Which new features did I like the most?
Well, there are so many, it merits a preprint for which @egonw already lend tremendous support.
Anyway, here are my favourites:
- #Snakemake tracks all #metadata during the workflow execution. This caused many(!) file access requrests. Now, we have a SQLite-DB for that purpose, thereby lifting quite some overhead.
- containerizing workflows to a Dockerfile was possible for long time. With "--containerize apptainer" there is direct support for #apptainer
- when a workflow is aborted abruptly it cannot delete its lockfile. Now running `--unlock` will not require calculating the DAG any more.
Oh, there is much, much more. But the Changelog is already linked.
Hi everyone! I'm looking for a reference implementation. In my situation, I want to run a multinode, multigpu model training, based in containers (preferably Singularity, but Docker can be ok). It'...
Galaxy can be adjusted for sensitive data.
In the Netherlands, a GDPR-compliant Galaxy clone runs in an isolated network, converting Toolshed tools to Apptainer containers—secure, auditable, and reproducible.
Read more: https://galaxyproject.org/news/2025-01-20-esg-w-p5/
#UseGalaxy #GalaxyProject #UniFreiburg #EOSC #EuroScienceGateway #SensitiveData #GDPR #PrivacyByDesign #ReproducibleResearch #Bioinformatics #Apptainer #DataGovernance #Netherlands

My head hurts. Doing a deep-dive into containerization/VM with #Jenkins. So many options. I think I'll give #LXD a shot. But frankly, since my #OpenMPI program is already containerized via #Apptainer, I'll just go ahead and build on the (fairly powerful) Jenkins host for now, just to get the pipeline built as a proof of concept.
Time for an adult beverage.
Apptainer: Application Containers for Linux
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