BioNT
BIONT – BIO Network for Training – is an international consortium of academic entities and SMEs with the aim to provide a high-quality training program and community for digital skills relevant to the biotechnology industry and biomedical sector.
Project is running from 2023-2026.
The basic curriculum of the program aims at employees or job seekers with limited prior experience in handling, processing and visualizing biological data and/or the usage of computational biology tools.
The advanced curriculum is targeted at Data Stewards, System Administrators, and other professionals who hold leading roles in the management and deployment of computational resources at their workplaces. It is building upon the strong expertise in digital literacy training of its members as well as on its wide network of collaborations and other initiatives aimed at professionalizing Life Sciences data management, processing and analysis skills.
Standardization and state- of-the-art technological implementation will reinforce the training and outreach activities plan.
The program builds on short dedicated remote workshops as well as training recordings and will generate specific training material as Open Educational Resources which will be made available in a dedicated web platform.
The consortium structure and high connectivity to relevant networks will foster project sustainability and efficient knowledge delivery to the stakeholders throughout the entire duration of the project and beyond, all this under a well defined and transparent management system.
University of Freiburg is participating in BioNT through the BioInformatics group Freiburg and its Freiburg Galaxy Team.
We are responsible for delivering training in BioNT, like “A practical introduction to bioinformatics and RNA-seq using Galaxy” and “From Zero to Hero with Python”. Moreover, we provide consultancy on the Galaxy Training network and the Galaxy Team helps shape the report concerning language-specific communities, the selection of workshops’ participants, coordination with the Carpentries and project ambassador recruitment and communication.
Coordinator contact:
European Molecular Biology Laboratory, EMBL
Meyerhofstr. 1, 69126 Heidelberg, Germany
contact@biont-training.eu
List of participants:
Full list of partners and their direct contacts you can find on the BioNT website
- European Molecular Biology Laboratory
- ZB MED – Information Centre for Life Sciences
- École polytechnique fédérale de Lausanne
- University of Barcelona
- Albert-Ludwigs-Universität Freiburg
- University of Oslo
- biobyte solutions
- RIcapacity
- HPCNow!
Previous partners: Simula consulting
Project results:
BioNT has developed multiple training courses on digital skills (see list below). Materials for the courses and information about each course can be found on the BIONT Website
- System administration for HPC
- Applied Machine Learning for Biological Data
- Awareness in Data Management and Analysis for Industry and Research
- Code & Collaborate: The FAIRytale of Software Development
- An introduction to High Performance Computing
- From Zero to Hero with Python
- A practical introduction to bioinformatics and RNA-seq using Galaxy
- Strategies for training and knowledge exchange with a consulting perspective
Funding:
This project is co-funded by the EU Digital Europe program, grant agreement number 101100604.
Disclaimer: Views and opinions expressed on this page are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Members
These GTN contributors have noted that they are affiliated in some way with this organisation. This list is non-exhaustive, and randomly ordered.
Former Members
These individuals have noted that they previously were affiliated in some way with this organisation. This list is non-exhaustive.
Contributions
The following list includes only slides and tutorials where the individual or organisation has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
Tutorials
- Using Galaxy and Managing your Data / Use Jupyter notebooks in Galaxy 💵
- Foundations of Data Science / One protein along the UniProt page 💵
- Foundations of Data Science / Learning about one gene across biological resources and formats 💵
- Introduction to Galaxy Analyses / Von Peaks zu Genen 💵
- Foundations of Data Science / Ein Protein entlang der UniProt-Seite 💵
- Foundations of Data Science / Lernen über ein Gen über biologische Ressourcen und Formate hinweg 💵
- Sequence analysis / Mapping 💵
- Sequence analysis / Qualitätskontrolle 💵
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 💵
- Introduction to Galaxy Analyses / De picos a genes 💵
- Foundations of Data Science / Una proteína a lo largo de la página UniProt 💵
- Foundations of Data Science / Aprendizaje sobre un gen a través de recursos y formatos biológicos 💵
- Sequence analysis / Mapeo 💵
- Sequence analysis / Control de calidad 💵
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias 💵
- Introduction to Galaxy Analyses / Dai picchi ai geni 💵
- Foundations of Data Science / Una proteina lungo la pagina UniProt 💵
- Foundations of Data Science / Imparare a conoscere un gene attraverso risorse e formati di dato biologici 💵
- Sequence analysis / Mappatura 💵
- Sequence analysis / Controllo qualità 💵
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 💵
Slides
Learning Pathways
FAQs
- Los resultados pueden variar 💵
- I risultati possono variare 💵
- Ergebnisse können variieren 💵
- Crear una colección de conjuntos de datos 💵
- Creare una raccolta di set di dati 💵
- Erstellen einer Datensatzsammlung 💵
- Creación de una colección emparejada 💵
- Creazione di una raccolta accoppiata 💵
- Erstellen einer gepaarten Sammlung 💵
- Añadir una etiqueta 💵
- Aggiunta di un tag 💵
- Hinzufügen eines Tags 💵
- Modifica del tipo di dato 💵
- Ändern des Datentyps 💵
- Creación de un nuevo fichero 💵
- Creare un nuovo file 💵
- Erstellen einer neuen Datei 💵
- Importar datos de una biblioteca de datos 💵
- Importare i dati da una libreria di dati 💵
- Importieren von Daten aus einer Datenbibliothek 💵
- Importación por medio de enlaces 💵
- Importazione tramite link 💵
- Importieren über Links 💵
- Cambiar el nombre de un conjunto de datos 💵
- Rinominare un set di dati 💵
- Umbenennen eines Datensatzes 💵
- Uso del scratchbook para ver varios conjuntos de datos 💵
- Usare la Gestione finestre per visualizzare più insiemi di dati 💵
- Verwendung des Fenstermanagers zur Anzeige mehrerer Datensätze 💵
- Copiar un conjunto de datos entre historiales 💵
- Copiare un set di dati tra le cronologie 💵
- Kopieren eines Datensatzes zwischen Historien 💵
- Para la creación de un historial nuevo 💵
- Creare una nuova cronologia 💵
- Erstellen eines neuen Verlaufs 💵
- Rinominare una cronologia 💵
- Umbenennen eines Verlaufs 💵
- Qualitätswerte 💵
- Puntuación de calidad 💵
- Punteggi di qualità 💵
- Cambiar la versión de la herramienta 💵
- Cambiare la versione dello strumento 💵
- Ändern der Werkzeugversion 💵
- Selección de una colección de conjuntos de datos como entrada 💵
- Selezione di una raccolta di dati come input 💵
- Auswählen einer Datensatzsammlung als Eingabe 💵
- Seleccionar varios conjuntos de datos 💵
- Selezionare più insiemi di dati 💵
- Mehrere Datensätze auswählen 💵
- Múltiples herramientas similares disponibles 💵
- Strumenti simili alla compilazione multipla disponibili 💵
- Multipile ähnliche Werkzeuge verfügbar 💵
- Utilizar modo tutorial 💵
- Utilizzo della modalità tutorial 💵
- Tutorial-Modus verwenden 💵
Events
- A practical introduction to bioinformatics and RNA-seq using Galaxy 💵
- From zero to hero with Python 💵
- BioNT Community Event & CarpentryConnect - Heidelberg 2024 💵
- An introduction to High Performance Computing 💵
- Code & Collaborate: The FAIRytale of Software Development 💵
- Awareness in Data Management and Analysis for Industry and Research 💵
- Galaxy Training Academy 2025 💵
- Galaxy Training Academy 2026 💵
- Galaxy Training Academy 2024 💵
News
External Links
Website: https://biont-training.eu/Funding information
Grant ID:
101100604
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