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 12-Jul-2021 17:49:30 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/2_msa/Q9NNX9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/2_msa/Q9NNX9_trimmed_msa.fasta
[00:00:00] Loaded alignment with 99 taxa and 13 sites

WARNING: Sequences tr_A0A2I3FSN2_A0A2I3FSN2_NOMLE_61853 and tr_A0A2I3GWD8_A0A2I3GWD8_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_A0A2I3FSN2_A0A2I3FSN2_NOMLE_61853 and tr_A0A2I3HCX0_A0A2I3HCX0_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_A0A2I3FSN2_A0A2I3FSN2_NOMLE_61853 and tr_A0A2I3HQW4_A0A2I3HQW4_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_H2PUU9_H2PUU9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_H2PUV3_H2PUV3_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_H2PUV6_H2PUV6_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_H2R4T9_H2R4T9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_H2RHJ9_H2RHJ9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and sp_O14598_VCY1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and sp_Q9H320_VCX1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and sp_Q9H321_VCX3B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and sp_Q9H322_VCX2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and sp_Q9NNX9_VCX3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_F7CFL2_F7CFL2_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_A0A2I3MR06_A0A2I3MR06_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3R2B1_G3R2B1_GORGO_9595 and tr_A0A0D9RSA8_A0A0D9RSA8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_Q4D3K3_Q4D3K3_TRYCC_353153 and tr_Q4E0M7_Q4E0M7_TRYCC_353153 are exactly identical!
WARNING: Sequences tr_A0A3B1IG32_A0A3B1IG32_ASTMX_7994 and tr_A0A3B1IL17_A0A3B1IL17_ASTMX_7994 are exactly identical!
WARNING: Sequences tr_A0A3B1JGT9_A0A3B1JGT9_ASTMX_7994 and tr_A0A3B1KFR3_A0A3B1KFR3_ASTMX_7994 are exactly identical!
WARNING: Sequences tr_A0A3B1JGT9_A0A3B1JGT9_ASTMX_7994 and tr_A0A3B1KKG5_A0A3B1KKG5_ASTMX_7994 are exactly identical!
WARNING: Duplicate sequences found: 20

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/Q9NNX9/3_mltree/Q9NNX9.raxml.reduced.phy

Alignment comprises 1 partitions and 13 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 13 / 13
Gaps: 6.06 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.rba

Parallelization scheme autoconfig: 1 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 99 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 13 / 1040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -2734.368634] Initial branch length optimization
[00:00:00 -2133.988385] Model parameter optimization (eps = 10.000000)
[00:00:00 -2124.641174] AUTODETECT spr round 1 (radius: 5)
[00:00:00 -1859.997769] AUTODETECT spr round 2 (radius: 10)
[00:00:01 -1718.858078] AUTODETECT spr round 3 (radius: 15)
[00:00:02 -1647.506907] AUTODETECT spr round 4 (radius: 20)
[00:00:03 -1646.638725] AUTODETECT spr round 5 (radius: 25)
[00:00:04 -1645.073462] SPR radius for FAST iterations: 25 (autodetect)
[00:00:04 -1645.073462] Model parameter optimization (eps = 3.000000)
[00:00:04 -1621.098483] FAST spr round 1 (radius: 25)
[00:00:05 -1574.858218] FAST spr round 2 (radius: 25)
[00:00:06 -1571.979326] FAST spr round 3 (radius: 25)
[00:00:07 -1551.733876] FAST spr round 4 (radius: 25)
[00:00:08 -1546.258957] FAST spr round 5 (radius: 25)
[00:00:08 -1545.111427] FAST spr round 6 (radius: 25)
[00:00:09 -1544.559534] FAST spr round 7 (radius: 25)
[00:00:10 -1544.558302] Model parameter optimization (eps = 1.000000)
[00:00:10 -1544.553880] SLOW spr round 1 (radius: 5)
[00:00:11 -1543.899029] SLOW spr round 2 (radius: 5)
[00:00:13 -1543.898452] SLOW spr round 3 (radius: 10)
[00:00:14 -1543.128871] SLOW spr round 4 (radius: 5)
[00:00:15 -1543.127428] SLOW spr round 5 (radius: 10)
[00:00:17 -1543.127144] SLOW spr round 6 (radius: 15)
[00:00:19 -1543.127079] SLOW spr round 7 (radius: 20)
[00:00:20 -1543.127065] SLOW spr round 8 (radius: 25)
[00:00:21 -1543.127062] Model parameter optimization (eps = 0.100000)

[00:00:22] ML tree search #1, logLikelihood: -1543.020174

[00:00:22 -2744.414732] Initial branch length optimization
[00:00:22 -2145.478589] Model parameter optimization (eps = 10.000000)
[00:00:22 -2128.722593] AUTODETECT spr round 1 (radius: 5)
[00:00:23 -1882.426673] AUTODETECT spr round 2 (radius: 10)
[00:00:24 -1797.247090] AUTODETECT spr round 3 (radius: 15)
[00:00:25 -1734.648127] AUTODETECT spr round 4 (radius: 20)
[00:00:26 -1662.979978] AUTODETECT spr round 5 (radius: 25)
[00:00:26 -1655.332925] SPR radius for FAST iterations: 25 (autodetect)
[00:00:26 -1655.332925] Model parameter optimization (eps = 3.000000)
[00:00:28 -1646.829670] FAST spr round 1 (radius: 25)
[00:00:29 -1572.223136] FAST spr round 2 (radius: 25)
[00:00:29 -1547.115988] FAST spr round 3 (radius: 25)
[00:00:30 -1546.184349] FAST spr round 4 (radius: 25)
[00:00:31 -1546.091183] Model parameter optimization (eps = 1.000000)
[00:00:31 -1545.749713] SLOW spr round 1 (radius: 5)
[00:00:33 -1545.588643] SLOW spr round 2 (radius: 5)
[00:00:34 -1545.588492] SLOW spr round 3 (radius: 10)
[00:00:35 -1544.833744] SLOW spr round 4 (radius: 5)
[00:00:37 -1542.147470] SLOW spr round 5 (radius: 5)
[00:00:38 -1541.494950] SLOW spr round 6 (radius: 5)
[00:00:39 -1541.451193] SLOW spr round 7 (radius: 10)
[00:00:41 -1541.451110] SLOW spr round 8 (radius: 15)
[00:00:42 -1537.757530] SLOW spr round 9 (radius: 5)
[00:00:44 -1537.757525] SLOW spr round 10 (radius: 10)
[00:00:46 -1537.474467] SLOW spr round 11 (radius: 5)
[00:00:47 -1537.473481] SLOW spr round 12 (radius: 10)
[00:00:48 -1537.473444] SLOW spr round 13 (radius: 15)
[00:00:50 -1537.473443] SLOW spr round 14 (radius: 20)
[00:00:52 -1536.566333] SLOW spr round 15 (radius: 5)
[00:00:54 -1534.552753] SLOW spr round 16 (radius: 5)
[00:00:55 -1534.550776] SLOW spr round 17 (radius: 10)
[00:00:56 -1534.550674] SLOW spr round 18 (radius: 15)
[00:00:58 -1534.550666] SLOW spr round 19 (radius: 20)
[00:00:59 -1534.550665] SLOW spr round 20 (radius: 25)
[00:01:00 -1534.550665] Model parameter optimization (eps = 0.100000)

[00:01:01] ML tree search #2, logLikelihood: -1533.743826

[00:01:01 -2742.793334] Initial branch length optimization
[00:01:01 -2244.402405] Model parameter optimization (eps = 10.000000)
[00:01:03 -2230.771996] AUTODETECT spr round 1 (radius: 5)
[00:01:04 -1854.731599] AUTODETECT spr round 2 (radius: 10)
[00:01:05 -1708.234411] AUTODETECT spr round 3 (radius: 15)
[00:01:06 -1618.364838] AUTODETECT spr round 4 (radius: 20)
[00:01:06 -1590.712627] AUTODETECT spr round 5 (radius: 25)
[00:01:07 -1590.709210] SPR radius for FAST iterations: 20 (autodetect)
[00:01:07 -1590.709210] Model parameter optimization (eps = 3.000000)
[00:01:07 -1578.890131] FAST spr round 1 (radius: 20)
[00:01:08 -1559.226299] FAST spr round 2 (radius: 20)
[00:01:09 -1554.140050] FAST spr round 3 (radius: 20)
[00:01:10 -1550.838598] FAST spr round 4 (radius: 20)
[00:01:11 -1546.916460] FAST spr round 5 (radius: 20)
[00:01:11 -1546.536045] FAST spr round 6 (radius: 20)
[00:01:12 -1546.535524] Model parameter optimization (eps = 1.000000)
[00:01:12 -1546.173025] SLOW spr round 1 (radius: 5)
[00:01:14 -1542.331763] SLOW spr round 2 (radius: 5)
[00:01:15 -1541.918257] SLOW spr round 3 (radius: 5)
[00:01:16 -1541.918033] SLOW spr round 4 (radius: 10)
[00:01:18 -1541.918017] SLOW spr round 5 (radius: 15)
[00:01:19 -1537.893182] SLOW spr round 6 (radius: 5)
[00:01:21 -1537.892819] SLOW spr round 7 (radius: 10)
[00:01:22 -1537.486786] SLOW spr round 8 (radius: 5)
[00:01:24 -1537.486591] SLOW spr round 9 (radius: 10)
[00:01:25 -1537.486534] SLOW spr round 10 (radius: 15)
[00:01:27 -1537.486515] SLOW spr round 11 (radius: 20)
[00:01:28 -1537.486509] SLOW spr round 12 (radius: 25)
[00:01:30 -1537.363160] SLOW spr round 13 (radius: 5)
[00:01:31 -1536.198736] SLOW spr round 14 (radius: 5)
[00:01:33 -1536.196718] SLOW spr round 15 (radius: 10)
[00:01:34 -1536.196468] SLOW spr round 16 (radius: 15)
[00:01:36 -1536.196435] SLOW spr round 17 (radius: 20)
[00:01:37 -1536.196431] SLOW spr round 18 (radius: 25)
[00:01:39 -1535.471014] SLOW spr round 19 (radius: 5)
[00:01:40 -1535.468014] SLOW spr round 20 (radius: 10)
[00:01:42 -1535.467834] SLOW spr round 21 (radius: 15)
[00:01:43 -1533.478805] SLOW spr round 22 (radius: 5)
[00:01:45 -1533.476270] SLOW spr round 23 (radius: 10)
[00:01:46 -1533.476248] SLOW spr round 24 (radius: 15)
[00:01:48 -1533.476235] SLOW spr round 25 (radius: 20)
[00:01:50 -1532.863273] SLOW spr round 26 (radius: 5)
[00:01:51 -1531.320622] SLOW spr round 27 (radius: 5)
[00:01:53 -1531.317586] SLOW spr round 28 (radius: 10)
[00:01:54 -1531.317578] SLOW spr round 29 (radius: 15)
[00:01:56 -1531.317576] SLOW spr round 30 (radius: 20)
[00:01:57 -1531.317576] SLOW spr round 31 (radius: 25)
[00:01:59 -1531.317576] Model parameter optimization (eps = 0.100000)

[00:01:59] ML tree search #3, logLikelihood: -1531.033191

[00:01:59 -2740.992412] Initial branch length optimization
[00:01:59 -2163.069260] Model parameter optimization (eps = 10.000000)
[00:01:59 -2153.752450] AUTODETECT spr round 1 (radius: 5)
[00:02:00 -1869.817372] AUTODETECT spr round 2 (radius: 10)
[00:02:01 -1699.478103] AUTODETECT spr round 3 (radius: 15)
[00:02:02 -1682.795059] AUTODETECT spr round 4 (radius: 20)
[00:02:03 -1682.389933] AUTODETECT spr round 5 (radius: 25)
[00:02:03 -1682.329448] SPR radius for FAST iterations: 20 (autodetect)
[00:02:03 -1682.329448] Model parameter optimization (eps = 3.000000)
[00:02:04 -1663.940102] FAST spr round 1 (radius: 20)
[00:02:05 -1579.500782] FAST spr round 2 (radius: 20)
[00:02:06 -1572.155726] FAST spr round 3 (radius: 20)
[00:02:07 -1571.682799] FAST spr round 4 (radius: 20)
[00:02:08 -1569.656579] FAST spr round 5 (radius: 20)
[00:02:08 -1569.046489] FAST spr round 6 (radius: 20)
[00:02:09 -1569.046373] Model parameter optimization (eps = 1.000000)
[00:02:10 -1567.298521] SLOW spr round 1 (radius: 5)
[00:02:11 -1559.814376] SLOW spr round 2 (radius: 5)
[00:02:13 -1559.103062] SLOW spr round 3 (radius: 5)
[00:02:14 -1559.070542] SLOW spr round 4 (radius: 10)
[00:02:15 -1556.368557] SLOW spr round 5 (radius: 5)
[00:02:17 -1556.366002] SLOW spr round 6 (radius: 10)
[00:02:18 -1553.239875] SLOW spr round 7 (radius: 5)
[00:02:20 -1553.231818] SLOW spr round 8 (radius: 10)
[00:02:22 -1551.182639] SLOW spr round 9 (radius: 5)
[00:02:23 -1551.182388] SLOW spr round 10 (radius: 10)
[00:02:24 -1551.182376] SLOW spr round 11 (radius: 15)
[00:02:26 -1542.641964] SLOW spr round 12 (radius: 5)
[00:02:28 -1540.383645] SLOW spr round 13 (radius: 5)
[00:02:29 -1540.383496] SLOW spr round 14 (radius: 10)
[00:02:31 -1539.361298] SLOW spr round 15 (radius: 5)
[00:02:33 -1538.954364] SLOW spr round 16 (radius: 5)
[00:02:34 -1537.868532] SLOW spr round 17 (radius: 5)
[00:02:35 -1537.868515] SLOW spr round 18 (radius: 10)
[00:02:36 -1537.868515] SLOW spr round 19 (radius: 15)
[00:02:38 -1536.767902] SLOW spr round 20 (radius: 5)
[00:02:40 -1536.767844] SLOW spr round 21 (radius: 10)
[00:02:42 -1536.767842] SLOW spr round 22 (radius: 15)
[00:02:44 -1536.767842] SLOW spr round 23 (radius: 20)
[00:02:45 -1536.767842] SLOW spr round 24 (radius: 25)
[00:02:46 -1536.767842] Model parameter optimization (eps = 0.100000)

[00:02:46] ML tree search #4, logLikelihood: -1536.735552

[00:02:46 -2804.381306] Initial branch length optimization
[00:02:46 -2162.515682] Model parameter optimization (eps = 10.000000)
[00:02:47 -2145.244486] AUTODETECT spr round 1 (radius: 5)
[00:02:48 -1945.509418] AUTODETECT spr round 2 (radius: 10)
[00:02:48 -1752.432725] AUTODETECT spr round 3 (radius: 15)
[00:02:49 -1627.756335] AUTODETECT spr round 4 (radius: 20)
[00:02:50 -1616.346398] AUTODETECT spr round 5 (radius: 25)
[00:02:51 -1616.324822] SPR radius for FAST iterations: 20 (autodetect)
[00:02:51 -1616.324822] Model parameter optimization (eps = 3.000000)
[00:02:52 -1608.120177] FAST spr round 1 (radius: 20)
[00:02:52 -1576.009550] FAST spr round 2 (radius: 20)
[00:02:53 -1539.345820] FAST spr round 3 (radius: 20)
[00:02:54 -1538.881228] FAST spr round 4 (radius: 20)
[00:02:55 -1538.880501] Model parameter optimization (eps = 1.000000)
[00:02:55 -1538.878848] SLOW spr round 1 (radius: 5)
[00:02:56 -1538.569866] SLOW spr round 2 (radius: 5)
[00:02:57 -1538.569849] SLOW spr round 3 (radius: 10)
[00:02:59 -1537.910920] SLOW spr round 4 (radius: 5)
[00:03:00 -1537.785424] SLOW spr round 5 (radius: 5)
[00:03:02 -1537.783880] SLOW spr round 6 (radius: 10)
[00:03:03 -1537.783781] SLOW spr round 7 (radius: 15)
[00:03:05 -1535.949811] SLOW spr round 8 (radius: 5)
[00:03:07 -1535.942824] SLOW spr round 9 (radius: 10)
[00:03:08 -1535.940888] SLOW spr round 10 (radius: 15)
[00:03:10 -1535.940412] SLOW spr round 11 (radius: 20)
[00:03:12 -1535.940303] SLOW spr round 12 (radius: 25)
[00:03:13 -1535.306968] SLOW spr round 13 (radius: 5)
[00:03:14 -1535.306803] SLOW spr round 14 (radius: 10)
[00:03:16 -1535.306774] SLOW spr round 15 (radius: 15)
[00:03:18 -1535.306768] SLOW spr round 16 (radius: 20)
[00:03:19 -1535.306767] SLOW spr round 17 (radius: 25)
[00:03:20 -1535.306767] Model parameter optimization (eps = 0.100000)

[00:03:21] ML tree search #5, logLikelihood: -1535.136699

[00:03:21 -2766.095161] Initial branch length optimization
[00:03:21 -2179.302304] Model parameter optimization (eps = 10.000000)
[00:03:22 -2154.340647] AUTODETECT spr round 1 (radius: 5)
[00:03:23 -1878.383161] AUTODETECT spr round 2 (radius: 10)
[00:03:24 -1726.755434] AUTODETECT spr round 3 (radius: 15)
[00:03:25 -1632.055741] AUTODETECT spr round 4 (radius: 20)
[00:03:25 -1629.175452] AUTODETECT spr round 5 (radius: 25)
[00:03:26 -1620.683515] SPR radius for FAST iterations: 25 (autodetect)
[00:03:26 -1620.683515] Model parameter optimization (eps = 3.000000)
[00:03:28 -1608.856604] FAST spr round 1 (radius: 25)
[00:03:28 -1570.032067] FAST spr round 2 (radius: 25)
[00:03:29 -1566.877966] FAST spr round 3 (radius: 25)
[00:03:30 -1566.845292] Model parameter optimization (eps = 1.000000)
[00:03:30 -1566.609745] SLOW spr round 1 (radius: 5)
[00:03:32 -1565.996503] SLOW spr round 2 (radius: 5)
[00:03:33 -1565.994784] SLOW spr round 3 (radius: 10)
[00:03:34 -1559.507332] SLOW spr round 4 (radius: 5)
[00:03:36 -1558.791524] SLOW spr round 5 (radius: 5)
[00:03:37 -1557.072823] SLOW spr round 6 (radius: 5)
[00:03:38 -1557.072809] SLOW spr round 7 (radius: 10)
[00:03:39 -1554.150736] SLOW spr round 8 (radius: 5)
[00:03:41 -1553.628530] SLOW spr round 9 (radius: 5)
[00:03:42 -1552.240814] SLOW spr round 10 (radius: 5)
[00:03:44 -1552.106014] SLOW spr round 11 (radius: 5)
[00:03:45 -1552.105648] SLOW spr round 12 (radius: 10)
[00:03:46 -1550.214335] SLOW spr round 13 (radius: 5)
[00:03:48 -1550.214192] SLOW spr round 14 (radius: 10)
[00:03:49 -1550.214175] SLOW spr round 15 (radius: 15)
[00:03:51 -1549.844340] SLOW spr round 16 (radius: 5)
[00:03:52 -1549.843218] SLOW spr round 17 (radius: 10)
[00:03:54 -1549.842469] SLOW spr round 18 (radius: 15)
[00:03:56 -1549.368476] SLOW spr round 19 (radius: 5)
[00:03:57 -1549.367842] SLOW spr round 20 (radius: 10)
[00:03:58 -1549.367347] SLOW spr round 21 (radius: 15)
[00:04:00 -1549.366968] SLOW spr round 22 (radius: 20)
[00:04:02 -1548.120980] SLOW spr round 23 (radius: 5)
[00:04:03 -1548.118618] SLOW spr round 24 (radius: 10)
[00:04:05 -1548.118077] SLOW spr round 25 (radius: 15)
[00:04:06 -1548.117929] SLOW spr round 26 (radius: 20)
[00:04:08 -1548.117888] SLOW spr round 27 (radius: 25)
[00:04:09 -1547.627940] SLOW spr round 28 (radius: 5)
[00:04:11 -1547.627922] SLOW spr round 29 (radius: 10)
[00:04:13 -1547.627921] SLOW spr round 30 (radius: 15)
[00:04:14 -1547.627920] SLOW spr round 31 (radius: 20)
[00:04:16 -1547.627920] SLOW spr round 32 (radius: 25)
[00:04:17 -1547.627920] Model parameter optimization (eps = 0.100000)

[00:04:18] ML tree search #6, logLikelihood: -1546.823834

[00:04:18 -2766.267214] Initial branch length optimization
[00:04:18 -2181.749262] Model parameter optimization (eps = 10.000000)
[00:04:19 -2169.850053] AUTODETECT spr round 1 (radius: 5)
[00:04:19 -1810.107713] AUTODETECT spr round 2 (radius: 10)
[00:04:20 -1689.911531] AUTODETECT spr round 3 (radius: 15)
[00:04:21 -1617.018646] AUTODETECT spr round 4 (radius: 20)
[00:04:22 -1612.954397] AUTODETECT spr round 5 (radius: 25)
[00:04:23 -1612.929265] SPR radius for FAST iterations: 20 (autodetect)
[00:04:23 -1612.929265] Model parameter optimization (eps = 3.000000)
[00:04:24 -1591.759320] FAST spr round 1 (radius: 20)
[00:04:25 -1554.599326] FAST spr round 2 (radius: 20)
[00:04:26 -1549.995100] FAST spr round 3 (radius: 20)
[00:04:27 -1548.213183] FAST spr round 4 (radius: 20)
[00:04:27 -1546.483978] FAST spr round 5 (radius: 20)
[00:04:28 -1543.891433] FAST spr round 6 (radius: 20)
[00:04:29 -1537.643024] FAST spr round 7 (radius: 20)
[00:04:29 -1536.500182] FAST spr round 8 (radius: 20)
[00:04:30 -1536.500157] Model parameter optimization (eps = 1.000000)
[00:04:30 -1536.494323] SLOW spr round 1 (radius: 5)
[00:04:32 -1536.478447] SLOW spr round 2 (radius: 10)
[00:04:33 -1536.478411] SLOW spr round 3 (radius: 15)
[00:04:35 -1535.569476] SLOW spr round 4 (radius: 5)
[00:04:37 -1535.569310] SLOW spr round 5 (radius: 10)
[00:04:38 -1535.569280] SLOW spr round 6 (radius: 15)
[00:04:40 -1535.569273] SLOW spr round 7 (radius: 20)
[00:04:42 -1535.569271] SLOW spr round 8 (radius: 25)
[00:04:43 -1534.945581] SLOW spr round 9 (radius: 5)
[00:04:45 -1534.945305] SLOW spr round 10 (radius: 10)
[00:04:46 -1534.945213] SLOW spr round 11 (radius: 15)
[00:04:48 -1534.945178] SLOW spr round 12 (radius: 20)
[00:04:50 -1534.945164] SLOW spr round 13 (radius: 25)
[00:04:50 -1534.945159] Model parameter optimization (eps = 0.100000)

[00:04:51] ML tree search #7, logLikelihood: -1534.779037

[00:04:51 -2772.871362] Initial branch length optimization
[00:04:51 -2209.226865] Model parameter optimization (eps = 10.000000)
[00:04:53 -2178.467984] AUTODETECT spr round 1 (radius: 5)
[00:04:53 -1880.628662] AUTODETECT spr round 2 (radius: 10)
[00:04:54 -1709.199784] AUTODETECT spr round 3 (radius: 15)
[00:04:55 -1625.817800] AUTODETECT spr round 4 (radius: 20)
[00:04:56 -1621.468373] AUTODETECT spr round 5 (radius: 25)
[00:04:57 -1617.728644] SPR radius for FAST iterations: 25 (autodetect)
[00:04:57 -1617.728644] Model parameter optimization (eps = 3.000000)
[00:04:57 -1617.392752] FAST spr round 1 (radius: 25)
[00:04:58 -1572.246554] FAST spr round 2 (radius: 25)
[00:04:58 -1568.321650] FAST spr round 3 (radius: 25)
[00:04:59 -1568.320609] Model parameter optimization (eps = 1.000000)
[00:05:00 -1568.171460] SLOW spr round 1 (radius: 5)
[00:05:01 -1566.455692] SLOW spr round 2 (radius: 5)
[00:05:02 -1566.076003] SLOW spr round 3 (radius: 5)
[00:05:03 -1565.564078] SLOW spr round 4 (radius: 5)
[00:05:05 -1565.563801] SLOW spr round 5 (radius: 10)
[00:05:06 -1565.563793] SLOW spr round 6 (radius: 15)
[00:05:08 -1546.533328] SLOW spr round 7 (radius: 5)
[00:05:09 -1543.461011] SLOW spr round 8 (radius: 5)
[00:05:11 -1542.119609] SLOW spr round 9 (radius: 5)
[00:05:12 -1542.118974] SLOW spr round 10 (radius: 10)
[00:05:13 -1542.118961] SLOW spr round 11 (radius: 15)
[00:05:15 -1542.118961] SLOW spr round 12 (radius: 20)
[00:05:17 -1539.976988] SLOW spr round 13 (radius: 5)
[00:05:19 -1539.976917] SLOW spr round 14 (radius: 10)
[00:05:20 -1539.976916] SLOW spr round 15 (radius: 15)
[00:05:22 -1539.976916] SLOW spr round 16 (radius: 20)
[00:05:23 -1538.076819] SLOW spr round 17 (radius: 5)
[00:05:25 -1538.076808] SLOW spr round 18 (radius: 10)
[00:05:27 -1538.076807] SLOW spr round 19 (radius: 15)
[00:05:28 -1538.076807] SLOW spr round 20 (radius: 20)
[00:05:30 -1538.076807] SLOW spr round 21 (radius: 25)
[00:05:31 -1538.076807] Model parameter optimization (eps = 0.100000)

[00:05:31] ML tree search #8, logLikelihood: -1537.013266

[00:05:31 -2698.707281] Initial branch length optimization
[00:05:31 -2094.707763] Model parameter optimization (eps = 10.000000)
[00:05:32 -2079.640328] AUTODETECT spr round 1 (radius: 5)
[00:05:33 -1824.267910] AUTODETECT spr round 2 (radius: 10)
[00:05:34 -1680.122237] AUTODETECT spr round 3 (radius: 15)
[00:05:34 -1667.737797] AUTODETECT spr round 4 (radius: 20)
[00:05:35 -1659.991135] AUTODETECT spr round 5 (radius: 25)
[00:05:36 -1609.061605] SPR radius for FAST iterations: 25 (autodetect)
[00:05:36 -1609.061605] Model parameter optimization (eps = 3.000000)
[00:05:37 -1603.357633] FAST spr round 1 (radius: 25)
[00:05:38 -1558.713078] FAST spr round 2 (radius: 25)
[00:05:38 -1555.484654] FAST spr round 3 (radius: 25)
[00:05:39 -1554.836793] FAST spr round 4 (radius: 25)
[00:05:40 -1554.465607] FAST spr round 5 (radius: 25)
[00:05:41 -1554.409328] Model parameter optimization (eps = 1.000000)
[00:05:41 -1554.393595] SLOW spr round 1 (radius: 5)
[00:05:42 -1549.761144] SLOW spr round 2 (radius: 5)
[00:05:43 -1549.753236] SLOW spr round 3 (radius: 10)
[00:05:45 -1549.602047] SLOW spr round 4 (radius: 5)
[00:05:46 -1549.599610] SLOW spr round 5 (radius: 10)
[00:05:47 -1549.598418] SLOW spr round 6 (radius: 15)
[00:05:49 -1543.745258] SLOW spr round 7 (radius: 5)
[00:05:51 -1542.962104] SLOW spr round 8 (radius: 5)
[00:05:52 -1542.961888] SLOW spr round 9 (radius: 10)
[00:05:53 -1542.961881] SLOW spr round 10 (radius: 15)
[00:05:55 -1542.755338] SLOW spr round 11 (radius: 5)
[00:05:56 -1542.714613] SLOW spr round 12 (radius: 10)
[00:05:58 -1542.713901] SLOW spr round 13 (radius: 15)
[00:05:59 -1542.713539] SLOW spr round 14 (radius: 20)
[00:06:01 -1542.005719] SLOW spr round 15 (radius: 5)
[00:06:02 -1541.991624] SLOW spr round 16 (radius: 10)
[00:06:04 -1541.989813] SLOW spr round 17 (radius: 15)
[00:06:05 -1541.657834] SLOW spr round 18 (radius: 5)
[00:06:07 -1541.605015] SLOW spr round 19 (radius: 10)
[00:06:08 -1541.603194] SLOW spr round 20 (radius: 15)
[00:06:10 -1537.806885] SLOW spr round 21 (radius: 5)
[00:06:12 -1537.806800] SLOW spr round 22 (radius: 10)
[00:06:13 -1537.806783] SLOW spr round 23 (radius: 15)
[00:06:14 -1537.806775] SLOW spr round 24 (radius: 20)
[00:06:16 -1537.806771] SLOW spr round 25 (radius: 25)
[00:06:17 -1537.806769] Model parameter optimization (eps = 0.100000)

[00:06:17] ML tree search #9, logLikelihood: -1537.798405

[00:06:17 -2743.141382] Initial branch length optimization
[00:06:17 -2179.272152] Model parameter optimization (eps = 10.000000)
[00:06:20 -2110.064275] AUTODETECT spr round 1 (radius: 5)
[00:06:20 -1912.583291] AUTODETECT spr round 2 (radius: 10)
[00:06:21 -1790.724674] AUTODETECT spr round 3 (radius: 15)
[00:06:22 -1688.661685] AUTODETECT spr round 4 (radius: 20)
[00:06:23 -1679.169675] AUTODETECT spr round 5 (radius: 25)
[00:06:23 -1658.939016] SPR radius for FAST iterations: 25 (autodetect)
[00:06:23 -1658.939016] Model parameter optimization (eps = 3.000000)
[00:06:24 -1654.649770] FAST spr round 1 (radius: 25)
[00:06:25 -1591.739617] FAST spr round 2 (radius: 25)
[00:06:26 -1585.078360] FAST spr round 3 (radius: 25)
[00:06:27 -1578.301844] FAST spr round 4 (radius: 25)
[00:06:28 -1568.741247] FAST spr round 5 (radius: 25)
[00:06:28 -1568.734610] Model parameter optimization (eps = 1.000000)
[00:06:29 -1567.190366] SLOW spr round 1 (radius: 5)
[00:06:30 -1567.062532] SLOW spr round 2 (radius: 5)
[00:06:32 -1567.050880] SLOW spr round 3 (radius: 10)
[00:06:33 -1567.004588] SLOW spr round 4 (radius: 15)
[00:06:35 -1566.171884] SLOW spr round 5 (radius: 5)
[00:06:37 -1564.123599] SLOW spr round 6 (radius: 5)
[00:06:38 -1564.123355] SLOW spr round 7 (radius: 10)
[00:06:39 -1564.119601] SLOW spr round 8 (radius: 15)
[00:06:42 -1563.362212] SLOW spr round 9 (radius: 5)
[00:06:43 -1562.711048] SLOW spr round 10 (radius: 5)
[00:06:45 -1561.689395] SLOW spr round 11 (radius: 5)
[00:06:46 -1561.681996] SLOW spr round 12 (radius: 10)
[00:06:47 -1561.681900] SLOW spr round 13 (radius: 15)
[00:06:49 -1561.681833] SLOW spr round 14 (radius: 20)
[00:06:50 -1561.681780] SLOW spr round 15 (radius: 25)
[00:06:52 -1561.681737] Model parameter optimization (eps = 0.100000)

[00:06:52] ML tree search #10, logLikelihood: -1561.514099

[00:06:52 -2820.793742] Initial branch length optimization
[00:06:52 -2154.123861] Model parameter optimization (eps = 10.000000)
[00:06:53 -2127.715598] AUTODETECT spr round 1 (radius: 5)
[00:06:54 -1887.461484] AUTODETECT spr round 2 (radius: 10)
[00:06:55 -1694.616492] AUTODETECT spr round 3 (radius: 15)
[00:06:55 -1643.476797] AUTODETECT spr round 4 (radius: 20)
[00:06:56 -1633.163963] AUTODETECT spr round 5 (radius: 25)
[00:06:57 -1633.130871] SPR radius for FAST iterations: 20 (autodetect)
[00:06:57 -1633.130871] Model parameter optimization (eps = 3.000000)
[00:06:58 -1610.119233] FAST spr round 1 (radius: 20)
[00:06:59 -1563.400639] FAST spr round 2 (radius: 20)
[00:07:00 -1553.970589] FAST spr round 3 (radius: 20)
[00:07:00 -1550.265735] FAST spr round 4 (radius: 20)
[00:07:01 -1549.250613] FAST spr round 5 (radius: 20)
[00:07:02 -1549.250396] Model parameter optimization (eps = 1.000000)
[00:07:02 -1547.537057] SLOW spr round 1 (radius: 5)
[00:07:04 -1541.145692] SLOW spr round 2 (radius: 5)
[00:07:05 -1540.128825] SLOW spr round 3 (radius: 5)
[00:07:06 -1540.128366] SLOW spr round 4 (radius: 10)
[00:07:08 -1539.284787] SLOW spr round 5 (radius: 5)
[00:07:09 -1539.284510] SLOW spr round 6 (radius: 10)
[00:07:10 -1539.284427] SLOW spr round 7 (radius: 15)
[00:07:12 -1537.812470] SLOW spr round 8 (radius: 5)
[00:07:14 -1537.674991] SLOW spr round 9 (radius: 5)
[00:07:15 -1537.674873] SLOW spr round 10 (radius: 10)
[00:07:17 -1537.674852] SLOW spr round 11 (radius: 15)
[00:07:18 -1537.197357] SLOW spr round 12 (radius: 5)
[00:07:20 -1537.197355] SLOW spr round 13 (radius: 10)
[00:07:21 -1537.197354] SLOW spr round 14 (radius: 15)
[00:07:23 -1535.450530] SLOW spr round 15 (radius: 5)
[00:07:25 -1535.447557] SLOW spr round 16 (radius: 10)
[00:07:26 -1535.447307] SLOW spr round 17 (radius: 15)
[00:07:28 -1534.143069] SLOW spr round 18 (radius: 5)
[00:07:29 -1534.143066] SLOW spr round 19 (radius: 10)
[00:07:31 -1534.143065] SLOW spr round 20 (radius: 15)
[00:07:32 -1534.143065] SLOW spr round 21 (radius: 20)
[00:07:34 -1534.143065] SLOW spr round 22 (radius: 25)
[00:07:35 -1534.143065] Model parameter optimization (eps = 0.100000)

[00:07:35] ML tree search #11, logLikelihood: -1534.087415

[00:07:35 -2754.142649] Initial branch length optimization
[00:07:35 -2183.680657] Model parameter optimization (eps = 10.000000)
[00:07:36 -2147.593620] AUTODETECT spr round 1 (radius: 5)
[00:07:37 -1845.697874] AUTODETECT spr round 2 (radius: 10)
[00:07:38 -1721.847803] AUTODETECT spr round 3 (radius: 15)
[00:07:39 -1637.775925] AUTODETECT spr round 4 (radius: 20)
[00:07:40 -1627.482966] AUTODETECT spr round 5 (radius: 25)
[00:07:40 -1625.297723] SPR radius for FAST iterations: 25 (autodetect)
[00:07:40 -1625.297723] Model parameter optimization (eps = 3.000000)
[00:07:41 -1618.489395] FAST spr round 1 (radius: 25)
[00:07:42 -1558.213144] FAST spr round 2 (radius: 25)
[00:07:43 -1553.801352] FAST spr round 3 (radius: 25)
[00:07:43 -1553.801249] Model parameter optimization (eps = 1.000000)
[00:07:43 -1553.794323] SLOW spr round 1 (radius: 5)
[00:07:45 -1553.770203] SLOW spr round 2 (radius: 10)
[00:07:46 -1550.803520] SLOW spr round 3 (radius: 5)
[00:07:47 -1550.274107] SLOW spr round 4 (radius: 5)
[00:07:49 -1549.679734] SLOW spr round 5 (radius: 5)
[00:07:50 -1549.463747] SLOW spr round 6 (radius: 5)
[00:07:52 -1548.115512] SLOW spr round 7 (radius: 5)
[00:07:53 -1548.115359] SLOW spr round 8 (radius: 10)
[00:07:54 -1542.796500] SLOW spr round 9 (radius: 5)
[00:07:56 -1542.789176] SLOW spr round 10 (radius: 10)
[00:07:57 -1542.787750] SLOW spr round 11 (radius: 15)
[00:07:59 -1541.292893] SLOW spr round 12 (radius: 5)
[00:08:01 -1541.236550] SLOW spr round 13 (radius: 10)
[00:08:02 -1541.235636] SLOW spr round 14 (radius: 15)
[00:08:04 -1539.287639] SLOW spr round 15 (radius: 5)
[00:08:05 -1539.169073] SLOW spr round 16 (radius: 5)
[00:08:07 -1539.168321] SLOW spr round 17 (radius: 10)
[00:08:08 -1539.168292] SLOW spr round 18 (radius: 15)
[00:08:10 -1539.168291] SLOW spr round 19 (radius: 20)
[00:08:11 -1539.131051] SLOW spr round 20 (radius: 25)
[00:08:12 -1538.913495] SLOW spr round 21 (radius: 5)
[00:08:14 -1538.913484] SLOW spr round 22 (radius: 10)
[00:08:16 -1538.913483] SLOW spr round 23 (radius: 15)
[00:08:17 -1538.913483] SLOW spr round 24 (radius: 20)
[00:08:19 -1538.913483] SLOW spr round 25 (radius: 25)
[00:08:20 -1538.913483] Model parameter optimization (eps = 0.100000)

[00:08:20] ML tree search #12, logLikelihood: -1538.669187

[00:08:20 -2755.419556] Initial branch length optimization
[00:08:20 -2215.607269] Model parameter optimization (eps = 10.000000)
[00:08:21 -2179.532406] AUTODETECT spr round 1 (radius: 5)
[00:08:22 -1824.303314] AUTODETECT spr round 2 (radius: 10)
[00:08:23 -1686.719115] AUTODETECT spr round 3 (radius: 15)
[00:08:23 -1680.803144] AUTODETECT spr round 4 (radius: 20)
[00:08:24 -1657.985346] AUTODETECT spr round 5 (radius: 25)
[00:08:25 -1657.968180] SPR radius for FAST iterations: 20 (autodetect)
[00:08:25 -1657.968180] Model parameter optimization (eps = 3.000000)
[00:08:26 -1634.120631] FAST spr round 1 (radius: 20)
[00:08:27 -1556.583304] FAST spr round 2 (radius: 20)
[00:08:28 -1548.972690] FAST spr round 3 (radius: 20)
[00:08:28 -1548.337330] FAST spr round 4 (radius: 20)
[00:08:29 -1548.322786] Model parameter optimization (eps = 1.000000)
[00:08:29 -1548.249461] SLOW spr round 1 (radius: 5)
[00:08:31 -1547.539697] SLOW spr round 2 (radius: 5)
[00:08:32 -1547.539420] SLOW spr round 3 (radius: 10)
[00:08:33 -1547.539358] SLOW spr round 4 (radius: 15)
[00:08:35 -1544.957702] SLOW spr round 5 (radius: 5)
[00:08:36 -1544.914444] SLOW spr round 6 (radius: 10)
[00:08:38 -1542.808239] SLOW spr round 7 (radius: 5)
[00:08:39 -1542.808173] SLOW spr round 8 (radius: 10)
[00:08:40 -1542.808151] SLOW spr round 9 (radius: 15)
[00:08:42 -1542.565719] SLOW spr round 10 (radius: 5)
[00:08:44 -1542.554384] SLOW spr round 11 (radius: 10)
[00:08:45 -1542.552749] SLOW spr round 12 (radius: 15)
[00:08:46 -1542.552560] SLOW spr round 13 (radius: 20)
[00:08:48 -1542.294207] SLOW spr round 14 (radius: 5)
[00:08:50 -1541.875727] SLOW spr round 15 (radius: 5)
[00:08:51 -1541.875654] SLOW spr round 16 (radius: 10)
[00:08:52 -1541.875621] SLOW spr round 17 (radius: 15)
[00:08:54 -1541.875603] SLOW spr round 18 (radius: 20)
[00:08:55 -1541.875593] SLOW spr round 19 (radius: 25)
[00:08:57 -1536.845085] SLOW spr round 20 (radius: 5)
[00:08:58 -1536.648517] SLOW spr round 21 (radius: 5)
[00:09:00 -1536.648194] SLOW spr round 22 (radius: 10)
[00:09:01 -1536.648192] SLOW spr round 23 (radius: 15)
[00:09:03 -1535.541816] SLOW spr round 24 (radius: 5)
[00:09:04 -1535.540196] SLOW spr round 25 (radius: 10)
[00:09:06 -1535.540092] SLOW spr round 26 (radius: 15)
[00:09:07 -1535.229193] SLOW spr round 27 (radius: 5)
[00:09:09 -1535.226891] SLOW spr round 28 (radius: 10)
[00:09:10 -1535.226497] SLOW spr round 29 (radius: 15)
[00:09:12 -1535.226423] SLOW spr round 30 (radius: 20)
[00:09:14 -1535.226408] SLOW spr round 31 (radius: 25)
[00:09:15 -1535.226405] Model parameter optimization (eps = 0.100000)

[00:09:15] ML tree search #13, logLikelihood: -1534.925395

[00:09:15 -2712.913823] Initial branch length optimization
[00:09:15 -2161.285084] Model parameter optimization (eps = 10.000000)
[00:09:17 -2095.086938] AUTODETECT spr round 1 (radius: 5)
[00:09:18 -1824.310159] AUTODETECT spr round 2 (radius: 10)
[00:09:18 -1701.800190] AUTODETECT spr round 3 (radius: 15)
[00:09:19 -1652.464439] AUTODETECT spr round 4 (radius: 20)
[00:09:20 -1645.515752] AUTODETECT spr round 5 (radius: 25)
[00:09:21 -1635.121386] SPR radius for FAST iterations: 25 (autodetect)
[00:09:21 -1635.121386] Model parameter optimization (eps = 3.000000)
[00:09:22 -1629.917274] FAST spr round 1 (radius: 25)
[00:09:23 -1586.509426] FAST spr round 2 (radius: 25)
[00:09:23 -1583.542032] FAST spr round 3 (radius: 25)
[00:09:24 -1583.436059] FAST spr round 4 (radius: 25)
[00:09:25 -1583.435561] Model parameter optimization (eps = 1.000000)
[00:09:26 -1581.648502] SLOW spr round 1 (radius: 5)
[00:09:27 -1576.891428] SLOW spr round 2 (radius: 5)
[00:09:28 -1571.134059] SLOW spr round 3 (radius: 5)
[00:09:29 -1569.903432] SLOW spr round 4 (radius: 5)
[00:09:30 -1569.902555] SLOW spr round 5 (radius: 10)
[00:09:31 -1569.300889] SLOW spr round 6 (radius: 5)
[00:09:33 -1569.154997] SLOW spr round 7 (radius: 5)
[00:09:34 -1569.154857] SLOW spr round 8 (radius: 10)
[00:09:35 -1567.993900] SLOW spr round 9 (radius: 5)
[00:09:37 -1567.993457] SLOW spr round 10 (radius: 10)
[00:09:38 -1567.993439] SLOW spr round 11 (radius: 15)
[00:09:39 -1567.993435] SLOW spr round 12 (radius: 20)
[00:09:41 -1567.621506] SLOW spr round 13 (radius: 5)
[00:09:43 -1567.552379] SLOW spr round 14 (radius: 10)
[00:09:44 -1567.552365] SLOW spr round 15 (radius: 15)
[00:09:45 -1567.227354] SLOW spr round 16 (radius: 5)
[00:09:47 -1567.226577] SLOW spr round 17 (radius: 10)
[00:09:48 -1567.226543] SLOW spr round 18 (radius: 15)
[00:09:50 -1567.153604] SLOW spr round 19 (radius: 20)
[00:09:51 -1564.715638] SLOW spr round 20 (radius: 5)
[00:09:53 -1564.208913] SLOW spr round 21 (radius: 5)
[00:09:55 -1564.208309] SLOW spr round 22 (radius: 10)
[00:09:56 -1564.208302] SLOW spr round 23 (radius: 15)
[00:09:57 -1563.139136] SLOW spr round 24 (radius: 5)
[00:09:59 -1563.137434] SLOW spr round 25 (radius: 10)
[00:10:01 -1563.137377] SLOW spr round 26 (radius: 15)
[00:10:02 -1563.137374] SLOW spr round 27 (radius: 20)
[00:10:04 -1563.137374] SLOW spr round 28 (radius: 25)
[00:10:05 -1563.137374] Model parameter optimization (eps = 0.100000)

[00:10:06] ML tree search #14, logLikelihood: -1560.792718

[00:10:06 -2782.496938] Initial branch length optimization
[00:10:06 -2150.444877] Model parameter optimization (eps = 10.000000)
[00:10:06 -2140.066892] AUTODETECT spr round 1 (radius: 5)
[00:10:07 -1823.623285] AUTODETECT spr round 2 (radius: 10)
[00:10:08 -1722.954152] AUTODETECT spr round 3 (radius: 15)
[00:10:09 -1696.246324] AUTODETECT spr round 4 (radius: 20)
[00:10:10 -1683.202322] AUTODETECT spr round 5 (radius: 25)
[00:10:10 -1683.195240] SPR radius for FAST iterations: 20 (autodetect)
[00:10:10 -1683.195240] Model parameter optimization (eps = 3.000000)
[00:10:11 -1665.606036] FAST spr round 1 (radius: 20)
[00:10:12 -1558.139251] FAST spr round 2 (radius: 20)
[00:10:13 -1548.101043] FAST spr round 3 (radius: 20)
[00:10:13 -1544.362277] FAST spr round 4 (radius: 20)
[00:10:14 -1543.967577] FAST spr round 5 (radius: 20)
[00:10:15 -1543.224047] FAST spr round 6 (radius: 20)
[00:10:15 -1543.223437] Model parameter optimization (eps = 1.000000)
[00:10:16 -1542.035516] SLOW spr round 1 (radius: 5)
[00:10:18 -1541.180415] SLOW spr round 2 (radius: 5)
[00:10:19 -1541.179422] SLOW spr round 3 (radius: 10)
[00:10:20 -1541.179080] SLOW spr round 4 (radius: 15)
[00:10:22 -1536.492212] SLOW spr round 5 (radius: 5)
[00:10:24 -1536.421856] SLOW spr round 6 (radius: 10)
[00:10:25 -1536.420252] SLOW spr round 7 (radius: 15)
[00:10:27 -1536.139716] SLOW spr round 8 (radius: 5)
[00:10:29 -1536.124461] SLOW spr round 9 (radius: 10)
[00:10:30 -1536.124031] SLOW spr round 10 (radius: 15)
[00:10:31 -1536.123998] SLOW spr round 11 (radius: 20)
[00:10:33 -1536.123996] SLOW spr round 12 (radius: 25)
[00:10:34 -1536.123996] Model parameter optimization (eps = 0.100000)

[00:10:35] ML tree search #15, logLikelihood: -1535.885540

[00:10:35 -2762.772231] Initial branch length optimization
[00:10:35 -2187.229368] Model parameter optimization (eps = 10.000000)
[00:10:36 -2174.644061] AUTODETECT spr round 1 (radius: 5)
[00:10:37 -1928.528410] AUTODETECT spr round 2 (radius: 10)
[00:10:37 -1798.933767] AUTODETECT spr round 3 (radius: 15)
[00:10:38 -1648.190376] AUTODETECT spr round 4 (radius: 20)
[00:10:39 -1622.446003] AUTODETECT spr round 5 (radius: 25)
[00:10:40 -1619.634278] SPR radius for FAST iterations: 25 (autodetect)
[00:10:40 -1619.634278] Model parameter optimization (eps = 3.000000)
[00:10:40 -1608.412167] FAST spr round 1 (radius: 25)
[00:10:41 -1575.713082] FAST spr round 2 (radius: 25)
[00:10:42 -1556.094294] FAST spr round 3 (radius: 25)
[00:10:43 -1554.806472] FAST spr round 4 (radius: 25)
[00:10:44 -1554.468960] FAST spr round 5 (radius: 25)
[00:10:44 -1553.589836] FAST spr round 6 (radius: 25)
[00:10:45 -1550.287282] FAST spr round 7 (radius: 25)
[00:10:46 -1549.807356] FAST spr round 8 (radius: 25)
[00:10:46 -1549.789083] Model parameter optimization (eps = 1.000000)
[00:10:47 -1548.880035] SLOW spr round 1 (radius: 5)
[00:10:48 -1547.861895] SLOW spr round 2 (radius: 5)
[00:10:49 -1547.857882] SLOW spr round 3 (radius: 10)
[00:10:50 -1546.396505] SLOW spr round 4 (radius: 5)
[00:10:52 -1543.553083] SLOW spr round 5 (radius: 5)
[00:10:53 -1543.552113] SLOW spr round 6 (radius: 10)
[00:10:54 -1542.278952] SLOW spr round 7 (radius: 5)
[00:10:56 -1540.604016] SLOW spr round 8 (radius: 5)
[00:10:57 -1540.601674] SLOW spr round 9 (radius: 10)
[00:10:59 -1540.601535] SLOW spr round 10 (radius: 15)
[00:11:00 -1534.988715] SLOW spr round 11 (radius: 5)
[00:11:02 -1534.888109] SLOW spr round 12 (radius: 5)
[00:11:03 -1534.467837] SLOW spr round 13 (radius: 5)
[00:11:05 -1534.467398] SLOW spr round 14 (radius: 10)
[00:11:06 -1534.467346] SLOW spr round 15 (radius: 15)
[00:11:07 -1534.391324] SLOW spr round 16 (radius: 20)
[00:11:09 -1534.391272] SLOW spr round 17 (radius: 25)
[00:11:10 -1533.446879] SLOW spr round 18 (radius: 5)
[00:11:12 -1533.231139] SLOW spr round 19 (radius: 5)
[00:11:14 -1533.230888] SLOW spr round 20 (radius: 10)
[00:11:15 -1533.230859] SLOW spr round 21 (radius: 15)
[00:11:16 -1533.230856] SLOW spr round 22 (radius: 20)
[00:11:18 -1533.230856] SLOW spr round 23 (radius: 25)
[00:11:19 -1533.230856] Model parameter optimization (eps = 0.100000)

[00:11:20] ML tree search #16, logLikelihood: -1532.956947

[00:11:20 -2745.666084] Initial branch length optimization
[00:11:20 -2175.287655] Model parameter optimization (eps = 10.000000)
[00:11:20 -2166.294895] AUTODETECT spr round 1 (radius: 5)
[00:11:21 -1879.498647] AUTODETECT spr round 2 (radius: 10)
[00:11:22 -1659.603528] AUTODETECT spr round 3 (radius: 15)
[00:11:22 -1629.017811] AUTODETECT spr round 4 (radius: 20)
[00:11:23 -1624.175992] AUTODETECT spr round 5 (radius: 25)
[00:11:24 -1623.963948] SPR radius for FAST iterations: 25 (autodetect)
[00:11:24 -1623.963948] Model parameter optimization (eps = 3.000000)
[00:11:24 -1591.136528] FAST spr round 1 (radius: 25)
[00:11:25 -1553.991383] FAST spr round 2 (radius: 25)
[00:11:26 -1549.655662] FAST spr round 3 (radius: 25)
[00:11:27 -1548.050728] FAST spr round 4 (radius: 25)
[00:11:28 -1543.987151] FAST spr round 5 (radius: 25)
[00:11:28 -1543.914073] Model parameter optimization (eps = 1.000000)
[00:11:29 -1543.791669] SLOW spr round 1 (radius: 5)
[00:11:30 -1543.628454] SLOW spr round 2 (radius: 5)
[00:11:31 -1543.627820] SLOW spr round 3 (radius: 10)
[00:11:32 -1543.627715] SLOW spr round 4 (radius: 15)
[00:11:34 -1537.667375] SLOW spr round 5 (radius: 5)
[00:11:36 -1537.666431] SLOW spr round 6 (radius: 10)
[00:11:37 -1537.666416] SLOW spr round 7 (radius: 15)
[00:11:39 -1537.666412] SLOW spr round 8 (radius: 20)
[00:11:40 -1537.666411] SLOW spr round 9 (radius: 25)
[00:11:41 -1535.612769] SLOW spr round 10 (radius: 5)
[00:11:43 -1535.612588] SLOW spr round 11 (radius: 10)
[00:11:44 -1535.612548] SLOW spr round 12 (radius: 15)
[00:11:46 -1535.612534] SLOW spr round 13 (radius: 20)
[00:11:48 -1535.612526] SLOW spr round 14 (radius: 25)
[00:11:49 -1535.391203] SLOW spr round 15 (radius: 5)
[00:11:50 -1535.387429] SLOW spr round 16 (radius: 10)
[00:11:52 -1535.384737] SLOW spr round 17 (radius: 15)
[00:11:53 -1535.382940] SLOW spr round 18 (radius: 20)
[00:11:55 -1535.381832] SLOW spr round 19 (radius: 25)
[00:11:56 -1535.381196] Model parameter optimization (eps = 0.100000)

[00:11:56] ML tree search #17, logLikelihood: -1535.380023

[00:11:56 -2794.105037] Initial branch length optimization
[00:11:56 -2154.831252] Model parameter optimization (eps = 10.000000)
[00:11:57 -2135.386715] AUTODETECT spr round 1 (radius: 5)
[00:11:57 -1943.701462] AUTODETECT spr round 2 (radius: 10)
[00:11:58 -1760.290373] AUTODETECT spr round 3 (radius: 15)
[00:11:59 -1695.204269] AUTODETECT spr round 4 (radius: 20)
[00:12:00 -1692.868910] AUTODETECT spr round 5 (radius: 25)
[00:12:00 -1689.711939] SPR radius for FAST iterations: 25 (autodetect)
[00:12:00 -1689.711939] Model parameter optimization (eps = 3.000000)
[00:12:01 -1669.061147] FAST spr round 1 (radius: 25)
[00:12:02 -1578.407563] FAST spr round 2 (radius: 25)
[00:12:03 -1558.480562] FAST spr round 3 (radius: 25)
[00:12:04 -1554.805496] FAST spr round 4 (radius: 25)
[00:12:04 -1553.827440] FAST spr round 5 (radius: 25)
[00:12:05 -1551.016197] FAST spr round 6 (radius: 25)
[00:12:06 -1550.765217] FAST spr round 7 (radius: 25)
[00:12:07 -1550.763121] Model parameter optimization (eps = 1.000000)
[00:12:07 -1550.176187] SLOW spr round 1 (radius: 5)
[00:12:08 -1549.904326] SLOW spr round 2 (radius: 5)
[00:12:09 -1549.705452] SLOW spr round 3 (radius: 5)
[00:12:11 -1549.519291] SLOW spr round 4 (radius: 5)
[00:12:12 -1549.004879] SLOW spr round 5 (radius: 5)
[00:12:13 -1549.001251] SLOW spr round 6 (radius: 10)
[00:12:14 -1548.855158] SLOW spr round 7 (radius: 5)
[00:12:16 -1548.149699] SLOW spr round 8 (radius: 5)
[00:12:17 -1548.078985] SLOW spr round 9 (radius: 10)
[00:12:18 -1548.078617] SLOW spr round 10 (radius: 15)
[00:12:20 -1547.362452] SLOW spr round 11 (radius: 5)
[00:12:22 -1547.360965] SLOW spr round 12 (radius: 10)
[00:12:23 -1547.360700] SLOW spr round 13 (radius: 15)
[00:12:25 -1546.598651] SLOW spr round 14 (radius: 5)
[00:12:27 -1546.598499] SLOW spr round 15 (radius: 10)
[00:12:28 -1546.598464] SLOW spr round 16 (radius: 15)
[00:12:30 -1546.598453] SLOW spr round 17 (radius: 20)
[00:12:31 -1544.867172] SLOW spr round 18 (radius: 5)
[00:12:33 -1544.866932] SLOW spr round 19 (radius: 10)
[00:12:35 -1539.747801] SLOW spr round 20 (radius: 5)
[00:12:36 -1539.747793] SLOW spr round 21 (radius: 10)
[00:12:37 -1539.713752] SLOW spr round 22 (radius: 15)
[00:12:39 -1539.712823] SLOW spr round 23 (radius: 20)
[00:12:41 -1539.712780] SLOW spr round 24 (radius: 25)
[00:12:42 -1539.712776] Model parameter optimization (eps = 0.100000)

[00:12:42] ML tree search #18, logLikelihood: -1538.806325

[00:12:42 -2753.201254] Initial branch length optimization
[00:12:42 -2207.921818] Model parameter optimization (eps = 10.000000)
[00:12:43 -2180.410746] AUTODETECT spr round 1 (radius: 5)
[00:12:43 -1848.714026] AUTODETECT spr round 2 (radius: 10)
[00:12:44 -1714.730345] AUTODETECT spr round 3 (radius: 15)
[00:12:45 -1659.541479] AUTODETECT spr round 4 (radius: 20)
[00:12:46 -1644.258870] AUTODETECT spr round 5 (radius: 25)
[00:12:47 -1631.030217] SPR radius for FAST iterations: 25 (autodetect)
[00:12:47 -1631.030217] Model parameter optimization (eps = 3.000000)
[00:12:47 -1624.503178] FAST spr round 1 (radius: 25)
[00:12:48 -1575.392337] FAST spr round 2 (radius: 25)
[00:12:49 -1562.424322] FAST spr round 3 (radius: 25)
[00:12:50 -1543.968385] FAST spr round 4 (radius: 25)
[00:12:51 -1543.966437] Model parameter optimization (eps = 1.000000)
[00:12:52 -1542.135789] SLOW spr round 1 (radius: 5)
[00:12:54 -1541.087049] SLOW spr round 2 (radius: 5)
[00:12:55 -1539.944847] SLOW spr round 3 (radius: 5)
[00:12:56 -1539.944434] SLOW spr round 4 (radius: 10)
[00:12:57 -1538.811661] SLOW spr round 5 (radius: 5)
[00:12:59 -1538.809503] SLOW spr round 6 (radius: 10)
[00:13:00 -1537.793491] SLOW spr round 7 (radius: 5)
[00:13:02 -1537.793435] SLOW spr round 8 (radius: 10)
[00:13:03 -1537.793432] SLOW spr round 9 (radius: 15)
[00:13:05 -1537.563867] SLOW spr round 10 (radius: 5)
[00:13:06 -1537.299279] SLOW spr round 11 (radius: 5)
[00:13:08 -1536.914103] SLOW spr round 12 (radius: 5)
[00:13:09 -1536.914087] SLOW spr round 13 (radius: 10)
[00:13:10 -1536.914084] SLOW spr round 14 (radius: 15)
[00:13:12 -1536.914084] SLOW spr round 15 (radius: 20)
[00:13:13 -1536.914084] SLOW spr round 16 (radius: 25)
[00:13:15 -1536.914084] Model parameter optimization (eps = 0.100000)

[00:13:15] ML tree search #19, logLikelihood: -1536.572546

[00:13:15 -2779.880772] Initial branch length optimization
[00:13:15 -2187.044574] Model parameter optimization (eps = 10.000000)
[00:13:16 -2169.870295] AUTODETECT spr round 1 (radius: 5)
[00:13:16 -1857.858682] AUTODETECT spr round 2 (radius: 10)
[00:13:17 -1734.784885] AUTODETECT spr round 3 (radius: 15)
[00:13:18 -1671.088126] AUTODETECT spr round 4 (radius: 20)
[00:13:19 -1642.595593] AUTODETECT spr round 5 (radius: 25)
[00:13:20 -1642.595555] SPR radius for FAST iterations: 20 (autodetect)
[00:13:20 -1642.595555] Model parameter optimization (eps = 3.000000)
[00:13:20 -1625.080693] FAST spr round 1 (radius: 20)
[00:13:21 -1555.006232] FAST spr round 2 (radius: 20)
[00:13:22 -1548.780877] FAST spr round 3 (radius: 20)
[00:13:23 -1544.388174] FAST spr round 4 (radius: 20)
[00:13:23 -1542.122549] FAST spr round 5 (radius: 20)
[00:13:24 -1542.121052] Model parameter optimization (eps = 1.000000)
[00:13:25 -1541.692401] SLOW spr round 1 (radius: 5)
[00:13:26 -1541.411440] SLOW spr round 2 (radius: 5)
[00:13:27 -1541.409935] SLOW spr round 3 (radius: 10)
[00:13:29 -1541.409709] SLOW spr round 4 (radius: 15)
[00:13:30 -1541.035813] SLOW spr round 5 (radius: 5)
[00:13:32 -1541.035726] SLOW spr round 6 (radius: 10)
[00:13:34 -1541.035708] SLOW spr round 7 (radius: 15)
[00:13:35 -1541.035696] SLOW spr round 8 (radius: 20)
[00:13:37 -1540.165750] SLOW spr round 9 (radius: 5)
[00:13:39 -1540.165740] SLOW spr round 10 (radius: 10)
[00:13:40 -1540.165736] SLOW spr round 11 (radius: 15)
[00:13:42 -1540.165735] SLOW spr round 12 (radius: 20)
[00:13:44 -1540.165734] SLOW spr round 13 (radius: 25)
[00:13:45 -1539.839414] SLOW spr round 14 (radius: 5)
[00:13:47 -1539.839413] SLOW spr round 15 (radius: 10)
[00:13:48 -1539.839413] SLOW spr round 16 (radius: 15)
[00:13:50 -1539.839413] SLOW spr round 17 (radius: 20)
[00:13:52 -1539.839413] SLOW spr round 18 (radius: 25)
[00:13:53 -1539.839413] Model parameter optimization (eps = 0.100000)

[00:13:53] ML tree search #20, logLikelihood: -1539.839213


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.070290,0.053909) (0.000070,0.333623) (0.702898,0.921714) (0.226742,1.536180) 
   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: -1531.033191

AIC score: 3464.066382 / AICc score: 84668.066382 / BIC score: 3577.621203
Free parameters (model + branch lengths): 201

WARNING: Number of free parameters (K=201) is larger than alignment size (n=13).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 1 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NNX9/3_mltree/Q9NNX9.raxml.log

Analysis started: 12-Jul-2021 17:49:30 / finished: 12-Jul-2021 18:03:23

Elapsed time: 833.184 seconds