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 D Robbins, Laura J Neidernhofer, Trey Ideker, Erica L Majumder, Judy D Wall, Nicholas J W RattrayRoy Goodacre, Luke L Lairson, Gary Siuzdak

Research output: Contribution to journalLetterpeer-review

154 Citations (Scopus)
42 Downloads (Pure)

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/).
Original languageEnglish
Pages (from-to)461-462
Number of pages2
JournalNature Methods
Volume14
Issue number5
DOIs
Publication statusPublished - 27 Apr 2017

Keywords

  • metabolomic data
  • metabolic pathways
  • proteomic data

Fingerprint

Dive into the research topics of 'Systems biology guided by XCMS Online metabolomics'. Together they form a unique fingerprint.

Cite this