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 05-Jul-2021 08:16:51 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/2_msa/Q8WWQ0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/3_mltree/Q8WWQ0 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/2_msa/Q8WWQ0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 941 taxa and 1352 sites

WARNING: Sequences tr_Q297C1_Q297C1_DROPS_46245 and tr_B4GEB6_B4GEB6_DROPE_7234 are exactly identical!
WARNING: Sequences tr_K7CWG3_K7CWG3_PANTR_9598 and sp_Q6RI45_BRWD3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_K7CWG3_K7CWG3_PANTR_9598 and tr_A0A2R9B9Z0_A0A2R9B9Z0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6UJI0_F6UJI0_MACMU_9544 and tr_A0A2K5N0Y2_A0A2K5N0Y2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6UJI0_F6UJI0_MACMU_9544 and tr_A0A2K6BCT7_A0A2K6BCT7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6UJI0_F6UJI0_MACMU_9544 and tr_A0A2K5YU39_A0A2K5YU39_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096MYT0_A0A096MYT0_PAPAN_9555 and tr_A0A0D9RXX6_A0A0D9RXX6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A096MYT0_A0A096MYT0_PAPAN_9555 and tr_A0A2K5L7Y8_A0A2K5L7Y8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096MYT0_A0A096MYT0_PAPAN_9555 and tr_A0A2K6DIC6_A0A2K6DIC6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0D2PDT0_A0A0D2PDT0_GOSRA_29730 and tr_A0A1U8K4L5_A0A1U8K4L5_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A1S3V5G5_A0A1S3V5G5_VIGRR_3916 and tr_A0A3Q0F9E9_A0A3Q0F9E9_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A2K5KLL1_A0A2K5KLL1_CERAT_9531 and tr_A0A2K6CWA0_A0A2K6CWA0_MACNE_9545 are exactly identical!
WARNING: Duplicate sequences found: 12

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/Q8WWQ0/3_mltree/Q8WWQ0.raxml.reduced.phy

Alignment comprises 1 partitions and 1352 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1352 / 1352
Gaps: 40.07 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/3_mltree/Q8WWQ0.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 8 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 941 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 169 / 13520
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1470699.114156] Initial branch length optimization
[00:00:10 -1167029.901908] Model parameter optimization (eps = 10.000000)
[00:01:07 -1160888.051918] AUTODETECT spr round 1 (radius: 5)
[00:03:43 -866634.094854] AUTODETECT spr round 2 (radius: 10)
[00:06:31 -674908.426524] AUTODETECT spr round 3 (radius: 15)
[00:09:39 -583650.959247] AUTODETECT spr round 4 (radius: 20)
[00:13:13 -543741.146170] AUTODETECT spr round 5 (radius: 25)
[00:17:25 -537619.807468] SPR radius for FAST iterations: 25 (autodetect)
[00:17:25 -537619.807468] Model parameter optimization (eps = 3.000000)
[00:17:38 -537520.819280] FAST spr round 1 (radius: 25)
[00:22:25 -488126.483617] FAST spr round 2 (radius: 25)
[00:25:59 -486872.858226] FAST spr round 3 (radius: 25)
[00:28:59 -486812.426083] FAST spr round 4 (radius: 25)
[00:31:29 -486800.327153] FAST spr round 5 (radius: 25)
[00:33:39 -486800.325998] Model parameter optimization (eps = 1.000000)
[00:33:47 -486798.661590] SLOW spr round 1 (radius: 5)
[00:36:48 -486722.127340] SLOW spr round 2 (radius: 5)
[00:39:40 -486713.140966] SLOW spr round 3 (radius: 5)
[00:42:22 -486712.144725] SLOW spr round 4 (radius: 5)
[00:45:01 -486712.144500] SLOW spr round 5 (radius: 10)
[00:48:01 -486710.274900] SLOW spr round 6 (radius: 5)
[00:51:18 -486710.274637] SLOW spr round 7 (radius: 10)
[00:54:57 -486710.274484] SLOW spr round 8 (radius: 15)
[01:00:42 -486708.861554] SLOW spr round 9 (radius: 5)
[01:04:06 -486708.857801] SLOW spr round 10 (radius: 10)
[01:08:01 -486708.857188] SLOW spr round 11 (radius: 15)
[01:13:42 -486708.856976] SLOW spr round 12 (radius: 20)
[01:21:55 -486708.856818] SLOW spr round 13 (radius: 25)
[01:32:14 -486708.856668] Model parameter optimization (eps = 0.100000)

[01:32:18] ML tree search #1, logLikelihood: -486708.853051

[01:32:18 -1468963.528109] Initial branch length optimization
[01:32:25 -1180836.490806] Model parameter optimization (eps = 10.000000)
[01:33:23 -1174436.664572] AUTODETECT spr round 1 (radius: 5)
[01:35:58 -866105.283936] AUTODETECT spr round 2 (radius: 10)
[01:38:41 -678564.961205] AUTODETECT spr round 3 (radius: 15)
[01:41:50 -589513.832949] AUTODETECT spr round 4 (radius: 20)
[01:45:54 -539911.466215] AUTODETECT spr round 5 (radius: 25)
[01:50:40 -535366.395675] SPR radius for FAST iterations: 25 (autodetect)
[01:50:40 -535366.395675] Model parameter optimization (eps = 3.000000)
[01:51:28 -532591.675244] FAST spr round 1 (radius: 25)
[01:56:25 -485731.047745] FAST spr round 2 (radius: 25)
[01:59:59 -484449.429267] FAST spr round 3 (radius: 25)
[02:02:55 -484377.410819] FAST spr round 4 (radius: 25)
[02:05:19 -484364.016274] FAST spr round 5 (radius: 25)
[02:07:29 -484358.230929] FAST spr round 6 (radius: 25)
[02:09:32 -484353.186859] FAST spr round 7 (radius: 25)
[02:11:30 -484353.185933] Model parameter optimization (eps = 1.000000)
[02:11:50 -484342.855356] SLOW spr round 1 (radius: 5)
[02:14:45 -484241.394277] SLOW spr round 2 (radius: 5)
[02:17:29 -484232.474401] SLOW spr round 3 (radius: 5)
[02:20:04 -484232.398980] SLOW spr round 4 (radius: 10)
[02:23:00 -484212.976600] SLOW spr round 5 (radius: 5)
[02:26:16 -484207.577342] SLOW spr round 6 (radius: 5)
[02:29:07 -484207.576777] SLOW spr round 7 (radius: 10)
[02:32:11 -484207.576605] SLOW spr round 8 (radius: 15)
[02:37:47 -484206.139220] SLOW spr round 9 (radius: 5)
[02:41:09 -484203.322749] SLOW spr round 10 (radius: 5)
[02:44:04 -484203.321784] SLOW spr round 11 (radius: 10)
[02:47:14 -484201.776897] SLOW spr round 12 (radius: 5)
[02:50:25 -484200.976266] SLOW spr round 13 (radius: 5)
[02:53:14 -484200.976069] SLOW spr round 14 (radius: 10)
[02:56:19 -484200.975952] SLOW spr round 15 (radius: 15)
[03:02:03 -484200.787460] SLOW spr round 16 (radius: 5)
[03:05:21 -484200.786618] SLOW spr round 17 (radius: 10)
[03:09:04 -484200.786490] SLOW spr round 18 (radius: 15)
[03:14:25 -484200.786379] SLOW spr round 19 (radius: 20)
[03:22:32 -484200.786268] SLOW spr round 20 (radius: 25)
[03:32:34 -484198.479104] SLOW spr round 21 (radius: 5)
[03:36:04 -484197.281561] SLOW spr round 22 (radius: 5)
[03:39:06 -484197.280672] SLOW spr round 23 (radius: 10)
[03:42:26 -484197.198764] SLOW spr round 24 (radius: 15)
[03:48:05 -484197.198761] SLOW spr round 25 (radius: 20)
[03:56:23 -484197.198758] SLOW spr round 26 (radius: 25)
[04:06:26 -484197.198756] Model parameter optimization (eps = 0.100000)

[04:06:41] ML tree search #2, logLikelihood: -484196.436662

[04:06:41 -1473057.841796] Initial branch length optimization
[04:06:48 -1174145.494701] Model parameter optimization (eps = 10.000000)
[04:07:54 -1168058.467139] AUTODETECT spr round 1 (radius: 5)
[04:10:25 -842766.936272] AUTODETECT spr round 2 (radius: 10)
[04:13:08 -697218.933183] AUTODETECT spr round 3 (radius: 15)
[04:16:15 -569866.811711] AUTODETECT spr round 4 (radius: 20)
[04:20:07 -539884.807672] AUTODETECT spr round 5 (radius: 25)
[04:25:42 -532241.411213] SPR radius for FAST iterations: 25 (autodetect)
[04:25:42 -532241.411213] Model parameter optimization (eps = 3.000000)
[04:26:34 -529436.064063] FAST spr round 1 (radius: 25)
[04:31:30 -485730.565355] FAST spr round 2 (radius: 25)
[04:35:09 -484489.007104] FAST spr round 3 (radius: 25)
[04:38:09 -484382.142864] FAST spr round 4 (radius: 25)
[04:40:37 -484358.919010] FAST spr round 5 (radius: 25)
[04:42:49 -484352.641093] FAST spr round 6 (radius: 25)
[04:45:02 -484338.664573] FAST spr round 7 (radius: 25)
[04:47:00 -484338.664244] Model parameter optimization (eps = 1.000000)
[04:47:08 -484337.656008] SLOW spr round 1 (radius: 5)
[04:50:04 -484243.093588] SLOW spr round 2 (radius: 5)
[04:52:50 -484233.671516] SLOW spr round 3 (radius: 5)
[04:55:26 -484233.338136] SLOW spr round 4 (radius: 5)
[04:58:01 -484233.337460] SLOW spr round 5 (radius: 10)
[05:00:57 -484224.176836] SLOW spr round 6 (radius: 5)
[05:04:14 -484217.064166] SLOW spr round 7 (radius: 5)
[05:07:08 -484216.414471] SLOW spr round 8 (radius: 5)
[05:09:51 -484216.414304] SLOW spr round 9 (radius: 10)
[05:12:52 -484216.414290] SLOW spr round 10 (radius: 15)
[05:19:01 -484216.414285] SLOW spr round 11 (radius: 20)
[05:27:37 -484216.414282] SLOW spr round 12 (radius: 25)
[05:37:46 -484216.414280] Model parameter optimization (eps = 0.100000)

[05:37:51] ML tree search #3, logLikelihood: -484216.386125

[05:37:51 -1475623.775200] Initial branch length optimization
[05:37:58 -1168647.948672] Model parameter optimization (eps = 10.000000)
[05:38:57 -1162088.942873] AUTODETECT spr round 1 (radius: 5)
[05:41:30 -868912.016501] AUTODETECT spr round 2 (radius: 10)
[05:44:16 -676755.574926] AUTODETECT spr round 3 (radius: 15)
[05:47:16 -581870.008437] AUTODETECT spr round 4 (radius: 20)
[05:51:15 -548858.740053] AUTODETECT spr round 5 (radius: 25)
[05:55:50 -536115.861503] SPR radius for FAST iterations: 25 (autodetect)
[05:55:50 -536115.861503] Model parameter optimization (eps = 3.000000)
[05:56:03 -536019.770458] FAST spr round 1 (radius: 25)
[06:00:57 -489722.675154] FAST spr round 2 (radius: 25)
[06:04:38 -487741.537439] FAST spr round 3 (radius: 25)
[06:07:37 -487601.063838] FAST spr round 4 (radius: 25)
[06:10:06 -487582.614906] FAST spr round 5 (radius: 25)
[06:12:13 -487582.612428] Model parameter optimization (eps = 1.000000)
[06:12:21 -487580.486338] SLOW spr round 1 (radius: 5)
[06:15:21 -487453.075398] SLOW spr round 2 (radius: 5)
[06:18:12 -487431.561924] SLOW spr round 3 (radius: 5)
[06:20:57 -487423.390610] SLOW spr round 4 (radius: 5)
[06:23:36 -487421.439454] SLOW spr round 5 (radius: 5)
[06:26:13 -487421.439023] SLOW spr round 6 (radius: 10)
[06:29:11 -487420.220152] SLOW spr round 7 (radius: 5)
[06:32:26 -487420.130518] SLOW spr round 8 (radius: 10)
[06:36:01 -487420.128390] SLOW spr round 9 (radius: 15)
[06:41:38 -487415.210179] SLOW spr round 10 (radius: 5)
[06:45:12 -487397.578083] SLOW spr round 11 (radius: 5)
[06:48:20 -487392.054657] SLOW spr round 12 (radius: 5)
[06:51:06 -487392.054223] SLOW spr round 13 (radius: 10)
[06:54:11 -487389.191434] SLOW spr round 14 (radius: 5)
[06:57:24 -487389.191104] SLOW spr round 15 (radius: 10)
[07:00:57 -487389.190989] SLOW spr round 16 (radius: 15)
[07:06:30 -487389.190878] SLOW spr round 17 (radius: 20)
[07:14:41 -487389.190768] SLOW spr round 18 (radius: 25)
[07:25:14 -487389.190658] Model parameter optimization (eps = 0.100000)

[07:25:18] ML tree search #4, logLikelihood: -487389.163386

[07:25:19 -1461559.493899] Initial branch length optimization
[07:25:25 -1166568.314146] Model parameter optimization (eps = 10.000000)
[07:26:27 -1160462.747051] AUTODETECT spr round 1 (radius: 5)
[07:28:59 -850088.638283] AUTODETECT spr round 2 (radius: 10)
[07:31:46 -678522.864476] AUTODETECT spr round 3 (radius: 15)
[07:34:47 -595974.670571] AUTODETECT spr round 4 (radius: 20)
[07:38:48 -540756.797938] AUTODETECT spr round 5 (radius: 25)
[07:43:55 -537331.717038] SPR radius for FAST iterations: 25 (autodetect)
[07:43:55 -537331.717038] Model parameter optimization (eps = 3.000000)
[07:44:55 -534739.027241] FAST spr round 1 (radius: 25)
[07:49:47 -486169.388136] FAST spr round 2 (radius: 25)
[07:53:16 -484563.358238] FAST spr round 3 (radius: 25)
[07:56:01 -484402.113764] FAST spr round 4 (radius: 25)
[07:58:27 -484350.138600] FAST spr round 5 (radius: 25)
[08:00:31 -484350.138080] Model parameter optimization (eps = 1.000000)
[08:00:47 -484340.489663] SLOW spr round 1 (radius: 5)
[08:03:35 -484229.781243] SLOW spr round 2 (radius: 5)
[08:06:18 -484219.118076] SLOW spr round 3 (radius: 5)
[08:08:53 -484219.116880] SLOW spr round 4 (radius: 10)
[08:11:45 -484218.907357] SLOW spr round 5 (radius: 5)
[08:14:56 -484218.906569] SLOW spr round 6 (radius: 10)
[08:18:27 -484218.906398] SLOW spr round 7 (radius: 15)
[08:23:44 -484212.213833] SLOW spr round 8 (radius: 5)
[08:27:04 -484211.438786] SLOW spr round 9 (radius: 5)
[08:30:01 -484211.438133] SLOW spr round 10 (radius: 10)
[08:33:11 -484211.437948] SLOW spr round 11 (radius: 15)
[08:38:48 -484211.437798] SLOW spr round 12 (radius: 20)
[08:46:57 -484211.437651] SLOW spr round 13 (radius: 25)
[08:56:35 -484208.531862] SLOW spr round 14 (radius: 5)
[09:00:03 -484208.260358] SLOW spr round 15 (radius: 5)
[09:03:06 -484208.258688] SLOW spr round 16 (radius: 10)
[09:06:25 -484208.258163] SLOW spr round 17 (radius: 15)
[09:11:56 -484208.257979] SLOW spr round 18 (radius: 20)
[09:20:05 -484208.257900] SLOW spr round 19 (radius: 25)
[09:29:49 -484208.257852] Model parameter optimization (eps = 0.100000)

[09:29:55] ML tree search #5, logLikelihood: -484208.189033

[09:29:55 -1463670.293498] Initial branch length optimization
[09:30:02 -1164067.432574] Model parameter optimization (eps = 10.000000)
[09:30:55 -1158236.517463] AUTODETECT spr round 1 (radius: 5)
[09:33:23 -856879.807731] AUTODETECT spr round 2 (radius: 10)
[09:36:08 -674630.702905] AUTODETECT spr round 3 (radius: 15)
[09:39:21 -571983.399280] AUTODETECT spr round 4 (radius: 20)
[09:42:53 -538690.102161] AUTODETECT spr round 5 (radius: 25)
[09:47:11 -530945.951057] SPR radius for FAST iterations: 25 (autodetect)
[09:47:11 -530945.951057] Model parameter optimization (eps = 3.000000)
[09:47:58 -528578.088786] FAST spr round 1 (radius: 25)
[09:52:39 -486260.804400] FAST spr round 2 (radius: 25)
[09:56:02 -484486.822608] FAST spr round 3 (radius: 25)
[09:58:45 -484397.654073] FAST spr round 4 (radius: 25)
[10:01:07 -484383.346744] FAST spr round 5 (radius: 25)
[10:03:15 -484380.633955] FAST spr round 6 (radius: 25)
[10:05:15 -484380.632737] Model parameter optimization (eps = 1.000000)
[10:05:32 -484375.811361] SLOW spr round 1 (radius: 5)
[10:08:17 -484258.374733] SLOW spr round 2 (radius: 5)
[10:11:00 -484246.799159] SLOW spr round 3 (radius: 5)
[10:13:34 -484246.152761] SLOW spr round 4 (radius: 5)
[10:16:07 -484246.152482] SLOW spr round 5 (radius: 10)
[10:19:02 -484239.633111] SLOW spr round 6 (radius: 5)
[10:22:13 -484239.632252] SLOW spr round 7 (radius: 10)
[10:25:47 -484238.673299] SLOW spr round 8 (radius: 5)
[10:28:54 -484238.054376] SLOW spr round 9 (radius: 5)
[10:31:43 -484238.053788] SLOW spr round 10 (radius: 10)
[10:34:49 -484238.053638] SLOW spr round 11 (radius: 15)
[10:40:43 -484236.133102] SLOW spr round 12 (radius: 5)
[10:44:00 -484236.130080] SLOW spr round 13 (radius: 10)
[10:47:48 -484236.129480] SLOW spr round 14 (radius: 15)
[10:53:16 -484236.062432] SLOW spr round 15 (radius: 20)
[11:01:28 -484236.061304] SLOW spr round 16 (radius: 25)
[11:11:22 -484235.106601] SLOW spr round 17 (radius: 5)
[11:14:53 -484233.936969] SLOW spr round 18 (radius: 5)
[11:17:56 -484233.936473] SLOW spr round 19 (radius: 10)
[11:21:20 -484223.127026] SLOW spr round 20 (radius: 5)
[11:24:27 -484222.376285] SLOW spr round 21 (radius: 5)
[11:27:17 -484222.375775] SLOW spr round 22 (radius: 10)
[11:30:25 -484222.375764] SLOW spr round 23 (radius: 15)
[11:36:18 -484220.965839] SLOW spr round 24 (radius: 5)
[11:39:38 -484218.024932] SLOW spr round 25 (radius: 5)
[11:42:35 -484217.966781] SLOW spr round 26 (radius: 10)
[11:45:49 -484217.330084] SLOW spr round 27 (radius: 5)
[11:48:57 -484217.329848] SLOW spr round 28 (radius: 10)
[11:52:26 -484217.329837] SLOW spr round 29 (radius: 15)
[11:58:03 -484215.678322] SLOW spr round 30 (radius: 5)
[12:01:22 -484215.677599] SLOW spr round 31 (radius: 10)
[12:05:11 -484215.677549] SLOW spr round 32 (radius: 15)
[12:10:42 -484215.677524] SLOW spr round 33 (radius: 20)
[12:19:19 -484215.677521] SLOW spr round 34 (radius: 25)
[12:29:30 -484215.677518] Model parameter optimization (eps = 0.100000)

[12:29:36] ML tree search #6, logLikelihood: -484215.635522

[12:29:36 -1461604.036132] Initial branch length optimization
[12:29:43 -1173480.375335] Model parameter optimization (eps = 10.000000)
[12:30:44 -1167328.203019] AUTODETECT spr round 1 (radius: 5)
[12:33:15 -846063.908463] AUTODETECT spr round 2 (radius: 10)
[12:35:59 -668159.661423] AUTODETECT spr round 3 (radius: 15)
[12:39:01 -595750.082643] AUTODETECT spr round 4 (radius: 20)
[12:43:04 -543811.972634] AUTODETECT spr round 5 (radius: 25)
[12:47:20 -539086.658327] SPR radius for FAST iterations: 25 (autodetect)
[12:47:20 -539086.658327] Model parameter optimization (eps = 3.000000)
[12:47:33 -538995.189485] FAST spr round 1 (radius: 25)
[12:52:38 -489028.469858] FAST spr round 2 (radius: 25)
[12:56:20 -487090.424058] FAST spr round 3 (radius: 25)
[12:59:21 -486872.159130] FAST spr round 4 (radius: 25)
[13:01:53 -486843.207403] FAST spr round 5 (radius: 25)
[13:04:03 -486841.517635] FAST spr round 6 (radius: 25)
[13:06:06 -486841.515699] Model parameter optimization (eps = 1.000000)
[13:06:14 -486839.501727] SLOW spr round 1 (radius: 5)
[13:09:12 -486736.520265] SLOW spr round 2 (radius: 5)
[13:12:03 -486719.970661] SLOW spr round 3 (radius: 5)
[13:14:42 -486719.970414] SLOW spr round 4 (radius: 10)
[13:17:45 -486715.157123] SLOW spr round 5 (radius: 5)
[13:21:09 -486708.938003] SLOW spr round 6 (radius: 5)
[13:24:06 -486708.937539] SLOW spr round 7 (radius: 10)
[13:27:15 -486708.915961] SLOW spr round 8 (radius: 15)
[13:33:16 -486707.653109] SLOW spr round 9 (radius: 5)
[13:36:40 -486707.258210] SLOW spr round 10 (radius: 5)
[13:39:40 -486707.256811] SLOW spr round 11 (radius: 10)
[13:42:54 -486707.256643] SLOW spr round 12 (radius: 15)
[13:48:51 -486707.256480] SLOW spr round 13 (radius: 20)
[13:57:27 -486707.256332] SLOW spr round 14 (radius: 25)
[14:07:17 -486707.256184] Model parameter optimization (eps = 0.100000)

[14:07:22] ML tree search #7, logLikelihood: -486707.232786

[14:07:22 -1468414.089088] Initial branch length optimization
[14:07:31 -1171200.346788] Model parameter optimization (eps = 10.000000)
[14:08:20 -1165066.150770] AUTODETECT spr round 1 (radius: 5)
[14:10:50 -860100.182725] AUTODETECT spr round 2 (radius: 10)
[14:13:35 -683607.619475] AUTODETECT spr round 3 (radius: 15)
[14:16:47 -583956.875796] AUTODETECT spr round 4 (radius: 20)
[14:20:22 -547088.437717] AUTODETECT spr round 5 (radius: 25)
[14:24:43 -535270.989378] SPR radius for FAST iterations: 25 (autodetect)
[14:24:43 -535270.989378] Model parameter optimization (eps = 3.000000)
[14:25:36 -532814.109066] FAST spr round 1 (radius: 25)
[14:30:10 -486363.979933] FAST spr round 2 (radius: 25)
[14:33:31 -484623.764798] FAST spr round 3 (radius: 25)
[14:36:19 -484438.837924] FAST spr round 4 (radius: 25)
[14:38:40 -484418.520365] FAST spr round 5 (radius: 25)
[14:40:48 -484415.394390] FAST spr round 6 (radius: 25)
[14:42:49 -484415.393243] Model parameter optimization (eps = 1.000000)
[14:43:09 -484405.430489] SLOW spr round 1 (radius: 5)
[14:45:52 -484289.045330] SLOW spr round 2 (radius: 5)
[14:48:38 -484267.015148] SLOW spr round 3 (radius: 5)
[14:51:15 -484265.288550] SLOW spr round 4 (radius: 5)
[14:53:48 -484265.287324] SLOW spr round 5 (radius: 10)
[14:56:48 -484247.571219] SLOW spr round 6 (radius: 5)
[15:00:05 -484233.058152] SLOW spr round 7 (radius: 5)
[15:02:57 -484233.056468] SLOW spr round 8 (radius: 10)
[15:06:05 -484232.433225] SLOW spr round 9 (radius: 5)
[15:09:12 -484230.601095] SLOW spr round 10 (radius: 5)
[15:12:02 -484230.600952] SLOW spr round 11 (radius: 10)
[15:15:06 -484230.512458] SLOW spr round 12 (radius: 15)
[15:20:46 -484228.282152] SLOW spr round 13 (radius: 5)
[15:24:04 -484228.275080] SLOW spr round 14 (radius: 10)
[15:27:47 -484228.274054] SLOW spr round 15 (radius: 15)
[15:33:04 -484228.273802] SLOW spr round 16 (radius: 20)
[15:41:17 -484228.273670] SLOW spr round 17 (radius: 25)
[15:51:01 -484228.273555] Model parameter optimization (eps = 0.100000)

[15:51:06] ML tree search #8, logLikelihood: -484228.259472

[15:51:06 -1472531.980042] Initial branch length optimization
[15:51:13 -1172159.121703] Model parameter optimization (eps = 10.000000)
[15:52:25 -1165483.228508] AUTODETECT spr round 1 (radius: 5)
[15:54:57 -886953.122247] AUTODETECT spr round 2 (radius: 10)
[15:57:40 -702522.377059] AUTODETECT spr round 3 (radius: 15)
[16:00:47 -597761.665419] AUTODETECT spr round 4 (radius: 20)
[16:04:14 -544449.210418] AUTODETECT spr round 5 (radius: 25)
[16:08:45 -537384.193252] SPR radius for FAST iterations: 25 (autodetect)
[16:08:45 -537384.193252] Model parameter optimization (eps = 3.000000)
[16:10:03 -534203.542834] FAST spr round 1 (radius: 25)
[16:14:56 -486133.373089] FAST spr round 2 (radius: 25)
[16:18:36 -484488.324146] FAST spr round 3 (radius: 25)
[16:21:25 -484387.654956] FAST spr round 4 (radius: 25)
[16:23:46 -484382.232998] FAST spr round 5 (radius: 25)
[16:25:54 -484380.801009] FAST spr round 6 (radius: 25)
[16:27:54 -484380.800844] Model parameter optimization (eps = 1.000000)
[16:28:11 -484372.872518] SLOW spr round 1 (radius: 5)
[16:31:03 -484287.291873] SLOW spr round 2 (radius: 5)
[16:33:41 -484284.562777] SLOW spr round 3 (radius: 5)
[16:36:15 -484284.561651] SLOW spr round 4 (radius: 10)
[16:39:09 -484281.789033] SLOW spr round 5 (radius: 5)
[16:42:20 -484279.888310] SLOW spr round 6 (radius: 5)
[16:45:13 -484277.972017] SLOW spr round 7 (radius: 5)
[16:47:58 -484273.467476] SLOW spr round 8 (radius: 5)
[16:50:37 -484268.836512] SLOW spr round 9 (radius: 5)
[16:53:11 -484268.835969] SLOW spr round 10 (radius: 10)
[16:56:06 -484268.377705] SLOW spr round 11 (radius: 5)
[16:59:20 -484265.323266] SLOW spr round 12 (radius: 5)
[17:02:11 -484265.301069] SLOW spr round 13 (radius: 10)
[17:05:20 -484261.649995] SLOW spr round 14 (radius: 5)
[17:08:31 -484254.570601] SLOW spr round 15 (radius: 5)
[17:11:22 -484254.134628] SLOW spr round 16 (radius: 5)
[17:14:03 -484254.134115] SLOW spr round 17 (radius: 10)
[17:17:04 -484253.114420] SLOW spr round 18 (radius: 5)
[17:20:14 -484249.551892] SLOW spr round 19 (radius: 5)
[17:23:06 -484244.783142] SLOW spr round 20 (radius: 5)
[17:25:47 -484244.782770] SLOW spr round 21 (radius: 10)
[17:28:46 -484244.387875] SLOW spr round 22 (radius: 5)
[17:31:56 -484243.371962] SLOW spr round 23 (radius: 5)
[17:34:49 -484242.314008] SLOW spr round 24 (radius: 5)
[17:37:35 -484236.551879] SLOW spr round 25 (radius: 5)
[17:40:15 -484235.806454] SLOW spr round 26 (radius: 5)
[17:42:49 -484235.805246] SLOW spr round 27 (radius: 10)
[17:45:43 -484233.065150] SLOW spr round 28 (radius: 5)
[17:48:59 -484225.746415] SLOW spr round 29 (radius: 5)
[17:51:53 -484224.125712] SLOW spr round 30 (radius: 5)
[17:54:33 -484224.125255] SLOW spr round 31 (radius: 10)
[17:57:32 -484224.125211] SLOW spr round 32 (radius: 15)
[18:03:40 -484219.212687] SLOW spr round 33 (radius: 5)
[18:06:57 -484219.204502] SLOW spr round 34 (radius: 10)
[18:10:46 -484219.203419] SLOW spr round 35 (radius: 15)
[18:16:17 -484219.203294] SLOW spr round 36 (radius: 20)
[18:24:33 -484201.700797] SLOW spr round 37 (radius: 5)
[18:27:58 -484201.700610] SLOW spr round 38 (radius: 10)
[18:32:05 -484201.700596] SLOW spr round 39 (radius: 15)
[18:37:38 -484200.882136] SLOW spr round 40 (radius: 5)
[18:40:55 -484200.881948] SLOW spr round 41 (radius: 10)
[18:44:47 -484200.881935] SLOW spr round 42 (radius: 15)
[18:50:18 -484200.881925] SLOW spr round 43 (radius: 20)
[18:58:32 -484200.881916] SLOW spr round 44 (radius: 25)
[19:08:08 -484200.881906] Model parameter optimization (eps = 0.100000)

[19:08:19] ML tree search #9, logLikelihood: -484200.679215

[19:08:19 -1477814.029097] Initial branch length optimization
[19:08:27 -1177318.748957] Model parameter optimization (eps = 10.000000)
[19:09:19 -1170946.086667] AUTODETECT spr round 1 (radius: 5)
[19:11:50 -868079.492140] AUTODETECT spr round 2 (radius: 10)
[19:14:36 -677622.811718] AUTODETECT spr round 3 (radius: 15)
[19:17:44 -566469.169338] AUTODETECT spr round 4 (radius: 20)
[19:21:27 -528102.755634] AUTODETECT spr round 5 (radius: 25)
[19:26:01 -525748.671525] SPR radius for FAST iterations: 25 (autodetect)
[19:26:01 -525748.671525] Model parameter optimization (eps = 3.000000)
[19:26:11 -525652.909393] FAST spr round 1 (radius: 25)
[19:31:25 -489057.708752] FAST spr round 2 (radius: 25)
[19:35:05 -487534.510515] FAST spr round 3 (radius: 25)
[19:38:08 -487356.258672] FAST spr round 4 (radius: 25)
[19:40:35 -487339.650985] FAST spr round 5 (radius: 25)
[19:42:53 -487322.553557] FAST spr round 6 (radius: 25)
[19:45:11 -487299.758838] FAST spr round 7 (radius: 25)
[19:47:20 -487292.348714] FAST spr round 8 (radius: 25)
[19:49:17 -487292.348249] Model parameter optimization (eps = 1.000000)
[19:49:26 -487290.987245] SLOW spr round 1 (radius: 5)
[19:52:17 -487185.985220] SLOW spr round 2 (radius: 5)
[19:55:07 -487169.550888] SLOW spr round 3 (radius: 5)
[19:57:43 -487168.311462] SLOW spr round 4 (radius: 5)
[20:00:17 -487168.311139] SLOW spr round 5 (radius: 10)
[20:03:11 -487167.557638] SLOW spr round 6 (radius: 5)
[20:06:25 -487167.234231] SLOW spr round 7 (radius: 5)
[20:09:17 -487167.233814] SLOW spr round 8 (radius: 10)
[20:12:27 -487167.215267] SLOW spr round 9 (radius: 15)
[20:18:35 -487167.215135] SLOW spr round 10 (radius: 20)
[20:26:54 -487167.215008] SLOW spr round 11 (radius: 25)
[20:37:05 -487166.622127] SLOW spr round 12 (radius: 5)
[20:40:34 -487166.577591] SLOW spr round 13 (radius: 10)
[20:44:57 -487166.574554] SLOW spr round 14 (radius: 15)
[20:50:44 -487166.573342] SLOW spr round 15 (radius: 20)
[20:59:13 -487166.572853] SLOW spr round 16 (radius: 25)
[21:09:23 -487166.572650] Model parameter optimization (eps = 0.100000)

[21:09:29] ML tree search #10, logLikelihood: -487166.520780

[21:09:29 -1470708.924009] Initial branch length optimization
[21:09:36 -1171117.612393] Model parameter optimization (eps = 10.000000)
[21:10:33 -1164926.321769] AUTODETECT spr round 1 (radius: 5)
[21:13:05 -875436.281950] AUTODETECT spr round 2 (radius: 10)
[21:15:49 -694705.624574] AUTODETECT spr round 3 (radius: 15)
[21:18:52 -603352.123166] AUTODETECT spr round 4 (radius: 20)
[21:22:43 -542895.617868] AUTODETECT spr round 5 (radius: 25)
[21:26:48 -538835.464752] SPR radius for FAST iterations: 25 (autodetect)
[21:26:48 -538835.464752] Model parameter optimization (eps = 3.000000)
[21:27:21 -536376.317821] FAST spr round 1 (radius: 25)
[21:32:19 -486832.396471] FAST spr round 2 (radius: 25)
[21:35:53 -484628.163644] FAST spr round 3 (radius: 25)
[21:38:44 -484537.660742] FAST spr round 4 (radius: 25)
[21:41:06 -484505.016496] FAST spr round 5 (radius: 25)
[21:43:11 -484503.711106] FAST spr round 6 (radius: 25)
[21:45:10 -484503.710748] Model parameter optimization (eps = 1.000000)
[21:45:19 -484501.181562] SLOW spr round 1 (radius: 5)
[21:48:10 -484403.117183] SLOW spr round 2 (radius: 5)
[21:50:53 -484391.463458] SLOW spr round 3 (radius: 5)
[21:53:33 -484376.444786] SLOW spr round 4 (radius: 5)
[21:56:08 -484374.543793] SLOW spr round 5 (radius: 5)
[21:58:41 -484374.499140] SLOW spr round 6 (radius: 10)
[22:01:34 -484372.332496] SLOW spr round 7 (radius: 5)
[22:04:44 -484371.914093] SLOW spr round 8 (radius: 5)
[22:07:36 -484371.912606] SLOW spr round 9 (radius: 10)
[22:10:43 -484371.280019] SLOW spr round 10 (radius: 5)
[22:13:52 -484367.408030] SLOW spr round 11 (radius: 5)
[22:16:41 -484367.407083] SLOW spr round 12 (radius: 10)
[22:19:47 -484366.387465] SLOW spr round 13 (radius: 5)
[22:22:58 -484363.442529] SLOW spr round 14 (radius: 5)
[22:25:47 -484363.440155] SLOW spr round 15 (radius: 10)
[22:28:54 -484363.439764] SLOW spr round 16 (radius: 15)
[22:34:41 -484359.785750] SLOW spr round 17 (radius: 5)
[22:38:01 -484357.554037] SLOW spr round 18 (radius: 5)
[22:40:58 -484356.202506] SLOW spr round 19 (radius: 5)
[22:43:41 -484356.201694] SLOW spr round 20 (radius: 10)
[22:46:46 -484356.201677] SLOW spr round 21 (radius: 15)
[22:52:55 -484356.201674] SLOW spr round 22 (radius: 20)
[23:00:37 -484356.201672] SLOW spr round 23 (radius: 25)
[23:09:51 -484356.201670] Model parameter optimization (eps = 0.100000)

[23:09:56] ML tree search #11, logLikelihood: -484356.188513

[23:09:57 -1466827.923960] Initial branch length optimization
[23:10:06 -1169105.312234] Model parameter optimization (eps = 10.000000)
[23:11:08 -1162879.747951] AUTODETECT spr round 1 (radius: 5)
[23:13:38 -859466.483990] AUTODETECT spr round 2 (radius: 10)
[23:16:24 -718432.022069] AUTODETECT spr round 3 (radius: 15)
[23:19:32 -609708.140397] AUTODETECT spr round 4 (radius: 20)
[23:23:28 -551972.366410] AUTODETECT spr round 5 (radius: 25)
[23:27:22 -544203.647414] SPR radius for FAST iterations: 25 (autodetect)
[23:27:22 -544203.647414] Model parameter optimization (eps = 3.000000)
[23:27:33 -544110.674912] FAST spr round 1 (radius: 25)
[23:32:50 -489039.575272] FAST spr round 2 (radius: 25)
[23:36:35 -487273.948231] FAST spr round 3 (radius: 25)
[23:39:38 -487160.717533] FAST spr round 4 (radius: 25)
[23:42:05 -487150.892453] FAST spr round 5 (radius: 25)
[23:44:18 -487144.336759] FAST spr round 6 (radius: 25)
[23:46:22 -487142.988778] FAST spr round 7 (radius: 25)
[23:48:22 -487142.987590] Model parameter optimization (eps = 1.000000)
[23:48:30 -487141.119632] SLOW spr round 1 (radius: 5)
[23:51:27 -487041.195066] SLOW spr round 2 (radius: 5)
[23:54:12 -487038.031454] SLOW spr round 3 (radius: 5)
[23:56:51 -487037.048117] SLOW spr round 4 (radius: 5)
[23:59:32 -487035.499749] SLOW spr round 5 (radius: 5)
[24:02:09 -487035.498814] SLOW spr round 6 (radius: 10)
[24:05:13 -487027.817205] SLOW spr round 7 (radius: 5)
[24:08:35 -487023.057791] SLOW spr round 8 (radius: 5)
[24:11:37 -487021.933924] SLOW spr round 9 (radius: 5)
[24:14:22 -487021.928435] SLOW spr round 10 (radius: 10)
[24:17:30 -487020.966931] SLOW spr round 11 (radius: 5)
[24:20:49 -487018.124298] SLOW spr round 12 (radius: 5)
[24:23:44 -487018.123519] SLOW spr round 13 (radius: 10)
[24:26:59 -487017.358202] SLOW spr round 14 (radius: 5)
[24:30:12 -487017.355297] SLOW spr round 15 (radius: 10)
[24:33:52 -487016.091218] SLOW spr round 16 (radius: 5)
[24:37:02 -487016.090429] SLOW spr round 17 (radius: 10)
[24:40:39 -487016.090211] SLOW spr round 18 (radius: 15)
[24:46:43 -487016.090101] SLOW spr round 19 (radius: 20)
[24:55:23 -487016.090006] SLOW spr round 20 (radius: 25)
[25:06:14 -487015.279013] SLOW spr round 21 (radius: 5)
[25:09:49 -487015.276417] SLOW spr round 22 (radius: 10)
[25:14:17 -487015.276012] SLOW spr round 23 (radius: 15)
[25:20:13 -487015.275930] SLOW spr round 24 (radius: 20)
[25:29:00 -487015.275912] SLOW spr round 25 (radius: 25)
[25:39:49 -487015.275907] Model parameter optimization (eps = 0.100000)

[25:39:54] ML tree search #12, logLikelihood: -487015.251778

[25:39:54 -1470703.760512] Initial branch length optimization
[25:40:01 -1173338.615503] Model parameter optimization (eps = 10.000000)
[25:40:58 -1166884.119035] AUTODETECT spr round 1 (radius: 5)
[25:43:31 -858450.323269] AUTODETECT spr round 2 (radius: 10)
[25:46:14 -661131.647270] AUTODETECT spr round 3 (radius: 15)
[25:49:22 -562114.971378] AUTODETECT spr round 4 (radius: 20)
[25:53:23 -533234.745404] AUTODETECT spr round 5 (radius: 25)
[25:57:48 -525163.868353] SPR radius for FAST iterations: 25 (autodetect)
[25:57:48 -525163.868353] Model parameter optimization (eps = 3.000000)
[25:58:38 -522446.695730] FAST spr round 1 (radius: 25)
[26:03:14 -485954.924670] FAST spr round 2 (radius: 25)
[26:06:48 -484480.715034] FAST spr round 3 (radius: 25)
[26:09:47 -484364.772207] FAST spr round 4 (radius: 25)
[26:12:16 -484352.184116] FAST spr round 5 (radius: 25)
[26:14:26 -484348.183927] FAST spr round 6 (radius: 25)
[26:16:28 -484346.590675] FAST spr round 7 (radius: 25)
[26:18:26 -484346.590049] Model parameter optimization (eps = 1.000000)
[26:18:45 -484339.817485] SLOW spr round 1 (radius: 5)
[26:21:36 -484252.620860] SLOW spr round 2 (radius: 5)
[26:24:22 -484248.801039] SLOW spr round 3 (radius: 5)
[26:27:02 -484247.033739] SLOW spr round 4 (radius: 5)
[26:29:37 -484245.954871] SLOW spr round 5 (radius: 5)
[26:32:11 -484245.954539] SLOW spr round 6 (radius: 10)
[26:35:01 -484245.912885] SLOW spr round 7 (radius: 15)
[26:41:25 -484241.508797] SLOW spr round 8 (radius: 5)
[26:44:42 -484241.502750] SLOW spr round 9 (radius: 10)
[26:48:25 -484241.469733] SLOW spr round 10 (radius: 15)
[26:54:01 -484241.469618] SLOW spr round 11 (radius: 20)
[27:02:31 -484241.469507] SLOW spr round 12 (radius: 25)
[27:12:41 -484241.469398] Model parameter optimization (eps = 0.100000)

[27:12:48] ML tree search #13, logLikelihood: -484241.395865

[27:12:48 -1460933.609738] Initial branch length optimization
[27:12:55 -1168464.782945] Model parameter optimization (eps = 10.000000)
[27:14:03 -1162499.372571] AUTODETECT spr round 1 (radius: 5)
[27:16:36 -866337.239475] AUTODETECT spr round 2 (radius: 10)
[27:19:22 -681781.404824] AUTODETECT spr round 3 (radius: 15)
[27:22:32 -571179.414732] AUTODETECT spr round 4 (radius: 20)
[27:26:07 -536206.493182] AUTODETECT spr round 5 (radius: 25)
[27:30:01 -531862.925249] SPR radius for FAST iterations: 25 (autodetect)
[27:30:01 -531862.925249] Model parameter optimization (eps = 3.000000)
[27:30:50 -529618.131931] FAST spr round 1 (radius: 25)
[27:35:08 -485998.142271] FAST spr round 2 (radius: 25)
[27:38:31 -484569.330350] FAST spr round 3 (radius: 25)
[27:41:17 -484486.881022] FAST spr round 4 (radius: 25)
[27:43:43 -484350.048196] FAST spr round 5 (radius: 25)
[27:45:53 -484346.688272] FAST spr round 6 (radius: 25)
[27:47:56 -484346.687023] Model parameter optimization (eps = 1.000000)
[27:48:19 -484339.502838] SLOW spr round 1 (radius: 5)
[27:51:09 -484236.779939] SLOW spr round 2 (radius: 5)
[27:53:56 -484225.634071] SLOW spr round 3 (radius: 5)
[27:56:35 -484223.524288] SLOW spr round 4 (radius: 5)
[27:59:12 -484223.523877] SLOW spr round 5 (radius: 10)
[28:02:09 -484219.145525] SLOW spr round 6 (radius: 5)
[28:05:22 -484219.145106] SLOW spr round 7 (radius: 10)
[28:08:55 -484218.150404] SLOW spr round 8 (radius: 5)
[28:12:03 -484218.149836] SLOW spr round 9 (radius: 10)
[28:15:29 -484218.124175] SLOW spr round 10 (radius: 15)
[28:21:05 -484214.812049] SLOW spr round 11 (radius: 5)
[28:24:29 -484213.154611] SLOW spr round 12 (radius: 5)
[28:27:27 -484213.153355] SLOW spr round 13 (radius: 10)
[28:30:43 -484213.153147] SLOW spr round 14 (radius: 15)
[28:36:27 -484213.002122] SLOW spr round 15 (radius: 5)
[28:39:46 -484213.001577] SLOW spr round 16 (radius: 10)
[28:43:36 -484213.001359] SLOW spr round 17 (radius: 15)
[28:49:01 -484213.001225] SLOW spr round 18 (radius: 20)
[28:57:11 -484202.295834] SLOW spr round 19 (radius: 5)
[29:00:38 -484201.524559] SLOW spr round 20 (radius: 5)
[29:03:41 -484201.066908] SLOW spr round 21 (radius: 5)
[29:06:30 -484201.066712] SLOW spr round 22 (radius: 10)
[29:09:35 -484200.593271] SLOW spr round 23 (radius: 5)
[29:12:45 -484200.592718] SLOW spr round 24 (radius: 10)
[29:16:16 -484200.592541] SLOW spr round 25 (radius: 15)
[29:21:42 -484200.592391] SLOW spr round 26 (radius: 20)
[29:29:42 -484200.592244] SLOW spr round 27 (radius: 25)
[29:39:21 -484200.592098] Model parameter optimization (eps = 0.100000)

[29:39:31] ML tree search #14, logLikelihood: -484200.324908

[29:39:31 -1470503.937945] Initial branch length optimization
[29:39:38 -1168753.673005] Model parameter optimization (eps = 10.000000)
[29:40:31 -1162701.625833] AUTODETECT spr round 1 (radius: 5)
[29:43:03 -848878.547424] AUTODETECT spr round 2 (radius: 10)
[29:45:47 -677173.283366] AUTODETECT spr round 3 (radius: 15)
[29:48:57 -579441.773169] AUTODETECT spr round 4 (radius: 20)
[29:52:40 -541915.787241] AUTODETECT spr round 5 (radius: 25)
[29:57:15 -533693.359030] SPR radius for FAST iterations: 25 (autodetect)
[29:57:15 -533693.359030] Model parameter optimization (eps = 3.000000)
[29:57:31 -533595.651916] FAST spr round 1 (radius: 25)
[30:02:21 -487898.201794] FAST spr round 2 (radius: 25)
[30:05:54 -486610.620475] FAST spr round 3 (radius: 25)
[30:08:49 -486532.503914] FAST spr round 4 (radius: 25)
[30:11:14 -486513.199854] FAST spr round 5 (radius: 25)
[30:13:26 -486505.356006] FAST spr round 6 (radius: 25)
[30:15:30 -486502.785555] FAST spr round 7 (radius: 25)
[30:17:31 -486502.785404] Model parameter optimization (eps = 1.000000)
[30:18:19 -484440.043615] SLOW spr round 1 (radius: 5)
[30:21:04 -484253.870681] SLOW spr round 2 (radius: 5)
[30:23:50 -484226.653050] SLOW spr round 3 (radius: 5)
[30:26:26 -484226.042174] SLOW spr round 4 (radius: 5)
[30:29:04 -484218.857214] SLOW spr round 5 (radius: 5)
[30:31:41 -484216.440487] SLOW spr round 6 (radius: 5)
[30:34:14 -484216.439931] SLOW spr round 7 (radius: 10)
[30:37:10 -484208.496892] SLOW spr round 8 (radius: 5)
[30:40:23 -484205.535078] SLOW spr round 9 (radius: 5)
[30:43:15 -484205.534864] SLOW spr round 10 (radius: 10)
[30:46:22 -484205.499108] SLOW spr round 11 (radius: 15)
[30:52:15 -484202.388490] SLOW spr round 12 (radius: 5)
[30:55:36 -484201.283796] SLOW spr round 13 (radius: 5)
[30:58:33 -484201.230130] SLOW spr round 14 (radius: 10)
[31:01:47 -484201.229818] SLOW spr round 15 (radius: 15)
[31:07:34 -484201.229667] SLOW spr round 16 (radius: 20)
[31:15:51 -484201.229520] SLOW spr round 17 (radius: 25)
[31:26:21 -484200.065402] SLOW spr round 18 (radius: 5)
[31:29:51 -484200.018813] SLOW spr round 19 (radius: 10)
[31:34:07 -484200.016741] SLOW spr round 20 (radius: 15)
[31:39:37 -484200.016108] SLOW spr round 21 (radius: 20)
[31:48:04 -484200.015899] SLOW spr round 22 (radius: 25)
[31:58:32 -484200.015812] Model parameter optimization (eps = 0.100000)

[31:58:42] ML tree search #15, logLikelihood: -484199.827287

[31:58:42 -1467892.008150] Initial branch length optimization
[31:58:50 -1169400.241486] Model parameter optimization (eps = 10.000000)
[31:59:53 -1163187.512060] AUTODETECT spr round 1 (radius: 5)
[32:02:27 -866644.132612] AUTODETECT spr round 2 (radius: 10)
[32:05:11 -685288.447440] AUTODETECT spr round 3 (radius: 15)
[32:08:19 -568494.270333] AUTODETECT spr round 4 (radius: 20)
[32:11:55 -535950.194574] AUTODETECT spr round 5 (radius: 25)
[32:16:06 -529221.535147] SPR radius for FAST iterations: 25 (autodetect)
[32:16:06 -529221.535147] Model parameter optimization (eps = 3.000000)
[32:16:21 -529117.951641] FAST spr round 1 (radius: 25)
[32:21:10 -488874.100911] FAST spr round 2 (radius: 25)
[32:24:42 -487106.687151] FAST spr round 3 (radius: 25)
[32:27:40 -486977.969192] FAST spr round 4 (radius: 25)
[32:30:06 -486957.657842] FAST spr round 5 (radius: 25)
[32:32:14 -486953.883009] FAST spr round 6 (radius: 25)
[32:34:16 -486953.882802] Model parameter optimization (eps = 1.000000)
[32:34:21 -486952.975048] SLOW spr round 1 (radius: 5)
[32:37:23 -486854.123004] SLOW spr round 2 (radius: 5)
[32:40:14 -486848.487814] SLOW spr round 3 (radius: 5)
[32:42:54 -486848.229821] SLOW spr round 4 (radius: 5)
[32:45:31 -486848.229542] SLOW spr round 5 (radius: 10)
[32:48:36 -486846.018029] SLOW spr round 6 (radius: 5)
[32:51:57 -486844.869550] SLOW spr round 7 (radius: 5)
[32:54:52 -486844.868392] SLOW spr round 8 (radius: 10)
[32:58:10 -486844.868217] SLOW spr round 9 (radius: 15)
[33:04:03 -486843.350900] SLOW spr round 10 (radius: 5)
[33:07:28 -486842.172164] SLOW spr round 11 (radius: 5)
[33:10:29 -486842.171486] SLOW spr round 12 (radius: 10)
[33:13:53 -486842.171216] SLOW spr round 13 (radius: 15)
[33:19:41 -486842.171040] SLOW spr round 14 (radius: 20)
[33:27:57 -486842.170895] SLOW spr round 15 (radius: 25)
[33:38:11 -486842.170761] Model parameter optimization (eps = 0.100000)

[33:38:16] ML tree search #16, logLikelihood: -486842.116692

[33:38:16 -1456533.922873] Initial branch length optimization
[33:38:24 -1170259.381501] Model parameter optimization (eps = 10.000000)
[33:39:12 -1164107.080812] AUTODETECT spr round 1 (radius: 5)
[33:41:43 -851893.888777] AUTODETECT spr round 2 (radius: 10)
[33:44:27 -664181.297748] AUTODETECT spr round 3 (radius: 15)
[33:47:45 -574389.474303] AUTODETECT spr round 4 (radius: 20)
[33:51:30 -535142.770990] AUTODETECT spr round 5 (radius: 25)
[33:55:59 -532546.363430] SPR radius for FAST iterations: 25 (autodetect)
[33:55:59 -532546.363430] Model parameter optimization (eps = 3.000000)
[33:56:14 -532448.572712] FAST spr round 1 (radius: 25)
[34:01:12 -487496.715244] FAST spr round 2 (radius: 25)
[34:04:52 -486664.828251] FAST spr round 3 (radius: 25)
[34:07:51 -486590.493061] FAST spr round 4 (radius: 25)
[34:10:19 -486568.987065] FAST spr round 5 (radius: 25)
[34:12:28 -486568.918093] Model parameter optimization (eps = 1.000000)
[34:12:39 -486567.333161] SLOW spr round 1 (radius: 5)
[34:15:42 -486455.753380] SLOW spr round 2 (radius: 5)
[34:18:32 -486449.056155] SLOW spr round 3 (radius: 5)
[34:21:12 -486449.054790] SLOW spr round 4 (radius: 10)
[34:24:15 -486442.020131] SLOW spr round 5 (radius: 5)
[34:27:34 -486440.588440] SLOW spr round 6 (radius: 5)
[34:30:31 -486440.587987] SLOW spr round 7 (radius: 10)
[34:33:46 -486440.234141] SLOW spr round 8 (radius: 5)
[34:37:01 -486440.232738] SLOW spr round 9 (radius: 10)
[34:40:38 -486438.354406] SLOW spr round 10 (radius: 5)
[34:43:50 -486438.354222] SLOW spr round 11 (radius: 10)
[34:47:22 -486438.354086] SLOW spr round 12 (radius: 15)
[34:53:12 -486437.812685] SLOW spr round 13 (radius: 5)
[34:56:38 -486437.341821] SLOW spr round 14 (radius: 5)
[34:59:38 -486437.340410] SLOW spr round 15 (radius: 10)
[35:02:57 -486437.340132] SLOW spr round 16 (radius: 15)
[35:08:59 -486437.339995] SLOW spr round 17 (radius: 20)
[35:17:41 -486437.339875] SLOW spr round 18 (radius: 25)
[35:28:13 -486437.176011] SLOW spr round 19 (radius: 5)
[35:31:48 -486437.174724] SLOW spr round 20 (radius: 10)
[35:36:07 -486437.174623] SLOW spr round 21 (radius: 15)
[35:41:51 -486437.174611] SLOW spr round 22 (radius: 20)
[35:50:45 -486437.174609] SLOW spr round 23 (radius: 25)
[36:01:16 -486437.174607] Model parameter optimization (eps = 0.100000)

[36:01:21] ML tree search #17, logLikelihood: -486437.165225

[36:01:21 -1472937.474492] Initial branch length optimization
[36:01:28 -1168247.229882] Model parameter optimization (eps = 10.000000)
[36:02:45 -1162023.109759] AUTODETECT spr round 1 (radius: 5)
[36:05:17 -855194.702911] AUTODETECT spr round 2 (radius: 10)
[36:07:59 -698338.385181] AUTODETECT spr round 3 (radius: 15)
[36:10:54 -625926.809553] AUTODETECT spr round 4 (radius: 20)
[36:14:18 -559046.811599] AUTODETECT spr round 5 (radius: 25)
[36:17:31 -545353.699173] SPR radius for FAST iterations: 25 (autodetect)
[36:17:31 -545353.699173] Model parameter optimization (eps = 3.000000)
[36:18:13 -542485.112251] FAST spr round 1 (radius: 25)
[36:22:13 -486651.192720] FAST spr round 2 (radius: 25)
[36:24:55 -484568.807651] FAST spr round 3 (radius: 25)
[36:27:10 -484369.710056] FAST spr round 4 (radius: 25)
[36:29:08 -484338.213735] FAST spr round 5 (radius: 25)
[36:30:53 -484338.212460] Model parameter optimization (eps = 1.000000)
[36:31:09 -484328.221431] SLOW spr round 1 (radius: 5)
[36:33:28 -484231.540268] SLOW spr round 2 (radius: 5)
[36:35:47 -484224.778575] SLOW spr round 3 (radius: 5)
[36:37:58 -484224.617840] SLOW spr round 4 (radius: 5)
[36:40:05 -484224.617512] SLOW spr round 5 (radius: 10)
[36:42:30 -484222.850030] SLOW spr round 6 (radius: 5)
[36:45:13 -484217.319762] SLOW spr round 7 (radius: 5)
[36:47:56 -484215.724243] SLOW spr round 8 (radius: 5)
[36:50:29 -484215.723118] SLOW spr round 9 (radius: 10)
[36:53:18 -484215.722834] SLOW spr round 10 (radius: 15)
[36:59:03 -484215.722663] SLOW spr round 11 (radius: 20)
[37:07:01 -484215.722513] SLOW spr round 12 (radius: 25)
[37:16:21 -484214.375624] SLOW spr round 13 (radius: 5)
[37:19:37 -484214.307115] SLOW spr round 14 (radius: 10)
[37:23:37 -484214.303651] SLOW spr round 15 (radius: 15)
[37:28:49 -484214.302153] SLOW spr round 16 (radius: 20)
[37:37:04 -484214.301505] SLOW spr round 17 (radius: 25)
[37:46:23 -484214.301224] Model parameter optimization (eps = 0.100000)

[37:46:28] ML tree search #18, logLikelihood: -484214.249490

[37:46:28 -1464789.173776] Initial branch length optimization
[37:46:34 -1172593.248556] Model parameter optimization (eps = 10.000000)
[37:47:24 -1166371.526729] AUTODETECT spr round 1 (radius: 5)
[37:49:49 -866903.562130] AUTODETECT spr round 2 (radius: 10)
[37:52:23 -696978.560277] AUTODETECT spr round 3 (radius: 15)
[37:55:19 -615965.371263] AUTODETECT spr round 4 (radius: 20)
[37:58:41 -579912.602341] AUTODETECT spr round 5 (radius: 25)
[38:02:25 -547663.727508] SPR radius for FAST iterations: 25 (autodetect)
[38:02:25 -547663.727508] Model parameter optimization (eps = 3.000000)
[38:02:38 -547579.879894] FAST spr round 1 (radius: 25)
[38:07:40 -491856.575156] FAST spr round 2 (radius: 25)
[38:11:12 -487301.360419] FAST spr round 3 (radius: 25)
[38:13:57 -486870.196007] FAST spr round 4 (radius: 25)
[38:16:12 -486836.377246] FAST spr round 5 (radius: 25)
[38:18:15 -486828.750169] FAST spr round 6 (radius: 25)
[38:20:11 -486826.742877] FAST spr round 7 (radius: 25)
[38:22:05 -486822.657819] FAST spr round 8 (radius: 25)
[38:23:55 -486822.656446] Model parameter optimization (eps = 1.000000)
[38:24:02 -486819.550769] SLOW spr round 1 (radius: 5)
[38:26:42 -486734.921883] SLOW spr round 2 (radius: 5)
[38:29:13 -486730.037815] SLOW spr round 3 (radius: 5)
[38:31:42 -486730.037253] SLOW spr round 4 (radius: 10)
[38:34:32 -486720.088592] SLOW spr round 5 (radius: 5)
[38:37:40 -486714.525353] SLOW spr round 6 (radius: 5)
[38:40:27 -486713.609371] SLOW spr round 7 (radius: 5)
[38:43:05 -486711.146225] SLOW spr round 8 (radius: 5)
[38:45:36 -486711.146040] SLOW spr round 9 (radius: 10)
[38:48:27 -486701.130084] SLOW spr round 10 (radius: 5)
[38:51:33 -486697.778056] SLOW spr round 11 (radius: 5)
[38:54:18 -486697.777847] SLOW spr round 12 (radius: 10)
[38:57:18 -486697.595511] SLOW spr round 13 (radius: 5)
[39:00:18 -486697.592557] SLOW spr round 14 (radius: 10)
[39:03:37 -486697.592314] SLOW spr round 15 (radius: 15)
[39:08:45 -486696.562890] SLOW spr round 16 (radius: 5)
[39:11:56 -486694.742433] SLOW spr round 17 (radius: 5)
[39:14:44 -486694.741786] SLOW spr round 18 (radius: 10)
[39:17:48 -486694.741672] SLOW spr round 19 (radius: 15)
[39:23:04 -486693.779933] SLOW spr round 20 (radius: 5)
[39:26:14 -486693.777264] SLOW spr round 21 (radius: 10)
[39:29:54 -486692.160466] SLOW spr round 22 (radius: 5)
[39:32:51 -486692.160190] SLOW spr round 23 (radius: 10)
[39:36:07 -486692.160152] SLOW spr round 24 (radius: 15)
[39:41:16 -486692.160129] SLOW spr round 25 (radius: 20)
[39:49:08 -486692.160109] SLOW spr round 26 (radius: 25)
[39:58:25 -486691.608274] SLOW spr round 27 (radius: 5)
[40:01:49 -486691.557592] SLOW spr round 28 (radius: 10)
[40:05:53 -486691.555441] SLOW spr round 29 (radius: 15)
[40:10:56 -486691.554825] SLOW spr round 30 (radius: 20)
[40:18:55 -486691.554643] SLOW spr round 31 (radius: 25)
[40:28:06 -486691.554580] Model parameter optimization (eps = 0.100000)

[40:28:12] ML tree search #19, logLikelihood: -486691.515766

[40:28:12 -1481202.360770] Initial branch length optimization
[40:28:19 -1171968.968980] Model parameter optimization (eps = 10.000000)
[40:29:10 -1165416.594575] AUTODETECT spr round 1 (radius: 5)
[40:31:35 -854966.243112] AUTODETECT spr round 2 (radius: 10)
[40:34:09 -680300.676692] AUTODETECT spr round 3 (radius: 15)
[40:36:57 -591650.352725] AUTODETECT spr round 4 (radius: 20)
[40:41:09 -548780.631230] AUTODETECT spr round 5 (radius: 25)
[40:45:27 -538369.594785] SPR radius for FAST iterations: 25 (autodetect)
[40:45:27 -538369.594785] Model parameter optimization (eps = 3.000000)
[40:46:19 -535407.546210] FAST spr round 1 (radius: 25)
[40:51:05 -486232.077375] FAST spr round 2 (radius: 25)
[40:54:23 -484647.479305] FAST spr round 3 (radius: 25)
[40:57:09 -484514.435647] FAST spr round 4 (radius: 25)
[40:59:26 -484504.648903] FAST spr round 5 (radius: 25)
[41:01:27 -484500.781578] FAST spr round 6 (radius: 25)
[41:03:20 -484500.780320] Model parameter optimization (eps = 1.000000)
[41:03:41 -484368.049815] SLOW spr round 1 (radius: 5)
[41:06:24 -484231.625944] SLOW spr round 2 (radius: 5)
[41:08:55 -484227.153406] SLOW spr round 3 (radius: 5)
[41:11:21 -484224.270173] SLOW spr round 4 (radius: 5)
[41:13:44 -484224.269343] SLOW spr round 5 (radius: 10)
[41:16:30 -484213.322683] SLOW spr round 6 (radius: 5)
[41:19:45 -484205.876270] SLOW spr round 7 (radius: 5)
[41:22:39 -484201.589799] SLOW spr round 8 (radius: 5)
[41:25:18 -484201.589535] SLOW spr round 9 (radius: 10)
[41:28:15 -484199.097855] SLOW spr round 10 (radius: 5)
[41:31:26 -484197.691273] SLOW spr round 11 (radius: 5)
[41:34:13 -484197.690832] SLOW spr round 12 (radius: 10)
[41:37:15 -484197.690712] SLOW spr round 13 (radius: 15)
[41:42:56 -484195.853959] SLOW spr round 14 (radius: 5)
[41:46:12 -484195.846869] SLOW spr round 15 (radius: 10)
[41:49:55 -484195.845643] SLOW spr round 16 (radius: 15)
[41:55:15 -484195.845354] SLOW spr round 17 (radius: 20)
[42:03:33 -484195.845214] SLOW spr round 18 (radius: 25)
[42:13:46 -484194.648791] SLOW spr round 19 (radius: 5)
[42:17:11 -484194.565550] SLOW spr round 20 (radius: 10)
[42:21:21 -484194.565185] SLOW spr round 21 (radius: 15)
[42:26:42 -484194.565022] SLOW spr round 22 (radius: 20)
[42:35:05 -484194.564948] SLOW spr round 23 (radius: 25)
[42:45:17 -484194.564914] Model parameter optimization (eps = 0.100000)

[42:45:24] ML tree search #20, logLikelihood: -484194.494844


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.093129,0.328527) (0.116131,0.370100) (0.439161,0.795093) (0.351579,1.641882) 
   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: -484194.494844

AIC score: 972158.989687 / AICc score: 8082378.989687 / BIC score: 981978.596071
Free parameters (model + branch lengths): 1885

WARNING: Number of free parameters (K=1885) is larger than alignment size (n=1352).
         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/Q8WWQ0/3_mltree/Q8WWQ0.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/3_mltree/Q8WWQ0.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/3_mltree/Q8WWQ0.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WWQ0/3_mltree/Q8WWQ0.raxml.log

Analysis started: 05-Jul-2021 08:16:51 / finished: 07-Jul-2021 03:02:16

Elapsed time: 153925.024 seconds

Consumed energy: 13472.204 Wh (= 67 km in an electric car, or 337 km with an e-scooter!)