Reactome strives to save you valuable time by placing biological knowledge, vizualizations, and analysis tools at your fingertips. If we have made a difference to your work, please take 5 minutes to fill in the Reactome User Survey, let us know what matters most to you and how we can serve you better.

SURVEY

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

[December 1, 2024] In the August 2024 issue of PLoS One Huang et al. used the Reactome database to analyze the pattern of RNA editing in cells in response to infection by SARS-CoV-2 and found that editing was highest in transcripts of genes related to immune response and cytokine production. Single cell transcriptomics showed that the Reactome Interferon signaling pathway is enriched in plasmacytoid B cells, B cells, and T cell subtypes during SARS-CoV-2 infection.

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 91 released on December 4, 2024

2,751

Human Pathways

15,591

Reactions

11,541

Proteins

2,125

Small Molecules

1,057

Drugs

39,806

Literature References

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