Find Reactions, Proteins and Pathways
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
[November 1, 2024] In PLOS Computational Biology, Wieder et al. (2024) employ the Reactome database and PathIntegrate, a pathway-based multi-omics integration tool based on single-sample pathway analysis and machine learning, to translate multi-omics datasets from molecular abundance measurements to pathway activity scores, enabling integration of disparate types of omics data according to a common scale. PathIntegrate provides higher sensitivity at low signal levels and efficiently identifies perturbed pathways from multi-omics datasets in COVID-19 and chronic obstructive pulmonary disease (COPD) examples, providing a readily interpretable predictive model.
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.
The development of Reactome is supported by grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.
Version 90 released on October 2, 2024
2,742
Human Pathways
15,492
Reactions
11,506
Proteins
2,053
Small Molecules
1,057
Drugs
39,318
Literature References
