recipe bioconductor-flowcybar

Analyze flow cytometric data using gate information

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/flowCyBar.html

License:

GPL-2

Recipe:

/bioconductor-flowcybar/meta.yaml

A package to analyze flow cytometric data using gate information to follow population/community dynamics

package bioconductor-flowcybar

(downloads) docker_bioconductor-flowcybar

versions:
1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0, 

1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.0-1,  1.20.0-0,  1.18.1-0

depends r-base:

>=4.3,<4.4.0a0

depends r-gplots:

depends r-vegan:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-flowcybar

and update with::

   mamba update bioconductor-flowcybar

To create a new environment, run:

mamba create --name myenvname bioconductor-flowcybar

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-flowcybar/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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-flowcybar/README.html)