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Since the completion of genome sequences of model organisms, functionalidentification of unknown genes has become a principal challenge in biology.Post-genomics sciences such as transcriptomics, proteomics, and metabolomicsare expected to discover gene functions. This report outlines the elucidationof gene-to-gene and metabolite-to-gene networks via integration ofmetabolomics with transcriptomics and presents a strategy for theidentification of novel gene functions. Metabolomics and transcriptomics dataof Arabidopsis grown under sulfur deficiency were combined andanalyzed by batch-learning self-organizing mapping. A group ofmetabolites/genes regulated by the same mechanism clustered together. Themetabolism of glucosinolates was shown to be coordinately regulated. Threeuncharacterized putative sulfotransferase genes clustering together with knownglucosinolate biosynthesis genes were …