recipe bioconductor-hdcytodata

Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats

Homepage:

https://bioconductor.org/packages/3.20/data/experiment/html/HDCytoData.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-hdcytodata/meta.yaml

Data package containing a set of publicly available high-dimensional cytometry benchmark datasets, formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels (where available), and labels identifying 'spiked in' cells (where available). Column metadata includes channel names, protein marker names, and protein marker classes (cell type or cell state).

package bioconductor-hdcytodata

versions:

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0, 

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.1-0

depends bioconductor-data-packages:

>=20241103

depends bioconductor-experimenthub:

>=2.14.0,<2.15.0

depends bioconductor-flowcore:

>=2.18.0,<2.19.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends curl:

depends r-base:

>=4.4,<4.5.0a0

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-hdcytodata

and update with::

   mamba update bioconductor-hdcytodata

To create a new environment, run:

mamba create --name myenvname bioconductor-hdcytodata

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-hdcytodata:<tag>

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

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