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Influenza differentiation and evolution
Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg.
University of Cambridge.
University of Cambridge.
2010 (English)In: Acta Physica Polonica B Proceedings Supplement, 2010, Vol. 3, 417-452 p.Conference paper (Refereed)
Abstract [en]

The aim of the study is to do a very wide analysis of HA, NA and M influenza gene segments to find short nucleotide regions,which differentiate between strains (i.e. H1, H2, ... e.t.c.), hosts, geographic regions, time when sequence was found and combination of time and region using a simple methodology. Finding regions  differentiating between strains has as its goal the construction of a Luminex microarray which will allow quick and efficient strain recognition. Discovery for the other splitting factors could shed lighton structures significant for host specificity and on the history of influenza evolution. A large number of places in the HA, NA and M gene segments were found that can differentiate between hosts, regions, time and combination of time and region. Also very good differentiation between different Hx strains can be seen.We link one of our findings to a proposed stochastic model of creation of viral phylogenetic trees.

Place, publisher, year, edition, pages
2010. Vol. 3, 417-452 p.
National Category
Bioinformatics (Computational Biology) Probability Theory and Statistics
Research subject
Bioinformatics; Mathematical Statistics; Statistics
URN: urn:nbn:se:uu:diva-241885OAI: oai:DiVA.org:uu-241885DiVA: diva2:781849
Summer Solstice 2009 International Conference on Discrete Models of Complex Systems
Available from: 2015-01-19 Created: 2015-01-19 Last updated: 2015-01-26

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Bartoszek, Krzysztof
Bioinformatics (Computational Biology)Probability Theory and Statistics

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