recipe bioconductor-sc3

Single-Cell Consensus Clustering

Homepage

https://bioconductor.org/packages/3.11/bioc/html/SC3.html

License

GPL-3

Recipe

/bioconductor-sc3/meta.yaml

Links

biotools: sc3

A tool for unsupervised clustering and analysis of single cell RNA-Seq data.

package bioconductor-sc3

Versions

1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.7.6-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-singlecellexperiment >=1.10.0,<1.11.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• libstdcxx-ng >=7.3.0

• r-base >=4.0,<4.1.0a0

• r-cluster

• r-doparallel

• r-dorng

• r-e1071

• r-foreach

• r-ggplot2

• r-pheatmap >=1.0.8

• r-rcpp >=0.11.1

• r-rcpparmadillo

• r-robustbase

• r-rocr

• r-rrcov

• r-shiny

• r-writexls

Required By

• sc3-scripts

Installation

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

conda install bioconductor-sc3

and update with:

conda update bioconductor-sc3

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-sc3:<tag>

(see bioconductor-sc3/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-sc3/README.html)