To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("roar")
In most cases, you don't need to download the package archive at all.
roar
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Identify differential APA usage from RNA-seq alignments
Bioconductor version: Release (3.1)
Identify preferential usage of APA sites, comparing two biological conditions, starting from known alternative sites and alignments obtained from standard RNA-seq experiments.
Author: Elena Grassi
Maintainer: Elena Grassi <grassi.e at gmail.com>
Citation (from within R,
enter citation("roar")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("roar")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("roar")
| R Script | Identify differential APA usage from RNA-seq alignments | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | HighThroughputSequencing, RNAseq, Sequencing, Software, Transcription |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (1.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.0.1) |
| Imports | GenomicRanges, GenomicAlignments(>= 0.99.4), methods, rtracklayer, S4Vectors |
| LinkingTo | |
| Suggests | RUnit, BiocGenerics, RNAseqData.HNRNPC.bam.chr14 |
| SystemRequirements | |
| Enhances | |
| URL | https://github.com/vodkatad/roar/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | roar_1.4.0.tar.gz |
| Windows Binary | roar_1.4.0.zip |
| Mac OS X 10.6 (Snow Leopard) | roar_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | roar_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/roar/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/roar/ |
| Package Downloads Report | Download Stats |
Documentation »
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