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This is the development version of GOpro; for the stable release version, see GOpro.

Find the most characteristic gene ontology terms for groups of human genes

Bioconductor version: Development (3.20)

Find the most characteristic gene ontology terms for groups of human genes. This package was created as a part of the thesis which was developed under the auspices of MI^2 Group (,

Author: Lidia Chrabaszcz

Maintainer: Lidia Chrabaszcz <chrabaszcz.lidia at>

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


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

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

# The following initializes usage of Bioc devel


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:

GOpro: Determine groups of genes and find their characteristic GO term HTML R Script
Reference Manual PDF


biocViews Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software
Version 1.31.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports AnnotationDbi, dendextend, doParallel, foreach, parallel,, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors
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Suggests knitr, rmarkdown, RTCGA.PANCAN12, BiocStyle, testthat
Linking To Rcpp, BH
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Follow Installation instructions to use this package in your R session.

Source Package GOpro_1.31.0.tar.gz
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macOS Binary (x86_64) GOpro_1.31.0.tgz
macOS Binary (arm64) GOpro_1.31.0.tgz
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Source Repository (Developer Access) git clone
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