recipe r-shinyngs

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.






package r-shinyngs

(downloads) docker_r-shinyngs



depends bioconductor-gseabase:

depends bioconductor-limma:

depends bioconductor-summarizedexperiment:

depends pandoc:


depends r-base:


depends r-base64enc:

depends r-biocmanager:

depends r-cluster:

depends r-cpp11:

depends r-data.table:

depends r-dendextend:


depends r-dplyr:

depends r-dt:


depends r-ggdendro:

depends r-ggplot2:

depends r-htmlwidgets:

depends r-markdown:

depends r-optparse:

depends r-pheatmap:

depends r-plotly:


depends r-plyr:

depends r-png:

depends r-rcolorbrewer:

depends r-reshape2:

depends r-rmarkdown:

depends r-rsconnect:

depends r-scales:


depends r-scatterplot3d:

depends r-shiny:

depends r-shinybs:

depends r-shinyjs:

depends r-shinythemes:

depends r-stringi:


depends r-yaml:



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 r-shinyngs

and update with::

   mamba update r-shinyngs

To create a new environment, run:

mamba create --name myenvname r-shinyngs

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<tag>

(see `r-shinyngs/tags`_ for valid values for ``<tag>``)

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