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 07-Jul-2021 11:53:28 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/2_msa/Q8N8W4_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/3_mltree/Q8N8W4 --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/Q8N8W4/2_msa/Q8N8W4_trimmed_msa.fasta
[00:00:00] Loaded alignment with 668 taxa and 237 sites

WARNING: Sequences tr_B4QK32_B4QK32_DROSI_7240 and tr_E1JI03_E1JI03_DROME_7227 are exactly identical!
WARNING: Sequences tr_B4QK32_B4QK32_DROSI_7240 and tr_B4HHT5_B4HHT5_DROSE_7238 are exactly identical!
WARNING: Sequences tr_B4QK32_B4QK32_DROSI_7240 and tr_A0A0R3P356_A0A0R3P356_DROPS_46245 are exactly identical!
WARNING: Sequences tr_B4QK32_B4QK32_DROSI_7240 and tr_B4NM22_B4NM22_DROWI_7260 are exactly identical!
WARNING: Sequences tr_B4R4Y0_B4R4Y0_DROSI_7240 and tr_Q9VXY8_Q9VXY8_DROME_7227 are exactly identical!
WARNING: Sequences tr_A0A1D6UPP6_A0A1D6UPP6_CHICK_9031 and tr_G1NA23_G1NA23_MELGA_9103 are exactly identical!
WARNING: Sequences tr_M3XY97_M3XY97_MUSPF_9669 and tr_A0A2Y9JZY0_A0A2Y9JZY0_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and tr_H2NCC5_H2NCC5_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and tr_H2Q2V9_H2Q2V9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and sp_Q96AD5_PLPL2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and tr_A0A096N487_A0A096N487_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and tr_A0A2K5LG67_A0A2K5LG67_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3R5F3_G3R5F3_GORGO_9595 and tr_A0A2K6CD24_A0A2K6CD24_MACNE_9545 are exactly identical!
WARNING: Sequences tr_Q29JC9_Q29JC9_DROPS_46245 and tr_B4H3N3_B4H3N3_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2RCP9_H2RCP9_PANTR_9598 and sp_Q8N8W4_PLPL1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2RCP9_H2RCP9_PANTR_9598 and tr_A0A2R9A7L4_A0A2R9A7L4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A3B5PVE7_A0A3B5PVE7_XIPMA_8083 and tr_M3ZLP8_M3ZLP8_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_A0A0K0J405_A0A0K0J405_BRUMA_6279 and tr_A0A0R3QM72_A0A0R3QM72_9BILA_42155 are exactly identical!
WARNING: Sequences tr_F6Z087_F6Z087_MACMU_9544 and tr_A0A0D9RCU6_A0A0D9RCU6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6Z087_F6Z087_MACMU_9544 and tr_A0A2K6CHJ5_A0A2K6CHJ5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6Z087_F6Z087_MACMU_9544 and tr_A0A2K5ZQH0_A0A2K5ZQH0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7E9K3_F7E9K3_MACMU_9544 and tr_G7Q263_G7Q263_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F4NV55_F4NV55_BATDJ_684364 and tr_A0A177WDX4_A0A177WDX4_BATDE_403673 are exactly identical!
WARNING: Sequences tr_H0YRM4_H0YRM4_TAEGU_59729 and tr_A0A218UJV1_A0A218UJV1_9PASE_299123 are exactly identical!
WARNING: Sequences tr_H0ZE01_H0ZE01_TAEGU_59729 and tr_A0A218UEX8_A0A218UEX8_9PASE_299123 are exactly identical!
WARNING: Sequences tr_H0ZHP0_H0ZHP0_TAEGU_59729 and tr_A0A218UZ17_A0A218UZ17_9PASE_299123 are exactly identical!
WARNING: Sequences tr_E3LWY2_E3LWY2_CAERE_31234 and tr_A0A261BF72_A0A261BF72_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_A8XW51_A8XW51_CAEBR_6238 and tr_A0A2G5UR96_A0A2G5UR96_9PELO_1611254 are exactly identical!
WARNING: Sequences tr_B3RJ99_B3RJ99_TRIAD_10228 and tr_A0A369RUB6_A0A369RUB6_9METZ_287889 are exactly identical!
WARNING: Sequences tr_G5E5T0_G5E5T0_BOVIN_9913 and sp_Q2KI18_PLPL2_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A151N744_A0A151N744_ALLMI_8496 and tr_A0A1U7RHR5_A0A1U7RHR5_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A194RFY7_A0A194RFY7_PAPMA_76193 and tr_A0A194Q677_A0A194Q677_PAPXU_66420 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V0X988_A0A0V0X988_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V0VL09_A0A0V0VL09_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V1KTE2_A0A0V1KTE2_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V0ZBE9_A0A0V0ZBE9_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V1NUJ9_A0A0V1NUJ9_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1CDU7_A0A0V1CDU7_TRIBR_45882 and tr_A0A0V0TFL5_A0A0V0TFL5_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1DBT8_A0A0V1DBT8_TRIBR_45882 and tr_A0A0V0WD79_A0A0V0WD79_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1DBT8_A0A0V1DBT8_TRIBR_45882 and tr_A0A0V0VFT0_A0A0V0VFT0_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1DBT8_A0A0V1DBT8_TRIBR_45882 and tr_A0A0V1KYJ8_A0A0V1KYJ8_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1DBT8_A0A0V1DBT8_TRIBR_45882 and tr_A0A0V1P9C2_A0A0V1P9C2_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1DBT8_A0A0V1DBT8_TRIBR_45882 and tr_A0A0V0UFU5_A0A0V0UFU5_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A1I7UXD8_A0A1I7UXD8_9PELO_1561998 and tr_A0A1I7UXD9_A0A1I7UXD9_9PELO_1561998 are exactly identical!
WARNING: Sequences tr_A0A1I7UXD8_A0A1I7UXD8_9PELO_1561998 and tr_A0A1I7UXE0_A0A1I7UXE0_9PELO_1561998 are exactly identical!
WARNING: Sequences tr_A0A1I7V6X7_A0A1I7V6X7_LOALO_7209 and tr_A0A1I7V6X9_A0A1I7V6X9_LOALO_7209 are exactly identical!
WARNING: Sequences tr_A0A1D1V6Q4_A0A1D1V6Q4_RAMVA_947166 and tr_A0A1D1V977_A0A1D1V977_RAMVA_947166 are exactly identical!
WARNING: Sequences tr_A0A226NI36_A0A226NI36_CALSU_9009 and tr_A0A226PWN2_A0A226PWN2_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0RJ48_A0A2D0RJ48_ICTPU_7998 and tr_A0A2D0RK85_A0A2D0RK85_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RJ48_A0A2D0RJ48_ICTPU_7998 and tr_A0A2D0RKU0_A0A2D0RKU0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5KNZ0_A0A2K5KNZ0_CERAT_9531 and tr_A0A2K5YQH5_A0A2K5YQH5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5NHE1_A0A2K5NHE1_CERAT_9531 and tr_A0A2K5YCF3_A0A2K5YCF3_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 52

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/Q8N8W4/3_mltree/Q8N8W4.raxml.reduced.phy

Alignment comprises 1 partitions and 237 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 237 / 237
Gaps: 6.04 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/3_mltree/Q8N8W4.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 668 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 237 / 18960
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -271257.155576] Initial branch length optimization
[00:00:04 -225904.511746] Model parameter optimization (eps = 10.000000)
[00:00:39 -225623.867884] AUTODETECT spr round 1 (radius: 5)
[00:02:22 -159913.947278] AUTODETECT spr round 2 (radius: 10)
[00:04:16 -120405.851553] AUTODETECT spr round 3 (radius: 15)
[00:06:26 -99153.962183] AUTODETECT spr round 4 (radius: 20)
[00:09:32 -92392.666011] AUTODETECT spr round 5 (radius: 25)
[00:12:36 -92176.962971] SPR radius for FAST iterations: 25 (autodetect)
[00:12:36 -92176.962971] Model parameter optimization (eps = 3.000000)
[00:13:11 -91943.168071] FAST spr round 1 (radius: 25)
[00:15:04 -84184.819364] FAST spr round 2 (radius: 25)
[00:16:33 -83694.058066] FAST spr round 3 (radius: 25)
[00:17:45 -83668.996488] FAST spr round 4 (radius: 25)
[00:18:49 -83664.110767] FAST spr round 5 (radius: 25)
[00:19:45 -83664.107031] Model parameter optimization (eps = 1.000000)
[00:19:58 -83661.762961] SLOW spr round 1 (radius: 5)
[00:21:25 -83632.389906] SLOW spr round 2 (radius: 5)
[00:22:48 -83629.394761] SLOW spr round 3 (radius: 5)
[00:24:09 -83629.394324] SLOW spr round 4 (radius: 10)
[00:25:34 -83628.985089] SLOW spr round 5 (radius: 5)
[00:27:19 -83628.583226] SLOW spr round 6 (radius: 5)
[00:28:50 -83628.583211] SLOW spr round 7 (radius: 10)
[00:30:15 -83628.583210] SLOW spr round 8 (radius: 15)
[00:32:30 -83628.583209] SLOW spr round 9 (radius: 20)
[00:36:00 -83628.583209] SLOW spr round 10 (radius: 25)
[00:40:16 -83628.583209] Model parameter optimization (eps = 0.100000)

[00:40:23] [worker #0] ML tree search #1, logLikelihood: -83628.473526

[00:40:23 -271140.465394] Initial branch length optimization
[00:40:26 -226144.395877] Model parameter optimization (eps = 10.000000)
[00:40:58 -225902.253972] AUTODETECT spr round 1 (radius: 5)
[00:42:20 -162792.740401] AUTODETECT spr round 2 (radius: 10)
[00:42:32] [worker #3] ML tree search #4, logLikelihood: -83639.904296
[00:43:53 -116841.413870] AUTODETECT spr round 3 (radius: 15)
[00:45:37 -99302.588075] AUTODETECT spr round 4 (radius: 20)
[00:45:38] [worker #4] ML tree search #5, logLikelihood: -83629.520344
[00:48:17 -93726.423126] AUTODETECT spr round 5 (radius: 25)
[00:49:45] [worker #2] ML tree search #3, logLikelihood: -83650.832490
[00:51:17 -92979.909219] SPR radius for FAST iterations: 25 (autodetect)
[00:51:17 -92979.909219] Model parameter optimization (eps = 3.000000)
[00:51:26] [worker #1] ML tree search #2, logLikelihood: -83646.565319
[00:51:41 -92819.020927] FAST spr round 1 (radius: 25)
[00:53:23 -84214.968490] FAST spr round 2 (radius: 25)
[00:54:42 -83792.697865] FAST spr round 3 (radius: 25)
[00:55:51 -83742.205822] FAST spr round 4 (radius: 25)
[00:56:56 -83735.737269] FAST spr round 5 (radius: 25)
[00:57:55 -83734.474631] FAST spr round 6 (radius: 25)
[00:58:51 -83734.474273] Model parameter optimization (eps = 1.000000)
[00:59:08 -83718.664724] SLOW spr round 1 (radius: 5)
[01:00:39 -83686.497733] SLOW spr round 2 (radius: 5)
[01:02:06 -83668.811893] SLOW spr round 3 (radius: 5)
[01:03:30 -83668.674461] SLOW spr round 4 (radius: 5)
[01:05:25 -83668.673598] SLOW spr round 5 (radius: 10)
[01:07:31 -83666.386490] SLOW spr round 6 (radius: 5)
[01:09:21 -83666.386451] SLOW spr round 7 (radius: 10)
[01:11:20 -83666.375437] SLOW spr round 8 (radius: 15)
[01:13:50 -83665.633012] SLOW spr round 9 (radius: 5)
[01:15:43 -83665.632816] SLOW spr round 10 (radius: 10)
[01:17:37 -83665.632811] SLOW spr round 11 (radius: 15)
[01:20:25 -83665.632810] SLOW spr round 12 (radius: 20)
[01:22:31] [worker #3] ML tree search #9, logLikelihood: -83648.681617
[01:24:50 -83665.632810] SLOW spr round 13 (radius: 25)
[01:30:10 -83665.632810] Model parameter optimization (eps = 0.100000)

[01:30:19] [worker #0] ML tree search #6, logLikelihood: -83665.451314

[01:30:19 -269995.141792] Initial branch length optimization
[01:30:25 -225618.913673] Model parameter optimization (eps = 10.000000)
[01:31:07 -225367.621905] AUTODETECT spr round 1 (radius: 5)
[01:32:56 -161587.257974] AUTODETECT spr round 2 (radius: 10)
[01:34:54 -119905.956402] AUTODETECT spr round 3 (radius: 15)
[01:37:11 -102376.913243] AUTODETECT spr round 4 (radius: 20)
[01:39:32] [worker #4] ML tree search #10, logLikelihood: -83627.035322
[01:39:46 -96719.010568] AUTODETECT spr round 5 (radius: 25)
[01:42:48 -95819.033005] SPR radius for FAST iterations: 25 (autodetect)
[01:42:48 -95819.033005] Model parameter optimization (eps = 3.000000)
[01:43:12 -95620.155464] FAST spr round 1 (radius: 25)
[01:45:25 -84376.840137] FAST spr round 2 (radius: 25)
[01:47:03 -83744.167706] FAST spr round 3 (radius: 25)
[01:48:29 -83690.300327] FAST spr round 4 (radius: 25)
[01:49:45 -83683.387345] FAST spr round 5 (radius: 25)
[01:50:57 -83681.482190] FAST spr round 6 (radius: 25)
[01:52:08 -83681.345436] FAST spr round 7 (radius: 25)
[01:53:19 -83681.344718] Model parameter optimization (eps = 1.000000)
[01:53:37 -83670.185239] SLOW spr round 1 (radius: 5)
[01:55:28 -83652.215544] SLOW spr round 2 (radius: 5)
[01:57:16 -83641.834863] SLOW spr round 3 (radius: 5)
[01:58:58 -83640.479581] SLOW spr round 4 (radius: 5)
[02:00:40 -83640.478928] SLOW spr round 5 (radius: 10)
[02:01:46] [worker #2] ML tree search #8, logLikelihood: -83624.864868
[02:02:24 -83638.918522] SLOW spr round 6 (radius: 5)
[02:04:39 -83638.073006] SLOW spr round 7 (radius: 5)
[02:06:38 -83636.997141] SLOW spr round 8 (radius: 5)
[02:08:29 -83636.625991] SLOW spr round 9 (radius: 5)
[02:10:13 -83634.462899] SLOW spr round 10 (radius: 5)
[02:11:41] [worker #3] ML tree search #14, logLikelihood: -83640.061136
[02:11:54 -83634.462879] SLOW spr round 11 (radius: 10)
[02:13:38 -83631.254054] SLOW spr round 12 (radius: 5)
[02:15:53 -83631.254051] SLOW spr round 13 (radius: 10)
[02:17:48 -83631.254051] SLOW spr round 14 (radius: 15)
[02:18:14] [worker #1] ML tree search #7, logLikelihood: -83639.694289
[02:20:30 -83631.254051] SLOW spr round 15 (radius: 20)
[02:24:55 -83631.254051] SLOW spr round 16 (radius: 25)
[02:30:28 -83631.254051] Model parameter optimization (eps = 0.100000)

[02:30:38] [worker #0] ML tree search #11, logLikelihood: -83631.150271

[02:30:38 -271957.074047] Initial branch length optimization
[02:30:41 -226374.471112] Model parameter optimization (eps = 10.000000)
[02:31:20 -226094.815430] AUTODETECT spr round 1 (radius: 5)
[02:33:05 -160697.429836] AUTODETECT spr round 2 (radius: 10)
[02:35:02 -121239.642512] AUTODETECT spr round 3 (radius: 15)
[02:37:13 -103526.878205] AUTODETECT spr round 4 (radius: 20)
[02:39:58 -96986.804705] AUTODETECT spr round 5 (radius: 25)
[02:43:10 -96601.454650] SPR radius for FAST iterations: 25 (autodetect)
[02:43:10 -96601.454650] Model parameter optimization (eps = 3.000000)
[02:43:33 -96460.176991] FAST spr round 1 (radius: 25)
[02:45:45 -84309.256205] FAST spr round 2 (radius: 25)
[02:47:28 -83786.298033] FAST spr round 3 (radius: 25)
[02:48:53 -83749.642308] FAST spr round 4 (radius: 25)
[02:50:08 -83745.647771] FAST spr round 5 (radius: 25)
[02:51:21 -83745.647085] Model parameter optimization (eps = 1.000000)
[02:51:39 -83724.701995] SLOW spr round 1 (radius: 5)
[02:53:36 -83686.675259] SLOW spr round 2 (radius: 5)
[02:55:24 -83680.688466] SLOW spr round 3 (radius: 5)
[02:56:24] [worker #4] ML tree search #15, logLikelihood: -83652.804373
[02:57:09 -83679.471821] SLOW spr round 4 (radius: 5)
[02:58:49 -83679.470063] SLOW spr round 5 (radius: 10)
[03:00:31 -83677.188776] SLOW spr round 6 (radius: 5)
[03:02:13] [worker #1] ML tree search #12, logLikelihood: -83631.171887
[03:02:49 -83674.280229] SLOW spr round 7 (radius: 5)
[03:03:34] [worker #2] ML tree search #13, logLikelihood: -83625.123668
[03:04:48 -83674.279965] SLOW spr round 8 (radius: 10)
[03:06:33 -83673.487707] SLOW spr round 9 (radius: 5)
[03:08:46 -83673.487698] SLOW spr round 10 (radius: 10)
[03:10:40 -83672.925040] SLOW spr round 11 (radius: 5)
[03:12:51 -83672.865938] SLOW spr round 12 (radius: 10)
[03:14:43 -83671.896376] SLOW spr round 13 (radius: 5)
[03:15:34] [worker #3] ML tree search #19, logLikelihood: -83657.092387
[03:16:58 -83671.853534] SLOW spr round 14 (radius: 10)
[03:18:51 -83671.853448] SLOW spr round 15 (radius: 15)
[03:21:33 -83671.296365] SLOW spr round 16 (radius: 5)
[03:23:55 -83670.933790] SLOW spr round 17 (radius: 5)
[03:25:55 -83670.928379] SLOW spr round 18 (radius: 10)
[03:27:39 -83670.927428] SLOW spr round 19 (radius: 15)
[03:30:23 -83670.927143] SLOW spr round 20 (radius: 20)
[03:34:20 -83670.927051] SLOW spr round 21 (radius: 25)
[03:39:26 -83670.927022] Model parameter optimization (eps = 0.100000)

[03:39:35] [worker #0] ML tree search #16, logLikelihood: -83670.432961

[03:42:51] [worker #4] ML tree search #20, logLikelihood: -83670.116339
[03:51:33] [worker #2] ML tree search #18, logLikelihood: -83668.848047
[03:56:27] [worker #1] ML tree search #17, logLikelihood: -83608.897186

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.231320,0.590989) (0.224817,0.767755) (0.392254,1.028690) (0.151608,1.894224) 
   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: -83608.897186

AIC score: 169895.794372 / AICc score: 3758415.794372 / BIC score: 174539.526901
Free parameters (model + branch lengths): 1339

WARNING: Number of free parameters (K=1339) is larger than alignment size (n=237).
         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/Q8N8W4/3_mltree/Q8N8W4.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/3_mltree/Q8N8W4.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/3_mltree/Q8N8W4.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N8W4/3_mltree/Q8N8W4.raxml.log

Analysis started: 07-Jul-2021 11:53:28 / finished: 07-Jul-2021 15:49:56

Elapsed time: 14187.798 seconds

Consumed energy: 1283.579 Wh (= 6 km in an electric car, or 32 km with an e-scooter!)