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 18-Jul-2021 16:11:50 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/2_msa/Q9NYR8_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/3_mltree/Q9NYR8 --seed 2 --threads 5 --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 (5 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/2_msa/Q9NYR8_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 235 sites

WARNING: Sequences tr_J3K8L5_J3K8L5_COCIM_246410 and tr_A0A0J6YAH4_A0A0J6YAH4_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B6Q781_B6Q781_TALMQ_441960 and tr_A0A093VG00_A0A093VG00_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_A0A2I2YV50_A0A2I2YV50_GORGO_9595 and sp_Q5R6U1_DRS7B_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2YV50_A0A2I2YV50_GORGO_9595 and sp_Q6IAN0_DRS7B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_B8NMJ7_B8NMJ7_ASPFN_332952 and tr_Q2U1R9_Q2U1R9_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_B8NMJ7_B8NMJ7_ASPFN_332952 and tr_A0A1S9D7G4_A0A1S9D7G4_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_A0A179UT18_A0A179UT18_BLAGS_559298 and tr_C5GKM0_C5GKM0_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_H2QFA7_H2QFA7_PANTR_9598 and tr_A0A2R9AYK6_A0A2R9AYK6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_K7BYU2_K7BYU2_PANTR_9598 and tr_A0A2R9CG58_A0A2R9CG58_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q1WNP0_DHB1_PANTR_9598 and tr_A0A2R9CKT5_A0A2R9CKT5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0E0H1M2_A0A0E0H1M2_ORYNI_4536 and tr_B8AUP3_B8AUP3_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0H1M2_A0A0E0H1M2_ORYNI_4536 and tr_A0A0E0PA14_A0A0E0PA14_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A1D5QKN8_A0A1D5QKN8_MACMU_9544 and tr_A0A2I3MCI4_A0A2I3MCI4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QKN8_A0A1D5QKN8_MACMU_9544 and tr_A0A0D9R5Q7_A0A0D9R5Q7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QKN8_A0A1D5QKN8_MACMU_9544 and tr_A0A2K5M8I9_A0A2K5M8I9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QKN8_A0A1D5QKN8_MACMU_9544 and tr_A0A2K6C3M0_A0A2K6C3M0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QKN8_A0A1D5QKN8_MACMU_9544 and tr_A0A2K5Y4F4_A0A2K5Y4F4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6URW4_F6URW4_MACMU_9544 and tr_G7PZ59_G7PZ59_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6URW4_F6URW4_MACMU_9544 and tr_A0A0A0MXA3_A0A0A0MXA3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6URW4_F6URW4_MACMU_9544 and tr_A0A2K5LUH6_A0A2K5LUH6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6URW4_F6URW4_MACMU_9544 and tr_A0A2K6AX77_A0A2K6AX77_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7XCE6_G7XCE6_ASPKW_1033177 and tr_A0A146FC81_A0A146FC81_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_B3RJ90_B3RJ90_TRIAD_10228 and tr_A0A369RUB1_A0A369RUB1_9METZ_287889 are exactly identical!
WARNING: Sequences tr_F1MN23_F1MN23_BOVIN_9913 and sp_Q3T0R4_DRS7B_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_N4TLF5_N4TLF5_FUSC1_1229664 and tr_X0CCQ0_X0CCQ0_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_N4TLF5_N4TLF5_FUSC1_1229664 and tr_A0A2H3SZI8_A0A2H3SZI8_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_A0A078HNI5_A0A078HNI5_BRANA_3708 and tr_A0A0D3AID5_A0A0D3AID5_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A2I0MEC7_A0A2I0MEC7_COLLI_8932 and tr_A0A1V4K0A3_A0A1V4K0A3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S4D1Y9_A0A1S4D1Y9_TOBAC_4097 and tr_A0A1U7V9R4_A0A1U7V9R4_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A2H3C1B2_A0A2H3C1B2_9AGAR_1076256 and tr_A0A284RG59_A0A284RG59_9AGAR_47428 are exactly identical!
WARNING: Sequences tr_A0A2K5LEF1_A0A2K5LEF1_CERAT_9531 and tr_A0A2K5ZK21_A0A2K5ZK21_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 31

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/Q9NYR8/3_mltree/Q9NYR8.raxml.reduced.phy

Alignment comprises 1 partitions and 235 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 235 / 235
Gaps: 4.81 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/3_mltree/Q9NYR8.raxml.rba

Parallelization scheme autoconfig: 5 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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 235 / 18800
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -474763.191073] Initial branch length optimization
[00:00:05 -407642.211404] Model parameter optimization (eps = 10.000000)
[00:00:59 -406298.274194] AUTODETECT spr round 1 (radius: 5)
[00:04:45 -313036.660757] AUTODETECT spr round 2 (radius: 10)
[00:08:56 -242726.629286] AUTODETECT spr round 3 (radius: 15)
[00:13:30 -206149.942355] AUTODETECT spr round 4 (radius: 20)
[00:18:48 -194018.159880] AUTODETECT spr round 5 (radius: 25)
[00:24:35 -192917.362925] SPR radius for FAST iterations: 25 (autodetect)
[00:24:35 -192917.362925] Model parameter optimization (eps = 3.000000)
[00:25:03 -192545.906756] FAST spr round 1 (radius: 25)
[00:30:25 -172685.991095] FAST spr round 2 (radius: 25)
[00:34:15 -172028.697771] FAST spr round 3 (radius: 25)
[00:37:28 -171986.546415] FAST spr round 4 (radius: 25)
[00:40:18 -171975.664730] FAST spr round 5 (radius: 25)
[00:42:58 -171974.146898] FAST spr round 6 (radius: 25)
[00:45:33 -171974.146623] Model parameter optimization (eps = 1.000000)
[00:45:40 -171973.988949] SLOW spr round 1 (radius: 5)
[00:49:39 -171915.209985] SLOW spr round 2 (radius: 5)
[00:53:20 -171902.201233] SLOW spr round 3 (radius: 5)
[00:56:50 -171901.456979] SLOW spr round 4 (radius: 5)
[01:00:16 -171901.456813] SLOW spr round 5 (radius: 10)
[01:03:49 -171901.456812] SLOW spr round 6 (radius: 15)
[01:10:33 -171901.456812] SLOW spr round 7 (radius: 20)
[01:20:50 -171901.456812] SLOW spr round 8 (radius: 25)
[01:34:19 -171901.456812] Model parameter optimization (eps = 0.100000)

[01:34:25] [worker #0] ML tree search #1, logLikelihood: -171901.454376

[01:34:25 -474482.501545] Initial branch length optimization
[01:34:31 -405977.102112] Model parameter optimization (eps = 10.000000)
[01:35:43 -404836.896402] AUTODETECT spr round 1 (radius: 5)
[01:39:29 -311210.303946] AUTODETECT spr round 2 (radius: 10)
[01:43:36 -247621.437624] AUTODETECT spr round 3 (radius: 15)
[01:44:14] [worker #2] ML tree search #3, logLikelihood: -171910.140283
[01:44:58] [worker #1] ML tree search #2, logLikelihood: -171899.167105
[01:48:07 -223560.699754] AUTODETECT spr round 4 (radius: 20)
[01:53:50 -200174.015192] AUTODETECT spr round 5 (radius: 25)
[01:57:55] [worker #4] ML tree search #5, logLikelihood: -171873.767563
[02:00:55 -196778.335840] SPR radius for FAST iterations: 25 (autodetect)
[02:00:55 -196778.335840] Model parameter optimization (eps = 3.000000)
[02:01:26 -196489.349422] FAST spr round 1 (radius: 25)
[02:07:16 -172936.664529] FAST spr round 2 (radius: 25)
[02:11:09 -172037.708484] FAST spr round 3 (radius: 25)
[02:14:13] [worker #3] ML tree search #4, logLikelihood: -171883.336869
[02:14:27 -171971.900530] FAST spr round 4 (radius: 25)
[02:17:17 -171960.362870] FAST spr round 5 (radius: 25)
[02:19:56 -171959.904223] FAST spr round 6 (radius: 25)
[02:22:32 -171959.904221] Model parameter optimization (eps = 1.000000)
[02:22:39 -171959.720107] SLOW spr round 1 (radius: 5)
[02:26:36 -171907.460097] SLOW spr round 2 (radius: 5)
[02:30:21 -171888.893832] SLOW spr round 3 (radius: 5)
[02:33:52 -171886.207291] SLOW spr round 4 (radius: 5)
[02:37:20 -171881.852232] SLOW spr round 5 (radius: 5)
[02:40:42 -171881.526013] SLOW spr round 6 (radius: 5)
[02:44:05 -171880.867585] SLOW spr round 7 (radius: 5)
[02:47:25 -171880.867369] SLOW spr round 8 (radius: 10)
[02:50:50 -171880.867367] SLOW spr round 9 (radius: 15)
[02:57:03 -171880.867366] SLOW spr round 10 (radius: 20)
[03:06:07 -171880.867366] SLOW spr round 11 (radius: 25)
[03:17:55 -171880.867365] Model parameter optimization (eps = 0.100000)

[03:18:17] [worker #0] ML tree search #6, logLikelihood: -171872.441367

[03:18:17 -474292.874876] Initial branch length optimization
[03:18:23 -407029.200286] Model parameter optimization (eps = 10.000000)
[03:19:12 -405795.623338] AUTODETECT spr round 1 (radius: 5)
[03:22:57 -311662.106264] AUTODETECT spr round 2 (radius: 10)
[03:27:10 -235797.945954] AUTODETECT spr round 3 (radius: 15)
[03:31:49 -201479.748703] AUTODETECT spr round 4 (radius: 20)
[03:33:53] [worker #1] ML tree search #7, logLikelihood: -171912.016866
[03:37:32 -193271.180652] AUTODETECT spr round 5 (radius: 25)
[03:41:40] [worker #2] ML tree search #8, logLikelihood: -171879.841226
[03:43:57 -191062.156742] SPR radius for FAST iterations: 25 (autodetect)
[03:43:57 -191062.156742] Model parameter optimization (eps = 3.000000)
[03:44:06 -191060.550193] FAST spr round 1 (radius: 25)
[03:46:31] [worker #4] ML tree search #10, logLikelihood: -171883.061018
[03:49:48 -172974.476592] FAST spr round 2 (radius: 25)
[03:53:50 -172322.082494] FAST spr round 3 (radius: 25)
[03:57:14 -172264.457299] FAST spr round 4 (radius: 25)
[04:00:10 -172254.738442] FAST spr round 5 (radius: 25)
[04:02:10] [worker #3] ML tree search #9, logLikelihood: -171905.929280
[04:02:52 -172253.362329] FAST spr round 6 (radius: 25)
[04:05:29 -172253.362249] Model parameter optimization (eps = 1.000000)
[04:05:36 -172253.321589] SLOW spr round 1 (radius: 5)
[04:09:40 -172197.186476] SLOW spr round 2 (radius: 5)
[04:13:24 -172190.719501] SLOW spr round 3 (radius: 5)
[04:17:01 -172189.303147] SLOW spr round 4 (radius: 5)
[04:20:32 -172189.236937] SLOW spr round 5 (radius: 10)
[04:24:09 -172186.472047] SLOW spr round 6 (radius: 5)
[04:28:36 -172186.472013] SLOW spr round 7 (radius: 10)
[04:32:40 -172186.281219] SLOW spr round 8 (radius: 5)
[04:37:03 -172184.456904] SLOW spr round 9 (radius: 5)
[04:41:00 -172181.355103] SLOW spr round 10 (radius: 5)
[04:44:40 -172181.354323] SLOW spr round 11 (radius: 10)
[04:48:18 -172181.354314] SLOW spr round 12 (radius: 15)
[04:55:10 -172181.354314] SLOW spr round 13 (radius: 20)
[05:05:49 -172181.354314] SLOW spr round 14 (radius: 25)
[05:17:27] [worker #4] ML tree search #15, logLikelihood: -171909.984731
[05:20:12 -172181.354314] Model parameter optimization (eps = 0.100000)

[05:20:18] [worker #0] ML tree search #11, logLikelihood: -172181.326258

[05:20:18 -471684.676137] Initial branch length optimization
[05:20:22 -405590.337579] Model parameter optimization (eps = 10.000000)
[05:21:25 -404393.649028] AUTODETECT spr round 1 (radius: 5)
[05:25:11 -310467.704298] AUTODETECT spr round 2 (radius: 10)
[05:27:23] [worker #1] ML tree search #12, logLikelihood: -171884.950656
[05:27:55] [worker #2] ML tree search #13, logLikelihood: -171902.496404
[05:29:19 -235591.588385] AUTODETECT spr round 3 (radius: 15)
[05:33:42 -207209.310121] AUTODETECT spr round 4 (radius: 20)
[05:39:01 -192654.915613] AUTODETECT spr round 5 (radius: 25)
[05:41:07] [worker #3] ML tree search #14, logLikelihood: -171871.841194
[05:44:43 -190846.506928] SPR radius for FAST iterations: 25 (autodetect)
[05:44:43 -190846.506928] Model parameter optimization (eps = 3.000000)
[05:45:15 -190630.406850] FAST spr round 1 (radius: 25)
[05:50:49 -172984.817915] FAST spr round 2 (radius: 25)
[05:54:41 -172082.691587] FAST spr round 3 (radius: 25)
[05:57:58 -171973.014090] FAST spr round 4 (radius: 25)
[06:00:52 -171962.284067] FAST spr round 5 (radius: 25)
[06:03:33 -171960.596827] FAST spr round 6 (radius: 25)
[06:06:09 -171960.596605] Model parameter optimization (eps = 1.000000)
[06:06:27 -171958.075304] SLOW spr round 1 (radius: 5)
[06:10:24 -171930.977251] SLOW spr round 2 (radius: 5)
[06:14:04 -171924.736944] SLOW spr round 3 (radius: 5)
[06:17:34 -171923.033161] SLOW spr round 4 (radius: 5)
[06:20:58 -171923.033067] SLOW spr round 5 (radius: 10)
[06:24:28 -171922.379482] SLOW spr round 6 (radius: 5)
[06:28:46 -171921.440190] SLOW spr round 7 (radius: 5)
[06:32:34 -171921.439354] SLOW spr round 8 (radius: 10)
[06:36:10 -171920.782458] SLOW spr round 9 (radius: 5)
[06:40:26 -171920.429949] SLOW spr round 10 (radius: 5)
[06:44:14 -171920.428000] SLOW spr round 11 (radius: 10)
[06:47:50 -171920.237685] SLOW spr round 12 (radius: 5)
[06:52:08 -171918.765327] SLOW spr round 13 (radius: 5)
[06:55:57 -171918.764464] SLOW spr round 14 (radius: 10)
[06:59:35 -171918.701266] SLOW spr round 15 (radius: 15)
[07:05:53 -171918.698143] SLOW spr round 16 (radius: 20)
[07:16:10 -171918.696987] SLOW spr round 17 (radius: 25)
[07:29:30 -171918.696453] Model parameter optimization (eps = 0.100000)

[07:29:43] [worker #0] ML tree search #16, logLikelihood: -171917.466702

[07:33:00] [worker #3] ML tree search #19, logLikelihood: -171878.369813
[07:33:38] [worker #2] ML tree search #18, logLikelihood: -172135.899796
[07:33:55] [worker #4] ML tree search #20, logLikelihood: -171882.684751
[07:44:24] [worker #1] ML tree search #17, logLikelihood: -171877.950209

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.149654,0.440197) (0.263212,0.522962) (0.322907,0.957571) (0.264227,1.844124) 
   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: -171871.841194

AIC score: 347753.682389 / AICc score: 8391813.682389 / BIC score: 354690.151345
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=235).
         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/Q9NYR8/3_mltree/Q9NYR8.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/3_mltree/Q9NYR8.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/3_mltree/Q9NYR8.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9NYR8/3_mltree/Q9NYR8.raxml.log

Analysis started: 18-Jul-2021 16:11:50 / finished: 18-Jul-2021 23:56:15

Elapsed time: 27865.194 seconds