WikiPathways

Browse and edit biological pathway diagrams and related knowledge through the WikiPathways open science platform.

wikipathways.org
WikiPathways homepage screenshot

About WikiPathways

WikiPathways is an open science platform for biological pathway diagrams. The research community contributes, updates, and uses the pathways, and users can browse them by organism, expert community, and ontology annotations. Diagrams are interactive, with clickable genes, drugs, and pathways.

The site also supports analysis and publishing. Users can visualize their own data in the context of pathway diagrams, and publish results as images linked to the database. Pathway content can be downloaded in GPML, GMT, and SVG formats, among others, and accessed programmatically through an API, SPARQL, Linked Data, R, and Python. The homepage does not state pricing, licensing terms, or access requirements.

Key features

  • Interactive pathway diagrams with clickable genes, drugs, and pathways
  • Browse pathways by organism, expert community, or ontology annotation
  • Filter pathway lists by update date, citations, or authors
  • Contribute and edit pathway knowledge as part of the research community
  • Visualize your own data on pathway diagrams
  • Download pathway content in GPML, GMT, and SVG formats
Best for: Researchers and scientists who need to explore, edit, or analyze biological pathway diagrams.
Good for
  • Pathways are contributed and updated by the research community
  • Content is available in several formats, including GPML, GMT, and SVG
  • Content can be accessed programmatically through an API, SPARQL, R, and Python

WikiPathways at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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WikiPathways FAQ

In what formats can pathway content be downloaded?
The homepage lists GPML (XML), GMT, SVG, and other formats, along with an archive option.
How can I access pathway content programmatically?
The homepage lists access through Linked Data, an API, SPARQL, R, and Python.
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