To install this package, start R and enter:

source("http://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: Release (3.0)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("spliceR")

Documentation

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

browseVignettes("spliceR")

 

PDF R Script spliceR Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, Sequencing, Software, Transcription, Visualization
Version 1.8.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>=2)
Depends R (>= 2.15.0), methods, cummeRbund, rtracklayer, VennDiagram, RColorBrewer, plyr
Imports GenomicRanges, IRanges
Suggests BSgenome.Hsapiens.UCSC.hg19, BSgenome
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source spliceR_1.8.0.tar.gz
Windows Binary spliceR_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) spliceR_1.8.0.tgz
Mac OS X 10.9 (Mavericks) spliceR_1.8.0.tgz
Browse/checkout source (username/password: readonly)
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