GOToolBox: functional analysis of gene datasets based on Gene Ontology |
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Authors: | David Martin Christine Brun Elisabeth Remy Pierre Mouren Denis Thieffry Bernard Jacq |
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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 |
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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. |
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