Reactome: A database of reactions, pathways and biological processes

Croft, D., O'Kelly, G., Wu, G., Haw, R., Gillespie, M., Matthews, L., Caudy, M., Garapati, P., Gopinath, G., Jassal, B., Jupe, S., Kalatskaya, I., MayMahajan, S., May, B., Ndegwa, N., Schmidt, E., Shamovsky, V., Yung, C., Birney, E., Hermjakob, H., D'Eustachio, P., Stein, L. D. (2011) Reactome: A database of reactions, pathways and biological processes. Nucleic Acids Research, 39 (SUPPL.).

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URL: http://www.ncbi.nlm.nih.gov/pubmed/21067998
DOI: 10.1093/nar/gkq1018

Abstract

Reactome (http://www.reactome.org) is a collaboration among groups at the Ontario Institute for Cancer Research, Cold Spring Harbor Laboratory, New York University School of Medicine and The European Bioinformatics Institute, to develop an open source curated bioinformatics database of human pathways and reactions. Recently, we developed a new web site with improved tools for pathway browsing and data analysis. The Pathway Browser is an Systems Biology Graphical Notation (SBGN)-based visualization system that supports zooming, scrolling and event highlighting. It exploits PSIQUIC web services to overlay our curated pathways with molecular interaction data from the Reactome Functional Interaction Network and external interaction databases such as IntAct, BioGRID, ChEMBL, iRefIndex, MINT and STRING. Our Pathway and Expression Analysis tools enable ID mapping, pathway assignment and overrepresentation analysis of user-supplied data sets. To support pathway annotation and analysis in other species, we continue to make orthology-based inferences of pathways in non-human species, applying Ensembl Compara to identify orthologs of curated human proteins in each of 20 other species. The resulting inferred pathway sets can be browsed and analyzed with our Species Comparison tool. Collaborations are also underway to create manually curated data sets on the Reactome framework for chicken, Drosophila and rice. © The Author(s) 2010.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > databases
bioinformatics > genomics and proteomics
bioinformatics > genomics and proteomics > databases > databases
CSHL Authors:
Communities: CSHL labs > Stein lab
Depositing User: Matt Covey
Date Deposited: 05 Feb 2013 16:34
Last Modified: 05 Feb 2013 16:34
PMCID: PMC3013646
Related URLs:
URI: http://repository.cshl.edu/id/eprint/27206

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