RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 19-Jul-2021 01:45:48 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/2_msa/Q8N695_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695 --seed 2 --threads 6 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (6 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/2_msa/Q8N695_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 504 sites

WARNING: Sequences tr_B5DX93_B5DX93_DROPS_46245 and tr_B4GLN6_B4GLN6_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2Q3B6_H2Q3B6_PANTR_9598 and tr_A0A2R8ZA67_A0A2R8ZA67_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q6P8_H2Q6P8_PANTR_9598 and tr_A0A2R9BLW4_A0A2R9BLW4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QFS1_H2QFS1_PANTR_9598 and tr_A0A2R8ZYY1_A0A2R8ZYY1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NDK2_A0A158NDK2_ATTCE_12957 and tr_A0A195BP29_A0A195BP29_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NRN4_A0A158NRN4_ATTCE_12957 and tr_F4X3J0_F4X3J0_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NRN4_A0A158NRN4_ATTCE_12957 and tr_A0A195EY23_A0A195EY23_9HYME_34720 are exactly identical!
WARNING: Sequences tr_F6PWF2_F6PWF2_MACMU_9544 and tr_G7PLV3_G7PLV3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6PWF2_F6PWF2_MACMU_9544 and tr_A0A2K6DR82_A0A2K6DR82_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6UL62_F6UL62_MACMU_9544 and tr_G7PJA6_G7PJA6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6UL62_F6UL62_MACMU_9544 and tr_A0A2K6E886_A0A2K6E886_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6UL62_F6UL62_MACMU_9544 and tr_A0A2K5XKM8_A0A2K5XKM8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A1S3HKT1_A0A1S3HKT1_LINUN_7574 and tr_A0A1S3I3J8_A0A1S3I3J8_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A2K5MCW8_A0A2K5MCW8_CERAT_9531 and tr_A0A2K5YR65_A0A2K5YR65_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 14

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.reduced.phy

Alignment comprises 1 partitions and 504 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 504 / 504
Gaps: 4.35 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 252 / 20160
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -919284.310323] Initial branch length optimization
[00:00:07 -774593.387038] Model parameter optimization (eps = 10.000000)
[00:01:55 -769980.759343] AUTODETECT spr round 1 (radius: 5)
[00:05:48 -601287.857960] AUTODETECT spr round 2 (radius: 10)
[00:10:18 -446785.591859] AUTODETECT spr round 3 (radius: 15)
[00:15:00 -387983.660916] AUTODETECT spr round 4 (radius: 20)
[00:21:09 -369456.538004] AUTODETECT spr round 5 (radius: 25)
[00:28:20 -363838.398523] SPR radius for FAST iterations: 25 (autodetect)
[00:28:20 -363838.398523] Model parameter optimization (eps = 3.000000)
[00:28:34 -363831.779549] FAST spr round 1 (radius: 25)
[00:34:34 -330304.719111] FAST spr round 2 (radius: 25)
[00:38:39 -329314.217982] FAST spr round 3 (radius: 25)
[00:42:12 -329183.830322] FAST spr round 4 (radius: 25)
[00:45:13 -329140.702348] FAST spr round 5 (radius: 25)
[00:47:53 -329140.702339] Model parameter optimization (eps = 1.000000)
[00:48:49 -328359.080369] SLOW spr round 1 (radius: 5)
[00:52:53 -328197.690347] SLOW spr round 2 (radius: 5)
[00:56:34 -328179.894959] SLOW spr round 3 (radius: 5)
[01:00:02 -328176.763794] SLOW spr round 4 (radius: 5)
[01:03:25 -328176.763768] SLOW spr round 5 (radius: 10)
[01:07:03 -328176.564212] SLOW spr round 6 (radius: 5)
[01:11:35 -328176.564198] SLOW spr round 7 (radius: 10)
[01:15:49 -328176.564198] SLOW spr round 8 (radius: 15)
[01:22:50 -328176.564198] SLOW spr round 9 (radius: 20)
[01:35:20 -328176.564198] SLOW spr round 10 (radius: 25)
[01:44:59] [worker #1] ML tree search #2, logLikelihood: -328167.872206
[01:50:43 -328176.564198] Model parameter optimization (eps = 0.100000)

[01:51:08] [worker #0] ML tree search #1, logLikelihood: -328172.689520

[01:51:08 -924602.216958] Initial branch length optimization
[01:51:16 -776178.207046] Model parameter optimization (eps = 10.000000)
[01:52:46 -771502.716492] AUTODETECT spr round 1 (radius: 5)
[01:56:42 -607039.067109] AUTODETECT spr round 2 (radius: 10)
[02:01:10 -449596.770661] AUTODETECT spr round 3 (radius: 15)
[02:05:44 -400126.552394] AUTODETECT spr round 4 (radius: 20)
[02:11:18 -378804.075682] AUTODETECT spr round 5 (radius: 25)
[02:18:30 -372100.655889] SPR radius for FAST iterations: 25 (autodetect)
[02:18:30 -372100.655889] Model parameter optimization (eps = 3.000000)
[02:19:15 -371189.949184] FAST spr round 1 (radius: 25)
[02:25:06] [worker #2] ML tree search #3, logLikelihood: -328182.390445
[02:25:37 -330021.036193] FAST spr round 2 (radius: 25)
[02:29:51 -328414.300611] FAST spr round 3 (radius: 25)
[02:33:13 -328284.118955] FAST spr round 4 (radius: 25)
[02:36:07 -328270.489806] FAST spr round 5 (radius: 25)
[02:38:51 -328265.876981] FAST spr round 6 (radius: 25)
[02:41:28 -328265.875384] Model parameter optimization (eps = 1.000000)
[02:41:43 -328258.972183] SLOW spr round 1 (radius: 5)
[02:45:35 -328191.020984] SLOW spr round 2 (radius: 5)
[02:49:09 -328181.351745] SLOW spr round 3 (radius: 5)
[02:52:38 -328173.105033] SLOW spr round 4 (radius: 5)
[02:56:03 -328171.556862] SLOW spr round 5 (radius: 5)
[02:59:26 -328171.556794] SLOW spr round 6 (radius: 10)
[03:03:06 -328171.556794] SLOW spr round 7 (radius: 15)
[03:11:18 -328171.556794] SLOW spr round 8 (radius: 20)
[03:19:41] [worker #1] ML tree search #5, logLikelihood: -328170.507984
[03:23:09 -328171.556794] SLOW spr round 9 (radius: 25)
[03:38:57 -328171.556794] Model parameter optimization (eps = 0.100000)

[03:39:08] [worker #0] ML tree search #4, logLikelihood: -328171.168319

[03:39:08 -918093.740651] Initial branch length optimization
[03:39:15 -772692.470146] Model parameter optimization (eps = 10.000000)
[03:41:00 -768065.533205] AUTODETECT spr round 1 (radius: 5)
[03:44:56 -607875.538016] AUTODETECT spr round 2 (radius: 10)
[03:49:21 -461826.544627] AUTODETECT spr round 3 (radius: 15)
[03:54:07 -384444.286200] AUTODETECT spr round 4 (radius: 20)
[03:59:38 -370642.232514] AUTODETECT spr round 5 (radius: 25)
[04:06:49 -366487.227467] SPR radius for FAST iterations: 25 (autodetect)
[04:06:49 -366487.227467] Model parameter optimization (eps = 3.000000)
[04:07:41 -365500.590482] FAST spr round 1 (radius: 25)
[04:13:53 -330279.744572] FAST spr round 2 (radius: 25)
[04:18:05 -328371.215478] FAST spr round 3 (radius: 25)
[04:21:27 -328256.214397] FAST spr round 4 (radius: 25)
[04:24:17 -328250.082772] FAST spr round 5 (radius: 25)
[04:26:57 -328250.082653] Model parameter optimization (eps = 1.000000)
[04:27:21 -328230.334614] SLOW spr round 1 (radius: 5)
[04:31:14 -328163.944992] SLOW spr round 2 (radius: 5)
[04:34:47 -328160.737932] SLOW spr round 3 (radius: 5)
[04:38:13 -328160.737781] SLOW spr round 4 (radius: 10)
[04:41:51 -328160.737780] SLOW spr round 5 (radius: 15)
[04:50:00 -328160.737780] SLOW spr round 6 (radius: 20)
[04:50:05] [worker #2] ML tree search #6, logLikelihood: -328174.544244
[04:59:45] [worker #1] ML tree search #8, logLikelihood: -329122.019119
[05:01:42 -328160.737780] SLOW spr round 7 (radius: 25)
[05:17:21 -328160.737780] Model parameter optimization (eps = 0.100000)

[05:17:29] [worker #0] ML tree search #7, logLikelihood: -328160.717073

[05:17:29 -919435.061798] Initial branch length optimization
[05:17:36 -774458.254410] Model parameter optimization (eps = 10.000000)
[05:19:02 -769804.436878] AUTODETECT spr round 1 (radius: 5)
[05:23:00 -610489.832853] AUTODETECT spr round 2 (radius: 10)
[05:27:28 -449516.122470] AUTODETECT spr round 3 (radius: 15)
[05:32:27 -375821.566127] AUTODETECT spr round 4 (radius: 20)
[05:38:09 -367430.878052] AUTODETECT spr round 5 (radius: 25)
[05:45:20 -363628.370601] SPR radius for FAST iterations: 25 (autodetect)
[05:45:20 -363628.370601] Model parameter optimization (eps = 3.000000)
[05:46:06 -362704.920807] FAST spr round 1 (radius: 25)
[05:52:04 -329803.933437] FAST spr round 2 (radius: 25)
[05:56:13 -328405.922522] FAST spr round 3 (radius: 25)
[05:59:46 -328302.666404] FAST spr round 4 (radius: 25)
[06:02:50 -328269.451682] FAST spr round 5 (radius: 25)
[06:05:41 -328253.111929] FAST spr round 6 (radius: 25)
[06:08:17 -328253.087152] Model parameter optimization (eps = 1.000000)
[06:08:36 -328246.604982] SLOW spr round 1 (radius: 5)
[06:12:30 -328201.210265] SLOW spr round 2 (radius: 5)
[06:16:02 -328196.967786] SLOW spr round 3 (radius: 5)
[06:19:28 -328196.134905] SLOW spr round 4 (radius: 5)
[06:22:51 -328196.134883] SLOW spr round 5 (radius: 10)
[06:26:30 -328196.134883] SLOW spr round 6 (radius: 15)
[06:34:17] [worker #2] ML tree search #9, logLikelihood: -329068.123824
[06:34:35 -328196.134883] SLOW spr round 7 (radius: 20)
[06:44:37] [worker #1] ML tree search #11, logLikelihood: -328166.124963
[06:46:34 -328196.134883] SLOW spr round 8 (radius: 25)
[07:02:38 -328183.921247] SLOW spr round 9 (radius: 5)
[07:07:31 -328183.443645] SLOW spr round 10 (radius: 5)
[07:11:42 -328183.405529] SLOW spr round 11 (radius: 10)
[07:15:39 -328183.405480] SLOW spr round 12 (radius: 15)
[07:23:05 -328183.405480] SLOW spr round 13 (radius: 20)
[07:35:26 -328183.405480] SLOW spr round 14 (radius: 25)
[07:51:16 -328183.405480] Model parameter optimization (eps = 0.100000)

[07:51:24] [worker #0] ML tree search #10, logLikelihood: -328183.386747

[07:51:25 -921369.561575] Initial branch length optimization
[07:51:31 -773872.641099] Model parameter optimization (eps = 10.000000)
[07:52:47 -769196.790315] AUTODETECT spr round 1 (radius: 5)
[07:56:42 -617668.348727] AUTODETECT spr round 2 (radius: 10)
[08:01:14 -468090.333178] AUTODETECT spr round 3 (radius: 15)
[08:06:02 -376416.152508] AUTODETECT spr round 4 (radius: 20)
[08:11:44] [worker #2] ML tree search #12, logLikelihood: -329115.129231
[08:12:06 -359133.897430] AUTODETECT spr round 5 (radius: 25)
[08:18:55 -358007.389026] SPR radius for FAST iterations: 25 (autodetect)
[08:18:55 -358007.389026] Model parameter optimization (eps = 3.000000)
[08:19:39 -356914.182466] FAST spr round 1 (radius: 25)
[08:20:20] [worker #1] ML tree search #14, logLikelihood: -328183.559366
[08:25:26 -329428.743190] FAST spr round 2 (radius: 25)
[08:29:38 -328379.960645] FAST spr round 3 (radius: 25)
[08:33:08 -328292.754057] FAST spr round 4 (radius: 25)
[08:36:00 -328285.829012] FAST spr round 5 (radius: 25)
[08:38:42 -328285.829010] Model parameter optimization (eps = 1.000000)
[08:39:07 -328256.137594] SLOW spr round 1 (radius: 5)
[08:43:09 -328166.809084] SLOW spr round 2 (radius: 5)
[08:46:45 -328164.230380] SLOW spr round 3 (radius: 5)
[08:50:12 -328164.230292] SLOW spr round 4 (radius: 10)
[08:53:54 -328164.230291] SLOW spr round 5 (radius: 15)
[09:02:03 -328164.230291] SLOW spr round 6 (radius: 20)
[09:13:52 -328164.230291] SLOW spr round 7 (radius: 25)
[09:29:32 -328164.230291] Model parameter optimization (eps = 0.100000)

[09:29:45] [worker #0] ML tree search #13, logLikelihood: -328164.119001

[09:29:45 -917866.047217] Initial branch length optimization
[09:29:51 -773106.743808] Model parameter optimization (eps = 10.000000)
[09:31:19 -768445.421373] AUTODETECT spr round 1 (radius: 5)
[09:35:15 -602967.478142] AUTODETECT spr round 2 (radius: 10)
[09:39:42 -450223.301488] AUTODETECT spr round 3 (radius: 15)
[09:44:35 -387329.985141] AUTODETECT spr round 4 (radius: 20)
[09:50:57 -372192.465678] AUTODETECT spr round 5 (radius: 25)
[09:58:24 -368498.976199] SPR radius for FAST iterations: 25 (autodetect)
[09:58:24 -368498.976199] Model parameter optimization (eps = 3.000000)
[09:59:02 -367580.652968] FAST spr round 1 (radius: 25)
[10:05:07 -329434.373973] FAST spr round 2 (radius: 25)
[10:09:14 -328372.644512] FAST spr round 3 (radius: 25)
[10:12:46 -328321.602920] FAST spr round 4 (radius: 25)
[10:15:42 -328300.695448] FAST spr round 5 (radius: 25)
[10:18:24 -328299.320232] FAST spr round 6 (radius: 25)
[10:21:01 -328299.320102] Model parameter optimization (eps = 1.000000)
[10:21:25 -328294.463336] SLOW spr round 1 (radius: 5)
[10:25:24 -328197.785699] SLOW spr round 2 (radius: 5)
[10:29:09 -328184.340446] SLOW spr round 3 (radius: 5)
[10:32:34 -328184.340335] SLOW spr round 4 (radius: 10)
[10:36:15 -328184.340334] SLOW spr round 5 (radius: 15)
[10:38:44] [worker #2] ML tree search #15, logLikelihood: -328167.818477
[10:40:57] [worker #1] ML tree search #17, logLikelihood: -328174.077131
[10:44:21 -328184.340334] SLOW spr round 6 (radius: 20)
[10:56:20 -328184.340334] SLOW spr round 7 (radius: 25)
[11:12:07 -328184.340334] Model parameter optimization (eps = 0.100000)

[11:12:21] [worker #0] ML tree search #16, logLikelihood: -328183.123784

[11:12:21 -920606.969111] Initial branch length optimization
[11:12:28 -777575.214565] Model parameter optimization (eps = 10.000000)
[11:14:04 -772748.695933] AUTODETECT spr round 1 (radius: 5)
[11:18:01 -597656.594584] AUTODETECT spr round 2 (radius: 10)
[11:22:28 -445650.910546] AUTODETECT spr round 3 (radius: 15)
[11:27:14 -402524.618851] AUTODETECT spr round 4 (radius: 20)
[11:33:05 -379404.059306] AUTODETECT spr round 5 (radius: 25)
[11:40:31 -369540.918177] SPR radius for FAST iterations: 25 (autodetect)
[11:40:31 -369540.918177] Model parameter optimization (eps = 3.000000)
[11:41:10 -368538.885102] FAST spr round 1 (radius: 25)
[11:47:02 -329940.320322] FAST spr round 2 (radius: 25)
[11:50:56 -328477.665423] FAST spr round 3 (radius: 25)
[11:54:20 -328379.421110] FAST spr round 4 (radius: 25)
[11:57:16 -328319.594292] FAST spr round 5 (radius: 25)
[11:59:56 -328319.594289] Model parameter optimization (eps = 1.000000)
[12:00:18 -328312.554262] SLOW spr round 1 (radius: 5)
[12:04:13 -328204.600849] SLOW spr round 2 (radius: 5)
[12:07:51 -328194.461930] SLOW spr round 3 (radius: 5)
[12:11:17 -328192.503540] SLOW spr round 4 (radius: 5)
[12:14:39 -328192.503508] SLOW spr round 5 (radius: 10)
[12:18:18 -328192.503508] SLOW spr round 6 (radius: 15)
[12:21:15] [worker #2] ML tree search #18, logLikelihood: -328172.487240
[12:23:09] [worker #1] ML tree search #20, logLikelihood: -328169.777825
[12:26:23 -328192.503508] SLOW spr round 7 (radius: 20)
[12:38:20 -328192.503508] SLOW spr round 8 (radius: 25)
[12:54:02 -328192.503508] Model parameter optimization (eps = 0.100000)

[12:54:12] [worker #0] ML tree search #19, logLikelihood: -328192.389827


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.262029,0.543695) (0.289997,1.336836) (0.368473,0.845918) (0.079501,1.989406) 
   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: -328160.717073

AIC score: 660331.434145 / AICc score: 8704391.434145 / BIC score: 668797.699563
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=504).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 34 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8N695/3_mltree/Q8N695.raxml.log

Analysis started: 19-Jul-2021 01:45:48 / finished: 19-Jul-2021 14:40:01

Elapsed time: 46453.163 seconds