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      The Comparative Toxicogenomics Database: update 2013

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          Abstract

          The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) provides information about interactions between environmental chemicals and gene products and their relationships to diseases. Chemical–gene, chemical–disease and gene–disease interactions manually curated from the literature are integrated to generate expanded networks and predict many novel associations between different data types. CTD now contains over 15 million toxicogenomic relationships. To navigate this sea of data, we added several new features, including DiseaseComps (which finds comparable diseases that share toxicogenomic profiles), statistical scoring for inferred gene–disease and pathway–chemical relationships, filtering options for several tools to refine user analysis and our new Gene Set Enricher (which provides biological annotations that are enriched for gene sets). To improve data visualization, we added a Cytoscape Web view to our ChemComps feature, included color-coded interactions and created a ‘slim list’ for our MEDIC disease vocabulary (allowing diseases to be grouped for meta-analysis, visualization and better data management). CTD continues to promote interoperability with external databases by providing content and cross-links to their sites. Together, this wealth of expanded chemical–gene–disease data, combined with novel ways to analyze and view content, continues to help users generate testable hypotheses about the molecular mechanisms of environmental diseases.

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          Author and article information

          Journal
          Nucleic Acids Res
          Nucleic Acids Res
          nar
          nar
          Nucleic Acids Research
          Oxford University Press
          0305-1048
          1362-4962
          January 2013
          23 October 2012
          23 October 2012
          : 41
          : Database issue , Database issue
          : D1104-D1114
          Affiliations
          1Department of Biology, North Carolina State University, Raleigh, NC 27695-7617 and 2Department of Bioinformatics, The Mount Desert Island Biological Laboratory, Salisbury Cove, ME 04672, USA
          Author notes
          *To whom correspondence should be addressed. Tel: +1 207 288 9880 (Ext. 128); Fax: +1 207 288 2130; Email: apdavis3@ 123456ncsu.edu
          Article
          gks994
          10.1093/nar/gks994
          3531134
          23093600
          f5a6ad5c-5f22-4053-8b18-90808277897d
          © The Author(s) 2012. Published by Oxford University Press.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.

          History
          : 17 August 2012
          : 28 September 2012
          : 29 September 2012
          Page count
          Pages: 11
          Categories
          Articles

          Genetics
          Genetics

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