Open Access Highly Accessed Software

The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists

Da Wei Huang1, Brad T Sherman1, Qina Tan1, Jack R Collins2, W Gregory Alvord3, Jean Roayaei3, Robert Stephens2, Michael W Baseler4, H Clifford Lane5 and Richard A Lempicki1*

Author affiliations

1 Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA

2 Advanced Biomedical Computing Center, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA

3 Computer and Statistical Services, Data Management Services, National Cancer Institute at Frederick, Frederick, MD 21702, USA

4 Clinical Services Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA

5 Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA

For all author emails, please log on.

Citation and License

Genome Biology 2007, 8:R183  doi:10.1186/gb-2007-8-9-r183

Published: 4 September 2007

Abstract

The DAVID Gene Functional Classification Tool http://david.abcc.ncifcrf.gov webcite uses a novel agglomeration algorithm to condense a list of genes or associated biological terms into organized classes of related genes or biology, called biological modules. This organization is accomplished by mining the complex biological co-occurrences found in multiple sources of functional annotation. It is a powerful method to group functionally related genes and terms into a manageable number of biological modules for efficient interpretation of gene lists in a network context.