title: A hybrid machine model of rice blast fungus, Magnaporthe grisea.
abstract: The fungus, Magnaporthe grisea (Rice blast fungus) is a major agricultural problem affecting rice and related food crops. The way that the fungus invades the host plant and propagates itself is a very important scientific problem and recent advances in research into the genetic basis of these processes can be used to build a simple partial model using hybrid computational modelling techniques. The possible potential benefits of doing this include the use of computer simulation and automated analysis through techniques such as model checking to understand the complex behaviour of such systems. The example is a metaphor for the process of trying to integrate and understand much of the vast amounts of genomic and other data that is being produced in current molecular biology research.
authors.affiliation: Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK. m.holcombe@des.shef.ac.uk
authors.forename: Mike
authors.initials: M
authors.lastname: Holcombe
authors.forename: Lucy
authors.initials: L
authors.lastname: Holcombe
authors.forename: Marian
authors.initials: M
authors.lastname: Gheorghe
authors.forename: Nick
authors.initials: N
authors.lastname: Talbot
mesh_terms: D020082:Magnaporthe / Q000502:physiology*; D008954:Models, Biological; D012275:Oryza / Q000382:microbiology*; D013172:Spores, Fungal