Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns

Francisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier P. Florido, José M. Urquiza, Ignacio Rojas. Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns. Bioinformatics, 29(17):2112-2121, 2013. [doi]

@article{GuzmanVRPFUR13,
  title = {Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns},
  author = {Francisco M. Ortuño Guzman and Olga Valenzuela and Fernando Rojas and Héctor Pomares and Javier P. Florido and José M. Urquiza and Ignacio Rojas},
  year = {2013},
  doi = {10.1093/bioinformatics/btt360},
  url = {http://dx.doi.org/10.1093/bioinformatics/btt360},
  researchr = {https://researchr.org/publication/GuzmanVRPFUR13},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {29},
  number = {17},
  pages = {2112-2121},
}