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Nucleic Acids Research Advance Access originally published online on November 3, 2008
Nucleic Acids Research 2009 37(Database issue):D619-D622; doi:10.1093/nar/gkn863
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Nucleic Acids Research, 2009, Vol. 37, Database issue D619-D622
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

Reactome knowledgebase of human biological pathways and processes

Lisa Matthews1, Gopal Gopinath1, Marc Gillespie1,2, Michael Caudy1, David Croft3, Bernard de Bono3, Phani Garapati3, Jill Hemish1, Henning Hermjakob3, Bijay Jassal3, Alex Kanapin1, Suzanna Lewis4, Shahana Mahajan5,6, Bruce May1, Esther Schmidt3, Imre Vastrik3, Guanming Wu1, Ewan Birney3, Lincoln Stein1,7 and Peter D’Eustachio1,6,*

1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, 2College of Pharmacy and Allied Health Professions, St. John's University, Queens, NY 11439, USA, 3European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK, 4Lawrence Berkeley National Laboratory, Berkeley, CA 94720, 5Hunter College, New York, NY 10010, 6NYU School of Medicine, New York, NY 10016, USA and 7Ontario Institute for Cancer Research, Toronto, ON, Canada M5G0A3

*To whom correspondence should be addressed. Tel: +1 212 263 5779; Fax: +1 212 263 8166; Email: deustp01{at}med.nyu.edu

Received September 17, 2008. Revised October 14, 2008. Accepted October 16, 2008.

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.


The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors


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