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 6258R CPU @ 2.70GHz, 56 cores, 187 GB RAM

RAxML-NG was called at 26-Jul-2021 00:10:20 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/2_msa/O14926_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/2_msa/O14926_trimmed_msa.fasta
[00:00:00] Loaded alignment with 314 taxa and 463 sites

WARNING: Sequences tr_Q29JA2_Q29JA2_DROPS_46245 and tr_B4H3U7_B4H3U7_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2QU49_H2QU49_PANTR_9598 and sp_Q16658_FSCN1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A158NSI5_A0A158NSI5_ATTCE_12957 and tr_A0A151HYG3_A0A151HYG3_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NSI5_A0A158NSI5_ATTCE_12957 and tr_A0A195FT71_A0A195FT71_9HYME_34720 are exactly identical!
WARNING: Sequences tr_F7EX32_F7EX32_MACMU_9544 and tr_A0A2K6C169_A0A2K6C169_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096MNE8_A0A096MNE8_PAPAN_9555 and tr_A0A0D9RYK8_A0A0D9RYK8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A096MNE8_A0A096MNE8_PAPAN_9555 and tr_A0A2K5MEY2_A0A2K5MEY2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A226MR24_A0A226MR24_CALSU_9009 and tr_A0A226PLS9_A0A226PLS9_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0S6P5_A0A2D0S6P5_ICTPU_7998 and tr_A0A2D0S7A3_A0A2D0S7A3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5LSD9_A0A2K5LSD9_CERAT_9531 and tr_A0A2K6E283_A0A2K6E283_MACNE_9545 are exactly identical!
WARNING: Duplicate sequences found: 10

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.reduced.phy

Alignment comprises 1 partitions and 463 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 463 / 463
Gaps: 11.03 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 314 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 67 / 5360
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -189663.889969] Initial branch length optimization
[00:00:01 -153769.869337] Model parameter optimization (eps = 10.000000)
[00:00:16 -153076.061980] AUTODETECT spr round 1 (radius: 5)
[00:00:34 -103396.229307] AUTODETECT spr round 2 (radius: 10)
[00:00:57 -86377.527066] AUTODETECT spr round 3 (radius: 15)
[00:01:22 -74411.558140] AUTODETECT spr round 4 (radius: 20)
[00:01:53 -71530.900055] AUTODETECT spr round 5 (radius: 25)
[00:02:24 -71231.720138] SPR radius for FAST iterations: 25 (autodetect)
[00:02:24 -71231.720138] Model parameter optimization (eps = 3.000000)
[00:02:37 -71087.373695] FAST spr round 1 (radius: 25)
[00:03:01 -63947.946008] FAST spr round 2 (radius: 25)
[00:03:23 -63532.722404] FAST spr round 3 (radius: 25)
[00:03:41 -63515.531492] FAST spr round 4 (radius: 25)
[00:03:59 -63515.530431] Model parameter optimization (eps = 1.000000)
[00:04:06 -63507.192125] SLOW spr round 1 (radius: 5)
[00:04:36 -63494.838850] SLOW spr round 2 (radius: 5)
[00:05:06 -63494.332937] SLOW spr round 3 (radius: 5)
[00:05:34 -63494.331057] SLOW spr round 4 (radius: 10)
[00:06:02 -63491.797578] SLOW spr round 5 (radius: 5)
[00:06:39 -63491.454653] SLOW spr round 6 (radius: 5)
[00:07:11 -63491.454604] SLOW spr round 7 (radius: 10)
[00:07:40 -63491.454598] SLOW spr round 8 (radius: 15)
[00:08:20 -63491.454595] SLOW spr round 9 (radius: 20)
[00:09:15 -63491.454594] SLOW spr round 10 (radius: 25)
[00:10:16 -63491.454593] Model parameter optimization (eps = 0.100000)

[00:10:19] ML tree search #1, logLikelihood: -63491.436075

[00:10:19 -190130.603489] Initial branch length optimization
[00:10:19 -155491.622958] Model parameter optimization (eps = 10.000000)
[00:10:34 -154766.419788] AUTODETECT spr round 1 (radius: 5)
[00:10:52 -103772.835920] AUTODETECT spr round 2 (radius: 10)
[00:11:13 -82919.745642] AUTODETECT spr round 3 (radius: 15)
[00:11:41 -70520.014555] AUTODETECT spr round 4 (radius: 20)
[00:12:14 -69053.955573] AUTODETECT spr round 5 (radius: 25)
[00:12:50 -69003.713182] SPR radius for FAST iterations: 25 (autodetect)
[00:12:50 -69003.713182] Model parameter optimization (eps = 3.000000)
[00:13:03 -68897.019094] FAST spr round 1 (radius: 25)
[00:13:29 -63703.431454] FAST spr round 2 (radius: 25)
[00:13:51 -63534.261403] FAST spr round 3 (radius: 25)
[00:14:11 -63517.969300] FAST spr round 4 (radius: 25)
[00:14:28 -63515.206140] FAST spr round 5 (radius: 25)
[00:14:45 -63515.205866] Model parameter optimization (eps = 1.000000)
[00:14:52 -63504.628408] SLOW spr round 1 (radius: 5)
[00:15:22 -63495.871451] SLOW spr round 2 (radius: 5)
[00:15:53 -63493.899663] SLOW spr round 3 (radius: 5)
[00:16:21 -63493.895453] SLOW spr round 4 (radius: 10)
[00:16:49 -63493.894985] SLOW spr round 5 (radius: 15)
[00:17:30 -63493.894845] SLOW spr round 6 (radius: 20)
[00:18:26 -63493.894788] SLOW spr round 7 (radius: 25)
[00:19:30 -63493.894763] Model parameter optimization (eps = 0.100000)

[00:19:34] ML tree search #2, logLikelihood: -63493.733499

[00:19:34 -192779.018664] Initial branch length optimization
[00:19:35 -156979.269946] Model parameter optimization (eps = 10.000000)
[00:19:51 -156247.220250] AUTODETECT spr round 1 (radius: 5)
[00:20:09 -103251.485788] AUTODETECT spr round 2 (radius: 10)
[00:20:31 -76917.230772] AUTODETECT spr round 3 (radius: 15)
[00:20:58 -69582.543857] AUTODETECT spr round 4 (radius: 20)
[00:21:32 -68104.821912] AUTODETECT spr round 5 (radius: 25)
[00:22:09 -68104.803997] SPR radius for FAST iterations: 20 (autodetect)
[00:22:09 -68104.803997] Model parameter optimization (eps = 3.000000)
[00:22:23 -67947.872770] FAST spr round 1 (radius: 20)
[00:22:50 -64076.686184] FAST spr round 2 (radius: 20)
[00:23:14 -63516.278413] FAST spr round 3 (radius: 20)
[00:23:32 -63507.514475] FAST spr round 4 (radius: 20)
[00:23:48 -63504.807389] FAST spr round 5 (radius: 20)
[00:24:05 -63504.807240] Model parameter optimization (eps = 1.000000)
[00:24:12 -63502.212638] SLOW spr round 1 (radius: 5)
[00:24:42 -63491.578330] SLOW spr round 2 (radius: 5)
[00:25:10 -63491.576764] SLOW spr round 3 (radius: 10)
[00:25:38 -63491.576114] SLOW spr round 4 (radius: 15)
[00:26:19 -63491.575838] SLOW spr round 5 (radius: 20)
[00:27:11 -63491.575720] SLOW spr round 6 (radius: 25)
[00:28:12 -63491.575669] Model parameter optimization (eps = 0.100000)

[00:28:15] ML tree search #3, logLikelihood: -63491.548703

[00:28:15 -192609.347941] Initial branch length optimization
[00:28:16 -157184.502166] Model parameter optimization (eps = 10.000000)
[00:28:31 -156456.971261] AUTODETECT spr round 1 (radius: 5)
[00:28:49 -102075.446867] AUTODETECT spr round 2 (radius: 10)
[00:29:13 -76506.059203] AUTODETECT spr round 3 (radius: 15)
[00:29:42 -69789.307874] AUTODETECT spr round 4 (radius: 20)
[00:30:15 -69298.175409] AUTODETECT spr round 5 (radius: 25)
[00:30:52 -69169.675160] SPR radius for FAST iterations: 25 (autodetect)
[00:30:52 -69169.675160] Model parameter optimization (eps = 3.000000)
[00:31:04 -69034.369743] FAST spr round 1 (radius: 25)
[00:31:30 -63703.425663] FAST spr round 2 (radius: 25)
[00:31:51 -63538.331880] FAST spr round 3 (radius: 25)
[00:32:10 -63517.694837] FAST spr round 4 (radius: 25)
[00:32:26 -63517.123944] FAST spr round 5 (radius: 25)
[00:32:43 -63517.123791] Model parameter optimization (eps = 1.000000)
[00:32:52 -63511.044352] SLOW spr round 1 (radius: 5)
[00:33:22 -63504.130894] SLOW spr round 2 (radius: 5)
[00:33:52 -63502.807358] SLOW spr round 3 (radius: 5)
[00:34:21 -63502.805234] SLOW spr round 4 (radius: 10)
[00:34:49 -63498.541130] SLOW spr round 5 (radius: 5)
[00:35:27 -63497.614824] SLOW spr round 6 (radius: 5)
[00:36:02 -63497.614718] SLOW spr round 7 (radius: 10)
[00:36:33 -63497.110274] SLOW spr round 8 (radius: 5)
[00:37:13 -63494.155773] SLOW spr round 9 (radius: 5)
[00:37:46 -63491.939971] SLOW spr round 10 (radius: 5)
[00:38:18 -63491.939904] SLOW spr round 11 (radius: 10)
[00:38:48 -63491.939893] SLOW spr round 12 (radius: 15)
[00:39:35 -63491.939888] SLOW spr round 13 (radius: 20)
[00:40:35 -63491.939885] SLOW spr round 14 (radius: 25)
[00:41:44 -63491.939884] Model parameter optimization (eps = 0.100000)

[00:41:46] ML tree search #4, logLikelihood: -63491.859202

[00:41:47 -191483.829505] Initial branch length optimization
[00:41:48 -156500.526965] Model parameter optimization (eps = 10.000000)
[00:42:05 -155829.643446] AUTODETECT spr round 1 (radius: 5)
[00:42:24 -103115.816872] AUTODETECT spr round 2 (radius: 10)
[00:42:47 -75077.349207] AUTODETECT spr round 3 (radius: 15)
[00:43:17 -68941.424969] AUTODETECT spr round 4 (radius: 20)
[00:43:52 -67954.106106] AUTODETECT spr round 5 (radius: 25)
[00:44:29 -67954.088482] SPR radius for FAST iterations: 20 (autodetect)
[00:44:29 -67954.088482] Model parameter optimization (eps = 3.000000)
[00:44:40 -67783.315272] FAST spr round 1 (radius: 20)
[00:45:06 -63810.423334] FAST spr round 2 (radius: 20)
[00:45:26 -63527.334051] FAST spr round 3 (radius: 20)
[00:45:45 -63516.279693] FAST spr round 4 (radius: 20)
[00:46:01 -63516.279596] Model parameter optimization (eps = 1.000000)
[00:46:08 -63514.529573] SLOW spr round 1 (radius: 5)
[00:46:40 -63496.215376] SLOW spr round 2 (radius: 5)
[00:47:11 -63496.214970] SLOW spr round 3 (radius: 10)
[00:47:41 -63496.214959] SLOW spr round 4 (radius: 15)
[00:48:26 -63496.214959] SLOW spr round 5 (radius: 20)
[00:49:26 -63496.214959] SLOW spr round 6 (radius: 25)
[00:50:33 -63496.214958] Model parameter optimization (eps = 0.100000)

[00:50:36] ML tree search #5, logLikelihood: -63496.183437

[00:50:36 -190044.988263] Initial branch length optimization
[00:50:36 -155127.418772] Model parameter optimization (eps = 10.000000)
[00:50:49 -154386.445868] AUTODETECT spr round 1 (radius: 5)
[00:51:07 -101492.429041] AUTODETECT spr round 2 (radius: 10)
[00:51:30 -79858.843369] AUTODETECT spr round 3 (radius: 15)
[00:51:55 -70212.967573] AUTODETECT spr round 4 (radius: 20)
[00:52:28 -68709.866443] AUTODETECT spr round 5 (radius: 25)
[00:53:00 -68279.131540] SPR radius for FAST iterations: 25 (autodetect)
[00:53:00 -68279.131540] Model parameter optimization (eps = 3.000000)
[00:53:11 -68121.061412] FAST spr round 1 (radius: 25)
[00:53:36 -63843.778951] FAST spr round 2 (radius: 25)
[00:54:00 -63519.704960] FAST spr round 3 (radius: 25)
[00:54:19 -63508.270043] FAST spr round 4 (radius: 25)
[00:54:36 -63508.071124] FAST spr round 5 (radius: 25)
[00:54:54 -63508.070987] Model parameter optimization (eps = 1.000000)
[00:55:00 -63504.900924] SLOW spr round 1 (radius: 5)
[00:55:33 -63493.527610] SLOW spr round 2 (radius: 5)
[00:56:05 -63492.917675] SLOW spr round 3 (radius: 5)
[00:56:35 -63492.915460] SLOW spr round 4 (radius: 10)
[00:57:04 -63492.914980] SLOW spr round 5 (radius: 15)
[00:57:49 -63492.914832] SLOW spr round 6 (radius: 20)
[00:58:48 -63492.914777] SLOW spr round 7 (radius: 25)
[00:59:54 -63492.914754] Model parameter optimization (eps = 0.100000)

[00:59:58] ML tree search #6, logLikelihood: -63492.773633

[00:59:58 -193074.206798] Initial branch length optimization
[00:59:59 -157264.444313] Model parameter optimization (eps = 10.000000)
[01:00:18 -156553.499788] AUTODETECT spr round 1 (radius: 5)
[01:00:36 -102842.975003] AUTODETECT spr round 2 (radius: 10)
[01:00:59 -81268.605190] AUTODETECT spr round 3 (radius: 15)
[01:01:30 -72688.981279] AUTODETECT spr round 4 (radius: 20)
[01:02:04 -70164.447726] AUTODETECT spr round 5 (radius: 25)
[01:02:37 -70158.050933] SPR radius for FAST iterations: 25 (autodetect)
[01:02:37 -70158.050933] Model parameter optimization (eps = 3.000000)
[01:02:48 -70006.978579] FAST spr round 1 (radius: 25)
[01:03:15 -63961.571749] FAST spr round 2 (radius: 25)
[01:03:38 -63749.545702] FAST spr round 3 (radius: 25)
[01:03:59 -63530.079090] FAST spr round 4 (radius: 25)
[01:04:17 -63502.181386] FAST spr round 5 (radius: 25)
[01:04:35 -63500.324844] FAST spr round 6 (radius: 25)
[01:04:51 -63500.324762] Model parameter optimization (eps = 1.000000)
[01:04:57 -63497.238046] SLOW spr round 1 (radius: 5)
[01:05:29 -63492.028251] SLOW spr round 2 (radius: 5)
[01:06:01 -63491.456680] SLOW spr round 3 (radius: 5)
[01:06:32 -63491.443667] SLOW spr round 4 (radius: 10)
[01:07:02 -63491.443399] SLOW spr round 5 (radius: 15)
[01:07:47 -63491.443314] SLOW spr round 6 (radius: 20)
[01:08:47 -63491.443278] SLOW spr round 7 (radius: 25)
[01:09:57 -63491.443262] Model parameter optimization (eps = 0.100000)

[01:10:00] ML tree search #7, logLikelihood: -63491.399163

[01:10:00 -192883.696922] Initial branch length optimization
[01:10:00 -157256.368475] Model parameter optimization (eps = 10.000000)
[01:10:22 -156387.974725] AUTODETECT spr round 1 (radius: 5)
[01:10:41 -103274.126195] AUTODETECT spr round 2 (radius: 10)
[01:11:03 -77624.890840] AUTODETECT spr round 3 (radius: 15)
[01:11:29 -68711.896253] AUTODETECT spr round 4 (radius: 20)
[01:12:00 -68043.425793] AUTODETECT spr round 5 (radius: 25)
[01:12:36 -67734.729198] SPR radius for FAST iterations: 25 (autodetect)
[01:12:36 -67734.729198] Model parameter optimization (eps = 3.000000)
[01:12:47 -67594.264776] FAST spr round 1 (radius: 25)
[01:13:14 -63820.269294] FAST spr round 2 (radius: 25)
[01:13:36 -63532.114026] FAST spr round 3 (radius: 25)
[01:13:56 -63509.418879] FAST spr round 4 (radius: 25)
[01:14:13 -63508.823201] FAST spr round 5 (radius: 25)
[01:14:30 -63508.466168] FAST spr round 6 (radius: 25)
[01:14:47 -63505.757709] FAST spr round 7 (radius: 25)
[01:15:03 -63505.757485] Model parameter optimization (eps = 1.000000)
[01:15:10 -63502.358819] SLOW spr round 1 (radius: 5)
[01:15:42 -63495.897048] SLOW spr round 2 (radius: 5)
[01:16:13 -63495.295706] SLOW spr round 3 (radius: 5)
[01:16:43 -63495.295622] SLOW spr round 4 (radius: 10)
[01:17:13 -63494.664683] SLOW spr round 5 (radius: 5)
[01:17:53 -63491.665874] SLOW spr round 6 (radius: 5)
[01:18:27 -63491.665842] SLOW spr round 7 (radius: 10)
[01:18:58 -63491.665841] SLOW spr round 8 (radius: 15)
[01:19:41 -63491.665841] SLOW spr round 9 (radius: 20)
[01:20:43 -63491.665841] SLOW spr round 10 (radius: 25)
[01:21:52 -63491.665841] Model parameter optimization (eps = 0.100000)

[01:21:54] ML tree search #8, logLikelihood: -63491.654153

[01:21:54 -188488.225905] Initial branch length optimization
[01:21:55 -154441.146659] Model parameter optimization (eps = 10.000000)
[01:22:12 -153805.081310] AUTODETECT spr round 1 (radius: 5)
[01:22:31 -99236.564663] AUTODETECT spr round 2 (radius: 10)
[01:22:53 -79140.435720] AUTODETECT spr round 3 (radius: 15)
[01:23:20 -72853.876221] AUTODETECT spr round 4 (radius: 20)
[01:23:52 -70442.185674] AUTODETECT spr round 5 (radius: 25)
[01:24:25 -70270.657225] SPR radius for FAST iterations: 25 (autodetect)
[01:24:25 -70270.657225] Model parameter optimization (eps = 3.000000)
[01:24:36 -70101.092212] FAST spr round 1 (radius: 25)
[01:25:05 -63694.606013] FAST spr round 2 (radius: 25)
[01:25:28 -63549.480501] FAST spr round 3 (radius: 25)
[01:25:49 -63516.110607] FAST spr round 4 (radius: 25)
[01:26:06 -63516.110072] Model parameter optimization (eps = 1.000000)
[01:26:13 -63510.329910] SLOW spr round 1 (radius: 5)
[01:26:46 -63493.775065] SLOW spr round 2 (radius: 5)
[01:27:16 -63493.704210] SLOW spr round 3 (radius: 10)
[01:27:45 -63493.703900] SLOW spr round 4 (radius: 15)
[01:28:30 -63493.703766] SLOW spr round 5 (radius: 20)
[01:29:30 -63493.703708] SLOW spr round 6 (radius: 25)
[01:30:35 -63493.703682] Model parameter optimization (eps = 0.100000)

[01:30:40] ML tree search #9, logLikelihood: -63493.433402

[01:30:40 -191872.242187] Initial branch length optimization
[01:30:41 -156897.637311] Model parameter optimization (eps = 10.000000)
[01:30:56 -156173.925904] AUTODETECT spr round 1 (radius: 5)
[01:31:15 -100707.207506] AUTODETECT spr round 2 (radius: 10)
[01:31:37 -80040.461174] AUTODETECT spr round 3 (radius: 15)
[01:32:05 -70025.107145] AUTODETECT spr round 4 (radius: 20)
[01:32:40 -69308.071560] AUTODETECT spr round 5 (radius: 25)
[01:33:19 -69233.563844] SPR radius for FAST iterations: 25 (autodetect)
[01:33:19 -69233.563844] Model parameter optimization (eps = 3.000000)
[01:33:33 -69062.865879] FAST spr round 1 (radius: 25)
[01:34:02 -63672.244010] FAST spr round 2 (radius: 25)
[01:34:24 -63549.715842] FAST spr round 3 (radius: 25)
[01:34:44 -63518.788732] FAST spr round 4 (radius: 25)
[01:35:02 -63505.142282] FAST spr round 5 (radius: 25)
[01:35:19 -63505.142220] Model parameter optimization (eps = 1.000000)
[01:35:25 -63502.448249] SLOW spr round 1 (radius: 5)
[01:35:57 -63494.325664] SLOW spr round 2 (radius: 5)
[01:36:29 -63493.484956] SLOW spr round 3 (radius: 5)
[01:36:59 -63493.484344] SLOW spr round 4 (radius: 10)
[01:37:29 -63492.965176] SLOW spr round 5 (radius: 5)
[01:38:10 -63490.392397] SLOW spr round 6 (radius: 5)
[01:38:44 -63490.392345] SLOW spr round 7 (radius: 10)
[01:39:15 -63490.392345] SLOW spr round 8 (radius: 15)
[01:39:59 -63490.392344] SLOW spr round 9 (radius: 20)
[01:41:01 -63490.392344] SLOW spr round 10 (radius: 25)
[01:42:09 -63490.392344] Model parameter optimization (eps = 0.100000)

[01:42:13] ML tree search #10, logLikelihood: -63490.254087

[01:42:13 -193669.016158] Initial branch length optimization
[01:42:14 -156283.815118] Model parameter optimization (eps = 10.000000)
[01:42:31 -155648.504481] AUTODETECT spr round 1 (radius: 5)
[01:42:50 -105802.311051] AUTODETECT spr round 2 (radius: 10)
[01:43:13 -84792.493390] AUTODETECT spr round 3 (radius: 15)
[01:43:40 -74346.973668] AUTODETECT spr round 4 (radius: 20)
[01:44:10 -72891.303184] AUTODETECT spr round 5 (radius: 25)
[01:44:47 -69899.341275] SPR radius for FAST iterations: 25 (autodetect)
[01:44:47 -69899.341275] Model parameter optimization (eps = 3.000000)
[01:45:05 -69724.898809] FAST spr round 1 (radius: 25)
[01:45:32 -63866.588022] FAST spr round 2 (radius: 25)
[01:45:54 -63528.331392] FAST spr round 3 (radius: 25)
[01:46:13 -63514.321411] FAST spr round 4 (radius: 25)
[01:46:31 -63512.184283] FAST spr round 5 (radius: 25)
[01:46:47 -63512.184134] Model parameter optimization (eps = 1.000000)
[01:46:55 -63504.894614] SLOW spr round 1 (radius: 5)
[01:47:28 -63493.999082] SLOW spr round 2 (radius: 5)
[01:47:58 -63493.518758] SLOW spr round 3 (radius: 5)
[01:48:29 -63493.516525] SLOW spr round 4 (radius: 10)
[01:48:58 -63493.516047] SLOW spr round 5 (radius: 15)
[01:49:43 -63493.515899] SLOW spr round 6 (radius: 20)
[01:50:44 -63493.515844] SLOW spr round 7 (radius: 25)
[01:51:53 -63493.515821] Model parameter optimization (eps = 0.100000)

[01:51:57] ML tree search #11, logLikelihood: -63493.359593

[01:51:57 -193479.933915] Initial branch length optimization
[01:51:58 -156721.160399] Model parameter optimization (eps = 10.000000)
[01:52:12 -156031.764152] AUTODETECT spr round 1 (radius: 5)
[01:52:30 -106163.554321] AUTODETECT spr round 2 (radius: 10)
[01:52:53 -82307.279220] AUTODETECT spr round 3 (radius: 15)
[01:53:21 -72696.273351] AUTODETECT spr round 4 (radius: 20)
[01:53:50 -71242.555179] AUTODETECT spr round 5 (radius: 25)
[01:54:27 -71229.994044] SPR radius for FAST iterations: 25 (autodetect)
[01:54:27 -71229.994044] Model parameter optimization (eps = 3.000000)
[01:54:38 -71092.781741] FAST spr round 1 (radius: 25)
[01:55:08 -63826.394438] FAST spr round 2 (radius: 25)
[01:55:32 -63542.022397] FAST spr round 3 (radius: 25)
[01:55:53 -63512.857163] FAST spr round 4 (radius: 25)
[01:56:10 -63512.856907] Model parameter optimization (eps = 1.000000)
[01:56:18 -63504.423741] SLOW spr round 1 (radius: 5)
[01:56:50 -63490.249099] SLOW spr round 2 (radius: 5)
[01:57:22 -63489.624914] SLOW spr round 3 (radius: 5)
[01:57:52 -63489.622656] SLOW spr round 4 (radius: 10)
[01:58:22 -63489.622482] SLOW spr round 5 (radius: 15)
[01:59:06 -63489.622446] SLOW spr round 6 (radius: 20)
[02:00:02 -63489.622432] SLOW spr round 7 (radius: 25)
[02:01:08 -63489.622426] Model parameter optimization (eps = 0.100000)

[02:01:12] ML tree search #12, logLikelihood: -63489.460074

[02:01:13 -193100.210805] Initial branch length optimization
[02:01:14 -157453.003336] Model parameter optimization (eps = 10.000000)
[02:01:29 -156719.997024] AUTODETECT spr round 1 (radius: 5)
[02:01:47 -99792.714072] AUTODETECT spr round 2 (radius: 10)
[02:02:10 -79502.375990] AUTODETECT spr round 3 (radius: 15)
[02:02:41 -71202.476479] AUTODETECT spr round 4 (radius: 20)
[02:03:19 -69852.358954] AUTODETECT spr round 5 (radius: 25)
[02:03:56 -69850.701160] SPR radius for FAST iterations: 25 (autodetect)
[02:03:56 -69850.701160] Model parameter optimization (eps = 3.000000)
[02:04:10 -69718.822813] FAST spr round 1 (radius: 25)
[02:04:37 -63832.275309] FAST spr round 2 (radius: 25)
[02:05:00 -63523.460266] FAST spr round 3 (radius: 25)
[02:05:18 -63513.292172] FAST spr round 4 (radius: 25)
[02:05:35 -63511.423911] FAST spr round 5 (radius: 25)
[02:05:51 -63511.423842] Model parameter optimization (eps = 1.000000)
[02:05:59 -63505.848036] SLOW spr round 1 (radius: 5)
[02:06:31 -63494.106433] SLOW spr round 2 (radius: 5)
[02:07:02 -63493.479710] SLOW spr round 3 (radius: 5)
[02:07:32 -63493.478056] SLOW spr round 4 (radius: 10)
[02:08:01 -63493.329206] SLOW spr round 5 (radius: 5)
[02:08:42 -63491.744193] SLOW spr round 6 (radius: 5)
[02:09:17 -63490.964091] SLOW spr round 7 (radius: 5)
[02:09:49 -63488.152353] SLOW spr round 8 (radius: 5)
[02:10:20 -63488.152175] SLOW spr round 9 (radius: 10)
[02:10:50 -63488.152174] SLOW spr round 10 (radius: 15)
[02:11:37 -63488.152174] SLOW spr round 11 (radius: 20)
[02:12:38 -63488.152174] SLOW spr round 12 (radius: 25)
[02:13:47 -63488.152174] Model parameter optimization (eps = 0.100000)

[02:13:53] ML tree search #13, logLikelihood: -63487.964337

[02:13:53 -189174.078100] Initial branch length optimization
[02:13:54 -155175.749701] Model parameter optimization (eps = 10.000000)
[02:14:08 -154469.012026] AUTODETECT spr round 1 (radius: 5)
[02:14:27 -103492.828735] AUTODETECT spr round 2 (radius: 10)
[02:14:49 -84456.931350] AUTODETECT spr round 3 (radius: 15)
[02:15:19 -77002.926819] AUTODETECT spr round 4 (radius: 20)
[02:15:56 -72167.061977] AUTODETECT spr round 5 (radius: 25)
[02:16:31 -72037.720320] SPR radius for FAST iterations: 25 (autodetect)
[02:16:31 -72037.720320] Model parameter optimization (eps = 3.000000)
[02:16:44 -71917.347439] FAST spr round 1 (radius: 25)
[02:17:14 -64120.123102] FAST spr round 2 (radius: 25)
[02:17:36 -63544.156025] FAST spr round 3 (radius: 25)
[02:17:55 -63511.305907] FAST spr round 4 (radius: 25)
[02:18:12 -63506.822335] FAST spr round 5 (radius: 25)
[02:18:29 -63506.822228] Model parameter optimization (eps = 1.000000)
[02:18:36 -63503.721953] SLOW spr round 1 (radius: 5)
[02:19:08 -63493.686533] SLOW spr round 2 (radius: 5)
[02:19:40 -63493.252893] SLOW spr round 3 (radius: 5)
[02:20:10 -63493.251053] SLOW spr round 4 (radius: 10)
[02:20:38 -63493.250795] SLOW spr round 5 (radius: 15)
[02:21:23 -63493.250753] SLOW spr round 6 (radius: 20)
[02:22:25 -63493.250746] SLOW spr round 7 (radius: 25)
[02:23:33 -63493.250745] Model parameter optimization (eps = 0.100000)

[02:23:38] ML tree search #14, logLikelihood: -63493.143406

[02:23:38 -191103.714479] Initial branch length optimization
[02:23:39 -154970.982219] Model parameter optimization (eps = 10.000000)
[02:23:52 -154226.118580] AUTODETECT spr round 1 (radius: 5)
[02:24:11 -104952.504613] AUTODETECT spr round 2 (radius: 10)
[02:24:35 -81926.108161] AUTODETECT spr round 3 (radius: 15)
[02:25:08 -69914.802942] AUTODETECT spr round 4 (radius: 20)
[02:25:44 -68991.821971] AUTODETECT spr round 5 (radius: 25)
[02:26:23 -68877.103417] SPR radius for FAST iterations: 25 (autodetect)
[02:26:23 -68877.103417] Model parameter optimization (eps = 3.000000)
[02:26:38 -68728.223944] FAST spr round 1 (radius: 25)
[02:27:06 -64282.622343] FAST spr round 2 (radius: 25)
[02:27:27 -63526.610704] FAST spr round 3 (radius: 25)
[02:27:47 -63515.225491] FAST spr round 4 (radius: 25)
[02:28:05 -63515.222167] Model parameter optimization (eps = 1.000000)
[02:28:11 -63512.680848] SLOW spr round 1 (radius: 5)
[02:28:44 -63500.632599] SLOW spr round 2 (radius: 5)
[02:29:15 -63499.528315] SLOW spr round 3 (radius: 5)
[02:29:46 -63498.645820] SLOW spr round 4 (radius: 5)
[02:30:16 -63498.645716] SLOW spr round 5 (radius: 10)
[02:30:46 -63495.406687] SLOW spr round 6 (radius: 5)
[02:31:27 -63495.402202] SLOW spr round 7 (radius: 10)
[02:32:01 -63495.401919] SLOW spr round 8 (radius: 15)
[02:32:43 -63495.401898] SLOW spr round 9 (radius: 20)
[02:33:42 -63495.401895] SLOW spr round 10 (radius: 25)
[02:34:47 -63495.401894] Model parameter optimization (eps = 0.100000)

[02:34:52] ML tree search #15, logLikelihood: -63495.240861

[02:34:52 -192410.686377] Initial branch length optimization
[02:34:53 -158404.308696] Model parameter optimization (eps = 10.000000)
[02:35:08 -157739.759868] AUTODETECT spr round 1 (radius: 5)
[02:35:27 -105370.316215] AUTODETECT spr round 2 (radius: 10)
[02:35:49 -89668.009708] AUTODETECT spr round 3 (radius: 15)
[02:36:17 -75160.079093] AUTODETECT spr round 4 (radius: 20)
[02:36:49 -72613.077189] AUTODETECT spr round 5 (radius: 25)
[02:37:31 -72196.086748] SPR radius for FAST iterations: 25 (autodetect)
[02:37:31 -72196.086748] Model parameter optimization (eps = 3.000000)
[02:37:45 -72027.255248] FAST spr round 1 (radius: 25)
[02:38:13 -63842.869179] FAST spr round 2 (radius: 25)
[02:38:36 -63519.310859] FAST spr round 3 (radius: 25)
[02:38:56 -63504.645733] FAST spr round 4 (radius: 25)
[02:39:14 -63502.991128] FAST spr round 5 (radius: 25)
[02:39:31 -63500.336251] FAST spr round 6 (radius: 25)
[02:39:49 -63500.336037] Model parameter optimization (eps = 1.000000)
[02:39:56 -63498.405699] SLOW spr round 1 (radius: 5)
[02:40:29 -63493.480768] SLOW spr round 2 (radius: 5)
[02:41:01 -63491.435326] SLOW spr round 3 (radius: 5)
[02:41:32 -63491.434136] SLOW spr round 4 (radius: 10)
[02:42:02 -63491.094119] SLOW spr round 5 (radius: 5)
[02:42:43 -63491.094096] SLOW spr round 6 (radius: 10)
[02:43:19 -63490.670735] SLOW spr round 7 (radius: 5)
[02:43:59 -63490.668705] SLOW spr round 8 (radius: 10)
[02:44:33 -63490.668546] SLOW spr round 9 (radius: 15)
[02:45:19 -63490.668535] SLOW spr round 10 (radius: 20)
[02:46:23 -63490.668534] SLOW spr round 11 (radius: 25)
[02:47:33 -63490.668534] Model parameter optimization (eps = 0.100000)

[02:47:37] ML tree search #16, logLikelihood: -63490.564515

[02:47:37 -191706.070483] Initial branch length optimization
[02:47:38 -157035.685208] Model parameter optimization (eps = 10.000000)
[02:47:54 -156334.353650] AUTODETECT spr round 1 (radius: 5)
[02:48:13 -99010.264905] AUTODETECT spr round 2 (radius: 10)
[02:48:36 -77393.518972] AUTODETECT spr round 3 (radius: 15)
[02:49:01 -73143.970253] AUTODETECT spr round 4 (radius: 20)
[02:49:30 -72613.927210] AUTODETECT spr round 5 (radius: 25)
[02:50:01 -72073.050046] SPR radius for FAST iterations: 25 (autodetect)
[02:50:01 -72073.050046] Model parameter optimization (eps = 3.000000)
[02:50:25 -71918.429518] FAST spr round 1 (radius: 25)
[02:50:52 -65044.913500] FAST spr round 2 (radius: 25)
[02:51:17 -63757.353318] FAST spr round 3 (radius: 25)
[02:51:40 -63547.663164] FAST spr round 4 (radius: 25)
[02:52:00 -63526.924902] FAST spr round 5 (radius: 25)
[02:52:18 -63526.923847] Model parameter optimization (eps = 1.000000)
[02:52:28 -63511.588458] SLOW spr round 1 (radius: 5)
[02:53:02 -63497.226153] SLOW spr round 2 (radius: 5)
[02:53:34 -63497.104800] SLOW spr round 3 (radius: 5)
[02:54:04 -63497.104259] SLOW spr round 4 (radius: 10)
[02:54:34 -63493.376961] SLOW spr round 5 (radius: 5)
[02:55:15 -63492.539875] SLOW spr round 6 (radius: 5)
[02:55:49 -63492.539800] SLOW spr round 7 (radius: 10)
[02:56:20 -63492.539792] SLOW spr round 8 (radius: 15)
[02:57:04 -63492.539790] SLOW spr round 9 (radius: 20)
[02:58:06 -63492.539789] SLOW spr round 10 (radius: 25)
[02:59:15 -63492.539789] Model parameter optimization (eps = 0.100000)

[02:59:21] ML tree search #17, logLikelihood: -63492.173695

[02:59:21 -193050.664328] Initial branch length optimization
[02:59:22 -157673.857710] Model parameter optimization (eps = 10.000000)
[02:59:37 -156936.980824] AUTODETECT spr round 1 (radius: 5)
[02:59:56 -103168.314289] AUTODETECT spr round 2 (radius: 10)
[03:00:19 -82364.249960] AUTODETECT spr round 3 (radius: 15)
[03:00:49 -69561.504034] AUTODETECT spr round 4 (radius: 20)
[03:01:20 -68695.920975] AUTODETECT spr round 5 (radius: 25)
[03:01:54 -68695.909058] SPR radius for FAST iterations: 20 (autodetect)
[03:01:54 -68695.909058] Model parameter optimization (eps = 3.000000)
[03:02:07 -68539.821893] FAST spr round 1 (radius: 20)
[03:02:33 -63758.017420] FAST spr round 2 (radius: 20)
[03:02:55 -63532.887581] FAST spr round 3 (radius: 20)
[03:03:17 -63502.770077] FAST spr round 4 (radius: 20)
[03:03:35 -63501.792277] FAST spr round 5 (radius: 20)
[03:03:52 -63501.791151] Model parameter optimization (eps = 1.000000)
[03:03:59 -63498.615058] SLOW spr round 1 (radius: 5)
[03:04:32 -63494.421912] SLOW spr round 2 (radius: 5)
[03:05:05 -63491.255634] SLOW spr round 3 (radius: 5)
[03:05:36 -63491.252478] SLOW spr round 4 (radius: 10)
[03:06:06 -63491.252064] SLOW spr round 5 (radius: 15)
[03:06:52 -63491.251960] SLOW spr round 6 (radius: 20)
[03:07:55 -63491.251927] SLOW spr round 7 (radius: 25)
[03:09:05 -63491.251914] Model parameter optimization (eps = 0.100000)

[03:09:10] ML tree search #18, logLikelihood: -63490.918848

[03:09:10 -193030.811126] Initial branch length optimization
[03:09:11 -157502.402178] Model parameter optimization (eps = 10.000000)
[03:09:30 -156822.366177] AUTODETECT spr round 1 (radius: 5)
[03:09:49 -104845.676374] AUTODETECT spr round 2 (radius: 10)
[03:10:14 -80657.426374] AUTODETECT spr round 3 (radius: 15)
[03:10:42 -70392.541956] AUTODETECT spr round 4 (radius: 20)
[03:11:14 -68720.739992] AUTODETECT spr round 5 (radius: 25)
[03:11:49 -68663.675781] SPR radius for FAST iterations: 25 (autodetect)
[03:11:49 -68663.675781] Model parameter optimization (eps = 3.000000)
[03:12:01 -68505.871428] FAST spr round 1 (radius: 25)
[03:12:29 -63750.436509] FAST spr round 2 (radius: 25)
[03:12:53 -63534.767306] FAST spr round 3 (radius: 25)
[03:13:13 -63521.017687] FAST spr round 4 (radius: 25)
[03:13:34 -63510.872582] FAST spr round 5 (radius: 25)
[03:13:52 -63510.872492] Model parameter optimization (eps = 1.000000)
[03:14:00 -63506.745757] SLOW spr round 1 (radius: 5)
[03:14:33 -63492.905371] SLOW spr round 2 (radius: 5)
[03:15:04 -63492.903843] SLOW spr round 3 (radius: 10)
[03:15:34 -63492.903215] SLOW spr round 4 (radius: 15)
[03:16:20 -63492.902948] SLOW spr round 5 (radius: 20)
[03:17:17 -63492.902833] SLOW spr round 6 (radius: 25)
[03:18:25 -63492.902783] Model parameter optimization (eps = 0.100000)

[03:18:28] ML tree search #19, logLikelihood: -63492.892800

[03:18:28 -192712.050194] Initial branch length optimization
[03:18:28 -156324.613509] Model parameter optimization (eps = 10.000000)
[03:18:44 -155590.154151] AUTODETECT spr round 1 (radius: 5)
[03:19:03 -102429.408742] AUTODETECT spr round 2 (radius: 10)
[03:19:26 -81764.571770] AUTODETECT spr round 3 (radius: 15)
[03:19:55 -70805.458496] AUTODETECT spr round 4 (radius: 20)
[03:20:28 -68707.893870] AUTODETECT spr round 5 (radius: 25)
[03:21:04 -68455.299581] SPR radius for FAST iterations: 25 (autodetect)
[03:21:04 -68455.299581] Model parameter optimization (eps = 3.000000)
[03:21:19 -68316.392908] FAST spr round 1 (radius: 25)
[03:21:46 -63845.481533] FAST spr round 2 (radius: 25)
[03:22:08 -63540.085305] FAST spr round 3 (radius: 25)
[03:22:30 -63498.070906] FAST spr round 4 (radius: 25)
[03:22:48 -63498.069117] Model parameter optimization (eps = 1.000000)
[03:22:57 -63494.420698] SLOW spr round 1 (radius: 5)
[03:23:30 -63488.265855] SLOW spr round 2 (radius: 5)
[03:24:01 -63488.263188] SLOW spr round 3 (radius: 10)
[03:24:31 -63488.262170] SLOW spr round 4 (radius: 15)
[03:25:17 -63488.261740] SLOW spr round 5 (radius: 20)
[03:26:17 -63488.261555] SLOW spr round 6 (radius: 25)
[03:27:25 -63488.261476] Model parameter optimization (eps = 0.100000)

[03:27:28] ML tree search #20, logLikelihood: -63488.237326


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.197431,0.596835) (0.206417,0.629753) (0.427103,0.912695) (0.169049,2.143521) 
   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: -63487.964337

AIC score: 128237.928674 / AICc score: 925821.928674 / BIC score: 130848.834445
Free parameters (model + branch lengths): 631

WARNING: Number of free parameters (K=631) is larger than alignment size (n=463).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/O14926/3_mltree/O14926.raxml.log

Analysis started: 26-Jul-2021 00:10:20 / finished: 26-Jul-2021 03:37:48

Elapsed time: 12448.590 seconds

Consumed energy: 497.090 Wh (= 2 km in an electric car, or 12 km with an e-scooter!)