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Volume & Issue no: Volume 3, Issue 11, November 2014

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Title:
Boundary Exon Prediction Using External Information
Author Name:
Homesh Kaplesh, Aman Kaushik, Neelam Goel
Abstract:
ABSTRACT With numerous of genomes sequenced, gene prediction has become a challenging problem in bioinformatics. Gene prediction helps in identifying physical and mental features of different organisms. A large number of gene prediction tools have been developed in the past two decades. External information plays an important role in gene prediction. With the help of this information approximately more than half of genes can be predicted. Moreover it helps in improving the accuracy of ab-initio gene prediction methods. In this paper, a method for predicting boundary exons using external information is proposed. The proposed method uses grammatical rules to utilize the external evidences obtained from multiple alignment of cDNA, EST and Protein sequences.The experimental results show that the application of this new approach helps in the prediction of boundary exons. The method predicted most of the exons along with boundary exons. Keywords:- Boundary exon finder, bioinformatics, DNA
Cite this article:
Homesh Kaplesh, Aman Kaushik, Neelam Goel , " Boundary Exon Prediction Using External Information" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 11, November 2014 , pp. 250-254 , ISSN 2319 - 4847.
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