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

Gene set enrichment analysis (GSEA) conducted on Reactome’s carbohydrate metabolism pathways identifies the Pentose phosphate pathway and the Glucose metabolism pathway as the two most frequently upregulated pathways in tumors with high tumor-specific total mRNA expression (TmS) across 15 tumor types; TmS is a novel tumor phenotype-predictive quantitative feature described by Cao et al. in the November 2022 issue of Nature Biotechnology.

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.

Tweets

Version 83 released on December 7, 2022

2,610

Human Pathways

14,471

Reactions

11,442

Proteins

2,002

Small Molecules

1,113

Drugs

36,290

Literature References

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