Making sense of large amounts of molecular data

The advent of multiple new technologies for measuring many components in biological systems offers a huge opportunity and challenge for researchers. How to make sense of the mountains of data that describe different aspects of the same, or similar, biological systems. I will describe some approaches we are taking to this problem in terms of statistical methods and data mining, network and pathway analysis, and generation of testable biological hypotheses. I will discuss applications of these approaches to study host-pathogen interactions and cancer, and talk about future opportunities and challenges in this area.