Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets.

•Statistics has become a commodity and serves as entry into data interpretation.•Metabolic pathway databases are incomplete and disagree on pathway definitions.•Metabolite set enrichment analysis can be independent of background databases.•Network graph based approaches can include unknown metabolites into interpretation.•Automated text mining extends the interpretation to include biological contexts.