To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("rTRM")

In most cases, you don't need to download the package archive at all.

rTRM

Identification of transcriptional regulatory modules from PPI networks

Bioconductor version: 3.1

rTRM identifies transcriptional regulatory modules (TRMs) from protein-protein interaction networks.

Author: Diego Diez

Maintainer: Diego Diez <diego10ruiz at gmail.com>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("rTRM")

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

browseVignettes("rTRM")

biocViews	GeneRegulation, GraphAndNetwork, Network, Software, Transcription
Version	1.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (2 years)
License	GPL-3
Depends	R (>= 2.10), igraph (>= 0.7), RSQLite
Imports	AnnotationDbi
LinkingTo
Suggests	RUnit, BiocGenerics, MotifDb, graph, PWMEnrich, biomaRt, knitr, Biostrings, BSgenome.Mmusculus.UCSC.mm8.masked, org.Hs.eg.db, org.Mm.eg.db, ggplot2
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	rTRMui
Suggests Me
Build Report

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

Package Source	rTRM_1.6.0.tar.gz
Windows Binary	rTRM_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)	rTRM_1.6.0.tgz
Mac OS X 10.9 (Mavericks)	rTRM_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/rTRM/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/rTRM/
Package Downloads Report	Download Stats

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