Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization

  title={Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization},
  author={David L. Gonz{\'a}lez-{\'A}lvarez and Miguel A. Vega-Rodr{\'i}guez and Juan Antonio G{\'o}mez Pulido and Juan M. S{\'a}nchez-P{\'e}rez},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)},
Bioinformatics and computational biology include researchers from many areas: biochemists, physicists, mathematicians, and engineers. The scale of the problems that are discussed ranges from small molecules to complex systems, where many organisms coexist. However, among all these issues, we can highlight genomics, which studies the genomes of microorganisms, plants, and animals. Predicting common patterns, i.e., motifs, in a set of deoxyribonucleic acid (DNA) sequences is one of the important… CONTINUE READING