Integrative Systems Biology

The group’s research is aimed at understanding human disease at a molecular level. We are particularly interested in complex diseases such as cancer, diabetes or cardiovascular syndromes; these diseases are defined by their own polygenic aetiology where multiple genes in coordination drive the onset of the disease.

 
Our approach is to study pathways and protein complexes to explain how genetic changes lead to altered phenotypes. Intracellular networks of genes, proteins, metabolites and other small molecules regulate cellular behaviour and perturbations to these regulatory systems are often behind human disease.

Our research strategies typically rely on the integration of massive amounts of experimental data from the growing fields of genomics (NGS), transcriptomics (bulk and single-cell RNAseq) and/or proteomics. We integrate these distinct layers of information in a systemic (cell-centric) approach using state-of-the-art deep machine learning approaches.

Group member profiles from recent years

The individuals in the group have a strong biological/medical or computational background. High-performance computing and infrastructure efforts (e.g. with ELIXIR) are also focus areas.

Research project profiles in recent years

The project profiles can be placed on a space spanned by bioinformatics, systems biology, medical informatics and computational biology. The group has extensive collaboration nationally and internationally.