GO-module: Functional synthesis and improved interpretation of gene ontology patterns

Xinan Yang; Jianrong Li; Younghee Lee; Yves A. Lussier

doi:10.1093/bioinformatics/btr142

GO-module: Functional synthesis and improved interpretation of gene ontology patterns

Xinan Yang, Jianrong Li, Younghee Lee, Yves A. Lussier

Medicine

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

Summary: GO-Module is a web-accessible synthesis and visualization tool developed for end-user biologists to greatly simplify the interpretation of prioritized Gene Ontology (GO) terms. GO-Module radically reduces the complexity of raw GO results into compact biomodules in two distinct ways, by (i) constructing biomodules from significant GO terms based on hierarchical knowledge, and (ii) refining the GO terms in each biomodule to contain only true positive results. Altogether, the features (biomodules) of GO-Module outputs are better organized and on average four times smaller than the input GO terms list (P = 0.0005, n = 16).

Original language	English (US)
Article number	btr142
Pages (from-to)	1444-1446
Number of pages	3
Journal	Bioinformatics
Volume	27
Issue number	10
DOIs	https://doi.org/10.1093/bioinformatics/btr142
State	Published - May 2011

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btr142

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abstract = "Summary: GO-Module is a web-accessible synthesis and visualization tool developed for end-user biologists to greatly simplify the interpretation of prioritized Gene Ontology (GO) terms. GO-Module radically reduces the complexity of raw GO results into compact biomodules in two distinct ways, by (i) constructing biomodules from significant GO terms based on hierarchical knowledge, and (ii) refining the GO terms in each biomodule to contain only true positive results. Altogether, the features (biomodules) of GO-Module outputs are better organized and on average four times smaller than the input GO terms list (P = 0.0005, n = 16).",

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GO-module: Functional synthesis and improved interpretation of gene ontology patterns

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