recipe bioconductor-sc3

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

Homepage

https://bioconductor.org/packages/3.9/bioc/html/SC3.html

License

GPL-3

Recipe

/bioconductor-sc3/meta.yaml

Links

biotools: sc3

package bioconductor-sc3

Versions

1.10.0-0, 1.8.0-0, 1.7.6-0

Depends bioconductor-biocgenerics

>=0.28.0,<0.29.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends bioconductor-singlecellexperiment

>=1.4.0,<1.5.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends libgcc-ng

>=7.3.0

Depends libstdcxx-ng

>=7.3.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-cluster

Depends r-doparallel

Depends r-dorng

Depends r-e1071

Depends r-foreach

Depends r-ggplot2

Depends r-pheatmap

>=1.0.8

Depends r-rcpp

>=0.11.1

Depends r-rcpparmadillo

Depends r-robustbase

Depends r-rocr

Depends r-rrcov

Depends r-shiny

Depends r-writexls

Requirements

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)