Happy fifth birthday to Training Infrastructure as a Service (TIaaS) that powers so many of our events in the past years! https://github.com/galaxyproject/tiaas2

Thank you to the Freiburg Galaxy Team @galaxyfreiburg @unifreiburgRZ, the US Galaxy team @galaxyproject, and the Australian Galaxy and French Galaxy teams for all being part of the TIaaS success story!

It is such an accomplishment that we provided infra for 24,000 students over the last 5 years.

GitHub - galaxyproject/tiaas2: Reusable Training Infrastructure as a Service

Reusable Training Infrastructure as a Service. Contribute to galaxyproject/tiaas2 development by creating an account on GitHub.

GitHub

A few weeks late for it's birthday, but TIaaS is finally properlly published!

Check out our publication in #GigaScience for how we built infrastructure supporting 24k learners over the last 5 years.

https://doi.org/10.1093/gigascience/giad048

Authored by @hexylena and the amazing team of TIaaS Contributors and PIs supporting this work across three continents.

Training Infrastructure as a Service

AbstractBackground. Hands-on training, whether in bioinformatics or other domains, often requires significant technical resources and knowledge to set up and ru

OUP Academic

"In the past 60 months, 504 training events with over 24,000 learners have used this infrastructure for Galaxy training."

Wow! https://bio.tools/tiaas sure has become a critical part of the Galaxy Training path.

It's supported trainings around the entire world, on every continent¹ thanks to @unifreiburgRZ @galaxyfreiburg @AusBioCommons and @galaxyproject

¹ except Antarctica, if anyone wants to host a training there let us know 😉

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and a special thanks to @bgruening for making this all possible and putting the full weight of https://UseGalaxy.eu's infrastructure behind TIaaS, that's what really made this the massive success it is!
Galaxy

Galaxy is a community-driven web-based analysis platform for life science research.

@gtn the GTN in combination with truly open infrastructure is democratising data analysis. Thanks to all our funders and people supporting us on this mission.