Correlation Engine 2.0
Clear Search sequence regions


  • concepts (2)
  • databases (2)
  • humans (1)
  • link genes (1)
  • vocabulary (2)
  • Sizes of these terms reflect their relevance to your search.

    Progress in high-throughput genomic technologies has led to the development of a variety of resources that link genes to functional information contained in the biomedical literature. However, tools attempting to link small molecules to normal and diseased physiology and published data relevant to biologists and clinical investigators, are still lacking. With metabolomics rapidly emerging as a new omics field, the task of annotating small molecule metabolites becomes highly relevant. Our tool Metab2MeSH uses a statistical approach to reliably and automatically annotate compounds with concepts defined in Medical Subject Headings, and the National Library of Medicine's controlled vocabulary for biomedical concepts. These annotations provide links from compounds to biomedical literature and complement existing resources such as PubChem and the Human Metabolome Database.

    Citation

    Maureen A Sartor, Alex Ade, Zach Wright, David States, Gilbert S Omenn, Brian Athey, Alla Karnovsky. Metab2MeSH: annotating compounds with medical subject headings. Bioinformatics (Oxford, England). 2012 May 15;28(10):1408-10

    Expand section icon Mesh Tags


    PMID: 22492643

    View Full Text