Our group develops computational tools to discover causal paths in complex diseases.
Our research is based on large datasets that characterize biological samples at different molecular and clinical levels, including molecular (e.g., transcriptomic, proteomic, and metabolomic) networks. Recently, gene expression data from single cells has started to give us even higher resolution.
By discovering causal paths, which sometimes differ between patients, we hope to better stratify, classify, predict, and treat, towards medicine that predicts and prevents instead of just reacting. We closely collaborate with biological, medical, and technology experts here at Institut Pasteur, and internationally.
Our group is probably best known for creating and developing Cytoscape, an open-source community platform to visualize and analyze molecular networks. It is continually developed and used around the world.
Since June 2018, researchgate.net has stated every month that “our research items were the most cited research items from their institution”.