The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
Open accessAbstract
Summary: Modern experimental techniques, as for example DNA microarrays, as a result usually produce a long list of genes, which are potentially interesting in the analyzed process. In order to gain biological understanding from this type of data, it is necessary to analyze the functional annotations of all genes in this list. The Gene-Ontology (GO) database provides a useful tool to annotate and analyze the functions of a large number of genes. Here, we introduce a tool that utilizes this information to obtain an understanding of which annotations are typical for the analyzed list of genes. This program automatically obtains the GO annotations from a database and generates statistics of which annotations are overrepresented in the analyzed list of genes. This results in a list of GO terms sorted by their specificity. Availability: Our program GOstat is accessible via the Internet at http://gostat.wehi.edu.au
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Gene Ontology: tool for the unification of biology
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DAVID: Database for Annotation, Visualization, and Integrated Discovery
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DAVID: Database for Annotation, Visualization, and Integrated Discovery
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FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes
Al-Shahrour, F., Díaz-Uriarte, R., & Dopazo, J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg455 · Cited by 1,122
Multiple Hypothesis Testing in Microarray Experiments
Dudoit, S., Shaffer, J. P., & Boldrick, J. C. (2003) · Statistical Science · doi:10.1214/ss/1056397487 · Cited by 1,075
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ESTablishing a human transcript map
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Cited by
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356
agriGO: a GO analysis toolkit for the agricultural community
Du, Z., Zhou, X., Ling, Y., Zhang, Z., & Su, Z. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq310 · Cited by 2,396
Metadata
- Authors
- Beißbarth, T., & Speed, T. P.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-02-12
- Volume
- 20
- Issue
- 9
- Pages
- 1464-1465
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2102992354
- Cited by
- 1,257
- References
- 10
- FWCI
- 29.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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