To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("MMDiff")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package detects statistically significant difference between read enrichment profiles in different ChIP-Seq samples. To take advantage of shape differences it uses Kernel methods (Maximum Mean Discrepancy, MMD).
Author: Gabriele Schweikert
Maintainer: Gabriele Schweikert <G.Schweikert at ed.ac.uk>
Citation (from within R,
enter citation("MMDiff")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("MMDiff")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MMDiff")
R Script | Analysing ChIP-Seq data with the "MMDiff" package | |
Reference Manual |
biocViews | ChIPseq, MultipleComparisons, Software |
Version | 1.2.1 |
In Bioconductor since | BioC 2.12 (R-3.0) |
License | Artistic-2.0 |
Depends | R (>= 2.14.0), GenomicRanges, parallel, DiffBind, GMD, Rsamtools |
Imports | GenomicRanges, IRanges, Biobase |
Suggests | MMDiffBamSubset |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | MMDiffBamSubset |
Follow Installation instructions to use this package in your R session.
Package Source | MMDiff_1.2.1.tar.gz |
Windows Binary | MMDiff_1.2.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | MMDiff_1.2.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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