freezing Python dependencies inside Bioconductor packages


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.

The parallel installation of multiple versions of the same software is not supported in Debian - that is meant as a feature, not as a bug. Earlier versions of anything that has ever surfaced in Debian can be retrieved via snapshot.debian.org and integrated in a running system via a chroot directory or by creating a container. An increasing number of Python-R-interactions for machine learning however uses basilisk to help quick'n'easy reproducibility between installations.

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