Windram, Oliver P., Penfold, Christopher A. and Denby, Katherine J. (2014) Network modeling to understand plant immunity. Annual Review of Phytopathology, Volume 52 (Number 1). pp. 93-111. doi:10.1146/annurev-phyto-102313-050103 ISSN 0066-4286.

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Abstract

Deciphering the networks that underpin complex biological processes using experimental data remains a significant, but promising, challenge, a task made all the harder by the added complexity of host-pathogen interactions. The aim of this article is to review the progress in understanding plant immunity made so far by applying network modeling algorithms and to show how this computational/mathematical strategy is facilitating a systems view of plant defense. We review the different types of network modeling that have been used, the data required, and the type of insight that such modeling can provide. We discuss the current challenges in modeling the regulatory networks that underlie plant defense and the future developments that may help address these challenges.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Journal or Publication Title:	Annual Review of Phytopathology
Publisher:	Annual Reviews
ISSN:	0066-4286
Official Date:	August 2014
Dates:	Date Event August 2014 Published 4 May 2014 Available
Volume:	Volume 52
Number:	Number 1
Page Range:	pp. 93-111
DOI:	10.1146/annurev-phyto-102313-050103
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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