Journal
GENOME BIOLOGY
Volume 5, Issue 12, Pages -Publisher
BMC
DOI: 10.1186/gb-2004-5-12-r101
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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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