recipe bioconductor-tidyflowcore

tidyFlowCore: Bringing flowCore to the tidyverse

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/tidyFlowCore.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-tidyflowcore/meta.yaml

tidyFlowCore bridges the gap between flow cytometry analysis using the flowCore Bioconductor package and the tidy data principles advocated by the tidyverse. It provides a suite of dplyr-, ggplot2-, and tidyr-like verbs specifically designed for working with flowFrame and flowSet objects as if they were tibbles; however, your data remain flowCore data structures under this layer of abstraction. tidyFlowCore enables intuitive and streamlined analysis workflows that can leverage both the Bioconductor and tidyverse ecosystems for cytometry data.

package bioconductor-tidyflowcore

(downloads) docker_bioconductor-tidyflowcore

versions:

1.0.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-flowcore:

>=2.18.0,<2.19.0

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

depends r-ggplot2:

depends r-purrr:

depends r-rlang:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

requirements:

additional platforms:

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-tidyflowcore

and update with::

   mamba update bioconductor-tidyflowcore

To create a new environment, run:

mamba create --name myenvname bioconductor-tidyflowcore

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-tidyflowcore:<tag>

(see `bioconductor-tidyflowcore/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-tidyflowcore/README.html)