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

By E. Afgan, Anton Nekrutenko, Björn A. Grüning, Daniel J. Blankenberg, Jeremy Goecks, Michael C. Schatz, Alexander E. Ostrovsky, Alexandru Mahmoud, A. Lonie, Anna Syme and 90 more. Nucleic Acids Res., 2022

622 citations recorded by the source corpus.

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.

Subfields: Information Systems, Information Systems and Management, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0e39305ec2acedc38d4a9eb7f10c2e5f3308a73c