Systems biology guided by XCMS Online metabolomics

Huan, Tao and Forsberg, Erica M and Rinehart, Duane and Johnson, Caroline H and Ivanisevic, Julijana and Benton, H Paul and Fang, Mingliang and Aisporna, Aries and Hilmers, Brian and Poole, Farris L and Thorgersen, Michael P and Adams, Michael W W and Krantz, Gregory and Fields, Matthew W and Robbins, Paul D and Neidernhofer, Laura J and Ideker, Trey and Majumder, Erica L and Wall, Judy D and Rattray, Nicholas J W and Goodacre, Roy and Lairson, Luke L and Siuzdak, Gary (2017) Systems biology guided by XCMS Online metabolomics. Nature Methods, 14 (5). pp. 461-462. ISSN 1548-7091

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    Abstract

    An aim of systems biology is to understand complex interactions between genes, proteins and metabolites by integrating and modeling multiple data sources. We report an 'integrated-omics' approach within XCMS Online1 that automatically superimposes raw metabolomic data onto metabolic pathways and integrates it with transcriptomic and proteomic data (http://XCMSOnline.scripps.edu/).