Package Recipe 'bioconductor-hcatonsildata'

recipe bioconductor-hcatonsildata

Provide programmatic access to the tonsil cell atlas datasets

Homepage:: https://bioconductor.org/packages/3.20/data/experiment/html/HCATonsilData.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-hcatonsildata/meta.yaml

This package provides access to the scRNA-seq, scATAC-seq, multiome, CITE-seq and spatial transcriptomics (Visium) data generated by the tonsil cell atlas in the context of the Human Cell Atlas (HCA). The data is provided via the Bioconductor project in the form of SingleCellExperiments. Additionally, information on the whole compendium of identified cell types is provided in form of a glossary.

package bioconductor-hcatonsildata¶

Versions:

1.8.0-0, 1.4.0-0, 1.0.0-0

Depends:

on bioconductor-data-packages >=20260207
on bioconductor-experimenthub >=3.0.0,<3.1.0
on bioconductor-hdf5array >=1.38.0,<1.39.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on bioconductor-spatialexperiment >=1.20.0,<1.21.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on curl
on r-base >=4.5,<4.6.0a0
on r-base64enc
on r-htmltools
on r-rmarkdown

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-hcatonsildata

to add into an existing workspace instead, run:

pixi add bioconductor-hcatonsildata

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-hcatonsildata

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-hcatonsildata

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see bioconductor-hcatonsildata/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

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-hcatonsildata/README.html)