Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition | IGI Global Scientific Publishing
Welcome to the InfoSci Platform
Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition

Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition

Srinivasareddy Putluri, Shaik Yasmin Fathima
Copyright: © 2017 |Volume: 6 |Issue: 1 |Pages: 11
ISSN: 2156-1737|EISSN: 2156-1729|EISBN13: 9781522515050|DOI: 10.4018/IJMTIE.2017010103
Cite Article Cite Article

MLA

Putluri, Srinivasareddy, and Shaik Yasmin Fathima. "Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition." IJMTIE vol.6, no.1 2017: pp.22-32. https://doi.org/10.4018/IJMTIE.2017010103

APA

Putluri, S. & Fathima, S. Y. (2017). Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition. International Journal of Measurement Technologies and Instrumentation Engineering (IJMTIE), 6(1), 22-32. https://doi.org/10.4018/IJMTIE.2017010103

Chicago

Putluri, Srinivasareddy, and Shaik Yasmin Fathima. "Novel Adaptive Exon Predictor for DNA Analysis Using Singular Value Decomposition," International Journal of Measurement Technologies and Instrumentation Engineering (IJMTIE) 6, no.1: 22-32. https://doi.org/10.4018/IJMTIE.2017010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how a realistic prediction of the exon regions in deoxyribonucleic acid (DNA) is a key task in the field of genomics. Learning of the protein coding regions is a key aspect of disease identification and designing drugs. These sections of DNA are known as exons, that show three base periodicity (TBP) which serves as a base for all exon locating methods. Many techniques have been applied successfully, but development is still needed in this area. We develop a novel adaptive exon predictor (AEP) using singular value decomposition (SVD) which notably reduces computational complexity and provides better performance in terms of accuracy. Finally, the exon locating capability of proposed SVD based AEP is tested using a real DNA sequence with accession AF099922, obtained from the National Center for Biotechnology Information (NCBI) database and compared with the existing LMS methods. It was shown that proposed AEP is more efficient for locating the exon regions in a DNA sequence.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global Scientific Publishing bookstore.

Related Articles

Article 2
Vol. 6, Iss. 1
Process Optimization and NVA Reduction by Network Analysis and Resequencing
Process Optimization and NVA Reduction b...
© 2019. 16 pages
Industrial Informatics; Physical Sciences and Engineering
Add