To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("rGADEM")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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 | ChIPchip, ChIPseq, GenomicSequence, Microarray, MotifDiscovery, Sequencing, Software | 
| Version | 2.10.0 | 
| In Bioconductor since | BioC 2.6 (R-2.11) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.11.0), Biostrings, IRanges, BSgenome, methods, seqLogo | 
| Imports | Biostrings, IRanges, methods, graphics, seqLogo | 
| Suggests | BSgenome.Hsapiens.UCSC.hg18 | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | MotIV | 
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | rGADEM_2.10.0.tar.gz | 
| Windows Binary | rGADEM_2.10.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | rGADEM_2.10.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!