- recipe r-shinyngs
Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.
- Homepage:
- License:
AGPL / AGPL-3.0
- Recipe:
- package r-shinyngs¶
-
- Versions:
2.3.0-0,2.2.4-1,2.2.4-0,2.2.3-0,2.2.2-0,2.2.0-0,2.1.0-0,2.0.0-1,2.0.0-0,2.3.0-0,2.2.4-1,2.2.4-0,2.2.3-0,2.2.2-0,2.2.0-0,2.1.0-0,2.0.0-1,2.0.0-0,1.8.8-0,1.8.7-0,1.8.6-0,1.8.5-0,1.8.4-0,1.8.3-0,1.8.2-0,1.8.1-0,1.8.0-0,1.7.2-2,1.7.2-1,1.7.2-0,1.7.1-1,1.7.1-0,1.6.1-0,1.6.0-1,1.6.0-0,1.5.9-0,1.5.8-0,1.5.6-1,1.5.6-0,1.5.5-0,1.5.4-0,1.5.3-0,1.5.1-0,1.5.0-0,1.4.2-3,1.4.2-2,1.4.2-1,1.4.2-0,1.4.1-0,1.4.0-0,1.3.2-0,1.3.0-1,1.3.0-0,1.2.0-0,1.1.0-0,1.0.1-0,1.0.0-0- Depends:
on bioconductor-gseabase
on bioconductor-limma
on bioconductor-summarizedexperiment
on pandoc
on r-base
>=4.4,<4.5.0a0on r-base64enc
on r-biocmanager
on r-cluster
on r-cpp11
on r-data.table
on r-dendextend
>=0.18.0on r-dplyr
on r-dt
>=0.2on r-ggdendro
on r-ggplot2
on r-htmlwidgets
on r-markdown
on r-optparse
on r-pheatmap
on r-plotly
>=4.3.4on r-plyr
on r-png
on r-rcolorbrewer
on r-reshape2
on r-rmarkdown
on r-rsconnect
on r-scales
>=0.2.5on r-scatterplot3d
on r-shiny
on r-shinybs
on r-shinyjs
on r-shinythemes
on r-stringi
>=1.7.12on r-yaml
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install r-shinyngs
to add into an existing workspace instead, run:
pixi add r-shinyngs
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install r-shinyngs
Alternatively, to install into a new environment, run:
conda create -n envname r-shinyngs
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/r-shinyngs:<tag>
(see r-shinyngs/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-shinyngs/README.html)