Package Recipe 'bioconductor-chevreulshiny'

recipe bioconductor-chevreulshiny

Tools for managing SingleCellExperiment objects as projects

Homepage:: https://bioconductor.org/packages/3.22/bioc/html/chevreulShiny.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-chevreulshiny/meta.yaml

Tools for managing SingleCellExperiment objects as projects. Includes functions for analysis and visualization of single-cell data. Also included is a shiny app for visualization of pre-processed scRNA data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.

package bioconductor-chevreulshiny¶

Versions:

1.2.0-0

Depends:

on bioconductor-alabaster.base >=1.10.0,<1.11.0
on bioconductor-chevreulplot >=1.2.0,<1.3.0
on bioconductor-chevreulprocess >=1.2.0,<1.3.0
on bioconductor-complexheatmap >=2.26.0,<2.27.0
on bioconductor-enhancedvolcano >=1.28.0,<1.29.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on bioconductor-wiggleplotr >=1.34.0,<1.35.0
on r-base >=4.5,<4.6.0a0
on r-clustree
on r-dataeditr >=0.0.9
on r-dbi
on r-dplyr
on r-dt
on r-fs
on r-future
on r-ggplot2
on r-ggplotify
on r-patchwork
on r-plotly
on r-purrr
on r-rappdirs
on r-readr
on r-rsqlite
on r-scales
on r-shiny >=1.6.0
on r-shinydashboard
on r-shinyfiles
on r-shinyhelper
on r-shinyjs
on r-shinywidgets
on r-stringr
on r-tibble
on r-tidyr
on r-tidyselect
on r-waiter

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 bioconductor-chevreulshiny

to add into an existing workspace instead, run:

pixi add bioconductor-chevreulshiny

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 bioconductor-chevreulshiny

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-chevreulshiny

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/bioconductor-chevreulshiny:<tag>

(see bioconductor-chevreulshiny/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:

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