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.

Galaxy for accessible, reproducible, and collaborative data analyses: 2026 update / E. Afgan, N.A.. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 54:W1(2026 Jul), pp. 105-116. [10.1093/nar/gkag469]

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

F. Zambelli
Membro del Collaboration Group
;
2026

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.
Settore BIOS-08/A - Biologia molecolare
lug-2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1261157
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