title: Polyadenylation site prediction using PolyA-iEP method.
abstract: This chapter presents a method called PolyA-iEP that has been developed for the prediction of polyadenylation sites. More precisely, PolyA-iEP is a method that recognizes mRNA 3'ends which contain polyadenylation sites. It is a modular system which consists of two main components. The first exploits the advantages of emerging patterns and the second is a distance-based scoring method. The outputs of the two components are finally combined by a classifier. The final results reach very high scores of sensitivity and specificity.
authors.affiliation: Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
authors.forename: Ioannis
authors.initials: I
authors.lastname: Kavakiotis
authors.forename: George
authors.initials: G
authors.lastname: Tzanis
authors.forename: Ioannis
authors.initials: I
authors.lastname: Vlahavas
mesh_terms: D019295:Computational Biology; D011061:Poly A / Q000378:metabolism*; D026723:Polyadenylation / Q000502:physiology*; D012333:RNA, Messenger / Q000737:chemistry / Q000235:genetics
chemical_list: D012333:RNA, Messenger; D011061:Poly A