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

System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 12-Jul-2021 21:33:33 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/2_msa/Q6BAA4_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4 --seed 2 --threads 2 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/2_msa/Q6BAA4_trimmed_msa.fasta
[00:00:00] Loaded alignment with 582 taxa and 85 sites

WARNING: Sequences sp_Q5DRQ8_FCRLB_MOUSE_10090 and tr_D4A8M3_D4A8M3_RAT_10116 are exactly identical!
WARNING: Sequences tr_G1Q8E9_G1Q8E9_MYOLU_59463 and tr_G1Q8R0_G1Q8R0_MYOLU_59463 are exactly identical!
WARNING: Sequences tr_A0A2I2ZM01_A0A2I2ZM01_GORGO_9595 and tr_H2N4Z9_H2N4Z9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2ZM01_A0A2I2ZM01_GORGO_9595 and tr_A0A2I3S671_A0A2I3S671_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2ZM01_A0A2I2ZM01_GORGO_9595 and tr_A0A2R9BW59_A0A2R9BW59_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3QMN5_G3QMN5_GORGO_9595 and tr_H2R0N4_H2R0N4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QMN5_G3QMN5_GORGO_9595 and tr_A0A2R9AI74_A0A2R9AI74_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3QU04_G3QU04_GORGO_9595 and tr_H2Q0A9_H2Q0A9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QU04_G3QU04_GORGO_9595 and sp_Q96PJ5_FCRL4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QU04_G3QU04_GORGO_9595 and tr_A0A2R9BST1_A0A2R9BST1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RCN7_G3RCN7_GORGO_9595 and tr_H2R346_H2R346_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RCN7_G3RCN7_GORGO_9595 and tr_A0A2R9A5Z3_A0A2R9A5Z3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SBC6_G3SBC6_GORGO_9595 and tr_H2N4Z8_H2N4Z8_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3SBC6_G3SBC6_GORGO_9595 and sp_Q6BAA4_FCRLB_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3SBC6_G3SBC6_GORGO_9595 and tr_F7IFF3_F7IFF3_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G3SBC6_G3SBC6_GORGO_9595 and tr_A0A2R8ZXJ3_A0A2R8ZXJ3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2N501_H2N501_PONAB_9601 and sp_P31994_FCG2B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2N501_H2N501_PONAB_9601 and sp_P31995_FCG2C_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2N501_H2N501_PONAB_9601 and tr_A0A2R9BL82_A0A2R9BL82_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2PZV3_H2PZV3_PANTR_9598 and tr_A0A2R9BX04_A0A2R9BX04_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q0C9_H2Q0C9_PANTR_9598 and sp_P12319_FCERA_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2Q0C9_H2Q0C9_PANTR_9598 and tr_A0A2R8ZWM1_A0A2R8ZWM1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2R8H5_H2R8H5_PANTR_9598 and sp_P08637_FCG3A_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H0UZS9_H0UZS9_CAVPO_10141 and sp_Q60513_FCGR2_CAVPO_10141 are exactly identical!
WARNING: Sequences sp_A3RFZ7_FCGR3_MACMU_9544 and tr_K7DYQ0_K7DYQ0_MACMU_9544 are exactly identical!
WARNING: Sequences sp_A3RFZ7_FCGR3_MACMU_9544 and tr_G7NXB6_G7NXB6_MACFA_9541 are exactly identical!
WARNING: Sequences sp_A3RFZ7_FCGR3_MACMU_9544 and tr_A0A2K6D7M8_A0A2K6D7M8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_G7NXB8_G7NXB8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2I3M0Y3_A0A2I3M0Y3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2K5NTC0_A0A2K5NTC0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2K6DAR9_A0A2K6DAR9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6TSH6_F6TSH6_MACMU_9544 and tr_A0A2K5YQK7_A0A2K5YQK7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6U7P0_F6U7P0_MACMU_9544 and tr_A0A2K6D6T2_A0A2K6D6T2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_G7NWB2_G7NWB2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_A0A0D9S402_A0A0D9S402_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_A0A2K5M526_A0A2K5M526_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_A0A2K6AXC5_A0A2K6AXC5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6YWM7_F6YWM7_MACMU_9544 and tr_A0A2K5XQ45_A0A2K5XQ45_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7BDL2_F7BDL2_MACMU_9544 and tr_A0A2K6C741_A0A2K6C741_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EQR1_F7EQR1_MACMU_9544 and tr_A0A2K6BUF7_A0A2K6BUF7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_G7NVA6_G7NVA6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A096NPN3_A0A096NPN3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A2K5NZT6_A0A2K5NZT6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7EQU4_F7EQU4_MACMU_9544 and tr_A0A2K6B6Q5_A0A2K6B6Q5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GVR2_F7GVR2_MACMU_9544 and tr_G7NXB7_G7NXB7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1B8Y5X3_A0A1B8Y5X3_XENTR_8364 and tr_L7N3C7_L7N3C7_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A1B8Y7I8_A0A1B8Y7I8_XENTR_8364 and tr_L7N349_L7N349_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A287B336_A0A287B336_PIG_9823 and sp_Q28942_FCGR3_PIG_9823 are exactly identical!
WARNING: Sequences sp_P79107_FCGR3_BOVIN_9913 and tr_Q2KI63_Q2KI63_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A096N0K1_A0A096N0K1_PAPAN_9555 and tr_A0A2K5MNP3_A0A2K5MNP3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096N0K1_A0A096N0K1_PAPAN_9555 and tr_A0A2K5Y4T2_A0A2K5Y4T2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096N1B3_A0A096N1B3_PAPAN_9555 and tr_A0A2K5M880_A0A2K5M880_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096N1B3_A0A096N1B3_PAPAN_9555 and tr_A0A2K5YTD1_A0A2K5YTD1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A0D9S3A7_A0A0D9S3A7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A2K5P0Y1_A0A2K5P0Y1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A2K6BFV5_A0A2K6BFV5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096N381_A0A096N381_PAPAN_9555 and tr_A0A2K5Y9T8_A0A2K5Y9T8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3MA91_A0A2I3MA91_PAPAN_9555 and sp_Q09TM2_FCGR3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3MA91_A0A2I3MA91_PAPAN_9555 and tr_A0A2K5M3N8_A0A2K5M3N8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3MA91_A0A2I3MA91_PAPAN_9555 and sp_Q09TM4_FCGR3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9S3B4_A0A0D9S3B4_CHLSB_60711 and tr_A0A2K5LGN5_A0A2K5LGN5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9S3B4_A0A0D9S3B4_CHLSB_60711 and tr_A0A2K6CKB2_A0A2K6CKB2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0D9S3B4_A0A0D9S3B4_CHLSB_60711 and tr_A0A2K5XJL8_A0A2K5XJL8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5MLL5_A0A2K5MLL5_CERAT_9531 and tr_A0A2K5Z1C2_A0A2K5Z1C2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4B8Z3_A0A2U4B8Z3_TURTR_9739 and tr_A0A2Y9MQE3_A0A2Y9MQE3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4B8Z3_A0A2U4B8Z3_TURTR_9739 and tr_A0A2Y9FE65_A0A2Y9FE65_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4B8Z3_A0A2U4B8Z3_TURTR_9739 and tr_A0A383Z9R6_A0A383Z9R6_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 67

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/Q6BAA4/3_mltree/Q6BAA4.raxml.reduced.phy

Alignment comprises 1 partitions and 85 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 85 / 85
Gaps: 7.22 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 582 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -84858.511090] Initial branch length optimization
[00:00:01 -73780.181692] Model parameter optimization (eps = 10.000000)
[00:00:18 -73379.060045] AUTODETECT spr round 1 (radius: 5)
[00:00:57 -51959.407952] AUTODETECT spr round 2 (radius: 10)
[00:01:40 -37189.077824] AUTODETECT spr round 3 (radius: 15)
[00:02:27 -33447.068737] AUTODETECT spr round 4 (radius: 20)
[00:03:27 -32079.119628] AUTODETECT spr round 5 (radius: 25)
[00:04:37 -31877.878100] SPR radius for FAST iterations: 25 (autodetect)
[00:04:37 -31877.878100] Model parameter optimization (eps = 3.000000)
[00:04:50 -31763.463543] FAST spr round 1 (radius: 25)
[00:05:35 -28913.296339] FAST spr round 2 (radius: 25)
[00:06:13 -28796.796871] FAST spr round 3 (radius: 25)
[00:06:49 -28775.575716] FAST spr round 4 (radius: 25)
[00:07:22 -28769.114254] FAST spr round 5 (radius: 25)
[00:07:53 -28767.826761] FAST spr round 6 (radius: 25)
[00:08:24 -28767.826730] Model parameter optimization (eps = 1.000000)
[00:08:30 -28766.794136] SLOW spr round 1 (radius: 5)
[00:09:14 -28754.853155] SLOW spr round 2 (radius: 5)
[00:09:56 -28754.654376] SLOW spr round 3 (radius: 5)
[00:10:37 -28754.654368] SLOW spr round 4 (radius: 10)
[00:11:19 -28753.391859] SLOW spr round 5 (radius: 5)
[00:12:12 -28753.391259] SLOW spr round 6 (radius: 10)
[00:12:58 -28752.816339] SLOW spr round 7 (radius: 5)
[00:13:52 -28749.003457] SLOW spr round 8 (radius: 5)
[00:14:39 -28749.003453] SLOW spr round 9 (radius: 10)
[00:15:21 -28749.003453] SLOW spr round 10 (radius: 15)
[00:16:30 -28748.884878] SLOW spr round 11 (radius: 5)
[00:17:27 -28746.637399] SLOW spr round 12 (radius: 5)
[00:18:16 -28746.637366] SLOW spr round 13 (radius: 10)
[00:19:00 -28746.637365] SLOW spr round 14 (radius: 15)
[00:20:07 -28746.637365] SLOW spr round 15 (radius: 20)
[00:21:16] [worker #1] ML tree search #2, logLikelihood: -28736.110596
[00:22:00 -28745.815745] SLOW spr round 16 (radius: 5)
[00:22:57 -28745.815745] SLOW spr round 17 (radius: 10)
[00:23:48 -28745.815745] SLOW spr round 18 (radius: 15)
[00:24:54 -28745.815745] SLOW spr round 19 (radius: 20)
[00:26:49 -28740.856652] SLOW spr round 20 (radius: 5)
[00:27:46 -28740.841995] SLOW spr round 21 (radius: 10)
[00:28:37 -28740.841982] SLOW spr round 22 (radius: 15)
[00:29:43 -28740.841925] SLOW spr round 23 (radius: 20)
[00:31:38 -28740.841925] SLOW spr round 24 (radius: 25)
[00:33:52 -28740.841925] Model parameter optimization (eps = 0.100000)

[00:33:55] [worker #0] ML tree search #1, logLikelihood: -28740.832169

[00:33:55 -84824.779425] Initial branch length optimization
[00:33:56 -74017.099651] Model parameter optimization (eps = 10.000000)
[00:34:09 -73625.322955] AUTODETECT spr round 1 (radius: 5)
[00:34:48 -52565.797261] AUTODETECT spr round 2 (radius: 10)
[00:35:34 -37074.819452] AUTODETECT spr round 3 (radius: 15)
[00:36:26 -32176.915173] AUTODETECT spr round 4 (radius: 20)
[00:37:39 -31632.880427] AUTODETECT spr round 5 (radius: 25)
[00:39:07 -31539.345938] SPR radius for FAST iterations: 25 (autodetect)
[00:39:07 -31539.345938] Model parameter optimization (eps = 3.000000)
[00:39:19 -31455.957696] FAST spr round 1 (radius: 25)
[00:40:03 -28940.773584] FAST spr round 2 (radius: 25)
[00:40:41 -28809.301838] FAST spr round 3 (radius: 25)
[00:41:17 -28787.809540] FAST spr round 4 (radius: 25)
[00:41:36] [worker #1] ML tree search #4, logLikelihood: -28699.551115
[00:41:50 -28779.446710] FAST spr round 5 (radius: 25)
[00:42:22 -28777.335007] FAST spr round 6 (radius: 25)
[00:42:53 -28776.844665] FAST spr round 7 (radius: 25)
[00:43:24 -28776.844638] Model parameter optimization (eps = 1.000000)
[00:43:31 -28771.138875] SLOW spr round 1 (radius: 5)
[00:44:14 -28766.057014] SLOW spr round 2 (radius: 5)
[00:44:58 -28766.056220] SLOW spr round 3 (radius: 10)
[00:45:40 -28765.911788] SLOW spr round 4 (radius: 5)
[00:46:36 -28765.545020] SLOW spr round 5 (radius: 5)
[00:47:25 -28765.544224] SLOW spr round 6 (radius: 10)
[00:48:09 -28765.328965] SLOW spr round 7 (radius: 5)
[00:49:03 -28765.328666] SLOW spr round 8 (radius: 10)
[00:49:50 -28765.082734] SLOW spr round 9 (radius: 5)
[00:50:42 -28765.082629] SLOW spr round 10 (radius: 10)
[00:51:29 -28764.718694] SLOW spr round 11 (radius: 5)
[00:52:22 -28764.718658] SLOW spr round 12 (radius: 10)
[00:53:08 -28764.718648] SLOW spr round 13 (radius: 15)
[00:54:19 -28764.369526] SLOW spr round 14 (radius: 5)
[00:55:16 -28764.369469] SLOW spr round 15 (radius: 10)
[00:56:07 -28764.369460] SLOW spr round 16 (radius: 15)
[00:57:16 -28764.369456] SLOW spr round 17 (radius: 20)
[00:59:19 -28764.167578] SLOW spr round 18 (radius: 5)
[01:00:17 -28764.047424] SLOW spr round 19 (radius: 5)
[01:01:06 -28764.044648] SLOW spr round 20 (radius: 10)
[01:01:24] [worker #1] ML tree search #6, logLikelihood: -28714.329140
[01:01:51 -28762.199148] SLOW spr round 21 (radius: 5)
[01:02:44 -28762.199148] SLOW spr round 22 (radius: 10)
[01:03:31 -28762.199147] SLOW spr round 23 (radius: 15)
[01:04:42 -28762.199147] SLOW spr round 24 (radius: 20)
[01:06:43 -28762.199147] SLOW spr round 25 (radius: 25)
[01:08:55 -28761.263435] SLOW spr round 26 (radius: 5)
[01:09:54 -28760.159146] SLOW spr round 27 (radius: 5)
[01:10:46 -28759.032815] SLOW spr round 28 (radius: 5)
[01:11:31 -28759.032727] SLOW spr round 29 (radius: 10)
[01:12:14 -28759.032707] SLOW spr round 30 (radius: 15)
[01:13:28 -28759.032696] SLOW spr round 31 (radius: 20)
[01:15:26 -28759.032691] SLOW spr round 32 (radius: 25)
[01:17:39 -28759.032688] Model parameter optimization (eps = 0.100000)

[01:17:44] [worker #0] ML tree search #3, logLikelihood: -28758.801478

[01:17:44 -85171.971380] Initial branch length optimization
[01:17:45 -74285.819113] Model parameter optimization (eps = 10.000000)
[01:18:05 -73903.029614] AUTODETECT spr round 1 (radius: 5)
[01:18:45 -52010.211053] AUTODETECT spr round 2 (radius: 10)
[01:19:32 -37507.880930] AUTODETECT spr round 3 (radius: 15)
[01:20:24 -32750.564954] AUTODETECT spr round 4 (radius: 20)
[01:21:36 -32264.553580] AUTODETECT spr round 5 (radius: 25)
[01:23:02 -32202.926801] SPR radius for FAST iterations: 25 (autodetect)
[01:23:02 -32202.926801] Model parameter optimization (eps = 3.000000)
[01:23:12 -32126.862700] FAST spr round 1 (radius: 25)
[01:23:59 -29053.252654] FAST spr round 2 (radius: 25)
[01:24:37 -28799.427454] FAST spr round 3 (radius: 25)
[01:25:13 -28775.797849] FAST spr round 4 (radius: 25)
[01:25:25] [worker #1] ML tree search #8, logLikelihood: -28748.012348
[01:25:45 -28761.306718] FAST spr round 5 (radius: 25)
[01:26:17 -28758.575673] FAST spr round 6 (radius: 25)
[01:26:48 -28757.561421] FAST spr round 7 (radius: 25)
[01:27:19 -28757.561319] Model parameter optimization (eps = 1.000000)
[01:27:31 -28754.160844] SLOW spr round 1 (radius: 5)
[01:28:14 -28748.196642] SLOW spr round 2 (radius: 5)
[01:28:57 -28747.866667] SLOW spr round 3 (radius: 5)
[01:29:40 -28747.866506] SLOW spr round 4 (radius: 10)
[01:30:22 -28747.272462] SLOW spr round 5 (radius: 5)
[01:31:17 -28743.211921] SLOW spr round 6 (radius: 5)
[01:32:06 -28742.215252] SLOW spr round 7 (radius: 5)
[01:32:50 -28742.214680] SLOW spr round 8 (radius: 10)
[01:33:33 -28741.880057] SLOW spr round 9 (radius: 5)
[01:34:28 -28740.438732] SLOW spr round 10 (radius: 5)
[01:35:15 -28740.437468] SLOW spr round 11 (radius: 10)
[01:35:58 -28740.437412] SLOW spr round 12 (radius: 15)
[01:37:06 -28740.437403] SLOW spr round 13 (radius: 20)
[01:38:53 -28740.437400] SLOW spr round 14 (radius: 25)
[01:41:02 -28740.183314] SLOW spr round 15 (radius: 5)
[01:41:59 -28739.882676] SLOW spr round 16 (radius: 5)
[01:42:49 -28739.127901] SLOW spr round 17 (radius: 5)
[01:43:35 -28739.126532] SLOW spr round 18 (radius: 10)
[01:44:17 -28739.126487] SLOW spr round 19 (radius: 15)
[01:45:26 -28739.126485] SLOW spr round 20 (radius: 20)
[01:47:12 -28739.126485] SLOW spr round 21 (radius: 25)
[01:47:56] [worker #1] ML tree search #10, logLikelihood: -28739.497246
[01:49:21 -28739.126485] Model parameter optimization (eps = 0.100000)

[01:49:25] [worker #0] ML tree search #5, logLikelihood: -28739.044764

[01:49:25 -85677.805370] Initial branch length optimization
[01:49:26 -74184.845033] Model parameter optimization (eps = 10.000000)
[01:49:43 -73780.055605] AUTODETECT spr round 1 (radius: 5)
[01:50:22 -53370.590877] AUTODETECT spr round 2 (radius: 10)
[01:51:08 -38975.496203] AUTODETECT spr round 3 (radius: 15)
[01:51:59 -34966.758177] AUTODETECT spr round 4 (radius: 20)
[01:53:06 -33624.168743] AUTODETECT spr round 5 (radius: 25)
[01:54:26 -33320.865300] SPR radius for FAST iterations: 25 (autodetect)
[01:54:26 -33320.865300] Model parameter optimization (eps = 3.000000)
[01:54:43 -33183.574397] FAST spr round 1 (radius: 25)
[01:55:30 -28930.751122] FAST spr round 2 (radius: 25)
[01:56:11 -28762.055322] FAST spr round 3 (radius: 25)
[01:56:46 -28750.392987] FAST spr round 4 (radius: 25)
[01:57:19 -28739.853417] FAST spr round 5 (radius: 25)
[01:57:52 -28733.882056] FAST spr round 6 (radius: 25)
[01:58:23 -28733.499850] FAST spr round 7 (radius: 25)
[01:58:54 -28733.499777] Model parameter optimization (eps = 1.000000)
[01:59:02 -28729.423109] SLOW spr round 1 (radius: 5)
[01:59:45 -28721.439106] SLOW spr round 2 (radius: 5)
[02:00:29 -28717.274935] SLOW spr round 3 (radius: 5)
[02:01:11 -28717.274476] SLOW spr round 4 (radius: 10)
[02:01:55 -28716.853425] SLOW spr round 5 (radius: 5)
[02:02:49 -28716.844418] SLOW spr round 6 (radius: 10)
[02:03:37 -28716.843553] SLOW spr round 7 (radius: 15)
[02:04:42 -28716.424511] SLOW spr round 8 (radius: 5)
[02:05:39 -28716.424496] SLOW spr round 9 (radius: 10)
[02:06:30 -28716.424496] SLOW spr round 10 (radius: 15)
[02:07:34 -28716.424496] SLOW spr round 11 (radius: 20)
[02:08:33] [worker #1] ML tree search #12, logLikelihood: -28708.470205
[02:09:24 -28716.424496] SLOW spr round 12 (radius: 25)
[02:11:32 -28716.424496] Model parameter optimization (eps = 0.100000)

[02:11:35] [worker #0] ML tree search #7, logLikelihood: -28716.371805

[02:11:35 -85177.008949] Initial branch length optimization
[02:11:36 -73719.216817] Model parameter optimization (eps = 10.000000)
[02:11:53 -73326.850249] AUTODETECT spr round 1 (radius: 5)
[02:12:32 -52096.102685] AUTODETECT spr round 2 (radius: 10)
[02:13:18 -38170.426902] AUTODETECT spr round 3 (radius: 15)
[02:14:10 -32933.401406] AUTODETECT spr round 4 (radius: 20)
[02:15:17 -31766.497576] AUTODETECT spr round 5 (radius: 25)
[02:16:45 -31629.634386] SPR radius for FAST iterations: 25 (autodetect)
[02:16:45 -31629.634386] Model parameter optimization (eps = 3.000000)
[02:16:59 -31509.584085] FAST spr round 1 (radius: 25)
[02:17:46 -28938.656078] FAST spr round 2 (radius: 25)
[02:18:24 -28773.265201] FAST spr round 3 (radius: 25)
[02:18:58 -28757.511826] FAST spr round 4 (radius: 25)
[02:19:29 -28757.463502] Model parameter optimization (eps = 1.000000)
[02:19:37 -28751.917131] SLOW spr round 1 (radius: 5)
[02:20:21 -28740.419395] SLOW spr round 2 (radius: 5)
[02:21:05 -28730.879737] SLOW spr round 3 (radius: 5)
[02:21:49 -28728.234875] SLOW spr round 4 (radius: 5)
[02:22:30 -28728.118588] SLOW spr round 5 (radius: 5)
[02:23:11 -28728.118533] SLOW spr round 6 (radius: 10)
[02:23:53 -28726.503241] SLOW spr round 7 (radius: 5)
[02:24:46 -28726.488904] SLOW spr round 8 (radius: 10)
[02:25:32 -28721.999587] SLOW spr round 9 (radius: 5)
[02:26:24 -28721.998685] SLOW spr round 10 (radius: 10)
[02:27:09 -28721.998460] SLOW spr round 11 (radius: 15)
[02:27:58] [worker #1] ML tree search #14, logLikelihood: -28751.217321
[02:28:11 -28721.268556] SLOW spr round 12 (radius: 5)
[02:29:09 -28719.632136] SLOW spr round 13 (radius: 5)
[02:29:58 -28715.952676] SLOW spr round 14 (radius: 5)
[02:30:43 -28715.867602] SLOW spr round 15 (radius: 10)
[02:31:25 -28715.867538] SLOW spr round 16 (radius: 15)
[02:32:27 -28715.867537] SLOW spr round 17 (radius: 20)
[02:34:01 -28715.249229] SLOW spr round 18 (radius: 5)
[02:34:58 -28715.249228] SLOW spr round 19 (radius: 10)
[02:35:48 -28715.249228] SLOW spr round 20 (radius: 15)
[02:36:49 -28715.249228] SLOW spr round 21 (radius: 20)
[02:38:25 -28715.249228] SLOW spr round 22 (radius: 25)
[02:40:16 -28715.249228] Model parameter optimization (eps = 0.100000)

[02:40:19] [worker #0] ML tree search #9, logLikelihood: -28715.189809

[02:40:19 -85341.511709] Initial branch length optimization
[02:40:21 -74093.628864] Model parameter optimization (eps = 10.000000)
[02:40:35 -73746.066759] AUTODETECT spr round 1 (radius: 5)
[02:41:15 -52407.429814] AUTODETECT spr round 2 (radius: 10)
[02:42:00 -38776.772414] AUTODETECT spr round 3 (radius: 15)
[02:42:52 -33827.862379] AUTODETECT spr round 4 (radius: 20)
[02:43:57 -32390.965359] AUTODETECT spr round 5 (radius: 25)
[02:45:17 -32361.457122] SPR radius for FAST iterations: 25 (autodetect)
[02:45:17 -32361.457122] Model parameter optimization (eps = 3.000000)
[02:45:28 -32252.269743] FAST spr round 1 (radius: 25)
[02:46:15 -29041.765967] FAST spr round 2 (radius: 25)
[02:46:53 -28825.207856] FAST spr round 3 (radius: 25)
[02:47:29 -28773.526026] FAST spr round 4 (radius: 25)
[02:48:03 -28761.741016] FAST spr round 5 (radius: 25)
[02:48:34 -28760.695858] FAST spr round 6 (radius: 25)
[02:49:05 -28760.695546] Model parameter optimization (eps = 1.000000)
[02:49:11 -28759.324213] SLOW spr round 1 (radius: 5)
[02:49:55 -28757.393394] SLOW spr round 2 (radius: 5)
[02:50:39 -28757.392133] SLOW spr round 3 (radius: 10)
[02:51:21 -28757.189986] SLOW spr round 4 (radius: 5)
[02:51:25] [worker #1] ML tree search #16, logLikelihood: -28758.467162
[02:52:16 -28755.525681] SLOW spr round 5 (radius: 5)
[02:53:03 -28755.525658] SLOW spr round 6 (radius: 10)
[02:53:47 -28755.525657] SLOW spr round 7 (radius: 15)
[02:54:51 -28755.375291] SLOW spr round 8 (radius: 5)
[02:55:49 -28755.361003] SLOW spr round 9 (radius: 10)
[02:56:37 -28755.360750] SLOW spr round 10 (radius: 15)
[02:57:40 -28755.360695] SLOW spr round 11 (radius: 20)
[02:59:19 -28755.360630] SLOW spr round 12 (radius: 25)
[03:01:21 -28755.360365] Model parameter optimization (eps = 0.100000)

[03:01:35] [worker #0] ML tree search #11, logLikelihood: -28740.860408

[03:01:35 -84653.530279] Initial branch length optimization
[03:01:36 -73729.372797] Model parameter optimization (eps = 10.000000)
[03:02:03 -73356.921075] AUTODETECT spr round 1 (radius: 5)
[03:02:43 -52873.716398] AUTODETECT spr round 2 (radius: 10)
[03:03:27 -39987.938179] AUTODETECT spr round 3 (radius: 15)
[03:04:20 -34331.020998] AUTODETECT spr round 4 (radius: 20)
[03:05:27 -32472.635504] AUTODETECT spr round 5 (radius: 25)
[03:06:54 -32124.157606] SPR radius for FAST iterations: 25 (autodetect)
[03:06:54 -32124.157606] Model parameter optimization (eps = 3.000000)
[03:07:06 -32044.941480] FAST spr round 1 (radius: 25)
[03:07:54 -28975.638640] FAST spr round 2 (radius: 25)
[03:08:34 -28795.947298] FAST spr round 3 (radius: 25)
[03:09:11 -28774.090268] FAST spr round 4 (radius: 25)
[03:09:45 -28771.021558] FAST spr round 5 (radius: 25)
[03:10:16 -28770.933194] Model parameter optimization (eps = 1.000000)
[03:10:24 -28768.267956] SLOW spr round 1 (radius: 5)
[03:11:10 -28759.901949] SLOW spr round 2 (radius: 5)
[03:11:54 -28759.301340] SLOW spr round 3 (radius: 5)
[03:12:36 -28759.300558] SLOW spr round 4 (radius: 10)
[03:13:19 -28756.076606] SLOW spr round 5 (radius: 5)
[03:14:14 -28755.020751] SLOW spr round 6 (radius: 5)
[03:15:02 -28755.015588] SLOW spr round 7 (radius: 10)
[03:15:08] [worker #1] ML tree search #18, logLikelihood: -28739.537214
[03:15:45 -28755.014847] SLOW spr round 8 (radius: 15)
[03:16:56 -28753.936352] SLOW spr round 9 (radius: 5)
[03:17:53 -28752.593061] SLOW spr round 10 (radius: 5)
[03:18:44 -28752.074714] SLOW spr round 11 (radius: 5)
[03:19:31 -28749.945868] SLOW spr round 12 (radius: 5)
[03:20:14 -28749.945397] SLOW spr round 13 (radius: 10)
[03:20:56 -28749.945360] SLOW spr round 14 (radius: 15)
[03:22:08 -28749.945351] SLOW spr round 15 (radius: 20)
[03:24:00 -28749.945347] SLOW spr round 16 (radius: 25)
[03:26:16 -28749.945345] Model parameter optimization (eps = 0.100000)

[03:26:22] [worker #0] ML tree search #13, logLikelihood: -28749.274691

[03:26:23 -84848.188293] Initial branch length optimization
[03:26:24 -73488.819181] Model parameter optimization (eps = 10.000000)
[03:26:41 -73052.902247] AUTODETECT spr round 1 (radius: 5)
[03:27:20 -51887.750449] AUTODETECT spr round 2 (radius: 10)
[03:28:04 -39634.783806] AUTODETECT spr round 3 (radius: 15)
[03:28:54 -33487.669195] AUTODETECT spr round 4 (radius: 20)
[03:29:51 -32671.962113] AUTODETECT spr round 5 (radius: 25)
[03:31:00 -32472.567302] SPR radius for FAST iterations: 25 (autodetect)
[03:31:00 -32472.567302] Model parameter optimization (eps = 3.000000)
[03:31:17 -32321.416689] FAST spr round 1 (radius: 25)
[03:32:02 -29290.594844] FAST spr round 2 (radius: 25)
[03:32:42 -28927.577589] FAST spr round 3 (radius: 25)
[03:33:19 -28735.899121] FAST spr round 4 (radius: 25)
[03:33:54 -28715.740181] FAST spr round 5 (radius: 25)
[03:34:25 -28714.977845] FAST spr round 6 (radius: 25)
[03:34:55 -28714.977820] Model parameter optimization (eps = 1.000000)
[03:35:01 -28712.613717] SLOW spr round 1 (radius: 5)
[03:35:44 -28706.839484] SLOW spr round 2 (radius: 5)
[03:36:26 -28706.260060] SLOW spr round 3 (radius: 5)
[03:37:07 -28706.259557] SLOW spr round 4 (radius: 10)
[03:37:49 -28706.259012] SLOW spr round 5 (radius: 15)
[03:39:01 -28705.878211] SLOW spr round 6 (radius: 5)
[03:39:58 -28705.878196] SLOW spr round 7 (radius: 10)
[03:40:48 -28705.878196] SLOW spr round 8 (radius: 15)
[03:41:56 -28705.878196] SLOW spr round 9 (radius: 20)
[03:44:03 -28705.878196] SLOW spr round 10 (radius: 25)
[03:44:57] [worker #1] ML tree search #20, logLikelihood: -28764.785393
[03:46:19 -28705.878196] Model parameter optimization (eps = 0.100000)

[03:46:23] [worker #0] ML tree search #15, logLikelihood: -28705.852128

[03:46:23 -84909.203503] Initial branch length optimization
[03:46:24 -73971.951835] Model parameter optimization (eps = 10.000000)
[03:46:37 -73521.354707] AUTODETECT spr round 1 (radius: 5)
[03:47:16 -52503.721369] AUTODETECT spr round 2 (radius: 10)
[03:48:00 -37983.496045] AUTODETECT spr round 3 (radius: 15)
[03:48:49 -33482.530324] AUTODETECT spr round 4 (radius: 20)
[03:49:58 -32367.143272] AUTODETECT spr round 5 (radius: 25)
[03:51:23 -32348.581714] SPR radius for FAST iterations: 25 (autodetect)
[03:51:23 -32348.581714] Model parameter optimization (eps = 3.000000)
[03:51:35 -32263.468330] FAST spr round 1 (radius: 25)
[03:52:21 -29005.665919] FAST spr round 2 (radius: 25)
[03:52:58 -28791.297171] FAST spr round 3 (radius: 25)
[03:53:35 -28763.593417] FAST spr round 4 (radius: 25)
[03:54:05 -28763.593368] Model parameter optimization (eps = 1.000000)
[03:54:11 -28762.017147] SLOW spr round 1 (radius: 5)
[03:54:56 -28750.337403] SLOW spr round 2 (radius: 5)
[03:55:40 -28740.212423] SLOW spr round 3 (radius: 5)
[03:56:24 -28735.263246] SLOW spr round 4 (radius: 5)
[03:57:05 -28732.965102] SLOW spr round 5 (radius: 5)
[03:57:46 -28732.180910] SLOW spr round 6 (radius: 5)
[03:58:27 -28732.180886] SLOW spr round 7 (radius: 10)
[03:59:07 -28731.757895] SLOW spr round 8 (radius: 5)
[04:00:00 -28731.392028] SLOW spr round 9 (radius: 5)
[04:00:47 -28731.391755] SLOW spr round 10 (radius: 10)
[04:01:30 -28731.391747] SLOW spr round 11 (radius: 15)
[04:02:34 -28731.391747] SLOW spr round 12 (radius: 20)
[04:04:14 -28731.391747] SLOW spr round 13 (radius: 25)
[04:06:18 -28731.391747] Model parameter optimization (eps = 0.100000)

[04:06:22] [worker #0] ML tree search #17, logLikelihood: -28731.300164

[04:06:22 -84636.957747] Initial branch length optimization
[04:06:23 -73504.913158] Model parameter optimization (eps = 10.000000)
[04:06:45 -73134.702778] AUTODETECT spr round 1 (radius: 5)
[04:07:24 -52189.067864] AUTODETECT spr round 2 (radius: 10)
[04:08:09 -40550.906027] AUTODETECT spr round 3 (radius: 15)
[04:09:04 -33384.691687] AUTODETECT spr round 4 (radius: 20)
[04:10:09 -32392.196257] AUTODETECT spr round 5 (radius: 25)
[04:11:24 -32238.352934] SPR radius for FAST iterations: 25 (autodetect)
[04:11:24 -32238.352934] Model parameter optimization (eps = 3.000000)
[04:11:40 -32165.457066] FAST spr round 1 (radius: 25)
[04:12:25 -28959.269183] FAST spr round 2 (radius: 25)
[04:13:05 -28803.622441] FAST spr round 3 (radius: 25)
[04:13:40 -28784.050204] FAST spr round 4 (radius: 25)
[04:14:12 -28779.711183] FAST spr round 5 (radius: 25)
[04:14:43 -28779.025993] FAST spr round 6 (radius: 25)
[04:15:13 -28778.281599] FAST spr round 7 (radius: 25)
[04:15:44 -28778.281597] Model parameter optimization (eps = 1.000000)
[04:15:52 -28775.042367] SLOW spr round 1 (radius: 5)
[04:16:36 -28765.289188] SLOW spr round 2 (radius: 5)
[04:17:19 -28760.366197] SLOW spr round 3 (radius: 5)
[04:18:02 -28756.632673] SLOW spr round 4 (radius: 5)
[04:18:43 -28756.631835] SLOW spr round 5 (radius: 10)
[04:19:26 -28754.906203] SLOW spr round 6 (radius: 5)
[04:20:19 -28754.379083] SLOW spr round 7 (radius: 5)
[04:21:06 -28753.567357] SLOW spr round 8 (radius: 5)
[04:21:50 -28753.567214] SLOW spr round 9 (radius: 10)
[04:22:32 -28752.869572] SLOW spr round 10 (radius: 5)
[04:23:26 -28744.809152] SLOW spr round 11 (radius: 5)
[04:24:14 -28744.087013] SLOW spr round 12 (radius: 5)
[04:24:57 -28744.086943] SLOW spr round 13 (radius: 10)
[04:25:40 -28744.086943] SLOW spr round 14 (radius: 15)
[04:26:49 -28741.120689] SLOW spr round 15 (radius: 5)
[04:27:44 -28741.120630] SLOW spr round 16 (radius: 10)
[04:28:33 -28741.120629] SLOW spr round 17 (radius: 15)
[04:29:39 -28741.120629] SLOW spr round 18 (radius: 20)
[04:31:32 -28741.120388] SLOW spr round 19 (radius: 25)
[04:33:41 -28741.120388] Model parameter optimization (eps = 0.100000)

[04:33:48] [worker #0] ML tree search #19, logLikelihood: -28741.008900


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.082897,0.175640) (0.169749,0.289720) (0.389070,0.860601) (0.358284,1.678628) 
   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: -28699.551115

AIC score: 59733.102230 / AICc score: 2785845.102230 / BIC score: 62583.676247
Free parameters (model + branch lengths): 1167

WARNING: Number of free parameters (K=1167) is larger than alignment size (n=85).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q6BAA4/3_mltree/Q6BAA4.raxml.log

Analysis started: 12-Jul-2021 21:33:33 / finished: 13-Jul-2021 02:07:22

Elapsed time: 16428.661 seconds