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The Comparative Toxicogenomics Database: update 2013
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 int...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531134/ https://www.ncbi.nlm.nih.gov/pubmed/23093600 http://dx.doi.org/10.1093/nar/gks994 |
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author | Davis, Allan Peter Murphy, Cynthia Grondin Johnson, Robin Lay, Jean M. Lennon-Hopkins, Kelley Saraceni-Richards, Cynthia Sciaky, Daniela King, Benjamin L. Rosenstein, Michael C. Wiegers, Thomas C. Mattingly, Carolyn J. |
author_facet | Davis, Allan Peter Murphy, Cynthia Grondin Johnson, Robin Lay, Jean M. Lennon-Hopkins, Kelley Saraceni-Richards, Cynthia Sciaky, Daniela King, Benjamin L. Rosenstein, Michael C. Wiegers, Thomas C. Mattingly, Carolyn J. |
author_sort | Davis, Allan Peter |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3531134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311342013-03-07 The Comparative Toxicogenomics Database: update 2013 Davis, Allan Peter Murphy, Cynthia Grondin Johnson, Robin Lay, Jean M. Lennon-Hopkins, Kelley Saraceni-Richards, Cynthia Sciaky, Daniela King, Benjamin L. Rosenstein, Michael C. Wiegers, Thomas C. Mattingly, Carolyn J. Nucleic Acids Res Articles 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. Oxford University Press 2013-01 2012-10-23 /pmc/articles/PMC3531134/ /pubmed/23093600 http://dx.doi.org/10.1093/nar/gks994 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 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. |
spellingShingle | Articles Davis, Allan Peter Murphy, Cynthia Grondin Johnson, Robin Lay, Jean M. Lennon-Hopkins, Kelley Saraceni-Richards, Cynthia Sciaky, Daniela King, Benjamin L. Rosenstein, Michael C. Wiegers, Thomas C. Mattingly, Carolyn J. The Comparative Toxicogenomics Database: update 2013 |
title | The Comparative Toxicogenomics Database: update 2013 |
title_full | The Comparative Toxicogenomics Database: update 2013 |
title_fullStr | The Comparative Toxicogenomics Database: update 2013 |
title_full_unstemmed | The Comparative Toxicogenomics Database: update 2013 |
title_short | The Comparative Toxicogenomics Database: update 2013 |
title_sort | comparative toxicogenomics database: update 2013 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531134/ https://www.ncbi.nlm.nih.gov/pubmed/23093600 http://dx.doi.org/10.1093/nar/gks994 |
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