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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 30-Jun-2021 20:49:26 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/2_msa/Q9C0C2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2 --seed 2 --threads 3 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (3 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/2_msa/Q9C0C2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 147 taxa and 139 sites

WARNING: Sequences sp_P58871_TB182_MOUSE_10090 and tr_D3ZF26_D3ZF26_RAT_10116 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_H2NDG9_H2NDG9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_F6QY71_F6QY71_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_G7PQ44_G7PQ44_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_A0A096N4Z2_A0A096N4Z2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_A0A0D9R0V0_A0A0D9R0V0_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_A0A2K5MTD9_A0A2K5MTD9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_A0A2K6CPG1_A0A2K6CPG1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1RPV6_G1RPV6_NOMLE_61853 and tr_A0A2K6A0C0_A0A2K6A0C0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3HRJ2_G3HRJ2_CRIGR_10029 and tr_A0A1U7QFR6_A0A1U7QFR6_MESAU_10036 are exactly identical!
WARNING: Sequences tr_G3R710_G3R710_GORGO_9595 and tr_H2QLE2_H2QLE2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R710_G3R710_GORGO_9595 and tr_A0A2R9CFK7_A0A2R9CFK7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5RCE7_A0A1D5RCE7_MACMU_9544 and tr_G7PHE7_G7PHE7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5RCE7_A0A1D5RCE7_MACMU_9544 and tr_A0A2K5NZ41_A0A2K5NZ41_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5RCE7_A0A1D5RCE7_MACMU_9544 and tr_A0A2K6DNN4_A0A2K6DNN4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A226MV02_A0A226MV02_CALSU_9009 and tr_A0A226PZD5_A0A226PZD5_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A226MWK3_A0A226MWK3_CALSU_9009 and tr_A0A226P2N2_A0A226P2N2_COLVI_9014 are exactly identical!
WARNING: Duplicate sequences found: 17

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/Q9C0C2/3_mltree/Q9C0C2.raxml.reduced.phy

Alignment comprises 1 partitions and 139 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 139 / 139
Gaps: 3.33 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.rba

Parallelization scheme autoconfig: 3 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 147 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 139 / 11120
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -29578.795346] Initial branch length optimization
[00:00:00 -22541.497689] Model parameter optimization (eps = 10.000000)
[00:00:06 -22476.916284] AUTODETECT spr round 1 (radius: 5)
[00:00:11 -13164.236670] AUTODETECT spr round 2 (radius: 10)
[00:00:17 -9739.209088] AUTODETECT spr round 3 (radius: 15)
[00:00:24 -9229.062436] AUTODETECT spr round 4 (radius: 20)
[00:00:31 -9043.555908] AUTODETECT spr round 5 (radius: 25)
[00:00:38 -9043.504953] SPR radius for FAST iterations: 20 (autodetect)
[00:00:38 -9043.504953] Model parameter optimization (eps = 3.000000)
[00:00:50 -8950.527955] FAST spr round 1 (radius: 20)
[00:00:57 -8152.045260] FAST spr round 2 (radius: 20)
[00:01:03 -8128.808557] FAST spr round 3 (radius: 20)
[00:01:07 -8127.659823] FAST spr round 4 (radius: 20)
[00:01:11 -8127.657347] Model parameter optimization (eps = 1.000000)
[00:01:15 -8124.453141] SLOW spr round 1 (radius: 5)
[00:01:23 -8122.940297] SLOW spr round 2 (radius: 5)
[00:01:31 -8122.940021] SLOW spr round 3 (radius: 10)
[00:01:38 -8120.976871] SLOW spr round 4 (radius: 5)
[00:01:50 -8120.976437] SLOW spr round 5 (radius: 10)
[00:01:59 -8120.628285] SLOW spr round 6 (radius: 5)
[00:02:08] [worker #1] ML tree search #2, logLikelihood: -8121.239585
[00:02:11 -8119.386186] SLOW spr round 7 (radius: 5)
[00:02:20 -8119.382719] SLOW spr round 8 (radius: 10)
[00:02:28 -8118.304438] SLOW spr round 9 (radius: 5)
[00:02:40 -8118.037506] SLOW spr round 10 (radius: 5)
[00:02:49 -8118.036858] SLOW spr round 11 (radius: 10)
[00:02:57 -8118.036622] SLOW spr round 12 (radius: 15)
[00:03:09 -8118.036534] SLOW spr round 13 (radius: 20)
[00:03:19 -8118.036501] SLOW spr round 14 (radius: 25)
[00:03:28 -8118.036489] Model parameter optimization (eps = 0.100000)

[00:03:30] [worker #0] ML tree search #1, logLikelihood: -8117.880486

[00:03:30 -30482.673624] Initial branch length optimization
[00:03:31 -22967.186092] Model parameter optimization (eps = 10.000000)
[00:03:36 -22935.552140] AUTODETECT spr round 1 (radius: 5)
[00:03:39] [worker #2] ML tree search #3, logLikelihood: -8118.237560
[00:03:41 -12999.262392] AUTODETECT spr round 2 (radius: 10)
[00:03:46 -10754.813210] AUTODETECT spr round 3 (radius: 15)
[00:03:54 -9404.947135] AUTODETECT spr round 4 (radius: 20)
[00:04:02 -8938.845584] AUTODETECT spr round 5 (radius: 25)
[00:04:09 -8910.835609] SPR radius for FAST iterations: 25 (autodetect)
[00:04:09 -8910.835609] Model parameter optimization (eps = 3.000000)
[00:04:17 -8794.187291] FAST spr round 1 (radius: 25)
[00:04:23 -8175.756522] FAST spr round 2 (radius: 25)
[00:04:28 -8134.043931] FAST spr round 3 (radius: 25)
[00:04:32 -8134.043582] Model parameter optimization (eps = 1.000000)
[00:04:35 -8131.592645] SLOW spr round 1 (radius: 5)
[00:04:44 -8127.474659] SLOW spr round 2 (radius: 5)
[00:04:52 -8127.474024] SLOW spr round 3 (radius: 10)
[00:05:00 -8127.473948] SLOW spr round 4 (radius: 15)
[00:05:12 -8127.134802] SLOW spr round 5 (radius: 5)
[00:05:14] [worker #1] ML tree search #5, logLikelihood: -8120.199735
[00:05:24 -8127.131949] SLOW spr round 6 (radius: 10)
[00:05:35 -8119.293213] SLOW spr round 7 (radius: 5)
[00:05:46] [worker #2] ML tree search #6, logLikelihood: -8122.778525
[00:05:46 -8117.523808] SLOW spr round 8 (radius: 5)
[00:05:56 -8117.523123] SLOW spr round 9 (radius: 10)
[00:06:04 -8117.522939] SLOW spr round 10 (radius: 15)
[00:06:15 -8117.522882] SLOW spr round 11 (radius: 20)
[00:06:26 -8117.522862] SLOW spr round 12 (radius: 25)
[00:06:35 -8117.522855] Model parameter optimization (eps = 0.100000)

[00:06:37] [worker #0] ML tree search #4, logLikelihood: -8117.377987

[00:06:37 -29270.086565] Initial branch length optimization
[00:06:38 -22455.144518] Model parameter optimization (eps = 10.000000)
[00:06:43 -22414.933408] AUTODETECT spr round 1 (radius: 5)
[00:06:47 -11767.924106] AUTODETECT spr round 2 (radius: 10)
[00:06:54 -9163.945011] AUTODETECT spr round 3 (radius: 15)
[00:07:01 -9002.533607] AUTODETECT spr round 4 (radius: 20)
[00:07:09 -8988.810683] AUTODETECT spr round 5 (radius: 25)
[00:07:15 -8980.506981] SPR radius for FAST iterations: 25 (autodetect)
[00:07:15 -8980.506981] Model parameter optimization (eps = 3.000000)
[00:07:22 -8862.693969] FAST spr round 1 (radius: 25)
[00:07:27 -8209.970323] FAST spr round 2 (radius: 25)
[00:07:32 -8128.698566] FAST spr round 3 (radius: 25)
[00:07:36 -8127.745263] FAST spr round 4 (radius: 25)
[00:07:40 -8127.744617] Model parameter optimization (eps = 1.000000)
[00:07:43 -8124.395201] SLOW spr round 1 (radius: 5)
[00:07:52 -8122.406437] SLOW spr round 2 (radius: 5)
[00:07:57] [worker #1] ML tree search #8, logLikelihood: -8127.500261
[00:08:00 -8122.403777] SLOW spr round 3 (radius: 10)
[00:08:06 -8122.402838] SLOW spr round 4 (radius: 15)
[00:08:17] [worker #2] ML tree search #9, logLikelihood: -8122.116574
[00:08:19 -8122.402481] SLOW spr round 5 (radius: 20)
[00:08:29 -8122.402346] SLOW spr round 6 (radius: 25)
[00:08:39 -8122.402296] Model parameter optimization (eps = 0.100000)

[00:08:41] [worker #0] ML tree search #7, logLikelihood: -8122.258979

[00:08:41 -29097.670762] Initial branch length optimization
[00:08:41 -22619.468314] Model parameter optimization (eps = 10.000000)
[00:08:46 -22563.766259] AUTODETECT spr round 1 (radius: 5)
[00:08:51 -13356.888849] AUTODETECT spr round 2 (radius: 10)
[00:08:57 -10373.063682] AUTODETECT spr round 3 (radius: 15)
[00:09:05 -8823.081611] AUTODETECT spr round 4 (radius: 20)
[00:09:13 -8789.435445] AUTODETECT spr round 5 (radius: 25)
[00:09:20 -8789.404645] SPR radius for FAST iterations: 20 (autodetect)
[00:09:20 -8789.404645] Model parameter optimization (eps = 3.000000)
[00:09:25 -8693.288362] FAST spr round 1 (radius: 20)
[00:09:32 -8162.057075] FAST spr round 2 (radius: 20)
[00:09:38 -8139.104810] FAST spr round 3 (radius: 20)
[00:09:42 -8134.669658] FAST spr round 4 (radius: 20)
[00:09:46 -8134.668384] Model parameter optimization (eps = 1.000000)
[00:09:50 -8126.229151] SLOW spr round 1 (radius: 5)
[00:09:59 -8124.189151] SLOW spr round 2 (radius: 5)
[00:10:06 -8124.142671] SLOW spr round 3 (radius: 10)
[00:10:14 -8122.811653] SLOW spr round 4 (radius: 5)
[00:10:26 -8122.414127] SLOW spr round 5 (radius: 5)
[00:10:32] [worker #1] ML tree search #11, logLikelihood: -8123.731953
[00:10:35 -8122.413840] SLOW spr round 6 (radius: 10)
[00:10:43 -8122.413822] SLOW spr round 7 (radius: 15)
[00:10:55 -8122.413821] SLOW spr round 8 (radius: 20)
[00:11:07 -8121.840705] SLOW spr round 9 (radius: 5)
[00:11:20 -8121.811445] SLOW spr round 10 (radius: 10)
[00:11:31 -8121.810806] SLOW spr round 11 (radius: 15)
[00:11:36] [worker #2] ML tree search #12, logLikelihood: -8120.150837
[00:11:43 -8121.788507] SLOW spr round 12 (radius: 20)
[00:11:55 -8121.787998] SLOW spr round 13 (radius: 25)
[00:12:03 -8121.787977] Model parameter optimization (eps = 0.100000)

[00:12:06] [worker #0] ML tree search #10, logLikelihood: -8120.915819

[00:12:06 -30428.480475] Initial branch length optimization
[00:12:07 -22928.126093] Model parameter optimization (eps = 10.000000)
[00:12:12 -22898.522682] AUTODETECT spr round 1 (radius: 5)
[00:12:17 -13268.365860] AUTODETECT spr round 2 (radius: 10)
[00:12:23 -10043.620581] AUTODETECT spr round 3 (radius: 15)
[00:12:31 -9146.701644] AUTODETECT spr round 4 (radius: 20)
[00:12:38 -8985.481111] AUTODETECT spr round 5 (radius: 25)
[00:12:44 -8985.466386] SPR radius for FAST iterations: 20 (autodetect)
[00:12:44 -8985.466386] Model parameter optimization (eps = 3.000000)
[00:12:51 -8869.864609] FAST spr round 1 (radius: 20)
[00:12:58 -8199.263395] FAST spr round 2 (radius: 20)
[00:13:03 -8148.019699] FAST spr round 3 (radius: 20)
[00:13:08 -8136.758646] FAST spr round 4 (radius: 20)
[00:13:09] [worker #1] ML tree search #14, logLikelihood: -8124.431053
[00:13:12 -8132.357081] FAST spr round 5 (radius: 20)
[00:13:17 -8132.357075] Model parameter optimization (eps = 1.000000)
[00:13:21 -8122.264019] SLOW spr round 1 (radius: 5)
[00:13:29 -8121.535872] SLOW spr round 2 (radius: 5)
[00:13:37 -8121.535487] SLOW spr round 3 (radius: 10)
[00:13:44 -8120.832955] SLOW spr round 4 (radius: 5)
[00:13:56 -8120.832920] SLOW spr round 5 (radius: 10)
[00:14:05 -8120.481300] SLOW spr round 6 (radius: 5)
[00:14:16 -8120.419323] SLOW spr round 7 (radius: 10)
[00:14:26 -8119.309336] SLOW spr round 8 (radius: 5)
[00:14:37 -8119.027941] SLOW spr round 9 (radius: 5)
[00:14:46 -8119.027938] SLOW spr round 10 (radius: 10)
[00:14:54 -8119.027938] SLOW spr round 11 (radius: 15)
[00:15:07 -8118.664225] SLOW spr round 12 (radius: 5)
[00:15:19 -8118.561564] SLOW spr round 13 (radius: 5)
[00:15:29 -8118.560428] SLOW spr round 14 (radius: 10)
[00:15:37 -8118.559952] SLOW spr round 15 (radius: 15)
[00:15:49 -8118.559749] SLOW spr round 16 (radius: 20)
[00:16:01 -8118.559660] SLOW spr round 17 (radius: 25)
[00:16:10 -8118.559621] Model parameter optimization (eps = 0.100000)

[00:16:11] [worker #0] ML tree search #13, logLikelihood: -8118.502505

[00:16:11 -31427.253475] Initial branch length optimization
[00:16:12 -24067.804745] Model parameter optimization (eps = 10.000000)
[00:16:17 -24041.222212] AUTODETECT spr round 1 (radius: 5)
[00:16:22 -12868.534929] AUTODETECT spr round 2 (radius: 10)
[00:16:26] [worker #2] ML tree search #15, logLikelihood: -8119.395568
[00:16:28 -9144.419973] AUTODETECT spr round 3 (radius: 15)
[00:16:36 -8603.246937] AUTODETECT spr round 4 (radius: 20)
[00:16:44 -8590.744793] AUTODETECT spr round 5 (radius: 25)
[00:16:51] [worker #1] ML tree search #17, logLikelihood: -8124.770281
[00:16:51 -8590.741948] SPR radius for FAST iterations: 20 (autodetect)
[00:16:51 -8590.741948] Model parameter optimization (eps = 3.000000)
[00:16:58 -8477.180332] FAST spr round 1 (radius: 20)
[00:17:03 -8148.542877] FAST spr round 2 (radius: 20)
[00:17:08 -8130.230557] FAST spr round 3 (radius: 20)
[00:17:12 -8128.063268] FAST spr round 4 (radius: 20)
[00:17:16 -8128.061317] Model parameter optimization (eps = 1.000000)
[00:17:19 -8126.565857] SLOW spr round 1 (radius: 5)
[00:17:28 -8125.416245] SLOW spr round 2 (radius: 5)
[00:17:36 -8125.415859] SLOW spr round 3 (radius: 10)
[00:17:43 -8124.515837] SLOW spr round 4 (radius: 5)
[00:17:55 -8124.515819] SLOW spr round 5 (radius: 10)
[00:18:05 -8124.158949] SLOW spr round 6 (radius: 5)
[00:18:16 -8124.155544] SLOW spr round 7 (radius: 10)
[00:18:25 -8123.140551] SLOW spr round 8 (radius: 5)
[00:18:36 -8122.843830] SLOW spr round 9 (radius: 5)
[00:18:46 -8122.843336] SLOW spr round 10 (radius: 10)
[00:18:54 -8122.843153] SLOW spr round 11 (radius: 15)
[00:18:54] [worker #2] ML tree search #18, logLikelihood: -8125.347389
[00:19:05 -8122.843084] SLOW spr round 12 (radius: 20)
[00:19:16 -8122.843057] SLOW spr round 13 (radius: 25)
[00:19:24 -8122.843047] Model parameter optimization (eps = 0.100000)

[00:19:26] [worker #0] ML tree search #16, logLikelihood: -8122.805952

[00:19:26 -30979.353647] Initial branch length optimization
[00:19:26 -23638.674435] Model parameter optimization (eps = 10.000000)
[00:19:32 -23581.601359] AUTODETECT spr round 1 (radius: 5)
[00:19:36 -13081.023262] AUTODETECT spr round 2 (radius: 10)
[00:19:42 -10006.396962] AUTODETECT spr round 3 (radius: 15)
[00:19:50 -9404.458933] AUTODETECT spr round 4 (radius: 20)
[00:19:57 -9088.797759] AUTODETECT spr round 5 (radius: 25)
[00:20:04 -9087.762444] SPR radius for FAST iterations: 25 (autodetect)
[00:20:04 -9087.762444] Model parameter optimization (eps = 3.000000)
[00:20:11 -8984.313783] FAST spr round 1 (radius: 25)
[00:20:18 -8222.674450] FAST spr round 2 (radius: 25)
[00:20:24 -8132.638097] FAST spr round 3 (radius: 25)
[00:20:28 -8128.669030] FAST spr round 4 (radius: 25)
[00:20:30] [worker #1] ML tree search #20, logLikelihood: -8121.068547
[00:20:32 -8128.517655] FAST spr round 5 (radius: 25)
[00:20:36 -8128.517651] Model parameter optimization (eps = 1.000000)
[00:20:40 -8123.862854] SLOW spr round 1 (radius: 5)
[00:20:49 -8118.838980] SLOW spr round 2 (radius: 5)
[00:20:56 -8118.838761] SLOW spr round 3 (radius: 10)
[00:21:03 -8118.706483] SLOW spr round 4 (radius: 5)
[00:21:15 -8118.486819] SLOW spr round 5 (radius: 5)
[00:21:24 -8118.486570] SLOW spr round 6 (radius: 10)
[00:21:32 -8118.486561] SLOW spr round 7 (radius: 15)
[00:21:45 -8118.255335] SLOW spr round 8 (radius: 5)
[00:21:57 -8118.254986] SLOW spr round 9 (radius: 10)
[00:22:08 -8118.132579] SLOW spr round 10 (radius: 5)
[00:22:19 -8118.040983] SLOW spr round 11 (radius: 10)
[00:22:28 -8118.040733] SLOW spr round 12 (radius: 15)
[00:22:40 -8118.040719] SLOW spr round 13 (radius: 20)
[00:22:50 -8118.040718] SLOW spr round 14 (radius: 25)
[00:23:00 -8118.040718] Model parameter optimization (eps = 0.100000)

[00:23:02] [worker #0] ML tree search #19, logLikelihood: -8117.861541


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.232815,0.962110) (0.165945,1.669950) (0.266372,0.431356) (0.334868,1.146676) 
   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: -8117.377987

AIC score: 16828.755974 / AICc score: 193840.755974 / BIC score: 17700.294733
Free parameters (model + branch lengths): 297

WARNING: Number of free parameters (K=297) is larger than alignment size (n=139).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 38 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9C0C2/3_mltree/Q9C0C2.raxml.log

Analysis started: 30-Jun-2021 20:49:26 / finished: 30-Jun-2021 21:12:28

Elapsed time: 1382.205 seconds

Consumed energy: 95.422 Wh