To install this package, start R and enter:

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

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

spliceR

Classification of alternative splicing and prediction of coding potential from RNA-seq data.

Bioconductor version: 3.2

An R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.

Author: Johannes Waage <johannes.waage at gmail.com>, Kristoffer Vitting-Seerup <k.vitting.seerup at gmail.com>

Maintainer: Johannes Waage <johannes.waage at gmail.com>, Kristoffer Vitting-Seerup <k.vitting.seerup at gmail.com>

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

To install this package, start R and enter:

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

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

browseVignettes("spliceR")

biocViews	AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, Sequencing, Software, Transcription, Visualization
Version	1.12.0
In Bioconductor since	BioC 2.13 (R-3.0) (2.5 years)
License	GPL (>=2)
Depends	R (>= 2.15.0), methods, cummeRbund, rtracklayer, VennDiagram, RColorBrewer, plyr
Imports	GenomicRanges, IRanges
LinkingTo
Suggests	BSgenome.Hsapiens.UCSC.hg19, BSgenome
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	spliceR_1.12.0.tar.gz
Windows Binary	spliceR_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	spliceR_1.12.0.tgz
Mac OS X 10.9 (Mavericks)	spliceR_1.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/spliceR/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/spliceR/
Package Downloads Report	Download Stats

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