title: Expression data analysis with Reactome.
abstract: The Reactome database of curated biological pathways provides a tool for visualizing user-supplied expression data as an overlay on pathway diagrams, thereby affording an effective means to examine expression of the constituents of the pathway and determine whether all that are necessary are present. Several experiments can be visualized in succession, to determine whether expression changes with experimental conditions, a useful feature for examining a time-course, dose-response, or disease progression.
authors.affiliation: European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
authors.forename: Steve
authors.initials: S
authors.lastname: Jupe
authors.affiliation: European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
authors.forename: Antonio
authors.initials: A
authors.lastname: Fabregat
authors.affiliation: European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
authors.forename: Henning
authors.initials: H
authors.lastname: Hermjakob
mesh_terms: D005786:Gene Expression Regulation; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D015398:Signal Transduction / Q000235:genetics*; D013223:Statistics as Topic; D014584:User-Computer Interface
keywords: expression analysis; microarray; pathway; quantitative proteomics; reactome