Reactome knowledgebase of human biological pathways and processes

Lisa Matthews; Gopal Gopinath; Marc Gillespie; Michael Caudy; David Croft; Bernard de Bono; Phani Garapati; Jill Hemish; Henning Hermjakob; Bijay Jassal; Alexander Kanapin; Suzanna Lewis; Sandeep Mahajan; Bruce May; E Schmidt; Imre Västrik; Guanming Wu; Ewan Birney; Lincoln Stein; Peter D’Eustachio

doi:10.1093/nar/gkn863

Reactome knowledgebase of human biological pathways and processes

Lisa Matthews(Cold Spring Harbor Laboratory), Gopal Gopinath(European Bioinformatics Institute), Marc Gillespie(European Bioinformatics Institute), Michael Caudy(European Bioinformatics Institute), David Croft(European Bioinformatics Institute), Bernard de Bono(European Bioinformatics Institute), Phani Garapati(European Bioinformatics Institute), Jill Hemish(European Bioinformatics Institute), Henning Hermjakob(European Bioinformatics Institute), Bijay Jassal(European Bioinformatics Institute), Alexander Kanapin(European Bioinformatics Institute), Suzanna Lewis(European Bioinformatics Institute), Sandeep Mahajan(European Bioinformatics Institute), Bruce May(European Bioinformatics Institute), E Schmidt(European Bioinformatics Institute), Imre Västrik(European Bioinformatics Institute), Guanming Wu(European Bioinformatics Institute), Ewan Birney(European Bioinformatics Institute), Lincoln Stein(Ontario Institute for Cancer Research), Peter D’Eustachio(Cold Spring Harbor Laboratory)

Nucleic Acids Research

November 3, 2008

10.1093/nar/gkn863

Cited by 886Open Access

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Abstract

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.

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