GOToolBox: Functional analysis of gene data sets based on Gene Ontology. We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license.
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References in zbMATH (referenced in 3 articles )
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- Latouche, Pierre; Birmelé, Etienne; Ambroise, Christophe: Overlapping stochastic block models with application to the French political blogosphere (2011)
- Jupiter, Daniel; Şahutoğlu, Jessica; Vanburen, Vincent: TreeHugger: a new test for enrichment of gene ontology terms (2010)
- Grossmann, Steffen; Bauer, Sebastian; Robinson, Peter N.; Vingron, Martin: An improved statistic for detecting over-represented gene ontology annotations in gene sets (2006)