To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SimBindProfiles")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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:
## try http:// if https:// URLs are not supported source("https://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 | 1.14.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (4 years) |
License | GPL-3 |
Depends | R (>= 2.10), methods, Ringo |
Imports | limma, mclust, Biobase |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SimBindProfiles_1.14.0.tar.gz |
Windows Binary | SimBindProfiles_1.14.0.zip |
Mac OS X 10.11 (El Capitan) | SimBindProfiles_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SimBindProfiles |
Package Short Url | http://bioconductor.org/packages/SimBindProfiles/ |
Package Downloads Report | Download Stats |
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