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 (3.1)

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 1.10.0
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
LinkingTo
Suggests BSgenome.Hsapiens.UCSC.hg19, BSgenome
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source spliceR_1.10.0.tar.gz
Windows Binary spliceR_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) spliceR_1.10.0.tgz
Mac OS X 10.9 (Mavericks) spliceR_1.10.0.tgz
Browse/checkout source (username/password: readonly)
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