-
recipe
bioconductor-ribosomeprofilingqc
Ribosome Profiling Quality Control
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/ribosomeProfilingQC.html
- License
GPL (>=3) + file LICENSE
- Recipe
Ribo-Seq (also named ribosome profiling or footprinting) measures translatome (unlike RNA-Seq, which sequences the transcriptome) by direct quantification of the ribosome-protected fragments (RPFs). This package provides the tools for quality assessment of ribosome profiling. In addition, it can preprocess Ribo-Seq data for subsequent differential analysis.
-
package
bioconductor-ribosomeprofilingqc
¶ -
- Versions
1.2.0-0
,1.0.1-0
- Depends
bioconductor-annotationdbi
>=1.52.0,<1.53.0
bioconductor-biocgenerics
>=0.36.0,<0.37.0
bioconductor-biostrings
>=2.58.0,<2.59.0
bioconductor-bsgenome
>=1.58.0,<1.59.0
bioconductor-edaseq
>=2.24.0,<2.25.0
bioconductor-genomeinfodb
>=1.26.0,<1.27.0
bioconductor-genomicalignments
>=1.26.0,<1.27.0
bioconductor-genomicfeatures
>=1.42.0,<1.43.0
bioconductor-genomicranges
>=1.42.0,<1.43.0
bioconductor-iranges
>=2.24.0,<2.25.0
bioconductor-motifstack
>=1.34.0,<1.35.0
bioconductor-rsamtools
>=2.6.0,<2.7.0
bioconductor-rsubread
>=2.4.0,<2.5.0
bioconductor-rtracklayer
>=1.50.0,<1.51.0
bioconductor-ruvseq
>=1.24.0,<1.25.0
bioconductor-s4vectors
>=0.28.0,<0.29.0
bioconductor-xvector
>=0.30.0,<0.31.0
r-base
>=4.0,<4.1.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-ribosomeprofilingqc
and update with:
conda update bioconductor-ribosomeprofilingqc
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-ribosomeprofilingqc:<tag>
(see bioconductor-ribosomeprofilingqc/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-ribosomeprofilingqc/README.html)