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Determining conserved metabolic biomarkers from a million database queries
2015
Bioinformatics
Motivation: Metabolite databases provide a unique window into metabolome research allowing the most commonly searched biomarkers to be catalogued. Omic scale metabolite profiling, or metabolomics, is finding increased utility in biomarker discovery largely driven by improvements in analytical technologies and the concurrent developments in bioinformatics. However, the successful translation of biomarkers into clinical or biologically relevant indicators is limited. Results: With the aim of
doi:10.1093/bioinformatics/btv475
pmid:26275895
pmcid:PMC4836397
fatcat:7fck6fegnrcjhli7bjjvtzh3ty