recipe bioconductor-scone

Single Cell Overview of Normalized Expression data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/scone.html

License

Artistic-2.0

Recipe

/bioconductor-scone/meta.yaml

SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.

package bioconductor-scone

Versions

1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.1-0,  1.6.0-0

Depends

• bioconductor-aroma.light >=3.24.0,<3.25.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-edger >=3.36.0,<3.37.0

• bioconductor-limma >=3.50.0,<3.51.0

• bioconductor-matrixgenerics >=1.6.0,<1.7.0

• bioconductor-rhdf5 >=2.38.0,<2.39.0

• bioconductor-ruvseq >=1.28.0,<1.29.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• r-boot

• r-class

• r-cluster

• r-compositions

• r-diptest

• r-fpc

• r-gplots

• r-hexbin

• r-matrixstats

• r-mixtools

• r-rarpack

• r-rcolorbrewer

Required By

Installation

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

conda install bioconductor-scone

and update with:

conda update bioconductor-scone

or use the docker container:

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

(see bioconductor-scone/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-scone/README.html)