Journal Papers 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 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

Authors

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

Publication

Briefings in Bioinformatics, 10, , 278-288

Download

/var/papers/PP/PP-0005-2009.pdf

Language

English
.