ஜர்னல் ஆஃப் கம்ப்யூட்டர் சயின்ஸ் & சிஸ்டம்ஸ் பயாலஜி

Influenza Classification from Nucleotide Sequence Database

Abstract

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

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.