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.
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Analyzing shared references across papers
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The Galaxy Community
Enis Afgan
Johns Hopkins University
Najat Amoukou
Nucleic Acids Research
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Analyzing shared references across papers
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Community et al. (Sat,) studied this question.
synapsesocial.com/papers/6a2a50b680c8f91e7f39d2b3 — DOI: https://doi.org/10.1093/nar/gkag469