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Pandemic (H1N1) 2009 Cluster Analysis: A Preliminary Assessment

Charles Wick¹, Michael Stanford², Rabih Jabbour³, Samir Deshpande⁴, Patrick McCubbin⁵, Evan Skowronski² & Alan Zulich⁶

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1. Edgewood Chemical Biological Center, Research and Development
2. US Army Edgewood Chemical Biological Center, Research and Technology
3. SAIC,
4. Science and Technology Corporation,
5. OptiMetrics, Inc.,
6. U.S. Army, Edgewood Chemical Biological Center, Research and Technology

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Document Type:

Manuscript

Date:

Received 16 September 2009 20:24 UTC; Posted 16 September 2009

Subjects:

Genetics & Genomics, Microbiology, Bioinformatics

Tags:

• H1N1 2009
• Cluster Analysis
• bioinformatics

Abstract:

Pandemic (H1N1) 2009 virus has been causing major concerns around the world because of its epidemic potential, rapid dissemination, rate of mutations, and the number of fatalities. One way to gain an advantage over this virus is to use existing rapid bioinformatics tools to examine easily and inexpensively generated genetic sequencing data. We have used the protein sequences deposited with the National Center for Biotechnology Information (NCBI) for data mining to study the relationship among the Pandemic (H1N1) 2009 proteins. There are 11 proteins in the Pandemic (H1N1) 2009 virus, and analysis of sequences from 65 different locations around the globe has resulted in two major clusters. These clusters illustrate the Pandemic H1N1 2009 virus is already experiencing significant genetic drift and that rapid worldwide travel is affecting the distribution of genetically distinct isolates.

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This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Wick, Charles, Stanford, Michael, Jabbour, Rabih, Deshpande, Samir, McCubbin, Patrick, Skowronski, Evan, and Zulich, Alan. Pandemic (H1N1) 2009 Cluster Analysis: A Preliminary Assessment. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3773.1> (2009)

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