The overarching goal of this CEGS is to interpret how human genomic variations affect local and global properties of cellular networks to induce disease.

The goals of CCSB are to understand how macromolecular networks control biological processes and accordingly how perturbations in such networks can explain human disease. Within the CEGS the role of the CCSB is to map and interpret edgetic interactions. Also, as the central CEGS PI Dr. Vidal coordinates the efforts of all other CEGS investigators.
Vidal M, Cusick ME & Barabási AL, Interactome networks and human disease. Cell 2011

 Albert-László Barabási
The researchers at the CCNR investigate how networks emerge, what networks look like, how networks evolve, and how networks provide explanations into the behavior of complex systems. They contribute to the CEGS by leveraging their expertise in network analysis to provide insight into the properties of cellular networks and what network perturbations reveal about the molecular mechanisms of human disease.
Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet 2011

Fritz Roth
The computational and experimental biology groups led by Dr. Roth share the goal of designing and interpreting large-scale experiments to comprehend pathway structure and its relationship to phenotype and human disease. Their expertise in all aspects of computational biology contributes to the CEGS by providing biological insight into human disease networks.
Tasan M et al, A resource of quantitative functional annotation for Homo sapiens genes. Genes Genomes Genet 2012

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