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The disease and gene annotations (DGA): an annotation resource for human disease

Disease and Gene Annotations database (DGA, http://dga.nubic.northwestern.edu) is a collaborative effort aiming to provide a comprehensive and integrative annotation of the human genes in disease network context by integrating computable controlled vocabulary of the Disease Ontology (DO version 3 re...

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Autores principales: Peng, Kai, Xu, Wei, Zheng, Jianyong, Huang, Kegui, Wang, Huisong, Tong, Jiansong, Lin, Zhifeng, Liu, Jun, Cheng, Wenqing, Fu, Dong, Du, Pan, Kibbe, Warren A., Lin, Simon M., Xia, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531051/
https://www.ncbi.nlm.nih.gov/pubmed/23197658
http://dx.doi.org/10.1093/nar/gks1244
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author Peng, Kai
Xu, Wei
Zheng, Jianyong
Huang, Kegui
Wang, Huisong
Tong, Jiansong
Lin, Zhifeng
Liu, Jun
Cheng, Wenqing
Fu, Dong
Du, Pan
Kibbe, Warren A.
Lin, Simon M.
Xia, Tian
author_facet Peng, Kai
Xu, Wei
Zheng, Jianyong
Huang, Kegui
Wang, Huisong
Tong, Jiansong
Lin, Zhifeng
Liu, Jun
Cheng, Wenqing
Fu, Dong
Du, Pan
Kibbe, Warren A.
Lin, Simon M.
Xia, Tian
author_sort Peng, Kai
collection PubMed
description Disease and Gene Annotations database (DGA, http://dga.nubic.northwestern.edu) is a collaborative effort aiming to provide a comprehensive and integrative annotation of the human genes in disease network context by integrating computable controlled vocabulary of the Disease Ontology (DO version 3 revision 2510, which has 8043 inherited, developmental and acquired human diseases), NCBI Gene Reference Into Function (GeneRIF) and molecular interaction network (MIN). DGA integrates these resources together using semantic mappings to build an integrative set of disease-to-gene and gene-to-gene relationships with excellent coverage based on current knowledge. DGA is kept current by periodically reparsing DO, GeneRIF, and MINs. DGA provides a user-friendly and interactive web interface system enabling users to efficiently query, download and visualize the DO tree structure and annotations as a tree, a network graph or a tabular list. To facilitate integrative analysis, DGA provides a web service Application Programming Interface for integration with external analytic tools.
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spelling pubmed-35310512013-01-03 The disease and gene annotations (DGA): an annotation resource for human disease Peng, Kai Xu, Wei Zheng, Jianyong Huang, Kegui Wang, Huisong Tong, Jiansong Lin, Zhifeng Liu, Jun Cheng, Wenqing Fu, Dong Du, Pan Kibbe, Warren A. Lin, Simon M. Xia, Tian Nucleic Acids Res Articles Disease and Gene Annotations database (DGA, http://dga.nubic.northwestern.edu) is a collaborative effort aiming to provide a comprehensive and integrative annotation of the human genes in disease network context by integrating computable controlled vocabulary of the Disease Ontology (DO version 3 revision 2510, which has 8043 inherited, developmental and acquired human diseases), NCBI Gene Reference Into Function (GeneRIF) and molecular interaction network (MIN). DGA integrates these resources together using semantic mappings to build an integrative set of disease-to-gene and gene-to-gene relationships with excellent coverage based on current knowledge. DGA is kept current by periodically reparsing DO, GeneRIF, and MINs. DGA provides a user-friendly and interactive web interface system enabling users to efficiently query, download and visualize the DO tree structure and annotations as a tree, a network graph or a tabular list. To facilitate integrative analysis, DGA provides a web service Application Programming Interface for integration with external analytic tools. Oxford University Press 2013-01 2012-11-28 /pmc/articles/PMC3531051/ /pubmed/23197658 http://dx.doi.org/10.1093/nar/gks1244 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
Peng, Kai
Xu, Wei
Zheng, Jianyong
Huang, Kegui
Wang, Huisong
Tong, Jiansong
Lin, Zhifeng
Liu, Jun
Cheng, Wenqing
Fu, Dong
Du, Pan
Kibbe, Warren A.
Lin, Simon M.
Xia, Tian
The disease and gene annotations (DGA): an annotation resource for human disease
title The disease and gene annotations (DGA): an annotation resource for human disease
title_full The disease and gene annotations (DGA): an annotation resource for human disease
title_fullStr The disease and gene annotations (DGA): an annotation resource for human disease
title_full_unstemmed The disease and gene annotations (DGA): an annotation resource for human disease
title_short The disease and gene annotations (DGA): an annotation resource for human disease
title_sort disease and gene annotations (dga): an annotation resource for human disease
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531051/
https://www.ncbi.nlm.nih.gov/pubmed/23197658
http://dx.doi.org/10.1093/nar/gks1244
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