UNIT 13.11 Extracting Biological Meaning from Large Gene Lists with DAVID

  1. Da Wei Huang,
  2. Brad T. Sherman,
  3. Xin Zheng,
  4. Jun Yang,
  5. Tomozumi Imamichi,
  6. Robert Stephens,
  7. Richard A. Lempicki

Published Online: 1 SEP 2009

DOI: 10.1002/0471250953.bi1311s27

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Huang, D. W., Sherman, B. T., Zheng, X., Yang, J., Imamichi, T., Stephens, R. and Lempicki, R. A. 2009. Extracting Biological Meaning from Large Gene Lists with DAVID. Current Protocols in Bioinformatics. 27:13.11:13.11.1–13.11.13.

Author Information

  1. National Cancer Institute at Frederick, Frederick, Maryland

Publication History

  1. Published Online: 1 SEP 2009
  2. Published Print: SEP 2009


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. Curr. Protoc. Bioinform. 27:13.11.1-13.11.13. © 2009 by John Wiley & Sons, Inc.


  • microarray analysis;
  • gene functional annotation;
  • bio-databases;
  • enrichment analysis;
  • gene clustering