recipe bioconductor-ribosomeprofilingqc

Ribosome Profiling Quality Control

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/ribosomeProfilingQC.html

License:

GPL (>=3) + file LICENSE

Recipe:

/bioconductor-ribosomeprofilingqc/meta.yaml

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:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.2.0-0,  1.0.1-0

Depends:

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• 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-edaseq >=2.32.0,<2.33.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• 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-motifstack >=1.42.0,<1.43.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-rsubread >=2.12.0,<2.13.0

• bioconductor-rtracklayer >=1.58.0,<1.59.0

• bioconductor-ruvseq >=1.32.0,<1.33.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-xvector >=0.38.0,<0.39.0

• r-base >=4.2,<4.3.0a0

• r-cluster

• r-ggfittext

• r-ggplot2

• r-ggrepel

• r-scales

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

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