News (15)
MaterialVital-Digital Kickoff
MaterialVital-Digital (MVD) project kickoff meeting on 23rd February 2026 at VDI office in Düsseldorf, Germany
Integration of the Dataverse with Galaxy
Galaxy users can now connect to a Dataverse as a repository source, browse and search datasets directly from the Upload dialog, import files into histories and utilize them for scientific analyses.
GPU-accelerated genome mapper Parabricks FQ2BAM is now in Galaxy
NVIDIA Parabricks GPU-accelerated FQ2BAM is now available in Galaxy, bringing FASTQ-to-BAM alignment runtime to just a few minutes for 2.5 GB paired-end human whole-genome datasets. Its runtime is benchmarked against BWA-MEM2 and BWA across five runs and shows that mapping and QC metrics remain essentially identical to CPU-based alignment—while delivering a major speedup for Galaxy workflows.
Integration of the Hugging Face Hub with Galaxy
Galaxy users can now browse the Hugging Face Hub as a repository source, import models straight into their histories, and feed them into tools. A step-by-step example shows how to pull models from the Hugging Face Hub into Galaxy and then using the existing DocLayout-YOLO tool for document layout segmentation.
Leveraging Deep Learning & AI in Your Research on Galaxy
New AI/ML tools and tutorials on Galaxy for your biomedical research
New Galaxy Tool: Identify Label Issues in Machine Learning Datasets Using Cleanlab
Identify Label Issues in Machine Learning Datasets Using Cleanlab
First MaterialVital-Digital Workshop in Saarbrücken
The Leibniz Institute for New Materials (INM), the Fraunhofer Institute for Mechanics of Materials (IWM), and the University of Freiburg met in Saarbrücken to discuss user journeys as a guide for the digitalization of Engineered Living Materials (ELM) development.
TabPFN: Foundation Model for Tabular Data in Galaxy
Fast machine learning method for making predictions on any tabular data
Achievements during the ’Image Analysis in Galaxy’ hackathon
Find out the new features that are now available for image analysts!
Inference using a publicly available pre-trained AI model (BioModels) in Galaxy
Use a Galaxy tool for making prediction on test data using publicly available pre-trained AI model (BioModels) served via a Docker container
New Paper "Transformer-based tool recommendation system in Galaxy"
New BMC Bioinformatics Paper on "Transformer-based tool recommendation system in Galaxy" Abstract: Background: Galaxy is a web-based open-source platform for scientific analyses.
ChatGPT in Galaxy via Jupyter notebooks
Use ChatGPT in Galaxy Europe via JupyterLab interactive tool.
GPU-enabled deep learning on Galaxy
Taking advantage of Galaxy's GPU computing nodes
GPU-enabled JupyterLab enables interactive AI use-cases in Galaxy
Democratising GPU infrastructures by providing accelerated JuypterLab instances via Galaxy and combining them with HPC workflows
Machine learning in Galaxy
Artificial intelligence (machine learning and deep learning) algorithms are being increasingly applied in several fields of Bioinformatics such as drug-response and protein structure prediction, imputing missing data in single-cell gene expression, modelling evolution in biological sequences and many more.
Events (5)
DOMPS SYMPOSIUM 2026
The use of AI in biological research
Galaxy Community Call: JupyterLab interactive tool
A forum to share updates and discuss community-wide topics
AI-powered data analysis within the European Galaxy
Workshop at the ELIXIR All Hands 2022
New Trends in Bioinformatics
Machine Learning and FAIR Workflows
Introduction to Machine Learning using Galaxy - POSTPONED
in Freiburg