Pathway Browser

Visualize and interact with Reactome biological pathways

Analysis Tools

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

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

[March 15, 2024] Using WGCNA, GO and KEGG data analysis tools, He Y et al. in the January 2024 issue of BMC Medical Genomics, established a connection among the genes and pathways associated with type 2 diabetes (T2D) and ischemic stroke (IS) and identified GRN (granulin precursor) as the hub gene in T2D-related stroke. The functional enrichment analysis using Reactome analysis tool for GRN identified Neutrophil degranulation, Toll-like Receptor Cascades, DDX58/IFIH1-mediated induction of interferon-alpha/ beta, and NLR signaling pathways as shared biological processes in T2D and IS.

ARCHIVE

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 grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.

Version 87 released on December 6th, 2023

2,673

Human Pathways

15,046

Reactions

11,392

Proteins

2,120

Small Molecules

1,046

Drugs

37,933

Literature References

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