GOSemSim: GO semantic similarity measurement

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The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R package for semantic similarity computation among GO terms, sets of GO terms, gene products and gene clusters. GOSemSim implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively.

GOSemSim is released within the Bioconductor project and the source code is hosted on GitHub.

Author

Guangchuang Yu, School of Public Health, The University of Hong Kong.

Citation

Please cite the following article when using GOSemSim:

doi citation Altmetric

Yu G, Li F, Qin Y, Bo X*, Wu Y and Wang S*. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinformatics. 2010, 26(7):976-978.

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Installation

Install GOSemSim is easy, follow the guide in the Bioconductor page:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
## biocLite("BiocUpgrade") ## you may need this
biocLite("GOSemSim")

Overview

Methods

Combine methods for aggregating multiple GO terms

Functions

Supported organisms

Find out details and examples on Documentation.

Find out more on projects.

Projects that depend on GOSemSim

CRAN packages

Bioconductor packages

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