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Journal of Computer Science & Systems Biology
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Research Article

Influenza Classification from Nucleotide Sequence Database

Annavarapu Chandra Sekhara Rao* and Durvasula V. L. N. Somayajulu

Faculty of science, Department of Computer Science and Engineering, NIT Warangal, India

*Corresponding Author:
Dr. Annavarapu Chandra Sekhara Rao
Faculty of science
Department of Computer science and Engineering
NIT Warangal, India
E-mail: [email protected]

Received date: April 27, 2011; Accepted date: November 22, 2011; Published date: November 26, 2011

Citation: Chandra Sekhara Rao A, Somayajulu DVLN (2011) Influenza Classification from Nucleotide Sequence Database. J Comput Sci Syst Biol 4:077-080. doi:10.4172/jcsb.1000079

Copyright: © 2011 Chandra Sekhara Rao A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In response to the wide spread of influenza H1N1, a number of alerts were issued by World Health Organization (WHO) in the form of Global Alert and Response updates [3]. Even though there is quick response in the form of alerts exists, the absence of suitable resources makes the task of the research organizations more difficult, which says there is an immediate need to provide a viable solution for reducing this gap. This also suggests Pandemic Preparedness under the Rule of International Law. A frame work is introduced to classify and construct a influenza database which is also called Influenza resource database, Data collection was especially done at Genbank, DDBJ and EMBL then Least formalized selections were Normalized and added to original collection for Classification and construction of unique local database. Classification of Influenza A was done with the RNA segmentation approach. Classification of Influenza B and Influenza C need a specific field of the database for classifying it.

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