Published in

Oxford University Press, Nucleic Acids Research, W1(50), p. W345-W351, 2022

DOI: 10.1093/nar/gkac247

Links

Tools

Export citation

Search in Google Scholar

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update

Journal article published in 2022 by Enis Afgan, Anton Nekrutenko, Bjórn A. Grüning, Jeremy Goecks, Michael C. Schatz, Alexander E. Ostrovsky, Alexandru Mahmoud, Andrew J. Lonie, Anna Syme, Anne Fouilloux, Anup Kumar, Arthur C. Eschenlauer, Assunta D. Desanto, Aysam Guerler, Beatriz Serrano-Solano and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Abstract Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues to use, maintain and contribute to the project, with support from multiple national infrastructure providers that enable freely accessible analysis and training services. The Galaxy Training Network supports free, self-directed, virtual training with >230 integrated tutorials. Project engagement metrics have continued to grow over the last 2 years, including source code contributions, publications, software packages wrapped as tools, registered users and their daily analysis jobs, and new independent specialized servers. Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.