Open access peer-reviewed chapter

Predicting Virus Evolution

By Tom Burr

Submitted: November 3rd 2010Reviewed: May 8th 2011Published: November 2nd 2011

DOI: 10.5772/19520

Downloaded: 1716

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Tom Burr (November 2nd 2011). Predicting Virus Evolution, Bioinformatics - Trends and Methodologies, Mahmood A. Mahdavi, IntechOpen, DOI: 10.5772/19520. Available from:

chapter statistics

1716total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

A Bioinformatical Approach to Study the Endosomal Sorting Complex Required for Transport (ESCRT) Machinery in Protozoan Parasites: The Entamoeba histolytica Case

By Israel López-Reyes, Cecilia Bañuelos, Abigail Betanzos and Esther Orozco

Related Book

First chapter

An Adaptive Fuzzy Neural Network Based on Self-Organizing Map (SOM)

By Jun-fei Qiao and Hong-gui Han

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us