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DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes

机译:DisGeNET:动态探索人类疾病及其基因的发现平台

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摘要

DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently available of its kind. DisGeNET integrates expert-curated databases with text-mined data, covers information on Mendelian and complex diseases, and includes data from animal disease models. It features a score based on the supporting evidence to prioritize gene-disease associations. It is an open access resource available through a web interface, a Cytoscape plugin and as a Semantic Web resource. The web interface supports user-friendly data exploration and navigation. DisGeNET data can also be analysed via the DisGeNET Cytoscape plugin, and enriched with the annotations of other plugins of this popular network analysis software suite. Finally, the information contained in DisGeNET can be expanded and complemented using Semantic Web technologies and linked to a variety of resources already present in the Linked Data cloud. Hence, DisGeNET offers one of the most comprehensive collections of human gene-disease associations and a valuable set of tools for investigating the molecular mechanisms underlying diseases of genetic origin, designed to fulfill the needs of different user profiles, including bioinformaticians, biologists and health-care practitioners. >Database URL:
机译:DisGeNET是一个全面的发现平台,旨在解决与人类疾病的遗传基础有关的各种问题。 DisGeNET包含1600多个基因与13 000种疾病之间的380 000种关联,这使其成为目前此类数据库中最大的存储库之一。 DisGeNET将专家管理的数据库与文本挖掘的数据集成在一起,涵盖有关孟德尔和复杂疾病的信息,并包括来自动物疾病模型的数据。它具有基于支持证据的得分,可以优先确定基因-疾病关联。它是可通过Web界面,Cytoscape插件以及作为语义Web资源使用的开放访问资源。 Web界面支持用户友好的数据浏览和导航。还可以通过DisGeNET Cytoscape插件来分析DisGeNET数据,并使用该流行的网络分析软件套件的其他插件的注释进行充实。最后,DisGeNET中包含的信息可以使用语义Web技术进行扩展和补充,并链接到Linked Data云中已经存在的各种资源。因此,DisGeNET提供了人类基因疾病关联性最全面的收藏之一,并提供了一套有价值的工具来研究遗传起源疾病的分子机制,旨在满足包括生物信息学家,生物学家和健康专家在内的不同用户需求。护理从业者。 >数据库网址:

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