GOpro

This is the released version of GOpro; for the devel version, see GOpro.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

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

Bioconductor version: Release (3.23)

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 (http://mi2.mini.pw.edu.pl/, https://github.com/geneticsMiNIng).

Author: Lidia Chrabaszcz

Maintainer: Lidia Chrabaszcz <chrabaszcz.lidia at gmail.com>

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

Lidia Chrabaszcz. GOpro: Find the most characteristic gene ontology terms for groups of human genes. doi:10.18129/B9.bioc.GOpro, R package version 1.38.1, https://bioconductor.org/packages/GOpro.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GOpro")

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

Documentation

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

browseVignettes("GOpro")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software
Version	1.38.1
In Bioconductor since	BioC 3.4 (R-3.3) (10 years)
License	GPL-3
Depends	R (>= 3.5.0)
Imports	AnnotationDbi, dendextend, doParallel, foreach, parallel, org.Hs.eg.db, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors
System Requirements
URL	https://github.com/mi2-warsaw/GOpro
Bug Reports	https://github.com/mi2-warsaw/GOpro/issues

Suggests	knitr, rmarkdown, BiocStyle, testthat
Linking To	Rcpp, BH
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	GOpro_1.38.1.tar.gz
Windows Binary (x86_64)	GOpro_1.38.1.zip
macOS Binary (big-sur-x86_64)	GOpro_1.38.1.tgz
macOS Binary (sonoma-arm64)	GOpro_1.38.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GOpro
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GOpro
Package Short Url	https://bioconductor.org/packages/GOpro/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.23	Source Archive