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Nucleic Acids Res. 2007 Jan;35(Database issue):D322-7. Epub 2006 Nov 10.

GO PaD: the Gene Ontology Partition Database.

Author information

1
Division of Health Sciences and Technology Harvard Medical School and Massachusetts Institute of Technology, Boston, MA, USA. gil@mit.edu

Abstract

Gene Ontology (GO) has been widely used to infer functional significance associated with sets of genes in order to automate discoveries within large-scale genetic studies. A level in GO's direct acyclic graph structure is often assumed to be indicative of its terms' specificities, although other work has suggested this assumption does not hold. Unfortunately, quantitative analysis of biological functions based on nodes at the same level (as is common in gene enrichment analysis tools) can lead to incorrect conclusions as well as missed discoveries due to inefficient use of available information. This paper addresses these using an informational theoretic approach encoded in the GO Partition Database that guarantees to maximize information for gene enrichment analysis. The GO Partition Database was designed to feature ontology partitions with GO terms of similar specificity. The GO partitions comprise varying numbers of nodes and present relevant information theoretic statistics, so researchers can choose to analyze datasets at arbitrary levels of specificity. The GO Partition Database, featuring GO partition sets for functional analysis of genes from human and 10 other commonly studied organisms with a total of 131,972 genes, is available on the internet at: bcl.med.harvard.edu/proj/gopart. The site also includes an online tutorial.

PMID:
17098937
PMCID:
PMC1669720
DOI:
10.1093/nar/gkl799
[Indexed for MEDLINE]
Free PMC Article

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