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 03-Jul-2021 13:36:37 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/2_msa/Q9NRG7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7 --seed 2 --threads 6 --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 (6 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/2_msa/Q9NRG7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 420 taxa and 287 sites

WARNING: Sequences tr_J3KLD7_J3KLD7_COCIM_246410 and tr_A0A0J6YQJ8_A0A0J6YQJ8_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B8N0P7_B8N0P7_ASPFN_332952 and tr_Q2UJE5_Q2UJE5_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_E9F0T6_E9F0T6_METRA_655844 and tr_A0A0B4IA29_A0A0B4IA29_METMF_1276143 are exactly identical!
WARNING: Sequences tr_A0A1P8B167_A0A1P8B167_ARATH_3702 and sp_Q9SJU9_GC1_ARATH_3702 are exactly identical!
WARNING: Sequences tr_A0A0E0FJF4_A0A0E0FJF4_ORYNI_4536 and tr_A0A0D3FCJ4_A0A0D3FCJ4_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0FJF4_A0A0E0FJF4_ORYNI_4536 and tr_Q6EP22_Q6EP22_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_F2STU1_F2STU1_TRIRC_559305 and tr_A0A178F701_A0A178F701_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_N4TYW9_N4TYW9_FUSC1_1229664 and tr_X0DBU8_X0DBU8_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_N4TYW9_N4TYW9_FUSC1_1229664 and tr_A0A2H3H7S1_A0A2H3H7S1_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_A0A067EF78_A0A067EF78_CITSI_2711 and tr_V4RQJ1_V4RQJ1_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A067EF78_A0A067EF78_CITSI_2711 and tr_A0A2H5PKF5_A0A2H5PKF5_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0M9EYF2_A0A0M9EYF2_FUSLA_179993 and tr_A0A1B8ABX5_A0A1B8ABX5_FUSPO_36050 are exactly identical!
WARNING: Sequences tr_A0A0M9EYF2_A0A0M9EYF2_FUSLA_179993 and tr_A0A2L2SPT2_A0A2L2SPT2_9HYPO_56646 are exactly identical!
WARNING: Sequences tr_A0A1U8EZT9_A0A1U8EZT9_CAPAN_4072 and tr_A0A2G3CRJ5_A0A2G3CRJ5_CAPCH_80379 are exactly identical!
WARNING: Sequences tr_A0A2V5HS81_A0A2V5HS81_9EURO_1450541 and tr_A0A2V5GWB2_A0A2V5GWB2_9EURO_1450538 are exactly identical!
WARNING: Duplicate sequences found: 15

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/Q9NRG7/3_mltree/Q9NRG7.raxml.reduced.phy

Alignment comprises 1 partitions and 287 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 287 / 287
Gaps: 10.96 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7.raxml.rba

Parallelization scheme autoconfig: 6 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 420 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 287 / 22960
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -217608.969746] Initial branch length optimization
[00:00:02 -179053.148952] Model parameter optimization (eps = 10.000000)
[00:00:33 -178642.490546] AUTODETECT spr round 1 (radius: 5)
[00:01:18 -120798.466511] AUTODETECT spr round 2 (radius: 10)
[00:02:11 -100143.585447] AUTODETECT spr round 3 (radius: 15)
[00:03:14 -90626.203823] AUTODETECT spr round 4 (radius: 20)
[00:04:37 -78758.360616] AUTODETECT spr round 5 (radius: 25)
[00:05:51 -78635.616273] SPR radius for FAST iterations: 25 (autodetect)
[00:05:51 -78635.616273] Model parameter optimization (eps = 3.000000)
[00:06:08 -78513.592089] FAST spr round 1 (radius: 25)
[00:07:09 -70631.060343] FAST spr round 2 (radius: 25)
[00:08:03 -70186.761336] FAST spr round 3 (radius: 25)
[00:08:48 -70152.356605] FAST spr round 4 (radius: 25)
[00:09:24 -70147.696051] FAST spr round 5 (radius: 25)
[00:09:58 -70147.695947] Model parameter optimization (eps = 1.000000)
[00:10:07 -70139.411940] SLOW spr round 1 (radius: 5)
[00:11:13 -70112.831522] SLOW spr round 2 (radius: 5)
[00:12:12 -70107.501775] SLOW spr round 3 (radius: 5)
[00:13:08 -70106.227482] SLOW spr round 4 (radius: 5)
[00:14:04 -70106.227062] SLOW spr round 5 (radius: 10)
[00:15:00 -70104.827233] SLOW spr round 6 (radius: 5)
[00:16:18 -70104.824433] SLOW spr round 7 (radius: 10)
[00:17:23 -70104.823779] SLOW spr round 8 (radius: 15)
[00:18:12] [worker #2] ML tree search #3, logLikelihood: -70103.951226
[00:18:46 -70104.823571] SLOW spr round 9 (radius: 20)
[00:19:06] [worker #1] ML tree search #2, logLikelihood: -70120.019872
[00:20:35 -70104.823495] SLOW spr round 10 (radius: 25)
[00:21:17] [worker #3] ML tree search #4, logLikelihood: -70118.111490
[00:22:21 -70104.823465] Model parameter optimization (eps = 0.100000)

[00:22:25] [worker #0] ML tree search #1, logLikelihood: -70104.726448

[00:22:25 -216734.284574] Initial branch length optimization
[00:22:27 -178331.908962] Model parameter optimization (eps = 10.000000)
[00:22:50 -177942.176094] AUTODETECT spr round 1 (radius: 5)
[00:23:35 -118978.752477] AUTODETECT spr round 2 (radius: 10)
[00:24:32 -97624.986858] AUTODETECT spr round 3 (radius: 15)
[00:25:34 -83351.231578] AUTODETECT spr round 4 (radius: 20)
[00:26:51 -79054.983723] AUTODETECT spr round 5 (radius: 25)
[00:28:17 -78315.466322] SPR radius for FAST iterations: 25 (autodetect)
[00:28:17 -78315.466322] Model parameter optimization (eps = 3.000000)
[00:28:38 -78194.799205] FAST spr round 1 (radius: 25)
[00:28:56] [worker #5] ML tree search #6, logLikelihood: -70102.593526
[00:29:43 -71040.948141] FAST spr round 2 (radius: 25)
[00:30:33 -70257.515364] FAST spr round 3 (radius: 25)
[00:31:18 -70132.596090] FAST spr round 4 (radius: 25)
[00:31:57 -70123.972228] FAST spr round 5 (radius: 25)
[00:32:32 -70122.489866] FAST spr round 6 (radius: 25)
[00:33:05 -70122.489863] Model parameter optimization (eps = 1.000000)
[00:33:13 -70116.759614] SLOW spr round 1 (radius: 5)
[00:34:18 -70103.626936] SLOW spr round 2 (radius: 5)
[00:35:15 -70103.626666] SLOW spr round 3 (radius: 10)
[00:36:12 -70102.554128] SLOW spr round 4 (radius: 5)
[00:37:21] [worker #4] ML tree search #5, logLikelihood: -70101.988315
[00:37:31 -70100.992232] SLOW spr round 5 (radius: 5)
[00:38:37 -70100.992211] SLOW spr round 6 (radius: 10)
[00:39:37 -70100.992211] SLOW spr round 7 (radius: 15)
[00:41:07 -70100.367271] SLOW spr round 8 (radius: 5)
[00:42:30 -70100.178323] SLOW spr round 9 (radius: 5)
[00:43:39 -70100.178306] SLOW spr round 10 (radius: 10)
[00:44:39 -70100.178305] SLOW spr round 11 (radius: 15)
[00:46:08 -70100.178305] SLOW spr round 12 (radius: 20)
[00:47:56 -70100.178305] SLOW spr round 13 (radius: 25)
[00:49:48 -70100.178305] Model parameter optimization (eps = 0.100000)

[00:49:51] [worker #0] ML tree search #7, logLikelihood: -70100.151859

[00:49:51 -218506.296748] Initial branch length optimization
[00:49:53 -179648.850840] Model parameter optimization (eps = 10.000000)
[00:50:31 -179168.429761] AUTODETECT spr round 1 (radius: 5)
[00:51:16 -118923.632814] AUTODETECT spr round 2 (radius: 10)
[00:52:12 -92315.008971] AUTODETECT spr round 3 (radius: 15)
[00:52:22] [worker #2] ML tree search #9, logLikelihood: -70101.491587
[00:53:05] [worker #1] ML tree search #8, logLikelihood: -70103.032225
[00:53:20 -79430.479580] AUTODETECT spr round 4 (radius: 20)
[00:54:38 -77711.284058] AUTODETECT spr round 5 (radius: 25)
[00:56:03 -77599.272770] SPR radius for FAST iterations: 25 (autodetect)
[00:56:03 -77599.272770] Model parameter optimization (eps = 3.000000)
[00:56:15] [worker #5] ML tree search #12, logLikelihood: -70134.746661
[00:56:21 -77495.114386] FAST spr round 1 (radius: 25)
[00:57:26 -70428.396239] FAST spr round 2 (radius: 25)
[00:58:17 -70171.080891] FAST spr round 3 (radius: 25)
[00:58:55] [worker #3] ML tree search #10, logLikelihood: -70120.364424
[00:58:56 -70151.564065] FAST spr round 4 (radius: 25)
[00:59:33 -70145.721975] FAST spr round 5 (radius: 25)
[01:00:07 -70145.721256] Model parameter optimization (eps = 1.000000)
[01:00:20 -70126.213614] SLOW spr round 1 (radius: 5)
[01:01:24 -70116.946534] SLOW spr round 2 (radius: 5)
[01:02:23 -70114.182400] SLOW spr round 3 (radius: 5)
[01:03:19 -70114.180951] SLOW spr round 4 (radius: 10)
[01:04:18 -70111.614068] SLOW spr round 5 (radius: 5)
[01:05:37 -70111.342325] SLOW spr round 6 (radius: 5)
[01:06:42 -70111.341918] SLOW spr round 7 (radius: 10)
[01:07:43 -70111.341888] SLOW spr round 8 (radius: 15)
[01:09:12 -70111.341880] SLOW spr round 9 (radius: 20)
[01:09:23] [worker #4] ML tree search #11, logLikelihood: -70094.851796
[01:11:02 -70111.341877] SLOW spr round 10 (radius: 25)
[01:12:55 -70110.720657] SLOW spr round 11 (radius: 5)
[01:14:25 -70104.864486] SLOW spr round 12 (radius: 5)
[01:15:19] [worker #5] ML tree search #18, logLikelihood: -70111.013679
[01:15:36 -70104.864029] SLOW spr round 13 (radius: 10)
[01:16:38 -70104.864019] SLOW spr round 14 (radius: 15)
[01:18:09 -70104.864018] SLOW spr round 15 (radius: 20)
[01:20:00 -70104.864018] SLOW spr round 16 (radius: 25)
[01:21:38] [worker #2] ML tree search #15, logLikelihood: -70103.257186
[01:21:52 -70104.864018] Model parameter optimization (eps = 0.100000)

[01:21:56] [worker #0] ML tree search #13, logLikelihood: -70104.780985

[01:21:56 -217162.779117] Initial branch length optimization
[01:21:58 -178070.163125] Model parameter optimization (eps = 10.000000)
[01:22:10] [worker #1] ML tree search #14, logLikelihood: -70096.743056
[01:22:36 -177656.758804] AUTODETECT spr round 1 (radius: 5)
[01:23:22 -122916.464569] AUTODETECT spr round 2 (radius: 10)
[01:24:16 -97722.783150] AUTODETECT spr round 3 (radius: 15)
[01:25:22 -83198.911759] AUTODETECT spr round 4 (radius: 20)
[01:26:35 -77968.982778] AUTODETECT spr round 5 (radius: 25)
[01:27:57 -77418.901871] SPR radius for FAST iterations: 25 (autodetect)
[01:27:57 -77418.901871] Model parameter optimization (eps = 3.000000)
[01:28:16 -77279.951965] FAST spr round 1 (radius: 25)
[01:28:44] [worker #3] ML tree search #16, logLikelihood: -70124.865518
[01:29:17 -70521.487394] FAST spr round 2 (radius: 25)
[01:30:09 -70199.493685] FAST spr round 3 (radius: 25)
[01:30:46 -70181.927334] FAST spr round 4 (radius: 25)
[01:31:21 -70181.862767] Model parameter optimization (eps = 1.000000)
[01:31:30 -70176.904780] SLOW spr round 1 (radius: 5)
[01:32:35 -70157.457894] SLOW spr round 2 (radius: 5)
[01:33:32 -70157.434565] SLOW spr round 3 (radius: 10)
[01:34:29 -70153.180604] SLOW spr round 4 (radius: 5)
[01:35:49 -70151.858948] SLOW spr round 5 (radius: 5)
[01:36:54 -70151.857521] SLOW spr round 6 (radius: 10)
[01:37:53 -70151.857358] SLOW spr round 7 (radius: 15)
[01:39:18 -70151.857338] SLOW spr round 8 (radius: 20)
[01:41:04 -70149.020269] SLOW spr round 9 (radius: 5)
[01:42:28 -70148.728355] SLOW spr round 10 (radius: 5)
[01:43:38 -70148.726908] SLOW spr round 11 (radius: 10)
[01:44:38 -70148.726846] SLOW spr round 12 (radius: 15)
[01:46:02 -70148.726843] SLOW spr round 13 (radius: 20)
[01:47:49 -70148.726842] SLOW spr round 14 (radius: 25)
[01:48:40] [worker #4] ML tree search #17, logLikelihood: -70139.096037
[01:49:42 -70114.746552] SLOW spr round 15 (radius: 5)
[01:51:10 -70111.686675] SLOW spr round 16 (radius: 5)
[01:52:19 -70111.686487] SLOW spr round 17 (radius: 10)
[01:53:20 -70110.814249] SLOW spr round 18 (radius: 5)
[01:54:05] [worker #1] ML tree search #20, logLikelihood: -70085.847368
[01:54:35 -70109.811620] SLOW spr round 19 (radius: 5)
[01:55:39 -70109.180292] SLOW spr round 20 (radius: 5)
[01:56:38 -70108.557358] SLOW spr round 21 (radius: 5)
[01:57:34 -70108.557180] SLOW spr round 22 (radius: 10)
[01:58:31 -70107.397130] SLOW spr round 23 (radius: 5)
[01:59:47 -70107.365369] SLOW spr round 24 (radius: 10)
[02:00:53 -70106.675502] SLOW spr round 25 (radius: 5)
[02:02:09 -70103.125198] SLOW spr round 26 (radius: 5)
[02:03:13 -70103.124011] SLOW spr round 27 (radius: 10)
[02:04:10 -70103.123910] SLOW spr round 28 (radius: 15)
[02:05:38 -70102.759203] SLOW spr round 29 (radius: 5)
[02:07:01 -70102.246617] SLOW spr round 30 (radius: 5)
[02:08:09 -70102.246328] SLOW spr round 31 (radius: 10)
[02:09:08 -70102.246315] SLOW spr round 32 (radius: 15)
[02:10:34 -70102.246314] SLOW spr round 33 (radius: 20)
[02:12:22 -70102.246314] SLOW spr round 34 (radius: 25)
[02:14:13 -70102.246314] Model parameter optimization (eps = 0.100000)

[02:14:20] [worker #0] ML tree search #19, logLikelihood: -70101.205534


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.152661,0.558750) (0.253887,0.552342) (0.321490,0.822415) (0.271962,1.875519) 
   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: -70085.847368

AIC score: 141857.694736 / AICc score: 1564841.694736 / BIC score: 144942.638244
Free parameters (model + branch lengths): 843

WARNING: Number of free parameters (K=843) is larger than alignment size (n=287).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NRG7/3_mltree/Q9NRG7.raxml.log

Analysis started: 03-Jul-2021 13:36:37 / finished: 03-Jul-2021 15:50:57

Elapsed time: 8060.752 seconds

Consumed energy: 747.890 Wh (= 4 km in an electric car, or 19 km with an e-scooter!)