Year: 2026
Type: article
Abstract: Galaxy is a widely used open-source platform for accessible, reproducible, transparent and scalable data analysis in the life sciences and beyond. Despite its growing adoption across domains, several misconceptions persist about its scope, usability, scalability and relevance to academia and industry. In this manuscript, we identify and address 10 common misconceptions about Galaxy, ranging from the belief that it is limited to genomics, lacks scalability, or is only useful for teaching, to doubts about its ability to support secure data analysis or maintain high software quality as a free and open-source project. We refute each misconception with present evidence based on Galaxy's technical features, real-world use cases, user communities and governance structures. We show that Galaxy is a mature and versatile platform capable of supporting cutting-edge scientific research, education and even clinical workflows across a wide variety of disciplines. By clarifying existing misconceptions, we aim to help researchers, educators, developers and decision-makers better appreciate Galaxy's capabilities and potential within their fields.
Source: PLoS Computational Biology
Institutions: The Open University, Centre National de la Recherche Scientifique, Inserm, Université Clermont Auvergne, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Institut Français de Bioinformatique, University of Freiburg, Institut national de recherche en sciences et technologies du numérique, Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes, Station Biologique de Roscoff, Sorbonne Université, Masaryk University, RECETOX, Johns Hopkins University, SIB Swiss Institute of Bioinformatics, Friedrich Miescher Institute, European Molecular Biology Laboratory
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,043
Awards: G1669370597, Developing a Cancer Galaxy Computational Workbench to Meet Emerging Cancer Data Analysis Needs, CETOCOEN Excellence, An in integrated platform for multiomic analyses of pathogen and host data using scalable public infrastructure, G5802621812, de.NBI - Etablierungsphase - Leistungszentrum: RBC - RNA Bioinformatic, Institut français de bioinformatique, O.S.C.A.R.S. - Open Science Clusters’ Action for Research and Society, The CFDE Cloud Workspace, G9000188334, Expanding the AnVIL (Analysis, Visualization, and Informatics Lab-space), Democratization of Data Analysis in Life Sciences Through Galaxy, Expanding the AnVIL Data Ecosystem
OpenAlex ID: W7129538981