Nucleic Acids Res. 2024 Jan 5;52(D1):D44-D51. doi: 10.1093/nar/gkad902.
The SIB Swiss Institute of Bioinformatics (https://www.sib.swiss/) is a federation of bioinformatics research and service groups. The international life science community in academia and industry has been accessing the freely available databases provided by SIB since its inception in 1998. In this paper we present the 11 databases which currently offer semantically enriched data in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reusable), as well as the Swiss Personalized Health Network initiative (SPHN) which also employs this enrichment. The semantic enrichment facilitates the manipulation of large data sets from public databases and private data sets. Examples are provided to illustrate that the data from the SIB databases can not only be queried using precise criteria individually, but also across multiple databases, including a variety of non-SIB databases. Data manipulation, be it exploration, extraction, annotation, combination, and publication, is possible using the SPARQL query language. Providing documentation, tutorials and sample queries makes it easier to navigate this web of semantic data. Through this paper, the reader will discover how the existing SIB knowledge graphs can be leveraged to tackle the complex biological or clinical questions that are being addressed today.
瑞士生物信息学研究所(https://www.sib.swiss/)是一个由生物信息学研究和服务团队组成的联盟。自 1998 年成立以来,学术界和工业界的国际生命科学界一直在访问 SIB 提供的免费数据库。在本文中,我们介绍了目前根据 FAIR 原则(可发现、可访问、可互操作、可重用)提供语义丰富数据的 11 个数据库,以及瑞士个性化健康网络倡议(SPHN),该倡议也采用了这种丰富的语义。语义丰富有助于处理来自公共数据库和私有数据库的大型数据集。例如,举例说明了 SIB 数据库的数据不仅可以使用精确的标准单独查询,还可以跨多个数据库进行查询,包括各种非 SIB 数据库。使用 SPARQL 查询语言可以进行数据操作,例如探索、提取、注释、组合和发布。提供文档、教程和示例查询可更轻松地导航这个语义数据网络。通过本文,读者将发现如何利用现有的 SIB 知识图谱来解决当今正在解决的复杂生物学或临床问题。