muleaData

Genes Sets for Functional Enrichment Analysis with the 'mulea' R Package


Bioconductor version: Release (3.20)

ExperimentHubData package for the 'mulea' comprehensive overrepresentation and functional enrichment analyser R package. Here we provide ontologies (gene sets) in a data.frame for 27 different organisms, ranging from Escherichia coli to human, all acquired from publicly available data sources. Each ontology is provided with multiple gene and protein identifiers. Please see the NEWS file for a list of changes in each version.

Author: Eszter Ari [aut, cre] , Márton Ölbei [aut] , Lejla Gul [aut], Balázs Bohár [aut] , Tamás Stirling [aut]

Maintainer: Eszter Ari <arieszter at gmail.com>

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

Installation

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


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

BiocManager::install("muleaData")

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("muleaData")
muleaData HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Arabidopsis_thaliana_Data, Bacillus_subtilis_Data, Caenorhabditis_elegans_Data, ChIPSeqData, DNASeqData, Danio_rerio_Data, Drosophila_melanogaster_Data, Escherichia_coli_Data, ExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, Pan_troglodytes_Data, Pseudomonas_aeruginosa_Data, Rattus_norvegicus_Data, Saccharomyces_cerevisiae_Data, Staphylococcus_aureus_Data, miRNAData
Version 1.1.0
License MIT + file LICENSE
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Imports
System Requirements
URL https://github.com/ELTEbioinformatics/muleaData
Bug Reports https://support.bioconductor.org/tag/muleaData/issues
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Suggests knitr, rmarkdown, ExperimentHub, dplyr
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Package Archives

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

Source Package muleaData_1.1.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/muleaData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/muleaData
Package Short Url https://bioconductor.org/packages/muleaData/
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