Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology
Link
http://www.nature.com/articles/nprot.2008.211.pdf
Reference16 articles.
1. Huang da, W. et al. DAVID bioinformatics resources: expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res. 35, W169–W175 (2007).
2. Dennis, G. Jr. et al. DAVID: database for annotation, visualization, and integrated discovery. Genome Biol. 4, P3 (2003).
3. Hosack, D.A., Dennis, G. Jr., Sherman, B.T., Lane, H.C. & Lempicki, R.A. Identifying biological themes within lists of genes with EASE. Genome Biol. 4, R70 (2003).
4. Zeeberg, B.R. et al. High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of common variable immune deficiency (CVID). BMC Bioinformatics 6, 168 (2005).
5. Beissbarth, T. & Speed, T.P. GOstat: find statistically overrepresented Gene Ontologies within a group of genes. Bioinformatics 20, 1464–1465 (2004).
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