About this Biochemistry, Genetics and Molecular Biology article
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources by Da Wei Huang; Brad T Sherman; Richard A Lempicki is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Da Wei Huang; Brad T Sherman; Richard A Lempicki
- Publisher
- Springer Science and Business Media LLC
- Published
- 2008
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)