recipe bioconductor-genvisr

Genomic Visualizations in R

Homepage:

https://bioconductor.org/packages/3.14/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:

1.26.0-0,  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, 

1.26.0-0,  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 >=1.56.0,<1.57.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biomart >=2.50.0,<2.51.0

• bioconductor-biostrings >=2.62.0,<2.63.0

• bioconductor-bsgenome >=1.62.0,<1.63.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicfeatures >=1.46.0,<1.47.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-rsamtools >=2.10.0,<2.11.0

• bioconductor-variantannotation >=1.40.0,<1.41.0

• r-base >=4.1,<4.2.0a0

• r-data.table

• r-dbi

• r-ffield

• 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

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