Influenza Pandemic Early Warning Research on HA/NA Protein Sequences

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)


Volume 11, 5 Issues, 2016


Download PDF Flyer




Current Bioinformatics

Aims & ScopeAbstracted/Indexed in


Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Yi-Ping Phoebe Chen
Department of Computer Science and Information Technology
La Trobe University
Melbourne
Australia


View Full Editorial Board

Subscribe Purchase Articles Order Reprints

Current: 0.921
5 - Year: 1.045

Influenza Pandemic Early Warning Research on HA/NA Protein Sequences



Current Bioinformatics, 9(3): 228-233.

Author(s): Jie Gao, Ling Zhang and Peixuan Jin.

Affiliation: School of Science, Jiangnan University, Wuxi 214122, China.

Abstract

Using CGR-walk model, this paper studies influenza virus HA/NA protein sequences from 1914 to 2012, and figures out multiple early warning signal values of influenza pandemic outbreak. The variances and lag 2 autocorrelation coefficients of protein sequences obtained according to the detailed HP model of the epidemic outbreak years and the last two years are significantly higher than those of the last adjacent years, while there is not the feature in the non-epidemic years.

Keywords:

CGR (chaos game representation)-walk model, early warning signal values, influenza virus HA/NA protein sequences.



Purchase Online Order Reprints Order Eprints Rights and Permissions




Article Details

Volume: 9
Issue Number: 3
First Page: 228
Last Page: 233
Page Count: 6
DOI: 10.2174/1574893609999140523124205
Advertisement
Global Biotechnology Congress 2016Drug Discovery and Therapy World Congress 2016

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2016 Bentham Science