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.
Original language | English |
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Pages (from-to) | 278-288 |
Number of pages | 11 |
Journal | Briefings in Bioinformatics |
Volume | 10 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Biological pathways
- Model checking
- ODE numerical solutions
- Parallel computing
- Stochastic simulation
ASJC Scopus subject areas
- Molecular Biology
- Information Systems