Taming the complexity of biological pathways through parallel computing.
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.
Ballarini
Paolo
P
The Microsoft Research - University of Trento Centre for Computational and Systems Biology, Piazza Manci 17 38100 Povo, Trento, Italy. ballarini@cosbi.eu
Guido
Rosita
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Mazza
Tommaso
T
Prandi
Davide
D