To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TransView")

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

TransView

Read density map construction and accession. Visualization of ChIPSeq and RNASeq data sets.

Bioconductor version: 3.2

This package provides efficient tools to generate, access and display read densities of sequencing based data sets such as from RNA-Seq and ChIP-Seq.

Author: Julius Muller

Maintainer: Julius Muller <ju-mu at alumni.ethz.ch>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TransView")

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

browseVignettes("TransView")

PDF		An introduction to TransView
PDF		Reference Manual
Text		NEWS

biocViews	ChIPSeq, Clustering, DNAMethylation, DataImport, GeneExpression, MethylSeq, Microarray, MultipleComparison, RNASeq, Sequencing, Software, Transcription, Visualization
Version	1.14.0
In Bioconductor since	BioC 2.11 (R-2.15) (3.5 years)
License	GPL-3
Depends	methods, GenomicRanges
Imports	Rsamtools(>= 1.19.38), zlibbioc, gplots, IRanges
LinkingTo	Rsamtools
Suggests	RUnit, pasillaBamSubset
SystemRequirements
Enhances
URL	http://bioconductor.org/packages/release/bioc/html/TransView.html
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	TransView_1.14.0.tar.gz
Windows Binary	TransView_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	TransView_1.14.0.tgz
Mac OS X 10.9 (Mavericks)	TransView_1.14.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/TransView/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/TransView/
Package Downloads Report	Download Stats

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