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 1548-7105 (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/).

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• Item metadata

  Item type:	Article
  ID code:	71976
  Dates:	Date Event 27 April 2017 Published 2 March 2017 Accepted
  Subjects:	Medicine > Pharmacy and materia medica
  Department:	Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
  Depositing user:	Pure Administrator
  Date deposited:	06 Apr 2020 11:50
  Last modified:	09 Apr 2024 00:22
  Related URLs:	https://www.research.manchester.ac.uk/po...
  URI:	https://strathprints.strath.ac.uk/id/eprint/71976