recipe bioconductor-slingshot

Provides functions for inferring continuous, branching lineage structures in low-dimensional data. Slingshot was designed to model developmental trajectories in single-cell RNA sequencing data and serve as a component in an analysis pipeline after dimensionality reduction and clustering. It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-slingshot/meta.yaml

package bioconductor-slingshot

Versions

1.0.0-0

Depends

• bioconductor-clusterexperiment >=2.2.0,<2.3.0

• bioconductor-singlecellexperiment >=1.4.0,<1.5.0

• bioconductor-summarizedexperiment >=1.12.0,<1.13.0

• r-ape

• r-base >=3.5.1,<3.5.2.0a0

• r-igraph

• r-matrixstats

• r-princurve >=2.0.4

• r-rgl

Required By

Installation

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

conda install bioconductor-slingshot

and update with:

conda update bioconductor-slingshot

or use the docker container:

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

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