SciELO - Scientific Electronic Library Online

vol.27 issue4Looking for exceptions on knowledge rules induced from HIV cleavage data setEvaluation of gene selection metrics for tumor cell classification author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Genetics and Molecular Biology

Print version ISSN 1415-4757On-line version ISSN 1678-4685


OLIVEIRA, Márcio Ferreira da Silva; MENDES, Daniele Quintella; FERRARI, Luciana Itida  and  VASCONCELOS, Ana Tereza Ribeiro. Ribosome binding site recognition using neural networks. Genet. Mol. Biol. [online]. 2004, vol.27, n.4, pp.644-650. ISSN 1415-4757.

Pattern recognition is an important process for gene localization in genomes. The ribosome binding sites are signals that can help in the identification of a gene. It is difficult to find these signals in the genome through conventional methods because they are highly degenerated. Artificial Neural Networks is the approach used in this work to address this problem.

Keywords : bioinformatics; neural networks; ribosome binding site.

        · text in English     · English ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License