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 05-Jul-2021 21:36:41 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/2_msa/O00421_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/3_mltree/O00421 --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/O00421/2_msa/O00421_trimmed_msa.fasta
[00:00:00] Loaded alignment with 746 taxa and 385 sites

WARNING: Sequences tr_G3RC17_G3RC17_GORGO_9595 and tr_H2QM91_H2QM91_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RC17_G3RC17_GORGO_9595 and sp_P51679_CCR4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RC17_G3RC17_GORGO_9595 and tr_A0A2R8ZA62_A0A2R8ZA62_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3S0Y6_G3S0Y6_GORGO_9595 and tr_H2R8C2_H2R8C2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3SLL0_A0A2I3SLL0_PANTR_9598 and tr_A0A2R8ZPK3_A0A2R8ZPK3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RCA7_H2RCA7_PANTR_9598 and tr_A0A2R9AZT7_A0A2R9AZT7_PANPA_9597 are exactly identical!
WARNING: Sequences sp_P56440_CCR5_PANTR_9598 and tr_A0A2R8Z804_A0A2R8Z804_PANPA_9597 are exactly identical!
WARNING: Sequences sp_P56440_CCR5_PANTR_9598 and sp_P60574_CCR5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QNH5_A0A1D5QNH5_MACMU_9544 and tr_A0A2K6BMC9_A0A2K6BMC9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6QJR2_F6QJR2_MACMU_9544 and tr_G7NY36_G7NY36_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6U6G8_F6U6G8_MACMU_9544 and tr_G7NYJ2_G7NYJ2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GUA3_F7GUA3_MACMU_9544 and tr_G7NYB7_G7NYB7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GUA3_F7GUA3_MACMU_9544 and tr_A0A096NRU6_A0A096NRU6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GUA3_F7GUA3_MACMU_9544 and tr_A0A0D9SC57_A0A0D9SC57_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7GUA3_F7GUA3_MACMU_9544 and tr_G9IT94_G9IT94_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7GUA3_F7GUA3_MACMU_9544 and tr_A0A2K6AVR0_A0A2K6AVR0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HFU0_F7HFU0_MACMU_9544 and tr_G7NY37_G7NY37_MACFA_9541 are exactly identical!
WARNING: Sequences sp_P61813_CCR5_MACMU_9544 and tr_G7NY33_G7NY33_MACFA_9541 are exactly identical!
WARNING: Sequences sp_P61813_CCR5_MACMU_9544 and sp_P61815_CCR5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2D0RJV6_A0A2D0RJV6_ICTPU_7998 and tr_A0A2D0RJW6_A0A2D0RJW6_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 20

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/O00421/3_mltree/O00421.raxml.reduced.phy

Alignment comprises 1 partitions and 385 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 385 / 385
Gaps: 11.68 %
Invariant sites: 0.26 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/3_mltree/O00421.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 746 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 193 / 15440
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -479485.593409] Initial branch length optimization
[00:00:03 -409836.270276] Model parameter optimization (eps = 10.000000)
[00:00:35 -407580.127613] AUTODETECT spr round 1 (radius: 5)
[00:02:14 -289999.712391] AUTODETECT spr round 2 (radius: 10)
[00:04:11 -210963.773936] AUTODETECT spr round 3 (radius: 15)
[00:06:12 -182684.826758] AUTODETECT spr round 4 (radius: 20)
[00:08:36 -169555.692381] AUTODETECT spr round 5 (radius: 25)
[00:11:19 -168220.885583] SPR radius for FAST iterations: 25 (autodetect)
[00:11:19 -168220.885583] Model parameter optimization (eps = 3.000000)
[00:11:39 -168150.090476] FAST spr round 1 (radius: 25)
[00:13:25 -148392.821015] FAST spr round 2 (radius: 25)
[00:14:35 -147435.042374] FAST spr round 3 (radius: 25)
[00:15:44 -147361.902356] FAST spr round 4 (radius: 25)
[00:16:45 -147358.034008] FAST spr round 5 (radius: 25)
[00:17:45 -147358.033693] Model parameter optimization (eps = 1.000000)
[00:17:56 -147345.023435] SLOW spr round 1 (radius: 5)
[00:19:36 -147310.170402] SLOW spr round 2 (radius: 5)
[00:21:15 -147305.089449] SLOW spr round 3 (radius: 5)
[00:22:48 -147303.442570] SLOW spr round 4 (radius: 5)
[00:24:19 -147303.442540] SLOW spr round 5 (radius: 10)
[00:25:54 -147300.496496] SLOW spr round 6 (radius: 5)
[00:28:01 -147299.454119] SLOW spr round 7 (radius: 5)
[00:29:43 -147299.454103] SLOW spr round 8 (radius: 10)
[00:31:17 -147299.454103] SLOW spr round 9 (radius: 15)
[00:34:08 -147299.454103] SLOW spr round 10 (radius: 20)
[00:39:32 -147299.454103] SLOW spr round 11 (radius: 25)
[00:43:04] [worker #2] ML tree search #3, logLikelihood: -147309.996509
[00:46:02 -147299.454103] Model parameter optimization (eps = 0.100000)

[00:46:10] [worker #0] ML tree search #1, logLikelihood: -147299.204029

[00:46:10 -484459.617100] Initial branch length optimization
[00:46:14 -411567.050123] Model parameter optimization (eps = 10.000000)
[00:46:49 -409237.420388] AUTODETECT spr round 1 (radius: 5)
[00:48:29 -310093.930979] AUTODETECT spr round 2 (radius: 10)
[00:50:17] [worker #1] ML tree search #2, logLikelihood: -147300.900881
[00:50:32 -213902.723332] AUTODETECT spr round 3 (radius: 15)
[00:52:29 -177616.711396] AUTODETECT spr round 4 (radius: 20)
[00:55:34 -169939.935365] AUTODETECT spr round 5 (radius: 25)
[00:59:35 -169902.092655] SPR radius for FAST iterations: 25 (autodetect)
[00:59:36 -169902.092655] Model parameter optimization (eps = 3.000000)
[00:59:53 -169774.598542] FAST spr round 1 (radius: 25)
[01:01:44 -148216.166074] FAST spr round 2 (radius: 25)
[01:03:08 -147431.704345] FAST spr round 3 (radius: 25)
[01:04:21 -147384.443650] FAST spr round 4 (radius: 25)
[01:05:25 -147376.944238] FAST spr round 5 (radius: 25)
[01:06:26 -147376.943051] Model parameter optimization (eps = 1.000000)
[01:06:37 -147369.249831] SLOW spr round 1 (radius: 5)
[01:08:15 -147328.423730] SLOW spr round 2 (radius: 5)
[01:09:44 -147325.504658] SLOW spr round 3 (radius: 5)
[01:11:10 -147323.645945] SLOW spr round 4 (radius: 5)
[01:12:35 -147321.692427] SLOW spr round 5 (radius: 5)
[01:14:00 -147321.692404] SLOW spr round 6 (radius: 10)
[01:15:28 -147314.519532] SLOW spr round 7 (radius: 5)
[01:17:27 -147307.963831] SLOW spr round 8 (radius: 5)
[01:19:12 -147307.963617] SLOW spr round 9 (radius: 10)
[01:20:48 -147306.289925] SLOW spr round 10 (radius: 5)
[01:22:09] [worker #2] ML tree search #6, logLikelihood: -147317.127829
[01:22:55 -147304.836755] SLOW spr round 11 (radius: 5)
[01:24:35 -147304.836728] SLOW spr round 12 (radius: 10)
[01:26:03 -147304.836723] SLOW spr round 13 (radius: 15)
[01:28:40 -147304.836721] SLOW spr round 14 (radius: 20)
[01:34:00 -147304.836721] SLOW spr round 15 (radius: 25)
[01:38:07] [worker #1] ML tree search #5, logLikelihood: -147317.156994
[01:40:53 -147304.836721] Model parameter optimization (eps = 0.100000)

[01:41:02] [worker #0] ML tree search #4, logLikelihood: -147304.248287

[01:41:03 -484142.894967] Initial branch length optimization
[01:41:06 -413120.518577] Model parameter optimization (eps = 10.000000)
[01:41:37 -410896.855283] AUTODETECT spr round 1 (radius: 5)
[01:43:09 -305004.527252] AUTODETECT spr round 2 (radius: 10)
[01:45:07 -215982.690784] AUTODETECT spr round 3 (radius: 15)
[01:46:57 -182868.170410] AUTODETECT spr round 4 (radius: 20)
[01:49:34 -171213.725331] AUTODETECT spr round 5 (radius: 25)
[01:52:47 -169018.647849] SPR radius for FAST iterations: 25 (autodetect)
[01:52:47 -169018.647849] Model parameter optimization (eps = 3.000000)
[01:53:06 -168932.083497] FAST spr round 1 (radius: 25)
[01:54:50 -148261.259873] FAST spr round 2 (radius: 25)
[01:56:09 -147469.155546] FAST spr round 3 (radius: 25)
[01:57:17 -147401.886830] FAST spr round 4 (radius: 25)
[01:58:18 -147398.095876] FAST spr round 5 (radius: 25)
[01:59:19 -147398.095867] Model parameter optimization (eps = 1.000000)
[01:59:31 -147376.971485] SLOW spr round 1 (radius: 5)
[02:01:06 -147327.077597] SLOW spr round 2 (radius: 5)
[02:02:46 -147315.462840] SLOW spr round 3 (radius: 5)
[02:04:19 -147315.462558] SLOW spr round 4 (radius: 10)
[02:04:32] [worker #2] ML tree search #9, logLikelihood: -147331.465672
[02:05:53 -147311.065004] SLOW spr round 5 (radius: 5)
[02:07:50 -147309.128115] SLOW spr round 6 (radius: 5)
[02:09:28 -147309.128059] SLOW spr round 7 (radius: 10)
[02:10:57 -147309.128059] SLOW spr round 8 (radius: 15)
[02:13:34 -147309.128059] SLOW spr round 9 (radius: 20)
[02:18:50 -147309.128059] SLOW spr round 10 (radius: 25)
[02:25:36 -147309.128059] Model parameter optimization (eps = 0.100000)

[02:25:42] [worker #0] ML tree search #7, logLikelihood: -147308.846158

[02:25:42 -483246.365854] Initial branch length optimization
[02:25:48 -412721.443273] Model parameter optimization (eps = 10.000000)
[02:26:05] [worker #1] ML tree search #8, logLikelihood: -147310.005387
[02:26:20 -410297.677905] AUTODETECT spr round 1 (radius: 5)
[02:27:52 -298073.697921] AUTODETECT spr round 2 (radius: 10)
[02:29:42 -208137.876664] AUTODETECT spr round 3 (radius: 15)
[02:31:36 -180370.692479] AUTODETECT spr round 4 (radius: 20)
[02:34:36 -168683.022014] AUTODETECT spr round 5 (radius: 25)
[02:38:48 -167187.642024] SPR radius for FAST iterations: 25 (autodetect)
[02:38:48 -167187.642024] Model parameter optimization (eps = 3.000000)
[02:39:10 -167024.674932] FAST spr round 1 (radius: 25)
[02:41:03 -148158.005736] FAST spr round 2 (radius: 25)
[02:42:22 -147409.909164] FAST spr round 3 (radius: 25)
[02:43:28 -147394.318090] FAST spr round 4 (radius: 25)
[02:44:35 -147386.582026] FAST spr round 5 (radius: 25)
[02:45:35 -147386.581949] Model parameter optimization (eps = 1.000000)
[02:45:40] [worker #2] ML tree search #12, logLikelihood: -147313.355483
[02:45:50 -147358.842039] SLOW spr round 1 (radius: 5)
[02:47:30 -147307.844708] SLOW spr round 2 (radius: 5)
[02:48:59 -147306.604037] SLOW spr round 3 (radius: 5)
[02:50:25 -147306.603695] SLOW spr round 4 (radius: 10)
[02:51:54 -147303.880666] SLOW spr round 5 (radius: 5)
[02:53:51 -147303.372896] SLOW spr round 6 (radius: 5)
[02:55:30 -147303.372854] SLOW spr round 7 (radius: 10)
[02:57:05 -147303.372854] SLOW spr round 8 (radius: 15)
[02:59:58 -147303.372854] SLOW spr round 9 (radius: 20)
[03:05:30 -147303.372854] SLOW spr round 10 (radius: 25)
[03:09:52] [worker #1] ML tree search #11, logLikelihood: -147302.337660
[03:12:16 -147303.372854] Model parameter optimization (eps = 0.100000)

[03:12:21] [worker #0] ML tree search #10, logLikelihood: -147303.254243

[03:12:21 -483753.215400] Initial branch length optimization
[03:12:24 -412027.122651] Model parameter optimization (eps = 10.000000)
[03:12:52 -409638.017848] AUTODETECT spr round 1 (radius: 5)
[03:14:26 -298580.823231] AUTODETECT spr round 2 (radius: 10)
[03:16:16 -209905.025777] AUTODETECT spr round 3 (radius: 15)
[03:18:18 -176258.124894] AUTODETECT spr round 4 (radius: 20)
[03:21:26 -168197.737274] AUTODETECT spr round 5 (radius: 25)
[03:25:32 -167902.605823] SPR radius for FAST iterations: 25 (autodetect)
[03:25:32 -167902.605823] Model parameter optimization (eps = 3.000000)
[03:25:48 -167804.831157] FAST spr round 1 (radius: 25)
[03:27:32 -148440.050789] FAST spr round 2 (radius: 25)
[03:28:12] [worker #2] ML tree search #15, logLikelihood: -147319.896333
[03:28:53 -147498.029989] FAST spr round 3 (radius: 25)
[03:30:03 -147402.218128] FAST spr round 4 (radius: 25)
[03:31:05 -147396.835540] FAST spr round 5 (radius: 25)
[03:32:05 -147396.835539] Model parameter optimization (eps = 1.000000)
[03:32:19 -147372.949920] SLOW spr round 1 (radius: 5)
[03:34:03 -147334.502430] SLOW spr round 2 (radius: 5)
[03:35:37 -147320.493471] SLOW spr round 3 (radius: 5)
[03:37:04 -147314.996877] SLOW spr round 4 (radius: 5)
[03:38:30 -147312.198970] SLOW spr round 5 (radius: 5)
[03:39:56 -147312.198863] SLOW spr round 6 (radius: 10)
[03:41:24 -147312.198861] SLOW spr round 7 (radius: 15)
[03:44:13 -147312.198861] SLOW spr round 8 (radius: 20)
[03:49:43 -147312.198861] SLOW spr round 9 (radius: 25)
[03:50:21] [worker #1] ML tree search #14, logLikelihood: -147294.792552
[03:56:48 -147312.198861] Model parameter optimization (eps = 0.100000)

[03:56:57] [worker #0] ML tree search #13, logLikelihood: -147311.415421

[03:56:57 -483234.206636] Initial branch length optimization
[03:57:01 -411324.065723] Model parameter optimization (eps = 10.000000)
[03:57:37 -408950.310581] AUTODETECT spr round 1 (radius: 5)
[03:59:17 -300723.118931] AUTODETECT spr round 2 (radius: 10)
[04:01:16 -211356.878404] AUTODETECT spr round 3 (radius: 15)
[04:03:16 -180209.684572] AUTODETECT spr round 4 (radius: 20)
[04:05:33 -172022.916556] AUTODETECT spr round 5 (radius: 25)
[04:08:32] [worker #2] ML tree search #18, logLikelihood: -147311.876837
[04:08:44 -167153.692485] SPR radius for FAST iterations: 25 (autodetect)
[04:08:44 -167153.692485] Model parameter optimization (eps = 3.000000)
[04:09:01 -167091.380763] FAST spr round 1 (radius: 25)
[04:10:36 -148134.273555] FAST spr round 2 (radius: 25)
[04:11:55 -147427.680298] FAST spr round 3 (radius: 25)
[04:13:09 -147390.332076] FAST spr round 4 (radius: 25)
[04:14:11 -147384.949829] FAST spr round 5 (radius: 25)
[04:15:11 -147384.949757] Model parameter optimization (eps = 1.000000)
[04:15:28 -147366.489408] SLOW spr round 1 (radius: 5)
[04:17:02 -147326.189852] SLOW spr round 2 (radius: 5)
[04:18:28 -147326.189523] SLOW spr round 3 (radius: 10)
[04:19:55 -147324.330571] SLOW spr round 4 (radius: 5)
[04:21:53 -147323.678811] SLOW spr round 5 (radius: 5)
[04:23:31 -147323.678789] SLOW spr round 6 (radius: 10)
[04:25:00 -147323.678789] SLOW spr round 7 (radius: 15)
[04:27:46 -147323.678789] SLOW spr round 8 (radius: 20)
[04:33:40 -147323.678789] SLOW spr round 9 (radius: 25)
[04:40:16 -147323.678789] Model parameter optimization (eps = 0.100000)

[04:40:20] [worker #0] ML tree search #16, logLikelihood: -147323.672407

[04:40:20 -484638.228668] Initial branch length optimization
[04:40:24 -412853.758392] Model parameter optimization (eps = 10.000000)
[04:40:55 -410576.139612] AUTODETECT spr round 1 (radius: 5)
[04:41:58] [worker #1] ML tree search #17, logLikelihood: -147309.865319
[04:42:28 -308309.756882] AUTODETECT spr round 2 (radius: 10)
[04:44:21 -221380.138316] AUTODETECT spr round 3 (radius: 15)
[04:46:24 -196672.927015] AUTODETECT spr round 4 (radius: 20)
[04:49:20 -174894.477660] AUTODETECT spr round 5 (radius: 25)
[04:52:41 -174126.346202] SPR radius for FAST iterations: 25 (autodetect)
[04:52:41 -174126.346202] Model parameter optimization (eps = 3.000000)
[04:52:59 -173981.461090] FAST spr round 1 (radius: 25)
[04:54:54 -148642.469119] FAST spr round 2 (radius: 25)
[04:56:20 -147404.159181] FAST spr round 3 (radius: 25)
[04:57:32 -147341.836080] FAST spr round 4 (radius: 25)
[04:58:34 -147339.391305] FAST spr round 5 (radius: 25)
[04:59:34 -147339.391284] Model parameter optimization (eps = 1.000000)
[04:59:49 -147329.942196] SLOW spr round 1 (radius: 5)
[05:01:32 -147313.696376] SLOW spr round 2 (radius: 5)
[05:03:08 -147310.196005] SLOW spr round 3 (radius: 5)
[05:04:42 -147310.195949] SLOW spr round 4 (radius: 10)
[05:06:15 -147305.053028] SLOW spr round 5 (radius: 5)
[05:08:20 -147302.633064] SLOW spr round 6 (radius: 5)
[05:10:01 -147302.632907] SLOW spr round 7 (radius: 10)
[05:11:30 -147301.333099] SLOW spr round 8 (radius: 5)
[05:13:29 -147299.895135] SLOW spr round 9 (radius: 5)
[05:15:08 -147299.895103] SLOW spr round 10 (radius: 10)
[05:16:38 -147299.895103] SLOW spr round 11 (radius: 15)
[05:19:26 -147299.895103] SLOW spr round 12 (radius: 20)
[05:25:25 -147299.895103] SLOW spr round 13 (radius: 25)
[05:29:01] [worker #1] ML tree search #20, logLikelihood: -147316.647819
[05:32:05 -147299.895103] Model parameter optimization (eps = 0.100000)

[05:32:14] [worker #0] ML tree search #19, logLikelihood: -147298.623520


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.181198,0.419835) (0.184786,0.488611) (0.397624,0.918247) (0.236392,1.981966) 
   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: -147294.792552

AIC score: 297579.585104 / AICc score: 4770619.585104 / BIC score: 303489.683889
Free parameters (model + branch lengths): 1495

WARNING: Number of free parameters (K=1495) is larger than alignment size (n=385).
         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/O00421/3_mltree/O00421.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/3_mltree/O00421.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/3_mltree/O00421.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00421/3_mltree/O00421.raxml.log

Analysis started: 05-Jul-2021 21:36:41 / finished: 06-Jul-2021 03:08:55

Elapsed time: 19934.438 seconds

Consumed energy: 1666.999 Wh (= 8 km in an electric car, or 42 km with an e-scooter!)