CDS identification in a viral single-strand DNA (ssDNA) using Fisher linear discriminant
by Tomas V. Arredondo
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 7, No. 3, 2011

Abstract: In this paper, a novel discriminant algorithm based on Fisher linear discriminant that enables distinguishing the features of Codon DNA Segments (CDS) in a DNA sequence consistent with the underlying stochastic attributes is developed. It is specifically applied to a viral single-strand DNA (ssDNA). The Fisher discriminant adopted delineates judiciously, the codon and non-codon regions in the test ssDNA. With a complete description of the computational procedure, the efficacy of the algorithm is tested via simulated experiments on a real ssDNA of B19 virus. The results are validated against GenBank data available on the test viral sequence. Inferences with regard to CDS regions present in the test sequence are made indicating possible fuzzy transitions of codon/non-codon sections.

Online publication date: Sat, 24-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com