title: A comparative analysis of soft computing techniques for gene prediction.
abstract: The rapid growth of genomic sequence data for both human and nonhuman species has made analyzing these sequences, especially predicting genes in them, very important and is currently the focus of many research efforts. Beside its scientific interest in the molecular biology and genomics community, gene prediction is of considerable importance in human health and medicine. A variety of gene prediction techniques have been developed for eukaryotes over the past few years. This article reviews and analyzes the application of certain soft computing techniques in gene prediction. First, the problem of gene prediction and its challenges are described. These are followed by different soft computing techniques along with their application to gene prediction. In addition, a comparative analysis of different soft computing techniques for gene prediction is given. Finally some limitations of the current research activities and future research directions are provided.
authors.affiliation: Department of Computer Science and Engineering, PEC University of Technology, Sector-12, Chandigarh 160 012, UT, India. neelam.goyal85@gmail.com
authors.forename: Neelam
authors.initials: N
authors.lastname: Goel
authors.forename: Shailendra
authors.initials: S
authors.lastname: Singh
authors.forename: Trilok Chand
authors.initials: TC
authors.lastname: Aseri
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D005796:Genes / Q000235:genetics*; D006801:Humans; D016571:Neural Networks, Computer; D022821:RNA Splice Sites / Q000235:genetics
chemical_list: D022821:RNA Splice Sites