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 19:55:53 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/2_msa/Q15904_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/3_mltree/Q15904 --seed 2 --threads 3 --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 (3 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/2_msa/Q15904_trimmed_msa.fasta
[00:00:00] Loaded alignment with 282 taxa and 146 sites

WARNING: Sequences tr_G3RCB2_G3RCB2_GORGO_9595 and sp_Q15904_VAS1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RCB2_G3RCB2_GORGO_9595 and tr_A9CB63_A9CB63_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3RCB2_G3RCB2_GORGO_9595 and tr_A0A2K5N9G0_A0A2K5N9G0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3RCB2_G3RCB2_GORGO_9595 and tr_A0A2K5XSN1_A0A2K5XSN1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_Q28ZI1_Q28ZI1_DROPS_46245 and tr_B4GHQ8_B4GHQ8_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A3B5QTU5_A0A3B5QTU5_XIPMA_8083 and tr_A0A087XK00_A0A087XK00_POEFO_48698 are exactly identical!
WARNING: Sequences tr_A0A3B5QTU5_A0A3B5QTU5_XIPMA_8083 and tr_A0A2I4BZF5_A0A2I4BZF5_9TELE_52670 are exactly identical!
WARNING: Sequences sp_Q52LC2_VAS1L_HUMAN_9606 and tr_A0A2R9BP73_A0A2R9BP73_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A151PIP8_A0A151PIP8_ALLMI_8496 and tr_A0A1U7SPM0_A0A1U7SPM0_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A1S3DR82_A0A1S3DR82_DIACI_121845 and tr_A0A1S4EBD2_A0A1S4EBD2_DIACI_121845 are exactly identical!
WARNING: Sequences tr_A0A1S3LHR4_A0A1S3LHR4_SALSA_8030 and tr_A0A060YN78_A0A060YN78_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A226N7A8_A0A226N7A8_CALSU_9009 and tr_A0A226NSX3_A0A226NSX3_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A226NTG2_A0A226NTG2_COLVI_9014 and tr_A0A226NU86_A0A226NU86_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2Y9MYY4_A0A2Y9MYY4_DELLE_9749 and tr_A0A384AE14_A0A384AE14_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 14

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/Q15904/3_mltree/Q15904.raxml.reduced.phy

Alignment comprises 1 partitions and 146 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 146 / 146
Gaps: 6.29 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/3_mltree/Q15904.raxml.rba

Parallelization scheme autoconfig: 3 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 282 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 146 / 11680
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -68405.749896] Initial branch length optimization
[00:00:00 -57036.233127] Model parameter optimization (eps = 10.000000)
[00:00:11 -56626.570257] AUTODETECT spr round 1 (radius: 5)
[00:00:23 -34627.707648] AUTODETECT spr round 2 (radius: 10)
[00:00:37 -28237.995920] AUTODETECT spr round 3 (radius: 15)
[00:00:56 -24941.352713] AUTODETECT spr round 4 (radius: 20)
[00:01:19 -24780.324113] AUTODETECT spr round 5 (radius: 25)
[00:01:40 -24690.290399] SPR radius for FAST iterations: 25 (autodetect)
[00:01:40 -24690.290399] Model parameter optimization (eps = 3.000000)
[00:01:50 -24648.157459] FAST spr round 1 (radius: 25)
[00:02:06 -22374.954662] FAST spr round 2 (radius: 25)
[00:02:20 -22276.000171] FAST spr round 3 (radius: 25)
[00:02:31 -22270.618303] FAST spr round 4 (radius: 25)
[00:02:41 -22270.581091] Model parameter optimization (eps = 1.000000)
[00:02:46 -22269.350655] SLOW spr round 1 (radius: 5)
[00:03:06 -22257.453478] SLOW spr round 2 (radius: 5)
[00:03:24 -22253.054868] SLOW spr round 3 (radius: 5)
[00:03:41 -22253.039688] SLOW spr round 4 (radius: 10)
[00:03:58 -22253.037257] SLOW spr round 5 (radius: 15)
[00:04:23 -22252.745423] SLOW spr round 6 (radius: 5)
[00:04:48 -22252.744599] SLOW spr round 7 (radius: 10)
[00:05:08 -22251.745857] SLOW spr round 8 (radius: 5)
[00:05:31 -22248.751457] SLOW spr round 9 (radius: 5)
[00:05:50 -22248.750558] SLOW spr round 10 (radius: 10)
[00:05:52] [worker #1] ML tree search #2, logLikelihood: -22249.594502
[00:06:07 -22248.750375] SLOW spr round 11 (radius: 15)
[00:06:33 -22248.750345] SLOW spr round 12 (radius: 20)
[00:07:09 -22248.750340] SLOW spr round 13 (radius: 25)
[00:07:32] [worker #2] ML tree search #3, logLikelihood: -22255.597590
[00:07:49 -22248.750340] Model parameter optimization (eps = 0.100000)

[00:07:54] [worker #0] ML tree search #1, logLikelihood: -22247.302932

[00:07:54 -68376.541075] Initial branch length optimization
[00:07:55 -57152.339746] Model parameter optimization (eps = 10.000000)
[00:08:03 -56818.057490] AUTODETECT spr round 1 (radius: 5)
[00:08:15 -33922.196010] AUTODETECT spr round 2 (radius: 10)
[00:08:29 -26612.296593] AUTODETECT spr round 3 (radius: 15)
[00:08:47 -24275.564665] AUTODETECT spr round 4 (radius: 20)
[00:09:12 -24037.929877] AUTODETECT spr round 5 (radius: 25)
[00:09:34 -24037.904445] SPR radius for FAST iterations: 20 (autodetect)
[00:09:34 -24037.904445] Model parameter optimization (eps = 3.000000)
[00:09:43 -23997.595723] FAST spr round 1 (radius: 20)
[00:09:57 -22360.869893] FAST spr round 2 (radius: 20)
[00:10:09 -22278.372573] FAST spr round 3 (radius: 20)
[00:10:19 -22270.908660] FAST spr round 4 (radius: 20)
[00:10:28 -22270.679383] FAST spr round 5 (radius: 20)
[00:10:37 -22270.679028] Model parameter optimization (eps = 1.000000)
[00:10:43 -22263.998489] SLOW spr round 1 (radius: 5)
[00:11:01 -22255.351220] SLOW spr round 2 (radius: 5)
[00:11:18 -22254.833137] SLOW spr round 3 (radius: 5)
[00:11:30] [worker #1] ML tree search #5, logLikelihood: -22253.081945
[00:11:33 -22254.833073] SLOW spr round 4 (radius: 10)
[00:11:49 -22254.833072] SLOW spr round 5 (radius: 15)
[00:12:14 -22254.833072] SLOW spr round 6 (radius: 20)
[00:12:46 -22254.833072] SLOW spr round 7 (radius: 25)
[00:13:17] [worker #2] ML tree search #6, logLikelihood: -22251.994311
[00:13:23 -22254.833072] Model parameter optimization (eps = 0.100000)

[00:13:27] [worker #0] ML tree search #4, logLikelihood: -22254.351408

[00:13:27 -68741.929142] Initial branch length optimization
[00:13:27 -57545.214103] Model parameter optimization (eps = 10.000000)
[00:13:37 -57118.611291] AUTODETECT spr round 1 (radius: 5)
[00:13:48 -33804.143821] AUTODETECT spr round 2 (radius: 10)
[00:14:03 -27011.087952] AUTODETECT spr round 3 (radius: 15)
[00:14:21 -25588.288924] AUTODETECT spr round 4 (radius: 20)
[00:14:43 -24457.440291] AUTODETECT spr round 5 (radius: 25)
[00:15:04 -24405.153704] SPR radius for FAST iterations: 25 (autodetect)
[00:15:04 -24405.153704] Model parameter optimization (eps = 3.000000)
[00:15:11 -24370.202707] FAST spr round 1 (radius: 25)
[00:15:27 -22530.603695] FAST spr round 2 (radius: 25)
[00:15:40 -22282.574367] FAST spr round 3 (radius: 25)
[00:15:50 -22264.415012] FAST spr round 4 (radius: 25)
[00:15:59 -22264.291001] FAST spr round 5 (radius: 25)
[00:16:09 -22263.884832] FAST spr round 6 (radius: 25)
[00:16:17 -22263.884584] Model parameter optimization (eps = 1.000000)
[00:16:21 -22261.250693] SLOW spr round 1 (radius: 5)
[00:16:38 -22253.262071] SLOW spr round 2 (radius: 5)
[00:16:46] [worker #1] ML tree search #8, logLikelihood: -22251.081645
[00:16:54 -22252.722402] SLOW spr round 3 (radius: 5)
[00:17:10 -22252.046024] SLOW spr round 4 (radius: 5)
[00:17:25 -22252.045834] SLOW spr round 5 (radius: 10)
[00:17:40 -22251.878138] SLOW spr round 6 (radius: 5)
[00:18:03 -22251.830852] SLOW spr round 7 (radius: 10)
[00:18:21 -22251.798795] SLOW spr round 8 (radius: 15)
[00:18:46 -22251.795808] SLOW spr round 9 (radius: 20)
[00:19:24 -22251.792909] SLOW spr round 10 (radius: 25)
[00:19:59 -22251.792505] Model parameter optimization (eps = 0.100000)

[00:20:02] [worker #0] ML tree search #7, logLikelihood: -22251.542562

[00:20:02 -68659.268272] Initial branch length optimization
[00:20:03 -57340.100831] Model parameter optimization (eps = 10.000000)
[00:20:14 -56906.804770] AUTODETECT spr round 1 (radius: 5)
[00:20:25 -34994.735532] AUTODETECT spr round 2 (radius: 10)
[00:20:40 -28809.455106] AUTODETECT spr round 3 (radius: 15)
[00:20:50] [worker #2] ML tree search #9, logLikelihood: -22252.761618
[00:20:57 -25493.711957] AUTODETECT spr round 4 (radius: 20)
[00:21:24 -25159.198611] AUTODETECT spr round 5 (radius: 25)
[00:21:52 -25158.946408] SPR radius for FAST iterations: 25 (autodetect)
[00:21:52 -25158.946408] Model parameter optimization (eps = 3.000000)
[00:21:59 -25133.598740] FAST spr round 1 (radius: 25)
[00:22:13 -22371.061222] FAST spr round 2 (radius: 25)
[00:22:26 -22274.108711] FAST spr round 3 (radius: 25)
[00:22:36 -22264.848246] FAST spr round 4 (radius: 25)
[00:22:46 -22262.056203] FAST spr round 5 (radius: 25)
[00:22:55 -22262.054978] Model parameter optimization (eps = 1.000000)
[00:22:58 -22260.213558] SLOW spr round 1 (radius: 5)
[00:23:15 -22254.542697] SLOW spr round 2 (radius: 5)
[00:23:23] [worker #1] ML tree search #11, logLikelihood: -22253.067991
[00:23:32 -22253.732965] SLOW spr round 3 (radius: 5)
[00:23:47 -22253.716947] SLOW spr round 4 (radius: 10)
[00:24:03 -22253.637739] SLOW spr round 5 (radius: 15)
[00:24:30 -22253.461297] SLOW spr round 6 (radius: 5)
[00:24:57 -22252.913854] SLOW spr round 7 (radius: 5)
[00:25:18 -22252.913837] SLOW spr round 8 (radius: 10)
[00:25:35 -22252.486346] SLOW spr round 9 (radius: 5)
[00:26:00 -22249.917607] SLOW spr round 10 (radius: 5)
[00:26:19 -22249.917538] SLOW spr round 11 (radius: 10)
[00:26:22] [worker #2] ML tree search #12, logLikelihood: -22245.423832
[00:26:36 -22249.917530] SLOW spr round 12 (radius: 15)
[00:27:05 -22249.917528] SLOW spr round 13 (radius: 20)
[00:27:43 -22249.917528] SLOW spr round 14 (radius: 25)
[00:28:22 -22249.917528] Model parameter optimization (eps = 0.100000)

[00:28:26] [worker #0] ML tree search #10, logLikelihood: -22249.619476

[00:28:26 -67479.304889] Initial branch length optimization
[00:28:26 -56644.613552] Model parameter optimization (eps = 10.000000)
[00:28:36 -56247.046243] AUTODETECT spr round 1 (radius: 5)
[00:28:48 -35821.150220] AUTODETECT spr round 2 (radius: 10)
[00:29:04 -27084.192591] AUTODETECT spr round 3 (radius: 15)
[00:29:22 -24964.965952] AUTODETECT spr round 4 (radius: 20)
[00:29:45 -24352.075385] AUTODETECT spr round 5 (radius: 25)
[00:30:08 -24224.760121] SPR radius for FAST iterations: 25 (autodetect)
[00:30:08 -24224.760121] Model parameter optimization (eps = 3.000000)
[00:30:16 -24189.471785] FAST spr round 1 (radius: 25)
[00:30:30 -22460.018184] FAST spr round 2 (radius: 25)
[00:30:44] [worker #1] ML tree search #14, logLikelihood: -22251.294332
[00:30:44 -22288.451738] FAST spr round 3 (radius: 25)
[00:30:56 -22273.787445] FAST spr round 4 (radius: 25)
[00:31:06 -22272.577333] FAST spr round 5 (radius: 25)
[00:31:16 -22271.972976] FAST spr round 6 (radius: 25)
[00:31:26 -22270.717693] FAST spr round 7 (radius: 25)
[00:31:36 -22268.028400] FAST spr round 8 (radius: 25)
[00:31:46 -22268.028104] Model parameter optimization (eps = 1.000000)
[00:31:50 -22260.128822] SLOW spr round 1 (radius: 5)
[00:32:08 -22255.236112] SLOW spr round 2 (radius: 5)
[00:32:25 -22252.632534] SLOW spr round 3 (radius: 5)
[00:32:41 -22252.632115] SLOW spr round 4 (radius: 10)
[00:32:57 -22252.632039] SLOW spr round 5 (radius: 15)
[00:33:18] [worker #2] ML tree search #15, logLikelihood: -22257.179625
[00:33:24 -22252.632021] SLOW spr round 6 (radius: 20)
[00:34:00 -22252.632017] SLOW spr round 7 (radius: 25)
[00:34:37 -22252.632016] Model parameter optimization (eps = 0.100000)

[00:34:41] [worker #0] ML tree search #13, logLikelihood: -22252.364823

[00:34:41 -68211.681082] Initial branch length optimization
[00:34:41 -56478.355865] Model parameter optimization (eps = 10.000000)
[00:34:55 -56088.151815] AUTODETECT spr round 1 (radius: 5)
[00:35:06 -35448.966427] AUTODETECT spr round 2 (radius: 10)
[00:35:21 -27333.967180] AUTODETECT spr round 3 (radius: 15)
[00:35:39 -25181.056830] AUTODETECT spr round 4 (radius: 20)
[00:35:57 -24852.785126] AUTODETECT spr round 5 (radius: 25)
[00:36:18 -24833.637664] SPR radius for FAST iterations: 25 (autodetect)
[00:36:18 -24833.637664] Model parameter optimization (eps = 3.000000)
[00:36:34 -24793.849811] FAST spr round 1 (radius: 25)
[00:36:51 -22379.619563] FAST spr round 2 (radius: 25)
[00:37:05 -22293.999616] FAST spr round 3 (radius: 25)
[00:37:16 -22279.760563] FAST spr round 4 (radius: 25)
[00:37:26 -22271.205651] FAST spr round 5 (radius: 25)
[00:37:35 -22271.205466] Model parameter optimization (eps = 1.000000)
[00:37:42 -22264.474679] SLOW spr round 1 (radius: 5)
[00:38:00 -22259.354491] SLOW spr round 2 (radius: 5)
[00:38:05] [worker #1] ML tree search #17, logLikelihood: -22254.008530
[00:38:17 -22258.064134] SLOW spr round 3 (radius: 5)
[00:38:33 -22258.063167] SLOW spr round 4 (radius: 10)
[00:38:48 -22257.587614] SLOW spr round 5 (radius: 5)
[00:39:11 -22257.330858] SLOW spr round 6 (radius: 5)
[00:39:29 -22257.330668] SLOW spr round 7 (radius: 10)
[00:39:45 -22257.330664] SLOW spr round 8 (radius: 15)
[00:40:09 -22257.330663] SLOW spr round 9 (radius: 20)
[00:40:17] [worker #2] ML tree search #18, logLikelihood: -22249.444643
[00:40:41 -22257.330663] SLOW spr round 10 (radius: 25)
[00:41:18 -22257.330662] Model parameter optimization (eps = 0.100000)

[00:41:19] [worker #0] ML tree search #16, logLikelihood: -22257.308399

[00:41:19 -67146.076592] Initial branch length optimization
[00:41:20 -55734.063502] Model parameter optimization (eps = 10.000000)
[00:41:29 -55334.218126] AUTODETECT spr round 1 (radius: 5)
[00:41:40 -35444.331969] AUTODETECT spr round 2 (radius: 10)
[00:41:55 -28190.631422] AUTODETECT spr round 3 (radius: 15)
[00:42:13 -25160.019092] AUTODETECT spr round 4 (radius: 20)
[00:42:32 -25097.683910] AUTODETECT spr round 5 (radius: 25)
[00:42:49 -25095.225900] SPR radius for FAST iterations: 25 (autodetect)
[00:42:49 -25095.225900] Model parameter optimization (eps = 3.000000)
[00:42:57 -25061.658404] FAST spr round 1 (radius: 25)
[00:43:12 -22452.101938] FAST spr round 2 (radius: 25)
[00:43:25 -22281.137615] FAST spr round 3 (radius: 25)
[00:43:35 -22277.969594] FAST spr round 4 (radius: 25)
[00:43:45 -22277.955905] Model parameter optimization (eps = 1.000000)
[00:43:49 -22272.858399] SLOW spr round 1 (radius: 5)
[00:43:56] [worker #1] ML tree search #20, logLikelihood: -22248.206784
[00:44:06 -22260.959993] SLOW spr round 2 (radius: 5)
[00:44:22 -22260.959269] SLOW spr round 3 (radius: 10)
[00:44:37 -22260.959188] SLOW spr round 4 (radius: 15)
[00:45:03 -22260.959165] SLOW spr round 5 (radius: 20)
[00:45:38 -22260.959158] SLOW spr round 6 (radius: 25)
[00:46:15 -22260.959156] Model parameter optimization (eps = 0.100000)

[00:46:17] [worker #0] ML tree search #19, logLikelihood: -22260.934869


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.163177,0.459109) (0.190954,0.620176) (0.381102,0.819958) (0.264766,1.866442) 
   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: -22245.423832

AIC score: 45624.847663 / AICc score: 689736.847663 / BIC score: 47316.552618
Free parameters (model + branch lengths): 567

WARNING: Number of free parameters (K=567) is larger than alignment size (n=146).
         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/Q15904/3_mltree/Q15904.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/3_mltree/Q15904.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/3_mltree/Q15904.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q15904/3_mltree/Q15904.raxml.log

Analysis started: 03-Jul-2021 19:55:53 / finished: 03-Jul-2021 20:42:10

Elapsed time: 2777.163 seconds

Consumed energy: 217.355 Wh (= 1 km in an electric car, or 5 km with an e-scooter!)