recipe bioconductor-metacyto

MetaCyto: A package for meta-analysis of cytometry data

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-metacyto/meta.yaml

This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.

package bioconductor-metacyto

(downloads) docker_bioconductor-metacyto

versions:
1.24.0-01.22.0-01.20.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.0-01.8.0-0

1.24.0-01.22.0-01.20.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.0-01.8.0-01.6.0-11.4.1-01.4.0-0

depends bioconductor-flowcore:

>=2.14.0,<2.15.0

depends bioconductor-flowsom:

>=2.10.0,<2.11.0

depends r-base:

>=4.3,<4.4.0a0

depends r-cluster:

depends r-fastcluster:

depends r-ggplot2:

depends r-metafor:

depends r-tidyr:

>=0.7

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-metacyto

and update with::

   mamba update bioconductor-metacyto

To create a new environment, run:

mamba create --name myenvname bioconductor-metacyto

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-metacyto:<tag>

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

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