recipe bioconductor-flowspy

A Toolkit for Flow And Mass Cytometry Data

Homepage

https://bioconductor.org/packages/3.10/bioc/html/flowSpy.html

License

GPL-3

Recipe

/bioconductor-flowspy/meta.yaml

A trajectory inference and visualization toolkit for flow and mass cytometry data. flowSpy offers complete analyzing workflow for flow and mass cytometry data. flowSpy can be a valuable tool for application ranging from clustering and dimensionality reduction to trajectory reconstruction and pseudotime estimation for flow and mass cytometry data.

package bioconductor-flowspy

Versions

1.0.0-0

Depends

• bioconductor-biobase >=2.46.0,<2.47.0

• bioconductor-biocneighbors >=1.4.0,<1.5.0

• bioconductor-destiny >=2.15.0,<2.16.0

• bioconductor-flowcore >=1.52.0,<1.53.0

• bioconductor-flowsom >=1.18.0,<1.19.0

• bioconductor-flowutils >=1.50.0,<1.51.0

• bioconductor-limma >=3.42.0,<3.43.0

• bioconductor-sva >=3.34.0,<3.35.0

• libgcc-ng >=7.3.0

• libstdcxx-ng >=7.3.0

• r-base >=3.6,<3.7.0a0

• r-cluster

• r-ggplot2

• r-gmodels

• r-igraph

• r-matrix

• r-matrixstats

• r-mclust

• r-pheatmap

• r-prettydoc

• r-rann >=2.5

• r-rcpp >=0.12.0

• r-rtsne

• r-scatterpie

• r-scatterplot3d

• r-stringr

• r-umap

Required By

Installation

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

conda install bioconductor-flowspy

and update with:

conda update bioconductor-flowspy

or use the docker container:

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

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