Martin David, Brun Christine, Remy Elisabeth, Mouren Pierre, Thieffry Denis, Jacq Bernard
Laboratoire de Génétique et Physiologie du Développement, IBDM, CNRS/INSERM/Université de la Méditerranée, Parc Scientifique de Luminy, case 907, 13288 Marseille, France.
Genome Biol. 2004;5(12):R101. doi: 10.1186/gb-2004-5-12-r101. Epub 2004 Nov 26.
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.
我们基于基因本体论(GO)资源开发了多种方法和工具,可用于识别基因数据集中统计学上过度或不足代表的术语;对一组内功能相关的基因进行聚类;以及检索与查询基因共享注释的基因。GO注释也可以被限制在一个精简层次结构或本体的给定级别。源代码可根据要求提供,并根据GPL许可进行分发。