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.
Bioconductor version: 2.13
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:
source("http://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")
R Script | spliceR Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, DifferentialExpression, HighThroughputSequencing, HighThroughputSequencingData, RNAseq, RNAseqData, Software, software, visualization |
Version | 1.3.1 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | spliceR_1.3.1.tar.gz |
Windows Binary | spliceR_1.3.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | spliceR_1.3.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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