May 222014
 

MO-SAStrE v2.0

:: DESCRIPTION

MO-SAStrE proposes a multiobjective genetic approach that takes advantage of three different objectives: STRIKE score (based on structural information), totally conserved (TC) columns and percentage of non-gaps. Additionally, this algorithm also applies a novel codification of individuals as well as efficient mutation and crossover operators. This algorithm is implemented through the well-known multiobjective non-dominated sorting genetic algorithm (NSGA-II) approach.

::DEVELOPER

Francisco M. Ortuño Guzman

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX /Windows
  • MatLab

:: DOWNLOAD

 MO-SAStrE

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Sep 1;29(17):2112-21. doi: 10.1093/bioinformatics/btt360. Epub 2013 Jun 21.
Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Ortuño FM1, Valenzuela O, Rojas F, Pomares H, Florido JP, Urquiza JM, Rojas I.

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