recipe bioconductor-epivizrstandalone

Run Epiviz Interactive Genomic Data Visualization App within R

Homepage:

https://bioconductor.org/packages/3.18/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

(downloads) docker_bioconductor-epivizrstandalone

versions:
1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0, 

1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  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:

>=0.48.0,<0.49.0

depends bioconductor-epivizr:

>=2.32.0,<2.33.0

depends bioconductor-epivizrserver:

>=1.30.0,<1.31.0

depends bioconductor-genomeinfodb:

>=1.38.0,<1.39.0

depends bioconductor-genomicfeatures:

>=1.54.0,<1.55.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends r-base:

>=4.3,<4.4.0a0

depends r-git2r:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-epivizrstandalone

and update with::

   mamba update bioconductor-epivizrstandalone

To create a new environment, run:

mamba create --name myenvname bioconductor-epivizrstandalone

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

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

Download stats

Link to this page

Render an install-with-bioconda 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)