Title: A cohesive analysis of DNA/RNA sequences via entropy, energetics and spectral-domain methods to assess genomic features across single viral diversity

Authors: Perambur S. Neelakanta; Sharmistha Chatterjee; Mirjana Pavlovic

Addresses: Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA ' Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA ' Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA

Abstract: In virology context, a particular virus may prevail in different forms of serotypes (as in the case of dengue 1-4 viral strains) with common and distinct genomic features. Finding such genomic details of a serogroup is useful in knowing related information for unique vaccine designs compatible for immunity across the viral diversity. For robust comparison of genomes of serovars of a virus in order to decide on their common and differential genomic details, proposed here is a set of sequence analyses exercised side-by-side via entropy, energetic and spectral-domain methods. Results obtained thereof with dengue viral serotypes, namely DEN1, DEN2, DEN3 and DEN4, are presented. Hence, inferences on distinct as well as common features extracted are annotated and indicated for possible vaccine design applications.

Keywords: viral RNA genome; entropy; energetics; spectral domain; codon-non-codon delineation; epitope; vaccine design; DNA sequences; RNA sequences; single viral diversity; virology; dengue viral serotypes; viruses; bioinformatics.

DOI: 10.1504/IJBRA.2015.070113

International Journal of Bioinformatics Research and Applications, 2015 Vol.11 No.4, pp.281 - 307

Accepted: 04 Jun 2014
Published online: 27 Jun 2015 *

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