To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rGADEM")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
rGADEM is an efficient de novo motif discovery tool for large-scale genomic sequence data. It is an open-source R package, which is based on the GADEM software.
Author: Arnaud Droit, Raphael Gottardo, Gordon Robertson and Leiping Li
Maintainer: Arnaud Droit <arnaud.droit at crchuq.ulaval.ca>
Citation (from within R,
enter citation("rGADEM")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rGADEM")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rGADEM")
R Script | The rGADEM users guide | |
Reference Manual |
biocViews | ChIPSeq, ChIPchip, Microarray, MotifDiscovery, Sequencing, Software |
Version | 2.22.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (7 years) |
License | Artistic-2.0 |
Depends | R (>= 2.11.0), Biostrings, IRanges, BSgenome, methods, seqLogo |
Imports | Biostrings, IRanges, methods, graphics, seqLogo |
LinkingTo | |
Suggests | BSgenome.Hsapiens.UCSC.hg19 |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | MotIV |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | rGADEM_2.22.0.tar.gz |
Windows Binary | rGADEM_2.22.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | rGADEM_2.22.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/rGADEM/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/rGADEM/ |
Package Downloads Report | Download Stats |
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