We study the organization and evolution of biological systems using computational biology and bioinformatics techniques. We seek to accurately predict links, such as specific molecular interactions, in eukaryotic cell signaling systems using comprehensive genomics data like genome sequence and transcript profiles. We are interested to find how these links are rewired by mutations to cause disease. This work is supported through the development of open-source biological pathway and network databases and visualization and analysis software.
Predicting biologically relevant protein interactions
Cellular network evolution
Detection of cell type and stage active biological processes using molecular profiles
Biological pathway and network databases and analysis tools

Link @ http://baderlab.org/

PI Gary Bader