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

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  • 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
  • Anton Nekrutenko
  • Anup Kumar
  • Arthur C. Eschenlauer
  • Assunta D. Desanto
  • Aysam Guerler
  • Beatriz Serrano-Solano
  • Bérénice Batut
  • Björn A. Grüning
  • Og 85 flere
  • Bradley W. Langhorst
  • Bridget Carr
  • Bryan A. Raubenolt
  • Cameron J. Hyde
  • Catherine J. Bromhead
  • Christopher B. Barnett
  • Coline Royaux
  • Cristóbal Gallardo
  • Daniel Blankenberg
  • Daniel J. Fornika
  • Dannon Baker
  • Dave Bouvier
  • Dave Clements
  • David A. De Lima Morais
  • D. L. Tabernero
  • Delphine Lariviere
  • Engy Nasr
  • Enis Afgan
  • Federico Zambelli
  • Florian Heyl
  • Fotis Psomopoulos
  • Frederik Coppens
  • Gareth R. Price
  • Gianmauro Cuccuru
  • Gildas Le Corguillé
  • Greg Von Kuster
  • Gulsum Gudukbay Akbulut
  • Helena Rasche
  • Hotz Hans-Rudolf
  • 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 Cech
  • Matthias Bernt
  • Matthias Fahrner
  • Mehmet Tekman
  • Melanie C. Föll
  • Michael C. Schatz
  • 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
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.
OriginalsprogEngelsk
TidsskriftNucleic Acids Research
Vol/bind50
Udgave nummerW1
Sider (fra-til)W345-W351
Antal sider7
ISSN0305-1048
DOI
StatusUdgivet - 2022

Bibliografisk note

Correction: https://doi.org/10.1093/nar/gkac610
https://academic.oup.com/nar/article/50/15/8999/6651867
Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research.

ID: 342571881