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

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


Bioconductor version: Release (3.22)

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] ORCID iD ORCID: 0000-0001-7774-1067 , Márton Ölbei [aut] ORCID iD ORCID: 0000-0002-4903-6237 , Lejla Gul [aut], Balázs Bohár [aut] ORCID iD ORCID: 0000-0002-3033-5448 , Tamás Stirling [aut] ORCID iD ORCID: 0000-0002-8964-6443

Maintainer: Eszter Ari <arieszter at gmail.com>

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

Installation

To install this package, start R (version "4.5") 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")

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 1.6.0
License MIT + file LICENSE
Depends
Imports
System Requirements
URL https://github.com/ELTEbioinformatics/muleaData
Bug Reports https://support.bioconductor.org/tag/muleaData/issues
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Package Archives

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