To install this package, start R and enter:

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

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

riboSeqR

Analysis of sequencing data from ribosome profiling experiments.

Bioconductor version: Release (3.1)

Plotting functions, frameshift detection and parsing of sequencing data from ribosome profiling experiments.

Author: Thomas J. Hardcastle

Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>

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

To install this package, start R and enter:

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

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

browseVignettes("riboSeqR")

biocViews	Genetics, Sequencing, Software, Visualization
Version	1.2.0
In Bioconductor since	BioC 3.0 (R-3.1) (1 year)
License	GPL-3
Depends	R (>= 3.0.2), methods, GenomicRanges, abind
Imports
LinkingTo
Suggests	baySeq, BiocStyle, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	riboSeqR_1.2.0.tar.gz
Windows Binary	riboSeqR_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	riboSeqR_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	riboSeqR_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/riboSeqR/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/riboSeqR/
Package Downloads Report	Download Stats

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