The Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Nucleic Acids Res. 2013 Jan;41(Database issue):D553-60. doi: 10.1093/nar/gks1244. Epub 2012 Nov 28.
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.
疾病和基因注释数据库(DGA,http://dga.nubic.northwestern.edu)是一项合作努力,旨在通过整合可计算的疾病本体论(DO 版本 3 修订版 2510,其中包含 8043 种遗传性、发育性和获得性人类疾病)、NCBI 基因参考到功能(GeneRIF)和分子相互作用网络(MIN)中的受控词汇,在疾病网络背景下为人类基因提供全面综合的注释。DGA 使用语义映射将这些资源集成在一起,构建了一套综合的疾病-基因和基因-基因关系集,基于当前知识具有出色的覆盖范围。DGA 通过定期重新解析 DO、GeneRIF 和 MIN 来保持最新。DGA 提供了一个用户友好的交互式网络界面系统,使用户能够高效地查询、下载和可视化 DO 树结构和注释,包括作为树、网络图或表格列表。为了促进综合分析,DGA 提供了一个 Web 服务应用程序编程接口,用于与外部分析工具集成。