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 03-Jul-2021 18:34:03 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/2_msa/Q9H0G5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/3_mltree/Q9H0G5 --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/Q9H0G5/2_msa/Q9H0G5_trimmed_msa.fasta
[00:00:00] Loaded alignment with 779 taxa and 301 sites

WARNING: Sequences tr_B8PHX2_B8PHX2_POSPM_561896 and tr_A0A1X6N9B5_A0A1X6N9B5_9APHY_670580 are exactly identical!
WARNING: Sequences tr_B8NBQ6_B8NBQ6_ASPFN_332952 and tr_Q2TZJ2_Q2TZJ2_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_B8NBQ6_B8NBQ6_ASPFN_332952 and tr_A0A1S9DE59_A0A1S9DE59_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_H2QCL0_H2QCL0_PANTR_9598 and tr_A0A2R8ZDY8_A0A2R8ZDY8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F9FBA3_F9FBA3_FUSOF_660025 and tr_A0A0D2XE39_A0A0D2XE39_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9FBA3_F9FBA3_FUSOF_660025 and tr_N4TLB4_N4TLB4_FUSC1_1229664 are exactly identical!
WARNING: Sequences tr_F9FBA3_F9FBA3_FUSOF_660025 and tr_X0D314_X0D314_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FBA3_F9FBA3_FUSOF_660025 and tr_A0A2H3TBY9_A0A2H3TBY9_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_C6H4G7_C6H4G7_AJECH_544712 and tr_F0U8S2_F0U8S2_AJEC8_544711 are exactly identical!
WARNING: Sequences tr_A0A0E0H176_A0A0E0H176_ORYNI_4536 and tr_A2XTS3_A2XTS3_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0H176_A0A0E0H176_ORYNI_4536 and tr_I1PLJ0_I1PLJ0_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0H176_A0A0E0H176_ORYNI_4536 and tr_A0A0E0P9J2_A0A0E0P9J2_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0H176_A0A0E0H176_ORYNI_4536 and tr_A0A0D3FW66_A0A0D3FW66_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0H176_A0A0E0H176_ORYNI_4536 and tr_Q7XQG4_Q7XQG4_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_F4NTL1_F4NTL1_BATDJ_684364 and tr_A0A177WBY8_A0A177WBY8_BATDE_403673 are exactly identical!
WARNING: Sequences tr_G2YJV5_G2YJV5_BOTF4_999810 and tr_M7U7C5_M7U7C5_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_F2SK56_F2SK56_TRIRC_559305 and tr_A0A178EQA5_A0A178EQA5_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_B3S4B1_B3S4B1_TRIAD_10228 and tr_A0A369S239_A0A369S239_9METZ_287889 are exactly identical!
WARNING: Sequences tr_V2XTB7_V2XTB7_MONRO_1381753 and tr_A0A0W0GDS9_A0A0W0GDS9_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_A0A015L493_A0A015L493_9GLOM_1432141 and tr_A0A2I1FSH4_A0A2I1FSH4_9GLOM_588596 are exactly identical!
WARNING: Sequences tr_A0A015L493_A0A015L493_9GLOM_1432141 and tr_A0A2H5R4T1_A0A2H5R4T1_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A094E694_A0A094E694_9PEZI_1420912 and tr_A0A1B8GDG4_A0A1B8GDG4_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_V4SJY0_V4SJY0_9ROSI_85681 and tr_A0A2H5Q9B4_A0A2H5Q9B4_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0V0VVQ0_A0A0V0VVQ0_9BILA_181606 and tr_A0A0V1LQ69_A0A0V1LQ69_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V0VVQ0_A0A0V0VVQ0_9BILA_181606 and tr_A0A0V1PLN3_A0A0V1PLN3_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V0VVQ0_A0A0V0VVQ0_9BILA_181606 and tr_A0A0V0UH24_A0A0V0UH24_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A165ALN7_A0A165ALN7_9HOMO_1314777 and tr_A0A166GVG4_A0A166GVG4_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1U8EXA7_A0A1U8EXA7_CAPAN_4072 and tr_A0A2G3BAT5_A0A2G3BAT5_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 28

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/Q9H0G5/3_mltree/Q9H0G5.raxml.reduced.phy

Alignment comprises 1 partitions and 301 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 301 / 301
Gaps: 11.03 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/3_mltree/Q9H0G5.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 779 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 301 / 24080
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -424846.737060] Initial branch length optimization
[00:00:07 -368260.272641] Model parameter optimization (eps = 10.000000)
[00:01:01 -367664.680374] AUTODETECT spr round 1 (radius: 5)
[00:03:48 -278094.312117] AUTODETECT spr round 2 (radius: 10)
[00:06:54 -214318.500937] AUTODETECT spr round 3 (radius: 15)
[00:10:25 -197645.106973] AUTODETECT spr round 4 (radius: 20)
[00:14:47 -180377.749625] AUTODETECT spr round 5 (radius: 25)
[00:19:18 -176616.801484] SPR radius for FAST iterations: 25 (autodetect)
[00:19:18 -176616.801484] Model parameter optimization (eps = 3.000000)
[00:19:51 -176598.387529] FAST spr round 1 (radius: 25)
[00:23:42 -157835.312524] FAST spr round 2 (radius: 25)
[00:26:37 -156990.916294] FAST spr round 3 (radius: 25)
[00:29:02 -156909.782699] FAST spr round 4 (radius: 25)
[00:31:14 -156875.385994] FAST spr round 5 (radius: 25)
[00:33:15 -156865.954122] FAST spr round 6 (radius: 25)
[00:35:08 -156865.575169] FAST spr round 7 (radius: 25)
[00:36:58 -156865.574820] Model parameter optimization (eps = 1.000000)
[00:37:18 -156864.397371] SLOW spr round 1 (radius: 5)
[00:40:18 -156828.143279] SLOW spr round 2 (radius: 5)
[00:43:04 -156826.135888] SLOW spr round 3 (radius: 5)
[00:45:44 -156825.367114] SLOW spr round 4 (radius: 5)
[00:48:23 -156824.737217] SLOW spr round 5 (radius: 5)
[00:51:00 -156824.737179] SLOW spr round 6 (radius: 10)
[00:53:44 -156824.737143] SLOW spr round 7 (radius: 15)
[00:59:26 -156824.737108] SLOW spr round 8 (radius: 20)
[01:07:09 -156824.737072] SLOW spr round 9 (radius: 25)
[01:09:19] [worker #3] ML tree search #4, logLikelihood: -156803.972470
[01:12:44] [worker #4] ML tree search #5, logLikelihood: -156807.483896
[01:16:08 -156824.737036] Model parameter optimization (eps = 0.100000)

[01:16:17] [worker #0] ML tree search #1, logLikelihood: -156824.655354

[01:16:18 -422927.253848] Initial branch length optimization
[01:16:26 -367163.567437] Model parameter optimization (eps = 10.000000)
[01:16:48] [worker #1] ML tree search #2, logLikelihood: -156816.140754
[01:17:25 -366486.998979] AUTODETECT spr round 1 (radius: 5)
[01:20:10 -280924.061287] AUTODETECT spr round 2 (radius: 10)
[01:23:06] [worker #2] ML tree search #3, logLikelihood: -156797.964779
[01:23:25 -215425.478105] AUTODETECT spr round 3 (radius: 15)
[01:27:04 -184776.032426] AUTODETECT spr round 4 (radius: 20)
[01:31:13 -177687.512525] AUTODETECT spr round 5 (radius: 25)
[01:36:10 -175470.212476] SPR radius for FAST iterations: 25 (autodetect)
[01:36:10 -175470.212476] Model parameter optimization (eps = 3.000000)
[01:36:33 -175445.409148] FAST spr round 1 (radius: 25)
[01:40:36 -157433.437694] FAST spr round 2 (radius: 25)
[01:43:27 -156917.184475] FAST spr round 3 (radius: 25)
[01:45:46 -156855.511631] FAST spr round 4 (radius: 25)
[01:47:48 -156847.264900] FAST spr round 5 (radius: 25)
[01:49:43 -156844.590012] FAST spr round 6 (radius: 25)
[01:51:34 -156844.589957] Model parameter optimization (eps = 1.000000)
[01:51:59 -156841.458580] SLOW spr round 1 (radius: 5)
[01:55:05 -156808.202050] SLOW spr round 2 (radius: 5)
[01:57:51 -156806.227815] SLOW spr round 3 (radius: 5)
[02:00:34 -156804.633325] SLOW spr round 4 (radius: 5)
[02:03:13 -156804.633191] SLOW spr round 5 (radius: 10)
[02:05:57 -156804.633190] SLOW spr round 6 (radius: 15)
[02:11:33 -156804.633190] SLOW spr round 7 (radius: 20)
[02:19:08 -156804.633190] SLOW spr round 8 (radius: 25)
[02:28:13] [worker #4] ML tree search #10, logLikelihood: -156800.258181
[02:28:16 -156804.633189] Model parameter optimization (eps = 0.100000)

[02:28:23] [worker #0] ML tree search #6, logLikelihood: -156804.548621

[02:28:23 -421546.682834] Initial branch length optimization
[02:28:28 -368043.875584] Model parameter optimization (eps = 10.000000)
[02:29:04] [worker #1] ML tree search #7, logLikelihood: -156801.352420
[02:29:34 -367314.829774] AUTODETECT spr round 1 (radius: 5)
[02:32:11] [worker #3] ML tree search #9, logLikelihood: -156803.456510
[02:32:19 -277522.931534] AUTODETECT spr round 2 (radius: 10)
[02:35:25 -218631.447266] AUTODETECT spr round 3 (radius: 15)
[02:38:54 -192781.015709] AUTODETECT spr round 4 (radius: 20)
[02:43:12 -178016.927589] AUTODETECT spr round 5 (radius: 25)
[02:46:08] [worker #2] ML tree search #8, logLikelihood: -156812.568160
[02:48:36 -177062.290371] SPR radius for FAST iterations: 25 (autodetect)
[02:48:36 -177062.290371] Model parameter optimization (eps = 3.000000)
[02:49:00 -177032.359348] FAST spr round 1 (radius: 25)
[02:53:07 -157637.053350] FAST spr round 2 (radius: 25)
[02:56:00 -156919.981846] FAST spr round 3 (radius: 25)
[02:58:28 -156866.224914] FAST spr round 4 (radius: 25)
[03:00:32 -156861.043089] FAST spr round 5 (radius: 25)
[03:02:26 -156861.042963] Model parameter optimization (eps = 1.000000)
[03:02:44 -156858.590529] SLOW spr round 1 (radius: 5)
[03:05:53 -156803.780788] SLOW spr round 2 (radius: 5)
[03:08:37 -156803.650477] SLOW spr round 3 (radius: 5)
[03:11:18 -156803.650342] SLOW spr round 4 (radius: 10)
[03:14:06 -156803.385739] SLOW spr round 5 (radius: 5)
[03:17:38 -156803.028758] SLOW spr round 6 (radius: 5)
[03:20:46 -156799.596024] SLOW spr round 7 (radius: 5)
[03:23:34 -156799.397925] SLOW spr round 8 (radius: 5)
[03:26:15 -156799.396938] SLOW spr round 9 (radius: 10)
[03:28:57 -156799.396616] SLOW spr round 10 (radius: 15)
[03:34:28 -156799.396329] SLOW spr round 11 (radius: 20)
[03:41:50 -156799.396042] SLOW spr round 12 (radius: 25)
[03:42:07] [worker #3] ML tree search #14, logLikelihood: -156803.843517
[03:44:47] [worker #1] ML tree search #12, logLikelihood: -156806.900201
[03:47:45] [worker #4] ML tree search #15, logLikelihood: -156798.421301
[03:50:41 -156799.395756] Model parameter optimization (eps = 0.100000)

[03:50:47] [worker #0] ML tree search #11, logLikelihood: -156799.385708

[03:50:47 -423492.044714] Initial branch length optimization
[03:50:52 -367790.931223] Model parameter optimization (eps = 10.000000)
[03:51:43 -367135.179312] AUTODETECT spr round 1 (radius: 5)
[03:54:28 -280983.999865] AUTODETECT spr round 2 (radius: 10)
[03:57:38 -215532.180746] AUTODETECT spr round 3 (radius: 15)
[04:00:56 -196740.120999] AUTODETECT spr round 4 (radius: 20)
[04:04:54 -182297.968376] AUTODETECT spr round 5 (radius: 25)
[04:09:56 -176371.280350] SPR radius for FAST iterations: 25 (autodetect)
[04:09:56 -176371.280350] Model parameter optimization (eps = 3.000000)
[04:10:30 -176339.884558] FAST spr round 1 (radius: 25)
[04:14:34 -157754.973780] FAST spr round 2 (radius: 25)
[04:17:24 -156952.859434] FAST spr round 3 (radius: 25)
[04:19:46 -156883.108030] FAST spr round 4 (radius: 25)
[04:21:50 -156872.829725] FAST spr round 5 (radius: 25)
[04:23:45 -156869.114644] FAST spr round 6 (radius: 25)
[04:25:36 -156869.114534] Model parameter optimization (eps = 1.000000)
[04:25:56 -156865.796019] SLOW spr round 1 (radius: 5)
[04:28:55 -156811.590255] SLOW spr round 2 (radius: 5)
[04:29:07] [worker #2] ML tree search #13, logLikelihood: -156807.647476
[04:31:43 -156807.317201] SLOW spr round 3 (radius: 5)
[04:34:24 -156806.046554] SLOW spr round 4 (radius: 5)
[04:37:03 -156806.016956] SLOW spr round 5 (radius: 10)
[04:39:46 -156806.015036] SLOW spr round 6 (radius: 15)
[04:45:22 -156806.014748] SLOW spr round 7 (radius: 20)
[04:52:39 -156806.014748] SLOW spr round 8 (radius: 25)
[04:55:58] [worker #3] ML tree search #19, logLikelihood: -156794.522645
[04:57:05] [worker #1] ML tree search #17, logLikelihood: -156798.904650
[05:01:25 -156806.014748] Model parameter optimization (eps = 0.100000)

[05:01:33] [worker #0] ML tree search #16, logLikelihood: -156805.935042

[05:10:24] [worker #4] ML tree search #20, logLikelihood: -156797.855739
[05:51:45] [worker #2] ML tree search #18, logLikelihood: -156817.879157

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.094331,0.197947) (0.097502,0.314493) (0.332499,0.700089) (0.475668,1.509213) 
   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: -156794.522645

AIC score: 316711.045289 / AICc score: 5193275.045289 / BIC score: 322497.844413
Free parameters (model + branch lengths): 1561

WARNING: Number of free parameters (K=1561) is larger than alignment size (n=301).
         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/Q9H0G5/3_mltree/Q9H0G5.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/3_mltree/Q9H0G5.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/3_mltree/Q9H0G5.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q9H0G5/3_mltree/Q9H0G5.raxml.log

Analysis started: 03-Jul-2021 18:34:03 / finished: 04-Jul-2021 00:25:49

Elapsed time: 21105.551 seconds