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

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 03-Jul-2021 23:09:34 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/2_msa/Q10713_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713 --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/300621_run/phylogeny-snakemake/results/Q10713/2_msa/Q10713_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 465 sites

WARNING: Sequences tr_B4QZ72_B4QZ72_DROSI_7240 and tr_Q9VFF0_Q9VFF0_DROME_7227 are exactly identical!
WARNING: Sequences tr_B4QZ72_B4QZ72_DROSI_7240 and tr_B4HE39_B4HE39_DROSE_7238 are exactly identical!
WARNING: Sequences tr_D8RE06_D8RE06_SELML_88036 and tr_D8SU22_D8SU22_SELML_88036 are exactly identical!
WARNING: Sequences tr_Q28YB8_Q28YB8_DROPS_46245 and tr_B4GD52_B4GD52_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A0E0FSV9_A0A0E0FSV9_ORYNI_4536 and tr_I1NW13_I1NW13_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0FSV9_A0A0E0FSV9_ORYNI_4536 and tr_A0A0E0DZ16_A0A0E0DZ16_9ORYZ_40149 are exactly identical!
WARNING: Sequences tr_A0A0E0FSV9_A0A0E0FSV9_ORYNI_4536 and tr_A0A0E0N275_A0A0E0N275_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0FZB9_A0A0E0FZB9_ORYNI_4536 and tr_A0A0E0N826_A0A0E0N826_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_L2FY21_L2FY21_COLFN_1213859 and tr_T0JW49_T0JW49_COLGC_1237896 are exactly identical!
WARNING: Sequences tr_W2Q8X9_W2Q8X9_PHYPN_761204 and tr_A0A0W8C0Z4_A0A0W8C0Z4_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QCT9_W2QCT9_PHYPN_761204 and tr_A0A0W8CN01_A0A0W8CN01_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QCT9_W2QCT9_PHYPN_761204 and tr_W2LCI8_W2LCI8_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A015JYD7_A0A015JYD7_9GLOM_1432141 and tr_A0A2I1F540_A0A2I1F540_9GLOM_588596 are exactly identical!
WARNING: Sequences tr_A0A015JYD7_A0A015JYD7_9GLOM_1432141 and tr_U9SIH1_U9SIH1_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A094EMU7_A0A094EMU7_9PEZI_1420912 and tr_A0A1B8GPM0_A0A1B8GPM0_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_V4WDK0_V4WDK0_9ROSI_85681 and tr_A0A2H5PGK6_A0A2H5PGK6_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0A1P618_A0A0A1P618_9FUNG_58291 and tr_A0A367JRT3_A0A367JRT3_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A0V1CM27_A0A0V1CM27_TRIBR_45882 and tr_A0A0V1A1X1_A0A0V1A1X1_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A164USN4_A0A164USN4_9HOMO_1314777 and tr_A0A166HH80_A0A166HH80_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1S4A843_A0A1S4A843_TOBAC_4097 and tr_A0A1U7UWM6_A0A1U7UWM6_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S4AI50_A0A1S4AI50_TOBAC_4097 and tr_A0A1U7X9T2_A0A1U7X9T2_NICSY_4096 are exactly identical!
WARNING: Duplicate sequences found: 21

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/Q10713/3_mltree/Q10713.raxml.reduced.phy

Alignment comprises 1 partitions and 465 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 465 / 465
Gaps: 6.99 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713.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 1001 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 -860145.115360] Initial branch length optimization
[00:00:03 -734160.512900] Model parameter optimization (eps = 10.000000)
[00:00:30 -732612.400773] AUTODETECT spr round 1 (radius: 5)
[00:02:17 -483125.234355] AUTODETECT spr round 2 (radius: 10)
[00:04:18 -364144.587988] AUTODETECT spr round 3 (radius: 15)
[00:06:23 -321061.198647] AUTODETECT spr round 4 (radius: 20)
[00:08:37 -288684.422316] AUTODETECT spr round 5 (radius: 25)
[00:11:21 -277467.647698] SPR radius for FAST iterations: 25 (autodetect)
[00:11:21 -277467.647698] Model parameter optimization (eps = 3.000000)
[00:11:27 -277465.133399] FAST spr round 1 (radius: 25)
[00:13:45 -234982.765929] FAST spr round 2 (radius: 25)
[00:15:35 -233702.066703] FAST spr round 3 (radius: 25)
[00:17:16 -233431.965483] FAST spr round 4 (radius: 25)
[00:18:51 -233409.436017] FAST spr round 5 (radius: 25)
[00:20:23 -233396.942834] FAST spr round 6 (radius: 25)
[00:21:53 -233396.941980] Model parameter optimization (eps = 1.000000)
[00:22:09 -233030.588469] SLOW spr round 1 (radius: 5)
[00:24:10 -232940.857477] SLOW spr round 2 (radius: 5)
[00:26:06 -232933.355377] SLOW spr round 3 (radius: 5)
[00:28:00 -232932.977508] SLOW spr round 4 (radius: 5)
[00:29:50 -232931.889401] SLOW spr round 5 (radius: 5)
[00:31:41 -232931.889400] SLOW spr round 6 (radius: 10)
[00:33:33 -232931.810185] SLOW spr round 7 (radius: 15)
[00:36:24 -232931.810134] SLOW spr round 8 (radius: 20)
[00:40:02 -232931.810133] SLOW spr round 9 (radius: 25)
[00:44:23 -232931.810133] Model parameter optimization (eps = 0.100000)

[00:44:30] ML tree search #1, logLikelihood: -232931.400732

[00:44:30 -863776.531302] Initial branch length optimization
[00:44:35 -733108.053324] Model parameter optimization (eps = 10.000000)
[00:45:04 -731528.379059] AUTODETECT spr round 1 (radius: 5)
[00:46:53 -480300.558438] AUTODETECT spr round 2 (radius: 10)
[00:48:54 -352767.207847] AUTODETECT spr round 3 (radius: 15)
[00:50:54 -307957.310110] AUTODETECT spr round 4 (radius: 20)
[00:53:19 -284005.700295] AUTODETECT spr round 5 (radius: 25)
[00:56:15 -275565.626464] SPR radius for FAST iterations: 25 (autodetect)
[00:56:15 -275565.626464] Model parameter optimization (eps = 3.000000)
[00:56:22 -275559.130447] FAST spr round 1 (radius: 25)
[00:58:42 -235708.645700] FAST spr round 2 (radius: 25)
[01:00:37 -233508.131497] FAST spr round 3 (radius: 25)
[01:02:18 -233382.844599] FAST spr round 4 (radius: 25)
[01:03:52 -233377.314544] FAST spr round 5 (radius: 25)
[01:05:49 -233370.444336] FAST spr round 6 (radius: 25)
[01:07:15 -233370.444247] Model parameter optimization (eps = 1.000000)
[01:07:30 -233020.234961] SLOW spr round 1 (radius: 5)
[01:09:32 -232950.522615] SLOW spr round 2 (radius: 5)
[01:11:27 -232940.003610] SLOW spr round 3 (radius: 5)
[01:13:18 -232936.733154] SLOW spr round 4 (radius: 5)
[01:15:10 -232934.920124] SLOW spr round 5 (radius: 5)
[01:16:58 -232934.920123] SLOW spr round 6 (radius: 10)
[01:18:50 -232934.920123] SLOW spr round 7 (radius: 15)
[01:21:50 -232934.920123] SLOW spr round 8 (radius: 20)
[01:25:48 -232934.920123] SLOW spr round 9 (radius: 25)
[01:30:30 -232934.920123] Model parameter optimization (eps = 0.100000)

[01:30:37] ML tree search #2, logLikelihood: -232934.637204

[01:30:37 -855681.219454] Initial branch length optimization
[01:30:40 -731457.859398] Model parameter optimization (eps = 10.000000)
[01:31:07 -729912.471605] AUTODETECT spr round 1 (radius: 5)
[01:32:56 -478440.046188] AUTODETECT spr round 2 (radius: 10)
[01:34:56 -355741.510466] AUTODETECT spr round 3 (radius: 15)
[01:37:02 -305819.016285] AUTODETECT spr round 4 (radius: 20)
[01:39:26 -284162.473573] AUTODETECT spr round 5 (radius: 25)
[01:42:07 -273837.413551] SPR radius for FAST iterations: 25 (autodetect)
[01:42:07 -273837.413551] Model parameter optimization (eps = 3.000000)
[01:42:22 -273479.878034] FAST spr round 1 (radius: 25)
[01:44:39 -234189.655834] FAST spr round 2 (radius: 25)
[01:46:30 -233106.136113] FAST spr round 3 (radius: 25)
[01:48:12 -233018.678158] FAST spr round 4 (radius: 25)
[01:49:43 -233010.401334] FAST spr round 5 (radius: 25)
[01:51:12 -233010.401195] Model parameter optimization (eps = 1.000000)
[01:51:26 -233007.439545] SLOW spr round 1 (radius: 5)
[01:53:27 -232938.056270] SLOW spr round 2 (radius: 5)
[01:55:24 -232931.179356] SLOW spr round 3 (radius: 5)
[01:57:15 -232931.179354] SLOW spr round 4 (radius: 10)
[01:59:06 -232931.179354] SLOW spr round 5 (radius: 15)
[02:01:58 -232931.179354] SLOW spr round 6 (radius: 20)
[02:05:45 -232931.179354] SLOW spr round 7 (radius: 25)
[02:10:21 -232931.179354] Model parameter optimization (eps = 0.100000)

[02:10:30] ML tree search #3, logLikelihood: -232931.070973

[02:10:30 -857910.758977] Initial branch length optimization
[02:10:33 -731522.427586] Model parameter optimization (eps = 10.000000)
[02:10:57 -730103.184995] AUTODETECT spr round 1 (radius: 5)
[02:12:43 -472527.872757] AUTODETECT spr round 2 (radius: 10)
[02:14:44 -345318.438853] AUTODETECT spr round 3 (radius: 15)
[02:16:46 -296787.932437] AUTODETECT spr round 4 (radius: 20)
[02:19:05 -270905.451008] AUTODETECT spr round 5 (radius: 25)
[02:21:32 -268443.097455] SPR radius for FAST iterations: 25 (autodetect)
[02:21:32 -268443.097455] Model parameter optimization (eps = 3.000000)
[02:21:39 -268439.377007] FAST spr round 1 (radius: 25)
[02:23:51 -234235.474369] FAST spr round 2 (radius: 25)
[02:25:38 -233435.992899] FAST spr round 3 (radius: 25)
[02:27:16 -233387.125799] FAST spr round 4 (radius: 25)
[02:28:44 -233382.402141] FAST spr round 5 (radius: 25)
[02:30:09 -233381.738300] FAST spr round 6 (radius: 25)
[02:31:36 -233381.737136] Model parameter optimization (eps = 1.000000)
[02:31:50 -233022.677646] SLOW spr round 1 (radius: 5)
[02:33:52 -232941.522279] SLOW spr round 2 (radius: 5)
[02:35:47 -232933.534202] SLOW spr round 3 (radius: 5)
[02:37:36 -232933.533976] SLOW spr round 4 (radius: 10)
[02:39:28 -232933.533967] SLOW spr round 5 (radius: 15)
[02:42:20 -232933.533966] SLOW spr round 6 (radius: 20)
[02:46:06 -232933.533966] SLOW spr round 7 (radius: 25)
[02:50:37 -232933.533966] Model parameter optimization (eps = 0.100000)

[02:50:46] ML tree search #4, logLikelihood: -232933.160112

[02:50:46 -853328.333634] Initial branch length optimization
[02:50:49 -728807.623150] Model parameter optimization (eps = 10.000000)
[02:51:14 -727276.144549] AUTODETECT spr round 1 (radius: 5)
[02:53:00 -480723.500754] AUTODETECT spr round 2 (radius: 10)
[02:55:05 -365621.608311] AUTODETECT spr round 3 (radius: 15)
[02:57:11 -323594.590213] AUTODETECT spr round 4 (radius: 20)
[02:59:30 -296027.560252] AUTODETECT spr round 5 (radius: 25)
[03:02:20 -279487.152985] SPR radius for FAST iterations: 25 (autodetect)
[03:02:20 -279487.152985] Model parameter optimization (eps = 3.000000)
[03:02:26 -279484.056081] FAST spr round 1 (radius: 25)
[03:04:43 -234893.330641] FAST spr round 2 (radius: 25)
[03:06:31 -233418.244145] FAST spr round 3 (radius: 25)
[03:08:10 -233371.336167] FAST spr round 4 (radius: 25)
[03:09:40 -233367.106048] FAST spr round 5 (radius: 25)
[03:11:06 -233367.105759] Model parameter optimization (eps = 1.000000)
[03:11:21 -233016.043451] SLOW spr round 1 (radius: 5)
[03:13:19 -232934.852204] SLOW spr round 2 (radius: 5)
[03:15:12 -232925.477815] SLOW spr round 3 (radius: 5)
[03:16:58 -232925.477761] SLOW spr round 4 (radius: 10)
[03:18:45 -232925.477760] SLOW spr round 5 (radius: 15)
[03:21:31 -232925.477760] SLOW spr round 6 (radius: 20)
[03:25:07 -232925.477760] SLOW spr round 7 (radius: 25)
[03:29:31 -232925.477760] Model parameter optimization (eps = 0.100000)

[03:29:35] ML tree search #5, logLikelihood: -232925.388625

[03:29:35 -854236.092720] Initial branch length optimization
[03:29:38 -729429.844791] Model parameter optimization (eps = 10.000000)
[03:30:01 -727963.627304] AUTODETECT spr round 1 (radius: 5)
[03:31:48 -473555.745705] AUTODETECT spr round 2 (radius: 10)
[03:33:44 -348886.636537] AUTODETECT spr round 3 (radius: 15)
[03:35:45 -304050.750535] AUTODETECT spr round 4 (radius: 20)
[03:38:06 -275566.513563] AUTODETECT spr round 5 (radius: 25)
[03:40:43 -272569.108997] SPR radius for FAST iterations: 25 (autodetect)
[03:40:43 -272569.108997] Model parameter optimization (eps = 3.000000)
[03:40:57 -272194.865912] FAST spr round 1 (radius: 25)
[03:43:08 -234766.716032] FAST spr round 2 (radius: 25)
[03:44:57 -233256.541160] FAST spr round 3 (radius: 25)
[03:46:37 -233063.089619] FAST spr round 4 (radius: 25)
[03:48:06 -233056.038157] FAST spr round 5 (radius: 25)
[03:49:35 -233053.184847] FAST spr round 6 (radius: 25)
[03:51:02 -233053.184845] Model parameter optimization (eps = 1.000000)
[03:51:17 -233045.630463] SLOW spr round 1 (radius: 5)
[03:53:17 -232946.787866] SLOW spr round 2 (radius: 5)
[03:55:13 -232937.212615] SLOW spr round 3 (radius: 5)
[03:57:06 -232935.500592] SLOW spr round 4 (radius: 5)
[03:58:55 -232935.500072] SLOW spr round 5 (radius: 10)
[04:00:46 -232935.500046] SLOW spr round 6 (radius: 15)
[04:03:34 -232935.500045] SLOW spr round 7 (radius: 20)
[04:07:13 -232935.500045] SLOW spr round 8 (radius: 25)
[04:11:36 -232935.500045] Model parameter optimization (eps = 0.100000)

[04:11:44] ML tree search #6, logLikelihood: -232935.342851

[04:11:44 -853113.717660] Initial branch length optimization
[04:11:48 -723661.915148] Model parameter optimization (eps = 10.000000)
[04:12:15 -722400.602151] AUTODETECT spr round 1 (radius: 5)
[04:14:00 -477236.165703] AUTODETECT spr round 2 (radius: 10)
[04:15:59 -367174.835397] AUTODETECT spr round 3 (radius: 15)
[04:17:59 -305083.341438] AUTODETECT spr round 4 (radius: 20)
[04:20:11 -279119.573304] AUTODETECT spr round 5 (radius: 25)
[04:22:28 -274387.965089] SPR radius for FAST iterations: 25 (autodetect)
[04:22:28 -274387.965089] Model parameter optimization (eps = 3.000000)
[04:22:44 -273939.955892] FAST spr round 1 (radius: 25)
[04:24:58 -234545.837225] FAST spr round 2 (radius: 25)
[04:26:45 -233120.726997] FAST spr round 3 (radius: 25)
[04:28:22 -233033.840851] FAST spr round 4 (radius: 25)
[04:29:49 -233029.960263] FAST spr round 5 (radius: 25)
[04:31:14 -233029.960263] Model parameter optimization (eps = 1.000000)
[04:31:26 -233024.913297] SLOW spr round 1 (radius: 5)
[04:33:22 -232943.951574] SLOW spr round 2 (radius: 5)
[04:35:20 -232936.624285] SLOW spr round 3 (radius: 5)
[04:37:11 -232936.162493] SLOW spr round 4 (radius: 5)
[04:39:00 -232936.162484] SLOW spr round 5 (radius: 10)
[04:40:51 -232935.107416] SLOW spr round 6 (radius: 5)
[04:43:05 -232933.283964] SLOW spr round 7 (radius: 5)
[04:45:12 -232933.283964] SLOW spr round 8 (radius: 10)
[04:47:10 -232933.283964] SLOW spr round 9 (radius: 15)
[04:49:54 -232933.283964] SLOW spr round 10 (radius: 20)
[04:53:33 -232933.283964] SLOW spr round 11 (radius: 25)
[04:57:55 -232933.283964] Model parameter optimization (eps = 0.100000)

[04:58:08] ML tree search #7, logLikelihood: -232933.149249

[04:58:08 -856618.259341] Initial branch length optimization
[04:58:11 -733751.325066] Model parameter optimization (eps = 10.000000)
[04:58:38 -732217.990674] AUTODETECT spr round 1 (radius: 5)
[05:00:25 -473283.893886] AUTODETECT spr round 2 (radius: 10)
[05:02:23 -363369.566114] AUTODETECT spr round 3 (radius: 15)
[05:04:27 -312231.900542] AUTODETECT spr round 4 (radius: 20)
[05:06:39 -277952.792301] AUTODETECT spr round 5 (radius: 25)
[05:09:15 -269615.772691] SPR radius for FAST iterations: 25 (autodetect)
[05:09:15 -269615.772691] Model parameter optimization (eps = 3.000000)
[05:09:21 -269612.157420] FAST spr round 1 (radius: 25)
[05:11:39 -235431.027433] FAST spr round 2 (radius: 25)
[05:13:32 -233455.032089] FAST spr round 3 (radius: 25)
[05:15:16 -233351.274290] FAST spr round 4 (radius: 25)
[05:16:48 -233334.931914] FAST spr round 5 (radius: 25)
[05:18:15 -233334.931864] Model parameter optimization (eps = 1.000000)
[05:18:29 -232969.896007] SLOW spr round 1 (radius: 5)
[05:20:25 -232924.317984] SLOW spr round 2 (radius: 5)
[05:22:16 -232921.433997] SLOW spr round 3 (radius: 5)
[05:24:04 -232921.433858] SLOW spr round 4 (radius: 10)
[05:25:53 -232920.667942] SLOW spr round 5 (radius: 5)
[05:28:04 -232920.667809] SLOW spr round 6 (radius: 10)
[05:30:03 -232920.667809] SLOW spr round 7 (radius: 15)
[05:32:42 -232920.667809] SLOW spr round 8 (radius: 20)
[05:36:33 -232920.667809] SLOW spr round 9 (radius: 25)
[05:41:07 -232920.667809] Model parameter optimization (eps = 0.100000)

[05:41:12] ML tree search #8, logLikelihood: -232920.633413

[05:41:12 -849871.266281] Initial branch length optimization
[05:41:15 -720855.926542] Model parameter optimization (eps = 10.000000)
[05:41:42 -719519.918964] AUTODETECT spr round 1 (radius: 5)
[05:43:27 -480895.702714] AUTODETECT spr round 2 (radius: 10)
[05:45:30 -365027.663998] AUTODETECT spr round 3 (radius: 15)
[05:47:39 -300163.439918] AUTODETECT spr round 4 (radius: 20)
[05:49:52 -280166.012967] AUTODETECT spr round 5 (radius: 25)
[05:52:23 -274232.886878] SPR radius for FAST iterations: 25 (autodetect)
[05:52:23 -274232.886878] Model parameter optimization (eps = 3.000000)
[05:52:38 -273848.077302] FAST spr round 1 (radius: 25)
[05:54:52 -234461.170349] FAST spr round 2 (radius: 25)
[05:56:42 -233116.954841] FAST spr round 3 (radius: 25)
[05:58:22 -233034.808685] FAST spr round 4 (radius: 25)
[05:59:53 -233027.041131] FAST spr round 5 (radius: 25)
[06:01:20 -233022.627815] FAST spr round 6 (radius: 25)
[06:02:47 -233022.627809] Model parameter optimization (eps = 1.000000)
[06:03:01 -233019.724816] SLOW spr round 1 (radius: 5)
[06:04:59 -232955.465923] SLOW spr round 2 (radius: 5)
[06:06:52 -232940.226571] SLOW spr round 3 (radius: 5)
[06:08:42 -232938.562347] SLOW spr round 4 (radius: 5)
[06:10:29 -232938.562239] SLOW spr round 5 (radius: 10)
[06:12:18 -232938.562238] SLOW spr round 6 (radius: 15)
[06:15:07 -232938.562238] SLOW spr round 7 (radius: 20)
[06:18:44 -232938.562238] SLOW spr round 8 (radius: 25)
[06:23:06 -232938.562238] Model parameter optimization (eps = 0.100000)

[06:23:11] ML tree search #9, logLikelihood: -232938.527054

[06:23:11 -862703.043398] Initial branch length optimization
[06:23:14 -735044.761863] Model parameter optimization (eps = 10.000000)
[06:23:35 -733534.258830] AUTODETECT spr round 1 (radius: 5)
[06:25:20 -470626.867534] AUTODETECT spr round 2 (radius: 10)
[06:27:13 -359376.979733] AUTODETECT spr round 3 (radius: 15)
[06:29:19 -306406.247158] AUTODETECT spr round 4 (radius: 20)
[06:31:42 -275480.439215] AUTODETECT spr round 5 (radius: 25)
[06:34:28 -270285.325932] SPR radius for FAST iterations: 25 (autodetect)
[06:34:28 -270285.325932] Model parameter optimization (eps = 3.000000)
[06:34:44 -269880.510611] FAST spr round 1 (radius: 25)
[06:37:00 -234042.869653] FAST spr round 2 (radius: 25)
[06:38:49 -233100.188778] FAST spr round 3 (radius: 25)
[06:40:27 -233028.608926] FAST spr round 4 (radius: 25)
[06:41:57 -233011.597675] FAST spr round 5 (radius: 25)
[06:43:25 -232999.706153] FAST spr round 6 (radius: 25)
[06:44:52 -232999.706152] Model parameter optimization (eps = 1.000000)
[06:45:01 -232998.587943] SLOW spr round 1 (radius: 5)
[06:47:03 -232953.463787] SLOW spr round 2 (radius: 5)
[06:49:02 -232932.860775] SLOW spr round 3 (radius: 5)
[06:50:56 -232927.333329] SLOW spr round 4 (radius: 5)
[06:52:47 -232926.953580] SLOW spr round 5 (radius: 5)
[06:54:37 -232926.953516] SLOW spr round 6 (radius: 10)
[06:56:29 -232926.953504] SLOW spr round 7 (radius: 15)
[06:59:24 -232926.953502] SLOW spr round 8 (radius: 20)
[07:03:14 -232926.953501] SLOW spr round 9 (radius: 25)
[07:07:54 -232926.953501] Model parameter optimization (eps = 0.100000)

[07:08:04] ML tree search #10, logLikelihood: -232925.876441

[07:08:04 -856219.898381] Initial branch length optimization
[07:08:07 -730188.848726] Model parameter optimization (eps = 10.000000)
[07:08:36 -728756.443384] AUTODETECT spr round 1 (radius: 5)
[07:10:23 -472548.194190] AUTODETECT spr round 2 (radius: 10)
[07:12:24 -341968.558915] AUTODETECT spr round 3 (radius: 15)
[07:14:25 -291002.063342] AUTODETECT spr round 4 (radius: 20)
[07:16:45 -273774.945083] AUTODETECT spr round 5 (radius: 25)
[07:19:13 -271037.523811] SPR radius for FAST iterations: 25 (autodetect)
[07:19:13 -271037.523811] Model parameter optimization (eps = 3.000000)
[07:19:29 -270592.252345] FAST spr round 1 (radius: 25)
[07:21:42 -234425.720581] FAST spr round 2 (radius: 25)
[07:23:29 -233073.063917] FAST spr round 3 (radius: 25)
[07:25:04 -233009.609257] FAST spr round 4 (radius: 25)
[07:26:30 -233003.019681] FAST spr round 5 (radius: 25)
[07:27:56 -233003.019662] Model parameter optimization (eps = 1.000000)
[07:28:08 -232994.770254] SLOW spr round 1 (radius: 5)
[07:30:09 -232930.837066] SLOW spr round 2 (radius: 5)
[07:32:01 -232924.045129] SLOW spr round 3 (radius: 5)
[07:33:49 -232923.350952] SLOW spr round 4 (radius: 5)
[07:35:34 -232923.350532] SLOW spr round 5 (radius: 10)
[07:37:24 -232923.350508] SLOW spr round 6 (radius: 15)
[07:40:15 -232923.350506] SLOW spr round 7 (radius: 20)
[07:43:55 -232923.350506] SLOW spr round 8 (radius: 25)
[07:48:23 -232923.350506] Model parameter optimization (eps = 0.100000)

[07:48:32] ML tree search #11, logLikelihood: -232922.864193

[07:48:32 -850087.896721] Initial branch length optimization
[07:48:35 -724005.755338] Model parameter optimization (eps = 10.000000)
[07:49:00 -722560.999002] AUTODETECT spr round 1 (radius: 5)
[07:50:47 -483871.033047] AUTODETECT spr round 2 (radius: 10)
[07:52:49 -370263.732082] AUTODETECT spr round 3 (radius: 15)
[07:54:51 -317321.833856] AUTODETECT spr round 4 (radius: 20)
[07:57:15 -279694.475776] AUTODETECT spr round 5 (radius: 25)
[08:00:02 -275666.782958] SPR radius for FAST iterations: 25 (autodetect)
[08:00:02 -275666.782958] Model parameter optimization (eps = 3.000000)
[08:00:25 -275326.987977] FAST spr round 1 (radius: 25)
[08:02:44 -234463.357149] FAST spr round 2 (radius: 25)
[08:04:36 -233134.767317] FAST spr round 3 (radius: 25)
[08:06:19 -233020.449928] FAST spr round 4 (radius: 25)
[08:07:51 -233008.628039] FAST spr round 5 (radius: 25)
[08:09:19 -233008.627998] Model parameter optimization (eps = 1.000000)
[08:09:33 -232999.769305] SLOW spr round 1 (radius: 5)
[08:11:34 -232953.990671] SLOW spr round 2 (radius: 5)
[08:13:30 -232944.987230] SLOW spr round 3 (radius: 5)
[08:15:20 -232942.133272] SLOW spr round 4 (radius: 5)
[08:17:09 -232942.132766] SLOW spr round 5 (radius: 10)
[08:19:01 -232931.272581] SLOW spr round 6 (radius: 5)
[08:21:14 -232927.570786] SLOW spr round 7 (radius: 5)
[08:23:13 -232927.570776] SLOW spr round 8 (radius: 10)
[08:25:06 -232927.570776] SLOW spr round 9 (radius: 15)
[08:27:52 -232927.570776] SLOW spr round 10 (radius: 20)
[08:31:40 -232927.570776] SLOW spr round 11 (radius: 25)
[08:36:20 -232927.570776] Model parameter optimization (eps = 0.100000)

[08:36:30] ML tree search #12, logLikelihood: -232927.297952

[08:36:30 -851744.813737] Initial branch length optimization
[08:36:33 -726157.987036] Model parameter optimization (eps = 10.000000)
[08:37:01 -724893.151938] AUTODETECT spr round 1 (radius: 5)
[08:38:48 -482948.403514] AUTODETECT spr round 2 (radius: 10)
[08:40:50 -351262.752624] AUTODETECT spr round 3 (radius: 15)
[08:43:02 -292685.628303] AUTODETECT spr round 4 (radius: 20)
[08:45:35 -274142.530407] AUTODETECT spr round 5 (radius: 25)
[08:48:40 -272678.905707] SPR radius for FAST iterations: 25 (autodetect)
[08:48:40 -272678.905707] Model parameter optimization (eps = 3.000000)
[08:48:55 -272266.976303] FAST spr round 1 (radius: 25)
[08:51:13 -235117.419610] FAST spr round 2 (radius: 25)
[08:53:07 -233160.167832] FAST spr round 3 (radius: 25)
[08:54:50 -233022.470548] FAST spr round 4 (radius: 25)
[08:56:26 -232994.952507] FAST spr round 5 (radius: 25)
[08:57:55 -232994.952324] Model parameter optimization (eps = 1.000000)
[08:58:09 -232987.870071] SLOW spr round 1 (radius: 5)
[09:00:13 -232931.823460] SLOW spr round 2 (radius: 5)
[09:02:05 -232930.834982] SLOW spr round 3 (radius: 5)
[09:03:55 -232930.834929] SLOW spr round 4 (radius: 10)
[09:05:46 -232930.834918] SLOW spr round 5 (radius: 15)
[09:08:40 -232930.834915] SLOW spr round 6 (radius: 20)
[09:12:28 -232930.834915] SLOW spr round 7 (radius: 25)
[09:17:02 -232930.834915] Model parameter optimization (eps = 0.100000)

[09:17:07] ML tree search #13, logLikelihood: -232930.790692

[09:17:07 -853534.404524] Initial branch length optimization
[09:17:09 -728283.334849] Model parameter optimization (eps = 10.000000)
[09:17:37 -726906.667806] AUTODETECT spr round 1 (radius: 5)
[09:19:23 -488427.723844] AUTODETECT spr round 2 (radius: 10)
[09:21:22 -368046.772081] AUTODETECT spr round 3 (radius: 15)
[09:23:24 -316102.164395] AUTODETECT spr round 4 (radius: 20)
[09:25:50 -284800.695730] AUTODETECT spr round 5 (radius: 25)
[09:28:19 -278070.419000] SPR radius for FAST iterations: 25 (autodetect)
[09:28:19 -278070.419000] Model parameter optimization (eps = 3.000000)
[09:28:35 -277689.522863] FAST spr round 1 (radius: 25)
[09:30:48 -234464.113989] FAST spr round 2 (radius: 25)
[09:32:35 -233115.094727] FAST spr round 3 (radius: 25)
[09:34:12 -233021.874222] FAST spr round 4 (radius: 25)
[09:35:43 -233016.367137] FAST spr round 5 (radius: 25)
[09:37:13 -233012.934937] FAST spr round 6 (radius: 25)
[09:38:40 -233012.934937] Model parameter optimization (eps = 1.000000)
[09:38:52 -233007.218038] SLOW spr round 1 (radius: 5)
[09:40:50 -232957.663481] SLOW spr round 2 (radius: 5)
[09:42:46 -232945.502585] SLOW spr round 3 (radius: 5)
[09:44:40 -232937.661368] SLOW spr round 4 (radius: 5)
[09:46:31 -232933.671158] SLOW spr round 5 (radius: 5)
[09:48:21 -232933.671135] SLOW spr round 6 (radius: 10)
[09:50:13 -232933.616111] SLOW spr round 7 (radius: 15)
[09:53:03 -232933.616090] SLOW spr round 8 (radius: 20)
[09:56:43 -232933.616090] SLOW spr round 9 (radius: 25)
[10:01:08 -232933.616090] Model parameter optimization (eps = 0.100000)

[10:01:23] ML tree search #14, logLikelihood: -232933.000764

[10:01:23 -854649.316074] Initial branch length optimization
[10:01:26 -727742.637321] Model parameter optimization (eps = 10.000000)
[10:01:53 -726354.134321] AUTODETECT spr round 1 (radius: 5)
[10:03:39 -473354.165110] AUTODETECT spr round 2 (radius: 10)
[10:05:40 -366566.122058] AUTODETECT spr round 3 (radius: 15)
[10:07:45 -318666.884864] AUTODETECT spr round 4 (radius: 20)
[10:10:04 -289572.156197] AUTODETECT spr round 5 (radius: 25)
[10:12:38 -281292.379284] SPR radius for FAST iterations: 25 (autodetect)
[10:12:38 -281292.379284] Model parameter optimization (eps = 3.000000)
[10:12:55 -280871.394662] FAST spr round 1 (radius: 25)
[10:15:09 -235406.810012] FAST spr round 2 (radius: 25)
[10:16:59 -233122.458038] FAST spr round 3 (radius: 25)
[10:18:37 -233038.673937] FAST spr round 4 (radius: 25)
[10:20:07 -233030.301606] FAST spr round 5 (radius: 25)
[10:21:33 -233027.076927] FAST spr round 6 (radius: 25)
[10:22:58 -233027.076925] Model parameter optimization (eps = 1.000000)
[10:23:13 -233019.223663] SLOW spr round 1 (radius: 5)
[10:25:11 -232939.321325] SLOW spr round 2 (radius: 5)
[10:26:59 -232937.062713] SLOW spr round 3 (radius: 5)
[10:28:44 -232937.062620] SLOW spr round 4 (radius: 10)
[10:30:33 -232937.062619] SLOW spr round 5 (radius: 15)
[10:33:24 -232937.062619] SLOW spr round 6 (radius: 20)
[10:37:09 -232937.062619] SLOW spr round 7 (radius: 25)
[10:41:38 -232937.062619] Model parameter optimization (eps = 0.100000)

[10:41:45] ML tree search #15, logLikelihood: -232936.893616

[10:41:46 -853757.729238] Initial branch length optimization
[10:41:48 -728001.974197] Model parameter optimization (eps = 10.000000)
[10:42:14 -726547.818150] AUTODETECT spr round 1 (radius: 5)
[10:43:59 -477049.962734] AUTODETECT spr round 2 (radius: 10)
[10:45:57 -352478.973624] AUTODETECT spr round 3 (radius: 15)
[10:47:58 -295098.936715] AUTODETECT spr round 4 (radius: 20)
[10:50:20 -275021.333562] AUTODETECT spr round 5 (radius: 25)
[10:52:44 -268035.098949] SPR radius for FAST iterations: 25 (autodetect)
[10:52:44 -268035.098949] Model parameter optimization (eps = 3.000000)
[10:53:00 -267674.918667] FAST spr round 1 (radius: 25)
[10:55:11 -234952.444731] FAST spr round 2 (radius: 25)
[10:57:03 -233241.846166] FAST spr round 3 (radius: 25)
[10:58:47 -233001.894281] FAST spr round 4 (radius: 25)
[11:00:17 -232995.217407] FAST spr round 5 (radius: 25)
[11:01:48 -232990.314752] FAST spr round 6 (radius: 25)
[11:03:14 -232990.314751] Model parameter optimization (eps = 1.000000)
[11:03:25 -232987.630504] SLOW spr round 1 (radius: 5)
[11:05:24 -232941.132207] SLOW spr round 2 (radius: 5)
[11:07:16 -232940.222882] SLOW spr round 3 (radius: 5)
[11:09:07 -232937.470672] SLOW spr round 4 (radius: 5)
[11:10:55 -232937.470242] SLOW spr round 5 (radius: 10)
[11:12:44 -232937.416485] SLOW spr round 6 (radius: 15)
[11:15:36 -232937.416453] SLOW spr round 7 (radius: 20)
[11:19:23 -232937.416453] SLOW spr round 8 (radius: 25)
[11:23:51 -232937.416453] Model parameter optimization (eps = 0.100000)

[11:23:59] ML tree search #16, logLikelihood: -232937.118352

[11:23:59 -855471.000256] Initial branch length optimization
[11:24:03 -730001.655989] Model parameter optimization (eps = 10.000000)
[11:24:27 -728446.916215] AUTODETECT spr round 1 (radius: 5)
[11:26:13 -470979.264274] AUTODETECT spr round 2 (radius: 10)
[11:28:06 -361952.646920] AUTODETECT spr round 3 (radius: 15)
[11:30:09 -302705.520575] AUTODETECT spr round 4 (radius: 20)
[11:32:29 -277372.789646] AUTODETECT spr round 5 (radius: 25)
[11:35:06 -270155.124065] SPR radius for FAST iterations: 25 (autodetect)
[11:35:06 -270155.124065] Model parameter optimization (eps = 3.000000)
[11:35:22 -269761.741439] FAST spr round 1 (radius: 25)
[11:37:33 -234417.355653] FAST spr round 2 (radius: 25)
[11:39:20 -233121.408946] FAST spr round 3 (radius: 25)
[11:40:58 -233055.037082] FAST spr round 4 (radius: 25)
[11:42:29 -233025.067761] FAST spr round 5 (radius: 25)
[11:43:55 -233025.067752] Model parameter optimization (eps = 1.000000)
[11:44:07 -233021.524898] SLOW spr round 1 (radius: 5)
[11:46:05 -232961.981248] SLOW spr round 2 (radius: 5)
[11:47:56 -232955.959859] SLOW spr round 3 (radius: 5)
[11:49:43 -232955.959532] SLOW spr round 4 (radius: 10)
[11:51:31 -232953.500329] SLOW spr round 5 (radius: 5)
[11:53:43 -232950.960369] SLOW spr round 6 (radius: 5)
[11:55:42 -232941.250663] SLOW spr round 7 (radius: 5)
[11:57:34 -232940.946649] SLOW spr round 8 (radius: 5)
[11:59:23 -232940.826624] SLOW spr round 9 (radius: 5)
[12:01:14 -232940.826192] SLOW spr round 10 (radius: 10)
[12:03:05 -232940.826165] SLOW spr round 11 (radius: 15)
[12:05:57 -232940.826164] SLOW spr round 12 (radius: 20)
[12:09:42 -232940.826164] SLOW spr round 13 (radius: 25)
[12:14:14 -232940.826164] Model parameter optimization (eps = 0.100000)

[12:14:22] ML tree search #17, logLikelihood: -232940.787859

[12:14:22 -850875.824739] Initial branch length optimization
[12:14:24 -724772.311027] Model parameter optimization (eps = 10.000000)
[12:14:49 -723354.438037] AUTODETECT spr round 1 (radius: 5)
[12:16:34 -482971.525243] AUTODETECT spr round 2 (radius: 10)
[12:18:32 -376479.341657] AUTODETECT spr round 3 (radius: 15)
[12:20:36 -331573.122187] AUTODETECT spr round 4 (radius: 20)
[12:23:02 -288624.006482] AUTODETECT spr round 5 (radius: 25)
[12:26:01 -278674.567612] SPR radius for FAST iterations: 25 (autodetect)
[12:26:01 -278674.567612] Model parameter optimization (eps = 3.000000)
[12:26:08 -278671.159853] FAST spr round 1 (radius: 25)
[12:28:22 -234553.510342] FAST spr round 2 (radius: 25)
[12:30:13 -233466.440332] FAST spr round 3 (radius: 25)
[12:31:56 -233355.872792] FAST spr round 4 (radius: 25)
[12:33:30 -233346.379528] FAST spr round 5 (radius: 25)
[12:34:58 -233346.377335] Model parameter optimization (eps = 1.000000)
[12:35:14 -232976.900397] SLOW spr round 1 (radius: 5)
[12:37:17 -232934.078042] SLOW spr round 2 (radius: 5)
[12:39:14 -232927.194503] SLOW spr round 3 (radius: 5)
[12:41:06 -232927.194398] SLOW spr round 4 (radius: 10)
[12:42:56 -232927.194397] SLOW spr round 5 (radius: 15)
[12:45:48 -232927.194397] SLOW spr round 6 (radius: 20)
[12:49:27 -232927.194397] SLOW spr round 7 (radius: 25)
[12:53:49 -232927.194397] Model parameter optimization (eps = 0.100000)

[12:53:58] ML tree search #18, logLikelihood: -232926.283664

[12:53:58 -855206.179601] Initial branch length optimization
[12:54:02 -727396.133446] Model parameter optimization (eps = 10.000000)
[12:54:29 -725901.177769] AUTODETECT spr round 1 (radius: 5)
[12:56:14 -481673.004456] AUTODETECT spr round 2 (radius: 10)
[12:58:11 -352728.539213] AUTODETECT spr round 3 (radius: 15)
[13:00:15 -293260.151984] AUTODETECT spr round 4 (radius: 20)
[13:02:34 -274099.239240] AUTODETECT spr round 5 (radius: 25)
[13:05:24 -271794.589260] SPR radius for FAST iterations: 25 (autodetect)
[13:05:24 -271794.589260] Model parameter optimization (eps = 3.000000)
[13:05:31 -271789.773277] FAST spr round 1 (radius: 25)
[13:07:52 -234719.833316] FAST spr round 2 (radius: 25)
[13:09:44 -233492.556997] FAST spr round 3 (radius: 25)
[13:11:23 -233412.244397] FAST spr round 4 (radius: 25)
[13:12:55 -233400.349410] FAST spr round 5 (radius: 25)
[13:14:23 -233400.349325] Model parameter optimization (eps = 1.000000)
[13:14:40 -233037.186127] SLOW spr round 1 (radius: 5)
[13:16:45 -232966.561931] SLOW spr round 2 (radius: 5)
[13:18:44 -232950.775315] SLOW spr round 3 (radius: 5)
[13:20:37 -232947.616660] SLOW spr round 4 (radius: 5)
[13:22:27 -232947.616482] SLOW spr round 5 (radius: 10)
[13:24:19 -232947.616482] SLOW spr round 6 (radius: 15)
[13:27:12 -232947.616482] SLOW spr round 7 (radius: 20)
[13:30:55 -232947.616482] SLOW spr round 8 (radius: 25)
[13:35:18 -232947.616482] Model parameter optimization (eps = 0.100000)

[13:35:30] ML tree search #19, logLikelihood: -232946.268564

[13:35:30 -858188.600459] Initial branch length optimization
[13:35:35 -732991.363310] Model parameter optimization (eps = 10.000000)
[13:36:01 -731581.555921] AUTODETECT spr round 1 (radius: 5)
[13:37:46 -479518.409046] AUTODETECT spr round 2 (radius: 10)
[13:39:43 -355109.644515] AUTODETECT spr round 3 (radius: 15)
[13:41:44 -297538.183462] AUTODETECT spr round 4 (radius: 20)
[13:43:59 -276662.694307] AUTODETECT spr round 5 (radius: 25)
[13:46:39 -270538.898787] SPR radius for FAST iterations: 25 (autodetect)
[13:46:39 -270538.898787] Model parameter optimization (eps = 3.000000)
[13:46:54 -270198.546251] FAST spr round 1 (radius: 25)
[13:49:06 -234400.212793] FAST spr round 2 (radius: 25)
[13:50:53 -233067.066249] FAST spr round 3 (radius: 25)
[13:52:31 -233017.183595] FAST spr round 4 (radius: 25)
[13:53:58 -233017.183255] Model parameter optimization (eps = 1.000000)
[13:54:08 -233012.246731] SLOW spr round 1 (radius: 5)
[13:56:10 -232955.232316] SLOW spr round 2 (radius: 5)
[13:58:06 -232947.868149] SLOW spr round 3 (radius: 5)
[13:59:57 -232941.859610] SLOW spr round 4 (radius: 5)
[14:01:45 -232941.859577] SLOW spr round 5 (radius: 10)
[14:03:35 -232941.859577] SLOW spr round 6 (radius: 15)
[14:06:22 -232941.859577] SLOW spr round 7 (radius: 20)
[14:10:00 -232941.859577] SLOW spr round 8 (radius: 25)
[14:14:22 -232941.859577] Model parameter optimization (eps = 0.100000)

[14:14:31] ML tree search #20, logLikelihood: -232941.189121


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.186519,0.429800) (0.307663,0.471434) (0.246214,0.893972) (0.259604,2.136648) 
   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: -232920.633413

AIC score: 469851.266827 / AICc score: 8513911.266827 / BIC score: 478156.051825
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=465).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q10713/3_mltree/Q10713.raxml.log

Analysis started: 03-Jul-2021 23:09:34 / finished: 04-Jul-2021 13:24:06

Elapsed time: 51271.808 seconds

Consumed energy: 4748.770 Wh (= 24 km in an electric car, or 119 km with an e-scooter!)