recipe bioconductor-rqc

Quality Control Tool for High-Throughput Sequencing Data

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-rqc/meta.yaml

Rqc is an optimised tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.

package bioconductor-rqc

Versions:

1.32.0-0,  1.28.0-2,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0, 

1.32.0-0,  1.28.0-2,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.2-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biocstyle >=2.26.0,<2.27.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-biovizbase >=1.46.0,<1.47.0

• bioconductor-genomicalignments >=1.34.0,<1.35.0

• bioconductor-genomicfiles >=1.34.0,<1.35.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-shortread >=1.56.0,<1.57.0

• 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-ggplot2

• r-knitr >=1.7

• r-markdown

• r-plyr

• r-rcpp >=0.11.6

• r-reshape2

• r-shiny

Required By:

• r-crisprcleanr

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-rqc

and update with:

conda update bioconductor-rqc

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-rqc:<tag>

(see bioconductor-rqc/tags for valid values for <tag>)

Download stats

Link to this page

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