Systems Biology Guided by XCMS Online Metabolomics

Tao Huan, Erica M. Forsberg, Duane Rinehart, Caroline H. Johnson, Julijana Ivanisevic, H. Paul Benton, Mingliang Fang, Aries Aisporna, Brian Hilmers, Farris L. Poole, Michael P. Thorgersen, Michael W. W. Adams, Gregory Krantz, Matthew W. Fields, Paul Robbins, Laura J. Niedernhofer, Trey Ideker, Erica L. Majumder, Judy D. Wall, Nicholas RattrayRoyston Goodacre, Luke Lairson, Gary Siuzdak

    Research output: Contribution to journalArticlepeer-review

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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.
    Original languageEnglish
    Pages (from-to)461-462
    Number of pages2
    JournalNature Methods
    Volume14
    Early online date27 Apr 2017
    DOIs
    Publication statusPublished - 27 Apr 2017

    Research Beacons, Institutes and Platforms

    • Manchester Institute of Biotechnology

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