Systems biology is often characterized as a data-driven science, and indeed typically one thinks of systems biology as employing high-throughput techniques to record the state of cellular systems or their response to perturbation. In terms of the traditional scientific method, the results of these high-throughput techniques represent the “observation” of the system under study, before the formation of specific hypotheses. Visualization techniques must take into account the exploratory nature of the analysis of high throughput data. During my talk, I’ll characterize exploratory vs. explanatory visualizations and give some examples of exploratory visualization techniques. I’ll end with an exploratory approach to a complicated visualization challenge.