Summary

The Scientific and Parallel Computing (SPC) group develops new algorithms and methods to better understand and/or predict various phenomena in Biology.
 

Introduction

With ever increasing speed and memory, computers have become a very powerful tool for the study of a vast range of scientific issues. The main objective of the SPC group is to develop new computational methods for solving scientific problems in various areas.
A core activity of the group is the modelling and simulation of complex systems using cellular automata and related methods. In bioinformatics, the objective is to develop advanced numerical methodology to extract knowledge from biological data.
 

Projects and Services

During the last few years, we have developed a methodology for multiscale problems and its application to the modeling of biomedial processes (e.g restenosis in coronary arteries and thrombosis in cerebral aneurysms).
Another field of reserach is the exploration of metabolic graphs to understand the relation between the structure of biochemical pathways and the genetic regulation of the metabolism. Instead of focusing only on graph topology, we also exploit chemical information to find reaction communities, using the extreme pathways approach.
 

Websites for Further Information

Scientific and Parallel Computing Group http://cui.unige.ch/~chopard/