Introducing Reactome’s new Pathway Browser! Click the button to explore the new Pathway Browser Beta!

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Pathway Browser

Visualize and interact with Reactome biological pathways

Analysis Tools

Merges pathway identifier mapping,
over-representation, and expression analysis

AI Chatbot

Meet the React-to-Me AI Chatbot! Designed to answer your questions about Reactome Pathways.

ReactomeFIViz

Designed to find pathways and network patterns related to cancer and other types of diseases

Documentation

Information to browse the database and use its principal tools for data analysis

Reactome Research Spotlight

[July 5th, 2026] In their April 2026 PLOS Computational Biology education article“ Ten common mistakes that could ruin your enrichment analysis ”, Bora et al. identify ten methodological pitfalls that undermine functional enrichment analysis in published research, and explicitly recommend Reactome as one of the few comprehensive pathway databases whose breadth, currency, and built-in tools directly address many of them.

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Why Reactome

Reactome is a free, open-source, curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modeling, systems biology and education. 

European Bioinformatics Institute (EMBL-EBI)
NYU Langone Health
Oregon Health & Science University
Ontario Institute for Cancer Research

The development of Reactome is supported by a grant from the US National Institutes of Health (U24 HG012198).

Version 97 released on June 30, 2026

2,883

Human Pathways

16,423

Reactions

11,694

Proteins

2,188

Small Molecules

1,102

Drugs

43,308

Literature References

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