RAGA: RNA sequence alignment by genetic algorithm

dc.contributor.authorNotredame, Cedric
dc.contributor.authorO'Brien, Emmet A.
dc.contributor.authorHiggins, Desmond G.
dc.contributor.funderEuropean Commission
dc.date.accessioned2017-11-14T13:24:33Z
dc.date.available2017-11-14T13:24:33Z
dc.date.issued1997
dc.description.abstractWe describe a new approach for accurately aligning two homologous RNA sequences when the secondary structure of one of them is known, To do so we developed two software packages, called RAGA and PRAGA, which use a genetic algorithm approach to optimize the alignments. RAGA is mainly an extension of SAGA, an earlier package for multiple protein sequence alignment, In PRAGA several genetic algorithms run in parallel and exchange individual solutions, This method allows us to optimize an objective function that describes the quality of a RNA pairwise alignment, taking into account both primary and secondary structure, including pseudoknots. We report results obtained using PRAGA on nine test cases of pairs of eukaryotic small subunit rRNA sequence (nuclear and mitochondrial).en
dc.description.sponsorshipEuropean Commission (BIO4-CT95 0130)
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationNotredame, C., O'Brien, E. A. and Higgins, D. G. (1997) 'RAGA: RNA sequence alignment by genetic algorithm', Nucleic Acids Research, 25(22), pp. 4570-4580. doi: 10.1093/nar/25.22.4570en
dc.identifier.doi10.1093/nar/25.22.4570
dc.identifier.endpage4580
dc.identifier.issn0305-1048
dc.identifier.issued22
dc.identifier.journaltitleNucleic Acids Researchen
dc.identifier.startpage4570
dc.identifier.urihttps://hdl.handle.net/10468/5039
dc.identifier.volume25
dc.language.isoenen
dc.publisherOxford University Pressen
dc.relation.urihttps://academic.oup.com/nar/article-lookup/doi/10.1093/nar/25.22.4570
dc.rights© 1997, Oxford University Pressen
dc.subjectSecondary structureen
dc.subjectComputer simulationen
dc.subjectRibosomal-RNAen
dc.titleRAGA: RNA sequence alignment by genetic algorithmen
dc.typeArticle (peer-reviewed)en
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