius: 25)
[00:13:40 -38437.853218] FAST spr round 2 (radius: 25)
[00:15:23 -38019.504646] FAST spr round 3 (radius: 25)
[00:16:59 -37954.330431] FAST spr round 4 (radius: 25)
[00:18:30 -37944.698570] FAST spr round 5 (radius: 25)
[00:19:54 -37942.726055] FAST spr round 6 (radius: 25)
[00:21:16 -37942.725638] Model parameter optimization (eps = 1.000000)
[00:21:30 -37927.389426] SLOW spr round 1 (radius: 5)
[00:23:19 -37914.028800] SLOW spr round 2 (radius: 5)
[00:25:06 -37910.452621] SLOW spr round 3 (radius: 5)
[00:26:47 -37910.451359] SLOW spr round 4 (radius: 10)
[00:28:28 -37906.168503] SLOW spr round 5 (radius: 5)
[00:30:34 -37898.816882] SLOW spr round 6 (radius: 5)
[00:32:30 -37896.458230] SLOW spr round 7 (radius: 5)
[00:34:17 -37895.234569] SLOW spr round 8 (radius: 5)
[00:36:00 -37895.233797] SLOW spr round 9 (radius: 10)
[00:37:41 -37893.845048] SLOW spr round 10 (radius: 5)
[00:39:51 -37888.603680] SLOW spr round 11 (radius: 5)
[00:41:46 -37887.706846] SLOW spr round 12 (radius: 5)
[00:43:33 -37887.706842] SLOW spr round 13 (radius: 10)
[00:45:14 -37887.000408] SLOW spr round 14 (radius: 5)
[00:47:21 -37887.000407] SLOW spr round 15 (radius: 10)
[00:49:11 -37881.133930] SLOW spr round 16 (radius: 5)
[00:51:19 -37874.918736] SLOW spr round 17 (radius: 5)
[00:53:11 -37874.918704] SLOW spr round 18 (radius: 10)
[00:54:53 -37874.918704] SLOW spr round 19 (radius: 15)
[00:56:45] [worker #1] ML tree search #2, logLikelihood: -37957.246478
[00:57:16 -37873.390755] SLOW spr round 20 (radius: 5)
[00:59:23 -37873.390722] SLOW spr round 21 (radius: 10)
[01:01:13 -37873.390722] SLOW spr round 22 (radius: 15)
[01:03:30 -37873.390722] SLOW spr round 23 (radius: 20)
[01:06:52 -37872.445836] SLOW spr round 24 (radius: 5)
[01:09:01 -37872.445803] SLOW spr round 25 (radius: 10)
[01:10:53 -37872.445803] SLOW spr round 26 (radius: 15)
[01:13:10 -37872.445803] SLOW spr round 27 (radius: 20)
[01:16:32 -37872.445803] SLOW spr round 28 (radius: 25)
[01:20:47 -37871.870668] SLOW spr round 29 (radius: 5)
[01:22:56 -37871.870668] SLOW spr round 30 (radius: 10)
[01:24:49 -37871.870668] SLOW spr round 31 (radius: 15)
[01:27:03 -37871.870668] SLOW spr round 32 (radius: 20)
[01:30:24 -37871.870668] SLOW spr round 33 (radius: 25)
[01:34:37 -37871.870668] Model parameter optimization (eps = 0.100000)

[01:34:45] [worker #0] ML tree search #1, logLikelihood: -37871.461442

[01:34:45 -115329.036370] Initial branch length optimization
[01:34:48 -101112.435807] Model parameter optimization (eps = 10.000000)
[01:35:15 -100840.457635] AUTODETECT spr round 1 (radius: 5)
[01:37:03 -75737.964290] AUTODETECT spr round 2 (radius: 10)
[01:39:01 -56412.372268] AUTODETECT spr round 3 (radius: 15)
[01:40:59 -48249.189069] AUTODETECT spr round 4 (radius: 20)
[01:43:19 -46017.992204] AUTODETECT spr round 5 (radius: 25)
[01:46:13 -45394.198609] SPR radius for FAST iterations: 25 (autodetect)
[01:46:13 -45394.198609] Model parameter optimization (eps = 3.000000)
[01:46:28 -45104.357660] FAST spr round 1 (radius: 25)
[01:48:40 -39235.285293] FAST spr round 2 (radius: 25)
[01:50:26 -38924.830445] FAST spr round 3 (radius: 25)
[01:52:01 -38896.229692] FAST spr round 4 (radius: 25)
[01:53:28 -38885.991239] FAST spr round 5 (radius: 25)
[01:54:53 -38883.328547] FAST spr round 6 (radius: 25)
[01:56:16 -38883.328043] Model parameter optimization (eps = 1.000000)
[01:56:29 -38867.745718] SLOW spr round 1 (radius: 5)
[01:58:20 -38842.502372] SLOW spr round 2 (radius: 5)
[02:00:05 -38838.095068] SLOW spr round 3 (radius: 5)
[02:01:46 -38838.094958] SLOW spr round 4 (radius: 10)
[02:03:28 -38833.058283] SLOW spr round 5 (radius: 5)
[02:05:35 -38830.045104] SLOW spr round 6 (radius: 5)
[02:07:27 -38830.045100] SLOW spr round 7 (radius: 10)
[02:09:12 -38829.337566] SLOW spr round 8 (radius: 5)
[02:11:16 -38829.337496] SLOW spr round 9 (radius: 10)
[02:13:06 -38829.337496] SLOW spr round 10 (radius: 15)
[02:15:30 -38828.017524] SLOW spr round 11 (radius: 5)
[02:17:39 -38824.824435] SLOW spr round 12 (radius: 5)
[02:19:33 -38824.824376] SLOW spr round 13 (radius: 10)
[02:21:17 -38824.824375] SLOW spr round 14 (radius: 15)
[02:23:52 -38668.443970] SLOW spr round 15 (radius: 5)
[02:26:04 -38129.503918] SLOW spr round 16 (radius: 5)
[02:28:00 -37992.126724] SLOW spr round 17 (radius: 5)
[02:29:50 -37944.110449] SLOW spr round 18 (radius: 5)
[02:31:32 -37944.110447] SLOW spr round 19 (radius: 10)
[02:33:15 -37881.372164] SLOW spr round 20 (radius: 5)
[02:35:20 -37875.554464] SLOW spr round 21 (radius: 5)
[02:37:10 -37875.553538] SLOW spr round 22 (radius: 10)
[02:38:52 -37875.553520] SLOW spr round 23 (radius: 15)
[02:39:29] [worker #1] ML tree search #4, logLikelihood: -37863.101948
[02:41:21 -37874.919873] SLOW spr round 24 (radius: 5)
[02:43:29 -37874.919873] SLOW spr round 25 (radius: 10)
[02:45:20 -37874.919873] SLOW spr round 26 (radius: 15)
[02:47:44 -37874.919873] SLOW spr round 27 (radius: 20)
[02:51:39 -37874.919873] SLOW spr round 28 (radius: 25)
[02:56:50 -37874.919873] Model parameter optimization (eps = 0.100000)

[02:56:58] [worker #0] ML tree search #3, logLikelihood: -37873.698755

[02:56:58 -114571.035598] Initial branch length optimization
[02:56:59 -101121.239076] Model parameter optimization (eps = 10.000000)
[02:57:22 -100683.474213] AUTODETECT spr round 1 (radius: 5)
[02:59:08 -75053.529563] AUTODETECT spr round 2 (radius: 10)
[03:01:05 -55156.645674] AUTODETECT spr round 3 (radius: 15)
[03:03:18 -46088.093501] AUTODETECT spr round 4 (radius: 20)
[03:05:57 -44648.561893] AUTODETECT spr round 5 (radius: 25)
[03:08:51 -44405.031480] SPR radius for FAST iterations: 25 (autodetect)
[03:08:51 -44405.031480] Model parameter optimization (eps = 3.000000)
[03:09:11 -44061.175804] FAST spr round 1 (radius: 25)
[03:11:18 -38606.926069] FAST spr round 2 (radius: 25)
[03:12:57 -38020.626886] FAST spr round 3 (radius: 25)
[03:14:26 -37964.928042] FAST spr round 4 (radius: 25)
[03:15:53 -37943.011127] FAST spr round 5 (radius: 25)
[03:17:14 -37942.596715] FAST spr round 6 (radius: 25)
[03:18:34 -37942.270519] FAST spr round 7 (radius: 25)
[03:19:54 -37942.270519] Model parameter optimization (eps = 1.000000)
[03:20:11 -37930.702403] SLOW spr round 1 (radius: 5)
[03:21:57 -37910.797485] SLOW spr round 2 (radius: 5)
[03:23:40 -37908.424912] SLOW spr round 3 (radius: 5)
[03:25:20 -37903.665602] SLOW spr round 4 (radius: 5)
[03:26:58 -37903.665552] SLOW spr round 5 (radius: 10)
[03:28:37 -37898.621565] SLOW spr round 6 (radius: 5)
[03:30:38 -37898.621492] SLOW spr round 7 (radius: 10)
[03:32:25 -37897.165663] SLOW spr round 8 (radius: 5)
[03:34:24 -37896.934136] SLOW spr round 9 (radius: 5)
[03:36:11 -37896.933830] SLOW spr round 10 (radius: 10)
[03:37:53 -37895.853559] SLOW spr round 11 (radius: 5)
[03:39:55 -37895.021087] SLOW spr round 12 (radius: 5)
[03:41:44 -37895.021027] SLOW spr round 13 (radius: 10)
[03:43:25 -37893.982038] SLOW spr round 14 (radius: 5)
[03:45:26 -37891.884987] SLOW spr round 15 (radius: 5)
[03:47:14 -37891.884987] SLOW spr round 16 (radius: 10)
[03:48:55 -37891.283794] SLOW spr round 17 (radius: 5)
[03:50:56 -37890.734138] SLOW spr round 18 (radius: 5)
[03:52:44 -37890.734137] SLOW spr round 19 (radius: 10)
[03:54:25 -37890.734137] SLOW spr round 20 (radius: 15)
[03:56:48 -37889.251503] SLOW spr round 21 (radius: 5)
[03:58:52 -37889.251474] SLOW spr round 22 (radius: 10)
[04:00:41 -37889.251473] SLOW spr round 23 (radius: 15)
[04:02:58 -37889.251473] SLOW spr round 24 (radius: 20)
[04:05:16] [worker #1] ML tree search #6, logLikelihood: -37908.873738
[04:06:38 -37889.251473] SLOW spr round 25 (radius: 25)
[04:11:41 -37889.251473] Model parameter optimization (eps = 0.100000)

[04:11:48] [worker #0] ML tree search #5, logLikelihood: -37888.960382

[04:11:48 -114302.266447] Initial branch length optimization
[04:11:50 -101104.432883] Model parameter optimization (eps = 10.000000)
[04:12:17 -100731.591106] AUTODETECT spr round 1 (radius: 5)
[04:14:05 -74569.519204] AUTODETECT spr round 2 (radius: 10)
[04:16:00 -53719.754813] AUTODETECT spr round 3 (radius: 15)
[04:18:01 -47197.268707] AUTODETECT spr round 4 (radius: 20)
[04:20:34 -44954.905725] AUTODETECT spr round 5 (radius: 25)
[04:23:13 -44414.262210] SPR radius for FAST iterations: 25 (autodetect)
[04:23:13 -44414.262210] Model parameter optimization (eps = 3.000000)
[04:23:32 -44092.970471] FAST spr round 1 (radius: 25)
[04:25:38 -38415.258758] FAST spr round 2 (radius: 25)
[04:27:21 -38024.235085] FAST spr round 3 (radius: 25)
[04:28:58 -37960.228610] FAST spr round 4 (radius: 25)
[04:30:23 -37950.815074] FAST spr round 5 (radius: 25)
[04:31:46 -37949.969045] FAST spr round 6 (radius: 25)
[04:33:09 -37949.597356] FAST spr round 7 (radius: 25)
[04:34:30 -37949.597355] Model parameter optimization (eps = 1.000000)
[04:34:46 -37937.570990] SLOW spr round 1 (radius: 5)
[04:36:33 -37924.041744] SLOW spr round 2 (radius: 5)
[04:38:19 -37922.975139] SLOW spr round 3 (radius: 5)
[04:40:01 -37921.570629] SLOW spr round 4 (radius: 5)
[04:41:42 -37921.570628] SLOW spr round 5 (radius: 10)
[04:43:23 -37917.204626] SLOW spr round 6 (radius: 5)
[04:45:30 -37912.762847] SLOW spr round 7 (radius: 5)
[04:47:24 -37910.041226] SLOW spr round 8 (radius: 5)
[04:49:09 -37910.041179] SLOW spr round 9 (radius: 10)
[04:50:52 -37907.702471] SLOW spr round 10 (radius: 5)
[04:52:55 -37907.702469] SLOW spr round 11 (radius: 10)
[04:54:42 -37907.288222] SLOW spr round 12 (radius: 5)
[04:56:43 -37907.287637] SLOW spr round 13 (radius: 10)
[04:58:30 -37907.097053] SLOW spr round 14 (radius: 5)
[05:00:31 -37906.962760] SLOW spr round 15 (radius: 5)
[05:02:22 -37906.962712] SLOW spr round 16 (radius: 10)
[05:04:04 -37906.962712] SLOW spr round 17 (radius: 15)
[05:06:27 -37905.864122] SLOW spr round 18 (radius: 5)
[05:08:37 -37899.584959] SLOW spr round 19 (radius: 5)
[05:10:31 -37899.584420] SLOW spr round 20 (radius: 10)
[05:12:13 -37899.584386] SLOW spr round 21 (radius: 15)
[05:14:34 -37899.584381] SLOW spr round 22 (radius: 20)
[05:18:16 -37899.584381] SLOW spr round 23 (radius: 25)
[05:23:26 -37899.584381] Model parameter optimization (eps = 0.100000)

[05:23:33] [worker #0] ML tree search #7, logLikelihood: -37899.231321

[05:23:33 -114705.749867] Initial branch length optimization
[05:23:34 -101166.258051] Model parameter optimization (eps = 10.000000)
[05:24:05 -100814.155633] AUTODETECT spr round 1 (radius: 5)
[05:25:50 -74666.216981] AUTODETECT spr round 2 (radius: 10)
[05:27:47 -55302.180995] AUTODETECT spr round 3 (radius: 15)
[05:29:49 -48934.400044] AUTODETECT spr round 4 (radius: 20)
[05:32:13 -46069.634045] AUTODETECT spr round 5 (radius: 25)
[05:35:09 -44883.893149] SPR radius for FAST iterations: 25 (autodetect)
[05:35:09 -44883.893149] Model parameter optimization (eps = 3.000000)
[05:35:25 -44619.260796] FAST spr round 1 (radius: 25)
[05:37:36 -38395.409681] FAST spr round 2 (radius: 25)
[05:39:17 -38030.718632] FAST spr round 3 (radius: 25)
[05:40:43] [worker #1] ML tree search #8, logLikelihood: -37911.233018
[05:40:48 -37979.870069] FAST spr round 4 (radius: 25)
[05:42:14 -37972.153912] FAST spr round 5 (radius: 25)
[05:43:36 -37970.472297] FAST spr round 6 (radius: 25)
[05:44:57 -37970.472297] Model parameter optimization (eps = 1.000000)
[05:45:10 -37954.062664] SLOW spr round 1 (radius: 5)
[05:46:58 -37936.126294] SLOW spr round 2 (radius: 5)
[05:48:41 -37932.922380] SLOW spr round 3 (radius: 5)
[05:50:25 -37932.684381] SLOW spr round 4 (radius: 5)
[05:52:09 -37928.879382] SLOW spr round 5 (radius: 5)
[05:53:52 -37926.093302] SLOW spr round 6 (radius: 5)
[05:55:33 -37925.397975] SLOW spr round 7 (radius: 5)
[05:57:12 -37925.397963] SLOW spr round 8 (radius: 10)
[05:58:54 -37918.221472] SLOW spr round 9 (radius: 5)
[06:01:01 -37914.070201] SLOW spr round 10 (radius: 5)
[06:02:54 -37913.222618] SLOW spr round 11 (radius: 5)
[06:04:39 -37910.869895] SLOW spr round 12 (radius: 5)
[06:06:21 -37910.869887] SLOW spr round 13 (radius: 10)
[06:08:02 -37908.331417] SLOW spr round 14 (radius: 5)
[06:10:06 -37904.459521] SLOW spr round 15 (radius: 5)
[06:11:57 -37904.459510] SLOW spr round 16 (radius: 10)
[06:13:38 -37902.365826] SLOW spr round 17 (radius: 5)
[06:15:41 -37902.365789] SLOW spr round 18 (radius: 10)
[06:17:27 -37902.365789] SLOW spr round 19 (radius: 15)
[06:19:43 -37901.421298] SLOW spr round 20 (radius: 5)
[06:21:50 -37900.760875] SLOW spr round 21 (radius: 5)
[06:23:42 -37900.760867] SLOW spr round 22 (radius: 10)
[06:25:24 -37900.760867] SLOW spr round 23 (radius: 15)
[06:27:42 -37900.760867] SLOW spr round 24 (radius: 20)
[06:30:44 -37900.760867] SLOW spr round 25 (radius: 25)
[06:34:19 -37900.760867] Model parameter optimization (eps = 0.100000)

[06:34:28] [worker #0] ML tree search #9, logLikelihood: -37899.549861

[06:34:28 -114454.331000] Initial branch length optimization
[06:34:30 -100941.619752] Model parameter optimization (eps = 10.000000)
[06:35:00 -100601.024313] AUTODETECT spr round 1 (radius: 5)
[06:36:47 -74973.054102] AUTODETECT spr round 2 (radius: 10)
[06:38:42 -54227.380509] AUTODETECT spr round 3 (radius: 15)
[06:40:43 -47359.362796] AUTODETECT spr round 4 (radius: 20)
[06:43:02 -44791.970237] AUTODETECT spr round 5 (radius: 25)
[06:45:48 -43969.392823] SPR radius for FAST iterations: 25 (autodetect)
[06:45:48 -43969.392823] Model parameter optimization (eps = 3.000000)
[06:46:04 -43691.142493] FAST spr round 1 (radius: 25)
[06:48:05 -38403.577536] FAST spr round 2 (radius: 25)
[06:49:45 -38052.109532] FAST spr round 3 (radius: 25)
[06:51:16 -37998.451657] FAST spr round 4 (radius: 25)
[06:52:42 -37991.060119] FAST spr round 5 (radius: 25)
[06:54:05 -37982.201459] FAST spr round 6 (radius: 25)
[06:55:26 -37982.201458] Model parameter optimization (eps = 1.000000)
[06:55:39 -37962.893804] SLOW spr round 1 (radius: 5)
[06:57:26 -37949.428168] SLOW spr round 2 (radius: 5)
[06:59:11 -37945.560712] SLOW spr round 3 (radius: 5)
[07:00:55 -37936.699020] SLOW spr round 4 (radius: 5)
[07:02:37 -37936.351315] SLOW spr round 5 (radius: 5)
[07:04:15 -37936.097400] SLOW spr round 6 (radius: 5)
[07:05:52 -37936.097393] SLOW spr round 7 (radius: 10)
[07:07:34 -37930.134054] SLOW spr round 8 (radius: 5)
[07:09:38 -37926.329864] SLOW spr round 9 (radius: 5)
[07:11:31 -37921.862835] SLOW spr round 10 (radius: 5)
[07:13:15 -37921.862808] SLOW spr round 11 (radius: 10)
[07:14:55 -37921.485292] SLOW spr round 12 (radius: 5)
[07:16:57 -37916.117591] SLOW spr round 13 (radius: 5)
[07:18:49 -37912.447191] SLOW spr round 14 (radius: 5)
[07:20:32 -37912.447018] SLOW spr round 15 (radius: 10)
[07:22:12 -37912.447017] SLOW spr round 16 (radius: 15)
[07:22:57] [worker #1] ML tree search #10, logLikelihood: -37909.170768
[07:24:39 -37903.906732] SLOW spr round 17 (radius: 5)
[07:26:44 -37903.906676] SLOW spr round 18 (radius: 10)
[07:28:35 -37903.759922] SLOW spr round 19 (radius: 5)
[07:30:34 -37903.759922] SLOW spr round 20 (radius: 10)
[07:32:19 -37903.759922] SLOW spr round 21 (radius: 15)
[07:34:41 -37903.759922] SLOW spr round 22 (radius: 20)
[07:38:06 -37903.139490] SLOW spr round 23 (radius: 5)
[07:40:17 -37900.404891] SLOW spr round 24 (radius: 5)
[07:42:11 -37900.402729] SLOW spr round 25 (radius: 10)
[07:43:55 -37900.280632] SLOW spr round 26 (radius: 5)
[07:45:58 -37899.447897] SLOW spr round 27 (radius: 5)
[07:47:47 -37899.447897] SLOW spr round 28 (radius: 10)
[07:49:29 -37899.447897] SLOW spr round 29 (radius: 15)
[07:51:54 -37899.447897] SLOW spr round 30 (radius: 20)
[07:55:15 -37899.226278] SLOW spr round 31 (radius: 5)
[07:57:25 -37896.751346] SLOW spr round 32 (radius: 5)
[07:59:21 -37896.618700] SLOW spr round 33 (radius: 5)
[08:01:06 -37896.618699] SLOW spr round 34 (radius: 10)
[08:02:47 -37896.578407] SLOW spr round 35 (radius: 15)
[08:05:11 -37896.578372] SLOW spr round 36 (radius: 20)
[08:08:35 -37896.578367] SLOW spr round 37 (radius: 25)
[08:12:56 -37894.813384] SLOW spr round 38 (radius: 5)
[08:15:03 -37894.813365] SLOW spr round 39 (radius: 10)
[08:16:56 -37894.813365] SLOW spr round 40 (radius: 15)
[08:19:11 -37894.813365] SLOW spr round 41 (radius: 20)
[08:22:40 -37894.813365] SLOW spr round 42 (radius: 25)
[08:26:57 -37894.813365] Model parameter optimization (eps = 0.100000)

[08:27:04] [worker #0] ML tree search #11, logLikelihood: -37894.312020

[08:27:04 -114638.162034] Initial branch length optimization
[08:27:06 -101077.260065] Model parameter optimization (eps = 10.000000)
[08:27:29 -100741.417847] AUTODETECT spr round 1 (radius: 5)
[08:29:17 -74393.056972] AUTODETECT spr round 2 (radius: 10)
[08:31:18 -56264.880367] AUTODETECT spr round 3 (radius: 15)
[08:33:20 -50743.178268] AUTODETECT spr round 4 (radius: 20)
[08:35:36 -47439.272408] AUTODETECT spr round 5 (radius: 25)
[08:37:59 -45435.492565] SPR radius for FAST iterations: 25 (autodetect)
[08:37:59 -45435.492565] Model parameter optimization (eps = 3.000000)
[08:38:15 -45117.119760] FAST spr round 1 (radius: 25)
[08:40:22 -38552.800128] FAST spr round 2 (radius: 25)
[08:42:06 -38123.397227] FAST spr round 3 (radius: 25)
[08:43:40 -38062.251569] FAST spr round 4 (radius: 25)
[08:45:09 -38034.335850] FAST spr round 5 (radius: 25)
[08:46:33 -38029.938638] FAST spr round 6 (radius: 25)
[08:47:55 -38029.938408] Model parameter optimization (eps = 1.000000)
[08:48:12 -38017.085180] SLOW spr round 1 (radius: 5)
[08:50:03 -38000.291584] SLOW spr round 2 (radius: 5)
[08:51:51 -37993.038741] SLOW spr round 3 (radius: 5)
[08:53:34 -37992.994076] SLOW spr round 4 (radius: 10)
[08:55:16 -37990.196969] SLOW spr round 5 (radius: 5)
[08:57:20 -37989.219762] SLOW spr round 6 (radius: 5)
[08:59:11 -37989.219761] SLOW spr round 7 (radius: 10)
[09:00:52 -37989.038226] SLOW spr round 8 (radius: 5)
[09:02:59 -37983.455725] SLOW spr round 9 (radius: 5)
[09:04:50 -37983.455683] SLOW spr round 10 (radius: 10)
[09:06:31 -37983.455683] SLOW spr round 11 (radius: 15)
[09:08:53 -37981.519394] SLOW spr round 12 (radius: 5)
[09:11:02 -37981.519313] SLOW spr round 13 (radius: 10)
[09:12:53 -37981.519312] SLOW spr round 14 (radius: 15)
[09:15:10 -37980.791323] SLOW spr round 15 (radius: 5)
[09:17:18 -37978.483108] SLOW spr round 16 (radius: 5)
[09:18:30] [worker #1] ML tree search #12, logLikelihood: -37904.074579
[09:19:13 -37978.179232] SLOW spr round 17 (radius: 5)
[09:21:01 -37976.018734] SLOW spr round 18 (radius: 5)
[09:22:44 -37975.010920] SLOW spr round 19 (radius: 5)
[09:24:25 -37974.609327] SLOW spr round 20 (radius: 5)
[09:26:06 -37974.609308] SLOW spr round 21 (radius: 10)
[09:27:45 -37974.609308] SLOW spr round 22 (radius: 15)
[09:30:13 -37974.233807] SLOW spr round 23 (radius: 5)
[09:32:21 -37973.173565] SLOW spr round 24 (radius: 5)
[09:34:15 -37973.173563] SLOW spr round 25 (radius: 10)
[09:35:58 -37973.173563] SLOW spr round 26 (radius: 15)
[09:38:20 -37973.173563] SLOW spr round 27 (radius: 20)
[09:41:48 -37970.476520] SLOW spr round 28 (radius: 5)
[09:44:01 -37962.255540] SLOW spr round 29 (radius: 5)
[09:45:59 -37957.980710] SLOW spr round 30 (radius: 5)
[09:47:46 -37957.980411] SLOW spr round 31 (radius: 10)
[09:49:26 -37957.632068] SLOW spr round 32 (radius: 5)
[09:51:28 -37957.632059] SLOW spr round 33 (radius: 10)
[09:53:16 -37957.632059] SLOW spr round 34 (radius: 15)
[09:55:34 -37957.632059] SLOW spr round 35 (radius: 20)
[09:59:02 -37957.632059] SLOW spr round 36 (radius: 25)
[10:03:32 -37957.632059] Model parameter optimization (eps = 0.100000)

[10:03:38] [worker #0] ML tree search #13, logLikelihood: -37957.541509

[10:03:38 -114281.625291] Initial branch length optimization
[10:03:40 -100924.760113] Model parameter optimization (eps = 10.000000)
[10:04:08 -100559.021748] AUTODETECT spr round 1 (radius: 5)
[10:05:53 -74810.702457] AUTODETECT spr round 2 (radius: 10)
[10:07:51 -55129.912760] AUTODETECT spr round 3 (radius: 15)
[10:09:56 -46301.026889] AUTODETECT spr round 4 (radius: 20)
[10:12:27 -44075.954595] AUTODETECT spr round 5 (radius: 25)
[10:15:27 -43346.310746] SPR radius for FAST iterations: 25 (autodetect)
[10:15:27 -43346.310746] Model parameter optimization (eps = 3.000000)
[10:15:45 -43069.061909] FAST spr round 1 (radius: 25)
[10:17:51 -38494.277735] FAST spr round 2 (radius: 25)
[10:19:34 -38015.118594] FAST spr round 3 (radius: 25)
[10:21:06 -37981.073138] FAST spr round 4 (radius: 25)
[10:22:34 -37966.335556] FAST spr round 5 (radius: 25)
[10:23:57 -37966.332459] Model parameter optimization (eps = 1.000000)
[10:24:14 -37948.766497] SLOW spr round 1 (radius: 5)
[10:26:06 -37921.305277] SLOW spr round 2 (radius: 5)
[10:27:54 -37916.656116] SLOW spr round 3 (radius: 5)
[10:29:39 -37915.648263] SLOW spr round 4 (radius: 5)
[10:31:21 -37915.648239] SLOW spr round 5 (radius: 10)
[10:33:05 -37909.715177] SLOW spr round 6 (radius: 5)
[10:34:00] [worker #1] ML tree search #14, logLikelihood: -37881.737512
[10:35:15 -37908.221032] SLOW spr round 7 (radius: 5)
[10:37:11 -37908.221032] SLOW spr round 8 (radius: 10)
[10:38:57 -37907.431643] SLOW spr round 9 (radius: 5)
[10:41:05 -37907.431642] SLOW spr round 10 (radius: 10)
[10:42:57 -37907.416337] SLOW spr round 11 (radius: 15)
[10:45:27 -37904.810008] SLOW spr round 12 (radius: 5)
[10:47:41 -37904.375830] SLOW spr round 13 (radius: 5)
[10:49:40 -37904.375650] SLOW spr round 14 (radius: 10)
[10:51:27 -37904.375640] SLOW spr round 15 (radius: 15)
[10:53:58 -37903.797123] SLOW spr round 16 (radius: 5)
[10:56:10 -37903.797105] SLOW spr round 17 (radius: 10)
[10:58:06 -37903.797105] SLOW spr round 18 (radius: 15)
[11:00:31 -37903.681326] SLOW spr round 19 (radius: 5)
[11:02:43 -37903.681302] SLOW spr round 20 (radius: 10)
[11:04:39 -37903.681302] SLOW spr round 21 (radius: 15)
[11:07:04 -37903.681302] SLOW spr round 22 (radius: 20)
[11:10:55 -37902.121295] SLOW spr round 23 (radius: 5)
[11:13:10 -37899.264127] SLOW spr round 24 (radius: 5)
[11:15:08 -37899.264028] SLOW spr round 25 (radius: 10)
[11:16:54 -37899.264025] SLOW spr round 26 (radius: 15)
[11:19:22 -37899.264025] SLOW spr round 27 (radius: 20)
[11:23:03 -37899.264025] SLOW spr round 28 (radius: 25)
[11:28:00 -37899.264025] Model parameter optimization (eps = 0.100000)

[11:28:07] [worker #0] ML tree search #15, logLikelihood: -37899.201575

[11:28:07 -115228.321711] Initial branch length optimization
[11:28:09 -101315.921629] Model parameter optimization (eps = 10.000000)
[11:28:31 -101001.437029] AUTODETECT spr round 1 (radius: 5)
[11:30:18 -74258.311736] AUTODETECT spr round 2 (radius: 10)
[11:32:18 -55504.577406] AUTODETECT spr round 3 (radius: 15)
[11:34:21 -48204.794329] AUTODETECT spr round 4 (radius: 20)
[11:36:58 -44532.959423] AUTODETECT spr round 5 (radius: 25)
[11:39:42 -44146.575862] SPR radius for FAST iterations: 25 (autodetect)
[11:39:42 -44146.575862] Model parameter optimization (eps = 3.000000)
[11:40:03 -43854.970906] FAST spr round 1 (radius: 25)
[11:42:12 -38492.476397] FAST spr round 2 (radius: 25)
[11:43:55 -38023.872195] FAST spr round 3 (radius: 25)
[11:45:32 -37956.016706] FAST spr round 4 (radius: 25)
[11:47:01 -37945.771727] FAST spr round 5 (radius: 25)
[11:48:24 -37944.289267] FAST spr round 6 (radius: 25)
[11:49:45 -37944.289264] Model parameter optimization (eps = 1.000000)
[11:49:58 -37918.613049] SLOW spr round 1 (radius: 5)
[11:51:46 -37900.052853] SLOW spr round 2 (radius: 5)
[11:53:31 -37890.060280] SLOW spr round 3 (radius: 5)
[11:55:14 -37883.616160] SLOW spr round 4 (radius: 5)
[11:56:54 -37883.400932] SLOW spr round 5 (radius: 5)
[11:58:32 -37883.400931] SLOW spr round 6 (radius: 10)
[12:00:12 -37878.893045] SLOW spr round 7 (radius: 5)
[12:02:15 -37878.436079] SLOW spr round 8 (radius: 5)
[12:04:05 -37878.436017] SLOW spr round 9 (radius: 10)
[12:05:46 -37877.377937] SLOW spr round 10 (radius: 5)
[12:07:47 -37877.377935] SLOW spr round 11 (radius: 10)
[12:09:34 -37877.377935] SLOW spr round 12 (radius: 15)
[12:11:54 -37876.542222] SLOW spr round 13 (radius: 5)
[12:13:59 -37876.542222] SLOW spr round 14 (radius: 10)
[12:15:50 -37876.542222] SLOW spr round 15 (radius: 15)
[12:18:09 -37876.542222] SLOW spr round 16 (radius: 20)
[12:21:45 -37876.542222] SLOW spr round 17 (radius: 25)
[12:26:36 -37876.542222] Model parameter optimization (eps = 0.100000)

[12:26:43] [worker #0] ML tree search #17, logLikelihood: -37876.386606

[12:26:43 -114707.584456] Initial branch length optimization
[12:26:45 -101374.129202] Model parameter optimization (eps = 10.000000)
[12:27:18 -101056.443988] AUTODETECT spr round 1 (radius: 5)
[12:29:07 -74750.030773] AUTODETECT spr round 2 (radius: 10)
[12:31:02 -55123.053267] AUTODETECT spr round 3 (radius: 15)
[12:33:08 -47309.219395] AUTODETECT spr round 4 (radius: 20)
[12:35:28 -45137.393671] AUTODETECT spr round 5 (radius: 25)
[12:38:28 -44036.251509] SPR radius for FAST iterations: 25 (autodetect)
[12:38:28 -44036.251509] Model parameter optimization (eps = 3.000000)
[12:38:45 -43735.104529] FAST spr round 1 (radius: 25)
[12:40:52 -38463.612922] FAST spr round 2 (radius: 25)
[12:42:35 -38066.485200] FAST spr round 3 (radius: 25)
[12:44:11 -37971.472010] FAST spr round 4 (radius: 25)
[12:45:39 -37965.005691] FAST spr round 5 (radius: 25)
[12:47:01 -37965.004804] Model parameter optimization (eps = 1.000000)
[12:47:16 -37942.097858] SLOW spr round 1 (radius: 5)
[12:49:03 -37919.204835] SLOW spr round 2 (radius: 5)
[12:50:50 -37915.027032] SLOW spr round 3 (radius: 5)
[12:52:31 -37915.026449] SLOW spr round 4 (radius: 10)
[12:54:11 -37913.658974] SLOW spr round 5 (radius: 5)
[12:56:18 -37912.884846] SLOW spr round 6 (radius: 5)
[12:58:09 -37912.884337] SLOW spr round 7 (radius: 10)
[12:59:50 -37908.258893] SLOW spr round 8 (radius: 5)
[13:01:55 -37905.727109] SLOW spr round 9 (radius: 5)
[13:03:45 -37905.724504] SLOW spr round 10 (radius: 10)
[13:05:26 -37904.826999] SLOW spr round 11 (radius: 5)
[13:06:28] [worker #1] ML tree search #16, logLikelihood: -37936.271667
[13:07:27 -37904.826581] SLOW spr round 12 (radius: 10)
[13:09:13 -37904.826569] SLOW spr round 13 (radius: 15)
[13:11:36 -37902.435211] SLOW spr round 14 (radius: 5)
[13:13:42 -37902.435211] SLOW spr round 15 (radius: 10)
[13:15:32 -37902.435211] SLOW spr round 16 (radius: 15)
[13:17:52 -37902.345963] SLOW spr round 17 (radius: 20)
[13:21:26 -37902.344859] SLOW spr round 18 (radius: 25)
[13:26:00 -37902.344818] Model parameter optimization (eps = 0.100000)

[13:26:06] [worker #0] ML tree search #19, logLikelihood: -37902.302000

[14:08:11] [worker #1] ML tree search #18, logLikelihood: -37872.269607
[15:33:46] [worker #1] ML tree search #20, logLikelihood: -37963.104557

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.285462,0.468086) (0.150751,0.611724) (0.469574,0.935395) (0.094213,3.554963) 
   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: -37863.101948

AIC score: 79736.203896 / AICc score: 8123796.203896 / BIC score: 84633.719666
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=85).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01704/3_mltree/P01704.raxml.log

Analysis started: 17-Jul-2021 08:52:50 / finished: 18-Jul-2021 00:26:37

Elapsed time: 56026.683 seconds