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 07-Jul-2021 15:34:41 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/2_msa/Q9NPI0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/3_mltree/Q9NPI0 --seed 2 --threads 3 --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 (3 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/2_msa/Q9NPI0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 188 taxa and 157 sites

WARNING: Sequences tr_A0A1D5PE71_A0A1D5PE71_CHICK_9031 and tr_A0A226MQK9_A0A226MQK9_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A1D5PE71_A0A1D5PE71_CHICK_9031 and tr_A0A226NV18_A0A226NV18_COLVI_9014 are exactly identical!
WARNING: Sequences tr_H2Q3U1_H2Q3U1_PANTR_9598 and tr_A0A2R8Z879_A0A2R8Z879_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A3B5QLD2_A0A3B5QLD2_XIPMA_8083 and tr_A0A087XZ03_A0A087XZ03_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A3B5R5A4_A0A3B5R5A4_XIPMA_8083 and tr_A0A087XCC0_A0A087XCC0_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A158NXS8_A0A158NXS8_ATTCE_12957 and tr_A0A151I3Z3_A0A151I3Z3_9HYME_520822 are exactly identical!
WARNING: Sequences tr_E5SA88_E5SA88_TRISP_6334 and tr_A0A0V0XAI1_A0A0V0XAI1_9BILA_92179 are exactly identical!
WARNING: Sequences tr_E5SA88_E5SA88_TRISP_6334 and tr_A0A0V1N6T4_A0A0V1N6T4_9BILA_268474 are exactly identical!
WARNING: Sequences tr_E5SA88_E5SA88_TRISP_6334 and tr_A0A0V1I7A9_A0A0V1I7A9_9BILA_268475 are exactly identical!
WARNING: Sequences tr_G7PPY2_G7PPY2_MACFA_9541 and tr_A0A096MVD7_A0A096MVD7_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7PPY2_G7PPY2_MACFA_9541 and tr_A0A0D9R261_A0A0D9R261_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G7PPY2_G7PPY2_MACFA_9541 and tr_A0A2K5N0N7_A0A2K5N0N7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7PPY2_G7PPY2_MACFA_9541 and tr_A0A2K6DQQ3_A0A2K6DQQ3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7PPY2_G7PPY2_MACFA_9541 and tr_A0A2K5YZQ6_A0A2K5YZQ6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0V0SAX1_A0A0V0SAX1_9BILA_6336 and tr_A0A0V0VYG1_A0A0V0VYG1_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V0SAX1_A0A0V0SAX1_9BILA_6336 and tr_A0A0V1LP52_A0A0V1LP52_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V0SAX1_A0A0V0SAX1_9BILA_6336 and tr_A0A0V0UE50_A0A0V0UE50_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A1S3KSX0_A0A1S3KSX0_SALSA_8030 and tr_A0A060X516_A0A060X516_ONCMY_8022 are exactly identical!
WARNING: Duplicate sequences found: 18

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/Q9NPI0/3_mltree/Q9NPI0.raxml.reduced.phy

Alignment comprises 1 partitions and 157 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 157 / 157
Gaps: 7.03 %
Invariant sites: 0.64 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/3_mltree/Q9NPI0.raxml.rba

Parallelization scheme autoconfig: 3 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 188 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 157 / 12560
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -43752.652627] Initial branch length optimization
[00:00:00 -33778.430153] Model parameter optimization (eps = 10.000000)
[00:00:09 -33431.660835] AUTODETECT spr round 1 (radius: 5)
[00:00:16 -26854.422738] AUTODETECT spr round 2 (radius: 10)
[00:00:28 -22199.170275] AUTODETECT spr round 3 (radius: 15)
[00:00:42 -18371.844733] AUTODETECT spr round 4 (radius: 20)
[00:00:56 -18015.307698] AUTODETECT spr round 5 (radius: 25)
[00:01:09 -18015.299174] SPR radius for FAST iterations: 20 (autodetect)
[00:01:09 -18015.299174] Model parameter optimization (eps = 3.000000)
[00:01:16 -17952.162052] FAST spr round 1 (radius: 20)
[00:01:27 -16830.830926] FAST spr round 2 (radius: 20)
[00:01:35 -16662.220270] FAST spr round 3 (radius: 20)
[00:01:44 -16651.664326] FAST spr round 4 (radius: 20)
[00:01:50 -16647.554704] FAST spr round 5 (radius: 20)
[00:01:59 -16640.601401] FAST spr round 6 (radius: 20)
[00:02:06 -16639.475611] FAST spr round 7 (radius: 20)
[00:02:13 -16639.440361] Model parameter optimization (eps = 1.000000)
[00:02:17 -16635.034858] SLOW spr round 1 (radius: 5)
[00:02:31 -16631.478807] SLOW spr round 2 (radius: 5)
[00:02:44 -16630.959235] SLOW spr round 3 (radius: 5)
[00:02:56 -16630.959235] SLOW spr round 4 (radius: 10)
[00:03:09 -16630.959235] SLOW spr round 5 (radius: 15)
[00:03:33 -16630.959235] SLOW spr round 6 (radius: 20)
[00:03:42] [worker #2] ML tree search #3, logLikelihood: -16628.746992
[00:03:47] [worker #1] ML tree search #2, logLikelihood: -16631.996602
[00:03:56 -16630.959235] SLOW spr round 7 (radius: 25)
[00:04:16 -16630.959235] Model parameter optimization (eps = 0.100000)

[00:04:18] [worker #0] ML tree search #1, logLikelihood: -16630.939050

[00:04:18 -44558.475704] Initial branch length optimization
[00:04:19 -33486.328366] Model parameter optimization (eps = 10.000000)
[00:04:27 -33108.653372] AUTODETECT spr round 1 (radius: 5)
[00:04:34 -27247.412713] AUTODETECT spr round 2 (radius: 10)
[00:04:45 -22097.981732] AUTODETECT spr round 3 (radius: 15)
[00:04:58 -19449.947751] AUTODETECT spr round 4 (radius: 20)
[00:05:10 -19069.474051] AUTODETECT spr round 5 (radius: 25)
[00:05:20 -19069.456987] SPR radius for FAST iterations: 20 (autodetect)
[00:05:20 -19069.456987] Model parameter optimization (eps = 3.000000)
[00:05:27 -18999.918424] FAST spr round 1 (radius: 20)
[00:05:38 -16960.696133] FAST spr round 2 (radius: 20)
[00:05:46 -16660.011260] FAST spr round 3 (radius: 20)
[00:05:54 -16642.477785] FAST spr round 4 (radius: 20)
[00:06:00 -16642.252254] FAST spr round 5 (radius: 20)
[00:06:07 -16642.210227] Model parameter optimization (eps = 1.000000)
[00:06:10 -16639.749773] SLOW spr round 1 (radius: 5)
[00:06:25 -16633.280996] SLOW spr round 2 (radius: 5)
[00:06:38 -16633.250003] SLOW spr round 3 (radius: 10)
[00:06:51 -16633.250000] SLOW spr round 4 (radius: 15)
[00:07:14 -16633.250000] SLOW spr round 5 (radius: 20)
[00:07:15] [worker #2] ML tree search #6, logLikelihood: -16632.858906
[00:07:37 -16633.250000] SLOW spr round 6 (radius: 25)
[00:07:58 -16633.250000] Model parameter optimization (eps = 0.100000)

[00:07:59] [worker #0] ML tree search #4, logLikelihood: -16633.225584

[00:07:59 -43400.317444] Initial branch length optimization
[00:08:00 -33534.538405] Model parameter optimization (eps = 10.000000)
[00:08:07 -33197.089551] AUTODETECT spr round 1 (radius: 5)
[00:08:14 -26041.842212] AUTODETECT spr round 2 (radius: 10)
[00:08:25 -21645.638581] AUTODETECT spr round 3 (radius: 15)
[00:08:37 -20798.810867] AUTODETECT spr round 4 (radius: 20)
[00:08:51 -19447.513491] AUTODETECT spr round 5 (radius: 25)
[00:08:56] [worker #1] ML tree search #5, logLikelihood: -16637.001559
[00:09:05 -19369.067166] SPR radius for FAST iterations: 25 (autodetect)
[00:09:05 -19369.067166] Model parameter optimization (eps = 3.000000)
[00:09:10 -19342.007409] FAST spr round 1 (radius: 25)
[00:09:23 -16971.629267] FAST spr round 2 (radius: 25)
[00:09:33 -16887.797331] FAST spr round 3 (radius: 25)
[00:09:41 -16664.572851] FAST spr round 4 (radius: 25)
[00:09:48 -16658.767661] FAST spr round 5 (radius: 25)
[00:09:55 -16658.767135] Model parameter optimization (eps = 1.000000)
[00:10:02 -16648.280502] SLOW spr round 1 (radius: 5)
[00:10:16 -16634.395841] SLOW spr round 2 (radius: 5)
[00:10:30 -16632.616709] SLOW spr round 3 (radius: 5)
[00:10:43 -16632.610470] SLOW spr round 4 (radius: 10)
[00:10:55 -16626.963548] SLOW spr round 5 (radius: 5)
[00:11:14 -16625.080168] SLOW spr round 6 (radius: 5)
[00:11:17] [worker #2] ML tree search #9, logLikelihood: -16627.578394
[00:11:28 -16625.073929] SLOW spr round 7 (radius: 10)
[00:11:42 -16625.073750] SLOW spr round 8 (radius: 15)
[00:12:04 -16625.073750] SLOW spr round 9 (radius: 20)
[00:12:28 -16625.073750] SLOW spr round 10 (radius: 25)
[00:12:38] [worker #1] ML tree search #8, logLikelihood: -16637.376258
[00:12:49 -16625.073750] Model parameter optimization (eps = 0.100000)

[00:12:52] [worker #0] ML tree search #7, logLikelihood: -16624.426531

[00:12:52 -44059.397996] Initial branch length optimization
[00:12:53 -33772.113645] Model parameter optimization (eps = 10.000000)
[00:13:03 -33380.678384] AUTODETECT spr round 1 (radius: 5)
[00:13:10 -27661.464809] AUTODETECT spr round 2 (radius: 10)
[00:13:21 -21412.322341] AUTODETECT spr round 3 (radius: 15)
[00:13:34 -18163.266571] AUTODETECT spr round 4 (radius: 20)
[00:13:49 -18147.850344] AUTODETECT spr round 5 (radius: 25)
[00:14:02 -18032.912814] SPR radius for FAST iterations: 25 (autodetect)
[00:14:02 -18032.912814] Model parameter optimization (eps = 3.000000)
[00:14:07 -17993.349623] FAST spr round 1 (radius: 25)
[00:14:18 -16883.883024] FAST spr round 2 (radius: 25)
[00:14:28 -16667.673157] FAST spr round 3 (radius: 25)
[00:14:37 -16639.102847] FAST spr round 4 (radius: 25)
[00:14:44 -16639.102666] Model parameter optimization (eps = 1.000000)
[00:14:47 -16635.063649] SLOW spr round 1 (radius: 5)
[00:14:58] [worker #2] ML tree search #12, logLikelihood: -16628.593384
[00:15:02 -16629.190157] SLOW spr round 2 (radius: 5)
[00:15:14 -16629.186247] SLOW spr round 3 (radius: 10)
[00:15:27 -16628.880225] SLOW spr round 4 (radius: 5)
[00:15:44 -16628.366491] SLOW spr round 5 (radius: 5)
[00:15:59 -16628.366491] SLOW spr round 6 (radius: 10)
[00:16:13 -16628.366491] SLOW spr round 7 (radius: 15)
[00:16:34 -16628.366491] SLOW spr round 8 (radius: 20)
[00:16:35] [worker #1] ML tree search #11, logLikelihood: -16628.910903
[00:16:57 -16628.366491] SLOW spr round 9 (radius: 25)
[00:17:17 -16628.366491] Model parameter optimization (eps = 0.100000)

[00:17:19] [worker #0] ML tree search #10, logLikelihood: -16628.244826

[00:17:19 -45171.823213] Initial branch length optimization
[00:17:19 -33949.714457] Model parameter optimization (eps = 10.000000)
[00:17:28 -33540.859039] AUTODETECT spr round 1 (radius: 5)
[00:17:36 -28216.661270] AUTODETECT spr round 2 (radius: 10)
[00:17:46 -22377.779576] AUTODETECT spr round 3 (radius: 15)
[00:18:00 -18689.378812] AUTODETECT spr round 4 (radius: 20)
[00:18:14 -18124.981377] AUTODETECT spr round 5 (radius: 25)
[00:18:25 -18123.030710] SPR radius for FAST iterations: 25 (autodetect)
[00:18:25 -18123.030710] Model parameter optimization (eps = 3.000000)
[00:18:31 -18090.297487] FAST spr round 1 (radius: 25)
[00:18:42 -16730.179015] FAST spr round 2 (radius: 25)
[00:18:50] [worker #2] ML tree search #15, logLikelihood: -16627.756677
[00:18:51 -16659.760347] FAST spr round 3 (radius: 25)
[00:18:58 -16656.507430] FAST spr round 4 (radius: 25)
[00:19:04 -16656.507252] Model parameter optimization (eps = 1.000000)
[00:19:11 -16648.817737] SLOW spr round 1 (radius: 5)
[00:19:25 -16636.789864] SLOW spr round 2 (radius: 5)
[00:19:38 -16635.172519] SLOW spr round 3 (radius: 5)
[00:19:51 -16635.166485] SLOW spr round 4 (radius: 10)
[00:20:03 -16629.857811] SLOW spr round 5 (radius: 5)
[00:20:21 -16627.941792] SLOW spr round 6 (radius: 5)
[00:20:36 -16627.939759] SLOW spr round 7 (radius: 10)
[00:20:37] [worker #1] ML tree search #14, logLikelihood: -16630.038262
[00:20:50 -16627.939755] SLOW spr round 8 (radius: 15)
[00:21:11 -16627.939755] SLOW spr round 9 (radius: 20)
[00:21:35 -16627.939755] SLOW spr round 10 (radius: 25)
[00:21:55 -16627.939755] Model parameter optimization (eps = 0.100000)

[00:21:59] [worker #0] ML tree search #13, logLikelihood: -16626.284754

[00:21:59 -44178.436097] Initial branch length optimization
[00:21:59 -33896.103300] Model parameter optimization (eps = 10.000000)
[00:22:07 -33512.126116] AUTODETECT spr round 1 (radius: 5)
[00:22:15 -27311.424122] AUTODETECT spr round 2 (radius: 10)
[00:22:27 -20923.410739] AUTODETECT spr round 3 (radius: 15)
[00:22:40 -18843.256365] AUTODETECT spr round 4 (radius: 20)
[00:22:46] [worker #2] ML tree search #18, logLikelihood: -16632.051659
[00:22:56 -18244.149662] AUTODETECT spr round 5 (radius: 25)
[00:23:09 -17928.355564] SPR radius for FAST iterations: 25 (autodetect)
[00:23:09 -17928.355564] Model parameter optimization (eps = 3.000000)
[00:23:15 -17897.015855] FAST spr round 1 (radius: 25)
[00:23:25 -16767.649771] FAST spr round 2 (radius: 25)
[00:23:33 -16669.141774] FAST spr round 3 (radius: 25)
[00:23:41 -16640.830689] FAST spr round 4 (radius: 25)
[00:23:47 -16639.841136] FAST spr round 5 (radius: 25)
[00:23:53 -16639.841038] Model parameter optimization (eps = 1.000000)
[00:23:58 -16631.121007] SLOW spr round 1 (radius: 5)
[00:24:12 -16626.310199] SLOW spr round 2 (radius: 5)
[00:24:24 -16626.309869] SLOW spr round 3 (radius: 10)
[00:24:36 -16626.309865] SLOW spr round 4 (radius: 15)
[00:24:43] [worker #1] ML tree search #17, logLikelihood: -16627.857163
[00:24:59 -16626.309865] SLOW spr round 5 (radius: 20)
[00:25:22 -16626.309865] SLOW spr round 6 (radius: 25)
[00:25:42 -16626.309865] Model parameter optimization (eps = 0.100000)

[00:25:44] [worker #0] ML tree search #16, logLikelihood: -16626.259138

[00:25:44 -44404.289651] Initial branch length optimization
[00:25:45 -33827.851969] Model parameter optimization (eps = 10.000000)
[00:25:53 -33442.958566] AUTODETECT spr round 1 (radius: 5)
[00:26:00 -26226.274120] AUTODETECT spr round 2 (radius: 10)
[00:26:11 -22069.320640] AUTODETECT spr round 3 (radius: 15)
[00:26:24 -19716.300935] AUTODETECT spr round 4 (radius: 20)
[00:26:39 -18796.688801] AUTODETECT spr round 5 (radius: 25)
[00:26:54 -18796.658036] SPR radius for FAST iterations: 20 (autodetect)
[00:26:54 -18796.658036] Model parameter optimization (eps = 3.000000)
[00:27:00 -18741.749360] FAST spr round 1 (radius: 20)
[00:27:11 -16802.771949] FAST spr round 2 (radius: 20)
[00:27:19 -16650.580028] FAST spr round 3 (radius: 20)
[00:27:26 -16644.930071] FAST spr round 4 (radius: 20)
[00:27:33 -16644.929108] Model parameter optimization (eps = 1.000000)
[00:27:38 -16637.393845] SLOW spr round 1 (radius: 5)
[00:27:52 -16629.902355] SLOW spr round 2 (radius: 5)
[00:28:05 -16628.842898] SLOW spr round 3 (radius: 5)
[00:28:18 -16628.789954] SLOW spr round 4 (radius: 10)
[00:28:21] [worker #1] ML tree search #20, logLikelihood: -16634.406741
[00:28:30 -16628.789788] SLOW spr round 5 (radius: 15)
[00:28:53 -16628.789786] SLOW spr round 6 (radius: 20)
[00:29:17 -16628.789786] SLOW spr round 7 (radius: 25)
[00:29:37 -16628.789786] Model parameter optimization (eps = 0.100000)

[00:29:40] [worker #0] ML tree search #19, logLikelihood: -16628.354459


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.303863,0.693131) (0.298034,1.252661) (0.333064,0.793614) (0.065038,2.332823) 
   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: -16624.426531

AIC score: 34006.853063 / AICc score: 322046.853063 / BIC score: 35165.170223
Free parameters (model + branch lengths): 379

WARNING: Number of free parameters (K=379) is larger than alignment size (n=157).
         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/Q9NPI0/3_mltree/Q9NPI0.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/3_mltree/Q9NPI0.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/3_mltree/Q9NPI0.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NPI0/3_mltree/Q9NPI0.raxml.log

Analysis started: 07-Jul-2021 15:34:41 / finished: 07-Jul-2021 16:04:21

Elapsed time: 1780.678 seconds