Systems biology guided by XCMS Online metabolomics

Tools

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 1548-7105 (https://doi.org/10.1038/nmeth.4260)

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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/).

ORCID iDs

Huan, Tao, Forsberg, Erica M, Rinehart, Duane, Johnson, Caroline H, Ivanisevic, Julijana, Benton, H Paul, Fang, Mingliang, Aisporna, Aries, Hilmers, Brian, Poole, Farris L, Thorgersen, Michael P, Adams, Michael W W, Krantz, Gregory, Fields, Matthew W, Robbins, Paul D, Neidernhofer, Laura J, Ideker, Trey, Majumder, Erica L, Wall, Judy D, Rattray, Nicholas J W ORCID logoORCID: https://orcid.org/0000-0002-3528-6905, Goodacre, Roy, Lairson, Luke L and Siuzdak, Gary;
CORE (COnnecting REpositories)