recipe bioconductor-flowsom

FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.

Homepage

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

License

GPL (>= 2)

Recipe

/bioconductor-flowsom/meta.yaml

Links

biotools: flowsom, doi: 10.1002/cyto.a.22625

package bioconductor-flowsom

Versions

1.14.1-0, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.8.0-0

Depends

• bioconductor-biocgenerics >=0.28.0,<0.29.0

• bioconductor-consensusclusterplus >=1.46.0,<1.47.0

• bioconductor-flowcore >=1.48.0,<1.49.0

• bioconductor-flowutils >=1.46.0,<1.47.0

• libgcc-ng >=7.3.0

• r-base >=3.5.1,<3.5.2.0a0

• r-igraph

• r-tsne

• r-xml

Required By

• ig-flowtools

• bioconductor-catalyst

• bioconductor-metacyto

• bioconductor-diffcyt

Installation

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

conda install bioconductor-flowsom

and update with:

conda update bioconductor-flowsom

or use the docker container:

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

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