Shawn T O'Neil, Brian M Schilder, Kevin Schaper, Corey Cox, Daniel Korn, Sarah Gehrke, Christopher J Mungall, Melissa A Haendel
{"title":"monarchr: An R Package for Querying Biomedical Knowledge Graphs.","authors":"Shawn T O'Neil, Brian M Schilder, Kevin Schaper, Corey Cox, Daniel Korn, Sarah Gehrke, Christopher J Mungall, Melissa A Haendel","doi":"10.1093/bioinformatics/btaf549","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>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.</p><p><strong>Availability and implementation: </strong>Source code, documentation, and installation instructions are available at https://github.com/monarch-initiative/monarchr.</p><p><strong>Supplementary information: </strong>Supplementary data are available at Bioinformatics online.</p>","PeriodicalId":93899,"journal":{"name":"Bioinformatics (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics (Oxford, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/btaf549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.
Supplementary information: Supplementary data are available at Bioinformatics online.