To install this package, start R and enter:

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

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

SimBindProfiles

Similar Binding Profiles

Bioconductor version: Release (3.0)

SimBindProfiles identifies common and unique binding regions in genome tiling array data. This package does not rely on peak calling, but directly compares binding profiles processed on the same array platform. It implements a simple threshold approach, thus allowing retrieval of commonly and differentially bound regions between datasets as well as events of compensation and increased binding.

Author: Bettina Fischer, Enrico Ferrero, Robert Stojnic, Steve Russell

Maintainer: Bettina Fischer <bef22 at cam.ac.uk>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SimBindProfiles")

 

PDF R Script SimBindProfiles: Similar Binding Profiles, identifies common and unique regions in array genome tiling array data
PDF   Reference Manual

Details

biocViews Microarray, Software
Version 1.4.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-3
Depends R (>= 2.10), methods, Ringo
Imports limma, mclust, Biobase
Suggests
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 SimBindProfiles_1.4.0.tar.gz
Windows Binary SimBindProfiles_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SimBindProfiles_1.4.0.tgz
Mac OS X 10.9 (Mavericks) SimBindProfiles_1.4.0.tgz
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