The rise of genomics, the shift from considering genes singly to collectively, is adding a new dimension to medical care; biomedical researchers hope to use the information contained in human genomes to make better predictions about individual health, including responses to therapeutic drugs. A new computational tool developed through a collaboration between the University of Illinois and Mayo Clinic combines multiple types of genomic information to make stronger predictions about what genomic features are associated with specific drug responses.