recipe bioconductor-flowsom

Using self-organizing maps for visualization and interpretation of cytometry data

Homepage

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

License

GPL (>= 2)

Recipe

/bioconductor-flowsom/meta.yaml

Links

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

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

package bioconductor-flowsom

Versions

1.20.0-0, 1.18.0-0, 1.16.0-1, 1.14.1-0, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.8.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-consensusclusterplus >=1.52.0,<1.53.0

• bioconductor-cytoml >=2.0.0,<2.1.0

• bioconductor-flowcore >=2.0.0,<2.1.0

• bioconductor-flowworkspace >=4.0.0,<4.1.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.5.0

• liblapack >=3.8.0,<3.9.0a0

• r-base >=4.0,<4.1.0a0

• r-igraph

• r-rcolorbrewer

• r-tsne

• r-xml

Required By

• bioconductor-catalyst

• ig-flowtools

• bioconductor-metacyto

• bioconductor-diffcyt

• bioconductor-flowspy

• bioconductor-cytofast

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)