Computational Functional Genomics or "What to do with all this Data?"

Olga Troyanskaya

Computer Science & Lewis Sigler Institute, Princeton University

Assigning protein function and modeling their interactions in biological networks is a key challenge in modern systems biology. Broad availability of diverse functional genomic data such as microarray and protein interaction studies should enable fast and accurate generation of functional predictions and network models through computational prediction and experimental validation. However, these data remain vastly underutilized due to their biological and experimental diversity, high noise levels, and computational and semantic complexity. I will discuss challenges and offer some computational solutions in extracting from these functional genomic data biological knowledge about protein function, regulation, and interactions.