Contrary to the reductionist approach aimed at understanding individual components, the new data revolution allows the understanding of complicated interactions and  pathways through the use of statistical Data Mining/Machine-Learning techniques. This is an active area of research in computer science with the increasing availability of big data collections of all sorts prompting interest in the development of novel tools for data mining. It is expected that continuous improvement of software infrastructure will make ML applicable to a growing range of biological problems.