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 13-Jul-2021 19:04:56 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/2_msa/Q9UFH2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/2_msa/Q9UFH2_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 3876 sites

WARNING: Sequences tr_F7HBY3_F7HBY3_MACMU_9544 and tr_G7PTJ2_G7PTJ2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F4P414_F4P414_BATDJ_684364 and tr_A0A177WFG4_A0A177WFG4_BATDE_403673 are exactly identical!
WARNING: Sequences tr_W2PWD2_W2PWD2_PHYPN_761204 and tr_W2KQW1_W2KQW1_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_W2QG96_W2QG96_PHYPN_761204 and tr_W2LLL2_W2LLL2_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A2D0SB28_A0A2D0SB28_ICTPU_7998 and tr_A0A2D0SB34_A0A2D0SB34_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 5

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/Q9UFH2/3_mltree/Q9UFH2.raxml.reduced.phy

Alignment comprises 1 partitions and 3876 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 3876 / 3876
Gaps: 6.02 %
Invariant sites: 0.18 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 9 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 / 431 / 34480
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -7157599.916928] Initial branch length optimization
[00:00:15 -5974862.794411] Model parameter optimization (eps = 10.000000)
[00:02:32 -5960694.269170] AUTODETECT spr round 1 (radius: 5)
[00:09:08 -4448137.620621] AUTODETECT spr round 2 (radius: 10)
[00:16:58 -3380923.654573] AUTODETECT spr round 3 (radius: 15)
[00:25:52 -2668364.559783] AUTODETECT spr round 4 (radius: 20)
[00:35:44 -2433762.803381] AUTODETECT spr round 5 (radius: 25)
[00:47:49 -2387480.281168] SPR radius for FAST iterations: 25 (autodetect)
[00:47:49 -2387480.281168] Model parameter optimization (eps = 3.000000)
[00:48:07 -2387470.018491] FAST spr round 1 (radius: 25)
[00:56:41 -2116170.978480] FAST spr round 2 (radius: 25)
[01:02:43 -2106614.601836] FAST spr round 3 (radius: 25)
[01:08:04 -2105518.871643] FAST spr round 4 (radius: 25)
[01:12:42 -2105472.146913] FAST spr round 5 (radius: 25)
[01:16:59 -2105459.723342] FAST spr round 6 (radius: 25)
[01:21:11 -2105448.037529] FAST spr round 7 (radius: 25)
[01:25:21 -2105443.546392] FAST spr round 8 (radius: 25)
[01:29:30 -2105443.524738] Model parameter optimization (eps = 1.000000)
[01:30:04 -2105058.055256] SLOW spr round 1 (radius: 5)
[01:36:42 -2104762.753649] SLOW spr round 2 (radius: 5)
[01:42:37 -2104758.046049] SLOW spr round 3 (radius: 5)
[01:48:25 -2104758.045997] SLOW spr round 4 (radius: 10)
[01:54:35 -2104758.045988] SLOW spr round 5 (radius: 15)
[02:07:04 -2104758.045986] SLOW spr round 6 (radius: 20)
[02:29:00 -2104758.045985] SLOW spr round 7 (radius: 25)
[02:59:01 -2104758.045985] Model parameter optimization (eps = 0.100000)

[02:59:11] ML tree search #1, logLikelihood: -2104758.005934

[02:59:12 -7131716.803229] Initial branch length optimization
[02:59:28 -5979873.823937] Model parameter optimization (eps = 10.000000)
[03:01:45 -5966117.534186] AUTODETECT spr round 1 (radius: 5)
[03:08:25 -4375581.893876] AUTODETECT spr round 2 (radius: 10)
[03:16:06 -3304031.139655] AUTODETECT spr round 3 (radius: 15)
[03:24:38 -2837507.968381] AUTODETECT spr round 4 (radius: 20)
[03:37:04 -2549936.196678] AUTODETECT spr round 5 (radius: 25)
[03:51:12 -2471800.967535] SPR radius for FAST iterations: 25 (autodetect)
[03:51:12 -2471800.967535] Model parameter optimization (eps = 3.000000)
[03:51:35 -2471768.516658] FAST spr round 1 (radius: 25)
[04:00:31 -2117203.981466] FAST spr round 2 (radius: 25)
[04:06:38 -2105863.252940] FAST spr round 3 (radius: 25)
[04:12:01 -2105484.849711] FAST spr round 4 (radius: 25)
[04:16:29 -2105470.620951] FAST spr round 5 (radius: 25)
[04:20:44 -2105458.785616] FAST spr round 6 (radius: 25)
[04:24:54 -2105452.194957] FAST spr round 7 (radius: 25)
[04:29:02 -2105449.916417] FAST spr round 8 (radius: 25)
[04:33:07 -2105449.893431] Model parameter optimization (eps = 1.000000)
[04:33:24 -2105446.854350] SLOW spr round 1 (radius: 5)
[04:40:09 -2105190.474852] SLOW spr round 2 (radius: 5)
[04:46:09 -2105185.752829] SLOW spr round 3 (radius: 5)
[04:51:59 -2105185.752812] SLOW spr round 4 (radius: 10)
[04:58:15 -2105185.752811] SLOW spr round 5 (radius: 15)
[05:10:50 -2105185.752811] SLOW spr round 6 (radius: 20)
[05:32:45 -2105185.752811] SLOW spr round 7 (radius: 25)
[06:02:29 -2105185.752811] Model parameter optimization (eps = 0.100000)

[06:02:37] ML tree search #2, logLikelihood: -2105185.751127

[06:02:38 -7116033.749139] Initial branch length optimization
[06:02:52 -5959044.233763] Model parameter optimization (eps = 10.000000)
[06:06:24 -5945304.479306] AUTODETECT spr round 1 (radius: 5)
[06:13:06 -4348678.783607] AUTODETECT spr round 2 (radius: 10)
[06:20:39 -3468647.745860] AUTODETECT spr round 3 (radius: 15)
[06:29:19 -2977882.490796] AUTODETECT spr round 4 (radius: 20)
[06:41:39 -2683328.009375] AUTODETECT spr round 5 (radius: 25)
[06:55:09 -2478272.443045] SPR radius for FAST iterations: 25 (autodetect)
[06:55:09 -2478272.443045] Model parameter optimization (eps = 3.000000)
[06:56:02 -2477972.016240] FAST spr round 1 (radius: 25)
[07:05:18 -2118094.819313] FAST spr round 2 (radius: 25)
[07:11:42 -2105495.979271] FAST spr round 3 (radius: 25)
[07:17:08 -2105175.416058] FAST spr round 4 (radius: 25)
[07:21:42 -2105133.183866] FAST spr round 5 (radius: 25)
[07:26:04 -2105084.267137] FAST spr round 6 (radius: 25)
[07:30:17 -2105069.734355] FAST spr round 7 (radius: 25)
[07:34:27 -2105061.140606] FAST spr round 8 (radius: 25)
[07:38:36 -2105059.970754] FAST spr round 9 (radius: 25)
[07:42:42 -2105059.938019] Model parameter optimization (eps = 1.000000)
[07:43:21 -2105039.365285] SLOW spr round 1 (radius: 5)
[07:50:01 -2104773.010654] SLOW spr round 2 (radius: 5)
[07:56:12 -2104763.168855] SLOW spr round 3 (radius: 5)
[08:02:06 -2104755.361155] SLOW spr round 4 (radius: 5)
[08:07:55 -2104755.361148] SLOW spr round 5 (radius: 10)
[08:14:06 -2104755.361147] SLOW spr round 6 (radius: 15)
[08:26:33 -2104755.361147] SLOW spr round 7 (radius: 20)
[08:48:31 -2104755.361147] SLOW spr round 8 (radius: 25)
[09:18:39 -2104755.361147] Model parameter optimization (eps = 0.100000)

[09:19:02] ML tree search #3, logLikelihood: -2104755.147596

[09:19:02 -7097813.034877] Initial branch length optimization
[09:19:22 -5962398.560162] Model parameter optimization (eps = 10.000000)
[09:22:43 -5948758.317277] AUTODETECT spr round 1 (radius: 5)
[09:29:27 -4423829.776698] AUTODETECT spr round 2 (radius: 10)
[09:37:06 -3460313.202618] AUTODETECT spr round 3 (radius: 15)
[09:45:11 -2865150.032035] AUTODETECT spr round 4 (radius: 20)
[09:56:35 -2716334.270403] AUTODETECT spr round 5 (radius: 25)
[10:07:44 -2578226.949029] SPR radius for FAST iterations: 25 (autodetect)
[10:07:44 -2578226.949029] Model parameter optimization (eps = 3.000000)
[10:08:07 -2578205.927876] FAST spr round 1 (radius: 25)
[10:17:38 -2119724.938556] FAST spr round 2 (radius: 25)
[10:24:07 -2106413.173021] FAST spr round 3 (radius: 25)
[10:29:35 -2105698.671157] FAST spr round 4 (radius: 25)
[10:34:19 -2105470.862821] FAST spr round 5 (radius: 25)
[10:38:36 -2105457.076817] FAST spr round 6 (radius: 25)
[10:42:45 -2105453.061304] FAST spr round 7 (radius: 25)
[10:47:04 -2105428.085105] FAST spr round 8 (radius: 25)
[10:51:10 -2105426.927679] FAST spr round 9 (radius: 25)
[10:55:15 -2105426.756041] FAST spr round 10 (radius: 25)
[10:59:19 -2105426.739107] Model parameter optimization (eps = 1.000000)
[10:59:36 -2105423.465018] SLOW spr round 1 (radius: 5)
[11:06:19 -2105140.833475] SLOW spr round 2 (radius: 5)
[11:12:30 -2105117.922690] SLOW spr round 3 (radius: 5)
[11:18:26 -2105115.732423] SLOW spr round 4 (radius: 5)
[11:24:18 -2105115.732416] SLOW spr round 5 (radius: 10)
[11:30:37 -2105115.732416] SLOW spr round 6 (radius: 15)
[11:43:17 -2105115.732416] SLOW spr round 7 (radius: 20)
[12:05:51 -2105115.732416] SLOW spr round 8 (radius: 25)
[12:36:27 -2105115.732416] Model parameter optimization (eps = 0.100000)

[12:36:38] ML tree search #4, logLikelihood: -2105115.718861

[12:36:39 -7131430.523275] Initial branch length optimization
[12:36:53 -5977709.913030] Model parameter optimization (eps = 10.000000)
[12:39:07 -5963409.574653] AUTODETECT spr round 1 (radius: 5)
[12:45:43 -4379087.672642] AUTODETECT spr round 2 (radius: 10)
[12:53:25 -3424971.071379] AUTODETECT spr round 3 (radius: 15)
[13:01:41 -2958769.460991] AUTODETECT spr round 4 (radius: 20)
[13:13:21 -2634169.386515] AUTODETECT spr round 5 (radius: 25)
[13:26:40 -2484851.894409] SPR radius for FAST iterations: 25 (autodetect)
[13:26:40 -2484851.894409] Model parameter optimization (eps = 3.000000)
[13:27:20 -2484485.858476] FAST spr round 1 (radius: 25)
[13:36:21 -2124579.699593] FAST spr round 2 (radius: 25)
[13:42:39 -2105861.153948] FAST spr round 3 (radius: 25)
[13:48:18 -2105185.344727] FAST spr round 4 (radius: 25)
[13:53:01 -2105114.816305] FAST spr round 5 (radius: 25)
[13:57:16 -2105110.121966] FAST spr round 6 (radius: 25)
[14:01:24 -2105107.592109] FAST spr round 7 (radius: 25)
[14:05:30 -2105105.955365] FAST spr round 8 (radius: 25)
[14:09:53 -2105069.750117] FAST spr round 9 (radius: 25)
[14:13:57 -2105069.750093] Model parameter optimization (eps = 1.000000)
[14:14:13 -2105068.524843] SLOW spr round 1 (radius: 5)
[14:21:00 -2104801.186429] SLOW spr round 2 (radius: 5)
[14:27:13 -2104785.969675] SLOW spr round 3 (radius: 5)
[14:33:04 -2104785.894850] SLOW spr round 4 (radius: 10)
[14:39:20 -2104785.894807] SLOW spr round 5 (radius: 15)
[14:51:50 -2104785.894801] SLOW spr round 6 (radius: 20)
[15:13:59 -2104785.894800] SLOW spr round 7 (radius: 25)
[15:43:45 -2104785.894800] Model parameter optimization (eps = 0.100000)

[15:43:56] ML tree search #5, logLikelihood: -2104785.889655

[15:43:56 -7038275.142210] Initial branch length optimization
[15:44:13 -5922135.359820] Model parameter optimization (eps = 10.000000)
[15:45:46 -5908440.991839] AUTODETECT spr round 1 (radius: 5)
[15:52:22 -4435590.724340] AUTODETECT spr round 2 (radius: 10)
[16:00:02 -3333602.817691] AUTODETECT spr round 3 (radius: 15)
[16:08:27 -2688428.983599] AUTODETECT spr round 4 (radius: 20)
[16:17:17 -2442627.495040] AUTODETECT spr round 5 (radius: 25)
[16:28:31 -2409384.027018] SPR radius for FAST iterations: 25 (autodetect)
[16:28:31 -2409384.027018] Model parameter optimization (eps = 3.000000)
[16:29:15 -2408934.898855] FAST spr round 1 (radius: 25)
[16:38:07 -2114834.947155] FAST spr round 2 (radius: 25)
[16:44:10 -2105578.346793] FAST spr round 3 (radius: 25)
[16:49:23 -2105154.090491] FAST spr round 4 (radius: 25)
[16:53:43 -2105145.478282] FAST spr round 5 (radius: 25)
[16:57:55 -2105142.537775] FAST spr round 6 (radius: 25)
[17:02:03 -2105141.133000] FAST spr round 7 (radius: 25)
[17:06:09 -2105141.133000] Model parameter optimization (eps = 1.000000)
[17:06:51 -2105132.572914] SLOW spr round 1 (radius: 5)
[17:13:44 -2104794.042921] SLOW spr round 2 (radius: 5)
[17:19:48 -2104785.594137] SLOW spr round 3 (radius: 5)
[17:25:41 -2104785.593209] SLOW spr round 4 (radius: 10)
[17:31:56 -2104785.593096] SLOW spr round 5 (radius: 15)
[17:44:28 -2104785.593082] SLOW spr round 6 (radius: 20)
[18:06:28 -2104785.593080] SLOW spr round 7 (radius: 25)
[18:36:22 -2104785.593080] Model parameter optimization (eps = 0.100000)

[18:36:55] ML tree search #6, logLikelihood: -2104785.179424

[18:36:55 -7108817.991834] Initial branch length optimization
[18:37:10 -5938139.877252] Model parameter optimization (eps = 10.000000)
[18:39:53 -5924880.913321] AUTODETECT spr round 1 (radius: 5)
[18:46:29 -4400409.395366] AUTODETECT spr round 2 (radius: 10)
[18:54:00 -3526016.672045] AUTODETECT spr round 3 (radius: 15)
[19:02:58 -2910086.015422] AUTODETECT spr round 4 (radius: 20)
[19:14:52 -2654329.629836] AUTODETECT spr round 5 (radius: 25)
[19:29:02 -2502896.035082] SPR radius for FAST iterations: 25 (autodetect)
[19:29:02 -2502896.035082] Model parameter optimization (eps = 3.000000)
[19:29:21 -2502888.208137] FAST spr round 1 (radius: 25)
[19:38:41 -2124458.957727] FAST spr round 2 (radius: 25)
[19:45:11 -2106177.726724] FAST spr round 3 (radius: 25)
[19:50:33 -2105455.589921] FAST spr round 4 (radius: 25)
[19:55:01 -2105432.520921] FAST spr round 5 (radius: 25)
[19:59:20 -2105402.905064] FAST spr round 6 (radius: 25)
[20:03:29 -2105402.727518] FAST spr round 7 (radius: 25)
[20:07:35 -2105402.710592] Model parameter optimization (eps = 1.000000)
[20:08:09 -2105046.525684] SLOW spr round 1 (radius: 5)
[20:14:49 -2104770.037030] SLOW spr round 2 (radius: 5)
[20:20:53 -2104763.709044] SLOW spr round 3 (radius: 5)
[20:26:48 -2104759.828537] SLOW spr round 4 (radius: 5)
[20:32:38 -2104759.828528] SLOW spr round 5 (radius: 10)
[20:38:51 -2104759.828527] SLOW spr round 6 (radius: 15)
[20:51:32 -2104759.828527] SLOW spr round 7 (radius: 20)
[21:13:56 -2104759.828527] SLOW spr round 8 (radius: 25)
[21:44:29 -2104759.828527] Model parameter optimization (eps = 0.100000)

[21:44:37] ML tree search #7, logLikelihood: -2104759.826839

[21:44:37 -7039288.701454] Initial branch length optimization
[21:44:55 -5912660.756340] Model parameter optimization (eps = 10.000000)
[21:46:38 -5898952.815622] AUTODETECT spr round 1 (radius: 5)
[21:53:20 -4361502.703537] AUTODETECT spr round 2 (radius: 10)
[22:01:08 -3357176.371524] AUTODETECT spr round 3 (radius: 15)
[22:09:15 -2977343.474760] AUTODETECT spr round 4 (radius: 20)
[22:19:09 -2713952.655184] AUTODETECT spr round 5 (radius: 25)
[22:29:44 -2574735.375193] SPR radius for FAST iterations: 25 (autodetect)
[22:29:44 -2574735.375193] Model parameter optimization (eps = 3.000000)
[22:30:06 -2574725.813151] FAST spr round 1 (radius: 25)
[22:39:27 -2122974.744750] FAST spr round 2 (radius: 25)
[22:45:39 -2106454.478934] FAST spr round 3 (radius: 25)
[22:51:14 -2105488.521883] FAST spr round 4 (radius: 25)
[22:55:43 -2105468.711598] FAST spr round 5 (radius: 25)
[22:59:56 -2105460.148348] FAST spr round 6 (radius: 25)
[23:04:04 -2105459.931687] FAST spr round 7 (radius: 25)
[23:08:10 -2105459.885640] Model parameter optimization (eps = 1.000000)
[23:08:52 -2105076.338541] SLOW spr round 1 (radius: 5)
[23:15:33 -2104797.564061] SLOW spr round 2 (radius: 5)
[23:21:38 -2104789.119156] SLOW spr round 3 (radius: 5)
[23:27:30 -2104789.053660] SLOW spr round 4 (radius: 10)
[23:33:44 -2104789.053637] SLOW spr round 5 (radius: 15)
[23:46:19 -2104789.053634] SLOW spr round 6 (radius: 20)
[24:08:24 -2104789.053633] SLOW spr round 7 (radius: 25)
[24:38:29 -2104789.053633] Model parameter optimization (eps = 0.100000)

[24:38:50] ML tree search #8, logLikelihood: -2104788.906954

[24:38:50 -7065879.252672] Initial branch length optimization
[24:39:10 -5938122.663628] Model parameter optimization (eps = 10.000000)
[24:41:37 -5924452.509654] AUTODETECT spr round 1 (radius: 5)
[24:48:08 -4461257.832079] AUTODETECT spr round 2 (radius: 10)
[24:55:51 -3446307.008533] AUTODETECT spr round 3 (radius: 15)
[25:04:17 -2875653.724201] AUTODETECT spr round 4 (radius: 20)
[25:14:26 -2644579.399309] AUTODETECT spr round 5 (radius: 25)
[25:25:28 -2537642.576332] SPR radius for FAST iterations: 25 (autodetect)
[25:25:28 -2537642.576332] Model parameter optimization (eps = 3.000000)
[25:25:47 -2537634.925815] FAST spr round 1 (radius: 25)
[25:35:14 -2127084.763756] FAST spr round 2 (radius: 25)
[25:41:45 -2107240.463882] FAST spr round 3 (radius: 25)
[25:47:29 -2105805.739864] FAST spr round 4 (radius: 25)
[25:52:15 -2105546.556622] FAST spr round 5 (radius: 25)
[25:56:26 -2105543.069584] FAST spr round 6 (radius: 25)
[26:00:32 -2105541.663997] FAST spr round 7 (radius: 25)
[26:04:35 -2105541.663997] Model parameter optimization (eps = 1.000000)
[26:04:54 -2105539.528688] SLOW spr round 1 (radius: 5)
[26:11:53 -2105201.245531] SLOW spr round 2 (radius: 5)
[26:17:56 -2105185.201199] SLOW spr round 3 (radius: 5)
[26:23:48 -2105185.201188] SLOW spr round 4 (radius: 10)
[26:30:04 -2105185.201187] SLOW spr round 5 (radius: 15)
[26:42:46 -2105185.201187] SLOW spr round 6 (radius: 20)
[27:05:13 -2105185.201187] SLOW spr round 7 (radius: 25)
[27:35:48 -2105185.201187] Model parameter optimization (eps = 0.100000)

[27:35:52] ML tree search #9, logLikelihood: -2105185.200360

[27:35:53 -7083092.166340] Initial branch length optimization
[27:36:11 -5925682.418741] Model parameter optimization (eps = 10.000000)
[27:38:20 -5911954.499957] AUTODETECT spr round 1 (radius: 5)
[27:44:55 -4363257.364529] AUTODETECT spr round 2 (radius: 10)
[27:52:35 -3265565.995121] AUTODETECT spr round 3 (radius: 15)
[28:00:35 -2757108.219223] AUTODETECT spr round 4 (radius: 20)
[28:10:39 -2508526.641172] AUTODETECT spr round 5 (radius: 25)
[28:23:28 -2434721.138796] SPR radius for FAST iterations: 25 (autodetect)
[28:23:28 -2434721.138796] Model parameter optimization (eps = 3.000000)
[28:23:53 -2434715.113772] FAST spr round 1 (radius: 25)
[28:33:03 -2114948.872625] FAST spr round 2 (radius: 25)
[28:39:08 -2105934.417542] FAST spr round 3 (radius: 25)
[28:44:31 -2105484.393931] FAST spr round 4 (radius: 25)
[28:49:00 -2105461.169533] FAST spr round 5 (radius: 25)
[28:53:12 -2105458.634904] FAST spr round 6 (radius: 25)
[28:57:20 -2105456.814793] FAST spr round 7 (radius: 25)
[29:01:29 -2105451.817204] FAST spr round 8 (radius: 25)
[29:05:34 -2105450.644311] FAST spr round 9 (radius: 25)
[29:09:38 -2105450.471615] FAST spr round 10 (radius: 25)
[29:13:41 -2105450.470925] Model parameter optimization (eps = 1.000000)
[29:14:01 -2105447.853392] SLOW spr round 1 (radius: 5)
[29:20:52 -2105125.316877] SLOW spr round 2 (radius: 5)
[29:26:52 -2105123.292937] SLOW spr round 3 (radius: 5)
[29:32:45 -2105123.292912] SLOW spr round 4 (radius: 10)
[29:39:00 -2105123.292911] SLOW spr round 5 (radius: 15)
[29:51:46 -2105123.292911] SLOW spr round 6 (radius: 20)
[30:14:18 -2105123.292911] SLOW spr round 7 (radius: 25)
[30:45:08 -2105123.292911] Model parameter optimization (eps = 0.100000)

[30:45:16] ML tree search #10, logLikelihood: -2105123.290731

[30:45:16 -7063115.163134] Initial branch length optimization
[30:45:31 -5929862.055037] Model parameter optimization (eps = 10.000000)
[30:47:34 -5916623.036931] AUTODETECT spr round 1 (radius: 5)
[30:54:15 -4434305.950637] AUTODETECT spr round 2 (radius: 10)
[31:01:48 -3368363.989589] AUTODETECT spr round 3 (radius: 15)
[31:10:43 -2790189.752793] AUTODETECT spr round 4 (radius: 20)
[31:21:29 -2586384.901067] AUTODETECT spr round 5 (radius: 25)
[31:33:26 -2502295.274816] SPR radius for FAST iterations: 25 (autodetect)
[31:33:26 -2502295.274816] Model parameter optimization (eps = 3.000000)
[31:33:46 -2502285.568060] FAST spr round 1 (radius: 25)
[31:43:23 -2119601.704286] FAST spr round 2 (radius: 25)
[31:49:25 -2106034.480063] FAST spr round 3 (radius: 25)
[31:54:48 -2105584.746651] FAST spr round 4 (radius: 25)
[31:59:19 -2105559.128960] FAST spr round 5 (radius: 25)
[32:03:35 -2105555.803893] FAST spr round 6 (radius: 25)
[32:07:47 -2105553.550832] FAST spr round 7 (radius: 25)
[32:11:55 -2105551.672658] FAST spr round 8 (radius: 25)
[32:16:02 -2105527.698808] FAST spr round 9 (radius: 25)
[32:20:06 -2105525.692680] FAST spr round 10 (radius: 25)
[32:24:18 -2105493.397974] FAST spr round 11 (radius: 25)
[32:28:22 -2105493.219603] FAST spr round 12 (radius: 25)
[32:32:26 -2105493.219603] Model parameter optimization (eps = 1.000000)
[32:32:37 -2105492.297576] SLOW spr round 1 (radius: 5)
[32:39:25 -2105143.756332] SLOW spr round 2 (radius: 5)
[32:45:26 -2105138.874334] SLOW spr round 3 (radius: 5)
[32:51:18 -2105138.874313] SLOW spr round 4 (radius: 10)
[32:57:35 -2105138.874312] SLOW spr round 5 (radius: 15)
[33:10:12 -2105138.874312] SLOW spr round 6 (radius: 20)
[33:32:22 -2105138.874312] SLOW spr round 7 (radius: 25)
[34:02:29 -2105138.874312] Model parameter optimization (eps = 0.100000)

[34:02:38] ML tree search #11, logLikelihood: -2105138.864582

[34:02:38 -7055769.580477] Initial branch length optimization
[34:02:55 -5957850.844387] Model parameter optimization (eps = 10.000000)
[34:05:39 -5944055.554012] AUTODETECT spr round 1 (radius: 5)
[34:12:17 -4387626.001386] AUTODETECT spr round 2 (radius: 10)
[34:19:55 -3412661.286860] AUTODETECT spr round 3 (radius: 15)
[34:28:11 -2953479.701561] AUTODETECT spr round 4 (radius: 20)
[34:37:58 -2686367.890525] AUTODETECT spr round 5 (radius: 25)
[34:49:21 -2528528.238770] SPR radius for FAST iterations: 25 (autodetect)
[34:49:21 -2528528.238770] Model parameter optimization (eps = 3.000000)
[34:49:40 -2528519.971864] FAST spr round 1 (radius: 25)
[34:58:52 -2123872.022669] FAST spr round 2 (radius: 25)
[35:05:07 -2106182.924177] FAST spr round 3 (radius: 25)
[35:10:35 -2105423.473266] FAST spr round 4 (radius: 25)
[35:15:19 -2105360.659054] FAST spr round 5 (radius: 25)
[35:19:33 -2105357.320632] FAST spr round 6 (radius: 25)
[35:23:43 -2105357.303718] Model parameter optimization (eps = 1.000000)
[35:24:25 -2105033.609387] SLOW spr round 1 (radius: 5)
[35:31:16 -2104763.793313] SLOW spr round 2 (radius: 5)
[35:37:19 -2104759.884545] SLOW spr round 3 (radius: 5)
[35:43:13 -2104756.407479] SLOW spr round 4 (radius: 5)
[35:49:03 -2104756.407461] SLOW spr round 5 (radius: 10)
[35:55:15 -2104756.407459] SLOW spr round 6 (radius: 15)
[36:07:44 -2104756.407459] SLOW spr round 7 (radius: 20)
[36:29:44 -2104756.407459] SLOW spr round 8 (radius: 25)
[36:59:56 -2104756.407459] Model parameter optimization (eps = 0.100000)

[37:00:19] ML tree search #12, logLikelihood: -2104756.081608

[37:00:20 -7128978.392027] Initial branch length optimization
[37:00:40 -5972700.081386] Model parameter optimization (eps = 10.000000)
[37:02:52 -5958919.343247] AUTODETECT spr round 1 (radius: 5)
[37:09:31 -4415845.569176] AUTODETECT spr round 2 (radius: 10)
[37:17:03 -3503158.623109] AUTODETECT spr round 3 (radius: 15)
[37:25:12 -2970134.238125] AUTODETECT spr round 4 (radius: 20)
[37:36:22 -2589475.277848] AUTODETECT spr round 5 (radius: 25)
[37:48:09 -2484700.391464] SPR radius for FAST iterations: 25 (autodetect)
[37:48:09 -2484700.391464] Model parameter optimization (eps = 3.000000)
[37:48:30 -2484693.361542] FAST spr round 1 (radius: 25)
[37:57:26 -2120122.648411] FAST spr round 2 (radius: 25)
[38:03:26 -2105992.269809] FAST spr round 3 (radius: 25)
[38:08:47 -2105470.966970] FAST spr round 4 (radius: 25)
[38:13:05 -2105459.190991] FAST spr round 5 (radius: 25)
[38:17:15 -2105449.353931] FAST spr round 6 (radius: 25)
[38:21:20 -2105445.944591] FAST spr round 7 (radius: 25)
[38:25:23 -2105445.609376] FAST spr round 8 (radius: 25)
[38:29:25 -2105445.436302] FAST spr round 9 (radius: 25)
[38:33:26 -2105445.436302] Model parameter optimization (eps = 1.000000)
[38:34:02 -2105069.770180] SLOW spr round 1 (radius: 5)
[38:40:49 -2104802.086029] SLOW spr round 2 (radius: 5)
[38:46:49 -2104786.626214] SLOW spr round 3 (radius: 5)
[38:52:39 -2104786.626148] SLOW spr round 4 (radius: 10)
[38:58:52 -2104786.626135] SLOW spr round 5 (radius: 15)
[39:11:20 -2104786.626133] SLOW spr round 6 (radius: 20)
[39:33:27 -2104786.626132] SLOW spr round 7 (radius: 25)
[40:03:38 -2104786.626132] Model parameter optimization (eps = 0.100000)

[40:03:59] ML tree search #13, logLikelihood: -2104786.347878

[40:03:59 -7092282.300804] Initial branch length optimization
[40:04:15 -5958460.465406] Model parameter optimization (eps = 10.000000)
[40:06:55 -5944793.729834] AUTODETECT spr round 1 (radius: 5)
[40:13:31 -4441829.878956] AUTODETECT spr round 2 (radius: 10)
[40:21:08 -3478294.247863] AUTODETECT spr round 3 (radius: 15)
[40:29:30 -2932793.603865] AUTODETECT spr round 4 (radius: 20)
[40:40:40 -2589173.340357] AUTODETECT spr round 5 (radius: 25)
[40:53:41 -2521986.663233] SPR radius for FAST iterations: 25 (autodetect)
[40:53:41 -2521986.663233] Model parameter optimization (eps = 3.000000)
[40:54:00 -2521981.259128] FAST spr round 1 (radius: 25)
[41:03:27 -2121389.078450] FAST spr round 2 (radius: 25)
[41:09:58 -2106089.266376] FAST spr round 3 (radius: 25)
[41:15:24 -2105547.032423] FAST spr round 4 (radius: 25)
[41:20:01 -2105476.106387] FAST spr round 5 (radius: 25)
[41:24:22 -2105466.649588] FAST spr round 6 (radius: 25)
[41:28:42 -2105444.687332] FAST spr round 7 (radius: 25)
[41:32:52 -2105440.165477] FAST spr round 8 (radius: 25)
[41:36:59 -2105439.109776] FAST spr round 9 (radius: 25)
[41:41:18 -2105419.468960] FAST spr round 10 (radius: 25)
[41:45:24 -2105419.468868] Model parameter optimization (eps = 1.000000)
[41:45:40 -2105417.982464] SLOW spr round 1 (radius: 5)
[41:52:24 -2105165.572898] SLOW spr round 2 (radius: 5)
[41:58:23 -2105160.022039] SLOW spr round 3 (radius: 5)
[42:04:15 -2105160.021978] SLOW spr round 4 (radius: 10)
[42:10:31 -2105160.021976] SLOW spr round 5 (radius: 15)
[42:23:12 -2105160.021975] SLOW spr round 6 (radius: 20)
[42:45:33 -2105160.021975] SLOW spr round 7 (radius: 25)
[43:15:47 -2105160.021975] Model parameter optimization (eps = 0.100000)

[43:15:55] ML tree search #14, logLikelihood: -2105160.019241

[43:15:55 -7092646.043581] Initial branch length optimization
[43:16:14 -5945996.773081] Model parameter optimization (eps = 10.000000)
[43:18:53 -5932507.796491] AUTODETECT spr round 1 (radius: 5)
[43:25:33 -4384249.846912] AUTODETECT spr round 2 (radius: 10)
[43:33:10 -3338614.928228] AUTODETECT spr round 3 (radius: 15)
[43:41:45 -2864455.900181] AUTODETECT spr round 4 (radius: 20)
[43:52:22 -2568383.955915] AUTODETECT spr round 5 (radius: 25)
[44:04:55 -2479164.369188] SPR radius for FAST iterations: 25 (autodetect)
[44:04:55 -2479164.369188] Model parameter optimization (eps = 3.000000)
[44:05:23 -2479053.390551] FAST spr round 1 (radius: 25)
[44:14:24 -2121076.266501] FAST spr round 2 (radius: 25)
[44:20:40 -2106198.079387] FAST spr round 3 (radius: 25)
[44:26:03 -2105654.108387] FAST spr round 4 (radius: 25)
[44:30:42 -2105549.936050] FAST spr round 5 (radius: 25)
[44:35:02 -2105524.703239] FAST spr round 6 (radius: 25)
[44:39:14 -2105512.125284] FAST spr round 7 (radius: 25)
[44:43:24 -2105491.802965] FAST spr round 8 (radius: 25)
[44:47:33 -2105486.319771] FAST spr round 9 (radius: 25)
[44:51:40 -2105484.026297] FAST spr round 10 (radius: 25)
[44:55:45 -2105482.043742] FAST spr round 11 (radius: 25)
[44:59:54 -2105448.619285] FAST spr round 12 (radius: 25)
[45:03:59 -2105448.619280] Model parameter optimization (eps = 1.000000)
[45:04:34 -2105061.715566] SLOW spr round 1 (radius: 5)
[45:11:13 -2104797.628353] SLOW spr round 2 (radius: 5)
[45:17:26 -2104775.180820] SLOW spr round 3 (radius: 5)
[45:23:18 -2104771.830551] SLOW spr round 4 (radius: 5)
[45:29:06 -2104771.830540] SLOW spr round 5 (radius: 10)
[45:35:16 -2104771.830540] SLOW spr round 6 (radius: 15)
[45:47:46 -2104771.830540] SLOW spr round 7 (radius: 20)
[46:09:49 -2104771.830540] SLOW spr round 8 (radius: 25)
[46:39:58 -2104771.830540] Model parameter optimization (eps = 0.100000)

[46:40:09] ML tree search #15, logLikelihood: -2104771.771418

[46:40:09 -7123515.828780] Initial branch length optimization
[46:40:23 -5958457.451471] Model parameter optimization (eps = 10.000000)
[46:42:43 -5944209.114342] AUTODETECT spr round 1 (radius: 5)
[46:49:22 -4410579.855873] AUTODETECT spr round 2 (radius: 10)
[46:56:53 -3374368.681053] AUTODETECT spr round 3 (radius: 15)
[47:05:28 -2776498.456407] AUTODETECT spr round 4 (radius: 20)
[47:15:31 -2477203.850907] AUTODETECT spr round 5 (radius: 25)
[47:27:03 -2440900.314904] SPR radius for FAST iterations: 25 (autodetect)
[47:27:03 -2440900.314904] Model parameter optimization (eps = 3.000000)
[47:27:22 -2440891.955613] FAST spr round 1 (radius: 25)
[47:36:22 -2118242.020320] FAST spr round 2 (radius: 25)
[47:42:27 -2106242.902539] FAST spr round 3 (radius: 25)
[47:47:53 -2105614.387129] FAST spr round 4 (radius: 25)
[47:52:30 -2105528.413429] FAST spr round 5 (radius: 25)
[47:56:44 -2105512.737120] FAST spr round 6 (radius: 25)
[48:00:56 -2105483.884617] FAST spr round 7 (radius: 25)
[48:05:03 -2105483.329003] FAST spr round 8 (radius: 25)
[48:09:08 -2105483.312020] Model parameter optimization (eps = 1.000000)
[48:09:30 -2105481.258500] SLOW spr round 1 (radius: 5)
[48:16:14 -2105129.208342] SLOW spr round 2 (radius: 5)
[48:22:16 -2105119.042131] SLOW spr round 3 (radius: 5)
[48:28:08 -2105119.041677] SLOW spr round 4 (radius: 10)
[48:34:25 -2105119.041636] SLOW spr round 5 (radius: 15)
[48:47:01 -2105119.041632] SLOW spr round 6 (radius: 20)
[49:09:00 -2105119.041632] SLOW spr round 7 (radius: 25)
[49:39:08 -2105119.041632] Model parameter optimization (eps = 0.100000)

[49:39:48] ML tree search #16, logLikelihood: -2104773.203545

[49:39:48 -7118893.401378] Initial branch length optimization
[49:40:03 -5965023.511983] Model parameter optimization (eps = 10.000000)
[49:42:29 -5951135.540361] AUTODETECT spr round 1 (radius: 5)
[49:49:11 -4366929.959886] AUTODETECT spr round 2 (radius: 10)
[49:56:45 -3339632.324683] AUTODETECT spr round 3 (radius: 15)
[50:05:17 -2887303.394078] AUTODETECT spr round 4 (radius: 20)
[50:15:22 -2688887.560526] AUTODETECT spr round 5 (radius: 25)
[50:27:11 -2558110.989528] SPR radius for FAST iterations: 25 (autodetect)
[50:27:11 -2558110.989528] Model parameter optimization (eps = 3.000000)
[50:27:32 -2558102.709784] FAST spr round 1 (radius: 25)
[50:36:56 -2131654.869544] FAST spr round 2 (radius: 25)
[50:43:22 -2106579.199776] FAST spr round 3 (radius: 25)
[50:48:53 -2105424.695421] FAST spr round 4 (radius: 25)
[50:53:20 -2105420.676571] FAST spr round 5 (radius: 25)
[50:57:38 -2105416.998584] FAST spr round 6 (radius: 25)
[51:01:50 -2105414.837605] FAST spr round 7 (radius: 25)
[51:06:00 -2105413.957523] FAST spr round 8 (radius: 25)
[51:10:08 -2105413.940561] Model parameter optimization (eps = 1.000000)
[51:10:25 -2105410.165334] SLOW spr round 1 (radius: 5)
[51:17:14 -2105141.755484] SLOW spr round 2 (radius: 5)
[51:23:16 -2105137.176359] SLOW spr round 3 (radius: 5)
[51:29:11 -2105137.176303] SLOW spr round 4 (radius: 10)
[51:35:28 -2105137.176299] SLOW spr round 5 (radius: 15)
[51:48:13 -2105137.176298] SLOW spr round 6 (radius: 20)
[52:10:33 -2105137.176298] SLOW spr round 7 (radius: 25)
[52:41:05 -2105137.176298] Model parameter optimization (eps = 0.100000)

[52:41:21] ML tree search #17, logLikelihood: -2105137.153176

[52:41:21 -7068638.992916] Initial branch length optimization
[52:41:40 -5943891.754199] Model parameter optimization (eps = 10.000000)
[52:43:31 -5929968.002865] AUTODETECT spr round 1 (radius: 5)
[52:50:08 -4394366.304251] AUTODETECT spr round 2 (radius: 10)
[52:57:43 -3280777.596776] AUTODETECT spr round 3 (radius: 15)
[53:06:27 -2864534.278136] AUTODETECT spr round 4 (radius: 20)
[53:17:43 -2602734.615074] AUTODETECT spr round 5 (radius: 25)
[53:29:06 -2447401.226269] SPR radius for FAST iterations: 25 (autodetect)
[53:29:06 -2447401.226269] Model parameter optimization (eps = 3.000000)
[53:29:26 -2447392.308142] FAST spr round 1 (radius: 25)
[53:38:09 -2121707.351331] FAST spr round 2 (radius: 25)
[53:44:37 -2106046.487067] FAST spr round 3 (radius: 25)
[53:49:55 -2105483.919177] FAST spr round 4 (radius: 25)
[53:54:25 -2105440.432502] FAST spr round 5 (radius: 25)
[53:58:35 -2105436.855463] FAST spr round 6 (radius: 25)
[54:02:41 -2105436.837839] Model parameter optimization (eps = 1.000000)
[54:02:51 -2105435.895703] SLOW spr round 1 (radius: 5)
[54:09:40 -2105095.967818] SLOW spr round 2 (radius: 5)
[54:15:48 -2105086.456290] SLOW spr round 3 (radius: 5)
[54:21:41 -2105086.455223] SLOW spr round 4 (radius: 10)
[54:27:56 -2105086.455223] SLOW spr round 5 (radius: 15)
[54:40:31 -2105086.455223] SLOW spr round 6 (radius: 20)
[55:02:24 -2105086.455223] SLOW spr round 7 (radius: 25)
[55:32:17 -2105086.455223] Model parameter optimization (eps = 0.100000)

[55:32:25] ML tree search #18, logLikelihood: -2105086.452449

[55:32:25 -7085513.995277] Initial branch length optimization
[55:32:41 -5956223.645036] Model parameter optimization (eps = 10.000000)
[55:35:04 -5942193.064369] AUTODETECT spr round 1 (radius: 5)
[55:41:46 -4319102.512623] AUTODETECT spr round 2 (radius: 10)
[55:49:24 -3300712.846700] AUTODETECT spr round 3 (radius: 15)
[55:57:46 -2675179.583899] AUTODETECT spr round 4 (radius: 20)
[56:07:18 -2488756.346320] AUTODETECT spr round 5 (radius: 25)
[56:19:23 -2447896.241222] SPR radius for FAST iterations: 25 (autodetect)
[56:19:23 -2447896.241222] Model parameter optimization (eps = 3.000000)
[56:20:04 -2447491.387927] FAST spr round 1 (radius: 25)
[56:28:54 -2115798.469055] FAST spr round 2 (radius: 25)
[56:34:56 -2106114.086119] FAST spr round 3 (radius: 25)
[56:40:19 -2105186.475073] FAST spr round 4 (radius: 25)
[56:44:48 -2105150.210108] FAST spr round 5 (radius: 25)
[56:49:00 -2105148.620297] FAST spr round 6 (radius: 25)
[56:53:07 -2105148.603378] Model parameter optimization (eps = 1.000000)
[56:53:27 -2105148.227353] SLOW spr round 1 (radius: 5)
[57:00:16 -2104821.231890] SLOW spr round 2 (radius: 5)
[57:06:19 -2104813.524330] SLOW spr round 3 (radius: 5)
[57:12:11 -2104811.652391] SLOW spr round 4 (radius: 5)
[57:17:59 -2104811.652391] SLOW spr round 5 (radius: 10)
[57:24:08 -2104811.652391] SLOW spr round 6 (radius: 15)
[57:36:27 -2104811.652391] SLOW spr round 7 (radius: 20)
[57:58:03 -2104811.652391] SLOW spr round 8 (radius: 25)
[58:27:31 -2104811.652391] Model parameter optimization (eps = 0.100000)

[58:28:04] ML tree search #19, logLikelihood: -2104759.510513

[58:28:04 -7107294.727330] Initial branch length optimization
[58:28:20 -5971398.046398] Model parameter optimization (eps = 10.000000)
[58:31:06 -5957128.998820] AUTODETECT spr round 1 (radius: 5)
[58:37:38 -4377072.790593] AUTODETECT spr round 2 (radius: 10)
[58:45:18 -3400125.254247] AUTODETECT spr round 3 (radius: 15)
[58:53:49 -2808246.928855] AUTODETECT spr round 4 (radius: 20)
[59:04:33 -2470950.639013] AUTODETECT spr round 5 (radius: 25)
[59:18:13 -2446891.470182] SPR radius for FAST iterations: 25 (autodetect)
[59:18:13 -2446891.470182] Model parameter optimization (eps = 3.000000)
[59:18:55 -2446478.706229] FAST spr round 1 (radius: 25)
[59:27:55 -2120444.593357] FAST spr round 2 (radius: 25)
[59:34:20 -2105699.702501] FAST spr round 3 (radius: 25)
[59:39:48 -2105167.541786] FAST spr round 4 (radius: 25)
[59:44:30 -2105097.337802] FAST spr round 5 (radius: 25)
[59:48:43 -2105095.590890] FAST spr round 6 (radius: 25)
[59:52:52 -2105095.574025] Model parameter optimization (eps = 1.000000)
[59:53:17 -2105090.588054] SLOW spr round 1 (radius: 5)
[60:00:23 -2104787.474061] SLOW spr round 2 (radius: 5)
[60:06:25 -2104778.029415] SLOW spr round 3 (radius: 5)
[60:12:21 -2104772.955268] SLOW spr round 4 (radius: 5)
[60:18:13 -2104769.512817] SLOW spr round 5 (radius: 5)
[60:24:02 -2104769.512809] SLOW spr round 6 (radius: 10)
[60:30:15 -2104769.512809] SLOW spr round 7 (radius: 15)
[60:42:47 -2104769.512809] SLOW spr round 8 (radius: 20)
[61:04:48 -2104769.512809] SLOW spr round 9 (radius: 25)
[61:34:50 -2104769.512809] Model parameter optimization (eps = 0.100000)

[61:35:14] ML tree search #20, logLikelihood: -2104769.407591


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.202014,0.320556) (0.252555,0.451775) (0.297596,0.992925) (0.247835,2.120985) 
   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: -2104755.147596

AIC score: 4213520.295192 / AICc score: 4217821.931556 / BIC score: 4226076.725933
Free parameters (model + branch lengths): 2005

WARNING: Best ML tree contains 9 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9UFH2/3_mltree/Q9UFH2.raxml.log

Analysis started: 13-Jul-2021 19:04:56 / finished: 16-Jul-2021 08:40:11

Elapsed time: 221714.785 seconds

Consumed energy: 14262.840 Wh (= 71 km in an electric car, or 357 km with an e-scooter!)