Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 and Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Bioinformatics. 2014 May 1;30(9):1340-2. doi: 10.1093/bioinformatics/btu008. Epub 2014 Jan 9.
Biomedical ontologies are often very large and complex. Only a subset of the ontology may be needed for a specified application or community. For ontology end users, it is desirable to have community-based labels rather than the labels generated by ontology developers. Ontodog is a web-based system that can generate an ontology subset based on Excel input, and support generation of an ontology community view, which is defined as the whole or a subset of the source ontology with user-specified annotations including user-preferred labels. Ontodog allows users to easily generate community views with minimal ontology knowledge and no programming skills or installation required. Currently >100 ontologies including all OBO Foundry ontologies are available to generate the views based on user needs. We demonstrate the application of Ontodog for the generation of community views using the Ontology for Biomedical Investigations as the source ontology.
生物医学本体通常非常庞大和复杂。对于特定的应用程序或社区,可能只需要本体的一个子集。对于本体终端用户来说,他们希望拥有基于社区的标签,而不是本体开发人员生成的标签。Ontodog 是一个基于网络的系统,它可以根据 Excel 输入生成本体子集,并支持生成本体社区视图,这被定义为具有用户指定注释(包括用户首选标签)的源本体的全部或子集。Ontodog 允许用户在无需最小本体知识、编程技能或安装的情况下轻松生成社区视图。目前,有超过 100 个本体可供使用,包括所有 OBO 基金会本体,可根据用户需求生成视图。我们以生物医学研究本体论为例,展示了 Ontodog 在生成社区视图方面的应用。