Bioinformatic Tools for Inferring Functional Information from Plant Microarray Data II: Analysis Beyond Single Gene. (3rd July 2008)

• Record Type: Journal Article
• Authors: Coulibaly, Issa; Page, Grier P.
• Other Names: Skuse Gary Academic Editor.
• Is Part Of: International journal of plant genomics. Volume 2008(2008)
• Publication Date: 2008-07-03
• Subjects: Plant genetics -- Periodicals; Plant genomes -- Periodicals; Génétique végétale; Plantes -- Génomes; Plant genetics; Plant genomes; Periodicals; Electronic journals; 572.8605
• DOI: 10.1155/2008/893941
• Languages: English
• ISSNs: 1687-5370

Abstract

Abstract : While it is possible to interpret microarray experiments a single gene at a time, most studies generate long lists of differentially expressed genes whose interpretation requires the integration of prior biological knowledge. This prior knowledge is stored in various public and private databases and covers several aspects of gene function and biological information. In this review, we will describe the tools and places where to find prior accurate biological information and how to process and incorporate them to interpret microarray data analyses. Here, we highlight selected tools and resources for gene class level ontology analysis (Section 2), gene coexpression analysis (Section 3), gene network analysis (Section 4), biological pathway analysis (Section 5), analysis of transcriptional regulation (Section 6), and omics data integration (Section 7). The overall goal of this review is to provide researchers with tools and information to facilitate the interpretation of microarray data.