recipe bioconductor-singlecelltk

Run common single cell analysis directly through your browser including differential expression, downsampling analysis, and clustering.

Homepage

https://bioconductor.org/packages/3.8/bioc/html/singleCellTK.html

License

MIT + file LICENSE

Recipe

/bioconductor-singlecelltk/meta.yaml

package bioconductor-singlecelltk

Versions

1.2.3-0

Depends

• bioconductor-annotationdbi >=1.44.0,<1.45.0

• bioconductor-biobase >=2.42.0,<2.43.0

• bioconductor-complexheatmap >=1.20.0,<1.21.0

• bioconductor-delayedarray >=0.8.0,<0.9.0

• bioconductor-deseq2 >=1.22.0,<1.23.0

• bioconductor-ggtree >=1.14.0,<1.15.0

• bioconductor-gsva >=1.30.0,<1.31.0

• bioconductor-gsvadata >=1.18.0,<1.19.0

• bioconductor-limma >=3.38.0,<3.39.0

• bioconductor-mast >=1.8.0,<1.9.0

• bioconductor-multtest >=2.38.0,<2.39.0

• bioconductor-s4vectors >=0.20.0,<0.21.0

• bioconductor-singlecellexperiment >=1.4.0,<1.5.0

• bioconductor-summarizedexperiment >=1.12.0,<1.13.0

• bioconductor-sva >=3.30.0,<3.31.0

• r-ape

• r-base >=3.5.1,<3.5.2.0a0

• r-circlize

• r-cluster

• r-colourpicker

• r-data.table

• r-dt

• r-enrichr

• r-ggplot2

• r-gridextra

• r-matrixstats

• r-plotly

• r-rcolorbrewer

• r-reshape2

• r-rtsne

• r-shiny

• r-shinyalert

• r-shinycssloaders

• r-shinyjs

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-singlecelltk

and update with:

conda update bioconductor-singlecelltk

or use the docker container:

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

(see bioconductor-singlecelltk/tags for valid values for <tag>)

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-singlecelltk/README.html)