Celebrating the Milestone: 400 Tutorials on the Galaxy Training Network!

gtn

Posted on: 6 June 2024 purlPURL: https://gxy.io/GTN:N00084

The Galaxy Training Network (GTN) has reached an exciting milestone: our 400th tutorial! This achievement is a testament to the dedication and hard work of our community of educators, researchers, and developers over the last 9 years.

The GTN was established to provide comprehensive and accessible training materials for users of the Galaxy, a widely-used, open-source platform that empowers researchers worldwide to conduct data analysis. Over the years, the network has massively grown, both in content and community engagement, reflecting the dynamic nature of scientific research and the continuous need for up-to-date training resources.

2 graphs representing the increase over times of (left) Materials (Tutorials + Slides) and (right) Contributors to the Galaxy Training Network. each grow from ~50 in 2017 to ~500 and ~350 respectively, today.

A Journey of Knowledge and Collaboration

From its inception, the GTN has been driven by the goal of making high-quality, user-friendly tutorials available to everyone. The diverse range of tutorials covers topics from basic Galaxy usage to advanced bioinformatics analyses, catering to both beginners and seasoned researchers.

This 400th tutorial represents more than just a number; it embodies the collaborative spirit and the shared pursuit of knowledge that defines the Galaxy community. Each tutorial was contributed by experts who not only have a deep understanding of their subject matter but also a passion for teaching and community building.

Highlights of Our Tutorials

Our tutorials span a wide array of scientific domains and technical skills (30+ topics), including but not limited to:

  • Genomics: Explore the fundamentals of sequence analysis, variant calling, and genome assembly.
  • Proteomics: Dive into protein identification, quantification, and functional analysis.
  • Ecology: Learn to analyse Ecological data through Galaxy.
  • Machine Learning: Understand the integration of machine learning techniques in biological data analysis.
  • Data Visualization: Master the art of presenting your data in clear and informative ways.

Each tutorial is designed to be interactive, with hands-on exercises that allow users to apply what they’ve learned in real-world scenarios. Moreover, the tutorials are continuously updated to incorporate the latest advancements and tools in the field.

The Power of Community

The GTN’s success is a direct result of the vibrant and collaborative Galaxy community. Contributors from around the globe share their expertise, review content, and provide feedback to ensure the tutorials remain accurate and relevant. This collective effort has created a rich repository of knowledge that is freely accessible to anyone, anywhere. We thank everyone who contributed!

Looking Ahead

As we celebrate this milestone, we remain committed to expanding and enhancing our training materials. We have recently expanded beyond Galaxy into Data Science and command line analyses, and we look forward to expanding to even more new life science topics going forward.

Here’s to the next 400 tutorials and beyond—together, we are advancing science and education, one tutorial at a time!


Recent News

See all news

So many new features! GTN 2023-2024 Updates

9 July 2024   gcc gtn infrastructure

We recently presented the GTN at the 2024 Galaxy Community Conference. This presentation was a summary of the updates and new features that were added to the GTN in the past year.

4th MycobaMycobacterium tuberculosis complex NGS made easy

8 July 2024   NGS Tuberculosis Drug-resistance transmission evolution one-health

Tuberculosis (TB) is a big killer in many countries of the world, particularly in those with low and middle income. Next-generation sequencing has been key in improving our understanding of drug resistance acquisition and of transmission of Mycobacterium tuberculosis. Yet, the need for expertise guiding NGS implementation in laboratories and the lack of bioinformatic expertise, are main obstacles hindering the implementation of NGS into TB programs.

GTN Video Library 2.0: 107 hours of learning across 154 videos

14 June 2024   gtn

Many GTN tutorials already have recordings. These recordings were made by members of the community for a variety of (online) training events. Up until now, this video library were part of the Gallantries Project. We have now integrated this video library directly into the GTN, and made it even easier to add video recordings to GTN tutorials or slide decks! Just use a Google Form to submit your video recordings!

Phylogenetics tutorial takes researchers back to basics!

13 June 2024   Phylogenetics Tutorial GTN Australian BioCommons

A new Galaxy Training Network tutorial has been created to take researchers back to basics to uncover the principles of phylogenetics and how tree-building methods work. A longstanding collaboration between Professor Michael Charleston from the University of Tasmania and Australian BioCommons has delivered this self-guided tutorial featuring videos and hands-on exercises. To maximise its impact, the resource was tailored specifically to be shared globally via the Galaxy Training Network, and will form the basis of an upcoming live training workshop.

From GTN Intern to Tutorial Author to Bioinformatician

13 June 2024   single-cell training education trajectory user contributor

With growing access and interest in sequencing data, Galaxy is a knight in shining armor for wet lab scientists hoping to analyze their own data. With long term intentions of increasing access to bioinformatic analyses, the Galaxy Training Network (GTN) creates a safe space where non-computer-scientists may analyze their own data and even learn to code: an invaluable skill in today’s scientific world. Galaxy introduced me to brand new skills as an undergraduate and ultimately changed the trajectory of my career. Here is my story as a biology undergraduate with no coding experience turned GTN contributor &, eventually, coding bioinformatician: thanks to Galaxy.