Detecting conserved RNA secondary structures in viral genomes: The RADAR approach

Document Type

Conference Proceeding

Publication Date

1-1-2007

Abstract

Conserved regions, or motifs, present among RNA secondary structures serve as a useful indicator for predicting the functionality of the RNA molecules. Automated detection or discovery of these conserved regions is emerging as an important research topic in health and disease informatics. In this short paper we present a new approach for detecting conserved regions in RNA secondary structures by the use of constrained alignment and apply the approach to finding structural motifs in some viral genomes. Our experimental results show that the proposed approach is capable of efficiently detecting conserved regions in the viral genomes and is comparable to existing methods. We implement our constrained structure alignment algorithm into a web server, called RADAR. This web server is fully operational and accessible on the Internet at http://datalab.njit.edu/biodata/rna/RSmatch/server.htm. © Springer-Verlag Berlin Heidelberg 2007.

Identifier

37249017509 (Scopus)

ISBN

[9783540726074]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-540-72608-1_23

e-ISSN

16113349

ISSN

03029743

First Page

222

Last Page

227

Volume

4506 LNCS

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