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GO-terms Semantic Similarity Measures

Bioconductor version: Release (3.19)

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.

Author: Guangchuang Yu [aut, cre], Alexey Stukalov [ctb], Pingfan Guo [ctb], Chuanle Xiao [ctb], LluĂ­s Revilla Sancho [ctb]

Maintainer: Guangchuang Yu <guangchuangyu at>

Citation (from within R, enter citation("GOSemSim")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

GOSemSim HTML R Script
Reference Manual PDF


biocViews Annotation, Clustering, GO, Network, Pathways, Software
Version 2.30.0
In Bioconductor since BioC 2.4 (R-2.9) (15 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports AnnotationDbi, GO.db, methods, rlang, stats, utils, yulab.utils
System Requirements
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Suggests AnnotationHub, BiocManager, clusterProfiler, DOSE, knitr,, prettydoc, readr, rmarkdown, testthat, tidyr, tidyselect, ROCR
Linking To Rcpp
Depends On Me tRanslatome
Imports Me clusterProfiler, DOSE, enrichplot, GeDi, meshes, Rcpi, rrvgo, simplifyEnrichment, ViSEAGO, BiSEp
Suggests Me BioCor, epiNEM, FELLA, SemDist, genekitr, protr, rDNAse, scDiffCom
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package GOSemSim_2.30.0.tar.gz
Windows Binary
macOS Binary (x86_64) GOSemSim_2.30.0.tgz
macOS Binary (arm64) GOSemSim_2.30.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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