- recipe bioconductor-rgadem
de novo motif discovery
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/rGADEM.html
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: rgadem, doi: 10.1371/journal.pone.0016432
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.
- package bioconductor-rgadem¶
-
- Versions:
2.46.0-0
,2.42.0-2
,2.42.0-1
,2.42.0-0
,2.40.0-0
,2.38.0-1
,2.38.0-0
,2.36.0-0
,2.34.0-0
,2.46.0-0
,2.42.0-2
,2.42.0-1
,2.42.0-0
,2.40.0-0
,2.38.0-1
,2.38.0-0
,2.36.0-0
,2.34.0-0
,2.32.0-1
,2.30.0-0
,2.28.0-0
,2.26.0-0
,2.24.0-0
,2.22.0-0
- Depends:
bioconductor-biostrings
>=2.66.0,<2.67.0
bioconductor-bsgenome
>=1.66.0,<1.67.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-seqlogo
>=1.64.0,<1.65.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-rgadem
and update with:
conda update bioconductor-rgadem
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-rgadem:<tag>
(see bioconductor-rgadem/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rgadem/README.html)