BioNT Brings Galaxy Training to German, Spanish, and Italian Learners

new tutorial translation community contributing

Posted on: 1 April 2026

We are thrilled to announce that the BioNT project (Bio Network for Training) has contributed a significant set of human-curated translated Galaxy training materials to the GTN, now live and available to learners worldwide!

What is BioNT?

BioNT is an international consortium of academic institutions and SMEs, co-funded by the EU Digital Europe programme (grant agreement 101100604), running from January 2023 to June 2026. Its mission is to build a high-quality training programme in digital skills for the biotechnology and biomedical sectors, particularly for learners with limited prior experience in biological data handling and computational tools.

The University of Freiburg’s Freiburg Galaxy Team is an active BioNT partner, contributing expertise in bioinformatics training and the Galaxy Training Network.

Human-curated translated Tutorials Now Available

One of BioNT’s core goals is to make training materials accessible to non-English-speaking communities. To that end, the BioNT team has produced careful, human-quality translations of key GTN tutorials into German (DE), Spanish (ES), and Italian (IT).

The following tutorials are now available in four languages:

English German Spanish Italian
Galaxy Intro: From Peaks to Genes Von Peaks zu Genen De picos a genes Dai picchi ai geni
Quality Control [Qualitätskontrolle]/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial_DE.htmll) [Control de calidad]/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial_ES.htmll) Controllo qualità
Mapping Mapping Mapeo Mappatura
Reference-based RNA-Seq Referenzbasierte RNA-Seq-Datenanalyse [Análisis de datos RNA-Seq basados en referencias]/training-material/topics/transcriptomics/tutorials/ref-based/tutorial_ES.htmll) Analisi dei dati RNA-Seq basata su riferimenti
Learning about one gene across biological resources and formats [Lernen über ein Gen]/training-material/topics/data-science/tutorials/online-resources-gene/tutorial_DE.htmll) [Aprendizaje sobre un gen]/training-material/topics/data-science/tutorials/online-resources-gene/tutorial_ES.htmll) Imparare a conoscere un gene
One protein along UniProt Ein Protein entlang der UniProt-Seite Una proteína a lo largo de la página UniProt Una proteina lungo la pagina UniProt

In addition to the tutorials, the BioNT team has translated a comprehensive set of Galaxy FAQs into all three languages, covering common actions such as importing data, creating collections, renaming datasets, using tutorial mode, and more. These translated FAQs are now embedded throughout the corresponding tutorials, giving learners a fully localised experience from start to finish.

Why This Matters

Machine translation can provide a rough guide, but learners, especially those new to bioinformatics, benefit enormously from materials that read naturally in their own language. The BioNT team’s human-translated content ensures that terminology is accurate, explanations are clear, and the learning experience is as smooth as possible for German, Spanish, and Italian-speaking communities across Europe and beyond.

This work is a wonderful example of the GTN community’s commitment to open, FAIR, and inclusive training for everyone.

Thank You!

A huge thank you to all the BioNT contributors who made this possible — translators, reviewers, and everyone involved in getting these materials across the finish line:

Helena Vela avatar Helena Vela , Lisanna Paladin avatar Lisanna Paladin , Alan O'Cais avatar Alan O’Cais Daniela Schneider avatar Daniela Schneider , Saskia Hiltemann avatar Saskia Hiltemann . Silvia Di Giorgio avatar Silvia Di Giorgio . Teresa Müller avatar Teresa Müller , Till Sauerwein avatar Till Sauerwein , Renato Alves avatar Renato Alves ,

We also thank the BioNT consortium partners — including EMBL, ZB MED, EPFL, University of Barcelona, University of Freiburg, University of Oslo, biobyte solutions, RIcapacity, and HPCNow! — for making this international effort possible.

The BioNT project is co-funded by the EU Digital Europe programme, grant agreement number 101100604.

Funding

These organisations or grants provided funding support for the development of this resource


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