Galaxy for accessible, reproducible, and collaborative data analyses: 2026 update

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Authors: The Galaxy Community, Enis Afgan, Najat Amoukou, Rafael Andrade Buono, Mihail Anton, Christophe Antoniewski, P. W. Austin, Ahmed Hamid Awan, Rolf Backofen, Wendi Anne Bacon, Dannon Baker, Arthur Barreau
+88 more Bérénice Batut, Matthias Bernt, Daniel Blankenberg, Anthony Bretaudeau, Catherine Joan Bromhead, Richard Burhans, Melissa Burke, Scott Cain, Danielle Callan, Martin Čech, María Chavero-Diez, Haswane Chei, Ying Chen (9697), Diana Chiang, John M Chilton, Tyler James Collins, Frederik Coppens, Nate Coraor, Charles Coulombe, Michael R Crusoe, Fabio Cumbo, Triskell Cumunel, Michael D'Silva, Armin Dadras, Céline Dalle, Khai Dang, John Davis, Paul De Geest, Willem de Koning, Giuseppe Defazio, Boris Depoortere, Katherine Do, José Manuel Domínguez Begines, Bert Droesbeke, Erick Nicolas Duarte, Enol Fernández, Jérémy Fix, Giulio Formenti, Julian Frey, Melanie Christine Föll, Carol Gauthier, Kilian Gerberding, Franck Giacomoni, Jeremy Goecks, Nuwan Goonasekera, Nadia Goué, Timothy J. Griffin, Björn Grüning, Aysam Guerler, Yann Guitton, Ove Gustafsson, Kristína Gömöryová, Magdaléna Harakaľová, Helge Hecht, Alireza Heidari, Florian Heyl, Jennifer Hillman‐Jackson, Saskia Hiltemann, Mina Ansari, Hans-Rudolf Hotz, Cameron John Hyde, Pierre‐Étienne Jacques, Pratik Dilip Jagtap, Jayadev Joshi, Marie Jossé, Khaled Moahmmad Ahmad Jumah, Arash Kadkhodaei Elyaderani, Katarzyna Kamieniecka, Teja Kattenborn, Markus Konkol, Leonid Kostrykin, Natalie Kucher, Anup Kumar, Mira Kuntz, Bradley William Langhorst, Delphine Larivière, Yvan Le Bras, Gildas Le Corguillé, Jean Le Cras, Justin Lee, Jan Leendertse, Hugo Lefeuvre, Brane Leskosek, Leandro Miguel Liborio, Romane Libouban, Marisa Loach, Jose David Lopez Tabernero, Lucille Lopez‐Delisle
Cited by: 13
References: 26

Abstract

Galaxy (https://galaxyproject.org), now in its third decade, is a globally accessible, community-driven platform for reproducible and collaborative data analysis. With over 650 000 registered users, major public servers handle ~2 000 000 monthly analysis jobs from ~20 000 users. Recent, massive modernization has overhauled the user interface and workflow infrastructure to improve usability and scalability. Key updates include a redesigned history interface, enhanced tool discovery, a centralized dataset view, and a new visualization framework. Workflow editing is now substantially enhanced with search, undo/redo, and new invocation graph views. Data management is more flexible with intelligent sample sheet handling, expanded collection support, redesigned file source interfaces, and the introduction of "scratch" storage. User-defined repositories like Google Drive, Dropbox, and Zenodo are now enabled by default. Coupled with the growth of the Galaxy Training Network, these advances solidify Galaxy as a robust, widely adopted AI-ready ecosystem for open science.

Fields of Study & Subjects

Scientific Computing and Data Management Research Data Management Practices Cell Image Analysis Techniques

Publication details

Journal / source
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Volume
54
Issue
W1
Pages
W105–W116
Publication date
2 May 2026
Language
EN