- recipe bioconductor-ribodipa
Differential pattern analysis for Ribo-seq data
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/RiboDiPA.html
- License:
LGPL (>= 3)
- Recipe:
This package performs differential pattern analysis for Ribo-seq data. It identifies genes with significantly different patterns in the ribosome footprint between two conditions. RiboDiPA contains five major components including bam file processing, P-site mapping, data binning, differential pattern analysis and footprint visualization.
- package bioconductor-ribodipa¶
-
- Versions:
1.6.0-0
,1.2.0-2
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocfilecache
>=2.6.0,<2.7.0
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-deseq2
>=1.38.0,<1.39.0
bioconductor-genomicalignments
>=1.34.0,<1.35.0
bioconductor-genomicfeatures
>=1.50.0,<1.51.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-qvalue
>=2.30.0,<2.31.0
bioconductor-rsamtools
>=2.14.0,<2.15.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
libstdcxx-ng
>=12
r-base
>=4.2,<4.3.0a0
r-rcpp
>=1.0.2
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-ribodipa
and update with:
conda update bioconductor-ribodipa
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-ribodipa:<tag>
(see bioconductor-ribodipa/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-ribodipa/README.html)