Paper Info
Title
Grid computing for sensitivity analysis of stochastic biological models
Abstract
Systems biology is a multidisciplinary research area aimed at investigating biological systems by developing mathematical models that approach the study and the analysis of both the structure and behaviour of a biological phenomenon from a system perspective. The dynamics described by such mathematical models can be deeply affected by many parameters, and an extensive exploration of the parameters space in order to find crucial factors is most of the time prohibitive since it requires the execution of a huge number of computer simulations. Sensitivity analysis techniques can help in understanding how much the uncertainty in the model outcome is determined by the uncertainties, or by the variations, of the model input factors (components, reactions and respective parameters). In this work we exploit the European Grid Infrastructure to manage the calculations required to perform the SA on a stochastic model of bacterial chemotaxis, using an improved version of the first order screening method of Morris. According to the results achieved in our exploratory analysis, the European Grid Infrastructure is a useful solution for distributing the stochastic simulations required to carry out the SA of a stochastic model. Considering that the more intensive the computation the more scalable the infrastructure, grid computing can be a suitable technology for large scale biological models analysis.
Year
Venue
Keywords
2011
PACT
model input factor,stochastic biological model,grid computing,model outcome,biological phenomenon,biological models analysis,sensitivity analysis technique,mathematical model,biological system,exploratory analysis,european grid infrastructure,stochastic model
Field
DocType
Volume
Stochastic simulation,Grid computing,Computer science,Exploit,Stochastic modelling,Mathematical model,Grid,Scalability,Distributed computing,Computation
Conference
6873
ISSN
Citations 
PageRank 
0302-9743
2
0.47
References 
Authors
8
7
Name
Order
Citations
PageRank
Ivan Merelli129435.36
Dario Pescini227425.92
Ettore Mosca311911.01
Paolo Cazzaniga423527.16
Carlo Maj5142.90
Giancarlo Mauri62106297.38
Luciano Milanesi782387.40