Journal article

Fast splice site detection using information content and feature reduction

AKMA Baten, SK Halgamuge, BCH Chang

BMC Bioinformatics | BioMed Central | Published : 2008


BACKGROUND: Accurate identification of splice sites in DNA sequences plays a key role in the prediction of gene structure in eukaryotes. Already many computational methods have been proposed for the detection of splice sites and some of them showed high prediction accuracy. However, most of these methods are limited in terms of their long computation time when applied to whole genome sequence data. RESULTS: In this paper we propose a hybrid algorithm which combines several effective and informative input features with the state of the art support vector machine (SVM). To obtain the input features we employ information content method based on Shannon's information theory, Shapiro's score sc..

View full abstract

University of Melbourne Researchers