- recipe bioconductor-motif2site
Detect binding sites from motifs and ChIP-seq experiments, and compare binding sites across conditions
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/Motif2Site.html
- License:
GPL-2
- Recipe:
Detect binding sites using motifs IUPAC sequence or bed coordinates and ChIP-seq experiments in bed or bam format. Combine/compare binding sites across experiments, tissues, or conditions. All normalization and differential steps are done using TMM-GLM method. Signal decomposition is done by setting motifs as the centers of the mixture of normal distribution curves.
- package bioconductor-motif2site¶
-
- Versions:
1.2.0-0
- Depends:
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-biostrings
>=2.66.0,<2.67.0
bioconductor-bsgenome
>=1.66.0,<1.67.0
bioconductor-edger
>=3.40.0,<3.41.0
bioconductor-genomeinfodb
>=1.34.0,<1.35.0
bioconductor-genomicalignments
>=1.34.0,<1.35.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-motif2site
and update with:
conda update bioconductor-motif2site
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-motif2site:<tag>
(see bioconductor-motif2site/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-motif2site/README.html)