recipe bioconductor-ncdfflow

Provides HDF5 storage based methods and functions for manipulation of flow cytometry data.

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-ncdfflow/meta.yaml

Links

biotools: ncdfflow, doi: 10.1016/j.copbio.2012.09.003

package bioconductor-ncdfflow

Versions

2.30.1-0, 2.28.1-0, 2.28.0-0, 2.26.0-0, 2.24.0-1, 2.24.0-0, 2.22.2-0, 2.22.0-0

Depends

• bioconductor-biobase >=2.44.0,<2.45.0

• bioconductor-biocgenerics >=0.30.0,<0.31.0

• bioconductor-flowcore >=1.50.0,<1.51.0

• bioconductor-flowviz >=1.48.0,<1.49.0

• bioconductor-rhdf5lib >=1.6.0,<1.7.0

• bioconductor-zlibbioc >=1.30.0,<1.31.0

• libgcc-ng >=7.3.0

• libstdcxx-ng >=7.3.0

• r-base >=3.6,<3.7.0a0

• r-bh

• r-rcpp

• r-rcpparmadillo

Required By

• bioconductor-flowworkspace

• bioconductor-cytoml

• bioconductor-opencyto

• bioconductor-ggcyto

• bioconductor-qualifier

• bioconductor-flowstats

Installation

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

conda install bioconductor-ncdfflow

and update with:

conda update bioconductor-ncdfflow

or use the docker container:

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

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