Metabolomics may be seen as the runty younger sibling in the ’omics family, but it is starting to come into its own. As its older sisters — genomics, proteomics, and transcriptomics — experienced in years past, this field is undergoing an explosion of interest with new tools and technologies. And with those tools, of course, comes a flood of new data. Learning from the problems that cropped up in earlier large-scale biology disciplines, metabolomics scientists are trying to develop ways to generate, standardize, interpret, and apply metabolomic data.