Reactome knowledgebase of human biological pathways and processes

• Published in: Nucleic acids research Vol. 37; no. suppl-1; pp. D619 - D622
• Main Authors: Matthews, Lisa, Gopinath, Gopal, Gillespie, Marc, Caudy, Michael, Croft, David, de Bono, Bernard, Garapati, Phani, Hemish, Jill, Hermjakob, Henning, Jassal, Bijay, Kanapin, Alex, Lewis, Suzanna, Mahajan, Shahana, May, Bruce, Schmidt, Esther, Vastrik, Imre, Wu, Guanming, Birney, Ewan, Stein, Lincoln, D'Eustachio, Peter
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.01.2009; Oxford Publishing Limited (England)
• Subjects: Animals; Arabidopsis; BASIC BIOLOGICAL SCIENCES; Biochemistry & Molecular Biology; Databases, Protein; Drosophila; Gallus gallus; Humans; Metabolic Networks and Pathways; Models, Animal; Oryza sativa; Physiological Phenomena; Proteins - genetics; Proteins - metabolism; Proteins - physiology; Signal Transduction; Software; Systems Integration
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/gkn863

Reactome (http://www.reactome.org) is an expert-authored, peer-reviewed knowledgebase of human reactions and pathways that functions as a data mining resource and electronic textbook. Its current release includes 2975 human proteins, 2907 reactions and 4455 literature citations. A new entity-level pathway viewer and improved search and data mining tools facilitate searching and visualizing pathway data and the analysis of user-supplied high-throughput data sets. Reactome has increased its utility to the model organism communities with improved orthology prediction methods allowing pathway inference for 22 species and through collaborations to create manually curated Reactome pathway datasets for species including Arabidopsis, Oryza sativa (rice), Drosophila and Gallus gallus (chicken). Reactome's data content and software can all be freely used and redistributed under open source terms.