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

QuasR

Quantify and Annotate Short Reads in R

Bioconductor version: 2.13

This package provides a framework for the quantification and analysis of Short Reads. It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest.

Author: Anita Lerch, Dimos Gaiditzis and Michael Stadler

Maintainer: Michael Stadler <michael.stadler at fmi.ch>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("QuasR")

 

PDF	R Script	An introduction to QuasR
PDF		Reference Manual
Text		NEWS

Details

biocViews	ChIPseq, Genetics, HighThroughputSequencing, Methylseq, Preprocessing, RNAseq, Software
Version	1.2.2
In Bioconductor since	BioC 2.12 (R-3.0)
License	GPL-2
Depends	R (>= 2.15.0), parallel, GenomicRanges(>= 1.13.3), Rbowtie
Imports	methods, zlibbioc, BiocGenerics, IRanges, BiocInstaller, Biobase, Biostrings, GenomicRanges, BSgenome, Rsamtools(>= 1.13.1), GenomicFeatures, ShortRead(>= 1.19.1)
Suggests	Rsamtools, rtracklayer, Gviz, RUnit, BiocStyle
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	QuasR_1.2.2.tar.gz
Windows Binary	QuasR_1.2.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	QuasR_1.2.2.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats