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muleaData

This is the development version of muleaData; to use it, please install the devel version of Bioconductor.

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


Bioconductor version: Development (3.19)

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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 0.99.1
License MIT + file LICENSE
Depends
Imports
System Requirements
URL https://github.com/ELTEbioinformatics/muleaData
Bug Reports https://support.bioconductor.org/tag/muleaData/issues
See More
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_0.99.1.tar.gz
Windows Binary
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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