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Human Disease Ontology 2018 update: classification content and workflow expansion

机译:人类疾病本体论2018更新:分类内容和工作流程扩展

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摘要

The Human Disease Ontology (DO) (), database has undergone significant expansion in the past three years. The DO disease classification includes specific formal semantic rules to express meaningful disease models and has expanded from a single asserted classification to include multiple-inferred mechanistic disease classifications, thus providing novel perspectives on related diseases. Expansion of disease terms, alternative anatomy, cell type and genetic disease classifications and workflow automation highlight the updates for the DO since 2015. The enhanced breadth and depth of the DO’s knowledgebase has expanded the DO’s utility for exploring the multi-etiology of human disease, thus improving the capture and communication of health-related data across biomedical databases, bioinformatics tools, genomic and cancer resources and demonstrated by a 6.6× growth in DO’s user community since 2015. The DO’s continual integration of human disease knowledge, evidenced by the more than 200 SVN/GitHub releases/revisions, since previously reported in our DO 2015 NAR paper, includes the addition of 2650 new disease terms, a 30% increase of textual definitions, and an expanding suite of disease classification hierarchies constructed through defined logical axioms.
机译:在过去三年中,人类疾病本体论(DO)数据库已经得到了极大的扩展。 DO疾病分类包括用于表达有意义的疾病模型的特定形式语义规则,并且已从单个主张的分类扩展到包括多个推断的机械疾病分类,从而为相关疾病提供了新颖的见解。自2015年以来,疾病术语,替代解剖结构,细胞类型和遗传疾病分类以及工作流程自动化的扩展凸显了DO的更新。DO知识库的广度和深度增强,扩大了DO在探索人类疾病的多种病因学方面的效用,从而改善了跨生物医学数据库,生物信息学工具,基因组和癌症资源的健康相关数据的捕获和通信,并且自2015年以来DO的用户社区增长了6.6倍。DO不断整合人类疾病知识,这一点得到了证明。自从之前在我们的DO 2015 NAR论文中报告以来,已有200份SVN / GitHub版本/修订版,其中包括添加了2650个新疾病术语,文本定义增加了30%,以及通过定义的逻辑公理构建的疾病分类层次结构套件。

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