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 04-Jul-2021 17:16:24 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/2_msa/Q7RTR2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/3_mltree/Q7RTR2 --seed 2 --threads 5 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (5 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/2_msa/Q7RTR2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 225 sites

WARNING: Sequences tr_H2QAG9_H2QAG9_PANTR_9598 and tr_A0A2R9B4T4_A0A2R9B4T4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0E0HN88_A0A0E0HN88_ORYNI_4536 and tr_A0A0E0DZN6_A0A0E0DZN6_9ORYZ_40149 are exactly identical!
WARNING: Sequences tr_A0A0E0HN88_A0A0E0HN88_ORYNI_4536 and tr_A0A0E0PVK5_A0A0E0PVK5_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0HN88_A0A0E0HN88_ORYNI_4536 and tr_A0A0E0A7A7_A0A0E0A7A7_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0HN88_A0A0E0HN88_ORYNI_4536 and tr_A0A0P0WV17_A0A0P0WV17_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_I1Q124_I1Q124_ORYGL_4538 and tr_A0A0D3GEN8_A0A0D3GEN8_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3N419_G3N419_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3N4L3_G3N4L3_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3N5C3_G3N5C3_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3N5E6_G3N5E6_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3N9U8_G3N9U8_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3NAF4_G3NAF4_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3NAM1_G3NAM1_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3PB58_G3PB58_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N3Y7_G3N3Y7_GASAC_69293 and tr_G3PSW4_G3PSW4_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N4K8_G3N4K8_GASAC_69293 and tr_G3N8C4_G3N8C4_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N5D7_G3N5D7_GASAC_69293 and tr_G3N8B9_G3N8B9_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N5D7_G3N5D7_GASAC_69293 and tr_G3PSV4_G3PSV4_GASAC_69293 are exactly identical!
WARNING: Sequences tr_G3N7L2_G3N7L2_GASAC_69293 and tr_G3PGS6_G3PGS6_GASAC_69293 are exactly identical!
WARNING: Sequences tr_R1DD06_R1DD06_EMIHU_2903 and tr_R1EKP1_R1EKP1_EMIHU_2903 are exactly identical!
WARNING: Sequences tr_R1DD06_R1DD06_EMIHU_2903 and tr_R1F231_R1F231_EMIHU_2903 are exactly identical!
WARNING: Sequences tr_W2QLS3_W2QLS3_PHYPN_761204 and tr_A0A0W8DPD5_A0A0W8DPD5_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QLS3_W2QLS3_PHYPN_761204 and tr_W2LUG1_W2LUG1_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A3B6RG55_A0A3B6RG55_WHEAT_4565 and tr_A0A3B6TC74_A0A3B6TC74_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A067GSA7_A0A067GSA7_CITSI_2711 and tr_V4TEK8_V4TEK8_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A1S3ZTP8_A0A1S3ZTP8_TOBAC_4097 and tr_A0A1U7VZK5_A0A1U7VZK5_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3J7G8_A0A1S3J7G8_LINUN_7574 and tr_A0A1S3K5K9_A0A1S3K5K9_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3QC89_A0A1S3QC89_SALSA_8030 and tr_A0A1S3QWV4_A0A1S3QWV4_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A2D0RRJ6_A0A2D0RRJ6_ICTPU_7998 and tr_A0A2D0RSI0_A0A2D0RSI0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RRJ6_A0A2D0RRJ6_ICTPU_7998 and tr_A0A2D0RT38_A0A2D0RT38_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 30

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/Q7RTR2/3_mltree/Q7RTR2.raxml.reduced.phy

Alignment comprises 1 partitions and 225 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 225 / 225
Gaps: 11.43 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/3_mltree/Q7RTR2.raxml.rba

Parallelization scheme autoconfig: 5 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 225 / 18000
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -417738.974462] Initial branch length optimization
[00:00:05 -350168.991526] Model parameter optimization (eps = 10.000000)
[00:00:56 -348555.565101] AUTODETECT spr round 1 (radius: 5)
[00:04:26 -267794.940544] AUTODETECT spr round 2 (radius: 10)
[00:08:18 -222366.043226] AUTODETECT spr round 3 (radius: 15)
[00:12:33 -191191.588050] AUTODETECT spr round 4 (radius: 20)
[00:17:15 -176155.314135] AUTODETECT spr round 5 (radius: 25)
[00:22:26 -174035.041690] SPR radius for FAST iterations: 25 (autodetect)
[00:22:26 -174035.041690] Model parameter optimization (eps = 3.000000)
[00:22:33 -174032.098549] FAST spr round 1 (radius: 25)
[00:28:57 -161212.870783] FAST spr round 2 (radius: 25)
[00:33:45 -159597.889196] FAST spr round 3 (radius: 25)
[00:37:41 -159378.236573] FAST spr round 4 (radius: 25)
[00:41:10 -159325.424904] FAST spr round 5 (radius: 25)
[00:44:09 -159321.597386] FAST spr round 6 (radius: 25)
[00:46:59 -159321.597250] Model parameter optimization (eps = 1.000000)
[00:47:06 -159321.498214] SLOW spr round 1 (radius: 5)
[00:50:58 -159267.895139] SLOW spr round 2 (radius: 5)
[00:54:43 -159250.794476] SLOW spr round 3 (radius: 5)
[00:58:14 -159250.346498] SLOW spr round 4 (radius: 5)
[01:01:38 -159250.345625] SLOW spr round 5 (radius: 10)
[01:05:07 -159247.813853] SLOW spr round 6 (radius: 5)
[01:09:15 -159246.919366] SLOW spr round 7 (radius: 5)
[01:12:58 -159246.917414] SLOW spr round 8 (radius: 10)
[01:16:37 -159244.773228] SLOW spr round 9 (radius: 5)
[01:20:41 -159242.596638] SLOW spr round 10 (radius: 5)
[01:24:22 -159242.596317] SLOW spr round 11 (radius: 10)
[01:27:58 -159242.596290] SLOW spr round 12 (radius: 15)
[01:33:48 -159236.614683] SLOW spr round 13 (radius: 5)
[01:38:09 -159231.280908] SLOW spr round 14 (radius: 5)
[01:41:56 -159231.279952] SLOW spr round 15 (radius: 10)
[01:45:36 -159231.279889] SLOW spr round 16 (radius: 15)
[01:51:16 -159231.279883] SLOW spr round 17 (radius: 20)
[01:59:38 -159231.279881] SLOW spr round 18 (radius: 25)
[02:03:19] [worker #3] ML tree search #4, logLikelihood: -159170.170045
[02:09:59 -159231.279880] Model parameter optimization (eps = 0.100000)

[02:10:05] [worker #0] ML tree search #1, logLikelihood: -159231.271469

[02:10:05 -413971.470958] Initial branch length optimization
[02:10:12 -349026.917838] Model parameter optimization (eps = 10.000000)
[02:10:57 -347106.925406] AUTODETECT spr round 1 (radius: 5)
[02:14:25 -265661.886921] AUTODETECT spr round 2 (radius: 10)
[02:18:20 -220155.048904] AUTODETECT spr round 3 (radius: 15)
[02:22:28 -194670.408368] AUTODETECT spr round 4 (radius: 20)
[02:27:03 -185856.995138] AUTODETECT spr round 5 (radius: 25)
[02:33:03 -177698.388925] SPR radius for FAST iterations: 25 (autodetect)
[02:33:03 -177698.388925] Model parameter optimization (eps = 3.000000)
[02:33:40 -177128.517803] FAST spr round 1 (radius: 25)
[02:39:35 -160363.037607] FAST spr round 2 (radius: 25)
[02:43:56 -159157.595579] FAST spr round 3 (radius: 25)
[02:47:46 -158866.011429] FAST spr round 4 (radius: 25)
[02:51:02 -158833.017556] FAST spr round 5 (radius: 25)
[02:52:51] [worker #2] ML tree search #3, logLikelihood: -158750.350860
[02:54:02 -158816.030159] FAST spr round 6 (radius: 25)
[02:56:54 -158803.672359] FAST spr round 7 (radius: 25)
[02:59:39 -158797.873456] FAST spr round 8 (radius: 25)
[03:02:29 -158788.884692] FAST spr round 9 (radius: 25)
[03:05:14 -158786.088673] FAST spr round 10 (radius: 25)
[03:07:56 -158785.521106] FAST spr round 11 (radius: 25)
[03:08:47] [worker #4] ML tree search #5, logLikelihood: -159236.770326
[03:10:34 -158785.520996] Model parameter optimization (eps = 1.000000)
[03:10:57 -158780.370257] SLOW spr round 1 (radius: 5)
[03:12:49] [worker #1] ML tree search #2, logLikelihood: -159220.122856
[03:14:44 -158723.825465] SLOW spr round 2 (radius: 5)
[03:18:16 -158710.229291] SLOW spr round 3 (radius: 5)
[03:21:42 -158710.216573] SLOW spr round 4 (radius: 10)
[03:25:21 -158700.480352] SLOW spr round 5 (radius: 5)
[03:29:33 -158693.641603] SLOW spr round 6 (radius: 5)
[03:33:15 -158693.048291] SLOW spr round 7 (radius: 5)
[03:36:44 -158693.048259] SLOW spr round 8 (radius: 10)
[03:40:13 -158693.048256] SLOW spr round 9 (radius: 15)
[03:45:52 -158691.137675] SLOW spr round 10 (radius: 5)
[03:50:13 -158686.772625] SLOW spr round 11 (radius: 5)
[03:54:03 -158686.088337] SLOW spr round 12 (radius: 5)
[03:57:36 -158686.088306] SLOW spr round 13 (radius: 10)
[04:01:04 -158686.088303] SLOW spr round 14 (radius: 15)
[04:06:35 -158686.088300] SLOW spr round 15 (radius: 20)
[04:14:13 -158686.088297] SLOW spr round 16 (radius: 25)
[04:24:26 -158686.088295] Model parameter optimization (eps = 0.100000)

[04:24:41] [worker #0] ML tree search #6, logLikelihood: -158684.710077

[04:24:41 -416629.200218] Initial branch length optimization
[04:24:48 -351939.179325] Model parameter optimization (eps = 10.000000)
[04:25:48 -350087.636337] AUTODETECT spr round 1 (radius: 5)
[04:29:17 -264367.212791] AUTODETECT spr round 2 (radius: 10)
[04:33:08 -222513.024403] AUTODETECT spr round 3 (radius: 15)
[04:37:22 -195268.000742] AUTODETECT spr round 4 (radius: 20)
[04:42:08 -179832.423110] AUTODETECT spr round 5 (radius: 25)
[04:48:08 -175604.229569] SPR radius for FAST iterations: 25 (autodetect)
[04:48:08 -175604.229569] Model parameter optimization (eps = 3.000000)
[04:48:43 -175070.053247] FAST spr round 1 (radius: 25)
[04:55:00 -159915.086362] FAST spr round 2 (radius: 25)
[04:56:01] [worker #3] ML tree search #9, logLikelihood: -158730.411378
[04:59:37 -158974.165472] FAST spr round 3 (radius: 25)
[05:03:34 -158840.216266] FAST spr round 4 (radius: 25)
[05:06:58 -158832.279748] FAST spr round 5 (radius: 25)
[05:09:57 -158830.086102] FAST spr round 6 (radius: 25)
[05:12:49 -158829.237115] FAST spr round 7 (radius: 25)
[05:15:35 -158829.236243] Model parameter optimization (eps = 1.000000)
[05:15:42 -158829.190911] SLOW spr round 1 (radius: 5)
[05:16:34] [worker #4] ML tree search #10, logLikelihood: -159171.975765
[05:19:34 -158769.625348] SLOW spr round 2 (radius: 5)
[05:23:17 -158756.439384] SLOW spr round 3 (radius: 5)
[05:26:44 -158756.438096] SLOW spr round 4 (radius: 10)
[05:27:33] [worker #2] ML tree search #8, logLikelihood: -158789.769104
[05:30:23 -158751.878092] SLOW spr round 5 (radius: 5)
[05:34:41 -158742.401756] SLOW spr round 6 (radius: 5)
[05:38:34 -158732.248156] SLOW spr round 7 (radius: 5)
[05:42:13 -158731.394045] SLOW spr round 8 (radius: 5)
[05:45:42 -158731.392940] SLOW spr round 9 (radius: 10)
[05:49:15 -158728.302721] SLOW spr round 10 (radius: 5)
[05:53:22 -158727.729700] SLOW spr round 11 (radius: 5)
[05:57:05 -158727.729380] SLOW spr round 12 (radius: 10)
[06:00:42 -158727.729370] SLOW spr round 13 (radius: 15)
[06:06:31 -158719.400745] SLOW spr round 14 (radius: 5)
[06:10:50 -158719.106441] SLOW spr round 15 (radius: 5)
[06:14:44 -158719.105988] SLOW spr round 16 (radius: 10)
[06:18:26 -158719.105979] SLOW spr round 17 (radius: 15)
[06:24:04 -158719.105979] SLOW spr round 18 (radius: 20)
[06:32:47 -158718.824180] SLOW spr round 19 (radius: 5)
[06:37:08 -158718.823374] SLOW spr round 20 (radius: 10)
[06:38:22] [worker #1] ML tree search #7, logLikelihood: -159131.566905
[06:41:27 -158718.823347] SLOW spr round 21 (radius: 15)
[06:46:57 -158718.823345] SLOW spr round 22 (radius: 20)
[06:55:54 -158718.823345] SLOW spr round 23 (radius: 25)
[07:07:56 -158718.771127] Model parameter optimization (eps = 0.100000)

[07:08:23] [worker #0] ML tree search #11, logLikelihood: -158713.180593

[07:08:23 -415171.082323] Initial branch length optimization
[07:08:27 -350123.089139] Model parameter optimization (eps = 10.000000)
[07:09:21 -348451.132466] AUTODETECT spr round 1 (radius: 5)
[07:12:49 -263363.910352] AUTODETECT spr round 2 (radius: 10)
[07:16:38 -218928.148131] AUTODETECT spr round 3 (radius: 15)
[07:20:55 -192979.455048] AUTODETECT spr round 4 (radius: 20)
[07:25:39 -177888.639245] AUTODETECT spr round 5 (radius: 25)
[07:31:06 -173866.276572] SPR radius for FAST iterations: 25 (autodetect)
[07:31:06 -173866.276572] Model parameter optimization (eps = 3.000000)
[07:31:35 -173380.217327] FAST spr round 1 (radius: 25)
[07:38:07 -159795.315299] FAST spr round 2 (radius: 25)
[07:42:43 -159061.169322] FAST spr round 3 (radius: 25)
[07:46:29 -158977.671198] FAST spr round 4 (radius: 25)
[07:49:51 -158957.955575] FAST spr round 5 (radius: 25)
[07:50:44] [worker #4] ML tree search #15, logLikelihood: -158899.218780
[07:52:54 -158954.542066] FAST spr round 6 (radius: 25)
[07:55:42 -158954.541792] Model parameter optimization (eps = 1.000000)
[07:55:50 -158953.977405] SLOW spr round 1 (radius: 5)
[07:59:43 -158888.087859] SLOW spr round 2 (radius: 5)
[08:03:28 -158878.281186] SLOW spr round 3 (radius: 5)
[08:07:01 -158877.237920] SLOW spr round 4 (radius: 5)
[08:10:27 -158877.235301] SLOW spr round 5 (radius: 10)
[08:14:10 -158856.008950] SLOW spr round 6 (radius: 5)
[08:18:24 -158844.230773] SLOW spr round 7 (radius: 5)
[08:22:18 -158838.321380] SLOW spr round 8 (radius: 5)
[08:25:53 -158837.519738] SLOW spr round 9 (radius: 5)
[08:29:22 -158837.503112] SLOW spr round 10 (radius: 10)
[08:32:53 -158837.503094] SLOW spr round 11 (radius: 15)
[08:39:05 -158826.806241] SLOW spr round 12 (radius: 5)
[08:43:20 -158826.806235] SLOW spr round 13 (radius: 10)
[08:47:37 -158826.023631] SLOW spr round 14 (radius: 5)
[08:51:45 -158826.022159] SLOW spr round 15 (radius: 10)
[08:55:41 -158826.022156] SLOW spr round 16 (radius: 15)
[09:01:35 -158826.022154] SLOW spr round 17 (radius: 20)
[09:10:37 -158826.022152] SLOW spr round 18 (radius: 25)
[09:14:43] [worker #3] ML tree search #14, logLikelihood: -158747.951441
[09:16:52] [worker #2] ML tree search #13, logLikelihood: -158665.045643
[09:21:48 -158826.022149] Model parameter optimization (eps = 0.100000)

[09:21:54] [worker #0] ML tree search #16, logLikelihood: -158826.001718

[09:48:36] [worker #1] ML tree search #12, logLikelihood: -158669.970517
[09:55:44] [worker #4] ML tree search #20, logLikelihood: -159261.787799
[11:36:41] [worker #3] ML tree search #19, logLikelihood: -159218.052906
[11:39:41] [worker #2] ML tree search #18, logLikelihood: -159175.718735
[12:46:47] [worker #1] ML tree search #17, logLikelihood: -158780.682565

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.274840,1.028565) (0.169095,0.211050) (0.289162,1.070480) (0.266903,1.394063) 
   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: -158665.045643

AIC score: 321340.091285 / AICc score: 8365400.091285 / BIC score: 328189.372592
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=225).
         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/Q7RTR2/3_mltree/Q7RTR2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/3_mltree/Q7RTR2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/3_mltree/Q7RTR2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7RTR2/3_mltree/Q7RTR2.raxml.log

Analysis started: 04-Jul-2021 17:16:24 / finished: 05-Jul-2021 06:03:12

Elapsed time: 46007.895 seconds

Consumed energy: 3182.719 Wh (= 16 km in an electric car, or 80 km with an e-scooter!)