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Carolyn J. Mattingly

Researcher at North Carolina State University

Publications -  69
Citations -  6561

Carolyn J. Mattingly is an academic researcher from North Carolina State University. The author has contributed to research in topics: Environmental exposure & Toxicogenomics. The author has an hindex of 33, co-authored 67 publications receiving 4950 citations. Previous affiliations of Carolyn J. Mattingly include University of Manchester & University of Colorado Denver.

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The Comparative Toxicogenomics Database: update 2019.

TL;DR: This biennial update presents a new chemical–phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotype, taxa, and anatomical descriptors, and describes new querying and display features for the enhanced chemical–exposure science module, providing greater scope of content and utility.
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BioCreative V CDR task corpus: a resource for chemical disease relation extraction

TL;DR: The BC5CDR corpus was successfully used for the BioCreative V challenge tasks and should serve as a valuable resource for the text-mining research community.
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Comparative Toxicogenomics Database (CTD): update 2021.

TL;DR: This biennial update of the public Comparative Toxicogenomics Database (CTD) reports a 20% increase in CTD curated content and provides 45 million toxicogenomic relationships and introduces new CTD Anatomy pages that allow users to uniquely explore and analyze chemical–phenotype interactions from an anatomical perspective.
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The Comparative Toxicogenomics Database: update 2017

TL;DR: This update describes the new exposure module (that harmonizes exposure science information with core toxicogenomic data) and introduces a novel dataset of GO-disease inferences (that identify common molecular underpinnings for seemingly unrelated pathologies).
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The Comparative Toxicogenomics Database: update 2013

TL;DR: The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) provides information about interactions between environmental chemicals and gene products and their relationships to diseases as discussed by the authors, which can help users generate testable hypotheses about the molecular mechanisms of environmental diseases.