title: Extracting biological meaning from large gene lists with DAVID.
abstract: High-throughput genomics screening studies, such as microarray, proteomics, etc., often result in large, "interesting" gene lists, ranging in size from hundreds to thousands of genes. Given the challenges of functionally interpreting such large gene lists, it is necessary to incorporate bioinformatics tools in the analysis. DAVID is a Web-based application that provides a high-throughput and integrative gene functional annotation environment to systematically extract biological themes behind large gene lists. High-throughput gene functional analysis with DAVID will provide important insights that allow investigators to understand the biological themes within their given genomic study. This unit will describe step-by-step procedures to use DAVID tools, as well as a brief rationale and key parameters in the DAVID analysis.
authors.affiliation: National Cancer Institute at Frederick, Frederick, Maryland, USA.
authors.forename: Da Wei
authors.initials: da W
authors.lastname: Huang
authors.forename: Brad T
authors.initials: BT
authors.lastname: Sherman
authors.forename: Xin
authors.initials: X
authors.lastname: Zheng
authors.forename: Jun
authors.initials: J
authors.lastname: Yang
authors.forename: Tomozumi
authors.initials: T
authors.lastname: Imamichi
authors.forename: Robert
authors.initials: R
authors.lastname: Stephens
authors.forename: Richard A
authors.initials: RA
authors.lastname: Lempicki
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D005796:Genes; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D012984:Software