title: Taming the complexity of biological pathways through parallel computing.
abstract: Biological systems are characterised by a large number of interacting entities whose dynamics is described by a number of reaction equations. Mathematical methods for modelling biological systems are mostly based on a centralised solution approach: the modelled system is described as a whole and the solution technique, normally the integration of a system of ordinary differential equations (ODEs) or the simulation of a stochastic model, is commonly computed in a centralised fashion. In recent times, research efforts moved towards the definition of parallel/distributed algorithms as a means to tackle the complexity of biological models analysis. In this article, we present a survey on the progresses of such parallelisation efforts describing the most promising results so far obtained.
authors.affiliation: The Microsoft Research - University of Trento Centre for Computational and Systems Biology, Piazza Manci 17 38100 Povo, Trento, Italy. ballarini@cosbi.eu
authors.forename: Paolo
authors.initials: P
authors.lastname: Ballarini
authors.forename: Rosita
authors.initials: R
authors.lastname: Guido
authors.forename: Tommaso
authors.initials: T
authors.lastname: Mazza
authors.forename: Davide
authors.initials: D
authors.lastname: Prandi