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

Enis Afgan, Anton Nekrutenko, Bjórn A Grüning, Daniel Blankenberg, Jeremy Goecks, Michael C Schatz, Alexander E Ostrovsky, Alexandru Mahmoud, Andrew J Lonie, Anna Syme, Anne Fouilloux, Anthony Bretaudeau, Anup Kumar, Arthur C Eschenlauer, Assunta D DeSanto, Aysam Guerler, Beatriz Serrano-Solano, Bérénice Batut, Björn A Grüning, Bradley W Langhorst, Bridget Carr, Bryan A Raubenolt, Cameron J Hyde, Catherine J Bromhead, Christopher B Barnett, Coline Royaux, Cristóbal Gallardo, Daniel J Fornika, Dannon Baker, Dave Bouvier, Dave Clements, David A de Lima Morais, David Lopez Tabernero, Delphine Lariviere, Engy Nasr, Federico Zambelli, Florian Heyl, Fotis Psomopoulos, Frederik Coppens, Gareth R Price, Gianmauro Cuccuru, Gildas Le Corguillé, Greg Von Kuster, Gulsum Gudukbay Akbulut, Helena Rasche, Hans-Rudolf Hotz, Ignacio Eguinoa, Igor Makunin, Isuru J Ranawaka, James P Taylor, Jayadev Joshi, Jennifer Hillman-Jackson, John M Chilton, Kaivan Kamali, Keith Suderman, Krzysztof Poterlowicz, Le Bras Yvan, Lucille Lopez-Delisle, Luke Sargent, Madeline E Bassetti, Marco Antonio Tangaro, Marius van den Beek, Martin Čech, Matthias Bernt, Matthias Fahrner, Mehmet Tekman, Melanie C Föll, Michael R Crusoe, Miguel Roncoroni, Natalie Kucher, Nate Coraor, Nicholas Stoler, Nick Rhodes, Nicola Soranzo, Niko Pinter, Nuwan A Goonasekera, Pablo A Moreno, Pavankumar Videm, Petera Melanie, Pietro Mandreoli, Pratik D Jagtap, Qiang Gu, Ralf J M Weber, Ross Lazarus, Ruben H P Vorderman, Saskia Hiltemann, Sergey Golitsynskiy, Shilpa Garg, Simon A Bray, Simon L Gladman, Simone Leo, Subina P Mehta, Timothy J Griffin, Vahid Jalili, Vandenbrouck Yves, Victor Wen, Vijay K Nagampalli, Wendi A Bacon, Willem de Koning, Wolfgang Maier, Peter J Briggs

doi:10.1093/nar/gkac247

<jats:title>Abstract</jats:title> <jats:p>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.</jats:p>

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

Abstract

Journal

Citations (1)*help

Details 詳細情報について

Export

Report a problem