Algorithms for splicing junction donor recognition in genomic DNA sequences

Document Type

Conference Proceeding

Publication Date

1-1-1998

Abstract

The consensus sequences at splicing junctions in genomic DNA are required for pre-mRNA breaking and rejoining which must be carried out precisely. Programs currently available for identification or prediction of transcribed sequences from within genomic DNA are far from being powerful enough to elucidate genomic structure completely [2]. In this research, we develop pattern matching algorithms for 5' splicing site (donor site) recognition. Using the Motif models we develop, we can mine out the degenerate pattern information from the consensus splicing junction sequences. The experimental results show that, our algorithm can correctly recognize 93% of the total donor sites at the right positions in the test DNA group. Furthermore, more than 91% of the donor sites our algorithm predicts are correct. These precision rates are higher than the best existing donor classification algorithm [12]. The research makes a very important progress toward the development of our algorithms for full gene structure detection.

Identifier

0006555630 (Scopus)

ISBN

[078034863X, 9780780348639]

Publication Title

Proceedings IEEE International Joint Symposia on Intelligence and Systems

External Full Text Location

https://doi.org/10.1109/IJSIS.1998.685439

First Page

169

Last Page

176

This document is currently not available here.

Share

COinS