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Bioinformatics
Article . 2012 . Peer-reviewed
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Bioinformatics
Article
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Bioinformatics
Article . 2012
DBLP
Article . 2020
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Metab2MeSH: annotating compounds with medical subject headings

Authors: Maureen A. Sartor; Alexander S. Ade; Zach Wright; David J. States; Gilbert S. Omenn; Brian D. Athey; Alla Karnovsky;

Metab2MeSH: annotating compounds with medical subject headings

Abstract

AbstractSummary: 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.Availability: http://metab2mesh.ncibi.orgContact: akarnovs@umich.eduSupplementary information: Supplementary data are available at Bioinformatics online.

Keywords

Medical Subject Headings, Vocabulary, Controlled, Neoplasms, Databases, Genetic, Humans, Metabolomics, Databases, Chemical

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
gold