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 04-Jul-2021 21:07:10 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/2_msa/Q9ULL4_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4 --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/Q9ULL4/2_msa/Q9ULL4_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 1706 sites

WARNING: Sequences tr_A0A2I3TT08_A0A2I3TT08_PANTR_9598 and tr_A0A2R9ACX3_A0A2R9ACX3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5QHF5_A0A1D5QHF5_MACMU_9544 and tr_A0A2K6BG71_A0A2K6BG71_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5RIA5_A0A1D5RIA5_MACMU_9544 and tr_A0A2I3NAL1_A0A2I3NAL1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5RIA5_A0A1D5RIA5_MACMU_9544 and tr_A0A0D9R710_A0A0D9R710_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5RIA5_A0A1D5RIA5_MACMU_9544 and tr_A0A2K5MNQ3_A0A2K5MNQ3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6RXZ3_F6RXZ3_MACMU_9544 and tr_G7NUP2_G7NUP2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6RXZ3_F6RXZ3_MACMU_9544 and tr_A0A2K5L461_A0A2K5L461_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6RXZ3_F6RXZ3_MACMU_9544 and tr_A0A2K6DFU9_A0A2K6DFU9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7BXM1_F7BXM1_MACMU_9544 and tr_A0A0D9RAR1_A0A0D9RAR1_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7BXM1_F7BXM1_MACMU_9544 and tr_A0A2K5N6V3_A0A2K5N6V3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0V0XKD4_A0A0V0XKD4_TRIPS_6337 and tr_A0A0V0XKF5_A0A0V0XKF5_TRIPS_6337 are exactly identical!
WARNING: Sequences tr_A0A2K5NIW0_A0A2K5NIW0_CERAT_9531 and tr_A0A2K6CNM7_A0A2K6CNM7_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/Q9ULL4/3_mltree/Q9ULL4.raxml.reduced.phy

Alignment comprises 1 partitions and 1706 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1706 / 1706
Gaps: 15.22 %
Invariant sites: 0.06 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.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 / 244 / 19520
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -2571533.461348] Initial branch length optimization
[00:00:10 -2133883.679553] Model parameter optimization (eps = 10.000000)
[00:01:34 -2130393.325750] AUTODETECT spr round 1 (radius: 5)
[00:05:16 -1299546.247622] AUTODETECT spr round 2 (radius: 10)
[00:09:14 -877973.480906] AUTODETECT spr round 3 (radius: 15)
[00:13:19 -697442.936048] AUTODETECT spr round 4 (radius: 20)
[00:17:42 -612879.413008] AUTODETECT spr round 5 (radius: 25)
[00:22:49 -585479.591447] SPR radius for FAST iterations: 25 (autodetect)
[00:22:49 -585479.591447] Model parameter optimization (eps = 3.000000)
[00:23:22 -585130.134480] FAST spr round 1 (radius: 25)
[00:27:23 -514495.614761] FAST spr round 2 (radius: 25)
[00:30:23 -511507.642147] FAST spr round 3 (radius: 25)
[00:33:02 -511378.883892] FAST spr round 4 (radius: 25)
[00:35:23 -511348.100408] FAST spr round 5 (radius: 25)
[00:37:36 -511345.849052] FAST spr round 6 (radius: 25)
[00:40:11 -511342.574929] FAST spr round 7 (radius: 25)
[00:42:22 -511342.520426] Model parameter optimization (eps = 1.000000)
[00:42:41 -511327.212150] SLOW spr round 1 (radius: 5)
[00:45:55 -511186.647744] SLOW spr round 2 (radius: 5)
[00:48:59 -511175.279867] SLOW spr round 3 (radius: 5)
[00:51:52 -511175.279492] SLOW spr round 4 (radius: 10)
[00:54:52 -511172.588600] SLOW spr round 5 (radius: 5)
[00:58:43 -511172.588080] SLOW spr round 6 (radius: 10)
[01:02:09 -511172.588007] SLOW spr round 7 (radius: 15)
[01:06:47 -511172.587942] SLOW spr round 8 (radius: 20)
[01:15:30 -511172.587876] SLOW spr round 9 (radius: 25)
[01:27:38 -511172.587811] Model parameter optimization (eps = 0.100000)

[01:27:49] ML tree search #1, logLikelihood: -511172.372978

[01:27:50 -2555521.960764] Initial branch length optimization
[01:27:59 -2113651.273331] Model parameter optimization (eps = 10.000000)
[01:28:55 -2110237.368840] AUTODETECT spr round 1 (radius: 5)
[01:32:30 -1334389.381963] AUTODETECT spr round 2 (radius: 10)
[01:36:30 -886302.236560] AUTODETECT spr round 3 (radius: 15)
[01:40:37 -736357.328246] AUTODETECT spr round 4 (radius: 20)
[01:45:41 -669261.366001] AUTODETECT spr round 5 (radius: 25)
[01:51:58 -619616.252713] SPR radius for FAST iterations: 25 (autodetect)
[01:51:58 -619616.252713] Model parameter optimization (eps = 3.000000)
[01:52:30 -619202.131932] FAST spr round 1 (radius: 25)
[01:56:22 -514682.858757] FAST spr round 2 (radius: 25)
[01:59:17 -511462.955627] FAST spr round 3 (radius: 25)
[02:01:52 -511326.555521] FAST spr round 4 (radius: 25)
[02:04:10 -511321.824834] FAST spr round 5 (radius: 25)
[02:06:23 -511303.588624] FAST spr round 6 (radius: 25)
[02:08:33 -511303.588176] Model parameter optimization (eps = 1.000000)
[02:08:52 -511277.089500] SLOW spr round 1 (radius: 5)
[02:12:00 -511174.356952] SLOW spr round 2 (radius: 5)
[02:15:05 -511166.513431] SLOW spr round 3 (radius: 5)
[02:18:04 -511164.876197] SLOW spr round 4 (radius: 5)
[02:20:58 -511164.876141] SLOW spr round 5 (radius: 10)
[02:23:59 -511163.119777] SLOW spr round 6 (radius: 5)
[02:27:49 -511163.119692] SLOW spr round 7 (radius: 10)
[02:31:16 -511163.119653] SLOW spr round 8 (radius: 15)
[02:35:53 -511163.119616] SLOW spr round 9 (radius: 20)
[02:44:35 -511163.119579] SLOW spr round 10 (radius: 25)
[02:56:19 -511163.119543] Model parameter optimization (eps = 0.100000)

[02:56:26] ML tree search #2, logLikelihood: -511163.048118

[02:56:26 -2549682.797536] Initial branch length optimization
[02:56:36 -2120281.224829] Model parameter optimization (eps = 10.000000)
[02:57:31 -2116670.271808] AUTODETECT spr round 1 (radius: 5)
[03:01:07 -1324812.354087] AUTODETECT spr round 2 (radius: 10)
[03:05:08 -925202.349247] AUTODETECT spr round 3 (radius: 15)
[03:09:23 -737806.137487] AUTODETECT spr round 4 (radius: 20)
[03:13:44 -624445.846461] AUTODETECT spr round 5 (radius: 25)
[03:18:42 -594503.886027] SPR radius for FAST iterations: 25 (autodetect)
[03:18:42 -594503.886027] Model parameter optimization (eps = 3.000000)
[03:19:19 -594190.800848] FAST spr round 1 (radius: 25)
[03:23:26 -516063.102403] FAST spr round 2 (radius: 25)
[03:26:31 -511566.035724] FAST spr round 3 (radius: 25)
[03:29:14 -511337.114002] FAST spr round 4 (radius: 25)
[03:31:39 -511318.372219] FAST spr round 5 (radius: 25)
[03:33:50 -511318.372091] Model parameter optimization (eps = 1.000000)
[03:34:09 -511302.647117] SLOW spr round 1 (radius: 5)
[03:37:20 -511176.750757] SLOW spr round 2 (radius: 5)
[03:40:26 -511171.338152] SLOW spr round 3 (radius: 5)
[03:43:24 -511171.336161] SLOW spr round 4 (radius: 10)
[03:46:30 -511164.902119] SLOW spr round 5 (radius: 5)
[03:50:25 -511164.749608] SLOW spr round 6 (radius: 5)
[03:53:49 -511164.747956] SLOW spr round 7 (radius: 10)
[03:57:01 -511164.747850] SLOW spr round 8 (radius: 15)
[04:01:52 -511163.508461] SLOW spr round 9 (radius: 5)
[04:06:04 -511160.122988] SLOW spr round 10 (radius: 5)
[04:09:37 -511160.122464] SLOW spr round 11 (radius: 10)
[04:12:53 -511160.122410] SLOW spr round 12 (radius: 15)
[04:17:37 -511160.122358] SLOW spr round 13 (radius: 20)
[04:26:18 -511160.122305] SLOW spr round 14 (radius: 25)
[04:38:24 -511160.122252] Model parameter optimization (eps = 0.100000)

[04:38:37] ML tree search #3, logLikelihood: -511159.958775

[04:38:37 -2580465.901183] Initial branch length optimization
[04:38:45 -2138977.387996] Model parameter optimization (eps = 10.000000)
[04:39:38 -2135574.359309] AUTODETECT spr round 1 (radius: 5)
[04:43:14 -1362368.678889] AUTODETECT spr round 2 (radius: 10)
[04:47:17 -887332.067639] AUTODETECT spr round 3 (radius: 15)
[04:51:24 -728958.382151] AUTODETECT spr round 4 (radius: 20)
[04:56:00 -635432.814937] AUTODETECT spr round 5 (radius: 25)
[05:00:59 -604854.488529] SPR radius for FAST iterations: 25 (autodetect)
[05:00:59 -604854.488529] Model parameter optimization (eps = 3.000000)
[05:01:46 -604343.546604] FAST spr round 1 (radius: 25)
[05:05:50 -515675.205550] FAST spr round 2 (radius: 25)
[05:08:55 -511635.497896] FAST spr round 3 (radius: 25)
[05:11:34 -511362.439949] FAST spr round 4 (radius: 25)
[05:14:01 -511334.168179] FAST spr round 5 (radius: 25)
[05:16:18 -511334.167609] Model parameter optimization (eps = 1.000000)
[05:16:40 -511290.802653] SLOW spr round 1 (radius: 5)
[05:19:49 -511170.851043] SLOW spr round 2 (radius: 5)
[05:22:51 -511168.600181] SLOW spr round 3 (radius: 5)
[05:25:45 -511168.599311] SLOW spr round 4 (radius: 10)
[05:28:44 -511166.460812] SLOW spr round 5 (radius: 5)
[05:32:29 -511166.460727] SLOW spr round 6 (radius: 10)
[05:35:50 -511166.460653] SLOW spr round 7 (radius: 15)
[05:40:24 -511166.460584] SLOW spr round 8 (radius: 20)
[05:48:57 -511166.460518] SLOW spr round 9 (radius: 25)
[06:00:35 -511166.460454] Model parameter optimization (eps = 0.100000)

[06:00:47] ML tree search #4, logLikelihood: -511166.375510

[06:00:47 -2573503.617762] Initial branch length optimization
[06:00:56 -2135352.292105] Model parameter optimization (eps = 10.000000)
[06:01:57 -2131740.297249] AUTODETECT spr round 1 (radius: 5)
[06:05:25 -1370391.443096] AUTODETECT spr round 2 (radius: 10)
[06:09:15 -946501.644976] AUTODETECT spr round 3 (radius: 15)
[06:13:41 -712039.537836] AUTODETECT spr round 4 (radius: 20)
[06:18:24 -614916.527782] AUTODETECT spr round 5 (radius: 25)
[06:23:45 -591187.566276] SPR radius for FAST iterations: 25 (autodetect)
[06:23:45 -591187.566276] Model parameter optimization (eps = 3.000000)
[06:24:16 -590822.119640] FAST spr round 1 (radius: 25)
[06:27:51 -514303.034279] FAST spr round 2 (radius: 25)
[06:30:33 -511578.070077] FAST spr round 3 (radius: 25)
[06:33:03 -511348.927437] FAST spr round 4 (radius: 25)
[06:35:18 -511344.300272] FAST spr round 5 (radius: 25)
[06:37:27 -511344.298478] Model parameter optimization (eps = 1.000000)
[06:37:47 -511322.081778] SLOW spr round 1 (radius: 5)
[06:41:01 -511174.422352] SLOW spr round 2 (radius: 5)
[06:44:02 -511168.079347] SLOW spr round 3 (radius: 5)
[06:46:58 -511167.352326] SLOW spr round 4 (radius: 5)
[06:49:50 -511167.352189] SLOW spr round 5 (radius: 10)
[06:52:50 -511165.648017] SLOW spr round 6 (radius: 5)
[06:56:37 -511165.647816] SLOW spr round 7 (radius: 10)
[07:00:01 -511164.342193] SLOW spr round 8 (radius: 5)
[07:03:45 -511161.962832] SLOW spr round 9 (radius: 5)
[07:06:59 -511161.962831] SLOW spr round 10 (radius: 10)
[07:10:06 -511161.962830] SLOW spr round 11 (radius: 15)
[07:14:48 -511161.962828] SLOW spr round 12 (radius: 20)
[07:23:15 -511161.962827] SLOW spr round 13 (radius: 25)
[07:34:57 -511161.962826] Model parameter optimization (eps = 0.100000)

[07:35:12] ML tree search #5, logLikelihood: -511161.676384

[07:35:12 -2586086.359325] Initial branch length optimization
[07:35:24 -2139464.219546] Model parameter optimization (eps = 10.000000)
[07:36:17 -2136056.952045] AUTODETECT spr round 1 (radius: 5)
[07:39:49 -1350698.181806] AUTODETECT spr round 2 (radius: 10)
[07:43:44 -912378.452092] AUTODETECT spr round 3 (radius: 15)
[07:48:07 -727511.796956] AUTODETECT spr round 4 (radius: 20)
[07:52:40 -617658.628483] AUTODETECT spr round 5 (radius: 25)
[07:57:33 -599323.088299] SPR radius for FAST iterations: 25 (autodetect)
[07:57:33 -599323.088299] Model parameter optimization (eps = 3.000000)
[07:58:11 -598987.237692] FAST spr round 1 (radius: 25)
[08:01:58 -517686.471714] FAST spr round 2 (radius: 25)
[08:05:11 -511899.693817] FAST spr round 3 (radius: 25)
[08:07:54 -511365.320433] FAST spr round 4 (radius: 25)
[08:10:25 -511327.674364] FAST spr round 5 (radius: 25)
[08:12:44 -511301.041472] FAST spr round 6 (radius: 25)
[08:14:57 -511282.582824] FAST spr round 7 (radius: 25)
[08:17:04 -511282.582391] Model parameter optimization (eps = 1.000000)
[08:17:23 -511259.038045] SLOW spr round 1 (radius: 5)
[08:20:34 -511170.261453] SLOW spr round 2 (radius: 5)
[08:23:36 -511167.706593] SLOW spr round 3 (radius: 5)
[08:26:30 -511167.705091] SLOW spr round 4 (radius: 10)
[08:29:28 -511167.704921] SLOW spr round 5 (radius: 15)
[08:34:23 -511167.704853] SLOW spr round 6 (radius: 20)
[08:42:44 -511167.704806] SLOW spr round 7 (radius: 25)
[08:54:33 -511167.704767] Model parameter optimization (eps = 0.100000)

[08:54:38] ML tree search #6, logLikelihood: -511167.636992

[08:54:39 -2570834.045588] Initial branch length optimization
[08:54:47 -2126831.424854] Model parameter optimization (eps = 10.000000)
[08:55:48 -2123422.928047] AUTODETECT spr round 1 (radius: 5)
[08:59:16 -1321074.970990] AUTODETECT spr round 2 (radius: 10)
[09:03:18 -916450.273645] AUTODETECT spr round 3 (radius: 15)
[09:07:27 -686467.181730] AUTODETECT spr round 4 (radius: 20)
[09:11:38 -610713.698120] AUTODETECT spr round 5 (radius: 25)
[09:16:53 -590342.611769] SPR radius for FAST iterations: 25 (autodetect)
[09:16:53 -590342.611769] Model parameter optimization (eps = 3.000000)
[09:17:23 -589924.153607] FAST spr round 1 (radius: 25)
[09:21:26 -514743.074590] FAST spr round 2 (radius: 25)
[09:24:28 -511498.412282] FAST spr round 3 (radius: 25)
[09:27:11 -511338.814178] FAST spr round 4 (radius: 25)
[09:29:26 -511336.801876] FAST spr round 5 (radius: 25)
[09:31:35 -511336.798541] Model parameter optimization (eps = 1.000000)
[09:31:55 -511301.525465] SLOW spr round 1 (radius: 5)
[09:35:09 -511185.829063] SLOW spr round 2 (radius: 5)
[09:38:13 -511175.364575] SLOW spr round 3 (radius: 5)
[09:41:07 -511175.363922] SLOW spr round 4 (radius: 10)
[09:44:08 -511173.559822] SLOW spr round 5 (radius: 5)
[09:47:58 -511170.190706] SLOW spr round 6 (radius: 5)
[09:51:18 -511170.190616] SLOW spr round 7 (radius: 10)
[09:54:21 -511170.190546] SLOW spr round 8 (radius: 15)
[09:59:00 -511170.190479] SLOW spr round 9 (radius: 20)
[10:07:28 -511170.190412] SLOW spr round 10 (radius: 25)
[10:19:16 -511170.190346] Model parameter optimization (eps = 0.100000)

[10:19:26] ML tree search #7, logLikelihood: -511170.058812

[10:19:26 -2564126.293646] Initial branch length optimization
[10:19:36 -2119025.863719] Model parameter optimization (eps = 10.000000)
[10:20:34 -2115706.955878] AUTODETECT spr round 1 (radius: 5)
[10:24:05 -1347920.290419] AUTODETECT spr round 2 (radius: 10)
[10:27:57 -956669.044551] AUTODETECT spr round 3 (radius: 15)
[10:31:58 -765867.742710] AUTODETECT spr round 4 (radius: 20)
[10:36:17 -637257.875945] AUTODETECT spr round 5 (radius: 25)
[10:40:40 -604786.777258] SPR radius for FAST iterations: 25 (autodetect)
[10:40:40 -604786.777258] Model parameter optimization (eps = 3.000000)
[10:41:14 -604399.606658] FAST spr round 1 (radius: 25)
[10:45:12 -521529.726651] FAST spr round 2 (radius: 25)
[10:48:15 -512656.234452] FAST spr round 3 (radius: 25)
[10:50:55 -511378.440674] FAST spr round 4 (radius: 25)
[10:53:17 -511313.559026] FAST spr round 5 (radius: 25)
[10:55:27 -511312.357029] FAST spr round 6 (radius: 25)
[10:57:33 -511312.355841] Model parameter optimization (eps = 1.000000)
[10:57:55 -511285.664937] SLOW spr round 1 (radius: 5)
[11:01:02 -511166.435714] SLOW spr round 2 (radius: 5)
[11:04:03 -511163.779260] SLOW spr round 3 (radius: 5)
[11:06:55 -511163.777769] SLOW spr round 4 (radius: 10)
[11:09:54 -511161.552793] SLOW spr round 5 (radius: 5)
[11:13:44 -511161.550993] SLOW spr round 6 (radius: 10)
[11:17:07 -511161.550881] SLOW spr round 7 (radius: 15)
[11:21:43 -511161.550771] SLOW spr round 8 (radius: 20)
[11:30:19 -511161.550661] SLOW spr round 9 (radius: 25)
[11:41:59 -511161.550552] Model parameter optimization (eps = 0.100000)

[11:42:11] ML tree search #8, logLikelihood: -511161.424305

[11:42:11 -2574170.461634] Initial branch length optimization
[11:42:21 -2127294.425165] Model parameter optimization (eps = 10.000000)
[11:43:47 -2124031.039843] AUTODETECT spr round 1 (radius: 5)
[11:47:13 -1370403.987950] AUTODETECT spr round 2 (radius: 10)
[11:51:04 -905880.045353] AUTODETECT spr round 3 (radius: 15)
[11:55:00 -759290.040903] AUTODETECT spr round 4 (radius: 20)
[11:59:20 -669384.203984] AUTODETECT spr round 5 (radius: 25)
[12:05:00 -616675.659572] SPR radius for FAST iterations: 25 (autodetect)
[12:05:00 -616675.659572] Model parameter optimization (eps = 3.000000)
[12:05:33 -616267.706902] FAST spr round 1 (radius: 25)
[12:09:45 -518334.088788] FAST spr round 2 (radius: 25)
[12:12:50 -511695.447848] FAST spr round 3 (radius: 25)
[12:15:29 -511344.701155] FAST spr round 4 (radius: 25)
[12:17:50 -511326.175345] FAST spr round 5 (radius: 25)
[12:20:00 -511326.016797] FAST spr round 6 (radius: 25)
[12:22:08 -511326.016138] Model parameter optimization (eps = 1.000000)
[12:22:31 -511303.430173] SLOW spr round 1 (radius: 5)
[12:25:35 -511196.158103] SLOW spr round 2 (radius: 5)
[12:28:38 -511185.985229] SLOW spr round 3 (radius: 5)
[12:31:32 -511185.984107] SLOW spr round 4 (radius: 10)
[12:34:38 -511180.032000] SLOW spr round 5 (radius: 5)
[12:38:32 -511171.811500] SLOW spr round 6 (radius: 5)
[12:41:53 -511171.782428] SLOW spr round 7 (radius: 10)
[12:45:03 -511171.290135] SLOW spr round 8 (radius: 5)
[12:48:49 -511171.289189] SLOW spr round 9 (radius: 10)
[12:52:09 -511171.289154] SLOW spr round 10 (radius: 15)
[12:56:44 -511171.289125] SLOW spr round 11 (radius: 20)
[13:05:20 -511171.289095] SLOW spr round 12 (radius: 25)
[13:17:12 -511171.289066] Model parameter optimization (eps = 0.100000)

[13:17:18] ML tree search #9, logLikelihood: -511171.261638

[13:17:18 -2556224.642742] Initial branch length optimization
[13:17:32 -2118980.940037] Model parameter optimization (eps = 10.000000)
[13:18:34 -2115510.503514] AUTODETECT spr round 1 (radius: 5)
[13:22:06 -1344552.103934] AUTODETECT spr round 2 (radius: 10)
[13:26:01 -930045.017456] AUTODETECT spr round 3 (radius: 15)
[13:30:10 -735382.414780] AUTODETECT spr round 4 (radius: 20)
[13:34:28 -655466.764866] AUTODETECT spr round 5 (radius: 25)
[13:38:47 -612506.068790] SPR radius for FAST iterations: 25 (autodetect)
[13:38:47 -612506.068790] Model parameter optimization (eps = 3.000000)
[13:39:17 -612139.184266] FAST spr round 1 (radius: 25)
[13:43:13 -516384.592060] FAST spr round 2 (radius: 25)
[13:46:16 -511701.194949] FAST spr round 3 (radius: 25)
[13:49:00 -511322.891145] FAST spr round 4 (radius: 25)
[13:51:27 -511299.526461] FAST spr round 5 (radius: 25)
[13:53:39 -511299.521217] Model parameter optimization (eps = 1.000000)
[13:53:58 -511275.296645] SLOW spr round 1 (radius: 5)
[13:57:11 -511174.602636] SLOW spr round 2 (radius: 5)
[14:00:13 -511167.316781] SLOW spr round 3 (radius: 5)
[14:03:05 -511167.314959] SLOW spr round 4 (radius: 10)
[14:06:04 -511165.610783] SLOW spr round 5 (radius: 5)
[14:09:52 -511165.610129] SLOW spr round 6 (radius: 10)
[14:13:15 -511165.609704] SLOW spr round 7 (radius: 15)
[14:17:47 -511165.609346] SLOW spr round 8 (radius: 20)
[14:26:23 -511165.609038] SLOW spr round 9 (radius: 25)
[14:38:06 -511165.608768] Model parameter optimization (eps = 0.100000)

[14:38:20] ML tree search #10, logLikelihood: -511165.417179

[14:38:20 -2557429.573734] Initial branch length optimization
[14:38:29 -2115396.294766] Model parameter optimization (eps = 10.000000)
[14:39:26 -2112162.936301] AUTODETECT spr round 1 (radius: 5)
[14:42:53 -1334570.990509] AUTODETECT spr round 2 (radius: 10)
[14:46:48 -913247.699014] AUTODETECT spr round 3 (radius: 15)
[14:51:06 -738703.800009] AUTODETECT spr round 4 (radius: 20)
[14:56:11 -641412.635727] AUTODETECT spr round 5 (radius: 25)
[15:01:37 -606652.177728] SPR radius for FAST iterations: 25 (autodetect)
[15:01:37 -606652.177728] Model parameter optimization (eps = 3.000000)
[15:02:11 -606307.768271] FAST spr round 1 (radius: 25)
[15:06:10 -517045.005705] FAST spr round 2 (radius: 25)
[15:09:17 -511882.361406] FAST spr round 3 (radius: 25)
[15:11:55 -511601.831291] FAST spr round 4 (radius: 25)
[15:14:22 -511458.634475] FAST spr round 5 (radius: 25)
[15:16:39 -511399.846631] FAST spr round 6 (radius: 25)
[15:18:44 -511399.846402] Model parameter optimization (eps = 1.000000)
[15:19:03 -511374.178930] SLOW spr round 1 (radius: 5)
[15:22:10 -511194.830307] SLOW spr round 2 (radius: 5)
[15:25:09 -511178.341174] SLOW spr round 3 (radius: 5)
[15:27:59 -511178.340728] SLOW spr round 4 (radius: 10)
[15:30:54 -511176.301874] SLOW spr round 5 (radius: 5)
[15:34:54 -511168.409127] SLOW spr round 6 (radius: 5)
[15:38:17 -511166.372049] SLOW spr round 7 (radius: 5)
[15:41:22 -511166.371976] SLOW spr round 8 (radius: 10)
[15:44:23 -511166.371917] SLOW spr round 9 (radius: 15)
[15:49:10 -511166.371858] SLOW spr round 10 (radius: 20)
[15:57:34 -511166.371799] SLOW spr round 11 (radius: 25)
[16:09:25 -511166.371740] Model parameter optimization (eps = 0.100000)

[16:09:32] ML tree search #11, logLikelihood: -511166.313400

[16:09:32 -2565048.895046] Initial branch length optimization
[16:09:42 -2136113.182833] Model parameter optimization (eps = 10.000000)
[16:10:43 -2132576.671370] AUTODETECT spr round 1 (radius: 5)
[16:14:10 -1370743.841973] AUTODETECT spr round 2 (radius: 10)
[16:18:00 -909199.676230] AUTODETECT spr round 3 (radius: 15)
[16:21:54 -731445.445635] AUTODETECT spr round 4 (radius: 20)
[16:26:38 -608104.365895] AUTODETECT spr round 5 (radius: 25)
[16:32:45 -595774.402704] SPR radius for FAST iterations: 25 (autodetect)
[16:32:45 -595774.402704] Model parameter optimization (eps = 3.000000)
[16:33:22 -595410.711775] FAST spr round 1 (radius: 25)
[16:37:23 -516193.240714] FAST spr round 2 (radius: 25)
[16:40:36 -511443.032717] FAST spr round 3 (radius: 25)
[16:43:23 -511262.312626] FAST spr round 4 (radius: 25)
[16:45:41 -511255.421460] FAST spr round 5 (radius: 25)
[16:47:52 -511255.420887] Model parameter optimization (eps = 1.000000)
[16:48:16 -511222.506799] SLOW spr round 1 (radius: 5)
[16:51:26 -511155.281794] SLOW spr round 2 (radius: 5)
[16:54:28 -511151.226698] SLOW spr round 3 (radius: 5)
[16:57:23 -511151.225358] SLOW spr round 4 (radius: 10)
[17:00:20 -511151.224867] SLOW spr round 5 (radius: 15)
[17:05:14 -511151.224655] SLOW spr round 6 (radius: 20)
[17:13:31 -511151.224550] SLOW spr round 7 (radius: 25)
[17:25:09 -511151.224487] Model parameter optimization (eps = 0.100000)

[17:25:18] ML tree search #12, logLikelihood: -511151.165732

[17:25:18 -2564398.304852] Initial branch length optimization
[17:25:27 -2131296.549224] Model parameter optimization (eps = 10.000000)
[17:26:25 -2127775.329645] AUTODETECT spr round 1 (radius: 5)
[17:29:55 -1369637.759817] AUTODETECT spr round 2 (radius: 10)
[17:33:50 -966018.731134] AUTODETECT spr round 3 (radius: 15)
[17:38:09 -770551.915387] AUTODETECT spr round 4 (radius: 20)
[17:43:40 -653980.048771] AUTODETECT spr round 5 (radius: 25)
[17:48:41 -612812.727857] SPR radius for FAST iterations: 25 (autodetect)
[17:48:41 -612812.727857] Model parameter optimization (eps = 3.000000)
[17:49:13 -612462.557529] FAST spr round 1 (radius: 25)
[17:53:13 -515545.537806] FAST spr round 2 (radius: 25)
[17:56:11 -511628.262613] FAST spr round 3 (radius: 25)
[17:58:48 -511350.398516] FAST spr round 4 (radius: 25)
[18:01:11 -511300.192145] FAST spr round 5 (radius: 25)
[18:03:27 -511299.985453] FAST spr round 6 (radius: 25)
[18:05:40 -511299.981925] Model parameter optimization (eps = 1.000000)
[18:06:00 -511274.071908] SLOW spr round 1 (radius: 5)
[18:09:09 -511177.090009] SLOW spr round 2 (radius: 5)
[18:12:45 -511165.600738] SLOW spr round 3 (radius: 5)
[18:15:42 -511165.599380] SLOW spr round 4 (radius: 10)
[18:18:48 -511163.921572] SLOW spr round 5 (radius: 5)
[18:22:39 -511163.921526] SLOW spr round 6 (radius: 10)
[18:26:07 -511163.027160] SLOW spr round 7 (radius: 5)
[18:29:53 -511160.709371] SLOW spr round 8 (radius: 5)
[18:33:13 -511160.706223] SLOW spr round 9 (radius: 10)
[18:36:23 -511160.704904] SLOW spr round 10 (radius: 15)
[18:41:10 -511160.704863] SLOW spr round 11 (radius: 20)
[18:49:42 -511160.704836] SLOW spr round 12 (radius: 25)
[19:01:32 -511160.704809] Model parameter optimization (eps = 0.100000)

[19:01:45] ML tree search #13, logLikelihood: -511160.424732

[19:01:45 -2564401.524211] Initial branch length optimization
[19:01:55 -2123613.783347] Model parameter optimization (eps = 10.000000)
[19:02:56 -2120129.596950] AUTODETECT spr round 1 (radius: 5)
[19:06:27 -1333637.485233] AUTODETECT spr round 2 (radius: 10)
[19:10:30 -886545.007663] AUTODETECT spr round 3 (radius: 15)
[19:14:32 -737883.757917] AUTODETECT spr round 4 (radius: 20)
[19:19:08 -624062.734815] AUTODETECT spr round 5 (radius: 25)
[19:23:49 -604475.292145] SPR radius for FAST iterations: 25 (autodetect)
[19:23:49 -604475.292145] Model parameter optimization (eps = 3.000000)
[19:24:26 -604115.287971] FAST spr round 1 (radius: 25)
[19:28:21 -515698.150747] FAST spr round 2 (radius: 25)
[19:31:26 -511663.418309] FAST spr round 3 (radius: 25)
[19:34:01 -511344.743477] FAST spr round 4 (radius: 25)
[19:36:22 -511329.919008] FAST spr round 5 (radius: 25)
[19:38:34 -511329.918821] Model parameter optimization (eps = 1.000000)
[19:38:55 -511298.244380] SLOW spr round 1 (radius: 5)
[19:42:04 -511185.813176] SLOW spr round 2 (radius: 5)
[19:45:11 -511166.861470] SLOW spr round 3 (radius: 5)
[19:48:08 -511166.844340] SLOW spr round 4 (radius: 10)
[19:51:08 -511164.799950] SLOW spr round 5 (radius: 5)
[19:55:07 -511156.902304] SLOW spr round 6 (radius: 5)
[19:58:31 -511154.869365] SLOW spr round 7 (radius: 5)
[20:01:39 -511154.868461] SLOW spr round 8 (radius: 10)
[20:04:43 -511153.167021] SLOW spr round 9 (radius: 5)
[20:08:31 -511153.166809] SLOW spr round 10 (radius: 10)
[20:11:52 -511153.166744] SLOW spr round 11 (radius: 15)
[20:16:27 -511153.166680] SLOW spr round 12 (radius: 20)
[20:25:05 -511153.166615] SLOW spr round 13 (radius: 25)
[20:36:44 -511153.166550] Model parameter optimization (eps = 0.100000)

[20:36:51] ML tree search #14, logLikelihood: -511153.115964

[20:36:51 -2550837.602089] Initial branch length optimization
[20:37:07 -2114946.035433] Model parameter optimization (eps = 10.000000)
[20:38:06 -2111584.877278] AUTODETECT spr round 1 (radius: 5)
[20:41:41 -1356589.364023] AUTODETECT spr round 2 (radius: 10)
[20:45:39 -905524.410237] AUTODETECT spr round 3 (radius: 15)
[20:49:39 -707352.506362] AUTODETECT spr round 4 (radius: 20)
[20:54:24 -607551.433285] AUTODETECT spr round 5 (radius: 25)
[20:59:36 -594903.806275] SPR radius for FAST iterations: 25 (autodetect)
[20:59:36 -594903.806275] Model parameter optimization (eps = 3.000000)
[21:00:18 -594494.387066] FAST spr round 1 (radius: 25)
[21:03:50 -513778.068594] FAST spr round 2 (radius: 25)
[21:06:40 -511647.261040] FAST spr round 3 (radius: 25)
[21:09:28 -511450.130608] FAST spr round 4 (radius: 25)
[21:11:56 -511355.881352] FAST spr round 5 (radius: 25)
[21:14:15 -511355.881047] Model parameter optimization (eps = 1.000000)
[21:14:41 -511327.631067] SLOW spr round 1 (radius: 5)
[21:18:06 -511185.624286] SLOW spr round 2 (radius: 5)
[21:21:23 -511170.588170] SLOW spr round 3 (radius: 5)
[21:24:30 -511170.572043] SLOW spr round 4 (radius: 10)
[21:27:41 -511170.421042] SLOW spr round 5 (radius: 5)
[21:31:56 -511161.056100] SLOW spr round 6 (radius: 5)
[21:35:34 -511161.055220] SLOW spr round 7 (radius: 10)
[21:38:56 -511161.055148] SLOW spr round 8 (radius: 15)
[21:44:04 -511161.055079] SLOW spr round 9 (radius: 20)
[21:54:51 -511161.055023] SLOW spr round 10 (radius: 25)
[22:07:30 -511161.054989] Model parameter optimization (eps = 0.100000)

[22:07:43] ML tree search #15, logLikelihood: -511160.831261

[22:07:43 -2586680.071533] Initial branch length optimization
[22:07:54 -2133449.836268] Model parameter optimization (eps = 10.000000)
[22:09:15 -2130070.731970] AUTODETECT spr round 1 (radius: 5)
[22:13:01 -1346776.885706] AUTODETECT spr round 2 (radius: 10)
[22:17:17 -901951.583357] AUTODETECT spr round 3 (radius: 15)
[22:21:48 -726856.884725] AUTODETECT spr round 4 (radius: 20)
[22:26:21 -618803.306469] AUTODETECT spr round 5 (radius: 25)
[22:31:52 -595065.625838] SPR radius for FAST iterations: 25 (autodetect)
[22:31:52 -595065.625838] Model parameter optimization (eps = 3.000000)
[22:32:26 -594658.883384] FAST spr round 1 (radius: 25)
[22:36:41 -514025.028882] FAST spr round 2 (radius: 25)
[22:39:49 -511680.046494] FAST spr round 3 (radius: 25)
[22:42:36 -511451.211240] FAST spr round 4 (radius: 25)
[22:45:09 -511381.499217] FAST spr round 5 (radius: 25)
[22:47:29 -511381.499137] Model parameter optimization (eps = 1.000000)
[22:47:51 -511353.759960] SLOW spr round 1 (radius: 5)
[22:51:17 -511180.446692] SLOW spr round 2 (radius: 5)
[22:54:35 -511173.551667] SLOW spr round 3 (radius: 5)
[22:57:45 -511170.358585] SLOW spr round 4 (radius: 5)
[23:00:52 -511170.358065] SLOW spr round 5 (radius: 10)
[23:04:08 -511168.653712] SLOW spr round 6 (radius: 5)
[23:08:06 -511168.653512] SLOW spr round 7 (radius: 10)
[23:11:37 -511168.123219] SLOW spr round 8 (radius: 5)
[23:15:27 -511168.117979] SLOW spr round 9 (radius: 10)
[23:18:51 -511168.115277] SLOW spr round 10 (radius: 15)
[23:23:36 -511166.603628] SLOW spr round 11 (radius: 5)
[23:27:53 -511163.221938] SLOW spr round 12 (radius: 5)
[23:31:31 -511161.220137] SLOW spr round 13 (radius: 5)
[23:34:47 -511161.219661] SLOW spr round 14 (radius: 10)
[23:37:55 -511161.219589] SLOW spr round 15 (radius: 15)
[23:42:47 -511161.219518] SLOW spr round 16 (radius: 20)
[23:51:17 -511161.219447] SLOW spr round 17 (radius: 25)
[24:03:07 -511161.219375] Model parameter optimization (eps = 0.100000)

[24:03:20] ML tree search #16, logLikelihood: -511160.867709

[24:03:20 -2575470.315784] Initial branch length optimization
[24:03:31 -2135600.729990] Model parameter optimization (eps = 10.000000)
[24:04:35 -2132112.235404] AUTODETECT spr round 1 (radius: 5)
[24:08:08 -1368110.179508] AUTODETECT spr round 2 (radius: 10)
[24:12:07 -932380.755798] AUTODETECT spr round 3 (radius: 15)
[24:16:30 -720218.454893] AUTODETECT spr round 4 (radius: 20)
[24:21:19 -640430.113171] AUTODETECT spr round 5 (radius: 25)
[24:27:09 -611328.288075] SPR radius for FAST iterations: 25 (autodetect)
[24:27:09 -611328.288075] Model parameter optimization (eps = 3.000000)
[24:27:40 -610979.512076] FAST spr round 1 (radius: 25)
[24:31:30 -515660.381588] FAST spr round 2 (radius: 25)
[24:34:20 -511631.894405] FAST spr round 3 (radius: 25)
[24:36:52 -511303.151939] FAST spr round 4 (radius: 25)
[24:39:14 -511295.389670] FAST spr round 5 (radius: 25)
[24:41:26 -511295.389593] Model parameter optimization (eps = 1.000000)
[24:41:45 -511277.392222] SLOW spr round 1 (radius: 5)
[24:44:52 -511187.409254] SLOW spr round 2 (radius: 5)
[24:47:56 -511177.315785] SLOW spr round 3 (radius: 5)
[24:50:51 -511177.314243] SLOW spr round 4 (radius: 10)
[24:53:50 -511173.444227] SLOW spr round 5 (radius: 5)
[24:57:46 -511165.543479] SLOW spr round 6 (radius: 5)
[25:01:10 -511163.510595] SLOW spr round 7 (radius: 5)
[25:04:17 -511163.510535] SLOW spr round 8 (radius: 10)
[25:07:20 -511162.367684] SLOW spr round 9 (radius: 5)
[25:11:09 -511162.367603] SLOW spr round 10 (radius: 10)
[25:14:33 -511162.367543] SLOW spr round 11 (radius: 15)
[25:19:10 -511162.367484] SLOW spr round 12 (radius: 20)
[25:27:52 -511162.367424] SLOW spr round 13 (radius: 25)
[25:38:53 -511162.367365] Model parameter optimization (eps = 0.100000)

[25:39:02] ML tree search #17, logLikelihood: -511162.255588

[25:39:02 -2589337.949221] Initial branch length optimization
[25:39:11 -2135677.907397] Model parameter optimization (eps = 10.000000)
[25:40:07 -2132295.486365] AUTODETECT spr round 1 (radius: 5)
[25:43:23 -1360946.388448] AUTODETECT spr round 2 (radius: 10)
[25:47:03 -932821.285884] AUTODETECT spr round 3 (radius: 15)
[25:50:45 -794920.717876] AUTODETECT spr round 4 (radius: 20)
[25:55:14 -662465.418353] AUTODETECT spr round 5 (radius: 25)
[25:59:59 -625214.299256] SPR radius for FAST iterations: 25 (autodetect)
[25:59:59 -625214.299256] Model parameter optimization (eps = 3.000000)
[26:00:24 -624792.898557] FAST spr round 1 (radius: 25)
[26:04:09 -516497.878673] FAST spr round 2 (radius: 25)
[26:06:54 -511482.541761] FAST spr round 3 (radius: 25)
[26:09:15 -511290.334298] FAST spr round 4 (radius: 25)
[26:11:23 -511286.591896] FAST spr round 5 (radius: 25)
[26:13:24 -511286.590540] Model parameter optimization (eps = 1.000000)
[26:13:41 -511277.357687] SLOW spr round 1 (radius: 5)
[26:16:35 -511183.273601] SLOW spr round 2 (radius: 5)
[26:19:26 -511174.849474] SLOW spr round 3 (radius: 5)
[26:22:10 -511174.846608] SLOW spr round 4 (radius: 10)
[26:24:58 -511171.770215] SLOW spr round 5 (radius: 5)
[26:28:29 -511171.770070] SLOW spr round 6 (radius: 10)
[26:31:39 -511171.769991] SLOW spr round 7 (radius: 15)
[26:35:53 -511171.769944] SLOW spr round 8 (radius: 20)
[26:43:47 -511171.769913] SLOW spr round 9 (radius: 25)
[26:54:37 -511171.769891] Model parameter optimization (eps = 0.100000)

[26:54:44] ML tree search #18, logLikelihood: -511171.714649

[26:54:44 -2576541.675106] Initial branch length optimization
[26:54:55 -2137674.030141] Model parameter optimization (eps = 10.000000)
[26:55:45 -2134239.500747] AUTODETECT spr round 1 (radius: 5)
[26:59:06 -1350378.668901] AUTODETECT spr round 2 (radius: 10)
[27:02:41 -882787.839399] AUTODETECT spr round 3 (radius: 15)
[27:06:49 -625540.648095] AUTODETECT spr round 4 (radius: 20)
[27:11:28 -585430.334336] AUTODETECT spr round 5 (radius: 25)
[27:16:49 -572708.108074] SPR radius for FAST iterations: 25 (autodetect)
[27:16:49 -572708.108074] Model parameter optimization (eps = 3.000000)
[27:17:13 -572380.401269] FAST spr round 1 (radius: 25)
[27:20:30 -514233.584589] FAST spr round 2 (radius: 25)
[27:23:16 -511463.936947] FAST spr round 3 (radius: 25)
[27:25:36 -511324.432575] FAST spr round 4 (radius: 25)
[27:27:49 -511323.203524] FAST spr round 5 (radius: 25)
[27:30:12 -511318.251349] FAST spr round 6 (radius: 25)
[27:32:31 -511314.377682] FAST spr round 7 (radius: 25)
[27:34:48 -511314.377593] Model parameter optimization (eps = 1.000000)
[27:35:07 -511306.645825] SLOW spr round 1 (radius: 5)
[27:38:23 -511182.606524] SLOW spr round 2 (radius: 5)
[27:41:37 -511175.375716] SLOW spr round 3 (radius: 5)
[27:44:44 -511175.373221] SLOW spr round 4 (radius: 10)
[27:47:59 -511173.402719] SLOW spr round 5 (radius: 5)
[27:52:20 -511164.036916] SLOW spr round 6 (radius: 5)
[27:55:57 -511164.036039] SLOW spr round 7 (radius: 10)
[27:59:19 -511164.035967] SLOW spr round 8 (radius: 15)
[28:04:24 -511164.035899] SLOW spr round 9 (radius: 20)
[28:13:26 -511164.035830] SLOW spr round 10 (radius: 25)
[28:25:57 -511164.035797] Model parameter optimization (eps = 0.100000)

[28:26:03] ML tree search #19, logLikelihood: -511164.002994

[28:26:03 -2558231.640463] Initial branch length optimization
[28:26:12 -2128437.171273] Model parameter optimization (eps = 10.000000)
[28:27:02 -2124771.543276] AUTODETECT spr round 1 (radius: 5)
[28:30:45 -1349743.926355] AUTODETECT spr round 2 (radius: 10)
[28:34:58 -844389.018467] AUTODETECT spr round 3 (radius: 15)
[28:39:09 -700239.115761] AUTODETECT spr round 4 (radius: 20)
[28:44:22 -611025.202278] AUTODETECT spr round 5 (radius: 25)
[28:50:29 -591107.176688] SPR radius for FAST iterations: 25 (autodetect)
[28:50:29 -591107.176688] Model parameter optimization (eps = 3.000000)
[28:51:08 -590757.803455] FAST spr round 1 (radius: 25)
[28:55:11 -515252.115381] FAST spr round 2 (radius: 25)
[28:58:15 -511654.397435] FAST spr round 3 (radius: 25)
[29:00:58 -511318.627489] FAST spr round 4 (radius: 25)
[29:03:25 -511313.195055] FAST spr round 5 (radius: 25)
[29:05:44 -511313.194396] Model parameter optimization (eps = 1.000000)
[29:06:05 -511286.878631] SLOW spr round 1 (radius: 5)
[29:09:32 -511167.144747] SLOW spr round 2 (radius: 5)
[29:12:52 -511158.133483] SLOW spr round 3 (radius: 5)
[29:15:59 -511158.131187] SLOW spr round 4 (radius: 10)
[29:19:13 -511157.597745] SLOW spr round 5 (radius: 5)
[29:23:18 -511157.597416] SLOW spr round 6 (radius: 10)
[29:26:58 -511157.597382] SLOW spr round 7 (radius: 15)
[29:31:52 -511157.597352] SLOW spr round 8 (radius: 20)
[29:41:07 -511157.597323] SLOW spr round 9 (radius: 25)
[29:53:29 -511157.597294] Model parameter optimization (eps = 0.100000)

[29:53:36] ML tree search #20, logLikelihood: -511157.563605


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.216170,0.311548) (0.193986,0.488041) (0.349799,0.873375) (0.240045,2.218226) 
   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: -511151.165732

AIC score: 1026312.331465 / AICc score: 9070372.331465 / BIC score: 1037223.354455
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=1706).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 51 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9ULL4/3_mltree/Q9ULL4.raxml.log

Analysis started: 04-Jul-2021 21:07:10 / finished: 06-Jul-2021 03:00:46

Elapsed time: 107616.245 seconds

Consumed energy: 9384.862 Wh (= 47 km in an electric car, or 235 km with an e-scooter!)