期刊
BIOINFORMATICS
卷 32, 期 3, 页码 477-479出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv590
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资金
- Government of Canada via the International Development Research Centre (IDRC) through the African Institute for Mathematical Sciences - Next Einstein Initiative (AIMS-NEI)
- National Human Genome Research Institute of the National Institutes of Health [U41HG006941]
A Summary: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly compute, manipulate and explore these measures, we introduce A-DaGO-Fun (ADaptable Gene Ontology semantic similarity-based Functional analysis). It is a portable software package integrating all known GO information content-based semantic similarity measures and relevant biological applications associated with these measures. A-DaGO-Fun has the advantage not only of handling datasets from the current high-throughput genome-wide applications, but also allowing users to choose the most relevant semantic similarity approach for their biological applications and to adapt a givenmodule to their needs.
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