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 05-Jul-2021 10:40:31 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/2_msa/Q7Z7B1_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/3_mltree/Q7Z7B1 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/2_msa/Q7Z7B1_trimmed_msa.fasta
[00:00:00] Loaded alignment with 543 taxa and 510 sites

WARNING: Sequences tr_J3KB02_J3KB02_COCIM_246410 and tr_A0A0J6YFM5_A0A0J6YFM5_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B8MZI9_B8MZI9_ASPFN_332952 and sp_Q2UQH4_GWT1_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_B8MZI9_B8MZI9_ASPFN_332952 and tr_A0A1S9DU39_A0A1S9DU39_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_F9FXK6_F9FXK6_FUSOF_660025 and tr_X0CQ29_X0CQ29_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FXK6_F9FXK6_FUSOF_660025 and tr_A0A2H3SV74_A0A2H3SV74_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_H2RTR8_H2RTR8_TAKRU_31033 and tr_H2SVH5_H2SVH5_TAKRU_31033 are exactly identical!
WARNING: Sequences tr_G7XID7_G7XID7_ASPKW_1033177 and tr_A0A146FAA2_A0A146FAA2_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_F4NWA8_F4NWA8_BATDJ_684364 and tr_A0A177WHN6_A0A177WHN6_BATDE_403673 are exactly identical!
WARNING: Sequences tr_G2Y8N6_G2Y8N6_BOTF4_999810 and tr_M7TSE3_M7TSE3_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_A0A1U8KIL0_A0A1U8KIL0_GOSHI_3635 and tr_A0A1U8KLD8_A0A1U8KLD8_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A2D0Q862_A0A2D0Q862_ICTPU_7998 and tr_W5UB72_W5UB72_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2N5T3X3_A0A2N5T3X3_9BASI_200324 and tr_A0A2N5VXZ1_A0A2N5VXZ1_9BASI_200324 are exactly identical!
WARNING: Duplicate sequences found: 12

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/Q7Z7B1/3_mltree/Q7Z7B1.raxml.reduced.phy

Alignment comprises 1 partitions and 510 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 510 / 510
Gaps: 14.49 %
Invariant sites: 0.20 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/3_mltree/Q7Z7B1.raxml.rba

Parallelization scheme autoconfig: 3 worker(s) x 2 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 543 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 255 / 20400
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -458181.546207] Initial branch length optimization
[00:00:04 -377804.484508] Model parameter optimization (eps = 10.000000)
[00:00:42 -377005.546193] AUTODETECT spr round 1 (radius: 5)
[00:01:59 -302065.305570] AUTODETECT spr round 2 (radius: 10)
[00:03:31 -234071.274675] AUTODETECT spr round 3 (radius: 15)
[00:05:26 -208121.950314] AUTODETECT spr round 4 (radius: 20)
[00:07:43 -201886.319406] AUTODETECT spr round 5 (radius: 25)
[00:10:34 -201561.851995] SPR radius for FAST iterations: 25 (autodetect)
[00:10:34 -201561.851995] Model parameter optimization (eps = 3.000000)
[00:10:59 -201384.522716] FAST spr round 1 (radius: 25)
[00:13:06 -186489.892672] FAST spr round 2 (radius: 25)
[00:14:34 -186095.527994] FAST spr round 3 (radius: 25)
[00:15:49 -186053.287958] FAST spr round 4 (radius: 25)
[00:16:50 -186043.916981] FAST spr round 5 (radius: 25)
[00:17:45 -186043.916268] Model parameter optimization (eps = 1.000000)
[00:17:58 -186036.751356] SLOW spr round 1 (radius: 5)
[00:19:36 -185996.605872] SLOW spr round 2 (radius: 5)
[00:21:04 -185994.618087] SLOW spr round 3 (radius: 5)
[00:22:29 -185994.393237] SLOW spr round 4 (radius: 5)
[00:23:52 -185994.393194] SLOW spr round 5 (radius: 10)
[00:25:24 -185992.860542] SLOW spr round 6 (radius: 5)
[00:27:16 -185992.859534] SLOW spr round 7 (radius: 10)
[00:29:01 -185992.859496] SLOW spr round 8 (radius: 15)
[00:31:51 -185992.859494] SLOW spr round 9 (radius: 20)
[00:35:42] [worker #1] ML tree search #2, logLikelihood: -186003.273071
[00:36:02 -185992.859494] SLOW spr round 10 (radius: 25)
[00:36:11] [worker #2] ML tree search #3, logLikelihood: -186006.540220
[00:40:32 -185992.859494] Model parameter optimization (eps = 0.100000)

[00:40:41] [worker #0] ML tree search #1, logLikelihood: -185992.714626

[00:40:41 -458150.177449] Initial branch length optimization
[00:40:45 -376171.996686] Model parameter optimization (eps = 10.000000)
[00:41:19 -375512.158828] AUTODETECT spr round 1 (radius: 5)
[00:42:36 -303057.634297] AUTODETECT spr round 2 (radius: 10)
[00:44:04 -250167.585445] AUTODETECT spr round 3 (radius: 15)
[00:45:49 -211644.209487] AUTODETECT spr round 4 (radius: 20)
[00:47:53 -204604.017808] AUTODETECT spr round 5 (radius: 25)
[00:50:06 -203925.773745] SPR radius for FAST iterations: 25 (autodetect)
[00:50:06 -203925.773745] Model parameter optimization (eps = 3.000000)
[00:50:28 -203682.940951] FAST spr round 1 (radius: 25)
[00:52:19 -186503.912763] FAST spr round 2 (radius: 25)
[00:53:44 -186112.468009] FAST spr round 3 (radius: 25)
[00:54:55 -186052.800027] FAST spr round 4 (radius: 25)
[00:55:57 -186046.331857] FAST spr round 5 (radius: 25)
[00:56:53 -186046.331768] Model parameter optimization (eps = 1.000000)
[00:57:04 -186040.967711] SLOW spr round 1 (radius: 5)
[00:58:39 -186007.218823] SLOW spr round 2 (radius: 5)
[01:00:09 -186002.654025] SLOW spr round 3 (radius: 5)
[01:01:36 -186000.500155] SLOW spr round 4 (radius: 5)
[01:03:00 -186000.499427] SLOW spr round 5 (radius: 10)
[01:04:30 -186000.499278] SLOW spr round 6 (radius: 15)
[01:07:23 -186000.499234] SLOW spr round 7 (radius: 20)
[01:11:22 -186000.499221] SLOW spr round 8 (radius: 25)
[01:13:57] [worker #1] ML tree search #5, logLikelihood: -185991.502612
[01:15:41 -186000.499216] Model parameter optimization (eps = 0.100000)

[01:15:53] [worker #0] ML tree search #4, logLikelihood: -185999.462282

[01:15:54 -458240.322552] Initial branch length optimization
[01:15:58 -377467.810787] Model parameter optimization (eps = 10.000000)
[01:16:50 -376807.717943] AUTODETECT spr round 1 (radius: 5)
[01:18:07 -301907.895705] AUTODETECT spr round 2 (radius: 10)
[01:19:39 -242839.247732] AUTODETECT spr round 3 (radius: 15)
[01:21:33 -205332.476167] AUTODETECT spr round 4 (radius: 20)
[01:22:26] [worker #2] ML tree search #6, logLikelihood: -185995.597242
[01:23:43 -203377.778265] AUTODETECT spr round 5 (radius: 25)
[01:26:10 -202885.517406] SPR radius for FAST iterations: 25 (autodetect)
[01:26:10 -202885.517406] Model parameter optimization (eps = 3.000000)
[01:26:30 -202678.784431] FAST spr round 1 (radius: 25)
[01:28:29 -186901.639565] FAST spr round 2 (radius: 25)
[01:29:58 -186115.041681] FAST spr round 3 (radius: 25)
[01:31:10 -186071.333089] FAST spr round 4 (radius: 25)
[01:32:13 -186064.175233] FAST spr round 5 (radius: 25)
[01:33:09 -186063.168693] FAST spr round 6 (radius: 25)
[01:34:03 -186063.168236] Model parameter optimization (eps = 1.000000)
[01:34:19 -186049.366934] SLOW spr round 1 (radius: 5)
[01:35:54 -186018.202351] SLOW spr round 2 (radius: 5)
[01:37:25 -186007.931420] SLOW spr round 3 (radius: 5)
[01:38:53 -186003.718834] SLOW spr round 4 (radius: 5)
[01:40:18 -186002.130950] SLOW spr round 5 (radius: 5)
[01:41:40 -186002.130943] SLOW spr round 6 (radius: 10)
[01:43:10 -186002.130943] SLOW spr round 7 (radius: 15)
[01:46:13 -185997.881272] SLOW spr round 8 (radius: 5)
[01:48:12 -185997.666204] SLOW spr round 9 (radius: 5)
[01:48:57] [worker #1] ML tree search #8, logLikelihood: -186000.798236
[01:49:52 -185997.664757] SLOW spr round 10 (radius: 10)
[01:51:27 -185997.440197] SLOW spr round 11 (radius: 5)
[01:53:19 -185997.439242] SLOW spr round 12 (radius: 10)
[01:55:00 -185997.439207] SLOW spr round 13 (radius: 15)
[01:57:45 -185997.439206] SLOW spr round 14 (radius: 20)
[02:01:50 -185997.439206] SLOW spr round 15 (radius: 25)
[02:06:11 -185997.439206] Model parameter optimization (eps = 0.100000)

[02:06:21] [worker #0] ML tree search #7, logLikelihood: -185996.912089

[02:06:21 -456611.441433] Initial branch length optimization
[02:06:26 -378715.696250] Model parameter optimization (eps = 10.000000)
[02:07:04 -377947.516408] AUTODETECT spr round 1 (radius: 5)
[02:08:21 -304972.680017] AUTODETECT spr round 2 (radius: 10)
[02:08:38] [worker #2] ML tree search #9, logLikelihood: -186000.382559
[02:09:50 -247753.844489] AUTODETECT spr round 3 (radius: 15)
[02:11:34 -213536.904512] AUTODETECT spr round 4 (radius: 20)
[02:13:45 -206190.297572] AUTODETECT spr round 5 (radius: 25)
[02:16:12 -205373.465462] SPR radius for FAST iterations: 25 (autodetect)
[02:16:12 -205373.465462] Model parameter optimization (eps = 3.000000)
[02:16:36 -205135.454530] FAST spr round 1 (radius: 25)
[02:18:31 -186898.941405] FAST spr round 2 (radius: 25)
[02:19:59 -186136.917510] FAST spr round 3 (radius: 25)
[02:21:16 -186065.696173] FAST spr round 4 (radius: 25)
[02:22:22 -186048.711251] FAST spr round 5 (radius: 25)
[02:23:17 -186048.710830] Model parameter optimization (eps = 1.000000)
[02:23:30 -186043.580093] SLOW spr round 1 (radius: 5)
[02:25:06 -186009.913529] SLOW spr round 2 (radius: 5)
[02:26:33 -186008.045009] SLOW spr round 3 (radius: 5)
[02:27:57 -186008.044999] SLOW spr round 4 (radius: 10)
[02:29:27 -186008.044999] SLOW spr round 5 (radius: 15)
[02:30:23] [worker #1] ML tree search #11, logLikelihood: -185989.872125
[02:32:33 -186005.162664] SLOW spr round 6 (radius: 5)
[02:34:34 -186003.664064] SLOW spr round 7 (radius: 5)
[02:36:15 -186003.663515] SLOW spr round 8 (radius: 10)
[02:37:52 -186002.954851] SLOW spr round 9 (radius: 5)
[02:39:49 -185999.564123] SLOW spr round 10 (radius: 5)
[02:41:26 -185999.562911] SLOW spr round 11 (radius: 10)
[02:43:02 -185999.562057] SLOW spr round 12 (radius: 15)
[02:46:01 -185999.561446] SLOW spr round 13 (radius: 20)
[02:47:40] [worker #2] ML tree search #12, logLikelihood: -186018.443685
[02:50:24 -185999.561006] SLOW spr round 14 (radius: 25)
[02:54:57 -185999.560688] Model parameter optimization (eps = 0.100000)

[02:55:06] [worker #0] ML tree search #10, logLikelihood: -185999.340933

[02:55:06 -451708.146063] Initial branch length optimization
[02:55:10 -377324.438158] Model parameter optimization (eps = 10.000000)
[02:55:43 -376561.128621] AUTODETECT spr round 1 (radius: 5)
[02:57:01 -294040.760585] AUTODETECT spr round 2 (radius: 10)
[02:58:36 -226997.122936] AUTODETECT spr round 3 (radius: 15)
[03:00:28 -200682.130312] AUTODETECT spr round 4 (radius: 20)
[03:02:39 -199369.383173] AUTODETECT spr round 5 (radius: 25)
[03:05:04 -199261.525897] SPR radius for FAST iterations: 25 (autodetect)
[03:05:04 -199261.525897] Model parameter optimization (eps = 3.000000)
[03:05:25 -199096.632220] FAST spr round 1 (radius: 25)
[03:07:14 -186789.946695] FAST spr round 2 (radius: 25)
[03:07:50] [worker #1] ML tree search #14, logLikelihood: -185994.759183
[03:08:38 -186115.073196] FAST spr round 3 (radius: 25)
[03:09:48 -186076.201618] FAST spr round 4 (radius: 25)
[03:10:47 -186074.084100] FAST spr round 5 (radius: 25)
[03:11:43 -186073.374589] FAST spr round 6 (radius: 25)
[03:12:38 -186073.374589] Model parameter optimization (eps = 1.000000)
[03:12:51 -186066.076690] SLOW spr round 1 (radius: 5)
[03:14:27 -186011.383709] SLOW spr round 2 (radius: 5)
[03:16:00 -186000.558981] SLOW spr round 3 (radius: 5)
[03:17:26 -185999.794242] SLOW spr round 4 (radius: 5)
[03:18:50 -185999.793947] SLOW spr round 5 (radius: 10)
[03:20:22 -185997.922686] SLOW spr round 6 (radius: 5)
[03:21:32] [worker #2] ML tree search #15, logLikelihood: -185991.847396
[03:22:15 -185997.922621] SLOW spr round 7 (radius: 10)
[03:23:58 -185997.922617] SLOW spr round 8 (radius: 15)
[03:26:47 -185995.243244] SLOW spr round 9 (radius: 5)
[03:28:45 -185995.242306] SLOW spr round 10 (radius: 10)
[03:30:34 -185995.242264] SLOW spr round 11 (radius: 15)
[03:33:19 -185995.242261] SLOW spr round 12 (radius: 20)
[03:37:27 -185995.242261] SLOW spr round 13 (radius: 25)
[03:41:53 -185995.242261] Model parameter optimization (eps = 0.100000)

[03:42:04] [worker #0] ML tree search #13, logLikelihood: -185994.424511

[03:42:04 -454053.066032] Initial branch length optimization
[03:42:08 -374162.850149] Model parameter optimization (eps = 10.000000)
[03:42:42 -373460.886236] AUTODETECT spr round 1 (radius: 5)
[03:43:58 -304543.716940] AUTODETECT spr round 2 (radius: 10)
[03:45:29 -239554.488726] AUTODETECT spr round 3 (radius: 15)
[03:47:14 -210409.453738] AUTODETECT spr round 4 (radius: 20)
[03:49:17 -204679.257207] AUTODETECT spr round 5 (radius: 25)
[03:51:31 -204567.977828] SPR radius for FAST iterations: 25 (autodetect)
[03:51:31 -204567.977828] Model parameter optimization (eps = 3.000000)
[03:51:52 -204363.558453] FAST spr round 1 (radius: 25)
[03:53:47 -186915.141655] FAST spr round 2 (radius: 25)
[03:54:48] [worker #1] ML tree search #17, logLikelihood: -186002.386813
[03:55:10 -186121.067063] FAST spr round 3 (radius: 25)
[03:55:41] [worker #2] ML tree search #18, logLikelihood: -186001.169847
[03:56:18 -186081.980888] FAST spr round 4 (radius: 25)
[03:57:16 -186079.997240] FAST spr round 5 (radius: 25)
[03:58:11 -186079.997091] Model parameter optimization (eps = 1.000000)
[03:58:26 -186065.141908] SLOW spr round 1 (radius: 5)
[04:00:02 -186019.707766] SLOW spr round 2 (radius: 5)
[04:01:32 -186007.024493] SLOW spr round 3 (radius: 5)
[04:02:57 -186006.194308] SLOW spr round 4 (radius: 5)
[04:04:21 -186006.194196] SLOW spr round 5 (radius: 10)
[04:05:52 -186004.609157] SLOW spr round 6 (radius: 5)
[04:07:45 -186004.609107] SLOW spr round 7 (radius: 10)
[04:09:28 -186004.609105] SLOW spr round 8 (radius: 15)
[04:12:17 -186001.205487] SLOW spr round 9 (radius: 5)
[04:14:16 -186001.204082] SLOW spr round 10 (radius: 10)
[04:16:04 -186001.204024] SLOW spr round 11 (radius: 15)
[04:18:51 -186001.204021] SLOW spr round 12 (radius: 20)
[04:23:00 -186001.204020] SLOW spr round 13 (radius: 25)
[04:27:23 -186001.204020] Model parameter optimization (eps = 0.100000)

[04:27:36] [worker #0] ML tree search #16, logLikelihood: -186000.492080

[04:27:36 -455989.715991] Initial branch length optimization
[04:27:40 -375190.158765] Model parameter optimization (eps = 10.000000)
[04:28:16 -374523.314982] AUTODETECT spr round 1 (radius: 5)
[04:29:32 -302235.103604] AUTODETECT spr round 2 (radius: 10)
[04:29:54] [worker #1] ML tree search #20, logLikelihood: -186007.062285
[04:31:02 -239196.334724] AUTODETECT spr round 3 (radius: 15)
[04:32:44 -210553.248572] AUTODETECT spr round 4 (radius: 20)
[04:34:40 -205673.632719] AUTODETECT spr round 5 (radius: 25)
[04:36:34 -204941.931198] SPR radius for FAST iterations: 25 (autodetect)
[04:36:34 -204941.931198] Model parameter optimization (eps = 3.000000)
[04:36:57 -204725.411812] FAST spr round 1 (radius: 25)
[04:38:51 -186622.961239] FAST spr round 2 (radius: 25)
[04:40:18 -186116.603559] FAST spr round 3 (radius: 25)
[04:41:30 -186052.325417] FAST spr round 4 (radius: 25)
[04:42:33 -186043.082226] FAST spr round 5 (radius: 25)
[04:43:28 -186042.712933] FAST spr round 6 (radius: 25)
[04:44:21 -186042.712213] Model parameter optimization (eps = 1.000000)
[04:44:35 -186030.115433] SLOW spr round 1 (radius: 5)
[04:46:09 -186004.805437] SLOW spr round 2 (radius: 5)
[04:47:37 -185999.059957] SLOW spr round 3 (radius: 5)
[04:49:00 -185999.054124] SLOW spr round 4 (radius: 10)
[04:50:29 -185998.505791] SLOW spr round 5 (radius: 5)
[04:52:25 -185995.107060] SLOW spr round 6 (radius: 5)
[04:54:01 -185995.103228] SLOW spr round 7 (radius: 10)
[04:55:35 -185995.102993] SLOW spr round 8 (radius: 15)
[04:58:28 -185995.102979] SLOW spr round 9 (radius: 20)
[05:02:37 -185995.102978] SLOW spr round 10 (radius: 25)
[05:06:59 -185995.102978] Model parameter optimization (eps = 0.100000)

[05:07:11] [worker #0] ML tree search #19, logLikelihood: -185994.842604


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.192290,0.400405) (0.306675,0.584390) (0.319465,1.231076) (0.181570,1.930401) 
   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: -185989.872125

AIC score: 374157.744251 / AICc score: 2748177.744251 / BIC score: 378769.017531
Free parameters (model + branch lengths): 1089

WARNING: Number of free parameters (K=1089) is larger than alignment size (n=510).
         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/Q7Z7B1/3_mltree/Q7Z7B1.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/3_mltree/Q7Z7B1.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/3_mltree/Q7Z7B1.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q7Z7B1/3_mltree/Q7Z7B1.raxml.log

Analysis started: 05-Jul-2021 10:40:31 / finished: 05-Jul-2021 15:47:43

Elapsed time: 18432.138 seconds