Expression Data Analysis with Reactome. Issue 1 (15th February 2018)

• Record Type: Journal Article
• Authors: Jupe, Steve; Fabregat, Antonio; Hermjakob, Henning
• Editors: Bateman, Alex; Pearson, William R.; Stein, Lincoln D.; Stormo, Gary D.; Yates, John R.
• Is Part Of: Current protocols in bioinformatics. Volume 49:Issue 1(2015)
• Page Start: 8.20.1
• Page End: 8.20.9
• Publication Date: 2018-02-15
• Subjects: reactome -- pathway -- expression analysis -- microarray -- quantitative proteomics; Bioinformatics -- Laboratory manuals; Nucleotide sequence -- Laboratory manuals; Amino acid sequence -- Laboratory manuals; Base Sequence; Amino Acid Sequence; Computational Biology -- methods; Databases, Genetic; Proteins -- analysis; Sequence Analysis -- methods; Sequence Homology; Amino acid sequence; Bioinformatics; Nucleotide sequence; Laboratory Manuals; Laboratory manuals; 570.285
• DOI: 10.1002/0471250953.bi0820s49
• Languages: English
• ISSNs: 1934-3396

Abstract

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. © 2015 by John Wiley & Sons, Inc.