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 07:54:30 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/2_msa/Q5SV97_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/2_msa/Q5SV97_trimmed_msa.fasta
[00:00:00] Loaded alignment with 80 taxa and 44 sites

WARNING: Sequences tr_A0A1L1RV84_A0A1L1RV84_CHICK_9031 and tr_G1MWL2_G1MWL2_MELGA_9103 are exactly identical!
WARNING: Sequences tr_A0A1L1RV84_A0A1L1RV84_CHICK_9031 and tr_A0A226N094_A0A226N094_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A1L1RV84_A0A1L1RV84_CHICK_9031 and tr_A0A226PDP5_A0A226PDP5_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A3B3I4J2_A0A3B3I4J2_ORYLA_8090 and tr_A0A3B5KD68_A0A3B5KD68_TAKRU_31033 are exactly identical!
WARNING: Sequences tr_A0A3B3I4J2_A0A3B3I4J2_ORYLA_8090 and tr_A0A2I4BTX7_A0A2I4BTX7_9TELE_52670 are exactly identical!
WARNING: Sequences tr_A0A2I3H7G5_A0A2I3H7G5_NOMLE_61853 and tr_G3U9D2_G3U9D2_LOXAF_9785 are exactly identical!
WARNING: Sequences tr_A0A2I3H7G5_A0A2I3H7G5_NOMLE_61853 and tr_A0A2R9BNY0_A0A2R9BNY0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_E2R7Q7_E2R7Q7_CANLF_9615 and tr_A0A384DSB9_A0A384DSB9_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A2I3RW91_A0A2I3RW91_PANTR_9598 and tr_A0A2I3TT77_A0A2I3TT77_PANTR_9598 are exactly identical!
WARNING: Sequences tr_D3ZH76_D3ZH76_RAT_10116 and tr_A0A287A6S6_A0A287A6S6_PIG_9823 are exactly identical!
WARNING: Sequences tr_D3ZH76_D3ZH76_RAT_10116 and tr_A0A3Q0D5F3_A0A3Q0D5F3_MESAU_10036 are exactly identical!
WARNING: Sequences tr_D3ZH76_D3ZH76_RAT_10116 and tr_A0A2Y9QF75_A0A2Y9QF75_DELLE_9749 are exactly identical!
WARNING: Sequences tr_M4ASM3_M4ASM3_XIPMA_8083 and tr_A0A087YK39_A0A087YK39_POEFO_48698 are exactly identical!
WARNING: Sequences tr_F6YHM9_F6YHM9_MACMU_9544 and tr_A0A096P2C9_A0A096P2C9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6YHM9_F6YHM9_MACMU_9544 and tr_A0A2K5MBD7_A0A2K5MBD7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6YHM9_F6YHM9_MACMU_9544 and tr_A0A2K6AXI3_A0A2K6AXI3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_U3JY88_U3JY88_FICAL_59894 and tr_U3ILB3_U3ILB3_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_U3JY88_U3JY88_FICAL_59894 and tr_A0A218UIY8_A0A218UIY8_9PASE_299123 are exactly identical!
WARNING: Sequences tr_A0A0Q3LZH4_A0A0Q3LZH4_AMAAE_12930 and tr_A0A093HKJ6_A0A093HKJ6_STRCA_441894 are exactly identical!
WARNING: Sequences tr_A0A1S3LA64_A0A1S3LA64_SALSA_8030 and tr_A0A060WZB0_A0A060WZB0_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3MEW6_A0A1S3MEW6_SALSA_8030 and tr_A0A060XJZ6_A0A060XJZ6_ONCMY_8022 are exactly identical!
WARNING: Duplicate sequences found: 21

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.reduced.phy

Alignment comprises 1 partitions and 44 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 44 / 44
Gaps: 1.88 %
Invariant sites: 18.18 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 80 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 44 / 3520
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -3025.785027] Initial branch length optimization
[00:00:00 -2301.429618] Model parameter optimization (eps = 10.000000)
[00:00:01 -2277.000009] AUTODETECT spr round 1 (radius: 5)
[00:00:01 -1377.743313] AUTODETECT spr round 2 (radius: 10)
[00:00:02 -1234.280237] AUTODETECT spr round 3 (radius: 15)
[00:00:03 -1219.208311] AUTODETECT spr round 4 (radius: 20)
[00:00:04 -1009.345761] AUTODETECT spr round 5 (radius: 25)
[00:00:04 -1009.340481] SPR radius for FAST iterations: 20 (autodetect)
[00:00:04 -1009.340481] Model parameter optimization (eps = 3.000000)
[00:00:05 -1007.699548] FAST spr round 1 (radius: 20)
[00:00:06 -934.631108] FAST spr round 2 (radius: 20)
[00:00:06 -915.610550] FAST spr round 3 (radius: 20)
[00:00:07 -911.953208] FAST spr round 4 (radius: 20)
[00:00:08 -911.953073] Model parameter optimization (eps = 1.000000)
[00:00:09 -910.670066] SLOW spr round 1 (radius: 5)
[00:00:10 -910.670050] SLOW spr round 2 (radius: 10)
[00:00:11 -908.487094] SLOW spr round 3 (radius: 5)
[00:00:13 -908.486986] SLOW spr round 4 (radius: 10)
[00:00:14 -908.486986] SLOW spr round 5 (radius: 15)
[00:00:16 -908.486986] SLOW spr round 6 (radius: 20)
[00:00:17 -908.486986] SLOW spr round 7 (radius: 25)
[00:00:17 -908.486986] Model parameter optimization (eps = 0.100000)

[00:00:18] ML tree search #1, logLikelihood: -908.276259

[00:00:18 -2988.477416] Initial branch length optimization
[00:00:18 -2316.723986] Model parameter optimization (eps = 10.000000)
[00:00:19 -2286.194443] AUTODETECT spr round 1 (radius: 5)
[00:00:20 -1425.641465] AUTODETECT spr round 2 (radius: 10)
[00:00:21 -1146.003485] AUTODETECT spr round 3 (radius: 15)
[00:00:22 -1056.143017] AUTODETECT spr round 4 (radius: 20)
[00:00:23 -1056.127553] SPR radius for FAST iterations: 15 (autodetect)
[00:00:23 -1056.127553] Model parameter optimization (eps = 3.000000)
[00:00:24 -1053.007761] FAST spr round 1 (radius: 15)
[00:00:25 -929.295162] FAST spr round 2 (radius: 15)
[00:00:26 -910.728313] FAST spr round 3 (radius: 15)
[00:00:27 -910.728119] Model parameter optimization (eps = 1.000000)
[00:00:28 -909.734418] SLOW spr round 1 (radius: 5)
[00:00:29 -909.734249] SLOW spr round 2 (radius: 10)
[00:00:30 -908.622816] SLOW spr round 3 (radius: 5)
[00:00:32 -908.229487] SLOW spr round 4 (radius: 5)
[00:00:33 -908.229427] SLOW spr round 5 (radius: 10)
[00:00:34 -908.229426] SLOW spr round 6 (radius: 15)
[00:00:35 -908.229426] SLOW spr round 7 (radius: 20)
[00:00:36 -908.229426] SLOW spr round 8 (radius: 25)
[00:00:37 -908.229426] Model parameter optimization (eps = 0.100000)

[00:00:38] ML tree search #2, logLikelihood: -907.937508

[00:00:38 -2970.331664] Initial branch length optimization
[00:00:38 -2257.445541] Model parameter optimization (eps = 10.000000)
[00:00:40 -2230.598894] AUTODETECT spr round 1 (radius: 5)
[00:00:40 -1450.826540] AUTODETECT spr round 2 (radius: 10)
[00:00:41 -1204.368500] AUTODETECT spr round 3 (radius: 15)
[00:00:42 -1032.097181] AUTODETECT spr round 4 (radius: 20)
[00:00:43 -1032.097095] SPR radius for FAST iterations: 15 (autodetect)
[00:00:43 -1032.097095] Model parameter optimization (eps = 3.000000)
[00:00:43 -1031.597767] FAST spr round 1 (radius: 15)
[00:00:44 -920.446169] FAST spr round 2 (radius: 15)
[00:00:45 -912.142056] FAST spr round 3 (radius: 15)
[00:00:46 -909.523748] FAST spr round 4 (radius: 15)
[00:00:46 -909.523744] Model parameter optimization (eps = 1.000000)
[00:00:47 -908.678004] SLOW spr round 1 (radius: 5)
[00:00:49 -908.677673] SLOW spr round 2 (radius: 10)
[00:00:50 -908.677673] SLOW spr round 3 (radius: 15)
[00:00:51 -908.677673] SLOW spr round 4 (radius: 20)
[00:00:52 -908.677673] SLOW spr round 5 (radius: 25)
[00:00:53 -908.677673] Model parameter optimization (eps = 0.100000)

[00:00:54] ML tree search #3, logLikelihood: -908.667769

[00:00:54 -2956.161592] Initial branch length optimization
[00:00:54 -2254.423039] Model parameter optimization (eps = 10.000000)
[00:00:55 -2231.083773] AUTODETECT spr round 1 (radius: 5)
[00:00:55 -1477.632611] AUTODETECT spr round 2 (radius: 10)
[00:00:56 -1134.965744] AUTODETECT spr round 3 (radius: 15)
[00:00:57 -980.115035] AUTODETECT spr round 4 (radius: 20)
[00:00:58 -980.109215] SPR radius for FAST iterations: 15 (autodetect)
[00:00:58 -980.109215] Model parameter optimization (eps = 3.000000)
[00:00:59 -978.645510] FAST spr round 1 (radius: 15)
[00:00:59 -942.522167] FAST spr round 2 (radius: 15)
[00:01:00 -910.990229] FAST spr round 3 (radius: 15)
[00:01:01 -909.623837] FAST spr round 4 (radius: 15)
[00:01:02 -909.213432] FAST spr round 5 (radius: 15)
[00:01:02 -909.213187] Model parameter optimization (eps = 1.000000)
[00:01:03 -908.286730] SLOW spr round 1 (radius: 5)
[00:01:05 -908.286517] SLOW spr round 2 (radius: 10)
[00:01:06 -908.286514] SLOW spr round 3 (radius: 15)
[00:01:07 -908.286514] SLOW spr round 4 (radius: 20)
[00:01:08 -908.286514] SLOW spr round 5 (radius: 25)
[00:01:09 -908.286514] Model parameter optimization (eps = 0.100000)

[00:01:09] ML tree search #4, logLikelihood: -908.276352

[00:01:09 -2952.073887] Initial branch length optimization
[00:01:09 -2266.389259] Model parameter optimization (eps = 10.000000)
[00:01:10 -2240.987621] AUTODETECT spr round 1 (radius: 5)
[00:01:11 -1414.686231] AUTODETECT spr round 2 (radius: 10)
[00:01:12 -1094.672559] AUTODETECT spr round 3 (radius: 15)
[00:01:13 -1022.682276] AUTODETECT spr round 4 (radius: 20)
[00:01:13 -1021.278342] AUTODETECT spr round 5 (radius: 25)
[00:01:14 -1021.270615] SPR radius for FAST iterations: 20 (autodetect)
[00:01:14 -1021.270615] Model parameter optimization (eps = 3.000000)
[00:01:16 -1016.012383] FAST spr round 1 (radius: 20)
[00:01:17 -938.847143] FAST spr round 2 (radius: 20)
[00:01:17 -908.516625] FAST spr round 3 (radius: 20)
[00:01:18 -908.516535] Model parameter optimization (eps = 1.000000)
[00:01:19 -907.938027] SLOW spr round 1 (radius: 5)
[00:01:20 -907.937747] SLOW spr round 2 (radius: 10)
[00:01:21 -907.937743] SLOW spr round 3 (radius: 15)
[00:01:23 -907.937743] SLOW spr round 4 (radius: 20)
[00:01:24 -907.937743] SLOW spr round 5 (radius: 25)
[00:01:24 -907.937743] Model parameter optimization (eps = 0.100000)

[00:01:25] ML tree search #5, logLikelihood: -907.937344

[00:01:25 -3131.754631] Initial branch length optimization
[00:01:25 -2366.004628] Model parameter optimization (eps = 10.000000)
[00:01:26 -2338.198351] AUTODETECT spr round 1 (radius: 5)
[00:01:27 -1430.247521] AUTODETECT spr round 2 (radius: 10)
[00:01:28 -1067.597970] AUTODETECT spr round 3 (radius: 15)
[00:01:28 -1062.703395] AUTODETECT spr round 4 (radius: 20)
[00:01:29 -1007.062192] AUTODETECT spr round 5 (radius: 25)
[00:01:30 -1007.062149] SPR radius for FAST iterations: 20 (autodetect)
[00:01:30 -1007.062149] Model parameter optimization (eps = 3.000000)
[00:01:31 -1005.360698] FAST spr round 1 (radius: 20)
[00:01:32 -924.547008] FAST spr round 2 (radius: 20)
[00:01:33 -909.186603] FAST spr round 3 (radius: 20)
[00:01:33 -909.186567] Model parameter optimization (eps = 1.000000)
[00:01:34 -908.724933] SLOW spr round 1 (radius: 5)
[00:01:35 -908.724888] SLOW spr round 2 (radius: 10)
[00:01:36 -908.724888] SLOW spr round 3 (radius: 15)
[00:01:38 -908.724888] SLOW spr round 4 (radius: 20)
[00:01:39 -908.724888] SLOW spr round 5 (radius: 25)
[00:01:40 -908.724888] Model parameter optimization (eps = 0.100000)

[00:01:40] ML tree search #6, logLikelihood: -908.722942

[00:01:40 -3139.861143] Initial branch length optimization
[00:01:40 -2407.142370] Model parameter optimization (eps = 10.000000)
[00:01:41 -2377.432468] AUTODETECT spr round 1 (radius: 5)
[00:01:42 -1573.306470] AUTODETECT spr round 2 (radius: 10)
[00:01:43 -1201.329884] AUTODETECT spr round 3 (radius: 15)
[00:01:44 -1055.143314] AUTODETECT spr round 4 (radius: 20)
[00:01:45 -1049.050787] AUTODETECT spr round 5 (radius: 25)
[00:01:45 -1049.047520] SPR radius for FAST iterations: 20 (autodetect)
[00:01:45 -1049.047520] Model parameter optimization (eps = 3.000000)
[00:01:46 -1046.859393] FAST spr round 1 (radius: 20)
[00:01:47 -934.495404] FAST spr round 2 (radius: 20)
[00:01:48 -910.128880] FAST spr round 3 (radius: 20)
[00:01:48 -909.728695] FAST spr round 4 (radius: 20)
[00:01:49 -909.728507] Model parameter optimization (eps = 1.000000)
[00:01:51 -908.276451] SLOW spr round 1 (radius: 5)
[00:01:52 -908.276425] SLOW spr round 2 (radius: 10)
[00:01:53 -908.241983] SLOW spr round 3 (radius: 15)
[00:01:54 -908.241979] SLOW spr round 4 (radius: 20)
[00:01:55 -908.241979] SLOW spr round 5 (radius: 25)
[00:01:56 -908.241979] Model parameter optimization (eps = 0.100000)

[00:01:57] ML tree search #7, logLikelihood: -908.086300

[00:01:57 -3170.358169] Initial branch length optimization
[00:01:57 -2365.565926] Model parameter optimization (eps = 10.000000)
[00:01:58 -2331.193088] AUTODETECT spr round 1 (radius: 5)
[00:01:59 -1434.731273] AUTODETECT spr round 2 (radius: 10)
[00:02:00 -1148.820825] AUTODETECT spr round 3 (radius: 15)
[00:02:01 -1071.431852] AUTODETECT spr round 4 (radius: 20)
[00:02:02 -1071.431348] SPR radius for FAST iterations: 15 (autodetect)
[00:02:02 -1071.431348] Model parameter optimization (eps = 3.000000)
[00:02:02 -1068.976109] FAST spr round 1 (radius: 15)
[00:02:03 -921.742658] FAST spr round 2 (radius: 15)
[00:02:04 -914.248659] FAST spr round 3 (radius: 15)
[00:02:04 -909.655598] FAST spr round 4 (radius: 15)
[00:02:05 -909.655582] Model parameter optimization (eps = 1.000000)
[00:02:06 -908.618614] SLOW spr round 1 (radius: 5)
[00:02:08 -908.618551] SLOW spr round 2 (radius: 10)
[00:02:09 -908.372928] SLOW spr round 3 (radius: 5)
[00:02:10 -908.372924] SLOW spr round 4 (radius: 10)
[00:02:11 -908.372924] SLOW spr round 5 (radius: 15)
[00:02:13 -908.372924] SLOW spr round 6 (radius: 20)
[00:02:14 -908.372924] SLOW spr round 7 (radius: 25)
[00:02:14 -908.372924] Model parameter optimization (eps = 0.100000)

[00:02:15] ML tree search #8, logLikelihood: -908.276704

[00:02:15 -3113.728087] Initial branch length optimization
[00:02:15 -2394.601426] Model parameter optimization (eps = 10.000000)
[00:02:16 -2374.562457] AUTODETECT spr round 1 (radius: 5)
[00:02:17 -1438.451535] AUTODETECT spr round 2 (radius: 10)
[00:02:18 -1033.829958] AUTODETECT spr round 3 (radius: 15)
[00:02:18 -1023.235516] AUTODETECT spr round 4 (radius: 20)
[00:02:19 -1023.235086] SPR radius for FAST iterations: 15 (autodetect)
[00:02:19 -1023.235086] Model parameter optimization (eps = 3.000000)
[00:02:20 -1021.101128] FAST spr round 1 (radius: 15)
[00:02:21 -952.101838] FAST spr round 2 (radius: 15)
[00:02:22 -917.477962] FAST spr round 3 (radius: 15)
[00:02:22 -913.854243] FAST spr round 4 (radius: 15)
[00:02:23 -912.341189] FAST spr round 5 (radius: 15)
[00:02:24 -912.341159] Model parameter optimization (eps = 1.000000)
[00:02:24 -911.357534] SLOW spr round 1 (radius: 5)
[00:02:26 -910.751478] SLOW spr round 2 (radius: 5)
[00:02:27 -910.751476] SLOW spr round 3 (radius: 10)
[00:02:28 -908.791837] SLOW spr round 4 (radius: 5)
[00:02:29 -908.791794] SLOW spr round 5 (radius: 10)
[00:02:30 -908.791788] SLOW spr round 6 (radius: 15)
[00:02:32 -908.730846] SLOW spr round 7 (radius: 20)
[00:02:33 -908.730842] SLOW spr round 8 (radius: 25)
[00:02:34 -908.730842] Model parameter optimization (eps = 0.100000)

[00:02:35] ML tree search #9, logLikelihood: -908.276153

[00:02:35 -3153.475195] Initial branch length optimization
[00:02:35 -2373.503003] Model parameter optimization (eps = 10.000000)
[00:02:36 -2344.447918] AUTODETECT spr round 1 (radius: 5)
[00:02:37 -1378.325636] AUTODETECT spr round 2 (radius: 10)
[00:02:38 -1026.023925] AUTODETECT spr round 3 (radius: 15)
[00:02:38 -1001.865232] AUTODETECT spr round 4 (radius: 20)
[00:02:39 -1001.863062] SPR radius for FAST iterations: 15 (autodetect)
[00:02:39 -1001.863062] Model parameter optimization (eps = 3.000000)
[00:02:41 -1000.533556] FAST spr round 1 (radius: 15)
[00:02:42 -912.164513] FAST spr round 2 (radius: 15)
[00:02:42 -908.640817] FAST spr round 3 (radius: 15)
[00:02:43 -908.640776] Model parameter optimization (eps = 1.000000)
[00:02:44 -908.090260] SLOW spr round 1 (radius: 5)
[00:02:45 -908.089737] SLOW spr round 2 (radius: 10)
[00:02:46 -908.089733] SLOW spr round 3 (radius: 15)
[00:02:48 -908.089733] SLOW spr round 4 (radius: 20)
[00:02:49 -908.089733] SLOW spr round 5 (radius: 25)
[00:02:49 -908.089733] Model parameter optimization (eps = 0.100000)

[00:02:50] ML tree search #10, logLikelihood: -908.086276

[00:02:50 -3183.653516] Initial branch length optimization
[00:02:50 -2417.081394] Model parameter optimization (eps = 10.000000)
[00:02:51 -2384.792682] AUTODETECT spr round 1 (radius: 5)
[00:02:51 -1457.144483] AUTODETECT spr round 2 (radius: 10)
[00:02:52 -982.525453] AUTODETECT spr round 3 (radius: 15)
[00:02:53 -979.142661] AUTODETECT spr round 4 (radius: 20)
[00:02:54 -979.135032] SPR radius for FAST iterations: 15 (autodetect)
[00:02:54 -979.135032] Model parameter optimization (eps = 3.000000)
[00:02:56 -976.394876] FAST spr round 1 (radius: 15)
[00:02:56 -923.209804] FAST spr round 2 (radius: 15)
[00:02:57 -913.608704] FAST spr round 3 (radius: 15)
[00:02:58 -913.583783] Model parameter optimization (eps = 1.000000)
[00:02:59 -913.205072] SLOW spr round 1 (radius: 5)
[00:03:01 -912.159140] SLOW spr round 2 (radius: 5)
[00:03:02 -912.159132] SLOW spr round 3 (radius: 10)
[00:03:03 -912.159132] SLOW spr round 4 (radius: 15)
[00:03:04 -912.034281] SLOW spr round 5 (radius: 5)
[00:03:06 -912.033264] SLOW spr round 6 (radius: 10)
[00:03:07 -912.032706] SLOW spr round 7 (radius: 15)
[00:03:09 -912.032403] SLOW spr round 8 (radius: 20)
[00:03:10 -912.032241] SLOW spr round 9 (radius: 25)
[00:03:11 -912.032155] Model parameter optimization (eps = 0.100000)

[00:03:12] ML tree search #11, logLikelihood: -911.922636

[00:03:12 -2956.769467] Initial branch length optimization
[00:03:12 -2266.021441] Model parameter optimization (eps = 10.000000)
[00:03:13 -2236.431452] AUTODETECT spr round 1 (radius: 5)
[00:03:13 -1412.046315] AUTODETECT spr round 2 (radius: 10)
[00:03:14 -1078.166147] AUTODETECT spr round 3 (radius: 15)
[00:03:15 -990.243461] AUTODETECT spr round 4 (radius: 20)
[00:03:16 -990.240210] SPR radius for FAST iterations: 15 (autodetect)
[00:03:16 -990.240210] Model parameter optimization (eps = 3.000000)
[00:03:17 -988.536528] FAST spr round 1 (radius: 15)
[00:03:18 -932.127005] FAST spr round 2 (radius: 15)
[00:03:18 -915.251862] FAST spr round 3 (radius: 15)
[00:03:19 -909.596304] FAST spr round 4 (radius: 15)
[00:03:20 -909.595138] Model parameter optimization (eps = 1.000000)
[00:03:22 -908.088317] SLOW spr round 1 (radius: 5)
[00:03:23 -908.086441] SLOW spr round 2 (radius: 10)
[00:03:24 -908.086441] SLOW spr round 3 (radius: 15)
[00:03:25 -908.086441] SLOW spr round 4 (radius: 20)
[00:03:26 -908.086441] SLOW spr round 5 (radius: 25)
[00:03:27 -908.086441] Model parameter optimization (eps = 0.100000)

[00:03:27] ML tree search #12, logLikelihood: -908.086233

[00:03:27 -3122.288081] Initial branch length optimization
[00:03:27 -2359.961256] Model parameter optimization (eps = 10.000000)
[00:03:28 -2339.566687] AUTODETECT spr round 1 (radius: 5)
[00:03:29 -1337.035571] AUTODETECT spr round 2 (radius: 10)
[00:03:30 -1039.417747] AUTODETECT spr round 3 (radius: 15)
[00:03:31 -1032.368706] AUTODETECT spr round 4 (radius: 20)
[00:03:31 -1032.367663] SPR radius for FAST iterations: 15 (autodetect)
[00:03:31 -1032.367663] Model parameter optimization (eps = 3.000000)
[00:03:32 -1031.049162] FAST spr round 1 (radius: 15)
[00:03:33 -930.117956] FAST spr round 2 (radius: 15)
[00:03:34 -918.650940] FAST spr round 3 (radius: 15)
[00:03:34 -918.650814] Model parameter optimization (eps = 1.000000)
[00:03:36 -917.599523] SLOW spr round 1 (radius: 5)
[00:03:37 -917.599426] SLOW spr round 2 (radius: 10)
[00:03:38 -917.319203] SLOW spr round 3 (radius: 5)
[00:03:40 -917.319184] SLOW spr round 4 (radius: 10)
[00:03:41 -917.319184] SLOW spr round 5 (radius: 15)
[00:03:42 -908.467008] SLOW spr round 6 (radius: 5)
[00:03:44 -908.466995] SLOW spr round 7 (radius: 10)
[00:03:45 -908.466995] SLOW spr round 8 (radius: 15)
[00:03:47 -908.466995] SLOW spr round 9 (radius: 20)
[00:03:48 -908.466995] SLOW spr round 10 (radius: 25)
[00:03:49 -908.466995] Model parameter optimization (eps = 0.100000)

[00:03:49] ML tree search #13, logLikelihood: -908.276250

[00:03:49 -3046.671915] Initial branch length optimization
[00:03:50 -2349.941058] Model parameter optimization (eps = 10.000000)
[00:03:51 -2322.654418] AUTODETECT spr round 1 (radius: 5)
[00:03:52 -1500.858966] AUTODETECT spr round 2 (radius: 10)
[00:03:53 -1049.628979] AUTODETECT spr round 3 (radius: 15)
[00:03:53 -1037.223896] AUTODETECT spr round 4 (radius: 20)
[00:03:54 -1037.205266] SPR radius for FAST iterations: 15 (autodetect)
[00:03:54 -1037.205266] Model parameter optimization (eps = 3.000000)
[00:03:55 -1035.788394] FAST spr round 1 (radius: 15)
[00:03:56 -921.473855] FAST spr round 2 (radius: 15)
[00:03:57 -911.569724] FAST spr round 3 (radius: 15)
[00:03:57 -911.201026] FAST spr round 4 (radius: 15)
[00:03:58 -911.201013] Model parameter optimization (eps = 1.000000)
[00:03:59 -910.898711] SLOW spr round 1 (radius: 5)
[00:04:00 -908.107414] SLOW spr round 2 (radius: 5)
[00:04:01 -908.107335] SLOW spr round 3 (radius: 10)
[00:04:02 -908.107332] SLOW spr round 4 (radius: 15)
[00:04:04 -908.107332] SLOW spr round 5 (radius: 20)
[00:04:05 -908.107332] SLOW spr round 6 (radius: 25)
[00:04:05 -908.107332] Model parameter optimization (eps = 0.100000)

[00:04:06] ML tree search #14, logLikelihood: -908.086416

[00:04:06 -2894.496240] Initial branch length optimization
[00:04:06 -2224.091702] Model parameter optimization (eps = 10.000000)
[00:04:07 -2195.026369] AUTODETECT spr round 1 (radius: 5)
[00:04:08 -1306.991476] AUTODETECT spr round 2 (radius: 10)
[00:04:09 -1118.989943] AUTODETECT spr round 3 (radius: 15)
[00:04:09 -1008.547939] AUTODETECT spr round 4 (radius: 20)
[00:04:10 -1008.543485] SPR radius for FAST iterations: 15 (autodetect)
[00:04:10 -1008.543485] Model parameter optimization (eps = 3.000000)
[00:04:11 -1007.708446] FAST spr round 1 (radius: 15)
[00:04:12 -943.233628] FAST spr round 2 (radius: 15)
[00:04:13 -909.132244] FAST spr round 3 (radius: 15)
[00:04:14 -909.132153] Model parameter optimization (eps = 1.000000)
[00:04:14 -908.282912] SLOW spr round 1 (radius: 5)
[00:04:16 -908.282666] SLOW spr round 2 (radius: 10)
[00:04:17 -908.282665] SLOW spr round 3 (radius: 15)
[00:04:18 -908.282665] SLOW spr round 4 (radius: 20)
[00:04:19 -908.282665] SLOW spr round 5 (radius: 25)
[00:04:20 -908.282665] Model parameter optimization (eps = 0.100000)

[00:04:20] ML tree search #15, logLikelihood: -908.276230

[00:04:20 -3113.964002] Initial branch length optimization
[00:04:20 -2356.594670] Model parameter optimization (eps = 10.000000)
[00:04:22 -2337.697846] AUTODETECT spr round 1 (radius: 5)
[00:04:22 -1438.890607] AUTODETECT spr round 2 (radius: 10)
[00:04:23 -1143.828229] AUTODETECT spr round 3 (radius: 15)
[00:04:24 -1051.009986] AUTODETECT spr round 4 (radius: 20)
[00:04:25 -1051.002081] SPR radius for FAST iterations: 15 (autodetect)
[00:04:25 -1051.002081] Model parameter optimization (eps = 3.000000)
[00:04:25 -1049.287194] FAST spr round 1 (radius: 15)
[00:04:26 -932.249644] FAST spr round 2 (radius: 15)
[00:04:27 -910.163607] FAST spr round 3 (radius: 15)
[00:04:28 -910.163537] Model parameter optimization (eps = 1.000000)
[00:04:28 -909.353805] SLOW spr round 1 (radius: 5)
[00:04:30 -909.353188] SLOW spr round 2 (radius: 10)
[00:04:31 -908.748625] SLOW spr round 3 (radius: 5)
[00:04:32 -908.748618] SLOW spr round 4 (radius: 10)
[00:04:33 -908.748618] SLOW spr round 5 (radius: 15)
[00:04:35 -908.690014] SLOW spr round 6 (radius: 20)
[00:04:36 -908.690008] SLOW spr round 7 (radius: 25)
[00:04:37 -908.690008] Model parameter optimization (eps = 0.100000)

[00:04:38] ML tree search #16, logLikelihood: -908.276157

[00:04:38 -3005.394661] Initial branch length optimization
[00:04:38 -2304.281150] Model parameter optimization (eps = 10.000000)
[00:04:39 -2282.194402] AUTODETECT spr round 1 (radius: 5)
[00:04:40 -1412.895412] AUTODETECT spr round 2 (radius: 10)
[00:04:40 -1197.193270] AUTODETECT spr round 3 (radius: 15)
[00:04:42 -968.801634] AUTODETECT spr round 4 (radius: 20)
[00:04:42 -968.800548] SPR radius for FAST iterations: 15 (autodetect)
[00:04:42 -968.800548] Model parameter optimization (eps = 3.000000)
[00:04:43 -967.026066] FAST spr round 1 (radius: 15)
[00:04:44 -917.246303] FAST spr round 2 (radius: 15)
[00:04:45 -912.982320] FAST spr round 3 (radius: 15)
[00:04:45 -912.980641] Model parameter optimization (eps = 1.000000)
[00:04:46 -912.489616] SLOW spr round 1 (radius: 5)
[00:04:47 -912.282932] SLOW spr round 2 (radius: 5)
[00:04:48 -912.282907] SLOW spr round 3 (radius: 10)
[00:04:49 -912.282906] SLOW spr round 4 (radius: 15)
[00:04:51 -912.146401] SLOW spr round 5 (radius: 5)
[00:04:53 -912.146073] SLOW spr round 6 (radius: 10)
[00:04:54 -912.145881] SLOW spr round 7 (radius: 15)
[00:04:56 -912.145768] SLOW spr round 8 (radius: 20)
[00:04:57 -912.145703] SLOW spr round 9 (radius: 25)
[00:04:57 -912.145664] Model parameter optimization (eps = 0.100000)

[00:04:58] ML tree search #17, logLikelihood: -911.752889

[00:04:58 -3000.716155] Initial branch length optimization
[00:04:58 -2266.756904] Model parameter optimization (eps = 10.000000)
[00:04:59 -2239.015975] AUTODETECT spr round 1 (radius: 5)
[00:05:00 -1382.039172] AUTODETECT spr round 2 (radius: 10)
[00:05:01 -1190.926654] AUTODETECT spr round 3 (radius: 15)
[00:05:02 -1097.890368] AUTODETECT spr round 4 (radius: 20)
[00:05:02 -1097.877815] SPR radius for FAST iterations: 15 (autodetect)
[00:05:02 -1097.877815] Model parameter optimization (eps = 3.000000)
[00:05:03 -1095.039343] FAST spr round 1 (radius: 15)
[00:05:04 -930.978439] FAST spr round 2 (radius: 15)
[00:05:05 -913.626479] FAST spr round 3 (radius: 15)
[00:05:05 -909.215757] FAST spr round 4 (radius: 15)
[00:05:06 -909.215001] Model parameter optimization (eps = 1.000000)
[00:05:07 -908.338548] SLOW spr round 1 (radius: 5)
[00:05:08 -908.338137] SLOW spr round 2 (radius: 10)
[00:05:09 -908.338136] SLOW spr round 3 (radius: 15)
[00:05:11 -908.338136] SLOW spr round 4 (radius: 20)
[00:05:12 -908.338136] SLOW spr round 5 (radius: 25)
[00:05:13 -908.338136] Model parameter optimization (eps = 0.100000)

[00:05:13] ML tree search #18, logLikelihood: -908.331593

[00:05:13 -3065.897606] Initial branch length optimization
[00:05:13 -2325.053592] Model parameter optimization (eps = 10.000000)
[00:05:15 -2298.588190] AUTODETECT spr round 1 (radius: 5)
[00:05:15 -1490.475000] AUTODETECT spr round 2 (radius: 10)
[00:05:16 -1088.268368] AUTODETECT spr round 3 (radius: 15)
[00:05:17 -1009.667701] AUTODETECT spr round 4 (radius: 20)
[00:05:18 -1009.666773] SPR radius for FAST iterations: 15 (autodetect)
[00:05:18 -1009.666773] Model parameter optimization (eps = 3.000000)
[00:05:19 -1007.469249] FAST spr round 1 (radius: 15)
[00:05:19 -914.435530] FAST spr round 2 (radius: 15)
[00:05:20 -913.216417] FAST spr round 3 (radius: 15)
[00:05:21 -912.924992] FAST spr round 4 (radius: 15)
[00:05:21 -912.924935] Model parameter optimization (eps = 1.000000)
[00:05:22 -912.060203] SLOW spr round 1 (radius: 5)
[00:05:23 -911.708379] SLOW spr round 2 (radius: 5)
[00:05:24 -911.707192] SLOW spr round 3 (radius: 10)
[00:05:25 -911.706722] SLOW spr round 4 (radius: 15)
[00:05:27 -911.706502] SLOW spr round 5 (radius: 20)
[00:05:28 -911.706393] SLOW spr round 6 (radius: 25)
[00:05:29 -911.706337] Model parameter optimization (eps = 0.100000)

[00:05:29] ML tree search #19, logLikelihood: -911.642877

[00:05:29 -3042.091824] Initial branch length optimization
[00:05:29 -2335.450837] Model parameter optimization (eps = 10.000000)
[00:05:31 -2300.975483] AUTODETECT spr round 1 (radius: 5)
[00:05:31 -1470.703968] AUTODETECT spr round 2 (radius: 10)
[00:05:32 -1090.440120] AUTODETECT spr round 3 (radius: 15)
[00:05:33 -1041.555021] AUTODETECT spr round 4 (radius: 20)
[00:05:34 -1040.557244] AUTODETECT spr round 5 (radius: 25)
[00:05:34 -1040.555572] SPR radius for FAST iterations: 20 (autodetect)
[00:05:34 -1040.555572] Model parameter optimization (eps = 3.000000)
[00:05:36 -1036.874320] FAST spr round 1 (radius: 20)
[00:05:37 -933.926781] FAST spr round 2 (radius: 20)
[00:05:38 -924.665286] FAST spr round 3 (radius: 20)
[00:05:38 -921.029708] FAST spr round 4 (radius: 20)
[00:05:39 -921.029595] Model parameter optimization (eps = 1.000000)
[00:05:40 -919.643647] SLOW spr round 1 (radius: 5)
[00:05:41 -918.079870] SLOW spr round 2 (radius: 5)
[00:05:43 -918.079757] SLOW spr round 3 (radius: 10)
[00:05:43 -918.079757] SLOW spr round 4 (radius: 15)
[00:05:45 -915.074770] SLOW spr round 5 (radius: 5)
[00:05:47 -908.141996] SLOW spr round 6 (radius: 5)
[00:05:48 -908.141987] SLOW spr round 7 (radius: 10)
[00:05:49 -908.141987] SLOW spr round 8 (radius: 15)
[00:05:50 -908.141987] SLOW spr round 9 (radius: 20)
[00:05:51 -908.141987] SLOW spr round 10 (radius: 25)
[00:05:52 -908.141987] Model parameter optimization (eps = 0.100000)

[00:05:53] ML tree search #20, logLikelihood: -908.002804


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.380917,0.472656) (0.218260,1.439371) (0.294029,0.891841) (0.106794,2.280774) 
   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: -907.937344

AIC score: 2141.874688 / AICc score: 55605.874688 / BIC score: 2432.697599
Free parameters (model + branch lengths): 163

WARNING: Number of free parameters (K=163) is larger than alignment size (n=44).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 41 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q5SV97/3_mltree/Q5SV97.raxml.log

Analysis started: 04-Jul-2021 07:54:30 / finished: 04-Jul-2021 08:00:24

Elapsed time: 353.222 seconds

Consumed energy: 29.132 Wh