Computational and Systems Biology

computational science

Living systems are dynamic and complex, and their behavior may be hard to predict from the properties of individual parts. In particular, biochemical interaction networks may give rise to unexpected properties in the presence of complex interconnections and feedbacks between the genes, proteins, and metabolites involved in these networks. Computational and systems biology analyses biochemical systems (such as networks of metabolites, proteins and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks) by using genomics, proteomics, and metabolomics data together with computational and mathematical tools, in order to understand their emergent properties due to complex connections among different cellular processes.

Relevant Labs: Coon, Craciun, Dvinge, Fox, Harrison, Kiley, Mosher.