Journal Papers 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 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 paper we present a survey on the progresses of such parallelization efforts describing the most promising results so far obtained.

Paper Details


P. Ballarini,  R. Guido,  T. Mazza,  D. Prandi


Briefings in Bioinformatics, 10, , 278-288