Galaxy 26.0 brings major new capabilities to the Galaxy experience, from built-in AI assistance and interactive visualization to smarter workflow completion and easier troubleshooting. Explore the user release notes.
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!
A small tool-form extension can mark legacy tools as deprecated, keep them available for reproducibility, and guide users toward faster and more efficient alternatives.
Galaxy's job cache improves performance, supports large training events, and advances environmental sustainability efforts within ELIXIR-STEERS by reducing redundant tool executions
Researchers at STFC are developing vEPAC, a Galaxy-based end-to-end simulation framework for compact plasma accelerators, integrating laser modelling, plasma dynamics, and radiation transport into a unified computational workflow.
IU-led Jetstream2 cloud computing and the Galaxy platform power the Vertebrate Genomes Project to produce 272 near error-free genome assemblies across 271 species.
We are thrilled to announce that 'Ten Common Misconceptions About Galaxy (And Why They Are Wrong!)' has just been published in PLOS Computational Biology! This paper is the result of passionate discussions, collaborative debates, and a shared commitment to clarifying what Galaxy truly is—and what it can do. Whether you are a longtime Galaxy user or new to the platform, this paper will challenge assumptions and highlight Galaxy's versatility, scalability, and impact across disciplines.
We're excited to announce the collaboration between DaSCH, the Swiss National Data and Service Center for the Humanities, and the data analysis platform Galaxy.
Galaxy returned to PAG33 with a community-focused workshop and its first-ever exhibition booth, highlighting recent advances in genomics, microbiome research, machine learning, and training.
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.
Preview the contents of local or remote ZIP archives, explore rich RO-Crate metadata, and import only the files you need directly from the Galaxy interface.
Galaxy 25.1 introduces a powerful new credentials system that lets tools securely access external APIs and services with encrypted secret storage and a streamlined user experience.
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.
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.
From celebrating 20 years of Galaxy to highlighting this year’s releases, training milestones, and research breakthroughs, this final newsletter of 2025 reflects on how far the community has come and looks ahead to what’s next.
Galaxy 25.1 brings a modern card-based history interface with advanced keyboard navigation, powerful Sample Sheets for complex workflow inputs, an enhanced Tool Discovery view with EDAM ontology integration, the new Galaxy Charts visualization framework featuring IGV.js genome browser, a dedicated Recent Exports & Downloads page, visual indicators for short-term storage expiration, secure tool credentials and authentication management, workflow editor search capabilities, a redesigned User Preferences interface, and much more!
Freiburg Galaxy team recently joined experts in Göttingen for the 1st Open Architecture Workshop to help shape the future technical foundations of the National Research Data Infrastructure (NFDI). The team presented their cloud-oriented architecture and shared critical insights from the PLANT DataHUB regarding scalable storage and the "Software as a Service" approach. Read the full report to discover how collaborative efforts and common building blocks, such as ARC RO-crates, are driving the development of a robust and interoperable data ecosystem.
At the EOSC Symposium 2025, a standout example was the BERD@NFDI B-Plan use case, a project demonstrating how the Galaxy Europe platform provides the analytical engine to transform complex, unstructured planning data into FAIR research assets for the entire European research community.
Join the newly formed Tool Developers Special Interest Group (SIG) to collaborate on high-quality tool maintenance and standardize best practices across the Galaxy ecosystem. This initiative offers a dedicated space for mentorship, peer review, and community-driven development for developers of all experience levels.
Data Terra, the EOSC thematic node for the environment, demonstrated how the Galaxy platform accelerates environmental research through interoperable, FAIR data workflows within the EOSC Federation. From satellite plumes to ecosystem blooms.
At the EOSC Symposium 2025, the Polish EOSC Node demonstrated a complete FAIR research workflow powered by Galaxy and PLGrid’s Pulsar integrating data analysis, execution, and provenance tracking through Onedata. The presentation video and full details are available via the [EOSC Node - Poland](https://eosc.pl/search/all_collection?q=EOSC%20Symposium%20Demo).
Galaxy showed how 'one framework, one workflow, many communities' can run cross-disciplinary imaging analyses on the emerging EOSC Federation. Here is what we presented, with slides and video.
Galaxy was in full force at Genome Informatics 2025, presenting cutting-edge work on scalable analysis, interactive workflows, and high-quality genome curation.