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 03-Jul-2021 05:16:30 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/2_msa/Q96GE5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/2_msa/Q96GE5_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 612 sites

WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_F6ZAL5_F6ZAL5_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_G7PXE1_G7PXE1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5NSA5_A0A2K5NSA5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2YYI0_A0A2I2YYI0_GORGO_9595 and tr_A0A2K5YEE6_A0A2K5YEE6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3QSA3_G3QSA3_GORGO_9595 and tr_H2QFF2_H2QFF2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QSA3_G3QSA3_GORGO_9595 and tr_A0A2R8ZEJ9_A0A2R8ZEJ9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SCR4_G3SCR4_GORGO_9595 and sp_Q7L945_ZN627_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3RPA8_A0A2I3RPA8_PANTR_9598 and tr_A0A2R8ZXM8_A0A2R8ZXM8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3S2B0_A0A2I3S2B0_PANTR_9598 and tr_A0A2R9BB51_A0A2R9BB51_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2J8QIB0_A0A2J8QIB0_PANTR_9598 and sp_Q5MCW4_ZN569_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G2HJ51_G2HJ51_PANTR_9598 and tr_A0A2R9AG22_A0A2R9AG22_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F7BWX0_F7BWX0_MACMU_9544 and tr_A0A2K6BBP3_A0A2K6BBP3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7CT89_F7CT89_MACMU_9544 and tr_G7PZG7_G7PZG7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7CT89_F7CT89_MACMU_9544 and tr_A0A2K6CV10_A0A2K6CV10_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7CT89_F7CT89_MACMU_9544 and tr_A0A2K6A5E0_A0A2K6A5E0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7E630_F7E630_MACMU_9544 and tr_A0A2K6BUN9_A0A2K6BUN9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7FTJ3_F7FTJ3_MACMU_9544 and tr_A0A2K6CFR0_A0A2K6CFR0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7FZE6_F7FZE6_MACMU_9544 and tr_G7PZF9_G7PZF9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7H7J0_F7H7J0_MACMU_9544 and tr_A0A096N0B5_A0A096N0B5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7HIL3_F7HIL3_MACMU_9544 and tr_G7PXF4_G7PXF4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7HIL3_F7HIL3_MACMU_9544 and tr_A0A2K6D0A2_A0A2K6D0A2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7PZH5_G7PZH5_MACFA_9541 and tr_A0A2K5NKZ6_A0A2K5NKZ6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0A0MV84_A0A0A0MV84_PAPAN_9555 and tr_A0A0D9QVX9_A0A0D9QVX9_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A0A0MWC0_A0A0A0MWC0_PAPAN_9555 and tr_A0A2K5LT78_A0A2K5LT78_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0A0MWC0_A0A0A0MWC0_PAPAN_9555 and tr_A0A2K5ZDE5_A0A2K5ZDE5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9R2V9_A0A0D9R2V9_CHLSB_60711 and tr_A0A2K5L4S5_A0A2K5L4S5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2K5LPU1_A0A2K5LPU1_CERAT_9531 and tr_A0A2K6A833_A0A2K6A833_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 27

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/Q96GE5/3_mltree/Q96GE5.raxml.reduced.phy

Alignment comprises 1 partitions and 612 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 612 / 612
Gaps: 11.15 %
Invariant sites: 0.33 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 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 / 88 / 7040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:01 -841758.740610] Initial branch length optimization
[00:00:05 -756536.552168] Model parameter optimization (eps = 10.000000)
[00:00:35 -756239.424664] AUTODETECT spr round 1 (radius: 5)
[00:02:51 -602477.963048] AUTODETECT spr round 2 (radius: 10)
[00:05:41 -427149.453252] AUTODETECT spr round 3 (radius: 15)
[00:09:08 -359208.917521] AUTODETECT spr round 4 (radius: 20)
[00:12:18 -347983.755522] AUTODETECT spr round 5 (radius: 25)
[00:16:07 -345333.199031] SPR radius for FAST iterations: 25 (autodetect)
[00:16:07 -345333.199031] Model parameter optimization (eps = 3.000000)
[00:16:33 -345192.881880] FAST spr round 1 (radius: 25)
[00:20:02 -315424.777525] FAST spr round 2 (radius: 25)
[00:22:40 -314495.049225] FAST spr round 3 (radius: 25)
[00:24:55 -314387.142418] FAST spr round 4 (radius: 25)
[00:27:01 -314364.178871] FAST spr round 5 (radius: 25)
[00:29:03 -314356.445656] FAST spr round 6 (radius: 25)
[00:30:59 -314356.445542] Model parameter optimization (eps = 1.000000)
[00:31:18 -314351.448706] SLOW spr round 1 (radius: 5)
[00:34:04 -314268.838791] SLOW spr round 2 (radius: 5)
[00:36:42 -314240.679181] SLOW spr round 3 (radius: 5)
[00:39:11 -314236.359288] SLOW spr round 4 (radius: 5)
[00:41:37 -314236.040024] SLOW spr round 5 (radius: 5)
[00:44:00 -314236.039987] SLOW spr round 6 (radius: 10)
[00:46:32 -314211.744931] SLOW spr round 7 (radius: 5)
[00:49:24 -314200.238879] SLOW spr round 8 (radius: 5)
[00:51:57 -314200.238855] SLOW spr round 9 (radius: 10)
[00:54:31 -314200.238855] SLOW spr round 10 (radius: 15)
[00:58:57 -314200.238854] SLOW spr round 11 (radius: 20)
[01:06:37 -314200.238854] SLOW spr round 12 (radius: 25)
[01:15:26 -314200.238854] Model parameter optimization (eps = 0.100000)

[01:15:35] ML tree search #1, logLikelihood: -314200.141911

[01:15:35 -842641.568234] Initial branch length optimization
[01:15:39 -756321.088148] Model parameter optimization (eps = 10.000000)
[01:16:06 -756071.911980] AUTODETECT spr round 1 (radius: 5)
[01:18:24 -605235.624160] AUTODETECT spr round 2 (radius: 10)
[01:21:08 -413394.047573] AUTODETECT spr round 3 (radius: 15)
[01:23:50 -356142.051040] AUTODETECT spr round 4 (radius: 20)
[01:27:12 -342207.500725] AUTODETECT spr round 5 (radius: 25)
[01:30:45 -339656.152333] SPR radius for FAST iterations: 25 (autodetect)
[01:30:45 -339656.152333] Model parameter optimization (eps = 3.000000)
[01:31:14 -339522.092162] FAST spr round 1 (radius: 25)
[01:34:25 -316225.948840] FAST spr round 2 (radius: 25)
[01:37:02 -315171.185509] FAST spr round 3 (radius: 25)
[01:39:22 -315100.037143] FAST spr round 4 (radius: 25)
[01:41:34 -315081.144637] FAST spr round 5 (radius: 25)
[01:43:35 -315078.551413] FAST spr round 6 (radius: 25)
[01:45:33 -315078.551247] Model parameter optimization (eps = 1.000000)
[01:45:49 -315074.371447] SLOW spr round 1 (radius: 5)
[01:48:29 -314872.197658] SLOW spr round 2 (radius: 5)
[01:51:04 -314843.863814] SLOW spr round 3 (radius: 5)
[01:53:32 -314841.452953] SLOW spr round 4 (radius: 5)
[01:55:56 -314841.452925] SLOW spr round 5 (radius: 10)
[01:58:27 -314834.176758] SLOW spr round 6 (radius: 5)
[02:01:19 -314827.716123] SLOW spr round 7 (radius: 5)
[02:03:58 -314823.264642] SLOW spr round 8 (radius: 5)
[02:06:29 -314823.264545] SLOW spr round 9 (radius: 10)
[02:09:02 -314820.948197] SLOW spr round 10 (radius: 5)
[02:11:54 -314814.605534] SLOW spr round 11 (radius: 5)
[02:14:31 -314814.605393] SLOW spr round 12 (radius: 10)
[02:17:09 -314814.605392] SLOW spr round 13 (radius: 15)
[02:21:18 -314808.872820] SLOW spr round 14 (radius: 5)
[02:24:16 -314807.375888] SLOW spr round 15 (radius: 5)
[02:26:58 -314801.935036] SLOW spr round 16 (radius: 5)
[02:29:30 -314800.115074] SLOW spr round 17 (radius: 5)
[02:31:58 -314800.115027] SLOW spr round 18 (radius: 10)
[02:34:30 -314798.680956] SLOW spr round 19 (radius: 5)
[02:37:19 -314798.680728] SLOW spr round 20 (radius: 10)
[02:40:05 -314798.680727] SLOW spr round 21 (radius: 15)
[02:44:00 -314798.680727] SLOW spr round 22 (radius: 20)
[02:50:07 -314798.680727] SLOW spr round 23 (radius: 25)
[02:57:40 -314798.244562] SLOW spr round 24 (radius: 5)
[03:00:40 -314798.244524] SLOW spr round 25 (radius: 10)
[03:03:42 -314798.244524] SLOW spr round 26 (radius: 15)
[03:07:31 -314798.244524] SLOW spr round 27 (radius: 20)
[03:13:38 -314798.244524] SLOW spr round 28 (radius: 25)
[03:21:05 -314798.244524] Model parameter optimization (eps = 0.100000)

[03:21:16] ML tree search #2, logLikelihood: -314798.033719

[03:21:16 -841016.486115] Initial branch length optimization
[03:21:19 -755831.551340] Model parameter optimization (eps = 10.000000)
[03:21:53 -755548.885776] AUTODETECT spr round 1 (radius: 5)
[03:24:10 -600496.991933] AUTODETECT spr round 2 (radius: 10)
[03:26:54 -416670.890117] AUTODETECT spr round 3 (radius: 15)
[03:29:40 -367162.009749] AUTODETECT spr round 4 (radius: 20)
[03:32:57 -354898.498149] AUTODETECT spr round 5 (radius: 25)
[03:37:10 -350693.096239] SPR radius for FAST iterations: 25 (autodetect)
[03:37:10 -350693.096239] Model parameter optimization (eps = 3.000000)
[03:37:33 -350483.056199] FAST spr round 1 (radius: 25)
[03:40:50 -316755.960760] FAST spr round 2 (radius: 25)
[03:43:31 -314609.309888] FAST spr round 3 (radius: 25)
[03:45:49 -314447.617330] FAST spr round 4 (radius: 25)
[03:47:53 -314441.107887] FAST spr round 5 (radius: 25)
[03:49:48 -314441.107846] Model parameter optimization (eps = 1.000000)
[03:50:01 -314433.445137] SLOW spr round 1 (radius: 5)
[03:52:39 -314350.498180] SLOW spr round 2 (radius: 5)
[03:55:13 -314324.977843] SLOW spr round 3 (radius: 5)
[03:57:37 -314320.921446] SLOW spr round 4 (radius: 5)
[03:59:58 -314320.921443] SLOW spr round 5 (radius: 10)
[04:02:27 -314298.565479] SLOW spr round 6 (radius: 5)
[04:05:18 -314269.733062] SLOW spr round 7 (radius: 5)
[04:07:55 -314267.258159] SLOW spr round 8 (radius: 5)
[04:10:26 -314267.258156] SLOW spr round 9 (radius: 10)
[04:13:03 -314264.615404] SLOW spr round 10 (radius: 5)
[04:15:53 -314264.615197] SLOW spr round 11 (radius: 10)
[04:18:43 -314264.615196] SLOW spr round 12 (radius: 15)
[04:22:56 -314264.615196] SLOW spr round 13 (radius: 20)
[04:30:40 -314264.615196] SLOW spr round 14 (radius: 25)
[04:39:46 -314264.615196] Model parameter optimization (eps = 0.100000)

[04:39:52] ML tree search #3, logLikelihood: -314264.574144

[04:39:52 -843945.651515] Initial branch length optimization
[04:39:56 -756582.797394] Model parameter optimization (eps = 10.000000)
[04:40:22 -756363.082620] AUTODETECT spr round 1 (radius: 5)
[04:42:42 -608908.058681] AUTODETECT spr round 2 (radius: 10)
[04:45:24 -418506.141945] AUTODETECT spr round 3 (radius: 15)
[04:48:17 -354996.908405] AUTODETECT spr round 4 (radius: 20)
[04:51:41 -345250.630732] AUTODETECT spr round 5 (radius: 25)
[04:55:37 -343906.717655] SPR radius for FAST iterations: 25 (autodetect)
[04:55:37 -343906.717655] Model parameter optimization (eps = 3.000000)
[04:56:00 -343754.119086] FAST spr round 1 (radius: 25)
[04:59:15 -316073.103420] FAST spr round 2 (radius: 25)
[05:01:42 -314893.283885] FAST spr round 3 (radius: 25)
[05:03:55 -314792.214350] FAST spr round 4 (radius: 25)
[05:05:59 -314774.446910] FAST spr round 5 (radius: 25)
[05:07:59 -314758.011109] FAST spr round 6 (radius: 25)
[05:09:56 -314751.702445] FAST spr round 7 (radius: 25)
[05:11:51 -314747.502827] FAST spr round 8 (radius: 25)
[05:13:46 -314725.715674] FAST spr round 9 (radius: 25)
[05:15:39 -314724.072578] FAST spr round 10 (radius: 25)
[05:17:31 -314724.072409] Model parameter optimization (eps = 1.000000)
[05:17:45 -314718.128877] SLOW spr round 1 (radius: 5)
[05:20:15 -314604.441997] SLOW spr round 2 (radius: 5)
[05:22:43 -314595.047836] SLOW spr round 3 (radius: 5)
[05:25:09 -314595.047809] SLOW spr round 4 (radius: 10)
[05:27:39 -314583.400795] SLOW spr round 5 (radius: 5)
[05:30:28 -314572.536866] SLOW spr round 6 (radius: 5)
[05:33:03 -314568.970431] SLOW spr round 7 (radius: 5)
[05:35:30 -314568.970384] SLOW spr round 8 (radius: 10)
[05:38:01 -314566.583953] SLOW spr round 9 (radius: 5)
[05:40:48 -314558.027718] SLOW spr round 10 (radius: 5)
[05:43:19 -314558.027500] SLOW spr round 11 (radius: 10)
[05:45:50 -314556.803132] SLOW spr round 12 (radius: 5)
[05:48:36 -314554.745578] SLOW spr round 13 (radius: 5)
[05:51:07 -314554.736317] SLOW spr round 14 (radius: 10)
[05:53:37 -314553.678666] SLOW spr round 15 (radius: 5)
[05:56:21 -314549.971845] SLOW spr round 16 (radius: 5)
[05:58:52 -314549.971800] SLOW spr round 17 (radius: 10)
[06:01:21 -314549.971797] SLOW spr round 18 (radius: 15)
[06:05:21 -314549.971795] SLOW spr round 19 (radius: 20)
[06:11:37 -314549.971792] SLOW spr round 20 (radius: 25)
[06:19:36 -314549.971790] Model parameter optimization (eps = 0.100000)

[06:19:48] ML tree search #4, logLikelihood: -314549.736805

[06:19:48 -840558.706406] Initial branch length optimization
[06:19:52 -754220.979440] Model parameter optimization (eps = 10.000000)
[06:20:22 -753986.473488] AUTODETECT spr round 1 (radius: 5)
[06:22:33 -598040.187236] AUTODETECT spr round 2 (radius: 10)
[06:25:11 -429053.547452] AUTODETECT spr round 3 (radius: 15)
[06:27:48 -360467.684833] AUTODETECT spr round 4 (radius: 20)
[06:30:33 -348029.480964] AUTODETECT spr round 5 (radius: 25)
[06:33:35 -345723.514778] SPR radius for FAST iterations: 25 (autodetect)
[06:33:35 -345723.514778] Model parameter optimization (eps = 3.000000)
[06:33:57 -345581.418431] FAST spr round 1 (radius: 25)
[06:36:58 -316351.930053] FAST spr round 2 (radius: 25)
[06:39:25 -314798.084671] FAST spr round 3 (radius: 25)
[06:41:44 -314398.995555] FAST spr round 4 (radius: 25)
[06:43:57 -314344.235191] FAST spr round 5 (radius: 25)
[06:45:54 -314330.684815] FAST spr round 6 (radius: 25)
[06:47:51 -314323.665574] FAST spr round 7 (radius: 25)
[06:49:42 -314323.665509] Model parameter optimization (eps = 1.000000)
[06:49:59 -314317.001051] SLOW spr round 1 (radius: 5)
[06:52:31 -314224.339145] SLOW spr round 2 (radius: 5)
[06:55:02 -314218.871706] SLOW spr round 3 (radius: 5)
[06:57:24 -314213.060185] SLOW spr round 4 (radius: 5)
[06:59:44 -314212.838232] SLOW spr round 5 (radius: 5)
[07:02:05 -314212.838223] SLOW spr round 6 (radius: 10)
[07:04:35 -314207.044882] SLOW spr round 7 (radius: 5)
[07:07:22 -314198.147629] SLOW spr round 8 (radius: 5)
[07:09:55 -314198.147574] SLOW spr round 9 (radius: 10)
[07:12:27 -314198.147573] SLOW spr round 10 (radius: 15)
[07:16:23 -314197.295855] SLOW spr round 11 (radius: 5)
[07:19:17 -314194.794498] SLOW spr round 12 (radius: 5)
[07:21:54 -314193.281026] SLOW spr round 13 (radius: 5)
[07:24:23 -314191.554140] SLOW spr round 14 (radius: 5)
[07:26:48 -314191.554136] SLOW spr round 15 (radius: 10)
[07:29:17 -314191.554134] SLOW spr round 16 (radius: 15)
[07:33:22 -314191.554132] SLOW spr round 17 (radius: 20)
[07:39:08 -314191.554130] SLOW spr round 18 (radius: 25)
[07:46:03 -314191.554128] Model parameter optimization (eps = 0.100000)

[07:46:18] ML tree search #5, logLikelihood: -314191.137821

[07:46:18 -840899.314799] Initial branch length optimization
[07:46:22 -755428.398789] Model parameter optimization (eps = 10.000000)
[07:46:48 -755178.271189] AUTODETECT spr round 1 (radius: 5)
[07:49:02 -599609.639123] AUTODETECT spr round 2 (radius: 10)
[07:51:46 -427256.257942] AUTODETECT spr round 3 (radius: 15)
[07:54:37 -359733.803823] AUTODETECT spr round 4 (radius: 20)
[07:57:34 -344071.248005] AUTODETECT spr round 5 (radius: 25)
[08:00:46 -343424.525242] SPR radius for FAST iterations: 25 (autodetect)
[08:00:46 -343424.525242] Model parameter optimization (eps = 3.000000)
[08:01:07 -343239.194665] FAST spr round 1 (radius: 25)
[08:04:12 -316437.625934] FAST spr round 2 (radius: 25)
[08:06:50 -314588.771770] FAST spr round 3 (radius: 25)
[08:09:13 -314371.125616] FAST spr round 4 (radius: 25)
[08:11:21 -314327.297716] FAST spr round 5 (radius: 25)
[08:13:26 -314265.745593] FAST spr round 6 (radius: 25)
[08:15:27 -314257.456634] FAST spr round 7 (radius: 25)
[08:17:25 -314254.866218] FAST spr round 8 (radius: 25)
[08:19:21 -314254.866198] Model parameter optimization (eps = 1.000000)
[08:19:35 -314252.693174] SLOW spr round 1 (radius: 5)
[08:22:18 -314130.380047] SLOW spr round 2 (radius: 5)
[08:24:56 -314109.962736] SLOW spr round 3 (radius: 5)
[08:27:22 -314108.675154] SLOW spr round 4 (radius: 5)
[08:29:48 -314108.675147] SLOW spr round 5 (radius: 10)
[08:32:20 -314094.080574] SLOW spr round 6 (radius: 5)
[08:35:08 -314091.564619] SLOW spr round 7 (radius: 5)
[08:37:41 -314091.564582] SLOW spr round 8 (radius: 10)
[08:40:12 -314091.564579] SLOW spr round 9 (radius: 15)
[08:44:05 -314091.564576] SLOW spr round 10 (radius: 20)
[08:50:03 -314083.428570] SLOW spr round 11 (radius: 5)
[08:52:59 -314081.816111] SLOW spr round 12 (radius: 5)
[08:55:38 -314081.815726] SLOW spr round 13 (radius: 10)
[08:58:13 -314080.794607] SLOW spr round 14 (radius: 5)
[09:01:02 -314078.288074] SLOW spr round 15 (radius: 5)
[09:03:35 -314078.288036] SLOW spr round 16 (radius: 10)
[09:06:04 -314078.288033] SLOW spr round 17 (radius: 15)
[09:09:58 -314078.288030] SLOW spr round 18 (radius: 20)
[09:15:57 -314078.288027] SLOW spr round 19 (radius: 25)
[09:23:17 -314070.494925] SLOW spr round 20 (radius: 5)
[09:26:11 -314069.111570] SLOW spr round 21 (radius: 5)
[09:28:48 -314065.858351] SLOW spr round 22 (radius: 5)
[09:31:17 -314054.859520] SLOW spr round 23 (radius: 5)
[09:33:41 -314054.859512] SLOW spr round 24 (radius: 10)
[09:36:04 -314054.859509] SLOW spr round 25 (radius: 15)
[09:40:02 -314054.859507] SLOW spr round 26 (radius: 20)
[09:45:55 -314054.859504] SLOW spr round 27 (radius: 25)
[09:53:18 -314054.859501] Model parameter optimization (eps = 0.100000)

[09:57:12] ML tree search #6, logLikelihood: -314054.751747

[09:57:12 -845974.900779] Initial branch length optimization
[09:57:15 -757930.732763] Model parameter optimization (eps = 10.000000)
[09:57:42 -757691.434820] AUTODETECT spr round 1 (radius: 5)
[09:59:56 -614550.480925] AUTODETECT spr round 2 (radius: 10)
[10:02:31 -426392.273162] AUTODETECT spr round 3 (radius: 15)
[10:05:12 -362279.211535] AUTODETECT spr round 4 (radius: 20)
[10:08:32 -346838.966526] AUTODETECT spr round 5 (radius: 25)
[10:12:30 -343393.582266] SPR radius for FAST iterations: 25 (autodetect)
[10:12:30 -343393.582266] Model parameter optimization (eps = 3.000000)
[10:12:51 -343213.302254] FAST spr round 1 (radius: 25)
[10:15:54 -315615.028560] FAST spr round 2 (radius: 25)
[10:18:11 -314412.457664] FAST spr round 3 (radius: 25)
[10:20:21 -314334.049046] FAST spr round 4 (radius: 25)
[10:22:25 -314305.277201] FAST spr round 5 (radius: 25)
[10:24:23 -314296.127537] FAST spr round 6 (radius: 25)
[10:26:17 -314286.858515] FAST spr round 7 (radius: 25)
[10:28:09 -314285.533973] FAST spr round 8 (radius: 25)
[10:30:00 -314285.533896] Model parameter optimization (eps = 1.000000)
[10:30:15 -314277.431608] SLOW spr round 1 (radius: 5)
[10:32:44 -314175.588052] SLOW spr round 2 (radius: 5)
[10:35:10 -314173.315221] SLOW spr round 3 (radius: 5)
[10:37:28 -314173.315189] SLOW spr round 4 (radius: 10)
[10:39:50 -314165.639351] SLOW spr round 5 (radius: 5)
[10:42:33 -314160.802315] SLOW spr round 6 (radius: 5)
[10:44:56 -314160.802236] SLOW spr round 7 (radius: 10)
[10:47:20 -314160.802234] SLOW spr round 8 (radius: 15)
[10:51:12 -314157.680887] SLOW spr round 9 (radius: 5)
[10:53:57 -314148.280962] SLOW spr round 10 (radius: 5)
[10:56:27 -314143.751232] SLOW spr round 11 (radius: 5)
[10:58:48 -314143.010916] SLOW spr round 12 (radius: 5)
[11:01:05 -314143.010798] SLOW spr round 13 (radius: 10)
[11:03:28 -314143.010796] SLOW spr round 14 (radius: 15)
[11:07:32 -314143.010794] SLOW spr round 15 (radius: 20)
[11:13:41 -314140.764175] SLOW spr round 16 (radius: 5)
[11:16:36 -314112.673067] SLOW spr round 17 (radius: 5)
[11:19:07 -314112.673034] SLOW spr round 18 (radius: 10)
[11:21:38 -314112.673032] SLOW spr round 19 (radius: 15)
[11:25:27 -314112.673030] SLOW spr round 20 (radius: 20)
[11:31:30 -314112.673028] SLOW spr round 21 (radius: 25)
[11:38:54 -314112.673026] Model parameter optimization (eps = 0.100000)

[11:39:06] ML tree search #7, logLikelihood: -314112.082170

[11:39:07 -844230.831453] Initial branch length optimization
[11:39:10 -756515.931009] Model parameter optimization (eps = 10.000000)
[11:39:41 -756271.933142] AUTODETECT spr round 1 (radius: 5)
[11:41:47 -607761.656621] AUTODETECT spr round 2 (radius: 10)
[11:44:20 -436427.722404] AUTODETECT spr round 3 (radius: 15)
[11:47:21 -388698.328149] AUTODETECT spr round 4 (radius: 20)
[12:09:42 -361598.346564] AUTODETECT spr round 5 (radius: 25)
[12:44:24 -352475.008457] SPR radius for FAST iterations: 25 (autodetect)
[12:44:24 -352475.008457] Model parameter optimization (eps = 3.000000)
[12:44:52 -352299.016080] FAST spr round 1 (radius: 25)
[14:10:46 -316360.726771] FAST spr round 2 (radius: 25)
[14:20:55 -314693.426215] FAST spr round 3 (radius: 25)
[14:28:09 -314474.102577] FAST spr round 4 (radius: 25)
[15:55:36 -314433.462883] FAST spr round 5 (radius: 25)
[18:33:08 -314429.361552] FAST spr round 6 (radius: 25)
[19:10:22 -314429.361549] Model parameter optimization (eps = 1.000000)
[19:10:32 -314427.267453] SLOW spr round 1 (radius: 5)
[19:13:06 -314311.023499] SLOW spr round 2 (radius: 5)
[19:15:24 -314306.402342] SLOW spr round 3 (radius: 5)
[19:17:40 -314306.402101] SLOW spr round 4 (radius: 10)
[19:20:00 -314294.679420] SLOW spr round 5 (radius: 5)
[19:22:39 -314288.956546] SLOW spr round 6 (radius: 5)
[19:25:02 -314288.956524] SLOW spr round 7 (radius: 10)
[19:27:24 -314288.956522] SLOW spr round 8 (radius: 15)
[19:31:06 -314288.956520] SLOW spr round 9 (radius: 20)
[19:36:33 -314288.956518] SLOW spr round 10 (radius: 25)
[19:42:36 -314288.956517] Model parameter optimization (eps = 0.100000)

[19:42:41] ML tree search #8, logLikelihood: -314288.891592

[19:42:41 -841950.551856] Initial branch length optimization
[19:42:45 -755162.896099] Model parameter optimization (eps = 10.000000)
[19:43:08 -754858.001511] AUTODETECT spr round 1 (radius: 5)
[19:45:14 -595172.983962] AUTODETECT spr round 2 (radius: 10)
[19:47:51 -429308.634119] AUTODETECT spr round 3 (radius: 15)
[19:51:01 -367051.500542] AUTODETECT spr round 4 (radius: 20)
[19:54:01 -353149.787702] AUTODETECT spr round 5 (radius: 25)
[19:57:16 -351142.694470] SPR radius for FAST iterations: 25 (autodetect)
[19:57:16 -351142.694470] Model parameter optimization (eps = 3.000000)
[19:57:36 -350976.931226] FAST spr round 1 (radius: 25)
[20:00:39 -323455.209893] FAST spr round 2 (radius: 25)
[20:03:02 -321987.370719] FAST spr round 3 (radius: 25)
[20:05:13 -321837.026325] FAST spr round 4 (radius: 25)
[20:07:09 -321810.176633] FAST spr round 5 (radius: 25)
[20:08:54 -321808.303413] FAST spr round 6 (radius: 25)
[20:10:41 -321808.303408] Model parameter optimization (eps = 1.000000)
[20:10:51 -321805.199338] SLOW spr round 1 (radius: 5)
[20:13:23 -321684.557651] SLOW spr round 2 (radius: 5)
[20:15:43 -321655.833020] SLOW spr round 3 (radius: 5)
[20:17:57 -321633.375655] SLOW spr round 4 (radius: 5)
[20:20:09 -321632.114722] SLOW spr round 5 (radius: 5)
[20:22:24 -321631.224219] SLOW spr round 6 (radius: 5)
[20:24:39 -321631.224217] SLOW spr round 7 (radius: 10)
[20:26:55 -321630.512247] SLOW spr round 8 (radius: 5)
[20:29:29 -321628.310726] SLOW spr round 9 (radius: 5)
[20:31:52 -321628.310724] SLOW spr round 10 (radius: 10)
[20:34:15 -321628.310724] SLOW spr round 11 (radius: 15)
[20:38:19 -321620.502235] SLOW spr round 12 (radius: 5)
[20:41:05 -321611.603009] SLOW spr round 13 (radius: 5)
[20:43:33 -321611.602951] SLOW spr round 14 (radius: 10)
[20:45:57 -321611.602951] SLOW spr round 15 (radius: 15)
[20:49:58 -321611.602951] SLOW spr round 16 (radius: 20)
[20:56:07 -321611.602951] SLOW spr round 17 (radius: 25)
[21:02:36 -321611.602951] Model parameter optimization (eps = 0.100000)

[21:02:46] ML tree search #9, logLikelihood: -321611.077810

[21:02:46 -842748.853536] Initial branch length optimization
[21:02:49 -756218.039106] Model parameter optimization (eps = 10.000000)
[21:03:17 -755942.793862] AUTODETECT spr round 1 (radius: 5)
[21:05:23 -602740.348877] AUTODETECT spr round 2 (radius: 10)
[21:07:57 -410958.418779] AUTODETECT spr round 3 (radius: 15)
[21:10:32 -356191.355517] AUTODETECT spr round 4 (radius: 20)
[21:13:26 -345146.912370] AUTODETECT spr round 5 (radius: 25)
[21:16:39 -341611.562697] SPR radius for FAST iterations: 25 (autodetect)
[21:16:39 -341611.562697] Model parameter optimization (eps = 3.000000)
[21:17:00 -341430.836357] FAST spr round 1 (radius: 25)
[21:20:03 -316769.336293] FAST spr round 2 (radius: 25)
[21:22:33 -314703.274088] FAST spr round 3 (radius: 25)
[21:24:45 -314292.113561] FAST spr round 4 (radius: 25)
[21:26:43 -314256.725271] FAST spr round 5 (radius: 25)
[23:12:13 -314243.672990] FAST spr round 6 (radius: 25)
[26:00:16 -314237.618733] FAST spr round 7 (radius: 25)
[27:11:36 -314237.618697] Model parameter optimization (eps = 1.000000)
[27:20:59 -314229.095321] SLOW spr round 1 (radius: 5)
[53:24:10 -314123.586298] SLOW spr round 2 (radius: 5)
[53:30:21 -314115.947556] SLOW spr round 3 (radius: 5)
[53:35:31 -314109.791338] SLOW spr round 4 (radius: 5)
[53:53:31 -314107.611751] SLOW spr round 5 (radius: 5)
[53:59:28 -314105.342486] SLOW spr round 6 (radius: 5)
[54:05:41 -314105.032292] SLOW spr round 7 (radius: 5)
[54:21:37 -314105.032150] SLOW spr round 8 (radius: 10)
[55:10:13 -314105.032147] SLOW spr round 9 (radius: 15)
[61:22:11 -314096.705132] SLOW spr round 10 (radius: 5)
[61:25:08 -314095.674104] SLOW spr round 11 (radius: 5)
[61:27:46 -314095.674074] SLOW spr round 12 (radius: 10)
[61:30:22 -314095.674071] SLOW spr round 13 (radius: 15)
[61:34:25 -314095.674068] SLOW spr round 14 (radius: 20)
[61:40:42 -314095.674065] SLOW spr round 15 (radius: 25)
[61:48:01 -314095.674062] Model parameter optimization (eps = 0.100000)

[61:48:06] ML tree search #10, logLikelihood: -314095.660150

[61:48:06 -841310.710544] Initial branch length optimization
[61:48:09 -753934.519277] Model parameter optimization (eps = 10.000000)
[61:48:41 -753667.482501] AUTODETECT spr round 1 (radius: 5)
[61:50:55 -588351.740167] AUTODETECT spr round 2 (radius: 10)
[61:53:33 -428456.154347] AUTODETECT spr round 3 (radius: 15)
[61:56:28 -362094.049343] AUTODETECT spr round 4 (radius: 20)
[61:59:36 -347161.560885] AUTODETECT spr round 5 (radius: 25)
[62:03:15 -346284.742487] SPR radius for FAST iterations: 25 (autodetect)
[62:03:15 -346284.742487] Model parameter optimization (eps = 3.000000)
[62:03:36 -346082.062279] FAST spr round 1 (radius: 25)
[62:06:51 -316531.204080] FAST spr round 2 (radius: 25)
[62:09:21 -315467.416484] FAST spr round 3 (radius: 25)
[62:11:36 -315408.039214] FAST spr round 4 (radius: 25)
[62:13:42 -315395.602675] FAST spr round 5 (radius: 25)
[62:15:41 -315389.508195] FAST spr round 6 (radius: 25)
[62:17:36 -315389.508088] Model parameter optimization (eps = 1.000000)
[62:17:47 -315384.747572] SLOW spr round 1 (radius: 5)
[62:20:29 -315244.259375] SLOW spr round 2 (radius: 5)
[62:23:07 -315223.835206] SLOW spr round 3 (radius: 5)
[62:25:35 -315219.123491] SLOW spr round 4 (radius: 5)
[62:28:00 -315219.123477] SLOW spr round 5 (radius: 10)
[62:30:32 -315207.817240] SLOW spr round 6 (radius: 5)
[62:33:24 -315191.207785] SLOW spr round 7 (radius: 5)
[62:36:01 -315190.677982] SLOW spr round 8 (radius: 5)
[62:38:32 -315190.677834] SLOW spr round 9 (radius: 10)
[62:41:05 -315189.836093] SLOW spr round 10 (radius: 5)
[62:43:56 -315182.448086] SLOW spr round 11 (radius: 5)
[62:46:35 -315170.737224] SLOW spr round 12 (radius: 5)
[62:49:09 -315158.004382] SLOW spr round 13 (radius: 5)
[62:51:38 -315156.368744] SLOW spr round 14 (radius: 5)
[62:54:06 -315156.368738] SLOW spr round 15 (radius: 10)
[62:56:37 -315156.368735] SLOW spr round 16 (radius: 15)
[63:00:33 -315151.703381] SLOW spr round 17 (radius: 5)
[63:03:34 -315149.837489] SLOW spr round 18 (radius: 5)
[63:06:18 -315142.871058] SLOW spr round 19 (radius: 5)
[63:08:51 -315138.739478] SLOW spr round 20 (radius: 5)
[63:11:19 -315138.739407] SLOW spr round 21 (radius: 10)
[63:13:50 -315138.739404] SLOW spr round 22 (radius: 15)
[63:17:43 -315134.529604] SLOW spr round 23 (radius: 5)
[63:20:41 -315129.334973] SLOW spr round 24 (radius: 5)
[63:23:21 -315129.334911] SLOW spr round 25 (radius: 10)
[63:25:57 -315129.334909] SLOW spr round 26 (radius: 15)
[63:29:38 -315129.334907] SLOW spr round 27 (radius: 20)
[63:35:06 -315129.334905] SLOW spr round 28 (radius: 25)
[63:40:55 -315129.334902] Model parameter optimization (eps = 0.100000)

[63:41:06] ML tree search #11, logLikelihood: -315129.132759

[63:41:06 -842108.578545] Initial branch length optimization
[63:41:10 -755378.991114] Model parameter optimization (eps = 10.000000)
[63:41:37 -755120.196011] AUTODETECT spr round 1 (radius: 5)
[63:43:50 -594979.308933] AUTODETECT spr round 2 (radius: 10)
[63:46:31 -427085.769411] AUTODETECT spr round 3 (radius: 15)
[63:49:21 -360537.092916] AUTODETECT spr round 4 (radius: 20)
[63:52:31 -352005.134054] AUTODETECT spr round 5 (radius: 25)
[63:55:55 -347951.385734] SPR radius for FAST iterations: 25 (autodetect)
[63:55:55 -347951.385734] Model parameter optimization (eps = 3.000000)
[63:56:22 -347806.540527] FAST spr round 1 (radius: 25)
[63:59:29 -318721.233580] FAST spr round 2 (radius: 25)
[64:02:02 -317193.629718] FAST spr round 3 (radius: 25)
[64:04:18 -317026.789118] FAST spr round 4 (radius: 25)
[64:06:24 -317010.741453] FAST spr round 5 (radius: 25)
[64:08:21 -317010.741449] Model parameter optimization (eps = 1.000000)
[64:08:32 -317010.214236] SLOW spr round 1 (radius: 5)
[64:11:16 -316905.352530] SLOW spr round 2 (radius: 5)
[64:13:54 -316886.406627] SLOW spr round 3 (radius: 5)
[64:16:22 -316880.604552] SLOW spr round 4 (radius: 5)
[64:18:50 -316880.604500] SLOW spr round 5 (radius: 10)
[64:21:22 -316865.292786] SLOW spr round 6 (radius: 5)
[64:24:12 -316849.081392] SLOW spr round 7 (radius: 5)
[64:26:47 -316841.613134] SLOW spr round 8 (radius: 5)
[64:29:15 -316841.613112] SLOW spr round 9 (radius: 10)
[64:31:48 -316840.983054] SLOW spr round 10 (radius: 5)
[64:34:33 -316840.982985] SLOW spr round 11 (radius: 10)
[64:37:18 -316840.880203] SLOW spr round 12 (radius: 5)
[64:40:02 -316840.880124] SLOW spr round 13 (radius: 10)
[64:42:46 -316840.509935] SLOW spr round 14 (radius: 5)
[64:45:31 -316836.080635] SLOW spr round 15 (radius: 5)
[64:48:01 -316836.080604] SLOW spr round 16 (radius: 10)
[64:50:33 -316836.080603] SLOW spr round 17 (radius: 15)
[64:54:24 -316821.090689] SLOW spr round 18 (radius: 5)
[64:57:15 -316818.035297] SLOW spr round 19 (radius: 5)
[64:59:49 -316818.035290] SLOW spr round 20 (radius: 10)
[65:02:23 -316818.035290] SLOW spr round 21 (radius: 15)
[65:06:09 -316818.035290] SLOW spr round 22 (radius: 20)
[65:11:53 -316818.035290] SLOW spr round 23 (radius: 25)
[65:17:55 -316818.035289] Model parameter optimization (eps = 0.100000)

[65:18:06] ML tree search #12, logLikelihood: -316817.703956

[65:18:06 -847110.540305] Initial branch length optimization
[65:18:10 -758652.957196] Model parameter optimization (eps = 10.000000)
[65:18:35 -758436.236047] AUTODETECT spr round 1 (radius: 5)
[65:20:51 -610170.707759] AUTODETECT spr round 2 (radius: 10)
[65:23:36 -437977.564230] AUTODETECT spr round 3 (radius: 15)
[65:26:39 -373099.472820] AUTODETECT spr round 4 (radius: 20)
[65:29:47 -356153.568973] AUTODETECT spr round 5 (radius: 25)
[65:33:02 -348765.136631] SPR radius for FAST iterations: 25 (autodetect)
[65:33:02 -348765.136631] Model parameter optimization (eps = 3.000000)
[65:33:24 -348585.451896] FAST spr round 1 (radius: 25)
[65:36:42 -316186.921871] FAST spr round 2 (radius: 25)
[65:39:16 -314467.210289] FAST spr round 3 (radius: 25)
[65:41:29 -314379.435499] FAST spr round 4 (radius: 25)
[65:43:35 -314333.300370] FAST spr round 5 (radius: 25)
[65:45:29 -314332.599273] FAST spr round 6 (radius: 25)
[65:47:21 -314332.599198] Model parameter optimization (eps = 1.000000)
[65:47:36 -314328.035715] SLOW spr round 1 (radius: 5)
[65:50:13 -314239.175582] SLOW spr round 2 (radius: 5)
[65:52:43 -314216.188392] SLOW spr round 3 (radius: 5)
[65:55:07 -314213.104847] SLOW spr round 4 (radius: 5)
[65:57:30 -314205.767325] SLOW spr round 5 (radius: 5)
[65:59:50 -314202.560081] SLOW spr round 6 (radius: 5)
[66:02:08 -314202.560067] SLOW spr round 7 (radius: 10)
[66:04:31 -314194.792819] SLOW spr round 8 (radius: 5)
[66:07:16 -314187.382446] SLOW spr round 9 (radius: 5)
[66:09:45 -314187.181353] SLOW spr round 10 (radius: 5)
[66:12:07 -314187.181316] SLOW spr round 11 (radius: 10)
[66:14:31 -314186.172922] SLOW spr round 12 (radius: 5)
[66:17:17 -314157.566435] SLOW spr round 13 (radius: 5)
[66:19:46 -314157.536944] SLOW spr round 14 (radius: 10)
[66:22:37 -314156.989181] SLOW spr round 15 (radius: 5)
[66:25:21 -314155.655194] SLOW spr round 16 (radius: 5)
[66:27:52 -314155.655178] SLOW spr round 17 (radius: 10)
[66:30:21 -314155.655176] SLOW spr round 18 (radius: 15)
[66:35:01 -314149.906216] SLOW spr round 19 (radius: 5)
[66:37:57 -314148.170246] SLOW spr round 20 (radius: 5)
[66:40:36 -314148.170218] SLOW spr round 21 (radius: 10)
[66:43:13 -314144.364946] SLOW spr round 22 (radius: 5)
[66:45:59 -314142.233759] SLOW spr round 23 (radius: 5)
[67:11:14 -314142.233745] SLOW spr round 24 (radius: 10)
[67:13:47 -314142.233743] SLOW spr round 25 (radius: 15)
[67:17:57 -314142.233741] SLOW spr round 26 (radius: 20)
[67:24:19 -314142.233739] SLOW spr round 27 (radius: 25)
[67:31:55 -314142.233737] Model parameter optimization (eps = 0.100000)

[67:32:08] ML tree search #13, logLikelihood: -314141.532061

[67:32:09 -843833.117154] Initial branch length optimization
[67:32:12 -757767.631537] Model parameter optimization (eps = 10.000000)
[67:32:38 -757524.482081] AUTODETECT spr round 1 (radius: 5)
[67:34:54 -609454.680518] AUTODETECT spr round 2 (radius: 10)
[67:37:34 -422841.882399] AUTODETECT spr round 3 (radius: 15)
[67:40:27 -351832.706637] AUTODETECT spr round 4 (radius: 20)
[67:43:43 -343109.153390] AUTODETECT spr round 5 (radius: 25)
[67:47:19 -340020.351295] SPR radius for FAST iterations: 25 (autodetect)
[67:47:19 -340020.351295] Model parameter optimization (eps = 3.000000)
[67:47:43 -339846.584402] FAST spr round 1 (radius: 25)
[67:50:57 -315852.757530] FAST spr round 2 (radius: 25)
[67:53:29 -314459.957731] FAST spr round 3 (radius: 25)
[67:55:53 -314304.356577] FAST spr round 4 (radius: 25)
[67:58:02 -314280.034984] FAST spr round 5 (radius: 25)
[68:00:02 -314268.985948] FAST spr round 6 (radius: 25)
[68:02:00 -314266.127140] FAST spr round 7 (radius: 25)
[68:03:55 -314266.127095] Model parameter optimization (eps = 1.000000)
[68:04:11 -314262.499800] SLOW spr round 1 (radius: 5)
[68:06:49 -314174.764719] SLOW spr round 2 (radius: 5)
[68:09:22 -314173.704391] SLOW spr round 3 (radius: 5)
[68:11:48 -314173.703610] SLOW spr round 4 (radius: 10)
[68:14:20 -314145.211999] SLOW spr round 5 (radius: 5)
[68:17:16 -314120.304925] SLOW spr round 6 (radius: 5)
[68:19:49 -314120.304894] SLOW spr round 7 (radius: 10)
[68:22:22 -314120.304892] SLOW spr round 8 (radius: 15)
[68:26:25 -314120.304890] SLOW spr round 9 (radius: 20)
[68:32:58 -314116.099625] SLOW spr round 10 (radius: 5)
[68:35:54 -314109.692155] SLOW spr round 11 (radius: 5)
[68:38:32 -314109.692119] SLOW spr round 12 (radius: 10)
[68:41:09 -314109.692118] SLOW spr round 13 (radius: 15)
[68:45:08 -314109.692116] SLOW spr round 14 (radius: 20)
[68:51:41 -314109.692114] SLOW spr round 15 (radius: 25)
[68:59:28 -314109.692112] Model parameter optimization (eps = 0.100000)

[68:59:43] ML tree search #14, logLikelihood: -314107.046255

[68:59:43 -844963.207207] Initial branch length optimization
[68:59:46 -757389.552801] Model parameter optimization (eps = 10.000000)
[69:00:13 -757136.473936] AUTODETECT spr round 1 (radius: 5)
[69:02:33 -608031.632803] AUTODETECT spr round 2 (radius: 10)
[69:05:15 -429178.803955] AUTODETECT spr round 3 (radius: 15)
[69:08:05 -359925.395651] AUTODETECT spr round 4 (radius: 20)
[69:11:23 -347921.460674] AUTODETECT spr round 5 (radius: 25)
[69:15:22 -346550.746237] SPR radius for FAST iterations: 25 (autodetect)
[69:15:22 -346550.746237] Model parameter optimization (eps = 3.000000)
[69:15:44 -346386.643662] FAST spr round 1 (radius: 25)
[69:19:03 -316000.784113] FAST spr round 2 (radius: 25)
[69:21:42 -314597.606373] FAST spr round 3 (radius: 25)
[69:24:02 -314415.521529] FAST spr round 4 (radius: 25)
[69:26:04 -314394.095459] FAST spr round 5 (radius: 25)
[69:28:01 -314392.162374] FAST spr round 6 (radius: 25)
[69:29:55 -314392.162349] Model parameter optimization (eps = 1.000000)
[69:30:08 -314389.298863] SLOW spr round 1 (radius: 5)
[69:32:48 -314304.811815] SLOW spr round 2 (radius: 5)
[69:35:21 -314279.221991] SLOW spr round 3 (radius: 5)
[69:37:52 -314273.482801] SLOW spr round 4 (radius: 5)
[69:40:19 -314271.295466] SLOW spr round 5 (radius: 5)
[69:42:41 -314271.295389] SLOW spr round 6 (radius: 10)
[69:45:06 -314270.205165] SLOW spr round 7 (radius: 5)
[69:47:50 -314267.849711] SLOW spr round 8 (radius: 5)
[69:50:19 -314267.849695] SLOW spr round 9 (radius: 10)
[69:52:49 -314267.021961] SLOW spr round 10 (radius: 5)
[69:55:30 -314266.912707] SLOW spr round 11 (radius: 5)
[69:58:00 -314266.846205] SLOW spr round 12 (radius: 10)
[70:00:28 -314264.773483] SLOW spr round 13 (radius: 5)
[70:03:11 -314263.177656] SLOW spr round 14 (radius: 5)
[70:05:40 -314263.024790] SLOW spr round 15 (radius: 5)
[70:08:04 -314263.024309] SLOW spr round 16 (radius: 10)
[70:10:28 -314263.024306] SLOW spr round 17 (radius: 15)
[70:14:29 -314257.170652] SLOW spr round 18 (radius: 5)
[70:17:18 -314253.609188] SLOW spr round 19 (radius: 5)
[70:19:52 -314246.772516] SLOW spr round 20 (radius: 5)
[70:22:17 -314246.700579] SLOW spr round 21 (radius: 10)
[70:24:41 -314246.700435] SLOW spr round 22 (radius: 15)
[70:28:40 -314246.700429] SLOW spr round 23 (radius: 20)
[70:35:12 -314246.700429] SLOW spr round 24 (radius: 25)
[70:43:19 -314245.848009] SLOW spr round 25 (radius: 5)
[70:46:19 -314203.381107] SLOW spr round 26 (radius: 5)
[70:48:56 -314180.051100] SLOW spr round 27 (radius: 5)
[70:51:24 -314180.050979] SLOW spr round 28 (radius: 10)
[70:53:49 -314180.050979] SLOW spr round 29 (radius: 15)
[70:57:52 -314180.050979] SLOW spr round 30 (radius: 20)
[71:04:31 -314180.050979] SLOW spr round 31 (radius: 25)
[71:12:50 -314180.050979] Model parameter optimization (eps = 0.100000)

[71:13:04] ML tree search #15, logLikelihood: -314179.321769

[71:13:04 -843485.427059] Initial branch length optimization
[71:13:07 -756489.750838] Model parameter optimization (eps = 10.000000)
[71:13:39 -756224.183450] AUTODETECT spr round 1 (radius: 5)
[71:15:53 -607000.514537] AUTODETECT spr round 2 (radius: 10)
[71:18:39 -430249.114302] AUTODETECT spr round 3 (radius: 15)
[71:21:24 -363169.421836] AUTODETECT spr round 4 (radius: 20)
[71:24:40 -349921.433260] AUTODETECT spr round 5 (radius: 25)
[71:28:31 -345567.497010] SPR radius for FAST iterations: 25 (autodetect)
[71:28:31 -345567.497010] Model parameter optimization (eps = 3.000000)
[71:29:00 -345457.224183] FAST spr round 1 (radius: 25)
[71:32:10 -316707.071751] FAST spr round 2 (radius: 25)
[71:34:35 -314604.005654] FAST spr round 3 (radius: 25)
[71:36:46 -314432.517833] FAST spr round 4 (radius: 25)
[71:38:48 -314416.159040] FAST spr round 5 (radius: 25)
[71:40:45 -314413.470136] FAST spr round 6 (radius: 25)
[71:42:39 -314413.470089] Model parameter optimization (eps = 1.000000)
[71:42:54 -314409.822100] SLOW spr round 1 (radius: 5)
[71:45:28 -314296.087394] SLOW spr round 2 (radius: 5)
[71:47:56 -314281.324557] SLOW spr round 3 (radius: 5)
[71:50:19 -314281.221762] SLOW spr round 4 (radius: 5)
[71:52:42 -314281.221270] SLOW spr round 5 (radius: 10)
[71:55:10 -314250.857303] SLOW spr round 6 (radius: 5)
[71:58:00 -314226.413944] SLOW spr round 7 (radius: 5)
[72:00:34 -314222.493560] SLOW spr round 8 (radius: 5)
[72:02:59 -314222.492899] SLOW spr round 9 (radius: 10)
[72:05:27 -314221.381569] SLOW spr round 10 (radius: 5)
[72:08:10 -314220.314315] SLOW spr round 11 (radius: 5)
[72:10:41 -314220.314142] SLOW spr round 12 (radius: 10)
[72:13:13 -314210.515161] SLOW spr round 13 (radius: 5)
[72:16:00 -314208.573689] SLOW spr round 14 (radius: 5)
[72:18:29 -314208.573319] SLOW spr round 15 (radius: 10)
[72:20:59 -314208.573308] SLOW spr round 16 (radius: 15)
[72:25:09 -314208.573306] SLOW spr round 17 (radius: 20)
[72:32:15 -314201.517558] SLOW spr round 18 (radius: 5)
[72:35:05 -314201.516563] SLOW spr round 19 (radius: 10)
[72:37:58 -314201.516550] SLOW spr round 20 (radius: 15)
[72:41:53 -314201.516548] SLOW spr round 21 (radius: 20)
[72:49:07 -314201.516545] SLOW spr round 22 (radius: 25)
[72:57:21 -314201.516543] Model parameter optimization (eps = 0.100000)

[72:57:37] ML tree search #16, logLikelihood: -314201.290386

[72:57:37 -841423.896166] Initial branch length optimization
[72:57:41 -755525.832923] Model parameter optimization (eps = 10.000000)
[72:58:08 -755276.759018] AUTODETECT spr round 1 (radius: 5)
[73:00:31 -610173.213806] AUTODETECT spr round 2 (radius: 10)
[73:03:18 -438306.040506] AUTODETECT spr round 3 (radius: 15)
[73:06:22 -360544.317663] AUTODETECT spr round 4 (radius: 20)
[73:09:24 -347891.404391] AUTODETECT spr round 5 (radius: 25)
[73:13:35 -344592.679464] SPR radius for FAST iterations: 25 (autodetect)
[73:13:35 -344592.679464] Model parameter optimization (eps = 3.000000)
[73:13:56 -344446.270581] FAST spr round 1 (radius: 25)
[73:17:05 -317386.049800] FAST spr round 2 (radius: 25)
[73:19:31 -315157.083815] FAST spr round 3 (radius: 25)
[73:21:43 -314486.459553] FAST spr round 4 (radius: 25)
[73:23:44 -314387.281585] FAST spr round 5 (radius: 25)
[73:25:37 -314378.230436] FAST spr round 6 (radius: 25)
[73:27:22 -314378.230424] Model parameter optimization (eps = 1.000000)
[73:27:37 -314375.723542] SLOW spr round 1 (radius: 5)
[73:30:08 -314282.554779] SLOW spr round 2 (radius: 5)
[73:32:30 -314264.528379] SLOW spr round 3 (radius: 5)
[73:34:54 -314264.422509] SLOW spr round 4 (radius: 5)
[73:37:19 -314264.422417] SLOW spr round 5 (radius: 10)
[73:39:51 -314252.418419] SLOW spr round 6 (radius: 5)
[73:42:39 -314246.002071] SLOW spr round 7 (radius: 5)
[73:45:15 -314237.323128] SLOW spr round 8 (radius: 5)
[73:47:44 -314234.303726] SLOW spr round 9 (radius: 5)
[73:50:08 -314230.044360] SLOW spr round 10 (radius: 5)
[73:52:30 -314229.972939] SLOW spr round 11 (radius: 10)
[73:54:58 -314226.939159] SLOW spr round 12 (radius: 5)
[73:57:46 -314226.939149] SLOW spr round 13 (radius: 10)
[74:00:34 -314226.766607] SLOW spr round 14 (radius: 5)
[74:03:22 -314224.670322] SLOW spr round 15 (radius: 5)
[74:05:58 -314221.983782] SLOW spr round 16 (radius: 5)
[74:08:27 -314221.137584] SLOW spr round 17 (radius: 5)
[74:10:55 -314221.137562] SLOW spr round 18 (radius: 10)
[74:13:27 -314221.137559] SLOW spr round 19 (radius: 15)
[74:17:37 -314210.559772] SLOW spr round 20 (radius: 5)
[74:20:32 -314210.286828] SLOW spr round 21 (radius: 5)
[74:23:11 -314210.286818] SLOW spr round 22 (radius: 10)
[74:25:52 -314209.922910] SLOW spr round 23 (radius: 5)
[74:28:40 -314208.579679] SLOW spr round 24 (radius: 5)
[74:31:16 -314208.579543] SLOW spr round 25 (radius: 10)
[74:33:54 -314208.579538] SLOW spr round 26 (radius: 15)
[74:38:03 -314208.579535] SLOW spr round 27 (radius: 20)
[74:44:11 -314205.192145] SLOW spr round 28 (radius: 5)
[74:47:08 -314202.699196] SLOW spr round 29 (radius: 5)
[74:49:45 -314201.173763] SLOW spr round 30 (radius: 5)
[74:52:08 -314201.173736] SLOW spr round 31 (radius: 10)
[74:54:33 -314200.694103] SLOW spr round 32 (radius: 5)
[74:57:15 -314196.720878] SLOW spr round 33 (radius: 5)
[74:59:44 -314192.157114] SLOW spr round 34 (radius: 5)
[75:02:06 -314191.493627] SLOW spr round 35 (radius: 5)
[75:04:24 -314191.493608] SLOW spr round 36 (radius: 10)
[75:06:48 -314191.493605] SLOW spr round 37 (radius: 15)
[75:10:55 -314179.121787] SLOW spr round 38 (radius: 5)
[75:13:56 -314129.746147] SLOW spr round 39 (radius: 5)
[75:16:36 -314126.057454] SLOW spr round 40 (radius: 5)
[75:19:08 -314126.057181] SLOW spr round 41 (radius: 10)
[75:21:43 -314126.057177] SLOW spr round 42 (radius: 15)
[75:25:43 -314126.057174] SLOW spr round 43 (radius: 20)
[75:31:33 -314125.463713] SLOW spr round 44 (radius: 5)
[75:34:29 -314121.545178] SLOW spr round 45 (radius: 5)
[75:37:05 -314121.268031] SLOW spr round 46 (radius: 5)
[75:39:35 -314121.267968] SLOW spr round 47 (radius: 10)
[75:42:09 -314121.267965] SLOW spr round 48 (radius: 15)
[75:46:09 -314121.267962] SLOW spr round 49 (radius: 20)
[75:52:03 -314121.267959] SLOW spr round 50 (radius: 25)
[75:59:18 -314121.267956] Model parameter optimization (eps = 0.100000)

[75:59:30] ML tree search #17, logLikelihood: -314121.148938

[75:59:30 -840473.399746] Initial branch length optimization
[75:59:33 -755134.853948] Model parameter optimization (eps = 10.000000)
[76:00:02 -754838.295569] AUTODETECT spr round 1 (radius: 5)
[76:02:24 -608421.262925] AUTODETECT spr round 2 (radius: 10)
[76:05:14 -433399.829855] AUTODETECT spr round 3 (radius: 15)
[76:08:28 -367066.283889] AUTODETECT spr round 4 (radius: 20)
[76:11:52 -351434.631222] AUTODETECT spr round 5 (radius: 25)
[76:15:41 -349236.706940] SPR radius for FAST iterations: 25 (autodetect)
[76:15:41 -349236.706940] Model parameter optimization (eps = 3.000000)
[76:16:10 -349078.421574] FAST spr round 1 (radius: 25)
[76:19:37 -321016.140535] FAST spr round 2 (radius: 25)
[76:22:24 -318496.401440] FAST spr round 3 (radius: 25)
[76:24:53 -318213.416071] FAST spr round 4 (radius: 25)
[76:27:16 -314511.381807] FAST spr round 5 (radius: 25)
[76:29:32 -314360.010960] FAST spr round 6 (radius: 25)
[76:31:30 -314354.350305] FAST spr round 7 (radius: 25)
[76:33:25 -314351.280022] FAST spr round 8 (radius: 25)
[76:35:19 -314351.279673] Model parameter optimization (eps = 1.000000)
[76:35:34 -314341.758681] SLOW spr round 1 (radius: 5)
[76:38:14 -314235.567022] SLOW spr round 2 (radius: 5)
[76:40:46 -314229.753060] SLOW spr round 3 (radius: 5)
[76:43:13 -314228.889095] SLOW spr round 4 (radius: 5)
[76:45:38 -314228.889066] SLOW spr round 5 (radius: 10)
[76:48:09 -314218.740409] SLOW spr round 6 (radius: 5)
[76:51:00 -314210.129394] SLOW spr round 7 (radius: 5)
[76:53:37 -314196.566943] SLOW spr round 8 (radius: 5)
[76:56:05 -314196.003576] SLOW spr round 9 (radius: 5)
[76:58:28 -314195.984257] SLOW spr round 10 (radius: 10)
[77:00:56 -314194.634156] SLOW spr round 11 (radius: 5)
[77:03:45 -314186.412575] SLOW spr round 12 (radius: 5)
[77:06:24 -314181.964439] SLOW spr round 13 (radius: 5)
[77:08:54 -314180.305306] SLOW spr round 14 (radius: 5)
[77:11:20 -314180.305082] SLOW spr round 15 (radius: 10)
[77:13:50 -314176.882849] SLOW spr round 16 (radius: 5)
[77:16:38 -314175.413442] SLOW spr round 17 (radius: 5)
[77:19:11 -314175.413359] SLOW spr round 18 (radius: 10)
[77:21:45 -314174.787652] SLOW spr round 19 (radius: 5)
[77:24:32 -314167.106436] SLOW spr round 20 (radius: 5)
[77:27:05 -314167.106421] SLOW spr round 21 (radius: 10)
[77:29:38 -314167.106419] SLOW spr round 22 (radius: 15)
[77:33:41 -314148.743511] SLOW spr round 23 (radius: 5)
[77:36:34 -314148.226515] SLOW spr round 24 (radius: 5)
[77:39:11 -314148.226409] SLOW spr round 25 (radius: 10)
[77:41:47 -314148.226406] SLOW spr round 26 (radius: 15)
[77:45:45 -314148.226404] SLOW spr round 27 (radius: 20)
[77:51:49 -314148.226402] SLOW spr round 28 (radius: 25)
[77:59:26 -314148.226400] Model parameter optimization (eps = 0.100000)

[77:59:43] ML tree search #18, logLikelihood: -314147.077741

[77:59:43 -845504.884561] Initial branch length optimization
[77:59:46 -757138.908477] Model parameter optimization (eps = 10.000000)
[78:00:18 -756885.964412] AUTODETECT spr round 1 (radius: 5)
[78:02:36 -601209.739590] AUTODETECT spr round 2 (radius: 10)
[78:05:25 -436679.584387] AUTODETECT spr round 3 (radius: 15)
[78:08:26 -373956.310384] AUTODETECT spr round 4 (radius: 20)
[78:11:30 -354099.808587] AUTODETECT spr round 5 (radius: 25)
[78:14:51 -350222.650924] SPR radius for FAST iterations: 25 (autodetect)
[78:14:51 -350222.650924] Model parameter optimization (eps = 3.000000)
[78:15:16 -350029.007602] FAST spr round 1 (radius: 25)
[78:18:32 -316001.040997] FAST spr round 2 (radius: 25)
[78:21:09 -314717.639166] FAST spr round 3 (radius: 25)
[78:23:30 -314508.591221] FAST spr round 4 (radius: 25)
[78:25:42 -314369.843791] FAST spr round 5 (radius: 25)
[78:27:47 -314345.755249] FAST spr round 6 (radius: 25)
[78:29:48 -314335.585806] FAST spr round 7 (radius: 25)
[78:31:45 -314330.840099] FAST spr round 8 (radius: 25)
[78:33:41 -314330.840060] Model parameter optimization (eps = 1.000000)
[78:33:54 -314328.959022] SLOW spr round 1 (radius: 5)
[78:36:35 -314241.144215] SLOW spr round 2 (radius: 5)
[78:39:11 -314198.315029] SLOW spr round 3 (radius: 5)
[78:41:38 -314193.779698] SLOW spr round 4 (radius: 5)
[78:44:03 -314193.779675] SLOW spr round 5 (radius: 10)
[78:46:34 -314146.703722] SLOW spr round 6 (radius: 5)
[78:49:30 -314111.910595] SLOW spr round 7 (radius: 5)
[78:52:08 -314105.715694] SLOW spr round 8 (radius: 5)
[78:54:36 -314100.341313] SLOW spr round 9 (radius: 5)
[78:57:04 -314100.086783] SLOW spr round 10 (radius: 5)
[78:59:29 -314100.086769] SLOW spr round 11 (radius: 10)
[79:01:58 -314097.371394] SLOW spr round 12 (radius: 5)
[79:04:47 -314093.452750] SLOW spr round 13 (radius: 5)
[79:07:23 -314093.452723] SLOW spr round 14 (radius: 10)
[79:09:56 -314093.452720] SLOW spr round 15 (radius: 15)
[79:14:00 -314080.221214] SLOW spr round 16 (radius: 5)
[79:17:03 -314077.365282] SLOW spr round 17 (radius: 5)
[79:19:43 -314077.365201] SLOW spr round 18 (radius: 10)
[79:22:21 -314077.365198] SLOW spr round 19 (radius: 15)
[79:26:25 -314077.365196] SLOW spr round 20 (radius: 20)
[79:32:48 -314077.365193] SLOW spr round 21 (radius: 25)
[79:40:36 -314077.365190] Model parameter optimization (eps = 0.100000)

[79:40:48] ML tree search #19, logLikelihood: -314076.033623

[79:40:48 -843889.795910] Initial branch length optimization
[79:40:52 -757076.890472] Model parameter optimization (eps = 10.000000)
[79:41:17 -756822.517150] AUTODETECT spr round 1 (radius: 5)
[79:43:31 -608870.419205] AUTODETECT spr round 2 (radius: 10)
[79:46:09 -443519.187495] AUTODETECT spr round 3 (radius: 15)
[79:49:07 -368175.794072] AUTODETECT spr round 4 (radius: 20)
[79:52:14 -360032.951588] AUTODETECT spr round 5 (radius: 25)
[79:55:55 -357848.161936] SPR radius for FAST iterations: 25 (autodetect)
[79:55:55 -357848.161936] Model parameter optimization (eps = 3.000000)
[79:56:21 -357664.170705] FAST spr round 1 (radius: 25)
[79:59:40 -329127.217188] FAST spr round 2 (radius: 25)
[80:02:13 -326910.727160] FAST spr round 3 (radius: 25)
[80:04:22 -326189.910775] FAST spr round 4 (radius: 25)
[80:06:28 -326126.281282] FAST spr round 5 (radius: 25)
[80:08:23 -326115.046212] FAST spr round 6 (radius: 25)
[80:10:12 -326115.046204] Model parameter optimization (eps = 1.000000)
[80:10:26 -326110.994543] SLOW spr round 1 (radius: 5)
[80:13:01 -325992.320946] SLOW spr round 2 (radius: 5)
[80:15:47 -325974.149756] SLOW spr round 3 (radius: 5)
[80:18:20 -325972.106385] SLOW spr round 4 (radius: 5)
[80:20:50 -325971.611920] SLOW spr round 5 (radius: 5)
[80:23:19 -325971.611919] SLOW spr round 6 (radius: 10)
[80:25:55 -325964.903928] SLOW spr round 7 (radius: 5)
[80:28:49 -325957.461295] SLOW spr round 8 (radius: 5)
[80:31:27 -325957.461252] SLOW spr round 9 (radius: 10)
[80:34:06 -325956.869989] SLOW spr round 10 (radius: 5)
[80:37:02 -325950.611346] SLOW spr round 11 (radius: 5)
[80:39:40 -325950.610576] SLOW spr round 12 (radius: 10)
[80:42:18 -325947.076438] SLOW spr round 13 (radius: 5)
[80:45:08 -325947.076083] SLOW spr round 14 (radius: 10)
[80:47:57 -325947.076059] SLOW spr round 15 (radius: 15)
[80:51:52 -325947.076058] SLOW spr round 16 (radius: 20)
[80:57:50 -325947.076058] SLOW spr round 17 (radius: 25)
[81:05:03 -325947.076058] Model parameter optimization (eps = 0.100000)

[81:05:10] ML tree search #20, logLikelihood: -325946.994219


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.145849,0.157172) (0.149722,0.608930) (0.404469,0.807572) (0.299960,1.864477) 
   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: -314054.751747

AIC score: 632119.503495 / AICc score: 8676179.503495 / BIC score: 640975.051721
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=612).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 90 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q96GE5/3_mltree/Q96GE5.raxml.log

Analysis started: 03-Jul-2021 05:16:30 / finished: 06-Jul-2021 14:21:41

Elapsed time: 291910.986 seconds