To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("geneRxCluster")

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

geneRxCluster

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see geneRxCluster.

gRx Differential Clustering

Bioconductor version: 3.4

Detect Differential Clustering of Genomic Sites such as gene therapy integrations. The package provides some functions for exploring genomic insertion sites originating from two different sources. Possibly, the two sources are two different gene therapy vectors. Vectors are preferred that target sensitive regions less frequently, motivating the search for localized clusters of insertions and comparison of the clusters formed by integration of different vectors. Scan statistics allow the discovery of spatial differences in clustering and calculation of False Discovery Rates (FDRs) providing statistical methods for comparing retroviral vectors. A scan statistic for comparing two vectors using multiple window widths to detect clustering differentials and compute FDRs is implemented here.

Author: Charles Berry

Maintainer: Charles Berry <ccberry at ucsd.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("geneRxCluster")

Documentation

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

browseVignettes("geneRxCluster")

 

PDF R Script Using geneRxCluster
PDF   Reference Manual

Details

biocViews Clustering, Genetics, Sequencing, Software
Version 1.10.0
In Bioconductor since BioC 2.14 (R-3.1) (3 years)
License GPL (>= 2)
Depends GenomicRanges, IRanges
Imports
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source geneRxCluster_1.10.0.tar.gz
Windows Binary geneRxCluster_1.10.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) geneRxCluster_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/geneRxCluster/tree/release-3.4
Package Short Url http://bioconductor.org/packages/geneRxCluster/
Package Downloads Report Download Stats

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