title: Reactome pathway analysis to enrich biological discovery in proteomics data sets.
abstract: Reactome (http://www.reactome.org) is an open-source, expert-authored, peer-reviewed, manually curated database of reactions, pathways and biological processes. We provide an intuitive web-based user interface to pathway knowledge and a suite of data analysis tools. The Pathway Browser is a Systems Biology Graphical Notation-like visualization system that supports manual navigation of pathways by zooming, scrolling and event highlighting, and that exploits PSI Common Query Interface web services to overlay pathways with molecular interaction data from the Reactome Functional Interaction Network and interaction databases such as IntAct, ChEMBL and BioGRID. Pathway and expression analysis tools employ web services to provide ID mapping, pathway assignment and over-representation analysis of user-supplied data sets. By applying Ensembl Compara to curated human proteins and reactions, Reactome generates pathway inferences for 20 other species. The Species Comparison tool provides a summary of results for each of these species as a table showing numbers of orthologous proteins found by pathway from which users can navigate to inferred details for specific proteins and reactions. Reactome's diverse pathway knowledge and suite of data analysis tools provide a platform for data mining, modeling and analysis of large-scale proteomics data sets. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 8).
authors.affiliation: Ontario Institute for Cancer Research, Department of Informatics and Bio-computing, Toronto, ON, Canada.
authors.forename: Robin
authors.initials: R
authors.lastname: Haw
authors.forename: Henning
authors.initials: H
authors.lastname: Hermjakob
authors.forename: Peter
authors.initials: P
authors.lastname: D'Eustachio
authors.forename: Lincoln
authors.initials: L
authors.lastname: Stein
mesh_terms: D000818:Animals; D001686:Biological Phenomena; D003196:Computer Graphics; D030562:Databases, Protein; D006801:Humans; D020407:Internet; D051188:Knowledge Bases; D053858:Metabolic Networks and Pathways; D040901:Proteomics / Q000379:methods*; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods*; D014584:User-Computer Interface