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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
monarchr: an R package for querying biomedical knowledge graphs
Shawn T O'Neil1, Brian M Schilder2, Kevin Schaper1
1Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
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.
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