recipe bioconductor-scrnaseqapp

A single-cell RNAseq Shiny app-package

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/scRNAseqApp.html

License:

GPL-3

Recipe:

/bioconductor-scrnaseqapp/meta.yaml

scRNAseqApp is a Shiny app package that allows users to visualize single cell data interactively. It was modified from ShinyCell and repackaged to a tool to show multiple data. It can visulize the data with multiple information side by side.

package bioconductor-scrnaseqapp

versions:

1.2.2-0,  1.0.1-0

depends bioconductor-complexheatmap:

>=2.18.0,<2.19.0

depends bioconductor-genomeinfodb:

>=1.38.0,<1.39.0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-slingshot:

>=2.10.0,<2.11.0

depends r-base:

>=4.3,<4.4.0a0

depends r-bibtex:

depends r-bslib:

depends r-circlize:

depends r-data.table:

depends r-dt:

depends r-ggdendro:

depends r-ggforce:

depends r-ggplot2:

depends r-ggrepel:

depends r-ggridges:

depends r-gridextra:

depends r-hdf5r:

depends r-htmltools:

depends r-jsonlite:

depends r-magrittr:

depends r-patchwork:

depends r-plotly:

depends r-rcolorbrewer:

depends r-refmanager:

depends r-scales:

depends r-scrypt:

depends r-seurat:

depends r-seuratobject:

depends r-shiny:

depends r-shinyhelper:

depends r-shinymanager:

depends r-sortable:

depends r-xfun:

depends r-xml2:

requirements:

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-scrnaseqapp

and update with::

   mamba update bioconductor-scrnaseqapp

To create a new environment, run:

mamba create --name myenvname bioconductor-scrnaseqapp

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-scrnaseqapp:<tag>

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

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-scrnaseqapp/README.html)