title: GOToolBox: functional analysis of gene datasets based on Gene Ontology.
abstract: 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.
authors.affiliation: Laboratoire de Génétique et Physiologie du Développement, IBDM, CNRS/INSERM/Université de la Méditerranée, Parc Scientifique de Luminy, case 907, 13288 Marseille, France. martin@ibdm.univ-mrs.fr
authors.forename: David
authors.initials: D
authors.lastname: Martin
authors.forename: Christine
authors.initials: C
authors.lastname: Brun
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Remy
authors.forename: Pierre
authors.initials: P
authors.lastname: Mouren
authors.forename: Denis
authors.initials: D
authors.lastname: Thieffry
authors.forename: Bernard
authors.initials: B
authors.lastname: Jacq
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D004331:Drosophila melanogaster / Q000235:genetics; D023281:Genomics / Q000379:methods*; D020407:Internet; D025941:Protein Interaction Mapping; D012984:Software