RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 30-Jun-2021 21:30:24 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/2_msa/Q06730_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/2_msa/Q06730_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 593 sites

WARNING: Sequences tr_G3S228_G3S228_GORGO_9595 and tr_A0A2J8SK65_A0A2J8SK65_PONAB_9601 are exactly identical!
WARNING: Sequences tr_H2NSV6_H2NSV6_PONAB_9601 and sp_Q9P2J8_ZN624_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2PLG5_H2PLG5_PONAB_9601 and tr_A0A2I3TNU4_A0A2I3TNU4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2PLG5_H2PLG5_PONAB_9601 and sp_P17014_ZNF12_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2PLG5_H2PLG5_PONAB_9601 and tr_A0A2R9A3E5_A0A2R9A3E5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F1P9J5_F1P9J5_CANLF_9615 and sp_Q9XSR1_ZN252_CANLF_9615 are exactly identical!
WARNING: Sequences tr_A0A2I3SSM4_A0A2I3SSM4_PANTR_9598 and tr_A0A2R9B6G9_A0A2R9B6G9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q781_H2Q781_PANTR_9598 and sp_P51523_ZNF84_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2Q781_H2Q781_PANTR_9598 and tr_A0A2R8Z7P5_A0A2R8Z7P5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RE22_H2RE22_PANTR_9598 and tr_A0A2R8ZGP1_A0A2R8ZGP1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QTH3_A0A1D5QTH3_MACMU_9544 and tr_A0A096NF04_A0A096NF04_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QTH3_A0A1D5QTH3_MACMU_9544 and tr_A0A2K5NKB0_A0A2K5NKB0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QTH3_A0A1D5QTH3_MACMU_9544 and tr_A0A2K6AMI9_A0A2K6AMI9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QTH3_A0A1D5QTH3_MACMU_9544 and tr_A0A2K5XWI3_A0A2K5XWI3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A1D5QVC2_A0A1D5QVC2_MACMU_9544 and tr_A0A096N2R2_A0A096N2R2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QVC2_A0A1D5QVC2_MACMU_9544 and tr_A0A2K5MKS5_A0A2K5MKS5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QVC2_A0A1D5QVC2_MACMU_9544 and tr_A0A2K5YQS2_A0A2K5YQS2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6RKW8_F6RKW8_MACMU_9544 and tr_G7PJI5_G7PJI5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6RKW8_F6RKW8_MACMU_9544 and tr_A0A2I3LQN8_A0A2I3LQN8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6RKW8_F6RKW8_MACMU_9544 and tr_A0A2K6AK43_A0A2K6AK43_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6WPD0_F6WPD0_MACMU_9544 and tr_A0A096P278_A0A096P278_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7D3D2_F7D3D2_MACMU_9544 and tr_G7Q2L3_G7Q2L3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GLK7_F7GLK7_MACMU_9544 and tr_A0A2K6DH52_A0A2K6DH52_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096P1R1_A0A096P1R1_PAPAN_9555 and tr_A0A2K6AK49_A0A2K6AK49_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0A0MU96_A0A0A0MU96_PAPAN_9555 and tr_A0A2K5MK99_A0A2K5MK99_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0A0MV77_A0A0A0MV77_PAPAN_9555 and tr_A0A2K5NUT6_A0A2K5NUT6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2K5KWH7_A0A2K5KWH7_CERAT_9531 and tr_A0A2K5X9M3_A0A2K5X9M3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5LMS6_A0A2K5LMS6_CERAT_9531 and tr_A0A2K5YZS4_A0A2K5YZS4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4BIB5_A0A2U4BIB5_TURTR_9739 and tr_A0A2Y9MPI6_A0A2Y9MPI6_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4BU43_A0A2U4BU43_TURTR_9739 and tr_A0A2Y9PFI9_A0A2Y9PFI9_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4CBZ4_A0A2U4CBZ4_TURTR_9739 and tr_A0A2Y9MQ43_A0A2Y9MQ43_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 31

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.raxml.reduced.phy

Alignment comprises 1 partitions and 593 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 593 / 593
Gaps: 8.78 %
Invariant sites: 0.51 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.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 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -792962.924533] Initial branch length optimization
[00:00:04 -711206.475556] Model parameter optimization (eps = 10.000000)
[00:00:33 -709081.894838] AUTODETECT spr round 1 (radius: 5)
[00:02:42 -552702.198712] AUTODETECT spr round 2 (radius: 10)
[00:05:08 -388510.275260] AUTODETECT spr round 3 (radius: 15)
[00:07:34 -322999.371223] AUTODETECT spr round 4 (radius: 20)
[00:10:21 -304922.007731] AUTODETECT spr round 5 (radius: 25)
[00:13:30 -302154.841720] SPR radius for FAST iterations: 25 (autodetect)
[00:13:30 -302154.841720] Model parameter optimization (eps = 3.000000)
[00:13:54 -301914.813813] FAST spr round 1 (radius: 25)
[00:16:49 -275641.639268] FAST spr round 2 (radius: 25)
[00:19:12 -274738.947008] FAST spr round 3 (radius: 25)
[00:21:19 -274592.680812] FAST spr round 4 (radius: 25)
[00:23:17 -274506.458164] FAST spr round 5 (radius: 25)
[00:25:08 -274500.131439] FAST spr round 6 (radius: 25)
[00:26:54 -274500.131432] Model parameter optimization (eps = 1.000000)
[00:27:09 -274496.087787] SLOW spr round 1 (radius: 5)
[00:29:29 -274431.449813] SLOW spr round 2 (radius: 5)
[00:31:42 -274413.162361] SLOW spr round 3 (radius: 5)
[00:33:51 -274412.495264] SLOW spr round 4 (radius: 5)
[00:35:57 -274412.495229] SLOW spr round 5 (radius: 10)
[00:38:08 -274399.078962] SLOW spr round 6 (radius: 5)
[00:40:33 -274397.865046] SLOW spr round 7 (radius: 5)
[00:42:48 -274397.864940] SLOW spr round 8 (radius: 10)
[00:45:01 -274397.449317] SLOW spr round 9 (radius: 5)
[00:47:25 -274397.449303] SLOW spr round 10 (radius: 10)
[00:49:46 -274397.117427] SLOW spr round 11 (radius: 5)
[00:52:12 -274396.273629] SLOW spr round 12 (radius: 5)
[00:54:26 -274396.273506] SLOW spr round 13 (radius: 10)
[00:56:38 -274390.945813] SLOW spr round 14 (radius: 5)
[00:59:02 -274390.945788] SLOW spr round 15 (radius: 10)
[01:01:23 -274390.945788] SLOW spr round 16 (radius: 15)
[01:05:06 -274390.945788] SLOW spr round 17 (radius: 20)
[01:11:54 -274389.891492] SLOW spr round 18 (radius: 5)
[01:14:28 -274374.226854] SLOW spr round 19 (radius: 5)
[01:16:46 -274372.939812] SLOW spr round 20 (radius: 5)
[01:18:55 -274372.939755] SLOW spr round 21 (radius: 10)
[01:21:04 -274372.939755] SLOW spr round 22 (radius: 15)
[01:24:58 -274372.939755] SLOW spr round 23 (radius: 20)
[01:31:31 -274372.939755] SLOW spr round 24 (radius: 25)
[01:39:34 -274372.939755] Model parameter optimization (eps = 0.100000)

[01:39:45] ML tree search #1, logLikelihood: -274372.789553

[01:39:45 -795211.828797] Initial branch length optimization
[01:39:48 -712723.519326] Model parameter optimization (eps = 10.000000)
[01:40:19 -710446.509194] AUTODETECT spr round 1 (radius: 5)
[01:42:20 -547958.814656] AUTODETECT spr round 2 (radius: 10)
[01:44:31 -397500.868125] AUTODETECT spr round 3 (radius: 15)
[01:46:46 -328803.255916] AUTODETECT spr round 4 (radius: 20)
[01:49:15 -311099.343471] AUTODETECT spr round 5 (radius: 25)
[01:52:03 -306956.367841] SPR radius for FAST iterations: 25 (autodetect)
[01:52:03 -306956.367841] Model parameter optimization (eps = 3.000000)
[01:52:33 -306807.144513] FAST spr round 1 (radius: 25)
[01:55:08 -275813.911026] FAST spr round 2 (radius: 25)
[01:57:09 -274661.718461] FAST spr round 3 (radius: 25)
[01:58:56 -274554.603188] FAST spr round 4 (radius: 25)
[02:00:35 -274520.977599] FAST spr round 5 (radius: 25)
[02:02:08 -274492.968289] FAST spr round 6 (radius: 25)
[02:03:37 -274492.968102] Model parameter optimization (eps = 1.000000)
[02:03:49 -274484.414428] SLOW spr round 1 (radius: 5)
[02:05:51 -274394.260863] SLOW spr round 2 (radius: 5)
[02:07:46 -274389.661707] SLOW spr round 3 (radius: 5)
[02:09:36 -274389.661518] SLOW spr round 4 (radius: 10)
[02:11:31 -274388.918391] SLOW spr round 5 (radius: 5)
[02:13:42 -274378.827507] SLOW spr round 6 (radius: 5)
[02:15:46 -274378.827503] SLOW spr round 7 (radius: 10)
[02:17:51 -274372.311798] SLOW spr round 8 (radius: 5)
[02:20:08 -274370.889053] SLOW spr round 9 (radius: 5)
[02:22:15 -274370.888972] SLOW spr round 10 (radius: 10)
[02:24:33 -274370.888972] SLOW spr round 11 (radius: 15)
[02:28:25 -274370.888972] SLOW spr round 12 (radius: 20)
[02:34:24 -274368.599351] SLOW spr round 13 (radius: 5)
[02:37:03 -274357.694860] SLOW spr round 14 (radius: 5)
[02:39:21 -274357.694806] SLOW spr round 15 (radius: 10)
[02:41:38 -274357.694806] SLOW spr round 16 (radius: 15)
[02:45:18 -274357.694806] SLOW spr round 17 (radius: 20)
[02:51:03 -274357.694806] SLOW spr round 18 (radius: 25)
[02:58:10 -274357.694806] Model parameter optimization (eps = 0.100000)

[02:58:18] ML tree search #2, logLikelihood: -274357.552747

[02:58:18 -796225.865771] Initial branch length optimization
[02:58:22 -712729.404010] Model parameter optimization (eps = 10.000000)
[02:59:00 -710415.359318] AUTODETECT spr round 1 (radius: 5)
[03:01:14 -562276.858082] AUTODETECT spr round 2 (radius: 10)
[03:03:39 -391658.164563] AUTODETECT spr round 3 (radius: 15)
[03:06:04 -320804.586757] AUTODETECT spr round 4 (radius: 20)
[03:08:49 -306077.514714] AUTODETECT spr round 5 (radius: 25)
[03:12:04 -302654.706935] SPR radius for FAST iterations: 25 (autodetect)
[03:12:04 -302654.706935] Model parameter optimization (eps = 3.000000)
[03:12:25 -302446.704458] FAST spr round 1 (radius: 25)
[03:15:16 -276413.677638] FAST spr round 2 (radius: 25)
[03:17:36 -274647.528684] FAST spr round 3 (radius: 25)
[03:19:43 -274502.247165] FAST spr round 4 (radius: 25)
[03:21:35 -274482.708640] FAST spr round 5 (radius: 25)
[03:23:19 -274466.970752] FAST spr round 6 (radius: 25)
[03:24:56 -274465.667094] FAST spr round 7 (radius: 25)
[03:26:26 -274465.667016] Model parameter optimization (eps = 1.000000)
[03:26:38 -274464.073589] SLOW spr round 1 (radius: 5)
[03:28:41 -274382.106667] SLOW spr round 2 (radius: 5)
[03:30:38 -274369.070632] SLOW spr round 3 (radius: 5)
[03:32:30 -274369.069862] SLOW spr round 4 (radius: 10)
[03:34:23 -274367.874165] SLOW spr round 5 (radius: 5)
[03:36:33 -274358.673780] SLOW spr round 6 (radius: 5)
[03:38:34 -274339.149417] SLOW spr round 7 (radius: 5)
[03:40:27 -274332.596124] SLOW spr round 8 (radius: 5)
[03:42:19 -274331.834263] SLOW spr round 9 (radius: 5)
[03:44:09 -274331.834243] SLOW spr round 10 (radius: 10)
[03:46:03 -274329.857004] SLOW spr round 11 (radius: 5)
[03:48:10 -274328.009209] SLOW spr round 12 (radius: 5)
[03:50:07 -274328.009187] SLOW spr round 13 (radius: 10)
[03:52:04 -274327.514979] SLOW spr round 14 (radius: 5)
[03:54:10 -274327.514951] SLOW spr round 15 (radius: 10)
[03:56:15 -274327.514951] SLOW spr round 16 (radius: 15)
[03:59:30 -274327.514951] SLOW spr round 17 (radius: 20)
[04:05:10 -274327.514951] SLOW spr round 18 (radius: 25)
[04:12:24 -274327.514951] Model parameter optimization (eps = 0.100000)

[04:12:32] ML tree search #3, logLikelihood: -274327.355936

[04:12:32 -795003.502767] Initial branch length optimization
[04:12:35 -712024.741268] Model parameter optimization (eps = 10.000000)
[04:13:03 -709718.870363] AUTODETECT spr round 1 (radius: 5)
[04:15:10 -562366.064474] AUTODETECT spr round 2 (radius: 10)
[04:17:30 -398276.083537] AUTODETECT spr round 3 (radius: 15)
[04:20:03 -326274.806430] AUTODETECT spr round 4 (radius: 20)
[04:22:54 -311406.856985] AUTODETECT spr round 5 (radius: 25)
[04:26:32 -308206.817915] SPR radius for FAST iterations: 25 (autodetect)
[04:26:32 -308206.817915] Model parameter optimization (eps = 3.000000)
[04:26:52 -307953.707293] FAST spr round 1 (radius: 25)
[04:29:46 -277080.663341] FAST spr round 2 (radius: 25)
[04:32:09 -274643.878680] FAST spr round 3 (radius: 25)
[04:34:21 -274503.192855] FAST spr round 4 (radius: 25)
[04:36:21 -274477.640502] FAST spr round 5 (radius: 25)
[04:38:11 -274471.913498] FAST spr round 6 (radius: 25)
[04:39:58 -274463.562851] FAST spr round 7 (radius: 25)
[04:41:43 -274460.715327] FAST spr round 8 (radius: 25)
[04:43:27 -274458.275683] FAST spr round 9 (radius: 25)
[04:45:11 -274450.954369] FAST spr round 10 (radius: 25)
[04:46:54 -274450.954365] Model parameter optimization (eps = 1.000000)
[04:47:07 -274448.248463] SLOW spr round 1 (radius: 5)
[04:49:29 -274347.995455] SLOW spr round 2 (radius: 5)
[04:51:41 -274331.909771] SLOW spr round 3 (radius: 5)
[04:53:54 -274328.661595] SLOW spr round 4 (radius: 5)
[04:56:05 -274323.728829] SLOW spr round 5 (radius: 5)
[04:58:11 -274323.728826] SLOW spr round 6 (radius: 10)
[05:00:23 -274311.969808] SLOW spr round 7 (radius: 5)
[05:02:52 -274306.828189] SLOW spr round 8 (radius: 5)
[05:05:07 -274306.576416] SLOW spr round 9 (radius: 5)
[05:07:16 -274306.576411] SLOW spr round 10 (radius: 10)
[05:09:28 -274303.663439] SLOW spr round 11 (radius: 5)
[05:11:52 -274300.446394] SLOW spr round 12 (radius: 5)
[05:14:06 -274300.147632] SLOW spr round 13 (radius: 5)
[05:16:14 -274300.147597] SLOW spr round 14 (radius: 10)
[05:18:26 -274300.087814] SLOW spr round 15 (radius: 15)
[05:22:15 -274300.087810] SLOW spr round 16 (radius: 20)
[05:28:11 -274300.087810] SLOW spr round 17 (radius: 25)
[05:35:40 -274300.087810] Model parameter optimization (eps = 0.100000)

[05:35:49] ML tree search #4, logLikelihood: -274299.956242

[05:35:49 -794915.085535] Initial branch length optimization
[05:35:52 -711949.337018] Model parameter optimization (eps = 10.000000)
[05:36:20 -709577.064828] AUTODETECT spr round 1 (radius: 5)
[05:38:31 -552710.389886] AUTODETECT spr round 2 (radius: 10)
[05:40:57 -378731.998235] AUTODETECT spr round 3 (radius: 15)
[05:43:27 -325219.147253] AUTODETECT spr round 4 (radius: 20)
[05:46:29 -305946.490281] AUTODETECT spr round 5 (radius: 25)
[05:50:15 -303217.250683] SPR radius for FAST iterations: 25 (autodetect)
[05:50:15 -303217.250683] Model parameter optimization (eps = 3.000000)
[05:50:35 -303013.815930] FAST spr round 1 (radius: 25)
[05:53:29 -275595.552241] FAST spr round 2 (radius: 25)
[05:55:49 -274599.552795] FAST spr round 3 (radius: 25)
[05:57:59 -274478.198920] FAST spr round 4 (radius: 25)
[05:59:54 -274463.141118] FAST spr round 5 (radius: 25)
[06:01:43 -274454.084753] FAST spr round 6 (radius: 25)
[06:03:29 -274453.171713] FAST spr round 7 (radius: 25)
[06:05:13 -274453.171693] Model parameter optimization (eps = 1.000000)
[06:05:21 -274452.587644] SLOW spr round 1 (radius: 5)
[06:07:40 -274366.726182] SLOW spr round 2 (radius: 5)
[06:09:54 -274358.920976] SLOW spr round 3 (radius: 5)
[06:12:02 -274357.987736] SLOW spr round 4 (radius: 5)
[06:14:09 -274357.987733] SLOW spr round 5 (radius: 10)
[06:16:20 -274351.768561] SLOW spr round 6 (radius: 5)
[06:18:44 -274351.768548] SLOW spr round 7 (radius: 10)
[06:21:08 -274351.258949] SLOW spr round 8 (radius: 5)
[06:23:33 -274343.033996] SLOW spr round 9 (radius: 5)
[06:25:47 -274342.350457] SLOW spr round 10 (radius: 5)
[06:27:56 -274342.350450] SLOW spr round 11 (radius: 10)
[06:30:08 -274342.350450] SLOW spr round 12 (radius: 15)
[06:34:06 -274342.350450] SLOW spr round 13 (radius: 20)
[06:40:26 -274342.350450] SLOW spr round 14 (radius: 25)
[06:48:26 -274342.350450] Model parameter optimization (eps = 0.100000)

[06:48:36] ML tree search #5, logLikelihood: -274342.201650

[06:48:36 -795250.727173] Initial branch length optimization
[06:48:39 -711430.812808] Model parameter optimization (eps = 10.000000)
[06:49:22 -709111.418905] AUTODETECT spr round 1 (radius: 5)
[06:51:42 -553198.854900] AUTODETECT spr round 2 (radius: 10)
[06:54:10 -397892.396945] AUTODETECT spr round 3 (radius: 15)
[06:57:11 -330833.392304] AUTODETECT spr round 4 (radius: 20)
[06:59:54 -310934.980985] AUTODETECT spr round 5 (radius: 25)
[07:03:29 -306088.389551] SPR radius for FAST iterations: 25 (autodetect)
[07:03:29 -306088.389551] Model parameter optimization (eps = 3.000000)
[07:03:54 -305818.844700] FAST spr round 1 (radius: 25)
[07:06:48 -275588.172448] FAST spr round 2 (radius: 25)
[07:09:10 -274619.912153] FAST spr round 3 (radius: 25)
[07:11:21 -274504.016500] FAST spr round 4 (radius: 25)
[07:13:21 -274467.248363] FAST spr round 5 (radius: 25)
[07:15:13 -274441.417820] FAST spr round 6 (radius: 25)
[07:17:00 -274438.382232] FAST spr round 7 (radius: 25)
[07:18:46 -274438.382185] Model parameter optimization (eps = 1.000000)
[07:18:57 -274435.670021] SLOW spr round 1 (radius: 5)
[07:21:16 -274337.680649] SLOW spr round 2 (radius: 5)
[07:23:31 -274329.015646] SLOW spr round 3 (radius: 5)
[07:25:39 -274329.015312] SLOW spr round 4 (radius: 10)
[07:27:50 -274327.326374] SLOW spr round 5 (radius: 5)
[07:30:16 -274326.058796] SLOW spr round 6 (radius: 5)
[07:32:35 -274317.393053] SLOW spr round 7 (radius: 5)
[07:34:49 -274307.473700] SLOW spr round 8 (radius: 5)
[07:36:59 -274299.856006] SLOW spr round 9 (radius: 5)
[07:39:08 -274298.594291] SLOW spr round 10 (radius: 5)
[07:41:16 -274298.594253] SLOW spr round 11 (radius: 10)
[07:43:27 -274298.594253] SLOW spr round 12 (radius: 15)
[07:47:17 -274298.594253] SLOW spr round 13 (radius: 20)
[07:53:23 -274298.594253] SLOW spr round 14 (radius: 25)
[08:01:06 -274298.594253] Model parameter optimization (eps = 0.100000)

[08:01:20] ML tree search #6, logLikelihood: -274298.005936

[08:01:20 -795633.651292] Initial branch length optimization
[08:01:27 -712339.254180] Model parameter optimization (eps = 10.000000)
[08:01:54 -710233.112138] AUTODETECT spr round 1 (radius: 5)
[08:04:08 -553780.437020] AUTODETECT spr round 2 (radius: 10)
[08:06:31 -381386.731266] AUTODETECT spr round 3 (radius: 15)
[08:09:00 -321731.609114] AUTODETECT spr round 4 (radius: 20)
[08:12:05 -303886.860611] AUTODETECT spr round 5 (radius: 25)
[08:15:40 -303214.536234] SPR radius for FAST iterations: 25 (autodetect)
[08:15:40 -303214.536234] Model parameter optimization (eps = 3.000000)
[08:16:01 -302922.266694] FAST spr round 1 (radius: 25)
[08:19:01 -276021.629468] FAST spr round 2 (radius: 25)
[08:21:24 -274823.249810] FAST spr round 3 (radius: 25)
[08:23:32 -274591.843006] FAST spr round 4 (radius: 25)
[08:25:30 -274545.638630] FAST spr round 5 (radius: 25)
[08:27:20 -274536.252231] FAST spr round 6 (radius: 25)
[08:29:06 -274536.252153] Model parameter optimization (eps = 1.000000)
[08:29:19 -274528.947058] SLOW spr round 1 (radius: 5)
[08:31:38 -274462.992863] SLOW spr round 2 (radius: 5)
[08:33:52 -274456.544623] SLOW spr round 3 (radius: 5)
[08:36:02 -274454.030736] SLOW spr round 4 (radius: 5)
[08:38:09 -274454.030708] SLOW spr round 5 (radius: 10)
[08:40:22 -274447.383350] SLOW spr round 6 (radius: 5)
[08:42:50 -274432.266009] SLOW spr round 7 (radius: 5)
[08:45:06 -274431.542127] SLOW spr round 8 (radius: 5)
[08:47:16 -274431.542125] SLOW spr round 9 (radius: 10)
[08:49:29 -274430.685434] SLOW spr round 10 (radius: 5)
[08:51:55 -274429.278947] SLOW spr round 11 (radius: 5)
[08:54:10 -274429.278947] SLOW spr round 12 (radius: 10)
[08:56:25 -274429.278947] SLOW spr round 13 (radius: 15)
[09:00:03 -274429.278947] SLOW spr round 14 (radius: 20)
[09:06:01 -274429.278947] SLOW spr round 15 (radius: 25)
[09:13:33 -274429.278947] Model parameter optimization (eps = 0.100000)

[09:13:41] ML tree search #7, logLikelihood: -274429.238600

[09:13:42 -795890.340227] Initial branch length optimization
[09:13:45 -711808.174498] Model parameter optimization (eps = 10.000000)
[09:14:13 -709494.728303] AUTODETECT spr round 1 (radius: 5)
[09:16:26 -562772.724451] AUTODETECT spr round 2 (radius: 10)
[09:18:52 -387672.970432] AUTODETECT spr round 3 (radius: 15)
[09:21:20 -324408.362051] AUTODETECT spr round 4 (radius: 20)
[09:24:07 -308895.879899] AUTODETECT spr round 5 (radius: 25)
[09:27:19 -305690.450591] SPR radius for FAST iterations: 25 (autodetect)
[09:27:19 -305690.450591] Model parameter optimization (eps = 3.000000)
[09:27:46 -305482.212300] FAST spr round 1 (radius: 25)
[09:30:36 -276297.577749] FAST spr round 2 (radius: 25)
[09:32:57 -274616.109391] FAST spr round 3 (radius: 25)
[09:35:03 -274458.165915] FAST spr round 4 (radius: 25)
[09:37:00 -274437.364760] FAST spr round 5 (radius: 25)
[09:38:51 -274435.126246] FAST spr round 6 (radius: 25)
[09:40:38 -274424.693205] FAST spr round 7 (radius: 25)
[09:42:23 -274424.693192] Model parameter optimization (eps = 1.000000)
[09:42:32 -274424.428134] SLOW spr round 1 (radius: 5)
[09:44:49 -274344.118009] SLOW spr round 2 (radius: 5)
[09:47:04 -274327.541643] SLOW spr round 3 (radius: 5)
[09:49:15 -274325.375927] SLOW spr round 4 (radius: 5)
[09:51:24 -274324.786056] SLOW spr round 5 (radius: 5)
[09:53:32 -274324.786050] SLOW spr round 6 (radius: 10)
[09:55:43 -274323.743310] SLOW spr round 7 (radius: 5)
[09:58:07 -274323.743259] SLOW spr round 8 (radius: 10)
[10:00:31 -274323.328632] SLOW spr round 9 (radius: 5)
[10:02:53 -274323.328602] SLOW spr round 10 (radius: 10)
[10:05:16 -274323.328602] SLOW spr round 11 (radius: 15)
[10:08:47 -274323.328602] SLOW spr round 12 (radius: 20)
[10:14:28 -274323.328602] SLOW spr round 13 (radius: 25)
[10:21:30 -274323.328602] Model parameter optimization (eps = 0.100000)

[10:21:35] ML tree search #8, logLikelihood: -274323.305530

[10:21:35 -796848.960252] Initial branch length optimization
[10:21:38 -713979.723054] Model parameter optimization (eps = 10.000000)
[10:22:19 -711587.803486] AUTODETECT spr round 1 (radius: 5)
[10:24:31 -565507.791220] AUTODETECT spr round 2 (radius: 10)
[10:26:56 -399417.913522] AUTODETECT spr round 3 (radius: 15)
[10:29:31 -324254.540465] AUTODETECT spr round 4 (radius: 20)
[10:32:25 -308337.711862] AUTODETECT spr round 5 (radius: 25)
[10:35:49 -306226.640633] SPR radius for FAST iterations: 25 (autodetect)
[10:35:49 -306226.640633] Model parameter optimization (eps = 3.000000)
[10:36:15 -305969.244656] FAST spr round 1 (radius: 25)
[10:39:02 -275710.684152] FAST spr round 2 (radius: 25)
[10:41:18 -274549.095343] FAST spr round 3 (radius: 25)
[10:43:22 -274471.039642] FAST spr round 4 (radius: 25)
[10:45:19 -274415.923477] FAST spr round 5 (radius: 25)
[10:47:05 -274408.357904] FAST spr round 6 (radius: 25)
[10:48:46 -274408.357887] Model parameter optimization (eps = 1.000000)
[10:48:58 -274407.221215] SLOW spr round 1 (radius: 5)
[10:51:11 -274332.445194] SLOW spr round 2 (radius: 5)
[10:53:15 -274325.899020] SLOW spr round 3 (radius: 5)
[10:55:14 -274325.170039] SLOW spr round 4 (radius: 5)
[10:57:08 -274325.170028] SLOW spr round 5 (radius: 10)
[10:59:05 -274316.806735] SLOW spr round 6 (radius: 5)
[11:01:16 -274302.691205] SLOW spr round 7 (radius: 5)
[11:03:15 -274301.905032] SLOW spr round 8 (radius: 5)
[11:05:08 -274301.904992] SLOW spr round 9 (radius: 10)
[11:07:02 -274301.280505] SLOW spr round 10 (radius: 5)
[11:09:09 -274301.280491] SLOW spr round 11 (radius: 10)
[11:11:14 -274301.280491] SLOW spr round 12 (radius: 15)
[11:14:27 -274301.280491] SLOW spr round 13 (radius: 20)
[11:19:55 -274301.280491] SLOW spr round 14 (radius: 25)
[11:26:38 -274301.280491] Model parameter optimization (eps = 0.100000)

[11:26:44] ML tree search #9, logLikelihood: -274301.228204

[11:26:44 -795365.603623] Initial branch length optimization
[11:26:49 -713010.176292] Model parameter optimization (eps = 10.000000)
[11:27:15 -710749.552781] AUTODETECT spr round 1 (radius: 5)
[11:29:11 -558069.608215] AUTODETECT spr round 2 (radius: 10)
[11:31:16 -386033.801659] AUTODETECT spr round 3 (radius: 15)
[11:33:18 -316226.646418] AUTODETECT spr round 4 (radius: 20)
[11:35:40 -302866.391056] AUTODETECT spr round 5 (radius: 25)
[11:38:26 -299866.060673] SPR radius for FAST iterations: 25 (autodetect)
[11:38:26 -299866.060673] Model parameter optimization (eps = 3.000000)
[11:38:47 -299645.390244] FAST spr round 1 (radius: 25)
[11:41:15 -275771.662146] FAST spr round 2 (radius: 25)
[11:43:19 -274792.992910] FAST spr round 3 (radius: 25)
[11:45:10 -274606.970888] FAST spr round 4 (radius: 25)
[11:46:51 -274542.208739] FAST spr round 5 (radius: 25)
[11:48:27 -274503.669574] FAST spr round 6 (radius: 25)
[11:50:01 -274457.159045] FAST spr round 7 (radius: 25)
[11:51:32 -274450.112709] FAST spr round 8 (radius: 25)
[11:53:00 -274433.904321] FAST spr round 9 (radius: 25)
[11:54:29 -274409.894419] FAST spr round 10 (radius: 25)
[11:55:56 -274404.059517] FAST spr round 11 (radius: 25)
[11:57:22 -274395.544411] FAST spr round 12 (radius: 25)
[11:58:46 -274395.544396] Model parameter optimization (eps = 1.000000)
[11:58:56 -274393.109836] SLOW spr round 1 (radius: 5)
[12:00:52 -274324.170501] SLOW spr round 2 (radius: 5)
[12:02:45 -274317.415013] SLOW spr round 3 (radius: 5)
[12:04:35 -274317.414931] SLOW spr round 4 (radius: 10)
[12:06:27 -274317.414931] SLOW spr round 5 (radius: 15)
[12:09:56 -274315.714182] SLOW spr round 6 (radius: 5)
[12:12:05 -274315.714077] SLOW spr round 7 (radius: 10)
[12:14:16 -274315.714077] SLOW spr round 8 (radius: 15)
[12:17:24 -274315.714077] SLOW spr round 9 (radius: 20)
[12:23:06 -274315.714077] SLOW spr round 10 (radius: 25)
[12:30:04 -274315.714077] Model parameter optimization (eps = 0.100000)

[12:30:08] ML tree search #10, logLikelihood: -274315.631795

[12:30:08 -796004.965992] Initial branch length optimization
[12:30:11 -712854.152348] Model parameter optimization (eps = 10.000000)
[12:30:38 -710537.566795] AUTODETECT spr round 1 (radius: 5)
[12:32:32 -556394.834274] AUTODETECT spr round 2 (radius: 10)
[12:34:38 -401218.910758] AUTODETECT spr round 3 (radius: 15)
[12:37:10 -331736.119845] AUTODETECT spr round 4 (radius: 20)
[12:39:39 -311500.256689] AUTODETECT spr round 5 (radius: 25)
[12:42:39 -308958.709667] SPR radius for FAST iterations: 25 (autodetect)
[12:42:39 -308958.709667] Model parameter optimization (eps = 3.000000)
[12:42:58 -308731.456459] FAST spr round 1 (radius: 25)
[12:45:32 -276301.036476] FAST spr round 2 (radius: 25)
[12:47:33 -274627.417837] FAST spr round 3 (radius: 25)
[12:49:20 -274488.635177] FAST spr round 4 (radius: 25)
[12:50:57 -274482.171338] FAST spr round 5 (radius: 25)
[12:52:29 -274478.340029] FAST spr round 6 (radius: 25)
[12:53:58 -274478.339702] Model parameter optimization (eps = 1.000000)
[12:54:04 -274477.811758] SLOW spr round 1 (radius: 5)
[12:56:05 -274362.866470] SLOW spr round 2 (radius: 5)
[12:58:02 -274347.519151] SLOW spr round 3 (radius: 5)
[12:59:53 -274347.478958] SLOW spr round 4 (radius: 10)
[13:01:45 -274343.927513] SLOW spr round 5 (radius: 5)
[13:03:54 -274339.880258] SLOW spr round 6 (radius: 5)
[13:05:52 -274339.743601] SLOW spr round 7 (radius: 5)
[13:07:45 -274339.743489] SLOW spr round 8 (radius: 10)
[13:09:37 -274338.230457] SLOW spr round 9 (radius: 5)
[13:11:45 -274338.230354] SLOW spr round 10 (radius: 10)
[13:13:47 -274337.679062] SLOW spr round 11 (radius: 5)
[13:15:53 -274337.679041] SLOW spr round 12 (radius: 10)
[13:17:55 -274337.679041] SLOW spr round 13 (radius: 15)
[13:20:59 -274337.679041] SLOW spr round 14 (radius: 20)
[13:26:06 -274337.679041] SLOW spr round 15 (radius: 25)
[13:32:38 -274337.679041] Model parameter optimization (eps = 0.100000)

[13:32:47] ML tree search #11, logLikelihood: -274337.557904

[13:32:47 -796633.649092] Initial branch length optimization
[13:32:51 -713286.162402] Model parameter optimization (eps = 10.000000)
[13:33:15 -710934.786608] AUTODETECT spr round 1 (radius: 5)
[13:35:11 -555679.646662] AUTODETECT spr round 2 (radius: 10)
[13:37:18 -391048.585483] AUTODETECT spr round 3 (radius: 15)
[13:39:24 -325660.318478] AUTODETECT spr round 4 (radius: 20)
[13:41:59 -305865.336527] AUTODETECT spr round 5 (radius: 25)
[13:44:47 -303308.083394] SPR radius for FAST iterations: 25 (autodetect)
[13:44:47 -303308.083394] Model parameter optimization (eps = 3.000000)
[13:44:55 -303282.219485] FAST spr round 1 (radius: 25)
[13:47:25 -276634.618287] FAST spr round 2 (radius: 25)
[13:49:26 -274787.667601] FAST spr round 3 (radius: 25)
[13:51:15 -274729.216798] FAST spr round 4 (radius: 25)
[13:52:51 -274722.899167] FAST spr round 5 (radius: 25)
[13:54:23 -274722.897989] Model parameter optimization (eps = 1.000000)
[13:54:46 -274617.186779] SLOW spr round 1 (radius: 5)
[13:56:49 -274459.120514] SLOW spr round 2 (radius: 5)
[13:58:47 -274442.782140] SLOW spr round 3 (radius: 5)
[14:00:39 -274437.552143] SLOW spr round 4 (radius: 5)
[14:02:29 -274437.552109] SLOW spr round 5 (radius: 10)
[14:04:23 -274420.422710] SLOW spr round 6 (radius: 5)
[14:06:34 -274402.684872] SLOW spr round 7 (radius: 5)
[14:08:34 -274392.340599] SLOW spr round 8 (radius: 5)
[14:10:26 -274392.340478] SLOW spr round 9 (radius: 10)
[14:12:19 -274392.122730] SLOW spr round 10 (radius: 5)
[14:14:26 -274391.048872] SLOW spr round 11 (radius: 5)
[14:16:22 -274391.048861] SLOW spr round 12 (radius: 10)
[14:18:18 -274389.826556] SLOW spr round 13 (radius: 5)
[14:20:24 -274386.809882] SLOW spr round 14 (radius: 5)
[14:22:21 -274386.809828] SLOW spr round 15 (radius: 10)
[14:24:17 -274385.694668] SLOW spr round 16 (radius: 5)
[14:26:25 -274380.402035] SLOW spr round 17 (radius: 5)
[14:28:25 -274374.636050] SLOW spr round 18 (radius: 5)
[14:30:17 -274374.635879] SLOW spr round 19 (radius: 10)
[14:32:11 -274374.635875] SLOW spr round 20 (radius: 15)
[14:35:21 -274374.635875] SLOW spr round 21 (radius: 20)
[14:40:08 -274374.635875] SLOW spr round 22 (radius: 25)
[14:46:07 -274359.606999] SLOW spr round 23 (radius: 5)
[14:48:23 -274354.155385] SLOW spr round 24 (radius: 5)
[14:50:24 -274354.155351] SLOW spr round 25 (radius: 10)
[14:52:23 -274354.123798] SLOW spr round 26 (radius: 15)
[14:55:26 -274354.123672] SLOW spr round 27 (radius: 20)
[15:00:18 -274354.123670] SLOW spr round 28 (radius: 25)
[15:06:25 -274354.123670] Model parameter optimization (eps = 0.100000)

[15:06:39] ML tree search #12, logLikelihood: -274350.543482

[15:06:39 -795378.216830] Initial branch length optimization
[15:06:42 -712967.113834] Model parameter optimization (eps = 10.000000)
[15:07:06 -710737.461122] AUTODETECT spr round 1 (radius: 5)
[15:09:05 -546945.991823] AUTODETECT spr round 2 (radius: 10)
[15:11:19 -406135.226921] AUTODETECT spr round 3 (radius: 15)
[15:14:09 -338297.840104] AUTODETECT spr round 4 (radius: 20)
[15:16:48 -310994.735365] AUTODETECT spr round 5 (radius: 25)
[15:19:59 -307024.923689] SPR radius for FAST iterations: 25 (autodetect)
[15:19:59 -307024.923689] Model parameter optimization (eps = 3.000000)
[15:20:20 -306791.548163] FAST spr round 1 (radius: 25)
[15:23:11 -275635.274270] FAST spr round 2 (radius: 25)
[15:25:27 -274603.881986] FAST spr round 3 (radius: 25)
[15:27:31 -274528.585013] FAST spr round 4 (radius: 25)
[15:29:26 -274487.680987] FAST spr round 5 (radius: 25)
[15:31:13 -274479.100592] FAST spr round 6 (radius: 25)
[15:32:57 -274478.867960] FAST spr round 7 (radius: 25)
[15:34:38 -274478.867927] Model parameter optimization (eps = 1.000000)
[15:34:50 -274474.615235] SLOW spr round 1 (radius: 5)
[15:37:04 -274353.728814] SLOW spr round 2 (radius: 5)
[15:39:12 -274346.314969] SLOW spr round 3 (radius: 5)
[15:41:14 -274346.314867] SLOW spr round 4 (radius: 10)
[15:43:21 -274329.423644] SLOW spr round 5 (radius: 5)
[15:45:44 -274305.881163] SLOW spr round 6 (radius: 5)
[15:47:55 -274304.431167] SLOW spr round 7 (radius: 5)
[15:50:00 -274304.247825] SLOW spr round 8 (radius: 5)
[15:52:04 -274304.247785] SLOW spr round 9 (radius: 10)
[15:54:10 -274303.691687] SLOW spr round 10 (radius: 5)
[15:56:31 -274303.691592] SLOW spr round 11 (radius: 10)
[15:58:47 -274303.691589] SLOW spr round 12 (radius: 15)
[16:02:06 -274303.691589] SLOW spr round 13 (radius: 20)
[16:07:40 -274303.691589] SLOW spr round 14 (radius: 25)
[16:14:24 -274303.691589] Model parameter optimization (eps = 0.100000)

[16:14:34] ML tree search #13, logLikelihood: -274302.958092

[16:14:34 -796851.790844] Initial branch length optimization
[16:14:37 -713412.071098] Model parameter optimization (eps = 10.000000)
[16:15:08 -711067.832419] AUTODETECT spr round 1 (radius: 5)
[16:17:17 -553701.470226] AUTODETECT spr round 2 (radius: 10)
[16:19:40 -394601.776929] AUTODETECT spr round 3 (radius: 15)
[16:22:08 -325457.756702] AUTODETECT spr round 4 (radius: 20)
[16:24:51 -305916.458458] AUTODETECT spr round 5 (radius: 25)
[16:28:04 -301957.186523] SPR radius for FAST iterations: 25 (autodetect)
[16:28:04 -301957.186523] Model parameter optimization (eps = 3.000000)
[16:28:29 -301717.901497] FAST spr round 1 (radius: 25)
[16:31:19 -275753.054647] FAST spr round 2 (radius: 25)
[16:33:36 -274672.180017] FAST spr round 3 (radius: 25)
[16:35:40 -274567.726128] FAST spr round 4 (radius: 25)
[16:37:33 -274555.639805] FAST spr round 5 (radius: 25)
[16:39:21 -274555.639771] Model parameter optimization (eps = 1.000000)
[16:39:34 -274547.747711] SLOW spr round 1 (radius: 5)
[16:41:50 -274427.974782] SLOW spr round 2 (radius: 5)
[16:44:01 -274399.105235] SLOW spr round 3 (radius: 5)
[16:46:10 -274390.834675] SLOW spr round 4 (radius: 5)
[16:48:16 -274389.949195] SLOW spr round 5 (radius: 5)
[16:50:20 -274389.949102] SLOW spr round 6 (radius: 10)
[16:52:30 -274358.460427] SLOW spr round 7 (radius: 5)
[16:54:53 -274355.986910] SLOW spr round 8 (radius: 5)
[16:57:06 -274355.519134] SLOW spr round 9 (radius: 5)
[16:59:14 -274354.608831] SLOW spr round 10 (radius: 5)
[17:01:22 -274352.053609] SLOW spr round 11 (radius: 5)
[17:03:27 -274351.028257] SLOW spr round 12 (radius: 5)
[17:05:33 -274351.028250] SLOW spr round 13 (radius: 10)
[17:07:41 -274351.028250] SLOW spr round 14 (radius: 15)
[17:11:32 -274351.028250] SLOW spr round 15 (radius: 20)
[17:17:43 -274351.028250] SLOW spr round 16 (radius: 25)
[17:25:40 -274351.028250] Model parameter optimization (eps = 0.100000)

[17:25:46] ML tree search #14, logLikelihood: -274351.007181

[17:25:46 -797102.825689] Initial branch length optimization
[17:25:49 -712633.733886] Model parameter optimization (eps = 10.000000)
[17:26:18 -710256.084084] AUTODETECT spr round 1 (radius: 5)
[17:28:32 -564511.305092] AUTODETECT spr round 2 (radius: 10)
[17:30:57 -379959.293244] AUTODETECT spr round 3 (radius: 15)
[17:33:23 -319356.647409] AUTODETECT spr round 4 (radius: 20)
[17:36:05 -305248.594684] AUTODETECT spr round 5 (radius: 25)
[17:39:05 -300771.743134] SPR radius for FAST iterations: 25 (autodetect)
[17:39:05 -300771.743134] Model parameter optimization (eps = 3.000000)
[17:39:28 -300652.268362] FAST spr round 1 (radius: 25)
[17:42:23 -277189.693214] FAST spr round 2 (radius: 25)
[17:44:43 -274615.876552] FAST spr round 3 (radius: 25)
[17:46:49 -274475.915741] FAST spr round 4 (radius: 25)
[17:48:42 -274462.155994] FAST spr round 5 (radius: 25)
[17:50:30 -274460.598083] FAST spr round 6 (radius: 25)
[17:52:15 -274460.598000] Model parameter optimization (eps = 1.000000)
[17:52:28 -274453.256794] SLOW spr round 1 (radius: 5)
[17:54:47 -274366.666133] SLOW spr round 2 (radius: 5)
[17:57:01 -274361.799120] SLOW spr round 3 (radius: 5)
[17:59:09 -274360.562167] SLOW spr round 4 (radius: 5)
[18:01:15 -274360.562144] SLOW spr round 5 (radius: 10)
[18:03:24 -274360.161039] SLOW spr round 6 (radius: 5)
[18:05:47 -274359.822401] SLOW spr round 7 (radius: 5)
[18:07:59 -274359.822386] SLOW spr round 8 (radius: 10)
[18:10:10 -274357.781811] SLOW spr round 9 (radius: 5)
[18:12:32 -274357.445345] SLOW spr round 10 (radius: 5)
[18:14:46 -274357.445338] SLOW spr round 11 (radius: 10)
[18:16:56 -274357.445338] SLOW spr round 12 (radius: 15)
[18:20:28 -274357.445338] SLOW spr round 13 (radius: 20)
[18:26:09 -274357.445338] SLOW spr round 14 (radius: 25)
[18:33:15 -274357.445338] Model parameter optimization (eps = 0.100000)

[18:33:23] ML tree search #15, logLikelihood: -274357.324734

[18:33:23 -791139.012539] Initial branch length optimization
[18:33:26 -709447.928212] Model parameter optimization (eps = 10.000000)
[18:33:55 -707130.967134] AUTODETECT spr round 1 (radius: 5)
[18:36:06 -557671.696067] AUTODETECT spr round 2 (radius: 10)
[18:38:33 -394801.383811] AUTODETECT spr round 3 (radius: 15)
[18:41:08 -326746.830901] AUTODETECT spr round 4 (radius: 20)
[18:44:03 -308105.826724] AUTODETECT spr round 5 (radius: 25)
[18:47:34 -306112.540213] SPR radius for FAST iterations: 25 (autodetect)
[18:47:34 -306112.540213] Model parameter optimization (eps = 3.000000)
[18:47:57 -305858.978364] FAST spr round 1 (radius: 25)
[18:50:53 -276181.463369] FAST spr round 2 (radius: 25)
[18:53:19 -274748.275003] FAST spr round 3 (radius: 25)
[18:55:30 -274598.952873] FAST spr round 4 (radius: 25)
[18:57:29 -274540.904516] FAST spr round 5 (radius: 25)
[18:59:19 -274536.764092] FAST spr round 6 (radius: 25)
[19:01:06 -274522.417216] FAST spr round 7 (radius: 25)
[19:02:52 -274522.417029] Model parameter optimization (eps = 1.000000)
[19:03:03 -274519.963303] SLOW spr round 1 (radius: 5)
[19:05:25 -274442.038155] SLOW spr round 2 (radius: 5)
[19:07:39 -274420.340856] SLOW spr round 3 (radius: 5)
[19:09:48 -274410.829584] SLOW spr round 4 (radius: 5)
[19:11:55 -274410.829565] SLOW spr round 5 (radius: 10)
[19:14:08 -274381.712121] SLOW spr round 6 (radius: 5)
[19:16:36 -274348.800465] SLOW spr round 7 (radius: 5)
[19:18:53 -274343.371852] SLOW spr round 8 (radius: 5)
[19:21:05 -274329.695124] SLOW spr round 9 (radius: 5)
[19:23:14 -274329.694969] SLOW spr round 10 (radius: 10)
[19:25:23 -274329.583335] SLOW spr round 11 (radius: 5)
[19:27:47 -274328.712833] SLOW spr round 12 (radius: 5)
[19:30:02 -274328.712804] SLOW spr round 13 (radius: 10)
[19:32:14 -274328.712804] SLOW spr round 14 (radius: 15)
[19:35:46 -274328.712804] SLOW spr round 15 (radius: 20)
[19:41:18 -274328.712804] SLOW spr round 16 (radius: 25)
[19:48:12 -274328.712804] Model parameter optimization (eps = 0.100000)

[19:48:22] ML tree search #16, logLikelihood: -274328.613138

[19:48:22 -795159.011404] Initial branch length optimization
[19:48:25 -713617.101411] Model parameter optimization (eps = 10.000000)
[19:48:59 -711431.468327] AUTODETECT spr round 1 (radius: 5)
[19:51:09 -561542.278330] AUTODETECT spr round 2 (radius: 10)
[19:53:31 -389287.800022] AUTODETECT spr round 3 (radius: 15)
[19:55:53 -327541.386956] AUTODETECT spr round 4 (radius: 20)
[19:58:35 -309847.300729] AUTODETECT spr round 5 (radius: 25)
[20:01:52 -301832.492197] SPR radius for FAST iterations: 25 (autodetect)
[20:01:52 -301832.492197] Model parameter optimization (eps = 3.000000)
[20:02:15 -301559.107720] FAST spr round 1 (radius: 25)
[20:05:03 -275795.240956] FAST spr round 2 (radius: 25)
[20:07:22 -274572.275632] FAST spr round 3 (radius: 25)
[20:09:29 -274465.277101] FAST spr round 4 (radius: 25)
[20:11:24 -274458.327045] FAST spr round 5 (radius: 25)
[20:13:12 -274458.326980] Model parameter optimization (eps = 1.000000)
[20:13:25 -274454.682643] SLOW spr round 1 (radius: 5)
[20:15:45 -274344.596855] SLOW spr round 2 (radius: 5)
[20:17:57 -274339.767940] SLOW spr round 3 (radius: 5)
[20:20:06 -274337.003912] SLOW spr round 4 (radius: 5)
[20:22:12 -274337.003801] SLOW spr round 5 (radius: 10)
[20:24:23 -274321.316569] SLOW spr round 6 (radius: 5)
[20:26:50 -274317.557616] SLOW spr round 7 (radius: 5)
[20:29:04 -274317.169673] SLOW spr round 8 (radius: 5)
[20:31:13 -274317.169478] SLOW spr round 9 (radius: 10)
[20:33:23 -274316.957273] SLOW spr round 10 (radius: 5)
[20:35:46 -274316.136065] SLOW spr round 11 (radius: 5)
[20:38:00 -274316.136064] SLOW spr round 12 (radius: 10)
[20:40:13 -274316.136064] SLOW spr round 13 (radius: 15)
[20:44:00 -274316.136064] SLOW spr round 14 (radius: 20)
[20:50:08 -274316.136064] SLOW spr round 15 (radius: 25)
[20:57:56 -274316.136064] Model parameter optimization (eps = 0.100000)

[20:58:04] ML tree search #17, logLikelihood: -274316.017975

[20:58:04 -795862.077418] Initial branch length optimization
[20:58:06 -711953.039644] Model parameter optimization (eps = 10.000000)
[20:58:39 -709522.777833] AUTODETECT spr round 1 (radius: 5)
[21:00:52 -567096.132953] AUTODETECT spr round 2 (radius: 10)
[21:03:13 -390608.047608] AUTODETECT spr round 3 (radius: 15)
[21:05:35 -325861.474316] AUTODETECT spr round 4 (radius: 20)
[21:08:28 -307678.459379] AUTODETECT spr round 5 (radius: 25)
[21:11:50 -305838.730446] SPR radius for FAST iterations: 25 (autodetect)
[21:11:50 -305838.730446] Model parameter optimization (eps = 3.000000)
[21:12:18 -305639.004084] FAST spr round 1 (radius: 25)
[21:15:09 -276014.635142] FAST spr round 2 (radius: 25)
[21:17:31 -274790.695528] FAST spr round 3 (radius: 25)
[21:19:36 -274513.707181] FAST spr round 4 (radius: 25)
[21:21:31 -274477.996743] FAST spr round 5 (radius: 25)
[21:23:20 -274476.049610] FAST spr round 6 (radius: 25)
[21:25:07 -274476.049298] Model parameter optimization (eps = 1.000000)
[21:25:18 -274472.836463] SLOW spr round 1 (radius: 5)
[21:27:37 -274388.341715] SLOW spr round 2 (radius: 5)
[21:29:50 -274376.946383] SLOW spr round 3 (radius: 5)
[21:32:00 -274367.010172] SLOW spr round 4 (radius: 5)
[21:34:07 -274366.963812] SLOW spr round 5 (radius: 10)
[21:36:15 -274357.364683] SLOW spr round 6 (radius: 5)
[21:38:39 -274354.008038] SLOW spr round 7 (radius: 5)
[21:40:51 -274353.189806] SLOW spr round 8 (radius: 5)
[21:42:59 -274352.746162] SLOW spr round 9 (radius: 5)
[21:45:04 -274352.746104] SLOW spr round 10 (radius: 10)
[21:47:11 -274350.388843] SLOW spr round 11 (radius: 5)
[21:49:35 -274333.317854] SLOW spr round 12 (radius: 5)
[21:51:50 -274323.880147] SLOW spr round 13 (radius: 5)
[21:54:02 -274322.140911] SLOW spr round 14 (radius: 5)
[21:56:09 -274322.140577] SLOW spr round 15 (radius: 10)
[21:58:16 -274321.286414] SLOW spr round 16 (radius: 5)
[22:00:39 -274319.877638] SLOW spr round 17 (radius: 5)
[22:02:53 -274319.877638] SLOW spr round 18 (radius: 10)
[22:05:04 -274319.877638] SLOW spr round 19 (radius: 15)
[22:08:44 -274319.877638] SLOW spr round 20 (radius: 20)
[22:14:30 -274319.877638] SLOW spr round 21 (radius: 25)
[22:21:46 -274319.877638] Model parameter optimization (eps = 0.100000)

[22:21:59] ML tree search #18, logLikelihood: -274319.308600

[22:21:59 -796258.509965] Initial branch length optimization
[22:22:03 -712858.543867] Model parameter optimization (eps = 10.000000)
[22:22:38 -710637.769091] AUTODETECT spr round 1 (radius: 5)
[22:24:48 -557069.008075] AUTODETECT spr round 2 (radius: 10)
[22:27:10 -387103.134317] AUTODETECT spr round 3 (radius: 15)
[22:29:35 -323892.584017] AUTODETECT spr round 4 (radius: 20)
[22:32:18 -305854.364025] AUTODETECT spr round 5 (radius: 25)
[22:35:30 -302781.796989] SPR radius for FAST iterations: 25 (autodetect)
[22:35:30 -302781.796989] Model parameter optimization (eps = 3.000000)
[22:35:53 -302512.520642] FAST spr round 1 (radius: 25)
[22:38:38 -277295.957511] FAST spr round 2 (radius: 25)
[22:40:58 -274853.251697] FAST spr round 3 (radius: 25)
[22:43:08 -274619.291532] FAST spr round 4 (radius: 25)
[22:45:06 -274589.882277] FAST spr round 5 (radius: 25)
[22:46:54 -274584.965738] FAST spr round 6 (radius: 25)
[22:48:39 -274584.965488] Model parameter optimization (eps = 1.000000)
[22:48:51 -274575.612346] SLOW spr round 1 (radius: 5)
[22:51:14 -274457.318460] SLOW spr round 2 (radius: 5)
[22:53:27 -274437.649667] SLOW spr round 3 (radius: 5)
[22:55:32 -274436.997869] SLOW spr round 4 (radius: 5)
[22:57:37 -274436.997823] SLOW spr round 5 (radius: 10)
[22:59:47 -274434.774203] SLOW spr round 6 (radius: 5)
[23:02:11 -274430.537801] SLOW spr round 7 (radius: 5)
[23:04:24 -274430.056716] SLOW spr round 8 (radius: 5)
[23:06:31 -274430.056651] SLOW spr round 9 (radius: 10)
[23:08:42 -274429.587855] SLOW spr round 10 (radius: 5)
[23:11:08 -274396.595721] SLOW spr round 11 (radius: 5)
[23:13:24 -274388.922874] SLOW spr round 12 (radius: 5)
[23:15:33 -274383.494344] SLOW spr round 13 (radius: 5)
[23:17:39 -274383.494337] SLOW spr round 14 (radius: 10)
[23:19:52 -274362.778293] SLOW spr round 15 (radius: 5)
[23:22:22 -274338.844580] SLOW spr round 16 (radius: 5)
[23:24:40 -274332.500109] SLOW spr round 17 (radius: 5)
[23:26:53 -274332.500096] SLOW spr round 18 (radius: 10)
[23:29:07 -274332.500096] SLOW spr round 19 (radius: 15)
[23:32:54 -274329.932134] SLOW spr round 20 (radius: 5)
[23:35:26 -274323.082676] SLOW spr round 21 (radius: 5)
[23:37:42 -274323.082665] SLOW spr round 22 (radius: 10)
[23:39:57 -274320.412649] SLOW spr round 23 (radius: 5)
[23:42:23 -274318.354020] SLOW spr round 24 (radius: 5)
[23:44:38 -274313.481719] SLOW spr round 25 (radius: 5)
[23:46:46 -274313.481642] SLOW spr round 26 (radius: 10)
[23:48:57 -274313.481642] SLOW spr round 27 (radius: 15)
[23:52:40 -274313.481642] SLOW spr round 28 (radius: 20)
[23:58:36 -274313.481642] SLOW spr round 29 (radius: 25)
[24:06:11 -274313.481642] Model parameter optimization (eps = 0.100000)

[24:06:19] ML tree search #19, logLikelihood: -274313.252178

[24:06:19 -797102.644197] Initial branch length optimization
[24:06:22 -713768.156143] Model parameter optimization (eps = 10.000000)
[24:06:52 -711406.044652] AUTODETECT spr round 1 (radius: 5)
[24:09:03 -567516.897733] AUTODETECT spr round 2 (radius: 10)
[24:11:25 -389834.446189] AUTODETECT spr round 3 (radius: 15)
[24:13:54 -329052.325265] AUTODETECT spr round 4 (radius: 20)
[24:16:58 -307073.199269] AUTODETECT spr round 5 (radius: 25)
[24:20:56 -305040.036425] SPR radius for FAST iterations: 25 (autodetect)
[24:20:56 -305040.036425] Model parameter optimization (eps = 3.000000)
[24:21:27 -304766.321033] FAST spr round 1 (radius: 25)
[24:24:29 -276104.394177] FAST spr round 2 (radius: 25)
[24:26:54 -274573.831267] FAST spr round 3 (radius: 25)
[24:29:06 -274497.981238] FAST spr round 4 (radius: 25)
[24:31:06 -274473.597167] FAST spr round 5 (radius: 25)
[24:32:54 -274473.596953] Model parameter optimization (eps = 1.000000)
[24:33:06 -274471.308383] SLOW spr round 1 (radius: 5)
[24:35:25 -274397.296748] SLOW spr round 2 (radius: 5)
[24:37:40 -274380.610185] SLOW spr round 3 (radius: 5)
[24:39:47 -274380.610153] SLOW spr round 4 (radius: 10)
[24:41:57 -274379.494238] SLOW spr round 5 (radius: 5)
[24:44:19 -274379.493932] SLOW spr round 6 (radius: 10)
[24:46:40 -274378.703628] SLOW spr round 7 (radius: 5)
[24:49:04 -274360.259345] SLOW spr round 8 (radius: 5)
[24:51:20 -274357.007658] SLOW spr round 9 (radius: 5)
[24:53:27 -274357.007551] SLOW spr round 10 (radius: 10)
[24:55:38 -274356.594368] SLOW spr round 11 (radius: 5)
[24:57:59 -274356.594297] SLOW spr round 12 (radius: 10)
[25:00:20 -274356.323483] SLOW spr round 13 (radius: 5)
[25:02:41 -274355.456677] SLOW spr round 14 (radius: 5)
[25:04:52 -274355.456677] SLOW spr round 15 (radius: 10)
[25:07:04 -274355.456677] SLOW spr round 16 (radius: 15)
[25:10:53 -274333.013132] SLOW spr round 17 (radius: 5)
[25:13:19 -274328.562497] SLOW spr round 18 (radius: 5)
[25:15:34 -274328.562485] SLOW spr round 19 (radius: 10)
[25:17:49 -274328.540760] SLOW spr round 20 (radius: 15)
[25:21:35 -274328.540609] SLOW spr round 21 (radius: 20)
[25:27:46 -274328.540607] SLOW spr round 22 (radius: 25)
[25:35:22 -274328.540607] Model parameter optimization (eps = 0.100000)

[25:35:29] ML tree search #20, logLikelihood: -274328.472757


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.161257,0.186914) (0.143972,0.684076) (0.354218,0.699549) (0.340554,1.831072) 
   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: -274298.005936

AIC score: 552606.011871 / AICc score: 8596666.011871 / BIC score: 561398.326641
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=593).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q06730/3_mltree/Q06730.raxml.log

Analysis started: 30-Jun-2021 21:30:24 / finished: 01-Jul-2021 23:05:53

Elapsed time: 92129.404 seconds

Consumed energy: 7854.886 Wh (= 39 km in an electric car, or 196 km with an e-scooter!)