recipe bioconductor-basilisk

Freezing Python Dependencies Inside Bioconductor Packages

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/basilisk.html

License:

GPL-3

Recipe:

/bioconductor-basilisk/meta.yaml

Installs a self-contained conda instance that is managed by the R/Bioconductor installation machinery. This aims to provide a consistent Python environment that can be used reliably by Bioconductor packages. Functions are also provided to enable smooth interoperability of multiple Python environments in a single R session.

package bioconductor-basilisk

Versions:

1.10.2-0,  1.9.12-0,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-basilisk.utils >=1.10.0,<1.11.0

• bioconductor-dir.expiry >=1.6.0,<1.7.0

• r-base >=4.2,<4.3.0a0

• r-reticulate

Required By:

• bioconductor-mofa2

• bioconductor-snifter

• bioconductor-zellkonverter

• bioconductor-flames

• bioconductor-simbu

• bioconductor-spatialde

• bioconductor-cbpmanager

• bioconductor-biocsklearn

• bioconductor-macsr

• bioconductor-densvis

• bioconductor-vdjdive

• bioconductor-velociraptor

• bioconductor-crisprscore

• bioconductor-rcwl

• bioconductor-dasper

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-basilisk

and update with:

conda update bioconductor-basilisk

or use the docker container:

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

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

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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-basilisk/README.html)