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 14-Jul-2021 17:22:20 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/2_msa/P01737_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/3_mltree/P01737 --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/P01737/2_msa/P01737_trimmed_msa.fasta
[00:00:00] Loaded alignment with 845 taxa and 77 sites

WARNING: Sequences tr_A0A075B621_A0A075B621_MOUSE_10090 and tr_A0A075B6D4_A0A075B6D4_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_A0A075B658_A0A075B658_MOUSE_10090 and tr_Q5R1A4_Q5R1A4_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_A0A075B6A6_A0A075B6A6_MOUSE_10090 and tr_A0A075B6B0_A0A075B6B0_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_A0A075B6D3_A0A075B6D3_MOUSE_10090 and tr_Q5R1E6_Q5R1E6_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_G1PZU6_G1PZU6_MYOLU_59463 and tr_G1Q8A4_G1Q8A4_MYOLU_59463 are exactly identical!
WARNING: Sequences tr_G1Q0V4_G1Q0V4_MYOLU_59463 and tr_G1QB00_G1QB00_MYOLU_59463 are exactly identical!
WARNING: Sequences tr_A0A2I2YFZ3_A0A2I2YFZ3_GORGO_9595 and tr_H2NKP1_H2NKP1_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2YFZ3_A0A2I2YFZ3_GORGO_9595 and sp_A0JD32_TV382_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2YFZ3_A0A2I2YFZ3_GORGO_9595 and tr_A0A2R9AUJ9_A0A2R9AUJ9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2YGJ4_A0A2I2YGJ4_GORGO_9595 and tr_A0A2I3SRP5_A0A2I3SRP5_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2YGJ4_A0A2I2YGJ4_GORGO_9595 and sp_P04437_TVA29_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2ZDW6_A0A2I2ZDW6_GORGO_9595 and tr_A0A2I3SMQ1_A0A2I3SMQ1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2ZDW6_A0A2I2ZDW6_GORGO_9595 and tr_A0A2R9AQP2_A0A2R9AQP2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZFF7_A0A2I2ZFF7_GORGO_9595 and tr_H2NKM0_H2NKM0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2ZU28_A0A2I2ZU28_GORGO_9595 and tr_H2NKP0_H2NKP0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2ZU28_A0A2I2ZU28_GORGO_9595 and tr_A0A2I3SXH4_A0A2I3SXH4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3S4Q7_G3S4Q7_GORGO_9595 and tr_A0A2I3RK86_A0A2I3RK86_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3S4Q7_G3S4Q7_GORGO_9595 and tr_A0A2R9AVN9_A0A2R9AVN9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RHR8_A0A2I3RHR8_PANTR_9598 and tr_A0A2R9AS68_A0A2R9AS68_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RMN8_A0A2I3RMN8_PANTR_9598 and tr_A0A2R9ANY6_A0A2R9ANY6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3S9T6_A0A2I3S9T6_PANTR_9598 and sp_A0A0B4J249_TVA5_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3S9T6_A0A2I3S9T6_PANTR_9598 and tr_A0A2R8ZVD9_A0A2R8ZVD9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SSM1_A0A2I3SSM1_PANTR_9598 and tr_A0A2R8ZKS1_A0A2R8ZKS1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TAG7_A0A2I3TAG7_PANTR_9598 and tr_A0A2R8ZBR7_A0A2R8ZBR7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TQV9_A0A2I3TQV9_PANTR_9598 and tr_A0A2R9AWE8_A0A2R9AWE8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TQZ1_A0A2I3TQZ1_PANTR_9598 and tr_A0A2I3TXF2_A0A2I3TXF2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_W5NSB4_W5NSB4_SHEEP_9940 and tr_W5NXD2_W5NXD2_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_W5NSB4_W5NSB4_SHEEP_9940 and tr_W5QE47_W5QE47_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_A0A0G2JWX3_A0A0G2JWX3_RAT_10116 and tr_D4AEM3_D4AEM3_RAT_10116 are exactly identical!
WARNING: Sequences tr_A0A0G2K4E4_A0A0G2K4E4_RAT_10116 and tr_M0R903_M0R903_RAT_10116 are exactly identical!
WARNING: Sequences tr_M0R3W8_M0R3W8_RAT_10116 and tr_M0R4C9_M0R4C9_RAT_10116 are exactly identical!
WARNING: Sequences tr_H0XMD4_H0XMD4_OTOGA_30611 and tr_H0XQZ5_H0XQZ5_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_A0A0A6YYK1_TVA81_HUMAN_9606 and tr_A0A2R8ZF68_A0A2R8ZF68_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5Q636_A0A1D5Q636_MACMU_9544 and tr_G7P9P6_G7P9P6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QNM8_A0A1D5QNM8_MACMU_9544 and tr_G7P9Q6_G7P9Q6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QNM8_A0A1D5QNM8_MACMU_9544 and tr_A0A2K6AWU1_A0A2K6AWU1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5R6S8_A0A1D5R6S8_MACMU_9544 and tr_G7P9Q9_G7P9Q9_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5R8A9_A0A1D5R8A9_MACMU_9544 and tr_G7P9R8_G7P9R8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5RE63_A0A1D5RE63_MACMU_9544 and tr_G8F6J3_G8F6J3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7CDH6_F7CDH6_MACMU_9544 and tr_A0A2I3M831_A0A2I3M831_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7CDH6_F7CDH6_MACMU_9544 and tr_A0A0D9RV31_A0A0D9RV31_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7CDH6_F7CDH6_MACMU_9544 and tr_A0A2K6CYU6_A0A2K6CYU6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A287AP75_A0A287AP75_PIG_9823 and tr_A0A287AUJ4_A0A287AUJ4_PIG_9823 are exactly identical!
WARNING: Sequences tr_A0A287BPG4_A0A287BPG4_PIG_9823 and tr_A0A287BQ00_A0A287BQ00_PIG_9823 are exactly identical!
WARNING: Sequences tr_G7P9R2_G7P9R2_MACFA_9541 and tr_A0A0D9RV43_A0A0D9RV43_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G7P9R7_G7P9R7_MACFA_9541 and tr_A0A2K6CZI6_A0A2K6CZI6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7P9R7_G7P9R7_MACFA_9541 and tr_A0A2K5XU33_A0A2K5XU33_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7P9S2_G7P9S2_MACFA_9541 and tr_A0A0D9RV10_A0A0D9RV10_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G7P9S2_G7P9S2_MACFA_9541 and tr_A0A2K6B4D8_A0A2K6B4D8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7P9T4_G7P9T4_MACFA_9541 and tr_A0A096NRD1_A0A096NRD1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7P9T4_G7P9T4_MACFA_9541 and tr_A0A2K5L051_A0A2K5L051_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PN24_G7PN24_MACFA_9541 and tr_A0A096MV46_A0A096MV46_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7PN24_G7PN24_MACFA_9541 and tr_A0A2K6ALT7_A0A2K6ALT7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3M9T0_A0A2I3M9T0_PAPAN_9555 and tr_A0A2K5L477_A0A2K5L477_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3MSY5_A0A2I3MSY5_PAPAN_9555 and tr_A0A2K5XRG7_A0A2K5XRG7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9RV29_A0A0D9RV29_CHLSB_60711 and tr_A0A0D9RV50_A0A0D9RV50_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A0D9RV56_A0A0D9RV56_CHLSB_60711 and tr_A0A2K5XHT2_A0A2K5XHT2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5KW35_A0A2K5KW35_CERAT_9531 and tr_A0A2K5XSV0_A0A2K5XSV0_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 58

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/P01737/3_mltree/P01737.raxml.reduced.phy

Alignment comprises 1 partitions and 77 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 77 / 77
Gaps: 1.05 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/3_mltree/P01737.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 845 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 77 / 6160
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -125159.863642] Initial branch length optimization
[00:00:02 -109257.099087] Model parameter optimization (eps = 10.000000)
[00:00:24 -109006.051307] AUTODETECT spr round 1 (radius: 5)
[00:01:39 -79289.839955] AUTODETECT spr round 2 (radius: 10)
[00:02:59 -59852.579469] AUTODETECT spr round 3 (radius: 15)
[00:04:38 -48015.175623] AUTODETECT spr round 4 (radius: 20)
[00:06:27 -45322.605712] AUTODETECT spr round 5 (radius: 25)
[00:08:20 -45179.832898] SPR radius for FAST iterations: 25 (autodetect)
[00:08:20 -45179.832898] Model parameter optimization (eps = 3.000000)
[00:08:37 -45088.267242] FAST spr round 1 (radius: 25)
[00:09:58 -38983.239487] FAST spr round 2 (radius: 25)
[00:11:07 -38553.432007] FAST spr round 3 (radius: 25)
[00:12:11 -38527.559351] FAST spr round 4 (radius: 25)
[00:13:10 -38523.591541] FAST spr round 5 (radius: 25)
[00:14:08 -38523.591148] Model parameter optimization (eps = 1.000000)
[00:14:14 -38522.349353] SLOW spr round 1 (radius: 5)
[00:15:31 -38507.428860] SLOW spr round 2 (radius: 5)
[00:16:47 -38505.218088] SLOW spr round 3 (radius: 5)
[00:17:59 -38505.217715] SLOW spr round 4 (radius: 10)
[00:19:14 -38504.692448] SLOW spr round 5 (radius: 5)
[00:20:44 -38504.692448] SLOW spr round 6 (radius: 10)
[00:22:05 -38504.527802] SLOW spr round 7 (radius: 5)
[00:23:33 -38497.925691] SLOW spr round 8 (radius: 5)
[00:24:53 -38497.151649] SLOW spr round 9 (radius: 5)
[00:26:07 -38497.151647] SLOW spr round 10 (radius: 10)
[00:27:21 -38497.024920] SLOW spr round 11 (radius: 5)
[00:28:53 -38495.060044] SLOW spr round 12 (radius: 5)
[00:30:20 -38495.060029] SLOW spr round 13 (radius: 10)
[00:31:43 -38495.060029] SLOW spr round 14 (radius: 15)
[00:33:45 -38494.754410] SLOW spr round 15 (radius: 5)
[00:34:05] [worker #1] ML tree search #2, logLikelihood: -38501.116176
[00:35:19 -38494.753878] SLOW spr round 16 (radius: 10)
[00:36:42 -38494.753846] SLOW spr round 17 (radius: 15)
[00:38:36 -38494.753844] SLOW spr round 18 (radius: 20)
[00:41:38 -38494.753844] SLOW spr round 19 (radius: 25)
[00:45:15 -38494.753844] Model parameter optimization (eps = 0.100000)

[00:45:18] [worker #0] ML tree search #1, logLikelihood: -38494.721215

[00:45:18 -125142.661934] Initial branch length optimization
[00:45:20 -109227.936326] Model parameter optimization (eps = 10.000000)
[00:45:44 -109038.787908] AUTODETECT spr round 1 (radius: 5)
[00:47:00 -79368.379119] AUTODETECT spr round 2 (radius: 10)
[00:48:21 -58642.110035] AUTODETECT spr round 3 (radius: 15)
[00:49:54 -47879.405069] AUTODETECT spr round 4 (radius: 20)
[00:51:36 -45753.733131] AUTODETECT spr round 5 (radius: 25)
[00:54:01 -44229.027437] SPR radius for FAST iterations: 25 (autodetect)
[00:54:01 -44229.027437] Model parameter optimization (eps = 3.000000)
[00:54:16 -44165.816686] FAST spr round 1 (radius: 25)
[00:55:37 -38904.782656] FAST spr round 2 (radius: 25)
[00:56:46 -38610.132519] FAST spr round 3 (radius: 25)
[00:57:51 -38571.524290] FAST spr round 4 (radius: 25)
[00:58:55 -38554.689866] FAST spr round 5 (radius: 25)
[00:59:59 -38550.272422] FAST spr round 6 (radius: 25)
[01:00:57 -38550.272409] Model parameter optimization (eps = 1.000000)
[01:01:07 -38547.060730] SLOW spr round 1 (radius: 5)
[01:02:25 -38535.403716] SLOW spr round 2 (radius: 5)
[01:03:38 -38535.403607] SLOW spr round 3 (radius: 10)
[01:04:54 -38534.877807] SLOW spr round 4 (radius: 5)
[01:06:24 -38534.877801] SLOW spr round 5 (radius: 10)
[01:07:46 -38531.538939] SLOW spr round 6 (radius: 5)
[01:09:17 -38525.372449] SLOW spr round 7 (radius: 5)
[01:10:37 -38524.306250] SLOW spr round 8 (radius: 5)
[01:11:52 -38523.779691] SLOW spr round 9 (radius: 5)
[01:13:06 -38521.851675] SLOW spr round 10 (radius: 5)
[01:14:18 -38521.851321] SLOW spr round 11 (radius: 10)
[01:15:33 -38521.851318] SLOW spr round 12 (radius: 15)
[01:17:39 -38519.026275] SLOW spr round 13 (radius: 5)
[01:19:12 -38519.026262] SLOW spr round 14 (radius: 10)
[01:20:36 -38519.026262] SLOW spr round 15 (radius: 15)
[01:22:34 -38519.026262] SLOW spr round 16 (radius: 20)
[01:24:43] [worker #1] ML tree search #4, logLikelihood: -38486.300435
[01:25:48 -38519.026262] SLOW spr round 17 (radius: 25)
[01:30:17 -38519.026262] Model parameter optimization (eps = 0.100000)

[01:30:21] [worker #0] ML tree search #3, logLikelihood: -38519.018637

[01:30:21 -124791.466808] Initial branch length optimization
[01:30:23 -109109.410786] Model parameter optimization (eps = 10.000000)
[01:30:45 -108901.393280] AUTODETECT spr round 1 (radius: 5)
[01:32:11 -79661.801716] AUTODETECT spr round 2 (radius: 10)
[01:33:41 -58912.119830] AUTODETECT spr round 3 (radius: 15)
[01:35:14 -49593.025988] AUTODETECT spr round 4 (radius: 20)
[01:36:55 -47152.804246] AUTODETECT spr round 5 (radius: 25)
[01:39:07 -46134.529670] SPR radius for FAST iterations: 25 (autodetect)
[01:39:07 -46134.529670] Model parameter optimization (eps = 3.000000)
[01:39:17 -46100.608401] FAST spr round 1 (radius: 25)
[01:40:43 -38982.117944] FAST spr round 2 (radius: 25)
[01:41:53 -38586.133901] FAST spr round 3 (radius: 25)
[01:42:58 -38557.945038] FAST spr round 4 (radius: 25)
[01:43:59 -38551.783905] FAST spr round 5 (radius: 25)
[01:44:57 -38551.782983] Model parameter optimization (eps = 1.000000)
[01:45:05 -38547.335070] SLOW spr round 1 (radius: 5)
[01:46:23 -38534.652131] SLOW spr round 2 (radius: 5)
[01:47:40 -38530.551712] SLOW spr round 3 (radius: 5)
[01:48:54 -38528.608864] SLOW spr round 4 (radius: 5)
[01:50:05 -38528.608749] SLOW spr round 5 (radius: 10)
[01:51:21 -38526.016907] SLOW spr round 6 (radius: 5)
[01:52:55 -38521.484688] SLOW spr round 7 (radius: 5)
[01:54:17 -38517.892496] SLOW spr round 8 (radius: 5)
[01:55:31 -38517.892165] SLOW spr round 9 (radius: 10)
[01:56:47 -38517.353338] SLOW spr round 10 (radius: 5)
[01:58:17 -38517.353336] SLOW spr round 11 (radius: 10)
[01:59:38 -38517.022615] SLOW spr round 12 (radius: 5)
[02:00:33] [worker #1] ML tree search #6, logLikelihood: -38496.068660
[02:01:08 -38515.830702] SLOW spr round 13 (radius: 5)
[02:02:27 -38515.830700] SLOW spr round 14 (radius: 10)
[02:03:43 -38515.830700] SLOW spr round 15 (radius: 15)
[02:05:46 -38515.830700] SLOW spr round 16 (radius: 20)
[02:08:46 -38515.830700] SLOW spr round 17 (radius: 25)
[02:12:21 -38515.830700] Model parameter optimization (eps = 0.100000)

[02:12:26] [worker #0] ML tree search #5, logLikelihood: -38515.815762

[02:12:26 -125298.485218] Initial branch length optimization
[02:12:28 -109081.298352] Model parameter optimization (eps = 10.000000)
[02:12:54 -108785.619397] AUTODETECT spr round 1 (radius: 5)
[02:14:08 -78825.338130] AUTODETECT spr round 2 (radius: 10)
[02:15:29 -55380.622086] AUTODETECT spr round 3 (radius: 15)
[02:16:59 -49776.133135] AUTODETECT spr round 4 (radius: 20)
[02:18:37 -46355.798780] AUTODETECT spr round 5 (radius: 25)
[02:20:20 -45888.193686] SPR radius for FAST iterations: 25 (autodetect)
[02:20:20 -45888.193686] Model parameter optimization (eps = 3.000000)
[02:20:37 -45783.625699] FAST spr round 1 (radius: 25)
[02:21:57 -39458.097475] FAST spr round 2 (radius: 25)
[02:23:06 -39027.057513] FAST spr round 3 (radius: 25)
[02:24:11 -38550.843984] FAST spr round 4 (radius: 25)
[02:25:12 -38521.660402] FAST spr round 5 (radius: 25)
[02:26:09 -38520.975033] FAST spr round 6 (radius: 25)
[02:27:06 -38520.975008] Model parameter optimization (eps = 1.000000)
[02:27:14 -38519.122863] SLOW spr round 1 (radius: 5)
[02:28:32 -38503.387847] SLOW spr round 2 (radius: 5)
[02:29:46 -38499.022919] SLOW spr round 3 (radius: 5)
[02:30:57 -38499.022537] SLOW spr round 4 (radius: 10)
[02:32:12 -38498.294519] SLOW spr round 5 (radius: 5)
[02:33:42 -38498.294464] SLOW spr round 6 (radius: 10)
[02:35:03 -38497.756536] SLOW spr round 7 (radius: 5)
[02:36:33 -38493.120822] SLOW spr round 8 (radius: 5)
[02:37:52 -38492.942530] SLOW spr round 9 (radius: 5)
[02:39:07 -38492.942530] SLOW spr round 10 (radius: 10)
[02:40:22 -38492.411127] SLOW spr round 11 (radius: 5)
[02:41:52 -38492.411127] SLOW spr round 12 (radius: 10)
[02:42:39] [worker #1] ML tree search #8, logLikelihood: -38513.510837
[02:43:12 -38492.295829] SLOW spr round 13 (radius: 5)
[02:44:42 -38487.284800] SLOW spr round 14 (radius: 5)
[02:46:02 -38485.910305] SLOW spr round 15 (radius: 5)
[02:47:17 -38485.866390] SLOW spr round 16 (radius: 10)
[02:48:31 -38485.866220] SLOW spr round 17 (radius: 15)
[02:50:33 -38485.866218] SLOW spr round 18 (radius: 20)
[02:53:31 -38485.866218] SLOW spr round 19 (radius: 25)
[02:57:20 -38485.866218] Model parameter optimization (eps = 0.100000)

[02:57:29] [worker #0] ML tree search #7, logLikelihood: -38485.861677

[02:57:29 -125493.240284] Initial branch length optimization
[02:57:30 -108925.199987] Model parameter optimization (eps = 10.000000)
[02:57:49 -108782.638575] AUTODETECT spr round 1 (radius: 5)
[02:59:04 -79328.746384] AUTODETECT spr round 2 (radius: 10)
[03:00:26 -59502.359761] AUTODETECT spr round 3 (radius: 15)
[03:02:05 -50662.890391] AUTODETECT spr round 4 (radius: 20)
[03:03:49 -45697.860507] AUTODETECT spr round 5 (radius: 25)
[03:06:05 -45414.457456] SPR radius for FAST iterations: 25 (autodetect)
[03:06:05 -45414.457456] Model parameter optimization (eps = 3.000000)
[03:06:17 -45373.456493] FAST spr round 1 (radius: 25)
[03:07:45 -38882.168093] FAST spr round 2 (radius: 25)
[03:08:56 -38539.020279] FAST spr round 3 (radius: 25)
[03:10:00 -38518.934330] FAST spr round 4 (radius: 25)
[03:10:59 -38517.795209] FAST spr round 5 (radius: 25)
[03:11:56 -38517.795138] Model parameter optimization (eps = 1.000000)
[03:12:03 -38515.674771] SLOW spr round 1 (radius: 5)
[03:13:21 -38487.853008] SLOW spr round 2 (radius: 5)
[03:14:37 -38484.881144] SLOW spr round 3 (radius: 5)
[03:15:49 -38484.880657] SLOW spr round 4 (radius: 10)
[03:16:29] [worker #1] ML tree search #10, logLikelihood: -38522.686273
[03:17:04 -38484.349797] SLOW spr round 5 (radius: 5)
[03:18:35 -38484.349352] SLOW spr round 6 (radius: 10)
[03:19:55 -38484.349345] SLOW spr round 7 (radius: 15)
[03:21:48 -38484.349345] SLOW spr round 8 (radius: 20)
[03:24:35 -38481.819776] SLOW spr round 9 (radius: 5)
[03:26:11 -38479.481463] SLOW spr round 10 (radius: 5)
[03:27:34 -38479.481449] SLOW spr round 11 (radius: 10)
[03:28:51 -38479.481449] SLOW spr round 12 (radius: 15)
[03:30:48 -38479.481449] SLOW spr round 13 (radius: 20)
[03:33:33 -38479.481449] SLOW spr round 14 (radius: 25)
[03:37:09 -38479.481449] Model parameter optimization (eps = 0.100000)

[03:37:13] [worker #0] ML tree search #9, logLikelihood: -38479.427156

[03:37:13 -125365.479726] Initial branch length optimization
[03:37:14 -109416.362384] Model parameter optimization (eps = 10.000000)
[03:37:32 -109250.512095] AUTODETECT spr round 1 (radius: 5)
[03:38:47 -79919.409325] AUTODETECT spr round 2 (radius: 10)
[03:40:09 -61649.584249] AUTODETECT spr round 3 (radius: 15)
[03:41:42 -54357.118889] AUTODETECT spr round 4 (radius: 20)
[03:43:37 -46685.625593] AUTODETECT spr round 5 (radius: 25)
[03:45:51 -45918.424283] SPR radius for FAST iterations: 25 (autodetect)
[03:45:51 -45918.424283] Model parameter optimization (eps = 3.000000)
[03:46:03 -45877.077713] FAST spr round 1 (radius: 25)
[03:47:28 -38850.164120] FAST spr round 2 (radius: 25)
[03:48:37 -38576.445835] FAST spr round 3 (radius: 25)
[03:49:42 -38538.521666] FAST spr round 4 (radius: 25)
[03:50:42 -38535.397478] FAST spr round 5 (radius: 25)
[03:51:39 -38535.397374] Model parameter optimization (eps = 1.000000)
[03:51:54 -38531.566456] SLOW spr round 1 (radius: 5)
[03:53:13 -38518.492315] SLOW spr round 2 (radius: 5)
[03:54:29 -38507.280700] SLOW spr round 3 (radius: 5)
[03:55:43 -38500.790541] SLOW spr round 4 (radius: 5)
[03:56:54 -38500.790257] SLOW spr round 5 (radius: 10)
[03:58:09 -38495.067148] SLOW spr round 6 (radius: 5)
[03:59:01] [worker #1] ML tree search #12, logLikelihood: -38484.245710
[03:59:41 -38491.108403] SLOW spr round 7 (radius: 5)
[04:01:02 -38491.107133] SLOW spr round 8 (radius: 10)
[04:02:18 -38490.606627] SLOW spr round 9 (radius: 5)
[04:03:50 -38480.236261] SLOW spr round 10 (radius: 5)
[04:05:10 -38479.888562] SLOW spr round 11 (radius: 5)
[04:06:25 -38479.888471] SLOW spr round 12 (radius: 10)
[04:07:40 -38479.888468] SLOW spr round 13 (radius: 15)
[04:09:44 -38479.888468] SLOW spr round 14 (radius: 20)
[04:12:45 -38479.888468] SLOW spr round 15 (radius: 25)
[04:16:26 -38479.888468] Model parameter optimization (eps = 0.100000)

[04:16:29] [worker #0] ML tree search #11, logLikelihood: -38479.860800

[04:16:29 -124797.251761] Initial branch length optimization
[04:16:31 -109040.700854] Model parameter optimization (eps = 10.000000)
[04:16:48 -108834.635988] AUTODETECT spr round 1 (radius: 5)
[04:18:03 -78692.190503] AUTODETECT spr round 2 (radius: 10)
[04:19:26 -56565.469097] AUTODETECT spr round 3 (radius: 15)
[04:20:58 -48162.662265] AUTODETECT spr round 4 (radius: 20)
[04:22:49 -44570.207904] AUTODETECT spr round 5 (radius: 25)
[04:25:06 -44166.029439] SPR radius for FAST iterations: 25 (autodetect)
[04:25:06 -44166.029439] Model parameter optimization (eps = 3.000000)
[04:25:17 -44141.767542] FAST spr round 1 (radius: 25)
[04:26:40 -38824.855841] FAST spr round 2 (radius: 25)
[04:27:47 -38560.622258] FAST spr round 3 (radius: 25)
[04:28:52 -38540.114141] FAST spr round 4 (radius: 25)
[04:29:51 -38540.112131] Model parameter optimization (eps = 1.000000)
[04:29:57 -38538.491195] SLOW spr round 1 (radius: 5)
[04:31:16 -38526.993122] SLOW spr round 2 (radius: 5)
[04:32:33 -38518.156172] SLOW spr round 3 (radius: 5)
[04:33:47 -38517.656209] SLOW spr round 4 (radius: 5)
[04:35:00 -38517.656162] SLOW spr round 5 (radius: 10)
[04:36:14 -38516.050748] SLOW spr round 6 (radius: 5)
[04:37:45 -38514.596157] SLOW spr round 7 (radius: 5)
[04:39:04 -38514.596155] SLOW spr round 8 (radius: 10)
[04:40:19 -38514.596155] SLOW spr round 9 (radius: 15)
[04:42:13 -38514.596155] SLOW spr round 10 (radius: 20)
[04:44:28] [worker #1] ML tree search #14, logLikelihood: -38487.358209
[04:44:59 -38508.464781] SLOW spr round 11 (radius: 5)
[04:46:33 -38507.973072] SLOW spr round 12 (radius: 5)
[04:47:56 -38507.973051] SLOW spr round 13 (radius: 10)
[04:49:11 -38507.973051] SLOW spr round 14 (radius: 15)
[04:51:04 -38507.973051] SLOW spr round 15 (radius: 20)
[04:53:49 -38507.973051] SLOW spr round 16 (radius: 25)
[04:57:14 -38507.973051] Model parameter optimization (eps = 0.100000)

[04:57:18] [worker #0] ML tree search #13, logLikelihood: -38507.923025

[04:57:18 -125693.231333] Initial branch length optimization
[04:57:20 -109269.301154] Model parameter optimization (eps = 10.000000)
[04:57:49 -109061.046291] AUTODETECT spr round 1 (radius: 5)
[04:59:04 -79188.324092] AUTODETECT spr round 2 (radius: 10)
[05:00:24 -58594.246980] AUTODETECT spr round 3 (radius: 15)
[05:01:56 -48854.291167] AUTODETECT spr round 4 (radius: 20)
[05:03:35 -45667.650946] AUTODETECT spr round 5 (radius: 25)
[05:05:37 -45199.422284] SPR radius for FAST iterations: 25 (autodetect)
[05:05:37 -45199.422284] Model parameter optimization (eps = 3.000000)
[05:05:51 -45112.997592] FAST spr round 1 (radius: 25)
[05:07:17 -38881.301334] FAST spr round 2 (radius: 25)
[05:08:29 -38593.725222] FAST spr round 3 (radius: 25)
[05:09:34 -38566.186791] FAST spr round 4 (radius: 25)
[05:10:34 -38560.259600] FAST spr round 5 (radius: 25)
[05:11:33 -38560.259572] Model parameter optimization (eps = 1.000000)
[05:11:43 -38548.712368] SLOW spr round 1 (radius: 5)
[05:13:03 -38529.937919] SLOW spr round 2 (radius: 5)
[05:14:20 -38518.166537] SLOW spr round 3 (radius: 5)
[05:15:36 -38512.591071] SLOW spr round 4 (radius: 5)
[05:16:49 -38511.361287] SLOW spr round 5 (radius: 5)
[05:18:01 -38509.818749] SLOW spr round 6 (radius: 5)
[05:19:13 -38509.818701] SLOW spr round 7 (radius: 10)
[05:20:27 -38508.241055] SLOW spr round 8 (radius: 5)
[05:21:59 -38503.319501] SLOW spr round 9 (radius: 5)
[05:23:20 -38502.482814] SLOW spr round 10 (radius: 5)
[05:23:29] [worker #1] ML tree search #16, logLikelihood: -38503.906141
[05:24:36 -38502.482531] SLOW spr round 11 (radius: 10)
[05:25:50 -38501.433678] SLOW spr round 12 (radius: 5)
[05:27:21 -38500.883587] SLOW spr round 13 (radius: 5)
[05:28:40 -38500.883587] SLOW spr round 14 (radius: 10)
[05:29:56 -38500.358896] SLOW spr round 15 (radius: 5)
[05:31:26 -38500.358875] SLOW spr round 16 (radius: 10)
[05:32:45 -38499.980152] SLOW spr round 17 (radius: 5)
[05:34:15 -38496.685992] SLOW spr round 18 (radius: 5)
[05:35:34 -38496.673420] SLOW spr round 19 (radius: 10)
[05:36:49 -38496.626153] SLOW spr round 20 (radius: 15)
[05:38:44 -38496.626116] SLOW spr round 21 (radius: 20)
[05:41:23 -38496.626116] SLOW spr round 22 (radius: 25)
[05:44:50 -38496.626116] Model parameter optimization (eps = 0.100000)

[05:44:55] [worker #0] ML tree search #15, logLikelihood: -38496.270178

[05:44:56 -124932.867568] Initial branch length optimization
[05:44:57 -109101.755503] Model parameter optimization (eps = 10.000000)
[05:45:17 -108968.973913] AUTODETECT spr round 1 (radius: 5)
[05:46:32 -79690.736012] AUTODETECT spr round 2 (radius: 10)
[05:47:53 -58018.271567] AUTODETECT spr round 3 (radius: 15)
[05:49:22 -52571.449370] AUTODETECT spr round 4 (radius: 20)
[05:51:10 -47824.945111] AUTODETECT spr round 5 (radius: 25)
[05:53:03 -45672.751628] SPR radius for FAST iterations: 25 (autodetect)
[05:53:03 -45672.751628] Model parameter optimization (eps = 3.000000)
[05:53:18 -45595.264032] FAST spr round 1 (radius: 25)
[05:54:42 -39070.835011] FAST spr round 2 (radius: 25)
[05:55:50 -38596.622923] FAST spr round 3 (radius: 25)
[05:56:54 -38539.326881] FAST spr round 4 (radius: 25)
[05:57:54 -38535.146364] FAST spr round 5 (radius: 25)
[05:58:52 -38535.146362] Model parameter optimization (eps = 1.000000)
[05:58:59 -38532.325524] SLOW spr round 1 (radius: 5)
[06:00:17 -38520.934031] SLOW spr round 2 (radius: 5)
[06:01:33 -38518.291636] SLOW spr round 3 (radius: 5)
[06:02:49 -38516.827475] SLOW spr round 4 (radius: 5)
[06:04:00 -38516.827248] SLOW spr round 5 (radius: 10)
[06:05:15 -38514.781830] SLOW spr round 6 (radius: 5)
[06:06:45 -38514.781827] SLOW spr round 7 (radius: 10)
[06:08:05 -38512.804536] SLOW spr round 8 (radius: 5)
[06:09:35 -38510.604828] SLOW spr round 9 (radius: 5)
[06:10:56 -38504.011957] SLOW spr round 10 (radius: 5)
[06:11:31] [worker #1] ML tree search #18, logLikelihood: -38516.083119
[06:12:13 -38503.490123] SLOW spr round 11 (radius: 5)
[06:13:26 -38503.489968] SLOW spr round 12 (radius: 10)
[06:14:40 -38502.237550] SLOW spr round 13 (radius: 5)
[06:16:10 -38502.237542] SLOW spr round 14 (radius: 10)
[06:17:31 -38502.154352] SLOW spr round 15 (radius: 15)
[06:19:28 -38502.154317] SLOW spr round 16 (radius: 20)
[06:22:20 -38502.154316] SLOW spr round 17 (radius: 25)
[06:26:04 -38496.176260] SLOW spr round 18 (radius: 5)
[06:27:39 -38495.826637] SLOW spr round 19 (radius: 5)
[06:29:05 -38487.295104] SLOW spr round 20 (radius: 5)
[06:30:24 -38485.048079] SLOW spr round 21 (radius: 5)
[06:31:39 -38485.047945] SLOW spr round 22 (radius: 10)
[06:32:54 -38484.771257] SLOW spr round 23 (radius: 5)
[06:34:25 -38482.682824] SLOW spr round 24 (radius: 5)
[06:35:45 -38482.682810] SLOW spr round 25 (radius: 10)
[06:37:01 -38482.682810] SLOW spr round 26 (radius: 15)
[06:39:02 -38482.682810] SLOW spr round 27 (radius: 20)
[06:41:53 -38482.682810] SLOW spr round 28 (radius: 25)
[06:44:38] [worker #1] ML tree search #20, logLikelihood: -38486.601308
[06:45:37 -38482.682810] Model parameter optimization (eps = 0.100000)

[06:45:48] [worker #0] ML tree search #17, logLikelihood: -38482.512892

[06:45:48 -124492.541076] Initial branch length optimization
[06:45:50 -108932.381160] Model parameter optimization (eps = 10.000000)
[06:46:07 -108714.670298] AUTODETECT spr round 1 (radius: 5)
[06:47:21 -78090.595042] AUTODETECT spr round 2 (radius: 10)
[06:48:38 -56871.637608] AUTODETECT spr round 3 (radius: 15)
[06:50:04 -47847.476939] AUTODETECT spr round 4 (radius: 20)
[06:51:46 -46127.550128] AUTODETECT spr round 5 (radius: 25)
[06:53:47 -45375.149872] SPR radius for FAST iterations: 25 (autodetect)
[06:53:47 -45375.149872] Model parameter optimization (eps = 3.000000)
[06:54:02 -45341.040776] FAST spr round 1 (radius: 25)
[06:55:27 -39020.061252] FAST spr round 2 (radius: 25)
[06:56:37 -38575.556848] FAST spr round 3 (radius: 25)
[06:57:40 -38549.504005] FAST spr round 4 (radius: 25)
[06:58:39 -38546.033572] FAST spr round 5 (radius: 25)
[06:59:36 -38546.033443] Model parameter optimization (eps = 1.000000)
[06:59:44 -38540.576003] SLOW spr round 1 (radius: 5)
[07:01:01 -38524.258214] SLOW spr round 2 (radius: 5)
[07:02:16 -38520.054465] SLOW spr round 3 (radius: 5)
[07:03:28 -38520.054077] SLOW spr round 4 (radius: 10)
[07:04:42 -38518.735993] SLOW spr round 5 (radius: 5)
[07:06:10 -38518.735936] SLOW spr round 6 (radius: 10)
[07:07:30 -38518.210553] SLOW spr round 7 (radius: 5)
[07:08:56 -38518.210471] SLOW spr round 8 (radius: 10)
[07:10:14 -38517.980242] SLOW spr round 9 (radius: 5)
[07:11:44 -38513.719902] SLOW spr round 10 (radius: 5)
[07:13:02 -38513.049052] SLOW spr round 11 (radius: 5)
[07:14:15 -38513.049052] SLOW spr round 12 (radius: 10)
[07:15:29 -38513.049052] SLOW spr round 13 (radius: 15)
[07:17:25 -38513.049052] SLOW spr round 14 (radius: 20)
[07:20:01 -38508.415608] SLOW spr round 15 (radius: 5)
[07:21:35 -38507.853189] SLOW spr round 16 (radius: 5)
[07:22:59 -38502.501351] SLOW spr round 17 (radius: 5)
[07:24:14 -38502.456087] SLOW spr round 18 (radius: 10)
[07:25:28 -38502.456072] SLOW spr round 19 (radius: 15)
[07:27:23 -38502.456072] SLOW spr round 20 (radius: 20)
[07:30:00 -38502.456072] SLOW spr round 21 (radius: 25)
[07:33:12 -38502.456072] Model parameter optimization (eps = 0.100000)

[07:33:18] [worker #0] ML tree search #19, logLikelihood: -38502.430214


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.103800,0.210611) (0.217687,0.379169) (0.367357,0.987030) (0.311155,1.712989) 
   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: -38479.427156

AIC score: 80344.854312 / AICc score: 5816228.854312 / BIC score: 84312.916891
Free parameters (model + branch lengths): 1693

WARNING: Number of free parameters (K=1693) is larger than alignment size (n=77).
         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/P01737/3_mltree/P01737.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/3_mltree/P01737.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/3_mltree/P01737.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/P01737/3_mltree/P01737.raxml.log

Analysis started: 14-Jul-2021 17:22:20 / finished: 15-Jul-2021 00:55:38

Elapsed time: 27198.327 seconds