recipe bioconductor-epivizrstandalone

Run Epiviz Interactive Genomic Data Visualization App within R

Homepage

https://bioconductor.org/packages/3.11/bioc/html/epivizrStandalone.html

License

MIT + file LICENSE

Recipe

/bioconductor-epivizrstandalone/meta.yaml

Links

biotools: epivizrstandalone, doi: 10.1038/nmeth.3252

This package imports the epiviz visualization JavaScript app for genomic data interactive visualization. The 'epivizrServer' package is used to provide a web server running completely within R. This standalone version allows to browse arbitrary genomes through genome annotations provided by Bioconductor packages.

package bioconductor-epivizrstandalone

Versions

1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-epivizr >=2.18.0,<2.19.0

• bioconductor-epivizrserver >=1.16.0,<1.17.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicfeatures >=1.40.0,<1.41.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• r-base >=4.0,<4.1.0a0

• r-git2r

Required By

• bioconductor-metavizr

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-epivizrstandalone

and update with:

conda update bioconductor-epivizrstandalone

or use the docker container:

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

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

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-epivizrstandalone/README.html)