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.
Bioconductor version: 2.13
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("SimBindProfiles")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SimBindProfiles")
R Script | SimBindProfiles: Similar Binding Profiles, identifies common and unique regions in array genome tiling array data | |
Reference Manual |
biocViews | Microarray, Software |
Version | 1.0.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | SimBindProfiles_1.0.0.tar.gz |
Windows Binary | SimBindProfiles_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | SimBindProfiles_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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