Package Recipe 'bioconductor-anvilaz'

recipe bioconductor-anvilaz

R / Bioconductor Support for the AnVIL Azure Platform

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/AnVILAz.html
License:: Artistic-2.0
Recipe:: /bioconductor-anvilaz/meta.yaml

The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVILAz package supports end-users and developers using the AnVIL platform in the Azure cloud. The package provides a programmatic interface to AnVIL resources, including workspaces, notebooks, tables, and workflows. The package also provides utilities for managing resources, including copying files to and from Azure Blob Storage, and creating shared access signatures (SAS) for secure access to Azure resources.

package bioconductor-anvilaz¶

Versions:

1.4.0-0, 1.0.0-0

Depends:

on bioconductor-anvilbase >=1.4.0,<1.5.0
on bioconductor-biocbaseutils >=1.12.0,<1.13.0
on r-base >=4.5,<4.6.0a0
on r-curl
on r-httr2
on r-jsonlite
on r-rjsoncons
on r-tibble

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-anvilaz

to add into an existing workspace instead, run:

pixi add bioconductor-anvilaz

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-anvilaz

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-anvilaz

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-anvilaz:<tag>

(see bioconductor-anvilaz/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-anvilaz/README.html)