Computational Approaches for Visualization and Integration of Omics Data

The past decade has seen the introduction of several new high-throughput technologies leading to a massive surge in the amount of biological data collected and available to the scientific community. The generation of high-throughput data is quickly outpacing the capacity to store the data, much less visualize, analyze, and interpret the data. Coincident with the increase in Omic data, the need for tools to visualize and analyze the data have arisen. In this chapter, we discuss the Omics data that is publicly available and focus on approaches for integrating and analyzing the data in order to understand the underlying biology and form actionable hypotheses. We provide the reader with the sources and tools available to mine and visualize the experimental Omic data and draw hypotheses based on unbiased network and pathway analysis of the data.