To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("REDseq")

In most cases, you don't need to download the package archive at all.

REDseq

Analysis of high-throughput sequencing data processed by restriction enzyme digestion

Bioconductor version: 3.1

The package includes functions to build restriction enzyme cut site (RECS) map, distribute mapped sequences on the map with five different approaches, find enriched/depleted RECSs for a sample, and identify differentially enriched/depleted RECSs between samples.

Author: Lihua Julie Zhu and Thomas Fazzio

Maintainer: Lihua Julie Zhu <julie.zhu at umassmed.edu>

Citation (from within R, enter citation("REDseq")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("REDseq")

Documentation

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

browseVignettes("REDseq")

 

PDF R Script REDseq Vignette
PDF   Reference Manual

Details

biocViews Preprocessing, SequenceMatching, Sequencing, Software
Version 1.14.1
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License GPL (>=2)
Depends R (>= 2.15.0), BiocGenerics(>= 0.1.0), BSgenome.Celegans.UCSC.ce2, multtest, Biostrings, BSgenome, ChIPpeakAnno
Imports BiocGenerics, AnnotationDbi, Biostrings, ChIPpeakAnno, graphics, IRanges(>= 1.13.5), multtest, stats, utils
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Package Archives

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

Package Source REDseq_1.14.1.tar.gz
Windows Binary REDseq_1.14.1.zip
Mac OS X 10.6 (Snow Leopard) REDseq_1.14.1.tgz
Mac OS X 10.9 (Mavericks) REDseq_1.14.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/REDseq/tree/release-3.1
Package Short Url http://bioconductor.org/packages/REDseq/
Package Downloads Report Download Stats

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