The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update
2022
Afgan, Enis | Nekrutenko, Anton | Grüning, Bjórn | Blankenberg, Daniel | Goecks, Jeremy | Schatz, Michael | Ostrovsky, Alexander | Mahmoud, Alexandru | Lonie, Andrew | Syme, Anna | Fouilloux, Anne | Bretaudeau, Anthony | Nekrutenko, Anton | Kumar, Anup | Eschenlauer, Arthur | Desanto, Assunta | Guerler, Aysam | Serrano-Solano, Beatriz | Batut, Bérénice | Grüning, Björn | Langhorst, Bradley | Carr, Bridget | Raubenolt, Bryan | Hyde, Cameron | Bromhead, Catherine | Barnett, Christopher | Royaux, Coline | Gallardo, Cristóbal | Blankenberg, Daniel | Fornika, Daniel | Baker, Dannon | Bouvier, Dave | Clements, Dave | de Lima Morais, David | Tabernero, David Lopez | Lariviere, Delphine | Nasr, Engy | Afgan, Enis | Zambelli, Federico | Heyl, Florian | Psomopoulos, Fotis | Coppens, Frederik | Price, Gareth | Cuccuru, Gianmauro | Corguillé, Gildas Le | von Kuster, Greg | Akbulut, Gulsum Gudukbay | Rasche, Helena | Hotz, Hans-Rudolf | Eguinoa, Ignacio | Makunin, Igor | Ranawaka, Isuru | Taylor, James | Joshi, Jayadev | Hillman-Jackson, Jennifer | Goecks, Jeremy | Chilton, John | Kamali, Kaivan | Suderman, Keith | Poterlowicz, Krzysztof | Le Bras, Yvan | Lopez-Delisle, Lucille | Sargent, Luke | Bassetti, Madeline | Tangaro, Marco Antonio | van den Beek, Marius | Čech, Martin | Bernt, Matthias | Fahrner, Matthias | Tekman, Mehmet | Föll, Melanie | Pétéra, Mélanie | Schatz, Michael | Crusoe, Michael | Roncoroni, Miguel | Kucher, Natalie | Coraor, Nate | Stoler, Nicholas | Rhodes, Nick | Soranzo, Nicola | Pinter, Niko | Goonasekera, Nuwan | Moreno, Pablo | Videm, Pavankumar | Mandreoli, Pietro | Jagtap, Pratik | Gu, Qiang | Weber, Ralf | Lazarus, Ross | Vorderman, Ruben | Hiltemann, Saskia | Golitsynskiy, Sergey | Garg, Shilpa | Bray, Simon | Gladman, Simon | Leo, Simone | Mehta, Subina | Griffin, Timothy | Jalili, Vahid | Yves, Vandenbrouck | Wen, Victor | Nagampalli, Vijay | Bacon, Wendi | de Koning, Willem | Maier, Wolfgang | Briggs, Peter | Institut de Génétique, Environnement et Protection des Plantes (IGEPP) ; Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Plateforme Exploration du Métabolisme (PFEM) ; MetaboHUB-Clermont ; MetaboHUB-MetaboHUB-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA)
International audience
Show more [+] Less [-]English. 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.
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Bibliographic information
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