Biochemists have developed powerful analysis tools to automatically process genetic and other biomolecular data, but their ability to explore and visualize the data on the fly has long been lacking. Data visualization framework StratomeX aims to solve this problem by letting users compare different arrangements of the same dataset to reveal potential correlations. For example, users could compare a genetic data set grouped by patients’ gene expressions with the same data set grouped by patient symptoms in order to quickly see how many patients with certain gene expressions exhibited certain symptoms. Its creators hope it can help researchers more easily identify subtypes of diseases to facilitate new targeted therapies. StratomeX was jointly developed by Harvard University and two Austrian universities, and is available in open source online.