rWikiPathways

rWikiPathways is a tool associated with WikiPathways, a collaborative platform capturing collective knowledge in biological pathways. With a curated and machine-readable database, WikiPathways facilitates omics data analysis and visualization, serving research groups across various fields. While the platform has been valuable for genes and proteins, recent curation efforts have significantly enhanced the annotation of metabolites and metabolic pathways, including associating unmapped metabolites with database identifiers and providing detailed interaction knowledge. Notable outcomes include a doubling of annotated metabolite nodes in WikiPathways. The tool introduces an OpenAPI documentation of web services and adheres to FAIR principles (Findable, Accessible, Interoperable, and Reusable), enhancing interoperability between pathway knowledge and experimental omics data. Additional features, such as new search options, monthly downloads, increased links to metabolite databases, and new portals, improve accessibility for individual researchers and research communities.

Topic

Molecular interactions, pathways and networks;Metabolomics;Rare diseases

Detail

  • Operation: Visualisation

  • Software interface: Library

  • Language: R

  • License: The MIT License

  • Cost: Free

  • Version name: 1.22.1

  • Credit: Innovative Medicines Initiative Joint Undertaking, National Institutes of Health, Google Summer of Code, National Cancer Institute, Dutch Province of Limburg, Netherlands Organisation for Scientific Research.

  • Input: -

  • Output: -

  • Contact: Egon Willighagen egon.willighagen@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

  • WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research.
  • Slenter DN, et al. WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research. WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research. 2018; 46:D661-D667. doi: 10.1093/nar/gkx1064
  • https://doi.org/10.1093/nar/gkx1064
  • PMID: 29136241
  • PMC: PMC5753270

Download and documentation


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