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.
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see geneRxCluster.
Bioconductor version: 3.0
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("geneRxCluster")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("geneRxCluster")
R Script | Using geneRxCluster | |
Reference Manual |
biocViews | Clustering, Genetics, Sequencing, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (2 years) |
License | GPL (>= 2) |
Depends | GenomicRanges, IRanges |
Imports | |
LinkingTo | |
Suggests | RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | geneRxCluster_1.2.0.tar.gz |
Windows Binary | geneRxCluster_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | geneRxCluster_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | geneRxCluster_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/geneRxCluster/tree/release-3.0 |
Package Short Url | http://bioconductor.org/packages/geneRxCluster/ |
Package Downloads Report | Download Stats |
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