recipe bioconductor-genvisr

Genomic Visualizations in R

Homepage:

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

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-genvisr/meta.yaml

Links:

biotools: genvisr

Produce highly customizable publication quality graphics for genomic data primarily at the cohort level.

package bioconductor-genvisr

Versions:

1.29.3-0,  1.26.0-0,  1.24.0-0,  1.22.1-0,  1.22.0-0,  1.20.0-0,  1.18.1-0,  1.16.0-1,  1.14.2-0, 

1.29.3-0,  1.26.0-0,  1.24.0-0,  1.22.1-0,  1.22.0-0,  1.20.0-0,  1.18.1-0,  1.16.0-1,  1.14.2-0,  1.14.1-1,  1.14.1-0,  1.12.1-0,  1.8.0-0,  1.6.3-0

Depends:

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biomart >=2.54.0,<2.55.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-bsgenome >=1.66.0,<1.67.0

• bioconductor-genomeinfodb >=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-rsamtools >=2.14.0,<2.15.0

• bioconductor-variantannotation >=1.44.0,<1.45.0

• r-base >=4.2,<4.3.0a0

• r-data.table

• r-dbi

• r-ggplot2 >=2.1.0

• r-gridextra >=2.0.0

• r-gtable

• r-gtools

• r-plyr >=1.8.3

• r-reshape2

• r-scales

• r-viridis

Required By:

Installation

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

conda install bioconductor-genvisr

and update with:

conda update bioconductor-genvisr

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-genvisr/README.html)