monarchr: an R package for querying biomedical knowledge graphs

作者：Shawn T. O’Neil, Brian M. Schilder, Kevin Schaper, Corey Cox, Daniel Korn, Sarah Gehrke, Chris Mungall, Melissa Haendel · 发表于：Bioinformatics · 年份：2025 · DOI：10.1093/bioinformatics/btaf549 · 被引用次数：1 · 研究领域：Bioinformatics and Genomic Networks、Advanced Graph Neural Networks、Biomedical Text Mining and Ontologies

SUMMARY: Biomedical knowledge graphs (KGs) aggregate and provide a wealth of information, linking genes and their variants, diseases, phenotypes, and much more. While these data are available in raw and API-hosted form, to date, functionality for working with KGs in the R programming language has been limited. We introduce monarchr, a package for querying and manipulating KG data. Support for the expansive Monarch Initiative KG is built in, and monarchr can accommodate any KG in the Knowledge Graph eXchange (KGX) format. This tidy-inspired interface offers researchers an intuitive, iterative approach to querying and visualizing KG data. AVAILABILITY AND IMPLEMENTATION: Source code, documentation, and installation instructions are available at https://github.com/monarch-initiative/monarchr.