Welcome to the Computational Systems Biology & Bioinformatics group at the University of Edinburgh.

We are mainly focused on temporal and static modelling of biological processes. Our key emphasis is to link diverse data and models tightly, through multiple iterations, ranging from static ab initio models to highly constrained, kinetic models that cross multiple scales. This continuum of modelling approaches reflects the realistic evolution of a systems-level approach to any and all biological problems. Applications proven successful in other disciplines will be tailored to biological processes to tackle current Systems Biology challenges.

Our main projects include:

Edinburgh Pathway Editor A tool for creation, visualization, verification, analysis and sharing of biological networks from wide variety domains of modern systems biology.

High quality metabolic network reconstruction

Biological networks visualisation and development of unified system of symbols for unambiguous representation of signalling, metabolic and gene expression pathways

Unravelling macrophage signalling networks: tumour necrosis factor receptor (TNFR) signalling

Whole genome mathematical model of Mycobacterium tuberculosis

Modeling human breast cancer pathways

TaWeka: from biological web services to data mining

Bioenergy research - optimisation of bio-fuel cell devices, which uses the ability of some micro-organisms and enzymes to convert organic matter into electricity directly