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 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 07-Jul-2021 05:07:41 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/2_msa/Q86UC2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2 --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: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/2_msa/Q86UC2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 268 taxa and 231 sites

WARNING: Sequences sp_Q3UFY4_RSH3A_MOUSE_10090 and sp_Q9DA80_RSH3B_MOUSE_10090 are exactly identical!
WARNING: Sequences tr_A0DKU8_A0DKU8_PARTE_5888 and tr_A0EG05_A0EG05_PARTE_5888 are exactly identical!
WARNING: Sequences tr_B4J3G6_B4J3G6_DROGR_7222 and tr_B4K2D0_B4K2D0_DROGR_7222 are exactly identical!
WARNING: Sequences tr_B5DRH1_B5DRH1_DROPS_46245 and tr_B4H7B2_B4H7B2_DROPE_7234 are exactly identical!
WARNING: Sequences tr_Q4D6J1_Q4D6J1_TRYCC_353153 and tr_Q4DIZ0_Q4DIZ0_TRYCC_353153 are exactly identical!
WARNING: Sequences tr_A0A158NGF8_A0A158NGF8_ATTCE_12957 and tr_A0A151I145_A0A151I145_9HYME_520822 are exactly identical!
WARNING: Sequences sp_Q86UC2_RSPH3_HUMAN_9606 and tr_A0A2R8ZDT1_A0A2R8ZDT1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5Q281_A0A1D5Q281_MACMU_9544 and tr_Q4R672_Q4R672_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5Q281_A0A1D5Q281_MACMU_9544 and tr_A0A2K6D0B9_A0A2K6D0B9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_B3RY22_B3RY22_TRIAD_10228 and tr_A0A369SLD1_A0A369SLD1_9METZ_287889 are exactly identical!
WARNING: Sequences tr_A0A2K5MR14_A0A2K5MR14_CERAT_9531 and tr_A0A2K5ZYW1_A0A2K5ZYW1_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 11

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.reduced.phy

Alignment comprises 1 partitions and 231 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 231 / 231
Gaps: 3.88 %
Invariant sites: 0.43 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.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 268 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 231 / 18480
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -93798.759798] Initial branch length optimization
[00:00:00 -76638.570152] Model parameter optimization (eps = 10.000000)
[00:00:10 -76328.096184] AUTODETECT spr round 1 (radius: 5)
[00:00:25 -62053.685754] AUTODETECT spr round 2 (radius: 10)
[00:00:47 -50962.874165] AUTODETECT spr round 3 (radius: 15)
[00:01:15 -47017.258314] AUTODETECT spr round 4 (radius: 20)
[00:01:44 -46914.573426] AUTODETECT spr round 5 (radius: 25)
[00:02:15 -46792.374016] SPR radius for FAST iterations: 25 (autodetect)
[00:02:15 -46792.374016] Model parameter optimization (eps = 3.000000)
[00:02:24 -46700.051537] FAST spr round 1 (radius: 25)
[00:02:46 -41511.483251] FAST spr round 2 (radius: 25)
[00:03:05 -41422.832458] FAST spr round 3 (radius: 25)
[00:03:20 -41400.266183] FAST spr round 4 (radius: 25)
[00:03:34 -41396.682803] FAST spr round 5 (radius: 25)
[00:03:47 -41395.170754] FAST spr round 6 (radius: 25)
[00:04:00 -41395.170730] Model parameter optimization (eps = 1.000000)
[00:04:04 -41393.897479] SLOW spr round 1 (radius: 5)
[00:04:29 -41393.028924] SLOW spr round 2 (radius: 5)
[00:04:53 -41393.028846] SLOW spr round 3 (radius: 10)
[00:05:18 -41392.313842] SLOW spr round 4 (radius: 5)
[00:05:53 -41390.411976] SLOW spr round 5 (radius: 5)
[00:06:21 -41390.411791] SLOW spr round 6 (radius: 10)
[00:06:49 -41390.411778] SLOW spr round 7 (radius: 15)
[00:07:36 -41390.411777] SLOW spr round 8 (radius: 20)
[00:08:18] [worker #4] ML tree search #5, logLikelihood: -41393.039964
[00:08:27 -41390.411777] SLOW spr round 9 (radius: 25)
[00:08:33] [worker #2] ML tree search #3, logLikelihood: -41397.995547
[00:09:23 -41390.411776] Model parameter optimization (eps = 0.100000)

[00:09:25] [worker #0] ML tree search #1, logLikelihood: -41390.373917

[00:09:25 -94111.709836] Initial branch length optimization
[00:09:26 -76989.255650] Model parameter optimization (eps = 10.000000)
[00:09:39 -76658.589735] AUTODETECT spr round 1 (radius: 5)
[00:09:55 -64462.468715] AUTODETECT spr round 2 (radius: 10)
[00:10:18 -53973.557436] AUTODETECT spr round 3 (radius: 15)
[00:10:46 -46563.116357] AUTODETECT spr round 4 (radius: 20)
[00:11:18 -45413.008533] AUTODETECT spr round 5 (radius: 25)
[00:11:33] [worker #1] ML tree search #2, logLikelihood: -41403.569942
[00:11:49 -45412.990500] SPR radius for FAST iterations: 20 (autodetect)
[00:11:49 -45412.990500] Model parameter optimization (eps = 3.000000)
[00:11:57 -45302.773098] FAST spr round 1 (radius: 20)
[00:11:59] [worker #3] ML tree search #4, logLikelihood: -41391.995309
[00:12:21 -41564.591775] FAST spr round 2 (radius: 20)
[00:12:39 -41424.907140] FAST spr round 3 (radius: 20)
[00:12:52 -41424.907114] Model parameter optimization (eps = 1.000000)
[00:12:55 -41424.402032] SLOW spr round 1 (radius: 5)
[00:13:23 -41412.536759] SLOW spr round 2 (radius: 5)
[00:13:48 -41410.217421] SLOW spr round 3 (radius: 5)
[00:14:12 -41409.755333] SLOW spr round 4 (radius: 5)
[00:14:36 -41409.753970] SLOW spr round 5 (radius: 10)
[00:15:02 -41407.605009] SLOW spr round 6 (radius: 5)
[00:15:35 -41407.430598] SLOW spr round 7 (radius: 5)
[00:16:04 -41406.556672] SLOW spr round 8 (radius: 5)
[00:16:29 -41406.555424] SLOW spr round 9 (radius: 10)
[00:16:56 -41404.786455] SLOW spr round 10 (radius: 5)
[00:17:17] [worker #4] ML tree search #10, logLikelihood: -41390.890459
[00:17:31 -41403.322245] SLOW spr round 11 (radius: 5)
[00:17:59 -41403.321988] SLOW spr round 12 (radius: 10)
[00:18:10] [worker #2] ML tree search #8, logLikelihood: -41391.094572
[00:18:26 -41403.321980] SLOW spr round 13 (radius: 15)
[00:19:13 -41403.321979] SLOW spr round 14 (radius: 20)
[00:20:07 -41403.321979] SLOW spr round 15 (radius: 25)
[00:21:05 -41399.702571] SLOW spr round 16 (radius: 5)
[00:21:42 -41398.217770] SLOW spr round 17 (radius: 5)
[00:22:10] [worker #3] ML tree search #9, logLikelihood: -41393.177186
[00:22:12 -41398.217240] SLOW spr round 18 (radius: 10)
[00:22:40 -41398.217195] SLOW spr round 19 (radius: 15)
[00:23:19] [worker #1] ML tree search #7, logLikelihood: -41391.437757
[00:23:26 -41398.217190] SLOW spr round 20 (radius: 20)
[00:24:19 -41398.217189] SLOW spr round 21 (radius: 25)
[00:25:17 -41398.217188] Model parameter optimization (eps = 0.100000)

[00:25:20] [worker #0] ML tree search #6, logLikelihood: -41398.008102

[00:25:20 -94725.568886] Initial branch length optimization
[00:25:20 -77101.228524] Model parameter optimization (eps = 10.000000)
[00:25:30 -76783.831381] AUTODETECT spr round 1 (radius: 5)
[00:25:46 -64444.982310] AUTODETECT spr round 2 (radius: 10)
[00:26:08 -53209.184704] AUTODETECT spr round 3 (radius: 15)
[00:26:32] [worker #2] ML tree search #13, logLikelihood: -41392.187491
[00:26:40 -46176.398496] AUTODETECT spr round 4 (radius: 20)
[00:27:19 -45681.343467] AUTODETECT spr round 5 (radius: 25)
[00:27:51] [worker #4] ML tree search #15, logLikelihood: -41391.727003
[00:27:56 -45681.313530] SPR radius for FAST iterations: 20 (autodetect)
[00:27:56 -45681.313530] Model parameter optimization (eps = 3.000000)
[00:28:05 -45579.006476] FAST spr round 1 (radius: 20)
[00:28:27 -41487.584217] FAST spr round 2 (radius: 20)
[00:28:45 -41425.119090] FAST spr round 3 (radius: 20)
[00:28:59 -41417.849162] FAST spr round 4 (radius: 20)
[00:29:13 -41415.872269] FAST spr round 5 (radius: 20)
[00:29:26 -41415.824462] Model parameter optimization (eps = 1.000000)
[00:29:31 -41411.369575] SLOW spr round 1 (radius: 5)
[00:29:58 -41400.046346] SLOW spr round 2 (radius: 5)
[00:30:22 -41400.045173] SLOW spr round 3 (radius: 10)
[00:30:48 -41399.384073] SLOW spr round 4 (radius: 5)
[00:30:49] [worker #3] ML tree search #14, logLikelihood: -41401.967807
[00:31:16] [worker #1] ML tree search #12, logLikelihood: -41388.122123
[00:31:22 -41399.378694] SLOW spr round 5 (radius: 10)
[00:31:55 -41399.378180] SLOW spr round 6 (radius: 15)
[00:32:39 -41399.378135] SLOW spr round 7 (radius: 20)
[00:33:32 -41399.378130] SLOW spr round 8 (radius: 25)
[00:34:28 -41398.969060] SLOW spr round 9 (radius: 5)
[00:34:30] [worker #2] ML tree search #18, logLikelihood: -41394.262906
[00:35:05 -41398.966933] SLOW spr round 10 (radius: 10)
[00:35:40 -41398.965796] SLOW spr round 11 (radius: 15)
[00:36:23 -41398.965088] SLOW spr round 12 (radius: 20)
[00:37:16 -41398.964638] SLOW spr round 13 (radius: 25)
[00:38:13 -41398.964352] Model parameter optimization (eps = 0.100000)

[00:38:16] [worker #0] ML tree search #11, logLikelihood: -41398.810756

[00:38:16 -94769.969022] Initial branch length optimization
[00:38:17 -76843.290922] Model parameter optimization (eps = 10.000000)
[00:38:26 -76510.747736] AUTODETECT spr round 1 (radius: 5)
[00:38:42 -62093.899734] AUTODETECT spr round 2 (radius: 10)
[00:38:42] [worker #4] ML tree search #20, logLikelihood: -41388.766180
[00:39:02 -54413.622522] AUTODETECT spr round 3 (radius: 15)
[00:39:27 -48755.126480] AUTODETECT spr round 4 (radius: 20)
[00:40:04 -46200.694521] AUTODETECT spr round 5 (radius: 25)
[00:40:42 -45943.965164] SPR radius for FAST iterations: 25 (autodetect)
[00:40:42 -45943.965164] Model parameter optimization (eps = 3.000000)
[00:40:50] [worker #3] ML tree search #19, logLikelihood: -41393.795284
[00:40:52 -45827.122030] FAST spr round 1 (radius: 25)
[00:41:19 -41653.973354] FAST spr round 2 (radius: 25)
[00:41:40 -41442.684482] FAST spr round 3 (radius: 25)
[00:41:57 -41414.672810] FAST spr round 4 (radius: 25)
[00:42:11 -41409.233643] FAST spr round 5 (radius: 25)
[00:42:24 -41409.233018] Model parameter optimization (eps = 1.000000)
[00:42:28 -41406.903925] SLOW spr round 1 (radius: 5)
[00:42:33] [worker #1] ML tree search #17, logLikelihood: -41390.341009
[00:42:55 -41404.090120] SLOW spr round 2 (radius: 5)
[00:43:18 -41403.988870] SLOW spr round 3 (radius: 5)
[00:43:41 -41403.988743] SLOW spr round 4 (radius: 10)
[00:44:06 -41402.670074] SLOW spr round 5 (radius: 5)
[00:44:40 -41400.223061] SLOW spr round 6 (radius: 5)
[00:45:08 -41400.218943] SLOW spr round 7 (radius: 10)
[00:45:35 -41399.421150] SLOW spr round 8 (radius: 5)
[00:46:07 -41399.062987] SLOW spr round 9 (radius: 5)
[00:46:35 -41399.062931] SLOW spr round 10 (radius: 10)
[00:47:00 -41399.062930] SLOW spr round 11 (radius: 15)
[00:47:47 -41399.062930] SLOW spr round 12 (radius: 20)
[00:48:42 -41399.062930] SLOW spr round 13 (radius: 25)
[00:49:39 -41399.062930] Model parameter optimization (eps = 0.100000)

[00:49:41] [worker #0] ML tree search #16, logLikelihood: -41398.984637


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.142877,0.332350) (0.199224,0.511562) (0.344364,0.790765) (0.313535,1.844414) 
   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: -41388.122123

AIC score: 83854.244246 / AICc score: 665974.244246 / BIC score: 85709.707392
Free parameters (model + branch lengths): 539

WARNING: Number of free parameters (K=539) is larger than alignment size (n=231).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 11 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UC2/3_mltree/Q86UC2.raxml.log

Analysis started: 07-Jul-2021 05:07:41 / finished: 07-Jul-2021 05:57:22

Elapsed time: 2981.273 seconds

Consumed energy: 216.939 Wh (= 1 km in an electric car, or 5 km with an e-scooter!)