Table of Contents
ISRN Genomics
Volume 2013 (2013), Article ID 191206, 8 pages
http://dx.doi.org/10.1155/2013/191206
Review Article

A Review of Soft Computing Techniques for Gene Prediction

Department of Computer Science and Engineering, PEC University of Technology, Sector-12, Chandigarh 160012, UT, India

Received 26 December 2012; Accepted 6 February 2013

Academic Editors: S. Cavallaro, A. Piepoli, and A. Stubbs

Copyright © 2013 Neelam Goel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the past decade, various genomes have been sequenced in both plants and animals. The falling cost of genome sequencing manifests a great impact on the research community with respect to annotation of genomes. Genome annotation helps in understanding the biological functions of the sequences of these genomes. Gene prediction is one of the most important aspects of genome annotation and it is an open research problem in bioinformatics. A large number of techniques for gene prediction have been developed over the past few years. In this paper a theoretical review of soft computing techniques for gene prediction is presented. The problem of gene prediction, along with the issues involved in it, is first described. A brief description of soft computing techniques, before discussing their application to gene prediction, is then provided. In addition, a list of different soft computing techniques for gene prediction is compiled. Finally some limitations of the current research and future research directions are presented.