recipe bioconductor-scone

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.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/scone.html

License

Artistic-2.0

Recipe

/bioconductor-scone/meta.yaml

package bioconductor-scone

(downloads) docker_bioconductor-scone

Versions

1.6.1-0, 1.6.0-0

Depends bioconductor-aroma.light

>=3.12.0,<3.13.0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-edger

>=3.24.0,<3.25.0

Depends bioconductor-limma

>=3.38.0,<3.39.0

Depends bioconductor-rhdf5

>=2.26.0,<2.27.0

Depends bioconductor-ruvseq

>=1.16.0,<1.17.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-boot

Depends r-class

Depends r-cluster

Depends r-compositions

Depends r-diptest

Depends r-fpc

Depends r-gplots

Depends r-hexbin

Depends r-matrixstats

Depends r-mixtools

Depends r-rarpack

Depends r-rcolorbrewer

Requirements

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>)

Link to this page

Render an install-with-bioconda 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)