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RTN

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

RTN: Reconstruction of Transcriptional regulatory Networks and analysis of regulons


Bioconductor version: Development (3.19)

A transcriptional regulatory network (TRN) consists of a collection of transcription factors (TFs) and the regulated target genes. TFs are regulators that recognize specific DNA sequences and guide the expression of the genome, either activating or repressing the expression the target genes. The set of genes controlled by the same TF forms a regulon. This package provides classes and methods for the reconstruction of TRNs and analysis of regulons.

Author: Clarice Groeneveld [ctb], Gordon Robertson [ctb], Xin Wang [aut], Michael Fletcher [aut], Florian Markowetz [aut], Kerstin Meyer [aut], and Mauro Castro [aut]

Maintainer: Mauro Castro <mauro.a.castro at gmail.com>

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

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("RTN")

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

Documentation

Reference Manual PDF

Details

biocViews GeneExpression, GeneRegulation, GeneSetEnrichment, GeneticVariability, GraphAndNetwork, Network, NetworkEnrichment, NetworkInference, Software, Transcription
Version 2.27.1
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License Artistic-2.0
Depends R (>= 3.6.3), methods
Imports RedeR, minet, viper, mixtools, snow, stats, limma, data.table, IRanges, igraph, S4Vectors, SummarizedExperiment, car, pwr, pheatmap, grDevices, graphics, utils
System Requirements
URL http://dx.doi.org/10.1038/ncomms3464
See More
Suggests RUnit, BiocGenerics, BiocStyle, knitr, rmarkdown
Linking To
Enhances
Depends On Me Fletcher2013b, RTNduals, RTNsurvival
Imports Me
Suggests Me geneplast
Links To Me
Build Report Build Report

Package Archives

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

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