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 (2.14)

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 DifferentialExpression, RNASeq, RNAseqData, Sequencing, Software, Visualization, software
Version 1.4.1
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_1.4.1.tar.gz
Windows Binary spliceR_1.4.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) spliceR_1.4.1.tgz
Mac OS X 10.9 (Mavericks) spliceR_1.4.1.tgz
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center