GOstat: find statistically overrepresented Gene Ontologies within a group of genes

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ID: 295760
2004
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Abstract
Abstract 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
Reference Key
openalex_W2102992354 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tim Beißbarth, Terence P. Speed
Journal BMC Bioinformatics
Year 2004
DOI
10.1093/bioinformatics/bth088
URL
https://academic.oup.com/bioinformatics/article-pdf/20/9/1464/488822/bth088.pdf
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