First SICSA Workshop on Biological Networks:
theory and applications

8th October 2010

Informatics Forum, Room G.03
University of Edinburgh
10 Crichton Street
Edinburgh EH8 9AB

The First SICSA Workshop on Biological Networks took place in Edinburgh on 8 October 2010, bringing together scientists across Scotland from different backgrounds with an interest in biological networks. With a programme of short presentations and break-out discussions, the aim was to provide an opportunity for researchers from informatics, biology, mathematics, physics, chemistry and other related disciplines to discuss current activities, progress and research opportunities in the area of computational and mathematical analysis of biological networks.

A workshop report, which includes a summary of the discussion session, is now available for download: Report

Some pictures are here.

Presentations and slides

Dirk Husmeier, Biomathematics & Statistics Scotland (BioSS)
Inferring gene regulatory networks with non-stationary dynamic Bayesian networks

Rainer Breitling, University of Glasgow
Inferring metabolic networks from high-accuracy metabolomics

Clare Lee, University of Strathclyde
Reordering multiple networks simultaneously

Ollivier Julien, McGill / University of Edinburgh
Scalable rule-based modelling of allosteric proteins and biochemical networks

Seymour Knowles-Barley, University of Edinburgh
Fruit Fly Brain Networks

Ernesto Estrada, University of Strathclyde
On heterogeneity of biological networks

Hongwu Ma, University of Edinburgh
A new method for the decomposition of biological networks

Emma Hart, Edinburgh Napier University
Topological constraints on the function of immune networks

Desmond Higham, University of Strathclyde
Computational Methods in Network Science

Derek Gatherer, University of Glasgow, MRC Centre for Virus Research
Modelling versus Realization: Rival Philosophies of Computational Theory in Systems Biology

Lecture by Anne Smith, University of St Andrews
Using Bayesian networks to explore complex biological systems: genes, brains, and ecosystems


Dr. Matthias Hennig (
Dr. Pierluigi Frisco